Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationThu, 20 Dec 2012 14:01:15 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/20/t1356030139olirtwou6tdeo8p.htm/, Retrieved Thu, 31 Oct 2024 23:05:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=203022, Retrieved Thu, 31 Oct 2024 23:05:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact139
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [model 1] [2012-11-16 09:39:46] [74be16979710d4c4e7c6647856088456]
- R       [Multiple Regression] [] [2012-12-20 19:01:15] [b650a28572edc4a1d205c228043a3295] [Current]
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Dataseries X:
8	1	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	0	0
9	1	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	0	0
8	1	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	0	0
5	1	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1	0
3	1	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0
4	0	0	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0
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6	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0
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7	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0
3	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1	1	0	0
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1	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0	0	0	1	0	0
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11	1	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0
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7	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0	0	0	1	0	0
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21	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	0	0	0	0	1	0	0
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3	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	1
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2	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	1	0
8	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0
4	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0
11	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0
12	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0	1	0	0
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11	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0
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8	1	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0
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10	1	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0
9	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0
11	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0
9	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0
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8	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1	0	0	0	1	0	0
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8	1	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0
10	1	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0
7	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1	0	0	0	1	0	0
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7	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0
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5	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0
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3	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1
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2	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0	0	0	1
9	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0	0	0	1
2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0
0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1
0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1
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0	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	0	0
0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1
0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1
0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0	0	0	1	0	0
0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0	0	0	1	0	0
0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0	0	0	1	0	0
2	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0
1	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0
1	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0	0	0	1	0	0
0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	1	0	0
3	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1	0
2	1	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	0	0
4	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	1	0	0
3	1	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0
1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0
16	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	1	1	0	0
6	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1
9	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	1	0	0
9	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0
0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0
9	1	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	0	0
8	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	1	0	0
0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0	0	0	1	0	0
1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	0	0
12	1	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	0	0
10	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0
7	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0
13	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1
16	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1
6	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	1	0	0
7	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0
5	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1	0	0	0	0	1	0
9	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0	0	0	1
11	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	0	1	0	0
11	1	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0
13	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	1	0	0
13	1	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0
0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0
12	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1
12	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1	0	0	0	1	0	0
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2	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0
12	1	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0
7	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0
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0	1	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	0	1	0
6	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0	0	0	1	0	0
14	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1
10	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0
11	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	1	0	0
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8	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1	0	0	0	0	1	0
12	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1	0	0	0	0	0	1
0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0	1	0	0
10	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	1	0	0
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0	0	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0
9	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0
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19	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1
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22	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	0	1	0	0
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15	0	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0
7	1	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0
15	1	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	0	0
15	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0
11	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1	1	0	0
2	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0
1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0
5	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0
5	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0
4	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	1
7	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	1
5	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	1
4	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	1
2	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time78 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 78 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203022&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]78 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203022&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203022&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time78 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







Multiple Linear Regression - Estimated Regression Equation
y[t] = + 16.3086133303186 + 1.35805333634804c2[t] -1.40226669792777scha05[t] + 0.383645064616055sch06[t] + 1.35453813277825sch31[t] + 3.2147407094081sch00[t] + 0.861507003802852sch53[t] -1.30791392379503sch16[t] -0.0834565510358702sch41[t] + 0.492485936816628sch17[t] + 3.43057226320932sch40[t] -1.79356514524121sch10[t] -1.01435739522029sch01[t] + 2.01007861534444hak3[t] + 0.713529542819006hak5[t] -0.54747548089755hak0[t] + 0.761310656375766hak6[t] -2.0079014446148hak8[t] -0.414590420218529hak7[t] + 0.276162012898838hak4[t] -11.4926414770907type0[t] -12.9075622577859type1[t] -12.4684328779631type3[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
y[t] =  +  16.3086133303186 +  1.35805333634804c2[t] -1.40226669792777scha05[t] +  0.383645064616055sch06[t] +  1.35453813277825sch31[t] +  3.2147407094081sch00[t] +  0.861507003802852sch53[t] -1.30791392379503sch16[t] -0.0834565510358702sch41[t] +  0.492485936816628sch17[t] +  3.43057226320932sch40[t] -1.79356514524121sch10[t] -1.01435739522029sch01[t] +  2.01007861534444hak3[t] +  0.713529542819006hak5[t] -0.54747548089755hak0[t] +  0.761310656375766hak6[t] -2.0079014446148hak8[t] -0.414590420218529hak7[t] +  0.276162012898838hak4[t] -11.4926414770907type0[t] -12.9075622577859type1[t] -12.4684328779631type3[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203022&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]y[t] =  +  16.3086133303186 +  1.35805333634804c2[t] -1.40226669792777scha05[t] +  0.383645064616055sch06[t] +  1.35453813277825sch31[t] +  3.2147407094081sch00[t] +  0.861507003802852sch53[t] -1.30791392379503sch16[t] -0.0834565510358702sch41[t] +  0.492485936816628sch17[t] +  3.43057226320932sch40[t] -1.79356514524121sch10[t] -1.01435739522029sch01[t] +  2.01007861534444hak3[t] +  0.713529542819006hak5[t] -0.54747548089755hak0[t] +  0.761310656375766hak6[t] -2.0079014446148hak8[t] -0.414590420218529hak7[t] +  0.276162012898838hak4[t] -11.4926414770907type0[t] -12.9075622577859type1[t] -12.4684328779631type3[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203022&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203022&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Multiple Linear Regression - Estimated Regression Equation
y[t] = + 16.3086133303186 + 1.35805333634804c2[t] -1.40226669792777scha05[t] + 0.383645064616055sch06[t] + 1.35453813277825sch31[t] + 3.2147407094081sch00[t] + 0.861507003802852sch53[t] -1.30791392379503sch16[t] -0.0834565510358702sch41[t] + 0.492485936816628sch17[t] + 3.43057226320932sch40[t] -1.79356514524121sch10[t] -1.01435739522029sch01[t] + 2.01007861534444hak3[t] + 0.713529542819006hak5[t] -0.54747548089755hak0[t] + 0.761310656375766hak6[t] -2.0079014446148hak8[t] -0.414590420218529hak7[t] + 0.276162012898838hak4[t] -11.4926414770907type0[t] -12.9075622577859type1[t] -12.4684328779631type3[t] + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)16.30861333031861.5046910.838500
c21.358053336348040.693651.95780.0508070.025404
scha05-1.402266697927771.24348-1.12770.2599910.129996
sch060.3836450646160551.0127630.37880.704990.352495
sch311.354538132778251.1849861.14310.2535530.126776
sch003.21474070940810.9787073.28470.0010930.000546
sch530.8615070038028521.1603560.74250.4581650.229082
sch16-1.307913923795031.92429-0.67970.4970190.248509
sch41-0.08345655103587020.75354-0.11080.9118570.455929
sch170.4924859368166281.4544420.33860.7350480.367524
sch403.430572263209320.7519694.56216e-063e-06
sch10-1.793565145241211.0629-1.68740.0921480.046074
sch01-1.014357395220290.910951-1.11350.2660250.133012
hak32.010078615344440.9400922.13820.0329890.016494
hak50.7135295428190060.7028661.01520.3105170.155259
hak0-0.547475480897551.266441-0.43230.6657140.332857
hak60.7613106563757660.7915440.96180.3366140.168307
hak8-2.00790144461481.042528-1.9260.0546740.027337
hak7-0.4145904202185290.737168-0.56240.574090.287045
hak40.2761620128988380.8902440.31020.7565320.378266
type0-11.49264147709071.623758-7.077800
type1-12.90756225778591.598714-8.073700
type3-12.46843287796311.786641-6.978700

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Ordinary Least Squares \tabularnewline
Variable & Parameter & S.D. & T-STATH0: parameter = 0 & 2-tail p-value & 1-tail p-value \tabularnewline
(Intercept) & 16.3086133303186 & 1.50469 & 10.8385 & 0 & 0 \tabularnewline
c2 & 1.35805333634804 & 0.69365 & 1.9578 & 0.050807 & 0.025404 \tabularnewline
scha05 & -1.40226669792777 & 1.24348 & -1.1277 & 0.259991 & 0.129996 \tabularnewline
sch06 & 0.383645064616055 & 1.012763 & 0.3788 & 0.70499 & 0.352495 \tabularnewline
sch31 & 1.35453813277825 & 1.184986 & 1.1431 & 0.253553 & 0.126776 \tabularnewline
sch00 & 3.2147407094081 & 0.978707 & 3.2847 & 0.001093 & 0.000546 \tabularnewline
sch53 & 0.861507003802852 & 1.160356 & 0.7425 & 0.458165 & 0.229082 \tabularnewline
sch16 & -1.30791392379503 & 1.92429 & -0.6797 & 0.497019 & 0.248509 \tabularnewline
sch41 & -0.0834565510358702 & 0.75354 & -0.1108 & 0.911857 & 0.455929 \tabularnewline
sch17 & 0.492485936816628 & 1.454442 & 0.3386 & 0.735048 & 0.367524 \tabularnewline
sch40 & 3.43057226320932 & 0.751969 & 4.5621 & 6e-06 & 3e-06 \tabularnewline
sch10 & -1.79356514524121 & 1.0629 & -1.6874 & 0.092148 & 0.046074 \tabularnewline
sch01 & -1.01435739522029 & 0.910951 & -1.1135 & 0.266025 & 0.133012 \tabularnewline
hak3 & 2.01007861534444 & 0.940092 & 2.1382 & 0.032989 & 0.016494 \tabularnewline
hak5 & 0.713529542819006 & 0.702866 & 1.0152 & 0.310517 & 0.155259 \tabularnewline
hak0 & -0.54747548089755 & 1.266441 & -0.4323 & 0.665714 & 0.332857 \tabularnewline
hak6 & 0.761310656375766 & 0.791544 & 0.9618 & 0.336614 & 0.168307 \tabularnewline
hak8 & -2.0079014446148 & 1.042528 & -1.926 & 0.054674 & 0.027337 \tabularnewline
hak7 & -0.414590420218529 & 0.737168 & -0.5624 & 0.57409 & 0.287045 \tabularnewline
hak4 & 0.276162012898838 & 0.890244 & 0.3102 & 0.756532 & 0.378266 \tabularnewline
type0 & -11.4926414770907 & 1.623758 & -7.0778 & 0 & 0 \tabularnewline
type1 & -12.9075622577859 & 1.598714 & -8.0737 & 0 & 0 \tabularnewline
type3 & -12.4684328779631 & 1.786641 & -6.9787 & 0 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203022&T=2

[TABLE]
[ROW][C]Multiple Linear Regression - Ordinary Least Squares[/C][/ROW]
[ROW][C]Variable[/C][C]Parameter[/C][C]S.D.[/C][C]T-STATH0: parameter = 0[/C][C]2-tail p-value[/C][C]1-tail p-value[/C][/ROW]
[ROW][C](Intercept)[/C][C]16.3086133303186[/C][C]1.50469[/C][C]10.8385[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]c2[/C][C]1.35805333634804[/C][C]0.69365[/C][C]1.9578[/C][C]0.050807[/C][C]0.025404[/C][/ROW]
[ROW][C]scha05[/C][C]-1.40226669792777[/C][C]1.24348[/C][C]-1.1277[/C][C]0.259991[/C][C]0.129996[/C][/ROW]
[ROW][C]sch06[/C][C]0.383645064616055[/C][C]1.012763[/C][C]0.3788[/C][C]0.70499[/C][C]0.352495[/C][/ROW]
[ROW][C]sch31[/C][C]1.35453813277825[/C][C]1.184986[/C][C]1.1431[/C][C]0.253553[/C][C]0.126776[/C][/ROW]
[ROW][C]sch00[/C][C]3.2147407094081[/C][C]0.978707[/C][C]3.2847[/C][C]0.001093[/C][C]0.000546[/C][/ROW]
[ROW][C]sch53[/C][C]0.861507003802852[/C][C]1.160356[/C][C]0.7425[/C][C]0.458165[/C][C]0.229082[/C][/ROW]
[ROW][C]sch16[/C][C]-1.30791392379503[/C][C]1.92429[/C][C]-0.6797[/C][C]0.497019[/C][C]0.248509[/C][/ROW]
[ROW][C]sch41[/C][C]-0.0834565510358702[/C][C]0.75354[/C][C]-0.1108[/C][C]0.911857[/C][C]0.455929[/C][/ROW]
[ROW][C]sch17[/C][C]0.492485936816628[/C][C]1.454442[/C][C]0.3386[/C][C]0.735048[/C][C]0.367524[/C][/ROW]
[ROW][C]sch40[/C][C]3.43057226320932[/C][C]0.751969[/C][C]4.5621[/C][C]6e-06[/C][C]3e-06[/C][/ROW]
[ROW][C]sch10[/C][C]-1.79356514524121[/C][C]1.0629[/C][C]-1.6874[/C][C]0.092148[/C][C]0.046074[/C][/ROW]
[ROW][C]sch01[/C][C]-1.01435739522029[/C][C]0.910951[/C][C]-1.1135[/C][C]0.266025[/C][C]0.133012[/C][/ROW]
[ROW][C]hak3[/C][C]2.01007861534444[/C][C]0.940092[/C][C]2.1382[/C][C]0.032989[/C][C]0.016494[/C][/ROW]
[ROW][C]hak5[/C][C]0.713529542819006[/C][C]0.702866[/C][C]1.0152[/C][C]0.310517[/C][C]0.155259[/C][/ROW]
[ROW][C]hak0[/C][C]-0.54747548089755[/C][C]1.266441[/C][C]-0.4323[/C][C]0.665714[/C][C]0.332857[/C][/ROW]
[ROW][C]hak6[/C][C]0.761310656375766[/C][C]0.791544[/C][C]0.9618[/C][C]0.336614[/C][C]0.168307[/C][/ROW]
[ROW][C]hak8[/C][C]-2.0079014446148[/C][C]1.042528[/C][C]-1.926[/C][C]0.054674[/C][C]0.027337[/C][/ROW]
[ROW][C]hak7[/C][C]-0.414590420218529[/C][C]0.737168[/C][C]-0.5624[/C][C]0.57409[/C][C]0.287045[/C][/ROW]
[ROW][C]hak4[/C][C]0.276162012898838[/C][C]0.890244[/C][C]0.3102[/C][C]0.756532[/C][C]0.378266[/C][/ROW]
[ROW][C]type0[/C][C]-11.4926414770907[/C][C]1.623758[/C][C]-7.0778[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]type1[/C][C]-12.9075622577859[/C][C]1.598714[/C][C]-8.0737[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]type3[/C][C]-12.4684328779631[/C][C]1.786641[/C][C]-6.9787[/C][C]0[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203022&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203022&T=2

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)16.30861333031861.5046910.838500
c21.358053336348040.693651.95780.0508070.025404
scha05-1.402266697927771.24348-1.12770.2599910.129996
sch060.3836450646160551.0127630.37880.704990.352495
sch311.354538132778251.1849861.14310.2535530.126776
sch003.21474070940810.9787073.28470.0010930.000546
sch530.8615070038028521.1603560.74250.4581650.229082
sch16-1.307913923795031.92429-0.67970.4970190.248509
sch41-0.08345655103587020.75354-0.11080.9118570.455929
sch170.4924859368166281.4544420.33860.7350480.367524
sch403.430572263209320.7519694.56216e-063e-06
sch10-1.793565145241211.0629-1.68740.0921480.046074
sch01-1.014357395220290.910951-1.11350.2660250.133012
hak32.010078615344440.9400922.13820.0329890.016494
hak50.7135295428190060.7028661.01520.3105170.155259
hak0-0.547475480897551.266441-0.43230.6657140.332857
hak60.7613106563757660.7915440.96180.3366140.168307
hak8-2.00790144461481.042528-1.9260.0546740.027337
hak7-0.4145904202185290.737168-0.56240.574090.287045
hak40.2761620128988380.8902440.31020.7565320.378266
type0-11.49264147709071.623758-7.077800
type1-12.90756225778591.598714-8.073700
type3-12.46843287796311.786641-6.978700







Multiple Linear Regression - Regression Statistics
Multiple R0.522438678582935
R-squared0.272942172879483
Adjusted R-squared0.240823152404279
F-TEST (value)8.49783613700794
F-TEST (DF numerator)22
F-TEST (DF denominator)498
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation4.62550507790106
Sum Squared Residuals10654.8580183928

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.522438678582935 \tabularnewline
R-squared & 0.272942172879483 \tabularnewline
Adjusted R-squared & 0.240823152404279 \tabularnewline
F-TEST (value) & 8.49783613700794 \tabularnewline
F-TEST (DF numerator) & 22 \tabularnewline
F-TEST (DF denominator) & 498 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 4.62550507790106 \tabularnewline
Sum Squared Residuals & 10654.8580183928 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203022&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.522438678582935[/C][/ROW]
[ROW][C]R-squared[/C][C]0.272942172879483[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.240823152404279[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]8.49783613700794[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]22[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]498[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]4.62550507790106[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]10654.8580183928[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203022&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203022&T=3

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Multiple Linear Regression - Regression Statistics
Multiple R0.522438678582935
R-squared0.272942172879483
Adjusted R-squared0.240823152404279
F-TEST (value)8.49783613700794
F-TEST (DF numerator)22
F-TEST (DF denominator)498
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation4.62550507790106
Sum Squared Residuals10654.8580183928







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
186.781837106992541.21816289300746
296.781837106992612.21816289300739
388.56774886953642-0.567748869536419
458.12372115700343-3.12372115700343
5310.102295441803-7.10229544180304
645.13000337613318-1.13000337613318
725.13000337613318-3.13000337613318
812.96058244853532-1.96058244853532
932.960582448535310.0394175514646925
1062.960582448535323.03941755146468
1112.96058244853531-1.96058244853531
1255.1300033761332-0.130003376133195
1305.49382595856779-5.49382595856779
1411.74882245670488-0.748822456704877
1550.4300123098129824.56998769018702
1626.06976844642029-4.06976844642029
1753.342133481101151.65786651889885
1825.26285127095007-3.26285127095007
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439106.935335845951693.06466415404831
44075.023868732711321.97613126728868
441136.640330741545126.35966925845488
442166.640330741545139.35966925845487
44361.793713013392794.20628698660721
44474.732515302192022.26748469780798
44554.078905177872610.921094822127395
44698.032063371940640.967936628059357
447118.960073659256222.03992634074378
448118.242092865173182.75790713482682
449135.811693073352047.18830692664796
450137.271199797010995.72880020298901
45105.02386873271132-5.02386873271132
452126.640330741545125.35966925845488
453125.493825958567796.50617404143221
45425.44604484501103-3.44604484501103
45526.93533584595169-4.93533584595169
456126.833832267090825.16616773290918
45775.577282509603661.42271749039634
45814.31792488197349-3.31792488197349
45905.75482562900489-5.75482562900489
46065.446044845011030.553955154988973
461146.640330741545127.35966925845488
462106.935335845951693.06466415404831
463116.942673139291394.05732686070861
46444.07777647090644-0.0777764709064363
46584.078905177872613.92109482212739
466124.518034557695457.48196544230455
46709.00785477281298-9.00785477281298
468105.811693073352044.18830692664796
469149.538641937698624.46135806230138
470126.833832267090825.16616773290918
47114.81597185322789-3.81597185322789
47208.744242105455-8.744242105455
47395.52950139604693.4704986039531
474121.7937130133927910.2062869866072
47598.242092865173180.757907134826817
47668.96007365925622-2.96007365925622
477126.833832267090825.16616773290918
478176.9353358459516910.0646641540483
479107.271199797010992.72880020298901
480128.242092865173183.75790713482682
481196.6403307415451312.3596692584549
482125.584619802943366.41538019705664
483118.246544116437212.75345588356279
48498.7442421054550.255757894545003
48554.162361728908470.837638271091527
486126.450187202474765.54981279752524
48756.83383226709082-1.83383226709082
48858.24209286517318-3.24209286517318
489108.7442421054551.255757894545
49095.435829807254473.56417019274553
491910.0407911779804-1.04079117798043
492144.515144000826619.48485599917339
493228.9600736592562213.0399263407438
494178.7442421054558.255757894545
495136.935335845951696.06466415404831
49684.518034557695453.48196544230455
49704.07890517787261-4.07890517787261
498125.008677315090866.99132268490914
49905.43582980725447-5.43582980725447
50038.68737466110785-5.68737466110785
50148.24209286517318-4.24209286517318
502108.242092865173181.75790713482682
503108.242092865173181.75790713482682
504129.007854772812982.99214522718702
505148.242092865173185.75790713482682
506146.640330741545127.35966925845488
50755.44604484501103-0.446044845011027
508155.913146460662959.08685353933705
50976.833832267090820.166167732909179
510155.873197337174649.12680266282536
511156.887554732394938.11244526760507
512115.008677315090865.99132268490914
51323.02240670798668-1.02240670798668
51413.02240670798668-2.02240670798668
51553.022406707986681.97759329201332
51653.022406707986681.97759329201332
51741.748822456704882.25117754329512
51871.748822456704885.25117754329512
51951.748822456704883.25117754329512
52041.748822456704882.25117754329512
52123.02240670798668-1.02240670798668

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 8 & 6.78183710699254 & 1.21816289300746 \tabularnewline
2 & 9 & 6.78183710699261 & 2.21816289300739 \tabularnewline
3 & 8 & 8.56774886953642 & -0.567748869536419 \tabularnewline
4 & 5 & 8.12372115700343 & -3.12372115700343 \tabularnewline
5 & 3 & 10.102295441803 & -7.10229544180304 \tabularnewline
6 & 4 & 5.13000337613318 & -1.13000337613318 \tabularnewline
7 & 2 & 5.13000337613318 & -3.13000337613318 \tabularnewline
8 & 1 & 2.96058244853532 & -1.96058244853532 \tabularnewline
9 & 3 & 2.96058244853531 & 0.0394175514646925 \tabularnewline
10 & 6 & 2.96058244853532 & 3.03941755146468 \tabularnewline
11 & 1 & 2.96058244853531 & -1.96058244853531 \tabularnewline
12 & 5 & 5.1300033761332 & -0.130003376133195 \tabularnewline
13 & 0 & 5.49382595856779 & -5.49382595856779 \tabularnewline
14 & 1 & 1.74882245670488 & -0.748822456704877 \tabularnewline
15 & 5 & 0.430012309812982 & 4.56998769018702 \tabularnewline
16 & 2 & 6.06976844642029 & -4.06976844642029 \tabularnewline
17 & 5 & 3.34213348110115 & 1.65786651889885 \tabularnewline
18 & 2 & 5.26285127095007 & -3.26285127095007 \tabularnewline
19 & 2 & 6.85616229534635 & -4.85616229534635 \tabularnewline
20 & 0 & 0.0387138624995411 & -0.0387138624995411 \tabularnewline
21 & 3 & 3.34213348110116 & -0.34213348110116 \tabularnewline
22 & 2 & 9.00785477281299 & -7.00785477281299 \tabularnewline
23 & 2 & 6.06976844642029 & -4.06976844642029 \tabularnewline
24 & 2 & 5.49382595856779 & -3.49382595856779 \tabularnewline
25 & 2 & 5.57728250960366 & -3.57728250960366 \tabularnewline
26 & 3 & 6.85616229534635 & -3.85616229534635 \tabularnewline
27 & 2 & 5.26285127095007 & -3.26285127095007 \tabularnewline
28 & 0 & 4.31792488197349 & -4.31792488197349 \tabularnewline
29 & 1 & 1.74882245670488 & -0.748822456704877 \tabularnewline
30 & 7 & 5.047920504547 & 1.952079495453 \tabularnewline
31 & 3 & 4.65662205723356 & -1.65662205723356 \tabularnewline
32 & 2 & 4.65662205723356 & -2.65662205723356 \tabularnewline
33 & 4 & 4.77175849164816 & -0.771758491648159 \tabularnewline
34 & 2 & 5.047920504547 & -3.047920504547 \tabularnewline
35 & 4 & 5.047920504547 & -1.047920504547 \tabularnewline
36 & 0 & 5.43582980725447 & -5.43582980725447 \tabularnewline
37 & 0 & 5.15966779435563 & -5.15966779435563 \tabularnewline
38 & 2 & 5.43582980725447 & -3.43582980725447 \tabularnewline
39 & 3 & 5.43582980725447 & -2.43582980725447 \tabularnewline
40 & 3 & 5.15966779435563 & -2.15966779435563 \tabularnewline
41 & 14 & 4.26255807633556 & 9.73744192366444 \tabularnewline
42 & 13 & 4.26255807633556 & 8.73744192366444 \tabularnewline
43 & 2 & 3.71508259543801 & -1.71508259543801 \tabularnewline
44 & 5 & 3.78469613714876 & 1.21530386285124 \tabularnewline
45 & 2 & 3.71508259543801 & -1.71508259543801 \tabularnewline
46 & 5 & 3.23722065625121 & 1.76277934374879 \tabularnewline
47 & 2 & 3.23722065625121 & -1.23722065625121 \tabularnewline
48 & 3 & 3.71508259543801 & -0.715082595438009 \tabularnewline
49 & 2 & 5.26285127095007 & -3.26285127095007 \tabularnewline
50 & 2 & 5.26285127095007 & -3.26285127095007 \tabularnewline
51 & 4 & 5.26285127095007 & -1.26285127095007 \tabularnewline
52 & 9 & 1.74882245670488 & 7.25117754329512 \tabularnewline
53 & 3 & 7.83195369621869 & -4.83195369621869 \tabularnewline
54 & 3 & 5.26285127095007 & -2.26285127095007 \tabularnewline
55 & 8 & 7.83195369621869 & 0.168046303781315 \tabularnewline
56 & 10 & 9.00785477281298 & 0.992145227187018 \tabularnewline
57 & 9 & 5.49382595856779 & 3.50617404143221 \tabularnewline
58 & 6 & 4.73251530219202 & 1.26748469780798 \tabularnewline
59 & 1 & 1.74882245670488 & -0.748822456704877 \tabularnewline
60 & 3 & 5.44604484501103 & -2.44604484501103 \tabularnewline
61 & 2 & 5.26285127095007 & -3.26285127095007 \tabularnewline
62 & 0 & 2.72461385757722 & -2.72461385757722 \tabularnewline
63 & 3 & 8.96007365925622 & -5.96007365925622 \tabularnewline
64 & 2 & 6.23864267182241 & -4.23864267182241 \tabularnewline
65 & 0 & 4.31792488197349 & -4.31792488197349 \tabularnewline
66 & 9 & 5.44604484501103 & 3.55395515498897 \tabularnewline
67 & 4 & 3.34213348110115 & 0.657866518898848 \tabularnewline
68 & 7 & 5.44604484501103 & 1.55395515498897 \tabularnewline
69 & 1 & 2.72461385757722 & -1.72461385757722 \tabularnewline
70 & 0 & 6.23864267182241 & -6.23864267182241 \tabularnewline
71 & 2 & 4.73251530219202 & -2.73251530219202 \tabularnewline
72 & 3 & 1.74882245670488 & 1.25117754329512 \tabularnewline
73 & 1 & 4.31792488197349 & -3.31792488197349 \tabularnewline
74 & 5 & 7.97384511828884 & -2.97384511828884 \tabularnewline
75 & 1 & 5.48528803446717 & -4.48528803446717 \tabularnewline
76 & 8 & 2.96553926363953 & 5.03446073636047 \tabularnewline
77 & 4 & 9.53864193769862 & -5.53864193769862 \tabularnewline
78 & 4 & 8.12372115700343 & -4.12372115700343 \tabularnewline
79 & 8 & 5.36691632629742 & 2.63308367370258 \tabularnewline
80 & 9 & 8.24209286517318 & 0.757907134826817 \tabularnewline
81 & 10 & 5.43582980725447 & 4.56417019274553 \tabularnewline
82 & 36 & 11.3988445143285 & 24.6011554856715 \tabularnewline
83 & 10 & 7.38004066921156 & 2.61995933078844 \tabularnewline
84 & 6 & 6.45018720247476 & -0.450187202474764 \tabularnewline
85 & 1 & 6.76918302422518 & -5.76918302422518 \tabularnewline
86 & 2 & 5.43582980725447 & -3.43582980725447 \tabularnewline
87 & 6 & 9.66492791188287 & -3.66492791188287 \tabularnewline
88 & 8 & 6.76918302422518 & 1.23081697577482 \tabularnewline
89 & 9 & 6.11364254165899 & 2.88635745834101 \tabularnewline
90 & 9 & 5.36691632629742 & 3.63308367370258 \tabularnewline
91 & 2 & 4.75910440888074 & -2.75910440888074 \tabularnewline
92 & 1 & 10.102295441803 & -9.10229544180303 \tabularnewline
93 & 8 & 4.97561787898397 & 3.02438212101603 \tabularnewline
94 & 6 & 10.102295441803 & -4.10229544180303 \tabularnewline
95 & 7 & 3.74474701366045 & 3.25525298633955 \tabularnewline
96 & 6 & 10.102295441803 & -4.10229544180303 \tabularnewline
97 & 5 & 6.45018720247476 & -1.45018720247476 \tabularnewline
98 & 1 & 8.28987397872994 & -7.28987397872994 \tabularnewline
99 & 3 & 7.27119979701099 & -4.27119979701099 \tabularnewline
100 & 8 & 2.96553926363953 & 5.03446073636047 \tabularnewline
101 & 3 & 5.43582980725447 & -2.43582980725447 \tabularnewline
102 & 4 & 11.3988445143285 & -7.39884451432847 \tabularnewline
103 & 10 & 8.28987397872994 & 1.71012602127006 \tabularnewline
104 & 7 & 6.83383226709082 & 0.166167732909179 \tabularnewline
105 & 5 & 4.97561787898397 & 0.0243821210160269 \tabularnewline
106 & 4 & 7.97384511828884 & -3.97384511828884 \tabularnewline
107 & 4 & 5.36691632629742 & -1.36691632629742 \tabularnewline
108 & 5 & 11.3988445143285 & -6.39884451432847 \tabularnewline
109 & 7 & 4.75910440888074 & 2.24089559111926 \tabularnewline
110 & 2 & 6.39053865967916 & -4.39053865967916 \tabularnewline
111 & 9 & 6.76918302422518 & 2.23081697577482 \tabularnewline
112 & 4 & 7.27119979701099 & -3.27119979701099 \tabularnewline
113 & 9 & 6.11364254165899 & 2.88635745834101 \tabularnewline
114 & 6 & 4.8974059363023 & 1.1025940636977 \tabularnewline
115 & 8 & 5.44604484501103 & 2.55395515498897 \tabularnewline
116 & 2 & 4.73251530219202 & -2.73251530219202 \tabularnewline
117 & 1 & 5.44604484501103 & -4.44604484501103 \tabularnewline
118 & 3 & 3.02240670798668 & -0.0224067079866818 \tabularnewline
119 & 4 & 3.02240670798668 & 0.977593292013317 \tabularnewline
120 & 3 & 3.02240670798668 & -0.0224067079866818 \tabularnewline
121 & 3 & 5.44604484501103 & -2.44604484501103 \tabularnewline
122 & 2 & 3.41370515530012 & -1.41370515530012 \tabularnewline
123 & 2 & 3.02240670798668 & -1.02240670798668 \tabularnewline
124 & 4 & 3.02240670798668 & 0.977593292013317 \tabularnewline
125 & 2 & 4.31792488197349 & -2.31792488197349 \tabularnewline
126 & 3 & 3.02240670798668 & -0.0224067079866818 \tabularnewline
127 & 3 & 4.31792488197349 & -1.31792488197349 \tabularnewline
128 & 3 & 4.81597185322789 & -1.81597185322789 \tabularnewline
129 & 3 & 4.81597185322789 & -1.81597185322789 \tabularnewline
130 & 6 & 5.047920504547 & 0.952079495453002 \tabularnewline
131 & 7 & 5.41891148639564 & 1.58108851360436 \tabularnewline
132 & 6 & 5.41891148639563 & 0.581088513604365 \tabularnewline
133 & 9 & 5.87319733717464 & 3.12680266282536 \tabularnewline
134 & 0 & 6.88755473239494 & -6.88755473239494 \tabularnewline
135 & 1 & 7.80472533525302 & -6.80472533525302 \tabularnewline
136 & 8 & 5.87319733717464 & 2.12680266282536 \tabularnewline
137 & 9 & 6.88755473239493 & 2.11244526760507 \tabularnewline
138 & 6 & 10.102295441803 & -4.10229544180303 \tabularnewline
139 & 11 & 8.25000713118768 & 2.74999286881232 \tabularnewline
140 & 3 & 6.83383226709082 & -3.83383226709082 \tabularnewline
141 & 6 & 7.80472533525302 & -1.80472533525302 \tabularnewline
142 & 6 & 6.89195379483964 & -0.891953794839645 \tabularnewline
143 & 8 & 6.83383226709082 & 1.16616773290918 \tabularnewline
144 & 12 & 5.5295013960469 & 6.4704986039531 \tabularnewline
145 & 1 & 8.96007365925622 & -7.96007365925622 \tabularnewline
146 & 9 & 5.44604484501103 & 3.55395515498897 \tabularnewline
147 & 10 & 5.047920504547 & 4.952079495453 \tabularnewline
148 & 5 & 4.65662205723356 & 0.343377942766443 \tabularnewline
149 & 3 & 6.88755473239493 & -3.88755473239493 \tabularnewline
150 & 5 & 6.06976844642028 & -1.06976844642028 \tabularnewline
151 & 11 & 10.102295441803 & 0.897704558196968 \tabularnewline
152 & 7 & 5.44604484501103 & 1.55395515498897 \tabularnewline
153 & 9 & 5.49382595856779 & 3.50617404143221 \tabularnewline
154 & 21 & 6.74259391753646 & 14.2574060824635 \tabularnewline
155 & 12 & 6.74259391753646 & 5.25740608246354 \tabularnewline
156 & 3 & 3.75672390131968 & -0.756723901319679 \tabularnewline
157 & 5 & 3.84796765611703 & 1.15203234388297 \tabularnewline
158 & 11 & 3.84796765611703 & 7.15203234388297 \tabularnewline
159 & 4 & 3.84796765611703 & 0.152032343882971 \tabularnewline
160 & 11 & 8.24654411643721 & 2.75345588356279 \tabularnewline
161 & 18 & 8.24654411643722 & 9.75345588356278 \tabularnewline
162 & 6 & 8.96007365925622 & -2.96007365925622 \tabularnewline
163 & 8 & 8.96007365925622 & -0.960073659256221 \tabularnewline
164 & 8 & 7.83195369621869 & 0.168046303781315 \tabularnewline
165 & 12 & 8.96007365925622 & 3.03992634074378 \tabularnewline
166 & 5 & 8.24654411643721 & -3.24654411643721 \tabularnewline
167 & 2 & 8.24654411643721 & -6.24654411643721 \tabularnewline
168 & 3 & 7.83195369621869 & -4.83195369621869 \tabularnewline
169 & 11 & 7.83195369621869 & 3.16804630378131 \tabularnewline
170 & 26 & 8.96007365925621 & 17.0399263407438 \tabularnewline
171 & 2 & 8.24654411643721 & -6.24654411643721 \tabularnewline
172 & 2 & 5.57728250960366 & -3.57728250960366 \tabularnewline
173 & 8 & 5.30845779004452 & 2.69154220995548 \tabularnewline
174 & 15 & 7.83195369621869 & 7.16804630378131 \tabularnewline
175 & 18 & 7.83195369621869 & 10.1680463037813 \tabularnewline
176 & 10 & 4.40138143300936 & 5.59861856699064 \tabularnewline
177 & 2 & 8.96007365925622 & -6.96007365925622 \tabularnewline
178 & 6 & 7.83195369621869 & -1.83195369621869 \tabularnewline
179 & 7 & 8.24654411643722 & -1.24654411643722 \tabularnewline
180 & 16 & 8.24654411643722 & 7.75345588356278 \tabularnewline
181 & 23 & 8.24654411643721 & 14.7534558835628 \tabularnewline
182 & 2 & 4.40138143300936 & -2.40138143300936 \tabularnewline
183 & 1 & 8.24654411643721 & -7.24654411643721 \tabularnewline
184 & 7 & 7.83195369621869 & -0.831953696218686 \tabularnewline
185 & 10 & 8.24654411643721 & 1.75345588356279 \tabularnewline
186 & 13 & 8.24654411643721 & 4.75345588356279 \tabularnewline
187 & 11 & 8.96007365925622 & 2.03992634074378 \tabularnewline
188 & 7 & 6.74259391753646 & 0.257406082463538 \tabularnewline
189 & 19 & 7.83195369621869 & 11.1680463037813 \tabularnewline
190 & 4 & 4.40138143300936 & -0.40138143300936 \tabularnewline
191 & 5 & 8.24654411643721 & -3.24654411643721 \tabularnewline
192 & 24 & 8.96007365925622 & 15.0399263407438 \tabularnewline
193 & 10 & 5.44604484501103 & 4.55395515498897 \tabularnewline
194 & 13 & 8.24654411643721 & 4.75345588356279 \tabularnewline
195 & 10 & 7.83195369621869 & 2.16804630378131 \tabularnewline
196 & 11 & 8.96007365925622 & 2.03992634074378 \tabularnewline
197 & 14 & 4.40138143300937 & 9.59861856699063 \tabularnewline
198 & 7 & 7.83195369621869 & -0.831953696218686 \tabularnewline
199 & 12 & 8.24654411643722 & 3.75345588356278 \tabularnewline
200 & 8 & 6.74259391753646 & 1.25740608246354 \tabularnewline
201 & 6 & 5.44604484501103 & 0.553955154988973 \tabularnewline
202 & 1 & 8.24654411643721 & -7.24654411643721 \tabularnewline
203 & 6 & 8.24654411643722 & -2.24654411643722 \tabularnewline
204 & 8 & 8.96007365925622 & -0.960073659256221 \tabularnewline
205 & 6 & 8.24654411643722 & -2.24654411643722 \tabularnewline
206 & 2 & 4.40138143300936 & -2.40138143300936 \tabularnewline
207 & 20 & 8.96007365925623 & 11.0399263407438 \tabularnewline
208 & 13 & 8.24654411643721 & 4.75345588356279 \tabularnewline
209 & 18 & 8.24654411643722 & 9.75345588356278 \tabularnewline
210 & 3 & 8.24654411643721 & -5.24654411643721 \tabularnewline
211 & 15 & 8.24654411643722 & 6.75345588356278 \tabularnewline
212 & 4 & 5.57728250960366 & -1.57728250960366 \tabularnewline
213 & 6 & 8.96007365925622 & -2.96007365925622 \tabularnewline
214 & 11 & 7.83195369621869 & 3.16804630378131 \tabularnewline
215 & 4 & 5.57728250960366 & -1.57728250960366 \tabularnewline
216 & 24 & 8.24654411643721 & 15.7534558835628 \tabularnewline
217 & 7 & 8.96007365925622 & -1.96007365925622 \tabularnewline
218 & 14 & 8.24654411643722 & 5.75345588356278 \tabularnewline
219 & 16 & 8.24654411643722 & 7.75345588356278 \tabularnewline
220 & 9 & 8.24654411643721 & 0.753455883562786 \tabularnewline
221 & 1 & 5.30845779004452 & -4.30845779004452 \tabularnewline
222 & 2 & 5.30845779004452 & -3.30845779004452 \tabularnewline
223 & 0 & 3.40105107253271 & -3.40105107253271 \tabularnewline
224 & 0 & 3.40105107253271 & -3.40105107253271 \tabularnewline
225 & 0 & 3.41370515530012 & -3.41370515530012 \tabularnewline
226 & 0 & 6.74259391753646 & -6.74259391753646 \tabularnewline
227 & 1 & 3.41370515530012 & -2.41370515530012 \tabularnewline
228 & 5 & 4.11458061535171 & 0.885419384648287 \tabularnewline
229 & 0 & 3.40105107253271 & -3.40105107253271 \tabularnewline
230 & 2 & 6.74259391753646 & -4.74259391753646 \tabularnewline
231 & 3 & 5.30845779004452 & -2.30845779004452 \tabularnewline
232 & 4 & 4.11458061535171 & -0.114580615351713 \tabularnewline
233 & 1 & 3.40105107253271 & -2.40105107253271 \tabularnewline
234 & 10 & 4.11458061535171 & 5.88541938464829 \tabularnewline
235 & 1 & 3.40105107253271 & -2.40105107253271 \tabularnewline
236 & 0 & 3.40105107253271 & -3.40105107253271 \tabularnewline
237 & 0 & 6.74259391753646 & -6.74259391753646 \tabularnewline
238 & 0 & 3.68986716819896 & -3.68986716819896 \tabularnewline
239 & 0 & 2.53226652856053 & -2.53226652856053 \tabularnewline
240 & 3 & 5.09213386612673 & -2.09213386612673 \tabularnewline
241 & 1 & 5.47577893074278 & -4.47577893074278 \tabularnewline
242 & 5 & 1.74882245670488 & 3.25117754329512 \tabularnewline
243 & 1 & 5.47577893074278 & -4.47577893074278 \tabularnewline
244 & 4 & 5.04701971714885 & -1.04701971714885 \tabularnewline
245 & 1 & 2.53226652856053 & -1.53226652856053 \tabularnewline
246 & 4 & 5.04701971714885 & -1.04701971714885 \tabularnewline
247 & 3 & 3.40105107253271 & -0.401051072532708 \tabularnewline
248 & 25 & 17.6666666666667 & 7.33333333333334 \tabularnewline
249 & 10 & 17.6666666666667 & -7.66666666666667 \tabularnewline
250 & 19 & 17.6666666666667 & 1.33333333333333 \tabularnewline
251 & 16 & 17.6666666666667 & -1.66666666666667 \tabularnewline
252 & 14 & 17.6666666666667 & -3.66666666666666 \tabularnewline
253 & 10 & 17.6666666666667 & -7.66666666666667 \tabularnewline
254 & 12 & 17.6666666666667 & -5.66666666666667 \tabularnewline
255 & 20 & 17.6666666666667 & 2.33333333333333 \tabularnewline
256 & 22 & 17.6666666666667 & 4.33333333333334 \tabularnewline
257 & 13 & 17.6666666666667 & -4.66666666666666 \tabularnewline
258 & 17 & 17.6666666666667 & -0.666666666666667 \tabularnewline
259 & 34 & 17.6666666666667 & 16.3333333333333 \tabularnewline
260 & 13 & 4.26849637233034 & 8.73150362766966 \tabularnewline
261 & 5 & 4.26849637233034 & 0.731503627669658 \tabularnewline
262 & 6 & 4.26849637233034 & 1.73150362766966 \tabularnewline
263 & 1 & 4.26849637233034 & -3.26849637233034 \tabularnewline
264 & 8 & 7.83195369621869 & 0.168046303781315 \tabularnewline
265 & 4 & 5.09213386612673 & -1.09213386612673 \tabularnewline
266 & 5 & 4.5151440008266 & 0.484855999173397 \tabularnewline
267 & 8 & 4.31792488197349 & 3.68207511802651 \tabularnewline
268 & 6 & 4.5151440008266 & 1.4848559991734 \tabularnewline
269 & 8 & 8.24654411643721 & -0.246544116437214 \tabularnewline
270 & 2 & 6.85616229534635 & -4.85616229534635 \tabularnewline
271 & 0 & 6.85616229534635 & -6.85616229534635 \tabularnewline
272 & 1 & 3.42559003213702 & -2.42559003213702 \tabularnewline
273 & 10 & 5.96092757421971 & 4.03907242578029 \tabularnewline
274 & 0 & 5.96092757421971 & -5.96092757421971 \tabularnewline
275 & 1 & 4.31792488197349 & -3.31792488197349 \tabularnewline
276 & 8 & 3.38702403778907 & 4.61297596221093 \tabularnewline
277 & 7 & 5.96092757421971 & 1.03907242578029 \tabularnewline
278 & 8 & 5.00867731509086 & 2.99132268490914 \tabularnewline
279 & 4 & 4.51803455769545 & -0.51803455769545 \tabularnewline
280 & 1 & 3.73593625080569 & -2.73593625080569 \tabularnewline
281 & 9 & 7.81623181813942 & 1.18376818186058 \tabularnewline
282 & 8 & 4.5151440008266 & 3.4848559991734 \tabularnewline
283 & 3 & 8.96007365925622 & -5.96007365925622 \tabularnewline
284 & 5 & 8.96007365925622 & -3.96007365925622 \tabularnewline
285 & 0 & 7.83195369621869 & -7.83195369621869 \tabularnewline
286 & 1 & 3.75672390131968 & -2.75672390131968 \tabularnewline
287 & 1 & 7.83195369621869 & -6.83195369621869 \tabularnewline
288 & 3 & 2.60781628776815 & 0.392183712231849 \tabularnewline
289 & 5 & 7.83195369621869 & -2.83195369621869 \tabularnewline
290 & 7 & 7.83195369621869 & -0.831953696218686 \tabularnewline
291 & 1 & 7.83195369621869 & -6.83195369621869 \tabularnewline
292 & 2 & 7.83195369621869 & -5.83195369621869 \tabularnewline
293 & 13 & 8.96007365925622 & 4.03992634074378 \tabularnewline
294 & 4 & 8.96007365925622 & -4.96007365925622 \tabularnewline
295 & 0 & 3.38702403778907 & -3.38702403778907 \tabularnewline
296 & 4 & 3.38702403778907 & 0.612975962210932 \tabularnewline
297 & 1 & 3.38702403778907 & -2.38702403778907 \tabularnewline
298 & 4 & 5.81169307335204 & -1.81169307335204 \tabularnewline
299 & 0 & 3.38702403778907 & -3.38702403778907 \tabularnewline
300 & 0 & 5.81169307335204 & -5.81169307335204 \tabularnewline
301 & 1 & 3.38702403778907 & -2.38702403778907 \tabularnewline
302 & 2 & 3.38702403778907 & -1.38702403778907 \tabularnewline
303 & 0 & 3.38702403778907 & -3.38702403778907 \tabularnewline
304 & 2 & 3.38702403778907 & -1.38702403778907 \tabularnewline
305 & 0 & 1.74882245670488 & -1.74882245670488 \tabularnewline
306 & 6 & 3.34213348110115 & 2.65786651889885 \tabularnewline
307 & 4 & 5.04701971714885 & -1.04701971714885 \tabularnewline
308 & 7 & 3.80923509675308 & 3.19076490324692 \tabularnewline
309 & 6 & 5.04701971714885 & 0.952980282851152 \tabularnewline
310 & 1 & 1.74882245670488 & -0.748822456704877 \tabularnewline
311 & 0 & 3.34213348110115 & -3.34213348110115 \tabularnewline
312 & 6 & 2.32476494455738 & 3.67523505544262 \tabularnewline
313 & 3 & 5.04701971714885 & -2.04701971714885 \tabularnewline
314 & 2 & 5.04701971714885 & -3.04701971714885 \tabularnewline
315 & 2 & 5.04701971714885 & -3.04701971714885 \tabularnewline
316 & 2 & 2.32476494455738 & -0.324764944557376 \tabularnewline
317 & 0 & 3.80923509675308 & -3.80923509675308 \tabularnewline
318 & 0 & 3.40105107253271 & -3.40105107253271 \tabularnewline
319 & 4 & 3.40105107253271 & 0.59894892746729 \tabularnewline
320 & 0 & 4.40138143300936 & -4.40138143300936 \tabularnewline
321 & 3 & 3.40105107253271 & -0.401051072532708 \tabularnewline
322 & 0 & 4.81597185322789 & -4.81597185322789 \tabularnewline
323 & 1 & 4.73251530219202 & -3.73251530219202 \tabularnewline
324 & 1 & 3.40105107253271 & -2.40105107253271 \tabularnewline
325 & 2 & 3.40105107253271 & -1.40105107253271 \tabularnewline
326 & 7 & 3.40105107253271 & 3.59894892746729 \tabularnewline
327 & 3 & 3.40105107253271 & -0.401051072532708 \tabularnewline
328 & 0 & 3.40105107253271 & -3.40105107253271 \tabularnewline
329 & 2 & 3.34213348110115 & -1.34213348110115 \tabularnewline
330 & 1 & 1.74882245670488 & -0.748822456704877 \tabularnewline
331 & 2 & 1.74882245670488 & 0.251177543295122 \tabularnewline
332 & 5 & 3.42559003213702 & 1.57440996786298 \tabularnewline
333 & 6 & 8.03206337194064 & -2.03206337194064 \tabularnewline
334 & 4 & 4.51803455769545 & -0.51803455769545 \tabularnewline
335 & 1 & 3.34213348110115 & -2.34213348110115 \tabularnewline
336 & 3 & 4.51803455769545 & -1.51803455769545 \tabularnewline
337 & 0 & 3.40105107253271 & -3.40105107253271 \tabularnewline
338 & 2 & 5.49382595856779 & -3.49382595856779 \tabularnewline
339 & 4 & 5.41112968787715 & -1.41112968787715 \tabularnewline
340 & 2 & 7.83195369621869 & -5.83195369621869 \tabularnewline
341 & 2 & 8.24654411643721 & -6.24654411643721 \tabularnewline
342 & 4 & 4.11458061535171 & -0.114580615351713 \tabularnewline
343 & 1 & 1.74882245670488 & -0.748822456704877 \tabularnewline
344 & 1 & 0.0387138624995398 & 0.96128613750046 \tabularnewline
345 & 3 & 3.40105107253271 & -0.401051072532708 \tabularnewline
346 & 12 & 3.40105107253271 & 8.59894892746729 \tabularnewline
347 & 1 & 3.40105107253271 & -2.40105107253271 \tabularnewline
348 & 7 & 4.26255807633556 & 2.73744192366444 \tabularnewline
349 & 2 & 4.5387200892344 & -2.5387200892344 \tabularnewline
350 & 0 & 3.40105107253271 & -3.40105107253271 \tabularnewline
351 & 0 & 4.97608761915456 & -4.97608761915456 \tabularnewline
352 & 4 & 0.430012309812978 & 3.56998769018702 \tabularnewline
353 & 4 & 2.98646065231418 & 1.01353934768582 \tabularnewline
354 & 3 & 1.74882245670488 & 1.25117754329512 \tabularnewline
355 & 6 & 3.40105107253271 & 2.59894892746729 \tabularnewline
356 & 0 & 1.74882245670488 & -1.74882245670488 \tabularnewline
357 & 5 & 4.5387200892344 & 0.461279910765603 \tabularnewline
358 & 0 & 3.40105107253271 & -3.40105107253271 \tabularnewline
359 & 3 & 2.98646065231418 & 0.0135393476858198 \tabularnewline
360 & 7 & 2.09313714873768 & 4.90686285126232 \tabularnewline
361 & 10 & 2.90300410127831 & 7.09699589872169 \tabularnewline
362 & 6 & 2.90300410127831 & 3.09699589872169 \tabularnewline
363 & 6 & 3.02240670798668 & 2.97759329201332 \tabularnewline
364 & 1 & 3.02240670798668 & -2.02240670798668 \tabularnewline
365 & 2 & 4.26849637233034 & -2.26849637233034 \tabularnewline
366 & 9 & 4.26849637233034 & 4.73150362766966 \tabularnewline
367 & 0 & 3.02240670798668 & -3.02240670798668 \tabularnewline
368 & 5 & 4.26849637233034 & 0.731503627669658 \tabularnewline
369 & 1 & 3.02240670798668 & -2.02240670798668 \tabularnewline
370 & 2 & 3.84796765611703 & -1.84796765611703 \tabularnewline
371 & 1 & 4.5387200892344 & -3.5387200892344 \tabularnewline
372 & 2 & 3.84796765611703 & -1.84796765611703 \tabularnewline
373 & 4 & 3.84796765611703 & 0.152032343882971 \tabularnewline
374 & 2 & 3.84796765611703 & -1.84796765611703 \tabularnewline
375 & 8 & 4.5387200892344 & 3.4612799107656 \tabularnewline
376 & 4 & 4.5387200892344 & -0.538720089234397 \tabularnewline
377 & 11 & 6.88755473239493 & 4.11244526760507 \tabularnewline
378 & 12 & 9.00785477281298 & 2.99214522718702 \tabularnewline
379 & 10 & 5.57728250960366 & 4.42271749039634 \tabularnewline
380 & 11 & 5.57728250960366 & 5.42271749039634 \tabularnewline
381 & 5 & 5.57728250960366 & -0.577282509603656 \tabularnewline
382 & 8 & 7.52856332235418 & 0.471436677645823 \tabularnewline
383 & 8 & 7.52856332235418 & 0.471436677645823 \tabularnewline
384 & 10 & 6.17402518957592 & 3.82597481042408 \tabularnewline
385 & 4 & 6.17402518957592 & -2.17402518957592 \tabularnewline
386 & 3 & 5.49382595856779 & -2.49382595856779 \tabularnewline
387 & 10 & 8.24209286517318 & 1.75790713482682 \tabularnewline
388 & 9 & 6.88755473239493 & 2.11244526760507 \tabularnewline
389 & 11 & 5.57728250960366 & 5.42271749039634 \tabularnewline
390 & 9 & 5.57728250960366 & 3.42271749039634 \tabularnewline
391 & 5 & 5.57728250960366 & -0.577282509603656 \tabularnewline
392 & 8 & 5.49382595856779 & 2.50617404143221 \tabularnewline
393 & 10 & 5.57728250960366 & 4.42271749039634 \tabularnewline
394 & 5 & 7.27119979701099 & -2.27119979701099 \tabularnewline
395 & 8 & 7.27119979701099 & 0.728800202989012 \tabularnewline
396 & 10 & 8.24209286517318 & 1.75790713482682 \tabularnewline
397 & 7 & 5.49382595856779 & 1.50617404143221 \tabularnewline
398 & 2 & 4.73251530219202 & -2.73251530219202 \tabularnewline
399 & 7 & 4.73251530219202 & 2.26748469780798 \tabularnewline
400 & 2 & 5.44604484501103 & -3.44604484501103 \tabularnewline
401 & 5 & 4.73251530219202 & 0.26748469780798 \tabularnewline
402 & 5 & 4.73251530219202 & 0.26748469780798 \tabularnewline
403 & 4 & 4.60149110873132 & -0.601491108731316 \tabularnewline
404 & 2 & 5.5295013960469 & -3.5295013960469 \tabularnewline
405 & 1 & 5.5295013960469 & -4.5295013960469 \tabularnewline
406 & 3 & 4.60149110873131 & -1.60149110873131 \tabularnewline
407 & 5 & 8.03206337194064 & -3.03206337194064 \tabularnewline
408 & 2 & 8.03206337194064 & -6.03206337194064 \tabularnewline
409 & 9 & 8.03206337194064 & 0.967936628059357 \tabularnewline
410 & 2 & 4.26849637233034 & -2.26849637233034 \tabularnewline
411 & 0 & 4.22382551697161 & -4.22382551697161 \tabularnewline
412 & 0 & 2.82582305713526 & -2.82582305713526 \tabularnewline
413 & 2 & 4.5151440008266 & -2.5151440008266 \tabularnewline
414 & 0 & 4.5151440008266 & -4.5151440008266 \tabularnewline
415 & 0 & 4.22382551697161 & -4.22382551697161 \tabularnewline
416 & 0 & 4.22382551697161 & -4.22382551697161 \tabularnewline
417 & 0 & 5.44604484501103 & -5.44604484501103 \tabularnewline
418 & 0 & 5.44604484501103 & -5.44604484501103 \tabularnewline
419 & 0 & 5.44604484501103 & -5.44604484501103 \tabularnewline
420 & 2 & 5.5295013960469 & -3.5295013960469 \tabularnewline
421 & 1 & 5.5295013960469 & -4.5295013960469 \tabularnewline
422 & 1 & 5.44604484501103 & -4.44604484501103 \tabularnewline
423 & 0 & 5.43582980725447 & -5.43582980725447 \tabularnewline
424 & 3 & 6.76918302422518 & -3.76918302422518 \tabularnewline
425 & 2 & 5.87319733717464 & -3.87319733717464 \tabularnewline
426 & 4 & 5.43582980725447 & -1.43582980725447 \tabularnewline
427 & 3 & 10.102295441803 & -7.10229544180303 \tabularnewline
428 & 1 & 5.047920504547 & -4.047920504547 \tabularnewline
429 & 16 & 8.52270612933606 & 7.47729387066394 \tabularnewline
430 & 6 & 6.64033074154512 & -0.640330741545123 \tabularnewline
431 & 9 & 5.43582980725447 & 3.56417019274553 \tabularnewline
432 & 9 & 6.88755473239493 & 2.11244526760507 \tabularnewline
433 & 0 & 5.02386873271132 & -5.02386873271132 \tabularnewline
434 & 9 & 5.87319733717464 & 3.12680266282536 \tabularnewline
435 & 8 & 5.81169307335204 & 2.18830692664796 \tabularnewline
436 & 0 & 5.44604484501103 & -5.44604484501103 \tabularnewline
437 & 1 & 6.82605046857234 & -5.82605046857234 \tabularnewline
438 & 12 & 9.53864193769862 & 2.46135806230138 \tabularnewline
439 & 10 & 6.93533584595169 & 3.06466415404831 \tabularnewline
440 & 7 & 5.02386873271132 & 1.97613126728868 \tabularnewline
441 & 13 & 6.64033074154512 & 6.35966925845488 \tabularnewline
442 & 16 & 6.64033074154513 & 9.35966925845487 \tabularnewline
443 & 6 & 1.79371301339279 & 4.20628698660721 \tabularnewline
444 & 7 & 4.73251530219202 & 2.26748469780798 \tabularnewline
445 & 5 & 4.07890517787261 & 0.921094822127395 \tabularnewline
446 & 9 & 8.03206337194064 & 0.967936628059357 \tabularnewline
447 & 11 & 8.96007365925622 & 2.03992634074378 \tabularnewline
448 & 11 & 8.24209286517318 & 2.75790713482682 \tabularnewline
449 & 13 & 5.81169307335204 & 7.18830692664796 \tabularnewline
450 & 13 & 7.27119979701099 & 5.72880020298901 \tabularnewline
451 & 0 & 5.02386873271132 & -5.02386873271132 \tabularnewline
452 & 12 & 6.64033074154512 & 5.35966925845488 \tabularnewline
453 & 12 & 5.49382595856779 & 6.50617404143221 \tabularnewline
454 & 2 & 5.44604484501103 & -3.44604484501103 \tabularnewline
455 & 2 & 6.93533584595169 & -4.93533584595169 \tabularnewline
456 & 12 & 6.83383226709082 & 5.16616773290918 \tabularnewline
457 & 7 & 5.57728250960366 & 1.42271749039634 \tabularnewline
458 & 1 & 4.31792488197349 & -3.31792488197349 \tabularnewline
459 & 0 & 5.75482562900489 & -5.75482562900489 \tabularnewline
460 & 6 & 5.44604484501103 & 0.553955154988973 \tabularnewline
461 & 14 & 6.64033074154512 & 7.35966925845488 \tabularnewline
462 & 10 & 6.93533584595169 & 3.06466415404831 \tabularnewline
463 & 11 & 6.94267313929139 & 4.05732686070861 \tabularnewline
464 & 4 & 4.07777647090644 & -0.0777764709064363 \tabularnewline
465 & 8 & 4.07890517787261 & 3.92109482212739 \tabularnewline
466 & 12 & 4.51803455769545 & 7.48196544230455 \tabularnewline
467 & 0 & 9.00785477281298 & -9.00785477281298 \tabularnewline
468 & 10 & 5.81169307335204 & 4.18830692664796 \tabularnewline
469 & 14 & 9.53864193769862 & 4.46135806230138 \tabularnewline
470 & 12 & 6.83383226709082 & 5.16616773290918 \tabularnewline
471 & 1 & 4.81597185322789 & -3.81597185322789 \tabularnewline
472 & 0 & 8.744242105455 & -8.744242105455 \tabularnewline
473 & 9 & 5.5295013960469 & 3.4704986039531 \tabularnewline
474 & 12 & 1.79371301339279 & 10.2062869866072 \tabularnewline
475 & 9 & 8.24209286517318 & 0.757907134826817 \tabularnewline
476 & 6 & 8.96007365925622 & -2.96007365925622 \tabularnewline
477 & 12 & 6.83383226709082 & 5.16616773290918 \tabularnewline
478 & 17 & 6.93533584595169 & 10.0646641540483 \tabularnewline
479 & 10 & 7.27119979701099 & 2.72880020298901 \tabularnewline
480 & 12 & 8.24209286517318 & 3.75790713482682 \tabularnewline
481 & 19 & 6.64033074154513 & 12.3596692584549 \tabularnewline
482 & 12 & 5.58461980294336 & 6.41538019705664 \tabularnewline
483 & 11 & 8.24654411643721 & 2.75345588356279 \tabularnewline
484 & 9 & 8.744242105455 & 0.255757894545003 \tabularnewline
485 & 5 & 4.16236172890847 & 0.837638271091527 \tabularnewline
486 & 12 & 6.45018720247476 & 5.54981279752524 \tabularnewline
487 & 5 & 6.83383226709082 & -1.83383226709082 \tabularnewline
488 & 5 & 8.24209286517318 & -3.24209286517318 \tabularnewline
489 & 10 & 8.744242105455 & 1.255757894545 \tabularnewline
490 & 9 & 5.43582980725447 & 3.56417019274553 \tabularnewline
491 & 9 & 10.0407911779804 & -1.04079117798043 \tabularnewline
492 & 14 & 4.51514400082661 & 9.48485599917339 \tabularnewline
493 & 22 & 8.96007365925622 & 13.0399263407438 \tabularnewline
494 & 17 & 8.744242105455 & 8.255757894545 \tabularnewline
495 & 13 & 6.93533584595169 & 6.06466415404831 \tabularnewline
496 & 8 & 4.51803455769545 & 3.48196544230455 \tabularnewline
497 & 0 & 4.07890517787261 & -4.07890517787261 \tabularnewline
498 & 12 & 5.00867731509086 & 6.99132268490914 \tabularnewline
499 & 0 & 5.43582980725447 & -5.43582980725447 \tabularnewline
500 & 3 & 8.68737466110785 & -5.68737466110785 \tabularnewline
501 & 4 & 8.24209286517318 & -4.24209286517318 \tabularnewline
502 & 10 & 8.24209286517318 & 1.75790713482682 \tabularnewline
503 & 10 & 8.24209286517318 & 1.75790713482682 \tabularnewline
504 & 12 & 9.00785477281298 & 2.99214522718702 \tabularnewline
505 & 14 & 8.24209286517318 & 5.75790713482682 \tabularnewline
506 & 14 & 6.64033074154512 & 7.35966925845488 \tabularnewline
507 & 5 & 5.44604484501103 & -0.446044845011027 \tabularnewline
508 & 15 & 5.91314646066295 & 9.08685353933705 \tabularnewline
509 & 7 & 6.83383226709082 & 0.166167732909179 \tabularnewline
510 & 15 & 5.87319733717464 & 9.12680266282536 \tabularnewline
511 & 15 & 6.88755473239493 & 8.11244526760507 \tabularnewline
512 & 11 & 5.00867731509086 & 5.99132268490914 \tabularnewline
513 & 2 & 3.02240670798668 & -1.02240670798668 \tabularnewline
514 & 1 & 3.02240670798668 & -2.02240670798668 \tabularnewline
515 & 5 & 3.02240670798668 & 1.97759329201332 \tabularnewline
516 & 5 & 3.02240670798668 & 1.97759329201332 \tabularnewline
517 & 4 & 1.74882245670488 & 2.25117754329512 \tabularnewline
518 & 7 & 1.74882245670488 & 5.25117754329512 \tabularnewline
519 & 5 & 1.74882245670488 & 3.25117754329512 \tabularnewline
520 & 4 & 1.74882245670488 & 2.25117754329512 \tabularnewline
521 & 2 & 3.02240670798668 & -1.02240670798668 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203022&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]8[/C][C]6.78183710699254[/C][C]1.21816289300746[/C][/ROW]
[ROW][C]2[/C][C]9[/C][C]6.78183710699261[/C][C]2.21816289300739[/C][/ROW]
[ROW][C]3[/C][C]8[/C][C]8.56774886953642[/C][C]-0.567748869536419[/C][/ROW]
[ROW][C]4[/C][C]5[/C][C]8.12372115700343[/C][C]-3.12372115700343[/C][/ROW]
[ROW][C]5[/C][C]3[/C][C]10.102295441803[/C][C]-7.10229544180304[/C][/ROW]
[ROW][C]6[/C][C]4[/C][C]5.13000337613318[/C][C]-1.13000337613318[/C][/ROW]
[ROW][C]7[/C][C]2[/C][C]5.13000337613318[/C][C]-3.13000337613318[/C][/ROW]
[ROW][C]8[/C][C]1[/C][C]2.96058244853532[/C][C]-1.96058244853532[/C][/ROW]
[ROW][C]9[/C][C]3[/C][C]2.96058244853531[/C][C]0.0394175514646925[/C][/ROW]
[ROW][C]10[/C][C]6[/C][C]2.96058244853532[/C][C]3.03941755146468[/C][/ROW]
[ROW][C]11[/C][C]1[/C][C]2.96058244853531[/C][C]-1.96058244853531[/C][/ROW]
[ROW][C]12[/C][C]5[/C][C]5.1300033761332[/C][C]-0.130003376133195[/C][/ROW]
[ROW][C]13[/C][C]0[/C][C]5.49382595856779[/C][C]-5.49382595856779[/C][/ROW]
[ROW][C]14[/C][C]1[/C][C]1.74882245670488[/C][C]-0.748822456704877[/C][/ROW]
[ROW][C]15[/C][C]5[/C][C]0.430012309812982[/C][C]4.56998769018702[/C][/ROW]
[ROW][C]16[/C][C]2[/C][C]6.06976844642029[/C][C]-4.06976844642029[/C][/ROW]
[ROW][C]17[/C][C]5[/C][C]3.34213348110115[/C][C]1.65786651889885[/C][/ROW]
[ROW][C]18[/C][C]2[/C][C]5.26285127095007[/C][C]-3.26285127095007[/C][/ROW]
[ROW][C]19[/C][C]2[/C][C]6.85616229534635[/C][C]-4.85616229534635[/C][/ROW]
[ROW][C]20[/C][C]0[/C][C]0.0387138624995411[/C][C]-0.0387138624995411[/C][/ROW]
[ROW][C]21[/C][C]3[/C][C]3.34213348110116[/C][C]-0.34213348110116[/C][/ROW]
[ROW][C]22[/C][C]2[/C][C]9.00785477281299[/C][C]-7.00785477281299[/C][/ROW]
[ROW][C]23[/C][C]2[/C][C]6.06976844642029[/C][C]-4.06976844642029[/C][/ROW]
[ROW][C]24[/C][C]2[/C][C]5.49382595856779[/C][C]-3.49382595856779[/C][/ROW]
[ROW][C]25[/C][C]2[/C][C]5.57728250960366[/C][C]-3.57728250960366[/C][/ROW]
[ROW][C]26[/C][C]3[/C][C]6.85616229534635[/C][C]-3.85616229534635[/C][/ROW]
[ROW][C]27[/C][C]2[/C][C]5.26285127095007[/C][C]-3.26285127095007[/C][/ROW]
[ROW][C]28[/C][C]0[/C][C]4.31792488197349[/C][C]-4.31792488197349[/C][/ROW]
[ROW][C]29[/C][C]1[/C][C]1.74882245670488[/C][C]-0.748822456704877[/C][/ROW]
[ROW][C]30[/C][C]7[/C][C]5.047920504547[/C][C]1.952079495453[/C][/ROW]
[ROW][C]31[/C][C]3[/C][C]4.65662205723356[/C][C]-1.65662205723356[/C][/ROW]
[ROW][C]32[/C][C]2[/C][C]4.65662205723356[/C][C]-2.65662205723356[/C][/ROW]
[ROW][C]33[/C][C]4[/C][C]4.77175849164816[/C][C]-0.771758491648159[/C][/ROW]
[ROW][C]34[/C][C]2[/C][C]5.047920504547[/C][C]-3.047920504547[/C][/ROW]
[ROW][C]35[/C][C]4[/C][C]5.047920504547[/C][C]-1.047920504547[/C][/ROW]
[ROW][C]36[/C][C]0[/C][C]5.43582980725447[/C][C]-5.43582980725447[/C][/ROW]
[ROW][C]37[/C][C]0[/C][C]5.15966779435563[/C][C]-5.15966779435563[/C][/ROW]
[ROW][C]38[/C][C]2[/C][C]5.43582980725447[/C][C]-3.43582980725447[/C][/ROW]
[ROW][C]39[/C][C]3[/C][C]5.43582980725447[/C][C]-2.43582980725447[/C][/ROW]
[ROW][C]40[/C][C]3[/C][C]5.15966779435563[/C][C]-2.15966779435563[/C][/ROW]
[ROW][C]41[/C][C]14[/C][C]4.26255807633556[/C][C]9.73744192366444[/C][/ROW]
[ROW][C]42[/C][C]13[/C][C]4.26255807633556[/C][C]8.73744192366444[/C][/ROW]
[ROW][C]43[/C][C]2[/C][C]3.71508259543801[/C][C]-1.71508259543801[/C][/ROW]
[ROW][C]44[/C][C]5[/C][C]3.78469613714876[/C][C]1.21530386285124[/C][/ROW]
[ROW][C]45[/C][C]2[/C][C]3.71508259543801[/C][C]-1.71508259543801[/C][/ROW]
[ROW][C]46[/C][C]5[/C][C]3.23722065625121[/C][C]1.76277934374879[/C][/ROW]
[ROW][C]47[/C][C]2[/C][C]3.23722065625121[/C][C]-1.23722065625121[/C][/ROW]
[ROW][C]48[/C][C]3[/C][C]3.71508259543801[/C][C]-0.715082595438009[/C][/ROW]
[ROW][C]49[/C][C]2[/C][C]5.26285127095007[/C][C]-3.26285127095007[/C][/ROW]
[ROW][C]50[/C][C]2[/C][C]5.26285127095007[/C][C]-3.26285127095007[/C][/ROW]
[ROW][C]51[/C][C]4[/C][C]5.26285127095007[/C][C]-1.26285127095007[/C][/ROW]
[ROW][C]52[/C][C]9[/C][C]1.74882245670488[/C][C]7.25117754329512[/C][/ROW]
[ROW][C]53[/C][C]3[/C][C]7.83195369621869[/C][C]-4.83195369621869[/C][/ROW]
[ROW][C]54[/C][C]3[/C][C]5.26285127095007[/C][C]-2.26285127095007[/C][/ROW]
[ROW][C]55[/C][C]8[/C][C]7.83195369621869[/C][C]0.168046303781315[/C][/ROW]
[ROW][C]56[/C][C]10[/C][C]9.00785477281298[/C][C]0.992145227187018[/C][/ROW]
[ROW][C]57[/C][C]9[/C][C]5.49382595856779[/C][C]3.50617404143221[/C][/ROW]
[ROW][C]58[/C][C]6[/C][C]4.73251530219202[/C][C]1.26748469780798[/C][/ROW]
[ROW][C]59[/C][C]1[/C][C]1.74882245670488[/C][C]-0.748822456704877[/C][/ROW]
[ROW][C]60[/C][C]3[/C][C]5.44604484501103[/C][C]-2.44604484501103[/C][/ROW]
[ROW][C]61[/C][C]2[/C][C]5.26285127095007[/C][C]-3.26285127095007[/C][/ROW]
[ROW][C]62[/C][C]0[/C][C]2.72461385757722[/C][C]-2.72461385757722[/C][/ROW]
[ROW][C]63[/C][C]3[/C][C]8.96007365925622[/C][C]-5.96007365925622[/C][/ROW]
[ROW][C]64[/C][C]2[/C][C]6.23864267182241[/C][C]-4.23864267182241[/C][/ROW]
[ROW][C]65[/C][C]0[/C][C]4.31792488197349[/C][C]-4.31792488197349[/C][/ROW]
[ROW][C]66[/C][C]9[/C][C]5.44604484501103[/C][C]3.55395515498897[/C][/ROW]
[ROW][C]67[/C][C]4[/C][C]3.34213348110115[/C][C]0.657866518898848[/C][/ROW]
[ROW][C]68[/C][C]7[/C][C]5.44604484501103[/C][C]1.55395515498897[/C][/ROW]
[ROW][C]69[/C][C]1[/C][C]2.72461385757722[/C][C]-1.72461385757722[/C][/ROW]
[ROW][C]70[/C][C]0[/C][C]6.23864267182241[/C][C]-6.23864267182241[/C][/ROW]
[ROW][C]71[/C][C]2[/C][C]4.73251530219202[/C][C]-2.73251530219202[/C][/ROW]
[ROW][C]72[/C][C]3[/C][C]1.74882245670488[/C][C]1.25117754329512[/C][/ROW]
[ROW][C]73[/C][C]1[/C][C]4.31792488197349[/C][C]-3.31792488197349[/C][/ROW]
[ROW][C]74[/C][C]5[/C][C]7.97384511828884[/C][C]-2.97384511828884[/C][/ROW]
[ROW][C]75[/C][C]1[/C][C]5.48528803446717[/C][C]-4.48528803446717[/C][/ROW]
[ROW][C]76[/C][C]8[/C][C]2.96553926363953[/C][C]5.03446073636047[/C][/ROW]
[ROW][C]77[/C][C]4[/C][C]9.53864193769862[/C][C]-5.53864193769862[/C][/ROW]
[ROW][C]78[/C][C]4[/C][C]8.12372115700343[/C][C]-4.12372115700343[/C][/ROW]
[ROW][C]79[/C][C]8[/C][C]5.36691632629742[/C][C]2.63308367370258[/C][/ROW]
[ROW][C]80[/C][C]9[/C][C]8.24209286517318[/C][C]0.757907134826817[/C][/ROW]
[ROW][C]81[/C][C]10[/C][C]5.43582980725447[/C][C]4.56417019274553[/C][/ROW]
[ROW][C]82[/C][C]36[/C][C]11.3988445143285[/C][C]24.6011554856715[/C][/ROW]
[ROW][C]83[/C][C]10[/C][C]7.38004066921156[/C][C]2.61995933078844[/C][/ROW]
[ROW][C]84[/C][C]6[/C][C]6.45018720247476[/C][C]-0.450187202474764[/C][/ROW]
[ROW][C]85[/C][C]1[/C][C]6.76918302422518[/C][C]-5.76918302422518[/C][/ROW]
[ROW][C]86[/C][C]2[/C][C]5.43582980725447[/C][C]-3.43582980725447[/C][/ROW]
[ROW][C]87[/C][C]6[/C][C]9.66492791188287[/C][C]-3.66492791188287[/C][/ROW]
[ROW][C]88[/C][C]8[/C][C]6.76918302422518[/C][C]1.23081697577482[/C][/ROW]
[ROW][C]89[/C][C]9[/C][C]6.11364254165899[/C][C]2.88635745834101[/C][/ROW]
[ROW][C]90[/C][C]9[/C][C]5.36691632629742[/C][C]3.63308367370258[/C][/ROW]
[ROW][C]91[/C][C]2[/C][C]4.75910440888074[/C][C]-2.75910440888074[/C][/ROW]
[ROW][C]92[/C][C]1[/C][C]10.102295441803[/C][C]-9.10229544180303[/C][/ROW]
[ROW][C]93[/C][C]8[/C][C]4.97561787898397[/C][C]3.02438212101603[/C][/ROW]
[ROW][C]94[/C][C]6[/C][C]10.102295441803[/C][C]-4.10229544180303[/C][/ROW]
[ROW][C]95[/C][C]7[/C][C]3.74474701366045[/C][C]3.25525298633955[/C][/ROW]
[ROW][C]96[/C][C]6[/C][C]10.102295441803[/C][C]-4.10229544180303[/C][/ROW]
[ROW][C]97[/C][C]5[/C][C]6.45018720247476[/C][C]-1.45018720247476[/C][/ROW]
[ROW][C]98[/C][C]1[/C][C]8.28987397872994[/C][C]-7.28987397872994[/C][/ROW]
[ROW][C]99[/C][C]3[/C][C]7.27119979701099[/C][C]-4.27119979701099[/C][/ROW]
[ROW][C]100[/C][C]8[/C][C]2.96553926363953[/C][C]5.03446073636047[/C][/ROW]
[ROW][C]101[/C][C]3[/C][C]5.43582980725447[/C][C]-2.43582980725447[/C][/ROW]
[ROW][C]102[/C][C]4[/C][C]11.3988445143285[/C][C]-7.39884451432847[/C][/ROW]
[ROW][C]103[/C][C]10[/C][C]8.28987397872994[/C][C]1.71012602127006[/C][/ROW]
[ROW][C]104[/C][C]7[/C][C]6.83383226709082[/C][C]0.166167732909179[/C][/ROW]
[ROW][C]105[/C][C]5[/C][C]4.97561787898397[/C][C]0.0243821210160269[/C][/ROW]
[ROW][C]106[/C][C]4[/C][C]7.97384511828884[/C][C]-3.97384511828884[/C][/ROW]
[ROW][C]107[/C][C]4[/C][C]5.36691632629742[/C][C]-1.36691632629742[/C][/ROW]
[ROW][C]108[/C][C]5[/C][C]11.3988445143285[/C][C]-6.39884451432847[/C][/ROW]
[ROW][C]109[/C][C]7[/C][C]4.75910440888074[/C][C]2.24089559111926[/C][/ROW]
[ROW][C]110[/C][C]2[/C][C]6.39053865967916[/C][C]-4.39053865967916[/C][/ROW]
[ROW][C]111[/C][C]9[/C][C]6.76918302422518[/C][C]2.23081697577482[/C][/ROW]
[ROW][C]112[/C][C]4[/C][C]7.27119979701099[/C][C]-3.27119979701099[/C][/ROW]
[ROW][C]113[/C][C]9[/C][C]6.11364254165899[/C][C]2.88635745834101[/C][/ROW]
[ROW][C]114[/C][C]6[/C][C]4.8974059363023[/C][C]1.1025940636977[/C][/ROW]
[ROW][C]115[/C][C]8[/C][C]5.44604484501103[/C][C]2.55395515498897[/C][/ROW]
[ROW][C]116[/C][C]2[/C][C]4.73251530219202[/C][C]-2.73251530219202[/C][/ROW]
[ROW][C]117[/C][C]1[/C][C]5.44604484501103[/C][C]-4.44604484501103[/C][/ROW]
[ROW][C]118[/C][C]3[/C][C]3.02240670798668[/C][C]-0.0224067079866818[/C][/ROW]
[ROW][C]119[/C][C]4[/C][C]3.02240670798668[/C][C]0.977593292013317[/C][/ROW]
[ROW][C]120[/C][C]3[/C][C]3.02240670798668[/C][C]-0.0224067079866818[/C][/ROW]
[ROW][C]121[/C][C]3[/C][C]5.44604484501103[/C][C]-2.44604484501103[/C][/ROW]
[ROW][C]122[/C][C]2[/C][C]3.41370515530012[/C][C]-1.41370515530012[/C][/ROW]
[ROW][C]123[/C][C]2[/C][C]3.02240670798668[/C][C]-1.02240670798668[/C][/ROW]
[ROW][C]124[/C][C]4[/C][C]3.02240670798668[/C][C]0.977593292013317[/C][/ROW]
[ROW][C]125[/C][C]2[/C][C]4.31792488197349[/C][C]-2.31792488197349[/C][/ROW]
[ROW][C]126[/C][C]3[/C][C]3.02240670798668[/C][C]-0.0224067079866818[/C][/ROW]
[ROW][C]127[/C][C]3[/C][C]4.31792488197349[/C][C]-1.31792488197349[/C][/ROW]
[ROW][C]128[/C][C]3[/C][C]4.81597185322789[/C][C]-1.81597185322789[/C][/ROW]
[ROW][C]129[/C][C]3[/C][C]4.81597185322789[/C][C]-1.81597185322789[/C][/ROW]
[ROW][C]130[/C][C]6[/C][C]5.047920504547[/C][C]0.952079495453002[/C][/ROW]
[ROW][C]131[/C][C]7[/C][C]5.41891148639564[/C][C]1.58108851360436[/C][/ROW]
[ROW][C]132[/C][C]6[/C][C]5.41891148639563[/C][C]0.581088513604365[/C][/ROW]
[ROW][C]133[/C][C]9[/C][C]5.87319733717464[/C][C]3.12680266282536[/C][/ROW]
[ROW][C]134[/C][C]0[/C][C]6.88755473239494[/C][C]-6.88755473239494[/C][/ROW]
[ROW][C]135[/C][C]1[/C][C]7.80472533525302[/C][C]-6.80472533525302[/C][/ROW]
[ROW][C]136[/C][C]8[/C][C]5.87319733717464[/C][C]2.12680266282536[/C][/ROW]
[ROW][C]137[/C][C]9[/C][C]6.88755473239493[/C][C]2.11244526760507[/C][/ROW]
[ROW][C]138[/C][C]6[/C][C]10.102295441803[/C][C]-4.10229544180303[/C][/ROW]
[ROW][C]139[/C][C]11[/C][C]8.25000713118768[/C][C]2.74999286881232[/C][/ROW]
[ROW][C]140[/C][C]3[/C][C]6.83383226709082[/C][C]-3.83383226709082[/C][/ROW]
[ROW][C]141[/C][C]6[/C][C]7.80472533525302[/C][C]-1.80472533525302[/C][/ROW]
[ROW][C]142[/C][C]6[/C][C]6.89195379483964[/C][C]-0.891953794839645[/C][/ROW]
[ROW][C]143[/C][C]8[/C][C]6.83383226709082[/C][C]1.16616773290918[/C][/ROW]
[ROW][C]144[/C][C]12[/C][C]5.5295013960469[/C][C]6.4704986039531[/C][/ROW]
[ROW][C]145[/C][C]1[/C][C]8.96007365925622[/C][C]-7.96007365925622[/C][/ROW]
[ROW][C]146[/C][C]9[/C][C]5.44604484501103[/C][C]3.55395515498897[/C][/ROW]
[ROW][C]147[/C][C]10[/C][C]5.047920504547[/C][C]4.952079495453[/C][/ROW]
[ROW][C]148[/C][C]5[/C][C]4.65662205723356[/C][C]0.343377942766443[/C][/ROW]
[ROW][C]149[/C][C]3[/C][C]6.88755473239493[/C][C]-3.88755473239493[/C][/ROW]
[ROW][C]150[/C][C]5[/C][C]6.06976844642028[/C][C]-1.06976844642028[/C][/ROW]
[ROW][C]151[/C][C]11[/C][C]10.102295441803[/C][C]0.897704558196968[/C][/ROW]
[ROW][C]152[/C][C]7[/C][C]5.44604484501103[/C][C]1.55395515498897[/C][/ROW]
[ROW][C]153[/C][C]9[/C][C]5.49382595856779[/C][C]3.50617404143221[/C][/ROW]
[ROW][C]154[/C][C]21[/C][C]6.74259391753646[/C][C]14.2574060824635[/C][/ROW]
[ROW][C]155[/C][C]12[/C][C]6.74259391753646[/C][C]5.25740608246354[/C][/ROW]
[ROW][C]156[/C][C]3[/C][C]3.75672390131968[/C][C]-0.756723901319679[/C][/ROW]
[ROW][C]157[/C][C]5[/C][C]3.84796765611703[/C][C]1.15203234388297[/C][/ROW]
[ROW][C]158[/C][C]11[/C][C]3.84796765611703[/C][C]7.15203234388297[/C][/ROW]
[ROW][C]159[/C][C]4[/C][C]3.84796765611703[/C][C]0.152032343882971[/C][/ROW]
[ROW][C]160[/C][C]11[/C][C]8.24654411643721[/C][C]2.75345588356279[/C][/ROW]
[ROW][C]161[/C][C]18[/C][C]8.24654411643722[/C][C]9.75345588356278[/C][/ROW]
[ROW][C]162[/C][C]6[/C][C]8.96007365925622[/C][C]-2.96007365925622[/C][/ROW]
[ROW][C]163[/C][C]8[/C][C]8.96007365925622[/C][C]-0.960073659256221[/C][/ROW]
[ROW][C]164[/C][C]8[/C][C]7.83195369621869[/C][C]0.168046303781315[/C][/ROW]
[ROW][C]165[/C][C]12[/C][C]8.96007365925622[/C][C]3.03992634074378[/C][/ROW]
[ROW][C]166[/C][C]5[/C][C]8.24654411643721[/C][C]-3.24654411643721[/C][/ROW]
[ROW][C]167[/C][C]2[/C][C]8.24654411643721[/C][C]-6.24654411643721[/C][/ROW]
[ROW][C]168[/C][C]3[/C][C]7.83195369621869[/C][C]-4.83195369621869[/C][/ROW]
[ROW][C]169[/C][C]11[/C][C]7.83195369621869[/C][C]3.16804630378131[/C][/ROW]
[ROW][C]170[/C][C]26[/C][C]8.96007365925621[/C][C]17.0399263407438[/C][/ROW]
[ROW][C]171[/C][C]2[/C][C]8.24654411643721[/C][C]-6.24654411643721[/C][/ROW]
[ROW][C]172[/C][C]2[/C][C]5.57728250960366[/C][C]-3.57728250960366[/C][/ROW]
[ROW][C]173[/C][C]8[/C][C]5.30845779004452[/C][C]2.69154220995548[/C][/ROW]
[ROW][C]174[/C][C]15[/C][C]7.83195369621869[/C][C]7.16804630378131[/C][/ROW]
[ROW][C]175[/C][C]18[/C][C]7.83195369621869[/C][C]10.1680463037813[/C][/ROW]
[ROW][C]176[/C][C]10[/C][C]4.40138143300936[/C][C]5.59861856699064[/C][/ROW]
[ROW][C]177[/C][C]2[/C][C]8.96007365925622[/C][C]-6.96007365925622[/C][/ROW]
[ROW][C]178[/C][C]6[/C][C]7.83195369621869[/C][C]-1.83195369621869[/C][/ROW]
[ROW][C]179[/C][C]7[/C][C]8.24654411643722[/C][C]-1.24654411643722[/C][/ROW]
[ROW][C]180[/C][C]16[/C][C]8.24654411643722[/C][C]7.75345588356278[/C][/ROW]
[ROW][C]181[/C][C]23[/C][C]8.24654411643721[/C][C]14.7534558835628[/C][/ROW]
[ROW][C]182[/C][C]2[/C][C]4.40138143300936[/C][C]-2.40138143300936[/C][/ROW]
[ROW][C]183[/C][C]1[/C][C]8.24654411643721[/C][C]-7.24654411643721[/C][/ROW]
[ROW][C]184[/C][C]7[/C][C]7.83195369621869[/C][C]-0.831953696218686[/C][/ROW]
[ROW][C]185[/C][C]10[/C][C]8.24654411643721[/C][C]1.75345588356279[/C][/ROW]
[ROW][C]186[/C][C]13[/C][C]8.24654411643721[/C][C]4.75345588356279[/C][/ROW]
[ROW][C]187[/C][C]11[/C][C]8.96007365925622[/C][C]2.03992634074378[/C][/ROW]
[ROW][C]188[/C][C]7[/C][C]6.74259391753646[/C][C]0.257406082463538[/C][/ROW]
[ROW][C]189[/C][C]19[/C][C]7.83195369621869[/C][C]11.1680463037813[/C][/ROW]
[ROW][C]190[/C][C]4[/C][C]4.40138143300936[/C][C]-0.40138143300936[/C][/ROW]
[ROW][C]191[/C][C]5[/C][C]8.24654411643721[/C][C]-3.24654411643721[/C][/ROW]
[ROW][C]192[/C][C]24[/C][C]8.96007365925622[/C][C]15.0399263407438[/C][/ROW]
[ROW][C]193[/C][C]10[/C][C]5.44604484501103[/C][C]4.55395515498897[/C][/ROW]
[ROW][C]194[/C][C]13[/C][C]8.24654411643721[/C][C]4.75345588356279[/C][/ROW]
[ROW][C]195[/C][C]10[/C][C]7.83195369621869[/C][C]2.16804630378131[/C][/ROW]
[ROW][C]196[/C][C]11[/C][C]8.96007365925622[/C][C]2.03992634074378[/C][/ROW]
[ROW][C]197[/C][C]14[/C][C]4.40138143300937[/C][C]9.59861856699063[/C][/ROW]
[ROW][C]198[/C][C]7[/C][C]7.83195369621869[/C][C]-0.831953696218686[/C][/ROW]
[ROW][C]199[/C][C]12[/C][C]8.24654411643722[/C][C]3.75345588356278[/C][/ROW]
[ROW][C]200[/C][C]8[/C][C]6.74259391753646[/C][C]1.25740608246354[/C][/ROW]
[ROW][C]201[/C][C]6[/C][C]5.44604484501103[/C][C]0.553955154988973[/C][/ROW]
[ROW][C]202[/C][C]1[/C][C]8.24654411643721[/C][C]-7.24654411643721[/C][/ROW]
[ROW][C]203[/C][C]6[/C][C]8.24654411643722[/C][C]-2.24654411643722[/C][/ROW]
[ROW][C]204[/C][C]8[/C][C]8.96007365925622[/C][C]-0.960073659256221[/C][/ROW]
[ROW][C]205[/C][C]6[/C][C]8.24654411643722[/C][C]-2.24654411643722[/C][/ROW]
[ROW][C]206[/C][C]2[/C][C]4.40138143300936[/C][C]-2.40138143300936[/C][/ROW]
[ROW][C]207[/C][C]20[/C][C]8.96007365925623[/C][C]11.0399263407438[/C][/ROW]
[ROW][C]208[/C][C]13[/C][C]8.24654411643721[/C][C]4.75345588356279[/C][/ROW]
[ROW][C]209[/C][C]18[/C][C]8.24654411643722[/C][C]9.75345588356278[/C][/ROW]
[ROW][C]210[/C][C]3[/C][C]8.24654411643721[/C][C]-5.24654411643721[/C][/ROW]
[ROW][C]211[/C][C]15[/C][C]8.24654411643722[/C][C]6.75345588356278[/C][/ROW]
[ROW][C]212[/C][C]4[/C][C]5.57728250960366[/C][C]-1.57728250960366[/C][/ROW]
[ROW][C]213[/C][C]6[/C][C]8.96007365925622[/C][C]-2.96007365925622[/C][/ROW]
[ROW][C]214[/C][C]11[/C][C]7.83195369621869[/C][C]3.16804630378131[/C][/ROW]
[ROW][C]215[/C][C]4[/C][C]5.57728250960366[/C][C]-1.57728250960366[/C][/ROW]
[ROW][C]216[/C][C]24[/C][C]8.24654411643721[/C][C]15.7534558835628[/C][/ROW]
[ROW][C]217[/C][C]7[/C][C]8.96007365925622[/C][C]-1.96007365925622[/C][/ROW]
[ROW][C]218[/C][C]14[/C][C]8.24654411643722[/C][C]5.75345588356278[/C][/ROW]
[ROW][C]219[/C][C]16[/C][C]8.24654411643722[/C][C]7.75345588356278[/C][/ROW]
[ROW][C]220[/C][C]9[/C][C]8.24654411643721[/C][C]0.753455883562786[/C][/ROW]
[ROW][C]221[/C][C]1[/C][C]5.30845779004452[/C][C]-4.30845779004452[/C][/ROW]
[ROW][C]222[/C][C]2[/C][C]5.30845779004452[/C][C]-3.30845779004452[/C][/ROW]
[ROW][C]223[/C][C]0[/C][C]3.40105107253271[/C][C]-3.40105107253271[/C][/ROW]
[ROW][C]224[/C][C]0[/C][C]3.40105107253271[/C][C]-3.40105107253271[/C][/ROW]
[ROW][C]225[/C][C]0[/C][C]3.41370515530012[/C][C]-3.41370515530012[/C][/ROW]
[ROW][C]226[/C][C]0[/C][C]6.74259391753646[/C][C]-6.74259391753646[/C][/ROW]
[ROW][C]227[/C][C]1[/C][C]3.41370515530012[/C][C]-2.41370515530012[/C][/ROW]
[ROW][C]228[/C][C]5[/C][C]4.11458061535171[/C][C]0.885419384648287[/C][/ROW]
[ROW][C]229[/C][C]0[/C][C]3.40105107253271[/C][C]-3.40105107253271[/C][/ROW]
[ROW][C]230[/C][C]2[/C][C]6.74259391753646[/C][C]-4.74259391753646[/C][/ROW]
[ROW][C]231[/C][C]3[/C][C]5.30845779004452[/C][C]-2.30845779004452[/C][/ROW]
[ROW][C]232[/C][C]4[/C][C]4.11458061535171[/C][C]-0.114580615351713[/C][/ROW]
[ROW][C]233[/C][C]1[/C][C]3.40105107253271[/C][C]-2.40105107253271[/C][/ROW]
[ROW][C]234[/C][C]10[/C][C]4.11458061535171[/C][C]5.88541938464829[/C][/ROW]
[ROW][C]235[/C][C]1[/C][C]3.40105107253271[/C][C]-2.40105107253271[/C][/ROW]
[ROW][C]236[/C][C]0[/C][C]3.40105107253271[/C][C]-3.40105107253271[/C][/ROW]
[ROW][C]237[/C][C]0[/C][C]6.74259391753646[/C][C]-6.74259391753646[/C][/ROW]
[ROW][C]238[/C][C]0[/C][C]3.68986716819896[/C][C]-3.68986716819896[/C][/ROW]
[ROW][C]239[/C][C]0[/C][C]2.53226652856053[/C][C]-2.53226652856053[/C][/ROW]
[ROW][C]240[/C][C]3[/C][C]5.09213386612673[/C][C]-2.09213386612673[/C][/ROW]
[ROW][C]241[/C][C]1[/C][C]5.47577893074278[/C][C]-4.47577893074278[/C][/ROW]
[ROW][C]242[/C][C]5[/C][C]1.74882245670488[/C][C]3.25117754329512[/C][/ROW]
[ROW][C]243[/C][C]1[/C][C]5.47577893074278[/C][C]-4.47577893074278[/C][/ROW]
[ROW][C]244[/C][C]4[/C][C]5.04701971714885[/C][C]-1.04701971714885[/C][/ROW]
[ROW][C]245[/C][C]1[/C][C]2.53226652856053[/C][C]-1.53226652856053[/C][/ROW]
[ROW][C]246[/C][C]4[/C][C]5.04701971714885[/C][C]-1.04701971714885[/C][/ROW]
[ROW][C]247[/C][C]3[/C][C]3.40105107253271[/C][C]-0.401051072532708[/C][/ROW]
[ROW][C]248[/C][C]25[/C][C]17.6666666666667[/C][C]7.33333333333334[/C][/ROW]
[ROW][C]249[/C][C]10[/C][C]17.6666666666667[/C][C]-7.66666666666667[/C][/ROW]
[ROW][C]250[/C][C]19[/C][C]17.6666666666667[/C][C]1.33333333333333[/C][/ROW]
[ROW][C]251[/C][C]16[/C][C]17.6666666666667[/C][C]-1.66666666666667[/C][/ROW]
[ROW][C]252[/C][C]14[/C][C]17.6666666666667[/C][C]-3.66666666666666[/C][/ROW]
[ROW][C]253[/C][C]10[/C][C]17.6666666666667[/C][C]-7.66666666666667[/C][/ROW]
[ROW][C]254[/C][C]12[/C][C]17.6666666666667[/C][C]-5.66666666666667[/C][/ROW]
[ROW][C]255[/C][C]20[/C][C]17.6666666666667[/C][C]2.33333333333333[/C][/ROW]
[ROW][C]256[/C][C]22[/C][C]17.6666666666667[/C][C]4.33333333333334[/C][/ROW]
[ROW][C]257[/C][C]13[/C][C]17.6666666666667[/C][C]-4.66666666666666[/C][/ROW]
[ROW][C]258[/C][C]17[/C][C]17.6666666666667[/C][C]-0.666666666666667[/C][/ROW]
[ROW][C]259[/C][C]34[/C][C]17.6666666666667[/C][C]16.3333333333333[/C][/ROW]
[ROW][C]260[/C][C]13[/C][C]4.26849637233034[/C][C]8.73150362766966[/C][/ROW]
[ROW][C]261[/C][C]5[/C][C]4.26849637233034[/C][C]0.731503627669658[/C][/ROW]
[ROW][C]262[/C][C]6[/C][C]4.26849637233034[/C][C]1.73150362766966[/C][/ROW]
[ROW][C]263[/C][C]1[/C][C]4.26849637233034[/C][C]-3.26849637233034[/C][/ROW]
[ROW][C]264[/C][C]8[/C][C]7.83195369621869[/C][C]0.168046303781315[/C][/ROW]
[ROW][C]265[/C][C]4[/C][C]5.09213386612673[/C][C]-1.09213386612673[/C][/ROW]
[ROW][C]266[/C][C]5[/C][C]4.5151440008266[/C][C]0.484855999173397[/C][/ROW]
[ROW][C]267[/C][C]8[/C][C]4.31792488197349[/C][C]3.68207511802651[/C][/ROW]
[ROW][C]268[/C][C]6[/C][C]4.5151440008266[/C][C]1.4848559991734[/C][/ROW]
[ROW][C]269[/C][C]8[/C][C]8.24654411643721[/C][C]-0.246544116437214[/C][/ROW]
[ROW][C]270[/C][C]2[/C][C]6.85616229534635[/C][C]-4.85616229534635[/C][/ROW]
[ROW][C]271[/C][C]0[/C][C]6.85616229534635[/C][C]-6.85616229534635[/C][/ROW]
[ROW][C]272[/C][C]1[/C][C]3.42559003213702[/C][C]-2.42559003213702[/C][/ROW]
[ROW][C]273[/C][C]10[/C][C]5.96092757421971[/C][C]4.03907242578029[/C][/ROW]
[ROW][C]274[/C][C]0[/C][C]5.96092757421971[/C][C]-5.96092757421971[/C][/ROW]
[ROW][C]275[/C][C]1[/C][C]4.31792488197349[/C][C]-3.31792488197349[/C][/ROW]
[ROW][C]276[/C][C]8[/C][C]3.38702403778907[/C][C]4.61297596221093[/C][/ROW]
[ROW][C]277[/C][C]7[/C][C]5.96092757421971[/C][C]1.03907242578029[/C][/ROW]
[ROW][C]278[/C][C]8[/C][C]5.00867731509086[/C][C]2.99132268490914[/C][/ROW]
[ROW][C]279[/C][C]4[/C][C]4.51803455769545[/C][C]-0.51803455769545[/C][/ROW]
[ROW][C]280[/C][C]1[/C][C]3.73593625080569[/C][C]-2.73593625080569[/C][/ROW]
[ROW][C]281[/C][C]9[/C][C]7.81623181813942[/C][C]1.18376818186058[/C][/ROW]
[ROW][C]282[/C][C]8[/C][C]4.5151440008266[/C][C]3.4848559991734[/C][/ROW]
[ROW][C]283[/C][C]3[/C][C]8.96007365925622[/C][C]-5.96007365925622[/C][/ROW]
[ROW][C]284[/C][C]5[/C][C]8.96007365925622[/C][C]-3.96007365925622[/C][/ROW]
[ROW][C]285[/C][C]0[/C][C]7.83195369621869[/C][C]-7.83195369621869[/C][/ROW]
[ROW][C]286[/C][C]1[/C][C]3.75672390131968[/C][C]-2.75672390131968[/C][/ROW]
[ROW][C]287[/C][C]1[/C][C]7.83195369621869[/C][C]-6.83195369621869[/C][/ROW]
[ROW][C]288[/C][C]3[/C][C]2.60781628776815[/C][C]0.392183712231849[/C][/ROW]
[ROW][C]289[/C][C]5[/C][C]7.83195369621869[/C][C]-2.83195369621869[/C][/ROW]
[ROW][C]290[/C][C]7[/C][C]7.83195369621869[/C][C]-0.831953696218686[/C][/ROW]
[ROW][C]291[/C][C]1[/C][C]7.83195369621869[/C][C]-6.83195369621869[/C][/ROW]
[ROW][C]292[/C][C]2[/C][C]7.83195369621869[/C][C]-5.83195369621869[/C][/ROW]
[ROW][C]293[/C][C]13[/C][C]8.96007365925622[/C][C]4.03992634074378[/C][/ROW]
[ROW][C]294[/C][C]4[/C][C]8.96007365925622[/C][C]-4.96007365925622[/C][/ROW]
[ROW][C]295[/C][C]0[/C][C]3.38702403778907[/C][C]-3.38702403778907[/C][/ROW]
[ROW][C]296[/C][C]4[/C][C]3.38702403778907[/C][C]0.612975962210932[/C][/ROW]
[ROW][C]297[/C][C]1[/C][C]3.38702403778907[/C][C]-2.38702403778907[/C][/ROW]
[ROW][C]298[/C][C]4[/C][C]5.81169307335204[/C][C]-1.81169307335204[/C][/ROW]
[ROW][C]299[/C][C]0[/C][C]3.38702403778907[/C][C]-3.38702403778907[/C][/ROW]
[ROW][C]300[/C][C]0[/C][C]5.81169307335204[/C][C]-5.81169307335204[/C][/ROW]
[ROW][C]301[/C][C]1[/C][C]3.38702403778907[/C][C]-2.38702403778907[/C][/ROW]
[ROW][C]302[/C][C]2[/C][C]3.38702403778907[/C][C]-1.38702403778907[/C][/ROW]
[ROW][C]303[/C][C]0[/C][C]3.38702403778907[/C][C]-3.38702403778907[/C][/ROW]
[ROW][C]304[/C][C]2[/C][C]3.38702403778907[/C][C]-1.38702403778907[/C][/ROW]
[ROW][C]305[/C][C]0[/C][C]1.74882245670488[/C][C]-1.74882245670488[/C][/ROW]
[ROW][C]306[/C][C]6[/C][C]3.34213348110115[/C][C]2.65786651889885[/C][/ROW]
[ROW][C]307[/C][C]4[/C][C]5.04701971714885[/C][C]-1.04701971714885[/C][/ROW]
[ROW][C]308[/C][C]7[/C][C]3.80923509675308[/C][C]3.19076490324692[/C][/ROW]
[ROW][C]309[/C][C]6[/C][C]5.04701971714885[/C][C]0.952980282851152[/C][/ROW]
[ROW][C]310[/C][C]1[/C][C]1.74882245670488[/C][C]-0.748822456704877[/C][/ROW]
[ROW][C]311[/C][C]0[/C][C]3.34213348110115[/C][C]-3.34213348110115[/C][/ROW]
[ROW][C]312[/C][C]6[/C][C]2.32476494455738[/C][C]3.67523505544262[/C][/ROW]
[ROW][C]313[/C][C]3[/C][C]5.04701971714885[/C][C]-2.04701971714885[/C][/ROW]
[ROW][C]314[/C][C]2[/C][C]5.04701971714885[/C][C]-3.04701971714885[/C][/ROW]
[ROW][C]315[/C][C]2[/C][C]5.04701971714885[/C][C]-3.04701971714885[/C][/ROW]
[ROW][C]316[/C][C]2[/C][C]2.32476494455738[/C][C]-0.324764944557376[/C][/ROW]
[ROW][C]317[/C][C]0[/C][C]3.80923509675308[/C][C]-3.80923509675308[/C][/ROW]
[ROW][C]318[/C][C]0[/C][C]3.40105107253271[/C][C]-3.40105107253271[/C][/ROW]
[ROW][C]319[/C][C]4[/C][C]3.40105107253271[/C][C]0.59894892746729[/C][/ROW]
[ROW][C]320[/C][C]0[/C][C]4.40138143300936[/C][C]-4.40138143300936[/C][/ROW]
[ROW][C]321[/C][C]3[/C][C]3.40105107253271[/C][C]-0.401051072532708[/C][/ROW]
[ROW][C]322[/C][C]0[/C][C]4.81597185322789[/C][C]-4.81597185322789[/C][/ROW]
[ROW][C]323[/C][C]1[/C][C]4.73251530219202[/C][C]-3.73251530219202[/C][/ROW]
[ROW][C]324[/C][C]1[/C][C]3.40105107253271[/C][C]-2.40105107253271[/C][/ROW]
[ROW][C]325[/C][C]2[/C][C]3.40105107253271[/C][C]-1.40105107253271[/C][/ROW]
[ROW][C]326[/C][C]7[/C][C]3.40105107253271[/C][C]3.59894892746729[/C][/ROW]
[ROW][C]327[/C][C]3[/C][C]3.40105107253271[/C][C]-0.401051072532708[/C][/ROW]
[ROW][C]328[/C][C]0[/C][C]3.40105107253271[/C][C]-3.40105107253271[/C][/ROW]
[ROW][C]329[/C][C]2[/C][C]3.34213348110115[/C][C]-1.34213348110115[/C][/ROW]
[ROW][C]330[/C][C]1[/C][C]1.74882245670488[/C][C]-0.748822456704877[/C][/ROW]
[ROW][C]331[/C][C]2[/C][C]1.74882245670488[/C][C]0.251177543295122[/C][/ROW]
[ROW][C]332[/C][C]5[/C][C]3.42559003213702[/C][C]1.57440996786298[/C][/ROW]
[ROW][C]333[/C][C]6[/C][C]8.03206337194064[/C][C]-2.03206337194064[/C][/ROW]
[ROW][C]334[/C][C]4[/C][C]4.51803455769545[/C][C]-0.51803455769545[/C][/ROW]
[ROW][C]335[/C][C]1[/C][C]3.34213348110115[/C][C]-2.34213348110115[/C][/ROW]
[ROW][C]336[/C][C]3[/C][C]4.51803455769545[/C][C]-1.51803455769545[/C][/ROW]
[ROW][C]337[/C][C]0[/C][C]3.40105107253271[/C][C]-3.40105107253271[/C][/ROW]
[ROW][C]338[/C][C]2[/C][C]5.49382595856779[/C][C]-3.49382595856779[/C][/ROW]
[ROW][C]339[/C][C]4[/C][C]5.41112968787715[/C][C]-1.41112968787715[/C][/ROW]
[ROW][C]340[/C][C]2[/C][C]7.83195369621869[/C][C]-5.83195369621869[/C][/ROW]
[ROW][C]341[/C][C]2[/C][C]8.24654411643721[/C][C]-6.24654411643721[/C][/ROW]
[ROW][C]342[/C][C]4[/C][C]4.11458061535171[/C][C]-0.114580615351713[/C][/ROW]
[ROW][C]343[/C][C]1[/C][C]1.74882245670488[/C][C]-0.748822456704877[/C][/ROW]
[ROW][C]344[/C][C]1[/C][C]0.0387138624995398[/C][C]0.96128613750046[/C][/ROW]
[ROW][C]345[/C][C]3[/C][C]3.40105107253271[/C][C]-0.401051072532708[/C][/ROW]
[ROW][C]346[/C][C]12[/C][C]3.40105107253271[/C][C]8.59894892746729[/C][/ROW]
[ROW][C]347[/C][C]1[/C][C]3.40105107253271[/C][C]-2.40105107253271[/C][/ROW]
[ROW][C]348[/C][C]7[/C][C]4.26255807633556[/C][C]2.73744192366444[/C][/ROW]
[ROW][C]349[/C][C]2[/C][C]4.5387200892344[/C][C]-2.5387200892344[/C][/ROW]
[ROW][C]350[/C][C]0[/C][C]3.40105107253271[/C][C]-3.40105107253271[/C][/ROW]
[ROW][C]351[/C][C]0[/C][C]4.97608761915456[/C][C]-4.97608761915456[/C][/ROW]
[ROW][C]352[/C][C]4[/C][C]0.430012309812978[/C][C]3.56998769018702[/C][/ROW]
[ROW][C]353[/C][C]4[/C][C]2.98646065231418[/C][C]1.01353934768582[/C][/ROW]
[ROW][C]354[/C][C]3[/C][C]1.74882245670488[/C][C]1.25117754329512[/C][/ROW]
[ROW][C]355[/C][C]6[/C][C]3.40105107253271[/C][C]2.59894892746729[/C][/ROW]
[ROW][C]356[/C][C]0[/C][C]1.74882245670488[/C][C]-1.74882245670488[/C][/ROW]
[ROW][C]357[/C][C]5[/C][C]4.5387200892344[/C][C]0.461279910765603[/C][/ROW]
[ROW][C]358[/C][C]0[/C][C]3.40105107253271[/C][C]-3.40105107253271[/C][/ROW]
[ROW][C]359[/C][C]3[/C][C]2.98646065231418[/C][C]0.0135393476858198[/C][/ROW]
[ROW][C]360[/C][C]7[/C][C]2.09313714873768[/C][C]4.90686285126232[/C][/ROW]
[ROW][C]361[/C][C]10[/C][C]2.90300410127831[/C][C]7.09699589872169[/C][/ROW]
[ROW][C]362[/C][C]6[/C][C]2.90300410127831[/C][C]3.09699589872169[/C][/ROW]
[ROW][C]363[/C][C]6[/C][C]3.02240670798668[/C][C]2.97759329201332[/C][/ROW]
[ROW][C]364[/C][C]1[/C][C]3.02240670798668[/C][C]-2.02240670798668[/C][/ROW]
[ROW][C]365[/C][C]2[/C][C]4.26849637233034[/C][C]-2.26849637233034[/C][/ROW]
[ROW][C]366[/C][C]9[/C][C]4.26849637233034[/C][C]4.73150362766966[/C][/ROW]
[ROW][C]367[/C][C]0[/C][C]3.02240670798668[/C][C]-3.02240670798668[/C][/ROW]
[ROW][C]368[/C][C]5[/C][C]4.26849637233034[/C][C]0.731503627669658[/C][/ROW]
[ROW][C]369[/C][C]1[/C][C]3.02240670798668[/C][C]-2.02240670798668[/C][/ROW]
[ROW][C]370[/C][C]2[/C][C]3.84796765611703[/C][C]-1.84796765611703[/C][/ROW]
[ROW][C]371[/C][C]1[/C][C]4.5387200892344[/C][C]-3.5387200892344[/C][/ROW]
[ROW][C]372[/C][C]2[/C][C]3.84796765611703[/C][C]-1.84796765611703[/C][/ROW]
[ROW][C]373[/C][C]4[/C][C]3.84796765611703[/C][C]0.152032343882971[/C][/ROW]
[ROW][C]374[/C][C]2[/C][C]3.84796765611703[/C][C]-1.84796765611703[/C][/ROW]
[ROW][C]375[/C][C]8[/C][C]4.5387200892344[/C][C]3.4612799107656[/C][/ROW]
[ROW][C]376[/C][C]4[/C][C]4.5387200892344[/C][C]-0.538720089234397[/C][/ROW]
[ROW][C]377[/C][C]11[/C][C]6.88755473239493[/C][C]4.11244526760507[/C][/ROW]
[ROW][C]378[/C][C]12[/C][C]9.00785477281298[/C][C]2.99214522718702[/C][/ROW]
[ROW][C]379[/C][C]10[/C][C]5.57728250960366[/C][C]4.42271749039634[/C][/ROW]
[ROW][C]380[/C][C]11[/C][C]5.57728250960366[/C][C]5.42271749039634[/C][/ROW]
[ROW][C]381[/C][C]5[/C][C]5.57728250960366[/C][C]-0.577282509603656[/C][/ROW]
[ROW][C]382[/C][C]8[/C][C]7.52856332235418[/C][C]0.471436677645823[/C][/ROW]
[ROW][C]383[/C][C]8[/C][C]7.52856332235418[/C][C]0.471436677645823[/C][/ROW]
[ROW][C]384[/C][C]10[/C][C]6.17402518957592[/C][C]3.82597481042408[/C][/ROW]
[ROW][C]385[/C][C]4[/C][C]6.17402518957592[/C][C]-2.17402518957592[/C][/ROW]
[ROW][C]386[/C][C]3[/C][C]5.49382595856779[/C][C]-2.49382595856779[/C][/ROW]
[ROW][C]387[/C][C]10[/C][C]8.24209286517318[/C][C]1.75790713482682[/C][/ROW]
[ROW][C]388[/C][C]9[/C][C]6.88755473239493[/C][C]2.11244526760507[/C][/ROW]
[ROW][C]389[/C][C]11[/C][C]5.57728250960366[/C][C]5.42271749039634[/C][/ROW]
[ROW][C]390[/C][C]9[/C][C]5.57728250960366[/C][C]3.42271749039634[/C][/ROW]
[ROW][C]391[/C][C]5[/C][C]5.57728250960366[/C][C]-0.577282509603656[/C][/ROW]
[ROW][C]392[/C][C]8[/C][C]5.49382595856779[/C][C]2.50617404143221[/C][/ROW]
[ROW][C]393[/C][C]10[/C][C]5.57728250960366[/C][C]4.42271749039634[/C][/ROW]
[ROW][C]394[/C][C]5[/C][C]7.27119979701099[/C][C]-2.27119979701099[/C][/ROW]
[ROW][C]395[/C][C]8[/C][C]7.27119979701099[/C][C]0.728800202989012[/C][/ROW]
[ROW][C]396[/C][C]10[/C][C]8.24209286517318[/C][C]1.75790713482682[/C][/ROW]
[ROW][C]397[/C][C]7[/C][C]5.49382595856779[/C][C]1.50617404143221[/C][/ROW]
[ROW][C]398[/C][C]2[/C][C]4.73251530219202[/C][C]-2.73251530219202[/C][/ROW]
[ROW][C]399[/C][C]7[/C][C]4.73251530219202[/C][C]2.26748469780798[/C][/ROW]
[ROW][C]400[/C][C]2[/C][C]5.44604484501103[/C][C]-3.44604484501103[/C][/ROW]
[ROW][C]401[/C][C]5[/C][C]4.73251530219202[/C][C]0.26748469780798[/C][/ROW]
[ROW][C]402[/C][C]5[/C][C]4.73251530219202[/C][C]0.26748469780798[/C][/ROW]
[ROW][C]403[/C][C]4[/C][C]4.60149110873132[/C][C]-0.601491108731316[/C][/ROW]
[ROW][C]404[/C][C]2[/C][C]5.5295013960469[/C][C]-3.5295013960469[/C][/ROW]
[ROW][C]405[/C][C]1[/C][C]5.5295013960469[/C][C]-4.5295013960469[/C][/ROW]
[ROW][C]406[/C][C]3[/C][C]4.60149110873131[/C][C]-1.60149110873131[/C][/ROW]
[ROW][C]407[/C][C]5[/C][C]8.03206337194064[/C][C]-3.03206337194064[/C][/ROW]
[ROW][C]408[/C][C]2[/C][C]8.03206337194064[/C][C]-6.03206337194064[/C][/ROW]
[ROW][C]409[/C][C]9[/C][C]8.03206337194064[/C][C]0.967936628059357[/C][/ROW]
[ROW][C]410[/C][C]2[/C][C]4.26849637233034[/C][C]-2.26849637233034[/C][/ROW]
[ROW][C]411[/C][C]0[/C][C]4.22382551697161[/C][C]-4.22382551697161[/C][/ROW]
[ROW][C]412[/C][C]0[/C][C]2.82582305713526[/C][C]-2.82582305713526[/C][/ROW]
[ROW][C]413[/C][C]2[/C][C]4.5151440008266[/C][C]-2.5151440008266[/C][/ROW]
[ROW][C]414[/C][C]0[/C][C]4.5151440008266[/C][C]-4.5151440008266[/C][/ROW]
[ROW][C]415[/C][C]0[/C][C]4.22382551697161[/C][C]-4.22382551697161[/C][/ROW]
[ROW][C]416[/C][C]0[/C][C]4.22382551697161[/C][C]-4.22382551697161[/C][/ROW]
[ROW][C]417[/C][C]0[/C][C]5.44604484501103[/C][C]-5.44604484501103[/C][/ROW]
[ROW][C]418[/C][C]0[/C][C]5.44604484501103[/C][C]-5.44604484501103[/C][/ROW]
[ROW][C]419[/C][C]0[/C][C]5.44604484501103[/C][C]-5.44604484501103[/C][/ROW]
[ROW][C]420[/C][C]2[/C][C]5.5295013960469[/C][C]-3.5295013960469[/C][/ROW]
[ROW][C]421[/C][C]1[/C][C]5.5295013960469[/C][C]-4.5295013960469[/C][/ROW]
[ROW][C]422[/C][C]1[/C][C]5.44604484501103[/C][C]-4.44604484501103[/C][/ROW]
[ROW][C]423[/C][C]0[/C][C]5.43582980725447[/C][C]-5.43582980725447[/C][/ROW]
[ROW][C]424[/C][C]3[/C][C]6.76918302422518[/C][C]-3.76918302422518[/C][/ROW]
[ROW][C]425[/C][C]2[/C][C]5.87319733717464[/C][C]-3.87319733717464[/C][/ROW]
[ROW][C]426[/C][C]4[/C][C]5.43582980725447[/C][C]-1.43582980725447[/C][/ROW]
[ROW][C]427[/C][C]3[/C][C]10.102295441803[/C][C]-7.10229544180303[/C][/ROW]
[ROW][C]428[/C][C]1[/C][C]5.047920504547[/C][C]-4.047920504547[/C][/ROW]
[ROW][C]429[/C][C]16[/C][C]8.52270612933606[/C][C]7.47729387066394[/C][/ROW]
[ROW][C]430[/C][C]6[/C][C]6.64033074154512[/C][C]-0.640330741545123[/C][/ROW]
[ROW][C]431[/C][C]9[/C][C]5.43582980725447[/C][C]3.56417019274553[/C][/ROW]
[ROW][C]432[/C][C]9[/C][C]6.88755473239493[/C][C]2.11244526760507[/C][/ROW]
[ROW][C]433[/C][C]0[/C][C]5.02386873271132[/C][C]-5.02386873271132[/C][/ROW]
[ROW][C]434[/C][C]9[/C][C]5.87319733717464[/C][C]3.12680266282536[/C][/ROW]
[ROW][C]435[/C][C]8[/C][C]5.81169307335204[/C][C]2.18830692664796[/C][/ROW]
[ROW][C]436[/C][C]0[/C][C]5.44604484501103[/C][C]-5.44604484501103[/C][/ROW]
[ROW][C]437[/C][C]1[/C][C]6.82605046857234[/C][C]-5.82605046857234[/C][/ROW]
[ROW][C]438[/C][C]12[/C][C]9.53864193769862[/C][C]2.46135806230138[/C][/ROW]
[ROW][C]439[/C][C]10[/C][C]6.93533584595169[/C][C]3.06466415404831[/C][/ROW]
[ROW][C]440[/C][C]7[/C][C]5.02386873271132[/C][C]1.97613126728868[/C][/ROW]
[ROW][C]441[/C][C]13[/C][C]6.64033074154512[/C][C]6.35966925845488[/C][/ROW]
[ROW][C]442[/C][C]16[/C][C]6.64033074154513[/C][C]9.35966925845487[/C][/ROW]
[ROW][C]443[/C][C]6[/C][C]1.79371301339279[/C][C]4.20628698660721[/C][/ROW]
[ROW][C]444[/C][C]7[/C][C]4.73251530219202[/C][C]2.26748469780798[/C][/ROW]
[ROW][C]445[/C][C]5[/C][C]4.07890517787261[/C][C]0.921094822127395[/C][/ROW]
[ROW][C]446[/C][C]9[/C][C]8.03206337194064[/C][C]0.967936628059357[/C][/ROW]
[ROW][C]447[/C][C]11[/C][C]8.96007365925622[/C][C]2.03992634074378[/C][/ROW]
[ROW][C]448[/C][C]11[/C][C]8.24209286517318[/C][C]2.75790713482682[/C][/ROW]
[ROW][C]449[/C][C]13[/C][C]5.81169307335204[/C][C]7.18830692664796[/C][/ROW]
[ROW][C]450[/C][C]13[/C][C]7.27119979701099[/C][C]5.72880020298901[/C][/ROW]
[ROW][C]451[/C][C]0[/C][C]5.02386873271132[/C][C]-5.02386873271132[/C][/ROW]
[ROW][C]452[/C][C]12[/C][C]6.64033074154512[/C][C]5.35966925845488[/C][/ROW]
[ROW][C]453[/C][C]12[/C][C]5.49382595856779[/C][C]6.50617404143221[/C][/ROW]
[ROW][C]454[/C][C]2[/C][C]5.44604484501103[/C][C]-3.44604484501103[/C][/ROW]
[ROW][C]455[/C][C]2[/C][C]6.93533584595169[/C][C]-4.93533584595169[/C][/ROW]
[ROW][C]456[/C][C]12[/C][C]6.83383226709082[/C][C]5.16616773290918[/C][/ROW]
[ROW][C]457[/C][C]7[/C][C]5.57728250960366[/C][C]1.42271749039634[/C][/ROW]
[ROW][C]458[/C][C]1[/C][C]4.31792488197349[/C][C]-3.31792488197349[/C][/ROW]
[ROW][C]459[/C][C]0[/C][C]5.75482562900489[/C][C]-5.75482562900489[/C][/ROW]
[ROW][C]460[/C][C]6[/C][C]5.44604484501103[/C][C]0.553955154988973[/C][/ROW]
[ROW][C]461[/C][C]14[/C][C]6.64033074154512[/C][C]7.35966925845488[/C][/ROW]
[ROW][C]462[/C][C]10[/C][C]6.93533584595169[/C][C]3.06466415404831[/C][/ROW]
[ROW][C]463[/C][C]11[/C][C]6.94267313929139[/C][C]4.05732686070861[/C][/ROW]
[ROW][C]464[/C][C]4[/C][C]4.07777647090644[/C][C]-0.0777764709064363[/C][/ROW]
[ROW][C]465[/C][C]8[/C][C]4.07890517787261[/C][C]3.92109482212739[/C][/ROW]
[ROW][C]466[/C][C]12[/C][C]4.51803455769545[/C][C]7.48196544230455[/C][/ROW]
[ROW][C]467[/C][C]0[/C][C]9.00785477281298[/C][C]-9.00785477281298[/C][/ROW]
[ROW][C]468[/C][C]10[/C][C]5.81169307335204[/C][C]4.18830692664796[/C][/ROW]
[ROW][C]469[/C][C]14[/C][C]9.53864193769862[/C][C]4.46135806230138[/C][/ROW]
[ROW][C]470[/C][C]12[/C][C]6.83383226709082[/C][C]5.16616773290918[/C][/ROW]
[ROW][C]471[/C][C]1[/C][C]4.81597185322789[/C][C]-3.81597185322789[/C][/ROW]
[ROW][C]472[/C][C]0[/C][C]8.744242105455[/C][C]-8.744242105455[/C][/ROW]
[ROW][C]473[/C][C]9[/C][C]5.5295013960469[/C][C]3.4704986039531[/C][/ROW]
[ROW][C]474[/C][C]12[/C][C]1.79371301339279[/C][C]10.2062869866072[/C][/ROW]
[ROW][C]475[/C][C]9[/C][C]8.24209286517318[/C][C]0.757907134826817[/C][/ROW]
[ROW][C]476[/C][C]6[/C][C]8.96007365925622[/C][C]-2.96007365925622[/C][/ROW]
[ROW][C]477[/C][C]12[/C][C]6.83383226709082[/C][C]5.16616773290918[/C][/ROW]
[ROW][C]478[/C][C]17[/C][C]6.93533584595169[/C][C]10.0646641540483[/C][/ROW]
[ROW][C]479[/C][C]10[/C][C]7.27119979701099[/C][C]2.72880020298901[/C][/ROW]
[ROW][C]480[/C][C]12[/C][C]8.24209286517318[/C][C]3.75790713482682[/C][/ROW]
[ROW][C]481[/C][C]19[/C][C]6.64033074154513[/C][C]12.3596692584549[/C][/ROW]
[ROW][C]482[/C][C]12[/C][C]5.58461980294336[/C][C]6.41538019705664[/C][/ROW]
[ROW][C]483[/C][C]11[/C][C]8.24654411643721[/C][C]2.75345588356279[/C][/ROW]
[ROW][C]484[/C][C]9[/C][C]8.744242105455[/C][C]0.255757894545003[/C][/ROW]
[ROW][C]485[/C][C]5[/C][C]4.16236172890847[/C][C]0.837638271091527[/C][/ROW]
[ROW][C]486[/C][C]12[/C][C]6.45018720247476[/C][C]5.54981279752524[/C][/ROW]
[ROW][C]487[/C][C]5[/C][C]6.83383226709082[/C][C]-1.83383226709082[/C][/ROW]
[ROW][C]488[/C][C]5[/C][C]8.24209286517318[/C][C]-3.24209286517318[/C][/ROW]
[ROW][C]489[/C][C]10[/C][C]8.744242105455[/C][C]1.255757894545[/C][/ROW]
[ROW][C]490[/C][C]9[/C][C]5.43582980725447[/C][C]3.56417019274553[/C][/ROW]
[ROW][C]491[/C][C]9[/C][C]10.0407911779804[/C][C]-1.04079117798043[/C][/ROW]
[ROW][C]492[/C][C]14[/C][C]4.51514400082661[/C][C]9.48485599917339[/C][/ROW]
[ROW][C]493[/C][C]22[/C][C]8.96007365925622[/C][C]13.0399263407438[/C][/ROW]
[ROW][C]494[/C][C]17[/C][C]8.744242105455[/C][C]8.255757894545[/C][/ROW]
[ROW][C]495[/C][C]13[/C][C]6.93533584595169[/C][C]6.06466415404831[/C][/ROW]
[ROW][C]496[/C][C]8[/C][C]4.51803455769545[/C][C]3.48196544230455[/C][/ROW]
[ROW][C]497[/C][C]0[/C][C]4.07890517787261[/C][C]-4.07890517787261[/C][/ROW]
[ROW][C]498[/C][C]12[/C][C]5.00867731509086[/C][C]6.99132268490914[/C][/ROW]
[ROW][C]499[/C][C]0[/C][C]5.43582980725447[/C][C]-5.43582980725447[/C][/ROW]
[ROW][C]500[/C][C]3[/C][C]8.68737466110785[/C][C]-5.68737466110785[/C][/ROW]
[ROW][C]501[/C][C]4[/C][C]8.24209286517318[/C][C]-4.24209286517318[/C][/ROW]
[ROW][C]502[/C][C]10[/C][C]8.24209286517318[/C][C]1.75790713482682[/C][/ROW]
[ROW][C]503[/C][C]10[/C][C]8.24209286517318[/C][C]1.75790713482682[/C][/ROW]
[ROW][C]504[/C][C]12[/C][C]9.00785477281298[/C][C]2.99214522718702[/C][/ROW]
[ROW][C]505[/C][C]14[/C][C]8.24209286517318[/C][C]5.75790713482682[/C][/ROW]
[ROW][C]506[/C][C]14[/C][C]6.64033074154512[/C][C]7.35966925845488[/C][/ROW]
[ROW][C]507[/C][C]5[/C][C]5.44604484501103[/C][C]-0.446044845011027[/C][/ROW]
[ROW][C]508[/C][C]15[/C][C]5.91314646066295[/C][C]9.08685353933705[/C][/ROW]
[ROW][C]509[/C][C]7[/C][C]6.83383226709082[/C][C]0.166167732909179[/C][/ROW]
[ROW][C]510[/C][C]15[/C][C]5.87319733717464[/C][C]9.12680266282536[/C][/ROW]
[ROW][C]511[/C][C]15[/C][C]6.88755473239493[/C][C]8.11244526760507[/C][/ROW]
[ROW][C]512[/C][C]11[/C][C]5.00867731509086[/C][C]5.99132268490914[/C][/ROW]
[ROW][C]513[/C][C]2[/C][C]3.02240670798668[/C][C]-1.02240670798668[/C][/ROW]
[ROW][C]514[/C][C]1[/C][C]3.02240670798668[/C][C]-2.02240670798668[/C][/ROW]
[ROW][C]515[/C][C]5[/C][C]3.02240670798668[/C][C]1.97759329201332[/C][/ROW]
[ROW][C]516[/C][C]5[/C][C]3.02240670798668[/C][C]1.97759329201332[/C][/ROW]
[ROW][C]517[/C][C]4[/C][C]1.74882245670488[/C][C]2.25117754329512[/C][/ROW]
[ROW][C]518[/C][C]7[/C][C]1.74882245670488[/C][C]5.25117754329512[/C][/ROW]
[ROW][C]519[/C][C]5[/C][C]1.74882245670488[/C][C]3.25117754329512[/C][/ROW]
[ROW][C]520[/C][C]4[/C][C]1.74882245670488[/C][C]2.25117754329512[/C][/ROW]
[ROW][C]521[/C][C]2[/C][C]3.02240670798668[/C][C]-1.02240670798668[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203022&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203022&T=4

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
186.781837106992541.21816289300746
296.781837106992612.21816289300739
388.56774886953642-0.567748869536419
458.12372115700343-3.12372115700343
5310.102295441803-7.10229544180304
645.13000337613318-1.13000337613318
725.13000337613318-3.13000337613318
812.96058244853532-1.96058244853532
932.960582448535310.0394175514646925
1062.960582448535323.03941755146468
1112.96058244853531-1.96058244853531
1255.1300033761332-0.130003376133195
1305.49382595856779-5.49382595856779
1411.74882245670488-0.748822456704877
1550.4300123098129824.56998769018702
1626.06976844642029-4.06976844642029
1753.342133481101151.65786651889885
1825.26285127095007-3.26285127095007
1926.85616229534635-4.85616229534635
2000.0387138624995411-0.0387138624995411
2133.34213348110116-0.34213348110116
2229.00785477281299-7.00785477281299
2326.06976844642029-4.06976844642029
2425.49382595856779-3.49382595856779
2525.57728250960366-3.57728250960366
2636.85616229534635-3.85616229534635
2725.26285127095007-3.26285127095007
2804.31792488197349-4.31792488197349
2911.74882245670488-0.748822456704877
3075.0479205045471.952079495453
3134.65662205723356-1.65662205723356
3224.65662205723356-2.65662205723356
3344.77175849164816-0.771758491648159
3425.047920504547-3.047920504547
3545.047920504547-1.047920504547
3605.43582980725447-5.43582980725447
3705.15966779435563-5.15966779435563
3825.43582980725447-3.43582980725447
3935.43582980725447-2.43582980725447
4035.15966779435563-2.15966779435563
41144.262558076335569.73744192366444
42134.262558076335568.73744192366444
4323.71508259543801-1.71508259543801
4453.784696137148761.21530386285124
4523.71508259543801-1.71508259543801
4653.237220656251211.76277934374879
4723.23722065625121-1.23722065625121
4833.71508259543801-0.715082595438009
4925.26285127095007-3.26285127095007
5025.26285127095007-3.26285127095007
5145.26285127095007-1.26285127095007
5291.748822456704887.25117754329512
5337.83195369621869-4.83195369621869
5435.26285127095007-2.26285127095007
5587.831953696218690.168046303781315
56109.007854772812980.992145227187018
5795.493825958567793.50617404143221
5864.732515302192021.26748469780798
5911.74882245670488-0.748822456704877
6035.44604484501103-2.44604484501103
6125.26285127095007-3.26285127095007
6202.72461385757722-2.72461385757722
6338.96007365925622-5.96007365925622
6426.23864267182241-4.23864267182241
6504.31792488197349-4.31792488197349
6695.446044845011033.55395515498897
6743.342133481101150.657866518898848
6875.446044845011031.55395515498897
6912.72461385757722-1.72461385757722
7006.23864267182241-6.23864267182241
7124.73251530219202-2.73251530219202
7231.748822456704881.25117754329512
7314.31792488197349-3.31792488197349
7457.97384511828884-2.97384511828884
7515.48528803446717-4.48528803446717
7682.965539263639535.03446073636047
7749.53864193769862-5.53864193769862
7848.12372115700343-4.12372115700343
7985.366916326297422.63308367370258
8098.242092865173180.757907134826817
81105.435829807254474.56417019274553
823611.398844514328524.6011554856715
83107.380040669211562.61995933078844
8466.45018720247476-0.450187202474764
8516.76918302422518-5.76918302422518
8625.43582980725447-3.43582980725447
8769.66492791188287-3.66492791188287
8886.769183024225181.23081697577482
8996.113642541658992.88635745834101
9095.366916326297423.63308367370258
9124.75910440888074-2.75910440888074
92110.102295441803-9.10229544180303
9384.975617878983973.02438212101603
94610.102295441803-4.10229544180303
9573.744747013660453.25525298633955
96610.102295441803-4.10229544180303
9756.45018720247476-1.45018720247476
9818.28987397872994-7.28987397872994
9937.27119979701099-4.27119979701099
10082.965539263639535.03446073636047
10135.43582980725447-2.43582980725447
102411.3988445143285-7.39884451432847
103108.289873978729941.71012602127006
10476.833832267090820.166167732909179
10554.975617878983970.0243821210160269
10647.97384511828884-3.97384511828884
10745.36691632629742-1.36691632629742
108511.3988445143285-6.39884451432847
10974.759104408880742.24089559111926
11026.39053865967916-4.39053865967916
11196.769183024225182.23081697577482
11247.27119979701099-3.27119979701099
11396.113642541658992.88635745834101
11464.89740593630231.1025940636977
11585.446044845011032.55395515498897
11624.73251530219202-2.73251530219202
11715.44604484501103-4.44604484501103
11833.02240670798668-0.0224067079866818
11943.022406707986680.977593292013317
12033.02240670798668-0.0224067079866818
12135.44604484501103-2.44604484501103
12223.41370515530012-1.41370515530012
12323.02240670798668-1.02240670798668
12443.022406707986680.977593292013317
12524.31792488197349-2.31792488197349
12633.02240670798668-0.0224067079866818
12734.31792488197349-1.31792488197349
12834.81597185322789-1.81597185322789
12934.81597185322789-1.81597185322789
13065.0479205045470.952079495453002
13175.418911486395641.58108851360436
13265.418911486395630.581088513604365
13395.873197337174643.12680266282536
13406.88755473239494-6.88755473239494
13517.80472533525302-6.80472533525302
13685.873197337174642.12680266282536
13796.887554732394932.11244526760507
138610.102295441803-4.10229544180303
139118.250007131187682.74999286881232
14036.83383226709082-3.83383226709082
14167.80472533525302-1.80472533525302
14266.89195379483964-0.891953794839645
14386.833832267090821.16616773290918
144125.52950139604696.4704986039531
14518.96007365925622-7.96007365925622
14695.446044845011033.55395515498897
147105.0479205045474.952079495453
14854.656622057233560.343377942766443
14936.88755473239493-3.88755473239493
15056.06976844642028-1.06976844642028
1511110.1022954418030.897704558196968
15275.446044845011031.55395515498897
15395.493825958567793.50617404143221
154216.7425939175364614.2574060824635
155126.742593917536465.25740608246354
15633.75672390131968-0.756723901319679
15753.847967656117031.15203234388297
158113.847967656117037.15203234388297
15943.847967656117030.152032343882971
160118.246544116437212.75345588356279
161188.246544116437229.75345588356278
16268.96007365925622-2.96007365925622
16388.96007365925622-0.960073659256221
16487.831953696218690.168046303781315
165128.960073659256223.03992634074378
16658.24654411643721-3.24654411643721
16728.24654411643721-6.24654411643721
16837.83195369621869-4.83195369621869
169117.831953696218693.16804630378131
170268.9600736592562117.0399263407438
17128.24654411643721-6.24654411643721
17225.57728250960366-3.57728250960366
17385.308457790044522.69154220995548
174157.831953696218697.16804630378131
175187.8319536962186910.1680463037813
176104.401381433009365.59861856699064
17728.96007365925622-6.96007365925622
17867.83195369621869-1.83195369621869
17978.24654411643722-1.24654411643722
180168.246544116437227.75345588356278
181238.2465441164372114.7534558835628
18224.40138143300936-2.40138143300936
18318.24654411643721-7.24654411643721
18477.83195369621869-0.831953696218686
185108.246544116437211.75345588356279
186138.246544116437214.75345588356279
187118.960073659256222.03992634074378
18876.742593917536460.257406082463538
189197.8319536962186911.1680463037813
19044.40138143300936-0.40138143300936
19158.24654411643721-3.24654411643721
192248.9600736592562215.0399263407438
193105.446044845011034.55395515498897
194138.246544116437214.75345588356279
195107.831953696218692.16804630378131
196118.960073659256222.03992634074378
197144.401381433009379.59861856699063
19877.83195369621869-0.831953696218686
199128.246544116437223.75345588356278
20086.742593917536461.25740608246354
20165.446044845011030.553955154988973
20218.24654411643721-7.24654411643721
20368.24654411643722-2.24654411643722
20488.96007365925622-0.960073659256221
20568.24654411643722-2.24654411643722
20624.40138143300936-2.40138143300936
207208.9600736592562311.0399263407438
208138.246544116437214.75345588356279
209188.246544116437229.75345588356278
21038.24654411643721-5.24654411643721
211158.246544116437226.75345588356278
21245.57728250960366-1.57728250960366
21368.96007365925622-2.96007365925622
214117.831953696218693.16804630378131
21545.57728250960366-1.57728250960366
216248.2465441164372115.7534558835628
21778.96007365925622-1.96007365925622
218148.246544116437225.75345588356278
219168.246544116437227.75345588356278
22098.246544116437210.753455883562786
22115.30845779004452-4.30845779004452
22225.30845779004452-3.30845779004452
22303.40105107253271-3.40105107253271
22403.40105107253271-3.40105107253271
22503.41370515530012-3.41370515530012
22606.74259391753646-6.74259391753646
22713.41370515530012-2.41370515530012
22854.114580615351710.885419384648287
22903.40105107253271-3.40105107253271
23026.74259391753646-4.74259391753646
23135.30845779004452-2.30845779004452
23244.11458061535171-0.114580615351713
23313.40105107253271-2.40105107253271
234104.114580615351715.88541938464829
23513.40105107253271-2.40105107253271
23603.40105107253271-3.40105107253271
23706.74259391753646-6.74259391753646
23803.68986716819896-3.68986716819896
23902.53226652856053-2.53226652856053
24035.09213386612673-2.09213386612673
24115.47577893074278-4.47577893074278
24251.748822456704883.25117754329512
24315.47577893074278-4.47577893074278
24445.04701971714885-1.04701971714885
24512.53226652856053-1.53226652856053
24645.04701971714885-1.04701971714885
24733.40105107253271-0.401051072532708
2482517.66666666666677.33333333333334
2491017.6666666666667-7.66666666666667
2501917.66666666666671.33333333333333
2511617.6666666666667-1.66666666666667
2521417.6666666666667-3.66666666666666
2531017.6666666666667-7.66666666666667
2541217.6666666666667-5.66666666666667
2552017.66666666666672.33333333333333
2562217.66666666666674.33333333333334
2571317.6666666666667-4.66666666666666
2581717.6666666666667-0.666666666666667
2593417.666666666666716.3333333333333
260134.268496372330348.73150362766966
26154.268496372330340.731503627669658
26264.268496372330341.73150362766966
26314.26849637233034-3.26849637233034
26487.831953696218690.168046303781315
26545.09213386612673-1.09213386612673
26654.51514400082660.484855999173397
26784.317924881973493.68207511802651
26864.51514400082661.4848559991734
26988.24654411643721-0.246544116437214
27026.85616229534635-4.85616229534635
27106.85616229534635-6.85616229534635
27213.42559003213702-2.42559003213702
273105.960927574219714.03907242578029
27405.96092757421971-5.96092757421971
27514.31792488197349-3.31792488197349
27683.387024037789074.61297596221093
27775.960927574219711.03907242578029
27885.008677315090862.99132268490914
27944.51803455769545-0.51803455769545
28013.73593625080569-2.73593625080569
28197.816231818139421.18376818186058
28284.51514400082663.4848559991734
28338.96007365925622-5.96007365925622
28458.96007365925622-3.96007365925622
28507.83195369621869-7.83195369621869
28613.75672390131968-2.75672390131968
28717.83195369621869-6.83195369621869
28832.607816287768150.392183712231849
28957.83195369621869-2.83195369621869
29077.83195369621869-0.831953696218686
29117.83195369621869-6.83195369621869
29227.83195369621869-5.83195369621869
293138.960073659256224.03992634074378
29448.96007365925622-4.96007365925622
29503.38702403778907-3.38702403778907
29643.387024037789070.612975962210932
29713.38702403778907-2.38702403778907
29845.81169307335204-1.81169307335204
29903.38702403778907-3.38702403778907
30005.81169307335204-5.81169307335204
30113.38702403778907-2.38702403778907
30223.38702403778907-1.38702403778907
30303.38702403778907-3.38702403778907
30423.38702403778907-1.38702403778907
30501.74882245670488-1.74882245670488
30663.342133481101152.65786651889885
30745.04701971714885-1.04701971714885
30873.809235096753083.19076490324692
30965.047019717148850.952980282851152
31011.74882245670488-0.748822456704877
31103.34213348110115-3.34213348110115
31262.324764944557383.67523505544262
31335.04701971714885-2.04701971714885
31425.04701971714885-3.04701971714885
31525.04701971714885-3.04701971714885
31622.32476494455738-0.324764944557376
31703.80923509675308-3.80923509675308
31803.40105107253271-3.40105107253271
31943.401051072532710.59894892746729
32004.40138143300936-4.40138143300936
32133.40105107253271-0.401051072532708
32204.81597185322789-4.81597185322789
32314.73251530219202-3.73251530219202
32413.40105107253271-2.40105107253271
32523.40105107253271-1.40105107253271
32673.401051072532713.59894892746729
32733.40105107253271-0.401051072532708
32803.40105107253271-3.40105107253271
32923.34213348110115-1.34213348110115
33011.74882245670488-0.748822456704877
33121.748822456704880.251177543295122
33253.425590032137021.57440996786298
33368.03206337194064-2.03206337194064
33444.51803455769545-0.51803455769545
33513.34213348110115-2.34213348110115
33634.51803455769545-1.51803455769545
33703.40105107253271-3.40105107253271
33825.49382595856779-3.49382595856779
33945.41112968787715-1.41112968787715
34027.83195369621869-5.83195369621869
34128.24654411643721-6.24654411643721
34244.11458061535171-0.114580615351713
34311.74882245670488-0.748822456704877
34410.03871386249953980.96128613750046
34533.40105107253271-0.401051072532708
346123.401051072532718.59894892746729
34713.40105107253271-2.40105107253271
34874.262558076335562.73744192366444
34924.5387200892344-2.5387200892344
35003.40105107253271-3.40105107253271
35104.97608761915456-4.97608761915456
35240.4300123098129783.56998769018702
35342.986460652314181.01353934768582
35431.748822456704881.25117754329512
35563.401051072532712.59894892746729
35601.74882245670488-1.74882245670488
35754.53872008923440.461279910765603
35803.40105107253271-3.40105107253271
35932.986460652314180.0135393476858198
36072.093137148737684.90686285126232
361102.903004101278317.09699589872169
36262.903004101278313.09699589872169
36363.022406707986682.97759329201332
36413.02240670798668-2.02240670798668
36524.26849637233034-2.26849637233034
36694.268496372330344.73150362766966
36703.02240670798668-3.02240670798668
36854.268496372330340.731503627669658
36913.02240670798668-2.02240670798668
37023.84796765611703-1.84796765611703
37114.5387200892344-3.5387200892344
37223.84796765611703-1.84796765611703
37343.847967656117030.152032343882971
37423.84796765611703-1.84796765611703
37584.53872008923443.4612799107656
37644.5387200892344-0.538720089234397
377116.887554732394934.11244526760507
378129.007854772812982.99214522718702
379105.577282509603664.42271749039634
380115.577282509603665.42271749039634
38155.57728250960366-0.577282509603656
38287.528563322354180.471436677645823
38387.528563322354180.471436677645823
384106.174025189575923.82597481042408
38546.17402518957592-2.17402518957592
38635.49382595856779-2.49382595856779
387108.242092865173181.75790713482682
38896.887554732394932.11244526760507
389115.577282509603665.42271749039634
39095.577282509603663.42271749039634
39155.57728250960366-0.577282509603656
39285.493825958567792.50617404143221
393105.577282509603664.42271749039634
39457.27119979701099-2.27119979701099
39587.271199797010990.728800202989012
396108.242092865173181.75790713482682
39775.493825958567791.50617404143221
39824.73251530219202-2.73251530219202
39974.732515302192022.26748469780798
40025.44604484501103-3.44604484501103
40154.732515302192020.26748469780798
40254.732515302192020.26748469780798
40344.60149110873132-0.601491108731316
40425.5295013960469-3.5295013960469
40515.5295013960469-4.5295013960469
40634.60149110873131-1.60149110873131
40758.03206337194064-3.03206337194064
40828.03206337194064-6.03206337194064
40998.032063371940640.967936628059357
41024.26849637233034-2.26849637233034
41104.22382551697161-4.22382551697161
41202.82582305713526-2.82582305713526
41324.5151440008266-2.5151440008266
41404.5151440008266-4.5151440008266
41504.22382551697161-4.22382551697161
41604.22382551697161-4.22382551697161
41705.44604484501103-5.44604484501103
41805.44604484501103-5.44604484501103
41905.44604484501103-5.44604484501103
42025.5295013960469-3.5295013960469
42115.5295013960469-4.5295013960469
42215.44604484501103-4.44604484501103
42305.43582980725447-5.43582980725447
42436.76918302422518-3.76918302422518
42525.87319733717464-3.87319733717464
42645.43582980725447-1.43582980725447
427310.102295441803-7.10229544180303
42815.047920504547-4.047920504547
429168.522706129336067.47729387066394
43066.64033074154512-0.640330741545123
43195.435829807254473.56417019274553
43296.887554732394932.11244526760507
43305.02386873271132-5.02386873271132
43495.873197337174643.12680266282536
43585.811693073352042.18830692664796
43605.44604484501103-5.44604484501103
43716.82605046857234-5.82605046857234
438129.538641937698622.46135806230138
439106.935335845951693.06466415404831
44075.023868732711321.97613126728868
441136.640330741545126.35966925845488
442166.640330741545139.35966925845487
44361.793713013392794.20628698660721
44474.732515302192022.26748469780798
44554.078905177872610.921094822127395
44698.032063371940640.967936628059357
447118.960073659256222.03992634074378
448118.242092865173182.75790713482682
449135.811693073352047.18830692664796
450137.271199797010995.72880020298901
45105.02386873271132-5.02386873271132
452126.640330741545125.35966925845488
453125.493825958567796.50617404143221
45425.44604484501103-3.44604484501103
45526.93533584595169-4.93533584595169
456126.833832267090825.16616773290918
45775.577282509603661.42271749039634
45814.31792488197349-3.31792488197349
45905.75482562900489-5.75482562900489
46065.446044845011030.553955154988973
461146.640330741545127.35966925845488
462106.935335845951693.06466415404831
463116.942673139291394.05732686070861
46444.07777647090644-0.0777764709064363
46584.078905177872613.92109482212739
466124.518034557695457.48196544230455
46709.00785477281298-9.00785477281298
468105.811693073352044.18830692664796
469149.538641937698624.46135806230138
470126.833832267090825.16616773290918
47114.81597185322789-3.81597185322789
47208.744242105455-8.744242105455
47395.52950139604693.4704986039531
474121.7937130133927910.2062869866072
47598.242092865173180.757907134826817
47668.96007365925622-2.96007365925622
477126.833832267090825.16616773290918
478176.9353358459516910.0646641540483
479107.271199797010992.72880020298901
480128.242092865173183.75790713482682
481196.6403307415451312.3596692584549
482125.584619802943366.41538019705664
483118.246544116437212.75345588356279
48498.7442421054550.255757894545003
48554.162361728908470.837638271091527
486126.450187202474765.54981279752524
48756.83383226709082-1.83383226709082
48858.24209286517318-3.24209286517318
489108.7442421054551.255757894545
49095.435829807254473.56417019274553
491910.0407911779804-1.04079117798043
492144.515144000826619.48485599917339
493228.9600736592562213.0399263407438
494178.7442421054558.255757894545
495136.935335845951696.06466415404831
49684.518034557695453.48196544230455
49704.07890517787261-4.07890517787261
498125.008677315090866.99132268490914
49905.43582980725447-5.43582980725447
50038.68737466110785-5.68737466110785
50148.24209286517318-4.24209286517318
502108.242092865173181.75790713482682
503108.242092865173181.75790713482682
504129.007854772812982.99214522718702
505148.242092865173185.75790713482682
506146.640330741545127.35966925845488
50755.44604484501103-0.446044845011027
508155.913146460662959.08685353933705
50976.833832267090820.166167732909179
510155.873197337174649.12680266282536
511156.887554732394938.11244526760507
512115.008677315090865.99132268490914
51323.02240670798668-1.02240670798668
51413.02240670798668-2.02240670798668
51553.022406707986681.97759329201332
51653.022406707986681.97759329201332
51741.748822456704882.25117754329512
51871.748822456704885.25117754329512
51951.748822456704883.25117754329512
52041.748822456704882.25117754329512
52123.02240670798668-1.02240670798668







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
260.2855704095656570.5711408191313150.714429590434343
270.1508870281987570.3017740563975130.849112971801243
280.07273369151950930.1454673830390190.927266308480491
290.03333757773875670.06667515547751350.966662422261243
300.01400562472143440.02801124944286880.985994375278566
310.005702719402140210.01140543880428040.99429728059786
320.002243749280315260.004487498560630530.997756250719685
330.0008087672325374680.001617534465074940.999191232767463
340.001931847296758340.003863694593516690.998068152703242
350.0008417721301359380.001683544260271880.999158227869864
360.0003352193608041820.0006704387216083640.999664780639196
370.0001315708882976280.0002631417765952550.999868429111702
386.29725344663114e-050.0001259450689326230.999937027465534
393.47431022422497e-056.94862044844994e-050.999965256897758
402.27527672258019e-054.55055344516038e-050.999977247232774
419.02568338520364e-061.80513667704073e-050.999990974316615
423.76773839601789e-067.53547679203578e-060.999996232261604
431.33368251020501e-062.66736502041001e-060.99999866631749
444.61225878660774e-079.22451757321548e-070.999999538774121
451.55868102598907e-073.11736205197814e-070.999999844131897
461.46903199281679e-052.93806398563357e-050.999985309680072
476.56810661043076e-061.31362132208615e-050.99999343189339
482.97109389651259e-065.94218779302518e-060.999997028906104
491.26674810617429e-062.53349621234858e-060.999998733251894
505.2814405719273e-071.05628811438546e-060.999999471855943
513.43264984412693e-076.86529968825386e-070.999999656735016
526.36281531676334e-061.27256306335267e-050.999993637184683
535.11754194372436e-061.02350838874487e-050.999994882458056
542.41444283184733e-064.82888566369467e-060.999997585557168
559.12769336753435e-061.82553867350687e-050.999990872306632
568.69577213396654e-050.0001739154426793310.99991304227866
570.0001760883205210740.0003521766410421480.999823911679479
580.0001050563807593810.0002101127615187620.999894943619241
596.37770632178047e-050.0001275541264356090.999936222936782
603.557565957266e-057.115131914532e-050.999964424340427
612.06955926654109e-054.13911853308218e-050.999979304407335
621.34576687762821e-052.69153375525642e-050.999986542331224
637.82183013794815e-061.56436602758963e-050.999992178169862
644.35327499681671e-068.70654999363341e-060.999995646725003
653.16446769129025e-066.32893538258049e-060.999996835532309
667.13094889683331e-061.42618977936666e-050.999992869051103
673.99956817155137e-067.99913634310274e-060.999996000431828
682.60541705816063e-065.21083411632127e-060.999997394582942
691.40884332621465e-062.8176866524293e-060.999998591156674
709.39105909104874e-071.87821181820975e-060.999999060894091
718.97939260523681e-071.79587852104736e-060.999999102060739
724.94652350397302e-079.89304700794605e-070.99999950534765
732.83467691725041e-075.66935383450082e-070.999999716532308
741.63807627936469e-073.27615255872938e-070.999999836192372
751.2858034849478e-072.5716069698956e-070.999999871419652
762.0674755697988e-074.13495113959759e-070.999999793252443
771.19294123402661e-072.38588246805321e-070.999999880705877
787.02375133336808e-081.40475026667362e-070.999999929762487
794.19311782826597e-088.38623565653194e-080.999999958068822
802.17176685833628e-074.34353371667257e-070.999999782823314
811.93549921113753e-063.87099842227506e-060.999998064500789
820.09500577768844110.1900115553768820.904994222311559
830.13844106915090.27688213830180.8615589308491
840.1210402544343740.2420805088687480.878959745565626
850.1422161699224810.2844323398449610.857783830077519
860.1247826188311020.2495652376622040.875217381168898
870.1519315248203660.3038630496407320.848068475179634
880.132988987433270.265977974866540.86701101256673
890.1626890271436410.3253780542872820.837310972856359
900.1438314180551070.2876628361102130.856168581944893
910.1240435317026580.2480870634053150.875956468297342
920.1886264323896090.3772528647792180.811373567610391
930.1660061238636030.3320122477272070.833993876136397
940.1503328261635840.3006656523271680.849667173836416
950.1469846143015590.2939692286031190.853015385698441
960.1317205853850190.2634411707700390.86827941461498
970.1186856735683660.2373713471367320.881314326431634
980.1098340652957730.2196681305915450.890165934704227
990.09623918774820940.1924783754964190.903760812251791
1000.09341653440656270.1868330688131250.906583465593437
1010.08039678782679710.1607935756535940.919603212173203
1020.1285755591297230.2571511182594460.871424440870277
1030.1587938513091640.3175877026183270.841206148690836
1040.1387427433529410.2774854867058810.861257256647059
1050.1259012482683370.2518024965366740.874098751731663
1060.1250433289001420.2500866578002830.874956671099858
1070.1171312842889960.2342625685779920.882868715711004
1080.1298087447101090.2596174894202170.870191255289891
1090.1198714031182410.2397428062364810.880128596881759
1100.1216815680883580.2433631361767150.878318431911642
1110.1103425869751470.2206851739502930.889657413024853
1120.09780768103021860.1956153620604370.902192318969781
1130.08866216411067540.1773243282213510.911337835889325
1140.078345468843810.156690937687620.92165453115619
1150.07259545003170290.1451909000634060.927404549968297
1160.06959508209135650.1391901641827130.930404917908644
1170.06627859166304940.1325571833260990.933721408336951
1180.05642532951519730.1128506590303950.943574670484803
1190.04773310346942610.09546620693885210.952266896530574
1200.04016503476613150.0803300695322630.959834965233868
1210.03422031030763860.06844062061527710.965779689692361
1220.02977716282370120.05955432564740230.970222837176299
1230.02492286782894620.04984573565789250.975077132171054
1240.02070906614462070.04141813228924140.979290933855379
1250.01721775282189650.03443550564379310.982782247178103
1260.0140297204811840.02805944096236790.985970279518816
1270.01159730752714480.02319461505428960.988402692472855
1280.009405157041372380.01881031408274480.990594842958628
1290.007586977259275540.01517395451855110.992413022740725
1300.006195601665864660.01239120333172930.993804398334135
1310.004935410762407340.009870821524814680.995064589237593
1320.003945625005769160.007891250011538320.996054374994231
1330.00459096121727530.00918192243455060.995409038782725
1340.0046070373530990.009214074706198010.995392962646901
1350.004956180885209710.009912361770419410.99504381911479
1360.004708432042107250.009416864084214510.995291567957893
1370.005091089428712270.01018217885742450.994908910571288
1380.004388752710839090.008777505421678170.995611247289161
1390.004033718640847920.008067437281695830.995966281359152
1400.003624633715219380.007249267430438770.996375366284781
1410.003048139462017490.006096278924034980.996951860537982
1420.002446661333993850.00489332266798770.997553338666006
1430.002047251786127690.004094503572255370.997952748213872
1440.00361102693519030.00722205387038060.99638897306481
1450.004023720759795960.008047441519591930.995976279240204
1460.003983215727864270.007966431455728540.996016784272136
1470.004605405073678170.009210810147356340.995394594926322
1480.003763637783016360.007527275566032730.996236362216984
1490.003249920112268580.006499840224537150.996750079887731
1500.002611309555168140.005222619110336270.997388690444832
1510.002403416597631890.004806833195263790.997596583402368
1520.001988041607582540.003976083215165090.998011958392417
1530.002027847019278170.004055694038556340.997972152980722
1540.01368169554563490.02736339109126980.986318304454365
1550.01334357384891020.02668714769782040.98665642615109
1560.01237241426252260.02474482852504520.987627585737477
1570.01064440037849620.02128880075699250.989355599621504
1580.01147557837775650.02295115675551310.988524421622244
1590.01044469459863570.02088938919727140.989555305401364
1600.01115143903076880.02230287806153770.988848560969231
1610.02934636749334160.05869273498668320.970653632506658
1620.02565059808353930.05130119616707870.974349401916461
1630.02193666698738470.04387333397476940.978063333012615
1640.02143038455496390.04286076910992770.978569615445036
1650.02119814518223070.04239629036446140.978801854817769
1660.01922983693089010.03845967386178020.98077016306911
1670.02167553794442580.04335107588885170.978324462055574
1680.01984606681385130.03969213362770260.980153933186149
1690.0238809852527880.04776197050557610.976119014747212
1700.1766749324775070.3533498649550140.823325067522493
1710.1920486262339860.3840972524679730.807951373766014
1720.179250700067730.3585014001354610.82074929993227
1730.1658831429090440.3317662858180880.834116857090956
1740.2270856509489920.4541713018979830.772914349051008
1750.3553731974410970.7107463948821950.644626802558903
1760.3829673708387610.7659347416775210.617032629161239
1770.4178995648998450.8357991297996910.582100435100155
1780.3939514861208940.7879029722417890.606048513879106
1790.3692762506401050.738552501280210.630723749359895
1800.4223129626046540.8446259252093070.577687037395346
1810.6654113827530730.6691772344938540.334588617246927
1820.6440484992494590.7119030015010830.355951500750541
1830.6891481781869160.6217036436261680.310851821813084
1840.6656680994735530.6686638010528940.334331900526447
1850.6428461862711740.7143076274576520.357153813728826
1860.6404628103278090.7190743793443810.359537189672191
1870.6191637556071260.7616724887857480.380836244392874
1880.5995228928424910.8009542143150170.400477107157508
1890.7286372692383660.5427254615232670.271362730761634
1900.7059037545033930.5881924909932130.294096245496607
1910.6977221458882730.6045557082234540.302277854111727
1920.8735128481369940.2529743037260110.126487151863006
1930.8707275350077010.2585449299845980.129272464992299
1940.8690524649151240.2618950701697530.130947535084876
1950.8578021888996940.2843956222006130.142197811100306
1960.8444018198966690.3111963602066610.155598180103331
1970.8949814226236370.2100371547527260.105018577376363
1980.8827823185031110.2344353629937790.117217681496889
1990.8767570272790010.2464859454419990.123242972720999
2000.8666073691711390.2667852616577210.133392630828861
2010.8522676618094110.2954646763811780.147732338190589
2020.8778866577028940.2442266845942120.122113342297106
2030.8683990479450160.2632019041099690.131600952054984
2040.8552300919549220.2895398160901560.144769908045078
2050.8443938759648120.3112122480703750.155606124035188
2060.8325405768956680.3349188462086630.167459423104332
2070.8960674537665810.2078650924668380.103932546233419
2080.8960412225731190.2079175548537610.103958777426881
2090.9311915796075310.1376168407849380.0688084203924691
2100.9348917399195230.1302165201609540.0651082600804772
2110.9440685302839730.1118629394320540.0559314697160269
2120.9374473899221310.1251052201557380.0625526100778691
2130.9337871916327940.1324256167344110.0662128083672057
2140.9299527940893390.1400944118213220.0700472059106611
2150.9222226444228420.1555547111543170.0777773555771583
2160.9845500072070410.03089998558591730.0154499927929586
2170.9826155356663450.03476892866731090.0173844643336555
2180.9851762288015950.0296475423968110.0148237711984055
2190.9904888054825850.01902238903482970.00951119451741483
2200.9894646635290340.02107067294193280.0105353364709664
2210.9895773651703370.02084526965932640.0104226348296632
2220.9888038131908160.02239237361836880.0111961868091844
2230.9887013168407640.02259736631847130.0112986831592356
2240.988321314580520.02335737083895990.0116786854194799
2250.9875501999497320.02489960010053540.0124498000502677
2260.9902460427414160.01950791451716770.00975395725858386
2270.989052620584180.021894758831640.01094737941582
2280.9870790843154380.02584183136912360.0129209156845618
2290.9862877367958790.02742452640824250.0137122632041212
2300.9866110311203070.02677793775938590.013388968879693
2310.9850299492778570.02994010144428670.0149700507221433
2320.9824474417170650.03510511656587060.0175525582829353
2330.9803718388427730.03925632231445310.0196281611572265
2340.9820248321272160.03595033574556850.0179751678727842
2350.979914635246930.04017072950614040.0200853647530702
2360.97843393911570.04313212176860070.0215660608843004
2370.9818997640570060.03620047188598840.0181002359429942
2380.9805168469444250.03896630611114940.0194831530555747
2390.9802640237740470.03947195245190670.0197359762259534
2400.9779442315913380.04411153681732430.0220557684086621
2410.9782832215391250.04343355692175030.0217167784608751
2420.9775305397886080.04493892042278320.0224694602113916
2430.978270277390260.04345944521948040.0217297226097402
2440.9760131241872070.04797375162558510.0239868758127926
2450.9747582364298250.05048352714035050.0252417635701752
2460.97218077451810.05563845096379990.0278192254818999
2470.9678410141983090.06431797160338210.0321589858016911
2480.9702607904672110.05947841906557870.0297392095327893
2490.9811407932719020.03771841345619620.0188592067280981
2500.9782199741898170.04356005162036570.0217800258101828
2510.9751387952028140.0497224095943720.024861204797186
2520.9737756508056910.05244869838861730.0262243491943086
2530.9807992208752970.03840155824940650.0192007791247032
2540.9841366851966320.03172662960673580.0158633148033679
2550.9828109623097380.03437807538052380.0171890376902619
2560.9821642518390470.03567149632190540.0178357481609527
2570.9874614771193950.02507704576120930.0125385228806046
2580.9927919099276720.01441618014465570.00720809007232785
2590.9973007231165930.005398553766813560.00269927688340678
2600.9986946606241060.002610678751787880.00130533937589394
2610.9984172568553870.00316548628922690.00158274314461345
2620.9981501183741630.003699763251673150.00184988162583657
2630.9979082055792680.004183588841463390.0020917944207317
2640.9975147445796610.004970510840677980.00248525542033899
2650.9971601793661110.005679641267777120.00283982063388856
2660.9965532052795140.006893589440971560.00344679472048578
2670.9963284174813810.007343165037237650.00367158251861882
2680.9956588969583390.008682206083322960.00434110304166148
2690.9950113749601570.009977250079685820.00498862503984291
2700.9947914829178510.01041703416429850.00520851708214923
2710.9953312549046590.009337490190682960.00466874509534148
2720.9946510085938090.0106979828123830.0053489914061915
2730.9946482935158590.01070341296828210.00535170648414107
2740.9955733175791640.008853364841671880.00442668242083594
2750.9951786482276410.009642703544718770.00482135177235938
2760.9951656571576610.009668685684678010.00483434284233901
2770.9943805224749560.0112389550500870.0056194775250435
2780.9935638956497080.01287220870058440.0064361043502922
2790.9924219695102210.01515606097955860.00757803048977932
2800.9916210965192520.01675780696149670.00837890348074833
2810.990717209347950.01856558130409910.00928279065204956
2820.9900980542009380.01980389159812370.00990194579906187
2830.9905791051278340.01884178974433290.00942089487216643
2840.9897203890124330.02055922197513310.0102796109875665
2850.9921194670716370.01576106585672620.00788053292836312
2860.9908640472134910.01827190557301870.00913595278650933
2870.992265030847110.01546993830578070.00773496915289035
2880.9907642243706590.01847155125868230.00923577562934117
2890.9895198219859550.0209603560280910.0104801780140455
2900.9875701267948760.02485974641024840.0124298732051242
2910.9897622782646680.02047544347066310.0102377217353315
2920.9910067882169270.01798642356614520.00899321178307261
2930.9911205699945480.01775886001090430.00887943000545217
2940.9910870092828430.0178259814343150.0089129907171575
2950.990608794623210.0187824107535790.00939120537678948
2960.9888239433064360.02235211338712840.0111760566935642
2970.9876516314036560.02469673719268810.0123483685963441
2980.9856936013107030.02861279737859420.0143063986892971
2990.9852476149282320.02950477014353640.0147523850717682
3000.9864688833071380.02706223338572390.013531116692862
3010.9854955817403680.02900883651926390.0145044182596319
3020.9839784597099470.03204308058010610.0160215402900531
3030.9847044692011370.03059106159772530.0152955307988627
3040.9839812369771680.03203752604566410.0160187630228321
3050.9815450087171220.03690998256575610.018454991282878
3060.9794239104273140.04115217914537260.0205760895726863
3070.9771148722065930.0457702555868150.0228851277934075
3080.9749133244259670.05017335114806510.0250866755740325
3090.971697896359210.05660420728158050.0283021036407903
3100.9673143614944720.06537127701105510.0326856385055275
3110.9655744304322260.0688511391355480.034425569567774
3120.9633138311229560.07337233775408860.0366861688770443
3130.9614391933329190.07712161333416120.0385608066670806
3140.963039233689550.0739215326209010.0369607663104505
3150.9669971288997230.0660057422005540.033002871100277
3160.9664155377767250.06716892444655040.0335844622232752
3170.9681266258038440.06374674839231280.0318733741961564
3180.9654745926064850.06905081478703030.0345254073935152
3190.9604788677673510.07904226446529820.0395211322326491
3200.9674028687937640.06519426241247170.0325971312062358
3210.9622982699426440.0754034601147130.0377017300573565
3220.9634573519077090.07308529618458120.0365426480922906
3230.9607806015114710.07843879697705740.0392193984885287
3240.9559305121639860.08813897567202880.0440694878360144
3250.9495803508429110.1008392983141770.0504196491570885
3260.9488466114567390.1023067770865210.0511533885432606
3270.9414641183411060.1170717633177870.0585358816588935
3280.9365167700196110.1269664599607790.0634832299803893
3290.9292568461734360.1414863076531280.0707431538265639
3300.9222302802370860.1555394395258280.0777697197629142
3310.9134227407561720.1731545184876560.0865772592438282
3320.9045796765994580.1908406468010850.0954203234005424
3330.8937071313310570.2125857373378860.106292868668943
3340.8805676220718320.2388647558563350.119432377928168
3350.874418129173080.2511637416538390.12558187082692
3360.8607382974502980.2785234050994040.139261702549702
3370.8512585188063230.2974829623873550.148741481193677
3380.8496151570876670.3007696858246670.150384842912333
3390.8335488571726730.3329022856546540.166451142827327
3400.8746614896862980.2506770206274040.125338510313702
3410.8903176290762250.2193647418475510.109682370923775
3420.8779525921420560.2440948157158880.122047407857944
3430.8693365243742880.2613269512514240.130663475625712
3440.855933896482340.288132207035320.14406610351766
3450.8397785466845910.3204429066308190.160221453315409
3460.8977706999391130.2044586001217750.102229300060887
3470.8860207809270540.2279584381458920.113979219072946
3480.8985722699842010.2028554600315970.101427730015799
3490.8887145492827890.2225709014344210.111285450717211
3500.8776642358305140.2446715283389720.122335764169486
3510.8726092701129020.2547814597741970.127390729887098
3520.8721216884975950.255756623004810.127878311502405
3530.8605515284181670.2788969431636660.139448471581833
3540.846248854434170.307502291131660.15375114556583
3550.8494019506756550.301196098648690.150598049324345
3560.8493112345786290.3013775308427420.150688765421371
3570.8378012118504820.3243975762990360.162198788149518
3580.8227440177050880.3545119645898240.177255982294912
3590.8118247973960210.3763504052079590.188175202603979
3600.7968674269461520.4062651461076960.203132573053848
3610.8048055221217360.3903889557565280.195194477878264
3620.7872766092916990.4254467814166020.212723390708301
3630.7784725857700270.4430548284599460.221527414229973
3640.7593134005657010.4813731988685980.240686599434299
3650.7437354155173850.512529168965230.256264584482615
3660.7484574136724120.5030851726551750.251542586327587
3670.7335516358277260.5328967283445480.266448364172274
3680.7138949674274410.5722100651451170.286105032572559
3690.6931738734991010.6136522530017990.3068261265009
3700.6749283279836340.6501433440327310.325071672016366
3710.6542283518298250.6915432963403490.345771648170175
3720.6380098710909440.7239802578181120.361990128909056
3730.6128996265632910.7742007468734180.387100373436709
3740.610662593541340.7786748129173210.38933740645866
3750.615540732422070.768918535155860.38445926757793
3760.5933692058186080.8132615883627830.406630794181392
3770.5921084363520710.8157831272958590.407891563647929
3780.5686327990502820.8627344018994360.431367200949718
3790.5565502380858590.8868995238282830.443449761914141
3800.5532182051900470.8935635896199060.446781794809953
3810.5340109985484390.9319780029031220.465989001451561
3820.5066813168747230.9866373662505540.493318683125277
3830.4790336106690840.9580672213381680.520966389330916
3840.477439152009190.9548783040183790.52256084799081
3850.4503025323088530.9006050646177070.549697467691147
3860.4463453355649580.8926906711299160.553654664435042
3870.4198361060623530.8396722121247070.580163893937647
3880.4002851654248350.800570330849670.599714834575165
3890.3933377472351370.7866754944702750.606662252764863
3900.3707715729193520.7415431458387040.629228427080648
3910.3526223449869960.7052446899739930.647377655013004
3920.3264611993634090.6529223987268180.673538800636591
3930.3094263722621570.6188527445243140.690573627737843
3940.2959975818212180.5919951636424370.704002418178782
3950.2707968355597890.5415936711195780.729203164440211
3960.2478793630071250.495758726014250.752120636992875
3970.2250555111011110.4501110222022230.774944488898889
3980.2065092123424960.4130184246849920.793490787657504
3990.1950158439805280.3900316879610550.804984156019472
4000.1828212807607730.3656425615215460.817178719239227
4010.1648687292470670.3297374584941350.835131270752932
4020.1491606257205730.2983212514411450.850839374279427
4030.1319829599013890.2639659198027780.868017040098611
4040.1235678091080490.2471356182160980.876432190891951
4050.1231223860818990.2462447721637990.876877613918101
4060.1121372399422580.2242744798845160.887862760057742
4070.1084684355966120.2169368711932240.891531564403388
4080.1407050193377430.2814100386754850.859294980662257
4090.128276753715810.256553507431620.87172324628419
4100.1124720758740650.224944151748130.887527924125935
4110.1052641118879650.210528223775930.894735888112035
4120.09179681987733510.183593639754670.908203180122665
4130.08518244397238830.1703648879447770.914817556027612
4140.09219058462298320.1843811692459660.907809415377017
4150.09384178475433790.1876835695086760.906158215245662
4160.1239265395777790.2478530791555580.876073460422221
4170.1248071398434170.2496142796868330.875192860156583
4180.1277798496746640.2555596993493280.872220150325336
4190.1337709034524890.2675418069049780.866229096547511
4200.1393449843032170.2786899686064330.860655015696783
4210.1685098714101810.3370197428203620.831490128589819
4220.173926636895380.3478532737907590.82607336310462
4230.2030581698737420.4061163397474840.796941830126258
4240.1827058517249480.3654117034498950.817294148275052
4250.1972476638869980.3944953277739950.802752336113002
4260.1927204211903870.3854408423807750.807279578809613
4270.2125756778595990.4251513557191990.787424322140401
4280.1898958715144340.3797917430288670.810104128485566
4290.2207007271870150.441401454374030.779299272812985
4300.2492140069792250.4984280139584510.750785993020775
4310.22655878625950.4531175725190010.7734412137405
4320.2013997525745440.4027995051490880.798600247425456
4330.1900552933801740.3801105867603470.809944706619826
4340.1697159553737590.3394319107475180.830284044626241
4350.1497528402734270.2995056805468540.850247159726573
4360.1796231665725490.3592463331450990.820376833427451
4370.2391566135031740.4783132270063470.760843386496826
4380.2163726889847180.4327453779694360.783627311015282
4390.1912427406766350.382485481353270.808757259323365
4400.1917261875017320.3834523750034640.808273812498268
4410.1790100727097810.3580201454195630.820989927290219
4420.1819997310482410.3639994620964820.818000268951759
4430.1609119971540040.3218239943080090.839088002845996
4440.1472699787400720.2945399574801440.852730021259928
4450.134048986866530.268097973733060.86595101313347
4460.1275367885826720.2550735771653450.872463211417328
4470.1083333197175410.2166666394350820.891666680282459
4480.09299015482562830.1859803096512570.907009845174372
4490.08718082438874780.1743616487774960.912819175611252
4500.07734386168268430.1546877233653690.922656138317316
4510.06535443775250480.130708875505010.934645562247495
4520.05660027449051920.1132005489810380.943399725509481
4530.06455433503310480.129108670066210.935445664966895
4540.06568350951708110.1313670190341620.934316490482919
4550.09055144769687430.1811028953937490.909448552303126
4560.08057182216245010.16114364432490.91942817783755
4570.0762580721077030.1525161442154060.923741927892297
4580.1579926597224770.3159853194449540.842007340277523
4590.1617689638158870.3235379276317740.838231036184113
4600.1635242078055790.3270484156111570.836475792194421
4610.1481652876089190.2963305752178370.851834712391081
4620.1289293306265740.2578586612531470.871070669373426
4630.110733031644250.22146606328850.88926696835575
4640.0957722749855440.1915445499710880.904227725014456
4650.0961698796856640.1923397593713280.903830120314336
4660.1042414822937760.2084829645875510.895758517706224
4670.2945855672253130.5891711344506270.705414432774687
4680.2635564523200770.5271129046401540.736443547679923
4690.2454304398968340.4908608797936680.754569560103166
4700.2246348382306260.4492696764612530.775365161769374
4710.2591405985103310.5182811970206630.740859401489669
4720.4949002705066210.9898005410132420.505099729493379
4730.5572814779507620.8854370440984760.442718522049238
4740.5289213098661470.9421573802677050.471078690133853
4750.4687431670747560.9374863341495120.531256832925244
4760.7052258585751860.5895482828496280.294774141424814
4770.7157445118902180.5685109762195650.284255488109782
4780.752236025323290.495527949353420.24776397467671
4790.6966222951881160.6067554096237690.303377704811884
4800.6670308757590070.6659382484819870.332969124240993
4810.6609007755405780.6781984489188440.339099224459422
4820.5963822246330470.8072355507339060.403617775366953
4830.5228668657738050.9542662684523910.477133134226195
4840.4994210226748060.9988420453496130.500578977325194
4850.4411712940807310.8823425881614610.558828705919269
4860.3761308881448470.7522617762896950.623869111855152
4870.3093543554757910.6187087109515820.690645644524209
4880.2853860167141780.5707720334283550.714613983285822
4890.276214911781660.552429823563320.72378508821834
4900.2192877107845840.4385754215691680.780712289215416
4910.1517515079015720.3035030158031430.848248492098428
4920.1021325033363560.2042650066727120.897867496663644
4930.0883444371646190.1766888743292380.911655562835381
4940.04951669338850480.09903338677700960.950483306611495
4950.02349113751370910.04698227502741820.976508862486291

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
26 & 0.285570409565657 & 0.571140819131315 & 0.714429590434343 \tabularnewline
27 & 0.150887028198757 & 0.301774056397513 & 0.849112971801243 \tabularnewline
28 & 0.0727336915195093 & 0.145467383039019 & 0.927266308480491 \tabularnewline
29 & 0.0333375777387567 & 0.0666751554775135 & 0.966662422261243 \tabularnewline
30 & 0.0140056247214344 & 0.0280112494428688 & 0.985994375278566 \tabularnewline
31 & 0.00570271940214021 & 0.0114054388042804 & 0.99429728059786 \tabularnewline
32 & 0.00224374928031526 & 0.00448749856063053 & 0.997756250719685 \tabularnewline
33 & 0.000808767232537468 & 0.00161753446507494 & 0.999191232767463 \tabularnewline
34 & 0.00193184729675834 & 0.00386369459351669 & 0.998068152703242 \tabularnewline
35 & 0.000841772130135938 & 0.00168354426027188 & 0.999158227869864 \tabularnewline
36 & 0.000335219360804182 & 0.000670438721608364 & 0.999664780639196 \tabularnewline
37 & 0.000131570888297628 & 0.000263141776595255 & 0.999868429111702 \tabularnewline
38 & 6.29725344663114e-05 & 0.000125945068932623 & 0.999937027465534 \tabularnewline
39 & 3.47431022422497e-05 & 6.94862044844994e-05 & 0.999965256897758 \tabularnewline
40 & 2.27527672258019e-05 & 4.55055344516038e-05 & 0.999977247232774 \tabularnewline
41 & 9.02568338520364e-06 & 1.80513667704073e-05 & 0.999990974316615 \tabularnewline
42 & 3.76773839601789e-06 & 7.53547679203578e-06 & 0.999996232261604 \tabularnewline
43 & 1.33368251020501e-06 & 2.66736502041001e-06 & 0.99999866631749 \tabularnewline
44 & 4.61225878660774e-07 & 9.22451757321548e-07 & 0.999999538774121 \tabularnewline
45 & 1.55868102598907e-07 & 3.11736205197814e-07 & 0.999999844131897 \tabularnewline
46 & 1.46903199281679e-05 & 2.93806398563357e-05 & 0.999985309680072 \tabularnewline
47 & 6.56810661043076e-06 & 1.31362132208615e-05 & 0.99999343189339 \tabularnewline
48 & 2.97109389651259e-06 & 5.94218779302518e-06 & 0.999997028906104 \tabularnewline
49 & 1.26674810617429e-06 & 2.53349621234858e-06 & 0.999998733251894 \tabularnewline
50 & 5.2814405719273e-07 & 1.05628811438546e-06 & 0.999999471855943 \tabularnewline
51 & 3.43264984412693e-07 & 6.86529968825386e-07 & 0.999999656735016 \tabularnewline
52 & 6.36281531676334e-06 & 1.27256306335267e-05 & 0.999993637184683 \tabularnewline
53 & 5.11754194372436e-06 & 1.02350838874487e-05 & 0.999994882458056 \tabularnewline
54 & 2.41444283184733e-06 & 4.82888566369467e-06 & 0.999997585557168 \tabularnewline
55 & 9.12769336753435e-06 & 1.82553867350687e-05 & 0.999990872306632 \tabularnewline
56 & 8.69577213396654e-05 & 0.000173915442679331 & 0.99991304227866 \tabularnewline
57 & 0.000176088320521074 & 0.000352176641042148 & 0.999823911679479 \tabularnewline
58 & 0.000105056380759381 & 0.000210112761518762 & 0.999894943619241 \tabularnewline
59 & 6.37770632178047e-05 & 0.000127554126435609 & 0.999936222936782 \tabularnewline
60 & 3.557565957266e-05 & 7.115131914532e-05 & 0.999964424340427 \tabularnewline
61 & 2.06955926654109e-05 & 4.13911853308218e-05 & 0.999979304407335 \tabularnewline
62 & 1.34576687762821e-05 & 2.69153375525642e-05 & 0.999986542331224 \tabularnewline
63 & 7.82183013794815e-06 & 1.56436602758963e-05 & 0.999992178169862 \tabularnewline
64 & 4.35327499681671e-06 & 8.70654999363341e-06 & 0.999995646725003 \tabularnewline
65 & 3.16446769129025e-06 & 6.32893538258049e-06 & 0.999996835532309 \tabularnewline
66 & 7.13094889683331e-06 & 1.42618977936666e-05 & 0.999992869051103 \tabularnewline
67 & 3.99956817155137e-06 & 7.99913634310274e-06 & 0.999996000431828 \tabularnewline
68 & 2.60541705816063e-06 & 5.21083411632127e-06 & 0.999997394582942 \tabularnewline
69 & 1.40884332621465e-06 & 2.8176866524293e-06 & 0.999998591156674 \tabularnewline
70 & 9.39105909104874e-07 & 1.87821181820975e-06 & 0.999999060894091 \tabularnewline
71 & 8.97939260523681e-07 & 1.79587852104736e-06 & 0.999999102060739 \tabularnewline
72 & 4.94652350397302e-07 & 9.89304700794605e-07 & 0.99999950534765 \tabularnewline
73 & 2.83467691725041e-07 & 5.66935383450082e-07 & 0.999999716532308 \tabularnewline
74 & 1.63807627936469e-07 & 3.27615255872938e-07 & 0.999999836192372 \tabularnewline
75 & 1.2858034849478e-07 & 2.5716069698956e-07 & 0.999999871419652 \tabularnewline
76 & 2.0674755697988e-07 & 4.13495113959759e-07 & 0.999999793252443 \tabularnewline
77 & 1.19294123402661e-07 & 2.38588246805321e-07 & 0.999999880705877 \tabularnewline
78 & 7.02375133336808e-08 & 1.40475026667362e-07 & 0.999999929762487 \tabularnewline
79 & 4.19311782826597e-08 & 8.38623565653194e-08 & 0.999999958068822 \tabularnewline
80 & 2.17176685833628e-07 & 4.34353371667257e-07 & 0.999999782823314 \tabularnewline
81 & 1.93549921113753e-06 & 3.87099842227506e-06 & 0.999998064500789 \tabularnewline
82 & 0.0950057776884411 & 0.190011555376882 & 0.904994222311559 \tabularnewline
83 & 0.1384410691509 & 0.2768821383018 & 0.8615589308491 \tabularnewline
84 & 0.121040254434374 & 0.242080508868748 & 0.878959745565626 \tabularnewline
85 & 0.142216169922481 & 0.284432339844961 & 0.857783830077519 \tabularnewline
86 & 0.124782618831102 & 0.249565237662204 & 0.875217381168898 \tabularnewline
87 & 0.151931524820366 & 0.303863049640732 & 0.848068475179634 \tabularnewline
88 & 0.13298898743327 & 0.26597797486654 & 0.86701101256673 \tabularnewline
89 & 0.162689027143641 & 0.325378054287282 & 0.837310972856359 \tabularnewline
90 & 0.143831418055107 & 0.287662836110213 & 0.856168581944893 \tabularnewline
91 & 0.124043531702658 & 0.248087063405315 & 0.875956468297342 \tabularnewline
92 & 0.188626432389609 & 0.377252864779218 & 0.811373567610391 \tabularnewline
93 & 0.166006123863603 & 0.332012247727207 & 0.833993876136397 \tabularnewline
94 & 0.150332826163584 & 0.300665652327168 & 0.849667173836416 \tabularnewline
95 & 0.146984614301559 & 0.293969228603119 & 0.853015385698441 \tabularnewline
96 & 0.131720585385019 & 0.263441170770039 & 0.86827941461498 \tabularnewline
97 & 0.118685673568366 & 0.237371347136732 & 0.881314326431634 \tabularnewline
98 & 0.109834065295773 & 0.219668130591545 & 0.890165934704227 \tabularnewline
99 & 0.0962391877482094 & 0.192478375496419 & 0.903760812251791 \tabularnewline
100 & 0.0934165344065627 & 0.186833068813125 & 0.906583465593437 \tabularnewline
101 & 0.0803967878267971 & 0.160793575653594 & 0.919603212173203 \tabularnewline
102 & 0.128575559129723 & 0.257151118259446 & 0.871424440870277 \tabularnewline
103 & 0.158793851309164 & 0.317587702618327 & 0.841206148690836 \tabularnewline
104 & 0.138742743352941 & 0.277485486705881 & 0.861257256647059 \tabularnewline
105 & 0.125901248268337 & 0.251802496536674 & 0.874098751731663 \tabularnewline
106 & 0.125043328900142 & 0.250086657800283 & 0.874956671099858 \tabularnewline
107 & 0.117131284288996 & 0.234262568577992 & 0.882868715711004 \tabularnewline
108 & 0.129808744710109 & 0.259617489420217 & 0.870191255289891 \tabularnewline
109 & 0.119871403118241 & 0.239742806236481 & 0.880128596881759 \tabularnewline
110 & 0.121681568088358 & 0.243363136176715 & 0.878318431911642 \tabularnewline
111 & 0.110342586975147 & 0.220685173950293 & 0.889657413024853 \tabularnewline
112 & 0.0978076810302186 & 0.195615362060437 & 0.902192318969781 \tabularnewline
113 & 0.0886621641106754 & 0.177324328221351 & 0.911337835889325 \tabularnewline
114 & 0.07834546884381 & 0.15669093768762 & 0.92165453115619 \tabularnewline
115 & 0.0725954500317029 & 0.145190900063406 & 0.927404549968297 \tabularnewline
116 & 0.0695950820913565 & 0.139190164182713 & 0.930404917908644 \tabularnewline
117 & 0.0662785916630494 & 0.132557183326099 & 0.933721408336951 \tabularnewline
118 & 0.0564253295151973 & 0.112850659030395 & 0.943574670484803 \tabularnewline
119 & 0.0477331034694261 & 0.0954662069388521 & 0.952266896530574 \tabularnewline
120 & 0.0401650347661315 & 0.080330069532263 & 0.959834965233868 \tabularnewline
121 & 0.0342203103076386 & 0.0684406206152771 & 0.965779689692361 \tabularnewline
122 & 0.0297771628237012 & 0.0595543256474023 & 0.970222837176299 \tabularnewline
123 & 0.0249228678289462 & 0.0498457356578925 & 0.975077132171054 \tabularnewline
124 & 0.0207090661446207 & 0.0414181322892414 & 0.979290933855379 \tabularnewline
125 & 0.0172177528218965 & 0.0344355056437931 & 0.982782247178103 \tabularnewline
126 & 0.014029720481184 & 0.0280594409623679 & 0.985970279518816 \tabularnewline
127 & 0.0115973075271448 & 0.0231946150542896 & 0.988402692472855 \tabularnewline
128 & 0.00940515704137238 & 0.0188103140827448 & 0.990594842958628 \tabularnewline
129 & 0.00758697725927554 & 0.0151739545185511 & 0.992413022740725 \tabularnewline
130 & 0.00619560166586466 & 0.0123912033317293 & 0.993804398334135 \tabularnewline
131 & 0.00493541076240734 & 0.00987082152481468 & 0.995064589237593 \tabularnewline
132 & 0.00394562500576916 & 0.00789125001153832 & 0.996054374994231 \tabularnewline
133 & 0.0045909612172753 & 0.0091819224345506 & 0.995409038782725 \tabularnewline
134 & 0.004607037353099 & 0.00921407470619801 & 0.995392962646901 \tabularnewline
135 & 0.00495618088520971 & 0.00991236177041941 & 0.99504381911479 \tabularnewline
136 & 0.00470843204210725 & 0.00941686408421451 & 0.995291567957893 \tabularnewline
137 & 0.00509108942871227 & 0.0101821788574245 & 0.994908910571288 \tabularnewline
138 & 0.00438875271083909 & 0.00877750542167817 & 0.995611247289161 \tabularnewline
139 & 0.00403371864084792 & 0.00806743728169583 & 0.995966281359152 \tabularnewline
140 & 0.00362463371521938 & 0.00724926743043877 & 0.996375366284781 \tabularnewline
141 & 0.00304813946201749 & 0.00609627892403498 & 0.996951860537982 \tabularnewline
142 & 0.00244666133399385 & 0.0048933226679877 & 0.997553338666006 \tabularnewline
143 & 0.00204725178612769 & 0.00409450357225537 & 0.997952748213872 \tabularnewline
144 & 0.0036110269351903 & 0.0072220538703806 & 0.99638897306481 \tabularnewline
145 & 0.00402372075979596 & 0.00804744151959193 & 0.995976279240204 \tabularnewline
146 & 0.00398321572786427 & 0.00796643145572854 & 0.996016784272136 \tabularnewline
147 & 0.00460540507367817 & 0.00921081014735634 & 0.995394594926322 \tabularnewline
148 & 0.00376363778301636 & 0.00752727556603273 & 0.996236362216984 \tabularnewline
149 & 0.00324992011226858 & 0.00649984022453715 & 0.996750079887731 \tabularnewline
150 & 0.00261130955516814 & 0.00522261911033627 & 0.997388690444832 \tabularnewline
151 & 0.00240341659763189 & 0.00480683319526379 & 0.997596583402368 \tabularnewline
152 & 0.00198804160758254 & 0.00397608321516509 & 0.998011958392417 \tabularnewline
153 & 0.00202784701927817 & 0.00405569403855634 & 0.997972152980722 \tabularnewline
154 & 0.0136816955456349 & 0.0273633910912698 & 0.986318304454365 \tabularnewline
155 & 0.0133435738489102 & 0.0266871476978204 & 0.98665642615109 \tabularnewline
156 & 0.0123724142625226 & 0.0247448285250452 & 0.987627585737477 \tabularnewline
157 & 0.0106444003784962 & 0.0212888007569925 & 0.989355599621504 \tabularnewline
158 & 0.0114755783777565 & 0.0229511567555131 & 0.988524421622244 \tabularnewline
159 & 0.0104446945986357 & 0.0208893891972714 & 0.989555305401364 \tabularnewline
160 & 0.0111514390307688 & 0.0223028780615377 & 0.988848560969231 \tabularnewline
161 & 0.0293463674933416 & 0.0586927349866832 & 0.970653632506658 \tabularnewline
162 & 0.0256505980835393 & 0.0513011961670787 & 0.974349401916461 \tabularnewline
163 & 0.0219366669873847 & 0.0438733339747694 & 0.978063333012615 \tabularnewline
164 & 0.0214303845549639 & 0.0428607691099277 & 0.978569615445036 \tabularnewline
165 & 0.0211981451822307 & 0.0423962903644614 & 0.978801854817769 \tabularnewline
166 & 0.0192298369308901 & 0.0384596738617802 & 0.98077016306911 \tabularnewline
167 & 0.0216755379444258 & 0.0433510758888517 & 0.978324462055574 \tabularnewline
168 & 0.0198460668138513 & 0.0396921336277026 & 0.980153933186149 \tabularnewline
169 & 0.023880985252788 & 0.0477619705055761 & 0.976119014747212 \tabularnewline
170 & 0.176674932477507 & 0.353349864955014 & 0.823325067522493 \tabularnewline
171 & 0.192048626233986 & 0.384097252467973 & 0.807951373766014 \tabularnewline
172 & 0.17925070006773 & 0.358501400135461 & 0.82074929993227 \tabularnewline
173 & 0.165883142909044 & 0.331766285818088 & 0.834116857090956 \tabularnewline
174 & 0.227085650948992 & 0.454171301897983 & 0.772914349051008 \tabularnewline
175 & 0.355373197441097 & 0.710746394882195 & 0.644626802558903 \tabularnewline
176 & 0.382967370838761 & 0.765934741677521 & 0.617032629161239 \tabularnewline
177 & 0.417899564899845 & 0.835799129799691 & 0.582100435100155 \tabularnewline
178 & 0.393951486120894 & 0.787902972241789 & 0.606048513879106 \tabularnewline
179 & 0.369276250640105 & 0.73855250128021 & 0.630723749359895 \tabularnewline
180 & 0.422312962604654 & 0.844625925209307 & 0.577687037395346 \tabularnewline
181 & 0.665411382753073 & 0.669177234493854 & 0.334588617246927 \tabularnewline
182 & 0.644048499249459 & 0.711903001501083 & 0.355951500750541 \tabularnewline
183 & 0.689148178186916 & 0.621703643626168 & 0.310851821813084 \tabularnewline
184 & 0.665668099473553 & 0.668663801052894 & 0.334331900526447 \tabularnewline
185 & 0.642846186271174 & 0.714307627457652 & 0.357153813728826 \tabularnewline
186 & 0.640462810327809 & 0.719074379344381 & 0.359537189672191 \tabularnewline
187 & 0.619163755607126 & 0.761672488785748 & 0.380836244392874 \tabularnewline
188 & 0.599522892842491 & 0.800954214315017 & 0.400477107157508 \tabularnewline
189 & 0.728637269238366 & 0.542725461523267 & 0.271362730761634 \tabularnewline
190 & 0.705903754503393 & 0.588192490993213 & 0.294096245496607 \tabularnewline
191 & 0.697722145888273 & 0.604555708223454 & 0.302277854111727 \tabularnewline
192 & 0.873512848136994 & 0.252974303726011 & 0.126487151863006 \tabularnewline
193 & 0.870727535007701 & 0.258544929984598 & 0.129272464992299 \tabularnewline
194 & 0.869052464915124 & 0.261895070169753 & 0.130947535084876 \tabularnewline
195 & 0.857802188899694 & 0.284395622200613 & 0.142197811100306 \tabularnewline
196 & 0.844401819896669 & 0.311196360206661 & 0.155598180103331 \tabularnewline
197 & 0.894981422623637 & 0.210037154752726 & 0.105018577376363 \tabularnewline
198 & 0.882782318503111 & 0.234435362993779 & 0.117217681496889 \tabularnewline
199 & 0.876757027279001 & 0.246485945441999 & 0.123242972720999 \tabularnewline
200 & 0.866607369171139 & 0.266785261657721 & 0.133392630828861 \tabularnewline
201 & 0.852267661809411 & 0.295464676381178 & 0.147732338190589 \tabularnewline
202 & 0.877886657702894 & 0.244226684594212 & 0.122113342297106 \tabularnewline
203 & 0.868399047945016 & 0.263201904109969 & 0.131600952054984 \tabularnewline
204 & 0.855230091954922 & 0.289539816090156 & 0.144769908045078 \tabularnewline
205 & 0.844393875964812 & 0.311212248070375 & 0.155606124035188 \tabularnewline
206 & 0.832540576895668 & 0.334918846208663 & 0.167459423104332 \tabularnewline
207 & 0.896067453766581 & 0.207865092466838 & 0.103932546233419 \tabularnewline
208 & 0.896041222573119 & 0.207917554853761 & 0.103958777426881 \tabularnewline
209 & 0.931191579607531 & 0.137616840784938 & 0.0688084203924691 \tabularnewline
210 & 0.934891739919523 & 0.130216520160954 & 0.0651082600804772 \tabularnewline
211 & 0.944068530283973 & 0.111862939432054 & 0.0559314697160269 \tabularnewline
212 & 0.937447389922131 & 0.125105220155738 & 0.0625526100778691 \tabularnewline
213 & 0.933787191632794 & 0.132425616734411 & 0.0662128083672057 \tabularnewline
214 & 0.929952794089339 & 0.140094411821322 & 0.0700472059106611 \tabularnewline
215 & 0.922222644422842 & 0.155554711154317 & 0.0777773555771583 \tabularnewline
216 & 0.984550007207041 & 0.0308999855859173 & 0.0154499927929586 \tabularnewline
217 & 0.982615535666345 & 0.0347689286673109 & 0.0173844643336555 \tabularnewline
218 & 0.985176228801595 & 0.029647542396811 & 0.0148237711984055 \tabularnewline
219 & 0.990488805482585 & 0.0190223890348297 & 0.00951119451741483 \tabularnewline
220 & 0.989464663529034 & 0.0210706729419328 & 0.0105353364709664 \tabularnewline
221 & 0.989577365170337 & 0.0208452696593264 & 0.0104226348296632 \tabularnewline
222 & 0.988803813190816 & 0.0223923736183688 & 0.0111961868091844 \tabularnewline
223 & 0.988701316840764 & 0.0225973663184713 & 0.0112986831592356 \tabularnewline
224 & 0.98832131458052 & 0.0233573708389599 & 0.0116786854194799 \tabularnewline
225 & 0.987550199949732 & 0.0248996001005354 & 0.0124498000502677 \tabularnewline
226 & 0.990246042741416 & 0.0195079145171677 & 0.00975395725858386 \tabularnewline
227 & 0.98905262058418 & 0.02189475883164 & 0.01094737941582 \tabularnewline
228 & 0.987079084315438 & 0.0258418313691236 & 0.0129209156845618 \tabularnewline
229 & 0.986287736795879 & 0.0274245264082425 & 0.0137122632041212 \tabularnewline
230 & 0.986611031120307 & 0.0267779377593859 & 0.013388968879693 \tabularnewline
231 & 0.985029949277857 & 0.0299401014442867 & 0.0149700507221433 \tabularnewline
232 & 0.982447441717065 & 0.0351051165658706 & 0.0175525582829353 \tabularnewline
233 & 0.980371838842773 & 0.0392563223144531 & 0.0196281611572265 \tabularnewline
234 & 0.982024832127216 & 0.0359503357455685 & 0.0179751678727842 \tabularnewline
235 & 0.97991463524693 & 0.0401707295061404 & 0.0200853647530702 \tabularnewline
236 & 0.9784339391157 & 0.0431321217686007 & 0.0215660608843004 \tabularnewline
237 & 0.981899764057006 & 0.0362004718859884 & 0.0181002359429942 \tabularnewline
238 & 0.980516846944425 & 0.0389663061111494 & 0.0194831530555747 \tabularnewline
239 & 0.980264023774047 & 0.0394719524519067 & 0.0197359762259534 \tabularnewline
240 & 0.977944231591338 & 0.0441115368173243 & 0.0220557684086621 \tabularnewline
241 & 0.978283221539125 & 0.0434335569217503 & 0.0217167784608751 \tabularnewline
242 & 0.977530539788608 & 0.0449389204227832 & 0.0224694602113916 \tabularnewline
243 & 0.97827027739026 & 0.0434594452194804 & 0.0217297226097402 \tabularnewline
244 & 0.976013124187207 & 0.0479737516255851 & 0.0239868758127926 \tabularnewline
245 & 0.974758236429825 & 0.0504835271403505 & 0.0252417635701752 \tabularnewline
246 & 0.9721807745181 & 0.0556384509637999 & 0.0278192254818999 \tabularnewline
247 & 0.967841014198309 & 0.0643179716033821 & 0.0321589858016911 \tabularnewline
248 & 0.970260790467211 & 0.0594784190655787 & 0.0297392095327893 \tabularnewline
249 & 0.981140793271902 & 0.0377184134561962 & 0.0188592067280981 \tabularnewline
250 & 0.978219974189817 & 0.0435600516203657 & 0.0217800258101828 \tabularnewline
251 & 0.975138795202814 & 0.049722409594372 & 0.024861204797186 \tabularnewline
252 & 0.973775650805691 & 0.0524486983886173 & 0.0262243491943086 \tabularnewline
253 & 0.980799220875297 & 0.0384015582494065 & 0.0192007791247032 \tabularnewline
254 & 0.984136685196632 & 0.0317266296067358 & 0.0158633148033679 \tabularnewline
255 & 0.982810962309738 & 0.0343780753805238 & 0.0171890376902619 \tabularnewline
256 & 0.982164251839047 & 0.0356714963219054 & 0.0178357481609527 \tabularnewline
257 & 0.987461477119395 & 0.0250770457612093 & 0.0125385228806046 \tabularnewline
258 & 0.992791909927672 & 0.0144161801446557 & 0.00720809007232785 \tabularnewline
259 & 0.997300723116593 & 0.00539855376681356 & 0.00269927688340678 \tabularnewline
260 & 0.998694660624106 & 0.00261067875178788 & 0.00130533937589394 \tabularnewline
261 & 0.998417256855387 & 0.0031654862892269 & 0.00158274314461345 \tabularnewline
262 & 0.998150118374163 & 0.00369976325167315 & 0.00184988162583657 \tabularnewline
263 & 0.997908205579268 & 0.00418358884146339 & 0.0020917944207317 \tabularnewline
264 & 0.997514744579661 & 0.00497051084067798 & 0.00248525542033899 \tabularnewline
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485 & 0.441171294080731 & 0.882342588161461 & 0.558828705919269 \tabularnewline
486 & 0.376130888144847 & 0.752261776289695 & 0.623869111855152 \tabularnewline
487 & 0.309354355475791 & 0.618708710951582 & 0.690645644524209 \tabularnewline
488 & 0.285386016714178 & 0.570772033428355 & 0.714613983285822 \tabularnewline
489 & 0.27621491178166 & 0.55242982356332 & 0.72378508821834 \tabularnewline
490 & 0.219287710784584 & 0.438575421569168 & 0.780712289215416 \tabularnewline
491 & 0.151751507901572 & 0.303503015803143 & 0.848248492098428 \tabularnewline
492 & 0.102132503336356 & 0.204265006672712 & 0.897867496663644 \tabularnewline
493 & 0.088344437164619 & 0.176688874329238 & 0.911655562835381 \tabularnewline
494 & 0.0495166933885048 & 0.0990333867770096 & 0.950483306611495 \tabularnewline
495 & 0.0234911375137091 & 0.0469822750274182 & 0.976508862486291 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203022&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]26[/C][C]0.285570409565657[/C][C]0.571140819131315[/C][C]0.714429590434343[/C][/ROW]
[ROW][C]27[/C][C]0.150887028198757[/C][C]0.301774056397513[/C][C]0.849112971801243[/C][/ROW]
[ROW][C]28[/C][C]0.0727336915195093[/C][C]0.145467383039019[/C][C]0.927266308480491[/C][/ROW]
[ROW][C]29[/C][C]0.0333375777387567[/C][C]0.0666751554775135[/C][C]0.966662422261243[/C][/ROW]
[ROW][C]30[/C][C]0.0140056247214344[/C][C]0.0280112494428688[/C][C]0.985994375278566[/C][/ROW]
[ROW][C]31[/C][C]0.00570271940214021[/C][C]0.0114054388042804[/C][C]0.99429728059786[/C][/ROW]
[ROW][C]32[/C][C]0.00224374928031526[/C][C]0.00448749856063053[/C][C]0.997756250719685[/C][/ROW]
[ROW][C]33[/C][C]0.000808767232537468[/C][C]0.00161753446507494[/C][C]0.999191232767463[/C][/ROW]
[ROW][C]34[/C][C]0.00193184729675834[/C][C]0.00386369459351669[/C][C]0.998068152703242[/C][/ROW]
[ROW][C]35[/C][C]0.000841772130135938[/C][C]0.00168354426027188[/C][C]0.999158227869864[/C][/ROW]
[ROW][C]36[/C][C]0.000335219360804182[/C][C]0.000670438721608364[/C][C]0.999664780639196[/C][/ROW]
[ROW][C]37[/C][C]0.000131570888297628[/C][C]0.000263141776595255[/C][C]0.999868429111702[/C][/ROW]
[ROW][C]38[/C][C]6.29725344663114e-05[/C][C]0.000125945068932623[/C][C]0.999937027465534[/C][/ROW]
[ROW][C]39[/C][C]3.47431022422497e-05[/C][C]6.94862044844994e-05[/C][C]0.999965256897758[/C][/ROW]
[ROW][C]40[/C][C]2.27527672258019e-05[/C][C]4.55055344516038e-05[/C][C]0.999977247232774[/C][/ROW]
[ROW][C]41[/C][C]9.02568338520364e-06[/C][C]1.80513667704073e-05[/C][C]0.999990974316615[/C][/ROW]
[ROW][C]42[/C][C]3.76773839601789e-06[/C][C]7.53547679203578e-06[/C][C]0.999996232261604[/C][/ROW]
[ROW][C]43[/C][C]1.33368251020501e-06[/C][C]2.66736502041001e-06[/C][C]0.99999866631749[/C][/ROW]
[ROW][C]44[/C][C]4.61225878660774e-07[/C][C]9.22451757321548e-07[/C][C]0.999999538774121[/C][/ROW]
[ROW][C]45[/C][C]1.55868102598907e-07[/C][C]3.11736205197814e-07[/C][C]0.999999844131897[/C][/ROW]
[ROW][C]46[/C][C]1.46903199281679e-05[/C][C]2.93806398563357e-05[/C][C]0.999985309680072[/C][/ROW]
[ROW][C]47[/C][C]6.56810661043076e-06[/C][C]1.31362132208615e-05[/C][C]0.99999343189339[/C][/ROW]
[ROW][C]48[/C][C]2.97109389651259e-06[/C][C]5.94218779302518e-06[/C][C]0.999997028906104[/C][/ROW]
[ROW][C]49[/C][C]1.26674810617429e-06[/C][C]2.53349621234858e-06[/C][C]0.999998733251894[/C][/ROW]
[ROW][C]50[/C][C]5.2814405719273e-07[/C][C]1.05628811438546e-06[/C][C]0.999999471855943[/C][/ROW]
[ROW][C]51[/C][C]3.43264984412693e-07[/C][C]6.86529968825386e-07[/C][C]0.999999656735016[/C][/ROW]
[ROW][C]52[/C][C]6.36281531676334e-06[/C][C]1.27256306335267e-05[/C][C]0.999993637184683[/C][/ROW]
[ROW][C]53[/C][C]5.11754194372436e-06[/C][C]1.02350838874487e-05[/C][C]0.999994882458056[/C][/ROW]
[ROW][C]54[/C][C]2.41444283184733e-06[/C][C]4.82888566369467e-06[/C][C]0.999997585557168[/C][/ROW]
[ROW][C]55[/C][C]9.12769336753435e-06[/C][C]1.82553867350687e-05[/C][C]0.999990872306632[/C][/ROW]
[ROW][C]56[/C][C]8.69577213396654e-05[/C][C]0.000173915442679331[/C][C]0.99991304227866[/C][/ROW]
[ROW][C]57[/C][C]0.000176088320521074[/C][C]0.000352176641042148[/C][C]0.999823911679479[/C][/ROW]
[ROW][C]58[/C][C]0.000105056380759381[/C][C]0.000210112761518762[/C][C]0.999894943619241[/C][/ROW]
[ROW][C]59[/C][C]6.37770632178047e-05[/C][C]0.000127554126435609[/C][C]0.999936222936782[/C][/ROW]
[ROW][C]60[/C][C]3.557565957266e-05[/C][C]7.115131914532e-05[/C][C]0.999964424340427[/C][/ROW]
[ROW][C]61[/C][C]2.06955926654109e-05[/C][C]4.13911853308218e-05[/C][C]0.999979304407335[/C][/ROW]
[ROW][C]62[/C][C]1.34576687762821e-05[/C][C]2.69153375525642e-05[/C][C]0.999986542331224[/C][/ROW]
[ROW][C]63[/C][C]7.82183013794815e-06[/C][C]1.56436602758963e-05[/C][C]0.999992178169862[/C][/ROW]
[ROW][C]64[/C][C]4.35327499681671e-06[/C][C]8.70654999363341e-06[/C][C]0.999995646725003[/C][/ROW]
[ROW][C]65[/C][C]3.16446769129025e-06[/C][C]6.32893538258049e-06[/C][C]0.999996835532309[/C][/ROW]
[ROW][C]66[/C][C]7.13094889683331e-06[/C][C]1.42618977936666e-05[/C][C]0.999992869051103[/C][/ROW]
[ROW][C]67[/C][C]3.99956817155137e-06[/C][C]7.99913634310274e-06[/C][C]0.999996000431828[/C][/ROW]
[ROW][C]68[/C][C]2.60541705816063e-06[/C][C]5.21083411632127e-06[/C][C]0.999997394582942[/C][/ROW]
[ROW][C]69[/C][C]1.40884332621465e-06[/C][C]2.8176866524293e-06[/C][C]0.999998591156674[/C][/ROW]
[ROW][C]70[/C][C]9.39105909104874e-07[/C][C]1.87821181820975e-06[/C][C]0.999999060894091[/C][/ROW]
[ROW][C]71[/C][C]8.97939260523681e-07[/C][C]1.79587852104736e-06[/C][C]0.999999102060739[/C][/ROW]
[ROW][C]72[/C][C]4.94652350397302e-07[/C][C]9.89304700794605e-07[/C][C]0.99999950534765[/C][/ROW]
[ROW][C]73[/C][C]2.83467691725041e-07[/C][C]5.66935383450082e-07[/C][C]0.999999716532308[/C][/ROW]
[ROW][C]74[/C][C]1.63807627936469e-07[/C][C]3.27615255872938e-07[/C][C]0.999999836192372[/C][/ROW]
[ROW][C]75[/C][C]1.2858034849478e-07[/C][C]2.5716069698956e-07[/C][C]0.999999871419652[/C][/ROW]
[ROW][C]76[/C][C]2.0674755697988e-07[/C][C]4.13495113959759e-07[/C][C]0.999999793252443[/C][/ROW]
[ROW][C]77[/C][C]1.19294123402661e-07[/C][C]2.38588246805321e-07[/C][C]0.999999880705877[/C][/ROW]
[ROW][C]78[/C][C]7.02375133336808e-08[/C][C]1.40475026667362e-07[/C][C]0.999999929762487[/C][/ROW]
[ROW][C]79[/C][C]4.19311782826597e-08[/C][C]8.38623565653194e-08[/C][C]0.999999958068822[/C][/ROW]
[ROW][C]80[/C][C]2.17176685833628e-07[/C][C]4.34353371667257e-07[/C][C]0.999999782823314[/C][/ROW]
[ROW][C]81[/C][C]1.93549921113753e-06[/C][C]3.87099842227506e-06[/C][C]0.999998064500789[/C][/ROW]
[ROW][C]82[/C][C]0.0950057776884411[/C][C]0.190011555376882[/C][C]0.904994222311559[/C][/ROW]
[ROW][C]83[/C][C]0.1384410691509[/C][C]0.2768821383018[/C][C]0.8615589308491[/C][/ROW]
[ROW][C]84[/C][C]0.121040254434374[/C][C]0.242080508868748[/C][C]0.878959745565626[/C][/ROW]
[ROW][C]85[/C][C]0.142216169922481[/C][C]0.284432339844961[/C][C]0.857783830077519[/C][/ROW]
[ROW][C]86[/C][C]0.124782618831102[/C][C]0.249565237662204[/C][C]0.875217381168898[/C][/ROW]
[ROW][C]87[/C][C]0.151931524820366[/C][C]0.303863049640732[/C][C]0.848068475179634[/C][/ROW]
[ROW][C]88[/C][C]0.13298898743327[/C][C]0.26597797486654[/C][C]0.86701101256673[/C][/ROW]
[ROW][C]89[/C][C]0.162689027143641[/C][C]0.325378054287282[/C][C]0.837310972856359[/C][/ROW]
[ROW][C]90[/C][C]0.143831418055107[/C][C]0.287662836110213[/C][C]0.856168581944893[/C][/ROW]
[ROW][C]91[/C][C]0.124043531702658[/C][C]0.248087063405315[/C][C]0.875956468297342[/C][/ROW]
[ROW][C]92[/C][C]0.188626432389609[/C][C]0.377252864779218[/C][C]0.811373567610391[/C][/ROW]
[ROW][C]93[/C][C]0.166006123863603[/C][C]0.332012247727207[/C][C]0.833993876136397[/C][/ROW]
[ROW][C]94[/C][C]0.150332826163584[/C][C]0.300665652327168[/C][C]0.849667173836416[/C][/ROW]
[ROW][C]95[/C][C]0.146984614301559[/C][C]0.293969228603119[/C][C]0.853015385698441[/C][/ROW]
[ROW][C]96[/C][C]0.131720585385019[/C][C]0.263441170770039[/C][C]0.86827941461498[/C][/ROW]
[ROW][C]97[/C][C]0.118685673568366[/C][C]0.237371347136732[/C][C]0.881314326431634[/C][/ROW]
[ROW][C]98[/C][C]0.109834065295773[/C][C]0.219668130591545[/C][C]0.890165934704227[/C][/ROW]
[ROW][C]99[/C][C]0.0962391877482094[/C][C]0.192478375496419[/C][C]0.903760812251791[/C][/ROW]
[ROW][C]100[/C][C]0.0934165344065627[/C][C]0.186833068813125[/C][C]0.906583465593437[/C][/ROW]
[ROW][C]101[/C][C]0.0803967878267971[/C][C]0.160793575653594[/C][C]0.919603212173203[/C][/ROW]
[ROW][C]102[/C][C]0.128575559129723[/C][C]0.257151118259446[/C][C]0.871424440870277[/C][/ROW]
[ROW][C]103[/C][C]0.158793851309164[/C][C]0.317587702618327[/C][C]0.841206148690836[/C][/ROW]
[ROW][C]104[/C][C]0.138742743352941[/C][C]0.277485486705881[/C][C]0.861257256647059[/C][/ROW]
[ROW][C]105[/C][C]0.125901248268337[/C][C]0.251802496536674[/C][C]0.874098751731663[/C][/ROW]
[ROW][C]106[/C][C]0.125043328900142[/C][C]0.250086657800283[/C][C]0.874956671099858[/C][/ROW]
[ROW][C]107[/C][C]0.117131284288996[/C][C]0.234262568577992[/C][C]0.882868715711004[/C][/ROW]
[ROW][C]108[/C][C]0.129808744710109[/C][C]0.259617489420217[/C][C]0.870191255289891[/C][/ROW]
[ROW][C]109[/C][C]0.119871403118241[/C][C]0.239742806236481[/C][C]0.880128596881759[/C][/ROW]
[ROW][C]110[/C][C]0.121681568088358[/C][C]0.243363136176715[/C][C]0.878318431911642[/C][/ROW]
[ROW][C]111[/C][C]0.110342586975147[/C][C]0.220685173950293[/C][C]0.889657413024853[/C][/ROW]
[ROW][C]112[/C][C]0.0978076810302186[/C][C]0.195615362060437[/C][C]0.902192318969781[/C][/ROW]
[ROW][C]113[/C][C]0.0886621641106754[/C][C]0.177324328221351[/C][C]0.911337835889325[/C][/ROW]
[ROW][C]114[/C][C]0.07834546884381[/C][C]0.15669093768762[/C][C]0.92165453115619[/C][/ROW]
[ROW][C]115[/C][C]0.0725954500317029[/C][C]0.145190900063406[/C][C]0.927404549968297[/C][/ROW]
[ROW][C]116[/C][C]0.0695950820913565[/C][C]0.139190164182713[/C][C]0.930404917908644[/C][/ROW]
[ROW][C]117[/C][C]0.0662785916630494[/C][C]0.132557183326099[/C][C]0.933721408336951[/C][/ROW]
[ROW][C]118[/C][C]0.0564253295151973[/C][C]0.112850659030395[/C][C]0.943574670484803[/C][/ROW]
[ROW][C]119[/C][C]0.0477331034694261[/C][C]0.0954662069388521[/C][C]0.952266896530574[/C][/ROW]
[ROW][C]120[/C][C]0.0401650347661315[/C][C]0.080330069532263[/C][C]0.959834965233868[/C][/ROW]
[ROW][C]121[/C][C]0.0342203103076386[/C][C]0.0684406206152771[/C][C]0.965779689692361[/C][/ROW]
[ROW][C]122[/C][C]0.0297771628237012[/C][C]0.0595543256474023[/C][C]0.970222837176299[/C][/ROW]
[ROW][C]123[/C][C]0.0249228678289462[/C][C]0.0498457356578925[/C][C]0.975077132171054[/C][/ROW]
[ROW][C]124[/C][C]0.0207090661446207[/C][C]0.0414181322892414[/C][C]0.979290933855379[/C][/ROW]
[ROW][C]125[/C][C]0.0172177528218965[/C][C]0.0344355056437931[/C][C]0.982782247178103[/C][/ROW]
[ROW][C]126[/C][C]0.014029720481184[/C][C]0.0280594409623679[/C][C]0.985970279518816[/C][/ROW]
[ROW][C]127[/C][C]0.0115973075271448[/C][C]0.0231946150542896[/C][C]0.988402692472855[/C][/ROW]
[ROW][C]128[/C][C]0.00940515704137238[/C][C]0.0188103140827448[/C][C]0.990594842958628[/C][/ROW]
[ROW][C]129[/C][C]0.00758697725927554[/C][C]0.0151739545185511[/C][C]0.992413022740725[/C][/ROW]
[ROW][C]130[/C][C]0.00619560166586466[/C][C]0.0123912033317293[/C][C]0.993804398334135[/C][/ROW]
[ROW][C]131[/C][C]0.00493541076240734[/C][C]0.00987082152481468[/C][C]0.995064589237593[/C][/ROW]
[ROW][C]132[/C][C]0.00394562500576916[/C][C]0.00789125001153832[/C][C]0.996054374994231[/C][/ROW]
[ROW][C]133[/C][C]0.0045909612172753[/C][C]0.0091819224345506[/C][C]0.995409038782725[/C][/ROW]
[ROW][C]134[/C][C]0.004607037353099[/C][C]0.00921407470619801[/C][C]0.995392962646901[/C][/ROW]
[ROW][C]135[/C][C]0.00495618088520971[/C][C]0.00991236177041941[/C][C]0.99504381911479[/C][/ROW]
[ROW][C]136[/C][C]0.00470843204210725[/C][C]0.00941686408421451[/C][C]0.995291567957893[/C][/ROW]
[ROW][C]137[/C][C]0.00509108942871227[/C][C]0.0101821788574245[/C][C]0.994908910571288[/C][/ROW]
[ROW][C]138[/C][C]0.00438875271083909[/C][C]0.00877750542167817[/C][C]0.995611247289161[/C][/ROW]
[ROW][C]139[/C][C]0.00403371864084792[/C][C]0.00806743728169583[/C][C]0.995966281359152[/C][/ROW]
[ROW][C]140[/C][C]0.00362463371521938[/C][C]0.00724926743043877[/C][C]0.996375366284781[/C][/ROW]
[ROW][C]141[/C][C]0.00304813946201749[/C][C]0.00609627892403498[/C][C]0.996951860537982[/C][/ROW]
[ROW][C]142[/C][C]0.00244666133399385[/C][C]0.0048933226679877[/C][C]0.997553338666006[/C][/ROW]
[ROW][C]143[/C][C]0.00204725178612769[/C][C]0.00409450357225537[/C][C]0.997952748213872[/C][/ROW]
[ROW][C]144[/C][C]0.0036110269351903[/C][C]0.0072220538703806[/C][C]0.99638897306481[/C][/ROW]
[ROW][C]145[/C][C]0.00402372075979596[/C][C]0.00804744151959193[/C][C]0.995976279240204[/C][/ROW]
[ROW][C]146[/C][C]0.00398321572786427[/C][C]0.00796643145572854[/C][C]0.996016784272136[/C][/ROW]
[ROW][C]147[/C][C]0.00460540507367817[/C][C]0.00921081014735634[/C][C]0.995394594926322[/C][/ROW]
[ROW][C]148[/C][C]0.00376363778301636[/C][C]0.00752727556603273[/C][C]0.996236362216984[/C][/ROW]
[ROW][C]149[/C][C]0.00324992011226858[/C][C]0.00649984022453715[/C][C]0.996750079887731[/C][/ROW]
[ROW][C]150[/C][C]0.00261130955516814[/C][C]0.00522261911033627[/C][C]0.997388690444832[/C][/ROW]
[ROW][C]151[/C][C]0.00240341659763189[/C][C]0.00480683319526379[/C][C]0.997596583402368[/C][/ROW]
[ROW][C]152[/C][C]0.00198804160758254[/C][C]0.00397608321516509[/C][C]0.998011958392417[/C][/ROW]
[ROW][C]153[/C][C]0.00202784701927817[/C][C]0.00405569403855634[/C][C]0.997972152980722[/C][/ROW]
[ROW][C]154[/C][C]0.0136816955456349[/C][C]0.0273633910912698[/C][C]0.986318304454365[/C][/ROW]
[ROW][C]155[/C][C]0.0133435738489102[/C][C]0.0266871476978204[/C][C]0.98665642615109[/C][/ROW]
[ROW][C]156[/C][C]0.0123724142625226[/C][C]0.0247448285250452[/C][C]0.987627585737477[/C][/ROW]
[ROW][C]157[/C][C]0.0106444003784962[/C][C]0.0212888007569925[/C][C]0.989355599621504[/C][/ROW]
[ROW][C]158[/C][C]0.0114755783777565[/C][C]0.0229511567555131[/C][C]0.988524421622244[/C][/ROW]
[ROW][C]159[/C][C]0.0104446945986357[/C][C]0.0208893891972714[/C][C]0.989555305401364[/C][/ROW]
[ROW][C]160[/C][C]0.0111514390307688[/C][C]0.0223028780615377[/C][C]0.988848560969231[/C][/ROW]
[ROW][C]161[/C][C]0.0293463674933416[/C][C]0.0586927349866832[/C][C]0.970653632506658[/C][/ROW]
[ROW][C]162[/C][C]0.0256505980835393[/C][C]0.0513011961670787[/C][C]0.974349401916461[/C][/ROW]
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[ROW][C]427[/C][C]0.212575677859599[/C][C]0.425151355719199[/C][C]0.787424322140401[/C][/ROW]
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[ROW][C]434[/C][C]0.169715955373759[/C][C]0.339431910747518[/C][C]0.830284044626241[/C][/ROW]
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[ROW][C]440[/C][C]0.191726187501732[/C][C]0.383452375003464[/C][C]0.808273812498268[/C][/ROW]
[ROW][C]441[/C][C]0.179010072709781[/C][C]0.358020145419563[/C][C]0.820989927290219[/C][/ROW]
[ROW][C]442[/C][C]0.181999731048241[/C][C]0.363999462096482[/C][C]0.818000268951759[/C][/ROW]
[ROW][C]443[/C][C]0.160911997154004[/C][C]0.321823994308009[/C][C]0.839088002845996[/C][/ROW]
[ROW][C]444[/C][C]0.147269978740072[/C][C]0.294539957480144[/C][C]0.852730021259928[/C][/ROW]
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[ROW][C]446[/C][C]0.127536788582672[/C][C]0.255073577165345[/C][C]0.872463211417328[/C][/ROW]
[ROW][C]447[/C][C]0.108333319717541[/C][C]0.216666639435082[/C][C]0.891666680282459[/C][/ROW]
[ROW][C]448[/C][C]0.0929901548256283[/C][C]0.185980309651257[/C][C]0.907009845174372[/C][/ROW]
[ROW][C]449[/C][C]0.0871808243887478[/C][C]0.174361648777496[/C][C]0.912819175611252[/C][/ROW]
[ROW][C]450[/C][C]0.0773438616826843[/C][C]0.154687723365369[/C][C]0.922656138317316[/C][/ROW]
[ROW][C]451[/C][C]0.0653544377525048[/C][C]0.13070887550501[/C][C]0.934645562247495[/C][/ROW]
[ROW][C]452[/C][C]0.0566002744905192[/C][C]0.113200548981038[/C][C]0.943399725509481[/C][/ROW]
[ROW][C]453[/C][C]0.0645543350331048[/C][C]0.12910867006621[/C][C]0.935445664966895[/C][/ROW]
[ROW][C]454[/C][C]0.0656835095170811[/C][C]0.131367019034162[/C][C]0.934316490482919[/C][/ROW]
[ROW][C]455[/C][C]0.0905514476968743[/C][C]0.181102895393749[/C][C]0.909448552303126[/C][/ROW]
[ROW][C]456[/C][C]0.0805718221624501[/C][C]0.1611436443249[/C][C]0.91942817783755[/C][/ROW]
[ROW][C]457[/C][C]0.076258072107703[/C][C]0.152516144215406[/C][C]0.923741927892297[/C][/ROW]
[ROW][C]458[/C][C]0.157992659722477[/C][C]0.315985319444954[/C][C]0.842007340277523[/C][/ROW]
[ROW][C]459[/C][C]0.161768963815887[/C][C]0.323537927631774[/C][C]0.838231036184113[/C][/ROW]
[ROW][C]460[/C][C]0.163524207805579[/C][C]0.327048415611157[/C][C]0.836475792194421[/C][/ROW]
[ROW][C]461[/C][C]0.148165287608919[/C][C]0.296330575217837[/C][C]0.851834712391081[/C][/ROW]
[ROW][C]462[/C][C]0.128929330626574[/C][C]0.257858661253147[/C][C]0.871070669373426[/C][/ROW]
[ROW][C]463[/C][C]0.11073303164425[/C][C]0.2214660632885[/C][C]0.88926696835575[/C][/ROW]
[ROW][C]464[/C][C]0.095772274985544[/C][C]0.191544549971088[/C][C]0.904227725014456[/C][/ROW]
[ROW][C]465[/C][C]0.096169879685664[/C][C]0.192339759371328[/C][C]0.903830120314336[/C][/ROW]
[ROW][C]466[/C][C]0.104241482293776[/C][C]0.208482964587551[/C][C]0.895758517706224[/C][/ROW]
[ROW][C]467[/C][C]0.294585567225313[/C][C]0.589171134450627[/C][C]0.705414432774687[/C][/ROW]
[ROW][C]468[/C][C]0.263556452320077[/C][C]0.527112904640154[/C][C]0.736443547679923[/C][/ROW]
[ROW][C]469[/C][C]0.245430439896834[/C][C]0.490860879793668[/C][C]0.754569560103166[/C][/ROW]
[ROW][C]470[/C][C]0.224634838230626[/C][C]0.449269676461253[/C][C]0.775365161769374[/C][/ROW]
[ROW][C]471[/C][C]0.259140598510331[/C][C]0.518281197020663[/C][C]0.740859401489669[/C][/ROW]
[ROW][C]472[/C][C]0.494900270506621[/C][C]0.989800541013242[/C][C]0.505099729493379[/C][/ROW]
[ROW][C]473[/C][C]0.557281477950762[/C][C]0.885437044098476[/C][C]0.442718522049238[/C][/ROW]
[ROW][C]474[/C][C]0.528921309866147[/C][C]0.942157380267705[/C][C]0.471078690133853[/C][/ROW]
[ROW][C]475[/C][C]0.468743167074756[/C][C]0.937486334149512[/C][C]0.531256832925244[/C][/ROW]
[ROW][C]476[/C][C]0.705225858575186[/C][C]0.589548282849628[/C][C]0.294774141424814[/C][/ROW]
[ROW][C]477[/C][C]0.715744511890218[/C][C]0.568510976219565[/C][C]0.284255488109782[/C][/ROW]
[ROW][C]478[/C][C]0.75223602532329[/C][C]0.49552794935342[/C][C]0.24776397467671[/C][/ROW]
[ROW][C]479[/C][C]0.696622295188116[/C][C]0.606755409623769[/C][C]0.303377704811884[/C][/ROW]
[ROW][C]480[/C][C]0.667030875759007[/C][C]0.665938248481987[/C][C]0.332969124240993[/C][/ROW]
[ROW][C]481[/C][C]0.660900775540578[/C][C]0.678198448918844[/C][C]0.339099224459422[/C][/ROW]
[ROW][C]482[/C][C]0.596382224633047[/C][C]0.807235550733906[/C][C]0.403617775366953[/C][/ROW]
[ROW][C]483[/C][C]0.522866865773805[/C][C]0.954266268452391[/C][C]0.477133134226195[/C][/ROW]
[ROW][C]484[/C][C]0.499421022674806[/C][C]0.998842045349613[/C][C]0.500578977325194[/C][/ROW]
[ROW][C]485[/C][C]0.441171294080731[/C][C]0.882342588161461[/C][C]0.558828705919269[/C][/ROW]
[ROW][C]486[/C][C]0.376130888144847[/C][C]0.752261776289695[/C][C]0.623869111855152[/C][/ROW]
[ROW][C]487[/C][C]0.309354355475791[/C][C]0.618708710951582[/C][C]0.690645644524209[/C][/ROW]
[ROW][C]488[/C][C]0.285386016714178[/C][C]0.570772033428355[/C][C]0.714613983285822[/C][/ROW]
[ROW][C]489[/C][C]0.27621491178166[/C][C]0.55242982356332[/C][C]0.72378508821834[/C][/ROW]
[ROW][C]490[/C][C]0.219287710784584[/C][C]0.438575421569168[/C][C]0.780712289215416[/C][/ROW]
[ROW][C]491[/C][C]0.151751507901572[/C][C]0.303503015803143[/C][C]0.848248492098428[/C][/ROW]
[ROW][C]492[/C][C]0.102132503336356[/C][C]0.204265006672712[/C][C]0.897867496663644[/C][/ROW]
[ROW][C]493[/C][C]0.088344437164619[/C][C]0.176688874329238[/C][C]0.911655562835381[/C][/ROW]
[ROW][C]494[/C][C]0.0495166933885048[/C][C]0.0990333867770096[/C][C]0.950483306611495[/C][/ROW]
[ROW][C]495[/C][C]0.0234911375137091[/C][C]0.0469822750274182[/C][C]0.976508862486291[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203022&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203022&T=5

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
260.2855704095656570.5711408191313150.714429590434343
270.1508870281987570.3017740563975130.849112971801243
280.07273369151950930.1454673830390190.927266308480491
290.03333757773875670.06667515547751350.966662422261243
300.01400562472143440.02801124944286880.985994375278566
310.005702719402140210.01140543880428040.99429728059786
320.002243749280315260.004487498560630530.997756250719685
330.0008087672325374680.001617534465074940.999191232767463
340.001931847296758340.003863694593516690.998068152703242
350.0008417721301359380.001683544260271880.999158227869864
360.0003352193608041820.0006704387216083640.999664780639196
370.0001315708882976280.0002631417765952550.999868429111702
386.29725344663114e-050.0001259450689326230.999937027465534
393.47431022422497e-056.94862044844994e-050.999965256897758
402.27527672258019e-054.55055344516038e-050.999977247232774
419.02568338520364e-061.80513667704073e-050.999990974316615
423.76773839601789e-067.53547679203578e-060.999996232261604
431.33368251020501e-062.66736502041001e-060.99999866631749
444.61225878660774e-079.22451757321548e-070.999999538774121
451.55868102598907e-073.11736205197814e-070.999999844131897
461.46903199281679e-052.93806398563357e-050.999985309680072
476.56810661043076e-061.31362132208615e-050.99999343189339
482.97109389651259e-065.94218779302518e-060.999997028906104
491.26674810617429e-062.53349621234858e-060.999998733251894
505.2814405719273e-071.05628811438546e-060.999999471855943
513.43264984412693e-076.86529968825386e-070.999999656735016
526.36281531676334e-061.27256306335267e-050.999993637184683
535.11754194372436e-061.02350838874487e-050.999994882458056
542.41444283184733e-064.82888566369467e-060.999997585557168
559.12769336753435e-061.82553867350687e-050.999990872306632
568.69577213396654e-050.0001739154426793310.99991304227866
570.0001760883205210740.0003521766410421480.999823911679479
580.0001050563807593810.0002101127615187620.999894943619241
596.37770632178047e-050.0001275541264356090.999936222936782
603.557565957266e-057.115131914532e-050.999964424340427
612.06955926654109e-054.13911853308218e-050.999979304407335
621.34576687762821e-052.69153375525642e-050.999986542331224
637.82183013794815e-061.56436602758963e-050.999992178169862
644.35327499681671e-068.70654999363341e-060.999995646725003
653.16446769129025e-066.32893538258049e-060.999996835532309
667.13094889683331e-061.42618977936666e-050.999992869051103
673.99956817155137e-067.99913634310274e-060.999996000431828
682.60541705816063e-065.21083411632127e-060.999997394582942
691.40884332621465e-062.8176866524293e-060.999998591156674
709.39105909104874e-071.87821181820975e-060.999999060894091
718.97939260523681e-071.79587852104736e-060.999999102060739
724.94652350397302e-079.89304700794605e-070.99999950534765
732.83467691725041e-075.66935383450082e-070.999999716532308
741.63807627936469e-073.27615255872938e-070.999999836192372
751.2858034849478e-072.5716069698956e-070.999999871419652
762.0674755697988e-074.13495113959759e-070.999999793252443
771.19294123402661e-072.38588246805321e-070.999999880705877
787.02375133336808e-081.40475026667362e-070.999999929762487
794.19311782826597e-088.38623565653194e-080.999999958068822
802.17176685833628e-074.34353371667257e-070.999999782823314
811.93549921113753e-063.87099842227506e-060.999998064500789
820.09500577768844110.1900115553768820.904994222311559
830.13844106915090.27688213830180.8615589308491
840.1210402544343740.2420805088687480.878959745565626
850.1422161699224810.2844323398449610.857783830077519
860.1247826188311020.2495652376622040.875217381168898
870.1519315248203660.3038630496407320.848068475179634
880.132988987433270.265977974866540.86701101256673
890.1626890271436410.3253780542872820.837310972856359
900.1438314180551070.2876628361102130.856168581944893
910.1240435317026580.2480870634053150.875956468297342
920.1886264323896090.3772528647792180.811373567610391
930.1660061238636030.3320122477272070.833993876136397
940.1503328261635840.3006656523271680.849667173836416
950.1469846143015590.2939692286031190.853015385698441
960.1317205853850190.2634411707700390.86827941461498
970.1186856735683660.2373713471367320.881314326431634
980.1098340652957730.2196681305915450.890165934704227
990.09623918774820940.1924783754964190.903760812251791
1000.09341653440656270.1868330688131250.906583465593437
1010.08039678782679710.1607935756535940.919603212173203
1020.1285755591297230.2571511182594460.871424440870277
1030.1587938513091640.3175877026183270.841206148690836
1040.1387427433529410.2774854867058810.861257256647059
1050.1259012482683370.2518024965366740.874098751731663
1060.1250433289001420.2500866578002830.874956671099858
1070.1171312842889960.2342625685779920.882868715711004
1080.1298087447101090.2596174894202170.870191255289891
1090.1198714031182410.2397428062364810.880128596881759
1100.1216815680883580.2433631361767150.878318431911642
1110.1103425869751470.2206851739502930.889657413024853
1120.09780768103021860.1956153620604370.902192318969781
1130.08866216411067540.1773243282213510.911337835889325
1140.078345468843810.156690937687620.92165453115619
1150.07259545003170290.1451909000634060.927404549968297
1160.06959508209135650.1391901641827130.930404917908644
1170.06627859166304940.1325571833260990.933721408336951
1180.05642532951519730.1128506590303950.943574670484803
1190.04773310346942610.09546620693885210.952266896530574
1200.04016503476613150.0803300695322630.959834965233868
1210.03422031030763860.06844062061527710.965779689692361
1220.02977716282370120.05955432564740230.970222837176299
1230.02492286782894620.04984573565789250.975077132171054
1240.02070906614462070.04141813228924140.979290933855379
1250.01721775282189650.03443550564379310.982782247178103
1260.0140297204811840.02805944096236790.985970279518816
1270.01159730752714480.02319461505428960.988402692472855
1280.009405157041372380.01881031408274480.990594842958628
1290.007586977259275540.01517395451855110.992413022740725
1300.006195601665864660.01239120333172930.993804398334135
1310.004935410762407340.009870821524814680.995064589237593
1320.003945625005769160.007891250011538320.996054374994231
1330.00459096121727530.00918192243455060.995409038782725
1340.0046070373530990.009214074706198010.995392962646901
1350.004956180885209710.009912361770419410.99504381911479
1360.004708432042107250.009416864084214510.995291567957893
1370.005091089428712270.01018217885742450.994908910571288
1380.004388752710839090.008777505421678170.995611247289161
1390.004033718640847920.008067437281695830.995966281359152
1400.003624633715219380.007249267430438770.996375366284781
1410.003048139462017490.006096278924034980.996951860537982
1420.002446661333993850.00489332266798770.997553338666006
1430.002047251786127690.004094503572255370.997952748213872
1440.00361102693519030.00722205387038060.99638897306481
1450.004023720759795960.008047441519591930.995976279240204
1460.003983215727864270.007966431455728540.996016784272136
1470.004605405073678170.009210810147356340.995394594926322
1480.003763637783016360.007527275566032730.996236362216984
1490.003249920112268580.006499840224537150.996750079887731
1500.002611309555168140.005222619110336270.997388690444832
1510.002403416597631890.004806833195263790.997596583402368
1520.001988041607582540.003976083215165090.998011958392417
1530.002027847019278170.004055694038556340.997972152980722
1540.01368169554563490.02736339109126980.986318304454365
1550.01334357384891020.02668714769782040.98665642615109
1560.01237241426252260.02474482852504520.987627585737477
1570.01064440037849620.02128880075699250.989355599621504
1580.01147557837775650.02295115675551310.988524421622244
1590.01044469459863570.02088938919727140.989555305401364
1600.01115143903076880.02230287806153770.988848560969231
1610.02934636749334160.05869273498668320.970653632506658
1620.02565059808353930.05130119616707870.974349401916461
1630.02193666698738470.04387333397476940.978063333012615
1640.02143038455496390.04286076910992770.978569615445036
1650.02119814518223070.04239629036446140.978801854817769
1660.01922983693089010.03845967386178020.98077016306911
1670.02167553794442580.04335107588885170.978324462055574
1680.01984606681385130.03969213362770260.980153933186149
1690.0238809852527880.04776197050557610.976119014747212
1700.1766749324775070.3533498649550140.823325067522493
1710.1920486262339860.3840972524679730.807951373766014
1720.179250700067730.3585014001354610.82074929993227
1730.1658831429090440.3317662858180880.834116857090956
1740.2270856509489920.4541713018979830.772914349051008
1750.3553731974410970.7107463948821950.644626802558903
1760.3829673708387610.7659347416775210.617032629161239
1770.4178995648998450.8357991297996910.582100435100155
1780.3939514861208940.7879029722417890.606048513879106
1790.3692762506401050.738552501280210.630723749359895
1800.4223129626046540.8446259252093070.577687037395346
1810.6654113827530730.6691772344938540.334588617246927
1820.6440484992494590.7119030015010830.355951500750541
1830.6891481781869160.6217036436261680.310851821813084
1840.6656680994735530.6686638010528940.334331900526447
1850.6428461862711740.7143076274576520.357153813728826
1860.6404628103278090.7190743793443810.359537189672191
1870.6191637556071260.7616724887857480.380836244392874
1880.5995228928424910.8009542143150170.400477107157508
1890.7286372692383660.5427254615232670.271362730761634
1900.7059037545033930.5881924909932130.294096245496607
1910.6977221458882730.6045557082234540.302277854111727
1920.8735128481369940.2529743037260110.126487151863006
1930.8707275350077010.2585449299845980.129272464992299
1940.8690524649151240.2618950701697530.130947535084876
1950.8578021888996940.2843956222006130.142197811100306
1960.8444018198966690.3111963602066610.155598180103331
1970.8949814226236370.2100371547527260.105018577376363
1980.8827823185031110.2344353629937790.117217681496889
1990.8767570272790010.2464859454419990.123242972720999
2000.8666073691711390.2667852616577210.133392630828861
2010.8522676618094110.2954646763811780.147732338190589
2020.8778866577028940.2442266845942120.122113342297106
2030.8683990479450160.2632019041099690.131600952054984
2040.8552300919549220.2895398160901560.144769908045078
2050.8443938759648120.3112122480703750.155606124035188
2060.8325405768956680.3349188462086630.167459423104332
2070.8960674537665810.2078650924668380.103932546233419
2080.8960412225731190.2079175548537610.103958777426881
2090.9311915796075310.1376168407849380.0688084203924691
2100.9348917399195230.1302165201609540.0651082600804772
2110.9440685302839730.1118629394320540.0559314697160269
2120.9374473899221310.1251052201557380.0625526100778691
2130.9337871916327940.1324256167344110.0662128083672057
2140.9299527940893390.1400944118213220.0700472059106611
2150.9222226444228420.1555547111543170.0777773555771583
2160.9845500072070410.03089998558591730.0154499927929586
2170.9826155356663450.03476892866731090.0173844643336555
2180.9851762288015950.0296475423968110.0148237711984055
2190.9904888054825850.01902238903482970.00951119451741483
2200.9894646635290340.02107067294193280.0105353364709664
2210.9895773651703370.02084526965932640.0104226348296632
2220.9888038131908160.02239237361836880.0111961868091844
2230.9887013168407640.02259736631847130.0112986831592356
2240.988321314580520.02335737083895990.0116786854194799
2250.9875501999497320.02489960010053540.0124498000502677
2260.9902460427414160.01950791451716770.00975395725858386
2270.989052620584180.021894758831640.01094737941582
2280.9870790843154380.02584183136912360.0129209156845618
2290.9862877367958790.02742452640824250.0137122632041212
2300.9866110311203070.02677793775938590.013388968879693
2310.9850299492778570.02994010144428670.0149700507221433
2320.9824474417170650.03510511656587060.0175525582829353
2330.9803718388427730.03925632231445310.0196281611572265
2340.9820248321272160.03595033574556850.0179751678727842
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Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level870.185106382978723NOK
5% type I error level1850.393617021276596NOK
10% type I error level2150.457446808510638NOK

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
Description & # significant tests & % significant tests & OK/NOK \tabularnewline
1% type I error level & 87 & 0.185106382978723 & NOK \tabularnewline
5% type I error level & 185 & 0.393617021276596 & NOK \tabularnewline
10% type I error level & 215 & 0.457446808510638 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203022&T=6

[TABLE]
[ROW][C]Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]Description[/C][C]# significant tests[/C][C]% significant tests[/C][C]OK/NOK[/C][/ROW]
[ROW][C]1% type I error level[/C][C]87[/C][C]0.185106382978723[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]185[/C][C]0.393617021276596[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]215[/C][C]0.457446808510638[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203022&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203022&T=6

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level870.185106382978723NOK
5% type I error level1850.393617021276596NOK
10% type I error level2150.457446808510638NOK



Parameters (Session):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
R code (references can be found in the software module):
library(lattice)
library(lmtest)
n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
par1 <- as.numeric(par1)
x <- t(y)
k <- length(x[1,])
n <- length(x[,1])
x1 <- cbind(x[,par1], x[,1:k!=par1])
mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1])
colnames(x1) <- mycolnames #colnames(x)[par1]
x <- x1
if (par3 == 'First Differences'){
x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep='')))
for (i in 1:n-1) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
}
if (par2 == 'Include Monthly Dummies'){
x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep ='')))
for (i in 1:11){
x2[seq(i,n,12),i] <- 1
}
x <- cbind(x, x2)
}
if (par2 == 'Include Quarterly Dummies'){
x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep ='')))
for (i in 1:3){
x2[seq(i,n,4),i] <- 1
}
x <- cbind(x, x2)
}
k <- length(x[1,])
if (par3 == 'Linear Trend'){
x <- cbind(x, c(1:n))
colnames(x)[k+1] <- 't'
}
x
k <- length(x[1,])
df <- as.data.frame(x)
(mylm <- lm(df))
(mysum <- summary(mylm))
if (n > n25) {
kp3 <- k + 3
nmkm3 <- n - k - 3
gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
numgqtests <- 0
numsignificant1 <- 0
numsignificant5 <- 0
numsignificant10 <- 0
for (mypoint in kp3:nmkm3) {
j <- 0
numgqtests <- numgqtests + 1
for (myalt in c('greater', 'two.sided', 'less')) {
j <- j + 1
gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value
}
if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1
if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1
if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1
}
gqarr
}
bitmap(file='test0.png')
plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')
points(x[,1]-mysum$resid)
grid()
dev.off()
bitmap(file='test1.png')
plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
grid()
dev.off()
bitmap(file='test2.png')
hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
grid()
dev.off()
bitmap(file='test3.png')
densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
dev.off()
bitmap(file='test4.png')
qqnorm(mysum$resid, main='Residual Normal Q-Q Plot')
qqline(mysum$resid)
grid()
dev.off()
(myerror <- as.ts(mysum$resid))
bitmap(file='test5.png')
dum <- cbind(lag(myerror,k=1),myerror)
dum
dum1 <- dum[2:length(myerror),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
lines(lowess(z))
abline(lm(z))
grid()
dev.off()
bitmap(file='test6.png')
acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
grid()
dev.off()
bitmap(file='test7.png')
pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
grid()
dev.off()
bitmap(file='test8.png')
opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
plot(mylm, las = 1, sub='Residual Diagnostics')
par(opar)
dev.off()
if (n > n25) {
bitmap(file='test9.png')
plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
grid()
dev.off()
}
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
a<-table.row.end(a)
myeq <- colnames(x)[1]
myeq <- paste(myeq, '[t] = ', sep='')
for (i in 1:k){
if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, mysum$coefficients[i,1], sep=' ')
if (rownames(mysum$coefficients)[i] != '(Intercept)') {
myeq <- paste(myeq, rownames(mysum$coefficients)[i], sep='')
if (rownames(mysum$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='')
}
}
myeq <- paste(myeq, ' + e[t]')
a<-table.row.start(a)
a<-table.element(a, myeq)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',header=TRUE)
a<-table.element(a,'Parameter',header=TRUE)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE)
a<-table.element(a,'2-tail p-value',header=TRUE)
a<-table.element(a,'1-tail p-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:k){
a<-table.row.start(a)
a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE)
a<-table.element(a,mysum$coefficients[i,1])
a<-table.element(a, round(mysum$coefficients[i,2],6))
a<-table.element(a, round(mysum$coefficients[i,3],4))
a<-table.element(a, round(mysum$coefficients[i,4],6))
a<-table.element(a, round(mysum$coefficients[i,4]/2,6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a, sqrt(mysum$r.squared))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a, mysum$r.squared)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a, mysum$adj.r.squared)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a, mysum$fstatistic[1])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, mysum$fstatistic[2])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
a<-table.element(a, mysum$fstatistic[3])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a, 1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Residual Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Residual Standard Deviation',1,TRUE)
a<-table.element(a, mysum$sigma)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a, sum(myerror*myerror))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,x[i])
a<-table.element(a,x[i]-mysum$resid[i])
a<-table.element(a,mysum$resid[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable4.tab')
if (n > n25) {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-values',header=TRUE)
a<-table.element(a,'Alternative Hypothesis',3,header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'breakpoint index',header=TRUE)
a<-table.element(a,'greater',header=TRUE)
a<-table.element(a,'2-sided',header=TRUE)
a<-table.element(a,'less',header=TRUE)
a<-table.row.end(a)
for (mypoint in kp3:nmkm3) {
a<-table.row.start(a)
a<-table.element(a,mypoint,header=TRUE)
a<-table.element(a,gqarr[mypoint-kp3+1,1])
a<-table.element(a,gqarr[mypoint-kp3+1,2])
a<-table.element(a,gqarr[mypoint-kp3+1,3])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable5.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Description',header=TRUE)
a<-table.element(a,'# significant tests',header=TRUE)
a<-table.element(a,'% significant tests',header=TRUE)
a<-table.element(a,'OK/NOK',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'1% type I error level',header=TRUE)
a<-table.element(a,numsignificant1)
a<-table.element(a,numsignificant1/numgqtests)
if (numsignificant1/numgqtests < 0.01) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'5% type I error level',header=TRUE)
a<-table.element(a,numsignificant5)
a<-table.element(a,numsignificant5/numgqtests)
if (numsignificant5/numgqtests < 0.05) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'10% type I error level',header=TRUE)
a<-table.element(a,numsignificant10)
a<-table.element(a,numsignificant10/numgqtests)
if (numsignificant10/numgqtests < 0.1) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable6.tab')
}