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 13:43:43 -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/t1356029304e647qgnrx11p6pj.htm/, Retrieved Fri, 01 Nov 2024 00:38:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=203011, Retrieved Fri, 01 Nov 2024 00:38:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact189
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [model 0] [2012-11-16 09:42:40] [74be16979710d4c4e7c6647856088456]
- R       [Multiple Regression] [] [2012-12-20 18:43:43] [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
9	1	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0
8	1	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0
5	1	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0
3	1	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0
4	0	0	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0
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0	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0
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9	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0
11	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0
9	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0
5	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0
8	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1	0	0	0
10	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0
5	1	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0
8	1	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0
10	1	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0
7	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1	0	0	0
2	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0
7	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0
2	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0	0	0
5	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0
5	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0
4	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	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	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0
3	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0
5	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0
2	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0
9	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0
2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0
0	0	0	1	0	0	0	0	0	0	0	0	0	0	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
2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0
0	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0
0	0	0	1	0	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	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	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	1	0	0	0	0	0	1	0	0	0	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	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	1	0	0	0	0	0	1	0	0	0	0	0
0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1
3	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0
2	1	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0
4	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1
3	1	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0
1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1
16	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	1
6	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0
9	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1
9	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0
0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0
9	1	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0
8	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	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	0	0	1	0	0	0	0	0	0
12	1	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0
10	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0
7	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0
13	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0
16	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0
6	0	0	0	0	0	0	0	0	0	0	0	1	0	0	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
5	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1	0	0	0
9	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0
11	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	0
11	1	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0
13	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0
13	1	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0
0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0
12	0	0	0	0	1	0	0	0	0	0	0	0	0	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
2	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0	0	0
2	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0
12	1	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1
7	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	1	0	0	0	0	0	0	0	0	0	1	0
0	1	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0
6	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0	0	0
14	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0
10	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0
11	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1
4	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1
8	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1	0	0	0
12	0	0	0	0	0	0	0	1	0	0	0	0	0	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	0
10	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0
14	1	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	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	0	0	0	0	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
9	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0
12	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0
9	1	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0
6	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	0
12	1	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1
17	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0
10	1	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0
12	1	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0
19	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0
12	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1
11	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0
9	0	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0
5	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0
12	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1
5	1	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1
5	1	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0
10	0	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0
9	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1
9	0	0	0	0	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0
14	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0
22	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	0
17	0	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0
13	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0
8	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1	0	0	0
0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1	0	0	0
12	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1
0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1
3	1	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0
4	1	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0
10	1	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0
10	1	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0
12	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0
14	1	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0
14	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0
5	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0	0	0
15	0	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0
7	1	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1
15	1	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0
15	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0
11	0	0	0	0	0	0	0	1	0	0	0	0	0	0	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	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0
5	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0
5	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0
4	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0
7	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	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
2	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time52 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 52 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203011&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]52 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203011&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203011&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 time52 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net







Multiple Linear Regression - Estimated Regression Equation
y[t] = + 5.50037152726293 + 3.28364572828366c2[t] -2.71338117693772scha05[t] -0.837878113552383sch06[t] -0.60236711052184sch31[t] + 2.03336023820683sch00[t] -0.389613403801119sch53[t] -2.27480675996308sch16[t] -0.344172903048142sch41[t] + 0.0140368823640934sch17[t] + 3.15918034829807sch40[t] -2.89223251402696sch10[t] -1.75179745448991sch01[t] + 0.543943747497602hak3[t] -0.151397832789976hak5[t] -0.894738342774741hak0[t] -0.176890956777217hak6[t] -2.99897876256607hak8[t] -1.08114885245437hak7[t] -1.03008207191892hak4[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
y[t] =  +  5.50037152726293 +  3.28364572828366c2[t] -2.71338117693772scha05[t] -0.837878113552383sch06[t] -0.60236711052184sch31[t] +  2.03336023820683sch00[t] -0.389613403801119sch53[t] -2.27480675996308sch16[t] -0.344172903048142sch41[t] +  0.0140368823640934sch17[t] +  3.15918034829807sch40[t] -2.89223251402696sch10[t] -1.75179745448991sch01[t] +  0.543943747497602hak3[t] -0.151397832789976hak5[t] -0.894738342774741hak0[t] -0.176890956777217hak6[t] -2.99897876256607hak8[t] -1.08114885245437hak7[t] -1.03008207191892hak4[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203011&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]y[t] =  +  5.50037152726293 +  3.28364572828366c2[t] -2.71338117693772scha05[t] -0.837878113552383sch06[t] -0.60236711052184sch31[t] +  2.03336023820683sch00[t] -0.389613403801119sch53[t] -2.27480675996308sch16[t] -0.344172903048142sch41[t] +  0.0140368823640934sch17[t] +  3.15918034829807sch40[t] -2.89223251402696sch10[t] -1.75179745448991sch01[t] +  0.543943747497602hak3[t] -0.151397832789976hak5[t] -0.894738342774741hak0[t] -0.176890956777217hak6[t] -2.99897876256607hak8[t] -1.08114885245437hak7[t] -1.03008207191892hak4[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203011&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203011&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] = + 5.50037152726293 + 3.28364572828366c2[t] -2.71338117693772scha05[t] -0.837878113552383sch06[t] -0.60236711052184sch31[t] + 2.03336023820683sch00[t] -0.389613403801119sch53[t] -2.27480675996308sch16[t] -0.344172903048142sch41[t] + 0.0140368823640934sch17[t] + 3.15918034829807sch40[t] -2.89223251402696sch10[t] -1.75179745448991sch01[t] + 0.543943747497602hak3[t] -0.151397832789976hak5[t] -0.894738342774741hak0[t] -0.176890956777217hak6[t] -2.99897876256607hak8[t] -1.08114885245437hak7[t] -1.03008207191892hak4[t] + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)5.500371527262930.618968.886500
c23.283645728283660.6832174.80622e-061e-06
scha05-2.713381176937721.281362-2.11760.0347030.017351
sch06-0.8378781135523831.042064-0.80410.4217460.210873
sch31-0.602367110521841.202005-0.50110.6164960.308248
sch002.033360238206830.9916462.05050.0408360.020418
sch53-0.3896134038011191.147767-0.33950.734410.367205
sch16-2.274806759963082.022098-1.1250.2611390.130569
sch41-0.3441729030481420.76465-0.45010.6528290.326415
sch170.01403688236409341.5125840.00930.9925990.4963
sch403.159180348298070.7437984.24742.6e-051.3e-05
sch10-2.892232514026961.079626-2.67890.0076290.003814
sch01-1.751797454489910.919679-1.90480.0573790.02869
hak30.5439437474976020.9744270.55820.5769440.288472
hak5-0.1513978327899760.695789-0.21760.8278360.413918
hak0-0.8947383427747411.299497-0.68850.491440.24572
hak6-0.1768909567772170.798409-0.22160.8247510.412376
hak8-2.998978762566070.927591-3.23310.0013050.000653
hak7-1.081148852454370.750941-1.43970.150570.075285
hak4-1.030082071918920.89787-1.14730.2518250.125913

\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) & 5.50037152726293 & 0.61896 & 8.8865 & 0 & 0 \tabularnewline
c2 & 3.28364572828366 & 0.683217 & 4.8062 & 2e-06 & 1e-06 \tabularnewline
scha05 & -2.71338117693772 & 1.281362 & -2.1176 & 0.034703 & 0.017351 \tabularnewline
sch06 & -0.837878113552383 & 1.042064 & -0.8041 & 0.421746 & 0.210873 \tabularnewline
sch31 & -0.60236711052184 & 1.202005 & -0.5011 & 0.616496 & 0.308248 \tabularnewline
sch00 & 2.03336023820683 & 0.991646 & 2.0505 & 0.040836 & 0.020418 \tabularnewline
sch53 & -0.389613403801119 & 1.147767 & -0.3395 & 0.73441 & 0.367205 \tabularnewline
sch16 & -2.27480675996308 & 2.022098 & -1.125 & 0.261139 & 0.130569 \tabularnewline
sch41 & -0.344172903048142 & 0.76465 & -0.4501 & 0.652829 & 0.326415 \tabularnewline
sch17 & 0.0140368823640934 & 1.512584 & 0.0093 & 0.992599 & 0.4963 \tabularnewline
sch40 & 3.15918034829807 & 0.743798 & 4.2474 & 2.6e-05 & 1.3e-05 \tabularnewline
sch10 & -2.89223251402696 & 1.079626 & -2.6789 & 0.007629 & 0.003814 \tabularnewline
sch01 & -1.75179745448991 & 0.919679 & -1.9048 & 0.057379 & 0.02869 \tabularnewline
hak3 & 0.543943747497602 & 0.974427 & 0.5582 & 0.576944 & 0.288472 \tabularnewline
hak5 & -0.151397832789976 & 0.695789 & -0.2176 & 0.827836 & 0.413918 \tabularnewline
hak0 & -0.894738342774741 & 1.299497 & -0.6885 & 0.49144 & 0.24572 \tabularnewline
hak6 & -0.176890956777217 & 0.798409 & -0.2216 & 0.824751 & 0.412376 \tabularnewline
hak8 & -2.99897876256607 & 0.927591 & -3.2331 & 0.001305 & 0.000653 \tabularnewline
hak7 & -1.08114885245437 & 0.750941 & -1.4397 & 0.15057 & 0.075285 \tabularnewline
hak4 & -1.03008207191892 & 0.89787 & -1.1473 & 0.251825 & 0.125913 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203011&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]5.50037152726293[/C][C]0.61896[/C][C]8.8865[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]c2[/C][C]3.28364572828366[/C][C]0.683217[/C][C]4.8062[/C][C]2e-06[/C][C]1e-06[/C][/ROW]
[ROW][C]scha05[/C][C]-2.71338117693772[/C][C]1.281362[/C][C]-2.1176[/C][C]0.034703[/C][C]0.017351[/C][/ROW]
[ROW][C]sch06[/C][C]-0.837878113552383[/C][C]1.042064[/C][C]-0.8041[/C][C]0.421746[/C][C]0.210873[/C][/ROW]
[ROW][C]sch31[/C][C]-0.60236711052184[/C][C]1.202005[/C][C]-0.5011[/C][C]0.616496[/C][C]0.308248[/C][/ROW]
[ROW][C]sch00[/C][C]2.03336023820683[/C][C]0.991646[/C][C]2.0505[/C][C]0.040836[/C][C]0.020418[/C][/ROW]
[ROW][C]sch53[/C][C]-0.389613403801119[/C][C]1.147767[/C][C]-0.3395[/C][C]0.73441[/C][C]0.367205[/C][/ROW]
[ROW][C]sch16[/C][C]-2.27480675996308[/C][C]2.022098[/C][C]-1.125[/C][C]0.261139[/C][C]0.130569[/C][/ROW]
[ROW][C]sch41[/C][C]-0.344172903048142[/C][C]0.76465[/C][C]-0.4501[/C][C]0.652829[/C][C]0.326415[/C][/ROW]
[ROW][C]sch17[/C][C]0.0140368823640934[/C][C]1.512584[/C][C]0.0093[/C][C]0.992599[/C][C]0.4963[/C][/ROW]
[ROW][C]sch40[/C][C]3.15918034829807[/C][C]0.743798[/C][C]4.2474[/C][C]2.6e-05[/C][C]1.3e-05[/C][/ROW]
[ROW][C]sch10[/C][C]-2.89223251402696[/C][C]1.079626[/C][C]-2.6789[/C][C]0.007629[/C][C]0.003814[/C][/ROW]
[ROW][C]sch01[/C][C]-1.75179745448991[/C][C]0.919679[/C][C]-1.9048[/C][C]0.057379[/C][C]0.02869[/C][/ROW]
[ROW][C]hak3[/C][C]0.543943747497602[/C][C]0.974427[/C][C]0.5582[/C][C]0.576944[/C][C]0.288472[/C][/ROW]
[ROW][C]hak5[/C][C]-0.151397832789976[/C][C]0.695789[/C][C]-0.2176[/C][C]0.827836[/C][C]0.413918[/C][/ROW]
[ROW][C]hak0[/C][C]-0.894738342774741[/C][C]1.299497[/C][C]-0.6885[/C][C]0.49144[/C][C]0.24572[/C][/ROW]
[ROW][C]hak6[/C][C]-0.176890956777217[/C][C]0.798409[/C][C]-0.2216[/C][C]0.824751[/C][C]0.412376[/C][/ROW]
[ROW][C]hak8[/C][C]-2.99897876256607[/C][C]0.927591[/C][C]-3.2331[/C][C]0.001305[/C][C]0.000653[/C][/ROW]
[ROW][C]hak7[/C][C]-1.08114885245437[/C][C]0.750941[/C][C]-1.4397[/C][C]0.15057[/C][C]0.075285[/C][/ROW]
[ROW][C]hak4[/C][C]-1.03008207191892[/C][C]0.89787[/C][C]-1.1473[/C][C]0.251825[/C][C]0.125913[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203011&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203011&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)5.500371527262930.618968.886500
c23.283645728283660.6832174.80622e-061e-06
scha05-2.713381176937721.281362-2.11760.0347030.017351
sch06-0.8378781135523831.042064-0.80410.4217460.210873
sch31-0.602367110521841.202005-0.50110.6164960.308248
sch002.033360238206830.9916462.05050.0408360.020418
sch53-0.3896134038011191.147767-0.33950.734410.367205
sch16-2.274806759963082.022098-1.1250.2611390.130569
sch41-0.3441729030481420.76465-0.45010.6528290.326415
sch170.01403688236409341.5125840.00930.9925990.4963
sch403.159180348298070.7437984.24742.6e-051.3e-05
sch10-2.892232514026961.079626-2.67890.0076290.003814
sch01-1.751797454489910.919679-1.90480.0573790.02869
hak30.5439437474976020.9744270.55820.5769440.288472
hak5-0.1513978327899760.695789-0.21760.8278360.413918
hak0-0.8947383427747411.299497-0.68850.491440.24572
hak6-0.1768909567772170.798409-0.22160.8247510.412376
hak8-2.998978762566070.927591-3.23310.0013050.000653
hak7-1.081148852454370.750941-1.43970.150570.075285
hak4-1.030082071918920.89787-1.14730.2518250.125913







Multiple Linear Regression - Regression Statistics
Multiple R0.419552321724498
R-squared0.176024150664417
Adjusted R-squared0.144775565559874
F-TEST (value)5.63302786591849
F-TEST (DF numerator)19
F-TEST (DF denominator)501
p-value9.53681578153009e-13
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation4.90939227370824
Sum Squared Residuals12075.1683810702

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.419552321724498 \tabularnewline
R-squared & 0.176024150664417 \tabularnewline
Adjusted R-squared & 0.144775565559874 \tabularnewline
F-TEST (value) & 5.63302786591849 \tabularnewline
F-TEST (DF numerator) & 19 \tabularnewline
F-TEST (DF denominator) & 501 \tabularnewline
p-value & 9.53681578153009e-13 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 4.90939227370824 \tabularnewline
Sum Squared Residuals & 12075.1683810702 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203011&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.419552321724498[/C][/ROW]
[ROW][C]R-squared[/C][C]0.176024150664417[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.144775565559874[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]5.63302786591849[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]19[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]501[/C][/ROW]
[ROW][C]p-value[/C][C]9.53681578153009e-13[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]4.90939227370824[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]12075.1683810702[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203011&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203011&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 R0.419552321724498
R-squared0.176024150664417
Adjusted R-squared0.144775565559874
F-TEST (value)5.63302786591849
F-TEST (DF numerator)19
F-TEST (DF denominator)501
p-value9.53681578153009e-13
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation4.90939227370824
Sum Squared Residuals12075.1683810702







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
186.614579826106441.38542017389356
296.614579826106472.38542017389353
388.49008288949181-0.490082889491808
458.72559389252235-3.72559389252235
5310.6659796609635-7.66597966096345
644.21601978068707-0.216019780687065
724.21601978068707-2.21601978068707
812.33082642452511-1.33082642452511
932.330826424525110.669173575474891
1062.330826424525113.66917357547489
1112.33082642452511-1.33082642452511
1254.216019780687070.78398021931293
1304.97930766743758-4.97930766743758
1412.15721986164872-1.15721986164872
155-0.2119884122408535.21198841224085
1625.33751745284981-3.33751745284981
1754.075049771760420.924950228239584
1825.66057311299494-3.66057311299494
1927.57840302310663-5.57840302310663
200-0.3908397493300970.390839749330097
2134.07504977176041-1.07504977176041
2228.48266091878379-6.48266091878379
2325.33751745284981-3.33751745284981
2424.97930766743757-2.97930766743757
2525.32348057048571-3.32348057048571
2637.57840302310663-4.57840302310663
2725.66057311299494-3.66057311299494
2804.07504977176042-4.07504977176042
2912.15721986164872-1.15721986164872
3075.040554006689951.95944599331005
3134.8617026696007-1.8617026696007
3224.8617026696007-2.8617026696007
3346.07063607860887-2.07063607860887
3425.04055400668995-3.04055400668995
3545.04055400668995-1.04055400668995
3606.00213772913775-6.00213772913775
3707.03221980105668-7.03221980105668
3826.00213772913775-4.00213772913775
3936.00213772913775-3.00213772913775
4037.03221980105668-4.03221980105668
41145.110758123461828.88924187653818
42135.110758123461817.88924187653819
4324.21601978068707-2.21601978068707
4454.662493413710550.337506586289451
4524.21601978068707-2.21601978068707
4653.767755070935811.23224492906419
4723.76775507093581-1.76775507093581
4834.21601978068707-1.21601978068707
4925.66057311299494-3.66057311299494
5025.66057311299494-3.66057311299494
5145.66057311299494-1.66057311299494
5292.157219861648726.84278013835128
5337.57840302310663-4.57840302310663
5435.66057311299494-2.66057311299494
5587.578403023106630.421596976893369
56108.482660918783791.51733908121621
5794.979307667437574.02069233256243
5865.156198624214790.843801375785211
5912.15721986164872-1.15721986164872
6035.00480079142481-2.00480079142481
6125.66057311299494-3.66057311299494
6202.15721986164872-2.15721986164872
6338.50815404277103-5.50815404277103
6425.66057311299494-3.66057311299494
6504.07504977176042-4.07504977176042
6695.004800791424813.99519920857519
6744.07504977176042-0.0750497717604156
6875.004800791424811.99519920857519
6912.15721986164872-1.15721986164872
7005.66057311299494-5.66057311299494
7125.15619862421479-3.15619862421479
7232.157219861648720.842780138351277
7314.07504977176042-3.07504977176042
74510.8173774937534-5.81737749375342
7515.9192382458189-4.9192382458189
7685.891784741519632.10821525848037
7748.72559389252235-4.72559389252235
7848.72559389252235-4.72559389252235
7986.614579826106471.38542017389353
8098.030252312234770.969747687765227
81106.002137729137753.99786227086225
823611.36132124125124.638678758749
83108.646656305120711.35334369487929
8467.75393518362767-1.75393518362767
8519.32796100304419-8.32796100304419
8626.00213772913775-4.00213772913775
8769.7872954218345-3.7872954218345
8889.32796100304419-1.32796100304419
8998.181650145024750.81834985497525
9096.614579826106472.38542017389353
9128.78401725554659-6.78401725554659
92110.6659796609634-9.66597966096345
9386.435728489017231.56427151098277
94610.6659796609634-4.66597966096345
9577.03221980105668-0.0322198010566787
96610.6659796609634-4.66597966096345
9757.75393518362767-2.75393518362767
9818.00475918824753-7.00475918824753
9937.79474130920423-4.79474130920423
10085.891784741519632.10821525848037
10136.00213772913775-3.00213772913775
102411.361321241251-7.36132124125103
103108.004759188247531.99524081175247
10476.916057070075280.0839429299247176
10556.43572848901723-1.43572848901723
106410.8173774937534-6.81737749375342
10746.61457982610647-2.61457982610647
108511.361321241251-6.36132124125102
10978.78401725554659-1.78401725554659
11026.43572848901723-4.43572848901723
11199.32796100304419-0.327961003044192
11247.79474130920423-3.79474130920423
11398.181650145024750.81834985497525
11466.8808219682667-0.880821968266702
11585.004800791424812.99519920857519
11625.15619862421479-3.15619862421479
11715.00480079142481-4.00480079142481
11832.608139013235970.391860986764031
11942.608139013235971.39186098676403
12032.608139013235970.391860986764031
12135.00480079142481-2.00480079142481
12222.78699035032521-0.786990350325213
12322.60813901323597-0.608139013235969
12442.608139013235971.39186098676403
12524.07504977176042-2.07504977176042
12632.608139013235970.391860986764031
12734.07504977176041-1.07504977176041
12835.50037152726293-2.50037152726293
12935.50037152726293-2.50037152726293
13065.040554006689950.959445993310053
13176.916057070075280.0839429299247176
13266.91605707007528-0.916057070075283
13396.88082196826672.1191780317333
13408.63261942275661-8.63261942275661
13517.15156807310583-6.15156807310583
13686.88082196826671.1191780317333
13798.632619422756610.367380577243386
138610.6659796609634-4.66597966096345
139119.78729542183451.2127045781655
14036.91605707007528-3.91605707007528
14167.15156807310582-1.15156807310582
14266.50364969355084-0.503649693550839
14386.916057070075281.08394292992472
144125.348973694472966.65102630552704
14518.50815404277103-7.50815404277103
14695.004800791424813.99519920857519
147105.040554006689954.95944599331005
14854.86170266960070.138297330399296
14938.63261942275661-5.63261942275661
15055.33751745284981-0.337517452849808
1511110.66597966096340.334020339036554
15275.004800791424811.99519920857519
15394.979307667437574.02069233256243
154215.7001423717123915.2998576282876
155125.700142371712396.29985762828761
15635.15619862421479-2.15619862421479
15754.029609271007440.970390728992561
158114.029609271007446.97039072899256
15944.02960927100744-0.029609271007439
160118.6595518755612.340448124439
161188.659551875561019.34044812443899
16268.50815404277103-2.50815404277103
16388.50815404277103-0.508154042771028
16487.578403023106630.421596976893369
165128.508154042771033.49184595722897
16658.65955187556101-3.65955187556101
16728.65955187556101-6.65955187556101
16837.57840302310663-4.57840302310663
169117.578403023106633.42159697689337
170268.5081540427710117.491845957229
17128.65955187556101-6.65955187556101
17225.32348057048571-3.32348057048571
17385.514408409627032.48559159037298
174157.578403023106647.42159697689336
175187.5784030231066310.4215969768934
176104.419222674808565.58077732519144
17728.50815404277103-6.50815404277103
17867.57840302310663-1.57840302310663
17978.65955187556101-1.65955187556101
180168.659551875561017.34044812443899
181238.65955187556114.340448124439
18224.41922267480856-2.41922267480856
18318.65955187556101-7.65955187556101
18477.57840302310663-0.578403023106632
185108.659551875561011.34044812443899
186138.659551875561014.34044812443899
187118.508154042771032.49184595722897
18875.700142371712391.29985762828761
189197.5784030231066311.4215969768934
19044.41922267480856-0.419222674808557
19158.65955187556101-3.65955187556101
192248.5081540427710215.491845957229
193105.004800791424814.99519920857519
194138.659551875561014.34044812443899
195107.578403023106632.42159697689337
196118.508154042771032.49184595722897
197144.419222674808569.58077732519144
19877.57840302310663-0.578403023106632
199128.659551875561013.34044812443899
20085.700142371712392.29985762828761
20165.004800791424810.995199208575187
20218.65955187556101-7.65955187556101
20368.65955187556101-2.65955187556101
20488.50815404277103-0.508154042771028
20568.65955187556101-2.65955187556101
20624.41922267480856-2.41922267480856
207208.5081540427710311.491845957229
208138.659551875561014.34044812443899
209188.659551875561019.34044812443899
21038.65955187556101-5.65955187556101
211158.659551875561016.34044812443899
21245.32348057048571-1.32348057048571
21368.50815404277103-2.50815404277103
214117.578403023106633.42159697689337
21545.32348057048571-1.32348057048571
216248.65955187556115.340448124439
21778.50815404277103-1.50815404277103
218148.659551875561015.34044812443899
219168.659551875561017.34044812443899
22098.6595518755610.340448124438996
22115.51440840962703-4.51440840962703
22225.51440840962702-3.51440840962702
22305.50037152726293-5.50037152726293
22405.50037152726293-5.50037152726293
22502.78699035032521-2.78699035032521
22605.70014237171239-5.70014237171239
22712.78699035032521-1.78699035032521
22855.34897369447295-0.348973694472955
22905.50037152726293-5.50037152726293
23025.70014237171239-3.70014237171239
23135.51440840962702-2.51440840962702
23245.34897369447295-1.34897369447295
23315.50037152726293-4.50037152726293
234105.348973694472964.65102630552704
23515.50037152726293-4.50037152726293
23605.50037152726293-5.50037152726293
23705.70014237171239-5.70014237171239
23801.75690827840629-1.75690827840629
23903.22556476729985-3.22556476729985
24034.470289455344-1.470289455344
24113.63241134179162-2.63241134179162
24252.157219861648722.84278013835128
24313.63241134179162-2.63241134179162
24444.5347530029037-0.534753002903697
24513.22556476729985-2.22556476729985
24644.5347530029037-0.534753002903697
24735.50037152726293-2.50037152726293
248258.7840172555465916.2159827444534
249108.784017255546591.21598274445341
250198.7840172555465910.2159827444534
251168.784017255546597.21598274445341
252148.784017255546595.21598274445341
253108.784017255546591.21598274445341
254128.784017255546593.21598274445341
255208.7840172555465911.2159827444534
256228.7840172555465913.2159827444534
257138.784017255546594.21598274445341
258178.784017255546598.21598274445341
259348.7840172555465925.2159827444534
260134.605633184488198.39436681551181
26154.605633184488190.39436681551181
26264.605633184488191.39436681551181
26314.60563318448819-3.60563318448819
26487.578403023106630.421596976893369
26544.47028945534401-0.470289455344006
26653.597176239983041.40282376001696
26784.075049771760423.92495022823958
26863.597176239983042.40282376001696
26988.659551875561-0.659551875561004
27027.57840302310663-5.57840302310663
27107.57840302310663-7.57840302310663
27214.41922267480856-3.41922267480856
273104.485602456933335.51439754306667
27404.48560245693333-4.48560245693333
27514.07504977176042-3.07504977176042
27682.667425220318655.33257477968135
27774.485602456933332.51439754306667
27884.126116552295873.87388344770413
27944.97930766743757-0.979307667437573
28012.45674118044599-1.45674118044599
28197.356840808692541.64315919130746
28283.597176239983044.40282376001696
28338.50815404277103-5.50815404277103
28458.50815404277103-3.50815404277103
28507.57840302310663-7.57840302310663
28615.15619862421479-4.15619862421479
28717.57840302310663-6.57840302310663
28831.52699016078161.4730098392184
28957.57840302310663-2.57840302310663
29077.57840302310663-0.578403023106632
29117.57840302310663-6.57840302310663
29227.57840302310663-5.57840302310663
293138.508154042771034.49184595722897
29448.50815404277103-4.50815404277103
29502.66742522031865-2.66742522031865
29642.667425220318651.33257477968135
29712.66742522031864-1.66742522031864
29844.29251782027062-0.292517820270621
29902.66742522031865-2.66742522031865
30004.29251782027062-4.29251782027062
30112.66742522031864-1.66742522031864
30222.66742522031864-0.667425220318644
30302.66742522031865-2.66742522031865
30422.66742522031864-0.667425220318644
30502.15721986164872-2.15721986164872
30664.075049771760421.92495022823958
30744.5347530029037-0.534753002903697
30873.581344561256173.41865543874383
30964.53475300290371.4652469970963
31012.15721986164872-1.15721986164872
31104.07504977176042-4.07504977176042
31262.515429647060963.48457035293904
31334.5347530029037-1.5347530029037
31424.5347530029037-2.5347530029037
31524.5347530029037-2.5347530029037
31622.51542964706096-0.515429647060959
31703.58134456125618-3.58134456125618
31805.50037152726293-5.50037152726293
31945.50037152726293-1.50037152726293
32004.41922267480856-4.41922267480856
32135.50037152726293-2.50037152726293
32205.50037152726293-5.50037152726293
32315.15619862421479-4.15619862421479
32415.50037152726293-4.50037152726293
32525.50037152726293-3.50037152726293
32675.500371527262931.49962847273707
32735.50037152726293-2.50037152726293
32805.50037152726293-5.50037152726293
32924.07504977176042-2.07504977176042
33012.15721986164872-1.15721986164872
33122.15721986164872-0.157219861648723
33254.419222674808560.580777325191443
33368.48266091878379-2.48266091878379
33444.97930766743757-0.979307667437573
33514.07504977176042-3.07504977176042
33634.97930766743757-1.97930766743757
33705.50037152726293-5.50037152726293
33824.97930766743757-2.97930766743757
33946.04431527476053-2.04431527476053
34027.57840302310663-5.57840302310663
34128.65955187556101-6.65955187556101
34245.34897369447295-1.34897369447295
34312.15721986164872-1.15721986164872
3441-0.3908397493300961.3908397493301
34535.50037152726293-2.50037152726293
346125.500371527262936.49962847273707
34715.50037152726293-4.50037152726293
34875.110758123461811.88924187653819
34924.08067605154289-2.08067605154289
35005.50037152726293-5.50037152726293
35104.95936029067184-4.95936029067184
3524-0.2119884122408534.21198841224085
35344.41922267480856-0.419222674808557
35432.157219861648720.842780138351277
35565.500371527262930.49962847273707
35602.15721986164872-2.15721986164872
35754.080676051542890.919323948457112
35805.50037152726293-5.50037152726293
35934.41922267480856-1.41922267480856
36073.225564767299853.77443523270015
361104.075049771760415.92495022823959
36264.075049771760421.92495022823958
36362.608139013235973.39186098676403
36412.60813901323597-1.60813901323597
36524.60563318448819-2.60563318448819
36694.605633184488194.39436681551181
36702.60813901323597-2.60813901323597
36854.605633184488190.39436681551181
36912.60813901323597-1.60813901323597
37024.02960927100744-2.02960927100744
37114.08067605154289-3.08067605154289
37224.02960927100744-2.02960927100744
37344.02960927100744-0.029609271007439
37424.02960927100744-2.02960927100744
37584.080676051542893.91932394845711
37644.08067605154289-0.0806760515428878
377118.632619422756612.36738057724339
378128.482660918783793.51733908121621
379105.323480570485724.67651942951428
380115.323480570485725.67651942951428
38155.32348057048571-0.323480570485713
38288.18165014502475-0.181650145024749
38388.18165014502475-0.181650145024749
384108.784017255546591.21598274445341
38548.78401725554659-4.78401725554659
38634.97930766743757-1.97930766743757
387108.030252312234771.96974768776523
38898.632619422756610.367380577243386
389115.323480570485725.67651942951428
39095.323480570485713.67651942951429
39155.32348057048571-0.323480570485713
39284.979307667437573.02069233256243
393105.323480570485724.67651942951428
39457.79474130920423-2.79474130920423
39587.794741309204230.205258690795768
396108.030252312234771.96974768776523
39774.979307667437572.02069233256243
39825.15619862421479-3.15619862421479
39975.156198624214791.84380137578521
40025.00480079142481-3.00480079142481
40155.15619862421479-0.156198624214789
40255.15619862421479-0.156198624214789
40345.32348057048571-1.32348057048571
40425.34897369447295-3.34897369447295
40515.34897369447296-4.34897369447296
40635.32348057048571-2.32348057048571
40758.48266091878379-3.48266091878379
40828.48266091878379-6.48266091878379
40998.482660918783790.517339081216212
41024.60563318448819-2.60563318448819
41104.66249341371055-4.66249341371055
41203.74857407277302-3.74857407277302
41323.59717623998304-1.59717623998304
41403.59717623998304-3.59717623998304
41504.66249341371055-4.66249341371055
41604.66249341371055-4.66249341371055
41705.00480079142481-5.00480079142481
41805.00480079142481-5.00480079142481
41905.00480079142481-5.00480079142481
42025.34897369447295-3.34897369447295
42115.34897369447296-4.34897369447296
42215.00480079142481-4.00480079142481
42306.00213772913775-6.00213772913775
42439.32796100304419-6.32796100304419
42526.8808219682667-4.8808219682667
42646.00213772913775-2.00213772913775
427310.6659796609634-7.66597966096345
42815.04055400668995-4.04055400668995
429167.629469803642088.37053019635792
43066.45258291301539-0.45258291301539
43196.002137729137752.99786227086225
43298.632619422756610.367380577243386
43304.9338671666846-4.9338671666846
43496.88082196826672.1191780317333
43584.292517820270623.70748217972938
43605.00480079142481-5.00480079142481
43716.04431527476054-5.04431527476054
438128.725593892522353.27440610747765
439108.607126298769371.39287370123063
44074.933867166684592.06613283331541
441136.452582913015396.54741708698461
442166.452582913015399.54741708698461
44360.7495953102069555.25040468979305
44475.156198624214791.84380137578521
44554.979307667437570.0206923325624277
44698.482660918783790.517339081216212
447118.508154042771032.49184595722897
448118.030252312234772.96974768776523
449134.292517820270628.70748217972938
450137.794741309204235.20525869079577
45104.9338671666846-4.9338671666846
452126.452582913015395.54741708698461
453124.979307667437577.02069233256243
45425.00480079142481-3.00480079142481
45528.60712629876937-6.60712629876937
456126.916057070075285.08394292992472
45775.323480570485711.67651942951429
45814.07504977176042-3.07504977176042
45907.57616354855428-7.57616354855428
46065.004800791424810.995199208575187
461146.452582913015397.54741708698461
462108.607126298769371.39287370123063
463117.767972065991763.23202793400824
46442.718492000854091.28150799914591
46584.979307667437573.02069233256243
466124.979307667437577.02069233256243
46708.48266091878378-8.48266091878378
468104.292517820270625.70748217972938
469148.725593892522355.27440610747765
470126.916057070075285.08394292992472
47115.50037152726293-4.50037152726293
47207.38233393267979-7.38233393267979
47395.348973694472953.65102630552705
474120.74959531020694611.2504046897931
47598.030252312234770.969747687765227
47668.50815404277103-2.50815404277103
477126.916057070075285.08394292992472
478178.607126298769378.39287370123063
479107.794741309204232.20525869079577
480128.030252312234773.96974768776523
481196.4525829130153912.5474170869846
482124.48432633770817.5156736622919
483118.6595518755612.340448124439
48497.382333932679791.61766606732021
48555.32348057048571-0.323480570485713
486127.753935183627674.24606481637233
48756.91605707007528-1.91605707007528
48858.03025231223478-3.03025231223478
489107.382333932679782.61766606732021
49096.002137729137752.99786227086225
49198.077675512967360.922324487032636
492143.5971762399830510.402823760017
493228.5081540427710213.491845957229
494177.382333932679789.61766606732022
495138.607126298769374.39287370123063
49684.979307667437573.02069233256243
49704.97930766743757-4.97930766743757
498124.126116552295877.87388344770413
49906.00213772913775-6.00213772913775
500310.6659796609634-7.66597966096345
50148.03025231223478-4.03025231223478
502108.030252312234771.96974768776523
503108.030252312234771.96974768776523
504128.482660918783793.51733908121621
505148.030252312234785.96974768776522
506146.452582913015397.54741708698461
50755.00480079142481-0.00480079142481316
508154.5110955809205710.4889044190794
50976.916057070075280.0839429299247176
510156.88082196826678.1191780317333
511158.632619422756616.36738057724339
512114.126116552295866.87388344770414
51322.60813901323597-0.608139013235969
51412.60813901323597-1.60813901323597
51552.608139013235972.39186098676403
51652.608139013235972.39186098676403
51742.157219861648721.84278013835128
51872.157219861648724.84278013835128
51952.157219861648722.84278013835128
52042.157219861648721.84278013835128
52122.60813901323597-0.608139013235969

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 8 & 6.61457982610644 & 1.38542017389356 \tabularnewline
2 & 9 & 6.61457982610647 & 2.38542017389353 \tabularnewline
3 & 8 & 8.49008288949181 & -0.490082889491808 \tabularnewline
4 & 5 & 8.72559389252235 & -3.72559389252235 \tabularnewline
5 & 3 & 10.6659796609635 & -7.66597966096345 \tabularnewline
6 & 4 & 4.21601978068707 & -0.216019780687065 \tabularnewline
7 & 2 & 4.21601978068707 & -2.21601978068707 \tabularnewline
8 & 1 & 2.33082642452511 & -1.33082642452511 \tabularnewline
9 & 3 & 2.33082642452511 & 0.669173575474891 \tabularnewline
10 & 6 & 2.33082642452511 & 3.66917357547489 \tabularnewline
11 & 1 & 2.33082642452511 & -1.33082642452511 \tabularnewline
12 & 5 & 4.21601978068707 & 0.78398021931293 \tabularnewline
13 & 0 & 4.97930766743758 & -4.97930766743758 \tabularnewline
14 & 1 & 2.15721986164872 & -1.15721986164872 \tabularnewline
15 & 5 & -0.211988412240853 & 5.21198841224085 \tabularnewline
16 & 2 & 5.33751745284981 & -3.33751745284981 \tabularnewline
17 & 5 & 4.07504977176042 & 0.924950228239584 \tabularnewline
18 & 2 & 5.66057311299494 & -3.66057311299494 \tabularnewline
19 & 2 & 7.57840302310663 & -5.57840302310663 \tabularnewline
20 & 0 & -0.390839749330097 & 0.390839749330097 \tabularnewline
21 & 3 & 4.07504977176041 & -1.07504977176041 \tabularnewline
22 & 2 & 8.48266091878379 & -6.48266091878379 \tabularnewline
23 & 2 & 5.33751745284981 & -3.33751745284981 \tabularnewline
24 & 2 & 4.97930766743757 & -2.97930766743757 \tabularnewline
25 & 2 & 5.32348057048571 & -3.32348057048571 \tabularnewline
26 & 3 & 7.57840302310663 & -4.57840302310663 \tabularnewline
27 & 2 & 5.66057311299494 & -3.66057311299494 \tabularnewline
28 & 0 & 4.07504977176042 & -4.07504977176042 \tabularnewline
29 & 1 & 2.15721986164872 & -1.15721986164872 \tabularnewline
30 & 7 & 5.04055400668995 & 1.95944599331005 \tabularnewline
31 & 3 & 4.8617026696007 & -1.8617026696007 \tabularnewline
32 & 2 & 4.8617026696007 & -2.8617026696007 \tabularnewline
33 & 4 & 6.07063607860887 & -2.07063607860887 \tabularnewline
34 & 2 & 5.04055400668995 & -3.04055400668995 \tabularnewline
35 & 4 & 5.04055400668995 & -1.04055400668995 \tabularnewline
36 & 0 & 6.00213772913775 & -6.00213772913775 \tabularnewline
37 & 0 & 7.03221980105668 & -7.03221980105668 \tabularnewline
38 & 2 & 6.00213772913775 & -4.00213772913775 \tabularnewline
39 & 3 & 6.00213772913775 & -3.00213772913775 \tabularnewline
40 & 3 & 7.03221980105668 & -4.03221980105668 \tabularnewline
41 & 14 & 5.11075812346182 & 8.88924187653818 \tabularnewline
42 & 13 & 5.11075812346181 & 7.88924187653819 \tabularnewline
43 & 2 & 4.21601978068707 & -2.21601978068707 \tabularnewline
44 & 5 & 4.66249341371055 & 0.337506586289451 \tabularnewline
45 & 2 & 4.21601978068707 & -2.21601978068707 \tabularnewline
46 & 5 & 3.76775507093581 & 1.23224492906419 \tabularnewline
47 & 2 & 3.76775507093581 & -1.76775507093581 \tabularnewline
48 & 3 & 4.21601978068707 & -1.21601978068707 \tabularnewline
49 & 2 & 5.66057311299494 & -3.66057311299494 \tabularnewline
50 & 2 & 5.66057311299494 & -3.66057311299494 \tabularnewline
51 & 4 & 5.66057311299494 & -1.66057311299494 \tabularnewline
52 & 9 & 2.15721986164872 & 6.84278013835128 \tabularnewline
53 & 3 & 7.57840302310663 & -4.57840302310663 \tabularnewline
54 & 3 & 5.66057311299494 & -2.66057311299494 \tabularnewline
55 & 8 & 7.57840302310663 & 0.421596976893369 \tabularnewline
56 & 10 & 8.48266091878379 & 1.51733908121621 \tabularnewline
57 & 9 & 4.97930766743757 & 4.02069233256243 \tabularnewline
58 & 6 & 5.15619862421479 & 0.843801375785211 \tabularnewline
59 & 1 & 2.15721986164872 & -1.15721986164872 \tabularnewline
60 & 3 & 5.00480079142481 & -2.00480079142481 \tabularnewline
61 & 2 & 5.66057311299494 & -3.66057311299494 \tabularnewline
62 & 0 & 2.15721986164872 & -2.15721986164872 \tabularnewline
63 & 3 & 8.50815404277103 & -5.50815404277103 \tabularnewline
64 & 2 & 5.66057311299494 & -3.66057311299494 \tabularnewline
65 & 0 & 4.07504977176042 & -4.07504977176042 \tabularnewline
66 & 9 & 5.00480079142481 & 3.99519920857519 \tabularnewline
67 & 4 & 4.07504977176042 & -0.0750497717604156 \tabularnewline
68 & 7 & 5.00480079142481 & 1.99519920857519 \tabularnewline
69 & 1 & 2.15721986164872 & -1.15721986164872 \tabularnewline
70 & 0 & 5.66057311299494 & -5.66057311299494 \tabularnewline
71 & 2 & 5.15619862421479 & -3.15619862421479 \tabularnewline
72 & 3 & 2.15721986164872 & 0.842780138351277 \tabularnewline
73 & 1 & 4.07504977176042 & -3.07504977176042 \tabularnewline
74 & 5 & 10.8173774937534 & -5.81737749375342 \tabularnewline
75 & 1 & 5.9192382458189 & -4.9192382458189 \tabularnewline
76 & 8 & 5.89178474151963 & 2.10821525848037 \tabularnewline
77 & 4 & 8.72559389252235 & -4.72559389252235 \tabularnewline
78 & 4 & 8.72559389252235 & -4.72559389252235 \tabularnewline
79 & 8 & 6.61457982610647 & 1.38542017389353 \tabularnewline
80 & 9 & 8.03025231223477 & 0.969747687765227 \tabularnewline
81 & 10 & 6.00213772913775 & 3.99786227086225 \tabularnewline
82 & 36 & 11.361321241251 & 24.638678758749 \tabularnewline
83 & 10 & 8.64665630512071 & 1.35334369487929 \tabularnewline
84 & 6 & 7.75393518362767 & -1.75393518362767 \tabularnewline
85 & 1 & 9.32796100304419 & -8.32796100304419 \tabularnewline
86 & 2 & 6.00213772913775 & -4.00213772913775 \tabularnewline
87 & 6 & 9.7872954218345 & -3.7872954218345 \tabularnewline
88 & 8 & 9.32796100304419 & -1.32796100304419 \tabularnewline
89 & 9 & 8.18165014502475 & 0.81834985497525 \tabularnewline
90 & 9 & 6.61457982610647 & 2.38542017389353 \tabularnewline
91 & 2 & 8.78401725554659 & -6.78401725554659 \tabularnewline
92 & 1 & 10.6659796609634 & -9.66597966096345 \tabularnewline
93 & 8 & 6.43572848901723 & 1.56427151098277 \tabularnewline
94 & 6 & 10.6659796609634 & -4.66597966096345 \tabularnewline
95 & 7 & 7.03221980105668 & -0.0322198010566787 \tabularnewline
96 & 6 & 10.6659796609634 & -4.66597966096345 \tabularnewline
97 & 5 & 7.75393518362767 & -2.75393518362767 \tabularnewline
98 & 1 & 8.00475918824753 & -7.00475918824753 \tabularnewline
99 & 3 & 7.79474130920423 & -4.79474130920423 \tabularnewline
100 & 8 & 5.89178474151963 & 2.10821525848037 \tabularnewline
101 & 3 & 6.00213772913775 & -3.00213772913775 \tabularnewline
102 & 4 & 11.361321241251 & -7.36132124125103 \tabularnewline
103 & 10 & 8.00475918824753 & 1.99524081175247 \tabularnewline
104 & 7 & 6.91605707007528 & 0.0839429299247176 \tabularnewline
105 & 5 & 6.43572848901723 & -1.43572848901723 \tabularnewline
106 & 4 & 10.8173774937534 & -6.81737749375342 \tabularnewline
107 & 4 & 6.61457982610647 & -2.61457982610647 \tabularnewline
108 & 5 & 11.361321241251 & -6.36132124125102 \tabularnewline
109 & 7 & 8.78401725554659 & -1.78401725554659 \tabularnewline
110 & 2 & 6.43572848901723 & -4.43572848901723 \tabularnewline
111 & 9 & 9.32796100304419 & -0.327961003044192 \tabularnewline
112 & 4 & 7.79474130920423 & -3.79474130920423 \tabularnewline
113 & 9 & 8.18165014502475 & 0.81834985497525 \tabularnewline
114 & 6 & 6.8808219682667 & -0.880821968266702 \tabularnewline
115 & 8 & 5.00480079142481 & 2.99519920857519 \tabularnewline
116 & 2 & 5.15619862421479 & -3.15619862421479 \tabularnewline
117 & 1 & 5.00480079142481 & -4.00480079142481 \tabularnewline
118 & 3 & 2.60813901323597 & 0.391860986764031 \tabularnewline
119 & 4 & 2.60813901323597 & 1.39186098676403 \tabularnewline
120 & 3 & 2.60813901323597 & 0.391860986764031 \tabularnewline
121 & 3 & 5.00480079142481 & -2.00480079142481 \tabularnewline
122 & 2 & 2.78699035032521 & -0.786990350325213 \tabularnewline
123 & 2 & 2.60813901323597 & -0.608139013235969 \tabularnewline
124 & 4 & 2.60813901323597 & 1.39186098676403 \tabularnewline
125 & 2 & 4.07504977176042 & -2.07504977176042 \tabularnewline
126 & 3 & 2.60813901323597 & 0.391860986764031 \tabularnewline
127 & 3 & 4.07504977176041 & -1.07504977176041 \tabularnewline
128 & 3 & 5.50037152726293 & -2.50037152726293 \tabularnewline
129 & 3 & 5.50037152726293 & -2.50037152726293 \tabularnewline
130 & 6 & 5.04055400668995 & 0.959445993310053 \tabularnewline
131 & 7 & 6.91605707007528 & 0.0839429299247176 \tabularnewline
132 & 6 & 6.91605707007528 & -0.916057070075283 \tabularnewline
133 & 9 & 6.8808219682667 & 2.1191780317333 \tabularnewline
134 & 0 & 8.63261942275661 & -8.63261942275661 \tabularnewline
135 & 1 & 7.15156807310583 & -6.15156807310583 \tabularnewline
136 & 8 & 6.8808219682667 & 1.1191780317333 \tabularnewline
137 & 9 & 8.63261942275661 & 0.367380577243386 \tabularnewline
138 & 6 & 10.6659796609634 & -4.66597966096345 \tabularnewline
139 & 11 & 9.7872954218345 & 1.2127045781655 \tabularnewline
140 & 3 & 6.91605707007528 & -3.91605707007528 \tabularnewline
141 & 6 & 7.15156807310582 & -1.15156807310582 \tabularnewline
142 & 6 & 6.50364969355084 & -0.503649693550839 \tabularnewline
143 & 8 & 6.91605707007528 & 1.08394292992472 \tabularnewline
144 & 12 & 5.34897369447296 & 6.65102630552704 \tabularnewline
145 & 1 & 8.50815404277103 & -7.50815404277103 \tabularnewline
146 & 9 & 5.00480079142481 & 3.99519920857519 \tabularnewline
147 & 10 & 5.04055400668995 & 4.95944599331005 \tabularnewline
148 & 5 & 4.8617026696007 & 0.138297330399296 \tabularnewline
149 & 3 & 8.63261942275661 & -5.63261942275661 \tabularnewline
150 & 5 & 5.33751745284981 & -0.337517452849808 \tabularnewline
151 & 11 & 10.6659796609634 & 0.334020339036554 \tabularnewline
152 & 7 & 5.00480079142481 & 1.99519920857519 \tabularnewline
153 & 9 & 4.97930766743757 & 4.02069233256243 \tabularnewline
154 & 21 & 5.70014237171239 & 15.2998576282876 \tabularnewline
155 & 12 & 5.70014237171239 & 6.29985762828761 \tabularnewline
156 & 3 & 5.15619862421479 & -2.15619862421479 \tabularnewline
157 & 5 & 4.02960927100744 & 0.970390728992561 \tabularnewline
158 & 11 & 4.02960927100744 & 6.97039072899256 \tabularnewline
159 & 4 & 4.02960927100744 & -0.029609271007439 \tabularnewline
160 & 11 & 8.659551875561 & 2.340448124439 \tabularnewline
161 & 18 & 8.65955187556101 & 9.34044812443899 \tabularnewline
162 & 6 & 8.50815404277103 & -2.50815404277103 \tabularnewline
163 & 8 & 8.50815404277103 & -0.508154042771028 \tabularnewline
164 & 8 & 7.57840302310663 & 0.421596976893369 \tabularnewline
165 & 12 & 8.50815404277103 & 3.49184595722897 \tabularnewline
166 & 5 & 8.65955187556101 & -3.65955187556101 \tabularnewline
167 & 2 & 8.65955187556101 & -6.65955187556101 \tabularnewline
168 & 3 & 7.57840302310663 & -4.57840302310663 \tabularnewline
169 & 11 & 7.57840302310663 & 3.42159697689337 \tabularnewline
170 & 26 & 8.50815404277101 & 17.491845957229 \tabularnewline
171 & 2 & 8.65955187556101 & -6.65955187556101 \tabularnewline
172 & 2 & 5.32348057048571 & -3.32348057048571 \tabularnewline
173 & 8 & 5.51440840962703 & 2.48559159037298 \tabularnewline
174 & 15 & 7.57840302310664 & 7.42159697689336 \tabularnewline
175 & 18 & 7.57840302310663 & 10.4215969768934 \tabularnewline
176 & 10 & 4.41922267480856 & 5.58077732519144 \tabularnewline
177 & 2 & 8.50815404277103 & -6.50815404277103 \tabularnewline
178 & 6 & 7.57840302310663 & -1.57840302310663 \tabularnewline
179 & 7 & 8.65955187556101 & -1.65955187556101 \tabularnewline
180 & 16 & 8.65955187556101 & 7.34044812443899 \tabularnewline
181 & 23 & 8.659551875561 & 14.340448124439 \tabularnewline
182 & 2 & 4.41922267480856 & -2.41922267480856 \tabularnewline
183 & 1 & 8.65955187556101 & -7.65955187556101 \tabularnewline
184 & 7 & 7.57840302310663 & -0.578403023106632 \tabularnewline
185 & 10 & 8.65955187556101 & 1.34044812443899 \tabularnewline
186 & 13 & 8.65955187556101 & 4.34044812443899 \tabularnewline
187 & 11 & 8.50815404277103 & 2.49184595722897 \tabularnewline
188 & 7 & 5.70014237171239 & 1.29985762828761 \tabularnewline
189 & 19 & 7.57840302310663 & 11.4215969768934 \tabularnewline
190 & 4 & 4.41922267480856 & -0.419222674808557 \tabularnewline
191 & 5 & 8.65955187556101 & -3.65955187556101 \tabularnewline
192 & 24 & 8.50815404277102 & 15.491845957229 \tabularnewline
193 & 10 & 5.00480079142481 & 4.99519920857519 \tabularnewline
194 & 13 & 8.65955187556101 & 4.34044812443899 \tabularnewline
195 & 10 & 7.57840302310663 & 2.42159697689337 \tabularnewline
196 & 11 & 8.50815404277103 & 2.49184595722897 \tabularnewline
197 & 14 & 4.41922267480856 & 9.58077732519144 \tabularnewline
198 & 7 & 7.57840302310663 & -0.578403023106632 \tabularnewline
199 & 12 & 8.65955187556101 & 3.34044812443899 \tabularnewline
200 & 8 & 5.70014237171239 & 2.29985762828761 \tabularnewline
201 & 6 & 5.00480079142481 & 0.995199208575187 \tabularnewline
202 & 1 & 8.65955187556101 & -7.65955187556101 \tabularnewline
203 & 6 & 8.65955187556101 & -2.65955187556101 \tabularnewline
204 & 8 & 8.50815404277103 & -0.508154042771028 \tabularnewline
205 & 6 & 8.65955187556101 & -2.65955187556101 \tabularnewline
206 & 2 & 4.41922267480856 & -2.41922267480856 \tabularnewline
207 & 20 & 8.50815404277103 & 11.491845957229 \tabularnewline
208 & 13 & 8.65955187556101 & 4.34044812443899 \tabularnewline
209 & 18 & 8.65955187556101 & 9.34044812443899 \tabularnewline
210 & 3 & 8.65955187556101 & -5.65955187556101 \tabularnewline
211 & 15 & 8.65955187556101 & 6.34044812443899 \tabularnewline
212 & 4 & 5.32348057048571 & -1.32348057048571 \tabularnewline
213 & 6 & 8.50815404277103 & -2.50815404277103 \tabularnewline
214 & 11 & 7.57840302310663 & 3.42159697689337 \tabularnewline
215 & 4 & 5.32348057048571 & -1.32348057048571 \tabularnewline
216 & 24 & 8.659551875561 & 15.340448124439 \tabularnewline
217 & 7 & 8.50815404277103 & -1.50815404277103 \tabularnewline
218 & 14 & 8.65955187556101 & 5.34044812443899 \tabularnewline
219 & 16 & 8.65955187556101 & 7.34044812443899 \tabularnewline
220 & 9 & 8.659551875561 & 0.340448124438996 \tabularnewline
221 & 1 & 5.51440840962703 & -4.51440840962703 \tabularnewline
222 & 2 & 5.51440840962702 & -3.51440840962702 \tabularnewline
223 & 0 & 5.50037152726293 & -5.50037152726293 \tabularnewline
224 & 0 & 5.50037152726293 & -5.50037152726293 \tabularnewline
225 & 0 & 2.78699035032521 & -2.78699035032521 \tabularnewline
226 & 0 & 5.70014237171239 & -5.70014237171239 \tabularnewline
227 & 1 & 2.78699035032521 & -1.78699035032521 \tabularnewline
228 & 5 & 5.34897369447295 & -0.348973694472955 \tabularnewline
229 & 0 & 5.50037152726293 & -5.50037152726293 \tabularnewline
230 & 2 & 5.70014237171239 & -3.70014237171239 \tabularnewline
231 & 3 & 5.51440840962702 & -2.51440840962702 \tabularnewline
232 & 4 & 5.34897369447295 & -1.34897369447295 \tabularnewline
233 & 1 & 5.50037152726293 & -4.50037152726293 \tabularnewline
234 & 10 & 5.34897369447296 & 4.65102630552704 \tabularnewline
235 & 1 & 5.50037152726293 & -4.50037152726293 \tabularnewline
236 & 0 & 5.50037152726293 & -5.50037152726293 \tabularnewline
237 & 0 & 5.70014237171239 & -5.70014237171239 \tabularnewline
238 & 0 & 1.75690827840629 & -1.75690827840629 \tabularnewline
239 & 0 & 3.22556476729985 & -3.22556476729985 \tabularnewline
240 & 3 & 4.470289455344 & -1.470289455344 \tabularnewline
241 & 1 & 3.63241134179162 & -2.63241134179162 \tabularnewline
242 & 5 & 2.15721986164872 & 2.84278013835128 \tabularnewline
243 & 1 & 3.63241134179162 & -2.63241134179162 \tabularnewline
244 & 4 & 4.5347530029037 & -0.534753002903697 \tabularnewline
245 & 1 & 3.22556476729985 & -2.22556476729985 \tabularnewline
246 & 4 & 4.5347530029037 & -0.534753002903697 \tabularnewline
247 & 3 & 5.50037152726293 & -2.50037152726293 \tabularnewline
248 & 25 & 8.78401725554659 & 16.2159827444534 \tabularnewline
249 & 10 & 8.78401725554659 & 1.21598274445341 \tabularnewline
250 & 19 & 8.78401725554659 & 10.2159827444534 \tabularnewline
251 & 16 & 8.78401725554659 & 7.21598274445341 \tabularnewline
252 & 14 & 8.78401725554659 & 5.21598274445341 \tabularnewline
253 & 10 & 8.78401725554659 & 1.21598274445341 \tabularnewline
254 & 12 & 8.78401725554659 & 3.21598274445341 \tabularnewline
255 & 20 & 8.78401725554659 & 11.2159827444534 \tabularnewline
256 & 22 & 8.78401725554659 & 13.2159827444534 \tabularnewline
257 & 13 & 8.78401725554659 & 4.21598274445341 \tabularnewline
258 & 17 & 8.78401725554659 & 8.21598274445341 \tabularnewline
259 & 34 & 8.78401725554659 & 25.2159827444534 \tabularnewline
260 & 13 & 4.60563318448819 & 8.39436681551181 \tabularnewline
261 & 5 & 4.60563318448819 & 0.39436681551181 \tabularnewline
262 & 6 & 4.60563318448819 & 1.39436681551181 \tabularnewline
263 & 1 & 4.60563318448819 & -3.60563318448819 \tabularnewline
264 & 8 & 7.57840302310663 & 0.421596976893369 \tabularnewline
265 & 4 & 4.47028945534401 & -0.470289455344006 \tabularnewline
266 & 5 & 3.59717623998304 & 1.40282376001696 \tabularnewline
267 & 8 & 4.07504977176042 & 3.92495022823958 \tabularnewline
268 & 6 & 3.59717623998304 & 2.40282376001696 \tabularnewline
269 & 8 & 8.659551875561 & -0.659551875561004 \tabularnewline
270 & 2 & 7.57840302310663 & -5.57840302310663 \tabularnewline
271 & 0 & 7.57840302310663 & -7.57840302310663 \tabularnewline
272 & 1 & 4.41922267480856 & -3.41922267480856 \tabularnewline
273 & 10 & 4.48560245693333 & 5.51439754306667 \tabularnewline
274 & 0 & 4.48560245693333 & -4.48560245693333 \tabularnewline
275 & 1 & 4.07504977176042 & -3.07504977176042 \tabularnewline
276 & 8 & 2.66742522031865 & 5.33257477968135 \tabularnewline
277 & 7 & 4.48560245693333 & 2.51439754306667 \tabularnewline
278 & 8 & 4.12611655229587 & 3.87388344770413 \tabularnewline
279 & 4 & 4.97930766743757 & -0.979307667437573 \tabularnewline
280 & 1 & 2.45674118044599 & -1.45674118044599 \tabularnewline
281 & 9 & 7.35684080869254 & 1.64315919130746 \tabularnewline
282 & 8 & 3.59717623998304 & 4.40282376001696 \tabularnewline
283 & 3 & 8.50815404277103 & -5.50815404277103 \tabularnewline
284 & 5 & 8.50815404277103 & -3.50815404277103 \tabularnewline
285 & 0 & 7.57840302310663 & -7.57840302310663 \tabularnewline
286 & 1 & 5.15619862421479 & -4.15619862421479 \tabularnewline
287 & 1 & 7.57840302310663 & -6.57840302310663 \tabularnewline
288 & 3 & 1.5269901607816 & 1.4730098392184 \tabularnewline
289 & 5 & 7.57840302310663 & -2.57840302310663 \tabularnewline
290 & 7 & 7.57840302310663 & -0.578403023106632 \tabularnewline
291 & 1 & 7.57840302310663 & -6.57840302310663 \tabularnewline
292 & 2 & 7.57840302310663 & -5.57840302310663 \tabularnewline
293 & 13 & 8.50815404277103 & 4.49184595722897 \tabularnewline
294 & 4 & 8.50815404277103 & -4.50815404277103 \tabularnewline
295 & 0 & 2.66742522031865 & -2.66742522031865 \tabularnewline
296 & 4 & 2.66742522031865 & 1.33257477968135 \tabularnewline
297 & 1 & 2.66742522031864 & -1.66742522031864 \tabularnewline
298 & 4 & 4.29251782027062 & -0.292517820270621 \tabularnewline
299 & 0 & 2.66742522031865 & -2.66742522031865 \tabularnewline
300 & 0 & 4.29251782027062 & -4.29251782027062 \tabularnewline
301 & 1 & 2.66742522031864 & -1.66742522031864 \tabularnewline
302 & 2 & 2.66742522031864 & -0.667425220318644 \tabularnewline
303 & 0 & 2.66742522031865 & -2.66742522031865 \tabularnewline
304 & 2 & 2.66742522031864 & -0.667425220318644 \tabularnewline
305 & 0 & 2.15721986164872 & -2.15721986164872 \tabularnewline
306 & 6 & 4.07504977176042 & 1.92495022823958 \tabularnewline
307 & 4 & 4.5347530029037 & -0.534753002903697 \tabularnewline
308 & 7 & 3.58134456125617 & 3.41865543874383 \tabularnewline
309 & 6 & 4.5347530029037 & 1.4652469970963 \tabularnewline
310 & 1 & 2.15721986164872 & -1.15721986164872 \tabularnewline
311 & 0 & 4.07504977176042 & -4.07504977176042 \tabularnewline
312 & 6 & 2.51542964706096 & 3.48457035293904 \tabularnewline
313 & 3 & 4.5347530029037 & -1.5347530029037 \tabularnewline
314 & 2 & 4.5347530029037 & -2.5347530029037 \tabularnewline
315 & 2 & 4.5347530029037 & -2.5347530029037 \tabularnewline
316 & 2 & 2.51542964706096 & -0.515429647060959 \tabularnewline
317 & 0 & 3.58134456125618 & -3.58134456125618 \tabularnewline
318 & 0 & 5.50037152726293 & -5.50037152726293 \tabularnewline
319 & 4 & 5.50037152726293 & -1.50037152726293 \tabularnewline
320 & 0 & 4.41922267480856 & -4.41922267480856 \tabularnewline
321 & 3 & 5.50037152726293 & -2.50037152726293 \tabularnewline
322 & 0 & 5.50037152726293 & -5.50037152726293 \tabularnewline
323 & 1 & 5.15619862421479 & -4.15619862421479 \tabularnewline
324 & 1 & 5.50037152726293 & -4.50037152726293 \tabularnewline
325 & 2 & 5.50037152726293 & -3.50037152726293 \tabularnewline
326 & 7 & 5.50037152726293 & 1.49962847273707 \tabularnewline
327 & 3 & 5.50037152726293 & -2.50037152726293 \tabularnewline
328 & 0 & 5.50037152726293 & -5.50037152726293 \tabularnewline
329 & 2 & 4.07504977176042 & -2.07504977176042 \tabularnewline
330 & 1 & 2.15721986164872 & -1.15721986164872 \tabularnewline
331 & 2 & 2.15721986164872 & -0.157219861648723 \tabularnewline
332 & 5 & 4.41922267480856 & 0.580777325191443 \tabularnewline
333 & 6 & 8.48266091878379 & -2.48266091878379 \tabularnewline
334 & 4 & 4.97930766743757 & -0.979307667437573 \tabularnewline
335 & 1 & 4.07504977176042 & -3.07504977176042 \tabularnewline
336 & 3 & 4.97930766743757 & -1.97930766743757 \tabularnewline
337 & 0 & 5.50037152726293 & -5.50037152726293 \tabularnewline
338 & 2 & 4.97930766743757 & -2.97930766743757 \tabularnewline
339 & 4 & 6.04431527476053 & -2.04431527476053 \tabularnewline
340 & 2 & 7.57840302310663 & -5.57840302310663 \tabularnewline
341 & 2 & 8.65955187556101 & -6.65955187556101 \tabularnewline
342 & 4 & 5.34897369447295 & -1.34897369447295 \tabularnewline
343 & 1 & 2.15721986164872 & -1.15721986164872 \tabularnewline
344 & 1 & -0.390839749330096 & 1.3908397493301 \tabularnewline
345 & 3 & 5.50037152726293 & -2.50037152726293 \tabularnewline
346 & 12 & 5.50037152726293 & 6.49962847273707 \tabularnewline
347 & 1 & 5.50037152726293 & -4.50037152726293 \tabularnewline
348 & 7 & 5.11075812346181 & 1.88924187653819 \tabularnewline
349 & 2 & 4.08067605154289 & -2.08067605154289 \tabularnewline
350 & 0 & 5.50037152726293 & -5.50037152726293 \tabularnewline
351 & 0 & 4.95936029067184 & -4.95936029067184 \tabularnewline
352 & 4 & -0.211988412240853 & 4.21198841224085 \tabularnewline
353 & 4 & 4.41922267480856 & -0.419222674808557 \tabularnewline
354 & 3 & 2.15721986164872 & 0.842780138351277 \tabularnewline
355 & 6 & 5.50037152726293 & 0.49962847273707 \tabularnewline
356 & 0 & 2.15721986164872 & -2.15721986164872 \tabularnewline
357 & 5 & 4.08067605154289 & 0.919323948457112 \tabularnewline
358 & 0 & 5.50037152726293 & -5.50037152726293 \tabularnewline
359 & 3 & 4.41922267480856 & -1.41922267480856 \tabularnewline
360 & 7 & 3.22556476729985 & 3.77443523270015 \tabularnewline
361 & 10 & 4.07504977176041 & 5.92495022823959 \tabularnewline
362 & 6 & 4.07504977176042 & 1.92495022823958 \tabularnewline
363 & 6 & 2.60813901323597 & 3.39186098676403 \tabularnewline
364 & 1 & 2.60813901323597 & -1.60813901323597 \tabularnewline
365 & 2 & 4.60563318448819 & -2.60563318448819 \tabularnewline
366 & 9 & 4.60563318448819 & 4.39436681551181 \tabularnewline
367 & 0 & 2.60813901323597 & -2.60813901323597 \tabularnewline
368 & 5 & 4.60563318448819 & 0.39436681551181 \tabularnewline
369 & 1 & 2.60813901323597 & -1.60813901323597 \tabularnewline
370 & 2 & 4.02960927100744 & -2.02960927100744 \tabularnewline
371 & 1 & 4.08067605154289 & -3.08067605154289 \tabularnewline
372 & 2 & 4.02960927100744 & -2.02960927100744 \tabularnewline
373 & 4 & 4.02960927100744 & -0.029609271007439 \tabularnewline
374 & 2 & 4.02960927100744 & -2.02960927100744 \tabularnewline
375 & 8 & 4.08067605154289 & 3.91932394845711 \tabularnewline
376 & 4 & 4.08067605154289 & -0.0806760515428878 \tabularnewline
377 & 11 & 8.63261942275661 & 2.36738057724339 \tabularnewline
378 & 12 & 8.48266091878379 & 3.51733908121621 \tabularnewline
379 & 10 & 5.32348057048572 & 4.67651942951428 \tabularnewline
380 & 11 & 5.32348057048572 & 5.67651942951428 \tabularnewline
381 & 5 & 5.32348057048571 & -0.323480570485713 \tabularnewline
382 & 8 & 8.18165014502475 & -0.181650145024749 \tabularnewline
383 & 8 & 8.18165014502475 & -0.181650145024749 \tabularnewline
384 & 10 & 8.78401725554659 & 1.21598274445341 \tabularnewline
385 & 4 & 8.78401725554659 & -4.78401725554659 \tabularnewline
386 & 3 & 4.97930766743757 & -1.97930766743757 \tabularnewline
387 & 10 & 8.03025231223477 & 1.96974768776523 \tabularnewline
388 & 9 & 8.63261942275661 & 0.367380577243386 \tabularnewline
389 & 11 & 5.32348057048572 & 5.67651942951428 \tabularnewline
390 & 9 & 5.32348057048571 & 3.67651942951429 \tabularnewline
391 & 5 & 5.32348057048571 & -0.323480570485713 \tabularnewline
392 & 8 & 4.97930766743757 & 3.02069233256243 \tabularnewline
393 & 10 & 5.32348057048572 & 4.67651942951428 \tabularnewline
394 & 5 & 7.79474130920423 & -2.79474130920423 \tabularnewline
395 & 8 & 7.79474130920423 & 0.205258690795768 \tabularnewline
396 & 10 & 8.03025231223477 & 1.96974768776523 \tabularnewline
397 & 7 & 4.97930766743757 & 2.02069233256243 \tabularnewline
398 & 2 & 5.15619862421479 & -3.15619862421479 \tabularnewline
399 & 7 & 5.15619862421479 & 1.84380137578521 \tabularnewline
400 & 2 & 5.00480079142481 & -3.00480079142481 \tabularnewline
401 & 5 & 5.15619862421479 & -0.156198624214789 \tabularnewline
402 & 5 & 5.15619862421479 & -0.156198624214789 \tabularnewline
403 & 4 & 5.32348057048571 & -1.32348057048571 \tabularnewline
404 & 2 & 5.34897369447295 & -3.34897369447295 \tabularnewline
405 & 1 & 5.34897369447296 & -4.34897369447296 \tabularnewline
406 & 3 & 5.32348057048571 & -2.32348057048571 \tabularnewline
407 & 5 & 8.48266091878379 & -3.48266091878379 \tabularnewline
408 & 2 & 8.48266091878379 & -6.48266091878379 \tabularnewline
409 & 9 & 8.48266091878379 & 0.517339081216212 \tabularnewline
410 & 2 & 4.60563318448819 & -2.60563318448819 \tabularnewline
411 & 0 & 4.66249341371055 & -4.66249341371055 \tabularnewline
412 & 0 & 3.74857407277302 & -3.74857407277302 \tabularnewline
413 & 2 & 3.59717623998304 & -1.59717623998304 \tabularnewline
414 & 0 & 3.59717623998304 & -3.59717623998304 \tabularnewline
415 & 0 & 4.66249341371055 & -4.66249341371055 \tabularnewline
416 & 0 & 4.66249341371055 & -4.66249341371055 \tabularnewline
417 & 0 & 5.00480079142481 & -5.00480079142481 \tabularnewline
418 & 0 & 5.00480079142481 & -5.00480079142481 \tabularnewline
419 & 0 & 5.00480079142481 & -5.00480079142481 \tabularnewline
420 & 2 & 5.34897369447295 & -3.34897369447295 \tabularnewline
421 & 1 & 5.34897369447296 & -4.34897369447296 \tabularnewline
422 & 1 & 5.00480079142481 & -4.00480079142481 \tabularnewline
423 & 0 & 6.00213772913775 & -6.00213772913775 \tabularnewline
424 & 3 & 9.32796100304419 & -6.32796100304419 \tabularnewline
425 & 2 & 6.8808219682667 & -4.8808219682667 \tabularnewline
426 & 4 & 6.00213772913775 & -2.00213772913775 \tabularnewline
427 & 3 & 10.6659796609634 & -7.66597966096345 \tabularnewline
428 & 1 & 5.04055400668995 & -4.04055400668995 \tabularnewline
429 & 16 & 7.62946980364208 & 8.37053019635792 \tabularnewline
430 & 6 & 6.45258291301539 & -0.45258291301539 \tabularnewline
431 & 9 & 6.00213772913775 & 2.99786227086225 \tabularnewline
432 & 9 & 8.63261942275661 & 0.367380577243386 \tabularnewline
433 & 0 & 4.9338671666846 & -4.9338671666846 \tabularnewline
434 & 9 & 6.8808219682667 & 2.1191780317333 \tabularnewline
435 & 8 & 4.29251782027062 & 3.70748217972938 \tabularnewline
436 & 0 & 5.00480079142481 & -5.00480079142481 \tabularnewline
437 & 1 & 6.04431527476054 & -5.04431527476054 \tabularnewline
438 & 12 & 8.72559389252235 & 3.27440610747765 \tabularnewline
439 & 10 & 8.60712629876937 & 1.39287370123063 \tabularnewline
440 & 7 & 4.93386716668459 & 2.06613283331541 \tabularnewline
441 & 13 & 6.45258291301539 & 6.54741708698461 \tabularnewline
442 & 16 & 6.45258291301539 & 9.54741708698461 \tabularnewline
443 & 6 & 0.749595310206955 & 5.25040468979305 \tabularnewline
444 & 7 & 5.15619862421479 & 1.84380137578521 \tabularnewline
445 & 5 & 4.97930766743757 & 0.0206923325624277 \tabularnewline
446 & 9 & 8.48266091878379 & 0.517339081216212 \tabularnewline
447 & 11 & 8.50815404277103 & 2.49184595722897 \tabularnewline
448 & 11 & 8.03025231223477 & 2.96974768776523 \tabularnewline
449 & 13 & 4.29251782027062 & 8.70748217972938 \tabularnewline
450 & 13 & 7.79474130920423 & 5.20525869079577 \tabularnewline
451 & 0 & 4.9338671666846 & -4.9338671666846 \tabularnewline
452 & 12 & 6.45258291301539 & 5.54741708698461 \tabularnewline
453 & 12 & 4.97930766743757 & 7.02069233256243 \tabularnewline
454 & 2 & 5.00480079142481 & -3.00480079142481 \tabularnewline
455 & 2 & 8.60712629876937 & -6.60712629876937 \tabularnewline
456 & 12 & 6.91605707007528 & 5.08394292992472 \tabularnewline
457 & 7 & 5.32348057048571 & 1.67651942951429 \tabularnewline
458 & 1 & 4.07504977176042 & -3.07504977176042 \tabularnewline
459 & 0 & 7.57616354855428 & -7.57616354855428 \tabularnewline
460 & 6 & 5.00480079142481 & 0.995199208575187 \tabularnewline
461 & 14 & 6.45258291301539 & 7.54741708698461 \tabularnewline
462 & 10 & 8.60712629876937 & 1.39287370123063 \tabularnewline
463 & 11 & 7.76797206599176 & 3.23202793400824 \tabularnewline
464 & 4 & 2.71849200085409 & 1.28150799914591 \tabularnewline
465 & 8 & 4.97930766743757 & 3.02069233256243 \tabularnewline
466 & 12 & 4.97930766743757 & 7.02069233256243 \tabularnewline
467 & 0 & 8.48266091878378 & -8.48266091878378 \tabularnewline
468 & 10 & 4.29251782027062 & 5.70748217972938 \tabularnewline
469 & 14 & 8.72559389252235 & 5.27440610747765 \tabularnewline
470 & 12 & 6.91605707007528 & 5.08394292992472 \tabularnewline
471 & 1 & 5.50037152726293 & -4.50037152726293 \tabularnewline
472 & 0 & 7.38233393267979 & -7.38233393267979 \tabularnewline
473 & 9 & 5.34897369447295 & 3.65102630552705 \tabularnewline
474 & 12 & 0.749595310206946 & 11.2504046897931 \tabularnewline
475 & 9 & 8.03025231223477 & 0.969747687765227 \tabularnewline
476 & 6 & 8.50815404277103 & -2.50815404277103 \tabularnewline
477 & 12 & 6.91605707007528 & 5.08394292992472 \tabularnewline
478 & 17 & 8.60712629876937 & 8.39287370123063 \tabularnewline
479 & 10 & 7.79474130920423 & 2.20525869079577 \tabularnewline
480 & 12 & 8.03025231223477 & 3.96974768776523 \tabularnewline
481 & 19 & 6.45258291301539 & 12.5474170869846 \tabularnewline
482 & 12 & 4.4843263377081 & 7.5156736622919 \tabularnewline
483 & 11 & 8.659551875561 & 2.340448124439 \tabularnewline
484 & 9 & 7.38233393267979 & 1.61766606732021 \tabularnewline
485 & 5 & 5.32348057048571 & -0.323480570485713 \tabularnewline
486 & 12 & 7.75393518362767 & 4.24606481637233 \tabularnewline
487 & 5 & 6.91605707007528 & -1.91605707007528 \tabularnewline
488 & 5 & 8.03025231223478 & -3.03025231223478 \tabularnewline
489 & 10 & 7.38233393267978 & 2.61766606732021 \tabularnewline
490 & 9 & 6.00213772913775 & 2.99786227086225 \tabularnewline
491 & 9 & 8.07767551296736 & 0.922324487032636 \tabularnewline
492 & 14 & 3.59717623998305 & 10.402823760017 \tabularnewline
493 & 22 & 8.50815404277102 & 13.491845957229 \tabularnewline
494 & 17 & 7.38233393267978 & 9.61766606732022 \tabularnewline
495 & 13 & 8.60712629876937 & 4.39287370123063 \tabularnewline
496 & 8 & 4.97930766743757 & 3.02069233256243 \tabularnewline
497 & 0 & 4.97930766743757 & -4.97930766743757 \tabularnewline
498 & 12 & 4.12611655229587 & 7.87388344770413 \tabularnewline
499 & 0 & 6.00213772913775 & -6.00213772913775 \tabularnewline
500 & 3 & 10.6659796609634 & -7.66597966096345 \tabularnewline
501 & 4 & 8.03025231223478 & -4.03025231223478 \tabularnewline
502 & 10 & 8.03025231223477 & 1.96974768776523 \tabularnewline
503 & 10 & 8.03025231223477 & 1.96974768776523 \tabularnewline
504 & 12 & 8.48266091878379 & 3.51733908121621 \tabularnewline
505 & 14 & 8.03025231223478 & 5.96974768776522 \tabularnewline
506 & 14 & 6.45258291301539 & 7.54741708698461 \tabularnewline
507 & 5 & 5.00480079142481 & -0.00480079142481316 \tabularnewline
508 & 15 & 4.51109558092057 & 10.4889044190794 \tabularnewline
509 & 7 & 6.91605707007528 & 0.0839429299247176 \tabularnewline
510 & 15 & 6.8808219682667 & 8.1191780317333 \tabularnewline
511 & 15 & 8.63261942275661 & 6.36738057724339 \tabularnewline
512 & 11 & 4.12611655229586 & 6.87388344770414 \tabularnewline
513 & 2 & 2.60813901323597 & -0.608139013235969 \tabularnewline
514 & 1 & 2.60813901323597 & -1.60813901323597 \tabularnewline
515 & 5 & 2.60813901323597 & 2.39186098676403 \tabularnewline
516 & 5 & 2.60813901323597 & 2.39186098676403 \tabularnewline
517 & 4 & 2.15721986164872 & 1.84278013835128 \tabularnewline
518 & 7 & 2.15721986164872 & 4.84278013835128 \tabularnewline
519 & 5 & 2.15721986164872 & 2.84278013835128 \tabularnewline
520 & 4 & 2.15721986164872 & 1.84278013835128 \tabularnewline
521 & 2 & 2.60813901323597 & -0.608139013235969 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203011&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]6.61457982610644[/C][C]1.38542017389356[/C][/ROW]
[ROW][C]2[/C][C]9[/C][C]6.61457982610647[/C][C]2.38542017389353[/C][/ROW]
[ROW][C]3[/C][C]8[/C][C]8.49008288949181[/C][C]-0.490082889491808[/C][/ROW]
[ROW][C]4[/C][C]5[/C][C]8.72559389252235[/C][C]-3.72559389252235[/C][/ROW]
[ROW][C]5[/C][C]3[/C][C]10.6659796609635[/C][C]-7.66597966096345[/C][/ROW]
[ROW][C]6[/C][C]4[/C][C]4.21601978068707[/C][C]-0.216019780687065[/C][/ROW]
[ROW][C]7[/C][C]2[/C][C]4.21601978068707[/C][C]-2.21601978068707[/C][/ROW]
[ROW][C]8[/C][C]1[/C][C]2.33082642452511[/C][C]-1.33082642452511[/C][/ROW]
[ROW][C]9[/C][C]3[/C][C]2.33082642452511[/C][C]0.669173575474891[/C][/ROW]
[ROW][C]10[/C][C]6[/C][C]2.33082642452511[/C][C]3.66917357547489[/C][/ROW]
[ROW][C]11[/C][C]1[/C][C]2.33082642452511[/C][C]-1.33082642452511[/C][/ROW]
[ROW][C]12[/C][C]5[/C][C]4.21601978068707[/C][C]0.78398021931293[/C][/ROW]
[ROW][C]13[/C][C]0[/C][C]4.97930766743758[/C][C]-4.97930766743758[/C][/ROW]
[ROW][C]14[/C][C]1[/C][C]2.15721986164872[/C][C]-1.15721986164872[/C][/ROW]
[ROW][C]15[/C][C]5[/C][C]-0.211988412240853[/C][C]5.21198841224085[/C][/ROW]
[ROW][C]16[/C][C]2[/C][C]5.33751745284981[/C][C]-3.33751745284981[/C][/ROW]
[ROW][C]17[/C][C]5[/C][C]4.07504977176042[/C][C]0.924950228239584[/C][/ROW]
[ROW][C]18[/C][C]2[/C][C]5.66057311299494[/C][C]-3.66057311299494[/C][/ROW]
[ROW][C]19[/C][C]2[/C][C]7.57840302310663[/C][C]-5.57840302310663[/C][/ROW]
[ROW][C]20[/C][C]0[/C][C]-0.390839749330097[/C][C]0.390839749330097[/C][/ROW]
[ROW][C]21[/C][C]3[/C][C]4.07504977176041[/C][C]-1.07504977176041[/C][/ROW]
[ROW][C]22[/C][C]2[/C][C]8.48266091878379[/C][C]-6.48266091878379[/C][/ROW]
[ROW][C]23[/C][C]2[/C][C]5.33751745284981[/C][C]-3.33751745284981[/C][/ROW]
[ROW][C]24[/C][C]2[/C][C]4.97930766743757[/C][C]-2.97930766743757[/C][/ROW]
[ROW][C]25[/C][C]2[/C][C]5.32348057048571[/C][C]-3.32348057048571[/C][/ROW]
[ROW][C]26[/C][C]3[/C][C]7.57840302310663[/C][C]-4.57840302310663[/C][/ROW]
[ROW][C]27[/C][C]2[/C][C]5.66057311299494[/C][C]-3.66057311299494[/C][/ROW]
[ROW][C]28[/C][C]0[/C][C]4.07504977176042[/C][C]-4.07504977176042[/C][/ROW]
[ROW][C]29[/C][C]1[/C][C]2.15721986164872[/C][C]-1.15721986164872[/C][/ROW]
[ROW][C]30[/C][C]7[/C][C]5.04055400668995[/C][C]1.95944599331005[/C][/ROW]
[ROW][C]31[/C][C]3[/C][C]4.8617026696007[/C][C]-1.8617026696007[/C][/ROW]
[ROW][C]32[/C][C]2[/C][C]4.8617026696007[/C][C]-2.8617026696007[/C][/ROW]
[ROW][C]33[/C][C]4[/C][C]6.07063607860887[/C][C]-2.07063607860887[/C][/ROW]
[ROW][C]34[/C][C]2[/C][C]5.04055400668995[/C][C]-3.04055400668995[/C][/ROW]
[ROW][C]35[/C][C]4[/C][C]5.04055400668995[/C][C]-1.04055400668995[/C][/ROW]
[ROW][C]36[/C][C]0[/C][C]6.00213772913775[/C][C]-6.00213772913775[/C][/ROW]
[ROW][C]37[/C][C]0[/C][C]7.03221980105668[/C][C]-7.03221980105668[/C][/ROW]
[ROW][C]38[/C][C]2[/C][C]6.00213772913775[/C][C]-4.00213772913775[/C][/ROW]
[ROW][C]39[/C][C]3[/C][C]6.00213772913775[/C][C]-3.00213772913775[/C][/ROW]
[ROW][C]40[/C][C]3[/C][C]7.03221980105668[/C][C]-4.03221980105668[/C][/ROW]
[ROW][C]41[/C][C]14[/C][C]5.11075812346182[/C][C]8.88924187653818[/C][/ROW]
[ROW][C]42[/C][C]13[/C][C]5.11075812346181[/C][C]7.88924187653819[/C][/ROW]
[ROW][C]43[/C][C]2[/C][C]4.21601978068707[/C][C]-2.21601978068707[/C][/ROW]
[ROW][C]44[/C][C]5[/C][C]4.66249341371055[/C][C]0.337506586289451[/C][/ROW]
[ROW][C]45[/C][C]2[/C][C]4.21601978068707[/C][C]-2.21601978068707[/C][/ROW]
[ROW][C]46[/C][C]5[/C][C]3.76775507093581[/C][C]1.23224492906419[/C][/ROW]
[ROW][C]47[/C][C]2[/C][C]3.76775507093581[/C][C]-1.76775507093581[/C][/ROW]
[ROW][C]48[/C][C]3[/C][C]4.21601978068707[/C][C]-1.21601978068707[/C][/ROW]
[ROW][C]49[/C][C]2[/C][C]5.66057311299494[/C][C]-3.66057311299494[/C][/ROW]
[ROW][C]50[/C][C]2[/C][C]5.66057311299494[/C][C]-3.66057311299494[/C][/ROW]
[ROW][C]51[/C][C]4[/C][C]5.66057311299494[/C][C]-1.66057311299494[/C][/ROW]
[ROW][C]52[/C][C]9[/C][C]2.15721986164872[/C][C]6.84278013835128[/C][/ROW]
[ROW][C]53[/C][C]3[/C][C]7.57840302310663[/C][C]-4.57840302310663[/C][/ROW]
[ROW][C]54[/C][C]3[/C][C]5.66057311299494[/C][C]-2.66057311299494[/C][/ROW]
[ROW][C]55[/C][C]8[/C][C]7.57840302310663[/C][C]0.421596976893369[/C][/ROW]
[ROW][C]56[/C][C]10[/C][C]8.48266091878379[/C][C]1.51733908121621[/C][/ROW]
[ROW][C]57[/C][C]9[/C][C]4.97930766743757[/C][C]4.02069233256243[/C][/ROW]
[ROW][C]58[/C][C]6[/C][C]5.15619862421479[/C][C]0.843801375785211[/C][/ROW]
[ROW][C]59[/C][C]1[/C][C]2.15721986164872[/C][C]-1.15721986164872[/C][/ROW]
[ROW][C]60[/C][C]3[/C][C]5.00480079142481[/C][C]-2.00480079142481[/C][/ROW]
[ROW][C]61[/C][C]2[/C][C]5.66057311299494[/C][C]-3.66057311299494[/C][/ROW]
[ROW][C]62[/C][C]0[/C][C]2.15721986164872[/C][C]-2.15721986164872[/C][/ROW]
[ROW][C]63[/C][C]3[/C][C]8.50815404277103[/C][C]-5.50815404277103[/C][/ROW]
[ROW][C]64[/C][C]2[/C][C]5.66057311299494[/C][C]-3.66057311299494[/C][/ROW]
[ROW][C]65[/C][C]0[/C][C]4.07504977176042[/C][C]-4.07504977176042[/C][/ROW]
[ROW][C]66[/C][C]9[/C][C]5.00480079142481[/C][C]3.99519920857519[/C][/ROW]
[ROW][C]67[/C][C]4[/C][C]4.07504977176042[/C][C]-0.0750497717604156[/C][/ROW]
[ROW][C]68[/C][C]7[/C][C]5.00480079142481[/C][C]1.99519920857519[/C][/ROW]
[ROW][C]69[/C][C]1[/C][C]2.15721986164872[/C][C]-1.15721986164872[/C][/ROW]
[ROW][C]70[/C][C]0[/C][C]5.66057311299494[/C][C]-5.66057311299494[/C][/ROW]
[ROW][C]71[/C][C]2[/C][C]5.15619862421479[/C][C]-3.15619862421479[/C][/ROW]
[ROW][C]72[/C][C]3[/C][C]2.15721986164872[/C][C]0.842780138351277[/C][/ROW]
[ROW][C]73[/C][C]1[/C][C]4.07504977176042[/C][C]-3.07504977176042[/C][/ROW]
[ROW][C]74[/C][C]5[/C][C]10.8173774937534[/C][C]-5.81737749375342[/C][/ROW]
[ROW][C]75[/C][C]1[/C][C]5.9192382458189[/C][C]-4.9192382458189[/C][/ROW]
[ROW][C]76[/C][C]8[/C][C]5.89178474151963[/C][C]2.10821525848037[/C][/ROW]
[ROW][C]77[/C][C]4[/C][C]8.72559389252235[/C][C]-4.72559389252235[/C][/ROW]
[ROW][C]78[/C][C]4[/C][C]8.72559389252235[/C][C]-4.72559389252235[/C][/ROW]
[ROW][C]79[/C][C]8[/C][C]6.61457982610647[/C][C]1.38542017389353[/C][/ROW]
[ROW][C]80[/C][C]9[/C][C]8.03025231223477[/C][C]0.969747687765227[/C][/ROW]
[ROW][C]81[/C][C]10[/C][C]6.00213772913775[/C][C]3.99786227086225[/C][/ROW]
[ROW][C]82[/C][C]36[/C][C]11.361321241251[/C][C]24.638678758749[/C][/ROW]
[ROW][C]83[/C][C]10[/C][C]8.64665630512071[/C][C]1.35334369487929[/C][/ROW]
[ROW][C]84[/C][C]6[/C][C]7.75393518362767[/C][C]-1.75393518362767[/C][/ROW]
[ROW][C]85[/C][C]1[/C][C]9.32796100304419[/C][C]-8.32796100304419[/C][/ROW]
[ROW][C]86[/C][C]2[/C][C]6.00213772913775[/C][C]-4.00213772913775[/C][/ROW]
[ROW][C]87[/C][C]6[/C][C]9.7872954218345[/C][C]-3.7872954218345[/C][/ROW]
[ROW][C]88[/C][C]8[/C][C]9.32796100304419[/C][C]-1.32796100304419[/C][/ROW]
[ROW][C]89[/C][C]9[/C][C]8.18165014502475[/C][C]0.81834985497525[/C][/ROW]
[ROW][C]90[/C][C]9[/C][C]6.61457982610647[/C][C]2.38542017389353[/C][/ROW]
[ROW][C]91[/C][C]2[/C][C]8.78401725554659[/C][C]-6.78401725554659[/C][/ROW]
[ROW][C]92[/C][C]1[/C][C]10.6659796609634[/C][C]-9.66597966096345[/C][/ROW]
[ROW][C]93[/C][C]8[/C][C]6.43572848901723[/C][C]1.56427151098277[/C][/ROW]
[ROW][C]94[/C][C]6[/C][C]10.6659796609634[/C][C]-4.66597966096345[/C][/ROW]
[ROW][C]95[/C][C]7[/C][C]7.03221980105668[/C][C]-0.0322198010566787[/C][/ROW]
[ROW][C]96[/C][C]6[/C][C]10.6659796609634[/C][C]-4.66597966096345[/C][/ROW]
[ROW][C]97[/C][C]5[/C][C]7.75393518362767[/C][C]-2.75393518362767[/C][/ROW]
[ROW][C]98[/C][C]1[/C][C]8.00475918824753[/C][C]-7.00475918824753[/C][/ROW]
[ROW][C]99[/C][C]3[/C][C]7.79474130920423[/C][C]-4.79474130920423[/C][/ROW]
[ROW][C]100[/C][C]8[/C][C]5.89178474151963[/C][C]2.10821525848037[/C][/ROW]
[ROW][C]101[/C][C]3[/C][C]6.00213772913775[/C][C]-3.00213772913775[/C][/ROW]
[ROW][C]102[/C][C]4[/C][C]11.361321241251[/C][C]-7.36132124125103[/C][/ROW]
[ROW][C]103[/C][C]10[/C][C]8.00475918824753[/C][C]1.99524081175247[/C][/ROW]
[ROW][C]104[/C][C]7[/C][C]6.91605707007528[/C][C]0.0839429299247176[/C][/ROW]
[ROW][C]105[/C][C]5[/C][C]6.43572848901723[/C][C]-1.43572848901723[/C][/ROW]
[ROW][C]106[/C][C]4[/C][C]10.8173774937534[/C][C]-6.81737749375342[/C][/ROW]
[ROW][C]107[/C][C]4[/C][C]6.61457982610647[/C][C]-2.61457982610647[/C][/ROW]
[ROW][C]108[/C][C]5[/C][C]11.361321241251[/C][C]-6.36132124125102[/C][/ROW]
[ROW][C]109[/C][C]7[/C][C]8.78401725554659[/C][C]-1.78401725554659[/C][/ROW]
[ROW][C]110[/C][C]2[/C][C]6.43572848901723[/C][C]-4.43572848901723[/C][/ROW]
[ROW][C]111[/C][C]9[/C][C]9.32796100304419[/C][C]-0.327961003044192[/C][/ROW]
[ROW][C]112[/C][C]4[/C][C]7.79474130920423[/C][C]-3.79474130920423[/C][/ROW]
[ROW][C]113[/C][C]9[/C][C]8.18165014502475[/C][C]0.81834985497525[/C][/ROW]
[ROW][C]114[/C][C]6[/C][C]6.8808219682667[/C][C]-0.880821968266702[/C][/ROW]
[ROW][C]115[/C][C]8[/C][C]5.00480079142481[/C][C]2.99519920857519[/C][/ROW]
[ROW][C]116[/C][C]2[/C][C]5.15619862421479[/C][C]-3.15619862421479[/C][/ROW]
[ROW][C]117[/C][C]1[/C][C]5.00480079142481[/C][C]-4.00480079142481[/C][/ROW]
[ROW][C]118[/C][C]3[/C][C]2.60813901323597[/C][C]0.391860986764031[/C][/ROW]
[ROW][C]119[/C][C]4[/C][C]2.60813901323597[/C][C]1.39186098676403[/C][/ROW]
[ROW][C]120[/C][C]3[/C][C]2.60813901323597[/C][C]0.391860986764031[/C][/ROW]
[ROW][C]121[/C][C]3[/C][C]5.00480079142481[/C][C]-2.00480079142481[/C][/ROW]
[ROW][C]122[/C][C]2[/C][C]2.78699035032521[/C][C]-0.786990350325213[/C][/ROW]
[ROW][C]123[/C][C]2[/C][C]2.60813901323597[/C][C]-0.608139013235969[/C][/ROW]
[ROW][C]124[/C][C]4[/C][C]2.60813901323597[/C][C]1.39186098676403[/C][/ROW]
[ROW][C]125[/C][C]2[/C][C]4.07504977176042[/C][C]-2.07504977176042[/C][/ROW]
[ROW][C]126[/C][C]3[/C][C]2.60813901323597[/C][C]0.391860986764031[/C][/ROW]
[ROW][C]127[/C][C]3[/C][C]4.07504977176041[/C][C]-1.07504977176041[/C][/ROW]
[ROW][C]128[/C][C]3[/C][C]5.50037152726293[/C][C]-2.50037152726293[/C][/ROW]
[ROW][C]129[/C][C]3[/C][C]5.50037152726293[/C][C]-2.50037152726293[/C][/ROW]
[ROW][C]130[/C][C]6[/C][C]5.04055400668995[/C][C]0.959445993310053[/C][/ROW]
[ROW][C]131[/C][C]7[/C][C]6.91605707007528[/C][C]0.0839429299247176[/C][/ROW]
[ROW][C]132[/C][C]6[/C][C]6.91605707007528[/C][C]-0.916057070075283[/C][/ROW]
[ROW][C]133[/C][C]9[/C][C]6.8808219682667[/C][C]2.1191780317333[/C][/ROW]
[ROW][C]134[/C][C]0[/C][C]8.63261942275661[/C][C]-8.63261942275661[/C][/ROW]
[ROW][C]135[/C][C]1[/C][C]7.15156807310583[/C][C]-6.15156807310583[/C][/ROW]
[ROW][C]136[/C][C]8[/C][C]6.8808219682667[/C][C]1.1191780317333[/C][/ROW]
[ROW][C]137[/C][C]9[/C][C]8.63261942275661[/C][C]0.367380577243386[/C][/ROW]
[ROW][C]138[/C][C]6[/C][C]10.6659796609634[/C][C]-4.66597966096345[/C][/ROW]
[ROW][C]139[/C][C]11[/C][C]9.7872954218345[/C][C]1.2127045781655[/C][/ROW]
[ROW][C]140[/C][C]3[/C][C]6.91605707007528[/C][C]-3.91605707007528[/C][/ROW]
[ROW][C]141[/C][C]6[/C][C]7.15156807310582[/C][C]-1.15156807310582[/C][/ROW]
[ROW][C]142[/C][C]6[/C][C]6.50364969355084[/C][C]-0.503649693550839[/C][/ROW]
[ROW][C]143[/C][C]8[/C][C]6.91605707007528[/C][C]1.08394292992472[/C][/ROW]
[ROW][C]144[/C][C]12[/C][C]5.34897369447296[/C][C]6.65102630552704[/C][/ROW]
[ROW][C]145[/C][C]1[/C][C]8.50815404277103[/C][C]-7.50815404277103[/C][/ROW]
[ROW][C]146[/C][C]9[/C][C]5.00480079142481[/C][C]3.99519920857519[/C][/ROW]
[ROW][C]147[/C][C]10[/C][C]5.04055400668995[/C][C]4.95944599331005[/C][/ROW]
[ROW][C]148[/C][C]5[/C][C]4.8617026696007[/C][C]0.138297330399296[/C][/ROW]
[ROW][C]149[/C][C]3[/C][C]8.63261942275661[/C][C]-5.63261942275661[/C][/ROW]
[ROW][C]150[/C][C]5[/C][C]5.33751745284981[/C][C]-0.337517452849808[/C][/ROW]
[ROW][C]151[/C][C]11[/C][C]10.6659796609634[/C][C]0.334020339036554[/C][/ROW]
[ROW][C]152[/C][C]7[/C][C]5.00480079142481[/C][C]1.99519920857519[/C][/ROW]
[ROW][C]153[/C][C]9[/C][C]4.97930766743757[/C][C]4.02069233256243[/C][/ROW]
[ROW][C]154[/C][C]21[/C][C]5.70014237171239[/C][C]15.2998576282876[/C][/ROW]
[ROW][C]155[/C][C]12[/C][C]5.70014237171239[/C][C]6.29985762828761[/C][/ROW]
[ROW][C]156[/C][C]3[/C][C]5.15619862421479[/C][C]-2.15619862421479[/C][/ROW]
[ROW][C]157[/C][C]5[/C][C]4.02960927100744[/C][C]0.970390728992561[/C][/ROW]
[ROW][C]158[/C][C]11[/C][C]4.02960927100744[/C][C]6.97039072899256[/C][/ROW]
[ROW][C]159[/C][C]4[/C][C]4.02960927100744[/C][C]-0.029609271007439[/C][/ROW]
[ROW][C]160[/C][C]11[/C][C]8.659551875561[/C][C]2.340448124439[/C][/ROW]
[ROW][C]161[/C][C]18[/C][C]8.65955187556101[/C][C]9.34044812443899[/C][/ROW]
[ROW][C]162[/C][C]6[/C][C]8.50815404277103[/C][C]-2.50815404277103[/C][/ROW]
[ROW][C]163[/C][C]8[/C][C]8.50815404277103[/C][C]-0.508154042771028[/C][/ROW]
[ROW][C]164[/C][C]8[/C][C]7.57840302310663[/C][C]0.421596976893369[/C][/ROW]
[ROW][C]165[/C][C]12[/C][C]8.50815404277103[/C][C]3.49184595722897[/C][/ROW]
[ROW][C]166[/C][C]5[/C][C]8.65955187556101[/C][C]-3.65955187556101[/C][/ROW]
[ROW][C]167[/C][C]2[/C][C]8.65955187556101[/C][C]-6.65955187556101[/C][/ROW]
[ROW][C]168[/C][C]3[/C][C]7.57840302310663[/C][C]-4.57840302310663[/C][/ROW]
[ROW][C]169[/C][C]11[/C][C]7.57840302310663[/C][C]3.42159697689337[/C][/ROW]
[ROW][C]170[/C][C]26[/C][C]8.50815404277101[/C][C]17.491845957229[/C][/ROW]
[ROW][C]171[/C][C]2[/C][C]8.65955187556101[/C][C]-6.65955187556101[/C][/ROW]
[ROW][C]172[/C][C]2[/C][C]5.32348057048571[/C][C]-3.32348057048571[/C][/ROW]
[ROW][C]173[/C][C]8[/C][C]5.51440840962703[/C][C]2.48559159037298[/C][/ROW]
[ROW][C]174[/C][C]15[/C][C]7.57840302310664[/C][C]7.42159697689336[/C][/ROW]
[ROW][C]175[/C][C]18[/C][C]7.57840302310663[/C][C]10.4215969768934[/C][/ROW]
[ROW][C]176[/C][C]10[/C][C]4.41922267480856[/C][C]5.58077732519144[/C][/ROW]
[ROW][C]177[/C][C]2[/C][C]8.50815404277103[/C][C]-6.50815404277103[/C][/ROW]
[ROW][C]178[/C][C]6[/C][C]7.57840302310663[/C][C]-1.57840302310663[/C][/ROW]
[ROW][C]179[/C][C]7[/C][C]8.65955187556101[/C][C]-1.65955187556101[/C][/ROW]
[ROW][C]180[/C][C]16[/C][C]8.65955187556101[/C][C]7.34044812443899[/C][/ROW]
[ROW][C]181[/C][C]23[/C][C]8.659551875561[/C][C]14.340448124439[/C][/ROW]
[ROW][C]182[/C][C]2[/C][C]4.41922267480856[/C][C]-2.41922267480856[/C][/ROW]
[ROW][C]183[/C][C]1[/C][C]8.65955187556101[/C][C]-7.65955187556101[/C][/ROW]
[ROW][C]184[/C][C]7[/C][C]7.57840302310663[/C][C]-0.578403023106632[/C][/ROW]
[ROW][C]185[/C][C]10[/C][C]8.65955187556101[/C][C]1.34044812443899[/C][/ROW]
[ROW][C]186[/C][C]13[/C][C]8.65955187556101[/C][C]4.34044812443899[/C][/ROW]
[ROW][C]187[/C][C]11[/C][C]8.50815404277103[/C][C]2.49184595722897[/C][/ROW]
[ROW][C]188[/C][C]7[/C][C]5.70014237171239[/C][C]1.29985762828761[/C][/ROW]
[ROW][C]189[/C][C]19[/C][C]7.57840302310663[/C][C]11.4215969768934[/C][/ROW]
[ROW][C]190[/C][C]4[/C][C]4.41922267480856[/C][C]-0.419222674808557[/C][/ROW]
[ROW][C]191[/C][C]5[/C][C]8.65955187556101[/C][C]-3.65955187556101[/C][/ROW]
[ROW][C]192[/C][C]24[/C][C]8.50815404277102[/C][C]15.491845957229[/C][/ROW]
[ROW][C]193[/C][C]10[/C][C]5.00480079142481[/C][C]4.99519920857519[/C][/ROW]
[ROW][C]194[/C][C]13[/C][C]8.65955187556101[/C][C]4.34044812443899[/C][/ROW]
[ROW][C]195[/C][C]10[/C][C]7.57840302310663[/C][C]2.42159697689337[/C][/ROW]
[ROW][C]196[/C][C]11[/C][C]8.50815404277103[/C][C]2.49184595722897[/C][/ROW]
[ROW][C]197[/C][C]14[/C][C]4.41922267480856[/C][C]9.58077732519144[/C][/ROW]
[ROW][C]198[/C][C]7[/C][C]7.57840302310663[/C][C]-0.578403023106632[/C][/ROW]
[ROW][C]199[/C][C]12[/C][C]8.65955187556101[/C][C]3.34044812443899[/C][/ROW]
[ROW][C]200[/C][C]8[/C][C]5.70014237171239[/C][C]2.29985762828761[/C][/ROW]
[ROW][C]201[/C][C]6[/C][C]5.00480079142481[/C][C]0.995199208575187[/C][/ROW]
[ROW][C]202[/C][C]1[/C][C]8.65955187556101[/C][C]-7.65955187556101[/C][/ROW]
[ROW][C]203[/C][C]6[/C][C]8.65955187556101[/C][C]-2.65955187556101[/C][/ROW]
[ROW][C]204[/C][C]8[/C][C]8.50815404277103[/C][C]-0.508154042771028[/C][/ROW]
[ROW][C]205[/C][C]6[/C][C]8.65955187556101[/C][C]-2.65955187556101[/C][/ROW]
[ROW][C]206[/C][C]2[/C][C]4.41922267480856[/C][C]-2.41922267480856[/C][/ROW]
[ROW][C]207[/C][C]20[/C][C]8.50815404277103[/C][C]11.491845957229[/C][/ROW]
[ROW][C]208[/C][C]13[/C][C]8.65955187556101[/C][C]4.34044812443899[/C][/ROW]
[ROW][C]209[/C][C]18[/C][C]8.65955187556101[/C][C]9.34044812443899[/C][/ROW]
[ROW][C]210[/C][C]3[/C][C]8.65955187556101[/C][C]-5.65955187556101[/C][/ROW]
[ROW][C]211[/C][C]15[/C][C]8.65955187556101[/C][C]6.34044812443899[/C][/ROW]
[ROW][C]212[/C][C]4[/C][C]5.32348057048571[/C][C]-1.32348057048571[/C][/ROW]
[ROW][C]213[/C][C]6[/C][C]8.50815404277103[/C][C]-2.50815404277103[/C][/ROW]
[ROW][C]214[/C][C]11[/C][C]7.57840302310663[/C][C]3.42159697689337[/C][/ROW]
[ROW][C]215[/C][C]4[/C][C]5.32348057048571[/C][C]-1.32348057048571[/C][/ROW]
[ROW][C]216[/C][C]24[/C][C]8.659551875561[/C][C]15.340448124439[/C][/ROW]
[ROW][C]217[/C][C]7[/C][C]8.50815404277103[/C][C]-1.50815404277103[/C][/ROW]
[ROW][C]218[/C][C]14[/C][C]8.65955187556101[/C][C]5.34044812443899[/C][/ROW]
[ROW][C]219[/C][C]16[/C][C]8.65955187556101[/C][C]7.34044812443899[/C][/ROW]
[ROW][C]220[/C][C]9[/C][C]8.659551875561[/C][C]0.340448124438996[/C][/ROW]
[ROW][C]221[/C][C]1[/C][C]5.51440840962703[/C][C]-4.51440840962703[/C][/ROW]
[ROW][C]222[/C][C]2[/C][C]5.51440840962702[/C][C]-3.51440840962702[/C][/ROW]
[ROW][C]223[/C][C]0[/C][C]5.50037152726293[/C][C]-5.50037152726293[/C][/ROW]
[ROW][C]224[/C][C]0[/C][C]5.50037152726293[/C][C]-5.50037152726293[/C][/ROW]
[ROW][C]225[/C][C]0[/C][C]2.78699035032521[/C][C]-2.78699035032521[/C][/ROW]
[ROW][C]226[/C][C]0[/C][C]5.70014237171239[/C][C]-5.70014237171239[/C][/ROW]
[ROW][C]227[/C][C]1[/C][C]2.78699035032521[/C][C]-1.78699035032521[/C][/ROW]
[ROW][C]228[/C][C]5[/C][C]5.34897369447295[/C][C]-0.348973694472955[/C][/ROW]
[ROW][C]229[/C][C]0[/C][C]5.50037152726293[/C][C]-5.50037152726293[/C][/ROW]
[ROW][C]230[/C][C]2[/C][C]5.70014237171239[/C][C]-3.70014237171239[/C][/ROW]
[ROW][C]231[/C][C]3[/C][C]5.51440840962702[/C][C]-2.51440840962702[/C][/ROW]
[ROW][C]232[/C][C]4[/C][C]5.34897369447295[/C][C]-1.34897369447295[/C][/ROW]
[ROW][C]233[/C][C]1[/C][C]5.50037152726293[/C][C]-4.50037152726293[/C][/ROW]
[ROW][C]234[/C][C]10[/C][C]5.34897369447296[/C][C]4.65102630552704[/C][/ROW]
[ROW][C]235[/C][C]1[/C][C]5.50037152726293[/C][C]-4.50037152726293[/C][/ROW]
[ROW][C]236[/C][C]0[/C][C]5.50037152726293[/C][C]-5.50037152726293[/C][/ROW]
[ROW][C]237[/C][C]0[/C][C]5.70014237171239[/C][C]-5.70014237171239[/C][/ROW]
[ROW][C]238[/C][C]0[/C][C]1.75690827840629[/C][C]-1.75690827840629[/C][/ROW]
[ROW][C]239[/C][C]0[/C][C]3.22556476729985[/C][C]-3.22556476729985[/C][/ROW]
[ROW][C]240[/C][C]3[/C][C]4.470289455344[/C][C]-1.470289455344[/C][/ROW]
[ROW][C]241[/C][C]1[/C][C]3.63241134179162[/C][C]-2.63241134179162[/C][/ROW]
[ROW][C]242[/C][C]5[/C][C]2.15721986164872[/C][C]2.84278013835128[/C][/ROW]
[ROW][C]243[/C][C]1[/C][C]3.63241134179162[/C][C]-2.63241134179162[/C][/ROW]
[ROW][C]244[/C][C]4[/C][C]4.5347530029037[/C][C]-0.534753002903697[/C][/ROW]
[ROW][C]245[/C][C]1[/C][C]3.22556476729985[/C][C]-2.22556476729985[/C][/ROW]
[ROW][C]246[/C][C]4[/C][C]4.5347530029037[/C][C]-0.534753002903697[/C][/ROW]
[ROW][C]247[/C][C]3[/C][C]5.50037152726293[/C][C]-2.50037152726293[/C][/ROW]
[ROW][C]248[/C][C]25[/C][C]8.78401725554659[/C][C]16.2159827444534[/C][/ROW]
[ROW][C]249[/C][C]10[/C][C]8.78401725554659[/C][C]1.21598274445341[/C][/ROW]
[ROW][C]250[/C][C]19[/C][C]8.78401725554659[/C][C]10.2159827444534[/C][/ROW]
[ROW][C]251[/C][C]16[/C][C]8.78401725554659[/C][C]7.21598274445341[/C][/ROW]
[ROW][C]252[/C][C]14[/C][C]8.78401725554659[/C][C]5.21598274445341[/C][/ROW]
[ROW][C]253[/C][C]10[/C][C]8.78401725554659[/C][C]1.21598274445341[/C][/ROW]
[ROW][C]254[/C][C]12[/C][C]8.78401725554659[/C][C]3.21598274445341[/C][/ROW]
[ROW][C]255[/C][C]20[/C][C]8.78401725554659[/C][C]11.2159827444534[/C][/ROW]
[ROW][C]256[/C][C]22[/C][C]8.78401725554659[/C][C]13.2159827444534[/C][/ROW]
[ROW][C]257[/C][C]13[/C][C]8.78401725554659[/C][C]4.21598274445341[/C][/ROW]
[ROW][C]258[/C][C]17[/C][C]8.78401725554659[/C][C]8.21598274445341[/C][/ROW]
[ROW][C]259[/C][C]34[/C][C]8.78401725554659[/C][C]25.2159827444534[/C][/ROW]
[ROW][C]260[/C][C]13[/C][C]4.60563318448819[/C][C]8.39436681551181[/C][/ROW]
[ROW][C]261[/C][C]5[/C][C]4.60563318448819[/C][C]0.39436681551181[/C][/ROW]
[ROW][C]262[/C][C]6[/C][C]4.60563318448819[/C][C]1.39436681551181[/C][/ROW]
[ROW][C]263[/C][C]1[/C][C]4.60563318448819[/C][C]-3.60563318448819[/C][/ROW]
[ROW][C]264[/C][C]8[/C][C]7.57840302310663[/C][C]0.421596976893369[/C][/ROW]
[ROW][C]265[/C][C]4[/C][C]4.47028945534401[/C][C]-0.470289455344006[/C][/ROW]
[ROW][C]266[/C][C]5[/C][C]3.59717623998304[/C][C]1.40282376001696[/C][/ROW]
[ROW][C]267[/C][C]8[/C][C]4.07504977176042[/C][C]3.92495022823958[/C][/ROW]
[ROW][C]268[/C][C]6[/C][C]3.59717623998304[/C][C]2.40282376001696[/C][/ROW]
[ROW][C]269[/C][C]8[/C][C]8.659551875561[/C][C]-0.659551875561004[/C][/ROW]
[ROW][C]270[/C][C]2[/C][C]7.57840302310663[/C][C]-5.57840302310663[/C][/ROW]
[ROW][C]271[/C][C]0[/C][C]7.57840302310663[/C][C]-7.57840302310663[/C][/ROW]
[ROW][C]272[/C][C]1[/C][C]4.41922267480856[/C][C]-3.41922267480856[/C][/ROW]
[ROW][C]273[/C][C]10[/C][C]4.48560245693333[/C][C]5.51439754306667[/C][/ROW]
[ROW][C]274[/C][C]0[/C][C]4.48560245693333[/C][C]-4.48560245693333[/C][/ROW]
[ROW][C]275[/C][C]1[/C][C]4.07504977176042[/C][C]-3.07504977176042[/C][/ROW]
[ROW][C]276[/C][C]8[/C][C]2.66742522031865[/C][C]5.33257477968135[/C][/ROW]
[ROW][C]277[/C][C]7[/C][C]4.48560245693333[/C][C]2.51439754306667[/C][/ROW]
[ROW][C]278[/C][C]8[/C][C]4.12611655229587[/C][C]3.87388344770413[/C][/ROW]
[ROW][C]279[/C][C]4[/C][C]4.97930766743757[/C][C]-0.979307667437573[/C][/ROW]
[ROW][C]280[/C][C]1[/C][C]2.45674118044599[/C][C]-1.45674118044599[/C][/ROW]
[ROW][C]281[/C][C]9[/C][C]7.35684080869254[/C][C]1.64315919130746[/C][/ROW]
[ROW][C]282[/C][C]8[/C][C]3.59717623998304[/C][C]4.40282376001696[/C][/ROW]
[ROW][C]283[/C][C]3[/C][C]8.50815404277103[/C][C]-5.50815404277103[/C][/ROW]
[ROW][C]284[/C][C]5[/C][C]8.50815404277103[/C][C]-3.50815404277103[/C][/ROW]
[ROW][C]285[/C][C]0[/C][C]7.57840302310663[/C][C]-7.57840302310663[/C][/ROW]
[ROW][C]286[/C][C]1[/C][C]5.15619862421479[/C][C]-4.15619862421479[/C][/ROW]
[ROW][C]287[/C][C]1[/C][C]7.57840302310663[/C][C]-6.57840302310663[/C][/ROW]
[ROW][C]288[/C][C]3[/C][C]1.5269901607816[/C][C]1.4730098392184[/C][/ROW]
[ROW][C]289[/C][C]5[/C][C]7.57840302310663[/C][C]-2.57840302310663[/C][/ROW]
[ROW][C]290[/C][C]7[/C][C]7.57840302310663[/C][C]-0.578403023106632[/C][/ROW]
[ROW][C]291[/C][C]1[/C][C]7.57840302310663[/C][C]-6.57840302310663[/C][/ROW]
[ROW][C]292[/C][C]2[/C][C]7.57840302310663[/C][C]-5.57840302310663[/C][/ROW]
[ROW][C]293[/C][C]13[/C][C]8.50815404277103[/C][C]4.49184595722897[/C][/ROW]
[ROW][C]294[/C][C]4[/C][C]8.50815404277103[/C][C]-4.50815404277103[/C][/ROW]
[ROW][C]295[/C][C]0[/C][C]2.66742522031865[/C][C]-2.66742522031865[/C][/ROW]
[ROW][C]296[/C][C]4[/C][C]2.66742522031865[/C][C]1.33257477968135[/C][/ROW]
[ROW][C]297[/C][C]1[/C][C]2.66742522031864[/C][C]-1.66742522031864[/C][/ROW]
[ROW][C]298[/C][C]4[/C][C]4.29251782027062[/C][C]-0.292517820270621[/C][/ROW]
[ROW][C]299[/C][C]0[/C][C]2.66742522031865[/C][C]-2.66742522031865[/C][/ROW]
[ROW][C]300[/C][C]0[/C][C]4.29251782027062[/C][C]-4.29251782027062[/C][/ROW]
[ROW][C]301[/C][C]1[/C][C]2.66742522031864[/C][C]-1.66742522031864[/C][/ROW]
[ROW][C]302[/C][C]2[/C][C]2.66742522031864[/C][C]-0.667425220318644[/C][/ROW]
[ROW][C]303[/C][C]0[/C][C]2.66742522031865[/C][C]-2.66742522031865[/C][/ROW]
[ROW][C]304[/C][C]2[/C][C]2.66742522031864[/C][C]-0.667425220318644[/C][/ROW]
[ROW][C]305[/C][C]0[/C][C]2.15721986164872[/C][C]-2.15721986164872[/C][/ROW]
[ROW][C]306[/C][C]6[/C][C]4.07504977176042[/C][C]1.92495022823958[/C][/ROW]
[ROW][C]307[/C][C]4[/C][C]4.5347530029037[/C][C]-0.534753002903697[/C][/ROW]
[ROW][C]308[/C][C]7[/C][C]3.58134456125617[/C][C]3.41865543874383[/C][/ROW]
[ROW][C]309[/C][C]6[/C][C]4.5347530029037[/C][C]1.4652469970963[/C][/ROW]
[ROW][C]310[/C][C]1[/C][C]2.15721986164872[/C][C]-1.15721986164872[/C][/ROW]
[ROW][C]311[/C][C]0[/C][C]4.07504977176042[/C][C]-4.07504977176042[/C][/ROW]
[ROW][C]312[/C][C]6[/C][C]2.51542964706096[/C][C]3.48457035293904[/C][/ROW]
[ROW][C]313[/C][C]3[/C][C]4.5347530029037[/C][C]-1.5347530029037[/C][/ROW]
[ROW][C]314[/C][C]2[/C][C]4.5347530029037[/C][C]-2.5347530029037[/C][/ROW]
[ROW][C]315[/C][C]2[/C][C]4.5347530029037[/C][C]-2.5347530029037[/C][/ROW]
[ROW][C]316[/C][C]2[/C][C]2.51542964706096[/C][C]-0.515429647060959[/C][/ROW]
[ROW][C]317[/C][C]0[/C][C]3.58134456125618[/C][C]-3.58134456125618[/C][/ROW]
[ROW][C]318[/C][C]0[/C][C]5.50037152726293[/C][C]-5.50037152726293[/C][/ROW]
[ROW][C]319[/C][C]4[/C][C]5.50037152726293[/C][C]-1.50037152726293[/C][/ROW]
[ROW][C]320[/C][C]0[/C][C]4.41922267480856[/C][C]-4.41922267480856[/C][/ROW]
[ROW][C]321[/C][C]3[/C][C]5.50037152726293[/C][C]-2.50037152726293[/C][/ROW]
[ROW][C]322[/C][C]0[/C][C]5.50037152726293[/C][C]-5.50037152726293[/C][/ROW]
[ROW][C]323[/C][C]1[/C][C]5.15619862421479[/C][C]-4.15619862421479[/C][/ROW]
[ROW][C]324[/C][C]1[/C][C]5.50037152726293[/C][C]-4.50037152726293[/C][/ROW]
[ROW][C]325[/C][C]2[/C][C]5.50037152726293[/C][C]-3.50037152726293[/C][/ROW]
[ROW][C]326[/C][C]7[/C][C]5.50037152726293[/C][C]1.49962847273707[/C][/ROW]
[ROW][C]327[/C][C]3[/C][C]5.50037152726293[/C][C]-2.50037152726293[/C][/ROW]
[ROW][C]328[/C][C]0[/C][C]5.50037152726293[/C][C]-5.50037152726293[/C][/ROW]
[ROW][C]329[/C][C]2[/C][C]4.07504977176042[/C][C]-2.07504977176042[/C][/ROW]
[ROW][C]330[/C][C]1[/C][C]2.15721986164872[/C][C]-1.15721986164872[/C][/ROW]
[ROW][C]331[/C][C]2[/C][C]2.15721986164872[/C][C]-0.157219861648723[/C][/ROW]
[ROW][C]332[/C][C]5[/C][C]4.41922267480856[/C][C]0.580777325191443[/C][/ROW]
[ROW][C]333[/C][C]6[/C][C]8.48266091878379[/C][C]-2.48266091878379[/C][/ROW]
[ROW][C]334[/C][C]4[/C][C]4.97930766743757[/C][C]-0.979307667437573[/C][/ROW]
[ROW][C]335[/C][C]1[/C][C]4.07504977176042[/C][C]-3.07504977176042[/C][/ROW]
[ROW][C]336[/C][C]3[/C][C]4.97930766743757[/C][C]-1.97930766743757[/C][/ROW]
[ROW][C]337[/C][C]0[/C][C]5.50037152726293[/C][C]-5.50037152726293[/C][/ROW]
[ROW][C]338[/C][C]2[/C][C]4.97930766743757[/C][C]-2.97930766743757[/C][/ROW]
[ROW][C]339[/C][C]4[/C][C]6.04431527476053[/C][C]-2.04431527476053[/C][/ROW]
[ROW][C]340[/C][C]2[/C][C]7.57840302310663[/C][C]-5.57840302310663[/C][/ROW]
[ROW][C]341[/C][C]2[/C][C]8.65955187556101[/C][C]-6.65955187556101[/C][/ROW]
[ROW][C]342[/C][C]4[/C][C]5.34897369447295[/C][C]-1.34897369447295[/C][/ROW]
[ROW][C]343[/C][C]1[/C][C]2.15721986164872[/C][C]-1.15721986164872[/C][/ROW]
[ROW][C]344[/C][C]1[/C][C]-0.390839749330096[/C][C]1.3908397493301[/C][/ROW]
[ROW][C]345[/C][C]3[/C][C]5.50037152726293[/C][C]-2.50037152726293[/C][/ROW]
[ROW][C]346[/C][C]12[/C][C]5.50037152726293[/C][C]6.49962847273707[/C][/ROW]
[ROW][C]347[/C][C]1[/C][C]5.50037152726293[/C][C]-4.50037152726293[/C][/ROW]
[ROW][C]348[/C][C]7[/C][C]5.11075812346181[/C][C]1.88924187653819[/C][/ROW]
[ROW][C]349[/C][C]2[/C][C]4.08067605154289[/C][C]-2.08067605154289[/C][/ROW]
[ROW][C]350[/C][C]0[/C][C]5.50037152726293[/C][C]-5.50037152726293[/C][/ROW]
[ROW][C]351[/C][C]0[/C][C]4.95936029067184[/C][C]-4.95936029067184[/C][/ROW]
[ROW][C]352[/C][C]4[/C][C]-0.211988412240853[/C][C]4.21198841224085[/C][/ROW]
[ROW][C]353[/C][C]4[/C][C]4.41922267480856[/C][C]-0.419222674808557[/C][/ROW]
[ROW][C]354[/C][C]3[/C][C]2.15721986164872[/C][C]0.842780138351277[/C][/ROW]
[ROW][C]355[/C][C]6[/C][C]5.50037152726293[/C][C]0.49962847273707[/C][/ROW]
[ROW][C]356[/C][C]0[/C][C]2.15721986164872[/C][C]-2.15721986164872[/C][/ROW]
[ROW][C]357[/C][C]5[/C][C]4.08067605154289[/C][C]0.919323948457112[/C][/ROW]
[ROW][C]358[/C][C]0[/C][C]5.50037152726293[/C][C]-5.50037152726293[/C][/ROW]
[ROW][C]359[/C][C]3[/C][C]4.41922267480856[/C][C]-1.41922267480856[/C][/ROW]
[ROW][C]360[/C][C]7[/C][C]3.22556476729985[/C][C]3.77443523270015[/C][/ROW]
[ROW][C]361[/C][C]10[/C][C]4.07504977176041[/C][C]5.92495022823959[/C][/ROW]
[ROW][C]362[/C][C]6[/C][C]4.07504977176042[/C][C]1.92495022823958[/C][/ROW]
[ROW][C]363[/C][C]6[/C][C]2.60813901323597[/C][C]3.39186098676403[/C][/ROW]
[ROW][C]364[/C][C]1[/C][C]2.60813901323597[/C][C]-1.60813901323597[/C][/ROW]
[ROW][C]365[/C][C]2[/C][C]4.60563318448819[/C][C]-2.60563318448819[/C][/ROW]
[ROW][C]366[/C][C]9[/C][C]4.60563318448819[/C][C]4.39436681551181[/C][/ROW]
[ROW][C]367[/C][C]0[/C][C]2.60813901323597[/C][C]-2.60813901323597[/C][/ROW]
[ROW][C]368[/C][C]5[/C][C]4.60563318448819[/C][C]0.39436681551181[/C][/ROW]
[ROW][C]369[/C][C]1[/C][C]2.60813901323597[/C][C]-1.60813901323597[/C][/ROW]
[ROW][C]370[/C][C]2[/C][C]4.02960927100744[/C][C]-2.02960927100744[/C][/ROW]
[ROW][C]371[/C][C]1[/C][C]4.08067605154289[/C][C]-3.08067605154289[/C][/ROW]
[ROW][C]372[/C][C]2[/C][C]4.02960927100744[/C][C]-2.02960927100744[/C][/ROW]
[ROW][C]373[/C][C]4[/C][C]4.02960927100744[/C][C]-0.029609271007439[/C][/ROW]
[ROW][C]374[/C][C]2[/C][C]4.02960927100744[/C][C]-2.02960927100744[/C][/ROW]
[ROW][C]375[/C][C]8[/C][C]4.08067605154289[/C][C]3.91932394845711[/C][/ROW]
[ROW][C]376[/C][C]4[/C][C]4.08067605154289[/C][C]-0.0806760515428878[/C][/ROW]
[ROW][C]377[/C][C]11[/C][C]8.63261942275661[/C][C]2.36738057724339[/C][/ROW]
[ROW][C]378[/C][C]12[/C][C]8.48266091878379[/C][C]3.51733908121621[/C][/ROW]
[ROW][C]379[/C][C]10[/C][C]5.32348057048572[/C][C]4.67651942951428[/C][/ROW]
[ROW][C]380[/C][C]11[/C][C]5.32348057048572[/C][C]5.67651942951428[/C][/ROW]
[ROW][C]381[/C][C]5[/C][C]5.32348057048571[/C][C]-0.323480570485713[/C][/ROW]
[ROW][C]382[/C][C]8[/C][C]8.18165014502475[/C][C]-0.181650145024749[/C][/ROW]
[ROW][C]383[/C][C]8[/C][C]8.18165014502475[/C][C]-0.181650145024749[/C][/ROW]
[ROW][C]384[/C][C]10[/C][C]8.78401725554659[/C][C]1.21598274445341[/C][/ROW]
[ROW][C]385[/C][C]4[/C][C]8.78401725554659[/C][C]-4.78401725554659[/C][/ROW]
[ROW][C]386[/C][C]3[/C][C]4.97930766743757[/C][C]-1.97930766743757[/C][/ROW]
[ROW][C]387[/C][C]10[/C][C]8.03025231223477[/C][C]1.96974768776523[/C][/ROW]
[ROW][C]388[/C][C]9[/C][C]8.63261942275661[/C][C]0.367380577243386[/C][/ROW]
[ROW][C]389[/C][C]11[/C][C]5.32348057048572[/C][C]5.67651942951428[/C][/ROW]
[ROW][C]390[/C][C]9[/C][C]5.32348057048571[/C][C]3.67651942951429[/C][/ROW]
[ROW][C]391[/C][C]5[/C][C]5.32348057048571[/C][C]-0.323480570485713[/C][/ROW]
[ROW][C]392[/C][C]8[/C][C]4.97930766743757[/C][C]3.02069233256243[/C][/ROW]
[ROW][C]393[/C][C]10[/C][C]5.32348057048572[/C][C]4.67651942951428[/C][/ROW]
[ROW][C]394[/C][C]5[/C][C]7.79474130920423[/C][C]-2.79474130920423[/C][/ROW]
[ROW][C]395[/C][C]8[/C][C]7.79474130920423[/C][C]0.205258690795768[/C][/ROW]
[ROW][C]396[/C][C]10[/C][C]8.03025231223477[/C][C]1.96974768776523[/C][/ROW]
[ROW][C]397[/C][C]7[/C][C]4.97930766743757[/C][C]2.02069233256243[/C][/ROW]
[ROW][C]398[/C][C]2[/C][C]5.15619862421479[/C][C]-3.15619862421479[/C][/ROW]
[ROW][C]399[/C][C]7[/C][C]5.15619862421479[/C][C]1.84380137578521[/C][/ROW]
[ROW][C]400[/C][C]2[/C][C]5.00480079142481[/C][C]-3.00480079142481[/C][/ROW]
[ROW][C]401[/C][C]5[/C][C]5.15619862421479[/C][C]-0.156198624214789[/C][/ROW]
[ROW][C]402[/C][C]5[/C][C]5.15619862421479[/C][C]-0.156198624214789[/C][/ROW]
[ROW][C]403[/C][C]4[/C][C]5.32348057048571[/C][C]-1.32348057048571[/C][/ROW]
[ROW][C]404[/C][C]2[/C][C]5.34897369447295[/C][C]-3.34897369447295[/C][/ROW]
[ROW][C]405[/C][C]1[/C][C]5.34897369447296[/C][C]-4.34897369447296[/C][/ROW]
[ROW][C]406[/C][C]3[/C][C]5.32348057048571[/C][C]-2.32348057048571[/C][/ROW]
[ROW][C]407[/C][C]5[/C][C]8.48266091878379[/C][C]-3.48266091878379[/C][/ROW]
[ROW][C]408[/C][C]2[/C][C]8.48266091878379[/C][C]-6.48266091878379[/C][/ROW]
[ROW][C]409[/C][C]9[/C][C]8.48266091878379[/C][C]0.517339081216212[/C][/ROW]
[ROW][C]410[/C][C]2[/C][C]4.60563318448819[/C][C]-2.60563318448819[/C][/ROW]
[ROW][C]411[/C][C]0[/C][C]4.66249341371055[/C][C]-4.66249341371055[/C][/ROW]
[ROW][C]412[/C][C]0[/C][C]3.74857407277302[/C][C]-3.74857407277302[/C][/ROW]
[ROW][C]413[/C][C]2[/C][C]3.59717623998304[/C][C]-1.59717623998304[/C][/ROW]
[ROW][C]414[/C][C]0[/C][C]3.59717623998304[/C][C]-3.59717623998304[/C][/ROW]
[ROW][C]415[/C][C]0[/C][C]4.66249341371055[/C][C]-4.66249341371055[/C][/ROW]
[ROW][C]416[/C][C]0[/C][C]4.66249341371055[/C][C]-4.66249341371055[/C][/ROW]
[ROW][C]417[/C][C]0[/C][C]5.00480079142481[/C][C]-5.00480079142481[/C][/ROW]
[ROW][C]418[/C][C]0[/C][C]5.00480079142481[/C][C]-5.00480079142481[/C][/ROW]
[ROW][C]419[/C][C]0[/C][C]5.00480079142481[/C][C]-5.00480079142481[/C][/ROW]
[ROW][C]420[/C][C]2[/C][C]5.34897369447295[/C][C]-3.34897369447295[/C][/ROW]
[ROW][C]421[/C][C]1[/C][C]5.34897369447296[/C][C]-4.34897369447296[/C][/ROW]
[ROW][C]422[/C][C]1[/C][C]5.00480079142481[/C][C]-4.00480079142481[/C][/ROW]
[ROW][C]423[/C][C]0[/C][C]6.00213772913775[/C][C]-6.00213772913775[/C][/ROW]
[ROW][C]424[/C][C]3[/C][C]9.32796100304419[/C][C]-6.32796100304419[/C][/ROW]
[ROW][C]425[/C][C]2[/C][C]6.8808219682667[/C][C]-4.8808219682667[/C][/ROW]
[ROW][C]426[/C][C]4[/C][C]6.00213772913775[/C][C]-2.00213772913775[/C][/ROW]
[ROW][C]427[/C][C]3[/C][C]10.6659796609634[/C][C]-7.66597966096345[/C][/ROW]
[ROW][C]428[/C][C]1[/C][C]5.04055400668995[/C][C]-4.04055400668995[/C][/ROW]
[ROW][C]429[/C][C]16[/C][C]7.62946980364208[/C][C]8.37053019635792[/C][/ROW]
[ROW][C]430[/C][C]6[/C][C]6.45258291301539[/C][C]-0.45258291301539[/C][/ROW]
[ROW][C]431[/C][C]9[/C][C]6.00213772913775[/C][C]2.99786227086225[/C][/ROW]
[ROW][C]432[/C][C]9[/C][C]8.63261942275661[/C][C]0.367380577243386[/C][/ROW]
[ROW][C]433[/C][C]0[/C][C]4.9338671666846[/C][C]-4.9338671666846[/C][/ROW]
[ROW][C]434[/C][C]9[/C][C]6.8808219682667[/C][C]2.1191780317333[/C][/ROW]
[ROW][C]435[/C][C]8[/C][C]4.29251782027062[/C][C]3.70748217972938[/C][/ROW]
[ROW][C]436[/C][C]0[/C][C]5.00480079142481[/C][C]-5.00480079142481[/C][/ROW]
[ROW][C]437[/C][C]1[/C][C]6.04431527476054[/C][C]-5.04431527476054[/C][/ROW]
[ROW][C]438[/C][C]12[/C][C]8.72559389252235[/C][C]3.27440610747765[/C][/ROW]
[ROW][C]439[/C][C]10[/C][C]8.60712629876937[/C][C]1.39287370123063[/C][/ROW]
[ROW][C]440[/C][C]7[/C][C]4.93386716668459[/C][C]2.06613283331541[/C][/ROW]
[ROW][C]441[/C][C]13[/C][C]6.45258291301539[/C][C]6.54741708698461[/C][/ROW]
[ROW][C]442[/C][C]16[/C][C]6.45258291301539[/C][C]9.54741708698461[/C][/ROW]
[ROW][C]443[/C][C]6[/C][C]0.749595310206955[/C][C]5.25040468979305[/C][/ROW]
[ROW][C]444[/C][C]7[/C][C]5.15619862421479[/C][C]1.84380137578521[/C][/ROW]
[ROW][C]445[/C][C]5[/C][C]4.97930766743757[/C][C]0.0206923325624277[/C][/ROW]
[ROW][C]446[/C][C]9[/C][C]8.48266091878379[/C][C]0.517339081216212[/C][/ROW]
[ROW][C]447[/C][C]11[/C][C]8.50815404277103[/C][C]2.49184595722897[/C][/ROW]
[ROW][C]448[/C][C]11[/C][C]8.03025231223477[/C][C]2.96974768776523[/C][/ROW]
[ROW][C]449[/C][C]13[/C][C]4.29251782027062[/C][C]8.70748217972938[/C][/ROW]
[ROW][C]450[/C][C]13[/C][C]7.79474130920423[/C][C]5.20525869079577[/C][/ROW]
[ROW][C]451[/C][C]0[/C][C]4.9338671666846[/C][C]-4.9338671666846[/C][/ROW]
[ROW][C]452[/C][C]12[/C][C]6.45258291301539[/C][C]5.54741708698461[/C][/ROW]
[ROW][C]453[/C][C]12[/C][C]4.97930766743757[/C][C]7.02069233256243[/C][/ROW]
[ROW][C]454[/C][C]2[/C][C]5.00480079142481[/C][C]-3.00480079142481[/C][/ROW]
[ROW][C]455[/C][C]2[/C][C]8.60712629876937[/C][C]-6.60712629876937[/C][/ROW]
[ROW][C]456[/C][C]12[/C][C]6.91605707007528[/C][C]5.08394292992472[/C][/ROW]
[ROW][C]457[/C][C]7[/C][C]5.32348057048571[/C][C]1.67651942951429[/C][/ROW]
[ROW][C]458[/C][C]1[/C][C]4.07504977176042[/C][C]-3.07504977176042[/C][/ROW]
[ROW][C]459[/C][C]0[/C][C]7.57616354855428[/C][C]-7.57616354855428[/C][/ROW]
[ROW][C]460[/C][C]6[/C][C]5.00480079142481[/C][C]0.995199208575187[/C][/ROW]
[ROW][C]461[/C][C]14[/C][C]6.45258291301539[/C][C]7.54741708698461[/C][/ROW]
[ROW][C]462[/C][C]10[/C][C]8.60712629876937[/C][C]1.39287370123063[/C][/ROW]
[ROW][C]463[/C][C]11[/C][C]7.76797206599176[/C][C]3.23202793400824[/C][/ROW]
[ROW][C]464[/C][C]4[/C][C]2.71849200085409[/C][C]1.28150799914591[/C][/ROW]
[ROW][C]465[/C][C]8[/C][C]4.97930766743757[/C][C]3.02069233256243[/C][/ROW]
[ROW][C]466[/C][C]12[/C][C]4.97930766743757[/C][C]7.02069233256243[/C][/ROW]
[ROW][C]467[/C][C]0[/C][C]8.48266091878378[/C][C]-8.48266091878378[/C][/ROW]
[ROW][C]468[/C][C]10[/C][C]4.29251782027062[/C][C]5.70748217972938[/C][/ROW]
[ROW][C]469[/C][C]14[/C][C]8.72559389252235[/C][C]5.27440610747765[/C][/ROW]
[ROW][C]470[/C][C]12[/C][C]6.91605707007528[/C][C]5.08394292992472[/C][/ROW]
[ROW][C]471[/C][C]1[/C][C]5.50037152726293[/C][C]-4.50037152726293[/C][/ROW]
[ROW][C]472[/C][C]0[/C][C]7.38233393267979[/C][C]-7.38233393267979[/C][/ROW]
[ROW][C]473[/C][C]9[/C][C]5.34897369447295[/C][C]3.65102630552705[/C][/ROW]
[ROW][C]474[/C][C]12[/C][C]0.749595310206946[/C][C]11.2504046897931[/C][/ROW]
[ROW][C]475[/C][C]9[/C][C]8.03025231223477[/C][C]0.969747687765227[/C][/ROW]
[ROW][C]476[/C][C]6[/C][C]8.50815404277103[/C][C]-2.50815404277103[/C][/ROW]
[ROW][C]477[/C][C]12[/C][C]6.91605707007528[/C][C]5.08394292992472[/C][/ROW]
[ROW][C]478[/C][C]17[/C][C]8.60712629876937[/C][C]8.39287370123063[/C][/ROW]
[ROW][C]479[/C][C]10[/C][C]7.79474130920423[/C][C]2.20525869079577[/C][/ROW]
[ROW][C]480[/C][C]12[/C][C]8.03025231223477[/C][C]3.96974768776523[/C][/ROW]
[ROW][C]481[/C][C]19[/C][C]6.45258291301539[/C][C]12.5474170869846[/C][/ROW]
[ROW][C]482[/C][C]12[/C][C]4.4843263377081[/C][C]7.5156736622919[/C][/ROW]
[ROW][C]483[/C][C]11[/C][C]8.659551875561[/C][C]2.340448124439[/C][/ROW]
[ROW][C]484[/C][C]9[/C][C]7.38233393267979[/C][C]1.61766606732021[/C][/ROW]
[ROW][C]485[/C][C]5[/C][C]5.32348057048571[/C][C]-0.323480570485713[/C][/ROW]
[ROW][C]486[/C][C]12[/C][C]7.75393518362767[/C][C]4.24606481637233[/C][/ROW]
[ROW][C]487[/C][C]5[/C][C]6.91605707007528[/C][C]-1.91605707007528[/C][/ROW]
[ROW][C]488[/C][C]5[/C][C]8.03025231223478[/C][C]-3.03025231223478[/C][/ROW]
[ROW][C]489[/C][C]10[/C][C]7.38233393267978[/C][C]2.61766606732021[/C][/ROW]
[ROW][C]490[/C][C]9[/C][C]6.00213772913775[/C][C]2.99786227086225[/C][/ROW]
[ROW][C]491[/C][C]9[/C][C]8.07767551296736[/C][C]0.922324487032636[/C][/ROW]
[ROW][C]492[/C][C]14[/C][C]3.59717623998305[/C][C]10.402823760017[/C][/ROW]
[ROW][C]493[/C][C]22[/C][C]8.50815404277102[/C][C]13.491845957229[/C][/ROW]
[ROW][C]494[/C][C]17[/C][C]7.38233393267978[/C][C]9.61766606732022[/C][/ROW]
[ROW][C]495[/C][C]13[/C][C]8.60712629876937[/C][C]4.39287370123063[/C][/ROW]
[ROW][C]496[/C][C]8[/C][C]4.97930766743757[/C][C]3.02069233256243[/C][/ROW]
[ROW][C]497[/C][C]0[/C][C]4.97930766743757[/C][C]-4.97930766743757[/C][/ROW]
[ROW][C]498[/C][C]12[/C][C]4.12611655229587[/C][C]7.87388344770413[/C][/ROW]
[ROW][C]499[/C][C]0[/C][C]6.00213772913775[/C][C]-6.00213772913775[/C][/ROW]
[ROW][C]500[/C][C]3[/C][C]10.6659796609634[/C][C]-7.66597966096345[/C][/ROW]
[ROW][C]501[/C][C]4[/C][C]8.03025231223478[/C][C]-4.03025231223478[/C][/ROW]
[ROW][C]502[/C][C]10[/C][C]8.03025231223477[/C][C]1.96974768776523[/C][/ROW]
[ROW][C]503[/C][C]10[/C][C]8.03025231223477[/C][C]1.96974768776523[/C][/ROW]
[ROW][C]504[/C][C]12[/C][C]8.48266091878379[/C][C]3.51733908121621[/C][/ROW]
[ROW][C]505[/C][C]14[/C][C]8.03025231223478[/C][C]5.96974768776522[/C][/ROW]
[ROW][C]506[/C][C]14[/C][C]6.45258291301539[/C][C]7.54741708698461[/C][/ROW]
[ROW][C]507[/C][C]5[/C][C]5.00480079142481[/C][C]-0.00480079142481316[/C][/ROW]
[ROW][C]508[/C][C]15[/C][C]4.51109558092057[/C][C]10.4889044190794[/C][/ROW]
[ROW][C]509[/C][C]7[/C][C]6.91605707007528[/C][C]0.0839429299247176[/C][/ROW]
[ROW][C]510[/C][C]15[/C][C]6.8808219682667[/C][C]8.1191780317333[/C][/ROW]
[ROW][C]511[/C][C]15[/C][C]8.63261942275661[/C][C]6.36738057724339[/C][/ROW]
[ROW][C]512[/C][C]11[/C][C]4.12611655229586[/C][C]6.87388344770414[/C][/ROW]
[ROW][C]513[/C][C]2[/C][C]2.60813901323597[/C][C]-0.608139013235969[/C][/ROW]
[ROW][C]514[/C][C]1[/C][C]2.60813901323597[/C][C]-1.60813901323597[/C][/ROW]
[ROW][C]515[/C][C]5[/C][C]2.60813901323597[/C][C]2.39186098676403[/C][/ROW]
[ROW][C]516[/C][C]5[/C][C]2.60813901323597[/C][C]2.39186098676403[/C][/ROW]
[ROW][C]517[/C][C]4[/C][C]2.15721986164872[/C][C]1.84278013835128[/C][/ROW]
[ROW][C]518[/C][C]7[/C][C]2.15721986164872[/C][C]4.84278013835128[/C][/ROW]
[ROW][C]519[/C][C]5[/C][C]2.15721986164872[/C][C]2.84278013835128[/C][/ROW]
[ROW][C]520[/C][C]4[/C][C]2.15721986164872[/C][C]1.84278013835128[/C][/ROW]
[ROW][C]521[/C][C]2[/C][C]2.60813901323597[/C][C]-0.608139013235969[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203011&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203011&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
186.614579826106441.38542017389356
296.614579826106472.38542017389353
388.49008288949181-0.490082889491808
458.72559389252235-3.72559389252235
5310.6659796609635-7.66597966096345
644.21601978068707-0.216019780687065
724.21601978068707-2.21601978068707
812.33082642452511-1.33082642452511
932.330826424525110.669173575474891
1062.330826424525113.66917357547489
1112.33082642452511-1.33082642452511
1254.216019780687070.78398021931293
1304.97930766743758-4.97930766743758
1412.15721986164872-1.15721986164872
155-0.2119884122408535.21198841224085
1625.33751745284981-3.33751745284981
1754.075049771760420.924950228239584
1825.66057311299494-3.66057311299494
1927.57840302310663-5.57840302310663
200-0.3908397493300970.390839749330097
2134.07504977176041-1.07504977176041
2228.48266091878379-6.48266091878379
2325.33751745284981-3.33751745284981
2424.97930766743757-2.97930766743757
2525.32348057048571-3.32348057048571
2637.57840302310663-4.57840302310663
2725.66057311299494-3.66057311299494
2804.07504977176042-4.07504977176042
2912.15721986164872-1.15721986164872
3075.040554006689951.95944599331005
3134.8617026696007-1.8617026696007
3224.8617026696007-2.8617026696007
3346.07063607860887-2.07063607860887
3425.04055400668995-3.04055400668995
3545.04055400668995-1.04055400668995
3606.00213772913775-6.00213772913775
3707.03221980105668-7.03221980105668
3826.00213772913775-4.00213772913775
3936.00213772913775-3.00213772913775
4037.03221980105668-4.03221980105668
41145.110758123461828.88924187653818
42135.110758123461817.88924187653819
4324.21601978068707-2.21601978068707
4454.662493413710550.337506586289451
4524.21601978068707-2.21601978068707
4653.767755070935811.23224492906419
4723.76775507093581-1.76775507093581
4834.21601978068707-1.21601978068707
4925.66057311299494-3.66057311299494
5025.66057311299494-3.66057311299494
5145.66057311299494-1.66057311299494
5292.157219861648726.84278013835128
5337.57840302310663-4.57840302310663
5435.66057311299494-2.66057311299494
5587.578403023106630.421596976893369
56108.482660918783791.51733908121621
5794.979307667437574.02069233256243
5865.156198624214790.843801375785211
5912.15721986164872-1.15721986164872
6035.00480079142481-2.00480079142481
6125.66057311299494-3.66057311299494
6202.15721986164872-2.15721986164872
6338.50815404277103-5.50815404277103
6425.66057311299494-3.66057311299494
6504.07504977176042-4.07504977176042
6695.004800791424813.99519920857519
6744.07504977176042-0.0750497717604156
6875.004800791424811.99519920857519
6912.15721986164872-1.15721986164872
7005.66057311299494-5.66057311299494
7125.15619862421479-3.15619862421479
7232.157219861648720.842780138351277
7314.07504977176042-3.07504977176042
74510.8173774937534-5.81737749375342
7515.9192382458189-4.9192382458189
7685.891784741519632.10821525848037
7748.72559389252235-4.72559389252235
7848.72559389252235-4.72559389252235
7986.614579826106471.38542017389353
8098.030252312234770.969747687765227
81106.002137729137753.99786227086225
823611.36132124125124.638678758749
83108.646656305120711.35334369487929
8467.75393518362767-1.75393518362767
8519.32796100304419-8.32796100304419
8626.00213772913775-4.00213772913775
8769.7872954218345-3.7872954218345
8889.32796100304419-1.32796100304419
8998.181650145024750.81834985497525
9096.614579826106472.38542017389353
9128.78401725554659-6.78401725554659
92110.6659796609634-9.66597966096345
9386.435728489017231.56427151098277
94610.6659796609634-4.66597966096345
9577.03221980105668-0.0322198010566787
96610.6659796609634-4.66597966096345
9757.75393518362767-2.75393518362767
9818.00475918824753-7.00475918824753
9937.79474130920423-4.79474130920423
10085.891784741519632.10821525848037
10136.00213772913775-3.00213772913775
102411.361321241251-7.36132124125103
103108.004759188247531.99524081175247
10476.916057070075280.0839429299247176
10556.43572848901723-1.43572848901723
106410.8173774937534-6.81737749375342
10746.61457982610647-2.61457982610647
108511.361321241251-6.36132124125102
10978.78401725554659-1.78401725554659
11026.43572848901723-4.43572848901723
11199.32796100304419-0.327961003044192
11247.79474130920423-3.79474130920423
11398.181650145024750.81834985497525
11466.8808219682667-0.880821968266702
11585.004800791424812.99519920857519
11625.15619862421479-3.15619862421479
11715.00480079142481-4.00480079142481
11832.608139013235970.391860986764031
11942.608139013235971.39186098676403
12032.608139013235970.391860986764031
12135.00480079142481-2.00480079142481
12222.78699035032521-0.786990350325213
12322.60813901323597-0.608139013235969
12442.608139013235971.39186098676403
12524.07504977176042-2.07504977176042
12632.608139013235970.391860986764031
12734.07504977176041-1.07504977176041
12835.50037152726293-2.50037152726293
12935.50037152726293-2.50037152726293
13065.040554006689950.959445993310053
13176.916057070075280.0839429299247176
13266.91605707007528-0.916057070075283
13396.88082196826672.1191780317333
13408.63261942275661-8.63261942275661
13517.15156807310583-6.15156807310583
13686.88082196826671.1191780317333
13798.632619422756610.367380577243386
138610.6659796609634-4.66597966096345
139119.78729542183451.2127045781655
14036.91605707007528-3.91605707007528
14167.15156807310582-1.15156807310582
14266.50364969355084-0.503649693550839
14386.916057070075281.08394292992472
144125.348973694472966.65102630552704
14518.50815404277103-7.50815404277103
14695.004800791424813.99519920857519
147105.040554006689954.95944599331005
14854.86170266960070.138297330399296
14938.63261942275661-5.63261942275661
15055.33751745284981-0.337517452849808
1511110.66597966096340.334020339036554
15275.004800791424811.99519920857519
15394.979307667437574.02069233256243
154215.7001423717123915.2998576282876
155125.700142371712396.29985762828761
15635.15619862421479-2.15619862421479
15754.029609271007440.970390728992561
158114.029609271007446.97039072899256
15944.02960927100744-0.029609271007439
160118.6595518755612.340448124439
161188.659551875561019.34044812443899
16268.50815404277103-2.50815404277103
16388.50815404277103-0.508154042771028
16487.578403023106630.421596976893369
165128.508154042771033.49184595722897
16658.65955187556101-3.65955187556101
16728.65955187556101-6.65955187556101
16837.57840302310663-4.57840302310663
169117.578403023106633.42159697689337
170268.5081540427710117.491845957229
17128.65955187556101-6.65955187556101
17225.32348057048571-3.32348057048571
17385.514408409627032.48559159037298
174157.578403023106647.42159697689336
175187.5784030231066310.4215969768934
176104.419222674808565.58077732519144
17728.50815404277103-6.50815404277103
17867.57840302310663-1.57840302310663
17978.65955187556101-1.65955187556101
180168.659551875561017.34044812443899
181238.65955187556114.340448124439
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187118.508154042771032.49184595722897
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207208.5081540427710311.491845957229
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209188.659551875561019.34044812443899
21038.65955187556101-5.65955187556101
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21245.32348057048571-1.32348057048571
21368.50815404277103-2.50815404277103
214117.578403023106633.42159697689337
21545.32348057048571-1.32348057048571
216248.65955187556115.340448124439
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218148.659551875561015.34044812443899
219168.659551875561017.34044812443899
22098.6595518755610.340448124438996
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22305.50037152726293-5.50037152726293
22405.50037152726293-5.50037152726293
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234105.348973694472964.65102630552704
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24513.22556476729985-2.22556476729985
24644.5347530029037-0.534753002903697
24735.50037152726293-2.50037152726293
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251168.784017255546597.21598274445341
252148.784017255546595.21598274445341
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256228.7840172555465913.2159827444534
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258178.784017255546598.21598274445341
259348.7840172555465925.2159827444534
260134.605633184488198.39436681551181
26154.605633184488190.39436681551181
26264.605633184488191.39436681551181
26314.60563318448819-3.60563318448819
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27027.57840302310663-5.57840302310663
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27404.48560245693333-4.48560245693333
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28615.15619862421479-4.15619862421479
28717.57840302310663-6.57840302310663
28831.52699016078161.4730098392184
28957.57840302310663-2.57840302310663
29077.57840302310663-0.578403023106632
29117.57840302310663-6.57840302310663
29227.57840302310663-5.57840302310663
293138.508154042771034.49184595722897
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29844.29251782027062-0.292517820270621
29902.66742522031865-2.66742522031865
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30222.66742522031864-0.667425220318644
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31012.15721986164872-1.15721986164872
31104.07504977176042-4.07504977176042
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31334.5347530029037-1.5347530029037
31424.5347530029037-2.5347530029037
31524.5347530029037-2.5347530029037
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31703.58134456125618-3.58134456125618
31805.50037152726293-5.50037152726293
31945.50037152726293-1.50037152726293
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32205.50037152726293-5.50037152726293
32315.15619862421479-4.15619862421479
32415.50037152726293-4.50037152726293
32525.50037152726293-3.50037152726293
32675.500371527262931.49962847273707
32735.50037152726293-2.50037152726293
32805.50037152726293-5.50037152726293
32924.07504977176042-2.07504977176042
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33254.419222674808560.580777325191443
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3441-0.3908397493300961.3908397493301
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36073.225564767299853.77443523270015
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36264.075049771760421.92495022823958
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36412.60813901323597-1.60813901323597
36524.60563318448819-2.60563318448819
36694.605633184488194.39436681551181
36702.60813901323597-2.60813901323597
36854.605633184488190.39436681551181
36912.60813901323597-1.60813901323597
37024.02960927100744-2.02960927100744
37114.08067605154289-3.08067605154289
37224.02960927100744-2.02960927100744
37344.02960927100744-0.029609271007439
37424.02960927100744-2.02960927100744
37584.080676051542893.91932394845711
37644.08067605154289-0.0806760515428878
377118.632619422756612.36738057724339
378128.482660918783793.51733908121621
379105.323480570485724.67651942951428
380115.323480570485725.67651942951428
38155.32348057048571-0.323480570485713
38288.18165014502475-0.181650145024749
38388.18165014502475-0.181650145024749
384108.784017255546591.21598274445341
38548.78401725554659-4.78401725554659
38634.97930766743757-1.97930766743757
387108.030252312234771.96974768776523
38898.632619422756610.367380577243386
389115.323480570485725.67651942951428
39095.323480570485713.67651942951429
39155.32348057048571-0.323480570485713
39284.979307667437573.02069233256243
393105.323480570485724.67651942951428
39457.79474130920423-2.79474130920423
39587.794741309204230.205258690795768
396108.030252312234771.96974768776523
39774.979307667437572.02069233256243
39825.15619862421479-3.15619862421479
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40025.00480079142481-3.00480079142481
40155.15619862421479-0.156198624214789
40255.15619862421479-0.156198624214789
40345.32348057048571-1.32348057048571
40425.34897369447295-3.34897369447295
40515.34897369447296-4.34897369447296
40635.32348057048571-2.32348057048571
40758.48266091878379-3.48266091878379
40828.48266091878379-6.48266091878379
40998.482660918783790.517339081216212
41024.60563318448819-2.60563318448819
41104.66249341371055-4.66249341371055
41203.74857407277302-3.74857407277302
41323.59717623998304-1.59717623998304
41403.59717623998304-3.59717623998304
41504.66249341371055-4.66249341371055
41604.66249341371055-4.66249341371055
41705.00480079142481-5.00480079142481
41805.00480079142481-5.00480079142481
41905.00480079142481-5.00480079142481
42025.34897369447295-3.34897369447295
42115.34897369447296-4.34897369447296
42215.00480079142481-4.00480079142481
42306.00213772913775-6.00213772913775
42439.32796100304419-6.32796100304419
42526.8808219682667-4.8808219682667
42646.00213772913775-2.00213772913775
427310.6659796609634-7.66597966096345
42815.04055400668995-4.04055400668995
429167.629469803642088.37053019635792
43066.45258291301539-0.45258291301539
43196.002137729137752.99786227086225
43298.632619422756610.367380577243386
43304.9338671666846-4.9338671666846
43496.88082196826672.1191780317333
43584.292517820270623.70748217972938
43605.00480079142481-5.00480079142481
43716.04431527476054-5.04431527476054
438128.725593892522353.27440610747765
439108.607126298769371.39287370123063
44074.933867166684592.06613283331541
441136.452582913015396.54741708698461
442166.452582913015399.54741708698461
44360.7495953102069555.25040468979305
44475.156198624214791.84380137578521
44554.979307667437570.0206923325624277
44698.482660918783790.517339081216212
447118.508154042771032.49184595722897
448118.030252312234772.96974768776523
449134.292517820270628.70748217972938
450137.794741309204235.20525869079577
45104.9338671666846-4.9338671666846
452126.452582913015395.54741708698461
453124.979307667437577.02069233256243
45425.00480079142481-3.00480079142481
45528.60712629876937-6.60712629876937
456126.916057070075285.08394292992472
45775.323480570485711.67651942951429
45814.07504977176042-3.07504977176042
45907.57616354855428-7.57616354855428
46065.004800791424810.995199208575187
461146.452582913015397.54741708698461
462108.607126298769371.39287370123063
463117.767972065991763.23202793400824
46442.718492000854091.28150799914591
46584.979307667437573.02069233256243
466124.979307667437577.02069233256243
46708.48266091878378-8.48266091878378
468104.292517820270625.70748217972938
469148.725593892522355.27440610747765
470126.916057070075285.08394292992472
47115.50037152726293-4.50037152726293
47207.38233393267979-7.38233393267979
47395.348973694472953.65102630552705
474120.74959531020694611.2504046897931
47598.030252312234770.969747687765227
47668.50815404277103-2.50815404277103
477126.916057070075285.08394292992472
478178.607126298769378.39287370123063
479107.794741309204232.20525869079577
480128.030252312234773.96974768776523
481196.4525829130153912.5474170869846
482124.48432633770817.5156736622919
483118.6595518755612.340448124439
48497.382333932679791.61766606732021
48555.32348057048571-0.323480570485713
486127.753935183627674.24606481637233
48756.91605707007528-1.91605707007528
48858.03025231223478-3.03025231223478
489107.382333932679782.61766606732021
49096.002137729137752.99786227086225
49198.077675512967360.922324487032636
492143.5971762399830510.402823760017
493228.5081540427710213.491845957229
494177.382333932679789.61766606732022
495138.607126298769374.39287370123063
49684.979307667437573.02069233256243
49704.97930766743757-4.97930766743757
498124.126116552295877.87388344770413
49906.00213772913775-6.00213772913775
500310.6659796609634-7.66597966096345
50148.03025231223478-4.03025231223478
502108.030252312234771.96974768776523
503108.030252312234771.96974768776523
504128.482660918783793.51733908121621
505148.030252312234785.96974768776522
506146.452582913015397.54741708698461
50755.00480079142481-0.00480079142481316
508154.5110955809205710.4889044190794
50976.916057070075280.0839429299247176
510156.88082196826678.1191780317333
511158.632619422756616.36738057724339
512114.126116552295866.87388344770414
51322.60813901323597-0.608139013235969
51412.60813901323597-1.60813901323597
51552.608139013235972.39186098676403
51652.608139013235972.39186098676403
51742.157219861648721.84278013835128
51872.157219861648724.84278013835128
51952.157219861648722.84278013835128
52042.157219861648721.84278013835128
52122.60813901323597-0.608139013235969







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
230.2418697801801430.4837395603602850.758130219819857
240.1228243350656040.2456486701312090.877175664934396
250.05566867440780540.1113373488156110.944331325592195
260.02354612931927250.04709225863854510.976453870680727
270.009475468747555450.01895093749511090.990524531252445
280.00798249342306240.01596498684612480.992017506576938
290.003181396366313380.006362792732626760.996818603633687
300.001200793642838780.002401587285677570.998799206357161
310.0004472747415311540.0008945494830623090.999552725258469
320.0001629776639275080.0003259553278550160.999837022336073
335.47161837216736e-050.0001094323674433470.999945283816278
340.000142344753887370.000284689507774740.999857655246113
355.72507626030085e-050.0001145015252060170.999942749237397
362.1124879099337e-054.22497581986741e-050.999978875120901
377.82538003330829e-061.56507600666166e-050.999992174619967
383.55293074155125e-067.1058614831025e-060.999996447069258
391.87399513835834e-063.74799027671669e-060.999998126004862
401.1934028489954e-062.3868056979908e-060.999998806597151
414.37902862390039e-078.75805724780077e-070.999999562097138
421.69501220253832e-073.39002440507664e-070.99999983049878
437.7858005628347e-081.55716011256694e-070.999999922141994
442.56362289609736e-085.12724579219472e-080.999999974363771
451.02123849771709e-082.04247699543418e-080.999999989787615
466.7517169311532e-071.35034338623064e-060.999999324828307
472.81615817269462e-075.63231634538925e-070.999999718384183
481.16557323549825e-072.33114647099651e-070.999999883442676
494.55893229866348e-089.11786459732697e-080.999999954410677
501.75447014015534e-083.50894028031068e-080.999999982455299
511.03182152734551e-082.06364305469101e-080.999999989681785
523.12497737657737e-076.24995475315474e-070.999999687502262
531.43016555264281e-072.86033110528563e-070.999999856983445
546.17527925954936e-081.23505585190987e-070.999999938247207
552.05597545821092e-074.11195091642184e-070.999999794402454
562.83300263830318e-065.66600527660637e-060.999997166997362
576.5765841502822e-061.31531683005644e-050.99999342341585
583.63670235113222e-067.27340470226443e-060.999996363297649
592.02262576904053e-064.04525153808106e-060.999997977374231
601.02141129381073e-062.04282258762147e-060.999998978588706
615.46321130539208e-071.09264226107842e-060.999999453678869
623.40715213147525e-076.81430426295049e-070.999999659284787
631.7955825693513e-073.59116513870259e-070.999999820441743
649.28222312160903e-081.85644462432181e-070.999999907177769
657.22237356559322e-081.44447471311864e-070.999999927776264
661.81342095794344e-073.62684191588689e-070.999999818657904
679.88569817477135e-081.97713963495427e-070.999999901143018
686.06375173811513e-081.21275034762303e-070.999999939362483
693.15516339027269e-086.31032678054538e-080.999999968448366
702.37402701876268e-084.74805403752536e-080.99999997625973
712.2806595918448e-084.5613191836896e-080.999999977193404
721.21897166722186e-082.43794333444373e-080.999999987810283
737.30920283286005e-091.46184056657201e-080.999999992690797
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3690.8863280434952040.2273439130095920.113671956504796
3700.8747903096127620.2504193807744750.125209690387237
3710.8628436833572230.2743126332855550.137156316642777
3720.8510510295985360.2978979408029270.148948970401464
3730.8339654280593710.3320691438812590.166034571940629
3740.8259593525445410.3480812949109180.174040647455459
3750.8225649609250380.3548700781499240.177435039074962
3760.8032078655427750.393584268914450.196792134457225
3770.7933195578866080.4133608842267850.206680442113392
3780.7784838748964280.4430322502071430.221516125103572
3790.7695929941253970.4608140117492050.230407005874603
3800.7689901712210650.4620196575578710.231009828778935
3810.7483173145850.503365370830.251682685415
3820.7242420952481430.5515158095037150.275757904751857
3830.6989354334821630.6021291330356730.301064566517836
3840.6953634402136870.6092731195726250.304636559786313
3850.6779767561042410.6440464877915180.322023243895759
3860.6584977829843730.6830044340312530.341502217015627
3870.633745232505880.732509534988240.36625476749412
3880.6103426492651090.7793147014697820.389657350734891
3890.6091455095973640.7817089808052710.390854490402636
3900.5896568251281950.8206863497436110.410343174871805
3910.5619149904940080.8761700190119850.438085009505993
3920.5391968556630950.921606288673810.460803144336905
3930.5283256833935030.9433486332129940.471674316606497
3940.5089314823904860.9821370352190280.491068517609514
3950.477921249711040.955842499422080.52207875028896
3960.4502584149744260.9005168299488520.549741585025574
3970.4227668396558940.8455336793117890.577233160344106
3980.3956269306638090.7912538613276180.604373069336191
3990.3907053982092690.7814107964185380.609294601790731
4000.3692486423695090.7384972847390190.630751357630491
4010.3517278856525070.7034557713050130.648272114347493
4020.3396451257801760.6792902515603510.660354874219824
4030.3172786289276360.6345572578552730.682721371072364
4040.3051737408351360.6103474816702720.694826259164864
4050.3073681342142770.6147362684285530.692631865785723
4060.2988224850287980.5976449700575960.701177514971202
4070.3004830942285950.600966188457190.699516905771405
4080.3665819300967570.7331638601935140.633418069903243
4090.3459445142585220.6918890285170450.654055485741478
4100.3177209056672750.635441811334550.682279094332725
4110.3082206350699320.6164412701398650.691779364930068
4120.2839552950088850.567910590017770.716044704991115
4130.2698373656091740.5396747312183490.730162634390826
4140.2820610213730970.5641220427461940.717938978626903
4150.288641068065590.5772821361311790.71135893193441
4160.3332285669805890.6664571339611770.666771433019411
4170.3272279660928410.6544559321856830.672772033907159
4180.3240908970068570.6481817940137140.675909102993143
4190.3247655453227560.6495310906455120.675234454677244
4200.3321075688975840.6642151377951680.667892431102416
4210.3730746548944030.7461493097888060.626925345105597
4220.3718185897079570.7436371794159140.628181410292043
4230.404738293173210.8094765863464190.59526170682679
4240.4028137633106850.805627526621370.597186236689315
4250.4115113406904660.8230226813809320.588488659309534
4260.398597314437120.797194628874240.60140268556288
4270.4118802006855410.8237604013710810.588119799314459
4280.3808909744213560.7617819488427120.619109025578644
4290.4044943738636250.808988747727250.595505626136375
4300.4297190837334270.8594381674668530.570280916266573
4310.3995171198923790.7990342397847570.600482880107621
4320.3646984613572870.7293969227145730.635301538642713
4330.3474701773088840.6949403546177670.652529822691116
4340.3159782530269920.6319565060539840.684021746973008
4350.2891623532119420.5783247064238840.710837646788058
4360.3132252185453180.6264504370906360.686774781454682
4370.3772807297854610.7545614595709220.622719270214539
4380.3512312173202650.7024624346405290.648768782679735
4390.3188051164149310.6376102328298630.681194883585069
4400.316278472561630.6325569451232590.68372152743837
4410.2980092072778240.5960184145556480.701990792722176
4420.301675179278130.6033503585562590.69832482072187
4430.2803792874266230.5607585748532460.719620712573377
4440.2680025961219280.5360051922438560.731997403878072
4450.2372162054764650.474432410952930.762783794523535
4460.2093946690844820.4187893381689640.790605330915518
4470.1835612792006970.3671225584013940.816438720799303
4480.1614737368759070.3229474737518130.838526263124093
4490.1633542441876660.3267084883753310.836645755812334
4500.1474570062696450.2949140125392890.852542993730355
4510.1279398192655850.2558796385311690.872060180734415
4520.1123420447252940.2246840894505880.887657955274706
4530.127679568308050.25535913661610.87232043169195
4540.125245670234450.2504913404689010.87475432976555
4550.1465178425677640.2930356851355270.853482157432236
4560.1307211367508090.2614422735016170.869278863249191
4570.1191328189658150.238265637931630.880867181034185
4580.2260888527672560.4521777055345110.773911147232744
4590.341554727034830.683109454069660.65844527296517
4600.3228989931489330.6457979862978650.677101006851067
4610.2995419985898750.599083997179750.700458001410125
4620.2606969793923840.5213939587847690.739303020607616
4630.228949340488720.4578986809774410.771050659511279
4640.2118355550299220.4236711100598430.788164444970078
4650.1826494387063190.3652988774126380.817350561293681
4660.2050978014618750.410195602923750.794902198538125
4670.3521725668004470.7043451336008930.647827433199553
4680.3310510806624750.6621021613249510.668948919337525
4690.3003790690566430.6007581381132860.699620930943357
4700.2742063802638170.5484127605276340.725793619736183
4710.2965262354520880.5930524709041760.703473764547912
4720.4074295127502670.8148590255005350.592570487249733
4730.4664834989560450.9329669979120910.533516501043955
4740.4529878664023550.9059757328047090.547012133597645
4750.397784337041380.7955686740827610.60221566295862
4760.6413746930560430.7172506138879130.358625306943957
4770.6393788017001990.7212423965996010.360621198299801
4780.7618381563170590.4763236873658830.238161843682941
4790.710283527187020.5794329456259610.28971647281298
4800.6801393949330410.6397212101339180.319860605066959
4810.6710038107686050.6579923784627910.328996189231395
4820.6145523419893350.7708953160213290.385447658010665
4830.5476448748550820.9047102502898350.452355125144918
4840.4887554830280420.9775109660560830.511244516971958
4850.6348683319137560.7302633361724880.365131668086244
4860.5886228651109070.8227542697781860.411377134889093
4870.517691031124590.964617937750820.48230896887541
4880.4920740224372420.9841480448744850.507925977562758
4890.4469726973488820.8939453946977630.553027302651118
4900.3830961440592010.7661922881184020.616903855940799
4910.3017049397714050.6034098795428110.698295060228595
4920.2555372536850550.5110745073701110.744462746314944
4930.2200935156603390.4401870313206770.779906484339661
4940.1839227882251190.3678455764502370.816077211774881
4950.1360112224169910.2720224448339830.863988777583009
4960.1340386916391880.2680773832783760.865961308360812
4970.07727491823010530.1545498364602110.922725081769895
4980.05830222653850420.1166044530770080.941697773461496

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
23 & 0.241869780180143 & 0.483739560360285 & 0.758130219819857 \tabularnewline
24 & 0.122824335065604 & 0.245648670131209 & 0.877175664934396 \tabularnewline
25 & 0.0556686744078054 & 0.111337348815611 & 0.944331325592195 \tabularnewline
26 & 0.0235461293192725 & 0.0470922586385451 & 0.976453870680727 \tabularnewline
27 & 0.00947546874755545 & 0.0189509374951109 & 0.990524531252445 \tabularnewline
28 & 0.0079824934230624 & 0.0159649868461248 & 0.992017506576938 \tabularnewline
29 & 0.00318139636631338 & 0.00636279273262676 & 0.996818603633687 \tabularnewline
30 & 0.00120079364283878 & 0.00240158728567757 & 0.998799206357161 \tabularnewline
31 & 0.000447274741531154 & 0.000894549483062309 & 0.999552725258469 \tabularnewline
32 & 0.000162977663927508 & 0.000325955327855016 & 0.999837022336073 \tabularnewline
33 & 5.47161837216736e-05 & 0.000109432367443347 & 0.999945283816278 \tabularnewline
34 & 0.00014234475388737 & 0.00028468950777474 & 0.999857655246113 \tabularnewline
35 & 5.72507626030085e-05 & 0.000114501525206017 & 0.999942749237397 \tabularnewline
36 & 2.1124879099337e-05 & 4.22497581986741e-05 & 0.999978875120901 \tabularnewline
37 & 7.82538003330829e-06 & 1.56507600666166e-05 & 0.999992174619967 \tabularnewline
38 & 3.55293074155125e-06 & 7.1058614831025e-06 & 0.999996447069258 \tabularnewline
39 & 1.87399513835834e-06 & 3.74799027671669e-06 & 0.999998126004862 \tabularnewline
40 & 1.1934028489954e-06 & 2.3868056979908e-06 & 0.999998806597151 \tabularnewline
41 & 4.37902862390039e-07 & 8.75805724780077e-07 & 0.999999562097138 \tabularnewline
42 & 1.69501220253832e-07 & 3.39002440507664e-07 & 0.99999983049878 \tabularnewline
43 & 7.7858005628347e-08 & 1.55716011256694e-07 & 0.999999922141994 \tabularnewline
44 & 2.56362289609736e-08 & 5.12724579219472e-08 & 0.999999974363771 \tabularnewline
45 & 1.02123849771709e-08 & 2.04247699543418e-08 & 0.999999989787615 \tabularnewline
46 & 6.7517169311532e-07 & 1.35034338623064e-06 & 0.999999324828307 \tabularnewline
47 & 2.81615817269462e-07 & 5.63231634538925e-07 & 0.999999718384183 \tabularnewline
48 & 1.16557323549825e-07 & 2.33114647099651e-07 & 0.999999883442676 \tabularnewline
49 & 4.55893229866348e-08 & 9.11786459732697e-08 & 0.999999954410677 \tabularnewline
50 & 1.75447014015534e-08 & 3.50894028031068e-08 & 0.999999982455299 \tabularnewline
51 & 1.03182152734551e-08 & 2.06364305469101e-08 & 0.999999989681785 \tabularnewline
52 & 3.12497737657737e-07 & 6.24995475315474e-07 & 0.999999687502262 \tabularnewline
53 & 1.43016555264281e-07 & 2.86033110528563e-07 & 0.999999856983445 \tabularnewline
54 & 6.17527925954936e-08 & 1.23505585190987e-07 & 0.999999938247207 \tabularnewline
55 & 2.05597545821092e-07 & 4.11195091642184e-07 & 0.999999794402454 \tabularnewline
56 & 2.83300263830318e-06 & 5.66600527660637e-06 & 0.999997166997362 \tabularnewline
57 & 6.5765841502822e-06 & 1.31531683005644e-05 & 0.99999342341585 \tabularnewline
58 & 3.63670235113222e-06 & 7.27340470226443e-06 & 0.999996363297649 \tabularnewline
59 & 2.02262576904053e-06 & 4.04525153808106e-06 & 0.999997977374231 \tabularnewline
60 & 1.02141129381073e-06 & 2.04282258762147e-06 & 0.999998978588706 \tabularnewline
61 & 5.46321130539208e-07 & 1.09264226107842e-06 & 0.999999453678869 \tabularnewline
62 & 3.40715213147525e-07 & 6.81430426295049e-07 & 0.999999659284787 \tabularnewline
63 & 1.7955825693513e-07 & 3.59116513870259e-07 & 0.999999820441743 \tabularnewline
64 & 9.28222312160903e-08 & 1.85644462432181e-07 & 0.999999907177769 \tabularnewline
65 & 7.22237356559322e-08 & 1.44447471311864e-07 & 0.999999927776264 \tabularnewline
66 & 1.81342095794344e-07 & 3.62684191588689e-07 & 0.999999818657904 \tabularnewline
67 & 9.88569817477135e-08 & 1.97713963495427e-07 & 0.999999901143018 \tabularnewline
68 & 6.06375173811513e-08 & 1.21275034762303e-07 & 0.999999939362483 \tabularnewline
69 & 3.15516339027269e-08 & 6.31032678054538e-08 & 0.999999968448366 \tabularnewline
70 & 2.37402701876268e-08 & 4.74805403752536e-08 & 0.99999997625973 \tabularnewline
71 & 2.2806595918448e-08 & 4.5613191836896e-08 & 0.999999977193404 \tabularnewline
72 & 1.21897166722186e-08 & 2.43794333444373e-08 & 0.999999987810283 \tabularnewline
73 & 7.30920283286005e-09 & 1.46184056657201e-08 & 0.999999992690797 \tabularnewline
74 & 4.52064963298059e-09 & 9.04129926596119e-09 & 0.99999999547935 \tabularnewline
75 & 3.20302108056219e-09 & 6.40604216112439e-09 & 0.999999996796979 \tabularnewline
76 & 8.96271494569379e-09 & 1.79254298913876e-08 & 0.999999991037285 \tabularnewline
77 & 4.80098291031723e-09 & 9.60196582063447e-09 & 0.999999995199017 \tabularnewline
78 & 2.5265422580687e-09 & 5.05308451613741e-09 & 0.999999997473458 \tabularnewline
79 & 1.24089387370761e-09 & 2.48178774741521e-09 & 0.999999998759106 \tabularnewline
80 & 5.48697950629613e-09 & 1.09739590125923e-08 & 0.99999999451302 \tabularnewline
81 & 5.97811871637992e-08 & 1.19562374327598e-07 & 0.999999940218813 \tabularnewline
82 & 0.0151659071805973 & 0.0303318143611947 & 0.984834092819403 \tabularnewline
83 & 0.0249628945273729 & 0.0499257890547457 & 0.975037105472627 \tabularnewline
84 & 0.0206922987627769 & 0.0413845975255537 & 0.979307701237223 \tabularnewline
85 & 0.0295557429712488 & 0.0591114859424976 & 0.970444257028751 \tabularnewline
86 & 0.0247782706184836 & 0.0495565412369673 & 0.975221729381516 \tabularnewline
87 & 0.0313039965321545 & 0.062607993064309 & 0.968696003467845 \tabularnewline
88 & 0.0253887800516174 & 0.0507775601032347 & 0.974611219948383 \tabularnewline
89 & 0.0319531022818883 & 0.0639062045637765 & 0.968046897718112 \tabularnewline
90 & 0.0259277719408823 & 0.0518555438817647 & 0.974072228059118 \tabularnewline
91 & 0.0219592225781429 & 0.0439184451562858 & 0.978040777421857 \tabularnewline
92 & 0.0398346653186034 & 0.0796693306372068 & 0.960165334681397 \tabularnewline
93 & 0.0325411211478781 & 0.0650822422957562 & 0.967458878852122 \tabularnewline
94 & 0.0282034582988383 & 0.0564069165976767 & 0.971796541701162 \tabularnewline
95 & 0.0260348635043429 & 0.0520697270086857 & 0.973965136495657 \tabularnewline
96 & 0.0222603935047856 & 0.0445207870095713 & 0.977739606495214 \tabularnewline
97 & 0.0194598808698223 & 0.0389197617396447 & 0.980540119130178 \tabularnewline
98 & 0.0169604844727556 & 0.0339209689455112 & 0.983039515527244 \tabularnewline
99 & 0.014030051784677 & 0.028060103569354 & 0.985969948215323 \tabularnewline
100 & 0.0126805274118152 & 0.0253610548236304 & 0.987319472588185 \tabularnewline
101 & 0.0103237090917394 & 0.0206474181834788 & 0.989676290908261 \tabularnewline
102 & 0.0196219175353546 & 0.0392438350707092 & 0.980378082464645 \tabularnewline
103 & 0.0265132808509521 & 0.0530265617019042 & 0.973486719149048 \tabularnewline
104 & 0.0216426402252851 & 0.0432852804505702 & 0.978357359774715 \tabularnewline
105 & 0.0188006401810012 & 0.0376012803620024 & 0.981199359818999 \tabularnewline
106 & 0.0198193302277724 & 0.0396386604555448 & 0.980180669772228 \tabularnewline
107 & 0.0184386878247407 & 0.0368773756494814 & 0.981561312175259 \tabularnewline
108 & 0.0210189607813906 & 0.0420379215627811 & 0.978981039218609 \tabularnewline
109 & 0.0187272902432211 & 0.0374545804864422 & 0.981272709756779 \tabularnewline
110 & 0.0194106442795386 & 0.0388212885590772 & 0.980589355720461 \tabularnewline
111 & 0.0168140937611144 & 0.0336281875222288 & 0.983185906238886 \tabularnewline
112 & 0.0142308688100221 & 0.0284617376200441 & 0.985769131189978 \tabularnewline
113 & 0.0122036782234105 & 0.024407356446821 & 0.987796321776589 \tabularnewline
114 & 0.0112090360058999 & 0.0224180720117997 & 0.9887909639941 \tabularnewline
115 & 0.0100560879736092 & 0.0201121759472184 & 0.989943912026391 \tabularnewline
116 & 0.00949633023287046 & 0.0189926604657409 & 0.99050366976713 \tabularnewline
117 & 0.00870889395356383 & 0.0174177879071277 & 0.991291106046436 \tabularnewline
118 & 0.00704263308182036 & 0.0140852661636407 & 0.99295736691818 \tabularnewline
119 & 0.00558261787387122 & 0.0111652357477424 & 0.994417382126129 \tabularnewline
120 & 0.00443427740993037 & 0.00886855481986074 & 0.99556572259007 \tabularnewline
121 & 0.00353315898819155 & 0.0070663179763831 & 0.996466841011808 \tabularnewline
122 & 0.00297031303428754 & 0.00594062606857507 & 0.997029686965712 \tabularnewline
123 & 0.00235988713486742 & 0.00471977426973484 & 0.997640112865133 \tabularnewline
124 & 0.00183328305465912 & 0.00366656610931825 & 0.998166716945341 \tabularnewline
125 & 0.00142766025326717 & 0.00285532050653435 & 0.998572339746733 \tabularnewline
126 & 0.0010917338606821 & 0.0021834677213642 & 0.998908266139318 \tabularnewline
127 & 0.000832903363435287 & 0.00166580672687057 & 0.999167096636565 \tabularnewline
128 & 0.000638570781778728 & 0.00127714156355746 & 0.999361429218221 \tabularnewline
129 & 0.000486094062462247 & 0.000972188124924495 & 0.999513905937538 \tabularnewline
130 & 0.000373914949776722 & 0.000747829899553444 & 0.999626085050223 \tabularnewline
131 & 0.000279421004469717 & 0.000558842008939434 & 0.99972057899553 \tabularnewline
132 & 0.000210025346281883 & 0.000420050692563766 & 0.999789974653718 \tabularnewline
133 & 0.000235625763176749 & 0.000471251526353497 & 0.999764374236823 \tabularnewline
134 & 0.000262055884345628 & 0.000524111768691257 & 0.999737944115654 \tabularnewline
135 & 0.000272041693902603 & 0.000544083387805206 & 0.999727958306097 \tabularnewline
136 & 0.000246198885680043 & 0.000492397771360086 & 0.99975380111432 \tabularnewline
137 & 0.000259424293353455 & 0.00051884858670691 & 0.999740575706647 \tabularnewline
138 & 0.000222155111546265 & 0.000444310223092531 & 0.999777844888454 \tabularnewline
139 & 0.000220624900282525 & 0.000441249800565049 & 0.999779375099717 \tabularnewline
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358 & 0.951774251671486 & 0.0964514966570287 & 0.0482257483285143 \tabularnewline
359 & 0.953195877903179 & 0.0936082441936417 & 0.0468041220968208 \tabularnewline
360 & 0.946999685741653 & 0.106000628516694 & 0.053000314258347 \tabularnewline
361 & 0.944457493771428 & 0.111085012457144 & 0.0555425062285721 \tabularnewline
362 & 0.937021954689474 & 0.125956090621051 & 0.0629780453105256 \tabularnewline
363 & 0.933180774862323 & 0.133638450275354 & 0.066819225137677 \tabularnewline
364 & 0.924150405321813 & 0.151699189356373 & 0.0758495946781865 \tabularnewline
365 & 0.916902623064263 & 0.166194753871473 & 0.0830973769357366 \tabularnewline
366 & 0.916705619486534 & 0.166588761026933 & 0.0832943805134663 \tabularnewline
367 & 0.90847744896952 & 0.18304510206096 & 0.0915225510304799 \tabularnewline
368 & 0.897984764521497 & 0.204030470957006 & 0.102015235478503 \tabularnewline
369 & 0.886328043495204 & 0.227343913009592 & 0.113671956504796 \tabularnewline
370 & 0.874790309612762 & 0.250419380774475 & 0.125209690387237 \tabularnewline
371 & 0.862843683357223 & 0.274312633285555 & 0.137156316642777 \tabularnewline
372 & 0.851051029598536 & 0.297897940802927 & 0.148948970401464 \tabularnewline
373 & 0.833965428059371 & 0.332069143881259 & 0.166034571940629 \tabularnewline
374 & 0.825959352544541 & 0.348081294910918 & 0.174040647455459 \tabularnewline
375 & 0.822564960925038 & 0.354870078149924 & 0.177435039074962 \tabularnewline
376 & 0.803207865542775 & 0.39358426891445 & 0.196792134457225 \tabularnewline
377 & 0.793319557886608 & 0.413360884226785 & 0.206680442113392 \tabularnewline
378 & 0.778483874896428 & 0.443032250207143 & 0.221516125103572 \tabularnewline
379 & 0.769592994125397 & 0.460814011749205 & 0.230407005874603 \tabularnewline
380 & 0.768990171221065 & 0.462019657557871 & 0.231009828778935 \tabularnewline
381 & 0.748317314585 & 0.50336537083 & 0.251682685415 \tabularnewline
382 & 0.724242095248143 & 0.551515809503715 & 0.275757904751857 \tabularnewline
383 & 0.698935433482163 & 0.602129133035673 & 0.301064566517836 \tabularnewline
384 & 0.695363440213687 & 0.609273119572625 & 0.304636559786313 \tabularnewline
385 & 0.677976756104241 & 0.644046487791518 & 0.322023243895759 \tabularnewline
386 & 0.658497782984373 & 0.683004434031253 & 0.341502217015627 \tabularnewline
387 & 0.63374523250588 & 0.73250953498824 & 0.36625476749412 \tabularnewline
388 & 0.610342649265109 & 0.779314701469782 & 0.389657350734891 \tabularnewline
389 & 0.609145509597364 & 0.781708980805271 & 0.390854490402636 \tabularnewline
390 & 0.589656825128195 & 0.820686349743611 & 0.410343174871805 \tabularnewline
391 & 0.561914990494008 & 0.876170019011985 & 0.438085009505993 \tabularnewline
392 & 0.539196855663095 & 0.92160628867381 & 0.460803144336905 \tabularnewline
393 & 0.528325683393503 & 0.943348633212994 & 0.471674316606497 \tabularnewline
394 & 0.508931482390486 & 0.982137035219028 & 0.491068517609514 \tabularnewline
395 & 0.47792124971104 & 0.95584249942208 & 0.52207875028896 \tabularnewline
396 & 0.450258414974426 & 0.900516829948852 & 0.549741585025574 \tabularnewline
397 & 0.422766839655894 & 0.845533679311789 & 0.577233160344106 \tabularnewline
398 & 0.395626930663809 & 0.791253861327618 & 0.604373069336191 \tabularnewline
399 & 0.390705398209269 & 0.781410796418538 & 0.609294601790731 \tabularnewline
400 & 0.369248642369509 & 0.738497284739019 & 0.630751357630491 \tabularnewline
401 & 0.351727885652507 & 0.703455771305013 & 0.648272114347493 \tabularnewline
402 & 0.339645125780176 & 0.679290251560351 & 0.660354874219824 \tabularnewline
403 & 0.317278628927636 & 0.634557257855273 & 0.682721371072364 \tabularnewline
404 & 0.305173740835136 & 0.610347481670272 & 0.694826259164864 \tabularnewline
405 & 0.307368134214277 & 0.614736268428553 & 0.692631865785723 \tabularnewline
406 & 0.298822485028798 & 0.597644970057596 & 0.701177514971202 \tabularnewline
407 & 0.300483094228595 & 0.60096618845719 & 0.699516905771405 \tabularnewline
408 & 0.366581930096757 & 0.733163860193514 & 0.633418069903243 \tabularnewline
409 & 0.345944514258522 & 0.691889028517045 & 0.654055485741478 \tabularnewline
410 & 0.317720905667275 & 0.63544181133455 & 0.682279094332725 \tabularnewline
411 & 0.308220635069932 & 0.616441270139865 & 0.691779364930068 \tabularnewline
412 & 0.283955295008885 & 0.56791059001777 & 0.716044704991115 \tabularnewline
413 & 0.269837365609174 & 0.539674731218349 & 0.730162634390826 \tabularnewline
414 & 0.282061021373097 & 0.564122042746194 & 0.717938978626903 \tabularnewline
415 & 0.28864106806559 & 0.577282136131179 & 0.71135893193441 \tabularnewline
416 & 0.333228566980589 & 0.666457133961177 & 0.666771433019411 \tabularnewline
417 & 0.327227966092841 & 0.654455932185683 & 0.672772033907159 \tabularnewline
418 & 0.324090897006857 & 0.648181794013714 & 0.675909102993143 \tabularnewline
419 & 0.324765545322756 & 0.649531090645512 & 0.675234454677244 \tabularnewline
420 & 0.332107568897584 & 0.664215137795168 & 0.667892431102416 \tabularnewline
421 & 0.373074654894403 & 0.746149309788806 & 0.626925345105597 \tabularnewline
422 & 0.371818589707957 & 0.743637179415914 & 0.628181410292043 \tabularnewline
423 & 0.40473829317321 & 0.809476586346419 & 0.59526170682679 \tabularnewline
424 & 0.402813763310685 & 0.80562752662137 & 0.597186236689315 \tabularnewline
425 & 0.411511340690466 & 0.823022681380932 & 0.588488659309534 \tabularnewline
426 & 0.39859731443712 & 0.79719462887424 & 0.60140268556288 \tabularnewline
427 & 0.411880200685541 & 0.823760401371081 & 0.588119799314459 \tabularnewline
428 & 0.380890974421356 & 0.761781948842712 & 0.619109025578644 \tabularnewline
429 & 0.404494373863625 & 0.80898874772725 & 0.595505626136375 \tabularnewline
430 & 0.429719083733427 & 0.859438167466853 & 0.570280916266573 \tabularnewline
431 & 0.399517119892379 & 0.799034239784757 & 0.600482880107621 \tabularnewline
432 & 0.364698461357287 & 0.729396922714573 & 0.635301538642713 \tabularnewline
433 & 0.347470177308884 & 0.694940354617767 & 0.652529822691116 \tabularnewline
434 & 0.315978253026992 & 0.631956506053984 & 0.684021746973008 \tabularnewline
435 & 0.289162353211942 & 0.578324706423884 & 0.710837646788058 \tabularnewline
436 & 0.313225218545318 & 0.626450437090636 & 0.686774781454682 \tabularnewline
437 & 0.377280729785461 & 0.754561459570922 & 0.622719270214539 \tabularnewline
438 & 0.351231217320265 & 0.702462434640529 & 0.648768782679735 \tabularnewline
439 & 0.318805116414931 & 0.637610232829863 & 0.681194883585069 \tabularnewline
440 & 0.31627847256163 & 0.632556945123259 & 0.68372152743837 \tabularnewline
441 & 0.298009207277824 & 0.596018414555648 & 0.701990792722176 \tabularnewline
442 & 0.30167517927813 & 0.603350358556259 & 0.69832482072187 \tabularnewline
443 & 0.280379287426623 & 0.560758574853246 & 0.719620712573377 \tabularnewline
444 & 0.268002596121928 & 0.536005192243856 & 0.731997403878072 \tabularnewline
445 & 0.237216205476465 & 0.47443241095293 & 0.762783794523535 \tabularnewline
446 & 0.209394669084482 & 0.418789338168964 & 0.790605330915518 \tabularnewline
447 & 0.183561279200697 & 0.367122558401394 & 0.816438720799303 \tabularnewline
448 & 0.161473736875907 & 0.322947473751813 & 0.838526263124093 \tabularnewline
449 & 0.163354244187666 & 0.326708488375331 & 0.836645755812334 \tabularnewline
450 & 0.147457006269645 & 0.294914012539289 & 0.852542993730355 \tabularnewline
451 & 0.127939819265585 & 0.255879638531169 & 0.872060180734415 \tabularnewline
452 & 0.112342044725294 & 0.224684089450588 & 0.887657955274706 \tabularnewline
453 & 0.12767956830805 & 0.2553591366161 & 0.87232043169195 \tabularnewline
454 & 0.12524567023445 & 0.250491340468901 & 0.87475432976555 \tabularnewline
455 & 0.146517842567764 & 0.293035685135527 & 0.853482157432236 \tabularnewline
456 & 0.130721136750809 & 0.261442273501617 & 0.869278863249191 \tabularnewline
457 & 0.119132818965815 & 0.23826563793163 & 0.880867181034185 \tabularnewline
458 & 0.226088852767256 & 0.452177705534511 & 0.773911147232744 \tabularnewline
459 & 0.34155472703483 & 0.68310945406966 & 0.65844527296517 \tabularnewline
460 & 0.322898993148933 & 0.645797986297865 & 0.677101006851067 \tabularnewline
461 & 0.299541998589875 & 0.59908399717975 & 0.700458001410125 \tabularnewline
462 & 0.260696979392384 & 0.521393958784769 & 0.739303020607616 \tabularnewline
463 & 0.22894934048872 & 0.457898680977441 & 0.771050659511279 \tabularnewline
464 & 0.211835555029922 & 0.423671110059843 & 0.788164444970078 \tabularnewline
465 & 0.182649438706319 & 0.365298877412638 & 0.817350561293681 \tabularnewline
466 & 0.205097801461875 & 0.41019560292375 & 0.794902198538125 \tabularnewline
467 & 0.352172566800447 & 0.704345133600893 & 0.647827433199553 \tabularnewline
468 & 0.331051080662475 & 0.662102161324951 & 0.668948919337525 \tabularnewline
469 & 0.300379069056643 & 0.600758138113286 & 0.699620930943357 \tabularnewline
470 & 0.274206380263817 & 0.548412760527634 & 0.725793619736183 \tabularnewline
471 & 0.296526235452088 & 0.593052470904176 & 0.703473764547912 \tabularnewline
472 & 0.407429512750267 & 0.814859025500535 & 0.592570487249733 \tabularnewline
473 & 0.466483498956045 & 0.932966997912091 & 0.533516501043955 \tabularnewline
474 & 0.452987866402355 & 0.905975732804709 & 0.547012133597645 \tabularnewline
475 & 0.39778433704138 & 0.795568674082761 & 0.60221566295862 \tabularnewline
476 & 0.641374693056043 & 0.717250613887913 & 0.358625306943957 \tabularnewline
477 & 0.639378801700199 & 0.721242396599601 & 0.360621198299801 \tabularnewline
478 & 0.761838156317059 & 0.476323687365883 & 0.238161843682941 \tabularnewline
479 & 0.71028352718702 & 0.579432945625961 & 0.28971647281298 \tabularnewline
480 & 0.680139394933041 & 0.639721210133918 & 0.319860605066959 \tabularnewline
481 & 0.671003810768605 & 0.657992378462791 & 0.328996189231395 \tabularnewline
482 & 0.614552341989335 & 0.770895316021329 & 0.385447658010665 \tabularnewline
483 & 0.547644874855082 & 0.904710250289835 & 0.452355125144918 \tabularnewline
484 & 0.488755483028042 & 0.977510966056083 & 0.511244516971958 \tabularnewline
485 & 0.634868331913756 & 0.730263336172488 & 0.365131668086244 \tabularnewline
486 & 0.588622865110907 & 0.822754269778186 & 0.411377134889093 \tabularnewline
487 & 0.51769103112459 & 0.96461793775082 & 0.48230896887541 \tabularnewline
488 & 0.492074022437242 & 0.984148044874485 & 0.507925977562758 \tabularnewline
489 & 0.446972697348882 & 0.893945394697763 & 0.553027302651118 \tabularnewline
490 & 0.383096144059201 & 0.766192288118402 & 0.616903855940799 \tabularnewline
491 & 0.301704939771405 & 0.603409879542811 & 0.698295060228595 \tabularnewline
492 & 0.255537253685055 & 0.511074507370111 & 0.744462746314944 \tabularnewline
493 & 0.220093515660339 & 0.440187031320677 & 0.779906484339661 \tabularnewline
494 & 0.183922788225119 & 0.367845576450237 & 0.816077211774881 \tabularnewline
495 & 0.136011222416991 & 0.272022444833983 & 0.863988777583009 \tabularnewline
496 & 0.134038691639188 & 0.268077383278376 & 0.865961308360812 \tabularnewline
497 & 0.0772749182301053 & 0.154549836460211 & 0.922725081769895 \tabularnewline
498 & 0.0583022265385042 & 0.116604453077008 & 0.941697773461496 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203011&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]23[/C][C]0.241869780180143[/C][C]0.483739560360285[/C][C]0.758130219819857[/C][/ROW]
[ROW][C]24[/C][C]0.122824335065604[/C][C]0.245648670131209[/C][C]0.877175664934396[/C][/ROW]
[ROW][C]25[/C][C]0.0556686744078054[/C][C]0.111337348815611[/C][C]0.944331325592195[/C][/ROW]
[ROW][C]26[/C][C]0.0235461293192725[/C][C]0.0470922586385451[/C][C]0.976453870680727[/C][/ROW]
[ROW][C]27[/C][C]0.00947546874755545[/C][C]0.0189509374951109[/C][C]0.990524531252445[/C][/ROW]
[ROW][C]28[/C][C]0.0079824934230624[/C][C]0.0159649868461248[/C][C]0.992017506576938[/C][/ROW]
[ROW][C]29[/C][C]0.00318139636631338[/C][C]0.00636279273262676[/C][C]0.996818603633687[/C][/ROW]
[ROW][C]30[/C][C]0.00120079364283878[/C][C]0.00240158728567757[/C][C]0.998799206357161[/C][/ROW]
[ROW][C]31[/C][C]0.000447274741531154[/C][C]0.000894549483062309[/C][C]0.999552725258469[/C][/ROW]
[ROW][C]32[/C][C]0.000162977663927508[/C][C]0.000325955327855016[/C][C]0.999837022336073[/C][/ROW]
[ROW][C]33[/C][C]5.47161837216736e-05[/C][C]0.000109432367443347[/C][C]0.999945283816278[/C][/ROW]
[ROW][C]34[/C][C]0.00014234475388737[/C][C]0.00028468950777474[/C][C]0.999857655246113[/C][/ROW]
[ROW][C]35[/C][C]5.72507626030085e-05[/C][C]0.000114501525206017[/C][C]0.999942749237397[/C][/ROW]
[ROW][C]36[/C][C]2.1124879099337e-05[/C][C]4.22497581986741e-05[/C][C]0.999978875120901[/C][/ROW]
[ROW][C]37[/C][C]7.82538003330829e-06[/C][C]1.56507600666166e-05[/C][C]0.999992174619967[/C][/ROW]
[ROW][C]38[/C][C]3.55293074155125e-06[/C][C]7.1058614831025e-06[/C][C]0.999996447069258[/C][/ROW]
[ROW][C]39[/C][C]1.87399513835834e-06[/C][C]3.74799027671669e-06[/C][C]0.999998126004862[/C][/ROW]
[ROW][C]40[/C][C]1.1934028489954e-06[/C][C]2.3868056979908e-06[/C][C]0.999998806597151[/C][/ROW]
[ROW][C]41[/C][C]4.37902862390039e-07[/C][C]8.75805724780077e-07[/C][C]0.999999562097138[/C][/ROW]
[ROW][C]42[/C][C]1.69501220253832e-07[/C][C]3.39002440507664e-07[/C][C]0.99999983049878[/C][/ROW]
[ROW][C]43[/C][C]7.7858005628347e-08[/C][C]1.55716011256694e-07[/C][C]0.999999922141994[/C][/ROW]
[ROW][C]44[/C][C]2.56362289609736e-08[/C][C]5.12724579219472e-08[/C][C]0.999999974363771[/C][/ROW]
[ROW][C]45[/C][C]1.02123849771709e-08[/C][C]2.04247699543418e-08[/C][C]0.999999989787615[/C][/ROW]
[ROW][C]46[/C][C]6.7517169311532e-07[/C][C]1.35034338623064e-06[/C][C]0.999999324828307[/C][/ROW]
[ROW][C]47[/C][C]2.81615817269462e-07[/C][C]5.63231634538925e-07[/C][C]0.999999718384183[/C][/ROW]
[ROW][C]48[/C][C]1.16557323549825e-07[/C][C]2.33114647099651e-07[/C][C]0.999999883442676[/C][/ROW]
[ROW][C]49[/C][C]4.55893229866348e-08[/C][C]9.11786459732697e-08[/C][C]0.999999954410677[/C][/ROW]
[ROW][C]50[/C][C]1.75447014015534e-08[/C][C]3.50894028031068e-08[/C][C]0.999999982455299[/C][/ROW]
[ROW][C]51[/C][C]1.03182152734551e-08[/C][C]2.06364305469101e-08[/C][C]0.999999989681785[/C][/ROW]
[ROW][C]52[/C][C]3.12497737657737e-07[/C][C]6.24995475315474e-07[/C][C]0.999999687502262[/C][/ROW]
[ROW][C]53[/C][C]1.43016555264281e-07[/C][C]2.86033110528563e-07[/C][C]0.999999856983445[/C][/ROW]
[ROW][C]54[/C][C]6.17527925954936e-08[/C][C]1.23505585190987e-07[/C][C]0.999999938247207[/C][/ROW]
[ROW][C]55[/C][C]2.05597545821092e-07[/C][C]4.11195091642184e-07[/C][C]0.999999794402454[/C][/ROW]
[ROW][C]56[/C][C]2.83300263830318e-06[/C][C]5.66600527660637e-06[/C][C]0.999997166997362[/C][/ROW]
[ROW][C]57[/C][C]6.5765841502822e-06[/C][C]1.31531683005644e-05[/C][C]0.99999342341585[/C][/ROW]
[ROW][C]58[/C][C]3.63670235113222e-06[/C][C]7.27340470226443e-06[/C][C]0.999996363297649[/C][/ROW]
[ROW][C]59[/C][C]2.02262576904053e-06[/C][C]4.04525153808106e-06[/C][C]0.999997977374231[/C][/ROW]
[ROW][C]60[/C][C]1.02141129381073e-06[/C][C]2.04282258762147e-06[/C][C]0.999998978588706[/C][/ROW]
[ROW][C]61[/C][C]5.46321130539208e-07[/C][C]1.09264226107842e-06[/C][C]0.999999453678869[/C][/ROW]
[ROW][C]62[/C][C]3.40715213147525e-07[/C][C]6.81430426295049e-07[/C][C]0.999999659284787[/C][/ROW]
[ROW][C]63[/C][C]1.7955825693513e-07[/C][C]3.59116513870259e-07[/C][C]0.999999820441743[/C][/ROW]
[ROW][C]64[/C][C]9.28222312160903e-08[/C][C]1.85644462432181e-07[/C][C]0.999999907177769[/C][/ROW]
[ROW][C]65[/C][C]7.22237356559322e-08[/C][C]1.44447471311864e-07[/C][C]0.999999927776264[/C][/ROW]
[ROW][C]66[/C][C]1.81342095794344e-07[/C][C]3.62684191588689e-07[/C][C]0.999999818657904[/C][/ROW]
[ROW][C]67[/C][C]9.88569817477135e-08[/C][C]1.97713963495427e-07[/C][C]0.999999901143018[/C][/ROW]
[ROW][C]68[/C][C]6.06375173811513e-08[/C][C]1.21275034762303e-07[/C][C]0.999999939362483[/C][/ROW]
[ROW][C]69[/C][C]3.15516339027269e-08[/C][C]6.31032678054538e-08[/C][C]0.999999968448366[/C][/ROW]
[ROW][C]70[/C][C]2.37402701876268e-08[/C][C]4.74805403752536e-08[/C][C]0.99999997625973[/C][/ROW]
[ROW][C]71[/C][C]2.2806595918448e-08[/C][C]4.5613191836896e-08[/C][C]0.999999977193404[/C][/ROW]
[ROW][C]72[/C][C]1.21897166722186e-08[/C][C]2.43794333444373e-08[/C][C]0.999999987810283[/C][/ROW]
[ROW][C]73[/C][C]7.30920283286005e-09[/C][C]1.46184056657201e-08[/C][C]0.999999992690797[/C][/ROW]
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[ROW][C]75[/C][C]3.20302108056219e-09[/C][C]6.40604216112439e-09[/C][C]0.999999996796979[/C][/ROW]
[ROW][C]76[/C][C]8.96271494569379e-09[/C][C]1.79254298913876e-08[/C][C]0.999999991037285[/C][/ROW]
[ROW][C]77[/C][C]4.80098291031723e-09[/C][C]9.60196582063447e-09[/C][C]0.999999995199017[/C][/ROW]
[ROW][C]78[/C][C]2.5265422580687e-09[/C][C]5.05308451613741e-09[/C][C]0.999999997473458[/C][/ROW]
[ROW][C]79[/C][C]1.24089387370761e-09[/C][C]2.48178774741521e-09[/C][C]0.999999998759106[/C][/ROW]
[ROW][C]80[/C][C]5.48697950629613e-09[/C][C]1.09739590125923e-08[/C][C]0.99999999451302[/C][/ROW]
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[ROW][C]365[/C][C]0.916902623064263[/C][C]0.166194753871473[/C][C]0.0830973769357366[/C][/ROW]
[ROW][C]366[/C][C]0.916705619486534[/C][C]0.166588761026933[/C][C]0.0832943805134663[/C][/ROW]
[ROW][C]367[/C][C]0.90847744896952[/C][C]0.18304510206096[/C][C]0.0915225510304799[/C][/ROW]
[ROW][C]368[/C][C]0.897984764521497[/C][C]0.204030470957006[/C][C]0.102015235478503[/C][/ROW]
[ROW][C]369[/C][C]0.886328043495204[/C][C]0.227343913009592[/C][C]0.113671956504796[/C][/ROW]
[ROW][C]370[/C][C]0.874790309612762[/C][C]0.250419380774475[/C][C]0.125209690387237[/C][/ROW]
[ROW][C]371[/C][C]0.862843683357223[/C][C]0.274312633285555[/C][C]0.137156316642777[/C][/ROW]
[ROW][C]372[/C][C]0.851051029598536[/C][C]0.297897940802927[/C][C]0.148948970401464[/C][/ROW]
[ROW][C]373[/C][C]0.833965428059371[/C][C]0.332069143881259[/C][C]0.166034571940629[/C][/ROW]
[ROW][C]374[/C][C]0.825959352544541[/C][C]0.348081294910918[/C][C]0.174040647455459[/C][/ROW]
[ROW][C]375[/C][C]0.822564960925038[/C][C]0.354870078149924[/C][C]0.177435039074962[/C][/ROW]
[ROW][C]376[/C][C]0.803207865542775[/C][C]0.39358426891445[/C][C]0.196792134457225[/C][/ROW]
[ROW][C]377[/C][C]0.793319557886608[/C][C]0.413360884226785[/C][C]0.206680442113392[/C][/ROW]
[ROW][C]378[/C][C]0.778483874896428[/C][C]0.443032250207143[/C][C]0.221516125103572[/C][/ROW]
[ROW][C]379[/C][C]0.769592994125397[/C][C]0.460814011749205[/C][C]0.230407005874603[/C][/ROW]
[ROW][C]380[/C][C]0.768990171221065[/C][C]0.462019657557871[/C][C]0.231009828778935[/C][/ROW]
[ROW][C]381[/C][C]0.748317314585[/C][C]0.50336537083[/C][C]0.251682685415[/C][/ROW]
[ROW][C]382[/C][C]0.724242095248143[/C][C]0.551515809503715[/C][C]0.275757904751857[/C][/ROW]
[ROW][C]383[/C][C]0.698935433482163[/C][C]0.602129133035673[/C][C]0.301064566517836[/C][/ROW]
[ROW][C]384[/C][C]0.695363440213687[/C][C]0.609273119572625[/C][C]0.304636559786313[/C][/ROW]
[ROW][C]385[/C][C]0.677976756104241[/C][C]0.644046487791518[/C][C]0.322023243895759[/C][/ROW]
[ROW][C]386[/C][C]0.658497782984373[/C][C]0.683004434031253[/C][C]0.341502217015627[/C][/ROW]
[ROW][C]387[/C][C]0.63374523250588[/C][C]0.73250953498824[/C][C]0.36625476749412[/C][/ROW]
[ROW][C]388[/C][C]0.610342649265109[/C][C]0.779314701469782[/C][C]0.389657350734891[/C][/ROW]
[ROW][C]389[/C][C]0.609145509597364[/C][C]0.781708980805271[/C][C]0.390854490402636[/C][/ROW]
[ROW][C]390[/C][C]0.589656825128195[/C][C]0.820686349743611[/C][C]0.410343174871805[/C][/ROW]
[ROW][C]391[/C][C]0.561914990494008[/C][C]0.876170019011985[/C][C]0.438085009505993[/C][/ROW]
[ROW][C]392[/C][C]0.539196855663095[/C][C]0.92160628867381[/C][C]0.460803144336905[/C][/ROW]
[ROW][C]393[/C][C]0.528325683393503[/C][C]0.943348633212994[/C][C]0.471674316606497[/C][/ROW]
[ROW][C]394[/C][C]0.508931482390486[/C][C]0.982137035219028[/C][C]0.491068517609514[/C][/ROW]
[ROW][C]395[/C][C]0.47792124971104[/C][C]0.95584249942208[/C][C]0.52207875028896[/C][/ROW]
[ROW][C]396[/C][C]0.450258414974426[/C][C]0.900516829948852[/C][C]0.549741585025574[/C][/ROW]
[ROW][C]397[/C][C]0.422766839655894[/C][C]0.845533679311789[/C][C]0.577233160344106[/C][/ROW]
[ROW][C]398[/C][C]0.395626930663809[/C][C]0.791253861327618[/C][C]0.604373069336191[/C][/ROW]
[ROW][C]399[/C][C]0.390705398209269[/C][C]0.781410796418538[/C][C]0.609294601790731[/C][/ROW]
[ROW][C]400[/C][C]0.369248642369509[/C][C]0.738497284739019[/C][C]0.630751357630491[/C][/ROW]
[ROW][C]401[/C][C]0.351727885652507[/C][C]0.703455771305013[/C][C]0.648272114347493[/C][/ROW]
[ROW][C]402[/C][C]0.339645125780176[/C][C]0.679290251560351[/C][C]0.660354874219824[/C][/ROW]
[ROW][C]403[/C][C]0.317278628927636[/C][C]0.634557257855273[/C][C]0.682721371072364[/C][/ROW]
[ROW][C]404[/C][C]0.305173740835136[/C][C]0.610347481670272[/C][C]0.694826259164864[/C][/ROW]
[ROW][C]405[/C][C]0.307368134214277[/C][C]0.614736268428553[/C][C]0.692631865785723[/C][/ROW]
[ROW][C]406[/C][C]0.298822485028798[/C][C]0.597644970057596[/C][C]0.701177514971202[/C][/ROW]
[ROW][C]407[/C][C]0.300483094228595[/C][C]0.60096618845719[/C][C]0.699516905771405[/C][/ROW]
[ROW][C]408[/C][C]0.366581930096757[/C][C]0.733163860193514[/C][C]0.633418069903243[/C][/ROW]
[ROW][C]409[/C][C]0.345944514258522[/C][C]0.691889028517045[/C][C]0.654055485741478[/C][/ROW]
[ROW][C]410[/C][C]0.317720905667275[/C][C]0.63544181133455[/C][C]0.682279094332725[/C][/ROW]
[ROW][C]411[/C][C]0.308220635069932[/C][C]0.616441270139865[/C][C]0.691779364930068[/C][/ROW]
[ROW][C]412[/C][C]0.283955295008885[/C][C]0.56791059001777[/C][C]0.716044704991115[/C][/ROW]
[ROW][C]413[/C][C]0.269837365609174[/C][C]0.539674731218349[/C][C]0.730162634390826[/C][/ROW]
[ROW][C]414[/C][C]0.282061021373097[/C][C]0.564122042746194[/C][C]0.717938978626903[/C][/ROW]
[ROW][C]415[/C][C]0.28864106806559[/C][C]0.577282136131179[/C][C]0.71135893193441[/C][/ROW]
[ROW][C]416[/C][C]0.333228566980589[/C][C]0.666457133961177[/C][C]0.666771433019411[/C][/ROW]
[ROW][C]417[/C][C]0.327227966092841[/C][C]0.654455932185683[/C][C]0.672772033907159[/C][/ROW]
[ROW][C]418[/C][C]0.324090897006857[/C][C]0.648181794013714[/C][C]0.675909102993143[/C][/ROW]
[ROW][C]419[/C][C]0.324765545322756[/C][C]0.649531090645512[/C][C]0.675234454677244[/C][/ROW]
[ROW][C]420[/C][C]0.332107568897584[/C][C]0.664215137795168[/C][C]0.667892431102416[/C][/ROW]
[ROW][C]421[/C][C]0.373074654894403[/C][C]0.746149309788806[/C][C]0.626925345105597[/C][/ROW]
[ROW][C]422[/C][C]0.371818589707957[/C][C]0.743637179415914[/C][C]0.628181410292043[/C][/ROW]
[ROW][C]423[/C][C]0.40473829317321[/C][C]0.809476586346419[/C][C]0.59526170682679[/C][/ROW]
[ROW][C]424[/C][C]0.402813763310685[/C][C]0.80562752662137[/C][C]0.597186236689315[/C][/ROW]
[ROW][C]425[/C][C]0.411511340690466[/C][C]0.823022681380932[/C][C]0.588488659309534[/C][/ROW]
[ROW][C]426[/C][C]0.39859731443712[/C][C]0.79719462887424[/C][C]0.60140268556288[/C][/ROW]
[ROW][C]427[/C][C]0.411880200685541[/C][C]0.823760401371081[/C][C]0.588119799314459[/C][/ROW]
[ROW][C]428[/C][C]0.380890974421356[/C][C]0.761781948842712[/C][C]0.619109025578644[/C][/ROW]
[ROW][C]429[/C][C]0.404494373863625[/C][C]0.80898874772725[/C][C]0.595505626136375[/C][/ROW]
[ROW][C]430[/C][C]0.429719083733427[/C][C]0.859438167466853[/C][C]0.570280916266573[/C][/ROW]
[ROW][C]431[/C][C]0.399517119892379[/C][C]0.799034239784757[/C][C]0.600482880107621[/C][/ROW]
[ROW][C]432[/C][C]0.364698461357287[/C][C]0.729396922714573[/C][C]0.635301538642713[/C][/ROW]
[ROW][C]433[/C][C]0.347470177308884[/C][C]0.694940354617767[/C][C]0.652529822691116[/C][/ROW]
[ROW][C]434[/C][C]0.315978253026992[/C][C]0.631956506053984[/C][C]0.684021746973008[/C][/ROW]
[ROW][C]435[/C][C]0.289162353211942[/C][C]0.578324706423884[/C][C]0.710837646788058[/C][/ROW]
[ROW][C]436[/C][C]0.313225218545318[/C][C]0.626450437090636[/C][C]0.686774781454682[/C][/ROW]
[ROW][C]437[/C][C]0.377280729785461[/C][C]0.754561459570922[/C][C]0.622719270214539[/C][/ROW]
[ROW][C]438[/C][C]0.351231217320265[/C][C]0.702462434640529[/C][C]0.648768782679735[/C][/ROW]
[ROW][C]439[/C][C]0.318805116414931[/C][C]0.637610232829863[/C][C]0.681194883585069[/C][/ROW]
[ROW][C]440[/C][C]0.31627847256163[/C][C]0.632556945123259[/C][C]0.68372152743837[/C][/ROW]
[ROW][C]441[/C][C]0.298009207277824[/C][C]0.596018414555648[/C][C]0.701990792722176[/C][/ROW]
[ROW][C]442[/C][C]0.30167517927813[/C][C]0.603350358556259[/C][C]0.69832482072187[/C][/ROW]
[ROW][C]443[/C][C]0.280379287426623[/C][C]0.560758574853246[/C][C]0.719620712573377[/C][/ROW]
[ROW][C]444[/C][C]0.268002596121928[/C][C]0.536005192243856[/C][C]0.731997403878072[/C][/ROW]
[ROW][C]445[/C][C]0.237216205476465[/C][C]0.47443241095293[/C][C]0.762783794523535[/C][/ROW]
[ROW][C]446[/C][C]0.209394669084482[/C][C]0.418789338168964[/C][C]0.790605330915518[/C][/ROW]
[ROW][C]447[/C][C]0.183561279200697[/C][C]0.367122558401394[/C][C]0.816438720799303[/C][/ROW]
[ROW][C]448[/C][C]0.161473736875907[/C][C]0.322947473751813[/C][C]0.838526263124093[/C][/ROW]
[ROW][C]449[/C][C]0.163354244187666[/C][C]0.326708488375331[/C][C]0.836645755812334[/C][/ROW]
[ROW][C]450[/C][C]0.147457006269645[/C][C]0.294914012539289[/C][C]0.852542993730355[/C][/ROW]
[ROW][C]451[/C][C]0.127939819265585[/C][C]0.255879638531169[/C][C]0.872060180734415[/C][/ROW]
[ROW][C]452[/C][C]0.112342044725294[/C][C]0.224684089450588[/C][C]0.887657955274706[/C][/ROW]
[ROW][C]453[/C][C]0.12767956830805[/C][C]0.2553591366161[/C][C]0.87232043169195[/C][/ROW]
[ROW][C]454[/C][C]0.12524567023445[/C][C]0.250491340468901[/C][C]0.87475432976555[/C][/ROW]
[ROW][C]455[/C][C]0.146517842567764[/C][C]0.293035685135527[/C][C]0.853482157432236[/C][/ROW]
[ROW][C]456[/C][C]0.130721136750809[/C][C]0.261442273501617[/C][C]0.869278863249191[/C][/ROW]
[ROW][C]457[/C][C]0.119132818965815[/C][C]0.23826563793163[/C][C]0.880867181034185[/C][/ROW]
[ROW][C]458[/C][C]0.226088852767256[/C][C]0.452177705534511[/C][C]0.773911147232744[/C][/ROW]
[ROW][C]459[/C][C]0.34155472703483[/C][C]0.68310945406966[/C][C]0.65844527296517[/C][/ROW]
[ROW][C]460[/C][C]0.322898993148933[/C][C]0.645797986297865[/C][C]0.677101006851067[/C][/ROW]
[ROW][C]461[/C][C]0.299541998589875[/C][C]0.59908399717975[/C][C]0.700458001410125[/C][/ROW]
[ROW][C]462[/C][C]0.260696979392384[/C][C]0.521393958784769[/C][C]0.739303020607616[/C][/ROW]
[ROW][C]463[/C][C]0.22894934048872[/C][C]0.457898680977441[/C][C]0.771050659511279[/C][/ROW]
[ROW][C]464[/C][C]0.211835555029922[/C][C]0.423671110059843[/C][C]0.788164444970078[/C][/ROW]
[ROW][C]465[/C][C]0.182649438706319[/C][C]0.365298877412638[/C][C]0.817350561293681[/C][/ROW]
[ROW][C]466[/C][C]0.205097801461875[/C][C]0.41019560292375[/C][C]0.794902198538125[/C][/ROW]
[ROW][C]467[/C][C]0.352172566800447[/C][C]0.704345133600893[/C][C]0.647827433199553[/C][/ROW]
[ROW][C]468[/C][C]0.331051080662475[/C][C]0.662102161324951[/C][C]0.668948919337525[/C][/ROW]
[ROW][C]469[/C][C]0.300379069056643[/C][C]0.600758138113286[/C][C]0.699620930943357[/C][/ROW]
[ROW][C]470[/C][C]0.274206380263817[/C][C]0.548412760527634[/C][C]0.725793619736183[/C][/ROW]
[ROW][C]471[/C][C]0.296526235452088[/C][C]0.593052470904176[/C][C]0.703473764547912[/C][/ROW]
[ROW][C]472[/C][C]0.407429512750267[/C][C]0.814859025500535[/C][C]0.592570487249733[/C][/ROW]
[ROW][C]473[/C][C]0.466483498956045[/C][C]0.932966997912091[/C][C]0.533516501043955[/C][/ROW]
[ROW][C]474[/C][C]0.452987866402355[/C][C]0.905975732804709[/C][C]0.547012133597645[/C][/ROW]
[ROW][C]475[/C][C]0.39778433704138[/C][C]0.795568674082761[/C][C]0.60221566295862[/C][/ROW]
[ROW][C]476[/C][C]0.641374693056043[/C][C]0.717250613887913[/C][C]0.358625306943957[/C][/ROW]
[ROW][C]477[/C][C]0.639378801700199[/C][C]0.721242396599601[/C][C]0.360621198299801[/C][/ROW]
[ROW][C]478[/C][C]0.761838156317059[/C][C]0.476323687365883[/C][C]0.238161843682941[/C][/ROW]
[ROW][C]479[/C][C]0.71028352718702[/C][C]0.579432945625961[/C][C]0.28971647281298[/C][/ROW]
[ROW][C]480[/C][C]0.680139394933041[/C][C]0.639721210133918[/C][C]0.319860605066959[/C][/ROW]
[ROW][C]481[/C][C]0.671003810768605[/C][C]0.657992378462791[/C][C]0.328996189231395[/C][/ROW]
[ROW][C]482[/C][C]0.614552341989335[/C][C]0.770895316021329[/C][C]0.385447658010665[/C][/ROW]
[ROW][C]483[/C][C]0.547644874855082[/C][C]0.904710250289835[/C][C]0.452355125144918[/C][/ROW]
[ROW][C]484[/C][C]0.488755483028042[/C][C]0.977510966056083[/C][C]0.511244516971958[/C][/ROW]
[ROW][C]485[/C][C]0.634868331913756[/C][C]0.730263336172488[/C][C]0.365131668086244[/C][/ROW]
[ROW][C]486[/C][C]0.588622865110907[/C][C]0.822754269778186[/C][C]0.411377134889093[/C][/ROW]
[ROW][C]487[/C][C]0.51769103112459[/C][C]0.96461793775082[/C][C]0.48230896887541[/C][/ROW]
[ROW][C]488[/C][C]0.492074022437242[/C][C]0.984148044874485[/C][C]0.507925977562758[/C][/ROW]
[ROW][C]489[/C][C]0.446972697348882[/C][C]0.893945394697763[/C][C]0.553027302651118[/C][/ROW]
[ROW][C]490[/C][C]0.383096144059201[/C][C]0.766192288118402[/C][C]0.616903855940799[/C][/ROW]
[ROW][C]491[/C][C]0.301704939771405[/C][C]0.603409879542811[/C][C]0.698295060228595[/C][/ROW]
[ROW][C]492[/C][C]0.255537253685055[/C][C]0.511074507370111[/C][C]0.744462746314944[/C][/ROW]
[ROW][C]493[/C][C]0.220093515660339[/C][C]0.440187031320677[/C][C]0.779906484339661[/C][/ROW]
[ROW][C]494[/C][C]0.183922788225119[/C][C]0.367845576450237[/C][C]0.816077211774881[/C][/ROW]
[ROW][C]495[/C][C]0.136011222416991[/C][C]0.272022444833983[/C][C]0.863988777583009[/C][/ROW]
[ROW][C]496[/C][C]0.134038691639188[/C][C]0.268077383278376[/C][C]0.865961308360812[/C][/ROW]
[ROW][C]497[/C][C]0.0772749182301053[/C][C]0.154549836460211[/C][C]0.922725081769895[/C][/ROW]
[ROW][C]498[/C][C]0.0583022265385042[/C][C]0.116604453077008[/C][C]0.941697773461496[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203011&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203011&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
230.2418697801801430.4837395603602850.758130219819857
240.1228243350656040.2456486701312090.877175664934396
250.05566867440780540.1113373488156110.944331325592195
260.02354612931927250.04709225863854510.976453870680727
270.009475468747555450.01895093749511090.990524531252445
280.00798249342306240.01596498684612480.992017506576938
290.003181396366313380.006362792732626760.996818603633687
300.001200793642838780.002401587285677570.998799206357161
310.0004472747415311540.0008945494830623090.999552725258469
320.0001629776639275080.0003259553278550160.999837022336073
335.47161837216736e-050.0001094323674433470.999945283816278
340.000142344753887370.000284689507774740.999857655246113
355.72507626030085e-050.0001145015252060170.999942749237397
362.1124879099337e-054.22497581986741e-050.999978875120901
377.82538003330829e-061.56507600666166e-050.999992174619967
383.55293074155125e-067.1058614831025e-060.999996447069258
391.87399513835834e-063.74799027671669e-060.999998126004862
401.1934028489954e-062.3868056979908e-060.999998806597151
414.37902862390039e-078.75805724780077e-070.999999562097138
421.69501220253832e-073.39002440507664e-070.99999983049878
437.7858005628347e-081.55716011256694e-070.999999922141994
442.56362289609736e-085.12724579219472e-080.999999974363771
451.02123849771709e-082.04247699543418e-080.999999989787615
466.7517169311532e-071.35034338623064e-060.999999324828307
472.81615817269462e-075.63231634538925e-070.999999718384183
481.16557323549825e-072.33114647099651e-070.999999883442676
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4980.05830222653850420.1166044530770080.941697773461496







Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1670.350840336134454NOK
5% type I error level2230.468487394957983NOK
10% type I error level2530.531512605042017NOK

\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 & 167 & 0.350840336134454 & NOK \tabularnewline
5% type I error level & 223 & 0.468487394957983 & NOK \tabularnewline
10% type I error level & 253 & 0.531512605042017 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=203011&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]167[/C][C]0.350840336134454[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]223[/C][C]0.468487394957983[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]253[/C][C]0.531512605042017[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=203011&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=203011&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 level1670.350840336134454NOK
5% type I error level2230.468487394957983NOK
10% type I error level2530.531512605042017NOK



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')
}