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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationMon, 15 Dec 2014 14:01:16 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/15/t1418652932sw259t10p91edv4.htm/, Retrieved Thu, 16 May 2024 09:48:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=268469, Retrieved Thu, 16 May 2024 09:48:38 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact57

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [linear trend] [2014-12-15 14:01:16] [e719845b3f21bd57beb5defeff8ed9b5] [Current]
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Dataset

Dataseries X:
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Histogram
Boxplots 
7,5	1,8	2,1	1,5
2,5	1,6	1,5	1,8
6	2,1	2	2,1
6,5	2,2	2	2,1
1	2,3	2,1	1,9
1	2,1	2	1,6
5,5	2,7	2,3	2,1
8,5	2,1	2,1	2,1
6,5	2,4	2,1	2,2
4,5	2,9	2,2	1,5
2	2,2	2,1	1,9
5	2,1	2,1	2,2
0,5	2,2	2,1	1,6
5	2,2	2	1,5
5	2,7	2,3	1,9
2,5	1,9	1,8	0,1
5	2	2	2,2
5,5	2,5	2,2	1,8
3,5	2,2	2	1,6
3	2,3	2,1	2,2
4	1,9	2	2,1
0,5	2,1	1,8	1,9
6,5	3,5	2,2	1,6
4,5	2,1	2,2	1,9
7,5	2,3	1,7	2,2
5,5	2,3	2,1	1,8
4	2,2	2,3	2,4
7,5	3,5	2,7	2,4
7	1,9	1,9	2,5
4	1,9	2	1,9
5,5	1,9	2	2,1
2,5	1,9	1,9	1,9
5,5	2,1	2	2,1
0,5	1,6	2	1,9
3,5	2	2	1,5
2,5	3,2	2,1	1,9
4,5	2,3	2	2,1
4,5	2,5	1,8	1,5
4,5	1,8	2	2,1
6	2,4	2,2	2,1
2,5	2,8	2,2	1,8
5	2,3	2,1	2,4
0	2	1,8	2,1
5	2,5	1,9	1,9
6,5	2,3	2,1	2,1
5	1,8	2	1,9
6	1,9	1,9	2,4
4,5	2,6	2,2	2,1
5,5	2	2	2,2
1	2,6	2	2,2
7,5	1,6	1,7	1,8
6	2,2	2	2,1
5	2,1	2,2	2,4
1	1,8	1,7	2,2
5	1,8	2	2,1
6,5	1,9	2,2	1,5
7	2,4	2	1,9
4,5	1,9	1,9	1,8
0	2	2	1,8
8,5	2,1	2	1,6
3,5	1,7	1,6	1,2
7,5	1,9	2,1	1,8
3,5	2,1	2,1	1,5
6	2,4	2	2,1
1,5	1,8	1,9	2,4
9	2,3	2,2	2,4
3,5	2,1	2,1	1,5
3,5	2	1,8	1,8
4	2,8	2,3	2,1
6,5	2	2,3	2,2
7,5	2,7	2,2	2,1
6	2,1	2,1	1,9
5	2,9	2,2	2,1
5,5	2	1,9	1,9
3,5	1,8	1,8	1,6
7,5	2,6	2,1	2,4
1	2,5	1,8	1,9
6,5	2,1	2	1,9
NA	2,3	1,7	1,9
6,5	2,3	2,1	2,1
6,5	2,2	2,1	1,8
7	2	2,1	2,1
3,5	2,2	1,8	2,4
1,5	2,1	2	2,1
4	2,1	2,1	2,2
7,5	1,9	1,9	2,1
4,5	2	2,1	2,2
0	1,7	1	1,6
3,5	2,2	2,2	2,4
5,5	2,2	2,1	2,1
5	2,3	1,9	1,9
4,5	2,4	2	2,4
2,5	2,1	1,9	2,1
7,5	1,9	2	1,8
7	1,7	1,8	2,1
0	1,8	2	1,8
4,5	1,5	2	1,9
3	1,9	2	1,9
1,5	1,9	1,8	2,4
3,5	1,7	2	1,8
2,5	1,9	1,1	1,8
5,5	1,9	1,8	2,1
8	1,8	1,8	2,1
1	2,4	2	2,4
5	1,8	1,9	1,9
4,5	1,9	2,1	1,8
3	1,8	1,6	1,8
3	2,1	2,2	2,2
8	1,9	1,9	2,4
2,5	2,2	2	1,8
7	2	2,1	2,4
0	1,7	1,3	1,8
1	1,7	1,8	1,9
3,5	1,8	1,9	2,4
5,5	1,9	2,1	2,1
5,5	1,8	1,8	1,9
0,5	1	0,75	2,1
7,5	1	1,5	2,7
9	4	3	2,1
9,5	4	2,25	2,1
8,5	3	3	2,1
7	2	1,5	2,1
8	4	3	2,1
10	4	3	2,1
7	4	3	2,1
8,5	2	0,75	2,1
9	4	3	2,4
9,5	1	2,25	1,95
4	3	1,5	2,1
6	3	1,5	2,1
8	4	2,25	1,95
5,5	3	3	2,1
9,5	4	3	2,4
7,5	3	1,5	2,1
7	3	2,25	2,25
7,5	4	2,25	2,4
8	3	1,5	2,25
7	3	2,25	2,55
7	2	1,5	1,95
6	2	2,25	2,4
10	3	2,25	2,1
2,5	1	3	2,1
9	4	3	2,4
8	3	3	2,1
6	2	1,5	2,1
8,5	4	3	2,25
6	4	3	2,25
9	4	2,25	2,4
8	4	1,5	2,1
8	4	2,25	2,1
9	4	2,25	2,4
5,5	3	3	2,1
5	4	0,75	1,95
7	3	2,25	2,1
5,5	4	3	2,25
9	4	3	2,25
2	4	1,5	2,4
8,5	3	2,25	2,25
9	4	3	2,25
8,5	4	2,25	2,1
9	2	1,5	2,1
7,5	2	2,25	2,1
10	4	2,25	2,7
9	3	1,5	2,1
7,5	3	2,25	2,1
6	2	1,5	2,25
10,5	3	2,25	2,7
8,5	2	3	2,4
8	4	3	2,1
10	1	3	2,1
10,5	4	3	2,4
6,5	1	1,5	1,95
9,5	4	2,25	2,7
8,5	3	1,5	2,1
7,5	3	2,25	2,25
5	2	2,25	2,1
8	3	2,25	2,7
10	3	3	2,1
7	4	1,5	2,1
7,5	4	2,25	1,65
7,5	4	2,25	1,65
9,5	3	3	2,1
6	3	2,25	2,1
10	4	3	2,1
7	4	2,25	2,1
3	1	1,5	2,1
6	2	3	2,4
7	3	1,5	2,4
10	4	3	2,1
7	3	3	2,25
3,5	4	3	2,4
8	3	3	2,1
10	3	2,25	2,1
5,5	3	2,25	2,4
6	3	0,75	2,4
6,5	1	3	2,1
6,5	1	0,75	2,1
8,5	3	1,5	2,4
4	2	1,5	2,1
9,5	3	3	2,7
8	2	1,5	2,1
8,5	2	2,25	2,1
5,5	4	3	2,25
7	2	3	2,1
9	2	1,5	2,4
8	3	3	2,25
10	4	3	2,25
8	2	1,5	2,1
6	4	1,5	2,1
8	3	2,25	2,4
5	4	1,5	2,25
9	2	1,5	2,1
4,5	1	2,25	2,1
8,5	1	1,5	1,65
7	1	2,25	1,65
9,5	4	3	2,7
8,5	3	3	2,1
7,5	1	0,75	1,95
7,5	4	1,5	2,25
5	3	1,5	2,4
7	2	2,25	1,95
8	4	2,25	2,1
5,5	3	1,5	2,4
8,5	3	2,25	2,1
7,5	4	0,75	2,1
9,5	4	2,25	2,4
7	1	0,75	2,4
8	3	2,25	2,4
8,5	4	3	2,25
3,5	1	0,75	2,4
6,5	3	0,75	2,1
6,5	4	3	2,1
10,5	4	3	1,8
8,5	1	3	2,7
8	4	3	2,1
10	2	1,5	2,1
10	3	3	2,4
9,5	4	3	2,55
9	4	3	2,55
10	4	3	2,1
7,5	2	1,5	2,1
4,5	4	2,25	2,1
4,5	2	0,75	2,25
0,5	1	0,75	2,25
6,5	1	2,25	2,1
4,5	4	3	2,1
5,5	2	2,25	1,95
5	2	3	2,4
6	3	2,25	2,1
4	2	3	2,4
8	3	1,5	2,4
10,5	4	3	2,4
8,5	4	3	2,25
6,5	2	0,75	1,95
8	3	1,5	2,1
8,5	4	3	2,1
5,5	3	3	2,55
7	4	3	2,1
5	4	2,25	2,1
3,5	4	2,25	2,1
5	2	3	1,95
9	2	1,5	2,25
8,5	2	2,25	2,4
5	4	2,25	1,95
9,5	3	2,25	2,1
3	2	0,75	2,1
1,5	2	2,25	1,95
6	3	1,5	2,1
0,5	3	2,25	2,1
6,5	1	1,5	1,95
7,5	2	0,75	2,1
4,5	2	1,5	1,95
8	3	1,5	2,4
9	3	2,25	2,4
7,5	2	1,5	2,4
8,5	2	1,5	1,95
7	3	3	2,7
9,5	3	2,25	2,1
6,5	1	1,5	1,95
9,5	3	0,75	2,1
6	2	2,25	1,95
8	2	3	2,1
9,5	3	3	2,25
8	3	1,5	2,7
8	3	1,5	2,1
9	3	2,25	2,4
5	1	0,75	1,35

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 8 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268469&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]8 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268469&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268469&T=0

As an alternative you can also use a QR Code:  
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 time8 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Multiple Linear Regression - Estimated Regression Equation
EX[t] = -1.10143 + 0.608436PR[t] + 0.705157PE[t] + 1.36055PA[t] + 0.00932561t + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
EX[t] =  -1.10143 +  0.608436PR[t] +  0.705157PE[t] +  1.36055PA[t] +  0.00932561t  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268469&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]EX[t] =  -1.10143 +  0.608436PR[t] +  0.705157PE[t] +  1.36055PA[t] +  0.00932561t  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268469&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268469&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Multiple Linear Regression - Estimated Regression Equation
EX[t] = -1.10143 + 0.608436PR[t] + 0.705157PE[t] + 1.36055PA[t] + 0.00932561t + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-1.101430.97518-1.1290.2596670.129833
PR0.6084360.1633983.7240.0002372610.00011863
PE0.7051570.2366582.980.003137980.00156899
PA1.360550.4812462.8270.00503390.00251695
t0.009325610.001653295.6414.12907e-082.06454e-08

\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) & -1.10143 & 0.97518 & -1.129 & 0.259667 & 0.129833 \tabularnewline
PR & 0.608436 & 0.163398 & 3.724 & 0.000237261 & 0.00011863 \tabularnewline
PE & 0.705157 & 0.236658 & 2.98 & 0.00313798 & 0.00156899 \tabularnewline
PA & 1.36055 & 0.481246 & 2.827 & 0.0050339 & 0.00251695 \tabularnewline
t & 0.00932561 & 0.00165329 & 5.641 & 4.12907e-08 & 2.06454e-08 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268469&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]-1.10143[/C][C]0.97518[/C][C]-1.129[/C][C]0.259667[/C][C]0.129833[/C][/ROW]
[ROW][C]PR[/C][C]0.608436[/C][C]0.163398[/C][C]3.724[/C][C]0.000237261[/C][C]0.00011863[/C][/ROW]
[ROW][C]PE[/C][C]0.705157[/C][C]0.236658[/C][C]2.98[/C][C]0.00313798[/C][C]0.00156899[/C][/ROW]
[ROW][C]PA[/C][C]1.36055[/C][C]0.481246[/C][C]2.827[/C][C]0.0050339[/C][C]0.00251695[/C][/ROW]
[ROW][C]t[/C][C]0.00932561[/C][C]0.00165329[/C][C]5.641[/C][C]4.12907e-08[/C][C]2.06454e-08[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268469&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268469&T=2

As an alternative you can also use a QR Code:  
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)-1.101430.97518-1.1290.2596670.129833
PR0.6084360.1633983.7240.0002372610.00011863
PE0.7051570.2366582.980.003137980.00156899
PA1.360550.4812462.8270.00503390.00251695
t0.009325610.001653295.6414.12907e-082.06454e-08






Multiple Linear Regression - Regression Statistics
Multiple R0.562596
R-squared0.316514
Adjusted R-squared0.306785
F-TEST (value)32.532
F-TEST (DF numerator)4
F-TEST (DF denominator)281
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.12874
Sum Squared Residuals1273.36

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.562596 \tabularnewline
R-squared & 0.316514 \tabularnewline
Adjusted R-squared & 0.306785 \tabularnewline
F-TEST (value) & 32.532 \tabularnewline
F-TEST (DF numerator) & 4 \tabularnewline
F-TEST (DF denominator) & 281 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.12874 \tabularnewline
Sum Squared Residuals & 1273.36 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268469&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.562596[/C][/ROW]
[ROW][C]R-squared[/C][C]0.316514[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.306785[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]32.532[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]4[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]281[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]2.12874[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]1273.36[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268469&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268469&T=3

As an alternative you can also use a QR Code:  
QR Code


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

Multiple Linear Regression - Regression Statistics
Multiple R0.562596
R-squared0.316514
Adjusted R-squared0.306785
F-TEST (value)32.532
F-TEST (DF numerator)4
F-TEST (DF denominator)281
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.12874
Sum Squared Residuals1273.36






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
17.53.524743.97526
22.53.39745-0.897455
364.471741.52826
46.54.541911.95809
514.41049-3.41049
613.81944-2.81944
75.55.085650.414345
88.54.588893.91111
96.54.91681.5832
104.54.348470.151529
1124.4056-2.4056
1254.762240.237755
130.54.01608-3.51608
1453.818841.18116
1554.888150.111851
162.51.609150.89085
1754.677510.322486
185.54.587870.912133
193.54.00152-0.50152
2034.95854-1.95854
2144.51792-0.517917
220.54.23579-3.73579
236.54.970821.52918
244.54.5365-0.0365018
257.54.72312.7769
265.54.470271.02973
2745.37611-1.37611
287.56.458471.04153
2975.066231.93377
3044.32974-0.329737
315.54.611170.888827
322.54.27787-1.77787
335.54.751510.748488
340.54.18451-3.68451
353.53.89299-0.392987
362.55.24717-2.74717
374.54.9105-0.410501
384.54.084150.41585
394.54.62493-0.124934
4065.140350.859647
412.54.98489-2.48489
4255.43581-0.435811
4304.64289-4.64289
4454.754840.245159
456.55.055621.44438
4654.41810.581897
4765.098030.901967
484.55.33665-0.836645
495.54.975930.524067
5015.35032-4.35032
517.53.995443.50456
5264.989541.01046
5355.48722-0.487221
5414.68933-3.68933
5554.774140.225856
566.54.169012.33099
5774.885752.11425
584.54.384280.115717
5904.52497-4.52497
608.54.323034.17697
613.53.262690.237307
627.54.562622.93738
633.54.28546-0.785463
6465.223140.776864
651.55.20505-3.70505
6695.730143.26986
673.54.32277-0.822766
683.54.46787-0.967867
6945.72469-1.72469
706.55.383321.11668
717.55.611981.88802
7264.913621.08638
7355.75232-0.752316
745.54.730390.769609
753.54.13935-0.639348
767.55.935411.56459
7714.99207-3.99207
786.54.899051.60095
79NANA1.11798
806.54.922331.57767
816.54.718141.78186
8279.04577-2.04577
833.57.22712-3.72712
841.52.94301-1.44301
8541.553572.44643
867.58.40082-0.900822
874.58.13561-3.63561
8802.38379-2.38379
893.53.414430.0855696
905.55.57146-0.0714575
9156.39242-1.39242
924.57.24053-2.74053
932.5-0.209482.70948
947.55.445292.05471
95711.7483-4.74833
9600.211178-0.211178
974.56.46388-1.96388
9837.01245-4.01245
991.52.72479-1.22479
1003.55.22116-1.72116
1012.52.132260.36774
1025.52.580742.91926
103813.0043-5.00433
10410.8977980.102202
10555.47294-0.472943
1064.56.06885-1.56885
10735.72802-2.72802
10830.6762212.32378
109810.6223-2.62226
1102.51.396751.10325
111711.3431-4.34308
11203.84104-3.84104
11313.16201-2.16201
1143.53.465040.0349604
1155.54.929860.570136
1165.58.98414-3.48414
1170.5-1.661342.16134
1187.55.91471.5853
11996.395162.60484
1209.57.824911.67509
1218.56.668071.83193
12276.4520.547997
12385.461332.53867
1241010.4707-0.470654
12573.17653.8235
1268.57.397471.10253
12794.440374.55963
1289.511.3418-1.84178
12943.851110.14889
13064.793661.20634
13189.4275-1.4275
1325.53.953421.54658
1339.57.888411.61159
1347.57.130690.369312
13576.952530.0474664
1367.55.620471.87953
13788.06683-0.0668315
13875.122521.87748
13977.27296-0.272963
14062.482563.51744
1411013.3039-3.30388
1422.51.546680.953319
14398.03940.960596
14487.382560.617443
14565.370570.629425
1468.510.3799-1.8799
14764.564441.43556
14897.636731.36327
14987.174930.825074
15086.592421.40758
151910.614-1.61401
1525.56.44108-0.941084
15354.603790.396208
15479.4545-2.4545
1555.54.463831.03617
156914.1195-5.1195
15720.3451771.65482
1588.57.491811.00819
15997.768181.23182
1608.55.031773.46823
16197.569961.43004
1627.55.612491.88751
163107.168182.83182
16498.206370.793626
1657.57.282480.217522
16663.041362.95864
16710.59.062951.43705
1688.58.380980.11902
16984.0653.935
170107.80782.1922
17110.58.821831.67817
1726.55.205751.29425
1739.57.261442.23856
1748.58.003710.496287
1757.58.70052-1.20052
17654.634610.365387
17785.356472.64353
178109.91650.0834994
17976.342440.657555
1807.56.851770.648229
1817.55.393782.10622
1829.510.3742-0.874234
18364.020861.97914
1841010.5013-0.501322
18579.15647-2.15647
18634.24013-1.24013
18765.800160.199839
18875.067491.93251
1891010.6725-0.672465
190711.9943-4.99431
1913.52.987030.512967
19284.967493.03251
1931011.885-1.88498
1945.55.83657-0.336572
19565.807460.192538
1966.54.730181.76982
1976.54.893421.60658
1988.510.3861-1.88614
19942.877971.12203
2009.57.404792.09521
20185.942982.05702
2028.511.4021-2.90213
2035.55.49050.00949641
20474.350262.64974
20598.821670.178326
20686.439441.56056
207107.970072.02993
20889.19627-1.19627
20965.534190.465808
210810.419-2.419
21152.007372.99263
212910.4371-1.43713
2134.50.8053383.69466
2148.56.843531.65647
21576.635620.364384
2169.58.720170.779827
2178.55.721942.77806
2187.57.493610.00639207
2197.59.59858-2.09858
22054.416090.583912
22176.846370.15363
22289.62656-1.62656
2235.54.256581.24342
2248.57.816610.683389
2257.56.291841.20816
2269.57.918121.58188
22776.702050.297947
22888.1446-0.1446
2298.510.4461-1.9461
2303.53.264130.235872
2316.58.46849-1.96849
2326.54.069652.43035
23310.59.478171.02183
2348.58.99647-0.49647
23584.231193.76881
236108.314851.68515
237109.63670.363304
2389.59.64602-0.146022
23997.54311.4569
240108.777821.22218
2417.511.0329-3.53288
2424.55.97168-1.47168
2434.59.37257-4.87257
2440.50.2355490.264451
2456.510.5991-4.09905
2464.55.65855-1.15855
2475.58.309-2.809
24856.48972-1.48972
24969.82765-3.82765
25043.387670.612326
25186.563171.43683
25210.510.8684-0.368414
2538.57.66610.833903
2546.55.516810.98319
25588.19231-0.192308
2568.511.7054-3.20545
2575.57.21096-1.71096
258710.1914-3.19142
25959.70074-4.70074
2603.55.81798-2.31798
26152.677742.32226
26297.920011.07999
2638.511.534-3.03396
26453.138931.86107
2659.512.4821-2.98209
26638.34507-5.34507
2671.52.63804-1.13804
268613.1762-7.17624
2690.5-0.2642620.764262
2706.55.028721.47128
2717.59.36283-1.86283
2724.54.092840.407163
27387.131030.868969
27498.503050.496948
2757.55.400132.09987
2768.510.596-2.09604
27775.260171.73983
2789.58.819670.680331
2796.53.721082.77892
2809.510.4756-0.975624
28165.71790.282099
28287.039750.960254
2839.59.60359-0.103585
28487.296580.703422
28587.242940.757062
28698.549070.450927
2875NANA

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 7.5 & 3.52474 & 3.97526 \tabularnewline
2 & 2.5 & 3.39745 & -0.897455 \tabularnewline
3 & 6 & 4.47174 & 1.52826 \tabularnewline
4 & 6.5 & 4.54191 & 1.95809 \tabularnewline
5 & 1 & 4.41049 & -3.41049 \tabularnewline
6 & 1 & 3.81944 & -2.81944 \tabularnewline
7 & 5.5 & 5.08565 & 0.414345 \tabularnewline
8 & 8.5 & 4.58889 & 3.91111 \tabularnewline
9 & 6.5 & 4.9168 & 1.5832 \tabularnewline
10 & 4.5 & 4.34847 & 0.151529 \tabularnewline
11 & 2 & 4.4056 & -2.4056 \tabularnewline
12 & 5 & 4.76224 & 0.237755 \tabularnewline
13 & 0.5 & 4.01608 & -3.51608 \tabularnewline
14 & 5 & 3.81884 & 1.18116 \tabularnewline
15 & 5 & 4.88815 & 0.111851 \tabularnewline
16 & 2.5 & 1.60915 & 0.89085 \tabularnewline
17 & 5 & 4.67751 & 0.322486 \tabularnewline
18 & 5.5 & 4.58787 & 0.912133 \tabularnewline
19 & 3.5 & 4.00152 & -0.50152 \tabularnewline
20 & 3 & 4.95854 & -1.95854 \tabularnewline
21 & 4 & 4.51792 & -0.517917 \tabularnewline
22 & 0.5 & 4.23579 & -3.73579 \tabularnewline
23 & 6.5 & 4.97082 & 1.52918 \tabularnewline
24 & 4.5 & 4.5365 & -0.0365018 \tabularnewline
25 & 7.5 & 4.7231 & 2.7769 \tabularnewline
26 & 5.5 & 4.47027 & 1.02973 \tabularnewline
27 & 4 & 5.37611 & -1.37611 \tabularnewline
28 & 7.5 & 6.45847 & 1.04153 \tabularnewline
29 & 7 & 5.06623 & 1.93377 \tabularnewline
30 & 4 & 4.32974 & -0.329737 \tabularnewline
31 & 5.5 & 4.61117 & 0.888827 \tabularnewline
32 & 2.5 & 4.27787 & -1.77787 \tabularnewline
33 & 5.5 & 4.75151 & 0.748488 \tabularnewline
34 & 0.5 & 4.18451 & -3.68451 \tabularnewline
35 & 3.5 & 3.89299 & -0.392987 \tabularnewline
36 & 2.5 & 5.24717 & -2.74717 \tabularnewline
37 & 4.5 & 4.9105 & -0.410501 \tabularnewline
38 & 4.5 & 4.08415 & 0.41585 \tabularnewline
39 & 4.5 & 4.62493 & -0.124934 \tabularnewline
40 & 6 & 5.14035 & 0.859647 \tabularnewline
41 & 2.5 & 4.98489 & -2.48489 \tabularnewline
42 & 5 & 5.43581 & -0.435811 \tabularnewline
43 & 0 & 4.64289 & -4.64289 \tabularnewline
44 & 5 & 4.75484 & 0.245159 \tabularnewline
45 & 6.5 & 5.05562 & 1.44438 \tabularnewline
46 & 5 & 4.4181 & 0.581897 \tabularnewline
47 & 6 & 5.09803 & 0.901967 \tabularnewline
48 & 4.5 & 5.33665 & -0.836645 \tabularnewline
49 & 5.5 & 4.97593 & 0.524067 \tabularnewline
50 & 1 & 5.35032 & -4.35032 \tabularnewline
51 & 7.5 & 3.99544 & 3.50456 \tabularnewline
52 & 6 & 4.98954 & 1.01046 \tabularnewline
53 & 5 & 5.48722 & -0.487221 \tabularnewline
54 & 1 & 4.68933 & -3.68933 \tabularnewline
55 & 5 & 4.77414 & 0.225856 \tabularnewline
56 & 6.5 & 4.16901 & 2.33099 \tabularnewline
57 & 7 & 4.88575 & 2.11425 \tabularnewline
58 & 4.5 & 4.38428 & 0.115717 \tabularnewline
59 & 0 & 4.52497 & -4.52497 \tabularnewline
60 & 8.5 & 4.32303 & 4.17697 \tabularnewline
61 & 3.5 & 3.26269 & 0.237307 \tabularnewline
62 & 7.5 & 4.56262 & 2.93738 \tabularnewline
63 & 3.5 & 4.28546 & -0.785463 \tabularnewline
64 & 6 & 5.22314 & 0.776864 \tabularnewline
65 & 1.5 & 5.20505 & -3.70505 \tabularnewline
66 & 9 & 5.73014 & 3.26986 \tabularnewline
67 & 3.5 & 4.32277 & -0.822766 \tabularnewline
68 & 3.5 & 4.46787 & -0.967867 \tabularnewline
69 & 4 & 5.72469 & -1.72469 \tabularnewline
70 & 6.5 & 5.38332 & 1.11668 \tabularnewline
71 & 7.5 & 5.61198 & 1.88802 \tabularnewline
72 & 6 & 4.91362 & 1.08638 \tabularnewline
73 & 5 & 5.75232 & -0.752316 \tabularnewline
74 & 5.5 & 4.73039 & 0.769609 \tabularnewline
75 & 3.5 & 4.13935 & -0.639348 \tabularnewline
76 & 7.5 & 5.93541 & 1.56459 \tabularnewline
77 & 1 & 4.99207 & -3.99207 \tabularnewline
78 & 6.5 & 4.89905 & 1.60095 \tabularnewline
79 & NA & NA & 1.11798 \tabularnewline
80 & 6.5 & 4.92233 & 1.57767 \tabularnewline
81 & 6.5 & 4.71814 & 1.78186 \tabularnewline
82 & 7 & 9.04577 & -2.04577 \tabularnewline
83 & 3.5 & 7.22712 & -3.72712 \tabularnewline
84 & 1.5 & 2.94301 & -1.44301 \tabularnewline
85 & 4 & 1.55357 & 2.44643 \tabularnewline
86 & 7.5 & 8.40082 & -0.900822 \tabularnewline
87 & 4.5 & 8.13561 & -3.63561 \tabularnewline
88 & 0 & 2.38379 & -2.38379 \tabularnewline
89 & 3.5 & 3.41443 & 0.0855696 \tabularnewline
90 & 5.5 & 5.57146 & -0.0714575 \tabularnewline
91 & 5 & 6.39242 & -1.39242 \tabularnewline
92 & 4.5 & 7.24053 & -2.74053 \tabularnewline
93 & 2.5 & -0.20948 & 2.70948 \tabularnewline
94 & 7.5 & 5.44529 & 2.05471 \tabularnewline
95 & 7 & 11.7483 & -4.74833 \tabularnewline
96 & 0 & 0.211178 & -0.211178 \tabularnewline
97 & 4.5 & 6.46388 & -1.96388 \tabularnewline
98 & 3 & 7.01245 & -4.01245 \tabularnewline
99 & 1.5 & 2.72479 & -1.22479 \tabularnewline
100 & 3.5 & 5.22116 & -1.72116 \tabularnewline
101 & 2.5 & 2.13226 & 0.36774 \tabularnewline
102 & 5.5 & 2.58074 & 2.91926 \tabularnewline
103 & 8 & 13.0043 & -5.00433 \tabularnewline
104 & 1 & 0.897798 & 0.102202 \tabularnewline
105 & 5 & 5.47294 & -0.472943 \tabularnewline
106 & 4.5 & 6.06885 & -1.56885 \tabularnewline
107 & 3 & 5.72802 & -2.72802 \tabularnewline
108 & 3 & 0.676221 & 2.32378 \tabularnewline
109 & 8 & 10.6223 & -2.62226 \tabularnewline
110 & 2.5 & 1.39675 & 1.10325 \tabularnewline
111 & 7 & 11.3431 & -4.34308 \tabularnewline
112 & 0 & 3.84104 & -3.84104 \tabularnewline
113 & 1 & 3.16201 & -2.16201 \tabularnewline
114 & 3.5 & 3.46504 & 0.0349604 \tabularnewline
115 & 5.5 & 4.92986 & 0.570136 \tabularnewline
116 & 5.5 & 8.98414 & -3.48414 \tabularnewline
117 & 0.5 & -1.66134 & 2.16134 \tabularnewline
118 & 7.5 & 5.9147 & 1.5853 \tabularnewline
119 & 9 & 6.39516 & 2.60484 \tabularnewline
120 & 9.5 & 7.82491 & 1.67509 \tabularnewline
121 & 8.5 & 6.66807 & 1.83193 \tabularnewline
122 & 7 & 6.452 & 0.547997 \tabularnewline
123 & 8 & 5.46133 & 2.53867 \tabularnewline
124 & 10 & 10.4707 & -0.470654 \tabularnewline
125 & 7 & 3.1765 & 3.8235 \tabularnewline
126 & 8.5 & 7.39747 & 1.10253 \tabularnewline
127 & 9 & 4.44037 & 4.55963 \tabularnewline
128 & 9.5 & 11.3418 & -1.84178 \tabularnewline
129 & 4 & 3.85111 & 0.14889 \tabularnewline
130 & 6 & 4.79366 & 1.20634 \tabularnewline
131 & 8 & 9.4275 & -1.4275 \tabularnewline
132 & 5.5 & 3.95342 & 1.54658 \tabularnewline
133 & 9.5 & 7.88841 & 1.61159 \tabularnewline
134 & 7.5 & 7.13069 & 0.369312 \tabularnewline
135 & 7 & 6.95253 & 0.0474664 \tabularnewline
136 & 7.5 & 5.62047 & 1.87953 \tabularnewline
137 & 8 & 8.06683 & -0.0668315 \tabularnewline
138 & 7 & 5.12252 & 1.87748 \tabularnewline
139 & 7 & 7.27296 & -0.272963 \tabularnewline
140 & 6 & 2.48256 & 3.51744 \tabularnewline
141 & 10 & 13.3039 & -3.30388 \tabularnewline
142 & 2.5 & 1.54668 & 0.953319 \tabularnewline
143 & 9 & 8.0394 & 0.960596 \tabularnewline
144 & 8 & 7.38256 & 0.617443 \tabularnewline
145 & 6 & 5.37057 & 0.629425 \tabularnewline
146 & 8.5 & 10.3799 & -1.8799 \tabularnewline
147 & 6 & 4.56444 & 1.43556 \tabularnewline
148 & 9 & 7.63673 & 1.36327 \tabularnewline
149 & 8 & 7.17493 & 0.825074 \tabularnewline
150 & 8 & 6.59242 & 1.40758 \tabularnewline
151 & 9 & 10.614 & -1.61401 \tabularnewline
152 & 5.5 & 6.44108 & -0.941084 \tabularnewline
153 & 5 & 4.60379 & 0.396208 \tabularnewline
154 & 7 & 9.4545 & -2.4545 \tabularnewline
155 & 5.5 & 4.46383 & 1.03617 \tabularnewline
156 & 9 & 14.1195 & -5.1195 \tabularnewline
157 & 2 & 0.345177 & 1.65482 \tabularnewline
158 & 8.5 & 7.49181 & 1.00819 \tabularnewline
159 & 9 & 7.76818 & 1.23182 \tabularnewline
160 & 8.5 & 5.03177 & 3.46823 \tabularnewline
161 & 9 & 7.56996 & 1.43004 \tabularnewline
162 & 7.5 & 5.61249 & 1.88751 \tabularnewline
163 & 10 & 7.16818 & 2.83182 \tabularnewline
164 & 9 & 8.20637 & 0.793626 \tabularnewline
165 & 7.5 & 7.28248 & 0.217522 \tabularnewline
166 & 6 & 3.04136 & 2.95864 \tabularnewline
167 & 10.5 & 9.06295 & 1.43705 \tabularnewline
168 & 8.5 & 8.38098 & 0.11902 \tabularnewline
169 & 8 & 4.065 & 3.935 \tabularnewline
170 & 10 & 7.8078 & 2.1922 \tabularnewline
171 & 10.5 & 8.82183 & 1.67817 \tabularnewline
172 & 6.5 & 5.20575 & 1.29425 \tabularnewline
173 & 9.5 & 7.26144 & 2.23856 \tabularnewline
174 & 8.5 & 8.00371 & 0.496287 \tabularnewline
175 & 7.5 & 8.70052 & -1.20052 \tabularnewline
176 & 5 & 4.63461 & 0.365387 \tabularnewline
177 & 8 & 5.35647 & 2.64353 \tabularnewline
178 & 10 & 9.9165 & 0.0834994 \tabularnewline
179 & 7 & 6.34244 & 0.657555 \tabularnewline
180 & 7.5 & 6.85177 & 0.648229 \tabularnewline
181 & 7.5 & 5.39378 & 2.10622 \tabularnewline
182 & 9.5 & 10.3742 & -0.874234 \tabularnewline
183 & 6 & 4.02086 & 1.97914 \tabularnewline
184 & 10 & 10.5013 & -0.501322 \tabularnewline
185 & 7 & 9.15647 & -2.15647 \tabularnewline
186 & 3 & 4.24013 & -1.24013 \tabularnewline
187 & 6 & 5.80016 & 0.199839 \tabularnewline
188 & 7 & 5.06749 & 1.93251 \tabularnewline
189 & 10 & 10.6725 & -0.672465 \tabularnewline
190 & 7 & 11.9943 & -4.99431 \tabularnewline
191 & 3.5 & 2.98703 & 0.512967 \tabularnewline
192 & 8 & 4.96749 & 3.03251 \tabularnewline
193 & 10 & 11.885 & -1.88498 \tabularnewline
194 & 5.5 & 5.83657 & -0.336572 \tabularnewline
195 & 6 & 5.80746 & 0.192538 \tabularnewline
196 & 6.5 & 4.73018 & 1.76982 \tabularnewline
197 & 6.5 & 4.89342 & 1.60658 \tabularnewline
198 & 8.5 & 10.3861 & -1.88614 \tabularnewline
199 & 4 & 2.87797 & 1.12203 \tabularnewline
200 & 9.5 & 7.40479 & 2.09521 \tabularnewline
201 & 8 & 5.94298 & 2.05702 \tabularnewline
202 & 8.5 & 11.4021 & -2.90213 \tabularnewline
203 & 5.5 & 5.4905 & 0.00949641 \tabularnewline
204 & 7 & 4.35026 & 2.64974 \tabularnewline
205 & 9 & 8.82167 & 0.178326 \tabularnewline
206 & 8 & 6.43944 & 1.56056 \tabularnewline
207 & 10 & 7.97007 & 2.02993 \tabularnewline
208 & 8 & 9.19627 & -1.19627 \tabularnewline
209 & 6 & 5.53419 & 0.465808 \tabularnewline
210 & 8 & 10.419 & -2.419 \tabularnewline
211 & 5 & 2.00737 & 2.99263 \tabularnewline
212 & 9 & 10.4371 & -1.43713 \tabularnewline
213 & 4.5 & 0.805338 & 3.69466 \tabularnewline
214 & 8.5 & 6.84353 & 1.65647 \tabularnewline
215 & 7 & 6.63562 & 0.364384 \tabularnewline
216 & 9.5 & 8.72017 & 0.779827 \tabularnewline
217 & 8.5 & 5.72194 & 2.77806 \tabularnewline
218 & 7.5 & 7.49361 & 0.00639207 \tabularnewline
219 & 7.5 & 9.59858 & -2.09858 \tabularnewline
220 & 5 & 4.41609 & 0.583912 \tabularnewline
221 & 7 & 6.84637 & 0.15363 \tabularnewline
222 & 8 & 9.62656 & -1.62656 \tabularnewline
223 & 5.5 & 4.25658 & 1.24342 \tabularnewline
224 & 8.5 & 7.81661 & 0.683389 \tabularnewline
225 & 7.5 & 6.29184 & 1.20816 \tabularnewline
226 & 9.5 & 7.91812 & 1.58188 \tabularnewline
227 & 7 & 6.70205 & 0.297947 \tabularnewline
228 & 8 & 8.1446 & -0.1446 \tabularnewline
229 & 8.5 & 10.4461 & -1.9461 \tabularnewline
230 & 3.5 & 3.26413 & 0.235872 \tabularnewline
231 & 6.5 & 8.46849 & -1.96849 \tabularnewline
232 & 6.5 & 4.06965 & 2.43035 \tabularnewline
233 & 10.5 & 9.47817 & 1.02183 \tabularnewline
234 & 8.5 & 8.99647 & -0.49647 \tabularnewline
235 & 8 & 4.23119 & 3.76881 \tabularnewline
236 & 10 & 8.31485 & 1.68515 \tabularnewline
237 & 10 & 9.6367 & 0.363304 \tabularnewline
238 & 9.5 & 9.64602 & -0.146022 \tabularnewline
239 & 9 & 7.5431 & 1.4569 \tabularnewline
240 & 10 & 8.77782 & 1.22218 \tabularnewline
241 & 7.5 & 11.0329 & -3.53288 \tabularnewline
242 & 4.5 & 5.97168 & -1.47168 \tabularnewline
243 & 4.5 & 9.37257 & -4.87257 \tabularnewline
244 & 0.5 & 0.235549 & 0.264451 \tabularnewline
245 & 6.5 & 10.5991 & -4.09905 \tabularnewline
246 & 4.5 & 5.65855 & -1.15855 \tabularnewline
247 & 5.5 & 8.309 & -2.809 \tabularnewline
248 & 5 & 6.48972 & -1.48972 \tabularnewline
249 & 6 & 9.82765 & -3.82765 \tabularnewline
250 & 4 & 3.38767 & 0.612326 \tabularnewline
251 & 8 & 6.56317 & 1.43683 \tabularnewline
252 & 10.5 & 10.8684 & -0.368414 \tabularnewline
253 & 8.5 & 7.6661 & 0.833903 \tabularnewline
254 & 6.5 & 5.51681 & 0.98319 \tabularnewline
255 & 8 & 8.19231 & -0.192308 \tabularnewline
256 & 8.5 & 11.7054 & -3.20545 \tabularnewline
257 & 5.5 & 7.21096 & -1.71096 \tabularnewline
258 & 7 & 10.1914 & -3.19142 \tabularnewline
259 & 5 & 9.70074 & -4.70074 \tabularnewline
260 & 3.5 & 5.81798 & -2.31798 \tabularnewline
261 & 5 & 2.67774 & 2.32226 \tabularnewline
262 & 9 & 7.92001 & 1.07999 \tabularnewline
263 & 8.5 & 11.534 & -3.03396 \tabularnewline
264 & 5 & 3.13893 & 1.86107 \tabularnewline
265 & 9.5 & 12.4821 & -2.98209 \tabularnewline
266 & 3 & 8.34507 & -5.34507 \tabularnewline
267 & 1.5 & 2.63804 & -1.13804 \tabularnewline
268 & 6 & 13.1762 & -7.17624 \tabularnewline
269 & 0.5 & -0.264262 & 0.764262 \tabularnewline
270 & 6.5 & 5.02872 & 1.47128 \tabularnewline
271 & 7.5 & 9.36283 & -1.86283 \tabularnewline
272 & 4.5 & 4.09284 & 0.407163 \tabularnewline
273 & 8 & 7.13103 & 0.868969 \tabularnewline
274 & 9 & 8.50305 & 0.496948 \tabularnewline
275 & 7.5 & 5.40013 & 2.09987 \tabularnewline
276 & 8.5 & 10.596 & -2.09604 \tabularnewline
277 & 7 & 5.26017 & 1.73983 \tabularnewline
278 & 9.5 & 8.81967 & 0.680331 \tabularnewline
279 & 6.5 & 3.72108 & 2.77892 \tabularnewline
280 & 9.5 & 10.4756 & -0.975624 \tabularnewline
281 & 6 & 5.7179 & 0.282099 \tabularnewline
282 & 8 & 7.03975 & 0.960254 \tabularnewline
283 & 9.5 & 9.60359 & -0.103585 \tabularnewline
284 & 8 & 7.29658 & 0.703422 \tabularnewline
285 & 8 & 7.24294 & 0.757062 \tabularnewline
286 & 9 & 8.54907 & 0.450927 \tabularnewline
287 & 5 & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268469&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]7.5[/C][C]3.52474[/C][C]3.97526[/C][/ROW]
[ROW][C]2[/C][C]2.5[/C][C]3.39745[/C][C]-0.897455[/C][/ROW]
[ROW][C]3[/C][C]6[/C][C]4.47174[/C][C]1.52826[/C][/ROW]
[ROW][C]4[/C][C]6.5[/C][C]4.54191[/C][C]1.95809[/C][/ROW]
[ROW][C]5[/C][C]1[/C][C]4.41049[/C][C]-3.41049[/C][/ROW]
[ROW][C]6[/C][C]1[/C][C]3.81944[/C][C]-2.81944[/C][/ROW]
[ROW][C]7[/C][C]5.5[/C][C]5.08565[/C][C]0.414345[/C][/ROW]
[ROW][C]8[/C][C]8.5[/C][C]4.58889[/C][C]3.91111[/C][/ROW]
[ROW][C]9[/C][C]6.5[/C][C]4.9168[/C][C]1.5832[/C][/ROW]
[ROW][C]10[/C][C]4.5[/C][C]4.34847[/C][C]0.151529[/C][/ROW]
[ROW][C]11[/C][C]2[/C][C]4.4056[/C][C]-2.4056[/C][/ROW]
[ROW][C]12[/C][C]5[/C][C]4.76224[/C][C]0.237755[/C][/ROW]
[ROW][C]13[/C][C]0.5[/C][C]4.01608[/C][C]-3.51608[/C][/ROW]
[ROW][C]14[/C][C]5[/C][C]3.81884[/C][C]1.18116[/C][/ROW]
[ROW][C]15[/C][C]5[/C][C]4.88815[/C][C]0.111851[/C][/ROW]
[ROW][C]16[/C][C]2.5[/C][C]1.60915[/C][C]0.89085[/C][/ROW]
[ROW][C]17[/C][C]5[/C][C]4.67751[/C][C]0.322486[/C][/ROW]
[ROW][C]18[/C][C]5.5[/C][C]4.58787[/C][C]0.912133[/C][/ROW]
[ROW][C]19[/C][C]3.5[/C][C]4.00152[/C][C]-0.50152[/C][/ROW]
[ROW][C]20[/C][C]3[/C][C]4.95854[/C][C]-1.95854[/C][/ROW]
[ROW][C]21[/C][C]4[/C][C]4.51792[/C][C]-0.517917[/C][/ROW]
[ROW][C]22[/C][C]0.5[/C][C]4.23579[/C][C]-3.73579[/C][/ROW]
[ROW][C]23[/C][C]6.5[/C][C]4.97082[/C][C]1.52918[/C][/ROW]
[ROW][C]24[/C][C]4.5[/C][C]4.5365[/C][C]-0.0365018[/C][/ROW]
[ROW][C]25[/C][C]7.5[/C][C]4.7231[/C][C]2.7769[/C][/ROW]
[ROW][C]26[/C][C]5.5[/C][C]4.47027[/C][C]1.02973[/C][/ROW]
[ROW][C]27[/C][C]4[/C][C]5.37611[/C][C]-1.37611[/C][/ROW]
[ROW][C]28[/C][C]7.5[/C][C]6.45847[/C][C]1.04153[/C][/ROW]
[ROW][C]29[/C][C]7[/C][C]5.06623[/C][C]1.93377[/C][/ROW]
[ROW][C]30[/C][C]4[/C][C]4.32974[/C][C]-0.329737[/C][/ROW]
[ROW][C]31[/C][C]5.5[/C][C]4.61117[/C][C]0.888827[/C][/ROW]
[ROW][C]32[/C][C]2.5[/C][C]4.27787[/C][C]-1.77787[/C][/ROW]
[ROW][C]33[/C][C]5.5[/C][C]4.75151[/C][C]0.748488[/C][/ROW]
[ROW][C]34[/C][C]0.5[/C][C]4.18451[/C][C]-3.68451[/C][/ROW]
[ROW][C]35[/C][C]3.5[/C][C]3.89299[/C][C]-0.392987[/C][/ROW]
[ROW][C]36[/C][C]2.5[/C][C]5.24717[/C][C]-2.74717[/C][/ROW]
[ROW][C]37[/C][C]4.5[/C][C]4.9105[/C][C]-0.410501[/C][/ROW]
[ROW][C]38[/C][C]4.5[/C][C]4.08415[/C][C]0.41585[/C][/ROW]
[ROW][C]39[/C][C]4.5[/C][C]4.62493[/C][C]-0.124934[/C][/ROW]
[ROW][C]40[/C][C]6[/C][C]5.14035[/C][C]0.859647[/C][/ROW]
[ROW][C]41[/C][C]2.5[/C][C]4.98489[/C][C]-2.48489[/C][/ROW]
[ROW][C]42[/C][C]5[/C][C]5.43581[/C][C]-0.435811[/C][/ROW]
[ROW][C]43[/C][C]0[/C][C]4.64289[/C][C]-4.64289[/C][/ROW]
[ROW][C]44[/C][C]5[/C][C]4.75484[/C][C]0.245159[/C][/ROW]
[ROW][C]45[/C][C]6.5[/C][C]5.05562[/C][C]1.44438[/C][/ROW]
[ROW][C]46[/C][C]5[/C][C]4.4181[/C][C]0.581897[/C][/ROW]
[ROW][C]47[/C][C]6[/C][C]5.09803[/C][C]0.901967[/C][/ROW]
[ROW][C]48[/C][C]4.5[/C][C]5.33665[/C][C]-0.836645[/C][/ROW]
[ROW][C]49[/C][C]5.5[/C][C]4.97593[/C][C]0.524067[/C][/ROW]
[ROW][C]50[/C][C]1[/C][C]5.35032[/C][C]-4.35032[/C][/ROW]
[ROW][C]51[/C][C]7.5[/C][C]3.99544[/C][C]3.50456[/C][/ROW]
[ROW][C]52[/C][C]6[/C][C]4.98954[/C][C]1.01046[/C][/ROW]
[ROW][C]53[/C][C]5[/C][C]5.48722[/C][C]-0.487221[/C][/ROW]
[ROW][C]54[/C][C]1[/C][C]4.68933[/C][C]-3.68933[/C][/ROW]
[ROW][C]55[/C][C]5[/C][C]4.77414[/C][C]0.225856[/C][/ROW]
[ROW][C]56[/C][C]6.5[/C][C]4.16901[/C][C]2.33099[/C][/ROW]
[ROW][C]57[/C][C]7[/C][C]4.88575[/C][C]2.11425[/C][/ROW]
[ROW][C]58[/C][C]4.5[/C][C]4.38428[/C][C]0.115717[/C][/ROW]
[ROW][C]59[/C][C]0[/C][C]4.52497[/C][C]-4.52497[/C][/ROW]
[ROW][C]60[/C][C]8.5[/C][C]4.32303[/C][C]4.17697[/C][/ROW]
[ROW][C]61[/C][C]3.5[/C][C]3.26269[/C][C]0.237307[/C][/ROW]
[ROW][C]62[/C][C]7.5[/C][C]4.56262[/C][C]2.93738[/C][/ROW]
[ROW][C]63[/C][C]3.5[/C][C]4.28546[/C][C]-0.785463[/C][/ROW]
[ROW][C]64[/C][C]6[/C][C]5.22314[/C][C]0.776864[/C][/ROW]
[ROW][C]65[/C][C]1.5[/C][C]5.20505[/C][C]-3.70505[/C][/ROW]
[ROW][C]66[/C][C]9[/C][C]5.73014[/C][C]3.26986[/C][/ROW]
[ROW][C]67[/C][C]3.5[/C][C]4.32277[/C][C]-0.822766[/C][/ROW]
[ROW][C]68[/C][C]3.5[/C][C]4.46787[/C][C]-0.967867[/C][/ROW]
[ROW][C]69[/C][C]4[/C][C]5.72469[/C][C]-1.72469[/C][/ROW]
[ROW][C]70[/C][C]6.5[/C][C]5.38332[/C][C]1.11668[/C][/ROW]
[ROW][C]71[/C][C]7.5[/C][C]5.61198[/C][C]1.88802[/C][/ROW]
[ROW][C]72[/C][C]6[/C][C]4.91362[/C][C]1.08638[/C][/ROW]
[ROW][C]73[/C][C]5[/C][C]5.75232[/C][C]-0.752316[/C][/ROW]
[ROW][C]74[/C][C]5.5[/C][C]4.73039[/C][C]0.769609[/C][/ROW]
[ROW][C]75[/C][C]3.5[/C][C]4.13935[/C][C]-0.639348[/C][/ROW]
[ROW][C]76[/C][C]7.5[/C][C]5.93541[/C][C]1.56459[/C][/ROW]
[ROW][C]77[/C][C]1[/C][C]4.99207[/C][C]-3.99207[/C][/ROW]
[ROW][C]78[/C][C]6.5[/C][C]4.89905[/C][C]1.60095[/C][/ROW]
[ROW][C]79[/C][C]NA[/C][C]NA[/C][C]1.11798[/C][/ROW]
[ROW][C]80[/C][C]6.5[/C][C]4.92233[/C][C]1.57767[/C][/ROW]
[ROW][C]81[/C][C]6.5[/C][C]4.71814[/C][C]1.78186[/C][/ROW]
[ROW][C]82[/C][C]7[/C][C]9.04577[/C][C]-2.04577[/C][/ROW]
[ROW][C]83[/C][C]3.5[/C][C]7.22712[/C][C]-3.72712[/C][/ROW]
[ROW][C]84[/C][C]1.5[/C][C]2.94301[/C][C]-1.44301[/C][/ROW]
[ROW][C]85[/C][C]4[/C][C]1.55357[/C][C]2.44643[/C][/ROW]
[ROW][C]86[/C][C]7.5[/C][C]8.40082[/C][C]-0.900822[/C][/ROW]
[ROW][C]87[/C][C]4.5[/C][C]8.13561[/C][C]-3.63561[/C][/ROW]
[ROW][C]88[/C][C]0[/C][C]2.38379[/C][C]-2.38379[/C][/ROW]
[ROW][C]89[/C][C]3.5[/C][C]3.41443[/C][C]0.0855696[/C][/ROW]
[ROW][C]90[/C][C]5.5[/C][C]5.57146[/C][C]-0.0714575[/C][/ROW]
[ROW][C]91[/C][C]5[/C][C]6.39242[/C][C]-1.39242[/C][/ROW]
[ROW][C]92[/C][C]4.5[/C][C]7.24053[/C][C]-2.74053[/C][/ROW]
[ROW][C]93[/C][C]2.5[/C][C]-0.20948[/C][C]2.70948[/C][/ROW]
[ROW][C]94[/C][C]7.5[/C][C]5.44529[/C][C]2.05471[/C][/ROW]
[ROW][C]95[/C][C]7[/C][C]11.7483[/C][C]-4.74833[/C][/ROW]
[ROW][C]96[/C][C]0[/C][C]0.211178[/C][C]-0.211178[/C][/ROW]
[ROW][C]97[/C][C]4.5[/C][C]6.46388[/C][C]-1.96388[/C][/ROW]
[ROW][C]98[/C][C]3[/C][C]7.01245[/C][C]-4.01245[/C][/ROW]
[ROW][C]99[/C][C]1.5[/C][C]2.72479[/C][C]-1.22479[/C][/ROW]
[ROW][C]100[/C][C]3.5[/C][C]5.22116[/C][C]-1.72116[/C][/ROW]
[ROW][C]101[/C][C]2.5[/C][C]2.13226[/C][C]0.36774[/C][/ROW]
[ROW][C]102[/C][C]5.5[/C][C]2.58074[/C][C]2.91926[/C][/ROW]
[ROW][C]103[/C][C]8[/C][C]13.0043[/C][C]-5.00433[/C][/ROW]
[ROW][C]104[/C][C]1[/C][C]0.897798[/C][C]0.102202[/C][/ROW]
[ROW][C]105[/C][C]5[/C][C]5.47294[/C][C]-0.472943[/C][/ROW]
[ROW][C]106[/C][C]4.5[/C][C]6.06885[/C][C]-1.56885[/C][/ROW]
[ROW][C]107[/C][C]3[/C][C]5.72802[/C][C]-2.72802[/C][/ROW]
[ROW][C]108[/C][C]3[/C][C]0.676221[/C][C]2.32378[/C][/ROW]
[ROW][C]109[/C][C]8[/C][C]10.6223[/C][C]-2.62226[/C][/ROW]
[ROW][C]110[/C][C]2.5[/C][C]1.39675[/C][C]1.10325[/C][/ROW]
[ROW][C]111[/C][C]7[/C][C]11.3431[/C][C]-4.34308[/C][/ROW]
[ROW][C]112[/C][C]0[/C][C]3.84104[/C][C]-3.84104[/C][/ROW]
[ROW][C]113[/C][C]1[/C][C]3.16201[/C][C]-2.16201[/C][/ROW]
[ROW][C]114[/C][C]3.5[/C][C]3.46504[/C][C]0.0349604[/C][/ROW]
[ROW][C]115[/C][C]5.5[/C][C]4.92986[/C][C]0.570136[/C][/ROW]
[ROW][C]116[/C][C]5.5[/C][C]8.98414[/C][C]-3.48414[/C][/ROW]
[ROW][C]117[/C][C]0.5[/C][C]-1.66134[/C][C]2.16134[/C][/ROW]
[ROW][C]118[/C][C]7.5[/C][C]5.9147[/C][C]1.5853[/C][/ROW]
[ROW][C]119[/C][C]9[/C][C]6.39516[/C][C]2.60484[/C][/ROW]
[ROW][C]120[/C][C]9.5[/C][C]7.82491[/C][C]1.67509[/C][/ROW]
[ROW][C]121[/C][C]8.5[/C][C]6.66807[/C][C]1.83193[/C][/ROW]
[ROW][C]122[/C][C]7[/C][C]6.452[/C][C]0.547997[/C][/ROW]
[ROW][C]123[/C][C]8[/C][C]5.46133[/C][C]2.53867[/C][/ROW]
[ROW][C]124[/C][C]10[/C][C]10.4707[/C][C]-0.470654[/C][/ROW]
[ROW][C]125[/C][C]7[/C][C]3.1765[/C][C]3.8235[/C][/ROW]
[ROW][C]126[/C][C]8.5[/C][C]7.39747[/C][C]1.10253[/C][/ROW]
[ROW][C]127[/C][C]9[/C][C]4.44037[/C][C]4.55963[/C][/ROW]
[ROW][C]128[/C][C]9.5[/C][C]11.3418[/C][C]-1.84178[/C][/ROW]
[ROW][C]129[/C][C]4[/C][C]3.85111[/C][C]0.14889[/C][/ROW]
[ROW][C]130[/C][C]6[/C][C]4.79366[/C][C]1.20634[/C][/ROW]
[ROW][C]131[/C][C]8[/C][C]9.4275[/C][C]-1.4275[/C][/ROW]
[ROW][C]132[/C][C]5.5[/C][C]3.95342[/C][C]1.54658[/C][/ROW]
[ROW][C]133[/C][C]9.5[/C][C]7.88841[/C][C]1.61159[/C][/ROW]
[ROW][C]134[/C][C]7.5[/C][C]7.13069[/C][C]0.369312[/C][/ROW]
[ROW][C]135[/C][C]7[/C][C]6.95253[/C][C]0.0474664[/C][/ROW]
[ROW][C]136[/C][C]7.5[/C][C]5.62047[/C][C]1.87953[/C][/ROW]
[ROW][C]137[/C][C]8[/C][C]8.06683[/C][C]-0.0668315[/C][/ROW]
[ROW][C]138[/C][C]7[/C][C]5.12252[/C][C]1.87748[/C][/ROW]
[ROW][C]139[/C][C]7[/C][C]7.27296[/C][C]-0.272963[/C][/ROW]
[ROW][C]140[/C][C]6[/C][C]2.48256[/C][C]3.51744[/C][/ROW]
[ROW][C]141[/C][C]10[/C][C]13.3039[/C][C]-3.30388[/C][/ROW]
[ROW][C]142[/C][C]2.5[/C][C]1.54668[/C][C]0.953319[/C][/ROW]
[ROW][C]143[/C][C]9[/C][C]8.0394[/C][C]0.960596[/C][/ROW]
[ROW][C]144[/C][C]8[/C][C]7.38256[/C][C]0.617443[/C][/ROW]
[ROW][C]145[/C][C]6[/C][C]5.37057[/C][C]0.629425[/C][/ROW]
[ROW][C]146[/C][C]8.5[/C][C]10.3799[/C][C]-1.8799[/C][/ROW]
[ROW][C]147[/C][C]6[/C][C]4.56444[/C][C]1.43556[/C][/ROW]
[ROW][C]148[/C][C]9[/C][C]7.63673[/C][C]1.36327[/C][/ROW]
[ROW][C]149[/C][C]8[/C][C]7.17493[/C][C]0.825074[/C][/ROW]
[ROW][C]150[/C][C]8[/C][C]6.59242[/C][C]1.40758[/C][/ROW]
[ROW][C]151[/C][C]9[/C][C]10.614[/C][C]-1.61401[/C][/ROW]
[ROW][C]152[/C][C]5.5[/C][C]6.44108[/C][C]-0.941084[/C][/ROW]
[ROW][C]153[/C][C]5[/C][C]4.60379[/C][C]0.396208[/C][/ROW]
[ROW][C]154[/C][C]7[/C][C]9.4545[/C][C]-2.4545[/C][/ROW]
[ROW][C]155[/C][C]5.5[/C][C]4.46383[/C][C]1.03617[/C][/ROW]
[ROW][C]156[/C][C]9[/C][C]14.1195[/C][C]-5.1195[/C][/ROW]
[ROW][C]157[/C][C]2[/C][C]0.345177[/C][C]1.65482[/C][/ROW]
[ROW][C]158[/C][C]8.5[/C][C]7.49181[/C][C]1.00819[/C][/ROW]
[ROW][C]159[/C][C]9[/C][C]7.76818[/C][C]1.23182[/C][/ROW]
[ROW][C]160[/C][C]8.5[/C][C]5.03177[/C][C]3.46823[/C][/ROW]
[ROW][C]161[/C][C]9[/C][C]7.56996[/C][C]1.43004[/C][/ROW]
[ROW][C]162[/C][C]7.5[/C][C]5.61249[/C][C]1.88751[/C][/ROW]
[ROW][C]163[/C][C]10[/C][C]7.16818[/C][C]2.83182[/C][/ROW]
[ROW][C]164[/C][C]9[/C][C]8.20637[/C][C]0.793626[/C][/ROW]
[ROW][C]165[/C][C]7.5[/C][C]7.28248[/C][C]0.217522[/C][/ROW]
[ROW][C]166[/C][C]6[/C][C]3.04136[/C][C]2.95864[/C][/ROW]
[ROW][C]167[/C][C]10.5[/C][C]9.06295[/C][C]1.43705[/C][/ROW]
[ROW][C]168[/C][C]8.5[/C][C]8.38098[/C][C]0.11902[/C][/ROW]
[ROW][C]169[/C][C]8[/C][C]4.065[/C][C]3.935[/C][/ROW]
[ROW][C]170[/C][C]10[/C][C]7.8078[/C][C]2.1922[/C][/ROW]
[ROW][C]171[/C][C]10.5[/C][C]8.82183[/C][C]1.67817[/C][/ROW]
[ROW][C]172[/C][C]6.5[/C][C]5.20575[/C][C]1.29425[/C][/ROW]
[ROW][C]173[/C][C]9.5[/C][C]7.26144[/C][C]2.23856[/C][/ROW]
[ROW][C]174[/C][C]8.5[/C][C]8.00371[/C][C]0.496287[/C][/ROW]
[ROW][C]175[/C][C]7.5[/C][C]8.70052[/C][C]-1.20052[/C][/ROW]
[ROW][C]176[/C][C]5[/C][C]4.63461[/C][C]0.365387[/C][/ROW]
[ROW][C]177[/C][C]8[/C][C]5.35647[/C][C]2.64353[/C][/ROW]
[ROW][C]178[/C][C]10[/C][C]9.9165[/C][C]0.0834994[/C][/ROW]
[ROW][C]179[/C][C]7[/C][C]6.34244[/C][C]0.657555[/C][/ROW]
[ROW][C]180[/C][C]7.5[/C][C]6.85177[/C][C]0.648229[/C][/ROW]
[ROW][C]181[/C][C]7.5[/C][C]5.39378[/C][C]2.10622[/C][/ROW]
[ROW][C]182[/C][C]9.5[/C][C]10.3742[/C][C]-0.874234[/C][/ROW]
[ROW][C]183[/C][C]6[/C][C]4.02086[/C][C]1.97914[/C][/ROW]
[ROW][C]184[/C][C]10[/C][C]10.5013[/C][C]-0.501322[/C][/ROW]
[ROW][C]185[/C][C]7[/C][C]9.15647[/C][C]-2.15647[/C][/ROW]
[ROW][C]186[/C][C]3[/C][C]4.24013[/C][C]-1.24013[/C][/ROW]
[ROW][C]187[/C][C]6[/C][C]5.80016[/C][C]0.199839[/C][/ROW]
[ROW][C]188[/C][C]7[/C][C]5.06749[/C][C]1.93251[/C][/ROW]
[ROW][C]189[/C][C]10[/C][C]10.6725[/C][C]-0.672465[/C][/ROW]
[ROW][C]190[/C][C]7[/C][C]11.9943[/C][C]-4.99431[/C][/ROW]
[ROW][C]191[/C][C]3.5[/C][C]2.98703[/C][C]0.512967[/C][/ROW]
[ROW][C]192[/C][C]8[/C][C]4.96749[/C][C]3.03251[/C][/ROW]
[ROW][C]193[/C][C]10[/C][C]11.885[/C][C]-1.88498[/C][/ROW]
[ROW][C]194[/C][C]5.5[/C][C]5.83657[/C][C]-0.336572[/C][/ROW]
[ROW][C]195[/C][C]6[/C][C]5.80746[/C][C]0.192538[/C][/ROW]
[ROW][C]196[/C][C]6.5[/C][C]4.73018[/C][C]1.76982[/C][/ROW]
[ROW][C]197[/C][C]6.5[/C][C]4.89342[/C][C]1.60658[/C][/ROW]
[ROW][C]198[/C][C]8.5[/C][C]10.3861[/C][C]-1.88614[/C][/ROW]
[ROW][C]199[/C][C]4[/C][C]2.87797[/C][C]1.12203[/C][/ROW]
[ROW][C]200[/C][C]9.5[/C][C]7.40479[/C][C]2.09521[/C][/ROW]
[ROW][C]201[/C][C]8[/C][C]5.94298[/C][C]2.05702[/C][/ROW]
[ROW][C]202[/C][C]8.5[/C][C]11.4021[/C][C]-2.90213[/C][/ROW]
[ROW][C]203[/C][C]5.5[/C][C]5.4905[/C][C]0.00949641[/C][/ROW]
[ROW][C]204[/C][C]7[/C][C]4.35026[/C][C]2.64974[/C][/ROW]
[ROW][C]205[/C][C]9[/C][C]8.82167[/C][C]0.178326[/C][/ROW]
[ROW][C]206[/C][C]8[/C][C]6.43944[/C][C]1.56056[/C][/ROW]
[ROW][C]207[/C][C]10[/C][C]7.97007[/C][C]2.02993[/C][/ROW]
[ROW][C]208[/C][C]8[/C][C]9.19627[/C][C]-1.19627[/C][/ROW]
[ROW][C]209[/C][C]6[/C][C]5.53419[/C][C]0.465808[/C][/ROW]
[ROW][C]210[/C][C]8[/C][C]10.419[/C][C]-2.419[/C][/ROW]
[ROW][C]211[/C][C]5[/C][C]2.00737[/C][C]2.99263[/C][/ROW]
[ROW][C]212[/C][C]9[/C][C]10.4371[/C][C]-1.43713[/C][/ROW]
[ROW][C]213[/C][C]4.5[/C][C]0.805338[/C][C]3.69466[/C][/ROW]
[ROW][C]214[/C][C]8.5[/C][C]6.84353[/C][C]1.65647[/C][/ROW]
[ROW][C]215[/C][C]7[/C][C]6.63562[/C][C]0.364384[/C][/ROW]
[ROW][C]216[/C][C]9.5[/C][C]8.72017[/C][C]0.779827[/C][/ROW]
[ROW][C]217[/C][C]8.5[/C][C]5.72194[/C][C]2.77806[/C][/ROW]
[ROW][C]218[/C][C]7.5[/C][C]7.49361[/C][C]0.00639207[/C][/ROW]
[ROW][C]219[/C][C]7.5[/C][C]9.59858[/C][C]-2.09858[/C][/ROW]
[ROW][C]220[/C][C]5[/C][C]4.41609[/C][C]0.583912[/C][/ROW]
[ROW][C]221[/C][C]7[/C][C]6.84637[/C][C]0.15363[/C][/ROW]
[ROW][C]222[/C][C]8[/C][C]9.62656[/C][C]-1.62656[/C][/ROW]
[ROW][C]223[/C][C]5.5[/C][C]4.25658[/C][C]1.24342[/C][/ROW]
[ROW][C]224[/C][C]8.5[/C][C]7.81661[/C][C]0.683389[/C][/ROW]
[ROW][C]225[/C][C]7.5[/C][C]6.29184[/C][C]1.20816[/C][/ROW]
[ROW][C]226[/C][C]9.5[/C][C]7.91812[/C][C]1.58188[/C][/ROW]
[ROW][C]227[/C][C]7[/C][C]6.70205[/C][C]0.297947[/C][/ROW]
[ROW][C]228[/C][C]8[/C][C]8.1446[/C][C]-0.1446[/C][/ROW]
[ROW][C]229[/C][C]8.5[/C][C]10.4461[/C][C]-1.9461[/C][/ROW]
[ROW][C]230[/C][C]3.5[/C][C]3.26413[/C][C]0.235872[/C][/ROW]
[ROW][C]231[/C][C]6.5[/C][C]8.46849[/C][C]-1.96849[/C][/ROW]
[ROW][C]232[/C][C]6.5[/C][C]4.06965[/C][C]2.43035[/C][/ROW]
[ROW][C]233[/C][C]10.5[/C][C]9.47817[/C][C]1.02183[/C][/ROW]
[ROW][C]234[/C][C]8.5[/C][C]8.99647[/C][C]-0.49647[/C][/ROW]
[ROW][C]235[/C][C]8[/C][C]4.23119[/C][C]3.76881[/C][/ROW]
[ROW][C]236[/C][C]10[/C][C]8.31485[/C][C]1.68515[/C][/ROW]
[ROW][C]237[/C][C]10[/C][C]9.6367[/C][C]0.363304[/C][/ROW]
[ROW][C]238[/C][C]9.5[/C][C]9.64602[/C][C]-0.146022[/C][/ROW]
[ROW][C]239[/C][C]9[/C][C]7.5431[/C][C]1.4569[/C][/ROW]
[ROW][C]240[/C][C]10[/C][C]8.77782[/C][C]1.22218[/C][/ROW]
[ROW][C]241[/C][C]7.5[/C][C]11.0329[/C][C]-3.53288[/C][/ROW]
[ROW][C]242[/C][C]4.5[/C][C]5.97168[/C][C]-1.47168[/C][/ROW]
[ROW][C]243[/C][C]4.5[/C][C]9.37257[/C][C]-4.87257[/C][/ROW]
[ROW][C]244[/C][C]0.5[/C][C]0.235549[/C][C]0.264451[/C][/ROW]
[ROW][C]245[/C][C]6.5[/C][C]10.5991[/C][C]-4.09905[/C][/ROW]
[ROW][C]246[/C][C]4.5[/C][C]5.65855[/C][C]-1.15855[/C][/ROW]
[ROW][C]247[/C][C]5.5[/C][C]8.309[/C][C]-2.809[/C][/ROW]
[ROW][C]248[/C][C]5[/C][C]6.48972[/C][C]-1.48972[/C][/ROW]
[ROW][C]249[/C][C]6[/C][C]9.82765[/C][C]-3.82765[/C][/ROW]
[ROW][C]250[/C][C]4[/C][C]3.38767[/C][C]0.612326[/C][/ROW]
[ROW][C]251[/C][C]8[/C][C]6.56317[/C][C]1.43683[/C][/ROW]
[ROW][C]252[/C][C]10.5[/C][C]10.8684[/C][C]-0.368414[/C][/ROW]
[ROW][C]253[/C][C]8.5[/C][C]7.6661[/C][C]0.833903[/C][/ROW]
[ROW][C]254[/C][C]6.5[/C][C]5.51681[/C][C]0.98319[/C][/ROW]
[ROW][C]255[/C][C]8[/C][C]8.19231[/C][C]-0.192308[/C][/ROW]
[ROW][C]256[/C][C]8.5[/C][C]11.7054[/C][C]-3.20545[/C][/ROW]
[ROW][C]257[/C][C]5.5[/C][C]7.21096[/C][C]-1.71096[/C][/ROW]
[ROW][C]258[/C][C]7[/C][C]10.1914[/C][C]-3.19142[/C][/ROW]
[ROW][C]259[/C][C]5[/C][C]9.70074[/C][C]-4.70074[/C][/ROW]
[ROW][C]260[/C][C]3.5[/C][C]5.81798[/C][C]-2.31798[/C][/ROW]
[ROW][C]261[/C][C]5[/C][C]2.67774[/C][C]2.32226[/C][/ROW]
[ROW][C]262[/C][C]9[/C][C]7.92001[/C][C]1.07999[/C][/ROW]
[ROW][C]263[/C][C]8.5[/C][C]11.534[/C][C]-3.03396[/C][/ROW]
[ROW][C]264[/C][C]5[/C][C]3.13893[/C][C]1.86107[/C][/ROW]
[ROW][C]265[/C][C]9.5[/C][C]12.4821[/C][C]-2.98209[/C][/ROW]
[ROW][C]266[/C][C]3[/C][C]8.34507[/C][C]-5.34507[/C][/ROW]
[ROW][C]267[/C][C]1.5[/C][C]2.63804[/C][C]-1.13804[/C][/ROW]
[ROW][C]268[/C][C]6[/C][C]13.1762[/C][C]-7.17624[/C][/ROW]
[ROW][C]269[/C][C]0.5[/C][C]-0.264262[/C][C]0.764262[/C][/ROW]
[ROW][C]270[/C][C]6.5[/C][C]5.02872[/C][C]1.47128[/C][/ROW]
[ROW][C]271[/C][C]7.5[/C][C]9.36283[/C][C]-1.86283[/C][/ROW]
[ROW][C]272[/C][C]4.5[/C][C]4.09284[/C][C]0.407163[/C][/ROW]
[ROW][C]273[/C][C]8[/C][C]7.13103[/C][C]0.868969[/C][/ROW]
[ROW][C]274[/C][C]9[/C][C]8.50305[/C][C]0.496948[/C][/ROW]
[ROW][C]275[/C][C]7.5[/C][C]5.40013[/C][C]2.09987[/C][/ROW]
[ROW][C]276[/C][C]8.5[/C][C]10.596[/C][C]-2.09604[/C][/ROW]
[ROW][C]277[/C][C]7[/C][C]5.26017[/C][C]1.73983[/C][/ROW]
[ROW][C]278[/C][C]9.5[/C][C]8.81967[/C][C]0.680331[/C][/ROW]
[ROW][C]279[/C][C]6.5[/C][C]3.72108[/C][C]2.77892[/C][/ROW]
[ROW][C]280[/C][C]9.5[/C][C]10.4756[/C][C]-0.975624[/C][/ROW]
[ROW][C]281[/C][C]6[/C][C]5.7179[/C][C]0.282099[/C][/ROW]
[ROW][C]282[/C][C]8[/C][C]7.03975[/C][C]0.960254[/C][/ROW]
[ROW][C]283[/C][C]9.5[/C][C]9.60359[/C][C]-0.103585[/C][/ROW]
[ROW][C]284[/C][C]8[/C][C]7.29658[/C][C]0.703422[/C][/ROW]
[ROW][C]285[/C][C]8[/C][C]7.24294[/C][C]0.757062[/C][/ROW]
[ROW][C]286[/C][C]9[/C][C]8.54907[/C][C]0.450927[/C][/ROW]
[ROW][C]287[/C][C]5[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268469&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268469&T=4

As an alternative you can also use a QR Code:  
QR Code


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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
17.53.524743.97526
22.53.39745-0.897455
364.471741.52826
46.54.541911.95809
514.41049-3.41049
613.81944-2.81944
75.55.085650.414345
88.54.588893.91111
96.54.91681.5832
104.54.348470.151529
1124.4056-2.4056
1254.762240.237755
130.54.01608-3.51608
1453.818841.18116
1554.888150.111851
162.51.609150.89085
1754.677510.322486
185.54.587870.912133
193.54.00152-0.50152
2034.95854-1.95854
2144.51792-0.517917
220.54.23579-3.73579
236.54.970821.52918
244.54.5365-0.0365018
257.54.72312.7769
265.54.470271.02973
2745.37611-1.37611
287.56.458471.04153
2975.066231.93377
3044.32974-0.329737
315.54.611170.888827
322.54.27787-1.77787
335.54.751510.748488
340.54.18451-3.68451
353.53.89299-0.392987
362.55.24717-2.74717
374.54.9105-0.410501
384.54.084150.41585
394.54.62493-0.124934
4065.140350.859647
412.54.98489-2.48489
4255.43581-0.435811
4304.64289-4.64289
4454.754840.245159
456.55.055621.44438
4654.41810.581897
4765.098030.901967
484.55.33665-0.836645
495.54.975930.524067
5015.35032-4.35032
517.53.995443.50456
5264.989541.01046
5355.48722-0.487221
5414.68933-3.68933
5554.774140.225856
566.54.169012.33099
5774.885752.11425
584.54.384280.115717
5904.52497-4.52497
608.54.323034.17697
613.53.262690.237307
627.54.562622.93738
633.54.28546-0.785463
6465.223140.776864
651.55.20505-3.70505
6695.730143.26986
673.54.32277-0.822766
683.54.46787-0.967867
6945.72469-1.72469
706.55.383321.11668
717.55.611981.88802
7264.913621.08638
7355.75232-0.752316
745.54.730390.769609
753.54.13935-0.639348
767.55.935411.56459
7714.99207-3.99207
786.54.899051.60095
79NANA1.11798
806.54.922331.57767
816.54.718141.78186
8279.04577-2.04577
833.57.22712-3.72712
841.52.94301-1.44301
8541.553572.44643
867.58.40082-0.900822
874.58.13561-3.63561
8802.38379-2.38379
893.53.414430.0855696
905.55.57146-0.0714575
9156.39242-1.39242
924.57.24053-2.74053
932.5-0.209482.70948
947.55.445292.05471
95711.7483-4.74833
9600.211178-0.211178
974.56.46388-1.96388
9837.01245-4.01245
991.52.72479-1.22479
1003.55.22116-1.72116
1012.52.132260.36774
1025.52.580742.91926
103813.0043-5.00433
10410.8977980.102202
10555.47294-0.472943
1064.56.06885-1.56885
10735.72802-2.72802
10830.6762212.32378
109810.6223-2.62226
1102.51.396751.10325
111711.3431-4.34308
11203.84104-3.84104
11313.16201-2.16201
1143.53.465040.0349604
1155.54.929860.570136
1165.58.98414-3.48414
1170.5-1.661342.16134
1187.55.91471.5853
11996.395162.60484
1209.57.824911.67509
1218.56.668071.83193
12276.4520.547997
12385.461332.53867
1241010.4707-0.470654
12573.17653.8235
1268.57.397471.10253
12794.440374.55963
1289.511.3418-1.84178
12943.851110.14889
13064.793661.20634
13189.4275-1.4275
1325.53.953421.54658
1339.57.888411.61159
1347.57.130690.369312
13576.952530.0474664
1367.55.620471.87953
13788.06683-0.0668315
13875.122521.87748
13977.27296-0.272963
14062.482563.51744
1411013.3039-3.30388
1422.51.546680.953319
14398.03940.960596
14487.382560.617443
14565.370570.629425
1468.510.3799-1.8799
14764.564441.43556
14897.636731.36327
14987.174930.825074
15086.592421.40758
151910.614-1.61401
1525.56.44108-0.941084
15354.603790.396208
15479.4545-2.4545
1555.54.463831.03617
156914.1195-5.1195
15720.3451771.65482
1588.57.491811.00819
15997.768181.23182
1608.55.031773.46823
16197.569961.43004
1627.55.612491.88751
163107.168182.83182
16498.206370.793626
1657.57.282480.217522
16663.041362.95864
16710.59.062951.43705
1688.58.380980.11902
16984.0653.935
170107.80782.1922
17110.58.821831.67817
1726.55.205751.29425
1739.57.261442.23856
1748.58.003710.496287
1757.58.70052-1.20052
17654.634610.365387
17785.356472.64353
178109.91650.0834994
17976.342440.657555
1807.56.851770.648229
1817.55.393782.10622
1829.510.3742-0.874234
18364.020861.97914
1841010.5013-0.501322
18579.15647-2.15647
18634.24013-1.24013
18765.800160.199839
18875.067491.93251
1891010.6725-0.672465
190711.9943-4.99431
1913.52.987030.512967
19284.967493.03251
1931011.885-1.88498
1945.55.83657-0.336572
19565.807460.192538
1966.54.730181.76982
1976.54.893421.60658
1988.510.3861-1.88614
19942.877971.12203
2009.57.404792.09521
20185.942982.05702
2028.511.4021-2.90213
2035.55.49050.00949641
20474.350262.64974
20598.821670.178326
20686.439441.56056
207107.970072.02993
20889.19627-1.19627
20965.534190.465808
210810.419-2.419
21152.007372.99263
212910.4371-1.43713
2134.50.8053383.69466
2148.56.843531.65647
21576.635620.364384
2169.58.720170.779827
2178.55.721942.77806
2187.57.493610.00639207
2197.59.59858-2.09858
22054.416090.583912
22176.846370.15363
22289.62656-1.62656
2235.54.256581.24342
2248.57.816610.683389
2257.56.291841.20816
2269.57.918121.58188
22776.702050.297947
22888.1446-0.1446
2298.510.4461-1.9461
2303.53.264130.235872
2316.58.46849-1.96849
2326.54.069652.43035
23310.59.478171.02183
2348.58.99647-0.49647
23584.231193.76881
236108.314851.68515
237109.63670.363304
2389.59.64602-0.146022
23997.54311.4569
240108.777821.22218
2417.511.0329-3.53288
2424.55.97168-1.47168
2434.59.37257-4.87257
2440.50.2355490.264451
2456.510.5991-4.09905
2464.55.65855-1.15855
2475.58.309-2.809
24856.48972-1.48972
24969.82765-3.82765
25043.387670.612326
25186.563171.43683
25210.510.8684-0.368414
2538.57.66610.833903
2546.55.516810.98319
25588.19231-0.192308
2568.511.7054-3.20545
2575.57.21096-1.71096
258710.1914-3.19142
25959.70074-4.70074
2603.55.81798-2.31798
26152.677742.32226
26297.920011.07999
2638.511.534-3.03396
26453.138931.86107
2659.512.4821-2.98209
26638.34507-5.34507
2671.52.63804-1.13804
268613.1762-7.17624
2690.5-0.2642620.764262
2706.55.028721.47128
2717.59.36283-1.86283
2724.54.092840.407163
27387.131030.868969
27498.503050.496948
2757.55.400132.09987
2768.510.596-2.09604
27775.260171.73983
2789.58.819670.680331
2796.53.721082.77892
2809.510.4756-0.975624
28165.71790.282099
28287.039750.960254
2839.59.60359-0.103585
28487.296580.703422
28587.242940.757062
28698.549070.450927
2875NANA






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.61590.76820.3841
90.4872790.9745570.512721
100.878090.2438210.12191
110.8994480.2011030.100552
120.8434390.3131230.156561
130.8034280.3931440.196572
140.8894880.2210230.110512
150.8461810.3076390.153819
160.8556660.2886680.144334
170.8084790.3830430.191521
180.7667680.4664630.233232
190.7030810.5938380.296919
200.6621080.6757840.337892
210.5922580.8154830.407742
220.5643380.8713240.435662
230.6440020.7119950.355998
240.5818460.8363070.418154
250.7272940.5454120.272706
260.6921280.6157440.307872
270.646380.707240.35362
280.5928760.8142480.407124
290.5997030.8005950.400297
300.5406450.918710.459355
310.4949570.9899150.505043
320.4676410.9352810.532359
330.4207080.8414160.579292
340.473830.947660.52617
350.4208960.8417920.579104
360.4560550.912110.543945
370.4039040.8078070.596096
380.367080.7341590.63292
390.3230050.6460110.676995
400.2951980.5903950.704802
410.292340.584680.70766
420.2499520.4999030.750048
430.3471290.6942590.652871
440.3188790.6377580.681121
450.3254780.6509570.674522
460.3028560.6057110.697144
470.2839770.5679540.716023
480.2462230.4924460.753777
490.2196780.4393560.780322
500.3016280.6032550.698372
510.4329660.8659330.567034
520.4090270.8180550.590973
530.3661340.7322680.633866
540.4165830.8331650.583417
550.3777140.7554280.622286
560.3845020.7690050.615498
570.4035460.8070910.596454
580.362570.725140.63743
590.4949930.9899850.505007
600.6256430.7487140.374357
610.5870560.8258890.412944
620.6082370.7835270.391763
630.5788340.8423310.421166
640.5476310.9047370.452369
650.6097560.7804890.390244
660.6600480.6799040.339952
670.6331270.7337460.366873
680.5980920.8038150.401908
690.5841410.8317180.415859
700.5493950.901210.450605
710.5434220.9131560.456578
720.5108650.9782690.489135
730.4747420.9494840.525258
740.4424030.8848050.557597
750.4062650.8125290.593735
760.3942140.7884280.605786
770.4537740.9075480.546226
780.4368070.8736140.563193
790.4078030.8156070.592197
800.384450.7688990.61555
810.3643090.7286190.635691
820.3468070.6936130.653193
830.4229730.8459460.577027
840.4062120.8124230.593788
850.4249340.8498690.575066
860.398670.797340.60133
870.3998440.7996870.600156
880.4179340.8358670.582066
890.3820810.7641630.617919
900.3493280.6986560.650672
910.3243910.6487810.675609
920.3353930.6707850.664607
930.3513410.7026830.648659
940.3583390.7166780.641661
950.5234730.9530530.476527
960.4895250.979050.510475
970.4864860.9729730.513514
980.5508030.8983930.449197
990.5307830.9384350.469217
1000.5201090.9597810.479891
1010.4947710.9895420.505229
1020.5461990.9076030.453801
1030.6812190.6375610.318781
1040.6515630.6968740.348437
1050.6236660.7526680.376334
1060.6074410.7851170.392559
1070.6411550.717690.358845
1080.663120.673760.33688
1090.6850660.6298680.314934
1100.6647430.6705150.335257
1110.7441610.5116780.255839
1120.8179820.3640360.182018
1130.8268590.3462810.173141
1140.8091940.3816120.190806
1150.7965620.4068760.203438
1160.8475810.3048370.152419
1170.8602210.2795570.139779
1180.8474570.3050860.152543
1190.8731550.2536890.126845
1200.8551390.2897210.144861
1210.8665990.2668030.133401
1220.847920.3041610.15208
1230.8401320.3197370.159868
1240.8287690.3424620.171231
1250.9078770.1842470.0921234
1260.8935630.2128750.106437
1270.9236810.1526380.0763192
1280.9248530.1502930.0751466
1290.916830.166340.0831702
1300.9060250.187950.0939751
1310.9109390.1781210.0890607
1320.8991250.201750.100875
1330.8944820.2110360.105518
1340.8789320.2421350.121068
1350.8617830.2764330.138217
1360.8574470.2851070.142553
1370.8394730.3210540.160527
1380.8320890.3358210.167911
1390.8156610.3686790.184339
1400.8352230.3295540.164777
1410.8935080.2129840.106492
1420.8774150.2451710.122585
1430.8593770.2812460.140623
1440.843650.3126990.15635
1450.8226760.3546480.177324
1460.8346550.3306910.165345
1470.8163940.3672110.183606
1480.7960840.4078310.203916
1490.7711510.4576980.228849
1500.7487470.5025060.251253
1510.7554140.4891720.244586
1520.7450420.5099150.254958
1530.7185550.562890.281445
1540.7533640.4932710.246636
1550.7265210.5469580.273479
1560.8785530.2428940.121447
1570.865630.2687410.13437
1580.8465670.3068650.153433
1590.8272510.3454990.172749
1600.8462920.3074160.153708
1610.8289030.3421950.171097
1620.8168190.3663620.183181
1630.8193670.3612660.180633
1640.7962150.407570.203785
1650.7755930.4488140.224407
1660.785370.429260.21463
1670.7627490.4745010.237251
1680.737030.5259410.26297
1690.7680950.4638090.231905
1700.7607840.4784310.239216
1710.7393870.5212260.260613
1720.7181980.5636030.281802
1730.7077090.5845820.292291
1740.6769020.6461960.323098
1750.6717960.6564080.328204
1760.6396640.7206710.360336
1770.6393180.7213640.360682
1780.6065950.7868110.393405
1790.5723030.8553950.427697
1800.5374310.9251370.462569
1810.5240510.9518990.475949
1820.5037410.9925170.496259
1830.4930680.9861350.506932
1840.4635510.9271020.536449
1850.4984720.9969440.501528
1860.4885770.9771530.511423
1870.4533330.9066660.546667
1880.4430320.8860640.556968
1890.4176780.8353560.582322
1900.6028130.7943730.397187
1910.5676910.8646190.432309
1920.5860520.8278960.413948
1930.5919530.8160950.408047
1940.5641480.8717040.435852
1950.5302470.9395050.469753
1960.504620.990760.49538
1970.4784130.9568250.521587
1980.5001760.9996480.499824
1990.469640.9392790.53036
2000.4491220.8982430.550878
2010.4297920.8595850.570208
2020.4711750.942350.528825
2030.4361440.8722880.563856
2040.4344950.8689910.565505
2050.3981750.796350.601825
2060.3821870.7643750.617813
2070.3634670.7269350.636533
2080.3438940.6877880.656106
2090.3101750.6203490.689825
2100.3294510.6589010.670549
2110.3405380.6810770.659462
2120.3356040.6712080.664396
2130.3690850.7381690.630915
2140.3467350.6934710.653265
2150.3152240.6304490.684776
2160.2901210.5802420.709879
2170.2992640.5985270.700736
2180.2657790.5315580.734221
2190.2680180.5360350.731982
2200.2414070.4828140.758593
2210.2129230.4258470.787077
2220.2036020.4072050.796398
2230.1891320.3782650.810868
2240.1636610.3273230.836339
2250.1500650.3001310.849935
2260.1360430.2720850.863957
2270.1173280.2346560.882672
2280.1011460.2022910.898854
2290.1002420.2004840.899758
2300.08287470.1657490.917125
2310.07478520.149570.925215
2320.1057090.2114170.894291
2330.09429480.188590.905705
2340.0820470.1640940.917953
2350.1475330.2950670.852467
2360.1764480.3528970.823552
2370.1708940.3417870.829106
2380.1606560.3213110.839344
2390.2282460.4564910.771754
2400.2552340.5104680.744766
2410.2496280.4992550.750372
2420.2180940.4361870.781906
2430.3737410.7474830.626259
2440.3577610.7155220.642239
2450.3635830.7271650.636417
2460.3276350.655270.672365
2470.3036040.6072090.696396
2480.2647890.5295780.735211
2490.2855390.5710780.714461
2500.2481520.4963040.751848
2510.3032160.6064320.696784
2520.303610.6072190.69639
2530.2743880.5487760.725612
2540.2899470.5798930.710053
2550.348090.696180.65191
2560.319120.6382390.68088
2570.3162460.6324910.683754
2580.2769910.5539820.723009
2590.2766890.5533780.723311
2600.2335780.4671550.766422
2610.2878090.5756170.712191
2620.3350070.6700140.664993
2630.2865260.5730520.713474
2640.5420590.9158820.457941
2650.5392670.9214660.460733
2660.6067310.7865370.393269
2670.5317420.9365150.468258
2680.9899020.0201960.010098
2690.9843890.03122120.0156106
2700.9746780.05064340.0253217
2710.9945510.01089750.00544874
2720.992120.01576070.00788037
2730.9826510.03469770.0173489
2740.9628260.07434780.0371739
2750.9378580.1242840.0621421
2760.9708830.05823330.0291167
2770.9260650.147870.0739352
2780.8659850.2680310.134015
2790.9578850.08422940.0421147

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
8 & 0.6159 & 0.7682 & 0.3841 \tabularnewline
9 & 0.487279 & 0.974557 & 0.512721 \tabularnewline
10 & 0.87809 & 0.243821 & 0.12191 \tabularnewline
11 & 0.899448 & 0.201103 & 0.100552 \tabularnewline
12 & 0.843439 & 0.313123 & 0.156561 \tabularnewline
13 & 0.803428 & 0.393144 & 0.196572 \tabularnewline
14 & 0.889488 & 0.221023 & 0.110512 \tabularnewline
15 & 0.846181 & 0.307639 & 0.153819 \tabularnewline
16 & 0.855666 & 0.288668 & 0.144334 \tabularnewline
17 & 0.808479 & 0.383043 & 0.191521 \tabularnewline
18 & 0.766768 & 0.466463 & 0.233232 \tabularnewline
19 & 0.703081 & 0.593838 & 0.296919 \tabularnewline
20 & 0.662108 & 0.675784 & 0.337892 \tabularnewline
21 & 0.592258 & 0.815483 & 0.407742 \tabularnewline
22 & 0.564338 & 0.871324 & 0.435662 \tabularnewline
23 & 0.644002 & 0.711995 & 0.355998 \tabularnewline
24 & 0.581846 & 0.836307 & 0.418154 \tabularnewline
25 & 0.727294 & 0.545412 & 0.272706 \tabularnewline
26 & 0.692128 & 0.615744 & 0.307872 \tabularnewline
27 & 0.64638 & 0.70724 & 0.35362 \tabularnewline
28 & 0.592876 & 0.814248 & 0.407124 \tabularnewline
29 & 0.599703 & 0.800595 & 0.400297 \tabularnewline
30 & 0.540645 & 0.91871 & 0.459355 \tabularnewline
31 & 0.494957 & 0.989915 & 0.505043 \tabularnewline
32 & 0.467641 & 0.935281 & 0.532359 \tabularnewline
33 & 0.420708 & 0.841416 & 0.579292 \tabularnewline
34 & 0.47383 & 0.94766 & 0.52617 \tabularnewline
35 & 0.420896 & 0.841792 & 0.579104 \tabularnewline
36 & 0.456055 & 0.91211 & 0.543945 \tabularnewline
37 & 0.403904 & 0.807807 & 0.596096 \tabularnewline
38 & 0.36708 & 0.734159 & 0.63292 \tabularnewline
39 & 0.323005 & 0.646011 & 0.676995 \tabularnewline
40 & 0.295198 & 0.590395 & 0.704802 \tabularnewline
41 & 0.29234 & 0.58468 & 0.70766 \tabularnewline
42 & 0.249952 & 0.499903 & 0.750048 \tabularnewline
43 & 0.347129 & 0.694259 & 0.652871 \tabularnewline
44 & 0.318879 & 0.637758 & 0.681121 \tabularnewline
45 & 0.325478 & 0.650957 & 0.674522 \tabularnewline
46 & 0.302856 & 0.605711 & 0.697144 \tabularnewline
47 & 0.283977 & 0.567954 & 0.716023 \tabularnewline
48 & 0.246223 & 0.492446 & 0.753777 \tabularnewline
49 & 0.219678 & 0.439356 & 0.780322 \tabularnewline
50 & 0.301628 & 0.603255 & 0.698372 \tabularnewline
51 & 0.432966 & 0.865933 & 0.567034 \tabularnewline
52 & 0.409027 & 0.818055 & 0.590973 \tabularnewline
53 & 0.366134 & 0.732268 & 0.633866 \tabularnewline
54 & 0.416583 & 0.833165 & 0.583417 \tabularnewline
55 & 0.377714 & 0.755428 & 0.622286 \tabularnewline
56 & 0.384502 & 0.769005 & 0.615498 \tabularnewline
57 & 0.403546 & 0.807091 & 0.596454 \tabularnewline
58 & 0.36257 & 0.72514 & 0.63743 \tabularnewline
59 & 0.494993 & 0.989985 & 0.505007 \tabularnewline
60 & 0.625643 & 0.748714 & 0.374357 \tabularnewline
61 & 0.587056 & 0.825889 & 0.412944 \tabularnewline
62 & 0.608237 & 0.783527 & 0.391763 \tabularnewline
63 & 0.578834 & 0.842331 & 0.421166 \tabularnewline
64 & 0.547631 & 0.904737 & 0.452369 \tabularnewline
65 & 0.609756 & 0.780489 & 0.390244 \tabularnewline
66 & 0.660048 & 0.679904 & 0.339952 \tabularnewline
67 & 0.633127 & 0.733746 & 0.366873 \tabularnewline
68 & 0.598092 & 0.803815 & 0.401908 \tabularnewline
69 & 0.584141 & 0.831718 & 0.415859 \tabularnewline
70 & 0.549395 & 0.90121 & 0.450605 \tabularnewline
71 & 0.543422 & 0.913156 & 0.456578 \tabularnewline
72 & 0.510865 & 0.978269 & 0.489135 \tabularnewline
73 & 0.474742 & 0.949484 & 0.525258 \tabularnewline
74 & 0.442403 & 0.884805 & 0.557597 \tabularnewline
75 & 0.406265 & 0.812529 & 0.593735 \tabularnewline
76 & 0.394214 & 0.788428 & 0.605786 \tabularnewline
77 & 0.453774 & 0.907548 & 0.546226 \tabularnewline
78 & 0.436807 & 0.873614 & 0.563193 \tabularnewline
79 & 0.407803 & 0.815607 & 0.592197 \tabularnewline
80 & 0.38445 & 0.768899 & 0.61555 \tabularnewline
81 & 0.364309 & 0.728619 & 0.635691 \tabularnewline
82 & 0.346807 & 0.693613 & 0.653193 \tabularnewline
83 & 0.422973 & 0.845946 & 0.577027 \tabularnewline
84 & 0.406212 & 0.812423 & 0.593788 \tabularnewline
85 & 0.424934 & 0.849869 & 0.575066 \tabularnewline
86 & 0.39867 & 0.79734 & 0.60133 \tabularnewline
87 & 0.399844 & 0.799687 & 0.600156 \tabularnewline
88 & 0.417934 & 0.835867 & 0.582066 \tabularnewline
89 & 0.382081 & 0.764163 & 0.617919 \tabularnewline
90 & 0.349328 & 0.698656 & 0.650672 \tabularnewline
91 & 0.324391 & 0.648781 & 0.675609 \tabularnewline
92 & 0.335393 & 0.670785 & 0.664607 \tabularnewline
93 & 0.351341 & 0.702683 & 0.648659 \tabularnewline
94 & 0.358339 & 0.716678 & 0.641661 \tabularnewline
95 & 0.523473 & 0.953053 & 0.476527 \tabularnewline
96 & 0.489525 & 0.97905 & 0.510475 \tabularnewline
97 & 0.486486 & 0.972973 & 0.513514 \tabularnewline
98 & 0.550803 & 0.898393 & 0.449197 \tabularnewline
99 & 0.530783 & 0.938435 & 0.469217 \tabularnewline
100 & 0.520109 & 0.959781 & 0.479891 \tabularnewline
101 & 0.494771 & 0.989542 & 0.505229 \tabularnewline
102 & 0.546199 & 0.907603 & 0.453801 \tabularnewline
103 & 0.681219 & 0.637561 & 0.318781 \tabularnewline
104 & 0.651563 & 0.696874 & 0.348437 \tabularnewline
105 & 0.623666 & 0.752668 & 0.376334 \tabularnewline
106 & 0.607441 & 0.785117 & 0.392559 \tabularnewline
107 & 0.641155 & 0.71769 & 0.358845 \tabularnewline
108 & 0.66312 & 0.67376 & 0.33688 \tabularnewline
109 & 0.685066 & 0.629868 & 0.314934 \tabularnewline
110 & 0.664743 & 0.670515 & 0.335257 \tabularnewline
111 & 0.744161 & 0.511678 & 0.255839 \tabularnewline
112 & 0.817982 & 0.364036 & 0.182018 \tabularnewline
113 & 0.826859 & 0.346281 & 0.173141 \tabularnewline
114 & 0.809194 & 0.381612 & 0.190806 \tabularnewline
115 & 0.796562 & 0.406876 & 0.203438 \tabularnewline
116 & 0.847581 & 0.304837 & 0.152419 \tabularnewline
117 & 0.860221 & 0.279557 & 0.139779 \tabularnewline
118 & 0.847457 & 0.305086 & 0.152543 \tabularnewline
119 & 0.873155 & 0.253689 & 0.126845 \tabularnewline
120 & 0.855139 & 0.289721 & 0.144861 \tabularnewline
121 & 0.866599 & 0.266803 & 0.133401 \tabularnewline
122 & 0.84792 & 0.304161 & 0.15208 \tabularnewline
123 & 0.840132 & 0.319737 & 0.159868 \tabularnewline
124 & 0.828769 & 0.342462 & 0.171231 \tabularnewline
125 & 0.907877 & 0.184247 & 0.0921234 \tabularnewline
126 & 0.893563 & 0.212875 & 0.106437 \tabularnewline
127 & 0.923681 & 0.152638 & 0.0763192 \tabularnewline
128 & 0.924853 & 0.150293 & 0.0751466 \tabularnewline
129 & 0.91683 & 0.16634 & 0.0831702 \tabularnewline
130 & 0.906025 & 0.18795 & 0.0939751 \tabularnewline
131 & 0.910939 & 0.178121 & 0.0890607 \tabularnewline
132 & 0.899125 & 0.20175 & 0.100875 \tabularnewline
133 & 0.894482 & 0.211036 & 0.105518 \tabularnewline
134 & 0.878932 & 0.242135 & 0.121068 \tabularnewline
135 & 0.861783 & 0.276433 & 0.138217 \tabularnewline
136 & 0.857447 & 0.285107 & 0.142553 \tabularnewline
137 & 0.839473 & 0.321054 & 0.160527 \tabularnewline
138 & 0.832089 & 0.335821 & 0.167911 \tabularnewline
139 & 0.815661 & 0.368679 & 0.184339 \tabularnewline
140 & 0.835223 & 0.329554 & 0.164777 \tabularnewline
141 & 0.893508 & 0.212984 & 0.106492 \tabularnewline
142 & 0.877415 & 0.245171 & 0.122585 \tabularnewline
143 & 0.859377 & 0.281246 & 0.140623 \tabularnewline
144 & 0.84365 & 0.312699 & 0.15635 \tabularnewline
145 & 0.822676 & 0.354648 & 0.177324 \tabularnewline
146 & 0.834655 & 0.330691 & 0.165345 \tabularnewline
147 & 0.816394 & 0.367211 & 0.183606 \tabularnewline
148 & 0.796084 & 0.407831 & 0.203916 \tabularnewline
149 & 0.771151 & 0.457698 & 0.228849 \tabularnewline
150 & 0.748747 & 0.502506 & 0.251253 \tabularnewline
151 & 0.755414 & 0.489172 & 0.244586 \tabularnewline
152 & 0.745042 & 0.509915 & 0.254958 \tabularnewline
153 & 0.718555 & 0.56289 & 0.281445 \tabularnewline
154 & 0.753364 & 0.493271 & 0.246636 \tabularnewline
155 & 0.726521 & 0.546958 & 0.273479 \tabularnewline
156 & 0.878553 & 0.242894 & 0.121447 \tabularnewline
157 & 0.86563 & 0.268741 & 0.13437 \tabularnewline
158 & 0.846567 & 0.306865 & 0.153433 \tabularnewline
159 & 0.827251 & 0.345499 & 0.172749 \tabularnewline
160 & 0.846292 & 0.307416 & 0.153708 \tabularnewline
161 & 0.828903 & 0.342195 & 0.171097 \tabularnewline
162 & 0.816819 & 0.366362 & 0.183181 \tabularnewline
163 & 0.819367 & 0.361266 & 0.180633 \tabularnewline
164 & 0.796215 & 0.40757 & 0.203785 \tabularnewline
165 & 0.775593 & 0.448814 & 0.224407 \tabularnewline
166 & 0.78537 & 0.42926 & 0.21463 \tabularnewline
167 & 0.762749 & 0.474501 & 0.237251 \tabularnewline
168 & 0.73703 & 0.525941 & 0.26297 \tabularnewline
169 & 0.768095 & 0.463809 & 0.231905 \tabularnewline
170 & 0.760784 & 0.478431 & 0.239216 \tabularnewline
171 & 0.739387 & 0.521226 & 0.260613 \tabularnewline
172 & 0.718198 & 0.563603 & 0.281802 \tabularnewline
173 & 0.707709 & 0.584582 & 0.292291 \tabularnewline
174 & 0.676902 & 0.646196 & 0.323098 \tabularnewline
175 & 0.671796 & 0.656408 & 0.328204 \tabularnewline
176 & 0.639664 & 0.720671 & 0.360336 \tabularnewline
177 & 0.639318 & 0.721364 & 0.360682 \tabularnewline
178 & 0.606595 & 0.786811 & 0.393405 \tabularnewline
179 & 0.572303 & 0.855395 & 0.427697 \tabularnewline
180 & 0.537431 & 0.925137 & 0.462569 \tabularnewline
181 & 0.524051 & 0.951899 & 0.475949 \tabularnewline
182 & 0.503741 & 0.992517 & 0.496259 \tabularnewline
183 & 0.493068 & 0.986135 & 0.506932 \tabularnewline
184 & 0.463551 & 0.927102 & 0.536449 \tabularnewline
185 & 0.498472 & 0.996944 & 0.501528 \tabularnewline
186 & 0.488577 & 0.977153 & 0.511423 \tabularnewline
187 & 0.453333 & 0.906666 & 0.546667 \tabularnewline
188 & 0.443032 & 0.886064 & 0.556968 \tabularnewline
189 & 0.417678 & 0.835356 & 0.582322 \tabularnewline
190 & 0.602813 & 0.794373 & 0.397187 \tabularnewline
191 & 0.567691 & 0.864619 & 0.432309 \tabularnewline
192 & 0.586052 & 0.827896 & 0.413948 \tabularnewline
193 & 0.591953 & 0.816095 & 0.408047 \tabularnewline
194 & 0.564148 & 0.871704 & 0.435852 \tabularnewline
195 & 0.530247 & 0.939505 & 0.469753 \tabularnewline
196 & 0.50462 & 0.99076 & 0.49538 \tabularnewline
197 & 0.478413 & 0.956825 & 0.521587 \tabularnewline
198 & 0.500176 & 0.999648 & 0.499824 \tabularnewline
199 & 0.46964 & 0.939279 & 0.53036 \tabularnewline
200 & 0.449122 & 0.898243 & 0.550878 \tabularnewline
201 & 0.429792 & 0.859585 & 0.570208 \tabularnewline
202 & 0.471175 & 0.94235 & 0.528825 \tabularnewline
203 & 0.436144 & 0.872288 & 0.563856 \tabularnewline
204 & 0.434495 & 0.868991 & 0.565505 \tabularnewline
205 & 0.398175 & 0.79635 & 0.601825 \tabularnewline
206 & 0.382187 & 0.764375 & 0.617813 \tabularnewline
207 & 0.363467 & 0.726935 & 0.636533 \tabularnewline
208 & 0.343894 & 0.687788 & 0.656106 \tabularnewline
209 & 0.310175 & 0.620349 & 0.689825 \tabularnewline
210 & 0.329451 & 0.658901 & 0.670549 \tabularnewline
211 & 0.340538 & 0.681077 & 0.659462 \tabularnewline
212 & 0.335604 & 0.671208 & 0.664396 \tabularnewline
213 & 0.369085 & 0.738169 & 0.630915 \tabularnewline
214 & 0.346735 & 0.693471 & 0.653265 \tabularnewline
215 & 0.315224 & 0.630449 & 0.684776 \tabularnewline
216 & 0.290121 & 0.580242 & 0.709879 \tabularnewline
217 & 0.299264 & 0.598527 & 0.700736 \tabularnewline
218 & 0.265779 & 0.531558 & 0.734221 \tabularnewline
219 & 0.268018 & 0.536035 & 0.731982 \tabularnewline
220 & 0.241407 & 0.482814 & 0.758593 \tabularnewline
221 & 0.212923 & 0.425847 & 0.787077 \tabularnewline
222 & 0.203602 & 0.407205 & 0.796398 \tabularnewline
223 & 0.189132 & 0.378265 & 0.810868 \tabularnewline
224 & 0.163661 & 0.327323 & 0.836339 \tabularnewline
225 & 0.150065 & 0.300131 & 0.849935 \tabularnewline
226 & 0.136043 & 0.272085 & 0.863957 \tabularnewline
227 & 0.117328 & 0.234656 & 0.882672 \tabularnewline
228 & 0.101146 & 0.202291 & 0.898854 \tabularnewline
229 & 0.100242 & 0.200484 & 0.899758 \tabularnewline
230 & 0.0828747 & 0.165749 & 0.917125 \tabularnewline
231 & 0.0747852 & 0.14957 & 0.925215 \tabularnewline
232 & 0.105709 & 0.211417 & 0.894291 \tabularnewline
233 & 0.0942948 & 0.18859 & 0.905705 \tabularnewline
234 & 0.082047 & 0.164094 & 0.917953 \tabularnewline
235 & 0.147533 & 0.295067 & 0.852467 \tabularnewline
236 & 0.176448 & 0.352897 & 0.823552 \tabularnewline
237 & 0.170894 & 0.341787 & 0.829106 \tabularnewline
238 & 0.160656 & 0.321311 & 0.839344 \tabularnewline
239 & 0.228246 & 0.456491 & 0.771754 \tabularnewline
240 & 0.255234 & 0.510468 & 0.744766 \tabularnewline
241 & 0.249628 & 0.499255 & 0.750372 \tabularnewline
242 & 0.218094 & 0.436187 & 0.781906 \tabularnewline
243 & 0.373741 & 0.747483 & 0.626259 \tabularnewline
244 & 0.357761 & 0.715522 & 0.642239 \tabularnewline
245 & 0.363583 & 0.727165 & 0.636417 \tabularnewline
246 & 0.327635 & 0.65527 & 0.672365 \tabularnewline
247 & 0.303604 & 0.607209 & 0.696396 \tabularnewline
248 & 0.264789 & 0.529578 & 0.735211 \tabularnewline
249 & 0.285539 & 0.571078 & 0.714461 \tabularnewline
250 & 0.248152 & 0.496304 & 0.751848 \tabularnewline
251 & 0.303216 & 0.606432 & 0.696784 \tabularnewline
252 & 0.30361 & 0.607219 & 0.69639 \tabularnewline
253 & 0.274388 & 0.548776 & 0.725612 \tabularnewline
254 & 0.289947 & 0.579893 & 0.710053 \tabularnewline
255 & 0.34809 & 0.69618 & 0.65191 \tabularnewline
256 & 0.31912 & 0.638239 & 0.68088 \tabularnewline
257 & 0.316246 & 0.632491 & 0.683754 \tabularnewline
258 & 0.276991 & 0.553982 & 0.723009 \tabularnewline
259 & 0.276689 & 0.553378 & 0.723311 \tabularnewline
260 & 0.233578 & 0.467155 & 0.766422 \tabularnewline
261 & 0.287809 & 0.575617 & 0.712191 \tabularnewline
262 & 0.335007 & 0.670014 & 0.664993 \tabularnewline
263 & 0.286526 & 0.573052 & 0.713474 \tabularnewline
264 & 0.542059 & 0.915882 & 0.457941 \tabularnewline
265 & 0.539267 & 0.921466 & 0.460733 \tabularnewline
266 & 0.606731 & 0.786537 & 0.393269 \tabularnewline
267 & 0.531742 & 0.936515 & 0.468258 \tabularnewline
268 & 0.989902 & 0.020196 & 0.010098 \tabularnewline
269 & 0.984389 & 0.0312212 & 0.0156106 \tabularnewline
270 & 0.974678 & 0.0506434 & 0.0253217 \tabularnewline
271 & 0.994551 & 0.0108975 & 0.00544874 \tabularnewline
272 & 0.99212 & 0.0157607 & 0.00788037 \tabularnewline
273 & 0.982651 & 0.0346977 & 0.0173489 \tabularnewline
274 & 0.962826 & 0.0743478 & 0.0371739 \tabularnewline
275 & 0.937858 & 0.124284 & 0.0621421 \tabularnewline
276 & 0.970883 & 0.0582333 & 0.0291167 \tabularnewline
277 & 0.926065 & 0.14787 & 0.0739352 \tabularnewline
278 & 0.865985 & 0.268031 & 0.134015 \tabularnewline
279 & 0.957885 & 0.0842294 & 0.0421147 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268469&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]8[/C][C]0.6159[/C][C]0.7682[/C][C]0.3841[/C][/ROW]
[ROW][C]9[/C][C]0.487279[/C][C]0.974557[/C][C]0.512721[/C][/ROW]
[ROW][C]10[/C][C]0.87809[/C][C]0.243821[/C][C]0.12191[/C][/ROW]
[ROW][C]11[/C][C]0.899448[/C][C]0.201103[/C][C]0.100552[/C][/ROW]
[ROW][C]12[/C][C]0.843439[/C][C]0.313123[/C][C]0.156561[/C][/ROW]
[ROW][C]13[/C][C]0.803428[/C][C]0.393144[/C][C]0.196572[/C][/ROW]
[ROW][C]14[/C][C]0.889488[/C][C]0.221023[/C][C]0.110512[/C][/ROW]
[ROW][C]15[/C][C]0.846181[/C][C]0.307639[/C][C]0.153819[/C][/ROW]
[ROW][C]16[/C][C]0.855666[/C][C]0.288668[/C][C]0.144334[/C][/ROW]
[ROW][C]17[/C][C]0.808479[/C][C]0.383043[/C][C]0.191521[/C][/ROW]
[ROW][C]18[/C][C]0.766768[/C][C]0.466463[/C][C]0.233232[/C][/ROW]
[ROW][C]19[/C][C]0.703081[/C][C]0.593838[/C][C]0.296919[/C][/ROW]
[ROW][C]20[/C][C]0.662108[/C][C]0.675784[/C][C]0.337892[/C][/ROW]
[ROW][C]21[/C][C]0.592258[/C][C]0.815483[/C][C]0.407742[/C][/ROW]
[ROW][C]22[/C][C]0.564338[/C][C]0.871324[/C][C]0.435662[/C][/ROW]
[ROW][C]23[/C][C]0.644002[/C][C]0.711995[/C][C]0.355998[/C][/ROW]
[ROW][C]24[/C][C]0.581846[/C][C]0.836307[/C][C]0.418154[/C][/ROW]
[ROW][C]25[/C][C]0.727294[/C][C]0.545412[/C][C]0.272706[/C][/ROW]
[ROW][C]26[/C][C]0.692128[/C][C]0.615744[/C][C]0.307872[/C][/ROW]
[ROW][C]27[/C][C]0.64638[/C][C]0.70724[/C][C]0.35362[/C][/ROW]
[ROW][C]28[/C][C]0.592876[/C][C]0.814248[/C][C]0.407124[/C][/ROW]
[ROW][C]29[/C][C]0.599703[/C][C]0.800595[/C][C]0.400297[/C][/ROW]
[ROW][C]30[/C][C]0.540645[/C][C]0.91871[/C][C]0.459355[/C][/ROW]
[ROW][C]31[/C][C]0.494957[/C][C]0.989915[/C][C]0.505043[/C][/ROW]
[ROW][C]32[/C][C]0.467641[/C][C]0.935281[/C][C]0.532359[/C][/ROW]
[ROW][C]33[/C][C]0.420708[/C][C]0.841416[/C][C]0.579292[/C][/ROW]
[ROW][C]34[/C][C]0.47383[/C][C]0.94766[/C][C]0.52617[/C][/ROW]
[ROW][C]35[/C][C]0.420896[/C][C]0.841792[/C][C]0.579104[/C][/ROW]
[ROW][C]36[/C][C]0.456055[/C][C]0.91211[/C][C]0.543945[/C][/ROW]
[ROW][C]37[/C][C]0.403904[/C][C]0.807807[/C][C]0.596096[/C][/ROW]
[ROW][C]38[/C][C]0.36708[/C][C]0.734159[/C][C]0.63292[/C][/ROW]
[ROW][C]39[/C][C]0.323005[/C][C]0.646011[/C][C]0.676995[/C][/ROW]
[ROW][C]40[/C][C]0.295198[/C][C]0.590395[/C][C]0.704802[/C][/ROW]
[ROW][C]41[/C][C]0.29234[/C][C]0.58468[/C][C]0.70766[/C][/ROW]
[ROW][C]42[/C][C]0.249952[/C][C]0.499903[/C][C]0.750048[/C][/ROW]
[ROW][C]43[/C][C]0.347129[/C][C]0.694259[/C][C]0.652871[/C][/ROW]
[ROW][C]44[/C][C]0.318879[/C][C]0.637758[/C][C]0.681121[/C][/ROW]
[ROW][C]45[/C][C]0.325478[/C][C]0.650957[/C][C]0.674522[/C][/ROW]
[ROW][C]46[/C][C]0.302856[/C][C]0.605711[/C][C]0.697144[/C][/ROW]
[ROW][C]47[/C][C]0.283977[/C][C]0.567954[/C][C]0.716023[/C][/ROW]
[ROW][C]48[/C][C]0.246223[/C][C]0.492446[/C][C]0.753777[/C][/ROW]
[ROW][C]49[/C][C]0.219678[/C][C]0.439356[/C][C]0.780322[/C][/ROW]
[ROW][C]50[/C][C]0.301628[/C][C]0.603255[/C][C]0.698372[/C][/ROW]
[ROW][C]51[/C][C]0.432966[/C][C]0.865933[/C][C]0.567034[/C][/ROW]
[ROW][C]52[/C][C]0.409027[/C][C]0.818055[/C][C]0.590973[/C][/ROW]
[ROW][C]53[/C][C]0.366134[/C][C]0.732268[/C][C]0.633866[/C][/ROW]
[ROW][C]54[/C][C]0.416583[/C][C]0.833165[/C][C]0.583417[/C][/ROW]
[ROW][C]55[/C][C]0.377714[/C][C]0.755428[/C][C]0.622286[/C][/ROW]
[ROW][C]56[/C][C]0.384502[/C][C]0.769005[/C][C]0.615498[/C][/ROW]
[ROW][C]57[/C][C]0.403546[/C][C]0.807091[/C][C]0.596454[/C][/ROW]
[ROW][C]58[/C][C]0.36257[/C][C]0.72514[/C][C]0.63743[/C][/ROW]
[ROW][C]59[/C][C]0.494993[/C][C]0.989985[/C][C]0.505007[/C][/ROW]
[ROW][C]60[/C][C]0.625643[/C][C]0.748714[/C][C]0.374357[/C][/ROW]
[ROW][C]61[/C][C]0.587056[/C][C]0.825889[/C][C]0.412944[/C][/ROW]
[ROW][C]62[/C][C]0.608237[/C][C]0.783527[/C][C]0.391763[/C][/ROW]
[ROW][C]63[/C][C]0.578834[/C][C]0.842331[/C][C]0.421166[/C][/ROW]
[ROW][C]64[/C][C]0.547631[/C][C]0.904737[/C][C]0.452369[/C][/ROW]
[ROW][C]65[/C][C]0.609756[/C][C]0.780489[/C][C]0.390244[/C][/ROW]
[ROW][C]66[/C][C]0.660048[/C][C]0.679904[/C][C]0.339952[/C][/ROW]
[ROW][C]67[/C][C]0.633127[/C][C]0.733746[/C][C]0.366873[/C][/ROW]
[ROW][C]68[/C][C]0.598092[/C][C]0.803815[/C][C]0.401908[/C][/ROW]
[ROW][C]69[/C][C]0.584141[/C][C]0.831718[/C][C]0.415859[/C][/ROW]
[ROW][C]70[/C][C]0.549395[/C][C]0.90121[/C][C]0.450605[/C][/ROW]
[ROW][C]71[/C][C]0.543422[/C][C]0.913156[/C][C]0.456578[/C][/ROW]
[ROW][C]72[/C][C]0.510865[/C][C]0.978269[/C][C]0.489135[/C][/ROW]
[ROW][C]73[/C][C]0.474742[/C][C]0.949484[/C][C]0.525258[/C][/ROW]
[ROW][C]74[/C][C]0.442403[/C][C]0.884805[/C][C]0.557597[/C][/ROW]
[ROW][C]75[/C][C]0.406265[/C][C]0.812529[/C][C]0.593735[/C][/ROW]
[ROW][C]76[/C][C]0.394214[/C][C]0.788428[/C][C]0.605786[/C][/ROW]
[ROW][C]77[/C][C]0.453774[/C][C]0.907548[/C][C]0.546226[/C][/ROW]
[ROW][C]78[/C][C]0.436807[/C][C]0.873614[/C][C]0.563193[/C][/ROW]
[ROW][C]79[/C][C]0.407803[/C][C]0.815607[/C][C]0.592197[/C][/ROW]
[ROW][C]80[/C][C]0.38445[/C][C]0.768899[/C][C]0.61555[/C][/ROW]
[ROW][C]81[/C][C]0.364309[/C][C]0.728619[/C][C]0.635691[/C][/ROW]
[ROW][C]82[/C][C]0.346807[/C][C]0.693613[/C][C]0.653193[/C][/ROW]
[ROW][C]83[/C][C]0.422973[/C][C]0.845946[/C][C]0.577027[/C][/ROW]
[ROW][C]84[/C][C]0.406212[/C][C]0.812423[/C][C]0.593788[/C][/ROW]
[ROW][C]85[/C][C]0.424934[/C][C]0.849869[/C][C]0.575066[/C][/ROW]
[ROW][C]86[/C][C]0.39867[/C][C]0.79734[/C][C]0.60133[/C][/ROW]
[ROW][C]87[/C][C]0.399844[/C][C]0.799687[/C][C]0.600156[/C][/ROW]
[ROW][C]88[/C][C]0.417934[/C][C]0.835867[/C][C]0.582066[/C][/ROW]
[ROW][C]89[/C][C]0.382081[/C][C]0.764163[/C][C]0.617919[/C][/ROW]
[ROW][C]90[/C][C]0.349328[/C][C]0.698656[/C][C]0.650672[/C][/ROW]
[ROW][C]91[/C][C]0.324391[/C][C]0.648781[/C][C]0.675609[/C][/ROW]
[ROW][C]92[/C][C]0.335393[/C][C]0.670785[/C][C]0.664607[/C][/ROW]
[ROW][C]93[/C][C]0.351341[/C][C]0.702683[/C][C]0.648659[/C][/ROW]
[ROW][C]94[/C][C]0.358339[/C][C]0.716678[/C][C]0.641661[/C][/ROW]
[ROW][C]95[/C][C]0.523473[/C][C]0.953053[/C][C]0.476527[/C][/ROW]
[ROW][C]96[/C][C]0.489525[/C][C]0.97905[/C][C]0.510475[/C][/ROW]
[ROW][C]97[/C][C]0.486486[/C][C]0.972973[/C][C]0.513514[/C][/ROW]
[ROW][C]98[/C][C]0.550803[/C][C]0.898393[/C][C]0.449197[/C][/ROW]
[ROW][C]99[/C][C]0.530783[/C][C]0.938435[/C][C]0.469217[/C][/ROW]
[ROW][C]100[/C][C]0.520109[/C][C]0.959781[/C][C]0.479891[/C][/ROW]
[ROW][C]101[/C][C]0.494771[/C][C]0.989542[/C][C]0.505229[/C][/ROW]
[ROW][C]102[/C][C]0.546199[/C][C]0.907603[/C][C]0.453801[/C][/ROW]
[ROW][C]103[/C][C]0.681219[/C][C]0.637561[/C][C]0.318781[/C][/ROW]
[ROW][C]104[/C][C]0.651563[/C][C]0.696874[/C][C]0.348437[/C][/ROW]
[ROW][C]105[/C][C]0.623666[/C][C]0.752668[/C][C]0.376334[/C][/ROW]
[ROW][C]106[/C][C]0.607441[/C][C]0.785117[/C][C]0.392559[/C][/ROW]
[ROW][C]107[/C][C]0.641155[/C][C]0.71769[/C][C]0.358845[/C][/ROW]
[ROW][C]108[/C][C]0.66312[/C][C]0.67376[/C][C]0.33688[/C][/ROW]
[ROW][C]109[/C][C]0.685066[/C][C]0.629868[/C][C]0.314934[/C][/ROW]
[ROW][C]110[/C][C]0.664743[/C][C]0.670515[/C][C]0.335257[/C][/ROW]
[ROW][C]111[/C][C]0.744161[/C][C]0.511678[/C][C]0.255839[/C][/ROW]
[ROW][C]112[/C][C]0.817982[/C][C]0.364036[/C][C]0.182018[/C][/ROW]
[ROW][C]113[/C][C]0.826859[/C][C]0.346281[/C][C]0.173141[/C][/ROW]
[ROW][C]114[/C][C]0.809194[/C][C]0.381612[/C][C]0.190806[/C][/ROW]
[ROW][C]115[/C][C]0.796562[/C][C]0.406876[/C][C]0.203438[/C][/ROW]
[ROW][C]116[/C][C]0.847581[/C][C]0.304837[/C][C]0.152419[/C][/ROW]
[ROW][C]117[/C][C]0.860221[/C][C]0.279557[/C][C]0.139779[/C][/ROW]
[ROW][C]118[/C][C]0.847457[/C][C]0.305086[/C][C]0.152543[/C][/ROW]
[ROW][C]119[/C][C]0.873155[/C][C]0.253689[/C][C]0.126845[/C][/ROW]
[ROW][C]120[/C][C]0.855139[/C][C]0.289721[/C][C]0.144861[/C][/ROW]
[ROW][C]121[/C][C]0.866599[/C][C]0.266803[/C][C]0.133401[/C][/ROW]
[ROW][C]122[/C][C]0.84792[/C][C]0.304161[/C][C]0.15208[/C][/ROW]
[ROW][C]123[/C][C]0.840132[/C][C]0.319737[/C][C]0.159868[/C][/ROW]
[ROW][C]124[/C][C]0.828769[/C][C]0.342462[/C][C]0.171231[/C][/ROW]
[ROW][C]125[/C][C]0.907877[/C][C]0.184247[/C][C]0.0921234[/C][/ROW]
[ROW][C]126[/C][C]0.893563[/C][C]0.212875[/C][C]0.106437[/C][/ROW]
[ROW][C]127[/C][C]0.923681[/C][C]0.152638[/C][C]0.0763192[/C][/ROW]
[ROW][C]128[/C][C]0.924853[/C][C]0.150293[/C][C]0.0751466[/C][/ROW]
[ROW][C]129[/C][C]0.91683[/C][C]0.16634[/C][C]0.0831702[/C][/ROW]
[ROW][C]130[/C][C]0.906025[/C][C]0.18795[/C][C]0.0939751[/C][/ROW]
[ROW][C]131[/C][C]0.910939[/C][C]0.178121[/C][C]0.0890607[/C][/ROW]
[ROW][C]132[/C][C]0.899125[/C][C]0.20175[/C][C]0.100875[/C][/ROW]
[ROW][C]133[/C][C]0.894482[/C][C]0.211036[/C][C]0.105518[/C][/ROW]
[ROW][C]134[/C][C]0.878932[/C][C]0.242135[/C][C]0.121068[/C][/ROW]
[ROW][C]135[/C][C]0.861783[/C][C]0.276433[/C][C]0.138217[/C][/ROW]
[ROW][C]136[/C][C]0.857447[/C][C]0.285107[/C][C]0.142553[/C][/ROW]
[ROW][C]137[/C][C]0.839473[/C][C]0.321054[/C][C]0.160527[/C][/ROW]
[ROW][C]138[/C][C]0.832089[/C][C]0.335821[/C][C]0.167911[/C][/ROW]
[ROW][C]139[/C][C]0.815661[/C][C]0.368679[/C][C]0.184339[/C][/ROW]
[ROW][C]140[/C][C]0.835223[/C][C]0.329554[/C][C]0.164777[/C][/ROW]
[ROW][C]141[/C][C]0.893508[/C][C]0.212984[/C][C]0.106492[/C][/ROW]
[ROW][C]142[/C][C]0.877415[/C][C]0.245171[/C][C]0.122585[/C][/ROW]
[ROW][C]143[/C][C]0.859377[/C][C]0.281246[/C][C]0.140623[/C][/ROW]
[ROW][C]144[/C][C]0.84365[/C][C]0.312699[/C][C]0.15635[/C][/ROW]
[ROW][C]145[/C][C]0.822676[/C][C]0.354648[/C][C]0.177324[/C][/ROW]
[ROW][C]146[/C][C]0.834655[/C][C]0.330691[/C][C]0.165345[/C][/ROW]
[ROW][C]147[/C][C]0.816394[/C][C]0.367211[/C][C]0.183606[/C][/ROW]
[ROW][C]148[/C][C]0.796084[/C][C]0.407831[/C][C]0.203916[/C][/ROW]
[ROW][C]149[/C][C]0.771151[/C][C]0.457698[/C][C]0.228849[/C][/ROW]
[ROW][C]150[/C][C]0.748747[/C][C]0.502506[/C][C]0.251253[/C][/ROW]
[ROW][C]151[/C][C]0.755414[/C][C]0.489172[/C][C]0.244586[/C][/ROW]
[ROW][C]152[/C][C]0.745042[/C][C]0.509915[/C][C]0.254958[/C][/ROW]
[ROW][C]153[/C][C]0.718555[/C][C]0.56289[/C][C]0.281445[/C][/ROW]
[ROW][C]154[/C][C]0.753364[/C][C]0.493271[/C][C]0.246636[/C][/ROW]
[ROW][C]155[/C][C]0.726521[/C][C]0.546958[/C][C]0.273479[/C][/ROW]
[ROW][C]156[/C][C]0.878553[/C][C]0.242894[/C][C]0.121447[/C][/ROW]
[ROW][C]157[/C][C]0.86563[/C][C]0.268741[/C][C]0.13437[/C][/ROW]
[ROW][C]158[/C][C]0.846567[/C][C]0.306865[/C][C]0.153433[/C][/ROW]
[ROW][C]159[/C][C]0.827251[/C][C]0.345499[/C][C]0.172749[/C][/ROW]
[ROW][C]160[/C][C]0.846292[/C][C]0.307416[/C][C]0.153708[/C][/ROW]
[ROW][C]161[/C][C]0.828903[/C][C]0.342195[/C][C]0.171097[/C][/ROW]
[ROW][C]162[/C][C]0.816819[/C][C]0.366362[/C][C]0.183181[/C][/ROW]
[ROW][C]163[/C][C]0.819367[/C][C]0.361266[/C][C]0.180633[/C][/ROW]
[ROW][C]164[/C][C]0.796215[/C][C]0.40757[/C][C]0.203785[/C][/ROW]
[ROW][C]165[/C][C]0.775593[/C][C]0.448814[/C][C]0.224407[/C][/ROW]
[ROW][C]166[/C][C]0.78537[/C][C]0.42926[/C][C]0.21463[/C][/ROW]
[ROW][C]167[/C][C]0.762749[/C][C]0.474501[/C][C]0.237251[/C][/ROW]
[ROW][C]168[/C][C]0.73703[/C][C]0.525941[/C][C]0.26297[/C][/ROW]
[ROW][C]169[/C][C]0.768095[/C][C]0.463809[/C][C]0.231905[/C][/ROW]
[ROW][C]170[/C][C]0.760784[/C][C]0.478431[/C][C]0.239216[/C][/ROW]
[ROW][C]171[/C][C]0.739387[/C][C]0.521226[/C][C]0.260613[/C][/ROW]
[ROW][C]172[/C][C]0.718198[/C][C]0.563603[/C][C]0.281802[/C][/ROW]
[ROW][C]173[/C][C]0.707709[/C][C]0.584582[/C][C]0.292291[/C][/ROW]
[ROW][C]174[/C][C]0.676902[/C][C]0.646196[/C][C]0.323098[/C][/ROW]
[ROW][C]175[/C][C]0.671796[/C][C]0.656408[/C][C]0.328204[/C][/ROW]
[ROW][C]176[/C][C]0.639664[/C][C]0.720671[/C][C]0.360336[/C][/ROW]
[ROW][C]177[/C][C]0.639318[/C][C]0.721364[/C][C]0.360682[/C][/ROW]
[ROW][C]178[/C][C]0.606595[/C][C]0.786811[/C][C]0.393405[/C][/ROW]
[ROW][C]179[/C][C]0.572303[/C][C]0.855395[/C][C]0.427697[/C][/ROW]
[ROW][C]180[/C][C]0.537431[/C][C]0.925137[/C][C]0.462569[/C][/ROW]
[ROW][C]181[/C][C]0.524051[/C][C]0.951899[/C][C]0.475949[/C][/ROW]
[ROW][C]182[/C][C]0.503741[/C][C]0.992517[/C][C]0.496259[/C][/ROW]
[ROW][C]183[/C][C]0.493068[/C][C]0.986135[/C][C]0.506932[/C][/ROW]
[ROW][C]184[/C][C]0.463551[/C][C]0.927102[/C][C]0.536449[/C][/ROW]
[ROW][C]185[/C][C]0.498472[/C][C]0.996944[/C][C]0.501528[/C][/ROW]
[ROW][C]186[/C][C]0.488577[/C][C]0.977153[/C][C]0.511423[/C][/ROW]
[ROW][C]187[/C][C]0.453333[/C][C]0.906666[/C][C]0.546667[/C][/ROW]
[ROW][C]188[/C][C]0.443032[/C][C]0.886064[/C][C]0.556968[/C][/ROW]
[ROW][C]189[/C][C]0.417678[/C][C]0.835356[/C][C]0.582322[/C][/ROW]
[ROW][C]190[/C][C]0.602813[/C][C]0.794373[/C][C]0.397187[/C][/ROW]
[ROW][C]191[/C][C]0.567691[/C][C]0.864619[/C][C]0.432309[/C][/ROW]
[ROW][C]192[/C][C]0.586052[/C][C]0.827896[/C][C]0.413948[/C][/ROW]
[ROW][C]193[/C][C]0.591953[/C][C]0.816095[/C][C]0.408047[/C][/ROW]
[ROW][C]194[/C][C]0.564148[/C][C]0.871704[/C][C]0.435852[/C][/ROW]
[ROW][C]195[/C][C]0.530247[/C][C]0.939505[/C][C]0.469753[/C][/ROW]
[ROW][C]196[/C][C]0.50462[/C][C]0.99076[/C][C]0.49538[/C][/ROW]
[ROW][C]197[/C][C]0.478413[/C][C]0.956825[/C][C]0.521587[/C][/ROW]
[ROW][C]198[/C][C]0.500176[/C][C]0.999648[/C][C]0.499824[/C][/ROW]
[ROW][C]199[/C][C]0.46964[/C][C]0.939279[/C][C]0.53036[/C][/ROW]
[ROW][C]200[/C][C]0.449122[/C][C]0.898243[/C][C]0.550878[/C][/ROW]
[ROW][C]201[/C][C]0.429792[/C][C]0.859585[/C][C]0.570208[/C][/ROW]
[ROW][C]202[/C][C]0.471175[/C][C]0.94235[/C][C]0.528825[/C][/ROW]
[ROW][C]203[/C][C]0.436144[/C][C]0.872288[/C][C]0.563856[/C][/ROW]
[ROW][C]204[/C][C]0.434495[/C][C]0.868991[/C][C]0.565505[/C][/ROW]
[ROW][C]205[/C][C]0.398175[/C][C]0.79635[/C][C]0.601825[/C][/ROW]
[ROW][C]206[/C][C]0.382187[/C][C]0.764375[/C][C]0.617813[/C][/ROW]
[ROW][C]207[/C][C]0.363467[/C][C]0.726935[/C][C]0.636533[/C][/ROW]
[ROW][C]208[/C][C]0.343894[/C][C]0.687788[/C][C]0.656106[/C][/ROW]
[ROW][C]209[/C][C]0.310175[/C][C]0.620349[/C][C]0.689825[/C][/ROW]
[ROW][C]210[/C][C]0.329451[/C][C]0.658901[/C][C]0.670549[/C][/ROW]
[ROW][C]211[/C][C]0.340538[/C][C]0.681077[/C][C]0.659462[/C][/ROW]
[ROW][C]212[/C][C]0.335604[/C][C]0.671208[/C][C]0.664396[/C][/ROW]
[ROW][C]213[/C][C]0.369085[/C][C]0.738169[/C][C]0.630915[/C][/ROW]
[ROW][C]214[/C][C]0.346735[/C][C]0.693471[/C][C]0.653265[/C][/ROW]
[ROW][C]215[/C][C]0.315224[/C][C]0.630449[/C][C]0.684776[/C][/ROW]
[ROW][C]216[/C][C]0.290121[/C][C]0.580242[/C][C]0.709879[/C][/ROW]
[ROW][C]217[/C][C]0.299264[/C][C]0.598527[/C][C]0.700736[/C][/ROW]
[ROW][C]218[/C][C]0.265779[/C][C]0.531558[/C][C]0.734221[/C][/ROW]
[ROW][C]219[/C][C]0.268018[/C][C]0.536035[/C][C]0.731982[/C][/ROW]
[ROW][C]220[/C][C]0.241407[/C][C]0.482814[/C][C]0.758593[/C][/ROW]
[ROW][C]221[/C][C]0.212923[/C][C]0.425847[/C][C]0.787077[/C][/ROW]
[ROW][C]222[/C][C]0.203602[/C][C]0.407205[/C][C]0.796398[/C][/ROW]
[ROW][C]223[/C][C]0.189132[/C][C]0.378265[/C][C]0.810868[/C][/ROW]
[ROW][C]224[/C][C]0.163661[/C][C]0.327323[/C][C]0.836339[/C][/ROW]
[ROW][C]225[/C][C]0.150065[/C][C]0.300131[/C][C]0.849935[/C][/ROW]
[ROW][C]226[/C][C]0.136043[/C][C]0.272085[/C][C]0.863957[/C][/ROW]
[ROW][C]227[/C][C]0.117328[/C][C]0.234656[/C][C]0.882672[/C][/ROW]
[ROW][C]228[/C][C]0.101146[/C][C]0.202291[/C][C]0.898854[/C][/ROW]
[ROW][C]229[/C][C]0.100242[/C][C]0.200484[/C][C]0.899758[/C][/ROW]
[ROW][C]230[/C][C]0.0828747[/C][C]0.165749[/C][C]0.917125[/C][/ROW]
[ROW][C]231[/C][C]0.0747852[/C][C]0.14957[/C][C]0.925215[/C][/ROW]
[ROW][C]232[/C][C]0.105709[/C][C]0.211417[/C][C]0.894291[/C][/ROW]
[ROW][C]233[/C][C]0.0942948[/C][C]0.18859[/C][C]0.905705[/C][/ROW]
[ROW][C]234[/C][C]0.082047[/C][C]0.164094[/C][C]0.917953[/C][/ROW]
[ROW][C]235[/C][C]0.147533[/C][C]0.295067[/C][C]0.852467[/C][/ROW]
[ROW][C]236[/C][C]0.176448[/C][C]0.352897[/C][C]0.823552[/C][/ROW]
[ROW][C]237[/C][C]0.170894[/C][C]0.341787[/C][C]0.829106[/C][/ROW]
[ROW][C]238[/C][C]0.160656[/C][C]0.321311[/C][C]0.839344[/C][/ROW]
[ROW][C]239[/C][C]0.228246[/C][C]0.456491[/C][C]0.771754[/C][/ROW]
[ROW][C]240[/C][C]0.255234[/C][C]0.510468[/C][C]0.744766[/C][/ROW]
[ROW][C]241[/C][C]0.249628[/C][C]0.499255[/C][C]0.750372[/C][/ROW]
[ROW][C]242[/C][C]0.218094[/C][C]0.436187[/C][C]0.781906[/C][/ROW]
[ROW][C]243[/C][C]0.373741[/C][C]0.747483[/C][C]0.626259[/C][/ROW]
[ROW][C]244[/C][C]0.357761[/C][C]0.715522[/C][C]0.642239[/C][/ROW]
[ROW][C]245[/C][C]0.363583[/C][C]0.727165[/C][C]0.636417[/C][/ROW]
[ROW][C]246[/C][C]0.327635[/C][C]0.65527[/C][C]0.672365[/C][/ROW]
[ROW][C]247[/C][C]0.303604[/C][C]0.607209[/C][C]0.696396[/C][/ROW]
[ROW][C]248[/C][C]0.264789[/C][C]0.529578[/C][C]0.735211[/C][/ROW]
[ROW][C]249[/C][C]0.285539[/C][C]0.571078[/C][C]0.714461[/C][/ROW]
[ROW][C]250[/C][C]0.248152[/C][C]0.496304[/C][C]0.751848[/C][/ROW]
[ROW][C]251[/C][C]0.303216[/C][C]0.606432[/C][C]0.696784[/C][/ROW]
[ROW][C]252[/C][C]0.30361[/C][C]0.607219[/C][C]0.69639[/C][/ROW]
[ROW][C]253[/C][C]0.274388[/C][C]0.548776[/C][C]0.725612[/C][/ROW]
[ROW][C]254[/C][C]0.289947[/C][C]0.579893[/C][C]0.710053[/C][/ROW]
[ROW][C]255[/C][C]0.34809[/C][C]0.69618[/C][C]0.65191[/C][/ROW]
[ROW][C]256[/C][C]0.31912[/C][C]0.638239[/C][C]0.68088[/C][/ROW]
[ROW][C]257[/C][C]0.316246[/C][C]0.632491[/C][C]0.683754[/C][/ROW]
[ROW][C]258[/C][C]0.276991[/C][C]0.553982[/C][C]0.723009[/C][/ROW]
[ROW][C]259[/C][C]0.276689[/C][C]0.553378[/C][C]0.723311[/C][/ROW]
[ROW][C]260[/C][C]0.233578[/C][C]0.467155[/C][C]0.766422[/C][/ROW]
[ROW][C]261[/C][C]0.287809[/C][C]0.575617[/C][C]0.712191[/C][/ROW]
[ROW][C]262[/C][C]0.335007[/C][C]0.670014[/C][C]0.664993[/C][/ROW]
[ROW][C]263[/C][C]0.286526[/C][C]0.573052[/C][C]0.713474[/C][/ROW]
[ROW][C]264[/C][C]0.542059[/C][C]0.915882[/C][C]0.457941[/C][/ROW]
[ROW][C]265[/C][C]0.539267[/C][C]0.921466[/C][C]0.460733[/C][/ROW]
[ROW][C]266[/C][C]0.606731[/C][C]0.786537[/C][C]0.393269[/C][/ROW]
[ROW][C]267[/C][C]0.531742[/C][C]0.936515[/C][C]0.468258[/C][/ROW]
[ROW][C]268[/C][C]0.989902[/C][C]0.020196[/C][C]0.010098[/C][/ROW]
[ROW][C]269[/C][C]0.984389[/C][C]0.0312212[/C][C]0.0156106[/C][/ROW]
[ROW][C]270[/C][C]0.974678[/C][C]0.0506434[/C][C]0.0253217[/C][/ROW]
[ROW][C]271[/C][C]0.994551[/C][C]0.0108975[/C][C]0.00544874[/C][/ROW]
[ROW][C]272[/C][C]0.99212[/C][C]0.0157607[/C][C]0.00788037[/C][/ROW]
[ROW][C]273[/C][C]0.982651[/C][C]0.0346977[/C][C]0.0173489[/C][/ROW]
[ROW][C]274[/C][C]0.962826[/C][C]0.0743478[/C][C]0.0371739[/C][/ROW]
[ROW][C]275[/C][C]0.937858[/C][C]0.124284[/C][C]0.0621421[/C][/ROW]
[ROW][C]276[/C][C]0.970883[/C][C]0.0582333[/C][C]0.0291167[/C][/ROW]
[ROW][C]277[/C][C]0.926065[/C][C]0.14787[/C][C]0.0739352[/C][/ROW]
[ROW][C]278[/C][C]0.865985[/C][C]0.268031[/C][C]0.134015[/C][/ROW]
[ROW][C]279[/C][C]0.957885[/C][C]0.0842294[/C][C]0.0421147[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268469&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268469&T=5

As an alternative you can also use a QR Code:  
QR Code


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.61590.76820.3841
90.4872790.9745570.512721
100.878090.2438210.12191
110.8994480.2011030.100552
120.8434390.3131230.156561
130.8034280.3931440.196572
140.8894880.2210230.110512
150.8461810.3076390.153819
160.8556660.2886680.144334
170.8084790.3830430.191521
180.7667680.4664630.233232
190.7030810.5938380.296919
200.6621080.6757840.337892
210.5922580.8154830.407742
220.5643380.8713240.435662
230.6440020.7119950.355998
240.5818460.8363070.418154
250.7272940.5454120.272706
260.6921280.6157440.307872
270.646380.707240.35362
280.5928760.8142480.407124
290.5997030.8005950.400297
300.5406450.918710.459355
310.4949570.9899150.505043
320.4676410.9352810.532359
330.4207080.8414160.579292
340.473830.947660.52617
350.4208960.8417920.579104
360.4560550.912110.543945
370.4039040.8078070.596096
380.367080.7341590.63292
390.3230050.6460110.676995
400.2951980.5903950.704802
410.292340.584680.70766
420.2499520.4999030.750048
430.3471290.6942590.652871
440.3188790.6377580.681121
450.3254780.6509570.674522
460.3028560.6057110.697144
470.2839770.5679540.716023
480.2462230.4924460.753777
490.2196780.4393560.780322
500.3016280.6032550.698372
510.4329660.8659330.567034
520.4090270.8180550.590973
530.3661340.7322680.633866
540.4165830.8331650.583417
550.3777140.7554280.622286
560.3845020.7690050.615498
570.4035460.8070910.596454
580.362570.725140.63743
590.4949930.9899850.505007
600.6256430.7487140.374357
610.5870560.8258890.412944
620.6082370.7835270.391763
630.5788340.8423310.421166
640.5476310.9047370.452369
650.6097560.7804890.390244
660.6600480.6799040.339952
670.6331270.7337460.366873
680.5980920.8038150.401908
690.5841410.8317180.415859
700.5493950.901210.450605
710.5434220.9131560.456578
720.5108650.9782690.489135
730.4747420.9494840.525258
740.4424030.8848050.557597
750.4062650.8125290.593735
760.3942140.7884280.605786
770.4537740.9075480.546226
780.4368070.8736140.563193
790.4078030.8156070.592197
800.384450.7688990.61555
810.3643090.7286190.635691
820.3468070.6936130.653193
830.4229730.8459460.577027
840.4062120.8124230.593788
850.4249340.8498690.575066
860.398670.797340.60133
870.3998440.7996870.600156
880.4179340.8358670.582066
890.3820810.7641630.617919
900.3493280.6986560.650672
910.3243910.6487810.675609
920.3353930.6707850.664607
930.3513410.7026830.648659
940.3583390.7166780.641661
950.5234730.9530530.476527
960.4895250.979050.510475
970.4864860.9729730.513514
980.5508030.8983930.449197
990.5307830.9384350.469217
1000.5201090.9597810.479891
1010.4947710.9895420.505229
1020.5461990.9076030.453801
1030.6812190.6375610.318781
1040.6515630.6968740.348437
1050.6236660.7526680.376334
1060.6074410.7851170.392559
1070.6411550.717690.358845
1080.663120.673760.33688
1090.6850660.6298680.314934
1100.6647430.6705150.335257
1110.7441610.5116780.255839
1120.8179820.3640360.182018
1130.8268590.3462810.173141
1140.8091940.3816120.190806
1150.7965620.4068760.203438
1160.8475810.3048370.152419
1170.8602210.2795570.139779
1180.8474570.3050860.152543
1190.8731550.2536890.126845
1200.8551390.2897210.144861
1210.8665990.2668030.133401
1220.847920.3041610.15208
1230.8401320.3197370.159868
1240.8287690.3424620.171231
1250.9078770.1842470.0921234
1260.8935630.2128750.106437
1270.9236810.1526380.0763192
1280.9248530.1502930.0751466
1290.916830.166340.0831702
1300.9060250.187950.0939751
1310.9109390.1781210.0890607
1320.8991250.201750.100875
1330.8944820.2110360.105518
1340.8789320.2421350.121068
1350.8617830.2764330.138217
1360.8574470.2851070.142553
1370.8394730.3210540.160527
1380.8320890.3358210.167911
1390.8156610.3686790.184339
1400.8352230.3295540.164777
1410.8935080.2129840.106492
1420.8774150.2451710.122585
1430.8593770.2812460.140623
1440.843650.3126990.15635
1450.8226760.3546480.177324
1460.8346550.3306910.165345
1470.8163940.3672110.183606
1480.7960840.4078310.203916
1490.7711510.4576980.228849
1500.7487470.5025060.251253
1510.7554140.4891720.244586
1520.7450420.5099150.254958
1530.7185550.562890.281445
1540.7533640.4932710.246636
1550.7265210.5469580.273479
1560.8785530.2428940.121447
1570.865630.2687410.13437
1580.8465670.3068650.153433
1590.8272510.3454990.172749
1600.8462920.3074160.153708
1610.8289030.3421950.171097
1620.8168190.3663620.183181
1630.8193670.3612660.180633
1640.7962150.407570.203785
1650.7755930.4488140.224407
1660.785370.429260.21463
1670.7627490.4745010.237251
1680.737030.5259410.26297
1690.7680950.4638090.231905
1700.7607840.4784310.239216
1710.7393870.5212260.260613
1720.7181980.5636030.281802
1730.7077090.5845820.292291
1740.6769020.6461960.323098
1750.6717960.6564080.328204
1760.6396640.7206710.360336
1770.6393180.7213640.360682
1780.6065950.7868110.393405
1790.5723030.8553950.427697
1800.5374310.9251370.462569
1810.5240510.9518990.475949
1820.5037410.9925170.496259
1830.4930680.9861350.506932
1840.4635510.9271020.536449
1850.4984720.9969440.501528
1860.4885770.9771530.511423
1870.4533330.9066660.546667
1880.4430320.8860640.556968
1890.4176780.8353560.582322
1900.6028130.7943730.397187
1910.5676910.8646190.432309
1920.5860520.8278960.413948
1930.5919530.8160950.408047
1940.5641480.8717040.435852
1950.5302470.9395050.469753
1960.504620.990760.49538
1970.4784130.9568250.521587
1980.5001760.9996480.499824
1990.469640.9392790.53036
2000.4491220.8982430.550878
2010.4297920.8595850.570208
2020.4711750.942350.528825
2030.4361440.8722880.563856
2040.4344950.8689910.565505
2050.3981750.796350.601825
2060.3821870.7643750.617813
2070.3634670.7269350.636533
2080.3438940.6877880.656106
2090.3101750.6203490.689825
2100.3294510.6589010.670549
2110.3405380.6810770.659462
2120.3356040.6712080.664396
2130.3690850.7381690.630915
2140.3467350.6934710.653265
2150.3152240.6304490.684776
2160.2901210.5802420.709879
2170.2992640.5985270.700736
2180.2657790.5315580.734221
2190.2680180.5360350.731982
2200.2414070.4828140.758593
2210.2129230.4258470.787077
2220.2036020.4072050.796398
2230.1891320.3782650.810868
2240.1636610.3273230.836339
2250.1500650.3001310.849935
2260.1360430.2720850.863957
2270.1173280.2346560.882672
2280.1011460.2022910.898854
2290.1002420.2004840.899758
2300.08287470.1657490.917125
2310.07478520.149570.925215
2320.1057090.2114170.894291
2330.09429480.188590.905705
2340.0820470.1640940.917953
2350.1475330.2950670.852467
2360.1764480.3528970.823552
2370.1708940.3417870.829106
2380.1606560.3213110.839344
2390.2282460.4564910.771754
2400.2552340.5104680.744766
2410.2496280.4992550.750372
2420.2180940.4361870.781906
2430.3737410.7474830.626259
2440.3577610.7155220.642239
2450.3635830.7271650.636417
2460.3276350.655270.672365
2470.3036040.6072090.696396
2480.2647890.5295780.735211
2490.2855390.5710780.714461
2500.2481520.4963040.751848
2510.3032160.6064320.696784
2520.303610.6072190.69639
2530.2743880.5487760.725612
2540.2899470.5798930.710053
2550.348090.696180.65191
2560.319120.6382390.68088
2570.3162460.6324910.683754
2580.2769910.5539820.723009
2590.2766890.5533780.723311
2600.2335780.4671550.766422
2610.2878090.5756170.712191
2620.3350070.6700140.664993
2630.2865260.5730520.713474
2640.5420590.9158820.457941
2650.5392670.9214660.460733
2660.6067310.7865370.393269
2670.5317420.9365150.468258
2680.9899020.0201960.010098
2690.9843890.03122120.0156106
2700.9746780.05064340.0253217
2710.9945510.01089750.00544874
2720.992120.01576070.00788037
2730.9826510.03469770.0173489
2740.9628260.07434780.0371739
2750.9378580.1242840.0621421
2760.9708830.05823330.0291167
2770.9260650.147870.0739352
2780.8659850.2680310.134015
2790.9578850.08422940.0421147






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level50.0183824OK
10% type I error level90.0330882OK

\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 & 0 & 0 & OK \tabularnewline
5% type I error level & 5 & 0.0183824 & OK \tabularnewline
10% type I error level & 9 & 0.0330882 & OK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268469&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]0[/C][C]0[/C][C]OK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]5[/C][C]0.0183824[/C][C]OK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]9[/C][C]0.0330882[/C][C]OK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268469&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268469&T=6

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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 level00OK
5% type I error level50.0183824OK
10% type I error level90.0330882OK


Figures (Output of Computation)

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Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = Linear Trend ;
Parameters (R input):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = 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$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, signif(mysum$coefficients[i,1],6), 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,signif(mysum$coefficients[i,1],6))
a<-table.element(a, signif(mysum$coefficients[i,2],6))
a<-table.element(a, signif(mysum$coefficients[i,3],4))
a<-table.element(a, signif(mysum$coefficients[i,4],6))
a<-table.element(a, signif(mysum$coefficients[i,4]/2,6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a, signif(sqrt(mysum$r.squared),6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a, signif(mysum$r.squared,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a, signif(mysum$adj.r.squared,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[1],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[2],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[3],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a, signif(1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]),6))
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, signif(mysum$sigma,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a, signif(sum(myerror*myerror),6))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,signif(x[i],6))
a<-table.element(a,signif(x[i]-mysum$resid[i],6))
a<-table.element(a,signif(mysum$resid[i],6))
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,signif(gqarr[mypoint-kp3+1,1],6))
a<-table.element(a,signif(gqarr[mypoint-kp3+1,2],6))
a<-table.element(a,signif(gqarr[mypoint-kp3+1,3],6))
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,signif(numsignificant1,6))
a<-table.element(a,signif(numsignificant1/numgqtests,6))
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,signif(numsignificant5,6))
a<-table.element(a,signif(numsignificant5/numgqtests,6))
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,signif(numsignificant10,6))
a<-table.element(a,signif(numsignificant10/numgqtests,6))
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')
}