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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, 09 Dec 2013 11:58:38 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Dec/09/t13866083323fzqi7dy879sfsz.htm/, Retrieved Thu, 28 Mar 2024 22:16:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=231695, Retrieved Thu, 28 Mar 2024 22:16:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact73
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kendall tau Correlation Matrix] [] [2010-12-05 17:44:33] [b98453cac15ba1066b407e146608df68]
- RMPD  [Kendall tau Correlation Matrix] [Workshop 10 (4)] [2013-12-09 16:25:01] [a46b3fbd754cd1bc1ea91b4fc25aef96]
- RMP     [Multiple Regression] [Workshop 10 (7)] [2013-12-09 16:46:57] [a46b3fbd754cd1bc1ea91b4fc25aef96]
- R P         [Multiple Regression] [Workshop 10 (8)] [2013-12-09 16:58:38] [64878dc751ec35f6181432dc0b65413b] [Current]
- R             [Multiple Regression] [Workshop 10 (9)] [2013-12-09 17:20:30] [a46b3fbd754cd1bc1ea91b4fc25aef96]
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Dataseries X:
1 1 41 38 13 12 14
1 1 39 32 16 11 18
1 1 30 35 19 15 11
1 0 31 33 15 6 12
1 1 34 37 14 13 16
1 1 35 29 13 10 18
1 1 39 31 19 12 14
1 1 34 36 15 14 14
1 1 36 35 14 12 15
1 1 37 38 15 9 15
1 0 38 31 16 10 17
1 1 36 34 16 12 19
1 0 38 35 16 12 10
1 1 39 38 16 11 16
1 1 33 37 17 15 18
1 0 32 33 15 12 14
1 0 36 32 15 10 14
1 1 38 38 20 12 17
1 0 39 38 18 11 14
1 1 32 32 16 12 16
1 0 32 33 16 11 18
1 1 31 31 16 12 11
1 1 39 38 19 13 14
1 1 37 39 16 11 12
1 0 39 32 17 12 17
1 1 41 32 17 13 9
1 0 36 35 16 10 16
1 1 33 37 15 14 14
1 1 33 33 16 12 15
1 0 34 33 14 10 11
1 1 31 31 15 12 16
1 0 27 32 12 8 13
1 1 37 31 14 10 17
1 1 34 37 16 12 15
1 0 34 30 14 12 14
1 0 32 33 10 7 16
1 0 29 31 10 9 9
1 0 36 33 14 12 15
1 1 29 31 16 10 17
1 0 35 33 16 10 13
1 0 37 32 16 10 15
1 1 34 33 14 12 16
1 0 38 32 20 15 16
1 0 35 33 14 10 12
1 1 38 28 14 10 15
1 1 37 35 11 12 11
1 1 38 39 14 13 15
1 1 33 34 15 11 15
1 1 36 38 16 11 17
1 0 38 32 14 12 13
1 1 32 38 16 14 16
1 0 32 30 14 10 14
1 0 32 33 12 12 11
1 1 34 38 16 13 12
1 0 32 32 9 5 12
1 1 37 35 14 6 15
1 1 39 34 16 12 16
1 1 29 34 16 12 15
1 0 37 36 15 11 12
1 1 35 34 16 10 12
1 0 30 28 12 7 8
1 0 38 34 16 12 13
1 1 34 35 16 14 11
1 1 31 35 14 11 14
1 1 34 31 16 12 15
1 0 35 37 17 13 10
1 1 36 35 18 14 11
1 0 30 27 18 11 12
1 1 39 40 12 12 15
1 0 35 37 16 12 15
1 0 38 36 10 8 14
1 1 31 38 14 11 16
1 1 34 39 18 14 15
1 0 38 41 18 14 15
1 0 34 27 16 12 13
1 1 39 30 17 9 12
1 1 37 37 16 13 17
1 1 34 31 16 11 13
1 0 28 31 13 12 15
1 0 37 27 16 12 13
1 0 33 36 16 12 15
1 1 35 37 16 12 15
1 0 37 33 15 12 16
1 1 32 34 15 11 15
1 1 33 31 16 10 14
1 0 38 39 14 9 15
1 1 33 34 16 12 14
1 1 29 32 16 12 13
1 1 33 33 15 12 7
1 1 31 36 12 9 17
1 1 36 32 17 15 13
1 1 35 41 16 12 15
1 1 32 28 15 12 14
1 1 29 30 13 12 13
1 1 39 36 16 10 16
1 1 37 35 16 13 12
1 1 35 31 16 9 14
1 0 37 34 16 12 17
1 0 32 36 14 10 15
1 1 38 36 16 14 17
1 0 37 35 16 11 12
1 1 36 37 20 15 16
1 0 32 28 15 11 11
1 1 33 39 16 11 15
1 0 40 32 13 12 9
1 1 38 35 17 12 16
1 0 41 39 16 12 15
1 0 36 35 16 11 10
1 1 43 42 12 7 10
1 1 30 34 16 12 15
1 1 31 33 16 14 11
1 1 32 41 17 11 13
1 1 37 34 12 10 18
1 0 37 32 18 13 16
1 1 33 40 14 13 14
1 1 34 40 14 8 14
1 1 33 35 13 11 14
1 1 38 36 16 12 14
1 0 33 37 13 11 12
1 1 31 27 16 13 14
1 1 38 39 13 12 15
1 1 37 38 16 14 15
1 1 36 31 15 13 15
1 1 31 33 16 15 13
1 0 39 32 15 10 17
1 1 44 39 17 11 17
1 1 33 36 15 9 19
1 1 35 33 12 11 15
1 0 32 33 16 10 13
1 0 28 32 10 11 9
1 1 40 37 16 8 15
1 0 27 30 12 11 15
1 0 37 38 14 12 15
1 1 32 29 15 12 16
1 0 28 22 13 9 11
1 0 34 35 15 11 14
1 1 30 35 11 10 11
1 1 35 34 12 8 15
1 0 31 35 11 9 13
1 1 32 34 16 8 15
1 0 30 37 15 9 16
1 1 30 35 17 15 14
1 0 31 23 16 11 15
1 1 40 31 10 8 16
1 1 32 27 18 13 16
1 0 36 36 13 12 11
1 0 32 31 16 12 12
1 0 35 32 13 9 9
1 1 38 39 10 7 16
1 1 42 37 15 13 13
1 0 34 38 16 9 16
1 1 35 39 16 6 12
1 1 38 34 14 8 9
1 1 33 31 10 8 13
1 1 32 37 13 6 14
1 1 33 36 15 9 19
1 1 34 32 16 11 13
1 1 32 38 12 8 12
0 0 27 26 13 10 10
0 0 31 26 12 8 14
0 0 38 33 17 14 16
0 1 34 39 15 10 10
0 0 24 30 10 8 11
0 0 30 33 14 11 14
0 1 26 25 11 12 12
0 1 34 38 13 12 9
0 0 27 37 16 12 9
0 0 37 31 12 5 11
0 1 36 37 16 12 16
0 0 41 35 12 10 9
0 1 29 25 9 7 13
0 1 36 28 12 12 16
0 0 32 35 15 11 13
0 1 37 33 12 8 9
0 0 30 30 12 9 12
0 1 31 31 14 10 16
0 1 38 37 12 9 11
0 1 36 36 16 12 14
0 0 35 30 11 6 13
0 0 31 36 19 15 15
0 0 38 32 15 12 14
0 1 22 28 8 12 16
0 1 32 36 16 12 13
0 0 36 34 17 11 14
0 1 39 31 12 7 15
0 0 28 28 11 7 13
0 0 32 36 11 5 11
0 1 32 36 14 12 11
0 1 38 40 16 12 14
0 1 32 33 12 3 15
0 1 35 37 16 11 11
0 1 32 32 13 10 15
0 0 37 38 15 12 12
0 1 34 31 16 9 14
0 1 33 37 16 12 14
0 0 33 33 14 9 8
0 0 30 30 16 12 9
0 0 24 30 14 10 15
0 0 34 31 11 9 17
0 0 34 32 12 12 13
0 1 33 34 15 8 15
0 1 34 36 15 11 15
0 1 35 37 16 11 14
0 0 35 36 16 12 16
0 0 36 33 11 10 13
0 0 34 33 15 10 16
0 1 34 33 12 12 9
0 0 41 44 12 12 16
0 0 32 39 15 11 11
0 0 30 32 15 8 10
0 1 35 35 16 12 11
0 0 28 25 14 10 15
0 1 33 35 17 11 17
0 1 39 34 14 10 14
0 0 36 35 13 8 8
0 1 36 39 15 12 15
0 0 35 33 13 12 11
0 0 38 36 14 10 16
0 1 33 32 15 12 10
0 0 31 32 12 9 15
0 1 32 36 8 6 16
0 0 31 32 14 10 19
0 0 33 34 14 9 12
0 0 34 33 11 9 8
0 0 34 35 12 9 11
0 1 34 30 13 6 14
0 0 33 38 10 10 9
0 0 32 34 16 6 15
0 1 41 33 18 14 13
0 1 34 32 13 10 16
0 0 36 31 11 10 11
0 0 37 30 4 6 12
0 0 36 27 13 12 13
0 1 29 31 16 12 10
0 0 37 30 10 7 11
0 0 27 32 12 8 12
0 0 35 35 12 11 8
0 0 28 28 10 3 12
0 0 35 33 13 6 12
0 0 29 35 12 8 11
0 0 32 35 14 9 13
0 1 36 32 10 9 14
0 1 19 21 12 8 10
0 1 21 20 12 9 12
0 0 31 34 11 7 15
0 0 33 32 10 7 13
0 1 36 34 12 6 13
0 1 33 32 16 9 13
0 0 37 33 12 10 12
0 0 34 33 14 11 12
0 0 35 37 16 12 9
0 1 31 32 14 8 9
0 1 37 34 13 11 15
0 1 35 30 4 3 10
0 1 27 30 15 11 14
0 0 34 38 11 12 15
0 0 40 36 11 7 7
0 0 29 32 14 9 14
0 0 38 34 15 12 8
0 1 34 33 14 8 10
0 0 21 27 13 11 13
0 0 36 32 11 8 13
0 1 38 34 15 10 13
0 0 30 29 11 8 8
0 0 35 35 13 7 12
0 1 30 27 13 8 13
0 1 36 33 16 10 12
0 0 34 38 13 8 10
0 1 35 36 16 12 13
0 0 34 33 16 14 12
0 0 32 39 12 7 9
0 1 33 29 7 6 15
0 0 33 32 16 11 13
0 1 26 34 5 4 13
0 0 35 38 16 9 13
0 0 21 17 4 5 15
0 0 38 35 12 9 15
0 0 35 32 15 11 14
0 1 33 34 14 12 15
0 0 37 36 11 9 11
0 0 38 31 16 12 15
0 1 34 35 15 10 14
0 0 27 29 12 9 13
0 1 16 22 6 6 12
0 0 40 41 16 10 16
0 0 36 36 10 9 16
0 1 42 42 15 13 9
0 1 30 33 14 12 14




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time20 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 20 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231695&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]20 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231695&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231695&T=0

As an alternative you can also use a QR Code:  

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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time20 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Multiple Linear Regression - Estimated Regression Equation
Pop[t] = -1.14995 + 0.0996782Gender[t] + 0.010933Connected[t] -0.000911994Separate[t] + 0.03676Learning[t] + 0.0289915Software[t] + 0.0360988Happiness[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Pop[t] =  -1.14995 +  0.0996782Gender[t] +  0.010933Connected[t] -0.000911994Separate[t] +  0.03676Learning[t] +  0.0289915Software[t] +  0.0360988Happiness[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231695&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Pop[t] =  -1.14995 +  0.0996782Gender[t] +  0.010933Connected[t] -0.000911994Separate[t] +  0.03676Learning[t] +  0.0289915Software[t] +  0.0360988Happiness[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231695&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231695&T=1

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Estimated Regression Equation
Pop[t] = -1.14995 + 0.0996782Gender[t] + 0.010933Connected[t] -0.000911994Separate[t] + 0.03676Learning[t] + 0.0289915Software[t] + 0.0360988Happiness[t] + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-1.149950.288831-3.9818.73014e-054.36507e-05
Gender0.09967820.05531121.8020.07259570.0362978
Connected0.0109330.007833721.3960.1639250.0819627
Separate-0.0009119940.00817039-0.11160.9112030.455601
Learning0.036760.01397772.630.00901130.00450565
Software0.02899150.01499921.9330.05425720.0271286
Happiness0.03609880.01113853.2410.001334930.000667467

\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) & -1.14995 & 0.288831 & -3.981 & 8.73014e-05 & 4.36507e-05 \tabularnewline
Gender & 0.0996782 & 0.0553112 & 1.802 & 0.0725957 & 0.0362978 \tabularnewline
Connected & 0.010933 & 0.00783372 & 1.396 & 0.163925 & 0.0819627 \tabularnewline
Separate & -0.000911994 & 0.00817039 & -0.1116 & 0.911203 & 0.455601 \tabularnewline
Learning & 0.03676 & 0.0139777 & 2.63 & 0.0090113 & 0.00450565 \tabularnewline
Software & 0.0289915 & 0.0149992 & 1.933 & 0.0542572 & 0.0271286 \tabularnewline
Happiness & 0.0360988 & 0.0111385 & 3.241 & 0.00133493 & 0.000667467 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231695&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]-1.14995[/C][C]0.288831[/C][C]-3.981[/C][C]8.73014e-05[/C][C]4.36507e-05[/C][/ROW]
[ROW][C]Gender[/C][C]0.0996782[/C][C]0.0553112[/C][C]1.802[/C][C]0.0725957[/C][C]0.0362978[/C][/ROW]
[ROW][C]Connected[/C][C]0.010933[/C][C]0.00783372[/C][C]1.396[/C][C]0.163925[/C][C]0.0819627[/C][/ROW]
[ROW][C]Separate[/C][C]-0.000911994[/C][C]0.00817039[/C][C]-0.1116[/C][C]0.911203[/C][C]0.455601[/C][/ROW]
[ROW][C]Learning[/C][C]0.03676[/C][C]0.0139777[/C][C]2.63[/C][C]0.0090113[/C][C]0.00450565[/C][/ROW]
[ROW][C]Software[/C][C]0.0289915[/C][C]0.0149992[/C][C]1.933[/C][C]0.0542572[/C][C]0.0271286[/C][/ROW]
[ROW][C]Happiness[/C][C]0.0360988[/C][C]0.0111385[/C][C]3.241[/C][C]0.00133493[/C][C]0.000667467[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231695&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231695&T=2

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-1.149950.288831-3.9818.73014e-054.36507e-05
Gender0.09967820.05531121.8020.07259570.0362978
Connected0.0109330.007833721.3960.1639250.0819627
Separate-0.0009119940.00817039-0.11160.9112030.455601
Learning0.036760.01397772.630.00901130.00450565
Software0.02899150.01499921.9330.05425720.0271286
Happiness0.03609880.01113853.2410.001334930.000667467







Multiple Linear Regression - Regression Statistics
Multiple R0.447905
R-squared0.200619
Adjusted R-squared0.18355
F-TEST (value)11.7536
F-TEST (DF numerator)6
F-TEST (DF denominator)281
p-value9.32532e-12
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.450431
Sum Squared Residuals57.0114

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.447905 \tabularnewline
R-squared & 0.200619 \tabularnewline
Adjusted R-squared & 0.18355 \tabularnewline
F-TEST (value) & 11.7536 \tabularnewline
F-TEST (DF numerator) & 6 \tabularnewline
F-TEST (DF denominator) & 281 \tabularnewline
p-value & 9.32532e-12 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 0.450431 \tabularnewline
Sum Squared Residuals & 57.0114 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231695&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.447905[/C][/ROW]
[ROW][C]R-squared[/C][C]0.200619[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.18355[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]11.7536[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]6[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]281[/C][/ROW]
[ROW][C]p-value[/C][C]9.32532e-12[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]0.450431[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]57.0114[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231695&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231695&T=3

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Regression Statistics
Multiple R0.447905
R-squared0.200619
Adjusted R-squared0.18355
F-TEST (value)11.7536
F-TEST (DF numerator)6
F-TEST (DF denominator)281
p-value9.32532e-12
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.450431
Sum Squared Residuals57.0114







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
110.6944890.305511
210.9037780.0962215
310.7761990.223801
410.3174140.682586
510.7568180.243182
610.7235110.276489
710.8995670.100433
810.7512840.248716
910.7154180.284582
1010.6734010.326599
1110.7289890.271011
1210.9342460.0657543
1310.5306320.469368
1410.8261090.173891
1510.9863460.0136538
1610.5744930.425507
1710.5611540.438846
1811.02731-0.0273063
1910.7277530.272247
2010.7840410.215959
2110.7266570.273343
2210.5935260.406474
2310.9221740.0778257
2410.6589350.341065
2510.8337530.166247
2610.6954980.304502
2710.6673760.332624
2810.7394390.260561
2910.7579630.242037
3010.393320.60668
3110.737260.26274
3210.2583950.741605
3310.7442140.255786
3410.7652480.234752
3510.5623350.437665
3610.3179330.682067
3710.09224910.907751
3810.6175640.382436
3910.730270.26973
4010.549970.45003
4110.6449460.355054
4210.7314750.268525
4310.9839760.0160244
4410.4403520.559648
4510.6856850.314315
4610.4716760.528324
4710.7626280.237372
4810.69130.3087
4910.8294090.170591
5010.5681440.431856
5110.8365520.163448
5210.4824860.517514
5310.3559160.644084
5410.6850310.314969
5510.07970690.920293
5610.5524020.447598
5710.8587480.141252
5810.7133190.286681
5910.5252330.474767
6010.6126380.387362
6110.08535650.914643
6210.6398410.360159
6310.680660.31934
6410.5956630.404337
6510.770720.22928
6610.561760.43824
6710.7760460.223954
6810.567190.43281
6910.6701370.329863
7010.6765030.323497
7110.3375890.662411
7210.6651240.334876
7310.8949270.105073
7410.8371570.162843
7510.6024920.397508
7610.6677870.332213
7710.8992370.100763
7810.6695310.330469
7910.4951640.504836
8010.6352910.364709
8110.6555490.344451
8210.7761810.223819
8310.7013560.298644
8410.6803670.319633
8510.6657050.334295
8610.5469840.453016
8710.7209520.279048
8810.6429450.357055
8910.4324120.567588
9010.5715440.428456
9110.8432110.156789
9210.7725330.227467
9310.6787310.321269
9410.5344890.465511
9510.7989410.201059
9610.7205660.279434
9710.658580.34142
9810.7733030.226697
9910.5131130.486887
10010.9400730.059927
10110.5629050.437095
10211.05723-0.0572278
10310.4417650.558235
10410.72350.2765
10510.4088550.591145
10610.8836630.116337
10710.7402770.259723
10810.4797750.520225
10910.3865940.613406
11010.7242520.275748
11110.6496850.350315
11210.6753050.324695
11310.7040570.295943
11410.841540.15846
11510.6709520.329048
11610.5369270.463073
11710.5807690.419231
11810.7737940.226206
11910.4070690.592931
12010.7344620.265538
12110.6968760.303124
12210.8551180.144882
12310.7848180.215182
12410.7508740.249126
12510.702250.29775
12610.9527210.0472791
12710.7758880.224112
12810.6037980.396202
12910.5171710.482829
13010.1383870.861613
13110.7148810.285119
13210.4193910.580609
13310.6239370.376063
13410.7500170.249983
13510.2720020.727998
13610.5655440.434456
13710.3371620.662838
13810.5159110.484089
13910.2916230.708377
14010.6301520.369848
14110.5342020.465798
14210.8109760.189024
14310.6165470.383453
14410.5358910.464109
14510.8911130.108887
14610.4336730.566327
14710.5408790.459121
14810.2672160.732784
14910.4777380.522262
15010.7727460.227254
15110.6137830.386217
15210.4921120.507888
15310.4056370.594363
15410.3510630.648937
15510.4230540.576946
15610.7758880.224112
15710.6686190.331381
15810.3711680.628832
15900.250313-0.250313
16000.343698-0.343698
16100.843792-0.843792
16200.488187-0.488187
16300.0817021-0.0817021
16400.486875-0.486875
16500.396631-0.396631
16600.437463-0.437463
16700.372446-0.372446
16800.209465-0.209465
16900.823213-0.823213
17000.322309-0.322309
17100.247052-0.247052
17200.684381-0.684381
17300.507579-0.507579
17400.322096-0.322096
17500.285911-0.285911
17600.642517-0.642517
17700.430571-0.430571
17800.751928-0.751928
17900.25294-0.25294
18000.830937-0.830937
18100.641003-0.641003
18200.384278-0.384278
18300.672097-0.672097
18400.661842-0.661842
18500.533388-0.533388
18600.207225-0.207225
18700.11348-0.11348
18800.526379-0.526379
18900.770146-0.770146
19000.339067-0.339067
19100.602795-0.602795
19200.579679-0.579679
19300.552401-0.552401
19400.647647-0.647647
19500.718216-0.718216
19600.245099-0.245099
19700.411629-0.411629
19800.431121-0.431121
19900.472465-0.472465
20000.450892-0.450892
20100.604325-0.604325
20200.700409-0.700409
20300.711091-0.711091
20400.713514-0.713514
20500.377103-0.377103
20600.610574-0.610574
20700.405263-0.405263
20800.624776-0.624776
20900.431733-0.431733
21000.293178-0.293178
21100.63361-0.63361
21200.479413-0.479413
21300.836105-0.836105
21400.655048-0.655048
21500.210322-0.210322
21600.74853-0.74853
21700.425476-0.425476
21800.61481-0.61481
21900.541621-0.541621
22000.403316-0.403316
22100.312364-0.312364
22200.650223-0.650223
22300.388582-0.388582
22400.145752-0.145752
22500.288984-0.288984
22600.451304-0.451304
22700.158589-0.158589
22800.472491-0.472491
22900.904733-0.904733
23000.637644-0.637644
23100.30673-0.30673
2320-0.01861270.0186127
23300.514078-0.514078
23400.535561-0.535561
23500.19484-0.19484
23600.222296-0.222296
23700.249604-0.249604
23800.0183998-0.0183998
23900.287626-0.287626
24000.205327-0.205327
24100.412836-0.412836
24200.448041-0.448041
24300.172344-0.172344
24400.296312-0.296312
24500.306749-0.306749
24600.221482-0.221482
24700.396664-0.396664
24800.599703-0.599703
24900.388698-0.388698
25000.45841-0.45841
25100.45991-0.45991
25200.33093-0.33093
25300.661512-0.661512
2540-0.09997270.0999727
25500.593251-0.593251
25600.480858-0.480858
25700.114532-0.114532
25800.418872-0.418872
25900.422586-0.422586
26000.398916-0.398916
26100.321091-0.321091
26200.320032-0.320032
26300.644776-0.644776
26400.0766759-0.0766759
26500.314793-0.314793
26600.432192-0.432192
26700.624483-0.624483
26800.257918-0.257918
26900.704896-0.704896
27000.618904-0.618904
27100.133289-0.133289
27200.256822-0.256822
27300.558008-0.558008
2740-0.027970.02797
27500.516419-0.516419
2760-0.102380.10238
27700.477112-0.477112
27800.579213-0.579213
27900.683531-0.683531
28000.284111-0.284111
28100.714774-0.714774
28200.63623-0.63623
28300.290122-0.290122
2840-0.06771230.0677123
28500.705636-0.705636
28600.416912-0.416912
28700.623791-0.623791
28800.615545-0.615545

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 1 & 0.694489 & 0.305511 \tabularnewline
2 & 1 & 0.903778 & 0.0962215 \tabularnewline
3 & 1 & 0.776199 & 0.223801 \tabularnewline
4 & 1 & 0.317414 & 0.682586 \tabularnewline
5 & 1 & 0.756818 & 0.243182 \tabularnewline
6 & 1 & 0.723511 & 0.276489 \tabularnewline
7 & 1 & 0.899567 & 0.100433 \tabularnewline
8 & 1 & 0.751284 & 0.248716 \tabularnewline
9 & 1 & 0.715418 & 0.284582 \tabularnewline
10 & 1 & 0.673401 & 0.326599 \tabularnewline
11 & 1 & 0.728989 & 0.271011 \tabularnewline
12 & 1 & 0.934246 & 0.0657543 \tabularnewline
13 & 1 & 0.530632 & 0.469368 \tabularnewline
14 & 1 & 0.826109 & 0.173891 \tabularnewline
15 & 1 & 0.986346 & 0.0136538 \tabularnewline
16 & 1 & 0.574493 & 0.425507 \tabularnewline
17 & 1 & 0.561154 & 0.438846 \tabularnewline
18 & 1 & 1.02731 & -0.0273063 \tabularnewline
19 & 1 & 0.727753 & 0.272247 \tabularnewline
20 & 1 & 0.784041 & 0.215959 \tabularnewline
21 & 1 & 0.726657 & 0.273343 \tabularnewline
22 & 1 & 0.593526 & 0.406474 \tabularnewline
23 & 1 & 0.922174 & 0.0778257 \tabularnewline
24 & 1 & 0.658935 & 0.341065 \tabularnewline
25 & 1 & 0.833753 & 0.166247 \tabularnewline
26 & 1 & 0.695498 & 0.304502 \tabularnewline
27 & 1 & 0.667376 & 0.332624 \tabularnewline
28 & 1 & 0.739439 & 0.260561 \tabularnewline
29 & 1 & 0.757963 & 0.242037 \tabularnewline
30 & 1 & 0.39332 & 0.60668 \tabularnewline
31 & 1 & 0.73726 & 0.26274 \tabularnewline
32 & 1 & 0.258395 & 0.741605 \tabularnewline
33 & 1 & 0.744214 & 0.255786 \tabularnewline
34 & 1 & 0.765248 & 0.234752 \tabularnewline
35 & 1 & 0.562335 & 0.437665 \tabularnewline
36 & 1 & 0.317933 & 0.682067 \tabularnewline
37 & 1 & 0.0922491 & 0.907751 \tabularnewline
38 & 1 & 0.617564 & 0.382436 \tabularnewline
39 & 1 & 0.73027 & 0.26973 \tabularnewline
40 & 1 & 0.54997 & 0.45003 \tabularnewline
41 & 1 & 0.644946 & 0.355054 \tabularnewline
42 & 1 & 0.731475 & 0.268525 \tabularnewline
43 & 1 & 0.983976 & 0.0160244 \tabularnewline
44 & 1 & 0.440352 & 0.559648 \tabularnewline
45 & 1 & 0.685685 & 0.314315 \tabularnewline
46 & 1 & 0.471676 & 0.528324 \tabularnewline
47 & 1 & 0.762628 & 0.237372 \tabularnewline
48 & 1 & 0.6913 & 0.3087 \tabularnewline
49 & 1 & 0.829409 & 0.170591 \tabularnewline
50 & 1 & 0.568144 & 0.431856 \tabularnewline
51 & 1 & 0.836552 & 0.163448 \tabularnewline
52 & 1 & 0.482486 & 0.517514 \tabularnewline
53 & 1 & 0.355916 & 0.644084 \tabularnewline
54 & 1 & 0.685031 & 0.314969 \tabularnewline
55 & 1 & 0.0797069 & 0.920293 \tabularnewline
56 & 1 & 0.552402 & 0.447598 \tabularnewline
57 & 1 & 0.858748 & 0.141252 \tabularnewline
58 & 1 & 0.713319 & 0.286681 \tabularnewline
59 & 1 & 0.525233 & 0.474767 \tabularnewline
60 & 1 & 0.612638 & 0.387362 \tabularnewline
61 & 1 & 0.0853565 & 0.914643 \tabularnewline
62 & 1 & 0.639841 & 0.360159 \tabularnewline
63 & 1 & 0.68066 & 0.31934 \tabularnewline
64 & 1 & 0.595663 & 0.404337 \tabularnewline
65 & 1 & 0.77072 & 0.22928 \tabularnewline
66 & 1 & 0.56176 & 0.43824 \tabularnewline
67 & 1 & 0.776046 & 0.223954 \tabularnewline
68 & 1 & 0.56719 & 0.43281 \tabularnewline
69 & 1 & 0.670137 & 0.329863 \tabularnewline
70 & 1 & 0.676503 & 0.323497 \tabularnewline
71 & 1 & 0.337589 & 0.662411 \tabularnewline
72 & 1 & 0.665124 & 0.334876 \tabularnewline
73 & 1 & 0.894927 & 0.105073 \tabularnewline
74 & 1 & 0.837157 & 0.162843 \tabularnewline
75 & 1 & 0.602492 & 0.397508 \tabularnewline
76 & 1 & 0.667787 & 0.332213 \tabularnewline
77 & 1 & 0.899237 & 0.100763 \tabularnewline
78 & 1 & 0.669531 & 0.330469 \tabularnewline
79 & 1 & 0.495164 & 0.504836 \tabularnewline
80 & 1 & 0.635291 & 0.364709 \tabularnewline
81 & 1 & 0.655549 & 0.344451 \tabularnewline
82 & 1 & 0.776181 & 0.223819 \tabularnewline
83 & 1 & 0.701356 & 0.298644 \tabularnewline
84 & 1 & 0.680367 & 0.319633 \tabularnewline
85 & 1 & 0.665705 & 0.334295 \tabularnewline
86 & 1 & 0.546984 & 0.453016 \tabularnewline
87 & 1 & 0.720952 & 0.279048 \tabularnewline
88 & 1 & 0.642945 & 0.357055 \tabularnewline
89 & 1 & 0.432412 & 0.567588 \tabularnewline
90 & 1 & 0.571544 & 0.428456 \tabularnewline
91 & 1 & 0.843211 & 0.156789 \tabularnewline
92 & 1 & 0.772533 & 0.227467 \tabularnewline
93 & 1 & 0.678731 & 0.321269 \tabularnewline
94 & 1 & 0.534489 & 0.465511 \tabularnewline
95 & 1 & 0.798941 & 0.201059 \tabularnewline
96 & 1 & 0.720566 & 0.279434 \tabularnewline
97 & 1 & 0.65858 & 0.34142 \tabularnewline
98 & 1 & 0.773303 & 0.226697 \tabularnewline
99 & 1 & 0.513113 & 0.486887 \tabularnewline
100 & 1 & 0.940073 & 0.059927 \tabularnewline
101 & 1 & 0.562905 & 0.437095 \tabularnewline
102 & 1 & 1.05723 & -0.0572278 \tabularnewline
103 & 1 & 0.441765 & 0.558235 \tabularnewline
104 & 1 & 0.7235 & 0.2765 \tabularnewline
105 & 1 & 0.408855 & 0.591145 \tabularnewline
106 & 1 & 0.883663 & 0.116337 \tabularnewline
107 & 1 & 0.740277 & 0.259723 \tabularnewline
108 & 1 & 0.479775 & 0.520225 \tabularnewline
109 & 1 & 0.386594 & 0.613406 \tabularnewline
110 & 1 & 0.724252 & 0.275748 \tabularnewline
111 & 1 & 0.649685 & 0.350315 \tabularnewline
112 & 1 & 0.675305 & 0.324695 \tabularnewline
113 & 1 & 0.704057 & 0.295943 \tabularnewline
114 & 1 & 0.84154 & 0.15846 \tabularnewline
115 & 1 & 0.670952 & 0.329048 \tabularnewline
116 & 1 & 0.536927 & 0.463073 \tabularnewline
117 & 1 & 0.580769 & 0.419231 \tabularnewline
118 & 1 & 0.773794 & 0.226206 \tabularnewline
119 & 1 & 0.407069 & 0.592931 \tabularnewline
120 & 1 & 0.734462 & 0.265538 \tabularnewline
121 & 1 & 0.696876 & 0.303124 \tabularnewline
122 & 1 & 0.855118 & 0.144882 \tabularnewline
123 & 1 & 0.784818 & 0.215182 \tabularnewline
124 & 1 & 0.750874 & 0.249126 \tabularnewline
125 & 1 & 0.70225 & 0.29775 \tabularnewline
126 & 1 & 0.952721 & 0.0472791 \tabularnewline
127 & 1 & 0.775888 & 0.224112 \tabularnewline
128 & 1 & 0.603798 & 0.396202 \tabularnewline
129 & 1 & 0.517171 & 0.482829 \tabularnewline
130 & 1 & 0.138387 & 0.861613 \tabularnewline
131 & 1 & 0.714881 & 0.285119 \tabularnewline
132 & 1 & 0.419391 & 0.580609 \tabularnewline
133 & 1 & 0.623937 & 0.376063 \tabularnewline
134 & 1 & 0.750017 & 0.249983 \tabularnewline
135 & 1 & 0.272002 & 0.727998 \tabularnewline
136 & 1 & 0.565544 & 0.434456 \tabularnewline
137 & 1 & 0.337162 & 0.662838 \tabularnewline
138 & 1 & 0.515911 & 0.484089 \tabularnewline
139 & 1 & 0.291623 & 0.708377 \tabularnewline
140 & 1 & 0.630152 & 0.369848 \tabularnewline
141 & 1 & 0.534202 & 0.465798 \tabularnewline
142 & 1 & 0.810976 & 0.189024 \tabularnewline
143 & 1 & 0.616547 & 0.383453 \tabularnewline
144 & 1 & 0.535891 & 0.464109 \tabularnewline
145 & 1 & 0.891113 & 0.108887 \tabularnewline
146 & 1 & 0.433673 & 0.566327 \tabularnewline
147 & 1 & 0.540879 & 0.459121 \tabularnewline
148 & 1 & 0.267216 & 0.732784 \tabularnewline
149 & 1 & 0.477738 & 0.522262 \tabularnewline
150 & 1 & 0.772746 & 0.227254 \tabularnewline
151 & 1 & 0.613783 & 0.386217 \tabularnewline
152 & 1 & 0.492112 & 0.507888 \tabularnewline
153 & 1 & 0.405637 & 0.594363 \tabularnewline
154 & 1 & 0.351063 & 0.648937 \tabularnewline
155 & 1 & 0.423054 & 0.576946 \tabularnewline
156 & 1 & 0.775888 & 0.224112 \tabularnewline
157 & 1 & 0.668619 & 0.331381 \tabularnewline
158 & 1 & 0.371168 & 0.628832 \tabularnewline
159 & 0 & 0.250313 & -0.250313 \tabularnewline
160 & 0 & 0.343698 & -0.343698 \tabularnewline
161 & 0 & 0.843792 & -0.843792 \tabularnewline
162 & 0 & 0.488187 & -0.488187 \tabularnewline
163 & 0 & 0.0817021 & -0.0817021 \tabularnewline
164 & 0 & 0.486875 & -0.486875 \tabularnewline
165 & 0 & 0.396631 & -0.396631 \tabularnewline
166 & 0 & 0.437463 & -0.437463 \tabularnewline
167 & 0 & 0.372446 & -0.372446 \tabularnewline
168 & 0 & 0.209465 & -0.209465 \tabularnewline
169 & 0 & 0.823213 & -0.823213 \tabularnewline
170 & 0 & 0.322309 & -0.322309 \tabularnewline
171 & 0 & 0.247052 & -0.247052 \tabularnewline
172 & 0 & 0.684381 & -0.684381 \tabularnewline
173 & 0 & 0.507579 & -0.507579 \tabularnewline
174 & 0 & 0.322096 & -0.322096 \tabularnewline
175 & 0 & 0.285911 & -0.285911 \tabularnewline
176 & 0 & 0.642517 & -0.642517 \tabularnewline
177 & 0 & 0.430571 & -0.430571 \tabularnewline
178 & 0 & 0.751928 & -0.751928 \tabularnewline
179 & 0 & 0.25294 & -0.25294 \tabularnewline
180 & 0 & 0.830937 & -0.830937 \tabularnewline
181 & 0 & 0.641003 & -0.641003 \tabularnewline
182 & 0 & 0.384278 & -0.384278 \tabularnewline
183 & 0 & 0.672097 & -0.672097 \tabularnewline
184 & 0 & 0.661842 & -0.661842 \tabularnewline
185 & 0 & 0.533388 & -0.533388 \tabularnewline
186 & 0 & 0.207225 & -0.207225 \tabularnewline
187 & 0 & 0.11348 & -0.11348 \tabularnewline
188 & 0 & 0.526379 & -0.526379 \tabularnewline
189 & 0 & 0.770146 & -0.770146 \tabularnewline
190 & 0 & 0.339067 & -0.339067 \tabularnewline
191 & 0 & 0.602795 & -0.602795 \tabularnewline
192 & 0 & 0.579679 & -0.579679 \tabularnewline
193 & 0 & 0.552401 & -0.552401 \tabularnewline
194 & 0 & 0.647647 & -0.647647 \tabularnewline
195 & 0 & 0.718216 & -0.718216 \tabularnewline
196 & 0 & 0.245099 & -0.245099 \tabularnewline
197 & 0 & 0.411629 & -0.411629 \tabularnewline
198 & 0 & 0.431121 & -0.431121 \tabularnewline
199 & 0 & 0.472465 & -0.472465 \tabularnewline
200 & 0 & 0.450892 & -0.450892 \tabularnewline
201 & 0 & 0.604325 & -0.604325 \tabularnewline
202 & 0 & 0.700409 & -0.700409 \tabularnewline
203 & 0 & 0.711091 & -0.711091 \tabularnewline
204 & 0 & 0.713514 & -0.713514 \tabularnewline
205 & 0 & 0.377103 & -0.377103 \tabularnewline
206 & 0 & 0.610574 & -0.610574 \tabularnewline
207 & 0 & 0.405263 & -0.405263 \tabularnewline
208 & 0 & 0.624776 & -0.624776 \tabularnewline
209 & 0 & 0.431733 & -0.431733 \tabularnewline
210 & 0 & 0.293178 & -0.293178 \tabularnewline
211 & 0 & 0.63361 & -0.63361 \tabularnewline
212 & 0 & 0.479413 & -0.479413 \tabularnewline
213 & 0 & 0.836105 & -0.836105 \tabularnewline
214 & 0 & 0.655048 & -0.655048 \tabularnewline
215 & 0 & 0.210322 & -0.210322 \tabularnewline
216 & 0 & 0.74853 & -0.74853 \tabularnewline
217 & 0 & 0.425476 & -0.425476 \tabularnewline
218 & 0 & 0.61481 & -0.61481 \tabularnewline
219 & 0 & 0.541621 & -0.541621 \tabularnewline
220 & 0 & 0.403316 & -0.403316 \tabularnewline
221 & 0 & 0.312364 & -0.312364 \tabularnewline
222 & 0 & 0.650223 & -0.650223 \tabularnewline
223 & 0 & 0.388582 & -0.388582 \tabularnewline
224 & 0 & 0.145752 & -0.145752 \tabularnewline
225 & 0 & 0.288984 & -0.288984 \tabularnewline
226 & 0 & 0.451304 & -0.451304 \tabularnewline
227 & 0 & 0.158589 & -0.158589 \tabularnewline
228 & 0 & 0.472491 & -0.472491 \tabularnewline
229 & 0 & 0.904733 & -0.904733 \tabularnewline
230 & 0 & 0.637644 & -0.637644 \tabularnewline
231 & 0 & 0.30673 & -0.30673 \tabularnewline
232 & 0 & -0.0186127 & 0.0186127 \tabularnewline
233 & 0 & 0.514078 & -0.514078 \tabularnewline
234 & 0 & 0.535561 & -0.535561 \tabularnewline
235 & 0 & 0.19484 & -0.19484 \tabularnewline
236 & 0 & 0.222296 & -0.222296 \tabularnewline
237 & 0 & 0.249604 & -0.249604 \tabularnewline
238 & 0 & 0.0183998 & -0.0183998 \tabularnewline
239 & 0 & 0.287626 & -0.287626 \tabularnewline
240 & 0 & 0.205327 & -0.205327 \tabularnewline
241 & 0 & 0.412836 & -0.412836 \tabularnewline
242 & 0 & 0.448041 & -0.448041 \tabularnewline
243 & 0 & 0.172344 & -0.172344 \tabularnewline
244 & 0 & 0.296312 & -0.296312 \tabularnewline
245 & 0 & 0.306749 & -0.306749 \tabularnewline
246 & 0 & 0.221482 & -0.221482 \tabularnewline
247 & 0 & 0.396664 & -0.396664 \tabularnewline
248 & 0 & 0.599703 & -0.599703 \tabularnewline
249 & 0 & 0.388698 & -0.388698 \tabularnewline
250 & 0 & 0.45841 & -0.45841 \tabularnewline
251 & 0 & 0.45991 & -0.45991 \tabularnewline
252 & 0 & 0.33093 & -0.33093 \tabularnewline
253 & 0 & 0.661512 & -0.661512 \tabularnewline
254 & 0 & -0.0999727 & 0.0999727 \tabularnewline
255 & 0 & 0.593251 & -0.593251 \tabularnewline
256 & 0 & 0.480858 & -0.480858 \tabularnewline
257 & 0 & 0.114532 & -0.114532 \tabularnewline
258 & 0 & 0.418872 & -0.418872 \tabularnewline
259 & 0 & 0.422586 & -0.422586 \tabularnewline
260 & 0 & 0.398916 & -0.398916 \tabularnewline
261 & 0 & 0.321091 & -0.321091 \tabularnewline
262 & 0 & 0.320032 & -0.320032 \tabularnewline
263 & 0 & 0.644776 & -0.644776 \tabularnewline
264 & 0 & 0.0766759 & -0.0766759 \tabularnewline
265 & 0 & 0.314793 & -0.314793 \tabularnewline
266 & 0 & 0.432192 & -0.432192 \tabularnewline
267 & 0 & 0.624483 & -0.624483 \tabularnewline
268 & 0 & 0.257918 & -0.257918 \tabularnewline
269 & 0 & 0.704896 & -0.704896 \tabularnewline
270 & 0 & 0.618904 & -0.618904 \tabularnewline
271 & 0 & 0.133289 & -0.133289 \tabularnewline
272 & 0 & 0.256822 & -0.256822 \tabularnewline
273 & 0 & 0.558008 & -0.558008 \tabularnewline
274 & 0 & -0.02797 & 0.02797 \tabularnewline
275 & 0 & 0.516419 & -0.516419 \tabularnewline
276 & 0 & -0.10238 & 0.10238 \tabularnewline
277 & 0 & 0.477112 & -0.477112 \tabularnewline
278 & 0 & 0.579213 & -0.579213 \tabularnewline
279 & 0 & 0.683531 & -0.683531 \tabularnewline
280 & 0 & 0.284111 & -0.284111 \tabularnewline
281 & 0 & 0.714774 & -0.714774 \tabularnewline
282 & 0 & 0.63623 & -0.63623 \tabularnewline
283 & 0 & 0.290122 & -0.290122 \tabularnewline
284 & 0 & -0.0677123 & 0.0677123 \tabularnewline
285 & 0 & 0.705636 & -0.705636 \tabularnewline
286 & 0 & 0.416912 & -0.416912 \tabularnewline
287 & 0 & 0.623791 & -0.623791 \tabularnewline
288 & 0 & 0.615545 & -0.615545 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231695&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]1[/C][C]0.694489[/C][C]0.305511[/C][/ROW]
[ROW][C]2[/C][C]1[/C][C]0.903778[/C][C]0.0962215[/C][/ROW]
[ROW][C]3[/C][C]1[/C][C]0.776199[/C][C]0.223801[/C][/ROW]
[ROW][C]4[/C][C]1[/C][C]0.317414[/C][C]0.682586[/C][/ROW]
[ROW][C]5[/C][C]1[/C][C]0.756818[/C][C]0.243182[/C][/ROW]
[ROW][C]6[/C][C]1[/C][C]0.723511[/C][C]0.276489[/C][/ROW]
[ROW][C]7[/C][C]1[/C][C]0.899567[/C][C]0.100433[/C][/ROW]
[ROW][C]8[/C][C]1[/C][C]0.751284[/C][C]0.248716[/C][/ROW]
[ROW][C]9[/C][C]1[/C][C]0.715418[/C][C]0.284582[/C][/ROW]
[ROW][C]10[/C][C]1[/C][C]0.673401[/C][C]0.326599[/C][/ROW]
[ROW][C]11[/C][C]1[/C][C]0.728989[/C][C]0.271011[/C][/ROW]
[ROW][C]12[/C][C]1[/C][C]0.934246[/C][C]0.0657543[/C][/ROW]
[ROW][C]13[/C][C]1[/C][C]0.530632[/C][C]0.469368[/C][/ROW]
[ROW][C]14[/C][C]1[/C][C]0.826109[/C][C]0.173891[/C][/ROW]
[ROW][C]15[/C][C]1[/C][C]0.986346[/C][C]0.0136538[/C][/ROW]
[ROW][C]16[/C][C]1[/C][C]0.574493[/C][C]0.425507[/C][/ROW]
[ROW][C]17[/C][C]1[/C][C]0.561154[/C][C]0.438846[/C][/ROW]
[ROW][C]18[/C][C]1[/C][C]1.02731[/C][C]-0.0273063[/C][/ROW]
[ROW][C]19[/C][C]1[/C][C]0.727753[/C][C]0.272247[/C][/ROW]
[ROW][C]20[/C][C]1[/C][C]0.784041[/C][C]0.215959[/C][/ROW]
[ROW][C]21[/C][C]1[/C][C]0.726657[/C][C]0.273343[/C][/ROW]
[ROW][C]22[/C][C]1[/C][C]0.593526[/C][C]0.406474[/C][/ROW]
[ROW][C]23[/C][C]1[/C][C]0.922174[/C][C]0.0778257[/C][/ROW]
[ROW][C]24[/C][C]1[/C][C]0.658935[/C][C]0.341065[/C][/ROW]
[ROW][C]25[/C][C]1[/C][C]0.833753[/C][C]0.166247[/C][/ROW]
[ROW][C]26[/C][C]1[/C][C]0.695498[/C][C]0.304502[/C][/ROW]
[ROW][C]27[/C][C]1[/C][C]0.667376[/C][C]0.332624[/C][/ROW]
[ROW][C]28[/C][C]1[/C][C]0.739439[/C][C]0.260561[/C][/ROW]
[ROW][C]29[/C][C]1[/C][C]0.757963[/C][C]0.242037[/C][/ROW]
[ROW][C]30[/C][C]1[/C][C]0.39332[/C][C]0.60668[/C][/ROW]
[ROW][C]31[/C][C]1[/C][C]0.73726[/C][C]0.26274[/C][/ROW]
[ROW][C]32[/C][C]1[/C][C]0.258395[/C][C]0.741605[/C][/ROW]
[ROW][C]33[/C][C]1[/C][C]0.744214[/C][C]0.255786[/C][/ROW]
[ROW][C]34[/C][C]1[/C][C]0.765248[/C][C]0.234752[/C][/ROW]
[ROW][C]35[/C][C]1[/C][C]0.562335[/C][C]0.437665[/C][/ROW]
[ROW][C]36[/C][C]1[/C][C]0.317933[/C][C]0.682067[/C][/ROW]
[ROW][C]37[/C][C]1[/C][C]0.0922491[/C][C]0.907751[/C][/ROW]
[ROW][C]38[/C][C]1[/C][C]0.617564[/C][C]0.382436[/C][/ROW]
[ROW][C]39[/C][C]1[/C][C]0.73027[/C][C]0.26973[/C][/ROW]
[ROW][C]40[/C][C]1[/C][C]0.54997[/C][C]0.45003[/C][/ROW]
[ROW][C]41[/C][C]1[/C][C]0.644946[/C][C]0.355054[/C][/ROW]
[ROW][C]42[/C][C]1[/C][C]0.731475[/C][C]0.268525[/C][/ROW]
[ROW][C]43[/C][C]1[/C][C]0.983976[/C][C]0.0160244[/C][/ROW]
[ROW][C]44[/C][C]1[/C][C]0.440352[/C][C]0.559648[/C][/ROW]
[ROW][C]45[/C][C]1[/C][C]0.685685[/C][C]0.314315[/C][/ROW]
[ROW][C]46[/C][C]1[/C][C]0.471676[/C][C]0.528324[/C][/ROW]
[ROW][C]47[/C][C]1[/C][C]0.762628[/C][C]0.237372[/C][/ROW]
[ROW][C]48[/C][C]1[/C][C]0.6913[/C][C]0.3087[/C][/ROW]
[ROW][C]49[/C][C]1[/C][C]0.829409[/C][C]0.170591[/C][/ROW]
[ROW][C]50[/C][C]1[/C][C]0.568144[/C][C]0.431856[/C][/ROW]
[ROW][C]51[/C][C]1[/C][C]0.836552[/C][C]0.163448[/C][/ROW]
[ROW][C]52[/C][C]1[/C][C]0.482486[/C][C]0.517514[/C][/ROW]
[ROW][C]53[/C][C]1[/C][C]0.355916[/C][C]0.644084[/C][/ROW]
[ROW][C]54[/C][C]1[/C][C]0.685031[/C][C]0.314969[/C][/ROW]
[ROW][C]55[/C][C]1[/C][C]0.0797069[/C][C]0.920293[/C][/ROW]
[ROW][C]56[/C][C]1[/C][C]0.552402[/C][C]0.447598[/C][/ROW]
[ROW][C]57[/C][C]1[/C][C]0.858748[/C][C]0.141252[/C][/ROW]
[ROW][C]58[/C][C]1[/C][C]0.713319[/C][C]0.286681[/C][/ROW]
[ROW][C]59[/C][C]1[/C][C]0.525233[/C][C]0.474767[/C][/ROW]
[ROW][C]60[/C][C]1[/C][C]0.612638[/C][C]0.387362[/C][/ROW]
[ROW][C]61[/C][C]1[/C][C]0.0853565[/C][C]0.914643[/C][/ROW]
[ROW][C]62[/C][C]1[/C][C]0.639841[/C][C]0.360159[/C][/ROW]
[ROW][C]63[/C][C]1[/C][C]0.68066[/C][C]0.31934[/C][/ROW]
[ROW][C]64[/C][C]1[/C][C]0.595663[/C][C]0.404337[/C][/ROW]
[ROW][C]65[/C][C]1[/C][C]0.77072[/C][C]0.22928[/C][/ROW]
[ROW][C]66[/C][C]1[/C][C]0.56176[/C][C]0.43824[/C][/ROW]
[ROW][C]67[/C][C]1[/C][C]0.776046[/C][C]0.223954[/C][/ROW]
[ROW][C]68[/C][C]1[/C][C]0.56719[/C][C]0.43281[/C][/ROW]
[ROW][C]69[/C][C]1[/C][C]0.670137[/C][C]0.329863[/C][/ROW]
[ROW][C]70[/C][C]1[/C][C]0.676503[/C][C]0.323497[/C][/ROW]
[ROW][C]71[/C][C]1[/C][C]0.337589[/C][C]0.662411[/C][/ROW]
[ROW][C]72[/C][C]1[/C][C]0.665124[/C][C]0.334876[/C][/ROW]
[ROW][C]73[/C][C]1[/C][C]0.894927[/C][C]0.105073[/C][/ROW]
[ROW][C]74[/C][C]1[/C][C]0.837157[/C][C]0.162843[/C][/ROW]
[ROW][C]75[/C][C]1[/C][C]0.602492[/C][C]0.397508[/C][/ROW]
[ROW][C]76[/C][C]1[/C][C]0.667787[/C][C]0.332213[/C][/ROW]
[ROW][C]77[/C][C]1[/C][C]0.899237[/C][C]0.100763[/C][/ROW]
[ROW][C]78[/C][C]1[/C][C]0.669531[/C][C]0.330469[/C][/ROW]
[ROW][C]79[/C][C]1[/C][C]0.495164[/C][C]0.504836[/C][/ROW]
[ROW][C]80[/C][C]1[/C][C]0.635291[/C][C]0.364709[/C][/ROW]
[ROW][C]81[/C][C]1[/C][C]0.655549[/C][C]0.344451[/C][/ROW]
[ROW][C]82[/C][C]1[/C][C]0.776181[/C][C]0.223819[/C][/ROW]
[ROW][C]83[/C][C]1[/C][C]0.701356[/C][C]0.298644[/C][/ROW]
[ROW][C]84[/C][C]1[/C][C]0.680367[/C][C]0.319633[/C][/ROW]
[ROW][C]85[/C][C]1[/C][C]0.665705[/C][C]0.334295[/C][/ROW]
[ROW][C]86[/C][C]1[/C][C]0.546984[/C][C]0.453016[/C][/ROW]
[ROW][C]87[/C][C]1[/C][C]0.720952[/C][C]0.279048[/C][/ROW]
[ROW][C]88[/C][C]1[/C][C]0.642945[/C][C]0.357055[/C][/ROW]
[ROW][C]89[/C][C]1[/C][C]0.432412[/C][C]0.567588[/C][/ROW]
[ROW][C]90[/C][C]1[/C][C]0.571544[/C][C]0.428456[/C][/ROW]
[ROW][C]91[/C][C]1[/C][C]0.843211[/C][C]0.156789[/C][/ROW]
[ROW][C]92[/C][C]1[/C][C]0.772533[/C][C]0.227467[/C][/ROW]
[ROW][C]93[/C][C]1[/C][C]0.678731[/C][C]0.321269[/C][/ROW]
[ROW][C]94[/C][C]1[/C][C]0.534489[/C][C]0.465511[/C][/ROW]
[ROW][C]95[/C][C]1[/C][C]0.798941[/C][C]0.201059[/C][/ROW]
[ROW][C]96[/C][C]1[/C][C]0.720566[/C][C]0.279434[/C][/ROW]
[ROW][C]97[/C][C]1[/C][C]0.65858[/C][C]0.34142[/C][/ROW]
[ROW][C]98[/C][C]1[/C][C]0.773303[/C][C]0.226697[/C][/ROW]
[ROW][C]99[/C][C]1[/C][C]0.513113[/C][C]0.486887[/C][/ROW]
[ROW][C]100[/C][C]1[/C][C]0.940073[/C][C]0.059927[/C][/ROW]
[ROW][C]101[/C][C]1[/C][C]0.562905[/C][C]0.437095[/C][/ROW]
[ROW][C]102[/C][C]1[/C][C]1.05723[/C][C]-0.0572278[/C][/ROW]
[ROW][C]103[/C][C]1[/C][C]0.441765[/C][C]0.558235[/C][/ROW]
[ROW][C]104[/C][C]1[/C][C]0.7235[/C][C]0.2765[/C][/ROW]
[ROW][C]105[/C][C]1[/C][C]0.408855[/C][C]0.591145[/C][/ROW]
[ROW][C]106[/C][C]1[/C][C]0.883663[/C][C]0.116337[/C][/ROW]
[ROW][C]107[/C][C]1[/C][C]0.740277[/C][C]0.259723[/C][/ROW]
[ROW][C]108[/C][C]1[/C][C]0.479775[/C][C]0.520225[/C][/ROW]
[ROW][C]109[/C][C]1[/C][C]0.386594[/C][C]0.613406[/C][/ROW]
[ROW][C]110[/C][C]1[/C][C]0.724252[/C][C]0.275748[/C][/ROW]
[ROW][C]111[/C][C]1[/C][C]0.649685[/C][C]0.350315[/C][/ROW]
[ROW][C]112[/C][C]1[/C][C]0.675305[/C][C]0.324695[/C][/ROW]
[ROW][C]113[/C][C]1[/C][C]0.704057[/C][C]0.295943[/C][/ROW]
[ROW][C]114[/C][C]1[/C][C]0.84154[/C][C]0.15846[/C][/ROW]
[ROW][C]115[/C][C]1[/C][C]0.670952[/C][C]0.329048[/C][/ROW]
[ROW][C]116[/C][C]1[/C][C]0.536927[/C][C]0.463073[/C][/ROW]
[ROW][C]117[/C][C]1[/C][C]0.580769[/C][C]0.419231[/C][/ROW]
[ROW][C]118[/C][C]1[/C][C]0.773794[/C][C]0.226206[/C][/ROW]
[ROW][C]119[/C][C]1[/C][C]0.407069[/C][C]0.592931[/C][/ROW]
[ROW][C]120[/C][C]1[/C][C]0.734462[/C][C]0.265538[/C][/ROW]
[ROW][C]121[/C][C]1[/C][C]0.696876[/C][C]0.303124[/C][/ROW]
[ROW][C]122[/C][C]1[/C][C]0.855118[/C][C]0.144882[/C][/ROW]
[ROW][C]123[/C][C]1[/C][C]0.784818[/C][C]0.215182[/C][/ROW]
[ROW][C]124[/C][C]1[/C][C]0.750874[/C][C]0.249126[/C][/ROW]
[ROW][C]125[/C][C]1[/C][C]0.70225[/C][C]0.29775[/C][/ROW]
[ROW][C]126[/C][C]1[/C][C]0.952721[/C][C]0.0472791[/C][/ROW]
[ROW][C]127[/C][C]1[/C][C]0.775888[/C][C]0.224112[/C][/ROW]
[ROW][C]128[/C][C]1[/C][C]0.603798[/C][C]0.396202[/C][/ROW]
[ROW][C]129[/C][C]1[/C][C]0.517171[/C][C]0.482829[/C][/ROW]
[ROW][C]130[/C][C]1[/C][C]0.138387[/C][C]0.861613[/C][/ROW]
[ROW][C]131[/C][C]1[/C][C]0.714881[/C][C]0.285119[/C][/ROW]
[ROW][C]132[/C][C]1[/C][C]0.419391[/C][C]0.580609[/C][/ROW]
[ROW][C]133[/C][C]1[/C][C]0.623937[/C][C]0.376063[/C][/ROW]
[ROW][C]134[/C][C]1[/C][C]0.750017[/C][C]0.249983[/C][/ROW]
[ROW][C]135[/C][C]1[/C][C]0.272002[/C][C]0.727998[/C][/ROW]
[ROW][C]136[/C][C]1[/C][C]0.565544[/C][C]0.434456[/C][/ROW]
[ROW][C]137[/C][C]1[/C][C]0.337162[/C][C]0.662838[/C][/ROW]
[ROW][C]138[/C][C]1[/C][C]0.515911[/C][C]0.484089[/C][/ROW]
[ROW][C]139[/C][C]1[/C][C]0.291623[/C][C]0.708377[/C][/ROW]
[ROW][C]140[/C][C]1[/C][C]0.630152[/C][C]0.369848[/C][/ROW]
[ROW][C]141[/C][C]1[/C][C]0.534202[/C][C]0.465798[/C][/ROW]
[ROW][C]142[/C][C]1[/C][C]0.810976[/C][C]0.189024[/C][/ROW]
[ROW][C]143[/C][C]1[/C][C]0.616547[/C][C]0.383453[/C][/ROW]
[ROW][C]144[/C][C]1[/C][C]0.535891[/C][C]0.464109[/C][/ROW]
[ROW][C]145[/C][C]1[/C][C]0.891113[/C][C]0.108887[/C][/ROW]
[ROW][C]146[/C][C]1[/C][C]0.433673[/C][C]0.566327[/C][/ROW]
[ROW][C]147[/C][C]1[/C][C]0.540879[/C][C]0.459121[/C][/ROW]
[ROW][C]148[/C][C]1[/C][C]0.267216[/C][C]0.732784[/C][/ROW]
[ROW][C]149[/C][C]1[/C][C]0.477738[/C][C]0.522262[/C][/ROW]
[ROW][C]150[/C][C]1[/C][C]0.772746[/C][C]0.227254[/C][/ROW]
[ROW][C]151[/C][C]1[/C][C]0.613783[/C][C]0.386217[/C][/ROW]
[ROW][C]152[/C][C]1[/C][C]0.492112[/C][C]0.507888[/C][/ROW]
[ROW][C]153[/C][C]1[/C][C]0.405637[/C][C]0.594363[/C][/ROW]
[ROW][C]154[/C][C]1[/C][C]0.351063[/C][C]0.648937[/C][/ROW]
[ROW][C]155[/C][C]1[/C][C]0.423054[/C][C]0.576946[/C][/ROW]
[ROW][C]156[/C][C]1[/C][C]0.775888[/C][C]0.224112[/C][/ROW]
[ROW][C]157[/C][C]1[/C][C]0.668619[/C][C]0.331381[/C][/ROW]
[ROW][C]158[/C][C]1[/C][C]0.371168[/C][C]0.628832[/C][/ROW]
[ROW][C]159[/C][C]0[/C][C]0.250313[/C][C]-0.250313[/C][/ROW]
[ROW][C]160[/C][C]0[/C][C]0.343698[/C][C]-0.343698[/C][/ROW]
[ROW][C]161[/C][C]0[/C][C]0.843792[/C][C]-0.843792[/C][/ROW]
[ROW][C]162[/C][C]0[/C][C]0.488187[/C][C]-0.488187[/C][/ROW]
[ROW][C]163[/C][C]0[/C][C]0.0817021[/C][C]-0.0817021[/C][/ROW]
[ROW][C]164[/C][C]0[/C][C]0.486875[/C][C]-0.486875[/C][/ROW]
[ROW][C]165[/C][C]0[/C][C]0.396631[/C][C]-0.396631[/C][/ROW]
[ROW][C]166[/C][C]0[/C][C]0.437463[/C][C]-0.437463[/C][/ROW]
[ROW][C]167[/C][C]0[/C][C]0.372446[/C][C]-0.372446[/C][/ROW]
[ROW][C]168[/C][C]0[/C][C]0.209465[/C][C]-0.209465[/C][/ROW]
[ROW][C]169[/C][C]0[/C][C]0.823213[/C][C]-0.823213[/C][/ROW]
[ROW][C]170[/C][C]0[/C][C]0.322309[/C][C]-0.322309[/C][/ROW]
[ROW][C]171[/C][C]0[/C][C]0.247052[/C][C]-0.247052[/C][/ROW]
[ROW][C]172[/C][C]0[/C][C]0.684381[/C][C]-0.684381[/C][/ROW]
[ROW][C]173[/C][C]0[/C][C]0.507579[/C][C]-0.507579[/C][/ROW]
[ROW][C]174[/C][C]0[/C][C]0.322096[/C][C]-0.322096[/C][/ROW]
[ROW][C]175[/C][C]0[/C][C]0.285911[/C][C]-0.285911[/C][/ROW]
[ROW][C]176[/C][C]0[/C][C]0.642517[/C][C]-0.642517[/C][/ROW]
[ROW][C]177[/C][C]0[/C][C]0.430571[/C][C]-0.430571[/C][/ROW]
[ROW][C]178[/C][C]0[/C][C]0.751928[/C][C]-0.751928[/C][/ROW]
[ROW][C]179[/C][C]0[/C][C]0.25294[/C][C]-0.25294[/C][/ROW]
[ROW][C]180[/C][C]0[/C][C]0.830937[/C][C]-0.830937[/C][/ROW]
[ROW][C]181[/C][C]0[/C][C]0.641003[/C][C]-0.641003[/C][/ROW]
[ROW][C]182[/C][C]0[/C][C]0.384278[/C][C]-0.384278[/C][/ROW]
[ROW][C]183[/C][C]0[/C][C]0.672097[/C][C]-0.672097[/C][/ROW]
[ROW][C]184[/C][C]0[/C][C]0.661842[/C][C]-0.661842[/C][/ROW]
[ROW][C]185[/C][C]0[/C][C]0.533388[/C][C]-0.533388[/C][/ROW]
[ROW][C]186[/C][C]0[/C][C]0.207225[/C][C]-0.207225[/C][/ROW]
[ROW][C]187[/C][C]0[/C][C]0.11348[/C][C]-0.11348[/C][/ROW]
[ROW][C]188[/C][C]0[/C][C]0.526379[/C][C]-0.526379[/C][/ROW]
[ROW][C]189[/C][C]0[/C][C]0.770146[/C][C]-0.770146[/C][/ROW]
[ROW][C]190[/C][C]0[/C][C]0.339067[/C][C]-0.339067[/C][/ROW]
[ROW][C]191[/C][C]0[/C][C]0.602795[/C][C]-0.602795[/C][/ROW]
[ROW][C]192[/C][C]0[/C][C]0.579679[/C][C]-0.579679[/C][/ROW]
[ROW][C]193[/C][C]0[/C][C]0.552401[/C][C]-0.552401[/C][/ROW]
[ROW][C]194[/C][C]0[/C][C]0.647647[/C][C]-0.647647[/C][/ROW]
[ROW][C]195[/C][C]0[/C][C]0.718216[/C][C]-0.718216[/C][/ROW]
[ROW][C]196[/C][C]0[/C][C]0.245099[/C][C]-0.245099[/C][/ROW]
[ROW][C]197[/C][C]0[/C][C]0.411629[/C][C]-0.411629[/C][/ROW]
[ROW][C]198[/C][C]0[/C][C]0.431121[/C][C]-0.431121[/C][/ROW]
[ROW][C]199[/C][C]0[/C][C]0.472465[/C][C]-0.472465[/C][/ROW]
[ROW][C]200[/C][C]0[/C][C]0.450892[/C][C]-0.450892[/C][/ROW]
[ROW][C]201[/C][C]0[/C][C]0.604325[/C][C]-0.604325[/C][/ROW]
[ROW][C]202[/C][C]0[/C][C]0.700409[/C][C]-0.700409[/C][/ROW]
[ROW][C]203[/C][C]0[/C][C]0.711091[/C][C]-0.711091[/C][/ROW]
[ROW][C]204[/C][C]0[/C][C]0.713514[/C][C]-0.713514[/C][/ROW]
[ROW][C]205[/C][C]0[/C][C]0.377103[/C][C]-0.377103[/C][/ROW]
[ROW][C]206[/C][C]0[/C][C]0.610574[/C][C]-0.610574[/C][/ROW]
[ROW][C]207[/C][C]0[/C][C]0.405263[/C][C]-0.405263[/C][/ROW]
[ROW][C]208[/C][C]0[/C][C]0.624776[/C][C]-0.624776[/C][/ROW]
[ROW][C]209[/C][C]0[/C][C]0.431733[/C][C]-0.431733[/C][/ROW]
[ROW][C]210[/C][C]0[/C][C]0.293178[/C][C]-0.293178[/C][/ROW]
[ROW][C]211[/C][C]0[/C][C]0.63361[/C][C]-0.63361[/C][/ROW]
[ROW][C]212[/C][C]0[/C][C]0.479413[/C][C]-0.479413[/C][/ROW]
[ROW][C]213[/C][C]0[/C][C]0.836105[/C][C]-0.836105[/C][/ROW]
[ROW][C]214[/C][C]0[/C][C]0.655048[/C][C]-0.655048[/C][/ROW]
[ROW][C]215[/C][C]0[/C][C]0.210322[/C][C]-0.210322[/C][/ROW]
[ROW][C]216[/C][C]0[/C][C]0.74853[/C][C]-0.74853[/C][/ROW]
[ROW][C]217[/C][C]0[/C][C]0.425476[/C][C]-0.425476[/C][/ROW]
[ROW][C]218[/C][C]0[/C][C]0.61481[/C][C]-0.61481[/C][/ROW]
[ROW][C]219[/C][C]0[/C][C]0.541621[/C][C]-0.541621[/C][/ROW]
[ROW][C]220[/C][C]0[/C][C]0.403316[/C][C]-0.403316[/C][/ROW]
[ROW][C]221[/C][C]0[/C][C]0.312364[/C][C]-0.312364[/C][/ROW]
[ROW][C]222[/C][C]0[/C][C]0.650223[/C][C]-0.650223[/C][/ROW]
[ROW][C]223[/C][C]0[/C][C]0.388582[/C][C]-0.388582[/C][/ROW]
[ROW][C]224[/C][C]0[/C][C]0.145752[/C][C]-0.145752[/C][/ROW]
[ROW][C]225[/C][C]0[/C][C]0.288984[/C][C]-0.288984[/C][/ROW]
[ROW][C]226[/C][C]0[/C][C]0.451304[/C][C]-0.451304[/C][/ROW]
[ROW][C]227[/C][C]0[/C][C]0.158589[/C][C]-0.158589[/C][/ROW]
[ROW][C]228[/C][C]0[/C][C]0.472491[/C][C]-0.472491[/C][/ROW]
[ROW][C]229[/C][C]0[/C][C]0.904733[/C][C]-0.904733[/C][/ROW]
[ROW][C]230[/C][C]0[/C][C]0.637644[/C][C]-0.637644[/C][/ROW]
[ROW][C]231[/C][C]0[/C][C]0.30673[/C][C]-0.30673[/C][/ROW]
[ROW][C]232[/C][C]0[/C][C]-0.0186127[/C][C]0.0186127[/C][/ROW]
[ROW][C]233[/C][C]0[/C][C]0.514078[/C][C]-0.514078[/C][/ROW]
[ROW][C]234[/C][C]0[/C][C]0.535561[/C][C]-0.535561[/C][/ROW]
[ROW][C]235[/C][C]0[/C][C]0.19484[/C][C]-0.19484[/C][/ROW]
[ROW][C]236[/C][C]0[/C][C]0.222296[/C][C]-0.222296[/C][/ROW]
[ROW][C]237[/C][C]0[/C][C]0.249604[/C][C]-0.249604[/C][/ROW]
[ROW][C]238[/C][C]0[/C][C]0.0183998[/C][C]-0.0183998[/C][/ROW]
[ROW][C]239[/C][C]0[/C][C]0.287626[/C][C]-0.287626[/C][/ROW]
[ROW][C]240[/C][C]0[/C][C]0.205327[/C][C]-0.205327[/C][/ROW]
[ROW][C]241[/C][C]0[/C][C]0.412836[/C][C]-0.412836[/C][/ROW]
[ROW][C]242[/C][C]0[/C][C]0.448041[/C][C]-0.448041[/C][/ROW]
[ROW][C]243[/C][C]0[/C][C]0.172344[/C][C]-0.172344[/C][/ROW]
[ROW][C]244[/C][C]0[/C][C]0.296312[/C][C]-0.296312[/C][/ROW]
[ROW][C]245[/C][C]0[/C][C]0.306749[/C][C]-0.306749[/C][/ROW]
[ROW][C]246[/C][C]0[/C][C]0.221482[/C][C]-0.221482[/C][/ROW]
[ROW][C]247[/C][C]0[/C][C]0.396664[/C][C]-0.396664[/C][/ROW]
[ROW][C]248[/C][C]0[/C][C]0.599703[/C][C]-0.599703[/C][/ROW]
[ROW][C]249[/C][C]0[/C][C]0.388698[/C][C]-0.388698[/C][/ROW]
[ROW][C]250[/C][C]0[/C][C]0.45841[/C][C]-0.45841[/C][/ROW]
[ROW][C]251[/C][C]0[/C][C]0.45991[/C][C]-0.45991[/C][/ROW]
[ROW][C]252[/C][C]0[/C][C]0.33093[/C][C]-0.33093[/C][/ROW]
[ROW][C]253[/C][C]0[/C][C]0.661512[/C][C]-0.661512[/C][/ROW]
[ROW][C]254[/C][C]0[/C][C]-0.0999727[/C][C]0.0999727[/C][/ROW]
[ROW][C]255[/C][C]0[/C][C]0.593251[/C][C]-0.593251[/C][/ROW]
[ROW][C]256[/C][C]0[/C][C]0.480858[/C][C]-0.480858[/C][/ROW]
[ROW][C]257[/C][C]0[/C][C]0.114532[/C][C]-0.114532[/C][/ROW]
[ROW][C]258[/C][C]0[/C][C]0.418872[/C][C]-0.418872[/C][/ROW]
[ROW][C]259[/C][C]0[/C][C]0.422586[/C][C]-0.422586[/C][/ROW]
[ROW][C]260[/C][C]0[/C][C]0.398916[/C][C]-0.398916[/C][/ROW]
[ROW][C]261[/C][C]0[/C][C]0.321091[/C][C]-0.321091[/C][/ROW]
[ROW][C]262[/C][C]0[/C][C]0.320032[/C][C]-0.320032[/C][/ROW]
[ROW][C]263[/C][C]0[/C][C]0.644776[/C][C]-0.644776[/C][/ROW]
[ROW][C]264[/C][C]0[/C][C]0.0766759[/C][C]-0.0766759[/C][/ROW]
[ROW][C]265[/C][C]0[/C][C]0.314793[/C][C]-0.314793[/C][/ROW]
[ROW][C]266[/C][C]0[/C][C]0.432192[/C][C]-0.432192[/C][/ROW]
[ROW][C]267[/C][C]0[/C][C]0.624483[/C][C]-0.624483[/C][/ROW]
[ROW][C]268[/C][C]0[/C][C]0.257918[/C][C]-0.257918[/C][/ROW]
[ROW][C]269[/C][C]0[/C][C]0.704896[/C][C]-0.704896[/C][/ROW]
[ROW][C]270[/C][C]0[/C][C]0.618904[/C][C]-0.618904[/C][/ROW]
[ROW][C]271[/C][C]0[/C][C]0.133289[/C][C]-0.133289[/C][/ROW]
[ROW][C]272[/C][C]0[/C][C]0.256822[/C][C]-0.256822[/C][/ROW]
[ROW][C]273[/C][C]0[/C][C]0.558008[/C][C]-0.558008[/C][/ROW]
[ROW][C]274[/C][C]0[/C][C]-0.02797[/C][C]0.02797[/C][/ROW]
[ROW][C]275[/C][C]0[/C][C]0.516419[/C][C]-0.516419[/C][/ROW]
[ROW][C]276[/C][C]0[/C][C]-0.10238[/C][C]0.10238[/C][/ROW]
[ROW][C]277[/C][C]0[/C][C]0.477112[/C][C]-0.477112[/C][/ROW]
[ROW][C]278[/C][C]0[/C][C]0.579213[/C][C]-0.579213[/C][/ROW]
[ROW][C]279[/C][C]0[/C][C]0.683531[/C][C]-0.683531[/C][/ROW]
[ROW][C]280[/C][C]0[/C][C]0.284111[/C][C]-0.284111[/C][/ROW]
[ROW][C]281[/C][C]0[/C][C]0.714774[/C][C]-0.714774[/C][/ROW]
[ROW][C]282[/C][C]0[/C][C]0.63623[/C][C]-0.63623[/C][/ROW]
[ROW][C]283[/C][C]0[/C][C]0.290122[/C][C]-0.290122[/C][/ROW]
[ROW][C]284[/C][C]0[/C][C]-0.0677123[/C][C]0.0677123[/C][/ROW]
[ROW][C]285[/C][C]0[/C][C]0.705636[/C][C]-0.705636[/C][/ROW]
[ROW][C]286[/C][C]0[/C][C]0.416912[/C][C]-0.416912[/C][/ROW]
[ROW][C]287[/C][C]0[/C][C]0.623791[/C][C]-0.623791[/C][/ROW]
[ROW][C]288[/C][C]0[/C][C]0.615545[/C][C]-0.615545[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231695&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231695&T=4

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
110.6944890.305511
210.9037780.0962215
310.7761990.223801
410.3174140.682586
510.7568180.243182
610.7235110.276489
710.8995670.100433
810.7512840.248716
910.7154180.284582
1010.6734010.326599
1110.7289890.271011
1210.9342460.0657543
1310.5306320.469368
1410.8261090.173891
1510.9863460.0136538
1610.5744930.425507
1710.5611540.438846
1811.02731-0.0273063
1910.7277530.272247
2010.7840410.215959
2110.7266570.273343
2210.5935260.406474
2310.9221740.0778257
2410.6589350.341065
2510.8337530.166247
2610.6954980.304502
2710.6673760.332624
2810.7394390.260561
2910.7579630.242037
3010.393320.60668
3110.737260.26274
3210.2583950.741605
3310.7442140.255786
3410.7652480.234752
3510.5623350.437665
3610.3179330.682067
3710.09224910.907751
3810.6175640.382436
3910.730270.26973
4010.549970.45003
4110.6449460.355054
4210.7314750.268525
4310.9839760.0160244
4410.4403520.559648
4510.6856850.314315
4610.4716760.528324
4710.7626280.237372
4810.69130.3087
4910.8294090.170591
5010.5681440.431856
5110.8365520.163448
5210.4824860.517514
5310.3559160.644084
5410.6850310.314969
5510.07970690.920293
5610.5524020.447598
5710.8587480.141252
5810.7133190.286681
5910.5252330.474767
6010.6126380.387362
6110.08535650.914643
6210.6398410.360159
6310.680660.31934
6410.5956630.404337
6510.770720.22928
6610.561760.43824
6710.7760460.223954
6810.567190.43281
6910.6701370.329863
7010.6765030.323497
7110.3375890.662411
7210.6651240.334876
7310.8949270.105073
7410.8371570.162843
7510.6024920.397508
7610.6677870.332213
7710.8992370.100763
7810.6695310.330469
7910.4951640.504836
8010.6352910.364709
8110.6555490.344451
8210.7761810.223819
8310.7013560.298644
8410.6803670.319633
8510.6657050.334295
8610.5469840.453016
8710.7209520.279048
8810.6429450.357055
8910.4324120.567588
9010.5715440.428456
9110.8432110.156789
9210.7725330.227467
9310.6787310.321269
9410.5344890.465511
9510.7989410.201059
9610.7205660.279434
9710.658580.34142
9810.7733030.226697
9910.5131130.486887
10010.9400730.059927
10110.5629050.437095
10211.05723-0.0572278
10310.4417650.558235
10410.72350.2765
10510.4088550.591145
10610.8836630.116337
10710.7402770.259723
10810.4797750.520225
10910.3865940.613406
11010.7242520.275748
11110.6496850.350315
11210.6753050.324695
11310.7040570.295943
11410.841540.15846
11510.6709520.329048
11610.5369270.463073
11710.5807690.419231
11810.7737940.226206
11910.4070690.592931
12010.7344620.265538
12110.6968760.303124
12210.8551180.144882
12310.7848180.215182
12410.7508740.249126
12510.702250.29775
12610.9527210.0472791
12710.7758880.224112
12810.6037980.396202
12910.5171710.482829
13010.1383870.861613
13110.7148810.285119
13210.4193910.580609
13310.6239370.376063
13410.7500170.249983
13510.2720020.727998
13610.5655440.434456
13710.3371620.662838
13810.5159110.484089
13910.2916230.708377
14010.6301520.369848
14110.5342020.465798
14210.8109760.189024
14310.6165470.383453
14410.5358910.464109
14510.8911130.108887
14610.4336730.566327
14710.5408790.459121
14810.2672160.732784
14910.4777380.522262
15010.7727460.227254
15110.6137830.386217
15210.4921120.507888
15310.4056370.594363
15410.3510630.648937
15510.4230540.576946
15610.7758880.224112
15710.6686190.331381
15810.3711680.628832
15900.250313-0.250313
16000.343698-0.343698
16100.843792-0.843792
16200.488187-0.488187
16300.0817021-0.0817021
16400.486875-0.486875
16500.396631-0.396631
16600.437463-0.437463
16700.372446-0.372446
16800.209465-0.209465
16900.823213-0.823213
17000.322309-0.322309
17100.247052-0.247052
17200.684381-0.684381
17300.507579-0.507579
17400.322096-0.322096
17500.285911-0.285911
17600.642517-0.642517
17700.430571-0.430571
17800.751928-0.751928
17900.25294-0.25294
18000.830937-0.830937
18100.641003-0.641003
18200.384278-0.384278
18300.672097-0.672097
18400.661842-0.661842
18500.533388-0.533388
18600.207225-0.207225
18700.11348-0.11348
18800.526379-0.526379
18900.770146-0.770146
19000.339067-0.339067
19100.602795-0.602795
19200.579679-0.579679
19300.552401-0.552401
19400.647647-0.647647
19500.718216-0.718216
19600.245099-0.245099
19700.411629-0.411629
19800.431121-0.431121
19900.472465-0.472465
20000.450892-0.450892
20100.604325-0.604325
20200.700409-0.700409
20300.711091-0.711091
20400.713514-0.713514
20500.377103-0.377103
20600.610574-0.610574
20700.405263-0.405263
20800.624776-0.624776
20900.431733-0.431733
21000.293178-0.293178
21100.63361-0.63361
21200.479413-0.479413
21300.836105-0.836105
21400.655048-0.655048
21500.210322-0.210322
21600.74853-0.74853
21700.425476-0.425476
21800.61481-0.61481
21900.541621-0.541621
22000.403316-0.403316
22100.312364-0.312364
22200.650223-0.650223
22300.388582-0.388582
22400.145752-0.145752
22500.288984-0.288984
22600.451304-0.451304
22700.158589-0.158589
22800.472491-0.472491
22900.904733-0.904733
23000.637644-0.637644
23100.30673-0.30673
2320-0.01861270.0186127
23300.514078-0.514078
23400.535561-0.535561
23500.19484-0.19484
23600.222296-0.222296
23700.249604-0.249604
23800.0183998-0.0183998
23900.287626-0.287626
24000.205327-0.205327
24100.412836-0.412836
24200.448041-0.448041
24300.172344-0.172344
24400.296312-0.296312
24500.306749-0.306749
24600.221482-0.221482
24700.396664-0.396664
24800.599703-0.599703
24900.388698-0.388698
25000.45841-0.45841
25100.45991-0.45991
25200.33093-0.33093
25300.661512-0.661512
2540-0.09997270.0999727
25500.593251-0.593251
25600.480858-0.480858
25700.114532-0.114532
25800.418872-0.418872
25900.422586-0.422586
26000.398916-0.398916
26100.321091-0.321091
26200.320032-0.320032
26300.644776-0.644776
26400.0766759-0.0766759
26500.314793-0.314793
26600.432192-0.432192
26700.624483-0.624483
26800.257918-0.257918
26900.704896-0.704896
27000.618904-0.618904
27100.133289-0.133289
27200.256822-0.256822
27300.558008-0.558008
2740-0.027970.02797
27500.516419-0.516419
2760-0.102380.10238
27700.477112-0.477112
27800.579213-0.579213
27900.683531-0.683531
28000.284111-0.284111
28100.714774-0.714774
28200.63623-0.63623
28300.290122-0.290122
2840-0.06771230.0677123
28500.705636-0.705636
28600.416912-0.416912
28700.623791-0.623791
28800.615545-0.615545







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
101.1111e-482.2222e-481
111.06991e-672.13983e-671
121.16079e-782.32157e-781
133.75956e-1067.51911e-1061
142.08379e-1084.16758e-1081
157.2233e-1241.44466e-1231
16001
171.96001e-1663.92003e-1661
187.92246e-1721.58449e-1711
193.39325e-1866.78651e-1861
203.11122e-2116.22244e-2111
213.81832e-2457.63663e-2451
221.26811e-2352.53622e-2351
232.811e-2475.622e-2471
248.78304e-2661.75661e-2651
257.35956e-2851.47191e-2841
26001
278.4276799992443e-3151.68553999980433e-3141
28001
29001
30001
31001
32001
33001
34001
35001
36001
37001
38001
39001
40001
41001
42001
43001
44001
45001
46001
47001
48001
49001
50001
51001
52001
53001
54001
55001
56001
57001
58001
59001
60001
61001
62001
63001
64001
65001
66001
67001
68001
69001
70001
71001
72001
73001
74001
75001
76001
77001
78001
79001
80001
81001
82001
83001
84001
85001
86001
87001
88001
89001
90001
91001
92001
93001
94001
95001
96001
97001
98001
99001
100001
101001
102001
103001
104001
105001
106001
107001
108001
109001
110001
111001
112001
113001
114001
115001
116001
117001
118001
119001
120001
121001
122001
123001
124001
125001
126001
127001
128001
129001
130001
131001
132001
133001
134001
135001
136001
137001
138001
139001
140001
141001
142001
143001
144001
145001
146001
147001
148001
149001
150001
151001
152001
153001
154001
155001
156001
157001
158100
159100
160100
161100
162100
163100
164100
165100
166100
167100
168100
169100
170100
171100
172100
173100
174100
175100
176100
177100
178100
179100
180100
181100
182100
183100
184100
185100
186100
187100
188100
189100
190100
191100
192100
193100
194100
195100
196100
197100
198100
199100
200100
201100
202100
203100
204100
205100
206100
207100
208100
209100
210100
211100
212100
213100
214100
215100
216100
217100
218100
219100
220100
221100
222100
223100
224100
225100
226100
227100
228100
229100
230100
231100
232100
233100
234100
235100
236100
237100
238100
239100
240100
241100
242100
243100
244100
245100
246100
247100
248100
249100
250100
251100
252100
253100
254100
255100
256100
257100
258100
259100
260100
261100
262100
263100
264100
265100
266100
267100
268100
269100
270100
271100
272100
273100
274100
275100
276100
277100
278100

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
10 & 1.1111e-48 & 2.2222e-48 & 1 \tabularnewline
11 & 1.06991e-67 & 2.13983e-67 & 1 \tabularnewline
12 & 1.16079e-78 & 2.32157e-78 & 1 \tabularnewline
13 & 3.75956e-106 & 7.51911e-106 & 1 \tabularnewline
14 & 2.08379e-108 & 4.16758e-108 & 1 \tabularnewline
15 & 7.2233e-124 & 1.44466e-123 & 1 \tabularnewline
16 & 0 & 0 & 1 \tabularnewline
17 & 1.96001e-166 & 3.92003e-166 & 1 \tabularnewline
18 & 7.92246e-172 & 1.58449e-171 & 1 \tabularnewline
19 & 3.39325e-186 & 6.78651e-186 & 1 \tabularnewline
20 & 3.11122e-211 & 6.22244e-211 & 1 \tabularnewline
21 & 3.81832e-245 & 7.63663e-245 & 1 \tabularnewline
22 & 1.26811e-235 & 2.53622e-235 & 1 \tabularnewline
23 & 2.811e-247 & 5.622e-247 & 1 \tabularnewline
24 & 8.78304e-266 & 1.75661e-265 & 1 \tabularnewline
25 & 7.35956e-285 & 1.47191e-284 & 1 \tabularnewline
26 & 0 & 0 & 1 \tabularnewline
27 & 8.4276799992443e-315 & 1.68553999980433e-314 & 1 \tabularnewline
28 & 0 & 0 & 1 \tabularnewline
29 & 0 & 0 & 1 \tabularnewline
30 & 0 & 0 & 1 \tabularnewline
31 & 0 & 0 & 1 \tabularnewline
32 & 0 & 0 & 1 \tabularnewline
33 & 0 & 0 & 1 \tabularnewline
34 & 0 & 0 & 1 \tabularnewline
35 & 0 & 0 & 1 \tabularnewline
36 & 0 & 0 & 1 \tabularnewline
37 & 0 & 0 & 1 \tabularnewline
38 & 0 & 0 & 1 \tabularnewline
39 & 0 & 0 & 1 \tabularnewline
40 & 0 & 0 & 1 \tabularnewline
41 & 0 & 0 & 1 \tabularnewline
42 & 0 & 0 & 1 \tabularnewline
43 & 0 & 0 & 1 \tabularnewline
44 & 0 & 0 & 1 \tabularnewline
45 & 0 & 0 & 1 \tabularnewline
46 & 0 & 0 & 1 \tabularnewline
47 & 0 & 0 & 1 \tabularnewline
48 & 0 & 0 & 1 \tabularnewline
49 & 0 & 0 & 1 \tabularnewline
50 & 0 & 0 & 1 \tabularnewline
51 & 0 & 0 & 1 \tabularnewline
52 & 0 & 0 & 1 \tabularnewline
53 & 0 & 0 & 1 \tabularnewline
54 & 0 & 0 & 1 \tabularnewline
55 & 0 & 0 & 1 \tabularnewline
56 & 0 & 0 & 1 \tabularnewline
57 & 0 & 0 & 1 \tabularnewline
58 & 0 & 0 & 1 \tabularnewline
59 & 0 & 0 & 1 \tabularnewline
60 & 0 & 0 & 1 \tabularnewline
61 & 0 & 0 & 1 \tabularnewline
62 & 0 & 0 & 1 \tabularnewline
63 & 0 & 0 & 1 \tabularnewline
64 & 0 & 0 & 1 \tabularnewline
65 & 0 & 0 & 1 \tabularnewline
66 & 0 & 0 & 1 \tabularnewline
67 & 0 & 0 & 1 \tabularnewline
68 & 0 & 0 & 1 \tabularnewline
69 & 0 & 0 & 1 \tabularnewline
70 & 0 & 0 & 1 \tabularnewline
71 & 0 & 0 & 1 \tabularnewline
72 & 0 & 0 & 1 \tabularnewline
73 & 0 & 0 & 1 \tabularnewline
74 & 0 & 0 & 1 \tabularnewline
75 & 0 & 0 & 1 \tabularnewline
76 & 0 & 0 & 1 \tabularnewline
77 & 0 & 0 & 1 \tabularnewline
78 & 0 & 0 & 1 \tabularnewline
79 & 0 & 0 & 1 \tabularnewline
80 & 0 & 0 & 1 \tabularnewline
81 & 0 & 0 & 1 \tabularnewline
82 & 0 & 0 & 1 \tabularnewline
83 & 0 & 0 & 1 \tabularnewline
84 & 0 & 0 & 1 \tabularnewline
85 & 0 & 0 & 1 \tabularnewline
86 & 0 & 0 & 1 \tabularnewline
87 & 0 & 0 & 1 \tabularnewline
88 & 0 & 0 & 1 \tabularnewline
89 & 0 & 0 & 1 \tabularnewline
90 & 0 & 0 & 1 \tabularnewline
91 & 0 & 0 & 1 \tabularnewline
92 & 0 & 0 & 1 \tabularnewline
93 & 0 & 0 & 1 \tabularnewline
94 & 0 & 0 & 1 \tabularnewline
95 & 0 & 0 & 1 \tabularnewline
96 & 0 & 0 & 1 \tabularnewline
97 & 0 & 0 & 1 \tabularnewline
98 & 0 & 0 & 1 \tabularnewline
99 & 0 & 0 & 1 \tabularnewline
100 & 0 & 0 & 1 \tabularnewline
101 & 0 & 0 & 1 \tabularnewline
102 & 0 & 0 & 1 \tabularnewline
103 & 0 & 0 & 1 \tabularnewline
104 & 0 & 0 & 1 \tabularnewline
105 & 0 & 0 & 1 \tabularnewline
106 & 0 & 0 & 1 \tabularnewline
107 & 0 & 0 & 1 \tabularnewline
108 & 0 & 0 & 1 \tabularnewline
109 & 0 & 0 & 1 \tabularnewline
110 & 0 & 0 & 1 \tabularnewline
111 & 0 & 0 & 1 \tabularnewline
112 & 0 & 0 & 1 \tabularnewline
113 & 0 & 0 & 1 \tabularnewline
114 & 0 & 0 & 1 \tabularnewline
115 & 0 & 0 & 1 \tabularnewline
116 & 0 & 0 & 1 \tabularnewline
117 & 0 & 0 & 1 \tabularnewline
118 & 0 & 0 & 1 \tabularnewline
119 & 0 & 0 & 1 \tabularnewline
120 & 0 & 0 & 1 \tabularnewline
121 & 0 & 0 & 1 \tabularnewline
122 & 0 & 0 & 1 \tabularnewline
123 & 0 & 0 & 1 \tabularnewline
124 & 0 & 0 & 1 \tabularnewline
125 & 0 & 0 & 1 \tabularnewline
126 & 0 & 0 & 1 \tabularnewline
127 & 0 & 0 & 1 \tabularnewline
128 & 0 & 0 & 1 \tabularnewline
129 & 0 & 0 & 1 \tabularnewline
130 & 0 & 0 & 1 \tabularnewline
131 & 0 & 0 & 1 \tabularnewline
132 & 0 & 0 & 1 \tabularnewline
133 & 0 & 0 & 1 \tabularnewline
134 & 0 & 0 & 1 \tabularnewline
135 & 0 & 0 & 1 \tabularnewline
136 & 0 & 0 & 1 \tabularnewline
137 & 0 & 0 & 1 \tabularnewline
138 & 0 & 0 & 1 \tabularnewline
139 & 0 & 0 & 1 \tabularnewline
140 & 0 & 0 & 1 \tabularnewline
141 & 0 & 0 & 1 \tabularnewline
142 & 0 & 0 & 1 \tabularnewline
143 & 0 & 0 & 1 \tabularnewline
144 & 0 & 0 & 1 \tabularnewline
145 & 0 & 0 & 1 \tabularnewline
146 & 0 & 0 & 1 \tabularnewline
147 & 0 & 0 & 1 \tabularnewline
148 & 0 & 0 & 1 \tabularnewline
149 & 0 & 0 & 1 \tabularnewline
150 & 0 & 0 & 1 \tabularnewline
151 & 0 & 0 & 1 \tabularnewline
152 & 0 & 0 & 1 \tabularnewline
153 & 0 & 0 & 1 \tabularnewline
154 & 0 & 0 & 1 \tabularnewline
155 & 0 & 0 & 1 \tabularnewline
156 & 0 & 0 & 1 \tabularnewline
157 & 0 & 0 & 1 \tabularnewline
158 & 1 & 0 & 0 \tabularnewline
159 & 1 & 0 & 0 \tabularnewline
160 & 1 & 0 & 0 \tabularnewline
161 & 1 & 0 & 0 \tabularnewline
162 & 1 & 0 & 0 \tabularnewline
163 & 1 & 0 & 0 \tabularnewline
164 & 1 & 0 & 0 \tabularnewline
165 & 1 & 0 & 0 \tabularnewline
166 & 1 & 0 & 0 \tabularnewline
167 & 1 & 0 & 0 \tabularnewline
168 & 1 & 0 & 0 \tabularnewline
169 & 1 & 0 & 0 \tabularnewline
170 & 1 & 0 & 0 \tabularnewline
171 & 1 & 0 & 0 \tabularnewline
172 & 1 & 0 & 0 \tabularnewline
173 & 1 & 0 & 0 \tabularnewline
174 & 1 & 0 & 0 \tabularnewline
175 & 1 & 0 & 0 \tabularnewline
176 & 1 & 0 & 0 \tabularnewline
177 & 1 & 0 & 0 \tabularnewline
178 & 1 & 0 & 0 \tabularnewline
179 & 1 & 0 & 0 \tabularnewline
180 & 1 & 0 & 0 \tabularnewline
181 & 1 & 0 & 0 \tabularnewline
182 & 1 & 0 & 0 \tabularnewline
183 & 1 & 0 & 0 \tabularnewline
184 & 1 & 0 & 0 \tabularnewline
185 & 1 & 0 & 0 \tabularnewline
186 & 1 & 0 & 0 \tabularnewline
187 & 1 & 0 & 0 \tabularnewline
188 & 1 & 0 & 0 \tabularnewline
189 & 1 & 0 & 0 \tabularnewline
190 & 1 & 0 & 0 \tabularnewline
191 & 1 & 0 & 0 \tabularnewline
192 & 1 & 0 & 0 \tabularnewline
193 & 1 & 0 & 0 \tabularnewline
194 & 1 & 0 & 0 \tabularnewline
195 & 1 & 0 & 0 \tabularnewline
196 & 1 & 0 & 0 \tabularnewline
197 & 1 & 0 & 0 \tabularnewline
198 & 1 & 0 & 0 \tabularnewline
199 & 1 & 0 & 0 \tabularnewline
200 & 1 & 0 & 0 \tabularnewline
201 & 1 & 0 & 0 \tabularnewline
202 & 1 & 0 & 0 \tabularnewline
203 & 1 & 0 & 0 \tabularnewline
204 & 1 & 0 & 0 \tabularnewline
205 & 1 & 0 & 0 \tabularnewline
206 & 1 & 0 & 0 \tabularnewline
207 & 1 & 0 & 0 \tabularnewline
208 & 1 & 0 & 0 \tabularnewline
209 & 1 & 0 & 0 \tabularnewline
210 & 1 & 0 & 0 \tabularnewline
211 & 1 & 0 & 0 \tabularnewline
212 & 1 & 0 & 0 \tabularnewline
213 & 1 & 0 & 0 \tabularnewline
214 & 1 & 0 & 0 \tabularnewline
215 & 1 & 0 & 0 \tabularnewline
216 & 1 & 0 & 0 \tabularnewline
217 & 1 & 0 & 0 \tabularnewline
218 & 1 & 0 & 0 \tabularnewline
219 & 1 & 0 & 0 \tabularnewline
220 & 1 & 0 & 0 \tabularnewline
221 & 1 & 0 & 0 \tabularnewline
222 & 1 & 0 & 0 \tabularnewline
223 & 1 & 0 & 0 \tabularnewline
224 & 1 & 0 & 0 \tabularnewline
225 & 1 & 0 & 0 \tabularnewline
226 & 1 & 0 & 0 \tabularnewline
227 & 1 & 0 & 0 \tabularnewline
228 & 1 & 0 & 0 \tabularnewline
229 & 1 & 0 & 0 \tabularnewline
230 & 1 & 0 & 0 \tabularnewline
231 & 1 & 0 & 0 \tabularnewline
232 & 1 & 0 & 0 \tabularnewline
233 & 1 & 0 & 0 \tabularnewline
234 & 1 & 0 & 0 \tabularnewline
235 & 1 & 0 & 0 \tabularnewline
236 & 1 & 0 & 0 \tabularnewline
237 & 1 & 0 & 0 \tabularnewline
238 & 1 & 0 & 0 \tabularnewline
239 & 1 & 0 & 0 \tabularnewline
240 & 1 & 0 & 0 \tabularnewline
241 & 1 & 0 & 0 \tabularnewline
242 & 1 & 0 & 0 \tabularnewline
243 & 1 & 0 & 0 \tabularnewline
244 & 1 & 0 & 0 \tabularnewline
245 & 1 & 0 & 0 \tabularnewline
246 & 1 & 0 & 0 \tabularnewline
247 & 1 & 0 & 0 \tabularnewline
248 & 1 & 0 & 0 \tabularnewline
249 & 1 & 0 & 0 \tabularnewline
250 & 1 & 0 & 0 \tabularnewline
251 & 1 & 0 & 0 \tabularnewline
252 & 1 & 0 & 0 \tabularnewline
253 & 1 & 0 & 0 \tabularnewline
254 & 1 & 0 & 0 \tabularnewline
255 & 1 & 0 & 0 \tabularnewline
256 & 1 & 0 & 0 \tabularnewline
257 & 1 & 0 & 0 \tabularnewline
258 & 1 & 0 & 0 \tabularnewline
259 & 1 & 0 & 0 \tabularnewline
260 & 1 & 0 & 0 \tabularnewline
261 & 1 & 0 & 0 \tabularnewline
262 & 1 & 0 & 0 \tabularnewline
263 & 1 & 0 & 0 \tabularnewline
264 & 1 & 0 & 0 \tabularnewline
265 & 1 & 0 & 0 \tabularnewline
266 & 1 & 0 & 0 \tabularnewline
267 & 1 & 0 & 0 \tabularnewline
268 & 1 & 0 & 0 \tabularnewline
269 & 1 & 0 & 0 \tabularnewline
270 & 1 & 0 & 0 \tabularnewline
271 & 1 & 0 & 0 \tabularnewline
272 & 1 & 0 & 0 \tabularnewline
273 & 1 & 0 & 0 \tabularnewline
274 & 1 & 0 & 0 \tabularnewline
275 & 1 & 0 & 0 \tabularnewline
276 & 1 & 0 & 0 \tabularnewline
277 & 1 & 0 & 0 \tabularnewline
278 & 1 & 0 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231695&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]10[/C][C]1.1111e-48[/C][C]2.2222e-48[/C][C]1[/C][/ROW]
[ROW][C]11[/C][C]1.06991e-67[/C][C]2.13983e-67[/C][C]1[/C][/ROW]
[ROW][C]12[/C][C]1.16079e-78[/C][C]2.32157e-78[/C][C]1[/C][/ROW]
[ROW][C]13[/C][C]3.75956e-106[/C][C]7.51911e-106[/C][C]1[/C][/ROW]
[ROW][C]14[/C][C]2.08379e-108[/C][C]4.16758e-108[/C][C]1[/C][/ROW]
[ROW][C]15[/C][C]7.2233e-124[/C][C]1.44466e-123[/C][C]1[/C][/ROW]
[ROW][C]16[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]17[/C][C]1.96001e-166[/C][C]3.92003e-166[/C][C]1[/C][/ROW]
[ROW][C]18[/C][C]7.92246e-172[/C][C]1.58449e-171[/C][C]1[/C][/ROW]
[ROW][C]19[/C][C]3.39325e-186[/C][C]6.78651e-186[/C][C]1[/C][/ROW]
[ROW][C]20[/C][C]3.11122e-211[/C][C]6.22244e-211[/C][C]1[/C][/ROW]
[ROW][C]21[/C][C]3.81832e-245[/C][C]7.63663e-245[/C][C]1[/C][/ROW]
[ROW][C]22[/C][C]1.26811e-235[/C][C]2.53622e-235[/C][C]1[/C][/ROW]
[ROW][C]23[/C][C]2.811e-247[/C][C]5.622e-247[/C][C]1[/C][/ROW]
[ROW][C]24[/C][C]8.78304e-266[/C][C]1.75661e-265[/C][C]1[/C][/ROW]
[ROW][C]25[/C][C]7.35956e-285[/C][C]1.47191e-284[/C][C]1[/C][/ROW]
[ROW][C]26[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]27[/C][C]8.4276799992443e-315[/C][C]1.68553999980433e-314[/C][C]1[/C][/ROW]
[ROW][C]28[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]29[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]30[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]31[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]32[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]33[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]34[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]35[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]36[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]37[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]38[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]39[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]40[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]41[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]42[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]43[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]44[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]45[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]46[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]47[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]48[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]49[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]50[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]51[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]52[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]53[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]54[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]55[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]56[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]57[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]58[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]59[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]60[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]61[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]62[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]63[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]64[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]65[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]66[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]67[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]68[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]69[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]70[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]71[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]72[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]73[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]74[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]75[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]76[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]77[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]78[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]79[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]80[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]81[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]82[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]83[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]84[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]85[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]86[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]87[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]88[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]89[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]90[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]91[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]92[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]93[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]94[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]95[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]96[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]97[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]98[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]99[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]100[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]101[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]102[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]103[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]104[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]105[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]106[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]107[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]108[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]109[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]110[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]111[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]112[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]113[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]114[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]115[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]116[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]117[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]118[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]119[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]120[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]121[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]122[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]123[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]124[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]125[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]126[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]127[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]128[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]129[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]130[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]131[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]132[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]133[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]134[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]135[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]136[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]137[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]138[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]139[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]140[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]141[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]142[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]143[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]144[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]145[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]146[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]147[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]148[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]149[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]150[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]151[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]152[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]153[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]154[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]155[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]156[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]157[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]158[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]159[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]160[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]161[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]162[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]163[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]164[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]165[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]166[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]167[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]168[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]169[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]170[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]171[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]172[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]173[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]174[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]175[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]176[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]177[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]178[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]179[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]180[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]181[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]182[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]183[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]184[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]185[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]186[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]187[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]188[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]189[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]190[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]191[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]192[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]193[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]194[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]195[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]196[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]197[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]198[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]199[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]200[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]201[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]202[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]203[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]204[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]205[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]206[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]207[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]208[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]209[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]210[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]211[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]212[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]213[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]214[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]215[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]216[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]217[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]218[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]219[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]220[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]221[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]222[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]223[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]224[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]225[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]226[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]227[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]228[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]229[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]230[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]231[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]232[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]233[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]234[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]235[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]236[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]237[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]238[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]239[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]240[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]241[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]242[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]243[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]244[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]245[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]246[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]247[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]248[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]249[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]250[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]251[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]252[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]253[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]254[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]255[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]256[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]257[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]258[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]259[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]260[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]261[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]262[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]263[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]264[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]265[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]266[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]267[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]268[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]269[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]270[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]271[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]272[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]273[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]274[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]275[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]276[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]277[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]278[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231695&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231695&T=5

As an alternative you can also use a QR Code:  

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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
101.1111e-482.2222e-481
111.06991e-672.13983e-671
121.16079e-782.32157e-781
133.75956e-1067.51911e-1061
142.08379e-1084.16758e-1081
157.2233e-1241.44466e-1231
16001
171.96001e-1663.92003e-1661
187.92246e-1721.58449e-1711
193.39325e-1866.78651e-1861
203.11122e-2116.22244e-2111
213.81832e-2457.63663e-2451
221.26811e-2352.53622e-2351
232.811e-2475.622e-2471
248.78304e-2661.75661e-2651
257.35956e-2851.47191e-2841
26001
278.4276799992443e-3151.68553999980433e-3141
28001
29001
30001
31001
32001
33001
34001
35001
36001
37001
38001
39001
40001
41001
42001
43001
44001
45001
46001
47001
48001
49001
50001
51001
52001
53001
54001
55001
56001
57001
58001
59001
60001
61001
62001
63001
64001
65001
66001
67001
68001
69001
70001
71001
72001
73001
74001
75001
76001
77001
78001
79001
80001
81001
82001
83001
84001
85001
86001
87001
88001
89001
90001
91001
92001
93001
94001
95001
96001
97001
98001
99001
100001
101001
102001
103001
104001
105001
106001
107001
108001
109001
110001
111001
112001
113001
114001
115001
116001
117001
118001
119001
120001
121001
122001
123001
124001
125001
126001
127001
128001
129001
130001
131001
132001
133001
134001
135001
136001
137001
138001
139001
140001
141001
142001
143001
144001
145001
146001
147001
148001
149001
150001
151001
152001
153001
154001
155001
156001
157001
158100
159100
160100
161100
162100
163100
164100
165100
166100
167100
168100
169100
170100
171100
172100
173100
174100
175100
176100
177100
178100
179100
180100
181100
182100
183100
184100
185100
186100
187100
188100
189100
190100
191100
192100
193100
194100
195100
196100
197100
198100
199100
200100
201100
202100
203100
204100
205100
206100
207100
208100
209100
210100
211100
212100
213100
214100
215100
216100
217100
218100
219100
220100
221100
222100
223100
224100
225100
226100
227100
228100
229100
230100
231100
232100
233100
234100
235100
236100
237100
238100
239100
240100
241100
242100
243100
244100
245100
246100
247100
248100
249100
250100
251100
252100
253100
254100
255100
256100
257100
258100
259100
260100
261100
262100
263100
264100
265100
266100
267100
268100
269100
270100
271100
272100
273100
274100
275100
276100
277100
278100







Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2691NOK
5% type I error level2691NOK
10% type I error level2691NOK

\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 & 269 & 1 & NOK \tabularnewline
5% type I error level & 269 & 1 & NOK \tabularnewline
10% type I error level & 269 & 1 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231695&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]269[/C][C]1[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]269[/C][C]1[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]269[/C][C]1[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231695&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231695&T=6

As an alternative you can also use a QR Code:  

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2691NOK
5% type I error level2691NOK
10% type I error level2691NOK



Parameters (Session):
par1 = 5 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
R code (references can be found in the software module):
par3 <- 'No Linear Trend'
par2 <- 'Do not include Seasonal Dummies'
par1 <- '2'
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')
}