Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_multipleregression.wasp

Title produced by software

Multiple Regression

Date of computation

Mon, 08 Dec 2014 15:26:24 +0000

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/08/t1418052674ttgljv20i7zo6h2.htm/, Retrieved Tue, 28 May 2024 00:49:46 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=264048, Retrieved Tue, 28 May 2024 00:49:46 +0000

QR Codes:

Paste this QR Code to cite your computation.

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [Multiple Regression] [] [2014-12-08 15:26:24] [6398a3f6f1f2f5e55f0ec79c736f94f8] [Current]

Feedback Forum

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

2011 1 0 1 0.5 12.9
2011 1 1 0.89 0.5 12.2
2011 1 0 0.89 0.4 12.8
2011 1 1 0.89 0.5 7.4
2011 1 1 0.89 0.7 6.7
2011 1 1 0.78 0.3 12.6
2011 1 0 0.89 0.4 14.8
2011 1 1 1 0.4 13.3
2011 1 1 0.89 0.7 11.1
2011 1 1 0.78 0.6 8.2
2011 1 1 1 0.6 11.4
2011 1 1 0.78 0.2 6.4
2011 1 1 0.89 0.4 10.6
2011 1 0 0.89 0.4 12
2011 1 0 0.89 0.5 6.3
2011 0 0 0.89 0.3 11.3
2011 1 1 0.89 0.4 11.9
2011 1 0 0.67 0.7 9.3
2011 0 1 1 0.5 9.6
2011 1 0 0.78 0.2 10
2011 1 1 0.78 0.3 6.4
2011 1 1 0.89 0.6 13.8
2011 1 0 0.78 0.6 10.8
2011 1 1 0.89 0.2 13.8
2011 1 1 0.89 0.7 11.7
2011 1 1 0.33 0.2 10.9
2011 0 1 1 1 16.1
2011 0 0 0.89 0.4 13.4
2011 1 1 0.89 0.4 9.9
2011 1 0 0.67 0.2 11.5
2011 1 0 0.56 0.4 8.3
2011 1 0 0.89 0.4 11.7
2011 1 1 0.89 0.7 9
2011 1 1 1 0.2 9.7
2011 1 1 0.78 0.6 10.8
2011 1 1 0.78 0.3 10.3
2011 1 0 0.33 0.3 10.4
2011 0 1 0.78 0.2 12.7
2011 1 1 0.89 0.5 9.3
2011 1 0 0.89 0.7 11.8
2011 1 1 0.78 0.6 5.9
2011 1 1 0.89 0.4 11.4
2011 1 1 0.89 0.6 13
2011 1 1 1 0.4 10.8
2011 0 1 0.67 0.3 12.3
2011 1 0 1 0.5 11.3
2011 1 1 0.89 0.2 11.8
2011 0 1 0.89 0.3 7.9
2011 1 0 0.89 0.5 12.7
2011 0 1 0.78 0.7 12.3
2011 0 1 0.89 0.4 11.6
2011 0 1 0.78 0.3 6.7
2011 1 1 0.78 0.2 10.9
2011 0 1 1 0.5 12.1
2011 1 1 0.78 0.4 13.3
2011 1 1 1 0.6 10.1
2011 0 0 0.78 0.4 5.7
2011 1 1 0.67 0.4 14.3
2011 0 0 0.33 0.2 8
2011 0 1 1 0.9 13.3
2011 1 1 1 0.8 9.3
2011 1 0 0.78 0.8 12.5
2011 1 0 0.67 0.3 7.6
2011 1 1 1 0.2 15.9
2011 1 0 0.89 0.4 9.2
2011 0 1 0.89 0.2 9.1
2011 1 0 0.78 0.2 11.1
2011 1 1 1 0.1 13
2011 1 1 0.56 0.4 14.5
2011 0 0 0.67 0.5 12.2
2011 1 0 0.89 0.8 12.3
2011 1 0 0.89 0.4 11.4
2011 0 0 0.89 0.6 8.8
2011 0 1 0.89 0.5 14.6
2011 1 0 0.78 0.3 12.6
2011 1 0 1 0.4 13
2011 0 1 1 0.6 12.6
2011 1 0 0.89 0.4 13.2
2011 0 0 0.44 0.3 9.9
2011 1 1 0.78 0.8 7.7
2011 0 0 0.89 0.6 10.5
2011 0 0 0.67 0.3 13.4
2011 0 0 0.78 0.5 10.9
2011 0 1 0.78 0.4 4.3
2011 0 0 0.33 0.3 10.3
2011 0 1 0.89 0.7 11.8
2011 0 1 0.89 0.2 11.2
2011 0 0 0.89 0.4 11.4
2011 0 0 0.89 0.6 8.6
2011 0 0 0.56 0.6 13.2
2011 0 1 0.67 0.6 12.6
2011 0 1 0.67 0.4 5.6
2011 0 1 0.78 0.6 9.9
2011 0 0 0.78 0.5 8.8
2011 0 1 0.78 0.5 7.7
2011 0 0 0.89 0.6 9
2011 0 1 1 0.8 7.3
2011 0 1 0.89 0.5 11.4
2011 0 1 0.89 0.6 13.6
2011 0 1 0.78 0.4 7.9
2011 0 1 1 0.3 10.7
2011 0 0 0.78 0.3 10.3
2011 0 1 0.67 0.2 8.3
2011 0 1 0.78 0.4 9.6
2011 0 1 0.89 0.5 14.2
2011 0 0 0.67 0.3 8.5
2011 0 0 0.22 0.4 13.5
2011 0 0 0.44 0.5 4.9
2011 0 0 0.89 0.3 6.4
2011 0 0 0.67 0.5 9.6
2011 0 0 0.89 0.4 11.6
2011 0 1 0.67 0.4 11.1
2012 1 1 0.78 0.6 4.35
2012 1 1 0.78 0.3 12.7
2012 1 1 0.78 0.4 18.1
2012 1 1 1 0.3 17.85
2012 0 0 0.78 1 16.6
2012 0 1 0.67 0.4 12.6
2012 1 1 0.89 0.8 17.1
2012 1 0 0.89 0.3 19.1
2012 1 1 1 0.5 16.1
2012 1 0 0.78 0.4 13.35
2012 1 0 0.67 0.3 18.4
2012 1 1 0.89 0.5 14.7
2012 1 1 0.67 0.3 10.6
2012 1 1 0.67 0.3 12.6
2012 1 1 1 0.4 16.2
2012 1 1 0.67 0.3 13.6
2012 0 1 1 0.6 18.9
2012 1 1 0.89 0.6 14.1
2012 1 1 0.89 0.4 14.5
2012 1 0 1 0.4 16.15
2012 1 1 0.67 0.4 14.75
2012 1 1 0.44 0.3 14.8
2012 1 1 0.89 0.2 12.45
2012 1 1 0.56 0.5 12.65
2012 1 1 0.78 0.4 17.35
2012 1 1 1 0.4 8.6
2012 1 0 1 0.4 18.4
2012 1 1 0.89 0.3 16.1
2012 0 1 0.67 0.4 11.6
2012 1 1 0.89 0.2 17.75
2012 1 1 0.33 0 15.25
2012 1 1 0.89 0.4 17.65
2012 1 0 0.78 0.6 16.35
2012 1 0 1 0.4 17.65
2012 1 1 0.44 0.4 13.6
2012 1 0 0.67 0.4 14.35
2012 1 0 0.33 0.2 14.75
2012 1 1 0.89 0.4 18.25
2012 1 0 0.89 0.3 9.9
2012 1 1 1 0.6 16
2012 1 1 0.89 0.6 18.25
2012 1 0 0.89 0.4 16.85
2012 0 1 1 0.5 14.6
2012 0 1 0.89 0.4 13.85
2012 1 1 1 0.6 18.95
2012 1 0 0.78 0.6 15.6
2012 0 0 0.78 0.9 14.85
2012 0 0 0.67 0.4 11.75
2012 0 0 0.89 0.8 18.45
2012 0 1 0.67 0.5 15.9
2012 1 0 0.78 0.4 17.1
2012 1 1 0.89 0.4 16.1
2012 0 0 0.89 0.7 19.9
2012 0 1 0.78 0.4 10.95
2012 0 0 1 0.8 18.45
2012 0 1 1 0.4 15.1
2012 0 0 1 0.3 15
2012 0 0 0.67 0.5 11.35
2012 0 1 0.89 0.8 15.95
2012 0 0 1 0.4 18.1
2012 0 1 1 1 14.6
2012 1 1 0.89 0.5 15.4
2012 1 1 0.89 0.5 15.4
2012 0 1 0.89 0.3 17.6
2012 1 1 0.89 0.3 13.35
2012 1 0 0.89 0.3 19.1
2012 0 1 1 0.4 15.35
2012 1 0 0.67 0.5 7.6
2012 0 0 1 0.5 13.4
2012 0 0 0.89 0.4 13.9
2012 1 1 0.89 0.7 19.1
2012 0 0 0.89 0.5 15.25
2012 0 1 0.89 0.4 12.9
2012 0 0 1 0.7 16.1
2012 0 0 1 0.7 17.35
2012 0 0 1 0.7 13.15
2012 0 0 0.89 0.7 12.15
2012 0 1 0.89 0.7 12.6
2012 0 1 0.89 0.7 10.35
2012 0 1 0.33 0.1 15.4
2012 0 1 0.67 0.2 9.6
2012 0 0 0.56 0.3 18.2
2012 0 0 0.44 0.6 13.6
2012 0 1 1 0.8 14.85
2012 1 0 0.89 0.8 14.75
2012 0 0 0.33 0 14.1
2012 0 0 0.67 0.3 14.9
2012 0 0 0.67 0.6 16.25
2012 1 1 1 0.5 19.25
2012 0 1 0.78 0.7 13.6
2012 1 0 0.67 0.3 13.6
2012 0 0 1 0.3 15.65
2012 1 1 0.78 0.4 12.75
2012 0 0 0.89 0.4 14.6
2012 1 1 0.89 0.1 9.85
2012 0 1 0.89 0.5 12.65
2012 0 0 0 0 19.2
2012 0 1 0.67 0.4 16.6
2012 0 1 1 0.6 11.2
2012 1 1 1 0.4 15.25
2012 1 0 0.67 0.1 11.9
2012 0 0 0.89 0.3 13.2
2012 1 0 0.89 0.7 16.35
2012 1 1 0.56 0.3 12.4
2012 0 1 0.67 0.5 15.85
2012 1 1 1 0.3 18.15
2012 0 1 1 0.6 11.15
2012 0 0 1 0.9 15.65
2012 1 0 0.67 0.4 17.75
2012 0 0 0.44 0.3 7.65
2012 1 1 0.89 0.9 12.35
2012 1 1 0.44 0.5 15.6
2012 1 0 0.56 0.3 19.3
2012 0 0 0.89 0.6 15.2
2012 1 0 0.67 0.2 17.1
2012 0 1 0.89 0.4 15.6
2012 1 1 1 0.5 18.4
2012 1 0 0.78 0.4 19.05
2012 1 0 0.44 0 18.55
2012 1 0 0.89 0.2 19.1
2012 0 1 0.89 0.5 13.1
2012 1 1 0.89 0.3 12.85
2012 1 1 0.44 0 9.5
2012 1 1 1 0.5 4.5
2012 0 0 0.89 0.6 11.85
2012 1 1 0.67 0.3 13.6
2012 1 1 0.33 0 11.7
2012 0 1 0.78 0.3 12.4
2012 1 0 0.89 0.5 13.35
2012 0 0 0.78 0.4 11.4
2012 0 1 0.78 0.5 14.9
2012 0 0 0.89 0.7 19.9
2012 0 1 0.78 0.8 11.2
2012 0 1 0.78 0.6 14.6
2012 1 0 0.67 0.4 17.6
2012 1 1 0.89 0.5 14.05
2012 1 0 0.89 0.5 16.1
2012 1 1 0.78 0.3 13.35
2012 1 1 1 0.6 11.85
2012 1 0 1 0.3 11.95
2012 0 1 0.78 0.6 14.75
2012 0 0 0.78 0.3 15.15
2012 1 1 0.89 0.7 13.2
2012 0 0 0.89 0.7 16.85
2012 0 1 0.67 0.6 7.85
2012 1 0 1 0.5 7.7
2012 0 0 0.67 0.5 12.6
2012 0 1 0.56 0.4 7.85
2012 0 1 0.78 0.4 10.95
2012 0 0 1 0.7 12.35
2012 0 1 0.67 0.2 9.95
2012 0 1 0.78 0.5 14.9
2012 0 0 0.56 0.4 16.65
2012 0 1 1 0.2 13.4
2012 0 0 0.89 0.5 13.95
2012 0 0 0.44 0.4 15.7
2012 0 1 1 0.7 16.85
2012 0 1 0.89 0.6 10.95
2012 0 0 0.78 0.4 15.35
2012 0 1 0.89 0.5 12.2
2012 0 0 0.11 0 15.1
2012 0 0 0.89 0.7 17.75
2012 0 1 0.89 0.4 15.2
2012 1 0 1 0.5 14.6
2012 0 0 0.89 0.6 16.65
2012 0 1 1 0.8 8.1

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	9 seconds
R Server	'Herman Ole Andreas Wold' @ wold.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 & 9 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264048&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]9 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264048&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264048&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	9 seconds
R Server	'Herman Ole Andreas Wold' @ wold.wessa.net

Multiple Linear Regression - Estimated Regression Equation
year[t] = + 2010.68 -0.0799762group[t] + 0.0751727gender[t] -0.215878Calculation[t] + 0.0181514Algebraic_Reasoning[t] + 0.0833753TOT[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
year[t] =  +  2010.68 -0.0799762group[t] +  0.0751727gender[t] -0.215878Calculation[t] +  0.0181514Algebraic_Reasoning[t] +  0.0833753TOT[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264048&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]year[t] =  +  2010.68 -0.0799762group[t] +  0.0751727gender[t] -0.215878Calculation[t] +  0.0181514Algebraic_Reasoning[t] +  0.0833753TOT[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264048&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264048&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
year[t] = + 2010.68 -0.0799762group[t] + 0.0751727gender[t] -0.215878Calculation[t] + 0.0181514Algebraic_Reasoning[t] + 0.0833753TOT[t] + e[t]

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	2010.68	0.144271	13940	0	0
group	-0.0799762	0.0506493	-1.579	0.115494	0.0577469
gender	0.0751727	0.0508657	1.478	0.140601	0.0703003
Calculation	-0.215878	0.154595	-1.396	0.163729	0.0818646
Algebraic_Reasoning	0.0181514	0.144295	0.1258	0.899988	0.449994
TOT	0.0833753	0.00734739	11.35	1.08491e-24	5.42457e-25

\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) & 2010.68 & 0.144271 & 13940 & 0 & 0 \tabularnewline
group & -0.0799762 & 0.0506493 & -1.579 & 0.115494 & 0.0577469 \tabularnewline
gender & 0.0751727 & 0.0508657 & 1.478 & 0.140601 & 0.0703003 \tabularnewline
Calculation & -0.215878 & 0.154595 & -1.396 & 0.163729 & 0.0818646 \tabularnewline
Algebraic_Reasoning & 0.0181514 & 0.144295 & 0.1258 & 0.899988 & 0.449994 \tabularnewline
TOT & 0.0833753 & 0.00734739 & 11.35 & 1.08491e-24 & 5.42457e-25 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264048&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]2010.68[/C][C]0.144271[/C][C]13940[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]group[/C][C]-0.0799762[/C][C]0.0506493[/C][C]-1.579[/C][C]0.115494[/C][C]0.0577469[/C][/ROW]
[ROW][C]gender[/C][C]0.0751727[/C][C]0.0508657[/C][C]1.478[/C][C]0.140601[/C][C]0.0703003[/C][/ROW]
[ROW][C]Calculation[/C][C]-0.215878[/C][C]0.154595[/C][C]-1.396[/C][C]0.163729[/C][C]0.0818646[/C][/ROW]
[ROW][C]Algebraic_Reasoning[/C][C]0.0181514[/C][C]0.144295[/C][C]0.1258[/C][C]0.899988[/C][C]0.449994[/C][/ROW]
[ROW][C]TOT[/C][C]0.0833753[/C][C]0.00734739[/C][C]11.35[/C][C]1.08491e-24[/C][C]5.42457e-25[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264048&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264048&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
Variable	Parameter	S.D.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	2010.68	0.144271	13940	0	0
group	-0.0799762	0.0506493	-1.579	0.115494	0.0577469
gender	0.0751727	0.0508657	1.478	0.140601	0.0703003
Calculation	-0.215878	0.154595	-1.396	0.163729	0.0818646
Algebraic_Reasoning	0.0181514	0.144295	0.1258	0.899988	0.449994
TOT	0.0833753	0.00734739	11.35	1.08491e-24	5.42457e-25

Multiple Linear Regression - Regression Statistics
Multiple R	0.568355
R-squared	0.323027
Adjusted R-squared	0.310583
F-TEST (value)	25.9578
F-TEST (DF numerator)	5
F-TEST (DF denominator)	272
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.407983
Sum Squared Residuals	45.2744

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.568355 \tabularnewline
R-squared & 0.323027 \tabularnewline
Adjusted R-squared & 0.310583 \tabularnewline
F-TEST (value) & 25.9578 \tabularnewline
F-TEST (DF numerator) & 5 \tabularnewline
F-TEST (DF denominator) & 272 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 0.407983 \tabularnewline
Sum Squared Residuals & 45.2744 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264048&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.568355[/C][/ROW]
[ROW][C]R-squared[/C][C]0.323027[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.310583[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]25.9578[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]5[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]272[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]0.407983[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]45.2744[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264048&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264048&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 R	0.568355
R-squared	0.323027
Adjusted R-squared	0.310583
F-TEST (value)	25.9578
F-TEST (DF numerator)	5
F-TEST (DF denominator)	272
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.407983
Sum Squared Residuals	45.2744

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	2011	2011.47	-0.468342
2	2011	2011.51	-0.508899
3	2011	2011.48	-0.481936
4	2011	2011.11	-0.108697
5	2011	2011.05	-0.0539648
6	2011	2011.56	-0.562365
7	2011	2011.65	-0.648686
8	2011	2011.58	-0.57505
9	2011	2011.42	-0.420816
10	2011	2011.2	-0.200959
11	2011	2011.42	-0.420267
12	2011	2011.04	-0.0436231
13	2011	2011.37	-0.373683
14	2011	2011.42	-0.415236
15	2011	2010.94	0.0581883
16	2011	2011.44	-0.435034
17	2011	2011.48	-0.482071
18	2011	2011.24	-0.243061
19	2011	2011.35	-0.348353
20	2011	2011.27	-0.268601
21	2011	2011.05	-0.0454383
22	2011	2011.64	-0.644114
23	2011	2011.34	-0.342562
24	2011	2011.64	-0.636854
25	2011	2011.47	-0.470841
26	2011	2011.52	-0.515957
27	2011	2011.9	-0.899368
28	2011	2011.61	-0.611937
29	2011	2011.32	-0.31532
30	2011	2011.42	-0.417411
31	2011	2011.18	-0.177987
32	2011	2011.39	-0.390223
33	2011	2011.25	-0.245728
34	2011	2011.27	-0.271268
35	2011	2011.42	-0.417735
36	2011	2011.37	-0.370602
37	2011	2011.4	-0.400912
38	2011	2011.65	-0.648864
39	2011	2011.27	-0.26711
40	2011	2011.4	-0.404006
41	2011	2011.01	-0.00919603
42	2011	2011.44	-0.440383
43	2011	2011.58	-0.577414
44	2011	2011.37	-0.366612
45	2011	2011.64	-0.641075
46	2011	2011.33	-0.334942
47	2011	2011.47	-0.470103
48	2011	2011.23	-0.226731
49	2011	2011.48	-0.475414
50	2011	2011.62	-0.624589
51	2011	2011.54	-0.537034
52	2011	2011.15	-0.150427
53	2011	2011.42	-0.418812
54	2011	2011.56	-0.556791
55	2011	2011.62	-0.622543
56	2011	2011.31	-0.311879
57	2011	2010.99	0.00630581
58	2011	2011.73	-0.729665
59	2011	2011.28	-0.278972
60	2011	2011.66	-0.664102
61	2011	2011.25	-0.248809
62	2011	2011.49	-0.48793
63	2011	2011.09	-0.0940624
64	2011	2011.79	-0.788195
65	2011	2011.18	-0.181785
66	2011	2011.32	-0.324966
67	2011	2011.36	-0.360314
68	2011	2011.54	-0.544592
69	2011	2011.77	-0.770086
70	2011	2011.56	-0.561195
71	2011	2011.45	-0.447509
72	2011	2011.37	-0.365211
73	2011	2011.23	-0.232041
74	2011	2011.79	-0.788975
75	2011	2011.49	-0.487192
76	2011	2011.47	-0.474864
77	2011	2011.6	-0.600294
78	2011	2011.52	-0.515286
79	2011	2011.42	-0.415454
80	2011	2011.16	-0.162902
81	2011	2011.37	-0.373779
82	2011	2011.66	-0.657615
83	2011	2011.43	-0.429061
84	2011	2010.95	0.0478585
85	2011	2011.47	-0.47255
86	2011	2011.56	-0.559155
87	2011	2011.5	-0.500054
88	2011	2011.45	-0.445187
89	2011	2011.22	-0.215366
90	2011	2011.67	-0.670132
91	2011	2011.67	-0.671533
92	2011	2011.08	-0.0842759
93	2011	2011.42	-0.422673
94	2011	2011.25	-0.253973
95	2011	2011.24	-0.237433
96	2011	2011.25	-0.248716
97	2011	2011.16	-0.162035
98	2011	2011.52	-0.522175
99	2011	2011.71	-0.707415
100	2011	2011.25	-0.252293
101	2011	2011.44	-0.436435
102	2011	2011.38	-0.375405
103	2011	2011.31	-0.305759
104	2011	2011.39	-0.39403
105	2011	2011.76	-0.755625
106	2011	2011.25	-0.249076
107	2011	2011.76	-0.764913
108	2011	2011	-0.00220755
109	2011	2011.03	-0.0264952
110	2011	2011.34	-0.344419
111	2011	2011.46	-0.461862
112	2011	2011.54	-0.54284
113	2012	2010.88	1.12004
114	2012	2011.57	0.429297
115	2012	2012.02	-0.0227442
116	2012	2011.95	0.0474079
117	2012	2011.91	0.0866244
118	2012	2011.67	0.332097
119	2012	2011.92	0.0771171
120	2012	2012.01	-0.00538505
121	2012	2011.81	0.189684
122	2012	2011.55	0.448461
123	2012	2011.99	0.00548454
124	2012	2011.72	0.282663
125	2012	2011.42	0.580639
126	2012	2011.59	0.413888
127	2012	2011.82	0.183162
128	2012	2011.67	0.330513
129	2012	2012.13	-0.125558
130	2012	2011.67	0.330873
131	2012	2011.7	0.301153
132	2012	2011.74	0.262503
133	2012	2011.77	0.232816
134	2012	2011.82	0.180811
135	2012	2011.52	0.475703
136	2012	2011.62	0.382343
137	2012	2011.96	0.0397873
138	2012	2011.18	0.816814
139	2012	2011.93	0.0749091
140	2012	2011.83	0.169568
141	2012	2011.58	0.415472
142	2012	2011.97	0.033814
143	2012	2011.88	0.124991
144	2012	2011.96	0.0385213
145	2012	2011.81	0.194705
146	2012	2011.86	0.137441
147	2012	2011.72	0.279046
148	2012	2011.66	0.341339
149	2012	2011.76	0.238221
150	2012	2012.01	-0.0115039
151	2012	2011.24	0.761668
152	2012	2011.8	0.196207
153	2012	2012.02	-0.0151342
154	2012	2011.82	0.180394
155	2012	2011.77	0.234771
156	2012	2011.72	0.275371
157	2012	2012.05	-0.0497503
158	2012	2011.74	0.257236
159	2012	2011.77	0.234346
160	2012	2011.52	0.478139
161	2012	2012.04	-0.040243
162	2012	2011.94	0.0551435
163	2012	2011.86	0.135804
164	2012	2011.83	0.167753
165	2012	2012.16	-0.159322
166	2012	2011.51	0.493413
167	2012	2012.02	-0.0164965
168	2012	2011.81	0.194899
169	2012	2011.72	0.280224
170	2012	2011.49	0.509674
171	2012	2011.91	0.0930225
172	2012	2011.98	0.0199454
173	2012	2011.77	0.225695
174	2012	2011.78	0.2243
175	2012	2011.78	0.2243
176	2012	2012.04	-0.035471
177	2012	2011.6	0.39885
178	2012	2012.01	-0.00538505
179	2012	2011.83	0.174055
180	2012	2011.1	0.902307
181	2012	2011.59	0.409994
182	2012	2011.65	0.346375
183	2012	2012.09	-0.0878183
184	2012	2011.77	0.232003
185	2012	2011.65	0.354578
186	2012	2011.82	0.181251
187	2012	2011.92	0.0770315
188	2012	2011.57	0.427208
189	2012	2011.51	0.486836
190	2012	2011.63	0.374145
191	2012	2011.44	0.561739
192	2012	2011.97	0.0306933
193	2012	2011.41	0.585853
194	2012	2012.08	-0.0815632
195	2012	2011.73	0.270612
196	2012	2011.79	0.208482
197	2012	2011.65	0.348222
198	2012	2011.78	0.216069
199	2012	2011.78	0.217322
200	2012	2011.9	0.0993198
201	2012	2012.07	-0.0729478
202	2012	2011.73	0.267023
203	2012	2011.59	0.405686
204	2012	2011.77	0.22603
205	2012	2011.58	0.423314
206	2012	2011.71	0.288012
207	2012	2011.31	0.694294
208	2012	2011.63	0.373606
209	2012	2012.28	-0.280385
210	2012	2012	-0.00140401
211	2012	2011.48	0.516432
212	2012	2011.74	0.262368
213	2012	2011.45	0.551054
214	2012	2011.59	0.406553
215	2012	2011.78	0.216636
216	2012	2011.59	0.406817
217	2012	2011.94	0.0593123
218	2012	2011.98	0.0223953
219	2012	2011.48	0.520601
220	2012	2011.78	0.215139
221	2012	2011.94	0.0578633
222	2012	2011.23	0.772141
223	2012	2011.53	0.471335
224	2012	2011.89	0.11048
225	2012	2012.09	-0.0932998
226	2012	2011.77	0.234357
227	2012	2011.88	0.115688
228	2012	2011.87	0.129464
229	2012	2012	-0.00207879
230	2012	2012.03	-0.026778
231	2012	2012.05	-0.0512282
232	2012	2012	-0.00356991
233	2012	2011.66	0.336087
234	2012	2011.56	0.440538
235	2012	2011.37	0.628145
236	2012	2010.84	1.15684
237	2012	2011.49	0.513664
238	2012	2011.67	0.330513
239	2012	2011.58	0.420973
240	2012	2011.63	0.374334
241	2012	2011.53	0.470393
242	2012	2011.47	0.531067
243	2012	2011.84	0.162265
244	2012	2012.16	-0.159322
245	2012	2011.53	0.465308
246	2012	2011.81	0.185463
247	2012	2011.93	0.0703696
248	2012	2011.66	0.336857
249	2012	2011.76	0.241111
250	2012	2011.62	0.375104
251	2012	2011.46	0.542214
252	2012	2011.39	0.614495
253	2012	2011.83	0.172957
254	2012	2011.78	0.220225
255	2012	2011.6	0.404096
256	2012	2011.91	0.0949726
257	2012	2011.28	0.724499
258	2012	2011.03	0.965209
259	2012	2011.59	0.405455
260	2012	2011.3	0.704383
261	2012	2011.51	0.493413
262	2012	2011.51	0.493908
263	2012	2011.44	0.556672
264	2012	2011.84	0.162265
265	2012	2011.95	0.0458534
266	2012	2011.66	0.340267
267	2012	2011.66	0.340391
268	2012	2011.9	0.0991546
269	2012	2011.96	0.0435464
270	2012	2011.49	0.513529
271	2012	2011.8	0.201734
272	2012	2011.59	0.411125
273	2012	2011.91	0.0852006
274	2012	2011.98	0.0199348
275	2012	2011.84	0.162814
276	2012	2011.61	0.38992
277	2012	2011.89	0.113463
278	2012	2011.23	0.771265

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 2011 & 2011.47 & -0.468342 \tabularnewline
2 & 2011 & 2011.51 & -0.508899 \tabularnewline
3 & 2011 & 2011.48 & -0.481936 \tabularnewline
4 & 2011 & 2011.11 & -0.108697 \tabularnewline
5 & 2011 & 2011.05 & -0.0539648 \tabularnewline
6 & 2011 & 2011.56 & -0.562365 \tabularnewline
7 & 2011 & 2011.65 & -0.648686 \tabularnewline
8 & 2011 & 2011.58 & -0.57505 \tabularnewline
9 & 2011 & 2011.42 & -0.420816 \tabularnewline
10 & 2011 & 2011.2 & -0.200959 \tabularnewline
11 & 2011 & 2011.42 & -0.420267 \tabularnewline
12 & 2011 & 2011.04 & -0.0436231 \tabularnewline
13 & 2011 & 2011.37 & -0.373683 \tabularnewline
14 & 2011 & 2011.42 & -0.415236 \tabularnewline
15 & 2011 & 2010.94 & 0.0581883 \tabularnewline
16 & 2011 & 2011.44 & -0.435034 \tabularnewline
17 & 2011 & 2011.48 & -0.482071 \tabularnewline
18 & 2011 & 2011.24 & -0.243061 \tabularnewline
19 & 2011 & 2011.35 & -0.348353 \tabularnewline
20 & 2011 & 2011.27 & -0.268601 \tabularnewline
21 & 2011 & 2011.05 & -0.0454383 \tabularnewline
22 & 2011 & 2011.64 & -0.644114 \tabularnewline
23 & 2011 & 2011.34 & -0.342562 \tabularnewline
24 & 2011 & 2011.64 & -0.636854 \tabularnewline
25 & 2011 & 2011.47 & -0.470841 \tabularnewline
26 & 2011 & 2011.52 & -0.515957 \tabularnewline
27 & 2011 & 2011.9 & -0.899368 \tabularnewline
28 & 2011 & 2011.61 & -0.611937 \tabularnewline
29 & 2011 & 2011.32 & -0.31532 \tabularnewline
30 & 2011 & 2011.42 & -0.417411 \tabularnewline
31 & 2011 & 2011.18 & -0.177987 \tabularnewline
32 & 2011 & 2011.39 & -0.390223 \tabularnewline
33 & 2011 & 2011.25 & -0.245728 \tabularnewline
34 & 2011 & 2011.27 & -0.271268 \tabularnewline
35 & 2011 & 2011.42 & -0.417735 \tabularnewline
36 & 2011 & 2011.37 & -0.370602 \tabularnewline
37 & 2011 & 2011.4 & -0.400912 \tabularnewline
38 & 2011 & 2011.65 & -0.648864 \tabularnewline
39 & 2011 & 2011.27 & -0.26711 \tabularnewline
40 & 2011 & 2011.4 & -0.404006 \tabularnewline
41 & 2011 & 2011.01 & -0.00919603 \tabularnewline
42 & 2011 & 2011.44 & -0.440383 \tabularnewline
43 & 2011 & 2011.58 & -0.577414 \tabularnewline
44 & 2011 & 2011.37 & -0.366612 \tabularnewline
45 & 2011 & 2011.64 & -0.641075 \tabularnewline
46 & 2011 & 2011.33 & -0.334942 \tabularnewline
47 & 2011 & 2011.47 & -0.470103 \tabularnewline
48 & 2011 & 2011.23 & -0.226731 \tabularnewline
49 & 2011 & 2011.48 & -0.475414 \tabularnewline
50 & 2011 & 2011.62 & -0.624589 \tabularnewline
51 & 2011 & 2011.54 & -0.537034 \tabularnewline
52 & 2011 & 2011.15 & -0.150427 \tabularnewline
53 & 2011 & 2011.42 & -0.418812 \tabularnewline
54 & 2011 & 2011.56 & -0.556791 \tabularnewline
55 & 2011 & 2011.62 & -0.622543 \tabularnewline
56 & 2011 & 2011.31 & -0.311879 \tabularnewline
57 & 2011 & 2010.99 & 0.00630581 \tabularnewline
58 & 2011 & 2011.73 & -0.729665 \tabularnewline
59 & 2011 & 2011.28 & -0.278972 \tabularnewline
60 & 2011 & 2011.66 & -0.664102 \tabularnewline
61 & 2011 & 2011.25 & -0.248809 \tabularnewline
62 & 2011 & 2011.49 & -0.48793 \tabularnewline
63 & 2011 & 2011.09 & -0.0940624 \tabularnewline
64 & 2011 & 2011.79 & -0.788195 \tabularnewline
65 & 2011 & 2011.18 & -0.181785 \tabularnewline
66 & 2011 & 2011.32 & -0.324966 \tabularnewline
67 & 2011 & 2011.36 & -0.360314 \tabularnewline
68 & 2011 & 2011.54 & -0.544592 \tabularnewline
69 & 2011 & 2011.77 & -0.770086 \tabularnewline
70 & 2011 & 2011.56 & -0.561195 \tabularnewline
71 & 2011 & 2011.45 & -0.447509 \tabularnewline
72 & 2011 & 2011.37 & -0.365211 \tabularnewline
73 & 2011 & 2011.23 & -0.232041 \tabularnewline
74 & 2011 & 2011.79 & -0.788975 \tabularnewline
75 & 2011 & 2011.49 & -0.487192 \tabularnewline
76 & 2011 & 2011.47 & -0.474864 \tabularnewline
77 & 2011 & 2011.6 & -0.600294 \tabularnewline
78 & 2011 & 2011.52 & -0.515286 \tabularnewline
79 & 2011 & 2011.42 & -0.415454 \tabularnewline
80 & 2011 & 2011.16 & -0.162902 \tabularnewline
81 & 2011 & 2011.37 & -0.373779 \tabularnewline
82 & 2011 & 2011.66 & -0.657615 \tabularnewline
83 & 2011 & 2011.43 & -0.429061 \tabularnewline
84 & 2011 & 2010.95 & 0.0478585 \tabularnewline
85 & 2011 & 2011.47 & -0.47255 \tabularnewline
86 & 2011 & 2011.56 & -0.559155 \tabularnewline
87 & 2011 & 2011.5 & -0.500054 \tabularnewline
88 & 2011 & 2011.45 & -0.445187 \tabularnewline
89 & 2011 & 2011.22 & -0.215366 \tabularnewline
90 & 2011 & 2011.67 & -0.670132 \tabularnewline
91 & 2011 & 2011.67 & -0.671533 \tabularnewline
92 & 2011 & 2011.08 & -0.0842759 \tabularnewline
93 & 2011 & 2011.42 & -0.422673 \tabularnewline
94 & 2011 & 2011.25 & -0.253973 \tabularnewline
95 & 2011 & 2011.24 & -0.237433 \tabularnewline
96 & 2011 & 2011.25 & -0.248716 \tabularnewline
97 & 2011 & 2011.16 & -0.162035 \tabularnewline
98 & 2011 & 2011.52 & -0.522175 \tabularnewline
99 & 2011 & 2011.71 & -0.707415 \tabularnewline
100 & 2011 & 2011.25 & -0.252293 \tabularnewline
101 & 2011 & 2011.44 & -0.436435 \tabularnewline
102 & 2011 & 2011.38 & -0.375405 \tabularnewline
103 & 2011 & 2011.31 & -0.305759 \tabularnewline
104 & 2011 & 2011.39 & -0.39403 \tabularnewline
105 & 2011 & 2011.76 & -0.755625 \tabularnewline
106 & 2011 & 2011.25 & -0.249076 \tabularnewline
107 & 2011 & 2011.76 & -0.764913 \tabularnewline
108 & 2011 & 2011 & -0.00220755 \tabularnewline
109 & 2011 & 2011.03 & -0.0264952 \tabularnewline
110 & 2011 & 2011.34 & -0.344419 \tabularnewline
111 & 2011 & 2011.46 & -0.461862 \tabularnewline
112 & 2011 & 2011.54 & -0.54284 \tabularnewline
113 & 2012 & 2010.88 & 1.12004 \tabularnewline
114 & 2012 & 2011.57 & 0.429297 \tabularnewline
115 & 2012 & 2012.02 & -0.0227442 \tabularnewline
116 & 2012 & 2011.95 & 0.0474079 \tabularnewline
117 & 2012 & 2011.91 & 0.0866244 \tabularnewline
118 & 2012 & 2011.67 & 0.332097 \tabularnewline
119 & 2012 & 2011.92 & 0.0771171 \tabularnewline
120 & 2012 & 2012.01 & -0.00538505 \tabularnewline
121 & 2012 & 2011.81 & 0.189684 \tabularnewline
122 & 2012 & 2011.55 & 0.448461 \tabularnewline
123 & 2012 & 2011.99 & 0.00548454 \tabularnewline
124 & 2012 & 2011.72 & 0.282663 \tabularnewline
125 & 2012 & 2011.42 & 0.580639 \tabularnewline
126 & 2012 & 2011.59 & 0.413888 \tabularnewline
127 & 2012 & 2011.82 & 0.183162 \tabularnewline
128 & 2012 & 2011.67 & 0.330513 \tabularnewline
129 & 2012 & 2012.13 & -0.125558 \tabularnewline
130 & 2012 & 2011.67 & 0.330873 \tabularnewline
131 & 2012 & 2011.7 & 0.301153 \tabularnewline
132 & 2012 & 2011.74 & 0.262503 \tabularnewline
133 & 2012 & 2011.77 & 0.232816 \tabularnewline
134 & 2012 & 2011.82 & 0.180811 \tabularnewline
135 & 2012 & 2011.52 & 0.475703 \tabularnewline
136 & 2012 & 2011.62 & 0.382343 \tabularnewline
137 & 2012 & 2011.96 & 0.0397873 \tabularnewline
138 & 2012 & 2011.18 & 0.816814 \tabularnewline
139 & 2012 & 2011.93 & 0.0749091 \tabularnewline
140 & 2012 & 2011.83 & 0.169568 \tabularnewline
141 & 2012 & 2011.58 & 0.415472 \tabularnewline
142 & 2012 & 2011.97 & 0.033814 \tabularnewline
143 & 2012 & 2011.88 & 0.124991 \tabularnewline
144 & 2012 & 2011.96 & 0.0385213 \tabularnewline
145 & 2012 & 2011.81 & 0.194705 \tabularnewline
146 & 2012 & 2011.86 & 0.137441 \tabularnewline
147 & 2012 & 2011.72 & 0.279046 \tabularnewline
148 & 2012 & 2011.66 & 0.341339 \tabularnewline
149 & 2012 & 2011.76 & 0.238221 \tabularnewline
150 & 2012 & 2012.01 & -0.0115039 \tabularnewline
151 & 2012 & 2011.24 & 0.761668 \tabularnewline
152 & 2012 & 2011.8 & 0.196207 \tabularnewline
153 & 2012 & 2012.02 & -0.0151342 \tabularnewline
154 & 2012 & 2011.82 & 0.180394 \tabularnewline
155 & 2012 & 2011.77 & 0.234771 \tabularnewline
156 & 2012 & 2011.72 & 0.275371 \tabularnewline
157 & 2012 & 2012.05 & -0.0497503 \tabularnewline
158 & 2012 & 2011.74 & 0.257236 \tabularnewline
159 & 2012 & 2011.77 & 0.234346 \tabularnewline
160 & 2012 & 2011.52 & 0.478139 \tabularnewline
161 & 2012 & 2012.04 & -0.040243 \tabularnewline
162 & 2012 & 2011.94 & 0.0551435 \tabularnewline
163 & 2012 & 2011.86 & 0.135804 \tabularnewline
164 & 2012 & 2011.83 & 0.167753 \tabularnewline
165 & 2012 & 2012.16 & -0.159322 \tabularnewline
166 & 2012 & 2011.51 & 0.493413 \tabularnewline
167 & 2012 & 2012.02 & -0.0164965 \tabularnewline
168 & 2012 & 2011.81 & 0.194899 \tabularnewline
169 & 2012 & 2011.72 & 0.280224 \tabularnewline
170 & 2012 & 2011.49 & 0.509674 \tabularnewline
171 & 2012 & 2011.91 & 0.0930225 \tabularnewline
172 & 2012 & 2011.98 & 0.0199454 \tabularnewline
173 & 2012 & 2011.77 & 0.225695 \tabularnewline
174 & 2012 & 2011.78 & 0.2243 \tabularnewline
175 & 2012 & 2011.78 & 0.2243 \tabularnewline
176 & 2012 & 2012.04 & -0.035471 \tabularnewline
177 & 2012 & 2011.6 & 0.39885 \tabularnewline
178 & 2012 & 2012.01 & -0.00538505 \tabularnewline
179 & 2012 & 2011.83 & 0.174055 \tabularnewline
180 & 2012 & 2011.1 & 0.902307 \tabularnewline
181 & 2012 & 2011.59 & 0.409994 \tabularnewline
182 & 2012 & 2011.65 & 0.346375 \tabularnewline
183 & 2012 & 2012.09 & -0.0878183 \tabularnewline
184 & 2012 & 2011.77 & 0.232003 \tabularnewline
185 & 2012 & 2011.65 & 0.354578 \tabularnewline
186 & 2012 & 2011.82 & 0.181251 \tabularnewline
187 & 2012 & 2011.92 & 0.0770315 \tabularnewline
188 & 2012 & 2011.57 & 0.427208 \tabularnewline
189 & 2012 & 2011.51 & 0.486836 \tabularnewline
190 & 2012 & 2011.63 & 0.374145 \tabularnewline
191 & 2012 & 2011.44 & 0.561739 \tabularnewline
192 & 2012 & 2011.97 & 0.0306933 \tabularnewline
193 & 2012 & 2011.41 & 0.585853 \tabularnewline
194 & 2012 & 2012.08 & -0.0815632 \tabularnewline
195 & 2012 & 2011.73 & 0.270612 \tabularnewline
196 & 2012 & 2011.79 & 0.208482 \tabularnewline
197 & 2012 & 2011.65 & 0.348222 \tabularnewline
198 & 2012 & 2011.78 & 0.216069 \tabularnewline
199 & 2012 & 2011.78 & 0.217322 \tabularnewline
200 & 2012 & 2011.9 & 0.0993198 \tabularnewline
201 & 2012 & 2012.07 & -0.0729478 \tabularnewline
202 & 2012 & 2011.73 & 0.267023 \tabularnewline
203 & 2012 & 2011.59 & 0.405686 \tabularnewline
204 & 2012 & 2011.77 & 0.22603 \tabularnewline
205 & 2012 & 2011.58 & 0.423314 \tabularnewline
206 & 2012 & 2011.71 & 0.288012 \tabularnewline
207 & 2012 & 2011.31 & 0.694294 \tabularnewline
208 & 2012 & 2011.63 & 0.373606 \tabularnewline
209 & 2012 & 2012.28 & -0.280385 \tabularnewline
210 & 2012 & 2012 & -0.00140401 \tabularnewline
211 & 2012 & 2011.48 & 0.516432 \tabularnewline
212 & 2012 & 2011.74 & 0.262368 \tabularnewline
213 & 2012 & 2011.45 & 0.551054 \tabularnewline
214 & 2012 & 2011.59 & 0.406553 \tabularnewline
215 & 2012 & 2011.78 & 0.216636 \tabularnewline
216 & 2012 & 2011.59 & 0.406817 \tabularnewline
217 & 2012 & 2011.94 & 0.0593123 \tabularnewline
218 & 2012 & 2011.98 & 0.0223953 \tabularnewline
219 & 2012 & 2011.48 & 0.520601 \tabularnewline
220 & 2012 & 2011.78 & 0.215139 \tabularnewline
221 & 2012 & 2011.94 & 0.0578633 \tabularnewline
222 & 2012 & 2011.23 & 0.772141 \tabularnewline
223 & 2012 & 2011.53 & 0.471335 \tabularnewline
224 & 2012 & 2011.89 & 0.11048 \tabularnewline
225 & 2012 & 2012.09 & -0.0932998 \tabularnewline
226 & 2012 & 2011.77 & 0.234357 \tabularnewline
227 & 2012 & 2011.88 & 0.115688 \tabularnewline
228 & 2012 & 2011.87 & 0.129464 \tabularnewline
229 & 2012 & 2012 & -0.00207879 \tabularnewline
230 & 2012 & 2012.03 & -0.026778 \tabularnewline
231 & 2012 & 2012.05 & -0.0512282 \tabularnewline
232 & 2012 & 2012 & -0.00356991 \tabularnewline
233 & 2012 & 2011.66 & 0.336087 \tabularnewline
234 & 2012 & 2011.56 & 0.440538 \tabularnewline
235 & 2012 & 2011.37 & 0.628145 \tabularnewline
236 & 2012 & 2010.84 & 1.15684 \tabularnewline
237 & 2012 & 2011.49 & 0.513664 \tabularnewline
238 & 2012 & 2011.67 & 0.330513 \tabularnewline
239 & 2012 & 2011.58 & 0.420973 \tabularnewline
240 & 2012 & 2011.63 & 0.374334 \tabularnewline
241 & 2012 & 2011.53 & 0.470393 \tabularnewline
242 & 2012 & 2011.47 & 0.531067 \tabularnewline
243 & 2012 & 2011.84 & 0.162265 \tabularnewline
244 & 2012 & 2012.16 & -0.159322 \tabularnewline
245 & 2012 & 2011.53 & 0.465308 \tabularnewline
246 & 2012 & 2011.81 & 0.185463 \tabularnewline
247 & 2012 & 2011.93 & 0.0703696 \tabularnewline
248 & 2012 & 2011.66 & 0.336857 \tabularnewline
249 & 2012 & 2011.76 & 0.241111 \tabularnewline
250 & 2012 & 2011.62 & 0.375104 \tabularnewline
251 & 2012 & 2011.46 & 0.542214 \tabularnewline
252 & 2012 & 2011.39 & 0.614495 \tabularnewline
253 & 2012 & 2011.83 & 0.172957 \tabularnewline
254 & 2012 & 2011.78 & 0.220225 \tabularnewline
255 & 2012 & 2011.6 & 0.404096 \tabularnewline
256 & 2012 & 2011.91 & 0.0949726 \tabularnewline
257 & 2012 & 2011.28 & 0.724499 \tabularnewline
258 & 2012 & 2011.03 & 0.965209 \tabularnewline
259 & 2012 & 2011.59 & 0.405455 \tabularnewline
260 & 2012 & 2011.3 & 0.704383 \tabularnewline
261 & 2012 & 2011.51 & 0.493413 \tabularnewline
262 & 2012 & 2011.51 & 0.493908 \tabularnewline
263 & 2012 & 2011.44 & 0.556672 \tabularnewline
264 & 2012 & 2011.84 & 0.162265 \tabularnewline
265 & 2012 & 2011.95 & 0.0458534 \tabularnewline
266 & 2012 & 2011.66 & 0.340267 \tabularnewline
267 & 2012 & 2011.66 & 0.340391 \tabularnewline
268 & 2012 & 2011.9 & 0.0991546 \tabularnewline
269 & 2012 & 2011.96 & 0.0435464 \tabularnewline
270 & 2012 & 2011.49 & 0.513529 \tabularnewline
271 & 2012 & 2011.8 & 0.201734 \tabularnewline
272 & 2012 & 2011.59 & 0.411125 \tabularnewline
273 & 2012 & 2011.91 & 0.0852006 \tabularnewline
274 & 2012 & 2011.98 & 0.0199348 \tabularnewline
275 & 2012 & 2011.84 & 0.162814 \tabularnewline
276 & 2012 & 2011.61 & 0.38992 \tabularnewline
277 & 2012 & 2011.89 & 0.113463 \tabularnewline
278 & 2012 & 2011.23 & 0.771265 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264048&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]2011[/C][C]2011.47[/C][C]-0.468342[/C][/ROW]
[ROW][C]2[/C][C]2011[/C][C]2011.51[/C][C]-0.508899[/C][/ROW]
[ROW][C]3[/C][C]2011[/C][C]2011.48[/C][C]-0.481936[/C][/ROW]
[ROW][C]4[/C][C]2011[/C][C]2011.11[/C][C]-0.108697[/C][/ROW]
[ROW][C]5[/C][C]2011[/C][C]2011.05[/C][C]-0.0539648[/C][/ROW]
[ROW][C]6[/C][C]2011[/C][C]2011.56[/C][C]-0.562365[/C][/ROW]
[ROW][C]7[/C][C]2011[/C][C]2011.65[/C][C]-0.648686[/C][/ROW]
[ROW][C]8[/C][C]2011[/C][C]2011.58[/C][C]-0.57505[/C][/ROW]
[ROW][C]9[/C][C]2011[/C][C]2011.42[/C][C]-0.420816[/C][/ROW]
[ROW][C]10[/C][C]2011[/C][C]2011.2[/C][C]-0.200959[/C][/ROW]
[ROW][C]11[/C][C]2011[/C][C]2011.42[/C][C]-0.420267[/C][/ROW]
[ROW][C]12[/C][C]2011[/C][C]2011.04[/C][C]-0.0436231[/C][/ROW]
[ROW][C]13[/C][C]2011[/C][C]2011.37[/C][C]-0.373683[/C][/ROW]
[ROW][C]14[/C][C]2011[/C][C]2011.42[/C][C]-0.415236[/C][/ROW]
[ROW][C]15[/C][C]2011[/C][C]2010.94[/C][C]0.0581883[/C][/ROW]
[ROW][C]16[/C][C]2011[/C][C]2011.44[/C][C]-0.435034[/C][/ROW]
[ROW][C]17[/C][C]2011[/C][C]2011.48[/C][C]-0.482071[/C][/ROW]
[ROW][C]18[/C][C]2011[/C][C]2011.24[/C][C]-0.243061[/C][/ROW]
[ROW][C]19[/C][C]2011[/C][C]2011.35[/C][C]-0.348353[/C][/ROW]
[ROW][C]20[/C][C]2011[/C][C]2011.27[/C][C]-0.268601[/C][/ROW]
[ROW][C]21[/C][C]2011[/C][C]2011.05[/C][C]-0.0454383[/C][/ROW]
[ROW][C]22[/C][C]2011[/C][C]2011.64[/C][C]-0.644114[/C][/ROW]
[ROW][C]23[/C][C]2011[/C][C]2011.34[/C][C]-0.342562[/C][/ROW]
[ROW][C]24[/C][C]2011[/C][C]2011.64[/C][C]-0.636854[/C][/ROW]
[ROW][C]25[/C][C]2011[/C][C]2011.47[/C][C]-0.470841[/C][/ROW]
[ROW][C]26[/C][C]2011[/C][C]2011.52[/C][C]-0.515957[/C][/ROW]
[ROW][C]27[/C][C]2011[/C][C]2011.9[/C][C]-0.899368[/C][/ROW]
[ROW][C]28[/C][C]2011[/C][C]2011.61[/C][C]-0.611937[/C][/ROW]
[ROW][C]29[/C][C]2011[/C][C]2011.32[/C][C]-0.31532[/C][/ROW]
[ROW][C]30[/C][C]2011[/C][C]2011.42[/C][C]-0.417411[/C][/ROW]
[ROW][C]31[/C][C]2011[/C][C]2011.18[/C][C]-0.177987[/C][/ROW]
[ROW][C]32[/C][C]2011[/C][C]2011.39[/C][C]-0.390223[/C][/ROW]
[ROW][C]33[/C][C]2011[/C][C]2011.25[/C][C]-0.245728[/C][/ROW]
[ROW][C]34[/C][C]2011[/C][C]2011.27[/C][C]-0.271268[/C][/ROW]
[ROW][C]35[/C][C]2011[/C][C]2011.42[/C][C]-0.417735[/C][/ROW]
[ROW][C]36[/C][C]2011[/C][C]2011.37[/C][C]-0.370602[/C][/ROW]
[ROW][C]37[/C][C]2011[/C][C]2011.4[/C][C]-0.400912[/C][/ROW]
[ROW][C]38[/C][C]2011[/C][C]2011.65[/C][C]-0.648864[/C][/ROW]
[ROW][C]39[/C][C]2011[/C][C]2011.27[/C][C]-0.26711[/C][/ROW]
[ROW][C]40[/C][C]2011[/C][C]2011.4[/C][C]-0.404006[/C][/ROW]
[ROW][C]41[/C][C]2011[/C][C]2011.01[/C][C]-0.00919603[/C][/ROW]
[ROW][C]42[/C][C]2011[/C][C]2011.44[/C][C]-0.440383[/C][/ROW]
[ROW][C]43[/C][C]2011[/C][C]2011.58[/C][C]-0.577414[/C][/ROW]
[ROW][C]44[/C][C]2011[/C][C]2011.37[/C][C]-0.366612[/C][/ROW]
[ROW][C]45[/C][C]2011[/C][C]2011.64[/C][C]-0.641075[/C][/ROW]
[ROW][C]46[/C][C]2011[/C][C]2011.33[/C][C]-0.334942[/C][/ROW]
[ROW][C]47[/C][C]2011[/C][C]2011.47[/C][C]-0.470103[/C][/ROW]
[ROW][C]48[/C][C]2011[/C][C]2011.23[/C][C]-0.226731[/C][/ROW]
[ROW][C]49[/C][C]2011[/C][C]2011.48[/C][C]-0.475414[/C][/ROW]
[ROW][C]50[/C][C]2011[/C][C]2011.62[/C][C]-0.624589[/C][/ROW]
[ROW][C]51[/C][C]2011[/C][C]2011.54[/C][C]-0.537034[/C][/ROW]
[ROW][C]52[/C][C]2011[/C][C]2011.15[/C][C]-0.150427[/C][/ROW]
[ROW][C]53[/C][C]2011[/C][C]2011.42[/C][C]-0.418812[/C][/ROW]
[ROW][C]54[/C][C]2011[/C][C]2011.56[/C][C]-0.556791[/C][/ROW]
[ROW][C]55[/C][C]2011[/C][C]2011.62[/C][C]-0.622543[/C][/ROW]
[ROW][C]56[/C][C]2011[/C][C]2011.31[/C][C]-0.311879[/C][/ROW]
[ROW][C]57[/C][C]2011[/C][C]2010.99[/C][C]0.00630581[/C][/ROW]
[ROW][C]58[/C][C]2011[/C][C]2011.73[/C][C]-0.729665[/C][/ROW]
[ROW][C]59[/C][C]2011[/C][C]2011.28[/C][C]-0.278972[/C][/ROW]
[ROW][C]60[/C][C]2011[/C][C]2011.66[/C][C]-0.664102[/C][/ROW]
[ROW][C]61[/C][C]2011[/C][C]2011.25[/C][C]-0.248809[/C][/ROW]
[ROW][C]62[/C][C]2011[/C][C]2011.49[/C][C]-0.48793[/C][/ROW]
[ROW][C]63[/C][C]2011[/C][C]2011.09[/C][C]-0.0940624[/C][/ROW]
[ROW][C]64[/C][C]2011[/C][C]2011.79[/C][C]-0.788195[/C][/ROW]
[ROW][C]65[/C][C]2011[/C][C]2011.18[/C][C]-0.181785[/C][/ROW]
[ROW][C]66[/C][C]2011[/C][C]2011.32[/C][C]-0.324966[/C][/ROW]
[ROW][C]67[/C][C]2011[/C][C]2011.36[/C][C]-0.360314[/C][/ROW]
[ROW][C]68[/C][C]2011[/C][C]2011.54[/C][C]-0.544592[/C][/ROW]
[ROW][C]69[/C][C]2011[/C][C]2011.77[/C][C]-0.770086[/C][/ROW]
[ROW][C]70[/C][C]2011[/C][C]2011.56[/C][C]-0.561195[/C][/ROW]
[ROW][C]71[/C][C]2011[/C][C]2011.45[/C][C]-0.447509[/C][/ROW]
[ROW][C]72[/C][C]2011[/C][C]2011.37[/C][C]-0.365211[/C][/ROW]
[ROW][C]73[/C][C]2011[/C][C]2011.23[/C][C]-0.232041[/C][/ROW]
[ROW][C]74[/C][C]2011[/C][C]2011.79[/C][C]-0.788975[/C][/ROW]
[ROW][C]75[/C][C]2011[/C][C]2011.49[/C][C]-0.487192[/C][/ROW]
[ROW][C]76[/C][C]2011[/C][C]2011.47[/C][C]-0.474864[/C][/ROW]
[ROW][C]77[/C][C]2011[/C][C]2011.6[/C][C]-0.600294[/C][/ROW]
[ROW][C]78[/C][C]2011[/C][C]2011.52[/C][C]-0.515286[/C][/ROW]
[ROW][C]79[/C][C]2011[/C][C]2011.42[/C][C]-0.415454[/C][/ROW]
[ROW][C]80[/C][C]2011[/C][C]2011.16[/C][C]-0.162902[/C][/ROW]
[ROW][C]81[/C][C]2011[/C][C]2011.37[/C][C]-0.373779[/C][/ROW]
[ROW][C]82[/C][C]2011[/C][C]2011.66[/C][C]-0.657615[/C][/ROW]
[ROW][C]83[/C][C]2011[/C][C]2011.43[/C][C]-0.429061[/C][/ROW]
[ROW][C]84[/C][C]2011[/C][C]2010.95[/C][C]0.0478585[/C][/ROW]
[ROW][C]85[/C][C]2011[/C][C]2011.47[/C][C]-0.47255[/C][/ROW]
[ROW][C]86[/C][C]2011[/C][C]2011.56[/C][C]-0.559155[/C][/ROW]
[ROW][C]87[/C][C]2011[/C][C]2011.5[/C][C]-0.500054[/C][/ROW]
[ROW][C]88[/C][C]2011[/C][C]2011.45[/C][C]-0.445187[/C][/ROW]
[ROW][C]89[/C][C]2011[/C][C]2011.22[/C][C]-0.215366[/C][/ROW]
[ROW][C]90[/C][C]2011[/C][C]2011.67[/C][C]-0.670132[/C][/ROW]
[ROW][C]91[/C][C]2011[/C][C]2011.67[/C][C]-0.671533[/C][/ROW]
[ROW][C]92[/C][C]2011[/C][C]2011.08[/C][C]-0.0842759[/C][/ROW]
[ROW][C]93[/C][C]2011[/C][C]2011.42[/C][C]-0.422673[/C][/ROW]
[ROW][C]94[/C][C]2011[/C][C]2011.25[/C][C]-0.253973[/C][/ROW]
[ROW][C]95[/C][C]2011[/C][C]2011.24[/C][C]-0.237433[/C][/ROW]
[ROW][C]96[/C][C]2011[/C][C]2011.25[/C][C]-0.248716[/C][/ROW]
[ROW][C]97[/C][C]2011[/C][C]2011.16[/C][C]-0.162035[/C][/ROW]
[ROW][C]98[/C][C]2011[/C][C]2011.52[/C][C]-0.522175[/C][/ROW]
[ROW][C]99[/C][C]2011[/C][C]2011.71[/C][C]-0.707415[/C][/ROW]
[ROW][C]100[/C][C]2011[/C][C]2011.25[/C][C]-0.252293[/C][/ROW]
[ROW][C]101[/C][C]2011[/C][C]2011.44[/C][C]-0.436435[/C][/ROW]
[ROW][C]102[/C][C]2011[/C][C]2011.38[/C][C]-0.375405[/C][/ROW]
[ROW][C]103[/C][C]2011[/C][C]2011.31[/C][C]-0.305759[/C][/ROW]
[ROW][C]104[/C][C]2011[/C][C]2011.39[/C][C]-0.39403[/C][/ROW]
[ROW][C]105[/C][C]2011[/C][C]2011.76[/C][C]-0.755625[/C][/ROW]
[ROW][C]106[/C][C]2011[/C][C]2011.25[/C][C]-0.249076[/C][/ROW]
[ROW][C]107[/C][C]2011[/C][C]2011.76[/C][C]-0.764913[/C][/ROW]
[ROW][C]108[/C][C]2011[/C][C]2011[/C][C]-0.00220755[/C][/ROW]
[ROW][C]109[/C][C]2011[/C][C]2011.03[/C][C]-0.0264952[/C][/ROW]
[ROW][C]110[/C][C]2011[/C][C]2011.34[/C][C]-0.344419[/C][/ROW]
[ROW][C]111[/C][C]2011[/C][C]2011.46[/C][C]-0.461862[/C][/ROW]
[ROW][C]112[/C][C]2011[/C][C]2011.54[/C][C]-0.54284[/C][/ROW]
[ROW][C]113[/C][C]2012[/C][C]2010.88[/C][C]1.12004[/C][/ROW]
[ROW][C]114[/C][C]2012[/C][C]2011.57[/C][C]0.429297[/C][/ROW]
[ROW][C]115[/C][C]2012[/C][C]2012.02[/C][C]-0.0227442[/C][/ROW]
[ROW][C]116[/C][C]2012[/C][C]2011.95[/C][C]0.0474079[/C][/ROW]
[ROW][C]117[/C][C]2012[/C][C]2011.91[/C][C]0.0866244[/C][/ROW]
[ROW][C]118[/C][C]2012[/C][C]2011.67[/C][C]0.332097[/C][/ROW]
[ROW][C]119[/C][C]2012[/C][C]2011.92[/C][C]0.0771171[/C][/ROW]
[ROW][C]120[/C][C]2012[/C][C]2012.01[/C][C]-0.00538505[/C][/ROW]
[ROW][C]121[/C][C]2012[/C][C]2011.81[/C][C]0.189684[/C][/ROW]
[ROW][C]122[/C][C]2012[/C][C]2011.55[/C][C]0.448461[/C][/ROW]
[ROW][C]123[/C][C]2012[/C][C]2011.99[/C][C]0.00548454[/C][/ROW]
[ROW][C]124[/C][C]2012[/C][C]2011.72[/C][C]0.282663[/C][/ROW]
[ROW][C]125[/C][C]2012[/C][C]2011.42[/C][C]0.580639[/C][/ROW]
[ROW][C]126[/C][C]2012[/C][C]2011.59[/C][C]0.413888[/C][/ROW]
[ROW][C]127[/C][C]2012[/C][C]2011.82[/C][C]0.183162[/C][/ROW]
[ROW][C]128[/C][C]2012[/C][C]2011.67[/C][C]0.330513[/C][/ROW]
[ROW][C]129[/C][C]2012[/C][C]2012.13[/C][C]-0.125558[/C][/ROW]
[ROW][C]130[/C][C]2012[/C][C]2011.67[/C][C]0.330873[/C][/ROW]
[ROW][C]131[/C][C]2012[/C][C]2011.7[/C][C]0.301153[/C][/ROW]
[ROW][C]132[/C][C]2012[/C][C]2011.74[/C][C]0.262503[/C][/ROW]
[ROW][C]133[/C][C]2012[/C][C]2011.77[/C][C]0.232816[/C][/ROW]
[ROW][C]134[/C][C]2012[/C][C]2011.82[/C][C]0.180811[/C][/ROW]
[ROW][C]135[/C][C]2012[/C][C]2011.52[/C][C]0.475703[/C][/ROW]
[ROW][C]136[/C][C]2012[/C][C]2011.62[/C][C]0.382343[/C][/ROW]
[ROW][C]137[/C][C]2012[/C][C]2011.96[/C][C]0.0397873[/C][/ROW]
[ROW][C]138[/C][C]2012[/C][C]2011.18[/C][C]0.816814[/C][/ROW]
[ROW][C]139[/C][C]2012[/C][C]2011.93[/C][C]0.0749091[/C][/ROW]
[ROW][C]140[/C][C]2012[/C][C]2011.83[/C][C]0.169568[/C][/ROW]
[ROW][C]141[/C][C]2012[/C][C]2011.58[/C][C]0.415472[/C][/ROW]
[ROW][C]142[/C][C]2012[/C][C]2011.97[/C][C]0.033814[/C][/ROW]
[ROW][C]143[/C][C]2012[/C][C]2011.88[/C][C]0.124991[/C][/ROW]
[ROW][C]144[/C][C]2012[/C][C]2011.96[/C][C]0.0385213[/C][/ROW]
[ROW][C]145[/C][C]2012[/C][C]2011.81[/C][C]0.194705[/C][/ROW]
[ROW][C]146[/C][C]2012[/C][C]2011.86[/C][C]0.137441[/C][/ROW]
[ROW][C]147[/C][C]2012[/C][C]2011.72[/C][C]0.279046[/C][/ROW]
[ROW][C]148[/C][C]2012[/C][C]2011.66[/C][C]0.341339[/C][/ROW]
[ROW][C]149[/C][C]2012[/C][C]2011.76[/C][C]0.238221[/C][/ROW]
[ROW][C]150[/C][C]2012[/C][C]2012.01[/C][C]-0.0115039[/C][/ROW]
[ROW][C]151[/C][C]2012[/C][C]2011.24[/C][C]0.761668[/C][/ROW]
[ROW][C]152[/C][C]2012[/C][C]2011.8[/C][C]0.196207[/C][/ROW]
[ROW][C]153[/C][C]2012[/C][C]2012.02[/C][C]-0.0151342[/C][/ROW]
[ROW][C]154[/C][C]2012[/C][C]2011.82[/C][C]0.180394[/C][/ROW]
[ROW][C]155[/C][C]2012[/C][C]2011.77[/C][C]0.234771[/C][/ROW]
[ROW][C]156[/C][C]2012[/C][C]2011.72[/C][C]0.275371[/C][/ROW]
[ROW][C]157[/C][C]2012[/C][C]2012.05[/C][C]-0.0497503[/C][/ROW]
[ROW][C]158[/C][C]2012[/C][C]2011.74[/C][C]0.257236[/C][/ROW]
[ROW][C]159[/C][C]2012[/C][C]2011.77[/C][C]0.234346[/C][/ROW]
[ROW][C]160[/C][C]2012[/C][C]2011.52[/C][C]0.478139[/C][/ROW]
[ROW][C]161[/C][C]2012[/C][C]2012.04[/C][C]-0.040243[/C][/ROW]
[ROW][C]162[/C][C]2012[/C][C]2011.94[/C][C]0.0551435[/C][/ROW]
[ROW][C]163[/C][C]2012[/C][C]2011.86[/C][C]0.135804[/C][/ROW]
[ROW][C]164[/C][C]2012[/C][C]2011.83[/C][C]0.167753[/C][/ROW]
[ROW][C]165[/C][C]2012[/C][C]2012.16[/C][C]-0.159322[/C][/ROW]
[ROW][C]166[/C][C]2012[/C][C]2011.51[/C][C]0.493413[/C][/ROW]
[ROW][C]167[/C][C]2012[/C][C]2012.02[/C][C]-0.0164965[/C][/ROW]
[ROW][C]168[/C][C]2012[/C][C]2011.81[/C][C]0.194899[/C][/ROW]
[ROW][C]169[/C][C]2012[/C][C]2011.72[/C][C]0.280224[/C][/ROW]
[ROW][C]170[/C][C]2012[/C][C]2011.49[/C][C]0.509674[/C][/ROW]
[ROW][C]171[/C][C]2012[/C][C]2011.91[/C][C]0.0930225[/C][/ROW]
[ROW][C]172[/C][C]2012[/C][C]2011.98[/C][C]0.0199454[/C][/ROW]
[ROW][C]173[/C][C]2012[/C][C]2011.77[/C][C]0.225695[/C][/ROW]
[ROW][C]174[/C][C]2012[/C][C]2011.78[/C][C]0.2243[/C][/ROW]
[ROW][C]175[/C][C]2012[/C][C]2011.78[/C][C]0.2243[/C][/ROW]
[ROW][C]176[/C][C]2012[/C][C]2012.04[/C][C]-0.035471[/C][/ROW]
[ROW][C]177[/C][C]2012[/C][C]2011.6[/C][C]0.39885[/C][/ROW]
[ROW][C]178[/C][C]2012[/C][C]2012.01[/C][C]-0.00538505[/C][/ROW]
[ROW][C]179[/C][C]2012[/C][C]2011.83[/C][C]0.174055[/C][/ROW]
[ROW][C]180[/C][C]2012[/C][C]2011.1[/C][C]0.902307[/C][/ROW]
[ROW][C]181[/C][C]2012[/C][C]2011.59[/C][C]0.409994[/C][/ROW]
[ROW][C]182[/C][C]2012[/C][C]2011.65[/C][C]0.346375[/C][/ROW]
[ROW][C]183[/C][C]2012[/C][C]2012.09[/C][C]-0.0878183[/C][/ROW]
[ROW][C]184[/C][C]2012[/C][C]2011.77[/C][C]0.232003[/C][/ROW]
[ROW][C]185[/C][C]2012[/C][C]2011.65[/C][C]0.354578[/C][/ROW]
[ROW][C]186[/C][C]2012[/C][C]2011.82[/C][C]0.181251[/C][/ROW]
[ROW][C]187[/C][C]2012[/C][C]2011.92[/C][C]0.0770315[/C][/ROW]
[ROW][C]188[/C][C]2012[/C][C]2011.57[/C][C]0.427208[/C][/ROW]
[ROW][C]189[/C][C]2012[/C][C]2011.51[/C][C]0.486836[/C][/ROW]
[ROW][C]190[/C][C]2012[/C][C]2011.63[/C][C]0.374145[/C][/ROW]
[ROW][C]191[/C][C]2012[/C][C]2011.44[/C][C]0.561739[/C][/ROW]
[ROW][C]192[/C][C]2012[/C][C]2011.97[/C][C]0.0306933[/C][/ROW]
[ROW][C]193[/C][C]2012[/C][C]2011.41[/C][C]0.585853[/C][/ROW]
[ROW][C]194[/C][C]2012[/C][C]2012.08[/C][C]-0.0815632[/C][/ROW]
[ROW][C]195[/C][C]2012[/C][C]2011.73[/C][C]0.270612[/C][/ROW]
[ROW][C]196[/C][C]2012[/C][C]2011.79[/C][C]0.208482[/C][/ROW]
[ROW][C]197[/C][C]2012[/C][C]2011.65[/C][C]0.348222[/C][/ROW]
[ROW][C]198[/C][C]2012[/C][C]2011.78[/C][C]0.216069[/C][/ROW]
[ROW][C]199[/C][C]2012[/C][C]2011.78[/C][C]0.217322[/C][/ROW]
[ROW][C]200[/C][C]2012[/C][C]2011.9[/C][C]0.0993198[/C][/ROW]
[ROW][C]201[/C][C]2012[/C][C]2012.07[/C][C]-0.0729478[/C][/ROW]
[ROW][C]202[/C][C]2012[/C][C]2011.73[/C][C]0.267023[/C][/ROW]
[ROW][C]203[/C][C]2012[/C][C]2011.59[/C][C]0.405686[/C][/ROW]
[ROW][C]204[/C][C]2012[/C][C]2011.77[/C][C]0.22603[/C][/ROW]
[ROW][C]205[/C][C]2012[/C][C]2011.58[/C][C]0.423314[/C][/ROW]
[ROW][C]206[/C][C]2012[/C][C]2011.71[/C][C]0.288012[/C][/ROW]
[ROW][C]207[/C][C]2012[/C][C]2011.31[/C][C]0.694294[/C][/ROW]
[ROW][C]208[/C][C]2012[/C][C]2011.63[/C][C]0.373606[/C][/ROW]
[ROW][C]209[/C][C]2012[/C][C]2012.28[/C][C]-0.280385[/C][/ROW]
[ROW][C]210[/C][C]2012[/C][C]2012[/C][C]-0.00140401[/C][/ROW]
[ROW][C]211[/C][C]2012[/C][C]2011.48[/C][C]0.516432[/C][/ROW]
[ROW][C]212[/C][C]2012[/C][C]2011.74[/C][C]0.262368[/C][/ROW]
[ROW][C]213[/C][C]2012[/C][C]2011.45[/C][C]0.551054[/C][/ROW]
[ROW][C]214[/C][C]2012[/C][C]2011.59[/C][C]0.406553[/C][/ROW]
[ROW][C]215[/C][C]2012[/C][C]2011.78[/C][C]0.216636[/C][/ROW]
[ROW][C]216[/C][C]2012[/C][C]2011.59[/C][C]0.406817[/C][/ROW]
[ROW][C]217[/C][C]2012[/C][C]2011.94[/C][C]0.0593123[/C][/ROW]
[ROW][C]218[/C][C]2012[/C][C]2011.98[/C][C]0.0223953[/C][/ROW]
[ROW][C]219[/C][C]2012[/C][C]2011.48[/C][C]0.520601[/C][/ROW]
[ROW][C]220[/C][C]2012[/C][C]2011.78[/C][C]0.215139[/C][/ROW]
[ROW][C]221[/C][C]2012[/C][C]2011.94[/C][C]0.0578633[/C][/ROW]
[ROW][C]222[/C][C]2012[/C][C]2011.23[/C][C]0.772141[/C][/ROW]
[ROW][C]223[/C][C]2012[/C][C]2011.53[/C][C]0.471335[/C][/ROW]
[ROW][C]224[/C][C]2012[/C][C]2011.89[/C][C]0.11048[/C][/ROW]
[ROW][C]225[/C][C]2012[/C][C]2012.09[/C][C]-0.0932998[/C][/ROW]
[ROW][C]226[/C][C]2012[/C][C]2011.77[/C][C]0.234357[/C][/ROW]
[ROW][C]227[/C][C]2012[/C][C]2011.88[/C][C]0.115688[/C][/ROW]
[ROW][C]228[/C][C]2012[/C][C]2011.87[/C][C]0.129464[/C][/ROW]
[ROW][C]229[/C][C]2012[/C][C]2012[/C][C]-0.00207879[/C][/ROW]
[ROW][C]230[/C][C]2012[/C][C]2012.03[/C][C]-0.026778[/C][/ROW]
[ROW][C]231[/C][C]2012[/C][C]2012.05[/C][C]-0.0512282[/C][/ROW]
[ROW][C]232[/C][C]2012[/C][C]2012[/C][C]-0.00356991[/C][/ROW]
[ROW][C]233[/C][C]2012[/C][C]2011.66[/C][C]0.336087[/C][/ROW]
[ROW][C]234[/C][C]2012[/C][C]2011.56[/C][C]0.440538[/C][/ROW]
[ROW][C]235[/C][C]2012[/C][C]2011.37[/C][C]0.628145[/C][/ROW]
[ROW][C]236[/C][C]2012[/C][C]2010.84[/C][C]1.15684[/C][/ROW]
[ROW][C]237[/C][C]2012[/C][C]2011.49[/C][C]0.513664[/C][/ROW]
[ROW][C]238[/C][C]2012[/C][C]2011.67[/C][C]0.330513[/C][/ROW]
[ROW][C]239[/C][C]2012[/C][C]2011.58[/C][C]0.420973[/C][/ROW]
[ROW][C]240[/C][C]2012[/C][C]2011.63[/C][C]0.374334[/C][/ROW]
[ROW][C]241[/C][C]2012[/C][C]2011.53[/C][C]0.470393[/C][/ROW]
[ROW][C]242[/C][C]2012[/C][C]2011.47[/C][C]0.531067[/C][/ROW]
[ROW][C]243[/C][C]2012[/C][C]2011.84[/C][C]0.162265[/C][/ROW]
[ROW][C]244[/C][C]2012[/C][C]2012.16[/C][C]-0.159322[/C][/ROW]
[ROW][C]245[/C][C]2012[/C][C]2011.53[/C][C]0.465308[/C][/ROW]
[ROW][C]246[/C][C]2012[/C][C]2011.81[/C][C]0.185463[/C][/ROW]
[ROW][C]247[/C][C]2012[/C][C]2011.93[/C][C]0.0703696[/C][/ROW]
[ROW][C]248[/C][C]2012[/C][C]2011.66[/C][C]0.336857[/C][/ROW]
[ROW][C]249[/C][C]2012[/C][C]2011.76[/C][C]0.241111[/C][/ROW]
[ROW][C]250[/C][C]2012[/C][C]2011.62[/C][C]0.375104[/C][/ROW]
[ROW][C]251[/C][C]2012[/C][C]2011.46[/C][C]0.542214[/C][/ROW]
[ROW][C]252[/C][C]2012[/C][C]2011.39[/C][C]0.614495[/C][/ROW]
[ROW][C]253[/C][C]2012[/C][C]2011.83[/C][C]0.172957[/C][/ROW]
[ROW][C]254[/C][C]2012[/C][C]2011.78[/C][C]0.220225[/C][/ROW]
[ROW][C]255[/C][C]2012[/C][C]2011.6[/C][C]0.404096[/C][/ROW]
[ROW][C]256[/C][C]2012[/C][C]2011.91[/C][C]0.0949726[/C][/ROW]
[ROW][C]257[/C][C]2012[/C][C]2011.28[/C][C]0.724499[/C][/ROW]
[ROW][C]258[/C][C]2012[/C][C]2011.03[/C][C]0.965209[/C][/ROW]
[ROW][C]259[/C][C]2012[/C][C]2011.59[/C][C]0.405455[/C][/ROW]
[ROW][C]260[/C][C]2012[/C][C]2011.3[/C][C]0.704383[/C][/ROW]
[ROW][C]261[/C][C]2012[/C][C]2011.51[/C][C]0.493413[/C][/ROW]
[ROW][C]262[/C][C]2012[/C][C]2011.51[/C][C]0.493908[/C][/ROW]
[ROW][C]263[/C][C]2012[/C][C]2011.44[/C][C]0.556672[/C][/ROW]
[ROW][C]264[/C][C]2012[/C][C]2011.84[/C][C]0.162265[/C][/ROW]
[ROW][C]265[/C][C]2012[/C][C]2011.95[/C][C]0.0458534[/C][/ROW]
[ROW][C]266[/C][C]2012[/C][C]2011.66[/C][C]0.340267[/C][/ROW]
[ROW][C]267[/C][C]2012[/C][C]2011.66[/C][C]0.340391[/C][/ROW]
[ROW][C]268[/C][C]2012[/C][C]2011.9[/C][C]0.0991546[/C][/ROW]
[ROW][C]269[/C][C]2012[/C][C]2011.96[/C][C]0.0435464[/C][/ROW]
[ROW][C]270[/C][C]2012[/C][C]2011.49[/C][C]0.513529[/C][/ROW]
[ROW][C]271[/C][C]2012[/C][C]2011.8[/C][C]0.201734[/C][/ROW]
[ROW][C]272[/C][C]2012[/C][C]2011.59[/C][C]0.411125[/C][/ROW]
[ROW][C]273[/C][C]2012[/C][C]2011.91[/C][C]0.0852006[/C][/ROW]
[ROW][C]274[/C][C]2012[/C][C]2011.98[/C][C]0.0199348[/C][/ROW]
[ROW][C]275[/C][C]2012[/C][C]2011.84[/C][C]0.162814[/C][/ROW]
[ROW][C]276[/C][C]2012[/C][C]2011.61[/C][C]0.38992[/C][/ROW]
[ROW][C]277[/C][C]2012[/C][C]2011.89[/C][C]0.113463[/C][/ROW]
[ROW][C]278[/C][C]2012[/C][C]2011.23[/C][C]0.771265[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264048&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264048&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 Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	2011	2011.47	-0.468342
2	2011	2011.51	-0.508899
3	2011	2011.48	-0.481936
4	2011	2011.11	-0.108697
5	2011	2011.05	-0.0539648
6	2011	2011.56	-0.562365
7	2011	2011.65	-0.648686
8	2011	2011.58	-0.57505
9	2011	2011.42	-0.420816
10	2011	2011.2	-0.200959
11	2011	2011.42	-0.420267
12	2011	2011.04	-0.0436231
13	2011	2011.37	-0.373683
14	2011	2011.42	-0.415236
15	2011	2010.94	0.0581883
16	2011	2011.44	-0.435034
17	2011	2011.48	-0.482071
18	2011	2011.24	-0.243061
19	2011	2011.35	-0.348353
20	2011	2011.27	-0.268601
21	2011	2011.05	-0.0454383
22	2011	2011.64	-0.644114
23	2011	2011.34	-0.342562
24	2011	2011.64	-0.636854
25	2011	2011.47	-0.470841
26	2011	2011.52	-0.515957
27	2011	2011.9	-0.899368
28	2011	2011.61	-0.611937
29	2011	2011.32	-0.31532
30	2011	2011.42	-0.417411
31	2011	2011.18	-0.177987
32	2011	2011.39	-0.390223
33	2011	2011.25	-0.245728
34	2011	2011.27	-0.271268
35	2011	2011.42	-0.417735
36	2011	2011.37	-0.370602
37	2011	2011.4	-0.400912
38	2011	2011.65	-0.648864
39	2011	2011.27	-0.26711
40	2011	2011.4	-0.404006
41	2011	2011.01	-0.00919603
42	2011	2011.44	-0.440383
43	2011	2011.58	-0.577414
44	2011	2011.37	-0.366612
45	2011	2011.64	-0.641075
46	2011	2011.33	-0.334942
47	2011	2011.47	-0.470103
48	2011	2011.23	-0.226731
49	2011	2011.48	-0.475414
50	2011	2011.62	-0.624589
51	2011	2011.54	-0.537034
52	2011	2011.15	-0.150427
53	2011	2011.42	-0.418812
54	2011	2011.56	-0.556791
55	2011	2011.62	-0.622543
56	2011	2011.31	-0.311879
57	2011	2010.99	0.00630581
58	2011	2011.73	-0.729665
59	2011	2011.28	-0.278972
60	2011	2011.66	-0.664102
61	2011	2011.25	-0.248809
62	2011	2011.49	-0.48793
63	2011	2011.09	-0.0940624
64	2011	2011.79	-0.788195
65	2011	2011.18	-0.181785
66	2011	2011.32	-0.324966
67	2011	2011.36	-0.360314
68	2011	2011.54	-0.544592
69	2011	2011.77	-0.770086
70	2011	2011.56	-0.561195
71	2011	2011.45	-0.447509
72	2011	2011.37	-0.365211
73	2011	2011.23	-0.232041
74	2011	2011.79	-0.788975
75	2011	2011.49	-0.487192
76	2011	2011.47	-0.474864
77	2011	2011.6	-0.600294
78	2011	2011.52	-0.515286
79	2011	2011.42	-0.415454
80	2011	2011.16	-0.162902
81	2011	2011.37	-0.373779
82	2011	2011.66	-0.657615
83	2011	2011.43	-0.429061
84	2011	2010.95	0.0478585
85	2011	2011.47	-0.47255
86	2011	2011.56	-0.559155
87	2011	2011.5	-0.500054
88	2011	2011.45	-0.445187
89	2011	2011.22	-0.215366
90	2011	2011.67	-0.670132
91	2011	2011.67	-0.671533
92	2011	2011.08	-0.0842759
93	2011	2011.42	-0.422673
94	2011	2011.25	-0.253973
95	2011	2011.24	-0.237433
96	2011	2011.25	-0.248716
97	2011	2011.16	-0.162035
98	2011	2011.52	-0.522175
99	2011	2011.71	-0.707415
100	2011	2011.25	-0.252293
101	2011	2011.44	-0.436435
102	2011	2011.38	-0.375405
103	2011	2011.31	-0.305759
104	2011	2011.39	-0.39403
105	2011	2011.76	-0.755625
106	2011	2011.25	-0.249076
107	2011	2011.76	-0.764913
108	2011	2011	-0.00220755
109	2011	2011.03	-0.0264952
110	2011	2011.34	-0.344419
111	2011	2011.46	-0.461862
112	2011	2011.54	-0.54284
113	2012	2010.88	1.12004
114	2012	2011.57	0.429297
115	2012	2012.02	-0.0227442
116	2012	2011.95	0.0474079
117	2012	2011.91	0.0866244
118	2012	2011.67	0.332097
119	2012	2011.92	0.0771171
120	2012	2012.01	-0.00538505
121	2012	2011.81	0.189684
122	2012	2011.55	0.448461
123	2012	2011.99	0.00548454
124	2012	2011.72	0.282663
125	2012	2011.42	0.580639
126	2012	2011.59	0.413888
127	2012	2011.82	0.183162
128	2012	2011.67	0.330513
129	2012	2012.13	-0.125558
130	2012	2011.67	0.330873
131	2012	2011.7	0.301153
132	2012	2011.74	0.262503
133	2012	2011.77	0.232816
134	2012	2011.82	0.180811
135	2012	2011.52	0.475703
136	2012	2011.62	0.382343
137	2012	2011.96	0.0397873
138	2012	2011.18	0.816814
139	2012	2011.93	0.0749091
140	2012	2011.83	0.169568
141	2012	2011.58	0.415472
142	2012	2011.97	0.033814
143	2012	2011.88	0.124991
144	2012	2011.96	0.0385213
145	2012	2011.81	0.194705
146	2012	2011.86	0.137441
147	2012	2011.72	0.279046
148	2012	2011.66	0.341339
149	2012	2011.76	0.238221
150	2012	2012.01	-0.0115039
151	2012	2011.24	0.761668
152	2012	2011.8	0.196207
153	2012	2012.02	-0.0151342
154	2012	2011.82	0.180394
155	2012	2011.77	0.234771
156	2012	2011.72	0.275371
157	2012	2012.05	-0.0497503
158	2012	2011.74	0.257236
159	2012	2011.77	0.234346
160	2012	2011.52	0.478139
161	2012	2012.04	-0.040243
162	2012	2011.94	0.0551435
163	2012	2011.86	0.135804
164	2012	2011.83	0.167753
165	2012	2012.16	-0.159322
166	2012	2011.51	0.493413
167	2012	2012.02	-0.0164965
168	2012	2011.81	0.194899
169	2012	2011.72	0.280224
170	2012	2011.49	0.509674
171	2012	2011.91	0.0930225
172	2012	2011.98	0.0199454
173	2012	2011.77	0.225695
174	2012	2011.78	0.2243
175	2012	2011.78	0.2243
176	2012	2012.04	-0.035471
177	2012	2011.6	0.39885
178	2012	2012.01	-0.00538505
179	2012	2011.83	0.174055
180	2012	2011.1	0.902307
181	2012	2011.59	0.409994
182	2012	2011.65	0.346375
183	2012	2012.09	-0.0878183
184	2012	2011.77	0.232003
185	2012	2011.65	0.354578
186	2012	2011.82	0.181251
187	2012	2011.92	0.0770315
188	2012	2011.57	0.427208
189	2012	2011.51	0.486836
190	2012	2011.63	0.374145
191	2012	2011.44	0.561739
192	2012	2011.97	0.0306933
193	2012	2011.41	0.585853
194	2012	2012.08	-0.0815632
195	2012	2011.73	0.270612
196	2012	2011.79	0.208482
197	2012	2011.65	0.348222
198	2012	2011.78	0.216069
199	2012	2011.78	0.217322
200	2012	2011.9	0.0993198
201	2012	2012.07	-0.0729478
202	2012	2011.73	0.267023
203	2012	2011.59	0.405686
204	2012	2011.77	0.22603
205	2012	2011.58	0.423314
206	2012	2011.71	0.288012
207	2012	2011.31	0.694294
208	2012	2011.63	0.373606
209	2012	2012.28	-0.280385
210	2012	2012	-0.00140401
211	2012	2011.48	0.516432
212	2012	2011.74	0.262368
213	2012	2011.45	0.551054
214	2012	2011.59	0.406553
215	2012	2011.78	0.216636
216	2012	2011.59	0.406817
217	2012	2011.94	0.0593123
218	2012	2011.98	0.0223953
219	2012	2011.48	0.520601
220	2012	2011.78	0.215139
221	2012	2011.94	0.0578633
222	2012	2011.23	0.772141
223	2012	2011.53	0.471335
224	2012	2011.89	0.11048
225	2012	2012.09	-0.0932998
226	2012	2011.77	0.234357
227	2012	2011.88	0.115688
228	2012	2011.87	0.129464
229	2012	2012	-0.00207879
230	2012	2012.03	-0.026778
231	2012	2012.05	-0.0512282
232	2012	2012	-0.00356991
233	2012	2011.66	0.336087
234	2012	2011.56	0.440538
235	2012	2011.37	0.628145
236	2012	2010.84	1.15684
237	2012	2011.49	0.513664
238	2012	2011.67	0.330513
239	2012	2011.58	0.420973
240	2012	2011.63	0.374334
241	2012	2011.53	0.470393
242	2012	2011.47	0.531067
243	2012	2011.84	0.162265
244	2012	2012.16	-0.159322
245	2012	2011.53	0.465308
246	2012	2011.81	0.185463
247	2012	2011.93	0.0703696
248	2012	2011.66	0.336857
249	2012	2011.76	0.241111
250	2012	2011.62	0.375104
251	2012	2011.46	0.542214
252	2012	2011.39	0.614495
253	2012	2011.83	0.172957
254	2012	2011.78	0.220225
255	2012	2011.6	0.404096
256	2012	2011.91	0.0949726
257	2012	2011.28	0.724499
258	2012	2011.03	0.965209
259	2012	2011.59	0.405455
260	2012	2011.3	0.704383
261	2012	2011.51	0.493413
262	2012	2011.51	0.493908
263	2012	2011.44	0.556672
264	2012	2011.84	0.162265
265	2012	2011.95	0.0458534
266	2012	2011.66	0.340267
267	2012	2011.66	0.340391
268	2012	2011.9	0.0991546
269	2012	2011.96	0.0435464
270	2012	2011.49	0.513529
271	2012	2011.8	0.201734
272	2012	2011.59	0.411125
273	2012	2011.91	0.0852006
274	2012	2011.98	0.0199348
275	2012	2011.84	0.162814
276	2012	2011.61	0.38992
277	2012	2011.89	0.113463
278	2012	2011.23	0.771265

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
9	1.18042e-35	2.36085e-35	1
10	3.3156e-49	6.6312e-49	1
11	2.70927e-58	5.41855e-58	1
12	1.86784e-73	3.73567e-73	1
13	1.30969e-85	2.61939e-85	1
14	1.54351e-97	3.08701e-97	1
15	1.75319e-102	3.50638e-102	1
16	0	0	1
17	0	0	1
18	8.61007e-146	1.72201e-145	1
19	6.75091e-158	1.35018e-157	1
20	8.67889e-166	1.73578e-165	1
21	6.65168e-175	1.33034e-174	1
22	1.68337e-186	3.36675e-186	1
23	3.23446e-206	6.46891e-206	1
24	1.9087e-207	3.81739e-207	1
25	6.36794e-219	1.27359e-218	1
26	2.82893e-226	5.65786e-226	1
27	8.43590999999999e-244	1.68718e-243	1
28	1.02341e-248	2.04682e-248	1
29	4.87136e-264	9.74272e-264	1
30	1.25314e-269	2.50628e-269	1
31	0	0	1
32	6.63615000007258e-314	1.32723000001452e-313	1
33	4.45762e-307	8.91524e-307	1
34	4.01181304423092e-321	8.02362608846184e-321	1
35	0	0	1
36	0	0	1
37	0	0	1
38	0	0	1
39	0	0	1
40	0	0	1
41	0	0	1
42	0	0	1
43	0	0	1
44	0	0	1
45	0	0	1
46	0	0	1
47	0	0	1
48	0	0	1
49	0	0	1
50	0	0	1
51	0	0	1
52	0	0	1
53	0	0	1
54	0	0	1
55	0	0	1
56	0	0	1
57	0	0	1
58	0	0	1
59	0	0	1
60	0	0	1
61	0	0	1
62	0	0	1
63	0	0	1
64	0	0	1
65	0	0	1
66	0	0	1
67	0	0	1
68	0	0	1
69	0	0	1
70	0	0	1
71	0	0	1
72	0	0	1
73	0	0	1
74	0	0	1
75	0	0	1
76	0	0	1
77	0	0	1
78	0	0	1
79	0	0	1
80	0	0	1
81	0	0	1
82	0	0	1
83	0	0	1
84	0	0	1
85	0	0	1
86	0	0	1
87	0	0	1
88	0	0	1
89	0	0	1
90	0	0	1
91	0	0	1
92	0	0	1
93	0	0	1
94	0	0	1
95	0	0	1
96	0	0	1
97	0	0	1
98	0	0	1
99	0	0	1
100	0	0	1
101	0	0	1
102	0	0	1
103	0	0	1
104	0	0	1
105	0	0	1
106	0	0	1
107	0	0	1
108	0	0	1
109	0	0	1
110	0	0	1
111	0	0	1
112	1	7.01973e-78	3.50986e-78
113	1	0	0
114	1	0	0
115	1	0	0
116	1	0	0
117	1	0	0
118	1	0	0
119	1	0	0
120	1	0	0
121	1	0	0
122	1	0	0
123	1	0	0
124	1	0	0
125	1	0	0
126	1	0	0
127	1	0	0
128	1	0	0
129	1	0	0
130	1	0	0
131	1	0	0
132	1	0	0
133	1	0	0
134	1	0	0
135	1	0	0
136	1	0	0
137	1	0	0
138	1	0	0
139	1	0	0
140	1	0	0
141	1	0	0
142	1	0	0
143	1	0	0
144	1	0	0
145	1	0	0
146	1	0	0
147	1	0	0
148	1	0	0
149	1	0	0
150	1	0	0
151	1	0	0
152	1	0	0
153	1	0	0
154	1	0	0
155	1	0	0
156	1	0	0
157	1	0	0
158	1	0	0
159	1	0	0
160	1	0	0
161	1	0	0
162	1	0	0
163	1	0	0
164	1	0	0
165	1	0	0
166	1	0	0
167	1	0	0
168	1	0	0
169	1	0	0
170	1	0	0
171	1	0	0
172	1	0	0
173	1	0	0
174	1	0	0
175	1	0	0
176	1	0	0
177	1	0	0
178	1	0	0
179	1	0	0
180	1	0	0
181	1	0	0
182	1	0	0
183	1	0	0
184	1	0	0
185	1	0	0
186	1	0	0
187	1	0	0
188	1	0	0
189	1	0	0
190	1	0	0
191	1	0	0
192	1	0	0
193	1	0	0
194	1	0	0
195	1	0	0
196	1	0	0
197	1	0	0
198	1	0	0
199	1	0	0
200	1	0	0
201	1	0	0
202	1	0	0
203	1	0	0
204	1	0	0
205	1	0	0
206	1	0	0
207	1	0	0
208	1	0	0
209	1	0	0
210	1	0	0
211	1	0	0
212	1	0	0
213	1	0	0
214	1	0	0
215	1	0	0
216	1	0	0
217	1	0	0
218	1	0	0
219	1	0	0
220	1	0	0
221	1	0	0
222	1	0	0
223	1	0	0
224	1	0	0
225	1	0	0
226	1	0	0
227	1	0	0
228	1	0	0
229	1	0	0
230	1	0	0
231	1	0	0
232	1	0	0
233	1	0	0
234	1	0	0
235	1	0	0
236	1	0	0
237	1	0	0
238	1	0	0
239	1	0	0
240	1	0	0
241	1	0	0
242	1	0	0
243	1	0	0
244	1	0	0
245	1	1.15767e-299	5.78834e-300
246	1	3.69585999995871e-314	1.84793000022639e-314
247	1	6.01898e-290	3.00949e-290
248	1	1.27122e-282	6.3561e-283
249	1	1.6133e-264	8.06648e-265
250	1	8.51034e-251	4.25517e-251
251	1	6.67719e-240	3.33859e-240
252	1	0	0
253	1	2.67447e-220	1.33723e-220
254	1	5.52501e-205	2.7625e-205
255	1	2.68076e-205	1.34038e-205
256	1	2.75102e-181	1.37551e-181
257	1	8.00595e-172	4.00297e-172
258	1	5.73531e-165	2.86766e-165
259	1	0	0
260	1	2.11596e-141	1.05798e-141
261	1	2.45064e-124	1.22532e-124
262	1	0	0
263	1	1.14806e-103	5.74031e-104
264	1	8.34412e-97	4.17206e-97
265	1	4.05712e-86	2.02856e-86
266	1	2.266e-71	1.133e-71
267	1	5.42058e-61	2.71029e-61
268	1	3.63192e-48	1.81596e-48
269	1	1.5085e-36	7.54251e-37

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
9 & 1.18042e-35 & 2.36085e-35 & 1 \tabularnewline
10 & 3.3156e-49 & 6.6312e-49 & 1 \tabularnewline
11 & 2.70927e-58 & 5.41855e-58 & 1 \tabularnewline
12 & 1.86784e-73 & 3.73567e-73 & 1 \tabularnewline
13 & 1.30969e-85 & 2.61939e-85 & 1 \tabularnewline
14 & 1.54351e-97 & 3.08701e-97 & 1 \tabularnewline
15 & 1.75319e-102 & 3.50638e-102 & 1 \tabularnewline
16 & 0 & 0 & 1 \tabularnewline
17 & 0 & 0 & 1 \tabularnewline
18 & 8.61007e-146 & 1.72201e-145 & 1 \tabularnewline
19 & 6.75091e-158 & 1.35018e-157 & 1 \tabularnewline
20 & 8.67889e-166 & 1.73578e-165 & 1 \tabularnewline
21 & 6.65168e-175 & 1.33034e-174 & 1 \tabularnewline
22 & 1.68337e-186 & 3.36675e-186 & 1 \tabularnewline
23 & 3.23446e-206 & 6.46891e-206 & 1 \tabularnewline
24 & 1.9087e-207 & 3.81739e-207 & 1 \tabularnewline
25 & 6.36794e-219 & 1.27359e-218 & 1 \tabularnewline
26 & 2.82893e-226 & 5.65786e-226 & 1 \tabularnewline
27 & 8.43590999999999e-244 & 1.68718e-243 & 1 \tabularnewline
28 & 1.02341e-248 & 2.04682e-248 & 1 \tabularnewline
29 & 4.87136e-264 & 9.74272e-264 & 1 \tabularnewline
30 & 1.25314e-269 & 2.50628e-269 & 1 \tabularnewline
31 & 0 & 0 & 1 \tabularnewline
32 & 6.63615000007258e-314 & 1.32723000001452e-313 & 1 \tabularnewline
33 & 4.45762e-307 & 8.91524e-307 & 1 \tabularnewline
34 & 4.01181304423092e-321 & 8.02362608846184e-321 & 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 & 1 & 7.01973e-78 & 3.50986e-78 \tabularnewline
113 & 1 & 0 & 0 \tabularnewline
114 & 1 & 0 & 0 \tabularnewline
115 & 1 & 0 & 0 \tabularnewline
116 & 1 & 0 & 0 \tabularnewline
117 & 1 & 0 & 0 \tabularnewline
118 & 1 & 0 & 0 \tabularnewline
119 & 1 & 0 & 0 \tabularnewline
120 & 1 & 0 & 0 \tabularnewline
121 & 1 & 0 & 0 \tabularnewline
122 & 1 & 0 & 0 \tabularnewline
123 & 1 & 0 & 0 \tabularnewline
124 & 1 & 0 & 0 \tabularnewline
125 & 1 & 0 & 0 \tabularnewline
126 & 1 & 0 & 0 \tabularnewline
127 & 1 & 0 & 0 \tabularnewline
128 & 1 & 0 & 0 \tabularnewline
129 & 1 & 0 & 0 \tabularnewline
130 & 1 & 0 & 0 \tabularnewline
131 & 1 & 0 & 0 \tabularnewline
132 & 1 & 0 & 0 \tabularnewline
133 & 1 & 0 & 0 \tabularnewline
134 & 1 & 0 & 0 \tabularnewline
135 & 1 & 0 & 0 \tabularnewline
136 & 1 & 0 & 0 \tabularnewline
137 & 1 & 0 & 0 \tabularnewline
138 & 1 & 0 & 0 \tabularnewline
139 & 1 & 0 & 0 \tabularnewline
140 & 1 & 0 & 0 \tabularnewline
141 & 1 & 0 & 0 \tabularnewline
142 & 1 & 0 & 0 \tabularnewline
143 & 1 & 0 & 0 \tabularnewline
144 & 1 & 0 & 0 \tabularnewline
145 & 1 & 0 & 0 \tabularnewline
146 & 1 & 0 & 0 \tabularnewline
147 & 1 & 0 & 0 \tabularnewline
148 & 1 & 0 & 0 \tabularnewline
149 & 1 & 0 & 0 \tabularnewline
150 & 1 & 0 & 0 \tabularnewline
151 & 1 & 0 & 0 \tabularnewline
152 & 1 & 0 & 0 \tabularnewline
153 & 1 & 0 & 0 \tabularnewline
154 & 1 & 0 & 0 \tabularnewline
155 & 1 & 0 & 0 \tabularnewline
156 & 1 & 0 & 0 \tabularnewline
157 & 1 & 0 & 0 \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 & 1.15767e-299 & 5.78834e-300 \tabularnewline
246 & 1 & 3.69585999995871e-314 & 1.84793000022639e-314 \tabularnewline
247 & 1 & 6.01898e-290 & 3.00949e-290 \tabularnewline
248 & 1 & 1.27122e-282 & 6.3561e-283 \tabularnewline
249 & 1 & 1.6133e-264 & 8.06648e-265 \tabularnewline
250 & 1 & 8.51034e-251 & 4.25517e-251 \tabularnewline
251 & 1 & 6.67719e-240 & 3.33859e-240 \tabularnewline
252 & 1 & 0 & 0 \tabularnewline
253 & 1 & 2.67447e-220 & 1.33723e-220 \tabularnewline
254 & 1 & 5.52501e-205 & 2.7625e-205 \tabularnewline
255 & 1 & 2.68076e-205 & 1.34038e-205 \tabularnewline
256 & 1 & 2.75102e-181 & 1.37551e-181 \tabularnewline
257 & 1 & 8.00595e-172 & 4.00297e-172 \tabularnewline
258 & 1 & 5.73531e-165 & 2.86766e-165 \tabularnewline
259 & 1 & 0 & 0 \tabularnewline
260 & 1 & 2.11596e-141 & 1.05798e-141 \tabularnewline
261 & 1 & 2.45064e-124 & 1.22532e-124 \tabularnewline
262 & 1 & 0 & 0 \tabularnewline
263 & 1 & 1.14806e-103 & 5.74031e-104 \tabularnewline
264 & 1 & 8.34412e-97 & 4.17206e-97 \tabularnewline
265 & 1 & 4.05712e-86 & 2.02856e-86 \tabularnewline
266 & 1 & 2.266e-71 & 1.133e-71 \tabularnewline
267 & 1 & 5.42058e-61 & 2.71029e-61 \tabularnewline
268 & 1 & 3.63192e-48 & 1.81596e-48 \tabularnewline
269 & 1 & 1.5085e-36 & 7.54251e-37 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264048&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]9[/C][C]1.18042e-35[/C][C]2.36085e-35[/C][C]1[/C][/ROW]
[ROW][C]10[/C][C]3.3156e-49[/C][C]6.6312e-49[/C][C]1[/C][/ROW]
[ROW][C]11[/C][C]2.70927e-58[/C][C]5.41855e-58[/C][C]1[/C][/ROW]
[ROW][C]12[/C][C]1.86784e-73[/C][C]3.73567e-73[/C][C]1[/C][/ROW]
[ROW][C]13[/C][C]1.30969e-85[/C][C]2.61939e-85[/C][C]1[/C][/ROW]
[ROW][C]14[/C][C]1.54351e-97[/C][C]3.08701e-97[/C][C]1[/C][/ROW]
[ROW][C]15[/C][C]1.75319e-102[/C][C]3.50638e-102[/C][C]1[/C][/ROW]
[ROW][C]16[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]17[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]18[/C][C]8.61007e-146[/C][C]1.72201e-145[/C][C]1[/C][/ROW]
[ROW][C]19[/C][C]6.75091e-158[/C][C]1.35018e-157[/C][C]1[/C][/ROW]
[ROW][C]20[/C][C]8.67889e-166[/C][C]1.73578e-165[/C][C]1[/C][/ROW]
[ROW][C]21[/C][C]6.65168e-175[/C][C]1.33034e-174[/C][C]1[/C][/ROW]
[ROW][C]22[/C][C]1.68337e-186[/C][C]3.36675e-186[/C][C]1[/C][/ROW]
[ROW][C]23[/C][C]3.23446e-206[/C][C]6.46891e-206[/C][C]1[/C][/ROW]
[ROW][C]24[/C][C]1.9087e-207[/C][C]3.81739e-207[/C][C]1[/C][/ROW]
[ROW][C]25[/C][C]6.36794e-219[/C][C]1.27359e-218[/C][C]1[/C][/ROW]
[ROW][C]26[/C][C]2.82893e-226[/C][C]5.65786e-226[/C][C]1[/C][/ROW]
[ROW][C]27[/C][C]8.43590999999999e-244[/C][C]1.68718e-243[/C][C]1[/C][/ROW]
[ROW][C]28[/C][C]1.02341e-248[/C][C]2.04682e-248[/C][C]1[/C][/ROW]
[ROW][C]29[/C][C]4.87136e-264[/C][C]9.74272e-264[/C][C]1[/C][/ROW]
[ROW][C]30[/C][C]1.25314e-269[/C][C]2.50628e-269[/C][C]1[/C][/ROW]
[ROW][C]31[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]32[/C][C]6.63615000007258e-314[/C][C]1.32723000001452e-313[/C][C]1[/C][/ROW]
[ROW][C]33[/C][C]4.45762e-307[/C][C]8.91524e-307[/C][C]1[/C][/ROW]
[ROW][C]34[/C][C]4.01181304423092e-321[/C][C]8.02362608846184e-321[/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]1[/C][C]7.01973e-78[/C][C]3.50986e-78[/C][/ROW]
[ROW][C]113[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]114[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]115[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]116[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]117[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]118[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]119[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]120[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]121[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]122[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]123[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]124[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]125[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]126[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]127[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]128[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]129[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]130[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]131[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]132[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]133[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]134[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]135[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]136[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]137[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]138[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]139[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]140[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]141[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]142[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]143[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]144[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]145[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]146[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]147[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]148[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]149[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]150[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]151[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]152[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]153[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]154[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]155[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]156[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]157[/C][C]1[/C][C]0[/C][C]0[/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]1.15767e-299[/C][C]5.78834e-300[/C][/ROW]
[ROW][C]246[/C][C]1[/C][C]3.69585999995871e-314[/C][C]1.84793000022639e-314[/C][/ROW]
[ROW][C]247[/C][C]1[/C][C]6.01898e-290[/C][C]3.00949e-290[/C][/ROW]
[ROW][C]248[/C][C]1[/C][C]1.27122e-282[/C][C]6.3561e-283[/C][/ROW]
[ROW][C]249[/C][C]1[/C][C]1.6133e-264[/C][C]8.06648e-265[/C][/ROW]
[ROW][C]250[/C][C]1[/C][C]8.51034e-251[/C][C]4.25517e-251[/C][/ROW]
[ROW][C]251[/C][C]1[/C][C]6.67719e-240[/C][C]3.33859e-240[/C][/ROW]
[ROW][C]252[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]253[/C][C]1[/C][C]2.67447e-220[/C][C]1.33723e-220[/C][/ROW]
[ROW][C]254[/C][C]1[/C][C]5.52501e-205[/C][C]2.7625e-205[/C][/ROW]
[ROW][C]255[/C][C]1[/C][C]2.68076e-205[/C][C]1.34038e-205[/C][/ROW]
[ROW][C]256[/C][C]1[/C][C]2.75102e-181[/C][C]1.37551e-181[/C][/ROW]
[ROW][C]257[/C][C]1[/C][C]8.00595e-172[/C][C]4.00297e-172[/C][/ROW]
[ROW][C]258[/C][C]1[/C][C]5.73531e-165[/C][C]2.86766e-165[/C][/ROW]
[ROW][C]259[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]260[/C][C]1[/C][C]2.11596e-141[/C][C]1.05798e-141[/C][/ROW]
[ROW][C]261[/C][C]1[/C][C]2.45064e-124[/C][C]1.22532e-124[/C][/ROW]
[ROW][C]262[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]263[/C][C]1[/C][C]1.14806e-103[/C][C]5.74031e-104[/C][/ROW]
[ROW][C]264[/C][C]1[/C][C]8.34412e-97[/C][C]4.17206e-97[/C][/ROW]
[ROW][C]265[/C][C]1[/C][C]4.05712e-86[/C][C]2.02856e-86[/C][/ROW]
[ROW][C]266[/C][C]1[/C][C]2.266e-71[/C][C]1.133e-71[/C][/ROW]
[ROW][C]267[/C][C]1[/C][C]5.42058e-61[/C][C]2.71029e-61[/C][/ROW]
[ROW][C]268[/C][C]1[/C][C]3.63192e-48[/C][C]1.81596e-48[/C][/ROW]
[ROW][C]269[/C][C]1[/C][C]1.5085e-36[/C][C]7.54251e-37[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264048&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264048&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-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
9	1.18042e-35	2.36085e-35	1
10	3.3156e-49	6.6312e-49	1
11	2.70927e-58	5.41855e-58	1
12	1.86784e-73	3.73567e-73	1
13	1.30969e-85	2.61939e-85	1
14	1.54351e-97	3.08701e-97	1
15	1.75319e-102	3.50638e-102	1
16	0	0	1
17	0	0	1
18	8.61007e-146	1.72201e-145	1
19	6.75091e-158	1.35018e-157	1
20	8.67889e-166	1.73578e-165	1
21	6.65168e-175	1.33034e-174	1
22	1.68337e-186	3.36675e-186	1
23	3.23446e-206	6.46891e-206	1
24	1.9087e-207	3.81739e-207	1
25	6.36794e-219	1.27359e-218	1
26	2.82893e-226	5.65786e-226	1
27	8.43590999999999e-244	1.68718e-243	1
28	1.02341e-248	2.04682e-248	1
29	4.87136e-264	9.74272e-264	1
30	1.25314e-269	2.50628e-269	1
31	0	0	1
32	6.63615000007258e-314	1.32723000001452e-313	1
33	4.45762e-307	8.91524e-307	1
34	4.01181304423092e-321	8.02362608846184e-321	1
35	0	0	1
36	0	0	1
37	0	0	1
38	0	0	1
39	0	0	1
40	0	0	1
41	0	0	1
42	0	0	1
43	0	0	1
44	0	0	1
45	0	0	1
46	0	0	1
47	0	0	1
48	0	0	1
49	0	0	1
50	0	0	1
51	0	0	1
52	0	0	1
53	0	0	1
54	0	0	1
55	0	0	1
56	0	0	1
57	0	0	1
58	0	0	1
59	0	0	1
60	0	0	1
61	0	0	1
62	0	0	1
63	0	0	1
64	0	0	1
65	0	0	1
66	0	0	1
67	0	0	1
68	0	0	1
69	0	0	1
70	0	0	1
71	0	0	1
72	0	0	1
73	0	0	1
74	0	0	1
75	0	0	1
76	0	0	1
77	0	0	1
78	0	0	1
79	0	0	1
80	0	0	1
81	0	0	1
82	0	0	1
83	0	0	1
84	0	0	1
85	0	0	1
86	0	0	1
87	0	0	1
88	0	0	1
89	0	0	1
90	0	0	1
91	0	0	1
92	0	0	1
93	0	0	1
94	0	0	1
95	0	0	1
96	0	0	1
97	0	0	1
98	0	0	1
99	0	0	1
100	0	0	1
101	0	0	1
102	0	0	1
103	0	0	1
104	0	0	1
105	0	0	1
106	0	0	1
107	0	0	1
108	0	0	1
109	0	0	1
110	0	0	1
111	0	0	1
112	1	7.01973e-78	3.50986e-78
113	1	0	0
114	1	0	0
115	1	0	0
116	1	0	0
117	1	0	0
118	1	0	0
119	1	0	0
120	1	0	0
121	1	0	0
122	1	0	0
123	1	0	0
124	1	0	0
125	1	0	0
126	1	0	0
127	1	0	0
128	1	0	0
129	1	0	0
130	1	0	0
131	1	0	0
132	1	0	0
133	1	0	0
134	1	0	0
135	1	0	0
136	1	0	0
137	1	0	0
138	1	0	0
139	1	0	0
140	1	0	0
141	1	0	0
142	1	0	0
143	1	0	0
144	1	0	0
145	1	0	0
146	1	0	0
147	1	0	0
148	1	0	0
149	1	0	0
150	1	0	0
151	1	0	0
152	1	0	0
153	1	0	0
154	1	0	0
155	1	0	0
156	1	0	0
157	1	0	0
158	1	0	0
159	1	0	0
160	1	0	0
161	1	0	0
162	1	0	0
163	1	0	0
164	1	0	0
165	1	0	0
166	1	0	0
167	1	0	0
168	1	0	0
169	1	0	0
170	1	0	0
171	1	0	0
172	1	0	0
173	1	0	0
174	1	0	0
175	1	0	0
176	1	0	0
177	1	0	0
178	1	0	0
179	1	0	0
180	1	0	0
181	1	0	0
182	1	0	0
183	1	0	0
184	1	0	0
185	1	0	0
186	1	0	0
187	1	0	0
188	1	0	0
189	1	0	0
190	1	0	0
191	1	0	0
192	1	0	0
193	1	0	0
194	1	0	0
195	1	0	0
196	1	0	0
197	1	0	0
198	1	0	0
199	1	0	0
200	1	0	0
201	1	0	0
202	1	0	0
203	1	0	0
204	1	0	0
205	1	0	0
206	1	0	0
207	1	0	0
208	1	0	0
209	1	0	0
210	1	0	0
211	1	0	0
212	1	0	0
213	1	0	0
214	1	0	0
215	1	0	0
216	1	0	0
217	1	0	0
218	1	0	0
219	1	0	0
220	1	0	0
221	1	0	0
222	1	0	0
223	1	0	0
224	1	0	0
225	1	0	0
226	1	0	0
227	1	0	0
228	1	0	0
229	1	0	0
230	1	0	0
231	1	0	0
232	1	0	0
233	1	0	0
234	1	0	0
235	1	0	0
236	1	0	0
237	1	0	0
238	1	0	0
239	1	0	0
240	1	0	0
241	1	0	0
242	1	0	0
243	1	0	0
244	1	0	0
245	1	1.15767e-299	5.78834e-300
246	1	3.69585999995871e-314	1.84793000022639e-314
247	1	6.01898e-290	3.00949e-290
248	1	1.27122e-282	6.3561e-283
249	1	1.6133e-264	8.06648e-265
250	1	8.51034e-251	4.25517e-251
251	1	6.67719e-240	3.33859e-240
252	1	0	0
253	1	2.67447e-220	1.33723e-220
254	1	5.52501e-205	2.7625e-205
255	1	2.68076e-205	1.34038e-205
256	1	2.75102e-181	1.37551e-181
257	1	8.00595e-172	4.00297e-172
258	1	5.73531e-165	2.86766e-165
259	1	0	0
260	1	2.11596e-141	1.05798e-141
261	1	2.45064e-124	1.22532e-124
262	1	0	0
263	1	1.14806e-103	5.74031e-104
264	1	8.34412e-97	4.17206e-97
265	1	4.05712e-86	2.02856e-86
266	1	2.266e-71	1.133e-71
267	1	5.42058e-61	2.71029e-61
268	1	3.63192e-48	1.81596e-48
269	1	1.5085e-36	7.54251e-37

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	261	1	NOK
5% type I error level	261	1	NOK
10% type I error level	261	1	NOK

\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 & 261 & 1 & NOK \tabularnewline
5% type I error level & 261 & 1 & NOK \tabularnewline
10% type I error level & 261 & 1 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264048&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]261[/C][C]1[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]261[/C][C]1[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]261[/C][C]1[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264048&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264048&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 tests	OK/NOK
1% type I error level	261	1	NOK
5% type I error level	261	1	NOK
10% type I error level	261	1	NOK

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Figure 3

PNG link

Postscript link

PDF link

Figure 4

PNG link

Postscript link

PDF link

Figure 5

PNG link

Postscript link

PDF link

Figure 6

PNG link

Postscript link

PDF link

Figure 7

PNG link

Postscript link

PDF link

Figure 8

PNG link

Postscript link

PDF link

Figure 9

PNG link

Postscript link

PDF link

Figure 10

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;

Parameters (R input):

par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;

R code (references can be found in the software module):

library(lattice)
library(lmtest)
n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
par1 <- as.numeric(par1)
x <- t(y)
k <- length(x[1,])
n <- length(x[,1])
x1 <- cbind(x[,par1], x[,1:k!=par1])
mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1])
colnames(x1) <- mycolnames #colnames(x)[par1]
x <- x1
if (par3 == 'First Differences'){
x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep='')))
for (i in 1:n-1) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
}
if (par2 == 'Include Monthly Dummies'){
x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep ='')))
for (i in 1:11){
x2[seq(i,n,12),i] <- 1
}
x <- cbind(x, x2)
}
if (par2 == 'Include Quarterly Dummies'){
x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep ='')))
for (i in 1:3){
x2[seq(i,n,4),i] <- 1
}
x <- cbind(x, x2)
}
k <- length(x[1,])
if (par3 == 'Linear Trend'){
x <- cbind(x, c(1:n))
colnames(x)[k+1] <- 't'
}
x
k <- length(x[1,])
df <- as.data.frame(x)
(mylm <- lm(df))
(mysum <- summary(mylm))
if (n > n25) {
kp3 <- k + 3
nmkm3 <- n - k - 3
gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
numgqtests <- 0
numsignificant1 <- 0
numsignificant5 <- 0
numsignificant10 <- 0
for (mypoint in kp3:nmkm3) {
j <- 0
numgqtests <- numgqtests + 1
for (myalt in c('greater', 'two.sided', 'less')) {
j <- j + 1
gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value
}
if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1
if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1
if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1
}
gqarr
}
bitmap(file='test0.png')
plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')
points(x[,1]-mysum$resid)
grid()
dev.off()
bitmap(file='test1.png')
plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
grid()
dev.off()
bitmap(file='test2.png')
hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
grid()
dev.off()
bitmap(file='test3.png')
densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
dev.off()
bitmap(file='test4.png')
qqnorm(mysum$resid, main='Residual Normal Q-Q Plot')
qqline(mysum$resid)
grid()
dev.off()
(myerror <- as.ts(mysum$resid))
bitmap(file='test5.png')
dum <- cbind(lag(myerror,k=1),myerror)
dum
dum1 <- dum[2:length(myerror),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
lines(lowess(z))
abline(lm(z))
grid()
dev.off()
bitmap(file='test6.png')
acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
grid()
dev.off()
bitmap(file='test7.png')
pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
grid()
dev.off()
bitmap(file='test8.png')
opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
plot(mylm, las = 1, sub='Residual Diagnostics')
par(opar)
dev.off()
if (n > n25) {
bitmap(file='test9.png')
plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
grid()
dev.off()
}
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
a<-table.row.end(a)
myeq <- colnames(x)[1]
myeq <- paste(myeq, '[t] = ', sep='')
for (i in 1:k){
if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, signif(mysum$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')
}

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code