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R Software Module

rwasp_multipleregression.wasp

Title produced by software

Multiple Regression

Date of computation

Mon, 15 Dec 2014 13:16:12 +0000

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/15/t1418650428b8h0mycx09ui5f5.htm/, Retrieved Thu, 16 May 2024 12:51:00 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=268355, Retrieved Thu, 16 May 2024 12:51:00 +0000

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

-       [Multiple Regression] [eeeee] [2014-12-15 13:16:12] [ba449e08135e498de67ac1fe8477f1b8] [Current]

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0.5 0.67 0.67 0 0.5 4 1 12.9
0.5 0.83 0.33 0.5 1 4 0.89 12.2
0.4 1 0.67 0 1 5 0.89 12.8
0.5 0.83 0 0 0 4 0.89 7.4
0.7 0.67 0 1 1 4 0.89 6.7
0.3 0 0 0.5 0.5 9 0.78 12.6
0.4 0.83 0.67 0.5 0 8 0.89 14.8
0.4 0.5 0.67 1 1 11 1 13.3
0.7 0.83 0 0.5 0 4 0.89 11.1
0.6 0.33 0.67 0.5 0.5 4 0.78 8.2
0.6 0.5 1 0 0.5 6 1 11.4
0.2 0.67 0 0.5 0.5 4 0.78 6.4
0.4 1 0 0.5 0.5 8 0.89 10.6
0.4 0.5 0.67 0 1 4 0.89 12
0.5 0.67 0.33 0 0 4 0.89 6.3
0.3 0.17 0.67 0 0.5 11 0.89 11.3
0.4 0.83 0.33 0.5 0.5 4 0.89 11.9
0.7 0.67 0.33 0.5 1 4 0.67 9.3
0.5 0.67 0.33 0 1 6 1 9.6
0.2 0.67 0 0 1 6 0.78 10
0.3 0.5 0.67 0 0.5 4 0.78 6.4
0.6 1 0.33 0 1 8 0.89 13.8
0.6 0.83 0.33 0 1 5 0.78 10.8
0.2 0.83 0.33 0 1 4 0.89 13.8
0.7 1 0.67 1 0 9 0.89 11.7
0.2 0.67 0 0 0 4 0.33 10.9
1 1 0.33 1 1 7 1 16.1
0.4 0.83 0.67 0 0.5 10 0.89 13.4
0.4 1 1 0 1 4 0.89 9.9
0.2 0.83 0.67 0 0.5 4 0.67 11.5
0.4 0.67 0.33 0 1 7 0.56 8.3
0.4 0.67 0 0.5 1 12 0.89 11.7
0.7 1 0.67 0.5 0.5 7 0.89 9
0.2 0.67 0.67 0 0.5 5 1 9.7
0.6 1 1 0 0.5 8 0.78 10.8
0.3 1 1 0.5 0.5 5 0.78 10.3
0.3 0.5 0.33 0 0 4 0.33 10.4
0.2 0.67 0 0.5 0 9 0.78 12.7
0.5 0.83 0.67 0.5 0.5 7 0.89 9.3
0.7 1 0.67 0.5 1 4 0.89 11.8
0.6 1 0.67 0.5 0.5 4 0.78 5.9
0.4 1 0.67 0.5 1 4 0.89 11.4
0.6 1 0.33 0.5 1 4 0.89 13
0.4 1 1 0 1 4 1 10.8
0.3 0.83 0.67 0 1 7 0.67 12.3
0.5 0.83 0.67 0.5 0.5 4 1 11.3
0.2 0.5 0 0 1 7 0.89 11.8
0.3 0.83 0 0.5 1 4 0.89 7.9
0.5 0.17 0 0 1 4 0.89 12.7
0.7 0.83 1 0.5 1 4 0.78 12.3
0.4 1 0.67 1 0.5 4 0.89 11.6
0.3 1 0 0 0.5 8 0.78 6.7
0.2 0.67 0.67 1 1 4 0.78 10.9
0.5 1 0 0 0.5 4 1 12.1
0.4 1 0 0.5 0 4 0.78 13.3
0.6 1 0.67 1 1 4 1 10.1
0.4 0.83 1 0 1 7 0.78 5.7
0.4 0.33 0 0 0.5 12 0.67 14.3
0.2 0.33 0.33 0 0 4 0.33 8
0.9 1 0.67 0.5 1 4 1 13.3
0.8 1 0.67 1 0.5 4 1 9.3
0.8 0.83 0 0.5 1 5 0.78 12.5
0.3 1 1 0.5 1 15 0.67 7.6
0.2 0.83 0.67 0 0.5 5 1 15.9
0.4 0.67 0 0.5 1 10 0.89 9.2
0.2 0.83 1 0 1 9 0.89 9.1
0.2 0.67 0.67 0.5 1 8 0.78 11.1
0.1 0.83 0.67 0 1 4 1 13
0.4 0.67 1 0.5 0 5 0.56 14.5
0.5 1 0 0.5 0.5 4 0.67 12.2
0.8 0.83 0.33 0.5 1 9 0.89 12.3
0.4 0.67 0.67 0 0.5 4 0.89 11.4
0.6 0.83 0.33 0.5 0.5 10 0.89 8.8
0.5 0.83 0.67 0.5 1 4 0.89 14.6
0.3 0.67 0 0 0 4 0.78 12.6
0.4 0.33 0 0.5 0 7 1 13
0.6 0.83 0.67 0.5 0.5 5 1 12.6
0.4 1 0.33 0 0.5 4 0.89 13.2
0.3 0.83 0 0 0 4 0.44 9.9
0.8 0.83 0 1 1 4 0.78 7.7
0.6 0.5 0.33 1 1 4 0.89 10.5
0.3 0.5 0 0 0 4 0.67 13.4
0.5 0.83 0.67 0.5 1 4 0.78 10.9
0.4 1 0.33 0 1 6 0.78 4.3
0.3 0.33 0.67 0 0 10 0.33 10.3
0.7 1 0.33 0 0.5 7 0.89 11.8
0.2 0.67 0.33 0.5 0.5 4 0.89 11.2
0.4 0.83 1 0 1 4 0.89 11.4
0.6 1 0.67 0.5 0.5 7 0.89 8.6
0.6 0.83 0 0 1 4 0.56 13.2
0.6 0.83 0.67 0.5 0.5 8 0.67 12.6
0.4 1 0.33 0.5 1 11 0.67 5.6
0.6 0.83 0 0 1 6 0.78 9.9
0.5 1 0.33 0.5 1 14 0.78 8.8
0.5 0.83 0 0 1 5 0.78 7.7
0.6 0.67 0 0 1 4 0.89 9
0.8 0.83 0.33 0.5 1 8 1 7.3
0.5 0.83 0.67 1 0.5 9 0.89 11.4
0.6 0.83 0.67 0.5 1 4 0.89 13.6
0.4 0.83 0.67 0.5 1 4 0.78 7.9
0.3 0.67 0.67 0.5 1 5 1 10.7
0.3 0.83 1 0 0.5 4 0.78 10.3
0.2 0 0 0 0 5 0.67 8.3
0.4 0.83 0 0 0.5 4 0.78 9.6
0.5 1 0 0 0.5 4 0.89 14.2
0.3 0.17 0 0.5 0 7 0.67 8.5
0.4 0.17 0 0.5 0 10 0.22 13.5
0.5 0.5 1 0 0 4 0.44 4.9
0.3 0.5 0.67 0 1 5 0.89 6.4
0.5 1 0 0 0.5 4 0.67 9.6
0.4 0.67 0.67 0 0.5 4 0.89 11.6
0.4 0.83 0.67 0 1 4 0.67 11.1
0.6 1 0 1 1 6 0.78 4.35
0.3 1 0.67 1 1 4 0.78 12.7
0.4 1 0.33 1 0.5 8 0.78 18.1
0.3 1 1 1 1 5 1 17.85
1 1 1 1 1 4 0.78 16.6
0.4 1 0 0 0.5 17 0.67 12.6
0.8 0.83 1 0.5 1 4 0.89 17.1
0.3 1 0.67 1 1 4 0.89 19.1
0.5 0.83 0.67 0 1 8 1 16.1
0.4 1 0 0 0.5 4 0.78 13.35
0.3 0.83 0.67 0 1 7 0.67 18.4
0.5 0.83 1 0 1 4 0.89 14.7
0.3 1 0.67 0 1 4 0.67 10.6
0.3 0.67 0 0 1 5 0.67 12.6
0.4 0.83 0 0 1 7 1 16.2
0.3 1 0 0 0.5 4 0.67 13.6
0.6 1 0.33 0.5 0.5 4 1 18.9
0.6 0.83 0.67 1 1 7 0.89 14.1
0.4 1 1 1 1 11 0.89 14.5
0.4 1 0 0 0 7 1 16.15
0.4 1 0.67 0 0.5 4 0.67 14.75
0.3 0.67 0.67 0.5 1 4 0.44 14.8
0.2 1 0.33 1 0 4 0.89 12.45
0.5 0.83 0.67 0 1 4 0.56 12.65
0.4 1 0.67 1 1 4 0.78 17.35
0.4 1 0.67 0 0 4 1 8.6
0.4 0.83 0.67 0 1 6 1 18.4
0.3 0.67 0.67 0.5 0.5 8 0.89 16.1
0.4 0.83 0.67 1 0.5 23 0.67 11.6
0.2 1 0.33 0.5 1 4 0.89 17.75
0 0 0 0 0 8 0.33 15.25
0.4 1 0.67 0.5 1 6 0.89 17.65
0.6 1 0 1 1 4 0.78 16.35
0.4 0.67 0.67 0 0.5 7 1 17.65
0.4 1 0 0 0.5 4 0.44 13.6
0.4 0.83 0 0.5 0 4 0.67 14.35
0.2 0.17 0 0.5 0 4 0.33 14.75
0.4 0.83 1 1 1 10 0.89 18.25
0.3 0.83 0 0 0.5 6 0.89 9.9
0.6 0.83 0.67 1 0 5 1 16
0.6 0.83 1 0 1 5 0.89 18.25
0.4 0.83 0 0 1 4 0.89 16.85
0.5 1 0.67 1 0.5 4 1 14.6
0.4 0.83 0 0.5 1 5 0.89 13.85
0.6 1 1 1 1 5 1 18.95
0.6 0.83 0.67 0.5 1 5 0.78 15.6
0.9 1 0.67 0.5 1 5 0.78 14.85
0.4 0.83 0.67 0.5 0 4 0.67 11.75
0.8 1 1 0.5 1 6 0.89 18.45
0.5 0.83 1 0 1 4 0.67 15.9
0.4 0.83 1 0 0 4 0.78 17.1
0.4 1 0.67 1 0.5 4 0.89 16.1
0.7 1 1 1 0.5 9 0.89 19.9
0.4 1 0.33 1 1 18 0.78 10.95
0.8 1 0.67 0.5 1 6 1 18.45
0.4 1 1 1 0.5 5 1 15.1
0.3 1 0.67 0 0.5 4 1 15
0.5 1 0.67 0.5 1 11 0.67 11.35
0.8 1 0.67 1 1 4 0.89 15.95
0.4 0.83 0.33 0 0.5 10 1 18.1
1 1 1 0.5 0 6 1 14.6
0.5 1 0.67 1 1 8 0.89 15.4
0.5 1 0.67 1 1 8 0.89 15.4
0.3 1 0.33 0 1 6 0.89 17.6
0.3 0.83 0.33 0.5 1 8 0.89 13.35
0.3 0.5 0 0 1 4 0.89 19.1
0.4 0.67 0.33 0.5 0.5 4 1 15.35
0.5 1 0.33 0 1 9 0.67 7.6
0.5 0.67 0.67 0.5 1 9 1 13.4
0.4 1 0 0 0 5 0.89 13.9
0.7 1 1 0.5 0 4 0.89 19.1
0.5 0.5 0.33 0 0.5 4 0.89 15.25
0.4 0.67 0.33 1 0 15 0.89 12.9
0.7 0.67 1 0 1 10 1 16.1
0.7 0.67 1 0 1 9 1 17.35
0.7 0.67 1 0 1 7 1 13.15
0.7 0.67 1 0 1 9 0.89 12.15
0.7 0.67 0 0 0 6 0.89 12.6
0.7 1 0.67 0.5 1 4 0.89 10.35
0.1 0.67 0.33 0.5 0 7 0.33 15.4
0.2 0.67 0.67 0.5 1 4 0.67 9.6
0.3 0.33 0.33 0 1 7 0.56 18.2
0.6 0.83 0.33 0 0.5 4 0.44 13.6
0.8 1 1 1 1 15 1 14.85
0.8 1 0.33 0.5 0.5 4 0.89 14.75
0 0.17 0 0 0 9 0.33 14.1
0.3 0.67 0.33 0 1 4 0.67 14.9
0.6 0.83 0.33 0.5 1 4 0.67 16.25
0.5 0.83 0.67 0 1 28 1 19.25
0.7 1 0.33 0 0.5 4 0.78 13.6
0.3 0.83 0 0.5 1 4 0.67 13.6
0.3 1 0.67 0 0 4 1 15.65
0.4 1 0.67 0 0.5 5 0.78 12.75
0.4 0.83 1 0 1 4 0.89 14.6
0.1 0.83 0 0 1 4 0.89 9.85
0.5 1 0.67 0 1 12 0.89 12.65
0 0 0 0 0 4 0 19.2
0.4 1 0.33 0.5 0 6 0.67 16.6
0.6 0.83 0.67 1 0.5 6 1 11.2
0.4 1 0.33 0.5 1 5 1 15.25
0.1 0.33 0 0.5 1 4 0.67 11.9
0.3 0.83 0 0 1 4 0.89 13.2
0.7 0.83 0.67 0 1 4 0.89 16.35
0.3 0.17 0 0 1 10 0.56 12.4
0.5 0.83 0.33 0.5 0 7 0.67 15.85
0.3 0.83 0.67 1 1 4 1 18.15
0.6 0.67 0.67 0.5 1 7 1 11.15
0.9 1 1 0 1 4 1 15.65
0.4 0.83 0 0.5 1 4 0.67 17.75
0.3 1 0 0.5 0.5 12 0.44 7.65
0.9 1 0.67 1 1 5 0.89 12.35
0.5 1 0 0.5 0 8 0.44 15.6
0.3 1 1 0.5 0.5 6 0.56 19.3
0.6 0.83 0.67 0 0.5 17 0.89 15.2
0.2 1 0.33 0 0.5 4 0.67 17.1
0.4 0.83 1 0.5 1 5 0.89 15.6
0.5 0.83 0.67 0.5 0.5 4 1 18.4
0.4 0.83 0.67 0 0.5 5 0.78 19.05
0 0 0 0 0 5 0.44 18.55
0.2 1 0.33 0.5 1 6 0.89 19.1
0.5 1 0.67 0.5 1 4 0.89 13.1
0.3 1 0.67 0 0.5 4 0.89 12.85
0 0 0 0 0 4 0.44 9.5
0.5 0.83 1 0 1 6 1 4.5
0.6 0.83 0.33 0 1 8 0.89 11.85
0.3 0.83 0 0.5 0.5 10 0.67 13.6
0 0 0 0 0 4 0.33 11.7
0.3 0.67 0 0.5 0 5 0.78 12.4
0.5 1 0.67 0.5 1 4 0.89 13.35
0.4 0.67 0 0 1 4 0.78 11.4
0.5 0.83 0.67 0 0.5 4 0.78 14.9
0.7 1 1 1 0.5 16 0.89 19.9
0.8 1 0.67 0.5 1 7 0.78 11.2
0.6 1 0.33 0.5 1 4 0.78 14.6
0.4 0.83 0.33 0 0.5 4 0.67 17.6
0.5 0.83 0.33 0.5 0 14 0.89 14.05
0.5 1 0 0.5 1 5 0.89 16.1
0.3 1 0.33 0 1 5 0.78 13.35
0.6 1 0 0.5 1 5 1 11.85
0.3 0.67 0.67 0 0.5 5 1 11.95
0.6 0.83 1 0.5 0.5 7 0.78 14.75
0.3 0.33 0.33 0 1 19 0.78 15.15
0.7 1 0.67 1 1 16 0.89 13.2
0.7 1 1 0 1 4 0.89 16.85
0.6 0.67 1 0.5 1 4 0.67 7.85
0.5 1 0.33 0.5 0 7 1 7.7
0.5 0.83 0.33 0 0.5 9 0.67 12.6
0.4 0.67 0 0 1 5 0.56 7.85
0.4 1 0.33 1 1 14 0.78 10.95
0.7 1 1 0 1 4 1 12.35
0.2 0.17 0 0.5 0 16 0.67 9.95
0.5 0.83 0.67 0 0.5 10 0.78 14.9
0.4 0.83 0.67 0.5 0 5 0.56 16.65
0.2 1 0.67 1 1 6 1 13.4
0.5 0.67 0.67 0 0 4 0.89 13.95
0.4 0.5 0 0 1 4 0.44 15.7
0.7 0.67 1 1 1 4 1 16.85
0.6 0.83 0.67 1 0 5 0.89 10.95
0.4 0.83 0 0 0 4 0.78 15.35
0.5 1 0.67 1 1 4 0.89 12.2
0 0.17 0 0 0 5 0.11 15.1
0.7 1 0.67 0.5 1 4 0.89 17.75
0.4 0.67 0.67 0 1 4 0.89 15.2
0.5 0.67 1 0 1 5 1 14.6
0.6 0.83 0.67 0 0.5 8 0.89 16.65
0.8 0.5 0.67 0.5 0.5 15 1 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	'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 9 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268355&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268355&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268355&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	'Gertrude Mary Cox' @ cox.wessa.net

Multiple Linear Regression - Estimated Regression Equation
TOT[t] = + 11.7209 -0.971078Algebraic_Reasoning[t] + 0.997333Graphical_Interpretation[t] + 1.54459Proportionality_and_Ratio[t] + 0.531712Probability_and_Sampling[t] -0.298445Estimation[t] -0.00337301AMS.A[t] + 0.261529Calculation[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
TOT[t] =  +  11.7209 -0.971078Algebraic_Reasoning[t] +  0.997333Graphical_Interpretation[t] +  1.54459Proportionality_and_Ratio[t] +  0.531712Probability_and_Sampling[t] -0.298445Estimation[t] -0.00337301AMS.A[t] +  0.261529Calculation[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268355&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]TOT[t] =  +  11.7209 -0.971078Algebraic_Reasoning[t] +  0.997333Graphical_Interpretation[t] +  1.54459Proportionality_and_Ratio[t] +  0.531712Probability_and_Sampling[t] -0.298445Estimation[t] -0.00337301AMS.A[t] +  0.261529Calculation[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268355&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268355&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
TOT[t] = + 11.7209 -0.971078Algebraic_Reasoning[t] + 0.997333Graphical_Interpretation[t] + 1.54459Proportionality_and_Ratio[t] + 0.531712Probability_and_Sampling[t] -0.298445Estimation[t] -0.00337301AMS.A[t] + 0.261529Calculation[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)	11.7209	1.0568	11.09	8.40261e-24	4.2013e-24
Algebraic_Reasoning	-0.971078	1.25181	-0.7757	0.438583	0.219292
Graphical_Interpretation	0.997333	1.01011	0.9873	0.324356	0.162178
Proportionality_and_Ratio	1.54459	0.635348	2.431	0.0157043	0.00785215
Probability_and_Sampling	0.531712	0.587636	0.9048	0.366361	0.183181
Estimation	-0.298445	0.564708	-0.5285	0.597591	0.298795
AMS.A	-0.00337301	0.0592311	-0.05695	0.95463	0.477315
Calculation	0.261529	1.36567	0.1915	0.848276	0.424138

\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) & 11.7209 & 1.0568 & 11.09 & 8.40261e-24 & 4.2013e-24 \tabularnewline
Algebraic_Reasoning & -0.971078 & 1.25181 & -0.7757 & 0.438583 & 0.219292 \tabularnewline
Graphical_Interpretation & 0.997333 & 1.01011 & 0.9873 & 0.324356 & 0.162178 \tabularnewline
Proportionality_and_Ratio & 1.54459 & 0.635348 & 2.431 & 0.0157043 & 0.00785215 \tabularnewline
Probability_and_Sampling & 0.531712 & 0.587636 & 0.9048 & 0.366361 & 0.183181 \tabularnewline
Estimation & -0.298445 & 0.564708 & -0.5285 & 0.597591 & 0.298795 \tabularnewline
AMS.A & -0.00337301 & 0.0592311 & -0.05695 & 0.95463 & 0.477315 \tabularnewline
Calculation & 0.261529 & 1.36567 & 0.1915 & 0.848276 & 0.424138 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268355&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]11.7209[/C][C]1.0568[/C][C]11.09[/C][C]8.40261e-24[/C][C]4.2013e-24[/C][/ROW]
[ROW][C]Algebraic_Reasoning[/C][C]-0.971078[/C][C]1.25181[/C][C]-0.7757[/C][C]0.438583[/C][C]0.219292[/C][/ROW]
[ROW][C]Graphical_Interpretation[/C][C]0.997333[/C][C]1.01011[/C][C]0.9873[/C][C]0.324356[/C][C]0.162178[/C][/ROW]
[ROW][C]Proportionality_and_Ratio[/C][C]1.54459[/C][C]0.635348[/C][C]2.431[/C][C]0.0157043[/C][C]0.00785215[/C][/ROW]
[ROW][C]Probability_and_Sampling[/C][C]0.531712[/C][C]0.587636[/C][C]0.9048[/C][C]0.366361[/C][C]0.183181[/C][/ROW]
[ROW][C]Estimation[/C][C]-0.298445[/C][C]0.564708[/C][C]-0.5285[/C][C]0.597591[/C][C]0.298795[/C][/ROW]
[ROW][C]AMS.A[/C][C]-0.00337301[/C][C]0.0592311[/C][C]-0.05695[/C][C]0.95463[/C][C]0.477315[/C][/ROW]
[ROW][C]Calculation[/C][C]0.261529[/C][C]1.36567[/C][C]0.1915[/C][C]0.848276[/C][C]0.424138[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268355&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268355&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)	11.7209	1.0568	11.09	8.40261e-24	4.2013e-24
Algebraic_Reasoning	-0.971078	1.25181	-0.7757	0.438583	0.219292
Graphical_Interpretation	0.997333	1.01011	0.9873	0.324356	0.162178
Proportionality_and_Ratio	1.54459	0.635348	2.431	0.0157043	0.00785215
Probability_and_Sampling	0.531712	0.587636	0.9048	0.366361	0.183181
Estimation	-0.298445	0.564708	-0.5285	0.597591	0.298795
AMS.A	-0.00337301	0.0592311	-0.05695	0.95463	0.477315
Calculation	0.261529	1.36567	0.1915	0.848276	0.424138

Multiple Linear Regression - Regression Statistics
Multiple R	0.195382
R-squared	0.0381739
Adjusted R-squared	0.0132377
F-TEST (value)	1.53086
F-TEST (DF numerator)	7
F-TEST (DF denominator)	270
p-value	0.156773
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	3.37182
Sum Squared Residuals	3069.67

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.195382 \tabularnewline
R-squared & 0.0381739 \tabularnewline
Adjusted R-squared & 0.0132377 \tabularnewline
F-TEST (value) & 1.53086 \tabularnewline
F-TEST (DF numerator) & 7 \tabularnewline
F-TEST (DF denominator) & 270 \tabularnewline
p-value & 0.156773 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 3.37182 \tabularnewline
Sum Squared Residuals & 3069.67 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268355&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.195382[/C][/ROW]
[ROW][C]R-squared[/C][C]0.0381739[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.0132377[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]1.53086[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]7[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]270[/C][/ROW]
[ROW][C]p-value[/C][C]0.156773[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]3.37182[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]3069.67[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268355&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268355&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	0.195382
R-squared	0.0381739
Adjusted R-squared	0.0132377
F-TEST (value)	1.53086
F-TEST (DF numerator)	7
F-TEST (DF denominator)	270
p-value	0.156773
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	3.37182
Sum Squared Residuals	3069.67

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	12.9	13.0372	-0.137222
2	12.2	12.7595	-0.5595
3	12.8	13.2821	-0.482087
4	7.4	12.2824	-4.88237
5	6.7	12.1619	-5.46185
6	12.6	11.7198	0.880198
7	14.8	13.6667	1.13328
8	13.3	13.3237	-0.0236619
9	11.1	12.354	-1.25401
10	8.2	12.8093	-4.60934
11	11.4	13.2735	-1.87354
12	6.4	12.502	-6.10199
13	10.6	12.6522	-2.05217
14	12	12.7868	-0.786793
15	6.3	12.6325	-6.33251
16	11.3	12.6804	-1.38039
17	11.9	13.0058	-1.10583
18	9.3	12.3482	-3.04817
19	9.6	12.3561	-2.75609
20	10	12.0802	-2.08016
21	6.4	13.0044	-6.60435
22	13.8	12.5526	1.24741
23	10.8	12.3644	-1.56439
24	13.8	12.785	1.01503
25	11.7	13.8074	-2.10743
26	10.9	12.2677	-1.36767
27	16.1	12.728	3.37199
28	13.4	13.2449	0.155103
29	9.9	13.7952	-3.89518
30	11.5	13.4018	-1.90181
31	8.3	12.3348	-4.03475
32	11.7	12.1603	-0.460334
33	9	13.3991	-4.3991
34	9.7	13.3252	-3.62517
35	10.8	13.7079	-2.90792
36	10.3	14.2752	-3.97522
37	10.4	12.5107	-2.11073
38	12.7	12.6343	0.0656546
39	9.3	13.4238	-4.12376
40	11.8	13.26	-1.45999
41	5.9	13.4776	-7.57755
42	11.4	13.5513	-2.15132
43	13	12.8319	0.168062
44	10.8	13.8239	-3.02394
45	12.3	13.1454	-0.845365
46	11.3	13.4627	-2.16265
47	11.8	11.936	-0.136013
48	7.9	12.444	-4.544
49	12.7	11.3257	1.37431
50	12.3	13.5714	-1.27139
51	11.6	13.9664	-2.36639
52	6.7	12.4547	-5.75465
53	10.9	13.6535	-2.7535
54	12.1	12.3315	-0.231465
55	13.3	12.7861	0.513885
56	10.1	13.6517	-3.55172
57	5.7	13.5867	-7.88674
58	14.3	11.6471	2.65293
59	8	12.4383	-4.43829
60	13.3	13.0945	0.205455
61	9.3	13.6067	-4.30673
62	12.5	11.9263	0.573681
63	7.6	14.0635	-6.4635
64	15.9	13.4847	2.41525
65	9.2	12.1671	-2.96708
66	9.1	13.803	-4.70298
67	11.1	13.3742	-2.27415
68	13	13.436	-0.436005
69	14.5	13.9407	0.559322
70	12.2	12.511	-0.311016
71	12.3	12.4513	-0.151311
72	11.4	13.1056	-1.70556
73	8.8	12.7914	-3.99138
74	14.6	13.2847	1.31534
75	12.6	12.2882	0.311753
76	13	12.1653	0.834681
77	12.6	13.3622	-0.762171
78	13.2	12.9095	0.29048
79	9.9	12.3589	-2.4589
80	7.7	12.1955	-4.49555
81	10.5	12.5991	-2.09913
82	13.4	12.0899	1.31007
83	10.9	13.2559	-2.35589
84	4.3	12.7248	-8.42478
85	10.3	12.8461	-2.5461
86	11.8	12.6081	-0.808078
87	11.2	13.0405	-1.84047
88	11.4	13.6256	-2.22563
89	8.6	13.4962	-4.8962
90	13.2	11.8005	1.39948
91	12.6	13.2657	-0.665747
92	5.6	12.945	-7.34501
93	9.9	11.8513	-1.95131
94	8.8	12.8665	-4.06655
95	7.7	11.9518	-4.25179
96	9	11.7272	-2.72725
97	7.3	12.4835	-5.18345
98	11.4	13.6829	-2.28287
99	13.6	13.1876	0.412447
100	7.9	13.353	-5.453
101	10.7	13.3447	-2.6447
102	10.3	13.8432	-3.54319
103	8.3	11.685	-3.385
104	9.6	12.2015	-2.60149
105	14.2	12.3027	1.8973
106	8.5	12.0165	-3.51655
107	13.5	11.7916	1.70837
108	4.9	13.3802	-8.48016
109	6.4	12.8805	-6.48053
110	9.6	12.2452	-2.64516
111	11.6	13.1056	-1.50556
112	11.1	13.0584	-1.95838
113	4.35	12.5526	-8.20256
114	12.7	13.8855	-1.18551
115	18.1	13.399	4.70103
116	17.85	14.4494	3.40061
117	16.6	13.7155	2.88453
118	12.6	12.2984	0.301581
119	17.1	13.5031	3.59695
120	19.1	13.9143	5.18572
121	16.1	13.0341	3.06592
122	13.35	12.371	0.978963
123	18.4	13.1454	5.25463
124	14.7	13.5285	1.17148
125	10.6	13.325	-2.72503
126	12.6	11.9577	0.642339
127	16.2	12.0997	4.10031
128	13.6	12.4394	1.16062
129	18.9	13.0099	5.89007
130	14.1	13.4433	0.65671
131	14.5	14.3033	0.196724
132	16.15	12.5677	3.58232
133	14.75	13.3771	1.37285
134	14.8	13.2016	1.59838
135	12.45	13.7847	-1.33467
136	12.65	12.9325	-0.282501
137	17.35	13.7884	3.5616
138	8.6	13.6127	-5.01267
139	18.4	13.1379	5.26206
140	16.1	13.455	2.64497
141	11.6	13.6752	-2.07522
142	17.75	13.2204	4.52963
143	15.25	11.7802	3.46982
144	17.65	13.5446	4.10543
145	16.35	12.5593	3.79069
146	17.65	13.1242	4.52579
147	13.6	12.2821	1.31788
148	14.35	12.5878	1.7622
149	14.75	12.0349	2.71514
150	18.25	14.1371	4.1129
151	9.9	12.3206	-2.42062
152	16	13.7772	2.22275
153	18.25	13.428	4.82196
154	16.85	12.081	4.76896
155	14.6	13.8981	0.701946
156	13.85	12.3435	1.50648
157	18.95	14.1581	4.79193
158	15.6	13.1554	2.44459
159	14.85	13.0336	1.81636
160	11.75	13.6227	-1.87268
161	18.45	13.6659	4.78415
162	15.9	13.471	2.42902
163	17.1	13.8953	3.2047
164	16.1	13.9664	2.13361
165	19.9	14.1679	5.73208
166	10.95	13.216	-2.26602
167	18.45	13.1849	5.26509
168	15.1	14.5015	0.598496
169	15	13.5606	1.43944
170	11.35	13.3731	-2.02306
171	15.95	13.4287	2.52126
172	18.1	12.7485	5.3515
173	14.6	13.7989	0.801149
174	15.4	13.7066	1.69343
175	15.4	13.7066	1.69343
176	17.6	12.8507	4.74934
177	13.35	12.9402	0.409777
178	19.1	11.849	7.25098
179	15.35	12.875	2.47498
180	7.6	12.5888	-4.98879
181	13.4	13.137	0.263009
182	13.9	12.5457	1.35435
183	19.1	14.0682	5.03185
184	15.25	12.3137	2.93625
185	12.9	13.2242	-0.324231
186	16.1	13.1833	2.91674
187	17.35	13.1866	4.16336
188	13.15	13.1934	-0.043381
189	12.15	13.1579	-1.00787
190	12.6	11.9218	0.678162
191	10.35	13.26	-2.90999
192	15.4	13.1302	2.26977
193	9.6	13.3589	-3.75887
194	18.2	12.0928	6.10723
195	13.6	12.4281	1.17193
196	14.85	13.9301	0.919879
197	14.75	12.7869	1.96306
198	14.1	11.9464	2.15365
199	14.9	12.4707	2.42925
200	16.25	12.6049	3.64514
201	19.25	12.9666	6.28338
202	13.6	12.5894	1.01057
203	13.6	12.3865	1.21354
204	15.65	13.7098	1.94022
205	12.75	13.4025	-0.652541
206	14.6	13.6256	0.974371
207	9.85	12.3724	-2.52236
208	12.65	13.1614	-0.511368
209	19.2	11.7074	7.49264
210	16.6	13.2603	3.33968
211	11.2	13.6247	-2.42465
212	15.25	13.0515	2.19845
213	11.9	12.082	-0.182012
214	13.2	12.1781	1.02186
215	16.35	12.8246	3.52541
216	12.4	11.4134	0.986639
217	15.85	12.9903	2.85971
218	18.15	13.7735	4.3765
219	11.15	13.0466	-1.89663
220	15.65	13.3384	2.3116
221	17.75	12.2894	5.46064
222	7.65	12.6181	-4.9681
223	12.35	13.3283	-0.978259
224	15.6	12.5866	3.0134
225	19.3	14.2143	5.08569
226	15.2	13.0271	2.17293
227	17.1	13.0462	4.0538
228	15.6	13.8881	1.71189
229	18.4	13.4627	4.93735
230	19.05	13.233	5.81701
231	18.55	11.8191	6.73094
232	19.1	13.2136	5.88638
233	13.1	13.4542	-0.354208
234	12.85	13.5318	-0.68179
235	9.5	11.8224	-2.32244
236	4.5	13.5505	-9.05054
237	11.85	12.383	-0.533044
238	13.6	12.5154	1.08455
239	11.7	11.7937	-0.093669
240	12.4	12.5507	-0.15073
241	13.35	13.4542	-0.104208
242	11.4	11.8927	-0.492694
243	14.9	13.1393	1.76074
244	19.9	14.1443	5.75569
245	11.2	13.124	-1.924
246	14.6	12.8032	1.79683
247	17.6	12.6824	4.91756
248	14.05	13.0242	1.02579
249	16.1	12.416	3.68404
250	13.35	12.8253	0.524735
251	11.85	12.3476	-0.497618
252	11.95	13.2281	-1.27806
253	14.75	13.8076	0.942396
254	15.15	12.1098	3.04017
255	13.2	13.4854	-0.285372
256	16.85	13.5039	3.34615
257	7.85	13.4802	-5.63016
258	7.7	13.2461	-5.54614
259	12.6	12.5685	0.0315355
260	7.85	11.8318	-3.98179
261	10.95	13.2295	-2.27951
262	12.35	13.5326	-1.18262
263	9.95	12.0833	-2.1333
264	14.9	13.119	1.78098
265	16.65	13.5905	3.05946
266	13.4	14.0334	-0.633409
267	13.95	13.1577	0.792324
268	15.7	11.6342	4.06577
269	16.85	13.7352	3.11479
270	10.95	13.7485	-2.79848
271	15.35	12.3507	2.99929
272	12.2	13.7201	-1.52006
273	15.1	11.9023	3.19769
274	17.75	13.26	4.49001
275	15.2	12.9563	2.24366
276	14.6	13.3943	1.20566
277	16.65	13.0574	3.59257
278	8.1	12.8051	-4.70511

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 12.9 & 13.0372 & -0.137222 \tabularnewline
2 & 12.2 & 12.7595 & -0.5595 \tabularnewline
3 & 12.8 & 13.2821 & -0.482087 \tabularnewline
4 & 7.4 & 12.2824 & -4.88237 \tabularnewline
5 & 6.7 & 12.1619 & -5.46185 \tabularnewline
6 & 12.6 & 11.7198 & 0.880198 \tabularnewline
7 & 14.8 & 13.6667 & 1.13328 \tabularnewline
8 & 13.3 & 13.3237 & -0.0236619 \tabularnewline
9 & 11.1 & 12.354 & -1.25401 \tabularnewline
10 & 8.2 & 12.8093 & -4.60934 \tabularnewline
11 & 11.4 & 13.2735 & -1.87354 \tabularnewline
12 & 6.4 & 12.502 & -6.10199 \tabularnewline
13 & 10.6 & 12.6522 & -2.05217 \tabularnewline
14 & 12 & 12.7868 & -0.786793 \tabularnewline
15 & 6.3 & 12.6325 & -6.33251 \tabularnewline
16 & 11.3 & 12.6804 & -1.38039 \tabularnewline
17 & 11.9 & 13.0058 & -1.10583 \tabularnewline
18 & 9.3 & 12.3482 & -3.04817 \tabularnewline
19 & 9.6 & 12.3561 & -2.75609 \tabularnewline
20 & 10 & 12.0802 & -2.08016 \tabularnewline
21 & 6.4 & 13.0044 & -6.60435 \tabularnewline
22 & 13.8 & 12.5526 & 1.24741 \tabularnewline
23 & 10.8 & 12.3644 & -1.56439 \tabularnewline
24 & 13.8 & 12.785 & 1.01503 \tabularnewline
25 & 11.7 & 13.8074 & -2.10743 \tabularnewline
26 & 10.9 & 12.2677 & -1.36767 \tabularnewline
27 & 16.1 & 12.728 & 3.37199 \tabularnewline
28 & 13.4 & 13.2449 & 0.155103 \tabularnewline
29 & 9.9 & 13.7952 & -3.89518 \tabularnewline
30 & 11.5 & 13.4018 & -1.90181 \tabularnewline
31 & 8.3 & 12.3348 & -4.03475 \tabularnewline
32 & 11.7 & 12.1603 & -0.460334 \tabularnewline
33 & 9 & 13.3991 & -4.3991 \tabularnewline
34 & 9.7 & 13.3252 & -3.62517 \tabularnewline
35 & 10.8 & 13.7079 & -2.90792 \tabularnewline
36 & 10.3 & 14.2752 & -3.97522 \tabularnewline
37 & 10.4 & 12.5107 & -2.11073 \tabularnewline
38 & 12.7 & 12.6343 & 0.0656546 \tabularnewline
39 & 9.3 & 13.4238 & -4.12376 \tabularnewline
40 & 11.8 & 13.26 & -1.45999 \tabularnewline
41 & 5.9 & 13.4776 & -7.57755 \tabularnewline
42 & 11.4 & 13.5513 & -2.15132 \tabularnewline
43 & 13 & 12.8319 & 0.168062 \tabularnewline
44 & 10.8 & 13.8239 & -3.02394 \tabularnewline
45 & 12.3 & 13.1454 & -0.845365 \tabularnewline
46 & 11.3 & 13.4627 & -2.16265 \tabularnewline
47 & 11.8 & 11.936 & -0.136013 \tabularnewline
48 & 7.9 & 12.444 & -4.544 \tabularnewline
49 & 12.7 & 11.3257 & 1.37431 \tabularnewline
50 & 12.3 & 13.5714 & -1.27139 \tabularnewline
51 & 11.6 & 13.9664 & -2.36639 \tabularnewline
52 & 6.7 & 12.4547 & -5.75465 \tabularnewline
53 & 10.9 & 13.6535 & -2.7535 \tabularnewline
54 & 12.1 & 12.3315 & -0.231465 \tabularnewline
55 & 13.3 & 12.7861 & 0.513885 \tabularnewline
56 & 10.1 & 13.6517 & -3.55172 \tabularnewline
57 & 5.7 & 13.5867 & -7.88674 \tabularnewline
58 & 14.3 & 11.6471 & 2.65293 \tabularnewline
59 & 8 & 12.4383 & -4.43829 \tabularnewline
60 & 13.3 & 13.0945 & 0.205455 \tabularnewline
61 & 9.3 & 13.6067 & -4.30673 \tabularnewline
62 & 12.5 & 11.9263 & 0.573681 \tabularnewline
63 & 7.6 & 14.0635 & -6.4635 \tabularnewline
64 & 15.9 & 13.4847 & 2.41525 \tabularnewline
65 & 9.2 & 12.1671 & -2.96708 \tabularnewline
66 & 9.1 & 13.803 & -4.70298 \tabularnewline
67 & 11.1 & 13.3742 & -2.27415 \tabularnewline
68 & 13 & 13.436 & -0.436005 \tabularnewline
69 & 14.5 & 13.9407 & 0.559322 \tabularnewline
70 & 12.2 & 12.511 & -0.311016 \tabularnewline
71 & 12.3 & 12.4513 & -0.151311 \tabularnewline
72 & 11.4 & 13.1056 & -1.70556 \tabularnewline
73 & 8.8 & 12.7914 & -3.99138 \tabularnewline
74 & 14.6 & 13.2847 & 1.31534 \tabularnewline
75 & 12.6 & 12.2882 & 0.311753 \tabularnewline
76 & 13 & 12.1653 & 0.834681 \tabularnewline
77 & 12.6 & 13.3622 & -0.762171 \tabularnewline
78 & 13.2 & 12.9095 & 0.29048 \tabularnewline
79 & 9.9 & 12.3589 & -2.4589 \tabularnewline
80 & 7.7 & 12.1955 & -4.49555 \tabularnewline
81 & 10.5 & 12.5991 & -2.09913 \tabularnewline
82 & 13.4 & 12.0899 & 1.31007 \tabularnewline
83 & 10.9 & 13.2559 & -2.35589 \tabularnewline
84 & 4.3 & 12.7248 & -8.42478 \tabularnewline
85 & 10.3 & 12.8461 & -2.5461 \tabularnewline
86 & 11.8 & 12.6081 & -0.808078 \tabularnewline
87 & 11.2 & 13.0405 & -1.84047 \tabularnewline
88 & 11.4 & 13.6256 & -2.22563 \tabularnewline
89 & 8.6 & 13.4962 & -4.8962 \tabularnewline
90 & 13.2 & 11.8005 & 1.39948 \tabularnewline
91 & 12.6 & 13.2657 & -0.665747 \tabularnewline
92 & 5.6 & 12.945 & -7.34501 \tabularnewline
93 & 9.9 & 11.8513 & -1.95131 \tabularnewline
94 & 8.8 & 12.8665 & -4.06655 \tabularnewline
95 & 7.7 & 11.9518 & -4.25179 \tabularnewline
96 & 9 & 11.7272 & -2.72725 \tabularnewline
97 & 7.3 & 12.4835 & -5.18345 \tabularnewline
98 & 11.4 & 13.6829 & -2.28287 \tabularnewline
99 & 13.6 & 13.1876 & 0.412447 \tabularnewline
100 & 7.9 & 13.353 & -5.453 \tabularnewline
101 & 10.7 & 13.3447 & -2.6447 \tabularnewline
102 & 10.3 & 13.8432 & -3.54319 \tabularnewline
103 & 8.3 & 11.685 & -3.385 \tabularnewline
104 & 9.6 & 12.2015 & -2.60149 \tabularnewline
105 & 14.2 & 12.3027 & 1.8973 \tabularnewline
106 & 8.5 & 12.0165 & -3.51655 \tabularnewline
107 & 13.5 & 11.7916 & 1.70837 \tabularnewline
108 & 4.9 & 13.3802 & -8.48016 \tabularnewline
109 & 6.4 & 12.8805 & -6.48053 \tabularnewline
110 & 9.6 & 12.2452 & -2.64516 \tabularnewline
111 & 11.6 & 13.1056 & -1.50556 \tabularnewline
112 & 11.1 & 13.0584 & -1.95838 \tabularnewline
113 & 4.35 & 12.5526 & -8.20256 \tabularnewline
114 & 12.7 & 13.8855 & -1.18551 \tabularnewline
115 & 18.1 & 13.399 & 4.70103 \tabularnewline
116 & 17.85 & 14.4494 & 3.40061 \tabularnewline
117 & 16.6 & 13.7155 & 2.88453 \tabularnewline
118 & 12.6 & 12.2984 & 0.301581 \tabularnewline
119 & 17.1 & 13.5031 & 3.59695 \tabularnewline
120 & 19.1 & 13.9143 & 5.18572 \tabularnewline
121 & 16.1 & 13.0341 & 3.06592 \tabularnewline
122 & 13.35 & 12.371 & 0.978963 \tabularnewline
123 & 18.4 & 13.1454 & 5.25463 \tabularnewline
124 & 14.7 & 13.5285 & 1.17148 \tabularnewline
125 & 10.6 & 13.325 & -2.72503 \tabularnewline
126 & 12.6 & 11.9577 & 0.642339 \tabularnewline
127 & 16.2 & 12.0997 & 4.10031 \tabularnewline
128 & 13.6 & 12.4394 & 1.16062 \tabularnewline
129 & 18.9 & 13.0099 & 5.89007 \tabularnewline
130 & 14.1 & 13.4433 & 0.65671 \tabularnewline
131 & 14.5 & 14.3033 & 0.196724 \tabularnewline
132 & 16.15 & 12.5677 & 3.58232 \tabularnewline
133 & 14.75 & 13.3771 & 1.37285 \tabularnewline
134 & 14.8 & 13.2016 & 1.59838 \tabularnewline
135 & 12.45 & 13.7847 & -1.33467 \tabularnewline
136 & 12.65 & 12.9325 & -0.282501 \tabularnewline
137 & 17.35 & 13.7884 & 3.5616 \tabularnewline
138 & 8.6 & 13.6127 & -5.01267 \tabularnewline
139 & 18.4 & 13.1379 & 5.26206 \tabularnewline
140 & 16.1 & 13.455 & 2.64497 \tabularnewline
141 & 11.6 & 13.6752 & -2.07522 \tabularnewline
142 & 17.75 & 13.2204 & 4.52963 \tabularnewline
143 & 15.25 & 11.7802 & 3.46982 \tabularnewline
144 & 17.65 & 13.5446 & 4.10543 \tabularnewline
145 & 16.35 & 12.5593 & 3.79069 \tabularnewline
146 & 17.65 & 13.1242 & 4.52579 \tabularnewline
147 & 13.6 & 12.2821 & 1.31788 \tabularnewline
148 & 14.35 & 12.5878 & 1.7622 \tabularnewline
149 & 14.75 & 12.0349 & 2.71514 \tabularnewline
150 & 18.25 & 14.1371 & 4.1129 \tabularnewline
151 & 9.9 & 12.3206 & -2.42062 \tabularnewline
152 & 16 & 13.7772 & 2.22275 \tabularnewline
153 & 18.25 & 13.428 & 4.82196 \tabularnewline
154 & 16.85 & 12.081 & 4.76896 \tabularnewline
155 & 14.6 & 13.8981 & 0.701946 \tabularnewline
156 & 13.85 & 12.3435 & 1.50648 \tabularnewline
157 & 18.95 & 14.1581 & 4.79193 \tabularnewline
158 & 15.6 & 13.1554 & 2.44459 \tabularnewline
159 & 14.85 & 13.0336 & 1.81636 \tabularnewline
160 & 11.75 & 13.6227 & -1.87268 \tabularnewline
161 & 18.45 & 13.6659 & 4.78415 \tabularnewline
162 & 15.9 & 13.471 & 2.42902 \tabularnewline
163 & 17.1 & 13.8953 & 3.2047 \tabularnewline
164 & 16.1 & 13.9664 & 2.13361 \tabularnewline
165 & 19.9 & 14.1679 & 5.73208 \tabularnewline
166 & 10.95 & 13.216 & -2.26602 \tabularnewline
167 & 18.45 & 13.1849 & 5.26509 \tabularnewline
168 & 15.1 & 14.5015 & 0.598496 \tabularnewline
169 & 15 & 13.5606 & 1.43944 \tabularnewline
170 & 11.35 & 13.3731 & -2.02306 \tabularnewline
171 & 15.95 & 13.4287 & 2.52126 \tabularnewline
172 & 18.1 & 12.7485 & 5.3515 \tabularnewline
173 & 14.6 & 13.7989 & 0.801149 \tabularnewline
174 & 15.4 & 13.7066 & 1.69343 \tabularnewline
175 & 15.4 & 13.7066 & 1.69343 \tabularnewline
176 & 17.6 & 12.8507 & 4.74934 \tabularnewline
177 & 13.35 & 12.9402 & 0.409777 \tabularnewline
178 & 19.1 & 11.849 & 7.25098 \tabularnewline
179 & 15.35 & 12.875 & 2.47498 \tabularnewline
180 & 7.6 & 12.5888 & -4.98879 \tabularnewline
181 & 13.4 & 13.137 & 0.263009 \tabularnewline
182 & 13.9 & 12.5457 & 1.35435 \tabularnewline
183 & 19.1 & 14.0682 & 5.03185 \tabularnewline
184 & 15.25 & 12.3137 & 2.93625 \tabularnewline
185 & 12.9 & 13.2242 & -0.324231 \tabularnewline
186 & 16.1 & 13.1833 & 2.91674 \tabularnewline
187 & 17.35 & 13.1866 & 4.16336 \tabularnewline
188 & 13.15 & 13.1934 & -0.043381 \tabularnewline
189 & 12.15 & 13.1579 & -1.00787 \tabularnewline
190 & 12.6 & 11.9218 & 0.678162 \tabularnewline
191 & 10.35 & 13.26 & -2.90999 \tabularnewline
192 & 15.4 & 13.1302 & 2.26977 \tabularnewline
193 & 9.6 & 13.3589 & -3.75887 \tabularnewline
194 & 18.2 & 12.0928 & 6.10723 \tabularnewline
195 & 13.6 & 12.4281 & 1.17193 \tabularnewline
196 & 14.85 & 13.9301 & 0.919879 \tabularnewline
197 & 14.75 & 12.7869 & 1.96306 \tabularnewline
198 & 14.1 & 11.9464 & 2.15365 \tabularnewline
199 & 14.9 & 12.4707 & 2.42925 \tabularnewline
200 & 16.25 & 12.6049 & 3.64514 \tabularnewline
201 & 19.25 & 12.9666 & 6.28338 \tabularnewline
202 & 13.6 & 12.5894 & 1.01057 \tabularnewline
203 & 13.6 & 12.3865 & 1.21354 \tabularnewline
204 & 15.65 & 13.7098 & 1.94022 \tabularnewline
205 & 12.75 & 13.4025 & -0.652541 \tabularnewline
206 & 14.6 & 13.6256 & 0.974371 \tabularnewline
207 & 9.85 & 12.3724 & -2.52236 \tabularnewline
208 & 12.65 & 13.1614 & -0.511368 \tabularnewline
209 & 19.2 & 11.7074 & 7.49264 \tabularnewline
210 & 16.6 & 13.2603 & 3.33968 \tabularnewline
211 & 11.2 & 13.6247 & -2.42465 \tabularnewline
212 & 15.25 & 13.0515 & 2.19845 \tabularnewline
213 & 11.9 & 12.082 & -0.182012 \tabularnewline
214 & 13.2 & 12.1781 & 1.02186 \tabularnewline
215 & 16.35 & 12.8246 & 3.52541 \tabularnewline
216 & 12.4 & 11.4134 & 0.986639 \tabularnewline
217 & 15.85 & 12.9903 & 2.85971 \tabularnewline
218 & 18.15 & 13.7735 & 4.3765 \tabularnewline
219 & 11.15 & 13.0466 & -1.89663 \tabularnewline
220 & 15.65 & 13.3384 & 2.3116 \tabularnewline
221 & 17.75 & 12.2894 & 5.46064 \tabularnewline
222 & 7.65 & 12.6181 & -4.9681 \tabularnewline
223 & 12.35 & 13.3283 & -0.978259 \tabularnewline
224 & 15.6 & 12.5866 & 3.0134 \tabularnewline
225 & 19.3 & 14.2143 & 5.08569 \tabularnewline
226 & 15.2 & 13.0271 & 2.17293 \tabularnewline
227 & 17.1 & 13.0462 & 4.0538 \tabularnewline
228 & 15.6 & 13.8881 & 1.71189 \tabularnewline
229 & 18.4 & 13.4627 & 4.93735 \tabularnewline
230 & 19.05 & 13.233 & 5.81701 \tabularnewline
231 & 18.55 & 11.8191 & 6.73094 \tabularnewline
232 & 19.1 & 13.2136 & 5.88638 \tabularnewline
233 & 13.1 & 13.4542 & -0.354208 \tabularnewline
234 & 12.85 & 13.5318 & -0.68179 \tabularnewline
235 & 9.5 & 11.8224 & -2.32244 \tabularnewline
236 & 4.5 & 13.5505 & -9.05054 \tabularnewline
237 & 11.85 & 12.383 & -0.533044 \tabularnewline
238 & 13.6 & 12.5154 & 1.08455 \tabularnewline
239 & 11.7 & 11.7937 & -0.093669 \tabularnewline
240 & 12.4 & 12.5507 & -0.15073 \tabularnewline
241 & 13.35 & 13.4542 & -0.104208 \tabularnewline
242 & 11.4 & 11.8927 & -0.492694 \tabularnewline
243 & 14.9 & 13.1393 & 1.76074 \tabularnewline
244 & 19.9 & 14.1443 & 5.75569 \tabularnewline
245 & 11.2 & 13.124 & -1.924 \tabularnewline
246 & 14.6 & 12.8032 & 1.79683 \tabularnewline
247 & 17.6 & 12.6824 & 4.91756 \tabularnewline
248 & 14.05 & 13.0242 & 1.02579 \tabularnewline
249 & 16.1 & 12.416 & 3.68404 \tabularnewline
250 & 13.35 & 12.8253 & 0.524735 \tabularnewline
251 & 11.85 & 12.3476 & -0.497618 \tabularnewline
252 & 11.95 & 13.2281 & -1.27806 \tabularnewline
253 & 14.75 & 13.8076 & 0.942396 \tabularnewline
254 & 15.15 & 12.1098 & 3.04017 \tabularnewline
255 & 13.2 & 13.4854 & -0.285372 \tabularnewline
256 & 16.85 & 13.5039 & 3.34615 \tabularnewline
257 & 7.85 & 13.4802 & -5.63016 \tabularnewline
258 & 7.7 & 13.2461 & -5.54614 \tabularnewline
259 & 12.6 & 12.5685 & 0.0315355 \tabularnewline
260 & 7.85 & 11.8318 & -3.98179 \tabularnewline
261 & 10.95 & 13.2295 & -2.27951 \tabularnewline
262 & 12.35 & 13.5326 & -1.18262 \tabularnewline
263 & 9.95 & 12.0833 & -2.1333 \tabularnewline
264 & 14.9 & 13.119 & 1.78098 \tabularnewline
265 & 16.65 & 13.5905 & 3.05946 \tabularnewline
266 & 13.4 & 14.0334 & -0.633409 \tabularnewline
267 & 13.95 & 13.1577 & 0.792324 \tabularnewline
268 & 15.7 & 11.6342 & 4.06577 \tabularnewline
269 & 16.85 & 13.7352 & 3.11479 \tabularnewline
270 & 10.95 & 13.7485 & -2.79848 \tabularnewline
271 & 15.35 & 12.3507 & 2.99929 \tabularnewline
272 & 12.2 & 13.7201 & -1.52006 \tabularnewline
273 & 15.1 & 11.9023 & 3.19769 \tabularnewline
274 & 17.75 & 13.26 & 4.49001 \tabularnewline
275 & 15.2 & 12.9563 & 2.24366 \tabularnewline
276 & 14.6 & 13.3943 & 1.20566 \tabularnewline
277 & 16.65 & 13.0574 & 3.59257 \tabularnewline
278 & 8.1 & 12.8051 & -4.70511 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268355&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]12.9[/C][C]13.0372[/C][C]-0.137222[/C][/ROW]
[ROW][C]2[/C][C]12.2[/C][C]12.7595[/C][C]-0.5595[/C][/ROW]
[ROW][C]3[/C][C]12.8[/C][C]13.2821[/C][C]-0.482087[/C][/ROW]
[ROW][C]4[/C][C]7.4[/C][C]12.2824[/C][C]-4.88237[/C][/ROW]
[ROW][C]5[/C][C]6.7[/C][C]12.1619[/C][C]-5.46185[/C][/ROW]
[ROW][C]6[/C][C]12.6[/C][C]11.7198[/C][C]0.880198[/C][/ROW]
[ROW][C]7[/C][C]14.8[/C][C]13.6667[/C][C]1.13328[/C][/ROW]
[ROW][C]8[/C][C]13.3[/C][C]13.3237[/C][C]-0.0236619[/C][/ROW]
[ROW][C]9[/C][C]11.1[/C][C]12.354[/C][C]-1.25401[/C][/ROW]
[ROW][C]10[/C][C]8.2[/C][C]12.8093[/C][C]-4.60934[/C][/ROW]
[ROW][C]11[/C][C]11.4[/C][C]13.2735[/C][C]-1.87354[/C][/ROW]
[ROW][C]12[/C][C]6.4[/C][C]12.502[/C][C]-6.10199[/C][/ROW]
[ROW][C]13[/C][C]10.6[/C][C]12.6522[/C][C]-2.05217[/C][/ROW]
[ROW][C]14[/C][C]12[/C][C]12.7868[/C][C]-0.786793[/C][/ROW]
[ROW][C]15[/C][C]6.3[/C][C]12.6325[/C][C]-6.33251[/C][/ROW]
[ROW][C]16[/C][C]11.3[/C][C]12.6804[/C][C]-1.38039[/C][/ROW]
[ROW][C]17[/C][C]11.9[/C][C]13.0058[/C][C]-1.10583[/C][/ROW]
[ROW][C]18[/C][C]9.3[/C][C]12.3482[/C][C]-3.04817[/C][/ROW]
[ROW][C]19[/C][C]9.6[/C][C]12.3561[/C][C]-2.75609[/C][/ROW]
[ROW][C]20[/C][C]10[/C][C]12.0802[/C][C]-2.08016[/C][/ROW]
[ROW][C]21[/C][C]6.4[/C][C]13.0044[/C][C]-6.60435[/C][/ROW]
[ROW][C]22[/C][C]13.8[/C][C]12.5526[/C][C]1.24741[/C][/ROW]
[ROW][C]23[/C][C]10.8[/C][C]12.3644[/C][C]-1.56439[/C][/ROW]
[ROW][C]24[/C][C]13.8[/C][C]12.785[/C][C]1.01503[/C][/ROW]
[ROW][C]25[/C][C]11.7[/C][C]13.8074[/C][C]-2.10743[/C][/ROW]
[ROW][C]26[/C][C]10.9[/C][C]12.2677[/C][C]-1.36767[/C][/ROW]
[ROW][C]27[/C][C]16.1[/C][C]12.728[/C][C]3.37199[/C][/ROW]
[ROW][C]28[/C][C]13.4[/C][C]13.2449[/C][C]0.155103[/C][/ROW]
[ROW][C]29[/C][C]9.9[/C][C]13.7952[/C][C]-3.89518[/C][/ROW]
[ROW][C]30[/C][C]11.5[/C][C]13.4018[/C][C]-1.90181[/C][/ROW]
[ROW][C]31[/C][C]8.3[/C][C]12.3348[/C][C]-4.03475[/C][/ROW]
[ROW][C]32[/C][C]11.7[/C][C]12.1603[/C][C]-0.460334[/C][/ROW]
[ROW][C]33[/C][C]9[/C][C]13.3991[/C][C]-4.3991[/C][/ROW]
[ROW][C]34[/C][C]9.7[/C][C]13.3252[/C][C]-3.62517[/C][/ROW]
[ROW][C]35[/C][C]10.8[/C][C]13.7079[/C][C]-2.90792[/C][/ROW]
[ROW][C]36[/C][C]10.3[/C][C]14.2752[/C][C]-3.97522[/C][/ROW]
[ROW][C]37[/C][C]10.4[/C][C]12.5107[/C][C]-2.11073[/C][/ROW]
[ROW][C]38[/C][C]12.7[/C][C]12.6343[/C][C]0.0656546[/C][/ROW]
[ROW][C]39[/C][C]9.3[/C][C]13.4238[/C][C]-4.12376[/C][/ROW]
[ROW][C]40[/C][C]11.8[/C][C]13.26[/C][C]-1.45999[/C][/ROW]
[ROW][C]41[/C][C]5.9[/C][C]13.4776[/C][C]-7.57755[/C][/ROW]
[ROW][C]42[/C][C]11.4[/C][C]13.5513[/C][C]-2.15132[/C][/ROW]
[ROW][C]43[/C][C]13[/C][C]12.8319[/C][C]0.168062[/C][/ROW]
[ROW][C]44[/C][C]10.8[/C][C]13.8239[/C][C]-3.02394[/C][/ROW]
[ROW][C]45[/C][C]12.3[/C][C]13.1454[/C][C]-0.845365[/C][/ROW]
[ROW][C]46[/C][C]11.3[/C][C]13.4627[/C][C]-2.16265[/C][/ROW]
[ROW][C]47[/C][C]11.8[/C][C]11.936[/C][C]-0.136013[/C][/ROW]
[ROW][C]48[/C][C]7.9[/C][C]12.444[/C][C]-4.544[/C][/ROW]
[ROW][C]49[/C][C]12.7[/C][C]11.3257[/C][C]1.37431[/C][/ROW]
[ROW][C]50[/C][C]12.3[/C][C]13.5714[/C][C]-1.27139[/C][/ROW]
[ROW][C]51[/C][C]11.6[/C][C]13.9664[/C][C]-2.36639[/C][/ROW]
[ROW][C]52[/C][C]6.7[/C][C]12.4547[/C][C]-5.75465[/C][/ROW]
[ROW][C]53[/C][C]10.9[/C][C]13.6535[/C][C]-2.7535[/C][/ROW]
[ROW][C]54[/C][C]12.1[/C][C]12.3315[/C][C]-0.231465[/C][/ROW]
[ROW][C]55[/C][C]13.3[/C][C]12.7861[/C][C]0.513885[/C][/ROW]
[ROW][C]56[/C][C]10.1[/C][C]13.6517[/C][C]-3.55172[/C][/ROW]
[ROW][C]57[/C][C]5.7[/C][C]13.5867[/C][C]-7.88674[/C][/ROW]
[ROW][C]58[/C][C]14.3[/C][C]11.6471[/C][C]2.65293[/C][/ROW]
[ROW][C]59[/C][C]8[/C][C]12.4383[/C][C]-4.43829[/C][/ROW]
[ROW][C]60[/C][C]13.3[/C][C]13.0945[/C][C]0.205455[/C][/ROW]
[ROW][C]61[/C][C]9.3[/C][C]13.6067[/C][C]-4.30673[/C][/ROW]
[ROW][C]62[/C][C]12.5[/C][C]11.9263[/C][C]0.573681[/C][/ROW]
[ROW][C]63[/C][C]7.6[/C][C]14.0635[/C][C]-6.4635[/C][/ROW]
[ROW][C]64[/C][C]15.9[/C][C]13.4847[/C][C]2.41525[/C][/ROW]
[ROW][C]65[/C][C]9.2[/C][C]12.1671[/C][C]-2.96708[/C][/ROW]
[ROW][C]66[/C][C]9.1[/C][C]13.803[/C][C]-4.70298[/C][/ROW]
[ROW][C]67[/C][C]11.1[/C][C]13.3742[/C][C]-2.27415[/C][/ROW]
[ROW][C]68[/C][C]13[/C][C]13.436[/C][C]-0.436005[/C][/ROW]
[ROW][C]69[/C][C]14.5[/C][C]13.9407[/C][C]0.559322[/C][/ROW]
[ROW][C]70[/C][C]12.2[/C][C]12.511[/C][C]-0.311016[/C][/ROW]
[ROW][C]71[/C][C]12.3[/C][C]12.4513[/C][C]-0.151311[/C][/ROW]
[ROW][C]72[/C][C]11.4[/C][C]13.1056[/C][C]-1.70556[/C][/ROW]
[ROW][C]73[/C][C]8.8[/C][C]12.7914[/C][C]-3.99138[/C][/ROW]
[ROW][C]74[/C][C]14.6[/C][C]13.2847[/C][C]1.31534[/C][/ROW]
[ROW][C]75[/C][C]12.6[/C][C]12.2882[/C][C]0.311753[/C][/ROW]
[ROW][C]76[/C][C]13[/C][C]12.1653[/C][C]0.834681[/C][/ROW]
[ROW][C]77[/C][C]12.6[/C][C]13.3622[/C][C]-0.762171[/C][/ROW]
[ROW][C]78[/C][C]13.2[/C][C]12.9095[/C][C]0.29048[/C][/ROW]
[ROW][C]79[/C][C]9.9[/C][C]12.3589[/C][C]-2.4589[/C][/ROW]
[ROW][C]80[/C][C]7.7[/C][C]12.1955[/C][C]-4.49555[/C][/ROW]
[ROW][C]81[/C][C]10.5[/C][C]12.5991[/C][C]-2.09913[/C][/ROW]
[ROW][C]82[/C][C]13.4[/C][C]12.0899[/C][C]1.31007[/C][/ROW]
[ROW][C]83[/C][C]10.9[/C][C]13.2559[/C][C]-2.35589[/C][/ROW]
[ROW][C]84[/C][C]4.3[/C][C]12.7248[/C][C]-8.42478[/C][/ROW]
[ROW][C]85[/C][C]10.3[/C][C]12.8461[/C][C]-2.5461[/C][/ROW]
[ROW][C]86[/C][C]11.8[/C][C]12.6081[/C][C]-0.808078[/C][/ROW]
[ROW][C]87[/C][C]11.2[/C][C]13.0405[/C][C]-1.84047[/C][/ROW]
[ROW][C]88[/C][C]11.4[/C][C]13.6256[/C][C]-2.22563[/C][/ROW]
[ROW][C]89[/C][C]8.6[/C][C]13.4962[/C][C]-4.8962[/C][/ROW]
[ROW][C]90[/C][C]13.2[/C][C]11.8005[/C][C]1.39948[/C][/ROW]
[ROW][C]91[/C][C]12.6[/C][C]13.2657[/C][C]-0.665747[/C][/ROW]
[ROW][C]92[/C][C]5.6[/C][C]12.945[/C][C]-7.34501[/C][/ROW]
[ROW][C]93[/C][C]9.9[/C][C]11.8513[/C][C]-1.95131[/C][/ROW]
[ROW][C]94[/C][C]8.8[/C][C]12.8665[/C][C]-4.06655[/C][/ROW]
[ROW][C]95[/C][C]7.7[/C][C]11.9518[/C][C]-4.25179[/C][/ROW]
[ROW][C]96[/C][C]9[/C][C]11.7272[/C][C]-2.72725[/C][/ROW]
[ROW][C]97[/C][C]7.3[/C][C]12.4835[/C][C]-5.18345[/C][/ROW]
[ROW][C]98[/C][C]11.4[/C][C]13.6829[/C][C]-2.28287[/C][/ROW]
[ROW][C]99[/C][C]13.6[/C][C]13.1876[/C][C]0.412447[/C][/ROW]
[ROW][C]100[/C][C]7.9[/C][C]13.353[/C][C]-5.453[/C][/ROW]
[ROW][C]101[/C][C]10.7[/C][C]13.3447[/C][C]-2.6447[/C][/ROW]
[ROW][C]102[/C][C]10.3[/C][C]13.8432[/C][C]-3.54319[/C][/ROW]
[ROW][C]103[/C][C]8.3[/C][C]11.685[/C][C]-3.385[/C][/ROW]
[ROW][C]104[/C][C]9.6[/C][C]12.2015[/C][C]-2.60149[/C][/ROW]
[ROW][C]105[/C][C]14.2[/C][C]12.3027[/C][C]1.8973[/C][/ROW]
[ROW][C]106[/C][C]8.5[/C][C]12.0165[/C][C]-3.51655[/C][/ROW]
[ROW][C]107[/C][C]13.5[/C][C]11.7916[/C][C]1.70837[/C][/ROW]
[ROW][C]108[/C][C]4.9[/C][C]13.3802[/C][C]-8.48016[/C][/ROW]
[ROW][C]109[/C][C]6.4[/C][C]12.8805[/C][C]-6.48053[/C][/ROW]
[ROW][C]110[/C][C]9.6[/C][C]12.2452[/C][C]-2.64516[/C][/ROW]
[ROW][C]111[/C][C]11.6[/C][C]13.1056[/C][C]-1.50556[/C][/ROW]
[ROW][C]112[/C][C]11.1[/C][C]13.0584[/C][C]-1.95838[/C][/ROW]
[ROW][C]113[/C][C]4.35[/C][C]12.5526[/C][C]-8.20256[/C][/ROW]
[ROW][C]114[/C][C]12.7[/C][C]13.8855[/C][C]-1.18551[/C][/ROW]
[ROW][C]115[/C][C]18.1[/C][C]13.399[/C][C]4.70103[/C][/ROW]
[ROW][C]116[/C][C]17.85[/C][C]14.4494[/C][C]3.40061[/C][/ROW]
[ROW][C]117[/C][C]16.6[/C][C]13.7155[/C][C]2.88453[/C][/ROW]
[ROW][C]118[/C][C]12.6[/C][C]12.2984[/C][C]0.301581[/C][/ROW]
[ROW][C]119[/C][C]17.1[/C][C]13.5031[/C][C]3.59695[/C][/ROW]
[ROW][C]120[/C][C]19.1[/C][C]13.9143[/C][C]5.18572[/C][/ROW]
[ROW][C]121[/C][C]16.1[/C][C]13.0341[/C][C]3.06592[/C][/ROW]
[ROW][C]122[/C][C]13.35[/C][C]12.371[/C][C]0.978963[/C][/ROW]
[ROW][C]123[/C][C]18.4[/C][C]13.1454[/C][C]5.25463[/C][/ROW]
[ROW][C]124[/C][C]14.7[/C][C]13.5285[/C][C]1.17148[/C][/ROW]
[ROW][C]125[/C][C]10.6[/C][C]13.325[/C][C]-2.72503[/C][/ROW]
[ROW][C]126[/C][C]12.6[/C][C]11.9577[/C][C]0.642339[/C][/ROW]
[ROW][C]127[/C][C]16.2[/C][C]12.0997[/C][C]4.10031[/C][/ROW]
[ROW][C]128[/C][C]13.6[/C][C]12.4394[/C][C]1.16062[/C][/ROW]
[ROW][C]129[/C][C]18.9[/C][C]13.0099[/C][C]5.89007[/C][/ROW]
[ROW][C]130[/C][C]14.1[/C][C]13.4433[/C][C]0.65671[/C][/ROW]
[ROW][C]131[/C][C]14.5[/C][C]14.3033[/C][C]0.196724[/C][/ROW]
[ROW][C]132[/C][C]16.15[/C][C]12.5677[/C][C]3.58232[/C][/ROW]
[ROW][C]133[/C][C]14.75[/C][C]13.3771[/C][C]1.37285[/C][/ROW]
[ROW][C]134[/C][C]14.8[/C][C]13.2016[/C][C]1.59838[/C][/ROW]
[ROW][C]135[/C][C]12.45[/C][C]13.7847[/C][C]-1.33467[/C][/ROW]
[ROW][C]136[/C][C]12.65[/C][C]12.9325[/C][C]-0.282501[/C][/ROW]
[ROW][C]137[/C][C]17.35[/C][C]13.7884[/C][C]3.5616[/C][/ROW]
[ROW][C]138[/C][C]8.6[/C][C]13.6127[/C][C]-5.01267[/C][/ROW]
[ROW][C]139[/C][C]18.4[/C][C]13.1379[/C][C]5.26206[/C][/ROW]
[ROW][C]140[/C][C]16.1[/C][C]13.455[/C][C]2.64497[/C][/ROW]
[ROW][C]141[/C][C]11.6[/C][C]13.6752[/C][C]-2.07522[/C][/ROW]
[ROW][C]142[/C][C]17.75[/C][C]13.2204[/C][C]4.52963[/C][/ROW]
[ROW][C]143[/C][C]15.25[/C][C]11.7802[/C][C]3.46982[/C][/ROW]
[ROW][C]144[/C][C]17.65[/C][C]13.5446[/C][C]4.10543[/C][/ROW]
[ROW][C]145[/C][C]16.35[/C][C]12.5593[/C][C]3.79069[/C][/ROW]
[ROW][C]146[/C][C]17.65[/C][C]13.1242[/C][C]4.52579[/C][/ROW]
[ROW][C]147[/C][C]13.6[/C][C]12.2821[/C][C]1.31788[/C][/ROW]
[ROW][C]148[/C][C]14.35[/C][C]12.5878[/C][C]1.7622[/C][/ROW]
[ROW][C]149[/C][C]14.75[/C][C]12.0349[/C][C]2.71514[/C][/ROW]
[ROW][C]150[/C][C]18.25[/C][C]14.1371[/C][C]4.1129[/C][/ROW]
[ROW][C]151[/C][C]9.9[/C][C]12.3206[/C][C]-2.42062[/C][/ROW]
[ROW][C]152[/C][C]16[/C][C]13.7772[/C][C]2.22275[/C][/ROW]
[ROW][C]153[/C][C]18.25[/C][C]13.428[/C][C]4.82196[/C][/ROW]
[ROW][C]154[/C][C]16.85[/C][C]12.081[/C][C]4.76896[/C][/ROW]
[ROW][C]155[/C][C]14.6[/C][C]13.8981[/C][C]0.701946[/C][/ROW]
[ROW][C]156[/C][C]13.85[/C][C]12.3435[/C][C]1.50648[/C][/ROW]
[ROW][C]157[/C][C]18.95[/C][C]14.1581[/C][C]4.79193[/C][/ROW]
[ROW][C]158[/C][C]15.6[/C][C]13.1554[/C][C]2.44459[/C][/ROW]
[ROW][C]159[/C][C]14.85[/C][C]13.0336[/C][C]1.81636[/C][/ROW]
[ROW][C]160[/C][C]11.75[/C][C]13.6227[/C][C]-1.87268[/C][/ROW]
[ROW][C]161[/C][C]18.45[/C][C]13.6659[/C][C]4.78415[/C][/ROW]
[ROW][C]162[/C][C]15.9[/C][C]13.471[/C][C]2.42902[/C][/ROW]
[ROW][C]163[/C][C]17.1[/C][C]13.8953[/C][C]3.2047[/C][/ROW]
[ROW][C]164[/C][C]16.1[/C][C]13.9664[/C][C]2.13361[/C][/ROW]
[ROW][C]165[/C][C]19.9[/C][C]14.1679[/C][C]5.73208[/C][/ROW]
[ROW][C]166[/C][C]10.95[/C][C]13.216[/C][C]-2.26602[/C][/ROW]
[ROW][C]167[/C][C]18.45[/C][C]13.1849[/C][C]5.26509[/C][/ROW]
[ROW][C]168[/C][C]15.1[/C][C]14.5015[/C][C]0.598496[/C][/ROW]
[ROW][C]169[/C][C]15[/C][C]13.5606[/C][C]1.43944[/C][/ROW]
[ROW][C]170[/C][C]11.35[/C][C]13.3731[/C][C]-2.02306[/C][/ROW]
[ROW][C]171[/C][C]15.95[/C][C]13.4287[/C][C]2.52126[/C][/ROW]
[ROW][C]172[/C][C]18.1[/C][C]12.7485[/C][C]5.3515[/C][/ROW]
[ROW][C]173[/C][C]14.6[/C][C]13.7989[/C][C]0.801149[/C][/ROW]
[ROW][C]174[/C][C]15.4[/C][C]13.7066[/C][C]1.69343[/C][/ROW]
[ROW][C]175[/C][C]15.4[/C][C]13.7066[/C][C]1.69343[/C][/ROW]
[ROW][C]176[/C][C]17.6[/C][C]12.8507[/C][C]4.74934[/C][/ROW]
[ROW][C]177[/C][C]13.35[/C][C]12.9402[/C][C]0.409777[/C][/ROW]
[ROW][C]178[/C][C]19.1[/C][C]11.849[/C][C]7.25098[/C][/ROW]
[ROW][C]179[/C][C]15.35[/C][C]12.875[/C][C]2.47498[/C][/ROW]
[ROW][C]180[/C][C]7.6[/C][C]12.5888[/C][C]-4.98879[/C][/ROW]
[ROW][C]181[/C][C]13.4[/C][C]13.137[/C][C]0.263009[/C][/ROW]
[ROW][C]182[/C][C]13.9[/C][C]12.5457[/C][C]1.35435[/C][/ROW]
[ROW][C]183[/C][C]19.1[/C][C]14.0682[/C][C]5.03185[/C][/ROW]
[ROW][C]184[/C][C]15.25[/C][C]12.3137[/C][C]2.93625[/C][/ROW]
[ROW][C]185[/C][C]12.9[/C][C]13.2242[/C][C]-0.324231[/C][/ROW]
[ROW][C]186[/C][C]16.1[/C][C]13.1833[/C][C]2.91674[/C][/ROW]
[ROW][C]187[/C][C]17.35[/C][C]13.1866[/C][C]4.16336[/C][/ROW]
[ROW][C]188[/C][C]13.15[/C][C]13.1934[/C][C]-0.043381[/C][/ROW]
[ROW][C]189[/C][C]12.15[/C][C]13.1579[/C][C]-1.00787[/C][/ROW]
[ROW][C]190[/C][C]12.6[/C][C]11.9218[/C][C]0.678162[/C][/ROW]
[ROW][C]191[/C][C]10.35[/C][C]13.26[/C][C]-2.90999[/C][/ROW]
[ROW][C]192[/C][C]15.4[/C][C]13.1302[/C][C]2.26977[/C][/ROW]
[ROW][C]193[/C][C]9.6[/C][C]13.3589[/C][C]-3.75887[/C][/ROW]
[ROW][C]194[/C][C]18.2[/C][C]12.0928[/C][C]6.10723[/C][/ROW]
[ROW][C]195[/C][C]13.6[/C][C]12.4281[/C][C]1.17193[/C][/ROW]
[ROW][C]196[/C][C]14.85[/C][C]13.9301[/C][C]0.919879[/C][/ROW]
[ROW][C]197[/C][C]14.75[/C][C]12.7869[/C][C]1.96306[/C][/ROW]
[ROW][C]198[/C][C]14.1[/C][C]11.9464[/C][C]2.15365[/C][/ROW]
[ROW][C]199[/C][C]14.9[/C][C]12.4707[/C][C]2.42925[/C][/ROW]
[ROW][C]200[/C][C]16.25[/C][C]12.6049[/C][C]3.64514[/C][/ROW]
[ROW][C]201[/C][C]19.25[/C][C]12.9666[/C][C]6.28338[/C][/ROW]
[ROW][C]202[/C][C]13.6[/C][C]12.5894[/C][C]1.01057[/C][/ROW]
[ROW][C]203[/C][C]13.6[/C][C]12.3865[/C][C]1.21354[/C][/ROW]
[ROW][C]204[/C][C]15.65[/C][C]13.7098[/C][C]1.94022[/C][/ROW]
[ROW][C]205[/C][C]12.75[/C][C]13.4025[/C][C]-0.652541[/C][/ROW]
[ROW][C]206[/C][C]14.6[/C][C]13.6256[/C][C]0.974371[/C][/ROW]
[ROW][C]207[/C][C]9.85[/C][C]12.3724[/C][C]-2.52236[/C][/ROW]
[ROW][C]208[/C][C]12.65[/C][C]13.1614[/C][C]-0.511368[/C][/ROW]
[ROW][C]209[/C][C]19.2[/C][C]11.7074[/C][C]7.49264[/C][/ROW]
[ROW][C]210[/C][C]16.6[/C][C]13.2603[/C][C]3.33968[/C][/ROW]
[ROW][C]211[/C][C]11.2[/C][C]13.6247[/C][C]-2.42465[/C][/ROW]
[ROW][C]212[/C][C]15.25[/C][C]13.0515[/C][C]2.19845[/C][/ROW]
[ROW][C]213[/C][C]11.9[/C][C]12.082[/C][C]-0.182012[/C][/ROW]
[ROW][C]214[/C][C]13.2[/C][C]12.1781[/C][C]1.02186[/C][/ROW]
[ROW][C]215[/C][C]16.35[/C][C]12.8246[/C][C]3.52541[/C][/ROW]
[ROW][C]216[/C][C]12.4[/C][C]11.4134[/C][C]0.986639[/C][/ROW]
[ROW][C]217[/C][C]15.85[/C][C]12.9903[/C][C]2.85971[/C][/ROW]
[ROW][C]218[/C][C]18.15[/C][C]13.7735[/C][C]4.3765[/C][/ROW]
[ROW][C]219[/C][C]11.15[/C][C]13.0466[/C][C]-1.89663[/C][/ROW]
[ROW][C]220[/C][C]15.65[/C][C]13.3384[/C][C]2.3116[/C][/ROW]
[ROW][C]221[/C][C]17.75[/C][C]12.2894[/C][C]5.46064[/C][/ROW]
[ROW][C]222[/C][C]7.65[/C][C]12.6181[/C][C]-4.9681[/C][/ROW]
[ROW][C]223[/C][C]12.35[/C][C]13.3283[/C][C]-0.978259[/C][/ROW]
[ROW][C]224[/C][C]15.6[/C][C]12.5866[/C][C]3.0134[/C][/ROW]
[ROW][C]225[/C][C]19.3[/C][C]14.2143[/C][C]5.08569[/C][/ROW]
[ROW][C]226[/C][C]15.2[/C][C]13.0271[/C][C]2.17293[/C][/ROW]
[ROW][C]227[/C][C]17.1[/C][C]13.0462[/C][C]4.0538[/C][/ROW]
[ROW][C]228[/C][C]15.6[/C][C]13.8881[/C][C]1.71189[/C][/ROW]
[ROW][C]229[/C][C]18.4[/C][C]13.4627[/C][C]4.93735[/C][/ROW]
[ROW][C]230[/C][C]19.05[/C][C]13.233[/C][C]5.81701[/C][/ROW]
[ROW][C]231[/C][C]18.55[/C][C]11.8191[/C][C]6.73094[/C][/ROW]
[ROW][C]232[/C][C]19.1[/C][C]13.2136[/C][C]5.88638[/C][/ROW]
[ROW][C]233[/C][C]13.1[/C][C]13.4542[/C][C]-0.354208[/C][/ROW]
[ROW][C]234[/C][C]12.85[/C][C]13.5318[/C][C]-0.68179[/C][/ROW]
[ROW][C]235[/C][C]9.5[/C][C]11.8224[/C][C]-2.32244[/C][/ROW]
[ROW][C]236[/C][C]4.5[/C][C]13.5505[/C][C]-9.05054[/C][/ROW]
[ROW][C]237[/C][C]11.85[/C][C]12.383[/C][C]-0.533044[/C][/ROW]
[ROW][C]238[/C][C]13.6[/C][C]12.5154[/C][C]1.08455[/C][/ROW]
[ROW][C]239[/C][C]11.7[/C][C]11.7937[/C][C]-0.093669[/C][/ROW]
[ROW][C]240[/C][C]12.4[/C][C]12.5507[/C][C]-0.15073[/C][/ROW]
[ROW][C]241[/C][C]13.35[/C][C]13.4542[/C][C]-0.104208[/C][/ROW]
[ROW][C]242[/C][C]11.4[/C][C]11.8927[/C][C]-0.492694[/C][/ROW]
[ROW][C]243[/C][C]14.9[/C][C]13.1393[/C][C]1.76074[/C][/ROW]
[ROW][C]244[/C][C]19.9[/C][C]14.1443[/C][C]5.75569[/C][/ROW]
[ROW][C]245[/C][C]11.2[/C][C]13.124[/C][C]-1.924[/C][/ROW]
[ROW][C]246[/C][C]14.6[/C][C]12.8032[/C][C]1.79683[/C][/ROW]
[ROW][C]247[/C][C]17.6[/C][C]12.6824[/C][C]4.91756[/C][/ROW]
[ROW][C]248[/C][C]14.05[/C][C]13.0242[/C][C]1.02579[/C][/ROW]
[ROW][C]249[/C][C]16.1[/C][C]12.416[/C][C]3.68404[/C][/ROW]
[ROW][C]250[/C][C]13.35[/C][C]12.8253[/C][C]0.524735[/C][/ROW]
[ROW][C]251[/C][C]11.85[/C][C]12.3476[/C][C]-0.497618[/C][/ROW]
[ROW][C]252[/C][C]11.95[/C][C]13.2281[/C][C]-1.27806[/C][/ROW]
[ROW][C]253[/C][C]14.75[/C][C]13.8076[/C][C]0.942396[/C][/ROW]
[ROW][C]254[/C][C]15.15[/C][C]12.1098[/C][C]3.04017[/C][/ROW]
[ROW][C]255[/C][C]13.2[/C][C]13.4854[/C][C]-0.285372[/C][/ROW]
[ROW][C]256[/C][C]16.85[/C][C]13.5039[/C][C]3.34615[/C][/ROW]
[ROW][C]257[/C][C]7.85[/C][C]13.4802[/C][C]-5.63016[/C][/ROW]
[ROW][C]258[/C][C]7.7[/C][C]13.2461[/C][C]-5.54614[/C][/ROW]
[ROW][C]259[/C][C]12.6[/C][C]12.5685[/C][C]0.0315355[/C][/ROW]
[ROW][C]260[/C][C]7.85[/C][C]11.8318[/C][C]-3.98179[/C][/ROW]
[ROW][C]261[/C][C]10.95[/C][C]13.2295[/C][C]-2.27951[/C][/ROW]
[ROW][C]262[/C][C]12.35[/C][C]13.5326[/C][C]-1.18262[/C][/ROW]
[ROW][C]263[/C][C]9.95[/C][C]12.0833[/C][C]-2.1333[/C][/ROW]
[ROW][C]264[/C][C]14.9[/C][C]13.119[/C][C]1.78098[/C][/ROW]
[ROW][C]265[/C][C]16.65[/C][C]13.5905[/C][C]3.05946[/C][/ROW]
[ROW][C]266[/C][C]13.4[/C][C]14.0334[/C][C]-0.633409[/C][/ROW]
[ROW][C]267[/C][C]13.95[/C][C]13.1577[/C][C]0.792324[/C][/ROW]
[ROW][C]268[/C][C]15.7[/C][C]11.6342[/C][C]4.06577[/C][/ROW]
[ROW][C]269[/C][C]16.85[/C][C]13.7352[/C][C]3.11479[/C][/ROW]
[ROW][C]270[/C][C]10.95[/C][C]13.7485[/C][C]-2.79848[/C][/ROW]
[ROW][C]271[/C][C]15.35[/C][C]12.3507[/C][C]2.99929[/C][/ROW]
[ROW][C]272[/C][C]12.2[/C][C]13.7201[/C][C]-1.52006[/C][/ROW]
[ROW][C]273[/C][C]15.1[/C][C]11.9023[/C][C]3.19769[/C][/ROW]
[ROW][C]274[/C][C]17.75[/C][C]13.26[/C][C]4.49001[/C][/ROW]
[ROW][C]275[/C][C]15.2[/C][C]12.9563[/C][C]2.24366[/C][/ROW]
[ROW][C]276[/C][C]14.6[/C][C]13.3943[/C][C]1.20566[/C][/ROW]
[ROW][C]277[/C][C]16.65[/C][C]13.0574[/C][C]3.59257[/C][/ROW]
[ROW][C]278[/C][C]8.1[/C][C]12.8051[/C][C]-4.70511[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268355&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268355&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	12.9	13.0372	-0.137222
2	12.2	12.7595	-0.5595
3	12.8	13.2821	-0.482087
4	7.4	12.2824	-4.88237
5	6.7	12.1619	-5.46185
6	12.6	11.7198	0.880198
7	14.8	13.6667	1.13328
8	13.3	13.3237	-0.0236619
9	11.1	12.354	-1.25401
10	8.2	12.8093	-4.60934
11	11.4	13.2735	-1.87354
12	6.4	12.502	-6.10199
13	10.6	12.6522	-2.05217
14	12	12.7868	-0.786793
15	6.3	12.6325	-6.33251
16	11.3	12.6804	-1.38039
17	11.9	13.0058	-1.10583
18	9.3	12.3482	-3.04817
19	9.6	12.3561	-2.75609
20	10	12.0802	-2.08016
21	6.4	13.0044	-6.60435
22	13.8	12.5526	1.24741
23	10.8	12.3644	-1.56439
24	13.8	12.785	1.01503
25	11.7	13.8074	-2.10743
26	10.9	12.2677	-1.36767
27	16.1	12.728	3.37199
28	13.4	13.2449	0.155103
29	9.9	13.7952	-3.89518
30	11.5	13.4018	-1.90181
31	8.3	12.3348	-4.03475
32	11.7	12.1603	-0.460334
33	9	13.3991	-4.3991
34	9.7	13.3252	-3.62517
35	10.8	13.7079	-2.90792
36	10.3	14.2752	-3.97522
37	10.4	12.5107	-2.11073
38	12.7	12.6343	0.0656546
39	9.3	13.4238	-4.12376
40	11.8	13.26	-1.45999
41	5.9	13.4776	-7.57755
42	11.4	13.5513	-2.15132
43	13	12.8319	0.168062
44	10.8	13.8239	-3.02394
45	12.3	13.1454	-0.845365
46	11.3	13.4627	-2.16265
47	11.8	11.936	-0.136013
48	7.9	12.444	-4.544
49	12.7	11.3257	1.37431
50	12.3	13.5714	-1.27139
51	11.6	13.9664	-2.36639
52	6.7	12.4547	-5.75465
53	10.9	13.6535	-2.7535
54	12.1	12.3315	-0.231465
55	13.3	12.7861	0.513885
56	10.1	13.6517	-3.55172
57	5.7	13.5867	-7.88674
58	14.3	11.6471	2.65293
59	8	12.4383	-4.43829
60	13.3	13.0945	0.205455
61	9.3	13.6067	-4.30673
62	12.5	11.9263	0.573681
63	7.6	14.0635	-6.4635
64	15.9	13.4847	2.41525
65	9.2	12.1671	-2.96708
66	9.1	13.803	-4.70298
67	11.1	13.3742	-2.27415
68	13	13.436	-0.436005
69	14.5	13.9407	0.559322
70	12.2	12.511	-0.311016
71	12.3	12.4513	-0.151311
72	11.4	13.1056	-1.70556
73	8.8	12.7914	-3.99138
74	14.6	13.2847	1.31534
75	12.6	12.2882	0.311753
76	13	12.1653	0.834681
77	12.6	13.3622	-0.762171
78	13.2	12.9095	0.29048
79	9.9	12.3589	-2.4589
80	7.7	12.1955	-4.49555
81	10.5	12.5991	-2.09913
82	13.4	12.0899	1.31007
83	10.9	13.2559	-2.35589
84	4.3	12.7248	-8.42478
85	10.3	12.8461	-2.5461
86	11.8	12.6081	-0.808078
87	11.2	13.0405	-1.84047
88	11.4	13.6256	-2.22563
89	8.6	13.4962	-4.8962
90	13.2	11.8005	1.39948
91	12.6	13.2657	-0.665747
92	5.6	12.945	-7.34501
93	9.9	11.8513	-1.95131
94	8.8	12.8665	-4.06655
95	7.7	11.9518	-4.25179
96	9	11.7272	-2.72725
97	7.3	12.4835	-5.18345
98	11.4	13.6829	-2.28287
99	13.6	13.1876	0.412447
100	7.9	13.353	-5.453
101	10.7	13.3447	-2.6447
102	10.3	13.8432	-3.54319
103	8.3	11.685	-3.385
104	9.6	12.2015	-2.60149
105	14.2	12.3027	1.8973
106	8.5	12.0165	-3.51655
107	13.5	11.7916	1.70837
108	4.9	13.3802	-8.48016
109	6.4	12.8805	-6.48053
110	9.6	12.2452	-2.64516
111	11.6	13.1056	-1.50556
112	11.1	13.0584	-1.95838
113	4.35	12.5526	-8.20256
114	12.7	13.8855	-1.18551
115	18.1	13.399	4.70103
116	17.85	14.4494	3.40061
117	16.6	13.7155	2.88453
118	12.6	12.2984	0.301581
119	17.1	13.5031	3.59695
120	19.1	13.9143	5.18572
121	16.1	13.0341	3.06592
122	13.35	12.371	0.978963
123	18.4	13.1454	5.25463
124	14.7	13.5285	1.17148
125	10.6	13.325	-2.72503
126	12.6	11.9577	0.642339
127	16.2	12.0997	4.10031
128	13.6	12.4394	1.16062
129	18.9	13.0099	5.89007
130	14.1	13.4433	0.65671
131	14.5	14.3033	0.196724
132	16.15	12.5677	3.58232
133	14.75	13.3771	1.37285
134	14.8	13.2016	1.59838
135	12.45	13.7847	-1.33467
136	12.65	12.9325	-0.282501
137	17.35	13.7884	3.5616
138	8.6	13.6127	-5.01267
139	18.4	13.1379	5.26206
140	16.1	13.455	2.64497
141	11.6	13.6752	-2.07522
142	17.75	13.2204	4.52963
143	15.25	11.7802	3.46982
144	17.65	13.5446	4.10543
145	16.35	12.5593	3.79069
146	17.65	13.1242	4.52579
147	13.6	12.2821	1.31788
148	14.35	12.5878	1.7622
149	14.75	12.0349	2.71514
150	18.25	14.1371	4.1129
151	9.9	12.3206	-2.42062
152	16	13.7772	2.22275
153	18.25	13.428	4.82196
154	16.85	12.081	4.76896
155	14.6	13.8981	0.701946
156	13.85	12.3435	1.50648
157	18.95	14.1581	4.79193
158	15.6	13.1554	2.44459
159	14.85	13.0336	1.81636
160	11.75	13.6227	-1.87268
161	18.45	13.6659	4.78415
162	15.9	13.471	2.42902
163	17.1	13.8953	3.2047
164	16.1	13.9664	2.13361
165	19.9	14.1679	5.73208
166	10.95	13.216	-2.26602
167	18.45	13.1849	5.26509
168	15.1	14.5015	0.598496
169	15	13.5606	1.43944
170	11.35	13.3731	-2.02306
171	15.95	13.4287	2.52126
172	18.1	12.7485	5.3515
173	14.6	13.7989	0.801149
174	15.4	13.7066	1.69343
175	15.4	13.7066	1.69343
176	17.6	12.8507	4.74934
177	13.35	12.9402	0.409777
178	19.1	11.849	7.25098
179	15.35	12.875	2.47498
180	7.6	12.5888	-4.98879
181	13.4	13.137	0.263009
182	13.9	12.5457	1.35435
183	19.1	14.0682	5.03185
184	15.25	12.3137	2.93625
185	12.9	13.2242	-0.324231
186	16.1	13.1833	2.91674
187	17.35	13.1866	4.16336
188	13.15	13.1934	-0.043381
189	12.15	13.1579	-1.00787
190	12.6	11.9218	0.678162
191	10.35	13.26	-2.90999
192	15.4	13.1302	2.26977
193	9.6	13.3589	-3.75887
194	18.2	12.0928	6.10723
195	13.6	12.4281	1.17193
196	14.85	13.9301	0.919879
197	14.75	12.7869	1.96306
198	14.1	11.9464	2.15365
199	14.9	12.4707	2.42925
200	16.25	12.6049	3.64514
201	19.25	12.9666	6.28338
202	13.6	12.5894	1.01057
203	13.6	12.3865	1.21354
204	15.65	13.7098	1.94022
205	12.75	13.4025	-0.652541
206	14.6	13.6256	0.974371
207	9.85	12.3724	-2.52236
208	12.65	13.1614	-0.511368
209	19.2	11.7074	7.49264
210	16.6	13.2603	3.33968
211	11.2	13.6247	-2.42465
212	15.25	13.0515	2.19845
213	11.9	12.082	-0.182012
214	13.2	12.1781	1.02186
215	16.35	12.8246	3.52541
216	12.4	11.4134	0.986639
217	15.85	12.9903	2.85971
218	18.15	13.7735	4.3765
219	11.15	13.0466	-1.89663
220	15.65	13.3384	2.3116
221	17.75	12.2894	5.46064
222	7.65	12.6181	-4.9681
223	12.35	13.3283	-0.978259
224	15.6	12.5866	3.0134
225	19.3	14.2143	5.08569
226	15.2	13.0271	2.17293
227	17.1	13.0462	4.0538
228	15.6	13.8881	1.71189
229	18.4	13.4627	4.93735
230	19.05	13.233	5.81701
231	18.55	11.8191	6.73094
232	19.1	13.2136	5.88638
233	13.1	13.4542	-0.354208
234	12.85	13.5318	-0.68179
235	9.5	11.8224	-2.32244
236	4.5	13.5505	-9.05054
237	11.85	12.383	-0.533044
238	13.6	12.5154	1.08455
239	11.7	11.7937	-0.093669
240	12.4	12.5507	-0.15073
241	13.35	13.4542	-0.104208
242	11.4	11.8927	-0.492694
243	14.9	13.1393	1.76074
244	19.9	14.1443	5.75569
245	11.2	13.124	-1.924
246	14.6	12.8032	1.79683
247	17.6	12.6824	4.91756
248	14.05	13.0242	1.02579
249	16.1	12.416	3.68404
250	13.35	12.8253	0.524735
251	11.85	12.3476	-0.497618
252	11.95	13.2281	-1.27806
253	14.75	13.8076	0.942396
254	15.15	12.1098	3.04017
255	13.2	13.4854	-0.285372
256	16.85	13.5039	3.34615
257	7.85	13.4802	-5.63016
258	7.7	13.2461	-5.54614
259	12.6	12.5685	0.0315355
260	7.85	11.8318	-3.98179
261	10.95	13.2295	-2.27951
262	12.35	13.5326	-1.18262
263	9.95	12.0833	-2.1333
264	14.9	13.119	1.78098
265	16.65	13.5905	3.05946
266	13.4	14.0334	-0.633409
267	13.95	13.1577	0.792324
268	15.7	11.6342	4.06577
269	16.85	13.7352	3.11479
270	10.95	13.7485	-2.79848
271	15.35	12.3507	2.99929
272	12.2	13.7201	-1.52006
273	15.1	11.9023	3.19769
274	17.75	13.26	4.49001
275	15.2	12.9563	2.24366
276	14.6	13.3943	1.20566
277	16.65	13.0574	3.59257
278	8.1	12.8051	-4.70511

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
11	0.440582	0.881164	0.559418
12	0.426709	0.853417	0.573291
13	0.3414	0.6828	0.6586
14	0.239413	0.478827	0.760587
15	0.275521	0.551043	0.724479
16	0.254326	0.508652	0.745674
17	0.198781	0.397562	0.801219
18	0.135871	0.271743	0.864129
19	0.0951754	0.190351	0.904825
20	0.060987	0.121974	0.939013
21	0.0813449	0.16269	0.918655
22	0.0548749	0.10975	0.945125
23	0.0349199	0.0698398	0.96508
24	0.0402049	0.0804098	0.959795
25	0.0282107	0.0564214	0.971789
26	0.0266885	0.053377	0.973312
27	0.0385205	0.0770409	0.96148
28	0.0262495	0.052499	0.97375
29	0.0245523	0.0491046	0.975448
30	0.0168543	0.0337086	0.983146
31	0.0197559	0.0395119	0.980244
32	0.0148685	0.029737	0.985131
33	0.0186745	0.0373491	0.981325
34	0.0139303	0.0278605	0.98607
35	0.0109467	0.0218935	0.989053
36	0.00802669	0.0160534	0.991973
37	0.00689439	0.0137888	0.993106
38	0.00494566	0.00989131	0.995054
39	0.00452027	0.00904055	0.99548
40	0.00305632	0.00611263	0.996944
41	0.0069575	0.013915	0.993042
42	0.00479708	0.00959417	0.995203
43	0.0041571	0.0083142	0.995843
44	0.0028756	0.00575121	0.997124
45	0.00190706	0.00381413	0.998093
46	0.00132976	0.00265953	0.99867
47	0.000852092	0.00170418	0.999148
48	0.000878789	0.00175758	0.999121
49	0.000961072	0.00192214	0.999039
50	0.000720575	0.00144115	0.999279
51	0.000526119	0.00105224	0.999474
52	0.00115277	0.00230554	0.998847
53	0.000786762	0.00157352	0.999213
54	0.000651729	0.00130346	0.999348
55	0.000883527	0.00176705	0.999116
56	0.000681187	0.00136237	0.999319
57	0.00276101	0.00552202	0.997239
58	0.00253906	0.00507813	0.997461
59	0.00203347	0.00406694	0.997967
60	0.00165995	0.0033199	0.99834
61	0.00149273	0.00298547	0.998507
62	0.00109615	0.00219229	0.998904
63	0.00237644	0.00475288	0.997624
64	0.00441632	0.00883263	0.995584
65	0.0042648	0.00852959	0.995735
66	0.00419694	0.00839388	0.995803
67	0.00323214	0.00646428	0.996768
68	0.00271848	0.00543695	0.997282
69	0.00453382	0.00906765	0.995466
70	0.00377058	0.00754115	0.996229
71	0.00276352	0.00552704	0.997236
72	0.00208601	0.00417202	0.997914
73	0.00218707	0.00437414	0.997813
74	0.0024806	0.00496121	0.997519
75	0.00202107	0.00404213	0.997979
76	0.0015053	0.00301061	0.998495
77	0.00112251	0.00224501	0.998877
78	0.000932898	0.0018658	0.999067
79	0.000702435	0.00140487	0.999298
80	0.000779828	0.00155966	0.99922
81	0.000578552	0.0011571	0.999421
82	0.000528107	0.00105621	0.999472
83	0.00039999	0.00079998	0.9996
84	0.00203444	0.00406888	0.997966
85	0.00161509	0.00323017	0.998385
86	0.00119307	0.00238613	0.998807
87	0.00091248	0.00182496	0.999088
88	0.00072607	0.00145214	0.999274
89	0.000855891	0.00171178	0.999144
90	0.000926612	0.00185322	0.999073
91	0.000775999	0.001552	0.999224
92	0.00176321	0.00352643	0.998237
93	0.00137984	0.00275967	0.99862
94	0.00128598	0.00257196	0.998714
95	0.00148816	0.00297632	0.998512
96	0.00137644	0.00275288	0.998624
97	0.00216693	0.00433386	0.997833
98	0.0017548	0.0035096	0.998245
99	0.00162679	0.00325358	0.998373
100	0.00219234	0.00438468	0.997808
101	0.00190412	0.00380824	0.998096
102	0.00181026	0.00362052	0.99819
103	0.00213499	0.00426997	0.997865
104	0.00188687	0.00377375	0.998113
105	0.00191839	0.00383679	0.998082
106	0.00208083	0.00416165	0.997919
107	0.00250531	0.00501063	0.997495
108	0.0105794	0.0211588	0.989421
109	0.0232378	0.0464756	0.976762
110	0.0213547	0.0427094	0.978645
111	0.0192614	0.0385228	0.980739
112	0.018283	0.036566	0.981717
113	0.056455	0.11291	0.943545
114	0.0565191	0.113038	0.943481
115	0.112432	0.224864	0.887568
116	0.155477	0.310953	0.844523
117	0.1938	0.387601	0.8062
118	0.18035	0.3607	0.81965
119	0.223689	0.447379	0.776311
120	0.328388	0.656776	0.671612
121	0.354933	0.709866	0.645067
122	0.341465	0.68293	0.658535
123	0.472604	0.945209	0.527396
124	0.462772	0.925543	0.537228
125	0.462064	0.924128	0.537936
126	0.44463	0.889259	0.55537
127	0.478487	0.956974	0.521513
128	0.463176	0.926352	0.536824
129	0.568348	0.863304	0.431652
130	0.544258	0.911484	0.455742
131	0.518769	0.962463	0.481231
132	0.530369	0.939262	0.469631
133	0.521755	0.95649	0.478245
134	0.529048	0.941905	0.470952
135	0.504474	0.991052	0.495526
136	0.489238	0.978477	0.510762
137	0.511896	0.976207	0.488104
138	0.584826	0.830348	0.415174
139	0.651718	0.696564	0.348282
140	0.650104	0.699793	0.349896
141	0.628949	0.742103	0.371051
142	0.660848	0.678304	0.339152
143	0.682605	0.634789	0.317395
144	0.706157	0.587685	0.293843
145	0.719505	0.560991	0.280495
146	0.751692	0.496615	0.248308
147	0.735235	0.529531	0.264765
148	0.716869	0.566263	0.283131
149	0.711181	0.577637	0.288819
150	0.733669	0.532661	0.266331
151	0.731798	0.536404	0.268202
152	0.717377	0.565246	0.282623
153	0.758991	0.482017	0.241009
154	0.783944	0.432112	0.216056
155	0.758775	0.48245	0.241225
156	0.734629	0.530742	0.265371
157	0.767281	0.465437	0.232719
158	0.756158	0.487685	0.243842
159	0.739547	0.520905	0.260453
160	0.734394	0.531211	0.265606
161	0.767491	0.465019	0.232509
162	0.75632	0.487361	0.24368
163	0.753914	0.492173	0.246086
164	0.734072	0.531856	0.265928
165	0.790842	0.418315	0.209158
166	0.776367	0.447266	0.223633
167	0.814359	0.371282	0.185641
168	0.789521	0.420957	0.210479
169	0.766793	0.466413	0.233207
170	0.757041	0.485918	0.242959
171	0.745132	0.509735	0.254868
172	0.782957	0.434085	0.217043
173	0.756114	0.487772	0.243886
174	0.733484	0.533032	0.266516
175	0.710062	0.579876	0.289938
176	0.732152	0.535696	0.267848
177	0.701741	0.596518	0.298259
178	0.807239	0.385521	0.192761
179	0.794977	0.410047	0.205023
180	0.854106	0.291788	0.145894
181	0.831827	0.336347	0.168173
182	0.8101	0.379801	0.1899
183	0.832838	0.334324	0.167162
184	0.826454	0.347091	0.173546
185	0.801329	0.397342	0.198671
186	0.791598	0.416803	0.208402
187	0.803309	0.393382	0.196691
188	0.776065	0.44787	0.223935
189	0.754574	0.490851	0.245426
190	0.724602	0.550797	0.275398
191	0.726352	0.547296	0.273648
192	0.710934	0.578133	0.289066
193	0.751468	0.497063	0.248532
194	0.802798	0.394405	0.197202
195	0.783829	0.432343	0.216171
196	0.755635	0.488731	0.244365
197	0.734764	0.530472	0.265236
198	0.714499	0.571002	0.285501
199	0.690035	0.61993	0.309965
200	0.686706	0.626589	0.313294
201	0.774165	0.45167	0.225835
202	0.744538	0.510923	0.255462
203	0.713796	0.572409	0.286204
204	0.683733	0.632534	0.316267
205	0.665414	0.669172	0.334586
206	0.629645	0.740709	0.370355
207	0.630764	0.738473	0.369236
208	0.59729	0.80542	0.40271
209	0.675477	0.649046	0.324523
210	0.655132	0.689736	0.344868
211	0.633802	0.732395	0.366198
212	0.603748	0.792505	0.396252
213	0.564433	0.871134	0.435567
214	0.523479	0.953041	0.476521
215	0.516093	0.967814	0.483907
216	0.476336	0.952672	0.523664
217	0.450873	0.901746	0.549127
218	0.471876	0.943752	0.528124
219	0.436931	0.873862	0.563069
220	0.407687	0.815375	0.592313
221	0.457786	0.915573	0.542214
222	0.615813	0.768373	0.384187
223	0.572178	0.855645	0.427822
224	0.536342	0.927316	0.463658
225	0.521486	0.957029	0.478514
226	0.484321	0.968643	0.515679
227	0.456257	0.912515	0.543743
228	0.415851	0.831703	0.584149
229	0.481444	0.962888	0.518556
230	0.532152	0.935697	0.467848
231	0.66735	0.6653	0.33265
232	0.747859	0.504281	0.252141
233	0.706041	0.587919	0.293959
234	0.666715	0.666571	0.333285
235	0.635575	0.72885	0.364425
236	0.907512	0.184976	0.0924882
237	0.886419	0.227162	0.113581
238	0.858023	0.283954	0.141977
239	0.825108	0.349785	0.174892
240	0.786893	0.426215	0.213107
241	0.745396	0.509208	0.254604
242	0.700241	0.599518	0.299759
243	0.649265	0.70147	0.350735
244	0.787037	0.425926	0.212963
245	0.767279	0.465442	0.232721
246	0.72157	0.55686	0.27843
247	0.723578	0.552844	0.276422
248	0.691604	0.616792	0.308396
249	0.714105	0.571791	0.285895
250	0.661017	0.677967	0.338983
251	0.599872	0.800256	0.400128
252	0.562479	0.875042	0.437521
253	0.492732	0.985464	0.507268
254	0.480571	0.961143	0.519429
255	0.452781	0.905563	0.547219
256	0.402465	0.80493	0.597535
257	0.734077	0.531846	0.265923
258	0.76673	0.46654	0.23327
259	0.69355	0.6129	0.30645
260	0.910165	0.179671	0.0898353
261	0.862125	0.27575	0.137875
262	0.919312	0.161376	0.080688
263	0.925493	0.149015	0.0745075
264	0.865873	0.268254	0.134127
265	0.779309	0.441381	0.220691
266	0.752142	0.495715	0.247858
267	0.694975	0.61005	0.305025

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
11 & 0.440582 & 0.881164 & 0.559418 \tabularnewline
12 & 0.426709 & 0.853417 & 0.573291 \tabularnewline
13 & 0.3414 & 0.6828 & 0.6586 \tabularnewline
14 & 0.239413 & 0.478827 & 0.760587 \tabularnewline
15 & 0.275521 & 0.551043 & 0.724479 \tabularnewline
16 & 0.254326 & 0.508652 & 0.745674 \tabularnewline
17 & 0.198781 & 0.397562 & 0.801219 \tabularnewline
18 & 0.135871 & 0.271743 & 0.864129 \tabularnewline
19 & 0.0951754 & 0.190351 & 0.904825 \tabularnewline
20 & 0.060987 & 0.121974 & 0.939013 \tabularnewline
21 & 0.0813449 & 0.16269 & 0.918655 \tabularnewline
22 & 0.0548749 & 0.10975 & 0.945125 \tabularnewline
23 & 0.0349199 & 0.0698398 & 0.96508 \tabularnewline
24 & 0.0402049 & 0.0804098 & 0.959795 \tabularnewline
25 & 0.0282107 & 0.0564214 & 0.971789 \tabularnewline
26 & 0.0266885 & 0.053377 & 0.973312 \tabularnewline
27 & 0.0385205 & 0.0770409 & 0.96148 \tabularnewline
28 & 0.0262495 & 0.052499 & 0.97375 \tabularnewline
29 & 0.0245523 & 0.0491046 & 0.975448 \tabularnewline
30 & 0.0168543 & 0.0337086 & 0.983146 \tabularnewline
31 & 0.0197559 & 0.0395119 & 0.980244 \tabularnewline
32 & 0.0148685 & 0.029737 & 0.985131 \tabularnewline
33 & 0.0186745 & 0.0373491 & 0.981325 \tabularnewline
34 & 0.0139303 & 0.0278605 & 0.98607 \tabularnewline
35 & 0.0109467 & 0.0218935 & 0.989053 \tabularnewline
36 & 0.00802669 & 0.0160534 & 0.991973 \tabularnewline
37 & 0.00689439 & 0.0137888 & 0.993106 \tabularnewline
38 & 0.00494566 & 0.00989131 & 0.995054 \tabularnewline
39 & 0.00452027 & 0.00904055 & 0.99548 \tabularnewline
40 & 0.00305632 & 0.00611263 & 0.996944 \tabularnewline
41 & 0.0069575 & 0.013915 & 0.993042 \tabularnewline
42 & 0.00479708 & 0.00959417 & 0.995203 \tabularnewline
43 & 0.0041571 & 0.0083142 & 0.995843 \tabularnewline
44 & 0.0028756 & 0.00575121 & 0.997124 \tabularnewline
45 & 0.00190706 & 0.00381413 & 0.998093 \tabularnewline
46 & 0.00132976 & 0.00265953 & 0.99867 \tabularnewline
47 & 0.000852092 & 0.00170418 & 0.999148 \tabularnewline
48 & 0.000878789 & 0.00175758 & 0.999121 \tabularnewline
49 & 0.000961072 & 0.00192214 & 0.999039 \tabularnewline
50 & 0.000720575 & 0.00144115 & 0.999279 \tabularnewline
51 & 0.000526119 & 0.00105224 & 0.999474 \tabularnewline
52 & 0.00115277 & 0.00230554 & 0.998847 \tabularnewline
53 & 0.000786762 & 0.00157352 & 0.999213 \tabularnewline
54 & 0.000651729 & 0.00130346 & 0.999348 \tabularnewline
55 & 0.000883527 & 0.00176705 & 0.999116 \tabularnewline
56 & 0.000681187 & 0.00136237 & 0.999319 \tabularnewline
57 & 0.00276101 & 0.00552202 & 0.997239 \tabularnewline
58 & 0.00253906 & 0.00507813 & 0.997461 \tabularnewline
59 & 0.00203347 & 0.00406694 & 0.997967 \tabularnewline
60 & 0.00165995 & 0.0033199 & 0.99834 \tabularnewline
61 & 0.00149273 & 0.00298547 & 0.998507 \tabularnewline
62 & 0.00109615 & 0.00219229 & 0.998904 \tabularnewline
63 & 0.00237644 & 0.00475288 & 0.997624 \tabularnewline
64 & 0.00441632 & 0.00883263 & 0.995584 \tabularnewline
65 & 0.0042648 & 0.00852959 & 0.995735 \tabularnewline
66 & 0.00419694 & 0.00839388 & 0.995803 \tabularnewline
67 & 0.00323214 & 0.00646428 & 0.996768 \tabularnewline
68 & 0.00271848 & 0.00543695 & 0.997282 \tabularnewline
69 & 0.00453382 & 0.00906765 & 0.995466 \tabularnewline
70 & 0.00377058 & 0.00754115 & 0.996229 \tabularnewline
71 & 0.00276352 & 0.00552704 & 0.997236 \tabularnewline
72 & 0.00208601 & 0.00417202 & 0.997914 \tabularnewline
73 & 0.00218707 & 0.00437414 & 0.997813 \tabularnewline
74 & 0.0024806 & 0.00496121 & 0.997519 \tabularnewline
75 & 0.00202107 & 0.00404213 & 0.997979 \tabularnewline
76 & 0.0015053 & 0.00301061 & 0.998495 \tabularnewline
77 & 0.00112251 & 0.00224501 & 0.998877 \tabularnewline
78 & 0.000932898 & 0.0018658 & 0.999067 \tabularnewline
79 & 0.000702435 & 0.00140487 & 0.999298 \tabularnewline
80 & 0.000779828 & 0.00155966 & 0.99922 \tabularnewline
81 & 0.000578552 & 0.0011571 & 0.999421 \tabularnewline
82 & 0.000528107 & 0.00105621 & 0.999472 \tabularnewline
83 & 0.00039999 & 0.00079998 & 0.9996 \tabularnewline
84 & 0.00203444 & 0.00406888 & 0.997966 \tabularnewline
85 & 0.00161509 & 0.00323017 & 0.998385 \tabularnewline
86 & 0.00119307 & 0.00238613 & 0.998807 \tabularnewline
87 & 0.00091248 & 0.00182496 & 0.999088 \tabularnewline
88 & 0.00072607 & 0.00145214 & 0.999274 \tabularnewline
89 & 0.000855891 & 0.00171178 & 0.999144 \tabularnewline
90 & 0.000926612 & 0.00185322 & 0.999073 \tabularnewline
91 & 0.000775999 & 0.001552 & 0.999224 \tabularnewline
92 & 0.00176321 & 0.00352643 & 0.998237 \tabularnewline
93 & 0.00137984 & 0.00275967 & 0.99862 \tabularnewline
94 & 0.00128598 & 0.00257196 & 0.998714 \tabularnewline
95 & 0.00148816 & 0.00297632 & 0.998512 \tabularnewline
96 & 0.00137644 & 0.00275288 & 0.998624 \tabularnewline
97 & 0.00216693 & 0.00433386 & 0.997833 \tabularnewline
98 & 0.0017548 & 0.0035096 & 0.998245 \tabularnewline
99 & 0.00162679 & 0.00325358 & 0.998373 \tabularnewline
100 & 0.00219234 & 0.00438468 & 0.997808 \tabularnewline
101 & 0.00190412 & 0.00380824 & 0.998096 \tabularnewline
102 & 0.00181026 & 0.00362052 & 0.99819 \tabularnewline
103 & 0.00213499 & 0.00426997 & 0.997865 \tabularnewline
104 & 0.00188687 & 0.00377375 & 0.998113 \tabularnewline
105 & 0.00191839 & 0.00383679 & 0.998082 \tabularnewline
106 & 0.00208083 & 0.00416165 & 0.997919 \tabularnewline
107 & 0.00250531 & 0.00501063 & 0.997495 \tabularnewline
108 & 0.0105794 & 0.0211588 & 0.989421 \tabularnewline
109 & 0.0232378 & 0.0464756 & 0.976762 \tabularnewline
110 & 0.0213547 & 0.0427094 & 0.978645 \tabularnewline
111 & 0.0192614 & 0.0385228 & 0.980739 \tabularnewline
112 & 0.018283 & 0.036566 & 0.981717 \tabularnewline
113 & 0.056455 & 0.11291 & 0.943545 \tabularnewline
114 & 0.0565191 & 0.113038 & 0.943481 \tabularnewline
115 & 0.112432 & 0.224864 & 0.887568 \tabularnewline
116 & 0.155477 & 0.310953 & 0.844523 \tabularnewline
117 & 0.1938 & 0.387601 & 0.8062 \tabularnewline
118 & 0.18035 & 0.3607 & 0.81965 \tabularnewline
119 & 0.223689 & 0.447379 & 0.776311 \tabularnewline
120 & 0.328388 & 0.656776 & 0.671612 \tabularnewline
121 & 0.354933 & 0.709866 & 0.645067 \tabularnewline
122 & 0.341465 & 0.68293 & 0.658535 \tabularnewline
123 & 0.472604 & 0.945209 & 0.527396 \tabularnewline
124 & 0.462772 & 0.925543 & 0.537228 \tabularnewline
125 & 0.462064 & 0.924128 & 0.537936 \tabularnewline
126 & 0.44463 & 0.889259 & 0.55537 \tabularnewline
127 & 0.478487 & 0.956974 & 0.521513 \tabularnewline
128 & 0.463176 & 0.926352 & 0.536824 \tabularnewline
129 & 0.568348 & 0.863304 & 0.431652 \tabularnewline
130 & 0.544258 & 0.911484 & 0.455742 \tabularnewline
131 & 0.518769 & 0.962463 & 0.481231 \tabularnewline
132 & 0.530369 & 0.939262 & 0.469631 \tabularnewline
133 & 0.521755 & 0.95649 & 0.478245 \tabularnewline
134 & 0.529048 & 0.941905 & 0.470952 \tabularnewline
135 & 0.504474 & 0.991052 & 0.495526 \tabularnewline
136 & 0.489238 & 0.978477 & 0.510762 \tabularnewline
137 & 0.511896 & 0.976207 & 0.488104 \tabularnewline
138 & 0.584826 & 0.830348 & 0.415174 \tabularnewline
139 & 0.651718 & 0.696564 & 0.348282 \tabularnewline
140 & 0.650104 & 0.699793 & 0.349896 \tabularnewline
141 & 0.628949 & 0.742103 & 0.371051 \tabularnewline
142 & 0.660848 & 0.678304 & 0.339152 \tabularnewline
143 & 0.682605 & 0.634789 & 0.317395 \tabularnewline
144 & 0.706157 & 0.587685 & 0.293843 \tabularnewline
145 & 0.719505 & 0.560991 & 0.280495 \tabularnewline
146 & 0.751692 & 0.496615 & 0.248308 \tabularnewline
147 & 0.735235 & 0.529531 & 0.264765 \tabularnewline
148 & 0.716869 & 0.566263 & 0.283131 \tabularnewline
149 & 0.711181 & 0.577637 & 0.288819 \tabularnewline
150 & 0.733669 & 0.532661 & 0.266331 \tabularnewline
151 & 0.731798 & 0.536404 & 0.268202 \tabularnewline
152 & 0.717377 & 0.565246 & 0.282623 \tabularnewline
153 & 0.758991 & 0.482017 & 0.241009 \tabularnewline
154 & 0.783944 & 0.432112 & 0.216056 \tabularnewline
155 & 0.758775 & 0.48245 & 0.241225 \tabularnewline
156 & 0.734629 & 0.530742 & 0.265371 \tabularnewline
157 & 0.767281 & 0.465437 & 0.232719 \tabularnewline
158 & 0.756158 & 0.487685 & 0.243842 \tabularnewline
159 & 0.739547 & 0.520905 & 0.260453 \tabularnewline
160 & 0.734394 & 0.531211 & 0.265606 \tabularnewline
161 & 0.767491 & 0.465019 & 0.232509 \tabularnewline
162 & 0.75632 & 0.487361 & 0.24368 \tabularnewline
163 & 0.753914 & 0.492173 & 0.246086 \tabularnewline
164 & 0.734072 & 0.531856 & 0.265928 \tabularnewline
165 & 0.790842 & 0.418315 & 0.209158 \tabularnewline
166 & 0.776367 & 0.447266 & 0.223633 \tabularnewline
167 & 0.814359 & 0.371282 & 0.185641 \tabularnewline
168 & 0.789521 & 0.420957 & 0.210479 \tabularnewline
169 & 0.766793 & 0.466413 & 0.233207 \tabularnewline
170 & 0.757041 & 0.485918 & 0.242959 \tabularnewline
171 & 0.745132 & 0.509735 & 0.254868 \tabularnewline
172 & 0.782957 & 0.434085 & 0.217043 \tabularnewline
173 & 0.756114 & 0.487772 & 0.243886 \tabularnewline
174 & 0.733484 & 0.533032 & 0.266516 \tabularnewline
175 & 0.710062 & 0.579876 & 0.289938 \tabularnewline
176 & 0.732152 & 0.535696 & 0.267848 \tabularnewline
177 & 0.701741 & 0.596518 & 0.298259 \tabularnewline
178 & 0.807239 & 0.385521 & 0.192761 \tabularnewline
179 & 0.794977 & 0.410047 & 0.205023 \tabularnewline
180 & 0.854106 & 0.291788 & 0.145894 \tabularnewline
181 & 0.831827 & 0.336347 & 0.168173 \tabularnewline
182 & 0.8101 & 0.379801 & 0.1899 \tabularnewline
183 & 0.832838 & 0.334324 & 0.167162 \tabularnewline
184 & 0.826454 & 0.347091 & 0.173546 \tabularnewline
185 & 0.801329 & 0.397342 & 0.198671 \tabularnewline
186 & 0.791598 & 0.416803 & 0.208402 \tabularnewline
187 & 0.803309 & 0.393382 & 0.196691 \tabularnewline
188 & 0.776065 & 0.44787 & 0.223935 \tabularnewline
189 & 0.754574 & 0.490851 & 0.245426 \tabularnewline
190 & 0.724602 & 0.550797 & 0.275398 \tabularnewline
191 & 0.726352 & 0.547296 & 0.273648 \tabularnewline
192 & 0.710934 & 0.578133 & 0.289066 \tabularnewline
193 & 0.751468 & 0.497063 & 0.248532 \tabularnewline
194 & 0.802798 & 0.394405 & 0.197202 \tabularnewline
195 & 0.783829 & 0.432343 & 0.216171 \tabularnewline
196 & 0.755635 & 0.488731 & 0.244365 \tabularnewline
197 & 0.734764 & 0.530472 & 0.265236 \tabularnewline
198 & 0.714499 & 0.571002 & 0.285501 \tabularnewline
199 & 0.690035 & 0.61993 & 0.309965 \tabularnewline
200 & 0.686706 & 0.626589 & 0.313294 \tabularnewline
201 & 0.774165 & 0.45167 & 0.225835 \tabularnewline
202 & 0.744538 & 0.510923 & 0.255462 \tabularnewline
203 & 0.713796 & 0.572409 & 0.286204 \tabularnewline
204 & 0.683733 & 0.632534 & 0.316267 \tabularnewline
205 & 0.665414 & 0.669172 & 0.334586 \tabularnewline
206 & 0.629645 & 0.740709 & 0.370355 \tabularnewline
207 & 0.630764 & 0.738473 & 0.369236 \tabularnewline
208 & 0.59729 & 0.80542 & 0.40271 \tabularnewline
209 & 0.675477 & 0.649046 & 0.324523 \tabularnewline
210 & 0.655132 & 0.689736 & 0.344868 \tabularnewline
211 & 0.633802 & 0.732395 & 0.366198 \tabularnewline
212 & 0.603748 & 0.792505 & 0.396252 \tabularnewline
213 & 0.564433 & 0.871134 & 0.435567 \tabularnewline
214 & 0.523479 & 0.953041 & 0.476521 \tabularnewline
215 & 0.516093 & 0.967814 & 0.483907 \tabularnewline
216 & 0.476336 & 0.952672 & 0.523664 \tabularnewline
217 & 0.450873 & 0.901746 & 0.549127 \tabularnewline
218 & 0.471876 & 0.943752 & 0.528124 \tabularnewline
219 & 0.436931 & 0.873862 & 0.563069 \tabularnewline
220 & 0.407687 & 0.815375 & 0.592313 \tabularnewline
221 & 0.457786 & 0.915573 & 0.542214 \tabularnewline
222 & 0.615813 & 0.768373 & 0.384187 \tabularnewline
223 & 0.572178 & 0.855645 & 0.427822 \tabularnewline
224 & 0.536342 & 0.927316 & 0.463658 \tabularnewline
225 & 0.521486 & 0.957029 & 0.478514 \tabularnewline
226 & 0.484321 & 0.968643 & 0.515679 \tabularnewline
227 & 0.456257 & 0.912515 & 0.543743 \tabularnewline
228 & 0.415851 & 0.831703 & 0.584149 \tabularnewline
229 & 0.481444 & 0.962888 & 0.518556 \tabularnewline
230 & 0.532152 & 0.935697 & 0.467848 \tabularnewline
231 & 0.66735 & 0.6653 & 0.33265 \tabularnewline
232 & 0.747859 & 0.504281 & 0.252141 \tabularnewline
233 & 0.706041 & 0.587919 & 0.293959 \tabularnewline
234 & 0.666715 & 0.666571 & 0.333285 \tabularnewline
235 & 0.635575 & 0.72885 & 0.364425 \tabularnewline
236 & 0.907512 & 0.184976 & 0.0924882 \tabularnewline
237 & 0.886419 & 0.227162 & 0.113581 \tabularnewline
238 & 0.858023 & 0.283954 & 0.141977 \tabularnewline
239 & 0.825108 & 0.349785 & 0.174892 \tabularnewline
240 & 0.786893 & 0.426215 & 0.213107 \tabularnewline
241 & 0.745396 & 0.509208 & 0.254604 \tabularnewline
242 & 0.700241 & 0.599518 & 0.299759 \tabularnewline
243 & 0.649265 & 0.70147 & 0.350735 \tabularnewline
244 & 0.787037 & 0.425926 & 0.212963 \tabularnewline
245 & 0.767279 & 0.465442 & 0.232721 \tabularnewline
246 & 0.72157 & 0.55686 & 0.27843 \tabularnewline
247 & 0.723578 & 0.552844 & 0.276422 \tabularnewline
248 & 0.691604 & 0.616792 & 0.308396 \tabularnewline
249 & 0.714105 & 0.571791 & 0.285895 \tabularnewline
250 & 0.661017 & 0.677967 & 0.338983 \tabularnewline
251 & 0.599872 & 0.800256 & 0.400128 \tabularnewline
252 & 0.562479 & 0.875042 & 0.437521 \tabularnewline
253 & 0.492732 & 0.985464 & 0.507268 \tabularnewline
254 & 0.480571 & 0.961143 & 0.519429 \tabularnewline
255 & 0.452781 & 0.905563 & 0.547219 \tabularnewline
256 & 0.402465 & 0.80493 & 0.597535 \tabularnewline
257 & 0.734077 & 0.531846 & 0.265923 \tabularnewline
258 & 0.76673 & 0.46654 & 0.23327 \tabularnewline
259 & 0.69355 & 0.6129 & 0.30645 \tabularnewline
260 & 0.910165 & 0.179671 & 0.0898353 \tabularnewline
261 & 0.862125 & 0.27575 & 0.137875 \tabularnewline
262 & 0.919312 & 0.161376 & 0.080688 \tabularnewline
263 & 0.925493 & 0.149015 & 0.0745075 \tabularnewline
264 & 0.865873 & 0.268254 & 0.134127 \tabularnewline
265 & 0.779309 & 0.441381 & 0.220691 \tabularnewline
266 & 0.752142 & 0.495715 & 0.247858 \tabularnewline
267 & 0.694975 & 0.61005 & 0.305025 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268355&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]11[/C][C]0.440582[/C][C]0.881164[/C][C]0.559418[/C][/ROW]
[ROW][C]12[/C][C]0.426709[/C][C]0.853417[/C][C]0.573291[/C][/ROW]
[ROW][C]13[/C][C]0.3414[/C][C]0.6828[/C][C]0.6586[/C][/ROW]
[ROW][C]14[/C][C]0.239413[/C][C]0.478827[/C][C]0.760587[/C][/ROW]
[ROW][C]15[/C][C]0.275521[/C][C]0.551043[/C][C]0.724479[/C][/ROW]
[ROW][C]16[/C][C]0.254326[/C][C]0.508652[/C][C]0.745674[/C][/ROW]
[ROW][C]17[/C][C]0.198781[/C][C]0.397562[/C][C]0.801219[/C][/ROW]
[ROW][C]18[/C][C]0.135871[/C][C]0.271743[/C][C]0.864129[/C][/ROW]
[ROW][C]19[/C][C]0.0951754[/C][C]0.190351[/C][C]0.904825[/C][/ROW]
[ROW][C]20[/C][C]0.060987[/C][C]0.121974[/C][C]0.939013[/C][/ROW]
[ROW][C]21[/C][C]0.0813449[/C][C]0.16269[/C][C]0.918655[/C][/ROW]
[ROW][C]22[/C][C]0.0548749[/C][C]0.10975[/C][C]0.945125[/C][/ROW]
[ROW][C]23[/C][C]0.0349199[/C][C]0.0698398[/C][C]0.96508[/C][/ROW]
[ROW][C]24[/C][C]0.0402049[/C][C]0.0804098[/C][C]0.959795[/C][/ROW]
[ROW][C]25[/C][C]0.0282107[/C][C]0.0564214[/C][C]0.971789[/C][/ROW]
[ROW][C]26[/C][C]0.0266885[/C][C]0.053377[/C][C]0.973312[/C][/ROW]
[ROW][C]27[/C][C]0.0385205[/C][C]0.0770409[/C][C]0.96148[/C][/ROW]
[ROW][C]28[/C][C]0.0262495[/C][C]0.052499[/C][C]0.97375[/C][/ROW]
[ROW][C]29[/C][C]0.0245523[/C][C]0.0491046[/C][C]0.975448[/C][/ROW]
[ROW][C]30[/C][C]0.0168543[/C][C]0.0337086[/C][C]0.983146[/C][/ROW]
[ROW][C]31[/C][C]0.0197559[/C][C]0.0395119[/C][C]0.980244[/C][/ROW]
[ROW][C]32[/C][C]0.0148685[/C][C]0.029737[/C][C]0.985131[/C][/ROW]
[ROW][C]33[/C][C]0.0186745[/C][C]0.0373491[/C][C]0.981325[/C][/ROW]
[ROW][C]34[/C][C]0.0139303[/C][C]0.0278605[/C][C]0.98607[/C][/ROW]
[ROW][C]35[/C][C]0.0109467[/C][C]0.0218935[/C][C]0.989053[/C][/ROW]
[ROW][C]36[/C][C]0.00802669[/C][C]0.0160534[/C][C]0.991973[/C][/ROW]
[ROW][C]37[/C][C]0.00689439[/C][C]0.0137888[/C][C]0.993106[/C][/ROW]
[ROW][C]38[/C][C]0.00494566[/C][C]0.00989131[/C][C]0.995054[/C][/ROW]
[ROW][C]39[/C][C]0.00452027[/C][C]0.00904055[/C][C]0.99548[/C][/ROW]
[ROW][C]40[/C][C]0.00305632[/C][C]0.00611263[/C][C]0.996944[/C][/ROW]
[ROW][C]41[/C][C]0.0069575[/C][C]0.013915[/C][C]0.993042[/C][/ROW]
[ROW][C]42[/C][C]0.00479708[/C][C]0.00959417[/C][C]0.995203[/C][/ROW]
[ROW][C]43[/C][C]0.0041571[/C][C]0.0083142[/C][C]0.995843[/C][/ROW]
[ROW][C]44[/C][C]0.0028756[/C][C]0.00575121[/C][C]0.997124[/C][/ROW]
[ROW][C]45[/C][C]0.00190706[/C][C]0.00381413[/C][C]0.998093[/C][/ROW]
[ROW][C]46[/C][C]0.00132976[/C][C]0.00265953[/C][C]0.99867[/C][/ROW]
[ROW][C]47[/C][C]0.000852092[/C][C]0.00170418[/C][C]0.999148[/C][/ROW]
[ROW][C]48[/C][C]0.000878789[/C][C]0.00175758[/C][C]0.999121[/C][/ROW]
[ROW][C]49[/C][C]0.000961072[/C][C]0.00192214[/C][C]0.999039[/C][/ROW]
[ROW][C]50[/C][C]0.000720575[/C][C]0.00144115[/C][C]0.999279[/C][/ROW]
[ROW][C]51[/C][C]0.000526119[/C][C]0.00105224[/C][C]0.999474[/C][/ROW]
[ROW][C]52[/C][C]0.00115277[/C][C]0.00230554[/C][C]0.998847[/C][/ROW]
[ROW][C]53[/C][C]0.000786762[/C][C]0.00157352[/C][C]0.999213[/C][/ROW]
[ROW][C]54[/C][C]0.000651729[/C][C]0.00130346[/C][C]0.999348[/C][/ROW]
[ROW][C]55[/C][C]0.000883527[/C][C]0.00176705[/C][C]0.999116[/C][/ROW]
[ROW][C]56[/C][C]0.000681187[/C][C]0.00136237[/C][C]0.999319[/C][/ROW]
[ROW][C]57[/C][C]0.00276101[/C][C]0.00552202[/C][C]0.997239[/C][/ROW]
[ROW][C]58[/C][C]0.00253906[/C][C]0.00507813[/C][C]0.997461[/C][/ROW]
[ROW][C]59[/C][C]0.00203347[/C][C]0.00406694[/C][C]0.997967[/C][/ROW]
[ROW][C]60[/C][C]0.00165995[/C][C]0.0033199[/C][C]0.99834[/C][/ROW]
[ROW][C]61[/C][C]0.00149273[/C][C]0.00298547[/C][C]0.998507[/C][/ROW]
[ROW][C]62[/C][C]0.00109615[/C][C]0.00219229[/C][C]0.998904[/C][/ROW]
[ROW][C]63[/C][C]0.00237644[/C][C]0.00475288[/C][C]0.997624[/C][/ROW]
[ROW][C]64[/C][C]0.00441632[/C][C]0.00883263[/C][C]0.995584[/C][/ROW]
[ROW][C]65[/C][C]0.0042648[/C][C]0.00852959[/C][C]0.995735[/C][/ROW]
[ROW][C]66[/C][C]0.00419694[/C][C]0.00839388[/C][C]0.995803[/C][/ROW]
[ROW][C]67[/C][C]0.00323214[/C][C]0.00646428[/C][C]0.996768[/C][/ROW]
[ROW][C]68[/C][C]0.00271848[/C][C]0.00543695[/C][C]0.997282[/C][/ROW]
[ROW][C]69[/C][C]0.00453382[/C][C]0.00906765[/C][C]0.995466[/C][/ROW]
[ROW][C]70[/C][C]0.00377058[/C][C]0.00754115[/C][C]0.996229[/C][/ROW]
[ROW][C]71[/C][C]0.00276352[/C][C]0.00552704[/C][C]0.997236[/C][/ROW]
[ROW][C]72[/C][C]0.00208601[/C][C]0.00417202[/C][C]0.997914[/C][/ROW]
[ROW][C]73[/C][C]0.00218707[/C][C]0.00437414[/C][C]0.997813[/C][/ROW]
[ROW][C]74[/C][C]0.0024806[/C][C]0.00496121[/C][C]0.997519[/C][/ROW]
[ROW][C]75[/C][C]0.00202107[/C][C]0.00404213[/C][C]0.997979[/C][/ROW]
[ROW][C]76[/C][C]0.0015053[/C][C]0.00301061[/C][C]0.998495[/C][/ROW]
[ROW][C]77[/C][C]0.00112251[/C][C]0.00224501[/C][C]0.998877[/C][/ROW]
[ROW][C]78[/C][C]0.000932898[/C][C]0.0018658[/C][C]0.999067[/C][/ROW]
[ROW][C]79[/C][C]0.000702435[/C][C]0.00140487[/C][C]0.999298[/C][/ROW]
[ROW][C]80[/C][C]0.000779828[/C][C]0.00155966[/C][C]0.99922[/C][/ROW]
[ROW][C]81[/C][C]0.000578552[/C][C]0.0011571[/C][C]0.999421[/C][/ROW]
[ROW][C]82[/C][C]0.000528107[/C][C]0.00105621[/C][C]0.999472[/C][/ROW]
[ROW][C]83[/C][C]0.00039999[/C][C]0.00079998[/C][C]0.9996[/C][/ROW]
[ROW][C]84[/C][C]0.00203444[/C][C]0.00406888[/C][C]0.997966[/C][/ROW]
[ROW][C]85[/C][C]0.00161509[/C][C]0.00323017[/C][C]0.998385[/C][/ROW]
[ROW][C]86[/C][C]0.00119307[/C][C]0.00238613[/C][C]0.998807[/C][/ROW]
[ROW][C]87[/C][C]0.00091248[/C][C]0.00182496[/C][C]0.999088[/C][/ROW]
[ROW][C]88[/C][C]0.00072607[/C][C]0.00145214[/C][C]0.999274[/C][/ROW]
[ROW][C]89[/C][C]0.000855891[/C][C]0.00171178[/C][C]0.999144[/C][/ROW]
[ROW][C]90[/C][C]0.000926612[/C][C]0.00185322[/C][C]0.999073[/C][/ROW]
[ROW][C]91[/C][C]0.000775999[/C][C]0.001552[/C][C]0.999224[/C][/ROW]
[ROW][C]92[/C][C]0.00176321[/C][C]0.00352643[/C][C]0.998237[/C][/ROW]
[ROW][C]93[/C][C]0.00137984[/C][C]0.00275967[/C][C]0.99862[/C][/ROW]
[ROW][C]94[/C][C]0.00128598[/C][C]0.00257196[/C][C]0.998714[/C][/ROW]
[ROW][C]95[/C][C]0.00148816[/C][C]0.00297632[/C][C]0.998512[/C][/ROW]
[ROW][C]96[/C][C]0.00137644[/C][C]0.00275288[/C][C]0.998624[/C][/ROW]
[ROW][C]97[/C][C]0.00216693[/C][C]0.00433386[/C][C]0.997833[/C][/ROW]
[ROW][C]98[/C][C]0.0017548[/C][C]0.0035096[/C][C]0.998245[/C][/ROW]
[ROW][C]99[/C][C]0.00162679[/C][C]0.00325358[/C][C]0.998373[/C][/ROW]
[ROW][C]100[/C][C]0.00219234[/C][C]0.00438468[/C][C]0.997808[/C][/ROW]
[ROW][C]101[/C][C]0.00190412[/C][C]0.00380824[/C][C]0.998096[/C][/ROW]
[ROW][C]102[/C][C]0.00181026[/C][C]0.00362052[/C][C]0.99819[/C][/ROW]
[ROW][C]103[/C][C]0.00213499[/C][C]0.00426997[/C][C]0.997865[/C][/ROW]
[ROW][C]104[/C][C]0.00188687[/C][C]0.00377375[/C][C]0.998113[/C][/ROW]
[ROW][C]105[/C][C]0.00191839[/C][C]0.00383679[/C][C]0.998082[/C][/ROW]
[ROW][C]106[/C][C]0.00208083[/C][C]0.00416165[/C][C]0.997919[/C][/ROW]
[ROW][C]107[/C][C]0.00250531[/C][C]0.00501063[/C][C]0.997495[/C][/ROW]
[ROW][C]108[/C][C]0.0105794[/C][C]0.0211588[/C][C]0.989421[/C][/ROW]
[ROW][C]109[/C][C]0.0232378[/C][C]0.0464756[/C][C]0.976762[/C][/ROW]
[ROW][C]110[/C][C]0.0213547[/C][C]0.0427094[/C][C]0.978645[/C][/ROW]
[ROW][C]111[/C][C]0.0192614[/C][C]0.0385228[/C][C]0.980739[/C][/ROW]
[ROW][C]112[/C][C]0.018283[/C][C]0.036566[/C][C]0.981717[/C][/ROW]
[ROW][C]113[/C][C]0.056455[/C][C]0.11291[/C][C]0.943545[/C][/ROW]
[ROW][C]114[/C][C]0.0565191[/C][C]0.113038[/C][C]0.943481[/C][/ROW]
[ROW][C]115[/C][C]0.112432[/C][C]0.224864[/C][C]0.887568[/C][/ROW]
[ROW][C]116[/C][C]0.155477[/C][C]0.310953[/C][C]0.844523[/C][/ROW]
[ROW][C]117[/C][C]0.1938[/C][C]0.387601[/C][C]0.8062[/C][/ROW]
[ROW][C]118[/C][C]0.18035[/C][C]0.3607[/C][C]0.81965[/C][/ROW]
[ROW][C]119[/C][C]0.223689[/C][C]0.447379[/C][C]0.776311[/C][/ROW]
[ROW][C]120[/C][C]0.328388[/C][C]0.656776[/C][C]0.671612[/C][/ROW]
[ROW][C]121[/C][C]0.354933[/C][C]0.709866[/C][C]0.645067[/C][/ROW]
[ROW][C]122[/C][C]0.341465[/C][C]0.68293[/C][C]0.658535[/C][/ROW]
[ROW][C]123[/C][C]0.472604[/C][C]0.945209[/C][C]0.527396[/C][/ROW]
[ROW][C]124[/C][C]0.462772[/C][C]0.925543[/C][C]0.537228[/C][/ROW]
[ROW][C]125[/C][C]0.462064[/C][C]0.924128[/C][C]0.537936[/C][/ROW]
[ROW][C]126[/C][C]0.44463[/C][C]0.889259[/C][C]0.55537[/C][/ROW]
[ROW][C]127[/C][C]0.478487[/C][C]0.956974[/C][C]0.521513[/C][/ROW]
[ROW][C]128[/C][C]0.463176[/C][C]0.926352[/C][C]0.536824[/C][/ROW]
[ROW][C]129[/C][C]0.568348[/C][C]0.863304[/C][C]0.431652[/C][/ROW]
[ROW][C]130[/C][C]0.544258[/C][C]0.911484[/C][C]0.455742[/C][/ROW]
[ROW][C]131[/C][C]0.518769[/C][C]0.962463[/C][C]0.481231[/C][/ROW]
[ROW][C]132[/C][C]0.530369[/C][C]0.939262[/C][C]0.469631[/C][/ROW]
[ROW][C]133[/C][C]0.521755[/C][C]0.95649[/C][C]0.478245[/C][/ROW]
[ROW][C]134[/C][C]0.529048[/C][C]0.941905[/C][C]0.470952[/C][/ROW]
[ROW][C]135[/C][C]0.504474[/C][C]0.991052[/C][C]0.495526[/C][/ROW]
[ROW][C]136[/C][C]0.489238[/C][C]0.978477[/C][C]0.510762[/C][/ROW]
[ROW][C]137[/C][C]0.511896[/C][C]0.976207[/C][C]0.488104[/C][/ROW]
[ROW][C]138[/C][C]0.584826[/C][C]0.830348[/C][C]0.415174[/C][/ROW]
[ROW][C]139[/C][C]0.651718[/C][C]0.696564[/C][C]0.348282[/C][/ROW]
[ROW][C]140[/C][C]0.650104[/C][C]0.699793[/C][C]0.349896[/C][/ROW]
[ROW][C]141[/C][C]0.628949[/C][C]0.742103[/C][C]0.371051[/C][/ROW]
[ROW][C]142[/C][C]0.660848[/C][C]0.678304[/C][C]0.339152[/C][/ROW]
[ROW][C]143[/C][C]0.682605[/C][C]0.634789[/C][C]0.317395[/C][/ROW]
[ROW][C]144[/C][C]0.706157[/C][C]0.587685[/C][C]0.293843[/C][/ROW]
[ROW][C]145[/C][C]0.719505[/C][C]0.560991[/C][C]0.280495[/C][/ROW]
[ROW][C]146[/C][C]0.751692[/C][C]0.496615[/C][C]0.248308[/C][/ROW]
[ROW][C]147[/C][C]0.735235[/C][C]0.529531[/C][C]0.264765[/C][/ROW]
[ROW][C]148[/C][C]0.716869[/C][C]0.566263[/C][C]0.283131[/C][/ROW]
[ROW][C]149[/C][C]0.711181[/C][C]0.577637[/C][C]0.288819[/C][/ROW]
[ROW][C]150[/C][C]0.733669[/C][C]0.532661[/C][C]0.266331[/C][/ROW]
[ROW][C]151[/C][C]0.731798[/C][C]0.536404[/C][C]0.268202[/C][/ROW]
[ROW][C]152[/C][C]0.717377[/C][C]0.565246[/C][C]0.282623[/C][/ROW]
[ROW][C]153[/C][C]0.758991[/C][C]0.482017[/C][C]0.241009[/C][/ROW]
[ROW][C]154[/C][C]0.783944[/C][C]0.432112[/C][C]0.216056[/C][/ROW]
[ROW][C]155[/C][C]0.758775[/C][C]0.48245[/C][C]0.241225[/C][/ROW]
[ROW][C]156[/C][C]0.734629[/C][C]0.530742[/C][C]0.265371[/C][/ROW]
[ROW][C]157[/C][C]0.767281[/C][C]0.465437[/C][C]0.232719[/C][/ROW]
[ROW][C]158[/C][C]0.756158[/C][C]0.487685[/C][C]0.243842[/C][/ROW]
[ROW][C]159[/C][C]0.739547[/C][C]0.520905[/C][C]0.260453[/C][/ROW]
[ROW][C]160[/C][C]0.734394[/C][C]0.531211[/C][C]0.265606[/C][/ROW]
[ROW][C]161[/C][C]0.767491[/C][C]0.465019[/C][C]0.232509[/C][/ROW]
[ROW][C]162[/C][C]0.75632[/C][C]0.487361[/C][C]0.24368[/C][/ROW]
[ROW][C]163[/C][C]0.753914[/C][C]0.492173[/C][C]0.246086[/C][/ROW]
[ROW][C]164[/C][C]0.734072[/C][C]0.531856[/C][C]0.265928[/C][/ROW]
[ROW][C]165[/C][C]0.790842[/C][C]0.418315[/C][C]0.209158[/C][/ROW]
[ROW][C]166[/C][C]0.776367[/C][C]0.447266[/C][C]0.223633[/C][/ROW]
[ROW][C]167[/C][C]0.814359[/C][C]0.371282[/C][C]0.185641[/C][/ROW]
[ROW][C]168[/C][C]0.789521[/C][C]0.420957[/C][C]0.210479[/C][/ROW]
[ROW][C]169[/C][C]0.766793[/C][C]0.466413[/C][C]0.233207[/C][/ROW]
[ROW][C]170[/C][C]0.757041[/C][C]0.485918[/C][C]0.242959[/C][/ROW]
[ROW][C]171[/C][C]0.745132[/C][C]0.509735[/C][C]0.254868[/C][/ROW]
[ROW][C]172[/C][C]0.782957[/C][C]0.434085[/C][C]0.217043[/C][/ROW]
[ROW][C]173[/C][C]0.756114[/C][C]0.487772[/C][C]0.243886[/C][/ROW]
[ROW][C]174[/C][C]0.733484[/C][C]0.533032[/C][C]0.266516[/C][/ROW]
[ROW][C]175[/C][C]0.710062[/C][C]0.579876[/C][C]0.289938[/C][/ROW]
[ROW][C]176[/C][C]0.732152[/C][C]0.535696[/C][C]0.267848[/C][/ROW]
[ROW][C]177[/C][C]0.701741[/C][C]0.596518[/C][C]0.298259[/C][/ROW]
[ROW][C]178[/C][C]0.807239[/C][C]0.385521[/C][C]0.192761[/C][/ROW]
[ROW][C]179[/C][C]0.794977[/C][C]0.410047[/C][C]0.205023[/C][/ROW]
[ROW][C]180[/C][C]0.854106[/C][C]0.291788[/C][C]0.145894[/C][/ROW]
[ROW][C]181[/C][C]0.831827[/C][C]0.336347[/C][C]0.168173[/C][/ROW]
[ROW][C]182[/C][C]0.8101[/C][C]0.379801[/C][C]0.1899[/C][/ROW]
[ROW][C]183[/C][C]0.832838[/C][C]0.334324[/C][C]0.167162[/C][/ROW]
[ROW][C]184[/C][C]0.826454[/C][C]0.347091[/C][C]0.173546[/C][/ROW]
[ROW][C]185[/C][C]0.801329[/C][C]0.397342[/C][C]0.198671[/C][/ROW]
[ROW][C]186[/C][C]0.791598[/C][C]0.416803[/C][C]0.208402[/C][/ROW]
[ROW][C]187[/C][C]0.803309[/C][C]0.393382[/C][C]0.196691[/C][/ROW]
[ROW][C]188[/C][C]0.776065[/C][C]0.44787[/C][C]0.223935[/C][/ROW]
[ROW][C]189[/C][C]0.754574[/C][C]0.490851[/C][C]0.245426[/C][/ROW]
[ROW][C]190[/C][C]0.724602[/C][C]0.550797[/C][C]0.275398[/C][/ROW]
[ROW][C]191[/C][C]0.726352[/C][C]0.547296[/C][C]0.273648[/C][/ROW]
[ROW][C]192[/C][C]0.710934[/C][C]0.578133[/C][C]0.289066[/C][/ROW]
[ROW][C]193[/C][C]0.751468[/C][C]0.497063[/C][C]0.248532[/C][/ROW]
[ROW][C]194[/C][C]0.802798[/C][C]0.394405[/C][C]0.197202[/C][/ROW]
[ROW][C]195[/C][C]0.783829[/C][C]0.432343[/C][C]0.216171[/C][/ROW]
[ROW][C]196[/C][C]0.755635[/C][C]0.488731[/C][C]0.244365[/C][/ROW]
[ROW][C]197[/C][C]0.734764[/C][C]0.530472[/C][C]0.265236[/C][/ROW]
[ROW][C]198[/C][C]0.714499[/C][C]0.571002[/C][C]0.285501[/C][/ROW]
[ROW][C]199[/C][C]0.690035[/C][C]0.61993[/C][C]0.309965[/C][/ROW]
[ROW][C]200[/C][C]0.686706[/C][C]0.626589[/C][C]0.313294[/C][/ROW]
[ROW][C]201[/C][C]0.774165[/C][C]0.45167[/C][C]0.225835[/C][/ROW]
[ROW][C]202[/C][C]0.744538[/C][C]0.510923[/C][C]0.255462[/C][/ROW]
[ROW][C]203[/C][C]0.713796[/C][C]0.572409[/C][C]0.286204[/C][/ROW]
[ROW][C]204[/C][C]0.683733[/C][C]0.632534[/C][C]0.316267[/C][/ROW]
[ROW][C]205[/C][C]0.665414[/C][C]0.669172[/C][C]0.334586[/C][/ROW]
[ROW][C]206[/C][C]0.629645[/C][C]0.740709[/C][C]0.370355[/C][/ROW]
[ROW][C]207[/C][C]0.630764[/C][C]0.738473[/C][C]0.369236[/C][/ROW]
[ROW][C]208[/C][C]0.59729[/C][C]0.80542[/C][C]0.40271[/C][/ROW]
[ROW][C]209[/C][C]0.675477[/C][C]0.649046[/C][C]0.324523[/C][/ROW]
[ROW][C]210[/C][C]0.655132[/C][C]0.689736[/C][C]0.344868[/C][/ROW]
[ROW][C]211[/C][C]0.633802[/C][C]0.732395[/C][C]0.366198[/C][/ROW]
[ROW][C]212[/C][C]0.603748[/C][C]0.792505[/C][C]0.396252[/C][/ROW]
[ROW][C]213[/C][C]0.564433[/C][C]0.871134[/C][C]0.435567[/C][/ROW]
[ROW][C]214[/C][C]0.523479[/C][C]0.953041[/C][C]0.476521[/C][/ROW]
[ROW][C]215[/C][C]0.516093[/C][C]0.967814[/C][C]0.483907[/C][/ROW]
[ROW][C]216[/C][C]0.476336[/C][C]0.952672[/C][C]0.523664[/C][/ROW]
[ROW][C]217[/C][C]0.450873[/C][C]0.901746[/C][C]0.549127[/C][/ROW]
[ROW][C]218[/C][C]0.471876[/C][C]0.943752[/C][C]0.528124[/C][/ROW]
[ROW][C]219[/C][C]0.436931[/C][C]0.873862[/C][C]0.563069[/C][/ROW]
[ROW][C]220[/C][C]0.407687[/C][C]0.815375[/C][C]0.592313[/C][/ROW]
[ROW][C]221[/C][C]0.457786[/C][C]0.915573[/C][C]0.542214[/C][/ROW]
[ROW][C]222[/C][C]0.615813[/C][C]0.768373[/C][C]0.384187[/C][/ROW]
[ROW][C]223[/C][C]0.572178[/C][C]0.855645[/C][C]0.427822[/C][/ROW]
[ROW][C]224[/C][C]0.536342[/C][C]0.927316[/C][C]0.463658[/C][/ROW]
[ROW][C]225[/C][C]0.521486[/C][C]0.957029[/C][C]0.478514[/C][/ROW]
[ROW][C]226[/C][C]0.484321[/C][C]0.968643[/C][C]0.515679[/C][/ROW]
[ROW][C]227[/C][C]0.456257[/C][C]0.912515[/C][C]0.543743[/C][/ROW]
[ROW][C]228[/C][C]0.415851[/C][C]0.831703[/C][C]0.584149[/C][/ROW]
[ROW][C]229[/C][C]0.481444[/C][C]0.962888[/C][C]0.518556[/C][/ROW]
[ROW][C]230[/C][C]0.532152[/C][C]0.935697[/C][C]0.467848[/C][/ROW]
[ROW][C]231[/C][C]0.66735[/C][C]0.6653[/C][C]0.33265[/C][/ROW]
[ROW][C]232[/C][C]0.747859[/C][C]0.504281[/C][C]0.252141[/C][/ROW]
[ROW][C]233[/C][C]0.706041[/C][C]0.587919[/C][C]0.293959[/C][/ROW]
[ROW][C]234[/C][C]0.666715[/C][C]0.666571[/C][C]0.333285[/C][/ROW]
[ROW][C]235[/C][C]0.635575[/C][C]0.72885[/C][C]0.364425[/C][/ROW]
[ROW][C]236[/C][C]0.907512[/C][C]0.184976[/C][C]0.0924882[/C][/ROW]
[ROW][C]237[/C][C]0.886419[/C][C]0.227162[/C][C]0.113581[/C][/ROW]
[ROW][C]238[/C][C]0.858023[/C][C]0.283954[/C][C]0.141977[/C][/ROW]
[ROW][C]239[/C][C]0.825108[/C][C]0.349785[/C][C]0.174892[/C][/ROW]
[ROW][C]240[/C][C]0.786893[/C][C]0.426215[/C][C]0.213107[/C][/ROW]
[ROW][C]241[/C][C]0.745396[/C][C]0.509208[/C][C]0.254604[/C][/ROW]
[ROW][C]242[/C][C]0.700241[/C][C]0.599518[/C][C]0.299759[/C][/ROW]
[ROW][C]243[/C][C]0.649265[/C][C]0.70147[/C][C]0.350735[/C][/ROW]
[ROW][C]244[/C][C]0.787037[/C][C]0.425926[/C][C]0.212963[/C][/ROW]
[ROW][C]245[/C][C]0.767279[/C][C]0.465442[/C][C]0.232721[/C][/ROW]
[ROW][C]246[/C][C]0.72157[/C][C]0.55686[/C][C]0.27843[/C][/ROW]
[ROW][C]247[/C][C]0.723578[/C][C]0.552844[/C][C]0.276422[/C][/ROW]
[ROW][C]248[/C][C]0.691604[/C][C]0.616792[/C][C]0.308396[/C][/ROW]
[ROW][C]249[/C][C]0.714105[/C][C]0.571791[/C][C]0.285895[/C][/ROW]
[ROW][C]250[/C][C]0.661017[/C][C]0.677967[/C][C]0.338983[/C][/ROW]
[ROW][C]251[/C][C]0.599872[/C][C]0.800256[/C][C]0.400128[/C][/ROW]
[ROW][C]252[/C][C]0.562479[/C][C]0.875042[/C][C]0.437521[/C][/ROW]
[ROW][C]253[/C][C]0.492732[/C][C]0.985464[/C][C]0.507268[/C][/ROW]
[ROW][C]254[/C][C]0.480571[/C][C]0.961143[/C][C]0.519429[/C][/ROW]
[ROW][C]255[/C][C]0.452781[/C][C]0.905563[/C][C]0.547219[/C][/ROW]
[ROW][C]256[/C][C]0.402465[/C][C]0.80493[/C][C]0.597535[/C][/ROW]
[ROW][C]257[/C][C]0.734077[/C][C]0.531846[/C][C]0.265923[/C][/ROW]
[ROW][C]258[/C][C]0.76673[/C][C]0.46654[/C][C]0.23327[/C][/ROW]
[ROW][C]259[/C][C]0.69355[/C][C]0.6129[/C][C]0.30645[/C][/ROW]
[ROW][C]260[/C][C]0.910165[/C][C]0.179671[/C][C]0.0898353[/C][/ROW]
[ROW][C]261[/C][C]0.862125[/C][C]0.27575[/C][C]0.137875[/C][/ROW]
[ROW][C]262[/C][C]0.919312[/C][C]0.161376[/C][C]0.080688[/C][/ROW]
[ROW][C]263[/C][C]0.925493[/C][C]0.149015[/C][C]0.0745075[/C][/ROW]
[ROW][C]264[/C][C]0.865873[/C][C]0.268254[/C][C]0.134127[/C][/ROW]
[ROW][C]265[/C][C]0.779309[/C][C]0.441381[/C][C]0.220691[/C][/ROW]
[ROW][C]266[/C][C]0.752142[/C][C]0.495715[/C][C]0.247858[/C][/ROW]
[ROW][C]267[/C][C]0.694975[/C][C]0.61005[/C][C]0.305025[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268355&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268355&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
11	0.440582	0.881164	0.559418
12	0.426709	0.853417	0.573291
13	0.3414	0.6828	0.6586
14	0.239413	0.478827	0.760587
15	0.275521	0.551043	0.724479
16	0.254326	0.508652	0.745674
17	0.198781	0.397562	0.801219
18	0.135871	0.271743	0.864129
19	0.0951754	0.190351	0.904825
20	0.060987	0.121974	0.939013
21	0.0813449	0.16269	0.918655
22	0.0548749	0.10975	0.945125
23	0.0349199	0.0698398	0.96508
24	0.0402049	0.0804098	0.959795
25	0.0282107	0.0564214	0.971789
26	0.0266885	0.053377	0.973312
27	0.0385205	0.0770409	0.96148
28	0.0262495	0.052499	0.97375
29	0.0245523	0.0491046	0.975448
30	0.0168543	0.0337086	0.983146
31	0.0197559	0.0395119	0.980244
32	0.0148685	0.029737	0.985131
33	0.0186745	0.0373491	0.981325
34	0.0139303	0.0278605	0.98607
35	0.0109467	0.0218935	0.989053
36	0.00802669	0.0160534	0.991973
37	0.00689439	0.0137888	0.993106
38	0.00494566	0.00989131	0.995054
39	0.00452027	0.00904055	0.99548
40	0.00305632	0.00611263	0.996944
41	0.0069575	0.013915	0.993042
42	0.00479708	0.00959417	0.995203
43	0.0041571	0.0083142	0.995843
44	0.0028756	0.00575121	0.997124
45	0.00190706	0.00381413	0.998093
46	0.00132976	0.00265953	0.99867
47	0.000852092	0.00170418	0.999148
48	0.000878789	0.00175758	0.999121
49	0.000961072	0.00192214	0.999039
50	0.000720575	0.00144115	0.999279
51	0.000526119	0.00105224	0.999474
52	0.00115277	0.00230554	0.998847
53	0.000786762	0.00157352	0.999213
54	0.000651729	0.00130346	0.999348
55	0.000883527	0.00176705	0.999116
56	0.000681187	0.00136237	0.999319
57	0.00276101	0.00552202	0.997239
58	0.00253906	0.00507813	0.997461
59	0.00203347	0.00406694	0.997967
60	0.00165995	0.0033199	0.99834
61	0.00149273	0.00298547	0.998507
62	0.00109615	0.00219229	0.998904
63	0.00237644	0.00475288	0.997624
64	0.00441632	0.00883263	0.995584
65	0.0042648	0.00852959	0.995735
66	0.00419694	0.00839388	0.995803
67	0.00323214	0.00646428	0.996768
68	0.00271848	0.00543695	0.997282
69	0.00453382	0.00906765	0.995466
70	0.00377058	0.00754115	0.996229
71	0.00276352	0.00552704	0.997236
72	0.00208601	0.00417202	0.997914
73	0.00218707	0.00437414	0.997813
74	0.0024806	0.00496121	0.997519
75	0.00202107	0.00404213	0.997979
76	0.0015053	0.00301061	0.998495
77	0.00112251	0.00224501	0.998877
78	0.000932898	0.0018658	0.999067
79	0.000702435	0.00140487	0.999298
80	0.000779828	0.00155966	0.99922
81	0.000578552	0.0011571	0.999421
82	0.000528107	0.00105621	0.999472
83	0.00039999	0.00079998	0.9996
84	0.00203444	0.00406888	0.997966
85	0.00161509	0.00323017	0.998385
86	0.00119307	0.00238613	0.998807
87	0.00091248	0.00182496	0.999088
88	0.00072607	0.00145214	0.999274
89	0.000855891	0.00171178	0.999144
90	0.000926612	0.00185322	0.999073
91	0.000775999	0.001552	0.999224
92	0.00176321	0.00352643	0.998237
93	0.00137984	0.00275967	0.99862
94	0.00128598	0.00257196	0.998714
95	0.00148816	0.00297632	0.998512
96	0.00137644	0.00275288	0.998624
97	0.00216693	0.00433386	0.997833
98	0.0017548	0.0035096	0.998245
99	0.00162679	0.00325358	0.998373
100	0.00219234	0.00438468	0.997808
101	0.00190412	0.00380824	0.998096
102	0.00181026	0.00362052	0.99819
103	0.00213499	0.00426997	0.997865
104	0.00188687	0.00377375	0.998113
105	0.00191839	0.00383679	0.998082
106	0.00208083	0.00416165	0.997919
107	0.00250531	0.00501063	0.997495
108	0.0105794	0.0211588	0.989421
109	0.0232378	0.0464756	0.976762
110	0.0213547	0.0427094	0.978645
111	0.0192614	0.0385228	0.980739
112	0.018283	0.036566	0.981717
113	0.056455	0.11291	0.943545
114	0.0565191	0.113038	0.943481
115	0.112432	0.224864	0.887568
116	0.155477	0.310953	0.844523
117	0.1938	0.387601	0.8062
118	0.18035	0.3607	0.81965
119	0.223689	0.447379	0.776311
120	0.328388	0.656776	0.671612
121	0.354933	0.709866	0.645067
122	0.341465	0.68293	0.658535
123	0.472604	0.945209	0.527396
124	0.462772	0.925543	0.537228
125	0.462064	0.924128	0.537936
126	0.44463	0.889259	0.55537
127	0.478487	0.956974	0.521513
128	0.463176	0.926352	0.536824
129	0.568348	0.863304	0.431652
130	0.544258	0.911484	0.455742
131	0.518769	0.962463	0.481231
132	0.530369	0.939262	0.469631
133	0.521755	0.95649	0.478245
134	0.529048	0.941905	0.470952
135	0.504474	0.991052	0.495526
136	0.489238	0.978477	0.510762
137	0.511896	0.976207	0.488104
138	0.584826	0.830348	0.415174
139	0.651718	0.696564	0.348282
140	0.650104	0.699793	0.349896
141	0.628949	0.742103	0.371051
142	0.660848	0.678304	0.339152
143	0.682605	0.634789	0.317395
144	0.706157	0.587685	0.293843
145	0.719505	0.560991	0.280495
146	0.751692	0.496615	0.248308
147	0.735235	0.529531	0.264765
148	0.716869	0.566263	0.283131
149	0.711181	0.577637	0.288819
150	0.733669	0.532661	0.266331
151	0.731798	0.536404	0.268202
152	0.717377	0.565246	0.282623
153	0.758991	0.482017	0.241009
154	0.783944	0.432112	0.216056
155	0.758775	0.48245	0.241225
156	0.734629	0.530742	0.265371
157	0.767281	0.465437	0.232719
158	0.756158	0.487685	0.243842
159	0.739547	0.520905	0.260453
160	0.734394	0.531211	0.265606
161	0.767491	0.465019	0.232509
162	0.75632	0.487361	0.24368
163	0.753914	0.492173	0.246086
164	0.734072	0.531856	0.265928
165	0.790842	0.418315	0.209158
166	0.776367	0.447266	0.223633
167	0.814359	0.371282	0.185641
168	0.789521	0.420957	0.210479
169	0.766793	0.466413	0.233207
170	0.757041	0.485918	0.242959
171	0.745132	0.509735	0.254868
172	0.782957	0.434085	0.217043
173	0.756114	0.487772	0.243886
174	0.733484	0.533032	0.266516
175	0.710062	0.579876	0.289938
176	0.732152	0.535696	0.267848
177	0.701741	0.596518	0.298259
178	0.807239	0.385521	0.192761
179	0.794977	0.410047	0.205023
180	0.854106	0.291788	0.145894
181	0.831827	0.336347	0.168173
182	0.8101	0.379801	0.1899
183	0.832838	0.334324	0.167162
184	0.826454	0.347091	0.173546
185	0.801329	0.397342	0.198671
186	0.791598	0.416803	0.208402
187	0.803309	0.393382	0.196691
188	0.776065	0.44787	0.223935
189	0.754574	0.490851	0.245426
190	0.724602	0.550797	0.275398
191	0.726352	0.547296	0.273648
192	0.710934	0.578133	0.289066
193	0.751468	0.497063	0.248532
194	0.802798	0.394405	0.197202
195	0.783829	0.432343	0.216171
196	0.755635	0.488731	0.244365
197	0.734764	0.530472	0.265236
198	0.714499	0.571002	0.285501
199	0.690035	0.61993	0.309965
200	0.686706	0.626589	0.313294
201	0.774165	0.45167	0.225835
202	0.744538	0.510923	0.255462
203	0.713796	0.572409	0.286204
204	0.683733	0.632534	0.316267
205	0.665414	0.669172	0.334586
206	0.629645	0.740709	0.370355
207	0.630764	0.738473	0.369236
208	0.59729	0.80542	0.40271
209	0.675477	0.649046	0.324523
210	0.655132	0.689736	0.344868
211	0.633802	0.732395	0.366198
212	0.603748	0.792505	0.396252
213	0.564433	0.871134	0.435567
214	0.523479	0.953041	0.476521
215	0.516093	0.967814	0.483907
216	0.476336	0.952672	0.523664
217	0.450873	0.901746	0.549127
218	0.471876	0.943752	0.528124
219	0.436931	0.873862	0.563069
220	0.407687	0.815375	0.592313
221	0.457786	0.915573	0.542214
222	0.615813	0.768373	0.384187
223	0.572178	0.855645	0.427822
224	0.536342	0.927316	0.463658
225	0.521486	0.957029	0.478514
226	0.484321	0.968643	0.515679
227	0.456257	0.912515	0.543743
228	0.415851	0.831703	0.584149
229	0.481444	0.962888	0.518556
230	0.532152	0.935697	0.467848
231	0.66735	0.6653	0.33265
232	0.747859	0.504281	0.252141
233	0.706041	0.587919	0.293959
234	0.666715	0.666571	0.333285
235	0.635575	0.72885	0.364425
236	0.907512	0.184976	0.0924882
237	0.886419	0.227162	0.113581
238	0.858023	0.283954	0.141977
239	0.825108	0.349785	0.174892
240	0.786893	0.426215	0.213107
241	0.745396	0.509208	0.254604
242	0.700241	0.599518	0.299759
243	0.649265	0.70147	0.350735
244	0.787037	0.425926	0.212963
245	0.767279	0.465442	0.232721
246	0.72157	0.55686	0.27843
247	0.723578	0.552844	0.276422
248	0.691604	0.616792	0.308396
249	0.714105	0.571791	0.285895
250	0.661017	0.677967	0.338983
251	0.599872	0.800256	0.400128
252	0.562479	0.875042	0.437521
253	0.492732	0.985464	0.507268
254	0.480571	0.961143	0.519429
255	0.452781	0.905563	0.547219
256	0.402465	0.80493	0.597535
257	0.734077	0.531846	0.265923
258	0.76673	0.46654	0.23327
259	0.69355	0.6129	0.30645
260	0.910165	0.179671	0.0898353
261	0.862125	0.27575	0.137875
262	0.919312	0.161376	0.080688
263	0.925493	0.149015	0.0745075
264	0.865873	0.268254	0.134127
265	0.779309	0.441381	0.220691
266	0.752142	0.495715	0.247858
267	0.694975	0.61005	0.305025

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	69	0.268482	NOK
5% type I error level	84	0.326848	NOK
10% type I error level	90	0.350195	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 & 69 & 0.268482 & NOK \tabularnewline
5% type I error level & 84 & 0.326848 & NOK \tabularnewline
10% type I error level & 90 & 0.350195 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268355&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]69[/C][C]0.268482[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]84[/C][C]0.326848[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]90[/C][C]0.350195[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268355&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268355&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	69	0.268482	NOK
5% type I error level	84	0.326848	NOK
10% type I error level	90	0.350195	NOK

Figure 1

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Figure 9

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Figure 10

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Parameters (Session):

par1 = grey ;

Parameters (R input):

par1 = 8 ; 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