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Author

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R Software Module

rwasp_multipleregression.wasp

Title produced by software

Multiple Regression

Date of computation

Fri, 12 Dec 2014 13:12:29 +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/12/t1418389975tj0vozwf4rpm1xo.htm/, Retrieved Thu, 16 May 2024 18:00:51 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=266645, Retrieved Thu, 16 May 2024 18:00:51 +0000

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Estimated Impact

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

-     [Multiple Regression] [] [2014-12-10 19:53:13] [02fb6cbf799bcf1e525e4e01c2f27ada]
-   PD    [Multiple Regression] [] [2014-12-12 13:12:29] [ec71b09431fe59ba6fc828a3f51756a9] [Current]

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Dataseries X:

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1.00 0.50 0.67 0.67 0.00 0.50 1
1.00 0.60 1.00 0.67 0.50 1.00 1
0.89 0.50 0.83 0.33 0.50 1.00 1
0.89 0.40 1.00 0.67 0.00 1.00 1
0.89 0.50 0.83 0.00 0.00 0.00 1
0.89 0.70 0.67 0.00 1.00 1.00 1
0.78 0.30 0.00 0.00 0.50 0.50 1
0.89 0.40 0.83 0.67 0.50 0.00 1
1.00 0.40 0.50 0.67 1.00 1.00 1
0.89 0.70 0.83 0.00 0.50 0.00 1
0.78 0.60 0.33 0.67 0.50 0.50 1
1.00 0.60 0.50 1.00 0.00 0.50 1
0.78 0.20 0.67 0.00 0.50 0.50 1
0.89 0.40 1.00 0.00 0.50 0.50 1
0.89 0.40 0.50 0.67 0.00 1.00 1
0.89 0.50 0.67 0.33 0.00 0.00 1
0.89 0.30 0.17 0.67 0.00 0.50 0
0.89 0.40 0.83 0.33 0.50 0.50 1
0.67 0.70 0.67 0.33 0.50 1.00 1
1.00 0.50 0.67 0.33 0.00 1.00 0
0.78 0.20 0.67 0.00 0.00 1.00 1
0.78 0.30 0.50 0.67 0.00 0.50 1
0.89 0.60 1.00 0.33 0.00 1.00 1
0.78 0.60 0.83 0.33 0.00 1.00 1
0.89 0.20 0.83 0.33 0.00 1.00 1
0.89 0.70 1.00 0.67 1.00 0.00 1
0.33 0.20 0.67 0.00 0.00 0.00 1
1.00 1.00 1.00 0.33 1.00 1.00 0
0.89 0.40 0.83 0.67 0.00 0.50 0
0.89 0.40 1.00 1.00 0.00 1.00 1
0.67 0.20 0.83 0.67 0.00 0.50 1
0.56 0.40 0.67 0.33 0.00 1.00 1
0.89 0.40 0.67 0.00 0.50 1.00 1
0.89 0.60 1.00 0.67 0.50 1.00 1
0.89 0.70 1.00 0.67 0.50 0.50 1
1.00 0.20 0.67 0.67 0.00 0.50 1
0.78 0.60 1.00 1.00 0.00 0.50 1
0.78 0.30 1.00 1.00 0.50 0.50 1
0.33 0.30 0.50 0.33 0.00 0.00 1
0.78 0.20 0.67 0.00 0.50 0.00 0
0.89 0.50 0.83 0.67 0.50 0.50 1
0.89 0.70 1.00 0.67 0.50 1.00 1
0.78 0.60 1.00 0.67 0.50 0.50 1
0.89 0.40 1.00 0.67 0.50 1.00 1
0.89 0.60 1.00 0.33 0.50 1.00 1
1.00 0.40 1.00 1.00 0.00 1.00 1
0.67 0.30 0.83 0.67 0.00 1.00 0
1.00 0.50 0.83 0.67 0.50 0.50 1
0.89 0.20 0.50 0.00 0.00 1.00 1
0.89 0.30 0.83 0.00 0.50 1.00 0
0.89 0.50 0.17 0.00 0.00 1.00 1
0.78 0.70 0.83 1.00 0.50 1.00 0
0.89 0.40 1.00 0.67 1.00 0.50 0
0.78 0.30 1.00 0.00 0.00 0.50 0
0.78 0.20 0.67 0.67 1.00 1.00 1
1.00 0.50 1.00 0.00 0.00 0.50 0
0.78 0.40 1.00 0.00 0.50 0.00 1
1.00 0.60 1.00 0.67 1.00 1.00 1
0.78 0.40 0.83 1.00 0.00 1.00 0
0.67 0.40 0.33 0.00 0.00 0.50 1
0.33 0.20 0.33 0.33 0.00 0.00 0
1.00 0.90 1.00 0.67 0.50 1.00 0
1.00 0.80 1.00 0.67 1.00 0.50 1
0.78 0.80 0.83 0.00 0.50 1.00 1
0.67 0.30 1.00 1.00 0.50 1.00 1
1.00 0.20 0.83 0.67 0.00 0.50 1
0.89 0.40 0.67 0.00 0.50 1.00 1
0.89 0.20 0.83 1.00 0.00 1.00 0
0.78 0.20 0.67 0.67 0.50 1.00 1
1.00 0.10 0.83 0.67 0.00 1.00 1
0.56 0.40 0.67 1.00 0.50 0.00 1
0.67 0.50 1.00 0.00 0.50 0.50 0
0.89 0.80 0.83 0.33 0.50 1.00 1
0.89 0.40 0.67 0.67 0.00 0.50 1
0.89 0.60 0.83 0.33 0.50 0.50 0
0.89 0.50 0.83 0.67 0.50 1.00 0
1.00 0.60 1.00 0.67 0.50 1.00 1
0.78 0.30 0.67 0.00 0.00 0.00 1
0.89 0.80 1.00 1.00 0.50 1.00 1
1.00 0.40 0.33 0.00 0.50 0.00 1
1.00 0.60 0.83 0.67 0.50 0.50 0
0.89 0.40 1.00 0.33 0.00 0.50 1
0.44 0.30 0.83 0.00 0.00 0.00 0
0.78 0.80 0.83 0.00 1.00 1.00 1
0.89 0.60 0.50 0.33 1.00 1.00 0
0.67 0.30 0.50 0.00 0.00 0.00 0
0.78 0.50 0.83 0.67 0.50 1.00 0
0.78 0.40 1.00 0.33 0.00 1.00 0
0.33 0.30 0.33 0.67 0.00 0.00 0
0.89 0.70 1.00 0.33 0.00 0.50 0
0.89 0.20 0.67 0.33 0.50 0.50 0
0.89 0.40 0.83 1.00 0.00 1.00 0
0.89 0.60 1.00 0.67 0.50 0.50 0
0.56 0.60 0.83 0.00 0.00 1.00 0
0.67 0.60 0.83 0.67 0.50 0.50 0
0.67 0.40 1.00 0.33 0.50 1.00 0
0.78 0.60 0.83 0.00 0.00 1.00 0
0.78 0.50 1.00 0.33 0.50 1.00 0
0.78 0.50 0.83 0.00 0.00 1.00 0
0.89 0.60 0.67 0.00 0.00 1.00 0
1.00 0.80 0.83 0.33 0.50 1.00 0
0.89 0.50 0.83 0.67 1.00 0.50 0
0.89 0.60 0.83 0.67 0.50 1.00 0
0.78 0.40 0.83 0.67 0.50 1.00 0
1.00 0.30 0.67 0.67 0.50 1.00 0
0.78 0.30 0.83 1.00 0.00 0.50 0
0.67 0.20 0.00 0.00 0.00 0.00 0
0.78 0.40 0.83 0.00 0.00 0.50 0
0.89 0.50 1.00 0.00 0.00 0.50 0
0.67 0.30 0.17 0.00 0.50 0.00 0
0.22 0.40 0.17 0.00 0.50 0.00 0
0.44 0.50 0.50 1.00 0.00 0.00 0
0.89 0.30 0.50 0.67 0.00 1.00 0
0.67 0.50 1.00 0.00 0.00 0.50 0
0.89 0.40 0.67 0.67 0.00 0.50 0
0.67 0.40 0.83 0.67 0.00 1.00 0
0.78 0.60 1.00 0.00 1.00 1.00 1
0.78 0.30 1.00 0.67 1.00 1.00 1
0.78 0.40 1.00 0.33 1.00 0.50 1
1.00 0.30 1.00 1.00 1.00 1.00 1
0.78 1.00 1.00 1.00 1.00 1.00 0
0.67 0.40 1.00 0.00 0.00 0.50 0
0.89 0.80 0.83 1.00 0.50 1.00 1
0.89 0.30 1.00 0.67 1.00 1.00 1
1.00 0.50 0.83 0.67 0.00 1.00 1
0.78 0.40 1.00 0.00 0.00 0.50 1
0.67 0.30 0.83 0.67 0.00 1.00 1
0.89 0.50 0.83 1.00 0.00 1.00 1
0.67 0.30 1.00 0.67 0.00 1.00 1
0.67 0.30 0.67 0.00 0.00 1.00 1
1.00 0.40 0.83 0.00 0.00 1.00 1
0.67 0.30 1.00 0.00 0.00 0.50 1
1.00 0.60 1.00 0.33 0.50 0.50 0
0.89 0.60 0.83 0.67 1.00 1.00 1
0.89 0.40 1.00 1.00 1.00 1.00 1
1.00 0.40 1.00 0.00 0.00 0.00 1
0.67 0.40 1.00 0.67 0.00 0.50 1
0.44 0.30 0.67 0.67 0.50 1.00 1
0.89 0.20 1.00 0.33 1.00 0.00 1
0.56 0.50 0.83 0.67 0.00 1.00 1
0.78 0.40 1.00 0.67 1.00 1.00 1
1.00 0.40 1.00 0.67 0.00 0.00 1
1.00 0.40 0.83 0.67 0.00 1.00 1
0.89 0.30 0.67 0.67 0.50 0.50 1
0.67 0.40 0.83 0.67 1.00 0.50 0
0.89 0.20 1.00 0.33 0.50 1.00 1
0.33 0.00 0.00 0.00 0.00 0.00 1
0.89 0.40 1.00 0.67 0.50 1.00 1
0.78 0.30 0.67 0.00 0.00 0.00 1
0.78 0.60 1.00 0.00 1.00 1.00 1
1.00 0.40 0.67 0.67 0.00 0.50 1
0.44 0.40 1.00 0.00 0.00 0.50 1
0.78 0.20 0.67 0.00 0.00 0.00 1
0.67 0.40 0.83 0.00 0.50 0.00 1
0.33 0.20 0.17 0.00 0.50 0.00 1
0.89 0.40 0.83 1.00 1.00 1.00 1
0.89 0.30 0.83 0.00 0.00 0.50 1
1.00 0.60 0.83 0.67 1.00 0.00 1
0.89 0.60 0.83 1.00 0.00 1.00 1
0.89 0.40 0.83 0.00 0.00 1.00 1
1.00 0.50 1.00 0.67 1.00 0.50 0
0.89 0.40 0.83 0.00 0.50 1.00 0
1.00 0.60 1.00 1.00 1.00 1.00 1
0.78 0.60 0.83 0.67 0.50 1.00 1
0.78 0.90 1.00 0.67 0.50 1.00 0
0.67 0.40 0.83 0.67 0.50 0.00 0
0.89 0.80 1.00 1.00 0.50 1.00 0
0.67 0.50 0.83 1.00 0.00 1.00 0
0.78 0.40 0.83 1.00 0.00 0.00 1
0.89 0.40 1.00 0.67 1.00 0.50 1
0.89 0.70 1.00 1.00 1.00 0.50 0
0.78 0.40 1.00 0.33 1.00 1.00 0
1.00 0.80 1.00 0.67 0.50 1.00 0
1.00 0.40 1.00 1.00 1.00 0.50 0
1.00 0.30 1.00 0.67 0.00 0.50 0
0.67 0.50 1.00 0.67 0.50 1.00 0
0.89 0.80 1.00 0.67 1.00 1.00 0
1.00 0.40 0.83 0.33 0.00 0.50 0
1.00 1.00 1.00 1.00 0.50 0.00 0
0.89 0.50 1.00 0.67 1.00 1.00 1
0.89 0.50 1.00 0.67 1.00 1.00 1
0.89 0.30 1.00 0.33 0.00 1.00 0
0.89 0.30 0.83 0.33 0.50 1.00 1
0.89 0.30 0.50 0.00 0.00 1.00 1
1.00 0.40 0.67 0.33 0.50 0.50 0
0.67 0.50 1.00 0.33 0.00 1.00 1
1.00 0.50 0.67 0.67 0.50 1.00 0
0.89 0.40 1.00 0.00 0.00 0.00 0
0.89 0.70 1.00 1.00 0.50 0.00 1
0.89 0.50 0.50 0.33 0.00 0.50 0
0.89 0.40 0.67 0.33 1.00 0.00 0
1.00 0.70 0.67 1.00 0.00 1.00 0
1.00 0.70 0.67 1.00 0.00 1.00 0
1.00 0.70 0.67 1.00 0.00 1.00 0
0.89 0.70 0.67 1.00 0.00 1.00 0
0.89 0.70 0.67 0.00 0.00 0.00 0
0.89 0.70 1.00 0.67 0.50 1.00 0
0.33 0.10 0.67 0.33 0.50 0.00 0
0.67 0.20 0.67 0.67 0.50 1.00 0
0.56 0.30 0.33 0.33 0.00 1.00 0
0.44 0.60 0.83 0.33 0.00 0.50 0
1.00 0.80 1.00 1.00 1.00 1.00 0
0.89 0.80 1.00 0.33 0.50 0.50 1
0.33 0.00 0.17 0.00 0.00 0.00 0
0.67 0.30 0.67 0.33 0.00 1.00 0
0.67 0.60 0.83 0.33 0.50 1.00 0
1.00 0.50 0.83 0.67 0.00 1.00 1
0.78 0.70 1.00 0.33 0.00 0.50 0
0.67 0.30 0.83 0.00 0.50 1.00 1
1.00 0.30 1.00 0.67 0.00 0.00 0
0.78 0.40 1.00 0.67 0.00 0.50 1
0.89 0.40 0.83 1.00 0.00 1.00 0
0.89 0.10 0.83 0.00 0.00 1.00 1
0.89 0.50 1.00 0.67 0.00 1.00 0
0.78 0.30 0.67 0.33 0.00 0.50 0
0.00 0.00 0.00 0.00 0.00 0.00 0
0.67 0.40 1.00 0.33 0.50 0.00 0
1.00 0.60 0.83 0.67 1.00 0.50 0
1.00 0.40 1.00 0.33 0.50 1.00 1
0.67 0.10 0.33 0.00 0.50 1.00 1
0.89 0.30 0.83 0.00 0.00 1.00 0
0.89 0.70 0.83 0.67 0.00 1.00 1
0.56 0.30 0.17 0.00 0.00 1.00 1
0.67 0.50 0.83 0.33 0.50 0.00 0
0.67 0.30 0.67 0.33 0.00 0.00 1
1.00 0.30 0.83 0.67 1.00 1.00 1
1.00 0.60 0.67 0.67 0.50 1.00 0
1.00 0.90 1.00 1.00 0.00 1.00 0
0.67 0.40 0.83 0.00 0.50 1.00 1
0.44 0.30 1.00 0.00 0.50 0.50 0
0.89 0.90 1.00 0.67 1.00 1.00 1
0.44 0.50 1.00 0.00 0.50 0.00 1
0.56 0.30 1.00 1.00 0.50 0.50 1
0.89 0.60 0.83 0.67 0.00 0.50 0
0.67 0.20 1.00 0.33 0.00 0.50 1
0.89 0.40 0.83 1.00 0.50 1.00 0
1.00 0.50 0.83 0.67 0.50 0.50 1
0.78 0.40 0.83 0.67 0.00 0.50 1
0.44 0.00 0.00 0.00 0.00 0.00 1
0.89 0.20 1.00 0.33 0.50 1.00 1
0.89 0.50 1.00 0.67 0.50 1.00 0
0.89 0.30 1.00 0.67 0.00 0.50 1
0.44 0.00 0.00 0.00 0.00 0.00 1
1.00 0.50 0.83 1.00 0.00 1.00 1
0.89 0.60 0.83 0.33 0.00 1.00 0
0.67 0.30 0.83 0.00 0.50 0.50 1
0.33 0.00 0.00 0.00 0.00 0.00 1
0.78 0.30 0.67 0.00 0.50 0.00 0
0.89 0.50 1.00 0.67 0.50 1.00 1
0.78 0.40 0.67 0.00 0.00 1.00 0
0.78 0.50 0.83 0.67 0.00 0.50 0
0.89 0.70 1.00 1.00 1.00 0.50 0
0.89 0.40 0.83 1.00 0.50 1.00 1
0.78 0.80 1.00 0.67 0.50 1.00 0
0.78 0.60 1.00 0.33 0.50 1.00 0
0.67 0.40 0.83 0.33 0.00 0.50 1
0.89 0.50 0.83 0.33 0.50 0.00 1
0.89 0.50 1.00 0.00 0.50 1.00 1
0.78 0.30 1.00 0.33 0.00 1.00 1
1.00 0.60 1.00 0.00 0.50 1.00 1
1.00 0.30 0.67 0.67 0.00 0.50 1
0.78 0.60 0.83 1.00 0.50 0.50 0
0.78 0.30 0.33 0.33 0.00 1.00 0
0.89 0.70 1.00 0.67 1.00 1.00 1
0.89 0.70 1.00 1.00 0.00 1.00 0
0.67 0.60 0.67 1.00 0.50 1.00 0
1.00 0.50 1.00 0.33 0.50 0.00 1
0.67 0.50 0.83 0.33 0.00 0.50 0
0.56 0.40 0.67 0.00 0.00 1.00 0
0.78 0.40 1.00 0.33 1.00 1.00 0
1.00 0.70 1.00 1.00 0.00 1.00 0
0.67 0.20 0.17 0.00 0.50 0.00 0
0.78 0.50 0.83 0.67 0.00 0.50 0
0.56 0.40 0.83 0.67 0.50 0.00 0
1.00 0.20 1.00 0.67 1.00 1.00 0
0.89 0.50 0.67 0.67 0.00 0.00 0
0.44 0.40 0.50 0.00 0.00 1.00 0
1.00 0.70 0.67 1.00 1.00 1.00 0
0.89 0.60 0.83 0.67 1.00 0.00 0
0.78 0.40 0.83 0.00 0.00 0.00 0
0.89 0.50 1.00 0.67 1.00 1.00 0
0.11 0.00 0.17 0.00 0.00 0.00 0
0.89 0.70 1.00 0.67 0.50 1.00 0
0.89 0.40 0.67 0.67 0.00 1.00 0
1.00 0.50 0.67 1.00 0.00 1.00 1
0.89 0.60 0.83 0.67 0.00 0.50 0
1.00 0.80 0.50 0.67 0.50 0.50 0

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	10 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 10 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266645&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]10 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266645&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266645&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	10 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

Multiple Linear Regression - Estimated Regression Equation
Bin_Course_id[t] = + 0.356294 + 0.419616Calculation[t] -0.71249Algebraic_Reasoning[t] + 0.164456Graphical_Interpretation[t] -0.102428Proportionality_and_Ratio[t] + 0.113682Probability_and_Sampling[t] + 0.0438293Estimation[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Bin_Course_id[t] =  +  0.356294 +  0.419616Calculation[t] -0.71249Algebraic_Reasoning[t] +  0.164456Graphical_Interpretation[t] -0.102428Proportionality_and_Ratio[t] +  0.113682Probability_and_Sampling[t] +  0.0438293Estimation[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266645&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Bin_Course_id[t] =  +  0.356294 +  0.419616Calculation[t] -0.71249Algebraic_Reasoning[t] +  0.164456Graphical_Interpretation[t] -0.102428Proportionality_and_Ratio[t] +  0.113682Probability_and_Sampling[t] +  0.0438293Estimation[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266645&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266645&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
Bin_Course_id[t] = + 0.356294 + 0.419616Calculation[t] -0.71249Algebraic_Reasoning[t] + 0.164456Graphical_Interpretation[t] -0.102428Proportionality_and_Ratio[t] + 0.113682Probability_and_Sampling[t] + 0.0438293Estimation[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)	0.356294	0.141666	2.515	0.0124629	0.00623144
Calculation	0.419616	0.196642	2.134	0.033719	0.0168595
Algebraic_Reasoning	-0.71249	0.179868	-3.961	9.46759e-05	4.73379e-05
Graphical_Interpretation	0.164456	0.145248	1.132	0.258502	0.129251
Proportionality_and_Ratio	-0.102428	0.0911053	-1.124	0.261858	0.130929
Probability_and_Sampling	0.113682	0.0838692	1.355	0.176361	0.0881803
Estimation	0.0438293	0.0805592	0.5441	0.586831	0.293415

\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) & 0.356294 & 0.141666 & 2.515 & 0.0124629 & 0.00623144 \tabularnewline
Calculation & 0.419616 & 0.196642 & 2.134 & 0.033719 & 0.0168595 \tabularnewline
Algebraic_Reasoning & -0.71249 & 0.179868 & -3.961 & 9.46759e-05 & 4.73379e-05 \tabularnewline
Graphical_Interpretation & 0.164456 & 0.145248 & 1.132 & 0.258502 & 0.129251 \tabularnewline
Proportionality_and_Ratio & -0.102428 & 0.0911053 & -1.124 & 0.261858 & 0.130929 \tabularnewline
Probability_and_Sampling & 0.113682 & 0.0838692 & 1.355 & 0.176361 & 0.0881803 \tabularnewline
Estimation & 0.0438293 & 0.0805592 & 0.5441 & 0.586831 & 0.293415 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266645&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]0.356294[/C][C]0.141666[/C][C]2.515[/C][C]0.0124629[/C][C]0.00623144[/C][/ROW]
[ROW][C]Calculation[/C][C]0.419616[/C][C]0.196642[/C][C]2.134[/C][C]0.033719[/C][C]0.0168595[/C][/ROW]
[ROW][C]Algebraic_Reasoning[/C][C]-0.71249[/C][C]0.179868[/C][C]-3.961[/C][C]9.46759e-05[/C][C]4.73379e-05[/C][/ROW]
[ROW][C]Graphical_Interpretation[/C][C]0.164456[/C][C]0.145248[/C][C]1.132[/C][C]0.258502[/C][C]0.129251[/C][/ROW]
[ROW][C]Proportionality_and_Ratio[/C][C]-0.102428[/C][C]0.0911053[/C][C]-1.124[/C][C]0.261858[/C][C]0.130929[/C][/ROW]
[ROW][C]Probability_and_Sampling[/C][C]0.113682[/C][C]0.0838692[/C][C]1.355[/C][C]0.176361[/C][C]0.0881803[/C][/ROW]
[ROW][C]Estimation[/C][C]0.0438293[/C][C]0.0805592[/C][C]0.5441[/C][C]0.586831[/C][C]0.293415[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266645&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266645&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)	0.356294	0.141666	2.515	0.0124629	0.00623144
Calculation	0.419616	0.196642	2.134	0.033719	0.0168595
Algebraic_Reasoning	-0.71249	0.179868	-3.961	9.46759e-05	4.73379e-05
Graphical_Interpretation	0.164456	0.145248	1.132	0.258502	0.129251
Proportionality_and_Ratio	-0.102428	0.0911053	-1.124	0.261858	0.130929
Probability_and_Sampling	0.113682	0.0838692	1.355	0.176361	0.0881803
Estimation	0.0438293	0.0805592	0.5441	0.586831	0.293415

Multiple Linear Regression - Regression Statistics
Multiple R	0.262059
R-squared	0.0686747
Adjusted R-squared	0.0487178
F-TEST (value)	3.44114
F-TEST (DF numerator)	6
F-TEST (DF denominator)	280
p-value	0.00269969
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.488019
Sum Squared Residuals	66.6855

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.262059 \tabularnewline
R-squared & 0.0686747 \tabularnewline
Adjusted R-squared & 0.0487178 \tabularnewline
F-TEST (value) & 3.44114 \tabularnewline
F-TEST (DF numerator) & 6 \tabularnewline
F-TEST (DF denominator) & 280 \tabularnewline
p-value & 0.00269969 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 0.488019 \tabularnewline
Sum Squared Residuals & 66.6855 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266645&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.262059[/C][/ROW]
[ROW][C]R-squared[/C][C]0.0686747[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.0487178[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]3.44114[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]6[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]280[/C][/ROW]
[ROW][C]p-value[/C][C]0.00269969[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]0.488019[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]66.6855[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266645&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266645&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	0.262059
R-squared	0.0686747
Adjusted R-squared	0.0487178
F-TEST (value)	3.44114
F-TEST (DF numerator)	6
F-TEST (DF denominator)	280
p-value	0.00269969
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.488019
Sum Squared Residuals	66.6855

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	1	0.483138	0.516862
2	1	0.544915	0.455085
3	1	0.576874	0.423126
4	1	0.584414	0.415586
5	1	0.510005	0.489995
6	1	0.498706	0.501294
7	1	0.548603	0.451397
8	1	0.569469	0.430531
9	1	0.662026	0.337974
10	1	0.424348	0.575652
11	1	0.3205	0.6795
12	1	0.35013	0.64987
13	1	0.730037	0.269963
14	1	0.687967	0.312033
15	1	0.502186	0.497814
16	1	0.449891	0.550109
17	0	0.49725	-0.49725
18	1	0.626209	0.373791
19	1	0.315748	0.684252
20	0	0.539878	-0.539878
21	1	0.695111	0.304889
22	1	0.505363	0.494637
23	1	0.476742	0.523258
24	1	0.402627	0.597373
25	1	0.73378	0.26622
26	1	0.44052	0.55948
27	1	0.462454	0.537546
28	0	0.351586	-0.351586
29	0	0.534542	-0.534542
30	1	0.550613	0.449387
31	1	0.584725	0.415275
32	1	0.426496	0.573504
33	1	0.655612	0.344388
34	1	0.498758	0.501242
35	1	0.405594	0.594406
36	1	0.696885	0.303115
37	1	0.340043	0.659957
38	1	0.610631	0.389369
39	1	0.329447	0.670553
40	0	0.708122	-0.708122
41	1	0.520134	0.479866
42	1	0.427509	0.572491
43	1	0.430685	0.569315
44	1	0.641255	0.358745
45	1	0.533583	0.466417
46	1	0.596771	0.403229
47	0	0.53539	-0.53539
48	1	0.566292	0.433708
49	1	0.713311	0.286689
50	0	0.753173	-0.753173
51	1	0.445294	0.554706
52	0	0.319592	-0.319592
53	0	0.676182	-0.676182
54	0	0.656218	-0.656218
55	1	0.740166	0.259834
56	0	0.606035	-0.606035
57	1	0.619895	0.380105
58	1	0.601756	0.398244
59	0	0.476498	-0.476498
60	1	0.428625	0.571375
61	0	0.372738	-0.372738
62	0	0.331168	-0.331168
63	1	0.437344	0.562656
64	1	0.350771	0.649229
65	1	0.586388	0.413612
66	1	0.723198	0.276802
67	1	0.655612	0.344388
68	0	0.665154	-0.665154
69	1	0.683325	0.316675
70	1	0.816362	0.183638
71	1	0.370881	0.629119
72	0	0.524403	-0.524403
73	1	0.363127	0.636873
74	1	0.508229	0.491771
75	0	0.483711	-0.483711
76	0	0.542049	-0.542049
77	1	0.544915	0.455085
78	1	0.580032	0.419968
79	1	0.322458	0.677542
80	1	0.602025	0.397975
81	0	0.495043	-0.495043
82	1	0.597325	0.402675
83	0	0.463676	-0.463676
84	1	0.407612	0.592388
85	0	0.508196	-0.508196
86	0	0.505917	-0.505917
87	0	0.495891	-0.495891
88	0	0.573082	-0.573082
89	0	0.266664	-0.266664
90	0	0.383578	-0.383578
91	0	0.742394	-0.742394
92	0	0.522656	-0.522656
93	0	0.476843	-0.476843
94	0	0.344112	-0.344112
95	0	0.35657	-0.35657
96	0	0.583765	-0.583765
97	0	0.436428	-0.436428
98	0	0.558674	-0.558674
99	0	0.507677	-0.507677
100	0	0.456273	-0.456273
101	0	0.409285	-0.409285
102	0	0.576975	-0.576975
103	0	0.4708	-0.4708
104	0	0.56714	-0.56714
105	0	0.704392	-0.704392
106	0	0.525832	-0.525832
107	0	0.494938	-0.494938
108	0	0.557011	-0.557011
109	0	0.559877	-0.559877
110	0	0.508488	-0.508488
111	0	0.248412	-0.248412
112	0	0.16448	-0.16448
113	0	0.573435	-0.573435
114	0	0.467562	-0.467562
115	0	0.508229	-0.508229
116	0	0.464141	-0.464141
117	1	0.578067	0.421933
118	1	0.723188	0.276812
119	1	0.66485	0.33515
120	1	0.781702	0.218298
121	0	0.190644	-0.190644
122	0	0.538811	-0.538811
123	1	0.294501	0.705499
124	1	0.769345	0.230655
125	1	0.531366	0.468634
126	1	0.584969	0.415031
127	1	0.53539	0.46461
128	1	0.451407	0.548593
129	1	0.563348	0.436652
130	1	0.577704	0.422296
131	1	0.671241	0.328759
132	1	0.61006	0.38994
133	0	0.557826	-0.557826
134	1	0.527641	0.472359
135	1	0.664295	0.335705
136	1	0.655369	0.344631
137	1	0.470184	0.529816
138	1	0.469407	0.530593
139	1	0.831591	0.168409
140	1	0.346735	0.653265
141	1	0.651939	0.348061
142	1	0.586743	0.413257
143	1	0.602615	0.397385
144	1	0.636319	0.363681
145	0	0.555909	-0.555909
146	1	0.818579	0.181421
147	1	0.494767	0.505233
148	1	0.641255	0.358745
149	1	0.580032	0.419968
150	1	0.578067	0.421933
151	1	0.554387	0.445613
152	1	0.442299	0.557701
153	1	0.651281	0.348719
154	1	0.54578	0.45422
155	1	0.437067	0.562933
156	1	0.636338	0.363662
157	1	0.674418	0.325582
158	1	0.529969	0.470031
159	1	0.380158	0.619842
160	1	0.625083	0.374917
161	0	0.651091	-0.651091
162	0	0.681925	-0.681925
163	1	0.567955	0.432045
164	1	0.424642	0.575358
165	0	0.238853	-0.238853
166	0	0.477153	-0.477153
167	0	0.322458	-0.322458
168	0	0.359091	-0.359091
169	1	0.432669	0.567331
170	1	0.676182	0.323818
171	0	0.428634	-0.428634
172	0	0.686764	-0.686764
173	0	0.402417	-0.402417
174	0	0.688538	-0.688538
175	0	0.679906	-0.679906
176	0	0.477691	-0.477691
177	0	0.413101	-0.413101
178	0	0.615525	-0.615525
179	0	0.182289	-0.182289
180	1	0.626848	0.373152
181	1	0.626848	0.373152
182	0	0.690489	-0.690489
183	1	0.719372	0.280628
184	1	0.642062	0.357938
185	0	0.646053	-0.646053
186	1	0.455675	0.544325
187	0	0.561894	-0.561894
188	0	0.609212	-0.609212
189	1	0.349878	0.650122
190	0	0.443848	-0.443848
191	0	0.634822	-0.634822
192	0	0.328754	-0.328754
193	0	0.328754	-0.328754
194	0	0.328754	-0.328754
195	0	0.282596	-0.282596
196	0	0.341194	-0.341194
197	0	0.427509	-0.427509
198	0	0.556743	-0.556743
199	0	0.637167	-0.637167
200	0	0.44183	-0.44183
201	0	0.238043	-0.238043
202	0	0.425457	-0.425457
203	1	0.36917	0.63083
204	0	0.522724	-0.522724
205	0	0.543903	-0.543903
206	0	0.41331	-0.41331
207	1	0.531366	0.468634
208	0	0.337421	-0.337421
209	1	0.660858	0.339142
210	0	0.657992	-0.657992
211	1	0.516342	0.483658
212	0	0.522656	-0.522656
213	1	0.83883	0.16117
214	0	0.513165	-0.513165
215	0	0.568146	-0.568146
216	0	0.356294	-0.356294
217	0	0.539936	-0.539936
218	0	0.551884	-0.551884
219	1	0.722239	0.277761
220	1	0.721128	0.278872
221	0	0.696332	-0.696332
222	1	0.34271	0.65729
223	1	0.449318	0.550682
224	0	0.44073	-0.44073
225	1	0.500074	0.499926
226	1	0.787546	0.212454
227	0	0.490645	-0.490645
228	0	0.240526	-0.240526
229	1	0.589609	0.410391
230	0	0.570389	-0.570389
231	1	0.341852	0.658148
232	1	0.405977	0.594023
233	1	0.518316	0.481684
234	0	0.392044	-0.392044
235	1	0.647508	0.352492
236	0	0.579497	-0.579497
237	1	0.566292	0.433708
238	1	0.488385	0.511615
239	1	0.540925	0.459075
240	1	0.818579	0.181421
241	0	0.570007	-0.570007
242	1	0.633749	0.366251
243	1	0.540925	0.459075
244	1	0.497565	0.502435
245	0	0.448784	-0.448784
246	1	0.638943	0.361057
247	1	0.494767	0.505233
248	0	0.636874	-0.636874
249	1	0.570007	0.429993
250	0	0.552613	-0.552613
251	0	0.417136	-0.417136
252	0	0.428634	-0.428634
253	1	0.579497	0.420503
254	0	0.310102	-0.310102
255	0	0.487425	-0.487425
256	1	0.477052	0.522948
257	1	0.533045	0.466955
258	1	0.638633	0.361367
259	1	0.644331	0.355669
260	1	0.613542	0.386458
261	1	0.625636	0.374364
262	0	0.368927	-0.368927
263	0	0.534146	-0.534146
264	1	0.48435	0.51565
265	0	0.336866	-0.336866
266	0	0.31837	-0.31837
267	1	0.60716	0.39284
268	0	0.405803	-0.405803
269	0	0.460297	-0.460297
270	0	0.686764	-0.686764
271	0	0.383024	-0.383024
272	0	0.579737	-0.579737
273	0	0.417136	-0.417136
274	0	0.430996	-0.430996
275	0	0.886752	-0.886752
276	0	0.415066	-0.415066
277	0	0.381986	-0.381986
278	0	0.442436	-0.442436
279	0	0.483812	-0.483812
280	0	0.535096	-0.535096
281	0	0.626848	-0.626848
282	0	0.430409	-0.430409
283	0	0.427509	-0.427509
284	0	0.530144	-0.530144
285	1	0.471252	0.528748
286	0	0.392044	-0.392044
287	0	0.298275	-0.298275

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 1 & 0.483138 & 0.516862 \tabularnewline
2 & 1 & 0.544915 & 0.455085 \tabularnewline
3 & 1 & 0.576874 & 0.423126 \tabularnewline
4 & 1 & 0.584414 & 0.415586 \tabularnewline
5 & 1 & 0.510005 & 0.489995 \tabularnewline
6 & 1 & 0.498706 & 0.501294 \tabularnewline
7 & 1 & 0.548603 & 0.451397 \tabularnewline
8 & 1 & 0.569469 & 0.430531 \tabularnewline
9 & 1 & 0.662026 & 0.337974 \tabularnewline
10 & 1 & 0.424348 & 0.575652 \tabularnewline
11 & 1 & 0.3205 & 0.6795 \tabularnewline
12 & 1 & 0.35013 & 0.64987 \tabularnewline
13 & 1 & 0.730037 & 0.269963 \tabularnewline
14 & 1 & 0.687967 & 0.312033 \tabularnewline
15 & 1 & 0.502186 & 0.497814 \tabularnewline
16 & 1 & 0.449891 & 0.550109 \tabularnewline
17 & 0 & 0.49725 & -0.49725 \tabularnewline
18 & 1 & 0.626209 & 0.373791 \tabularnewline
19 & 1 & 0.315748 & 0.684252 \tabularnewline
20 & 0 & 0.539878 & -0.539878 \tabularnewline
21 & 1 & 0.695111 & 0.304889 \tabularnewline
22 & 1 & 0.505363 & 0.494637 \tabularnewline
23 & 1 & 0.476742 & 0.523258 \tabularnewline
24 & 1 & 0.402627 & 0.597373 \tabularnewline
25 & 1 & 0.73378 & 0.26622 \tabularnewline
26 & 1 & 0.44052 & 0.55948 \tabularnewline
27 & 1 & 0.462454 & 0.537546 \tabularnewline
28 & 0 & 0.351586 & -0.351586 \tabularnewline
29 & 0 & 0.534542 & -0.534542 \tabularnewline
30 & 1 & 0.550613 & 0.449387 \tabularnewline
31 & 1 & 0.584725 & 0.415275 \tabularnewline
32 & 1 & 0.426496 & 0.573504 \tabularnewline
33 & 1 & 0.655612 & 0.344388 \tabularnewline
34 & 1 & 0.498758 & 0.501242 \tabularnewline
35 & 1 & 0.405594 & 0.594406 \tabularnewline
36 & 1 & 0.696885 & 0.303115 \tabularnewline
37 & 1 & 0.340043 & 0.659957 \tabularnewline
38 & 1 & 0.610631 & 0.389369 \tabularnewline
39 & 1 & 0.329447 & 0.670553 \tabularnewline
40 & 0 & 0.708122 & -0.708122 \tabularnewline
41 & 1 & 0.520134 & 0.479866 \tabularnewline
42 & 1 & 0.427509 & 0.572491 \tabularnewline
43 & 1 & 0.430685 & 0.569315 \tabularnewline
44 & 1 & 0.641255 & 0.358745 \tabularnewline
45 & 1 & 0.533583 & 0.466417 \tabularnewline
46 & 1 & 0.596771 & 0.403229 \tabularnewline
47 & 0 & 0.53539 & -0.53539 \tabularnewline
48 & 1 & 0.566292 & 0.433708 \tabularnewline
49 & 1 & 0.713311 & 0.286689 \tabularnewline
50 & 0 & 0.753173 & -0.753173 \tabularnewline
51 & 1 & 0.445294 & 0.554706 \tabularnewline
52 & 0 & 0.319592 & -0.319592 \tabularnewline
53 & 0 & 0.676182 & -0.676182 \tabularnewline
54 & 0 & 0.656218 & -0.656218 \tabularnewline
55 & 1 & 0.740166 & 0.259834 \tabularnewline
56 & 0 & 0.606035 & -0.606035 \tabularnewline
57 & 1 & 0.619895 & 0.380105 \tabularnewline
58 & 1 & 0.601756 & 0.398244 \tabularnewline
59 & 0 & 0.476498 & -0.476498 \tabularnewline
60 & 1 & 0.428625 & 0.571375 \tabularnewline
61 & 0 & 0.372738 & -0.372738 \tabularnewline
62 & 0 & 0.331168 & -0.331168 \tabularnewline
63 & 1 & 0.437344 & 0.562656 \tabularnewline
64 & 1 & 0.350771 & 0.649229 \tabularnewline
65 & 1 & 0.586388 & 0.413612 \tabularnewline
66 & 1 & 0.723198 & 0.276802 \tabularnewline
67 & 1 & 0.655612 & 0.344388 \tabularnewline
68 & 0 & 0.665154 & -0.665154 \tabularnewline
69 & 1 & 0.683325 & 0.316675 \tabularnewline
70 & 1 & 0.816362 & 0.183638 \tabularnewline
71 & 1 & 0.370881 & 0.629119 \tabularnewline
72 & 0 & 0.524403 & -0.524403 \tabularnewline
73 & 1 & 0.363127 & 0.636873 \tabularnewline
74 & 1 & 0.508229 & 0.491771 \tabularnewline
75 & 0 & 0.483711 & -0.483711 \tabularnewline
76 & 0 & 0.542049 & -0.542049 \tabularnewline
77 & 1 & 0.544915 & 0.455085 \tabularnewline
78 & 1 & 0.580032 & 0.419968 \tabularnewline
79 & 1 & 0.322458 & 0.677542 \tabularnewline
80 & 1 & 0.602025 & 0.397975 \tabularnewline
81 & 0 & 0.495043 & -0.495043 \tabularnewline
82 & 1 & 0.597325 & 0.402675 \tabularnewline
83 & 0 & 0.463676 & -0.463676 \tabularnewline
84 & 1 & 0.407612 & 0.592388 \tabularnewline
85 & 0 & 0.508196 & -0.508196 \tabularnewline
86 & 0 & 0.505917 & -0.505917 \tabularnewline
87 & 0 & 0.495891 & -0.495891 \tabularnewline
88 & 0 & 0.573082 & -0.573082 \tabularnewline
89 & 0 & 0.266664 & -0.266664 \tabularnewline
90 & 0 & 0.383578 & -0.383578 \tabularnewline
91 & 0 & 0.742394 & -0.742394 \tabularnewline
92 & 0 & 0.522656 & -0.522656 \tabularnewline
93 & 0 & 0.476843 & -0.476843 \tabularnewline
94 & 0 & 0.344112 & -0.344112 \tabularnewline
95 & 0 & 0.35657 & -0.35657 \tabularnewline
96 & 0 & 0.583765 & -0.583765 \tabularnewline
97 & 0 & 0.436428 & -0.436428 \tabularnewline
98 & 0 & 0.558674 & -0.558674 \tabularnewline
99 & 0 & 0.507677 & -0.507677 \tabularnewline
100 & 0 & 0.456273 & -0.456273 \tabularnewline
101 & 0 & 0.409285 & -0.409285 \tabularnewline
102 & 0 & 0.576975 & -0.576975 \tabularnewline
103 & 0 & 0.4708 & -0.4708 \tabularnewline
104 & 0 & 0.56714 & -0.56714 \tabularnewline
105 & 0 & 0.704392 & -0.704392 \tabularnewline
106 & 0 & 0.525832 & -0.525832 \tabularnewline
107 & 0 & 0.494938 & -0.494938 \tabularnewline
108 & 0 & 0.557011 & -0.557011 \tabularnewline
109 & 0 & 0.559877 & -0.559877 \tabularnewline
110 & 0 & 0.508488 & -0.508488 \tabularnewline
111 & 0 & 0.248412 & -0.248412 \tabularnewline
112 & 0 & 0.16448 & -0.16448 \tabularnewline
113 & 0 & 0.573435 & -0.573435 \tabularnewline
114 & 0 & 0.467562 & -0.467562 \tabularnewline
115 & 0 & 0.508229 & -0.508229 \tabularnewline
116 & 0 & 0.464141 & -0.464141 \tabularnewline
117 & 1 & 0.578067 & 0.421933 \tabularnewline
118 & 1 & 0.723188 & 0.276812 \tabularnewline
119 & 1 & 0.66485 & 0.33515 \tabularnewline
120 & 1 & 0.781702 & 0.218298 \tabularnewline
121 & 0 & 0.190644 & -0.190644 \tabularnewline
122 & 0 & 0.538811 & -0.538811 \tabularnewline
123 & 1 & 0.294501 & 0.705499 \tabularnewline
124 & 1 & 0.769345 & 0.230655 \tabularnewline
125 & 1 & 0.531366 & 0.468634 \tabularnewline
126 & 1 & 0.584969 & 0.415031 \tabularnewline
127 & 1 & 0.53539 & 0.46461 \tabularnewline
128 & 1 & 0.451407 & 0.548593 \tabularnewline
129 & 1 & 0.563348 & 0.436652 \tabularnewline
130 & 1 & 0.577704 & 0.422296 \tabularnewline
131 & 1 & 0.671241 & 0.328759 \tabularnewline
132 & 1 & 0.61006 & 0.38994 \tabularnewline
133 & 0 & 0.557826 & -0.557826 \tabularnewline
134 & 1 & 0.527641 & 0.472359 \tabularnewline
135 & 1 & 0.664295 & 0.335705 \tabularnewline
136 & 1 & 0.655369 & 0.344631 \tabularnewline
137 & 1 & 0.470184 & 0.529816 \tabularnewline
138 & 1 & 0.469407 & 0.530593 \tabularnewline
139 & 1 & 0.831591 & 0.168409 \tabularnewline
140 & 1 & 0.346735 & 0.653265 \tabularnewline
141 & 1 & 0.651939 & 0.348061 \tabularnewline
142 & 1 & 0.586743 & 0.413257 \tabularnewline
143 & 1 & 0.602615 & 0.397385 \tabularnewline
144 & 1 & 0.636319 & 0.363681 \tabularnewline
145 & 0 & 0.555909 & -0.555909 \tabularnewline
146 & 1 & 0.818579 & 0.181421 \tabularnewline
147 & 1 & 0.494767 & 0.505233 \tabularnewline
148 & 1 & 0.641255 & 0.358745 \tabularnewline
149 & 1 & 0.580032 & 0.419968 \tabularnewline
150 & 1 & 0.578067 & 0.421933 \tabularnewline
151 & 1 & 0.554387 & 0.445613 \tabularnewline
152 & 1 & 0.442299 & 0.557701 \tabularnewline
153 & 1 & 0.651281 & 0.348719 \tabularnewline
154 & 1 & 0.54578 & 0.45422 \tabularnewline
155 & 1 & 0.437067 & 0.562933 \tabularnewline
156 & 1 & 0.636338 & 0.363662 \tabularnewline
157 & 1 & 0.674418 & 0.325582 \tabularnewline
158 & 1 & 0.529969 & 0.470031 \tabularnewline
159 & 1 & 0.380158 & 0.619842 \tabularnewline
160 & 1 & 0.625083 & 0.374917 \tabularnewline
161 & 0 & 0.651091 & -0.651091 \tabularnewline
162 & 0 & 0.681925 & -0.681925 \tabularnewline
163 & 1 & 0.567955 & 0.432045 \tabularnewline
164 & 1 & 0.424642 & 0.575358 \tabularnewline
165 & 0 & 0.238853 & -0.238853 \tabularnewline
166 & 0 & 0.477153 & -0.477153 \tabularnewline
167 & 0 & 0.322458 & -0.322458 \tabularnewline
168 & 0 & 0.359091 & -0.359091 \tabularnewline
169 & 1 & 0.432669 & 0.567331 \tabularnewline
170 & 1 & 0.676182 & 0.323818 \tabularnewline
171 & 0 & 0.428634 & -0.428634 \tabularnewline
172 & 0 & 0.686764 & -0.686764 \tabularnewline
173 & 0 & 0.402417 & -0.402417 \tabularnewline
174 & 0 & 0.688538 & -0.688538 \tabularnewline
175 & 0 & 0.679906 & -0.679906 \tabularnewline
176 & 0 & 0.477691 & -0.477691 \tabularnewline
177 & 0 & 0.413101 & -0.413101 \tabularnewline
178 & 0 & 0.615525 & -0.615525 \tabularnewline
179 & 0 & 0.182289 & -0.182289 \tabularnewline
180 & 1 & 0.626848 & 0.373152 \tabularnewline
181 & 1 & 0.626848 & 0.373152 \tabularnewline
182 & 0 & 0.690489 & -0.690489 \tabularnewline
183 & 1 & 0.719372 & 0.280628 \tabularnewline
184 & 1 & 0.642062 & 0.357938 \tabularnewline
185 & 0 & 0.646053 & -0.646053 \tabularnewline
186 & 1 & 0.455675 & 0.544325 \tabularnewline
187 & 0 & 0.561894 & -0.561894 \tabularnewline
188 & 0 & 0.609212 & -0.609212 \tabularnewline
189 & 1 & 0.349878 & 0.650122 \tabularnewline
190 & 0 & 0.443848 & -0.443848 \tabularnewline
191 & 0 & 0.634822 & -0.634822 \tabularnewline
192 & 0 & 0.328754 & -0.328754 \tabularnewline
193 & 0 & 0.328754 & -0.328754 \tabularnewline
194 & 0 & 0.328754 & -0.328754 \tabularnewline
195 & 0 & 0.282596 & -0.282596 \tabularnewline
196 & 0 & 0.341194 & -0.341194 \tabularnewline
197 & 0 & 0.427509 & -0.427509 \tabularnewline
198 & 0 & 0.556743 & -0.556743 \tabularnewline
199 & 0 & 0.637167 & -0.637167 \tabularnewline
200 & 0 & 0.44183 & -0.44183 \tabularnewline
201 & 0 & 0.238043 & -0.238043 \tabularnewline
202 & 0 & 0.425457 & -0.425457 \tabularnewline
203 & 1 & 0.36917 & 0.63083 \tabularnewline
204 & 0 & 0.522724 & -0.522724 \tabularnewline
205 & 0 & 0.543903 & -0.543903 \tabularnewline
206 & 0 & 0.41331 & -0.41331 \tabularnewline
207 & 1 & 0.531366 & 0.468634 \tabularnewline
208 & 0 & 0.337421 & -0.337421 \tabularnewline
209 & 1 & 0.660858 & 0.339142 \tabularnewline
210 & 0 & 0.657992 & -0.657992 \tabularnewline
211 & 1 & 0.516342 & 0.483658 \tabularnewline
212 & 0 & 0.522656 & -0.522656 \tabularnewline
213 & 1 & 0.83883 & 0.16117 \tabularnewline
214 & 0 & 0.513165 & -0.513165 \tabularnewline
215 & 0 & 0.568146 & -0.568146 \tabularnewline
216 & 0 & 0.356294 & -0.356294 \tabularnewline
217 & 0 & 0.539936 & -0.539936 \tabularnewline
218 & 0 & 0.551884 & -0.551884 \tabularnewline
219 & 1 & 0.722239 & 0.277761 \tabularnewline
220 & 1 & 0.721128 & 0.278872 \tabularnewline
221 & 0 & 0.696332 & -0.696332 \tabularnewline
222 & 1 & 0.34271 & 0.65729 \tabularnewline
223 & 1 & 0.449318 & 0.550682 \tabularnewline
224 & 0 & 0.44073 & -0.44073 \tabularnewline
225 & 1 & 0.500074 & 0.499926 \tabularnewline
226 & 1 & 0.787546 & 0.212454 \tabularnewline
227 & 0 & 0.490645 & -0.490645 \tabularnewline
228 & 0 & 0.240526 & -0.240526 \tabularnewline
229 & 1 & 0.589609 & 0.410391 \tabularnewline
230 & 0 & 0.570389 & -0.570389 \tabularnewline
231 & 1 & 0.341852 & 0.658148 \tabularnewline
232 & 1 & 0.405977 & 0.594023 \tabularnewline
233 & 1 & 0.518316 & 0.481684 \tabularnewline
234 & 0 & 0.392044 & -0.392044 \tabularnewline
235 & 1 & 0.647508 & 0.352492 \tabularnewline
236 & 0 & 0.579497 & -0.579497 \tabularnewline
237 & 1 & 0.566292 & 0.433708 \tabularnewline
238 & 1 & 0.488385 & 0.511615 \tabularnewline
239 & 1 & 0.540925 & 0.459075 \tabularnewline
240 & 1 & 0.818579 & 0.181421 \tabularnewline
241 & 0 & 0.570007 & -0.570007 \tabularnewline
242 & 1 & 0.633749 & 0.366251 \tabularnewline
243 & 1 & 0.540925 & 0.459075 \tabularnewline
244 & 1 & 0.497565 & 0.502435 \tabularnewline
245 & 0 & 0.448784 & -0.448784 \tabularnewline
246 & 1 & 0.638943 & 0.361057 \tabularnewline
247 & 1 & 0.494767 & 0.505233 \tabularnewline
248 & 0 & 0.636874 & -0.636874 \tabularnewline
249 & 1 & 0.570007 & 0.429993 \tabularnewline
250 & 0 & 0.552613 & -0.552613 \tabularnewline
251 & 0 & 0.417136 & -0.417136 \tabularnewline
252 & 0 & 0.428634 & -0.428634 \tabularnewline
253 & 1 & 0.579497 & 0.420503 \tabularnewline
254 & 0 & 0.310102 & -0.310102 \tabularnewline
255 & 0 & 0.487425 & -0.487425 \tabularnewline
256 & 1 & 0.477052 & 0.522948 \tabularnewline
257 & 1 & 0.533045 & 0.466955 \tabularnewline
258 & 1 & 0.638633 & 0.361367 \tabularnewline
259 & 1 & 0.644331 & 0.355669 \tabularnewline
260 & 1 & 0.613542 & 0.386458 \tabularnewline
261 & 1 & 0.625636 & 0.374364 \tabularnewline
262 & 0 & 0.368927 & -0.368927 \tabularnewline
263 & 0 & 0.534146 & -0.534146 \tabularnewline
264 & 1 & 0.48435 & 0.51565 \tabularnewline
265 & 0 & 0.336866 & -0.336866 \tabularnewline
266 & 0 & 0.31837 & -0.31837 \tabularnewline
267 & 1 & 0.60716 & 0.39284 \tabularnewline
268 & 0 & 0.405803 & -0.405803 \tabularnewline
269 & 0 & 0.460297 & -0.460297 \tabularnewline
270 & 0 & 0.686764 & -0.686764 \tabularnewline
271 & 0 & 0.383024 & -0.383024 \tabularnewline
272 & 0 & 0.579737 & -0.579737 \tabularnewline
273 & 0 & 0.417136 & -0.417136 \tabularnewline
274 & 0 & 0.430996 & -0.430996 \tabularnewline
275 & 0 & 0.886752 & -0.886752 \tabularnewline
276 & 0 & 0.415066 & -0.415066 \tabularnewline
277 & 0 & 0.381986 & -0.381986 \tabularnewline
278 & 0 & 0.442436 & -0.442436 \tabularnewline
279 & 0 & 0.483812 & -0.483812 \tabularnewline
280 & 0 & 0.535096 & -0.535096 \tabularnewline
281 & 0 & 0.626848 & -0.626848 \tabularnewline
282 & 0 & 0.430409 & -0.430409 \tabularnewline
283 & 0 & 0.427509 & -0.427509 \tabularnewline
284 & 0 & 0.530144 & -0.530144 \tabularnewline
285 & 1 & 0.471252 & 0.528748 \tabularnewline
286 & 0 & 0.392044 & -0.392044 \tabularnewline
287 & 0 & 0.298275 & -0.298275 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266645&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]1[/C][C]0.483138[/C][C]0.516862[/C][/ROW]
[ROW][C]2[/C][C]1[/C][C]0.544915[/C][C]0.455085[/C][/ROW]
[ROW][C]3[/C][C]1[/C][C]0.576874[/C][C]0.423126[/C][/ROW]
[ROW][C]4[/C][C]1[/C][C]0.584414[/C][C]0.415586[/C][/ROW]
[ROW][C]5[/C][C]1[/C][C]0.510005[/C][C]0.489995[/C][/ROW]
[ROW][C]6[/C][C]1[/C][C]0.498706[/C][C]0.501294[/C][/ROW]
[ROW][C]7[/C][C]1[/C][C]0.548603[/C][C]0.451397[/C][/ROW]
[ROW][C]8[/C][C]1[/C][C]0.569469[/C][C]0.430531[/C][/ROW]
[ROW][C]9[/C][C]1[/C][C]0.662026[/C][C]0.337974[/C][/ROW]
[ROW][C]10[/C][C]1[/C][C]0.424348[/C][C]0.575652[/C][/ROW]
[ROW][C]11[/C][C]1[/C][C]0.3205[/C][C]0.6795[/C][/ROW]
[ROW][C]12[/C][C]1[/C][C]0.35013[/C][C]0.64987[/C][/ROW]
[ROW][C]13[/C][C]1[/C][C]0.730037[/C][C]0.269963[/C][/ROW]
[ROW][C]14[/C][C]1[/C][C]0.687967[/C][C]0.312033[/C][/ROW]
[ROW][C]15[/C][C]1[/C][C]0.502186[/C][C]0.497814[/C][/ROW]
[ROW][C]16[/C][C]1[/C][C]0.449891[/C][C]0.550109[/C][/ROW]
[ROW][C]17[/C][C]0[/C][C]0.49725[/C][C]-0.49725[/C][/ROW]
[ROW][C]18[/C][C]1[/C][C]0.626209[/C][C]0.373791[/C][/ROW]
[ROW][C]19[/C][C]1[/C][C]0.315748[/C][C]0.684252[/C][/ROW]
[ROW][C]20[/C][C]0[/C][C]0.539878[/C][C]-0.539878[/C][/ROW]
[ROW][C]21[/C][C]1[/C][C]0.695111[/C][C]0.304889[/C][/ROW]
[ROW][C]22[/C][C]1[/C][C]0.505363[/C][C]0.494637[/C][/ROW]
[ROW][C]23[/C][C]1[/C][C]0.476742[/C][C]0.523258[/C][/ROW]
[ROW][C]24[/C][C]1[/C][C]0.402627[/C][C]0.597373[/C][/ROW]
[ROW][C]25[/C][C]1[/C][C]0.73378[/C][C]0.26622[/C][/ROW]
[ROW][C]26[/C][C]1[/C][C]0.44052[/C][C]0.55948[/C][/ROW]
[ROW][C]27[/C][C]1[/C][C]0.462454[/C][C]0.537546[/C][/ROW]
[ROW][C]28[/C][C]0[/C][C]0.351586[/C][C]-0.351586[/C][/ROW]
[ROW][C]29[/C][C]0[/C][C]0.534542[/C][C]-0.534542[/C][/ROW]
[ROW][C]30[/C][C]1[/C][C]0.550613[/C][C]0.449387[/C][/ROW]
[ROW][C]31[/C][C]1[/C][C]0.584725[/C][C]0.415275[/C][/ROW]
[ROW][C]32[/C][C]1[/C][C]0.426496[/C][C]0.573504[/C][/ROW]
[ROW][C]33[/C][C]1[/C][C]0.655612[/C][C]0.344388[/C][/ROW]
[ROW][C]34[/C][C]1[/C][C]0.498758[/C][C]0.501242[/C][/ROW]
[ROW][C]35[/C][C]1[/C][C]0.405594[/C][C]0.594406[/C][/ROW]
[ROW][C]36[/C][C]1[/C][C]0.696885[/C][C]0.303115[/C][/ROW]
[ROW][C]37[/C][C]1[/C][C]0.340043[/C][C]0.659957[/C][/ROW]
[ROW][C]38[/C][C]1[/C][C]0.610631[/C][C]0.389369[/C][/ROW]
[ROW][C]39[/C][C]1[/C][C]0.329447[/C][C]0.670553[/C][/ROW]
[ROW][C]40[/C][C]0[/C][C]0.708122[/C][C]-0.708122[/C][/ROW]
[ROW][C]41[/C][C]1[/C][C]0.520134[/C][C]0.479866[/C][/ROW]
[ROW][C]42[/C][C]1[/C][C]0.427509[/C][C]0.572491[/C][/ROW]
[ROW][C]43[/C][C]1[/C][C]0.430685[/C][C]0.569315[/C][/ROW]
[ROW][C]44[/C][C]1[/C][C]0.641255[/C][C]0.358745[/C][/ROW]
[ROW][C]45[/C][C]1[/C][C]0.533583[/C][C]0.466417[/C][/ROW]
[ROW][C]46[/C][C]1[/C][C]0.596771[/C][C]0.403229[/C][/ROW]
[ROW][C]47[/C][C]0[/C][C]0.53539[/C][C]-0.53539[/C][/ROW]
[ROW][C]48[/C][C]1[/C][C]0.566292[/C][C]0.433708[/C][/ROW]
[ROW][C]49[/C][C]1[/C][C]0.713311[/C][C]0.286689[/C][/ROW]
[ROW][C]50[/C][C]0[/C][C]0.753173[/C][C]-0.753173[/C][/ROW]
[ROW][C]51[/C][C]1[/C][C]0.445294[/C][C]0.554706[/C][/ROW]
[ROW][C]52[/C][C]0[/C][C]0.319592[/C][C]-0.319592[/C][/ROW]
[ROW][C]53[/C][C]0[/C][C]0.676182[/C][C]-0.676182[/C][/ROW]
[ROW][C]54[/C][C]0[/C][C]0.656218[/C][C]-0.656218[/C][/ROW]
[ROW][C]55[/C][C]1[/C][C]0.740166[/C][C]0.259834[/C][/ROW]
[ROW][C]56[/C][C]0[/C][C]0.606035[/C][C]-0.606035[/C][/ROW]
[ROW][C]57[/C][C]1[/C][C]0.619895[/C][C]0.380105[/C][/ROW]
[ROW][C]58[/C][C]1[/C][C]0.601756[/C][C]0.398244[/C][/ROW]
[ROW][C]59[/C][C]0[/C][C]0.476498[/C][C]-0.476498[/C][/ROW]
[ROW][C]60[/C][C]1[/C][C]0.428625[/C][C]0.571375[/C][/ROW]
[ROW][C]61[/C][C]0[/C][C]0.372738[/C][C]-0.372738[/C][/ROW]
[ROW][C]62[/C][C]0[/C][C]0.331168[/C][C]-0.331168[/C][/ROW]
[ROW][C]63[/C][C]1[/C][C]0.437344[/C][C]0.562656[/C][/ROW]
[ROW][C]64[/C][C]1[/C][C]0.350771[/C][C]0.649229[/C][/ROW]
[ROW][C]65[/C][C]1[/C][C]0.586388[/C][C]0.413612[/C][/ROW]
[ROW][C]66[/C][C]1[/C][C]0.723198[/C][C]0.276802[/C][/ROW]
[ROW][C]67[/C][C]1[/C][C]0.655612[/C][C]0.344388[/C][/ROW]
[ROW][C]68[/C][C]0[/C][C]0.665154[/C][C]-0.665154[/C][/ROW]
[ROW][C]69[/C][C]1[/C][C]0.683325[/C][C]0.316675[/C][/ROW]
[ROW][C]70[/C][C]1[/C][C]0.816362[/C][C]0.183638[/C][/ROW]
[ROW][C]71[/C][C]1[/C][C]0.370881[/C][C]0.629119[/C][/ROW]
[ROW][C]72[/C][C]0[/C][C]0.524403[/C][C]-0.524403[/C][/ROW]
[ROW][C]73[/C][C]1[/C][C]0.363127[/C][C]0.636873[/C][/ROW]
[ROW][C]74[/C][C]1[/C][C]0.508229[/C][C]0.491771[/C][/ROW]
[ROW][C]75[/C][C]0[/C][C]0.483711[/C][C]-0.483711[/C][/ROW]
[ROW][C]76[/C][C]0[/C][C]0.542049[/C][C]-0.542049[/C][/ROW]
[ROW][C]77[/C][C]1[/C][C]0.544915[/C][C]0.455085[/C][/ROW]
[ROW][C]78[/C][C]1[/C][C]0.580032[/C][C]0.419968[/C][/ROW]
[ROW][C]79[/C][C]1[/C][C]0.322458[/C][C]0.677542[/C][/ROW]
[ROW][C]80[/C][C]1[/C][C]0.602025[/C][C]0.397975[/C][/ROW]
[ROW][C]81[/C][C]0[/C][C]0.495043[/C][C]-0.495043[/C][/ROW]
[ROW][C]82[/C][C]1[/C][C]0.597325[/C][C]0.402675[/C][/ROW]
[ROW][C]83[/C][C]0[/C][C]0.463676[/C][C]-0.463676[/C][/ROW]
[ROW][C]84[/C][C]1[/C][C]0.407612[/C][C]0.592388[/C][/ROW]
[ROW][C]85[/C][C]0[/C][C]0.508196[/C][C]-0.508196[/C][/ROW]
[ROW][C]86[/C][C]0[/C][C]0.505917[/C][C]-0.505917[/C][/ROW]
[ROW][C]87[/C][C]0[/C][C]0.495891[/C][C]-0.495891[/C][/ROW]
[ROW][C]88[/C][C]0[/C][C]0.573082[/C][C]-0.573082[/C][/ROW]
[ROW][C]89[/C][C]0[/C][C]0.266664[/C][C]-0.266664[/C][/ROW]
[ROW][C]90[/C][C]0[/C][C]0.383578[/C][C]-0.383578[/C][/ROW]
[ROW][C]91[/C][C]0[/C][C]0.742394[/C][C]-0.742394[/C][/ROW]
[ROW][C]92[/C][C]0[/C][C]0.522656[/C][C]-0.522656[/C][/ROW]
[ROW][C]93[/C][C]0[/C][C]0.476843[/C][C]-0.476843[/C][/ROW]
[ROW][C]94[/C][C]0[/C][C]0.344112[/C][C]-0.344112[/C][/ROW]
[ROW][C]95[/C][C]0[/C][C]0.35657[/C][C]-0.35657[/C][/ROW]
[ROW][C]96[/C][C]0[/C][C]0.583765[/C][C]-0.583765[/C][/ROW]
[ROW][C]97[/C][C]0[/C][C]0.436428[/C][C]-0.436428[/C][/ROW]
[ROW][C]98[/C][C]0[/C][C]0.558674[/C][C]-0.558674[/C][/ROW]
[ROW][C]99[/C][C]0[/C][C]0.507677[/C][C]-0.507677[/C][/ROW]
[ROW][C]100[/C][C]0[/C][C]0.456273[/C][C]-0.456273[/C][/ROW]
[ROW][C]101[/C][C]0[/C][C]0.409285[/C][C]-0.409285[/C][/ROW]
[ROW][C]102[/C][C]0[/C][C]0.576975[/C][C]-0.576975[/C][/ROW]
[ROW][C]103[/C][C]0[/C][C]0.4708[/C][C]-0.4708[/C][/ROW]
[ROW][C]104[/C][C]0[/C][C]0.56714[/C][C]-0.56714[/C][/ROW]
[ROW][C]105[/C][C]0[/C][C]0.704392[/C][C]-0.704392[/C][/ROW]
[ROW][C]106[/C][C]0[/C][C]0.525832[/C][C]-0.525832[/C][/ROW]
[ROW][C]107[/C][C]0[/C][C]0.494938[/C][C]-0.494938[/C][/ROW]
[ROW][C]108[/C][C]0[/C][C]0.557011[/C][C]-0.557011[/C][/ROW]
[ROW][C]109[/C][C]0[/C][C]0.559877[/C][C]-0.559877[/C][/ROW]
[ROW][C]110[/C][C]0[/C][C]0.508488[/C][C]-0.508488[/C][/ROW]
[ROW][C]111[/C][C]0[/C][C]0.248412[/C][C]-0.248412[/C][/ROW]
[ROW][C]112[/C][C]0[/C][C]0.16448[/C][C]-0.16448[/C][/ROW]
[ROW][C]113[/C][C]0[/C][C]0.573435[/C][C]-0.573435[/C][/ROW]
[ROW][C]114[/C][C]0[/C][C]0.467562[/C][C]-0.467562[/C][/ROW]
[ROW][C]115[/C][C]0[/C][C]0.508229[/C][C]-0.508229[/C][/ROW]
[ROW][C]116[/C][C]0[/C][C]0.464141[/C][C]-0.464141[/C][/ROW]
[ROW][C]117[/C][C]1[/C][C]0.578067[/C][C]0.421933[/C][/ROW]
[ROW][C]118[/C][C]1[/C][C]0.723188[/C][C]0.276812[/C][/ROW]
[ROW][C]119[/C][C]1[/C][C]0.66485[/C][C]0.33515[/C][/ROW]
[ROW][C]120[/C][C]1[/C][C]0.781702[/C][C]0.218298[/C][/ROW]
[ROW][C]121[/C][C]0[/C][C]0.190644[/C][C]-0.190644[/C][/ROW]
[ROW][C]122[/C][C]0[/C][C]0.538811[/C][C]-0.538811[/C][/ROW]
[ROW][C]123[/C][C]1[/C][C]0.294501[/C][C]0.705499[/C][/ROW]
[ROW][C]124[/C][C]1[/C][C]0.769345[/C][C]0.230655[/C][/ROW]
[ROW][C]125[/C][C]1[/C][C]0.531366[/C][C]0.468634[/C][/ROW]
[ROW][C]126[/C][C]1[/C][C]0.584969[/C][C]0.415031[/C][/ROW]
[ROW][C]127[/C][C]1[/C][C]0.53539[/C][C]0.46461[/C][/ROW]
[ROW][C]128[/C][C]1[/C][C]0.451407[/C][C]0.548593[/C][/ROW]
[ROW][C]129[/C][C]1[/C][C]0.563348[/C][C]0.436652[/C][/ROW]
[ROW][C]130[/C][C]1[/C][C]0.577704[/C][C]0.422296[/C][/ROW]
[ROW][C]131[/C][C]1[/C][C]0.671241[/C][C]0.328759[/C][/ROW]
[ROW][C]132[/C][C]1[/C][C]0.61006[/C][C]0.38994[/C][/ROW]
[ROW][C]133[/C][C]0[/C][C]0.557826[/C][C]-0.557826[/C][/ROW]
[ROW][C]134[/C][C]1[/C][C]0.527641[/C][C]0.472359[/C][/ROW]
[ROW][C]135[/C][C]1[/C][C]0.664295[/C][C]0.335705[/C][/ROW]
[ROW][C]136[/C][C]1[/C][C]0.655369[/C][C]0.344631[/C][/ROW]
[ROW][C]137[/C][C]1[/C][C]0.470184[/C][C]0.529816[/C][/ROW]
[ROW][C]138[/C][C]1[/C][C]0.469407[/C][C]0.530593[/C][/ROW]
[ROW][C]139[/C][C]1[/C][C]0.831591[/C][C]0.168409[/C][/ROW]
[ROW][C]140[/C][C]1[/C][C]0.346735[/C][C]0.653265[/C][/ROW]
[ROW][C]141[/C][C]1[/C][C]0.651939[/C][C]0.348061[/C][/ROW]
[ROW][C]142[/C][C]1[/C][C]0.586743[/C][C]0.413257[/C][/ROW]
[ROW][C]143[/C][C]1[/C][C]0.602615[/C][C]0.397385[/C][/ROW]
[ROW][C]144[/C][C]1[/C][C]0.636319[/C][C]0.363681[/C][/ROW]
[ROW][C]145[/C][C]0[/C][C]0.555909[/C][C]-0.555909[/C][/ROW]
[ROW][C]146[/C][C]1[/C][C]0.818579[/C][C]0.181421[/C][/ROW]
[ROW][C]147[/C][C]1[/C][C]0.494767[/C][C]0.505233[/C][/ROW]
[ROW][C]148[/C][C]1[/C][C]0.641255[/C][C]0.358745[/C][/ROW]
[ROW][C]149[/C][C]1[/C][C]0.580032[/C][C]0.419968[/C][/ROW]
[ROW][C]150[/C][C]1[/C][C]0.578067[/C][C]0.421933[/C][/ROW]
[ROW][C]151[/C][C]1[/C][C]0.554387[/C][C]0.445613[/C][/ROW]
[ROW][C]152[/C][C]1[/C][C]0.442299[/C][C]0.557701[/C][/ROW]
[ROW][C]153[/C][C]1[/C][C]0.651281[/C][C]0.348719[/C][/ROW]
[ROW][C]154[/C][C]1[/C][C]0.54578[/C][C]0.45422[/C][/ROW]
[ROW][C]155[/C][C]1[/C][C]0.437067[/C][C]0.562933[/C][/ROW]
[ROW][C]156[/C][C]1[/C][C]0.636338[/C][C]0.363662[/C][/ROW]
[ROW][C]157[/C][C]1[/C][C]0.674418[/C][C]0.325582[/C][/ROW]
[ROW][C]158[/C][C]1[/C][C]0.529969[/C][C]0.470031[/C][/ROW]
[ROW][C]159[/C][C]1[/C][C]0.380158[/C][C]0.619842[/C][/ROW]
[ROW][C]160[/C][C]1[/C][C]0.625083[/C][C]0.374917[/C][/ROW]
[ROW][C]161[/C][C]0[/C][C]0.651091[/C][C]-0.651091[/C][/ROW]
[ROW][C]162[/C][C]0[/C][C]0.681925[/C][C]-0.681925[/C][/ROW]
[ROW][C]163[/C][C]1[/C][C]0.567955[/C][C]0.432045[/C][/ROW]
[ROW][C]164[/C][C]1[/C][C]0.424642[/C][C]0.575358[/C][/ROW]
[ROW][C]165[/C][C]0[/C][C]0.238853[/C][C]-0.238853[/C][/ROW]
[ROW][C]166[/C][C]0[/C][C]0.477153[/C][C]-0.477153[/C][/ROW]
[ROW][C]167[/C][C]0[/C][C]0.322458[/C][C]-0.322458[/C][/ROW]
[ROW][C]168[/C][C]0[/C][C]0.359091[/C][C]-0.359091[/C][/ROW]
[ROW][C]169[/C][C]1[/C][C]0.432669[/C][C]0.567331[/C][/ROW]
[ROW][C]170[/C][C]1[/C][C]0.676182[/C][C]0.323818[/C][/ROW]
[ROW][C]171[/C][C]0[/C][C]0.428634[/C][C]-0.428634[/C][/ROW]
[ROW][C]172[/C][C]0[/C][C]0.686764[/C][C]-0.686764[/C][/ROW]
[ROW][C]173[/C][C]0[/C][C]0.402417[/C][C]-0.402417[/C][/ROW]
[ROW][C]174[/C][C]0[/C][C]0.688538[/C][C]-0.688538[/C][/ROW]
[ROW][C]175[/C][C]0[/C][C]0.679906[/C][C]-0.679906[/C][/ROW]
[ROW][C]176[/C][C]0[/C][C]0.477691[/C][C]-0.477691[/C][/ROW]
[ROW][C]177[/C][C]0[/C][C]0.413101[/C][C]-0.413101[/C][/ROW]
[ROW][C]178[/C][C]0[/C][C]0.615525[/C][C]-0.615525[/C][/ROW]
[ROW][C]179[/C][C]0[/C][C]0.182289[/C][C]-0.182289[/C][/ROW]
[ROW][C]180[/C][C]1[/C][C]0.626848[/C][C]0.373152[/C][/ROW]
[ROW][C]181[/C][C]1[/C][C]0.626848[/C][C]0.373152[/C][/ROW]
[ROW][C]182[/C][C]0[/C][C]0.690489[/C][C]-0.690489[/C][/ROW]
[ROW][C]183[/C][C]1[/C][C]0.719372[/C][C]0.280628[/C][/ROW]
[ROW][C]184[/C][C]1[/C][C]0.642062[/C][C]0.357938[/C][/ROW]
[ROW][C]185[/C][C]0[/C][C]0.646053[/C][C]-0.646053[/C][/ROW]
[ROW][C]186[/C][C]1[/C][C]0.455675[/C][C]0.544325[/C][/ROW]
[ROW][C]187[/C][C]0[/C][C]0.561894[/C][C]-0.561894[/C][/ROW]
[ROW][C]188[/C][C]0[/C][C]0.609212[/C][C]-0.609212[/C][/ROW]
[ROW][C]189[/C][C]1[/C][C]0.349878[/C][C]0.650122[/C][/ROW]
[ROW][C]190[/C][C]0[/C][C]0.443848[/C][C]-0.443848[/C][/ROW]
[ROW][C]191[/C][C]0[/C][C]0.634822[/C][C]-0.634822[/C][/ROW]
[ROW][C]192[/C][C]0[/C][C]0.328754[/C][C]-0.328754[/C][/ROW]
[ROW][C]193[/C][C]0[/C][C]0.328754[/C][C]-0.328754[/C][/ROW]
[ROW][C]194[/C][C]0[/C][C]0.328754[/C][C]-0.328754[/C][/ROW]
[ROW][C]195[/C][C]0[/C][C]0.282596[/C][C]-0.282596[/C][/ROW]
[ROW][C]196[/C][C]0[/C][C]0.341194[/C][C]-0.341194[/C][/ROW]
[ROW][C]197[/C][C]0[/C][C]0.427509[/C][C]-0.427509[/C][/ROW]
[ROW][C]198[/C][C]0[/C][C]0.556743[/C][C]-0.556743[/C][/ROW]
[ROW][C]199[/C][C]0[/C][C]0.637167[/C][C]-0.637167[/C][/ROW]
[ROW][C]200[/C][C]0[/C][C]0.44183[/C][C]-0.44183[/C][/ROW]
[ROW][C]201[/C][C]0[/C][C]0.238043[/C][C]-0.238043[/C][/ROW]
[ROW][C]202[/C][C]0[/C][C]0.425457[/C][C]-0.425457[/C][/ROW]
[ROW][C]203[/C][C]1[/C][C]0.36917[/C][C]0.63083[/C][/ROW]
[ROW][C]204[/C][C]0[/C][C]0.522724[/C][C]-0.522724[/C][/ROW]
[ROW][C]205[/C][C]0[/C][C]0.543903[/C][C]-0.543903[/C][/ROW]
[ROW][C]206[/C][C]0[/C][C]0.41331[/C][C]-0.41331[/C][/ROW]
[ROW][C]207[/C][C]1[/C][C]0.531366[/C][C]0.468634[/C][/ROW]
[ROW][C]208[/C][C]0[/C][C]0.337421[/C][C]-0.337421[/C][/ROW]
[ROW][C]209[/C][C]1[/C][C]0.660858[/C][C]0.339142[/C][/ROW]
[ROW][C]210[/C][C]0[/C][C]0.657992[/C][C]-0.657992[/C][/ROW]
[ROW][C]211[/C][C]1[/C][C]0.516342[/C][C]0.483658[/C][/ROW]
[ROW][C]212[/C][C]0[/C][C]0.522656[/C][C]-0.522656[/C][/ROW]
[ROW][C]213[/C][C]1[/C][C]0.83883[/C][C]0.16117[/C][/ROW]
[ROW][C]214[/C][C]0[/C][C]0.513165[/C][C]-0.513165[/C][/ROW]
[ROW][C]215[/C][C]0[/C][C]0.568146[/C][C]-0.568146[/C][/ROW]
[ROW][C]216[/C][C]0[/C][C]0.356294[/C][C]-0.356294[/C][/ROW]
[ROW][C]217[/C][C]0[/C][C]0.539936[/C][C]-0.539936[/C][/ROW]
[ROW][C]218[/C][C]0[/C][C]0.551884[/C][C]-0.551884[/C][/ROW]
[ROW][C]219[/C][C]1[/C][C]0.722239[/C][C]0.277761[/C][/ROW]
[ROW][C]220[/C][C]1[/C][C]0.721128[/C][C]0.278872[/C][/ROW]
[ROW][C]221[/C][C]0[/C][C]0.696332[/C][C]-0.696332[/C][/ROW]
[ROW][C]222[/C][C]1[/C][C]0.34271[/C][C]0.65729[/C][/ROW]
[ROW][C]223[/C][C]1[/C][C]0.449318[/C][C]0.550682[/C][/ROW]
[ROW][C]224[/C][C]0[/C][C]0.44073[/C][C]-0.44073[/C][/ROW]
[ROW][C]225[/C][C]1[/C][C]0.500074[/C][C]0.499926[/C][/ROW]
[ROW][C]226[/C][C]1[/C][C]0.787546[/C][C]0.212454[/C][/ROW]
[ROW][C]227[/C][C]0[/C][C]0.490645[/C][C]-0.490645[/C][/ROW]
[ROW][C]228[/C][C]0[/C][C]0.240526[/C][C]-0.240526[/C][/ROW]
[ROW][C]229[/C][C]1[/C][C]0.589609[/C][C]0.410391[/C][/ROW]
[ROW][C]230[/C][C]0[/C][C]0.570389[/C][C]-0.570389[/C][/ROW]
[ROW][C]231[/C][C]1[/C][C]0.341852[/C][C]0.658148[/C][/ROW]
[ROW][C]232[/C][C]1[/C][C]0.405977[/C][C]0.594023[/C][/ROW]
[ROW][C]233[/C][C]1[/C][C]0.518316[/C][C]0.481684[/C][/ROW]
[ROW][C]234[/C][C]0[/C][C]0.392044[/C][C]-0.392044[/C][/ROW]
[ROW][C]235[/C][C]1[/C][C]0.647508[/C][C]0.352492[/C][/ROW]
[ROW][C]236[/C][C]0[/C][C]0.579497[/C][C]-0.579497[/C][/ROW]
[ROW][C]237[/C][C]1[/C][C]0.566292[/C][C]0.433708[/C][/ROW]
[ROW][C]238[/C][C]1[/C][C]0.488385[/C][C]0.511615[/C][/ROW]
[ROW][C]239[/C][C]1[/C][C]0.540925[/C][C]0.459075[/C][/ROW]
[ROW][C]240[/C][C]1[/C][C]0.818579[/C][C]0.181421[/C][/ROW]
[ROW][C]241[/C][C]0[/C][C]0.570007[/C][C]-0.570007[/C][/ROW]
[ROW][C]242[/C][C]1[/C][C]0.633749[/C][C]0.366251[/C][/ROW]
[ROW][C]243[/C][C]1[/C][C]0.540925[/C][C]0.459075[/C][/ROW]
[ROW][C]244[/C][C]1[/C][C]0.497565[/C][C]0.502435[/C][/ROW]
[ROW][C]245[/C][C]0[/C][C]0.448784[/C][C]-0.448784[/C][/ROW]
[ROW][C]246[/C][C]1[/C][C]0.638943[/C][C]0.361057[/C][/ROW]
[ROW][C]247[/C][C]1[/C][C]0.494767[/C][C]0.505233[/C][/ROW]
[ROW][C]248[/C][C]0[/C][C]0.636874[/C][C]-0.636874[/C][/ROW]
[ROW][C]249[/C][C]1[/C][C]0.570007[/C][C]0.429993[/C][/ROW]
[ROW][C]250[/C][C]0[/C][C]0.552613[/C][C]-0.552613[/C][/ROW]
[ROW][C]251[/C][C]0[/C][C]0.417136[/C][C]-0.417136[/C][/ROW]
[ROW][C]252[/C][C]0[/C][C]0.428634[/C][C]-0.428634[/C][/ROW]
[ROW][C]253[/C][C]1[/C][C]0.579497[/C][C]0.420503[/C][/ROW]
[ROW][C]254[/C][C]0[/C][C]0.310102[/C][C]-0.310102[/C][/ROW]
[ROW][C]255[/C][C]0[/C][C]0.487425[/C][C]-0.487425[/C][/ROW]
[ROW][C]256[/C][C]1[/C][C]0.477052[/C][C]0.522948[/C][/ROW]
[ROW][C]257[/C][C]1[/C][C]0.533045[/C][C]0.466955[/C][/ROW]
[ROW][C]258[/C][C]1[/C][C]0.638633[/C][C]0.361367[/C][/ROW]
[ROW][C]259[/C][C]1[/C][C]0.644331[/C][C]0.355669[/C][/ROW]
[ROW][C]260[/C][C]1[/C][C]0.613542[/C][C]0.386458[/C][/ROW]
[ROW][C]261[/C][C]1[/C][C]0.625636[/C][C]0.374364[/C][/ROW]
[ROW][C]262[/C][C]0[/C][C]0.368927[/C][C]-0.368927[/C][/ROW]
[ROW][C]263[/C][C]0[/C][C]0.534146[/C][C]-0.534146[/C][/ROW]
[ROW][C]264[/C][C]1[/C][C]0.48435[/C][C]0.51565[/C][/ROW]
[ROW][C]265[/C][C]0[/C][C]0.336866[/C][C]-0.336866[/C][/ROW]
[ROW][C]266[/C][C]0[/C][C]0.31837[/C][C]-0.31837[/C][/ROW]
[ROW][C]267[/C][C]1[/C][C]0.60716[/C][C]0.39284[/C][/ROW]
[ROW][C]268[/C][C]0[/C][C]0.405803[/C][C]-0.405803[/C][/ROW]
[ROW][C]269[/C][C]0[/C][C]0.460297[/C][C]-0.460297[/C][/ROW]
[ROW][C]270[/C][C]0[/C][C]0.686764[/C][C]-0.686764[/C][/ROW]
[ROW][C]271[/C][C]0[/C][C]0.383024[/C][C]-0.383024[/C][/ROW]
[ROW][C]272[/C][C]0[/C][C]0.579737[/C][C]-0.579737[/C][/ROW]
[ROW][C]273[/C][C]0[/C][C]0.417136[/C][C]-0.417136[/C][/ROW]
[ROW][C]274[/C][C]0[/C][C]0.430996[/C][C]-0.430996[/C][/ROW]
[ROW][C]275[/C][C]0[/C][C]0.886752[/C][C]-0.886752[/C][/ROW]
[ROW][C]276[/C][C]0[/C][C]0.415066[/C][C]-0.415066[/C][/ROW]
[ROW][C]277[/C][C]0[/C][C]0.381986[/C][C]-0.381986[/C][/ROW]
[ROW][C]278[/C][C]0[/C][C]0.442436[/C][C]-0.442436[/C][/ROW]
[ROW][C]279[/C][C]0[/C][C]0.483812[/C][C]-0.483812[/C][/ROW]
[ROW][C]280[/C][C]0[/C][C]0.535096[/C][C]-0.535096[/C][/ROW]
[ROW][C]281[/C][C]0[/C][C]0.626848[/C][C]-0.626848[/C][/ROW]
[ROW][C]282[/C][C]0[/C][C]0.430409[/C][C]-0.430409[/C][/ROW]
[ROW][C]283[/C][C]0[/C][C]0.427509[/C][C]-0.427509[/C][/ROW]
[ROW][C]284[/C][C]0[/C][C]0.530144[/C][C]-0.530144[/C][/ROW]
[ROW][C]285[/C][C]1[/C][C]0.471252[/C][C]0.528748[/C][/ROW]
[ROW][C]286[/C][C]0[/C][C]0.392044[/C][C]-0.392044[/C][/ROW]
[ROW][C]287[/C][C]0[/C][C]0.298275[/C][C]-0.298275[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266645&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266645&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	1	0.483138	0.516862
2	1	0.544915	0.455085
3	1	0.576874	0.423126
4	1	0.584414	0.415586
5	1	0.510005	0.489995
6	1	0.498706	0.501294
7	1	0.548603	0.451397
8	1	0.569469	0.430531
9	1	0.662026	0.337974
10	1	0.424348	0.575652
11	1	0.3205	0.6795
12	1	0.35013	0.64987
13	1	0.730037	0.269963
14	1	0.687967	0.312033
15	1	0.502186	0.497814
16	1	0.449891	0.550109
17	0	0.49725	-0.49725
18	1	0.626209	0.373791
19	1	0.315748	0.684252
20	0	0.539878	-0.539878
21	1	0.695111	0.304889
22	1	0.505363	0.494637
23	1	0.476742	0.523258
24	1	0.402627	0.597373
25	1	0.73378	0.26622
26	1	0.44052	0.55948
27	1	0.462454	0.537546
28	0	0.351586	-0.351586
29	0	0.534542	-0.534542
30	1	0.550613	0.449387
31	1	0.584725	0.415275
32	1	0.426496	0.573504
33	1	0.655612	0.344388
34	1	0.498758	0.501242
35	1	0.405594	0.594406
36	1	0.696885	0.303115
37	1	0.340043	0.659957
38	1	0.610631	0.389369
39	1	0.329447	0.670553
40	0	0.708122	-0.708122
41	1	0.520134	0.479866
42	1	0.427509	0.572491
43	1	0.430685	0.569315
44	1	0.641255	0.358745
45	1	0.533583	0.466417
46	1	0.596771	0.403229
47	0	0.53539	-0.53539
48	1	0.566292	0.433708
49	1	0.713311	0.286689
50	0	0.753173	-0.753173
51	1	0.445294	0.554706
52	0	0.319592	-0.319592
53	0	0.676182	-0.676182
54	0	0.656218	-0.656218
55	1	0.740166	0.259834
56	0	0.606035	-0.606035
57	1	0.619895	0.380105
58	1	0.601756	0.398244
59	0	0.476498	-0.476498
60	1	0.428625	0.571375
61	0	0.372738	-0.372738
62	0	0.331168	-0.331168
63	1	0.437344	0.562656
64	1	0.350771	0.649229
65	1	0.586388	0.413612
66	1	0.723198	0.276802
67	1	0.655612	0.344388
68	0	0.665154	-0.665154
69	1	0.683325	0.316675
70	1	0.816362	0.183638
71	1	0.370881	0.629119
72	0	0.524403	-0.524403
73	1	0.363127	0.636873
74	1	0.508229	0.491771
75	0	0.483711	-0.483711
76	0	0.542049	-0.542049
77	1	0.544915	0.455085
78	1	0.580032	0.419968
79	1	0.322458	0.677542
80	1	0.602025	0.397975
81	0	0.495043	-0.495043
82	1	0.597325	0.402675
83	0	0.463676	-0.463676
84	1	0.407612	0.592388
85	0	0.508196	-0.508196
86	0	0.505917	-0.505917
87	0	0.495891	-0.495891
88	0	0.573082	-0.573082
89	0	0.266664	-0.266664
90	0	0.383578	-0.383578
91	0	0.742394	-0.742394
92	0	0.522656	-0.522656
93	0	0.476843	-0.476843
94	0	0.344112	-0.344112
95	0	0.35657	-0.35657
96	0	0.583765	-0.583765
97	0	0.436428	-0.436428
98	0	0.558674	-0.558674
99	0	0.507677	-0.507677
100	0	0.456273	-0.456273
101	0	0.409285	-0.409285
102	0	0.576975	-0.576975
103	0	0.4708	-0.4708
104	0	0.56714	-0.56714
105	0	0.704392	-0.704392
106	0	0.525832	-0.525832
107	0	0.494938	-0.494938
108	0	0.557011	-0.557011
109	0	0.559877	-0.559877
110	0	0.508488	-0.508488
111	0	0.248412	-0.248412
112	0	0.16448	-0.16448
113	0	0.573435	-0.573435
114	0	0.467562	-0.467562
115	0	0.508229	-0.508229
116	0	0.464141	-0.464141
117	1	0.578067	0.421933
118	1	0.723188	0.276812
119	1	0.66485	0.33515
120	1	0.781702	0.218298
121	0	0.190644	-0.190644
122	0	0.538811	-0.538811
123	1	0.294501	0.705499
124	1	0.769345	0.230655
125	1	0.531366	0.468634
126	1	0.584969	0.415031
127	1	0.53539	0.46461
128	1	0.451407	0.548593
129	1	0.563348	0.436652
130	1	0.577704	0.422296
131	1	0.671241	0.328759
132	1	0.61006	0.38994
133	0	0.557826	-0.557826
134	1	0.527641	0.472359
135	1	0.664295	0.335705
136	1	0.655369	0.344631
137	1	0.470184	0.529816
138	1	0.469407	0.530593
139	1	0.831591	0.168409
140	1	0.346735	0.653265
141	1	0.651939	0.348061
142	1	0.586743	0.413257
143	1	0.602615	0.397385
144	1	0.636319	0.363681
145	0	0.555909	-0.555909
146	1	0.818579	0.181421
147	1	0.494767	0.505233
148	1	0.641255	0.358745
149	1	0.580032	0.419968
150	1	0.578067	0.421933
151	1	0.554387	0.445613
152	1	0.442299	0.557701
153	1	0.651281	0.348719
154	1	0.54578	0.45422
155	1	0.437067	0.562933
156	1	0.636338	0.363662
157	1	0.674418	0.325582
158	1	0.529969	0.470031
159	1	0.380158	0.619842
160	1	0.625083	0.374917
161	0	0.651091	-0.651091
162	0	0.681925	-0.681925
163	1	0.567955	0.432045
164	1	0.424642	0.575358
165	0	0.238853	-0.238853
166	0	0.477153	-0.477153
167	0	0.322458	-0.322458
168	0	0.359091	-0.359091
169	1	0.432669	0.567331
170	1	0.676182	0.323818
171	0	0.428634	-0.428634
172	0	0.686764	-0.686764
173	0	0.402417	-0.402417
174	0	0.688538	-0.688538
175	0	0.679906	-0.679906
176	0	0.477691	-0.477691
177	0	0.413101	-0.413101
178	0	0.615525	-0.615525
179	0	0.182289	-0.182289
180	1	0.626848	0.373152
181	1	0.626848	0.373152
182	0	0.690489	-0.690489
183	1	0.719372	0.280628
184	1	0.642062	0.357938
185	0	0.646053	-0.646053
186	1	0.455675	0.544325
187	0	0.561894	-0.561894
188	0	0.609212	-0.609212
189	1	0.349878	0.650122
190	0	0.443848	-0.443848
191	0	0.634822	-0.634822
192	0	0.328754	-0.328754
193	0	0.328754	-0.328754
194	0	0.328754	-0.328754
195	0	0.282596	-0.282596
196	0	0.341194	-0.341194
197	0	0.427509	-0.427509
198	0	0.556743	-0.556743
199	0	0.637167	-0.637167
200	0	0.44183	-0.44183
201	0	0.238043	-0.238043
202	0	0.425457	-0.425457
203	1	0.36917	0.63083
204	0	0.522724	-0.522724
205	0	0.543903	-0.543903
206	0	0.41331	-0.41331
207	1	0.531366	0.468634
208	0	0.337421	-0.337421
209	1	0.660858	0.339142
210	0	0.657992	-0.657992
211	1	0.516342	0.483658
212	0	0.522656	-0.522656
213	1	0.83883	0.16117
214	0	0.513165	-0.513165
215	0	0.568146	-0.568146
216	0	0.356294	-0.356294
217	0	0.539936	-0.539936
218	0	0.551884	-0.551884
219	1	0.722239	0.277761
220	1	0.721128	0.278872
221	0	0.696332	-0.696332
222	1	0.34271	0.65729
223	1	0.449318	0.550682
224	0	0.44073	-0.44073
225	1	0.500074	0.499926
226	1	0.787546	0.212454
227	0	0.490645	-0.490645
228	0	0.240526	-0.240526
229	1	0.589609	0.410391
230	0	0.570389	-0.570389
231	1	0.341852	0.658148
232	1	0.405977	0.594023
233	1	0.518316	0.481684
234	0	0.392044	-0.392044
235	1	0.647508	0.352492
236	0	0.579497	-0.579497
237	1	0.566292	0.433708
238	1	0.488385	0.511615
239	1	0.540925	0.459075
240	1	0.818579	0.181421
241	0	0.570007	-0.570007
242	1	0.633749	0.366251
243	1	0.540925	0.459075
244	1	0.497565	0.502435
245	0	0.448784	-0.448784
246	1	0.638943	0.361057
247	1	0.494767	0.505233
248	0	0.636874	-0.636874
249	1	0.570007	0.429993
250	0	0.552613	-0.552613
251	0	0.417136	-0.417136
252	0	0.428634	-0.428634
253	1	0.579497	0.420503
254	0	0.310102	-0.310102
255	0	0.487425	-0.487425
256	1	0.477052	0.522948
257	1	0.533045	0.466955
258	1	0.638633	0.361367
259	1	0.644331	0.355669
260	1	0.613542	0.386458
261	1	0.625636	0.374364
262	0	0.368927	-0.368927
263	0	0.534146	-0.534146
264	1	0.48435	0.51565
265	0	0.336866	-0.336866
266	0	0.31837	-0.31837
267	1	0.60716	0.39284
268	0	0.405803	-0.405803
269	0	0.460297	-0.460297
270	0	0.686764	-0.686764
271	0	0.383024	-0.383024
272	0	0.579737	-0.579737
273	0	0.417136	-0.417136
274	0	0.430996	-0.430996
275	0	0.886752	-0.886752
276	0	0.415066	-0.415066
277	0	0.381986	-0.381986
278	0	0.442436	-0.442436
279	0	0.483812	-0.483812
280	0	0.535096	-0.535096
281	0	0.626848	-0.626848
282	0	0.430409	-0.430409
283	0	0.427509	-0.427509
284	0	0.530144	-0.530144
285	1	0.471252	0.528748
286	0	0.392044	-0.392044
287	0	0.298275	-0.298275

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
10	0	0	1
11	3.87472e-62	7.74944e-62	1
12	5.43223e-75	1.08645e-74	1
13	0	0	1
14	0	0	1
15	5.27817e-122	1.05563e-121	1
16	0	0	1
17	0.0145919	0.0291838	0.985408
18	0.00709882	0.0141976	0.992901
19	0.00381164	0.00762328	0.996188
20	0.0225925	0.0451851	0.977407
21	0.0170588	0.0341177	0.982941
22	0.00992227	0.0198445	0.990078
23	0.00586294	0.0117259	0.994137
24	0.00326637	0.00653275	0.996734
25	0.00194884	0.00389768	0.998051
26	0.00173262	0.00346525	0.998267
27	0.0014517	0.00290341	0.998548
28	0.0147047	0.0294095	0.985295
29	0.0666256	0.133251	0.933374
30	0.0492612	0.0985223	0.950739
31	0.0356252	0.0712504	0.964375
32	0.0255081	0.0510162	0.974492
33	0.0181855	0.0363709	0.981815
34	0.0128677	0.0257354	0.987132
35	0.00923019	0.0184604	0.99077
36	0.00643274	0.0128655	0.993567
37	0.00451963	0.00903926	0.99548
38	0.00311445	0.0062289	0.996886
39	0.00224459	0.00448918	0.997755
40	0.0150962	0.0301923	0.984904
41	0.0111751	0.0223502	0.988825
42	0.00822475	0.0164495	0.991775
43	0.00597386	0.0119477	0.994026
44	0.00411464	0.00822928	0.995885
45	0.00291022	0.00582044	0.99709
46	0.00201761	0.00403522	0.997982
47	0.0120917	0.0241833	0.987908
48	0.00926603	0.0185321	0.990734
49	0.00735127	0.0147025	0.992649
50	0.0195191	0.0390381	0.980481
51	0.0174942	0.0349883	0.982506
52	0.0408643	0.0817286	0.959136
53	0.0694634	0.138927	0.930537
54	0.11848	0.236959	0.88152
55	0.104451	0.208903	0.895549
56	0.13717	0.27434	0.86283
57	0.122942	0.245884	0.877058
58	0.108353	0.216706	0.891647
59	0.157091	0.314181	0.842909
60	0.143073	0.286146	0.856927
61	0.198054	0.396107	0.801946
62	0.24768	0.49536	0.75232
63	0.231234	0.462467	0.768766
64	0.223359	0.446717	0.776641
65	0.202703	0.405406	0.797297
66	0.18184	0.363681	0.81816
67	0.163636	0.327271	0.836364
68	0.206777	0.413553	0.793223
69	0.186067	0.372133	0.813933
70	0.167091	0.334182	0.832909
71	0.156959	0.313919	0.843041
72	0.195028	0.390056	0.804972
73	0.190574	0.381147	0.809426
74	0.178132	0.356263	0.821868
75	0.220073	0.440146	0.779927
76	0.266008	0.532017	0.733992
77	0.251447	0.502895	0.748553
78	0.235532	0.471065	0.764468
79	0.234786	0.469572	0.765214
80	0.219929	0.439857	0.780071
81	0.265121	0.530242	0.734879
82	0.250396	0.500792	0.749604
83	0.277942	0.555884	0.722058
84	0.277483	0.554965	0.722517
85	0.328899	0.657799	0.671101
86	0.363092	0.726185	0.636908
87	0.399744	0.799487	0.600256
88	0.431065	0.86213	0.568935
89	0.439213	0.878427	0.560787
90	0.457343	0.914685	0.542657
91	0.515062	0.969877	0.484938
92	0.546358	0.907283	0.453642
93	0.570841	0.858317	0.429159
94	0.56592	0.868159	0.43408
95	0.571772	0.856456	0.428228
96	0.587522	0.824956	0.412478
97	0.587976	0.824048	0.412024
98	0.600456	0.799088	0.399544
99	0.602186	0.795628	0.397814
100	0.604366	0.791268	0.395634
101	0.611499	0.777002	0.388501
102	0.646373	0.707253	0.353627
103	0.655415	0.689171	0.344585
104	0.669309	0.661383	0.330691
105	0.70661	0.586779	0.29339
106	0.721691	0.556618	0.278309
107	0.734534	0.530933	0.265466
108	0.740532	0.518937	0.259468
109	0.746902	0.506197	0.253098
110	0.753575	0.492851	0.246425
111	0.73336	0.53328	0.26664
112	0.716339	0.567322	0.283661
113	0.728617	0.542766	0.271383
114	0.72291	0.55418	0.27709
115	0.730688	0.538624	0.269312
116	0.726826	0.546347	0.273174
117	0.72325	0.5535	0.27675
118	0.703758	0.592485	0.296242
119	0.68723	0.62554	0.31277
120	0.659843	0.680314	0.340157
121	0.647735	0.704531	0.352265
122	0.650201	0.699597	0.349799
123	0.678601	0.642798	0.321399
124	0.653463	0.693074	0.346537
125	0.64896	0.70208	0.35104
126	0.644615	0.71077	0.355385
127	0.644649	0.710702	0.355351
128	0.648319	0.703363	0.351681
129	0.643413	0.713174	0.356587
130	0.642586	0.714829	0.357414
131	0.627052	0.745896	0.372948
132	0.618533	0.762934	0.381467
133	0.633614	0.732773	0.366386
134	0.633223	0.733555	0.366777
135	0.615156	0.769687	0.384844
136	0.597822	0.804357	0.402178
137	0.600177	0.799645	0.399823
138	0.608698	0.782605	0.391302
139	0.579138	0.841724	0.420862
140	0.606079	0.787842	0.393921
141	0.591825	0.81635	0.408175
142	0.578965	0.84207	0.421035
143	0.568144	0.863711	0.431856
144	0.555108	0.889784	0.444892
145	0.568074	0.863853	0.431926
146	0.540278	0.919444	0.459722
147	0.55121	0.897581	0.44879
148	0.537867	0.924266	0.462133
149	0.530611	0.938778	0.469389
150	0.526444	0.947111	0.473556
151	0.523755	0.952489	0.476245
152	0.536989	0.926022	0.463011
153	0.523318	0.953364	0.476682
154	0.523441	0.953118	0.476559
155	0.546011	0.907977	0.453989
156	0.537858	0.924283	0.462142
157	0.522908	0.954183	0.477092
158	0.534428	0.931143	0.465572
159	0.560822	0.878355	0.439178
160	0.553028	0.893944	0.446972
161	0.580027	0.839947	0.419973
162	0.605992	0.788015	0.394008
163	0.610369	0.779263	0.389631
164	0.636097	0.727806	0.363903
165	0.615526	0.768948	0.384474
166	0.614977	0.770045	0.385023
167	0.599387	0.801225	0.400613
168	0.585037	0.829926	0.414963
169	0.609173	0.781654	0.390827
170	0.602642	0.794716	0.397358
171	0.594364	0.811273	0.405636
172	0.620045	0.75991	0.379955
173	0.608398	0.783205	0.391602
174	0.631351	0.737297	0.368649
175	0.658608	0.682784	0.341392
176	0.654155	0.69169	0.345845
177	0.640598	0.718804	0.359402
178	0.656384	0.687233	0.343616
179	0.630152	0.739696	0.369848
180	0.625778	0.748445	0.374222
181	0.624066	0.751868	0.375934
182	0.660619	0.678762	0.339381
183	0.64315	0.713701	0.35685
184	0.632849	0.734302	0.367151
185	0.647517	0.704966	0.352483
186	0.660945	0.678111	0.339055
187	0.662582	0.674836	0.337418
188	0.684896	0.630207	0.315104
189	0.735982	0.528035	0.264018
190	0.727732	0.544535	0.272268
191	0.737257	0.525486	0.262743
192	0.716792	0.566417	0.283208
193	0.694825	0.61035	0.305175
194	0.671547	0.656906	0.328453
195	0.64434	0.71132	0.35566
196	0.626875	0.746251	0.373125
197	0.609869	0.780263	0.390131
198	0.608543	0.782915	0.391457
199	0.619513	0.760974	0.380487
200	0.605928	0.788143	0.394072
201	0.57442	0.85116	0.42558
202	0.552525	0.894951	0.447475
203	0.599221	0.801558	0.400779
204	0.601288	0.797425	0.398712
205	0.608729	0.782542	0.391271
206	0.588458	0.823084	0.411542
207	0.591814	0.816371	0.408186
208	0.5651	0.8698	0.4349
209	0.546994	0.906012	0.453006
210	0.581467	0.837066	0.418533
211	0.584645	0.83071	0.415355
212	0.584986	0.830028	0.415014
213	0.547465	0.905071	0.452535
214	0.547683	0.904635	0.452317
215	0.564114	0.871772	0.435886
216	0.541552	0.916895	0.458448
217	0.543111	0.913778	0.456889
218	0.533684	0.932633	0.466316
219	0.508033	0.983933	0.491967
220	0.483771	0.967542	0.516229
221	0.536533	0.926933	0.463467
222	0.594712	0.810576	0.405288
223	0.634035	0.73193	0.365965
224	0.621138	0.757724	0.378862
225	0.615778	0.768444	0.384222
226	0.588082	0.823836	0.411918
227	0.565694	0.868612	0.434306
228	0.525554	0.948892	0.474446
229	0.533298	0.933404	0.466702
230	0.547941	0.904119	0.452059
231	0.701833	0.596333	0.298167
232	0.752675	0.494651	0.247325
233	0.764715	0.47057	0.235285
234	0.746045	0.507909	0.253955
235	0.71895	0.5621	0.28105
236	0.725073	0.549853	0.274927
237	0.725353	0.549293	0.274647
238	0.733439	0.533122	0.266561
239	0.734259	0.531481	0.265741
240	0.695795	0.60841	0.304205
241	0.69129	0.617421	0.30871
242	0.660305	0.679391	0.339695
243	0.686096	0.627807	0.313904
244	0.700542	0.598915	0.299458
245	0.679177	0.641646	0.320823
246	0.688214	0.623573	0.311786
247	0.819454	0.361092	0.180546
248	0.817635	0.364731	0.182365
249	0.837247	0.325506	0.162753
250	0.836818	0.326365	0.163182
251	0.813705	0.37259	0.186295
252	0.777076	0.445848	0.222924
253	0.839474	0.321052	0.160526
254	0.802258	0.395484	0.197742
255	0.784994	0.430012	0.215006
256	0.838531	0.322938	0.161469
257	0.867827	0.264345	0.132173
258	0.863612	0.272776	0.136388
259	0.890155	0.21969	0.109845
260	0.912677	0.174646	0.0873228
261	0.948414	0.103173	0.0515864
262	0.927116	0.145769	0.0728844
263	0.900289	0.199423	0.0997113
264	0.984488	0.0310236	0.0155118
265	0.975052	0.0498964	0.0249482
266	0.961098	0.0778039	0.038902
267	0.998728	0.00254465	0.00127232
268	0.997173	0.00565317	0.00282658
269	0.993951	0.0120977	0.00604886
270	0.989246	0.0215076	0.0107538
271	0.983715	0.0325693	0.0162847
272	0.967502	0.0649956	0.0324978
273	0.945719	0.108563	0.0542814
274	0.897538	0.204925	0.102462
275	0.831876	0.336249	0.168124
276	0.756221	0.487557	0.243779
277	0.657628	0.684744	0.342372

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
10 & 0 & 0 & 1 \tabularnewline
11 & 3.87472e-62 & 7.74944e-62 & 1 \tabularnewline
12 & 5.43223e-75 & 1.08645e-74 & 1 \tabularnewline
13 & 0 & 0 & 1 \tabularnewline
14 & 0 & 0 & 1 \tabularnewline
15 & 5.27817e-122 & 1.05563e-121 & 1 \tabularnewline
16 & 0 & 0 & 1 \tabularnewline
17 & 0.0145919 & 0.0291838 & 0.985408 \tabularnewline
18 & 0.00709882 & 0.0141976 & 0.992901 \tabularnewline
19 & 0.00381164 & 0.00762328 & 0.996188 \tabularnewline
20 & 0.0225925 & 0.0451851 & 0.977407 \tabularnewline
21 & 0.0170588 & 0.0341177 & 0.982941 \tabularnewline
22 & 0.00992227 & 0.0198445 & 0.990078 \tabularnewline
23 & 0.00586294 & 0.0117259 & 0.994137 \tabularnewline
24 & 0.00326637 & 0.00653275 & 0.996734 \tabularnewline
25 & 0.00194884 & 0.00389768 & 0.998051 \tabularnewline
26 & 0.00173262 & 0.00346525 & 0.998267 \tabularnewline
27 & 0.0014517 & 0.00290341 & 0.998548 \tabularnewline
28 & 0.0147047 & 0.0294095 & 0.985295 \tabularnewline
29 & 0.0666256 & 0.133251 & 0.933374 \tabularnewline
30 & 0.0492612 & 0.0985223 & 0.950739 \tabularnewline
31 & 0.0356252 & 0.0712504 & 0.964375 \tabularnewline
32 & 0.0255081 & 0.0510162 & 0.974492 \tabularnewline
33 & 0.0181855 & 0.0363709 & 0.981815 \tabularnewline
34 & 0.0128677 & 0.0257354 & 0.987132 \tabularnewline
35 & 0.00923019 & 0.0184604 & 0.99077 \tabularnewline
36 & 0.00643274 & 0.0128655 & 0.993567 \tabularnewline
37 & 0.00451963 & 0.00903926 & 0.99548 \tabularnewline
38 & 0.00311445 & 0.0062289 & 0.996886 \tabularnewline
39 & 0.00224459 & 0.00448918 & 0.997755 \tabularnewline
40 & 0.0150962 & 0.0301923 & 0.984904 \tabularnewline
41 & 0.0111751 & 0.0223502 & 0.988825 \tabularnewline
42 & 0.00822475 & 0.0164495 & 0.991775 \tabularnewline
43 & 0.00597386 & 0.0119477 & 0.994026 \tabularnewline
44 & 0.00411464 & 0.00822928 & 0.995885 \tabularnewline
45 & 0.00291022 & 0.00582044 & 0.99709 \tabularnewline
46 & 0.00201761 & 0.00403522 & 0.997982 \tabularnewline
47 & 0.0120917 & 0.0241833 & 0.987908 \tabularnewline
48 & 0.00926603 & 0.0185321 & 0.990734 \tabularnewline
49 & 0.00735127 & 0.0147025 & 0.992649 \tabularnewline
50 & 0.0195191 & 0.0390381 & 0.980481 \tabularnewline
51 & 0.0174942 & 0.0349883 & 0.982506 \tabularnewline
52 & 0.0408643 & 0.0817286 & 0.959136 \tabularnewline
53 & 0.0694634 & 0.138927 & 0.930537 \tabularnewline
54 & 0.11848 & 0.236959 & 0.88152 \tabularnewline
55 & 0.104451 & 0.208903 & 0.895549 \tabularnewline
56 & 0.13717 & 0.27434 & 0.86283 \tabularnewline
57 & 0.122942 & 0.245884 & 0.877058 \tabularnewline
58 & 0.108353 & 0.216706 & 0.891647 \tabularnewline
59 & 0.157091 & 0.314181 & 0.842909 \tabularnewline
60 & 0.143073 & 0.286146 & 0.856927 \tabularnewline
61 & 0.198054 & 0.396107 & 0.801946 \tabularnewline
62 & 0.24768 & 0.49536 & 0.75232 \tabularnewline
63 & 0.231234 & 0.462467 & 0.768766 \tabularnewline
64 & 0.223359 & 0.446717 & 0.776641 \tabularnewline
65 & 0.202703 & 0.405406 & 0.797297 \tabularnewline
66 & 0.18184 & 0.363681 & 0.81816 \tabularnewline
67 & 0.163636 & 0.327271 & 0.836364 \tabularnewline
68 & 0.206777 & 0.413553 & 0.793223 \tabularnewline
69 & 0.186067 & 0.372133 & 0.813933 \tabularnewline
70 & 0.167091 & 0.334182 & 0.832909 \tabularnewline
71 & 0.156959 & 0.313919 & 0.843041 \tabularnewline
72 & 0.195028 & 0.390056 & 0.804972 \tabularnewline
73 & 0.190574 & 0.381147 & 0.809426 \tabularnewline
74 & 0.178132 & 0.356263 & 0.821868 \tabularnewline
75 & 0.220073 & 0.440146 & 0.779927 \tabularnewline
76 & 0.266008 & 0.532017 & 0.733992 \tabularnewline
77 & 0.251447 & 0.502895 & 0.748553 \tabularnewline
78 & 0.235532 & 0.471065 & 0.764468 \tabularnewline
79 & 0.234786 & 0.469572 & 0.765214 \tabularnewline
80 & 0.219929 & 0.439857 & 0.780071 \tabularnewline
81 & 0.265121 & 0.530242 & 0.734879 \tabularnewline
82 & 0.250396 & 0.500792 & 0.749604 \tabularnewline
83 & 0.277942 & 0.555884 & 0.722058 \tabularnewline
84 & 0.277483 & 0.554965 & 0.722517 \tabularnewline
85 & 0.328899 & 0.657799 & 0.671101 \tabularnewline
86 & 0.363092 & 0.726185 & 0.636908 \tabularnewline
87 & 0.399744 & 0.799487 & 0.600256 \tabularnewline
88 & 0.431065 & 0.86213 & 0.568935 \tabularnewline
89 & 0.439213 & 0.878427 & 0.560787 \tabularnewline
90 & 0.457343 & 0.914685 & 0.542657 \tabularnewline
91 & 0.515062 & 0.969877 & 0.484938 \tabularnewline
92 & 0.546358 & 0.907283 & 0.453642 \tabularnewline
93 & 0.570841 & 0.858317 & 0.429159 \tabularnewline
94 & 0.56592 & 0.868159 & 0.43408 \tabularnewline
95 & 0.571772 & 0.856456 & 0.428228 \tabularnewline
96 & 0.587522 & 0.824956 & 0.412478 \tabularnewline
97 & 0.587976 & 0.824048 & 0.412024 \tabularnewline
98 & 0.600456 & 0.799088 & 0.399544 \tabularnewline
99 & 0.602186 & 0.795628 & 0.397814 \tabularnewline
100 & 0.604366 & 0.791268 & 0.395634 \tabularnewline
101 & 0.611499 & 0.777002 & 0.388501 \tabularnewline
102 & 0.646373 & 0.707253 & 0.353627 \tabularnewline
103 & 0.655415 & 0.689171 & 0.344585 \tabularnewline
104 & 0.669309 & 0.661383 & 0.330691 \tabularnewline
105 & 0.70661 & 0.586779 & 0.29339 \tabularnewline
106 & 0.721691 & 0.556618 & 0.278309 \tabularnewline
107 & 0.734534 & 0.530933 & 0.265466 \tabularnewline
108 & 0.740532 & 0.518937 & 0.259468 \tabularnewline
109 & 0.746902 & 0.506197 & 0.253098 \tabularnewline
110 & 0.753575 & 0.492851 & 0.246425 \tabularnewline
111 & 0.73336 & 0.53328 & 0.26664 \tabularnewline
112 & 0.716339 & 0.567322 & 0.283661 \tabularnewline
113 & 0.728617 & 0.542766 & 0.271383 \tabularnewline
114 & 0.72291 & 0.55418 & 0.27709 \tabularnewline
115 & 0.730688 & 0.538624 & 0.269312 \tabularnewline
116 & 0.726826 & 0.546347 & 0.273174 \tabularnewline
117 & 0.72325 & 0.5535 & 0.27675 \tabularnewline
118 & 0.703758 & 0.592485 & 0.296242 \tabularnewline
119 & 0.68723 & 0.62554 & 0.31277 \tabularnewline
120 & 0.659843 & 0.680314 & 0.340157 \tabularnewline
121 & 0.647735 & 0.704531 & 0.352265 \tabularnewline
122 & 0.650201 & 0.699597 & 0.349799 \tabularnewline
123 & 0.678601 & 0.642798 & 0.321399 \tabularnewline
124 & 0.653463 & 0.693074 & 0.346537 \tabularnewline
125 & 0.64896 & 0.70208 & 0.35104 \tabularnewline
126 & 0.644615 & 0.71077 & 0.355385 \tabularnewline
127 & 0.644649 & 0.710702 & 0.355351 \tabularnewline
128 & 0.648319 & 0.703363 & 0.351681 \tabularnewline
129 & 0.643413 & 0.713174 & 0.356587 \tabularnewline
130 & 0.642586 & 0.714829 & 0.357414 \tabularnewline
131 & 0.627052 & 0.745896 & 0.372948 \tabularnewline
132 & 0.618533 & 0.762934 & 0.381467 \tabularnewline
133 & 0.633614 & 0.732773 & 0.366386 \tabularnewline
134 & 0.633223 & 0.733555 & 0.366777 \tabularnewline
135 & 0.615156 & 0.769687 & 0.384844 \tabularnewline
136 & 0.597822 & 0.804357 & 0.402178 \tabularnewline
137 & 0.600177 & 0.799645 & 0.399823 \tabularnewline
138 & 0.608698 & 0.782605 & 0.391302 \tabularnewline
139 & 0.579138 & 0.841724 & 0.420862 \tabularnewline
140 & 0.606079 & 0.787842 & 0.393921 \tabularnewline
141 & 0.591825 & 0.81635 & 0.408175 \tabularnewline
142 & 0.578965 & 0.84207 & 0.421035 \tabularnewline
143 & 0.568144 & 0.863711 & 0.431856 \tabularnewline
144 & 0.555108 & 0.889784 & 0.444892 \tabularnewline
145 & 0.568074 & 0.863853 & 0.431926 \tabularnewline
146 & 0.540278 & 0.919444 & 0.459722 \tabularnewline
147 & 0.55121 & 0.897581 & 0.44879 \tabularnewline
148 & 0.537867 & 0.924266 & 0.462133 \tabularnewline
149 & 0.530611 & 0.938778 & 0.469389 \tabularnewline
150 & 0.526444 & 0.947111 & 0.473556 \tabularnewline
151 & 0.523755 & 0.952489 & 0.476245 \tabularnewline
152 & 0.536989 & 0.926022 & 0.463011 \tabularnewline
153 & 0.523318 & 0.953364 & 0.476682 \tabularnewline
154 & 0.523441 & 0.953118 & 0.476559 \tabularnewline
155 & 0.546011 & 0.907977 & 0.453989 \tabularnewline
156 & 0.537858 & 0.924283 & 0.462142 \tabularnewline
157 & 0.522908 & 0.954183 & 0.477092 \tabularnewline
158 & 0.534428 & 0.931143 & 0.465572 \tabularnewline
159 & 0.560822 & 0.878355 & 0.439178 \tabularnewline
160 & 0.553028 & 0.893944 & 0.446972 \tabularnewline
161 & 0.580027 & 0.839947 & 0.419973 \tabularnewline
162 & 0.605992 & 0.788015 & 0.394008 \tabularnewline
163 & 0.610369 & 0.779263 & 0.389631 \tabularnewline
164 & 0.636097 & 0.727806 & 0.363903 \tabularnewline
165 & 0.615526 & 0.768948 & 0.384474 \tabularnewline
166 & 0.614977 & 0.770045 & 0.385023 \tabularnewline
167 & 0.599387 & 0.801225 & 0.400613 \tabularnewline
168 & 0.585037 & 0.829926 & 0.414963 \tabularnewline
169 & 0.609173 & 0.781654 & 0.390827 \tabularnewline
170 & 0.602642 & 0.794716 & 0.397358 \tabularnewline
171 & 0.594364 & 0.811273 & 0.405636 \tabularnewline
172 & 0.620045 & 0.75991 & 0.379955 \tabularnewline
173 & 0.608398 & 0.783205 & 0.391602 \tabularnewline
174 & 0.631351 & 0.737297 & 0.368649 \tabularnewline
175 & 0.658608 & 0.682784 & 0.341392 \tabularnewline
176 & 0.654155 & 0.69169 & 0.345845 \tabularnewline
177 & 0.640598 & 0.718804 & 0.359402 \tabularnewline
178 & 0.656384 & 0.687233 & 0.343616 \tabularnewline
179 & 0.630152 & 0.739696 & 0.369848 \tabularnewline
180 & 0.625778 & 0.748445 & 0.374222 \tabularnewline
181 & 0.624066 & 0.751868 & 0.375934 \tabularnewline
182 & 0.660619 & 0.678762 & 0.339381 \tabularnewline
183 & 0.64315 & 0.713701 & 0.35685 \tabularnewline
184 & 0.632849 & 0.734302 & 0.367151 \tabularnewline
185 & 0.647517 & 0.704966 & 0.352483 \tabularnewline
186 & 0.660945 & 0.678111 & 0.339055 \tabularnewline
187 & 0.662582 & 0.674836 & 0.337418 \tabularnewline
188 & 0.684896 & 0.630207 & 0.315104 \tabularnewline
189 & 0.735982 & 0.528035 & 0.264018 \tabularnewline
190 & 0.727732 & 0.544535 & 0.272268 \tabularnewline
191 & 0.737257 & 0.525486 & 0.262743 \tabularnewline
192 & 0.716792 & 0.566417 & 0.283208 \tabularnewline
193 & 0.694825 & 0.61035 & 0.305175 \tabularnewline
194 & 0.671547 & 0.656906 & 0.328453 \tabularnewline
195 & 0.64434 & 0.71132 & 0.35566 \tabularnewline
196 & 0.626875 & 0.746251 & 0.373125 \tabularnewline
197 & 0.609869 & 0.780263 & 0.390131 \tabularnewline
198 & 0.608543 & 0.782915 & 0.391457 \tabularnewline
199 & 0.619513 & 0.760974 & 0.380487 \tabularnewline
200 & 0.605928 & 0.788143 & 0.394072 \tabularnewline
201 & 0.57442 & 0.85116 & 0.42558 \tabularnewline
202 & 0.552525 & 0.894951 & 0.447475 \tabularnewline
203 & 0.599221 & 0.801558 & 0.400779 \tabularnewline
204 & 0.601288 & 0.797425 & 0.398712 \tabularnewline
205 & 0.608729 & 0.782542 & 0.391271 \tabularnewline
206 & 0.588458 & 0.823084 & 0.411542 \tabularnewline
207 & 0.591814 & 0.816371 & 0.408186 \tabularnewline
208 & 0.5651 & 0.8698 & 0.4349 \tabularnewline
209 & 0.546994 & 0.906012 & 0.453006 \tabularnewline
210 & 0.581467 & 0.837066 & 0.418533 \tabularnewline
211 & 0.584645 & 0.83071 & 0.415355 \tabularnewline
212 & 0.584986 & 0.830028 & 0.415014 \tabularnewline
213 & 0.547465 & 0.905071 & 0.452535 \tabularnewline
214 & 0.547683 & 0.904635 & 0.452317 \tabularnewline
215 & 0.564114 & 0.871772 & 0.435886 \tabularnewline
216 & 0.541552 & 0.916895 & 0.458448 \tabularnewline
217 & 0.543111 & 0.913778 & 0.456889 \tabularnewline
218 & 0.533684 & 0.932633 & 0.466316 \tabularnewline
219 & 0.508033 & 0.983933 & 0.491967 \tabularnewline
220 & 0.483771 & 0.967542 & 0.516229 \tabularnewline
221 & 0.536533 & 0.926933 & 0.463467 \tabularnewline
222 & 0.594712 & 0.810576 & 0.405288 \tabularnewline
223 & 0.634035 & 0.73193 & 0.365965 \tabularnewline
224 & 0.621138 & 0.757724 & 0.378862 \tabularnewline
225 & 0.615778 & 0.768444 & 0.384222 \tabularnewline
226 & 0.588082 & 0.823836 & 0.411918 \tabularnewline
227 & 0.565694 & 0.868612 & 0.434306 \tabularnewline
228 & 0.525554 & 0.948892 & 0.474446 \tabularnewline
229 & 0.533298 & 0.933404 & 0.466702 \tabularnewline
230 & 0.547941 & 0.904119 & 0.452059 \tabularnewline
231 & 0.701833 & 0.596333 & 0.298167 \tabularnewline
232 & 0.752675 & 0.494651 & 0.247325 \tabularnewline
233 & 0.764715 & 0.47057 & 0.235285 \tabularnewline
234 & 0.746045 & 0.507909 & 0.253955 \tabularnewline
235 & 0.71895 & 0.5621 & 0.28105 \tabularnewline
236 & 0.725073 & 0.549853 & 0.274927 \tabularnewline
237 & 0.725353 & 0.549293 & 0.274647 \tabularnewline
238 & 0.733439 & 0.533122 & 0.266561 \tabularnewline
239 & 0.734259 & 0.531481 & 0.265741 \tabularnewline
240 & 0.695795 & 0.60841 & 0.304205 \tabularnewline
241 & 0.69129 & 0.617421 & 0.30871 \tabularnewline
242 & 0.660305 & 0.679391 & 0.339695 \tabularnewline
243 & 0.686096 & 0.627807 & 0.313904 \tabularnewline
244 & 0.700542 & 0.598915 & 0.299458 \tabularnewline
245 & 0.679177 & 0.641646 & 0.320823 \tabularnewline
246 & 0.688214 & 0.623573 & 0.311786 \tabularnewline
247 & 0.819454 & 0.361092 & 0.180546 \tabularnewline
248 & 0.817635 & 0.364731 & 0.182365 \tabularnewline
249 & 0.837247 & 0.325506 & 0.162753 \tabularnewline
250 & 0.836818 & 0.326365 & 0.163182 \tabularnewline
251 & 0.813705 & 0.37259 & 0.186295 \tabularnewline
252 & 0.777076 & 0.445848 & 0.222924 \tabularnewline
253 & 0.839474 & 0.321052 & 0.160526 \tabularnewline
254 & 0.802258 & 0.395484 & 0.197742 \tabularnewline
255 & 0.784994 & 0.430012 & 0.215006 \tabularnewline
256 & 0.838531 & 0.322938 & 0.161469 \tabularnewline
257 & 0.867827 & 0.264345 & 0.132173 \tabularnewline
258 & 0.863612 & 0.272776 & 0.136388 \tabularnewline
259 & 0.890155 & 0.21969 & 0.109845 \tabularnewline
260 & 0.912677 & 0.174646 & 0.0873228 \tabularnewline
261 & 0.948414 & 0.103173 & 0.0515864 \tabularnewline
262 & 0.927116 & 0.145769 & 0.0728844 \tabularnewline
263 & 0.900289 & 0.199423 & 0.0997113 \tabularnewline
264 & 0.984488 & 0.0310236 & 0.0155118 \tabularnewline
265 & 0.975052 & 0.0498964 & 0.0249482 \tabularnewline
266 & 0.961098 & 0.0778039 & 0.038902 \tabularnewline
267 & 0.998728 & 0.00254465 & 0.00127232 \tabularnewline
268 & 0.997173 & 0.00565317 & 0.00282658 \tabularnewline
269 & 0.993951 & 0.0120977 & 0.00604886 \tabularnewline
270 & 0.989246 & 0.0215076 & 0.0107538 \tabularnewline
271 & 0.983715 & 0.0325693 & 0.0162847 \tabularnewline
272 & 0.967502 & 0.0649956 & 0.0324978 \tabularnewline
273 & 0.945719 & 0.108563 & 0.0542814 \tabularnewline
274 & 0.897538 & 0.204925 & 0.102462 \tabularnewline
275 & 0.831876 & 0.336249 & 0.168124 \tabularnewline
276 & 0.756221 & 0.487557 & 0.243779 \tabularnewline
277 & 0.657628 & 0.684744 & 0.342372 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266645&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]10[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]11[/C][C]3.87472e-62[/C][C]7.74944e-62[/C][C]1[/C][/ROW]
[ROW][C]12[/C][C]5.43223e-75[/C][C]1.08645e-74[/C][C]1[/C][/ROW]
[ROW][C]13[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]14[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]15[/C][C]5.27817e-122[/C][C]1.05563e-121[/C][C]1[/C][/ROW]
[ROW][C]16[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]17[/C][C]0.0145919[/C][C]0.0291838[/C][C]0.985408[/C][/ROW]
[ROW][C]18[/C][C]0.00709882[/C][C]0.0141976[/C][C]0.992901[/C][/ROW]
[ROW][C]19[/C][C]0.00381164[/C][C]0.00762328[/C][C]0.996188[/C][/ROW]
[ROW][C]20[/C][C]0.0225925[/C][C]0.0451851[/C][C]0.977407[/C][/ROW]
[ROW][C]21[/C][C]0.0170588[/C][C]0.0341177[/C][C]0.982941[/C][/ROW]
[ROW][C]22[/C][C]0.00992227[/C][C]0.0198445[/C][C]0.990078[/C][/ROW]
[ROW][C]23[/C][C]0.00586294[/C][C]0.0117259[/C][C]0.994137[/C][/ROW]
[ROW][C]24[/C][C]0.00326637[/C][C]0.00653275[/C][C]0.996734[/C][/ROW]
[ROW][C]25[/C][C]0.00194884[/C][C]0.00389768[/C][C]0.998051[/C][/ROW]
[ROW][C]26[/C][C]0.00173262[/C][C]0.00346525[/C][C]0.998267[/C][/ROW]
[ROW][C]27[/C][C]0.0014517[/C][C]0.00290341[/C][C]0.998548[/C][/ROW]
[ROW][C]28[/C][C]0.0147047[/C][C]0.0294095[/C][C]0.985295[/C][/ROW]
[ROW][C]29[/C][C]0.0666256[/C][C]0.133251[/C][C]0.933374[/C][/ROW]
[ROW][C]30[/C][C]0.0492612[/C][C]0.0985223[/C][C]0.950739[/C][/ROW]
[ROW][C]31[/C][C]0.0356252[/C][C]0.0712504[/C][C]0.964375[/C][/ROW]
[ROW][C]32[/C][C]0.0255081[/C][C]0.0510162[/C][C]0.974492[/C][/ROW]
[ROW][C]33[/C][C]0.0181855[/C][C]0.0363709[/C][C]0.981815[/C][/ROW]
[ROW][C]34[/C][C]0.0128677[/C][C]0.0257354[/C][C]0.987132[/C][/ROW]
[ROW][C]35[/C][C]0.00923019[/C][C]0.0184604[/C][C]0.99077[/C][/ROW]
[ROW][C]36[/C][C]0.00643274[/C][C]0.0128655[/C][C]0.993567[/C][/ROW]
[ROW][C]37[/C][C]0.00451963[/C][C]0.00903926[/C][C]0.99548[/C][/ROW]
[ROW][C]38[/C][C]0.00311445[/C][C]0.0062289[/C][C]0.996886[/C][/ROW]
[ROW][C]39[/C][C]0.00224459[/C][C]0.00448918[/C][C]0.997755[/C][/ROW]
[ROW][C]40[/C][C]0.0150962[/C][C]0.0301923[/C][C]0.984904[/C][/ROW]
[ROW][C]41[/C][C]0.0111751[/C][C]0.0223502[/C][C]0.988825[/C][/ROW]
[ROW][C]42[/C][C]0.00822475[/C][C]0.0164495[/C][C]0.991775[/C][/ROW]
[ROW][C]43[/C][C]0.00597386[/C][C]0.0119477[/C][C]0.994026[/C][/ROW]
[ROW][C]44[/C][C]0.00411464[/C][C]0.00822928[/C][C]0.995885[/C][/ROW]
[ROW][C]45[/C][C]0.00291022[/C][C]0.00582044[/C][C]0.99709[/C][/ROW]
[ROW][C]46[/C][C]0.00201761[/C][C]0.00403522[/C][C]0.997982[/C][/ROW]
[ROW][C]47[/C][C]0.0120917[/C][C]0.0241833[/C][C]0.987908[/C][/ROW]
[ROW][C]48[/C][C]0.00926603[/C][C]0.0185321[/C][C]0.990734[/C][/ROW]
[ROW][C]49[/C][C]0.00735127[/C][C]0.0147025[/C][C]0.992649[/C][/ROW]
[ROW][C]50[/C][C]0.0195191[/C][C]0.0390381[/C][C]0.980481[/C][/ROW]
[ROW][C]51[/C][C]0.0174942[/C][C]0.0349883[/C][C]0.982506[/C][/ROW]
[ROW][C]52[/C][C]0.0408643[/C][C]0.0817286[/C][C]0.959136[/C][/ROW]
[ROW][C]53[/C][C]0.0694634[/C][C]0.138927[/C][C]0.930537[/C][/ROW]
[ROW][C]54[/C][C]0.11848[/C][C]0.236959[/C][C]0.88152[/C][/ROW]
[ROW][C]55[/C][C]0.104451[/C][C]0.208903[/C][C]0.895549[/C][/ROW]
[ROW][C]56[/C][C]0.13717[/C][C]0.27434[/C][C]0.86283[/C][/ROW]
[ROW][C]57[/C][C]0.122942[/C][C]0.245884[/C][C]0.877058[/C][/ROW]
[ROW][C]58[/C][C]0.108353[/C][C]0.216706[/C][C]0.891647[/C][/ROW]
[ROW][C]59[/C][C]0.157091[/C][C]0.314181[/C][C]0.842909[/C][/ROW]
[ROW][C]60[/C][C]0.143073[/C][C]0.286146[/C][C]0.856927[/C][/ROW]
[ROW][C]61[/C][C]0.198054[/C][C]0.396107[/C][C]0.801946[/C][/ROW]
[ROW][C]62[/C][C]0.24768[/C][C]0.49536[/C][C]0.75232[/C][/ROW]
[ROW][C]63[/C][C]0.231234[/C][C]0.462467[/C][C]0.768766[/C][/ROW]
[ROW][C]64[/C][C]0.223359[/C][C]0.446717[/C][C]0.776641[/C][/ROW]
[ROW][C]65[/C][C]0.202703[/C][C]0.405406[/C][C]0.797297[/C][/ROW]
[ROW][C]66[/C][C]0.18184[/C][C]0.363681[/C][C]0.81816[/C][/ROW]
[ROW][C]67[/C][C]0.163636[/C][C]0.327271[/C][C]0.836364[/C][/ROW]
[ROW][C]68[/C][C]0.206777[/C][C]0.413553[/C][C]0.793223[/C][/ROW]
[ROW][C]69[/C][C]0.186067[/C][C]0.372133[/C][C]0.813933[/C][/ROW]
[ROW][C]70[/C][C]0.167091[/C][C]0.334182[/C][C]0.832909[/C][/ROW]
[ROW][C]71[/C][C]0.156959[/C][C]0.313919[/C][C]0.843041[/C][/ROW]
[ROW][C]72[/C][C]0.195028[/C][C]0.390056[/C][C]0.804972[/C][/ROW]
[ROW][C]73[/C][C]0.190574[/C][C]0.381147[/C][C]0.809426[/C][/ROW]
[ROW][C]74[/C][C]0.178132[/C][C]0.356263[/C][C]0.821868[/C][/ROW]
[ROW][C]75[/C][C]0.220073[/C][C]0.440146[/C][C]0.779927[/C][/ROW]
[ROW][C]76[/C][C]0.266008[/C][C]0.532017[/C][C]0.733992[/C][/ROW]
[ROW][C]77[/C][C]0.251447[/C][C]0.502895[/C][C]0.748553[/C][/ROW]
[ROW][C]78[/C][C]0.235532[/C][C]0.471065[/C][C]0.764468[/C][/ROW]
[ROW][C]79[/C][C]0.234786[/C][C]0.469572[/C][C]0.765214[/C][/ROW]
[ROW][C]80[/C][C]0.219929[/C][C]0.439857[/C][C]0.780071[/C][/ROW]
[ROW][C]81[/C][C]0.265121[/C][C]0.530242[/C][C]0.734879[/C][/ROW]
[ROW][C]82[/C][C]0.250396[/C][C]0.500792[/C][C]0.749604[/C][/ROW]
[ROW][C]83[/C][C]0.277942[/C][C]0.555884[/C][C]0.722058[/C][/ROW]
[ROW][C]84[/C][C]0.277483[/C][C]0.554965[/C][C]0.722517[/C][/ROW]
[ROW][C]85[/C][C]0.328899[/C][C]0.657799[/C][C]0.671101[/C][/ROW]
[ROW][C]86[/C][C]0.363092[/C][C]0.726185[/C][C]0.636908[/C][/ROW]
[ROW][C]87[/C][C]0.399744[/C][C]0.799487[/C][C]0.600256[/C][/ROW]
[ROW][C]88[/C][C]0.431065[/C][C]0.86213[/C][C]0.568935[/C][/ROW]
[ROW][C]89[/C][C]0.439213[/C][C]0.878427[/C][C]0.560787[/C][/ROW]
[ROW][C]90[/C][C]0.457343[/C][C]0.914685[/C][C]0.542657[/C][/ROW]
[ROW][C]91[/C][C]0.515062[/C][C]0.969877[/C][C]0.484938[/C][/ROW]
[ROW][C]92[/C][C]0.546358[/C][C]0.907283[/C][C]0.453642[/C][/ROW]
[ROW][C]93[/C][C]0.570841[/C][C]0.858317[/C][C]0.429159[/C][/ROW]
[ROW][C]94[/C][C]0.56592[/C][C]0.868159[/C][C]0.43408[/C][/ROW]
[ROW][C]95[/C][C]0.571772[/C][C]0.856456[/C][C]0.428228[/C][/ROW]
[ROW][C]96[/C][C]0.587522[/C][C]0.824956[/C][C]0.412478[/C][/ROW]
[ROW][C]97[/C][C]0.587976[/C][C]0.824048[/C][C]0.412024[/C][/ROW]
[ROW][C]98[/C][C]0.600456[/C][C]0.799088[/C][C]0.399544[/C][/ROW]
[ROW][C]99[/C][C]0.602186[/C][C]0.795628[/C][C]0.397814[/C][/ROW]
[ROW][C]100[/C][C]0.604366[/C][C]0.791268[/C][C]0.395634[/C][/ROW]
[ROW][C]101[/C][C]0.611499[/C][C]0.777002[/C][C]0.388501[/C][/ROW]
[ROW][C]102[/C][C]0.646373[/C][C]0.707253[/C][C]0.353627[/C][/ROW]
[ROW][C]103[/C][C]0.655415[/C][C]0.689171[/C][C]0.344585[/C][/ROW]
[ROW][C]104[/C][C]0.669309[/C][C]0.661383[/C][C]0.330691[/C][/ROW]
[ROW][C]105[/C][C]0.70661[/C][C]0.586779[/C][C]0.29339[/C][/ROW]
[ROW][C]106[/C][C]0.721691[/C][C]0.556618[/C][C]0.278309[/C][/ROW]
[ROW][C]107[/C][C]0.734534[/C][C]0.530933[/C][C]0.265466[/C][/ROW]
[ROW][C]108[/C][C]0.740532[/C][C]0.518937[/C][C]0.259468[/C][/ROW]
[ROW][C]109[/C][C]0.746902[/C][C]0.506197[/C][C]0.253098[/C][/ROW]
[ROW][C]110[/C][C]0.753575[/C][C]0.492851[/C][C]0.246425[/C][/ROW]
[ROW][C]111[/C][C]0.73336[/C][C]0.53328[/C][C]0.26664[/C][/ROW]
[ROW][C]112[/C][C]0.716339[/C][C]0.567322[/C][C]0.283661[/C][/ROW]
[ROW][C]113[/C][C]0.728617[/C][C]0.542766[/C][C]0.271383[/C][/ROW]
[ROW][C]114[/C][C]0.72291[/C][C]0.55418[/C][C]0.27709[/C][/ROW]
[ROW][C]115[/C][C]0.730688[/C][C]0.538624[/C][C]0.269312[/C][/ROW]
[ROW][C]116[/C][C]0.726826[/C][C]0.546347[/C][C]0.273174[/C][/ROW]
[ROW][C]117[/C][C]0.72325[/C][C]0.5535[/C][C]0.27675[/C][/ROW]
[ROW][C]118[/C][C]0.703758[/C][C]0.592485[/C][C]0.296242[/C][/ROW]
[ROW][C]119[/C][C]0.68723[/C][C]0.62554[/C][C]0.31277[/C][/ROW]
[ROW][C]120[/C][C]0.659843[/C][C]0.680314[/C][C]0.340157[/C][/ROW]
[ROW][C]121[/C][C]0.647735[/C][C]0.704531[/C][C]0.352265[/C][/ROW]
[ROW][C]122[/C][C]0.650201[/C][C]0.699597[/C][C]0.349799[/C][/ROW]
[ROW][C]123[/C][C]0.678601[/C][C]0.642798[/C][C]0.321399[/C][/ROW]
[ROW][C]124[/C][C]0.653463[/C][C]0.693074[/C][C]0.346537[/C][/ROW]
[ROW][C]125[/C][C]0.64896[/C][C]0.70208[/C][C]0.35104[/C][/ROW]
[ROW][C]126[/C][C]0.644615[/C][C]0.71077[/C][C]0.355385[/C][/ROW]
[ROW][C]127[/C][C]0.644649[/C][C]0.710702[/C][C]0.355351[/C][/ROW]
[ROW][C]128[/C][C]0.648319[/C][C]0.703363[/C][C]0.351681[/C][/ROW]
[ROW][C]129[/C][C]0.643413[/C][C]0.713174[/C][C]0.356587[/C][/ROW]
[ROW][C]130[/C][C]0.642586[/C][C]0.714829[/C][C]0.357414[/C][/ROW]
[ROW][C]131[/C][C]0.627052[/C][C]0.745896[/C][C]0.372948[/C][/ROW]
[ROW][C]132[/C][C]0.618533[/C][C]0.762934[/C][C]0.381467[/C][/ROW]
[ROW][C]133[/C][C]0.633614[/C][C]0.732773[/C][C]0.366386[/C][/ROW]
[ROW][C]134[/C][C]0.633223[/C][C]0.733555[/C][C]0.366777[/C][/ROW]
[ROW][C]135[/C][C]0.615156[/C][C]0.769687[/C][C]0.384844[/C][/ROW]
[ROW][C]136[/C][C]0.597822[/C][C]0.804357[/C][C]0.402178[/C][/ROW]
[ROW][C]137[/C][C]0.600177[/C][C]0.799645[/C][C]0.399823[/C][/ROW]
[ROW][C]138[/C][C]0.608698[/C][C]0.782605[/C][C]0.391302[/C][/ROW]
[ROW][C]139[/C][C]0.579138[/C][C]0.841724[/C][C]0.420862[/C][/ROW]
[ROW][C]140[/C][C]0.606079[/C][C]0.787842[/C][C]0.393921[/C][/ROW]
[ROW][C]141[/C][C]0.591825[/C][C]0.81635[/C][C]0.408175[/C][/ROW]
[ROW][C]142[/C][C]0.578965[/C][C]0.84207[/C][C]0.421035[/C][/ROW]
[ROW][C]143[/C][C]0.568144[/C][C]0.863711[/C][C]0.431856[/C][/ROW]
[ROW][C]144[/C][C]0.555108[/C][C]0.889784[/C][C]0.444892[/C][/ROW]
[ROW][C]145[/C][C]0.568074[/C][C]0.863853[/C][C]0.431926[/C][/ROW]
[ROW][C]146[/C][C]0.540278[/C][C]0.919444[/C][C]0.459722[/C][/ROW]
[ROW][C]147[/C][C]0.55121[/C][C]0.897581[/C][C]0.44879[/C][/ROW]
[ROW][C]148[/C][C]0.537867[/C][C]0.924266[/C][C]0.462133[/C][/ROW]
[ROW][C]149[/C][C]0.530611[/C][C]0.938778[/C][C]0.469389[/C][/ROW]
[ROW][C]150[/C][C]0.526444[/C][C]0.947111[/C][C]0.473556[/C][/ROW]
[ROW][C]151[/C][C]0.523755[/C][C]0.952489[/C][C]0.476245[/C][/ROW]
[ROW][C]152[/C][C]0.536989[/C][C]0.926022[/C][C]0.463011[/C][/ROW]
[ROW][C]153[/C][C]0.523318[/C][C]0.953364[/C][C]0.476682[/C][/ROW]
[ROW][C]154[/C][C]0.523441[/C][C]0.953118[/C][C]0.476559[/C][/ROW]
[ROW][C]155[/C][C]0.546011[/C][C]0.907977[/C][C]0.453989[/C][/ROW]
[ROW][C]156[/C][C]0.537858[/C][C]0.924283[/C][C]0.462142[/C][/ROW]
[ROW][C]157[/C][C]0.522908[/C][C]0.954183[/C][C]0.477092[/C][/ROW]
[ROW][C]158[/C][C]0.534428[/C][C]0.931143[/C][C]0.465572[/C][/ROW]
[ROW][C]159[/C][C]0.560822[/C][C]0.878355[/C][C]0.439178[/C][/ROW]
[ROW][C]160[/C][C]0.553028[/C][C]0.893944[/C][C]0.446972[/C][/ROW]
[ROW][C]161[/C][C]0.580027[/C][C]0.839947[/C][C]0.419973[/C][/ROW]
[ROW][C]162[/C][C]0.605992[/C][C]0.788015[/C][C]0.394008[/C][/ROW]
[ROW][C]163[/C][C]0.610369[/C][C]0.779263[/C][C]0.389631[/C][/ROW]
[ROW][C]164[/C][C]0.636097[/C][C]0.727806[/C][C]0.363903[/C][/ROW]
[ROW][C]165[/C][C]0.615526[/C][C]0.768948[/C][C]0.384474[/C][/ROW]
[ROW][C]166[/C][C]0.614977[/C][C]0.770045[/C][C]0.385023[/C][/ROW]
[ROW][C]167[/C][C]0.599387[/C][C]0.801225[/C][C]0.400613[/C][/ROW]
[ROW][C]168[/C][C]0.585037[/C][C]0.829926[/C][C]0.414963[/C][/ROW]
[ROW][C]169[/C][C]0.609173[/C][C]0.781654[/C][C]0.390827[/C][/ROW]
[ROW][C]170[/C][C]0.602642[/C][C]0.794716[/C][C]0.397358[/C][/ROW]
[ROW][C]171[/C][C]0.594364[/C][C]0.811273[/C][C]0.405636[/C][/ROW]
[ROW][C]172[/C][C]0.620045[/C][C]0.75991[/C][C]0.379955[/C][/ROW]
[ROW][C]173[/C][C]0.608398[/C][C]0.783205[/C][C]0.391602[/C][/ROW]
[ROW][C]174[/C][C]0.631351[/C][C]0.737297[/C][C]0.368649[/C][/ROW]
[ROW][C]175[/C][C]0.658608[/C][C]0.682784[/C][C]0.341392[/C][/ROW]
[ROW][C]176[/C][C]0.654155[/C][C]0.69169[/C][C]0.345845[/C][/ROW]
[ROW][C]177[/C][C]0.640598[/C][C]0.718804[/C][C]0.359402[/C][/ROW]
[ROW][C]178[/C][C]0.656384[/C][C]0.687233[/C][C]0.343616[/C][/ROW]
[ROW][C]179[/C][C]0.630152[/C][C]0.739696[/C][C]0.369848[/C][/ROW]
[ROW][C]180[/C][C]0.625778[/C][C]0.748445[/C][C]0.374222[/C][/ROW]
[ROW][C]181[/C][C]0.624066[/C][C]0.751868[/C][C]0.375934[/C][/ROW]
[ROW][C]182[/C][C]0.660619[/C][C]0.678762[/C][C]0.339381[/C][/ROW]
[ROW][C]183[/C][C]0.64315[/C][C]0.713701[/C][C]0.35685[/C][/ROW]
[ROW][C]184[/C][C]0.632849[/C][C]0.734302[/C][C]0.367151[/C][/ROW]
[ROW][C]185[/C][C]0.647517[/C][C]0.704966[/C][C]0.352483[/C][/ROW]
[ROW][C]186[/C][C]0.660945[/C][C]0.678111[/C][C]0.339055[/C][/ROW]
[ROW][C]187[/C][C]0.662582[/C][C]0.674836[/C][C]0.337418[/C][/ROW]
[ROW][C]188[/C][C]0.684896[/C][C]0.630207[/C][C]0.315104[/C][/ROW]
[ROW][C]189[/C][C]0.735982[/C][C]0.528035[/C][C]0.264018[/C][/ROW]
[ROW][C]190[/C][C]0.727732[/C][C]0.544535[/C][C]0.272268[/C][/ROW]
[ROW][C]191[/C][C]0.737257[/C][C]0.525486[/C][C]0.262743[/C][/ROW]
[ROW][C]192[/C][C]0.716792[/C][C]0.566417[/C][C]0.283208[/C][/ROW]
[ROW][C]193[/C][C]0.694825[/C][C]0.61035[/C][C]0.305175[/C][/ROW]
[ROW][C]194[/C][C]0.671547[/C][C]0.656906[/C][C]0.328453[/C][/ROW]
[ROW][C]195[/C][C]0.64434[/C][C]0.71132[/C][C]0.35566[/C][/ROW]
[ROW][C]196[/C][C]0.626875[/C][C]0.746251[/C][C]0.373125[/C][/ROW]
[ROW][C]197[/C][C]0.609869[/C][C]0.780263[/C][C]0.390131[/C][/ROW]
[ROW][C]198[/C][C]0.608543[/C][C]0.782915[/C][C]0.391457[/C][/ROW]
[ROW][C]199[/C][C]0.619513[/C][C]0.760974[/C][C]0.380487[/C][/ROW]
[ROW][C]200[/C][C]0.605928[/C][C]0.788143[/C][C]0.394072[/C][/ROW]
[ROW][C]201[/C][C]0.57442[/C][C]0.85116[/C][C]0.42558[/C][/ROW]
[ROW][C]202[/C][C]0.552525[/C][C]0.894951[/C][C]0.447475[/C][/ROW]
[ROW][C]203[/C][C]0.599221[/C][C]0.801558[/C][C]0.400779[/C][/ROW]
[ROW][C]204[/C][C]0.601288[/C][C]0.797425[/C][C]0.398712[/C][/ROW]
[ROW][C]205[/C][C]0.608729[/C][C]0.782542[/C][C]0.391271[/C][/ROW]
[ROW][C]206[/C][C]0.588458[/C][C]0.823084[/C][C]0.411542[/C][/ROW]
[ROW][C]207[/C][C]0.591814[/C][C]0.816371[/C][C]0.408186[/C][/ROW]
[ROW][C]208[/C][C]0.5651[/C][C]0.8698[/C][C]0.4349[/C][/ROW]
[ROW][C]209[/C][C]0.546994[/C][C]0.906012[/C][C]0.453006[/C][/ROW]
[ROW][C]210[/C][C]0.581467[/C][C]0.837066[/C][C]0.418533[/C][/ROW]
[ROW][C]211[/C][C]0.584645[/C][C]0.83071[/C][C]0.415355[/C][/ROW]
[ROW][C]212[/C][C]0.584986[/C][C]0.830028[/C][C]0.415014[/C][/ROW]
[ROW][C]213[/C][C]0.547465[/C][C]0.905071[/C][C]0.452535[/C][/ROW]
[ROW][C]214[/C][C]0.547683[/C][C]0.904635[/C][C]0.452317[/C][/ROW]
[ROW][C]215[/C][C]0.564114[/C][C]0.871772[/C][C]0.435886[/C][/ROW]
[ROW][C]216[/C][C]0.541552[/C][C]0.916895[/C][C]0.458448[/C][/ROW]
[ROW][C]217[/C][C]0.543111[/C][C]0.913778[/C][C]0.456889[/C][/ROW]
[ROW][C]218[/C][C]0.533684[/C][C]0.932633[/C][C]0.466316[/C][/ROW]
[ROW][C]219[/C][C]0.508033[/C][C]0.983933[/C][C]0.491967[/C][/ROW]
[ROW][C]220[/C][C]0.483771[/C][C]0.967542[/C][C]0.516229[/C][/ROW]
[ROW][C]221[/C][C]0.536533[/C][C]0.926933[/C][C]0.463467[/C][/ROW]
[ROW][C]222[/C][C]0.594712[/C][C]0.810576[/C][C]0.405288[/C][/ROW]
[ROW][C]223[/C][C]0.634035[/C][C]0.73193[/C][C]0.365965[/C][/ROW]
[ROW][C]224[/C][C]0.621138[/C][C]0.757724[/C][C]0.378862[/C][/ROW]
[ROW][C]225[/C][C]0.615778[/C][C]0.768444[/C][C]0.384222[/C][/ROW]
[ROW][C]226[/C][C]0.588082[/C][C]0.823836[/C][C]0.411918[/C][/ROW]
[ROW][C]227[/C][C]0.565694[/C][C]0.868612[/C][C]0.434306[/C][/ROW]
[ROW][C]228[/C][C]0.525554[/C][C]0.948892[/C][C]0.474446[/C][/ROW]
[ROW][C]229[/C][C]0.533298[/C][C]0.933404[/C][C]0.466702[/C][/ROW]
[ROW][C]230[/C][C]0.547941[/C][C]0.904119[/C][C]0.452059[/C][/ROW]
[ROW][C]231[/C][C]0.701833[/C][C]0.596333[/C][C]0.298167[/C][/ROW]
[ROW][C]232[/C][C]0.752675[/C][C]0.494651[/C][C]0.247325[/C][/ROW]
[ROW][C]233[/C][C]0.764715[/C][C]0.47057[/C][C]0.235285[/C][/ROW]
[ROW][C]234[/C][C]0.746045[/C][C]0.507909[/C][C]0.253955[/C][/ROW]
[ROW][C]235[/C][C]0.71895[/C][C]0.5621[/C][C]0.28105[/C][/ROW]
[ROW][C]236[/C][C]0.725073[/C][C]0.549853[/C][C]0.274927[/C][/ROW]
[ROW][C]237[/C][C]0.725353[/C][C]0.549293[/C][C]0.274647[/C][/ROW]
[ROW][C]238[/C][C]0.733439[/C][C]0.533122[/C][C]0.266561[/C][/ROW]
[ROW][C]239[/C][C]0.734259[/C][C]0.531481[/C][C]0.265741[/C][/ROW]
[ROW][C]240[/C][C]0.695795[/C][C]0.60841[/C][C]0.304205[/C][/ROW]
[ROW][C]241[/C][C]0.69129[/C][C]0.617421[/C][C]0.30871[/C][/ROW]
[ROW][C]242[/C][C]0.660305[/C][C]0.679391[/C][C]0.339695[/C][/ROW]
[ROW][C]243[/C][C]0.686096[/C][C]0.627807[/C][C]0.313904[/C][/ROW]
[ROW][C]244[/C][C]0.700542[/C][C]0.598915[/C][C]0.299458[/C][/ROW]
[ROW][C]245[/C][C]0.679177[/C][C]0.641646[/C][C]0.320823[/C][/ROW]
[ROW][C]246[/C][C]0.688214[/C][C]0.623573[/C][C]0.311786[/C][/ROW]
[ROW][C]247[/C][C]0.819454[/C][C]0.361092[/C][C]0.180546[/C][/ROW]
[ROW][C]248[/C][C]0.817635[/C][C]0.364731[/C][C]0.182365[/C][/ROW]
[ROW][C]249[/C][C]0.837247[/C][C]0.325506[/C][C]0.162753[/C][/ROW]
[ROW][C]250[/C][C]0.836818[/C][C]0.326365[/C][C]0.163182[/C][/ROW]
[ROW][C]251[/C][C]0.813705[/C][C]0.37259[/C][C]0.186295[/C][/ROW]
[ROW][C]252[/C][C]0.777076[/C][C]0.445848[/C][C]0.222924[/C][/ROW]
[ROW][C]253[/C][C]0.839474[/C][C]0.321052[/C][C]0.160526[/C][/ROW]
[ROW][C]254[/C][C]0.802258[/C][C]0.395484[/C][C]0.197742[/C][/ROW]
[ROW][C]255[/C][C]0.784994[/C][C]0.430012[/C][C]0.215006[/C][/ROW]
[ROW][C]256[/C][C]0.838531[/C][C]0.322938[/C][C]0.161469[/C][/ROW]
[ROW][C]257[/C][C]0.867827[/C][C]0.264345[/C][C]0.132173[/C][/ROW]
[ROW][C]258[/C][C]0.863612[/C][C]0.272776[/C][C]0.136388[/C][/ROW]
[ROW][C]259[/C][C]0.890155[/C][C]0.21969[/C][C]0.109845[/C][/ROW]
[ROW][C]260[/C][C]0.912677[/C][C]0.174646[/C][C]0.0873228[/C][/ROW]
[ROW][C]261[/C][C]0.948414[/C][C]0.103173[/C][C]0.0515864[/C][/ROW]
[ROW][C]262[/C][C]0.927116[/C][C]0.145769[/C][C]0.0728844[/C][/ROW]
[ROW][C]263[/C][C]0.900289[/C][C]0.199423[/C][C]0.0997113[/C][/ROW]
[ROW][C]264[/C][C]0.984488[/C][C]0.0310236[/C][C]0.0155118[/C][/ROW]
[ROW][C]265[/C][C]0.975052[/C][C]0.0498964[/C][C]0.0249482[/C][/ROW]
[ROW][C]266[/C][C]0.961098[/C][C]0.0778039[/C][C]0.038902[/C][/ROW]
[ROW][C]267[/C][C]0.998728[/C][C]0.00254465[/C][C]0.00127232[/C][/ROW]
[ROW][C]268[/C][C]0.997173[/C][C]0.00565317[/C][C]0.00282658[/C][/ROW]
[ROW][C]269[/C][C]0.993951[/C][C]0.0120977[/C][C]0.00604886[/C][/ROW]
[ROW][C]270[/C][C]0.989246[/C][C]0.0215076[/C][C]0.0107538[/C][/ROW]
[ROW][C]271[/C][C]0.983715[/C][C]0.0325693[/C][C]0.0162847[/C][/ROW]
[ROW][C]272[/C][C]0.967502[/C][C]0.0649956[/C][C]0.0324978[/C][/ROW]
[ROW][C]273[/C][C]0.945719[/C][C]0.108563[/C][C]0.0542814[/C][/ROW]
[ROW][C]274[/C][C]0.897538[/C][C]0.204925[/C][C]0.102462[/C][/ROW]
[ROW][C]275[/C][C]0.831876[/C][C]0.336249[/C][C]0.168124[/C][/ROW]
[ROW][C]276[/C][C]0.756221[/C][C]0.487557[/C][C]0.243779[/C][/ROW]
[ROW][C]277[/C][C]0.657628[/C][C]0.684744[/C][C]0.342372[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266645&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266645&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
10	0	0	1
11	3.87472e-62	7.74944e-62	1
12	5.43223e-75	1.08645e-74	1
13	0	0	1
14	0	0	1
15	5.27817e-122	1.05563e-121	1
16	0	0	1
17	0.0145919	0.0291838	0.985408
18	0.00709882	0.0141976	0.992901
19	0.00381164	0.00762328	0.996188
20	0.0225925	0.0451851	0.977407
21	0.0170588	0.0341177	0.982941
22	0.00992227	0.0198445	0.990078
23	0.00586294	0.0117259	0.994137
24	0.00326637	0.00653275	0.996734
25	0.00194884	0.00389768	0.998051
26	0.00173262	0.00346525	0.998267
27	0.0014517	0.00290341	0.998548
28	0.0147047	0.0294095	0.985295
29	0.0666256	0.133251	0.933374
30	0.0492612	0.0985223	0.950739
31	0.0356252	0.0712504	0.964375
32	0.0255081	0.0510162	0.974492
33	0.0181855	0.0363709	0.981815
34	0.0128677	0.0257354	0.987132
35	0.00923019	0.0184604	0.99077
36	0.00643274	0.0128655	0.993567
37	0.00451963	0.00903926	0.99548
38	0.00311445	0.0062289	0.996886
39	0.00224459	0.00448918	0.997755
40	0.0150962	0.0301923	0.984904
41	0.0111751	0.0223502	0.988825
42	0.00822475	0.0164495	0.991775
43	0.00597386	0.0119477	0.994026
44	0.00411464	0.00822928	0.995885
45	0.00291022	0.00582044	0.99709
46	0.00201761	0.00403522	0.997982
47	0.0120917	0.0241833	0.987908
48	0.00926603	0.0185321	0.990734
49	0.00735127	0.0147025	0.992649
50	0.0195191	0.0390381	0.980481
51	0.0174942	0.0349883	0.982506
52	0.0408643	0.0817286	0.959136
53	0.0694634	0.138927	0.930537
54	0.11848	0.236959	0.88152
55	0.104451	0.208903	0.895549
56	0.13717	0.27434	0.86283
57	0.122942	0.245884	0.877058
58	0.108353	0.216706	0.891647
59	0.157091	0.314181	0.842909
60	0.143073	0.286146	0.856927
61	0.198054	0.396107	0.801946
62	0.24768	0.49536	0.75232
63	0.231234	0.462467	0.768766
64	0.223359	0.446717	0.776641
65	0.202703	0.405406	0.797297
66	0.18184	0.363681	0.81816
67	0.163636	0.327271	0.836364
68	0.206777	0.413553	0.793223
69	0.186067	0.372133	0.813933
70	0.167091	0.334182	0.832909
71	0.156959	0.313919	0.843041
72	0.195028	0.390056	0.804972
73	0.190574	0.381147	0.809426
74	0.178132	0.356263	0.821868
75	0.220073	0.440146	0.779927
76	0.266008	0.532017	0.733992
77	0.251447	0.502895	0.748553
78	0.235532	0.471065	0.764468
79	0.234786	0.469572	0.765214
80	0.219929	0.439857	0.780071
81	0.265121	0.530242	0.734879
82	0.250396	0.500792	0.749604
83	0.277942	0.555884	0.722058
84	0.277483	0.554965	0.722517
85	0.328899	0.657799	0.671101
86	0.363092	0.726185	0.636908
87	0.399744	0.799487	0.600256
88	0.431065	0.86213	0.568935
89	0.439213	0.878427	0.560787
90	0.457343	0.914685	0.542657
91	0.515062	0.969877	0.484938
92	0.546358	0.907283	0.453642
93	0.570841	0.858317	0.429159
94	0.56592	0.868159	0.43408
95	0.571772	0.856456	0.428228
96	0.587522	0.824956	0.412478
97	0.587976	0.824048	0.412024
98	0.600456	0.799088	0.399544
99	0.602186	0.795628	0.397814
100	0.604366	0.791268	0.395634
101	0.611499	0.777002	0.388501
102	0.646373	0.707253	0.353627
103	0.655415	0.689171	0.344585
104	0.669309	0.661383	0.330691
105	0.70661	0.586779	0.29339
106	0.721691	0.556618	0.278309
107	0.734534	0.530933	0.265466
108	0.740532	0.518937	0.259468
109	0.746902	0.506197	0.253098
110	0.753575	0.492851	0.246425
111	0.73336	0.53328	0.26664
112	0.716339	0.567322	0.283661
113	0.728617	0.542766	0.271383
114	0.72291	0.55418	0.27709
115	0.730688	0.538624	0.269312
116	0.726826	0.546347	0.273174
117	0.72325	0.5535	0.27675
118	0.703758	0.592485	0.296242
119	0.68723	0.62554	0.31277
120	0.659843	0.680314	0.340157
121	0.647735	0.704531	0.352265
122	0.650201	0.699597	0.349799
123	0.678601	0.642798	0.321399
124	0.653463	0.693074	0.346537
125	0.64896	0.70208	0.35104
126	0.644615	0.71077	0.355385
127	0.644649	0.710702	0.355351
128	0.648319	0.703363	0.351681
129	0.643413	0.713174	0.356587
130	0.642586	0.714829	0.357414
131	0.627052	0.745896	0.372948
132	0.618533	0.762934	0.381467
133	0.633614	0.732773	0.366386
134	0.633223	0.733555	0.366777
135	0.615156	0.769687	0.384844
136	0.597822	0.804357	0.402178
137	0.600177	0.799645	0.399823
138	0.608698	0.782605	0.391302
139	0.579138	0.841724	0.420862
140	0.606079	0.787842	0.393921
141	0.591825	0.81635	0.408175
142	0.578965	0.84207	0.421035
143	0.568144	0.863711	0.431856
144	0.555108	0.889784	0.444892
145	0.568074	0.863853	0.431926
146	0.540278	0.919444	0.459722
147	0.55121	0.897581	0.44879
148	0.537867	0.924266	0.462133
149	0.530611	0.938778	0.469389
150	0.526444	0.947111	0.473556
151	0.523755	0.952489	0.476245
152	0.536989	0.926022	0.463011
153	0.523318	0.953364	0.476682
154	0.523441	0.953118	0.476559
155	0.546011	0.907977	0.453989
156	0.537858	0.924283	0.462142
157	0.522908	0.954183	0.477092
158	0.534428	0.931143	0.465572
159	0.560822	0.878355	0.439178
160	0.553028	0.893944	0.446972
161	0.580027	0.839947	0.419973
162	0.605992	0.788015	0.394008
163	0.610369	0.779263	0.389631
164	0.636097	0.727806	0.363903
165	0.615526	0.768948	0.384474
166	0.614977	0.770045	0.385023
167	0.599387	0.801225	0.400613
168	0.585037	0.829926	0.414963
169	0.609173	0.781654	0.390827
170	0.602642	0.794716	0.397358
171	0.594364	0.811273	0.405636
172	0.620045	0.75991	0.379955
173	0.608398	0.783205	0.391602
174	0.631351	0.737297	0.368649
175	0.658608	0.682784	0.341392
176	0.654155	0.69169	0.345845
177	0.640598	0.718804	0.359402
178	0.656384	0.687233	0.343616
179	0.630152	0.739696	0.369848
180	0.625778	0.748445	0.374222
181	0.624066	0.751868	0.375934
182	0.660619	0.678762	0.339381
183	0.64315	0.713701	0.35685
184	0.632849	0.734302	0.367151
185	0.647517	0.704966	0.352483
186	0.660945	0.678111	0.339055
187	0.662582	0.674836	0.337418
188	0.684896	0.630207	0.315104
189	0.735982	0.528035	0.264018
190	0.727732	0.544535	0.272268
191	0.737257	0.525486	0.262743
192	0.716792	0.566417	0.283208
193	0.694825	0.61035	0.305175
194	0.671547	0.656906	0.328453
195	0.64434	0.71132	0.35566
196	0.626875	0.746251	0.373125
197	0.609869	0.780263	0.390131
198	0.608543	0.782915	0.391457
199	0.619513	0.760974	0.380487
200	0.605928	0.788143	0.394072
201	0.57442	0.85116	0.42558
202	0.552525	0.894951	0.447475
203	0.599221	0.801558	0.400779
204	0.601288	0.797425	0.398712
205	0.608729	0.782542	0.391271
206	0.588458	0.823084	0.411542
207	0.591814	0.816371	0.408186
208	0.5651	0.8698	0.4349
209	0.546994	0.906012	0.453006
210	0.581467	0.837066	0.418533
211	0.584645	0.83071	0.415355
212	0.584986	0.830028	0.415014
213	0.547465	0.905071	0.452535
214	0.547683	0.904635	0.452317
215	0.564114	0.871772	0.435886
216	0.541552	0.916895	0.458448
217	0.543111	0.913778	0.456889
218	0.533684	0.932633	0.466316
219	0.508033	0.983933	0.491967
220	0.483771	0.967542	0.516229
221	0.536533	0.926933	0.463467
222	0.594712	0.810576	0.405288
223	0.634035	0.73193	0.365965
224	0.621138	0.757724	0.378862
225	0.615778	0.768444	0.384222
226	0.588082	0.823836	0.411918
227	0.565694	0.868612	0.434306
228	0.525554	0.948892	0.474446
229	0.533298	0.933404	0.466702
230	0.547941	0.904119	0.452059
231	0.701833	0.596333	0.298167
232	0.752675	0.494651	0.247325
233	0.764715	0.47057	0.235285
234	0.746045	0.507909	0.253955
235	0.71895	0.5621	0.28105
236	0.725073	0.549853	0.274927
237	0.725353	0.549293	0.274647
238	0.733439	0.533122	0.266561
239	0.734259	0.531481	0.265741
240	0.695795	0.60841	0.304205
241	0.69129	0.617421	0.30871
242	0.660305	0.679391	0.339695
243	0.686096	0.627807	0.313904
244	0.700542	0.598915	0.299458
245	0.679177	0.641646	0.320823
246	0.688214	0.623573	0.311786
247	0.819454	0.361092	0.180546
248	0.817635	0.364731	0.182365
249	0.837247	0.325506	0.162753
250	0.836818	0.326365	0.163182
251	0.813705	0.37259	0.186295
252	0.777076	0.445848	0.222924
253	0.839474	0.321052	0.160526
254	0.802258	0.395484	0.197742
255	0.784994	0.430012	0.215006
256	0.838531	0.322938	0.161469
257	0.867827	0.264345	0.132173
258	0.863612	0.272776	0.136388
259	0.890155	0.21969	0.109845
260	0.912677	0.174646	0.0873228
261	0.948414	0.103173	0.0515864
262	0.927116	0.145769	0.0728844
263	0.900289	0.199423	0.0997113
264	0.984488	0.0310236	0.0155118
265	0.975052	0.0498964	0.0249482
266	0.961098	0.0778039	0.038902
267	0.998728	0.00254465	0.00127232
268	0.997173	0.00565317	0.00282658
269	0.993951	0.0120977	0.00604886
270	0.989246	0.0215076	0.0107538
271	0.983715	0.0325693	0.0162847
272	0.967502	0.0649956	0.0324978
273	0.945719	0.108563	0.0542814
274	0.897538	0.204925	0.102462
275	0.831876	0.336249	0.168124
276	0.756221	0.487557	0.243779
277	0.657628	0.684744	0.342372

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	20	0.0746269	NOK
5% type I error level	45	0.16791	NOK
10% type I error level	51	0.190299	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 & 20 & 0.0746269 & NOK \tabularnewline
5% type I error level & 45 & 0.16791 & NOK \tabularnewline
10% type I error level & 51 & 0.190299 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266645&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]20[/C][C]0.0746269[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]45[/C][C]0.16791[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]51[/C][C]0.190299[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266645&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266645&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	20	0.0746269	NOK
5% type I error level	45	0.16791	NOK
10% type I error level	51	0.190299	NOK

Figure 1

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Figure 7

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Figure 8

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Figure 9

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Figure 10

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Parameters (Session):

par1 = 7 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;

Parameters (R input):

par1 = 7 ; 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