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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationWed, 14 Jan 2015 16:54:36 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Jan/14/t1421254634sso1lfs0j7mau38.htm/, Retrieved Wed, 15 May 2024 04:29:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=272410, Retrieved Wed, 15 May 2024 04:29:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact62

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2008-12-08 19:22:39] [d2d412c7f4d35ffbf5ee5ee89db327d4]
- RMP   [Variance Reduction Matrix] [] [2011-12-06 19:45:50] [b98453cac15ba1066b407e146608df68]
- RM D      [Multiple Regression] [] [2015-01-14 16:54:36] [d454767f31e55c992bbabd9ca35571ec] [Current]
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Dataset

Dataseries X:
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Histogram
Boxplots 
1 0.5 0.67 0.67 0 0.5 2011 1 0
0.89 0.5 0.83 0.33 0.5 1 2011 1 1
0.89 0.4 1 0.67 0 1 2011 1 0
0.89 0.5 0.83 0 0 0 2011 1 1
0.89 0.7 0.67 0 1 1 2011 1 1
0.78 0.3 0 0 0.5 0.5 2011 1 1
0.89 0.4 0.83 0.67 0.5 0 2011 1 0
1 0.4 0.5 0.67 1 1 2011 1 1
0.89 0.7 0.83 0 0.5 0 2011 1 1
0.78 0.6 0.33 0.67 0.5 0.5 2011 1 1
1 0.6 0.5 1 0 0.5 2011 1 1
0.78 0.2 0.67 0 0.5 0.5 2011 1 1
0.89 0.4 1 0 0.5 0.5 2011 1 1
0.89 0.4 0.5 0.67 0 1 2011 1 0
0.89 0.5 0.67 0.33 0 0 2011 1 0
0.89 0.3 0.17 0.67 0 0.5 2011 0 0
0.89 0.4 0.83 0.33 0.5 0.5 2011 1 1
0.67 0.7 0.67 0.33 0.5 1 2011 1 0
1 0.5 0.67 0.33 0 1 2011 0 1
0.78 0.2 0.67 0 0 1 2011 1 0
0.78 0.3 0.5 0.67 0 0.5 2011 1 1
0.89 0.6 1 0.33 0 1 2011 1 1
0.78 0.6 0.83 0.33 0 1 2011 1 0
0.89 0.2 0.83 0.33 0 1 2011 1 1
0.89 0.7 1 0.67 1 0 2011 1 1
0.33 0.2 0.67 0 0 0 2011 1 1
1 1 1 0.33 1 1 2011 0 1
0.89 0.4 0.83 0.67 0 0.5 2011 0 0
0.89 0.4 1 1 0 1 2011 1 1
0.67 0.2 0.83 0.67 0 0.5 2011 1 0
0.56 0.4 0.67 0.33 0 1 2011 1 0
0.89 0.4 0.67 0 0.5 1 2011 1 0
0.89 0.7 1 0.67 0.5 0.5 2011 1 1
1 0.2 0.67 0.67 0 0.5 2011 1 1
0.78 0.6 1 1 0 0.5 2011 1 1
0.78 0.3 1 1 0.5 0.5 2011 1 1
0.33 0.3 0.5 0.33 0 0 2011 1 0
0.78 0.2 0.67 0 0.5 0 2011 0 1
0.89 0.5 0.83 0.67 0.5 0.5 2011 1 1
0.89 0.7 1 0.67 0.5 1 2011 1 0
0.78 0.6 1 0.67 0.5 0.5 2011 1 1
0.89 0.4 1 0.67 0.5 1 2011 1 1
0.89 0.6 1 0.33 0.5 1 2011 1 1
1 0.4 1 1 0 1 2011 1 1
0.67 0.3 0.83 0.67 0 1 2011 0 1
1 0.5 0.83 0.67 0.5 0.5 2011 1 0
0.89 0.2 0.5 0 0 1 2011 1 1
0.89 0.3 0.83 0 0.5 1 2011 0 1
0.89 0.5 0.17 0 0 1 2011 1 0
0.78 0.7 0.83 1 0.5 1 2011 0 1
0.89 0.4 1 0.67 1 0.5 2011 0 1
0.78 0.3 1 0 0 0.5 2011 0 1
0.78 0.2 0.67 0.67 1 1 2011 1 1
1 0.5 1 0 0 0.5 2011 0 1
0.78 0.4 1 0 0.5 0 2011 1 1
1 0.6 1 0.67 1 1 2011 1 1
0.78 0.4 0.83 1 0 1 2011 0 0
0.67 0.4 0.33 0 0 0.5 2011 1 1
0.33 0.2 0.33 0.33 0 0 2011 0 0
1 0.9 1 0.67 0.5 1 2011 0 1
1 0.8 1 0.67 1 0.5 2011 1 1
0.78 0.8 0.83 0 0.5 1 2011 1 0
0.67 0.3 1 1 0.5 1 2011 1 0
1 0.2 0.83 0.67 0 0.5 2011 1 1
0.89 0.4 0.67 0 0.5 1 2011 1 0
0.89 0.2 0.83 1 0 1 2011 0 1
0.78 0.2 0.67 0.67 0.5 1 2011 1 0
1 0.1 0.83 0.67 0 1 2011 1 1
0.56 0.4 0.67 1 0.5 0 2011 1 1
0.67 0.5 1 0 0.5 0.5 2011 0 0
0.89 0.8 0.83 0.33 0.5 1 2011 1 0
0.89 0.4 0.67 0.67 0 0.5 2011 1 0
0.89 0.6 0.83 0.33 0.5 0.5 2011 0 0
0.89 0.5 0.83 0.67 0.5 1 2011 0 1
0.78 0.3 0.67 0 0 0 2011 1 0
1 0.4 0.33 0 0.5 0 2011 1 0
1 0.6 0.83 0.67 0.5 0.5 2011 0 1
0.89 0.4 1 0.33 0 0.5 2011 1 0
0.44 0.3 0.83 0 0 0 2011 0 0
0.78 0.8 0.83 0 1 1 2011 1 1
0.89 0.6 0.5 0.33 1 1 2011 0 0
0.67 0.3 0.5 0 0 0 2011 0 0
0.78 0.5 0.83 0.67 0.5 1 2011 0 0
0.78 0.4 1 0.33 0 1 2011 0 1
0.33 0.3 0.33 0.67 0 0 2011 0 0
0.89 0.7 1 0.33 0 0.5 2011 0 1
0.89 0.2 0.67 0.33 0.5 0.5 2011 0 1
0.89 0.4 0.83 1 0 1 2011 0 0
0.89 0.6 1 0.67 0.5 0.5 2011 0 0
0.56 0.6 0.83 0 0 1 2011 0 0
0.67 0.6 0.83 0.67 0.5 0.5 2011 0 1
0.67 0.4 1 0.33 0.5 1 2011 0 1
0.78 0.6 0.83 0 0 1 2011 0 1
0.78 0.5 1 0.33 0.5 1 2011 0 0
0.78 0.5 0.83 0 0 1 2011 0 1
0.89 0.6 0.67 0 0 1 2011 0 0
1 0.8 0.83 0.33 0.5 1 2011 0 1
0.89 0.5 0.83 0.67 1 0.5 2011 0 1
0.89 0.6 0.83 0.67 0.5 1 2011 0 1
0.78 0.4 0.83 0.67 0.5 1 2011 0 1
1 0.3 0.67 0.67 0.5 1 2011 0 1
0.78 0.3 0.83 1 0 0.5 2011 0 0
0.67 0.2 0 0 0 0 2011 0 1
0.78 0.4 0.83 0 0 0.5 2011 0 1
0.89 0.5 1 0 0 0.5 2011 0 1
0.67 0.3 0.17 0 0.5 0 2011 0 0
0.22 0.4 0.17 0 0.5 0 2011 0 0
0.44 0.5 0.5 1 0 0 2011 0 0
0.89 0.3 0.5 0.67 0 1 2011 0 0
0.67 0.5 1 0 0 0.5 2011 0 0
0.89 0.4 0.67 0.67 0 0.5 2011 0 0
0.67 0.4 0.83 0.67 0 1 2011 0 1
0.78 0.6 1 0 1 1 2012 1 1
0.78 0.3 1 0.67 1 1 2012 1 1
0.78 0.4 1 0.33 1 0.5 2012 1 1
1 0.3 1 1 1 1 2012 1 1
0.78 1 1 1 1 1 2012 0 0
0.67 0.4 1 0 0 0.5 2012 0 1
0.89 0.8 0.83 1 0.5 1 2012 1 1
0.89 0.3 1 0.67 1 1 2012 1 0
1 0.5 0.83 0.67 0 1 2012 1 1
0.78 0.4 1 0 0 0.5 2012 1 0
0.67 0.3 0.83 0.67 0 1 2012 1 0
0.89 0.5 0.83 1 0 1 2012 1 1
0.67 0.3 1 0.67 0 1 2012 1 1
0.67 0.3 0.67 0 0 1 2012 1 1
1 0.4 0.83 0 0 1 2012 1 1
0.67 0.3 1 0 0 0.5 2012 1 1
1 0.6 1 0.33 0.5 0.5 2012 0 1
0.89 0.6 0.83 0.67 1 1 2012 1 1
0.89 0.4 1 1 1 1 2012 1 1
1 0.4 1 0 0 0 2012 1 0
0.67 0.4 1 0.67 0 0.5 2012 1 1
0.44 0.3 0.67 0.67 0.5 1 2012 1 1
0.89 0.2 1 0.33 1 0 2012 1 1
0.56 0.5 0.83 0.67 0 1 2012 1 1
0.78 0.4 1 0.67 1 1 2012 1 1
1 0.4 1 0.67 0 0 2012 1 1
1 0.4 0.83 0.67 0 1 2012 1 0
0.89 0.3 0.67 0.67 0.5 0.5 2012 1 1
0.67 0.4 0.83 0.67 1 0.5 2012 0 1
0.89 0.2 1 0.33 0.5 1 2012 1 1
0.33 0 0 0 0 0 2012 1 1
0.89 0.4 1 0.67 0.5 1 2012 1 1
0.78 0.6 1 0 1 1 2012 1 0
1 0.4 0.67 0.67 0 0.5 2012 1 0
0.44 0.4 1 0 0 0.5 2012 1 1
0.67 0.4 0.83 0 0.5 0 2012 1 0
0.33 0.2 0.17 0 0.5 0 2012 1 0
0.89 0.4 0.83 1 1 1 2012 1 1
0.89 0.3 0.83 0 0 0.5 2012 1 0
1 0.6 0.83 0.67 1 0 2012 1 1
0.89 0.6 0.83 1 0 1 2012 1 1
0.89 0.4 0.83 0 0 1 2012 1 0
1 0.5 1 0.67 1 0.5 2012 0 1
0.89 0.4 0.83 0 0.5 1 2012 0 1
1 0.6 1 1 1 1 2012 1 1
0.78 0.6 0.83 0.67 0.5 1 2012 1 0
0.78 0.9 1 0.67 0.5 1 2012 0 0
0.67 0.4 0.83 0.67 0.5 0 2012 0 0
0.89 0.8 1 1 0.5 1 2012 0 0
0.67 0.5 0.83 1 0 1 2012 0 1
0.78 0.4 0.83 1 0 0 2012 1 0
0.89 0.4 1 0.67 1 0.5 2012 1 1
0.89 0.7 1 1 1 0.5 2012 0 0
0.78 0.4 1 0.33 1 1 2012 0 1
1 0.8 1 0.67 0.5 1 2012 0 0
1 0.4 1 1 1 0.5 2012 0 1
1 0.3 1 0.67 0 0.5 2012 0 0
0.67 0.5 1 0.67 0.5 1 2012 0 0
0.89 0.8 1 0.67 1 1 2012 0 1
1 0.4 0.83 0.33 0 0.5 2012 0 0
1 1 1 1 0.5 0 2012 0 1
0.89 0.5 1 0.67 1 1 2012 1 1
0.89 0.5 1 0.67 1 1 2012 1 1
0.89 0.3 1 0.33 0 1 2012 0 1
0.89 0.3 0.83 0.33 0.5 1 2012 1 1
0.89 0.3 0.5 0 0 1 2012 1 0
1 0.4 0.67 0.33 0.5 0.5 2012 0 1
0.67 0.5 1 0.33 0 1 2012 1 0
1 0.5 0.67 0.67 0.5 1 2012 0 0
0.89 0.4 1 0 0 0 2012 0 0
0.89 0.7 1 1 0.5 0 2012 1 1
0.89 0.5 0.5 0.33 0 0.5 2012 0 0
0.89 0.4 0.67 0.33 1 0 2012 0 1
1 0.7 0.67 1 0 1 2012 0 0
1 0.7 0.67 1 0 1 2012 0 0
1 0.7 0.67 1 0 1 2012 0 0
0.89 0.7 0.67 1 0 1 2012 0 0
0.89 0.7 0.67 0 0 0 2012 0 1
0.89 0.7 1 0.67 0.5 1 2012 0 1
0.33 0.1 0.67 0.33 0.5 0 2012 0 1
0.67 0.2 0.67 0.67 0.5 1 2012 0 1
0.56 0.3 0.33 0.33 0 1 2012 0 0
0.44 0.6 0.83 0.33 0 0.5 2012 0 0
1 0.8 1 1 1 1 2012 0 1
0.89 0.8 1 0.33 0.5 0.5 2012 1 0
0.33 0 0.17 0 0 0 2012 0 0
0.67 0.3 0.67 0.33 0 1 2012 0 0
0.67 0.6 0.83 0.33 0.5 1 2012 0 0
1 0.5 0.83 0.67 0 1 2012 1 1
0.78 0.7 1 0.33 0 0.5 2012 0 1
0.67 0.3 0.83 0 0.5 1 2012 1 0
1 0.3 1 0.67 0 0 2012 0 0
0.78 0.4 1 0.67 0 0.5 2012 1 1
0.89 0.4 0.83 1 0 1 2012 0 0
0.89 0.1 0.83 0 0 1 2012 1 1
0.89 0.5 1 0.67 0 1 2012 0 1
0 0 0 0 0 0 2012 0 0
0.67 0.4 1 0.33 0.5 0 2012 0 1
1 0.6 0.83 0.67 1 0.5 2012 0 1
1 0.4 1 0.33 0.5 1 2012 1 1
0.67 0.1 0.33 0 0.5 1 2012 1 0
0.89 0.3 0.83 0 0 1 2012 0 0
0.89 0.7 0.83 0.67 0 1 2012 1 0
0.56 0.3 0.17 0 0 1 2012 1 1
0.67 0.5 0.83 0.33 0.5 0 2012 0 1
1 0.3 0.83 0.67 1 1 2012 1 1
1 0.6 0.67 0.67 0.5 1 2012 0 1
1 0.9 1 1 0 1 2012 0 0
0.67 0.4 0.83 0 0.5 1 2012 1 0
0.44 0.3 1 0 0.5 0.5 2012 0 0
0.89 0.9 1 0.67 1 1 2012 1 1
0.44 0.5 1 0 0.5 0 2012 1 1
0.56 0.3 1 1 0.5 0.5 2012 1 0
0.89 0.6 0.83 0.67 0 0.5 2012 0 0
0.67 0.2 1 0.33 0 0.5 2012 1 0
0.89 0.4 0.83 1 0.5 1 2012 0 1
1 0.5 0.83 0.67 0.5 0.5 2012 1 1
0.78 0.4 0.83 0.67 0 0.5 2012 1 0
0.44 0 0 0 0 0 2012 1 0
0.89 0.2 1 0.33 0.5 1 2012 1 0
0.89 0.5 1 0.67 0.5 1 2012 0 1
0.89 0.3 1 0.67 0 0.5 2012 1 1
0.44 0 0 0 0 0 2012 1 1
1 0.5 0.83 1 0 1 2012 1 1
0.89 0.6 0.83 0.33 0 1 2012 0 0
0.67 0.3 0.83 0 0.5 0.5 2012 1 1
0.33 0 0 0 0 0 2012 1 1
0.78 0.3 0.67 0 0.5 0 2012 0 1
0.89 0.5 1 0.67 0.5 1 2012 1 0
0.78 0.4 0.67 0 0 1 2012 0 0
0.78 0.5 0.83 0.67 0 0.5 2012 0 1
0.89 0.7 1 1 1 0.5 2012 0 0
0.78 0.8 1 0.67 0.5 1 2012 0 1
0.78 0.6 1 0.33 0.5 1 2012 0 1
0.67 0.4 0.83 0.33 0 0.5 2012 1 0
0.89 0.5 0.83 0.33 0.5 0 2012 1 1
0.89 0.5 1 0 0.5 1 2012 1 0
0.78 0.3 1 0.33 0 1 2012 1 1
1 0.6 1 0 0.5 1 2012 1 1
1 0.3 0.67 0.67 0 0.5 2012 1 0
0.78 0.6 0.83 1 0.5 0.5 2012 0 1
0.78 0.3 0.33 0.33 0 1 2012 0 0
0.89 0.7 1 0.67 1 1 2012 1 1
0.89 0.7 1 1 0 1 2012 0 0
0.67 0.6 0.67 1 0.5 1 2012 0 1
1 0.5 1 0.33 0.5 0 2012 1 0
0.67 0.5 0.83 0.33 0 0.5 2012 0 0
0.56 0.4 0.67 0 0 1 2012 0 1
0.78 0.4 1 0.33 1 1 2012 0 1
1 0.7 1 1 0 1 2012 0 0
0.67 0.2 0.17 0 0.5 0 2012 0 1
0.78 0.5 0.83 0.67 0 0.5 2012 0 1
0.56 0.4 0.83 0.67 0.5 0 2012 0 0
1 0.2 1 0.67 1 1 2012 0 1
0.89 0.5 0.67 0.67 0 0 2012 0 0
0.44 0.4 0.5 0 0 1 2012 0 0
1 0.7 0.67 1 1 1 2012 0 1
0.89 0.6 0.83 0.67 1 0 2012 0 1
0.78 0.4 0.83 0 0 0 2012 0 0
0.89 0.5 1 0.67 1 1 2012 0 1
0.11 0 0.17 0 0 0 2012 0 0
0.89 0.7 1 0.67 0.5 1 2012 0 0
0.89 0.4 0.67 0.67 0 1 2012 0 1
1 0.5 0.67 1 0 1 2012 1 0
0.89 0.6 0.83 0.67 0 0.5 2012 0 0
1 0.8 0.5 0.67 0.5 0.5 2012 0 1

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time10 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 10 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=272410&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=272410&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=272410&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time10 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Multiple Linear Regression - Estimated Regression Equation
Calculation[t] = + 55.7102 + 0.226747Algebraic_Reasoning[t] + 0.171658Graphical_Interpretation[t] + 0.0910661Proportionality_and_Ratio[t] + 0.00351957Probability_and_Sampling[t] + 0.0750484Estimation[t] -0.0274763year[t] + 0.0348926group[t] + 0.031216gender[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Calculation[t] =  +  55.7102 +  0.226747Algebraic_Reasoning[t] +  0.171658Graphical_Interpretation[t] +  0.0910661Proportionality_and_Ratio[t] +  0.00351957Probability_and_Sampling[t] +  0.0750484Estimation[t] -0.0274763year[t] +  0.0348926group[t] +  0.031216gender[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=272410&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Calculation[t] =  +  55.7102 +  0.226747Algebraic_Reasoning[t] +  0.171658Graphical_Interpretation[t] +  0.0910661Proportionality_and_Ratio[t] +  0.00351957Probability_and_Sampling[t] +  0.0750484Estimation[t] -0.0274763year[t] +  0.0348926group[t] +  0.031216gender[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=272410&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=272410&T=1

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


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

Multiple Linear Regression - Estimated Regression Equation
Calculation[t] = + 55.7102 + 0.226747Algebraic_Reasoning[t] + 0.171658Graphical_Interpretation[t] + 0.0910661Proportionality_and_Ratio[t] + 0.00351957Probability_and_Sampling[t] + 0.0750484Estimation[t] -0.0274763year[t] + 0.0348926group[t] + 0.031216gender[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)55.710237.08181.5020.1341770.0670886
Algebraic_Reasoning0.2267470.0554294.0915.68587e-052.84293e-05
Graphical_Interpretation0.1716580.04352723.9440.0001024115.12056e-05
Proportionality_and_Ratio0.09106610.02749913.3120.00105460.000527298
Probability_and_Sampling0.003519570.02679310.13140.8955880.447794
Estimation0.07504840.02437263.0790.002290290.00114514
year-0.02747630.0184352-1.490.1372830.0686415
group0.03489260.01833811.9030.05814260.0290713
gender0.0312160.01909861.6340.1033310.0516653

\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) & 55.7102 & 37.0818 & 1.502 & 0.134177 & 0.0670886 \tabularnewline
Algebraic_Reasoning & 0.226747 & 0.055429 & 4.091 & 5.68587e-05 & 2.84293e-05 \tabularnewline
Graphical_Interpretation & 0.171658 & 0.0435272 & 3.944 & 0.000102411 & 5.12056e-05 \tabularnewline
Proportionality_and_Ratio & 0.0910661 & 0.0274991 & 3.312 & 0.0010546 & 0.000527298 \tabularnewline
Probability_and_Sampling & 0.00351957 & 0.0267931 & 0.1314 & 0.895588 & 0.447794 \tabularnewline
Estimation & 0.0750484 & 0.0243726 & 3.079 & 0.00229029 & 0.00114514 \tabularnewline
year & -0.0274763 & 0.0184352 & -1.49 & 0.137283 & 0.0686415 \tabularnewline
group & 0.0348926 & 0.0183381 & 1.903 & 0.0581426 & 0.0290713 \tabularnewline
gender & 0.031216 & 0.0190986 & 1.634 & 0.103331 & 0.0516653 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=272410&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]55.7102[/C][C]37.0818[/C][C]1.502[/C][C]0.134177[/C][C]0.0670886[/C][/ROW]
[ROW][C]Algebraic_Reasoning[/C][C]0.226747[/C][C]0.055429[/C][C]4.091[/C][C]5.68587e-05[/C][C]2.84293e-05[/C][/ROW]
[ROW][C]Graphical_Interpretation[/C][C]0.171658[/C][C]0.0435272[/C][C]3.944[/C][C]0.000102411[/C][C]5.12056e-05[/C][/ROW]
[ROW][C]Proportionality_and_Ratio[/C][C]0.0910661[/C][C]0.0274991[/C][C]3.312[/C][C]0.0010546[/C][C]0.000527298[/C][/ROW]
[ROW][C]Probability_and_Sampling[/C][C]0.00351957[/C][C]0.0267931[/C][C]0.1314[/C][C]0.895588[/C][C]0.447794[/C][/ROW]
[ROW][C]Estimation[/C][C]0.0750484[/C][C]0.0243726[/C][C]3.079[/C][C]0.00229029[/C][C]0.00114514[/C][/ROW]
[ROW][C]year[/C][C]-0.0274763[/C][C]0.0184352[/C][C]-1.49[/C][C]0.137283[/C][C]0.0686415[/C][/ROW]
[ROW][C]group[/C][C]0.0348926[/C][C]0.0183381[/C][C]1.903[/C][C]0.0581426[/C][C]0.0290713[/C][/ROW]
[ROW][C]gender[/C][C]0.031216[/C][C]0.0190986[/C][C]1.634[/C][C]0.103331[/C][C]0.0516653[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=272410&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=272410&T=2

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


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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)55.710237.08181.5020.1341770.0670886
Algebraic_Reasoning0.2267470.0554294.0915.68587e-052.84293e-05
Graphical_Interpretation0.1716580.04352723.9440.0001024115.12056e-05
Proportionality_and_Ratio0.09106610.02749913.3120.00105460.000527298
Probability_and_Sampling0.003519570.02679310.13140.8955880.447794
Estimation0.07504840.02437263.0790.002290290.00114514
year-0.02747630.0184352-1.490.1372830.0686415
group0.03489260.01833811.9030.05814260.0290713
gender0.0312160.01909861.6340.1033310.0516653






Multiple Linear Regression - Regression Statistics
Multiple R0.588098
R-squared0.345859
Adjusted R-squared0.326405
F-TEST (value)17.7783
F-TEST (DF numerator)8
F-TEST (DF denominator)269
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.147941
Sum Squared Residuals5.88748

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.588098 \tabularnewline
R-squared & 0.345859 \tabularnewline
Adjusted R-squared & 0.326405 \tabularnewline
F-TEST (value) & 17.7783 \tabularnewline
F-TEST (DF numerator) & 8 \tabularnewline
F-TEST (DF denominator) & 269 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 0.147941 \tabularnewline
Sum Squared Residuals & 5.88748 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=272410&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.588098[/C][/ROW]
[ROW][C]R-squared[/C][C]0.345859[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.326405[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]17.7783[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]8[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]269[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]0.147941[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]5.88748[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=272410&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=272410&T=3

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


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

Multiple Linear Regression - Regression Statistics
Multiple R0.588098
R-squared0.345859
Adjusted R-squared0.326405
F-TEST (value)17.7783
F-TEST (DF numerator)8
F-TEST (DF denominator)269
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.147941
Sum Squared Residuals5.88748






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
110.8171310.182869
20.890.8841340.00586587
30.890.8886280.00137207
40.890.7772740.112726
50.890.8737260.0162737
60.780.6287330.151267
70.890.7861580.103842
810.8375350.162465
90.890.8243830.0656166
100.780.814418-0.0344184
1110.8718920.128108
120.780.7210690.0589312
130.890.8230650.0669348
140.890.8027990.0872008
150.890.7486450.141355
160.890.6510610.238939
170.890.8239350.0660648
180.670.870802-0.200802
1910.8200170.179983
200.780.7256170.0543828
210.780.7738160.00618377
220.890.934231-0.0442308
230.780.873833-0.0938331
240.890.814350.0756498
250.890.916339-0.0263392
260.330.681785-0.351785
2710.9935570.00644336
280.890.7870290.102971
290.890.949896-0.0598957
300.670.776573-0.106573
310.560.801018-0.241018
320.890.7727260.117274
330.890.952104-0.0621036
3410.7803230.219677
350.780.957721-0.177721
360.780.891457-0.111457
370.330.674114-0.344114
380.780.6486520.131348
390.890.8775720.0124276
400.890.958412-0.0684119
410.780.929429-0.149429
420.890.921604-0.0316037
430.890.935991-0.0459906
4410.9498960.0501043
450.670.833095-0.163095
4610.8463560.153644
470.890.7276510.162349
480.890.773840.11616
490.890.7078130.182187
500.780.955605-0.175605
510.890.8509470.0390533
520.780.7637380.0162619
530.780.821367-0.0413671
5410.8090880.190912
550.780.785541-0.00554102
5610.9687130.0312871
570.780.854605-0.0746054
580.670.706295-0.0362949
590.330.587365-0.257365
6011.00008-8.46326e-05
6110.9765380.0234619
620.780.89089-0.11089
630.670.897765-0.227765
6410.8077890.192211
650.890.7727260.117274
660.890.8404720.0495281
670.780.788391-0.0083913
6810.8226380.177362
690.560.81996-0.25996
700.670.779631-0.109631
710.890.920942-0.0309423
720.890.7944570.0955432
730.890.8031760.0868239
740.890.8802040.009796
750.780.6732440.106756
7610.6393140.360686
7710.8653550.134645
780.890.8201410.0698587
790.440.665816-0.225816
800.780.923866-0.143866
810.890.7858130.104187
820.670.6091690.0608308
830.780.848988-0.068988
840.780.853989-0.0739888
850.330.641002-0.311002
860.890.8844890.00551124
870.890.7162280.173772
880.890.8546050.0353946
890.890.863320.0266796
900.560.808889-0.248889
910.670.865355-0.195355
920.670.855749-0.185749
930.780.840105-0.0601046
940.780.847207-0.0672073
950.780.81743-0.0374299
960.890.7814230.108577
9710.9172660.0827343
980.890.844440.0455604
990.890.902879-0.0128787
1000.780.857529-0.0775293
10110.8073890.192611
1020.780.794406-0.0144065
1030.670.5318820.138118
1040.780.7572310.022769
1050.890.8090880.0809125
1060.670.5542820.115718
1070.220.576957-0.356957
1080.440.745585-0.305585
1090.890.7452320.144768
1100.670.777872-0.107872
1110.890.7595640.130436
1120.670.85577-0.18577
1130.780.880222-0.100222
1140.780.873212-0.0932124
1150.780.8274-0.0474005
11610.9032640.0967357
1170.780.995879-0.215879
1180.670.758936-0.0889365
1190.890.985696-0.0956963
1200.890.8419960.0480035
12110.8858610.114139
1220.780.7626130.0173869
1230.670.809295-0.139295
1240.890.915912-0.0259123
1250.670.869693-0.199693
1260.670.752032-0.0820316
12710.8021710.197829
1280.670.771154-0.101154
12910.8360980.163902
1300.890.912055-0.0220548
1310.890.925939-0.035939
13210.7250890.274911
1330.670.854843-0.184843
1340.440.814806-0.374806
1350.890.7445270.145473
1360.560.885861-0.325861
1370.780.895887-0.115887
13810.8173190.182681
13910.831970.16803
1400.890.7772810.112719
1410.670.794289-0.124289
1420.890.8178150.0721845
1430.330.493949-0.163949
1440.890.894127-0.00412737
1450.780.849006-0.0690063
14610.766980.23302
1470.440.793829-0.353829
1480.670.697667-0.027667
1490.330.539024-0.209024
1500.890.896757-0.0067572
1510.890.7107570.179243
15210.8370060.162994
1530.890.938587-0.048587
1540.890.7709560.119044
15510.8461450.153855
1560.890.7690390.120961
15710.9712880.0287116
1580.780.879079-0.099079
1590.780.941392-0.161392
1600.670.723789-0.0537887
1610.890.948769-0.0587695
1620.670.88102-0.21102
1630.780.786973-0.00697331
1640.890.8583630.031637
1650.890.89033-0.000330365
1660.780.830032-0.0500321
16710.9187180.0812824
16810.8535220.146478
16910.766060.23394
1700.670.850694-0.180694
1710.890.951693-0.0616934
17210.7285910.271409
17310.9502870.0497135
1740.890.918562-0.0285619
1750.890.918562-0.0285619
1760.890.8038380.0861622
1770.890.8113080.0786916
1780.890.6916340.198366
17910.7341010.265899
1800.670.852864-0.182864
18110.7940470.205953
1820.890.6901960.199804
1830.890.917155-0.027155
1840.890.6946180.195382
1850.890.6983370.191663
18610.8676880.132312
18710.8676880.132312
18810.8676880.132312
1890.890.8676880.022312
1900.890.7327890.157211
1910.890.927259-0.0372589
1920.330.628553-0.298553
1930.670.757238-0.0872383
1940.560.657611-0.0976113
1950.440.77394-0.33394
19610.9817450.0182548
1970.890.8851240.00487641
1980.330.457022-0.127022
1990.670.715975-0.0459748
2000.670.813224-0.143224
20110.8858610.114139
2020.780.857012-0.0770125
2030.670.750041-0.0800406
20410.7285360.271464
2050.780.854843-0.0748434
2060.890.8271290.0628709
2070.890.7341470.155853
2080.890.880150.00985031
20900.42784-0.42784
2100.670.753224-0.0832239
21110.8396380.160362
21210.8631650.136835
2130.670.6188620.0511376
2140.890.7133880.176612
2150.890.899994-0.00999397
2160.560.666203-0.106203
2170.670.746717-0.0767169
21810.8440310.155969
21910.8479370.152063
22010.9696840.0303156
2210.670.772715-0.102715
2220.440.706806-0.266806
2230.891.00926-0.119261
2240.440.780739-0.340739
2250.560.832764-0.272764
2260.890.8049020.0850975
2270.670.747316-0.0773155
2280.890.8601050.0298952
22910.8500960.149904
2300.780.794446-0.0144457
2310.440.462733-0.0227326
2320.890.7865990.103401
2330.890.8819090.00809052
2340.890.8321690.0578313
2350.440.493949-0.0539485
23610.9159120.0840877
2370.890.8114640.0785358
2380.670.743732-0.0737324
2390.330.493949-0.163949
2400.780.643850.13615
2410.890.8855860.00441388
2420.780.7085980.0714023
2430.780.813444-0.0334437
2440.890.89033-0.000330365
2450.780.949934-0.169934
2460.780.873622-0.0936217
2470.670.763483-0.0934832
2480.890.7816090.108391
2490.890.8245720.0654282
2500.780.83873-0.0587304
25110.8784620.121538
25210.7443060.255694
2530.780.86793-0.0879301
2540.780.6576110.122389
2550.890.963911-0.0739113
2560.890.924335-0.034335
2570.670.877989-0.207989
25810.7795750.220425
2590.670.751265-0.0812653
2600.560.739814-0.179814
2610.780.830032-0.0500321
26210.9243350.075665
2630.670.5353470.134653
2640.780.813444-0.0334437
2650.560.723789-0.163789
26610.8156450.184355
2670.890.7172380.172762
2680.440.679416-0.239416
26910.9024240.0975765
2700.890.8021140.0878862
2710.780.6610150.118985
2720.890.8836690.00633074
2730.110.457022-0.347022
2740.890.896043-0.00604293
2750.890.8008280.089172
27610.8572310.142769
2770.890.8049020.0850975
27810.8265810.173419

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 1 & 0.817131 & 0.182869 \tabularnewline
2 & 0.89 & 0.884134 & 0.00586587 \tabularnewline
3 & 0.89 & 0.888628 & 0.00137207 \tabularnewline
4 & 0.89 & 0.777274 & 0.112726 \tabularnewline
5 & 0.89 & 0.873726 & 0.0162737 \tabularnewline
6 & 0.78 & 0.628733 & 0.151267 \tabularnewline
7 & 0.89 & 0.786158 & 0.103842 \tabularnewline
8 & 1 & 0.837535 & 0.162465 \tabularnewline
9 & 0.89 & 0.824383 & 0.0656166 \tabularnewline
10 & 0.78 & 0.814418 & -0.0344184 \tabularnewline
11 & 1 & 0.871892 & 0.128108 \tabularnewline
12 & 0.78 & 0.721069 & 0.0589312 \tabularnewline
13 & 0.89 & 0.823065 & 0.0669348 \tabularnewline
14 & 0.89 & 0.802799 & 0.0872008 \tabularnewline
15 & 0.89 & 0.748645 & 0.141355 \tabularnewline
16 & 0.89 & 0.651061 & 0.238939 \tabularnewline
17 & 0.89 & 0.823935 & 0.0660648 \tabularnewline
18 & 0.67 & 0.870802 & -0.200802 \tabularnewline
19 & 1 & 0.820017 & 0.179983 \tabularnewline
20 & 0.78 & 0.725617 & 0.0543828 \tabularnewline
21 & 0.78 & 0.773816 & 0.00618377 \tabularnewline
22 & 0.89 & 0.934231 & -0.0442308 \tabularnewline
23 & 0.78 & 0.873833 & -0.0938331 \tabularnewline
24 & 0.89 & 0.81435 & 0.0756498 \tabularnewline
25 & 0.89 & 0.916339 & -0.0263392 \tabularnewline
26 & 0.33 & 0.681785 & -0.351785 \tabularnewline
27 & 1 & 0.993557 & 0.00644336 \tabularnewline
28 & 0.89 & 0.787029 & 0.102971 \tabularnewline
29 & 0.89 & 0.949896 & -0.0598957 \tabularnewline
30 & 0.67 & 0.776573 & -0.106573 \tabularnewline
31 & 0.56 & 0.801018 & -0.241018 \tabularnewline
32 & 0.89 & 0.772726 & 0.117274 \tabularnewline
33 & 0.89 & 0.952104 & -0.0621036 \tabularnewline
34 & 1 & 0.780323 & 0.219677 \tabularnewline
35 & 0.78 & 0.957721 & -0.177721 \tabularnewline
36 & 0.78 & 0.891457 & -0.111457 \tabularnewline
37 & 0.33 & 0.674114 & -0.344114 \tabularnewline
38 & 0.78 & 0.648652 & 0.131348 \tabularnewline
39 & 0.89 & 0.877572 & 0.0124276 \tabularnewline
40 & 0.89 & 0.958412 & -0.0684119 \tabularnewline
41 & 0.78 & 0.929429 & -0.149429 \tabularnewline
42 & 0.89 & 0.921604 & -0.0316037 \tabularnewline
43 & 0.89 & 0.935991 & -0.0459906 \tabularnewline
44 & 1 & 0.949896 & 0.0501043 \tabularnewline
45 & 0.67 & 0.833095 & -0.163095 \tabularnewline
46 & 1 & 0.846356 & 0.153644 \tabularnewline
47 & 0.89 & 0.727651 & 0.162349 \tabularnewline
48 & 0.89 & 0.77384 & 0.11616 \tabularnewline
49 & 0.89 & 0.707813 & 0.182187 \tabularnewline
50 & 0.78 & 0.955605 & -0.175605 \tabularnewline
51 & 0.89 & 0.850947 & 0.0390533 \tabularnewline
52 & 0.78 & 0.763738 & 0.0162619 \tabularnewline
53 & 0.78 & 0.821367 & -0.0413671 \tabularnewline
54 & 1 & 0.809088 & 0.190912 \tabularnewline
55 & 0.78 & 0.785541 & -0.00554102 \tabularnewline
56 & 1 & 0.968713 & 0.0312871 \tabularnewline
57 & 0.78 & 0.854605 & -0.0746054 \tabularnewline
58 & 0.67 & 0.706295 & -0.0362949 \tabularnewline
59 & 0.33 & 0.587365 & -0.257365 \tabularnewline
60 & 1 & 1.00008 & -8.46326e-05 \tabularnewline
61 & 1 & 0.976538 & 0.0234619 \tabularnewline
62 & 0.78 & 0.89089 & -0.11089 \tabularnewline
63 & 0.67 & 0.897765 & -0.227765 \tabularnewline
64 & 1 & 0.807789 & 0.192211 \tabularnewline
65 & 0.89 & 0.772726 & 0.117274 \tabularnewline
66 & 0.89 & 0.840472 & 0.0495281 \tabularnewline
67 & 0.78 & 0.788391 & -0.0083913 \tabularnewline
68 & 1 & 0.822638 & 0.177362 \tabularnewline
69 & 0.56 & 0.81996 & -0.25996 \tabularnewline
70 & 0.67 & 0.779631 & -0.109631 \tabularnewline
71 & 0.89 & 0.920942 & -0.0309423 \tabularnewline
72 & 0.89 & 0.794457 & 0.0955432 \tabularnewline
73 & 0.89 & 0.803176 & 0.0868239 \tabularnewline
74 & 0.89 & 0.880204 & 0.009796 \tabularnewline
75 & 0.78 & 0.673244 & 0.106756 \tabularnewline
76 & 1 & 0.639314 & 0.360686 \tabularnewline
77 & 1 & 0.865355 & 0.134645 \tabularnewline
78 & 0.89 & 0.820141 & 0.0698587 \tabularnewline
79 & 0.44 & 0.665816 & -0.225816 \tabularnewline
80 & 0.78 & 0.923866 & -0.143866 \tabularnewline
81 & 0.89 & 0.785813 & 0.104187 \tabularnewline
82 & 0.67 & 0.609169 & 0.0608308 \tabularnewline
83 & 0.78 & 0.848988 & -0.068988 \tabularnewline
84 & 0.78 & 0.853989 & -0.0739888 \tabularnewline
85 & 0.33 & 0.641002 & -0.311002 \tabularnewline
86 & 0.89 & 0.884489 & 0.00551124 \tabularnewline
87 & 0.89 & 0.716228 & 0.173772 \tabularnewline
88 & 0.89 & 0.854605 & 0.0353946 \tabularnewline
89 & 0.89 & 0.86332 & 0.0266796 \tabularnewline
90 & 0.56 & 0.808889 & -0.248889 \tabularnewline
91 & 0.67 & 0.865355 & -0.195355 \tabularnewline
92 & 0.67 & 0.855749 & -0.185749 \tabularnewline
93 & 0.78 & 0.840105 & -0.0601046 \tabularnewline
94 & 0.78 & 0.847207 & -0.0672073 \tabularnewline
95 & 0.78 & 0.81743 & -0.0374299 \tabularnewline
96 & 0.89 & 0.781423 & 0.108577 \tabularnewline
97 & 1 & 0.917266 & 0.0827343 \tabularnewline
98 & 0.89 & 0.84444 & 0.0455604 \tabularnewline
99 & 0.89 & 0.902879 & -0.0128787 \tabularnewline
100 & 0.78 & 0.857529 & -0.0775293 \tabularnewline
101 & 1 & 0.807389 & 0.192611 \tabularnewline
102 & 0.78 & 0.794406 & -0.0144065 \tabularnewline
103 & 0.67 & 0.531882 & 0.138118 \tabularnewline
104 & 0.78 & 0.757231 & 0.022769 \tabularnewline
105 & 0.89 & 0.809088 & 0.0809125 \tabularnewline
106 & 0.67 & 0.554282 & 0.115718 \tabularnewline
107 & 0.22 & 0.576957 & -0.356957 \tabularnewline
108 & 0.44 & 0.745585 & -0.305585 \tabularnewline
109 & 0.89 & 0.745232 & 0.144768 \tabularnewline
110 & 0.67 & 0.777872 & -0.107872 \tabularnewline
111 & 0.89 & 0.759564 & 0.130436 \tabularnewline
112 & 0.67 & 0.85577 & -0.18577 \tabularnewline
113 & 0.78 & 0.880222 & -0.100222 \tabularnewline
114 & 0.78 & 0.873212 & -0.0932124 \tabularnewline
115 & 0.78 & 0.8274 & -0.0474005 \tabularnewline
116 & 1 & 0.903264 & 0.0967357 \tabularnewline
117 & 0.78 & 0.995879 & -0.215879 \tabularnewline
118 & 0.67 & 0.758936 & -0.0889365 \tabularnewline
119 & 0.89 & 0.985696 & -0.0956963 \tabularnewline
120 & 0.89 & 0.841996 & 0.0480035 \tabularnewline
121 & 1 & 0.885861 & 0.114139 \tabularnewline
122 & 0.78 & 0.762613 & 0.0173869 \tabularnewline
123 & 0.67 & 0.809295 & -0.139295 \tabularnewline
124 & 0.89 & 0.915912 & -0.0259123 \tabularnewline
125 & 0.67 & 0.869693 & -0.199693 \tabularnewline
126 & 0.67 & 0.752032 & -0.0820316 \tabularnewline
127 & 1 & 0.802171 & 0.197829 \tabularnewline
128 & 0.67 & 0.771154 & -0.101154 \tabularnewline
129 & 1 & 0.836098 & 0.163902 \tabularnewline
130 & 0.89 & 0.912055 & -0.0220548 \tabularnewline
131 & 0.89 & 0.925939 & -0.035939 \tabularnewline
132 & 1 & 0.725089 & 0.274911 \tabularnewline
133 & 0.67 & 0.854843 & -0.184843 \tabularnewline
134 & 0.44 & 0.814806 & -0.374806 \tabularnewline
135 & 0.89 & 0.744527 & 0.145473 \tabularnewline
136 & 0.56 & 0.885861 & -0.325861 \tabularnewline
137 & 0.78 & 0.895887 & -0.115887 \tabularnewline
138 & 1 & 0.817319 & 0.182681 \tabularnewline
139 & 1 & 0.83197 & 0.16803 \tabularnewline
140 & 0.89 & 0.777281 & 0.112719 \tabularnewline
141 & 0.67 & 0.794289 & -0.124289 \tabularnewline
142 & 0.89 & 0.817815 & 0.0721845 \tabularnewline
143 & 0.33 & 0.493949 & -0.163949 \tabularnewline
144 & 0.89 & 0.894127 & -0.00412737 \tabularnewline
145 & 0.78 & 0.849006 & -0.0690063 \tabularnewline
146 & 1 & 0.76698 & 0.23302 \tabularnewline
147 & 0.44 & 0.793829 & -0.353829 \tabularnewline
148 & 0.67 & 0.697667 & -0.027667 \tabularnewline
149 & 0.33 & 0.539024 & -0.209024 \tabularnewline
150 & 0.89 & 0.896757 & -0.0067572 \tabularnewline
151 & 0.89 & 0.710757 & 0.179243 \tabularnewline
152 & 1 & 0.837006 & 0.162994 \tabularnewline
153 & 0.89 & 0.938587 & -0.048587 \tabularnewline
154 & 0.89 & 0.770956 & 0.119044 \tabularnewline
155 & 1 & 0.846145 & 0.153855 \tabularnewline
156 & 0.89 & 0.769039 & 0.120961 \tabularnewline
157 & 1 & 0.971288 & 0.0287116 \tabularnewline
158 & 0.78 & 0.879079 & -0.099079 \tabularnewline
159 & 0.78 & 0.941392 & -0.161392 \tabularnewline
160 & 0.67 & 0.723789 & -0.0537887 \tabularnewline
161 & 0.89 & 0.948769 & -0.0587695 \tabularnewline
162 & 0.67 & 0.88102 & -0.21102 \tabularnewline
163 & 0.78 & 0.786973 & -0.00697331 \tabularnewline
164 & 0.89 & 0.858363 & 0.031637 \tabularnewline
165 & 0.89 & 0.89033 & -0.000330365 \tabularnewline
166 & 0.78 & 0.830032 & -0.0500321 \tabularnewline
167 & 1 & 0.918718 & 0.0812824 \tabularnewline
168 & 1 & 0.853522 & 0.146478 \tabularnewline
169 & 1 & 0.76606 & 0.23394 \tabularnewline
170 & 0.67 & 0.850694 & -0.180694 \tabularnewline
171 & 0.89 & 0.951693 & -0.0616934 \tabularnewline
172 & 1 & 0.728591 & 0.271409 \tabularnewline
173 & 1 & 0.950287 & 0.0497135 \tabularnewline
174 & 0.89 & 0.918562 & -0.0285619 \tabularnewline
175 & 0.89 & 0.918562 & -0.0285619 \tabularnewline
176 & 0.89 & 0.803838 & 0.0861622 \tabularnewline
177 & 0.89 & 0.811308 & 0.0786916 \tabularnewline
178 & 0.89 & 0.691634 & 0.198366 \tabularnewline
179 & 1 & 0.734101 & 0.265899 \tabularnewline
180 & 0.67 & 0.852864 & -0.182864 \tabularnewline
181 & 1 & 0.794047 & 0.205953 \tabularnewline
182 & 0.89 & 0.690196 & 0.199804 \tabularnewline
183 & 0.89 & 0.917155 & -0.027155 \tabularnewline
184 & 0.89 & 0.694618 & 0.195382 \tabularnewline
185 & 0.89 & 0.698337 & 0.191663 \tabularnewline
186 & 1 & 0.867688 & 0.132312 \tabularnewline
187 & 1 & 0.867688 & 0.132312 \tabularnewline
188 & 1 & 0.867688 & 0.132312 \tabularnewline
189 & 0.89 & 0.867688 & 0.022312 \tabularnewline
190 & 0.89 & 0.732789 & 0.157211 \tabularnewline
191 & 0.89 & 0.927259 & -0.0372589 \tabularnewline
192 & 0.33 & 0.628553 & -0.298553 \tabularnewline
193 & 0.67 & 0.757238 & -0.0872383 \tabularnewline
194 & 0.56 & 0.657611 & -0.0976113 \tabularnewline
195 & 0.44 & 0.77394 & -0.33394 \tabularnewline
196 & 1 & 0.981745 & 0.0182548 \tabularnewline
197 & 0.89 & 0.885124 & 0.00487641 \tabularnewline
198 & 0.33 & 0.457022 & -0.127022 \tabularnewline
199 & 0.67 & 0.715975 & -0.0459748 \tabularnewline
200 & 0.67 & 0.813224 & -0.143224 \tabularnewline
201 & 1 & 0.885861 & 0.114139 \tabularnewline
202 & 0.78 & 0.857012 & -0.0770125 \tabularnewline
203 & 0.67 & 0.750041 & -0.0800406 \tabularnewline
204 & 1 & 0.728536 & 0.271464 \tabularnewline
205 & 0.78 & 0.854843 & -0.0748434 \tabularnewline
206 & 0.89 & 0.827129 & 0.0628709 \tabularnewline
207 & 0.89 & 0.734147 & 0.155853 \tabularnewline
208 & 0.89 & 0.88015 & 0.00985031 \tabularnewline
209 & 0 & 0.42784 & -0.42784 \tabularnewline
210 & 0.67 & 0.753224 & -0.0832239 \tabularnewline
211 & 1 & 0.839638 & 0.160362 \tabularnewline
212 & 1 & 0.863165 & 0.136835 \tabularnewline
213 & 0.67 & 0.618862 & 0.0511376 \tabularnewline
214 & 0.89 & 0.713388 & 0.176612 \tabularnewline
215 & 0.89 & 0.899994 & -0.00999397 \tabularnewline
216 & 0.56 & 0.666203 & -0.106203 \tabularnewline
217 & 0.67 & 0.746717 & -0.0767169 \tabularnewline
218 & 1 & 0.844031 & 0.155969 \tabularnewline
219 & 1 & 0.847937 & 0.152063 \tabularnewline
220 & 1 & 0.969684 & 0.0303156 \tabularnewline
221 & 0.67 & 0.772715 & -0.102715 \tabularnewline
222 & 0.44 & 0.706806 & -0.266806 \tabularnewline
223 & 0.89 & 1.00926 & -0.119261 \tabularnewline
224 & 0.44 & 0.780739 & -0.340739 \tabularnewline
225 & 0.56 & 0.832764 & -0.272764 \tabularnewline
226 & 0.89 & 0.804902 & 0.0850975 \tabularnewline
227 & 0.67 & 0.747316 & -0.0773155 \tabularnewline
228 & 0.89 & 0.860105 & 0.0298952 \tabularnewline
229 & 1 & 0.850096 & 0.149904 \tabularnewline
230 & 0.78 & 0.794446 & -0.0144457 \tabularnewline
231 & 0.44 & 0.462733 & -0.0227326 \tabularnewline
232 & 0.89 & 0.786599 & 0.103401 \tabularnewline
233 & 0.89 & 0.881909 & 0.00809052 \tabularnewline
234 & 0.89 & 0.832169 & 0.0578313 \tabularnewline
235 & 0.44 & 0.493949 & -0.0539485 \tabularnewline
236 & 1 & 0.915912 & 0.0840877 \tabularnewline
237 & 0.89 & 0.811464 & 0.0785358 \tabularnewline
238 & 0.67 & 0.743732 & -0.0737324 \tabularnewline
239 & 0.33 & 0.493949 & -0.163949 \tabularnewline
240 & 0.78 & 0.64385 & 0.13615 \tabularnewline
241 & 0.89 & 0.885586 & 0.00441388 \tabularnewline
242 & 0.78 & 0.708598 & 0.0714023 \tabularnewline
243 & 0.78 & 0.813444 & -0.0334437 \tabularnewline
244 & 0.89 & 0.89033 & -0.000330365 \tabularnewline
245 & 0.78 & 0.949934 & -0.169934 \tabularnewline
246 & 0.78 & 0.873622 & -0.0936217 \tabularnewline
247 & 0.67 & 0.763483 & -0.0934832 \tabularnewline
248 & 0.89 & 0.781609 & 0.108391 \tabularnewline
249 & 0.89 & 0.824572 & 0.0654282 \tabularnewline
250 & 0.78 & 0.83873 & -0.0587304 \tabularnewline
251 & 1 & 0.878462 & 0.121538 \tabularnewline
252 & 1 & 0.744306 & 0.255694 \tabularnewline
253 & 0.78 & 0.86793 & -0.0879301 \tabularnewline
254 & 0.78 & 0.657611 & 0.122389 \tabularnewline
255 & 0.89 & 0.963911 & -0.0739113 \tabularnewline
256 & 0.89 & 0.924335 & -0.034335 \tabularnewline
257 & 0.67 & 0.877989 & -0.207989 \tabularnewline
258 & 1 & 0.779575 & 0.220425 \tabularnewline
259 & 0.67 & 0.751265 & -0.0812653 \tabularnewline
260 & 0.56 & 0.739814 & -0.179814 \tabularnewline
261 & 0.78 & 0.830032 & -0.0500321 \tabularnewline
262 & 1 & 0.924335 & 0.075665 \tabularnewline
263 & 0.67 & 0.535347 & 0.134653 \tabularnewline
264 & 0.78 & 0.813444 & -0.0334437 \tabularnewline
265 & 0.56 & 0.723789 & -0.163789 \tabularnewline
266 & 1 & 0.815645 & 0.184355 \tabularnewline
267 & 0.89 & 0.717238 & 0.172762 \tabularnewline
268 & 0.44 & 0.679416 & -0.239416 \tabularnewline
269 & 1 & 0.902424 & 0.0975765 \tabularnewline
270 & 0.89 & 0.802114 & 0.0878862 \tabularnewline
271 & 0.78 & 0.661015 & 0.118985 \tabularnewline
272 & 0.89 & 0.883669 & 0.00633074 \tabularnewline
273 & 0.11 & 0.457022 & -0.347022 \tabularnewline
274 & 0.89 & 0.896043 & -0.00604293 \tabularnewline
275 & 0.89 & 0.800828 & 0.089172 \tabularnewline
276 & 1 & 0.857231 & 0.142769 \tabularnewline
277 & 0.89 & 0.804902 & 0.0850975 \tabularnewline
278 & 1 & 0.826581 & 0.173419 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=272410&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]0.817131[/C][C]0.182869[/C][/ROW]
[ROW][C]2[/C][C]0.89[/C][C]0.884134[/C][C]0.00586587[/C][/ROW]
[ROW][C]3[/C][C]0.89[/C][C]0.888628[/C][C]0.00137207[/C][/ROW]
[ROW][C]4[/C][C]0.89[/C][C]0.777274[/C][C]0.112726[/C][/ROW]
[ROW][C]5[/C][C]0.89[/C][C]0.873726[/C][C]0.0162737[/C][/ROW]
[ROW][C]6[/C][C]0.78[/C][C]0.628733[/C][C]0.151267[/C][/ROW]
[ROW][C]7[/C][C]0.89[/C][C]0.786158[/C][C]0.103842[/C][/ROW]
[ROW][C]8[/C][C]1[/C][C]0.837535[/C][C]0.162465[/C][/ROW]
[ROW][C]9[/C][C]0.89[/C][C]0.824383[/C][C]0.0656166[/C][/ROW]
[ROW][C]10[/C][C]0.78[/C][C]0.814418[/C][C]-0.0344184[/C][/ROW]
[ROW][C]11[/C][C]1[/C][C]0.871892[/C][C]0.128108[/C][/ROW]
[ROW][C]12[/C][C]0.78[/C][C]0.721069[/C][C]0.0589312[/C][/ROW]
[ROW][C]13[/C][C]0.89[/C][C]0.823065[/C][C]0.0669348[/C][/ROW]
[ROW][C]14[/C][C]0.89[/C][C]0.802799[/C][C]0.0872008[/C][/ROW]
[ROW][C]15[/C][C]0.89[/C][C]0.748645[/C][C]0.141355[/C][/ROW]
[ROW][C]16[/C][C]0.89[/C][C]0.651061[/C][C]0.238939[/C][/ROW]
[ROW][C]17[/C][C]0.89[/C][C]0.823935[/C][C]0.0660648[/C][/ROW]
[ROW][C]18[/C][C]0.67[/C][C]0.870802[/C][C]-0.200802[/C][/ROW]
[ROW][C]19[/C][C]1[/C][C]0.820017[/C][C]0.179983[/C][/ROW]
[ROW][C]20[/C][C]0.78[/C][C]0.725617[/C][C]0.0543828[/C][/ROW]
[ROW][C]21[/C][C]0.78[/C][C]0.773816[/C][C]0.00618377[/C][/ROW]
[ROW][C]22[/C][C]0.89[/C][C]0.934231[/C][C]-0.0442308[/C][/ROW]
[ROW][C]23[/C][C]0.78[/C][C]0.873833[/C][C]-0.0938331[/C][/ROW]
[ROW][C]24[/C][C]0.89[/C][C]0.81435[/C][C]0.0756498[/C][/ROW]
[ROW][C]25[/C][C]0.89[/C][C]0.916339[/C][C]-0.0263392[/C][/ROW]
[ROW][C]26[/C][C]0.33[/C][C]0.681785[/C][C]-0.351785[/C][/ROW]
[ROW][C]27[/C][C]1[/C][C]0.993557[/C][C]0.00644336[/C][/ROW]
[ROW][C]28[/C][C]0.89[/C][C]0.787029[/C][C]0.102971[/C][/ROW]
[ROW][C]29[/C][C]0.89[/C][C]0.949896[/C][C]-0.0598957[/C][/ROW]
[ROW][C]30[/C][C]0.67[/C][C]0.776573[/C][C]-0.106573[/C][/ROW]
[ROW][C]31[/C][C]0.56[/C][C]0.801018[/C][C]-0.241018[/C][/ROW]
[ROW][C]32[/C][C]0.89[/C][C]0.772726[/C][C]0.117274[/C][/ROW]
[ROW][C]33[/C][C]0.89[/C][C]0.952104[/C][C]-0.0621036[/C][/ROW]
[ROW][C]34[/C][C]1[/C][C]0.780323[/C][C]0.219677[/C][/ROW]
[ROW][C]35[/C][C]0.78[/C][C]0.957721[/C][C]-0.177721[/C][/ROW]
[ROW][C]36[/C][C]0.78[/C][C]0.891457[/C][C]-0.111457[/C][/ROW]
[ROW][C]37[/C][C]0.33[/C][C]0.674114[/C][C]-0.344114[/C][/ROW]
[ROW][C]38[/C][C]0.78[/C][C]0.648652[/C][C]0.131348[/C][/ROW]
[ROW][C]39[/C][C]0.89[/C][C]0.877572[/C][C]0.0124276[/C][/ROW]
[ROW][C]40[/C][C]0.89[/C][C]0.958412[/C][C]-0.0684119[/C][/ROW]
[ROW][C]41[/C][C]0.78[/C][C]0.929429[/C][C]-0.149429[/C][/ROW]
[ROW][C]42[/C][C]0.89[/C][C]0.921604[/C][C]-0.0316037[/C][/ROW]
[ROW][C]43[/C][C]0.89[/C][C]0.935991[/C][C]-0.0459906[/C][/ROW]
[ROW][C]44[/C][C]1[/C][C]0.949896[/C][C]0.0501043[/C][/ROW]
[ROW][C]45[/C][C]0.67[/C][C]0.833095[/C][C]-0.163095[/C][/ROW]
[ROW][C]46[/C][C]1[/C][C]0.846356[/C][C]0.153644[/C][/ROW]
[ROW][C]47[/C][C]0.89[/C][C]0.727651[/C][C]0.162349[/C][/ROW]
[ROW][C]48[/C][C]0.89[/C][C]0.77384[/C][C]0.11616[/C][/ROW]
[ROW][C]49[/C][C]0.89[/C][C]0.707813[/C][C]0.182187[/C][/ROW]
[ROW][C]50[/C][C]0.78[/C][C]0.955605[/C][C]-0.175605[/C][/ROW]
[ROW][C]51[/C][C]0.89[/C][C]0.850947[/C][C]0.0390533[/C][/ROW]
[ROW][C]52[/C][C]0.78[/C][C]0.763738[/C][C]0.0162619[/C][/ROW]
[ROW][C]53[/C][C]0.78[/C][C]0.821367[/C][C]-0.0413671[/C][/ROW]
[ROW][C]54[/C][C]1[/C][C]0.809088[/C][C]0.190912[/C][/ROW]
[ROW][C]55[/C][C]0.78[/C][C]0.785541[/C][C]-0.00554102[/C][/ROW]
[ROW][C]56[/C][C]1[/C][C]0.968713[/C][C]0.0312871[/C][/ROW]
[ROW][C]57[/C][C]0.78[/C][C]0.854605[/C][C]-0.0746054[/C][/ROW]
[ROW][C]58[/C][C]0.67[/C][C]0.706295[/C][C]-0.0362949[/C][/ROW]
[ROW][C]59[/C][C]0.33[/C][C]0.587365[/C][C]-0.257365[/C][/ROW]
[ROW][C]60[/C][C]1[/C][C]1.00008[/C][C]-8.46326e-05[/C][/ROW]
[ROW][C]61[/C][C]1[/C][C]0.976538[/C][C]0.0234619[/C][/ROW]
[ROW][C]62[/C][C]0.78[/C][C]0.89089[/C][C]-0.11089[/C][/ROW]
[ROW][C]63[/C][C]0.67[/C][C]0.897765[/C][C]-0.227765[/C][/ROW]
[ROW][C]64[/C][C]1[/C][C]0.807789[/C][C]0.192211[/C][/ROW]
[ROW][C]65[/C][C]0.89[/C][C]0.772726[/C][C]0.117274[/C][/ROW]
[ROW][C]66[/C][C]0.89[/C][C]0.840472[/C][C]0.0495281[/C][/ROW]
[ROW][C]67[/C][C]0.78[/C][C]0.788391[/C][C]-0.0083913[/C][/ROW]
[ROW][C]68[/C][C]1[/C][C]0.822638[/C][C]0.177362[/C][/ROW]
[ROW][C]69[/C][C]0.56[/C][C]0.81996[/C][C]-0.25996[/C][/ROW]
[ROW][C]70[/C][C]0.67[/C][C]0.779631[/C][C]-0.109631[/C][/ROW]
[ROW][C]71[/C][C]0.89[/C][C]0.920942[/C][C]-0.0309423[/C][/ROW]
[ROW][C]72[/C][C]0.89[/C][C]0.794457[/C][C]0.0955432[/C][/ROW]
[ROW][C]73[/C][C]0.89[/C][C]0.803176[/C][C]0.0868239[/C][/ROW]
[ROW][C]74[/C][C]0.89[/C][C]0.880204[/C][C]0.009796[/C][/ROW]
[ROW][C]75[/C][C]0.78[/C][C]0.673244[/C][C]0.106756[/C][/ROW]
[ROW][C]76[/C][C]1[/C][C]0.639314[/C][C]0.360686[/C][/ROW]
[ROW][C]77[/C][C]1[/C][C]0.865355[/C][C]0.134645[/C][/ROW]
[ROW][C]78[/C][C]0.89[/C][C]0.820141[/C][C]0.0698587[/C][/ROW]
[ROW][C]79[/C][C]0.44[/C][C]0.665816[/C][C]-0.225816[/C][/ROW]
[ROW][C]80[/C][C]0.78[/C][C]0.923866[/C][C]-0.143866[/C][/ROW]
[ROW][C]81[/C][C]0.89[/C][C]0.785813[/C][C]0.104187[/C][/ROW]
[ROW][C]82[/C][C]0.67[/C][C]0.609169[/C][C]0.0608308[/C][/ROW]
[ROW][C]83[/C][C]0.78[/C][C]0.848988[/C][C]-0.068988[/C][/ROW]
[ROW][C]84[/C][C]0.78[/C][C]0.853989[/C][C]-0.0739888[/C][/ROW]
[ROW][C]85[/C][C]0.33[/C][C]0.641002[/C][C]-0.311002[/C][/ROW]
[ROW][C]86[/C][C]0.89[/C][C]0.884489[/C][C]0.00551124[/C][/ROW]
[ROW][C]87[/C][C]0.89[/C][C]0.716228[/C][C]0.173772[/C][/ROW]
[ROW][C]88[/C][C]0.89[/C][C]0.854605[/C][C]0.0353946[/C][/ROW]
[ROW][C]89[/C][C]0.89[/C][C]0.86332[/C][C]0.0266796[/C][/ROW]
[ROW][C]90[/C][C]0.56[/C][C]0.808889[/C][C]-0.248889[/C][/ROW]
[ROW][C]91[/C][C]0.67[/C][C]0.865355[/C][C]-0.195355[/C][/ROW]
[ROW][C]92[/C][C]0.67[/C][C]0.855749[/C][C]-0.185749[/C][/ROW]
[ROW][C]93[/C][C]0.78[/C][C]0.840105[/C][C]-0.0601046[/C][/ROW]
[ROW][C]94[/C][C]0.78[/C][C]0.847207[/C][C]-0.0672073[/C][/ROW]
[ROW][C]95[/C][C]0.78[/C][C]0.81743[/C][C]-0.0374299[/C][/ROW]
[ROW][C]96[/C][C]0.89[/C][C]0.781423[/C][C]0.108577[/C][/ROW]
[ROW][C]97[/C][C]1[/C][C]0.917266[/C][C]0.0827343[/C][/ROW]
[ROW][C]98[/C][C]0.89[/C][C]0.84444[/C][C]0.0455604[/C][/ROW]
[ROW][C]99[/C][C]0.89[/C][C]0.902879[/C][C]-0.0128787[/C][/ROW]
[ROW][C]100[/C][C]0.78[/C][C]0.857529[/C][C]-0.0775293[/C][/ROW]
[ROW][C]101[/C][C]1[/C][C]0.807389[/C][C]0.192611[/C][/ROW]
[ROW][C]102[/C][C]0.78[/C][C]0.794406[/C][C]-0.0144065[/C][/ROW]
[ROW][C]103[/C][C]0.67[/C][C]0.531882[/C][C]0.138118[/C][/ROW]
[ROW][C]104[/C][C]0.78[/C][C]0.757231[/C][C]0.022769[/C][/ROW]
[ROW][C]105[/C][C]0.89[/C][C]0.809088[/C][C]0.0809125[/C][/ROW]
[ROW][C]106[/C][C]0.67[/C][C]0.554282[/C][C]0.115718[/C][/ROW]
[ROW][C]107[/C][C]0.22[/C][C]0.576957[/C][C]-0.356957[/C][/ROW]
[ROW][C]108[/C][C]0.44[/C][C]0.745585[/C][C]-0.305585[/C][/ROW]
[ROW][C]109[/C][C]0.89[/C][C]0.745232[/C][C]0.144768[/C][/ROW]
[ROW][C]110[/C][C]0.67[/C][C]0.777872[/C][C]-0.107872[/C][/ROW]
[ROW][C]111[/C][C]0.89[/C][C]0.759564[/C][C]0.130436[/C][/ROW]
[ROW][C]112[/C][C]0.67[/C][C]0.85577[/C][C]-0.18577[/C][/ROW]
[ROW][C]113[/C][C]0.78[/C][C]0.880222[/C][C]-0.100222[/C][/ROW]
[ROW][C]114[/C][C]0.78[/C][C]0.873212[/C][C]-0.0932124[/C][/ROW]
[ROW][C]115[/C][C]0.78[/C][C]0.8274[/C][C]-0.0474005[/C][/ROW]
[ROW][C]116[/C][C]1[/C][C]0.903264[/C][C]0.0967357[/C][/ROW]
[ROW][C]117[/C][C]0.78[/C][C]0.995879[/C][C]-0.215879[/C][/ROW]
[ROW][C]118[/C][C]0.67[/C][C]0.758936[/C][C]-0.0889365[/C][/ROW]
[ROW][C]119[/C][C]0.89[/C][C]0.985696[/C][C]-0.0956963[/C][/ROW]
[ROW][C]120[/C][C]0.89[/C][C]0.841996[/C][C]0.0480035[/C][/ROW]
[ROW][C]121[/C][C]1[/C][C]0.885861[/C][C]0.114139[/C][/ROW]
[ROW][C]122[/C][C]0.78[/C][C]0.762613[/C][C]0.0173869[/C][/ROW]
[ROW][C]123[/C][C]0.67[/C][C]0.809295[/C][C]-0.139295[/C][/ROW]
[ROW][C]124[/C][C]0.89[/C][C]0.915912[/C][C]-0.0259123[/C][/ROW]
[ROW][C]125[/C][C]0.67[/C][C]0.869693[/C][C]-0.199693[/C][/ROW]
[ROW][C]126[/C][C]0.67[/C][C]0.752032[/C][C]-0.0820316[/C][/ROW]
[ROW][C]127[/C][C]1[/C][C]0.802171[/C][C]0.197829[/C][/ROW]
[ROW][C]128[/C][C]0.67[/C][C]0.771154[/C][C]-0.101154[/C][/ROW]
[ROW][C]129[/C][C]1[/C][C]0.836098[/C][C]0.163902[/C][/ROW]
[ROW][C]130[/C][C]0.89[/C][C]0.912055[/C][C]-0.0220548[/C][/ROW]
[ROW][C]131[/C][C]0.89[/C][C]0.925939[/C][C]-0.035939[/C][/ROW]
[ROW][C]132[/C][C]1[/C][C]0.725089[/C][C]0.274911[/C][/ROW]
[ROW][C]133[/C][C]0.67[/C][C]0.854843[/C][C]-0.184843[/C][/ROW]
[ROW][C]134[/C][C]0.44[/C][C]0.814806[/C][C]-0.374806[/C][/ROW]
[ROW][C]135[/C][C]0.89[/C][C]0.744527[/C][C]0.145473[/C][/ROW]
[ROW][C]136[/C][C]0.56[/C][C]0.885861[/C][C]-0.325861[/C][/ROW]
[ROW][C]137[/C][C]0.78[/C][C]0.895887[/C][C]-0.115887[/C][/ROW]
[ROW][C]138[/C][C]1[/C][C]0.817319[/C][C]0.182681[/C][/ROW]
[ROW][C]139[/C][C]1[/C][C]0.83197[/C][C]0.16803[/C][/ROW]
[ROW][C]140[/C][C]0.89[/C][C]0.777281[/C][C]0.112719[/C][/ROW]
[ROW][C]141[/C][C]0.67[/C][C]0.794289[/C][C]-0.124289[/C][/ROW]
[ROW][C]142[/C][C]0.89[/C][C]0.817815[/C][C]0.0721845[/C][/ROW]
[ROW][C]143[/C][C]0.33[/C][C]0.493949[/C][C]-0.163949[/C][/ROW]
[ROW][C]144[/C][C]0.89[/C][C]0.894127[/C][C]-0.00412737[/C][/ROW]
[ROW][C]145[/C][C]0.78[/C][C]0.849006[/C][C]-0.0690063[/C][/ROW]
[ROW][C]146[/C][C]1[/C][C]0.76698[/C][C]0.23302[/C][/ROW]
[ROW][C]147[/C][C]0.44[/C][C]0.793829[/C][C]-0.353829[/C][/ROW]
[ROW][C]148[/C][C]0.67[/C][C]0.697667[/C][C]-0.027667[/C][/ROW]
[ROW][C]149[/C][C]0.33[/C][C]0.539024[/C][C]-0.209024[/C][/ROW]
[ROW][C]150[/C][C]0.89[/C][C]0.896757[/C][C]-0.0067572[/C][/ROW]
[ROW][C]151[/C][C]0.89[/C][C]0.710757[/C][C]0.179243[/C][/ROW]
[ROW][C]152[/C][C]1[/C][C]0.837006[/C][C]0.162994[/C][/ROW]
[ROW][C]153[/C][C]0.89[/C][C]0.938587[/C][C]-0.048587[/C][/ROW]
[ROW][C]154[/C][C]0.89[/C][C]0.770956[/C][C]0.119044[/C][/ROW]
[ROW][C]155[/C][C]1[/C][C]0.846145[/C][C]0.153855[/C][/ROW]
[ROW][C]156[/C][C]0.89[/C][C]0.769039[/C][C]0.120961[/C][/ROW]
[ROW][C]157[/C][C]1[/C][C]0.971288[/C][C]0.0287116[/C][/ROW]
[ROW][C]158[/C][C]0.78[/C][C]0.879079[/C][C]-0.099079[/C][/ROW]
[ROW][C]159[/C][C]0.78[/C][C]0.941392[/C][C]-0.161392[/C][/ROW]
[ROW][C]160[/C][C]0.67[/C][C]0.723789[/C][C]-0.0537887[/C][/ROW]
[ROW][C]161[/C][C]0.89[/C][C]0.948769[/C][C]-0.0587695[/C][/ROW]
[ROW][C]162[/C][C]0.67[/C][C]0.88102[/C][C]-0.21102[/C][/ROW]
[ROW][C]163[/C][C]0.78[/C][C]0.786973[/C][C]-0.00697331[/C][/ROW]
[ROW][C]164[/C][C]0.89[/C][C]0.858363[/C][C]0.031637[/C][/ROW]
[ROW][C]165[/C][C]0.89[/C][C]0.89033[/C][C]-0.000330365[/C][/ROW]
[ROW][C]166[/C][C]0.78[/C][C]0.830032[/C][C]-0.0500321[/C][/ROW]
[ROW][C]167[/C][C]1[/C][C]0.918718[/C][C]0.0812824[/C][/ROW]
[ROW][C]168[/C][C]1[/C][C]0.853522[/C][C]0.146478[/C][/ROW]
[ROW][C]169[/C][C]1[/C][C]0.76606[/C][C]0.23394[/C][/ROW]
[ROW][C]170[/C][C]0.67[/C][C]0.850694[/C][C]-0.180694[/C][/ROW]
[ROW][C]171[/C][C]0.89[/C][C]0.951693[/C][C]-0.0616934[/C][/ROW]
[ROW][C]172[/C][C]1[/C][C]0.728591[/C][C]0.271409[/C][/ROW]
[ROW][C]173[/C][C]1[/C][C]0.950287[/C][C]0.0497135[/C][/ROW]
[ROW][C]174[/C][C]0.89[/C][C]0.918562[/C][C]-0.0285619[/C][/ROW]
[ROW][C]175[/C][C]0.89[/C][C]0.918562[/C][C]-0.0285619[/C][/ROW]
[ROW][C]176[/C][C]0.89[/C][C]0.803838[/C][C]0.0861622[/C][/ROW]
[ROW][C]177[/C][C]0.89[/C][C]0.811308[/C][C]0.0786916[/C][/ROW]
[ROW][C]178[/C][C]0.89[/C][C]0.691634[/C][C]0.198366[/C][/ROW]
[ROW][C]179[/C][C]1[/C][C]0.734101[/C][C]0.265899[/C][/ROW]
[ROW][C]180[/C][C]0.67[/C][C]0.852864[/C][C]-0.182864[/C][/ROW]
[ROW][C]181[/C][C]1[/C][C]0.794047[/C][C]0.205953[/C][/ROW]
[ROW][C]182[/C][C]0.89[/C][C]0.690196[/C][C]0.199804[/C][/ROW]
[ROW][C]183[/C][C]0.89[/C][C]0.917155[/C][C]-0.027155[/C][/ROW]
[ROW][C]184[/C][C]0.89[/C][C]0.694618[/C][C]0.195382[/C][/ROW]
[ROW][C]185[/C][C]0.89[/C][C]0.698337[/C][C]0.191663[/C][/ROW]
[ROW][C]186[/C][C]1[/C][C]0.867688[/C][C]0.132312[/C][/ROW]
[ROW][C]187[/C][C]1[/C][C]0.867688[/C][C]0.132312[/C][/ROW]
[ROW][C]188[/C][C]1[/C][C]0.867688[/C][C]0.132312[/C][/ROW]
[ROW][C]189[/C][C]0.89[/C][C]0.867688[/C][C]0.022312[/C][/ROW]
[ROW][C]190[/C][C]0.89[/C][C]0.732789[/C][C]0.157211[/C][/ROW]
[ROW][C]191[/C][C]0.89[/C][C]0.927259[/C][C]-0.0372589[/C][/ROW]
[ROW][C]192[/C][C]0.33[/C][C]0.628553[/C][C]-0.298553[/C][/ROW]
[ROW][C]193[/C][C]0.67[/C][C]0.757238[/C][C]-0.0872383[/C][/ROW]
[ROW][C]194[/C][C]0.56[/C][C]0.657611[/C][C]-0.0976113[/C][/ROW]
[ROW][C]195[/C][C]0.44[/C][C]0.77394[/C][C]-0.33394[/C][/ROW]
[ROW][C]196[/C][C]1[/C][C]0.981745[/C][C]0.0182548[/C][/ROW]
[ROW][C]197[/C][C]0.89[/C][C]0.885124[/C][C]0.00487641[/C][/ROW]
[ROW][C]198[/C][C]0.33[/C][C]0.457022[/C][C]-0.127022[/C][/ROW]
[ROW][C]199[/C][C]0.67[/C][C]0.715975[/C][C]-0.0459748[/C][/ROW]
[ROW][C]200[/C][C]0.67[/C][C]0.813224[/C][C]-0.143224[/C][/ROW]
[ROW][C]201[/C][C]1[/C][C]0.885861[/C][C]0.114139[/C][/ROW]
[ROW][C]202[/C][C]0.78[/C][C]0.857012[/C][C]-0.0770125[/C][/ROW]
[ROW][C]203[/C][C]0.67[/C][C]0.750041[/C][C]-0.0800406[/C][/ROW]
[ROW][C]204[/C][C]1[/C][C]0.728536[/C][C]0.271464[/C][/ROW]
[ROW][C]205[/C][C]0.78[/C][C]0.854843[/C][C]-0.0748434[/C][/ROW]
[ROW][C]206[/C][C]0.89[/C][C]0.827129[/C][C]0.0628709[/C][/ROW]
[ROW][C]207[/C][C]0.89[/C][C]0.734147[/C][C]0.155853[/C][/ROW]
[ROW][C]208[/C][C]0.89[/C][C]0.88015[/C][C]0.00985031[/C][/ROW]
[ROW][C]209[/C][C]0[/C][C]0.42784[/C][C]-0.42784[/C][/ROW]
[ROW][C]210[/C][C]0.67[/C][C]0.753224[/C][C]-0.0832239[/C][/ROW]
[ROW][C]211[/C][C]1[/C][C]0.839638[/C][C]0.160362[/C][/ROW]
[ROW][C]212[/C][C]1[/C][C]0.863165[/C][C]0.136835[/C][/ROW]
[ROW][C]213[/C][C]0.67[/C][C]0.618862[/C][C]0.0511376[/C][/ROW]
[ROW][C]214[/C][C]0.89[/C][C]0.713388[/C][C]0.176612[/C][/ROW]
[ROW][C]215[/C][C]0.89[/C][C]0.899994[/C][C]-0.00999397[/C][/ROW]
[ROW][C]216[/C][C]0.56[/C][C]0.666203[/C][C]-0.106203[/C][/ROW]
[ROW][C]217[/C][C]0.67[/C][C]0.746717[/C][C]-0.0767169[/C][/ROW]
[ROW][C]218[/C][C]1[/C][C]0.844031[/C][C]0.155969[/C][/ROW]
[ROW][C]219[/C][C]1[/C][C]0.847937[/C][C]0.152063[/C][/ROW]
[ROW][C]220[/C][C]1[/C][C]0.969684[/C][C]0.0303156[/C][/ROW]
[ROW][C]221[/C][C]0.67[/C][C]0.772715[/C][C]-0.102715[/C][/ROW]
[ROW][C]222[/C][C]0.44[/C][C]0.706806[/C][C]-0.266806[/C][/ROW]
[ROW][C]223[/C][C]0.89[/C][C]1.00926[/C][C]-0.119261[/C][/ROW]
[ROW][C]224[/C][C]0.44[/C][C]0.780739[/C][C]-0.340739[/C][/ROW]
[ROW][C]225[/C][C]0.56[/C][C]0.832764[/C][C]-0.272764[/C][/ROW]
[ROW][C]226[/C][C]0.89[/C][C]0.804902[/C][C]0.0850975[/C][/ROW]
[ROW][C]227[/C][C]0.67[/C][C]0.747316[/C][C]-0.0773155[/C][/ROW]
[ROW][C]228[/C][C]0.89[/C][C]0.860105[/C][C]0.0298952[/C][/ROW]
[ROW][C]229[/C][C]1[/C][C]0.850096[/C][C]0.149904[/C][/ROW]
[ROW][C]230[/C][C]0.78[/C][C]0.794446[/C][C]-0.0144457[/C][/ROW]
[ROW][C]231[/C][C]0.44[/C][C]0.462733[/C][C]-0.0227326[/C][/ROW]
[ROW][C]232[/C][C]0.89[/C][C]0.786599[/C][C]0.103401[/C][/ROW]
[ROW][C]233[/C][C]0.89[/C][C]0.881909[/C][C]0.00809052[/C][/ROW]
[ROW][C]234[/C][C]0.89[/C][C]0.832169[/C][C]0.0578313[/C][/ROW]
[ROW][C]235[/C][C]0.44[/C][C]0.493949[/C][C]-0.0539485[/C][/ROW]
[ROW][C]236[/C][C]1[/C][C]0.915912[/C][C]0.0840877[/C][/ROW]
[ROW][C]237[/C][C]0.89[/C][C]0.811464[/C][C]0.0785358[/C][/ROW]
[ROW][C]238[/C][C]0.67[/C][C]0.743732[/C][C]-0.0737324[/C][/ROW]
[ROW][C]239[/C][C]0.33[/C][C]0.493949[/C][C]-0.163949[/C][/ROW]
[ROW][C]240[/C][C]0.78[/C][C]0.64385[/C][C]0.13615[/C][/ROW]
[ROW][C]241[/C][C]0.89[/C][C]0.885586[/C][C]0.00441388[/C][/ROW]
[ROW][C]242[/C][C]0.78[/C][C]0.708598[/C][C]0.0714023[/C][/ROW]
[ROW][C]243[/C][C]0.78[/C][C]0.813444[/C][C]-0.0334437[/C][/ROW]
[ROW][C]244[/C][C]0.89[/C][C]0.89033[/C][C]-0.000330365[/C][/ROW]
[ROW][C]245[/C][C]0.78[/C][C]0.949934[/C][C]-0.169934[/C][/ROW]
[ROW][C]246[/C][C]0.78[/C][C]0.873622[/C][C]-0.0936217[/C][/ROW]
[ROW][C]247[/C][C]0.67[/C][C]0.763483[/C][C]-0.0934832[/C][/ROW]
[ROW][C]248[/C][C]0.89[/C][C]0.781609[/C][C]0.108391[/C][/ROW]
[ROW][C]249[/C][C]0.89[/C][C]0.824572[/C][C]0.0654282[/C][/ROW]
[ROW][C]250[/C][C]0.78[/C][C]0.83873[/C][C]-0.0587304[/C][/ROW]
[ROW][C]251[/C][C]1[/C][C]0.878462[/C][C]0.121538[/C][/ROW]
[ROW][C]252[/C][C]1[/C][C]0.744306[/C][C]0.255694[/C][/ROW]
[ROW][C]253[/C][C]0.78[/C][C]0.86793[/C][C]-0.0879301[/C][/ROW]
[ROW][C]254[/C][C]0.78[/C][C]0.657611[/C][C]0.122389[/C][/ROW]
[ROW][C]255[/C][C]0.89[/C][C]0.963911[/C][C]-0.0739113[/C][/ROW]
[ROW][C]256[/C][C]0.89[/C][C]0.924335[/C][C]-0.034335[/C][/ROW]
[ROW][C]257[/C][C]0.67[/C][C]0.877989[/C][C]-0.207989[/C][/ROW]
[ROW][C]258[/C][C]1[/C][C]0.779575[/C][C]0.220425[/C][/ROW]
[ROW][C]259[/C][C]0.67[/C][C]0.751265[/C][C]-0.0812653[/C][/ROW]
[ROW][C]260[/C][C]0.56[/C][C]0.739814[/C][C]-0.179814[/C][/ROW]
[ROW][C]261[/C][C]0.78[/C][C]0.830032[/C][C]-0.0500321[/C][/ROW]
[ROW][C]262[/C][C]1[/C][C]0.924335[/C][C]0.075665[/C][/ROW]
[ROW][C]263[/C][C]0.67[/C][C]0.535347[/C][C]0.134653[/C][/ROW]
[ROW][C]264[/C][C]0.78[/C][C]0.813444[/C][C]-0.0334437[/C][/ROW]
[ROW][C]265[/C][C]0.56[/C][C]0.723789[/C][C]-0.163789[/C][/ROW]
[ROW][C]266[/C][C]1[/C][C]0.815645[/C][C]0.184355[/C][/ROW]
[ROW][C]267[/C][C]0.89[/C][C]0.717238[/C][C]0.172762[/C][/ROW]
[ROW][C]268[/C][C]0.44[/C][C]0.679416[/C][C]-0.239416[/C][/ROW]
[ROW][C]269[/C][C]1[/C][C]0.902424[/C][C]0.0975765[/C][/ROW]
[ROW][C]270[/C][C]0.89[/C][C]0.802114[/C][C]0.0878862[/C][/ROW]
[ROW][C]271[/C][C]0.78[/C][C]0.661015[/C][C]0.118985[/C][/ROW]
[ROW][C]272[/C][C]0.89[/C][C]0.883669[/C][C]0.00633074[/C][/ROW]
[ROW][C]273[/C][C]0.11[/C][C]0.457022[/C][C]-0.347022[/C][/ROW]
[ROW][C]274[/C][C]0.89[/C][C]0.896043[/C][C]-0.00604293[/C][/ROW]
[ROW][C]275[/C][C]0.89[/C][C]0.800828[/C][C]0.089172[/C][/ROW]
[ROW][C]276[/C][C]1[/C][C]0.857231[/C][C]0.142769[/C][/ROW]
[ROW][C]277[/C][C]0.89[/C][C]0.804902[/C][C]0.0850975[/C][/ROW]
[ROW][C]278[/C][C]1[/C][C]0.826581[/C][C]0.173419[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=272410&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=272410&T=4

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


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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
110.8171310.182869
20.890.8841340.00586587
30.890.8886280.00137207
40.890.7772740.112726
50.890.8737260.0162737
60.780.6287330.151267
70.890.7861580.103842
810.8375350.162465
90.890.8243830.0656166
100.780.814418-0.0344184
1110.8718920.128108
120.780.7210690.0589312
130.890.8230650.0669348
140.890.8027990.0872008
150.890.7486450.141355
160.890.6510610.238939
170.890.8239350.0660648
180.670.870802-0.200802
1910.8200170.179983
200.780.7256170.0543828
210.780.7738160.00618377
220.890.934231-0.0442308
230.780.873833-0.0938331
240.890.814350.0756498
250.890.916339-0.0263392
260.330.681785-0.351785
2710.9935570.00644336
280.890.7870290.102971
290.890.949896-0.0598957
300.670.776573-0.106573
310.560.801018-0.241018
320.890.7727260.117274
330.890.952104-0.0621036
3410.7803230.219677
350.780.957721-0.177721
360.780.891457-0.111457
370.330.674114-0.344114
380.780.6486520.131348
390.890.8775720.0124276
400.890.958412-0.0684119
410.780.929429-0.149429
420.890.921604-0.0316037
430.890.935991-0.0459906
4410.9498960.0501043
450.670.833095-0.163095
4610.8463560.153644
470.890.7276510.162349
480.890.773840.11616
490.890.7078130.182187
500.780.955605-0.175605
510.890.8509470.0390533
520.780.7637380.0162619
530.780.821367-0.0413671
5410.8090880.190912
550.780.785541-0.00554102
5610.9687130.0312871
570.780.854605-0.0746054
580.670.706295-0.0362949
590.330.587365-0.257365
6011.00008-8.46326e-05
6110.9765380.0234619
620.780.89089-0.11089
630.670.897765-0.227765
6410.8077890.192211
650.890.7727260.117274
660.890.8404720.0495281
670.780.788391-0.0083913
6810.8226380.177362
690.560.81996-0.25996
700.670.779631-0.109631
710.890.920942-0.0309423
720.890.7944570.0955432
730.890.8031760.0868239
740.890.8802040.009796
750.780.6732440.106756
7610.6393140.360686
7710.8653550.134645
780.890.8201410.0698587
790.440.665816-0.225816
800.780.923866-0.143866
810.890.7858130.104187
820.670.6091690.0608308
830.780.848988-0.068988
840.780.853989-0.0739888
850.330.641002-0.311002
860.890.8844890.00551124
870.890.7162280.173772
880.890.8546050.0353946
890.890.863320.0266796
900.560.808889-0.248889
910.670.865355-0.195355
920.670.855749-0.185749
930.780.840105-0.0601046
940.780.847207-0.0672073
950.780.81743-0.0374299
960.890.7814230.108577
9710.9172660.0827343
980.890.844440.0455604
990.890.902879-0.0128787
1000.780.857529-0.0775293
10110.8073890.192611
1020.780.794406-0.0144065
1030.670.5318820.138118
1040.780.7572310.022769
1050.890.8090880.0809125
1060.670.5542820.115718
1070.220.576957-0.356957
1080.440.745585-0.305585
1090.890.7452320.144768
1100.670.777872-0.107872
1110.890.7595640.130436
1120.670.85577-0.18577
1130.780.880222-0.100222
1140.780.873212-0.0932124
1150.780.8274-0.0474005
11610.9032640.0967357
1170.780.995879-0.215879
1180.670.758936-0.0889365
1190.890.985696-0.0956963
1200.890.8419960.0480035
12110.8858610.114139
1220.780.7626130.0173869
1230.670.809295-0.139295
1240.890.915912-0.0259123
1250.670.869693-0.199693
1260.670.752032-0.0820316
12710.8021710.197829
1280.670.771154-0.101154
12910.8360980.163902
1300.890.912055-0.0220548
1310.890.925939-0.035939
13210.7250890.274911
1330.670.854843-0.184843
1340.440.814806-0.374806
1350.890.7445270.145473
1360.560.885861-0.325861
1370.780.895887-0.115887
13810.8173190.182681
13910.831970.16803
1400.890.7772810.112719
1410.670.794289-0.124289
1420.890.8178150.0721845
1430.330.493949-0.163949
1440.890.894127-0.00412737
1450.780.849006-0.0690063
14610.766980.23302
1470.440.793829-0.353829
1480.670.697667-0.027667
1490.330.539024-0.209024
1500.890.896757-0.0067572
1510.890.7107570.179243
15210.8370060.162994
1530.890.938587-0.048587
1540.890.7709560.119044
15510.8461450.153855
1560.890.7690390.120961
15710.9712880.0287116
1580.780.879079-0.099079
1590.780.941392-0.161392
1600.670.723789-0.0537887
1610.890.948769-0.0587695
1620.670.88102-0.21102
1630.780.786973-0.00697331
1640.890.8583630.031637
1650.890.89033-0.000330365
1660.780.830032-0.0500321
16710.9187180.0812824
16810.8535220.146478
16910.766060.23394
1700.670.850694-0.180694
1710.890.951693-0.0616934
17210.7285910.271409
17310.9502870.0497135
1740.890.918562-0.0285619
1750.890.918562-0.0285619
1760.890.8038380.0861622
1770.890.8113080.0786916
1780.890.6916340.198366
17910.7341010.265899
1800.670.852864-0.182864
18110.7940470.205953
1820.890.6901960.199804
1830.890.917155-0.027155
1840.890.6946180.195382
1850.890.6983370.191663
18610.8676880.132312
18710.8676880.132312
18810.8676880.132312
1890.890.8676880.022312
1900.890.7327890.157211
1910.890.927259-0.0372589
1920.330.628553-0.298553
1930.670.757238-0.0872383
1940.560.657611-0.0976113
1950.440.77394-0.33394
19610.9817450.0182548
1970.890.8851240.00487641
1980.330.457022-0.127022
1990.670.715975-0.0459748
2000.670.813224-0.143224
20110.8858610.114139
2020.780.857012-0.0770125
2030.670.750041-0.0800406
20410.7285360.271464
2050.780.854843-0.0748434
2060.890.8271290.0628709
2070.890.7341470.155853
2080.890.880150.00985031
20900.42784-0.42784
2100.670.753224-0.0832239
21110.8396380.160362
21210.8631650.136835
2130.670.6188620.0511376
2140.890.7133880.176612
2150.890.899994-0.00999397
2160.560.666203-0.106203
2170.670.746717-0.0767169
21810.8440310.155969
21910.8479370.152063
22010.9696840.0303156
2210.670.772715-0.102715
2220.440.706806-0.266806
2230.891.00926-0.119261
2240.440.780739-0.340739
2250.560.832764-0.272764
2260.890.8049020.0850975
2270.670.747316-0.0773155
2280.890.8601050.0298952
22910.8500960.149904
2300.780.794446-0.0144457
2310.440.462733-0.0227326
2320.890.7865990.103401
2330.890.8819090.00809052
2340.890.8321690.0578313
2350.440.493949-0.0539485
23610.9159120.0840877
2370.890.8114640.0785358
2380.670.743732-0.0737324
2390.330.493949-0.163949
2400.780.643850.13615
2410.890.8855860.00441388
2420.780.7085980.0714023
2430.780.813444-0.0334437
2440.890.89033-0.000330365
2450.780.949934-0.169934
2460.780.873622-0.0936217
2470.670.763483-0.0934832
2480.890.7816090.108391
2490.890.8245720.0654282
2500.780.83873-0.0587304
25110.8784620.121538
25210.7443060.255694
2530.780.86793-0.0879301
2540.780.6576110.122389
2550.890.963911-0.0739113
2560.890.924335-0.034335
2570.670.877989-0.207989
25810.7795750.220425
2590.670.751265-0.0812653
2600.560.739814-0.179814
2610.780.830032-0.0500321
26210.9243350.075665
2630.670.5353470.134653
2640.780.813444-0.0334437
2650.560.723789-0.163789
26610.8156450.184355
2670.890.7172380.172762
2680.440.679416-0.239416
26910.9024240.0975765
2700.890.8021140.0878862
2710.780.6610150.118985
2720.890.8836690.00633074
2730.110.457022-0.347022
2740.890.896043-0.00604293
2750.890.8008280.089172
27610.8572310.142769
2770.890.8049020.0850975
27810.8265810.173419






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
120.3784060.7568120.621594
130.2251390.4502770.774861
140.1224940.2449880.877506
150.06333330.1266670.936667
160.0310820.06216410.968918
170.01406070.02812140.985939
180.04554510.09109020.954455
190.02654730.05309470.973453
200.01382260.02764520.986177
210.02067990.04135980.97932
220.01146630.02293270.988534
230.006990090.01398020.99301
240.003634990.007269970.996365
250.002826720.005653430.997173
260.2947170.5894340.705283
270.253860.507720.74614
280.2091650.4183310.790835
290.1773860.3547720.822614
300.1814890.3629790.818511
310.2715490.5430980.728451
320.2593580.5187160.740642
330.215470.4309390.78453
340.2386670.4773350.761333
350.2463690.4927390.753631
360.2353670.4707340.764633
370.5325520.9348950.467448
380.4833040.9666080.516696
390.4278790.8557580.572121
400.3759640.7519270.624036
410.3593760.7187520.640624
420.3112040.6224090.688796
430.2661690.5323390.733831
440.2340010.4680020.765999
450.3257030.6514050.674297
460.3351070.6702140.664893
470.3262770.6525540.673723
480.2876840.5753670.712316
490.273360.546720.72664
500.3216320.6432640.678368
510.2795390.5590790.720461
520.2402310.4804620.759769
530.2200490.4400990.779951
540.2339570.4679150.766043
550.1992090.3984170.800791
560.1735550.347110.826445
570.155170.3103390.84483
580.144730.2894590.85527
590.2733510.5467020.726649
600.2370330.4740660.762967
610.2062320.4124630.793768
620.1938030.3876070.806197
630.2120970.4241940.787903
640.2405080.4810170.759492
650.2253860.4507710.774614
660.195990.391980.80401
670.1674590.3349190.832541
680.1745430.3490850.825457
690.2257890.4515780.774211
700.2088620.4177240.791138
710.1800830.3601660.819917
720.1725130.3450260.827487
730.1598470.3196930.840153
740.1364580.2729160.863542
750.1271370.2542740.872863
760.2411510.4823020.758849
770.2371530.4743060.762847
780.221030.442060.77897
790.2717960.5435910.728204
800.2789680.5579360.721032
810.2585740.5171480.741426
820.2310440.4620890.768956
830.2064160.4128320.793584
840.1867910.3735810.813209
850.3029060.6058130.697094
860.2709160.5418330.729084
870.2729640.5459290.727036
880.2485470.4970930.751453
890.2265490.4530980.773451
900.28020.5604010.7198
910.2975430.5950860.702457
920.3189140.6378280.681086
930.2915140.5830280.708486
940.2634210.5268420.736579
950.2359750.4719510.764025
960.2247510.4495030.775249
970.2087040.4174090.791296
980.185880.3717590.81412
990.1619250.323850.838075
1000.1460230.2920450.853977
1010.1577990.3155990.842201
1020.1374970.2749930.862503
1030.1331380.2662750.866862
1040.1160340.2320680.883966
1050.1093240.2186480.890676
1060.1096670.2193350.890333
1070.2231040.4462080.776896
1080.2814250.562850.718575
1090.2864040.5728080.713596
1100.2622550.5245110.737745
1110.2805570.5611130.719443
1120.2827790.5655580.717221
1130.2556580.5113160.744342
1140.2310350.4620710.768965
1150.2078370.4156730.792163
1160.2058690.4117380.794131
1170.2102440.4204870.789756
1180.1892440.3784870.810756
1190.169860.339720.83014
1200.1556680.3113360.844332
1210.1550350.310070.844965
1220.1375750.2751510.862425
1230.131780.2635610.86822
1240.1140280.2280550.885972
1250.1242440.2484890.875756
1260.1122640.2245280.887736
1270.1321120.2642240.867888
1280.1198780.2397550.880122
1290.1394510.2789020.860549
1300.1207620.2415230.879238
1310.1045260.2090530.895474
1320.1660940.3321880.833906
1330.1747350.349470.825265
1340.323640.647280.67636
1350.3241090.6482180.675891
1360.4378660.8757320.562134
1370.4223490.8446980.577651
1380.4557240.9114480.544276
1390.4770720.9541440.522928
1400.4631390.9262770.536861
1410.4485850.897170.551415
1420.4210330.8420650.578967
1430.4371860.8743730.562814
1440.4038640.8077270.596136
1450.3744280.7488560.625572
1460.4363530.8727070.563647
1470.5949960.8100080.405004
1480.5608590.8782830.439141
1490.5860470.8279070.413953
1500.5527550.8944910.447245
1510.5737830.8524340.426217
1520.5898520.8202950.410148
1530.5616810.8766390.438319
1540.5529110.8941780.447089
1550.5625770.8748450.437423
1560.5551230.8897530.444877
1570.5229370.9541250.477063
1580.5017820.9964360.498218
1590.502740.994520.49726
1600.4711580.9423170.528842
1610.4467130.8934250.553287
1620.4866160.9732320.513384
1630.455720.9114390.54428
1640.4220070.8440140.577993
1650.3916450.7832890.608355
1660.3602380.7204760.639762
1670.3435050.687010.656495
1680.3416840.6833670.658316
1690.3914360.7828730.608564
1700.4087620.8175240.591238
1710.3819080.7638160.618092
1720.4713070.9426140.528693
1730.4444310.8888620.555569
1740.4118580.8237160.588142
1750.3802570.7605140.619743
1760.3588440.7176880.641156
1770.3337690.6675390.666231
1780.3666480.7332960.633352
1790.4495780.8991570.550422
1800.4707050.941410.529295
1810.502060.9958810.49794
1820.5492550.9014910.450745
1830.5227020.9545960.477298
1840.5590030.8819940.440997
1850.5995190.8009620.400481
1860.5848620.8302770.415138
1870.5695820.8608370.430418
1880.5544430.8911140.445557
1890.5168530.9662950.483147
1900.5462310.9075370.453769
1910.5117840.9764310.488216
1920.6203670.7592660.379633
1930.6034640.7930730.396536
1940.5797660.8404670.420234
1950.7075140.5849710.292486
1960.674410.6511810.32559
1970.6383340.7233310.361666
1980.6196020.7607960.380398
1990.5839770.8320450.416023
2000.575930.848140.42407
2010.5518850.8962290.448115
2020.5199230.9601540.480077
2030.4890330.9780650.510967
2040.5881990.8236020.411801
2050.5638370.8723260.436163
2060.5268290.9463410.473171
2070.5374580.9250830.462542
2080.4961880.9923770.503812
2090.7306530.5386940.269347
2100.7008360.5983290.299164
2110.70150.5969990.2985
2120.6998380.6003240.300162
2130.6671120.6657760.332888
2140.7110690.5778610.288931
2150.675150.64970.32485
2160.652360.695280.34764
2170.6168550.7662910.383145
2180.6175560.7648870.382444
2190.6146360.7707280.385364
2200.5726250.854750.427375
2210.5401020.9197960.459898
2220.6034060.7931870.396594
2230.6084440.7831120.391556
2240.8119160.3761680.188084
2250.913420.173160.0865798
2260.8973890.2052230.102611
2270.8884260.2231470.111574
2280.8646380.2707230.135362
2290.8504740.2990520.149526
2300.8283160.3433670.171684
2310.7947540.4104920.205246
2320.7671020.4657960.232898
2330.7265130.5469750.273487
2340.6832690.6334630.316731
2350.6376850.7246310.362315
2360.5961330.8077350.403867
2370.5654930.8690140.434507
2380.5320490.9359010.467951
2390.5717960.8564070.428204
2400.564320.871360.43568
2410.5215690.9568630.478431
2420.519750.9605010.48025
2430.4622150.924430.537785
2440.4168340.8336680.583166
2450.423020.8460410.57698
2460.372460.7449190.62754
2470.383180.7663610.61682
2480.330040.6600790.66996
2490.274960.5499190.72504
2500.2516030.5032050.748397
2510.2090090.4180180.790991
2520.2109030.4218050.789097
2530.2101170.4202350.789883
2540.3082660.6165330.691734
2550.4297810.8595630.570219
2560.3572270.7144530.642773
2570.5410570.9178860.458943
2580.4631170.9262350.536883
2590.3797310.7594620.620269
2600.3812880.7625770.618712
2610.3221180.6442350.677882
2620.2460.4920.754
2630.2916860.5833710.708314
2640.5091070.9817860.490893
2650.5926980.8146050.407302
2660.8028670.3942650.197133

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
12 & 0.378406 & 0.756812 & 0.621594 \tabularnewline
13 & 0.225139 & 0.450277 & 0.774861 \tabularnewline
14 & 0.122494 & 0.244988 & 0.877506 \tabularnewline
15 & 0.0633333 & 0.126667 & 0.936667 \tabularnewline
16 & 0.031082 & 0.0621641 & 0.968918 \tabularnewline
17 & 0.0140607 & 0.0281214 & 0.985939 \tabularnewline
18 & 0.0455451 & 0.0910902 & 0.954455 \tabularnewline
19 & 0.0265473 & 0.0530947 & 0.973453 \tabularnewline
20 & 0.0138226 & 0.0276452 & 0.986177 \tabularnewline
21 & 0.0206799 & 0.0413598 & 0.97932 \tabularnewline
22 & 0.0114663 & 0.0229327 & 0.988534 \tabularnewline
23 & 0.00699009 & 0.0139802 & 0.99301 \tabularnewline
24 & 0.00363499 & 0.00726997 & 0.996365 \tabularnewline
25 & 0.00282672 & 0.00565343 & 0.997173 \tabularnewline
26 & 0.294717 & 0.589434 & 0.705283 \tabularnewline
27 & 0.25386 & 0.50772 & 0.74614 \tabularnewline
28 & 0.209165 & 0.418331 & 0.790835 \tabularnewline
29 & 0.177386 & 0.354772 & 0.822614 \tabularnewline
30 & 0.181489 & 0.362979 & 0.818511 \tabularnewline
31 & 0.271549 & 0.543098 & 0.728451 \tabularnewline
32 & 0.259358 & 0.518716 & 0.740642 \tabularnewline
33 & 0.21547 & 0.430939 & 0.78453 \tabularnewline
34 & 0.238667 & 0.477335 & 0.761333 \tabularnewline
35 & 0.246369 & 0.492739 & 0.753631 \tabularnewline
36 & 0.235367 & 0.470734 & 0.764633 \tabularnewline
37 & 0.532552 & 0.934895 & 0.467448 \tabularnewline
38 & 0.483304 & 0.966608 & 0.516696 \tabularnewline
39 & 0.427879 & 0.855758 & 0.572121 \tabularnewline
40 & 0.375964 & 0.751927 & 0.624036 \tabularnewline
41 & 0.359376 & 0.718752 & 0.640624 \tabularnewline
42 & 0.311204 & 0.622409 & 0.688796 \tabularnewline
43 & 0.266169 & 0.532339 & 0.733831 \tabularnewline
44 & 0.234001 & 0.468002 & 0.765999 \tabularnewline
45 & 0.325703 & 0.651405 & 0.674297 \tabularnewline
46 & 0.335107 & 0.670214 & 0.664893 \tabularnewline
47 & 0.326277 & 0.652554 & 0.673723 \tabularnewline
48 & 0.287684 & 0.575367 & 0.712316 \tabularnewline
49 & 0.27336 & 0.54672 & 0.72664 \tabularnewline
50 & 0.321632 & 0.643264 & 0.678368 \tabularnewline
51 & 0.279539 & 0.559079 & 0.720461 \tabularnewline
52 & 0.240231 & 0.480462 & 0.759769 \tabularnewline
53 & 0.220049 & 0.440099 & 0.779951 \tabularnewline
54 & 0.233957 & 0.467915 & 0.766043 \tabularnewline
55 & 0.199209 & 0.398417 & 0.800791 \tabularnewline
56 & 0.173555 & 0.34711 & 0.826445 \tabularnewline
57 & 0.15517 & 0.310339 & 0.84483 \tabularnewline
58 & 0.14473 & 0.289459 & 0.85527 \tabularnewline
59 & 0.273351 & 0.546702 & 0.726649 \tabularnewline
60 & 0.237033 & 0.474066 & 0.762967 \tabularnewline
61 & 0.206232 & 0.412463 & 0.793768 \tabularnewline
62 & 0.193803 & 0.387607 & 0.806197 \tabularnewline
63 & 0.212097 & 0.424194 & 0.787903 \tabularnewline
64 & 0.240508 & 0.481017 & 0.759492 \tabularnewline
65 & 0.225386 & 0.450771 & 0.774614 \tabularnewline
66 & 0.19599 & 0.39198 & 0.80401 \tabularnewline
67 & 0.167459 & 0.334919 & 0.832541 \tabularnewline
68 & 0.174543 & 0.349085 & 0.825457 \tabularnewline
69 & 0.225789 & 0.451578 & 0.774211 \tabularnewline
70 & 0.208862 & 0.417724 & 0.791138 \tabularnewline
71 & 0.180083 & 0.360166 & 0.819917 \tabularnewline
72 & 0.172513 & 0.345026 & 0.827487 \tabularnewline
73 & 0.159847 & 0.319693 & 0.840153 \tabularnewline
74 & 0.136458 & 0.272916 & 0.863542 \tabularnewline
75 & 0.127137 & 0.254274 & 0.872863 \tabularnewline
76 & 0.241151 & 0.482302 & 0.758849 \tabularnewline
77 & 0.237153 & 0.474306 & 0.762847 \tabularnewline
78 & 0.22103 & 0.44206 & 0.77897 \tabularnewline
79 & 0.271796 & 0.543591 & 0.728204 \tabularnewline
80 & 0.278968 & 0.557936 & 0.721032 \tabularnewline
81 & 0.258574 & 0.517148 & 0.741426 \tabularnewline
82 & 0.231044 & 0.462089 & 0.768956 \tabularnewline
83 & 0.206416 & 0.412832 & 0.793584 \tabularnewline
84 & 0.186791 & 0.373581 & 0.813209 \tabularnewline
85 & 0.302906 & 0.605813 & 0.697094 \tabularnewline
86 & 0.270916 & 0.541833 & 0.729084 \tabularnewline
87 & 0.272964 & 0.545929 & 0.727036 \tabularnewline
88 & 0.248547 & 0.497093 & 0.751453 \tabularnewline
89 & 0.226549 & 0.453098 & 0.773451 \tabularnewline
90 & 0.2802 & 0.560401 & 0.7198 \tabularnewline
91 & 0.297543 & 0.595086 & 0.702457 \tabularnewline
92 & 0.318914 & 0.637828 & 0.681086 \tabularnewline
93 & 0.291514 & 0.583028 & 0.708486 \tabularnewline
94 & 0.263421 & 0.526842 & 0.736579 \tabularnewline
95 & 0.235975 & 0.471951 & 0.764025 \tabularnewline
96 & 0.224751 & 0.449503 & 0.775249 \tabularnewline
97 & 0.208704 & 0.417409 & 0.791296 \tabularnewline
98 & 0.18588 & 0.371759 & 0.81412 \tabularnewline
99 & 0.161925 & 0.32385 & 0.838075 \tabularnewline
100 & 0.146023 & 0.292045 & 0.853977 \tabularnewline
101 & 0.157799 & 0.315599 & 0.842201 \tabularnewline
102 & 0.137497 & 0.274993 & 0.862503 \tabularnewline
103 & 0.133138 & 0.266275 & 0.866862 \tabularnewline
104 & 0.116034 & 0.232068 & 0.883966 \tabularnewline
105 & 0.109324 & 0.218648 & 0.890676 \tabularnewline
106 & 0.109667 & 0.219335 & 0.890333 \tabularnewline
107 & 0.223104 & 0.446208 & 0.776896 \tabularnewline
108 & 0.281425 & 0.56285 & 0.718575 \tabularnewline
109 & 0.286404 & 0.572808 & 0.713596 \tabularnewline
110 & 0.262255 & 0.524511 & 0.737745 \tabularnewline
111 & 0.280557 & 0.561113 & 0.719443 \tabularnewline
112 & 0.282779 & 0.565558 & 0.717221 \tabularnewline
113 & 0.255658 & 0.511316 & 0.744342 \tabularnewline
114 & 0.231035 & 0.462071 & 0.768965 \tabularnewline
115 & 0.207837 & 0.415673 & 0.792163 \tabularnewline
116 & 0.205869 & 0.411738 & 0.794131 \tabularnewline
117 & 0.210244 & 0.420487 & 0.789756 \tabularnewline
118 & 0.189244 & 0.378487 & 0.810756 \tabularnewline
119 & 0.16986 & 0.33972 & 0.83014 \tabularnewline
120 & 0.155668 & 0.311336 & 0.844332 \tabularnewline
121 & 0.155035 & 0.31007 & 0.844965 \tabularnewline
122 & 0.137575 & 0.275151 & 0.862425 \tabularnewline
123 & 0.13178 & 0.263561 & 0.86822 \tabularnewline
124 & 0.114028 & 0.228055 & 0.885972 \tabularnewline
125 & 0.124244 & 0.248489 & 0.875756 \tabularnewline
126 & 0.112264 & 0.224528 & 0.887736 \tabularnewline
127 & 0.132112 & 0.264224 & 0.867888 \tabularnewline
128 & 0.119878 & 0.239755 & 0.880122 \tabularnewline
129 & 0.139451 & 0.278902 & 0.860549 \tabularnewline
130 & 0.120762 & 0.241523 & 0.879238 \tabularnewline
131 & 0.104526 & 0.209053 & 0.895474 \tabularnewline
132 & 0.166094 & 0.332188 & 0.833906 \tabularnewline
133 & 0.174735 & 0.34947 & 0.825265 \tabularnewline
134 & 0.32364 & 0.64728 & 0.67636 \tabularnewline
135 & 0.324109 & 0.648218 & 0.675891 \tabularnewline
136 & 0.437866 & 0.875732 & 0.562134 \tabularnewline
137 & 0.422349 & 0.844698 & 0.577651 \tabularnewline
138 & 0.455724 & 0.911448 & 0.544276 \tabularnewline
139 & 0.477072 & 0.954144 & 0.522928 \tabularnewline
140 & 0.463139 & 0.926277 & 0.536861 \tabularnewline
141 & 0.448585 & 0.89717 & 0.551415 \tabularnewline
142 & 0.421033 & 0.842065 & 0.578967 \tabularnewline
143 & 0.437186 & 0.874373 & 0.562814 \tabularnewline
144 & 0.403864 & 0.807727 & 0.596136 \tabularnewline
145 & 0.374428 & 0.748856 & 0.625572 \tabularnewline
146 & 0.436353 & 0.872707 & 0.563647 \tabularnewline
147 & 0.594996 & 0.810008 & 0.405004 \tabularnewline
148 & 0.560859 & 0.878283 & 0.439141 \tabularnewline
149 & 0.586047 & 0.827907 & 0.413953 \tabularnewline
150 & 0.552755 & 0.894491 & 0.447245 \tabularnewline
151 & 0.573783 & 0.852434 & 0.426217 \tabularnewline
152 & 0.589852 & 0.820295 & 0.410148 \tabularnewline
153 & 0.561681 & 0.876639 & 0.438319 \tabularnewline
154 & 0.552911 & 0.894178 & 0.447089 \tabularnewline
155 & 0.562577 & 0.874845 & 0.437423 \tabularnewline
156 & 0.555123 & 0.889753 & 0.444877 \tabularnewline
157 & 0.522937 & 0.954125 & 0.477063 \tabularnewline
158 & 0.501782 & 0.996436 & 0.498218 \tabularnewline
159 & 0.50274 & 0.99452 & 0.49726 \tabularnewline
160 & 0.471158 & 0.942317 & 0.528842 \tabularnewline
161 & 0.446713 & 0.893425 & 0.553287 \tabularnewline
162 & 0.486616 & 0.973232 & 0.513384 \tabularnewline
163 & 0.45572 & 0.911439 & 0.54428 \tabularnewline
164 & 0.422007 & 0.844014 & 0.577993 \tabularnewline
165 & 0.391645 & 0.783289 & 0.608355 \tabularnewline
166 & 0.360238 & 0.720476 & 0.639762 \tabularnewline
167 & 0.343505 & 0.68701 & 0.656495 \tabularnewline
168 & 0.341684 & 0.683367 & 0.658316 \tabularnewline
169 & 0.391436 & 0.782873 & 0.608564 \tabularnewline
170 & 0.408762 & 0.817524 & 0.591238 \tabularnewline
171 & 0.381908 & 0.763816 & 0.618092 \tabularnewline
172 & 0.471307 & 0.942614 & 0.528693 \tabularnewline
173 & 0.444431 & 0.888862 & 0.555569 \tabularnewline
174 & 0.411858 & 0.823716 & 0.588142 \tabularnewline
175 & 0.380257 & 0.760514 & 0.619743 \tabularnewline
176 & 0.358844 & 0.717688 & 0.641156 \tabularnewline
177 & 0.333769 & 0.667539 & 0.666231 \tabularnewline
178 & 0.366648 & 0.733296 & 0.633352 \tabularnewline
179 & 0.449578 & 0.899157 & 0.550422 \tabularnewline
180 & 0.470705 & 0.94141 & 0.529295 \tabularnewline
181 & 0.50206 & 0.995881 & 0.49794 \tabularnewline
182 & 0.549255 & 0.901491 & 0.450745 \tabularnewline
183 & 0.522702 & 0.954596 & 0.477298 \tabularnewline
184 & 0.559003 & 0.881994 & 0.440997 \tabularnewline
185 & 0.599519 & 0.800962 & 0.400481 \tabularnewline
186 & 0.584862 & 0.830277 & 0.415138 \tabularnewline
187 & 0.569582 & 0.860837 & 0.430418 \tabularnewline
188 & 0.554443 & 0.891114 & 0.445557 \tabularnewline
189 & 0.516853 & 0.966295 & 0.483147 \tabularnewline
190 & 0.546231 & 0.907537 & 0.453769 \tabularnewline
191 & 0.511784 & 0.976431 & 0.488216 \tabularnewline
192 & 0.620367 & 0.759266 & 0.379633 \tabularnewline
193 & 0.603464 & 0.793073 & 0.396536 \tabularnewline
194 & 0.579766 & 0.840467 & 0.420234 \tabularnewline
195 & 0.707514 & 0.584971 & 0.292486 \tabularnewline
196 & 0.67441 & 0.651181 & 0.32559 \tabularnewline
197 & 0.638334 & 0.723331 & 0.361666 \tabularnewline
198 & 0.619602 & 0.760796 & 0.380398 \tabularnewline
199 & 0.583977 & 0.832045 & 0.416023 \tabularnewline
200 & 0.57593 & 0.84814 & 0.42407 \tabularnewline
201 & 0.551885 & 0.896229 & 0.448115 \tabularnewline
202 & 0.519923 & 0.960154 & 0.480077 \tabularnewline
203 & 0.489033 & 0.978065 & 0.510967 \tabularnewline
204 & 0.588199 & 0.823602 & 0.411801 \tabularnewline
205 & 0.563837 & 0.872326 & 0.436163 \tabularnewline
206 & 0.526829 & 0.946341 & 0.473171 \tabularnewline
207 & 0.537458 & 0.925083 & 0.462542 \tabularnewline
208 & 0.496188 & 0.992377 & 0.503812 \tabularnewline
209 & 0.730653 & 0.538694 & 0.269347 \tabularnewline
210 & 0.700836 & 0.598329 & 0.299164 \tabularnewline
211 & 0.7015 & 0.596999 & 0.2985 \tabularnewline
212 & 0.699838 & 0.600324 & 0.300162 \tabularnewline
213 & 0.667112 & 0.665776 & 0.332888 \tabularnewline
214 & 0.711069 & 0.577861 & 0.288931 \tabularnewline
215 & 0.67515 & 0.6497 & 0.32485 \tabularnewline
216 & 0.65236 & 0.69528 & 0.34764 \tabularnewline
217 & 0.616855 & 0.766291 & 0.383145 \tabularnewline
218 & 0.617556 & 0.764887 & 0.382444 \tabularnewline
219 & 0.614636 & 0.770728 & 0.385364 \tabularnewline
220 & 0.572625 & 0.85475 & 0.427375 \tabularnewline
221 & 0.540102 & 0.919796 & 0.459898 \tabularnewline
222 & 0.603406 & 0.793187 & 0.396594 \tabularnewline
223 & 0.608444 & 0.783112 & 0.391556 \tabularnewline
224 & 0.811916 & 0.376168 & 0.188084 \tabularnewline
225 & 0.91342 & 0.17316 & 0.0865798 \tabularnewline
226 & 0.897389 & 0.205223 & 0.102611 \tabularnewline
227 & 0.888426 & 0.223147 & 0.111574 \tabularnewline
228 & 0.864638 & 0.270723 & 0.135362 \tabularnewline
229 & 0.850474 & 0.299052 & 0.149526 \tabularnewline
230 & 0.828316 & 0.343367 & 0.171684 \tabularnewline
231 & 0.794754 & 0.410492 & 0.205246 \tabularnewline
232 & 0.767102 & 0.465796 & 0.232898 \tabularnewline
233 & 0.726513 & 0.546975 & 0.273487 \tabularnewline
234 & 0.683269 & 0.633463 & 0.316731 \tabularnewline
235 & 0.637685 & 0.724631 & 0.362315 \tabularnewline
236 & 0.596133 & 0.807735 & 0.403867 \tabularnewline
237 & 0.565493 & 0.869014 & 0.434507 \tabularnewline
238 & 0.532049 & 0.935901 & 0.467951 \tabularnewline
239 & 0.571796 & 0.856407 & 0.428204 \tabularnewline
240 & 0.56432 & 0.87136 & 0.43568 \tabularnewline
241 & 0.521569 & 0.956863 & 0.478431 \tabularnewline
242 & 0.51975 & 0.960501 & 0.48025 \tabularnewline
243 & 0.462215 & 0.92443 & 0.537785 \tabularnewline
244 & 0.416834 & 0.833668 & 0.583166 \tabularnewline
245 & 0.42302 & 0.846041 & 0.57698 \tabularnewline
246 & 0.37246 & 0.744919 & 0.62754 \tabularnewline
247 & 0.38318 & 0.766361 & 0.61682 \tabularnewline
248 & 0.33004 & 0.660079 & 0.66996 \tabularnewline
249 & 0.27496 & 0.549919 & 0.72504 \tabularnewline
250 & 0.251603 & 0.503205 & 0.748397 \tabularnewline
251 & 0.209009 & 0.418018 & 0.790991 \tabularnewline
252 & 0.210903 & 0.421805 & 0.789097 \tabularnewline
253 & 0.210117 & 0.420235 & 0.789883 \tabularnewline
254 & 0.308266 & 0.616533 & 0.691734 \tabularnewline
255 & 0.429781 & 0.859563 & 0.570219 \tabularnewline
256 & 0.357227 & 0.714453 & 0.642773 \tabularnewline
257 & 0.541057 & 0.917886 & 0.458943 \tabularnewline
258 & 0.463117 & 0.926235 & 0.536883 \tabularnewline
259 & 0.379731 & 0.759462 & 0.620269 \tabularnewline
260 & 0.381288 & 0.762577 & 0.618712 \tabularnewline
261 & 0.322118 & 0.644235 & 0.677882 \tabularnewline
262 & 0.246 & 0.492 & 0.754 \tabularnewline
263 & 0.291686 & 0.583371 & 0.708314 \tabularnewline
264 & 0.509107 & 0.981786 & 0.490893 \tabularnewline
265 & 0.592698 & 0.814605 & 0.407302 \tabularnewline
266 & 0.802867 & 0.394265 & 0.197133 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=272410&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]12[/C][C]0.378406[/C][C]0.756812[/C][C]0.621594[/C][/ROW]
[ROW][C]13[/C][C]0.225139[/C][C]0.450277[/C][C]0.774861[/C][/ROW]
[ROW][C]14[/C][C]0.122494[/C][C]0.244988[/C][C]0.877506[/C][/ROW]
[ROW][C]15[/C][C]0.0633333[/C][C]0.126667[/C][C]0.936667[/C][/ROW]
[ROW][C]16[/C][C]0.031082[/C][C]0.0621641[/C][C]0.968918[/C][/ROW]
[ROW][C]17[/C][C]0.0140607[/C][C]0.0281214[/C][C]0.985939[/C][/ROW]
[ROW][C]18[/C][C]0.0455451[/C][C]0.0910902[/C][C]0.954455[/C][/ROW]
[ROW][C]19[/C][C]0.0265473[/C][C]0.0530947[/C][C]0.973453[/C][/ROW]
[ROW][C]20[/C][C]0.0138226[/C][C]0.0276452[/C][C]0.986177[/C][/ROW]
[ROW][C]21[/C][C]0.0206799[/C][C]0.0413598[/C][C]0.97932[/C][/ROW]
[ROW][C]22[/C][C]0.0114663[/C][C]0.0229327[/C][C]0.988534[/C][/ROW]
[ROW][C]23[/C][C]0.00699009[/C][C]0.0139802[/C][C]0.99301[/C][/ROW]
[ROW][C]24[/C][C]0.00363499[/C][C]0.00726997[/C][C]0.996365[/C][/ROW]
[ROW][C]25[/C][C]0.00282672[/C][C]0.00565343[/C][C]0.997173[/C][/ROW]
[ROW][C]26[/C][C]0.294717[/C][C]0.589434[/C][C]0.705283[/C][/ROW]
[ROW][C]27[/C][C]0.25386[/C][C]0.50772[/C][C]0.74614[/C][/ROW]
[ROW][C]28[/C][C]0.209165[/C][C]0.418331[/C][C]0.790835[/C][/ROW]
[ROW][C]29[/C][C]0.177386[/C][C]0.354772[/C][C]0.822614[/C][/ROW]
[ROW][C]30[/C][C]0.181489[/C][C]0.362979[/C][C]0.818511[/C][/ROW]
[ROW][C]31[/C][C]0.271549[/C][C]0.543098[/C][C]0.728451[/C][/ROW]
[ROW][C]32[/C][C]0.259358[/C][C]0.518716[/C][C]0.740642[/C][/ROW]
[ROW][C]33[/C][C]0.21547[/C][C]0.430939[/C][C]0.78453[/C][/ROW]
[ROW][C]34[/C][C]0.238667[/C][C]0.477335[/C][C]0.761333[/C][/ROW]
[ROW][C]35[/C][C]0.246369[/C][C]0.492739[/C][C]0.753631[/C][/ROW]
[ROW][C]36[/C][C]0.235367[/C][C]0.470734[/C][C]0.764633[/C][/ROW]
[ROW][C]37[/C][C]0.532552[/C][C]0.934895[/C][C]0.467448[/C][/ROW]
[ROW][C]38[/C][C]0.483304[/C][C]0.966608[/C][C]0.516696[/C][/ROW]
[ROW][C]39[/C][C]0.427879[/C][C]0.855758[/C][C]0.572121[/C][/ROW]
[ROW][C]40[/C][C]0.375964[/C][C]0.751927[/C][C]0.624036[/C][/ROW]
[ROW][C]41[/C][C]0.359376[/C][C]0.718752[/C][C]0.640624[/C][/ROW]
[ROW][C]42[/C][C]0.311204[/C][C]0.622409[/C][C]0.688796[/C][/ROW]
[ROW][C]43[/C][C]0.266169[/C][C]0.532339[/C][C]0.733831[/C][/ROW]
[ROW][C]44[/C][C]0.234001[/C][C]0.468002[/C][C]0.765999[/C][/ROW]
[ROW][C]45[/C][C]0.325703[/C][C]0.651405[/C][C]0.674297[/C][/ROW]
[ROW][C]46[/C][C]0.335107[/C][C]0.670214[/C][C]0.664893[/C][/ROW]
[ROW][C]47[/C][C]0.326277[/C][C]0.652554[/C][C]0.673723[/C][/ROW]
[ROW][C]48[/C][C]0.287684[/C][C]0.575367[/C][C]0.712316[/C][/ROW]
[ROW][C]49[/C][C]0.27336[/C][C]0.54672[/C][C]0.72664[/C][/ROW]
[ROW][C]50[/C][C]0.321632[/C][C]0.643264[/C][C]0.678368[/C][/ROW]
[ROW][C]51[/C][C]0.279539[/C][C]0.559079[/C][C]0.720461[/C][/ROW]
[ROW][C]52[/C][C]0.240231[/C][C]0.480462[/C][C]0.759769[/C][/ROW]
[ROW][C]53[/C][C]0.220049[/C][C]0.440099[/C][C]0.779951[/C][/ROW]
[ROW][C]54[/C][C]0.233957[/C][C]0.467915[/C][C]0.766043[/C][/ROW]
[ROW][C]55[/C][C]0.199209[/C][C]0.398417[/C][C]0.800791[/C][/ROW]
[ROW][C]56[/C][C]0.173555[/C][C]0.34711[/C][C]0.826445[/C][/ROW]
[ROW][C]57[/C][C]0.15517[/C][C]0.310339[/C][C]0.84483[/C][/ROW]
[ROW][C]58[/C][C]0.14473[/C][C]0.289459[/C][C]0.85527[/C][/ROW]
[ROW][C]59[/C][C]0.273351[/C][C]0.546702[/C][C]0.726649[/C][/ROW]
[ROW][C]60[/C][C]0.237033[/C][C]0.474066[/C][C]0.762967[/C][/ROW]
[ROW][C]61[/C][C]0.206232[/C][C]0.412463[/C][C]0.793768[/C][/ROW]
[ROW][C]62[/C][C]0.193803[/C][C]0.387607[/C][C]0.806197[/C][/ROW]
[ROW][C]63[/C][C]0.212097[/C][C]0.424194[/C][C]0.787903[/C][/ROW]
[ROW][C]64[/C][C]0.240508[/C][C]0.481017[/C][C]0.759492[/C][/ROW]
[ROW][C]65[/C][C]0.225386[/C][C]0.450771[/C][C]0.774614[/C][/ROW]
[ROW][C]66[/C][C]0.19599[/C][C]0.39198[/C][C]0.80401[/C][/ROW]
[ROW][C]67[/C][C]0.167459[/C][C]0.334919[/C][C]0.832541[/C][/ROW]
[ROW][C]68[/C][C]0.174543[/C][C]0.349085[/C][C]0.825457[/C][/ROW]
[ROW][C]69[/C][C]0.225789[/C][C]0.451578[/C][C]0.774211[/C][/ROW]
[ROW][C]70[/C][C]0.208862[/C][C]0.417724[/C][C]0.791138[/C][/ROW]
[ROW][C]71[/C][C]0.180083[/C][C]0.360166[/C][C]0.819917[/C][/ROW]
[ROW][C]72[/C][C]0.172513[/C][C]0.345026[/C][C]0.827487[/C][/ROW]
[ROW][C]73[/C][C]0.159847[/C][C]0.319693[/C][C]0.840153[/C][/ROW]
[ROW][C]74[/C][C]0.136458[/C][C]0.272916[/C][C]0.863542[/C][/ROW]
[ROW][C]75[/C][C]0.127137[/C][C]0.254274[/C][C]0.872863[/C][/ROW]
[ROW][C]76[/C][C]0.241151[/C][C]0.482302[/C][C]0.758849[/C][/ROW]
[ROW][C]77[/C][C]0.237153[/C][C]0.474306[/C][C]0.762847[/C][/ROW]
[ROW][C]78[/C][C]0.22103[/C][C]0.44206[/C][C]0.77897[/C][/ROW]
[ROW][C]79[/C][C]0.271796[/C][C]0.543591[/C][C]0.728204[/C][/ROW]
[ROW][C]80[/C][C]0.278968[/C][C]0.557936[/C][C]0.721032[/C][/ROW]
[ROW][C]81[/C][C]0.258574[/C][C]0.517148[/C][C]0.741426[/C][/ROW]
[ROW][C]82[/C][C]0.231044[/C][C]0.462089[/C][C]0.768956[/C][/ROW]
[ROW][C]83[/C][C]0.206416[/C][C]0.412832[/C][C]0.793584[/C][/ROW]
[ROW][C]84[/C][C]0.186791[/C][C]0.373581[/C][C]0.813209[/C][/ROW]
[ROW][C]85[/C][C]0.302906[/C][C]0.605813[/C][C]0.697094[/C][/ROW]
[ROW][C]86[/C][C]0.270916[/C][C]0.541833[/C][C]0.729084[/C][/ROW]
[ROW][C]87[/C][C]0.272964[/C][C]0.545929[/C][C]0.727036[/C][/ROW]
[ROW][C]88[/C][C]0.248547[/C][C]0.497093[/C][C]0.751453[/C][/ROW]
[ROW][C]89[/C][C]0.226549[/C][C]0.453098[/C][C]0.773451[/C][/ROW]
[ROW][C]90[/C][C]0.2802[/C][C]0.560401[/C][C]0.7198[/C][/ROW]
[ROW][C]91[/C][C]0.297543[/C][C]0.595086[/C][C]0.702457[/C][/ROW]
[ROW][C]92[/C][C]0.318914[/C][C]0.637828[/C][C]0.681086[/C][/ROW]
[ROW][C]93[/C][C]0.291514[/C][C]0.583028[/C][C]0.708486[/C][/ROW]
[ROW][C]94[/C][C]0.263421[/C][C]0.526842[/C][C]0.736579[/C][/ROW]
[ROW][C]95[/C][C]0.235975[/C][C]0.471951[/C][C]0.764025[/C][/ROW]
[ROW][C]96[/C][C]0.224751[/C][C]0.449503[/C][C]0.775249[/C][/ROW]
[ROW][C]97[/C][C]0.208704[/C][C]0.417409[/C][C]0.791296[/C][/ROW]
[ROW][C]98[/C][C]0.18588[/C][C]0.371759[/C][C]0.81412[/C][/ROW]
[ROW][C]99[/C][C]0.161925[/C][C]0.32385[/C][C]0.838075[/C][/ROW]
[ROW][C]100[/C][C]0.146023[/C][C]0.292045[/C][C]0.853977[/C][/ROW]
[ROW][C]101[/C][C]0.157799[/C][C]0.315599[/C][C]0.842201[/C][/ROW]
[ROW][C]102[/C][C]0.137497[/C][C]0.274993[/C][C]0.862503[/C][/ROW]
[ROW][C]103[/C][C]0.133138[/C][C]0.266275[/C][C]0.866862[/C][/ROW]
[ROW][C]104[/C][C]0.116034[/C][C]0.232068[/C][C]0.883966[/C][/ROW]
[ROW][C]105[/C][C]0.109324[/C][C]0.218648[/C][C]0.890676[/C][/ROW]
[ROW][C]106[/C][C]0.109667[/C][C]0.219335[/C][C]0.890333[/C][/ROW]
[ROW][C]107[/C][C]0.223104[/C][C]0.446208[/C][C]0.776896[/C][/ROW]
[ROW][C]108[/C][C]0.281425[/C][C]0.56285[/C][C]0.718575[/C][/ROW]
[ROW][C]109[/C][C]0.286404[/C][C]0.572808[/C][C]0.713596[/C][/ROW]
[ROW][C]110[/C][C]0.262255[/C][C]0.524511[/C][C]0.737745[/C][/ROW]
[ROW][C]111[/C][C]0.280557[/C][C]0.561113[/C][C]0.719443[/C][/ROW]
[ROW][C]112[/C][C]0.282779[/C][C]0.565558[/C][C]0.717221[/C][/ROW]
[ROW][C]113[/C][C]0.255658[/C][C]0.511316[/C][C]0.744342[/C][/ROW]
[ROW][C]114[/C][C]0.231035[/C][C]0.462071[/C][C]0.768965[/C][/ROW]
[ROW][C]115[/C][C]0.207837[/C][C]0.415673[/C][C]0.792163[/C][/ROW]
[ROW][C]116[/C][C]0.205869[/C][C]0.411738[/C][C]0.794131[/C][/ROW]
[ROW][C]117[/C][C]0.210244[/C][C]0.420487[/C][C]0.789756[/C][/ROW]
[ROW][C]118[/C][C]0.189244[/C][C]0.378487[/C][C]0.810756[/C][/ROW]
[ROW][C]119[/C][C]0.16986[/C][C]0.33972[/C][C]0.83014[/C][/ROW]
[ROW][C]120[/C][C]0.155668[/C][C]0.311336[/C][C]0.844332[/C][/ROW]
[ROW][C]121[/C][C]0.155035[/C][C]0.31007[/C][C]0.844965[/C][/ROW]
[ROW][C]122[/C][C]0.137575[/C][C]0.275151[/C][C]0.862425[/C][/ROW]
[ROW][C]123[/C][C]0.13178[/C][C]0.263561[/C][C]0.86822[/C][/ROW]
[ROW][C]124[/C][C]0.114028[/C][C]0.228055[/C][C]0.885972[/C][/ROW]
[ROW][C]125[/C][C]0.124244[/C][C]0.248489[/C][C]0.875756[/C][/ROW]
[ROW][C]126[/C][C]0.112264[/C][C]0.224528[/C][C]0.887736[/C][/ROW]
[ROW][C]127[/C][C]0.132112[/C][C]0.264224[/C][C]0.867888[/C][/ROW]
[ROW][C]128[/C][C]0.119878[/C][C]0.239755[/C][C]0.880122[/C][/ROW]
[ROW][C]129[/C][C]0.139451[/C][C]0.278902[/C][C]0.860549[/C][/ROW]
[ROW][C]130[/C][C]0.120762[/C][C]0.241523[/C][C]0.879238[/C][/ROW]
[ROW][C]131[/C][C]0.104526[/C][C]0.209053[/C][C]0.895474[/C][/ROW]
[ROW][C]132[/C][C]0.166094[/C][C]0.332188[/C][C]0.833906[/C][/ROW]
[ROW][C]133[/C][C]0.174735[/C][C]0.34947[/C][C]0.825265[/C][/ROW]
[ROW][C]134[/C][C]0.32364[/C][C]0.64728[/C][C]0.67636[/C][/ROW]
[ROW][C]135[/C][C]0.324109[/C][C]0.648218[/C][C]0.675891[/C][/ROW]
[ROW][C]136[/C][C]0.437866[/C][C]0.875732[/C][C]0.562134[/C][/ROW]
[ROW][C]137[/C][C]0.422349[/C][C]0.844698[/C][C]0.577651[/C][/ROW]
[ROW][C]138[/C][C]0.455724[/C][C]0.911448[/C][C]0.544276[/C][/ROW]
[ROW][C]139[/C][C]0.477072[/C][C]0.954144[/C][C]0.522928[/C][/ROW]
[ROW][C]140[/C][C]0.463139[/C][C]0.926277[/C][C]0.536861[/C][/ROW]
[ROW][C]141[/C][C]0.448585[/C][C]0.89717[/C][C]0.551415[/C][/ROW]
[ROW][C]142[/C][C]0.421033[/C][C]0.842065[/C][C]0.578967[/C][/ROW]
[ROW][C]143[/C][C]0.437186[/C][C]0.874373[/C][C]0.562814[/C][/ROW]
[ROW][C]144[/C][C]0.403864[/C][C]0.807727[/C][C]0.596136[/C][/ROW]
[ROW][C]145[/C][C]0.374428[/C][C]0.748856[/C][C]0.625572[/C][/ROW]
[ROW][C]146[/C][C]0.436353[/C][C]0.872707[/C][C]0.563647[/C][/ROW]
[ROW][C]147[/C][C]0.594996[/C][C]0.810008[/C][C]0.405004[/C][/ROW]
[ROW][C]148[/C][C]0.560859[/C][C]0.878283[/C][C]0.439141[/C][/ROW]
[ROW][C]149[/C][C]0.586047[/C][C]0.827907[/C][C]0.413953[/C][/ROW]
[ROW][C]150[/C][C]0.552755[/C][C]0.894491[/C][C]0.447245[/C][/ROW]
[ROW][C]151[/C][C]0.573783[/C][C]0.852434[/C][C]0.426217[/C][/ROW]
[ROW][C]152[/C][C]0.589852[/C][C]0.820295[/C][C]0.410148[/C][/ROW]
[ROW][C]153[/C][C]0.561681[/C][C]0.876639[/C][C]0.438319[/C][/ROW]
[ROW][C]154[/C][C]0.552911[/C][C]0.894178[/C][C]0.447089[/C][/ROW]
[ROW][C]155[/C][C]0.562577[/C][C]0.874845[/C][C]0.437423[/C][/ROW]
[ROW][C]156[/C][C]0.555123[/C][C]0.889753[/C][C]0.444877[/C][/ROW]
[ROW][C]157[/C][C]0.522937[/C][C]0.954125[/C][C]0.477063[/C][/ROW]
[ROW][C]158[/C][C]0.501782[/C][C]0.996436[/C][C]0.498218[/C][/ROW]
[ROW][C]159[/C][C]0.50274[/C][C]0.99452[/C][C]0.49726[/C][/ROW]
[ROW][C]160[/C][C]0.471158[/C][C]0.942317[/C][C]0.528842[/C][/ROW]
[ROW][C]161[/C][C]0.446713[/C][C]0.893425[/C][C]0.553287[/C][/ROW]
[ROW][C]162[/C][C]0.486616[/C][C]0.973232[/C][C]0.513384[/C][/ROW]
[ROW][C]163[/C][C]0.45572[/C][C]0.911439[/C][C]0.54428[/C][/ROW]
[ROW][C]164[/C][C]0.422007[/C][C]0.844014[/C][C]0.577993[/C][/ROW]
[ROW][C]165[/C][C]0.391645[/C][C]0.783289[/C][C]0.608355[/C][/ROW]
[ROW][C]166[/C][C]0.360238[/C][C]0.720476[/C][C]0.639762[/C][/ROW]
[ROW][C]167[/C][C]0.343505[/C][C]0.68701[/C][C]0.656495[/C][/ROW]
[ROW][C]168[/C][C]0.341684[/C][C]0.683367[/C][C]0.658316[/C][/ROW]
[ROW][C]169[/C][C]0.391436[/C][C]0.782873[/C][C]0.608564[/C][/ROW]
[ROW][C]170[/C][C]0.408762[/C][C]0.817524[/C][C]0.591238[/C][/ROW]
[ROW][C]171[/C][C]0.381908[/C][C]0.763816[/C][C]0.618092[/C][/ROW]
[ROW][C]172[/C][C]0.471307[/C][C]0.942614[/C][C]0.528693[/C][/ROW]
[ROW][C]173[/C][C]0.444431[/C][C]0.888862[/C][C]0.555569[/C][/ROW]
[ROW][C]174[/C][C]0.411858[/C][C]0.823716[/C][C]0.588142[/C][/ROW]
[ROW][C]175[/C][C]0.380257[/C][C]0.760514[/C][C]0.619743[/C][/ROW]
[ROW][C]176[/C][C]0.358844[/C][C]0.717688[/C][C]0.641156[/C][/ROW]
[ROW][C]177[/C][C]0.333769[/C][C]0.667539[/C][C]0.666231[/C][/ROW]
[ROW][C]178[/C][C]0.366648[/C][C]0.733296[/C][C]0.633352[/C][/ROW]
[ROW][C]179[/C][C]0.449578[/C][C]0.899157[/C][C]0.550422[/C][/ROW]
[ROW][C]180[/C][C]0.470705[/C][C]0.94141[/C][C]0.529295[/C][/ROW]
[ROW][C]181[/C][C]0.50206[/C][C]0.995881[/C][C]0.49794[/C][/ROW]
[ROW][C]182[/C][C]0.549255[/C][C]0.901491[/C][C]0.450745[/C][/ROW]
[ROW][C]183[/C][C]0.522702[/C][C]0.954596[/C][C]0.477298[/C][/ROW]
[ROW][C]184[/C][C]0.559003[/C][C]0.881994[/C][C]0.440997[/C][/ROW]
[ROW][C]185[/C][C]0.599519[/C][C]0.800962[/C][C]0.400481[/C][/ROW]
[ROW][C]186[/C][C]0.584862[/C][C]0.830277[/C][C]0.415138[/C][/ROW]
[ROW][C]187[/C][C]0.569582[/C][C]0.860837[/C][C]0.430418[/C][/ROW]
[ROW][C]188[/C][C]0.554443[/C][C]0.891114[/C][C]0.445557[/C][/ROW]
[ROW][C]189[/C][C]0.516853[/C][C]0.966295[/C][C]0.483147[/C][/ROW]
[ROW][C]190[/C][C]0.546231[/C][C]0.907537[/C][C]0.453769[/C][/ROW]
[ROW][C]191[/C][C]0.511784[/C][C]0.976431[/C][C]0.488216[/C][/ROW]
[ROW][C]192[/C][C]0.620367[/C][C]0.759266[/C][C]0.379633[/C][/ROW]
[ROW][C]193[/C][C]0.603464[/C][C]0.793073[/C][C]0.396536[/C][/ROW]
[ROW][C]194[/C][C]0.579766[/C][C]0.840467[/C][C]0.420234[/C][/ROW]
[ROW][C]195[/C][C]0.707514[/C][C]0.584971[/C][C]0.292486[/C][/ROW]
[ROW][C]196[/C][C]0.67441[/C][C]0.651181[/C][C]0.32559[/C][/ROW]
[ROW][C]197[/C][C]0.638334[/C][C]0.723331[/C][C]0.361666[/C][/ROW]
[ROW][C]198[/C][C]0.619602[/C][C]0.760796[/C][C]0.380398[/C][/ROW]
[ROW][C]199[/C][C]0.583977[/C][C]0.832045[/C][C]0.416023[/C][/ROW]
[ROW][C]200[/C][C]0.57593[/C][C]0.84814[/C][C]0.42407[/C][/ROW]
[ROW][C]201[/C][C]0.551885[/C][C]0.896229[/C][C]0.448115[/C][/ROW]
[ROW][C]202[/C][C]0.519923[/C][C]0.960154[/C][C]0.480077[/C][/ROW]
[ROW][C]203[/C][C]0.489033[/C][C]0.978065[/C][C]0.510967[/C][/ROW]
[ROW][C]204[/C][C]0.588199[/C][C]0.823602[/C][C]0.411801[/C][/ROW]
[ROW][C]205[/C][C]0.563837[/C][C]0.872326[/C][C]0.436163[/C][/ROW]
[ROW][C]206[/C][C]0.526829[/C][C]0.946341[/C][C]0.473171[/C][/ROW]
[ROW][C]207[/C][C]0.537458[/C][C]0.925083[/C][C]0.462542[/C][/ROW]
[ROW][C]208[/C][C]0.496188[/C][C]0.992377[/C][C]0.503812[/C][/ROW]
[ROW][C]209[/C][C]0.730653[/C][C]0.538694[/C][C]0.269347[/C][/ROW]
[ROW][C]210[/C][C]0.700836[/C][C]0.598329[/C][C]0.299164[/C][/ROW]
[ROW][C]211[/C][C]0.7015[/C][C]0.596999[/C][C]0.2985[/C][/ROW]
[ROW][C]212[/C][C]0.699838[/C][C]0.600324[/C][C]0.300162[/C][/ROW]
[ROW][C]213[/C][C]0.667112[/C][C]0.665776[/C][C]0.332888[/C][/ROW]
[ROW][C]214[/C][C]0.711069[/C][C]0.577861[/C][C]0.288931[/C][/ROW]
[ROW][C]215[/C][C]0.67515[/C][C]0.6497[/C][C]0.32485[/C][/ROW]
[ROW][C]216[/C][C]0.65236[/C][C]0.69528[/C][C]0.34764[/C][/ROW]
[ROW][C]217[/C][C]0.616855[/C][C]0.766291[/C][C]0.383145[/C][/ROW]
[ROW][C]218[/C][C]0.617556[/C][C]0.764887[/C][C]0.382444[/C][/ROW]
[ROW][C]219[/C][C]0.614636[/C][C]0.770728[/C][C]0.385364[/C][/ROW]
[ROW][C]220[/C][C]0.572625[/C][C]0.85475[/C][C]0.427375[/C][/ROW]
[ROW][C]221[/C][C]0.540102[/C][C]0.919796[/C][C]0.459898[/C][/ROW]
[ROW][C]222[/C][C]0.603406[/C][C]0.793187[/C][C]0.396594[/C][/ROW]
[ROW][C]223[/C][C]0.608444[/C][C]0.783112[/C][C]0.391556[/C][/ROW]
[ROW][C]224[/C][C]0.811916[/C][C]0.376168[/C][C]0.188084[/C][/ROW]
[ROW][C]225[/C][C]0.91342[/C][C]0.17316[/C][C]0.0865798[/C][/ROW]
[ROW][C]226[/C][C]0.897389[/C][C]0.205223[/C][C]0.102611[/C][/ROW]
[ROW][C]227[/C][C]0.888426[/C][C]0.223147[/C][C]0.111574[/C][/ROW]
[ROW][C]228[/C][C]0.864638[/C][C]0.270723[/C][C]0.135362[/C][/ROW]
[ROW][C]229[/C][C]0.850474[/C][C]0.299052[/C][C]0.149526[/C][/ROW]
[ROW][C]230[/C][C]0.828316[/C][C]0.343367[/C][C]0.171684[/C][/ROW]
[ROW][C]231[/C][C]0.794754[/C][C]0.410492[/C][C]0.205246[/C][/ROW]
[ROW][C]232[/C][C]0.767102[/C][C]0.465796[/C][C]0.232898[/C][/ROW]
[ROW][C]233[/C][C]0.726513[/C][C]0.546975[/C][C]0.273487[/C][/ROW]
[ROW][C]234[/C][C]0.683269[/C][C]0.633463[/C][C]0.316731[/C][/ROW]
[ROW][C]235[/C][C]0.637685[/C][C]0.724631[/C][C]0.362315[/C][/ROW]
[ROW][C]236[/C][C]0.596133[/C][C]0.807735[/C][C]0.403867[/C][/ROW]
[ROW][C]237[/C][C]0.565493[/C][C]0.869014[/C][C]0.434507[/C][/ROW]
[ROW][C]238[/C][C]0.532049[/C][C]0.935901[/C][C]0.467951[/C][/ROW]
[ROW][C]239[/C][C]0.571796[/C][C]0.856407[/C][C]0.428204[/C][/ROW]
[ROW][C]240[/C][C]0.56432[/C][C]0.87136[/C][C]0.43568[/C][/ROW]
[ROW][C]241[/C][C]0.521569[/C][C]0.956863[/C][C]0.478431[/C][/ROW]
[ROW][C]242[/C][C]0.51975[/C][C]0.960501[/C][C]0.48025[/C][/ROW]
[ROW][C]243[/C][C]0.462215[/C][C]0.92443[/C][C]0.537785[/C][/ROW]
[ROW][C]244[/C][C]0.416834[/C][C]0.833668[/C][C]0.583166[/C][/ROW]
[ROW][C]245[/C][C]0.42302[/C][C]0.846041[/C][C]0.57698[/C][/ROW]
[ROW][C]246[/C][C]0.37246[/C][C]0.744919[/C][C]0.62754[/C][/ROW]
[ROW][C]247[/C][C]0.38318[/C][C]0.766361[/C][C]0.61682[/C][/ROW]
[ROW][C]248[/C][C]0.33004[/C][C]0.660079[/C][C]0.66996[/C][/ROW]
[ROW][C]249[/C][C]0.27496[/C][C]0.549919[/C][C]0.72504[/C][/ROW]
[ROW][C]250[/C][C]0.251603[/C][C]0.503205[/C][C]0.748397[/C][/ROW]
[ROW][C]251[/C][C]0.209009[/C][C]0.418018[/C][C]0.790991[/C][/ROW]
[ROW][C]252[/C][C]0.210903[/C][C]0.421805[/C][C]0.789097[/C][/ROW]
[ROW][C]253[/C][C]0.210117[/C][C]0.420235[/C][C]0.789883[/C][/ROW]
[ROW][C]254[/C][C]0.308266[/C][C]0.616533[/C][C]0.691734[/C][/ROW]
[ROW][C]255[/C][C]0.429781[/C][C]0.859563[/C][C]0.570219[/C][/ROW]
[ROW][C]256[/C][C]0.357227[/C][C]0.714453[/C][C]0.642773[/C][/ROW]
[ROW][C]257[/C][C]0.541057[/C][C]0.917886[/C][C]0.458943[/C][/ROW]
[ROW][C]258[/C][C]0.463117[/C][C]0.926235[/C][C]0.536883[/C][/ROW]
[ROW][C]259[/C][C]0.379731[/C][C]0.759462[/C][C]0.620269[/C][/ROW]
[ROW][C]260[/C][C]0.381288[/C][C]0.762577[/C][C]0.618712[/C][/ROW]
[ROW][C]261[/C][C]0.322118[/C][C]0.644235[/C][C]0.677882[/C][/ROW]
[ROW][C]262[/C][C]0.246[/C][C]0.492[/C][C]0.754[/C][/ROW]
[ROW][C]263[/C][C]0.291686[/C][C]0.583371[/C][C]0.708314[/C][/ROW]
[ROW][C]264[/C][C]0.509107[/C][C]0.981786[/C][C]0.490893[/C][/ROW]
[ROW][C]265[/C][C]0.592698[/C][C]0.814605[/C][C]0.407302[/C][/ROW]
[ROW][C]266[/C][C]0.802867[/C][C]0.394265[/C][C]0.197133[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=272410&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=272410&T=5

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


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
120.3784060.7568120.621594
130.2251390.4502770.774861
140.1224940.2449880.877506
150.06333330.1266670.936667
160.0310820.06216410.968918
170.01406070.02812140.985939
180.04554510.09109020.954455
190.02654730.05309470.973453
200.01382260.02764520.986177
210.02067990.04135980.97932
220.01146630.02293270.988534
230.006990090.01398020.99301
240.003634990.007269970.996365
250.002826720.005653430.997173
260.2947170.5894340.705283
270.253860.507720.74614
280.2091650.4183310.790835
290.1773860.3547720.822614
300.1814890.3629790.818511
310.2715490.5430980.728451
320.2593580.5187160.740642
330.215470.4309390.78453
340.2386670.4773350.761333
350.2463690.4927390.753631
360.2353670.4707340.764633
370.5325520.9348950.467448
380.4833040.9666080.516696
390.4278790.8557580.572121
400.3759640.7519270.624036
410.3593760.7187520.640624
420.3112040.6224090.688796
430.2661690.5323390.733831
440.2340010.4680020.765999
450.3257030.6514050.674297
460.3351070.6702140.664893
470.3262770.6525540.673723
480.2876840.5753670.712316
490.273360.546720.72664
500.3216320.6432640.678368
510.2795390.5590790.720461
520.2402310.4804620.759769
530.2200490.4400990.779951
540.2339570.4679150.766043
550.1992090.3984170.800791
560.1735550.347110.826445
570.155170.3103390.84483
580.144730.2894590.85527
590.2733510.5467020.726649
600.2370330.4740660.762967
610.2062320.4124630.793768
620.1938030.3876070.806197
630.2120970.4241940.787903
640.2405080.4810170.759492
650.2253860.4507710.774614
660.195990.391980.80401
670.1674590.3349190.832541
680.1745430.3490850.825457
690.2257890.4515780.774211
700.2088620.4177240.791138
710.1800830.3601660.819917
720.1725130.3450260.827487
730.1598470.3196930.840153
740.1364580.2729160.863542
750.1271370.2542740.872863
760.2411510.4823020.758849
770.2371530.4743060.762847
780.221030.442060.77897
790.2717960.5435910.728204
800.2789680.5579360.721032
810.2585740.5171480.741426
820.2310440.4620890.768956
830.2064160.4128320.793584
840.1867910.3735810.813209
850.3029060.6058130.697094
860.2709160.5418330.729084
870.2729640.5459290.727036
880.2485470.4970930.751453
890.2265490.4530980.773451
900.28020.5604010.7198
910.2975430.5950860.702457
920.3189140.6378280.681086
930.2915140.5830280.708486
940.2634210.5268420.736579
950.2359750.4719510.764025
960.2247510.4495030.775249
970.2087040.4174090.791296
980.185880.3717590.81412
990.1619250.323850.838075
1000.1460230.2920450.853977
1010.1577990.3155990.842201
1020.1374970.2749930.862503
1030.1331380.2662750.866862
1040.1160340.2320680.883966
1050.1093240.2186480.890676
1060.1096670.2193350.890333
1070.2231040.4462080.776896
1080.2814250.562850.718575
1090.2864040.5728080.713596
1100.2622550.5245110.737745
1110.2805570.5611130.719443
1120.2827790.5655580.717221
1130.2556580.5113160.744342
1140.2310350.4620710.768965
1150.2078370.4156730.792163
1160.2058690.4117380.794131
1170.2102440.4204870.789756
1180.1892440.3784870.810756
1190.169860.339720.83014
1200.1556680.3113360.844332
1210.1550350.310070.844965
1220.1375750.2751510.862425
1230.131780.2635610.86822
1240.1140280.2280550.885972
1250.1242440.2484890.875756
1260.1122640.2245280.887736
1270.1321120.2642240.867888
1280.1198780.2397550.880122
1290.1394510.2789020.860549
1300.1207620.2415230.879238
1310.1045260.2090530.895474
1320.1660940.3321880.833906
1330.1747350.349470.825265
1340.323640.647280.67636
1350.3241090.6482180.675891
1360.4378660.8757320.562134
1370.4223490.8446980.577651
1380.4557240.9114480.544276
1390.4770720.9541440.522928
1400.4631390.9262770.536861
1410.4485850.897170.551415
1420.4210330.8420650.578967
1430.4371860.8743730.562814
1440.4038640.8077270.596136
1450.3744280.7488560.625572
1460.4363530.8727070.563647
1470.5949960.8100080.405004
1480.5608590.8782830.439141
1490.5860470.8279070.413953
1500.5527550.8944910.447245
1510.5737830.8524340.426217
1520.5898520.8202950.410148
1530.5616810.8766390.438319
1540.5529110.8941780.447089
1550.5625770.8748450.437423
1560.5551230.8897530.444877
1570.5229370.9541250.477063
1580.5017820.9964360.498218
1590.502740.994520.49726
1600.4711580.9423170.528842
1610.4467130.8934250.553287
1620.4866160.9732320.513384
1630.455720.9114390.54428
1640.4220070.8440140.577993
1650.3916450.7832890.608355
1660.3602380.7204760.639762
1670.3435050.687010.656495
1680.3416840.6833670.658316
1690.3914360.7828730.608564
1700.4087620.8175240.591238
1710.3819080.7638160.618092
1720.4713070.9426140.528693
1730.4444310.8888620.555569
1740.4118580.8237160.588142
1750.3802570.7605140.619743
1760.3588440.7176880.641156
1770.3337690.6675390.666231
1780.3666480.7332960.633352
1790.4495780.8991570.550422
1800.4707050.941410.529295
1810.502060.9958810.49794
1820.5492550.9014910.450745
1830.5227020.9545960.477298
1840.5590030.8819940.440997
1850.5995190.8009620.400481
1860.5848620.8302770.415138
1870.5695820.8608370.430418
1880.5544430.8911140.445557
1890.5168530.9662950.483147
1900.5462310.9075370.453769
1910.5117840.9764310.488216
1920.6203670.7592660.379633
1930.6034640.7930730.396536
1940.5797660.8404670.420234
1950.7075140.5849710.292486
1960.674410.6511810.32559
1970.6383340.7233310.361666
1980.6196020.7607960.380398
1990.5839770.8320450.416023
2000.575930.848140.42407
2010.5518850.8962290.448115
2020.5199230.9601540.480077
2030.4890330.9780650.510967
2040.5881990.8236020.411801
2050.5638370.8723260.436163
2060.5268290.9463410.473171
2070.5374580.9250830.462542
2080.4961880.9923770.503812
2090.7306530.5386940.269347
2100.7008360.5983290.299164
2110.70150.5969990.2985
2120.6998380.6003240.300162
2130.6671120.6657760.332888
2140.7110690.5778610.288931
2150.675150.64970.32485
2160.652360.695280.34764
2170.6168550.7662910.383145
2180.6175560.7648870.382444
2190.6146360.7707280.385364
2200.5726250.854750.427375
2210.5401020.9197960.459898
2220.6034060.7931870.396594
2230.6084440.7831120.391556
2240.8119160.3761680.188084
2250.913420.173160.0865798
2260.8973890.2052230.102611
2270.8884260.2231470.111574
2280.8646380.2707230.135362
2290.8504740.2990520.149526
2300.8283160.3433670.171684
2310.7947540.4104920.205246
2320.7671020.4657960.232898
2330.7265130.5469750.273487
2340.6832690.6334630.316731
2350.6376850.7246310.362315
2360.5961330.8077350.403867
2370.5654930.8690140.434507
2380.5320490.9359010.467951
2390.5717960.8564070.428204
2400.564320.871360.43568
2410.5215690.9568630.478431
2420.519750.9605010.48025
2430.4622150.924430.537785
2440.4168340.8336680.583166
2450.423020.8460410.57698
2460.372460.7449190.62754
2470.383180.7663610.61682
2480.330040.6600790.66996
2490.274960.5499190.72504
2500.2516030.5032050.748397
2510.2090090.4180180.790991
2520.2109030.4218050.789097
2530.2101170.4202350.789883
2540.3082660.6165330.691734
2550.4297810.8595630.570219
2560.3572270.7144530.642773
2570.5410570.9178860.458943
2580.4631170.9262350.536883
2590.3797310.7594620.620269
2600.3812880.7625770.618712
2610.3221180.6442350.677882
2620.2460.4920.754
2630.2916860.5833710.708314
2640.5091070.9817860.490893
2650.5926980.8146050.407302
2660.8028670.3942650.197133






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level20.00784314OK
5% type I error level70.027451OK
10% type I error level100.0392157OK

\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 & 2 & 0.00784314 & OK \tabularnewline
5% type I error level & 7 & 0.027451 & OK \tabularnewline
10% type I error level & 10 & 0.0392157 & OK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=272410&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]2[/C][C]0.00784314[/C][C]OK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]7[/C][C]0.027451[/C][C]OK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]10[/C][C]0.0392157[/C][C]OK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=272410&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=272410&T=6

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


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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level20.00784314OK
5% type I error level70.027451OK
10% type I error level100.0392157OK


Figures (Output of Computation)

Figure 1
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Figure 2
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Figure 6
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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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Input Parameters & R Code

Parameters (Session):
par1 = 12 ;
Parameters (R input):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
R code (references can be found in the software module):
library(lattice)
library(lmtest)
n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
par1 <- as.numeric(par1)
x <- t(y)
k <- length(x[1,])
n <- length(x[,1])
x1 <- cbind(x[,par1], x[,1:k!=par1])
mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1])
colnames(x1) <- mycolnames #colnames(x)[par1]
x <- x1
if (par3 == 'First Differences'){
x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep='')))
for (i in 1:n-1) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
}
if (par2 == 'Include Monthly Dummies'){
x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep ='')))
for (i in 1:11){
x2[seq(i,n,12),i] <- 1
}
x <- cbind(x, x2)
}
if (par2 == 'Include Quarterly Dummies'){
x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep ='')))
for (i in 1:3){
x2[seq(i,n,4),i] <- 1
}
x <- cbind(x, x2)
}
k <- length(x[1,])
if (par3 == 'Linear Trend'){
x <- cbind(x, c(1:n))
colnames(x)[k+1] <- 't'
}
x
k <- length(x[1,])
df <- as.data.frame(x)
(mylm <- lm(df))
(mysum <- summary(mylm))
if (n > n25) {
kp3 <- k + 3
nmkm3 <- n - k - 3
gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
numgqtests <- 0
numsignificant1 <- 0
numsignificant5 <- 0
numsignificant10 <- 0
for (mypoint in kp3:nmkm3) {
j <- 0
numgqtests <- numgqtests + 1
for (myalt in c('greater', 'two.sided', 'less')) {
j <- j + 1
gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value
}
if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1
if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1
if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1
}
gqarr
}
bitmap(file='test0.png')
plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')
points(x[,1]-mysum$resid)
grid()
dev.off()
bitmap(file='test1.png')
plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
grid()
dev.off()
bitmap(file='test2.png')
hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
grid()
dev.off()
bitmap(file='test3.png')
densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
dev.off()
bitmap(file='test4.png')
qqnorm(mysum$resid, main='Residual Normal Q-Q Plot')
qqline(mysum$resid)
grid()
dev.off()
(myerror <- as.ts(mysum$resid))
bitmap(file='test5.png')
dum <- cbind(lag(myerror,k=1),myerror)
dum
dum1 <- dum[2:length(myerror),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
lines(lowess(z))
abline(lm(z))
grid()
dev.off()
bitmap(file='test6.png')
acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
grid()
dev.off()
bitmap(file='test7.png')
pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
grid()
dev.off()
bitmap(file='test8.png')
opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
plot(mylm, las = 1, sub='Residual Diagnostics')
par(opar)
dev.off()
if (n > n25) {
bitmap(file='test9.png')
plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
grid()
dev.off()
}
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
a<-table.row.end(a)
myeq <- colnames(x)[1]
myeq <- paste(myeq, '[t] = ', sep='')
for (i in 1:k){
if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, signif(mysum$coefficients[i,1],6), sep=' ')
if (rownames(mysum$coefficients)[i] != '(Intercept)') {
myeq <- paste(myeq, rownames(mysum$coefficients)[i], sep='')
if (rownames(mysum$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='')
}
}
myeq <- paste(myeq, ' + e[t]')
a<-table.row.start(a)
a<-table.element(a, myeq)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',header=TRUE)
a<-table.element(a,'Parameter',header=TRUE)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE)
a<-table.element(a,'2-tail p-value',header=TRUE)
a<-table.element(a,'1-tail p-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:k){
a<-table.row.start(a)
a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE)
a<-table.element(a,signif(mysum$coefficients[i,1],6))
a<-table.element(a, signif(mysum$coefficients[i,2],6))
a<-table.element(a, signif(mysum$coefficients[i,3],4))
a<-table.element(a, signif(mysum$coefficients[i,4],6))
a<-table.element(a, signif(mysum$coefficients[i,4]/2,6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a, signif(sqrt(mysum$r.squared),6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a, signif(mysum$r.squared,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a, signif(mysum$adj.r.squared,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[1],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[2],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[3],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a, signif(1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]),6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Residual Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Residual Standard Deviation',1,TRUE)
a<-table.element(a, signif(mysum$sigma,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a, signif(sum(myerror*myerror),6))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,signif(x[i],6))
a<-table.element(a,signif(x[i]-mysum$resid[i],6))
a<-table.element(a,signif(mysum$resid[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable4.tab')
if (n > n25) {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-values',header=TRUE)
a<-table.element(a,'Alternative Hypothesis',3,header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'breakpoint index',header=TRUE)
a<-table.element(a,'greater',header=TRUE)
a<-table.element(a,'2-sided',header=TRUE)
a<-table.element(a,'less',header=TRUE)
a<-table.row.end(a)
for (mypoint in kp3:nmkm3) {
a<-table.row.start(a)
a<-table.element(a,mypoint,header=TRUE)
a<-table.element(a,signif(gqarr[mypoint-kp3+1,1],6))
a<-table.element(a,signif(gqarr[mypoint-kp3+1,2],6))
a<-table.element(a,signif(gqarr[mypoint-kp3+1,3],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable5.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Description',header=TRUE)
a<-table.element(a,'# significant tests',header=TRUE)
a<-table.element(a,'% significant tests',header=TRUE)
a<-table.element(a,'OK/NOK',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'1% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant1,6))
a<-table.element(a,signif(numsignificant1/numgqtests,6))
if (numsignificant1/numgqtests < 0.01) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'5% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant5,6))
a<-table.element(a,signif(numsignificant5/numgqtests,6))
if (numsignificant5/numgqtests < 0.05) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'10% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant10,6))
a<-table.element(a,signif(numsignificant10/numgqtests,6))
if (numsignificant10/numgqtests < 0.1) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable6.tab')
}