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R Software Module

rwasp_multipleregression.wasp

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Multiple Regression

Date of computation

Thu, 15 Jan 2015 20:36:49 +0000

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Jan/15/t14213544381yi2b4sb3mzx88b.htm/, Retrieved Wed, 15 May 2024 17:15:17 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=272973, Retrieved Wed, 15 May 2024 17:15:17 +0000

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

-       [Multiple Regression] [] [2015-01-15 20:36:49] [91c7a3a259bd23f54bd28f7298631f67] [Current]

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1 149 1 0.5 0.67 0 0.67 0.5 2011
1 139 0.89 0.5 0.83 0.5 0.33 1 2011
1 148 0.89 0.4 1 0 0.67 1 2011
1 158 0.89 0.5 0.83 0 0 0 2011
1 128 0.89 0.7 0.67 1 0 1 2011
1 224 0.78 0.3 0 0.5 0 0.5 2011
1 159 0.89 0.4 0.83 0.5 0.67 0 2011
1 105 1 0.4 0.5 1 0.67 1 2011
1 159 0.89 0.7 0.83 0.5 0 0 2011
1 167 0.78 0.6 0.33 0.5 0.67 0.5 2011
1 165 1 0.6 0.5 0 1 0.5 2011
1 159 0.78 0.2 0.67 0.5 0 0.5 2011
1 119 0.89 0.4 1 0.5 0 0.5 2011
1 176 0.89 0.4 0.5 0 0.67 1 2011
1 54 0.89 0.5 0.67 0 0.33 0 2011
0 91 0.89 0.3 0.17 0 0.67 0.5 2011
1 163 0.89 0.4 0.83 0.5 0.33 0.5 2011
1 124 0.67 0.7 0.67 0.5 0.33 1 2011
0 137 1 0.5 0.67 0 0.33 1 2011
1 121 0.78 0.2 0.67 0 0 1 2011
1 153 0.78 0.3 0.5 0 0.67 0.5 2011
1 148 0.89 0.6 1 0 0.33 1 2011
1 221 0.78 0.6 0.83 0 0.33 1 2011
1 188 0.89 0.2 0.83 0 0.33 1 2011
1 149 0.89 0.7 1 1 0.67 0 2011
1 244 0.33 0.2 0.67 0 0 0 2011
0 148 1 1 1 1 0.33 1 2011
0 92 0.89 0.4 0.83 0 0.67 0.5 2011
1 150 0.89 0.4 1 0 1 1 2011
1 153 0.67 0.2 0.83 0 0.67 0.5 2011
1 94 0.56 0.4 0.67 0 0.33 1 2011
1 156 0.89 0.4 0.67 0.5 0 1 2011
1 132 0.89 0.7 1 0.5 0.67 0.5 2011
1 161 1 0.2 0.67 0 0.67 0.5 2011
1 105 0.78 0.6 1 0 1 0.5 2011
1 97 0.78 0.3 1 0.5 1 0.5 2011
1 151 0.33 0.3 0.5 0 0.33 0 2011
0 131 0.78 0.2 0.67 0.5 0 0 2011
1 166 0.89 0.5 0.83 0.5 0.67 0.5 2011
1 157 0.89 0.7 1 0.5 0.67 1 2011
1 111 0.78 0.6 1 0.5 0.67 0.5 2011
1 145 0.89 0.4 1 0.5 0.67 1 2011
1 162 0.89 0.6 1 0.5 0.33 1 2011
1 163 1 0.4 1 0 1 1 2011
0 59 0.67 0.3 0.83 0 0.67 1 2011
1 187 1 0.5 0.83 0.5 0.67 0.5 2011
1 109 0.89 0.2 0.5 0 0 1 2011
0 90 0.89 0.3 0.83 0.5 0 1 2011
1 105 0.89 0.5 0.17 0 0 1 2011
0 83 0.78 0.7 0.83 0.5 1 1 2011
0 116 0.89 0.4 1 1 0.67 0.5 2011
0 42 0.78 0.3 1 0 0 0.5 2011
1 148 0.78 0.2 0.67 1 0.67 1 2011
0 155 1 0.5 1 0 0 0.5 2011
1 125 0.78 0.4 1 0.5 0 0 2011
1 116 1 0.6 1 1 0.67 1 2011
0 128 0.78 0.4 0.83 0 1 1 2011
1 138 0.67 0.4 0.33 0 0 0.5 2011
0 49 0.33 0.2 0.33 0 0.33 0 2011
0 96 1 0.9 1 0.5 0.67 1 2011
1 164 1 0.8 1 1 0.67 0.5 2011
1 162 0.78 0.8 0.83 0.5 0 1 2011
1 99 0.67 0.3 1 0.5 1 1 2011
1 202 1 0.2 0.83 0 0.67 0.5 2011
1 186 0.89 0.4 0.67 0.5 0 1 2011
0 66 0.89 0.2 0.83 0 1 1 2011
1 183 0.78 0.2 0.67 0.5 0.67 1 2011
1 214 1 0.1 0.83 0 0.67 1 2011
1 188 0.56 0.4 0.67 0.5 1 0 2011
0 104 0.67 0.5 1 0.5 0 0.5 2011
1 177 0.89 0.8 0.83 0.5 0.33 1 2011
1 126 0.89 0.4 0.67 0 0.67 0.5 2011
0 76 0.89 0.6 0.83 0.5 0.33 0.5 2011
0 99 0.89 0.5 0.83 0.5 0.67 1 2011
1 139 0.78 0.3 0.67 0 0 0 2011
1 162 1 0.4 0.33 0.5 0 0 2011
0 108 1 0.6 0.83 0.5 0.67 0.5 2011
1 159 0.89 0.4 1 0 0.33 0.5 2011
0 74 0.44 0.3 0.83 0 0 0 2011
1 110 0.78 0.8 0.83 1 0 1 2011
0 96 0.89 0.6 0.5 1 0.33 1 2011
0 116 0.67 0.3 0.5 0 0 0 2011
0 87 0.78 0.5 0.83 0.5 0.67 1 2011
0 97 0.78 0.4 1 0 0.33 1 2011
0 127 0.33 0.3 0.33 0 0.67 0 2011
0 106 0.89 0.7 1 0 0.33 0.5 2011
0 80 0.89 0.2 0.67 0.5 0.33 0.5 2011
0 74 0.89 0.4 0.83 0 1 1 2011
0 91 0.89 0.6 1 0.5 0.67 0.5 2011
0 133 0.56 0.6 0.83 0 0 1 2011
0 74 0.67 0.6 0.83 0.5 0.67 0.5 2011
0 114 0.67 0.4 1 0.5 0.33 1 2011
0 140 0.78 0.6 0.83 0 0 1 2011
0 95 0.78 0.5 1 0.5 0.33 1 2011
0 98 0.78 0.5 0.83 0 0 1 2011
0 121 0.89 0.6 0.67 0 0 1 2011
0 126 1 0.8 0.83 0.5 0.33 1 2011
0 98 0.89 0.5 0.83 1 0.67 0.5 2011
0 95 0.89 0.6 0.83 0.5 0.67 1 2011
0 110 0.78 0.4 0.83 0.5 0.67 1 2011
0 70 1 0.3 0.67 0.5 0.67 1 2011
0 102 0.78 0.3 0.83 0 1 0.5 2011
0 86 0.67 0.2 0 0 0 0 2011
0 130 0.78 0.4 0.83 0 0 0.5 2011
0 96 0.89 0.5 1 0 0 0.5 2011
0 102 0.67 0.3 0.17 0.5 0 0 2011
0 100 0.22 0.4 0.17 0.5 0 0 2011
0 94 0.44 0.5 0.5 0 1 0 2011
0 52 0.89 0.3 0.5 0 0.67 1 2011
0 98 0.67 0.5 1 0 0 0.5 2011
0 118 0.89 0.4 0.67 0 0.67 0.5 2011
0 99 0.67 0.4 0.83 0 0.67 1 2011
1 48 0.78 0.6 1 1 0 1 2012
1 50 0.78 0.3 1 1 0.67 1 2012
1 150 0.78 0.4 1 1 0.33 0.5 2012
1 154 1 0.3 1 1 1 1 2012
0 109 0.78 1 1 1 1 1 2012
0 68 0.67 0.4 1 0 0 0.5 2012
1 194 0.89 0.8 0.83 0.5 1 1 2012
1 158 0.89 0.3 1 1 0.67 1 2012
1 159 1 0.5 0.83 0 0.67 1 2012
1 67 0.78 0.4 1 0 0 0.5 2012
1 147 0.67 0.3 0.83 0 0.67 1 2012
1 39 0.89 0.5 0.83 0 1 1 2012
1 100 0.67 0.3 1 0 0.67 1 2012
1 111 0.67 0.3 0.67 0 0 1 2012
1 138 1 0.4 0.83 0 0 1 2012
1 101 0.67 0.3 1 0 0 0.5 2012
0 131 1 0.6 1 0.5 0.33 0.5 2012
1 101 0.89 0.6 0.83 1 0.67 1 2012
1 114 0.89 0.4 1 1 1 1 2012
1 165 1 0.4 1 0 0 0 2012
1 114 0.67 0.4 1 0 0.67 0.5 2012
1 111 0.44 0.3 0.67 0.5 0.67 1 2012
1 75 0.89 0.2 1 1 0.33 0 2012
1 82 0.56 0.5 0.83 0 0.67 1 2012
1 121 0.78 0.4 1 1 0.67 1 2012
1 32 1 0.4 1 0 0.67 0 2012
1 150 1 0.4 0.83 0 0.67 1 2012
1 117 0.89 0.3 0.67 0.5 0.67 0.5 2012
0 71 0.67 0.4 0.83 1 0.67 0.5 2012
1 165 0.89 0.2 1 0.5 0.33 1 2012
1 154 0.33 0 0 0 0 0 2012
1 126 0.89 0.4 1 0.5 0.67 1 2012
1 149 0.78 0.6 1 1 0 1 2012
1 145 1 0.4 0.67 0 0.67 0.5 2012
1 120 0.44 0.4 1 0 0 0.5 2012
1 109 0.67 0.4 0.83 0.5 0 0 2012
1 132 0.33 0.2 0.17 0.5 0 0 2012
1 172 0.89 0.4 0.83 1 1 1 2012
1 169 0.89 0.3 0.83 0 0 0.5 2012
1 114 1 0.6 0.83 1 0.67 0 2012
1 156 0.89 0.6 0.83 0 1 1 2012
1 172 0.89 0.4 0.83 0 0 1 2012
0 68 1 0.5 1 1 0.67 0.5 2012
0 89 0.89 0.4 0.83 0.5 0 1 2012
1 167 1 0.6 1 1 1 1 2012
1 113 0.78 0.6 0.83 0.5 0.67 1 2012
0 115 0.78 0.9 1 0.5 0.67 1 2012
0 78 0.67 0.4 0.83 0.5 0.67 0 2012
0 118 0.89 0.8 1 0.5 1 1 2012
0 87 0.67 0.5 0.83 0 1 1 2012
1 173 0.78 0.4 0.83 0 1 0 2012
1 2 0.89 0.4 1 1 0.67 0.5 2012
0 162 0.89 0.7 1 1 1 0.5 2012
0 49 0.78 0.4 1 1 0.33 1 2012
0 122 1 0.8 1 0.5 0.67 1 2012
0 96 1 0.4 1 1 1 0.5 2012
0 100 1 0.3 1 0 0.67 0.5 2012
0 82 0.67 0.5 1 0.5 0.67 1 2012
0 100 0.89 0.8 1 1 0.67 1 2012
0 115 1 0.4 0.83 0 0.33 0.5 2012
0 141 1 1 1 0.5 1 0 2012
1 165 0.89 0.5 1 1 0.67 1 2012
1 165 0.89 0.5 1 1 0.67 1 2012
0 110 0.89 0.3 1 0 0.33 1 2012
1 118 0.89 0.3 0.83 0.5 0.33 1 2012
1 158 0.89 0.3 0.5 0 0 1 2012
0 146 1 0.4 0.67 0.5 0.33 0.5 2012
1 49 0.67 0.5 1 0 0.33 1 2012
0 90 1 0.5 0.67 0.5 0.67 1 2012
0 121 0.89 0.4 1 0 0 0 2012
1 155 0.89 0.7 1 0.5 1 0 2012
0 104 0.89 0.5 0.5 0 0.33 0.5 2012
0 147 0.89 0.4 0.67 1 0.33 0 2012
0 110 1 0.7 0.67 0 1 1 2012
0 108 1 0.7 0.67 0 1 1 2012
0 113 1 0.7 0.67 0 1 1 2012
0 115 0.89 0.7 0.67 0 1 1 2012
0 61 0.89 0.7 0.67 0 0 0 2012
0 60 0.89 0.7 1 0.5 0.67 1 2012
0 109 0.33 0.1 0.67 0.5 0.33 0 2012
0 68 0.67 0.2 0.67 0.5 0.67 1 2012
0 111 0.56 0.3 0.33 0 0.33 1 2012
0 77 0.44 0.6 0.83 0 0.33 0.5 2012
0 73 1 0.8 1 1 1 1 2012
1 151 0.89 0.8 1 0.5 0.33 0.5 2012
0 89 0.33 0 0.17 0 0 0 2012
0 78 0.67 0.3 0.67 0 0.33 1 2012
0 110 0.67 0.6 0.83 0.5 0.33 1 2012
1 220 1 0.5 0.83 0 0.67 1 2012
0 65 0.78 0.7 1 0 0.33 0.5 2012
1 141 0.67 0.3 0.83 0.5 0 1 2012
0 117 1 0.3 1 0 0.67 0 2012
1 122 0.78 0.4 1 0 0.67 0.5 2012
0 63 0.89 0.4 0.83 0 1 1 2012
1 44 0.89 0.1 0.83 0 0 1 2012
0 52 0.89 0.5 1 0 0.67 1 2012
0 131 0 0 0 0 0 0 2012
0 101 0.67 0.4 1 0.5 0.33 0 2012
0 42 1 0.6 0.83 1 0.67 0.5 2012
1 152 1 0.4 1 0.5 0.33 1 2012
1 107 0.67 0.1 0.33 0.5 0 1 2012
0 77 0.89 0.3 0.83 0 0 1 2012
1 154 0.89 0.7 0.83 0 0.67 1 2012
1 103 0.56 0.3 0.17 0 0 1 2012
0 96 0.67 0.5 0.83 0.5 0.33 0 2012
1 175 1 0.3 0.83 1 0.67 1 2012
0 57 1 0.6 0.67 0.5 0.67 1 2012
0 112 1 0.9 1 0 1 1 2012
1 143 0.67 0.4 0.83 0.5 0 1 2012
0 49 0.44 0.3 1 0.5 0 0.5 2012
1 110 0.89 0.9 1 1 0.67 1 2012
1 131 0.44 0.5 1 0.5 0 0 2012
1 167 0.56 0.3 1 0.5 1 0.5 2012
0 56 0.89 0.6 0.83 0 0.67 0.5 2012
1 137 0.67 0.2 1 0 0.33 0.5 2012
0 86 0.89 0.4 0.83 0.5 1 1 2012
1 121 1 0.5 0.83 0.5 0.67 0.5 2012
1 149 0.78 0.4 0.83 0 0.67 0.5 2012
1 168 0.44 0 0 0 0 0 2012
1 140 0.89 0.2 1 0.5 0.33 1 2012
0 88 0.89 0.5 1 0.5 0.67 1 2012
1 168 0.89 0.3 1 0 0.67 0.5 2012
1 94 0.44 0 0 0 0 0 2012
1 51 1 0.5 0.83 0 1 1 2012
0 48 0.89 0.6 0.83 0 0.33 1 2012
1 145 0.67 0.3 0.83 0.5 0 0.5 2012
1 66 0.33 0 0 0 0 0 2012
0 85 0.78 0.3 0.67 0.5 0 0 2012
1 109 0.89 0.5 1 0.5 0.67 1 2012
0 63 0.78 0.4 0.67 0 0 1 2012
0 102 0.78 0.5 0.83 0 0.67 0.5 2012
0 162 0.89 0.7 1 1 1 0.5 2012
0 86 0.78 0.8 1 0.5 0.67 1 2012
0 114 0.78 0.6 1 0.5 0.33 1 2012
1 164 0.67 0.4 0.83 0 0.33 0.5 2012
1 119 0.89 0.5 0.83 0.5 0.33 0 2012
1 126 0.89 0.5 1 0.5 0 1 2012
1 132 0.78 0.3 1 0 0.33 1 2012
1 142 1 0.6 1 0.5 0 1 2012
1 83 1 0.3 0.67 0 0.67 0.5 2012
0 94 0.78 0.6 0.83 0.5 1 0.5 2012
0 81 0.78 0.3 0.33 0 0.33 1 2012
1 166 0.89 0.7 1 1 0.67 1 2012
0 110 0.89 0.7 1 0 1 1 2012
0 64 0.67 0.6 0.67 0.5 1 1 2012
1 93 1 0.5 1 0.5 0.33 0 2012
0 104 0.67 0.5 0.83 0 0.33 0.5 2012
0 105 0.56 0.4 0.67 0 0 1 2012
0 49 0.78 0.4 1 1 0.33 1 2012
0 88 1 0.7 1 0 1 1 2012
0 95 0.67 0.2 0.17 0.5 0 0 2012
0 102 0.78 0.5 0.83 0 0.67 0.5 2012
0 99 0.56 0.4 0.83 0.5 0.67 0 2012
0 63 1 0.2 1 1 0.67 1 2012
0 76 0.89 0.5 0.67 0 0.67 0 2012
0 109 0.44 0.4 0.5 0 0 1 2012
0 117 1 0.7 0.67 1 1 1 2012
0 57 0.89 0.6 0.83 1 0.67 0 2012
0 120 0.78 0.4 0.83 0 0 0 2012
0 73 0.89 0.5 1 1 0.67 1 2012
0 91 0.11 0 0.17 0 0 0 2012
0 108 0.89 0.7 1 0.5 0.67 1 2012
0 105 0.89 0.4 0.67 0 0.67 1 2012
1 117 1 0.5 0.67 0 1 1 2012
0 119 0.89 0.6 0.83 0 0.67 0.5 2012
0 31 1 0.8 0.5 0.5 0.67 0.5 2012

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	10 seconds
R Server	'George Udny Yule' @ yule.wessa.net
R Framework error message	Warning: there are blank lines in the 'Data X' field. Please, use NA for missing data - blank lines are simply deleted and are NOT treated as missing values.

\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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
R Framework error message & Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values. \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=272973&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=272973&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=272973&T=0

As an alternative you can also use a QR Code:

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

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	10 seconds
R Server	'George Udny Yule' @ yule.wessa.net
R Framework error message	Warning: there are blank lines in the 'Data X' field. Please, use NA for missing data - blank lines are simply deleted and are NOT treated as missing values.

Multiple Linear Regression - Estimated Regression Equation
LFM[t] = + 29176.7 + 41.9064group[t] + 14.4771Calculation[t] + 20.6908Algebraic_Reasoning[t] -10.4521Graphical_Interpretation[t] -3.50635Probability_and_Sampling[t] + 0.36667Proportionality_and_Ratio[t] -4.7807Estimation[t] -14.4613year[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
LFM[t] =  +  29176.7 +  41.9064group[t] +  14.4771Calculation[t] +  20.6908Algebraic_Reasoning[t] -10.4521Graphical_Interpretation[t] -3.50635Probability_and_Sampling[t] +  0.36667Proportionality_and_Ratio[t] -4.7807Estimation[t] -14.4613year[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=272973&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]LFM[t] =  +  29176.7 +  41.9064group[t] +  14.4771Calculation[t] +  20.6908Algebraic_Reasoning[t] -10.4521Graphical_Interpretation[t] -3.50635Probability_and_Sampling[t] +  0.36667Proportionality_and_Ratio[t] -4.7807Estimation[t] -14.4613year[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=272973&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=272973&T=1

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Estimated Regression Equation
LFM[t] = + 29176.7 + 41.9064group[t] + 14.4771Calculation[t] + 20.6908Algebraic_Reasoning[t] -10.4521Graphical_Interpretation[t] -3.50635Probability_and_Sampling[t] + 0.36667Proportionality_and_Ratio[t] -4.7807Estimation[t] -14.4613year[t] + e[t]

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	29176.7	8398.84	3.474	0.000597649	0.000298824
group	41.9064	4.16784	10.05	2.12584e-20	1.06292e-20
Calculation	14.4771	13.7075	1.056	0.291853	0.145926
Algebraic_Reasoning	20.6908	12.7931	1.617	0.106977	0.0534883
Graphical_Interpretation	-10.4521	10.0669	-1.038	0.30008	0.15004
Probability_and_Sampling	-3.50635	5.80176	-0.6044	0.546114	0.273057
Proportionality_and_Ratio	0.36667	6.33834	0.05785	0.953911	0.476956
Estimation	-4.7807	5.60265	-0.8533	0.394256	0.197128
year	-14.4613	4.17522	-3.464	0.000619975	0.000309988

\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) & 29176.7 & 8398.84 & 3.474 & 0.000597649 & 0.000298824 \tabularnewline
group & 41.9064 & 4.16784 & 10.05 & 2.12584e-20 & 1.06292e-20 \tabularnewline
Calculation & 14.4771 & 13.7075 & 1.056 & 0.291853 & 0.145926 \tabularnewline
Algebraic_Reasoning & 20.6908 & 12.7931 & 1.617 & 0.106977 & 0.0534883 \tabularnewline
Graphical_Interpretation & -10.4521 & 10.0669 & -1.038 & 0.30008 & 0.15004 \tabularnewline
Probability_and_Sampling & -3.50635 & 5.80176 & -0.6044 & 0.546114 & 0.273057 \tabularnewline
Proportionality_and_Ratio & 0.36667 & 6.33834 & 0.05785 & 0.953911 & 0.476956 \tabularnewline
Estimation & -4.7807 & 5.60265 & -0.8533 & 0.394256 & 0.197128 \tabularnewline
year & -14.4613 & 4.17522 & -3.464 & 0.000619975 & 0.000309988 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=272973&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]29176.7[/C][C]8398.84[/C][C]3.474[/C][C]0.000597649[/C][C]0.000298824[/C][/ROW]
[ROW][C]group[/C][C]41.9064[/C][C]4.16784[/C][C]10.05[/C][C]2.12584e-20[/C][C]1.06292e-20[/C][/ROW]
[ROW][C]Calculation[/C][C]14.4771[/C][C]13.7075[/C][C]1.056[/C][C]0.291853[/C][C]0.145926[/C][/ROW]
[ROW][C]Algebraic_Reasoning[/C][C]20.6908[/C][C]12.7931[/C][C]1.617[/C][C]0.106977[/C][C]0.0534883[/C][/ROW]
[ROW][C]Graphical_Interpretation[/C][C]-10.4521[/C][C]10.0669[/C][C]-1.038[/C][C]0.30008[/C][C]0.15004[/C][/ROW]
[ROW][C]Probability_and_Sampling[/C][C]-3.50635[/C][C]5.80176[/C][C]-0.6044[/C][C]0.546114[/C][C]0.273057[/C][/ROW]
[ROW][C]Proportionality_and_Ratio[/C][C]0.36667[/C][C]6.33834[/C][C]0.05785[/C][C]0.953911[/C][C]0.476956[/C][/ROW]
[ROW][C]Estimation[/C][C]-4.7807[/C][C]5.60265[/C][C]-0.8533[/C][C]0.394256[/C][C]0.197128[/C][/ROW]
[ROW][C]year[/C][C]-14.4613[/C][C]4.17522[/C][C]-3.464[/C][C]0.000619975[/C][C]0.000309988[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=272973&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=272973&T=2

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	29176.7	8398.84	3.474	0.000597649	0.000298824
group	41.9064	4.16784	10.05	2.12584e-20	1.06292e-20
Calculation	14.4771	13.7075	1.056	0.291853	0.145926
Algebraic_Reasoning	20.6908	12.7931	1.617	0.106977	0.0534883
Graphical_Interpretation	-10.4521	10.0669	-1.038	0.30008	0.15004
Probability_and_Sampling	-3.50635	5.80176	-0.6044	0.546114	0.273057
Proportionality_and_Ratio	0.36667	6.33834	0.05785	0.953911	0.476956
Estimation	-4.7807	5.60265	-0.8533	0.394256	0.197128
year	-14.4613	4.17522	-3.464	0.000619975	0.000309988

Multiple Linear Regression - Regression Statistics
Multiple R	0.562361
R-squared	0.316249
Adjusted R-squared	0.295915
F-TEST (value)	15.5523
F-TEST (DF numerator)	8
F-TEST (DF denominator)	269
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	33.4249
Sum Squared Residuals	300534

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.562361 \tabularnewline
R-squared & 0.316249 \tabularnewline
Adjusted R-squared & 0.295915 \tabularnewline
F-TEST (value) & 15.5523 \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 & 33.4249 \tabularnewline
Sum Squared Residuals & 300534 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=272973&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.562361[/C][/ROW]
[ROW][C]R-squared[/C][C]0.316249[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.295915[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]15.5523[/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]33.4249[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]300534[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=272973&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=272973&T=3

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Regression Statistics
Multiple R	0.562361
R-squared	0.316249
Adjusted R-squared	0.295915
F-TEST (value)	15.5523
F-TEST (DF numerator)	8
F-TEST (DF denominator)	269
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	33.4249
Sum Squared Residuals	300534

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	149	152.639	-3.63867
2	139	145.106	-6.10567
3	148	143.138	4.86243
4	158	151.519	6.48146
5	128	149.042	-21.042
6	224	150.32	73.6804
7	159	147.942	11.0581
8	105	146.45	-41.4497
9	159	153.904	5.09647
10	167	153.323	13.6767
11	165	156.606	8.39439
12	159	141.248	17.7524
13	119	143.529	-24.5291
14	176	148.364	27.6364
15	54	153.312	-99.3119
16	91	110.228	-19.2277
17	163	145.427	17.5731
18	124	147.731	-23.7312
19	137	108.217	28.7827
20	121	140.61	-19.6104
21	153	147.092	5.9076
22	148	147.151	0.848931
23	221	147.335	73.6646
24	188	140.652	47.3484
25	149	150.619	-1.61917
26	244	138.876	105.124
27	148	111.607	36.3928
28	92	105.398	-13.3984
29	150	143.259	6.74143
30	153	139.982	13.0183
31	94	141.685	-47.6847
32	156	144.588	11.4121
33	132	149.982	-17.982
34	161	146.431	14.5686
35	105	148.195	-43.1946
36	97	140.234	-43.2342
37	151	142.843	8.15659
38	131	101.732	29.2684
39	166	147.621	18.3793
40	157	147.592	9.40836
41	111	146.32	-35.3204
42	145	141.384	3.6156
43	162	145.398	16.6021
44	163	144.851	18.149
45	59	97.754	-38.754
46	187	149.213	37.7868
47	109	143.98	-34.9798
48	90	98.9401	-8.94014
49	105	153.636	-48.6362
50	83	105.991	-22.9907
51	116	100.115	15.8848
52	42	99.7143	-57.7143
53	148	137.35	10.6502
54	155	107.037	47.9625
55	125	144.327	-19.3269
56	116	145.362	-29.3619
57	128	101.537	26.4634
58	138	149.1	-11.1002
59	49	100.645	-51.6448
60	96	111.416	-15.4159
61	164	151.89	12.1096
62	162	149.599	12.4006
63	99	136.251	-37.2514
64	202	144.759	57.2409
65	186	144.588	41.4121
66	66	98.9909	-32.9909
67	183	139.103	43.8971
68	214	140.3	73.7003
69	188	144.958	43.0421
70	104	100.507	3.49315
71	177	151.313	25.6871
72	126	148.977	-22.9771
73	76	107.659	-31.6587
74	99	103.324	-4.32398
75	139	147.46	-8.46023
76	162	154.515	7.4852
77	108	109.376	-1.37588
78	159	145.403	13.5967
79	74	98.9593	-24.9593
80	110	147.846	-37.8463
81	96	106.964	-10.9644
82	116	105.738	10.2618
83	87	101.731	-14.7315
84	97	99.5141	-2.51407
85	127	102.839	24.1614
86	106	109.704	-3.70414
87	80	101.055	-21.0547
88	74	103.129	-29.1291
89	91	106.007	-15.0066
90	133	102.123	30.8769
91	74	104.598	-30.5985
92	114	96.1684	17.8316
93	140	105.308	34.6919
94	95	99.83	-4.82998
95	98	103.239	-5.23901
96	121	108.573	12.4271
97	126	110.999	15.001
98	98	103.961	-5.96115
99	95	105.393	-10.3931
100	110	99.6624	10.3376
101	70	102.451	-32.4506
102	102	101.858	0.142142
103	86	108.895	-22.8952
104	130	103.56	26.4397
105	96	105.445	-9.44498
106	102	107.434	-5.43426
107	100	102.989	-2.98867
108	94	106.913	-12.9134
109	52	104.388	-52.3882
110	98	102.26	-4.26002
111	118	107.071	10.9292
112	99	99.8231	-0.823115
113	48	127.47	-79.4699
114	50	121.508	-71.5084
115	150	125.843	24.1569
116	154	124.814	29.1857
117	109	94.2066	14.7934
118	68	85.7296	-17.7296
119	194	137.097	56.9027
120	158	123.101	34.8992
121	159	134.115	24.8853
122	67	129.228	-62.2285
123	147	125.199	21.8009
124	39	132.643	-93.6432
125	100	123.422	-23.4222
126	111	126.626	-15.6257
127	138	131.8	6.20007
128	101	125.567	-24.5669
129	131	93.0131	37.9869
130	101	131.085	-30.0849
131	114	125.291	-11.2909
132	165	134.804	30.1962
133	114	127.882	-13.8817
134	111	121.789	-10.7885
135	75	125.688	-50.6878
136	82	127.745	-45.7448
137	121	123.577	-2.57744
138	32	135.049	-103.049
139	150	132.046	17.9544
140	117	130.694	-13.6935
141	71	84.2458	-13.2458
142	165	122.66	42.3397
143	154	127.28	26.7201
144	126	126.923	-0.92309
145	149	127.47	21.5301
146	145	136.108	8.89172
147	120	124.306	-4.30627
148	109	130.05	-21.05
149	132	127.888	4.11197
150	172	127.068	44.9322
151	169	130.529	38.4713
152	114	137.458	-23.4581
153	156	134.712	21.2877
154	172	130.207	41.7925
155	68	89.3155	-21.3155
156	89	86.5479	2.45208
157	167	131.022	35.9784
158	113	131.246	-18.2456
159	115	93.7697	21.2303
160	78	88.3893	-10.3893
161	118	93.4141	24.5859
162	87	87.5519	-0.551893
163	173	133.762	39.2377
164	2	127.56	-125.56
165	162	91.9822	70.0178
166	49	81.5464	-32.5464
167	122	94.8855	27.1145
168	96	87.3674	8.63262
169	100	88.6837	11.3163
170	82	83.9009	-1.90086
171	100	91.5399	8.46011
172	115	92.4049	22.5951
173	141	103.925	37.0746
174	165	127.239	37.761
175	165	127.239	37.761
176	110	84.5762	25.4238
177	118	126.506	-8.50619
178	158	131.588	26.4124
179	146	92.3241	53.6759
180	49	127.436	-78.4357
181	90	92.1275	-2.12748
182	121	91.3049	29.6951
183	155	138.032	16.968
184	104	96.3307	7.66929
185	147	91.3688	55.6312
186	110	98.1398	11.8602
187	108	98.1398	9.86018
188	113	98.1398	14.8602
189	115	96.5473	18.4527
190	61	100.961	-39.9614
191	60	91.224	-31.224
192	109	78.8075	30.1925
193	68	81.1428	-13.1428
194	111	86.8016	24.1984
195	77	88.4359	-11.4359
196	73	93.2534	-20.2534
197	151	137.465	13.5349
198	89	83.5967	5.40332
199	78	84.8404	-6.84039
200	110	87.6221	22.3779
201	220	134.115	85.8853
202	65	93.6504	-28.6504
203	141	123.2	17.7998
204	117	91.074	25.926
205	122	129.474	-7.47414
206	63	88.6678	-25.6678
207	44	124	-80.0002
208	52	88.839	-36.839
209	131	80.5961	50.4039
210	101	86.4878	14.5122
211	42	93.1614	-51.1614
212	152	128.391	23.6091
213	107	124.288	-17.2881
214	77	86.232	-9.23201
215	154	136.66	17.3396
216	103	130.259	-27.2593
217	96	90.3337	5.66625
218	175	126.47	48.5298
219	57	94.1966	-37.1966
220	112	98.8288	13.1712
221	143	125.269	17.7307
222	49	78.5777	-29.5777
223	110	135.515	-25.5153
224	131	127.013	3.98748
225	167	122.588	44.4121
226	56	95.0753	-39.0753
227	137	123.619	13.3812
228	86	86.9146	-0.914588
229	121	134.752	-13.7519
230	149	131.251	17.749
231	168	128.872	39.1276
232	140	122.66	17.3397
233	88	87.0858	0.914185
234	168	128.998	39.0025
235	94	128.872	-34.8724
236	51	134.236	-83.2357
237	48	92.5603	-44.5603
238	145	125.591	19.4094
239	66	127.28	-61.2799
240	85	89.3394	-4.33939
241	109	128.992	-19.9922
242	63	88.381	-25.381
243	102	91.4137	10.5863
244	162	91.9822	70.0178
245	86	91.7006	-5.70059
246	114	87.4378	26.5622
247	164	129.534	34.4662
248	119	135.425	-16.4251
249	126	128.747	-2.7465
250	132	124.89	7.10996
251	142	132.408	9.59194
252	83	134.039	-51.0392
253	94	91.8506	2.14937
254	81	89.9866	-8.98658
255	166	131.377	34.6228
256	110	93.0982	16.9018
257	64	89.5401	-25.5401
258	93	135.241	-42.2407
259	104	89.6966	14.3034
260	105	85.196	19.804
261	49	81.5464	-32.5464
262	88	94.6906	-6.69063
263	95	90.9039	4.09613
264	102	91.4137	10.5863
265	99	86.7969	12.2031
266	63	80.7179	-17.7179
267	76	97.0689	-21.0689
268	109	85.2356	23.7644
269	117	94.6335	22.3665
270	57	93.9593	-36.9593
271	120	91.4893	28.5107
272	73	85.3326	-12.3326
273	91	80.4117	10.5883
274	108	91.224	16.776
275	105	90.2191	14.7809
276	117	135.908	-18.908
277	119	95.0753	23.9247
278	31	102.502	-71.5019

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 149 & 152.639 & -3.63867 \tabularnewline
2 & 139 & 145.106 & -6.10567 \tabularnewline
3 & 148 & 143.138 & 4.86243 \tabularnewline
4 & 158 & 151.519 & 6.48146 \tabularnewline
5 & 128 & 149.042 & -21.042 \tabularnewline
6 & 224 & 150.32 & 73.6804 \tabularnewline
7 & 159 & 147.942 & 11.0581 \tabularnewline
8 & 105 & 146.45 & -41.4497 \tabularnewline
9 & 159 & 153.904 & 5.09647 \tabularnewline
10 & 167 & 153.323 & 13.6767 \tabularnewline
11 & 165 & 156.606 & 8.39439 \tabularnewline
12 & 159 & 141.248 & 17.7524 \tabularnewline
13 & 119 & 143.529 & -24.5291 \tabularnewline
14 & 176 & 148.364 & 27.6364 \tabularnewline
15 & 54 & 153.312 & -99.3119 \tabularnewline
16 & 91 & 110.228 & -19.2277 \tabularnewline
17 & 163 & 145.427 & 17.5731 \tabularnewline
18 & 124 & 147.731 & -23.7312 \tabularnewline
19 & 137 & 108.217 & 28.7827 \tabularnewline
20 & 121 & 140.61 & -19.6104 \tabularnewline
21 & 153 & 147.092 & 5.9076 \tabularnewline
22 & 148 & 147.151 & 0.848931 \tabularnewline
23 & 221 & 147.335 & 73.6646 \tabularnewline
24 & 188 & 140.652 & 47.3484 \tabularnewline
25 & 149 & 150.619 & -1.61917 \tabularnewline
26 & 244 & 138.876 & 105.124 \tabularnewline
27 & 148 & 111.607 & 36.3928 \tabularnewline
28 & 92 & 105.398 & -13.3984 \tabularnewline
29 & 150 & 143.259 & 6.74143 \tabularnewline
30 & 153 & 139.982 & 13.0183 \tabularnewline
31 & 94 & 141.685 & -47.6847 \tabularnewline
32 & 156 & 144.588 & 11.4121 \tabularnewline
33 & 132 & 149.982 & -17.982 \tabularnewline
34 & 161 & 146.431 & 14.5686 \tabularnewline
35 & 105 & 148.195 & -43.1946 \tabularnewline
36 & 97 & 140.234 & -43.2342 \tabularnewline
37 & 151 & 142.843 & 8.15659 \tabularnewline
38 & 131 & 101.732 & 29.2684 \tabularnewline
39 & 166 & 147.621 & 18.3793 \tabularnewline
40 & 157 & 147.592 & 9.40836 \tabularnewline
41 & 111 & 146.32 & -35.3204 \tabularnewline
42 & 145 & 141.384 & 3.6156 \tabularnewline
43 & 162 & 145.398 & 16.6021 \tabularnewline
44 & 163 & 144.851 & 18.149 \tabularnewline
45 & 59 & 97.754 & -38.754 \tabularnewline
46 & 187 & 149.213 & 37.7868 \tabularnewline
47 & 109 & 143.98 & -34.9798 \tabularnewline
48 & 90 & 98.9401 & -8.94014 \tabularnewline
49 & 105 & 153.636 & -48.6362 \tabularnewline
50 & 83 & 105.991 & -22.9907 \tabularnewline
51 & 116 & 100.115 & 15.8848 \tabularnewline
52 & 42 & 99.7143 & -57.7143 \tabularnewline
53 & 148 & 137.35 & 10.6502 \tabularnewline
54 & 155 & 107.037 & 47.9625 \tabularnewline
55 & 125 & 144.327 & -19.3269 \tabularnewline
56 & 116 & 145.362 & -29.3619 \tabularnewline
57 & 128 & 101.537 & 26.4634 \tabularnewline
58 & 138 & 149.1 & -11.1002 \tabularnewline
59 & 49 & 100.645 & -51.6448 \tabularnewline
60 & 96 & 111.416 & -15.4159 \tabularnewline
61 & 164 & 151.89 & 12.1096 \tabularnewline
62 & 162 & 149.599 & 12.4006 \tabularnewline
63 & 99 & 136.251 & -37.2514 \tabularnewline
64 & 202 & 144.759 & 57.2409 \tabularnewline
65 & 186 & 144.588 & 41.4121 \tabularnewline
66 & 66 & 98.9909 & -32.9909 \tabularnewline
67 & 183 & 139.103 & 43.8971 \tabularnewline
68 & 214 & 140.3 & 73.7003 \tabularnewline
69 & 188 & 144.958 & 43.0421 \tabularnewline
70 & 104 & 100.507 & 3.49315 \tabularnewline
71 & 177 & 151.313 & 25.6871 \tabularnewline
72 & 126 & 148.977 & -22.9771 \tabularnewline
73 & 76 & 107.659 & -31.6587 \tabularnewline
74 & 99 & 103.324 & -4.32398 \tabularnewline
75 & 139 & 147.46 & -8.46023 \tabularnewline
76 & 162 & 154.515 & 7.4852 \tabularnewline
77 & 108 & 109.376 & -1.37588 \tabularnewline
78 & 159 & 145.403 & 13.5967 \tabularnewline
79 & 74 & 98.9593 & -24.9593 \tabularnewline
80 & 110 & 147.846 & -37.8463 \tabularnewline
81 & 96 & 106.964 & -10.9644 \tabularnewline
82 & 116 & 105.738 & 10.2618 \tabularnewline
83 & 87 & 101.731 & -14.7315 \tabularnewline
84 & 97 & 99.5141 & -2.51407 \tabularnewline
85 & 127 & 102.839 & 24.1614 \tabularnewline
86 & 106 & 109.704 & -3.70414 \tabularnewline
87 & 80 & 101.055 & -21.0547 \tabularnewline
88 & 74 & 103.129 & -29.1291 \tabularnewline
89 & 91 & 106.007 & -15.0066 \tabularnewline
90 & 133 & 102.123 & 30.8769 \tabularnewline
91 & 74 & 104.598 & -30.5985 \tabularnewline
92 & 114 & 96.1684 & 17.8316 \tabularnewline
93 & 140 & 105.308 & 34.6919 \tabularnewline
94 & 95 & 99.83 & -4.82998 \tabularnewline
95 & 98 & 103.239 & -5.23901 \tabularnewline
96 & 121 & 108.573 & 12.4271 \tabularnewline
97 & 126 & 110.999 & 15.001 \tabularnewline
98 & 98 & 103.961 & -5.96115 \tabularnewline
99 & 95 & 105.393 & -10.3931 \tabularnewline
100 & 110 & 99.6624 & 10.3376 \tabularnewline
101 & 70 & 102.451 & -32.4506 \tabularnewline
102 & 102 & 101.858 & 0.142142 \tabularnewline
103 & 86 & 108.895 & -22.8952 \tabularnewline
104 & 130 & 103.56 & 26.4397 \tabularnewline
105 & 96 & 105.445 & -9.44498 \tabularnewline
106 & 102 & 107.434 & -5.43426 \tabularnewline
107 & 100 & 102.989 & -2.98867 \tabularnewline
108 & 94 & 106.913 & -12.9134 \tabularnewline
109 & 52 & 104.388 & -52.3882 \tabularnewline
110 & 98 & 102.26 & -4.26002 \tabularnewline
111 & 118 & 107.071 & 10.9292 \tabularnewline
112 & 99 & 99.8231 & -0.823115 \tabularnewline
113 & 48 & 127.47 & -79.4699 \tabularnewline
114 & 50 & 121.508 & -71.5084 \tabularnewline
115 & 150 & 125.843 & 24.1569 \tabularnewline
116 & 154 & 124.814 & 29.1857 \tabularnewline
117 & 109 & 94.2066 & 14.7934 \tabularnewline
118 & 68 & 85.7296 & -17.7296 \tabularnewline
119 & 194 & 137.097 & 56.9027 \tabularnewline
120 & 158 & 123.101 & 34.8992 \tabularnewline
121 & 159 & 134.115 & 24.8853 \tabularnewline
122 & 67 & 129.228 & -62.2285 \tabularnewline
123 & 147 & 125.199 & 21.8009 \tabularnewline
124 & 39 & 132.643 & -93.6432 \tabularnewline
125 & 100 & 123.422 & -23.4222 \tabularnewline
126 & 111 & 126.626 & -15.6257 \tabularnewline
127 & 138 & 131.8 & 6.20007 \tabularnewline
128 & 101 & 125.567 & -24.5669 \tabularnewline
129 & 131 & 93.0131 & 37.9869 \tabularnewline
130 & 101 & 131.085 & -30.0849 \tabularnewline
131 & 114 & 125.291 & -11.2909 \tabularnewline
132 & 165 & 134.804 & 30.1962 \tabularnewline
133 & 114 & 127.882 & -13.8817 \tabularnewline
134 & 111 & 121.789 & -10.7885 \tabularnewline
135 & 75 & 125.688 & -50.6878 \tabularnewline
136 & 82 & 127.745 & -45.7448 \tabularnewline
137 & 121 & 123.577 & -2.57744 \tabularnewline
138 & 32 & 135.049 & -103.049 \tabularnewline
139 & 150 & 132.046 & 17.9544 \tabularnewline
140 & 117 & 130.694 & -13.6935 \tabularnewline
141 & 71 & 84.2458 & -13.2458 \tabularnewline
142 & 165 & 122.66 & 42.3397 \tabularnewline
143 & 154 & 127.28 & 26.7201 \tabularnewline
144 & 126 & 126.923 & -0.92309 \tabularnewline
145 & 149 & 127.47 & 21.5301 \tabularnewline
146 & 145 & 136.108 & 8.89172 \tabularnewline
147 & 120 & 124.306 & -4.30627 \tabularnewline
148 & 109 & 130.05 & -21.05 \tabularnewline
149 & 132 & 127.888 & 4.11197 \tabularnewline
150 & 172 & 127.068 & 44.9322 \tabularnewline
151 & 169 & 130.529 & 38.4713 \tabularnewline
152 & 114 & 137.458 & -23.4581 \tabularnewline
153 & 156 & 134.712 & 21.2877 \tabularnewline
154 & 172 & 130.207 & 41.7925 \tabularnewline
155 & 68 & 89.3155 & -21.3155 \tabularnewline
156 & 89 & 86.5479 & 2.45208 \tabularnewline
157 & 167 & 131.022 & 35.9784 \tabularnewline
158 & 113 & 131.246 & -18.2456 \tabularnewline
159 & 115 & 93.7697 & 21.2303 \tabularnewline
160 & 78 & 88.3893 & -10.3893 \tabularnewline
161 & 118 & 93.4141 & 24.5859 \tabularnewline
162 & 87 & 87.5519 & -0.551893 \tabularnewline
163 & 173 & 133.762 & 39.2377 \tabularnewline
164 & 2 & 127.56 & -125.56 \tabularnewline
165 & 162 & 91.9822 & 70.0178 \tabularnewline
166 & 49 & 81.5464 & -32.5464 \tabularnewline
167 & 122 & 94.8855 & 27.1145 \tabularnewline
168 & 96 & 87.3674 & 8.63262 \tabularnewline
169 & 100 & 88.6837 & 11.3163 \tabularnewline
170 & 82 & 83.9009 & -1.90086 \tabularnewline
171 & 100 & 91.5399 & 8.46011 \tabularnewline
172 & 115 & 92.4049 & 22.5951 \tabularnewline
173 & 141 & 103.925 & 37.0746 \tabularnewline
174 & 165 & 127.239 & 37.761 \tabularnewline
175 & 165 & 127.239 & 37.761 \tabularnewline
176 & 110 & 84.5762 & 25.4238 \tabularnewline
177 & 118 & 126.506 & -8.50619 \tabularnewline
178 & 158 & 131.588 & 26.4124 \tabularnewline
179 & 146 & 92.3241 & 53.6759 \tabularnewline
180 & 49 & 127.436 & -78.4357 \tabularnewline
181 & 90 & 92.1275 & -2.12748 \tabularnewline
182 & 121 & 91.3049 & 29.6951 \tabularnewline
183 & 155 & 138.032 & 16.968 \tabularnewline
184 & 104 & 96.3307 & 7.66929 \tabularnewline
185 & 147 & 91.3688 & 55.6312 \tabularnewline
186 & 110 & 98.1398 & 11.8602 \tabularnewline
187 & 108 & 98.1398 & 9.86018 \tabularnewline
188 & 113 & 98.1398 & 14.8602 \tabularnewline
189 & 115 & 96.5473 & 18.4527 \tabularnewline
190 & 61 & 100.961 & -39.9614 \tabularnewline
191 & 60 & 91.224 & -31.224 \tabularnewline
192 & 109 & 78.8075 & 30.1925 \tabularnewline
193 & 68 & 81.1428 & -13.1428 \tabularnewline
194 & 111 & 86.8016 & 24.1984 \tabularnewline
195 & 77 & 88.4359 & -11.4359 \tabularnewline
196 & 73 & 93.2534 & -20.2534 \tabularnewline
197 & 151 & 137.465 & 13.5349 \tabularnewline
198 & 89 & 83.5967 & 5.40332 \tabularnewline
199 & 78 & 84.8404 & -6.84039 \tabularnewline
200 & 110 & 87.6221 & 22.3779 \tabularnewline
201 & 220 & 134.115 & 85.8853 \tabularnewline
202 & 65 & 93.6504 & -28.6504 \tabularnewline
203 & 141 & 123.2 & 17.7998 \tabularnewline
204 & 117 & 91.074 & 25.926 \tabularnewline
205 & 122 & 129.474 & -7.47414 \tabularnewline
206 & 63 & 88.6678 & -25.6678 \tabularnewline
207 & 44 & 124 & -80.0002 \tabularnewline
208 & 52 & 88.839 & -36.839 \tabularnewline
209 & 131 & 80.5961 & 50.4039 \tabularnewline
210 & 101 & 86.4878 & 14.5122 \tabularnewline
211 & 42 & 93.1614 & -51.1614 \tabularnewline
212 & 152 & 128.391 & 23.6091 \tabularnewline
213 & 107 & 124.288 & -17.2881 \tabularnewline
214 & 77 & 86.232 & -9.23201 \tabularnewline
215 & 154 & 136.66 & 17.3396 \tabularnewline
216 & 103 & 130.259 & -27.2593 \tabularnewline
217 & 96 & 90.3337 & 5.66625 \tabularnewline
218 & 175 & 126.47 & 48.5298 \tabularnewline
219 & 57 & 94.1966 & -37.1966 \tabularnewline
220 & 112 & 98.8288 & 13.1712 \tabularnewline
221 & 143 & 125.269 & 17.7307 \tabularnewline
222 & 49 & 78.5777 & -29.5777 \tabularnewline
223 & 110 & 135.515 & -25.5153 \tabularnewline
224 & 131 & 127.013 & 3.98748 \tabularnewline
225 & 167 & 122.588 & 44.4121 \tabularnewline
226 & 56 & 95.0753 & -39.0753 \tabularnewline
227 & 137 & 123.619 & 13.3812 \tabularnewline
228 & 86 & 86.9146 & -0.914588 \tabularnewline
229 & 121 & 134.752 & -13.7519 \tabularnewline
230 & 149 & 131.251 & 17.749 \tabularnewline
231 & 168 & 128.872 & 39.1276 \tabularnewline
232 & 140 & 122.66 & 17.3397 \tabularnewline
233 & 88 & 87.0858 & 0.914185 \tabularnewline
234 & 168 & 128.998 & 39.0025 \tabularnewline
235 & 94 & 128.872 & -34.8724 \tabularnewline
236 & 51 & 134.236 & -83.2357 \tabularnewline
237 & 48 & 92.5603 & -44.5603 \tabularnewline
238 & 145 & 125.591 & 19.4094 \tabularnewline
239 & 66 & 127.28 & -61.2799 \tabularnewline
240 & 85 & 89.3394 & -4.33939 \tabularnewline
241 & 109 & 128.992 & -19.9922 \tabularnewline
242 & 63 & 88.381 & -25.381 \tabularnewline
243 & 102 & 91.4137 & 10.5863 \tabularnewline
244 & 162 & 91.9822 & 70.0178 \tabularnewline
245 & 86 & 91.7006 & -5.70059 \tabularnewline
246 & 114 & 87.4378 & 26.5622 \tabularnewline
247 & 164 & 129.534 & 34.4662 \tabularnewline
248 & 119 & 135.425 & -16.4251 \tabularnewline
249 & 126 & 128.747 & -2.7465 \tabularnewline
250 & 132 & 124.89 & 7.10996 \tabularnewline
251 & 142 & 132.408 & 9.59194 \tabularnewline
252 & 83 & 134.039 & -51.0392 \tabularnewline
253 & 94 & 91.8506 & 2.14937 \tabularnewline
254 & 81 & 89.9866 & -8.98658 \tabularnewline
255 & 166 & 131.377 & 34.6228 \tabularnewline
256 & 110 & 93.0982 & 16.9018 \tabularnewline
257 & 64 & 89.5401 & -25.5401 \tabularnewline
258 & 93 & 135.241 & -42.2407 \tabularnewline
259 & 104 & 89.6966 & 14.3034 \tabularnewline
260 & 105 & 85.196 & 19.804 \tabularnewline
261 & 49 & 81.5464 & -32.5464 \tabularnewline
262 & 88 & 94.6906 & -6.69063 \tabularnewline
263 & 95 & 90.9039 & 4.09613 \tabularnewline
264 & 102 & 91.4137 & 10.5863 \tabularnewline
265 & 99 & 86.7969 & 12.2031 \tabularnewline
266 & 63 & 80.7179 & -17.7179 \tabularnewline
267 & 76 & 97.0689 & -21.0689 \tabularnewline
268 & 109 & 85.2356 & 23.7644 \tabularnewline
269 & 117 & 94.6335 & 22.3665 \tabularnewline
270 & 57 & 93.9593 & -36.9593 \tabularnewline
271 & 120 & 91.4893 & 28.5107 \tabularnewline
272 & 73 & 85.3326 & -12.3326 \tabularnewline
273 & 91 & 80.4117 & 10.5883 \tabularnewline
274 & 108 & 91.224 & 16.776 \tabularnewline
275 & 105 & 90.2191 & 14.7809 \tabularnewline
276 & 117 & 135.908 & -18.908 \tabularnewline
277 & 119 & 95.0753 & 23.9247 \tabularnewline
278 & 31 & 102.502 & -71.5019 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=272973&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]149[/C][C]152.639[/C][C]-3.63867[/C][/ROW]
[ROW][C]2[/C][C]139[/C][C]145.106[/C][C]-6.10567[/C][/ROW]
[ROW][C]3[/C][C]148[/C][C]143.138[/C][C]4.86243[/C][/ROW]
[ROW][C]4[/C][C]158[/C][C]151.519[/C][C]6.48146[/C][/ROW]
[ROW][C]5[/C][C]128[/C][C]149.042[/C][C]-21.042[/C][/ROW]
[ROW][C]6[/C][C]224[/C][C]150.32[/C][C]73.6804[/C][/ROW]
[ROW][C]7[/C][C]159[/C][C]147.942[/C][C]11.0581[/C][/ROW]
[ROW][C]8[/C][C]105[/C][C]146.45[/C][C]-41.4497[/C][/ROW]
[ROW][C]9[/C][C]159[/C][C]153.904[/C][C]5.09647[/C][/ROW]
[ROW][C]10[/C][C]167[/C][C]153.323[/C][C]13.6767[/C][/ROW]
[ROW][C]11[/C][C]165[/C][C]156.606[/C][C]8.39439[/C][/ROW]
[ROW][C]12[/C][C]159[/C][C]141.248[/C][C]17.7524[/C][/ROW]
[ROW][C]13[/C][C]119[/C][C]143.529[/C][C]-24.5291[/C][/ROW]
[ROW][C]14[/C][C]176[/C][C]148.364[/C][C]27.6364[/C][/ROW]
[ROW][C]15[/C][C]54[/C][C]153.312[/C][C]-99.3119[/C][/ROW]
[ROW][C]16[/C][C]91[/C][C]110.228[/C][C]-19.2277[/C][/ROW]
[ROW][C]17[/C][C]163[/C][C]145.427[/C][C]17.5731[/C][/ROW]
[ROW][C]18[/C][C]124[/C][C]147.731[/C][C]-23.7312[/C][/ROW]
[ROW][C]19[/C][C]137[/C][C]108.217[/C][C]28.7827[/C][/ROW]
[ROW][C]20[/C][C]121[/C][C]140.61[/C][C]-19.6104[/C][/ROW]
[ROW][C]21[/C][C]153[/C][C]147.092[/C][C]5.9076[/C][/ROW]
[ROW][C]22[/C][C]148[/C][C]147.151[/C][C]0.848931[/C][/ROW]
[ROW][C]23[/C][C]221[/C][C]147.335[/C][C]73.6646[/C][/ROW]
[ROW][C]24[/C][C]188[/C][C]140.652[/C][C]47.3484[/C][/ROW]
[ROW][C]25[/C][C]149[/C][C]150.619[/C][C]-1.61917[/C][/ROW]
[ROW][C]26[/C][C]244[/C][C]138.876[/C][C]105.124[/C][/ROW]
[ROW][C]27[/C][C]148[/C][C]111.607[/C][C]36.3928[/C][/ROW]
[ROW][C]28[/C][C]92[/C][C]105.398[/C][C]-13.3984[/C][/ROW]
[ROW][C]29[/C][C]150[/C][C]143.259[/C][C]6.74143[/C][/ROW]
[ROW][C]30[/C][C]153[/C][C]139.982[/C][C]13.0183[/C][/ROW]
[ROW][C]31[/C][C]94[/C][C]141.685[/C][C]-47.6847[/C][/ROW]
[ROW][C]32[/C][C]156[/C][C]144.588[/C][C]11.4121[/C][/ROW]
[ROW][C]33[/C][C]132[/C][C]149.982[/C][C]-17.982[/C][/ROW]
[ROW][C]34[/C][C]161[/C][C]146.431[/C][C]14.5686[/C][/ROW]
[ROW][C]35[/C][C]105[/C][C]148.195[/C][C]-43.1946[/C][/ROW]
[ROW][C]36[/C][C]97[/C][C]140.234[/C][C]-43.2342[/C][/ROW]
[ROW][C]37[/C][C]151[/C][C]142.843[/C][C]8.15659[/C][/ROW]
[ROW][C]38[/C][C]131[/C][C]101.732[/C][C]29.2684[/C][/ROW]
[ROW][C]39[/C][C]166[/C][C]147.621[/C][C]18.3793[/C][/ROW]
[ROW][C]40[/C][C]157[/C][C]147.592[/C][C]9.40836[/C][/ROW]
[ROW][C]41[/C][C]111[/C][C]146.32[/C][C]-35.3204[/C][/ROW]
[ROW][C]42[/C][C]145[/C][C]141.384[/C][C]3.6156[/C][/ROW]
[ROW][C]43[/C][C]162[/C][C]145.398[/C][C]16.6021[/C][/ROW]
[ROW][C]44[/C][C]163[/C][C]144.851[/C][C]18.149[/C][/ROW]
[ROW][C]45[/C][C]59[/C][C]97.754[/C][C]-38.754[/C][/ROW]
[ROW][C]46[/C][C]187[/C][C]149.213[/C][C]37.7868[/C][/ROW]
[ROW][C]47[/C][C]109[/C][C]143.98[/C][C]-34.9798[/C][/ROW]
[ROW][C]48[/C][C]90[/C][C]98.9401[/C][C]-8.94014[/C][/ROW]
[ROW][C]49[/C][C]105[/C][C]153.636[/C][C]-48.6362[/C][/ROW]
[ROW][C]50[/C][C]83[/C][C]105.991[/C][C]-22.9907[/C][/ROW]
[ROW][C]51[/C][C]116[/C][C]100.115[/C][C]15.8848[/C][/ROW]
[ROW][C]52[/C][C]42[/C][C]99.7143[/C][C]-57.7143[/C][/ROW]
[ROW][C]53[/C][C]148[/C][C]137.35[/C][C]10.6502[/C][/ROW]
[ROW][C]54[/C][C]155[/C][C]107.037[/C][C]47.9625[/C][/ROW]
[ROW][C]55[/C][C]125[/C][C]144.327[/C][C]-19.3269[/C][/ROW]
[ROW][C]56[/C][C]116[/C][C]145.362[/C][C]-29.3619[/C][/ROW]
[ROW][C]57[/C][C]128[/C][C]101.537[/C][C]26.4634[/C][/ROW]
[ROW][C]58[/C][C]138[/C][C]149.1[/C][C]-11.1002[/C][/ROW]
[ROW][C]59[/C][C]49[/C][C]100.645[/C][C]-51.6448[/C][/ROW]
[ROW][C]60[/C][C]96[/C][C]111.416[/C][C]-15.4159[/C][/ROW]
[ROW][C]61[/C][C]164[/C][C]151.89[/C][C]12.1096[/C][/ROW]
[ROW][C]62[/C][C]162[/C][C]149.599[/C][C]12.4006[/C][/ROW]
[ROW][C]63[/C][C]99[/C][C]136.251[/C][C]-37.2514[/C][/ROW]
[ROW][C]64[/C][C]202[/C][C]144.759[/C][C]57.2409[/C][/ROW]
[ROW][C]65[/C][C]186[/C][C]144.588[/C][C]41.4121[/C][/ROW]
[ROW][C]66[/C][C]66[/C][C]98.9909[/C][C]-32.9909[/C][/ROW]
[ROW][C]67[/C][C]183[/C][C]139.103[/C][C]43.8971[/C][/ROW]
[ROW][C]68[/C][C]214[/C][C]140.3[/C][C]73.7003[/C][/ROW]
[ROW][C]69[/C][C]188[/C][C]144.958[/C][C]43.0421[/C][/ROW]
[ROW][C]70[/C][C]104[/C][C]100.507[/C][C]3.49315[/C][/ROW]
[ROW][C]71[/C][C]177[/C][C]151.313[/C][C]25.6871[/C][/ROW]
[ROW][C]72[/C][C]126[/C][C]148.977[/C][C]-22.9771[/C][/ROW]
[ROW][C]73[/C][C]76[/C][C]107.659[/C][C]-31.6587[/C][/ROW]
[ROW][C]74[/C][C]99[/C][C]103.324[/C][C]-4.32398[/C][/ROW]
[ROW][C]75[/C][C]139[/C][C]147.46[/C][C]-8.46023[/C][/ROW]
[ROW][C]76[/C][C]162[/C][C]154.515[/C][C]7.4852[/C][/ROW]
[ROW][C]77[/C][C]108[/C][C]109.376[/C][C]-1.37588[/C][/ROW]
[ROW][C]78[/C][C]159[/C][C]145.403[/C][C]13.5967[/C][/ROW]
[ROW][C]79[/C][C]74[/C][C]98.9593[/C][C]-24.9593[/C][/ROW]
[ROW][C]80[/C][C]110[/C][C]147.846[/C][C]-37.8463[/C][/ROW]
[ROW][C]81[/C][C]96[/C][C]106.964[/C][C]-10.9644[/C][/ROW]
[ROW][C]82[/C][C]116[/C][C]105.738[/C][C]10.2618[/C][/ROW]
[ROW][C]83[/C][C]87[/C][C]101.731[/C][C]-14.7315[/C][/ROW]
[ROW][C]84[/C][C]97[/C][C]99.5141[/C][C]-2.51407[/C][/ROW]
[ROW][C]85[/C][C]127[/C][C]102.839[/C][C]24.1614[/C][/ROW]
[ROW][C]86[/C][C]106[/C][C]109.704[/C][C]-3.70414[/C][/ROW]
[ROW][C]87[/C][C]80[/C][C]101.055[/C][C]-21.0547[/C][/ROW]
[ROW][C]88[/C][C]74[/C][C]103.129[/C][C]-29.1291[/C][/ROW]
[ROW][C]89[/C][C]91[/C][C]106.007[/C][C]-15.0066[/C][/ROW]
[ROW][C]90[/C][C]133[/C][C]102.123[/C][C]30.8769[/C][/ROW]
[ROW][C]91[/C][C]74[/C][C]104.598[/C][C]-30.5985[/C][/ROW]
[ROW][C]92[/C][C]114[/C][C]96.1684[/C][C]17.8316[/C][/ROW]
[ROW][C]93[/C][C]140[/C][C]105.308[/C][C]34.6919[/C][/ROW]
[ROW][C]94[/C][C]95[/C][C]99.83[/C][C]-4.82998[/C][/ROW]
[ROW][C]95[/C][C]98[/C][C]103.239[/C][C]-5.23901[/C][/ROW]
[ROW][C]96[/C][C]121[/C][C]108.573[/C][C]12.4271[/C][/ROW]
[ROW][C]97[/C][C]126[/C][C]110.999[/C][C]15.001[/C][/ROW]
[ROW][C]98[/C][C]98[/C][C]103.961[/C][C]-5.96115[/C][/ROW]
[ROW][C]99[/C][C]95[/C][C]105.393[/C][C]-10.3931[/C][/ROW]
[ROW][C]100[/C][C]110[/C][C]99.6624[/C][C]10.3376[/C][/ROW]
[ROW][C]101[/C][C]70[/C][C]102.451[/C][C]-32.4506[/C][/ROW]
[ROW][C]102[/C][C]102[/C][C]101.858[/C][C]0.142142[/C][/ROW]
[ROW][C]103[/C][C]86[/C][C]108.895[/C][C]-22.8952[/C][/ROW]
[ROW][C]104[/C][C]130[/C][C]103.56[/C][C]26.4397[/C][/ROW]
[ROW][C]105[/C][C]96[/C][C]105.445[/C][C]-9.44498[/C][/ROW]
[ROW][C]106[/C][C]102[/C][C]107.434[/C][C]-5.43426[/C][/ROW]
[ROW][C]107[/C][C]100[/C][C]102.989[/C][C]-2.98867[/C][/ROW]
[ROW][C]108[/C][C]94[/C][C]106.913[/C][C]-12.9134[/C][/ROW]
[ROW][C]109[/C][C]52[/C][C]104.388[/C][C]-52.3882[/C][/ROW]
[ROW][C]110[/C][C]98[/C][C]102.26[/C][C]-4.26002[/C][/ROW]
[ROW][C]111[/C][C]118[/C][C]107.071[/C][C]10.9292[/C][/ROW]
[ROW][C]112[/C][C]99[/C][C]99.8231[/C][C]-0.823115[/C][/ROW]
[ROW][C]113[/C][C]48[/C][C]127.47[/C][C]-79.4699[/C][/ROW]
[ROW][C]114[/C][C]50[/C][C]121.508[/C][C]-71.5084[/C][/ROW]
[ROW][C]115[/C][C]150[/C][C]125.843[/C][C]24.1569[/C][/ROW]
[ROW][C]116[/C][C]154[/C][C]124.814[/C][C]29.1857[/C][/ROW]
[ROW][C]117[/C][C]109[/C][C]94.2066[/C][C]14.7934[/C][/ROW]
[ROW][C]118[/C][C]68[/C][C]85.7296[/C][C]-17.7296[/C][/ROW]
[ROW][C]119[/C][C]194[/C][C]137.097[/C][C]56.9027[/C][/ROW]
[ROW][C]120[/C][C]158[/C][C]123.101[/C][C]34.8992[/C][/ROW]
[ROW][C]121[/C][C]159[/C][C]134.115[/C][C]24.8853[/C][/ROW]
[ROW][C]122[/C][C]67[/C][C]129.228[/C][C]-62.2285[/C][/ROW]
[ROW][C]123[/C][C]147[/C][C]125.199[/C][C]21.8009[/C][/ROW]
[ROW][C]124[/C][C]39[/C][C]132.643[/C][C]-93.6432[/C][/ROW]
[ROW][C]125[/C][C]100[/C][C]123.422[/C][C]-23.4222[/C][/ROW]
[ROW][C]126[/C][C]111[/C][C]126.626[/C][C]-15.6257[/C][/ROW]
[ROW][C]127[/C][C]138[/C][C]131.8[/C][C]6.20007[/C][/ROW]
[ROW][C]128[/C][C]101[/C][C]125.567[/C][C]-24.5669[/C][/ROW]
[ROW][C]129[/C][C]131[/C][C]93.0131[/C][C]37.9869[/C][/ROW]
[ROW][C]130[/C][C]101[/C][C]131.085[/C][C]-30.0849[/C][/ROW]
[ROW][C]131[/C][C]114[/C][C]125.291[/C][C]-11.2909[/C][/ROW]
[ROW][C]132[/C][C]165[/C][C]134.804[/C][C]30.1962[/C][/ROW]
[ROW][C]133[/C][C]114[/C][C]127.882[/C][C]-13.8817[/C][/ROW]
[ROW][C]134[/C][C]111[/C][C]121.789[/C][C]-10.7885[/C][/ROW]
[ROW][C]135[/C][C]75[/C][C]125.688[/C][C]-50.6878[/C][/ROW]
[ROW][C]136[/C][C]82[/C][C]127.745[/C][C]-45.7448[/C][/ROW]
[ROW][C]137[/C][C]121[/C][C]123.577[/C][C]-2.57744[/C][/ROW]
[ROW][C]138[/C][C]32[/C][C]135.049[/C][C]-103.049[/C][/ROW]
[ROW][C]139[/C][C]150[/C][C]132.046[/C][C]17.9544[/C][/ROW]
[ROW][C]140[/C][C]117[/C][C]130.694[/C][C]-13.6935[/C][/ROW]
[ROW][C]141[/C][C]71[/C][C]84.2458[/C][C]-13.2458[/C][/ROW]
[ROW][C]142[/C][C]165[/C][C]122.66[/C][C]42.3397[/C][/ROW]
[ROW][C]143[/C][C]154[/C][C]127.28[/C][C]26.7201[/C][/ROW]
[ROW][C]144[/C][C]126[/C][C]126.923[/C][C]-0.92309[/C][/ROW]
[ROW][C]145[/C][C]149[/C][C]127.47[/C][C]21.5301[/C][/ROW]
[ROW][C]146[/C][C]145[/C][C]136.108[/C][C]8.89172[/C][/ROW]
[ROW][C]147[/C][C]120[/C][C]124.306[/C][C]-4.30627[/C][/ROW]
[ROW][C]148[/C][C]109[/C][C]130.05[/C][C]-21.05[/C][/ROW]
[ROW][C]149[/C][C]132[/C][C]127.888[/C][C]4.11197[/C][/ROW]
[ROW][C]150[/C][C]172[/C][C]127.068[/C][C]44.9322[/C][/ROW]
[ROW][C]151[/C][C]169[/C][C]130.529[/C][C]38.4713[/C][/ROW]
[ROW][C]152[/C][C]114[/C][C]137.458[/C][C]-23.4581[/C][/ROW]
[ROW][C]153[/C][C]156[/C][C]134.712[/C][C]21.2877[/C][/ROW]
[ROW][C]154[/C][C]172[/C][C]130.207[/C][C]41.7925[/C][/ROW]
[ROW][C]155[/C][C]68[/C][C]89.3155[/C][C]-21.3155[/C][/ROW]
[ROW][C]156[/C][C]89[/C][C]86.5479[/C][C]2.45208[/C][/ROW]
[ROW][C]157[/C][C]167[/C][C]131.022[/C][C]35.9784[/C][/ROW]
[ROW][C]158[/C][C]113[/C][C]131.246[/C][C]-18.2456[/C][/ROW]
[ROW][C]159[/C][C]115[/C][C]93.7697[/C][C]21.2303[/C][/ROW]
[ROW][C]160[/C][C]78[/C][C]88.3893[/C][C]-10.3893[/C][/ROW]
[ROW][C]161[/C][C]118[/C][C]93.4141[/C][C]24.5859[/C][/ROW]
[ROW][C]162[/C][C]87[/C][C]87.5519[/C][C]-0.551893[/C][/ROW]
[ROW][C]163[/C][C]173[/C][C]133.762[/C][C]39.2377[/C][/ROW]
[ROW][C]164[/C][C]2[/C][C]127.56[/C][C]-125.56[/C][/ROW]
[ROW][C]165[/C][C]162[/C][C]91.9822[/C][C]70.0178[/C][/ROW]
[ROW][C]166[/C][C]49[/C][C]81.5464[/C][C]-32.5464[/C][/ROW]
[ROW][C]167[/C][C]122[/C][C]94.8855[/C][C]27.1145[/C][/ROW]
[ROW][C]168[/C][C]96[/C][C]87.3674[/C][C]8.63262[/C][/ROW]
[ROW][C]169[/C][C]100[/C][C]88.6837[/C][C]11.3163[/C][/ROW]
[ROW][C]170[/C][C]82[/C][C]83.9009[/C][C]-1.90086[/C][/ROW]
[ROW][C]171[/C][C]100[/C][C]91.5399[/C][C]8.46011[/C][/ROW]
[ROW][C]172[/C][C]115[/C][C]92.4049[/C][C]22.5951[/C][/ROW]
[ROW][C]173[/C][C]141[/C][C]103.925[/C][C]37.0746[/C][/ROW]
[ROW][C]174[/C][C]165[/C][C]127.239[/C][C]37.761[/C][/ROW]
[ROW][C]175[/C][C]165[/C][C]127.239[/C][C]37.761[/C][/ROW]
[ROW][C]176[/C][C]110[/C][C]84.5762[/C][C]25.4238[/C][/ROW]
[ROW][C]177[/C][C]118[/C][C]126.506[/C][C]-8.50619[/C][/ROW]
[ROW][C]178[/C][C]158[/C][C]131.588[/C][C]26.4124[/C][/ROW]
[ROW][C]179[/C][C]146[/C][C]92.3241[/C][C]53.6759[/C][/ROW]
[ROW][C]180[/C][C]49[/C][C]127.436[/C][C]-78.4357[/C][/ROW]
[ROW][C]181[/C][C]90[/C][C]92.1275[/C][C]-2.12748[/C][/ROW]
[ROW][C]182[/C][C]121[/C][C]91.3049[/C][C]29.6951[/C][/ROW]
[ROW][C]183[/C][C]155[/C][C]138.032[/C][C]16.968[/C][/ROW]
[ROW][C]184[/C][C]104[/C][C]96.3307[/C][C]7.66929[/C][/ROW]
[ROW][C]185[/C][C]147[/C][C]91.3688[/C][C]55.6312[/C][/ROW]
[ROW][C]186[/C][C]110[/C][C]98.1398[/C][C]11.8602[/C][/ROW]
[ROW][C]187[/C][C]108[/C][C]98.1398[/C][C]9.86018[/C][/ROW]
[ROW][C]188[/C][C]113[/C][C]98.1398[/C][C]14.8602[/C][/ROW]
[ROW][C]189[/C][C]115[/C][C]96.5473[/C][C]18.4527[/C][/ROW]
[ROW][C]190[/C][C]61[/C][C]100.961[/C][C]-39.9614[/C][/ROW]
[ROW][C]191[/C][C]60[/C][C]91.224[/C][C]-31.224[/C][/ROW]
[ROW][C]192[/C][C]109[/C][C]78.8075[/C][C]30.1925[/C][/ROW]
[ROW][C]193[/C][C]68[/C][C]81.1428[/C][C]-13.1428[/C][/ROW]
[ROW][C]194[/C][C]111[/C][C]86.8016[/C][C]24.1984[/C][/ROW]
[ROW][C]195[/C][C]77[/C][C]88.4359[/C][C]-11.4359[/C][/ROW]
[ROW][C]196[/C][C]73[/C][C]93.2534[/C][C]-20.2534[/C][/ROW]
[ROW][C]197[/C][C]151[/C][C]137.465[/C][C]13.5349[/C][/ROW]
[ROW][C]198[/C][C]89[/C][C]83.5967[/C][C]5.40332[/C][/ROW]
[ROW][C]199[/C][C]78[/C][C]84.8404[/C][C]-6.84039[/C][/ROW]
[ROW][C]200[/C][C]110[/C][C]87.6221[/C][C]22.3779[/C][/ROW]
[ROW][C]201[/C][C]220[/C][C]134.115[/C][C]85.8853[/C][/ROW]
[ROW][C]202[/C][C]65[/C][C]93.6504[/C][C]-28.6504[/C][/ROW]
[ROW][C]203[/C][C]141[/C][C]123.2[/C][C]17.7998[/C][/ROW]
[ROW][C]204[/C][C]117[/C][C]91.074[/C][C]25.926[/C][/ROW]
[ROW][C]205[/C][C]122[/C][C]129.474[/C][C]-7.47414[/C][/ROW]
[ROW][C]206[/C][C]63[/C][C]88.6678[/C][C]-25.6678[/C][/ROW]
[ROW][C]207[/C][C]44[/C][C]124[/C][C]-80.0002[/C][/ROW]
[ROW][C]208[/C][C]52[/C][C]88.839[/C][C]-36.839[/C][/ROW]
[ROW][C]209[/C][C]131[/C][C]80.5961[/C][C]50.4039[/C][/ROW]
[ROW][C]210[/C][C]101[/C][C]86.4878[/C][C]14.5122[/C][/ROW]
[ROW][C]211[/C][C]42[/C][C]93.1614[/C][C]-51.1614[/C][/ROW]
[ROW][C]212[/C][C]152[/C][C]128.391[/C][C]23.6091[/C][/ROW]
[ROW][C]213[/C][C]107[/C][C]124.288[/C][C]-17.2881[/C][/ROW]
[ROW][C]214[/C][C]77[/C][C]86.232[/C][C]-9.23201[/C][/ROW]
[ROW][C]215[/C][C]154[/C][C]136.66[/C][C]17.3396[/C][/ROW]
[ROW][C]216[/C][C]103[/C][C]130.259[/C][C]-27.2593[/C][/ROW]
[ROW][C]217[/C][C]96[/C][C]90.3337[/C][C]5.66625[/C][/ROW]
[ROW][C]218[/C][C]175[/C][C]126.47[/C][C]48.5298[/C][/ROW]
[ROW][C]219[/C][C]57[/C][C]94.1966[/C][C]-37.1966[/C][/ROW]
[ROW][C]220[/C][C]112[/C][C]98.8288[/C][C]13.1712[/C][/ROW]
[ROW][C]221[/C][C]143[/C][C]125.269[/C][C]17.7307[/C][/ROW]
[ROW][C]222[/C][C]49[/C][C]78.5777[/C][C]-29.5777[/C][/ROW]
[ROW][C]223[/C][C]110[/C][C]135.515[/C][C]-25.5153[/C][/ROW]
[ROW][C]224[/C][C]131[/C][C]127.013[/C][C]3.98748[/C][/ROW]
[ROW][C]225[/C][C]167[/C][C]122.588[/C][C]44.4121[/C][/ROW]
[ROW][C]226[/C][C]56[/C][C]95.0753[/C][C]-39.0753[/C][/ROW]
[ROW][C]227[/C][C]137[/C][C]123.619[/C][C]13.3812[/C][/ROW]
[ROW][C]228[/C][C]86[/C][C]86.9146[/C][C]-0.914588[/C][/ROW]
[ROW][C]229[/C][C]121[/C][C]134.752[/C][C]-13.7519[/C][/ROW]
[ROW][C]230[/C][C]149[/C][C]131.251[/C][C]17.749[/C][/ROW]
[ROW][C]231[/C][C]168[/C][C]128.872[/C][C]39.1276[/C][/ROW]
[ROW][C]232[/C][C]140[/C][C]122.66[/C][C]17.3397[/C][/ROW]
[ROW][C]233[/C][C]88[/C][C]87.0858[/C][C]0.914185[/C][/ROW]
[ROW][C]234[/C][C]168[/C][C]128.998[/C][C]39.0025[/C][/ROW]
[ROW][C]235[/C][C]94[/C][C]128.872[/C][C]-34.8724[/C][/ROW]
[ROW][C]236[/C][C]51[/C][C]134.236[/C][C]-83.2357[/C][/ROW]
[ROW][C]237[/C][C]48[/C][C]92.5603[/C][C]-44.5603[/C][/ROW]
[ROW][C]238[/C][C]145[/C][C]125.591[/C][C]19.4094[/C][/ROW]
[ROW][C]239[/C][C]66[/C][C]127.28[/C][C]-61.2799[/C][/ROW]
[ROW][C]240[/C][C]85[/C][C]89.3394[/C][C]-4.33939[/C][/ROW]
[ROW][C]241[/C][C]109[/C][C]128.992[/C][C]-19.9922[/C][/ROW]
[ROW][C]242[/C][C]63[/C][C]88.381[/C][C]-25.381[/C][/ROW]
[ROW][C]243[/C][C]102[/C][C]91.4137[/C][C]10.5863[/C][/ROW]
[ROW][C]244[/C][C]162[/C][C]91.9822[/C][C]70.0178[/C][/ROW]
[ROW][C]245[/C][C]86[/C][C]91.7006[/C][C]-5.70059[/C][/ROW]
[ROW][C]246[/C][C]114[/C][C]87.4378[/C][C]26.5622[/C][/ROW]
[ROW][C]247[/C][C]164[/C][C]129.534[/C][C]34.4662[/C][/ROW]
[ROW][C]248[/C][C]119[/C][C]135.425[/C][C]-16.4251[/C][/ROW]
[ROW][C]249[/C][C]126[/C][C]128.747[/C][C]-2.7465[/C][/ROW]
[ROW][C]250[/C][C]132[/C][C]124.89[/C][C]7.10996[/C][/ROW]
[ROW][C]251[/C][C]142[/C][C]132.408[/C][C]9.59194[/C][/ROW]
[ROW][C]252[/C][C]83[/C][C]134.039[/C][C]-51.0392[/C][/ROW]
[ROW][C]253[/C][C]94[/C][C]91.8506[/C][C]2.14937[/C][/ROW]
[ROW][C]254[/C][C]81[/C][C]89.9866[/C][C]-8.98658[/C][/ROW]
[ROW][C]255[/C][C]166[/C][C]131.377[/C][C]34.6228[/C][/ROW]
[ROW][C]256[/C][C]110[/C][C]93.0982[/C][C]16.9018[/C][/ROW]
[ROW][C]257[/C][C]64[/C][C]89.5401[/C][C]-25.5401[/C][/ROW]
[ROW][C]258[/C][C]93[/C][C]135.241[/C][C]-42.2407[/C][/ROW]
[ROW][C]259[/C][C]104[/C][C]89.6966[/C][C]14.3034[/C][/ROW]
[ROW][C]260[/C][C]105[/C][C]85.196[/C][C]19.804[/C][/ROW]
[ROW][C]261[/C][C]49[/C][C]81.5464[/C][C]-32.5464[/C][/ROW]
[ROW][C]262[/C][C]88[/C][C]94.6906[/C][C]-6.69063[/C][/ROW]
[ROW][C]263[/C][C]95[/C][C]90.9039[/C][C]4.09613[/C][/ROW]
[ROW][C]264[/C][C]102[/C][C]91.4137[/C][C]10.5863[/C][/ROW]
[ROW][C]265[/C][C]99[/C][C]86.7969[/C][C]12.2031[/C][/ROW]
[ROW][C]266[/C][C]63[/C][C]80.7179[/C][C]-17.7179[/C][/ROW]
[ROW][C]267[/C][C]76[/C][C]97.0689[/C][C]-21.0689[/C][/ROW]
[ROW][C]268[/C][C]109[/C][C]85.2356[/C][C]23.7644[/C][/ROW]
[ROW][C]269[/C][C]117[/C][C]94.6335[/C][C]22.3665[/C][/ROW]
[ROW][C]270[/C][C]57[/C][C]93.9593[/C][C]-36.9593[/C][/ROW]
[ROW][C]271[/C][C]120[/C][C]91.4893[/C][C]28.5107[/C][/ROW]
[ROW][C]272[/C][C]73[/C][C]85.3326[/C][C]-12.3326[/C][/ROW]
[ROW][C]273[/C][C]91[/C][C]80.4117[/C][C]10.5883[/C][/ROW]
[ROW][C]274[/C][C]108[/C][C]91.224[/C][C]16.776[/C][/ROW]
[ROW][C]275[/C][C]105[/C][C]90.2191[/C][C]14.7809[/C][/ROW]
[ROW][C]276[/C][C]117[/C][C]135.908[/C][C]-18.908[/C][/ROW]
[ROW][C]277[/C][C]119[/C][C]95.0753[/C][C]23.9247[/C][/ROW]
[ROW][C]278[/C][C]31[/C][C]102.502[/C][C]-71.5019[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=272973&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=272973&T=4

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	149	152.639	-3.63867
2	139	145.106	-6.10567
3	148	143.138	4.86243
4	158	151.519	6.48146
5	128	149.042	-21.042
6	224	150.32	73.6804
7	159	147.942	11.0581
8	105	146.45	-41.4497
9	159	153.904	5.09647
10	167	153.323	13.6767
11	165	156.606	8.39439
12	159	141.248	17.7524
13	119	143.529	-24.5291
14	176	148.364	27.6364
15	54	153.312	-99.3119
16	91	110.228	-19.2277
17	163	145.427	17.5731
18	124	147.731	-23.7312
19	137	108.217	28.7827
20	121	140.61	-19.6104
21	153	147.092	5.9076
22	148	147.151	0.848931
23	221	147.335	73.6646
24	188	140.652	47.3484
25	149	150.619	-1.61917
26	244	138.876	105.124
27	148	111.607	36.3928
28	92	105.398	-13.3984
29	150	143.259	6.74143
30	153	139.982	13.0183
31	94	141.685	-47.6847
32	156	144.588	11.4121
33	132	149.982	-17.982
34	161	146.431	14.5686
35	105	148.195	-43.1946
36	97	140.234	-43.2342
37	151	142.843	8.15659
38	131	101.732	29.2684
39	166	147.621	18.3793
40	157	147.592	9.40836
41	111	146.32	-35.3204
42	145	141.384	3.6156
43	162	145.398	16.6021
44	163	144.851	18.149
45	59	97.754	-38.754
46	187	149.213	37.7868
47	109	143.98	-34.9798
48	90	98.9401	-8.94014
49	105	153.636	-48.6362
50	83	105.991	-22.9907
51	116	100.115	15.8848
52	42	99.7143	-57.7143
53	148	137.35	10.6502
54	155	107.037	47.9625
55	125	144.327	-19.3269
56	116	145.362	-29.3619
57	128	101.537	26.4634
58	138	149.1	-11.1002
59	49	100.645	-51.6448
60	96	111.416	-15.4159
61	164	151.89	12.1096
62	162	149.599	12.4006
63	99	136.251	-37.2514
64	202	144.759	57.2409
65	186	144.588	41.4121
66	66	98.9909	-32.9909
67	183	139.103	43.8971
68	214	140.3	73.7003
69	188	144.958	43.0421
70	104	100.507	3.49315
71	177	151.313	25.6871
72	126	148.977	-22.9771
73	76	107.659	-31.6587
74	99	103.324	-4.32398
75	139	147.46	-8.46023
76	162	154.515	7.4852
77	108	109.376	-1.37588
78	159	145.403	13.5967
79	74	98.9593	-24.9593
80	110	147.846	-37.8463
81	96	106.964	-10.9644
82	116	105.738	10.2618
83	87	101.731	-14.7315
84	97	99.5141	-2.51407
85	127	102.839	24.1614
86	106	109.704	-3.70414
87	80	101.055	-21.0547
88	74	103.129	-29.1291
89	91	106.007	-15.0066
90	133	102.123	30.8769
91	74	104.598	-30.5985
92	114	96.1684	17.8316
93	140	105.308	34.6919
94	95	99.83	-4.82998
95	98	103.239	-5.23901
96	121	108.573	12.4271
97	126	110.999	15.001
98	98	103.961	-5.96115
99	95	105.393	-10.3931
100	110	99.6624	10.3376
101	70	102.451	-32.4506
102	102	101.858	0.142142
103	86	108.895	-22.8952
104	130	103.56	26.4397
105	96	105.445	-9.44498
106	102	107.434	-5.43426
107	100	102.989	-2.98867
108	94	106.913	-12.9134
109	52	104.388	-52.3882
110	98	102.26	-4.26002
111	118	107.071	10.9292
112	99	99.8231	-0.823115
113	48	127.47	-79.4699
114	50	121.508	-71.5084
115	150	125.843	24.1569
116	154	124.814	29.1857
117	109	94.2066	14.7934
118	68	85.7296	-17.7296
119	194	137.097	56.9027
120	158	123.101	34.8992
121	159	134.115	24.8853
122	67	129.228	-62.2285
123	147	125.199	21.8009
124	39	132.643	-93.6432
125	100	123.422	-23.4222
126	111	126.626	-15.6257
127	138	131.8	6.20007
128	101	125.567	-24.5669
129	131	93.0131	37.9869
130	101	131.085	-30.0849
131	114	125.291	-11.2909
132	165	134.804	30.1962
133	114	127.882	-13.8817
134	111	121.789	-10.7885
135	75	125.688	-50.6878
136	82	127.745	-45.7448
137	121	123.577	-2.57744
138	32	135.049	-103.049
139	150	132.046	17.9544
140	117	130.694	-13.6935
141	71	84.2458	-13.2458
142	165	122.66	42.3397
143	154	127.28	26.7201
144	126	126.923	-0.92309
145	149	127.47	21.5301
146	145	136.108	8.89172
147	120	124.306	-4.30627
148	109	130.05	-21.05
149	132	127.888	4.11197
150	172	127.068	44.9322
151	169	130.529	38.4713
152	114	137.458	-23.4581
153	156	134.712	21.2877
154	172	130.207	41.7925
155	68	89.3155	-21.3155
156	89	86.5479	2.45208
157	167	131.022	35.9784
158	113	131.246	-18.2456
159	115	93.7697	21.2303
160	78	88.3893	-10.3893
161	118	93.4141	24.5859
162	87	87.5519	-0.551893
163	173	133.762	39.2377
164	2	127.56	-125.56
165	162	91.9822	70.0178
166	49	81.5464	-32.5464
167	122	94.8855	27.1145
168	96	87.3674	8.63262
169	100	88.6837	11.3163
170	82	83.9009	-1.90086
171	100	91.5399	8.46011
172	115	92.4049	22.5951
173	141	103.925	37.0746
174	165	127.239	37.761
175	165	127.239	37.761
176	110	84.5762	25.4238
177	118	126.506	-8.50619
178	158	131.588	26.4124
179	146	92.3241	53.6759
180	49	127.436	-78.4357
181	90	92.1275	-2.12748
182	121	91.3049	29.6951
183	155	138.032	16.968
184	104	96.3307	7.66929
185	147	91.3688	55.6312
186	110	98.1398	11.8602
187	108	98.1398	9.86018
188	113	98.1398	14.8602
189	115	96.5473	18.4527
190	61	100.961	-39.9614
191	60	91.224	-31.224
192	109	78.8075	30.1925
193	68	81.1428	-13.1428
194	111	86.8016	24.1984
195	77	88.4359	-11.4359
196	73	93.2534	-20.2534
197	151	137.465	13.5349
198	89	83.5967	5.40332
199	78	84.8404	-6.84039
200	110	87.6221	22.3779
201	220	134.115	85.8853
202	65	93.6504	-28.6504
203	141	123.2	17.7998
204	117	91.074	25.926
205	122	129.474	-7.47414
206	63	88.6678	-25.6678
207	44	124	-80.0002
208	52	88.839	-36.839
209	131	80.5961	50.4039
210	101	86.4878	14.5122
211	42	93.1614	-51.1614
212	152	128.391	23.6091
213	107	124.288	-17.2881
214	77	86.232	-9.23201
215	154	136.66	17.3396
216	103	130.259	-27.2593
217	96	90.3337	5.66625
218	175	126.47	48.5298
219	57	94.1966	-37.1966
220	112	98.8288	13.1712
221	143	125.269	17.7307
222	49	78.5777	-29.5777
223	110	135.515	-25.5153
224	131	127.013	3.98748
225	167	122.588	44.4121
226	56	95.0753	-39.0753
227	137	123.619	13.3812
228	86	86.9146	-0.914588
229	121	134.752	-13.7519
230	149	131.251	17.749
231	168	128.872	39.1276
232	140	122.66	17.3397
233	88	87.0858	0.914185
234	168	128.998	39.0025
235	94	128.872	-34.8724
236	51	134.236	-83.2357
237	48	92.5603	-44.5603
238	145	125.591	19.4094
239	66	127.28	-61.2799
240	85	89.3394	-4.33939
241	109	128.992	-19.9922
242	63	88.381	-25.381
243	102	91.4137	10.5863
244	162	91.9822	70.0178
245	86	91.7006	-5.70059
246	114	87.4378	26.5622
247	164	129.534	34.4662
248	119	135.425	-16.4251
249	126	128.747	-2.7465
250	132	124.89	7.10996
251	142	132.408	9.59194
252	83	134.039	-51.0392
253	94	91.8506	2.14937
254	81	89.9866	-8.98658
255	166	131.377	34.6228
256	110	93.0982	16.9018
257	64	89.5401	-25.5401
258	93	135.241	-42.2407
259	104	89.6966	14.3034
260	105	85.196	19.804
261	49	81.5464	-32.5464
262	88	94.6906	-6.69063
263	95	90.9039	4.09613
264	102	91.4137	10.5863
265	99	86.7969	12.2031
266	63	80.7179	-17.7179
267	76	97.0689	-21.0689
268	109	85.2356	23.7644
269	117	94.6335	22.3665
270	57	93.9593	-36.9593
271	120	91.4893	28.5107
272	73	85.3326	-12.3326
273	91	80.4117	10.5883
274	108	91.224	16.776
275	105	90.2191	14.7809
276	117	135.908	-18.908
277	119	95.0753	23.9247
278	31	102.502	-71.5019

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
12	0.219295	0.43859	0.780705
13	0.12817	0.256341	0.87183
14	0.0601409	0.120282	0.939859
15	0.934375	0.131249	0.0656247
16	0.893705	0.212591	0.106295
17	0.866663	0.266675	0.133337
18	0.85613	0.287739	0.14387
19	0.894501	0.210998	0.105499
20	0.900955	0.19809	0.0990448
21	0.86055	0.278901	0.13945
22	0.817402	0.365196	0.182598
23	0.912433	0.175134	0.087567
24	0.909613	0.180773	0.0903865
25	0.89977	0.20046	0.10023
26	0.921308	0.157385	0.0786925
27	0.929517	0.140965	0.0704827
28	0.922655	0.15469	0.0773448
29	0.897078	0.205844	0.102922
30	0.872735	0.254529	0.127265
31	0.964732	0.0705363	0.0352681
32	0.95221	0.0955799	0.0477899
33	0.937969	0.124061	0.0620307
34	0.925175	0.149651	0.0748253
35	0.927636	0.144727	0.0723636
36	0.926928	0.146144	0.0730722
37	0.912593	0.174815	0.0874073
38	0.892128	0.215744	0.107872
39	0.880836	0.238328	0.119164
40	0.860084	0.279832	0.139916
41	0.849707	0.300585	0.150293
42	0.819727	0.360547	0.180273
43	0.792053	0.415895	0.207947
44	0.780153	0.439694	0.219847
45	0.810589	0.378823	0.189411
46	0.827018	0.345964	0.172982
47	0.859966	0.280067	0.140034
48	0.837705	0.32459	0.162295
49	0.876116	0.247767	0.123884
50	0.85569	0.288619	0.14431
51	0.831987	0.336027	0.168013
52	0.882572	0.234857	0.117428
53	0.859044	0.281913	0.140956
54	0.884967	0.230066	0.115033
55	0.87604	0.24792	0.12396
56	0.865569	0.268862	0.134431
57	0.858584	0.282832	0.141416
58	0.838425	0.323149	0.161575
59	0.872777	0.254445	0.127223
60	0.850748	0.298504	0.149252
61	0.828473	0.343053	0.171527
62	0.803502	0.392996	0.196498
63	0.801669	0.396662	0.198331
64	0.839014	0.321972	0.160986
65	0.842116	0.315769	0.157884
66	0.833855	0.33229	0.166145
67	0.847503	0.304995	0.152497
68	0.903006	0.193987	0.0969935
69	0.919503	0.160995	0.0804975
70	0.90415	0.1917	0.0958501
71	0.899336	0.201329	0.100664
72	0.889701	0.220598	0.110299
73	0.881461	0.237078	0.118539
74	0.860501	0.278997	0.139499
75	0.841582	0.316836	0.158418
76	0.81924	0.361521	0.18076
77	0.792685	0.41463	0.207315
78	0.768699	0.462602	0.231301
79	0.746447	0.507105	0.253553
80	0.747863	0.504275	0.252137
81	0.716332	0.567336	0.283668
82	0.689053	0.621895	0.310947
83	0.655827	0.688345	0.344173
84	0.61972	0.76056	0.38028
85	0.620638	0.758723	0.379362
86	0.584507	0.830986	0.415493
87	0.562519	0.874962	0.437481
88	0.54244	0.915121	0.45756
89	0.506923	0.986154	0.493077
90	0.517135	0.965731	0.482865
91	0.496778	0.993555	0.503222
92	0.474211	0.948423	0.525789
93	0.484233	0.968467	0.515767
94	0.446893	0.893786	0.553107
95	0.410745	0.82149	0.589255
96	0.382426	0.764852	0.617574
97	0.362226	0.724453	0.637774
98	0.327976	0.655952	0.672024
99	0.295413	0.590826	0.704587
100	0.270877	0.541754	0.729123
101	0.262826	0.525652	0.737174
102	0.234561	0.469122	0.765439
103	0.216734	0.433467	0.783266
104	0.210238	0.420477	0.789762
105	0.186882	0.373763	0.813118
106	0.163513	0.327026	0.836487
107	0.142457	0.284913	0.857543
108	0.123113	0.246226	0.876887
109	0.143908	0.287816	0.856092
110	0.124675	0.249351	0.875325
111	0.110521	0.221041	0.889479
112	0.0944697	0.188939	0.90553
113	0.10897	0.217941	0.89103
114	0.123214	0.246429	0.876786
115	0.188051	0.376102	0.811949
116	0.22827	0.45654	0.77173
117	0.241989	0.483979	0.758011
118	0.218131	0.436263	0.781869
119	0.291044	0.582088	0.708956
120	0.296211	0.592421	0.703789
121	0.280055	0.560111	0.719945
122	0.361391	0.722781	0.638609
123	0.343666	0.687332	0.656334
124	0.555815	0.888371	0.444185
125	0.532317	0.935366	0.467683
126	0.500811	0.998377	0.499189
127	0.469662	0.939324	0.530338
128	0.447511	0.895022	0.552489
129	0.474669	0.949338	0.525331
130	0.459502	0.919003	0.540498
131	0.427103	0.854206	0.572897
132	0.426765	0.853531	0.573235
133	0.396671	0.793343	0.603329
134	0.368366	0.736732	0.631634
135	0.400335	0.80067	0.599665
136	0.423123	0.846247	0.576877
137	0.392098	0.784195	0.607902
138	0.65159	0.69682	0.34841
139	0.634923	0.730155	0.365077
140	0.605391	0.789219	0.394609
141	0.578825	0.842349	0.421175
142	0.605829	0.788343	0.394171
143	0.601911	0.796179	0.398089
144	0.568908	0.862184	0.431092
145	0.55345	0.8931	0.44655
146	0.524421	0.951158	0.475579
147	0.49214	0.98428	0.50786
148	0.468217	0.936433	0.531783
149	0.435312	0.870625	0.564688
150	0.468252	0.936504	0.531748
151	0.486089	0.972179	0.513911
152	0.463017	0.926034	0.536983
153	0.445684	0.891367	0.554316
154	0.473895	0.947791	0.526105
155	0.450885	0.901771	0.549115
156	0.417585	0.83517	0.582415
157	0.426412	0.852824	0.573588
158	0.400423	0.800845	0.599577
159	0.385038	0.770076	0.614962
160	0.360288	0.720577	0.639712
161	0.347715	0.69543	0.652285
162	0.317469	0.634937	0.682531
163	0.327003	0.654006	0.672997
164	0.77364	0.452721	0.22636
165	0.849025	0.301951	0.150975
166	0.851396	0.297207	0.148604
167	0.845882	0.308236	0.154118
168	0.825691	0.348618	0.174309
169	0.803612	0.392775	0.196388
170	0.779515	0.44097	0.220485
171	0.753053	0.493894	0.246947
172	0.740386	0.519228	0.259614
173	0.745348	0.509305	0.254652
174	0.748057	0.503887	0.251943
175	0.75238	0.49524	0.24762
176	0.739054	0.521892	0.260946
177	0.7099	0.5802	0.2901
178	0.713525	0.57295	0.286475
179	0.774854	0.450291	0.225146
180	0.892553	0.214894	0.107447
181	0.876007	0.247985	0.123993
182	0.877895	0.24421	0.122105
183	0.860287	0.279426	0.139713
184	0.847648	0.304705	0.152352
185	0.905345	0.18931	0.0946549
186	0.894442	0.211116	0.105558
187	0.882417	0.235166	0.117583
188	0.874496	0.251009	0.125504
189	0.865331	0.269337	0.134669
190	0.860246	0.279508	0.139754
191	0.857817	0.284365	0.142183
192	0.844692	0.310616	0.155308
193	0.827543	0.344914	0.172457
194	0.820054	0.359891	0.179946
195	0.809699	0.380602	0.190301
196	0.791426	0.417148	0.208574
197	0.768031	0.463938	0.231969
198	0.737398	0.525204	0.262602
199	0.705497	0.589006	0.294503
200	0.682324	0.635353	0.317676
201	0.890551	0.218898	0.109449
202	0.887506	0.224989	0.112494
203	0.871239	0.257522	0.128761
204	0.874346	0.251308	0.125654
205	0.85585	0.288299	0.14415
206	0.845057	0.309887	0.154943
207	0.92872	0.14256	0.0712798
208	0.936964	0.126073	0.0630364
209	0.944597	0.110805	0.0554026
210	0.932274	0.135452	0.0677261
211	0.94161	0.11678	0.0583902
212	0.936916	0.126168	0.0630839
213	0.923765	0.15247	0.076235
214	0.907078	0.185845	0.0929225
215	0.898765	0.20247	0.101235
216	0.883152	0.233696	0.116848
217	0.859813	0.280374	0.140187
218	0.905929	0.188142	0.0940708
219	0.896565	0.20687	0.103435
220	0.880804	0.238393	0.119196
221	0.862383	0.275234	0.137617
222	0.917152	0.165696	0.0828482
223	0.906276	0.187449	0.0937243
224	0.90523	0.189539	0.0947696
225	0.893303	0.213393	0.106697
226	0.898218	0.203563	0.101782
227	0.876254	0.247492	0.123746
228	0.849498	0.301004	0.150502
229	0.820205	0.35959	0.179795
230	0.795984	0.408033	0.204016
231	0.889011	0.221978	0.110989
232	0.874479	0.251042	0.125521
233	0.846139	0.307721	0.153861
234	0.881022	0.237956	0.118978
235	0.858117	0.283765	0.141883
236	0.93069	0.13862	0.0693101
237	0.953312	0.0933764	0.0466882
238	0.944959	0.110082	0.0550408
239	0.957598	0.0848049	0.0424024
240	0.943067	0.113865	0.0569325
241	0.933735	0.13253	0.0662652
242	0.928513	0.142975	0.0714874
243	0.905417	0.189167	0.0945833
244	0.984819	0.0303628	0.0151814
245	0.98237	0.0352602	0.0176301
246	0.974878	0.0502435	0.0251218
247	0.972944	0.0541119	0.027056
248	0.960384	0.0792311	0.0396156
249	0.94395	0.1121	0.0560502
250	0.920668	0.158664	0.0793318
251	0.892486	0.215027	0.107514
252	0.893168	0.213663	0.106832
253	0.854905	0.29019	0.145095
254	0.807933	0.384133	0.192067
255	0.917912	0.164177	0.0820884
256	0.882034	0.235933	0.117966
257	0.864776	0.270448	0.135224
258	0.810769	0.378462	0.189231
259	0.738446	0.523107	0.261554
260	0.65166	0.696681	0.34834
261	0.670627	0.658746	0.329373
262	0.590615	0.81877	0.409385
263	0.622347	0.755306	0.377653
264	0.512417	0.975166	0.487583
265	0.373685	0.74737	0.626315
266	0.271916	0.543832	0.728084

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
12 & 0.219295 & 0.43859 & 0.780705 \tabularnewline
13 & 0.12817 & 0.256341 & 0.87183 \tabularnewline
14 & 0.0601409 & 0.120282 & 0.939859 \tabularnewline
15 & 0.934375 & 0.131249 & 0.0656247 \tabularnewline
16 & 0.893705 & 0.212591 & 0.106295 \tabularnewline
17 & 0.866663 & 0.266675 & 0.133337 \tabularnewline
18 & 0.85613 & 0.287739 & 0.14387 \tabularnewline
19 & 0.894501 & 0.210998 & 0.105499 \tabularnewline
20 & 0.900955 & 0.19809 & 0.0990448 \tabularnewline
21 & 0.86055 & 0.278901 & 0.13945 \tabularnewline
22 & 0.817402 & 0.365196 & 0.182598 \tabularnewline
23 & 0.912433 & 0.175134 & 0.087567 \tabularnewline
24 & 0.909613 & 0.180773 & 0.0903865 \tabularnewline
25 & 0.89977 & 0.20046 & 0.10023 \tabularnewline
26 & 0.921308 & 0.157385 & 0.0786925 \tabularnewline
27 & 0.929517 & 0.140965 & 0.0704827 \tabularnewline
28 & 0.922655 & 0.15469 & 0.0773448 \tabularnewline
29 & 0.897078 & 0.205844 & 0.102922 \tabularnewline
30 & 0.872735 & 0.254529 & 0.127265 \tabularnewline
31 & 0.964732 & 0.0705363 & 0.0352681 \tabularnewline
32 & 0.95221 & 0.0955799 & 0.0477899 \tabularnewline
33 & 0.937969 & 0.124061 & 0.0620307 \tabularnewline
34 & 0.925175 & 0.149651 & 0.0748253 \tabularnewline
35 & 0.927636 & 0.144727 & 0.0723636 \tabularnewline
36 & 0.926928 & 0.146144 & 0.0730722 \tabularnewline
37 & 0.912593 & 0.174815 & 0.0874073 \tabularnewline
38 & 0.892128 & 0.215744 & 0.107872 \tabularnewline
39 & 0.880836 & 0.238328 & 0.119164 \tabularnewline
40 & 0.860084 & 0.279832 & 0.139916 \tabularnewline
41 & 0.849707 & 0.300585 & 0.150293 \tabularnewline
42 & 0.819727 & 0.360547 & 0.180273 \tabularnewline
43 & 0.792053 & 0.415895 & 0.207947 \tabularnewline
44 & 0.780153 & 0.439694 & 0.219847 \tabularnewline
45 & 0.810589 & 0.378823 & 0.189411 \tabularnewline
46 & 0.827018 & 0.345964 & 0.172982 \tabularnewline
47 & 0.859966 & 0.280067 & 0.140034 \tabularnewline
48 & 0.837705 & 0.32459 & 0.162295 \tabularnewline
49 & 0.876116 & 0.247767 & 0.123884 \tabularnewline
50 & 0.85569 & 0.288619 & 0.14431 \tabularnewline
51 & 0.831987 & 0.336027 & 0.168013 \tabularnewline
52 & 0.882572 & 0.234857 & 0.117428 \tabularnewline
53 & 0.859044 & 0.281913 & 0.140956 \tabularnewline
54 & 0.884967 & 0.230066 & 0.115033 \tabularnewline
55 & 0.87604 & 0.24792 & 0.12396 \tabularnewline
56 & 0.865569 & 0.268862 & 0.134431 \tabularnewline
57 & 0.858584 & 0.282832 & 0.141416 \tabularnewline
58 & 0.838425 & 0.323149 & 0.161575 \tabularnewline
59 & 0.872777 & 0.254445 & 0.127223 \tabularnewline
60 & 0.850748 & 0.298504 & 0.149252 \tabularnewline
61 & 0.828473 & 0.343053 & 0.171527 \tabularnewline
62 & 0.803502 & 0.392996 & 0.196498 \tabularnewline
63 & 0.801669 & 0.396662 & 0.198331 \tabularnewline
64 & 0.839014 & 0.321972 & 0.160986 \tabularnewline
65 & 0.842116 & 0.315769 & 0.157884 \tabularnewline
66 & 0.833855 & 0.33229 & 0.166145 \tabularnewline
67 & 0.847503 & 0.304995 & 0.152497 \tabularnewline
68 & 0.903006 & 0.193987 & 0.0969935 \tabularnewline
69 & 0.919503 & 0.160995 & 0.0804975 \tabularnewline
70 & 0.90415 & 0.1917 & 0.0958501 \tabularnewline
71 & 0.899336 & 0.201329 & 0.100664 \tabularnewline
72 & 0.889701 & 0.220598 & 0.110299 \tabularnewline
73 & 0.881461 & 0.237078 & 0.118539 \tabularnewline
74 & 0.860501 & 0.278997 & 0.139499 \tabularnewline
75 & 0.841582 & 0.316836 & 0.158418 \tabularnewline
76 & 0.81924 & 0.361521 & 0.18076 \tabularnewline
77 & 0.792685 & 0.41463 & 0.207315 \tabularnewline
78 & 0.768699 & 0.462602 & 0.231301 \tabularnewline
79 & 0.746447 & 0.507105 & 0.253553 \tabularnewline
80 & 0.747863 & 0.504275 & 0.252137 \tabularnewline
81 & 0.716332 & 0.567336 & 0.283668 \tabularnewline
82 & 0.689053 & 0.621895 & 0.310947 \tabularnewline
83 & 0.655827 & 0.688345 & 0.344173 \tabularnewline
84 & 0.61972 & 0.76056 & 0.38028 \tabularnewline
85 & 0.620638 & 0.758723 & 0.379362 \tabularnewline
86 & 0.584507 & 0.830986 & 0.415493 \tabularnewline
87 & 0.562519 & 0.874962 & 0.437481 \tabularnewline
88 & 0.54244 & 0.915121 & 0.45756 \tabularnewline
89 & 0.506923 & 0.986154 & 0.493077 \tabularnewline
90 & 0.517135 & 0.965731 & 0.482865 \tabularnewline
91 & 0.496778 & 0.993555 & 0.503222 \tabularnewline
92 & 0.474211 & 0.948423 & 0.525789 \tabularnewline
93 & 0.484233 & 0.968467 & 0.515767 \tabularnewline
94 & 0.446893 & 0.893786 & 0.553107 \tabularnewline
95 & 0.410745 & 0.82149 & 0.589255 \tabularnewline
96 & 0.382426 & 0.764852 & 0.617574 \tabularnewline
97 & 0.362226 & 0.724453 & 0.637774 \tabularnewline
98 & 0.327976 & 0.655952 & 0.672024 \tabularnewline
99 & 0.295413 & 0.590826 & 0.704587 \tabularnewline
100 & 0.270877 & 0.541754 & 0.729123 \tabularnewline
101 & 0.262826 & 0.525652 & 0.737174 \tabularnewline
102 & 0.234561 & 0.469122 & 0.765439 \tabularnewline
103 & 0.216734 & 0.433467 & 0.783266 \tabularnewline
104 & 0.210238 & 0.420477 & 0.789762 \tabularnewline
105 & 0.186882 & 0.373763 & 0.813118 \tabularnewline
106 & 0.163513 & 0.327026 & 0.836487 \tabularnewline
107 & 0.142457 & 0.284913 & 0.857543 \tabularnewline
108 & 0.123113 & 0.246226 & 0.876887 \tabularnewline
109 & 0.143908 & 0.287816 & 0.856092 \tabularnewline
110 & 0.124675 & 0.249351 & 0.875325 \tabularnewline
111 & 0.110521 & 0.221041 & 0.889479 \tabularnewline
112 & 0.0944697 & 0.188939 & 0.90553 \tabularnewline
113 & 0.10897 & 0.217941 & 0.89103 \tabularnewline
114 & 0.123214 & 0.246429 & 0.876786 \tabularnewline
115 & 0.188051 & 0.376102 & 0.811949 \tabularnewline
116 & 0.22827 & 0.45654 & 0.77173 \tabularnewline
117 & 0.241989 & 0.483979 & 0.758011 \tabularnewline
118 & 0.218131 & 0.436263 & 0.781869 \tabularnewline
119 & 0.291044 & 0.582088 & 0.708956 \tabularnewline
120 & 0.296211 & 0.592421 & 0.703789 \tabularnewline
121 & 0.280055 & 0.560111 & 0.719945 \tabularnewline
122 & 0.361391 & 0.722781 & 0.638609 \tabularnewline
123 & 0.343666 & 0.687332 & 0.656334 \tabularnewline
124 & 0.555815 & 0.888371 & 0.444185 \tabularnewline
125 & 0.532317 & 0.935366 & 0.467683 \tabularnewline
126 & 0.500811 & 0.998377 & 0.499189 \tabularnewline
127 & 0.469662 & 0.939324 & 0.530338 \tabularnewline
128 & 0.447511 & 0.895022 & 0.552489 \tabularnewline
129 & 0.474669 & 0.949338 & 0.525331 \tabularnewline
130 & 0.459502 & 0.919003 & 0.540498 \tabularnewline
131 & 0.427103 & 0.854206 & 0.572897 \tabularnewline
132 & 0.426765 & 0.853531 & 0.573235 \tabularnewline
133 & 0.396671 & 0.793343 & 0.603329 \tabularnewline
134 & 0.368366 & 0.736732 & 0.631634 \tabularnewline
135 & 0.400335 & 0.80067 & 0.599665 \tabularnewline
136 & 0.423123 & 0.846247 & 0.576877 \tabularnewline
137 & 0.392098 & 0.784195 & 0.607902 \tabularnewline
138 & 0.65159 & 0.69682 & 0.34841 \tabularnewline
139 & 0.634923 & 0.730155 & 0.365077 \tabularnewline
140 & 0.605391 & 0.789219 & 0.394609 \tabularnewline
141 & 0.578825 & 0.842349 & 0.421175 \tabularnewline
142 & 0.605829 & 0.788343 & 0.394171 \tabularnewline
143 & 0.601911 & 0.796179 & 0.398089 \tabularnewline
144 & 0.568908 & 0.862184 & 0.431092 \tabularnewline
145 & 0.55345 & 0.8931 & 0.44655 \tabularnewline
146 & 0.524421 & 0.951158 & 0.475579 \tabularnewline
147 & 0.49214 & 0.98428 & 0.50786 \tabularnewline
148 & 0.468217 & 0.936433 & 0.531783 \tabularnewline
149 & 0.435312 & 0.870625 & 0.564688 \tabularnewline
150 & 0.468252 & 0.936504 & 0.531748 \tabularnewline
151 & 0.486089 & 0.972179 & 0.513911 \tabularnewline
152 & 0.463017 & 0.926034 & 0.536983 \tabularnewline
153 & 0.445684 & 0.891367 & 0.554316 \tabularnewline
154 & 0.473895 & 0.947791 & 0.526105 \tabularnewline
155 & 0.450885 & 0.901771 & 0.549115 \tabularnewline
156 & 0.417585 & 0.83517 & 0.582415 \tabularnewline
157 & 0.426412 & 0.852824 & 0.573588 \tabularnewline
158 & 0.400423 & 0.800845 & 0.599577 \tabularnewline
159 & 0.385038 & 0.770076 & 0.614962 \tabularnewline
160 & 0.360288 & 0.720577 & 0.639712 \tabularnewline
161 & 0.347715 & 0.69543 & 0.652285 \tabularnewline
162 & 0.317469 & 0.634937 & 0.682531 \tabularnewline
163 & 0.327003 & 0.654006 & 0.672997 \tabularnewline
164 & 0.77364 & 0.452721 & 0.22636 \tabularnewline
165 & 0.849025 & 0.301951 & 0.150975 \tabularnewline
166 & 0.851396 & 0.297207 & 0.148604 \tabularnewline
167 & 0.845882 & 0.308236 & 0.154118 \tabularnewline
168 & 0.825691 & 0.348618 & 0.174309 \tabularnewline
169 & 0.803612 & 0.392775 & 0.196388 \tabularnewline
170 & 0.779515 & 0.44097 & 0.220485 \tabularnewline
171 & 0.753053 & 0.493894 & 0.246947 \tabularnewline
172 & 0.740386 & 0.519228 & 0.259614 \tabularnewline
173 & 0.745348 & 0.509305 & 0.254652 \tabularnewline
174 & 0.748057 & 0.503887 & 0.251943 \tabularnewline
175 & 0.75238 & 0.49524 & 0.24762 \tabularnewline
176 & 0.739054 & 0.521892 & 0.260946 \tabularnewline
177 & 0.7099 & 0.5802 & 0.2901 \tabularnewline
178 & 0.713525 & 0.57295 & 0.286475 \tabularnewline
179 & 0.774854 & 0.450291 & 0.225146 \tabularnewline
180 & 0.892553 & 0.214894 & 0.107447 \tabularnewline
181 & 0.876007 & 0.247985 & 0.123993 \tabularnewline
182 & 0.877895 & 0.24421 & 0.122105 \tabularnewline
183 & 0.860287 & 0.279426 & 0.139713 \tabularnewline
184 & 0.847648 & 0.304705 & 0.152352 \tabularnewline
185 & 0.905345 & 0.18931 & 0.0946549 \tabularnewline
186 & 0.894442 & 0.211116 & 0.105558 \tabularnewline
187 & 0.882417 & 0.235166 & 0.117583 \tabularnewline
188 & 0.874496 & 0.251009 & 0.125504 \tabularnewline
189 & 0.865331 & 0.269337 & 0.134669 \tabularnewline
190 & 0.860246 & 0.279508 & 0.139754 \tabularnewline
191 & 0.857817 & 0.284365 & 0.142183 \tabularnewline
192 & 0.844692 & 0.310616 & 0.155308 \tabularnewline
193 & 0.827543 & 0.344914 & 0.172457 \tabularnewline
194 & 0.820054 & 0.359891 & 0.179946 \tabularnewline
195 & 0.809699 & 0.380602 & 0.190301 \tabularnewline
196 & 0.791426 & 0.417148 & 0.208574 \tabularnewline
197 & 0.768031 & 0.463938 & 0.231969 \tabularnewline
198 & 0.737398 & 0.525204 & 0.262602 \tabularnewline
199 & 0.705497 & 0.589006 & 0.294503 \tabularnewline
200 & 0.682324 & 0.635353 & 0.317676 \tabularnewline
201 & 0.890551 & 0.218898 & 0.109449 \tabularnewline
202 & 0.887506 & 0.224989 & 0.112494 \tabularnewline
203 & 0.871239 & 0.257522 & 0.128761 \tabularnewline
204 & 0.874346 & 0.251308 & 0.125654 \tabularnewline
205 & 0.85585 & 0.288299 & 0.14415 \tabularnewline
206 & 0.845057 & 0.309887 & 0.154943 \tabularnewline
207 & 0.92872 & 0.14256 & 0.0712798 \tabularnewline
208 & 0.936964 & 0.126073 & 0.0630364 \tabularnewline
209 & 0.944597 & 0.110805 & 0.0554026 \tabularnewline
210 & 0.932274 & 0.135452 & 0.0677261 \tabularnewline
211 & 0.94161 & 0.11678 & 0.0583902 \tabularnewline
212 & 0.936916 & 0.126168 & 0.0630839 \tabularnewline
213 & 0.923765 & 0.15247 & 0.076235 \tabularnewline
214 & 0.907078 & 0.185845 & 0.0929225 \tabularnewline
215 & 0.898765 & 0.20247 & 0.101235 \tabularnewline
216 & 0.883152 & 0.233696 & 0.116848 \tabularnewline
217 & 0.859813 & 0.280374 & 0.140187 \tabularnewline
218 & 0.905929 & 0.188142 & 0.0940708 \tabularnewline
219 & 0.896565 & 0.20687 & 0.103435 \tabularnewline
220 & 0.880804 & 0.238393 & 0.119196 \tabularnewline
221 & 0.862383 & 0.275234 & 0.137617 \tabularnewline
222 & 0.917152 & 0.165696 & 0.0828482 \tabularnewline
223 & 0.906276 & 0.187449 & 0.0937243 \tabularnewline
224 & 0.90523 & 0.189539 & 0.0947696 \tabularnewline
225 & 0.893303 & 0.213393 & 0.106697 \tabularnewline
226 & 0.898218 & 0.203563 & 0.101782 \tabularnewline
227 & 0.876254 & 0.247492 & 0.123746 \tabularnewline
228 & 0.849498 & 0.301004 & 0.150502 \tabularnewline
229 & 0.820205 & 0.35959 & 0.179795 \tabularnewline
230 & 0.795984 & 0.408033 & 0.204016 \tabularnewline
231 & 0.889011 & 0.221978 & 0.110989 \tabularnewline
232 & 0.874479 & 0.251042 & 0.125521 \tabularnewline
233 & 0.846139 & 0.307721 & 0.153861 \tabularnewline
234 & 0.881022 & 0.237956 & 0.118978 \tabularnewline
235 & 0.858117 & 0.283765 & 0.141883 \tabularnewline
236 & 0.93069 & 0.13862 & 0.0693101 \tabularnewline
237 & 0.953312 & 0.0933764 & 0.0466882 \tabularnewline
238 & 0.944959 & 0.110082 & 0.0550408 \tabularnewline
239 & 0.957598 & 0.0848049 & 0.0424024 \tabularnewline
240 & 0.943067 & 0.113865 & 0.0569325 \tabularnewline
241 & 0.933735 & 0.13253 & 0.0662652 \tabularnewline
242 & 0.928513 & 0.142975 & 0.0714874 \tabularnewline
243 & 0.905417 & 0.189167 & 0.0945833 \tabularnewline
244 & 0.984819 & 0.0303628 & 0.0151814 \tabularnewline
245 & 0.98237 & 0.0352602 & 0.0176301 \tabularnewline
246 & 0.974878 & 0.0502435 & 0.0251218 \tabularnewline
247 & 0.972944 & 0.0541119 & 0.027056 \tabularnewline
248 & 0.960384 & 0.0792311 & 0.0396156 \tabularnewline
249 & 0.94395 & 0.1121 & 0.0560502 \tabularnewline
250 & 0.920668 & 0.158664 & 0.0793318 \tabularnewline
251 & 0.892486 & 0.215027 & 0.107514 \tabularnewline
252 & 0.893168 & 0.213663 & 0.106832 \tabularnewline
253 & 0.854905 & 0.29019 & 0.145095 \tabularnewline
254 & 0.807933 & 0.384133 & 0.192067 \tabularnewline
255 & 0.917912 & 0.164177 & 0.0820884 \tabularnewline
256 & 0.882034 & 0.235933 & 0.117966 \tabularnewline
257 & 0.864776 & 0.270448 & 0.135224 \tabularnewline
258 & 0.810769 & 0.378462 & 0.189231 \tabularnewline
259 & 0.738446 & 0.523107 & 0.261554 \tabularnewline
260 & 0.65166 & 0.696681 & 0.34834 \tabularnewline
261 & 0.670627 & 0.658746 & 0.329373 \tabularnewline
262 & 0.590615 & 0.81877 & 0.409385 \tabularnewline
263 & 0.622347 & 0.755306 & 0.377653 \tabularnewline
264 & 0.512417 & 0.975166 & 0.487583 \tabularnewline
265 & 0.373685 & 0.74737 & 0.626315 \tabularnewline
266 & 0.271916 & 0.543832 & 0.728084 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=272973&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]0.219295[/C][C]0.43859[/C][C]0.780705[/C][/ROW]
[ROW][C]13[/C][C]0.12817[/C][C]0.256341[/C][C]0.87183[/C][/ROW]
[ROW][C]14[/C][C]0.0601409[/C][C]0.120282[/C][C]0.939859[/C][/ROW]
[ROW][C]15[/C][C]0.934375[/C][C]0.131249[/C][C]0.0656247[/C][/ROW]
[ROW][C]16[/C][C]0.893705[/C][C]0.212591[/C][C]0.106295[/C][/ROW]
[ROW][C]17[/C][C]0.866663[/C][C]0.266675[/C][C]0.133337[/C][/ROW]
[ROW][C]18[/C][C]0.85613[/C][C]0.287739[/C][C]0.14387[/C][/ROW]
[ROW][C]19[/C][C]0.894501[/C][C]0.210998[/C][C]0.105499[/C][/ROW]
[ROW][C]20[/C][C]0.900955[/C][C]0.19809[/C][C]0.0990448[/C][/ROW]
[ROW][C]21[/C][C]0.86055[/C][C]0.278901[/C][C]0.13945[/C][/ROW]
[ROW][C]22[/C][C]0.817402[/C][C]0.365196[/C][C]0.182598[/C][/ROW]
[ROW][C]23[/C][C]0.912433[/C][C]0.175134[/C][C]0.087567[/C][/ROW]
[ROW][C]24[/C][C]0.909613[/C][C]0.180773[/C][C]0.0903865[/C][/ROW]
[ROW][C]25[/C][C]0.89977[/C][C]0.20046[/C][C]0.10023[/C][/ROW]
[ROW][C]26[/C][C]0.921308[/C][C]0.157385[/C][C]0.0786925[/C][/ROW]
[ROW][C]27[/C][C]0.929517[/C][C]0.140965[/C][C]0.0704827[/C][/ROW]
[ROW][C]28[/C][C]0.922655[/C][C]0.15469[/C][C]0.0773448[/C][/ROW]
[ROW][C]29[/C][C]0.897078[/C][C]0.205844[/C][C]0.102922[/C][/ROW]
[ROW][C]30[/C][C]0.872735[/C][C]0.254529[/C][C]0.127265[/C][/ROW]
[ROW][C]31[/C][C]0.964732[/C][C]0.0705363[/C][C]0.0352681[/C][/ROW]
[ROW][C]32[/C][C]0.95221[/C][C]0.0955799[/C][C]0.0477899[/C][/ROW]
[ROW][C]33[/C][C]0.937969[/C][C]0.124061[/C][C]0.0620307[/C][/ROW]
[ROW][C]34[/C][C]0.925175[/C][C]0.149651[/C][C]0.0748253[/C][/ROW]
[ROW][C]35[/C][C]0.927636[/C][C]0.144727[/C][C]0.0723636[/C][/ROW]
[ROW][C]36[/C][C]0.926928[/C][C]0.146144[/C][C]0.0730722[/C][/ROW]
[ROW][C]37[/C][C]0.912593[/C][C]0.174815[/C][C]0.0874073[/C][/ROW]
[ROW][C]38[/C][C]0.892128[/C][C]0.215744[/C][C]0.107872[/C][/ROW]
[ROW][C]39[/C][C]0.880836[/C][C]0.238328[/C][C]0.119164[/C][/ROW]
[ROW][C]40[/C][C]0.860084[/C][C]0.279832[/C][C]0.139916[/C][/ROW]
[ROW][C]41[/C][C]0.849707[/C][C]0.300585[/C][C]0.150293[/C][/ROW]
[ROW][C]42[/C][C]0.819727[/C][C]0.360547[/C][C]0.180273[/C][/ROW]
[ROW][C]43[/C][C]0.792053[/C][C]0.415895[/C][C]0.207947[/C][/ROW]
[ROW][C]44[/C][C]0.780153[/C][C]0.439694[/C][C]0.219847[/C][/ROW]
[ROW][C]45[/C][C]0.810589[/C][C]0.378823[/C][C]0.189411[/C][/ROW]
[ROW][C]46[/C][C]0.827018[/C][C]0.345964[/C][C]0.172982[/C][/ROW]
[ROW][C]47[/C][C]0.859966[/C][C]0.280067[/C][C]0.140034[/C][/ROW]
[ROW][C]48[/C][C]0.837705[/C][C]0.32459[/C][C]0.162295[/C][/ROW]
[ROW][C]49[/C][C]0.876116[/C][C]0.247767[/C][C]0.123884[/C][/ROW]
[ROW][C]50[/C][C]0.85569[/C][C]0.288619[/C][C]0.14431[/C][/ROW]
[ROW][C]51[/C][C]0.831987[/C][C]0.336027[/C][C]0.168013[/C][/ROW]
[ROW][C]52[/C][C]0.882572[/C][C]0.234857[/C][C]0.117428[/C][/ROW]
[ROW][C]53[/C][C]0.859044[/C][C]0.281913[/C][C]0.140956[/C][/ROW]
[ROW][C]54[/C][C]0.884967[/C][C]0.230066[/C][C]0.115033[/C][/ROW]
[ROW][C]55[/C][C]0.87604[/C][C]0.24792[/C][C]0.12396[/C][/ROW]
[ROW][C]56[/C][C]0.865569[/C][C]0.268862[/C][C]0.134431[/C][/ROW]
[ROW][C]57[/C][C]0.858584[/C][C]0.282832[/C][C]0.141416[/C][/ROW]
[ROW][C]58[/C][C]0.838425[/C][C]0.323149[/C][C]0.161575[/C][/ROW]
[ROW][C]59[/C][C]0.872777[/C][C]0.254445[/C][C]0.127223[/C][/ROW]
[ROW][C]60[/C][C]0.850748[/C][C]0.298504[/C][C]0.149252[/C][/ROW]
[ROW][C]61[/C][C]0.828473[/C][C]0.343053[/C][C]0.171527[/C][/ROW]
[ROW][C]62[/C][C]0.803502[/C][C]0.392996[/C][C]0.196498[/C][/ROW]
[ROW][C]63[/C][C]0.801669[/C][C]0.396662[/C][C]0.198331[/C][/ROW]
[ROW][C]64[/C][C]0.839014[/C][C]0.321972[/C][C]0.160986[/C][/ROW]
[ROW][C]65[/C][C]0.842116[/C][C]0.315769[/C][C]0.157884[/C][/ROW]
[ROW][C]66[/C][C]0.833855[/C][C]0.33229[/C][C]0.166145[/C][/ROW]
[ROW][C]67[/C][C]0.847503[/C][C]0.304995[/C][C]0.152497[/C][/ROW]
[ROW][C]68[/C][C]0.903006[/C][C]0.193987[/C][C]0.0969935[/C][/ROW]
[ROW][C]69[/C][C]0.919503[/C][C]0.160995[/C][C]0.0804975[/C][/ROW]
[ROW][C]70[/C][C]0.90415[/C][C]0.1917[/C][C]0.0958501[/C][/ROW]
[ROW][C]71[/C][C]0.899336[/C][C]0.201329[/C][C]0.100664[/C][/ROW]
[ROW][C]72[/C][C]0.889701[/C][C]0.220598[/C][C]0.110299[/C][/ROW]
[ROW][C]73[/C][C]0.881461[/C][C]0.237078[/C][C]0.118539[/C][/ROW]
[ROW][C]74[/C][C]0.860501[/C][C]0.278997[/C][C]0.139499[/C][/ROW]
[ROW][C]75[/C][C]0.841582[/C][C]0.316836[/C][C]0.158418[/C][/ROW]
[ROW][C]76[/C][C]0.81924[/C][C]0.361521[/C][C]0.18076[/C][/ROW]
[ROW][C]77[/C][C]0.792685[/C][C]0.41463[/C][C]0.207315[/C][/ROW]
[ROW][C]78[/C][C]0.768699[/C][C]0.462602[/C][C]0.231301[/C][/ROW]
[ROW][C]79[/C][C]0.746447[/C][C]0.507105[/C][C]0.253553[/C][/ROW]
[ROW][C]80[/C][C]0.747863[/C][C]0.504275[/C][C]0.252137[/C][/ROW]
[ROW][C]81[/C][C]0.716332[/C][C]0.567336[/C][C]0.283668[/C][/ROW]
[ROW][C]82[/C][C]0.689053[/C][C]0.621895[/C][C]0.310947[/C][/ROW]
[ROW][C]83[/C][C]0.655827[/C][C]0.688345[/C][C]0.344173[/C][/ROW]
[ROW][C]84[/C][C]0.61972[/C][C]0.76056[/C][C]0.38028[/C][/ROW]
[ROW][C]85[/C][C]0.620638[/C][C]0.758723[/C][C]0.379362[/C][/ROW]
[ROW][C]86[/C][C]0.584507[/C][C]0.830986[/C][C]0.415493[/C][/ROW]
[ROW][C]87[/C][C]0.562519[/C][C]0.874962[/C][C]0.437481[/C][/ROW]
[ROW][C]88[/C][C]0.54244[/C][C]0.915121[/C][C]0.45756[/C][/ROW]
[ROW][C]89[/C][C]0.506923[/C][C]0.986154[/C][C]0.493077[/C][/ROW]
[ROW][C]90[/C][C]0.517135[/C][C]0.965731[/C][C]0.482865[/C][/ROW]
[ROW][C]91[/C][C]0.496778[/C][C]0.993555[/C][C]0.503222[/C][/ROW]
[ROW][C]92[/C][C]0.474211[/C][C]0.948423[/C][C]0.525789[/C][/ROW]
[ROW][C]93[/C][C]0.484233[/C][C]0.968467[/C][C]0.515767[/C][/ROW]
[ROW][C]94[/C][C]0.446893[/C][C]0.893786[/C][C]0.553107[/C][/ROW]
[ROW][C]95[/C][C]0.410745[/C][C]0.82149[/C][C]0.589255[/C][/ROW]
[ROW][C]96[/C][C]0.382426[/C][C]0.764852[/C][C]0.617574[/C][/ROW]
[ROW][C]97[/C][C]0.362226[/C][C]0.724453[/C][C]0.637774[/C][/ROW]
[ROW][C]98[/C][C]0.327976[/C][C]0.655952[/C][C]0.672024[/C][/ROW]
[ROW][C]99[/C][C]0.295413[/C][C]0.590826[/C][C]0.704587[/C][/ROW]
[ROW][C]100[/C][C]0.270877[/C][C]0.541754[/C][C]0.729123[/C][/ROW]
[ROW][C]101[/C][C]0.262826[/C][C]0.525652[/C][C]0.737174[/C][/ROW]
[ROW][C]102[/C][C]0.234561[/C][C]0.469122[/C][C]0.765439[/C][/ROW]
[ROW][C]103[/C][C]0.216734[/C][C]0.433467[/C][C]0.783266[/C][/ROW]
[ROW][C]104[/C][C]0.210238[/C][C]0.420477[/C][C]0.789762[/C][/ROW]
[ROW][C]105[/C][C]0.186882[/C][C]0.373763[/C][C]0.813118[/C][/ROW]
[ROW][C]106[/C][C]0.163513[/C][C]0.327026[/C][C]0.836487[/C][/ROW]
[ROW][C]107[/C][C]0.142457[/C][C]0.284913[/C][C]0.857543[/C][/ROW]
[ROW][C]108[/C][C]0.123113[/C][C]0.246226[/C][C]0.876887[/C][/ROW]
[ROW][C]109[/C][C]0.143908[/C][C]0.287816[/C][C]0.856092[/C][/ROW]
[ROW][C]110[/C][C]0.124675[/C][C]0.249351[/C][C]0.875325[/C][/ROW]
[ROW][C]111[/C][C]0.110521[/C][C]0.221041[/C][C]0.889479[/C][/ROW]
[ROW][C]112[/C][C]0.0944697[/C][C]0.188939[/C][C]0.90553[/C][/ROW]
[ROW][C]113[/C][C]0.10897[/C][C]0.217941[/C][C]0.89103[/C][/ROW]
[ROW][C]114[/C][C]0.123214[/C][C]0.246429[/C][C]0.876786[/C][/ROW]
[ROW][C]115[/C][C]0.188051[/C][C]0.376102[/C][C]0.811949[/C][/ROW]
[ROW][C]116[/C][C]0.22827[/C][C]0.45654[/C][C]0.77173[/C][/ROW]
[ROW][C]117[/C][C]0.241989[/C][C]0.483979[/C][C]0.758011[/C][/ROW]
[ROW][C]118[/C][C]0.218131[/C][C]0.436263[/C][C]0.781869[/C][/ROW]
[ROW][C]119[/C][C]0.291044[/C][C]0.582088[/C][C]0.708956[/C][/ROW]
[ROW][C]120[/C][C]0.296211[/C][C]0.592421[/C][C]0.703789[/C][/ROW]
[ROW][C]121[/C][C]0.280055[/C][C]0.560111[/C][C]0.719945[/C][/ROW]
[ROW][C]122[/C][C]0.361391[/C][C]0.722781[/C][C]0.638609[/C][/ROW]
[ROW][C]123[/C][C]0.343666[/C][C]0.687332[/C][C]0.656334[/C][/ROW]
[ROW][C]124[/C][C]0.555815[/C][C]0.888371[/C][C]0.444185[/C][/ROW]
[ROW][C]125[/C][C]0.532317[/C][C]0.935366[/C][C]0.467683[/C][/ROW]
[ROW][C]126[/C][C]0.500811[/C][C]0.998377[/C][C]0.499189[/C][/ROW]
[ROW][C]127[/C][C]0.469662[/C][C]0.939324[/C][C]0.530338[/C][/ROW]
[ROW][C]128[/C][C]0.447511[/C][C]0.895022[/C][C]0.552489[/C][/ROW]
[ROW][C]129[/C][C]0.474669[/C][C]0.949338[/C][C]0.525331[/C][/ROW]
[ROW][C]130[/C][C]0.459502[/C][C]0.919003[/C][C]0.540498[/C][/ROW]
[ROW][C]131[/C][C]0.427103[/C][C]0.854206[/C][C]0.572897[/C][/ROW]
[ROW][C]132[/C][C]0.426765[/C][C]0.853531[/C][C]0.573235[/C][/ROW]
[ROW][C]133[/C][C]0.396671[/C][C]0.793343[/C][C]0.603329[/C][/ROW]
[ROW][C]134[/C][C]0.368366[/C][C]0.736732[/C][C]0.631634[/C][/ROW]
[ROW][C]135[/C][C]0.400335[/C][C]0.80067[/C][C]0.599665[/C][/ROW]
[ROW][C]136[/C][C]0.423123[/C][C]0.846247[/C][C]0.576877[/C][/ROW]
[ROW][C]137[/C][C]0.392098[/C][C]0.784195[/C][C]0.607902[/C][/ROW]
[ROW][C]138[/C][C]0.65159[/C][C]0.69682[/C][C]0.34841[/C][/ROW]
[ROW][C]139[/C][C]0.634923[/C][C]0.730155[/C][C]0.365077[/C][/ROW]
[ROW][C]140[/C][C]0.605391[/C][C]0.789219[/C][C]0.394609[/C][/ROW]
[ROW][C]141[/C][C]0.578825[/C][C]0.842349[/C][C]0.421175[/C][/ROW]
[ROW][C]142[/C][C]0.605829[/C][C]0.788343[/C][C]0.394171[/C][/ROW]
[ROW][C]143[/C][C]0.601911[/C][C]0.796179[/C][C]0.398089[/C][/ROW]
[ROW][C]144[/C][C]0.568908[/C][C]0.862184[/C][C]0.431092[/C][/ROW]
[ROW][C]145[/C][C]0.55345[/C][C]0.8931[/C][C]0.44655[/C][/ROW]
[ROW][C]146[/C][C]0.524421[/C][C]0.951158[/C][C]0.475579[/C][/ROW]
[ROW][C]147[/C][C]0.49214[/C][C]0.98428[/C][C]0.50786[/C][/ROW]
[ROW][C]148[/C][C]0.468217[/C][C]0.936433[/C][C]0.531783[/C][/ROW]
[ROW][C]149[/C][C]0.435312[/C][C]0.870625[/C][C]0.564688[/C][/ROW]
[ROW][C]150[/C][C]0.468252[/C][C]0.936504[/C][C]0.531748[/C][/ROW]
[ROW][C]151[/C][C]0.486089[/C][C]0.972179[/C][C]0.513911[/C][/ROW]
[ROW][C]152[/C][C]0.463017[/C][C]0.926034[/C][C]0.536983[/C][/ROW]
[ROW][C]153[/C][C]0.445684[/C][C]0.891367[/C][C]0.554316[/C][/ROW]
[ROW][C]154[/C][C]0.473895[/C][C]0.947791[/C][C]0.526105[/C][/ROW]
[ROW][C]155[/C][C]0.450885[/C][C]0.901771[/C][C]0.549115[/C][/ROW]
[ROW][C]156[/C][C]0.417585[/C][C]0.83517[/C][C]0.582415[/C][/ROW]
[ROW][C]157[/C][C]0.426412[/C][C]0.852824[/C][C]0.573588[/C][/ROW]
[ROW][C]158[/C][C]0.400423[/C][C]0.800845[/C][C]0.599577[/C][/ROW]
[ROW][C]159[/C][C]0.385038[/C][C]0.770076[/C][C]0.614962[/C][/ROW]
[ROW][C]160[/C][C]0.360288[/C][C]0.720577[/C][C]0.639712[/C][/ROW]
[ROW][C]161[/C][C]0.347715[/C][C]0.69543[/C][C]0.652285[/C][/ROW]
[ROW][C]162[/C][C]0.317469[/C][C]0.634937[/C][C]0.682531[/C][/ROW]
[ROW][C]163[/C][C]0.327003[/C][C]0.654006[/C][C]0.672997[/C][/ROW]
[ROW][C]164[/C][C]0.77364[/C][C]0.452721[/C][C]0.22636[/C][/ROW]
[ROW][C]165[/C][C]0.849025[/C][C]0.301951[/C][C]0.150975[/C][/ROW]
[ROW][C]166[/C][C]0.851396[/C][C]0.297207[/C][C]0.148604[/C][/ROW]
[ROW][C]167[/C][C]0.845882[/C][C]0.308236[/C][C]0.154118[/C][/ROW]
[ROW][C]168[/C][C]0.825691[/C][C]0.348618[/C][C]0.174309[/C][/ROW]
[ROW][C]169[/C][C]0.803612[/C][C]0.392775[/C][C]0.196388[/C][/ROW]
[ROW][C]170[/C][C]0.779515[/C][C]0.44097[/C][C]0.220485[/C][/ROW]
[ROW][C]171[/C][C]0.753053[/C][C]0.493894[/C][C]0.246947[/C][/ROW]
[ROW][C]172[/C][C]0.740386[/C][C]0.519228[/C][C]0.259614[/C][/ROW]
[ROW][C]173[/C][C]0.745348[/C][C]0.509305[/C][C]0.254652[/C][/ROW]
[ROW][C]174[/C][C]0.748057[/C][C]0.503887[/C][C]0.251943[/C][/ROW]
[ROW][C]175[/C][C]0.75238[/C][C]0.49524[/C][C]0.24762[/C][/ROW]
[ROW][C]176[/C][C]0.739054[/C][C]0.521892[/C][C]0.260946[/C][/ROW]
[ROW][C]177[/C][C]0.7099[/C][C]0.5802[/C][C]0.2901[/C][/ROW]
[ROW][C]178[/C][C]0.713525[/C][C]0.57295[/C][C]0.286475[/C][/ROW]
[ROW][C]179[/C][C]0.774854[/C][C]0.450291[/C][C]0.225146[/C][/ROW]
[ROW][C]180[/C][C]0.892553[/C][C]0.214894[/C][C]0.107447[/C][/ROW]
[ROW][C]181[/C][C]0.876007[/C][C]0.247985[/C][C]0.123993[/C][/ROW]
[ROW][C]182[/C][C]0.877895[/C][C]0.24421[/C][C]0.122105[/C][/ROW]
[ROW][C]183[/C][C]0.860287[/C][C]0.279426[/C][C]0.139713[/C][/ROW]
[ROW][C]184[/C][C]0.847648[/C][C]0.304705[/C][C]0.152352[/C][/ROW]
[ROW][C]185[/C][C]0.905345[/C][C]0.18931[/C][C]0.0946549[/C][/ROW]
[ROW][C]186[/C][C]0.894442[/C][C]0.211116[/C][C]0.105558[/C][/ROW]
[ROW][C]187[/C][C]0.882417[/C][C]0.235166[/C][C]0.117583[/C][/ROW]
[ROW][C]188[/C][C]0.874496[/C][C]0.251009[/C][C]0.125504[/C][/ROW]
[ROW][C]189[/C][C]0.865331[/C][C]0.269337[/C][C]0.134669[/C][/ROW]
[ROW][C]190[/C][C]0.860246[/C][C]0.279508[/C][C]0.139754[/C][/ROW]
[ROW][C]191[/C][C]0.857817[/C][C]0.284365[/C][C]0.142183[/C][/ROW]
[ROW][C]192[/C][C]0.844692[/C][C]0.310616[/C][C]0.155308[/C][/ROW]
[ROW][C]193[/C][C]0.827543[/C][C]0.344914[/C][C]0.172457[/C][/ROW]
[ROW][C]194[/C][C]0.820054[/C][C]0.359891[/C][C]0.179946[/C][/ROW]
[ROW][C]195[/C][C]0.809699[/C][C]0.380602[/C][C]0.190301[/C][/ROW]
[ROW][C]196[/C][C]0.791426[/C][C]0.417148[/C][C]0.208574[/C][/ROW]
[ROW][C]197[/C][C]0.768031[/C][C]0.463938[/C][C]0.231969[/C][/ROW]
[ROW][C]198[/C][C]0.737398[/C][C]0.525204[/C][C]0.262602[/C][/ROW]
[ROW][C]199[/C][C]0.705497[/C][C]0.589006[/C][C]0.294503[/C][/ROW]
[ROW][C]200[/C][C]0.682324[/C][C]0.635353[/C][C]0.317676[/C][/ROW]
[ROW][C]201[/C][C]0.890551[/C][C]0.218898[/C][C]0.109449[/C][/ROW]
[ROW][C]202[/C][C]0.887506[/C][C]0.224989[/C][C]0.112494[/C][/ROW]
[ROW][C]203[/C][C]0.871239[/C][C]0.257522[/C][C]0.128761[/C][/ROW]
[ROW][C]204[/C][C]0.874346[/C][C]0.251308[/C][C]0.125654[/C][/ROW]
[ROW][C]205[/C][C]0.85585[/C][C]0.288299[/C][C]0.14415[/C][/ROW]
[ROW][C]206[/C][C]0.845057[/C][C]0.309887[/C][C]0.154943[/C][/ROW]
[ROW][C]207[/C][C]0.92872[/C][C]0.14256[/C][C]0.0712798[/C][/ROW]
[ROW][C]208[/C][C]0.936964[/C][C]0.126073[/C][C]0.0630364[/C][/ROW]
[ROW][C]209[/C][C]0.944597[/C][C]0.110805[/C][C]0.0554026[/C][/ROW]
[ROW][C]210[/C][C]0.932274[/C][C]0.135452[/C][C]0.0677261[/C][/ROW]
[ROW][C]211[/C][C]0.94161[/C][C]0.11678[/C][C]0.0583902[/C][/ROW]
[ROW][C]212[/C][C]0.936916[/C][C]0.126168[/C][C]0.0630839[/C][/ROW]
[ROW][C]213[/C][C]0.923765[/C][C]0.15247[/C][C]0.076235[/C][/ROW]
[ROW][C]214[/C][C]0.907078[/C][C]0.185845[/C][C]0.0929225[/C][/ROW]
[ROW][C]215[/C][C]0.898765[/C][C]0.20247[/C][C]0.101235[/C][/ROW]
[ROW][C]216[/C][C]0.883152[/C][C]0.233696[/C][C]0.116848[/C][/ROW]
[ROW][C]217[/C][C]0.859813[/C][C]0.280374[/C][C]0.140187[/C][/ROW]
[ROW][C]218[/C][C]0.905929[/C][C]0.188142[/C][C]0.0940708[/C][/ROW]
[ROW][C]219[/C][C]0.896565[/C][C]0.20687[/C][C]0.103435[/C][/ROW]
[ROW][C]220[/C][C]0.880804[/C][C]0.238393[/C][C]0.119196[/C][/ROW]
[ROW][C]221[/C][C]0.862383[/C][C]0.275234[/C][C]0.137617[/C][/ROW]
[ROW][C]222[/C][C]0.917152[/C][C]0.165696[/C][C]0.0828482[/C][/ROW]
[ROW][C]223[/C][C]0.906276[/C][C]0.187449[/C][C]0.0937243[/C][/ROW]
[ROW][C]224[/C][C]0.90523[/C][C]0.189539[/C][C]0.0947696[/C][/ROW]
[ROW][C]225[/C][C]0.893303[/C][C]0.213393[/C][C]0.106697[/C][/ROW]
[ROW][C]226[/C][C]0.898218[/C][C]0.203563[/C][C]0.101782[/C][/ROW]
[ROW][C]227[/C][C]0.876254[/C][C]0.247492[/C][C]0.123746[/C][/ROW]
[ROW][C]228[/C][C]0.849498[/C][C]0.301004[/C][C]0.150502[/C][/ROW]
[ROW][C]229[/C][C]0.820205[/C][C]0.35959[/C][C]0.179795[/C][/ROW]
[ROW][C]230[/C][C]0.795984[/C][C]0.408033[/C][C]0.204016[/C][/ROW]
[ROW][C]231[/C][C]0.889011[/C][C]0.221978[/C][C]0.110989[/C][/ROW]
[ROW][C]232[/C][C]0.874479[/C][C]0.251042[/C][C]0.125521[/C][/ROW]
[ROW][C]233[/C][C]0.846139[/C][C]0.307721[/C][C]0.153861[/C][/ROW]
[ROW][C]234[/C][C]0.881022[/C][C]0.237956[/C][C]0.118978[/C][/ROW]
[ROW][C]235[/C][C]0.858117[/C][C]0.283765[/C][C]0.141883[/C][/ROW]
[ROW][C]236[/C][C]0.93069[/C][C]0.13862[/C][C]0.0693101[/C][/ROW]
[ROW][C]237[/C][C]0.953312[/C][C]0.0933764[/C][C]0.0466882[/C][/ROW]
[ROW][C]238[/C][C]0.944959[/C][C]0.110082[/C][C]0.0550408[/C][/ROW]
[ROW][C]239[/C][C]0.957598[/C][C]0.0848049[/C][C]0.0424024[/C][/ROW]
[ROW][C]240[/C][C]0.943067[/C][C]0.113865[/C][C]0.0569325[/C][/ROW]
[ROW][C]241[/C][C]0.933735[/C][C]0.13253[/C][C]0.0662652[/C][/ROW]
[ROW][C]242[/C][C]0.928513[/C][C]0.142975[/C][C]0.0714874[/C][/ROW]
[ROW][C]243[/C][C]0.905417[/C][C]0.189167[/C][C]0.0945833[/C][/ROW]
[ROW][C]244[/C][C]0.984819[/C][C]0.0303628[/C][C]0.0151814[/C][/ROW]
[ROW][C]245[/C][C]0.98237[/C][C]0.0352602[/C][C]0.0176301[/C][/ROW]
[ROW][C]246[/C][C]0.974878[/C][C]0.0502435[/C][C]0.0251218[/C][/ROW]
[ROW][C]247[/C][C]0.972944[/C][C]0.0541119[/C][C]0.027056[/C][/ROW]
[ROW][C]248[/C][C]0.960384[/C][C]0.0792311[/C][C]0.0396156[/C][/ROW]
[ROW][C]249[/C][C]0.94395[/C][C]0.1121[/C][C]0.0560502[/C][/ROW]
[ROW][C]250[/C][C]0.920668[/C][C]0.158664[/C][C]0.0793318[/C][/ROW]
[ROW][C]251[/C][C]0.892486[/C][C]0.215027[/C][C]0.107514[/C][/ROW]
[ROW][C]252[/C][C]0.893168[/C][C]0.213663[/C][C]0.106832[/C][/ROW]
[ROW][C]253[/C][C]0.854905[/C][C]0.29019[/C][C]0.145095[/C][/ROW]
[ROW][C]254[/C][C]0.807933[/C][C]0.384133[/C][C]0.192067[/C][/ROW]
[ROW][C]255[/C][C]0.917912[/C][C]0.164177[/C][C]0.0820884[/C][/ROW]
[ROW][C]256[/C][C]0.882034[/C][C]0.235933[/C][C]0.117966[/C][/ROW]
[ROW][C]257[/C][C]0.864776[/C][C]0.270448[/C][C]0.135224[/C][/ROW]
[ROW][C]258[/C][C]0.810769[/C][C]0.378462[/C][C]0.189231[/C][/ROW]
[ROW][C]259[/C][C]0.738446[/C][C]0.523107[/C][C]0.261554[/C][/ROW]
[ROW][C]260[/C][C]0.65166[/C][C]0.696681[/C][C]0.34834[/C][/ROW]
[ROW][C]261[/C][C]0.670627[/C][C]0.658746[/C][C]0.329373[/C][/ROW]
[ROW][C]262[/C][C]0.590615[/C][C]0.81877[/C][C]0.409385[/C][/ROW]
[ROW][C]263[/C][C]0.622347[/C][C]0.755306[/C][C]0.377653[/C][/ROW]
[ROW][C]264[/C][C]0.512417[/C][C]0.975166[/C][C]0.487583[/C][/ROW]
[ROW][C]265[/C][C]0.373685[/C][C]0.74737[/C][C]0.626315[/C][/ROW]
[ROW][C]266[/C][C]0.271916[/C][C]0.543832[/C][C]0.728084[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=272973&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=272973&T=5

As an alternative you can also use a QR Code:

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

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
12	0.219295	0.43859	0.780705
13	0.12817	0.256341	0.87183
14	0.0601409	0.120282	0.939859
15	0.934375	0.131249	0.0656247
16	0.893705	0.212591	0.106295
17	0.866663	0.266675	0.133337
18	0.85613	0.287739	0.14387
19	0.894501	0.210998	0.105499
20	0.900955	0.19809	0.0990448
21	0.86055	0.278901	0.13945
22	0.817402	0.365196	0.182598
23	0.912433	0.175134	0.087567
24	0.909613	0.180773	0.0903865
25	0.89977	0.20046	0.10023
26	0.921308	0.157385	0.0786925
27	0.929517	0.140965	0.0704827
28	0.922655	0.15469	0.0773448
29	0.897078	0.205844	0.102922
30	0.872735	0.254529	0.127265
31	0.964732	0.0705363	0.0352681
32	0.95221	0.0955799	0.0477899
33	0.937969	0.124061	0.0620307
34	0.925175	0.149651	0.0748253
35	0.927636	0.144727	0.0723636
36	0.926928	0.146144	0.0730722
37	0.912593	0.174815	0.0874073
38	0.892128	0.215744	0.107872
39	0.880836	0.238328	0.119164
40	0.860084	0.279832	0.139916
41	0.849707	0.300585	0.150293
42	0.819727	0.360547	0.180273
43	0.792053	0.415895	0.207947
44	0.780153	0.439694	0.219847
45	0.810589	0.378823	0.189411
46	0.827018	0.345964	0.172982
47	0.859966	0.280067	0.140034
48	0.837705	0.32459	0.162295
49	0.876116	0.247767	0.123884
50	0.85569	0.288619	0.14431
51	0.831987	0.336027	0.168013
52	0.882572	0.234857	0.117428
53	0.859044	0.281913	0.140956
54	0.884967	0.230066	0.115033
55	0.87604	0.24792	0.12396
56	0.865569	0.268862	0.134431
57	0.858584	0.282832	0.141416
58	0.838425	0.323149	0.161575
59	0.872777	0.254445	0.127223
60	0.850748	0.298504	0.149252
61	0.828473	0.343053	0.171527
62	0.803502	0.392996	0.196498
63	0.801669	0.396662	0.198331
64	0.839014	0.321972	0.160986
65	0.842116	0.315769	0.157884
66	0.833855	0.33229	0.166145
67	0.847503	0.304995	0.152497
68	0.903006	0.193987	0.0969935
69	0.919503	0.160995	0.0804975
70	0.90415	0.1917	0.0958501
71	0.899336	0.201329	0.100664
72	0.889701	0.220598	0.110299
73	0.881461	0.237078	0.118539
74	0.860501	0.278997	0.139499
75	0.841582	0.316836	0.158418
76	0.81924	0.361521	0.18076
77	0.792685	0.41463	0.207315
78	0.768699	0.462602	0.231301
79	0.746447	0.507105	0.253553
80	0.747863	0.504275	0.252137
81	0.716332	0.567336	0.283668
82	0.689053	0.621895	0.310947
83	0.655827	0.688345	0.344173
84	0.61972	0.76056	0.38028
85	0.620638	0.758723	0.379362
86	0.584507	0.830986	0.415493
87	0.562519	0.874962	0.437481
88	0.54244	0.915121	0.45756
89	0.506923	0.986154	0.493077
90	0.517135	0.965731	0.482865
91	0.496778	0.993555	0.503222
92	0.474211	0.948423	0.525789
93	0.484233	0.968467	0.515767
94	0.446893	0.893786	0.553107
95	0.410745	0.82149	0.589255
96	0.382426	0.764852	0.617574
97	0.362226	0.724453	0.637774
98	0.327976	0.655952	0.672024
99	0.295413	0.590826	0.704587
100	0.270877	0.541754	0.729123
101	0.262826	0.525652	0.737174
102	0.234561	0.469122	0.765439
103	0.216734	0.433467	0.783266
104	0.210238	0.420477	0.789762
105	0.186882	0.373763	0.813118
106	0.163513	0.327026	0.836487
107	0.142457	0.284913	0.857543
108	0.123113	0.246226	0.876887
109	0.143908	0.287816	0.856092
110	0.124675	0.249351	0.875325
111	0.110521	0.221041	0.889479
112	0.0944697	0.188939	0.90553
113	0.10897	0.217941	0.89103
114	0.123214	0.246429	0.876786
115	0.188051	0.376102	0.811949
116	0.22827	0.45654	0.77173
117	0.241989	0.483979	0.758011
118	0.218131	0.436263	0.781869
119	0.291044	0.582088	0.708956
120	0.296211	0.592421	0.703789
121	0.280055	0.560111	0.719945
122	0.361391	0.722781	0.638609
123	0.343666	0.687332	0.656334
124	0.555815	0.888371	0.444185
125	0.532317	0.935366	0.467683
126	0.500811	0.998377	0.499189
127	0.469662	0.939324	0.530338
128	0.447511	0.895022	0.552489
129	0.474669	0.949338	0.525331
130	0.459502	0.919003	0.540498
131	0.427103	0.854206	0.572897
132	0.426765	0.853531	0.573235
133	0.396671	0.793343	0.603329
134	0.368366	0.736732	0.631634
135	0.400335	0.80067	0.599665
136	0.423123	0.846247	0.576877
137	0.392098	0.784195	0.607902
138	0.65159	0.69682	0.34841
139	0.634923	0.730155	0.365077
140	0.605391	0.789219	0.394609
141	0.578825	0.842349	0.421175
142	0.605829	0.788343	0.394171
143	0.601911	0.796179	0.398089
144	0.568908	0.862184	0.431092
145	0.55345	0.8931	0.44655
146	0.524421	0.951158	0.475579
147	0.49214	0.98428	0.50786
148	0.468217	0.936433	0.531783
149	0.435312	0.870625	0.564688
150	0.468252	0.936504	0.531748
151	0.486089	0.972179	0.513911
152	0.463017	0.926034	0.536983
153	0.445684	0.891367	0.554316
154	0.473895	0.947791	0.526105
155	0.450885	0.901771	0.549115
156	0.417585	0.83517	0.582415
157	0.426412	0.852824	0.573588
158	0.400423	0.800845	0.599577
159	0.385038	0.770076	0.614962
160	0.360288	0.720577	0.639712
161	0.347715	0.69543	0.652285
162	0.317469	0.634937	0.682531
163	0.327003	0.654006	0.672997
164	0.77364	0.452721	0.22636
165	0.849025	0.301951	0.150975
166	0.851396	0.297207	0.148604
167	0.845882	0.308236	0.154118
168	0.825691	0.348618	0.174309
169	0.803612	0.392775	0.196388
170	0.779515	0.44097	0.220485
171	0.753053	0.493894	0.246947
172	0.740386	0.519228	0.259614
173	0.745348	0.509305	0.254652
174	0.748057	0.503887	0.251943
175	0.75238	0.49524	0.24762
176	0.739054	0.521892	0.260946
177	0.7099	0.5802	0.2901
178	0.713525	0.57295	0.286475
179	0.774854	0.450291	0.225146
180	0.892553	0.214894	0.107447
181	0.876007	0.247985	0.123993
182	0.877895	0.24421	0.122105
183	0.860287	0.279426	0.139713
184	0.847648	0.304705	0.152352
185	0.905345	0.18931	0.0946549
186	0.894442	0.211116	0.105558
187	0.882417	0.235166	0.117583
188	0.874496	0.251009	0.125504
189	0.865331	0.269337	0.134669
190	0.860246	0.279508	0.139754
191	0.857817	0.284365	0.142183
192	0.844692	0.310616	0.155308
193	0.827543	0.344914	0.172457
194	0.820054	0.359891	0.179946
195	0.809699	0.380602	0.190301
196	0.791426	0.417148	0.208574
197	0.768031	0.463938	0.231969
198	0.737398	0.525204	0.262602
199	0.705497	0.589006	0.294503
200	0.682324	0.635353	0.317676
201	0.890551	0.218898	0.109449
202	0.887506	0.224989	0.112494
203	0.871239	0.257522	0.128761
204	0.874346	0.251308	0.125654
205	0.85585	0.288299	0.14415
206	0.845057	0.309887	0.154943
207	0.92872	0.14256	0.0712798
208	0.936964	0.126073	0.0630364
209	0.944597	0.110805	0.0554026
210	0.932274	0.135452	0.0677261
211	0.94161	0.11678	0.0583902
212	0.936916	0.126168	0.0630839
213	0.923765	0.15247	0.076235
214	0.907078	0.185845	0.0929225
215	0.898765	0.20247	0.101235
216	0.883152	0.233696	0.116848
217	0.859813	0.280374	0.140187
218	0.905929	0.188142	0.0940708
219	0.896565	0.20687	0.103435
220	0.880804	0.238393	0.119196
221	0.862383	0.275234	0.137617
222	0.917152	0.165696	0.0828482
223	0.906276	0.187449	0.0937243
224	0.90523	0.189539	0.0947696
225	0.893303	0.213393	0.106697
226	0.898218	0.203563	0.101782
227	0.876254	0.247492	0.123746
228	0.849498	0.301004	0.150502
229	0.820205	0.35959	0.179795
230	0.795984	0.408033	0.204016
231	0.889011	0.221978	0.110989
232	0.874479	0.251042	0.125521
233	0.846139	0.307721	0.153861
234	0.881022	0.237956	0.118978
235	0.858117	0.283765	0.141883
236	0.93069	0.13862	0.0693101
237	0.953312	0.0933764	0.0466882
238	0.944959	0.110082	0.0550408
239	0.957598	0.0848049	0.0424024
240	0.943067	0.113865	0.0569325
241	0.933735	0.13253	0.0662652
242	0.928513	0.142975	0.0714874
243	0.905417	0.189167	0.0945833
244	0.984819	0.0303628	0.0151814
245	0.98237	0.0352602	0.0176301
246	0.974878	0.0502435	0.0251218
247	0.972944	0.0541119	0.027056
248	0.960384	0.0792311	0.0396156
249	0.94395	0.1121	0.0560502
250	0.920668	0.158664	0.0793318
251	0.892486	0.215027	0.107514
252	0.893168	0.213663	0.106832
253	0.854905	0.29019	0.145095
254	0.807933	0.384133	0.192067
255	0.917912	0.164177	0.0820884
256	0.882034	0.235933	0.117966
257	0.864776	0.270448	0.135224
258	0.810769	0.378462	0.189231
259	0.738446	0.523107	0.261554
260	0.65166	0.696681	0.34834
261	0.670627	0.658746	0.329373
262	0.590615	0.81877	0.409385
263	0.622347	0.755306	0.377653
264	0.512417	0.975166	0.487583
265	0.373685	0.74737	0.626315
266	0.271916	0.543832	0.728084

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	0	0	OK
5% type I error level	2	0.00784314	OK
10% type I error level	9	0.0352941	OK

\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 & 0 & 0 & OK \tabularnewline
5% type I error level & 2 & 0.00784314 & OK \tabularnewline
10% type I error level & 9 & 0.0352941 & OK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=272973&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]0[/C][C]0[/C][C]OK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]2[/C][C]0.00784314[/C][C]OK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]9[/C][C]0.0352941[/C][C]OK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=272973&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=272973&T=6

As an alternative you can also use a QR Code:

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	0	0	OK
5% type I error level	2	0.00784314	OK
10% type I error level	9	0.0352941	OK

Figure 1

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Figure 3

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Figure 4

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Figure 5

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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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Parameters (Session):

par1 = 2 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;

Parameters (R input):

par1 = 2 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;

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

library(lattice)
library(lmtest)
n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
par1 <- as.numeric(par1)
x <- t(y)
k <- length(x[1,])
n <- length(x[,1])
x1 <- cbind(x[,par1], x[,1:k!=par1])
mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1])
colnames(x1) <- mycolnames #colnames(x)[par1]
x <- x1
if (par3 == 'First Differences'){
x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep='')))
for (i in 1:n-1) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
}
if (par2 == 'Include Monthly Dummies'){
x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep ='')))
for (i in 1:11){
x2[seq(i,n,12),i] <- 1
}
x <- cbind(x, x2)
}
if (par2 == 'Include Quarterly Dummies'){
x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep ='')))
for (i in 1:3){
x2[seq(i,n,4),i] <- 1
}
x <- cbind(x, x2)
}
k <- length(x[1,])
if (par3 == 'Linear Trend'){
x <- cbind(x, c(1:n))
colnames(x)[k+1] <- 't'
}
x
k <- length(x[1,])
df <- as.data.frame(x)
(mylm <- lm(df))
(mysum <- summary(mylm))
if (n > n25) {
kp3 <- k + 3
nmkm3 <- n - k - 3
gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
numgqtests <- 0
numsignificant1 <- 0
numsignificant5 <- 0
numsignificant10 <- 0
for (mypoint in kp3:nmkm3) {
j <- 0
numgqtests <- numgqtests + 1
for (myalt in c('greater', 'two.sided', 'less')) {
j <- j + 1
gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value
}
if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1
if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1
if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1
}
gqarr
}
bitmap(file='test0.png')
plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')
points(x[,1]-mysum$resid)
grid()
dev.off()
bitmap(file='test1.png')
plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
grid()
dev.off()
bitmap(file='test2.png')
hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
grid()
dev.off()
bitmap(file='test3.png')
densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
dev.off()
bitmap(file='test4.png')
qqnorm(mysum$resid, main='Residual Normal Q-Q Plot')
qqline(mysum$resid)
grid()
dev.off()
(myerror <- as.ts(mysum$resid))
bitmap(file='test5.png')
dum <- cbind(lag(myerror,k=1),myerror)
dum
dum1 <- dum[2:length(myerror),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
lines(lowess(z))
abline(lm(z))
grid()
dev.off()
bitmap(file='test6.png')
acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
grid()
dev.off()
bitmap(file='test7.png')
pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
grid()
dev.off()
bitmap(file='test8.png')
opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
plot(mylm, las = 1, sub='Residual Diagnostics')
par(opar)
dev.off()
if (n > n25) {
bitmap(file='test9.png')
plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
grid()
dev.off()
}
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
a<-table.row.end(a)
myeq <- colnames(x)[1]
myeq <- paste(myeq, '[t] = ', sep='')
for (i in 1:k){
if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, signif(mysum$coefficients[i,1],6), sep=' ')
if (rownames(mysum$coefficients)[i] != '(Intercept)') {
myeq <- paste(myeq, rownames(mysum$coefficients)[i], sep='')
if (rownames(mysum$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='')
}
}
myeq <- paste(myeq, ' + e[t]')
a<-table.row.start(a)
a<-table.element(a, myeq)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',header=TRUE)
a<-table.element(a,'Parameter',header=TRUE)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE)
a<-table.element(a,'2-tail p-value',header=TRUE)
a<-table.element(a,'1-tail p-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:k){
a<-table.row.start(a)
a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE)
a<-table.element(a,signif(mysum$coefficients[i,1],6))
a<-table.element(a, signif(mysum$coefficients[i,2],6))
a<-table.element(a, signif(mysum$coefficients[i,3],4))
a<-table.element(a, signif(mysum$coefficients[i,4],6))
a<-table.element(a, signif(mysum$coefficients[i,4]/2,6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a, signif(sqrt(mysum$r.squared),6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a, signif(mysum$r.squared,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a, signif(mysum$adj.r.squared,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[1],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[2],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[3],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a, signif(1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]),6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Residual Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Residual Standard Deviation',1,TRUE)
a<-table.element(a, signif(mysum$sigma,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a, signif(sum(myerror*myerror),6))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,signif(x[i],6))
a<-table.element(a,signif(x[i]-mysum$resid[i],6))
a<-table.element(a,signif(mysum$resid[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable4.tab')
if (n > n25) {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-values',header=TRUE)
a<-table.element(a,'Alternative Hypothesis',3,header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'breakpoint index',header=TRUE)
a<-table.element(a,'greater',header=TRUE)
a<-table.element(a,'2-sided',header=TRUE)
a<-table.element(a,'less',header=TRUE)
a<-table.row.end(a)
for (mypoint in kp3:nmkm3) {
a<-table.row.start(a)
a<-table.element(a,mypoint,header=TRUE)
a<-table.element(a,signif(gqarr[mypoint-kp3+1,1],6))
a<-table.element(a,signif(gqarr[mypoint-kp3+1,2],6))
a<-table.element(a,signif(gqarr[mypoint-kp3+1,3],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable5.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Description',header=TRUE)
a<-table.element(a,'# significant tests',header=TRUE)
a<-table.element(a,'% significant tests',header=TRUE)
a<-table.element(a,'OK/NOK',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'1% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant1,6))
a<-table.element(a,signif(numsignificant1/numgqtests,6))
if (numsignificant1/numgqtests < 0.01) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'5% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant5,6))
a<-table.element(a,signif(numsignificant5/numgqtests,6))
if (numsignificant5/numgqtests < 0.05) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'10% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant10,6))
a<-table.element(a,signif(numsignificant10/numgqtests,6))
if (numsignificant10/numgqtests < 0.1) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable6.tab')
}

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code