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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationSun, 18 Jan 2015 18:52:32 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Jan/18/t1421607180lfaiyvkzrqe05q5.htm/, Retrieved Tue, 14 May 2024 14:00:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=274298, Retrieved Tue, 14 May 2024 14:00:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact59

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [Exx8] [2015-01-18 18:52:32] [4d754bf6e19324217bcb21f53e4ec277] [Current]
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Dataset

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

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time11 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 11 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=274298&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]11 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=274298&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=274298&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time11 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Multiple Linear Regression - Estimated Regression Equation
LFM[t] = + 30015.2 + 16.8152Calculation[t] + 17.7631Algebraic_Reasoning[t] -8.77305Graphical_Interpretation[t] + 0.40022Proportionality_and_Ratio[t] -0.548369Probability_and_Sampling[t] -14.8775year[t] + 42.184group[t] -7.42246gender[t] -4.85314Estimation[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
LFM[t] =  +  30015.2 +  16.8152Calculation[t] +  17.7631Algebraic_Reasoning[t] -8.77305Graphical_Interpretation[t] +  0.40022Proportionality_and_Ratio[t] -0.548369Probability_and_Sampling[t] -14.8775year[t] +  42.184group[t] -7.42246gender[t] -4.85314Estimation[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=274298&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]LFM[t] =  +  30015.2 +  16.8152Calculation[t] +  17.7631Algebraic_Reasoning[t] -8.77305Graphical_Interpretation[t] +  0.40022Proportionality_and_Ratio[t] -0.548369Probability_and_Sampling[t] -14.8775year[t] +  42.184group[t] -7.42246gender[t] -4.85314Estimation[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=274298&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=274298&T=1

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


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

Multiple Linear Regression - Estimated Regression Equation
LFM[t] = + 30015.2 + 16.8152Calculation[t] + 17.7631Algebraic_Reasoning[t] -8.77305Graphical_Interpretation[t] + 0.40022Proportionality_and_Ratio[t] -0.548369Probability_and_Sampling[t] -14.8775year[t] + 42.184group[t] -7.42246gender[t] -4.85314Estimation[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)30015.28382.773.5810.000406920.00020346
Calculation16.815213.72581.2250.2216180.110809
Algebraic_Reasoning17.763112.86041.3810.168360.0841799
Graphical_Interpretation-8.7730510.0781-0.87050.3848030.192401
Proportionality_and_Ratio0.400226.31550.063370.9495180.474759
Probability_and_Sampling-0.5483696.03183-0.090910.927630.463815
year-14.87754.16721-3.570.0004227190.00021136
group42.1844.1559510.151.07445e-205.37225e-21
gender-7.422464.32075-1.7180.08697650.0434882
Estimation-4.853145.5826-0.86930.3854430.192721

\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) & 30015.2 & 8382.77 & 3.581 & 0.00040692 & 0.00020346 \tabularnewline
Calculation & 16.8152 & 13.7258 & 1.225 & 0.221618 & 0.110809 \tabularnewline
Algebraic_Reasoning & 17.7631 & 12.8604 & 1.381 & 0.16836 & 0.0841799 \tabularnewline
Graphical_Interpretation & -8.77305 & 10.0781 & -0.8705 & 0.384803 & 0.192401 \tabularnewline
Proportionality_and_Ratio & 0.40022 & 6.3155 & 0.06337 & 0.949518 & 0.474759 \tabularnewline
Probability_and_Sampling & -0.548369 & 6.03183 & -0.09091 & 0.92763 & 0.463815 \tabularnewline
year & -14.8775 & 4.16721 & -3.57 & 0.000422719 & 0.00021136 \tabularnewline
group & 42.184 & 4.15595 & 10.15 & 1.07445e-20 & 5.37225e-21 \tabularnewline
gender & -7.42246 & 4.32075 & -1.718 & 0.0869765 & 0.0434882 \tabularnewline
Estimation & -4.85314 & 5.5826 & -0.8693 & 0.385443 & 0.192721 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=274298&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]30015.2[/C][C]8382.77[/C][C]3.581[/C][C]0.00040692[/C][C]0.00020346[/C][/ROW]
[ROW][C]Calculation[/C][C]16.8152[/C][C]13.7258[/C][C]1.225[/C][C]0.221618[/C][C]0.110809[/C][/ROW]
[ROW][C]Algebraic_Reasoning[/C][C]17.7631[/C][C]12.8604[/C][C]1.381[/C][C]0.16836[/C][C]0.0841799[/C][/ROW]
[ROW][C]Graphical_Interpretation[/C][C]-8.77305[/C][C]10.0781[/C][C]-0.8705[/C][C]0.384803[/C][C]0.192401[/C][/ROW]
[ROW][C]Proportionality_and_Ratio[/C][C]0.40022[/C][C]6.3155[/C][C]0.06337[/C][C]0.949518[/C][C]0.474759[/C][/ROW]
[ROW][C]Probability_and_Sampling[/C][C]-0.548369[/C][C]6.03183[/C][C]-0.09091[/C][C]0.92763[/C][C]0.463815[/C][/ROW]
[ROW][C]year[/C][C]-14.8775[/C][C]4.16721[/C][C]-3.57[/C][C]0.000422719[/C][C]0.00021136[/C][/ROW]
[ROW][C]group[/C][C]42.184[/C][C]4.15595[/C][C]10.15[/C][C]1.07445e-20[/C][C]5.37225e-21[/C][/ROW]
[ROW][C]gender[/C][C]-7.42246[/C][C]4.32075[/C][C]-1.718[/C][C]0.0869765[/C][C]0.0434882[/C][/ROW]
[ROW][C]Estimation[/C][C]-4.85314[/C][C]5.5826[/C][C]-0.8693[/C][C]0.385443[/C][C]0.192721[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=274298&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=274298&T=2

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


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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)30015.28382.773.5810.000406920.00020346
Calculation16.815213.72581.2250.2216180.110809
Algebraic_Reasoning17.763112.86041.3810.168360.0841799
Graphical_Interpretation-8.7730510.0781-0.87050.3848030.192401
Proportionality_and_Ratio0.400226.31550.063370.9495180.474759
Probability_and_Sampling-0.5483696.03183-0.090910.927630.463815
year-14.87754.16721-3.570.0004227190.00021136
group42.1844.1559510.151.07445e-205.37225e-21
gender-7.422464.32075-1.7180.08697650.0434882
Estimation-4.853145.5826-0.86930.3854430.192721






Multiple Linear Regression - Regression Statistics
Multiple R0.568943
R-squared0.323697
Adjusted R-squared0.300985
F-TEST (value)14.2524
F-TEST (DF numerator)9
F-TEST (DF denominator)268
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation33.3044
Sum Squared Residuals297260

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.568943 \tabularnewline
R-squared & 0.323697 \tabularnewline
Adjusted R-squared & 0.300985 \tabularnewline
F-TEST (value) & 14.2524 \tabularnewline
F-TEST (DF numerator) & 9 \tabularnewline
F-TEST (DF denominator) & 268 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 33.3044 \tabularnewline
Sum Squared Residuals & 297260 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=274298&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.568943[/C][/ROW]
[ROW][C]R-squared[/C][C]0.323697[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.300985[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]14.2524[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]9[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]268[/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]33.3044[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]297260[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=274298&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=274298&T=3

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


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

Multiple Linear Regression - Regression Statistics
Multiple R0.568943
R-squared0.323697
Adjusted R-squared0.300985
F-TEST (value)14.2524
F-TEST (DF numerator)9
F-TEST (DF denominator)268
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation33.3044
Sum Squared Residuals297260






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1149156.347-7.34659
2139142.834-3.83393
3148147.3990.601079
4158147.82910.1708
5128147.384-19.384
6224147.00876.9922
7159153.4695.5307
8105145.664-40.6643
9159151.1087.89237
10167149.7117.2903
11165152.32412.6761
12159139.35419.6465
13119141.861-22.8607
14176151.78524.2146
1554156.787-102.787
1691113.147-22.1468
17163143.48419.5158
18124151.513-27.5133
19137104.17732.8225
20121144.624-23.6236
21153143.1649.83643
22148143.3934.60699
23221150.45770.5428
24188137.77950.2208
25149149.61-0.610172
26244134.487109.513
27148109.61638.3844
2892109.133-17.1329
29150140.1099.89147
30153144.0658.93507
3194144.609-50.6089
32156149.7526.24831
33132147.458-15.4578
34161143.59517.4048
35105144.238-39.2381
3697138.635-41.6349
37151145.315.69034
3813199.596131.4039
39166145.39720.6034
40157152.4544.54633
41111143.832-32.8318
42145139.7025.29772
43162143.11918.8812
44163141.95821.0418
455993.8082-34.8082
46187154.66932.3313
47109140.542-31.5422
489096.9652-6.96524
49105156.189-51.1887
5083102.621-19.621
5111699.670716.3293
524296.3249-54.3249
53148136.92111.0791
54155103.57751.4231
55125142.438-17.4376
56116144.83-28.8304
57128104.98923.0113
58138144.313-6.31347
5949102.841-53.8408
6096108.25-12.2495
61164150.8113.1904
62162153.6048.39642
6399141.781-42.7811
64202142.19259.8085
65186149.75236.2483
666695.8633-29.8633
67183144.61838.3825
68214137.98976.0114
69188142.03445.9664
70104105.176-1.17613
71177155.58521.4147
72126152.721-26.7206
7376112.275-36.2753
7499100.786-1.78602
75139151.253-12.253
76162159.4372.56265
77108106.8391.16142
78159149.6899.31058
7974101.948-27.9482
80110145.907-35.9069
8196112.47-16.4696
82116108.7117.28922
8387106.359-19.3588
849795.80671.19328
85127104.75322.2468
86106105.4120.588097
878099.1513-19.1513
8874106.838-32.8384
8991110.92-19.9199
90133104.44228.5582
9174101.29-27.2895
9211493.682920.3171
93140100.71939.2813
9495104.731-9.7313
959898.9424-0.942376
96121111.3959.60549
97126107.82918.1714
9898102.938-4.9384
9995102.562-7.56233
10011097.1612.84
10170100.487-30.4868
102102105.639-3.639
10386103.899-17.8985
10413099.592630.4074
10596101.727-5.72721
106102111.332-9.3317
107100105.541-5.54115
10894108.796-14.7961
10952107.825-55.8251
11098105.45-7.45031
111118110.5377.46339
1129995.58453.41547
11348125.985-77.9853
11450120.925-70.9246
115150124.99125.0086
116154124.75629.244
11710998.729310.2707
1186881.374-13.374
119194133.55360.4465
120158130.19727.8033
121159130.21628.7837
12267132.83-65.8301
123147128.53718.4629
12439128.499-89.4987
125100119.623-19.6233
126111122.25-11.2502
127138128.1729.82813
128101121.782-20.7817
12913190.333540.6665
130101129.595-28.5946
131114124.683-10.6826
132165138.95626.0439
133114123.826-9.82614
134111118.377-7.37667
13575125.715-50.715
13682122.818-40.8176
137121122.701-1.70087
13832131.802-99.8017
139150135.86214.1375
140117128.37-11.3701
1417182.5852-11.5852
142165121.13643.864
143154121.93532.0648
144126124.8251.17527
145149133.40815.5922
146145139.6935.30727
147120119.690.309518
148109134.624-25.6243
149132131.1450.855347
150172126.17445.826
151169134.39534.6051
152114136.297-22.2974
153156130.27525.725
154172133.74538.2554
1556888.4191-20.4191
1568983.8645.13599
157167130.08536.9151
158113135.442-22.4416
15911597.095117.9049
1607892.7084-14.7084
16111897.300520.6995
1628782.61544.38463
163173137.14835.8517
1642126.977-124.977
16516297.676664.3234
1664980.3808-31.3808
16712299.018122.9819
1689686.77499.22512
16910092.83737.16268
1708288.1402-6.14016
17110089.471810.5282
17211595.96919.031
173141100.13440.8665
174165126.32738.6731
175165126.32738.6731
17611081.002528.9975
177118124.404-6.40377
178158134.86323.1366
17914689.67656.324
18049130.462-81.4623
1819096.5843-6.58429
18212194.922426.0776
183155135.13919.8611
18410498.79075.20928
18514789.978757.0213
186110100.5439.45682
187108100.5437.45682
188113100.54312.4568
18911598.693516.3065
1906195.724-34.724
1916087.9697-27.9697
19210975.507433.4926
1936878.2839-10.2839
19411188.753922.2461
1957790.1051-13.1051
1967391.4536-18.4536
197151141.6439.35706
1988985.68223.31778
1997887.6207-9.62075
20011091.271818.7282
201220130.21689.7837
2026588.6847-23.6847
203141127.99513.0052
20411795.263921.7361
205122125.676-3.67581
2066391.9609-28.9609
20744120.993-76.9933
2085284.6912-32.6912
20913181.624649.3754
21010183.658517.3415
2114291.6868-49.6868
212152126.53825.4617
213107128.829-21.8287
2147789.7843-12.7843
215154139.34214.6583
216103124.787-21.7871
2179686.92629.07381
218175126.11548.8847
2195790.9381-33.9381
220112101.20110.7993
221143129.77113.2289
2224982.8785-33.8785
223110133.432-23.4321
224131123.6197.38082
225167127.4839.5195
2265697.808-41.808
227137127.569.4401
2288684.26421.73577
229121132.369-11.3687
230149134.5914.4103
231168131.20736.7927
232140128.55811.4415
2338884.41713.58295
234168125.74942.2508
23594123.785-29.7848
23651130.348-79.3484
2374895.2454-47.2454
238145122.99922.0011
23966121.935-55.9352
2408586.4949-1.49485
241109134.024-25.0235
2426391.1147-28.1147
24310286.759615.2404
24416297.676664.3234
2458687.8963-1.89631
24611484.207629.7924
247164132.60431.3961
248119132.81-13.8095
249126133.755-7.75536
250132121.33710.6631
251142129.95912.0411
25283137.916-54.9164
2539488.39385.60625
2548192.4533-11.4533
255166129.87936.1205
25611095.798414.2016
2576485.5212-21.5212
25893140.59-47.5903
25910492.196311.8037
26010579.992925.0071
2614980.3808-31.3808
2628897.6481-9.64807
2639587.25547.74461
26410286.759615.2404
2659990.85878.14127
2666380.6636-17.6636
2677699.8619-23.8619
26810986.888922.1111
26911792.572324.4277
2705792.2637-35.2637
27112094.564125.4359
2727384.1429-11.1429
2739181.98299.01713
27410895.392112.6079
27510585.8119.19
276117139.175-22.1745
27711997.80821.192
2783198.4088-67.4088

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 149 & 156.347 & -7.34659 \tabularnewline
2 & 139 & 142.834 & -3.83393 \tabularnewline
3 & 148 & 147.399 & 0.601079 \tabularnewline
4 & 158 & 147.829 & 10.1708 \tabularnewline
5 & 128 & 147.384 & -19.384 \tabularnewline
6 & 224 & 147.008 & 76.9922 \tabularnewline
7 & 159 & 153.469 & 5.5307 \tabularnewline
8 & 105 & 145.664 & -40.6643 \tabularnewline
9 & 159 & 151.108 & 7.89237 \tabularnewline
10 & 167 & 149.71 & 17.2903 \tabularnewline
11 & 165 & 152.324 & 12.6761 \tabularnewline
12 & 159 & 139.354 & 19.6465 \tabularnewline
13 & 119 & 141.861 & -22.8607 \tabularnewline
14 & 176 & 151.785 & 24.2146 \tabularnewline
15 & 54 & 156.787 & -102.787 \tabularnewline
16 & 91 & 113.147 & -22.1468 \tabularnewline
17 & 163 & 143.484 & 19.5158 \tabularnewline
18 & 124 & 151.513 & -27.5133 \tabularnewline
19 & 137 & 104.177 & 32.8225 \tabularnewline
20 & 121 & 144.624 & -23.6236 \tabularnewline
21 & 153 & 143.164 & 9.83643 \tabularnewline
22 & 148 & 143.393 & 4.60699 \tabularnewline
23 & 221 & 150.457 & 70.5428 \tabularnewline
24 & 188 & 137.779 & 50.2208 \tabularnewline
25 & 149 & 149.61 & -0.610172 \tabularnewline
26 & 244 & 134.487 & 109.513 \tabularnewline
27 & 148 & 109.616 & 38.3844 \tabularnewline
28 & 92 & 109.133 & -17.1329 \tabularnewline
29 & 150 & 140.109 & 9.89147 \tabularnewline
30 & 153 & 144.065 & 8.93507 \tabularnewline
31 & 94 & 144.609 & -50.6089 \tabularnewline
32 & 156 & 149.752 & 6.24831 \tabularnewline
33 & 132 & 147.458 & -15.4578 \tabularnewline
34 & 161 & 143.595 & 17.4048 \tabularnewline
35 & 105 & 144.238 & -39.2381 \tabularnewline
36 & 97 & 138.635 & -41.6349 \tabularnewline
37 & 151 & 145.31 & 5.69034 \tabularnewline
38 & 131 & 99.5961 & 31.4039 \tabularnewline
39 & 166 & 145.397 & 20.6034 \tabularnewline
40 & 157 & 152.454 & 4.54633 \tabularnewline
41 & 111 & 143.832 & -32.8318 \tabularnewline
42 & 145 & 139.702 & 5.29772 \tabularnewline
43 & 162 & 143.119 & 18.8812 \tabularnewline
44 & 163 & 141.958 & 21.0418 \tabularnewline
45 & 59 & 93.8082 & -34.8082 \tabularnewline
46 & 187 & 154.669 & 32.3313 \tabularnewline
47 & 109 & 140.542 & -31.5422 \tabularnewline
48 & 90 & 96.9652 & -6.96524 \tabularnewline
49 & 105 & 156.189 & -51.1887 \tabularnewline
50 & 83 & 102.621 & -19.621 \tabularnewline
51 & 116 & 99.6707 & 16.3293 \tabularnewline
52 & 42 & 96.3249 & -54.3249 \tabularnewline
53 & 148 & 136.921 & 11.0791 \tabularnewline
54 & 155 & 103.577 & 51.4231 \tabularnewline
55 & 125 & 142.438 & -17.4376 \tabularnewline
56 & 116 & 144.83 & -28.8304 \tabularnewline
57 & 128 & 104.989 & 23.0113 \tabularnewline
58 & 138 & 144.313 & -6.31347 \tabularnewline
59 & 49 & 102.841 & -53.8408 \tabularnewline
60 & 96 & 108.25 & -12.2495 \tabularnewline
61 & 164 & 150.81 & 13.1904 \tabularnewline
62 & 162 & 153.604 & 8.39642 \tabularnewline
63 & 99 & 141.781 & -42.7811 \tabularnewline
64 & 202 & 142.192 & 59.8085 \tabularnewline
65 & 186 & 149.752 & 36.2483 \tabularnewline
66 & 66 & 95.8633 & -29.8633 \tabularnewline
67 & 183 & 144.618 & 38.3825 \tabularnewline
68 & 214 & 137.989 & 76.0114 \tabularnewline
69 & 188 & 142.034 & 45.9664 \tabularnewline
70 & 104 & 105.176 & -1.17613 \tabularnewline
71 & 177 & 155.585 & 21.4147 \tabularnewline
72 & 126 & 152.721 & -26.7206 \tabularnewline
73 & 76 & 112.275 & -36.2753 \tabularnewline
74 & 99 & 100.786 & -1.78602 \tabularnewline
75 & 139 & 151.253 & -12.253 \tabularnewline
76 & 162 & 159.437 & 2.56265 \tabularnewline
77 & 108 & 106.839 & 1.16142 \tabularnewline
78 & 159 & 149.689 & 9.31058 \tabularnewline
79 & 74 & 101.948 & -27.9482 \tabularnewline
80 & 110 & 145.907 & -35.9069 \tabularnewline
81 & 96 & 112.47 & -16.4696 \tabularnewline
82 & 116 & 108.711 & 7.28922 \tabularnewline
83 & 87 & 106.359 & -19.3588 \tabularnewline
84 & 97 & 95.8067 & 1.19328 \tabularnewline
85 & 127 & 104.753 & 22.2468 \tabularnewline
86 & 106 & 105.412 & 0.588097 \tabularnewline
87 & 80 & 99.1513 & -19.1513 \tabularnewline
88 & 74 & 106.838 & -32.8384 \tabularnewline
89 & 91 & 110.92 & -19.9199 \tabularnewline
90 & 133 & 104.442 & 28.5582 \tabularnewline
91 & 74 & 101.29 & -27.2895 \tabularnewline
92 & 114 & 93.6829 & 20.3171 \tabularnewline
93 & 140 & 100.719 & 39.2813 \tabularnewline
94 & 95 & 104.731 & -9.7313 \tabularnewline
95 & 98 & 98.9424 & -0.942376 \tabularnewline
96 & 121 & 111.395 & 9.60549 \tabularnewline
97 & 126 & 107.829 & 18.1714 \tabularnewline
98 & 98 & 102.938 & -4.9384 \tabularnewline
99 & 95 & 102.562 & -7.56233 \tabularnewline
100 & 110 & 97.16 & 12.84 \tabularnewline
101 & 70 & 100.487 & -30.4868 \tabularnewline
102 & 102 & 105.639 & -3.639 \tabularnewline
103 & 86 & 103.899 & -17.8985 \tabularnewline
104 & 130 & 99.5926 & 30.4074 \tabularnewline
105 & 96 & 101.727 & -5.72721 \tabularnewline
106 & 102 & 111.332 & -9.3317 \tabularnewline
107 & 100 & 105.541 & -5.54115 \tabularnewline
108 & 94 & 108.796 & -14.7961 \tabularnewline
109 & 52 & 107.825 & -55.8251 \tabularnewline
110 & 98 & 105.45 & -7.45031 \tabularnewline
111 & 118 & 110.537 & 7.46339 \tabularnewline
112 & 99 & 95.5845 & 3.41547 \tabularnewline
113 & 48 & 125.985 & -77.9853 \tabularnewline
114 & 50 & 120.925 & -70.9246 \tabularnewline
115 & 150 & 124.991 & 25.0086 \tabularnewline
116 & 154 & 124.756 & 29.244 \tabularnewline
117 & 109 & 98.7293 & 10.2707 \tabularnewline
118 & 68 & 81.374 & -13.374 \tabularnewline
119 & 194 & 133.553 & 60.4465 \tabularnewline
120 & 158 & 130.197 & 27.8033 \tabularnewline
121 & 159 & 130.216 & 28.7837 \tabularnewline
122 & 67 & 132.83 & -65.8301 \tabularnewline
123 & 147 & 128.537 & 18.4629 \tabularnewline
124 & 39 & 128.499 & -89.4987 \tabularnewline
125 & 100 & 119.623 & -19.6233 \tabularnewline
126 & 111 & 122.25 & -11.2502 \tabularnewline
127 & 138 & 128.172 & 9.82813 \tabularnewline
128 & 101 & 121.782 & -20.7817 \tabularnewline
129 & 131 & 90.3335 & 40.6665 \tabularnewline
130 & 101 & 129.595 & -28.5946 \tabularnewline
131 & 114 & 124.683 & -10.6826 \tabularnewline
132 & 165 & 138.956 & 26.0439 \tabularnewline
133 & 114 & 123.826 & -9.82614 \tabularnewline
134 & 111 & 118.377 & -7.37667 \tabularnewline
135 & 75 & 125.715 & -50.715 \tabularnewline
136 & 82 & 122.818 & -40.8176 \tabularnewline
137 & 121 & 122.701 & -1.70087 \tabularnewline
138 & 32 & 131.802 & -99.8017 \tabularnewline
139 & 150 & 135.862 & 14.1375 \tabularnewline
140 & 117 & 128.37 & -11.3701 \tabularnewline
141 & 71 & 82.5852 & -11.5852 \tabularnewline
142 & 165 & 121.136 & 43.864 \tabularnewline
143 & 154 & 121.935 & 32.0648 \tabularnewline
144 & 126 & 124.825 & 1.17527 \tabularnewline
145 & 149 & 133.408 & 15.5922 \tabularnewline
146 & 145 & 139.693 & 5.30727 \tabularnewline
147 & 120 & 119.69 & 0.309518 \tabularnewline
148 & 109 & 134.624 & -25.6243 \tabularnewline
149 & 132 & 131.145 & 0.855347 \tabularnewline
150 & 172 & 126.174 & 45.826 \tabularnewline
151 & 169 & 134.395 & 34.6051 \tabularnewline
152 & 114 & 136.297 & -22.2974 \tabularnewline
153 & 156 & 130.275 & 25.725 \tabularnewline
154 & 172 & 133.745 & 38.2554 \tabularnewline
155 & 68 & 88.4191 & -20.4191 \tabularnewline
156 & 89 & 83.864 & 5.13599 \tabularnewline
157 & 167 & 130.085 & 36.9151 \tabularnewline
158 & 113 & 135.442 & -22.4416 \tabularnewline
159 & 115 & 97.0951 & 17.9049 \tabularnewline
160 & 78 & 92.7084 & -14.7084 \tabularnewline
161 & 118 & 97.3005 & 20.6995 \tabularnewline
162 & 87 & 82.6154 & 4.38463 \tabularnewline
163 & 173 & 137.148 & 35.8517 \tabularnewline
164 & 2 & 126.977 & -124.977 \tabularnewline
165 & 162 & 97.6766 & 64.3234 \tabularnewline
166 & 49 & 80.3808 & -31.3808 \tabularnewline
167 & 122 & 99.0181 & 22.9819 \tabularnewline
168 & 96 & 86.7749 & 9.22512 \tabularnewline
169 & 100 & 92.8373 & 7.16268 \tabularnewline
170 & 82 & 88.1402 & -6.14016 \tabularnewline
171 & 100 & 89.4718 & 10.5282 \tabularnewline
172 & 115 & 95.969 & 19.031 \tabularnewline
173 & 141 & 100.134 & 40.8665 \tabularnewline
174 & 165 & 126.327 & 38.6731 \tabularnewline
175 & 165 & 126.327 & 38.6731 \tabularnewline
176 & 110 & 81.0025 & 28.9975 \tabularnewline
177 & 118 & 124.404 & -6.40377 \tabularnewline
178 & 158 & 134.863 & 23.1366 \tabularnewline
179 & 146 & 89.676 & 56.324 \tabularnewline
180 & 49 & 130.462 & -81.4623 \tabularnewline
181 & 90 & 96.5843 & -6.58429 \tabularnewline
182 & 121 & 94.9224 & 26.0776 \tabularnewline
183 & 155 & 135.139 & 19.8611 \tabularnewline
184 & 104 & 98.7907 & 5.20928 \tabularnewline
185 & 147 & 89.9787 & 57.0213 \tabularnewline
186 & 110 & 100.543 & 9.45682 \tabularnewline
187 & 108 & 100.543 & 7.45682 \tabularnewline
188 & 113 & 100.543 & 12.4568 \tabularnewline
189 & 115 & 98.6935 & 16.3065 \tabularnewline
190 & 61 & 95.724 & -34.724 \tabularnewline
191 & 60 & 87.9697 & -27.9697 \tabularnewline
192 & 109 & 75.5074 & 33.4926 \tabularnewline
193 & 68 & 78.2839 & -10.2839 \tabularnewline
194 & 111 & 88.7539 & 22.2461 \tabularnewline
195 & 77 & 90.1051 & -13.1051 \tabularnewline
196 & 73 & 91.4536 & -18.4536 \tabularnewline
197 & 151 & 141.643 & 9.35706 \tabularnewline
198 & 89 & 85.6822 & 3.31778 \tabularnewline
199 & 78 & 87.6207 & -9.62075 \tabularnewline
200 & 110 & 91.2718 & 18.7282 \tabularnewline
201 & 220 & 130.216 & 89.7837 \tabularnewline
202 & 65 & 88.6847 & -23.6847 \tabularnewline
203 & 141 & 127.995 & 13.0052 \tabularnewline
204 & 117 & 95.2639 & 21.7361 \tabularnewline
205 & 122 & 125.676 & -3.67581 \tabularnewline
206 & 63 & 91.9609 & -28.9609 \tabularnewline
207 & 44 & 120.993 & -76.9933 \tabularnewline
208 & 52 & 84.6912 & -32.6912 \tabularnewline
209 & 131 & 81.6246 & 49.3754 \tabularnewline
210 & 101 & 83.6585 & 17.3415 \tabularnewline
211 & 42 & 91.6868 & -49.6868 \tabularnewline
212 & 152 & 126.538 & 25.4617 \tabularnewline
213 & 107 & 128.829 & -21.8287 \tabularnewline
214 & 77 & 89.7843 & -12.7843 \tabularnewline
215 & 154 & 139.342 & 14.6583 \tabularnewline
216 & 103 & 124.787 & -21.7871 \tabularnewline
217 & 96 & 86.9262 & 9.07381 \tabularnewline
218 & 175 & 126.115 & 48.8847 \tabularnewline
219 & 57 & 90.9381 & -33.9381 \tabularnewline
220 & 112 & 101.201 & 10.7993 \tabularnewline
221 & 143 & 129.771 & 13.2289 \tabularnewline
222 & 49 & 82.8785 & -33.8785 \tabularnewline
223 & 110 & 133.432 & -23.4321 \tabularnewline
224 & 131 & 123.619 & 7.38082 \tabularnewline
225 & 167 & 127.48 & 39.5195 \tabularnewline
226 & 56 & 97.808 & -41.808 \tabularnewline
227 & 137 & 127.56 & 9.4401 \tabularnewline
228 & 86 & 84.2642 & 1.73577 \tabularnewline
229 & 121 & 132.369 & -11.3687 \tabularnewline
230 & 149 & 134.59 & 14.4103 \tabularnewline
231 & 168 & 131.207 & 36.7927 \tabularnewline
232 & 140 & 128.558 & 11.4415 \tabularnewline
233 & 88 & 84.4171 & 3.58295 \tabularnewline
234 & 168 & 125.749 & 42.2508 \tabularnewline
235 & 94 & 123.785 & -29.7848 \tabularnewline
236 & 51 & 130.348 & -79.3484 \tabularnewline
237 & 48 & 95.2454 & -47.2454 \tabularnewline
238 & 145 & 122.999 & 22.0011 \tabularnewline
239 & 66 & 121.935 & -55.9352 \tabularnewline
240 & 85 & 86.4949 & -1.49485 \tabularnewline
241 & 109 & 134.024 & -25.0235 \tabularnewline
242 & 63 & 91.1147 & -28.1147 \tabularnewline
243 & 102 & 86.7596 & 15.2404 \tabularnewline
244 & 162 & 97.6766 & 64.3234 \tabularnewline
245 & 86 & 87.8963 & -1.89631 \tabularnewline
246 & 114 & 84.2076 & 29.7924 \tabularnewline
247 & 164 & 132.604 & 31.3961 \tabularnewline
248 & 119 & 132.81 & -13.8095 \tabularnewline
249 & 126 & 133.755 & -7.75536 \tabularnewline
250 & 132 & 121.337 & 10.6631 \tabularnewline
251 & 142 & 129.959 & 12.0411 \tabularnewline
252 & 83 & 137.916 & -54.9164 \tabularnewline
253 & 94 & 88.3938 & 5.60625 \tabularnewline
254 & 81 & 92.4533 & -11.4533 \tabularnewline
255 & 166 & 129.879 & 36.1205 \tabularnewline
256 & 110 & 95.7984 & 14.2016 \tabularnewline
257 & 64 & 85.5212 & -21.5212 \tabularnewline
258 & 93 & 140.59 & -47.5903 \tabularnewline
259 & 104 & 92.1963 & 11.8037 \tabularnewline
260 & 105 & 79.9929 & 25.0071 \tabularnewline
261 & 49 & 80.3808 & -31.3808 \tabularnewline
262 & 88 & 97.6481 & -9.64807 \tabularnewline
263 & 95 & 87.2554 & 7.74461 \tabularnewline
264 & 102 & 86.7596 & 15.2404 \tabularnewline
265 & 99 & 90.8587 & 8.14127 \tabularnewline
266 & 63 & 80.6636 & -17.6636 \tabularnewline
267 & 76 & 99.8619 & -23.8619 \tabularnewline
268 & 109 & 86.8889 & 22.1111 \tabularnewline
269 & 117 & 92.5723 & 24.4277 \tabularnewline
270 & 57 & 92.2637 & -35.2637 \tabularnewline
271 & 120 & 94.5641 & 25.4359 \tabularnewline
272 & 73 & 84.1429 & -11.1429 \tabularnewline
273 & 91 & 81.9829 & 9.01713 \tabularnewline
274 & 108 & 95.3921 & 12.6079 \tabularnewline
275 & 105 & 85.81 & 19.19 \tabularnewline
276 & 117 & 139.175 & -22.1745 \tabularnewline
277 & 119 & 97.808 & 21.192 \tabularnewline
278 & 31 & 98.4088 & -67.4088 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=274298&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]156.347[/C][C]-7.34659[/C][/ROW]
[ROW][C]2[/C][C]139[/C][C]142.834[/C][C]-3.83393[/C][/ROW]
[ROW][C]3[/C][C]148[/C][C]147.399[/C][C]0.601079[/C][/ROW]
[ROW][C]4[/C][C]158[/C][C]147.829[/C][C]10.1708[/C][/ROW]
[ROW][C]5[/C][C]128[/C][C]147.384[/C][C]-19.384[/C][/ROW]
[ROW][C]6[/C][C]224[/C][C]147.008[/C][C]76.9922[/C][/ROW]
[ROW][C]7[/C][C]159[/C][C]153.469[/C][C]5.5307[/C][/ROW]
[ROW][C]8[/C][C]105[/C][C]145.664[/C][C]-40.6643[/C][/ROW]
[ROW][C]9[/C][C]159[/C][C]151.108[/C][C]7.89237[/C][/ROW]
[ROW][C]10[/C][C]167[/C][C]149.71[/C][C]17.2903[/C][/ROW]
[ROW][C]11[/C][C]165[/C][C]152.324[/C][C]12.6761[/C][/ROW]
[ROW][C]12[/C][C]159[/C][C]139.354[/C][C]19.6465[/C][/ROW]
[ROW][C]13[/C][C]119[/C][C]141.861[/C][C]-22.8607[/C][/ROW]
[ROW][C]14[/C][C]176[/C][C]151.785[/C][C]24.2146[/C][/ROW]
[ROW][C]15[/C][C]54[/C][C]156.787[/C][C]-102.787[/C][/ROW]
[ROW][C]16[/C][C]91[/C][C]113.147[/C][C]-22.1468[/C][/ROW]
[ROW][C]17[/C][C]163[/C][C]143.484[/C][C]19.5158[/C][/ROW]
[ROW][C]18[/C][C]124[/C][C]151.513[/C][C]-27.5133[/C][/ROW]
[ROW][C]19[/C][C]137[/C][C]104.177[/C][C]32.8225[/C][/ROW]
[ROW][C]20[/C][C]121[/C][C]144.624[/C][C]-23.6236[/C][/ROW]
[ROW][C]21[/C][C]153[/C][C]143.164[/C][C]9.83643[/C][/ROW]
[ROW][C]22[/C][C]148[/C][C]143.393[/C][C]4.60699[/C][/ROW]
[ROW][C]23[/C][C]221[/C][C]150.457[/C][C]70.5428[/C][/ROW]
[ROW][C]24[/C][C]188[/C][C]137.779[/C][C]50.2208[/C][/ROW]
[ROW][C]25[/C][C]149[/C][C]149.61[/C][C]-0.610172[/C][/ROW]
[ROW][C]26[/C][C]244[/C][C]134.487[/C][C]109.513[/C][/ROW]
[ROW][C]27[/C][C]148[/C][C]109.616[/C][C]38.3844[/C][/ROW]
[ROW][C]28[/C][C]92[/C][C]109.133[/C][C]-17.1329[/C][/ROW]
[ROW][C]29[/C][C]150[/C][C]140.109[/C][C]9.89147[/C][/ROW]
[ROW][C]30[/C][C]153[/C][C]144.065[/C][C]8.93507[/C][/ROW]
[ROW][C]31[/C][C]94[/C][C]144.609[/C][C]-50.6089[/C][/ROW]
[ROW][C]32[/C][C]156[/C][C]149.752[/C][C]6.24831[/C][/ROW]
[ROW][C]33[/C][C]132[/C][C]147.458[/C][C]-15.4578[/C][/ROW]
[ROW][C]34[/C][C]161[/C][C]143.595[/C][C]17.4048[/C][/ROW]
[ROW][C]35[/C][C]105[/C][C]144.238[/C][C]-39.2381[/C][/ROW]
[ROW][C]36[/C][C]97[/C][C]138.635[/C][C]-41.6349[/C][/ROW]
[ROW][C]37[/C][C]151[/C][C]145.31[/C][C]5.69034[/C][/ROW]
[ROW][C]38[/C][C]131[/C][C]99.5961[/C][C]31.4039[/C][/ROW]
[ROW][C]39[/C][C]166[/C][C]145.397[/C][C]20.6034[/C][/ROW]
[ROW][C]40[/C][C]157[/C][C]152.454[/C][C]4.54633[/C][/ROW]
[ROW][C]41[/C][C]111[/C][C]143.832[/C][C]-32.8318[/C][/ROW]
[ROW][C]42[/C][C]145[/C][C]139.702[/C][C]5.29772[/C][/ROW]
[ROW][C]43[/C][C]162[/C][C]143.119[/C][C]18.8812[/C][/ROW]
[ROW][C]44[/C][C]163[/C][C]141.958[/C][C]21.0418[/C][/ROW]
[ROW][C]45[/C][C]59[/C][C]93.8082[/C][C]-34.8082[/C][/ROW]
[ROW][C]46[/C][C]187[/C][C]154.669[/C][C]32.3313[/C][/ROW]
[ROW][C]47[/C][C]109[/C][C]140.542[/C][C]-31.5422[/C][/ROW]
[ROW][C]48[/C][C]90[/C][C]96.9652[/C][C]-6.96524[/C][/ROW]
[ROW][C]49[/C][C]105[/C][C]156.189[/C][C]-51.1887[/C][/ROW]
[ROW][C]50[/C][C]83[/C][C]102.621[/C][C]-19.621[/C][/ROW]
[ROW][C]51[/C][C]116[/C][C]99.6707[/C][C]16.3293[/C][/ROW]
[ROW][C]52[/C][C]42[/C][C]96.3249[/C][C]-54.3249[/C][/ROW]
[ROW][C]53[/C][C]148[/C][C]136.921[/C][C]11.0791[/C][/ROW]
[ROW][C]54[/C][C]155[/C][C]103.577[/C][C]51.4231[/C][/ROW]
[ROW][C]55[/C][C]125[/C][C]142.438[/C][C]-17.4376[/C][/ROW]
[ROW][C]56[/C][C]116[/C][C]144.83[/C][C]-28.8304[/C][/ROW]
[ROW][C]57[/C][C]128[/C][C]104.989[/C][C]23.0113[/C][/ROW]
[ROW][C]58[/C][C]138[/C][C]144.313[/C][C]-6.31347[/C][/ROW]
[ROW][C]59[/C][C]49[/C][C]102.841[/C][C]-53.8408[/C][/ROW]
[ROW][C]60[/C][C]96[/C][C]108.25[/C][C]-12.2495[/C][/ROW]
[ROW][C]61[/C][C]164[/C][C]150.81[/C][C]13.1904[/C][/ROW]
[ROW][C]62[/C][C]162[/C][C]153.604[/C][C]8.39642[/C][/ROW]
[ROW][C]63[/C][C]99[/C][C]141.781[/C][C]-42.7811[/C][/ROW]
[ROW][C]64[/C][C]202[/C][C]142.192[/C][C]59.8085[/C][/ROW]
[ROW][C]65[/C][C]186[/C][C]149.752[/C][C]36.2483[/C][/ROW]
[ROW][C]66[/C][C]66[/C][C]95.8633[/C][C]-29.8633[/C][/ROW]
[ROW][C]67[/C][C]183[/C][C]144.618[/C][C]38.3825[/C][/ROW]
[ROW][C]68[/C][C]214[/C][C]137.989[/C][C]76.0114[/C][/ROW]
[ROW][C]69[/C][C]188[/C][C]142.034[/C][C]45.9664[/C][/ROW]
[ROW][C]70[/C][C]104[/C][C]105.176[/C][C]-1.17613[/C][/ROW]
[ROW][C]71[/C][C]177[/C][C]155.585[/C][C]21.4147[/C][/ROW]
[ROW][C]72[/C][C]126[/C][C]152.721[/C][C]-26.7206[/C][/ROW]
[ROW][C]73[/C][C]76[/C][C]112.275[/C][C]-36.2753[/C][/ROW]
[ROW][C]74[/C][C]99[/C][C]100.786[/C][C]-1.78602[/C][/ROW]
[ROW][C]75[/C][C]139[/C][C]151.253[/C][C]-12.253[/C][/ROW]
[ROW][C]76[/C][C]162[/C][C]159.437[/C][C]2.56265[/C][/ROW]
[ROW][C]77[/C][C]108[/C][C]106.839[/C][C]1.16142[/C][/ROW]
[ROW][C]78[/C][C]159[/C][C]149.689[/C][C]9.31058[/C][/ROW]
[ROW][C]79[/C][C]74[/C][C]101.948[/C][C]-27.9482[/C][/ROW]
[ROW][C]80[/C][C]110[/C][C]145.907[/C][C]-35.9069[/C][/ROW]
[ROW][C]81[/C][C]96[/C][C]112.47[/C][C]-16.4696[/C][/ROW]
[ROW][C]82[/C][C]116[/C][C]108.711[/C][C]7.28922[/C][/ROW]
[ROW][C]83[/C][C]87[/C][C]106.359[/C][C]-19.3588[/C][/ROW]
[ROW][C]84[/C][C]97[/C][C]95.8067[/C][C]1.19328[/C][/ROW]
[ROW][C]85[/C][C]127[/C][C]104.753[/C][C]22.2468[/C][/ROW]
[ROW][C]86[/C][C]106[/C][C]105.412[/C][C]0.588097[/C][/ROW]
[ROW][C]87[/C][C]80[/C][C]99.1513[/C][C]-19.1513[/C][/ROW]
[ROW][C]88[/C][C]74[/C][C]106.838[/C][C]-32.8384[/C][/ROW]
[ROW][C]89[/C][C]91[/C][C]110.92[/C][C]-19.9199[/C][/ROW]
[ROW][C]90[/C][C]133[/C][C]104.442[/C][C]28.5582[/C][/ROW]
[ROW][C]91[/C][C]74[/C][C]101.29[/C][C]-27.2895[/C][/ROW]
[ROW][C]92[/C][C]114[/C][C]93.6829[/C][C]20.3171[/C][/ROW]
[ROW][C]93[/C][C]140[/C][C]100.719[/C][C]39.2813[/C][/ROW]
[ROW][C]94[/C][C]95[/C][C]104.731[/C][C]-9.7313[/C][/ROW]
[ROW][C]95[/C][C]98[/C][C]98.9424[/C][C]-0.942376[/C][/ROW]
[ROW][C]96[/C][C]121[/C][C]111.395[/C][C]9.60549[/C][/ROW]
[ROW][C]97[/C][C]126[/C][C]107.829[/C][C]18.1714[/C][/ROW]
[ROW][C]98[/C][C]98[/C][C]102.938[/C][C]-4.9384[/C][/ROW]
[ROW][C]99[/C][C]95[/C][C]102.562[/C][C]-7.56233[/C][/ROW]
[ROW][C]100[/C][C]110[/C][C]97.16[/C][C]12.84[/C][/ROW]
[ROW][C]101[/C][C]70[/C][C]100.487[/C][C]-30.4868[/C][/ROW]
[ROW][C]102[/C][C]102[/C][C]105.639[/C][C]-3.639[/C][/ROW]
[ROW][C]103[/C][C]86[/C][C]103.899[/C][C]-17.8985[/C][/ROW]
[ROW][C]104[/C][C]130[/C][C]99.5926[/C][C]30.4074[/C][/ROW]
[ROW][C]105[/C][C]96[/C][C]101.727[/C][C]-5.72721[/C][/ROW]
[ROW][C]106[/C][C]102[/C][C]111.332[/C][C]-9.3317[/C][/ROW]
[ROW][C]107[/C][C]100[/C][C]105.541[/C][C]-5.54115[/C][/ROW]
[ROW][C]108[/C][C]94[/C][C]108.796[/C][C]-14.7961[/C][/ROW]
[ROW][C]109[/C][C]52[/C][C]107.825[/C][C]-55.8251[/C][/ROW]
[ROW][C]110[/C][C]98[/C][C]105.45[/C][C]-7.45031[/C][/ROW]
[ROW][C]111[/C][C]118[/C][C]110.537[/C][C]7.46339[/C][/ROW]
[ROW][C]112[/C][C]99[/C][C]95.5845[/C][C]3.41547[/C][/ROW]
[ROW][C]113[/C][C]48[/C][C]125.985[/C][C]-77.9853[/C][/ROW]
[ROW][C]114[/C][C]50[/C][C]120.925[/C][C]-70.9246[/C][/ROW]
[ROW][C]115[/C][C]150[/C][C]124.991[/C][C]25.0086[/C][/ROW]
[ROW][C]116[/C][C]154[/C][C]124.756[/C][C]29.244[/C][/ROW]
[ROW][C]117[/C][C]109[/C][C]98.7293[/C][C]10.2707[/C][/ROW]
[ROW][C]118[/C][C]68[/C][C]81.374[/C][C]-13.374[/C][/ROW]
[ROW][C]119[/C][C]194[/C][C]133.553[/C][C]60.4465[/C][/ROW]
[ROW][C]120[/C][C]158[/C][C]130.197[/C][C]27.8033[/C][/ROW]
[ROW][C]121[/C][C]159[/C][C]130.216[/C][C]28.7837[/C][/ROW]
[ROW][C]122[/C][C]67[/C][C]132.83[/C][C]-65.8301[/C][/ROW]
[ROW][C]123[/C][C]147[/C][C]128.537[/C][C]18.4629[/C][/ROW]
[ROW][C]124[/C][C]39[/C][C]128.499[/C][C]-89.4987[/C][/ROW]
[ROW][C]125[/C][C]100[/C][C]119.623[/C][C]-19.6233[/C][/ROW]
[ROW][C]126[/C][C]111[/C][C]122.25[/C][C]-11.2502[/C][/ROW]
[ROW][C]127[/C][C]138[/C][C]128.172[/C][C]9.82813[/C][/ROW]
[ROW][C]128[/C][C]101[/C][C]121.782[/C][C]-20.7817[/C][/ROW]
[ROW][C]129[/C][C]131[/C][C]90.3335[/C][C]40.6665[/C][/ROW]
[ROW][C]130[/C][C]101[/C][C]129.595[/C][C]-28.5946[/C][/ROW]
[ROW][C]131[/C][C]114[/C][C]124.683[/C][C]-10.6826[/C][/ROW]
[ROW][C]132[/C][C]165[/C][C]138.956[/C][C]26.0439[/C][/ROW]
[ROW][C]133[/C][C]114[/C][C]123.826[/C][C]-9.82614[/C][/ROW]
[ROW][C]134[/C][C]111[/C][C]118.377[/C][C]-7.37667[/C][/ROW]
[ROW][C]135[/C][C]75[/C][C]125.715[/C][C]-50.715[/C][/ROW]
[ROW][C]136[/C][C]82[/C][C]122.818[/C][C]-40.8176[/C][/ROW]
[ROW][C]137[/C][C]121[/C][C]122.701[/C][C]-1.70087[/C][/ROW]
[ROW][C]138[/C][C]32[/C][C]131.802[/C][C]-99.8017[/C][/ROW]
[ROW][C]139[/C][C]150[/C][C]135.862[/C][C]14.1375[/C][/ROW]
[ROW][C]140[/C][C]117[/C][C]128.37[/C][C]-11.3701[/C][/ROW]
[ROW][C]141[/C][C]71[/C][C]82.5852[/C][C]-11.5852[/C][/ROW]
[ROW][C]142[/C][C]165[/C][C]121.136[/C][C]43.864[/C][/ROW]
[ROW][C]143[/C][C]154[/C][C]121.935[/C][C]32.0648[/C][/ROW]
[ROW][C]144[/C][C]126[/C][C]124.825[/C][C]1.17527[/C][/ROW]
[ROW][C]145[/C][C]149[/C][C]133.408[/C][C]15.5922[/C][/ROW]
[ROW][C]146[/C][C]145[/C][C]139.693[/C][C]5.30727[/C][/ROW]
[ROW][C]147[/C][C]120[/C][C]119.69[/C][C]0.309518[/C][/ROW]
[ROW][C]148[/C][C]109[/C][C]134.624[/C][C]-25.6243[/C][/ROW]
[ROW][C]149[/C][C]132[/C][C]131.145[/C][C]0.855347[/C][/ROW]
[ROW][C]150[/C][C]172[/C][C]126.174[/C][C]45.826[/C][/ROW]
[ROW][C]151[/C][C]169[/C][C]134.395[/C][C]34.6051[/C][/ROW]
[ROW][C]152[/C][C]114[/C][C]136.297[/C][C]-22.2974[/C][/ROW]
[ROW][C]153[/C][C]156[/C][C]130.275[/C][C]25.725[/C][/ROW]
[ROW][C]154[/C][C]172[/C][C]133.745[/C][C]38.2554[/C][/ROW]
[ROW][C]155[/C][C]68[/C][C]88.4191[/C][C]-20.4191[/C][/ROW]
[ROW][C]156[/C][C]89[/C][C]83.864[/C][C]5.13599[/C][/ROW]
[ROW][C]157[/C][C]167[/C][C]130.085[/C][C]36.9151[/C][/ROW]
[ROW][C]158[/C][C]113[/C][C]135.442[/C][C]-22.4416[/C][/ROW]
[ROW][C]159[/C][C]115[/C][C]97.0951[/C][C]17.9049[/C][/ROW]
[ROW][C]160[/C][C]78[/C][C]92.7084[/C][C]-14.7084[/C][/ROW]
[ROW][C]161[/C][C]118[/C][C]97.3005[/C][C]20.6995[/C][/ROW]
[ROW][C]162[/C][C]87[/C][C]82.6154[/C][C]4.38463[/C][/ROW]
[ROW][C]163[/C][C]173[/C][C]137.148[/C][C]35.8517[/C][/ROW]
[ROW][C]164[/C][C]2[/C][C]126.977[/C][C]-124.977[/C][/ROW]
[ROW][C]165[/C][C]162[/C][C]97.6766[/C][C]64.3234[/C][/ROW]
[ROW][C]166[/C][C]49[/C][C]80.3808[/C][C]-31.3808[/C][/ROW]
[ROW][C]167[/C][C]122[/C][C]99.0181[/C][C]22.9819[/C][/ROW]
[ROW][C]168[/C][C]96[/C][C]86.7749[/C][C]9.22512[/C][/ROW]
[ROW][C]169[/C][C]100[/C][C]92.8373[/C][C]7.16268[/C][/ROW]
[ROW][C]170[/C][C]82[/C][C]88.1402[/C][C]-6.14016[/C][/ROW]
[ROW][C]171[/C][C]100[/C][C]89.4718[/C][C]10.5282[/C][/ROW]
[ROW][C]172[/C][C]115[/C][C]95.969[/C][C]19.031[/C][/ROW]
[ROW][C]173[/C][C]141[/C][C]100.134[/C][C]40.8665[/C][/ROW]
[ROW][C]174[/C][C]165[/C][C]126.327[/C][C]38.6731[/C][/ROW]
[ROW][C]175[/C][C]165[/C][C]126.327[/C][C]38.6731[/C][/ROW]
[ROW][C]176[/C][C]110[/C][C]81.0025[/C][C]28.9975[/C][/ROW]
[ROW][C]177[/C][C]118[/C][C]124.404[/C][C]-6.40377[/C][/ROW]
[ROW][C]178[/C][C]158[/C][C]134.863[/C][C]23.1366[/C][/ROW]
[ROW][C]179[/C][C]146[/C][C]89.676[/C][C]56.324[/C][/ROW]
[ROW][C]180[/C][C]49[/C][C]130.462[/C][C]-81.4623[/C][/ROW]
[ROW][C]181[/C][C]90[/C][C]96.5843[/C][C]-6.58429[/C][/ROW]
[ROW][C]182[/C][C]121[/C][C]94.9224[/C][C]26.0776[/C][/ROW]
[ROW][C]183[/C][C]155[/C][C]135.139[/C][C]19.8611[/C][/ROW]
[ROW][C]184[/C][C]104[/C][C]98.7907[/C][C]5.20928[/C][/ROW]
[ROW][C]185[/C][C]147[/C][C]89.9787[/C][C]57.0213[/C][/ROW]
[ROW][C]186[/C][C]110[/C][C]100.543[/C][C]9.45682[/C][/ROW]
[ROW][C]187[/C][C]108[/C][C]100.543[/C][C]7.45682[/C][/ROW]
[ROW][C]188[/C][C]113[/C][C]100.543[/C][C]12.4568[/C][/ROW]
[ROW][C]189[/C][C]115[/C][C]98.6935[/C][C]16.3065[/C][/ROW]
[ROW][C]190[/C][C]61[/C][C]95.724[/C][C]-34.724[/C][/ROW]
[ROW][C]191[/C][C]60[/C][C]87.9697[/C][C]-27.9697[/C][/ROW]
[ROW][C]192[/C][C]109[/C][C]75.5074[/C][C]33.4926[/C][/ROW]
[ROW][C]193[/C][C]68[/C][C]78.2839[/C][C]-10.2839[/C][/ROW]
[ROW][C]194[/C][C]111[/C][C]88.7539[/C][C]22.2461[/C][/ROW]
[ROW][C]195[/C][C]77[/C][C]90.1051[/C][C]-13.1051[/C][/ROW]
[ROW][C]196[/C][C]73[/C][C]91.4536[/C][C]-18.4536[/C][/ROW]
[ROW][C]197[/C][C]151[/C][C]141.643[/C][C]9.35706[/C][/ROW]
[ROW][C]198[/C][C]89[/C][C]85.6822[/C][C]3.31778[/C][/ROW]
[ROW][C]199[/C][C]78[/C][C]87.6207[/C][C]-9.62075[/C][/ROW]
[ROW][C]200[/C][C]110[/C][C]91.2718[/C][C]18.7282[/C][/ROW]
[ROW][C]201[/C][C]220[/C][C]130.216[/C][C]89.7837[/C][/ROW]
[ROW][C]202[/C][C]65[/C][C]88.6847[/C][C]-23.6847[/C][/ROW]
[ROW][C]203[/C][C]141[/C][C]127.995[/C][C]13.0052[/C][/ROW]
[ROW][C]204[/C][C]117[/C][C]95.2639[/C][C]21.7361[/C][/ROW]
[ROW][C]205[/C][C]122[/C][C]125.676[/C][C]-3.67581[/C][/ROW]
[ROW][C]206[/C][C]63[/C][C]91.9609[/C][C]-28.9609[/C][/ROW]
[ROW][C]207[/C][C]44[/C][C]120.993[/C][C]-76.9933[/C][/ROW]
[ROW][C]208[/C][C]52[/C][C]84.6912[/C][C]-32.6912[/C][/ROW]
[ROW][C]209[/C][C]131[/C][C]81.6246[/C][C]49.3754[/C][/ROW]
[ROW][C]210[/C][C]101[/C][C]83.6585[/C][C]17.3415[/C][/ROW]
[ROW][C]211[/C][C]42[/C][C]91.6868[/C][C]-49.6868[/C][/ROW]
[ROW][C]212[/C][C]152[/C][C]126.538[/C][C]25.4617[/C][/ROW]
[ROW][C]213[/C][C]107[/C][C]128.829[/C][C]-21.8287[/C][/ROW]
[ROW][C]214[/C][C]77[/C][C]89.7843[/C][C]-12.7843[/C][/ROW]
[ROW][C]215[/C][C]154[/C][C]139.342[/C][C]14.6583[/C][/ROW]
[ROW][C]216[/C][C]103[/C][C]124.787[/C][C]-21.7871[/C][/ROW]
[ROW][C]217[/C][C]96[/C][C]86.9262[/C][C]9.07381[/C][/ROW]
[ROW][C]218[/C][C]175[/C][C]126.115[/C][C]48.8847[/C][/ROW]
[ROW][C]219[/C][C]57[/C][C]90.9381[/C][C]-33.9381[/C][/ROW]
[ROW][C]220[/C][C]112[/C][C]101.201[/C][C]10.7993[/C][/ROW]
[ROW][C]221[/C][C]143[/C][C]129.771[/C][C]13.2289[/C][/ROW]
[ROW][C]222[/C][C]49[/C][C]82.8785[/C][C]-33.8785[/C][/ROW]
[ROW][C]223[/C][C]110[/C][C]133.432[/C][C]-23.4321[/C][/ROW]
[ROW][C]224[/C][C]131[/C][C]123.619[/C][C]7.38082[/C][/ROW]
[ROW][C]225[/C][C]167[/C][C]127.48[/C][C]39.5195[/C][/ROW]
[ROW][C]226[/C][C]56[/C][C]97.808[/C][C]-41.808[/C][/ROW]
[ROW][C]227[/C][C]137[/C][C]127.56[/C][C]9.4401[/C][/ROW]
[ROW][C]228[/C][C]86[/C][C]84.2642[/C][C]1.73577[/C][/ROW]
[ROW][C]229[/C][C]121[/C][C]132.369[/C][C]-11.3687[/C][/ROW]
[ROW][C]230[/C][C]149[/C][C]134.59[/C][C]14.4103[/C][/ROW]
[ROW][C]231[/C][C]168[/C][C]131.207[/C][C]36.7927[/C][/ROW]
[ROW][C]232[/C][C]140[/C][C]128.558[/C][C]11.4415[/C][/ROW]
[ROW][C]233[/C][C]88[/C][C]84.4171[/C][C]3.58295[/C][/ROW]
[ROW][C]234[/C][C]168[/C][C]125.749[/C][C]42.2508[/C][/ROW]
[ROW][C]235[/C][C]94[/C][C]123.785[/C][C]-29.7848[/C][/ROW]
[ROW][C]236[/C][C]51[/C][C]130.348[/C][C]-79.3484[/C][/ROW]
[ROW][C]237[/C][C]48[/C][C]95.2454[/C][C]-47.2454[/C][/ROW]
[ROW][C]238[/C][C]145[/C][C]122.999[/C][C]22.0011[/C][/ROW]
[ROW][C]239[/C][C]66[/C][C]121.935[/C][C]-55.9352[/C][/ROW]
[ROW][C]240[/C][C]85[/C][C]86.4949[/C][C]-1.49485[/C][/ROW]
[ROW][C]241[/C][C]109[/C][C]134.024[/C][C]-25.0235[/C][/ROW]
[ROW][C]242[/C][C]63[/C][C]91.1147[/C][C]-28.1147[/C][/ROW]
[ROW][C]243[/C][C]102[/C][C]86.7596[/C][C]15.2404[/C][/ROW]
[ROW][C]244[/C][C]162[/C][C]97.6766[/C][C]64.3234[/C][/ROW]
[ROW][C]245[/C][C]86[/C][C]87.8963[/C][C]-1.89631[/C][/ROW]
[ROW][C]246[/C][C]114[/C][C]84.2076[/C][C]29.7924[/C][/ROW]
[ROW][C]247[/C][C]164[/C][C]132.604[/C][C]31.3961[/C][/ROW]
[ROW][C]248[/C][C]119[/C][C]132.81[/C][C]-13.8095[/C][/ROW]
[ROW][C]249[/C][C]126[/C][C]133.755[/C][C]-7.75536[/C][/ROW]
[ROW][C]250[/C][C]132[/C][C]121.337[/C][C]10.6631[/C][/ROW]
[ROW][C]251[/C][C]142[/C][C]129.959[/C][C]12.0411[/C][/ROW]
[ROW][C]252[/C][C]83[/C][C]137.916[/C][C]-54.9164[/C][/ROW]
[ROW][C]253[/C][C]94[/C][C]88.3938[/C][C]5.60625[/C][/ROW]
[ROW][C]254[/C][C]81[/C][C]92.4533[/C][C]-11.4533[/C][/ROW]
[ROW][C]255[/C][C]166[/C][C]129.879[/C][C]36.1205[/C][/ROW]
[ROW][C]256[/C][C]110[/C][C]95.7984[/C][C]14.2016[/C][/ROW]
[ROW][C]257[/C][C]64[/C][C]85.5212[/C][C]-21.5212[/C][/ROW]
[ROW][C]258[/C][C]93[/C][C]140.59[/C][C]-47.5903[/C][/ROW]
[ROW][C]259[/C][C]104[/C][C]92.1963[/C][C]11.8037[/C][/ROW]
[ROW][C]260[/C][C]105[/C][C]79.9929[/C][C]25.0071[/C][/ROW]
[ROW][C]261[/C][C]49[/C][C]80.3808[/C][C]-31.3808[/C][/ROW]
[ROW][C]262[/C][C]88[/C][C]97.6481[/C][C]-9.64807[/C][/ROW]
[ROW][C]263[/C][C]95[/C][C]87.2554[/C][C]7.74461[/C][/ROW]
[ROW][C]264[/C][C]102[/C][C]86.7596[/C][C]15.2404[/C][/ROW]
[ROW][C]265[/C][C]99[/C][C]90.8587[/C][C]8.14127[/C][/ROW]
[ROW][C]266[/C][C]63[/C][C]80.6636[/C][C]-17.6636[/C][/ROW]
[ROW][C]267[/C][C]76[/C][C]99.8619[/C][C]-23.8619[/C][/ROW]
[ROW][C]268[/C][C]109[/C][C]86.8889[/C][C]22.1111[/C][/ROW]
[ROW][C]269[/C][C]117[/C][C]92.5723[/C][C]24.4277[/C][/ROW]
[ROW][C]270[/C][C]57[/C][C]92.2637[/C][C]-35.2637[/C][/ROW]
[ROW][C]271[/C][C]120[/C][C]94.5641[/C][C]25.4359[/C][/ROW]
[ROW][C]272[/C][C]73[/C][C]84.1429[/C][C]-11.1429[/C][/ROW]
[ROW][C]273[/C][C]91[/C][C]81.9829[/C][C]9.01713[/C][/ROW]
[ROW][C]274[/C][C]108[/C][C]95.3921[/C][C]12.6079[/C][/ROW]
[ROW][C]275[/C][C]105[/C][C]85.81[/C][C]19.19[/C][/ROW]
[ROW][C]276[/C][C]117[/C][C]139.175[/C][C]-22.1745[/C][/ROW]
[ROW][C]277[/C][C]119[/C][C]97.808[/C][C]21.192[/C][/ROW]
[ROW][C]278[/C][C]31[/C][C]98.4088[/C][C]-67.4088[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=274298&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=274298&T=4

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


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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1149156.347-7.34659
2139142.834-3.83393
3148147.3990.601079
4158147.82910.1708
5128147.384-19.384
6224147.00876.9922
7159153.4695.5307
8105145.664-40.6643
9159151.1087.89237
10167149.7117.2903
11165152.32412.6761
12159139.35419.6465
13119141.861-22.8607
14176151.78524.2146
1554156.787-102.787
1691113.147-22.1468
17163143.48419.5158
18124151.513-27.5133
19137104.17732.8225
20121144.624-23.6236
21153143.1649.83643
22148143.3934.60699
23221150.45770.5428
24188137.77950.2208
25149149.61-0.610172
26244134.487109.513
27148109.61638.3844
2892109.133-17.1329
29150140.1099.89147
30153144.0658.93507
3194144.609-50.6089
32156149.7526.24831
33132147.458-15.4578
34161143.59517.4048
35105144.238-39.2381
3697138.635-41.6349
37151145.315.69034
3813199.596131.4039
39166145.39720.6034
40157152.4544.54633
41111143.832-32.8318
42145139.7025.29772
43162143.11918.8812
44163141.95821.0418
455993.8082-34.8082
46187154.66932.3313
47109140.542-31.5422
489096.9652-6.96524
49105156.189-51.1887
5083102.621-19.621
5111699.670716.3293
524296.3249-54.3249
53148136.92111.0791
54155103.57751.4231
55125142.438-17.4376
56116144.83-28.8304
57128104.98923.0113
58138144.313-6.31347
5949102.841-53.8408
6096108.25-12.2495
61164150.8113.1904
62162153.6048.39642
6399141.781-42.7811
64202142.19259.8085
65186149.75236.2483
666695.8633-29.8633
67183144.61838.3825
68214137.98976.0114
69188142.03445.9664
70104105.176-1.17613
71177155.58521.4147
72126152.721-26.7206
7376112.275-36.2753
7499100.786-1.78602
75139151.253-12.253
76162159.4372.56265
77108106.8391.16142
78159149.6899.31058
7974101.948-27.9482
80110145.907-35.9069
8196112.47-16.4696
82116108.7117.28922
8387106.359-19.3588
849795.80671.19328
85127104.75322.2468
86106105.4120.588097
878099.1513-19.1513
8874106.838-32.8384
8991110.92-19.9199
90133104.44228.5582
9174101.29-27.2895
9211493.682920.3171
93140100.71939.2813
9495104.731-9.7313
959898.9424-0.942376
96121111.3959.60549
97126107.82918.1714
9898102.938-4.9384
9995102.562-7.56233
10011097.1612.84
10170100.487-30.4868
102102105.639-3.639
10386103.899-17.8985
10413099.592630.4074
10596101.727-5.72721
106102111.332-9.3317
107100105.541-5.54115
10894108.796-14.7961
10952107.825-55.8251
11098105.45-7.45031
111118110.5377.46339
1129995.58453.41547
11348125.985-77.9853
11450120.925-70.9246
115150124.99125.0086
116154124.75629.244
11710998.729310.2707
1186881.374-13.374
119194133.55360.4465
120158130.19727.8033
121159130.21628.7837
12267132.83-65.8301
123147128.53718.4629
12439128.499-89.4987
125100119.623-19.6233
126111122.25-11.2502
127138128.1729.82813
128101121.782-20.7817
12913190.333540.6665
130101129.595-28.5946
131114124.683-10.6826
132165138.95626.0439
133114123.826-9.82614
134111118.377-7.37667
13575125.715-50.715
13682122.818-40.8176
137121122.701-1.70087
13832131.802-99.8017
139150135.86214.1375
140117128.37-11.3701
1417182.5852-11.5852
142165121.13643.864
143154121.93532.0648
144126124.8251.17527
145149133.40815.5922
146145139.6935.30727
147120119.690.309518
148109134.624-25.6243
149132131.1450.855347
150172126.17445.826
151169134.39534.6051
152114136.297-22.2974
153156130.27525.725
154172133.74538.2554
1556888.4191-20.4191
1568983.8645.13599
157167130.08536.9151
158113135.442-22.4416
15911597.095117.9049
1607892.7084-14.7084
16111897.300520.6995
1628782.61544.38463
163173137.14835.8517
1642126.977-124.977
16516297.676664.3234
1664980.3808-31.3808
16712299.018122.9819
1689686.77499.22512
16910092.83737.16268
1708288.1402-6.14016
17110089.471810.5282
17211595.96919.031
173141100.13440.8665
174165126.32738.6731
175165126.32738.6731
17611081.002528.9975
177118124.404-6.40377
178158134.86323.1366
17914689.67656.324
18049130.462-81.4623
1819096.5843-6.58429
18212194.922426.0776
183155135.13919.8611
18410498.79075.20928
18514789.978757.0213
186110100.5439.45682
187108100.5437.45682
188113100.54312.4568
18911598.693516.3065
1906195.724-34.724
1916087.9697-27.9697
19210975.507433.4926
1936878.2839-10.2839
19411188.753922.2461
1957790.1051-13.1051
1967391.4536-18.4536
197151141.6439.35706
1988985.68223.31778
1997887.6207-9.62075
20011091.271818.7282
201220130.21689.7837
2026588.6847-23.6847
203141127.99513.0052
20411795.263921.7361
205122125.676-3.67581
2066391.9609-28.9609
20744120.993-76.9933
2085284.6912-32.6912
20913181.624649.3754
21010183.658517.3415
2114291.6868-49.6868
212152126.53825.4617
213107128.829-21.8287
2147789.7843-12.7843
215154139.34214.6583
216103124.787-21.7871
2179686.92629.07381
218175126.11548.8847
2195790.9381-33.9381
220112101.20110.7993
221143129.77113.2289
2224982.8785-33.8785
223110133.432-23.4321
224131123.6197.38082
225167127.4839.5195
2265697.808-41.808
227137127.569.4401
2288684.26421.73577
229121132.369-11.3687
230149134.5914.4103
231168131.20736.7927
232140128.55811.4415
2338884.41713.58295
234168125.74942.2508
23594123.785-29.7848
23651130.348-79.3484
2374895.2454-47.2454
238145122.99922.0011
23966121.935-55.9352
2408586.4949-1.49485
241109134.024-25.0235
2426391.1147-28.1147
24310286.759615.2404
24416297.676664.3234
2458687.8963-1.89631
24611484.207629.7924
247164132.60431.3961
248119132.81-13.8095
249126133.755-7.75536
250132121.33710.6631
251142129.95912.0411
25283137.916-54.9164
2539488.39385.60625
2548192.4533-11.4533
255166129.87936.1205
25611095.798414.2016
2576485.5212-21.5212
25893140.59-47.5903
25910492.196311.8037
26010579.992925.0071
2614980.3808-31.3808
2628897.6481-9.64807
2639587.25547.74461
26410286.759615.2404
2659990.85878.14127
2666380.6636-17.6636
2677699.8619-23.8619
26810986.888922.1111
26911792.572324.4277
2705792.2637-35.2637
27112094.564125.4359
2727384.1429-11.1429
2739181.98299.01713
27410895.392112.6079
27510585.8119.19
276117139.175-22.1745
27711997.80821.192
2783198.4088-67.4088






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
130.1907940.3815880.809206
140.08714780.1742960.912852
150.9513580.09728390.0486419
160.9157690.1684620.0842308
170.8781420.2437160.121858
180.8376550.324690.162345
190.8315920.3368160.168408
200.8055940.3888120.194406
210.7969550.4060890.203045
220.733720.532560.26628
230.9035150.1929710.0964853
240.8848040.2303930.115196
250.863980.272040.13602
260.8654120.2691750.134588
270.8787270.2425450.121273
280.8539110.2921780.146089
290.8267550.346490.173245
300.7825970.4348060.217403
310.9107520.1784970.0892485
320.9041070.1917860.0958932
330.8849630.2300740.115037
340.8566660.2866690.143334
350.8903390.2193220.109661
360.8974940.2050110.102506
370.8737960.2524080.126204
380.8474480.3051040.152552
390.8289170.3421660.171083
400.8257820.3484360.174218
410.822160.355680.17784
420.7865580.4268840.213442
430.7523460.4953090.247654
440.7276950.544610.272305
450.8003360.3993290.199664
460.8452760.3094480.154724
470.8852730.2294540.114727
480.8660650.2678710.133935
490.8964240.2071520.103576
500.8789950.2420090.121005
510.859140.281720.14086
520.9056730.1886540.0943271
530.8854540.2290920.114546
540.9080350.1839310.0919653
550.9005160.1989680.0994839
560.8910230.2179540.108977
570.8883630.2232730.111637
580.8731340.2537320.126866
590.9001210.1997570.0998786
600.8810920.2378150.118908
610.8623120.2753760.137688
620.8421520.3156960.157848
630.8397970.3204070.160203
640.8730390.2539230.126961
650.8789490.2421010.121051
660.8720410.2559180.127959
670.8838560.2322880.116144
680.930650.1387010.0693504
690.9434830.1130350.0565173
700.9323690.1352610.0676307
710.9288070.1423860.0711929
720.9205140.1589720.0794862
730.9136910.1726190.0863094
740.8968570.2062860.103143
750.8798970.2402060.120103
760.8596070.2807870.140393
770.8370230.3259540.162977
780.8156520.3686960.184348
790.7965520.4068960.203448
800.8001760.3996480.199824
810.773910.4521810.22609
820.749740.500520.25026
830.7215660.5568670.278434
840.6884640.6230720.311536
850.6883570.6232860.311643
860.6542060.6915870.345794
870.6339790.7320410.366021
880.6155240.7689530.384476
890.5838090.8323810.416191
900.593130.8137390.40687
910.5730210.8539590.426979
920.5505350.898930.449465
930.5626710.8746580.437329
940.5266820.9466350.473318
950.4918380.9836760.508162
960.4621050.9242110.537895
970.4422030.8844070.557797
980.4056720.8113440.594328
990.3706310.7412620.629369
1000.3446710.6893430.655329
1010.335580.6711610.66442
1020.3044830.6089670.695517
1030.2858980.5717970.714102
1040.2856380.5712760.714362
1050.2611370.5222740.738863
1060.2321880.4643760.767812
1070.2056050.4112110.794395
1080.1812370.3624750.818763
1090.2095310.4190610.790469
1100.1851170.3702340.814883
1110.1676530.3353060.832347
1120.1458180.2916360.854182
1130.1635140.3270290.836486
1140.1831240.3662480.816876
1150.2669720.5339450.733028
1160.3175420.6350850.682458
1170.3388210.6776410.661179
1180.3075420.6150840.692458
1190.398860.797720.60114
1200.3997790.7995580.600221
1210.3896210.7792430.610379
1220.486990.973980.51301
1230.4650120.9300240.534988
1240.6672240.6655520.332776
1250.6417530.7164950.358247
1260.6095130.7809730.390487
1270.5832240.8335520.416776
1280.5561510.8876990.443849
1290.5923280.8153440.407672
1300.5764760.8470480.423524
1310.5440840.9118320.455916
1320.5399260.9201490.460074
1330.5059960.9880080.494004
1340.4735840.9471670.526416
1350.5083560.9832880.491644
1360.5176940.9646120.482306
1370.4852440.9704870.514756
1380.7186190.5627620.281381
1390.7010550.5978890.298945
1400.6720060.6559870.327994
1410.645870.7082590.35413
1420.6770540.6458910.322946
1430.6813760.6372480.318624
1440.6500190.6999620.349981
1450.6293790.7412430.370621
1460.5998190.8003630.400181
1470.565770.8684590.43423
1480.5494620.9010770.450538
1490.5166490.9667010.483351
1500.5517140.8965710.448286
1510.5619770.8760460.438023
1520.5389320.9221360.461068
1530.5302340.9395310.469766
1540.5502430.8995140.449757
1550.5265750.946850.473425
1560.4947660.9895320.505234
1570.5063720.9872560.493628
1580.4865830.9731650.513417
1590.4666320.9332650.533368
1600.4492840.8985670.550716
1610.4303780.8607560.569622
1620.396640.793280.60336
1630.4000030.8000060.599997
1640.832870.3342590.16713
1650.878830.242340.12117
1660.8795340.2409310.120466
1670.8698260.2603480.130174
1680.8517640.2964730.148236
1690.8304590.3390820.169541
1700.8108090.3783830.189191
1710.7870870.4258260.212913
1720.7706440.4587120.229356
1730.7830710.4338580.216929
1740.7872580.4254830.212742
1750.7930710.4138570.206929
1760.7908810.4182370.209119
1770.7639230.4721530.236077
1780.7603940.4792110.239606
1790.826680.346640.17332
1800.9318270.1363460.0681731
1810.9190970.1618050.0809027
1820.9166180.1667630.0833817
1830.9044650.1910710.0955354
1840.8917080.2165840.108292
1850.9367870.1264250.0632125
1860.9269190.1461620.0730808
1870.9156670.1686660.0843331
1880.9063470.1873060.0936532
1890.8959250.2081490.104075
1900.8883880.2232230.111612
1910.8821450.2357090.117855
1920.8732010.2535970.126799
1930.8553210.2893570.144679
1940.8450110.3099770.154989
1950.8378790.3242420.162121
1960.8200450.3599110.179955
1970.7945660.4108690.205434
1980.764990.4700190.23501
1990.7361820.5276360.263818
2000.7087830.5824340.291217
2010.9263750.1472490.0736247
2020.9180860.1638270.0819136
2030.9024620.1950750.0975377
2040.9003860.1992280.0996142
2050.8813390.2373220.118661
2060.8761020.2477960.123898
2070.936270.127460.06373
2080.9380430.1239150.0619573
2090.9432680.1134640.056732
2100.9312830.1374330.0687165
2110.9403950.119210.0596048
2120.9381690.1236620.0618312
2130.9272040.1455910.0727957
2140.9114850.177030.0885151
2150.9007430.1985130.0992567
2160.883190.2336190.11681
2170.8607220.2785560.139278
2180.9067480.1865040.093252
2190.8953440.2093110.104656
2200.8775630.2448740.122437
2210.8551420.2897160.144858
2220.922690.1546210.0773104
2230.9117990.1764020.0882011
2240.9046470.1907050.0953527
2250.8894340.2211320.110566
2260.8988610.2022790.101139
2270.8773830.2452340.122617
2280.8513640.2972720.148636
2290.8231460.3537090.176854
2300.7950740.4098520.204926
2310.8732070.2535860.126793
2320.8520320.2959350.147968
2330.8196560.3606880.180344
2340.8717970.2564050.128203
2350.8467410.3065170.153259
2360.9120620.1758760.0879378
2370.9428330.1143340.0571672
2380.9353270.1293470.0646734
2390.9440950.111810.0559051
2400.9265020.1469960.073498
2410.9191330.1617340.0808672
2420.9189480.1621030.0810516
2430.8971520.2056970.102848
2440.976430.04713950.0235697
2450.9727020.05459550.0272978
2460.9619450.07610940.0380547
2470.9587830.08243340.0412167
2480.9408130.1183740.059187
2490.9181460.1637070.0818535
2500.8869910.2260180.113009
2510.8505220.2989550.149478
2520.8511150.297770.148885
2530.803350.3932990.19665
2540.7488280.5023450.251172
2550.9088540.1822920.0911462
2560.866770.266460.13323
2570.8288780.3422430.171122
2580.7648010.4703990.235199
2590.6802850.639430.319715
2600.5892480.8215050.410752
2610.578660.8426810.42134
2620.5028270.9943450.497173
2630.5380950.9238090.461905
2640.3959010.7918030.604099
2650.2533340.5066670.746666

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
13 & 0.190794 & 0.381588 & 0.809206 \tabularnewline
14 & 0.0871478 & 0.174296 & 0.912852 \tabularnewline
15 & 0.951358 & 0.0972839 & 0.0486419 \tabularnewline
16 & 0.915769 & 0.168462 & 0.0842308 \tabularnewline
17 & 0.878142 & 0.243716 & 0.121858 \tabularnewline
18 & 0.837655 & 0.32469 & 0.162345 \tabularnewline
19 & 0.831592 & 0.336816 & 0.168408 \tabularnewline
20 & 0.805594 & 0.388812 & 0.194406 \tabularnewline
21 & 0.796955 & 0.406089 & 0.203045 \tabularnewline
22 & 0.73372 & 0.53256 & 0.26628 \tabularnewline
23 & 0.903515 & 0.192971 & 0.0964853 \tabularnewline
24 & 0.884804 & 0.230393 & 0.115196 \tabularnewline
25 & 0.86398 & 0.27204 & 0.13602 \tabularnewline
26 & 0.865412 & 0.269175 & 0.134588 \tabularnewline
27 & 0.878727 & 0.242545 & 0.121273 \tabularnewline
28 & 0.853911 & 0.292178 & 0.146089 \tabularnewline
29 & 0.826755 & 0.34649 & 0.173245 \tabularnewline
30 & 0.782597 & 0.434806 & 0.217403 \tabularnewline
31 & 0.910752 & 0.178497 & 0.0892485 \tabularnewline
32 & 0.904107 & 0.191786 & 0.0958932 \tabularnewline
33 & 0.884963 & 0.230074 & 0.115037 \tabularnewline
34 & 0.856666 & 0.286669 & 0.143334 \tabularnewline
35 & 0.890339 & 0.219322 & 0.109661 \tabularnewline
36 & 0.897494 & 0.205011 & 0.102506 \tabularnewline
37 & 0.873796 & 0.252408 & 0.126204 \tabularnewline
38 & 0.847448 & 0.305104 & 0.152552 \tabularnewline
39 & 0.828917 & 0.342166 & 0.171083 \tabularnewline
40 & 0.825782 & 0.348436 & 0.174218 \tabularnewline
41 & 0.82216 & 0.35568 & 0.17784 \tabularnewline
42 & 0.786558 & 0.426884 & 0.213442 \tabularnewline
43 & 0.752346 & 0.495309 & 0.247654 \tabularnewline
44 & 0.727695 & 0.54461 & 0.272305 \tabularnewline
45 & 0.800336 & 0.399329 & 0.199664 \tabularnewline
46 & 0.845276 & 0.309448 & 0.154724 \tabularnewline
47 & 0.885273 & 0.229454 & 0.114727 \tabularnewline
48 & 0.866065 & 0.267871 & 0.133935 \tabularnewline
49 & 0.896424 & 0.207152 & 0.103576 \tabularnewline
50 & 0.878995 & 0.242009 & 0.121005 \tabularnewline
51 & 0.85914 & 0.28172 & 0.14086 \tabularnewline
52 & 0.905673 & 0.188654 & 0.0943271 \tabularnewline
53 & 0.885454 & 0.229092 & 0.114546 \tabularnewline
54 & 0.908035 & 0.183931 & 0.0919653 \tabularnewline
55 & 0.900516 & 0.198968 & 0.0994839 \tabularnewline
56 & 0.891023 & 0.217954 & 0.108977 \tabularnewline
57 & 0.888363 & 0.223273 & 0.111637 \tabularnewline
58 & 0.873134 & 0.253732 & 0.126866 \tabularnewline
59 & 0.900121 & 0.199757 & 0.0998786 \tabularnewline
60 & 0.881092 & 0.237815 & 0.118908 \tabularnewline
61 & 0.862312 & 0.275376 & 0.137688 \tabularnewline
62 & 0.842152 & 0.315696 & 0.157848 \tabularnewline
63 & 0.839797 & 0.320407 & 0.160203 \tabularnewline
64 & 0.873039 & 0.253923 & 0.126961 \tabularnewline
65 & 0.878949 & 0.242101 & 0.121051 \tabularnewline
66 & 0.872041 & 0.255918 & 0.127959 \tabularnewline
67 & 0.883856 & 0.232288 & 0.116144 \tabularnewline
68 & 0.93065 & 0.138701 & 0.0693504 \tabularnewline
69 & 0.943483 & 0.113035 & 0.0565173 \tabularnewline
70 & 0.932369 & 0.135261 & 0.0676307 \tabularnewline
71 & 0.928807 & 0.142386 & 0.0711929 \tabularnewline
72 & 0.920514 & 0.158972 & 0.0794862 \tabularnewline
73 & 0.913691 & 0.172619 & 0.0863094 \tabularnewline
74 & 0.896857 & 0.206286 & 0.103143 \tabularnewline
75 & 0.879897 & 0.240206 & 0.120103 \tabularnewline
76 & 0.859607 & 0.280787 & 0.140393 \tabularnewline
77 & 0.837023 & 0.325954 & 0.162977 \tabularnewline
78 & 0.815652 & 0.368696 & 0.184348 \tabularnewline
79 & 0.796552 & 0.406896 & 0.203448 \tabularnewline
80 & 0.800176 & 0.399648 & 0.199824 \tabularnewline
81 & 0.77391 & 0.452181 & 0.22609 \tabularnewline
82 & 0.74974 & 0.50052 & 0.25026 \tabularnewline
83 & 0.721566 & 0.556867 & 0.278434 \tabularnewline
84 & 0.688464 & 0.623072 & 0.311536 \tabularnewline
85 & 0.688357 & 0.623286 & 0.311643 \tabularnewline
86 & 0.654206 & 0.691587 & 0.345794 \tabularnewline
87 & 0.633979 & 0.732041 & 0.366021 \tabularnewline
88 & 0.615524 & 0.768953 & 0.384476 \tabularnewline
89 & 0.583809 & 0.832381 & 0.416191 \tabularnewline
90 & 0.59313 & 0.813739 & 0.40687 \tabularnewline
91 & 0.573021 & 0.853959 & 0.426979 \tabularnewline
92 & 0.550535 & 0.89893 & 0.449465 \tabularnewline
93 & 0.562671 & 0.874658 & 0.437329 \tabularnewline
94 & 0.526682 & 0.946635 & 0.473318 \tabularnewline
95 & 0.491838 & 0.983676 & 0.508162 \tabularnewline
96 & 0.462105 & 0.924211 & 0.537895 \tabularnewline
97 & 0.442203 & 0.884407 & 0.557797 \tabularnewline
98 & 0.405672 & 0.811344 & 0.594328 \tabularnewline
99 & 0.370631 & 0.741262 & 0.629369 \tabularnewline
100 & 0.344671 & 0.689343 & 0.655329 \tabularnewline
101 & 0.33558 & 0.671161 & 0.66442 \tabularnewline
102 & 0.304483 & 0.608967 & 0.695517 \tabularnewline
103 & 0.285898 & 0.571797 & 0.714102 \tabularnewline
104 & 0.285638 & 0.571276 & 0.714362 \tabularnewline
105 & 0.261137 & 0.522274 & 0.738863 \tabularnewline
106 & 0.232188 & 0.464376 & 0.767812 \tabularnewline
107 & 0.205605 & 0.411211 & 0.794395 \tabularnewline
108 & 0.181237 & 0.362475 & 0.818763 \tabularnewline
109 & 0.209531 & 0.419061 & 0.790469 \tabularnewline
110 & 0.185117 & 0.370234 & 0.814883 \tabularnewline
111 & 0.167653 & 0.335306 & 0.832347 \tabularnewline
112 & 0.145818 & 0.291636 & 0.854182 \tabularnewline
113 & 0.163514 & 0.327029 & 0.836486 \tabularnewline
114 & 0.183124 & 0.366248 & 0.816876 \tabularnewline
115 & 0.266972 & 0.533945 & 0.733028 \tabularnewline
116 & 0.317542 & 0.635085 & 0.682458 \tabularnewline
117 & 0.338821 & 0.677641 & 0.661179 \tabularnewline
118 & 0.307542 & 0.615084 & 0.692458 \tabularnewline
119 & 0.39886 & 0.79772 & 0.60114 \tabularnewline
120 & 0.399779 & 0.799558 & 0.600221 \tabularnewline
121 & 0.389621 & 0.779243 & 0.610379 \tabularnewline
122 & 0.48699 & 0.97398 & 0.51301 \tabularnewline
123 & 0.465012 & 0.930024 & 0.534988 \tabularnewline
124 & 0.667224 & 0.665552 & 0.332776 \tabularnewline
125 & 0.641753 & 0.716495 & 0.358247 \tabularnewline
126 & 0.609513 & 0.780973 & 0.390487 \tabularnewline
127 & 0.583224 & 0.833552 & 0.416776 \tabularnewline
128 & 0.556151 & 0.887699 & 0.443849 \tabularnewline
129 & 0.592328 & 0.815344 & 0.407672 \tabularnewline
130 & 0.576476 & 0.847048 & 0.423524 \tabularnewline
131 & 0.544084 & 0.911832 & 0.455916 \tabularnewline
132 & 0.539926 & 0.920149 & 0.460074 \tabularnewline
133 & 0.505996 & 0.988008 & 0.494004 \tabularnewline
134 & 0.473584 & 0.947167 & 0.526416 \tabularnewline
135 & 0.508356 & 0.983288 & 0.491644 \tabularnewline
136 & 0.517694 & 0.964612 & 0.482306 \tabularnewline
137 & 0.485244 & 0.970487 & 0.514756 \tabularnewline
138 & 0.718619 & 0.562762 & 0.281381 \tabularnewline
139 & 0.701055 & 0.597889 & 0.298945 \tabularnewline
140 & 0.672006 & 0.655987 & 0.327994 \tabularnewline
141 & 0.64587 & 0.708259 & 0.35413 \tabularnewline
142 & 0.677054 & 0.645891 & 0.322946 \tabularnewline
143 & 0.681376 & 0.637248 & 0.318624 \tabularnewline
144 & 0.650019 & 0.699962 & 0.349981 \tabularnewline
145 & 0.629379 & 0.741243 & 0.370621 \tabularnewline
146 & 0.599819 & 0.800363 & 0.400181 \tabularnewline
147 & 0.56577 & 0.868459 & 0.43423 \tabularnewline
148 & 0.549462 & 0.901077 & 0.450538 \tabularnewline
149 & 0.516649 & 0.966701 & 0.483351 \tabularnewline
150 & 0.551714 & 0.896571 & 0.448286 \tabularnewline
151 & 0.561977 & 0.876046 & 0.438023 \tabularnewline
152 & 0.538932 & 0.922136 & 0.461068 \tabularnewline
153 & 0.530234 & 0.939531 & 0.469766 \tabularnewline
154 & 0.550243 & 0.899514 & 0.449757 \tabularnewline
155 & 0.526575 & 0.94685 & 0.473425 \tabularnewline
156 & 0.494766 & 0.989532 & 0.505234 \tabularnewline
157 & 0.506372 & 0.987256 & 0.493628 \tabularnewline
158 & 0.486583 & 0.973165 & 0.513417 \tabularnewline
159 & 0.466632 & 0.933265 & 0.533368 \tabularnewline
160 & 0.449284 & 0.898567 & 0.550716 \tabularnewline
161 & 0.430378 & 0.860756 & 0.569622 \tabularnewline
162 & 0.39664 & 0.79328 & 0.60336 \tabularnewline
163 & 0.400003 & 0.800006 & 0.599997 \tabularnewline
164 & 0.83287 & 0.334259 & 0.16713 \tabularnewline
165 & 0.87883 & 0.24234 & 0.12117 \tabularnewline
166 & 0.879534 & 0.240931 & 0.120466 \tabularnewline
167 & 0.869826 & 0.260348 & 0.130174 \tabularnewline
168 & 0.851764 & 0.296473 & 0.148236 \tabularnewline
169 & 0.830459 & 0.339082 & 0.169541 \tabularnewline
170 & 0.810809 & 0.378383 & 0.189191 \tabularnewline
171 & 0.787087 & 0.425826 & 0.212913 \tabularnewline
172 & 0.770644 & 0.458712 & 0.229356 \tabularnewline
173 & 0.783071 & 0.433858 & 0.216929 \tabularnewline
174 & 0.787258 & 0.425483 & 0.212742 \tabularnewline
175 & 0.793071 & 0.413857 & 0.206929 \tabularnewline
176 & 0.790881 & 0.418237 & 0.209119 \tabularnewline
177 & 0.763923 & 0.472153 & 0.236077 \tabularnewline
178 & 0.760394 & 0.479211 & 0.239606 \tabularnewline
179 & 0.82668 & 0.34664 & 0.17332 \tabularnewline
180 & 0.931827 & 0.136346 & 0.0681731 \tabularnewline
181 & 0.919097 & 0.161805 & 0.0809027 \tabularnewline
182 & 0.916618 & 0.166763 & 0.0833817 \tabularnewline
183 & 0.904465 & 0.191071 & 0.0955354 \tabularnewline
184 & 0.891708 & 0.216584 & 0.108292 \tabularnewline
185 & 0.936787 & 0.126425 & 0.0632125 \tabularnewline
186 & 0.926919 & 0.146162 & 0.0730808 \tabularnewline
187 & 0.915667 & 0.168666 & 0.0843331 \tabularnewline
188 & 0.906347 & 0.187306 & 0.0936532 \tabularnewline
189 & 0.895925 & 0.208149 & 0.104075 \tabularnewline
190 & 0.888388 & 0.223223 & 0.111612 \tabularnewline
191 & 0.882145 & 0.235709 & 0.117855 \tabularnewline
192 & 0.873201 & 0.253597 & 0.126799 \tabularnewline
193 & 0.855321 & 0.289357 & 0.144679 \tabularnewline
194 & 0.845011 & 0.309977 & 0.154989 \tabularnewline
195 & 0.837879 & 0.324242 & 0.162121 \tabularnewline
196 & 0.820045 & 0.359911 & 0.179955 \tabularnewline
197 & 0.794566 & 0.410869 & 0.205434 \tabularnewline
198 & 0.76499 & 0.470019 & 0.23501 \tabularnewline
199 & 0.736182 & 0.527636 & 0.263818 \tabularnewline
200 & 0.708783 & 0.582434 & 0.291217 \tabularnewline
201 & 0.926375 & 0.147249 & 0.0736247 \tabularnewline
202 & 0.918086 & 0.163827 & 0.0819136 \tabularnewline
203 & 0.902462 & 0.195075 & 0.0975377 \tabularnewline
204 & 0.900386 & 0.199228 & 0.0996142 \tabularnewline
205 & 0.881339 & 0.237322 & 0.118661 \tabularnewline
206 & 0.876102 & 0.247796 & 0.123898 \tabularnewline
207 & 0.93627 & 0.12746 & 0.06373 \tabularnewline
208 & 0.938043 & 0.123915 & 0.0619573 \tabularnewline
209 & 0.943268 & 0.113464 & 0.056732 \tabularnewline
210 & 0.931283 & 0.137433 & 0.0687165 \tabularnewline
211 & 0.940395 & 0.11921 & 0.0596048 \tabularnewline
212 & 0.938169 & 0.123662 & 0.0618312 \tabularnewline
213 & 0.927204 & 0.145591 & 0.0727957 \tabularnewline
214 & 0.911485 & 0.17703 & 0.0885151 \tabularnewline
215 & 0.900743 & 0.198513 & 0.0992567 \tabularnewline
216 & 0.88319 & 0.233619 & 0.11681 \tabularnewline
217 & 0.860722 & 0.278556 & 0.139278 \tabularnewline
218 & 0.906748 & 0.186504 & 0.093252 \tabularnewline
219 & 0.895344 & 0.209311 & 0.104656 \tabularnewline
220 & 0.877563 & 0.244874 & 0.122437 \tabularnewline
221 & 0.855142 & 0.289716 & 0.144858 \tabularnewline
222 & 0.92269 & 0.154621 & 0.0773104 \tabularnewline
223 & 0.911799 & 0.176402 & 0.0882011 \tabularnewline
224 & 0.904647 & 0.190705 & 0.0953527 \tabularnewline
225 & 0.889434 & 0.221132 & 0.110566 \tabularnewline
226 & 0.898861 & 0.202279 & 0.101139 \tabularnewline
227 & 0.877383 & 0.245234 & 0.122617 \tabularnewline
228 & 0.851364 & 0.297272 & 0.148636 \tabularnewline
229 & 0.823146 & 0.353709 & 0.176854 \tabularnewline
230 & 0.795074 & 0.409852 & 0.204926 \tabularnewline
231 & 0.873207 & 0.253586 & 0.126793 \tabularnewline
232 & 0.852032 & 0.295935 & 0.147968 \tabularnewline
233 & 0.819656 & 0.360688 & 0.180344 \tabularnewline
234 & 0.871797 & 0.256405 & 0.128203 \tabularnewline
235 & 0.846741 & 0.306517 & 0.153259 \tabularnewline
236 & 0.912062 & 0.175876 & 0.0879378 \tabularnewline
237 & 0.942833 & 0.114334 & 0.0571672 \tabularnewline
238 & 0.935327 & 0.129347 & 0.0646734 \tabularnewline
239 & 0.944095 & 0.11181 & 0.0559051 \tabularnewline
240 & 0.926502 & 0.146996 & 0.073498 \tabularnewline
241 & 0.919133 & 0.161734 & 0.0808672 \tabularnewline
242 & 0.918948 & 0.162103 & 0.0810516 \tabularnewline
243 & 0.897152 & 0.205697 & 0.102848 \tabularnewline
244 & 0.97643 & 0.0471395 & 0.0235697 \tabularnewline
245 & 0.972702 & 0.0545955 & 0.0272978 \tabularnewline
246 & 0.961945 & 0.0761094 & 0.0380547 \tabularnewline
247 & 0.958783 & 0.0824334 & 0.0412167 \tabularnewline
248 & 0.940813 & 0.118374 & 0.059187 \tabularnewline
249 & 0.918146 & 0.163707 & 0.0818535 \tabularnewline
250 & 0.886991 & 0.226018 & 0.113009 \tabularnewline
251 & 0.850522 & 0.298955 & 0.149478 \tabularnewline
252 & 0.851115 & 0.29777 & 0.148885 \tabularnewline
253 & 0.80335 & 0.393299 & 0.19665 \tabularnewline
254 & 0.748828 & 0.502345 & 0.251172 \tabularnewline
255 & 0.908854 & 0.182292 & 0.0911462 \tabularnewline
256 & 0.86677 & 0.26646 & 0.13323 \tabularnewline
257 & 0.828878 & 0.342243 & 0.171122 \tabularnewline
258 & 0.764801 & 0.470399 & 0.235199 \tabularnewline
259 & 0.680285 & 0.63943 & 0.319715 \tabularnewline
260 & 0.589248 & 0.821505 & 0.410752 \tabularnewline
261 & 0.57866 & 0.842681 & 0.42134 \tabularnewline
262 & 0.502827 & 0.994345 & 0.497173 \tabularnewline
263 & 0.538095 & 0.923809 & 0.461905 \tabularnewline
264 & 0.395901 & 0.791803 & 0.604099 \tabularnewline
265 & 0.253334 & 0.506667 & 0.746666 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=274298&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]13[/C][C]0.190794[/C][C]0.381588[/C][C]0.809206[/C][/ROW]
[ROW][C]14[/C][C]0.0871478[/C][C]0.174296[/C][C]0.912852[/C][/ROW]
[ROW][C]15[/C][C]0.951358[/C][C]0.0972839[/C][C]0.0486419[/C][/ROW]
[ROW][C]16[/C][C]0.915769[/C][C]0.168462[/C][C]0.0842308[/C][/ROW]
[ROW][C]17[/C][C]0.878142[/C][C]0.243716[/C][C]0.121858[/C][/ROW]
[ROW][C]18[/C][C]0.837655[/C][C]0.32469[/C][C]0.162345[/C][/ROW]
[ROW][C]19[/C][C]0.831592[/C][C]0.336816[/C][C]0.168408[/C][/ROW]
[ROW][C]20[/C][C]0.805594[/C][C]0.388812[/C][C]0.194406[/C][/ROW]
[ROW][C]21[/C][C]0.796955[/C][C]0.406089[/C][C]0.203045[/C][/ROW]
[ROW][C]22[/C][C]0.73372[/C][C]0.53256[/C][C]0.26628[/C][/ROW]
[ROW][C]23[/C][C]0.903515[/C][C]0.192971[/C][C]0.0964853[/C][/ROW]
[ROW][C]24[/C][C]0.884804[/C][C]0.230393[/C][C]0.115196[/C][/ROW]
[ROW][C]25[/C][C]0.86398[/C][C]0.27204[/C][C]0.13602[/C][/ROW]
[ROW][C]26[/C][C]0.865412[/C][C]0.269175[/C][C]0.134588[/C][/ROW]
[ROW][C]27[/C][C]0.878727[/C][C]0.242545[/C][C]0.121273[/C][/ROW]
[ROW][C]28[/C][C]0.853911[/C][C]0.292178[/C][C]0.146089[/C][/ROW]
[ROW][C]29[/C][C]0.826755[/C][C]0.34649[/C][C]0.173245[/C][/ROW]
[ROW][C]30[/C][C]0.782597[/C][C]0.434806[/C][C]0.217403[/C][/ROW]
[ROW][C]31[/C][C]0.910752[/C][C]0.178497[/C][C]0.0892485[/C][/ROW]
[ROW][C]32[/C][C]0.904107[/C][C]0.191786[/C][C]0.0958932[/C][/ROW]
[ROW][C]33[/C][C]0.884963[/C][C]0.230074[/C][C]0.115037[/C][/ROW]
[ROW][C]34[/C][C]0.856666[/C][C]0.286669[/C][C]0.143334[/C][/ROW]
[ROW][C]35[/C][C]0.890339[/C][C]0.219322[/C][C]0.109661[/C][/ROW]
[ROW][C]36[/C][C]0.897494[/C][C]0.205011[/C][C]0.102506[/C][/ROW]
[ROW][C]37[/C][C]0.873796[/C][C]0.252408[/C][C]0.126204[/C][/ROW]
[ROW][C]38[/C][C]0.847448[/C][C]0.305104[/C][C]0.152552[/C][/ROW]
[ROW][C]39[/C][C]0.828917[/C][C]0.342166[/C][C]0.171083[/C][/ROW]
[ROW][C]40[/C][C]0.825782[/C][C]0.348436[/C][C]0.174218[/C][/ROW]
[ROW][C]41[/C][C]0.82216[/C][C]0.35568[/C][C]0.17784[/C][/ROW]
[ROW][C]42[/C][C]0.786558[/C][C]0.426884[/C][C]0.213442[/C][/ROW]
[ROW][C]43[/C][C]0.752346[/C][C]0.495309[/C][C]0.247654[/C][/ROW]
[ROW][C]44[/C][C]0.727695[/C][C]0.54461[/C][C]0.272305[/C][/ROW]
[ROW][C]45[/C][C]0.800336[/C][C]0.399329[/C][C]0.199664[/C][/ROW]
[ROW][C]46[/C][C]0.845276[/C][C]0.309448[/C][C]0.154724[/C][/ROW]
[ROW][C]47[/C][C]0.885273[/C][C]0.229454[/C][C]0.114727[/C][/ROW]
[ROW][C]48[/C][C]0.866065[/C][C]0.267871[/C][C]0.133935[/C][/ROW]
[ROW][C]49[/C][C]0.896424[/C][C]0.207152[/C][C]0.103576[/C][/ROW]
[ROW][C]50[/C][C]0.878995[/C][C]0.242009[/C][C]0.121005[/C][/ROW]
[ROW][C]51[/C][C]0.85914[/C][C]0.28172[/C][C]0.14086[/C][/ROW]
[ROW][C]52[/C][C]0.905673[/C][C]0.188654[/C][C]0.0943271[/C][/ROW]
[ROW][C]53[/C][C]0.885454[/C][C]0.229092[/C][C]0.114546[/C][/ROW]
[ROW][C]54[/C][C]0.908035[/C][C]0.183931[/C][C]0.0919653[/C][/ROW]
[ROW][C]55[/C][C]0.900516[/C][C]0.198968[/C][C]0.0994839[/C][/ROW]
[ROW][C]56[/C][C]0.891023[/C][C]0.217954[/C][C]0.108977[/C][/ROW]
[ROW][C]57[/C][C]0.888363[/C][C]0.223273[/C][C]0.111637[/C][/ROW]
[ROW][C]58[/C][C]0.873134[/C][C]0.253732[/C][C]0.126866[/C][/ROW]
[ROW][C]59[/C][C]0.900121[/C][C]0.199757[/C][C]0.0998786[/C][/ROW]
[ROW][C]60[/C][C]0.881092[/C][C]0.237815[/C][C]0.118908[/C][/ROW]
[ROW][C]61[/C][C]0.862312[/C][C]0.275376[/C][C]0.137688[/C][/ROW]
[ROW][C]62[/C][C]0.842152[/C][C]0.315696[/C][C]0.157848[/C][/ROW]
[ROW][C]63[/C][C]0.839797[/C][C]0.320407[/C][C]0.160203[/C][/ROW]
[ROW][C]64[/C][C]0.873039[/C][C]0.253923[/C][C]0.126961[/C][/ROW]
[ROW][C]65[/C][C]0.878949[/C][C]0.242101[/C][C]0.121051[/C][/ROW]
[ROW][C]66[/C][C]0.872041[/C][C]0.255918[/C][C]0.127959[/C][/ROW]
[ROW][C]67[/C][C]0.883856[/C][C]0.232288[/C][C]0.116144[/C][/ROW]
[ROW][C]68[/C][C]0.93065[/C][C]0.138701[/C][C]0.0693504[/C][/ROW]
[ROW][C]69[/C][C]0.943483[/C][C]0.113035[/C][C]0.0565173[/C][/ROW]
[ROW][C]70[/C][C]0.932369[/C][C]0.135261[/C][C]0.0676307[/C][/ROW]
[ROW][C]71[/C][C]0.928807[/C][C]0.142386[/C][C]0.0711929[/C][/ROW]
[ROW][C]72[/C][C]0.920514[/C][C]0.158972[/C][C]0.0794862[/C][/ROW]
[ROW][C]73[/C][C]0.913691[/C][C]0.172619[/C][C]0.0863094[/C][/ROW]
[ROW][C]74[/C][C]0.896857[/C][C]0.206286[/C][C]0.103143[/C][/ROW]
[ROW][C]75[/C][C]0.879897[/C][C]0.240206[/C][C]0.120103[/C][/ROW]
[ROW][C]76[/C][C]0.859607[/C][C]0.280787[/C][C]0.140393[/C][/ROW]
[ROW][C]77[/C][C]0.837023[/C][C]0.325954[/C][C]0.162977[/C][/ROW]
[ROW][C]78[/C][C]0.815652[/C][C]0.368696[/C][C]0.184348[/C][/ROW]
[ROW][C]79[/C][C]0.796552[/C][C]0.406896[/C][C]0.203448[/C][/ROW]
[ROW][C]80[/C][C]0.800176[/C][C]0.399648[/C][C]0.199824[/C][/ROW]
[ROW][C]81[/C][C]0.77391[/C][C]0.452181[/C][C]0.22609[/C][/ROW]
[ROW][C]82[/C][C]0.74974[/C][C]0.50052[/C][C]0.25026[/C][/ROW]
[ROW][C]83[/C][C]0.721566[/C][C]0.556867[/C][C]0.278434[/C][/ROW]
[ROW][C]84[/C][C]0.688464[/C][C]0.623072[/C][C]0.311536[/C][/ROW]
[ROW][C]85[/C][C]0.688357[/C][C]0.623286[/C][C]0.311643[/C][/ROW]
[ROW][C]86[/C][C]0.654206[/C][C]0.691587[/C][C]0.345794[/C][/ROW]
[ROW][C]87[/C][C]0.633979[/C][C]0.732041[/C][C]0.366021[/C][/ROW]
[ROW][C]88[/C][C]0.615524[/C][C]0.768953[/C][C]0.384476[/C][/ROW]
[ROW][C]89[/C][C]0.583809[/C][C]0.832381[/C][C]0.416191[/C][/ROW]
[ROW][C]90[/C][C]0.59313[/C][C]0.813739[/C][C]0.40687[/C][/ROW]
[ROW][C]91[/C][C]0.573021[/C][C]0.853959[/C][C]0.426979[/C][/ROW]
[ROW][C]92[/C][C]0.550535[/C][C]0.89893[/C][C]0.449465[/C][/ROW]
[ROW][C]93[/C][C]0.562671[/C][C]0.874658[/C][C]0.437329[/C][/ROW]
[ROW][C]94[/C][C]0.526682[/C][C]0.946635[/C][C]0.473318[/C][/ROW]
[ROW][C]95[/C][C]0.491838[/C][C]0.983676[/C][C]0.508162[/C][/ROW]
[ROW][C]96[/C][C]0.462105[/C][C]0.924211[/C][C]0.537895[/C][/ROW]
[ROW][C]97[/C][C]0.442203[/C][C]0.884407[/C][C]0.557797[/C][/ROW]
[ROW][C]98[/C][C]0.405672[/C][C]0.811344[/C][C]0.594328[/C][/ROW]
[ROW][C]99[/C][C]0.370631[/C][C]0.741262[/C][C]0.629369[/C][/ROW]
[ROW][C]100[/C][C]0.344671[/C][C]0.689343[/C][C]0.655329[/C][/ROW]
[ROW][C]101[/C][C]0.33558[/C][C]0.671161[/C][C]0.66442[/C][/ROW]
[ROW][C]102[/C][C]0.304483[/C][C]0.608967[/C][C]0.695517[/C][/ROW]
[ROW][C]103[/C][C]0.285898[/C][C]0.571797[/C][C]0.714102[/C][/ROW]
[ROW][C]104[/C][C]0.285638[/C][C]0.571276[/C][C]0.714362[/C][/ROW]
[ROW][C]105[/C][C]0.261137[/C][C]0.522274[/C][C]0.738863[/C][/ROW]
[ROW][C]106[/C][C]0.232188[/C][C]0.464376[/C][C]0.767812[/C][/ROW]
[ROW][C]107[/C][C]0.205605[/C][C]0.411211[/C][C]0.794395[/C][/ROW]
[ROW][C]108[/C][C]0.181237[/C][C]0.362475[/C][C]0.818763[/C][/ROW]
[ROW][C]109[/C][C]0.209531[/C][C]0.419061[/C][C]0.790469[/C][/ROW]
[ROW][C]110[/C][C]0.185117[/C][C]0.370234[/C][C]0.814883[/C][/ROW]
[ROW][C]111[/C][C]0.167653[/C][C]0.335306[/C][C]0.832347[/C][/ROW]
[ROW][C]112[/C][C]0.145818[/C][C]0.291636[/C][C]0.854182[/C][/ROW]
[ROW][C]113[/C][C]0.163514[/C][C]0.327029[/C][C]0.836486[/C][/ROW]
[ROW][C]114[/C][C]0.183124[/C][C]0.366248[/C][C]0.816876[/C][/ROW]
[ROW][C]115[/C][C]0.266972[/C][C]0.533945[/C][C]0.733028[/C][/ROW]
[ROW][C]116[/C][C]0.317542[/C][C]0.635085[/C][C]0.682458[/C][/ROW]
[ROW][C]117[/C][C]0.338821[/C][C]0.677641[/C][C]0.661179[/C][/ROW]
[ROW][C]118[/C][C]0.307542[/C][C]0.615084[/C][C]0.692458[/C][/ROW]
[ROW][C]119[/C][C]0.39886[/C][C]0.79772[/C][C]0.60114[/C][/ROW]
[ROW][C]120[/C][C]0.399779[/C][C]0.799558[/C][C]0.600221[/C][/ROW]
[ROW][C]121[/C][C]0.389621[/C][C]0.779243[/C][C]0.610379[/C][/ROW]
[ROW][C]122[/C][C]0.48699[/C][C]0.97398[/C][C]0.51301[/C][/ROW]
[ROW][C]123[/C][C]0.465012[/C][C]0.930024[/C][C]0.534988[/C][/ROW]
[ROW][C]124[/C][C]0.667224[/C][C]0.665552[/C][C]0.332776[/C][/ROW]
[ROW][C]125[/C][C]0.641753[/C][C]0.716495[/C][C]0.358247[/C][/ROW]
[ROW][C]126[/C][C]0.609513[/C][C]0.780973[/C][C]0.390487[/C][/ROW]
[ROW][C]127[/C][C]0.583224[/C][C]0.833552[/C][C]0.416776[/C][/ROW]
[ROW][C]128[/C][C]0.556151[/C][C]0.887699[/C][C]0.443849[/C][/ROW]
[ROW][C]129[/C][C]0.592328[/C][C]0.815344[/C][C]0.407672[/C][/ROW]
[ROW][C]130[/C][C]0.576476[/C][C]0.847048[/C][C]0.423524[/C][/ROW]
[ROW][C]131[/C][C]0.544084[/C][C]0.911832[/C][C]0.455916[/C][/ROW]
[ROW][C]132[/C][C]0.539926[/C][C]0.920149[/C][C]0.460074[/C][/ROW]
[ROW][C]133[/C][C]0.505996[/C][C]0.988008[/C][C]0.494004[/C][/ROW]
[ROW][C]134[/C][C]0.473584[/C][C]0.947167[/C][C]0.526416[/C][/ROW]
[ROW][C]135[/C][C]0.508356[/C][C]0.983288[/C][C]0.491644[/C][/ROW]
[ROW][C]136[/C][C]0.517694[/C][C]0.964612[/C][C]0.482306[/C][/ROW]
[ROW][C]137[/C][C]0.485244[/C][C]0.970487[/C][C]0.514756[/C][/ROW]
[ROW][C]138[/C][C]0.718619[/C][C]0.562762[/C][C]0.281381[/C][/ROW]
[ROW][C]139[/C][C]0.701055[/C][C]0.597889[/C][C]0.298945[/C][/ROW]
[ROW][C]140[/C][C]0.672006[/C][C]0.655987[/C][C]0.327994[/C][/ROW]
[ROW][C]141[/C][C]0.64587[/C][C]0.708259[/C][C]0.35413[/C][/ROW]
[ROW][C]142[/C][C]0.677054[/C][C]0.645891[/C][C]0.322946[/C][/ROW]
[ROW][C]143[/C][C]0.681376[/C][C]0.637248[/C][C]0.318624[/C][/ROW]
[ROW][C]144[/C][C]0.650019[/C][C]0.699962[/C][C]0.349981[/C][/ROW]
[ROW][C]145[/C][C]0.629379[/C][C]0.741243[/C][C]0.370621[/C][/ROW]
[ROW][C]146[/C][C]0.599819[/C][C]0.800363[/C][C]0.400181[/C][/ROW]
[ROW][C]147[/C][C]0.56577[/C][C]0.868459[/C][C]0.43423[/C][/ROW]
[ROW][C]148[/C][C]0.549462[/C][C]0.901077[/C][C]0.450538[/C][/ROW]
[ROW][C]149[/C][C]0.516649[/C][C]0.966701[/C][C]0.483351[/C][/ROW]
[ROW][C]150[/C][C]0.551714[/C][C]0.896571[/C][C]0.448286[/C][/ROW]
[ROW][C]151[/C][C]0.561977[/C][C]0.876046[/C][C]0.438023[/C][/ROW]
[ROW][C]152[/C][C]0.538932[/C][C]0.922136[/C][C]0.461068[/C][/ROW]
[ROW][C]153[/C][C]0.530234[/C][C]0.939531[/C][C]0.469766[/C][/ROW]
[ROW][C]154[/C][C]0.550243[/C][C]0.899514[/C][C]0.449757[/C][/ROW]
[ROW][C]155[/C][C]0.526575[/C][C]0.94685[/C][C]0.473425[/C][/ROW]
[ROW][C]156[/C][C]0.494766[/C][C]0.989532[/C][C]0.505234[/C][/ROW]
[ROW][C]157[/C][C]0.506372[/C][C]0.987256[/C][C]0.493628[/C][/ROW]
[ROW][C]158[/C][C]0.486583[/C][C]0.973165[/C][C]0.513417[/C][/ROW]
[ROW][C]159[/C][C]0.466632[/C][C]0.933265[/C][C]0.533368[/C][/ROW]
[ROW][C]160[/C][C]0.449284[/C][C]0.898567[/C][C]0.550716[/C][/ROW]
[ROW][C]161[/C][C]0.430378[/C][C]0.860756[/C][C]0.569622[/C][/ROW]
[ROW][C]162[/C][C]0.39664[/C][C]0.79328[/C][C]0.60336[/C][/ROW]
[ROW][C]163[/C][C]0.400003[/C][C]0.800006[/C][C]0.599997[/C][/ROW]
[ROW][C]164[/C][C]0.83287[/C][C]0.334259[/C][C]0.16713[/C][/ROW]
[ROW][C]165[/C][C]0.87883[/C][C]0.24234[/C][C]0.12117[/C][/ROW]
[ROW][C]166[/C][C]0.879534[/C][C]0.240931[/C][C]0.120466[/C][/ROW]
[ROW][C]167[/C][C]0.869826[/C][C]0.260348[/C][C]0.130174[/C][/ROW]
[ROW][C]168[/C][C]0.851764[/C][C]0.296473[/C][C]0.148236[/C][/ROW]
[ROW][C]169[/C][C]0.830459[/C][C]0.339082[/C][C]0.169541[/C][/ROW]
[ROW][C]170[/C][C]0.810809[/C][C]0.378383[/C][C]0.189191[/C][/ROW]
[ROW][C]171[/C][C]0.787087[/C][C]0.425826[/C][C]0.212913[/C][/ROW]
[ROW][C]172[/C][C]0.770644[/C][C]0.458712[/C][C]0.229356[/C][/ROW]
[ROW][C]173[/C][C]0.783071[/C][C]0.433858[/C][C]0.216929[/C][/ROW]
[ROW][C]174[/C][C]0.787258[/C][C]0.425483[/C][C]0.212742[/C][/ROW]
[ROW][C]175[/C][C]0.793071[/C][C]0.413857[/C][C]0.206929[/C][/ROW]
[ROW][C]176[/C][C]0.790881[/C][C]0.418237[/C][C]0.209119[/C][/ROW]
[ROW][C]177[/C][C]0.763923[/C][C]0.472153[/C][C]0.236077[/C][/ROW]
[ROW][C]178[/C][C]0.760394[/C][C]0.479211[/C][C]0.239606[/C][/ROW]
[ROW][C]179[/C][C]0.82668[/C][C]0.34664[/C][C]0.17332[/C][/ROW]
[ROW][C]180[/C][C]0.931827[/C][C]0.136346[/C][C]0.0681731[/C][/ROW]
[ROW][C]181[/C][C]0.919097[/C][C]0.161805[/C][C]0.0809027[/C][/ROW]
[ROW][C]182[/C][C]0.916618[/C][C]0.166763[/C][C]0.0833817[/C][/ROW]
[ROW][C]183[/C][C]0.904465[/C][C]0.191071[/C][C]0.0955354[/C][/ROW]
[ROW][C]184[/C][C]0.891708[/C][C]0.216584[/C][C]0.108292[/C][/ROW]
[ROW][C]185[/C][C]0.936787[/C][C]0.126425[/C][C]0.0632125[/C][/ROW]
[ROW][C]186[/C][C]0.926919[/C][C]0.146162[/C][C]0.0730808[/C][/ROW]
[ROW][C]187[/C][C]0.915667[/C][C]0.168666[/C][C]0.0843331[/C][/ROW]
[ROW][C]188[/C][C]0.906347[/C][C]0.187306[/C][C]0.0936532[/C][/ROW]
[ROW][C]189[/C][C]0.895925[/C][C]0.208149[/C][C]0.104075[/C][/ROW]
[ROW][C]190[/C][C]0.888388[/C][C]0.223223[/C][C]0.111612[/C][/ROW]
[ROW][C]191[/C][C]0.882145[/C][C]0.235709[/C][C]0.117855[/C][/ROW]
[ROW][C]192[/C][C]0.873201[/C][C]0.253597[/C][C]0.126799[/C][/ROW]
[ROW][C]193[/C][C]0.855321[/C][C]0.289357[/C][C]0.144679[/C][/ROW]
[ROW][C]194[/C][C]0.845011[/C][C]0.309977[/C][C]0.154989[/C][/ROW]
[ROW][C]195[/C][C]0.837879[/C][C]0.324242[/C][C]0.162121[/C][/ROW]
[ROW][C]196[/C][C]0.820045[/C][C]0.359911[/C][C]0.179955[/C][/ROW]
[ROW][C]197[/C][C]0.794566[/C][C]0.410869[/C][C]0.205434[/C][/ROW]
[ROW][C]198[/C][C]0.76499[/C][C]0.470019[/C][C]0.23501[/C][/ROW]
[ROW][C]199[/C][C]0.736182[/C][C]0.527636[/C][C]0.263818[/C][/ROW]
[ROW][C]200[/C][C]0.708783[/C][C]0.582434[/C][C]0.291217[/C][/ROW]
[ROW][C]201[/C][C]0.926375[/C][C]0.147249[/C][C]0.0736247[/C][/ROW]
[ROW][C]202[/C][C]0.918086[/C][C]0.163827[/C][C]0.0819136[/C][/ROW]
[ROW][C]203[/C][C]0.902462[/C][C]0.195075[/C][C]0.0975377[/C][/ROW]
[ROW][C]204[/C][C]0.900386[/C][C]0.199228[/C][C]0.0996142[/C][/ROW]
[ROW][C]205[/C][C]0.881339[/C][C]0.237322[/C][C]0.118661[/C][/ROW]
[ROW][C]206[/C][C]0.876102[/C][C]0.247796[/C][C]0.123898[/C][/ROW]
[ROW][C]207[/C][C]0.93627[/C][C]0.12746[/C][C]0.06373[/C][/ROW]
[ROW][C]208[/C][C]0.938043[/C][C]0.123915[/C][C]0.0619573[/C][/ROW]
[ROW][C]209[/C][C]0.943268[/C][C]0.113464[/C][C]0.056732[/C][/ROW]
[ROW][C]210[/C][C]0.931283[/C][C]0.137433[/C][C]0.0687165[/C][/ROW]
[ROW][C]211[/C][C]0.940395[/C][C]0.11921[/C][C]0.0596048[/C][/ROW]
[ROW][C]212[/C][C]0.938169[/C][C]0.123662[/C][C]0.0618312[/C][/ROW]
[ROW][C]213[/C][C]0.927204[/C][C]0.145591[/C][C]0.0727957[/C][/ROW]
[ROW][C]214[/C][C]0.911485[/C][C]0.17703[/C][C]0.0885151[/C][/ROW]
[ROW][C]215[/C][C]0.900743[/C][C]0.198513[/C][C]0.0992567[/C][/ROW]
[ROW][C]216[/C][C]0.88319[/C][C]0.233619[/C][C]0.11681[/C][/ROW]
[ROW][C]217[/C][C]0.860722[/C][C]0.278556[/C][C]0.139278[/C][/ROW]
[ROW][C]218[/C][C]0.906748[/C][C]0.186504[/C][C]0.093252[/C][/ROW]
[ROW][C]219[/C][C]0.895344[/C][C]0.209311[/C][C]0.104656[/C][/ROW]
[ROW][C]220[/C][C]0.877563[/C][C]0.244874[/C][C]0.122437[/C][/ROW]
[ROW][C]221[/C][C]0.855142[/C][C]0.289716[/C][C]0.144858[/C][/ROW]
[ROW][C]222[/C][C]0.92269[/C][C]0.154621[/C][C]0.0773104[/C][/ROW]
[ROW][C]223[/C][C]0.911799[/C][C]0.176402[/C][C]0.0882011[/C][/ROW]
[ROW][C]224[/C][C]0.904647[/C][C]0.190705[/C][C]0.0953527[/C][/ROW]
[ROW][C]225[/C][C]0.889434[/C][C]0.221132[/C][C]0.110566[/C][/ROW]
[ROW][C]226[/C][C]0.898861[/C][C]0.202279[/C][C]0.101139[/C][/ROW]
[ROW][C]227[/C][C]0.877383[/C][C]0.245234[/C][C]0.122617[/C][/ROW]
[ROW][C]228[/C][C]0.851364[/C][C]0.297272[/C][C]0.148636[/C][/ROW]
[ROW][C]229[/C][C]0.823146[/C][C]0.353709[/C][C]0.176854[/C][/ROW]
[ROW][C]230[/C][C]0.795074[/C][C]0.409852[/C][C]0.204926[/C][/ROW]
[ROW][C]231[/C][C]0.873207[/C][C]0.253586[/C][C]0.126793[/C][/ROW]
[ROW][C]232[/C][C]0.852032[/C][C]0.295935[/C][C]0.147968[/C][/ROW]
[ROW][C]233[/C][C]0.819656[/C][C]0.360688[/C][C]0.180344[/C][/ROW]
[ROW][C]234[/C][C]0.871797[/C][C]0.256405[/C][C]0.128203[/C][/ROW]
[ROW][C]235[/C][C]0.846741[/C][C]0.306517[/C][C]0.153259[/C][/ROW]
[ROW][C]236[/C][C]0.912062[/C][C]0.175876[/C][C]0.0879378[/C][/ROW]
[ROW][C]237[/C][C]0.942833[/C][C]0.114334[/C][C]0.0571672[/C][/ROW]
[ROW][C]238[/C][C]0.935327[/C][C]0.129347[/C][C]0.0646734[/C][/ROW]
[ROW][C]239[/C][C]0.944095[/C][C]0.11181[/C][C]0.0559051[/C][/ROW]
[ROW][C]240[/C][C]0.926502[/C][C]0.146996[/C][C]0.073498[/C][/ROW]
[ROW][C]241[/C][C]0.919133[/C][C]0.161734[/C][C]0.0808672[/C][/ROW]
[ROW][C]242[/C][C]0.918948[/C][C]0.162103[/C][C]0.0810516[/C][/ROW]
[ROW][C]243[/C][C]0.897152[/C][C]0.205697[/C][C]0.102848[/C][/ROW]
[ROW][C]244[/C][C]0.97643[/C][C]0.0471395[/C][C]0.0235697[/C][/ROW]
[ROW][C]245[/C][C]0.972702[/C][C]0.0545955[/C][C]0.0272978[/C][/ROW]
[ROW][C]246[/C][C]0.961945[/C][C]0.0761094[/C][C]0.0380547[/C][/ROW]
[ROW][C]247[/C][C]0.958783[/C][C]0.0824334[/C][C]0.0412167[/C][/ROW]
[ROW][C]248[/C][C]0.940813[/C][C]0.118374[/C][C]0.059187[/C][/ROW]
[ROW][C]249[/C][C]0.918146[/C][C]0.163707[/C][C]0.0818535[/C][/ROW]
[ROW][C]250[/C][C]0.886991[/C][C]0.226018[/C][C]0.113009[/C][/ROW]
[ROW][C]251[/C][C]0.850522[/C][C]0.298955[/C][C]0.149478[/C][/ROW]
[ROW][C]252[/C][C]0.851115[/C][C]0.29777[/C][C]0.148885[/C][/ROW]
[ROW][C]253[/C][C]0.80335[/C][C]0.393299[/C][C]0.19665[/C][/ROW]
[ROW][C]254[/C][C]0.748828[/C][C]0.502345[/C][C]0.251172[/C][/ROW]
[ROW][C]255[/C][C]0.908854[/C][C]0.182292[/C][C]0.0911462[/C][/ROW]
[ROW][C]256[/C][C]0.86677[/C][C]0.26646[/C][C]0.13323[/C][/ROW]
[ROW][C]257[/C][C]0.828878[/C][C]0.342243[/C][C]0.171122[/C][/ROW]
[ROW][C]258[/C][C]0.764801[/C][C]0.470399[/C][C]0.235199[/C][/ROW]
[ROW][C]259[/C][C]0.680285[/C][C]0.63943[/C][C]0.319715[/C][/ROW]
[ROW][C]260[/C][C]0.589248[/C][C]0.821505[/C][C]0.410752[/C][/ROW]
[ROW][C]261[/C][C]0.57866[/C][C]0.842681[/C][C]0.42134[/C][/ROW]
[ROW][C]262[/C][C]0.502827[/C][C]0.994345[/C][C]0.497173[/C][/ROW]
[ROW][C]263[/C][C]0.538095[/C][C]0.923809[/C][C]0.461905[/C][/ROW]
[ROW][C]264[/C][C]0.395901[/C][C]0.791803[/C][C]0.604099[/C][/ROW]
[ROW][C]265[/C][C]0.253334[/C][C]0.506667[/C][C]0.746666[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=274298&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=274298&T=5

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


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
130.1907940.3815880.809206
140.08714780.1742960.912852
150.9513580.09728390.0486419
160.9157690.1684620.0842308
170.8781420.2437160.121858
180.8376550.324690.162345
190.8315920.3368160.168408
200.8055940.3888120.194406
210.7969550.4060890.203045
220.733720.532560.26628
230.9035150.1929710.0964853
240.8848040.2303930.115196
250.863980.272040.13602
260.8654120.2691750.134588
270.8787270.2425450.121273
280.8539110.2921780.146089
290.8267550.346490.173245
300.7825970.4348060.217403
310.9107520.1784970.0892485
320.9041070.1917860.0958932
330.8849630.2300740.115037
340.8566660.2866690.143334
350.8903390.2193220.109661
360.8974940.2050110.102506
370.8737960.2524080.126204
380.8474480.3051040.152552
390.8289170.3421660.171083
400.8257820.3484360.174218
410.822160.355680.17784
420.7865580.4268840.213442
430.7523460.4953090.247654
440.7276950.544610.272305
450.8003360.3993290.199664
460.8452760.3094480.154724
470.8852730.2294540.114727
480.8660650.2678710.133935
490.8964240.2071520.103576
500.8789950.2420090.121005
510.859140.281720.14086
520.9056730.1886540.0943271
530.8854540.2290920.114546
540.9080350.1839310.0919653
550.9005160.1989680.0994839
560.8910230.2179540.108977
570.8883630.2232730.111637
580.8731340.2537320.126866
590.9001210.1997570.0998786
600.8810920.2378150.118908
610.8623120.2753760.137688
620.8421520.3156960.157848
630.8397970.3204070.160203
640.8730390.2539230.126961
650.8789490.2421010.121051
660.8720410.2559180.127959
670.8838560.2322880.116144
680.930650.1387010.0693504
690.9434830.1130350.0565173
700.9323690.1352610.0676307
710.9288070.1423860.0711929
720.9205140.1589720.0794862
730.9136910.1726190.0863094
740.8968570.2062860.103143
750.8798970.2402060.120103
760.8596070.2807870.140393
770.8370230.3259540.162977
780.8156520.3686960.184348
790.7965520.4068960.203448
800.8001760.3996480.199824
810.773910.4521810.22609
820.749740.500520.25026
830.7215660.5568670.278434
840.6884640.6230720.311536
850.6883570.6232860.311643
860.6542060.6915870.345794
870.6339790.7320410.366021
880.6155240.7689530.384476
890.5838090.8323810.416191
900.593130.8137390.40687
910.5730210.8539590.426979
920.5505350.898930.449465
930.5626710.8746580.437329
940.5266820.9466350.473318
950.4918380.9836760.508162
960.4621050.9242110.537895
970.4422030.8844070.557797
980.4056720.8113440.594328
990.3706310.7412620.629369
1000.3446710.6893430.655329
1010.335580.6711610.66442
1020.3044830.6089670.695517
1030.2858980.5717970.714102
1040.2856380.5712760.714362
1050.2611370.5222740.738863
1060.2321880.4643760.767812
1070.2056050.4112110.794395
1080.1812370.3624750.818763
1090.2095310.4190610.790469
1100.1851170.3702340.814883
1110.1676530.3353060.832347
1120.1458180.2916360.854182
1130.1635140.3270290.836486
1140.1831240.3662480.816876
1150.2669720.5339450.733028
1160.3175420.6350850.682458
1170.3388210.6776410.661179
1180.3075420.6150840.692458
1190.398860.797720.60114
1200.3997790.7995580.600221
1210.3896210.7792430.610379
1220.486990.973980.51301
1230.4650120.9300240.534988
1240.6672240.6655520.332776
1250.6417530.7164950.358247
1260.6095130.7809730.390487
1270.5832240.8335520.416776
1280.5561510.8876990.443849
1290.5923280.8153440.407672
1300.5764760.8470480.423524
1310.5440840.9118320.455916
1320.5399260.9201490.460074
1330.5059960.9880080.494004
1340.4735840.9471670.526416
1350.5083560.9832880.491644
1360.5176940.9646120.482306
1370.4852440.9704870.514756
1380.7186190.5627620.281381
1390.7010550.5978890.298945
1400.6720060.6559870.327994
1410.645870.7082590.35413
1420.6770540.6458910.322946
1430.6813760.6372480.318624
1440.6500190.6999620.349981
1450.6293790.7412430.370621
1460.5998190.8003630.400181
1470.565770.8684590.43423
1480.5494620.9010770.450538
1490.5166490.9667010.483351
1500.5517140.8965710.448286
1510.5619770.8760460.438023
1520.5389320.9221360.461068
1530.5302340.9395310.469766
1540.5502430.8995140.449757
1550.5265750.946850.473425
1560.4947660.9895320.505234
1570.5063720.9872560.493628
1580.4865830.9731650.513417
1590.4666320.9332650.533368
1600.4492840.8985670.550716
1610.4303780.8607560.569622
1620.396640.793280.60336
1630.4000030.8000060.599997
1640.832870.3342590.16713
1650.878830.242340.12117
1660.8795340.2409310.120466
1670.8698260.2603480.130174
1680.8517640.2964730.148236
1690.8304590.3390820.169541
1700.8108090.3783830.189191
1710.7870870.4258260.212913
1720.7706440.4587120.229356
1730.7830710.4338580.216929
1740.7872580.4254830.212742
1750.7930710.4138570.206929
1760.7908810.4182370.209119
1770.7639230.4721530.236077
1780.7603940.4792110.239606
1790.826680.346640.17332
1800.9318270.1363460.0681731
1810.9190970.1618050.0809027
1820.9166180.1667630.0833817
1830.9044650.1910710.0955354
1840.8917080.2165840.108292
1850.9367870.1264250.0632125
1860.9269190.1461620.0730808
1870.9156670.1686660.0843331
1880.9063470.1873060.0936532
1890.8959250.2081490.104075
1900.8883880.2232230.111612
1910.8821450.2357090.117855
1920.8732010.2535970.126799
1930.8553210.2893570.144679
1940.8450110.3099770.154989
1950.8378790.3242420.162121
1960.8200450.3599110.179955
1970.7945660.4108690.205434
1980.764990.4700190.23501
1990.7361820.5276360.263818
2000.7087830.5824340.291217
2010.9263750.1472490.0736247
2020.9180860.1638270.0819136
2030.9024620.1950750.0975377
2040.9003860.1992280.0996142
2050.8813390.2373220.118661
2060.8761020.2477960.123898
2070.936270.127460.06373
2080.9380430.1239150.0619573
2090.9432680.1134640.056732
2100.9312830.1374330.0687165
2110.9403950.119210.0596048
2120.9381690.1236620.0618312
2130.9272040.1455910.0727957
2140.9114850.177030.0885151
2150.9007430.1985130.0992567
2160.883190.2336190.11681
2170.8607220.2785560.139278
2180.9067480.1865040.093252
2190.8953440.2093110.104656
2200.8775630.2448740.122437
2210.8551420.2897160.144858
2220.922690.1546210.0773104
2230.9117990.1764020.0882011
2240.9046470.1907050.0953527
2250.8894340.2211320.110566
2260.8988610.2022790.101139
2270.8773830.2452340.122617
2280.8513640.2972720.148636
2290.8231460.3537090.176854
2300.7950740.4098520.204926
2310.8732070.2535860.126793
2320.8520320.2959350.147968
2330.8196560.3606880.180344
2340.8717970.2564050.128203
2350.8467410.3065170.153259
2360.9120620.1758760.0879378
2370.9428330.1143340.0571672
2380.9353270.1293470.0646734
2390.9440950.111810.0559051
2400.9265020.1469960.073498
2410.9191330.1617340.0808672
2420.9189480.1621030.0810516
2430.8971520.2056970.102848
2440.976430.04713950.0235697
2450.9727020.05459550.0272978
2460.9619450.07610940.0380547
2470.9587830.08243340.0412167
2480.9408130.1183740.059187
2490.9181460.1637070.0818535
2500.8869910.2260180.113009
2510.8505220.2989550.149478
2520.8511150.297770.148885
2530.803350.3932990.19665
2540.7488280.5023450.251172
2550.9088540.1822920.0911462
2560.866770.266460.13323
2570.8288780.3422430.171122
2580.7648010.4703990.235199
2590.6802850.639430.319715
2600.5892480.8215050.410752
2610.578660.8426810.42134
2620.5028270.9943450.497173
2630.5380950.9238090.461905
2640.3959010.7918030.604099
2650.2533340.5066670.746666






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level10.00395257OK
10% type I error level50.0197628OK

\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 & 1 & 0.00395257 & OK \tabularnewline
10% type I error level & 5 & 0.0197628 & OK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=274298&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]1[/C][C]0.00395257[/C][C]OK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]5[/C][C]0.0197628[/C][C]OK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=274298&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=274298&T=6

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level10.00395257OK
10% type I error level50.0197628OK


Figures (Output of Computation)

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Input Parameters & R Code

Parameters (Session):
par1 = 12 ;
Parameters (R input):
par1 = 6 ; 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')
}