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Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationTue, 02 Dec 2014 10:53:35 +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/2014/Dec/02/t1417517765kowlh1mulvdyskl.htm/, Retrieved Thu, 31 Oct 2024 23:21:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=262484, Retrieved Thu, 31 Oct 2024 23:21:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact115
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [Paper2014Les1] [2014-12-02 10:53:35] [54099b55f731ed0aca9a713a2b2a06c3] [Current]
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Dataseries X:
2011 1 0 11 8 7 18 12 20 4 21 149 68
2011 1 1 19 18 20 23 20 19 4 22 139 39
2011 1 0 16 12 9 22 14 18 5 22 148 32
2011 1 1 24 24 19 22 25 24 4 18 158 62
2011 1 1 15 16 12 19 15 20 4 23 128 33
2011 1 1 17 19 16 25 20 20 9 12 224 52
2011 1 0 19 16 17 28 21 24 8 20 159 62
2011 1 1 19 15 9 16 15 21 11 22 105 77
2011 1 1 28 28 28 28 28 28 4 21 159 76
2011 1 1 26 21 20 21 11 10 4 19 167 41
2011 1 1 15 18 16 22 22 22 6 22 165 48
2011 1 1 26 22 22 24 22 19 4 15 159 63
2011 1 1 16 19 17 24 27 27 8 20 119 30
2011 1 0 24 22 12 26 24 23 4 19 176 78
2011 1 0 25 25 18 28 23 24 4 18 54 19
2011 0 0 22 20 20 24 24 24 11 15 91 31
2011 1 1 15 16 12 20 21 25 4 20 163 66
2011 1 0 21 19 16 26 20 24 4 21 124 35
2011 0 1 22 18 16 21 19 21 6 21 137 42
2011 1 0 27 26 21 28 25 28 6 15 121 45
2011 1 1 26 24 15 27 16 28 4 16 153 21
2011 1 1 26 20 17 23 24 22 8 23 148 25
2011 1 0 22 19 17 24 21 26 5 21 221 44
2011 1 1 21 19 17 24 22 26 4 18 188 69
2011 1 1 22 23 18 22 25 21 9 25 149 54
2011 1 1 20 18 15 21 23 26 4 9 244 74
2011 0 1 21 16 20 25 20 23 7 30 148 80
2011 0 0 20 18 13 20 21 20 10 20 92 42
2011 1 1 22 21 21 21 22 24 4 23 150 61
2011 1 0 21 20 12 26 25 25 4 16 153 41
2011 1 0 8 15 6 23 23 24 7 16 94 46
2011 1 0 22 19 13 21 19 20 12 19 156 39
2011 1 1 20 19 19 27 21 24 7 25 132 34
2011 1 1 24 7 12 25 19 25 5 18 161 51
2011 1 1 17 20 14 23 25 23 8 23 105 42
2011 1 1 20 20 13 25 16 21 5 21 97 31
2011 1 0 23 19 12 23 24 23 4 10 151 39
2011 0 1 20 19 17 19 24 21 9 14 131 20
2011 1 1 22 20 19 22 18 18 7 22 166 49
2011 1 0 19 18 10 24 28 24 4 26 157 53
2011 1 1 15 14 10 19 15 18 4 23 111 31
2011 1 1 20 17 11 21 17 21 4 23 145 39
2011 1 1 22 17 11 27 18 23 4 24 162 54
2011 1 1 17 8 10 25 26 25 4 24 163 49
2011 0 1 14 9 7 25 18 22 7 18 59 34
2011 1 0 24 22 22 23 22 22 4 23 187 46
2011 1 1 17 20 12 17 19 23 7 15 109 55
2011 0 1 23 20 18 28 17 24 4 19 90 42
2011 1 0 25 22 20 25 26 25 4 16 105 50
2011 0 1 16 22 9 20 21 22 4 25 83 13
2011 0 1 18 22 16 25 26 24 4 23 116 37
2011 0 1 20 16 14 21 21 21 8 17 42 25
2011 1 1 18 14 11 24 12 24 4 19 148 30
2011 0 1 23 24 20 28 20 25 4 21 155 28
2011 1 1 24 21 17 20 20 23 4 18 125 45
2011 1 1 23 20 14 19 24 27 4 27 116 35
2011 0 0 13 20 8 24 24 27 7 21 128 28
2011 1 1 20 18 16 21 22 23 12 13 138 41
2011 0 0 20 14 11 24 21 18 4 8 49 6
2011 0 1 19 19 10 23 20 20 4 29 96 45
2011 1 1 22 24 15 18 23 23 4 28 164 73
2011 1 0 22 19 15 27 19 24 5 23 162 17
2011 1 0 15 16 10 25 24 26 15 21 99 40
2011 1 1 17 16 10 20 21 20 5 19 202 64
2011 1 0 19 16 18 21 16 23 10 19 186 37
2011 0 1 20 14 10 23 17 22 9 20 66 25
2011 1 0 22 22 22 27 23 23 8 18 183 65
2011 1 1 21 21 16 24 20 17 4 19 214 100
2011 1 1 21 15 10 27 19 20 5 17 188 28
2011 0 0 16 14 7 24 18 22 4 19 104 35
2011 1 0 20 15 16 23 18 18 9 25 177 56
2011 1 0 21 14 16 24 21 19 4 19 126 29
2011 0 0 20 20 16 21 20 19 10 22 76 43
2011 0 1 23 21 22 23 17 16 4 23 99 59
2011 1 0 18 14 5 27 25 26 4 14 139 50
2011 1 0 16 16 10 25 17 25 7 16 162 59
2011 0 1 17 13 8 19 17 23 5 24 108 27
2011 1 0 24 26 16 24 24 18 4 20 159 61
2011 0 0 13 13 8 25 21 22 4 12 74 28
2011 1 1 19 18 16 23 22 26 4 24 110 51
2011 0 0 20 15 14 23 18 25 4 22 96 35
2011 0 0 22 18 15 25 22 26 4 12 116 29
2011 0 0 19 21 9 26 20 26 4 22 87 48
2011 0 1 21 17 21 26 21 24 6 20 97 25
2011 0 0 15 18 7 16 21 22 10 10 127 44
2011 0 1 21 20 17 23 20 21 7 23 106 64
2011 0 1 24 18 18 26 18 22 4 17 80 32
2011 0 0 22 25 16 25 25 28 4 22 74 20
2011 0 0 20 20 16 23 23 22 7 24 91 28
2011 0 0 21 19 14 26 21 26 4 18 133 34
2011 0 1 19 18 15 22 20 20 8 21 74 31
2011 0 1 14 12 8 20 21 24 11 20 114 26
2011 0 1 25 22 22 27 20 21 6 20 140 58
2011 0 0 11 16 5 20 22 23 14 22 95 23
2011 0 1 17 18 13 22 15 23 5 19 98 21
2011 0 0 22 23 22 24 24 23 4 20 121 21
2011 0 1 20 20 18 21 22 22 8 26 126 33
2011 0 1 22 20 15 24 21 23 9 23 98 16
2011 0 1 15 16 11 26 17 21 4 24 95 20
2011 0 1 23 22 19 24 23 27 4 21 110 37
2011 0 1 20 19 19 24 22 23 5 21 70 35
2011 0 0 22 23 21 27 23 26 4 19 102 33
2011 0 1 16 6 4 25 16 27 5 8 86 27
2011 0 1 25 19 17 27 18 27 4 17 130 41
2011 0 1 18 24 10 19 25 23 4 20 96 40
2011 0 0 19 19 13 22 18 23 7 11 102 35
2011 0 0 25 15 15 22 14 23 10 8 100 28
2011 0 0 21 18 11 25 20 28 4 15 94 32
2011 0 0 22 18 20 23 19 24 5 18 52 22
2011 0 0 21 22 13 24 18 20 4 18 98 44
2011 0 0 22 23 18 24 22 23 4 19 118 27
2011 0 1 23 18 20 23 21 22 4 19 99 17
2012 1 1 20 17 15 22 14 15 6 23 48 12
2012 1 1 6 6 4 24 5 27 4 22 50 45
2012 1 1 15 22 9 19 25 23 8 21 150 37
2012 1 1 18 20 18 25 21 23 5 25 154 37
2012 0 0 24 16 12 26 11 20 4 30 109 108
2012 0 1 22 16 17 18 20 18 17 17 68 10
2012 1 1 21 17 12 24 9 22 4 27 194 68
2012 1 0 23 20 16 28 15 20 4 23 158 72
2012 1 1 20 23 17 23 23 21 8 23 159 143
2012 1 0 20 18 14 19 21 25 4 18 67 9
2012 1 0 18 13 13 19 9 19 7 18 147 55
2012 1 1 25 22 20 27 24 25 4 23 39 17
2012 1 1 16 20 16 24 16 24 4 19 100 37
2012 1 1 20 20 15 26 20 22 5 15 111 27
2012 1 1 14 13 10 21 15 28 7 20 138 37
2012 1 1 22 16 16 25 18 22 4 16 101 58
2012 0 1 26 25 21 28 22 21 4 24 131 66
2012 1 1 20 16 15 19 21 23 7 25 101 21
2012 1 1 17 15 16 20 21 19 11 25 114 19
2012 1 0 22 19 19 26 21 21 7 19 165 78
2012 1 1 22 19 9 27 20 25 4 19 114 35
2012 1 1 20 24 19 23 24 23 4 16 111 48
2012 1 1 17 9 7 18 15 28 4 19 75 27
2012 1 1 22 22 23 23 24 14 4 19 82 43
2012 1 1 17 15 14 21 18 23 4 23 121 30
2012 1 1 22 22 10 23 24 24 4 21 32 25
2012 1 0 21 22 16 22 24 25 6 22 150 69
2012 1 1 25 24 12 21 15 15 8 19 117 72
2012 0 1 11 12 10 14 19 23 23 20 71 23
2012 1 1 19 21 7 24 20 26 4 20 165 13
2012 1 1 24 25 20 26 26 21 8 3 154 61
2012 1 1 17 26 9 24 26 26 6 23 126 43
2012 1 0 22 21 12 22 23 23 4 23 149 51
2012 1 0 17 14 10 20 13 15 7 20 145 67
2012 1 1 26 28 19 20 16 16 4 15 120 36
2012 1 0 20 21 11 18 22 20 4 16 109 44
2012 1 0 19 16 15 18 21 20 4 7 132 45
2012 1 1 21 16 14 25 11 21 10 24 172 34
2012 1 0 24 25 11 28 23 28 6 17 169 36
2012 1 1 21 21 14 23 18 19 5 24 114 72
2012 1 1 19 22 15 20 19 21 5 24 156 39
2012 1 0 13 9 7 22 15 22 4 19 172 43
2012 0 1 24 20 22 27 8 27 4 25 68 25
2012 0 1 28 19 19 24 15 20 5 20 89 56
2012 1 1 27 24 22 23 21 17 5 28 167 80
2012 1 0 22 22 11 20 25 26 5 23 113 40
2012 0 0 23 22 19 22 14 21 5 27 115 73
2012 0 0 19 12 9 21 21 24 4 18 78 34
2012 0 0 18 17 11 24 18 21 6 28 118 72
2012 0 1 23 18 17 26 18 25 4 21 87 42
2012 1 0 21 10 12 24 12 22 4 19 173 61
2012 1 1 22 22 17 18 24 17 4 23 2 23
2012 0 0 17 24 10 17 17 14 9 27 162 74
2012 0 1 15 18 17 23 20 23 18 22 49 16
2012 0 0 21 18 13 21 24 28 6 28 122 66
2012 0 1 20 23 11 21 22 24 5 25 96 9
2012 0 0 26 21 19 24 15 22 4 21 100 41
2012 0 0 19 21 21 22 22 24 11 22 82 57
2012 0 1 28 28 24 24 26 25 4 28 100 48
2012 0 0 21 17 13 24 17 21 10 20 115 51
2012 0 1 19 21 16 24 23 22 6 29 141 53
2012 1 1 22 21 13 23 19 16 8 25 165 29
2012 1 1 21 20 15 21 21 18 8 25 165 29
2012 0 1 20 18 15 24 23 27 6 20 110 55
2012 1 1 19 17 11 19 19 17 8 20 118 54
2012 1 0 11 7 7 19 18 25 4 16 158 43
2012 0 1 17 17 13 23 16 24 4 20 146 51
2012 1 0 19 14 13 25 23 21 9 20 49 20
2012 0 0 20 18 12 24 13 21 9 23 90 79
2012 0 0 17 14 8 21 18 19 5 18 121 39
2012 1 1 21 23 7 18 23 27 4 25 155 61
2012 0 0 21 20 17 23 21 28 4 18 104 55
2012 0 1 12 14 9 20 23 19 15 19 147 30
2012 0 0 23 17 18 23 16 23 10 25 110 55
2012 0 0 22 21 17 23 17 25 9 25 108 22
2012 0 0 22 23 17 23 20 26 7 25 113 37
2012 0 0 21 24 18 23 18 25 9 24 115 2
2012 0 1 20 21 12 27 20 25 6 19 61 38
2012 0 1 18 14 14 19 19 24 4 26 60 27
2012 0 1 21 24 22 25 26 24 7 10 109 56
2012 0 1 24 16 19 25 9 24 4 17 68 25
2012 0 0 22 21 21 21 23 22 7 13 111 39
2012 0 0 20 8 10 25 9 21 4 17 77 33
2012 0 1 17 17 16 17 13 17 15 30 73 43
2012 1 0 19 18 11 22 27 23 4 25 151 57
2012 0 0 16 17 15 23 22 17 9 4 89 43
2012 0 0 19 16 12 27 12 25 4 16 78 23
2012 0 0 23 22 21 27 18 19 4 21 110 44
2012 1 1 8 17 22 5 6 8 28 23 220 54
2012 0 1 22 21 20 19 17 14 4 22 65 28
2012 1 0 23 20 15 24 22 22 4 17 141 36
2012 0 0 15 20 9 23 22 25 4 20 117 39
2012 1 1 17 19 15 28 23 28 5 20 122 16
2012 0 0 21 8 14 25 19 25 4 22 63 23
2012 1 1 25 19 11 27 20 24 4 16 44 40
2012 0 1 18 11 9 16 17 15 12 23 52 24
2012 0 0 20 13 12 25 24 24 4 0 131 78
2012 0 1 21 18 11 26 20 28 6 18 101 57
2012 0 1 21 19 14 24 18 24 6 25 42 37
2012 1 1 24 23 10 23 23 25 5 23 152 27
2012 1 0 22 20 18 24 27 23 4 12 107 61
2012 0 0 22 22 11 27 25 26 4 18 77 27
2012 1 0 23 19 14 25 24 26 4 24 154 69
2012 1 1 17 16 16 19 12 22 10 11 103 34
2012 0 1 15 11 11 19 16 25 7 18 96 44
2012 1 1 22 21 16 24 24 22 4 23 175 34
2012 0 1 19 14 13 20 23 26 7 24 57 39
2012 0 0 18 21 12 21 24 20 4 29 112 51
2012 1 0 21 20 17 28 24 26 4 18 143 34
2012 0 0 20 21 23 26 26 26 12 15 49 31
2012 1 1 19 20 14 19 19 21 5 29 110 13
2012 1 1 19 19 10 23 28 21 8 16 131 12
2012 1 0 16 19 16 23 23 24 6 19 167 51
2012 0 0 18 18 11 21 21 21 17 22 56 24
2012 1 0 23 20 16 26 19 18 4 16 137 19
2012 0 1 22 21 19 25 23 23 5 23 86 30
2012 1 1 23 22 17 25 23 26 4 23 121 81
2012 1 0 20 19 12 24 20 23 5 19 149 42
2012 1 0 24 23 17 23 18 25 5 4 168 22
2012 1 0 25 16 11 22 20 20 6 20 140 85
2012 0 1 25 23 19 27 28 25 4 24 88 27
2012 1 1 20 18 12 26 21 26 4 20 168 25
2012 1 1 23 23 8 23 25 19 4 4 94 22
2012 1 1 21 20 17 22 18 21 6 24 51 19
2012 0 0 23 20 13 26 24 23 8 22 48 14
2012 1 1 23 23 17 22 28 24 10 16 145 45
2012 1 1 11 13 7 17 9 6 4 3 66 45
2012 0 1 21 21 23 25 22 22 5 15 85 28
2012 1 0 27 26 18 22 26 21 4 24 109 51
2012 0 0 19 18 13 28 28 28 4 17 63 41
2012 0 1 21 19 17 22 18 24 4 20 102 31
2012 0 0 16 18 13 21 23 14 16 27 162 74
2012 0 1 21 18 8 24 15 20 7 26 86 19
2012 0 1 22 19 16 26 24 28 4 23 114 51
2012 1 0 16 13 14 26 12 19 4 17 164 73
2012 1 1 18 10 13 24 12 24 14 20 119 24
2012 1 0 23 21 19 27 20 21 5 22 126 61
2012 1 1 24 24 15 22 25 21 5 19 132 23
2012 1 1 20 21 15 23 24 26 5 24 142 14
2012 1 0 20 23 8 22 23 24 5 19 83 54
2012 0 1 18 18 14 23 18 26 7 23 94 51
2012 0 0 4 11 7 15 20 25 19 15 81 62
2012 1 1 14 16 11 20 22 23 16 27 166 36
2012 0 0 22 20 17 22 20 24 4 26 110 59
2012 0 1 17 20 19 25 25 24 4 22 64 24
2012 1 0 23 26 17 27 28 26 7 22 93 26
2012 0 0 20 21 12 24 25 23 9 18 104 54
2012 0 1 18 12 12 21 14 20 5 15 105 39
2012 0 1 19 15 18 17 16 16 14 22 49 16
2012 0 0 20 18 16 26 24 24 4 27 88 36
2012 0 1 15 14 15 20 13 20 16 10 95 31
2012 0 1 24 18 20 22 19 23 10 20 102 31
2012 0 0 21 16 16 24 18 23 5 17 99 42
2012 0 1 19 19 12 23 16 18 6 23 63 39
2012 0 0 19 7 10 22 8 21 4 19 76 25
2012 0 0 27 21 28 28 27 25 4 13 109 31
2012 0 1 23 24 19 21 23 23 4 27 117 38
2012 0 1 23 21 18 24 20 26 5 23 57 31
2012 0 0 20 20 19 28 20 26 4 16 120 17
2012 0 1 17 22 8 25 26 24 4 25 73 22
2012 0 0 21 17 17 24 23 23 5 2 91 55
2012 0 0 23 19 16 24 24 21 4 26 108 62
2012 0 1 22 20 18 21 21 23 4 20 105 51
2012 1 0 16 16 12 20 15 20 5 23 117 30
2012 0 0 20 20 17 26 22 23 8 22 119 49
2012 0 1 16 16 13 16 25 24 15 24 31 16




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time11 seconds
R Server'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=262484&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=262484&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=262484&T=0

As an alternative you can also use a QR Code:  

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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time11 seconds
R Server'George Udny Yule' @ yule.wessa.net







Multiple Linear Regression - Estimated Regression Equation
year[t] = + 2011.83 + 0.122413group[t] -0.0658137gender[t] + 0.00514647AMS.I1[t] + 0.0168677AMS.I2[t] -0.00480902AMS.I3[t] -0.00761262AMS.E1[t] -0.0163826AMS.E2[t] + 0.00215941AMS.E3[t] + 0.0161169AMS.A[t] + 0.0053806NUMERACYTOT[t] -0.00413763LFM[t] + 0.00308258CH[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
year[t] =  +  2011.83 +  0.122413group[t] -0.0658137gender[t] +  0.00514647AMS.I1[t] +  0.0168677AMS.I2[t] -0.00480902AMS.I3[t] -0.00761262AMS.E1[t] -0.0163826AMS.E2[t] +  0.00215941AMS.E3[t] +  0.0161169AMS.A[t] +  0.0053806NUMERACYTOT[t] -0.00413763LFM[t] +  0.00308258CH[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=262484&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]year[t] =  +  2011.83 +  0.122413group[t] -0.0658137gender[t] +  0.00514647AMS.I1[t] +  0.0168677AMS.I2[t] -0.00480902AMS.I3[t] -0.00761262AMS.E1[t] -0.0163826AMS.E2[t] +  0.00215941AMS.E3[t] +  0.0161169AMS.A[t] +  0.0053806NUMERACYTOT[t] -0.00413763LFM[t] +  0.00308258CH[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=262484&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=262484&T=1

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Estimated Regression Equation
year[t] = + 2011.83 + 0.122413group[t] -0.0658137gender[t] + 0.00514647AMS.I1[t] + 0.0168677AMS.I2[t] -0.00480902AMS.I3[t] -0.00761262AMS.E1[t] -0.0163826AMS.E2[t] + 0.00215941AMS.E3[t] + 0.0161169AMS.A[t] + 0.0053806NUMERACYTOT[t] -0.00413763LFM[t] + 0.00308258CH[t] + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)2011.830.370374543200
group0.1224130.06959641.7590.07974890.0398745
gender-0.06581370.0611453-1.0760.282750.141375
AMS.I10.005146470.01183250.43490.6639560.331978
AMS.I20.01686770.01029761.6380.1026050.0513025
AMS.I3-0.004809020.00889184-0.54080.5890750.294538
AMS.E1-0.007612620.0123251-0.61770.5373360.268668
AMS.E2-0.01638260.00835058-1.9620.05082590.0254129
AMS.E30.002159410.0101520.21270.8317190.415859
AMS.A0.01611690.0101031.5950.1118440.055922
NUMERACYTOT0.00538060.005818260.92480.3559230.177961
LFM-0.004137630.000928674-4.4551.23617e-056.18086e-06
CH0.003082580.001716491.7960.07365490.0368275

\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) & 2011.83 & 0.370374 & 5432 & 0 & 0 \tabularnewline
group & 0.122413 & 0.0695964 & 1.759 & 0.0797489 & 0.0398745 \tabularnewline
gender & -0.0658137 & 0.0611453 & -1.076 & 0.28275 & 0.141375 \tabularnewline
AMS.I1 & 0.00514647 & 0.0118325 & 0.4349 & 0.663956 & 0.331978 \tabularnewline
AMS.I2 & 0.0168677 & 0.0102976 & 1.638 & 0.102605 & 0.0513025 \tabularnewline
AMS.I3 & -0.00480902 & 0.00889184 & -0.5408 & 0.589075 & 0.294538 \tabularnewline
AMS.E1 & -0.00761262 & 0.0123251 & -0.6177 & 0.537336 & 0.268668 \tabularnewline
AMS.E2 & -0.0163826 & 0.00835058 & -1.962 & 0.0508259 & 0.0254129 \tabularnewline
AMS.E3 & 0.00215941 & 0.010152 & 0.2127 & 0.831719 & 0.415859 \tabularnewline
AMS.A & 0.0161169 & 0.010103 & 1.595 & 0.111844 & 0.055922 \tabularnewline
NUMERACYTOT & 0.0053806 & 0.00581826 & 0.9248 & 0.355923 & 0.177961 \tabularnewline
LFM & -0.00413763 & 0.000928674 & -4.455 & 1.23617e-05 & 6.18086e-06 \tabularnewline
CH & 0.00308258 & 0.00171649 & 1.796 & 0.0736549 & 0.0368275 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=262484&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]2011.83[/C][C]0.370374[/C][C]5432[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]group[/C][C]0.122413[/C][C]0.0695964[/C][C]1.759[/C][C]0.0797489[/C][C]0.0398745[/C][/ROW]
[ROW][C]gender[/C][C]-0.0658137[/C][C]0.0611453[/C][C]-1.076[/C][C]0.28275[/C][C]0.141375[/C][/ROW]
[ROW][C]AMS.I1[/C][C]0.00514647[/C][C]0.0118325[/C][C]0.4349[/C][C]0.663956[/C][C]0.331978[/C][/ROW]
[ROW][C]AMS.I2[/C][C]0.0168677[/C][C]0.0102976[/C][C]1.638[/C][C]0.102605[/C][C]0.0513025[/C][/ROW]
[ROW][C]AMS.I3[/C][C]-0.00480902[/C][C]0.00889184[/C][C]-0.5408[/C][C]0.589075[/C][C]0.294538[/C][/ROW]
[ROW][C]AMS.E1[/C][C]-0.00761262[/C][C]0.0123251[/C][C]-0.6177[/C][C]0.537336[/C][C]0.268668[/C][/ROW]
[ROW][C]AMS.E2[/C][C]-0.0163826[/C][C]0.00835058[/C][C]-1.962[/C][C]0.0508259[/C][C]0.0254129[/C][/ROW]
[ROW][C]AMS.E3[/C][C]0.00215941[/C][C]0.010152[/C][C]0.2127[/C][C]0.831719[/C][C]0.415859[/C][/ROW]
[ROW][C]AMS.A[/C][C]0.0161169[/C][C]0.010103[/C][C]1.595[/C][C]0.111844[/C][C]0.055922[/C][/ROW]
[ROW][C]NUMERACYTOT[/C][C]0.0053806[/C][C]0.00581826[/C][C]0.9248[/C][C]0.355923[/C][C]0.177961[/C][/ROW]
[ROW][C]LFM[/C][C]-0.00413763[/C][C]0.000928674[/C][C]-4.455[/C][C]1.23617e-05[/C][C]6.18086e-06[/C][/ROW]
[ROW][C]CH[/C][C]0.00308258[/C][C]0.00171649[/C][C]1.796[/C][C]0.0736549[/C][C]0.0368275[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=262484&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=262484&T=2

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)2011.830.370374543200
group0.1224130.06959641.7590.07974890.0398745
gender-0.06581370.0611453-1.0760.282750.141375
AMS.I10.005146470.01183250.43490.6639560.331978
AMS.I20.01686770.01029761.6380.1026050.0513025
AMS.I3-0.004809020.00889184-0.54080.5890750.294538
AMS.E1-0.007612620.0123251-0.61770.5373360.268668
AMS.E2-0.01638260.00835058-1.9620.05082590.0254129
AMS.E30.002159410.0101520.21270.8317190.415859
AMS.A0.01611690.0101031.5950.1118440.055922
NUMERACYTOT0.00538060.005818260.92480.3559230.177961
LFM-0.004137630.000928674-4.4551.23617e-056.18086e-06
CH0.003082580.001716491.7960.07365490.0368275







Multiple Linear Regression - Regression Statistics
Multiple R0.32384
R-squared0.104873
Adjusted R-squared0.0643386
F-TEST (value)2.58727
F-TEST (DF numerator)12
F-TEST (DF denominator)265
p-value0.00288526
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.475292
Sum Squared Residuals59.8641

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.32384 \tabularnewline
R-squared & 0.104873 \tabularnewline
Adjusted R-squared & 0.0643386 \tabularnewline
F-TEST (value) & 2.58727 \tabularnewline
F-TEST (DF numerator) & 12 \tabularnewline
F-TEST (DF denominator) & 265 \tabularnewline
p-value & 0.00288526 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 0.475292 \tabularnewline
Sum Squared Residuals & 59.8641 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=262484&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.32384[/C][/ROW]
[ROW][C]R-squared[/C][C]0.104873[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.0643386[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]2.58727[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]12[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]265[/C][/ROW]
[ROW][C]p-value[/C][C]0.00288526[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]0.475292[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]59.8641[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=262484&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=262484&T=3

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Regression Statistics
Multiple R0.32384
R-squared0.104873
Adjusted R-squared0.0643386
F-TEST (value)2.58727
F-TEST (DF numerator)12
F-TEST (DF denominator)265
p-value0.00288526
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.475292
Sum Squared Residuals59.8641







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
120112011.59-0.58729
220112011.45-0.454886
320112011.52-0.518003
420112011.49-0.493892
520112011.59-0.585959
620112011.18-0.182785
720112011.5-0.499596
820112011.97-0.967339
920112011.51-0.507642
1020112011.56-0.558918
1120112011.39-0.387261
1220112011.46-0.461951
1320112011.47-0.474442
1420112011.52-0.523631
1520112011.87-0.871381
1620112011.63-0.634216
1720112011.43-0.431614
1820112011.6-0.599409
1920112011.45-0.447452
2020112011.68-0.679005
2120112011.52-0.52498
2220112011.47-0.469475
2320112011.25-0.245418
2420112011.34-0.339423
2520112011.6-0.595889
2620112011.07-0.068762
2720112011.48-0.482986
2820112011.74-0.735368
2920112011.54-0.53706
3020112011.43-0.42736
3120112011.67-0.6663
3220112011.66-0.662891
3320112011.52-0.523716
3420112011.29-0.288218
3520112011.65-0.653683
3620112011.74-0.741912
3720112011.43-0.425514
3820112011.35-0.350225
3920112011.51-0.514549
4020112011.43-0.431115
4120112011.62-0.621698
4220112011.54-0.535693
4320112011.47-0.469526
4420112011.17-0.165726
4520112011.58-0.583894
4620112011.41-0.40635
4720112011.77-0.771634
4820112011.61-0.614144
4920112011.66-0.660789
5020112011.62-0.618039
5120112011.41-0.405691
5220112011.73-0.731659
5320112011.48-0.478672
5420112011.32-0.323667
5520112011.63-0.632024
5620112011.63-0.629995
5720112011.46-0.45756
5820112011.56-0.561179
5920112011.55-0.548423
6020112011.63-0.633668
6120112011.63-0.62678
6220112011.43-0.432296
6320112011.79-0.789323
6420112011.28-0.283931
6520112011.47-0.465902
6620112011.7-0.70258
6720112011.46-0.464068
6820112011.38-0.38466
6920112011.2-0.203319
7020112011.53-0.52587
7120112011.52-0.516985
7220112011.47-0.465585
7320112011.84-0.841333
7420112011.67-0.669251
7520112011.41-0.413834
7620112011.55-0.549048
7720112011.5-0.50194
7820112011.6-0.59961
7920112011.5-0.49688
8020112011.62-0.624216
8120112011.59-0.592994
8220112011.42-0.415431
8320112011.74-0.736967
8420112011.44-0.444763
8520112011.58-0.580801
8620112011.66-0.662585
8720112011.58-0.579869
8820112011.68-0.68371
8920112011.64-0.637545
9020112011.42-0.418087
9120112011.67-0.669663
9220112011.45-0.44592
9320112011.47-0.470977
9420112011.69-0.688129
9520112011.57-0.568138
9620112011.43-0.432171
9720112011.49-0.491195
9820112011.58-0.575044
9920112011.49-0.48631
10020112011.49-0.494299
10120112011.61-0.611459
10220112011.55-0.547228
10320112011.38-0.382239
10420112011.43-0.430738
10520112011.6-0.604038
10620112011.63-0.62776
10720112011.67-0.665986
10820112011.58-0.583022
10920112011.74-0.743071
11020112011.7-0.700559
11120112011.51-0.5097
11220112011.42-0.424701
11320122011.90.10461
11420122011.90.0953386
11520122011.520.480747
11620122011.430.565848
11720122011.940.0646068
11820122011.750.248498
11920122011.550.445414
12020122011.670.331243
12120122011.820.178347
12220122011.770.234365
12320122011.720.281414
12420122011.820.178462
12520122011.70.299806
12620122011.560.441231
12720122011.550.454959
12820122011.660.33664
12920122011.540.457654
13020122011.640.360716
13120122011.590.409569
13220122011.570.432234
13320122011.60.402433
13420122011.620.379532
13520122011.710.293612
13620122011.680.320925
13720122011.530.468413
13820122011.930.0746567
13920122011.650.348064
14020122011.960.0449768
14120122011.860.140782
14220122011.380.622977
14320122011.450.550134
14420122011.650.354624
14520122011.590.406688
14620122011.720.281019
14720122011.780.222009
14820122011.730.265554
14920122011.50.498401
15020122011.550.447657
15120122011.510.488035
15220122011.810.190554
15320122011.550.45352
15420122011.360.64382
15520122011.830.167503
15620122011.740.258431
15720122011.630.374123
15820122011.740.26491
15920122011.850.151489
16020122011.580.42492
16120122011.70.297842
16220122011.610.390606
16320122011.480.524554
16420122012.04-0.0433524
16520122011.740.258471
16620122011.860.137923
16720122011.630.370541
16820122011.580.423804
16920122011.730.267345
17020122011.830.166125
17120122011.660.343325
17220122011.690.306536
17320122011.460.543191
17420122011.510.493299
17520122011.460.538152
17620122011.510.487035
17720122011.710.28935
17820122011.330.665895
17920122011.410.58743
18020122011.810.189521
18120122011.970.0346972
18220122011.50.504706
18320122011.640.364018
18420122011.630.36759
18520122011.360.644133
18620122011.770.232053
18720122011.710.28655
18820122011.690.306486
18920122011.640.358281
19020122011.740.255054
19120122011.660.342255
19220122011.490.508053
19320122011.730.271227
19420122011.550.452145
19520122011.660.336716
19620122011.990.0136708
19720122011.490.51247
19820122011.560.444113
19920122011.690.312619
20020122011.610.386127
20120122011.820.182303
20220122011.740.260406
20320122011.520.479259
20420122011.520.475206
20520122011.420.577474
20620122011.550.45199
20720122011.890.109865
20820122011.80.195998
20920122011.320.677443
21020122011.610.393928
21120122011.870.132001
21220122011.510.492427
21320122011.610.387746
21420122011.630.37475
21520122011.560.437458
21620122011.770.230859
21720122011.570.433808
21820122011.310.685487
21920122011.690.314131
22020122011.620.379559
22120122011.440.562808
22220122011.770.227411
22320122011.660.337747
22420122011.380.624843
22520122011.440.559757
22620122011.950.0537119
22720122011.50.500017
22820122011.560.439362
22920122011.720.282561
23020122011.550.449942
23120122011.440.56221
23220122011.730.26997
23320122011.490.511266
23420122011.30.699509
23520122011.570.427455
23620122011.90.0965065
23720122011.770.229532
23820122011.520.480326
23920122011.810.191983
24020122011.510.494594
24120122011.790.208052
24220122011.580.424017
24320122011.540.457094
24420122011.60.395178
24520122011.70.295549
24620122011.460.539105
24720122011.530.467537
24820122011.670.330371
24920122011.710.291711
25020122011.520.484495
25120122011.420.578333
25220122011.920.0849238
25320122011.680.319022
25420122011.850.145637
25520122011.540.463248
25620122011.680.316536
25720122011.540.461533
25820122011.740.257133
25920122011.660.338261
26020122011.50.500594
26120122011.860.141127
26220122011.570.426227
26320122011.690.305631
26420122011.610.394789
26520122011.590.408162
26620122011.80.196741
26720122011.670.329271
26820122011.360.637153
26920122011.550.451362
27020122011.760.243094
27120122011.40.602455
27220122011.580.418543
27320122011.510.485551
27420122011.610.393159
27520122011.570.434344
27620122011.70.29831
27720122011.580.417323
27820122011.860.136854

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 2011 & 2011.59 & -0.58729 \tabularnewline
2 & 2011 & 2011.45 & -0.454886 \tabularnewline
3 & 2011 & 2011.52 & -0.518003 \tabularnewline
4 & 2011 & 2011.49 & -0.493892 \tabularnewline
5 & 2011 & 2011.59 & -0.585959 \tabularnewline
6 & 2011 & 2011.18 & -0.182785 \tabularnewline
7 & 2011 & 2011.5 & -0.499596 \tabularnewline
8 & 2011 & 2011.97 & -0.967339 \tabularnewline
9 & 2011 & 2011.51 & -0.507642 \tabularnewline
10 & 2011 & 2011.56 & -0.558918 \tabularnewline
11 & 2011 & 2011.39 & -0.387261 \tabularnewline
12 & 2011 & 2011.46 & -0.461951 \tabularnewline
13 & 2011 & 2011.47 & -0.474442 \tabularnewline
14 & 2011 & 2011.52 & -0.523631 \tabularnewline
15 & 2011 & 2011.87 & -0.871381 \tabularnewline
16 & 2011 & 2011.63 & -0.634216 \tabularnewline
17 & 2011 & 2011.43 & -0.431614 \tabularnewline
18 & 2011 & 2011.6 & -0.599409 \tabularnewline
19 & 2011 & 2011.45 & -0.447452 \tabularnewline
20 & 2011 & 2011.68 & -0.679005 \tabularnewline
21 & 2011 & 2011.52 & -0.52498 \tabularnewline
22 & 2011 & 2011.47 & -0.469475 \tabularnewline
23 & 2011 & 2011.25 & -0.245418 \tabularnewline
24 & 2011 & 2011.34 & -0.339423 \tabularnewline
25 & 2011 & 2011.6 & -0.595889 \tabularnewline
26 & 2011 & 2011.07 & -0.068762 \tabularnewline
27 & 2011 & 2011.48 & -0.482986 \tabularnewline
28 & 2011 & 2011.74 & -0.735368 \tabularnewline
29 & 2011 & 2011.54 & -0.53706 \tabularnewline
30 & 2011 & 2011.43 & -0.42736 \tabularnewline
31 & 2011 & 2011.67 & -0.6663 \tabularnewline
32 & 2011 & 2011.66 & -0.662891 \tabularnewline
33 & 2011 & 2011.52 & -0.523716 \tabularnewline
34 & 2011 & 2011.29 & -0.288218 \tabularnewline
35 & 2011 & 2011.65 & -0.653683 \tabularnewline
36 & 2011 & 2011.74 & -0.741912 \tabularnewline
37 & 2011 & 2011.43 & -0.425514 \tabularnewline
38 & 2011 & 2011.35 & -0.350225 \tabularnewline
39 & 2011 & 2011.51 & -0.514549 \tabularnewline
40 & 2011 & 2011.43 & -0.431115 \tabularnewline
41 & 2011 & 2011.62 & -0.621698 \tabularnewline
42 & 2011 & 2011.54 & -0.535693 \tabularnewline
43 & 2011 & 2011.47 & -0.469526 \tabularnewline
44 & 2011 & 2011.17 & -0.165726 \tabularnewline
45 & 2011 & 2011.58 & -0.583894 \tabularnewline
46 & 2011 & 2011.41 & -0.40635 \tabularnewline
47 & 2011 & 2011.77 & -0.771634 \tabularnewline
48 & 2011 & 2011.61 & -0.614144 \tabularnewline
49 & 2011 & 2011.66 & -0.660789 \tabularnewline
50 & 2011 & 2011.62 & -0.618039 \tabularnewline
51 & 2011 & 2011.41 & -0.405691 \tabularnewline
52 & 2011 & 2011.73 & -0.731659 \tabularnewline
53 & 2011 & 2011.48 & -0.478672 \tabularnewline
54 & 2011 & 2011.32 & -0.323667 \tabularnewline
55 & 2011 & 2011.63 & -0.632024 \tabularnewline
56 & 2011 & 2011.63 & -0.629995 \tabularnewline
57 & 2011 & 2011.46 & -0.45756 \tabularnewline
58 & 2011 & 2011.56 & -0.561179 \tabularnewline
59 & 2011 & 2011.55 & -0.548423 \tabularnewline
60 & 2011 & 2011.63 & -0.633668 \tabularnewline
61 & 2011 & 2011.63 & -0.62678 \tabularnewline
62 & 2011 & 2011.43 & -0.432296 \tabularnewline
63 & 2011 & 2011.79 & -0.789323 \tabularnewline
64 & 2011 & 2011.28 & -0.283931 \tabularnewline
65 & 2011 & 2011.47 & -0.465902 \tabularnewline
66 & 2011 & 2011.7 & -0.70258 \tabularnewline
67 & 2011 & 2011.46 & -0.464068 \tabularnewline
68 & 2011 & 2011.38 & -0.38466 \tabularnewline
69 & 2011 & 2011.2 & -0.203319 \tabularnewline
70 & 2011 & 2011.53 & -0.52587 \tabularnewline
71 & 2011 & 2011.52 & -0.516985 \tabularnewline
72 & 2011 & 2011.47 & -0.465585 \tabularnewline
73 & 2011 & 2011.84 & -0.841333 \tabularnewline
74 & 2011 & 2011.67 & -0.669251 \tabularnewline
75 & 2011 & 2011.41 & -0.413834 \tabularnewline
76 & 2011 & 2011.55 & -0.549048 \tabularnewline
77 & 2011 & 2011.5 & -0.50194 \tabularnewline
78 & 2011 & 2011.6 & -0.59961 \tabularnewline
79 & 2011 & 2011.5 & -0.49688 \tabularnewline
80 & 2011 & 2011.62 & -0.624216 \tabularnewline
81 & 2011 & 2011.59 & -0.592994 \tabularnewline
82 & 2011 & 2011.42 & -0.415431 \tabularnewline
83 & 2011 & 2011.74 & -0.736967 \tabularnewline
84 & 2011 & 2011.44 & -0.444763 \tabularnewline
85 & 2011 & 2011.58 & -0.580801 \tabularnewline
86 & 2011 & 2011.66 & -0.662585 \tabularnewline
87 & 2011 & 2011.58 & -0.579869 \tabularnewline
88 & 2011 & 2011.68 & -0.68371 \tabularnewline
89 & 2011 & 2011.64 & -0.637545 \tabularnewline
90 & 2011 & 2011.42 & -0.418087 \tabularnewline
91 & 2011 & 2011.67 & -0.669663 \tabularnewline
92 & 2011 & 2011.45 & -0.44592 \tabularnewline
93 & 2011 & 2011.47 & -0.470977 \tabularnewline
94 & 2011 & 2011.69 & -0.688129 \tabularnewline
95 & 2011 & 2011.57 & -0.568138 \tabularnewline
96 & 2011 & 2011.43 & -0.432171 \tabularnewline
97 & 2011 & 2011.49 & -0.491195 \tabularnewline
98 & 2011 & 2011.58 & -0.575044 \tabularnewline
99 & 2011 & 2011.49 & -0.48631 \tabularnewline
100 & 2011 & 2011.49 & -0.494299 \tabularnewline
101 & 2011 & 2011.61 & -0.611459 \tabularnewline
102 & 2011 & 2011.55 & -0.547228 \tabularnewline
103 & 2011 & 2011.38 & -0.382239 \tabularnewline
104 & 2011 & 2011.43 & -0.430738 \tabularnewline
105 & 2011 & 2011.6 & -0.604038 \tabularnewline
106 & 2011 & 2011.63 & -0.62776 \tabularnewline
107 & 2011 & 2011.67 & -0.665986 \tabularnewline
108 & 2011 & 2011.58 & -0.583022 \tabularnewline
109 & 2011 & 2011.74 & -0.743071 \tabularnewline
110 & 2011 & 2011.7 & -0.700559 \tabularnewline
111 & 2011 & 2011.51 & -0.5097 \tabularnewline
112 & 2011 & 2011.42 & -0.424701 \tabularnewline
113 & 2012 & 2011.9 & 0.10461 \tabularnewline
114 & 2012 & 2011.9 & 0.0953386 \tabularnewline
115 & 2012 & 2011.52 & 0.480747 \tabularnewline
116 & 2012 & 2011.43 & 0.565848 \tabularnewline
117 & 2012 & 2011.94 & 0.0646068 \tabularnewline
118 & 2012 & 2011.75 & 0.248498 \tabularnewline
119 & 2012 & 2011.55 & 0.445414 \tabularnewline
120 & 2012 & 2011.67 & 0.331243 \tabularnewline
121 & 2012 & 2011.82 & 0.178347 \tabularnewline
122 & 2012 & 2011.77 & 0.234365 \tabularnewline
123 & 2012 & 2011.72 & 0.281414 \tabularnewline
124 & 2012 & 2011.82 & 0.178462 \tabularnewline
125 & 2012 & 2011.7 & 0.299806 \tabularnewline
126 & 2012 & 2011.56 & 0.441231 \tabularnewline
127 & 2012 & 2011.55 & 0.454959 \tabularnewline
128 & 2012 & 2011.66 & 0.33664 \tabularnewline
129 & 2012 & 2011.54 & 0.457654 \tabularnewline
130 & 2012 & 2011.64 & 0.360716 \tabularnewline
131 & 2012 & 2011.59 & 0.409569 \tabularnewline
132 & 2012 & 2011.57 & 0.432234 \tabularnewline
133 & 2012 & 2011.6 & 0.402433 \tabularnewline
134 & 2012 & 2011.62 & 0.379532 \tabularnewline
135 & 2012 & 2011.71 & 0.293612 \tabularnewline
136 & 2012 & 2011.68 & 0.320925 \tabularnewline
137 & 2012 & 2011.53 & 0.468413 \tabularnewline
138 & 2012 & 2011.93 & 0.0746567 \tabularnewline
139 & 2012 & 2011.65 & 0.348064 \tabularnewline
140 & 2012 & 2011.96 & 0.0449768 \tabularnewline
141 & 2012 & 2011.86 & 0.140782 \tabularnewline
142 & 2012 & 2011.38 & 0.622977 \tabularnewline
143 & 2012 & 2011.45 & 0.550134 \tabularnewline
144 & 2012 & 2011.65 & 0.354624 \tabularnewline
145 & 2012 & 2011.59 & 0.406688 \tabularnewline
146 & 2012 & 2011.72 & 0.281019 \tabularnewline
147 & 2012 & 2011.78 & 0.222009 \tabularnewline
148 & 2012 & 2011.73 & 0.265554 \tabularnewline
149 & 2012 & 2011.5 & 0.498401 \tabularnewline
150 & 2012 & 2011.55 & 0.447657 \tabularnewline
151 & 2012 & 2011.51 & 0.488035 \tabularnewline
152 & 2012 & 2011.81 & 0.190554 \tabularnewline
153 & 2012 & 2011.55 & 0.45352 \tabularnewline
154 & 2012 & 2011.36 & 0.64382 \tabularnewline
155 & 2012 & 2011.83 & 0.167503 \tabularnewline
156 & 2012 & 2011.74 & 0.258431 \tabularnewline
157 & 2012 & 2011.63 & 0.374123 \tabularnewline
158 & 2012 & 2011.74 & 0.26491 \tabularnewline
159 & 2012 & 2011.85 & 0.151489 \tabularnewline
160 & 2012 & 2011.58 & 0.42492 \tabularnewline
161 & 2012 & 2011.7 & 0.297842 \tabularnewline
162 & 2012 & 2011.61 & 0.390606 \tabularnewline
163 & 2012 & 2011.48 & 0.524554 \tabularnewline
164 & 2012 & 2012.04 & -0.0433524 \tabularnewline
165 & 2012 & 2011.74 & 0.258471 \tabularnewline
166 & 2012 & 2011.86 & 0.137923 \tabularnewline
167 & 2012 & 2011.63 & 0.370541 \tabularnewline
168 & 2012 & 2011.58 & 0.423804 \tabularnewline
169 & 2012 & 2011.73 & 0.267345 \tabularnewline
170 & 2012 & 2011.83 & 0.166125 \tabularnewline
171 & 2012 & 2011.66 & 0.343325 \tabularnewline
172 & 2012 & 2011.69 & 0.306536 \tabularnewline
173 & 2012 & 2011.46 & 0.543191 \tabularnewline
174 & 2012 & 2011.51 & 0.493299 \tabularnewline
175 & 2012 & 2011.46 & 0.538152 \tabularnewline
176 & 2012 & 2011.51 & 0.487035 \tabularnewline
177 & 2012 & 2011.71 & 0.28935 \tabularnewline
178 & 2012 & 2011.33 & 0.665895 \tabularnewline
179 & 2012 & 2011.41 & 0.58743 \tabularnewline
180 & 2012 & 2011.81 & 0.189521 \tabularnewline
181 & 2012 & 2011.97 & 0.0346972 \tabularnewline
182 & 2012 & 2011.5 & 0.504706 \tabularnewline
183 & 2012 & 2011.64 & 0.364018 \tabularnewline
184 & 2012 & 2011.63 & 0.36759 \tabularnewline
185 & 2012 & 2011.36 & 0.644133 \tabularnewline
186 & 2012 & 2011.77 & 0.232053 \tabularnewline
187 & 2012 & 2011.71 & 0.28655 \tabularnewline
188 & 2012 & 2011.69 & 0.306486 \tabularnewline
189 & 2012 & 2011.64 & 0.358281 \tabularnewline
190 & 2012 & 2011.74 & 0.255054 \tabularnewline
191 & 2012 & 2011.66 & 0.342255 \tabularnewline
192 & 2012 & 2011.49 & 0.508053 \tabularnewline
193 & 2012 & 2011.73 & 0.271227 \tabularnewline
194 & 2012 & 2011.55 & 0.452145 \tabularnewline
195 & 2012 & 2011.66 & 0.336716 \tabularnewline
196 & 2012 & 2011.99 & 0.0136708 \tabularnewline
197 & 2012 & 2011.49 & 0.51247 \tabularnewline
198 & 2012 & 2011.56 & 0.444113 \tabularnewline
199 & 2012 & 2011.69 & 0.312619 \tabularnewline
200 & 2012 & 2011.61 & 0.386127 \tabularnewline
201 & 2012 & 2011.82 & 0.182303 \tabularnewline
202 & 2012 & 2011.74 & 0.260406 \tabularnewline
203 & 2012 & 2011.52 & 0.479259 \tabularnewline
204 & 2012 & 2011.52 & 0.475206 \tabularnewline
205 & 2012 & 2011.42 & 0.577474 \tabularnewline
206 & 2012 & 2011.55 & 0.45199 \tabularnewline
207 & 2012 & 2011.89 & 0.109865 \tabularnewline
208 & 2012 & 2011.8 & 0.195998 \tabularnewline
209 & 2012 & 2011.32 & 0.677443 \tabularnewline
210 & 2012 & 2011.61 & 0.393928 \tabularnewline
211 & 2012 & 2011.87 & 0.132001 \tabularnewline
212 & 2012 & 2011.51 & 0.492427 \tabularnewline
213 & 2012 & 2011.61 & 0.387746 \tabularnewline
214 & 2012 & 2011.63 & 0.37475 \tabularnewline
215 & 2012 & 2011.56 & 0.437458 \tabularnewline
216 & 2012 & 2011.77 & 0.230859 \tabularnewline
217 & 2012 & 2011.57 & 0.433808 \tabularnewline
218 & 2012 & 2011.31 & 0.685487 \tabularnewline
219 & 2012 & 2011.69 & 0.314131 \tabularnewline
220 & 2012 & 2011.62 & 0.379559 \tabularnewline
221 & 2012 & 2011.44 & 0.562808 \tabularnewline
222 & 2012 & 2011.77 & 0.227411 \tabularnewline
223 & 2012 & 2011.66 & 0.337747 \tabularnewline
224 & 2012 & 2011.38 & 0.624843 \tabularnewline
225 & 2012 & 2011.44 & 0.559757 \tabularnewline
226 & 2012 & 2011.95 & 0.0537119 \tabularnewline
227 & 2012 & 2011.5 & 0.500017 \tabularnewline
228 & 2012 & 2011.56 & 0.439362 \tabularnewline
229 & 2012 & 2011.72 & 0.282561 \tabularnewline
230 & 2012 & 2011.55 & 0.449942 \tabularnewline
231 & 2012 & 2011.44 & 0.56221 \tabularnewline
232 & 2012 & 2011.73 & 0.26997 \tabularnewline
233 & 2012 & 2011.49 & 0.511266 \tabularnewline
234 & 2012 & 2011.3 & 0.699509 \tabularnewline
235 & 2012 & 2011.57 & 0.427455 \tabularnewline
236 & 2012 & 2011.9 & 0.0965065 \tabularnewline
237 & 2012 & 2011.77 & 0.229532 \tabularnewline
238 & 2012 & 2011.52 & 0.480326 \tabularnewline
239 & 2012 & 2011.81 & 0.191983 \tabularnewline
240 & 2012 & 2011.51 & 0.494594 \tabularnewline
241 & 2012 & 2011.79 & 0.208052 \tabularnewline
242 & 2012 & 2011.58 & 0.424017 \tabularnewline
243 & 2012 & 2011.54 & 0.457094 \tabularnewline
244 & 2012 & 2011.6 & 0.395178 \tabularnewline
245 & 2012 & 2011.7 & 0.295549 \tabularnewline
246 & 2012 & 2011.46 & 0.539105 \tabularnewline
247 & 2012 & 2011.53 & 0.467537 \tabularnewline
248 & 2012 & 2011.67 & 0.330371 \tabularnewline
249 & 2012 & 2011.71 & 0.291711 \tabularnewline
250 & 2012 & 2011.52 & 0.484495 \tabularnewline
251 & 2012 & 2011.42 & 0.578333 \tabularnewline
252 & 2012 & 2011.92 & 0.0849238 \tabularnewline
253 & 2012 & 2011.68 & 0.319022 \tabularnewline
254 & 2012 & 2011.85 & 0.145637 \tabularnewline
255 & 2012 & 2011.54 & 0.463248 \tabularnewline
256 & 2012 & 2011.68 & 0.316536 \tabularnewline
257 & 2012 & 2011.54 & 0.461533 \tabularnewline
258 & 2012 & 2011.74 & 0.257133 \tabularnewline
259 & 2012 & 2011.66 & 0.338261 \tabularnewline
260 & 2012 & 2011.5 & 0.500594 \tabularnewline
261 & 2012 & 2011.86 & 0.141127 \tabularnewline
262 & 2012 & 2011.57 & 0.426227 \tabularnewline
263 & 2012 & 2011.69 & 0.305631 \tabularnewline
264 & 2012 & 2011.61 & 0.394789 \tabularnewline
265 & 2012 & 2011.59 & 0.408162 \tabularnewline
266 & 2012 & 2011.8 & 0.196741 \tabularnewline
267 & 2012 & 2011.67 & 0.329271 \tabularnewline
268 & 2012 & 2011.36 & 0.637153 \tabularnewline
269 & 2012 & 2011.55 & 0.451362 \tabularnewline
270 & 2012 & 2011.76 & 0.243094 \tabularnewline
271 & 2012 & 2011.4 & 0.602455 \tabularnewline
272 & 2012 & 2011.58 & 0.418543 \tabularnewline
273 & 2012 & 2011.51 & 0.485551 \tabularnewline
274 & 2012 & 2011.61 & 0.393159 \tabularnewline
275 & 2012 & 2011.57 & 0.434344 \tabularnewline
276 & 2012 & 2011.7 & 0.29831 \tabularnewline
277 & 2012 & 2011.58 & 0.417323 \tabularnewline
278 & 2012 & 2011.86 & 0.136854 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=262484&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]2011[/C][C]2011.59[/C][C]-0.58729[/C][/ROW]
[ROW][C]2[/C][C]2011[/C][C]2011.45[/C][C]-0.454886[/C][/ROW]
[ROW][C]3[/C][C]2011[/C][C]2011.52[/C][C]-0.518003[/C][/ROW]
[ROW][C]4[/C][C]2011[/C][C]2011.49[/C][C]-0.493892[/C][/ROW]
[ROW][C]5[/C][C]2011[/C][C]2011.59[/C][C]-0.585959[/C][/ROW]
[ROW][C]6[/C][C]2011[/C][C]2011.18[/C][C]-0.182785[/C][/ROW]
[ROW][C]7[/C][C]2011[/C][C]2011.5[/C][C]-0.499596[/C][/ROW]
[ROW][C]8[/C][C]2011[/C][C]2011.97[/C][C]-0.967339[/C][/ROW]
[ROW][C]9[/C][C]2011[/C][C]2011.51[/C][C]-0.507642[/C][/ROW]
[ROW][C]10[/C][C]2011[/C][C]2011.56[/C][C]-0.558918[/C][/ROW]
[ROW][C]11[/C][C]2011[/C][C]2011.39[/C][C]-0.387261[/C][/ROW]
[ROW][C]12[/C][C]2011[/C][C]2011.46[/C][C]-0.461951[/C][/ROW]
[ROW][C]13[/C][C]2011[/C][C]2011.47[/C][C]-0.474442[/C][/ROW]
[ROW][C]14[/C][C]2011[/C][C]2011.52[/C][C]-0.523631[/C][/ROW]
[ROW][C]15[/C][C]2011[/C][C]2011.87[/C][C]-0.871381[/C][/ROW]
[ROW][C]16[/C][C]2011[/C][C]2011.63[/C][C]-0.634216[/C][/ROW]
[ROW][C]17[/C][C]2011[/C][C]2011.43[/C][C]-0.431614[/C][/ROW]
[ROW][C]18[/C][C]2011[/C][C]2011.6[/C][C]-0.599409[/C][/ROW]
[ROW][C]19[/C][C]2011[/C][C]2011.45[/C][C]-0.447452[/C][/ROW]
[ROW][C]20[/C][C]2011[/C][C]2011.68[/C][C]-0.679005[/C][/ROW]
[ROW][C]21[/C][C]2011[/C][C]2011.52[/C][C]-0.52498[/C][/ROW]
[ROW][C]22[/C][C]2011[/C][C]2011.47[/C][C]-0.469475[/C][/ROW]
[ROW][C]23[/C][C]2011[/C][C]2011.25[/C][C]-0.245418[/C][/ROW]
[ROW][C]24[/C][C]2011[/C][C]2011.34[/C][C]-0.339423[/C][/ROW]
[ROW][C]25[/C][C]2011[/C][C]2011.6[/C][C]-0.595889[/C][/ROW]
[ROW][C]26[/C][C]2011[/C][C]2011.07[/C][C]-0.068762[/C][/ROW]
[ROW][C]27[/C][C]2011[/C][C]2011.48[/C][C]-0.482986[/C][/ROW]
[ROW][C]28[/C][C]2011[/C][C]2011.74[/C][C]-0.735368[/C][/ROW]
[ROW][C]29[/C][C]2011[/C][C]2011.54[/C][C]-0.53706[/C][/ROW]
[ROW][C]30[/C][C]2011[/C][C]2011.43[/C][C]-0.42736[/C][/ROW]
[ROW][C]31[/C][C]2011[/C][C]2011.67[/C][C]-0.6663[/C][/ROW]
[ROW][C]32[/C][C]2011[/C][C]2011.66[/C][C]-0.662891[/C][/ROW]
[ROW][C]33[/C][C]2011[/C][C]2011.52[/C][C]-0.523716[/C][/ROW]
[ROW][C]34[/C][C]2011[/C][C]2011.29[/C][C]-0.288218[/C][/ROW]
[ROW][C]35[/C][C]2011[/C][C]2011.65[/C][C]-0.653683[/C][/ROW]
[ROW][C]36[/C][C]2011[/C][C]2011.74[/C][C]-0.741912[/C][/ROW]
[ROW][C]37[/C][C]2011[/C][C]2011.43[/C][C]-0.425514[/C][/ROW]
[ROW][C]38[/C][C]2011[/C][C]2011.35[/C][C]-0.350225[/C][/ROW]
[ROW][C]39[/C][C]2011[/C][C]2011.51[/C][C]-0.514549[/C][/ROW]
[ROW][C]40[/C][C]2011[/C][C]2011.43[/C][C]-0.431115[/C][/ROW]
[ROW][C]41[/C][C]2011[/C][C]2011.62[/C][C]-0.621698[/C][/ROW]
[ROW][C]42[/C][C]2011[/C][C]2011.54[/C][C]-0.535693[/C][/ROW]
[ROW][C]43[/C][C]2011[/C][C]2011.47[/C][C]-0.469526[/C][/ROW]
[ROW][C]44[/C][C]2011[/C][C]2011.17[/C][C]-0.165726[/C][/ROW]
[ROW][C]45[/C][C]2011[/C][C]2011.58[/C][C]-0.583894[/C][/ROW]
[ROW][C]46[/C][C]2011[/C][C]2011.41[/C][C]-0.40635[/C][/ROW]
[ROW][C]47[/C][C]2011[/C][C]2011.77[/C][C]-0.771634[/C][/ROW]
[ROW][C]48[/C][C]2011[/C][C]2011.61[/C][C]-0.614144[/C][/ROW]
[ROW][C]49[/C][C]2011[/C][C]2011.66[/C][C]-0.660789[/C][/ROW]
[ROW][C]50[/C][C]2011[/C][C]2011.62[/C][C]-0.618039[/C][/ROW]
[ROW][C]51[/C][C]2011[/C][C]2011.41[/C][C]-0.405691[/C][/ROW]
[ROW][C]52[/C][C]2011[/C][C]2011.73[/C][C]-0.731659[/C][/ROW]
[ROW][C]53[/C][C]2011[/C][C]2011.48[/C][C]-0.478672[/C][/ROW]
[ROW][C]54[/C][C]2011[/C][C]2011.32[/C][C]-0.323667[/C][/ROW]
[ROW][C]55[/C][C]2011[/C][C]2011.63[/C][C]-0.632024[/C][/ROW]
[ROW][C]56[/C][C]2011[/C][C]2011.63[/C][C]-0.629995[/C][/ROW]
[ROW][C]57[/C][C]2011[/C][C]2011.46[/C][C]-0.45756[/C][/ROW]
[ROW][C]58[/C][C]2011[/C][C]2011.56[/C][C]-0.561179[/C][/ROW]
[ROW][C]59[/C][C]2011[/C][C]2011.55[/C][C]-0.548423[/C][/ROW]
[ROW][C]60[/C][C]2011[/C][C]2011.63[/C][C]-0.633668[/C][/ROW]
[ROW][C]61[/C][C]2011[/C][C]2011.63[/C][C]-0.62678[/C][/ROW]
[ROW][C]62[/C][C]2011[/C][C]2011.43[/C][C]-0.432296[/C][/ROW]
[ROW][C]63[/C][C]2011[/C][C]2011.79[/C][C]-0.789323[/C][/ROW]
[ROW][C]64[/C][C]2011[/C][C]2011.28[/C][C]-0.283931[/C][/ROW]
[ROW][C]65[/C][C]2011[/C][C]2011.47[/C][C]-0.465902[/C][/ROW]
[ROW][C]66[/C][C]2011[/C][C]2011.7[/C][C]-0.70258[/C][/ROW]
[ROW][C]67[/C][C]2011[/C][C]2011.46[/C][C]-0.464068[/C][/ROW]
[ROW][C]68[/C][C]2011[/C][C]2011.38[/C][C]-0.38466[/C][/ROW]
[ROW][C]69[/C][C]2011[/C][C]2011.2[/C][C]-0.203319[/C][/ROW]
[ROW][C]70[/C][C]2011[/C][C]2011.53[/C][C]-0.52587[/C][/ROW]
[ROW][C]71[/C][C]2011[/C][C]2011.52[/C][C]-0.516985[/C][/ROW]
[ROW][C]72[/C][C]2011[/C][C]2011.47[/C][C]-0.465585[/C][/ROW]
[ROW][C]73[/C][C]2011[/C][C]2011.84[/C][C]-0.841333[/C][/ROW]
[ROW][C]74[/C][C]2011[/C][C]2011.67[/C][C]-0.669251[/C][/ROW]
[ROW][C]75[/C][C]2011[/C][C]2011.41[/C][C]-0.413834[/C][/ROW]
[ROW][C]76[/C][C]2011[/C][C]2011.55[/C][C]-0.549048[/C][/ROW]
[ROW][C]77[/C][C]2011[/C][C]2011.5[/C][C]-0.50194[/C][/ROW]
[ROW][C]78[/C][C]2011[/C][C]2011.6[/C][C]-0.59961[/C][/ROW]
[ROW][C]79[/C][C]2011[/C][C]2011.5[/C][C]-0.49688[/C][/ROW]
[ROW][C]80[/C][C]2011[/C][C]2011.62[/C][C]-0.624216[/C][/ROW]
[ROW][C]81[/C][C]2011[/C][C]2011.59[/C][C]-0.592994[/C][/ROW]
[ROW][C]82[/C][C]2011[/C][C]2011.42[/C][C]-0.415431[/C][/ROW]
[ROW][C]83[/C][C]2011[/C][C]2011.74[/C][C]-0.736967[/C][/ROW]
[ROW][C]84[/C][C]2011[/C][C]2011.44[/C][C]-0.444763[/C][/ROW]
[ROW][C]85[/C][C]2011[/C][C]2011.58[/C][C]-0.580801[/C][/ROW]
[ROW][C]86[/C][C]2011[/C][C]2011.66[/C][C]-0.662585[/C][/ROW]
[ROW][C]87[/C][C]2011[/C][C]2011.58[/C][C]-0.579869[/C][/ROW]
[ROW][C]88[/C][C]2011[/C][C]2011.68[/C][C]-0.68371[/C][/ROW]
[ROW][C]89[/C][C]2011[/C][C]2011.64[/C][C]-0.637545[/C][/ROW]
[ROW][C]90[/C][C]2011[/C][C]2011.42[/C][C]-0.418087[/C][/ROW]
[ROW][C]91[/C][C]2011[/C][C]2011.67[/C][C]-0.669663[/C][/ROW]
[ROW][C]92[/C][C]2011[/C][C]2011.45[/C][C]-0.44592[/C][/ROW]
[ROW][C]93[/C][C]2011[/C][C]2011.47[/C][C]-0.470977[/C][/ROW]
[ROW][C]94[/C][C]2011[/C][C]2011.69[/C][C]-0.688129[/C][/ROW]
[ROW][C]95[/C][C]2011[/C][C]2011.57[/C][C]-0.568138[/C][/ROW]
[ROW][C]96[/C][C]2011[/C][C]2011.43[/C][C]-0.432171[/C][/ROW]
[ROW][C]97[/C][C]2011[/C][C]2011.49[/C][C]-0.491195[/C][/ROW]
[ROW][C]98[/C][C]2011[/C][C]2011.58[/C][C]-0.575044[/C][/ROW]
[ROW][C]99[/C][C]2011[/C][C]2011.49[/C][C]-0.48631[/C][/ROW]
[ROW][C]100[/C][C]2011[/C][C]2011.49[/C][C]-0.494299[/C][/ROW]
[ROW][C]101[/C][C]2011[/C][C]2011.61[/C][C]-0.611459[/C][/ROW]
[ROW][C]102[/C][C]2011[/C][C]2011.55[/C][C]-0.547228[/C][/ROW]
[ROW][C]103[/C][C]2011[/C][C]2011.38[/C][C]-0.382239[/C][/ROW]
[ROW][C]104[/C][C]2011[/C][C]2011.43[/C][C]-0.430738[/C][/ROW]
[ROW][C]105[/C][C]2011[/C][C]2011.6[/C][C]-0.604038[/C][/ROW]
[ROW][C]106[/C][C]2011[/C][C]2011.63[/C][C]-0.62776[/C][/ROW]
[ROW][C]107[/C][C]2011[/C][C]2011.67[/C][C]-0.665986[/C][/ROW]
[ROW][C]108[/C][C]2011[/C][C]2011.58[/C][C]-0.583022[/C][/ROW]
[ROW][C]109[/C][C]2011[/C][C]2011.74[/C][C]-0.743071[/C][/ROW]
[ROW][C]110[/C][C]2011[/C][C]2011.7[/C][C]-0.700559[/C][/ROW]
[ROW][C]111[/C][C]2011[/C][C]2011.51[/C][C]-0.5097[/C][/ROW]
[ROW][C]112[/C][C]2011[/C][C]2011.42[/C][C]-0.424701[/C][/ROW]
[ROW][C]113[/C][C]2012[/C][C]2011.9[/C][C]0.10461[/C][/ROW]
[ROW][C]114[/C][C]2012[/C][C]2011.9[/C][C]0.0953386[/C][/ROW]
[ROW][C]115[/C][C]2012[/C][C]2011.52[/C][C]0.480747[/C][/ROW]
[ROW][C]116[/C][C]2012[/C][C]2011.43[/C][C]0.565848[/C][/ROW]
[ROW][C]117[/C][C]2012[/C][C]2011.94[/C][C]0.0646068[/C][/ROW]
[ROW][C]118[/C][C]2012[/C][C]2011.75[/C][C]0.248498[/C][/ROW]
[ROW][C]119[/C][C]2012[/C][C]2011.55[/C][C]0.445414[/C][/ROW]
[ROW][C]120[/C][C]2012[/C][C]2011.67[/C][C]0.331243[/C][/ROW]
[ROW][C]121[/C][C]2012[/C][C]2011.82[/C][C]0.178347[/C][/ROW]
[ROW][C]122[/C][C]2012[/C][C]2011.77[/C][C]0.234365[/C][/ROW]
[ROW][C]123[/C][C]2012[/C][C]2011.72[/C][C]0.281414[/C][/ROW]
[ROW][C]124[/C][C]2012[/C][C]2011.82[/C][C]0.178462[/C][/ROW]
[ROW][C]125[/C][C]2012[/C][C]2011.7[/C][C]0.299806[/C][/ROW]
[ROW][C]126[/C][C]2012[/C][C]2011.56[/C][C]0.441231[/C][/ROW]
[ROW][C]127[/C][C]2012[/C][C]2011.55[/C][C]0.454959[/C][/ROW]
[ROW][C]128[/C][C]2012[/C][C]2011.66[/C][C]0.33664[/C][/ROW]
[ROW][C]129[/C][C]2012[/C][C]2011.54[/C][C]0.457654[/C][/ROW]
[ROW][C]130[/C][C]2012[/C][C]2011.64[/C][C]0.360716[/C][/ROW]
[ROW][C]131[/C][C]2012[/C][C]2011.59[/C][C]0.409569[/C][/ROW]
[ROW][C]132[/C][C]2012[/C][C]2011.57[/C][C]0.432234[/C][/ROW]
[ROW][C]133[/C][C]2012[/C][C]2011.6[/C][C]0.402433[/C][/ROW]
[ROW][C]134[/C][C]2012[/C][C]2011.62[/C][C]0.379532[/C][/ROW]
[ROW][C]135[/C][C]2012[/C][C]2011.71[/C][C]0.293612[/C][/ROW]
[ROW][C]136[/C][C]2012[/C][C]2011.68[/C][C]0.320925[/C][/ROW]
[ROW][C]137[/C][C]2012[/C][C]2011.53[/C][C]0.468413[/C][/ROW]
[ROW][C]138[/C][C]2012[/C][C]2011.93[/C][C]0.0746567[/C][/ROW]
[ROW][C]139[/C][C]2012[/C][C]2011.65[/C][C]0.348064[/C][/ROW]
[ROW][C]140[/C][C]2012[/C][C]2011.96[/C][C]0.0449768[/C][/ROW]
[ROW][C]141[/C][C]2012[/C][C]2011.86[/C][C]0.140782[/C][/ROW]
[ROW][C]142[/C][C]2012[/C][C]2011.38[/C][C]0.622977[/C][/ROW]
[ROW][C]143[/C][C]2012[/C][C]2011.45[/C][C]0.550134[/C][/ROW]
[ROW][C]144[/C][C]2012[/C][C]2011.65[/C][C]0.354624[/C][/ROW]
[ROW][C]145[/C][C]2012[/C][C]2011.59[/C][C]0.406688[/C][/ROW]
[ROW][C]146[/C][C]2012[/C][C]2011.72[/C][C]0.281019[/C][/ROW]
[ROW][C]147[/C][C]2012[/C][C]2011.78[/C][C]0.222009[/C][/ROW]
[ROW][C]148[/C][C]2012[/C][C]2011.73[/C][C]0.265554[/C][/ROW]
[ROW][C]149[/C][C]2012[/C][C]2011.5[/C][C]0.498401[/C][/ROW]
[ROW][C]150[/C][C]2012[/C][C]2011.55[/C][C]0.447657[/C][/ROW]
[ROW][C]151[/C][C]2012[/C][C]2011.51[/C][C]0.488035[/C][/ROW]
[ROW][C]152[/C][C]2012[/C][C]2011.81[/C][C]0.190554[/C][/ROW]
[ROW][C]153[/C][C]2012[/C][C]2011.55[/C][C]0.45352[/C][/ROW]
[ROW][C]154[/C][C]2012[/C][C]2011.36[/C][C]0.64382[/C][/ROW]
[ROW][C]155[/C][C]2012[/C][C]2011.83[/C][C]0.167503[/C][/ROW]
[ROW][C]156[/C][C]2012[/C][C]2011.74[/C][C]0.258431[/C][/ROW]
[ROW][C]157[/C][C]2012[/C][C]2011.63[/C][C]0.374123[/C][/ROW]
[ROW][C]158[/C][C]2012[/C][C]2011.74[/C][C]0.26491[/C][/ROW]
[ROW][C]159[/C][C]2012[/C][C]2011.85[/C][C]0.151489[/C][/ROW]
[ROW][C]160[/C][C]2012[/C][C]2011.58[/C][C]0.42492[/C][/ROW]
[ROW][C]161[/C][C]2012[/C][C]2011.7[/C][C]0.297842[/C][/ROW]
[ROW][C]162[/C][C]2012[/C][C]2011.61[/C][C]0.390606[/C][/ROW]
[ROW][C]163[/C][C]2012[/C][C]2011.48[/C][C]0.524554[/C][/ROW]
[ROW][C]164[/C][C]2012[/C][C]2012.04[/C][C]-0.0433524[/C][/ROW]
[ROW][C]165[/C][C]2012[/C][C]2011.74[/C][C]0.258471[/C][/ROW]
[ROW][C]166[/C][C]2012[/C][C]2011.86[/C][C]0.137923[/C][/ROW]
[ROW][C]167[/C][C]2012[/C][C]2011.63[/C][C]0.370541[/C][/ROW]
[ROW][C]168[/C][C]2012[/C][C]2011.58[/C][C]0.423804[/C][/ROW]
[ROW][C]169[/C][C]2012[/C][C]2011.73[/C][C]0.267345[/C][/ROW]
[ROW][C]170[/C][C]2012[/C][C]2011.83[/C][C]0.166125[/C][/ROW]
[ROW][C]171[/C][C]2012[/C][C]2011.66[/C][C]0.343325[/C][/ROW]
[ROW][C]172[/C][C]2012[/C][C]2011.69[/C][C]0.306536[/C][/ROW]
[ROW][C]173[/C][C]2012[/C][C]2011.46[/C][C]0.543191[/C][/ROW]
[ROW][C]174[/C][C]2012[/C][C]2011.51[/C][C]0.493299[/C][/ROW]
[ROW][C]175[/C][C]2012[/C][C]2011.46[/C][C]0.538152[/C][/ROW]
[ROW][C]176[/C][C]2012[/C][C]2011.51[/C][C]0.487035[/C][/ROW]
[ROW][C]177[/C][C]2012[/C][C]2011.71[/C][C]0.28935[/C][/ROW]
[ROW][C]178[/C][C]2012[/C][C]2011.33[/C][C]0.665895[/C][/ROW]
[ROW][C]179[/C][C]2012[/C][C]2011.41[/C][C]0.58743[/C][/ROW]
[ROW][C]180[/C][C]2012[/C][C]2011.81[/C][C]0.189521[/C][/ROW]
[ROW][C]181[/C][C]2012[/C][C]2011.97[/C][C]0.0346972[/C][/ROW]
[ROW][C]182[/C][C]2012[/C][C]2011.5[/C][C]0.504706[/C][/ROW]
[ROW][C]183[/C][C]2012[/C][C]2011.64[/C][C]0.364018[/C][/ROW]
[ROW][C]184[/C][C]2012[/C][C]2011.63[/C][C]0.36759[/C][/ROW]
[ROW][C]185[/C][C]2012[/C][C]2011.36[/C][C]0.644133[/C][/ROW]
[ROW][C]186[/C][C]2012[/C][C]2011.77[/C][C]0.232053[/C][/ROW]
[ROW][C]187[/C][C]2012[/C][C]2011.71[/C][C]0.28655[/C][/ROW]
[ROW][C]188[/C][C]2012[/C][C]2011.69[/C][C]0.306486[/C][/ROW]
[ROW][C]189[/C][C]2012[/C][C]2011.64[/C][C]0.358281[/C][/ROW]
[ROW][C]190[/C][C]2012[/C][C]2011.74[/C][C]0.255054[/C][/ROW]
[ROW][C]191[/C][C]2012[/C][C]2011.66[/C][C]0.342255[/C][/ROW]
[ROW][C]192[/C][C]2012[/C][C]2011.49[/C][C]0.508053[/C][/ROW]
[ROW][C]193[/C][C]2012[/C][C]2011.73[/C][C]0.271227[/C][/ROW]
[ROW][C]194[/C][C]2012[/C][C]2011.55[/C][C]0.452145[/C][/ROW]
[ROW][C]195[/C][C]2012[/C][C]2011.66[/C][C]0.336716[/C][/ROW]
[ROW][C]196[/C][C]2012[/C][C]2011.99[/C][C]0.0136708[/C][/ROW]
[ROW][C]197[/C][C]2012[/C][C]2011.49[/C][C]0.51247[/C][/ROW]
[ROW][C]198[/C][C]2012[/C][C]2011.56[/C][C]0.444113[/C][/ROW]
[ROW][C]199[/C][C]2012[/C][C]2011.69[/C][C]0.312619[/C][/ROW]
[ROW][C]200[/C][C]2012[/C][C]2011.61[/C][C]0.386127[/C][/ROW]
[ROW][C]201[/C][C]2012[/C][C]2011.82[/C][C]0.182303[/C][/ROW]
[ROW][C]202[/C][C]2012[/C][C]2011.74[/C][C]0.260406[/C][/ROW]
[ROW][C]203[/C][C]2012[/C][C]2011.52[/C][C]0.479259[/C][/ROW]
[ROW][C]204[/C][C]2012[/C][C]2011.52[/C][C]0.475206[/C][/ROW]
[ROW][C]205[/C][C]2012[/C][C]2011.42[/C][C]0.577474[/C][/ROW]
[ROW][C]206[/C][C]2012[/C][C]2011.55[/C][C]0.45199[/C][/ROW]
[ROW][C]207[/C][C]2012[/C][C]2011.89[/C][C]0.109865[/C][/ROW]
[ROW][C]208[/C][C]2012[/C][C]2011.8[/C][C]0.195998[/C][/ROW]
[ROW][C]209[/C][C]2012[/C][C]2011.32[/C][C]0.677443[/C][/ROW]
[ROW][C]210[/C][C]2012[/C][C]2011.61[/C][C]0.393928[/C][/ROW]
[ROW][C]211[/C][C]2012[/C][C]2011.87[/C][C]0.132001[/C][/ROW]
[ROW][C]212[/C][C]2012[/C][C]2011.51[/C][C]0.492427[/C][/ROW]
[ROW][C]213[/C][C]2012[/C][C]2011.61[/C][C]0.387746[/C][/ROW]
[ROW][C]214[/C][C]2012[/C][C]2011.63[/C][C]0.37475[/C][/ROW]
[ROW][C]215[/C][C]2012[/C][C]2011.56[/C][C]0.437458[/C][/ROW]
[ROW][C]216[/C][C]2012[/C][C]2011.77[/C][C]0.230859[/C][/ROW]
[ROW][C]217[/C][C]2012[/C][C]2011.57[/C][C]0.433808[/C][/ROW]
[ROW][C]218[/C][C]2012[/C][C]2011.31[/C][C]0.685487[/C][/ROW]
[ROW][C]219[/C][C]2012[/C][C]2011.69[/C][C]0.314131[/C][/ROW]
[ROW][C]220[/C][C]2012[/C][C]2011.62[/C][C]0.379559[/C][/ROW]
[ROW][C]221[/C][C]2012[/C][C]2011.44[/C][C]0.562808[/C][/ROW]
[ROW][C]222[/C][C]2012[/C][C]2011.77[/C][C]0.227411[/C][/ROW]
[ROW][C]223[/C][C]2012[/C][C]2011.66[/C][C]0.337747[/C][/ROW]
[ROW][C]224[/C][C]2012[/C][C]2011.38[/C][C]0.624843[/C][/ROW]
[ROW][C]225[/C][C]2012[/C][C]2011.44[/C][C]0.559757[/C][/ROW]
[ROW][C]226[/C][C]2012[/C][C]2011.95[/C][C]0.0537119[/C][/ROW]
[ROW][C]227[/C][C]2012[/C][C]2011.5[/C][C]0.500017[/C][/ROW]
[ROW][C]228[/C][C]2012[/C][C]2011.56[/C][C]0.439362[/C][/ROW]
[ROW][C]229[/C][C]2012[/C][C]2011.72[/C][C]0.282561[/C][/ROW]
[ROW][C]230[/C][C]2012[/C][C]2011.55[/C][C]0.449942[/C][/ROW]
[ROW][C]231[/C][C]2012[/C][C]2011.44[/C][C]0.56221[/C][/ROW]
[ROW][C]232[/C][C]2012[/C][C]2011.73[/C][C]0.26997[/C][/ROW]
[ROW][C]233[/C][C]2012[/C][C]2011.49[/C][C]0.511266[/C][/ROW]
[ROW][C]234[/C][C]2012[/C][C]2011.3[/C][C]0.699509[/C][/ROW]
[ROW][C]235[/C][C]2012[/C][C]2011.57[/C][C]0.427455[/C][/ROW]
[ROW][C]236[/C][C]2012[/C][C]2011.9[/C][C]0.0965065[/C][/ROW]
[ROW][C]237[/C][C]2012[/C][C]2011.77[/C][C]0.229532[/C][/ROW]
[ROW][C]238[/C][C]2012[/C][C]2011.52[/C][C]0.480326[/C][/ROW]
[ROW][C]239[/C][C]2012[/C][C]2011.81[/C][C]0.191983[/C][/ROW]
[ROW][C]240[/C][C]2012[/C][C]2011.51[/C][C]0.494594[/C][/ROW]
[ROW][C]241[/C][C]2012[/C][C]2011.79[/C][C]0.208052[/C][/ROW]
[ROW][C]242[/C][C]2012[/C][C]2011.58[/C][C]0.424017[/C][/ROW]
[ROW][C]243[/C][C]2012[/C][C]2011.54[/C][C]0.457094[/C][/ROW]
[ROW][C]244[/C][C]2012[/C][C]2011.6[/C][C]0.395178[/C][/ROW]
[ROW][C]245[/C][C]2012[/C][C]2011.7[/C][C]0.295549[/C][/ROW]
[ROW][C]246[/C][C]2012[/C][C]2011.46[/C][C]0.539105[/C][/ROW]
[ROW][C]247[/C][C]2012[/C][C]2011.53[/C][C]0.467537[/C][/ROW]
[ROW][C]248[/C][C]2012[/C][C]2011.67[/C][C]0.330371[/C][/ROW]
[ROW][C]249[/C][C]2012[/C][C]2011.71[/C][C]0.291711[/C][/ROW]
[ROW][C]250[/C][C]2012[/C][C]2011.52[/C][C]0.484495[/C][/ROW]
[ROW][C]251[/C][C]2012[/C][C]2011.42[/C][C]0.578333[/C][/ROW]
[ROW][C]252[/C][C]2012[/C][C]2011.92[/C][C]0.0849238[/C][/ROW]
[ROW][C]253[/C][C]2012[/C][C]2011.68[/C][C]0.319022[/C][/ROW]
[ROW][C]254[/C][C]2012[/C][C]2011.85[/C][C]0.145637[/C][/ROW]
[ROW][C]255[/C][C]2012[/C][C]2011.54[/C][C]0.463248[/C][/ROW]
[ROW][C]256[/C][C]2012[/C][C]2011.68[/C][C]0.316536[/C][/ROW]
[ROW][C]257[/C][C]2012[/C][C]2011.54[/C][C]0.461533[/C][/ROW]
[ROW][C]258[/C][C]2012[/C][C]2011.74[/C][C]0.257133[/C][/ROW]
[ROW][C]259[/C][C]2012[/C][C]2011.66[/C][C]0.338261[/C][/ROW]
[ROW][C]260[/C][C]2012[/C][C]2011.5[/C][C]0.500594[/C][/ROW]
[ROW][C]261[/C][C]2012[/C][C]2011.86[/C][C]0.141127[/C][/ROW]
[ROW][C]262[/C][C]2012[/C][C]2011.57[/C][C]0.426227[/C][/ROW]
[ROW][C]263[/C][C]2012[/C][C]2011.69[/C][C]0.305631[/C][/ROW]
[ROW][C]264[/C][C]2012[/C][C]2011.61[/C][C]0.394789[/C][/ROW]
[ROW][C]265[/C][C]2012[/C][C]2011.59[/C][C]0.408162[/C][/ROW]
[ROW][C]266[/C][C]2012[/C][C]2011.8[/C][C]0.196741[/C][/ROW]
[ROW][C]267[/C][C]2012[/C][C]2011.67[/C][C]0.329271[/C][/ROW]
[ROW][C]268[/C][C]2012[/C][C]2011.36[/C][C]0.637153[/C][/ROW]
[ROW][C]269[/C][C]2012[/C][C]2011.55[/C][C]0.451362[/C][/ROW]
[ROW][C]270[/C][C]2012[/C][C]2011.76[/C][C]0.243094[/C][/ROW]
[ROW][C]271[/C][C]2012[/C][C]2011.4[/C][C]0.602455[/C][/ROW]
[ROW][C]272[/C][C]2012[/C][C]2011.58[/C][C]0.418543[/C][/ROW]
[ROW][C]273[/C][C]2012[/C][C]2011.51[/C][C]0.485551[/C][/ROW]
[ROW][C]274[/C][C]2012[/C][C]2011.61[/C][C]0.393159[/C][/ROW]
[ROW][C]275[/C][C]2012[/C][C]2011.57[/C][C]0.434344[/C][/ROW]
[ROW][C]276[/C][C]2012[/C][C]2011.7[/C][C]0.29831[/C][/ROW]
[ROW][C]277[/C][C]2012[/C][C]2011.58[/C][C]0.417323[/C][/ROW]
[ROW][C]278[/C][C]2012[/C][C]2011.86[/C][C]0.136854[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=262484&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=262484&T=4

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
120112011.59-0.58729
220112011.45-0.454886
320112011.52-0.518003
420112011.49-0.493892
520112011.59-0.585959
620112011.18-0.182785
720112011.5-0.499596
820112011.97-0.967339
920112011.51-0.507642
1020112011.56-0.558918
1120112011.39-0.387261
1220112011.46-0.461951
1320112011.47-0.474442
1420112011.52-0.523631
1520112011.87-0.871381
1620112011.63-0.634216
1720112011.43-0.431614
1820112011.6-0.599409
1920112011.45-0.447452
2020112011.68-0.679005
2120112011.52-0.52498
2220112011.47-0.469475
2320112011.25-0.245418
2420112011.34-0.339423
2520112011.6-0.595889
2620112011.07-0.068762
2720112011.48-0.482986
2820112011.74-0.735368
2920112011.54-0.53706
3020112011.43-0.42736
3120112011.67-0.6663
3220112011.66-0.662891
3320112011.52-0.523716
3420112011.29-0.288218
3520112011.65-0.653683
3620112011.74-0.741912
3720112011.43-0.425514
3820112011.35-0.350225
3920112011.51-0.514549
4020112011.43-0.431115
4120112011.62-0.621698
4220112011.54-0.535693
4320112011.47-0.469526
4420112011.17-0.165726
4520112011.58-0.583894
4620112011.41-0.40635
4720112011.77-0.771634
4820112011.61-0.614144
4920112011.66-0.660789
5020112011.62-0.618039
5120112011.41-0.405691
5220112011.73-0.731659
5320112011.48-0.478672
5420112011.32-0.323667
5520112011.63-0.632024
5620112011.63-0.629995
5720112011.46-0.45756
5820112011.56-0.561179
5920112011.55-0.548423
6020112011.63-0.633668
6120112011.63-0.62678
6220112011.43-0.432296
6320112011.79-0.789323
6420112011.28-0.283931
6520112011.47-0.465902
6620112011.7-0.70258
6720112011.46-0.464068
6820112011.38-0.38466
6920112011.2-0.203319
7020112011.53-0.52587
7120112011.52-0.516985
7220112011.47-0.465585
7320112011.84-0.841333
7420112011.67-0.669251
7520112011.41-0.413834
7620112011.55-0.549048
7720112011.5-0.50194
7820112011.6-0.59961
7920112011.5-0.49688
8020112011.62-0.624216
8120112011.59-0.592994
8220112011.42-0.415431
8320112011.74-0.736967
8420112011.44-0.444763
8520112011.58-0.580801
8620112011.66-0.662585
8720112011.58-0.579869
8820112011.68-0.68371
8920112011.64-0.637545
9020112011.42-0.418087
9120112011.67-0.669663
9220112011.45-0.44592
9320112011.47-0.470977
9420112011.69-0.688129
9520112011.57-0.568138
9620112011.43-0.432171
9720112011.49-0.491195
9820112011.58-0.575044
9920112011.49-0.48631
10020112011.49-0.494299
10120112011.61-0.611459
10220112011.55-0.547228
10320112011.38-0.382239
10420112011.43-0.430738
10520112011.6-0.604038
10620112011.63-0.62776
10720112011.67-0.665986
10820112011.58-0.583022
10920112011.74-0.743071
11020112011.7-0.700559
11120112011.51-0.5097
11220112011.42-0.424701
11320122011.90.10461
11420122011.90.0953386
11520122011.520.480747
11620122011.430.565848
11720122011.940.0646068
11820122011.750.248498
11920122011.550.445414
12020122011.670.331243
12120122011.820.178347
12220122011.770.234365
12320122011.720.281414
12420122011.820.178462
12520122011.70.299806
12620122011.560.441231
12720122011.550.454959
12820122011.660.33664
12920122011.540.457654
13020122011.640.360716
13120122011.590.409569
13220122011.570.432234
13320122011.60.402433
13420122011.620.379532
13520122011.710.293612
13620122011.680.320925
13720122011.530.468413
13820122011.930.0746567
13920122011.650.348064
14020122011.960.0449768
14120122011.860.140782
14220122011.380.622977
14320122011.450.550134
14420122011.650.354624
14520122011.590.406688
14620122011.720.281019
14720122011.780.222009
14820122011.730.265554
14920122011.50.498401
15020122011.550.447657
15120122011.510.488035
15220122011.810.190554
15320122011.550.45352
15420122011.360.64382
15520122011.830.167503
15620122011.740.258431
15720122011.630.374123
15820122011.740.26491
15920122011.850.151489
16020122011.580.42492
16120122011.70.297842
16220122011.610.390606
16320122011.480.524554
16420122012.04-0.0433524
16520122011.740.258471
16620122011.860.137923
16720122011.630.370541
16820122011.580.423804
16920122011.730.267345
17020122011.830.166125
17120122011.660.343325
17220122011.690.306536
17320122011.460.543191
17420122011.510.493299
17520122011.460.538152
17620122011.510.487035
17720122011.710.28935
17820122011.330.665895
17920122011.410.58743
18020122011.810.189521
18120122011.970.0346972
18220122011.50.504706
18320122011.640.364018
18420122011.630.36759
18520122011.360.644133
18620122011.770.232053
18720122011.710.28655
18820122011.690.306486
18920122011.640.358281
19020122011.740.255054
19120122011.660.342255
19220122011.490.508053
19320122011.730.271227
19420122011.550.452145
19520122011.660.336716
19620122011.990.0136708
19720122011.490.51247
19820122011.560.444113
19920122011.690.312619
20020122011.610.386127
20120122011.820.182303
20220122011.740.260406
20320122011.520.479259
20420122011.520.475206
20520122011.420.577474
20620122011.550.45199
20720122011.890.109865
20820122011.80.195998
20920122011.320.677443
21020122011.610.393928
21120122011.870.132001
21220122011.510.492427
21320122011.610.387746
21420122011.630.37475
21520122011.560.437458
21620122011.770.230859
21720122011.570.433808
21820122011.310.685487
21920122011.690.314131
22020122011.620.379559
22120122011.440.562808
22220122011.770.227411
22320122011.660.337747
22420122011.380.624843
22520122011.440.559757
22620122011.950.0537119
22720122011.50.500017
22820122011.560.439362
22920122011.720.282561
23020122011.550.449942
23120122011.440.56221
23220122011.730.26997
23320122011.490.511266
23420122011.30.699509
23520122011.570.427455
23620122011.90.0965065
23720122011.770.229532
23820122011.520.480326
23920122011.810.191983
24020122011.510.494594
24120122011.790.208052
24220122011.580.424017
24320122011.540.457094
24420122011.60.395178
24520122011.70.295549
24620122011.460.539105
24720122011.530.467537
24820122011.670.330371
24920122011.710.291711
25020122011.520.484495
25120122011.420.578333
25220122011.920.0849238
25320122011.680.319022
25420122011.850.145637
25520122011.540.463248
25620122011.680.316536
25720122011.540.461533
25820122011.740.257133
25920122011.660.338261
26020122011.50.500594
26120122011.860.141127
26220122011.570.426227
26320122011.690.305631
26420122011.610.394789
26520122011.590.408162
26620122011.80.196741
26720122011.670.329271
26820122011.360.637153
26920122011.550.451362
27020122011.760.243094
27120122011.40.602455
27220122011.580.418543
27320122011.510.485551
27420122011.610.393159
27520122011.570.434344
27620122011.70.29831
27720122011.580.417323
27820122011.860.136854







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
16001
17001
186.58192e-631.31638e-621
192.56366e-745.12732e-741
201.55139e-843.10277e-841
215.80757e-951.16151e-941
224.53741e-1069.07482e-1061
231.90283e-1223.80565e-1221
246.38978e-1281.27796e-1271
253.36202e-1396.72403e-1391
262.02061e-1484.04122e-1481
274.82743e-1649.65485e-1641
283.2523e-1716.5046e-1711
292.23329e-1854.46658e-1851
307.87647e-1931.57529e-1921
31001
322.15335e-2314.30669e-2311
331.51828e-2293.03657e-2291
345.79858e-2431.15972e-2421
352.04888e-2544.09777e-2541
367.13342e-2621.42668e-2611
371.06441e-2842.12883e-2841
382.01533e-2814.03067e-2811
392.59323e-2915.18647e-2911
405.29769999999931e-3121.05953999999986e-3111
41001
42001
43001
44001
45001
46001
47001
48001
49001
50001
51001
52001
53001
54001
55001
56001
57001
58001
59001
60001
61001
62001
63001
64001
65001
66001
67001
68001
69001
70001
71001
72001
73001
74001
75001
76001
77001
78001
79001
80001
81001
82001
83001
84001
85001
86001
87001
88001
89001
90001
91001
92001
93001
94001
95001
96001
97001
98001
99001
100001
101001
102001
103001
104001
105001
106001
107001
108001
109001
110001
111001
11215.62949e-682.81475e-68
113100
114100
115100
116100
117100
118100
119100
120100
121100
122100
123100
124100
125100
126100
127100
128100
129100
130100
131100
132100
133100
134100
135100
136100
137100
138100
139100
140100
141100
142100
143100
144100
145100
146100
147100
148100
149100
150100
151100
152100
153100
154100
155100
156100
157100
158100
159100
160100
161100
162100
163100
164100
165100
166100
167100
168100
169100
170100
171100
172100
173100
174100
175100
176100
177100
178100
179100
180100
181100
182100
183100
184100
185100
186100
187100
188100
189100
190100
191100
192100
193100
194100
195100
196100
197100
198100
199100
200100
201100
202100
203100
204100
205100
206100
207100
208100
209100
210100
211100
212100
213100
214100
215100
216100
217100
218100
219100
220100
221100
222100
223100
224100
225100
226100
227100
228100
229100
230100
231100
232100
233100
234100
235100
236100
237100
23814.72529999999983e-3122.36265000000238e-312
23912.80691000083584e-3151.40345999789193e-315
24011.52203e-2827.61013e-283
24116.12593e-2733.06297e-273
24212.29785e-2641.14892e-264
24312.9578e-2631.4789e-263
24411.30077e-2556.50387e-256
24517.72551e-2243.86276e-224
24614.92469e-2322.46235e-232
24717.06164e-2123.53082e-212
24811.13407e-2025.67035e-203
24915.33507e-1852.66753e-185
25013.64198e-1721.82099e-172
25112.34125e-1611.17062e-161
252100
25314.16831e-1432.08415e-143
25412.31192e-1271.15596e-127
25517.66907e-1223.83454e-122
25611.64191e-1038.20957e-104
25719.67949e-934.83974e-93
25811.08641e-835.43203e-84
259100
26013.01896e-601.50948e-60
26111.29393e-456.46966e-46
262100

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
16 & 0 & 0 & 1 \tabularnewline
17 & 0 & 0 & 1 \tabularnewline
18 & 6.58192e-63 & 1.31638e-62 & 1 \tabularnewline
19 & 2.56366e-74 & 5.12732e-74 & 1 \tabularnewline
20 & 1.55139e-84 & 3.10277e-84 & 1 \tabularnewline
21 & 5.80757e-95 & 1.16151e-94 & 1 \tabularnewline
22 & 4.53741e-106 & 9.07482e-106 & 1 \tabularnewline
23 & 1.90283e-122 & 3.80565e-122 & 1 \tabularnewline
24 & 6.38978e-128 & 1.27796e-127 & 1 \tabularnewline
25 & 3.36202e-139 & 6.72403e-139 & 1 \tabularnewline
26 & 2.02061e-148 & 4.04122e-148 & 1 \tabularnewline
27 & 4.82743e-164 & 9.65485e-164 & 1 \tabularnewline
28 & 3.2523e-171 & 6.5046e-171 & 1 \tabularnewline
29 & 2.23329e-185 & 4.46658e-185 & 1 \tabularnewline
30 & 7.87647e-193 & 1.57529e-192 & 1 \tabularnewline
31 & 0 & 0 & 1 \tabularnewline
32 & 2.15335e-231 & 4.30669e-231 & 1 \tabularnewline
33 & 1.51828e-229 & 3.03657e-229 & 1 \tabularnewline
34 & 5.79858e-243 & 1.15972e-242 & 1 \tabularnewline
35 & 2.04888e-254 & 4.09777e-254 & 1 \tabularnewline
36 & 7.13342e-262 & 1.42668e-261 & 1 \tabularnewline
37 & 1.06441e-284 & 2.12883e-284 & 1 \tabularnewline
38 & 2.01533e-281 & 4.03067e-281 & 1 \tabularnewline
39 & 2.59323e-291 & 5.18647e-291 & 1 \tabularnewline
40 & 5.29769999999931e-312 & 1.05953999999986e-311 & 1 \tabularnewline
41 & 0 & 0 & 1 \tabularnewline
42 & 0 & 0 & 1 \tabularnewline
43 & 0 & 0 & 1 \tabularnewline
44 & 0 & 0 & 1 \tabularnewline
45 & 0 & 0 & 1 \tabularnewline
46 & 0 & 0 & 1 \tabularnewline
47 & 0 & 0 & 1 \tabularnewline
48 & 0 & 0 & 1 \tabularnewline
49 & 0 & 0 & 1 \tabularnewline
50 & 0 & 0 & 1 \tabularnewline
51 & 0 & 0 & 1 \tabularnewline
52 & 0 & 0 & 1 \tabularnewline
53 & 0 & 0 & 1 \tabularnewline
54 & 0 & 0 & 1 \tabularnewline
55 & 0 & 0 & 1 \tabularnewline
56 & 0 & 0 & 1 \tabularnewline
57 & 0 & 0 & 1 \tabularnewline
58 & 0 & 0 & 1 \tabularnewline
59 & 0 & 0 & 1 \tabularnewline
60 & 0 & 0 & 1 \tabularnewline
61 & 0 & 0 & 1 \tabularnewline
62 & 0 & 0 & 1 \tabularnewline
63 & 0 & 0 & 1 \tabularnewline
64 & 0 & 0 & 1 \tabularnewline
65 & 0 & 0 & 1 \tabularnewline
66 & 0 & 0 & 1 \tabularnewline
67 & 0 & 0 & 1 \tabularnewline
68 & 0 & 0 & 1 \tabularnewline
69 & 0 & 0 & 1 \tabularnewline
70 & 0 & 0 & 1 \tabularnewline
71 & 0 & 0 & 1 \tabularnewline
72 & 0 & 0 & 1 \tabularnewline
73 & 0 & 0 & 1 \tabularnewline
74 & 0 & 0 & 1 \tabularnewline
75 & 0 & 0 & 1 \tabularnewline
76 & 0 & 0 & 1 \tabularnewline
77 & 0 & 0 & 1 \tabularnewline
78 & 0 & 0 & 1 \tabularnewline
79 & 0 & 0 & 1 \tabularnewline
80 & 0 & 0 & 1 \tabularnewline
81 & 0 & 0 & 1 \tabularnewline
82 & 0 & 0 & 1 \tabularnewline
83 & 0 & 0 & 1 \tabularnewline
84 & 0 & 0 & 1 \tabularnewline
85 & 0 & 0 & 1 \tabularnewline
86 & 0 & 0 & 1 \tabularnewline
87 & 0 & 0 & 1 \tabularnewline
88 & 0 & 0 & 1 \tabularnewline
89 & 0 & 0 & 1 \tabularnewline
90 & 0 & 0 & 1 \tabularnewline
91 & 0 & 0 & 1 \tabularnewline
92 & 0 & 0 & 1 \tabularnewline
93 & 0 & 0 & 1 \tabularnewline
94 & 0 & 0 & 1 \tabularnewline
95 & 0 & 0 & 1 \tabularnewline
96 & 0 & 0 & 1 \tabularnewline
97 & 0 & 0 & 1 \tabularnewline
98 & 0 & 0 & 1 \tabularnewline
99 & 0 & 0 & 1 \tabularnewline
100 & 0 & 0 & 1 \tabularnewline
101 & 0 & 0 & 1 \tabularnewline
102 & 0 & 0 & 1 \tabularnewline
103 & 0 & 0 & 1 \tabularnewline
104 & 0 & 0 & 1 \tabularnewline
105 & 0 & 0 & 1 \tabularnewline
106 & 0 & 0 & 1 \tabularnewline
107 & 0 & 0 & 1 \tabularnewline
108 & 0 & 0 & 1 \tabularnewline
109 & 0 & 0 & 1 \tabularnewline
110 & 0 & 0 & 1 \tabularnewline
111 & 0 & 0 & 1 \tabularnewline
112 & 1 & 5.62949e-68 & 2.81475e-68 \tabularnewline
113 & 1 & 0 & 0 \tabularnewline
114 & 1 & 0 & 0 \tabularnewline
115 & 1 & 0 & 0 \tabularnewline
116 & 1 & 0 & 0 \tabularnewline
117 & 1 & 0 & 0 \tabularnewline
118 & 1 & 0 & 0 \tabularnewline
119 & 1 & 0 & 0 \tabularnewline
120 & 1 & 0 & 0 \tabularnewline
121 & 1 & 0 & 0 \tabularnewline
122 & 1 & 0 & 0 \tabularnewline
123 & 1 & 0 & 0 \tabularnewline
124 & 1 & 0 & 0 \tabularnewline
125 & 1 & 0 & 0 \tabularnewline
126 & 1 & 0 & 0 \tabularnewline
127 & 1 & 0 & 0 \tabularnewline
128 & 1 & 0 & 0 \tabularnewline
129 & 1 & 0 & 0 \tabularnewline
130 & 1 & 0 & 0 \tabularnewline
131 & 1 & 0 & 0 \tabularnewline
132 & 1 & 0 & 0 \tabularnewline
133 & 1 & 0 & 0 \tabularnewline
134 & 1 & 0 & 0 \tabularnewline
135 & 1 & 0 & 0 \tabularnewline
136 & 1 & 0 & 0 \tabularnewline
137 & 1 & 0 & 0 \tabularnewline
138 & 1 & 0 & 0 \tabularnewline
139 & 1 & 0 & 0 \tabularnewline
140 & 1 & 0 & 0 \tabularnewline
141 & 1 & 0 & 0 \tabularnewline
142 & 1 & 0 & 0 \tabularnewline
143 & 1 & 0 & 0 \tabularnewline
144 & 1 & 0 & 0 \tabularnewline
145 & 1 & 0 & 0 \tabularnewline
146 & 1 & 0 & 0 \tabularnewline
147 & 1 & 0 & 0 \tabularnewline
148 & 1 & 0 & 0 \tabularnewline
149 & 1 & 0 & 0 \tabularnewline
150 & 1 & 0 & 0 \tabularnewline
151 & 1 & 0 & 0 \tabularnewline
152 & 1 & 0 & 0 \tabularnewline
153 & 1 & 0 & 0 \tabularnewline
154 & 1 & 0 & 0 \tabularnewline
155 & 1 & 0 & 0 \tabularnewline
156 & 1 & 0 & 0 \tabularnewline
157 & 1 & 0 & 0 \tabularnewline
158 & 1 & 0 & 0 \tabularnewline
159 & 1 & 0 & 0 \tabularnewline
160 & 1 & 0 & 0 \tabularnewline
161 & 1 & 0 & 0 \tabularnewline
162 & 1 & 0 & 0 \tabularnewline
163 & 1 & 0 & 0 \tabularnewline
164 & 1 & 0 & 0 \tabularnewline
165 & 1 & 0 & 0 \tabularnewline
166 & 1 & 0 & 0 \tabularnewline
167 & 1 & 0 & 0 \tabularnewline
168 & 1 & 0 & 0 \tabularnewline
169 & 1 & 0 & 0 \tabularnewline
170 & 1 & 0 & 0 \tabularnewline
171 & 1 & 0 & 0 \tabularnewline
172 & 1 & 0 & 0 \tabularnewline
173 & 1 & 0 & 0 \tabularnewline
174 & 1 & 0 & 0 \tabularnewline
175 & 1 & 0 & 0 \tabularnewline
176 & 1 & 0 & 0 \tabularnewline
177 & 1 & 0 & 0 \tabularnewline
178 & 1 & 0 & 0 \tabularnewline
179 & 1 & 0 & 0 \tabularnewline
180 & 1 & 0 & 0 \tabularnewline
181 & 1 & 0 & 0 \tabularnewline
182 & 1 & 0 & 0 \tabularnewline
183 & 1 & 0 & 0 \tabularnewline
184 & 1 & 0 & 0 \tabularnewline
185 & 1 & 0 & 0 \tabularnewline
186 & 1 & 0 & 0 \tabularnewline
187 & 1 & 0 & 0 \tabularnewline
188 & 1 & 0 & 0 \tabularnewline
189 & 1 & 0 & 0 \tabularnewline
190 & 1 & 0 & 0 \tabularnewline
191 & 1 & 0 & 0 \tabularnewline
192 & 1 & 0 & 0 \tabularnewline
193 & 1 & 0 & 0 \tabularnewline
194 & 1 & 0 & 0 \tabularnewline
195 & 1 & 0 & 0 \tabularnewline
196 & 1 & 0 & 0 \tabularnewline
197 & 1 & 0 & 0 \tabularnewline
198 & 1 & 0 & 0 \tabularnewline
199 & 1 & 0 & 0 \tabularnewline
200 & 1 & 0 & 0 \tabularnewline
201 & 1 & 0 & 0 \tabularnewline
202 & 1 & 0 & 0 \tabularnewline
203 & 1 & 0 & 0 \tabularnewline
204 & 1 & 0 & 0 \tabularnewline
205 & 1 & 0 & 0 \tabularnewline
206 & 1 & 0 & 0 \tabularnewline
207 & 1 & 0 & 0 \tabularnewline
208 & 1 & 0 & 0 \tabularnewline
209 & 1 & 0 & 0 \tabularnewline
210 & 1 & 0 & 0 \tabularnewline
211 & 1 & 0 & 0 \tabularnewline
212 & 1 & 0 & 0 \tabularnewline
213 & 1 & 0 & 0 \tabularnewline
214 & 1 & 0 & 0 \tabularnewline
215 & 1 & 0 & 0 \tabularnewline
216 & 1 & 0 & 0 \tabularnewline
217 & 1 & 0 & 0 \tabularnewline
218 & 1 & 0 & 0 \tabularnewline
219 & 1 & 0 & 0 \tabularnewline
220 & 1 & 0 & 0 \tabularnewline
221 & 1 & 0 & 0 \tabularnewline
222 & 1 & 0 & 0 \tabularnewline
223 & 1 & 0 & 0 \tabularnewline
224 & 1 & 0 & 0 \tabularnewline
225 & 1 & 0 & 0 \tabularnewline
226 & 1 & 0 & 0 \tabularnewline
227 & 1 & 0 & 0 \tabularnewline
228 & 1 & 0 & 0 \tabularnewline
229 & 1 & 0 & 0 \tabularnewline
230 & 1 & 0 & 0 \tabularnewline
231 & 1 & 0 & 0 \tabularnewline
232 & 1 & 0 & 0 \tabularnewline
233 & 1 & 0 & 0 \tabularnewline
234 & 1 & 0 & 0 \tabularnewline
235 & 1 & 0 & 0 \tabularnewline
236 & 1 & 0 & 0 \tabularnewline
237 & 1 & 0 & 0 \tabularnewline
238 & 1 & 4.72529999999983e-312 & 2.36265000000238e-312 \tabularnewline
239 & 1 & 2.80691000083584e-315 & 1.40345999789193e-315 \tabularnewline
240 & 1 & 1.52203e-282 & 7.61013e-283 \tabularnewline
241 & 1 & 6.12593e-273 & 3.06297e-273 \tabularnewline
242 & 1 & 2.29785e-264 & 1.14892e-264 \tabularnewline
243 & 1 & 2.9578e-263 & 1.4789e-263 \tabularnewline
244 & 1 & 1.30077e-255 & 6.50387e-256 \tabularnewline
245 & 1 & 7.72551e-224 & 3.86276e-224 \tabularnewline
246 & 1 & 4.92469e-232 & 2.46235e-232 \tabularnewline
247 & 1 & 7.06164e-212 & 3.53082e-212 \tabularnewline
248 & 1 & 1.13407e-202 & 5.67035e-203 \tabularnewline
249 & 1 & 5.33507e-185 & 2.66753e-185 \tabularnewline
250 & 1 & 3.64198e-172 & 1.82099e-172 \tabularnewline
251 & 1 & 2.34125e-161 & 1.17062e-161 \tabularnewline
252 & 1 & 0 & 0 \tabularnewline
253 & 1 & 4.16831e-143 & 2.08415e-143 \tabularnewline
254 & 1 & 2.31192e-127 & 1.15596e-127 \tabularnewline
255 & 1 & 7.66907e-122 & 3.83454e-122 \tabularnewline
256 & 1 & 1.64191e-103 & 8.20957e-104 \tabularnewline
257 & 1 & 9.67949e-93 & 4.83974e-93 \tabularnewline
258 & 1 & 1.08641e-83 & 5.43203e-84 \tabularnewline
259 & 1 & 0 & 0 \tabularnewline
260 & 1 & 3.01896e-60 & 1.50948e-60 \tabularnewline
261 & 1 & 1.29393e-45 & 6.46966e-46 \tabularnewline
262 & 1 & 0 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=262484&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]16[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]17[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]18[/C][C]6.58192e-63[/C][C]1.31638e-62[/C][C]1[/C][/ROW]
[ROW][C]19[/C][C]2.56366e-74[/C][C]5.12732e-74[/C][C]1[/C][/ROW]
[ROW][C]20[/C][C]1.55139e-84[/C][C]3.10277e-84[/C][C]1[/C][/ROW]
[ROW][C]21[/C][C]5.80757e-95[/C][C]1.16151e-94[/C][C]1[/C][/ROW]
[ROW][C]22[/C][C]4.53741e-106[/C][C]9.07482e-106[/C][C]1[/C][/ROW]
[ROW][C]23[/C][C]1.90283e-122[/C][C]3.80565e-122[/C][C]1[/C][/ROW]
[ROW][C]24[/C][C]6.38978e-128[/C][C]1.27796e-127[/C][C]1[/C][/ROW]
[ROW][C]25[/C][C]3.36202e-139[/C][C]6.72403e-139[/C][C]1[/C][/ROW]
[ROW][C]26[/C][C]2.02061e-148[/C][C]4.04122e-148[/C][C]1[/C][/ROW]
[ROW][C]27[/C][C]4.82743e-164[/C][C]9.65485e-164[/C][C]1[/C][/ROW]
[ROW][C]28[/C][C]3.2523e-171[/C][C]6.5046e-171[/C][C]1[/C][/ROW]
[ROW][C]29[/C][C]2.23329e-185[/C][C]4.46658e-185[/C][C]1[/C][/ROW]
[ROW][C]30[/C][C]7.87647e-193[/C][C]1.57529e-192[/C][C]1[/C][/ROW]
[ROW][C]31[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]32[/C][C]2.15335e-231[/C][C]4.30669e-231[/C][C]1[/C][/ROW]
[ROW][C]33[/C][C]1.51828e-229[/C][C]3.03657e-229[/C][C]1[/C][/ROW]
[ROW][C]34[/C][C]5.79858e-243[/C][C]1.15972e-242[/C][C]1[/C][/ROW]
[ROW][C]35[/C][C]2.04888e-254[/C][C]4.09777e-254[/C][C]1[/C][/ROW]
[ROW][C]36[/C][C]7.13342e-262[/C][C]1.42668e-261[/C][C]1[/C][/ROW]
[ROW][C]37[/C][C]1.06441e-284[/C][C]2.12883e-284[/C][C]1[/C][/ROW]
[ROW][C]38[/C][C]2.01533e-281[/C][C]4.03067e-281[/C][C]1[/C][/ROW]
[ROW][C]39[/C][C]2.59323e-291[/C][C]5.18647e-291[/C][C]1[/C][/ROW]
[ROW][C]40[/C][C]5.29769999999931e-312[/C][C]1.05953999999986e-311[/C][C]1[/C][/ROW]
[ROW][C]41[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]42[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]43[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]44[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]45[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]46[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]47[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]48[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]49[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]50[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]51[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]52[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]53[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]54[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]55[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]56[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]57[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]58[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]59[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]60[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]61[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]62[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]63[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]64[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]65[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]66[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]67[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]68[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]69[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]70[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]71[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]72[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]73[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]74[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]75[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]76[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]77[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]78[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]79[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]80[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]81[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]82[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]83[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]84[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]85[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]86[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]87[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]88[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]89[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]90[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]91[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]92[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]93[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]94[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]95[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]96[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]97[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]98[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]99[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]100[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]101[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]102[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]103[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]104[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]105[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]106[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]107[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]108[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]109[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]110[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]111[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]112[/C][C]1[/C][C]5.62949e-68[/C][C]2.81475e-68[/C][/ROW]
[ROW][C]113[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]114[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]115[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]116[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]117[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]118[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]119[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]120[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]121[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]122[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]123[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]124[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]125[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]126[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]127[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]128[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]129[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]130[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]131[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]132[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]133[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]134[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]135[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]136[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]137[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]138[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]139[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]140[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]141[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]142[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]143[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]144[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]145[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]146[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]147[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]148[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]149[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]150[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]151[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]152[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]153[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]154[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]155[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]156[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]157[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]158[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]159[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]160[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]161[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]162[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]163[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]164[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]165[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]166[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]167[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]168[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]169[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]170[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]171[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]172[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]173[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]174[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]175[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]176[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]177[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]178[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]179[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]180[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]181[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]182[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]183[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]184[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]185[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]186[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]187[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]188[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]189[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]190[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]191[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]192[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]193[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]194[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]195[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]196[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]197[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]198[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]199[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]200[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]201[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]202[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]203[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]204[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]205[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]206[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]207[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]208[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]209[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]210[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]211[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]212[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]213[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]214[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]215[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]216[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]217[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]218[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]219[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]220[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]221[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]222[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]223[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]224[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]225[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]226[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]227[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]228[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]229[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]230[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]231[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]232[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]233[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]234[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]235[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]236[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]237[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]238[/C][C]1[/C][C]4.72529999999983e-312[/C][C]2.36265000000238e-312[/C][/ROW]
[ROW][C]239[/C][C]1[/C][C]2.80691000083584e-315[/C][C]1.40345999789193e-315[/C][/ROW]
[ROW][C]240[/C][C]1[/C][C]1.52203e-282[/C][C]7.61013e-283[/C][/ROW]
[ROW][C]241[/C][C]1[/C][C]6.12593e-273[/C][C]3.06297e-273[/C][/ROW]
[ROW][C]242[/C][C]1[/C][C]2.29785e-264[/C][C]1.14892e-264[/C][/ROW]
[ROW][C]243[/C][C]1[/C][C]2.9578e-263[/C][C]1.4789e-263[/C][/ROW]
[ROW][C]244[/C][C]1[/C][C]1.30077e-255[/C][C]6.50387e-256[/C][/ROW]
[ROW][C]245[/C][C]1[/C][C]7.72551e-224[/C][C]3.86276e-224[/C][/ROW]
[ROW][C]246[/C][C]1[/C][C]4.92469e-232[/C][C]2.46235e-232[/C][/ROW]
[ROW][C]247[/C][C]1[/C][C]7.06164e-212[/C][C]3.53082e-212[/C][/ROW]
[ROW][C]248[/C][C]1[/C][C]1.13407e-202[/C][C]5.67035e-203[/C][/ROW]
[ROW][C]249[/C][C]1[/C][C]5.33507e-185[/C][C]2.66753e-185[/C][/ROW]
[ROW][C]250[/C][C]1[/C][C]3.64198e-172[/C][C]1.82099e-172[/C][/ROW]
[ROW][C]251[/C][C]1[/C][C]2.34125e-161[/C][C]1.17062e-161[/C][/ROW]
[ROW][C]252[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]253[/C][C]1[/C][C]4.16831e-143[/C][C]2.08415e-143[/C][/ROW]
[ROW][C]254[/C][C]1[/C][C]2.31192e-127[/C][C]1.15596e-127[/C][/ROW]
[ROW][C]255[/C][C]1[/C][C]7.66907e-122[/C][C]3.83454e-122[/C][/ROW]
[ROW][C]256[/C][C]1[/C][C]1.64191e-103[/C][C]8.20957e-104[/C][/ROW]
[ROW][C]257[/C][C]1[/C][C]9.67949e-93[/C][C]4.83974e-93[/C][/ROW]
[ROW][C]258[/C][C]1[/C][C]1.08641e-83[/C][C]5.43203e-84[/C][/ROW]
[ROW][C]259[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]260[/C][C]1[/C][C]3.01896e-60[/C][C]1.50948e-60[/C][/ROW]
[ROW][C]261[/C][C]1[/C][C]1.29393e-45[/C][C]6.46966e-46[/C][/ROW]
[ROW][C]262[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=262484&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=262484&T=5

As an alternative you can also use a QR Code:  

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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
16001
17001
186.58192e-631.31638e-621
192.56366e-745.12732e-741
201.55139e-843.10277e-841
215.80757e-951.16151e-941
224.53741e-1069.07482e-1061
231.90283e-1223.80565e-1221
246.38978e-1281.27796e-1271
253.36202e-1396.72403e-1391
262.02061e-1484.04122e-1481
274.82743e-1649.65485e-1641
283.2523e-1716.5046e-1711
292.23329e-1854.46658e-1851
307.87647e-1931.57529e-1921
31001
322.15335e-2314.30669e-2311
331.51828e-2293.03657e-2291
345.79858e-2431.15972e-2421
352.04888e-2544.09777e-2541
367.13342e-2621.42668e-2611
371.06441e-2842.12883e-2841
382.01533e-2814.03067e-2811
392.59323e-2915.18647e-2911
405.29769999999931e-3121.05953999999986e-3111
41001
42001
43001
44001
45001
46001
47001
48001
49001
50001
51001
52001
53001
54001
55001
56001
57001
58001
59001
60001
61001
62001
63001
64001
65001
66001
67001
68001
69001
70001
71001
72001
73001
74001
75001
76001
77001
78001
79001
80001
81001
82001
83001
84001
85001
86001
87001
88001
89001
90001
91001
92001
93001
94001
95001
96001
97001
98001
99001
100001
101001
102001
103001
104001
105001
106001
107001
108001
109001
110001
111001
11215.62949e-682.81475e-68
113100
114100
115100
116100
117100
118100
119100
120100
121100
122100
123100
124100
125100
126100
127100
128100
129100
130100
131100
132100
133100
134100
135100
136100
137100
138100
139100
140100
141100
142100
143100
144100
145100
146100
147100
148100
149100
150100
151100
152100
153100
154100
155100
156100
157100
158100
159100
160100
161100
162100
163100
164100
165100
166100
167100
168100
169100
170100
171100
172100
173100
174100
175100
176100
177100
178100
179100
180100
181100
182100
183100
184100
185100
186100
187100
188100
189100
190100
191100
192100
193100
194100
195100
196100
197100
198100
199100
200100
201100
202100
203100
204100
205100
206100
207100
208100
209100
210100
211100
212100
213100
214100
215100
216100
217100
218100
219100
220100
221100
222100
223100
224100
225100
226100
227100
228100
229100
230100
231100
232100
233100
234100
235100
236100
237100
23814.72529999999983e-3122.36265000000238e-312
23912.80691000083584e-3151.40345999789193e-315
24011.52203e-2827.61013e-283
24116.12593e-2733.06297e-273
24212.29785e-2641.14892e-264
24312.9578e-2631.4789e-263
24411.30077e-2556.50387e-256
24517.72551e-2243.86276e-224
24614.92469e-2322.46235e-232
24717.06164e-2123.53082e-212
24811.13407e-2025.67035e-203
24915.33507e-1852.66753e-185
25013.64198e-1721.82099e-172
25112.34125e-1611.17062e-161
252100
25314.16831e-1432.08415e-143
25412.31192e-1271.15596e-127
25517.66907e-1223.83454e-122
25611.64191e-1038.20957e-104
25719.67949e-934.83974e-93
25811.08641e-835.43203e-84
259100
26013.01896e-601.50948e-60
26111.29393e-456.46966e-46
262100







Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2471NOK
5% type I error level2471NOK
10% type I error level2471NOK

\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 & 247 & 1 & NOK \tabularnewline
5% type I error level & 247 & 1 & NOK \tabularnewline
10% type I error level & 247 & 1 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=262484&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]247[/C][C]1[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]247[/C][C]1[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]247[/C][C]1[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=262484&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=262484&T=6

As an alternative you can also use a QR Code:  

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2471NOK
5% type I error level2471NOK
10% type I error level2471NOK



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