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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationWed, 03 Dec 2014 15:02:07 +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/03/t1417619299p7r8gcot8xfv53e.htm/, Retrieved Thu, 31 Oct 2024 23:47:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=262965, Retrieved Thu, 31 Oct 2024 23:47:39 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact185
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [] [2014-12-03 15:02:07] [37e054ac358b2aa7c2a1d0b751dfa890] [Current]
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Dataseries X:
'12.9' 2011 1 0 11 8 7 18 12 20 4 21 149 68
'12.2' 2011 1 1 19 18 20 23 20 19 4 22 139 39
'12.8' 2011 1 0 16 12 9 22 14 18 5 22 148 32
'7.4' 2011 1 1 24 24 19 22 25 24 4 18 158 62
'6.7' 2011 1 1 15 16 12 19 15 20 4 23 128 33
'12.6' 2011 1 1 17 19 16 25 20 20 9 12 224 52
'14.8' 2011 1 0 19 16 17 28 21 24 8 20 159 62
'13.3' 2011 1 1 19 15 9 16 15 21 11 22 105 77
'11.1' 2011 1 1 28 28 28 28 28 28 4 21 159 76
'8.2' 2011 1 1 26 21 20 21 11 10 4 19 167 41
'11.4' 2011 1 1 15 18 16 22 22 22 6 22 165 48
'6.4' 2011 1 1 26 22 22 24 22 19 4 15 159 63
'10.6' 2011 1 1 16 19 17 24 27 27 8 20 119 30
'12.0' 2011 1 0 24 22 12 26 24 23 4 19 176 78
'6.3' 2011 1 0 25 25 18 28 23 24 4 18 54 19
'11.3' 2011 0 0 22 20 20 24 24 24 11 15 91 31
'11.9' 2011 1 1 15 16 12 20 21 25 4 20 163 66
'9.3' 2011 1 0 21 19 16 26 20 24 4 21 124 35
'9.6' 2011 0 1 22 18 16 21 19 21 6 21 137 42
'10.0' 2011 1 0 27 26 21 28 25 28 6 15 121 45
'6.4' 2011 1 1 26 24 15 27 16 28 4 16 153 21
'13.8' 2011 1 1 26 20 17 23 24 22 8 23 148 25
'10.8' 2011 1 0 22 19 17 24 21 26 5 21 221 44
'13.8' 2011 1 1 21 19 17 24 22 26 4 18 188 69
'11.7' 2011 1 1 22 23 18 22 25 21 9 25 149 54
'10.9' 2011 1 1 20 18 15 21 23 26 4 9 244 74
'16.1' 2011 0 1 21 16 20 25 20 23 7 30 148 80
'13.4' 2011 0 0 20 18 13 20 21 20 10 20 92 42
'9.9' 2011 1 1 22 21 21 21 22 24 4 23 150 61
'11.5' 2011 1 0 21 20 12 26 25 25 4 16 153 41
'8.3' 2011 1 0 8 15 6 23 23 24 7 16 94 46
'11.7' 2011 1 0 22 19 13 21 19 20 12 19 156 39
'9.0' 2011 1 1 20 19 19 27 21 24 7 25 132 34
'9.7' 2011 1 1 24 7 12 25 19 25 5 18 161 51
'10.8' 2011 1 1 17 20 14 23 25 23 8 23 105 42
'10.3' 2011 1 1 20 20 13 25 16 21 5 21 97 31
'10.4' 2011 1 0 23 19 12 23 24 23 4 10 151 39
'12.7' 2011 0 1 20 19 17 19 24 21 9 14 131 20
'9.3' 2011 1 1 22 20 19 22 18 18 7 22 166 49
'11.8' 2011 1 0 19 18 10 24 28 24 4 26 157 53
'5.9' 2011 1 1 15 14 10 19 15 18 4 23 111 31
'11.4' 2011 1 1 20 17 11 21 17 21 4 23 145 39
'13.0' 2011 1 1 22 17 11 27 18 23 4 24 162 54
'10.8' 2011 1 1 17 8 10 25 26 25 4 24 163 49
'12.3' 2011 0 1 14 9 7 25 18 22 7 18 59 34
'11.3' 2011 1 0 24 22 22 23 22 22 4 23 187 46
'11.8' 2011 1 1 17 20 12 17 19 23 7 15 109 55
'7.9' 2011 0 1 23 20 18 28 17 24 4 19 90 42
'12.7' 2011 1 0 25 22 20 25 26 25 4 16 105 50
'12.3' 2011 0 1 16 22 9 20 21 22 4 25 83 13
'11.6' 2011 0 1 18 22 16 25 26 24 4 23 116 37
'6.7' 2011 0 1 20 16 14 21 21 21 8 17 42 25
'10.9' 2011 1 1 18 14 11 24 12 24 4 19 148 30
'12.1' 2011 0 1 23 24 20 28 20 25 4 21 155 28
'13.3' 2011 1 1 24 21 17 20 20 23 4 18 125 45
'10.1' 2011 1 1 23 20 14 19 24 27 4 27 116 35
'5.7' 2011 0 0 13 20 8 24 24 27 7 21 128 28
'14.3' 2011 1 1 20 18 16 21 22 23 12 13 138 41
'8.0' 2011 0 0 20 14 11 24 21 18 4 8 49 6
'13.3' 2011 0 1 19 19 10 23 20 20 4 29 96 45
'9.3' 2011 1 1 22 24 15 18 23 23 4 28 164 73
'12.5' 2011 1 0 22 19 15 27 19 24 5 23 162 17
'7.6' 2011 1 0 15 16 10 25 24 26 15 21 99 40
'15.9' 2011 1 1 17 16 10 20 21 20 5 19 202 64
'9.2' 2011 1 0 19 16 18 21 16 23 10 19 186 37
'9.1' 2011 0 1 20 14 10 23 17 22 9 20 66 25
'11.1' 2011 1 0 22 22 22 27 23 23 8 18 183 65
'13.0' 2011 1 1 21 21 16 24 20 17 4 19 214 100
'14.5' 2011 1 1 21 15 10 27 19 20 5 17 188 28
'12.2' 2011 0 0 16 14 7 24 18 22 4 19 104 35
'12.3' 2011 1 0 20 15 16 23 18 18 9 25 177 56
'11.4' 2011 1 0 21 14 16 24 21 19 4 19 126 29
'8.8' 2011 0 0 20 20 16 21 20 19 10 22 76 43
'14.6' 2011 0 1 23 21 22 23 17 16 4 23 99 59
'12.6' 2011 1 0 18 14 5 27 25 26 4 14 139 50
'13.0' 2011 1 0 16 16 10 25 17 25 7 16 162 59
'12.6' 2011 0 1 17 13 8 19 17 23 5 24 108 27
'13.2' 2011 1 0 24 26 16 24 24 18 4 20 159 61
'9.9' 2011 0 0 13 13 8 25 21 22 4 12 74 28
'7.7' 2011 1 1 19 18 16 23 22 26 4 24 110 51
'10.5' 2011 0 0 20 15 14 23 18 25 4 22 96 35
'13.4' 2011 0 0 22 18 15 25 22 26 4 12 116 29
'10.9' 2011 0 0 19 21 9 26 20 26 4 22 87 48
'4.3' 2011 0 1 21 17 21 26 21 24 6 20 97 25
'10.3' 2011 0 0 15 18 7 16 21 22 10 10 127 44
'11.8' 2011 0 1 21 20 17 23 20 21 7 23 106 64
'11.2' 2011 0 1 24 18 18 26 18 22 4 17 80 32
'11.4' 2011 0 0 22 25 16 25 25 28 4 22 74 20
'8.6' 2011 0 0 20 20 16 23 23 22 7 24 91 28
'13.2' 2011 0 0 21 19 14 26 21 26 4 18 133 34
'12.6' 2011 0 1 19 18 15 22 20 20 8 21 74 31
'5.6' 2011 0 1 14 12 8 20 21 24 11 20 114 26
'9.9' 2011 0 1 25 22 22 27 20 21 6 20 140 58
'8.8' 2011 0 0 11 16 5 20 22 23 14 22 95 23
'7.7' 2011 0 1 17 18 13 22 15 23 5 19 98 21
'9.0' 2011 0 0 22 23 22 24 24 23 4 20 121 21
'7.3' 2011 0 1 20 20 18 21 22 22 8 26 126 33
'11.4' 2011 0 1 22 20 15 24 21 23 9 23 98 16
'13.6' 2011 0 1 15 16 11 26 17 21 4 24 95 20
'7.9' 2011 0 1 23 22 19 24 23 27 4 21 110 37
'10.7' 2011 0 1 20 19 19 24 22 23 5 21 70 35
'10.3' 2011 0 0 22 23 21 27 23 26 4 19 102 33
'8.3' 2011 0 1 16 6 4 25 16 27 5 8 86 27
'9.6' 2011 0 1 25 19 17 27 18 27 4 17 130 41
'14.2' 2011 0 1 18 24 10 19 25 23 4 20 96 40
'8.5' 2011 0 0 19 19 13 22 18 23 7 11 102 35
'13.5' 2011 0 0 25 15 15 22 14 23 10 8 100 28
'4.9' 2011 0 0 21 18 11 25 20 28 4 15 94 32
'6.4' 2011 0 0 22 18 20 23 19 24 5 18 52 22
'9.6' 2011 0 0 21 22 13 24 18 20 4 18 98 44
'11.6' 2011 0 0 22 23 18 24 22 23 4 19 118 27
'11.1' 2011 0 1 23 18 20 23 21 22 4 19 99 17
'4.35' 2012 1 1 20 17 15 22 14 15 6 23 48 12
'12.7' 2012 1 1 6 6 4 24 5 27 4 22 50 45
'18.1' 2012 1 1 15 22 9 19 25 23 8 21 150 37
'17.85' 2012 1 1 18 20 18 25 21 23 5 25 154 37
'16.6' 2012 0 0 24 16 12 26 11 20 4 30 109 108
'12.6' 2012 0 1 22 16 17 18 20 18 17 17 68 10
'17.1' 2012 1 1 21 17 12 24 9 22 4 27 194 68
'19.1' 2012 1 0 23 20 16 28 15 20 4 23 158 72
'16.1' 2012 1 1 20 23 17 23 23 21 8 23 159 143
'13.35' 2012 1 0 20 18 14 19 21 25 4 18 67 9
'18.4' 2012 1 0 18 13 13 19 9 19 7 18 147 55
'14.7' 2012 1 1 25 22 20 27 24 25 4 23 39 17
'10.6' 2012 1 1 16 20 16 24 16 24 4 19 100 37
'12.6' 2012 1 1 20 20 15 26 20 22 5 15 111 27
'16.2' 2012 1 1 14 13 10 21 15 28 7 20 138 37
'13.6' 2012 1 1 22 16 16 25 18 22 4 16 101 58
'18.9' 2012 0 1 26 25 21 28 22 21 4 24 131 66
'14.1' 2012 1 1 20 16 15 19 21 23 7 25 101 21
'14.5' 2012 1 1 17 15 16 20 21 19 11 25 114 19
'16.15' 2012 1 0 22 19 19 26 21 21 7 19 165 78
'14.75' 2012 1 1 22 19 9 27 20 25 4 19 114 35
'14.8' 2012 1 1 20 24 19 23 24 23 4 16 111 48
'12.45' 2012 1 1 17 9 7 18 15 28 4 19 75 27
'12.65' 2012 1 1 22 22 23 23 24 14 4 19 82 43
'17.35' 2012 1 1 17 15 14 21 18 23 4 23 121 30
'8.6' 2012 1 1 22 22 10 23 24 24 4 21 32 25
'18.4' 2012 1 0 21 22 16 22 24 25 6 22 150 69
'16.1' 2012 1 1 25 24 12 21 15 15 8 19 117 72
'11.6' 2012 0 1 11 12 10 14 19 23 23 20 71 23
'17.75' 2012 1 1 19 21 7 24 20 26 4 20 165 13
'15.25' 2012 1 1 24 25 20 26 26 21 8 3 154 61
'17.65' 2012 1 1 17 26 9 24 26 26 6 23 126 43
'16.35' 2012 1 0 22 21 12 22 23 23 4 23 149 51
'17.65' 2012 1 0 17 14 10 20 13 15 7 20 145 67
'13.6' 2012 1 1 26 28 19 20 16 16 4 15 120 36
'14.35' 2012 1 0 20 21 11 18 22 20 4 16 109 44
'14.75' 2012 1 0 19 16 15 18 21 20 4 7 132 45
'18.25' 2012 1 1 21 16 14 25 11 21 10 24 172 34
'9.9' 2012 1 0 24 25 11 28 23 28 6 17 169 36
16 2012 1 1 21 21 14 23 18 19 5 24 114 72
'18.25' 2012 1 1 19 22 15 20 19 21 5 24 156 39
'16.85' 2012 1 0 13 9 7 22 15 22 4 19 172 43
'14.6' 2012 0 1 24 20 22 27 8 27 4 25 68 25
'13.85' 2012 0 1 28 19 19 24 15 20 5 20 89 56
'18.95' 2012 1 1 27 24 22 23 21 17 5 28 167 80
'15.6' 2012 1 0 22 22 11 20 25 26 5 23 113 40
'14.85' 2012 0 0 23 22 19 22 14 21 5 27 115 73
'11.75' 2012 0 0 19 12 9 21 21 24 4 18 78 34
'18.45' 2012 0 0 18 17 11 24 18 21 6 28 118 72
'15.9' 2012 0 1 23 18 17 26 18 25 4 21 87 42
'17.1' 2012 1 0 21 10 12 24 12 22 4 19 173 61
'16.1' 2012 1 1 22 22 17 18 24 17 4 23 2 23
'19.9' 2012 0 0 17 24 10 17 17 14 9 27 162 74
'10.95' 2012 0 1 15 18 17 23 20 23 18 22 49 16
'18.45' 2012 0 0 21 18 13 21 24 28 6 28 122 66
'15.1' 2012 0 1 20 23 11 21 22 24 5 25 96 9
15 2012 0 0 26 21 19 24 15 22 4 21 100 41
'11.35' 2012 0 0 19 21 21 22 22 24 11 22 82 57
'15.95' 2012 0 1 28 28 24 24 26 25 4 28 100 48
'18.1' 2012 0 0 21 17 13 24 17 21 10 20 115 51
'14.6' 2012 0 1 19 21 16 24 23 22 6 29 141 53
'15.4' 2012 1 1 22 21 13 23 19 16 8 25 165 29
'15.4' 2012 1 1 21 20 15 21 21 18 8 25 165 29
'17.6' 2012 0 1 20 18 15 24 23 27 6 20 110 55
'13.35' 2012 1 1 19 17 11 19 19 17 8 20 118 54
'19.1' 2012 1 0 11 7 7 19 18 25 4 16 158 43
'15.35' 2012 0 1 17 17 13 23 16 24 4 20 146 51
'7.6' 2012 1 0 19 14 13 25 23 21 9 20 49 20
'13.4' 2012 0 0 20 18 12 24 13 21 9 23 90 79
'13.9' 2012 0 0 17 14 8 21 18 19 5 18 121 39
'19.1' 2012 1 1 21 23 7 18 23 27 4 25 155 61
'15.25' 2012 0 0 21 20 17 23 21 28 4 18 104 55
'12.9' 2012 0 1 12 14 9 20 23 19 15 19 147 30
'16.1' 2012 0 0 23 17 18 23 16 23 10 25 110 55
'17.35' 2012 0 0 22 21 17 23 17 25 9 25 108 22
'13.15' 2012 0 0 22 23 17 23 20 26 7 25 113 37
'12.15' 2012 0 0 21 24 18 23 18 25 9 24 115 2
'12.6' 2012 0 1 20 21 12 27 20 25 6 19 61 38
'10.35' 2012 0 1 18 14 14 19 19 24 4 26 60 27
'15.4' 2012 0 1 21 24 22 25 26 24 7 10 109 56
'9.6' 2012 0 1 24 16 19 25 9 24 4 17 68 25
'18.2' 2012 0 0 22 21 21 21 23 22 7 13 111 39
'13.6' 2012 0 0 20 8 10 25 9 21 4 17 77 33
'14.85' 2012 0 1 17 17 16 17 13 17 15 30 73 43
'14.75' 2012 1 0 19 18 11 22 27 23 4 25 151 57
'14.1' 2012 0 0 16 17 15 23 22 17 9 4 89 43
'14.9' 2012 0 0 19 16 12 27 12 25 4 16 78 23
'16.25' 2012 0 0 23 22 21 27 18 19 4 21 110 44
'19.25' 2012 1 1 8 17 22 5 6 8 28 23 220 54
'13.6' 2012 0 1 22 21 20 19 17 14 4 22 65 28
'13.6' 2012 1 0 23 20 15 24 22 22 4 17 141 36
'15.65' 2012 0 0 15 20 9 23 22 25 4 20 117 39
'12.75' 2012 1 1 17 19 15 28 23 28 5 20 122 16
'14.6' 2012 0 0 21 8 14 25 19 25 4 22 63 23
'9.85' 2012 1 1 25 19 11 27 20 24 4 16 44 40
'12.65' 2012 0 1 18 11 9 16 17 15 12 23 52 24
'19.2' 2012 0 0 20 13 12 25 24 24 4 0 131 78
'16.6' 2012 0 1 21 18 11 26 20 28 6 18 101 57
'11.2' 2012 0 1 21 19 14 24 18 24 6 25 42 37
'15.25' 2012 1 1 24 23 10 23 23 25 5 23 152 27
'11.9' 2012 1 0 22 20 18 24 27 23 4 12 107 61
'13.2' 2012 0 0 22 22 11 27 25 26 4 18 77 27
'16.35' 2012 1 0 23 19 14 25 24 26 4 24 154 69
'12.4' 2012 1 1 17 16 16 19 12 22 10 11 103 34
'15.85' 2012 0 1 15 11 11 19 16 25 7 18 96 44
'18.15' 2012 1 1 22 21 16 24 24 22 4 23 175 34
'11.15' 2012 0 1 19 14 13 20 23 26 7 24 57 39
'15.65' 2012 0 0 18 21 12 21 24 20 4 29 112 51
'17.75' 2012 1 0 21 20 17 28 24 26 4 18 143 34
'7.65' 2012 0 0 20 21 23 26 26 26 12 15 49 31
'12.35' 2012 1 1 19 20 14 19 19 21 5 29 110 13
'15.6' 2012 1 1 19 19 10 23 28 21 8 16 131 12
'19.3' 2012 1 0 16 19 16 23 23 24 6 19 167 51
'15.2' 2012 0 0 18 18 11 21 21 21 17 22 56 24
'17.1' 2012 1 0 23 20 16 26 19 18 4 16 137 19
'15.6' 2012 0 1 22 21 19 25 23 23 5 23 86 30
'18.4' 2012 1 1 23 22 17 25 23 26 4 23 121 81
'19.05' 2012 1 0 20 19 12 24 20 23 5 19 149 42
'18.55' 2012 1 0 24 23 17 23 18 25 5 4 168 22
'19.1' 2012 1 0 25 16 11 22 20 20 6 20 140 85
'13.1' 2012 0 1 25 23 19 27 28 25 4 24 88 27
'12.85' 2012 1 1 20 18 12 26 21 26 4 20 168 25
'9.5' 2012 1 1 23 23 8 23 25 19 4 4 94 22
'4.5' 2012 1 1 21 20 17 22 18 21 6 24 51 19
'11.85' 2012 0 0 23 20 13 26 24 23 8 22 48 14
'13.6' 2012 1 1 23 23 17 22 28 24 10 16 145 45
'11.7' 2012 1 1 11 13 7 17 9 6 4 3 66 45
'12.4' 2012 0 1 21 21 23 25 22 22 5 15 85 28
'13.35' 2012 1 0 27 26 18 22 26 21 4 24 109 51
'11.4' 2012 0 0 19 18 13 28 28 28 4 17 63 41
'14.9' 2012 0 1 21 19 17 22 18 24 4 20 102 31
'19.9' 2012 0 0 16 18 13 21 23 14 16 27 162 74
'11.2' 2012 0 1 21 18 8 24 15 20 7 26 86 19
'14.6' 2012 0 1 22 19 16 26 24 28 4 23 114 51
'17.6' 2012 1 0 16 13 14 26 12 19 4 17 164 73
'14.05' 2012 1 1 18 10 13 24 12 24 14 20 119 24
'16.1' 2012 1 0 23 21 19 27 20 21 5 22 126 61
'13.35' 2012 1 1 24 24 15 22 25 21 5 19 132 23
'11.85' 2012 1 1 20 21 15 23 24 26 5 24 142 14
'11.95' 2012 1 0 20 23 8 22 23 24 5 19 83 54
'14.75' 2012 0 1 18 18 14 23 18 26 7 23 94 51
'15.15' 2012 0 0 4 11 7 15 20 25 19 15 81 62
'13.2' 2012 1 1 14 16 11 20 22 23 16 27 166 36
'16.85' 2012 0 0 22 20 17 22 20 24 4 26 110 59
'7.85' 2012 0 1 17 20 19 25 25 24 4 22 64 24
'7.7' 2012 1 0 23 26 17 27 28 26 7 22 93 26
'12.6' 2012 0 0 20 21 12 24 25 23 9 18 104 54
'7.85' 2012 0 1 18 12 12 21 14 20 5 15 105 39
'10.95' 2012 0 1 19 15 18 17 16 16 14 22 49 16
'12.35' 2012 0 0 20 18 16 26 24 24 4 27 88 36
'9.95' 2012 0 1 15 14 15 20 13 20 16 10 95 31
'14.9' 2012 0 1 24 18 20 22 19 23 10 20 102 31
'16.65' 2012 0 0 21 16 16 24 18 23 5 17 99 42
'13.4' 2012 0 1 19 19 12 23 16 18 6 23 63 39
'13.95' 2012 0 0 19 7 10 22 8 21 4 19 76 25
'15.7' 2012 0 0 27 21 28 28 27 25 4 13 109 31
'16.85' 2012 0 1 23 24 19 21 23 23 4 27 117 38
'10.95' 2012 0 1 23 21 18 24 20 26 5 23 57 31
'15.35' 2012 0 0 20 20 19 28 20 26 4 16 120 17
'12.2' 2012 0 1 17 22 8 25 26 24 4 25 73 22
'15.1' 2012 0 0 21 17 17 24 23 23 5 2 91 55
'17.75' 2012 0 0 23 19 16 24 24 21 4 26 108 62
'15.2' 2012 0 1 22 20 18 21 21 23 4 20 105 51
'14.6' 2012 1 0 16 16 12 20 15 20 5 23 117 30
'16.65' 2012 0 0 20 20 17 26 22 23 8 22 119 49
'8.1' 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 time12 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 12 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=262965&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]12 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=262965&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=262965&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 time12 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







Multiple Linear Regression - Estimated Regression Equation
TOT[t] = -8804.74 + 4.38202Year[t] -1.20088GroupN[t] -0.537182gender[t] + 0.0390845AMS.I1[t] -0.0256686AMS.I2[t] -0.04533AMS.I3[t] -0.0558391AMS.E1[t] + 0.0106401AMS.E2[t] -0.0439201AMS.E3[t] -0.0655582AMS.A[t] + 0.0444046NUMERACYTOT[t] + 0.0379669LFM[t] + 0.0310506CH[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
TOT[t] =  -8804.74 +  4.38202Year[t] -1.20088GroupN[t] -0.537182gender[t] +  0.0390845AMS.I1[t] -0.0256686AMS.I2[t] -0.04533AMS.I3[t] -0.0558391AMS.E1[t] +  0.0106401AMS.E2[t] -0.0439201AMS.E3[t] -0.0655582AMS.A[t] +  0.0444046NUMERACYTOT[t] +  0.0379669LFM[t] +  0.0310506CH[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=262965&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]TOT[t] =  -8804.74 +  4.38202Year[t] -1.20088GroupN[t] -0.537182gender[t] +  0.0390845AMS.I1[t] -0.0256686AMS.I2[t] -0.04533AMS.I3[t] -0.0558391AMS.E1[t] +  0.0106401AMS.E2[t] -0.0439201AMS.E3[t] -0.0655582AMS.A[t] +  0.0444046NUMERACYTOT[t] +  0.0379669LFM[t] +  0.0310506CH[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=262965&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=262965&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
TOT[t] = -8804.74 + 4.38202Year[t] -1.20088GroupN[t] -0.537182gender[t] + 0.0390845AMS.I1[t] -0.0256686AMS.I2[t] -0.04533AMS.I3[t] -0.0558391AMS.E1[t] + 0.0106401AMS.E2[t] -0.0439201AMS.E3[t] -0.0655582AMS.A[t] + 0.0444046NUMERACYTOT[t] + 0.0379669LFM[t] + 0.0310506CH[t] + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-8804.74596.496-14.762.31668e-361.15834e-36
Year4.382020.29649314.781.98988e-369.94941e-37
GroupN-1.200880.337866-3.5540.0004488730.000224437
gender-0.5371820.295766-1.8160.07046780.0352339
AMS.I10.03908450.05713040.68410.4944940.247247
AMS.I2-0.02566860.0499531-0.51390.6077840.303892
AMS.I3-0.045330.0429407-1.0560.2920970.146048
AMS.E1-0.05583910.0595308-0.9380.3491090.174555
AMS.E20.01064010.04059620.26210.7934510.396726
AMS.E3-0.04392010.0490035-0.89630.3709280.185464
AMS.A-0.06555820.0489961-1.3380.1820390.0910194
NUMERACYTOT0.04440460.02812751.5790.1156040.0578021
LFM0.03796690.004647158.171.28865e-146.44324e-15
CH0.03105060.0083353.7250.000238550.000119275

\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) & -8804.74 & 596.496 & -14.76 & 2.31668e-36 & 1.15834e-36 \tabularnewline
Year & 4.38202 & 0.296493 & 14.78 & 1.98988e-36 & 9.94941e-37 \tabularnewline
GroupN & -1.20088 & 0.337866 & -3.554 & 0.000448873 & 0.000224437 \tabularnewline
gender & -0.537182 & 0.295766 & -1.816 & 0.0704678 & 0.0352339 \tabularnewline
AMS.I1 & 0.0390845 & 0.0571304 & 0.6841 & 0.494494 & 0.247247 \tabularnewline
AMS.I2 & -0.0256686 & 0.0499531 & -0.5139 & 0.607784 & 0.303892 \tabularnewline
AMS.I3 & -0.04533 & 0.0429407 & -1.056 & 0.292097 & 0.146048 \tabularnewline
AMS.E1 & -0.0558391 & 0.0595308 & -0.938 & 0.349109 & 0.174555 \tabularnewline
AMS.E2 & 0.0106401 & 0.0405962 & 0.2621 & 0.793451 & 0.396726 \tabularnewline
AMS.E3 & -0.0439201 & 0.0490035 & -0.8963 & 0.370928 & 0.185464 \tabularnewline
AMS.A & -0.0655582 & 0.0489961 & -1.338 & 0.182039 & 0.0910194 \tabularnewline
NUMERACYTOT & 0.0444046 & 0.0281275 & 1.579 & 0.115604 & 0.0578021 \tabularnewline
LFM & 0.0379669 & 0.00464715 & 8.17 & 1.28865e-14 & 6.44324e-15 \tabularnewline
CH & 0.0310506 & 0.008335 & 3.725 & 0.00023855 & 0.000119275 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=262965&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]-8804.74[/C][C]596.496[/C][C]-14.76[/C][C]2.31668e-36[/C][C]1.15834e-36[/C][/ROW]
[ROW][C]Year[/C][C]4.38202[/C][C]0.296493[/C][C]14.78[/C][C]1.98988e-36[/C][C]9.94941e-37[/C][/ROW]
[ROW][C]GroupN[/C][C]-1.20088[/C][C]0.337866[/C][C]-3.554[/C][C]0.000448873[/C][C]0.000224437[/C][/ROW]
[ROW][C]gender[/C][C]-0.537182[/C][C]0.295766[/C][C]-1.816[/C][C]0.0704678[/C][C]0.0352339[/C][/ROW]
[ROW][C]AMS.I1[/C][C]0.0390845[/C][C]0.0571304[/C][C]0.6841[/C][C]0.494494[/C][C]0.247247[/C][/ROW]
[ROW][C]AMS.I2[/C][C]-0.0256686[/C][C]0.0499531[/C][C]-0.5139[/C][C]0.607784[/C][C]0.303892[/C][/ROW]
[ROW][C]AMS.I3[/C][C]-0.04533[/C][C]0.0429407[/C][C]-1.056[/C][C]0.292097[/C][C]0.146048[/C][/ROW]
[ROW][C]AMS.E1[/C][C]-0.0558391[/C][C]0.0595308[/C][C]-0.938[/C][C]0.349109[/C][C]0.174555[/C][/ROW]
[ROW][C]AMS.E2[/C][C]0.0106401[/C][C]0.0405962[/C][C]0.2621[/C][C]0.793451[/C][C]0.396726[/C][/ROW]
[ROW][C]AMS.E3[/C][C]-0.0439201[/C][C]0.0490035[/C][C]-0.8963[/C][C]0.370928[/C][C]0.185464[/C][/ROW]
[ROW][C]AMS.A[/C][C]-0.0655582[/C][C]0.0489961[/C][C]-1.338[/C][C]0.182039[/C][C]0.0910194[/C][/ROW]
[ROW][C]NUMERACYTOT[/C][C]0.0444046[/C][C]0.0281275[/C][C]1.579[/C][C]0.115604[/C][C]0.0578021[/C][/ROW]
[ROW][C]LFM[/C][C]0.0379669[/C][C]0.00464715[/C][C]8.17[/C][C]1.28865e-14[/C][C]6.44324e-15[/C][/ROW]
[ROW][C]CH[/C][C]0.0310506[/C][C]0.008335[/C][C]3.725[/C][C]0.00023855[/C][C]0.000119275[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=262965&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=262965&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)-8804.74596.496-14.762.31668e-361.15834e-36
Year4.382020.29649314.781.98988e-369.94941e-37
GroupN-1.200880.337866-3.5540.0004488730.000224437
gender-0.5371820.295766-1.8160.07046780.0352339
AMS.I10.03908450.05713040.68410.4944940.247247
AMS.I2-0.02566860.0499531-0.51390.6077840.303892
AMS.I3-0.045330.0429407-1.0560.2920970.146048
AMS.E1-0.05583910.0595308-0.9380.3491090.174555
AMS.E20.01064010.04059620.26210.7934510.396726
AMS.E3-0.04392010.0490035-0.89630.3709280.185464
AMS.A-0.06555820.0489961-1.3380.1820390.0910194
NUMERACYTOT0.04440460.02812751.5790.1156040.0578021
LFM0.03796690.004647158.171.28865e-146.44324e-15
CH0.03105060.0083353.7250.000238550.000119275







Multiple Linear Regression - Regression Statistics
Multiple R0.751455
R-squared0.564684
Adjusted R-squared0.543248
F-TEST (value)26.3428
F-TEST (DF numerator)13
F-TEST (DF denominator)264
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.29402
Sum Squared Residuals1389.31

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.751455 \tabularnewline
R-squared & 0.564684 \tabularnewline
Adjusted R-squared & 0.543248 \tabularnewline
F-TEST (value) & 26.3428 \tabularnewline
F-TEST (DF numerator) & 13 \tabularnewline
F-TEST (DF denominator) & 264 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.29402 \tabularnewline
Sum Squared Residuals & 1389.31 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=262965&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.751455[/C][/ROW]
[ROW][C]R-squared[/C][C]0.564684[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.543248[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]26.3428[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]13[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]264[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]2.29402[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]1389.31[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=262965&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=262965&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 R0.751455
R-squared0.564684
Adjusted R-squared0.543248
F-TEST (value)26.3428
F-TEST (DF numerator)13
F-TEST (DF denominator)264
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.29402
Sum Squared Residuals1389.31







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
112.912.89170.00831484
212.210.43531.76468
312.811.60261.1974
47.411.6694-4.26942
56.710.2597-3.55966
612.613.2162-0.616212
714.811.79413.00587
813.310.69092.60907
911.111.4422-0.342204
108.212.0351-3.83506
1111.411.5411-0.141138
126.411.6747-5.27474
1310.68.705831.89417
141213.6098-1.60979
156.36.62529-0.325293
1611.39.165862.13414
1711.912.2684-0.368357
189.310.0811-0.781092
199.611.7897-2.18967
20109.474170.525827
216.49.82655-3.42655
2213.810.39353.40647
2310.814.006-3.20601
2413.812.89610.903912
2511.711.18690.513061
2610.915.0332-4.13325
2716.113.25172.84831
2813.410.49062.90944
299.911.4887-1.58875
3011.511.31130.188655
318.39.11226-0.812256
3211.711.42630.273728
3399.57727-0.577265
349.711.8546-2.1546
3510.89.039761.76024
3610.38.545321.75468
3710.411.2554-0.855438
3812.710.3872.31304
399.311.764-2.46398
4011.812.5312-0.731213
415.99.78196-3.88196
4211.411.17220.227835
431311.99371.0063
4410.812.0663-1.2663
4512.38.429473.87053
4611.312.9483-1.64828
4711.89.667462.13254
487.99.4007-1.5007
4912.79.577233.12277
5012.39.161053.13895
5111.610.51741.08261
526.77.43132-0.731325
5310.910.47540.424649
5412.111.31730.782679
5513.310.15873.14129
5610.19.951440.148563
575.711.0666-5.36659
5814.39.713034.58697
5987.658480.341525
6013.310.88452.41553
619.313.032-3.73197
6212.511.00611.49389
637.68.69107-1.09107
6415.913.96541.93457
659.212.2037-3.00372
669.18.444690.655315
6711.112.5673-1.46731
681315.2582-2.25819
6914.511.99712.50288
7012.210.9531.24705
7112.313.0686-0.768576
7211.410.35221.04783
738.89.79306-0.993065
7414.610.87153.72855
7512.611.22481.37524
761311.98391.01609
7712.610.71981.88024
7813.212.52820.671822
799.99.124930.775073
807.79.69085-1.99085
8110.510.5199-0.0198717
8213.410.49172.90834
8310.910.42520.474776
844.39.06899-4.76899
8510.311.6495-1.34953
8611.811.08230.717731
8711.28.92232.2777
8811.48.780712.61929
898.69.97078-1.37078
9013.211.47291.72713
9112.68.851883.74812
925.610.1968-4.59676
939.911.7742-1.87418
948.89.78217-0.982174
957.79.38797-1.68797
96910.5515-1.55155
977.310.9513-3.65132
9811.49.153692.24631
9913.69.48024.1198
1007.910.1524-2.25237
10110.78.630822.06918
10210.39.893790.406207
1038.38.97457-0.674574
1049.610.8834-1.28341
10514.210.30693.89306
1068.510.1098-1.6098
10713.59.690583.80942
1084.99.91586-5.01586
1096.47.98624-1.58624
1109.610.7661-1.16614
11111.610.73960.860412
11211.19.336411.76359
1134.3510.8964-6.54635
11412.711.5831.11701
11518.115.20672.89327
11617.8515.11592.73408
11716.618.2163-1.61632
11812.611.97550.624481
11917.118.1898-1.08985
12019.117.0552.04503
12116.118.5789-2.47892
12213.3511.79331.55669
12318.416.29372.10635
12414.710.06954.63055
12510.612.836-2.23604
12612.612.9204-0.320387
12716.214.48121.7188
12813.613.7833-0.183321
12918.916.34452.55551
13014.113.12760.972389
13114.513.27981.22023
13216.1517.1149-0.964942
13314.7513.71411.03591
13414.813.56461.23542
13512.4512.4545-0.00448606
13612.6512.785-0.134962
13717.3514.08443.26558
1388.610.5666-1.9666
13918.416.56431.83575
14016.115.28860.811417
14111.612.2161-0.616112
14217.7515.05742.69264
14315.2514.78830.461739
14417.6514.27693.37307
14516.3516.4662-0.116168
14617.6516.91280.737224
14713.614.0109-0.410936
14814.3514.7309-0.380942
14914.7515.1329-0.382888
15018.2515.71672.53334
1519.915.8284-5.92839
1521615.16790.832051
15318.2515.6792.57096
15416.8517.0551-0.205095
15514.612.37212.2279
15613.8514.7118-0.861829
15718.9517.52081.42916
15815.614.71310.886897
15914.8516.8595-2.00953
16011.7514.4619-2.71191
16118.4517.14771.30233
16215.913.93271.9673
16317.117.5687-0.468732
16416.19.723636.37637
16519.919.15350.746522
16610.9510.77320.176809
16718.4517.03811.41192
16815.113.75391.34615
1691515.0935-0.0935048
17011.3514.2265-2.87647
17115.9514.74161.20837
17218.115.78022.31981
17314.616.6572-2.05721
17415.415.8436-0.443631
17515.415.7847-0.384673
17617.615.08452.51548
17713.3514.8689-1.51894
17819.116.43122.66881
17915.3516.5704-1.22044
1807.611.1833-3.58332
18113.415.8372-2.43722
18213.916.2877-2.38768
18319.116.742.35999
18415.2515.3239-0.0739322
18512.915.7153-2.8153
18616.115.74550.354539
18717.3514.53682.81321
18813.1515.2602-2.11016
18912.1513.9864-1.83636
19012.612.59930.000738149
19110.3513.1525-2.80253
19215.414.24361.1564
1939.612.5096-2.90961
19418.214.90283.29723
19513.614.2256-0.625637
19614.8513.74791.10208
19714.7516.8649-2.11486
19814.113.89840.20163
19914.913.31821.58184
20016.2515.32890.921093
20119.2517.67381.57623
20213.613.31840.281604
20313.615.2806-1.68061
20415.6515.68-0.0300351
20512.7512.7836-0.0336261
20614.613.39411.2059
2079.8511.149-1.29896
20812.6512.9431-0.293137
20919.216.72712.47291
21016.614.7491.85101
21111.212.3032-1.10319
21215.2515.20590.0440728
21311.914.3782-2.47818
21413.213.5962-0.396181
21516.3516.9704-0.620442
21612.412.5744-0.174439
21715.8514.51521.33481
21818.1516.14982.00017
21911.1513.109-1.95905
22015.6516.5706-0.920603
22117.7514.79232.95774
2227.6511.4696-3.81965
22312.3513.4998-1.14977
22415.613.57152.02851
22519.316.37662.92341
22615.212.48952.7105
22717.114.54322.55677
22815.613.53552.0645
22918.415.28493.11508
23019.0515.77313.27689
23118.5514.98113.56887
23219.117.30661.79338
23313.113.5478-0.447848
23412.8515.3323-2.48227
2359.512.4068-2.90684
2364.510.9225-6.42247
23711.8512.1836-0.333589
23813.614.657-1.05701
23911.712.5823-0.882279
24012.412.8931-0.493075
24113.3514.9068-1.55676
24211.413.2379-1.83795
24314.914.27970.620321
24419.918.5141.38601
24511.213.8351-2.63507
24614.615.2387-0.638727
24717.617.16780.432179
24814.0512.97091.07914
24916.115.2920.808029
25013.3514.1452-0.795249
25111.8514.1021-2.25207
25211.9513.8182-1.86822
25314.7514.43420.315779
25415.1514.13921.01083
25513.215.4616-2.26162
25616.8516.29110.558863
2577.8512.3427-4.49269
2587.712.649-4.94901
25912.615.3333-2.73331
2607.8514.8324-6.98244
26110.9511.8234-0.873352
26212.3514.6238-2.27381
2639.9513.0018-3.05182
26414.913.94780.952177
26516.6514.90031.74968
26613.413.38440.0156466
26713.9514.1715-0.221536
26815.714.17311.52686
26916.8515.38951.4605
27010.9512.4421-1.49209
27115.3514.33091.01907
27212.213.2134-1.01344
27315.114.31640.783622
27417.7516.48111.26892
27515.215.11440.0856427
27614.614.58580.0142415
27716.6515.64621.00384
2788.111.0472-2.94717

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 12.9 & 12.8917 & 0.00831484 \tabularnewline
2 & 12.2 & 10.4353 & 1.76468 \tabularnewline
3 & 12.8 & 11.6026 & 1.1974 \tabularnewline
4 & 7.4 & 11.6694 & -4.26942 \tabularnewline
5 & 6.7 & 10.2597 & -3.55966 \tabularnewline
6 & 12.6 & 13.2162 & -0.616212 \tabularnewline
7 & 14.8 & 11.7941 & 3.00587 \tabularnewline
8 & 13.3 & 10.6909 & 2.60907 \tabularnewline
9 & 11.1 & 11.4422 & -0.342204 \tabularnewline
10 & 8.2 & 12.0351 & -3.83506 \tabularnewline
11 & 11.4 & 11.5411 & -0.141138 \tabularnewline
12 & 6.4 & 11.6747 & -5.27474 \tabularnewline
13 & 10.6 & 8.70583 & 1.89417 \tabularnewline
14 & 12 & 13.6098 & -1.60979 \tabularnewline
15 & 6.3 & 6.62529 & -0.325293 \tabularnewline
16 & 11.3 & 9.16586 & 2.13414 \tabularnewline
17 & 11.9 & 12.2684 & -0.368357 \tabularnewline
18 & 9.3 & 10.0811 & -0.781092 \tabularnewline
19 & 9.6 & 11.7897 & -2.18967 \tabularnewline
20 & 10 & 9.47417 & 0.525827 \tabularnewline
21 & 6.4 & 9.82655 & -3.42655 \tabularnewline
22 & 13.8 & 10.3935 & 3.40647 \tabularnewline
23 & 10.8 & 14.006 & -3.20601 \tabularnewline
24 & 13.8 & 12.8961 & 0.903912 \tabularnewline
25 & 11.7 & 11.1869 & 0.513061 \tabularnewline
26 & 10.9 & 15.0332 & -4.13325 \tabularnewline
27 & 16.1 & 13.2517 & 2.84831 \tabularnewline
28 & 13.4 & 10.4906 & 2.90944 \tabularnewline
29 & 9.9 & 11.4887 & -1.58875 \tabularnewline
30 & 11.5 & 11.3113 & 0.188655 \tabularnewline
31 & 8.3 & 9.11226 & -0.812256 \tabularnewline
32 & 11.7 & 11.4263 & 0.273728 \tabularnewline
33 & 9 & 9.57727 & -0.577265 \tabularnewline
34 & 9.7 & 11.8546 & -2.1546 \tabularnewline
35 & 10.8 & 9.03976 & 1.76024 \tabularnewline
36 & 10.3 & 8.54532 & 1.75468 \tabularnewline
37 & 10.4 & 11.2554 & -0.855438 \tabularnewline
38 & 12.7 & 10.387 & 2.31304 \tabularnewline
39 & 9.3 & 11.764 & -2.46398 \tabularnewline
40 & 11.8 & 12.5312 & -0.731213 \tabularnewline
41 & 5.9 & 9.78196 & -3.88196 \tabularnewline
42 & 11.4 & 11.1722 & 0.227835 \tabularnewline
43 & 13 & 11.9937 & 1.0063 \tabularnewline
44 & 10.8 & 12.0663 & -1.2663 \tabularnewline
45 & 12.3 & 8.42947 & 3.87053 \tabularnewline
46 & 11.3 & 12.9483 & -1.64828 \tabularnewline
47 & 11.8 & 9.66746 & 2.13254 \tabularnewline
48 & 7.9 & 9.4007 & -1.5007 \tabularnewline
49 & 12.7 & 9.57723 & 3.12277 \tabularnewline
50 & 12.3 & 9.16105 & 3.13895 \tabularnewline
51 & 11.6 & 10.5174 & 1.08261 \tabularnewline
52 & 6.7 & 7.43132 & -0.731325 \tabularnewline
53 & 10.9 & 10.4754 & 0.424649 \tabularnewline
54 & 12.1 & 11.3173 & 0.782679 \tabularnewline
55 & 13.3 & 10.1587 & 3.14129 \tabularnewline
56 & 10.1 & 9.95144 & 0.148563 \tabularnewline
57 & 5.7 & 11.0666 & -5.36659 \tabularnewline
58 & 14.3 & 9.71303 & 4.58697 \tabularnewline
59 & 8 & 7.65848 & 0.341525 \tabularnewline
60 & 13.3 & 10.8845 & 2.41553 \tabularnewline
61 & 9.3 & 13.032 & -3.73197 \tabularnewline
62 & 12.5 & 11.0061 & 1.49389 \tabularnewline
63 & 7.6 & 8.69107 & -1.09107 \tabularnewline
64 & 15.9 & 13.9654 & 1.93457 \tabularnewline
65 & 9.2 & 12.2037 & -3.00372 \tabularnewline
66 & 9.1 & 8.44469 & 0.655315 \tabularnewline
67 & 11.1 & 12.5673 & -1.46731 \tabularnewline
68 & 13 & 15.2582 & -2.25819 \tabularnewline
69 & 14.5 & 11.9971 & 2.50288 \tabularnewline
70 & 12.2 & 10.953 & 1.24705 \tabularnewline
71 & 12.3 & 13.0686 & -0.768576 \tabularnewline
72 & 11.4 & 10.3522 & 1.04783 \tabularnewline
73 & 8.8 & 9.79306 & -0.993065 \tabularnewline
74 & 14.6 & 10.8715 & 3.72855 \tabularnewline
75 & 12.6 & 11.2248 & 1.37524 \tabularnewline
76 & 13 & 11.9839 & 1.01609 \tabularnewline
77 & 12.6 & 10.7198 & 1.88024 \tabularnewline
78 & 13.2 & 12.5282 & 0.671822 \tabularnewline
79 & 9.9 & 9.12493 & 0.775073 \tabularnewline
80 & 7.7 & 9.69085 & -1.99085 \tabularnewline
81 & 10.5 & 10.5199 & -0.0198717 \tabularnewline
82 & 13.4 & 10.4917 & 2.90834 \tabularnewline
83 & 10.9 & 10.4252 & 0.474776 \tabularnewline
84 & 4.3 & 9.06899 & -4.76899 \tabularnewline
85 & 10.3 & 11.6495 & -1.34953 \tabularnewline
86 & 11.8 & 11.0823 & 0.717731 \tabularnewline
87 & 11.2 & 8.9223 & 2.2777 \tabularnewline
88 & 11.4 & 8.78071 & 2.61929 \tabularnewline
89 & 8.6 & 9.97078 & -1.37078 \tabularnewline
90 & 13.2 & 11.4729 & 1.72713 \tabularnewline
91 & 12.6 & 8.85188 & 3.74812 \tabularnewline
92 & 5.6 & 10.1968 & -4.59676 \tabularnewline
93 & 9.9 & 11.7742 & -1.87418 \tabularnewline
94 & 8.8 & 9.78217 & -0.982174 \tabularnewline
95 & 7.7 & 9.38797 & -1.68797 \tabularnewline
96 & 9 & 10.5515 & -1.55155 \tabularnewline
97 & 7.3 & 10.9513 & -3.65132 \tabularnewline
98 & 11.4 & 9.15369 & 2.24631 \tabularnewline
99 & 13.6 & 9.4802 & 4.1198 \tabularnewline
100 & 7.9 & 10.1524 & -2.25237 \tabularnewline
101 & 10.7 & 8.63082 & 2.06918 \tabularnewline
102 & 10.3 & 9.89379 & 0.406207 \tabularnewline
103 & 8.3 & 8.97457 & -0.674574 \tabularnewline
104 & 9.6 & 10.8834 & -1.28341 \tabularnewline
105 & 14.2 & 10.3069 & 3.89306 \tabularnewline
106 & 8.5 & 10.1098 & -1.6098 \tabularnewline
107 & 13.5 & 9.69058 & 3.80942 \tabularnewline
108 & 4.9 & 9.91586 & -5.01586 \tabularnewline
109 & 6.4 & 7.98624 & -1.58624 \tabularnewline
110 & 9.6 & 10.7661 & -1.16614 \tabularnewline
111 & 11.6 & 10.7396 & 0.860412 \tabularnewline
112 & 11.1 & 9.33641 & 1.76359 \tabularnewline
113 & 4.35 & 10.8964 & -6.54635 \tabularnewline
114 & 12.7 & 11.583 & 1.11701 \tabularnewline
115 & 18.1 & 15.2067 & 2.89327 \tabularnewline
116 & 17.85 & 15.1159 & 2.73408 \tabularnewline
117 & 16.6 & 18.2163 & -1.61632 \tabularnewline
118 & 12.6 & 11.9755 & 0.624481 \tabularnewline
119 & 17.1 & 18.1898 & -1.08985 \tabularnewline
120 & 19.1 & 17.055 & 2.04503 \tabularnewline
121 & 16.1 & 18.5789 & -2.47892 \tabularnewline
122 & 13.35 & 11.7933 & 1.55669 \tabularnewline
123 & 18.4 & 16.2937 & 2.10635 \tabularnewline
124 & 14.7 & 10.0695 & 4.63055 \tabularnewline
125 & 10.6 & 12.836 & -2.23604 \tabularnewline
126 & 12.6 & 12.9204 & -0.320387 \tabularnewline
127 & 16.2 & 14.4812 & 1.7188 \tabularnewline
128 & 13.6 & 13.7833 & -0.183321 \tabularnewline
129 & 18.9 & 16.3445 & 2.55551 \tabularnewline
130 & 14.1 & 13.1276 & 0.972389 \tabularnewline
131 & 14.5 & 13.2798 & 1.22023 \tabularnewline
132 & 16.15 & 17.1149 & -0.964942 \tabularnewline
133 & 14.75 & 13.7141 & 1.03591 \tabularnewline
134 & 14.8 & 13.5646 & 1.23542 \tabularnewline
135 & 12.45 & 12.4545 & -0.00448606 \tabularnewline
136 & 12.65 & 12.785 & -0.134962 \tabularnewline
137 & 17.35 & 14.0844 & 3.26558 \tabularnewline
138 & 8.6 & 10.5666 & -1.9666 \tabularnewline
139 & 18.4 & 16.5643 & 1.83575 \tabularnewline
140 & 16.1 & 15.2886 & 0.811417 \tabularnewline
141 & 11.6 & 12.2161 & -0.616112 \tabularnewline
142 & 17.75 & 15.0574 & 2.69264 \tabularnewline
143 & 15.25 & 14.7883 & 0.461739 \tabularnewline
144 & 17.65 & 14.2769 & 3.37307 \tabularnewline
145 & 16.35 & 16.4662 & -0.116168 \tabularnewline
146 & 17.65 & 16.9128 & 0.737224 \tabularnewline
147 & 13.6 & 14.0109 & -0.410936 \tabularnewline
148 & 14.35 & 14.7309 & -0.380942 \tabularnewline
149 & 14.75 & 15.1329 & -0.382888 \tabularnewline
150 & 18.25 & 15.7167 & 2.53334 \tabularnewline
151 & 9.9 & 15.8284 & -5.92839 \tabularnewline
152 & 16 & 15.1679 & 0.832051 \tabularnewline
153 & 18.25 & 15.679 & 2.57096 \tabularnewline
154 & 16.85 & 17.0551 & -0.205095 \tabularnewline
155 & 14.6 & 12.3721 & 2.2279 \tabularnewline
156 & 13.85 & 14.7118 & -0.861829 \tabularnewline
157 & 18.95 & 17.5208 & 1.42916 \tabularnewline
158 & 15.6 & 14.7131 & 0.886897 \tabularnewline
159 & 14.85 & 16.8595 & -2.00953 \tabularnewline
160 & 11.75 & 14.4619 & -2.71191 \tabularnewline
161 & 18.45 & 17.1477 & 1.30233 \tabularnewline
162 & 15.9 & 13.9327 & 1.9673 \tabularnewline
163 & 17.1 & 17.5687 & -0.468732 \tabularnewline
164 & 16.1 & 9.72363 & 6.37637 \tabularnewline
165 & 19.9 & 19.1535 & 0.746522 \tabularnewline
166 & 10.95 & 10.7732 & 0.176809 \tabularnewline
167 & 18.45 & 17.0381 & 1.41192 \tabularnewline
168 & 15.1 & 13.7539 & 1.34615 \tabularnewline
169 & 15 & 15.0935 & -0.0935048 \tabularnewline
170 & 11.35 & 14.2265 & -2.87647 \tabularnewline
171 & 15.95 & 14.7416 & 1.20837 \tabularnewline
172 & 18.1 & 15.7802 & 2.31981 \tabularnewline
173 & 14.6 & 16.6572 & -2.05721 \tabularnewline
174 & 15.4 & 15.8436 & -0.443631 \tabularnewline
175 & 15.4 & 15.7847 & -0.384673 \tabularnewline
176 & 17.6 & 15.0845 & 2.51548 \tabularnewline
177 & 13.35 & 14.8689 & -1.51894 \tabularnewline
178 & 19.1 & 16.4312 & 2.66881 \tabularnewline
179 & 15.35 & 16.5704 & -1.22044 \tabularnewline
180 & 7.6 & 11.1833 & -3.58332 \tabularnewline
181 & 13.4 & 15.8372 & -2.43722 \tabularnewline
182 & 13.9 & 16.2877 & -2.38768 \tabularnewline
183 & 19.1 & 16.74 & 2.35999 \tabularnewline
184 & 15.25 & 15.3239 & -0.0739322 \tabularnewline
185 & 12.9 & 15.7153 & -2.8153 \tabularnewline
186 & 16.1 & 15.7455 & 0.354539 \tabularnewline
187 & 17.35 & 14.5368 & 2.81321 \tabularnewline
188 & 13.15 & 15.2602 & -2.11016 \tabularnewline
189 & 12.15 & 13.9864 & -1.83636 \tabularnewline
190 & 12.6 & 12.5993 & 0.000738149 \tabularnewline
191 & 10.35 & 13.1525 & -2.80253 \tabularnewline
192 & 15.4 & 14.2436 & 1.1564 \tabularnewline
193 & 9.6 & 12.5096 & -2.90961 \tabularnewline
194 & 18.2 & 14.9028 & 3.29723 \tabularnewline
195 & 13.6 & 14.2256 & -0.625637 \tabularnewline
196 & 14.85 & 13.7479 & 1.10208 \tabularnewline
197 & 14.75 & 16.8649 & -2.11486 \tabularnewline
198 & 14.1 & 13.8984 & 0.20163 \tabularnewline
199 & 14.9 & 13.3182 & 1.58184 \tabularnewline
200 & 16.25 & 15.3289 & 0.921093 \tabularnewline
201 & 19.25 & 17.6738 & 1.57623 \tabularnewline
202 & 13.6 & 13.3184 & 0.281604 \tabularnewline
203 & 13.6 & 15.2806 & -1.68061 \tabularnewline
204 & 15.65 & 15.68 & -0.0300351 \tabularnewline
205 & 12.75 & 12.7836 & -0.0336261 \tabularnewline
206 & 14.6 & 13.3941 & 1.2059 \tabularnewline
207 & 9.85 & 11.149 & -1.29896 \tabularnewline
208 & 12.65 & 12.9431 & -0.293137 \tabularnewline
209 & 19.2 & 16.7271 & 2.47291 \tabularnewline
210 & 16.6 & 14.749 & 1.85101 \tabularnewline
211 & 11.2 & 12.3032 & -1.10319 \tabularnewline
212 & 15.25 & 15.2059 & 0.0440728 \tabularnewline
213 & 11.9 & 14.3782 & -2.47818 \tabularnewline
214 & 13.2 & 13.5962 & -0.396181 \tabularnewline
215 & 16.35 & 16.9704 & -0.620442 \tabularnewline
216 & 12.4 & 12.5744 & -0.174439 \tabularnewline
217 & 15.85 & 14.5152 & 1.33481 \tabularnewline
218 & 18.15 & 16.1498 & 2.00017 \tabularnewline
219 & 11.15 & 13.109 & -1.95905 \tabularnewline
220 & 15.65 & 16.5706 & -0.920603 \tabularnewline
221 & 17.75 & 14.7923 & 2.95774 \tabularnewline
222 & 7.65 & 11.4696 & -3.81965 \tabularnewline
223 & 12.35 & 13.4998 & -1.14977 \tabularnewline
224 & 15.6 & 13.5715 & 2.02851 \tabularnewline
225 & 19.3 & 16.3766 & 2.92341 \tabularnewline
226 & 15.2 & 12.4895 & 2.7105 \tabularnewline
227 & 17.1 & 14.5432 & 2.55677 \tabularnewline
228 & 15.6 & 13.5355 & 2.0645 \tabularnewline
229 & 18.4 & 15.2849 & 3.11508 \tabularnewline
230 & 19.05 & 15.7731 & 3.27689 \tabularnewline
231 & 18.55 & 14.9811 & 3.56887 \tabularnewline
232 & 19.1 & 17.3066 & 1.79338 \tabularnewline
233 & 13.1 & 13.5478 & -0.447848 \tabularnewline
234 & 12.85 & 15.3323 & -2.48227 \tabularnewline
235 & 9.5 & 12.4068 & -2.90684 \tabularnewline
236 & 4.5 & 10.9225 & -6.42247 \tabularnewline
237 & 11.85 & 12.1836 & -0.333589 \tabularnewline
238 & 13.6 & 14.657 & -1.05701 \tabularnewline
239 & 11.7 & 12.5823 & -0.882279 \tabularnewline
240 & 12.4 & 12.8931 & -0.493075 \tabularnewline
241 & 13.35 & 14.9068 & -1.55676 \tabularnewline
242 & 11.4 & 13.2379 & -1.83795 \tabularnewline
243 & 14.9 & 14.2797 & 0.620321 \tabularnewline
244 & 19.9 & 18.514 & 1.38601 \tabularnewline
245 & 11.2 & 13.8351 & -2.63507 \tabularnewline
246 & 14.6 & 15.2387 & -0.638727 \tabularnewline
247 & 17.6 & 17.1678 & 0.432179 \tabularnewline
248 & 14.05 & 12.9709 & 1.07914 \tabularnewline
249 & 16.1 & 15.292 & 0.808029 \tabularnewline
250 & 13.35 & 14.1452 & -0.795249 \tabularnewline
251 & 11.85 & 14.1021 & -2.25207 \tabularnewline
252 & 11.95 & 13.8182 & -1.86822 \tabularnewline
253 & 14.75 & 14.4342 & 0.315779 \tabularnewline
254 & 15.15 & 14.1392 & 1.01083 \tabularnewline
255 & 13.2 & 15.4616 & -2.26162 \tabularnewline
256 & 16.85 & 16.2911 & 0.558863 \tabularnewline
257 & 7.85 & 12.3427 & -4.49269 \tabularnewline
258 & 7.7 & 12.649 & -4.94901 \tabularnewline
259 & 12.6 & 15.3333 & -2.73331 \tabularnewline
260 & 7.85 & 14.8324 & -6.98244 \tabularnewline
261 & 10.95 & 11.8234 & -0.873352 \tabularnewline
262 & 12.35 & 14.6238 & -2.27381 \tabularnewline
263 & 9.95 & 13.0018 & -3.05182 \tabularnewline
264 & 14.9 & 13.9478 & 0.952177 \tabularnewline
265 & 16.65 & 14.9003 & 1.74968 \tabularnewline
266 & 13.4 & 13.3844 & 0.0156466 \tabularnewline
267 & 13.95 & 14.1715 & -0.221536 \tabularnewline
268 & 15.7 & 14.1731 & 1.52686 \tabularnewline
269 & 16.85 & 15.3895 & 1.4605 \tabularnewline
270 & 10.95 & 12.4421 & -1.49209 \tabularnewline
271 & 15.35 & 14.3309 & 1.01907 \tabularnewline
272 & 12.2 & 13.2134 & -1.01344 \tabularnewline
273 & 15.1 & 14.3164 & 0.783622 \tabularnewline
274 & 17.75 & 16.4811 & 1.26892 \tabularnewline
275 & 15.2 & 15.1144 & 0.0856427 \tabularnewline
276 & 14.6 & 14.5858 & 0.0142415 \tabularnewline
277 & 16.65 & 15.6462 & 1.00384 \tabularnewline
278 & 8.1 & 11.0472 & -2.94717 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=262965&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]12.9[/C][C]12.8917[/C][C]0.00831484[/C][/ROW]
[ROW][C]2[/C][C]12.2[/C][C]10.4353[/C][C]1.76468[/C][/ROW]
[ROW][C]3[/C][C]12.8[/C][C]11.6026[/C][C]1.1974[/C][/ROW]
[ROW][C]4[/C][C]7.4[/C][C]11.6694[/C][C]-4.26942[/C][/ROW]
[ROW][C]5[/C][C]6.7[/C][C]10.2597[/C][C]-3.55966[/C][/ROW]
[ROW][C]6[/C][C]12.6[/C][C]13.2162[/C][C]-0.616212[/C][/ROW]
[ROW][C]7[/C][C]14.8[/C][C]11.7941[/C][C]3.00587[/C][/ROW]
[ROW][C]8[/C][C]13.3[/C][C]10.6909[/C][C]2.60907[/C][/ROW]
[ROW][C]9[/C][C]11.1[/C][C]11.4422[/C][C]-0.342204[/C][/ROW]
[ROW][C]10[/C][C]8.2[/C][C]12.0351[/C][C]-3.83506[/C][/ROW]
[ROW][C]11[/C][C]11.4[/C][C]11.5411[/C][C]-0.141138[/C][/ROW]
[ROW][C]12[/C][C]6.4[/C][C]11.6747[/C][C]-5.27474[/C][/ROW]
[ROW][C]13[/C][C]10.6[/C][C]8.70583[/C][C]1.89417[/C][/ROW]
[ROW][C]14[/C][C]12[/C][C]13.6098[/C][C]-1.60979[/C][/ROW]
[ROW][C]15[/C][C]6.3[/C][C]6.62529[/C][C]-0.325293[/C][/ROW]
[ROW][C]16[/C][C]11.3[/C][C]9.16586[/C][C]2.13414[/C][/ROW]
[ROW][C]17[/C][C]11.9[/C][C]12.2684[/C][C]-0.368357[/C][/ROW]
[ROW][C]18[/C][C]9.3[/C][C]10.0811[/C][C]-0.781092[/C][/ROW]
[ROW][C]19[/C][C]9.6[/C][C]11.7897[/C][C]-2.18967[/C][/ROW]
[ROW][C]20[/C][C]10[/C][C]9.47417[/C][C]0.525827[/C][/ROW]
[ROW][C]21[/C][C]6.4[/C][C]9.82655[/C][C]-3.42655[/C][/ROW]
[ROW][C]22[/C][C]13.8[/C][C]10.3935[/C][C]3.40647[/C][/ROW]
[ROW][C]23[/C][C]10.8[/C][C]14.006[/C][C]-3.20601[/C][/ROW]
[ROW][C]24[/C][C]13.8[/C][C]12.8961[/C][C]0.903912[/C][/ROW]
[ROW][C]25[/C][C]11.7[/C][C]11.1869[/C][C]0.513061[/C][/ROW]
[ROW][C]26[/C][C]10.9[/C][C]15.0332[/C][C]-4.13325[/C][/ROW]
[ROW][C]27[/C][C]16.1[/C][C]13.2517[/C][C]2.84831[/C][/ROW]
[ROW][C]28[/C][C]13.4[/C][C]10.4906[/C][C]2.90944[/C][/ROW]
[ROW][C]29[/C][C]9.9[/C][C]11.4887[/C][C]-1.58875[/C][/ROW]
[ROW][C]30[/C][C]11.5[/C][C]11.3113[/C][C]0.188655[/C][/ROW]
[ROW][C]31[/C][C]8.3[/C][C]9.11226[/C][C]-0.812256[/C][/ROW]
[ROW][C]32[/C][C]11.7[/C][C]11.4263[/C][C]0.273728[/C][/ROW]
[ROW][C]33[/C][C]9[/C][C]9.57727[/C][C]-0.577265[/C][/ROW]
[ROW][C]34[/C][C]9.7[/C][C]11.8546[/C][C]-2.1546[/C][/ROW]
[ROW][C]35[/C][C]10.8[/C][C]9.03976[/C][C]1.76024[/C][/ROW]
[ROW][C]36[/C][C]10.3[/C][C]8.54532[/C][C]1.75468[/C][/ROW]
[ROW][C]37[/C][C]10.4[/C][C]11.2554[/C][C]-0.855438[/C][/ROW]
[ROW][C]38[/C][C]12.7[/C][C]10.387[/C][C]2.31304[/C][/ROW]
[ROW][C]39[/C][C]9.3[/C][C]11.764[/C][C]-2.46398[/C][/ROW]
[ROW][C]40[/C][C]11.8[/C][C]12.5312[/C][C]-0.731213[/C][/ROW]
[ROW][C]41[/C][C]5.9[/C][C]9.78196[/C][C]-3.88196[/C][/ROW]
[ROW][C]42[/C][C]11.4[/C][C]11.1722[/C][C]0.227835[/C][/ROW]
[ROW][C]43[/C][C]13[/C][C]11.9937[/C][C]1.0063[/C][/ROW]
[ROW][C]44[/C][C]10.8[/C][C]12.0663[/C][C]-1.2663[/C][/ROW]
[ROW][C]45[/C][C]12.3[/C][C]8.42947[/C][C]3.87053[/C][/ROW]
[ROW][C]46[/C][C]11.3[/C][C]12.9483[/C][C]-1.64828[/C][/ROW]
[ROW][C]47[/C][C]11.8[/C][C]9.66746[/C][C]2.13254[/C][/ROW]
[ROW][C]48[/C][C]7.9[/C][C]9.4007[/C][C]-1.5007[/C][/ROW]
[ROW][C]49[/C][C]12.7[/C][C]9.57723[/C][C]3.12277[/C][/ROW]
[ROW][C]50[/C][C]12.3[/C][C]9.16105[/C][C]3.13895[/C][/ROW]
[ROW][C]51[/C][C]11.6[/C][C]10.5174[/C][C]1.08261[/C][/ROW]
[ROW][C]52[/C][C]6.7[/C][C]7.43132[/C][C]-0.731325[/C][/ROW]
[ROW][C]53[/C][C]10.9[/C][C]10.4754[/C][C]0.424649[/C][/ROW]
[ROW][C]54[/C][C]12.1[/C][C]11.3173[/C][C]0.782679[/C][/ROW]
[ROW][C]55[/C][C]13.3[/C][C]10.1587[/C][C]3.14129[/C][/ROW]
[ROW][C]56[/C][C]10.1[/C][C]9.95144[/C][C]0.148563[/C][/ROW]
[ROW][C]57[/C][C]5.7[/C][C]11.0666[/C][C]-5.36659[/C][/ROW]
[ROW][C]58[/C][C]14.3[/C][C]9.71303[/C][C]4.58697[/C][/ROW]
[ROW][C]59[/C][C]8[/C][C]7.65848[/C][C]0.341525[/C][/ROW]
[ROW][C]60[/C][C]13.3[/C][C]10.8845[/C][C]2.41553[/C][/ROW]
[ROW][C]61[/C][C]9.3[/C][C]13.032[/C][C]-3.73197[/C][/ROW]
[ROW][C]62[/C][C]12.5[/C][C]11.0061[/C][C]1.49389[/C][/ROW]
[ROW][C]63[/C][C]7.6[/C][C]8.69107[/C][C]-1.09107[/C][/ROW]
[ROW][C]64[/C][C]15.9[/C][C]13.9654[/C][C]1.93457[/C][/ROW]
[ROW][C]65[/C][C]9.2[/C][C]12.2037[/C][C]-3.00372[/C][/ROW]
[ROW][C]66[/C][C]9.1[/C][C]8.44469[/C][C]0.655315[/C][/ROW]
[ROW][C]67[/C][C]11.1[/C][C]12.5673[/C][C]-1.46731[/C][/ROW]
[ROW][C]68[/C][C]13[/C][C]15.2582[/C][C]-2.25819[/C][/ROW]
[ROW][C]69[/C][C]14.5[/C][C]11.9971[/C][C]2.50288[/C][/ROW]
[ROW][C]70[/C][C]12.2[/C][C]10.953[/C][C]1.24705[/C][/ROW]
[ROW][C]71[/C][C]12.3[/C][C]13.0686[/C][C]-0.768576[/C][/ROW]
[ROW][C]72[/C][C]11.4[/C][C]10.3522[/C][C]1.04783[/C][/ROW]
[ROW][C]73[/C][C]8.8[/C][C]9.79306[/C][C]-0.993065[/C][/ROW]
[ROW][C]74[/C][C]14.6[/C][C]10.8715[/C][C]3.72855[/C][/ROW]
[ROW][C]75[/C][C]12.6[/C][C]11.2248[/C][C]1.37524[/C][/ROW]
[ROW][C]76[/C][C]13[/C][C]11.9839[/C][C]1.01609[/C][/ROW]
[ROW][C]77[/C][C]12.6[/C][C]10.7198[/C][C]1.88024[/C][/ROW]
[ROW][C]78[/C][C]13.2[/C][C]12.5282[/C][C]0.671822[/C][/ROW]
[ROW][C]79[/C][C]9.9[/C][C]9.12493[/C][C]0.775073[/C][/ROW]
[ROW][C]80[/C][C]7.7[/C][C]9.69085[/C][C]-1.99085[/C][/ROW]
[ROW][C]81[/C][C]10.5[/C][C]10.5199[/C][C]-0.0198717[/C][/ROW]
[ROW][C]82[/C][C]13.4[/C][C]10.4917[/C][C]2.90834[/C][/ROW]
[ROW][C]83[/C][C]10.9[/C][C]10.4252[/C][C]0.474776[/C][/ROW]
[ROW][C]84[/C][C]4.3[/C][C]9.06899[/C][C]-4.76899[/C][/ROW]
[ROW][C]85[/C][C]10.3[/C][C]11.6495[/C][C]-1.34953[/C][/ROW]
[ROW][C]86[/C][C]11.8[/C][C]11.0823[/C][C]0.717731[/C][/ROW]
[ROW][C]87[/C][C]11.2[/C][C]8.9223[/C][C]2.2777[/C][/ROW]
[ROW][C]88[/C][C]11.4[/C][C]8.78071[/C][C]2.61929[/C][/ROW]
[ROW][C]89[/C][C]8.6[/C][C]9.97078[/C][C]-1.37078[/C][/ROW]
[ROW][C]90[/C][C]13.2[/C][C]11.4729[/C][C]1.72713[/C][/ROW]
[ROW][C]91[/C][C]12.6[/C][C]8.85188[/C][C]3.74812[/C][/ROW]
[ROW][C]92[/C][C]5.6[/C][C]10.1968[/C][C]-4.59676[/C][/ROW]
[ROW][C]93[/C][C]9.9[/C][C]11.7742[/C][C]-1.87418[/C][/ROW]
[ROW][C]94[/C][C]8.8[/C][C]9.78217[/C][C]-0.982174[/C][/ROW]
[ROW][C]95[/C][C]7.7[/C][C]9.38797[/C][C]-1.68797[/C][/ROW]
[ROW][C]96[/C][C]9[/C][C]10.5515[/C][C]-1.55155[/C][/ROW]
[ROW][C]97[/C][C]7.3[/C][C]10.9513[/C][C]-3.65132[/C][/ROW]
[ROW][C]98[/C][C]11.4[/C][C]9.15369[/C][C]2.24631[/C][/ROW]
[ROW][C]99[/C][C]13.6[/C][C]9.4802[/C][C]4.1198[/C][/ROW]
[ROW][C]100[/C][C]7.9[/C][C]10.1524[/C][C]-2.25237[/C][/ROW]
[ROW][C]101[/C][C]10.7[/C][C]8.63082[/C][C]2.06918[/C][/ROW]
[ROW][C]102[/C][C]10.3[/C][C]9.89379[/C][C]0.406207[/C][/ROW]
[ROW][C]103[/C][C]8.3[/C][C]8.97457[/C][C]-0.674574[/C][/ROW]
[ROW][C]104[/C][C]9.6[/C][C]10.8834[/C][C]-1.28341[/C][/ROW]
[ROW][C]105[/C][C]14.2[/C][C]10.3069[/C][C]3.89306[/C][/ROW]
[ROW][C]106[/C][C]8.5[/C][C]10.1098[/C][C]-1.6098[/C][/ROW]
[ROW][C]107[/C][C]13.5[/C][C]9.69058[/C][C]3.80942[/C][/ROW]
[ROW][C]108[/C][C]4.9[/C][C]9.91586[/C][C]-5.01586[/C][/ROW]
[ROW][C]109[/C][C]6.4[/C][C]7.98624[/C][C]-1.58624[/C][/ROW]
[ROW][C]110[/C][C]9.6[/C][C]10.7661[/C][C]-1.16614[/C][/ROW]
[ROW][C]111[/C][C]11.6[/C][C]10.7396[/C][C]0.860412[/C][/ROW]
[ROW][C]112[/C][C]11.1[/C][C]9.33641[/C][C]1.76359[/C][/ROW]
[ROW][C]113[/C][C]4.35[/C][C]10.8964[/C][C]-6.54635[/C][/ROW]
[ROW][C]114[/C][C]12.7[/C][C]11.583[/C][C]1.11701[/C][/ROW]
[ROW][C]115[/C][C]18.1[/C][C]15.2067[/C][C]2.89327[/C][/ROW]
[ROW][C]116[/C][C]17.85[/C][C]15.1159[/C][C]2.73408[/C][/ROW]
[ROW][C]117[/C][C]16.6[/C][C]18.2163[/C][C]-1.61632[/C][/ROW]
[ROW][C]118[/C][C]12.6[/C][C]11.9755[/C][C]0.624481[/C][/ROW]
[ROW][C]119[/C][C]17.1[/C][C]18.1898[/C][C]-1.08985[/C][/ROW]
[ROW][C]120[/C][C]19.1[/C][C]17.055[/C][C]2.04503[/C][/ROW]
[ROW][C]121[/C][C]16.1[/C][C]18.5789[/C][C]-2.47892[/C][/ROW]
[ROW][C]122[/C][C]13.35[/C][C]11.7933[/C][C]1.55669[/C][/ROW]
[ROW][C]123[/C][C]18.4[/C][C]16.2937[/C][C]2.10635[/C][/ROW]
[ROW][C]124[/C][C]14.7[/C][C]10.0695[/C][C]4.63055[/C][/ROW]
[ROW][C]125[/C][C]10.6[/C][C]12.836[/C][C]-2.23604[/C][/ROW]
[ROW][C]126[/C][C]12.6[/C][C]12.9204[/C][C]-0.320387[/C][/ROW]
[ROW][C]127[/C][C]16.2[/C][C]14.4812[/C][C]1.7188[/C][/ROW]
[ROW][C]128[/C][C]13.6[/C][C]13.7833[/C][C]-0.183321[/C][/ROW]
[ROW][C]129[/C][C]18.9[/C][C]16.3445[/C][C]2.55551[/C][/ROW]
[ROW][C]130[/C][C]14.1[/C][C]13.1276[/C][C]0.972389[/C][/ROW]
[ROW][C]131[/C][C]14.5[/C][C]13.2798[/C][C]1.22023[/C][/ROW]
[ROW][C]132[/C][C]16.15[/C][C]17.1149[/C][C]-0.964942[/C][/ROW]
[ROW][C]133[/C][C]14.75[/C][C]13.7141[/C][C]1.03591[/C][/ROW]
[ROW][C]134[/C][C]14.8[/C][C]13.5646[/C][C]1.23542[/C][/ROW]
[ROW][C]135[/C][C]12.45[/C][C]12.4545[/C][C]-0.00448606[/C][/ROW]
[ROW][C]136[/C][C]12.65[/C][C]12.785[/C][C]-0.134962[/C][/ROW]
[ROW][C]137[/C][C]17.35[/C][C]14.0844[/C][C]3.26558[/C][/ROW]
[ROW][C]138[/C][C]8.6[/C][C]10.5666[/C][C]-1.9666[/C][/ROW]
[ROW][C]139[/C][C]18.4[/C][C]16.5643[/C][C]1.83575[/C][/ROW]
[ROW][C]140[/C][C]16.1[/C][C]15.2886[/C][C]0.811417[/C][/ROW]
[ROW][C]141[/C][C]11.6[/C][C]12.2161[/C][C]-0.616112[/C][/ROW]
[ROW][C]142[/C][C]17.75[/C][C]15.0574[/C][C]2.69264[/C][/ROW]
[ROW][C]143[/C][C]15.25[/C][C]14.7883[/C][C]0.461739[/C][/ROW]
[ROW][C]144[/C][C]17.65[/C][C]14.2769[/C][C]3.37307[/C][/ROW]
[ROW][C]145[/C][C]16.35[/C][C]16.4662[/C][C]-0.116168[/C][/ROW]
[ROW][C]146[/C][C]17.65[/C][C]16.9128[/C][C]0.737224[/C][/ROW]
[ROW][C]147[/C][C]13.6[/C][C]14.0109[/C][C]-0.410936[/C][/ROW]
[ROW][C]148[/C][C]14.35[/C][C]14.7309[/C][C]-0.380942[/C][/ROW]
[ROW][C]149[/C][C]14.75[/C][C]15.1329[/C][C]-0.382888[/C][/ROW]
[ROW][C]150[/C][C]18.25[/C][C]15.7167[/C][C]2.53334[/C][/ROW]
[ROW][C]151[/C][C]9.9[/C][C]15.8284[/C][C]-5.92839[/C][/ROW]
[ROW][C]152[/C][C]16[/C][C]15.1679[/C][C]0.832051[/C][/ROW]
[ROW][C]153[/C][C]18.25[/C][C]15.679[/C][C]2.57096[/C][/ROW]
[ROW][C]154[/C][C]16.85[/C][C]17.0551[/C][C]-0.205095[/C][/ROW]
[ROW][C]155[/C][C]14.6[/C][C]12.3721[/C][C]2.2279[/C][/ROW]
[ROW][C]156[/C][C]13.85[/C][C]14.7118[/C][C]-0.861829[/C][/ROW]
[ROW][C]157[/C][C]18.95[/C][C]17.5208[/C][C]1.42916[/C][/ROW]
[ROW][C]158[/C][C]15.6[/C][C]14.7131[/C][C]0.886897[/C][/ROW]
[ROW][C]159[/C][C]14.85[/C][C]16.8595[/C][C]-2.00953[/C][/ROW]
[ROW][C]160[/C][C]11.75[/C][C]14.4619[/C][C]-2.71191[/C][/ROW]
[ROW][C]161[/C][C]18.45[/C][C]17.1477[/C][C]1.30233[/C][/ROW]
[ROW][C]162[/C][C]15.9[/C][C]13.9327[/C][C]1.9673[/C][/ROW]
[ROW][C]163[/C][C]17.1[/C][C]17.5687[/C][C]-0.468732[/C][/ROW]
[ROW][C]164[/C][C]16.1[/C][C]9.72363[/C][C]6.37637[/C][/ROW]
[ROW][C]165[/C][C]19.9[/C][C]19.1535[/C][C]0.746522[/C][/ROW]
[ROW][C]166[/C][C]10.95[/C][C]10.7732[/C][C]0.176809[/C][/ROW]
[ROW][C]167[/C][C]18.45[/C][C]17.0381[/C][C]1.41192[/C][/ROW]
[ROW][C]168[/C][C]15.1[/C][C]13.7539[/C][C]1.34615[/C][/ROW]
[ROW][C]169[/C][C]15[/C][C]15.0935[/C][C]-0.0935048[/C][/ROW]
[ROW][C]170[/C][C]11.35[/C][C]14.2265[/C][C]-2.87647[/C][/ROW]
[ROW][C]171[/C][C]15.95[/C][C]14.7416[/C][C]1.20837[/C][/ROW]
[ROW][C]172[/C][C]18.1[/C][C]15.7802[/C][C]2.31981[/C][/ROW]
[ROW][C]173[/C][C]14.6[/C][C]16.6572[/C][C]-2.05721[/C][/ROW]
[ROW][C]174[/C][C]15.4[/C][C]15.8436[/C][C]-0.443631[/C][/ROW]
[ROW][C]175[/C][C]15.4[/C][C]15.7847[/C][C]-0.384673[/C][/ROW]
[ROW][C]176[/C][C]17.6[/C][C]15.0845[/C][C]2.51548[/C][/ROW]
[ROW][C]177[/C][C]13.35[/C][C]14.8689[/C][C]-1.51894[/C][/ROW]
[ROW][C]178[/C][C]19.1[/C][C]16.4312[/C][C]2.66881[/C][/ROW]
[ROW][C]179[/C][C]15.35[/C][C]16.5704[/C][C]-1.22044[/C][/ROW]
[ROW][C]180[/C][C]7.6[/C][C]11.1833[/C][C]-3.58332[/C][/ROW]
[ROW][C]181[/C][C]13.4[/C][C]15.8372[/C][C]-2.43722[/C][/ROW]
[ROW][C]182[/C][C]13.9[/C][C]16.2877[/C][C]-2.38768[/C][/ROW]
[ROW][C]183[/C][C]19.1[/C][C]16.74[/C][C]2.35999[/C][/ROW]
[ROW][C]184[/C][C]15.25[/C][C]15.3239[/C][C]-0.0739322[/C][/ROW]
[ROW][C]185[/C][C]12.9[/C][C]15.7153[/C][C]-2.8153[/C][/ROW]
[ROW][C]186[/C][C]16.1[/C][C]15.7455[/C][C]0.354539[/C][/ROW]
[ROW][C]187[/C][C]17.35[/C][C]14.5368[/C][C]2.81321[/C][/ROW]
[ROW][C]188[/C][C]13.15[/C][C]15.2602[/C][C]-2.11016[/C][/ROW]
[ROW][C]189[/C][C]12.15[/C][C]13.9864[/C][C]-1.83636[/C][/ROW]
[ROW][C]190[/C][C]12.6[/C][C]12.5993[/C][C]0.000738149[/C][/ROW]
[ROW][C]191[/C][C]10.35[/C][C]13.1525[/C][C]-2.80253[/C][/ROW]
[ROW][C]192[/C][C]15.4[/C][C]14.2436[/C][C]1.1564[/C][/ROW]
[ROW][C]193[/C][C]9.6[/C][C]12.5096[/C][C]-2.90961[/C][/ROW]
[ROW][C]194[/C][C]18.2[/C][C]14.9028[/C][C]3.29723[/C][/ROW]
[ROW][C]195[/C][C]13.6[/C][C]14.2256[/C][C]-0.625637[/C][/ROW]
[ROW][C]196[/C][C]14.85[/C][C]13.7479[/C][C]1.10208[/C][/ROW]
[ROW][C]197[/C][C]14.75[/C][C]16.8649[/C][C]-2.11486[/C][/ROW]
[ROW][C]198[/C][C]14.1[/C][C]13.8984[/C][C]0.20163[/C][/ROW]
[ROW][C]199[/C][C]14.9[/C][C]13.3182[/C][C]1.58184[/C][/ROW]
[ROW][C]200[/C][C]16.25[/C][C]15.3289[/C][C]0.921093[/C][/ROW]
[ROW][C]201[/C][C]19.25[/C][C]17.6738[/C][C]1.57623[/C][/ROW]
[ROW][C]202[/C][C]13.6[/C][C]13.3184[/C][C]0.281604[/C][/ROW]
[ROW][C]203[/C][C]13.6[/C][C]15.2806[/C][C]-1.68061[/C][/ROW]
[ROW][C]204[/C][C]15.65[/C][C]15.68[/C][C]-0.0300351[/C][/ROW]
[ROW][C]205[/C][C]12.75[/C][C]12.7836[/C][C]-0.0336261[/C][/ROW]
[ROW][C]206[/C][C]14.6[/C][C]13.3941[/C][C]1.2059[/C][/ROW]
[ROW][C]207[/C][C]9.85[/C][C]11.149[/C][C]-1.29896[/C][/ROW]
[ROW][C]208[/C][C]12.65[/C][C]12.9431[/C][C]-0.293137[/C][/ROW]
[ROW][C]209[/C][C]19.2[/C][C]16.7271[/C][C]2.47291[/C][/ROW]
[ROW][C]210[/C][C]16.6[/C][C]14.749[/C][C]1.85101[/C][/ROW]
[ROW][C]211[/C][C]11.2[/C][C]12.3032[/C][C]-1.10319[/C][/ROW]
[ROW][C]212[/C][C]15.25[/C][C]15.2059[/C][C]0.0440728[/C][/ROW]
[ROW][C]213[/C][C]11.9[/C][C]14.3782[/C][C]-2.47818[/C][/ROW]
[ROW][C]214[/C][C]13.2[/C][C]13.5962[/C][C]-0.396181[/C][/ROW]
[ROW][C]215[/C][C]16.35[/C][C]16.9704[/C][C]-0.620442[/C][/ROW]
[ROW][C]216[/C][C]12.4[/C][C]12.5744[/C][C]-0.174439[/C][/ROW]
[ROW][C]217[/C][C]15.85[/C][C]14.5152[/C][C]1.33481[/C][/ROW]
[ROW][C]218[/C][C]18.15[/C][C]16.1498[/C][C]2.00017[/C][/ROW]
[ROW][C]219[/C][C]11.15[/C][C]13.109[/C][C]-1.95905[/C][/ROW]
[ROW][C]220[/C][C]15.65[/C][C]16.5706[/C][C]-0.920603[/C][/ROW]
[ROW][C]221[/C][C]17.75[/C][C]14.7923[/C][C]2.95774[/C][/ROW]
[ROW][C]222[/C][C]7.65[/C][C]11.4696[/C][C]-3.81965[/C][/ROW]
[ROW][C]223[/C][C]12.35[/C][C]13.4998[/C][C]-1.14977[/C][/ROW]
[ROW][C]224[/C][C]15.6[/C][C]13.5715[/C][C]2.02851[/C][/ROW]
[ROW][C]225[/C][C]19.3[/C][C]16.3766[/C][C]2.92341[/C][/ROW]
[ROW][C]226[/C][C]15.2[/C][C]12.4895[/C][C]2.7105[/C][/ROW]
[ROW][C]227[/C][C]17.1[/C][C]14.5432[/C][C]2.55677[/C][/ROW]
[ROW][C]228[/C][C]15.6[/C][C]13.5355[/C][C]2.0645[/C][/ROW]
[ROW][C]229[/C][C]18.4[/C][C]15.2849[/C][C]3.11508[/C][/ROW]
[ROW][C]230[/C][C]19.05[/C][C]15.7731[/C][C]3.27689[/C][/ROW]
[ROW][C]231[/C][C]18.55[/C][C]14.9811[/C][C]3.56887[/C][/ROW]
[ROW][C]232[/C][C]19.1[/C][C]17.3066[/C][C]1.79338[/C][/ROW]
[ROW][C]233[/C][C]13.1[/C][C]13.5478[/C][C]-0.447848[/C][/ROW]
[ROW][C]234[/C][C]12.85[/C][C]15.3323[/C][C]-2.48227[/C][/ROW]
[ROW][C]235[/C][C]9.5[/C][C]12.4068[/C][C]-2.90684[/C][/ROW]
[ROW][C]236[/C][C]4.5[/C][C]10.9225[/C][C]-6.42247[/C][/ROW]
[ROW][C]237[/C][C]11.85[/C][C]12.1836[/C][C]-0.333589[/C][/ROW]
[ROW][C]238[/C][C]13.6[/C][C]14.657[/C][C]-1.05701[/C][/ROW]
[ROW][C]239[/C][C]11.7[/C][C]12.5823[/C][C]-0.882279[/C][/ROW]
[ROW][C]240[/C][C]12.4[/C][C]12.8931[/C][C]-0.493075[/C][/ROW]
[ROW][C]241[/C][C]13.35[/C][C]14.9068[/C][C]-1.55676[/C][/ROW]
[ROW][C]242[/C][C]11.4[/C][C]13.2379[/C][C]-1.83795[/C][/ROW]
[ROW][C]243[/C][C]14.9[/C][C]14.2797[/C][C]0.620321[/C][/ROW]
[ROW][C]244[/C][C]19.9[/C][C]18.514[/C][C]1.38601[/C][/ROW]
[ROW][C]245[/C][C]11.2[/C][C]13.8351[/C][C]-2.63507[/C][/ROW]
[ROW][C]246[/C][C]14.6[/C][C]15.2387[/C][C]-0.638727[/C][/ROW]
[ROW][C]247[/C][C]17.6[/C][C]17.1678[/C][C]0.432179[/C][/ROW]
[ROW][C]248[/C][C]14.05[/C][C]12.9709[/C][C]1.07914[/C][/ROW]
[ROW][C]249[/C][C]16.1[/C][C]15.292[/C][C]0.808029[/C][/ROW]
[ROW][C]250[/C][C]13.35[/C][C]14.1452[/C][C]-0.795249[/C][/ROW]
[ROW][C]251[/C][C]11.85[/C][C]14.1021[/C][C]-2.25207[/C][/ROW]
[ROW][C]252[/C][C]11.95[/C][C]13.8182[/C][C]-1.86822[/C][/ROW]
[ROW][C]253[/C][C]14.75[/C][C]14.4342[/C][C]0.315779[/C][/ROW]
[ROW][C]254[/C][C]15.15[/C][C]14.1392[/C][C]1.01083[/C][/ROW]
[ROW][C]255[/C][C]13.2[/C][C]15.4616[/C][C]-2.26162[/C][/ROW]
[ROW][C]256[/C][C]16.85[/C][C]16.2911[/C][C]0.558863[/C][/ROW]
[ROW][C]257[/C][C]7.85[/C][C]12.3427[/C][C]-4.49269[/C][/ROW]
[ROW][C]258[/C][C]7.7[/C][C]12.649[/C][C]-4.94901[/C][/ROW]
[ROW][C]259[/C][C]12.6[/C][C]15.3333[/C][C]-2.73331[/C][/ROW]
[ROW][C]260[/C][C]7.85[/C][C]14.8324[/C][C]-6.98244[/C][/ROW]
[ROW][C]261[/C][C]10.95[/C][C]11.8234[/C][C]-0.873352[/C][/ROW]
[ROW][C]262[/C][C]12.35[/C][C]14.6238[/C][C]-2.27381[/C][/ROW]
[ROW][C]263[/C][C]9.95[/C][C]13.0018[/C][C]-3.05182[/C][/ROW]
[ROW][C]264[/C][C]14.9[/C][C]13.9478[/C][C]0.952177[/C][/ROW]
[ROW][C]265[/C][C]16.65[/C][C]14.9003[/C][C]1.74968[/C][/ROW]
[ROW][C]266[/C][C]13.4[/C][C]13.3844[/C][C]0.0156466[/C][/ROW]
[ROW][C]267[/C][C]13.95[/C][C]14.1715[/C][C]-0.221536[/C][/ROW]
[ROW][C]268[/C][C]15.7[/C][C]14.1731[/C][C]1.52686[/C][/ROW]
[ROW][C]269[/C][C]16.85[/C][C]15.3895[/C][C]1.4605[/C][/ROW]
[ROW][C]270[/C][C]10.95[/C][C]12.4421[/C][C]-1.49209[/C][/ROW]
[ROW][C]271[/C][C]15.35[/C][C]14.3309[/C][C]1.01907[/C][/ROW]
[ROW][C]272[/C][C]12.2[/C][C]13.2134[/C][C]-1.01344[/C][/ROW]
[ROW][C]273[/C][C]15.1[/C][C]14.3164[/C][C]0.783622[/C][/ROW]
[ROW][C]274[/C][C]17.75[/C][C]16.4811[/C][C]1.26892[/C][/ROW]
[ROW][C]275[/C][C]15.2[/C][C]15.1144[/C][C]0.0856427[/C][/ROW]
[ROW][C]276[/C][C]14.6[/C][C]14.5858[/C][C]0.0142415[/C][/ROW]
[ROW][C]277[/C][C]16.65[/C][C]15.6462[/C][C]1.00384[/C][/ROW]
[ROW][C]278[/C][C]8.1[/C][C]11.0472[/C][C]-2.94717[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=262965&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=262965&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
112.912.89170.00831484
212.210.43531.76468
312.811.60261.1974
47.411.6694-4.26942
56.710.2597-3.55966
612.613.2162-0.616212
714.811.79413.00587
813.310.69092.60907
911.111.4422-0.342204
108.212.0351-3.83506
1111.411.5411-0.141138
126.411.6747-5.27474
1310.68.705831.89417
141213.6098-1.60979
156.36.62529-0.325293
1611.39.165862.13414
1711.912.2684-0.368357
189.310.0811-0.781092
199.611.7897-2.18967
20109.474170.525827
216.49.82655-3.42655
2213.810.39353.40647
2310.814.006-3.20601
2413.812.89610.903912
2511.711.18690.513061
2610.915.0332-4.13325
2716.113.25172.84831
2813.410.49062.90944
299.911.4887-1.58875
3011.511.31130.188655
318.39.11226-0.812256
3211.711.42630.273728
3399.57727-0.577265
349.711.8546-2.1546
3510.89.039761.76024
3610.38.545321.75468
3710.411.2554-0.855438
3812.710.3872.31304
399.311.764-2.46398
4011.812.5312-0.731213
415.99.78196-3.88196
4211.411.17220.227835
431311.99371.0063
4410.812.0663-1.2663
4512.38.429473.87053
4611.312.9483-1.64828
4711.89.667462.13254
487.99.4007-1.5007
4912.79.577233.12277
5012.39.161053.13895
5111.610.51741.08261
526.77.43132-0.731325
5310.910.47540.424649
5412.111.31730.782679
5513.310.15873.14129
5610.19.951440.148563
575.711.0666-5.36659
5814.39.713034.58697
5987.658480.341525
6013.310.88452.41553
619.313.032-3.73197
6212.511.00611.49389
637.68.69107-1.09107
6415.913.96541.93457
659.212.2037-3.00372
669.18.444690.655315
6711.112.5673-1.46731
681315.2582-2.25819
6914.511.99712.50288
7012.210.9531.24705
7112.313.0686-0.768576
7211.410.35221.04783
738.89.79306-0.993065
7414.610.87153.72855
7512.611.22481.37524
761311.98391.01609
7712.610.71981.88024
7813.212.52820.671822
799.99.124930.775073
807.79.69085-1.99085
8110.510.5199-0.0198717
8213.410.49172.90834
8310.910.42520.474776
844.39.06899-4.76899
8510.311.6495-1.34953
8611.811.08230.717731
8711.28.92232.2777
8811.48.780712.61929
898.69.97078-1.37078
9013.211.47291.72713
9112.68.851883.74812
925.610.1968-4.59676
939.911.7742-1.87418
948.89.78217-0.982174
957.79.38797-1.68797
96910.5515-1.55155
977.310.9513-3.65132
9811.49.153692.24631
9913.69.48024.1198
1007.910.1524-2.25237
10110.78.630822.06918
10210.39.893790.406207
1038.38.97457-0.674574
1049.610.8834-1.28341
10514.210.30693.89306
1068.510.1098-1.6098
10713.59.690583.80942
1084.99.91586-5.01586
1096.47.98624-1.58624
1109.610.7661-1.16614
11111.610.73960.860412
11211.19.336411.76359
1134.3510.8964-6.54635
11412.711.5831.11701
11518.115.20672.89327
11617.8515.11592.73408
11716.618.2163-1.61632
11812.611.97550.624481
11917.118.1898-1.08985
12019.117.0552.04503
12116.118.5789-2.47892
12213.3511.79331.55669
12318.416.29372.10635
12414.710.06954.63055
12510.612.836-2.23604
12612.612.9204-0.320387
12716.214.48121.7188
12813.613.7833-0.183321
12918.916.34452.55551
13014.113.12760.972389
13114.513.27981.22023
13216.1517.1149-0.964942
13314.7513.71411.03591
13414.813.56461.23542
13512.4512.4545-0.00448606
13612.6512.785-0.134962
13717.3514.08443.26558
1388.610.5666-1.9666
13918.416.56431.83575
14016.115.28860.811417
14111.612.2161-0.616112
14217.7515.05742.69264
14315.2514.78830.461739
14417.6514.27693.37307
14516.3516.4662-0.116168
14617.6516.91280.737224
14713.614.0109-0.410936
14814.3514.7309-0.380942
14914.7515.1329-0.382888
15018.2515.71672.53334
1519.915.8284-5.92839
1521615.16790.832051
15318.2515.6792.57096
15416.8517.0551-0.205095
15514.612.37212.2279
15613.8514.7118-0.861829
15718.9517.52081.42916
15815.614.71310.886897
15914.8516.8595-2.00953
16011.7514.4619-2.71191
16118.4517.14771.30233
16215.913.93271.9673
16317.117.5687-0.468732
16416.19.723636.37637
16519.919.15350.746522
16610.9510.77320.176809
16718.4517.03811.41192
16815.113.75391.34615
1691515.0935-0.0935048
17011.3514.2265-2.87647
17115.9514.74161.20837
17218.115.78022.31981
17314.616.6572-2.05721
17415.415.8436-0.443631
17515.415.7847-0.384673
17617.615.08452.51548
17713.3514.8689-1.51894
17819.116.43122.66881
17915.3516.5704-1.22044
1807.611.1833-3.58332
18113.415.8372-2.43722
18213.916.2877-2.38768
18319.116.742.35999
18415.2515.3239-0.0739322
18512.915.7153-2.8153
18616.115.74550.354539
18717.3514.53682.81321
18813.1515.2602-2.11016
18912.1513.9864-1.83636
19012.612.59930.000738149
19110.3513.1525-2.80253
19215.414.24361.1564
1939.612.5096-2.90961
19418.214.90283.29723
19513.614.2256-0.625637
19614.8513.74791.10208
19714.7516.8649-2.11486
19814.113.89840.20163
19914.913.31821.58184
20016.2515.32890.921093
20119.2517.67381.57623
20213.613.31840.281604
20313.615.2806-1.68061
20415.6515.68-0.0300351
20512.7512.7836-0.0336261
20614.613.39411.2059
2079.8511.149-1.29896
20812.6512.9431-0.293137
20919.216.72712.47291
21016.614.7491.85101
21111.212.3032-1.10319
21215.2515.20590.0440728
21311.914.3782-2.47818
21413.213.5962-0.396181
21516.3516.9704-0.620442
21612.412.5744-0.174439
21715.8514.51521.33481
21818.1516.14982.00017
21911.1513.109-1.95905
22015.6516.5706-0.920603
22117.7514.79232.95774
2227.6511.4696-3.81965
22312.3513.4998-1.14977
22415.613.57152.02851
22519.316.37662.92341
22615.212.48952.7105
22717.114.54322.55677
22815.613.53552.0645
22918.415.28493.11508
23019.0515.77313.27689
23118.5514.98113.56887
23219.117.30661.79338
23313.113.5478-0.447848
23412.8515.3323-2.48227
2359.512.4068-2.90684
2364.510.9225-6.42247
23711.8512.1836-0.333589
23813.614.657-1.05701
23911.712.5823-0.882279
24012.412.8931-0.493075
24113.3514.9068-1.55676
24211.413.2379-1.83795
24314.914.27970.620321
24419.918.5141.38601
24511.213.8351-2.63507
24614.615.2387-0.638727
24717.617.16780.432179
24814.0512.97091.07914
24916.115.2920.808029
25013.3514.1452-0.795249
25111.8514.1021-2.25207
25211.9513.8182-1.86822
25314.7514.43420.315779
25415.1514.13921.01083
25513.215.4616-2.26162
25616.8516.29110.558863
2577.8512.3427-4.49269
2587.712.649-4.94901
25912.615.3333-2.73331
2607.8514.8324-6.98244
26110.9511.8234-0.873352
26212.3514.6238-2.27381
2639.9513.0018-3.05182
26414.913.94780.952177
26516.6514.90031.74968
26613.413.38440.0156466
26713.9514.1715-0.221536
26815.714.17311.52686
26916.8515.38951.4605
27010.9512.4421-1.49209
27115.3514.33091.01907
27212.213.2134-1.01344
27315.114.31640.783622
27417.7516.48111.26892
27515.215.11440.0856427
27614.614.58580.0142415
27716.6515.64621.00384
2788.111.0472-2.94717







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.6440170.7119660.355983
180.4903180.9806350.509682
190.3587730.7175470.641227
200.3043690.6087370.695631
210.2116840.4233690.788316
220.1602490.3204980.839751
230.1810720.3621440.818928
240.2162490.4324970.783751
250.1561310.3122630.843869
260.1159460.2318920.884054
270.0817550.163510.918245
280.09255670.1851130.907443
290.06320690.1264140.936793
300.04522350.0904470.954776
310.04763470.09526940.952365
320.03797990.07595980.96202
330.06736980.134740.93263
340.1639990.3279980.836001
350.1262550.2525090.873745
360.1368420.2736840.863158
370.1324590.2649180.867541
380.1412460.2824920.858754
390.1341620.2683250.865838
400.1134780.2269560.886522
410.1396570.2793140.860343
420.1350610.2701230.864939
430.1173710.2347420.882629
440.1123280.2246560.887672
450.09953310.1990660.900467
460.08084280.1616860.919157
470.09568220.1913640.904318
480.0898390.1796780.910161
490.1330120.2660240.866988
500.1557820.3115650.844218
510.127190.254380.87281
520.1510250.3020490.848975
530.1409310.2818620.859069
540.1202340.2404680.879766
550.2142270.4284530.785773
560.1817680.3635360.818232
570.5019640.9960710.498036
580.5422010.9155990.457799
590.4978120.9956240.502188
600.4923970.9847930.507603
610.530360.939280.46964
620.5191440.9617110.480856
630.6556610.6886770.344339
640.6942130.6115740.305787
650.7096020.5807950.290398
660.6881670.6236660.311833
670.6593880.6812240.340612
680.6408610.7182770.359139
690.6588650.682270.341135
700.631770.7364590.36823
710.5964590.8070810.403541
720.5633680.8732640.436632
730.5490040.9019920.450996
740.6067190.7865620.393281
750.5786640.8426720.421336
760.558760.8824790.44124
770.535070.9298590.46493
780.5107270.9785460.489273
790.4746040.9492080.525396
800.4725670.9451350.527433
810.4322170.8644340.567783
820.4589720.9179450.541028
830.4212080.8424160.578792
840.604140.7917210.39586
850.5837660.8324680.416234
860.5456920.9086150.454308
870.5305770.9388460.469423
880.5378520.9242970.462148
890.5253080.9493850.474692
900.5122350.975530.487765
910.5465640.9068720.453436
920.7031340.5937310.296866
930.6987310.6025380.301269
940.6803670.6392670.319633
950.6616490.6767010.338351
960.6389160.7221680.361084
970.6947810.6104370.305219
980.6816340.6367330.318366
990.7438980.5122050.256102
1000.7461640.5076720.253836
1010.7322080.5355840.267792
1020.702240.5955190.29776
1030.6839280.6321430.316072
1040.6629480.6741050.337052
1050.7204240.5591520.279576
1060.6994090.6011820.300591
1070.7633080.4733840.236692
1080.8521230.2957530.147877
1090.8429180.3141640.157082
1100.8303370.3393250.169663
1110.8134220.3731560.186578
1120.7959230.4081540.204077
1130.8415940.3168120.158406
1140.9037060.1925890.0962943
1150.9406320.1187360.059368
1160.9501410.09971780.0498589
1170.9439280.1121430.0560717
1180.9342180.1315650.0657823
1190.928430.143140.0715698
1200.927930.144140.0720701
1210.9360150.127970.0639848
1220.9315190.1369620.0684809
1230.9344710.1310580.065529
1240.9592410.08151710.0407585
1250.959980.08004090.0400204
1260.9526490.09470170.0473508
1270.9480790.1038410.0519206
1280.93860.1227990.0613997
1290.9366250.1267490.0633746
1300.9260320.1479370.0739684
1310.9163770.1672460.0836232
1320.9079670.1840650.0920327
1330.8960220.2079560.103978
1340.8815430.2369130.118457
1350.8635750.272850.136425
1360.8454160.3091670.154584
1370.8637160.2725670.136284
1380.8718630.2562730.128137
1390.8608170.2783670.139183
1400.8410270.3179450.158973
1410.8270770.3458460.172923
1420.8321710.3356570.167829
1430.8087750.382450.191225
1440.8372510.3254990.162749
1450.8154110.3691770.184589
1460.7924580.4150850.207542
1470.7685140.4629730.231486
1480.742010.5159810.25799
1490.7170660.5658670.282934
1500.7191080.5617840.280892
1510.8832790.2334430.116721
1520.8666920.2666160.133308
1530.8686130.2627750.131387
1540.8485550.302890.151445
1550.8502740.2994510.149726
1560.8357690.3284620.164231
1570.8159160.3681680.184084
1580.7927840.4144320.207216
1590.7997850.400430.200215
1600.8147030.3705940.185297
1610.796950.40610.20305
1620.7916070.4167860.208393
1630.7725620.4548760.227438
1640.9648620.07027580.0351379
1650.9576430.08471480.0423574
1660.9576360.08472890.0423644
1670.9497870.1004250.0502126
1680.9478810.1042370.0521186
1690.9386850.122630.0613152
1700.9467470.1065060.0532532
1710.9388680.1222640.061132
1720.9345190.1309610.0654807
1730.9363640.1272710.0636357
1740.9256660.1486680.0743338
1750.912790.1744210.0872103
1760.9151360.1697280.0848639
1770.9067080.1865840.0932921
1780.9123310.1753390.0876694
1790.9075390.1849230.0924615
1800.9190110.1619780.0809892
1810.932560.1348810.0674403
1820.9408120.1183770.0591885
1830.9403620.1192750.0596375
1840.9289370.1421260.071063
1850.9421170.1157660.057883
1860.9317850.1364310.0682154
1870.9360640.1278720.0639358
1880.9404630.1190740.059537
1890.9417580.1164840.058242
1900.9327440.1345120.0672561
1910.9313830.1372330.0686167
1920.920280.159440.0797199
1930.9342660.1314680.0657339
1940.9415250.116950.0584748
1950.9346680.1306640.0653318
1960.9285510.1428970.0714487
1970.9292730.1414550.0707273
1980.9142070.1715870.0857934
1990.9031260.1937490.0968744
2000.8848220.2303560.115178
2010.8711360.2577280.128864
2020.8577660.2844670.142234
2030.8597830.2804340.140217
2040.834880.3302410.16512
2050.8175810.3648370.182419
2060.8034560.3930890.196544
2070.7882290.4235420.211771
2080.7692540.4614910.230746
2090.7489040.5021920.251096
2100.7382480.5235030.261752
2110.7153580.5692840.284642
2120.6765460.6469090.323454
2130.6772590.6454810.322741
2140.6379710.7240570.362029
2150.6210260.7579490.378974
2160.5783590.8432820.421641
2170.563040.8739190.43696
2180.536780.926440.46322
2190.5029140.9941720.497086
2200.4720560.9441120.527944
2210.4927940.9855890.507206
2220.5343710.9312580.465629
2230.4936460.9872910.506354
2240.6013540.7972930.398646
2250.6097110.7805770.390289
2260.671520.6569610.32848
2270.6968670.6062670.303133
2280.7469060.5061870.253094
2290.8118990.3762010.188101
2300.8527280.2945440.147272
2310.8557350.288530.144265
2320.8343730.3312530.165627
2330.8126480.3747040.187352
2340.7845320.4309360.215468
2350.7551290.4897430.244871
2360.8552110.2895770.144789
2370.8427530.3144940.157247
2380.8059920.3880160.194008
2390.806320.387360.19368
2400.7645410.4709180.235459
2410.7340750.531850.265925
2420.6856960.6286080.314304
2430.6359970.7280060.364003
2440.5742680.8514640.425732
2450.5211520.9576950.478848
2460.4525910.9051810.547409
2470.3838150.7676290.616185
2480.4753860.9507710.524614
2490.4473160.8946310.552684
2500.4065070.8130150.593493
2510.3435480.6870950.656452
2520.2763750.5527510.723625
2530.2392780.4785560.760722
2540.2367750.473550.763225
2550.3400890.6801770.659911
2560.3207970.6415930.679203
2570.2618860.5237720.738114
2580.3456410.6912810.654359
2590.8945550.2108910.105445
2600.9694370.06112630.0305632
2610.912170.1756610.0878303

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
17 & 0.644017 & 0.711966 & 0.355983 \tabularnewline
18 & 0.490318 & 0.980635 & 0.509682 \tabularnewline
19 & 0.358773 & 0.717547 & 0.641227 \tabularnewline
20 & 0.304369 & 0.608737 & 0.695631 \tabularnewline
21 & 0.211684 & 0.423369 & 0.788316 \tabularnewline
22 & 0.160249 & 0.320498 & 0.839751 \tabularnewline
23 & 0.181072 & 0.362144 & 0.818928 \tabularnewline
24 & 0.216249 & 0.432497 & 0.783751 \tabularnewline
25 & 0.156131 & 0.312263 & 0.843869 \tabularnewline
26 & 0.115946 & 0.231892 & 0.884054 \tabularnewline
27 & 0.081755 & 0.16351 & 0.918245 \tabularnewline
28 & 0.0925567 & 0.185113 & 0.907443 \tabularnewline
29 & 0.0632069 & 0.126414 & 0.936793 \tabularnewline
30 & 0.0452235 & 0.090447 & 0.954776 \tabularnewline
31 & 0.0476347 & 0.0952694 & 0.952365 \tabularnewline
32 & 0.0379799 & 0.0759598 & 0.96202 \tabularnewline
33 & 0.0673698 & 0.13474 & 0.93263 \tabularnewline
34 & 0.163999 & 0.327998 & 0.836001 \tabularnewline
35 & 0.126255 & 0.252509 & 0.873745 \tabularnewline
36 & 0.136842 & 0.273684 & 0.863158 \tabularnewline
37 & 0.132459 & 0.264918 & 0.867541 \tabularnewline
38 & 0.141246 & 0.282492 & 0.858754 \tabularnewline
39 & 0.134162 & 0.268325 & 0.865838 \tabularnewline
40 & 0.113478 & 0.226956 & 0.886522 \tabularnewline
41 & 0.139657 & 0.279314 & 0.860343 \tabularnewline
42 & 0.135061 & 0.270123 & 0.864939 \tabularnewline
43 & 0.117371 & 0.234742 & 0.882629 \tabularnewline
44 & 0.112328 & 0.224656 & 0.887672 \tabularnewline
45 & 0.0995331 & 0.199066 & 0.900467 \tabularnewline
46 & 0.0808428 & 0.161686 & 0.919157 \tabularnewline
47 & 0.0956822 & 0.191364 & 0.904318 \tabularnewline
48 & 0.089839 & 0.179678 & 0.910161 \tabularnewline
49 & 0.133012 & 0.266024 & 0.866988 \tabularnewline
50 & 0.155782 & 0.311565 & 0.844218 \tabularnewline
51 & 0.12719 & 0.25438 & 0.87281 \tabularnewline
52 & 0.151025 & 0.302049 & 0.848975 \tabularnewline
53 & 0.140931 & 0.281862 & 0.859069 \tabularnewline
54 & 0.120234 & 0.240468 & 0.879766 \tabularnewline
55 & 0.214227 & 0.428453 & 0.785773 \tabularnewline
56 & 0.181768 & 0.363536 & 0.818232 \tabularnewline
57 & 0.501964 & 0.996071 & 0.498036 \tabularnewline
58 & 0.542201 & 0.915599 & 0.457799 \tabularnewline
59 & 0.497812 & 0.995624 & 0.502188 \tabularnewline
60 & 0.492397 & 0.984793 & 0.507603 \tabularnewline
61 & 0.53036 & 0.93928 & 0.46964 \tabularnewline
62 & 0.519144 & 0.961711 & 0.480856 \tabularnewline
63 & 0.655661 & 0.688677 & 0.344339 \tabularnewline
64 & 0.694213 & 0.611574 & 0.305787 \tabularnewline
65 & 0.709602 & 0.580795 & 0.290398 \tabularnewline
66 & 0.688167 & 0.623666 & 0.311833 \tabularnewline
67 & 0.659388 & 0.681224 & 0.340612 \tabularnewline
68 & 0.640861 & 0.718277 & 0.359139 \tabularnewline
69 & 0.658865 & 0.68227 & 0.341135 \tabularnewline
70 & 0.63177 & 0.736459 & 0.36823 \tabularnewline
71 & 0.596459 & 0.807081 & 0.403541 \tabularnewline
72 & 0.563368 & 0.873264 & 0.436632 \tabularnewline
73 & 0.549004 & 0.901992 & 0.450996 \tabularnewline
74 & 0.606719 & 0.786562 & 0.393281 \tabularnewline
75 & 0.578664 & 0.842672 & 0.421336 \tabularnewline
76 & 0.55876 & 0.882479 & 0.44124 \tabularnewline
77 & 0.53507 & 0.929859 & 0.46493 \tabularnewline
78 & 0.510727 & 0.978546 & 0.489273 \tabularnewline
79 & 0.474604 & 0.949208 & 0.525396 \tabularnewline
80 & 0.472567 & 0.945135 & 0.527433 \tabularnewline
81 & 0.432217 & 0.864434 & 0.567783 \tabularnewline
82 & 0.458972 & 0.917945 & 0.541028 \tabularnewline
83 & 0.421208 & 0.842416 & 0.578792 \tabularnewline
84 & 0.60414 & 0.791721 & 0.39586 \tabularnewline
85 & 0.583766 & 0.832468 & 0.416234 \tabularnewline
86 & 0.545692 & 0.908615 & 0.454308 \tabularnewline
87 & 0.530577 & 0.938846 & 0.469423 \tabularnewline
88 & 0.537852 & 0.924297 & 0.462148 \tabularnewline
89 & 0.525308 & 0.949385 & 0.474692 \tabularnewline
90 & 0.512235 & 0.97553 & 0.487765 \tabularnewline
91 & 0.546564 & 0.906872 & 0.453436 \tabularnewline
92 & 0.703134 & 0.593731 & 0.296866 \tabularnewline
93 & 0.698731 & 0.602538 & 0.301269 \tabularnewline
94 & 0.680367 & 0.639267 & 0.319633 \tabularnewline
95 & 0.661649 & 0.676701 & 0.338351 \tabularnewline
96 & 0.638916 & 0.722168 & 0.361084 \tabularnewline
97 & 0.694781 & 0.610437 & 0.305219 \tabularnewline
98 & 0.681634 & 0.636733 & 0.318366 \tabularnewline
99 & 0.743898 & 0.512205 & 0.256102 \tabularnewline
100 & 0.746164 & 0.507672 & 0.253836 \tabularnewline
101 & 0.732208 & 0.535584 & 0.267792 \tabularnewline
102 & 0.70224 & 0.595519 & 0.29776 \tabularnewline
103 & 0.683928 & 0.632143 & 0.316072 \tabularnewline
104 & 0.662948 & 0.674105 & 0.337052 \tabularnewline
105 & 0.720424 & 0.559152 & 0.279576 \tabularnewline
106 & 0.699409 & 0.601182 & 0.300591 \tabularnewline
107 & 0.763308 & 0.473384 & 0.236692 \tabularnewline
108 & 0.852123 & 0.295753 & 0.147877 \tabularnewline
109 & 0.842918 & 0.314164 & 0.157082 \tabularnewline
110 & 0.830337 & 0.339325 & 0.169663 \tabularnewline
111 & 0.813422 & 0.373156 & 0.186578 \tabularnewline
112 & 0.795923 & 0.408154 & 0.204077 \tabularnewline
113 & 0.841594 & 0.316812 & 0.158406 \tabularnewline
114 & 0.903706 & 0.192589 & 0.0962943 \tabularnewline
115 & 0.940632 & 0.118736 & 0.059368 \tabularnewline
116 & 0.950141 & 0.0997178 & 0.0498589 \tabularnewline
117 & 0.943928 & 0.112143 & 0.0560717 \tabularnewline
118 & 0.934218 & 0.131565 & 0.0657823 \tabularnewline
119 & 0.92843 & 0.14314 & 0.0715698 \tabularnewline
120 & 0.92793 & 0.14414 & 0.0720701 \tabularnewline
121 & 0.936015 & 0.12797 & 0.0639848 \tabularnewline
122 & 0.931519 & 0.136962 & 0.0684809 \tabularnewline
123 & 0.934471 & 0.131058 & 0.065529 \tabularnewline
124 & 0.959241 & 0.0815171 & 0.0407585 \tabularnewline
125 & 0.95998 & 0.0800409 & 0.0400204 \tabularnewline
126 & 0.952649 & 0.0947017 & 0.0473508 \tabularnewline
127 & 0.948079 & 0.103841 & 0.0519206 \tabularnewline
128 & 0.9386 & 0.122799 & 0.0613997 \tabularnewline
129 & 0.936625 & 0.126749 & 0.0633746 \tabularnewline
130 & 0.926032 & 0.147937 & 0.0739684 \tabularnewline
131 & 0.916377 & 0.167246 & 0.0836232 \tabularnewline
132 & 0.907967 & 0.184065 & 0.0920327 \tabularnewline
133 & 0.896022 & 0.207956 & 0.103978 \tabularnewline
134 & 0.881543 & 0.236913 & 0.118457 \tabularnewline
135 & 0.863575 & 0.27285 & 0.136425 \tabularnewline
136 & 0.845416 & 0.309167 & 0.154584 \tabularnewline
137 & 0.863716 & 0.272567 & 0.136284 \tabularnewline
138 & 0.871863 & 0.256273 & 0.128137 \tabularnewline
139 & 0.860817 & 0.278367 & 0.139183 \tabularnewline
140 & 0.841027 & 0.317945 & 0.158973 \tabularnewline
141 & 0.827077 & 0.345846 & 0.172923 \tabularnewline
142 & 0.832171 & 0.335657 & 0.167829 \tabularnewline
143 & 0.808775 & 0.38245 & 0.191225 \tabularnewline
144 & 0.837251 & 0.325499 & 0.162749 \tabularnewline
145 & 0.815411 & 0.369177 & 0.184589 \tabularnewline
146 & 0.792458 & 0.415085 & 0.207542 \tabularnewline
147 & 0.768514 & 0.462973 & 0.231486 \tabularnewline
148 & 0.74201 & 0.515981 & 0.25799 \tabularnewline
149 & 0.717066 & 0.565867 & 0.282934 \tabularnewline
150 & 0.719108 & 0.561784 & 0.280892 \tabularnewline
151 & 0.883279 & 0.233443 & 0.116721 \tabularnewline
152 & 0.866692 & 0.266616 & 0.133308 \tabularnewline
153 & 0.868613 & 0.262775 & 0.131387 \tabularnewline
154 & 0.848555 & 0.30289 & 0.151445 \tabularnewline
155 & 0.850274 & 0.299451 & 0.149726 \tabularnewline
156 & 0.835769 & 0.328462 & 0.164231 \tabularnewline
157 & 0.815916 & 0.368168 & 0.184084 \tabularnewline
158 & 0.792784 & 0.414432 & 0.207216 \tabularnewline
159 & 0.799785 & 0.40043 & 0.200215 \tabularnewline
160 & 0.814703 & 0.370594 & 0.185297 \tabularnewline
161 & 0.79695 & 0.4061 & 0.20305 \tabularnewline
162 & 0.791607 & 0.416786 & 0.208393 \tabularnewline
163 & 0.772562 & 0.454876 & 0.227438 \tabularnewline
164 & 0.964862 & 0.0702758 & 0.0351379 \tabularnewline
165 & 0.957643 & 0.0847148 & 0.0423574 \tabularnewline
166 & 0.957636 & 0.0847289 & 0.0423644 \tabularnewline
167 & 0.949787 & 0.100425 & 0.0502126 \tabularnewline
168 & 0.947881 & 0.104237 & 0.0521186 \tabularnewline
169 & 0.938685 & 0.12263 & 0.0613152 \tabularnewline
170 & 0.946747 & 0.106506 & 0.0532532 \tabularnewline
171 & 0.938868 & 0.122264 & 0.061132 \tabularnewline
172 & 0.934519 & 0.130961 & 0.0654807 \tabularnewline
173 & 0.936364 & 0.127271 & 0.0636357 \tabularnewline
174 & 0.925666 & 0.148668 & 0.0743338 \tabularnewline
175 & 0.91279 & 0.174421 & 0.0872103 \tabularnewline
176 & 0.915136 & 0.169728 & 0.0848639 \tabularnewline
177 & 0.906708 & 0.186584 & 0.0932921 \tabularnewline
178 & 0.912331 & 0.175339 & 0.0876694 \tabularnewline
179 & 0.907539 & 0.184923 & 0.0924615 \tabularnewline
180 & 0.919011 & 0.161978 & 0.0809892 \tabularnewline
181 & 0.93256 & 0.134881 & 0.0674403 \tabularnewline
182 & 0.940812 & 0.118377 & 0.0591885 \tabularnewline
183 & 0.940362 & 0.119275 & 0.0596375 \tabularnewline
184 & 0.928937 & 0.142126 & 0.071063 \tabularnewline
185 & 0.942117 & 0.115766 & 0.057883 \tabularnewline
186 & 0.931785 & 0.136431 & 0.0682154 \tabularnewline
187 & 0.936064 & 0.127872 & 0.0639358 \tabularnewline
188 & 0.940463 & 0.119074 & 0.059537 \tabularnewline
189 & 0.941758 & 0.116484 & 0.058242 \tabularnewline
190 & 0.932744 & 0.134512 & 0.0672561 \tabularnewline
191 & 0.931383 & 0.137233 & 0.0686167 \tabularnewline
192 & 0.92028 & 0.15944 & 0.0797199 \tabularnewline
193 & 0.934266 & 0.131468 & 0.0657339 \tabularnewline
194 & 0.941525 & 0.11695 & 0.0584748 \tabularnewline
195 & 0.934668 & 0.130664 & 0.0653318 \tabularnewline
196 & 0.928551 & 0.142897 & 0.0714487 \tabularnewline
197 & 0.929273 & 0.141455 & 0.0707273 \tabularnewline
198 & 0.914207 & 0.171587 & 0.0857934 \tabularnewline
199 & 0.903126 & 0.193749 & 0.0968744 \tabularnewline
200 & 0.884822 & 0.230356 & 0.115178 \tabularnewline
201 & 0.871136 & 0.257728 & 0.128864 \tabularnewline
202 & 0.857766 & 0.284467 & 0.142234 \tabularnewline
203 & 0.859783 & 0.280434 & 0.140217 \tabularnewline
204 & 0.83488 & 0.330241 & 0.16512 \tabularnewline
205 & 0.817581 & 0.364837 & 0.182419 \tabularnewline
206 & 0.803456 & 0.393089 & 0.196544 \tabularnewline
207 & 0.788229 & 0.423542 & 0.211771 \tabularnewline
208 & 0.769254 & 0.461491 & 0.230746 \tabularnewline
209 & 0.748904 & 0.502192 & 0.251096 \tabularnewline
210 & 0.738248 & 0.523503 & 0.261752 \tabularnewline
211 & 0.715358 & 0.569284 & 0.284642 \tabularnewline
212 & 0.676546 & 0.646909 & 0.323454 \tabularnewline
213 & 0.677259 & 0.645481 & 0.322741 \tabularnewline
214 & 0.637971 & 0.724057 & 0.362029 \tabularnewline
215 & 0.621026 & 0.757949 & 0.378974 \tabularnewline
216 & 0.578359 & 0.843282 & 0.421641 \tabularnewline
217 & 0.56304 & 0.873919 & 0.43696 \tabularnewline
218 & 0.53678 & 0.92644 & 0.46322 \tabularnewline
219 & 0.502914 & 0.994172 & 0.497086 \tabularnewline
220 & 0.472056 & 0.944112 & 0.527944 \tabularnewline
221 & 0.492794 & 0.985589 & 0.507206 \tabularnewline
222 & 0.534371 & 0.931258 & 0.465629 \tabularnewline
223 & 0.493646 & 0.987291 & 0.506354 \tabularnewline
224 & 0.601354 & 0.797293 & 0.398646 \tabularnewline
225 & 0.609711 & 0.780577 & 0.390289 \tabularnewline
226 & 0.67152 & 0.656961 & 0.32848 \tabularnewline
227 & 0.696867 & 0.606267 & 0.303133 \tabularnewline
228 & 0.746906 & 0.506187 & 0.253094 \tabularnewline
229 & 0.811899 & 0.376201 & 0.188101 \tabularnewline
230 & 0.852728 & 0.294544 & 0.147272 \tabularnewline
231 & 0.855735 & 0.28853 & 0.144265 \tabularnewline
232 & 0.834373 & 0.331253 & 0.165627 \tabularnewline
233 & 0.812648 & 0.374704 & 0.187352 \tabularnewline
234 & 0.784532 & 0.430936 & 0.215468 \tabularnewline
235 & 0.755129 & 0.489743 & 0.244871 \tabularnewline
236 & 0.855211 & 0.289577 & 0.144789 \tabularnewline
237 & 0.842753 & 0.314494 & 0.157247 \tabularnewline
238 & 0.805992 & 0.388016 & 0.194008 \tabularnewline
239 & 0.80632 & 0.38736 & 0.19368 \tabularnewline
240 & 0.764541 & 0.470918 & 0.235459 \tabularnewline
241 & 0.734075 & 0.53185 & 0.265925 \tabularnewline
242 & 0.685696 & 0.628608 & 0.314304 \tabularnewline
243 & 0.635997 & 0.728006 & 0.364003 \tabularnewline
244 & 0.574268 & 0.851464 & 0.425732 \tabularnewline
245 & 0.521152 & 0.957695 & 0.478848 \tabularnewline
246 & 0.452591 & 0.905181 & 0.547409 \tabularnewline
247 & 0.383815 & 0.767629 & 0.616185 \tabularnewline
248 & 0.475386 & 0.950771 & 0.524614 \tabularnewline
249 & 0.447316 & 0.894631 & 0.552684 \tabularnewline
250 & 0.406507 & 0.813015 & 0.593493 \tabularnewline
251 & 0.343548 & 0.687095 & 0.656452 \tabularnewline
252 & 0.276375 & 0.552751 & 0.723625 \tabularnewline
253 & 0.239278 & 0.478556 & 0.760722 \tabularnewline
254 & 0.236775 & 0.47355 & 0.763225 \tabularnewline
255 & 0.340089 & 0.680177 & 0.659911 \tabularnewline
256 & 0.320797 & 0.641593 & 0.679203 \tabularnewline
257 & 0.261886 & 0.523772 & 0.738114 \tabularnewline
258 & 0.345641 & 0.691281 & 0.654359 \tabularnewline
259 & 0.894555 & 0.210891 & 0.105445 \tabularnewline
260 & 0.969437 & 0.0611263 & 0.0305632 \tabularnewline
261 & 0.91217 & 0.175661 & 0.0878303 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=262965&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]17[/C][C]0.644017[/C][C]0.711966[/C][C]0.355983[/C][/ROW]
[ROW][C]18[/C][C]0.490318[/C][C]0.980635[/C][C]0.509682[/C][/ROW]
[ROW][C]19[/C][C]0.358773[/C][C]0.717547[/C][C]0.641227[/C][/ROW]
[ROW][C]20[/C][C]0.304369[/C][C]0.608737[/C][C]0.695631[/C][/ROW]
[ROW][C]21[/C][C]0.211684[/C][C]0.423369[/C][C]0.788316[/C][/ROW]
[ROW][C]22[/C][C]0.160249[/C][C]0.320498[/C][C]0.839751[/C][/ROW]
[ROW][C]23[/C][C]0.181072[/C][C]0.362144[/C][C]0.818928[/C][/ROW]
[ROW][C]24[/C][C]0.216249[/C][C]0.432497[/C][C]0.783751[/C][/ROW]
[ROW][C]25[/C][C]0.156131[/C][C]0.312263[/C][C]0.843869[/C][/ROW]
[ROW][C]26[/C][C]0.115946[/C][C]0.231892[/C][C]0.884054[/C][/ROW]
[ROW][C]27[/C][C]0.081755[/C][C]0.16351[/C][C]0.918245[/C][/ROW]
[ROW][C]28[/C][C]0.0925567[/C][C]0.185113[/C][C]0.907443[/C][/ROW]
[ROW][C]29[/C][C]0.0632069[/C][C]0.126414[/C][C]0.936793[/C][/ROW]
[ROW][C]30[/C][C]0.0452235[/C][C]0.090447[/C][C]0.954776[/C][/ROW]
[ROW][C]31[/C][C]0.0476347[/C][C]0.0952694[/C][C]0.952365[/C][/ROW]
[ROW][C]32[/C][C]0.0379799[/C][C]0.0759598[/C][C]0.96202[/C][/ROW]
[ROW][C]33[/C][C]0.0673698[/C][C]0.13474[/C][C]0.93263[/C][/ROW]
[ROW][C]34[/C][C]0.163999[/C][C]0.327998[/C][C]0.836001[/C][/ROW]
[ROW][C]35[/C][C]0.126255[/C][C]0.252509[/C][C]0.873745[/C][/ROW]
[ROW][C]36[/C][C]0.136842[/C][C]0.273684[/C][C]0.863158[/C][/ROW]
[ROW][C]37[/C][C]0.132459[/C][C]0.264918[/C][C]0.867541[/C][/ROW]
[ROW][C]38[/C][C]0.141246[/C][C]0.282492[/C][C]0.858754[/C][/ROW]
[ROW][C]39[/C][C]0.134162[/C][C]0.268325[/C][C]0.865838[/C][/ROW]
[ROW][C]40[/C][C]0.113478[/C][C]0.226956[/C][C]0.886522[/C][/ROW]
[ROW][C]41[/C][C]0.139657[/C][C]0.279314[/C][C]0.860343[/C][/ROW]
[ROW][C]42[/C][C]0.135061[/C][C]0.270123[/C][C]0.864939[/C][/ROW]
[ROW][C]43[/C][C]0.117371[/C][C]0.234742[/C][C]0.882629[/C][/ROW]
[ROW][C]44[/C][C]0.112328[/C][C]0.224656[/C][C]0.887672[/C][/ROW]
[ROW][C]45[/C][C]0.0995331[/C][C]0.199066[/C][C]0.900467[/C][/ROW]
[ROW][C]46[/C][C]0.0808428[/C][C]0.161686[/C][C]0.919157[/C][/ROW]
[ROW][C]47[/C][C]0.0956822[/C][C]0.191364[/C][C]0.904318[/C][/ROW]
[ROW][C]48[/C][C]0.089839[/C][C]0.179678[/C][C]0.910161[/C][/ROW]
[ROW][C]49[/C][C]0.133012[/C][C]0.266024[/C][C]0.866988[/C][/ROW]
[ROW][C]50[/C][C]0.155782[/C][C]0.311565[/C][C]0.844218[/C][/ROW]
[ROW][C]51[/C][C]0.12719[/C][C]0.25438[/C][C]0.87281[/C][/ROW]
[ROW][C]52[/C][C]0.151025[/C][C]0.302049[/C][C]0.848975[/C][/ROW]
[ROW][C]53[/C][C]0.140931[/C][C]0.281862[/C][C]0.859069[/C][/ROW]
[ROW][C]54[/C][C]0.120234[/C][C]0.240468[/C][C]0.879766[/C][/ROW]
[ROW][C]55[/C][C]0.214227[/C][C]0.428453[/C][C]0.785773[/C][/ROW]
[ROW][C]56[/C][C]0.181768[/C][C]0.363536[/C][C]0.818232[/C][/ROW]
[ROW][C]57[/C][C]0.501964[/C][C]0.996071[/C][C]0.498036[/C][/ROW]
[ROW][C]58[/C][C]0.542201[/C][C]0.915599[/C][C]0.457799[/C][/ROW]
[ROW][C]59[/C][C]0.497812[/C][C]0.995624[/C][C]0.502188[/C][/ROW]
[ROW][C]60[/C][C]0.492397[/C][C]0.984793[/C][C]0.507603[/C][/ROW]
[ROW][C]61[/C][C]0.53036[/C][C]0.93928[/C][C]0.46964[/C][/ROW]
[ROW][C]62[/C][C]0.519144[/C][C]0.961711[/C][C]0.480856[/C][/ROW]
[ROW][C]63[/C][C]0.655661[/C][C]0.688677[/C][C]0.344339[/C][/ROW]
[ROW][C]64[/C][C]0.694213[/C][C]0.611574[/C][C]0.305787[/C][/ROW]
[ROW][C]65[/C][C]0.709602[/C][C]0.580795[/C][C]0.290398[/C][/ROW]
[ROW][C]66[/C][C]0.688167[/C][C]0.623666[/C][C]0.311833[/C][/ROW]
[ROW][C]67[/C][C]0.659388[/C][C]0.681224[/C][C]0.340612[/C][/ROW]
[ROW][C]68[/C][C]0.640861[/C][C]0.718277[/C][C]0.359139[/C][/ROW]
[ROW][C]69[/C][C]0.658865[/C][C]0.68227[/C][C]0.341135[/C][/ROW]
[ROW][C]70[/C][C]0.63177[/C][C]0.736459[/C][C]0.36823[/C][/ROW]
[ROW][C]71[/C][C]0.596459[/C][C]0.807081[/C][C]0.403541[/C][/ROW]
[ROW][C]72[/C][C]0.563368[/C][C]0.873264[/C][C]0.436632[/C][/ROW]
[ROW][C]73[/C][C]0.549004[/C][C]0.901992[/C][C]0.450996[/C][/ROW]
[ROW][C]74[/C][C]0.606719[/C][C]0.786562[/C][C]0.393281[/C][/ROW]
[ROW][C]75[/C][C]0.578664[/C][C]0.842672[/C][C]0.421336[/C][/ROW]
[ROW][C]76[/C][C]0.55876[/C][C]0.882479[/C][C]0.44124[/C][/ROW]
[ROW][C]77[/C][C]0.53507[/C][C]0.929859[/C][C]0.46493[/C][/ROW]
[ROW][C]78[/C][C]0.510727[/C][C]0.978546[/C][C]0.489273[/C][/ROW]
[ROW][C]79[/C][C]0.474604[/C][C]0.949208[/C][C]0.525396[/C][/ROW]
[ROW][C]80[/C][C]0.472567[/C][C]0.945135[/C][C]0.527433[/C][/ROW]
[ROW][C]81[/C][C]0.432217[/C][C]0.864434[/C][C]0.567783[/C][/ROW]
[ROW][C]82[/C][C]0.458972[/C][C]0.917945[/C][C]0.541028[/C][/ROW]
[ROW][C]83[/C][C]0.421208[/C][C]0.842416[/C][C]0.578792[/C][/ROW]
[ROW][C]84[/C][C]0.60414[/C][C]0.791721[/C][C]0.39586[/C][/ROW]
[ROW][C]85[/C][C]0.583766[/C][C]0.832468[/C][C]0.416234[/C][/ROW]
[ROW][C]86[/C][C]0.545692[/C][C]0.908615[/C][C]0.454308[/C][/ROW]
[ROW][C]87[/C][C]0.530577[/C][C]0.938846[/C][C]0.469423[/C][/ROW]
[ROW][C]88[/C][C]0.537852[/C][C]0.924297[/C][C]0.462148[/C][/ROW]
[ROW][C]89[/C][C]0.525308[/C][C]0.949385[/C][C]0.474692[/C][/ROW]
[ROW][C]90[/C][C]0.512235[/C][C]0.97553[/C][C]0.487765[/C][/ROW]
[ROW][C]91[/C][C]0.546564[/C][C]0.906872[/C][C]0.453436[/C][/ROW]
[ROW][C]92[/C][C]0.703134[/C][C]0.593731[/C][C]0.296866[/C][/ROW]
[ROW][C]93[/C][C]0.698731[/C][C]0.602538[/C][C]0.301269[/C][/ROW]
[ROW][C]94[/C][C]0.680367[/C][C]0.639267[/C][C]0.319633[/C][/ROW]
[ROW][C]95[/C][C]0.661649[/C][C]0.676701[/C][C]0.338351[/C][/ROW]
[ROW][C]96[/C][C]0.638916[/C][C]0.722168[/C][C]0.361084[/C][/ROW]
[ROW][C]97[/C][C]0.694781[/C][C]0.610437[/C][C]0.305219[/C][/ROW]
[ROW][C]98[/C][C]0.681634[/C][C]0.636733[/C][C]0.318366[/C][/ROW]
[ROW][C]99[/C][C]0.743898[/C][C]0.512205[/C][C]0.256102[/C][/ROW]
[ROW][C]100[/C][C]0.746164[/C][C]0.507672[/C][C]0.253836[/C][/ROW]
[ROW][C]101[/C][C]0.732208[/C][C]0.535584[/C][C]0.267792[/C][/ROW]
[ROW][C]102[/C][C]0.70224[/C][C]0.595519[/C][C]0.29776[/C][/ROW]
[ROW][C]103[/C][C]0.683928[/C][C]0.632143[/C][C]0.316072[/C][/ROW]
[ROW][C]104[/C][C]0.662948[/C][C]0.674105[/C][C]0.337052[/C][/ROW]
[ROW][C]105[/C][C]0.720424[/C][C]0.559152[/C][C]0.279576[/C][/ROW]
[ROW][C]106[/C][C]0.699409[/C][C]0.601182[/C][C]0.300591[/C][/ROW]
[ROW][C]107[/C][C]0.763308[/C][C]0.473384[/C][C]0.236692[/C][/ROW]
[ROW][C]108[/C][C]0.852123[/C][C]0.295753[/C][C]0.147877[/C][/ROW]
[ROW][C]109[/C][C]0.842918[/C][C]0.314164[/C][C]0.157082[/C][/ROW]
[ROW][C]110[/C][C]0.830337[/C][C]0.339325[/C][C]0.169663[/C][/ROW]
[ROW][C]111[/C][C]0.813422[/C][C]0.373156[/C][C]0.186578[/C][/ROW]
[ROW][C]112[/C][C]0.795923[/C][C]0.408154[/C][C]0.204077[/C][/ROW]
[ROW][C]113[/C][C]0.841594[/C][C]0.316812[/C][C]0.158406[/C][/ROW]
[ROW][C]114[/C][C]0.903706[/C][C]0.192589[/C][C]0.0962943[/C][/ROW]
[ROW][C]115[/C][C]0.940632[/C][C]0.118736[/C][C]0.059368[/C][/ROW]
[ROW][C]116[/C][C]0.950141[/C][C]0.0997178[/C][C]0.0498589[/C][/ROW]
[ROW][C]117[/C][C]0.943928[/C][C]0.112143[/C][C]0.0560717[/C][/ROW]
[ROW][C]118[/C][C]0.934218[/C][C]0.131565[/C][C]0.0657823[/C][/ROW]
[ROW][C]119[/C][C]0.92843[/C][C]0.14314[/C][C]0.0715698[/C][/ROW]
[ROW][C]120[/C][C]0.92793[/C][C]0.14414[/C][C]0.0720701[/C][/ROW]
[ROW][C]121[/C][C]0.936015[/C][C]0.12797[/C][C]0.0639848[/C][/ROW]
[ROW][C]122[/C][C]0.931519[/C][C]0.136962[/C][C]0.0684809[/C][/ROW]
[ROW][C]123[/C][C]0.934471[/C][C]0.131058[/C][C]0.065529[/C][/ROW]
[ROW][C]124[/C][C]0.959241[/C][C]0.0815171[/C][C]0.0407585[/C][/ROW]
[ROW][C]125[/C][C]0.95998[/C][C]0.0800409[/C][C]0.0400204[/C][/ROW]
[ROW][C]126[/C][C]0.952649[/C][C]0.0947017[/C][C]0.0473508[/C][/ROW]
[ROW][C]127[/C][C]0.948079[/C][C]0.103841[/C][C]0.0519206[/C][/ROW]
[ROW][C]128[/C][C]0.9386[/C][C]0.122799[/C][C]0.0613997[/C][/ROW]
[ROW][C]129[/C][C]0.936625[/C][C]0.126749[/C][C]0.0633746[/C][/ROW]
[ROW][C]130[/C][C]0.926032[/C][C]0.147937[/C][C]0.0739684[/C][/ROW]
[ROW][C]131[/C][C]0.916377[/C][C]0.167246[/C][C]0.0836232[/C][/ROW]
[ROW][C]132[/C][C]0.907967[/C][C]0.184065[/C][C]0.0920327[/C][/ROW]
[ROW][C]133[/C][C]0.896022[/C][C]0.207956[/C][C]0.103978[/C][/ROW]
[ROW][C]134[/C][C]0.881543[/C][C]0.236913[/C][C]0.118457[/C][/ROW]
[ROW][C]135[/C][C]0.863575[/C][C]0.27285[/C][C]0.136425[/C][/ROW]
[ROW][C]136[/C][C]0.845416[/C][C]0.309167[/C][C]0.154584[/C][/ROW]
[ROW][C]137[/C][C]0.863716[/C][C]0.272567[/C][C]0.136284[/C][/ROW]
[ROW][C]138[/C][C]0.871863[/C][C]0.256273[/C][C]0.128137[/C][/ROW]
[ROW][C]139[/C][C]0.860817[/C][C]0.278367[/C][C]0.139183[/C][/ROW]
[ROW][C]140[/C][C]0.841027[/C][C]0.317945[/C][C]0.158973[/C][/ROW]
[ROW][C]141[/C][C]0.827077[/C][C]0.345846[/C][C]0.172923[/C][/ROW]
[ROW][C]142[/C][C]0.832171[/C][C]0.335657[/C][C]0.167829[/C][/ROW]
[ROW][C]143[/C][C]0.808775[/C][C]0.38245[/C][C]0.191225[/C][/ROW]
[ROW][C]144[/C][C]0.837251[/C][C]0.325499[/C][C]0.162749[/C][/ROW]
[ROW][C]145[/C][C]0.815411[/C][C]0.369177[/C][C]0.184589[/C][/ROW]
[ROW][C]146[/C][C]0.792458[/C][C]0.415085[/C][C]0.207542[/C][/ROW]
[ROW][C]147[/C][C]0.768514[/C][C]0.462973[/C][C]0.231486[/C][/ROW]
[ROW][C]148[/C][C]0.74201[/C][C]0.515981[/C][C]0.25799[/C][/ROW]
[ROW][C]149[/C][C]0.717066[/C][C]0.565867[/C][C]0.282934[/C][/ROW]
[ROW][C]150[/C][C]0.719108[/C][C]0.561784[/C][C]0.280892[/C][/ROW]
[ROW][C]151[/C][C]0.883279[/C][C]0.233443[/C][C]0.116721[/C][/ROW]
[ROW][C]152[/C][C]0.866692[/C][C]0.266616[/C][C]0.133308[/C][/ROW]
[ROW][C]153[/C][C]0.868613[/C][C]0.262775[/C][C]0.131387[/C][/ROW]
[ROW][C]154[/C][C]0.848555[/C][C]0.30289[/C][C]0.151445[/C][/ROW]
[ROW][C]155[/C][C]0.850274[/C][C]0.299451[/C][C]0.149726[/C][/ROW]
[ROW][C]156[/C][C]0.835769[/C][C]0.328462[/C][C]0.164231[/C][/ROW]
[ROW][C]157[/C][C]0.815916[/C][C]0.368168[/C][C]0.184084[/C][/ROW]
[ROW][C]158[/C][C]0.792784[/C][C]0.414432[/C][C]0.207216[/C][/ROW]
[ROW][C]159[/C][C]0.799785[/C][C]0.40043[/C][C]0.200215[/C][/ROW]
[ROW][C]160[/C][C]0.814703[/C][C]0.370594[/C][C]0.185297[/C][/ROW]
[ROW][C]161[/C][C]0.79695[/C][C]0.4061[/C][C]0.20305[/C][/ROW]
[ROW][C]162[/C][C]0.791607[/C][C]0.416786[/C][C]0.208393[/C][/ROW]
[ROW][C]163[/C][C]0.772562[/C][C]0.454876[/C][C]0.227438[/C][/ROW]
[ROW][C]164[/C][C]0.964862[/C][C]0.0702758[/C][C]0.0351379[/C][/ROW]
[ROW][C]165[/C][C]0.957643[/C][C]0.0847148[/C][C]0.0423574[/C][/ROW]
[ROW][C]166[/C][C]0.957636[/C][C]0.0847289[/C][C]0.0423644[/C][/ROW]
[ROW][C]167[/C][C]0.949787[/C][C]0.100425[/C][C]0.0502126[/C][/ROW]
[ROW][C]168[/C][C]0.947881[/C][C]0.104237[/C][C]0.0521186[/C][/ROW]
[ROW][C]169[/C][C]0.938685[/C][C]0.12263[/C][C]0.0613152[/C][/ROW]
[ROW][C]170[/C][C]0.946747[/C][C]0.106506[/C][C]0.0532532[/C][/ROW]
[ROW][C]171[/C][C]0.938868[/C][C]0.122264[/C][C]0.061132[/C][/ROW]
[ROW][C]172[/C][C]0.934519[/C][C]0.130961[/C][C]0.0654807[/C][/ROW]
[ROW][C]173[/C][C]0.936364[/C][C]0.127271[/C][C]0.0636357[/C][/ROW]
[ROW][C]174[/C][C]0.925666[/C][C]0.148668[/C][C]0.0743338[/C][/ROW]
[ROW][C]175[/C][C]0.91279[/C][C]0.174421[/C][C]0.0872103[/C][/ROW]
[ROW][C]176[/C][C]0.915136[/C][C]0.169728[/C][C]0.0848639[/C][/ROW]
[ROW][C]177[/C][C]0.906708[/C][C]0.186584[/C][C]0.0932921[/C][/ROW]
[ROW][C]178[/C][C]0.912331[/C][C]0.175339[/C][C]0.0876694[/C][/ROW]
[ROW][C]179[/C][C]0.907539[/C][C]0.184923[/C][C]0.0924615[/C][/ROW]
[ROW][C]180[/C][C]0.919011[/C][C]0.161978[/C][C]0.0809892[/C][/ROW]
[ROW][C]181[/C][C]0.93256[/C][C]0.134881[/C][C]0.0674403[/C][/ROW]
[ROW][C]182[/C][C]0.940812[/C][C]0.118377[/C][C]0.0591885[/C][/ROW]
[ROW][C]183[/C][C]0.940362[/C][C]0.119275[/C][C]0.0596375[/C][/ROW]
[ROW][C]184[/C][C]0.928937[/C][C]0.142126[/C][C]0.071063[/C][/ROW]
[ROW][C]185[/C][C]0.942117[/C][C]0.115766[/C][C]0.057883[/C][/ROW]
[ROW][C]186[/C][C]0.931785[/C][C]0.136431[/C][C]0.0682154[/C][/ROW]
[ROW][C]187[/C][C]0.936064[/C][C]0.127872[/C][C]0.0639358[/C][/ROW]
[ROW][C]188[/C][C]0.940463[/C][C]0.119074[/C][C]0.059537[/C][/ROW]
[ROW][C]189[/C][C]0.941758[/C][C]0.116484[/C][C]0.058242[/C][/ROW]
[ROW][C]190[/C][C]0.932744[/C][C]0.134512[/C][C]0.0672561[/C][/ROW]
[ROW][C]191[/C][C]0.931383[/C][C]0.137233[/C][C]0.0686167[/C][/ROW]
[ROW][C]192[/C][C]0.92028[/C][C]0.15944[/C][C]0.0797199[/C][/ROW]
[ROW][C]193[/C][C]0.934266[/C][C]0.131468[/C][C]0.0657339[/C][/ROW]
[ROW][C]194[/C][C]0.941525[/C][C]0.11695[/C][C]0.0584748[/C][/ROW]
[ROW][C]195[/C][C]0.934668[/C][C]0.130664[/C][C]0.0653318[/C][/ROW]
[ROW][C]196[/C][C]0.928551[/C][C]0.142897[/C][C]0.0714487[/C][/ROW]
[ROW][C]197[/C][C]0.929273[/C][C]0.141455[/C][C]0.0707273[/C][/ROW]
[ROW][C]198[/C][C]0.914207[/C][C]0.171587[/C][C]0.0857934[/C][/ROW]
[ROW][C]199[/C][C]0.903126[/C][C]0.193749[/C][C]0.0968744[/C][/ROW]
[ROW][C]200[/C][C]0.884822[/C][C]0.230356[/C][C]0.115178[/C][/ROW]
[ROW][C]201[/C][C]0.871136[/C][C]0.257728[/C][C]0.128864[/C][/ROW]
[ROW][C]202[/C][C]0.857766[/C][C]0.284467[/C][C]0.142234[/C][/ROW]
[ROW][C]203[/C][C]0.859783[/C][C]0.280434[/C][C]0.140217[/C][/ROW]
[ROW][C]204[/C][C]0.83488[/C][C]0.330241[/C][C]0.16512[/C][/ROW]
[ROW][C]205[/C][C]0.817581[/C][C]0.364837[/C][C]0.182419[/C][/ROW]
[ROW][C]206[/C][C]0.803456[/C][C]0.393089[/C][C]0.196544[/C][/ROW]
[ROW][C]207[/C][C]0.788229[/C][C]0.423542[/C][C]0.211771[/C][/ROW]
[ROW][C]208[/C][C]0.769254[/C][C]0.461491[/C][C]0.230746[/C][/ROW]
[ROW][C]209[/C][C]0.748904[/C][C]0.502192[/C][C]0.251096[/C][/ROW]
[ROW][C]210[/C][C]0.738248[/C][C]0.523503[/C][C]0.261752[/C][/ROW]
[ROW][C]211[/C][C]0.715358[/C][C]0.569284[/C][C]0.284642[/C][/ROW]
[ROW][C]212[/C][C]0.676546[/C][C]0.646909[/C][C]0.323454[/C][/ROW]
[ROW][C]213[/C][C]0.677259[/C][C]0.645481[/C][C]0.322741[/C][/ROW]
[ROW][C]214[/C][C]0.637971[/C][C]0.724057[/C][C]0.362029[/C][/ROW]
[ROW][C]215[/C][C]0.621026[/C][C]0.757949[/C][C]0.378974[/C][/ROW]
[ROW][C]216[/C][C]0.578359[/C][C]0.843282[/C][C]0.421641[/C][/ROW]
[ROW][C]217[/C][C]0.56304[/C][C]0.873919[/C][C]0.43696[/C][/ROW]
[ROW][C]218[/C][C]0.53678[/C][C]0.92644[/C][C]0.46322[/C][/ROW]
[ROW][C]219[/C][C]0.502914[/C][C]0.994172[/C][C]0.497086[/C][/ROW]
[ROW][C]220[/C][C]0.472056[/C][C]0.944112[/C][C]0.527944[/C][/ROW]
[ROW][C]221[/C][C]0.492794[/C][C]0.985589[/C][C]0.507206[/C][/ROW]
[ROW][C]222[/C][C]0.534371[/C][C]0.931258[/C][C]0.465629[/C][/ROW]
[ROW][C]223[/C][C]0.493646[/C][C]0.987291[/C][C]0.506354[/C][/ROW]
[ROW][C]224[/C][C]0.601354[/C][C]0.797293[/C][C]0.398646[/C][/ROW]
[ROW][C]225[/C][C]0.609711[/C][C]0.780577[/C][C]0.390289[/C][/ROW]
[ROW][C]226[/C][C]0.67152[/C][C]0.656961[/C][C]0.32848[/C][/ROW]
[ROW][C]227[/C][C]0.696867[/C][C]0.606267[/C][C]0.303133[/C][/ROW]
[ROW][C]228[/C][C]0.746906[/C][C]0.506187[/C][C]0.253094[/C][/ROW]
[ROW][C]229[/C][C]0.811899[/C][C]0.376201[/C][C]0.188101[/C][/ROW]
[ROW][C]230[/C][C]0.852728[/C][C]0.294544[/C][C]0.147272[/C][/ROW]
[ROW][C]231[/C][C]0.855735[/C][C]0.28853[/C][C]0.144265[/C][/ROW]
[ROW][C]232[/C][C]0.834373[/C][C]0.331253[/C][C]0.165627[/C][/ROW]
[ROW][C]233[/C][C]0.812648[/C][C]0.374704[/C][C]0.187352[/C][/ROW]
[ROW][C]234[/C][C]0.784532[/C][C]0.430936[/C][C]0.215468[/C][/ROW]
[ROW][C]235[/C][C]0.755129[/C][C]0.489743[/C][C]0.244871[/C][/ROW]
[ROW][C]236[/C][C]0.855211[/C][C]0.289577[/C][C]0.144789[/C][/ROW]
[ROW][C]237[/C][C]0.842753[/C][C]0.314494[/C][C]0.157247[/C][/ROW]
[ROW][C]238[/C][C]0.805992[/C][C]0.388016[/C][C]0.194008[/C][/ROW]
[ROW][C]239[/C][C]0.80632[/C][C]0.38736[/C][C]0.19368[/C][/ROW]
[ROW][C]240[/C][C]0.764541[/C][C]0.470918[/C][C]0.235459[/C][/ROW]
[ROW][C]241[/C][C]0.734075[/C][C]0.53185[/C][C]0.265925[/C][/ROW]
[ROW][C]242[/C][C]0.685696[/C][C]0.628608[/C][C]0.314304[/C][/ROW]
[ROW][C]243[/C][C]0.635997[/C][C]0.728006[/C][C]0.364003[/C][/ROW]
[ROW][C]244[/C][C]0.574268[/C][C]0.851464[/C][C]0.425732[/C][/ROW]
[ROW][C]245[/C][C]0.521152[/C][C]0.957695[/C][C]0.478848[/C][/ROW]
[ROW][C]246[/C][C]0.452591[/C][C]0.905181[/C][C]0.547409[/C][/ROW]
[ROW][C]247[/C][C]0.383815[/C][C]0.767629[/C][C]0.616185[/C][/ROW]
[ROW][C]248[/C][C]0.475386[/C][C]0.950771[/C][C]0.524614[/C][/ROW]
[ROW][C]249[/C][C]0.447316[/C][C]0.894631[/C][C]0.552684[/C][/ROW]
[ROW][C]250[/C][C]0.406507[/C][C]0.813015[/C][C]0.593493[/C][/ROW]
[ROW][C]251[/C][C]0.343548[/C][C]0.687095[/C][C]0.656452[/C][/ROW]
[ROW][C]252[/C][C]0.276375[/C][C]0.552751[/C][C]0.723625[/C][/ROW]
[ROW][C]253[/C][C]0.239278[/C][C]0.478556[/C][C]0.760722[/C][/ROW]
[ROW][C]254[/C][C]0.236775[/C][C]0.47355[/C][C]0.763225[/C][/ROW]
[ROW][C]255[/C][C]0.340089[/C][C]0.680177[/C][C]0.659911[/C][/ROW]
[ROW][C]256[/C][C]0.320797[/C][C]0.641593[/C][C]0.679203[/C][/ROW]
[ROW][C]257[/C][C]0.261886[/C][C]0.523772[/C][C]0.738114[/C][/ROW]
[ROW][C]258[/C][C]0.345641[/C][C]0.691281[/C][C]0.654359[/C][/ROW]
[ROW][C]259[/C][C]0.894555[/C][C]0.210891[/C][C]0.105445[/C][/ROW]
[ROW][C]260[/C][C]0.969437[/C][C]0.0611263[/C][C]0.0305632[/C][/ROW]
[ROW][C]261[/C][C]0.91217[/C][C]0.175661[/C][C]0.0878303[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=262965&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=262965&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
170.6440170.7119660.355983
180.4903180.9806350.509682
190.3587730.7175470.641227
200.3043690.6087370.695631
210.2116840.4233690.788316
220.1602490.3204980.839751
230.1810720.3621440.818928
240.2162490.4324970.783751
250.1561310.3122630.843869
260.1159460.2318920.884054
270.0817550.163510.918245
280.09255670.1851130.907443
290.06320690.1264140.936793
300.04522350.0904470.954776
310.04763470.09526940.952365
320.03797990.07595980.96202
330.06736980.134740.93263
340.1639990.3279980.836001
350.1262550.2525090.873745
360.1368420.2736840.863158
370.1324590.2649180.867541
380.1412460.2824920.858754
390.1341620.2683250.865838
400.1134780.2269560.886522
410.1396570.2793140.860343
420.1350610.2701230.864939
430.1173710.2347420.882629
440.1123280.2246560.887672
450.09953310.1990660.900467
460.08084280.1616860.919157
470.09568220.1913640.904318
480.0898390.1796780.910161
490.1330120.2660240.866988
500.1557820.3115650.844218
510.127190.254380.87281
520.1510250.3020490.848975
530.1409310.2818620.859069
540.1202340.2404680.879766
550.2142270.4284530.785773
560.1817680.3635360.818232
570.5019640.9960710.498036
580.5422010.9155990.457799
590.4978120.9956240.502188
600.4923970.9847930.507603
610.530360.939280.46964
620.5191440.9617110.480856
630.6556610.6886770.344339
640.6942130.6115740.305787
650.7096020.5807950.290398
660.6881670.6236660.311833
670.6593880.6812240.340612
680.6408610.7182770.359139
690.6588650.682270.341135
700.631770.7364590.36823
710.5964590.8070810.403541
720.5633680.8732640.436632
730.5490040.9019920.450996
740.6067190.7865620.393281
750.5786640.8426720.421336
760.558760.8824790.44124
770.535070.9298590.46493
780.5107270.9785460.489273
790.4746040.9492080.525396
800.4725670.9451350.527433
810.4322170.8644340.567783
820.4589720.9179450.541028
830.4212080.8424160.578792
840.604140.7917210.39586
850.5837660.8324680.416234
860.5456920.9086150.454308
870.5305770.9388460.469423
880.5378520.9242970.462148
890.5253080.9493850.474692
900.5122350.975530.487765
910.5465640.9068720.453436
920.7031340.5937310.296866
930.6987310.6025380.301269
940.6803670.6392670.319633
950.6616490.6767010.338351
960.6389160.7221680.361084
970.6947810.6104370.305219
980.6816340.6367330.318366
990.7438980.5122050.256102
1000.7461640.5076720.253836
1010.7322080.5355840.267792
1020.702240.5955190.29776
1030.6839280.6321430.316072
1040.6629480.6741050.337052
1050.7204240.5591520.279576
1060.6994090.6011820.300591
1070.7633080.4733840.236692
1080.8521230.2957530.147877
1090.8429180.3141640.157082
1100.8303370.3393250.169663
1110.8134220.3731560.186578
1120.7959230.4081540.204077
1130.8415940.3168120.158406
1140.9037060.1925890.0962943
1150.9406320.1187360.059368
1160.9501410.09971780.0498589
1170.9439280.1121430.0560717
1180.9342180.1315650.0657823
1190.928430.143140.0715698
1200.927930.144140.0720701
1210.9360150.127970.0639848
1220.9315190.1369620.0684809
1230.9344710.1310580.065529
1240.9592410.08151710.0407585
1250.959980.08004090.0400204
1260.9526490.09470170.0473508
1270.9480790.1038410.0519206
1280.93860.1227990.0613997
1290.9366250.1267490.0633746
1300.9260320.1479370.0739684
1310.9163770.1672460.0836232
1320.9079670.1840650.0920327
1330.8960220.2079560.103978
1340.8815430.2369130.118457
1350.8635750.272850.136425
1360.8454160.3091670.154584
1370.8637160.2725670.136284
1380.8718630.2562730.128137
1390.8608170.2783670.139183
1400.8410270.3179450.158973
1410.8270770.3458460.172923
1420.8321710.3356570.167829
1430.8087750.382450.191225
1440.8372510.3254990.162749
1450.8154110.3691770.184589
1460.7924580.4150850.207542
1470.7685140.4629730.231486
1480.742010.5159810.25799
1490.7170660.5658670.282934
1500.7191080.5617840.280892
1510.8832790.2334430.116721
1520.8666920.2666160.133308
1530.8686130.2627750.131387
1540.8485550.302890.151445
1550.8502740.2994510.149726
1560.8357690.3284620.164231
1570.8159160.3681680.184084
1580.7927840.4144320.207216
1590.7997850.400430.200215
1600.8147030.3705940.185297
1610.796950.40610.20305
1620.7916070.4167860.208393
1630.7725620.4548760.227438
1640.9648620.07027580.0351379
1650.9576430.08471480.0423574
1660.9576360.08472890.0423644
1670.9497870.1004250.0502126
1680.9478810.1042370.0521186
1690.9386850.122630.0613152
1700.9467470.1065060.0532532
1710.9388680.1222640.061132
1720.9345190.1309610.0654807
1730.9363640.1272710.0636357
1740.9256660.1486680.0743338
1750.912790.1744210.0872103
1760.9151360.1697280.0848639
1770.9067080.1865840.0932921
1780.9123310.1753390.0876694
1790.9075390.1849230.0924615
1800.9190110.1619780.0809892
1810.932560.1348810.0674403
1820.9408120.1183770.0591885
1830.9403620.1192750.0596375
1840.9289370.1421260.071063
1850.9421170.1157660.057883
1860.9317850.1364310.0682154
1870.9360640.1278720.0639358
1880.9404630.1190740.059537
1890.9417580.1164840.058242
1900.9327440.1345120.0672561
1910.9313830.1372330.0686167
1920.920280.159440.0797199
1930.9342660.1314680.0657339
1940.9415250.116950.0584748
1950.9346680.1306640.0653318
1960.9285510.1428970.0714487
1970.9292730.1414550.0707273
1980.9142070.1715870.0857934
1990.9031260.1937490.0968744
2000.8848220.2303560.115178
2010.8711360.2577280.128864
2020.8577660.2844670.142234
2030.8597830.2804340.140217
2040.834880.3302410.16512
2050.8175810.3648370.182419
2060.8034560.3930890.196544
2070.7882290.4235420.211771
2080.7692540.4614910.230746
2090.7489040.5021920.251096
2100.7382480.5235030.261752
2110.7153580.5692840.284642
2120.6765460.6469090.323454
2130.6772590.6454810.322741
2140.6379710.7240570.362029
2150.6210260.7579490.378974
2160.5783590.8432820.421641
2170.563040.8739190.43696
2180.536780.926440.46322
2190.5029140.9941720.497086
2200.4720560.9441120.527944
2210.4927940.9855890.507206
2220.5343710.9312580.465629
2230.4936460.9872910.506354
2240.6013540.7972930.398646
2250.6097110.7805770.390289
2260.671520.6569610.32848
2270.6968670.6062670.303133
2280.7469060.5061870.253094
2290.8118990.3762010.188101
2300.8527280.2945440.147272
2310.8557350.288530.144265
2320.8343730.3312530.165627
2330.8126480.3747040.187352
2340.7845320.4309360.215468
2350.7551290.4897430.244871
2360.8552110.2895770.144789
2370.8427530.3144940.157247
2380.8059920.3880160.194008
2390.806320.387360.19368
2400.7645410.4709180.235459
2410.7340750.531850.265925
2420.6856960.6286080.314304
2430.6359970.7280060.364003
2440.5742680.8514640.425732
2450.5211520.9576950.478848
2460.4525910.9051810.547409
2470.3838150.7676290.616185
2480.4753860.9507710.524614
2490.4473160.8946310.552684
2500.4065070.8130150.593493
2510.3435480.6870950.656452
2520.2763750.5527510.723625
2530.2392780.4785560.760722
2540.2367750.473550.763225
2550.3400890.6801770.659911
2560.3207970.6415930.679203
2570.2618860.5237720.738114
2580.3456410.6912810.654359
2590.8945550.2108910.105445
2600.9694370.06112630.0305632
2610.912170.1756610.0878303







Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level00OK
10% type I error level110.044898OK

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
Description & # significant tests & % significant tests & OK/NOK \tabularnewline
1% type I error level & 0 & 0 & OK \tabularnewline
5% type I error level & 0 & 0 & OK \tabularnewline
10% type I error level & 11 & 0.044898 & OK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=262965&T=6

[TABLE]
[ROW][C]Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]Description[/C][C]# significant tests[/C][C]% significant tests[/C][C]OK/NOK[/C][/ROW]
[ROW][C]1% type I error level[/C][C]0[/C][C]0[/C][C]OK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]0[/C][C]0[/C][C]OK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]11[/C][C]0.044898[/C][C]OK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=262965&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=262965&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 level00OK
5% type I error level00OK
10% type I error level110.044898OK



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')
}