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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationSat, 13 Dec 2014 11:31:52 +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/13/t1418470333qjmf17m8013ljg4.htm/, Retrieved Thu, 16 May 2024 13:28:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=266997, Retrieved Thu, 16 May 2024 13:28:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact86

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [Multiple Regressi...] [2014-12-13 11:31:52] [56a3e0974002d1c8d48b4dd203e70051] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.5 149 96 18 68
2.1 139 70 31 39
2.1 148 88 39 32
1.9 158 114 46 62
1.6 128 69 31 33
2.1 224 176 67 52
2.1 159 114 35 62
2.2 105 121 52 77
1.5 159 110 77 76
1.9 167 158 37 41
2.2 165 116 32 48
1.6 159 181 36 63
1.5 119 77 38 30
1.9 176 141 69 78
0.1 54 35 21 19
2.2 91 80 26 31
1.8 163 152 54 66
1.6 124 97 36 35
2.2 137 99 42 42
2.1 121 84 23 45
1.9 153 68 34 21
1.6 148 101 112 25
1.9 221 107 35 44
2.2 188 88 47 69
1.8 149 112 47 54
2.4 244 171 37 74
2.4 148 137 109 80
2.5 92 77 24 42
1.9 150 66 20 61
2.1 153 93 22 41
1.9 94 105 23 46
2.1 156 131 32 39
1.5 132 102 30 34
1.9 161 161 92 51
2.1 105 120 43 42
1.5 97 127 55 31
2.1 151 77 16 39
2.1 131 108 49 20
1.8 166 85 71 49
2.4 157 168 43 53
2.1 111 48 29 31
1.9 145 152 56 39
2.1 162 75 46 54
1.9 163 107 19 49
2.4 59 62 23 34
2.1 187 121 59 46
2.2 109 124 30 55
2.2 90 72 61 42
1.8 105 40 7 50
2.1 83 58 38 13
2.4 116 97 32 37
2.2 42 88 16 25
2.1 148 126 19 30
1.5 155 104 22 28
1.9 125 148 48 45
1.8 116 146 23 35
1.8 128 80 26 28
1.6 138 97 33 41
1.2 49 25 9 6
1.8 96 99 24 45
1.5 164 118 34 73
2.1 162 58 48 17
2.4 99 63 18 40
2.4 202 139 43 64
1.5 186 50 33 37
1.8 66 60 28 25
2.1 183 152 71 65
2.2 214 142 26 100
2.1 188 94 67 28
1.9 104 66 34 35
2.1 177 127 80 56
1.9 126 67 29 29
1.6 76 90 16 43
2.4 99 75 59 59
1.9 139 128 32 50
2.1 162 146 43 59
1.8 108 69 38 27
2.1 159 186 29 61
2.4 74 81 36 28
2.1 110 85 32 51
2.2 96 54 35 35
2.1 116 46 21 29
2.2 87 106 29 48
1.6 97 34 12 25
2.4 127 60 37 44
2.1 106 95 37 64
1.9 80 57 47 32
2.4 74 62 51 20
2.1 91 36 32 28
1.8 133 56 21 34
2.1 74 54 13 31
1.8 114 64 14 26
1.9 140 76 -2 58
1.9 95 98 20 23
2.4 98 88 24 21
1.8 121 35 11 21
1.8 126 102 23 33
2.1 98 61 24 16
2.1 95 80 14 20
2.4 110 49 52 37
1.9 70 78 15 35
1.8 102 90 23 33
1.8 86 45 19 27
2.2 130 55 35 41
2.4 96 96 24 40
1.8 102 43 39 35
2.4 100 52 29 28
1.8 94 60 13 32
1.9 52 54 8 22
2.4 98 51 18 44
2.1 118 51 24 27
1.9 99 38 19 17
2.1 48 41 23 12
2.7 50 146 16 45
2.1 150 182 33 37
2.1 154 192 32 37
2.1 109 263 37 108
2.1 68 35 14 10
2.1 194 439 52 68
2.1 158 214 75 72
2.1 159 341 72 143
2.1 67 58 15 9
2.4 147 292 29 55
1.95 39 85 13 17
2.1 100 200 40 37
2.1 111 158 19 27
1.95 138 199 24 37
2.1 101 297 121 58
2.4 131 227 93 66
2.1 101 108 36 21
2.25 114 86 23 19
2.4 165 302 85 78
2.25 114 148 41 35
2.55 111 178 46 48
1.95 75 120 18 27
2.4 82 207 35 43
2.1 121 157 17 30
2.1 32 128 4 25
2.4 150 296 28 69
2.1 117 323 44 72
2.1 71 79 10 23
2.25 165 70 38 13
2.25 154 146 57 61
2.4 126 246 23 43
2.1 149 196 36 51
2.4 145 199 22 67
2.1 120 127 40 36
2.1 109 153 31 44
2.25 132 299 11 45
2.25 172 228 38 34
2.4 169 190 24 36
2.25 114 180 37 72
2.25 156 212 37 39
2.1 172 269 22 43
2.1 68 130 15 25
2.1 89 179 2 56
2.7 167 243 43 80
2.1 113 190 31 40
2.1 115 299 29 73
2.25 78 121 45 34
2.7 118 137 25 72
2.4 87 305 4 42
2.1 173 157 31 61
2.1 2 96 -4 23
2.4 162 183 66 74
1.95 49 52 61 16
2.7 122 238 32 66
2.1 96 40 31 9
2.25 100 226 39 41
2.1 82 190 19 57
2.7 100 214 31 48
2.1 115 145 36 51
2.1 141 119 42 53
1.65 165 222 21 29
1.65 165 222 21 29
2.1 110 159 25 55
2.1 118 165 32 54
2.1 158 249 26 43
2.1 146 125 28 51
2.1 49 122 32 20
2.4 90 186 41 79
2.4 121 148 29 39
2.1 155 274 33 61
2.25 104 172 17 55
2.4 147 84 13 30
2.1 110 168 32 55
2.1 108 102 30 22
2.4 113 106 34 37
2.4 115 2 59 2
2.1 61 139 13 38
2.1 60 95 23 27
2.4 109 130 10 56
2.1 68 72 5 25
2.7 111 141 31 39
2.1 77 113 19 33
2.1 73 206 32 43
2.25 151 268 30 57
2.1 89 175 25 43
2.4 78 77 48 23
2.25 110 125 35 44
2.25 220 255 67 54
2.1 65 111 15 28
2.1 141 132 22 36
2.4 117 211 18 39
2.25 122 92 33 16
2.1 63 76 46 23
2.1 44 171 24 40
1.65 52 83 14 24
2.7 131 266 12 78
2.1 101 186 38 57
1.95 42 50 12 37
2.25 152 117 28 27
2.4 107 219 41 61
1.95 77 246 12 27
2.1 154 279 31 69
2.4 103 148 33 34
2.1 96 137 34 44
2.4 175 181 21 34
2.4 57 98 20 39
2.4 112 226 44 51
2.25 143 234 52 34
2.4 49 138 7 31
2.1 110 85 29 13
2.1 131 66 11 12
1.8 167 236 26 51
2.7 56 106 24 24
2.1 137 135 7 19
2.1 86 122 60 30
2.4 121 218 13 81
2.55 149 199 20 42
2.55 168 112 52 22
2.1 140 278 28 85
2.1 88 94 25 27
2.1 168 113 39 25
2.25 94 84 9 22
2.25 51 86 19 19
2.1 48 62 13 14
2.1 145 222 60 45
1.95 66 167 19 45
2.4 85 82 34 28
2.1 109 207 14 51
2.4 63 184 17 41
2.4 102 83 45 31
2.4 162 183 66 74
1.95 86 89 48 19
2.1 114 225 29 51
2.1 164 237 -2 73
2.55 119 102 51 24
2.1 126 221 2 61
2.1 132 128 24 23
2.1 142 91 40 14
1.95 83 198 20 54
2.25 94 204 19 51
2.4 81 158 16 62
1.95 166 138 20 36
2.1 110 226 40 59
2.1 64 44 27 24
1.95 93 196 25 26
2.1 104 83 49 54
2.1 105 79 39 39
1.95 49 52 61 16
2.1 88 105 19 36
1.95 95 116 67 31
2.4 102 83 45 31
2.4 99 196 30 42
2.4 63 153 8 39
1.95 76 157 19 25
2.7 109 75 52 31
2.1 117 106 22 38
1.95 57 58 17 31
2.1 120 75 33 17
1.95 73 74 34 22
2.1 91 185 22 55
2.25 108 265 30 62
2.7 105 131 25 51
2.1 117 139 38 30
2.4 119 196 26 49
1.35 31 78 13 16

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 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 & 8 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266997&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]8 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=266997&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266997&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Multiple Linear Regression - Estimated Regression Equation
PA[t] = + 1.99539 -0.00079745LFM[t] + 0.00103256Blogs[t] + 0.000727625PRH[t] + 0.00108586CH[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
PA[t] =  +  1.99539 -0.00079745LFM[t] +  0.00103256Blogs[t] +  0.000727625PRH[t] +  0.00108586CH[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266997&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]PA[t] =  +  1.99539 -0.00079745LFM[t] +  0.00103256Blogs[t] +  0.000727625PRH[t] +  0.00108586CH[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266997&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266997&T=1

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


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

Multiple Linear Regression - Estimated Regression Equation
PA[t] = + 1.99539 -0.00079745LFM[t] + 0.00103256Blogs[t] + 0.000727625PRH[t] + 0.00108586CH[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)1.995390.055771135.784.60444e-1052.30222e-105
LFM-0.000797450.000493865-1.6150.1075280.0537641
Blogs0.001032560.000298823.4550.0006367810.00031839
PRH0.0007276250.0009688970.7510.453310.226655
CH0.001085860.00117610.92330.3566840.178342

\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) & 1.99539 & 0.0557711 & 35.78 & 4.60444e-105 & 2.30222e-105 \tabularnewline
LFM & -0.00079745 & 0.000493865 & -1.615 & 0.107528 & 0.0537641 \tabularnewline
Blogs & 0.00103256 & 0.00029882 & 3.455 & 0.000636781 & 0.00031839 \tabularnewline
PRH & 0.000727625 & 0.000968897 & 0.751 & 0.45331 & 0.226655 \tabularnewline
CH & 0.00108586 & 0.0011761 & 0.9233 & 0.356684 & 0.178342 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266997&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]1.99539[/C][C]0.0557711[/C][C]35.78[/C][C]4.60444e-105[/C][C]2.30222e-105[/C][/ROW]
[ROW][C]LFM[/C][C]-0.00079745[/C][C]0.000493865[/C][C]-1.615[/C][C]0.107528[/C][C]0.0537641[/C][/ROW]
[ROW][C]Blogs[/C][C]0.00103256[/C][C]0.00029882[/C][C]3.455[/C][C]0.000636781[/C][C]0.00031839[/C][/ROW]
[ROW][C]PRH[/C][C]0.000727625[/C][C]0.000968897[/C][C]0.751[/C][C]0.45331[/C][C]0.226655[/C][/ROW]
[ROW][C]CH[/C][C]0.00108586[/C][C]0.0011761[/C][C]0.9233[/C][C]0.356684[/C][C]0.178342[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266997&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266997&T=2

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


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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)1.995390.055771135.784.60444e-1052.30222e-105
LFM-0.000797450.000493865-1.6150.1075280.0537641
Blogs0.001032560.000298823.4550.0006367810.00031839
PRH0.0007276250.0009688970.7510.453310.226655
CH0.001085860.00117610.92330.3566840.178342






Multiple Linear Regression - Regression Statistics
Multiple R0.284741
R-squared0.0810776
Adjusted R-squared0.0676136
F-TEST (value)6.02178
F-TEST (DF numerator)4
F-TEST (DF denominator)273
p-value0.000117263
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.278428
Sum Squared Residuals21.1636

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.284741 \tabularnewline
R-squared & 0.0810776 \tabularnewline
Adjusted R-squared & 0.0676136 \tabularnewline
F-TEST (value) & 6.02178 \tabularnewline
F-TEST (DF numerator) & 4 \tabularnewline
F-TEST (DF denominator) & 273 \tabularnewline
p-value & 0.000117263 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 0.278428 \tabularnewline
Sum Squared Residuals & 21.1636 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266997&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.284741[/C][/ROW]
[ROW][C]R-squared[/C][C]0.0810776[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.0676136[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]6.02178[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]4[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]273[/C][/ROW]
[ROW][C]p-value[/C][C]0.000117263[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]0.278428[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]21.1636[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266997&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266997&T=3

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


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

Multiple Linear Regression - Regression Statistics
Multiple R0.284741
R-squared0.0810776
Adjusted R-squared0.0676136
F-TEST (value)6.02178
F-TEST (DF numerator)4
F-TEST (DF denominator)273
p-value0.000117263
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.278428
Sum Squared Residuals21.1636






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
11.52.06264-0.562635
22.12.021730.0782678
32.12.031360.0686387
41.92.0879-0.187903
51.62.02296-0.422956
62.12.10371-0.00371139
72.12.07910.0208988
82.22.158050.041951
91.52.12073-0.620733
101.92.09681-0.196807
112.22.0590.141003
121.62.1501-0.550097
131.52.04023-0.54023
141.92.13554-0.235537
150.12.02438-1.92438
162.22.058010.141989
171.82.13332-0.333317
181.62.06087-0.460868
192.22.064530.135467
202.12.051240.0487636
211.91.99114-0.0911402
221.62.0903-0.4903
231.92.00289-0.102886
242.22.045460.154539
251.82.08506-0.285055
262.42.084660.31534
272.42.185010.214988
282.52.06460.435395
291.92.02471-0.124715
302.12.029940.07006
311.92.09554-0.195537
322.12.071890.0281104
331.52.0542-0.5542
341.92.15557-0.255567
352.12.11246-0.0124628
361.52.12286-0.622857
372.12.008480.0915236
382.12.059820.0401847
391.82.05565-0.255653
402.42.13250.267497
412.12.01120.0887977
421.92.11981-0.219808
432.12.035760.0642441
441.92.04293-0.142925
452.42.066020.333983
462.12.064090.0359101
472.22.118060.0819397
482.22.087960.112041
491.82.01235-0.21235
502.12.030860.0691402
512.42.066510.333491
522.22.091550.108445
532.12.053870.0461254
541.52.02559-0.525587
551.92.13232-0.232321
561.82.10838-0.308384
571.82.02525-0.225247
581.62.05404-0.454036
591.21.9952-0.795196
601.82.08739-0.287389
611.52.09046-0.590461
622.11.979480.120519
632.42.038030.361971
642.42.078620.321382
651.51.96288-0.462884
661.82.05224-0.252236
672.12.12865-0.0286519
682.22.098870.101133
692.12.021690.0783112
701.92.04335-0.143352
712.12.1044-0.00439845
721.92.01669-0.116688
731.62.08605-0.486052
742.42.100880.299116
751.92.09429-0.194293
762.12.11231-0.0123144
771.82.03748-0.237484
782.12.14799-0.0479943
792.42.076620.323382
802.12.07410.0258954
812.22.038070.161931
822.11.997160.102843
832.22.108690.0913106
841.61.98903-0.389026
852.42.030770.369229
862.12.10537-0.00537435
871.92.0594-0.159399
882.42.059230.340773
892.12.013690.0863141
901.81.99936-0.199355
912.12.035260.0647386
921.82.00899-0.208987
931.92.02375-0.12375
941.92.06035-0.160354
952.42.048380.351625
961.81.96585-0.165849
971.82.0528-0.252805
982.12.015070.0849335
992.12.034140.0658552
1002.42.036280.363717
1011.92.06903-0.169031
1021.82.05955-0.259553
1031.82.01642-0.216421
1042.22.01850.181497
1052.42.078860.321138
1061.82.02484-0.224836
1072.42.020850.379153
1081.82.02659-0.226594
1091.92.03939-0.139394
1102.42.030780.369221
1112.12.000740.0992637
1121.91.98797-0.0879678
1132.12.029220.0707833
1142.72.166780.533219
1152.12.12789-0.027891
1162.12.1343-0.0342992
1172.12.32423-0.22423
1182.11.998350.101648
1192.12.40566-0.305659
1202.12.22312-0.123119
1212.12.42837-0.32837
1222.12.022540.0774598
1232.42.26050.1395
1241.952.07998-0.12998
1252.12.19144-0.0914431
1262.12.11316-0.0131647
1271.952.14847-0.198465
1282.12.37254-0.272545
1292.42.264660.135345
1302.12.075370.0246345
1312.252.030650.219349
1322.42.322190.0778064
1332.252.125140.124859
1342.552.176260.373735
1351.952.10191-0.151908
1362.42.21590.184098
1372.12.10596-0.00595998
1382.12.1321-0.0321003
1392.42.276710.123287
1402.12.34581-0.245807
1412.12.05260.0474019
1422.251.977860.27214
1432.252.131050.118948
1442.42.212350.187647
1452.12.16053-0.0605292
1462.42.1740.225996
1472.12.099030.000968995
1482.12.13679-0.0367879
1492.252.25573-0.00573426
1502.252.158230.0917744
1512.42.113370.286635
1522.252.195450.0545504
1532.252.159170.0908345
1542.12.19869-0.0986915
1552.12.11346-0.0134611
1562.12.17151-0.0715127
1572.72.231290.468711
1582.12.16746-0.0674595
1592.12.31279-0.212792
1602.252.127790.122205
1612.72.139130.560872
1622.42.289460.110536
1632.12.10834-0.00834084
1642.12.11499-0.014989
1652.42.183540.216458
1661.952.07177-0.121771
1672.72.238810.461195
1682.11.992470.10753
1692.252.221910.0280944
1702.12.20191-0.101909
1712.72.211290.488705
1722.12.13498-0.0349818
1732.12.093940.00606117
1741.652.13981-0.489813
1751.652.13981-0.489813
1762.12.14976-0.0497645
1772.12.15359-0.0535878
1782.12.19211-0.092115
1792.12.083790.0162115
1802.12.12729-0.0272925
1812.42.23130.168705
1822.42.115170.284829
1832.12.24496-0.14496
1842.252.162150.0878485
1852.42.006940.393061
1862.12.16415-0.0641509
1872.12.060310.0396919
1882.42.079650.320351
1892.41.950850.449147
1902.12.141-0.0409972
1912.12.091690.00830636
1922.42.110790.289211
1932.12.04630.0537039
1942.72.117370.582627
1952.12.10033-0.00032778
1962.12.21986-0.119864
1972.252.235430.0145716
1982.12.17-0.0700017
1992.42.07260.327399
2002.252.109990.140011
2012.252.190650.0593545
2022.12.099490.000507724
2032.12.074350.0256499
2042.42.175410.224591
2052.252.034490.215514
2062.12.082070.0179255
2072.12.19777-0.0977715
2081.652.07588-0.425876
2092.72.259020.440982
2102.12.19645-0.0964516
2111.952.06244-0.112437
2122.252.044680.205317
2132.42.232270.167732
2141.952.22605-0.27605
2152.12.25815-0.158152
2162.42.127010.272994
2172.12.13282-0.0328166
2182.42.094930.305067
2192.42.108030.291969
2202.42.226830.173167
2212.252.197730.0522662
2222.42.137570.262433
2232.12.030660.0693408
2242.11.980110.119889
2251.82.1802-0.380201
2262.72.103710.596288
2272.12.051260.0487363
2282.12.12902-0.0290189
2292.42.221410.178585
2302.552.142210.407788
2312.552.038790.511206
2322.12.28347-0.183475
2332.12.069790.0302123
2342.12.033630.0663746
2352.252.037610.212394
2362.252.077980.17202
2372.12.04580.054204
2382.12.20151-0.101514
2391.952.17789-0.227888
2402.42.067420.332576
2412.12.18778-0.0877777
2422.42.192040.207964
2432.42.066160.333839
2442.42.183540.216458
2451.952.07427-0.124268
2462.12.21329-0.113291
2472.12.18714-0.0871417
2482.552.068990.481012
2492.12.1908-0.090804
2502.12.064740.035264
2512.12.020430.0795741
2521.952.20684-0.256842
2532.252.200280.0497201
2542.42.172910.22709
2551.952.05915-0.109154
2562.12.2342-0.134204
2572.12.03550.064504
2581.952.17004-0.220036
2592.12.092450.00754859
2602.12.063960.0360404
2611.952.07177-0.121771
2622.12.086550.0134471
2631.952.12183-0.171826
2642.42.066160.333839
2652.42.186260.213737
2662.42.151310.248694
2671.952.13787-0.187871
2682.72.057410.642588
2692.12.068810.031186
2701.952.05586-0.105859
2712.12.019610.080387
2721.952.06222-0.112218
2732.12.18958-0.0895798
2742.252.27205-0.0220503
2752.72.12050.579504
2762.12.10584-0.00584374
2772.42.1750.224995
2781.352.07805-0.728045

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 1.5 & 2.06264 & -0.562635 \tabularnewline
2 & 2.1 & 2.02173 & 0.0782678 \tabularnewline
3 & 2.1 & 2.03136 & 0.0686387 \tabularnewline
4 & 1.9 & 2.0879 & -0.187903 \tabularnewline
5 & 1.6 & 2.02296 & -0.422956 \tabularnewline
6 & 2.1 & 2.10371 & -0.00371139 \tabularnewline
7 & 2.1 & 2.0791 & 0.0208988 \tabularnewline
8 & 2.2 & 2.15805 & 0.041951 \tabularnewline
9 & 1.5 & 2.12073 & -0.620733 \tabularnewline
10 & 1.9 & 2.09681 & -0.196807 \tabularnewline
11 & 2.2 & 2.059 & 0.141003 \tabularnewline
12 & 1.6 & 2.1501 & -0.550097 \tabularnewline
13 & 1.5 & 2.04023 & -0.54023 \tabularnewline
14 & 1.9 & 2.13554 & -0.235537 \tabularnewline
15 & 0.1 & 2.02438 & -1.92438 \tabularnewline
16 & 2.2 & 2.05801 & 0.141989 \tabularnewline
17 & 1.8 & 2.13332 & -0.333317 \tabularnewline
18 & 1.6 & 2.06087 & -0.460868 \tabularnewline
19 & 2.2 & 2.06453 & 0.135467 \tabularnewline
20 & 2.1 & 2.05124 & 0.0487636 \tabularnewline
21 & 1.9 & 1.99114 & -0.0911402 \tabularnewline
22 & 1.6 & 2.0903 & -0.4903 \tabularnewline
23 & 1.9 & 2.00289 & -0.102886 \tabularnewline
24 & 2.2 & 2.04546 & 0.154539 \tabularnewline
25 & 1.8 & 2.08506 & -0.285055 \tabularnewline
26 & 2.4 & 2.08466 & 0.31534 \tabularnewline
27 & 2.4 & 2.18501 & 0.214988 \tabularnewline
28 & 2.5 & 2.0646 & 0.435395 \tabularnewline
29 & 1.9 & 2.02471 & -0.124715 \tabularnewline
30 & 2.1 & 2.02994 & 0.07006 \tabularnewline
31 & 1.9 & 2.09554 & -0.195537 \tabularnewline
32 & 2.1 & 2.07189 & 0.0281104 \tabularnewline
33 & 1.5 & 2.0542 & -0.5542 \tabularnewline
34 & 1.9 & 2.15557 & -0.255567 \tabularnewline
35 & 2.1 & 2.11246 & -0.0124628 \tabularnewline
36 & 1.5 & 2.12286 & -0.622857 \tabularnewline
37 & 2.1 & 2.00848 & 0.0915236 \tabularnewline
38 & 2.1 & 2.05982 & 0.0401847 \tabularnewline
39 & 1.8 & 2.05565 & -0.255653 \tabularnewline
40 & 2.4 & 2.1325 & 0.267497 \tabularnewline
41 & 2.1 & 2.0112 & 0.0887977 \tabularnewline
42 & 1.9 & 2.11981 & -0.219808 \tabularnewline
43 & 2.1 & 2.03576 & 0.0642441 \tabularnewline
44 & 1.9 & 2.04293 & -0.142925 \tabularnewline
45 & 2.4 & 2.06602 & 0.333983 \tabularnewline
46 & 2.1 & 2.06409 & 0.0359101 \tabularnewline
47 & 2.2 & 2.11806 & 0.0819397 \tabularnewline
48 & 2.2 & 2.08796 & 0.112041 \tabularnewline
49 & 1.8 & 2.01235 & -0.21235 \tabularnewline
50 & 2.1 & 2.03086 & 0.0691402 \tabularnewline
51 & 2.4 & 2.06651 & 0.333491 \tabularnewline
52 & 2.2 & 2.09155 & 0.108445 \tabularnewline
53 & 2.1 & 2.05387 & 0.0461254 \tabularnewline
54 & 1.5 & 2.02559 & -0.525587 \tabularnewline
55 & 1.9 & 2.13232 & -0.232321 \tabularnewline
56 & 1.8 & 2.10838 & -0.308384 \tabularnewline
57 & 1.8 & 2.02525 & -0.225247 \tabularnewline
58 & 1.6 & 2.05404 & -0.454036 \tabularnewline
59 & 1.2 & 1.9952 & -0.795196 \tabularnewline
60 & 1.8 & 2.08739 & -0.287389 \tabularnewline
61 & 1.5 & 2.09046 & -0.590461 \tabularnewline
62 & 2.1 & 1.97948 & 0.120519 \tabularnewline
63 & 2.4 & 2.03803 & 0.361971 \tabularnewline
64 & 2.4 & 2.07862 & 0.321382 \tabularnewline
65 & 1.5 & 1.96288 & -0.462884 \tabularnewline
66 & 1.8 & 2.05224 & -0.252236 \tabularnewline
67 & 2.1 & 2.12865 & -0.0286519 \tabularnewline
68 & 2.2 & 2.09887 & 0.101133 \tabularnewline
69 & 2.1 & 2.02169 & 0.0783112 \tabularnewline
70 & 1.9 & 2.04335 & -0.143352 \tabularnewline
71 & 2.1 & 2.1044 & -0.00439845 \tabularnewline
72 & 1.9 & 2.01669 & -0.116688 \tabularnewline
73 & 1.6 & 2.08605 & -0.486052 \tabularnewline
74 & 2.4 & 2.10088 & 0.299116 \tabularnewline
75 & 1.9 & 2.09429 & -0.194293 \tabularnewline
76 & 2.1 & 2.11231 & -0.0123144 \tabularnewline
77 & 1.8 & 2.03748 & -0.237484 \tabularnewline
78 & 2.1 & 2.14799 & -0.0479943 \tabularnewline
79 & 2.4 & 2.07662 & 0.323382 \tabularnewline
80 & 2.1 & 2.0741 & 0.0258954 \tabularnewline
81 & 2.2 & 2.03807 & 0.161931 \tabularnewline
82 & 2.1 & 1.99716 & 0.102843 \tabularnewline
83 & 2.2 & 2.10869 & 0.0913106 \tabularnewline
84 & 1.6 & 1.98903 & -0.389026 \tabularnewline
85 & 2.4 & 2.03077 & 0.369229 \tabularnewline
86 & 2.1 & 2.10537 & -0.00537435 \tabularnewline
87 & 1.9 & 2.0594 & -0.159399 \tabularnewline
88 & 2.4 & 2.05923 & 0.340773 \tabularnewline
89 & 2.1 & 2.01369 & 0.0863141 \tabularnewline
90 & 1.8 & 1.99936 & -0.199355 \tabularnewline
91 & 2.1 & 2.03526 & 0.0647386 \tabularnewline
92 & 1.8 & 2.00899 & -0.208987 \tabularnewline
93 & 1.9 & 2.02375 & -0.12375 \tabularnewline
94 & 1.9 & 2.06035 & -0.160354 \tabularnewline
95 & 2.4 & 2.04838 & 0.351625 \tabularnewline
96 & 1.8 & 1.96585 & -0.165849 \tabularnewline
97 & 1.8 & 2.0528 & -0.252805 \tabularnewline
98 & 2.1 & 2.01507 & 0.0849335 \tabularnewline
99 & 2.1 & 2.03414 & 0.0658552 \tabularnewline
100 & 2.4 & 2.03628 & 0.363717 \tabularnewline
101 & 1.9 & 2.06903 & -0.169031 \tabularnewline
102 & 1.8 & 2.05955 & -0.259553 \tabularnewline
103 & 1.8 & 2.01642 & -0.216421 \tabularnewline
104 & 2.2 & 2.0185 & 0.181497 \tabularnewline
105 & 2.4 & 2.07886 & 0.321138 \tabularnewline
106 & 1.8 & 2.02484 & -0.224836 \tabularnewline
107 & 2.4 & 2.02085 & 0.379153 \tabularnewline
108 & 1.8 & 2.02659 & -0.226594 \tabularnewline
109 & 1.9 & 2.03939 & -0.139394 \tabularnewline
110 & 2.4 & 2.03078 & 0.369221 \tabularnewline
111 & 2.1 & 2.00074 & 0.0992637 \tabularnewline
112 & 1.9 & 1.98797 & -0.0879678 \tabularnewline
113 & 2.1 & 2.02922 & 0.0707833 \tabularnewline
114 & 2.7 & 2.16678 & 0.533219 \tabularnewline
115 & 2.1 & 2.12789 & -0.027891 \tabularnewline
116 & 2.1 & 2.1343 & -0.0342992 \tabularnewline
117 & 2.1 & 2.32423 & -0.22423 \tabularnewline
118 & 2.1 & 1.99835 & 0.101648 \tabularnewline
119 & 2.1 & 2.40566 & -0.305659 \tabularnewline
120 & 2.1 & 2.22312 & -0.123119 \tabularnewline
121 & 2.1 & 2.42837 & -0.32837 \tabularnewline
122 & 2.1 & 2.02254 & 0.0774598 \tabularnewline
123 & 2.4 & 2.2605 & 0.1395 \tabularnewline
124 & 1.95 & 2.07998 & -0.12998 \tabularnewline
125 & 2.1 & 2.19144 & -0.0914431 \tabularnewline
126 & 2.1 & 2.11316 & -0.0131647 \tabularnewline
127 & 1.95 & 2.14847 & -0.198465 \tabularnewline
128 & 2.1 & 2.37254 & -0.272545 \tabularnewline
129 & 2.4 & 2.26466 & 0.135345 \tabularnewline
130 & 2.1 & 2.07537 & 0.0246345 \tabularnewline
131 & 2.25 & 2.03065 & 0.219349 \tabularnewline
132 & 2.4 & 2.32219 & 0.0778064 \tabularnewline
133 & 2.25 & 2.12514 & 0.124859 \tabularnewline
134 & 2.55 & 2.17626 & 0.373735 \tabularnewline
135 & 1.95 & 2.10191 & -0.151908 \tabularnewline
136 & 2.4 & 2.2159 & 0.184098 \tabularnewline
137 & 2.1 & 2.10596 & -0.00595998 \tabularnewline
138 & 2.1 & 2.1321 & -0.0321003 \tabularnewline
139 & 2.4 & 2.27671 & 0.123287 \tabularnewline
140 & 2.1 & 2.34581 & -0.245807 \tabularnewline
141 & 2.1 & 2.0526 & 0.0474019 \tabularnewline
142 & 2.25 & 1.97786 & 0.27214 \tabularnewline
143 & 2.25 & 2.13105 & 0.118948 \tabularnewline
144 & 2.4 & 2.21235 & 0.187647 \tabularnewline
145 & 2.1 & 2.16053 & -0.0605292 \tabularnewline
146 & 2.4 & 2.174 & 0.225996 \tabularnewline
147 & 2.1 & 2.09903 & 0.000968995 \tabularnewline
148 & 2.1 & 2.13679 & -0.0367879 \tabularnewline
149 & 2.25 & 2.25573 & -0.00573426 \tabularnewline
150 & 2.25 & 2.15823 & 0.0917744 \tabularnewline
151 & 2.4 & 2.11337 & 0.286635 \tabularnewline
152 & 2.25 & 2.19545 & 0.0545504 \tabularnewline
153 & 2.25 & 2.15917 & 0.0908345 \tabularnewline
154 & 2.1 & 2.19869 & -0.0986915 \tabularnewline
155 & 2.1 & 2.11346 & -0.0134611 \tabularnewline
156 & 2.1 & 2.17151 & -0.0715127 \tabularnewline
157 & 2.7 & 2.23129 & 0.468711 \tabularnewline
158 & 2.1 & 2.16746 & -0.0674595 \tabularnewline
159 & 2.1 & 2.31279 & -0.212792 \tabularnewline
160 & 2.25 & 2.12779 & 0.122205 \tabularnewline
161 & 2.7 & 2.13913 & 0.560872 \tabularnewline
162 & 2.4 & 2.28946 & 0.110536 \tabularnewline
163 & 2.1 & 2.10834 & -0.00834084 \tabularnewline
164 & 2.1 & 2.11499 & -0.014989 \tabularnewline
165 & 2.4 & 2.18354 & 0.216458 \tabularnewline
166 & 1.95 & 2.07177 & -0.121771 \tabularnewline
167 & 2.7 & 2.23881 & 0.461195 \tabularnewline
168 & 2.1 & 1.99247 & 0.10753 \tabularnewline
169 & 2.25 & 2.22191 & 0.0280944 \tabularnewline
170 & 2.1 & 2.20191 & -0.101909 \tabularnewline
171 & 2.7 & 2.21129 & 0.488705 \tabularnewline
172 & 2.1 & 2.13498 & -0.0349818 \tabularnewline
173 & 2.1 & 2.09394 & 0.00606117 \tabularnewline
174 & 1.65 & 2.13981 & -0.489813 \tabularnewline
175 & 1.65 & 2.13981 & -0.489813 \tabularnewline
176 & 2.1 & 2.14976 & -0.0497645 \tabularnewline
177 & 2.1 & 2.15359 & -0.0535878 \tabularnewline
178 & 2.1 & 2.19211 & -0.092115 \tabularnewline
179 & 2.1 & 2.08379 & 0.0162115 \tabularnewline
180 & 2.1 & 2.12729 & -0.0272925 \tabularnewline
181 & 2.4 & 2.2313 & 0.168705 \tabularnewline
182 & 2.4 & 2.11517 & 0.284829 \tabularnewline
183 & 2.1 & 2.24496 & -0.14496 \tabularnewline
184 & 2.25 & 2.16215 & 0.0878485 \tabularnewline
185 & 2.4 & 2.00694 & 0.393061 \tabularnewline
186 & 2.1 & 2.16415 & -0.0641509 \tabularnewline
187 & 2.1 & 2.06031 & 0.0396919 \tabularnewline
188 & 2.4 & 2.07965 & 0.320351 \tabularnewline
189 & 2.4 & 1.95085 & 0.449147 \tabularnewline
190 & 2.1 & 2.141 & -0.0409972 \tabularnewline
191 & 2.1 & 2.09169 & 0.00830636 \tabularnewline
192 & 2.4 & 2.11079 & 0.289211 \tabularnewline
193 & 2.1 & 2.0463 & 0.0537039 \tabularnewline
194 & 2.7 & 2.11737 & 0.582627 \tabularnewline
195 & 2.1 & 2.10033 & -0.00032778 \tabularnewline
196 & 2.1 & 2.21986 & -0.119864 \tabularnewline
197 & 2.25 & 2.23543 & 0.0145716 \tabularnewline
198 & 2.1 & 2.17 & -0.0700017 \tabularnewline
199 & 2.4 & 2.0726 & 0.327399 \tabularnewline
200 & 2.25 & 2.10999 & 0.140011 \tabularnewline
201 & 2.25 & 2.19065 & 0.0593545 \tabularnewline
202 & 2.1 & 2.09949 & 0.000507724 \tabularnewline
203 & 2.1 & 2.07435 & 0.0256499 \tabularnewline
204 & 2.4 & 2.17541 & 0.224591 \tabularnewline
205 & 2.25 & 2.03449 & 0.215514 \tabularnewline
206 & 2.1 & 2.08207 & 0.0179255 \tabularnewline
207 & 2.1 & 2.19777 & -0.0977715 \tabularnewline
208 & 1.65 & 2.07588 & -0.425876 \tabularnewline
209 & 2.7 & 2.25902 & 0.440982 \tabularnewline
210 & 2.1 & 2.19645 & -0.0964516 \tabularnewline
211 & 1.95 & 2.06244 & -0.112437 \tabularnewline
212 & 2.25 & 2.04468 & 0.205317 \tabularnewline
213 & 2.4 & 2.23227 & 0.167732 \tabularnewline
214 & 1.95 & 2.22605 & -0.27605 \tabularnewline
215 & 2.1 & 2.25815 & -0.158152 \tabularnewline
216 & 2.4 & 2.12701 & 0.272994 \tabularnewline
217 & 2.1 & 2.13282 & -0.0328166 \tabularnewline
218 & 2.4 & 2.09493 & 0.305067 \tabularnewline
219 & 2.4 & 2.10803 & 0.291969 \tabularnewline
220 & 2.4 & 2.22683 & 0.173167 \tabularnewline
221 & 2.25 & 2.19773 & 0.0522662 \tabularnewline
222 & 2.4 & 2.13757 & 0.262433 \tabularnewline
223 & 2.1 & 2.03066 & 0.0693408 \tabularnewline
224 & 2.1 & 1.98011 & 0.119889 \tabularnewline
225 & 1.8 & 2.1802 & -0.380201 \tabularnewline
226 & 2.7 & 2.10371 & 0.596288 \tabularnewline
227 & 2.1 & 2.05126 & 0.0487363 \tabularnewline
228 & 2.1 & 2.12902 & -0.0290189 \tabularnewline
229 & 2.4 & 2.22141 & 0.178585 \tabularnewline
230 & 2.55 & 2.14221 & 0.407788 \tabularnewline
231 & 2.55 & 2.03879 & 0.511206 \tabularnewline
232 & 2.1 & 2.28347 & -0.183475 \tabularnewline
233 & 2.1 & 2.06979 & 0.0302123 \tabularnewline
234 & 2.1 & 2.03363 & 0.0663746 \tabularnewline
235 & 2.25 & 2.03761 & 0.212394 \tabularnewline
236 & 2.25 & 2.07798 & 0.17202 \tabularnewline
237 & 2.1 & 2.0458 & 0.054204 \tabularnewline
238 & 2.1 & 2.20151 & -0.101514 \tabularnewline
239 & 1.95 & 2.17789 & -0.227888 \tabularnewline
240 & 2.4 & 2.06742 & 0.332576 \tabularnewline
241 & 2.1 & 2.18778 & -0.0877777 \tabularnewline
242 & 2.4 & 2.19204 & 0.207964 \tabularnewline
243 & 2.4 & 2.06616 & 0.333839 \tabularnewline
244 & 2.4 & 2.18354 & 0.216458 \tabularnewline
245 & 1.95 & 2.07427 & -0.124268 \tabularnewline
246 & 2.1 & 2.21329 & -0.113291 \tabularnewline
247 & 2.1 & 2.18714 & -0.0871417 \tabularnewline
248 & 2.55 & 2.06899 & 0.481012 \tabularnewline
249 & 2.1 & 2.1908 & -0.090804 \tabularnewline
250 & 2.1 & 2.06474 & 0.035264 \tabularnewline
251 & 2.1 & 2.02043 & 0.0795741 \tabularnewline
252 & 1.95 & 2.20684 & -0.256842 \tabularnewline
253 & 2.25 & 2.20028 & 0.0497201 \tabularnewline
254 & 2.4 & 2.17291 & 0.22709 \tabularnewline
255 & 1.95 & 2.05915 & -0.109154 \tabularnewline
256 & 2.1 & 2.2342 & -0.134204 \tabularnewline
257 & 2.1 & 2.0355 & 0.064504 \tabularnewline
258 & 1.95 & 2.17004 & -0.220036 \tabularnewline
259 & 2.1 & 2.09245 & 0.00754859 \tabularnewline
260 & 2.1 & 2.06396 & 0.0360404 \tabularnewline
261 & 1.95 & 2.07177 & -0.121771 \tabularnewline
262 & 2.1 & 2.08655 & 0.0134471 \tabularnewline
263 & 1.95 & 2.12183 & -0.171826 \tabularnewline
264 & 2.4 & 2.06616 & 0.333839 \tabularnewline
265 & 2.4 & 2.18626 & 0.213737 \tabularnewline
266 & 2.4 & 2.15131 & 0.248694 \tabularnewline
267 & 1.95 & 2.13787 & -0.187871 \tabularnewline
268 & 2.7 & 2.05741 & 0.642588 \tabularnewline
269 & 2.1 & 2.06881 & 0.031186 \tabularnewline
270 & 1.95 & 2.05586 & -0.105859 \tabularnewline
271 & 2.1 & 2.01961 & 0.080387 \tabularnewline
272 & 1.95 & 2.06222 & -0.112218 \tabularnewline
273 & 2.1 & 2.18958 & -0.0895798 \tabularnewline
274 & 2.25 & 2.27205 & -0.0220503 \tabularnewline
275 & 2.7 & 2.1205 & 0.579504 \tabularnewline
276 & 2.1 & 2.10584 & -0.00584374 \tabularnewline
277 & 2.4 & 2.175 & 0.224995 \tabularnewline
278 & 1.35 & 2.07805 & -0.728045 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266997&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]1.5[/C][C]2.06264[/C][C]-0.562635[/C][/ROW]
[ROW][C]2[/C][C]2.1[/C][C]2.02173[/C][C]0.0782678[/C][/ROW]
[ROW][C]3[/C][C]2.1[/C][C]2.03136[/C][C]0.0686387[/C][/ROW]
[ROW][C]4[/C][C]1.9[/C][C]2.0879[/C][C]-0.187903[/C][/ROW]
[ROW][C]5[/C][C]1.6[/C][C]2.02296[/C][C]-0.422956[/C][/ROW]
[ROW][C]6[/C][C]2.1[/C][C]2.10371[/C][C]-0.00371139[/C][/ROW]
[ROW][C]7[/C][C]2.1[/C][C]2.0791[/C][C]0.0208988[/C][/ROW]
[ROW][C]8[/C][C]2.2[/C][C]2.15805[/C][C]0.041951[/C][/ROW]
[ROW][C]9[/C][C]1.5[/C][C]2.12073[/C][C]-0.620733[/C][/ROW]
[ROW][C]10[/C][C]1.9[/C][C]2.09681[/C][C]-0.196807[/C][/ROW]
[ROW][C]11[/C][C]2.2[/C][C]2.059[/C][C]0.141003[/C][/ROW]
[ROW][C]12[/C][C]1.6[/C][C]2.1501[/C][C]-0.550097[/C][/ROW]
[ROW][C]13[/C][C]1.5[/C][C]2.04023[/C][C]-0.54023[/C][/ROW]
[ROW][C]14[/C][C]1.9[/C][C]2.13554[/C][C]-0.235537[/C][/ROW]
[ROW][C]15[/C][C]0.1[/C][C]2.02438[/C][C]-1.92438[/C][/ROW]
[ROW][C]16[/C][C]2.2[/C][C]2.05801[/C][C]0.141989[/C][/ROW]
[ROW][C]17[/C][C]1.8[/C][C]2.13332[/C][C]-0.333317[/C][/ROW]
[ROW][C]18[/C][C]1.6[/C][C]2.06087[/C][C]-0.460868[/C][/ROW]
[ROW][C]19[/C][C]2.2[/C][C]2.06453[/C][C]0.135467[/C][/ROW]
[ROW][C]20[/C][C]2.1[/C][C]2.05124[/C][C]0.0487636[/C][/ROW]
[ROW][C]21[/C][C]1.9[/C][C]1.99114[/C][C]-0.0911402[/C][/ROW]
[ROW][C]22[/C][C]1.6[/C][C]2.0903[/C][C]-0.4903[/C][/ROW]
[ROW][C]23[/C][C]1.9[/C][C]2.00289[/C][C]-0.102886[/C][/ROW]
[ROW][C]24[/C][C]2.2[/C][C]2.04546[/C][C]0.154539[/C][/ROW]
[ROW][C]25[/C][C]1.8[/C][C]2.08506[/C][C]-0.285055[/C][/ROW]
[ROW][C]26[/C][C]2.4[/C][C]2.08466[/C][C]0.31534[/C][/ROW]
[ROW][C]27[/C][C]2.4[/C][C]2.18501[/C][C]0.214988[/C][/ROW]
[ROW][C]28[/C][C]2.5[/C][C]2.0646[/C][C]0.435395[/C][/ROW]
[ROW][C]29[/C][C]1.9[/C][C]2.02471[/C][C]-0.124715[/C][/ROW]
[ROW][C]30[/C][C]2.1[/C][C]2.02994[/C][C]0.07006[/C][/ROW]
[ROW][C]31[/C][C]1.9[/C][C]2.09554[/C][C]-0.195537[/C][/ROW]
[ROW][C]32[/C][C]2.1[/C][C]2.07189[/C][C]0.0281104[/C][/ROW]
[ROW][C]33[/C][C]1.5[/C][C]2.0542[/C][C]-0.5542[/C][/ROW]
[ROW][C]34[/C][C]1.9[/C][C]2.15557[/C][C]-0.255567[/C][/ROW]
[ROW][C]35[/C][C]2.1[/C][C]2.11246[/C][C]-0.0124628[/C][/ROW]
[ROW][C]36[/C][C]1.5[/C][C]2.12286[/C][C]-0.622857[/C][/ROW]
[ROW][C]37[/C][C]2.1[/C][C]2.00848[/C][C]0.0915236[/C][/ROW]
[ROW][C]38[/C][C]2.1[/C][C]2.05982[/C][C]0.0401847[/C][/ROW]
[ROW][C]39[/C][C]1.8[/C][C]2.05565[/C][C]-0.255653[/C][/ROW]
[ROW][C]40[/C][C]2.4[/C][C]2.1325[/C][C]0.267497[/C][/ROW]
[ROW][C]41[/C][C]2.1[/C][C]2.0112[/C][C]0.0887977[/C][/ROW]
[ROW][C]42[/C][C]1.9[/C][C]2.11981[/C][C]-0.219808[/C][/ROW]
[ROW][C]43[/C][C]2.1[/C][C]2.03576[/C][C]0.0642441[/C][/ROW]
[ROW][C]44[/C][C]1.9[/C][C]2.04293[/C][C]-0.142925[/C][/ROW]
[ROW][C]45[/C][C]2.4[/C][C]2.06602[/C][C]0.333983[/C][/ROW]
[ROW][C]46[/C][C]2.1[/C][C]2.06409[/C][C]0.0359101[/C][/ROW]
[ROW][C]47[/C][C]2.2[/C][C]2.11806[/C][C]0.0819397[/C][/ROW]
[ROW][C]48[/C][C]2.2[/C][C]2.08796[/C][C]0.112041[/C][/ROW]
[ROW][C]49[/C][C]1.8[/C][C]2.01235[/C][C]-0.21235[/C][/ROW]
[ROW][C]50[/C][C]2.1[/C][C]2.03086[/C][C]0.0691402[/C][/ROW]
[ROW][C]51[/C][C]2.4[/C][C]2.06651[/C][C]0.333491[/C][/ROW]
[ROW][C]52[/C][C]2.2[/C][C]2.09155[/C][C]0.108445[/C][/ROW]
[ROW][C]53[/C][C]2.1[/C][C]2.05387[/C][C]0.0461254[/C][/ROW]
[ROW][C]54[/C][C]1.5[/C][C]2.02559[/C][C]-0.525587[/C][/ROW]
[ROW][C]55[/C][C]1.9[/C][C]2.13232[/C][C]-0.232321[/C][/ROW]
[ROW][C]56[/C][C]1.8[/C][C]2.10838[/C][C]-0.308384[/C][/ROW]
[ROW][C]57[/C][C]1.8[/C][C]2.02525[/C][C]-0.225247[/C][/ROW]
[ROW][C]58[/C][C]1.6[/C][C]2.05404[/C][C]-0.454036[/C][/ROW]
[ROW][C]59[/C][C]1.2[/C][C]1.9952[/C][C]-0.795196[/C][/ROW]
[ROW][C]60[/C][C]1.8[/C][C]2.08739[/C][C]-0.287389[/C][/ROW]
[ROW][C]61[/C][C]1.5[/C][C]2.09046[/C][C]-0.590461[/C][/ROW]
[ROW][C]62[/C][C]2.1[/C][C]1.97948[/C][C]0.120519[/C][/ROW]
[ROW][C]63[/C][C]2.4[/C][C]2.03803[/C][C]0.361971[/C][/ROW]
[ROW][C]64[/C][C]2.4[/C][C]2.07862[/C][C]0.321382[/C][/ROW]
[ROW][C]65[/C][C]1.5[/C][C]1.96288[/C][C]-0.462884[/C][/ROW]
[ROW][C]66[/C][C]1.8[/C][C]2.05224[/C][C]-0.252236[/C][/ROW]
[ROW][C]67[/C][C]2.1[/C][C]2.12865[/C][C]-0.0286519[/C][/ROW]
[ROW][C]68[/C][C]2.2[/C][C]2.09887[/C][C]0.101133[/C][/ROW]
[ROW][C]69[/C][C]2.1[/C][C]2.02169[/C][C]0.0783112[/C][/ROW]
[ROW][C]70[/C][C]1.9[/C][C]2.04335[/C][C]-0.143352[/C][/ROW]
[ROW][C]71[/C][C]2.1[/C][C]2.1044[/C][C]-0.00439845[/C][/ROW]
[ROW][C]72[/C][C]1.9[/C][C]2.01669[/C][C]-0.116688[/C][/ROW]
[ROW][C]73[/C][C]1.6[/C][C]2.08605[/C][C]-0.486052[/C][/ROW]
[ROW][C]74[/C][C]2.4[/C][C]2.10088[/C][C]0.299116[/C][/ROW]
[ROW][C]75[/C][C]1.9[/C][C]2.09429[/C][C]-0.194293[/C][/ROW]
[ROW][C]76[/C][C]2.1[/C][C]2.11231[/C][C]-0.0123144[/C][/ROW]
[ROW][C]77[/C][C]1.8[/C][C]2.03748[/C][C]-0.237484[/C][/ROW]
[ROW][C]78[/C][C]2.1[/C][C]2.14799[/C][C]-0.0479943[/C][/ROW]
[ROW][C]79[/C][C]2.4[/C][C]2.07662[/C][C]0.323382[/C][/ROW]
[ROW][C]80[/C][C]2.1[/C][C]2.0741[/C][C]0.0258954[/C][/ROW]
[ROW][C]81[/C][C]2.2[/C][C]2.03807[/C][C]0.161931[/C][/ROW]
[ROW][C]82[/C][C]2.1[/C][C]1.99716[/C][C]0.102843[/C][/ROW]
[ROW][C]83[/C][C]2.2[/C][C]2.10869[/C][C]0.0913106[/C][/ROW]
[ROW][C]84[/C][C]1.6[/C][C]1.98903[/C][C]-0.389026[/C][/ROW]
[ROW][C]85[/C][C]2.4[/C][C]2.03077[/C][C]0.369229[/C][/ROW]
[ROW][C]86[/C][C]2.1[/C][C]2.10537[/C][C]-0.00537435[/C][/ROW]
[ROW][C]87[/C][C]1.9[/C][C]2.0594[/C][C]-0.159399[/C][/ROW]
[ROW][C]88[/C][C]2.4[/C][C]2.05923[/C][C]0.340773[/C][/ROW]
[ROW][C]89[/C][C]2.1[/C][C]2.01369[/C][C]0.0863141[/C][/ROW]
[ROW][C]90[/C][C]1.8[/C][C]1.99936[/C][C]-0.199355[/C][/ROW]
[ROW][C]91[/C][C]2.1[/C][C]2.03526[/C][C]0.0647386[/C][/ROW]
[ROW][C]92[/C][C]1.8[/C][C]2.00899[/C][C]-0.208987[/C][/ROW]
[ROW][C]93[/C][C]1.9[/C][C]2.02375[/C][C]-0.12375[/C][/ROW]
[ROW][C]94[/C][C]1.9[/C][C]2.06035[/C][C]-0.160354[/C][/ROW]
[ROW][C]95[/C][C]2.4[/C][C]2.04838[/C][C]0.351625[/C][/ROW]
[ROW][C]96[/C][C]1.8[/C][C]1.96585[/C][C]-0.165849[/C][/ROW]
[ROW][C]97[/C][C]1.8[/C][C]2.0528[/C][C]-0.252805[/C][/ROW]
[ROW][C]98[/C][C]2.1[/C][C]2.01507[/C][C]0.0849335[/C][/ROW]
[ROW][C]99[/C][C]2.1[/C][C]2.03414[/C][C]0.0658552[/C][/ROW]
[ROW][C]100[/C][C]2.4[/C][C]2.03628[/C][C]0.363717[/C][/ROW]
[ROW][C]101[/C][C]1.9[/C][C]2.06903[/C][C]-0.169031[/C][/ROW]
[ROW][C]102[/C][C]1.8[/C][C]2.05955[/C][C]-0.259553[/C][/ROW]
[ROW][C]103[/C][C]1.8[/C][C]2.01642[/C][C]-0.216421[/C][/ROW]
[ROW][C]104[/C][C]2.2[/C][C]2.0185[/C][C]0.181497[/C][/ROW]
[ROW][C]105[/C][C]2.4[/C][C]2.07886[/C][C]0.321138[/C][/ROW]
[ROW][C]106[/C][C]1.8[/C][C]2.02484[/C][C]-0.224836[/C][/ROW]
[ROW][C]107[/C][C]2.4[/C][C]2.02085[/C][C]0.379153[/C][/ROW]
[ROW][C]108[/C][C]1.8[/C][C]2.02659[/C][C]-0.226594[/C][/ROW]
[ROW][C]109[/C][C]1.9[/C][C]2.03939[/C][C]-0.139394[/C][/ROW]
[ROW][C]110[/C][C]2.4[/C][C]2.03078[/C][C]0.369221[/C][/ROW]
[ROW][C]111[/C][C]2.1[/C][C]2.00074[/C][C]0.0992637[/C][/ROW]
[ROW][C]112[/C][C]1.9[/C][C]1.98797[/C][C]-0.0879678[/C][/ROW]
[ROW][C]113[/C][C]2.1[/C][C]2.02922[/C][C]0.0707833[/C][/ROW]
[ROW][C]114[/C][C]2.7[/C][C]2.16678[/C][C]0.533219[/C][/ROW]
[ROW][C]115[/C][C]2.1[/C][C]2.12789[/C][C]-0.027891[/C][/ROW]
[ROW][C]116[/C][C]2.1[/C][C]2.1343[/C][C]-0.0342992[/C][/ROW]
[ROW][C]117[/C][C]2.1[/C][C]2.32423[/C][C]-0.22423[/C][/ROW]
[ROW][C]118[/C][C]2.1[/C][C]1.99835[/C][C]0.101648[/C][/ROW]
[ROW][C]119[/C][C]2.1[/C][C]2.40566[/C][C]-0.305659[/C][/ROW]
[ROW][C]120[/C][C]2.1[/C][C]2.22312[/C][C]-0.123119[/C][/ROW]
[ROW][C]121[/C][C]2.1[/C][C]2.42837[/C][C]-0.32837[/C][/ROW]
[ROW][C]122[/C][C]2.1[/C][C]2.02254[/C][C]0.0774598[/C][/ROW]
[ROW][C]123[/C][C]2.4[/C][C]2.2605[/C][C]0.1395[/C][/ROW]
[ROW][C]124[/C][C]1.95[/C][C]2.07998[/C][C]-0.12998[/C][/ROW]
[ROW][C]125[/C][C]2.1[/C][C]2.19144[/C][C]-0.0914431[/C][/ROW]
[ROW][C]126[/C][C]2.1[/C][C]2.11316[/C][C]-0.0131647[/C][/ROW]
[ROW][C]127[/C][C]1.95[/C][C]2.14847[/C][C]-0.198465[/C][/ROW]
[ROW][C]128[/C][C]2.1[/C][C]2.37254[/C][C]-0.272545[/C][/ROW]
[ROW][C]129[/C][C]2.4[/C][C]2.26466[/C][C]0.135345[/C][/ROW]
[ROW][C]130[/C][C]2.1[/C][C]2.07537[/C][C]0.0246345[/C][/ROW]
[ROW][C]131[/C][C]2.25[/C][C]2.03065[/C][C]0.219349[/C][/ROW]
[ROW][C]132[/C][C]2.4[/C][C]2.32219[/C][C]0.0778064[/C][/ROW]
[ROW][C]133[/C][C]2.25[/C][C]2.12514[/C][C]0.124859[/C][/ROW]
[ROW][C]134[/C][C]2.55[/C][C]2.17626[/C][C]0.373735[/C][/ROW]
[ROW][C]135[/C][C]1.95[/C][C]2.10191[/C][C]-0.151908[/C][/ROW]
[ROW][C]136[/C][C]2.4[/C][C]2.2159[/C][C]0.184098[/C][/ROW]
[ROW][C]137[/C][C]2.1[/C][C]2.10596[/C][C]-0.00595998[/C][/ROW]
[ROW][C]138[/C][C]2.1[/C][C]2.1321[/C][C]-0.0321003[/C][/ROW]
[ROW][C]139[/C][C]2.4[/C][C]2.27671[/C][C]0.123287[/C][/ROW]
[ROW][C]140[/C][C]2.1[/C][C]2.34581[/C][C]-0.245807[/C][/ROW]
[ROW][C]141[/C][C]2.1[/C][C]2.0526[/C][C]0.0474019[/C][/ROW]
[ROW][C]142[/C][C]2.25[/C][C]1.97786[/C][C]0.27214[/C][/ROW]
[ROW][C]143[/C][C]2.25[/C][C]2.13105[/C][C]0.118948[/C][/ROW]
[ROW][C]144[/C][C]2.4[/C][C]2.21235[/C][C]0.187647[/C][/ROW]
[ROW][C]145[/C][C]2.1[/C][C]2.16053[/C][C]-0.0605292[/C][/ROW]
[ROW][C]146[/C][C]2.4[/C][C]2.174[/C][C]0.225996[/C][/ROW]
[ROW][C]147[/C][C]2.1[/C][C]2.09903[/C][C]0.000968995[/C][/ROW]
[ROW][C]148[/C][C]2.1[/C][C]2.13679[/C][C]-0.0367879[/C][/ROW]
[ROW][C]149[/C][C]2.25[/C][C]2.25573[/C][C]-0.00573426[/C][/ROW]
[ROW][C]150[/C][C]2.25[/C][C]2.15823[/C][C]0.0917744[/C][/ROW]
[ROW][C]151[/C][C]2.4[/C][C]2.11337[/C][C]0.286635[/C][/ROW]
[ROW][C]152[/C][C]2.25[/C][C]2.19545[/C][C]0.0545504[/C][/ROW]
[ROW][C]153[/C][C]2.25[/C][C]2.15917[/C][C]0.0908345[/C][/ROW]
[ROW][C]154[/C][C]2.1[/C][C]2.19869[/C][C]-0.0986915[/C][/ROW]
[ROW][C]155[/C][C]2.1[/C][C]2.11346[/C][C]-0.0134611[/C][/ROW]
[ROW][C]156[/C][C]2.1[/C][C]2.17151[/C][C]-0.0715127[/C][/ROW]
[ROW][C]157[/C][C]2.7[/C][C]2.23129[/C][C]0.468711[/C][/ROW]
[ROW][C]158[/C][C]2.1[/C][C]2.16746[/C][C]-0.0674595[/C][/ROW]
[ROW][C]159[/C][C]2.1[/C][C]2.31279[/C][C]-0.212792[/C][/ROW]
[ROW][C]160[/C][C]2.25[/C][C]2.12779[/C][C]0.122205[/C][/ROW]
[ROW][C]161[/C][C]2.7[/C][C]2.13913[/C][C]0.560872[/C][/ROW]
[ROW][C]162[/C][C]2.4[/C][C]2.28946[/C][C]0.110536[/C][/ROW]
[ROW][C]163[/C][C]2.1[/C][C]2.10834[/C][C]-0.00834084[/C][/ROW]
[ROW][C]164[/C][C]2.1[/C][C]2.11499[/C][C]-0.014989[/C][/ROW]
[ROW][C]165[/C][C]2.4[/C][C]2.18354[/C][C]0.216458[/C][/ROW]
[ROW][C]166[/C][C]1.95[/C][C]2.07177[/C][C]-0.121771[/C][/ROW]
[ROW][C]167[/C][C]2.7[/C][C]2.23881[/C][C]0.461195[/C][/ROW]
[ROW][C]168[/C][C]2.1[/C][C]1.99247[/C][C]0.10753[/C][/ROW]
[ROW][C]169[/C][C]2.25[/C][C]2.22191[/C][C]0.0280944[/C][/ROW]
[ROW][C]170[/C][C]2.1[/C][C]2.20191[/C][C]-0.101909[/C][/ROW]
[ROW][C]171[/C][C]2.7[/C][C]2.21129[/C][C]0.488705[/C][/ROW]
[ROW][C]172[/C][C]2.1[/C][C]2.13498[/C][C]-0.0349818[/C][/ROW]
[ROW][C]173[/C][C]2.1[/C][C]2.09394[/C][C]0.00606117[/C][/ROW]
[ROW][C]174[/C][C]1.65[/C][C]2.13981[/C][C]-0.489813[/C][/ROW]
[ROW][C]175[/C][C]1.65[/C][C]2.13981[/C][C]-0.489813[/C][/ROW]
[ROW][C]176[/C][C]2.1[/C][C]2.14976[/C][C]-0.0497645[/C][/ROW]
[ROW][C]177[/C][C]2.1[/C][C]2.15359[/C][C]-0.0535878[/C][/ROW]
[ROW][C]178[/C][C]2.1[/C][C]2.19211[/C][C]-0.092115[/C][/ROW]
[ROW][C]179[/C][C]2.1[/C][C]2.08379[/C][C]0.0162115[/C][/ROW]
[ROW][C]180[/C][C]2.1[/C][C]2.12729[/C][C]-0.0272925[/C][/ROW]
[ROW][C]181[/C][C]2.4[/C][C]2.2313[/C][C]0.168705[/C][/ROW]
[ROW][C]182[/C][C]2.4[/C][C]2.11517[/C][C]0.284829[/C][/ROW]
[ROW][C]183[/C][C]2.1[/C][C]2.24496[/C][C]-0.14496[/C][/ROW]
[ROW][C]184[/C][C]2.25[/C][C]2.16215[/C][C]0.0878485[/C][/ROW]
[ROW][C]185[/C][C]2.4[/C][C]2.00694[/C][C]0.393061[/C][/ROW]
[ROW][C]186[/C][C]2.1[/C][C]2.16415[/C][C]-0.0641509[/C][/ROW]
[ROW][C]187[/C][C]2.1[/C][C]2.06031[/C][C]0.0396919[/C][/ROW]
[ROW][C]188[/C][C]2.4[/C][C]2.07965[/C][C]0.320351[/C][/ROW]
[ROW][C]189[/C][C]2.4[/C][C]1.95085[/C][C]0.449147[/C][/ROW]
[ROW][C]190[/C][C]2.1[/C][C]2.141[/C][C]-0.0409972[/C][/ROW]
[ROW][C]191[/C][C]2.1[/C][C]2.09169[/C][C]0.00830636[/C][/ROW]
[ROW][C]192[/C][C]2.4[/C][C]2.11079[/C][C]0.289211[/C][/ROW]
[ROW][C]193[/C][C]2.1[/C][C]2.0463[/C][C]0.0537039[/C][/ROW]
[ROW][C]194[/C][C]2.7[/C][C]2.11737[/C][C]0.582627[/C][/ROW]
[ROW][C]195[/C][C]2.1[/C][C]2.10033[/C][C]-0.00032778[/C][/ROW]
[ROW][C]196[/C][C]2.1[/C][C]2.21986[/C][C]-0.119864[/C][/ROW]
[ROW][C]197[/C][C]2.25[/C][C]2.23543[/C][C]0.0145716[/C][/ROW]
[ROW][C]198[/C][C]2.1[/C][C]2.17[/C][C]-0.0700017[/C][/ROW]
[ROW][C]199[/C][C]2.4[/C][C]2.0726[/C][C]0.327399[/C][/ROW]
[ROW][C]200[/C][C]2.25[/C][C]2.10999[/C][C]0.140011[/C][/ROW]
[ROW][C]201[/C][C]2.25[/C][C]2.19065[/C][C]0.0593545[/C][/ROW]
[ROW][C]202[/C][C]2.1[/C][C]2.09949[/C][C]0.000507724[/C][/ROW]
[ROW][C]203[/C][C]2.1[/C][C]2.07435[/C][C]0.0256499[/C][/ROW]
[ROW][C]204[/C][C]2.4[/C][C]2.17541[/C][C]0.224591[/C][/ROW]
[ROW][C]205[/C][C]2.25[/C][C]2.03449[/C][C]0.215514[/C][/ROW]
[ROW][C]206[/C][C]2.1[/C][C]2.08207[/C][C]0.0179255[/C][/ROW]
[ROW][C]207[/C][C]2.1[/C][C]2.19777[/C][C]-0.0977715[/C][/ROW]
[ROW][C]208[/C][C]1.65[/C][C]2.07588[/C][C]-0.425876[/C][/ROW]
[ROW][C]209[/C][C]2.7[/C][C]2.25902[/C][C]0.440982[/C][/ROW]
[ROW][C]210[/C][C]2.1[/C][C]2.19645[/C][C]-0.0964516[/C][/ROW]
[ROW][C]211[/C][C]1.95[/C][C]2.06244[/C][C]-0.112437[/C][/ROW]
[ROW][C]212[/C][C]2.25[/C][C]2.04468[/C][C]0.205317[/C][/ROW]
[ROW][C]213[/C][C]2.4[/C][C]2.23227[/C][C]0.167732[/C][/ROW]
[ROW][C]214[/C][C]1.95[/C][C]2.22605[/C][C]-0.27605[/C][/ROW]
[ROW][C]215[/C][C]2.1[/C][C]2.25815[/C][C]-0.158152[/C][/ROW]
[ROW][C]216[/C][C]2.4[/C][C]2.12701[/C][C]0.272994[/C][/ROW]
[ROW][C]217[/C][C]2.1[/C][C]2.13282[/C][C]-0.0328166[/C][/ROW]
[ROW][C]218[/C][C]2.4[/C][C]2.09493[/C][C]0.305067[/C][/ROW]
[ROW][C]219[/C][C]2.4[/C][C]2.10803[/C][C]0.291969[/C][/ROW]
[ROW][C]220[/C][C]2.4[/C][C]2.22683[/C][C]0.173167[/C][/ROW]
[ROW][C]221[/C][C]2.25[/C][C]2.19773[/C][C]0.0522662[/C][/ROW]
[ROW][C]222[/C][C]2.4[/C][C]2.13757[/C][C]0.262433[/C][/ROW]
[ROW][C]223[/C][C]2.1[/C][C]2.03066[/C][C]0.0693408[/C][/ROW]
[ROW][C]224[/C][C]2.1[/C][C]1.98011[/C][C]0.119889[/C][/ROW]
[ROW][C]225[/C][C]1.8[/C][C]2.1802[/C][C]-0.380201[/C][/ROW]
[ROW][C]226[/C][C]2.7[/C][C]2.10371[/C][C]0.596288[/C][/ROW]
[ROW][C]227[/C][C]2.1[/C][C]2.05126[/C][C]0.0487363[/C][/ROW]
[ROW][C]228[/C][C]2.1[/C][C]2.12902[/C][C]-0.0290189[/C][/ROW]
[ROW][C]229[/C][C]2.4[/C][C]2.22141[/C][C]0.178585[/C][/ROW]
[ROW][C]230[/C][C]2.55[/C][C]2.14221[/C][C]0.407788[/C][/ROW]
[ROW][C]231[/C][C]2.55[/C][C]2.03879[/C][C]0.511206[/C][/ROW]
[ROW][C]232[/C][C]2.1[/C][C]2.28347[/C][C]-0.183475[/C][/ROW]
[ROW][C]233[/C][C]2.1[/C][C]2.06979[/C][C]0.0302123[/C][/ROW]
[ROW][C]234[/C][C]2.1[/C][C]2.03363[/C][C]0.0663746[/C][/ROW]
[ROW][C]235[/C][C]2.25[/C][C]2.03761[/C][C]0.212394[/C][/ROW]
[ROW][C]236[/C][C]2.25[/C][C]2.07798[/C][C]0.17202[/C][/ROW]
[ROW][C]237[/C][C]2.1[/C][C]2.0458[/C][C]0.054204[/C][/ROW]
[ROW][C]238[/C][C]2.1[/C][C]2.20151[/C][C]-0.101514[/C][/ROW]
[ROW][C]239[/C][C]1.95[/C][C]2.17789[/C][C]-0.227888[/C][/ROW]
[ROW][C]240[/C][C]2.4[/C][C]2.06742[/C][C]0.332576[/C][/ROW]
[ROW][C]241[/C][C]2.1[/C][C]2.18778[/C][C]-0.0877777[/C][/ROW]
[ROW][C]242[/C][C]2.4[/C][C]2.19204[/C][C]0.207964[/C][/ROW]
[ROW][C]243[/C][C]2.4[/C][C]2.06616[/C][C]0.333839[/C][/ROW]
[ROW][C]244[/C][C]2.4[/C][C]2.18354[/C][C]0.216458[/C][/ROW]
[ROW][C]245[/C][C]1.95[/C][C]2.07427[/C][C]-0.124268[/C][/ROW]
[ROW][C]246[/C][C]2.1[/C][C]2.21329[/C][C]-0.113291[/C][/ROW]
[ROW][C]247[/C][C]2.1[/C][C]2.18714[/C][C]-0.0871417[/C][/ROW]
[ROW][C]248[/C][C]2.55[/C][C]2.06899[/C][C]0.481012[/C][/ROW]
[ROW][C]249[/C][C]2.1[/C][C]2.1908[/C][C]-0.090804[/C][/ROW]
[ROW][C]250[/C][C]2.1[/C][C]2.06474[/C][C]0.035264[/C][/ROW]
[ROW][C]251[/C][C]2.1[/C][C]2.02043[/C][C]0.0795741[/C][/ROW]
[ROW][C]252[/C][C]1.95[/C][C]2.20684[/C][C]-0.256842[/C][/ROW]
[ROW][C]253[/C][C]2.25[/C][C]2.20028[/C][C]0.0497201[/C][/ROW]
[ROW][C]254[/C][C]2.4[/C][C]2.17291[/C][C]0.22709[/C][/ROW]
[ROW][C]255[/C][C]1.95[/C][C]2.05915[/C][C]-0.109154[/C][/ROW]
[ROW][C]256[/C][C]2.1[/C][C]2.2342[/C][C]-0.134204[/C][/ROW]
[ROW][C]257[/C][C]2.1[/C][C]2.0355[/C][C]0.064504[/C][/ROW]
[ROW][C]258[/C][C]1.95[/C][C]2.17004[/C][C]-0.220036[/C][/ROW]
[ROW][C]259[/C][C]2.1[/C][C]2.09245[/C][C]0.00754859[/C][/ROW]
[ROW][C]260[/C][C]2.1[/C][C]2.06396[/C][C]0.0360404[/C][/ROW]
[ROW][C]261[/C][C]1.95[/C][C]2.07177[/C][C]-0.121771[/C][/ROW]
[ROW][C]262[/C][C]2.1[/C][C]2.08655[/C][C]0.0134471[/C][/ROW]
[ROW][C]263[/C][C]1.95[/C][C]2.12183[/C][C]-0.171826[/C][/ROW]
[ROW][C]264[/C][C]2.4[/C][C]2.06616[/C][C]0.333839[/C][/ROW]
[ROW][C]265[/C][C]2.4[/C][C]2.18626[/C][C]0.213737[/C][/ROW]
[ROW][C]266[/C][C]2.4[/C][C]2.15131[/C][C]0.248694[/C][/ROW]
[ROW][C]267[/C][C]1.95[/C][C]2.13787[/C][C]-0.187871[/C][/ROW]
[ROW][C]268[/C][C]2.7[/C][C]2.05741[/C][C]0.642588[/C][/ROW]
[ROW][C]269[/C][C]2.1[/C][C]2.06881[/C][C]0.031186[/C][/ROW]
[ROW][C]270[/C][C]1.95[/C][C]2.05586[/C][C]-0.105859[/C][/ROW]
[ROW][C]271[/C][C]2.1[/C][C]2.01961[/C][C]0.080387[/C][/ROW]
[ROW][C]272[/C][C]1.95[/C][C]2.06222[/C][C]-0.112218[/C][/ROW]
[ROW][C]273[/C][C]2.1[/C][C]2.18958[/C][C]-0.0895798[/C][/ROW]
[ROW][C]274[/C][C]2.25[/C][C]2.27205[/C][C]-0.0220503[/C][/ROW]
[ROW][C]275[/C][C]2.7[/C][C]2.1205[/C][C]0.579504[/C][/ROW]
[ROW][C]276[/C][C]2.1[/C][C]2.10584[/C][C]-0.00584374[/C][/ROW]
[ROW][C]277[/C][C]2.4[/C][C]2.175[/C][C]0.224995[/C][/ROW]
[ROW][C]278[/C][C]1.35[/C][C]2.07805[/C][C]-0.728045[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266997&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266997&T=4

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


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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
11.52.06264-0.562635
22.12.021730.0782678
32.12.031360.0686387
41.92.0879-0.187903
51.62.02296-0.422956
62.12.10371-0.00371139
72.12.07910.0208988
82.22.158050.041951
91.52.12073-0.620733
101.92.09681-0.196807
112.22.0590.141003
121.62.1501-0.550097
131.52.04023-0.54023
141.92.13554-0.235537
150.12.02438-1.92438
162.22.058010.141989
171.82.13332-0.333317
181.62.06087-0.460868
192.22.064530.135467
202.12.051240.0487636
211.91.99114-0.0911402
221.62.0903-0.4903
231.92.00289-0.102886
242.22.045460.154539
251.82.08506-0.285055
262.42.084660.31534
272.42.185010.214988
282.52.06460.435395
291.92.02471-0.124715
302.12.029940.07006
311.92.09554-0.195537
322.12.071890.0281104
331.52.0542-0.5542
341.92.15557-0.255567
352.12.11246-0.0124628
361.52.12286-0.622857
372.12.008480.0915236
382.12.059820.0401847
391.82.05565-0.255653
402.42.13250.267497
412.12.01120.0887977
421.92.11981-0.219808
432.12.035760.0642441
441.92.04293-0.142925
452.42.066020.333983
462.12.064090.0359101
472.22.118060.0819397
482.22.087960.112041
491.82.01235-0.21235
502.12.030860.0691402
512.42.066510.333491
522.22.091550.108445
532.12.053870.0461254
541.52.02559-0.525587
551.92.13232-0.232321
561.82.10838-0.308384
571.82.02525-0.225247
581.62.05404-0.454036
591.21.9952-0.795196
601.82.08739-0.287389
611.52.09046-0.590461
622.11.979480.120519
632.42.038030.361971
642.42.078620.321382
651.51.96288-0.462884
661.82.05224-0.252236
672.12.12865-0.0286519
682.22.098870.101133
692.12.021690.0783112
701.92.04335-0.143352
712.12.1044-0.00439845
721.92.01669-0.116688
731.62.08605-0.486052
742.42.100880.299116
751.92.09429-0.194293
762.12.11231-0.0123144
771.82.03748-0.237484
782.12.14799-0.0479943
792.42.076620.323382
802.12.07410.0258954
812.22.038070.161931
822.11.997160.102843
832.22.108690.0913106
841.61.98903-0.389026
852.42.030770.369229
862.12.10537-0.00537435
871.92.0594-0.159399
882.42.059230.340773
892.12.013690.0863141
901.81.99936-0.199355
912.12.035260.0647386
921.82.00899-0.208987
931.92.02375-0.12375
941.92.06035-0.160354
952.42.048380.351625
961.81.96585-0.165849
971.82.0528-0.252805
982.12.015070.0849335
992.12.034140.0658552
1002.42.036280.363717
1011.92.06903-0.169031
1021.82.05955-0.259553
1031.82.01642-0.216421
1042.22.01850.181497
1052.42.078860.321138
1061.82.02484-0.224836
1072.42.020850.379153
1081.82.02659-0.226594
1091.92.03939-0.139394
1102.42.030780.369221
1112.12.000740.0992637
1121.91.98797-0.0879678
1132.12.029220.0707833
1142.72.166780.533219
1152.12.12789-0.027891
1162.12.1343-0.0342992
1172.12.32423-0.22423
1182.11.998350.101648
1192.12.40566-0.305659
1202.12.22312-0.123119
1212.12.42837-0.32837
1222.12.022540.0774598
1232.42.26050.1395
1241.952.07998-0.12998
1252.12.19144-0.0914431
1262.12.11316-0.0131647
1271.952.14847-0.198465
1282.12.37254-0.272545
1292.42.264660.135345
1302.12.075370.0246345
1312.252.030650.219349
1322.42.322190.0778064
1332.252.125140.124859
1342.552.176260.373735
1351.952.10191-0.151908
1362.42.21590.184098
1372.12.10596-0.00595998
1382.12.1321-0.0321003
1392.42.276710.123287
1402.12.34581-0.245807
1412.12.05260.0474019
1422.251.977860.27214
1432.252.131050.118948
1442.42.212350.187647
1452.12.16053-0.0605292
1462.42.1740.225996
1472.12.099030.000968995
1482.12.13679-0.0367879
1492.252.25573-0.00573426
1502.252.158230.0917744
1512.42.113370.286635
1522.252.195450.0545504
1532.252.159170.0908345
1542.12.19869-0.0986915
1552.12.11346-0.0134611
1562.12.17151-0.0715127
1572.72.231290.468711
1582.12.16746-0.0674595
1592.12.31279-0.212792
1602.252.127790.122205
1612.72.139130.560872
1622.42.289460.110536
1632.12.10834-0.00834084
1642.12.11499-0.014989
1652.42.183540.216458
1661.952.07177-0.121771
1672.72.238810.461195
1682.11.992470.10753
1692.252.221910.0280944
1702.12.20191-0.101909
1712.72.211290.488705
1722.12.13498-0.0349818
1732.12.093940.00606117
1741.652.13981-0.489813
1751.652.13981-0.489813
1762.12.14976-0.0497645
1772.12.15359-0.0535878
1782.12.19211-0.092115
1792.12.083790.0162115
1802.12.12729-0.0272925
1812.42.23130.168705
1822.42.115170.284829
1832.12.24496-0.14496
1842.252.162150.0878485
1852.42.006940.393061
1862.12.16415-0.0641509
1872.12.060310.0396919
1882.42.079650.320351
1892.41.950850.449147
1902.12.141-0.0409972
1912.12.091690.00830636
1922.42.110790.289211
1932.12.04630.0537039
1942.72.117370.582627
1952.12.10033-0.00032778
1962.12.21986-0.119864
1972.252.235430.0145716
1982.12.17-0.0700017
1992.42.07260.327399
2002.252.109990.140011
2012.252.190650.0593545
2022.12.099490.000507724
2032.12.074350.0256499
2042.42.175410.224591
2052.252.034490.215514
2062.12.082070.0179255
2072.12.19777-0.0977715
2081.652.07588-0.425876
2092.72.259020.440982
2102.12.19645-0.0964516
2111.952.06244-0.112437
2122.252.044680.205317
2132.42.232270.167732
2141.952.22605-0.27605
2152.12.25815-0.158152
2162.42.127010.272994
2172.12.13282-0.0328166
2182.42.094930.305067
2192.42.108030.291969
2202.42.226830.173167
2212.252.197730.0522662
2222.42.137570.262433
2232.12.030660.0693408
2242.11.980110.119889
2251.82.1802-0.380201
2262.72.103710.596288
2272.12.051260.0487363
2282.12.12902-0.0290189
2292.42.221410.178585
2302.552.142210.407788
2312.552.038790.511206
2322.12.28347-0.183475
2332.12.069790.0302123
2342.12.033630.0663746
2352.252.037610.212394
2362.252.077980.17202
2372.12.04580.054204
2382.12.20151-0.101514
2391.952.17789-0.227888
2402.42.067420.332576
2412.12.18778-0.0877777
2422.42.192040.207964
2432.42.066160.333839
2442.42.183540.216458
2451.952.07427-0.124268
2462.12.21329-0.113291
2472.12.18714-0.0871417
2482.552.068990.481012
2492.12.1908-0.090804
2502.12.064740.035264
2512.12.020430.0795741
2521.952.20684-0.256842
2532.252.200280.0497201
2542.42.172910.22709
2551.952.05915-0.109154
2562.12.2342-0.134204
2572.12.03550.064504
2581.952.17004-0.220036
2592.12.092450.00754859
2602.12.063960.0360404
2611.952.07177-0.121771
2622.12.086550.0134471
2631.952.12183-0.171826
2642.42.066160.333839
2652.42.186260.213737
2662.42.151310.248694
2671.952.13787-0.187871
2682.72.057410.642588
2692.12.068810.031186
2701.952.05586-0.105859
2712.12.019610.080387
2721.952.06222-0.112218
2732.12.18958-0.0895798
2742.252.27205-0.0220503
2752.72.12050.579504
2762.12.10584-0.00584374
2772.42.1750.224995
2781.352.07805-0.728045






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.6385970.7228070.361403
90.616940.766120.38306
100.7462010.5075970.253799
110.7253060.5493890.274694
120.8099820.3800370.190018
130.8670750.265850.132925
140.8115750.3768490.188425
150.9996680.0006644270.000332214
160.9999941.19126e-055.95632e-06
170.999992.04375e-051.02187e-05
180.9999833.34702e-051.67351e-05
190.9999911.85325e-059.26626e-06
200.9999921.62298e-058.11489e-06
210.9999843.12703e-051.56351e-05
220.9999794.17344e-052.08672e-05
230.999983.92022e-051.96011e-05
240.9999676.55048e-053.27524e-05
250.9999480.0001037495.18746e-05
260.9999160.0001680598.40294e-05
270.9999539.33652e-054.66826e-05
280.9999983.2291e-061.61455e-06
290.9999975.77025e-062.88513e-06
300.9999968.25736e-064.12868e-06
310.9999941.22023e-056.10115e-06
320.9999911.84986e-059.24928e-06
330.9999931.38263e-056.91317e-06
340.999992.05117e-051.02558e-05
350.9999892.13667e-051.06834e-05
360.9999921.59258e-057.96292e-06
370.9999892.14351e-051.07175e-05
380.999991.97494e-059.87469e-06
390.9999872.62054e-051.31027e-05
400.9999882.46623e-051.23311e-05
410.999992.01052e-051.00526e-05
420.9999852.92188e-051.46094e-05
430.9999794.27045e-052.13523e-05
440.9999696.26341e-053.13171e-05
450.9999941.12404e-055.6202e-06
460.9999911.74122e-058.70608e-06
470.9999892.26922e-051.13461e-05
480.9999911.86758e-059.33788e-06
490.9999872.63577e-051.31788e-05
500.9999882.3795e-051.18975e-05
510.9999931.35326e-056.7663e-06
520.9999931.41376e-057.06882e-06
530.9999892.16666e-051.08333e-05
540.9999951.01908e-055.09538e-06
550.9999931.34188e-056.70939e-06
560.9999921.54374e-057.71869e-06
570.999992.07441e-051.03721e-05
580.9999931.35033e-056.75166e-06
590.9999992.30439e-061.15219e-06
600.9999992.73497e-061.36749e-06
6114.33657e-072.16828e-07
6214.9946e-072.4973e-07
6312.19754e-071.09877e-07
6412.21037e-071.10518e-07
6518.12752e-084.06376e-08
6611.03088e-075.15438e-08
6711.59012e-077.9506e-08
6812.63461e-071.3173e-07
6913.56974e-071.78487e-07
7014.88751e-072.44376e-07
7117.05052e-073.52526e-07
7219.74838e-074.87419e-07
7315.2096e-072.6048e-07
7413.64134e-071.82067e-07
7514.49602e-072.24801e-07
7616.81505e-073.40752e-07
7717.58974e-073.79487e-07
780.9999991.15735e-065.78675e-07
7915.45752e-072.72876e-07
8017.84072e-073.92036e-07
8118.60232e-074.30116e-07
820.9999991.0995e-065.49751e-07
830.9999991.46035e-067.30177e-07
8419.3335e-074.66675e-07
8516.30243e-073.15121e-07
8619.29604e-074.64802e-07
870.9999991.14767e-065.73837e-07
8816.24573e-073.12287e-07
8918.43021e-074.21511e-07
9018.68402e-074.34201e-07
910.9999991.18818e-065.9409e-07
920.9999991.30028e-066.5014e-07
930.9999991.4679e-067.33948e-07
940.9999991.92757e-069.63787e-07
950.9999991.08441e-065.42203e-07
960.9999991.15563e-065.77817e-07
970.9999991.05617e-065.28086e-07
980.9999991.38857e-066.94284e-07
990.9999991.88088e-069.40442e-07
1000.9999991.49635e-067.48173e-07
1010.9999991.83564e-069.17818e-07
1020.9999991.65539e-068.27694e-07
1030.9999991.55721e-067.78607e-07
1040.9999992.00879e-061.0044e-06
1050.9999991.61371e-068.06857e-07
1060.9999991.24007e-066.20033e-07
10718.75923e-074.37961e-07
10817.4188e-073.7094e-07
10919.33948e-074.66974e-07
11018.01617e-074.00809e-07
1110.9999991.09599e-065.47995e-07
1120.9999991.29527e-066.47637e-07
1130.9999991.80799e-069.03996e-07
11413.21808e-071.60904e-07
11514.77226e-072.38613e-07
11617.07498e-073.53749e-07
11717.15335e-073.57668e-07
1180.9999991.00646e-065.03231e-07
1190.9999991.42661e-067.13305e-07
1200.9999991.71445e-068.57226e-07
12118.35909e-074.17955e-07
1220.9999991.20499e-066.02495e-07
1230.9999991.28387e-066.41934e-07
1240.9999991.86172e-069.30859e-07
1250.9999992.80649e-061.40324e-06
1260.9999984.17701e-062.08851e-06
1270.9999975.08026e-062.54013e-06
1280.9999976.23679e-063.1184e-06
1290.9999968.13574e-064.06787e-06
1300.9999941.16971e-055.84853e-06
1310.9999931.36412e-056.82058e-06
1320.9999911.86612e-059.33062e-06
1330.9999882.48904e-051.24452e-05
1340.9999921.69446e-058.47232e-06
1350.9999892.1961e-051.09805e-05
1360.9999882.31457e-051.15728e-05
1370.9999833.3411e-051.67055e-05
1380.9999764.84828e-052.42414e-05
1390.9999696.16406e-053.08203e-05
1400.9999627.52782e-053.76391e-05
1410.9999470.0001058375.29183e-05
1420.999940.0001201246.0062e-05
1430.9999230.0001542137.71063e-05
1440.999920.0001601678.00834e-05
1450.9998960.0002075760.000103788
1460.9998750.0002494890.000124745
1470.9998340.0003318690.000165934
1480.999780.0004405780.000220289
1490.9997120.0005764080.000288204
1500.9996210.0007582550.000379128
1510.9996210.0007575760.000378788
1520.9995080.0009840580.000492029
1530.9993510.001297850.000648926
1540.9991350.001729460.000864732
1550.9988360.002327390.00116369
1560.9984980.003003220.00150161
1570.9989470.002106430.00105322
1580.9986110.002777060.00138853
1590.9983720.003255650.00162783
1600.9979430.00411360.0020568
1610.9988160.002368750.00118438
1620.9989050.00219020.0010951
1630.9987480.002503280.00125164
1640.9983460.003308980.00165449
1650.9979750.004049780.00202489
1660.9977230.004554630.00227731
1670.998730.002539970.00126999
1680.9983660.003268950.00163447
1690.9978940.004211340.00210567
1700.9973210.005358420.00267921
1710.9989510.002097760.00104888
1720.9987090.00258250.00129125
1730.9985810.002837060.00141853
1740.9992750.001449580.000724788
1750.9996910.0006174010.000308701
1760.9996060.0007886130.000394306
1770.9995070.0009863140.000493157
1780.9993390.00132140.0006607
1790.9992510.001498330.000749163
1800.9989720.002056830.00102842
1810.9986540.002691370.00134568
1820.9985530.002894860.00144743
1830.9982350.003529030.00176451
1840.9976420.004716830.00235841
1850.9976230.004753930.00237696
1860.9970970.005806180.00290309
1870.9962220.007556370.00377819
1880.9959330.008133960.00406698
1890.9963840.00723160.0036158
1900.9952020.009595990.004798
1910.9936810.01263780.00631889
1920.9928180.01436330.00718166
1930.9906670.01866630.00933314
1940.9960530.007893980.00394699
1950.9947650.01046960.00523481
1960.9931790.01364220.0068211
1970.9910370.01792520.00896262
1980.9885210.02295790.011479
1990.9887150.02256920.0112846
2000.9856530.02869330.0143466
2010.9824350.03512950.0175648
2020.9775380.04492410.0224621
2030.972740.05451970.0272599
2040.9718890.05622280.0281114
2050.9668240.06635130.0331756
2060.9586410.08271710.0413585
2070.9488970.1022050.0511027
2080.9659540.0680920.034046
2090.9781550.04369020.0218451
2100.9736720.0526560.026328
2110.9715730.05685460.0284273
2120.9652150.06956910.0347846
2130.959980.08004050.0400203
2140.9524170.09516620.0475831
2150.9447260.1105490.0552745
2160.9424860.1150270.0575135
2170.931190.137620.0688101
2180.9285990.1428030.0714015
2190.9253520.1492960.0746481
2200.9185320.1629370.0814683
2210.9035990.1928020.0964012
2220.9119830.1760330.0880166
2230.892810.2143810.10719
2240.8715930.2568140.128407
2250.9036380.1927250.0963623
2260.9709310.05813830.0290691
2270.9621860.07562830.0378141
2280.9516140.09677140.0483857
2290.9408610.1182780.0591391
2300.9541670.09166570.0458328
2310.9637670.07246570.0362329
2320.9609340.07813220.0390661
2330.948930.1021410.0510705
2340.9363980.1272040.0636019
2350.9275470.1449070.0724535
2360.924730.150540.0752698
2370.910090.1798190.0899096
2380.8971660.2056680.102834
2390.8809380.2381240.119062
2400.8866630.2266730.113337
2410.8592710.2814580.140729
2420.8851360.2297290.114864
2430.878510.2429810.12149
2440.8684920.2630160.131508
2450.8441130.3117740.155887
2460.8121460.3757080.187854
2470.811960.376080.18804
2480.8583840.2832310.141616
2490.8410890.3178220.158911
2500.7989670.4020670.201033
2510.7503380.4993240.249662
2520.7470370.5059250.252963
2530.6912920.6174150.308708
2540.6372310.7255380.362769
2550.7386470.5227060.261353
2560.72620.5475990.2738
2570.6795630.6408740.320437
2580.6189950.762010.381005
2590.6753730.6492550.324627
2600.6905570.6188870.309443
2610.6292540.7414910.370746
2620.55520.8895990.4448
2630.5914950.8170110.408505
2640.5001930.9996140.499807
2650.4575180.9150360.542482
2660.8209040.3581920.179096
2670.9367710.1264580.0632291
2680.8817290.2365420.118271
2690.9243840.1512320.0756159
2700.8457060.3085870.154294

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
8 & 0.638597 & 0.722807 & 0.361403 \tabularnewline
9 & 0.61694 & 0.76612 & 0.38306 \tabularnewline
10 & 0.746201 & 0.507597 & 0.253799 \tabularnewline
11 & 0.725306 & 0.549389 & 0.274694 \tabularnewline
12 & 0.809982 & 0.380037 & 0.190018 \tabularnewline
13 & 0.867075 & 0.26585 & 0.132925 \tabularnewline
14 & 0.811575 & 0.376849 & 0.188425 \tabularnewline
15 & 0.999668 & 0.000664427 & 0.000332214 \tabularnewline
16 & 0.999994 & 1.19126e-05 & 5.95632e-06 \tabularnewline
17 & 0.99999 & 2.04375e-05 & 1.02187e-05 \tabularnewline
18 & 0.999983 & 3.34702e-05 & 1.67351e-05 \tabularnewline
19 & 0.999991 & 1.85325e-05 & 9.26626e-06 \tabularnewline
20 & 0.999992 & 1.62298e-05 & 8.11489e-06 \tabularnewline
21 & 0.999984 & 3.12703e-05 & 1.56351e-05 \tabularnewline
22 & 0.999979 & 4.17344e-05 & 2.08672e-05 \tabularnewline
23 & 0.99998 & 3.92022e-05 & 1.96011e-05 \tabularnewline
24 & 0.999967 & 6.55048e-05 & 3.27524e-05 \tabularnewline
25 & 0.999948 & 0.000103749 & 5.18746e-05 \tabularnewline
26 & 0.999916 & 0.000168059 & 8.40294e-05 \tabularnewline
27 & 0.999953 & 9.33652e-05 & 4.66826e-05 \tabularnewline
28 & 0.999998 & 3.2291e-06 & 1.61455e-06 \tabularnewline
29 & 0.999997 & 5.77025e-06 & 2.88513e-06 \tabularnewline
30 & 0.999996 & 8.25736e-06 & 4.12868e-06 \tabularnewline
31 & 0.999994 & 1.22023e-05 & 6.10115e-06 \tabularnewline
32 & 0.999991 & 1.84986e-05 & 9.24928e-06 \tabularnewline
33 & 0.999993 & 1.38263e-05 & 6.91317e-06 \tabularnewline
34 & 0.99999 & 2.05117e-05 & 1.02558e-05 \tabularnewline
35 & 0.999989 & 2.13667e-05 & 1.06834e-05 \tabularnewline
36 & 0.999992 & 1.59258e-05 & 7.96292e-06 \tabularnewline
37 & 0.999989 & 2.14351e-05 & 1.07175e-05 \tabularnewline
38 & 0.99999 & 1.97494e-05 & 9.87469e-06 \tabularnewline
39 & 0.999987 & 2.62054e-05 & 1.31027e-05 \tabularnewline
40 & 0.999988 & 2.46623e-05 & 1.23311e-05 \tabularnewline
41 & 0.99999 & 2.01052e-05 & 1.00526e-05 \tabularnewline
42 & 0.999985 & 2.92188e-05 & 1.46094e-05 \tabularnewline
43 & 0.999979 & 4.27045e-05 & 2.13523e-05 \tabularnewline
44 & 0.999969 & 6.26341e-05 & 3.13171e-05 \tabularnewline
45 & 0.999994 & 1.12404e-05 & 5.6202e-06 \tabularnewline
46 & 0.999991 & 1.74122e-05 & 8.70608e-06 \tabularnewline
47 & 0.999989 & 2.26922e-05 & 1.13461e-05 \tabularnewline
48 & 0.999991 & 1.86758e-05 & 9.33788e-06 \tabularnewline
49 & 0.999987 & 2.63577e-05 & 1.31788e-05 \tabularnewline
50 & 0.999988 & 2.3795e-05 & 1.18975e-05 \tabularnewline
51 & 0.999993 & 1.35326e-05 & 6.7663e-06 \tabularnewline
52 & 0.999993 & 1.41376e-05 & 7.06882e-06 \tabularnewline
53 & 0.999989 & 2.16666e-05 & 1.08333e-05 \tabularnewline
54 & 0.999995 & 1.01908e-05 & 5.09538e-06 \tabularnewline
55 & 0.999993 & 1.34188e-05 & 6.70939e-06 \tabularnewline
56 & 0.999992 & 1.54374e-05 & 7.71869e-06 \tabularnewline
57 & 0.99999 & 2.07441e-05 & 1.03721e-05 \tabularnewline
58 & 0.999993 & 1.35033e-05 & 6.75166e-06 \tabularnewline
59 & 0.999999 & 2.30439e-06 & 1.15219e-06 \tabularnewline
60 & 0.999999 & 2.73497e-06 & 1.36749e-06 \tabularnewline
61 & 1 & 4.33657e-07 & 2.16828e-07 \tabularnewline
62 & 1 & 4.9946e-07 & 2.4973e-07 \tabularnewline
63 & 1 & 2.19754e-07 & 1.09877e-07 \tabularnewline
64 & 1 & 2.21037e-07 & 1.10518e-07 \tabularnewline
65 & 1 & 8.12752e-08 & 4.06376e-08 \tabularnewline
66 & 1 & 1.03088e-07 & 5.15438e-08 \tabularnewline
67 & 1 & 1.59012e-07 & 7.9506e-08 \tabularnewline
68 & 1 & 2.63461e-07 & 1.3173e-07 \tabularnewline
69 & 1 & 3.56974e-07 & 1.78487e-07 \tabularnewline
70 & 1 & 4.88751e-07 & 2.44376e-07 \tabularnewline
71 & 1 & 7.05052e-07 & 3.52526e-07 \tabularnewline
72 & 1 & 9.74838e-07 & 4.87419e-07 \tabularnewline
73 & 1 & 5.2096e-07 & 2.6048e-07 \tabularnewline
74 & 1 & 3.64134e-07 & 1.82067e-07 \tabularnewline
75 & 1 & 4.49602e-07 & 2.24801e-07 \tabularnewline
76 & 1 & 6.81505e-07 & 3.40752e-07 \tabularnewline
77 & 1 & 7.58974e-07 & 3.79487e-07 \tabularnewline
78 & 0.999999 & 1.15735e-06 & 5.78675e-07 \tabularnewline
79 & 1 & 5.45752e-07 & 2.72876e-07 \tabularnewline
80 & 1 & 7.84072e-07 & 3.92036e-07 \tabularnewline
81 & 1 & 8.60232e-07 & 4.30116e-07 \tabularnewline
82 & 0.999999 & 1.0995e-06 & 5.49751e-07 \tabularnewline
83 & 0.999999 & 1.46035e-06 & 7.30177e-07 \tabularnewline
84 & 1 & 9.3335e-07 & 4.66675e-07 \tabularnewline
85 & 1 & 6.30243e-07 & 3.15121e-07 \tabularnewline
86 & 1 & 9.29604e-07 & 4.64802e-07 \tabularnewline
87 & 0.999999 & 1.14767e-06 & 5.73837e-07 \tabularnewline
88 & 1 & 6.24573e-07 & 3.12287e-07 \tabularnewline
89 & 1 & 8.43021e-07 & 4.21511e-07 \tabularnewline
90 & 1 & 8.68402e-07 & 4.34201e-07 \tabularnewline
91 & 0.999999 & 1.18818e-06 & 5.9409e-07 \tabularnewline
92 & 0.999999 & 1.30028e-06 & 6.5014e-07 \tabularnewline
93 & 0.999999 & 1.4679e-06 & 7.33948e-07 \tabularnewline
94 & 0.999999 & 1.92757e-06 & 9.63787e-07 \tabularnewline
95 & 0.999999 & 1.08441e-06 & 5.42203e-07 \tabularnewline
96 & 0.999999 & 1.15563e-06 & 5.77817e-07 \tabularnewline
97 & 0.999999 & 1.05617e-06 & 5.28086e-07 \tabularnewline
98 & 0.999999 & 1.38857e-06 & 6.94284e-07 \tabularnewline
99 & 0.999999 & 1.88088e-06 & 9.40442e-07 \tabularnewline
100 & 0.999999 & 1.49635e-06 & 7.48173e-07 \tabularnewline
101 & 0.999999 & 1.83564e-06 & 9.17818e-07 \tabularnewline
102 & 0.999999 & 1.65539e-06 & 8.27694e-07 \tabularnewline
103 & 0.999999 & 1.55721e-06 & 7.78607e-07 \tabularnewline
104 & 0.999999 & 2.00879e-06 & 1.0044e-06 \tabularnewline
105 & 0.999999 & 1.61371e-06 & 8.06857e-07 \tabularnewline
106 & 0.999999 & 1.24007e-06 & 6.20033e-07 \tabularnewline
107 & 1 & 8.75923e-07 & 4.37961e-07 \tabularnewline
108 & 1 & 7.4188e-07 & 3.7094e-07 \tabularnewline
109 & 1 & 9.33948e-07 & 4.66974e-07 \tabularnewline
110 & 1 & 8.01617e-07 & 4.00809e-07 \tabularnewline
111 & 0.999999 & 1.09599e-06 & 5.47995e-07 \tabularnewline
112 & 0.999999 & 1.29527e-06 & 6.47637e-07 \tabularnewline
113 & 0.999999 & 1.80799e-06 & 9.03996e-07 \tabularnewline
114 & 1 & 3.21808e-07 & 1.60904e-07 \tabularnewline
115 & 1 & 4.77226e-07 & 2.38613e-07 \tabularnewline
116 & 1 & 7.07498e-07 & 3.53749e-07 \tabularnewline
117 & 1 & 7.15335e-07 & 3.57668e-07 \tabularnewline
118 & 0.999999 & 1.00646e-06 & 5.03231e-07 \tabularnewline
119 & 0.999999 & 1.42661e-06 & 7.13305e-07 \tabularnewline
120 & 0.999999 & 1.71445e-06 & 8.57226e-07 \tabularnewline
121 & 1 & 8.35909e-07 & 4.17955e-07 \tabularnewline
122 & 0.999999 & 1.20499e-06 & 6.02495e-07 \tabularnewline
123 & 0.999999 & 1.28387e-06 & 6.41934e-07 \tabularnewline
124 & 0.999999 & 1.86172e-06 & 9.30859e-07 \tabularnewline
125 & 0.999999 & 2.80649e-06 & 1.40324e-06 \tabularnewline
126 & 0.999998 & 4.17701e-06 & 2.08851e-06 \tabularnewline
127 & 0.999997 & 5.08026e-06 & 2.54013e-06 \tabularnewline
128 & 0.999997 & 6.23679e-06 & 3.1184e-06 \tabularnewline
129 & 0.999996 & 8.13574e-06 & 4.06787e-06 \tabularnewline
130 & 0.999994 & 1.16971e-05 & 5.84853e-06 \tabularnewline
131 & 0.999993 & 1.36412e-05 & 6.82058e-06 \tabularnewline
132 & 0.999991 & 1.86612e-05 & 9.33062e-06 \tabularnewline
133 & 0.999988 & 2.48904e-05 & 1.24452e-05 \tabularnewline
134 & 0.999992 & 1.69446e-05 & 8.47232e-06 \tabularnewline
135 & 0.999989 & 2.1961e-05 & 1.09805e-05 \tabularnewline
136 & 0.999988 & 2.31457e-05 & 1.15728e-05 \tabularnewline
137 & 0.999983 & 3.3411e-05 & 1.67055e-05 \tabularnewline
138 & 0.999976 & 4.84828e-05 & 2.42414e-05 \tabularnewline
139 & 0.999969 & 6.16406e-05 & 3.08203e-05 \tabularnewline
140 & 0.999962 & 7.52782e-05 & 3.76391e-05 \tabularnewline
141 & 0.999947 & 0.000105837 & 5.29183e-05 \tabularnewline
142 & 0.99994 & 0.000120124 & 6.0062e-05 \tabularnewline
143 & 0.999923 & 0.000154213 & 7.71063e-05 \tabularnewline
144 & 0.99992 & 0.000160167 & 8.00834e-05 \tabularnewline
145 & 0.999896 & 0.000207576 & 0.000103788 \tabularnewline
146 & 0.999875 & 0.000249489 & 0.000124745 \tabularnewline
147 & 0.999834 & 0.000331869 & 0.000165934 \tabularnewline
148 & 0.99978 & 0.000440578 & 0.000220289 \tabularnewline
149 & 0.999712 & 0.000576408 & 0.000288204 \tabularnewline
150 & 0.999621 & 0.000758255 & 0.000379128 \tabularnewline
151 & 0.999621 & 0.000757576 & 0.000378788 \tabularnewline
152 & 0.999508 & 0.000984058 & 0.000492029 \tabularnewline
153 & 0.999351 & 0.00129785 & 0.000648926 \tabularnewline
154 & 0.999135 & 0.00172946 & 0.000864732 \tabularnewline
155 & 0.998836 & 0.00232739 & 0.00116369 \tabularnewline
156 & 0.998498 & 0.00300322 & 0.00150161 \tabularnewline
157 & 0.998947 & 0.00210643 & 0.00105322 \tabularnewline
158 & 0.998611 & 0.00277706 & 0.00138853 \tabularnewline
159 & 0.998372 & 0.00325565 & 0.00162783 \tabularnewline
160 & 0.997943 & 0.0041136 & 0.0020568 \tabularnewline
161 & 0.998816 & 0.00236875 & 0.00118438 \tabularnewline
162 & 0.998905 & 0.0021902 & 0.0010951 \tabularnewline
163 & 0.998748 & 0.00250328 & 0.00125164 \tabularnewline
164 & 0.998346 & 0.00330898 & 0.00165449 \tabularnewline
165 & 0.997975 & 0.00404978 & 0.00202489 \tabularnewline
166 & 0.997723 & 0.00455463 & 0.00227731 \tabularnewline
167 & 0.99873 & 0.00253997 & 0.00126999 \tabularnewline
168 & 0.998366 & 0.00326895 & 0.00163447 \tabularnewline
169 & 0.997894 & 0.00421134 & 0.00210567 \tabularnewline
170 & 0.997321 & 0.00535842 & 0.00267921 \tabularnewline
171 & 0.998951 & 0.00209776 & 0.00104888 \tabularnewline
172 & 0.998709 & 0.0025825 & 0.00129125 \tabularnewline
173 & 0.998581 & 0.00283706 & 0.00141853 \tabularnewline
174 & 0.999275 & 0.00144958 & 0.000724788 \tabularnewline
175 & 0.999691 & 0.000617401 & 0.000308701 \tabularnewline
176 & 0.999606 & 0.000788613 & 0.000394306 \tabularnewline
177 & 0.999507 & 0.000986314 & 0.000493157 \tabularnewline
178 & 0.999339 & 0.0013214 & 0.0006607 \tabularnewline
179 & 0.999251 & 0.00149833 & 0.000749163 \tabularnewline
180 & 0.998972 & 0.00205683 & 0.00102842 \tabularnewline
181 & 0.998654 & 0.00269137 & 0.00134568 \tabularnewline
182 & 0.998553 & 0.00289486 & 0.00144743 \tabularnewline
183 & 0.998235 & 0.00352903 & 0.00176451 \tabularnewline
184 & 0.997642 & 0.00471683 & 0.00235841 \tabularnewline
185 & 0.997623 & 0.00475393 & 0.00237696 \tabularnewline
186 & 0.997097 & 0.00580618 & 0.00290309 \tabularnewline
187 & 0.996222 & 0.00755637 & 0.00377819 \tabularnewline
188 & 0.995933 & 0.00813396 & 0.00406698 \tabularnewline
189 & 0.996384 & 0.0072316 & 0.0036158 \tabularnewline
190 & 0.995202 & 0.00959599 & 0.004798 \tabularnewline
191 & 0.993681 & 0.0126378 & 0.00631889 \tabularnewline
192 & 0.992818 & 0.0143633 & 0.00718166 \tabularnewline
193 & 0.990667 & 0.0186663 & 0.00933314 \tabularnewline
194 & 0.996053 & 0.00789398 & 0.00394699 \tabularnewline
195 & 0.994765 & 0.0104696 & 0.00523481 \tabularnewline
196 & 0.993179 & 0.0136422 & 0.0068211 \tabularnewline
197 & 0.991037 & 0.0179252 & 0.00896262 \tabularnewline
198 & 0.988521 & 0.0229579 & 0.011479 \tabularnewline
199 & 0.988715 & 0.0225692 & 0.0112846 \tabularnewline
200 & 0.985653 & 0.0286933 & 0.0143466 \tabularnewline
201 & 0.982435 & 0.0351295 & 0.0175648 \tabularnewline
202 & 0.977538 & 0.0449241 & 0.0224621 \tabularnewline
203 & 0.97274 & 0.0545197 & 0.0272599 \tabularnewline
204 & 0.971889 & 0.0562228 & 0.0281114 \tabularnewline
205 & 0.966824 & 0.0663513 & 0.0331756 \tabularnewline
206 & 0.958641 & 0.0827171 & 0.0413585 \tabularnewline
207 & 0.948897 & 0.102205 & 0.0511027 \tabularnewline
208 & 0.965954 & 0.068092 & 0.034046 \tabularnewline
209 & 0.978155 & 0.0436902 & 0.0218451 \tabularnewline
210 & 0.973672 & 0.052656 & 0.026328 \tabularnewline
211 & 0.971573 & 0.0568546 & 0.0284273 \tabularnewline
212 & 0.965215 & 0.0695691 & 0.0347846 \tabularnewline
213 & 0.95998 & 0.0800405 & 0.0400203 \tabularnewline
214 & 0.952417 & 0.0951662 & 0.0475831 \tabularnewline
215 & 0.944726 & 0.110549 & 0.0552745 \tabularnewline
216 & 0.942486 & 0.115027 & 0.0575135 \tabularnewline
217 & 0.93119 & 0.13762 & 0.0688101 \tabularnewline
218 & 0.928599 & 0.142803 & 0.0714015 \tabularnewline
219 & 0.925352 & 0.149296 & 0.0746481 \tabularnewline
220 & 0.918532 & 0.162937 & 0.0814683 \tabularnewline
221 & 0.903599 & 0.192802 & 0.0964012 \tabularnewline
222 & 0.911983 & 0.176033 & 0.0880166 \tabularnewline
223 & 0.89281 & 0.214381 & 0.10719 \tabularnewline
224 & 0.871593 & 0.256814 & 0.128407 \tabularnewline
225 & 0.903638 & 0.192725 & 0.0963623 \tabularnewline
226 & 0.970931 & 0.0581383 & 0.0290691 \tabularnewline
227 & 0.962186 & 0.0756283 & 0.0378141 \tabularnewline
228 & 0.951614 & 0.0967714 & 0.0483857 \tabularnewline
229 & 0.940861 & 0.118278 & 0.0591391 \tabularnewline
230 & 0.954167 & 0.0916657 & 0.0458328 \tabularnewline
231 & 0.963767 & 0.0724657 & 0.0362329 \tabularnewline
232 & 0.960934 & 0.0781322 & 0.0390661 \tabularnewline
233 & 0.94893 & 0.102141 & 0.0510705 \tabularnewline
234 & 0.936398 & 0.127204 & 0.0636019 \tabularnewline
235 & 0.927547 & 0.144907 & 0.0724535 \tabularnewline
236 & 0.92473 & 0.15054 & 0.0752698 \tabularnewline
237 & 0.91009 & 0.179819 & 0.0899096 \tabularnewline
238 & 0.897166 & 0.205668 & 0.102834 \tabularnewline
239 & 0.880938 & 0.238124 & 0.119062 \tabularnewline
240 & 0.886663 & 0.226673 & 0.113337 \tabularnewline
241 & 0.859271 & 0.281458 & 0.140729 \tabularnewline
242 & 0.885136 & 0.229729 & 0.114864 \tabularnewline
243 & 0.87851 & 0.242981 & 0.12149 \tabularnewline
244 & 0.868492 & 0.263016 & 0.131508 \tabularnewline
245 & 0.844113 & 0.311774 & 0.155887 \tabularnewline
246 & 0.812146 & 0.375708 & 0.187854 \tabularnewline
247 & 0.81196 & 0.37608 & 0.18804 \tabularnewline
248 & 0.858384 & 0.283231 & 0.141616 \tabularnewline
249 & 0.841089 & 0.317822 & 0.158911 \tabularnewline
250 & 0.798967 & 0.402067 & 0.201033 \tabularnewline
251 & 0.750338 & 0.499324 & 0.249662 \tabularnewline
252 & 0.747037 & 0.505925 & 0.252963 \tabularnewline
253 & 0.691292 & 0.617415 & 0.308708 \tabularnewline
254 & 0.637231 & 0.725538 & 0.362769 \tabularnewline
255 & 0.738647 & 0.522706 & 0.261353 \tabularnewline
256 & 0.7262 & 0.547599 & 0.2738 \tabularnewline
257 & 0.679563 & 0.640874 & 0.320437 \tabularnewline
258 & 0.618995 & 0.76201 & 0.381005 \tabularnewline
259 & 0.675373 & 0.649255 & 0.324627 \tabularnewline
260 & 0.690557 & 0.618887 & 0.309443 \tabularnewline
261 & 0.629254 & 0.741491 & 0.370746 \tabularnewline
262 & 0.5552 & 0.889599 & 0.4448 \tabularnewline
263 & 0.591495 & 0.817011 & 0.408505 \tabularnewline
264 & 0.500193 & 0.999614 & 0.499807 \tabularnewline
265 & 0.457518 & 0.915036 & 0.542482 \tabularnewline
266 & 0.820904 & 0.358192 & 0.179096 \tabularnewline
267 & 0.936771 & 0.126458 & 0.0632291 \tabularnewline
268 & 0.881729 & 0.236542 & 0.118271 \tabularnewline
269 & 0.924384 & 0.151232 & 0.0756159 \tabularnewline
270 & 0.845706 & 0.308587 & 0.154294 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266997&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]8[/C][C]0.638597[/C][C]0.722807[/C][C]0.361403[/C][/ROW]
[ROW][C]9[/C][C]0.61694[/C][C]0.76612[/C][C]0.38306[/C][/ROW]
[ROW][C]10[/C][C]0.746201[/C][C]0.507597[/C][C]0.253799[/C][/ROW]
[ROW][C]11[/C][C]0.725306[/C][C]0.549389[/C][C]0.274694[/C][/ROW]
[ROW][C]12[/C][C]0.809982[/C][C]0.380037[/C][C]0.190018[/C][/ROW]
[ROW][C]13[/C][C]0.867075[/C][C]0.26585[/C][C]0.132925[/C][/ROW]
[ROW][C]14[/C][C]0.811575[/C][C]0.376849[/C][C]0.188425[/C][/ROW]
[ROW][C]15[/C][C]0.999668[/C][C]0.000664427[/C][C]0.000332214[/C][/ROW]
[ROW][C]16[/C][C]0.999994[/C][C]1.19126e-05[/C][C]5.95632e-06[/C][/ROW]
[ROW][C]17[/C][C]0.99999[/C][C]2.04375e-05[/C][C]1.02187e-05[/C][/ROW]
[ROW][C]18[/C][C]0.999983[/C][C]3.34702e-05[/C][C]1.67351e-05[/C][/ROW]
[ROW][C]19[/C][C]0.999991[/C][C]1.85325e-05[/C][C]9.26626e-06[/C][/ROW]
[ROW][C]20[/C][C]0.999992[/C][C]1.62298e-05[/C][C]8.11489e-06[/C][/ROW]
[ROW][C]21[/C][C]0.999984[/C][C]3.12703e-05[/C][C]1.56351e-05[/C][/ROW]
[ROW][C]22[/C][C]0.999979[/C][C]4.17344e-05[/C][C]2.08672e-05[/C][/ROW]
[ROW][C]23[/C][C]0.99998[/C][C]3.92022e-05[/C][C]1.96011e-05[/C][/ROW]
[ROW][C]24[/C][C]0.999967[/C][C]6.55048e-05[/C][C]3.27524e-05[/C][/ROW]
[ROW][C]25[/C][C]0.999948[/C][C]0.000103749[/C][C]5.18746e-05[/C][/ROW]
[ROW][C]26[/C][C]0.999916[/C][C]0.000168059[/C][C]8.40294e-05[/C][/ROW]
[ROW][C]27[/C][C]0.999953[/C][C]9.33652e-05[/C][C]4.66826e-05[/C][/ROW]
[ROW][C]28[/C][C]0.999998[/C][C]3.2291e-06[/C][C]1.61455e-06[/C][/ROW]
[ROW][C]29[/C][C]0.999997[/C][C]5.77025e-06[/C][C]2.88513e-06[/C][/ROW]
[ROW][C]30[/C][C]0.999996[/C][C]8.25736e-06[/C][C]4.12868e-06[/C][/ROW]
[ROW][C]31[/C][C]0.999994[/C][C]1.22023e-05[/C][C]6.10115e-06[/C][/ROW]
[ROW][C]32[/C][C]0.999991[/C][C]1.84986e-05[/C][C]9.24928e-06[/C][/ROW]
[ROW][C]33[/C][C]0.999993[/C][C]1.38263e-05[/C][C]6.91317e-06[/C][/ROW]
[ROW][C]34[/C][C]0.99999[/C][C]2.05117e-05[/C][C]1.02558e-05[/C][/ROW]
[ROW][C]35[/C][C]0.999989[/C][C]2.13667e-05[/C][C]1.06834e-05[/C][/ROW]
[ROW][C]36[/C][C]0.999992[/C][C]1.59258e-05[/C][C]7.96292e-06[/C][/ROW]
[ROW][C]37[/C][C]0.999989[/C][C]2.14351e-05[/C][C]1.07175e-05[/C][/ROW]
[ROW][C]38[/C][C]0.99999[/C][C]1.97494e-05[/C][C]9.87469e-06[/C][/ROW]
[ROW][C]39[/C][C]0.999987[/C][C]2.62054e-05[/C][C]1.31027e-05[/C][/ROW]
[ROW][C]40[/C][C]0.999988[/C][C]2.46623e-05[/C][C]1.23311e-05[/C][/ROW]
[ROW][C]41[/C][C]0.99999[/C][C]2.01052e-05[/C][C]1.00526e-05[/C][/ROW]
[ROW][C]42[/C][C]0.999985[/C][C]2.92188e-05[/C][C]1.46094e-05[/C][/ROW]
[ROW][C]43[/C][C]0.999979[/C][C]4.27045e-05[/C][C]2.13523e-05[/C][/ROW]
[ROW][C]44[/C][C]0.999969[/C][C]6.26341e-05[/C][C]3.13171e-05[/C][/ROW]
[ROW][C]45[/C][C]0.999994[/C][C]1.12404e-05[/C][C]5.6202e-06[/C][/ROW]
[ROW][C]46[/C][C]0.999991[/C][C]1.74122e-05[/C][C]8.70608e-06[/C][/ROW]
[ROW][C]47[/C][C]0.999989[/C][C]2.26922e-05[/C][C]1.13461e-05[/C][/ROW]
[ROW][C]48[/C][C]0.999991[/C][C]1.86758e-05[/C][C]9.33788e-06[/C][/ROW]
[ROW][C]49[/C][C]0.999987[/C][C]2.63577e-05[/C][C]1.31788e-05[/C][/ROW]
[ROW][C]50[/C][C]0.999988[/C][C]2.3795e-05[/C][C]1.18975e-05[/C][/ROW]
[ROW][C]51[/C][C]0.999993[/C][C]1.35326e-05[/C][C]6.7663e-06[/C][/ROW]
[ROW][C]52[/C][C]0.999993[/C][C]1.41376e-05[/C][C]7.06882e-06[/C][/ROW]
[ROW][C]53[/C][C]0.999989[/C][C]2.16666e-05[/C][C]1.08333e-05[/C][/ROW]
[ROW][C]54[/C][C]0.999995[/C][C]1.01908e-05[/C][C]5.09538e-06[/C][/ROW]
[ROW][C]55[/C][C]0.999993[/C][C]1.34188e-05[/C][C]6.70939e-06[/C][/ROW]
[ROW][C]56[/C][C]0.999992[/C][C]1.54374e-05[/C][C]7.71869e-06[/C][/ROW]
[ROW][C]57[/C][C]0.99999[/C][C]2.07441e-05[/C][C]1.03721e-05[/C][/ROW]
[ROW][C]58[/C][C]0.999993[/C][C]1.35033e-05[/C][C]6.75166e-06[/C][/ROW]
[ROW][C]59[/C][C]0.999999[/C][C]2.30439e-06[/C][C]1.15219e-06[/C][/ROW]
[ROW][C]60[/C][C]0.999999[/C][C]2.73497e-06[/C][C]1.36749e-06[/C][/ROW]
[ROW][C]61[/C][C]1[/C][C]4.33657e-07[/C][C]2.16828e-07[/C][/ROW]
[ROW][C]62[/C][C]1[/C][C]4.9946e-07[/C][C]2.4973e-07[/C][/ROW]
[ROW][C]63[/C][C]1[/C][C]2.19754e-07[/C][C]1.09877e-07[/C][/ROW]
[ROW][C]64[/C][C]1[/C][C]2.21037e-07[/C][C]1.10518e-07[/C][/ROW]
[ROW][C]65[/C][C]1[/C][C]8.12752e-08[/C][C]4.06376e-08[/C][/ROW]
[ROW][C]66[/C][C]1[/C][C]1.03088e-07[/C][C]5.15438e-08[/C][/ROW]
[ROW][C]67[/C][C]1[/C][C]1.59012e-07[/C][C]7.9506e-08[/C][/ROW]
[ROW][C]68[/C][C]1[/C][C]2.63461e-07[/C][C]1.3173e-07[/C][/ROW]
[ROW][C]69[/C][C]1[/C][C]3.56974e-07[/C][C]1.78487e-07[/C][/ROW]
[ROW][C]70[/C][C]1[/C][C]4.88751e-07[/C][C]2.44376e-07[/C][/ROW]
[ROW][C]71[/C][C]1[/C][C]7.05052e-07[/C][C]3.52526e-07[/C][/ROW]
[ROW][C]72[/C][C]1[/C][C]9.74838e-07[/C][C]4.87419e-07[/C][/ROW]
[ROW][C]73[/C][C]1[/C][C]5.2096e-07[/C][C]2.6048e-07[/C][/ROW]
[ROW][C]74[/C][C]1[/C][C]3.64134e-07[/C][C]1.82067e-07[/C][/ROW]
[ROW][C]75[/C][C]1[/C][C]4.49602e-07[/C][C]2.24801e-07[/C][/ROW]
[ROW][C]76[/C][C]1[/C][C]6.81505e-07[/C][C]3.40752e-07[/C][/ROW]
[ROW][C]77[/C][C]1[/C][C]7.58974e-07[/C][C]3.79487e-07[/C][/ROW]
[ROW][C]78[/C][C]0.999999[/C][C]1.15735e-06[/C][C]5.78675e-07[/C][/ROW]
[ROW][C]79[/C][C]1[/C][C]5.45752e-07[/C][C]2.72876e-07[/C][/ROW]
[ROW][C]80[/C][C]1[/C][C]7.84072e-07[/C][C]3.92036e-07[/C][/ROW]
[ROW][C]81[/C][C]1[/C][C]8.60232e-07[/C][C]4.30116e-07[/C][/ROW]
[ROW][C]82[/C][C]0.999999[/C][C]1.0995e-06[/C][C]5.49751e-07[/C][/ROW]
[ROW][C]83[/C][C]0.999999[/C][C]1.46035e-06[/C][C]7.30177e-07[/C][/ROW]
[ROW][C]84[/C][C]1[/C][C]9.3335e-07[/C][C]4.66675e-07[/C][/ROW]
[ROW][C]85[/C][C]1[/C][C]6.30243e-07[/C][C]3.15121e-07[/C][/ROW]
[ROW][C]86[/C][C]1[/C][C]9.29604e-07[/C][C]4.64802e-07[/C][/ROW]
[ROW][C]87[/C][C]0.999999[/C][C]1.14767e-06[/C][C]5.73837e-07[/C][/ROW]
[ROW][C]88[/C][C]1[/C][C]6.24573e-07[/C][C]3.12287e-07[/C][/ROW]
[ROW][C]89[/C][C]1[/C][C]8.43021e-07[/C][C]4.21511e-07[/C][/ROW]
[ROW][C]90[/C][C]1[/C][C]8.68402e-07[/C][C]4.34201e-07[/C][/ROW]
[ROW][C]91[/C][C]0.999999[/C][C]1.18818e-06[/C][C]5.9409e-07[/C][/ROW]
[ROW][C]92[/C][C]0.999999[/C][C]1.30028e-06[/C][C]6.5014e-07[/C][/ROW]
[ROW][C]93[/C][C]0.999999[/C][C]1.4679e-06[/C][C]7.33948e-07[/C][/ROW]
[ROW][C]94[/C][C]0.999999[/C][C]1.92757e-06[/C][C]9.63787e-07[/C][/ROW]
[ROW][C]95[/C][C]0.999999[/C][C]1.08441e-06[/C][C]5.42203e-07[/C][/ROW]
[ROW][C]96[/C][C]0.999999[/C][C]1.15563e-06[/C][C]5.77817e-07[/C][/ROW]
[ROW][C]97[/C][C]0.999999[/C][C]1.05617e-06[/C][C]5.28086e-07[/C][/ROW]
[ROW][C]98[/C][C]0.999999[/C][C]1.38857e-06[/C][C]6.94284e-07[/C][/ROW]
[ROW][C]99[/C][C]0.999999[/C][C]1.88088e-06[/C][C]9.40442e-07[/C][/ROW]
[ROW][C]100[/C][C]0.999999[/C][C]1.49635e-06[/C][C]7.48173e-07[/C][/ROW]
[ROW][C]101[/C][C]0.999999[/C][C]1.83564e-06[/C][C]9.17818e-07[/C][/ROW]
[ROW][C]102[/C][C]0.999999[/C][C]1.65539e-06[/C][C]8.27694e-07[/C][/ROW]
[ROW][C]103[/C][C]0.999999[/C][C]1.55721e-06[/C][C]7.78607e-07[/C][/ROW]
[ROW][C]104[/C][C]0.999999[/C][C]2.00879e-06[/C][C]1.0044e-06[/C][/ROW]
[ROW][C]105[/C][C]0.999999[/C][C]1.61371e-06[/C][C]8.06857e-07[/C][/ROW]
[ROW][C]106[/C][C]0.999999[/C][C]1.24007e-06[/C][C]6.20033e-07[/C][/ROW]
[ROW][C]107[/C][C]1[/C][C]8.75923e-07[/C][C]4.37961e-07[/C][/ROW]
[ROW][C]108[/C][C]1[/C][C]7.4188e-07[/C][C]3.7094e-07[/C][/ROW]
[ROW][C]109[/C][C]1[/C][C]9.33948e-07[/C][C]4.66974e-07[/C][/ROW]
[ROW][C]110[/C][C]1[/C][C]8.01617e-07[/C][C]4.00809e-07[/C][/ROW]
[ROW][C]111[/C][C]0.999999[/C][C]1.09599e-06[/C][C]5.47995e-07[/C][/ROW]
[ROW][C]112[/C][C]0.999999[/C][C]1.29527e-06[/C][C]6.47637e-07[/C][/ROW]
[ROW][C]113[/C][C]0.999999[/C][C]1.80799e-06[/C][C]9.03996e-07[/C][/ROW]
[ROW][C]114[/C][C]1[/C][C]3.21808e-07[/C][C]1.60904e-07[/C][/ROW]
[ROW][C]115[/C][C]1[/C][C]4.77226e-07[/C][C]2.38613e-07[/C][/ROW]
[ROW][C]116[/C][C]1[/C][C]7.07498e-07[/C][C]3.53749e-07[/C][/ROW]
[ROW][C]117[/C][C]1[/C][C]7.15335e-07[/C][C]3.57668e-07[/C][/ROW]
[ROW][C]118[/C][C]0.999999[/C][C]1.00646e-06[/C][C]5.03231e-07[/C][/ROW]
[ROW][C]119[/C][C]0.999999[/C][C]1.42661e-06[/C][C]7.13305e-07[/C][/ROW]
[ROW][C]120[/C][C]0.999999[/C][C]1.71445e-06[/C][C]8.57226e-07[/C][/ROW]
[ROW][C]121[/C][C]1[/C][C]8.35909e-07[/C][C]4.17955e-07[/C][/ROW]
[ROW][C]122[/C][C]0.999999[/C][C]1.20499e-06[/C][C]6.02495e-07[/C][/ROW]
[ROW][C]123[/C][C]0.999999[/C][C]1.28387e-06[/C][C]6.41934e-07[/C][/ROW]
[ROW][C]124[/C][C]0.999999[/C][C]1.86172e-06[/C][C]9.30859e-07[/C][/ROW]
[ROW][C]125[/C][C]0.999999[/C][C]2.80649e-06[/C][C]1.40324e-06[/C][/ROW]
[ROW][C]126[/C][C]0.999998[/C][C]4.17701e-06[/C][C]2.08851e-06[/C][/ROW]
[ROW][C]127[/C][C]0.999997[/C][C]5.08026e-06[/C][C]2.54013e-06[/C][/ROW]
[ROW][C]128[/C][C]0.999997[/C][C]6.23679e-06[/C][C]3.1184e-06[/C][/ROW]
[ROW][C]129[/C][C]0.999996[/C][C]8.13574e-06[/C][C]4.06787e-06[/C][/ROW]
[ROW][C]130[/C][C]0.999994[/C][C]1.16971e-05[/C][C]5.84853e-06[/C][/ROW]
[ROW][C]131[/C][C]0.999993[/C][C]1.36412e-05[/C][C]6.82058e-06[/C][/ROW]
[ROW][C]132[/C][C]0.999991[/C][C]1.86612e-05[/C][C]9.33062e-06[/C][/ROW]
[ROW][C]133[/C][C]0.999988[/C][C]2.48904e-05[/C][C]1.24452e-05[/C][/ROW]
[ROW][C]134[/C][C]0.999992[/C][C]1.69446e-05[/C][C]8.47232e-06[/C][/ROW]
[ROW][C]135[/C][C]0.999989[/C][C]2.1961e-05[/C][C]1.09805e-05[/C][/ROW]
[ROW][C]136[/C][C]0.999988[/C][C]2.31457e-05[/C][C]1.15728e-05[/C][/ROW]
[ROW][C]137[/C][C]0.999983[/C][C]3.3411e-05[/C][C]1.67055e-05[/C][/ROW]
[ROW][C]138[/C][C]0.999976[/C][C]4.84828e-05[/C][C]2.42414e-05[/C][/ROW]
[ROW][C]139[/C][C]0.999969[/C][C]6.16406e-05[/C][C]3.08203e-05[/C][/ROW]
[ROW][C]140[/C][C]0.999962[/C][C]7.52782e-05[/C][C]3.76391e-05[/C][/ROW]
[ROW][C]141[/C][C]0.999947[/C][C]0.000105837[/C][C]5.29183e-05[/C][/ROW]
[ROW][C]142[/C][C]0.99994[/C][C]0.000120124[/C][C]6.0062e-05[/C][/ROW]
[ROW][C]143[/C][C]0.999923[/C][C]0.000154213[/C][C]7.71063e-05[/C][/ROW]
[ROW][C]144[/C][C]0.99992[/C][C]0.000160167[/C][C]8.00834e-05[/C][/ROW]
[ROW][C]145[/C][C]0.999896[/C][C]0.000207576[/C][C]0.000103788[/C][/ROW]
[ROW][C]146[/C][C]0.999875[/C][C]0.000249489[/C][C]0.000124745[/C][/ROW]
[ROW][C]147[/C][C]0.999834[/C][C]0.000331869[/C][C]0.000165934[/C][/ROW]
[ROW][C]148[/C][C]0.99978[/C][C]0.000440578[/C][C]0.000220289[/C][/ROW]
[ROW][C]149[/C][C]0.999712[/C][C]0.000576408[/C][C]0.000288204[/C][/ROW]
[ROW][C]150[/C][C]0.999621[/C][C]0.000758255[/C][C]0.000379128[/C][/ROW]
[ROW][C]151[/C][C]0.999621[/C][C]0.000757576[/C][C]0.000378788[/C][/ROW]
[ROW][C]152[/C][C]0.999508[/C][C]0.000984058[/C][C]0.000492029[/C][/ROW]
[ROW][C]153[/C][C]0.999351[/C][C]0.00129785[/C][C]0.000648926[/C][/ROW]
[ROW][C]154[/C][C]0.999135[/C][C]0.00172946[/C][C]0.000864732[/C][/ROW]
[ROW][C]155[/C][C]0.998836[/C][C]0.00232739[/C][C]0.00116369[/C][/ROW]
[ROW][C]156[/C][C]0.998498[/C][C]0.00300322[/C][C]0.00150161[/C][/ROW]
[ROW][C]157[/C][C]0.998947[/C][C]0.00210643[/C][C]0.00105322[/C][/ROW]
[ROW][C]158[/C][C]0.998611[/C][C]0.00277706[/C][C]0.00138853[/C][/ROW]
[ROW][C]159[/C][C]0.998372[/C][C]0.00325565[/C][C]0.00162783[/C][/ROW]
[ROW][C]160[/C][C]0.997943[/C][C]0.0041136[/C][C]0.0020568[/C][/ROW]
[ROW][C]161[/C][C]0.998816[/C][C]0.00236875[/C][C]0.00118438[/C][/ROW]
[ROW][C]162[/C][C]0.998905[/C][C]0.0021902[/C][C]0.0010951[/C][/ROW]
[ROW][C]163[/C][C]0.998748[/C][C]0.00250328[/C][C]0.00125164[/C][/ROW]
[ROW][C]164[/C][C]0.998346[/C][C]0.00330898[/C][C]0.00165449[/C][/ROW]
[ROW][C]165[/C][C]0.997975[/C][C]0.00404978[/C][C]0.00202489[/C][/ROW]
[ROW][C]166[/C][C]0.997723[/C][C]0.00455463[/C][C]0.00227731[/C][/ROW]
[ROW][C]167[/C][C]0.99873[/C][C]0.00253997[/C][C]0.00126999[/C][/ROW]
[ROW][C]168[/C][C]0.998366[/C][C]0.00326895[/C][C]0.00163447[/C][/ROW]
[ROW][C]169[/C][C]0.997894[/C][C]0.00421134[/C][C]0.00210567[/C][/ROW]
[ROW][C]170[/C][C]0.997321[/C][C]0.00535842[/C][C]0.00267921[/C][/ROW]
[ROW][C]171[/C][C]0.998951[/C][C]0.00209776[/C][C]0.00104888[/C][/ROW]
[ROW][C]172[/C][C]0.998709[/C][C]0.0025825[/C][C]0.00129125[/C][/ROW]
[ROW][C]173[/C][C]0.998581[/C][C]0.00283706[/C][C]0.00141853[/C][/ROW]
[ROW][C]174[/C][C]0.999275[/C][C]0.00144958[/C][C]0.000724788[/C][/ROW]
[ROW][C]175[/C][C]0.999691[/C][C]0.000617401[/C][C]0.000308701[/C][/ROW]
[ROW][C]176[/C][C]0.999606[/C][C]0.000788613[/C][C]0.000394306[/C][/ROW]
[ROW][C]177[/C][C]0.999507[/C][C]0.000986314[/C][C]0.000493157[/C][/ROW]
[ROW][C]178[/C][C]0.999339[/C][C]0.0013214[/C][C]0.0006607[/C][/ROW]
[ROW][C]179[/C][C]0.999251[/C][C]0.00149833[/C][C]0.000749163[/C][/ROW]
[ROW][C]180[/C][C]0.998972[/C][C]0.00205683[/C][C]0.00102842[/C][/ROW]
[ROW][C]181[/C][C]0.998654[/C][C]0.00269137[/C][C]0.00134568[/C][/ROW]
[ROW][C]182[/C][C]0.998553[/C][C]0.00289486[/C][C]0.00144743[/C][/ROW]
[ROW][C]183[/C][C]0.998235[/C][C]0.00352903[/C][C]0.00176451[/C][/ROW]
[ROW][C]184[/C][C]0.997642[/C][C]0.00471683[/C][C]0.00235841[/C][/ROW]
[ROW][C]185[/C][C]0.997623[/C][C]0.00475393[/C][C]0.00237696[/C][/ROW]
[ROW][C]186[/C][C]0.997097[/C][C]0.00580618[/C][C]0.00290309[/C][/ROW]
[ROW][C]187[/C][C]0.996222[/C][C]0.00755637[/C][C]0.00377819[/C][/ROW]
[ROW][C]188[/C][C]0.995933[/C][C]0.00813396[/C][C]0.00406698[/C][/ROW]
[ROW][C]189[/C][C]0.996384[/C][C]0.0072316[/C][C]0.0036158[/C][/ROW]
[ROW][C]190[/C][C]0.995202[/C][C]0.00959599[/C][C]0.004798[/C][/ROW]
[ROW][C]191[/C][C]0.993681[/C][C]0.0126378[/C][C]0.00631889[/C][/ROW]
[ROW][C]192[/C][C]0.992818[/C][C]0.0143633[/C][C]0.00718166[/C][/ROW]
[ROW][C]193[/C][C]0.990667[/C][C]0.0186663[/C][C]0.00933314[/C][/ROW]
[ROW][C]194[/C][C]0.996053[/C][C]0.00789398[/C][C]0.00394699[/C][/ROW]
[ROW][C]195[/C][C]0.994765[/C][C]0.0104696[/C][C]0.00523481[/C][/ROW]
[ROW][C]196[/C][C]0.993179[/C][C]0.0136422[/C][C]0.0068211[/C][/ROW]
[ROW][C]197[/C][C]0.991037[/C][C]0.0179252[/C][C]0.00896262[/C][/ROW]
[ROW][C]198[/C][C]0.988521[/C][C]0.0229579[/C][C]0.011479[/C][/ROW]
[ROW][C]199[/C][C]0.988715[/C][C]0.0225692[/C][C]0.0112846[/C][/ROW]
[ROW][C]200[/C][C]0.985653[/C][C]0.0286933[/C][C]0.0143466[/C][/ROW]
[ROW][C]201[/C][C]0.982435[/C][C]0.0351295[/C][C]0.0175648[/C][/ROW]
[ROW][C]202[/C][C]0.977538[/C][C]0.0449241[/C][C]0.0224621[/C][/ROW]
[ROW][C]203[/C][C]0.97274[/C][C]0.0545197[/C][C]0.0272599[/C][/ROW]
[ROW][C]204[/C][C]0.971889[/C][C]0.0562228[/C][C]0.0281114[/C][/ROW]
[ROW][C]205[/C][C]0.966824[/C][C]0.0663513[/C][C]0.0331756[/C][/ROW]
[ROW][C]206[/C][C]0.958641[/C][C]0.0827171[/C][C]0.0413585[/C][/ROW]
[ROW][C]207[/C][C]0.948897[/C][C]0.102205[/C][C]0.0511027[/C][/ROW]
[ROW][C]208[/C][C]0.965954[/C][C]0.068092[/C][C]0.034046[/C][/ROW]
[ROW][C]209[/C][C]0.978155[/C][C]0.0436902[/C][C]0.0218451[/C][/ROW]
[ROW][C]210[/C][C]0.973672[/C][C]0.052656[/C][C]0.026328[/C][/ROW]
[ROW][C]211[/C][C]0.971573[/C][C]0.0568546[/C][C]0.0284273[/C][/ROW]
[ROW][C]212[/C][C]0.965215[/C][C]0.0695691[/C][C]0.0347846[/C][/ROW]
[ROW][C]213[/C][C]0.95998[/C][C]0.0800405[/C][C]0.0400203[/C][/ROW]
[ROW][C]214[/C][C]0.952417[/C][C]0.0951662[/C][C]0.0475831[/C][/ROW]
[ROW][C]215[/C][C]0.944726[/C][C]0.110549[/C][C]0.0552745[/C][/ROW]
[ROW][C]216[/C][C]0.942486[/C][C]0.115027[/C][C]0.0575135[/C][/ROW]
[ROW][C]217[/C][C]0.93119[/C][C]0.13762[/C][C]0.0688101[/C][/ROW]
[ROW][C]218[/C][C]0.928599[/C][C]0.142803[/C][C]0.0714015[/C][/ROW]
[ROW][C]219[/C][C]0.925352[/C][C]0.149296[/C][C]0.0746481[/C][/ROW]
[ROW][C]220[/C][C]0.918532[/C][C]0.162937[/C][C]0.0814683[/C][/ROW]
[ROW][C]221[/C][C]0.903599[/C][C]0.192802[/C][C]0.0964012[/C][/ROW]
[ROW][C]222[/C][C]0.911983[/C][C]0.176033[/C][C]0.0880166[/C][/ROW]
[ROW][C]223[/C][C]0.89281[/C][C]0.214381[/C][C]0.10719[/C][/ROW]
[ROW][C]224[/C][C]0.871593[/C][C]0.256814[/C][C]0.128407[/C][/ROW]
[ROW][C]225[/C][C]0.903638[/C][C]0.192725[/C][C]0.0963623[/C][/ROW]
[ROW][C]226[/C][C]0.970931[/C][C]0.0581383[/C][C]0.0290691[/C][/ROW]
[ROW][C]227[/C][C]0.962186[/C][C]0.0756283[/C][C]0.0378141[/C][/ROW]
[ROW][C]228[/C][C]0.951614[/C][C]0.0967714[/C][C]0.0483857[/C][/ROW]
[ROW][C]229[/C][C]0.940861[/C][C]0.118278[/C][C]0.0591391[/C][/ROW]
[ROW][C]230[/C][C]0.954167[/C][C]0.0916657[/C][C]0.0458328[/C][/ROW]
[ROW][C]231[/C][C]0.963767[/C][C]0.0724657[/C][C]0.0362329[/C][/ROW]
[ROW][C]232[/C][C]0.960934[/C][C]0.0781322[/C][C]0.0390661[/C][/ROW]
[ROW][C]233[/C][C]0.94893[/C][C]0.102141[/C][C]0.0510705[/C][/ROW]
[ROW][C]234[/C][C]0.936398[/C][C]0.127204[/C][C]0.0636019[/C][/ROW]
[ROW][C]235[/C][C]0.927547[/C][C]0.144907[/C][C]0.0724535[/C][/ROW]
[ROW][C]236[/C][C]0.92473[/C][C]0.15054[/C][C]0.0752698[/C][/ROW]
[ROW][C]237[/C][C]0.91009[/C][C]0.179819[/C][C]0.0899096[/C][/ROW]
[ROW][C]238[/C][C]0.897166[/C][C]0.205668[/C][C]0.102834[/C][/ROW]
[ROW][C]239[/C][C]0.880938[/C][C]0.238124[/C][C]0.119062[/C][/ROW]
[ROW][C]240[/C][C]0.886663[/C][C]0.226673[/C][C]0.113337[/C][/ROW]
[ROW][C]241[/C][C]0.859271[/C][C]0.281458[/C][C]0.140729[/C][/ROW]
[ROW][C]242[/C][C]0.885136[/C][C]0.229729[/C][C]0.114864[/C][/ROW]
[ROW][C]243[/C][C]0.87851[/C][C]0.242981[/C][C]0.12149[/C][/ROW]
[ROW][C]244[/C][C]0.868492[/C][C]0.263016[/C][C]0.131508[/C][/ROW]
[ROW][C]245[/C][C]0.844113[/C][C]0.311774[/C][C]0.155887[/C][/ROW]
[ROW][C]246[/C][C]0.812146[/C][C]0.375708[/C][C]0.187854[/C][/ROW]
[ROW][C]247[/C][C]0.81196[/C][C]0.37608[/C][C]0.18804[/C][/ROW]
[ROW][C]248[/C][C]0.858384[/C][C]0.283231[/C][C]0.141616[/C][/ROW]
[ROW][C]249[/C][C]0.841089[/C][C]0.317822[/C][C]0.158911[/C][/ROW]
[ROW][C]250[/C][C]0.798967[/C][C]0.402067[/C][C]0.201033[/C][/ROW]
[ROW][C]251[/C][C]0.750338[/C][C]0.499324[/C][C]0.249662[/C][/ROW]
[ROW][C]252[/C][C]0.747037[/C][C]0.505925[/C][C]0.252963[/C][/ROW]
[ROW][C]253[/C][C]0.691292[/C][C]0.617415[/C][C]0.308708[/C][/ROW]
[ROW][C]254[/C][C]0.637231[/C][C]0.725538[/C][C]0.362769[/C][/ROW]
[ROW][C]255[/C][C]0.738647[/C][C]0.522706[/C][C]0.261353[/C][/ROW]
[ROW][C]256[/C][C]0.7262[/C][C]0.547599[/C][C]0.2738[/C][/ROW]
[ROW][C]257[/C][C]0.679563[/C][C]0.640874[/C][C]0.320437[/C][/ROW]
[ROW][C]258[/C][C]0.618995[/C][C]0.76201[/C][C]0.381005[/C][/ROW]
[ROW][C]259[/C][C]0.675373[/C][C]0.649255[/C][C]0.324627[/C][/ROW]
[ROW][C]260[/C][C]0.690557[/C][C]0.618887[/C][C]0.309443[/C][/ROW]
[ROW][C]261[/C][C]0.629254[/C][C]0.741491[/C][C]0.370746[/C][/ROW]
[ROW][C]262[/C][C]0.5552[/C][C]0.889599[/C][C]0.4448[/C][/ROW]
[ROW][C]263[/C][C]0.591495[/C][C]0.817011[/C][C]0.408505[/C][/ROW]
[ROW][C]264[/C][C]0.500193[/C][C]0.999614[/C][C]0.499807[/C][/ROW]
[ROW][C]265[/C][C]0.457518[/C][C]0.915036[/C][C]0.542482[/C][/ROW]
[ROW][C]266[/C][C]0.820904[/C][C]0.358192[/C][C]0.179096[/C][/ROW]
[ROW][C]267[/C][C]0.936771[/C][C]0.126458[/C][C]0.0632291[/C][/ROW]
[ROW][C]268[/C][C]0.881729[/C][C]0.236542[/C][C]0.118271[/C][/ROW]
[ROW][C]269[/C][C]0.924384[/C][C]0.151232[/C][C]0.0756159[/C][/ROW]
[ROW][C]270[/C][C]0.845706[/C][C]0.308587[/C][C]0.154294[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266997&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266997&T=5

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


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.6385970.7228070.361403
90.616940.766120.38306
100.7462010.5075970.253799
110.7253060.5493890.274694
120.8099820.3800370.190018
130.8670750.265850.132925
140.8115750.3768490.188425
150.9996680.0006644270.000332214
160.9999941.19126e-055.95632e-06
170.999992.04375e-051.02187e-05
180.9999833.34702e-051.67351e-05
190.9999911.85325e-059.26626e-06
200.9999921.62298e-058.11489e-06
210.9999843.12703e-051.56351e-05
220.9999794.17344e-052.08672e-05
230.999983.92022e-051.96011e-05
240.9999676.55048e-053.27524e-05
250.9999480.0001037495.18746e-05
260.9999160.0001680598.40294e-05
270.9999539.33652e-054.66826e-05
280.9999983.2291e-061.61455e-06
290.9999975.77025e-062.88513e-06
300.9999968.25736e-064.12868e-06
310.9999941.22023e-056.10115e-06
320.9999911.84986e-059.24928e-06
330.9999931.38263e-056.91317e-06
340.999992.05117e-051.02558e-05
350.9999892.13667e-051.06834e-05
360.9999921.59258e-057.96292e-06
370.9999892.14351e-051.07175e-05
380.999991.97494e-059.87469e-06
390.9999872.62054e-051.31027e-05
400.9999882.46623e-051.23311e-05
410.999992.01052e-051.00526e-05
420.9999852.92188e-051.46094e-05
430.9999794.27045e-052.13523e-05
440.9999696.26341e-053.13171e-05
450.9999941.12404e-055.6202e-06
460.9999911.74122e-058.70608e-06
470.9999892.26922e-051.13461e-05
480.9999911.86758e-059.33788e-06
490.9999872.63577e-051.31788e-05
500.9999882.3795e-051.18975e-05
510.9999931.35326e-056.7663e-06
520.9999931.41376e-057.06882e-06
530.9999892.16666e-051.08333e-05
540.9999951.01908e-055.09538e-06
550.9999931.34188e-056.70939e-06
560.9999921.54374e-057.71869e-06
570.999992.07441e-051.03721e-05
580.9999931.35033e-056.75166e-06
590.9999992.30439e-061.15219e-06
600.9999992.73497e-061.36749e-06
6114.33657e-072.16828e-07
6214.9946e-072.4973e-07
6312.19754e-071.09877e-07
6412.21037e-071.10518e-07
6518.12752e-084.06376e-08
6611.03088e-075.15438e-08
6711.59012e-077.9506e-08
6812.63461e-071.3173e-07
6913.56974e-071.78487e-07
7014.88751e-072.44376e-07
7117.05052e-073.52526e-07
7219.74838e-074.87419e-07
7315.2096e-072.6048e-07
7413.64134e-071.82067e-07
7514.49602e-072.24801e-07
7616.81505e-073.40752e-07
7717.58974e-073.79487e-07
780.9999991.15735e-065.78675e-07
7915.45752e-072.72876e-07
8017.84072e-073.92036e-07
8118.60232e-074.30116e-07
820.9999991.0995e-065.49751e-07
830.9999991.46035e-067.30177e-07
8419.3335e-074.66675e-07
8516.30243e-073.15121e-07
8619.29604e-074.64802e-07
870.9999991.14767e-065.73837e-07
8816.24573e-073.12287e-07
8918.43021e-074.21511e-07
9018.68402e-074.34201e-07
910.9999991.18818e-065.9409e-07
920.9999991.30028e-066.5014e-07
930.9999991.4679e-067.33948e-07
940.9999991.92757e-069.63787e-07
950.9999991.08441e-065.42203e-07
960.9999991.15563e-065.77817e-07
970.9999991.05617e-065.28086e-07
980.9999991.38857e-066.94284e-07
990.9999991.88088e-069.40442e-07
1000.9999991.49635e-067.48173e-07
1010.9999991.83564e-069.17818e-07
1020.9999991.65539e-068.27694e-07
1030.9999991.55721e-067.78607e-07
1040.9999992.00879e-061.0044e-06
1050.9999991.61371e-068.06857e-07
1060.9999991.24007e-066.20033e-07
10718.75923e-074.37961e-07
10817.4188e-073.7094e-07
10919.33948e-074.66974e-07
11018.01617e-074.00809e-07
1110.9999991.09599e-065.47995e-07
1120.9999991.29527e-066.47637e-07
1130.9999991.80799e-069.03996e-07
11413.21808e-071.60904e-07
11514.77226e-072.38613e-07
11617.07498e-073.53749e-07
11717.15335e-073.57668e-07
1180.9999991.00646e-065.03231e-07
1190.9999991.42661e-067.13305e-07
1200.9999991.71445e-068.57226e-07
12118.35909e-074.17955e-07
1220.9999991.20499e-066.02495e-07
1230.9999991.28387e-066.41934e-07
1240.9999991.86172e-069.30859e-07
1250.9999992.80649e-061.40324e-06
1260.9999984.17701e-062.08851e-06
1270.9999975.08026e-062.54013e-06
1280.9999976.23679e-063.1184e-06
1290.9999968.13574e-064.06787e-06
1300.9999941.16971e-055.84853e-06
1310.9999931.36412e-056.82058e-06
1320.9999911.86612e-059.33062e-06
1330.9999882.48904e-051.24452e-05
1340.9999921.69446e-058.47232e-06
1350.9999892.1961e-051.09805e-05
1360.9999882.31457e-051.15728e-05
1370.9999833.3411e-051.67055e-05
1380.9999764.84828e-052.42414e-05
1390.9999696.16406e-053.08203e-05
1400.9999627.52782e-053.76391e-05
1410.9999470.0001058375.29183e-05
1420.999940.0001201246.0062e-05
1430.9999230.0001542137.71063e-05
1440.999920.0001601678.00834e-05
1450.9998960.0002075760.000103788
1460.9998750.0002494890.000124745
1470.9998340.0003318690.000165934
1480.999780.0004405780.000220289
1490.9997120.0005764080.000288204
1500.9996210.0007582550.000379128
1510.9996210.0007575760.000378788
1520.9995080.0009840580.000492029
1530.9993510.001297850.000648926
1540.9991350.001729460.000864732
1550.9988360.002327390.00116369
1560.9984980.003003220.00150161
1570.9989470.002106430.00105322
1580.9986110.002777060.00138853
1590.9983720.003255650.00162783
1600.9979430.00411360.0020568
1610.9988160.002368750.00118438
1620.9989050.00219020.0010951
1630.9987480.002503280.00125164
1640.9983460.003308980.00165449
1650.9979750.004049780.00202489
1660.9977230.004554630.00227731
1670.998730.002539970.00126999
1680.9983660.003268950.00163447
1690.9978940.004211340.00210567
1700.9973210.005358420.00267921
1710.9989510.002097760.00104888
1720.9987090.00258250.00129125
1730.9985810.002837060.00141853
1740.9992750.001449580.000724788
1750.9996910.0006174010.000308701
1760.9996060.0007886130.000394306
1770.9995070.0009863140.000493157
1780.9993390.00132140.0006607
1790.9992510.001498330.000749163
1800.9989720.002056830.00102842
1810.9986540.002691370.00134568
1820.9985530.002894860.00144743
1830.9982350.003529030.00176451
1840.9976420.004716830.00235841
1850.9976230.004753930.00237696
1860.9970970.005806180.00290309
1870.9962220.007556370.00377819
1880.9959330.008133960.00406698
1890.9963840.00723160.0036158
1900.9952020.009595990.004798
1910.9936810.01263780.00631889
1920.9928180.01436330.00718166
1930.9906670.01866630.00933314
1940.9960530.007893980.00394699
1950.9947650.01046960.00523481
1960.9931790.01364220.0068211
1970.9910370.01792520.00896262
1980.9885210.02295790.011479
1990.9887150.02256920.0112846
2000.9856530.02869330.0143466
2010.9824350.03512950.0175648
2020.9775380.04492410.0224621
2030.972740.05451970.0272599
2040.9718890.05622280.0281114
2050.9668240.06635130.0331756
2060.9586410.08271710.0413585
2070.9488970.1022050.0511027
2080.9659540.0680920.034046
2090.9781550.04369020.0218451
2100.9736720.0526560.026328
2110.9715730.05685460.0284273
2120.9652150.06956910.0347846
2130.959980.08004050.0400203
2140.9524170.09516620.0475831
2150.9447260.1105490.0552745
2160.9424860.1150270.0575135
2170.931190.137620.0688101
2180.9285990.1428030.0714015
2190.9253520.1492960.0746481
2200.9185320.1629370.0814683
2210.9035990.1928020.0964012
2220.9119830.1760330.0880166
2230.892810.2143810.10719
2240.8715930.2568140.128407
2250.9036380.1927250.0963623
2260.9709310.05813830.0290691
2270.9621860.07562830.0378141
2280.9516140.09677140.0483857
2290.9408610.1182780.0591391
2300.9541670.09166570.0458328
2310.9637670.07246570.0362329
2320.9609340.07813220.0390661
2330.948930.1021410.0510705
2340.9363980.1272040.0636019
2350.9275470.1449070.0724535
2360.924730.150540.0752698
2370.910090.1798190.0899096
2380.8971660.2056680.102834
2390.8809380.2381240.119062
2400.8866630.2266730.113337
2410.8592710.2814580.140729
2420.8851360.2297290.114864
2430.878510.2429810.12149
2440.8684920.2630160.131508
2450.8441130.3117740.155887
2460.8121460.3757080.187854
2470.811960.376080.18804
2480.8583840.2832310.141616
2490.8410890.3178220.158911
2500.7989670.4020670.201033
2510.7503380.4993240.249662
2520.7470370.5059250.252963
2530.6912920.6174150.308708
2540.6372310.7255380.362769
2550.7386470.5227060.261353
2560.72620.5475990.2738
2570.6795630.6408740.320437
2580.6189950.762010.381005
2590.6753730.6492550.324627
2600.6905570.6188870.309443
2610.6292540.7414910.370746
2620.55520.8895990.4448
2630.5914950.8170110.408505
2640.5001930.9996140.499807
2650.4575180.9150360.542482
2660.8209040.3581920.179096
2670.9367710.1264580.0632291
2680.8817290.2365420.118271
2690.9243840.1512320.0756159
2700.8457060.3085870.154294






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1770.673004NOK
5% type I error level1890.718631NOK
10% type I error level2050.779468NOK

\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 & 177 & 0.673004 & NOK \tabularnewline
5% type I error level & 189 & 0.718631 & NOK \tabularnewline
10% type I error level & 205 & 0.779468 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266997&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]177[/C][C]0.673004[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]189[/C][C]0.718631[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]205[/C][C]0.779468[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266997&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266997&T=6

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1770.673004NOK
5% type I error level1890.718631NOK
10% type I error level2050.779468NOK


Figures (Output of Computation)

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Input Parameters & R Code

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')
}