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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 computationThu, 11 Dec 2014 15:24:11 +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/11/t14183114629hn34jti425fpzx.htm/, Retrieved Fri, 17 May 2024 09:46:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=266113, Retrieved Fri, 17 May 2024 09:46:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact76

Tree of Dependent Computations

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

Dataseries X:
Download CSV
Histogram
Boxplots 
7.5 96 149 86
6.0 70 139 70
6.5 88 148 71
1.0 114 158 108
1.0 69 128 64
5.5 176 224 119
8.5 114 159 97
6.5 121 105 129
4.5 110 159 153
2.0 158 167 78
5.0 116 165 80
0.5 181 159 99
5.0 77 119 68
5.0 141 176 147
2.5 35 54 40
5.0 80 91 57
5.5 152 163 120
3.5 97 124 71
3.0 99 137 84
4.0 84 121 68
0.5 68 153 55
6.5 101 148 137
4.5 107 221 79
7.5 88 188 116
5.5 112 149 101
4.0 171 244 111
7.5 137 148 189
7.0 77 92 66
4.0 66 150 81
5.5 93 153 63
2.5 105 94 69
5.5 131 156 71
3.5 102 132 64
2.5 161 161 143
4.5 120 105 85
4.5 127 97 86
4.5 77 151 55
6.0 108 131 69
2.5 85 166 120
5.0 168 157 96
0.0 48 111 60
5.0 152 145 95
6.5 75 162 100
5.0 107 163 68
6.0 62 59 57
4.5 121 187 105
5.5 124 109 85
1.0 72 90 103
7.5 40 105 57
6.0 58 83 51
5.0 97 116 69
1.0 88 42 41
5.0 126 148 49
6.5 104 155 50
7.0 148 125 93
4.5 146 116 58
0.0 80 128 54
8.5 97 138 74
3.5 25 49 15
7.5 99 96 69
3.5 118 164 107
6.0 58 162 65
1.5 63 99 58
9.0 139 202 107
3.5 50 186 70
3.5 60 66 53
4.0 152 183 136
6.5 142 214 126
7.5 94 188 95
6.0 66 104 69
5.0 127 177 136
5.5 67 126 58
3.5 90 76 59
7.5 75 99 118
6.5 128 139 82
6.5 146 162 102
6.5 69 108 65
7.0 186 159 90
3.5 81 74 64
1.5 85 110 83
4.0 54 96 70
7.5 46 116 50
4.5 106 87 77
0.0 34 97 37
3.5 60 127 81
5.5 95 106 101
5.0 57 80 79
4.5 62 74 71
2.5 36 91 60
7.5 56 133 55
7.0 54 74 44
0.0 64 114 40
4.5 76 140 56
3.0 98 95 43
1.5 88 98 45
3.5 35 121 32
2.5 102 126 56
5.5 61 98 40
8.0 80 95 34
1.0 49 110 89
5.0 78 70 50
4.5 90 102 56
3.0 45 86 46
3.0 55 130 76
8.0 96 96 64
2.5 43 102 74
7.0 52 100 57
0.0 60 94 45
1.0 54 52 30
3.5 51 98 62
5.5 51 118 51
5.5 38 99 36
0.5 41 48 34
7.5 146 50 61
9 182 150 70
9.5 192 154 69
8.5 263 109 145
7 35 68 23
8 439 194 120
10 214 158 147
7 341 159 215
8.5 58 67 24
9 292 147 84
9.5 85 39 30
4 200 100 77
6 158 111 46
8 199 138 61
5.5 297 101 178
9.5 227 131 160
7.5 108 101 57
7 86 114 42
7.5 302 165 163
8 148 114 75
7 178 111 94
7 120 75 45
6 207 82 78
10 157 121 47
2.5 128 32 29
9 296 150 97
8 323 117 116
6 79 71 32
8.5 70 165 50
6 146 154 118
9 246 126 66
8 145 138 48
9 199 145 89
5.5 127 120 76
5 91 138 39
5.5 299 132 57
9 228 172 72
2 190 169 60
8.5 180 114 109
9 212 156 76
8.5 269 172 65
9 130 68 40
7.5 179 89 58
10 243 167 123
9 190 113 71
7.5 299 115 102
6 121 78 80
10.5 137 118 97
8.5 305 87 46
8 157 173 93
10 96 2 19
10.5 183 162 140
6.5 52 49 78
9.5 238 122 98
8.5 40 96 40
7.5 226 100 80
5 190 82 76
8 214 100 79
10 145 115 87
7 119 141 95
7.5 222 165 49
7.5 222 165 49
9.5 159 110 80
6 165 118 86
10 249 158 69
7 125 146 79
3 122 49 52
6 186 90 120
7 148 121 69
10 274 155 94
7 172 104 72
3.5 84 147 43
8 168 110 87
10 102 108 52
5.5 106 113 71
6 2 115 61
6.5 139 61 51
6.5 95 60 50
8.5 130 109 67
4 72 68 30
9.5 141 111 70
8 113 77 52
8.5 206 73 75
5.5 268 151 87
7 175 89 69
9 77 78 72
8 125 110 79
10 255 220 121
8 111 65 43
6 132 141 58
8 211 117 57
5 92 122 50
9 76 63 69
4.5 171 44 64
8.5 83 52 38
7 119 62 53
8.5 186 101 96
7.5 50 42 49
7.5 117 152 56
5 219 107 102
7 246 77 40
8 279 154 100
5.5 148 103 67
8.5 137 96 78
7.5 130 154 62
7 98 57 59
8 226 112 96
8.5 234 143 86
3.5 138 49 38
6.5 85 110 43
6.5 66 131 23
10.5 236 167 77
8.5 106 56 48
8 135 137 26
10 122 86 91
10 218 121 94
9.5 199 149 62
9 112 168 74
10 278 140 114
7.5 94 88 52
4.5 113 168 64
4.5 84 94 31
0.5 86 51 38
6.5 62 48 27
4.5 222 145 105
5.5 167 66 64
5 82 85 62
6 207 109 65
4 184 63 58
8 83 102 76
10.5 183 162 140
8.5 85 128 48
8 225 114 80
8.5 237 164 71
5.5 102 119 76
7 221 126 63
5 128 132 46
3.5 91 142 53
5 198 83 74
9 204 94 70
8.5 158 81 78
5 138 166 56
9.5 226 110 100
3 44 64 51
1.5 196 93 52
6 83 104 102
0.5 79 105 78
6.5 52 49 78
7.5 105 88 55
4.5 116 95 98
8 83 102 76
9 196 99 73
7.5 153 63 47
8.5 157 76 45
7 75 109 83
9.5 106 117 60
6.5 58 57 48
9.5 75 120 50
6 74 73 56
8 185 91 77
9.5 265 108 91
8 131 105 76
8 139 117 68
9 196 119 74
5 78 31 29

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time10 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 10 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266113&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]10 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266113&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266113&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 time10 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Multiple Linear Regression - Estimated Regression Equation
Ex[t] = + 4.39793 + 0.0166048BB[t] -0.00215072LFM[t] -0.00236978HRFC[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Ex[t] =  +  4.39793 +  0.0166048BB[t] -0.00215072LFM[t] -0.00236978HRFC[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266113&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Ex[t] =  +  4.39793 +  0.0166048BB[t] -0.00215072LFM[t] -0.00236978HRFC[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266113&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266113&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
Ex[t] = + 4.39793 + 0.0166048BB[t] -0.00215072LFM[t] -0.00236978HRFC[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)4.397930.456479.6354.14226e-192.07113e-19
BB0.01660480.002230087.4461.25462e-126.27309e-13
LFM-0.002150720.00402631-0.53420.5936580.296829
HRFC-0.002369780.00564671-0.41970.6750530.337526

\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) & 4.39793 & 0.45647 & 9.635 & 4.14226e-19 & 2.07113e-19 \tabularnewline
BB & 0.0166048 & 0.00223008 & 7.446 & 1.25462e-12 & 6.27309e-13 \tabularnewline
LFM & -0.00215072 & 0.00402631 & -0.5342 & 0.593658 & 0.296829 \tabularnewline
HRFC & -0.00236978 & 0.00564671 & -0.4197 & 0.675053 & 0.337526 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266113&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]4.39793[/C][C]0.45647[/C][C]9.635[/C][C]4.14226e-19[/C][C]2.07113e-19[/C][/ROW]
[ROW][C]BB[/C][C]0.0166048[/C][C]0.00223008[/C][C]7.446[/C][C]1.25462e-12[/C][C]6.27309e-13[/C][/ROW]
[ROW][C]LFM[/C][C]-0.00215072[/C][C]0.00402631[/C][C]-0.5342[/C][C]0.593658[/C][C]0.296829[/C][/ROW]
[ROW][C]HRFC[/C][C]-0.00236978[/C][C]0.00564671[/C][C]-0.4197[/C][C]0.675053[/C][C]0.337526[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266113&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266113&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)4.397930.456479.6354.14226e-192.07113e-19
BB0.01660480.002230087.4461.25462e-126.27309e-13
LFM-0.002150720.00402631-0.53420.5936580.296829
HRFC-0.002369780.00564671-0.41970.6750530.337526






Multiple Linear Regression - Regression Statistics
Multiple R0.438714
R-squared0.19247
Adjusted R-squared0.183629
F-TEST (value)21.7688
F-TEST (DF numerator)3
F-TEST (DF denominator)274
p-value1.12554e-12
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.2804
Sum Squared Residuals1424.86

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.438714 \tabularnewline
R-squared & 0.19247 \tabularnewline
Adjusted R-squared & 0.183629 \tabularnewline
F-TEST (value) & 21.7688 \tabularnewline
F-TEST (DF numerator) & 3 \tabularnewline
F-TEST (DF denominator) & 274 \tabularnewline
p-value & 1.12554e-12 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.2804 \tabularnewline
Sum Squared Residuals & 1424.86 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266113&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.438714[/C][/ROW]
[ROW][C]R-squared[/C][C]0.19247[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.183629[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]21.7688[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]3[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]274[/C][/ROW]
[ROW][C]p-value[/C][C]1.12554e-12[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]2.2804[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]1424.86[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266113&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266113&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 R0.438714
R-squared0.19247
Adjusted R-squared0.183629
F-TEST (value)21.7688
F-TEST (DF numerator)3
F-TEST (DF denominator)274
p-value1.12554e-12
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.2804
Sum Squared Residuals1424.86






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
17.55.467742.03226
265.095440.904564
36.55.37261.1274
415.69513-4.69513
515.11671-4.11671
65.56.55662-1.05662
78.55.719052.78095
86.55.875590.624409
94.55.51992-1.01992
1026.47748-4.47748
1155.77964-0.779642
120.56.82683-6.32683
1355.25942-0.259424
1456.01233-1.01233
152.54.76817-2.26817
1655.39553-0.395527
175.56.28693-0.786927
183.55.57366-2.07366
1935.5481-2.5481
2045.37136-1.37136
210.55.06766-4.56766
226.55.432051.06795
234.55.51213-1.01213
247.55.179932.32007
255.55.69787-0.197869
2646.44954-2.44954
277.55.90661.5934
2875.322231.67777
2944.97929-0.979292
305.55.463830.0361741
312.55.77576-3.27576
325.56.0694-0.569399
333.55.65606-2.15606
342.56.38617-3.88617
354.55.96326-1.46326
364.56.09433-1.59433
374.55.22141-0.721408
3865.7460.254004
392.55.16795-2.66795
4056.62238-1.62238
4104.81405-4.81405
4256.38488-1.38488
436.55.05791.4421
4455.66294-0.662937
4565.165460.834537
464.55.75611-1.25611
475.56.02107-0.521073
4815.15583-4.15583
497.54.701222.79878
5065.061640.938355
5155.5956-0.595603
5215.67167-4.67167
5356.05572-1.05572
546.55.672980.827015
5576.366220.633781
564.56.43531-1.93531
5705.32306-5.32306
588.55.536442.96356
593.54.67212-1.17212
607.55.671831.82817
613.55.75102-2.25102
6264.858561.14144
631.55.09367-3.59367
6496.017992.98201
653.54.66226-1.16226
663.55.12668-1.62668
6746.206-2.206
686.55.996970.503027
697.55.329322.17068
7065.106660.893338
7155.80378-0.803779
725.55.102020.397981
733.55.5891-2.0891
747.55.150742.34926
756.56.030080.469921
766.56.23210.267896
776.55.157351.34265
7876.931190.0688129
793.55.43211-1.93211
801.55.37607-3.87607
8144.92224-0.92224
827.54.793782.70622
834.55.78846-1.28846
8404.6662-4.6662
853.54.92913-1.42913
865.55.50807-0.00806809
8754.985140.0148616
884.55.10003-0.600025
892.54.6578-2.1578
907.54.911422.58858
9175.031171.96883
9205.12067-5.12067
934.55.22609-0.726092
9435.71899-2.71899
951.55.54175-4.04175
963.54.64303-1.14303
972.55.68793-3.18793
985.55.105270.394734
9985.441432.55857
10014.76408-3.76408
10155.42407-0.424071
1024.55.54029-1.04029
10334.85118-1.85118
10434.8515-1.8515
10585.633862.36614
1062.54.7172-2.2172
10774.911232.08877
10805.08542-5.08542
10915.11166-4.11166
1103.54.88708-1.38708
1115.54.870140.629864
1125.54.730680.769317
1130.54.89492-4.39492
1147.56.570150.929854
11596.931522.06848
1169.57.091342.40866
1178.58.186960.313042
11874.778352.22165
119810.9858-2.98584
120107.26322.7368
12179.20871-2.20871
1228.55.160043.33996
12398.731330.268673
1249.55.654373.84563
12547.32135-3.32135
12666.67376-0.673757
12787.260940.739061
1285.58.69053-3.19053
1299.57.506321.99368
1307.55.838951.66105
13175.481241.51876
1327.58.67145-1.17145
13386.432531.56747
13476.89210.107896
13576.122570.877431
13667.47393-1.47393
137106.633273.36673
1382.56.38581-3.88581
13998.760490.239513
14089.23477-1.23477
14165.481180.518819
1428.55.086913.41309
14366.21139-0.211394
14498.055330.944674
14586.395081.60492
14697.179531.82047
1475.56.06856-0.568557
14855.51975-0.519752
1495.58.94381-3.44381
15097.643291.35671
15127.04719-5.04719
1528.56.883311.61669
15397.402541.59746
1548.58.340670.159327
15596.315522.68448
1567.57.041340.458663
157107.782252.21775
15897.141571.85843
1597.58.87373-1.37373
16066.04978-0.0497794
16110.56.189144.31086
1628.59.16628-0.666285
16386.412431.58757
164105.942674.05733
16510.56.756433.74357
1666.54.971161.52884
1679.57.855261.64474
1688.54.760873.73913
1697.57.74597-0.245971
17057.19639-2.19639
17187.549080.450917
172106.352133.64787
17375.845531.15447
1747.57.61322-0.113218
1757.57.61322-0.113218
1769.56.611942.88806
17766.68014-0.680144
178108.029211.97079
17975.972321.02768
18036.19511-3.19511
18167.00849-1.00849
18276.43170.568304
183108.391541.60846
18476.859670.140335
1853.55.37468-1.87468
18686.744791.25521
187105.736124.26388
1885.55.74676-0.24676
18964.039251.96075
1906.56.453950.0460477
1916.55.727860.77214
1928.56.163362.33664
19345.37614-1.37614
1949.56.33463.1654
19585.985452.01455
1968.57.483791.01621
1975.58.3171-2.8171
19876.948850.05115
19995.338123.66188
20086.049751.95025
201107.872262.12774
20285.999372.00063
20366.14907-0.149072
20487.514840.485159
20555.5447-0.544701
20695.360893.63911
2074.56.99106-2.49106
2088.55.574252.92575
20976.114970.885035
2108.57.041711.45829
2117.55.021732.47827
2127.55.881081.61892
21357.56255-2.56255
21478.22233-1.22233
21588.46249-0.462492
2165.56.47515-0.975149
2178.56.281482.21852
2187.56.078421.42158
21975.76281.2372
22087.682250.317754
2218.57.772110.72789
2223.56.49396-2.99396
2236.55.470861.02914
2246.55.15761.3424
22510.57.775032.72497
2268.55.923862.57614
22786.283321.71668
228106.023113.97689
229107.534792.46521
2309.57.234912.26509
23195.720993.27901
232108.442821.55718
2337.55.64631.8537
2344.55.76129-1.26129
2354.55.51711-1.01711
2360.55.62621-5.12621
2376.55.260211.23979
2384.57.52352-3.02352
2395.56.87733-1.37733
24055.42979-0.429792
24167.44667-1.44667
24247.18028-3.18028
24385.376662.62334
24410.56.756433.74357
2458.55.42033.0797
24687.699260.300744
2478.57.812310.687694
2485.55.65559-0.155587
24977.64731-0.647314
25056.13045-1.13045
2513.55.47797-1.97797
25257.33182-2.33182
25397.417271.58273
2548.56.662451.83755
25556.19967-1.19967
2569.57.677071.82293
25734.87004-1.87004
2581.57.32923-5.82923
25965.310740.689258
2600.55.29905-4.79905
2616.54.971161.52884
2627.55.821841.67816
2634.55.88754-1.38754
26485.376662.62334
26597.266571.73343
2667.56.69160.808402
2678.56.73481.7652
26875.212181.78782
2699.55.764223.73578
2706.55.124671.37533
2719.55.266724.23328
27265.336980.66302
27387.091640.908361
2749.58.350291.14971
27586.167241.83276
27686.293231.70677
27797.221181.77882
27855.55771-0.557714

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 7.5 & 5.46774 & 2.03226 \tabularnewline
2 & 6 & 5.09544 & 0.904564 \tabularnewline
3 & 6.5 & 5.3726 & 1.1274 \tabularnewline
4 & 1 & 5.69513 & -4.69513 \tabularnewline
5 & 1 & 5.11671 & -4.11671 \tabularnewline
6 & 5.5 & 6.55662 & -1.05662 \tabularnewline
7 & 8.5 & 5.71905 & 2.78095 \tabularnewline
8 & 6.5 & 5.87559 & 0.624409 \tabularnewline
9 & 4.5 & 5.51992 & -1.01992 \tabularnewline
10 & 2 & 6.47748 & -4.47748 \tabularnewline
11 & 5 & 5.77964 & -0.779642 \tabularnewline
12 & 0.5 & 6.82683 & -6.32683 \tabularnewline
13 & 5 & 5.25942 & -0.259424 \tabularnewline
14 & 5 & 6.01233 & -1.01233 \tabularnewline
15 & 2.5 & 4.76817 & -2.26817 \tabularnewline
16 & 5 & 5.39553 & -0.395527 \tabularnewline
17 & 5.5 & 6.28693 & -0.786927 \tabularnewline
18 & 3.5 & 5.57366 & -2.07366 \tabularnewline
19 & 3 & 5.5481 & -2.5481 \tabularnewline
20 & 4 & 5.37136 & -1.37136 \tabularnewline
21 & 0.5 & 5.06766 & -4.56766 \tabularnewline
22 & 6.5 & 5.43205 & 1.06795 \tabularnewline
23 & 4.5 & 5.51213 & -1.01213 \tabularnewline
24 & 7.5 & 5.17993 & 2.32007 \tabularnewline
25 & 5.5 & 5.69787 & -0.197869 \tabularnewline
26 & 4 & 6.44954 & -2.44954 \tabularnewline
27 & 7.5 & 5.9066 & 1.5934 \tabularnewline
28 & 7 & 5.32223 & 1.67777 \tabularnewline
29 & 4 & 4.97929 & -0.979292 \tabularnewline
30 & 5.5 & 5.46383 & 0.0361741 \tabularnewline
31 & 2.5 & 5.77576 & -3.27576 \tabularnewline
32 & 5.5 & 6.0694 & -0.569399 \tabularnewline
33 & 3.5 & 5.65606 & -2.15606 \tabularnewline
34 & 2.5 & 6.38617 & -3.88617 \tabularnewline
35 & 4.5 & 5.96326 & -1.46326 \tabularnewline
36 & 4.5 & 6.09433 & -1.59433 \tabularnewline
37 & 4.5 & 5.22141 & -0.721408 \tabularnewline
38 & 6 & 5.746 & 0.254004 \tabularnewline
39 & 2.5 & 5.16795 & -2.66795 \tabularnewline
40 & 5 & 6.62238 & -1.62238 \tabularnewline
41 & 0 & 4.81405 & -4.81405 \tabularnewline
42 & 5 & 6.38488 & -1.38488 \tabularnewline
43 & 6.5 & 5.0579 & 1.4421 \tabularnewline
44 & 5 & 5.66294 & -0.662937 \tabularnewline
45 & 6 & 5.16546 & 0.834537 \tabularnewline
46 & 4.5 & 5.75611 & -1.25611 \tabularnewline
47 & 5.5 & 6.02107 & -0.521073 \tabularnewline
48 & 1 & 5.15583 & -4.15583 \tabularnewline
49 & 7.5 & 4.70122 & 2.79878 \tabularnewline
50 & 6 & 5.06164 & 0.938355 \tabularnewline
51 & 5 & 5.5956 & -0.595603 \tabularnewline
52 & 1 & 5.67167 & -4.67167 \tabularnewline
53 & 5 & 6.05572 & -1.05572 \tabularnewline
54 & 6.5 & 5.67298 & 0.827015 \tabularnewline
55 & 7 & 6.36622 & 0.633781 \tabularnewline
56 & 4.5 & 6.43531 & -1.93531 \tabularnewline
57 & 0 & 5.32306 & -5.32306 \tabularnewline
58 & 8.5 & 5.53644 & 2.96356 \tabularnewline
59 & 3.5 & 4.67212 & -1.17212 \tabularnewline
60 & 7.5 & 5.67183 & 1.82817 \tabularnewline
61 & 3.5 & 5.75102 & -2.25102 \tabularnewline
62 & 6 & 4.85856 & 1.14144 \tabularnewline
63 & 1.5 & 5.09367 & -3.59367 \tabularnewline
64 & 9 & 6.01799 & 2.98201 \tabularnewline
65 & 3.5 & 4.66226 & -1.16226 \tabularnewline
66 & 3.5 & 5.12668 & -1.62668 \tabularnewline
67 & 4 & 6.206 & -2.206 \tabularnewline
68 & 6.5 & 5.99697 & 0.503027 \tabularnewline
69 & 7.5 & 5.32932 & 2.17068 \tabularnewline
70 & 6 & 5.10666 & 0.893338 \tabularnewline
71 & 5 & 5.80378 & -0.803779 \tabularnewline
72 & 5.5 & 5.10202 & 0.397981 \tabularnewline
73 & 3.5 & 5.5891 & -2.0891 \tabularnewline
74 & 7.5 & 5.15074 & 2.34926 \tabularnewline
75 & 6.5 & 6.03008 & 0.469921 \tabularnewline
76 & 6.5 & 6.2321 & 0.267896 \tabularnewline
77 & 6.5 & 5.15735 & 1.34265 \tabularnewline
78 & 7 & 6.93119 & 0.0688129 \tabularnewline
79 & 3.5 & 5.43211 & -1.93211 \tabularnewline
80 & 1.5 & 5.37607 & -3.87607 \tabularnewline
81 & 4 & 4.92224 & -0.92224 \tabularnewline
82 & 7.5 & 4.79378 & 2.70622 \tabularnewline
83 & 4.5 & 5.78846 & -1.28846 \tabularnewline
84 & 0 & 4.6662 & -4.6662 \tabularnewline
85 & 3.5 & 4.92913 & -1.42913 \tabularnewline
86 & 5.5 & 5.50807 & -0.00806809 \tabularnewline
87 & 5 & 4.98514 & 0.0148616 \tabularnewline
88 & 4.5 & 5.10003 & -0.600025 \tabularnewline
89 & 2.5 & 4.6578 & -2.1578 \tabularnewline
90 & 7.5 & 4.91142 & 2.58858 \tabularnewline
91 & 7 & 5.03117 & 1.96883 \tabularnewline
92 & 0 & 5.12067 & -5.12067 \tabularnewline
93 & 4.5 & 5.22609 & -0.726092 \tabularnewline
94 & 3 & 5.71899 & -2.71899 \tabularnewline
95 & 1.5 & 5.54175 & -4.04175 \tabularnewline
96 & 3.5 & 4.64303 & -1.14303 \tabularnewline
97 & 2.5 & 5.68793 & -3.18793 \tabularnewline
98 & 5.5 & 5.10527 & 0.394734 \tabularnewline
99 & 8 & 5.44143 & 2.55857 \tabularnewline
100 & 1 & 4.76408 & -3.76408 \tabularnewline
101 & 5 & 5.42407 & -0.424071 \tabularnewline
102 & 4.5 & 5.54029 & -1.04029 \tabularnewline
103 & 3 & 4.85118 & -1.85118 \tabularnewline
104 & 3 & 4.8515 & -1.8515 \tabularnewline
105 & 8 & 5.63386 & 2.36614 \tabularnewline
106 & 2.5 & 4.7172 & -2.2172 \tabularnewline
107 & 7 & 4.91123 & 2.08877 \tabularnewline
108 & 0 & 5.08542 & -5.08542 \tabularnewline
109 & 1 & 5.11166 & -4.11166 \tabularnewline
110 & 3.5 & 4.88708 & -1.38708 \tabularnewline
111 & 5.5 & 4.87014 & 0.629864 \tabularnewline
112 & 5.5 & 4.73068 & 0.769317 \tabularnewline
113 & 0.5 & 4.89492 & -4.39492 \tabularnewline
114 & 7.5 & 6.57015 & 0.929854 \tabularnewline
115 & 9 & 6.93152 & 2.06848 \tabularnewline
116 & 9.5 & 7.09134 & 2.40866 \tabularnewline
117 & 8.5 & 8.18696 & 0.313042 \tabularnewline
118 & 7 & 4.77835 & 2.22165 \tabularnewline
119 & 8 & 10.9858 & -2.98584 \tabularnewline
120 & 10 & 7.2632 & 2.7368 \tabularnewline
121 & 7 & 9.20871 & -2.20871 \tabularnewline
122 & 8.5 & 5.16004 & 3.33996 \tabularnewline
123 & 9 & 8.73133 & 0.268673 \tabularnewline
124 & 9.5 & 5.65437 & 3.84563 \tabularnewline
125 & 4 & 7.32135 & -3.32135 \tabularnewline
126 & 6 & 6.67376 & -0.673757 \tabularnewline
127 & 8 & 7.26094 & 0.739061 \tabularnewline
128 & 5.5 & 8.69053 & -3.19053 \tabularnewline
129 & 9.5 & 7.50632 & 1.99368 \tabularnewline
130 & 7.5 & 5.83895 & 1.66105 \tabularnewline
131 & 7 & 5.48124 & 1.51876 \tabularnewline
132 & 7.5 & 8.67145 & -1.17145 \tabularnewline
133 & 8 & 6.43253 & 1.56747 \tabularnewline
134 & 7 & 6.8921 & 0.107896 \tabularnewline
135 & 7 & 6.12257 & 0.877431 \tabularnewline
136 & 6 & 7.47393 & -1.47393 \tabularnewline
137 & 10 & 6.63327 & 3.36673 \tabularnewline
138 & 2.5 & 6.38581 & -3.88581 \tabularnewline
139 & 9 & 8.76049 & 0.239513 \tabularnewline
140 & 8 & 9.23477 & -1.23477 \tabularnewline
141 & 6 & 5.48118 & 0.518819 \tabularnewline
142 & 8.5 & 5.08691 & 3.41309 \tabularnewline
143 & 6 & 6.21139 & -0.211394 \tabularnewline
144 & 9 & 8.05533 & 0.944674 \tabularnewline
145 & 8 & 6.39508 & 1.60492 \tabularnewline
146 & 9 & 7.17953 & 1.82047 \tabularnewline
147 & 5.5 & 6.06856 & -0.568557 \tabularnewline
148 & 5 & 5.51975 & -0.519752 \tabularnewline
149 & 5.5 & 8.94381 & -3.44381 \tabularnewline
150 & 9 & 7.64329 & 1.35671 \tabularnewline
151 & 2 & 7.04719 & -5.04719 \tabularnewline
152 & 8.5 & 6.88331 & 1.61669 \tabularnewline
153 & 9 & 7.40254 & 1.59746 \tabularnewline
154 & 8.5 & 8.34067 & 0.159327 \tabularnewline
155 & 9 & 6.31552 & 2.68448 \tabularnewline
156 & 7.5 & 7.04134 & 0.458663 \tabularnewline
157 & 10 & 7.78225 & 2.21775 \tabularnewline
158 & 9 & 7.14157 & 1.85843 \tabularnewline
159 & 7.5 & 8.87373 & -1.37373 \tabularnewline
160 & 6 & 6.04978 & -0.0497794 \tabularnewline
161 & 10.5 & 6.18914 & 4.31086 \tabularnewline
162 & 8.5 & 9.16628 & -0.666285 \tabularnewline
163 & 8 & 6.41243 & 1.58757 \tabularnewline
164 & 10 & 5.94267 & 4.05733 \tabularnewline
165 & 10.5 & 6.75643 & 3.74357 \tabularnewline
166 & 6.5 & 4.97116 & 1.52884 \tabularnewline
167 & 9.5 & 7.85526 & 1.64474 \tabularnewline
168 & 8.5 & 4.76087 & 3.73913 \tabularnewline
169 & 7.5 & 7.74597 & -0.245971 \tabularnewline
170 & 5 & 7.19639 & -2.19639 \tabularnewline
171 & 8 & 7.54908 & 0.450917 \tabularnewline
172 & 10 & 6.35213 & 3.64787 \tabularnewline
173 & 7 & 5.84553 & 1.15447 \tabularnewline
174 & 7.5 & 7.61322 & -0.113218 \tabularnewline
175 & 7.5 & 7.61322 & -0.113218 \tabularnewline
176 & 9.5 & 6.61194 & 2.88806 \tabularnewline
177 & 6 & 6.68014 & -0.680144 \tabularnewline
178 & 10 & 8.02921 & 1.97079 \tabularnewline
179 & 7 & 5.97232 & 1.02768 \tabularnewline
180 & 3 & 6.19511 & -3.19511 \tabularnewline
181 & 6 & 7.00849 & -1.00849 \tabularnewline
182 & 7 & 6.4317 & 0.568304 \tabularnewline
183 & 10 & 8.39154 & 1.60846 \tabularnewline
184 & 7 & 6.85967 & 0.140335 \tabularnewline
185 & 3.5 & 5.37468 & -1.87468 \tabularnewline
186 & 8 & 6.74479 & 1.25521 \tabularnewline
187 & 10 & 5.73612 & 4.26388 \tabularnewline
188 & 5.5 & 5.74676 & -0.24676 \tabularnewline
189 & 6 & 4.03925 & 1.96075 \tabularnewline
190 & 6.5 & 6.45395 & 0.0460477 \tabularnewline
191 & 6.5 & 5.72786 & 0.77214 \tabularnewline
192 & 8.5 & 6.16336 & 2.33664 \tabularnewline
193 & 4 & 5.37614 & -1.37614 \tabularnewline
194 & 9.5 & 6.3346 & 3.1654 \tabularnewline
195 & 8 & 5.98545 & 2.01455 \tabularnewline
196 & 8.5 & 7.48379 & 1.01621 \tabularnewline
197 & 5.5 & 8.3171 & -2.8171 \tabularnewline
198 & 7 & 6.94885 & 0.05115 \tabularnewline
199 & 9 & 5.33812 & 3.66188 \tabularnewline
200 & 8 & 6.04975 & 1.95025 \tabularnewline
201 & 10 & 7.87226 & 2.12774 \tabularnewline
202 & 8 & 5.99937 & 2.00063 \tabularnewline
203 & 6 & 6.14907 & -0.149072 \tabularnewline
204 & 8 & 7.51484 & 0.485159 \tabularnewline
205 & 5 & 5.5447 & -0.544701 \tabularnewline
206 & 9 & 5.36089 & 3.63911 \tabularnewline
207 & 4.5 & 6.99106 & -2.49106 \tabularnewline
208 & 8.5 & 5.57425 & 2.92575 \tabularnewline
209 & 7 & 6.11497 & 0.885035 \tabularnewline
210 & 8.5 & 7.04171 & 1.45829 \tabularnewline
211 & 7.5 & 5.02173 & 2.47827 \tabularnewline
212 & 7.5 & 5.88108 & 1.61892 \tabularnewline
213 & 5 & 7.56255 & -2.56255 \tabularnewline
214 & 7 & 8.22233 & -1.22233 \tabularnewline
215 & 8 & 8.46249 & -0.462492 \tabularnewline
216 & 5.5 & 6.47515 & -0.975149 \tabularnewline
217 & 8.5 & 6.28148 & 2.21852 \tabularnewline
218 & 7.5 & 6.07842 & 1.42158 \tabularnewline
219 & 7 & 5.7628 & 1.2372 \tabularnewline
220 & 8 & 7.68225 & 0.317754 \tabularnewline
221 & 8.5 & 7.77211 & 0.72789 \tabularnewline
222 & 3.5 & 6.49396 & -2.99396 \tabularnewline
223 & 6.5 & 5.47086 & 1.02914 \tabularnewline
224 & 6.5 & 5.1576 & 1.3424 \tabularnewline
225 & 10.5 & 7.77503 & 2.72497 \tabularnewline
226 & 8.5 & 5.92386 & 2.57614 \tabularnewline
227 & 8 & 6.28332 & 1.71668 \tabularnewline
228 & 10 & 6.02311 & 3.97689 \tabularnewline
229 & 10 & 7.53479 & 2.46521 \tabularnewline
230 & 9.5 & 7.23491 & 2.26509 \tabularnewline
231 & 9 & 5.72099 & 3.27901 \tabularnewline
232 & 10 & 8.44282 & 1.55718 \tabularnewline
233 & 7.5 & 5.6463 & 1.8537 \tabularnewline
234 & 4.5 & 5.76129 & -1.26129 \tabularnewline
235 & 4.5 & 5.51711 & -1.01711 \tabularnewline
236 & 0.5 & 5.62621 & -5.12621 \tabularnewline
237 & 6.5 & 5.26021 & 1.23979 \tabularnewline
238 & 4.5 & 7.52352 & -3.02352 \tabularnewline
239 & 5.5 & 6.87733 & -1.37733 \tabularnewline
240 & 5 & 5.42979 & -0.429792 \tabularnewline
241 & 6 & 7.44667 & -1.44667 \tabularnewline
242 & 4 & 7.18028 & -3.18028 \tabularnewline
243 & 8 & 5.37666 & 2.62334 \tabularnewline
244 & 10.5 & 6.75643 & 3.74357 \tabularnewline
245 & 8.5 & 5.4203 & 3.0797 \tabularnewline
246 & 8 & 7.69926 & 0.300744 \tabularnewline
247 & 8.5 & 7.81231 & 0.687694 \tabularnewline
248 & 5.5 & 5.65559 & -0.155587 \tabularnewline
249 & 7 & 7.64731 & -0.647314 \tabularnewline
250 & 5 & 6.13045 & -1.13045 \tabularnewline
251 & 3.5 & 5.47797 & -1.97797 \tabularnewline
252 & 5 & 7.33182 & -2.33182 \tabularnewline
253 & 9 & 7.41727 & 1.58273 \tabularnewline
254 & 8.5 & 6.66245 & 1.83755 \tabularnewline
255 & 5 & 6.19967 & -1.19967 \tabularnewline
256 & 9.5 & 7.67707 & 1.82293 \tabularnewline
257 & 3 & 4.87004 & -1.87004 \tabularnewline
258 & 1.5 & 7.32923 & -5.82923 \tabularnewline
259 & 6 & 5.31074 & 0.689258 \tabularnewline
260 & 0.5 & 5.29905 & -4.79905 \tabularnewline
261 & 6.5 & 4.97116 & 1.52884 \tabularnewline
262 & 7.5 & 5.82184 & 1.67816 \tabularnewline
263 & 4.5 & 5.88754 & -1.38754 \tabularnewline
264 & 8 & 5.37666 & 2.62334 \tabularnewline
265 & 9 & 7.26657 & 1.73343 \tabularnewline
266 & 7.5 & 6.6916 & 0.808402 \tabularnewline
267 & 8.5 & 6.7348 & 1.7652 \tabularnewline
268 & 7 & 5.21218 & 1.78782 \tabularnewline
269 & 9.5 & 5.76422 & 3.73578 \tabularnewline
270 & 6.5 & 5.12467 & 1.37533 \tabularnewline
271 & 9.5 & 5.26672 & 4.23328 \tabularnewline
272 & 6 & 5.33698 & 0.66302 \tabularnewline
273 & 8 & 7.09164 & 0.908361 \tabularnewline
274 & 9.5 & 8.35029 & 1.14971 \tabularnewline
275 & 8 & 6.16724 & 1.83276 \tabularnewline
276 & 8 & 6.29323 & 1.70677 \tabularnewline
277 & 9 & 7.22118 & 1.77882 \tabularnewline
278 & 5 & 5.55771 & -0.557714 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266113&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]7.5[/C][C]5.46774[/C][C]2.03226[/C][/ROW]
[ROW][C]2[/C][C]6[/C][C]5.09544[/C][C]0.904564[/C][/ROW]
[ROW][C]3[/C][C]6.5[/C][C]5.3726[/C][C]1.1274[/C][/ROW]
[ROW][C]4[/C][C]1[/C][C]5.69513[/C][C]-4.69513[/C][/ROW]
[ROW][C]5[/C][C]1[/C][C]5.11671[/C][C]-4.11671[/C][/ROW]
[ROW][C]6[/C][C]5.5[/C][C]6.55662[/C][C]-1.05662[/C][/ROW]
[ROW][C]7[/C][C]8.5[/C][C]5.71905[/C][C]2.78095[/C][/ROW]
[ROW][C]8[/C][C]6.5[/C][C]5.87559[/C][C]0.624409[/C][/ROW]
[ROW][C]9[/C][C]4.5[/C][C]5.51992[/C][C]-1.01992[/C][/ROW]
[ROW][C]10[/C][C]2[/C][C]6.47748[/C][C]-4.47748[/C][/ROW]
[ROW][C]11[/C][C]5[/C][C]5.77964[/C][C]-0.779642[/C][/ROW]
[ROW][C]12[/C][C]0.5[/C][C]6.82683[/C][C]-6.32683[/C][/ROW]
[ROW][C]13[/C][C]5[/C][C]5.25942[/C][C]-0.259424[/C][/ROW]
[ROW][C]14[/C][C]5[/C][C]6.01233[/C][C]-1.01233[/C][/ROW]
[ROW][C]15[/C][C]2.5[/C][C]4.76817[/C][C]-2.26817[/C][/ROW]
[ROW][C]16[/C][C]5[/C][C]5.39553[/C][C]-0.395527[/C][/ROW]
[ROW][C]17[/C][C]5.5[/C][C]6.28693[/C][C]-0.786927[/C][/ROW]
[ROW][C]18[/C][C]3.5[/C][C]5.57366[/C][C]-2.07366[/C][/ROW]
[ROW][C]19[/C][C]3[/C][C]5.5481[/C][C]-2.5481[/C][/ROW]
[ROW][C]20[/C][C]4[/C][C]5.37136[/C][C]-1.37136[/C][/ROW]
[ROW][C]21[/C][C]0.5[/C][C]5.06766[/C][C]-4.56766[/C][/ROW]
[ROW][C]22[/C][C]6.5[/C][C]5.43205[/C][C]1.06795[/C][/ROW]
[ROW][C]23[/C][C]4.5[/C][C]5.51213[/C][C]-1.01213[/C][/ROW]
[ROW][C]24[/C][C]7.5[/C][C]5.17993[/C][C]2.32007[/C][/ROW]
[ROW][C]25[/C][C]5.5[/C][C]5.69787[/C][C]-0.197869[/C][/ROW]
[ROW][C]26[/C][C]4[/C][C]6.44954[/C][C]-2.44954[/C][/ROW]
[ROW][C]27[/C][C]7.5[/C][C]5.9066[/C][C]1.5934[/C][/ROW]
[ROW][C]28[/C][C]7[/C][C]5.32223[/C][C]1.67777[/C][/ROW]
[ROW][C]29[/C][C]4[/C][C]4.97929[/C][C]-0.979292[/C][/ROW]
[ROW][C]30[/C][C]5.5[/C][C]5.46383[/C][C]0.0361741[/C][/ROW]
[ROW][C]31[/C][C]2.5[/C][C]5.77576[/C][C]-3.27576[/C][/ROW]
[ROW][C]32[/C][C]5.5[/C][C]6.0694[/C][C]-0.569399[/C][/ROW]
[ROW][C]33[/C][C]3.5[/C][C]5.65606[/C][C]-2.15606[/C][/ROW]
[ROW][C]34[/C][C]2.5[/C][C]6.38617[/C][C]-3.88617[/C][/ROW]
[ROW][C]35[/C][C]4.5[/C][C]5.96326[/C][C]-1.46326[/C][/ROW]
[ROW][C]36[/C][C]4.5[/C][C]6.09433[/C][C]-1.59433[/C][/ROW]
[ROW][C]37[/C][C]4.5[/C][C]5.22141[/C][C]-0.721408[/C][/ROW]
[ROW][C]38[/C][C]6[/C][C]5.746[/C][C]0.254004[/C][/ROW]
[ROW][C]39[/C][C]2.5[/C][C]5.16795[/C][C]-2.66795[/C][/ROW]
[ROW][C]40[/C][C]5[/C][C]6.62238[/C][C]-1.62238[/C][/ROW]
[ROW][C]41[/C][C]0[/C][C]4.81405[/C][C]-4.81405[/C][/ROW]
[ROW][C]42[/C][C]5[/C][C]6.38488[/C][C]-1.38488[/C][/ROW]
[ROW][C]43[/C][C]6.5[/C][C]5.0579[/C][C]1.4421[/C][/ROW]
[ROW][C]44[/C][C]5[/C][C]5.66294[/C][C]-0.662937[/C][/ROW]
[ROW][C]45[/C][C]6[/C][C]5.16546[/C][C]0.834537[/C][/ROW]
[ROW][C]46[/C][C]4.5[/C][C]5.75611[/C][C]-1.25611[/C][/ROW]
[ROW][C]47[/C][C]5.5[/C][C]6.02107[/C][C]-0.521073[/C][/ROW]
[ROW][C]48[/C][C]1[/C][C]5.15583[/C][C]-4.15583[/C][/ROW]
[ROW][C]49[/C][C]7.5[/C][C]4.70122[/C][C]2.79878[/C][/ROW]
[ROW][C]50[/C][C]6[/C][C]5.06164[/C][C]0.938355[/C][/ROW]
[ROW][C]51[/C][C]5[/C][C]5.5956[/C][C]-0.595603[/C][/ROW]
[ROW][C]52[/C][C]1[/C][C]5.67167[/C][C]-4.67167[/C][/ROW]
[ROW][C]53[/C][C]5[/C][C]6.05572[/C][C]-1.05572[/C][/ROW]
[ROW][C]54[/C][C]6.5[/C][C]5.67298[/C][C]0.827015[/C][/ROW]
[ROW][C]55[/C][C]7[/C][C]6.36622[/C][C]0.633781[/C][/ROW]
[ROW][C]56[/C][C]4.5[/C][C]6.43531[/C][C]-1.93531[/C][/ROW]
[ROW][C]57[/C][C]0[/C][C]5.32306[/C][C]-5.32306[/C][/ROW]
[ROW][C]58[/C][C]8.5[/C][C]5.53644[/C][C]2.96356[/C][/ROW]
[ROW][C]59[/C][C]3.5[/C][C]4.67212[/C][C]-1.17212[/C][/ROW]
[ROW][C]60[/C][C]7.5[/C][C]5.67183[/C][C]1.82817[/C][/ROW]
[ROW][C]61[/C][C]3.5[/C][C]5.75102[/C][C]-2.25102[/C][/ROW]
[ROW][C]62[/C][C]6[/C][C]4.85856[/C][C]1.14144[/C][/ROW]
[ROW][C]63[/C][C]1.5[/C][C]5.09367[/C][C]-3.59367[/C][/ROW]
[ROW][C]64[/C][C]9[/C][C]6.01799[/C][C]2.98201[/C][/ROW]
[ROW][C]65[/C][C]3.5[/C][C]4.66226[/C][C]-1.16226[/C][/ROW]
[ROW][C]66[/C][C]3.5[/C][C]5.12668[/C][C]-1.62668[/C][/ROW]
[ROW][C]67[/C][C]4[/C][C]6.206[/C][C]-2.206[/C][/ROW]
[ROW][C]68[/C][C]6.5[/C][C]5.99697[/C][C]0.503027[/C][/ROW]
[ROW][C]69[/C][C]7.5[/C][C]5.32932[/C][C]2.17068[/C][/ROW]
[ROW][C]70[/C][C]6[/C][C]5.10666[/C][C]0.893338[/C][/ROW]
[ROW][C]71[/C][C]5[/C][C]5.80378[/C][C]-0.803779[/C][/ROW]
[ROW][C]72[/C][C]5.5[/C][C]5.10202[/C][C]0.397981[/C][/ROW]
[ROW][C]73[/C][C]3.5[/C][C]5.5891[/C][C]-2.0891[/C][/ROW]
[ROW][C]74[/C][C]7.5[/C][C]5.15074[/C][C]2.34926[/C][/ROW]
[ROW][C]75[/C][C]6.5[/C][C]6.03008[/C][C]0.469921[/C][/ROW]
[ROW][C]76[/C][C]6.5[/C][C]6.2321[/C][C]0.267896[/C][/ROW]
[ROW][C]77[/C][C]6.5[/C][C]5.15735[/C][C]1.34265[/C][/ROW]
[ROW][C]78[/C][C]7[/C][C]6.93119[/C][C]0.0688129[/C][/ROW]
[ROW][C]79[/C][C]3.5[/C][C]5.43211[/C][C]-1.93211[/C][/ROW]
[ROW][C]80[/C][C]1.5[/C][C]5.37607[/C][C]-3.87607[/C][/ROW]
[ROW][C]81[/C][C]4[/C][C]4.92224[/C][C]-0.92224[/C][/ROW]
[ROW][C]82[/C][C]7.5[/C][C]4.79378[/C][C]2.70622[/C][/ROW]
[ROW][C]83[/C][C]4.5[/C][C]5.78846[/C][C]-1.28846[/C][/ROW]
[ROW][C]84[/C][C]0[/C][C]4.6662[/C][C]-4.6662[/C][/ROW]
[ROW][C]85[/C][C]3.5[/C][C]4.92913[/C][C]-1.42913[/C][/ROW]
[ROW][C]86[/C][C]5.5[/C][C]5.50807[/C][C]-0.00806809[/C][/ROW]
[ROW][C]87[/C][C]5[/C][C]4.98514[/C][C]0.0148616[/C][/ROW]
[ROW][C]88[/C][C]4.5[/C][C]5.10003[/C][C]-0.600025[/C][/ROW]
[ROW][C]89[/C][C]2.5[/C][C]4.6578[/C][C]-2.1578[/C][/ROW]
[ROW][C]90[/C][C]7.5[/C][C]4.91142[/C][C]2.58858[/C][/ROW]
[ROW][C]91[/C][C]7[/C][C]5.03117[/C][C]1.96883[/C][/ROW]
[ROW][C]92[/C][C]0[/C][C]5.12067[/C][C]-5.12067[/C][/ROW]
[ROW][C]93[/C][C]4.5[/C][C]5.22609[/C][C]-0.726092[/C][/ROW]
[ROW][C]94[/C][C]3[/C][C]5.71899[/C][C]-2.71899[/C][/ROW]
[ROW][C]95[/C][C]1.5[/C][C]5.54175[/C][C]-4.04175[/C][/ROW]
[ROW][C]96[/C][C]3.5[/C][C]4.64303[/C][C]-1.14303[/C][/ROW]
[ROW][C]97[/C][C]2.5[/C][C]5.68793[/C][C]-3.18793[/C][/ROW]
[ROW][C]98[/C][C]5.5[/C][C]5.10527[/C][C]0.394734[/C][/ROW]
[ROW][C]99[/C][C]8[/C][C]5.44143[/C][C]2.55857[/C][/ROW]
[ROW][C]100[/C][C]1[/C][C]4.76408[/C][C]-3.76408[/C][/ROW]
[ROW][C]101[/C][C]5[/C][C]5.42407[/C][C]-0.424071[/C][/ROW]
[ROW][C]102[/C][C]4.5[/C][C]5.54029[/C][C]-1.04029[/C][/ROW]
[ROW][C]103[/C][C]3[/C][C]4.85118[/C][C]-1.85118[/C][/ROW]
[ROW][C]104[/C][C]3[/C][C]4.8515[/C][C]-1.8515[/C][/ROW]
[ROW][C]105[/C][C]8[/C][C]5.63386[/C][C]2.36614[/C][/ROW]
[ROW][C]106[/C][C]2.5[/C][C]4.7172[/C][C]-2.2172[/C][/ROW]
[ROW][C]107[/C][C]7[/C][C]4.91123[/C][C]2.08877[/C][/ROW]
[ROW][C]108[/C][C]0[/C][C]5.08542[/C][C]-5.08542[/C][/ROW]
[ROW][C]109[/C][C]1[/C][C]5.11166[/C][C]-4.11166[/C][/ROW]
[ROW][C]110[/C][C]3.5[/C][C]4.88708[/C][C]-1.38708[/C][/ROW]
[ROW][C]111[/C][C]5.5[/C][C]4.87014[/C][C]0.629864[/C][/ROW]
[ROW][C]112[/C][C]5.5[/C][C]4.73068[/C][C]0.769317[/C][/ROW]
[ROW][C]113[/C][C]0.5[/C][C]4.89492[/C][C]-4.39492[/C][/ROW]
[ROW][C]114[/C][C]7.5[/C][C]6.57015[/C][C]0.929854[/C][/ROW]
[ROW][C]115[/C][C]9[/C][C]6.93152[/C][C]2.06848[/C][/ROW]
[ROW][C]116[/C][C]9.5[/C][C]7.09134[/C][C]2.40866[/C][/ROW]
[ROW][C]117[/C][C]8.5[/C][C]8.18696[/C][C]0.313042[/C][/ROW]
[ROW][C]118[/C][C]7[/C][C]4.77835[/C][C]2.22165[/C][/ROW]
[ROW][C]119[/C][C]8[/C][C]10.9858[/C][C]-2.98584[/C][/ROW]
[ROW][C]120[/C][C]10[/C][C]7.2632[/C][C]2.7368[/C][/ROW]
[ROW][C]121[/C][C]7[/C][C]9.20871[/C][C]-2.20871[/C][/ROW]
[ROW][C]122[/C][C]8.5[/C][C]5.16004[/C][C]3.33996[/C][/ROW]
[ROW][C]123[/C][C]9[/C][C]8.73133[/C][C]0.268673[/C][/ROW]
[ROW][C]124[/C][C]9.5[/C][C]5.65437[/C][C]3.84563[/C][/ROW]
[ROW][C]125[/C][C]4[/C][C]7.32135[/C][C]-3.32135[/C][/ROW]
[ROW][C]126[/C][C]6[/C][C]6.67376[/C][C]-0.673757[/C][/ROW]
[ROW][C]127[/C][C]8[/C][C]7.26094[/C][C]0.739061[/C][/ROW]
[ROW][C]128[/C][C]5.5[/C][C]8.69053[/C][C]-3.19053[/C][/ROW]
[ROW][C]129[/C][C]9.5[/C][C]7.50632[/C][C]1.99368[/C][/ROW]
[ROW][C]130[/C][C]7.5[/C][C]5.83895[/C][C]1.66105[/C][/ROW]
[ROW][C]131[/C][C]7[/C][C]5.48124[/C][C]1.51876[/C][/ROW]
[ROW][C]132[/C][C]7.5[/C][C]8.67145[/C][C]-1.17145[/C][/ROW]
[ROW][C]133[/C][C]8[/C][C]6.43253[/C][C]1.56747[/C][/ROW]
[ROW][C]134[/C][C]7[/C][C]6.8921[/C][C]0.107896[/C][/ROW]
[ROW][C]135[/C][C]7[/C][C]6.12257[/C][C]0.877431[/C][/ROW]
[ROW][C]136[/C][C]6[/C][C]7.47393[/C][C]-1.47393[/C][/ROW]
[ROW][C]137[/C][C]10[/C][C]6.63327[/C][C]3.36673[/C][/ROW]
[ROW][C]138[/C][C]2.5[/C][C]6.38581[/C][C]-3.88581[/C][/ROW]
[ROW][C]139[/C][C]9[/C][C]8.76049[/C][C]0.239513[/C][/ROW]
[ROW][C]140[/C][C]8[/C][C]9.23477[/C][C]-1.23477[/C][/ROW]
[ROW][C]141[/C][C]6[/C][C]5.48118[/C][C]0.518819[/C][/ROW]
[ROW][C]142[/C][C]8.5[/C][C]5.08691[/C][C]3.41309[/C][/ROW]
[ROW][C]143[/C][C]6[/C][C]6.21139[/C][C]-0.211394[/C][/ROW]
[ROW][C]144[/C][C]9[/C][C]8.05533[/C][C]0.944674[/C][/ROW]
[ROW][C]145[/C][C]8[/C][C]6.39508[/C][C]1.60492[/C][/ROW]
[ROW][C]146[/C][C]9[/C][C]7.17953[/C][C]1.82047[/C][/ROW]
[ROW][C]147[/C][C]5.5[/C][C]6.06856[/C][C]-0.568557[/C][/ROW]
[ROW][C]148[/C][C]5[/C][C]5.51975[/C][C]-0.519752[/C][/ROW]
[ROW][C]149[/C][C]5.5[/C][C]8.94381[/C][C]-3.44381[/C][/ROW]
[ROW][C]150[/C][C]9[/C][C]7.64329[/C][C]1.35671[/C][/ROW]
[ROW][C]151[/C][C]2[/C][C]7.04719[/C][C]-5.04719[/C][/ROW]
[ROW][C]152[/C][C]8.5[/C][C]6.88331[/C][C]1.61669[/C][/ROW]
[ROW][C]153[/C][C]9[/C][C]7.40254[/C][C]1.59746[/C][/ROW]
[ROW][C]154[/C][C]8.5[/C][C]8.34067[/C][C]0.159327[/C][/ROW]
[ROW][C]155[/C][C]9[/C][C]6.31552[/C][C]2.68448[/C][/ROW]
[ROW][C]156[/C][C]7.5[/C][C]7.04134[/C][C]0.458663[/C][/ROW]
[ROW][C]157[/C][C]10[/C][C]7.78225[/C][C]2.21775[/C][/ROW]
[ROW][C]158[/C][C]9[/C][C]7.14157[/C][C]1.85843[/C][/ROW]
[ROW][C]159[/C][C]7.5[/C][C]8.87373[/C][C]-1.37373[/C][/ROW]
[ROW][C]160[/C][C]6[/C][C]6.04978[/C][C]-0.0497794[/C][/ROW]
[ROW][C]161[/C][C]10.5[/C][C]6.18914[/C][C]4.31086[/C][/ROW]
[ROW][C]162[/C][C]8.5[/C][C]9.16628[/C][C]-0.666285[/C][/ROW]
[ROW][C]163[/C][C]8[/C][C]6.41243[/C][C]1.58757[/C][/ROW]
[ROW][C]164[/C][C]10[/C][C]5.94267[/C][C]4.05733[/C][/ROW]
[ROW][C]165[/C][C]10.5[/C][C]6.75643[/C][C]3.74357[/C][/ROW]
[ROW][C]166[/C][C]6.5[/C][C]4.97116[/C][C]1.52884[/C][/ROW]
[ROW][C]167[/C][C]9.5[/C][C]7.85526[/C][C]1.64474[/C][/ROW]
[ROW][C]168[/C][C]8.5[/C][C]4.76087[/C][C]3.73913[/C][/ROW]
[ROW][C]169[/C][C]7.5[/C][C]7.74597[/C][C]-0.245971[/C][/ROW]
[ROW][C]170[/C][C]5[/C][C]7.19639[/C][C]-2.19639[/C][/ROW]
[ROW][C]171[/C][C]8[/C][C]7.54908[/C][C]0.450917[/C][/ROW]
[ROW][C]172[/C][C]10[/C][C]6.35213[/C][C]3.64787[/C][/ROW]
[ROW][C]173[/C][C]7[/C][C]5.84553[/C][C]1.15447[/C][/ROW]
[ROW][C]174[/C][C]7.5[/C][C]7.61322[/C][C]-0.113218[/C][/ROW]
[ROW][C]175[/C][C]7.5[/C][C]7.61322[/C][C]-0.113218[/C][/ROW]
[ROW][C]176[/C][C]9.5[/C][C]6.61194[/C][C]2.88806[/C][/ROW]
[ROW][C]177[/C][C]6[/C][C]6.68014[/C][C]-0.680144[/C][/ROW]
[ROW][C]178[/C][C]10[/C][C]8.02921[/C][C]1.97079[/C][/ROW]
[ROW][C]179[/C][C]7[/C][C]5.97232[/C][C]1.02768[/C][/ROW]
[ROW][C]180[/C][C]3[/C][C]6.19511[/C][C]-3.19511[/C][/ROW]
[ROW][C]181[/C][C]6[/C][C]7.00849[/C][C]-1.00849[/C][/ROW]
[ROW][C]182[/C][C]7[/C][C]6.4317[/C][C]0.568304[/C][/ROW]
[ROW][C]183[/C][C]10[/C][C]8.39154[/C][C]1.60846[/C][/ROW]
[ROW][C]184[/C][C]7[/C][C]6.85967[/C][C]0.140335[/C][/ROW]
[ROW][C]185[/C][C]3.5[/C][C]5.37468[/C][C]-1.87468[/C][/ROW]
[ROW][C]186[/C][C]8[/C][C]6.74479[/C][C]1.25521[/C][/ROW]
[ROW][C]187[/C][C]10[/C][C]5.73612[/C][C]4.26388[/C][/ROW]
[ROW][C]188[/C][C]5.5[/C][C]5.74676[/C][C]-0.24676[/C][/ROW]
[ROW][C]189[/C][C]6[/C][C]4.03925[/C][C]1.96075[/C][/ROW]
[ROW][C]190[/C][C]6.5[/C][C]6.45395[/C][C]0.0460477[/C][/ROW]
[ROW][C]191[/C][C]6.5[/C][C]5.72786[/C][C]0.77214[/C][/ROW]
[ROW][C]192[/C][C]8.5[/C][C]6.16336[/C][C]2.33664[/C][/ROW]
[ROW][C]193[/C][C]4[/C][C]5.37614[/C][C]-1.37614[/C][/ROW]
[ROW][C]194[/C][C]9.5[/C][C]6.3346[/C][C]3.1654[/C][/ROW]
[ROW][C]195[/C][C]8[/C][C]5.98545[/C][C]2.01455[/C][/ROW]
[ROW][C]196[/C][C]8.5[/C][C]7.48379[/C][C]1.01621[/C][/ROW]
[ROW][C]197[/C][C]5.5[/C][C]8.3171[/C][C]-2.8171[/C][/ROW]
[ROW][C]198[/C][C]7[/C][C]6.94885[/C][C]0.05115[/C][/ROW]
[ROW][C]199[/C][C]9[/C][C]5.33812[/C][C]3.66188[/C][/ROW]
[ROW][C]200[/C][C]8[/C][C]6.04975[/C][C]1.95025[/C][/ROW]
[ROW][C]201[/C][C]10[/C][C]7.87226[/C][C]2.12774[/C][/ROW]
[ROW][C]202[/C][C]8[/C][C]5.99937[/C][C]2.00063[/C][/ROW]
[ROW][C]203[/C][C]6[/C][C]6.14907[/C][C]-0.149072[/C][/ROW]
[ROW][C]204[/C][C]8[/C][C]7.51484[/C][C]0.485159[/C][/ROW]
[ROW][C]205[/C][C]5[/C][C]5.5447[/C][C]-0.544701[/C][/ROW]
[ROW][C]206[/C][C]9[/C][C]5.36089[/C][C]3.63911[/C][/ROW]
[ROW][C]207[/C][C]4.5[/C][C]6.99106[/C][C]-2.49106[/C][/ROW]
[ROW][C]208[/C][C]8.5[/C][C]5.57425[/C][C]2.92575[/C][/ROW]
[ROW][C]209[/C][C]7[/C][C]6.11497[/C][C]0.885035[/C][/ROW]
[ROW][C]210[/C][C]8.5[/C][C]7.04171[/C][C]1.45829[/C][/ROW]
[ROW][C]211[/C][C]7.5[/C][C]5.02173[/C][C]2.47827[/C][/ROW]
[ROW][C]212[/C][C]7.5[/C][C]5.88108[/C][C]1.61892[/C][/ROW]
[ROW][C]213[/C][C]5[/C][C]7.56255[/C][C]-2.56255[/C][/ROW]
[ROW][C]214[/C][C]7[/C][C]8.22233[/C][C]-1.22233[/C][/ROW]
[ROW][C]215[/C][C]8[/C][C]8.46249[/C][C]-0.462492[/C][/ROW]
[ROW][C]216[/C][C]5.5[/C][C]6.47515[/C][C]-0.975149[/C][/ROW]
[ROW][C]217[/C][C]8.5[/C][C]6.28148[/C][C]2.21852[/C][/ROW]
[ROW][C]218[/C][C]7.5[/C][C]6.07842[/C][C]1.42158[/C][/ROW]
[ROW][C]219[/C][C]7[/C][C]5.7628[/C][C]1.2372[/C][/ROW]
[ROW][C]220[/C][C]8[/C][C]7.68225[/C][C]0.317754[/C][/ROW]
[ROW][C]221[/C][C]8.5[/C][C]7.77211[/C][C]0.72789[/C][/ROW]
[ROW][C]222[/C][C]3.5[/C][C]6.49396[/C][C]-2.99396[/C][/ROW]
[ROW][C]223[/C][C]6.5[/C][C]5.47086[/C][C]1.02914[/C][/ROW]
[ROW][C]224[/C][C]6.5[/C][C]5.1576[/C][C]1.3424[/C][/ROW]
[ROW][C]225[/C][C]10.5[/C][C]7.77503[/C][C]2.72497[/C][/ROW]
[ROW][C]226[/C][C]8.5[/C][C]5.92386[/C][C]2.57614[/C][/ROW]
[ROW][C]227[/C][C]8[/C][C]6.28332[/C][C]1.71668[/C][/ROW]
[ROW][C]228[/C][C]10[/C][C]6.02311[/C][C]3.97689[/C][/ROW]
[ROW][C]229[/C][C]10[/C][C]7.53479[/C][C]2.46521[/C][/ROW]
[ROW][C]230[/C][C]9.5[/C][C]7.23491[/C][C]2.26509[/C][/ROW]
[ROW][C]231[/C][C]9[/C][C]5.72099[/C][C]3.27901[/C][/ROW]
[ROW][C]232[/C][C]10[/C][C]8.44282[/C][C]1.55718[/C][/ROW]
[ROW][C]233[/C][C]7.5[/C][C]5.6463[/C][C]1.8537[/C][/ROW]
[ROW][C]234[/C][C]4.5[/C][C]5.76129[/C][C]-1.26129[/C][/ROW]
[ROW][C]235[/C][C]4.5[/C][C]5.51711[/C][C]-1.01711[/C][/ROW]
[ROW][C]236[/C][C]0.5[/C][C]5.62621[/C][C]-5.12621[/C][/ROW]
[ROW][C]237[/C][C]6.5[/C][C]5.26021[/C][C]1.23979[/C][/ROW]
[ROW][C]238[/C][C]4.5[/C][C]7.52352[/C][C]-3.02352[/C][/ROW]
[ROW][C]239[/C][C]5.5[/C][C]6.87733[/C][C]-1.37733[/C][/ROW]
[ROW][C]240[/C][C]5[/C][C]5.42979[/C][C]-0.429792[/C][/ROW]
[ROW][C]241[/C][C]6[/C][C]7.44667[/C][C]-1.44667[/C][/ROW]
[ROW][C]242[/C][C]4[/C][C]7.18028[/C][C]-3.18028[/C][/ROW]
[ROW][C]243[/C][C]8[/C][C]5.37666[/C][C]2.62334[/C][/ROW]
[ROW][C]244[/C][C]10.5[/C][C]6.75643[/C][C]3.74357[/C][/ROW]
[ROW][C]245[/C][C]8.5[/C][C]5.4203[/C][C]3.0797[/C][/ROW]
[ROW][C]246[/C][C]8[/C][C]7.69926[/C][C]0.300744[/C][/ROW]
[ROW][C]247[/C][C]8.5[/C][C]7.81231[/C][C]0.687694[/C][/ROW]
[ROW][C]248[/C][C]5.5[/C][C]5.65559[/C][C]-0.155587[/C][/ROW]
[ROW][C]249[/C][C]7[/C][C]7.64731[/C][C]-0.647314[/C][/ROW]
[ROW][C]250[/C][C]5[/C][C]6.13045[/C][C]-1.13045[/C][/ROW]
[ROW][C]251[/C][C]3.5[/C][C]5.47797[/C][C]-1.97797[/C][/ROW]
[ROW][C]252[/C][C]5[/C][C]7.33182[/C][C]-2.33182[/C][/ROW]
[ROW][C]253[/C][C]9[/C][C]7.41727[/C][C]1.58273[/C][/ROW]
[ROW][C]254[/C][C]8.5[/C][C]6.66245[/C][C]1.83755[/C][/ROW]
[ROW][C]255[/C][C]5[/C][C]6.19967[/C][C]-1.19967[/C][/ROW]
[ROW][C]256[/C][C]9.5[/C][C]7.67707[/C][C]1.82293[/C][/ROW]
[ROW][C]257[/C][C]3[/C][C]4.87004[/C][C]-1.87004[/C][/ROW]
[ROW][C]258[/C][C]1.5[/C][C]7.32923[/C][C]-5.82923[/C][/ROW]
[ROW][C]259[/C][C]6[/C][C]5.31074[/C][C]0.689258[/C][/ROW]
[ROW][C]260[/C][C]0.5[/C][C]5.29905[/C][C]-4.79905[/C][/ROW]
[ROW][C]261[/C][C]6.5[/C][C]4.97116[/C][C]1.52884[/C][/ROW]
[ROW][C]262[/C][C]7.5[/C][C]5.82184[/C][C]1.67816[/C][/ROW]
[ROW][C]263[/C][C]4.5[/C][C]5.88754[/C][C]-1.38754[/C][/ROW]
[ROW][C]264[/C][C]8[/C][C]5.37666[/C][C]2.62334[/C][/ROW]
[ROW][C]265[/C][C]9[/C][C]7.26657[/C][C]1.73343[/C][/ROW]
[ROW][C]266[/C][C]7.5[/C][C]6.6916[/C][C]0.808402[/C][/ROW]
[ROW][C]267[/C][C]8.5[/C][C]6.7348[/C][C]1.7652[/C][/ROW]
[ROW][C]268[/C][C]7[/C][C]5.21218[/C][C]1.78782[/C][/ROW]
[ROW][C]269[/C][C]9.5[/C][C]5.76422[/C][C]3.73578[/C][/ROW]
[ROW][C]270[/C][C]6.5[/C][C]5.12467[/C][C]1.37533[/C][/ROW]
[ROW][C]271[/C][C]9.5[/C][C]5.26672[/C][C]4.23328[/C][/ROW]
[ROW][C]272[/C][C]6[/C][C]5.33698[/C][C]0.66302[/C][/ROW]
[ROW][C]273[/C][C]8[/C][C]7.09164[/C][C]0.908361[/C][/ROW]
[ROW][C]274[/C][C]9.5[/C][C]8.35029[/C][C]1.14971[/C][/ROW]
[ROW][C]275[/C][C]8[/C][C]6.16724[/C][C]1.83276[/C][/ROW]
[ROW][C]276[/C][C]8[/C][C]6.29323[/C][C]1.70677[/C][/ROW]
[ROW][C]277[/C][C]9[/C][C]7.22118[/C][C]1.77882[/C][/ROW]
[ROW][C]278[/C][C]5[/C][C]5.55771[/C][C]-0.557714[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266113&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266113&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
17.55.467742.03226
265.095440.904564
36.55.37261.1274
415.69513-4.69513
515.11671-4.11671
65.56.55662-1.05662
78.55.719052.78095
86.55.875590.624409
94.55.51992-1.01992
1026.47748-4.47748
1155.77964-0.779642
120.56.82683-6.32683
1355.25942-0.259424
1456.01233-1.01233
152.54.76817-2.26817
1655.39553-0.395527
175.56.28693-0.786927
183.55.57366-2.07366
1935.5481-2.5481
2045.37136-1.37136
210.55.06766-4.56766
226.55.432051.06795
234.55.51213-1.01213
247.55.179932.32007
255.55.69787-0.197869
2646.44954-2.44954
277.55.90661.5934
2875.322231.67777
2944.97929-0.979292
305.55.463830.0361741
312.55.77576-3.27576
325.56.0694-0.569399
333.55.65606-2.15606
342.56.38617-3.88617
354.55.96326-1.46326
364.56.09433-1.59433
374.55.22141-0.721408
3865.7460.254004
392.55.16795-2.66795
4056.62238-1.62238
4104.81405-4.81405
4256.38488-1.38488
436.55.05791.4421
4455.66294-0.662937
4565.165460.834537
464.55.75611-1.25611
475.56.02107-0.521073
4815.15583-4.15583
497.54.701222.79878
5065.061640.938355
5155.5956-0.595603
5215.67167-4.67167
5356.05572-1.05572
546.55.672980.827015
5576.366220.633781
564.56.43531-1.93531
5705.32306-5.32306
588.55.536442.96356
593.54.67212-1.17212
607.55.671831.82817
613.55.75102-2.25102
6264.858561.14144
631.55.09367-3.59367
6496.017992.98201
653.54.66226-1.16226
663.55.12668-1.62668
6746.206-2.206
686.55.996970.503027
697.55.329322.17068
7065.106660.893338
7155.80378-0.803779
725.55.102020.397981
733.55.5891-2.0891
747.55.150742.34926
756.56.030080.469921
766.56.23210.267896
776.55.157351.34265
7876.931190.0688129
793.55.43211-1.93211
801.55.37607-3.87607
8144.92224-0.92224
827.54.793782.70622
834.55.78846-1.28846
8404.6662-4.6662
853.54.92913-1.42913
865.55.50807-0.00806809
8754.985140.0148616
884.55.10003-0.600025
892.54.6578-2.1578
907.54.911422.58858
9175.031171.96883
9205.12067-5.12067
934.55.22609-0.726092
9435.71899-2.71899
951.55.54175-4.04175
963.54.64303-1.14303
972.55.68793-3.18793
985.55.105270.394734
9985.441432.55857
10014.76408-3.76408
10155.42407-0.424071
1024.55.54029-1.04029
10334.85118-1.85118
10434.8515-1.8515
10585.633862.36614
1062.54.7172-2.2172
10774.911232.08877
10805.08542-5.08542
10915.11166-4.11166
1103.54.88708-1.38708
1115.54.870140.629864
1125.54.730680.769317
1130.54.89492-4.39492
1147.56.570150.929854
11596.931522.06848
1169.57.091342.40866
1178.58.186960.313042
11874.778352.22165
119810.9858-2.98584
120107.26322.7368
12179.20871-2.20871
1228.55.160043.33996
12398.731330.268673
1249.55.654373.84563
12547.32135-3.32135
12666.67376-0.673757
12787.260940.739061
1285.58.69053-3.19053
1299.57.506321.99368
1307.55.838951.66105
13175.481241.51876
1327.58.67145-1.17145
13386.432531.56747
13476.89210.107896
13576.122570.877431
13667.47393-1.47393
137106.633273.36673
1382.56.38581-3.88581
13998.760490.239513
14089.23477-1.23477
14165.481180.518819
1428.55.086913.41309
14366.21139-0.211394
14498.055330.944674
14586.395081.60492
14697.179531.82047
1475.56.06856-0.568557
14855.51975-0.519752
1495.58.94381-3.44381
15097.643291.35671
15127.04719-5.04719
1528.56.883311.61669
15397.402541.59746
1548.58.340670.159327
15596.315522.68448
1567.57.041340.458663
157107.782252.21775
15897.141571.85843
1597.58.87373-1.37373
16066.04978-0.0497794
16110.56.189144.31086
1628.59.16628-0.666285
16386.412431.58757
164105.942674.05733
16510.56.756433.74357
1666.54.971161.52884
1679.57.855261.64474
1688.54.760873.73913
1697.57.74597-0.245971
17057.19639-2.19639
17187.549080.450917
172106.352133.64787
17375.845531.15447
1747.57.61322-0.113218
1757.57.61322-0.113218
1769.56.611942.88806
17766.68014-0.680144
178108.029211.97079
17975.972321.02768
18036.19511-3.19511
18167.00849-1.00849
18276.43170.568304
183108.391541.60846
18476.859670.140335
1853.55.37468-1.87468
18686.744791.25521
187105.736124.26388
1885.55.74676-0.24676
18964.039251.96075
1906.56.453950.0460477
1916.55.727860.77214
1928.56.163362.33664
19345.37614-1.37614
1949.56.33463.1654
19585.985452.01455
1968.57.483791.01621
1975.58.3171-2.8171
19876.948850.05115
19995.338123.66188
20086.049751.95025
201107.872262.12774
20285.999372.00063
20366.14907-0.149072
20487.514840.485159
20555.5447-0.544701
20695.360893.63911
2074.56.99106-2.49106
2088.55.574252.92575
20976.114970.885035
2108.57.041711.45829
2117.55.021732.47827
2127.55.881081.61892
21357.56255-2.56255
21478.22233-1.22233
21588.46249-0.462492
2165.56.47515-0.975149
2178.56.281482.21852
2187.56.078421.42158
21975.76281.2372
22087.682250.317754
2218.57.772110.72789
2223.56.49396-2.99396
2236.55.470861.02914
2246.55.15761.3424
22510.57.775032.72497
2268.55.923862.57614
22786.283321.71668
228106.023113.97689
229107.534792.46521
2309.57.234912.26509
23195.720993.27901
232108.442821.55718
2337.55.64631.8537
2344.55.76129-1.26129
2354.55.51711-1.01711
2360.55.62621-5.12621
2376.55.260211.23979
2384.57.52352-3.02352
2395.56.87733-1.37733
24055.42979-0.429792
24167.44667-1.44667
24247.18028-3.18028
24385.376662.62334
24410.56.756433.74357
2458.55.42033.0797
24687.699260.300744
2478.57.812310.687694
2485.55.65559-0.155587
24977.64731-0.647314
25056.13045-1.13045
2513.55.47797-1.97797
25257.33182-2.33182
25397.417271.58273
2548.56.662451.83755
25556.19967-1.19967
2569.57.677071.82293
25734.87004-1.87004
2581.57.32923-5.82923
25965.310740.689258
2600.55.29905-4.79905
2616.54.971161.52884
2627.55.821841.67816
2634.55.88754-1.38754
26485.376662.62334
26597.266571.73343
2667.56.69160.808402
2678.56.73481.7652
26875.212181.78782
2699.55.764223.73578
2706.55.124671.37533
2719.55.266724.23328
27265.336980.66302
27387.091640.908361
2749.58.350291.14971
27586.167241.83276
27686.293231.70677
27797.221181.77882
27855.55771-0.557714






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.9768430.04631320.0231566
80.9550110.08997880.0449894
90.9267050.1465910.0732954
100.9432350.113530.0567651
110.9073640.1852720.0926361
120.9126250.174750.0873749
130.8701920.2596160.129808
140.8177890.3644230.182211
150.7724260.4551480.227574
160.7375320.5249370.262468
170.6902470.6195060.309753
180.6246020.7507950.375398
190.5859930.8280150.414007
200.5140150.9719690.485985
210.6638150.672370.336185
220.6012080.7975840.398792
230.5356570.9286850.464343
240.4961820.9923630.503818
250.4386240.8772480.561376
260.3859140.7718280.614086
270.3278920.6557850.672108
280.3778980.7557970.622102
290.3367970.6735940.663203
300.3100180.6200360.689982
310.2796750.5593510.720325
320.2747420.5494840.725258
330.2338410.4676830.766159
340.2622930.5245870.737707
350.2257930.4515860.774207
360.1940650.388130.805935
370.1599390.3198780.840061
380.157720.3154410.84228
390.2075830.4151670.792417
400.1846480.3692970.815352
410.3199180.6398370.680082
420.2842590.5685180.715741
430.2622140.5244290.737786
440.231330.4626610.76867
450.2221260.4442510.777874
460.1917180.3834370.808282
470.1687820.3375640.831218
480.2577680.5155370.742232
490.3007970.6015930.699203
500.2847070.5694140.715293
510.2509970.5019930.749003
520.2859960.5719920.714004
530.2623870.5247750.737613
540.2636220.5272440.736378
550.2768590.5537180.723141
560.2487170.4974340.751283
570.3822680.7645370.617732
580.4687890.9375790.531211
590.4289650.857930.571035
600.4635390.9270780.536461
610.45190.9037990.5481
620.4232060.8464120.576794
630.4655120.9310240.534488
640.5331850.933630.466815
650.5137030.9725950.486297
660.4807690.9615380.519231
670.4724780.9449560.527522
680.4407790.8815580.559221
690.439310.8786190.56069
700.4166070.8332130.583393
710.3868370.7736730.613163
720.3560660.7121330.643934
730.3309320.6618650.669068
740.3349040.6698090.665096
750.3206950.641390.679305
760.2999610.5999220.700039
770.2890680.5781370.710932
780.2835170.5670350.716483
790.2626620.5253230.737338
800.3187010.6374020.681299
810.2907610.5815220.709239
820.3157670.6315340.684233
830.2881520.5763030.711848
840.3999590.7999180.600041
850.3849150.7698310.615085
860.3541090.7082180.645891
870.3230790.6461580.676921
880.2936290.5872570.706371
890.2941860.5883720.705814
900.3143680.6287370.685632
910.331020.6620410.66898
920.4665090.9330170.533491
930.4383780.8767550.561622
940.4329350.865870.567065
950.4853030.9706050.514697
960.464650.9293010.53535
970.4899730.9799460.510027
980.4684710.9369430.531529
990.5314830.9370340.468517
1000.6377970.7244060.362203
1010.6116380.7767240.388362
1020.5879360.8241290.412064
1030.5825860.8348280.417414
1040.5974250.8051510.402575
1050.6320890.7358220.367911
1060.6566410.6867180.343359
1070.6607650.678470.339235
1080.7979160.4041670.202084
1090.8465260.3069470.153474
1100.8459450.3081110.154055
1110.8332870.3334260.166713
1120.820810.3583810.17919
1130.8856690.2286620.114331
1140.8926260.2147480.107374
1150.9056390.1887210.0943607
1160.9192250.161550.0807751
1170.9083820.1832360.091618
1180.9160670.1678650.0839325
1190.9083740.1832510.0916257
1200.9167280.1665430.0832717
1210.9165490.1669020.083451
1220.9403870.1192270.0596134
1230.9336570.1326860.0663432
1240.9623010.07539790.037699
1250.9680620.06387680.0319384
1260.9623020.0753970.0376985
1270.9574740.08505240.0425262
1280.965170.06965990.0348299
1290.9645430.07091410.035457
1300.9626220.07475680.0373784
1310.9594410.08111890.0405595
1320.9569130.08617380.0430869
1330.9539510.09209810.046049
1340.9466050.106790.053395
1350.9401710.1196590.0598295
1360.932590.1348210.0674104
1370.9509070.09818610.049093
1380.9613590.0772830.0386415
1390.954520.09096080.0454804
1400.947020.1059590.0529796
1410.9387660.1224680.0612342
1420.9467140.1065710.0532855
1430.9439230.1121530.0560766
1440.9383740.1232530.0616263
1450.9336190.1327620.0663809
1460.9294060.1411890.0705943
1470.9221960.1556080.077804
1480.9122650.175470.087735
1490.9187140.1625720.0812861
1500.9107820.1784350.0892177
1510.9635080.07298390.036492
1520.9599690.08006110.0400306
1530.9562590.08748130.0437406
1540.9479280.1041430.0520717
1550.9561850.08763020.0438151
1560.9486480.1027030.0513517
1570.9460160.1079680.0539839
1580.9438360.1123280.056164
1590.9360460.1279090.0639543
1600.9268150.1463710.0731853
1610.9481610.1036790.0518394
1620.9393210.1213580.0606791
1630.9313860.1372270.0686135
1640.9676920.06461640.0323082
1650.9709060.0581880.029094
1660.9666020.06679590.033398
1670.9632160.07356770.0367839
1680.9711480.0577040.028852
1690.9647570.07048640.0352432
1700.9647790.07044140.0352207
1710.9577220.08455570.0422778
1720.9654170.06916670.0345833
1730.9596650.08067070.0403353
1740.95120.09759990.0488
1750.9413580.1172830.0586416
1760.9448910.1102180.055109
1770.9384090.1231810.0615907
1780.9368890.1262220.0631108
1790.9265820.1468360.073418
1800.9392870.1214270.0607135
1810.9376970.1246050.0623026
1820.9262450.147510.0737551
1830.9193880.1612240.0806118
1840.9049920.1900160.0950078
1850.9132270.1735460.0867728
1860.9002450.199510.0997551
1870.9302190.1395630.0697815
1880.9218490.1563010.0781506
1890.9123680.1752630.0876316
1900.8964610.2070780.103539
1910.8799930.2400130.120007
1920.8745570.2508850.125443
1930.864670.2706590.13533
1940.8749660.2500680.125034
1950.8685550.262890.131445
1960.8542220.2915570.145778
1970.8687620.2624750.131238
1980.8470060.3059880.152994
1990.8636330.2727340.136367
2000.8491170.3017670.150883
2010.8320790.3358420.167921
2020.8285440.3429120.171456
2030.8068710.3862590.193129
2040.7812480.4375040.218752
2050.7624860.4750280.237514
2060.7904280.4191440.209572
2070.7874120.4251750.212588
2080.811330.377340.18867
2090.7879950.4240090.212005
2100.7638590.4722820.236141
2110.7683590.4632830.231641
2120.7411460.5177080.258854
2130.769830.460340.23017
2140.7387970.5224050.261203
2150.7129410.5741180.287059
2160.6900760.6198490.309924
2170.6739150.6521710.326085
2180.6386630.7226740.361337
2190.609960.780080.39004
2200.5687650.862470.431235
2210.5269180.9461650.473082
2220.5309610.9380780.469039
2230.4907770.9815550.509223
2240.4555670.9111340.544433
2250.4509380.9018760.549062
2260.4726650.9453290.527335
2270.4606430.9212870.539357
2280.5051750.989650.494825
2290.4939090.9878180.506091
2300.4874870.9749740.512513
2310.4903560.9807110.509644
2320.4537650.907530.546235
2330.4352130.8704260.564787
2340.4245090.8490180.575491
2350.383620.767240.61638
2360.5570830.8858340.442917
2370.5250750.9498510.474925
2380.6209080.7581840.379092
2390.584580.8308410.41542
2400.5422420.9155160.457758
2410.5108150.9783690.489185
2420.5498080.9003840.450192
2430.5283660.9432670.471634
2440.5239590.9520830.476041
2450.5515840.8968320.448416
2460.4954190.9908370.504581
2470.4420040.8840080.557996
2480.3908430.7816850.609157
2490.3413860.6827730.658614
2500.3037480.6074950.696252
2510.3210420.6420840.678958
2520.3430720.6861450.656928
2530.2972090.5944180.702791
2540.2599210.5198420.740079
2550.3026430.6052850.697357
2560.2682870.5365740.731713
2570.2776770.5553540.722323
2580.8613350.277330.138665
2590.8195190.3609620.180481
2600.9997870.0004252990.00021265
2610.9999892.16943e-051.08471e-05
2620.9999656.97422e-053.48711e-05
2630.9999892.10852e-051.05426e-05
2640.999983.90028e-051.95014e-05
2650.9999340.0001319476.59737e-05
2660.9997410.0005186870.000259343
2670.9991950.001610650.000805325
2680.9974460.005107540.00255377
2690.9941980.01160310.00580154
2700.9894130.02117310.0105865
2710.9992270.001546510.000773256

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
7 & 0.976843 & 0.0463132 & 0.0231566 \tabularnewline
8 & 0.955011 & 0.0899788 & 0.0449894 \tabularnewline
9 & 0.926705 & 0.146591 & 0.0732954 \tabularnewline
10 & 0.943235 & 0.11353 & 0.0567651 \tabularnewline
11 & 0.907364 & 0.185272 & 0.0926361 \tabularnewline
12 & 0.912625 & 0.17475 & 0.0873749 \tabularnewline
13 & 0.870192 & 0.259616 & 0.129808 \tabularnewline
14 & 0.817789 & 0.364423 & 0.182211 \tabularnewline
15 & 0.772426 & 0.455148 & 0.227574 \tabularnewline
16 & 0.737532 & 0.524937 & 0.262468 \tabularnewline
17 & 0.690247 & 0.619506 & 0.309753 \tabularnewline
18 & 0.624602 & 0.750795 & 0.375398 \tabularnewline
19 & 0.585993 & 0.828015 & 0.414007 \tabularnewline
20 & 0.514015 & 0.971969 & 0.485985 \tabularnewline
21 & 0.663815 & 0.67237 & 0.336185 \tabularnewline
22 & 0.601208 & 0.797584 & 0.398792 \tabularnewline
23 & 0.535657 & 0.928685 & 0.464343 \tabularnewline
24 & 0.496182 & 0.992363 & 0.503818 \tabularnewline
25 & 0.438624 & 0.877248 & 0.561376 \tabularnewline
26 & 0.385914 & 0.771828 & 0.614086 \tabularnewline
27 & 0.327892 & 0.655785 & 0.672108 \tabularnewline
28 & 0.377898 & 0.755797 & 0.622102 \tabularnewline
29 & 0.336797 & 0.673594 & 0.663203 \tabularnewline
30 & 0.310018 & 0.620036 & 0.689982 \tabularnewline
31 & 0.279675 & 0.559351 & 0.720325 \tabularnewline
32 & 0.274742 & 0.549484 & 0.725258 \tabularnewline
33 & 0.233841 & 0.467683 & 0.766159 \tabularnewline
34 & 0.262293 & 0.524587 & 0.737707 \tabularnewline
35 & 0.225793 & 0.451586 & 0.774207 \tabularnewline
36 & 0.194065 & 0.38813 & 0.805935 \tabularnewline
37 & 0.159939 & 0.319878 & 0.840061 \tabularnewline
38 & 0.15772 & 0.315441 & 0.84228 \tabularnewline
39 & 0.207583 & 0.415167 & 0.792417 \tabularnewline
40 & 0.184648 & 0.369297 & 0.815352 \tabularnewline
41 & 0.319918 & 0.639837 & 0.680082 \tabularnewline
42 & 0.284259 & 0.568518 & 0.715741 \tabularnewline
43 & 0.262214 & 0.524429 & 0.737786 \tabularnewline
44 & 0.23133 & 0.462661 & 0.76867 \tabularnewline
45 & 0.222126 & 0.444251 & 0.777874 \tabularnewline
46 & 0.191718 & 0.383437 & 0.808282 \tabularnewline
47 & 0.168782 & 0.337564 & 0.831218 \tabularnewline
48 & 0.257768 & 0.515537 & 0.742232 \tabularnewline
49 & 0.300797 & 0.601593 & 0.699203 \tabularnewline
50 & 0.284707 & 0.569414 & 0.715293 \tabularnewline
51 & 0.250997 & 0.501993 & 0.749003 \tabularnewline
52 & 0.285996 & 0.571992 & 0.714004 \tabularnewline
53 & 0.262387 & 0.524775 & 0.737613 \tabularnewline
54 & 0.263622 & 0.527244 & 0.736378 \tabularnewline
55 & 0.276859 & 0.553718 & 0.723141 \tabularnewline
56 & 0.248717 & 0.497434 & 0.751283 \tabularnewline
57 & 0.382268 & 0.764537 & 0.617732 \tabularnewline
58 & 0.468789 & 0.937579 & 0.531211 \tabularnewline
59 & 0.428965 & 0.85793 & 0.571035 \tabularnewline
60 & 0.463539 & 0.927078 & 0.536461 \tabularnewline
61 & 0.4519 & 0.903799 & 0.5481 \tabularnewline
62 & 0.423206 & 0.846412 & 0.576794 \tabularnewline
63 & 0.465512 & 0.931024 & 0.534488 \tabularnewline
64 & 0.533185 & 0.93363 & 0.466815 \tabularnewline
65 & 0.513703 & 0.972595 & 0.486297 \tabularnewline
66 & 0.480769 & 0.961538 & 0.519231 \tabularnewline
67 & 0.472478 & 0.944956 & 0.527522 \tabularnewline
68 & 0.440779 & 0.881558 & 0.559221 \tabularnewline
69 & 0.43931 & 0.878619 & 0.56069 \tabularnewline
70 & 0.416607 & 0.833213 & 0.583393 \tabularnewline
71 & 0.386837 & 0.773673 & 0.613163 \tabularnewline
72 & 0.356066 & 0.712133 & 0.643934 \tabularnewline
73 & 0.330932 & 0.661865 & 0.669068 \tabularnewline
74 & 0.334904 & 0.669809 & 0.665096 \tabularnewline
75 & 0.320695 & 0.64139 & 0.679305 \tabularnewline
76 & 0.299961 & 0.599922 & 0.700039 \tabularnewline
77 & 0.289068 & 0.578137 & 0.710932 \tabularnewline
78 & 0.283517 & 0.567035 & 0.716483 \tabularnewline
79 & 0.262662 & 0.525323 & 0.737338 \tabularnewline
80 & 0.318701 & 0.637402 & 0.681299 \tabularnewline
81 & 0.290761 & 0.581522 & 0.709239 \tabularnewline
82 & 0.315767 & 0.631534 & 0.684233 \tabularnewline
83 & 0.288152 & 0.576303 & 0.711848 \tabularnewline
84 & 0.399959 & 0.799918 & 0.600041 \tabularnewline
85 & 0.384915 & 0.769831 & 0.615085 \tabularnewline
86 & 0.354109 & 0.708218 & 0.645891 \tabularnewline
87 & 0.323079 & 0.646158 & 0.676921 \tabularnewline
88 & 0.293629 & 0.587257 & 0.706371 \tabularnewline
89 & 0.294186 & 0.588372 & 0.705814 \tabularnewline
90 & 0.314368 & 0.628737 & 0.685632 \tabularnewline
91 & 0.33102 & 0.662041 & 0.66898 \tabularnewline
92 & 0.466509 & 0.933017 & 0.533491 \tabularnewline
93 & 0.438378 & 0.876755 & 0.561622 \tabularnewline
94 & 0.432935 & 0.86587 & 0.567065 \tabularnewline
95 & 0.485303 & 0.970605 & 0.514697 \tabularnewline
96 & 0.46465 & 0.929301 & 0.53535 \tabularnewline
97 & 0.489973 & 0.979946 & 0.510027 \tabularnewline
98 & 0.468471 & 0.936943 & 0.531529 \tabularnewline
99 & 0.531483 & 0.937034 & 0.468517 \tabularnewline
100 & 0.637797 & 0.724406 & 0.362203 \tabularnewline
101 & 0.611638 & 0.776724 & 0.388362 \tabularnewline
102 & 0.587936 & 0.824129 & 0.412064 \tabularnewline
103 & 0.582586 & 0.834828 & 0.417414 \tabularnewline
104 & 0.597425 & 0.805151 & 0.402575 \tabularnewline
105 & 0.632089 & 0.735822 & 0.367911 \tabularnewline
106 & 0.656641 & 0.686718 & 0.343359 \tabularnewline
107 & 0.660765 & 0.67847 & 0.339235 \tabularnewline
108 & 0.797916 & 0.404167 & 0.202084 \tabularnewline
109 & 0.846526 & 0.306947 & 0.153474 \tabularnewline
110 & 0.845945 & 0.308111 & 0.154055 \tabularnewline
111 & 0.833287 & 0.333426 & 0.166713 \tabularnewline
112 & 0.82081 & 0.358381 & 0.17919 \tabularnewline
113 & 0.885669 & 0.228662 & 0.114331 \tabularnewline
114 & 0.892626 & 0.214748 & 0.107374 \tabularnewline
115 & 0.905639 & 0.188721 & 0.0943607 \tabularnewline
116 & 0.919225 & 0.16155 & 0.0807751 \tabularnewline
117 & 0.908382 & 0.183236 & 0.091618 \tabularnewline
118 & 0.916067 & 0.167865 & 0.0839325 \tabularnewline
119 & 0.908374 & 0.183251 & 0.0916257 \tabularnewline
120 & 0.916728 & 0.166543 & 0.0832717 \tabularnewline
121 & 0.916549 & 0.166902 & 0.083451 \tabularnewline
122 & 0.940387 & 0.119227 & 0.0596134 \tabularnewline
123 & 0.933657 & 0.132686 & 0.0663432 \tabularnewline
124 & 0.962301 & 0.0753979 & 0.037699 \tabularnewline
125 & 0.968062 & 0.0638768 & 0.0319384 \tabularnewline
126 & 0.962302 & 0.075397 & 0.0376985 \tabularnewline
127 & 0.957474 & 0.0850524 & 0.0425262 \tabularnewline
128 & 0.96517 & 0.0696599 & 0.0348299 \tabularnewline
129 & 0.964543 & 0.0709141 & 0.035457 \tabularnewline
130 & 0.962622 & 0.0747568 & 0.0373784 \tabularnewline
131 & 0.959441 & 0.0811189 & 0.0405595 \tabularnewline
132 & 0.956913 & 0.0861738 & 0.0430869 \tabularnewline
133 & 0.953951 & 0.0920981 & 0.046049 \tabularnewline
134 & 0.946605 & 0.10679 & 0.053395 \tabularnewline
135 & 0.940171 & 0.119659 & 0.0598295 \tabularnewline
136 & 0.93259 & 0.134821 & 0.0674104 \tabularnewline
137 & 0.950907 & 0.0981861 & 0.049093 \tabularnewline
138 & 0.961359 & 0.077283 & 0.0386415 \tabularnewline
139 & 0.95452 & 0.0909608 & 0.0454804 \tabularnewline
140 & 0.94702 & 0.105959 & 0.0529796 \tabularnewline
141 & 0.938766 & 0.122468 & 0.0612342 \tabularnewline
142 & 0.946714 & 0.106571 & 0.0532855 \tabularnewline
143 & 0.943923 & 0.112153 & 0.0560766 \tabularnewline
144 & 0.938374 & 0.123253 & 0.0616263 \tabularnewline
145 & 0.933619 & 0.132762 & 0.0663809 \tabularnewline
146 & 0.929406 & 0.141189 & 0.0705943 \tabularnewline
147 & 0.922196 & 0.155608 & 0.077804 \tabularnewline
148 & 0.912265 & 0.17547 & 0.087735 \tabularnewline
149 & 0.918714 & 0.162572 & 0.0812861 \tabularnewline
150 & 0.910782 & 0.178435 & 0.0892177 \tabularnewline
151 & 0.963508 & 0.0729839 & 0.036492 \tabularnewline
152 & 0.959969 & 0.0800611 & 0.0400306 \tabularnewline
153 & 0.956259 & 0.0874813 & 0.0437406 \tabularnewline
154 & 0.947928 & 0.104143 & 0.0520717 \tabularnewline
155 & 0.956185 & 0.0876302 & 0.0438151 \tabularnewline
156 & 0.948648 & 0.102703 & 0.0513517 \tabularnewline
157 & 0.946016 & 0.107968 & 0.0539839 \tabularnewline
158 & 0.943836 & 0.112328 & 0.056164 \tabularnewline
159 & 0.936046 & 0.127909 & 0.0639543 \tabularnewline
160 & 0.926815 & 0.146371 & 0.0731853 \tabularnewline
161 & 0.948161 & 0.103679 & 0.0518394 \tabularnewline
162 & 0.939321 & 0.121358 & 0.0606791 \tabularnewline
163 & 0.931386 & 0.137227 & 0.0686135 \tabularnewline
164 & 0.967692 & 0.0646164 & 0.0323082 \tabularnewline
165 & 0.970906 & 0.058188 & 0.029094 \tabularnewline
166 & 0.966602 & 0.0667959 & 0.033398 \tabularnewline
167 & 0.963216 & 0.0735677 & 0.0367839 \tabularnewline
168 & 0.971148 & 0.057704 & 0.028852 \tabularnewline
169 & 0.964757 & 0.0704864 & 0.0352432 \tabularnewline
170 & 0.964779 & 0.0704414 & 0.0352207 \tabularnewline
171 & 0.957722 & 0.0845557 & 0.0422778 \tabularnewline
172 & 0.965417 & 0.0691667 & 0.0345833 \tabularnewline
173 & 0.959665 & 0.0806707 & 0.0403353 \tabularnewline
174 & 0.9512 & 0.0975999 & 0.0488 \tabularnewline
175 & 0.941358 & 0.117283 & 0.0586416 \tabularnewline
176 & 0.944891 & 0.110218 & 0.055109 \tabularnewline
177 & 0.938409 & 0.123181 & 0.0615907 \tabularnewline
178 & 0.936889 & 0.126222 & 0.0631108 \tabularnewline
179 & 0.926582 & 0.146836 & 0.073418 \tabularnewline
180 & 0.939287 & 0.121427 & 0.0607135 \tabularnewline
181 & 0.937697 & 0.124605 & 0.0623026 \tabularnewline
182 & 0.926245 & 0.14751 & 0.0737551 \tabularnewline
183 & 0.919388 & 0.161224 & 0.0806118 \tabularnewline
184 & 0.904992 & 0.190016 & 0.0950078 \tabularnewline
185 & 0.913227 & 0.173546 & 0.0867728 \tabularnewline
186 & 0.900245 & 0.19951 & 0.0997551 \tabularnewline
187 & 0.930219 & 0.139563 & 0.0697815 \tabularnewline
188 & 0.921849 & 0.156301 & 0.0781506 \tabularnewline
189 & 0.912368 & 0.175263 & 0.0876316 \tabularnewline
190 & 0.896461 & 0.207078 & 0.103539 \tabularnewline
191 & 0.879993 & 0.240013 & 0.120007 \tabularnewline
192 & 0.874557 & 0.250885 & 0.125443 \tabularnewline
193 & 0.86467 & 0.270659 & 0.13533 \tabularnewline
194 & 0.874966 & 0.250068 & 0.125034 \tabularnewline
195 & 0.868555 & 0.26289 & 0.131445 \tabularnewline
196 & 0.854222 & 0.291557 & 0.145778 \tabularnewline
197 & 0.868762 & 0.262475 & 0.131238 \tabularnewline
198 & 0.847006 & 0.305988 & 0.152994 \tabularnewline
199 & 0.863633 & 0.272734 & 0.136367 \tabularnewline
200 & 0.849117 & 0.301767 & 0.150883 \tabularnewline
201 & 0.832079 & 0.335842 & 0.167921 \tabularnewline
202 & 0.828544 & 0.342912 & 0.171456 \tabularnewline
203 & 0.806871 & 0.386259 & 0.193129 \tabularnewline
204 & 0.781248 & 0.437504 & 0.218752 \tabularnewline
205 & 0.762486 & 0.475028 & 0.237514 \tabularnewline
206 & 0.790428 & 0.419144 & 0.209572 \tabularnewline
207 & 0.787412 & 0.425175 & 0.212588 \tabularnewline
208 & 0.81133 & 0.37734 & 0.18867 \tabularnewline
209 & 0.787995 & 0.424009 & 0.212005 \tabularnewline
210 & 0.763859 & 0.472282 & 0.236141 \tabularnewline
211 & 0.768359 & 0.463283 & 0.231641 \tabularnewline
212 & 0.741146 & 0.517708 & 0.258854 \tabularnewline
213 & 0.76983 & 0.46034 & 0.23017 \tabularnewline
214 & 0.738797 & 0.522405 & 0.261203 \tabularnewline
215 & 0.712941 & 0.574118 & 0.287059 \tabularnewline
216 & 0.690076 & 0.619849 & 0.309924 \tabularnewline
217 & 0.673915 & 0.652171 & 0.326085 \tabularnewline
218 & 0.638663 & 0.722674 & 0.361337 \tabularnewline
219 & 0.60996 & 0.78008 & 0.39004 \tabularnewline
220 & 0.568765 & 0.86247 & 0.431235 \tabularnewline
221 & 0.526918 & 0.946165 & 0.473082 \tabularnewline
222 & 0.530961 & 0.938078 & 0.469039 \tabularnewline
223 & 0.490777 & 0.981555 & 0.509223 \tabularnewline
224 & 0.455567 & 0.911134 & 0.544433 \tabularnewline
225 & 0.450938 & 0.901876 & 0.549062 \tabularnewline
226 & 0.472665 & 0.945329 & 0.527335 \tabularnewline
227 & 0.460643 & 0.921287 & 0.539357 \tabularnewline
228 & 0.505175 & 0.98965 & 0.494825 \tabularnewline
229 & 0.493909 & 0.987818 & 0.506091 \tabularnewline
230 & 0.487487 & 0.974974 & 0.512513 \tabularnewline
231 & 0.490356 & 0.980711 & 0.509644 \tabularnewline
232 & 0.453765 & 0.90753 & 0.546235 \tabularnewline
233 & 0.435213 & 0.870426 & 0.564787 \tabularnewline
234 & 0.424509 & 0.849018 & 0.575491 \tabularnewline
235 & 0.38362 & 0.76724 & 0.61638 \tabularnewline
236 & 0.557083 & 0.885834 & 0.442917 \tabularnewline
237 & 0.525075 & 0.949851 & 0.474925 \tabularnewline
238 & 0.620908 & 0.758184 & 0.379092 \tabularnewline
239 & 0.58458 & 0.830841 & 0.41542 \tabularnewline
240 & 0.542242 & 0.915516 & 0.457758 \tabularnewline
241 & 0.510815 & 0.978369 & 0.489185 \tabularnewline
242 & 0.549808 & 0.900384 & 0.450192 \tabularnewline
243 & 0.528366 & 0.943267 & 0.471634 \tabularnewline
244 & 0.523959 & 0.952083 & 0.476041 \tabularnewline
245 & 0.551584 & 0.896832 & 0.448416 \tabularnewline
246 & 0.495419 & 0.990837 & 0.504581 \tabularnewline
247 & 0.442004 & 0.884008 & 0.557996 \tabularnewline
248 & 0.390843 & 0.781685 & 0.609157 \tabularnewline
249 & 0.341386 & 0.682773 & 0.658614 \tabularnewline
250 & 0.303748 & 0.607495 & 0.696252 \tabularnewline
251 & 0.321042 & 0.642084 & 0.678958 \tabularnewline
252 & 0.343072 & 0.686145 & 0.656928 \tabularnewline
253 & 0.297209 & 0.594418 & 0.702791 \tabularnewline
254 & 0.259921 & 0.519842 & 0.740079 \tabularnewline
255 & 0.302643 & 0.605285 & 0.697357 \tabularnewline
256 & 0.268287 & 0.536574 & 0.731713 \tabularnewline
257 & 0.277677 & 0.555354 & 0.722323 \tabularnewline
258 & 0.861335 & 0.27733 & 0.138665 \tabularnewline
259 & 0.819519 & 0.360962 & 0.180481 \tabularnewline
260 & 0.999787 & 0.000425299 & 0.00021265 \tabularnewline
261 & 0.999989 & 2.16943e-05 & 1.08471e-05 \tabularnewline
262 & 0.999965 & 6.97422e-05 & 3.48711e-05 \tabularnewline
263 & 0.999989 & 2.10852e-05 & 1.05426e-05 \tabularnewline
264 & 0.99998 & 3.90028e-05 & 1.95014e-05 \tabularnewline
265 & 0.999934 & 0.000131947 & 6.59737e-05 \tabularnewline
266 & 0.999741 & 0.000518687 & 0.000259343 \tabularnewline
267 & 0.999195 & 0.00161065 & 0.000805325 \tabularnewline
268 & 0.997446 & 0.00510754 & 0.00255377 \tabularnewline
269 & 0.994198 & 0.0116031 & 0.00580154 \tabularnewline
270 & 0.989413 & 0.0211731 & 0.0105865 \tabularnewline
271 & 0.999227 & 0.00154651 & 0.000773256 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266113&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]7[/C][C]0.976843[/C][C]0.0463132[/C][C]0.0231566[/C][/ROW]
[ROW][C]8[/C][C]0.955011[/C][C]0.0899788[/C][C]0.0449894[/C][/ROW]
[ROW][C]9[/C][C]0.926705[/C][C]0.146591[/C][C]0.0732954[/C][/ROW]
[ROW][C]10[/C][C]0.943235[/C][C]0.11353[/C][C]0.0567651[/C][/ROW]
[ROW][C]11[/C][C]0.907364[/C][C]0.185272[/C][C]0.0926361[/C][/ROW]
[ROW][C]12[/C][C]0.912625[/C][C]0.17475[/C][C]0.0873749[/C][/ROW]
[ROW][C]13[/C][C]0.870192[/C][C]0.259616[/C][C]0.129808[/C][/ROW]
[ROW][C]14[/C][C]0.817789[/C][C]0.364423[/C][C]0.182211[/C][/ROW]
[ROW][C]15[/C][C]0.772426[/C][C]0.455148[/C][C]0.227574[/C][/ROW]
[ROW][C]16[/C][C]0.737532[/C][C]0.524937[/C][C]0.262468[/C][/ROW]
[ROW][C]17[/C][C]0.690247[/C][C]0.619506[/C][C]0.309753[/C][/ROW]
[ROW][C]18[/C][C]0.624602[/C][C]0.750795[/C][C]0.375398[/C][/ROW]
[ROW][C]19[/C][C]0.585993[/C][C]0.828015[/C][C]0.414007[/C][/ROW]
[ROW][C]20[/C][C]0.514015[/C][C]0.971969[/C][C]0.485985[/C][/ROW]
[ROW][C]21[/C][C]0.663815[/C][C]0.67237[/C][C]0.336185[/C][/ROW]
[ROW][C]22[/C][C]0.601208[/C][C]0.797584[/C][C]0.398792[/C][/ROW]
[ROW][C]23[/C][C]0.535657[/C][C]0.928685[/C][C]0.464343[/C][/ROW]
[ROW][C]24[/C][C]0.496182[/C][C]0.992363[/C][C]0.503818[/C][/ROW]
[ROW][C]25[/C][C]0.438624[/C][C]0.877248[/C][C]0.561376[/C][/ROW]
[ROW][C]26[/C][C]0.385914[/C][C]0.771828[/C][C]0.614086[/C][/ROW]
[ROW][C]27[/C][C]0.327892[/C][C]0.655785[/C][C]0.672108[/C][/ROW]
[ROW][C]28[/C][C]0.377898[/C][C]0.755797[/C][C]0.622102[/C][/ROW]
[ROW][C]29[/C][C]0.336797[/C][C]0.673594[/C][C]0.663203[/C][/ROW]
[ROW][C]30[/C][C]0.310018[/C][C]0.620036[/C][C]0.689982[/C][/ROW]
[ROW][C]31[/C][C]0.279675[/C][C]0.559351[/C][C]0.720325[/C][/ROW]
[ROW][C]32[/C][C]0.274742[/C][C]0.549484[/C][C]0.725258[/C][/ROW]
[ROW][C]33[/C][C]0.233841[/C][C]0.467683[/C][C]0.766159[/C][/ROW]
[ROW][C]34[/C][C]0.262293[/C][C]0.524587[/C][C]0.737707[/C][/ROW]
[ROW][C]35[/C][C]0.225793[/C][C]0.451586[/C][C]0.774207[/C][/ROW]
[ROW][C]36[/C][C]0.194065[/C][C]0.38813[/C][C]0.805935[/C][/ROW]
[ROW][C]37[/C][C]0.159939[/C][C]0.319878[/C][C]0.840061[/C][/ROW]
[ROW][C]38[/C][C]0.15772[/C][C]0.315441[/C][C]0.84228[/C][/ROW]
[ROW][C]39[/C][C]0.207583[/C][C]0.415167[/C][C]0.792417[/C][/ROW]
[ROW][C]40[/C][C]0.184648[/C][C]0.369297[/C][C]0.815352[/C][/ROW]
[ROW][C]41[/C][C]0.319918[/C][C]0.639837[/C][C]0.680082[/C][/ROW]
[ROW][C]42[/C][C]0.284259[/C][C]0.568518[/C][C]0.715741[/C][/ROW]
[ROW][C]43[/C][C]0.262214[/C][C]0.524429[/C][C]0.737786[/C][/ROW]
[ROW][C]44[/C][C]0.23133[/C][C]0.462661[/C][C]0.76867[/C][/ROW]
[ROW][C]45[/C][C]0.222126[/C][C]0.444251[/C][C]0.777874[/C][/ROW]
[ROW][C]46[/C][C]0.191718[/C][C]0.383437[/C][C]0.808282[/C][/ROW]
[ROW][C]47[/C][C]0.168782[/C][C]0.337564[/C][C]0.831218[/C][/ROW]
[ROW][C]48[/C][C]0.257768[/C][C]0.515537[/C][C]0.742232[/C][/ROW]
[ROW][C]49[/C][C]0.300797[/C][C]0.601593[/C][C]0.699203[/C][/ROW]
[ROW][C]50[/C][C]0.284707[/C][C]0.569414[/C][C]0.715293[/C][/ROW]
[ROW][C]51[/C][C]0.250997[/C][C]0.501993[/C][C]0.749003[/C][/ROW]
[ROW][C]52[/C][C]0.285996[/C][C]0.571992[/C][C]0.714004[/C][/ROW]
[ROW][C]53[/C][C]0.262387[/C][C]0.524775[/C][C]0.737613[/C][/ROW]
[ROW][C]54[/C][C]0.263622[/C][C]0.527244[/C][C]0.736378[/C][/ROW]
[ROW][C]55[/C][C]0.276859[/C][C]0.553718[/C][C]0.723141[/C][/ROW]
[ROW][C]56[/C][C]0.248717[/C][C]0.497434[/C][C]0.751283[/C][/ROW]
[ROW][C]57[/C][C]0.382268[/C][C]0.764537[/C][C]0.617732[/C][/ROW]
[ROW][C]58[/C][C]0.468789[/C][C]0.937579[/C][C]0.531211[/C][/ROW]
[ROW][C]59[/C][C]0.428965[/C][C]0.85793[/C][C]0.571035[/C][/ROW]
[ROW][C]60[/C][C]0.463539[/C][C]0.927078[/C][C]0.536461[/C][/ROW]
[ROW][C]61[/C][C]0.4519[/C][C]0.903799[/C][C]0.5481[/C][/ROW]
[ROW][C]62[/C][C]0.423206[/C][C]0.846412[/C][C]0.576794[/C][/ROW]
[ROW][C]63[/C][C]0.465512[/C][C]0.931024[/C][C]0.534488[/C][/ROW]
[ROW][C]64[/C][C]0.533185[/C][C]0.93363[/C][C]0.466815[/C][/ROW]
[ROW][C]65[/C][C]0.513703[/C][C]0.972595[/C][C]0.486297[/C][/ROW]
[ROW][C]66[/C][C]0.480769[/C][C]0.961538[/C][C]0.519231[/C][/ROW]
[ROW][C]67[/C][C]0.472478[/C][C]0.944956[/C][C]0.527522[/C][/ROW]
[ROW][C]68[/C][C]0.440779[/C][C]0.881558[/C][C]0.559221[/C][/ROW]
[ROW][C]69[/C][C]0.43931[/C][C]0.878619[/C][C]0.56069[/C][/ROW]
[ROW][C]70[/C][C]0.416607[/C][C]0.833213[/C][C]0.583393[/C][/ROW]
[ROW][C]71[/C][C]0.386837[/C][C]0.773673[/C][C]0.613163[/C][/ROW]
[ROW][C]72[/C][C]0.356066[/C][C]0.712133[/C][C]0.643934[/C][/ROW]
[ROW][C]73[/C][C]0.330932[/C][C]0.661865[/C][C]0.669068[/C][/ROW]
[ROW][C]74[/C][C]0.334904[/C][C]0.669809[/C][C]0.665096[/C][/ROW]
[ROW][C]75[/C][C]0.320695[/C][C]0.64139[/C][C]0.679305[/C][/ROW]
[ROW][C]76[/C][C]0.299961[/C][C]0.599922[/C][C]0.700039[/C][/ROW]
[ROW][C]77[/C][C]0.289068[/C][C]0.578137[/C][C]0.710932[/C][/ROW]
[ROW][C]78[/C][C]0.283517[/C][C]0.567035[/C][C]0.716483[/C][/ROW]
[ROW][C]79[/C][C]0.262662[/C][C]0.525323[/C][C]0.737338[/C][/ROW]
[ROW][C]80[/C][C]0.318701[/C][C]0.637402[/C][C]0.681299[/C][/ROW]
[ROW][C]81[/C][C]0.290761[/C][C]0.581522[/C][C]0.709239[/C][/ROW]
[ROW][C]82[/C][C]0.315767[/C][C]0.631534[/C][C]0.684233[/C][/ROW]
[ROW][C]83[/C][C]0.288152[/C][C]0.576303[/C][C]0.711848[/C][/ROW]
[ROW][C]84[/C][C]0.399959[/C][C]0.799918[/C][C]0.600041[/C][/ROW]
[ROW][C]85[/C][C]0.384915[/C][C]0.769831[/C][C]0.615085[/C][/ROW]
[ROW][C]86[/C][C]0.354109[/C][C]0.708218[/C][C]0.645891[/C][/ROW]
[ROW][C]87[/C][C]0.323079[/C][C]0.646158[/C][C]0.676921[/C][/ROW]
[ROW][C]88[/C][C]0.293629[/C][C]0.587257[/C][C]0.706371[/C][/ROW]
[ROW][C]89[/C][C]0.294186[/C][C]0.588372[/C][C]0.705814[/C][/ROW]
[ROW][C]90[/C][C]0.314368[/C][C]0.628737[/C][C]0.685632[/C][/ROW]
[ROW][C]91[/C][C]0.33102[/C][C]0.662041[/C][C]0.66898[/C][/ROW]
[ROW][C]92[/C][C]0.466509[/C][C]0.933017[/C][C]0.533491[/C][/ROW]
[ROW][C]93[/C][C]0.438378[/C][C]0.876755[/C][C]0.561622[/C][/ROW]
[ROW][C]94[/C][C]0.432935[/C][C]0.86587[/C][C]0.567065[/C][/ROW]
[ROW][C]95[/C][C]0.485303[/C][C]0.970605[/C][C]0.514697[/C][/ROW]
[ROW][C]96[/C][C]0.46465[/C][C]0.929301[/C][C]0.53535[/C][/ROW]
[ROW][C]97[/C][C]0.489973[/C][C]0.979946[/C][C]0.510027[/C][/ROW]
[ROW][C]98[/C][C]0.468471[/C][C]0.936943[/C][C]0.531529[/C][/ROW]
[ROW][C]99[/C][C]0.531483[/C][C]0.937034[/C][C]0.468517[/C][/ROW]
[ROW][C]100[/C][C]0.637797[/C][C]0.724406[/C][C]0.362203[/C][/ROW]
[ROW][C]101[/C][C]0.611638[/C][C]0.776724[/C][C]0.388362[/C][/ROW]
[ROW][C]102[/C][C]0.587936[/C][C]0.824129[/C][C]0.412064[/C][/ROW]
[ROW][C]103[/C][C]0.582586[/C][C]0.834828[/C][C]0.417414[/C][/ROW]
[ROW][C]104[/C][C]0.597425[/C][C]0.805151[/C][C]0.402575[/C][/ROW]
[ROW][C]105[/C][C]0.632089[/C][C]0.735822[/C][C]0.367911[/C][/ROW]
[ROW][C]106[/C][C]0.656641[/C][C]0.686718[/C][C]0.343359[/C][/ROW]
[ROW][C]107[/C][C]0.660765[/C][C]0.67847[/C][C]0.339235[/C][/ROW]
[ROW][C]108[/C][C]0.797916[/C][C]0.404167[/C][C]0.202084[/C][/ROW]
[ROW][C]109[/C][C]0.846526[/C][C]0.306947[/C][C]0.153474[/C][/ROW]
[ROW][C]110[/C][C]0.845945[/C][C]0.308111[/C][C]0.154055[/C][/ROW]
[ROW][C]111[/C][C]0.833287[/C][C]0.333426[/C][C]0.166713[/C][/ROW]
[ROW][C]112[/C][C]0.82081[/C][C]0.358381[/C][C]0.17919[/C][/ROW]
[ROW][C]113[/C][C]0.885669[/C][C]0.228662[/C][C]0.114331[/C][/ROW]
[ROW][C]114[/C][C]0.892626[/C][C]0.214748[/C][C]0.107374[/C][/ROW]
[ROW][C]115[/C][C]0.905639[/C][C]0.188721[/C][C]0.0943607[/C][/ROW]
[ROW][C]116[/C][C]0.919225[/C][C]0.16155[/C][C]0.0807751[/C][/ROW]
[ROW][C]117[/C][C]0.908382[/C][C]0.183236[/C][C]0.091618[/C][/ROW]
[ROW][C]118[/C][C]0.916067[/C][C]0.167865[/C][C]0.0839325[/C][/ROW]
[ROW][C]119[/C][C]0.908374[/C][C]0.183251[/C][C]0.0916257[/C][/ROW]
[ROW][C]120[/C][C]0.916728[/C][C]0.166543[/C][C]0.0832717[/C][/ROW]
[ROW][C]121[/C][C]0.916549[/C][C]0.166902[/C][C]0.083451[/C][/ROW]
[ROW][C]122[/C][C]0.940387[/C][C]0.119227[/C][C]0.0596134[/C][/ROW]
[ROW][C]123[/C][C]0.933657[/C][C]0.132686[/C][C]0.0663432[/C][/ROW]
[ROW][C]124[/C][C]0.962301[/C][C]0.0753979[/C][C]0.037699[/C][/ROW]
[ROW][C]125[/C][C]0.968062[/C][C]0.0638768[/C][C]0.0319384[/C][/ROW]
[ROW][C]126[/C][C]0.962302[/C][C]0.075397[/C][C]0.0376985[/C][/ROW]
[ROW][C]127[/C][C]0.957474[/C][C]0.0850524[/C][C]0.0425262[/C][/ROW]
[ROW][C]128[/C][C]0.96517[/C][C]0.0696599[/C][C]0.0348299[/C][/ROW]
[ROW][C]129[/C][C]0.964543[/C][C]0.0709141[/C][C]0.035457[/C][/ROW]
[ROW][C]130[/C][C]0.962622[/C][C]0.0747568[/C][C]0.0373784[/C][/ROW]
[ROW][C]131[/C][C]0.959441[/C][C]0.0811189[/C][C]0.0405595[/C][/ROW]
[ROW][C]132[/C][C]0.956913[/C][C]0.0861738[/C][C]0.0430869[/C][/ROW]
[ROW][C]133[/C][C]0.953951[/C][C]0.0920981[/C][C]0.046049[/C][/ROW]
[ROW][C]134[/C][C]0.946605[/C][C]0.10679[/C][C]0.053395[/C][/ROW]
[ROW][C]135[/C][C]0.940171[/C][C]0.119659[/C][C]0.0598295[/C][/ROW]
[ROW][C]136[/C][C]0.93259[/C][C]0.134821[/C][C]0.0674104[/C][/ROW]
[ROW][C]137[/C][C]0.950907[/C][C]0.0981861[/C][C]0.049093[/C][/ROW]
[ROW][C]138[/C][C]0.961359[/C][C]0.077283[/C][C]0.0386415[/C][/ROW]
[ROW][C]139[/C][C]0.95452[/C][C]0.0909608[/C][C]0.0454804[/C][/ROW]
[ROW][C]140[/C][C]0.94702[/C][C]0.105959[/C][C]0.0529796[/C][/ROW]
[ROW][C]141[/C][C]0.938766[/C][C]0.122468[/C][C]0.0612342[/C][/ROW]
[ROW][C]142[/C][C]0.946714[/C][C]0.106571[/C][C]0.0532855[/C][/ROW]
[ROW][C]143[/C][C]0.943923[/C][C]0.112153[/C][C]0.0560766[/C][/ROW]
[ROW][C]144[/C][C]0.938374[/C][C]0.123253[/C][C]0.0616263[/C][/ROW]
[ROW][C]145[/C][C]0.933619[/C][C]0.132762[/C][C]0.0663809[/C][/ROW]
[ROW][C]146[/C][C]0.929406[/C][C]0.141189[/C][C]0.0705943[/C][/ROW]
[ROW][C]147[/C][C]0.922196[/C][C]0.155608[/C][C]0.077804[/C][/ROW]
[ROW][C]148[/C][C]0.912265[/C][C]0.17547[/C][C]0.087735[/C][/ROW]
[ROW][C]149[/C][C]0.918714[/C][C]0.162572[/C][C]0.0812861[/C][/ROW]
[ROW][C]150[/C][C]0.910782[/C][C]0.178435[/C][C]0.0892177[/C][/ROW]
[ROW][C]151[/C][C]0.963508[/C][C]0.0729839[/C][C]0.036492[/C][/ROW]
[ROW][C]152[/C][C]0.959969[/C][C]0.0800611[/C][C]0.0400306[/C][/ROW]
[ROW][C]153[/C][C]0.956259[/C][C]0.0874813[/C][C]0.0437406[/C][/ROW]
[ROW][C]154[/C][C]0.947928[/C][C]0.104143[/C][C]0.0520717[/C][/ROW]
[ROW][C]155[/C][C]0.956185[/C][C]0.0876302[/C][C]0.0438151[/C][/ROW]
[ROW][C]156[/C][C]0.948648[/C][C]0.102703[/C][C]0.0513517[/C][/ROW]
[ROW][C]157[/C][C]0.946016[/C][C]0.107968[/C][C]0.0539839[/C][/ROW]
[ROW][C]158[/C][C]0.943836[/C][C]0.112328[/C][C]0.056164[/C][/ROW]
[ROW][C]159[/C][C]0.936046[/C][C]0.127909[/C][C]0.0639543[/C][/ROW]
[ROW][C]160[/C][C]0.926815[/C][C]0.146371[/C][C]0.0731853[/C][/ROW]
[ROW][C]161[/C][C]0.948161[/C][C]0.103679[/C][C]0.0518394[/C][/ROW]
[ROW][C]162[/C][C]0.939321[/C][C]0.121358[/C][C]0.0606791[/C][/ROW]
[ROW][C]163[/C][C]0.931386[/C][C]0.137227[/C][C]0.0686135[/C][/ROW]
[ROW][C]164[/C][C]0.967692[/C][C]0.0646164[/C][C]0.0323082[/C][/ROW]
[ROW][C]165[/C][C]0.970906[/C][C]0.058188[/C][C]0.029094[/C][/ROW]
[ROW][C]166[/C][C]0.966602[/C][C]0.0667959[/C][C]0.033398[/C][/ROW]
[ROW][C]167[/C][C]0.963216[/C][C]0.0735677[/C][C]0.0367839[/C][/ROW]
[ROW][C]168[/C][C]0.971148[/C][C]0.057704[/C][C]0.028852[/C][/ROW]
[ROW][C]169[/C][C]0.964757[/C][C]0.0704864[/C][C]0.0352432[/C][/ROW]
[ROW][C]170[/C][C]0.964779[/C][C]0.0704414[/C][C]0.0352207[/C][/ROW]
[ROW][C]171[/C][C]0.957722[/C][C]0.0845557[/C][C]0.0422778[/C][/ROW]
[ROW][C]172[/C][C]0.965417[/C][C]0.0691667[/C][C]0.0345833[/C][/ROW]
[ROW][C]173[/C][C]0.959665[/C][C]0.0806707[/C][C]0.0403353[/C][/ROW]
[ROW][C]174[/C][C]0.9512[/C][C]0.0975999[/C][C]0.0488[/C][/ROW]
[ROW][C]175[/C][C]0.941358[/C][C]0.117283[/C][C]0.0586416[/C][/ROW]
[ROW][C]176[/C][C]0.944891[/C][C]0.110218[/C][C]0.055109[/C][/ROW]
[ROW][C]177[/C][C]0.938409[/C][C]0.123181[/C][C]0.0615907[/C][/ROW]
[ROW][C]178[/C][C]0.936889[/C][C]0.126222[/C][C]0.0631108[/C][/ROW]
[ROW][C]179[/C][C]0.926582[/C][C]0.146836[/C][C]0.073418[/C][/ROW]
[ROW][C]180[/C][C]0.939287[/C][C]0.121427[/C][C]0.0607135[/C][/ROW]
[ROW][C]181[/C][C]0.937697[/C][C]0.124605[/C][C]0.0623026[/C][/ROW]
[ROW][C]182[/C][C]0.926245[/C][C]0.14751[/C][C]0.0737551[/C][/ROW]
[ROW][C]183[/C][C]0.919388[/C][C]0.161224[/C][C]0.0806118[/C][/ROW]
[ROW][C]184[/C][C]0.904992[/C][C]0.190016[/C][C]0.0950078[/C][/ROW]
[ROW][C]185[/C][C]0.913227[/C][C]0.173546[/C][C]0.0867728[/C][/ROW]
[ROW][C]186[/C][C]0.900245[/C][C]0.19951[/C][C]0.0997551[/C][/ROW]
[ROW][C]187[/C][C]0.930219[/C][C]0.139563[/C][C]0.0697815[/C][/ROW]
[ROW][C]188[/C][C]0.921849[/C][C]0.156301[/C][C]0.0781506[/C][/ROW]
[ROW][C]189[/C][C]0.912368[/C][C]0.175263[/C][C]0.0876316[/C][/ROW]
[ROW][C]190[/C][C]0.896461[/C][C]0.207078[/C][C]0.103539[/C][/ROW]
[ROW][C]191[/C][C]0.879993[/C][C]0.240013[/C][C]0.120007[/C][/ROW]
[ROW][C]192[/C][C]0.874557[/C][C]0.250885[/C][C]0.125443[/C][/ROW]
[ROW][C]193[/C][C]0.86467[/C][C]0.270659[/C][C]0.13533[/C][/ROW]
[ROW][C]194[/C][C]0.874966[/C][C]0.250068[/C][C]0.125034[/C][/ROW]
[ROW][C]195[/C][C]0.868555[/C][C]0.26289[/C][C]0.131445[/C][/ROW]
[ROW][C]196[/C][C]0.854222[/C][C]0.291557[/C][C]0.145778[/C][/ROW]
[ROW][C]197[/C][C]0.868762[/C][C]0.262475[/C][C]0.131238[/C][/ROW]
[ROW][C]198[/C][C]0.847006[/C][C]0.305988[/C][C]0.152994[/C][/ROW]
[ROW][C]199[/C][C]0.863633[/C][C]0.272734[/C][C]0.136367[/C][/ROW]
[ROW][C]200[/C][C]0.849117[/C][C]0.301767[/C][C]0.150883[/C][/ROW]
[ROW][C]201[/C][C]0.832079[/C][C]0.335842[/C][C]0.167921[/C][/ROW]
[ROW][C]202[/C][C]0.828544[/C][C]0.342912[/C][C]0.171456[/C][/ROW]
[ROW][C]203[/C][C]0.806871[/C][C]0.386259[/C][C]0.193129[/C][/ROW]
[ROW][C]204[/C][C]0.781248[/C][C]0.437504[/C][C]0.218752[/C][/ROW]
[ROW][C]205[/C][C]0.762486[/C][C]0.475028[/C][C]0.237514[/C][/ROW]
[ROW][C]206[/C][C]0.790428[/C][C]0.419144[/C][C]0.209572[/C][/ROW]
[ROW][C]207[/C][C]0.787412[/C][C]0.425175[/C][C]0.212588[/C][/ROW]
[ROW][C]208[/C][C]0.81133[/C][C]0.37734[/C][C]0.18867[/C][/ROW]
[ROW][C]209[/C][C]0.787995[/C][C]0.424009[/C][C]0.212005[/C][/ROW]
[ROW][C]210[/C][C]0.763859[/C][C]0.472282[/C][C]0.236141[/C][/ROW]
[ROW][C]211[/C][C]0.768359[/C][C]0.463283[/C][C]0.231641[/C][/ROW]
[ROW][C]212[/C][C]0.741146[/C][C]0.517708[/C][C]0.258854[/C][/ROW]
[ROW][C]213[/C][C]0.76983[/C][C]0.46034[/C][C]0.23017[/C][/ROW]
[ROW][C]214[/C][C]0.738797[/C][C]0.522405[/C][C]0.261203[/C][/ROW]
[ROW][C]215[/C][C]0.712941[/C][C]0.574118[/C][C]0.287059[/C][/ROW]
[ROW][C]216[/C][C]0.690076[/C][C]0.619849[/C][C]0.309924[/C][/ROW]
[ROW][C]217[/C][C]0.673915[/C][C]0.652171[/C][C]0.326085[/C][/ROW]
[ROW][C]218[/C][C]0.638663[/C][C]0.722674[/C][C]0.361337[/C][/ROW]
[ROW][C]219[/C][C]0.60996[/C][C]0.78008[/C][C]0.39004[/C][/ROW]
[ROW][C]220[/C][C]0.568765[/C][C]0.86247[/C][C]0.431235[/C][/ROW]
[ROW][C]221[/C][C]0.526918[/C][C]0.946165[/C][C]0.473082[/C][/ROW]
[ROW][C]222[/C][C]0.530961[/C][C]0.938078[/C][C]0.469039[/C][/ROW]
[ROW][C]223[/C][C]0.490777[/C][C]0.981555[/C][C]0.509223[/C][/ROW]
[ROW][C]224[/C][C]0.455567[/C][C]0.911134[/C][C]0.544433[/C][/ROW]
[ROW][C]225[/C][C]0.450938[/C][C]0.901876[/C][C]0.549062[/C][/ROW]
[ROW][C]226[/C][C]0.472665[/C][C]0.945329[/C][C]0.527335[/C][/ROW]
[ROW][C]227[/C][C]0.460643[/C][C]0.921287[/C][C]0.539357[/C][/ROW]
[ROW][C]228[/C][C]0.505175[/C][C]0.98965[/C][C]0.494825[/C][/ROW]
[ROW][C]229[/C][C]0.493909[/C][C]0.987818[/C][C]0.506091[/C][/ROW]
[ROW][C]230[/C][C]0.487487[/C][C]0.974974[/C][C]0.512513[/C][/ROW]
[ROW][C]231[/C][C]0.490356[/C][C]0.980711[/C][C]0.509644[/C][/ROW]
[ROW][C]232[/C][C]0.453765[/C][C]0.90753[/C][C]0.546235[/C][/ROW]
[ROW][C]233[/C][C]0.435213[/C][C]0.870426[/C][C]0.564787[/C][/ROW]
[ROW][C]234[/C][C]0.424509[/C][C]0.849018[/C][C]0.575491[/C][/ROW]
[ROW][C]235[/C][C]0.38362[/C][C]0.76724[/C][C]0.61638[/C][/ROW]
[ROW][C]236[/C][C]0.557083[/C][C]0.885834[/C][C]0.442917[/C][/ROW]
[ROW][C]237[/C][C]0.525075[/C][C]0.949851[/C][C]0.474925[/C][/ROW]
[ROW][C]238[/C][C]0.620908[/C][C]0.758184[/C][C]0.379092[/C][/ROW]
[ROW][C]239[/C][C]0.58458[/C][C]0.830841[/C][C]0.41542[/C][/ROW]
[ROW][C]240[/C][C]0.542242[/C][C]0.915516[/C][C]0.457758[/C][/ROW]
[ROW][C]241[/C][C]0.510815[/C][C]0.978369[/C][C]0.489185[/C][/ROW]
[ROW][C]242[/C][C]0.549808[/C][C]0.900384[/C][C]0.450192[/C][/ROW]
[ROW][C]243[/C][C]0.528366[/C][C]0.943267[/C][C]0.471634[/C][/ROW]
[ROW][C]244[/C][C]0.523959[/C][C]0.952083[/C][C]0.476041[/C][/ROW]
[ROW][C]245[/C][C]0.551584[/C][C]0.896832[/C][C]0.448416[/C][/ROW]
[ROW][C]246[/C][C]0.495419[/C][C]0.990837[/C][C]0.504581[/C][/ROW]
[ROW][C]247[/C][C]0.442004[/C][C]0.884008[/C][C]0.557996[/C][/ROW]
[ROW][C]248[/C][C]0.390843[/C][C]0.781685[/C][C]0.609157[/C][/ROW]
[ROW][C]249[/C][C]0.341386[/C][C]0.682773[/C][C]0.658614[/C][/ROW]
[ROW][C]250[/C][C]0.303748[/C][C]0.607495[/C][C]0.696252[/C][/ROW]
[ROW][C]251[/C][C]0.321042[/C][C]0.642084[/C][C]0.678958[/C][/ROW]
[ROW][C]252[/C][C]0.343072[/C][C]0.686145[/C][C]0.656928[/C][/ROW]
[ROW][C]253[/C][C]0.297209[/C][C]0.594418[/C][C]0.702791[/C][/ROW]
[ROW][C]254[/C][C]0.259921[/C][C]0.519842[/C][C]0.740079[/C][/ROW]
[ROW][C]255[/C][C]0.302643[/C][C]0.605285[/C][C]0.697357[/C][/ROW]
[ROW][C]256[/C][C]0.268287[/C][C]0.536574[/C][C]0.731713[/C][/ROW]
[ROW][C]257[/C][C]0.277677[/C][C]0.555354[/C][C]0.722323[/C][/ROW]
[ROW][C]258[/C][C]0.861335[/C][C]0.27733[/C][C]0.138665[/C][/ROW]
[ROW][C]259[/C][C]0.819519[/C][C]0.360962[/C][C]0.180481[/C][/ROW]
[ROW][C]260[/C][C]0.999787[/C][C]0.000425299[/C][C]0.00021265[/C][/ROW]
[ROW][C]261[/C][C]0.999989[/C][C]2.16943e-05[/C][C]1.08471e-05[/C][/ROW]
[ROW][C]262[/C][C]0.999965[/C][C]6.97422e-05[/C][C]3.48711e-05[/C][/ROW]
[ROW][C]263[/C][C]0.999989[/C][C]2.10852e-05[/C][C]1.05426e-05[/C][/ROW]
[ROW][C]264[/C][C]0.99998[/C][C]3.90028e-05[/C][C]1.95014e-05[/C][/ROW]
[ROW][C]265[/C][C]0.999934[/C][C]0.000131947[/C][C]6.59737e-05[/C][/ROW]
[ROW][C]266[/C][C]0.999741[/C][C]0.000518687[/C][C]0.000259343[/C][/ROW]
[ROW][C]267[/C][C]0.999195[/C][C]0.00161065[/C][C]0.000805325[/C][/ROW]
[ROW][C]268[/C][C]0.997446[/C][C]0.00510754[/C][C]0.00255377[/C][/ROW]
[ROW][C]269[/C][C]0.994198[/C][C]0.0116031[/C][C]0.00580154[/C][/ROW]
[ROW][C]270[/C][C]0.989413[/C][C]0.0211731[/C][C]0.0105865[/C][/ROW]
[ROW][C]271[/C][C]0.999227[/C][C]0.00154651[/C][C]0.000773256[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266113&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266113&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
70.9768430.04631320.0231566
80.9550110.08997880.0449894
90.9267050.1465910.0732954
100.9432350.113530.0567651
110.9073640.1852720.0926361
120.9126250.174750.0873749
130.8701920.2596160.129808
140.8177890.3644230.182211
150.7724260.4551480.227574
160.7375320.5249370.262468
170.6902470.6195060.309753
180.6246020.7507950.375398
190.5859930.8280150.414007
200.5140150.9719690.485985
210.6638150.672370.336185
220.6012080.7975840.398792
230.5356570.9286850.464343
240.4961820.9923630.503818
250.4386240.8772480.561376
260.3859140.7718280.614086
270.3278920.6557850.672108
280.3778980.7557970.622102
290.3367970.6735940.663203
300.3100180.6200360.689982
310.2796750.5593510.720325
320.2747420.5494840.725258
330.2338410.4676830.766159
340.2622930.5245870.737707
350.2257930.4515860.774207
360.1940650.388130.805935
370.1599390.3198780.840061
380.157720.3154410.84228
390.2075830.4151670.792417
400.1846480.3692970.815352
410.3199180.6398370.680082
420.2842590.5685180.715741
430.2622140.5244290.737786
440.231330.4626610.76867
450.2221260.4442510.777874
460.1917180.3834370.808282
470.1687820.3375640.831218
480.2577680.5155370.742232
490.3007970.6015930.699203
500.2847070.5694140.715293
510.2509970.5019930.749003
520.2859960.5719920.714004
530.2623870.5247750.737613
540.2636220.5272440.736378
550.2768590.5537180.723141
560.2487170.4974340.751283
570.3822680.7645370.617732
580.4687890.9375790.531211
590.4289650.857930.571035
600.4635390.9270780.536461
610.45190.9037990.5481
620.4232060.8464120.576794
630.4655120.9310240.534488
640.5331850.933630.466815
650.5137030.9725950.486297
660.4807690.9615380.519231
670.4724780.9449560.527522
680.4407790.8815580.559221
690.439310.8786190.56069
700.4166070.8332130.583393
710.3868370.7736730.613163
720.3560660.7121330.643934
730.3309320.6618650.669068
740.3349040.6698090.665096
750.3206950.641390.679305
760.2999610.5999220.700039
770.2890680.5781370.710932
780.2835170.5670350.716483
790.2626620.5253230.737338
800.3187010.6374020.681299
810.2907610.5815220.709239
820.3157670.6315340.684233
830.2881520.5763030.711848
840.3999590.7999180.600041
850.3849150.7698310.615085
860.3541090.7082180.645891
870.3230790.6461580.676921
880.2936290.5872570.706371
890.2941860.5883720.705814
900.3143680.6287370.685632
910.331020.6620410.66898
920.4665090.9330170.533491
930.4383780.8767550.561622
940.4329350.865870.567065
950.4853030.9706050.514697
960.464650.9293010.53535
970.4899730.9799460.510027
980.4684710.9369430.531529
990.5314830.9370340.468517
1000.6377970.7244060.362203
1010.6116380.7767240.388362
1020.5879360.8241290.412064
1030.5825860.8348280.417414
1040.5974250.8051510.402575
1050.6320890.7358220.367911
1060.6566410.6867180.343359
1070.6607650.678470.339235
1080.7979160.4041670.202084
1090.8465260.3069470.153474
1100.8459450.3081110.154055
1110.8332870.3334260.166713
1120.820810.3583810.17919
1130.8856690.2286620.114331
1140.8926260.2147480.107374
1150.9056390.1887210.0943607
1160.9192250.161550.0807751
1170.9083820.1832360.091618
1180.9160670.1678650.0839325
1190.9083740.1832510.0916257
1200.9167280.1665430.0832717
1210.9165490.1669020.083451
1220.9403870.1192270.0596134
1230.9336570.1326860.0663432
1240.9623010.07539790.037699
1250.9680620.06387680.0319384
1260.9623020.0753970.0376985
1270.9574740.08505240.0425262
1280.965170.06965990.0348299
1290.9645430.07091410.035457
1300.9626220.07475680.0373784
1310.9594410.08111890.0405595
1320.9569130.08617380.0430869
1330.9539510.09209810.046049
1340.9466050.106790.053395
1350.9401710.1196590.0598295
1360.932590.1348210.0674104
1370.9509070.09818610.049093
1380.9613590.0772830.0386415
1390.954520.09096080.0454804
1400.947020.1059590.0529796
1410.9387660.1224680.0612342
1420.9467140.1065710.0532855
1430.9439230.1121530.0560766
1440.9383740.1232530.0616263
1450.9336190.1327620.0663809
1460.9294060.1411890.0705943
1470.9221960.1556080.077804
1480.9122650.175470.087735
1490.9187140.1625720.0812861
1500.9107820.1784350.0892177
1510.9635080.07298390.036492
1520.9599690.08006110.0400306
1530.9562590.08748130.0437406
1540.9479280.1041430.0520717
1550.9561850.08763020.0438151
1560.9486480.1027030.0513517
1570.9460160.1079680.0539839
1580.9438360.1123280.056164
1590.9360460.1279090.0639543
1600.9268150.1463710.0731853
1610.9481610.1036790.0518394
1620.9393210.1213580.0606791
1630.9313860.1372270.0686135
1640.9676920.06461640.0323082
1650.9709060.0581880.029094
1660.9666020.06679590.033398
1670.9632160.07356770.0367839
1680.9711480.0577040.028852
1690.9647570.07048640.0352432
1700.9647790.07044140.0352207
1710.9577220.08455570.0422778
1720.9654170.06916670.0345833
1730.9596650.08067070.0403353
1740.95120.09759990.0488
1750.9413580.1172830.0586416
1760.9448910.1102180.055109
1770.9384090.1231810.0615907
1780.9368890.1262220.0631108
1790.9265820.1468360.073418
1800.9392870.1214270.0607135
1810.9376970.1246050.0623026
1820.9262450.147510.0737551
1830.9193880.1612240.0806118
1840.9049920.1900160.0950078
1850.9132270.1735460.0867728
1860.9002450.199510.0997551
1870.9302190.1395630.0697815
1880.9218490.1563010.0781506
1890.9123680.1752630.0876316
1900.8964610.2070780.103539
1910.8799930.2400130.120007
1920.8745570.2508850.125443
1930.864670.2706590.13533
1940.8749660.2500680.125034
1950.8685550.262890.131445
1960.8542220.2915570.145778
1970.8687620.2624750.131238
1980.8470060.3059880.152994
1990.8636330.2727340.136367
2000.8491170.3017670.150883
2010.8320790.3358420.167921
2020.8285440.3429120.171456
2030.8068710.3862590.193129
2040.7812480.4375040.218752
2050.7624860.4750280.237514
2060.7904280.4191440.209572
2070.7874120.4251750.212588
2080.811330.377340.18867
2090.7879950.4240090.212005
2100.7638590.4722820.236141
2110.7683590.4632830.231641
2120.7411460.5177080.258854
2130.769830.460340.23017
2140.7387970.5224050.261203
2150.7129410.5741180.287059
2160.6900760.6198490.309924
2170.6739150.6521710.326085
2180.6386630.7226740.361337
2190.609960.780080.39004
2200.5687650.862470.431235
2210.5269180.9461650.473082
2220.5309610.9380780.469039
2230.4907770.9815550.509223
2240.4555670.9111340.544433
2250.4509380.9018760.549062
2260.4726650.9453290.527335
2270.4606430.9212870.539357
2280.5051750.989650.494825
2290.4939090.9878180.506091
2300.4874870.9749740.512513
2310.4903560.9807110.509644
2320.4537650.907530.546235
2330.4352130.8704260.564787
2340.4245090.8490180.575491
2350.383620.767240.61638
2360.5570830.8858340.442917
2370.5250750.9498510.474925
2380.6209080.7581840.379092
2390.584580.8308410.41542
2400.5422420.9155160.457758
2410.5108150.9783690.489185
2420.5498080.9003840.450192
2430.5283660.9432670.471634
2440.5239590.9520830.476041
2450.5515840.8968320.448416
2460.4954190.9908370.504581
2470.4420040.8840080.557996
2480.3908430.7816850.609157
2490.3413860.6827730.658614
2500.3037480.6074950.696252
2510.3210420.6420840.678958
2520.3430720.6861450.656928
2530.2972090.5944180.702791
2540.2599210.5198420.740079
2550.3026430.6052850.697357
2560.2682870.5365740.731713
2570.2776770.5553540.722323
2580.8613350.277330.138665
2590.8195190.3609620.180481
2600.9997870.0004252990.00021265
2610.9999892.16943e-051.08471e-05
2620.9999656.97422e-053.48711e-05
2630.9999892.10852e-051.05426e-05
2640.999983.90028e-051.95014e-05
2650.9999340.0001319476.59737e-05
2660.9997410.0005186870.000259343
2670.9991950.001610650.000805325
2680.9974460.005107540.00255377
2690.9941980.01160310.00580154
2700.9894130.02117310.0105865
2710.9992270.001546510.000773256






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level100.0377358NOK
5% type I error level130.0490566OK
10% type I error level420.158491NOK

\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 & 10 & 0.0377358 & NOK \tabularnewline
5% type I error level & 13 & 0.0490566 & OK \tabularnewline
10% type I error level & 42 & 0.158491 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266113&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]10[/C][C]0.0377358[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]13[/C][C]0.0490566[/C][C]OK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]42[/C][C]0.158491[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266113&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266113&T=6

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


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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level100.0377358NOK
5% type I error level130.0490566OK
10% type I error level420.158491NOK


Figures (Output of Computation)

Figure 1
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 2
PNG link  
QR Code
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QR Code
PDF link  
QR Code


Figure 3
PNG link  
QR Code
Postscript link  
QR Code
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QR Code


Figure 4
PNG link  
QR Code
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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')
}