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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 computationWed, 10 Dec 2014 20:35:03 +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/10/t1418243745b5o6dfd7ui6w2ev.htm/, Retrieved Sun, 19 May 2024 15:36:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=265626, Retrieved Sun, 19 May 2024 15:36:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact52

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [blog1paper] [2014-12-10 20:35:03] [ec52aa8040970d621dae982cb6b68c16] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
7.5 86 96 13 4 68
6 70 70 8 4 39
6.5 71 88 14 5 32
1 108 114 16 4 62
1 64 69 14 4 33
5.5 119 176 13 9 52
8.5 97 114 15 8 62
6.5 129 121 13 11 77
4.5 153 110 20 4 76
2 78 158 17 4 41
5 80 116 15 6 48
0.5 99 181 16 4 63
5 68 77 12 8 30
5 147 141 17 4 78
2.5 40 35 11 4 19
5 57 80 16 11 31
5.5 120 152 16 4 66
3.5 71 97 15 4 35
3 84 99 13 6 42
4 68 84 14 6 45
0.5 55 68 19 4 21
6.5 137 101 16 8 25
4.5 79 107 17 5 44
7.5 116 88 10 4 69
5.5 101 112 15 9 54
4 111 171 14 4 74
7.5 189 137 14 7 80
7 66 77 16 10 42
4 81 66 15 4 61
5.5 63 93 17 4 41
2.5 69 105 14 7 46
5.5 71 131 16 12 39
3.5 64 102 15 7 34
2.5 143 161 16 5 51
4.5 85 120 16 8 42
4.5 86 127 10 5 31
4.5 55 77 8 4 39
6 69 108 17 9 20
2.5 120 85 14 7 49
5 96 168 10 4 53
0 60 48 14 4 31
5 95 152 12 4 39
6.5 100 75 16 4 54
5 68 107 16 4 49
6 57 62 16 7 34
4.5 105 121 8 4 46
5.5 85 124 16 7 55
1 103 72 15 4 42
7.5 57 40 8 4 50
6 51 58 13 4 13
5 69 97 14 4 37
1 41 88 13 8 25
5 49 126 16 4 30
6.5 50 104 19 4 28
7 93 148 19 4 45
4.5 58 146 14 4 35
0 54 80 15 7 28
8.5 74 97 13 12 41
3.5 15 25 10 4 6
7.5 69 99 16 4 45
3.5 107 118 15 4 73
6 65 58 11 5 17
1.5 58 63 9 15 40
9 107 139 16 5 64
3.5 70 50 12 10 37
3.5 53 60 12 9 25
4 136 152 14 8 65
6.5 126 142 14 4 100
7.5 95 94 13 5 28
6 69 66 15 4 35
5 136 127 17 9 56
5.5 58 67 14 4 29
3.5 59 90 11 10 43
7.5 118 75 9 4 59
6.5 82 128 7 4 50
6.5 102 146 13 7 59
6.5 65 69 15 5 27
7 90 186 12 4 61
3.5 64 81 15 4 28
1.5 83 85 14 4 51
4 70 54 16 4 35
7.5 50 46 14 4 29
4.5 77 106 13 4 48
0 37 34 16 6 25
3.5 81 60 13 10 44
5.5 101 95 16 7 64
5 79 57 16 4 32
4.5 71 62 16 4 20
2.5 60 36 10 7 28
7.5 55 56 12 4 34
7 44 54 12 8 31
0 40 64 12 11 26
4.5 56 76 12 6 58
3 43 98 19 14 23
1.5 45 88 14 5 21
3.5 32 35 13 4 21
2.5 56 102 16 8 33
5.5 40 61 15 9 16
8 34 80 12 4 20
1 89 49 8 4 37
5 50 78 10 5 35
4.5 56 90 16 4 33
3 46 45 16 5 27
3 76 55 10 4 41
8 64 96 18 4 40
2.5 74 43 12 7 35
7 57 52 16 10 28
0 45 60 10 4 32
1 30 54 14 5 22
3.5 62 51 12 4 44
5.5 51 51 11 4 27
5.5 36 38 15 4 17
0.5 34 41 7 6 12
7.5 61 146 16 4 45
9 70 182 16 8 37
9.5 69 192 16 5 37
8.5 145 263 16 4 108
7 23 35 12 17 10
8 120 439 15 4 68
10 147 214 14 4 72
7 215 341 15 8 143
8.5 24 58 16 4 9
9 84 292 13 7 55
9.5 30 85 10 4 17
4 77 200 17 4 37
6 46 158 15 5 27
8 61 199 18 7 37
5.5 178 297 16 4 58
9.5 160 227 20 4 66
7.5 57 108 16 7 21
7 42 86 17 11 19
7.5 163 302 16 7 78
8 75 148 15 4 35
7 94 178 13 4 48
7 45 120 16 4 27
6 78 207 16 4 43
10 47 157 16 4 30
2.5 29 128 17 4 25
9 97 296 20 6 69
8 116 323 14 8 72
6 32 79 17 23 23
8.5 50 70 6 4 13
6 118 146 16 8 61
9 66 246 15 6 43
8 48 145 16 4 22
9 89 199 16 7 67
5.5 76 127 14 4 36
5 39 91 16 4 21
5.5 57 299 16 4 45
9 72 228 16 10 34
2 60 190 14 6 36
8.5 109 180 14 5 72
9 76 212 16 5 39
8.5 65 269 16 4 43
9 40 130 15 4 25
7.5 58 179 16 5 56
10 123 243 16 5 80
9 71 190 18 5 40
7.5 102 299 15 5 73
6 80 121 16 4 34
10.5 97 137 16 6 72
8.5 46 305 16 4 42
8 93 157 17 4 61
10 19 96 14 4 23
10.5 140 183 18 9 74
6.5 78 52 9 18 16
9.5 98 238 15 6 66
8.5 40 40 14 5 9
7.5 80 226 15 4 41
5 76 190 13 11 57
8 79 214 16 4 48
10 87 145 20 10 51
7 95 119 14 6 53
7.5 49 222 12 8 29
7.5 49 222 15 8 29
9.5 80 159 15 6 55
6 86 165 15 8 54
10 69 249 16 4 43
7 79 125 11 4 51
3 52 122 16 9 20
6 120 186 7 9 79
7 69 148 11 5 39
10 94 274 9 4 61
7 72 172 15 4 55
3.5 43 84 16 15 30
8 87 168 14 10 55
10 52 102 15 9 22
5.5 71 106 13 7 37
6 61 2 13 9 2
6.5 51 139 12 6 38
6.5 50 95 16 4 27
8.5 67 130 14 7 56
4 30 72 16 4 25
9.5 70 141 14 7 39
8 52 113 15 4 33
8.5 75 206 10 15 43
5.5 87 268 16 4 57
7 69 175 14 9 43
9 72 77 16 4 23
8 79 125 12 4 44
10 121 255 16 28 54
8 43 111 16 4 28
6 58 132 15 4 36
8 57 211 14 4 39
5 50 92 16 5 16
9 69 76 11 4 23
4.5 64 171 15 4 40
8.5 38 83 18 12 24
7 53 119 13 5 29
8.5 96 186 7 6 57
7.5 49 50 7 6 37
7.5 56 117 17 5 27
5 102 219 18 4 61
7 40 246 15 4 27
8 100 279 8 4 69
5.5 67 148 13 10 34
8.5 78 137 13 7 44
7.5 62 130 15 4 21
7 59 98 18 7 39
8 96 226 16 4 51
8.5 86 234 14 4 34
3.5 38 138 15 12 31
6.5 43 85 19 5 13
6.5 23 66 16 8 12
10.5 77 236 12 6 51
8.5 48 106 16 17 24
8 26 135 11 4 19
10 91 122 16 5 30
10 94 218 15 4 81
9.5 62 199 19 5 42
9 74 112 15 5 22
10 114 278 14 6 85
7.5 52 94 14 4 27
4.5 64 113 17 4 25
4.5 31 84 16 4 22
0.5 38 86 20 6 19
6.5 27 62 16 8 14
4.5 105 222 9 10 45
5.5 64 167 13 4 45
5 62 82 15 5 28
6 65 207 19 4 51
4 58 184 16 4 41
8 76 83 17 4 31
10.5 140 183 16 16 74
8.5 48 85 9 4 24
8 80 225 11 4 51
8.5 71 237 14 4 73
5.5 76 102 19 14 24
7 63 221 13 5 61
5 46 128 14 5 23
3.5 53 91 15 5 14
5 74 198 15 5 54
9 70 204 14 7 51
8.5 78 158 16 19 62
5 56 138 17 16 36
9.5 100 226 12 4 59
3 51 44 15 4 24
1.5 52 196 17 7 26
6 102 83 15 9 54
0.5 78 79 10 5 39
6.5 78 52 16 14 16
7.5 55 105 15 4 36
4.5 98 116 11 16 31
8 76 83 16 10 31
9 73 196 16 5 42
7.5 47 153 16 6 39
8.5 45 157 14 4 25
7 83 75 14 4 31
9.5 60 106 16 4 38
6.5 48 58 16 5 31
9.5 50 75 18 4 17
6 56 74 14 4 22
8 77 185 20 5 55
9.5 91 265 15 4 62
8 76 131 16 4 51
8 68 139 16 5 30
9 74 196 16 8 49
5 29 78 12 15 16

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 9 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265626&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]9 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265626&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265626&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 time9 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net






Multiple Linear Regression - Estimated Regression Equation
Ex[t] = + 3.64988 -0.00409892HRFC[t] + 0.0162938BB[t] + 0.0302237CONFSTATTOT[t] + 0.0311228AMS.A[t] + 0.000885118CH[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Ex[t] =  +  3.64988 -0.00409892HRFC[t] +  0.0162938BB[t] +  0.0302237CONFSTATTOT[t] +  0.0311228AMS.A[t] +  0.000885118CH[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265626&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Ex[t] =  +  3.64988 -0.00409892HRFC[t] +  0.0162938BB[t] +  0.0302237CONFSTATTOT[t] +  0.0311228AMS.A[t] +  0.000885118CH[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265626&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265626&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] = + 3.64988 -0.00409892HRFC[t] + 0.0162938BB[t] + 0.0302237CONFSTATTOT[t] + 0.0311228AMS.A[t] + 0.000885118CH[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)3.649880.8341024.3761.72592e-058.6296e-06
HRFC-0.004098920.00767331-0.53420.5936540.296827
BB0.01629380.002493956.5333.15382e-101.57691e-10
CONFSTATTOT0.03022370.05173340.58420.5595560.279778
AMS.A0.03112280.03984380.78110.4354110.217705
CH0.0008851180.01354230.065360.9479360.473968

\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) & 3.64988 & 0.834102 & 4.376 & 1.72592e-05 & 8.6296e-06 \tabularnewline
HRFC & -0.00409892 & 0.00767331 & -0.5342 & 0.593654 & 0.296827 \tabularnewline
BB & 0.0162938 & 0.00249395 & 6.533 & 3.15382e-10 & 1.57691e-10 \tabularnewline
CONFSTATTOT & 0.0302237 & 0.0517334 & 0.5842 & 0.559556 & 0.279778 \tabularnewline
AMS.A & 0.0311228 & 0.0398438 & 0.7811 & 0.435411 & 0.217705 \tabularnewline
CH & 0.000885118 & 0.0135423 & 0.06536 & 0.947936 & 0.473968 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265626&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]3.64988[/C][C]0.834102[/C][C]4.376[/C][C]1.72592e-05[/C][C]8.6296e-06[/C][/ROW]
[ROW][C]HRFC[/C][C]-0.00409892[/C][C]0.00767331[/C][C]-0.5342[/C][C]0.593654[/C][C]0.296827[/C][/ROW]
[ROW][C]BB[/C][C]0.0162938[/C][C]0.00249395[/C][C]6.533[/C][C]3.15382e-10[/C][C]1.57691e-10[/C][/ROW]
[ROW][C]CONFSTATTOT[/C][C]0.0302237[/C][C]0.0517334[/C][C]0.5842[/C][C]0.559556[/C][C]0.279778[/C][/ROW]
[ROW][C]AMS.A[/C][C]0.0311228[/C][C]0.0398438[/C][C]0.7811[/C][C]0.435411[/C][C]0.217705[/C][/ROW]
[ROW][C]CH[/C][C]0.000885118[/C][C]0.0135423[/C][C]0.06536[/C][C]0.947936[/C][C]0.473968[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265626&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265626&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)3.649880.8341024.3761.72592e-058.6296e-06
HRFC-0.004098920.00767331-0.53420.5936540.296827
BB0.01629380.002493956.5333.15382e-101.57691e-10
CONFSTATTOT0.03022370.05173340.58420.5595560.279778
AMS.A0.03112280.03984380.78110.4354110.217705
CH0.0008851180.01354230.065360.9479360.473968






Multiple Linear Regression - Regression Statistics
Multiple R0.441068
R-squared0.194541
Adjusted R-squared0.179735
F-TEST (value)13.1391
F-TEST (DF numerator)5
F-TEST (DF denominator)272
p-value1.80962e-11
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.28583
Sum Squared Residuals1421.21

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.441068 \tabularnewline
R-squared & 0.194541 \tabularnewline
Adjusted R-squared & 0.179735 \tabularnewline
F-TEST (value) & 13.1391 \tabularnewline
F-TEST (DF numerator) & 5 \tabularnewline
F-TEST (DF denominator) & 272 \tabularnewline
p-value & 1.80962e-11 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.28583 \tabularnewline
Sum Squared Residuals & 1421.21 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265626&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.441068[/C][/ROW]
[ROW][C]R-squared[/C][C]0.194541[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.179735[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]13.1391[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]5[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]272[/C][/ROW]
[ROW][C]p-value[/C][C]1.80962e-11[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]2.28583[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]1421.21[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265626&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265626&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 R0.441068
R-squared0.194541
Adjusted R-squared0.179735
F-TEST (value)13.1391
F-TEST (DF numerator)5
F-TEST (DF denominator)272
p-value1.80962e-11
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.28583
Sum Squared Residuals1421.21






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
17.55.439162.06084
264.904321.09568
36.55.399781.10022
415.72764-4.72764
515.08865-4.08865
65.56.74886-1.24886
78.55.866992.63301
86.55.896080.603918
94.55.6113-1.1113
1026.57917-4.57917
1155.89462-0.894625
120.56.8571-6.3571
1355.264-0.263995
1456.0521-1.0521
152.54.52997-2.02997
1655.57311-0.573113
175.56.30116-0.801155
183.55.54818-2.04818
1935.53548-2.53548
2045.38953-1.38953
210.55.24975-4.74975
226.55.488691.01131
234.55.77786-1.27786
247.55.096062.40394
255.55.84205-0.342051
2646.59426-2.59426
277.55.819241.68076
2875.465961.53404
2945.0251-1.0251
305.55.58155-0.0815546
312.55.75961-3.25961
325.56.38492-0.884916
333.55.75083-2.25083
342.56.37137-3.87137
354.56.02646-1.52646
364.55.85197-1.35197
374.55.07986-0.579861
3865.938390.0616053
392.55.22734-2.72734
4056.46738-1.46738
4104.76111-4.76111
4256.25884-1.25884
436.55.117891.38211
4455.76603-0.766031
4565.157990.842011
464.55.59804-1.09804
475.56.07202-0.572023
4815.01587-4.01587
497.54.478533.02147
5064.914781.08522
5155.52792-0.527925
5215.5797-4.5797
5356.13668-1.13668
546.55.863010.636987
5576.418730.581266
564.56.36964-1.86964
5705.42804-5.42804
588.55.729732.77027
593.54.42778-0.927779
607.55.628041.87196
613.55.77642-2.27642
6264.831611.16839
631.55.21291-3.71291
6496.171972.82803
653.54.88431-1.38431
663.55.07518-1.57518
6746.29873-2.29873
686.56.083270.41673
697.55.36542.1346
7065.051270.94873
7156.00521-1.00521
725.55.077120.422882
733.55.55623-2.05623
747.54.836972.66303
756.55.779690.720313
766.56.273670.226326
776.55.140591.35941
7876.852790.147208
793.55.30998-1.80998
801.55.28741-3.78741
8144.88187-0.881869
827.54.767742.73226
834.55.62129-1.12129
8404.74465-4.74465
853.55.03858-1.53858
865.55.54189-0.0418857
8754.891210.108795
884.54.99484-0.494844
892.54.5354-2.0354
907.54.854162.64584
9174.98852.0115
9205.25677-5.25677
934.55.25943-0.759426
9436.10075-3.10075
951.55.49662-3.99662
963.54.62498-1.12498
972.55.84408-3.34408
985.55.227470.272534
9985.31892.6811
10014.4825-3.4825
10155.20468-0.20468
1024.55.52406-1.02406
10334.85764-1.85764
10434.69754-1.69754
10585.655682.34432
1062.54.65872-2.15872
10775.083111.91689
10804.89811-4.89811
10915.00499-4.00499
1103.54.75285-1.25285
1115.54.752670.747332
1125.54.714380.785624
1130.54.58749-4.08749
1147.56.426641.07336
11597.093741.90626
1169.57.167412.33259
1178.58.044470.45553
11875.026511.97349
119810.949-2.94902
120107.145562.85444
12179.15371-2.15371
1228.55.112583.38742
12398.722810.27719
1249.55.353664.14634
12547.26407-3.26407
12666.66862-0.668617
12787.436950.563052
1285.58.41894-2.91894
1299.57.480132.01987
1307.55.8961.604
13175.751961.24804
1327.58.67296-1.17296
13386.362771.63723
13476.724760.275237
13576.052650.947347
13667.34911-1.34911
137106.649983.35002
1382.56.27704-3.77704
13998.927530.0724657
14089.17315-1.17315
14166.05591-0.0559086
1428.54.902843.59716
14366.33166-0.331656
14498.065780.934221
14586.443281.55672
14697.288281.71172
1475.55.98716-0.487161
14855.59941-0.599415
1495.58.93599-3.43599
15097.894651.10535
15127.1415-5.1415
1528.56.778461.72154
15397.466361.53364
1548.58.412610.0873866
15596.204092.79591
1567.57.017490.482508
157107.815112.18489
15897.189721.81028
1597.58.77722-1.27722
16065.931680.0683199
16110.56.218584.28142
1628.59.07618-0.576185
16386.519091.48091
164105.704194.29581
16510.56.947433.55257
1666.55.023831.47617
1679.57.824621.67538
1688.54.724393.77561
1697.57.6185-0.118502
17057.21989-2.21989
17187.463490.536505
172106.616723.38328
17375.856221.14378
1747.57.70359-0.203592
1757.57.79426-0.294263
1769.56.601452.89855
17766.73598-0.735984
178108.070341.92966
17975.864881.13512
18036.20597-3.20597
18166.75025-0.750252
18276.301130.698869
183108.179581.82042
18476.783820.216181
1853.55.81928-2.31928
18686.813671.18633
187105.851644.14836
1885.55.72952-0.229516
18964.107221.89278
1906.56.288730.211272
1916.55.624810.875187
1928.56.1842.316
19345.33026-1.33026
1949.56.335893.16411
19585.884992.11501
1968.57.506120.993877
1975.58.31854-2.81854
19876.959770.0402337
19995.237813.76219
20085.888912.11109
201108.711641.28836
20285.915092.08491
20366.17263-0.172635
20487.436380.563624
20555.59732-0.597318
20695.082693.91731
2074.56.78704-2.28704
2088.55.785252.71475
20975.945791.05421
2108.56.735781.76422
2117.54.694772.80523
2127.56.020031.47997
21357.52264-2.52264
21478.09594-1.09594
21588.21331-0.213313
2165.56.52096-1.02096
2178.56.212132.28787
2187.56.110371.38963
21975.801241.19876
22087.591990.408006
2218.57.687840.812161
2223.56.59693-3.09693
2236.55.599970.900031
2246.55.374181.12582
22510.57.774162.72584
2268.56.214182.28582
22786.216741.78326
228105.930474.06953
229107.466172.53383
2309.57.405252.09475
23195.799913.20009
232108.397381.60262
2337.55.539871.96013
2344.55.88917-1.38917
2354.55.51903-1.01903
2360.55.70342-5.20342
2376.55.294381.20562
2384.57.45979-2.95979
2395.56.66584-1.16584
24055.36559-0.365591
24167.50015-1.50015
24247.05456-3.05456
24385.356482.64352
24410.57.104843.39516
2458.55.255853.24415
24687.490160.509836
2478.57.832720.667276
2485.56.03154-0.531541
24977.59509-0.595092
25056.14604-1.14604
2513.55.53673-2.03673
25257.2295-2.2295
25397.373021.62698
2548.57.034371.46563
25556.71252-1.71252
2569.57.461782.03822
25734.75685-1.75685
2581.57.385-5.885
25965.365430.634568
2600.55.10974-4.60974
2616.55.11091.3891
2627.55.7451.755
2634.55.99613-1.49613
26485.512992.48701
26597.220611.77939
2667.56.655020.844983
2678.56.593311.90669
26875.106771.89323
2699.55.772793.72721
2706.55.06481.4352
2719.55.350534.14947
27265.193180.806824
27387.157390.842614
2749.58.227461.27254
27586.126061.87394
27686.301741.69826
27797.316081.68392
27855.64561-0.645615

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 7.5 & 5.43916 & 2.06084 \tabularnewline
2 & 6 & 4.90432 & 1.09568 \tabularnewline
3 & 6.5 & 5.39978 & 1.10022 \tabularnewline
4 & 1 & 5.72764 & -4.72764 \tabularnewline
5 & 1 & 5.08865 & -4.08865 \tabularnewline
6 & 5.5 & 6.74886 & -1.24886 \tabularnewline
7 & 8.5 & 5.86699 & 2.63301 \tabularnewline
8 & 6.5 & 5.89608 & 0.603918 \tabularnewline
9 & 4.5 & 5.6113 & -1.1113 \tabularnewline
10 & 2 & 6.57917 & -4.57917 \tabularnewline
11 & 5 & 5.89462 & -0.894625 \tabularnewline
12 & 0.5 & 6.8571 & -6.3571 \tabularnewline
13 & 5 & 5.264 & -0.263995 \tabularnewline
14 & 5 & 6.0521 & -1.0521 \tabularnewline
15 & 2.5 & 4.52997 & -2.02997 \tabularnewline
16 & 5 & 5.57311 & -0.573113 \tabularnewline
17 & 5.5 & 6.30116 & -0.801155 \tabularnewline
18 & 3.5 & 5.54818 & -2.04818 \tabularnewline
19 & 3 & 5.53548 & -2.53548 \tabularnewline
20 & 4 & 5.38953 & -1.38953 \tabularnewline
21 & 0.5 & 5.24975 & -4.74975 \tabularnewline
22 & 6.5 & 5.48869 & 1.01131 \tabularnewline
23 & 4.5 & 5.77786 & -1.27786 \tabularnewline
24 & 7.5 & 5.09606 & 2.40394 \tabularnewline
25 & 5.5 & 5.84205 & -0.342051 \tabularnewline
26 & 4 & 6.59426 & -2.59426 \tabularnewline
27 & 7.5 & 5.81924 & 1.68076 \tabularnewline
28 & 7 & 5.46596 & 1.53404 \tabularnewline
29 & 4 & 5.0251 & -1.0251 \tabularnewline
30 & 5.5 & 5.58155 & -0.0815546 \tabularnewline
31 & 2.5 & 5.75961 & -3.25961 \tabularnewline
32 & 5.5 & 6.38492 & -0.884916 \tabularnewline
33 & 3.5 & 5.75083 & -2.25083 \tabularnewline
34 & 2.5 & 6.37137 & -3.87137 \tabularnewline
35 & 4.5 & 6.02646 & -1.52646 \tabularnewline
36 & 4.5 & 5.85197 & -1.35197 \tabularnewline
37 & 4.5 & 5.07986 & -0.579861 \tabularnewline
38 & 6 & 5.93839 & 0.0616053 \tabularnewline
39 & 2.5 & 5.22734 & -2.72734 \tabularnewline
40 & 5 & 6.46738 & -1.46738 \tabularnewline
41 & 0 & 4.76111 & -4.76111 \tabularnewline
42 & 5 & 6.25884 & -1.25884 \tabularnewline
43 & 6.5 & 5.11789 & 1.38211 \tabularnewline
44 & 5 & 5.76603 & -0.766031 \tabularnewline
45 & 6 & 5.15799 & 0.842011 \tabularnewline
46 & 4.5 & 5.59804 & -1.09804 \tabularnewline
47 & 5.5 & 6.07202 & -0.572023 \tabularnewline
48 & 1 & 5.01587 & -4.01587 \tabularnewline
49 & 7.5 & 4.47853 & 3.02147 \tabularnewline
50 & 6 & 4.91478 & 1.08522 \tabularnewline
51 & 5 & 5.52792 & -0.527925 \tabularnewline
52 & 1 & 5.5797 & -4.5797 \tabularnewline
53 & 5 & 6.13668 & -1.13668 \tabularnewline
54 & 6.5 & 5.86301 & 0.636987 \tabularnewline
55 & 7 & 6.41873 & 0.581266 \tabularnewline
56 & 4.5 & 6.36964 & -1.86964 \tabularnewline
57 & 0 & 5.42804 & -5.42804 \tabularnewline
58 & 8.5 & 5.72973 & 2.77027 \tabularnewline
59 & 3.5 & 4.42778 & -0.927779 \tabularnewline
60 & 7.5 & 5.62804 & 1.87196 \tabularnewline
61 & 3.5 & 5.77642 & -2.27642 \tabularnewline
62 & 6 & 4.83161 & 1.16839 \tabularnewline
63 & 1.5 & 5.21291 & -3.71291 \tabularnewline
64 & 9 & 6.17197 & 2.82803 \tabularnewline
65 & 3.5 & 4.88431 & -1.38431 \tabularnewline
66 & 3.5 & 5.07518 & -1.57518 \tabularnewline
67 & 4 & 6.29873 & -2.29873 \tabularnewline
68 & 6.5 & 6.08327 & 0.41673 \tabularnewline
69 & 7.5 & 5.3654 & 2.1346 \tabularnewline
70 & 6 & 5.05127 & 0.94873 \tabularnewline
71 & 5 & 6.00521 & -1.00521 \tabularnewline
72 & 5.5 & 5.07712 & 0.422882 \tabularnewline
73 & 3.5 & 5.55623 & -2.05623 \tabularnewline
74 & 7.5 & 4.83697 & 2.66303 \tabularnewline
75 & 6.5 & 5.77969 & 0.720313 \tabularnewline
76 & 6.5 & 6.27367 & 0.226326 \tabularnewline
77 & 6.5 & 5.14059 & 1.35941 \tabularnewline
78 & 7 & 6.85279 & 0.147208 \tabularnewline
79 & 3.5 & 5.30998 & -1.80998 \tabularnewline
80 & 1.5 & 5.28741 & -3.78741 \tabularnewline
81 & 4 & 4.88187 & -0.881869 \tabularnewline
82 & 7.5 & 4.76774 & 2.73226 \tabularnewline
83 & 4.5 & 5.62129 & -1.12129 \tabularnewline
84 & 0 & 4.74465 & -4.74465 \tabularnewline
85 & 3.5 & 5.03858 & -1.53858 \tabularnewline
86 & 5.5 & 5.54189 & -0.0418857 \tabularnewline
87 & 5 & 4.89121 & 0.108795 \tabularnewline
88 & 4.5 & 4.99484 & -0.494844 \tabularnewline
89 & 2.5 & 4.5354 & -2.0354 \tabularnewline
90 & 7.5 & 4.85416 & 2.64584 \tabularnewline
91 & 7 & 4.9885 & 2.0115 \tabularnewline
92 & 0 & 5.25677 & -5.25677 \tabularnewline
93 & 4.5 & 5.25943 & -0.759426 \tabularnewline
94 & 3 & 6.10075 & -3.10075 \tabularnewline
95 & 1.5 & 5.49662 & -3.99662 \tabularnewline
96 & 3.5 & 4.62498 & -1.12498 \tabularnewline
97 & 2.5 & 5.84408 & -3.34408 \tabularnewline
98 & 5.5 & 5.22747 & 0.272534 \tabularnewline
99 & 8 & 5.3189 & 2.6811 \tabularnewline
100 & 1 & 4.4825 & -3.4825 \tabularnewline
101 & 5 & 5.20468 & -0.20468 \tabularnewline
102 & 4.5 & 5.52406 & -1.02406 \tabularnewline
103 & 3 & 4.85764 & -1.85764 \tabularnewline
104 & 3 & 4.69754 & -1.69754 \tabularnewline
105 & 8 & 5.65568 & 2.34432 \tabularnewline
106 & 2.5 & 4.65872 & -2.15872 \tabularnewline
107 & 7 & 5.08311 & 1.91689 \tabularnewline
108 & 0 & 4.89811 & -4.89811 \tabularnewline
109 & 1 & 5.00499 & -4.00499 \tabularnewline
110 & 3.5 & 4.75285 & -1.25285 \tabularnewline
111 & 5.5 & 4.75267 & 0.747332 \tabularnewline
112 & 5.5 & 4.71438 & 0.785624 \tabularnewline
113 & 0.5 & 4.58749 & -4.08749 \tabularnewline
114 & 7.5 & 6.42664 & 1.07336 \tabularnewline
115 & 9 & 7.09374 & 1.90626 \tabularnewline
116 & 9.5 & 7.16741 & 2.33259 \tabularnewline
117 & 8.5 & 8.04447 & 0.45553 \tabularnewline
118 & 7 & 5.02651 & 1.97349 \tabularnewline
119 & 8 & 10.949 & -2.94902 \tabularnewline
120 & 10 & 7.14556 & 2.85444 \tabularnewline
121 & 7 & 9.15371 & -2.15371 \tabularnewline
122 & 8.5 & 5.11258 & 3.38742 \tabularnewline
123 & 9 & 8.72281 & 0.27719 \tabularnewline
124 & 9.5 & 5.35366 & 4.14634 \tabularnewline
125 & 4 & 7.26407 & -3.26407 \tabularnewline
126 & 6 & 6.66862 & -0.668617 \tabularnewline
127 & 8 & 7.43695 & 0.563052 \tabularnewline
128 & 5.5 & 8.41894 & -2.91894 \tabularnewline
129 & 9.5 & 7.48013 & 2.01987 \tabularnewline
130 & 7.5 & 5.896 & 1.604 \tabularnewline
131 & 7 & 5.75196 & 1.24804 \tabularnewline
132 & 7.5 & 8.67296 & -1.17296 \tabularnewline
133 & 8 & 6.36277 & 1.63723 \tabularnewline
134 & 7 & 6.72476 & 0.275237 \tabularnewline
135 & 7 & 6.05265 & 0.947347 \tabularnewline
136 & 6 & 7.34911 & -1.34911 \tabularnewline
137 & 10 & 6.64998 & 3.35002 \tabularnewline
138 & 2.5 & 6.27704 & -3.77704 \tabularnewline
139 & 9 & 8.92753 & 0.0724657 \tabularnewline
140 & 8 & 9.17315 & -1.17315 \tabularnewline
141 & 6 & 6.05591 & -0.0559086 \tabularnewline
142 & 8.5 & 4.90284 & 3.59716 \tabularnewline
143 & 6 & 6.33166 & -0.331656 \tabularnewline
144 & 9 & 8.06578 & 0.934221 \tabularnewline
145 & 8 & 6.44328 & 1.55672 \tabularnewline
146 & 9 & 7.28828 & 1.71172 \tabularnewline
147 & 5.5 & 5.98716 & -0.487161 \tabularnewline
148 & 5 & 5.59941 & -0.599415 \tabularnewline
149 & 5.5 & 8.93599 & -3.43599 \tabularnewline
150 & 9 & 7.89465 & 1.10535 \tabularnewline
151 & 2 & 7.1415 & -5.1415 \tabularnewline
152 & 8.5 & 6.77846 & 1.72154 \tabularnewline
153 & 9 & 7.46636 & 1.53364 \tabularnewline
154 & 8.5 & 8.41261 & 0.0873866 \tabularnewline
155 & 9 & 6.20409 & 2.79591 \tabularnewline
156 & 7.5 & 7.01749 & 0.482508 \tabularnewline
157 & 10 & 7.81511 & 2.18489 \tabularnewline
158 & 9 & 7.18972 & 1.81028 \tabularnewline
159 & 7.5 & 8.77722 & -1.27722 \tabularnewline
160 & 6 & 5.93168 & 0.0683199 \tabularnewline
161 & 10.5 & 6.21858 & 4.28142 \tabularnewline
162 & 8.5 & 9.07618 & -0.576185 \tabularnewline
163 & 8 & 6.51909 & 1.48091 \tabularnewline
164 & 10 & 5.70419 & 4.29581 \tabularnewline
165 & 10.5 & 6.94743 & 3.55257 \tabularnewline
166 & 6.5 & 5.02383 & 1.47617 \tabularnewline
167 & 9.5 & 7.82462 & 1.67538 \tabularnewline
168 & 8.5 & 4.72439 & 3.77561 \tabularnewline
169 & 7.5 & 7.6185 & -0.118502 \tabularnewline
170 & 5 & 7.21989 & -2.21989 \tabularnewline
171 & 8 & 7.46349 & 0.536505 \tabularnewline
172 & 10 & 6.61672 & 3.38328 \tabularnewline
173 & 7 & 5.85622 & 1.14378 \tabularnewline
174 & 7.5 & 7.70359 & -0.203592 \tabularnewline
175 & 7.5 & 7.79426 & -0.294263 \tabularnewline
176 & 9.5 & 6.60145 & 2.89855 \tabularnewline
177 & 6 & 6.73598 & -0.735984 \tabularnewline
178 & 10 & 8.07034 & 1.92966 \tabularnewline
179 & 7 & 5.86488 & 1.13512 \tabularnewline
180 & 3 & 6.20597 & -3.20597 \tabularnewline
181 & 6 & 6.75025 & -0.750252 \tabularnewline
182 & 7 & 6.30113 & 0.698869 \tabularnewline
183 & 10 & 8.17958 & 1.82042 \tabularnewline
184 & 7 & 6.78382 & 0.216181 \tabularnewline
185 & 3.5 & 5.81928 & -2.31928 \tabularnewline
186 & 8 & 6.81367 & 1.18633 \tabularnewline
187 & 10 & 5.85164 & 4.14836 \tabularnewline
188 & 5.5 & 5.72952 & -0.229516 \tabularnewline
189 & 6 & 4.10722 & 1.89278 \tabularnewline
190 & 6.5 & 6.28873 & 0.211272 \tabularnewline
191 & 6.5 & 5.62481 & 0.875187 \tabularnewline
192 & 8.5 & 6.184 & 2.316 \tabularnewline
193 & 4 & 5.33026 & -1.33026 \tabularnewline
194 & 9.5 & 6.33589 & 3.16411 \tabularnewline
195 & 8 & 5.88499 & 2.11501 \tabularnewline
196 & 8.5 & 7.50612 & 0.993877 \tabularnewline
197 & 5.5 & 8.31854 & -2.81854 \tabularnewline
198 & 7 & 6.95977 & 0.0402337 \tabularnewline
199 & 9 & 5.23781 & 3.76219 \tabularnewline
200 & 8 & 5.88891 & 2.11109 \tabularnewline
201 & 10 & 8.71164 & 1.28836 \tabularnewline
202 & 8 & 5.91509 & 2.08491 \tabularnewline
203 & 6 & 6.17263 & -0.172635 \tabularnewline
204 & 8 & 7.43638 & 0.563624 \tabularnewline
205 & 5 & 5.59732 & -0.597318 \tabularnewline
206 & 9 & 5.08269 & 3.91731 \tabularnewline
207 & 4.5 & 6.78704 & -2.28704 \tabularnewline
208 & 8.5 & 5.78525 & 2.71475 \tabularnewline
209 & 7 & 5.94579 & 1.05421 \tabularnewline
210 & 8.5 & 6.73578 & 1.76422 \tabularnewline
211 & 7.5 & 4.69477 & 2.80523 \tabularnewline
212 & 7.5 & 6.02003 & 1.47997 \tabularnewline
213 & 5 & 7.52264 & -2.52264 \tabularnewline
214 & 7 & 8.09594 & -1.09594 \tabularnewline
215 & 8 & 8.21331 & -0.213313 \tabularnewline
216 & 5.5 & 6.52096 & -1.02096 \tabularnewline
217 & 8.5 & 6.21213 & 2.28787 \tabularnewline
218 & 7.5 & 6.11037 & 1.38963 \tabularnewline
219 & 7 & 5.80124 & 1.19876 \tabularnewline
220 & 8 & 7.59199 & 0.408006 \tabularnewline
221 & 8.5 & 7.68784 & 0.812161 \tabularnewline
222 & 3.5 & 6.59693 & -3.09693 \tabularnewline
223 & 6.5 & 5.59997 & 0.900031 \tabularnewline
224 & 6.5 & 5.37418 & 1.12582 \tabularnewline
225 & 10.5 & 7.77416 & 2.72584 \tabularnewline
226 & 8.5 & 6.21418 & 2.28582 \tabularnewline
227 & 8 & 6.21674 & 1.78326 \tabularnewline
228 & 10 & 5.93047 & 4.06953 \tabularnewline
229 & 10 & 7.46617 & 2.53383 \tabularnewline
230 & 9.5 & 7.40525 & 2.09475 \tabularnewline
231 & 9 & 5.79991 & 3.20009 \tabularnewline
232 & 10 & 8.39738 & 1.60262 \tabularnewline
233 & 7.5 & 5.53987 & 1.96013 \tabularnewline
234 & 4.5 & 5.88917 & -1.38917 \tabularnewline
235 & 4.5 & 5.51903 & -1.01903 \tabularnewline
236 & 0.5 & 5.70342 & -5.20342 \tabularnewline
237 & 6.5 & 5.29438 & 1.20562 \tabularnewline
238 & 4.5 & 7.45979 & -2.95979 \tabularnewline
239 & 5.5 & 6.66584 & -1.16584 \tabularnewline
240 & 5 & 5.36559 & -0.365591 \tabularnewline
241 & 6 & 7.50015 & -1.50015 \tabularnewline
242 & 4 & 7.05456 & -3.05456 \tabularnewline
243 & 8 & 5.35648 & 2.64352 \tabularnewline
244 & 10.5 & 7.10484 & 3.39516 \tabularnewline
245 & 8.5 & 5.25585 & 3.24415 \tabularnewline
246 & 8 & 7.49016 & 0.509836 \tabularnewline
247 & 8.5 & 7.83272 & 0.667276 \tabularnewline
248 & 5.5 & 6.03154 & -0.531541 \tabularnewline
249 & 7 & 7.59509 & -0.595092 \tabularnewline
250 & 5 & 6.14604 & -1.14604 \tabularnewline
251 & 3.5 & 5.53673 & -2.03673 \tabularnewline
252 & 5 & 7.2295 & -2.2295 \tabularnewline
253 & 9 & 7.37302 & 1.62698 \tabularnewline
254 & 8.5 & 7.03437 & 1.46563 \tabularnewline
255 & 5 & 6.71252 & -1.71252 \tabularnewline
256 & 9.5 & 7.46178 & 2.03822 \tabularnewline
257 & 3 & 4.75685 & -1.75685 \tabularnewline
258 & 1.5 & 7.385 & -5.885 \tabularnewline
259 & 6 & 5.36543 & 0.634568 \tabularnewline
260 & 0.5 & 5.10974 & -4.60974 \tabularnewline
261 & 6.5 & 5.1109 & 1.3891 \tabularnewline
262 & 7.5 & 5.745 & 1.755 \tabularnewline
263 & 4.5 & 5.99613 & -1.49613 \tabularnewline
264 & 8 & 5.51299 & 2.48701 \tabularnewline
265 & 9 & 7.22061 & 1.77939 \tabularnewline
266 & 7.5 & 6.65502 & 0.844983 \tabularnewline
267 & 8.5 & 6.59331 & 1.90669 \tabularnewline
268 & 7 & 5.10677 & 1.89323 \tabularnewline
269 & 9.5 & 5.77279 & 3.72721 \tabularnewline
270 & 6.5 & 5.0648 & 1.4352 \tabularnewline
271 & 9.5 & 5.35053 & 4.14947 \tabularnewline
272 & 6 & 5.19318 & 0.806824 \tabularnewline
273 & 8 & 7.15739 & 0.842614 \tabularnewline
274 & 9.5 & 8.22746 & 1.27254 \tabularnewline
275 & 8 & 6.12606 & 1.87394 \tabularnewline
276 & 8 & 6.30174 & 1.69826 \tabularnewline
277 & 9 & 7.31608 & 1.68392 \tabularnewline
278 & 5 & 5.64561 & -0.645615 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265626&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]5.43916[/C][C]2.06084[/C][/ROW]
[ROW][C]2[/C][C]6[/C][C]4.90432[/C][C]1.09568[/C][/ROW]
[ROW][C]3[/C][C]6.5[/C][C]5.39978[/C][C]1.10022[/C][/ROW]
[ROW][C]4[/C][C]1[/C][C]5.72764[/C][C]-4.72764[/C][/ROW]
[ROW][C]5[/C][C]1[/C][C]5.08865[/C][C]-4.08865[/C][/ROW]
[ROW][C]6[/C][C]5.5[/C][C]6.74886[/C][C]-1.24886[/C][/ROW]
[ROW][C]7[/C][C]8.5[/C][C]5.86699[/C][C]2.63301[/C][/ROW]
[ROW][C]8[/C][C]6.5[/C][C]5.89608[/C][C]0.603918[/C][/ROW]
[ROW][C]9[/C][C]4.5[/C][C]5.6113[/C][C]-1.1113[/C][/ROW]
[ROW][C]10[/C][C]2[/C][C]6.57917[/C][C]-4.57917[/C][/ROW]
[ROW][C]11[/C][C]5[/C][C]5.89462[/C][C]-0.894625[/C][/ROW]
[ROW][C]12[/C][C]0.5[/C][C]6.8571[/C][C]-6.3571[/C][/ROW]
[ROW][C]13[/C][C]5[/C][C]5.264[/C][C]-0.263995[/C][/ROW]
[ROW][C]14[/C][C]5[/C][C]6.0521[/C][C]-1.0521[/C][/ROW]
[ROW][C]15[/C][C]2.5[/C][C]4.52997[/C][C]-2.02997[/C][/ROW]
[ROW][C]16[/C][C]5[/C][C]5.57311[/C][C]-0.573113[/C][/ROW]
[ROW][C]17[/C][C]5.5[/C][C]6.30116[/C][C]-0.801155[/C][/ROW]
[ROW][C]18[/C][C]3.5[/C][C]5.54818[/C][C]-2.04818[/C][/ROW]
[ROW][C]19[/C][C]3[/C][C]5.53548[/C][C]-2.53548[/C][/ROW]
[ROW][C]20[/C][C]4[/C][C]5.38953[/C][C]-1.38953[/C][/ROW]
[ROW][C]21[/C][C]0.5[/C][C]5.24975[/C][C]-4.74975[/C][/ROW]
[ROW][C]22[/C][C]6.5[/C][C]5.48869[/C][C]1.01131[/C][/ROW]
[ROW][C]23[/C][C]4.5[/C][C]5.77786[/C][C]-1.27786[/C][/ROW]
[ROW][C]24[/C][C]7.5[/C][C]5.09606[/C][C]2.40394[/C][/ROW]
[ROW][C]25[/C][C]5.5[/C][C]5.84205[/C][C]-0.342051[/C][/ROW]
[ROW][C]26[/C][C]4[/C][C]6.59426[/C][C]-2.59426[/C][/ROW]
[ROW][C]27[/C][C]7.5[/C][C]5.81924[/C][C]1.68076[/C][/ROW]
[ROW][C]28[/C][C]7[/C][C]5.46596[/C][C]1.53404[/C][/ROW]
[ROW][C]29[/C][C]4[/C][C]5.0251[/C][C]-1.0251[/C][/ROW]
[ROW][C]30[/C][C]5.5[/C][C]5.58155[/C][C]-0.0815546[/C][/ROW]
[ROW][C]31[/C][C]2.5[/C][C]5.75961[/C][C]-3.25961[/C][/ROW]
[ROW][C]32[/C][C]5.5[/C][C]6.38492[/C][C]-0.884916[/C][/ROW]
[ROW][C]33[/C][C]3.5[/C][C]5.75083[/C][C]-2.25083[/C][/ROW]
[ROW][C]34[/C][C]2.5[/C][C]6.37137[/C][C]-3.87137[/C][/ROW]
[ROW][C]35[/C][C]4.5[/C][C]6.02646[/C][C]-1.52646[/C][/ROW]
[ROW][C]36[/C][C]4.5[/C][C]5.85197[/C][C]-1.35197[/C][/ROW]
[ROW][C]37[/C][C]4.5[/C][C]5.07986[/C][C]-0.579861[/C][/ROW]
[ROW][C]38[/C][C]6[/C][C]5.93839[/C][C]0.0616053[/C][/ROW]
[ROW][C]39[/C][C]2.5[/C][C]5.22734[/C][C]-2.72734[/C][/ROW]
[ROW][C]40[/C][C]5[/C][C]6.46738[/C][C]-1.46738[/C][/ROW]
[ROW][C]41[/C][C]0[/C][C]4.76111[/C][C]-4.76111[/C][/ROW]
[ROW][C]42[/C][C]5[/C][C]6.25884[/C][C]-1.25884[/C][/ROW]
[ROW][C]43[/C][C]6.5[/C][C]5.11789[/C][C]1.38211[/C][/ROW]
[ROW][C]44[/C][C]5[/C][C]5.76603[/C][C]-0.766031[/C][/ROW]
[ROW][C]45[/C][C]6[/C][C]5.15799[/C][C]0.842011[/C][/ROW]
[ROW][C]46[/C][C]4.5[/C][C]5.59804[/C][C]-1.09804[/C][/ROW]
[ROW][C]47[/C][C]5.5[/C][C]6.07202[/C][C]-0.572023[/C][/ROW]
[ROW][C]48[/C][C]1[/C][C]5.01587[/C][C]-4.01587[/C][/ROW]
[ROW][C]49[/C][C]7.5[/C][C]4.47853[/C][C]3.02147[/C][/ROW]
[ROW][C]50[/C][C]6[/C][C]4.91478[/C][C]1.08522[/C][/ROW]
[ROW][C]51[/C][C]5[/C][C]5.52792[/C][C]-0.527925[/C][/ROW]
[ROW][C]52[/C][C]1[/C][C]5.5797[/C][C]-4.5797[/C][/ROW]
[ROW][C]53[/C][C]5[/C][C]6.13668[/C][C]-1.13668[/C][/ROW]
[ROW][C]54[/C][C]6.5[/C][C]5.86301[/C][C]0.636987[/C][/ROW]
[ROW][C]55[/C][C]7[/C][C]6.41873[/C][C]0.581266[/C][/ROW]
[ROW][C]56[/C][C]4.5[/C][C]6.36964[/C][C]-1.86964[/C][/ROW]
[ROW][C]57[/C][C]0[/C][C]5.42804[/C][C]-5.42804[/C][/ROW]
[ROW][C]58[/C][C]8.5[/C][C]5.72973[/C][C]2.77027[/C][/ROW]
[ROW][C]59[/C][C]3.5[/C][C]4.42778[/C][C]-0.927779[/C][/ROW]
[ROW][C]60[/C][C]7.5[/C][C]5.62804[/C][C]1.87196[/C][/ROW]
[ROW][C]61[/C][C]3.5[/C][C]5.77642[/C][C]-2.27642[/C][/ROW]
[ROW][C]62[/C][C]6[/C][C]4.83161[/C][C]1.16839[/C][/ROW]
[ROW][C]63[/C][C]1.5[/C][C]5.21291[/C][C]-3.71291[/C][/ROW]
[ROW][C]64[/C][C]9[/C][C]6.17197[/C][C]2.82803[/C][/ROW]
[ROW][C]65[/C][C]3.5[/C][C]4.88431[/C][C]-1.38431[/C][/ROW]
[ROW][C]66[/C][C]3.5[/C][C]5.07518[/C][C]-1.57518[/C][/ROW]
[ROW][C]67[/C][C]4[/C][C]6.29873[/C][C]-2.29873[/C][/ROW]
[ROW][C]68[/C][C]6.5[/C][C]6.08327[/C][C]0.41673[/C][/ROW]
[ROW][C]69[/C][C]7.5[/C][C]5.3654[/C][C]2.1346[/C][/ROW]
[ROW][C]70[/C][C]6[/C][C]5.05127[/C][C]0.94873[/C][/ROW]
[ROW][C]71[/C][C]5[/C][C]6.00521[/C][C]-1.00521[/C][/ROW]
[ROW][C]72[/C][C]5.5[/C][C]5.07712[/C][C]0.422882[/C][/ROW]
[ROW][C]73[/C][C]3.5[/C][C]5.55623[/C][C]-2.05623[/C][/ROW]
[ROW][C]74[/C][C]7.5[/C][C]4.83697[/C][C]2.66303[/C][/ROW]
[ROW][C]75[/C][C]6.5[/C][C]5.77969[/C][C]0.720313[/C][/ROW]
[ROW][C]76[/C][C]6.5[/C][C]6.27367[/C][C]0.226326[/C][/ROW]
[ROW][C]77[/C][C]6.5[/C][C]5.14059[/C][C]1.35941[/C][/ROW]
[ROW][C]78[/C][C]7[/C][C]6.85279[/C][C]0.147208[/C][/ROW]
[ROW][C]79[/C][C]3.5[/C][C]5.30998[/C][C]-1.80998[/C][/ROW]
[ROW][C]80[/C][C]1.5[/C][C]5.28741[/C][C]-3.78741[/C][/ROW]
[ROW][C]81[/C][C]4[/C][C]4.88187[/C][C]-0.881869[/C][/ROW]
[ROW][C]82[/C][C]7.5[/C][C]4.76774[/C][C]2.73226[/C][/ROW]
[ROW][C]83[/C][C]4.5[/C][C]5.62129[/C][C]-1.12129[/C][/ROW]
[ROW][C]84[/C][C]0[/C][C]4.74465[/C][C]-4.74465[/C][/ROW]
[ROW][C]85[/C][C]3.5[/C][C]5.03858[/C][C]-1.53858[/C][/ROW]
[ROW][C]86[/C][C]5.5[/C][C]5.54189[/C][C]-0.0418857[/C][/ROW]
[ROW][C]87[/C][C]5[/C][C]4.89121[/C][C]0.108795[/C][/ROW]
[ROW][C]88[/C][C]4.5[/C][C]4.99484[/C][C]-0.494844[/C][/ROW]
[ROW][C]89[/C][C]2.5[/C][C]4.5354[/C][C]-2.0354[/C][/ROW]
[ROW][C]90[/C][C]7.5[/C][C]4.85416[/C][C]2.64584[/C][/ROW]
[ROW][C]91[/C][C]7[/C][C]4.9885[/C][C]2.0115[/C][/ROW]
[ROW][C]92[/C][C]0[/C][C]5.25677[/C][C]-5.25677[/C][/ROW]
[ROW][C]93[/C][C]4.5[/C][C]5.25943[/C][C]-0.759426[/C][/ROW]
[ROW][C]94[/C][C]3[/C][C]6.10075[/C][C]-3.10075[/C][/ROW]
[ROW][C]95[/C][C]1.5[/C][C]5.49662[/C][C]-3.99662[/C][/ROW]
[ROW][C]96[/C][C]3.5[/C][C]4.62498[/C][C]-1.12498[/C][/ROW]
[ROW][C]97[/C][C]2.5[/C][C]5.84408[/C][C]-3.34408[/C][/ROW]
[ROW][C]98[/C][C]5.5[/C][C]5.22747[/C][C]0.272534[/C][/ROW]
[ROW][C]99[/C][C]8[/C][C]5.3189[/C][C]2.6811[/C][/ROW]
[ROW][C]100[/C][C]1[/C][C]4.4825[/C][C]-3.4825[/C][/ROW]
[ROW][C]101[/C][C]5[/C][C]5.20468[/C][C]-0.20468[/C][/ROW]
[ROW][C]102[/C][C]4.5[/C][C]5.52406[/C][C]-1.02406[/C][/ROW]
[ROW][C]103[/C][C]3[/C][C]4.85764[/C][C]-1.85764[/C][/ROW]
[ROW][C]104[/C][C]3[/C][C]4.69754[/C][C]-1.69754[/C][/ROW]
[ROW][C]105[/C][C]8[/C][C]5.65568[/C][C]2.34432[/C][/ROW]
[ROW][C]106[/C][C]2.5[/C][C]4.65872[/C][C]-2.15872[/C][/ROW]
[ROW][C]107[/C][C]7[/C][C]5.08311[/C][C]1.91689[/C][/ROW]
[ROW][C]108[/C][C]0[/C][C]4.89811[/C][C]-4.89811[/C][/ROW]
[ROW][C]109[/C][C]1[/C][C]5.00499[/C][C]-4.00499[/C][/ROW]
[ROW][C]110[/C][C]3.5[/C][C]4.75285[/C][C]-1.25285[/C][/ROW]
[ROW][C]111[/C][C]5.5[/C][C]4.75267[/C][C]0.747332[/C][/ROW]
[ROW][C]112[/C][C]5.5[/C][C]4.71438[/C][C]0.785624[/C][/ROW]
[ROW][C]113[/C][C]0.5[/C][C]4.58749[/C][C]-4.08749[/C][/ROW]
[ROW][C]114[/C][C]7.5[/C][C]6.42664[/C][C]1.07336[/C][/ROW]
[ROW][C]115[/C][C]9[/C][C]7.09374[/C][C]1.90626[/C][/ROW]
[ROW][C]116[/C][C]9.5[/C][C]7.16741[/C][C]2.33259[/C][/ROW]
[ROW][C]117[/C][C]8.5[/C][C]8.04447[/C][C]0.45553[/C][/ROW]
[ROW][C]118[/C][C]7[/C][C]5.02651[/C][C]1.97349[/C][/ROW]
[ROW][C]119[/C][C]8[/C][C]10.949[/C][C]-2.94902[/C][/ROW]
[ROW][C]120[/C][C]10[/C][C]7.14556[/C][C]2.85444[/C][/ROW]
[ROW][C]121[/C][C]7[/C][C]9.15371[/C][C]-2.15371[/C][/ROW]
[ROW][C]122[/C][C]8.5[/C][C]5.11258[/C][C]3.38742[/C][/ROW]
[ROW][C]123[/C][C]9[/C][C]8.72281[/C][C]0.27719[/C][/ROW]
[ROW][C]124[/C][C]9.5[/C][C]5.35366[/C][C]4.14634[/C][/ROW]
[ROW][C]125[/C][C]4[/C][C]7.26407[/C][C]-3.26407[/C][/ROW]
[ROW][C]126[/C][C]6[/C][C]6.66862[/C][C]-0.668617[/C][/ROW]
[ROW][C]127[/C][C]8[/C][C]7.43695[/C][C]0.563052[/C][/ROW]
[ROW][C]128[/C][C]5.5[/C][C]8.41894[/C][C]-2.91894[/C][/ROW]
[ROW][C]129[/C][C]9.5[/C][C]7.48013[/C][C]2.01987[/C][/ROW]
[ROW][C]130[/C][C]7.5[/C][C]5.896[/C][C]1.604[/C][/ROW]
[ROW][C]131[/C][C]7[/C][C]5.75196[/C][C]1.24804[/C][/ROW]
[ROW][C]132[/C][C]7.5[/C][C]8.67296[/C][C]-1.17296[/C][/ROW]
[ROW][C]133[/C][C]8[/C][C]6.36277[/C][C]1.63723[/C][/ROW]
[ROW][C]134[/C][C]7[/C][C]6.72476[/C][C]0.275237[/C][/ROW]
[ROW][C]135[/C][C]7[/C][C]6.05265[/C][C]0.947347[/C][/ROW]
[ROW][C]136[/C][C]6[/C][C]7.34911[/C][C]-1.34911[/C][/ROW]
[ROW][C]137[/C][C]10[/C][C]6.64998[/C][C]3.35002[/C][/ROW]
[ROW][C]138[/C][C]2.5[/C][C]6.27704[/C][C]-3.77704[/C][/ROW]
[ROW][C]139[/C][C]9[/C][C]8.92753[/C][C]0.0724657[/C][/ROW]
[ROW][C]140[/C][C]8[/C][C]9.17315[/C][C]-1.17315[/C][/ROW]
[ROW][C]141[/C][C]6[/C][C]6.05591[/C][C]-0.0559086[/C][/ROW]
[ROW][C]142[/C][C]8.5[/C][C]4.90284[/C][C]3.59716[/C][/ROW]
[ROW][C]143[/C][C]6[/C][C]6.33166[/C][C]-0.331656[/C][/ROW]
[ROW][C]144[/C][C]9[/C][C]8.06578[/C][C]0.934221[/C][/ROW]
[ROW][C]145[/C][C]8[/C][C]6.44328[/C][C]1.55672[/C][/ROW]
[ROW][C]146[/C][C]9[/C][C]7.28828[/C][C]1.71172[/C][/ROW]
[ROW][C]147[/C][C]5.5[/C][C]5.98716[/C][C]-0.487161[/C][/ROW]
[ROW][C]148[/C][C]5[/C][C]5.59941[/C][C]-0.599415[/C][/ROW]
[ROW][C]149[/C][C]5.5[/C][C]8.93599[/C][C]-3.43599[/C][/ROW]
[ROW][C]150[/C][C]9[/C][C]7.89465[/C][C]1.10535[/C][/ROW]
[ROW][C]151[/C][C]2[/C][C]7.1415[/C][C]-5.1415[/C][/ROW]
[ROW][C]152[/C][C]8.5[/C][C]6.77846[/C][C]1.72154[/C][/ROW]
[ROW][C]153[/C][C]9[/C][C]7.46636[/C][C]1.53364[/C][/ROW]
[ROW][C]154[/C][C]8.5[/C][C]8.41261[/C][C]0.0873866[/C][/ROW]
[ROW][C]155[/C][C]9[/C][C]6.20409[/C][C]2.79591[/C][/ROW]
[ROW][C]156[/C][C]7.5[/C][C]7.01749[/C][C]0.482508[/C][/ROW]
[ROW][C]157[/C][C]10[/C][C]7.81511[/C][C]2.18489[/C][/ROW]
[ROW][C]158[/C][C]9[/C][C]7.18972[/C][C]1.81028[/C][/ROW]
[ROW][C]159[/C][C]7.5[/C][C]8.77722[/C][C]-1.27722[/C][/ROW]
[ROW][C]160[/C][C]6[/C][C]5.93168[/C][C]0.0683199[/C][/ROW]
[ROW][C]161[/C][C]10.5[/C][C]6.21858[/C][C]4.28142[/C][/ROW]
[ROW][C]162[/C][C]8.5[/C][C]9.07618[/C][C]-0.576185[/C][/ROW]
[ROW][C]163[/C][C]8[/C][C]6.51909[/C][C]1.48091[/C][/ROW]
[ROW][C]164[/C][C]10[/C][C]5.70419[/C][C]4.29581[/C][/ROW]
[ROW][C]165[/C][C]10.5[/C][C]6.94743[/C][C]3.55257[/C][/ROW]
[ROW][C]166[/C][C]6.5[/C][C]5.02383[/C][C]1.47617[/C][/ROW]
[ROW][C]167[/C][C]9.5[/C][C]7.82462[/C][C]1.67538[/C][/ROW]
[ROW][C]168[/C][C]8.5[/C][C]4.72439[/C][C]3.77561[/C][/ROW]
[ROW][C]169[/C][C]7.5[/C][C]7.6185[/C][C]-0.118502[/C][/ROW]
[ROW][C]170[/C][C]5[/C][C]7.21989[/C][C]-2.21989[/C][/ROW]
[ROW][C]171[/C][C]8[/C][C]7.46349[/C][C]0.536505[/C][/ROW]
[ROW][C]172[/C][C]10[/C][C]6.61672[/C][C]3.38328[/C][/ROW]
[ROW][C]173[/C][C]7[/C][C]5.85622[/C][C]1.14378[/C][/ROW]
[ROW][C]174[/C][C]7.5[/C][C]7.70359[/C][C]-0.203592[/C][/ROW]
[ROW][C]175[/C][C]7.5[/C][C]7.79426[/C][C]-0.294263[/C][/ROW]
[ROW][C]176[/C][C]9.5[/C][C]6.60145[/C][C]2.89855[/C][/ROW]
[ROW][C]177[/C][C]6[/C][C]6.73598[/C][C]-0.735984[/C][/ROW]
[ROW][C]178[/C][C]10[/C][C]8.07034[/C][C]1.92966[/C][/ROW]
[ROW][C]179[/C][C]7[/C][C]5.86488[/C][C]1.13512[/C][/ROW]
[ROW][C]180[/C][C]3[/C][C]6.20597[/C][C]-3.20597[/C][/ROW]
[ROW][C]181[/C][C]6[/C][C]6.75025[/C][C]-0.750252[/C][/ROW]
[ROW][C]182[/C][C]7[/C][C]6.30113[/C][C]0.698869[/C][/ROW]
[ROW][C]183[/C][C]10[/C][C]8.17958[/C][C]1.82042[/C][/ROW]
[ROW][C]184[/C][C]7[/C][C]6.78382[/C][C]0.216181[/C][/ROW]
[ROW][C]185[/C][C]3.5[/C][C]5.81928[/C][C]-2.31928[/C][/ROW]
[ROW][C]186[/C][C]8[/C][C]6.81367[/C][C]1.18633[/C][/ROW]
[ROW][C]187[/C][C]10[/C][C]5.85164[/C][C]4.14836[/C][/ROW]
[ROW][C]188[/C][C]5.5[/C][C]5.72952[/C][C]-0.229516[/C][/ROW]
[ROW][C]189[/C][C]6[/C][C]4.10722[/C][C]1.89278[/C][/ROW]
[ROW][C]190[/C][C]6.5[/C][C]6.28873[/C][C]0.211272[/C][/ROW]
[ROW][C]191[/C][C]6.5[/C][C]5.62481[/C][C]0.875187[/C][/ROW]
[ROW][C]192[/C][C]8.5[/C][C]6.184[/C][C]2.316[/C][/ROW]
[ROW][C]193[/C][C]4[/C][C]5.33026[/C][C]-1.33026[/C][/ROW]
[ROW][C]194[/C][C]9.5[/C][C]6.33589[/C][C]3.16411[/C][/ROW]
[ROW][C]195[/C][C]8[/C][C]5.88499[/C][C]2.11501[/C][/ROW]
[ROW][C]196[/C][C]8.5[/C][C]7.50612[/C][C]0.993877[/C][/ROW]
[ROW][C]197[/C][C]5.5[/C][C]8.31854[/C][C]-2.81854[/C][/ROW]
[ROW][C]198[/C][C]7[/C][C]6.95977[/C][C]0.0402337[/C][/ROW]
[ROW][C]199[/C][C]9[/C][C]5.23781[/C][C]3.76219[/C][/ROW]
[ROW][C]200[/C][C]8[/C][C]5.88891[/C][C]2.11109[/C][/ROW]
[ROW][C]201[/C][C]10[/C][C]8.71164[/C][C]1.28836[/C][/ROW]
[ROW][C]202[/C][C]8[/C][C]5.91509[/C][C]2.08491[/C][/ROW]
[ROW][C]203[/C][C]6[/C][C]6.17263[/C][C]-0.172635[/C][/ROW]
[ROW][C]204[/C][C]8[/C][C]7.43638[/C][C]0.563624[/C][/ROW]
[ROW][C]205[/C][C]5[/C][C]5.59732[/C][C]-0.597318[/C][/ROW]
[ROW][C]206[/C][C]9[/C][C]5.08269[/C][C]3.91731[/C][/ROW]
[ROW][C]207[/C][C]4.5[/C][C]6.78704[/C][C]-2.28704[/C][/ROW]
[ROW][C]208[/C][C]8.5[/C][C]5.78525[/C][C]2.71475[/C][/ROW]
[ROW][C]209[/C][C]7[/C][C]5.94579[/C][C]1.05421[/C][/ROW]
[ROW][C]210[/C][C]8.5[/C][C]6.73578[/C][C]1.76422[/C][/ROW]
[ROW][C]211[/C][C]7.5[/C][C]4.69477[/C][C]2.80523[/C][/ROW]
[ROW][C]212[/C][C]7.5[/C][C]6.02003[/C][C]1.47997[/C][/ROW]
[ROW][C]213[/C][C]5[/C][C]7.52264[/C][C]-2.52264[/C][/ROW]
[ROW][C]214[/C][C]7[/C][C]8.09594[/C][C]-1.09594[/C][/ROW]
[ROW][C]215[/C][C]8[/C][C]8.21331[/C][C]-0.213313[/C][/ROW]
[ROW][C]216[/C][C]5.5[/C][C]6.52096[/C][C]-1.02096[/C][/ROW]
[ROW][C]217[/C][C]8.5[/C][C]6.21213[/C][C]2.28787[/C][/ROW]
[ROW][C]218[/C][C]7.5[/C][C]6.11037[/C][C]1.38963[/C][/ROW]
[ROW][C]219[/C][C]7[/C][C]5.80124[/C][C]1.19876[/C][/ROW]
[ROW][C]220[/C][C]8[/C][C]7.59199[/C][C]0.408006[/C][/ROW]
[ROW][C]221[/C][C]8.5[/C][C]7.68784[/C][C]0.812161[/C][/ROW]
[ROW][C]222[/C][C]3.5[/C][C]6.59693[/C][C]-3.09693[/C][/ROW]
[ROW][C]223[/C][C]6.5[/C][C]5.59997[/C][C]0.900031[/C][/ROW]
[ROW][C]224[/C][C]6.5[/C][C]5.37418[/C][C]1.12582[/C][/ROW]
[ROW][C]225[/C][C]10.5[/C][C]7.77416[/C][C]2.72584[/C][/ROW]
[ROW][C]226[/C][C]8.5[/C][C]6.21418[/C][C]2.28582[/C][/ROW]
[ROW][C]227[/C][C]8[/C][C]6.21674[/C][C]1.78326[/C][/ROW]
[ROW][C]228[/C][C]10[/C][C]5.93047[/C][C]4.06953[/C][/ROW]
[ROW][C]229[/C][C]10[/C][C]7.46617[/C][C]2.53383[/C][/ROW]
[ROW][C]230[/C][C]9.5[/C][C]7.40525[/C][C]2.09475[/C][/ROW]
[ROW][C]231[/C][C]9[/C][C]5.79991[/C][C]3.20009[/C][/ROW]
[ROW][C]232[/C][C]10[/C][C]8.39738[/C][C]1.60262[/C][/ROW]
[ROW][C]233[/C][C]7.5[/C][C]5.53987[/C][C]1.96013[/C][/ROW]
[ROW][C]234[/C][C]4.5[/C][C]5.88917[/C][C]-1.38917[/C][/ROW]
[ROW][C]235[/C][C]4.5[/C][C]5.51903[/C][C]-1.01903[/C][/ROW]
[ROW][C]236[/C][C]0.5[/C][C]5.70342[/C][C]-5.20342[/C][/ROW]
[ROW][C]237[/C][C]6.5[/C][C]5.29438[/C][C]1.20562[/C][/ROW]
[ROW][C]238[/C][C]4.5[/C][C]7.45979[/C][C]-2.95979[/C][/ROW]
[ROW][C]239[/C][C]5.5[/C][C]6.66584[/C][C]-1.16584[/C][/ROW]
[ROW][C]240[/C][C]5[/C][C]5.36559[/C][C]-0.365591[/C][/ROW]
[ROW][C]241[/C][C]6[/C][C]7.50015[/C][C]-1.50015[/C][/ROW]
[ROW][C]242[/C][C]4[/C][C]7.05456[/C][C]-3.05456[/C][/ROW]
[ROW][C]243[/C][C]8[/C][C]5.35648[/C][C]2.64352[/C][/ROW]
[ROW][C]244[/C][C]10.5[/C][C]7.10484[/C][C]3.39516[/C][/ROW]
[ROW][C]245[/C][C]8.5[/C][C]5.25585[/C][C]3.24415[/C][/ROW]
[ROW][C]246[/C][C]8[/C][C]7.49016[/C][C]0.509836[/C][/ROW]
[ROW][C]247[/C][C]8.5[/C][C]7.83272[/C][C]0.667276[/C][/ROW]
[ROW][C]248[/C][C]5.5[/C][C]6.03154[/C][C]-0.531541[/C][/ROW]
[ROW][C]249[/C][C]7[/C][C]7.59509[/C][C]-0.595092[/C][/ROW]
[ROW][C]250[/C][C]5[/C][C]6.14604[/C][C]-1.14604[/C][/ROW]
[ROW][C]251[/C][C]3.5[/C][C]5.53673[/C][C]-2.03673[/C][/ROW]
[ROW][C]252[/C][C]5[/C][C]7.2295[/C][C]-2.2295[/C][/ROW]
[ROW][C]253[/C][C]9[/C][C]7.37302[/C][C]1.62698[/C][/ROW]
[ROW][C]254[/C][C]8.5[/C][C]7.03437[/C][C]1.46563[/C][/ROW]
[ROW][C]255[/C][C]5[/C][C]6.71252[/C][C]-1.71252[/C][/ROW]
[ROW][C]256[/C][C]9.5[/C][C]7.46178[/C][C]2.03822[/C][/ROW]
[ROW][C]257[/C][C]3[/C][C]4.75685[/C][C]-1.75685[/C][/ROW]
[ROW][C]258[/C][C]1.5[/C][C]7.385[/C][C]-5.885[/C][/ROW]
[ROW][C]259[/C][C]6[/C][C]5.36543[/C][C]0.634568[/C][/ROW]
[ROW][C]260[/C][C]0.5[/C][C]5.10974[/C][C]-4.60974[/C][/ROW]
[ROW][C]261[/C][C]6.5[/C][C]5.1109[/C][C]1.3891[/C][/ROW]
[ROW][C]262[/C][C]7.5[/C][C]5.745[/C][C]1.755[/C][/ROW]
[ROW][C]263[/C][C]4.5[/C][C]5.99613[/C][C]-1.49613[/C][/ROW]
[ROW][C]264[/C][C]8[/C][C]5.51299[/C][C]2.48701[/C][/ROW]
[ROW][C]265[/C][C]9[/C][C]7.22061[/C][C]1.77939[/C][/ROW]
[ROW][C]266[/C][C]7.5[/C][C]6.65502[/C][C]0.844983[/C][/ROW]
[ROW][C]267[/C][C]8.5[/C][C]6.59331[/C][C]1.90669[/C][/ROW]
[ROW][C]268[/C][C]7[/C][C]5.10677[/C][C]1.89323[/C][/ROW]
[ROW][C]269[/C][C]9.5[/C][C]5.77279[/C][C]3.72721[/C][/ROW]
[ROW][C]270[/C][C]6.5[/C][C]5.0648[/C][C]1.4352[/C][/ROW]
[ROW][C]271[/C][C]9.5[/C][C]5.35053[/C][C]4.14947[/C][/ROW]
[ROW][C]272[/C][C]6[/C][C]5.19318[/C][C]0.806824[/C][/ROW]
[ROW][C]273[/C][C]8[/C][C]7.15739[/C][C]0.842614[/C][/ROW]
[ROW][C]274[/C][C]9.5[/C][C]8.22746[/C][C]1.27254[/C][/ROW]
[ROW][C]275[/C][C]8[/C][C]6.12606[/C][C]1.87394[/C][/ROW]
[ROW][C]276[/C][C]8[/C][C]6.30174[/C][C]1.69826[/C][/ROW]
[ROW][C]277[/C][C]9[/C][C]7.31608[/C][C]1.68392[/C][/ROW]
[ROW][C]278[/C][C]5[/C][C]5.64561[/C][C]-0.645615[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265626&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265626&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
17.55.439162.06084
264.904321.09568
36.55.399781.10022
415.72764-4.72764
515.08865-4.08865
65.56.74886-1.24886
78.55.866992.63301
86.55.896080.603918
94.55.6113-1.1113
1026.57917-4.57917
1155.89462-0.894625
120.56.8571-6.3571
1355.264-0.263995
1456.0521-1.0521
152.54.52997-2.02997
1655.57311-0.573113
175.56.30116-0.801155
183.55.54818-2.04818
1935.53548-2.53548
2045.38953-1.38953
210.55.24975-4.74975
226.55.488691.01131
234.55.77786-1.27786
247.55.096062.40394
255.55.84205-0.342051
2646.59426-2.59426
277.55.819241.68076
2875.465961.53404
2945.0251-1.0251
305.55.58155-0.0815546
312.55.75961-3.25961
325.56.38492-0.884916
333.55.75083-2.25083
342.56.37137-3.87137
354.56.02646-1.52646
364.55.85197-1.35197
374.55.07986-0.579861
3865.938390.0616053
392.55.22734-2.72734
4056.46738-1.46738
4104.76111-4.76111
4256.25884-1.25884
436.55.117891.38211
4455.76603-0.766031
4565.157990.842011
464.55.59804-1.09804
475.56.07202-0.572023
4815.01587-4.01587
497.54.478533.02147
5064.914781.08522
5155.52792-0.527925
5215.5797-4.5797
5356.13668-1.13668
546.55.863010.636987
5576.418730.581266
564.56.36964-1.86964
5705.42804-5.42804
588.55.729732.77027
593.54.42778-0.927779
607.55.628041.87196
613.55.77642-2.27642
6264.831611.16839
631.55.21291-3.71291
6496.171972.82803
653.54.88431-1.38431
663.55.07518-1.57518
6746.29873-2.29873
686.56.083270.41673
697.55.36542.1346
7065.051270.94873
7156.00521-1.00521
725.55.077120.422882
733.55.55623-2.05623
747.54.836972.66303
756.55.779690.720313
766.56.273670.226326
776.55.140591.35941
7876.852790.147208
793.55.30998-1.80998
801.55.28741-3.78741
8144.88187-0.881869
827.54.767742.73226
834.55.62129-1.12129
8404.74465-4.74465
853.55.03858-1.53858
865.55.54189-0.0418857
8754.891210.108795
884.54.99484-0.494844
892.54.5354-2.0354
907.54.854162.64584
9174.98852.0115
9205.25677-5.25677
934.55.25943-0.759426
9436.10075-3.10075
951.55.49662-3.99662
963.54.62498-1.12498
972.55.84408-3.34408
985.55.227470.272534
9985.31892.6811
10014.4825-3.4825
10155.20468-0.20468
1024.55.52406-1.02406
10334.85764-1.85764
10434.69754-1.69754
10585.655682.34432
1062.54.65872-2.15872
10775.083111.91689
10804.89811-4.89811
10915.00499-4.00499
1103.54.75285-1.25285
1115.54.752670.747332
1125.54.714380.785624
1130.54.58749-4.08749
1147.56.426641.07336
11597.093741.90626
1169.57.167412.33259
1178.58.044470.45553
11875.026511.97349
119810.949-2.94902
120107.145562.85444
12179.15371-2.15371
1228.55.112583.38742
12398.722810.27719
1249.55.353664.14634
12547.26407-3.26407
12666.66862-0.668617
12787.436950.563052
1285.58.41894-2.91894
1299.57.480132.01987
1307.55.8961.604
13175.751961.24804
1327.58.67296-1.17296
13386.362771.63723
13476.724760.275237
13576.052650.947347
13667.34911-1.34911
137106.649983.35002
1382.56.27704-3.77704
13998.927530.0724657
14089.17315-1.17315
14166.05591-0.0559086
1428.54.902843.59716
14366.33166-0.331656
14498.065780.934221
14586.443281.55672
14697.288281.71172
1475.55.98716-0.487161
14855.59941-0.599415
1495.58.93599-3.43599
15097.894651.10535
15127.1415-5.1415
1528.56.778461.72154
15397.466361.53364
1548.58.412610.0873866
15596.204092.79591
1567.57.017490.482508
157107.815112.18489
15897.189721.81028
1597.58.77722-1.27722
16065.931680.0683199
16110.56.218584.28142
1628.59.07618-0.576185
16386.519091.48091
164105.704194.29581
16510.56.947433.55257
1666.55.023831.47617
1679.57.824621.67538
1688.54.724393.77561
1697.57.6185-0.118502
17057.21989-2.21989
17187.463490.536505
172106.616723.38328
17375.856221.14378
1747.57.70359-0.203592
1757.57.79426-0.294263
1769.56.601452.89855
17766.73598-0.735984
178108.070341.92966
17975.864881.13512
18036.20597-3.20597
18166.75025-0.750252
18276.301130.698869
183108.179581.82042
18476.783820.216181
1853.55.81928-2.31928
18686.813671.18633
187105.851644.14836
1885.55.72952-0.229516
18964.107221.89278
1906.56.288730.211272
1916.55.624810.875187
1928.56.1842.316
19345.33026-1.33026
1949.56.335893.16411
19585.884992.11501
1968.57.506120.993877
1975.58.31854-2.81854
19876.959770.0402337
19995.237813.76219
20085.888912.11109
201108.711641.28836
20285.915092.08491
20366.17263-0.172635
20487.436380.563624
20555.59732-0.597318
20695.082693.91731
2074.56.78704-2.28704
2088.55.785252.71475
20975.945791.05421
2108.56.735781.76422
2117.54.694772.80523
2127.56.020031.47997
21357.52264-2.52264
21478.09594-1.09594
21588.21331-0.213313
2165.56.52096-1.02096
2178.56.212132.28787
2187.56.110371.38963
21975.801241.19876
22087.591990.408006
2218.57.687840.812161
2223.56.59693-3.09693
2236.55.599970.900031
2246.55.374181.12582
22510.57.774162.72584
2268.56.214182.28582
22786.216741.78326
228105.930474.06953
229107.466172.53383
2309.57.405252.09475
23195.799913.20009
232108.397381.60262
2337.55.539871.96013
2344.55.88917-1.38917
2354.55.51903-1.01903
2360.55.70342-5.20342
2376.55.294381.20562
2384.57.45979-2.95979
2395.56.66584-1.16584
24055.36559-0.365591
24167.50015-1.50015
24247.05456-3.05456
24385.356482.64352
24410.57.104843.39516
2458.55.255853.24415
24687.490160.509836
2478.57.832720.667276
2485.56.03154-0.531541
24977.59509-0.595092
25056.14604-1.14604
2513.55.53673-2.03673
25257.2295-2.2295
25397.373021.62698
2548.57.034371.46563
25556.71252-1.71252
2569.57.461782.03822
25734.75685-1.75685
2581.57.385-5.885
25965.365430.634568
2600.55.10974-4.60974
2616.55.11091.3891
2627.55.7451.755
2634.55.99613-1.49613
26485.512992.48701
26597.220611.77939
2667.56.655020.844983
2678.56.593311.90669
26875.106771.89323
2699.55.772793.72721
2706.55.06481.4352
2719.55.350534.14947
27265.193180.806824
27387.157390.842614
2749.58.227461.27254
27586.126061.87394
27686.301741.69826
27797.316081.68392
27855.64561-0.645615






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.9280010.1439990.0719994
100.877270.2454610.12273
110.7977730.4044530.202227
120.7871330.4257340.212867
130.7248280.5503450.275172
140.6598740.6802530.340126
150.6199960.7600070.380004
160.5322190.9355620.467781
170.4977540.9955070.502246
180.4204550.840910.579545
190.3828180.7656360.617182
200.3148790.6297590.685121
210.2668840.5337690.733116
220.2480120.4960240.751988
230.2213190.4426380.778681
240.1778130.3556250.822187
250.1356530.2713060.864347
260.1036960.2073930.896304
270.07841210.1568240.921588
280.06845910.1369180.931541
290.05107610.1021520.948924
300.07084610.1416920.929154
310.07679180.1535840.923208
320.05674910.1134980.943251
330.04274880.08549750.957251
340.03967150.0793430.960328
350.02885060.05770130.971149
360.02109360.04218710.978906
370.01478070.02956140.985219
380.01609930.03219870.983901
390.03315580.06631170.966844
400.02616950.0523390.973831
410.05289110.1057820.947109
420.04621740.09243480.953783
430.05278470.1055690.947215
440.04890730.09781450.951093
450.04523750.0904750.954763
460.03517270.07034530.964827
470.02733740.05467480.972663
480.04079380.08158770.959206
490.04088820.08177630.959112
500.05494720.1098940.945053
510.04802740.09605490.951973
520.08528450.1705690.914715
530.09226810.1845360.907732
540.1430890.2861770.856911
550.1871170.3742330.812883
560.1654270.3308540.834573
570.2849620.5699240.715038
580.2947430.5894860.705257
590.2593850.518770.740615
600.3055670.6111350.694433
610.2985470.5970930.701453
620.2879270.5758540.712073
630.4498880.8997750.550112
640.5268960.9462070.473104
650.5048860.9902290.495114
660.474830.9496590.52517
670.4675060.9350120.532494
680.4274770.8549550.572523
690.4596550.919310.540345
700.4397180.8794360.560282
710.4083140.8166270.591686
720.3810140.7620280.618986
730.3634020.7268040.636598
740.3553540.7107070.644646
750.3296060.6592120.670394
760.3032130.6064260.696787
770.2986780.5973570.701322
780.2824970.5649940.717503
790.2619170.5238350.738083
800.3228690.6457370.677131
810.2945840.5891670.705416
820.3289030.6578050.671097
830.3007960.6015920.699204
840.4031490.8062980.596851
850.3875360.7750730.612464
860.3559070.7118140.644093
870.3269270.6538540.673073
880.2995320.5990640.700468
890.3017330.6034660.698267
900.3247180.6494350.675282
910.3313390.6626790.668661
920.4586030.9172060.541397
930.428220.856440.57178
940.4251530.8503060.574847
950.4725060.9450120.527494
960.4464360.8928710.553564
970.4651120.9302250.534888
980.4505040.9010070.549496
990.5083320.9833350.491668
1000.6150110.7699780.384989
1010.5833350.833330.416665
1020.5592750.881450.440725
1030.5544540.8910910.445546
1040.5615450.8769090.438455
1050.5949070.8101860.405093
1060.614780.770440.38522
1070.6255120.7489760.374488
1080.7698920.4602160.230108
1090.8319020.3361970.168098
1100.8342410.3315170.165759
1110.8201490.3597020.179851
1120.8082630.3834750.191737
1130.8808740.2382520.119126
1140.8788410.2423180.121159
1150.8978990.2042010.102101
1160.9161910.1676180.0838088
1170.9029680.1940640.0970319
1180.9100860.1798280.0899142
1190.8984690.2030620.101531
1200.9088210.1823570.0911786
1210.9201520.1596970.0798483
1220.9430160.1139680.0569842
1230.9370660.1258690.0629344
1240.9621120.07577530.0378877
1250.9670130.06597430.0329872
1260.9607690.07846110.0392305
1270.9562310.08753730.0437686
1280.9620860.07582740.0379137
1290.96170.07659920.0382996
1300.9600240.07995150.0399758
1310.9566850.08662910.0433145
1320.9531250.0937490.0468745
1330.9501450.099710.049855
1340.9425460.1149080.0574542
1350.9352590.1294820.0647409
1360.9281510.1436970.0718486
1370.9476420.1047160.052358
1380.9619560.0760870.0380435
1390.9549090.09018160.0450908
1400.9474710.1050580.0525291
1410.938470.123060.0615301
1420.9513270.09734540.0486727
1430.9487760.1024480.0512239
1440.9439570.1120870.0560433
1450.9406420.1187150.0593576
1460.9361740.1276520.0638259
1470.9291770.1416450.0708227
1480.9193560.1612890.0806443
1490.9242560.1514870.0757436
1500.9193210.1613570.0806787
1510.9625790.07484190.037421
1520.9585570.08288620.0414431
1530.9557030.08859360.0442968
1540.9478030.1043930.0521965
1550.9547620.09047640.0452382
1560.9465890.1068220.0534108
1570.9433270.1133460.056673
1580.9406330.1187350.0593674
1590.9337050.132590.0662949
1600.9248450.1503090.0751545
1610.9418160.1163680.0581839
1620.9317770.1364450.0682225
1630.922650.15470.0773499
1640.9554650.08906970.0445349
1650.9589230.08215410.041077
1660.9538680.0922640.046132
1670.9486920.1026150.0513076
1680.9606950.07861030.0393052
1690.9526110.09477810.047389
1700.9541590.09168180.0458409
1710.9452980.1094030.0547017
1720.9526170.09476550.0473827
1730.9449260.1101480.0550741
1740.9344580.1310840.0655418
1750.9225040.1549910.0774957
1760.9250910.1498180.0749088
1770.9170610.1658770.0829387
1780.9183980.1632040.0816021
1790.9061160.1877690.0938844
1800.9227160.1545670.0772836
1810.9267250.1465490.0732746
1820.9140860.1718290.0859143
1830.9073960.1852080.0926041
1840.8918960.2162090.108104
1850.8978120.2043750.102188
1860.8825720.2348560.117428
1870.9199230.1601540.0800772
1880.9107270.1785460.0892729
1890.9002390.1995220.099761
1900.8829850.234030.117015
1910.8646240.2707530.135376
1920.8539770.2920460.146023
1930.8463130.3073740.153687
1940.8573460.2853080.142654
1950.8479570.3040870.152043
1960.8306130.3387730.169387
1970.8421070.3157860.157893
1980.8175380.3649230.182462
1990.8368910.3262170.163109
2000.8203170.3593670.179683
2010.8121280.3757430.187872
2020.8027130.3945740.197287
2030.7770870.4458270.222913
2040.7506020.4987950.249398
2050.7232490.5535020.276751
2060.7505240.4989530.249476
2070.7604070.4791850.239593
2080.776510.446980.22349
2090.7480170.5039650.251983
2100.7207070.5585860.279293
2110.7091360.5817270.290864
2120.6826460.6347080.317354
2130.7370130.5259730.262987
2140.7028960.5942090.297104
2150.6683260.6633470.331674
2160.637210.725580.36279
2170.6175530.7648950.382447
2180.5864950.827010.413505
2190.5471840.9056330.452816
2200.5058220.9883570.494178
2210.4671920.9343840.532808
2220.4813360.9626720.518664
2230.4420940.8841890.557906
2240.4144920.8289830.585508
2250.4351970.8703950.564803
2260.4679680.9359370.532032
2270.4979350.995870.502065
2280.5419530.9160940.458047
2290.5079720.9840560.492028
2300.5081330.9837350.491867
2310.5520020.8959960.447998
2320.5080090.9839820.491991
2330.4881740.9763490.511826
2340.4587440.9174880.541256
2350.4174840.8349690.582516
2360.6555170.6889650.344483
2370.6225770.7548450.377423
2380.6154350.769130.384565
2390.582830.8343390.41717
2400.5439140.9121710.456086
2410.5376920.9246150.462308
2420.603410.7931810.39659
2430.5655790.8688410.434421
2440.5583750.8832510.441625
2450.6603290.6793410.339671
2460.6194360.7611270.380564
2470.5617950.876410.438205
2480.5279570.9440860.472043
2490.4680280.9360560.531972
2500.4119460.8238910.588054
2510.4074740.8149490.592526
2520.4514770.9029540.548523
2530.4120220.8240430.587978
2540.3792760.7585520.620724
2550.3418290.6836580.658171
2560.349980.6999590.65002
2570.4214120.8428240.578588
2580.9916060.01678810.00839403
2590.987380.02524080.0126204
2600.9992670.001466520.000733262
2610.9981810.003638350.00181917
2620.9956750.008649560.00432478
2630.9927520.01449560.00724782
2640.9881180.02376490.0118825
2650.9731840.05363180.0268159
2660.9486470.1027050.0513527
2670.8974210.2051570.102579
2680.8157410.3685180.184259
2690.8113760.3772480.188624

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
9 & 0.928001 & 0.143999 & 0.0719994 \tabularnewline
10 & 0.87727 & 0.245461 & 0.12273 \tabularnewline
11 & 0.797773 & 0.404453 & 0.202227 \tabularnewline
12 & 0.787133 & 0.425734 & 0.212867 \tabularnewline
13 & 0.724828 & 0.550345 & 0.275172 \tabularnewline
14 & 0.659874 & 0.680253 & 0.340126 \tabularnewline
15 & 0.619996 & 0.760007 & 0.380004 \tabularnewline
16 & 0.532219 & 0.935562 & 0.467781 \tabularnewline
17 & 0.497754 & 0.995507 & 0.502246 \tabularnewline
18 & 0.420455 & 0.84091 & 0.579545 \tabularnewline
19 & 0.382818 & 0.765636 & 0.617182 \tabularnewline
20 & 0.314879 & 0.629759 & 0.685121 \tabularnewline
21 & 0.266884 & 0.533769 & 0.733116 \tabularnewline
22 & 0.248012 & 0.496024 & 0.751988 \tabularnewline
23 & 0.221319 & 0.442638 & 0.778681 \tabularnewline
24 & 0.177813 & 0.355625 & 0.822187 \tabularnewline
25 & 0.135653 & 0.271306 & 0.864347 \tabularnewline
26 & 0.103696 & 0.207393 & 0.896304 \tabularnewline
27 & 0.0784121 & 0.156824 & 0.921588 \tabularnewline
28 & 0.0684591 & 0.136918 & 0.931541 \tabularnewline
29 & 0.0510761 & 0.102152 & 0.948924 \tabularnewline
30 & 0.0708461 & 0.141692 & 0.929154 \tabularnewline
31 & 0.0767918 & 0.153584 & 0.923208 \tabularnewline
32 & 0.0567491 & 0.113498 & 0.943251 \tabularnewline
33 & 0.0427488 & 0.0854975 & 0.957251 \tabularnewline
34 & 0.0396715 & 0.079343 & 0.960328 \tabularnewline
35 & 0.0288506 & 0.0577013 & 0.971149 \tabularnewline
36 & 0.0210936 & 0.0421871 & 0.978906 \tabularnewline
37 & 0.0147807 & 0.0295614 & 0.985219 \tabularnewline
38 & 0.0160993 & 0.0321987 & 0.983901 \tabularnewline
39 & 0.0331558 & 0.0663117 & 0.966844 \tabularnewline
40 & 0.0261695 & 0.052339 & 0.973831 \tabularnewline
41 & 0.0528911 & 0.105782 & 0.947109 \tabularnewline
42 & 0.0462174 & 0.0924348 & 0.953783 \tabularnewline
43 & 0.0527847 & 0.105569 & 0.947215 \tabularnewline
44 & 0.0489073 & 0.0978145 & 0.951093 \tabularnewline
45 & 0.0452375 & 0.090475 & 0.954763 \tabularnewline
46 & 0.0351727 & 0.0703453 & 0.964827 \tabularnewline
47 & 0.0273374 & 0.0546748 & 0.972663 \tabularnewline
48 & 0.0407938 & 0.0815877 & 0.959206 \tabularnewline
49 & 0.0408882 & 0.0817763 & 0.959112 \tabularnewline
50 & 0.0549472 & 0.109894 & 0.945053 \tabularnewline
51 & 0.0480274 & 0.0960549 & 0.951973 \tabularnewline
52 & 0.0852845 & 0.170569 & 0.914715 \tabularnewline
53 & 0.0922681 & 0.184536 & 0.907732 \tabularnewline
54 & 0.143089 & 0.286177 & 0.856911 \tabularnewline
55 & 0.187117 & 0.374233 & 0.812883 \tabularnewline
56 & 0.165427 & 0.330854 & 0.834573 \tabularnewline
57 & 0.284962 & 0.569924 & 0.715038 \tabularnewline
58 & 0.294743 & 0.589486 & 0.705257 \tabularnewline
59 & 0.259385 & 0.51877 & 0.740615 \tabularnewline
60 & 0.305567 & 0.611135 & 0.694433 \tabularnewline
61 & 0.298547 & 0.597093 & 0.701453 \tabularnewline
62 & 0.287927 & 0.575854 & 0.712073 \tabularnewline
63 & 0.449888 & 0.899775 & 0.550112 \tabularnewline
64 & 0.526896 & 0.946207 & 0.473104 \tabularnewline
65 & 0.504886 & 0.990229 & 0.495114 \tabularnewline
66 & 0.47483 & 0.949659 & 0.52517 \tabularnewline
67 & 0.467506 & 0.935012 & 0.532494 \tabularnewline
68 & 0.427477 & 0.854955 & 0.572523 \tabularnewline
69 & 0.459655 & 0.91931 & 0.540345 \tabularnewline
70 & 0.439718 & 0.879436 & 0.560282 \tabularnewline
71 & 0.408314 & 0.816627 & 0.591686 \tabularnewline
72 & 0.381014 & 0.762028 & 0.618986 \tabularnewline
73 & 0.363402 & 0.726804 & 0.636598 \tabularnewline
74 & 0.355354 & 0.710707 & 0.644646 \tabularnewline
75 & 0.329606 & 0.659212 & 0.670394 \tabularnewline
76 & 0.303213 & 0.606426 & 0.696787 \tabularnewline
77 & 0.298678 & 0.597357 & 0.701322 \tabularnewline
78 & 0.282497 & 0.564994 & 0.717503 \tabularnewline
79 & 0.261917 & 0.523835 & 0.738083 \tabularnewline
80 & 0.322869 & 0.645737 & 0.677131 \tabularnewline
81 & 0.294584 & 0.589167 & 0.705416 \tabularnewline
82 & 0.328903 & 0.657805 & 0.671097 \tabularnewline
83 & 0.300796 & 0.601592 & 0.699204 \tabularnewline
84 & 0.403149 & 0.806298 & 0.596851 \tabularnewline
85 & 0.387536 & 0.775073 & 0.612464 \tabularnewline
86 & 0.355907 & 0.711814 & 0.644093 \tabularnewline
87 & 0.326927 & 0.653854 & 0.673073 \tabularnewline
88 & 0.299532 & 0.599064 & 0.700468 \tabularnewline
89 & 0.301733 & 0.603466 & 0.698267 \tabularnewline
90 & 0.324718 & 0.649435 & 0.675282 \tabularnewline
91 & 0.331339 & 0.662679 & 0.668661 \tabularnewline
92 & 0.458603 & 0.917206 & 0.541397 \tabularnewline
93 & 0.42822 & 0.85644 & 0.57178 \tabularnewline
94 & 0.425153 & 0.850306 & 0.574847 \tabularnewline
95 & 0.472506 & 0.945012 & 0.527494 \tabularnewline
96 & 0.446436 & 0.892871 & 0.553564 \tabularnewline
97 & 0.465112 & 0.930225 & 0.534888 \tabularnewline
98 & 0.450504 & 0.901007 & 0.549496 \tabularnewline
99 & 0.508332 & 0.983335 & 0.491668 \tabularnewline
100 & 0.615011 & 0.769978 & 0.384989 \tabularnewline
101 & 0.583335 & 0.83333 & 0.416665 \tabularnewline
102 & 0.559275 & 0.88145 & 0.440725 \tabularnewline
103 & 0.554454 & 0.891091 & 0.445546 \tabularnewline
104 & 0.561545 & 0.876909 & 0.438455 \tabularnewline
105 & 0.594907 & 0.810186 & 0.405093 \tabularnewline
106 & 0.61478 & 0.77044 & 0.38522 \tabularnewline
107 & 0.625512 & 0.748976 & 0.374488 \tabularnewline
108 & 0.769892 & 0.460216 & 0.230108 \tabularnewline
109 & 0.831902 & 0.336197 & 0.168098 \tabularnewline
110 & 0.834241 & 0.331517 & 0.165759 \tabularnewline
111 & 0.820149 & 0.359702 & 0.179851 \tabularnewline
112 & 0.808263 & 0.383475 & 0.191737 \tabularnewline
113 & 0.880874 & 0.238252 & 0.119126 \tabularnewline
114 & 0.878841 & 0.242318 & 0.121159 \tabularnewline
115 & 0.897899 & 0.204201 & 0.102101 \tabularnewline
116 & 0.916191 & 0.167618 & 0.0838088 \tabularnewline
117 & 0.902968 & 0.194064 & 0.0970319 \tabularnewline
118 & 0.910086 & 0.179828 & 0.0899142 \tabularnewline
119 & 0.898469 & 0.203062 & 0.101531 \tabularnewline
120 & 0.908821 & 0.182357 & 0.0911786 \tabularnewline
121 & 0.920152 & 0.159697 & 0.0798483 \tabularnewline
122 & 0.943016 & 0.113968 & 0.0569842 \tabularnewline
123 & 0.937066 & 0.125869 & 0.0629344 \tabularnewline
124 & 0.962112 & 0.0757753 & 0.0378877 \tabularnewline
125 & 0.967013 & 0.0659743 & 0.0329872 \tabularnewline
126 & 0.960769 & 0.0784611 & 0.0392305 \tabularnewline
127 & 0.956231 & 0.0875373 & 0.0437686 \tabularnewline
128 & 0.962086 & 0.0758274 & 0.0379137 \tabularnewline
129 & 0.9617 & 0.0765992 & 0.0382996 \tabularnewline
130 & 0.960024 & 0.0799515 & 0.0399758 \tabularnewline
131 & 0.956685 & 0.0866291 & 0.0433145 \tabularnewline
132 & 0.953125 & 0.093749 & 0.0468745 \tabularnewline
133 & 0.950145 & 0.09971 & 0.049855 \tabularnewline
134 & 0.942546 & 0.114908 & 0.0574542 \tabularnewline
135 & 0.935259 & 0.129482 & 0.0647409 \tabularnewline
136 & 0.928151 & 0.143697 & 0.0718486 \tabularnewline
137 & 0.947642 & 0.104716 & 0.052358 \tabularnewline
138 & 0.961956 & 0.076087 & 0.0380435 \tabularnewline
139 & 0.954909 & 0.0901816 & 0.0450908 \tabularnewline
140 & 0.947471 & 0.105058 & 0.0525291 \tabularnewline
141 & 0.93847 & 0.12306 & 0.0615301 \tabularnewline
142 & 0.951327 & 0.0973454 & 0.0486727 \tabularnewline
143 & 0.948776 & 0.102448 & 0.0512239 \tabularnewline
144 & 0.943957 & 0.112087 & 0.0560433 \tabularnewline
145 & 0.940642 & 0.118715 & 0.0593576 \tabularnewline
146 & 0.936174 & 0.127652 & 0.0638259 \tabularnewline
147 & 0.929177 & 0.141645 & 0.0708227 \tabularnewline
148 & 0.919356 & 0.161289 & 0.0806443 \tabularnewline
149 & 0.924256 & 0.151487 & 0.0757436 \tabularnewline
150 & 0.919321 & 0.161357 & 0.0806787 \tabularnewline
151 & 0.962579 & 0.0748419 & 0.037421 \tabularnewline
152 & 0.958557 & 0.0828862 & 0.0414431 \tabularnewline
153 & 0.955703 & 0.0885936 & 0.0442968 \tabularnewline
154 & 0.947803 & 0.104393 & 0.0521965 \tabularnewline
155 & 0.954762 & 0.0904764 & 0.0452382 \tabularnewline
156 & 0.946589 & 0.106822 & 0.0534108 \tabularnewline
157 & 0.943327 & 0.113346 & 0.056673 \tabularnewline
158 & 0.940633 & 0.118735 & 0.0593674 \tabularnewline
159 & 0.933705 & 0.13259 & 0.0662949 \tabularnewline
160 & 0.924845 & 0.150309 & 0.0751545 \tabularnewline
161 & 0.941816 & 0.116368 & 0.0581839 \tabularnewline
162 & 0.931777 & 0.136445 & 0.0682225 \tabularnewline
163 & 0.92265 & 0.1547 & 0.0773499 \tabularnewline
164 & 0.955465 & 0.0890697 & 0.0445349 \tabularnewline
165 & 0.958923 & 0.0821541 & 0.041077 \tabularnewline
166 & 0.953868 & 0.092264 & 0.046132 \tabularnewline
167 & 0.948692 & 0.102615 & 0.0513076 \tabularnewline
168 & 0.960695 & 0.0786103 & 0.0393052 \tabularnewline
169 & 0.952611 & 0.0947781 & 0.047389 \tabularnewline
170 & 0.954159 & 0.0916818 & 0.0458409 \tabularnewline
171 & 0.945298 & 0.109403 & 0.0547017 \tabularnewline
172 & 0.952617 & 0.0947655 & 0.0473827 \tabularnewline
173 & 0.944926 & 0.110148 & 0.0550741 \tabularnewline
174 & 0.934458 & 0.131084 & 0.0655418 \tabularnewline
175 & 0.922504 & 0.154991 & 0.0774957 \tabularnewline
176 & 0.925091 & 0.149818 & 0.0749088 \tabularnewline
177 & 0.917061 & 0.165877 & 0.0829387 \tabularnewline
178 & 0.918398 & 0.163204 & 0.0816021 \tabularnewline
179 & 0.906116 & 0.187769 & 0.0938844 \tabularnewline
180 & 0.922716 & 0.154567 & 0.0772836 \tabularnewline
181 & 0.926725 & 0.146549 & 0.0732746 \tabularnewline
182 & 0.914086 & 0.171829 & 0.0859143 \tabularnewline
183 & 0.907396 & 0.185208 & 0.0926041 \tabularnewline
184 & 0.891896 & 0.216209 & 0.108104 \tabularnewline
185 & 0.897812 & 0.204375 & 0.102188 \tabularnewline
186 & 0.882572 & 0.234856 & 0.117428 \tabularnewline
187 & 0.919923 & 0.160154 & 0.0800772 \tabularnewline
188 & 0.910727 & 0.178546 & 0.0892729 \tabularnewline
189 & 0.900239 & 0.199522 & 0.099761 \tabularnewline
190 & 0.882985 & 0.23403 & 0.117015 \tabularnewline
191 & 0.864624 & 0.270753 & 0.135376 \tabularnewline
192 & 0.853977 & 0.292046 & 0.146023 \tabularnewline
193 & 0.846313 & 0.307374 & 0.153687 \tabularnewline
194 & 0.857346 & 0.285308 & 0.142654 \tabularnewline
195 & 0.847957 & 0.304087 & 0.152043 \tabularnewline
196 & 0.830613 & 0.338773 & 0.169387 \tabularnewline
197 & 0.842107 & 0.315786 & 0.157893 \tabularnewline
198 & 0.817538 & 0.364923 & 0.182462 \tabularnewline
199 & 0.836891 & 0.326217 & 0.163109 \tabularnewline
200 & 0.820317 & 0.359367 & 0.179683 \tabularnewline
201 & 0.812128 & 0.375743 & 0.187872 \tabularnewline
202 & 0.802713 & 0.394574 & 0.197287 \tabularnewline
203 & 0.777087 & 0.445827 & 0.222913 \tabularnewline
204 & 0.750602 & 0.498795 & 0.249398 \tabularnewline
205 & 0.723249 & 0.553502 & 0.276751 \tabularnewline
206 & 0.750524 & 0.498953 & 0.249476 \tabularnewline
207 & 0.760407 & 0.479185 & 0.239593 \tabularnewline
208 & 0.77651 & 0.44698 & 0.22349 \tabularnewline
209 & 0.748017 & 0.503965 & 0.251983 \tabularnewline
210 & 0.720707 & 0.558586 & 0.279293 \tabularnewline
211 & 0.709136 & 0.581727 & 0.290864 \tabularnewline
212 & 0.682646 & 0.634708 & 0.317354 \tabularnewline
213 & 0.737013 & 0.525973 & 0.262987 \tabularnewline
214 & 0.702896 & 0.594209 & 0.297104 \tabularnewline
215 & 0.668326 & 0.663347 & 0.331674 \tabularnewline
216 & 0.63721 & 0.72558 & 0.36279 \tabularnewline
217 & 0.617553 & 0.764895 & 0.382447 \tabularnewline
218 & 0.586495 & 0.82701 & 0.413505 \tabularnewline
219 & 0.547184 & 0.905633 & 0.452816 \tabularnewline
220 & 0.505822 & 0.988357 & 0.494178 \tabularnewline
221 & 0.467192 & 0.934384 & 0.532808 \tabularnewline
222 & 0.481336 & 0.962672 & 0.518664 \tabularnewline
223 & 0.442094 & 0.884189 & 0.557906 \tabularnewline
224 & 0.414492 & 0.828983 & 0.585508 \tabularnewline
225 & 0.435197 & 0.870395 & 0.564803 \tabularnewline
226 & 0.467968 & 0.935937 & 0.532032 \tabularnewline
227 & 0.497935 & 0.99587 & 0.502065 \tabularnewline
228 & 0.541953 & 0.916094 & 0.458047 \tabularnewline
229 & 0.507972 & 0.984056 & 0.492028 \tabularnewline
230 & 0.508133 & 0.983735 & 0.491867 \tabularnewline
231 & 0.552002 & 0.895996 & 0.447998 \tabularnewline
232 & 0.508009 & 0.983982 & 0.491991 \tabularnewline
233 & 0.488174 & 0.976349 & 0.511826 \tabularnewline
234 & 0.458744 & 0.917488 & 0.541256 \tabularnewline
235 & 0.417484 & 0.834969 & 0.582516 \tabularnewline
236 & 0.655517 & 0.688965 & 0.344483 \tabularnewline
237 & 0.622577 & 0.754845 & 0.377423 \tabularnewline
238 & 0.615435 & 0.76913 & 0.384565 \tabularnewline
239 & 0.58283 & 0.834339 & 0.41717 \tabularnewline
240 & 0.543914 & 0.912171 & 0.456086 \tabularnewline
241 & 0.537692 & 0.924615 & 0.462308 \tabularnewline
242 & 0.60341 & 0.793181 & 0.39659 \tabularnewline
243 & 0.565579 & 0.868841 & 0.434421 \tabularnewline
244 & 0.558375 & 0.883251 & 0.441625 \tabularnewline
245 & 0.660329 & 0.679341 & 0.339671 \tabularnewline
246 & 0.619436 & 0.761127 & 0.380564 \tabularnewline
247 & 0.561795 & 0.87641 & 0.438205 \tabularnewline
248 & 0.527957 & 0.944086 & 0.472043 \tabularnewline
249 & 0.468028 & 0.936056 & 0.531972 \tabularnewline
250 & 0.411946 & 0.823891 & 0.588054 \tabularnewline
251 & 0.407474 & 0.814949 & 0.592526 \tabularnewline
252 & 0.451477 & 0.902954 & 0.548523 \tabularnewline
253 & 0.412022 & 0.824043 & 0.587978 \tabularnewline
254 & 0.379276 & 0.758552 & 0.620724 \tabularnewline
255 & 0.341829 & 0.683658 & 0.658171 \tabularnewline
256 & 0.34998 & 0.699959 & 0.65002 \tabularnewline
257 & 0.421412 & 0.842824 & 0.578588 \tabularnewline
258 & 0.991606 & 0.0167881 & 0.00839403 \tabularnewline
259 & 0.98738 & 0.0252408 & 0.0126204 \tabularnewline
260 & 0.999267 & 0.00146652 & 0.000733262 \tabularnewline
261 & 0.998181 & 0.00363835 & 0.00181917 \tabularnewline
262 & 0.995675 & 0.00864956 & 0.00432478 \tabularnewline
263 & 0.992752 & 0.0144956 & 0.00724782 \tabularnewline
264 & 0.988118 & 0.0237649 & 0.0118825 \tabularnewline
265 & 0.973184 & 0.0536318 & 0.0268159 \tabularnewline
266 & 0.948647 & 0.102705 & 0.0513527 \tabularnewline
267 & 0.897421 & 0.205157 & 0.102579 \tabularnewline
268 & 0.815741 & 0.368518 & 0.184259 \tabularnewline
269 & 0.811376 & 0.377248 & 0.188624 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265626&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]9[/C][C]0.928001[/C][C]0.143999[/C][C]0.0719994[/C][/ROW]
[ROW][C]10[/C][C]0.87727[/C][C]0.245461[/C][C]0.12273[/C][/ROW]
[ROW][C]11[/C][C]0.797773[/C][C]0.404453[/C][C]0.202227[/C][/ROW]
[ROW][C]12[/C][C]0.787133[/C][C]0.425734[/C][C]0.212867[/C][/ROW]
[ROW][C]13[/C][C]0.724828[/C][C]0.550345[/C][C]0.275172[/C][/ROW]
[ROW][C]14[/C][C]0.659874[/C][C]0.680253[/C][C]0.340126[/C][/ROW]
[ROW][C]15[/C][C]0.619996[/C][C]0.760007[/C][C]0.380004[/C][/ROW]
[ROW][C]16[/C][C]0.532219[/C][C]0.935562[/C][C]0.467781[/C][/ROW]
[ROW][C]17[/C][C]0.497754[/C][C]0.995507[/C][C]0.502246[/C][/ROW]
[ROW][C]18[/C][C]0.420455[/C][C]0.84091[/C][C]0.579545[/C][/ROW]
[ROW][C]19[/C][C]0.382818[/C][C]0.765636[/C][C]0.617182[/C][/ROW]
[ROW][C]20[/C][C]0.314879[/C][C]0.629759[/C][C]0.685121[/C][/ROW]
[ROW][C]21[/C][C]0.266884[/C][C]0.533769[/C][C]0.733116[/C][/ROW]
[ROW][C]22[/C][C]0.248012[/C][C]0.496024[/C][C]0.751988[/C][/ROW]
[ROW][C]23[/C][C]0.221319[/C][C]0.442638[/C][C]0.778681[/C][/ROW]
[ROW][C]24[/C][C]0.177813[/C][C]0.355625[/C][C]0.822187[/C][/ROW]
[ROW][C]25[/C][C]0.135653[/C][C]0.271306[/C][C]0.864347[/C][/ROW]
[ROW][C]26[/C][C]0.103696[/C][C]0.207393[/C][C]0.896304[/C][/ROW]
[ROW][C]27[/C][C]0.0784121[/C][C]0.156824[/C][C]0.921588[/C][/ROW]
[ROW][C]28[/C][C]0.0684591[/C][C]0.136918[/C][C]0.931541[/C][/ROW]
[ROW][C]29[/C][C]0.0510761[/C][C]0.102152[/C][C]0.948924[/C][/ROW]
[ROW][C]30[/C][C]0.0708461[/C][C]0.141692[/C][C]0.929154[/C][/ROW]
[ROW][C]31[/C][C]0.0767918[/C][C]0.153584[/C][C]0.923208[/C][/ROW]
[ROW][C]32[/C][C]0.0567491[/C][C]0.113498[/C][C]0.943251[/C][/ROW]
[ROW][C]33[/C][C]0.0427488[/C][C]0.0854975[/C][C]0.957251[/C][/ROW]
[ROW][C]34[/C][C]0.0396715[/C][C]0.079343[/C][C]0.960328[/C][/ROW]
[ROW][C]35[/C][C]0.0288506[/C][C]0.0577013[/C][C]0.971149[/C][/ROW]
[ROW][C]36[/C][C]0.0210936[/C][C]0.0421871[/C][C]0.978906[/C][/ROW]
[ROW][C]37[/C][C]0.0147807[/C][C]0.0295614[/C][C]0.985219[/C][/ROW]
[ROW][C]38[/C][C]0.0160993[/C][C]0.0321987[/C][C]0.983901[/C][/ROW]
[ROW][C]39[/C][C]0.0331558[/C][C]0.0663117[/C][C]0.966844[/C][/ROW]
[ROW][C]40[/C][C]0.0261695[/C][C]0.052339[/C][C]0.973831[/C][/ROW]
[ROW][C]41[/C][C]0.0528911[/C][C]0.105782[/C][C]0.947109[/C][/ROW]
[ROW][C]42[/C][C]0.0462174[/C][C]0.0924348[/C][C]0.953783[/C][/ROW]
[ROW][C]43[/C][C]0.0527847[/C][C]0.105569[/C][C]0.947215[/C][/ROW]
[ROW][C]44[/C][C]0.0489073[/C][C]0.0978145[/C][C]0.951093[/C][/ROW]
[ROW][C]45[/C][C]0.0452375[/C][C]0.090475[/C][C]0.954763[/C][/ROW]
[ROW][C]46[/C][C]0.0351727[/C][C]0.0703453[/C][C]0.964827[/C][/ROW]
[ROW][C]47[/C][C]0.0273374[/C][C]0.0546748[/C][C]0.972663[/C][/ROW]
[ROW][C]48[/C][C]0.0407938[/C][C]0.0815877[/C][C]0.959206[/C][/ROW]
[ROW][C]49[/C][C]0.0408882[/C][C]0.0817763[/C][C]0.959112[/C][/ROW]
[ROW][C]50[/C][C]0.0549472[/C][C]0.109894[/C][C]0.945053[/C][/ROW]
[ROW][C]51[/C][C]0.0480274[/C][C]0.0960549[/C][C]0.951973[/C][/ROW]
[ROW][C]52[/C][C]0.0852845[/C][C]0.170569[/C][C]0.914715[/C][/ROW]
[ROW][C]53[/C][C]0.0922681[/C][C]0.184536[/C][C]0.907732[/C][/ROW]
[ROW][C]54[/C][C]0.143089[/C][C]0.286177[/C][C]0.856911[/C][/ROW]
[ROW][C]55[/C][C]0.187117[/C][C]0.374233[/C][C]0.812883[/C][/ROW]
[ROW][C]56[/C][C]0.165427[/C][C]0.330854[/C][C]0.834573[/C][/ROW]
[ROW][C]57[/C][C]0.284962[/C][C]0.569924[/C][C]0.715038[/C][/ROW]
[ROW][C]58[/C][C]0.294743[/C][C]0.589486[/C][C]0.705257[/C][/ROW]
[ROW][C]59[/C][C]0.259385[/C][C]0.51877[/C][C]0.740615[/C][/ROW]
[ROW][C]60[/C][C]0.305567[/C][C]0.611135[/C][C]0.694433[/C][/ROW]
[ROW][C]61[/C][C]0.298547[/C][C]0.597093[/C][C]0.701453[/C][/ROW]
[ROW][C]62[/C][C]0.287927[/C][C]0.575854[/C][C]0.712073[/C][/ROW]
[ROW][C]63[/C][C]0.449888[/C][C]0.899775[/C][C]0.550112[/C][/ROW]
[ROW][C]64[/C][C]0.526896[/C][C]0.946207[/C][C]0.473104[/C][/ROW]
[ROW][C]65[/C][C]0.504886[/C][C]0.990229[/C][C]0.495114[/C][/ROW]
[ROW][C]66[/C][C]0.47483[/C][C]0.949659[/C][C]0.52517[/C][/ROW]
[ROW][C]67[/C][C]0.467506[/C][C]0.935012[/C][C]0.532494[/C][/ROW]
[ROW][C]68[/C][C]0.427477[/C][C]0.854955[/C][C]0.572523[/C][/ROW]
[ROW][C]69[/C][C]0.459655[/C][C]0.91931[/C][C]0.540345[/C][/ROW]
[ROW][C]70[/C][C]0.439718[/C][C]0.879436[/C][C]0.560282[/C][/ROW]
[ROW][C]71[/C][C]0.408314[/C][C]0.816627[/C][C]0.591686[/C][/ROW]
[ROW][C]72[/C][C]0.381014[/C][C]0.762028[/C][C]0.618986[/C][/ROW]
[ROW][C]73[/C][C]0.363402[/C][C]0.726804[/C][C]0.636598[/C][/ROW]
[ROW][C]74[/C][C]0.355354[/C][C]0.710707[/C][C]0.644646[/C][/ROW]
[ROW][C]75[/C][C]0.329606[/C][C]0.659212[/C][C]0.670394[/C][/ROW]
[ROW][C]76[/C][C]0.303213[/C][C]0.606426[/C][C]0.696787[/C][/ROW]
[ROW][C]77[/C][C]0.298678[/C][C]0.597357[/C][C]0.701322[/C][/ROW]
[ROW][C]78[/C][C]0.282497[/C][C]0.564994[/C][C]0.717503[/C][/ROW]
[ROW][C]79[/C][C]0.261917[/C][C]0.523835[/C][C]0.738083[/C][/ROW]
[ROW][C]80[/C][C]0.322869[/C][C]0.645737[/C][C]0.677131[/C][/ROW]
[ROW][C]81[/C][C]0.294584[/C][C]0.589167[/C][C]0.705416[/C][/ROW]
[ROW][C]82[/C][C]0.328903[/C][C]0.657805[/C][C]0.671097[/C][/ROW]
[ROW][C]83[/C][C]0.300796[/C][C]0.601592[/C][C]0.699204[/C][/ROW]
[ROW][C]84[/C][C]0.403149[/C][C]0.806298[/C][C]0.596851[/C][/ROW]
[ROW][C]85[/C][C]0.387536[/C][C]0.775073[/C][C]0.612464[/C][/ROW]
[ROW][C]86[/C][C]0.355907[/C][C]0.711814[/C][C]0.644093[/C][/ROW]
[ROW][C]87[/C][C]0.326927[/C][C]0.653854[/C][C]0.673073[/C][/ROW]
[ROW][C]88[/C][C]0.299532[/C][C]0.599064[/C][C]0.700468[/C][/ROW]
[ROW][C]89[/C][C]0.301733[/C][C]0.603466[/C][C]0.698267[/C][/ROW]
[ROW][C]90[/C][C]0.324718[/C][C]0.649435[/C][C]0.675282[/C][/ROW]
[ROW][C]91[/C][C]0.331339[/C][C]0.662679[/C][C]0.668661[/C][/ROW]
[ROW][C]92[/C][C]0.458603[/C][C]0.917206[/C][C]0.541397[/C][/ROW]
[ROW][C]93[/C][C]0.42822[/C][C]0.85644[/C][C]0.57178[/C][/ROW]
[ROW][C]94[/C][C]0.425153[/C][C]0.850306[/C][C]0.574847[/C][/ROW]
[ROW][C]95[/C][C]0.472506[/C][C]0.945012[/C][C]0.527494[/C][/ROW]
[ROW][C]96[/C][C]0.446436[/C][C]0.892871[/C][C]0.553564[/C][/ROW]
[ROW][C]97[/C][C]0.465112[/C][C]0.930225[/C][C]0.534888[/C][/ROW]
[ROW][C]98[/C][C]0.450504[/C][C]0.901007[/C][C]0.549496[/C][/ROW]
[ROW][C]99[/C][C]0.508332[/C][C]0.983335[/C][C]0.491668[/C][/ROW]
[ROW][C]100[/C][C]0.615011[/C][C]0.769978[/C][C]0.384989[/C][/ROW]
[ROW][C]101[/C][C]0.583335[/C][C]0.83333[/C][C]0.416665[/C][/ROW]
[ROW][C]102[/C][C]0.559275[/C][C]0.88145[/C][C]0.440725[/C][/ROW]
[ROW][C]103[/C][C]0.554454[/C][C]0.891091[/C][C]0.445546[/C][/ROW]
[ROW][C]104[/C][C]0.561545[/C][C]0.876909[/C][C]0.438455[/C][/ROW]
[ROW][C]105[/C][C]0.594907[/C][C]0.810186[/C][C]0.405093[/C][/ROW]
[ROW][C]106[/C][C]0.61478[/C][C]0.77044[/C][C]0.38522[/C][/ROW]
[ROW][C]107[/C][C]0.625512[/C][C]0.748976[/C][C]0.374488[/C][/ROW]
[ROW][C]108[/C][C]0.769892[/C][C]0.460216[/C][C]0.230108[/C][/ROW]
[ROW][C]109[/C][C]0.831902[/C][C]0.336197[/C][C]0.168098[/C][/ROW]
[ROW][C]110[/C][C]0.834241[/C][C]0.331517[/C][C]0.165759[/C][/ROW]
[ROW][C]111[/C][C]0.820149[/C][C]0.359702[/C][C]0.179851[/C][/ROW]
[ROW][C]112[/C][C]0.808263[/C][C]0.383475[/C][C]0.191737[/C][/ROW]
[ROW][C]113[/C][C]0.880874[/C][C]0.238252[/C][C]0.119126[/C][/ROW]
[ROW][C]114[/C][C]0.878841[/C][C]0.242318[/C][C]0.121159[/C][/ROW]
[ROW][C]115[/C][C]0.897899[/C][C]0.204201[/C][C]0.102101[/C][/ROW]
[ROW][C]116[/C][C]0.916191[/C][C]0.167618[/C][C]0.0838088[/C][/ROW]
[ROW][C]117[/C][C]0.902968[/C][C]0.194064[/C][C]0.0970319[/C][/ROW]
[ROW][C]118[/C][C]0.910086[/C][C]0.179828[/C][C]0.0899142[/C][/ROW]
[ROW][C]119[/C][C]0.898469[/C][C]0.203062[/C][C]0.101531[/C][/ROW]
[ROW][C]120[/C][C]0.908821[/C][C]0.182357[/C][C]0.0911786[/C][/ROW]
[ROW][C]121[/C][C]0.920152[/C][C]0.159697[/C][C]0.0798483[/C][/ROW]
[ROW][C]122[/C][C]0.943016[/C][C]0.113968[/C][C]0.0569842[/C][/ROW]
[ROW][C]123[/C][C]0.937066[/C][C]0.125869[/C][C]0.0629344[/C][/ROW]
[ROW][C]124[/C][C]0.962112[/C][C]0.0757753[/C][C]0.0378877[/C][/ROW]
[ROW][C]125[/C][C]0.967013[/C][C]0.0659743[/C][C]0.0329872[/C][/ROW]
[ROW][C]126[/C][C]0.960769[/C][C]0.0784611[/C][C]0.0392305[/C][/ROW]
[ROW][C]127[/C][C]0.956231[/C][C]0.0875373[/C][C]0.0437686[/C][/ROW]
[ROW][C]128[/C][C]0.962086[/C][C]0.0758274[/C][C]0.0379137[/C][/ROW]
[ROW][C]129[/C][C]0.9617[/C][C]0.0765992[/C][C]0.0382996[/C][/ROW]
[ROW][C]130[/C][C]0.960024[/C][C]0.0799515[/C][C]0.0399758[/C][/ROW]
[ROW][C]131[/C][C]0.956685[/C][C]0.0866291[/C][C]0.0433145[/C][/ROW]
[ROW][C]132[/C][C]0.953125[/C][C]0.093749[/C][C]0.0468745[/C][/ROW]
[ROW][C]133[/C][C]0.950145[/C][C]0.09971[/C][C]0.049855[/C][/ROW]
[ROW][C]134[/C][C]0.942546[/C][C]0.114908[/C][C]0.0574542[/C][/ROW]
[ROW][C]135[/C][C]0.935259[/C][C]0.129482[/C][C]0.0647409[/C][/ROW]
[ROW][C]136[/C][C]0.928151[/C][C]0.143697[/C][C]0.0718486[/C][/ROW]
[ROW][C]137[/C][C]0.947642[/C][C]0.104716[/C][C]0.052358[/C][/ROW]
[ROW][C]138[/C][C]0.961956[/C][C]0.076087[/C][C]0.0380435[/C][/ROW]
[ROW][C]139[/C][C]0.954909[/C][C]0.0901816[/C][C]0.0450908[/C][/ROW]
[ROW][C]140[/C][C]0.947471[/C][C]0.105058[/C][C]0.0525291[/C][/ROW]
[ROW][C]141[/C][C]0.93847[/C][C]0.12306[/C][C]0.0615301[/C][/ROW]
[ROW][C]142[/C][C]0.951327[/C][C]0.0973454[/C][C]0.0486727[/C][/ROW]
[ROW][C]143[/C][C]0.948776[/C][C]0.102448[/C][C]0.0512239[/C][/ROW]
[ROW][C]144[/C][C]0.943957[/C][C]0.112087[/C][C]0.0560433[/C][/ROW]
[ROW][C]145[/C][C]0.940642[/C][C]0.118715[/C][C]0.0593576[/C][/ROW]
[ROW][C]146[/C][C]0.936174[/C][C]0.127652[/C][C]0.0638259[/C][/ROW]
[ROW][C]147[/C][C]0.929177[/C][C]0.141645[/C][C]0.0708227[/C][/ROW]
[ROW][C]148[/C][C]0.919356[/C][C]0.161289[/C][C]0.0806443[/C][/ROW]
[ROW][C]149[/C][C]0.924256[/C][C]0.151487[/C][C]0.0757436[/C][/ROW]
[ROW][C]150[/C][C]0.919321[/C][C]0.161357[/C][C]0.0806787[/C][/ROW]
[ROW][C]151[/C][C]0.962579[/C][C]0.0748419[/C][C]0.037421[/C][/ROW]
[ROW][C]152[/C][C]0.958557[/C][C]0.0828862[/C][C]0.0414431[/C][/ROW]
[ROW][C]153[/C][C]0.955703[/C][C]0.0885936[/C][C]0.0442968[/C][/ROW]
[ROW][C]154[/C][C]0.947803[/C][C]0.104393[/C][C]0.0521965[/C][/ROW]
[ROW][C]155[/C][C]0.954762[/C][C]0.0904764[/C][C]0.0452382[/C][/ROW]
[ROW][C]156[/C][C]0.946589[/C][C]0.106822[/C][C]0.0534108[/C][/ROW]
[ROW][C]157[/C][C]0.943327[/C][C]0.113346[/C][C]0.056673[/C][/ROW]
[ROW][C]158[/C][C]0.940633[/C][C]0.118735[/C][C]0.0593674[/C][/ROW]
[ROW][C]159[/C][C]0.933705[/C][C]0.13259[/C][C]0.0662949[/C][/ROW]
[ROW][C]160[/C][C]0.924845[/C][C]0.150309[/C][C]0.0751545[/C][/ROW]
[ROW][C]161[/C][C]0.941816[/C][C]0.116368[/C][C]0.0581839[/C][/ROW]
[ROW][C]162[/C][C]0.931777[/C][C]0.136445[/C][C]0.0682225[/C][/ROW]
[ROW][C]163[/C][C]0.92265[/C][C]0.1547[/C][C]0.0773499[/C][/ROW]
[ROW][C]164[/C][C]0.955465[/C][C]0.0890697[/C][C]0.0445349[/C][/ROW]
[ROW][C]165[/C][C]0.958923[/C][C]0.0821541[/C][C]0.041077[/C][/ROW]
[ROW][C]166[/C][C]0.953868[/C][C]0.092264[/C][C]0.046132[/C][/ROW]
[ROW][C]167[/C][C]0.948692[/C][C]0.102615[/C][C]0.0513076[/C][/ROW]
[ROW][C]168[/C][C]0.960695[/C][C]0.0786103[/C][C]0.0393052[/C][/ROW]
[ROW][C]169[/C][C]0.952611[/C][C]0.0947781[/C][C]0.047389[/C][/ROW]
[ROW][C]170[/C][C]0.954159[/C][C]0.0916818[/C][C]0.0458409[/C][/ROW]
[ROW][C]171[/C][C]0.945298[/C][C]0.109403[/C][C]0.0547017[/C][/ROW]
[ROW][C]172[/C][C]0.952617[/C][C]0.0947655[/C][C]0.0473827[/C][/ROW]
[ROW][C]173[/C][C]0.944926[/C][C]0.110148[/C][C]0.0550741[/C][/ROW]
[ROW][C]174[/C][C]0.934458[/C][C]0.131084[/C][C]0.0655418[/C][/ROW]
[ROW][C]175[/C][C]0.922504[/C][C]0.154991[/C][C]0.0774957[/C][/ROW]
[ROW][C]176[/C][C]0.925091[/C][C]0.149818[/C][C]0.0749088[/C][/ROW]
[ROW][C]177[/C][C]0.917061[/C][C]0.165877[/C][C]0.0829387[/C][/ROW]
[ROW][C]178[/C][C]0.918398[/C][C]0.163204[/C][C]0.0816021[/C][/ROW]
[ROW][C]179[/C][C]0.906116[/C][C]0.187769[/C][C]0.0938844[/C][/ROW]
[ROW][C]180[/C][C]0.922716[/C][C]0.154567[/C][C]0.0772836[/C][/ROW]
[ROW][C]181[/C][C]0.926725[/C][C]0.146549[/C][C]0.0732746[/C][/ROW]
[ROW][C]182[/C][C]0.914086[/C][C]0.171829[/C][C]0.0859143[/C][/ROW]
[ROW][C]183[/C][C]0.907396[/C][C]0.185208[/C][C]0.0926041[/C][/ROW]
[ROW][C]184[/C][C]0.891896[/C][C]0.216209[/C][C]0.108104[/C][/ROW]
[ROW][C]185[/C][C]0.897812[/C][C]0.204375[/C][C]0.102188[/C][/ROW]
[ROW][C]186[/C][C]0.882572[/C][C]0.234856[/C][C]0.117428[/C][/ROW]
[ROW][C]187[/C][C]0.919923[/C][C]0.160154[/C][C]0.0800772[/C][/ROW]
[ROW][C]188[/C][C]0.910727[/C][C]0.178546[/C][C]0.0892729[/C][/ROW]
[ROW][C]189[/C][C]0.900239[/C][C]0.199522[/C][C]0.099761[/C][/ROW]
[ROW][C]190[/C][C]0.882985[/C][C]0.23403[/C][C]0.117015[/C][/ROW]
[ROW][C]191[/C][C]0.864624[/C][C]0.270753[/C][C]0.135376[/C][/ROW]
[ROW][C]192[/C][C]0.853977[/C][C]0.292046[/C][C]0.146023[/C][/ROW]
[ROW][C]193[/C][C]0.846313[/C][C]0.307374[/C][C]0.153687[/C][/ROW]
[ROW][C]194[/C][C]0.857346[/C][C]0.285308[/C][C]0.142654[/C][/ROW]
[ROW][C]195[/C][C]0.847957[/C][C]0.304087[/C][C]0.152043[/C][/ROW]
[ROW][C]196[/C][C]0.830613[/C][C]0.338773[/C][C]0.169387[/C][/ROW]
[ROW][C]197[/C][C]0.842107[/C][C]0.315786[/C][C]0.157893[/C][/ROW]
[ROW][C]198[/C][C]0.817538[/C][C]0.364923[/C][C]0.182462[/C][/ROW]
[ROW][C]199[/C][C]0.836891[/C][C]0.326217[/C][C]0.163109[/C][/ROW]
[ROW][C]200[/C][C]0.820317[/C][C]0.359367[/C][C]0.179683[/C][/ROW]
[ROW][C]201[/C][C]0.812128[/C][C]0.375743[/C][C]0.187872[/C][/ROW]
[ROW][C]202[/C][C]0.802713[/C][C]0.394574[/C][C]0.197287[/C][/ROW]
[ROW][C]203[/C][C]0.777087[/C][C]0.445827[/C][C]0.222913[/C][/ROW]
[ROW][C]204[/C][C]0.750602[/C][C]0.498795[/C][C]0.249398[/C][/ROW]
[ROW][C]205[/C][C]0.723249[/C][C]0.553502[/C][C]0.276751[/C][/ROW]
[ROW][C]206[/C][C]0.750524[/C][C]0.498953[/C][C]0.249476[/C][/ROW]
[ROW][C]207[/C][C]0.760407[/C][C]0.479185[/C][C]0.239593[/C][/ROW]
[ROW][C]208[/C][C]0.77651[/C][C]0.44698[/C][C]0.22349[/C][/ROW]
[ROW][C]209[/C][C]0.748017[/C][C]0.503965[/C][C]0.251983[/C][/ROW]
[ROW][C]210[/C][C]0.720707[/C][C]0.558586[/C][C]0.279293[/C][/ROW]
[ROW][C]211[/C][C]0.709136[/C][C]0.581727[/C][C]0.290864[/C][/ROW]
[ROW][C]212[/C][C]0.682646[/C][C]0.634708[/C][C]0.317354[/C][/ROW]
[ROW][C]213[/C][C]0.737013[/C][C]0.525973[/C][C]0.262987[/C][/ROW]
[ROW][C]214[/C][C]0.702896[/C][C]0.594209[/C][C]0.297104[/C][/ROW]
[ROW][C]215[/C][C]0.668326[/C][C]0.663347[/C][C]0.331674[/C][/ROW]
[ROW][C]216[/C][C]0.63721[/C][C]0.72558[/C][C]0.36279[/C][/ROW]
[ROW][C]217[/C][C]0.617553[/C][C]0.764895[/C][C]0.382447[/C][/ROW]
[ROW][C]218[/C][C]0.586495[/C][C]0.82701[/C][C]0.413505[/C][/ROW]
[ROW][C]219[/C][C]0.547184[/C][C]0.905633[/C][C]0.452816[/C][/ROW]
[ROW][C]220[/C][C]0.505822[/C][C]0.988357[/C][C]0.494178[/C][/ROW]
[ROW][C]221[/C][C]0.467192[/C][C]0.934384[/C][C]0.532808[/C][/ROW]
[ROW][C]222[/C][C]0.481336[/C][C]0.962672[/C][C]0.518664[/C][/ROW]
[ROW][C]223[/C][C]0.442094[/C][C]0.884189[/C][C]0.557906[/C][/ROW]
[ROW][C]224[/C][C]0.414492[/C][C]0.828983[/C][C]0.585508[/C][/ROW]
[ROW][C]225[/C][C]0.435197[/C][C]0.870395[/C][C]0.564803[/C][/ROW]
[ROW][C]226[/C][C]0.467968[/C][C]0.935937[/C][C]0.532032[/C][/ROW]
[ROW][C]227[/C][C]0.497935[/C][C]0.99587[/C][C]0.502065[/C][/ROW]
[ROW][C]228[/C][C]0.541953[/C][C]0.916094[/C][C]0.458047[/C][/ROW]
[ROW][C]229[/C][C]0.507972[/C][C]0.984056[/C][C]0.492028[/C][/ROW]
[ROW][C]230[/C][C]0.508133[/C][C]0.983735[/C][C]0.491867[/C][/ROW]
[ROW][C]231[/C][C]0.552002[/C][C]0.895996[/C][C]0.447998[/C][/ROW]
[ROW][C]232[/C][C]0.508009[/C][C]0.983982[/C][C]0.491991[/C][/ROW]
[ROW][C]233[/C][C]0.488174[/C][C]0.976349[/C][C]0.511826[/C][/ROW]
[ROW][C]234[/C][C]0.458744[/C][C]0.917488[/C][C]0.541256[/C][/ROW]
[ROW][C]235[/C][C]0.417484[/C][C]0.834969[/C][C]0.582516[/C][/ROW]
[ROW][C]236[/C][C]0.655517[/C][C]0.688965[/C][C]0.344483[/C][/ROW]
[ROW][C]237[/C][C]0.622577[/C][C]0.754845[/C][C]0.377423[/C][/ROW]
[ROW][C]238[/C][C]0.615435[/C][C]0.76913[/C][C]0.384565[/C][/ROW]
[ROW][C]239[/C][C]0.58283[/C][C]0.834339[/C][C]0.41717[/C][/ROW]
[ROW][C]240[/C][C]0.543914[/C][C]0.912171[/C][C]0.456086[/C][/ROW]
[ROW][C]241[/C][C]0.537692[/C][C]0.924615[/C][C]0.462308[/C][/ROW]
[ROW][C]242[/C][C]0.60341[/C][C]0.793181[/C][C]0.39659[/C][/ROW]
[ROW][C]243[/C][C]0.565579[/C][C]0.868841[/C][C]0.434421[/C][/ROW]
[ROW][C]244[/C][C]0.558375[/C][C]0.883251[/C][C]0.441625[/C][/ROW]
[ROW][C]245[/C][C]0.660329[/C][C]0.679341[/C][C]0.339671[/C][/ROW]
[ROW][C]246[/C][C]0.619436[/C][C]0.761127[/C][C]0.380564[/C][/ROW]
[ROW][C]247[/C][C]0.561795[/C][C]0.87641[/C][C]0.438205[/C][/ROW]
[ROW][C]248[/C][C]0.527957[/C][C]0.944086[/C][C]0.472043[/C][/ROW]
[ROW][C]249[/C][C]0.468028[/C][C]0.936056[/C][C]0.531972[/C][/ROW]
[ROW][C]250[/C][C]0.411946[/C][C]0.823891[/C][C]0.588054[/C][/ROW]
[ROW][C]251[/C][C]0.407474[/C][C]0.814949[/C][C]0.592526[/C][/ROW]
[ROW][C]252[/C][C]0.451477[/C][C]0.902954[/C][C]0.548523[/C][/ROW]
[ROW][C]253[/C][C]0.412022[/C][C]0.824043[/C][C]0.587978[/C][/ROW]
[ROW][C]254[/C][C]0.379276[/C][C]0.758552[/C][C]0.620724[/C][/ROW]
[ROW][C]255[/C][C]0.341829[/C][C]0.683658[/C][C]0.658171[/C][/ROW]
[ROW][C]256[/C][C]0.34998[/C][C]0.699959[/C][C]0.65002[/C][/ROW]
[ROW][C]257[/C][C]0.421412[/C][C]0.842824[/C][C]0.578588[/C][/ROW]
[ROW][C]258[/C][C]0.991606[/C][C]0.0167881[/C][C]0.00839403[/C][/ROW]
[ROW][C]259[/C][C]0.98738[/C][C]0.0252408[/C][C]0.0126204[/C][/ROW]
[ROW][C]260[/C][C]0.999267[/C][C]0.00146652[/C][C]0.000733262[/C][/ROW]
[ROW][C]261[/C][C]0.998181[/C][C]0.00363835[/C][C]0.00181917[/C][/ROW]
[ROW][C]262[/C][C]0.995675[/C][C]0.00864956[/C][C]0.00432478[/C][/ROW]
[ROW][C]263[/C][C]0.992752[/C][C]0.0144956[/C][C]0.00724782[/C][/ROW]
[ROW][C]264[/C][C]0.988118[/C][C]0.0237649[/C][C]0.0118825[/C][/ROW]
[ROW][C]265[/C][C]0.973184[/C][C]0.0536318[/C][C]0.0268159[/C][/ROW]
[ROW][C]266[/C][C]0.948647[/C][C]0.102705[/C][C]0.0513527[/C][/ROW]
[ROW][C]267[/C][C]0.897421[/C][C]0.205157[/C][C]0.102579[/C][/ROW]
[ROW][C]268[/C][C]0.815741[/C][C]0.368518[/C][C]0.184259[/C][/ROW]
[ROW][C]269[/C][C]0.811376[/C][C]0.377248[/C][C]0.188624[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265626&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265626&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
90.9280010.1439990.0719994
100.877270.2454610.12273
110.7977730.4044530.202227
120.7871330.4257340.212867
130.7248280.5503450.275172
140.6598740.6802530.340126
150.6199960.7600070.380004
160.5322190.9355620.467781
170.4977540.9955070.502246
180.4204550.840910.579545
190.3828180.7656360.617182
200.3148790.6297590.685121
210.2668840.5337690.733116
220.2480120.4960240.751988
230.2213190.4426380.778681
240.1778130.3556250.822187
250.1356530.2713060.864347
260.1036960.2073930.896304
270.07841210.1568240.921588
280.06845910.1369180.931541
290.05107610.1021520.948924
300.07084610.1416920.929154
310.07679180.1535840.923208
320.05674910.1134980.943251
330.04274880.08549750.957251
340.03967150.0793430.960328
350.02885060.05770130.971149
360.02109360.04218710.978906
370.01478070.02956140.985219
380.01609930.03219870.983901
390.03315580.06631170.966844
400.02616950.0523390.973831
410.05289110.1057820.947109
420.04621740.09243480.953783
430.05278470.1055690.947215
440.04890730.09781450.951093
450.04523750.0904750.954763
460.03517270.07034530.964827
470.02733740.05467480.972663
480.04079380.08158770.959206
490.04088820.08177630.959112
500.05494720.1098940.945053
510.04802740.09605490.951973
520.08528450.1705690.914715
530.09226810.1845360.907732
540.1430890.2861770.856911
550.1871170.3742330.812883
560.1654270.3308540.834573
570.2849620.5699240.715038
580.2947430.5894860.705257
590.2593850.518770.740615
600.3055670.6111350.694433
610.2985470.5970930.701453
620.2879270.5758540.712073
630.4498880.8997750.550112
640.5268960.9462070.473104
650.5048860.9902290.495114
660.474830.9496590.52517
670.4675060.9350120.532494
680.4274770.8549550.572523
690.4596550.919310.540345
700.4397180.8794360.560282
710.4083140.8166270.591686
720.3810140.7620280.618986
730.3634020.7268040.636598
740.3553540.7107070.644646
750.3296060.6592120.670394
760.3032130.6064260.696787
770.2986780.5973570.701322
780.2824970.5649940.717503
790.2619170.5238350.738083
800.3228690.6457370.677131
810.2945840.5891670.705416
820.3289030.6578050.671097
830.3007960.6015920.699204
840.4031490.8062980.596851
850.3875360.7750730.612464
860.3559070.7118140.644093
870.3269270.6538540.673073
880.2995320.5990640.700468
890.3017330.6034660.698267
900.3247180.6494350.675282
910.3313390.6626790.668661
920.4586030.9172060.541397
930.428220.856440.57178
940.4251530.8503060.574847
950.4725060.9450120.527494
960.4464360.8928710.553564
970.4651120.9302250.534888
980.4505040.9010070.549496
990.5083320.9833350.491668
1000.6150110.7699780.384989
1010.5833350.833330.416665
1020.5592750.881450.440725
1030.5544540.8910910.445546
1040.5615450.8769090.438455
1050.5949070.8101860.405093
1060.614780.770440.38522
1070.6255120.7489760.374488
1080.7698920.4602160.230108
1090.8319020.3361970.168098
1100.8342410.3315170.165759
1110.8201490.3597020.179851
1120.8082630.3834750.191737
1130.8808740.2382520.119126
1140.8788410.2423180.121159
1150.8978990.2042010.102101
1160.9161910.1676180.0838088
1170.9029680.1940640.0970319
1180.9100860.1798280.0899142
1190.8984690.2030620.101531
1200.9088210.1823570.0911786
1210.9201520.1596970.0798483
1220.9430160.1139680.0569842
1230.9370660.1258690.0629344
1240.9621120.07577530.0378877
1250.9670130.06597430.0329872
1260.9607690.07846110.0392305
1270.9562310.08753730.0437686
1280.9620860.07582740.0379137
1290.96170.07659920.0382996
1300.9600240.07995150.0399758
1310.9566850.08662910.0433145
1320.9531250.0937490.0468745
1330.9501450.099710.049855
1340.9425460.1149080.0574542
1350.9352590.1294820.0647409
1360.9281510.1436970.0718486
1370.9476420.1047160.052358
1380.9619560.0760870.0380435
1390.9549090.09018160.0450908
1400.9474710.1050580.0525291
1410.938470.123060.0615301
1420.9513270.09734540.0486727
1430.9487760.1024480.0512239
1440.9439570.1120870.0560433
1450.9406420.1187150.0593576
1460.9361740.1276520.0638259
1470.9291770.1416450.0708227
1480.9193560.1612890.0806443
1490.9242560.1514870.0757436
1500.9193210.1613570.0806787
1510.9625790.07484190.037421
1520.9585570.08288620.0414431
1530.9557030.08859360.0442968
1540.9478030.1043930.0521965
1550.9547620.09047640.0452382
1560.9465890.1068220.0534108
1570.9433270.1133460.056673
1580.9406330.1187350.0593674
1590.9337050.132590.0662949
1600.9248450.1503090.0751545
1610.9418160.1163680.0581839
1620.9317770.1364450.0682225
1630.922650.15470.0773499
1640.9554650.08906970.0445349
1650.9589230.08215410.041077
1660.9538680.0922640.046132
1670.9486920.1026150.0513076
1680.9606950.07861030.0393052
1690.9526110.09477810.047389
1700.9541590.09168180.0458409
1710.9452980.1094030.0547017
1720.9526170.09476550.0473827
1730.9449260.1101480.0550741
1740.9344580.1310840.0655418
1750.9225040.1549910.0774957
1760.9250910.1498180.0749088
1770.9170610.1658770.0829387
1780.9183980.1632040.0816021
1790.9061160.1877690.0938844
1800.9227160.1545670.0772836
1810.9267250.1465490.0732746
1820.9140860.1718290.0859143
1830.9073960.1852080.0926041
1840.8918960.2162090.108104
1850.8978120.2043750.102188
1860.8825720.2348560.117428
1870.9199230.1601540.0800772
1880.9107270.1785460.0892729
1890.9002390.1995220.099761
1900.8829850.234030.117015
1910.8646240.2707530.135376
1920.8539770.2920460.146023
1930.8463130.3073740.153687
1940.8573460.2853080.142654
1950.8479570.3040870.152043
1960.8306130.3387730.169387
1970.8421070.3157860.157893
1980.8175380.3649230.182462
1990.8368910.3262170.163109
2000.8203170.3593670.179683
2010.8121280.3757430.187872
2020.8027130.3945740.197287
2030.7770870.4458270.222913
2040.7506020.4987950.249398
2050.7232490.5535020.276751
2060.7505240.4989530.249476
2070.7604070.4791850.239593
2080.776510.446980.22349
2090.7480170.5039650.251983
2100.7207070.5585860.279293
2110.7091360.5817270.290864
2120.6826460.6347080.317354
2130.7370130.5259730.262987
2140.7028960.5942090.297104
2150.6683260.6633470.331674
2160.637210.725580.36279
2170.6175530.7648950.382447
2180.5864950.827010.413505
2190.5471840.9056330.452816
2200.5058220.9883570.494178
2210.4671920.9343840.532808
2220.4813360.9626720.518664
2230.4420940.8841890.557906
2240.4144920.8289830.585508
2250.4351970.8703950.564803
2260.4679680.9359370.532032
2270.4979350.995870.502065
2280.5419530.9160940.458047
2290.5079720.9840560.492028
2300.5081330.9837350.491867
2310.5520020.8959960.447998
2320.5080090.9839820.491991
2330.4881740.9763490.511826
2340.4587440.9174880.541256
2350.4174840.8349690.582516
2360.6555170.6889650.344483
2370.6225770.7548450.377423
2380.6154350.769130.384565
2390.582830.8343390.41717
2400.5439140.9121710.456086
2410.5376920.9246150.462308
2420.603410.7931810.39659
2430.5655790.8688410.434421
2440.5583750.8832510.441625
2450.6603290.6793410.339671
2460.6194360.7611270.380564
2470.5617950.876410.438205
2480.5279570.9440860.472043
2490.4680280.9360560.531972
2500.4119460.8238910.588054
2510.4074740.8149490.592526
2520.4514770.9029540.548523
2530.4120220.8240430.587978
2540.3792760.7585520.620724
2550.3418290.6836580.658171
2560.349980.6999590.65002
2570.4214120.8428240.578588
2580.9916060.01678810.00839403
2590.987380.02524080.0126204
2600.9992670.001466520.000733262
2610.9981810.003638350.00181917
2620.9956750.008649560.00432478
2630.9927520.01449560.00724782
2640.9881180.02376490.0118825
2650.9731840.05363180.0268159
2660.9486470.1027050.0513527
2670.8974210.2051570.102579
2680.8157410.3685180.184259
2690.8113760.3772480.188624






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level30.0114943NOK
5% type I error level100.0383142OK
10% type I error level480.183908NOK

\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 & 3 & 0.0114943 & NOK \tabularnewline
5% type I error level & 10 & 0.0383142 & OK \tabularnewline
10% type I error level & 48 & 0.183908 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265626&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]3[/C][C]0.0114943[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]10[/C][C]0.0383142[/C][C]OK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]48[/C][C]0.183908[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265626&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265626&T=6

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level30.0114943NOK
5% type I error level100.0383142OK
10% type I error level480.183908NOK


Figures (Output of Computation)

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Input Parameters & R Code

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