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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationSat, 13 Dec 2014 12:54:23 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/13/t14184763865hv47v634o6znqv.htm/, Retrieved Thu, 16 May 2024 11:59:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=267065, Retrieved Thu, 16 May 2024 11:59:09 +0000
QR Codes:

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

Tree of Dependent Computations

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

Dataseries X:
Download CSV
Histogram
Boxplots 
26 50 4 13 12 21 149
57 62 4 8 8 22 139
37 54 5 14 11 22 148
67 71 4 16 13 18 158
43 54 4 14 11 23 128
52 65 9 13 10 12 224
52 73 8 15 7 20 159
43 52 11 13 10 22 105
84 84 4 20 15 21 159
67 42 4 17 12 19 167
49 66 6 15 12 22 165
70 65 4 16 10 15 159
52 78 8 12 10 20 119
58 73 4 17 14 19 176
68 75 4 11 6 18 54
62 72 11 16 12 15 91
43 66 4 16 14 20 163
56 70 4 15 11 21 124
56 61 6 13 8 21 137
74 81 6 14 12 15 121
65 71 4 19 15 16 153
63 69 8 16 13 23 148
58 71 5 17 11 21 221
57 72 4 10 12 18 188
63 68 9 15 7 25 149
53 70 4 14 11 9 244
57 68 7 14 7 30 148
51 61 10 16 12 20 92
64 67 4 15 12 23 150
53 76 4 17 13 16 153
29 70 7 14 9 16 94
54 60 12 16 11 19 156
58 72 7 15 12 25 132
43 69 5 16 15 18 161
51 71 8 16 12 23 105
53 62 5 10 6 21 97
54 70 4 8 5 10 151
56 64 9 17 13 14 131
61 58 7 14 11 22 166
47 76 4 10 6 26 157
39 52 4 14 12 23 111
48 59 4 12 10 23 145
50 68 4 16 6 24 162
35 76 4 16 12 24 163
30 65 7 16 11 18 59
68 67 4 8 6 23 187
49 59 7 16 12 15 109
61 69 4 15 12 19 90
67 76 4 8 8 16 105
47 63 4 13 10 25 83
56 75 4 14 11 23 116
50 63 8 13 7 17 42
43 60 4 16 12 19 148
67 73 4 19 13 21 155
62 63 4 19 14 18 125
57 70 4 14 12 27 116
41 75 7 15 6 21 128
54 66 12 13 14 13 138
45 63 4 10 10 8 49
48 63 4 16 12 29 96
61 64 4 15 11 28 164
56 70 5 11 10 23 162
41 75 15 9 7 21 99
43 61 5 16 12 19 202
53 60 10 12 7 19 186
44 62 9 12 12 20 66
66 73 8 14 12 18 183
58 61 4 14 10 19 214
46 66 5 13 10 17 188
37 64 4 15 12 19 104
51 59 9 17 12 25 177
51 64 4 14 12 19 126
56 60 10 11 8 22 76
66 56 4 9 10 23 99
37 78 4 7 5 14 139
42 67 7 15 10 16 162
38 59 5 12 12 24 108
66 66 4 15 11 20 159
34 68 4 14 9 12 74
53 71 4 16 12 24 110
49 66 4 14 11 22 96
55 73 4 13 10 12 116
49 72 4 16 12 22 87
59 71 6 13 10 20 97
40 59 10 16 9 10 127
58 64 7 16 11 23 106
60 66 4 16 12 17 80
63 78 4 10 7 22 74
56 68 7 12 11 24 91
54 73 4 12 12 18 133
52 62 8 12 6 21 74
34 65 11 12 9 20 114
69 68 6 19 15 20 140
32 65 14 14 10 22 95
48 60 5 13 11 19 98
67 71 4 16 12 20 121
58 65 8 15 12 26 126
57 68 9 12 12 23 98
42 64 4 8 11 24 95
64 74 4 10 9 21 110
58 69 5 16 11 21 70
66 76 4 16 12 19 102
26 68 5 10 12 8 86
61 72 4 18 14 17 130
52 67 4 12 8 20 96
51 63 7 16 10 11 102
55 59 10 10 9 8 100
50 73 4 14 10 15 94
60 66 5 12 9 18 52
56 62 4 11 10 18 98
63 69 4 15 12 19 118
61 66 4 7 11 19 99
52 51 6 16 9 23 48
16 56 4 16 11 22 50
46 67 8 16 12 21 150
56 69 5 16 12 25 154
52 57 4 12 7 30 109
55 56 17 15 12 17 68
50 55 4 14 12 27 194
59 63 4 15 12 23 158
60 67 8 16 10 23 159
52 65 4 13 15 18 67
44 47 7 10 10 18 147
67 76 4 17 15 23 39
52 64 4 15 10 19 100
55 68 5 18 15 15 111
37 64 7 16 9 20 138
54 65 4 20 15 16 101
72 71 4 16 12 24 131
51 63 7 17 13 25 101
48 60 11 16 12 25 114
60 68 7 15 12 19 165
50 72 4 13 8 19 114
63 70 4 16 9 16 111
33 61 4 16 15 19 75
67 61 4 16 12 19 82
46 62 4 17 12 23 121
54 71 4 20 15 21 32
59 71 6 14 11 22 150
61 51 8 17 12 19 117
33 56 23 6 6 20 71
47 70 4 16 14 20 165
69 73 8 15 12 3 154
52 76 6 16 12 23 126
55 68 4 16 12 23 149
41 48 7 14 11 20 145
73 52 4 16 12 15 120
52 60 4 16 12 16 109
50 59 4 16 12 7 132
51 57 10 14 12 24 172
60 79 6 14 8 17 169
56 60 5 16 8 24 114
56 60 5 16 12 24 156
29 59 4 15 12 19 172
66 62 4 16 11 25 68
66 59 5 16 10 20 89
73 61 5 18 11 28 167
55 71 5 15 12 23 113
64 57 5 16 13 27 115
40 66 4 16 12 18 78
46 63 6 16 12 28 118
58 69 4 17 10 21 87
43 58 4 14 10 19 173
61 59 4 18 11 23 2
51 48 9 9 8 27 162
50 66 18 15 12 22 49
52 73 6 14 9 28 122
54 67 5 15 12 25 96
66 61 4 13 9 21 100
61 68 11 16 11 22 82
80 75 4 20 15 28 100
51 62 10 14 8 20 115
56 69 6 12 8 29 141
56 58 8 15 11 25 165
56 60 8 15 11 25 165
53 74 6 15 11 20 110
47 55 8 16 13 20 118
25 62 4 11 7 16 158
47 63 4 16 12 20 146
46 69 9 7 8 20 49
50 58 9 11 8 23 90
39 58 5 9 4 18 121
51 68 4 15 11 25 155
58 72 4 16 10 18 104
35 62 15 14 7 19 147
58 62 10 15 12 25 110
60 65 9 13 11 25 108
62 69 7 13 9 25 113
63 66 9 12 10 24 115
53 72 6 16 8 19 61
46 62 4 14 8 26 60
67 75 7 16 11 10 109
59 58 4 14 12 17 68
64 66 7 15 10 13 111
38 55 4 10 10 17 77
50 47 15 16 12 30 73
48 72 4 14 8 25 151
48 62 9 16 11 4 89
47 64 4 12 8 16 78
66 64 4 16 10 21 110
47 19 28 16 14 23 220
63 50 4 15 9 22 65
58 68 4 14 9 17 141
44 70 4 16 10 20 117
51 79 5 11 13 20 122
43 69 4 15 12 22 63
55 71 4 18 13 16 44
38 48 12 13 8 23 52
45 73 4 7 3 0 131
50 74 6 7 8 18 101
54 66 6 17 12 25 42
57 71 5 18 11 23 152
60 74 4 15 9 12 107
55 78 4 8 12 18 77
56 75 4 13 12 24 154
49 53 10 13 12 11 103
37 60 7 15 10 18 96
59 70 4 18 13 23 175
46 69 7 16 9 24 57
51 65 4 14 12 29 112
58 78 4 15 11 18 143
64 78 12 19 14 15 49
53 59 5 16 11 29 110
48 72 8 12 9 16 131
51 70 6 16 12 19 167
47 63 17 11 8 22 56
59 63 4 16 15 16 137
62 71 5 15 12 23 86
62 74 4 19 14 23 121
51 67 5 15 12 19 149
64 66 5 14 9 4 168
52 62 6 14 9 20 140
67 80 4 17 13 24 88
50 73 4 16 13 20 168
54 67 4 20 15 4 94
58 61 6 16 11 24 51
56 73 8 9 7 22 48
63 74 10 13 10 16 145
31 32 4 15 11 3 66
65 69 5 19 14 15 85
71 69 4 16 14 24 109
50 84 4 17 13 17 63
57 64 4 16 12 20 102
47 58 16 9 8 27 162
47 59 7 11 13 26 86
57 78 4 14 9 23 114
43 57 4 19 12 17 164
41 60 14 13 13 20 119
63 68 5 14 11 22 126
63 68 5 15 11 19 132
56 73 5 15 13 24 142
51 69 5 14 12 19 83
50 67 7 16 12 23 94
22 60 19 17 10 15 81
41 65 16 12 9 27 166
59 66 4 15 10 26 110
56 74 4 17 13 22 64
66 81 7 15 13 22 93
53 72 9 10 9 18 104
42 55 5 16 11 15 105
52 49 14 15 12 22 49
54 74 4 11 8 27 88
44 53 16 16 12 10 95
62 64 10 16 12 20 102
53 65 5 16 12 17 99
50 57 6 14 9 23 63
36 51 4 14 12 19 76
76 80 4 16 12 13 109
66 67 4 16 11 27 117
62 70 5 18 12 23 57
59 74 4 14 6 16 120
47 75 4 20 7 25 73
55 70 5 15 10 2 91
58 69 4 16 12 26 108
60 65 4 16 10 20 105
44 55 5 16 12 23 117
57 71 8 12 9 22 119

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 8 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267065&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]8 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267065&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267065&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Multiple Linear Regression - Estimated Regression Equation
LFM[t] = + 124.938 + 0.322061AMS.I[t] -0.197745AMS.E[t] -0.0419087AMS.A[t] + 0.386945CONFSTATTOT[t] + 0.157338CONFSOFTTOT[t] + 0.0599685NUMERACYTOT[t] -0.148173t + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
LFM[t] =  +  124.938 +  0.322061AMS.I[t] -0.197745AMS.E[t] -0.0419087AMS.A[t] +  0.386945CONFSTATTOT[t] +  0.157338CONFSOFTTOT[t] +  0.0599685NUMERACYTOT[t] -0.148173t  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267065&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]LFM[t] =  +  124.938 +  0.322061AMS.I[t] -0.197745AMS.E[t] -0.0419087AMS.A[t] +  0.386945CONFSTATTOT[t] +  0.157338CONFSOFTTOT[t] +  0.0599685NUMERACYTOT[t] -0.148173t  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267065&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267065&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
LFM[t] = + 124.938 + 0.322061AMS.I[t] -0.197745AMS.E[t] -0.0419087AMS.A[t] + 0.386945CONFSTATTOT[t] + 0.157338CONFSOFTTOT[t] + 0.0599685NUMERACYTOT[t] -0.148173t + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)124.93827.67254.5159.48396e-064.74198e-06
AMS.I0.3220610.2473111.3020.1939450.0969727
AMS.E-0.1977450.314811-0.62810.5304460.265223
AMS.A-0.04190870.722568-0.0580.9537920.476896
CONFSTATTOT0.3869451.095250.35330.7241450.362073
CONFSOFTTOT0.1573381.306030.12050.90420.4521
NUMERACYTOT0.05996850.4515690.13280.8944510.447225
t-0.1481730.0290164-5.1076.21913e-073.10956e-07

\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) & 124.938 & 27.6725 & 4.515 & 9.48396e-06 & 4.74198e-06 \tabularnewline
AMS.I & 0.322061 & 0.247311 & 1.302 & 0.193945 & 0.0969727 \tabularnewline
AMS.E & -0.197745 & 0.314811 & -0.6281 & 0.530446 & 0.265223 \tabularnewline
AMS.A & -0.0419087 & 0.722568 & -0.058 & 0.953792 & 0.476896 \tabularnewline
CONFSTATTOT & 0.386945 & 1.09525 & 0.3533 & 0.724145 & 0.362073 \tabularnewline
CONFSOFTTOT & 0.157338 & 1.30603 & 0.1205 & 0.9042 & 0.4521 \tabularnewline
NUMERACYTOT & 0.0599685 & 0.451569 & 0.1328 & 0.894451 & 0.447225 \tabularnewline
t & -0.148173 & 0.0290164 & -5.107 & 6.21913e-07 & 3.10956e-07 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267065&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]124.938[/C][C]27.6725[/C][C]4.515[/C][C]9.48396e-06[/C][C]4.74198e-06[/C][/ROW]
[ROW][C]AMS.I[/C][C]0.322061[/C][C]0.247311[/C][C]1.302[/C][C]0.193945[/C][C]0.0969727[/C][/ROW]
[ROW][C]AMS.E[/C][C]-0.197745[/C][C]0.314811[/C][C]-0.6281[/C][C]0.530446[/C][C]0.265223[/C][/ROW]
[ROW][C]AMS.A[/C][C]-0.0419087[/C][C]0.722568[/C][C]-0.058[/C][C]0.953792[/C][C]0.476896[/C][/ROW]
[ROW][C]CONFSTATTOT[/C][C]0.386945[/C][C]1.09525[/C][C]0.3533[/C][C]0.724145[/C][C]0.362073[/C][/ROW]
[ROW][C]CONFSOFTTOT[/C][C]0.157338[/C][C]1.30603[/C][C]0.1205[/C][C]0.9042[/C][C]0.4521[/C][/ROW]
[ROW][C]NUMERACYTOT[/C][C]0.0599685[/C][C]0.451569[/C][C]0.1328[/C][C]0.894451[/C][C]0.447225[/C][/ROW]
[ROW][C]t[/C][C]-0.148173[/C][C]0.0290164[/C][C]-5.107[/C][C]6.21913e-07[/C][C]3.10956e-07[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267065&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267065&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)124.93827.67254.5159.48396e-064.74198e-06
AMS.I0.3220610.2473111.3020.1939450.0969727
AMS.E-0.1977450.314811-0.62810.5304460.265223
AMS.A-0.04190870.722568-0.0580.9537920.476896
CONFSTATTOT0.3869451.095250.35330.7241450.362073
CONFSOFTTOT0.1573381.306030.12050.90420.4521
NUMERACYTOT0.05996850.4515690.13280.8944510.447225
t-0.1481730.0290164-5.1076.21913e-073.10956e-07






Multiple Linear Regression - Regression Statistics
Multiple R0.310143
R-squared0.0961888
Adjusted R-squared0.0726695
F-TEST (value)4.08979
F-TEST (DF numerator)7
F-TEST (DF denominator)269
p-value0.000275893
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation38.1078
Sum Squared Residuals390642

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.310143 \tabularnewline
R-squared & 0.0961888 \tabularnewline
Adjusted R-squared & 0.0726695 \tabularnewline
F-TEST (value) & 4.08979 \tabularnewline
F-TEST (DF numerator) & 7 \tabularnewline
F-TEST (DF denominator) & 269 \tabularnewline
p-value & 0.000275893 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 38.1078 \tabularnewline
Sum Squared Residuals & 390642 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267065&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.310143[/C][/ROW]
[ROW][C]R-squared[/C][C]0.0961888[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.0726695[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]4.08979[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]7[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]269[/C][/ROW]
[ROW][C]p-value[/C][C]0.000275893[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]38.1078[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]390642[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267065&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267065&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 R0.310143
R-squared0.0961888
Adjusted R-squared0.0726695
F-TEST (value)4.08979
F-TEST (DF numerator)7
F-TEST (DF denominator)269
p-value0.000275893
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation38.1078
Sum Squared Residuals390642






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1149131.28717.7134
2139136.2452.75473
3148133.9914.0104
4158141.03216.9678
5128135.728-7.7275
6224134.88989.1108
7159133.98325.0174
8105134.781-29.7809
9159145.23813.762
10167146.16720.8327
11165134.79830.2016
12159141.34817.6525
13119131.416-12.416
14176136.86139.1393
1554135.897-81.8973
1691136.815-45.8155
17163132.64230.3575
18124135.091-11.0911
19137135.3931.60706
20121137.743-16.7435
21153139.22513.7753
22148137.60510.3955
23221135.52985.4714
24188132.17155.8286
25149136.10512.8952
26244131.833112.167
27148133.87314.1272
2892134.012-42.0117
29150136.90813.0918
30153131.94921.0509
3194123.342-29.3421
32156134.28221.7182
33132133.389-1.38866
34161129.52631.4742
35105131.261-26.2607
3697130.276-33.2765
37151127.31923.6806
38131133.773-2.77338
39166135.5130.49
40157125.32531.6753
41111129.658-18.6579
42145129.93515.0646
43162129.6332.3699
44163124.01338.9869
4559123.787-64.7869
46187132.02554.9751
47109130.774-21.7736
4890132.491-42.4914
49105129.373-24.3735
5083128.144-45.1439
51116128.946-12.9457
5242127.694-85.6943
53148128.1219.8799
54155134.56920.4312
55125134.765-9.76519
56116129.913-13.9128
57128122.585.41967
58138128.1949.80583
5949123.986-74.9859
6096128.7-32.6996
61164131.93632.0638
62162126.94435.0556
6399119.192-20.1917
64202126.25175.7495
65186126.97759.0233
6666124.423-58.423
67183129.88153.1191
68214129.44284.5579
69188123.89264.1083
70104122.491-18.4908
71177128.76448.2356
72126126.316-0.316403
7376126.708-50.7078
7499130.423-31.4234
75139114.48524.5152
76162121.99940.0014
77108121.862-13.8615
78159130.15228.8476
7974118.121-44.1214
80110125.465-15.4647
8196123.966-27.9658
82116123.222-7.22181
8387123.414-36.4142
8497125.005-28.0051
85127121.3475.65309
86106127.227-21.2271
8780127.251-47.2508
8874122.887-48.8874
8991123.86-32.8597
90133122.00210.9981
9174122.453-48.453
92114116.201-2.20086
93140130.5949.40623
9495116.186-21.1858
9598122.147-24.147
96121127.363-6.36286
97126125.3080.692157
9898122.862-24.8617
9995117.238-22.238
100110122.477-12.477
10170123.98-53.9797
102102125.103-23.1031
10386110.631-24.6312
104130124.9565.04397
10596119.812-23.8122
106102121.33-19.33
107100120.476-20.4764
10894118.326-24.3259
10952121.989-69.9893
11098121.156-23.1561
111118123.801-5.8006
11299120.349-21.3486
11348123.592-75.592
11450111.199-61.1994
115150118.46831.5324
116154121.5132.4898
117109120.454-11.454
11868122.093-54.0928
119194121.2972.7103
120158122.60535.3949
121159121.89337.1073
12267119.057-52.0572
123147117.81929.1813
12439123.264-84.2642
125100118.858-18.8576
126111120.55-9.55033
127138113.89424.1059
128101121.401-20.4009
129131124.3236.67667
130101119.472-18.4724
131114118.239-4.23932
132165119.79545.2052
133114114.358-0.357521
134111119.93-8.92989
13575113.024-38.0235
13682123.353-41.3534
137121116.8714.12896
13832119.033-87.0326
139150117.5232.4802
140117123.025-6.02511
14171107.101-36.1014
142165114.61850.3819
143154119.07334.9267
144126114.52711.473
145149117.01131.9892
146145115.07229.9282
147120125.196-5.1957
148109116.762-7.76226
149132115.62816.372
150172116.19155.8085
151169113.7155.29
152114117.266-3.2663
153156117.74738.2525
154172108.45763.5435
15568120.221-52.2208
15689120.167-31.1668
157167123.28843.7115
158113114.062-1.06245
159115120.365-5.3654
16078110.053-32.0529
161118112.9465.05378
16287115.213-28.2126
163173111.12861.8721
1642118.524-116.524
165162113.40648.5937
16649111.651-62.6507
167122110.76611.2338
16896113.17-17.1696
169100116.629-16.6287
17082114.728-32.7282
171100122.145-22.1452
172115111.0743.92627
173141111.08529.9149
174165114.42150.5787
175165113.87851.1224
176110109.7790.221179
177118112.0735.92677
178158100.50557.4955
179146110.20535.7948
18049104.227-55.2271
18190109.27-19.2701
182121104.04416.9562
183155109.66845.3324
184104110.793-6.79272
185147103.56843.4323
186110112.57-2.56987
187108111.583-3.58327
188113111.0571.94262
189115111.4513.54889
19061107.955-46.9548
19160107.259-47.2594
192109111.465-2.46451
19368112.03-44.0305
194111111.617-0.617302
19577103.702-26.7016
19673111.955-38.9551
197151104.97746.0229
19889106.583-17.5834
19978104.627-26.627
200110112.76-2.76029
201220115.135104.865
20265113.782-48.7819
203141107.77733.2228
204117103.83613.1642
205122102.65819.3422
20663103.463-40.4628
20744107.742-63.7423
20852104.03-52.0303
20913197.040533.9595
210101100.0870.912762
21142107.728-65.7278
212152107.70944.2913
213107105.841.15977
21477101.414-24.414
215154104.47649.5244
216103105.392-2.39238
21796101-4.99999
218175108.01866.9819
21957102.412-45.4119
220112104.7897.21129
221143103.89439.1058
22249107.183-58.183
223110106.7493.25058
22413199.652531.3475
225167103.1563.8505
22656100.252-44.2521
227137107.1929.8102
22886105.945-19.9447
229121107.10813.8923
230149102.65746.3432
231168105.13562.8653
232140102.8337.1696
23388106.068-18.0676
234168101.20266.7982
23594104.431-10.4313
23651105.696-54.6962
2374898.9893-50.9893
238145102.47442.526
23966100.728-34.7282
24085106.911-21.911
241109108.1160.883971
2426398.0482-35.0482
243102103.745-1.74501
24416298.141663.8584
2458699.6735-13.6735
24611499.466114.5339
247164101.00962.9914
24811997.219621.7804
249126103.14422.8558
250132103.20328.797
251142100.42641.5738
2528398.6146-15.6146
2539499.4698-5.46979
2548190.7777-9.77775
25516694.513371.4867
256110101.7268.27442
25764100.035-36.0353
25893100.824-7.8239
25910495.38098.61913
26010597.67587.32424
26149101.748-52.7477
2628895.8418-7.84179
2639597.6674-2.66735
264102101.9920.00778122
2659998.77740.222608
2666398.317-35.317
2677695.1624-19.1624
268109102.5766.42386
269117102.4614.5397
27057101.08-44.0801
27112096.30523.695
2727395.1131-22.1131
2739195.6463-4.64626
27410898.84489.15522
27510599.45725.54278
27611796.586220.4138
27711995.255423.7446

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 149 & 131.287 & 17.7134 \tabularnewline
2 & 139 & 136.245 & 2.75473 \tabularnewline
3 & 148 & 133.99 & 14.0104 \tabularnewline
4 & 158 & 141.032 & 16.9678 \tabularnewline
5 & 128 & 135.728 & -7.7275 \tabularnewline
6 & 224 & 134.889 & 89.1108 \tabularnewline
7 & 159 & 133.983 & 25.0174 \tabularnewline
8 & 105 & 134.781 & -29.7809 \tabularnewline
9 & 159 & 145.238 & 13.762 \tabularnewline
10 & 167 & 146.167 & 20.8327 \tabularnewline
11 & 165 & 134.798 & 30.2016 \tabularnewline
12 & 159 & 141.348 & 17.6525 \tabularnewline
13 & 119 & 131.416 & -12.416 \tabularnewline
14 & 176 & 136.861 & 39.1393 \tabularnewline
15 & 54 & 135.897 & -81.8973 \tabularnewline
16 & 91 & 136.815 & -45.8155 \tabularnewline
17 & 163 & 132.642 & 30.3575 \tabularnewline
18 & 124 & 135.091 & -11.0911 \tabularnewline
19 & 137 & 135.393 & 1.60706 \tabularnewline
20 & 121 & 137.743 & -16.7435 \tabularnewline
21 & 153 & 139.225 & 13.7753 \tabularnewline
22 & 148 & 137.605 & 10.3955 \tabularnewline
23 & 221 & 135.529 & 85.4714 \tabularnewline
24 & 188 & 132.171 & 55.8286 \tabularnewline
25 & 149 & 136.105 & 12.8952 \tabularnewline
26 & 244 & 131.833 & 112.167 \tabularnewline
27 & 148 & 133.873 & 14.1272 \tabularnewline
28 & 92 & 134.012 & -42.0117 \tabularnewline
29 & 150 & 136.908 & 13.0918 \tabularnewline
30 & 153 & 131.949 & 21.0509 \tabularnewline
31 & 94 & 123.342 & -29.3421 \tabularnewline
32 & 156 & 134.282 & 21.7182 \tabularnewline
33 & 132 & 133.389 & -1.38866 \tabularnewline
34 & 161 & 129.526 & 31.4742 \tabularnewline
35 & 105 & 131.261 & -26.2607 \tabularnewline
36 & 97 & 130.276 & -33.2765 \tabularnewline
37 & 151 & 127.319 & 23.6806 \tabularnewline
38 & 131 & 133.773 & -2.77338 \tabularnewline
39 & 166 & 135.51 & 30.49 \tabularnewline
40 & 157 & 125.325 & 31.6753 \tabularnewline
41 & 111 & 129.658 & -18.6579 \tabularnewline
42 & 145 & 129.935 & 15.0646 \tabularnewline
43 & 162 & 129.63 & 32.3699 \tabularnewline
44 & 163 & 124.013 & 38.9869 \tabularnewline
45 & 59 & 123.787 & -64.7869 \tabularnewline
46 & 187 & 132.025 & 54.9751 \tabularnewline
47 & 109 & 130.774 & -21.7736 \tabularnewline
48 & 90 & 132.491 & -42.4914 \tabularnewline
49 & 105 & 129.373 & -24.3735 \tabularnewline
50 & 83 & 128.144 & -45.1439 \tabularnewline
51 & 116 & 128.946 & -12.9457 \tabularnewline
52 & 42 & 127.694 & -85.6943 \tabularnewline
53 & 148 & 128.12 & 19.8799 \tabularnewline
54 & 155 & 134.569 & 20.4312 \tabularnewline
55 & 125 & 134.765 & -9.76519 \tabularnewline
56 & 116 & 129.913 & -13.9128 \tabularnewline
57 & 128 & 122.58 & 5.41967 \tabularnewline
58 & 138 & 128.194 & 9.80583 \tabularnewline
59 & 49 & 123.986 & -74.9859 \tabularnewline
60 & 96 & 128.7 & -32.6996 \tabularnewline
61 & 164 & 131.936 & 32.0638 \tabularnewline
62 & 162 & 126.944 & 35.0556 \tabularnewline
63 & 99 & 119.192 & -20.1917 \tabularnewline
64 & 202 & 126.251 & 75.7495 \tabularnewline
65 & 186 & 126.977 & 59.0233 \tabularnewline
66 & 66 & 124.423 & -58.423 \tabularnewline
67 & 183 & 129.881 & 53.1191 \tabularnewline
68 & 214 & 129.442 & 84.5579 \tabularnewline
69 & 188 & 123.892 & 64.1083 \tabularnewline
70 & 104 & 122.491 & -18.4908 \tabularnewline
71 & 177 & 128.764 & 48.2356 \tabularnewline
72 & 126 & 126.316 & -0.316403 \tabularnewline
73 & 76 & 126.708 & -50.7078 \tabularnewline
74 & 99 & 130.423 & -31.4234 \tabularnewline
75 & 139 & 114.485 & 24.5152 \tabularnewline
76 & 162 & 121.999 & 40.0014 \tabularnewline
77 & 108 & 121.862 & -13.8615 \tabularnewline
78 & 159 & 130.152 & 28.8476 \tabularnewline
79 & 74 & 118.121 & -44.1214 \tabularnewline
80 & 110 & 125.465 & -15.4647 \tabularnewline
81 & 96 & 123.966 & -27.9658 \tabularnewline
82 & 116 & 123.222 & -7.22181 \tabularnewline
83 & 87 & 123.414 & -36.4142 \tabularnewline
84 & 97 & 125.005 & -28.0051 \tabularnewline
85 & 127 & 121.347 & 5.65309 \tabularnewline
86 & 106 & 127.227 & -21.2271 \tabularnewline
87 & 80 & 127.251 & -47.2508 \tabularnewline
88 & 74 & 122.887 & -48.8874 \tabularnewline
89 & 91 & 123.86 & -32.8597 \tabularnewline
90 & 133 & 122.002 & 10.9981 \tabularnewline
91 & 74 & 122.453 & -48.453 \tabularnewline
92 & 114 & 116.201 & -2.20086 \tabularnewline
93 & 140 & 130.594 & 9.40623 \tabularnewline
94 & 95 & 116.186 & -21.1858 \tabularnewline
95 & 98 & 122.147 & -24.147 \tabularnewline
96 & 121 & 127.363 & -6.36286 \tabularnewline
97 & 126 & 125.308 & 0.692157 \tabularnewline
98 & 98 & 122.862 & -24.8617 \tabularnewline
99 & 95 & 117.238 & -22.238 \tabularnewline
100 & 110 & 122.477 & -12.477 \tabularnewline
101 & 70 & 123.98 & -53.9797 \tabularnewline
102 & 102 & 125.103 & -23.1031 \tabularnewline
103 & 86 & 110.631 & -24.6312 \tabularnewline
104 & 130 & 124.956 & 5.04397 \tabularnewline
105 & 96 & 119.812 & -23.8122 \tabularnewline
106 & 102 & 121.33 & -19.33 \tabularnewline
107 & 100 & 120.476 & -20.4764 \tabularnewline
108 & 94 & 118.326 & -24.3259 \tabularnewline
109 & 52 & 121.989 & -69.9893 \tabularnewline
110 & 98 & 121.156 & -23.1561 \tabularnewline
111 & 118 & 123.801 & -5.8006 \tabularnewline
112 & 99 & 120.349 & -21.3486 \tabularnewline
113 & 48 & 123.592 & -75.592 \tabularnewline
114 & 50 & 111.199 & -61.1994 \tabularnewline
115 & 150 & 118.468 & 31.5324 \tabularnewline
116 & 154 & 121.51 & 32.4898 \tabularnewline
117 & 109 & 120.454 & -11.454 \tabularnewline
118 & 68 & 122.093 & -54.0928 \tabularnewline
119 & 194 & 121.29 & 72.7103 \tabularnewline
120 & 158 & 122.605 & 35.3949 \tabularnewline
121 & 159 & 121.893 & 37.1073 \tabularnewline
122 & 67 & 119.057 & -52.0572 \tabularnewline
123 & 147 & 117.819 & 29.1813 \tabularnewline
124 & 39 & 123.264 & -84.2642 \tabularnewline
125 & 100 & 118.858 & -18.8576 \tabularnewline
126 & 111 & 120.55 & -9.55033 \tabularnewline
127 & 138 & 113.894 & 24.1059 \tabularnewline
128 & 101 & 121.401 & -20.4009 \tabularnewline
129 & 131 & 124.323 & 6.67667 \tabularnewline
130 & 101 & 119.472 & -18.4724 \tabularnewline
131 & 114 & 118.239 & -4.23932 \tabularnewline
132 & 165 & 119.795 & 45.2052 \tabularnewline
133 & 114 & 114.358 & -0.357521 \tabularnewline
134 & 111 & 119.93 & -8.92989 \tabularnewline
135 & 75 & 113.024 & -38.0235 \tabularnewline
136 & 82 & 123.353 & -41.3534 \tabularnewline
137 & 121 & 116.871 & 4.12896 \tabularnewline
138 & 32 & 119.033 & -87.0326 \tabularnewline
139 & 150 & 117.52 & 32.4802 \tabularnewline
140 & 117 & 123.025 & -6.02511 \tabularnewline
141 & 71 & 107.101 & -36.1014 \tabularnewline
142 & 165 & 114.618 & 50.3819 \tabularnewline
143 & 154 & 119.073 & 34.9267 \tabularnewline
144 & 126 & 114.527 & 11.473 \tabularnewline
145 & 149 & 117.011 & 31.9892 \tabularnewline
146 & 145 & 115.072 & 29.9282 \tabularnewline
147 & 120 & 125.196 & -5.1957 \tabularnewline
148 & 109 & 116.762 & -7.76226 \tabularnewline
149 & 132 & 115.628 & 16.372 \tabularnewline
150 & 172 & 116.191 & 55.8085 \tabularnewline
151 & 169 & 113.71 & 55.29 \tabularnewline
152 & 114 & 117.266 & -3.2663 \tabularnewline
153 & 156 & 117.747 & 38.2525 \tabularnewline
154 & 172 & 108.457 & 63.5435 \tabularnewline
155 & 68 & 120.221 & -52.2208 \tabularnewline
156 & 89 & 120.167 & -31.1668 \tabularnewline
157 & 167 & 123.288 & 43.7115 \tabularnewline
158 & 113 & 114.062 & -1.06245 \tabularnewline
159 & 115 & 120.365 & -5.3654 \tabularnewline
160 & 78 & 110.053 & -32.0529 \tabularnewline
161 & 118 & 112.946 & 5.05378 \tabularnewline
162 & 87 & 115.213 & -28.2126 \tabularnewline
163 & 173 & 111.128 & 61.8721 \tabularnewline
164 & 2 & 118.524 & -116.524 \tabularnewline
165 & 162 & 113.406 & 48.5937 \tabularnewline
166 & 49 & 111.651 & -62.6507 \tabularnewline
167 & 122 & 110.766 & 11.2338 \tabularnewline
168 & 96 & 113.17 & -17.1696 \tabularnewline
169 & 100 & 116.629 & -16.6287 \tabularnewline
170 & 82 & 114.728 & -32.7282 \tabularnewline
171 & 100 & 122.145 & -22.1452 \tabularnewline
172 & 115 & 111.074 & 3.92627 \tabularnewline
173 & 141 & 111.085 & 29.9149 \tabularnewline
174 & 165 & 114.421 & 50.5787 \tabularnewline
175 & 165 & 113.878 & 51.1224 \tabularnewline
176 & 110 & 109.779 & 0.221179 \tabularnewline
177 & 118 & 112.073 & 5.92677 \tabularnewline
178 & 158 & 100.505 & 57.4955 \tabularnewline
179 & 146 & 110.205 & 35.7948 \tabularnewline
180 & 49 & 104.227 & -55.2271 \tabularnewline
181 & 90 & 109.27 & -19.2701 \tabularnewline
182 & 121 & 104.044 & 16.9562 \tabularnewline
183 & 155 & 109.668 & 45.3324 \tabularnewline
184 & 104 & 110.793 & -6.79272 \tabularnewline
185 & 147 & 103.568 & 43.4323 \tabularnewline
186 & 110 & 112.57 & -2.56987 \tabularnewline
187 & 108 & 111.583 & -3.58327 \tabularnewline
188 & 113 & 111.057 & 1.94262 \tabularnewline
189 & 115 & 111.451 & 3.54889 \tabularnewline
190 & 61 & 107.955 & -46.9548 \tabularnewline
191 & 60 & 107.259 & -47.2594 \tabularnewline
192 & 109 & 111.465 & -2.46451 \tabularnewline
193 & 68 & 112.03 & -44.0305 \tabularnewline
194 & 111 & 111.617 & -0.617302 \tabularnewline
195 & 77 & 103.702 & -26.7016 \tabularnewline
196 & 73 & 111.955 & -38.9551 \tabularnewline
197 & 151 & 104.977 & 46.0229 \tabularnewline
198 & 89 & 106.583 & -17.5834 \tabularnewline
199 & 78 & 104.627 & -26.627 \tabularnewline
200 & 110 & 112.76 & -2.76029 \tabularnewline
201 & 220 & 115.135 & 104.865 \tabularnewline
202 & 65 & 113.782 & -48.7819 \tabularnewline
203 & 141 & 107.777 & 33.2228 \tabularnewline
204 & 117 & 103.836 & 13.1642 \tabularnewline
205 & 122 & 102.658 & 19.3422 \tabularnewline
206 & 63 & 103.463 & -40.4628 \tabularnewline
207 & 44 & 107.742 & -63.7423 \tabularnewline
208 & 52 & 104.03 & -52.0303 \tabularnewline
209 & 131 & 97.0405 & 33.9595 \tabularnewline
210 & 101 & 100.087 & 0.912762 \tabularnewline
211 & 42 & 107.728 & -65.7278 \tabularnewline
212 & 152 & 107.709 & 44.2913 \tabularnewline
213 & 107 & 105.84 & 1.15977 \tabularnewline
214 & 77 & 101.414 & -24.414 \tabularnewline
215 & 154 & 104.476 & 49.5244 \tabularnewline
216 & 103 & 105.392 & -2.39238 \tabularnewline
217 & 96 & 101 & -4.99999 \tabularnewline
218 & 175 & 108.018 & 66.9819 \tabularnewline
219 & 57 & 102.412 & -45.4119 \tabularnewline
220 & 112 & 104.789 & 7.21129 \tabularnewline
221 & 143 & 103.894 & 39.1058 \tabularnewline
222 & 49 & 107.183 & -58.183 \tabularnewline
223 & 110 & 106.749 & 3.25058 \tabularnewline
224 & 131 & 99.6525 & 31.3475 \tabularnewline
225 & 167 & 103.15 & 63.8505 \tabularnewline
226 & 56 & 100.252 & -44.2521 \tabularnewline
227 & 137 & 107.19 & 29.8102 \tabularnewline
228 & 86 & 105.945 & -19.9447 \tabularnewline
229 & 121 & 107.108 & 13.8923 \tabularnewline
230 & 149 & 102.657 & 46.3432 \tabularnewline
231 & 168 & 105.135 & 62.8653 \tabularnewline
232 & 140 & 102.83 & 37.1696 \tabularnewline
233 & 88 & 106.068 & -18.0676 \tabularnewline
234 & 168 & 101.202 & 66.7982 \tabularnewline
235 & 94 & 104.431 & -10.4313 \tabularnewline
236 & 51 & 105.696 & -54.6962 \tabularnewline
237 & 48 & 98.9893 & -50.9893 \tabularnewline
238 & 145 & 102.474 & 42.526 \tabularnewline
239 & 66 & 100.728 & -34.7282 \tabularnewline
240 & 85 & 106.911 & -21.911 \tabularnewline
241 & 109 & 108.116 & 0.883971 \tabularnewline
242 & 63 & 98.0482 & -35.0482 \tabularnewline
243 & 102 & 103.745 & -1.74501 \tabularnewline
244 & 162 & 98.1416 & 63.8584 \tabularnewline
245 & 86 & 99.6735 & -13.6735 \tabularnewline
246 & 114 & 99.4661 & 14.5339 \tabularnewline
247 & 164 & 101.009 & 62.9914 \tabularnewline
248 & 119 & 97.2196 & 21.7804 \tabularnewline
249 & 126 & 103.144 & 22.8558 \tabularnewline
250 & 132 & 103.203 & 28.797 \tabularnewline
251 & 142 & 100.426 & 41.5738 \tabularnewline
252 & 83 & 98.6146 & -15.6146 \tabularnewline
253 & 94 & 99.4698 & -5.46979 \tabularnewline
254 & 81 & 90.7777 & -9.77775 \tabularnewline
255 & 166 & 94.5133 & 71.4867 \tabularnewline
256 & 110 & 101.726 & 8.27442 \tabularnewline
257 & 64 & 100.035 & -36.0353 \tabularnewline
258 & 93 & 100.824 & -7.8239 \tabularnewline
259 & 104 & 95.3809 & 8.61913 \tabularnewline
260 & 105 & 97.6758 & 7.32424 \tabularnewline
261 & 49 & 101.748 & -52.7477 \tabularnewline
262 & 88 & 95.8418 & -7.84179 \tabularnewline
263 & 95 & 97.6674 & -2.66735 \tabularnewline
264 & 102 & 101.992 & 0.00778122 \tabularnewline
265 & 99 & 98.7774 & 0.222608 \tabularnewline
266 & 63 & 98.317 & -35.317 \tabularnewline
267 & 76 & 95.1624 & -19.1624 \tabularnewline
268 & 109 & 102.576 & 6.42386 \tabularnewline
269 & 117 & 102.46 & 14.5397 \tabularnewline
270 & 57 & 101.08 & -44.0801 \tabularnewline
271 & 120 & 96.305 & 23.695 \tabularnewline
272 & 73 & 95.1131 & -22.1131 \tabularnewline
273 & 91 & 95.6463 & -4.64626 \tabularnewline
274 & 108 & 98.8448 & 9.15522 \tabularnewline
275 & 105 & 99.4572 & 5.54278 \tabularnewline
276 & 117 & 96.5862 & 20.4138 \tabularnewline
277 & 119 & 95.2554 & 23.7446 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267065&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]149[/C][C]131.287[/C][C]17.7134[/C][/ROW]
[ROW][C]2[/C][C]139[/C][C]136.245[/C][C]2.75473[/C][/ROW]
[ROW][C]3[/C][C]148[/C][C]133.99[/C][C]14.0104[/C][/ROW]
[ROW][C]4[/C][C]158[/C][C]141.032[/C][C]16.9678[/C][/ROW]
[ROW][C]5[/C][C]128[/C][C]135.728[/C][C]-7.7275[/C][/ROW]
[ROW][C]6[/C][C]224[/C][C]134.889[/C][C]89.1108[/C][/ROW]
[ROW][C]7[/C][C]159[/C][C]133.983[/C][C]25.0174[/C][/ROW]
[ROW][C]8[/C][C]105[/C][C]134.781[/C][C]-29.7809[/C][/ROW]
[ROW][C]9[/C][C]159[/C][C]145.238[/C][C]13.762[/C][/ROW]
[ROW][C]10[/C][C]167[/C][C]146.167[/C][C]20.8327[/C][/ROW]
[ROW][C]11[/C][C]165[/C][C]134.798[/C][C]30.2016[/C][/ROW]
[ROW][C]12[/C][C]159[/C][C]141.348[/C][C]17.6525[/C][/ROW]
[ROW][C]13[/C][C]119[/C][C]131.416[/C][C]-12.416[/C][/ROW]
[ROW][C]14[/C][C]176[/C][C]136.861[/C][C]39.1393[/C][/ROW]
[ROW][C]15[/C][C]54[/C][C]135.897[/C][C]-81.8973[/C][/ROW]
[ROW][C]16[/C][C]91[/C][C]136.815[/C][C]-45.8155[/C][/ROW]
[ROW][C]17[/C][C]163[/C][C]132.642[/C][C]30.3575[/C][/ROW]
[ROW][C]18[/C][C]124[/C][C]135.091[/C][C]-11.0911[/C][/ROW]
[ROW][C]19[/C][C]137[/C][C]135.393[/C][C]1.60706[/C][/ROW]
[ROW][C]20[/C][C]121[/C][C]137.743[/C][C]-16.7435[/C][/ROW]
[ROW][C]21[/C][C]153[/C][C]139.225[/C][C]13.7753[/C][/ROW]
[ROW][C]22[/C][C]148[/C][C]137.605[/C][C]10.3955[/C][/ROW]
[ROW][C]23[/C][C]221[/C][C]135.529[/C][C]85.4714[/C][/ROW]
[ROW][C]24[/C][C]188[/C][C]132.171[/C][C]55.8286[/C][/ROW]
[ROW][C]25[/C][C]149[/C][C]136.105[/C][C]12.8952[/C][/ROW]
[ROW][C]26[/C][C]244[/C][C]131.833[/C][C]112.167[/C][/ROW]
[ROW][C]27[/C][C]148[/C][C]133.873[/C][C]14.1272[/C][/ROW]
[ROW][C]28[/C][C]92[/C][C]134.012[/C][C]-42.0117[/C][/ROW]
[ROW][C]29[/C][C]150[/C][C]136.908[/C][C]13.0918[/C][/ROW]
[ROW][C]30[/C][C]153[/C][C]131.949[/C][C]21.0509[/C][/ROW]
[ROW][C]31[/C][C]94[/C][C]123.342[/C][C]-29.3421[/C][/ROW]
[ROW][C]32[/C][C]156[/C][C]134.282[/C][C]21.7182[/C][/ROW]
[ROW][C]33[/C][C]132[/C][C]133.389[/C][C]-1.38866[/C][/ROW]
[ROW][C]34[/C][C]161[/C][C]129.526[/C][C]31.4742[/C][/ROW]
[ROW][C]35[/C][C]105[/C][C]131.261[/C][C]-26.2607[/C][/ROW]
[ROW][C]36[/C][C]97[/C][C]130.276[/C][C]-33.2765[/C][/ROW]
[ROW][C]37[/C][C]151[/C][C]127.319[/C][C]23.6806[/C][/ROW]
[ROW][C]38[/C][C]131[/C][C]133.773[/C][C]-2.77338[/C][/ROW]
[ROW][C]39[/C][C]166[/C][C]135.51[/C][C]30.49[/C][/ROW]
[ROW][C]40[/C][C]157[/C][C]125.325[/C][C]31.6753[/C][/ROW]
[ROW][C]41[/C][C]111[/C][C]129.658[/C][C]-18.6579[/C][/ROW]
[ROW][C]42[/C][C]145[/C][C]129.935[/C][C]15.0646[/C][/ROW]
[ROW][C]43[/C][C]162[/C][C]129.63[/C][C]32.3699[/C][/ROW]
[ROW][C]44[/C][C]163[/C][C]124.013[/C][C]38.9869[/C][/ROW]
[ROW][C]45[/C][C]59[/C][C]123.787[/C][C]-64.7869[/C][/ROW]
[ROW][C]46[/C][C]187[/C][C]132.025[/C][C]54.9751[/C][/ROW]
[ROW][C]47[/C][C]109[/C][C]130.774[/C][C]-21.7736[/C][/ROW]
[ROW][C]48[/C][C]90[/C][C]132.491[/C][C]-42.4914[/C][/ROW]
[ROW][C]49[/C][C]105[/C][C]129.373[/C][C]-24.3735[/C][/ROW]
[ROW][C]50[/C][C]83[/C][C]128.144[/C][C]-45.1439[/C][/ROW]
[ROW][C]51[/C][C]116[/C][C]128.946[/C][C]-12.9457[/C][/ROW]
[ROW][C]52[/C][C]42[/C][C]127.694[/C][C]-85.6943[/C][/ROW]
[ROW][C]53[/C][C]148[/C][C]128.12[/C][C]19.8799[/C][/ROW]
[ROW][C]54[/C][C]155[/C][C]134.569[/C][C]20.4312[/C][/ROW]
[ROW][C]55[/C][C]125[/C][C]134.765[/C][C]-9.76519[/C][/ROW]
[ROW][C]56[/C][C]116[/C][C]129.913[/C][C]-13.9128[/C][/ROW]
[ROW][C]57[/C][C]128[/C][C]122.58[/C][C]5.41967[/C][/ROW]
[ROW][C]58[/C][C]138[/C][C]128.194[/C][C]9.80583[/C][/ROW]
[ROW][C]59[/C][C]49[/C][C]123.986[/C][C]-74.9859[/C][/ROW]
[ROW][C]60[/C][C]96[/C][C]128.7[/C][C]-32.6996[/C][/ROW]
[ROW][C]61[/C][C]164[/C][C]131.936[/C][C]32.0638[/C][/ROW]
[ROW][C]62[/C][C]162[/C][C]126.944[/C][C]35.0556[/C][/ROW]
[ROW][C]63[/C][C]99[/C][C]119.192[/C][C]-20.1917[/C][/ROW]
[ROW][C]64[/C][C]202[/C][C]126.251[/C][C]75.7495[/C][/ROW]
[ROW][C]65[/C][C]186[/C][C]126.977[/C][C]59.0233[/C][/ROW]
[ROW][C]66[/C][C]66[/C][C]124.423[/C][C]-58.423[/C][/ROW]
[ROW][C]67[/C][C]183[/C][C]129.881[/C][C]53.1191[/C][/ROW]
[ROW][C]68[/C][C]214[/C][C]129.442[/C][C]84.5579[/C][/ROW]
[ROW][C]69[/C][C]188[/C][C]123.892[/C][C]64.1083[/C][/ROW]
[ROW][C]70[/C][C]104[/C][C]122.491[/C][C]-18.4908[/C][/ROW]
[ROW][C]71[/C][C]177[/C][C]128.764[/C][C]48.2356[/C][/ROW]
[ROW][C]72[/C][C]126[/C][C]126.316[/C][C]-0.316403[/C][/ROW]
[ROW][C]73[/C][C]76[/C][C]126.708[/C][C]-50.7078[/C][/ROW]
[ROW][C]74[/C][C]99[/C][C]130.423[/C][C]-31.4234[/C][/ROW]
[ROW][C]75[/C][C]139[/C][C]114.485[/C][C]24.5152[/C][/ROW]
[ROW][C]76[/C][C]162[/C][C]121.999[/C][C]40.0014[/C][/ROW]
[ROW][C]77[/C][C]108[/C][C]121.862[/C][C]-13.8615[/C][/ROW]
[ROW][C]78[/C][C]159[/C][C]130.152[/C][C]28.8476[/C][/ROW]
[ROW][C]79[/C][C]74[/C][C]118.121[/C][C]-44.1214[/C][/ROW]
[ROW][C]80[/C][C]110[/C][C]125.465[/C][C]-15.4647[/C][/ROW]
[ROW][C]81[/C][C]96[/C][C]123.966[/C][C]-27.9658[/C][/ROW]
[ROW][C]82[/C][C]116[/C][C]123.222[/C][C]-7.22181[/C][/ROW]
[ROW][C]83[/C][C]87[/C][C]123.414[/C][C]-36.4142[/C][/ROW]
[ROW][C]84[/C][C]97[/C][C]125.005[/C][C]-28.0051[/C][/ROW]
[ROW][C]85[/C][C]127[/C][C]121.347[/C][C]5.65309[/C][/ROW]
[ROW][C]86[/C][C]106[/C][C]127.227[/C][C]-21.2271[/C][/ROW]
[ROW][C]87[/C][C]80[/C][C]127.251[/C][C]-47.2508[/C][/ROW]
[ROW][C]88[/C][C]74[/C][C]122.887[/C][C]-48.8874[/C][/ROW]
[ROW][C]89[/C][C]91[/C][C]123.86[/C][C]-32.8597[/C][/ROW]
[ROW][C]90[/C][C]133[/C][C]122.002[/C][C]10.9981[/C][/ROW]
[ROW][C]91[/C][C]74[/C][C]122.453[/C][C]-48.453[/C][/ROW]
[ROW][C]92[/C][C]114[/C][C]116.201[/C][C]-2.20086[/C][/ROW]
[ROW][C]93[/C][C]140[/C][C]130.594[/C][C]9.40623[/C][/ROW]
[ROW][C]94[/C][C]95[/C][C]116.186[/C][C]-21.1858[/C][/ROW]
[ROW][C]95[/C][C]98[/C][C]122.147[/C][C]-24.147[/C][/ROW]
[ROW][C]96[/C][C]121[/C][C]127.363[/C][C]-6.36286[/C][/ROW]
[ROW][C]97[/C][C]126[/C][C]125.308[/C][C]0.692157[/C][/ROW]
[ROW][C]98[/C][C]98[/C][C]122.862[/C][C]-24.8617[/C][/ROW]
[ROW][C]99[/C][C]95[/C][C]117.238[/C][C]-22.238[/C][/ROW]
[ROW][C]100[/C][C]110[/C][C]122.477[/C][C]-12.477[/C][/ROW]
[ROW][C]101[/C][C]70[/C][C]123.98[/C][C]-53.9797[/C][/ROW]
[ROW][C]102[/C][C]102[/C][C]125.103[/C][C]-23.1031[/C][/ROW]
[ROW][C]103[/C][C]86[/C][C]110.631[/C][C]-24.6312[/C][/ROW]
[ROW][C]104[/C][C]130[/C][C]124.956[/C][C]5.04397[/C][/ROW]
[ROW][C]105[/C][C]96[/C][C]119.812[/C][C]-23.8122[/C][/ROW]
[ROW][C]106[/C][C]102[/C][C]121.33[/C][C]-19.33[/C][/ROW]
[ROW][C]107[/C][C]100[/C][C]120.476[/C][C]-20.4764[/C][/ROW]
[ROW][C]108[/C][C]94[/C][C]118.326[/C][C]-24.3259[/C][/ROW]
[ROW][C]109[/C][C]52[/C][C]121.989[/C][C]-69.9893[/C][/ROW]
[ROW][C]110[/C][C]98[/C][C]121.156[/C][C]-23.1561[/C][/ROW]
[ROW][C]111[/C][C]118[/C][C]123.801[/C][C]-5.8006[/C][/ROW]
[ROW][C]112[/C][C]99[/C][C]120.349[/C][C]-21.3486[/C][/ROW]
[ROW][C]113[/C][C]48[/C][C]123.592[/C][C]-75.592[/C][/ROW]
[ROW][C]114[/C][C]50[/C][C]111.199[/C][C]-61.1994[/C][/ROW]
[ROW][C]115[/C][C]150[/C][C]118.468[/C][C]31.5324[/C][/ROW]
[ROW][C]116[/C][C]154[/C][C]121.51[/C][C]32.4898[/C][/ROW]
[ROW][C]117[/C][C]109[/C][C]120.454[/C][C]-11.454[/C][/ROW]
[ROW][C]118[/C][C]68[/C][C]122.093[/C][C]-54.0928[/C][/ROW]
[ROW][C]119[/C][C]194[/C][C]121.29[/C][C]72.7103[/C][/ROW]
[ROW][C]120[/C][C]158[/C][C]122.605[/C][C]35.3949[/C][/ROW]
[ROW][C]121[/C][C]159[/C][C]121.893[/C][C]37.1073[/C][/ROW]
[ROW][C]122[/C][C]67[/C][C]119.057[/C][C]-52.0572[/C][/ROW]
[ROW][C]123[/C][C]147[/C][C]117.819[/C][C]29.1813[/C][/ROW]
[ROW][C]124[/C][C]39[/C][C]123.264[/C][C]-84.2642[/C][/ROW]
[ROW][C]125[/C][C]100[/C][C]118.858[/C][C]-18.8576[/C][/ROW]
[ROW][C]126[/C][C]111[/C][C]120.55[/C][C]-9.55033[/C][/ROW]
[ROW][C]127[/C][C]138[/C][C]113.894[/C][C]24.1059[/C][/ROW]
[ROW][C]128[/C][C]101[/C][C]121.401[/C][C]-20.4009[/C][/ROW]
[ROW][C]129[/C][C]131[/C][C]124.323[/C][C]6.67667[/C][/ROW]
[ROW][C]130[/C][C]101[/C][C]119.472[/C][C]-18.4724[/C][/ROW]
[ROW][C]131[/C][C]114[/C][C]118.239[/C][C]-4.23932[/C][/ROW]
[ROW][C]132[/C][C]165[/C][C]119.795[/C][C]45.2052[/C][/ROW]
[ROW][C]133[/C][C]114[/C][C]114.358[/C][C]-0.357521[/C][/ROW]
[ROW][C]134[/C][C]111[/C][C]119.93[/C][C]-8.92989[/C][/ROW]
[ROW][C]135[/C][C]75[/C][C]113.024[/C][C]-38.0235[/C][/ROW]
[ROW][C]136[/C][C]82[/C][C]123.353[/C][C]-41.3534[/C][/ROW]
[ROW][C]137[/C][C]121[/C][C]116.871[/C][C]4.12896[/C][/ROW]
[ROW][C]138[/C][C]32[/C][C]119.033[/C][C]-87.0326[/C][/ROW]
[ROW][C]139[/C][C]150[/C][C]117.52[/C][C]32.4802[/C][/ROW]
[ROW][C]140[/C][C]117[/C][C]123.025[/C][C]-6.02511[/C][/ROW]
[ROW][C]141[/C][C]71[/C][C]107.101[/C][C]-36.1014[/C][/ROW]
[ROW][C]142[/C][C]165[/C][C]114.618[/C][C]50.3819[/C][/ROW]
[ROW][C]143[/C][C]154[/C][C]119.073[/C][C]34.9267[/C][/ROW]
[ROW][C]144[/C][C]126[/C][C]114.527[/C][C]11.473[/C][/ROW]
[ROW][C]145[/C][C]149[/C][C]117.011[/C][C]31.9892[/C][/ROW]
[ROW][C]146[/C][C]145[/C][C]115.072[/C][C]29.9282[/C][/ROW]
[ROW][C]147[/C][C]120[/C][C]125.196[/C][C]-5.1957[/C][/ROW]
[ROW][C]148[/C][C]109[/C][C]116.762[/C][C]-7.76226[/C][/ROW]
[ROW][C]149[/C][C]132[/C][C]115.628[/C][C]16.372[/C][/ROW]
[ROW][C]150[/C][C]172[/C][C]116.191[/C][C]55.8085[/C][/ROW]
[ROW][C]151[/C][C]169[/C][C]113.71[/C][C]55.29[/C][/ROW]
[ROW][C]152[/C][C]114[/C][C]117.266[/C][C]-3.2663[/C][/ROW]
[ROW][C]153[/C][C]156[/C][C]117.747[/C][C]38.2525[/C][/ROW]
[ROW][C]154[/C][C]172[/C][C]108.457[/C][C]63.5435[/C][/ROW]
[ROW][C]155[/C][C]68[/C][C]120.221[/C][C]-52.2208[/C][/ROW]
[ROW][C]156[/C][C]89[/C][C]120.167[/C][C]-31.1668[/C][/ROW]
[ROW][C]157[/C][C]167[/C][C]123.288[/C][C]43.7115[/C][/ROW]
[ROW][C]158[/C][C]113[/C][C]114.062[/C][C]-1.06245[/C][/ROW]
[ROW][C]159[/C][C]115[/C][C]120.365[/C][C]-5.3654[/C][/ROW]
[ROW][C]160[/C][C]78[/C][C]110.053[/C][C]-32.0529[/C][/ROW]
[ROW][C]161[/C][C]118[/C][C]112.946[/C][C]5.05378[/C][/ROW]
[ROW][C]162[/C][C]87[/C][C]115.213[/C][C]-28.2126[/C][/ROW]
[ROW][C]163[/C][C]173[/C][C]111.128[/C][C]61.8721[/C][/ROW]
[ROW][C]164[/C][C]2[/C][C]118.524[/C][C]-116.524[/C][/ROW]
[ROW][C]165[/C][C]162[/C][C]113.406[/C][C]48.5937[/C][/ROW]
[ROW][C]166[/C][C]49[/C][C]111.651[/C][C]-62.6507[/C][/ROW]
[ROW][C]167[/C][C]122[/C][C]110.766[/C][C]11.2338[/C][/ROW]
[ROW][C]168[/C][C]96[/C][C]113.17[/C][C]-17.1696[/C][/ROW]
[ROW][C]169[/C][C]100[/C][C]116.629[/C][C]-16.6287[/C][/ROW]
[ROW][C]170[/C][C]82[/C][C]114.728[/C][C]-32.7282[/C][/ROW]
[ROW][C]171[/C][C]100[/C][C]122.145[/C][C]-22.1452[/C][/ROW]
[ROW][C]172[/C][C]115[/C][C]111.074[/C][C]3.92627[/C][/ROW]
[ROW][C]173[/C][C]141[/C][C]111.085[/C][C]29.9149[/C][/ROW]
[ROW][C]174[/C][C]165[/C][C]114.421[/C][C]50.5787[/C][/ROW]
[ROW][C]175[/C][C]165[/C][C]113.878[/C][C]51.1224[/C][/ROW]
[ROW][C]176[/C][C]110[/C][C]109.779[/C][C]0.221179[/C][/ROW]
[ROW][C]177[/C][C]118[/C][C]112.073[/C][C]5.92677[/C][/ROW]
[ROW][C]178[/C][C]158[/C][C]100.505[/C][C]57.4955[/C][/ROW]
[ROW][C]179[/C][C]146[/C][C]110.205[/C][C]35.7948[/C][/ROW]
[ROW][C]180[/C][C]49[/C][C]104.227[/C][C]-55.2271[/C][/ROW]
[ROW][C]181[/C][C]90[/C][C]109.27[/C][C]-19.2701[/C][/ROW]
[ROW][C]182[/C][C]121[/C][C]104.044[/C][C]16.9562[/C][/ROW]
[ROW][C]183[/C][C]155[/C][C]109.668[/C][C]45.3324[/C][/ROW]
[ROW][C]184[/C][C]104[/C][C]110.793[/C][C]-6.79272[/C][/ROW]
[ROW][C]185[/C][C]147[/C][C]103.568[/C][C]43.4323[/C][/ROW]
[ROW][C]186[/C][C]110[/C][C]112.57[/C][C]-2.56987[/C][/ROW]
[ROW][C]187[/C][C]108[/C][C]111.583[/C][C]-3.58327[/C][/ROW]
[ROW][C]188[/C][C]113[/C][C]111.057[/C][C]1.94262[/C][/ROW]
[ROW][C]189[/C][C]115[/C][C]111.451[/C][C]3.54889[/C][/ROW]
[ROW][C]190[/C][C]61[/C][C]107.955[/C][C]-46.9548[/C][/ROW]
[ROW][C]191[/C][C]60[/C][C]107.259[/C][C]-47.2594[/C][/ROW]
[ROW][C]192[/C][C]109[/C][C]111.465[/C][C]-2.46451[/C][/ROW]
[ROW][C]193[/C][C]68[/C][C]112.03[/C][C]-44.0305[/C][/ROW]
[ROW][C]194[/C][C]111[/C][C]111.617[/C][C]-0.617302[/C][/ROW]
[ROW][C]195[/C][C]77[/C][C]103.702[/C][C]-26.7016[/C][/ROW]
[ROW][C]196[/C][C]73[/C][C]111.955[/C][C]-38.9551[/C][/ROW]
[ROW][C]197[/C][C]151[/C][C]104.977[/C][C]46.0229[/C][/ROW]
[ROW][C]198[/C][C]89[/C][C]106.583[/C][C]-17.5834[/C][/ROW]
[ROW][C]199[/C][C]78[/C][C]104.627[/C][C]-26.627[/C][/ROW]
[ROW][C]200[/C][C]110[/C][C]112.76[/C][C]-2.76029[/C][/ROW]
[ROW][C]201[/C][C]220[/C][C]115.135[/C][C]104.865[/C][/ROW]
[ROW][C]202[/C][C]65[/C][C]113.782[/C][C]-48.7819[/C][/ROW]
[ROW][C]203[/C][C]141[/C][C]107.777[/C][C]33.2228[/C][/ROW]
[ROW][C]204[/C][C]117[/C][C]103.836[/C][C]13.1642[/C][/ROW]
[ROW][C]205[/C][C]122[/C][C]102.658[/C][C]19.3422[/C][/ROW]
[ROW][C]206[/C][C]63[/C][C]103.463[/C][C]-40.4628[/C][/ROW]
[ROW][C]207[/C][C]44[/C][C]107.742[/C][C]-63.7423[/C][/ROW]
[ROW][C]208[/C][C]52[/C][C]104.03[/C][C]-52.0303[/C][/ROW]
[ROW][C]209[/C][C]131[/C][C]97.0405[/C][C]33.9595[/C][/ROW]
[ROW][C]210[/C][C]101[/C][C]100.087[/C][C]0.912762[/C][/ROW]
[ROW][C]211[/C][C]42[/C][C]107.728[/C][C]-65.7278[/C][/ROW]
[ROW][C]212[/C][C]152[/C][C]107.709[/C][C]44.2913[/C][/ROW]
[ROW][C]213[/C][C]107[/C][C]105.84[/C][C]1.15977[/C][/ROW]
[ROW][C]214[/C][C]77[/C][C]101.414[/C][C]-24.414[/C][/ROW]
[ROW][C]215[/C][C]154[/C][C]104.476[/C][C]49.5244[/C][/ROW]
[ROW][C]216[/C][C]103[/C][C]105.392[/C][C]-2.39238[/C][/ROW]
[ROW][C]217[/C][C]96[/C][C]101[/C][C]-4.99999[/C][/ROW]
[ROW][C]218[/C][C]175[/C][C]108.018[/C][C]66.9819[/C][/ROW]
[ROW][C]219[/C][C]57[/C][C]102.412[/C][C]-45.4119[/C][/ROW]
[ROW][C]220[/C][C]112[/C][C]104.789[/C][C]7.21129[/C][/ROW]
[ROW][C]221[/C][C]143[/C][C]103.894[/C][C]39.1058[/C][/ROW]
[ROW][C]222[/C][C]49[/C][C]107.183[/C][C]-58.183[/C][/ROW]
[ROW][C]223[/C][C]110[/C][C]106.749[/C][C]3.25058[/C][/ROW]
[ROW][C]224[/C][C]131[/C][C]99.6525[/C][C]31.3475[/C][/ROW]
[ROW][C]225[/C][C]167[/C][C]103.15[/C][C]63.8505[/C][/ROW]
[ROW][C]226[/C][C]56[/C][C]100.252[/C][C]-44.2521[/C][/ROW]
[ROW][C]227[/C][C]137[/C][C]107.19[/C][C]29.8102[/C][/ROW]
[ROW][C]228[/C][C]86[/C][C]105.945[/C][C]-19.9447[/C][/ROW]
[ROW][C]229[/C][C]121[/C][C]107.108[/C][C]13.8923[/C][/ROW]
[ROW][C]230[/C][C]149[/C][C]102.657[/C][C]46.3432[/C][/ROW]
[ROW][C]231[/C][C]168[/C][C]105.135[/C][C]62.8653[/C][/ROW]
[ROW][C]232[/C][C]140[/C][C]102.83[/C][C]37.1696[/C][/ROW]
[ROW][C]233[/C][C]88[/C][C]106.068[/C][C]-18.0676[/C][/ROW]
[ROW][C]234[/C][C]168[/C][C]101.202[/C][C]66.7982[/C][/ROW]
[ROW][C]235[/C][C]94[/C][C]104.431[/C][C]-10.4313[/C][/ROW]
[ROW][C]236[/C][C]51[/C][C]105.696[/C][C]-54.6962[/C][/ROW]
[ROW][C]237[/C][C]48[/C][C]98.9893[/C][C]-50.9893[/C][/ROW]
[ROW][C]238[/C][C]145[/C][C]102.474[/C][C]42.526[/C][/ROW]
[ROW][C]239[/C][C]66[/C][C]100.728[/C][C]-34.7282[/C][/ROW]
[ROW][C]240[/C][C]85[/C][C]106.911[/C][C]-21.911[/C][/ROW]
[ROW][C]241[/C][C]109[/C][C]108.116[/C][C]0.883971[/C][/ROW]
[ROW][C]242[/C][C]63[/C][C]98.0482[/C][C]-35.0482[/C][/ROW]
[ROW][C]243[/C][C]102[/C][C]103.745[/C][C]-1.74501[/C][/ROW]
[ROW][C]244[/C][C]162[/C][C]98.1416[/C][C]63.8584[/C][/ROW]
[ROW][C]245[/C][C]86[/C][C]99.6735[/C][C]-13.6735[/C][/ROW]
[ROW][C]246[/C][C]114[/C][C]99.4661[/C][C]14.5339[/C][/ROW]
[ROW][C]247[/C][C]164[/C][C]101.009[/C][C]62.9914[/C][/ROW]
[ROW][C]248[/C][C]119[/C][C]97.2196[/C][C]21.7804[/C][/ROW]
[ROW][C]249[/C][C]126[/C][C]103.144[/C][C]22.8558[/C][/ROW]
[ROW][C]250[/C][C]132[/C][C]103.203[/C][C]28.797[/C][/ROW]
[ROW][C]251[/C][C]142[/C][C]100.426[/C][C]41.5738[/C][/ROW]
[ROW][C]252[/C][C]83[/C][C]98.6146[/C][C]-15.6146[/C][/ROW]
[ROW][C]253[/C][C]94[/C][C]99.4698[/C][C]-5.46979[/C][/ROW]
[ROW][C]254[/C][C]81[/C][C]90.7777[/C][C]-9.77775[/C][/ROW]
[ROW][C]255[/C][C]166[/C][C]94.5133[/C][C]71.4867[/C][/ROW]
[ROW][C]256[/C][C]110[/C][C]101.726[/C][C]8.27442[/C][/ROW]
[ROW][C]257[/C][C]64[/C][C]100.035[/C][C]-36.0353[/C][/ROW]
[ROW][C]258[/C][C]93[/C][C]100.824[/C][C]-7.8239[/C][/ROW]
[ROW][C]259[/C][C]104[/C][C]95.3809[/C][C]8.61913[/C][/ROW]
[ROW][C]260[/C][C]105[/C][C]97.6758[/C][C]7.32424[/C][/ROW]
[ROW][C]261[/C][C]49[/C][C]101.748[/C][C]-52.7477[/C][/ROW]
[ROW][C]262[/C][C]88[/C][C]95.8418[/C][C]-7.84179[/C][/ROW]
[ROW][C]263[/C][C]95[/C][C]97.6674[/C][C]-2.66735[/C][/ROW]
[ROW][C]264[/C][C]102[/C][C]101.992[/C][C]0.00778122[/C][/ROW]
[ROW][C]265[/C][C]99[/C][C]98.7774[/C][C]0.222608[/C][/ROW]
[ROW][C]266[/C][C]63[/C][C]98.317[/C][C]-35.317[/C][/ROW]
[ROW][C]267[/C][C]76[/C][C]95.1624[/C][C]-19.1624[/C][/ROW]
[ROW][C]268[/C][C]109[/C][C]102.576[/C][C]6.42386[/C][/ROW]
[ROW][C]269[/C][C]117[/C][C]102.46[/C][C]14.5397[/C][/ROW]
[ROW][C]270[/C][C]57[/C][C]101.08[/C][C]-44.0801[/C][/ROW]
[ROW][C]271[/C][C]120[/C][C]96.305[/C][C]23.695[/C][/ROW]
[ROW][C]272[/C][C]73[/C][C]95.1131[/C][C]-22.1131[/C][/ROW]
[ROW][C]273[/C][C]91[/C][C]95.6463[/C][C]-4.64626[/C][/ROW]
[ROW][C]274[/C][C]108[/C][C]98.8448[/C][C]9.15522[/C][/ROW]
[ROW][C]275[/C][C]105[/C][C]99.4572[/C][C]5.54278[/C][/ROW]
[ROW][C]276[/C][C]117[/C][C]96.5862[/C][C]20.4138[/C][/ROW]
[ROW][C]277[/C][C]119[/C][C]95.2554[/C][C]23.7446[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267065&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267065&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
1149131.28717.7134
2139136.2452.75473
3148133.9914.0104
4158141.03216.9678
5128135.728-7.7275
6224134.88989.1108
7159133.98325.0174
8105134.781-29.7809
9159145.23813.762
10167146.16720.8327
11165134.79830.2016
12159141.34817.6525
13119131.416-12.416
14176136.86139.1393
1554135.897-81.8973
1691136.815-45.8155
17163132.64230.3575
18124135.091-11.0911
19137135.3931.60706
20121137.743-16.7435
21153139.22513.7753
22148137.60510.3955
23221135.52985.4714
24188132.17155.8286
25149136.10512.8952
26244131.833112.167
27148133.87314.1272
2892134.012-42.0117
29150136.90813.0918
30153131.94921.0509
3194123.342-29.3421
32156134.28221.7182
33132133.389-1.38866
34161129.52631.4742
35105131.261-26.2607
3697130.276-33.2765
37151127.31923.6806
38131133.773-2.77338
39166135.5130.49
40157125.32531.6753
41111129.658-18.6579
42145129.93515.0646
43162129.6332.3699
44163124.01338.9869
4559123.787-64.7869
46187132.02554.9751
47109130.774-21.7736
4890132.491-42.4914
49105129.373-24.3735
5083128.144-45.1439
51116128.946-12.9457
5242127.694-85.6943
53148128.1219.8799
54155134.56920.4312
55125134.765-9.76519
56116129.913-13.9128
57128122.585.41967
58138128.1949.80583
5949123.986-74.9859
6096128.7-32.6996
61164131.93632.0638
62162126.94435.0556
6399119.192-20.1917
64202126.25175.7495
65186126.97759.0233
6666124.423-58.423
67183129.88153.1191
68214129.44284.5579
69188123.89264.1083
70104122.491-18.4908
71177128.76448.2356
72126126.316-0.316403
7376126.708-50.7078
7499130.423-31.4234
75139114.48524.5152
76162121.99940.0014
77108121.862-13.8615
78159130.15228.8476
7974118.121-44.1214
80110125.465-15.4647
8196123.966-27.9658
82116123.222-7.22181
8387123.414-36.4142
8497125.005-28.0051
85127121.3475.65309
86106127.227-21.2271
8780127.251-47.2508
8874122.887-48.8874
8991123.86-32.8597
90133122.00210.9981
9174122.453-48.453
92114116.201-2.20086
93140130.5949.40623
9495116.186-21.1858
9598122.147-24.147
96121127.363-6.36286
97126125.3080.692157
9898122.862-24.8617
9995117.238-22.238
100110122.477-12.477
10170123.98-53.9797
102102125.103-23.1031
10386110.631-24.6312
104130124.9565.04397
10596119.812-23.8122
106102121.33-19.33
107100120.476-20.4764
10894118.326-24.3259
10952121.989-69.9893
11098121.156-23.1561
111118123.801-5.8006
11299120.349-21.3486
11348123.592-75.592
11450111.199-61.1994
115150118.46831.5324
116154121.5132.4898
117109120.454-11.454
11868122.093-54.0928
119194121.2972.7103
120158122.60535.3949
121159121.89337.1073
12267119.057-52.0572
123147117.81929.1813
12439123.264-84.2642
125100118.858-18.8576
126111120.55-9.55033
127138113.89424.1059
128101121.401-20.4009
129131124.3236.67667
130101119.472-18.4724
131114118.239-4.23932
132165119.79545.2052
133114114.358-0.357521
134111119.93-8.92989
13575113.024-38.0235
13682123.353-41.3534
137121116.8714.12896
13832119.033-87.0326
139150117.5232.4802
140117123.025-6.02511
14171107.101-36.1014
142165114.61850.3819
143154119.07334.9267
144126114.52711.473
145149117.01131.9892
146145115.07229.9282
147120125.196-5.1957
148109116.762-7.76226
149132115.62816.372
150172116.19155.8085
151169113.7155.29
152114117.266-3.2663
153156117.74738.2525
154172108.45763.5435
15568120.221-52.2208
15689120.167-31.1668
157167123.28843.7115
158113114.062-1.06245
159115120.365-5.3654
16078110.053-32.0529
161118112.9465.05378
16287115.213-28.2126
163173111.12861.8721
1642118.524-116.524
165162113.40648.5937
16649111.651-62.6507
167122110.76611.2338
16896113.17-17.1696
169100116.629-16.6287
17082114.728-32.7282
171100122.145-22.1452
172115111.0743.92627
173141111.08529.9149
174165114.42150.5787
175165113.87851.1224
176110109.7790.221179
177118112.0735.92677
178158100.50557.4955
179146110.20535.7948
18049104.227-55.2271
18190109.27-19.2701
182121104.04416.9562
183155109.66845.3324
184104110.793-6.79272
185147103.56843.4323
186110112.57-2.56987
187108111.583-3.58327
188113111.0571.94262
189115111.4513.54889
19061107.955-46.9548
19160107.259-47.2594
192109111.465-2.46451
19368112.03-44.0305
194111111.617-0.617302
19577103.702-26.7016
19673111.955-38.9551
197151104.97746.0229
19889106.583-17.5834
19978104.627-26.627
200110112.76-2.76029
201220115.135104.865
20265113.782-48.7819
203141107.77733.2228
204117103.83613.1642
205122102.65819.3422
20663103.463-40.4628
20744107.742-63.7423
20852104.03-52.0303
20913197.040533.9595
210101100.0870.912762
21142107.728-65.7278
212152107.70944.2913
213107105.841.15977
21477101.414-24.414
215154104.47649.5244
216103105.392-2.39238
21796101-4.99999
218175108.01866.9819
21957102.412-45.4119
220112104.7897.21129
221143103.89439.1058
22249107.183-58.183
223110106.7493.25058
22413199.652531.3475
225167103.1563.8505
22656100.252-44.2521
227137107.1929.8102
22886105.945-19.9447
229121107.10813.8923
230149102.65746.3432
231168105.13562.8653
232140102.8337.1696
23388106.068-18.0676
234168101.20266.7982
23594104.431-10.4313
23651105.696-54.6962
2374898.9893-50.9893
238145102.47442.526
23966100.728-34.7282
24085106.911-21.911
241109108.1160.883971
2426398.0482-35.0482
243102103.745-1.74501
24416298.141663.8584
2458699.6735-13.6735
24611499.466114.5339
247164101.00962.9914
24811997.219621.7804
249126103.14422.8558
250132103.20328.797
251142100.42641.5738
2528398.6146-15.6146
2539499.4698-5.46979
2548190.7777-9.77775
25516694.513371.4867
256110101.7268.27442
25764100.035-36.0353
25893100.824-7.8239
25910495.38098.61913
26010597.67587.32424
26149101.748-52.7477
2628895.8418-7.84179
2639597.6674-2.66735
264102101.9920.00778122
2659998.77740.222608
2666398.317-35.317
2677695.1624-19.1624
268109102.5766.42386
269117102.4614.5397
27057101.08-44.0801
27112096.30523.695
2727395.1131-22.1131
2739195.6463-4.64626
27410898.84489.15522
27510599.45725.54278
27611796.586220.4138
27711995.255423.7446






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.04455290.08910580.955447
120.2391710.4783420.760829
130.1885530.3771070.811447
140.1242140.2484290.875786
150.3018080.6036150.698192
160.5028150.9943690.497185
170.4483040.8966090.551696
180.362070.724140.63793
190.3969480.7938960.603052
200.3162110.6324220.683789
210.2473240.4946480.752676
220.2654950.530990.734505
230.5509610.8980780.449039
240.6301520.7396970.369848
250.6040680.7918630.395932
260.6599060.6801880.340094
270.6248870.7502270.375113
280.7131130.5737740.286887
290.6571440.6857130.342856
300.6502450.6995110.349755
310.7472330.5055340.252767
320.7176290.5647420.282371
330.6653760.6692490.334624
340.6177580.7644840.382242
350.5926250.8147490.407375
360.574450.8511010.42555
370.5236030.9527950.476397
380.4845170.9690350.515483
390.4694580.9389170.530542
400.4653240.9306470.534676
410.4593430.9186860.540657
420.4108430.8216860.589157
430.3778170.7556340.622183
440.346550.69310.65345
450.5118620.9762760.488138
460.5457980.9084030.454202
470.5262330.9475340.473767
480.5805770.8388460.419423
490.5672160.8655670.432784
500.5799770.8400450.420023
510.5376380.9247240.462362
520.6459940.7080110.354006
530.6177360.7645280.382264
540.5850740.8298520.414926
550.5445990.9108020.455401
560.5004380.9991230.499562
570.4660040.9320080.533996
580.4604060.9208130.539594
590.563720.872560.43628
600.5361270.9277460.463873
610.54510.90980.4549
620.5629530.8740930.437047
630.5291930.9416140.470807
640.6794650.641070.320535
650.7753080.4493830.224692
660.7890540.4218930.210946
670.8246020.3507960.175398
680.9022930.1954130.0977065
690.9281610.1436770.0718386
700.9184940.1630120.0815062
710.9290570.1418860.0709429
720.9160860.1678270.0839137
730.9194280.1611440.0805719
740.9127830.1744330.0872165
750.9050920.1898160.0949078
760.9070110.1859780.0929892
770.8905210.2189580.109479
780.8814240.2371520.118576
790.8933580.2132840.106642
800.8802950.2394110.119705
810.8704320.2591360.129568
820.8516810.2966390.148319
830.848490.3030190.15151
840.8333520.3332960.166648
850.8118640.3762720.188136
860.7898180.4203640.210182
870.8004420.3991160.199558
880.80220.3956010.1978
890.7819110.4361780.218089
900.7616840.4766320.238316
910.7567640.4864720.243236
920.7334960.5330080.266504
930.7086810.5826380.291319
940.677970.644060.32203
950.6485540.7028920.351446
960.6141380.7717240.385862
970.5835810.8328390.416419
980.5503330.8993340.449667
990.5180230.9639540.481977
1000.4818520.9637040.518148
1010.4966450.9932890.503355
1020.4656940.9313880.534306
1030.4358090.8716190.564191
1040.4044790.8089580.595521
1050.3739840.7479670.626016
1060.3417490.6834970.658251
1070.3119190.6238380.688081
1080.285410.5708210.71459
1090.3285050.657010.671495
1100.3018450.603690.698155
1110.2723560.5447120.727644
1120.2514240.5028480.748576
1130.2991130.5982260.700887
1140.3221650.644330.677835
1150.3434230.6868470.656577
1160.3600180.7200350.639982
1170.336620.673240.66338
1180.3357460.6714920.664254
1190.4778790.9557570.522121
1200.4919080.9838160.508092
1210.5162430.9675140.483757
1220.5324250.9351490.467575
1230.5456920.9086150.454308
1240.6532860.6934280.346714
1250.6244450.751110.375555
1260.5913530.8172930.408647
1270.5879390.8241220.412061
1280.5576630.8846740.442337
1290.5286580.9426840.471342
1300.4970570.9941150.502943
1310.4664590.9329180.533541
1320.50510.9898010.4949
1330.4738830.9477660.526117
1340.4393670.8787330.560633
1350.4347780.8695560.565222
1360.4297410.8594810.570259
1370.3994140.7988270.600586
1380.5294350.9411310.470565
1390.5366260.9267490.463374
1400.5032740.9934520.496726
1410.5101410.9797170.489859
1420.5505640.8988710.449436
1430.5582010.8835990.441799
1440.5321250.935750.467875
1450.5313680.9372630.468632
1460.528730.942540.47127
1470.4936850.987370.506315
1480.4596680.9193360.540332
1490.4347430.8694860.565257
1500.4918450.983690.508155
1510.5480570.9038860.451943
1520.5131420.9737160.486858
1530.5237270.9525450.476273
1540.5957140.8085720.404286
1550.6111230.7777540.388877
1560.5917970.8164050.408203
1570.6199180.7601630.380082
1580.5862520.8274960.413748
1590.5513940.8972110.448606
1600.5342370.9315270.465763
1610.5013860.9972280.498614
1620.477020.9540390.52298
1630.548030.903940.45197
1640.7802820.4394350.219718
1650.8011340.3977320.198866
1660.8382340.3235330.161766
1670.8190180.3619630.180982
1680.7980310.4039370.201969
1690.7746330.4507340.225367
1700.7667530.4664940.233247
1710.7456390.5087210.254361
1720.7182120.5635760.281788
1730.7089530.5820940.291047
1740.737620.5247610.26238
1750.7678540.4642910.232146
1760.7393940.5212110.260606
1770.7105920.5788150.289408
1780.7579280.4841430.242072
1790.764940.4701190.23506
1800.7983540.4032920.201646
1810.7778670.4442670.222133
1820.7573220.4853560.242678
1830.7826380.4347240.217362
1840.7540140.4919730.245986
1850.769990.4600210.23001
1860.7403840.5192320.259616
1870.7091390.5817210.290861
1880.6763190.6473620.323681
1890.6424120.7151770.357588
1900.6468260.7063470.353174
1910.6509040.6981920.349096
1920.6155930.7688140.384407
1930.6230430.7539140.376957
1940.5866320.8267360.413368
1950.5656360.8687290.434364
1960.5746070.8507860.425393
1970.5996080.8007830.400392
1980.5712570.8574870.428743
1990.5510060.8979870.448994
2000.512170.975660.48783
2010.7730320.4539360.226968
2020.7788950.442210.221105
2030.7709290.4581420.229071
2040.7444560.5110880.255544
2050.7172870.5654250.282713
2060.7214270.5571450.278573
2070.78220.43560.2178
2080.8047070.3905860.195293
2090.7852830.4294340.214717
2100.7623840.4752310.237616
2110.8377110.3245770.162289
2120.840150.31970.15985
2130.8151580.3696830.184842
2140.8437190.3125610.156281
2150.8403740.3192520.159626
2160.8153150.369370.184685
2170.7897530.4204930.210247
2180.8528480.2943030.147152
2190.8763810.2472380.123619
2200.8528460.2943080.147154
2210.8395880.3208240.160412
2220.8793940.2412120.120606
2230.8541190.2917610.145881
2240.8308840.3382320.169116
2250.8662150.2675710.133785
2260.9126140.1747730.0873864
2270.9035940.1928120.0964059
2280.8971850.2056290.102815
2290.8754780.2490440.124522
2300.8791070.2417850.120893
2310.9084950.183010.0915051
2320.9068040.1863910.0931955
2330.8905320.2189360.109468
2340.943710.112580.0562898
2350.9284550.1430890.0715447
2360.9509640.09807280.0490364
2370.9890360.02192840.0109642
2380.9862430.02751350.0137568
2390.9863330.02733460.0136673
2400.9820780.03584430.0179221
2410.9743090.05138150.0256908
2420.9747920.05041690.0252084
2430.966580.06684030.0334201
2440.9660250.06795060.0339753
2450.962750.07450050.0372503
2460.9494170.1011650.0505827
2470.9848530.03029480.0151474
2480.9777830.04443380.0222169
2490.9694950.06100960.0305048
2500.9709250.05815020.0290751
2510.983530.032940.01647
2520.9739360.05212760.0260638
2530.960410.0791810.0395905
2540.943410.1131810.0565903
2550.9910830.01783390.00891693
2560.9909940.01801210.00900605
2570.9855460.02890870.0144544
2580.9731710.05365720.0268286
2590.9534120.09317640.0465882
2600.9610430.07791410.038957
2610.9669280.06614460.0330723
2620.9354570.1290870.0645433
2630.8927950.2144090.107205
2640.9057950.1884110.0942053
2650.9357850.1284310.0642153
2660.8521380.2957230.147862

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
11 & 0.0445529 & 0.0891058 & 0.955447 \tabularnewline
12 & 0.239171 & 0.478342 & 0.760829 \tabularnewline
13 & 0.188553 & 0.377107 & 0.811447 \tabularnewline
14 & 0.124214 & 0.248429 & 0.875786 \tabularnewline
15 & 0.301808 & 0.603615 & 0.698192 \tabularnewline
16 & 0.502815 & 0.994369 & 0.497185 \tabularnewline
17 & 0.448304 & 0.896609 & 0.551696 \tabularnewline
18 & 0.36207 & 0.72414 & 0.63793 \tabularnewline
19 & 0.396948 & 0.793896 & 0.603052 \tabularnewline
20 & 0.316211 & 0.632422 & 0.683789 \tabularnewline
21 & 0.247324 & 0.494648 & 0.752676 \tabularnewline
22 & 0.265495 & 0.53099 & 0.734505 \tabularnewline
23 & 0.550961 & 0.898078 & 0.449039 \tabularnewline
24 & 0.630152 & 0.739697 & 0.369848 \tabularnewline
25 & 0.604068 & 0.791863 & 0.395932 \tabularnewline
26 & 0.659906 & 0.680188 & 0.340094 \tabularnewline
27 & 0.624887 & 0.750227 & 0.375113 \tabularnewline
28 & 0.713113 & 0.573774 & 0.286887 \tabularnewline
29 & 0.657144 & 0.685713 & 0.342856 \tabularnewline
30 & 0.650245 & 0.699511 & 0.349755 \tabularnewline
31 & 0.747233 & 0.505534 & 0.252767 \tabularnewline
32 & 0.717629 & 0.564742 & 0.282371 \tabularnewline
33 & 0.665376 & 0.669249 & 0.334624 \tabularnewline
34 & 0.617758 & 0.764484 & 0.382242 \tabularnewline
35 & 0.592625 & 0.814749 & 0.407375 \tabularnewline
36 & 0.57445 & 0.851101 & 0.42555 \tabularnewline
37 & 0.523603 & 0.952795 & 0.476397 \tabularnewline
38 & 0.484517 & 0.969035 & 0.515483 \tabularnewline
39 & 0.469458 & 0.938917 & 0.530542 \tabularnewline
40 & 0.465324 & 0.930647 & 0.534676 \tabularnewline
41 & 0.459343 & 0.918686 & 0.540657 \tabularnewline
42 & 0.410843 & 0.821686 & 0.589157 \tabularnewline
43 & 0.377817 & 0.755634 & 0.622183 \tabularnewline
44 & 0.34655 & 0.6931 & 0.65345 \tabularnewline
45 & 0.511862 & 0.976276 & 0.488138 \tabularnewline
46 & 0.545798 & 0.908403 & 0.454202 \tabularnewline
47 & 0.526233 & 0.947534 & 0.473767 \tabularnewline
48 & 0.580577 & 0.838846 & 0.419423 \tabularnewline
49 & 0.567216 & 0.865567 & 0.432784 \tabularnewline
50 & 0.579977 & 0.840045 & 0.420023 \tabularnewline
51 & 0.537638 & 0.924724 & 0.462362 \tabularnewline
52 & 0.645994 & 0.708011 & 0.354006 \tabularnewline
53 & 0.617736 & 0.764528 & 0.382264 \tabularnewline
54 & 0.585074 & 0.829852 & 0.414926 \tabularnewline
55 & 0.544599 & 0.910802 & 0.455401 \tabularnewline
56 & 0.500438 & 0.999123 & 0.499562 \tabularnewline
57 & 0.466004 & 0.932008 & 0.533996 \tabularnewline
58 & 0.460406 & 0.920813 & 0.539594 \tabularnewline
59 & 0.56372 & 0.87256 & 0.43628 \tabularnewline
60 & 0.536127 & 0.927746 & 0.463873 \tabularnewline
61 & 0.5451 & 0.9098 & 0.4549 \tabularnewline
62 & 0.562953 & 0.874093 & 0.437047 \tabularnewline
63 & 0.529193 & 0.941614 & 0.470807 \tabularnewline
64 & 0.679465 & 0.64107 & 0.320535 \tabularnewline
65 & 0.775308 & 0.449383 & 0.224692 \tabularnewline
66 & 0.789054 & 0.421893 & 0.210946 \tabularnewline
67 & 0.824602 & 0.350796 & 0.175398 \tabularnewline
68 & 0.902293 & 0.195413 & 0.0977065 \tabularnewline
69 & 0.928161 & 0.143677 & 0.0718386 \tabularnewline
70 & 0.918494 & 0.163012 & 0.0815062 \tabularnewline
71 & 0.929057 & 0.141886 & 0.0709429 \tabularnewline
72 & 0.916086 & 0.167827 & 0.0839137 \tabularnewline
73 & 0.919428 & 0.161144 & 0.0805719 \tabularnewline
74 & 0.912783 & 0.174433 & 0.0872165 \tabularnewline
75 & 0.905092 & 0.189816 & 0.0949078 \tabularnewline
76 & 0.907011 & 0.185978 & 0.0929892 \tabularnewline
77 & 0.890521 & 0.218958 & 0.109479 \tabularnewline
78 & 0.881424 & 0.237152 & 0.118576 \tabularnewline
79 & 0.893358 & 0.213284 & 0.106642 \tabularnewline
80 & 0.880295 & 0.239411 & 0.119705 \tabularnewline
81 & 0.870432 & 0.259136 & 0.129568 \tabularnewline
82 & 0.851681 & 0.296639 & 0.148319 \tabularnewline
83 & 0.84849 & 0.303019 & 0.15151 \tabularnewline
84 & 0.833352 & 0.333296 & 0.166648 \tabularnewline
85 & 0.811864 & 0.376272 & 0.188136 \tabularnewline
86 & 0.789818 & 0.420364 & 0.210182 \tabularnewline
87 & 0.800442 & 0.399116 & 0.199558 \tabularnewline
88 & 0.8022 & 0.395601 & 0.1978 \tabularnewline
89 & 0.781911 & 0.436178 & 0.218089 \tabularnewline
90 & 0.761684 & 0.476632 & 0.238316 \tabularnewline
91 & 0.756764 & 0.486472 & 0.243236 \tabularnewline
92 & 0.733496 & 0.533008 & 0.266504 \tabularnewline
93 & 0.708681 & 0.582638 & 0.291319 \tabularnewline
94 & 0.67797 & 0.64406 & 0.32203 \tabularnewline
95 & 0.648554 & 0.702892 & 0.351446 \tabularnewline
96 & 0.614138 & 0.771724 & 0.385862 \tabularnewline
97 & 0.583581 & 0.832839 & 0.416419 \tabularnewline
98 & 0.550333 & 0.899334 & 0.449667 \tabularnewline
99 & 0.518023 & 0.963954 & 0.481977 \tabularnewline
100 & 0.481852 & 0.963704 & 0.518148 \tabularnewline
101 & 0.496645 & 0.993289 & 0.503355 \tabularnewline
102 & 0.465694 & 0.931388 & 0.534306 \tabularnewline
103 & 0.435809 & 0.871619 & 0.564191 \tabularnewline
104 & 0.404479 & 0.808958 & 0.595521 \tabularnewline
105 & 0.373984 & 0.747967 & 0.626016 \tabularnewline
106 & 0.341749 & 0.683497 & 0.658251 \tabularnewline
107 & 0.311919 & 0.623838 & 0.688081 \tabularnewline
108 & 0.28541 & 0.570821 & 0.71459 \tabularnewline
109 & 0.328505 & 0.65701 & 0.671495 \tabularnewline
110 & 0.301845 & 0.60369 & 0.698155 \tabularnewline
111 & 0.272356 & 0.544712 & 0.727644 \tabularnewline
112 & 0.251424 & 0.502848 & 0.748576 \tabularnewline
113 & 0.299113 & 0.598226 & 0.700887 \tabularnewline
114 & 0.322165 & 0.64433 & 0.677835 \tabularnewline
115 & 0.343423 & 0.686847 & 0.656577 \tabularnewline
116 & 0.360018 & 0.720035 & 0.639982 \tabularnewline
117 & 0.33662 & 0.67324 & 0.66338 \tabularnewline
118 & 0.335746 & 0.671492 & 0.664254 \tabularnewline
119 & 0.477879 & 0.955757 & 0.522121 \tabularnewline
120 & 0.491908 & 0.983816 & 0.508092 \tabularnewline
121 & 0.516243 & 0.967514 & 0.483757 \tabularnewline
122 & 0.532425 & 0.935149 & 0.467575 \tabularnewline
123 & 0.545692 & 0.908615 & 0.454308 \tabularnewline
124 & 0.653286 & 0.693428 & 0.346714 \tabularnewline
125 & 0.624445 & 0.75111 & 0.375555 \tabularnewline
126 & 0.591353 & 0.817293 & 0.408647 \tabularnewline
127 & 0.587939 & 0.824122 & 0.412061 \tabularnewline
128 & 0.557663 & 0.884674 & 0.442337 \tabularnewline
129 & 0.528658 & 0.942684 & 0.471342 \tabularnewline
130 & 0.497057 & 0.994115 & 0.502943 \tabularnewline
131 & 0.466459 & 0.932918 & 0.533541 \tabularnewline
132 & 0.5051 & 0.989801 & 0.4949 \tabularnewline
133 & 0.473883 & 0.947766 & 0.526117 \tabularnewline
134 & 0.439367 & 0.878733 & 0.560633 \tabularnewline
135 & 0.434778 & 0.869556 & 0.565222 \tabularnewline
136 & 0.429741 & 0.859481 & 0.570259 \tabularnewline
137 & 0.399414 & 0.798827 & 0.600586 \tabularnewline
138 & 0.529435 & 0.941131 & 0.470565 \tabularnewline
139 & 0.536626 & 0.926749 & 0.463374 \tabularnewline
140 & 0.503274 & 0.993452 & 0.496726 \tabularnewline
141 & 0.510141 & 0.979717 & 0.489859 \tabularnewline
142 & 0.550564 & 0.898871 & 0.449436 \tabularnewline
143 & 0.558201 & 0.883599 & 0.441799 \tabularnewline
144 & 0.532125 & 0.93575 & 0.467875 \tabularnewline
145 & 0.531368 & 0.937263 & 0.468632 \tabularnewline
146 & 0.52873 & 0.94254 & 0.47127 \tabularnewline
147 & 0.493685 & 0.98737 & 0.506315 \tabularnewline
148 & 0.459668 & 0.919336 & 0.540332 \tabularnewline
149 & 0.434743 & 0.869486 & 0.565257 \tabularnewline
150 & 0.491845 & 0.98369 & 0.508155 \tabularnewline
151 & 0.548057 & 0.903886 & 0.451943 \tabularnewline
152 & 0.513142 & 0.973716 & 0.486858 \tabularnewline
153 & 0.523727 & 0.952545 & 0.476273 \tabularnewline
154 & 0.595714 & 0.808572 & 0.404286 \tabularnewline
155 & 0.611123 & 0.777754 & 0.388877 \tabularnewline
156 & 0.591797 & 0.816405 & 0.408203 \tabularnewline
157 & 0.619918 & 0.760163 & 0.380082 \tabularnewline
158 & 0.586252 & 0.827496 & 0.413748 \tabularnewline
159 & 0.551394 & 0.897211 & 0.448606 \tabularnewline
160 & 0.534237 & 0.931527 & 0.465763 \tabularnewline
161 & 0.501386 & 0.997228 & 0.498614 \tabularnewline
162 & 0.47702 & 0.954039 & 0.52298 \tabularnewline
163 & 0.54803 & 0.90394 & 0.45197 \tabularnewline
164 & 0.780282 & 0.439435 & 0.219718 \tabularnewline
165 & 0.801134 & 0.397732 & 0.198866 \tabularnewline
166 & 0.838234 & 0.323533 & 0.161766 \tabularnewline
167 & 0.819018 & 0.361963 & 0.180982 \tabularnewline
168 & 0.798031 & 0.403937 & 0.201969 \tabularnewline
169 & 0.774633 & 0.450734 & 0.225367 \tabularnewline
170 & 0.766753 & 0.466494 & 0.233247 \tabularnewline
171 & 0.745639 & 0.508721 & 0.254361 \tabularnewline
172 & 0.718212 & 0.563576 & 0.281788 \tabularnewline
173 & 0.708953 & 0.582094 & 0.291047 \tabularnewline
174 & 0.73762 & 0.524761 & 0.26238 \tabularnewline
175 & 0.767854 & 0.464291 & 0.232146 \tabularnewline
176 & 0.739394 & 0.521211 & 0.260606 \tabularnewline
177 & 0.710592 & 0.578815 & 0.289408 \tabularnewline
178 & 0.757928 & 0.484143 & 0.242072 \tabularnewline
179 & 0.76494 & 0.470119 & 0.23506 \tabularnewline
180 & 0.798354 & 0.403292 & 0.201646 \tabularnewline
181 & 0.777867 & 0.444267 & 0.222133 \tabularnewline
182 & 0.757322 & 0.485356 & 0.242678 \tabularnewline
183 & 0.782638 & 0.434724 & 0.217362 \tabularnewline
184 & 0.754014 & 0.491973 & 0.245986 \tabularnewline
185 & 0.76999 & 0.460021 & 0.23001 \tabularnewline
186 & 0.740384 & 0.519232 & 0.259616 \tabularnewline
187 & 0.709139 & 0.581721 & 0.290861 \tabularnewline
188 & 0.676319 & 0.647362 & 0.323681 \tabularnewline
189 & 0.642412 & 0.715177 & 0.357588 \tabularnewline
190 & 0.646826 & 0.706347 & 0.353174 \tabularnewline
191 & 0.650904 & 0.698192 & 0.349096 \tabularnewline
192 & 0.615593 & 0.768814 & 0.384407 \tabularnewline
193 & 0.623043 & 0.753914 & 0.376957 \tabularnewline
194 & 0.586632 & 0.826736 & 0.413368 \tabularnewline
195 & 0.565636 & 0.868729 & 0.434364 \tabularnewline
196 & 0.574607 & 0.850786 & 0.425393 \tabularnewline
197 & 0.599608 & 0.800783 & 0.400392 \tabularnewline
198 & 0.571257 & 0.857487 & 0.428743 \tabularnewline
199 & 0.551006 & 0.897987 & 0.448994 \tabularnewline
200 & 0.51217 & 0.97566 & 0.48783 \tabularnewline
201 & 0.773032 & 0.453936 & 0.226968 \tabularnewline
202 & 0.778895 & 0.44221 & 0.221105 \tabularnewline
203 & 0.770929 & 0.458142 & 0.229071 \tabularnewline
204 & 0.744456 & 0.511088 & 0.255544 \tabularnewline
205 & 0.717287 & 0.565425 & 0.282713 \tabularnewline
206 & 0.721427 & 0.557145 & 0.278573 \tabularnewline
207 & 0.7822 & 0.4356 & 0.2178 \tabularnewline
208 & 0.804707 & 0.390586 & 0.195293 \tabularnewline
209 & 0.785283 & 0.429434 & 0.214717 \tabularnewline
210 & 0.762384 & 0.475231 & 0.237616 \tabularnewline
211 & 0.837711 & 0.324577 & 0.162289 \tabularnewline
212 & 0.84015 & 0.3197 & 0.15985 \tabularnewline
213 & 0.815158 & 0.369683 & 0.184842 \tabularnewline
214 & 0.843719 & 0.312561 & 0.156281 \tabularnewline
215 & 0.840374 & 0.319252 & 0.159626 \tabularnewline
216 & 0.815315 & 0.36937 & 0.184685 \tabularnewline
217 & 0.789753 & 0.420493 & 0.210247 \tabularnewline
218 & 0.852848 & 0.294303 & 0.147152 \tabularnewline
219 & 0.876381 & 0.247238 & 0.123619 \tabularnewline
220 & 0.852846 & 0.294308 & 0.147154 \tabularnewline
221 & 0.839588 & 0.320824 & 0.160412 \tabularnewline
222 & 0.879394 & 0.241212 & 0.120606 \tabularnewline
223 & 0.854119 & 0.291761 & 0.145881 \tabularnewline
224 & 0.830884 & 0.338232 & 0.169116 \tabularnewline
225 & 0.866215 & 0.267571 & 0.133785 \tabularnewline
226 & 0.912614 & 0.174773 & 0.0873864 \tabularnewline
227 & 0.903594 & 0.192812 & 0.0964059 \tabularnewline
228 & 0.897185 & 0.205629 & 0.102815 \tabularnewline
229 & 0.875478 & 0.249044 & 0.124522 \tabularnewline
230 & 0.879107 & 0.241785 & 0.120893 \tabularnewline
231 & 0.908495 & 0.18301 & 0.0915051 \tabularnewline
232 & 0.906804 & 0.186391 & 0.0931955 \tabularnewline
233 & 0.890532 & 0.218936 & 0.109468 \tabularnewline
234 & 0.94371 & 0.11258 & 0.0562898 \tabularnewline
235 & 0.928455 & 0.143089 & 0.0715447 \tabularnewline
236 & 0.950964 & 0.0980728 & 0.0490364 \tabularnewline
237 & 0.989036 & 0.0219284 & 0.0109642 \tabularnewline
238 & 0.986243 & 0.0275135 & 0.0137568 \tabularnewline
239 & 0.986333 & 0.0273346 & 0.0136673 \tabularnewline
240 & 0.982078 & 0.0358443 & 0.0179221 \tabularnewline
241 & 0.974309 & 0.0513815 & 0.0256908 \tabularnewline
242 & 0.974792 & 0.0504169 & 0.0252084 \tabularnewline
243 & 0.96658 & 0.0668403 & 0.0334201 \tabularnewline
244 & 0.966025 & 0.0679506 & 0.0339753 \tabularnewline
245 & 0.96275 & 0.0745005 & 0.0372503 \tabularnewline
246 & 0.949417 & 0.101165 & 0.0505827 \tabularnewline
247 & 0.984853 & 0.0302948 & 0.0151474 \tabularnewline
248 & 0.977783 & 0.0444338 & 0.0222169 \tabularnewline
249 & 0.969495 & 0.0610096 & 0.0305048 \tabularnewline
250 & 0.970925 & 0.0581502 & 0.0290751 \tabularnewline
251 & 0.98353 & 0.03294 & 0.01647 \tabularnewline
252 & 0.973936 & 0.0521276 & 0.0260638 \tabularnewline
253 & 0.96041 & 0.079181 & 0.0395905 \tabularnewline
254 & 0.94341 & 0.113181 & 0.0565903 \tabularnewline
255 & 0.991083 & 0.0178339 & 0.00891693 \tabularnewline
256 & 0.990994 & 0.0180121 & 0.00900605 \tabularnewline
257 & 0.985546 & 0.0289087 & 0.0144544 \tabularnewline
258 & 0.973171 & 0.0536572 & 0.0268286 \tabularnewline
259 & 0.953412 & 0.0931764 & 0.0465882 \tabularnewline
260 & 0.961043 & 0.0779141 & 0.038957 \tabularnewline
261 & 0.966928 & 0.0661446 & 0.0330723 \tabularnewline
262 & 0.935457 & 0.129087 & 0.0645433 \tabularnewline
263 & 0.892795 & 0.214409 & 0.107205 \tabularnewline
264 & 0.905795 & 0.188411 & 0.0942053 \tabularnewline
265 & 0.935785 & 0.128431 & 0.0642153 \tabularnewline
266 & 0.852138 & 0.295723 & 0.147862 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267065&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]11[/C][C]0.0445529[/C][C]0.0891058[/C][C]0.955447[/C][/ROW]
[ROW][C]12[/C][C]0.239171[/C][C]0.478342[/C][C]0.760829[/C][/ROW]
[ROW][C]13[/C][C]0.188553[/C][C]0.377107[/C][C]0.811447[/C][/ROW]
[ROW][C]14[/C][C]0.124214[/C][C]0.248429[/C][C]0.875786[/C][/ROW]
[ROW][C]15[/C][C]0.301808[/C][C]0.603615[/C][C]0.698192[/C][/ROW]
[ROW][C]16[/C][C]0.502815[/C][C]0.994369[/C][C]0.497185[/C][/ROW]
[ROW][C]17[/C][C]0.448304[/C][C]0.896609[/C][C]0.551696[/C][/ROW]
[ROW][C]18[/C][C]0.36207[/C][C]0.72414[/C][C]0.63793[/C][/ROW]
[ROW][C]19[/C][C]0.396948[/C][C]0.793896[/C][C]0.603052[/C][/ROW]
[ROW][C]20[/C][C]0.316211[/C][C]0.632422[/C][C]0.683789[/C][/ROW]
[ROW][C]21[/C][C]0.247324[/C][C]0.494648[/C][C]0.752676[/C][/ROW]
[ROW][C]22[/C][C]0.265495[/C][C]0.53099[/C][C]0.734505[/C][/ROW]
[ROW][C]23[/C][C]0.550961[/C][C]0.898078[/C][C]0.449039[/C][/ROW]
[ROW][C]24[/C][C]0.630152[/C][C]0.739697[/C][C]0.369848[/C][/ROW]
[ROW][C]25[/C][C]0.604068[/C][C]0.791863[/C][C]0.395932[/C][/ROW]
[ROW][C]26[/C][C]0.659906[/C][C]0.680188[/C][C]0.340094[/C][/ROW]
[ROW][C]27[/C][C]0.624887[/C][C]0.750227[/C][C]0.375113[/C][/ROW]
[ROW][C]28[/C][C]0.713113[/C][C]0.573774[/C][C]0.286887[/C][/ROW]
[ROW][C]29[/C][C]0.657144[/C][C]0.685713[/C][C]0.342856[/C][/ROW]
[ROW][C]30[/C][C]0.650245[/C][C]0.699511[/C][C]0.349755[/C][/ROW]
[ROW][C]31[/C][C]0.747233[/C][C]0.505534[/C][C]0.252767[/C][/ROW]
[ROW][C]32[/C][C]0.717629[/C][C]0.564742[/C][C]0.282371[/C][/ROW]
[ROW][C]33[/C][C]0.665376[/C][C]0.669249[/C][C]0.334624[/C][/ROW]
[ROW][C]34[/C][C]0.617758[/C][C]0.764484[/C][C]0.382242[/C][/ROW]
[ROW][C]35[/C][C]0.592625[/C][C]0.814749[/C][C]0.407375[/C][/ROW]
[ROW][C]36[/C][C]0.57445[/C][C]0.851101[/C][C]0.42555[/C][/ROW]
[ROW][C]37[/C][C]0.523603[/C][C]0.952795[/C][C]0.476397[/C][/ROW]
[ROW][C]38[/C][C]0.484517[/C][C]0.969035[/C][C]0.515483[/C][/ROW]
[ROW][C]39[/C][C]0.469458[/C][C]0.938917[/C][C]0.530542[/C][/ROW]
[ROW][C]40[/C][C]0.465324[/C][C]0.930647[/C][C]0.534676[/C][/ROW]
[ROW][C]41[/C][C]0.459343[/C][C]0.918686[/C][C]0.540657[/C][/ROW]
[ROW][C]42[/C][C]0.410843[/C][C]0.821686[/C][C]0.589157[/C][/ROW]
[ROW][C]43[/C][C]0.377817[/C][C]0.755634[/C][C]0.622183[/C][/ROW]
[ROW][C]44[/C][C]0.34655[/C][C]0.6931[/C][C]0.65345[/C][/ROW]
[ROW][C]45[/C][C]0.511862[/C][C]0.976276[/C][C]0.488138[/C][/ROW]
[ROW][C]46[/C][C]0.545798[/C][C]0.908403[/C][C]0.454202[/C][/ROW]
[ROW][C]47[/C][C]0.526233[/C][C]0.947534[/C][C]0.473767[/C][/ROW]
[ROW][C]48[/C][C]0.580577[/C][C]0.838846[/C][C]0.419423[/C][/ROW]
[ROW][C]49[/C][C]0.567216[/C][C]0.865567[/C][C]0.432784[/C][/ROW]
[ROW][C]50[/C][C]0.579977[/C][C]0.840045[/C][C]0.420023[/C][/ROW]
[ROW][C]51[/C][C]0.537638[/C][C]0.924724[/C][C]0.462362[/C][/ROW]
[ROW][C]52[/C][C]0.645994[/C][C]0.708011[/C][C]0.354006[/C][/ROW]
[ROW][C]53[/C][C]0.617736[/C][C]0.764528[/C][C]0.382264[/C][/ROW]
[ROW][C]54[/C][C]0.585074[/C][C]0.829852[/C][C]0.414926[/C][/ROW]
[ROW][C]55[/C][C]0.544599[/C][C]0.910802[/C][C]0.455401[/C][/ROW]
[ROW][C]56[/C][C]0.500438[/C][C]0.999123[/C][C]0.499562[/C][/ROW]
[ROW][C]57[/C][C]0.466004[/C][C]0.932008[/C][C]0.533996[/C][/ROW]
[ROW][C]58[/C][C]0.460406[/C][C]0.920813[/C][C]0.539594[/C][/ROW]
[ROW][C]59[/C][C]0.56372[/C][C]0.87256[/C][C]0.43628[/C][/ROW]
[ROW][C]60[/C][C]0.536127[/C][C]0.927746[/C][C]0.463873[/C][/ROW]
[ROW][C]61[/C][C]0.5451[/C][C]0.9098[/C][C]0.4549[/C][/ROW]
[ROW][C]62[/C][C]0.562953[/C][C]0.874093[/C][C]0.437047[/C][/ROW]
[ROW][C]63[/C][C]0.529193[/C][C]0.941614[/C][C]0.470807[/C][/ROW]
[ROW][C]64[/C][C]0.679465[/C][C]0.64107[/C][C]0.320535[/C][/ROW]
[ROW][C]65[/C][C]0.775308[/C][C]0.449383[/C][C]0.224692[/C][/ROW]
[ROW][C]66[/C][C]0.789054[/C][C]0.421893[/C][C]0.210946[/C][/ROW]
[ROW][C]67[/C][C]0.824602[/C][C]0.350796[/C][C]0.175398[/C][/ROW]
[ROW][C]68[/C][C]0.902293[/C][C]0.195413[/C][C]0.0977065[/C][/ROW]
[ROW][C]69[/C][C]0.928161[/C][C]0.143677[/C][C]0.0718386[/C][/ROW]
[ROW][C]70[/C][C]0.918494[/C][C]0.163012[/C][C]0.0815062[/C][/ROW]
[ROW][C]71[/C][C]0.929057[/C][C]0.141886[/C][C]0.0709429[/C][/ROW]
[ROW][C]72[/C][C]0.916086[/C][C]0.167827[/C][C]0.0839137[/C][/ROW]
[ROW][C]73[/C][C]0.919428[/C][C]0.161144[/C][C]0.0805719[/C][/ROW]
[ROW][C]74[/C][C]0.912783[/C][C]0.174433[/C][C]0.0872165[/C][/ROW]
[ROW][C]75[/C][C]0.905092[/C][C]0.189816[/C][C]0.0949078[/C][/ROW]
[ROW][C]76[/C][C]0.907011[/C][C]0.185978[/C][C]0.0929892[/C][/ROW]
[ROW][C]77[/C][C]0.890521[/C][C]0.218958[/C][C]0.109479[/C][/ROW]
[ROW][C]78[/C][C]0.881424[/C][C]0.237152[/C][C]0.118576[/C][/ROW]
[ROW][C]79[/C][C]0.893358[/C][C]0.213284[/C][C]0.106642[/C][/ROW]
[ROW][C]80[/C][C]0.880295[/C][C]0.239411[/C][C]0.119705[/C][/ROW]
[ROW][C]81[/C][C]0.870432[/C][C]0.259136[/C][C]0.129568[/C][/ROW]
[ROW][C]82[/C][C]0.851681[/C][C]0.296639[/C][C]0.148319[/C][/ROW]
[ROW][C]83[/C][C]0.84849[/C][C]0.303019[/C][C]0.15151[/C][/ROW]
[ROW][C]84[/C][C]0.833352[/C][C]0.333296[/C][C]0.166648[/C][/ROW]
[ROW][C]85[/C][C]0.811864[/C][C]0.376272[/C][C]0.188136[/C][/ROW]
[ROW][C]86[/C][C]0.789818[/C][C]0.420364[/C][C]0.210182[/C][/ROW]
[ROW][C]87[/C][C]0.800442[/C][C]0.399116[/C][C]0.199558[/C][/ROW]
[ROW][C]88[/C][C]0.8022[/C][C]0.395601[/C][C]0.1978[/C][/ROW]
[ROW][C]89[/C][C]0.781911[/C][C]0.436178[/C][C]0.218089[/C][/ROW]
[ROW][C]90[/C][C]0.761684[/C][C]0.476632[/C][C]0.238316[/C][/ROW]
[ROW][C]91[/C][C]0.756764[/C][C]0.486472[/C][C]0.243236[/C][/ROW]
[ROW][C]92[/C][C]0.733496[/C][C]0.533008[/C][C]0.266504[/C][/ROW]
[ROW][C]93[/C][C]0.708681[/C][C]0.582638[/C][C]0.291319[/C][/ROW]
[ROW][C]94[/C][C]0.67797[/C][C]0.64406[/C][C]0.32203[/C][/ROW]
[ROW][C]95[/C][C]0.648554[/C][C]0.702892[/C][C]0.351446[/C][/ROW]
[ROW][C]96[/C][C]0.614138[/C][C]0.771724[/C][C]0.385862[/C][/ROW]
[ROW][C]97[/C][C]0.583581[/C][C]0.832839[/C][C]0.416419[/C][/ROW]
[ROW][C]98[/C][C]0.550333[/C][C]0.899334[/C][C]0.449667[/C][/ROW]
[ROW][C]99[/C][C]0.518023[/C][C]0.963954[/C][C]0.481977[/C][/ROW]
[ROW][C]100[/C][C]0.481852[/C][C]0.963704[/C][C]0.518148[/C][/ROW]
[ROW][C]101[/C][C]0.496645[/C][C]0.993289[/C][C]0.503355[/C][/ROW]
[ROW][C]102[/C][C]0.465694[/C][C]0.931388[/C][C]0.534306[/C][/ROW]
[ROW][C]103[/C][C]0.435809[/C][C]0.871619[/C][C]0.564191[/C][/ROW]
[ROW][C]104[/C][C]0.404479[/C][C]0.808958[/C][C]0.595521[/C][/ROW]
[ROW][C]105[/C][C]0.373984[/C][C]0.747967[/C][C]0.626016[/C][/ROW]
[ROW][C]106[/C][C]0.341749[/C][C]0.683497[/C][C]0.658251[/C][/ROW]
[ROW][C]107[/C][C]0.311919[/C][C]0.623838[/C][C]0.688081[/C][/ROW]
[ROW][C]108[/C][C]0.28541[/C][C]0.570821[/C][C]0.71459[/C][/ROW]
[ROW][C]109[/C][C]0.328505[/C][C]0.65701[/C][C]0.671495[/C][/ROW]
[ROW][C]110[/C][C]0.301845[/C][C]0.60369[/C][C]0.698155[/C][/ROW]
[ROW][C]111[/C][C]0.272356[/C][C]0.544712[/C][C]0.727644[/C][/ROW]
[ROW][C]112[/C][C]0.251424[/C][C]0.502848[/C][C]0.748576[/C][/ROW]
[ROW][C]113[/C][C]0.299113[/C][C]0.598226[/C][C]0.700887[/C][/ROW]
[ROW][C]114[/C][C]0.322165[/C][C]0.64433[/C][C]0.677835[/C][/ROW]
[ROW][C]115[/C][C]0.343423[/C][C]0.686847[/C][C]0.656577[/C][/ROW]
[ROW][C]116[/C][C]0.360018[/C][C]0.720035[/C][C]0.639982[/C][/ROW]
[ROW][C]117[/C][C]0.33662[/C][C]0.67324[/C][C]0.66338[/C][/ROW]
[ROW][C]118[/C][C]0.335746[/C][C]0.671492[/C][C]0.664254[/C][/ROW]
[ROW][C]119[/C][C]0.477879[/C][C]0.955757[/C][C]0.522121[/C][/ROW]
[ROW][C]120[/C][C]0.491908[/C][C]0.983816[/C][C]0.508092[/C][/ROW]
[ROW][C]121[/C][C]0.516243[/C][C]0.967514[/C][C]0.483757[/C][/ROW]
[ROW][C]122[/C][C]0.532425[/C][C]0.935149[/C][C]0.467575[/C][/ROW]
[ROW][C]123[/C][C]0.545692[/C][C]0.908615[/C][C]0.454308[/C][/ROW]
[ROW][C]124[/C][C]0.653286[/C][C]0.693428[/C][C]0.346714[/C][/ROW]
[ROW][C]125[/C][C]0.624445[/C][C]0.75111[/C][C]0.375555[/C][/ROW]
[ROW][C]126[/C][C]0.591353[/C][C]0.817293[/C][C]0.408647[/C][/ROW]
[ROW][C]127[/C][C]0.587939[/C][C]0.824122[/C][C]0.412061[/C][/ROW]
[ROW][C]128[/C][C]0.557663[/C][C]0.884674[/C][C]0.442337[/C][/ROW]
[ROW][C]129[/C][C]0.528658[/C][C]0.942684[/C][C]0.471342[/C][/ROW]
[ROW][C]130[/C][C]0.497057[/C][C]0.994115[/C][C]0.502943[/C][/ROW]
[ROW][C]131[/C][C]0.466459[/C][C]0.932918[/C][C]0.533541[/C][/ROW]
[ROW][C]132[/C][C]0.5051[/C][C]0.989801[/C][C]0.4949[/C][/ROW]
[ROW][C]133[/C][C]0.473883[/C][C]0.947766[/C][C]0.526117[/C][/ROW]
[ROW][C]134[/C][C]0.439367[/C][C]0.878733[/C][C]0.560633[/C][/ROW]
[ROW][C]135[/C][C]0.434778[/C][C]0.869556[/C][C]0.565222[/C][/ROW]
[ROW][C]136[/C][C]0.429741[/C][C]0.859481[/C][C]0.570259[/C][/ROW]
[ROW][C]137[/C][C]0.399414[/C][C]0.798827[/C][C]0.600586[/C][/ROW]
[ROW][C]138[/C][C]0.529435[/C][C]0.941131[/C][C]0.470565[/C][/ROW]
[ROW][C]139[/C][C]0.536626[/C][C]0.926749[/C][C]0.463374[/C][/ROW]
[ROW][C]140[/C][C]0.503274[/C][C]0.993452[/C][C]0.496726[/C][/ROW]
[ROW][C]141[/C][C]0.510141[/C][C]0.979717[/C][C]0.489859[/C][/ROW]
[ROW][C]142[/C][C]0.550564[/C][C]0.898871[/C][C]0.449436[/C][/ROW]
[ROW][C]143[/C][C]0.558201[/C][C]0.883599[/C][C]0.441799[/C][/ROW]
[ROW][C]144[/C][C]0.532125[/C][C]0.93575[/C][C]0.467875[/C][/ROW]
[ROW][C]145[/C][C]0.531368[/C][C]0.937263[/C][C]0.468632[/C][/ROW]
[ROW][C]146[/C][C]0.52873[/C][C]0.94254[/C][C]0.47127[/C][/ROW]
[ROW][C]147[/C][C]0.493685[/C][C]0.98737[/C][C]0.506315[/C][/ROW]
[ROW][C]148[/C][C]0.459668[/C][C]0.919336[/C][C]0.540332[/C][/ROW]
[ROW][C]149[/C][C]0.434743[/C][C]0.869486[/C][C]0.565257[/C][/ROW]
[ROW][C]150[/C][C]0.491845[/C][C]0.98369[/C][C]0.508155[/C][/ROW]
[ROW][C]151[/C][C]0.548057[/C][C]0.903886[/C][C]0.451943[/C][/ROW]
[ROW][C]152[/C][C]0.513142[/C][C]0.973716[/C][C]0.486858[/C][/ROW]
[ROW][C]153[/C][C]0.523727[/C][C]0.952545[/C][C]0.476273[/C][/ROW]
[ROW][C]154[/C][C]0.595714[/C][C]0.808572[/C][C]0.404286[/C][/ROW]
[ROW][C]155[/C][C]0.611123[/C][C]0.777754[/C][C]0.388877[/C][/ROW]
[ROW][C]156[/C][C]0.591797[/C][C]0.816405[/C][C]0.408203[/C][/ROW]
[ROW][C]157[/C][C]0.619918[/C][C]0.760163[/C][C]0.380082[/C][/ROW]
[ROW][C]158[/C][C]0.586252[/C][C]0.827496[/C][C]0.413748[/C][/ROW]
[ROW][C]159[/C][C]0.551394[/C][C]0.897211[/C][C]0.448606[/C][/ROW]
[ROW][C]160[/C][C]0.534237[/C][C]0.931527[/C][C]0.465763[/C][/ROW]
[ROW][C]161[/C][C]0.501386[/C][C]0.997228[/C][C]0.498614[/C][/ROW]
[ROW][C]162[/C][C]0.47702[/C][C]0.954039[/C][C]0.52298[/C][/ROW]
[ROW][C]163[/C][C]0.54803[/C][C]0.90394[/C][C]0.45197[/C][/ROW]
[ROW][C]164[/C][C]0.780282[/C][C]0.439435[/C][C]0.219718[/C][/ROW]
[ROW][C]165[/C][C]0.801134[/C][C]0.397732[/C][C]0.198866[/C][/ROW]
[ROW][C]166[/C][C]0.838234[/C][C]0.323533[/C][C]0.161766[/C][/ROW]
[ROW][C]167[/C][C]0.819018[/C][C]0.361963[/C][C]0.180982[/C][/ROW]
[ROW][C]168[/C][C]0.798031[/C][C]0.403937[/C][C]0.201969[/C][/ROW]
[ROW][C]169[/C][C]0.774633[/C][C]0.450734[/C][C]0.225367[/C][/ROW]
[ROW][C]170[/C][C]0.766753[/C][C]0.466494[/C][C]0.233247[/C][/ROW]
[ROW][C]171[/C][C]0.745639[/C][C]0.508721[/C][C]0.254361[/C][/ROW]
[ROW][C]172[/C][C]0.718212[/C][C]0.563576[/C][C]0.281788[/C][/ROW]
[ROW][C]173[/C][C]0.708953[/C][C]0.582094[/C][C]0.291047[/C][/ROW]
[ROW][C]174[/C][C]0.73762[/C][C]0.524761[/C][C]0.26238[/C][/ROW]
[ROW][C]175[/C][C]0.767854[/C][C]0.464291[/C][C]0.232146[/C][/ROW]
[ROW][C]176[/C][C]0.739394[/C][C]0.521211[/C][C]0.260606[/C][/ROW]
[ROW][C]177[/C][C]0.710592[/C][C]0.578815[/C][C]0.289408[/C][/ROW]
[ROW][C]178[/C][C]0.757928[/C][C]0.484143[/C][C]0.242072[/C][/ROW]
[ROW][C]179[/C][C]0.76494[/C][C]0.470119[/C][C]0.23506[/C][/ROW]
[ROW][C]180[/C][C]0.798354[/C][C]0.403292[/C][C]0.201646[/C][/ROW]
[ROW][C]181[/C][C]0.777867[/C][C]0.444267[/C][C]0.222133[/C][/ROW]
[ROW][C]182[/C][C]0.757322[/C][C]0.485356[/C][C]0.242678[/C][/ROW]
[ROW][C]183[/C][C]0.782638[/C][C]0.434724[/C][C]0.217362[/C][/ROW]
[ROW][C]184[/C][C]0.754014[/C][C]0.491973[/C][C]0.245986[/C][/ROW]
[ROW][C]185[/C][C]0.76999[/C][C]0.460021[/C][C]0.23001[/C][/ROW]
[ROW][C]186[/C][C]0.740384[/C][C]0.519232[/C][C]0.259616[/C][/ROW]
[ROW][C]187[/C][C]0.709139[/C][C]0.581721[/C][C]0.290861[/C][/ROW]
[ROW][C]188[/C][C]0.676319[/C][C]0.647362[/C][C]0.323681[/C][/ROW]
[ROW][C]189[/C][C]0.642412[/C][C]0.715177[/C][C]0.357588[/C][/ROW]
[ROW][C]190[/C][C]0.646826[/C][C]0.706347[/C][C]0.353174[/C][/ROW]
[ROW][C]191[/C][C]0.650904[/C][C]0.698192[/C][C]0.349096[/C][/ROW]
[ROW][C]192[/C][C]0.615593[/C][C]0.768814[/C][C]0.384407[/C][/ROW]
[ROW][C]193[/C][C]0.623043[/C][C]0.753914[/C][C]0.376957[/C][/ROW]
[ROW][C]194[/C][C]0.586632[/C][C]0.826736[/C][C]0.413368[/C][/ROW]
[ROW][C]195[/C][C]0.565636[/C][C]0.868729[/C][C]0.434364[/C][/ROW]
[ROW][C]196[/C][C]0.574607[/C][C]0.850786[/C][C]0.425393[/C][/ROW]
[ROW][C]197[/C][C]0.599608[/C][C]0.800783[/C][C]0.400392[/C][/ROW]
[ROW][C]198[/C][C]0.571257[/C][C]0.857487[/C][C]0.428743[/C][/ROW]
[ROW][C]199[/C][C]0.551006[/C][C]0.897987[/C][C]0.448994[/C][/ROW]
[ROW][C]200[/C][C]0.51217[/C][C]0.97566[/C][C]0.48783[/C][/ROW]
[ROW][C]201[/C][C]0.773032[/C][C]0.453936[/C][C]0.226968[/C][/ROW]
[ROW][C]202[/C][C]0.778895[/C][C]0.44221[/C][C]0.221105[/C][/ROW]
[ROW][C]203[/C][C]0.770929[/C][C]0.458142[/C][C]0.229071[/C][/ROW]
[ROW][C]204[/C][C]0.744456[/C][C]0.511088[/C][C]0.255544[/C][/ROW]
[ROW][C]205[/C][C]0.717287[/C][C]0.565425[/C][C]0.282713[/C][/ROW]
[ROW][C]206[/C][C]0.721427[/C][C]0.557145[/C][C]0.278573[/C][/ROW]
[ROW][C]207[/C][C]0.7822[/C][C]0.4356[/C][C]0.2178[/C][/ROW]
[ROW][C]208[/C][C]0.804707[/C][C]0.390586[/C][C]0.195293[/C][/ROW]
[ROW][C]209[/C][C]0.785283[/C][C]0.429434[/C][C]0.214717[/C][/ROW]
[ROW][C]210[/C][C]0.762384[/C][C]0.475231[/C][C]0.237616[/C][/ROW]
[ROW][C]211[/C][C]0.837711[/C][C]0.324577[/C][C]0.162289[/C][/ROW]
[ROW][C]212[/C][C]0.84015[/C][C]0.3197[/C][C]0.15985[/C][/ROW]
[ROW][C]213[/C][C]0.815158[/C][C]0.369683[/C][C]0.184842[/C][/ROW]
[ROW][C]214[/C][C]0.843719[/C][C]0.312561[/C][C]0.156281[/C][/ROW]
[ROW][C]215[/C][C]0.840374[/C][C]0.319252[/C][C]0.159626[/C][/ROW]
[ROW][C]216[/C][C]0.815315[/C][C]0.36937[/C][C]0.184685[/C][/ROW]
[ROW][C]217[/C][C]0.789753[/C][C]0.420493[/C][C]0.210247[/C][/ROW]
[ROW][C]218[/C][C]0.852848[/C][C]0.294303[/C][C]0.147152[/C][/ROW]
[ROW][C]219[/C][C]0.876381[/C][C]0.247238[/C][C]0.123619[/C][/ROW]
[ROW][C]220[/C][C]0.852846[/C][C]0.294308[/C][C]0.147154[/C][/ROW]
[ROW][C]221[/C][C]0.839588[/C][C]0.320824[/C][C]0.160412[/C][/ROW]
[ROW][C]222[/C][C]0.879394[/C][C]0.241212[/C][C]0.120606[/C][/ROW]
[ROW][C]223[/C][C]0.854119[/C][C]0.291761[/C][C]0.145881[/C][/ROW]
[ROW][C]224[/C][C]0.830884[/C][C]0.338232[/C][C]0.169116[/C][/ROW]
[ROW][C]225[/C][C]0.866215[/C][C]0.267571[/C][C]0.133785[/C][/ROW]
[ROW][C]226[/C][C]0.912614[/C][C]0.174773[/C][C]0.0873864[/C][/ROW]
[ROW][C]227[/C][C]0.903594[/C][C]0.192812[/C][C]0.0964059[/C][/ROW]
[ROW][C]228[/C][C]0.897185[/C][C]0.205629[/C][C]0.102815[/C][/ROW]
[ROW][C]229[/C][C]0.875478[/C][C]0.249044[/C][C]0.124522[/C][/ROW]
[ROW][C]230[/C][C]0.879107[/C][C]0.241785[/C][C]0.120893[/C][/ROW]
[ROW][C]231[/C][C]0.908495[/C][C]0.18301[/C][C]0.0915051[/C][/ROW]
[ROW][C]232[/C][C]0.906804[/C][C]0.186391[/C][C]0.0931955[/C][/ROW]
[ROW][C]233[/C][C]0.890532[/C][C]0.218936[/C][C]0.109468[/C][/ROW]
[ROW][C]234[/C][C]0.94371[/C][C]0.11258[/C][C]0.0562898[/C][/ROW]
[ROW][C]235[/C][C]0.928455[/C][C]0.143089[/C][C]0.0715447[/C][/ROW]
[ROW][C]236[/C][C]0.950964[/C][C]0.0980728[/C][C]0.0490364[/C][/ROW]
[ROW][C]237[/C][C]0.989036[/C][C]0.0219284[/C][C]0.0109642[/C][/ROW]
[ROW][C]238[/C][C]0.986243[/C][C]0.0275135[/C][C]0.0137568[/C][/ROW]
[ROW][C]239[/C][C]0.986333[/C][C]0.0273346[/C][C]0.0136673[/C][/ROW]
[ROW][C]240[/C][C]0.982078[/C][C]0.0358443[/C][C]0.0179221[/C][/ROW]
[ROW][C]241[/C][C]0.974309[/C][C]0.0513815[/C][C]0.0256908[/C][/ROW]
[ROW][C]242[/C][C]0.974792[/C][C]0.0504169[/C][C]0.0252084[/C][/ROW]
[ROW][C]243[/C][C]0.96658[/C][C]0.0668403[/C][C]0.0334201[/C][/ROW]
[ROW][C]244[/C][C]0.966025[/C][C]0.0679506[/C][C]0.0339753[/C][/ROW]
[ROW][C]245[/C][C]0.96275[/C][C]0.0745005[/C][C]0.0372503[/C][/ROW]
[ROW][C]246[/C][C]0.949417[/C][C]0.101165[/C][C]0.0505827[/C][/ROW]
[ROW][C]247[/C][C]0.984853[/C][C]0.0302948[/C][C]0.0151474[/C][/ROW]
[ROW][C]248[/C][C]0.977783[/C][C]0.0444338[/C][C]0.0222169[/C][/ROW]
[ROW][C]249[/C][C]0.969495[/C][C]0.0610096[/C][C]0.0305048[/C][/ROW]
[ROW][C]250[/C][C]0.970925[/C][C]0.0581502[/C][C]0.0290751[/C][/ROW]
[ROW][C]251[/C][C]0.98353[/C][C]0.03294[/C][C]0.01647[/C][/ROW]
[ROW][C]252[/C][C]0.973936[/C][C]0.0521276[/C][C]0.0260638[/C][/ROW]
[ROW][C]253[/C][C]0.96041[/C][C]0.079181[/C][C]0.0395905[/C][/ROW]
[ROW][C]254[/C][C]0.94341[/C][C]0.113181[/C][C]0.0565903[/C][/ROW]
[ROW][C]255[/C][C]0.991083[/C][C]0.0178339[/C][C]0.00891693[/C][/ROW]
[ROW][C]256[/C][C]0.990994[/C][C]0.0180121[/C][C]0.00900605[/C][/ROW]
[ROW][C]257[/C][C]0.985546[/C][C]0.0289087[/C][C]0.0144544[/C][/ROW]
[ROW][C]258[/C][C]0.973171[/C][C]0.0536572[/C][C]0.0268286[/C][/ROW]
[ROW][C]259[/C][C]0.953412[/C][C]0.0931764[/C][C]0.0465882[/C][/ROW]
[ROW][C]260[/C][C]0.961043[/C][C]0.0779141[/C][C]0.038957[/C][/ROW]
[ROW][C]261[/C][C]0.966928[/C][C]0.0661446[/C][C]0.0330723[/C][/ROW]
[ROW][C]262[/C][C]0.935457[/C][C]0.129087[/C][C]0.0645433[/C][/ROW]
[ROW][C]263[/C][C]0.892795[/C][C]0.214409[/C][C]0.107205[/C][/ROW]
[ROW][C]264[/C][C]0.905795[/C][C]0.188411[/C][C]0.0942053[/C][/ROW]
[ROW][C]265[/C][C]0.935785[/C][C]0.128431[/C][C]0.0642153[/C][/ROW]
[ROW][C]266[/C][C]0.852138[/C][C]0.295723[/C][C]0.147862[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267065&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267065&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
110.04455290.08910580.955447
120.2391710.4783420.760829
130.1885530.3771070.811447
140.1242140.2484290.875786
150.3018080.6036150.698192
160.5028150.9943690.497185
170.4483040.8966090.551696
180.362070.724140.63793
190.3969480.7938960.603052
200.3162110.6324220.683789
210.2473240.4946480.752676
220.2654950.530990.734505
230.5509610.8980780.449039
240.6301520.7396970.369848
250.6040680.7918630.395932
260.6599060.6801880.340094
270.6248870.7502270.375113
280.7131130.5737740.286887
290.6571440.6857130.342856
300.6502450.6995110.349755
310.7472330.5055340.252767
320.7176290.5647420.282371
330.6653760.6692490.334624
340.6177580.7644840.382242
350.5926250.8147490.407375
360.574450.8511010.42555
370.5236030.9527950.476397
380.4845170.9690350.515483
390.4694580.9389170.530542
400.4653240.9306470.534676
410.4593430.9186860.540657
420.4108430.8216860.589157
430.3778170.7556340.622183
440.346550.69310.65345
450.5118620.9762760.488138
460.5457980.9084030.454202
470.5262330.9475340.473767
480.5805770.8388460.419423
490.5672160.8655670.432784
500.5799770.8400450.420023
510.5376380.9247240.462362
520.6459940.7080110.354006
530.6177360.7645280.382264
540.5850740.8298520.414926
550.5445990.9108020.455401
560.5004380.9991230.499562
570.4660040.9320080.533996
580.4604060.9208130.539594
590.563720.872560.43628
600.5361270.9277460.463873
610.54510.90980.4549
620.5629530.8740930.437047
630.5291930.9416140.470807
640.6794650.641070.320535
650.7753080.4493830.224692
660.7890540.4218930.210946
670.8246020.3507960.175398
680.9022930.1954130.0977065
690.9281610.1436770.0718386
700.9184940.1630120.0815062
710.9290570.1418860.0709429
720.9160860.1678270.0839137
730.9194280.1611440.0805719
740.9127830.1744330.0872165
750.9050920.1898160.0949078
760.9070110.1859780.0929892
770.8905210.2189580.109479
780.8814240.2371520.118576
790.8933580.2132840.106642
800.8802950.2394110.119705
810.8704320.2591360.129568
820.8516810.2966390.148319
830.848490.3030190.15151
840.8333520.3332960.166648
850.8118640.3762720.188136
860.7898180.4203640.210182
870.8004420.3991160.199558
880.80220.3956010.1978
890.7819110.4361780.218089
900.7616840.4766320.238316
910.7567640.4864720.243236
920.7334960.5330080.266504
930.7086810.5826380.291319
940.677970.644060.32203
950.6485540.7028920.351446
960.6141380.7717240.385862
970.5835810.8328390.416419
980.5503330.8993340.449667
990.5180230.9639540.481977
1000.4818520.9637040.518148
1010.4966450.9932890.503355
1020.4656940.9313880.534306
1030.4358090.8716190.564191
1040.4044790.8089580.595521
1050.3739840.7479670.626016
1060.3417490.6834970.658251
1070.3119190.6238380.688081
1080.285410.5708210.71459
1090.3285050.657010.671495
1100.3018450.603690.698155
1110.2723560.5447120.727644
1120.2514240.5028480.748576
1130.2991130.5982260.700887
1140.3221650.644330.677835
1150.3434230.6868470.656577
1160.3600180.7200350.639982
1170.336620.673240.66338
1180.3357460.6714920.664254
1190.4778790.9557570.522121
1200.4919080.9838160.508092
1210.5162430.9675140.483757
1220.5324250.9351490.467575
1230.5456920.9086150.454308
1240.6532860.6934280.346714
1250.6244450.751110.375555
1260.5913530.8172930.408647
1270.5879390.8241220.412061
1280.5576630.8846740.442337
1290.5286580.9426840.471342
1300.4970570.9941150.502943
1310.4664590.9329180.533541
1320.50510.9898010.4949
1330.4738830.9477660.526117
1340.4393670.8787330.560633
1350.4347780.8695560.565222
1360.4297410.8594810.570259
1370.3994140.7988270.600586
1380.5294350.9411310.470565
1390.5366260.9267490.463374
1400.5032740.9934520.496726
1410.5101410.9797170.489859
1420.5505640.8988710.449436
1430.5582010.8835990.441799
1440.5321250.935750.467875
1450.5313680.9372630.468632
1460.528730.942540.47127
1470.4936850.987370.506315
1480.4596680.9193360.540332
1490.4347430.8694860.565257
1500.4918450.983690.508155
1510.5480570.9038860.451943
1520.5131420.9737160.486858
1530.5237270.9525450.476273
1540.5957140.8085720.404286
1550.6111230.7777540.388877
1560.5917970.8164050.408203
1570.6199180.7601630.380082
1580.5862520.8274960.413748
1590.5513940.8972110.448606
1600.5342370.9315270.465763
1610.5013860.9972280.498614
1620.477020.9540390.52298
1630.548030.903940.45197
1640.7802820.4394350.219718
1650.8011340.3977320.198866
1660.8382340.3235330.161766
1670.8190180.3619630.180982
1680.7980310.4039370.201969
1690.7746330.4507340.225367
1700.7667530.4664940.233247
1710.7456390.5087210.254361
1720.7182120.5635760.281788
1730.7089530.5820940.291047
1740.737620.5247610.26238
1750.7678540.4642910.232146
1760.7393940.5212110.260606
1770.7105920.5788150.289408
1780.7579280.4841430.242072
1790.764940.4701190.23506
1800.7983540.4032920.201646
1810.7778670.4442670.222133
1820.7573220.4853560.242678
1830.7826380.4347240.217362
1840.7540140.4919730.245986
1850.769990.4600210.23001
1860.7403840.5192320.259616
1870.7091390.5817210.290861
1880.6763190.6473620.323681
1890.6424120.7151770.357588
1900.6468260.7063470.353174
1910.6509040.6981920.349096
1920.6155930.7688140.384407
1930.6230430.7539140.376957
1940.5866320.8267360.413368
1950.5656360.8687290.434364
1960.5746070.8507860.425393
1970.5996080.8007830.400392
1980.5712570.8574870.428743
1990.5510060.8979870.448994
2000.512170.975660.48783
2010.7730320.4539360.226968
2020.7788950.442210.221105
2030.7709290.4581420.229071
2040.7444560.5110880.255544
2050.7172870.5654250.282713
2060.7214270.5571450.278573
2070.78220.43560.2178
2080.8047070.3905860.195293
2090.7852830.4294340.214717
2100.7623840.4752310.237616
2110.8377110.3245770.162289
2120.840150.31970.15985
2130.8151580.3696830.184842
2140.8437190.3125610.156281
2150.8403740.3192520.159626
2160.8153150.369370.184685
2170.7897530.4204930.210247
2180.8528480.2943030.147152
2190.8763810.2472380.123619
2200.8528460.2943080.147154
2210.8395880.3208240.160412
2220.8793940.2412120.120606
2230.8541190.2917610.145881
2240.8308840.3382320.169116
2250.8662150.2675710.133785
2260.9126140.1747730.0873864
2270.9035940.1928120.0964059
2280.8971850.2056290.102815
2290.8754780.2490440.124522
2300.8791070.2417850.120893
2310.9084950.183010.0915051
2320.9068040.1863910.0931955
2330.8905320.2189360.109468
2340.943710.112580.0562898
2350.9284550.1430890.0715447
2360.9509640.09807280.0490364
2370.9890360.02192840.0109642
2380.9862430.02751350.0137568
2390.9863330.02733460.0136673
2400.9820780.03584430.0179221
2410.9743090.05138150.0256908
2420.9747920.05041690.0252084
2430.966580.06684030.0334201
2440.9660250.06795060.0339753
2450.962750.07450050.0372503
2460.9494170.1011650.0505827
2470.9848530.03029480.0151474
2480.9777830.04443380.0222169
2490.9694950.06100960.0305048
2500.9709250.05815020.0290751
2510.983530.032940.01647
2520.9739360.05212760.0260638
2530.960410.0791810.0395905
2540.943410.1131810.0565903
2550.9910830.01783390.00891693
2560.9909940.01801210.00900605
2570.9855460.02890870.0144544
2580.9731710.05365720.0268286
2590.9534120.09317640.0465882
2600.9610430.07791410.038957
2610.9669280.06614460.0330723
2620.9354570.1290870.0645433
2630.8927950.2144090.107205
2640.9057950.1884110.0942053
2650.9357850.1284310.0642153
2660.8521380.2957230.147862






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level100.0390625OK
10% type I error level250.0976562OK

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
Description & # significant tests & % significant tests & OK/NOK \tabularnewline
1% type I error level & 0 & 0 & OK \tabularnewline
5% type I error level & 10 & 0.0390625 & OK \tabularnewline
10% type I error level & 25 & 0.0976562 & OK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267065&T=6

[TABLE]
[ROW][C]Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]Description[/C][C]# significant tests[/C][C]% significant tests[/C][C]OK/NOK[/C][/ROW]
[ROW][C]1% type I error level[/C][C]0[/C][C]0[/C][C]OK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]10[/C][C]0.0390625[/C][C]OK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]25[/C][C]0.0976562[/C][C]OK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267065&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267065&T=6

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


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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level100.0390625OK
10% type I error level250.0976562OK


Figures (Output of Computation)

Figure 1
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Figure 2
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Figure 4
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Figure 5
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Figure 6
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Figure 7
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Figure 8
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Figure 9
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Figure 10
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Input Parameters & R Code

Parameters (Session):
par1 = 7 ; par2 = Do not include Seasonal Dummies ; par3 = Linear Trend ;
Parameters (R input):
par1 = 7 ; par2 = Do not include Seasonal Dummies ; par3 = 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')
}