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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 computationSun, 09 Nov 2014 14:34:38 +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/Nov/09/t1415544028yifc9578wam2hq6.htm/, Retrieved Sun, 19 May 2024 15:54:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=253187, Retrieved Sun, 19 May 2024 15:54:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact118

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [] [2014-11-09 14:34:38] [f235c2d73cdbd6a2c0ce149cb9653e7d] [Current]
- R PD    [Multiple Regression] [] [2014-12-16 16:07:27] [67894a4ff6098ffac356bc81e6028257]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
41 38 13 12 14 12 32
39 32 16 11 18 11 51
30 35 19 15 11 14 42
31 33 15 6 12 12 41
34 37 14 13 16 21 46
35 29 13 10 18 12 47
39 31 19 12 14 22 37
34 36 15 14 14 11 49
36 35 14 12 15 10 45
37 38 15 9 15 13 47
38 31 16 10 17 10 49
36 34 16 12 19 8 33
38 35 16 12 10 15 42
39 38 16 11 16 14 33
33 37 17 15 18 10 53
32 33 15 12 14 14 36
36 32 15 10 14 14 45
38 38 20 12 17 11 54
39 38 18 11 14 10 41
32 32 16 12 16 13 36
32 33 16 11 18 9.5 41
31 31 16 12 11 14 44
39 38 19 13 14 12 33
37 39 16 11 12 14 37
39 32 17 12 17 11 52
41 32 17 13 9 9 47
36 35 16 10 16 11 43
33 37 15 14 14 15 44
33 33 16 12 15 14 45
34 33 14 10 11 13 44
31 31 15 12 16 9 49
27 32 12 8 13 15 33
37 31 14 10 17 10 43
34 37 16 12 15 11 54
34 30 14 12 14 13 42
32 33 10 7 16 8 44
29 31 10 9 9 20 37
36 33 14 12 15 12 43
29 31 16 10 17 10 46
35 33 16 10 13 10 42
37 32 16 10 15 9 45
34 33 14 12 16 14 44
38 32 20 15 16 8 33
35 33 14 10 12 14 31
38 28 14 10 15 11 42
37 35 11 12 11 13 40
38 39 14 13 15 9 43
33 34 15 11 15 11 46
36 38 16 11 17 15 42
38 32 14 12 13 11 45
32 38 16 14 16 10 44
32 30 14 10 14 14 40
32 33 12 12 11 18 37
34 38 16 13 12 14 46
32 32 9 5 12 11 36
37 35 14 6 15 14.5 47
39 34 16 12 16 13 45
29 34 16 12 15 9 42
37 36 15 11 12 10 43
35 34 16 10 12 15 43
30 28 12 7 8 20 32
38 34 16 12 13 12 45
34 35 16 14 11 12 48
31 35 14 11 14 14 31
34 31 16 12 15 13 33
35 37 17 13 10 11 49
36 35 18 14 11 17 42
30 27 18 11 12 12 41
39 40 12 12 15 13 38
35 37 16 12 15 14 42
38 36 10 8 14 13 44
31 38 14 11 16 15 33
34 39 18 14 15 13 48
38 41 18 14 15 10 40
34 27 16 12 13 11 50
39 30 17 9 12 19 49
37 37 16 13 17 13 43
34 31 16 11 13 17 44
28 31 13 12 15 13 47
37 27 16 12 13 9 33
33 36 16 12 15 11 46
35 37 16 12 15 9 45
37 33 15 12 16 12 43
32 34 15 11 15 12 44
33 31 16 10 14 13 47
38 39 14 9 15 13 45
33 34 16 12 14 12 42
29 32 16 12 13 15 33
33 33 15 12 7 22 43
31 36 12 9 17 13 46
36 32 17 15 13 15 33
35 41 16 12 15 13 46
32 28 15 12 14 15 48
29 30 13 12 13 12.5 47
39 36 16 10 16 11 47
37 35 16 13 12 16 43
35 31 16 9 14 11 46
37 34 16 12 17 11 48
32 36 14 10 15 10 46
38 36 16 14 17 10 45
37 35 16 11 12 16 45
36 37 20 15 16 12 52
32 28 15 11 11 11 42
33 39 16 11 15 16 47
40 32 13 12 9 19 41
38 35 17 12 16 11 47
41 39 16 12 15 16 43
36 35 16 11 10 15 33
43 42 12 7 10 24 30
30 34 16 12 15 14 52
31 33 16 14 11 15 44
32 41 17 11 13 11 55
32 33 13 11 14 15 11
37 34 12 10 18 12 47
37 32 18 13 16 10 53
33 40 14 13 14 14 33
34 40 14 8 14 13 44
33 35 13 11 14 9 42
38 36 16 12 14 15 55
33 37 13 11 12 15 33
31 27 16 13 14 14 46
38 39 13 12 15 11 54
37 38 16 14 15 8 47
36 31 15 13 15 11 45
31 33 16 15 13 11 47
39 32 15 10 17 8 55
44 39 17 11 17 10 44
33 36 15 9 19 11 53
35 33 12 11 15 13 44
32 33 16 10 13 11 42
28 32 10 11 9 20 40
40 37 16 8 15 10 46
27 30 12 11 15 15 40
37 38 14 12 15 12 46
32 29 15 12 16 14 53
28 22 13 9 11 23 33
34 35 15 11 14 14 42
30 35 11 10 11 16 35
35 34 12 8 15 11 40
31 35 11 9 13 12 41
32 34 16 8 15 10 33
30 37 15 9 16 14 51
30 35 17 15 14 12 53
31 23 16 11 15 12 46
40 31 10 8 16 11 55
32 27 18 13 16 12 47
36 36 13 12 11 13 38
32 31 16 12 12 11 46
35 32 13 9 9 19 46
38 39 10 7 16 12 53
42 37 15 13 13 17 47
34 38 16 9 16 9 41
35 39 16 6 12 12 44
38 34 14 8 9 19 43
33 31 10 8 13 18 51
36 32 17 15 13 15 33
32 37 13 6 14 14 43
33 36 15 9 19 11 53
34 32 16 11 13 9 51
32 38 12 8 12 18 50
34 36 13 8 13 16 46
27 26 13 10 10 24 43
31 26 12 8 14 14 47
38 33 17 14 16 20 50
34 39 15 10 10 18 43
24 30 10 8 11 23 33
30 33 14 11 14 12 48
26 25 11 12 12 14 44
34 38 13 12 9 16 50
27 37 16 12 9 18 41
37 31 12 5 11 20 34
36 37 16 12 16 12 44
41 35 12 10 9 12 47
29 25 9 7 13 17 35
36 28 12 12 16 13 44
32 35 15 11 13 9 44
37 33 12 8 9 16 43
30 30 12 9 12 18 41
31 31 14 10 16 10 41
38 37 12 9 11 14 42
36 36 16 12 14 11 33
35 30 11 6 13 9 41
31 36 19 15 15 11 44
38 32 15 12 14 10 48
22 28 8 12 16 11 55
32 36 16 12 13 19 44
36 34 17 11 14 14 43
39 31 12 7 15 12 52
28 28 11 7 13 14 30
32 36 11 5 11 21 39
32 36 14 12 11 13 11
38 40 16 12 14 10 44
32 33 12 3 15 15 42
35 37 16 11 11 16 41
32 32 13 10 15 14 44
37 38 15 12 12 12 44
34 31 16 9 14 19 48
33 37 16 12 14 15 53
33 33 14 9 8 19 37
26 32 16 12 13 13 44
30 30 16 12 9 17 44
24 30 14 10 15 12 40
34 31 11 9 17 11 42
34 32 12 12 13 14 35
33 34 15 8 15 11 43
34 36 15 11 15 13 45
35 37 16 11 14 12 55
35 36 16 12 16 15 31
36 33 11 10 13 14 44
34 33 15 10 16 12 50
34 33 12 12 9 17 40
41 44 12 12 16 11 53
32 39 15 11 11 18 54
30 32 15 8 10 13 49
35 35 16 12 11 17 40
28 25 14 10 15 13 41
33 35 17 11 17 11 52
39 34 14 10 14 12 52
36 35 13 8 8 22 36
36 39 15 12 15 14 52
35 33 13 12 11 12 46
38 36 14 10 16 12 31
33 32 15 12 10 17 44
31 32 12 9 15 9 44
34 36 13 9 9 21 11
32 36 8 6 16 10 46
31 32 14 10 19 11 33
33 34 14 9 12 12 34
34 33 11 9 8 23 42
34 35 12 9 11 13 43
34 30 13 6 14 12 43
33 38 10 10 9 16 44
32 34 16 6 15 9 36
41 33 18 14 13 17 46
34 32 13 10 16 9 44
36 31 11 10 11 14 43
37 30 4 6 12 17 50
36 27 13 12 13 13 33
29 31 16 12 10 11 43
37 30 10 7 11 12 44
27 32 12 8 12 10 53
35 35 12 11 8 19 34
28 28 10 3 12 16 35
35 33 13 6 12 16 40
37 31 15 10 15 14 53
29 35 12 8 11 20 42
32 35 14 9 13 15 43
36 32 10 9 14 23 29
19 21 12 8 10 20 36
21 20 12 9 12 16 30
31 34 11 7 15 14 42
33 32 10 7 13 17 47
36 34 12 6 13 11 44
33 32 16 9 13 13 45
37 33 12 10 12 17 44
34 33 14 11 12 15 43
35 37 16 12 9 21 43
31 32 14 8 9 18 40
37 34 13 11 15 15 41
35 30 4 3 10 8 52
27 30 15 11 14 12 38
34 38 11 12 15 12 41
40 36 11 7 7 22 39
29 32 14 9 14 12 43

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'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253187&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253187&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253187&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Multiple Linear Regression - Estimated Regression Equation
Learning[t] = + 3.99095 + 0.0459936Connected[t] + 0.0420035Separate[t] + 0.608434Software[t] + 0.0989466Happiness[t] -0.0423501Depression[t] + 0.00303163Sport2[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Learning[t] =  +  3.99095 +  0.0459936Connected[t] +  0.0420035Separate[t] +  0.608434Software[t] +  0.0989466Happiness[t] -0.0423501Depression[t] +  0.00303163Sport2[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253187&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Learning[t] =  +  3.99095 +  0.0459936Connected[t] +  0.0420035Separate[t] +  0.608434Software[t] +  0.0989466Happiness[t] -0.0423501Depression[t] +  0.00303163Sport2[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253187&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253187&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
Learning[t] = + 3.99095 + 0.0459936Connected[t] + 0.0420035Separate[t] + 0.608434Software[t] + 0.0989466Happiness[t] -0.0423501Depression[t] + 0.00303163Sport2[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)3.990951.847222.1610.03165640.0158282
Connected0.04599360.03465771.3270.1856590.0928294
Separate0.04200350.03559131.180.2390260.119513
Software0.6084340.051703911.777.3721e-263.68605e-26
Happiness0.09894660.05786491.710.08848080.0442404
Depression-0.04235010.0418958-1.0110.3130420.156521
Sport20.003031630.01784530.16990.8652350.432617

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Ordinary Least Squares \tabularnewline
Variable & Parameter & S.D. & T-STATH0: parameter = 0 & 2-tail p-value & 1-tail p-value \tabularnewline
(Intercept) & 3.99095 & 1.84722 & 2.161 & 0.0316564 & 0.0158282 \tabularnewline
Connected & 0.0459936 & 0.0346577 & 1.327 & 0.185659 & 0.0928294 \tabularnewline
Separate & 0.0420035 & 0.0355913 & 1.18 & 0.239026 & 0.119513 \tabularnewline
Software & 0.608434 & 0.0517039 & 11.77 & 7.3721e-26 & 3.68605e-26 \tabularnewline
Happiness & 0.0989466 & 0.0578649 & 1.71 & 0.0884808 & 0.0442404 \tabularnewline
Depression & -0.0423501 & 0.0418958 & -1.011 & 0.313042 & 0.156521 \tabularnewline
Sport2 & 0.00303163 & 0.0178453 & 0.1699 & 0.865235 & 0.432617 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253187&T=2

[TABLE]
[ROW][C]Multiple Linear Regression - Ordinary Least Squares[/C][/ROW]
[ROW][C]Variable[/C][C]Parameter[/C][C]S.D.[/C][C]T-STATH0: parameter = 0[/C][C]2-tail p-value[/C][C]1-tail p-value[/C][/ROW]
[ROW][C](Intercept)[/C][C]3.99095[/C][C]1.84722[/C][C]2.161[/C][C]0.0316564[/C][C]0.0158282[/C][/ROW]
[ROW][C]Connected[/C][C]0.0459936[/C][C]0.0346577[/C][C]1.327[/C][C]0.185659[/C][C]0.0928294[/C][/ROW]
[ROW][C]Separate[/C][C]0.0420035[/C][C]0.0355913[/C][C]1.18[/C][C]0.239026[/C][C]0.119513[/C][/ROW]
[ROW][C]Software[/C][C]0.608434[/C][C]0.0517039[/C][C]11.77[/C][C]7.3721e-26[/C][C]3.68605e-26[/C][/ROW]
[ROW][C]Happiness[/C][C]0.0989466[/C][C]0.0578649[/C][C]1.71[/C][C]0.0884808[/C][C]0.0442404[/C][/ROW]
[ROW][C]Depression[/C][C]-0.0423501[/C][C]0.0418958[/C][C]-1.011[/C][C]0.313042[/C][C]0.156521[/C][/ROW]
[ROW][C]Sport2[/C][C]0.00303163[/C][C]0.0178453[/C][C]0.1699[/C][C]0.865235[/C][C]0.432617[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253187&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253187&T=2

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


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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)3.990951.847222.1610.03165640.0158282
Connected0.04599360.03465771.3270.1856590.0928294
Separate0.04200350.03559131.180.2390260.119513
Software0.6084340.051703911.777.3721e-263.68605e-26
Happiness0.09894660.05786491.710.08848080.0442404
Depression-0.04235010.0418958-1.0110.3130420.156521
Sport20.003031630.01784530.16990.8652350.432617






Multiple Linear Regression - Regression Statistics
Multiple R0.653093
R-squared0.426531
Adjusted R-squared0.413142
F-TEST (value)31.8582
F-TEST (DF numerator)6
F-TEST (DF denominator)257
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.88144
Sum Squared Residuals909.731

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.653093 \tabularnewline
R-squared & 0.426531 \tabularnewline
Adjusted R-squared & 0.413142 \tabularnewline
F-TEST (value) & 31.8582 \tabularnewline
F-TEST (DF numerator) & 6 \tabularnewline
F-TEST (DF denominator) & 257 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 1.88144 \tabularnewline
Sum Squared Residuals & 909.731 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253187&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.653093[/C][/ROW]
[ROW][C]R-squared[/C][C]0.426531[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.413142[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]31.8582[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]6[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]257[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]1.88144[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]909.731[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253187&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253187&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 R0.653093
R-squared0.426531
Adjusted R-squared0.413142
F-TEST (value)31.8582
F-TEST (DF numerator)6
F-TEST (DF denominator)257
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.88144
Sum Squared Residuals909.731






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
11315.7481-2.7481
21615.29140.708608
31916.59022.40977
41511.25693.74307
51415.8518-1.85176
61314.3185-1.3185
71914.95374.04626
81516.6529-1.65289
91415.6152-1.61518
101513.84091.15911
111614.53231.4677
121616.0173-0.0172798
131614.99161.00841
141615.16390.836099
151717.7076-0.707597
161515.0516-0.0515635
171514.0040.996049
182016.0163.984
191815.15972.84034
201615.24980.750197
211615.04460.955351
221614.6491.35102
231916.26762.73242
241614.73031.26974
251715.80391.19609
261715.78231.2177
271614.44881.55116
281516.4643-1.46434
291615.22380.776212
301413.69640.303554
311515.3706-0.370617
321212.1955-0.195465
331414.4681-0.468118
341615.59210.407869
351415.0781-1.07808
361012.4856-2.48564
371012.2585-2.25847
381415.4404-1.44041
391614.10931.89074
401614.06131.93868
411614.36061.63936
421415.3657-1.3657
432017.55372.44628
441413.75960.240375
451414.1448-0.144826
461115.1232-4.12318
471416.5199-2.5199
481514.78740.21256
491615.10980.890199
501415.3409-1.34091
511616.87-0.869995
521413.72080.279188
531214.5884-2.58836
541615.79440.205575
55910.6797-1.67968
561411.82612.17394
571615.68310.31695
581615.28450.715527
591514.79180.208163
601613.79572.20434
611210.84751.15252
621615.38260.617433
631616.2687-0.268665
641414.466-0.465985
651615.19170.808255
661715.73671.26333
671816.13071.86929
681814.00113.99891
691215.8149-3.8149
701615.47470.525305
711013.0864-3.0864
721414.7536-0.753602
731816.79011.20988
741817.16090.839105
751614.96211.03792
761713.0523.94803
771616.4184-0.418391
781614.24941.75063
791314.9582-1.95823
801615.13320.866781
811615.47990.520119
821615.69550.30446
831515.5853-0.585346
841514.6930.306967
851613.87242.12762
861413.92280.0771738
871615.24250.757549
881614.72121.27881
891514.08740.912648
901213.6758-1.67578
911716.86840.131555
921615.69720.302814
931514.83560.164425
941314.7855-1.7855
951614.6411.35905
961615.71260.287399
971613.43762.5624
981615.78380.216195
991414.2594-0.259369
1001617.1639-1.16393
1011614.50181.4982
1022017.562.44005
1031514.08150.918488
1041614.78871.21126
1051314.6862-1.68618
1061715.76981.23018
1071615.7530.247005
1081614.26391.73612
1091212.0559-0.0558795
1101615.1490.850968
1111615.90750.0924992
1121714.86492.13514
1131314.325-1.32499
1141214.6205-2.6205
1151816.26681.73321
1161415.9909-1.99092
1171413.07040.929557
1181314.8031-1.80307
1191615.46880.531213
1201314.4078-1.4078
1211615.39230.607701
1221315.8601-2.86011
1231617.0948-1.09481
1241516.0132-1.01325
1251616.8923-0.892323
1261514.72320.276811
1271715.73761.26243
1281514.07160.928413
1291214.7467-2.74666
1301613.8812.11901
1311013.4804-3.48044
1321613.45252.54755
1331214.1559-2.15587
1341415.7055-1.70551
1351515.133-0.13298
1361311.89321.10684
1371514.63730.362686
1381113.4421-2.44214
1391213.0359-1.03594
1401113.2652-2.26519
1411612.91913.08092
1421513.54571.45434
1431717.0051-0.00512259
1441614.19111.80894
1451013.2843-3.28431
1461815.72392.27608
1471315.1131-2.11312
1481614.9271.07297
1491312.64610.353927
1501012.8715-2.87151
1511516.0953-1.0953
1521613.95312.04693
1531611.7024.29798
1541412.25051.74947
1551012.3569-2.35694
1561716.86840.131555
1571311.59021.4098
1581514.07160.928413
1591614.65141.34861
1601212.503-0.502995
1611312.68250.317504
1621312.51260.487363
1631212.3112-0.311158
1641716.53060.469372
1651513.63471.36526
1661011.4368-1.43678
1671414.4722-0.472222
1681114.2659-3.26593
1691314.8166-1.81658
1701614.34061.65937
1711210.38151.61852
1721615.71040.289602
1731213.956-1.95596
174911.3064-2.30636
1751215.29-3.29002
1761514.66420.335807
1771212.2896-0.289585
1781212.6561-0.656129
1791414.0871-0.0871466
1801213.3916-1.39159
1811615.47950.520496
1821111.5409-0.540893
1831917.20711.79287
1841515.4913-0.491302
185814.7642-6.76415
1861614.89111.10887
1871714.69032.30967
1881212.4795-0.479495
1891111.4983-0.498266
1901110.33430.665658
1911414.8473-0.847294
1921615.81520.184797
193129.650452.34955
1941614.38271.61726
1951313.9159-0.915892
1961515.4026-0.402609
1971613.05892.94113
1981615.27480.725241
1991412.46991.53014
2001614.70131.29875
2011614.2361.76396
2021413.53650.463491
2031113.6763-2.67632
2041214.9996-2.99957
2051512.9532.04696
2061514.82970.170291
2071614.89141.10857
2081615.45590.54406
2091113.944-2.94398
2101514.25170.748281
2111214.5339-2.53389
2121216.304-4.30403
2131514.28350.71652
2141512.16982.83019
2151614.86181.13821
2161413.47110.528852
2171715.04551.95447
2181414.3319-0.331861
2191311.95331.04667
2201515.635-0.635012
2211315.0077-2.00772
2221414.5041-0.504103
2231514.5570.44303
2241213.4732-1.47321
2251312.57730.422714
226811.9246-3.92458
2271414.3594-0.359387
2281413.1950.804997
2291112.3616-1.36161
2301213.169-1.16899
2311311.47291.52714
2321013.5355-3.53553
2331611.75374.24634
2341816.48671.51331
2351314.3186-1.31858
2361113.659-2.65904
237411.2224-7.22242
2381314.9178-1.91783
2391614.58211.41794
2401011.9255-1.92547
2411212.3689-0.368901
2421213.8536-1.85362
243108.896041.10396
2441311.26851.73153
2451514.13110.868859
2461212.0311-0.031104
2471413.19020.809806
2481012.9659-2.96586
2491210.8661.13402
2501211.87350.126497
2511112.1225-1.12254
2521011.8207-1.82074
2531211.67930.320705
2541613.20092.79906
2551213.764-1.76397
2561414.3161-0.316095
2571614.58761.4124
2581411.87782.12218
2591314.7869-1.78686
26049.49445-5.49445
2611514.17790.822086
2621115.5524-4.55237
2631111.481-0.481022
2641413.15220.847801

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 13 & 15.7481 & -2.7481 \tabularnewline
2 & 16 & 15.2914 & 0.708608 \tabularnewline
3 & 19 & 16.5902 & 2.40977 \tabularnewline
4 & 15 & 11.2569 & 3.74307 \tabularnewline
5 & 14 & 15.8518 & -1.85176 \tabularnewline
6 & 13 & 14.3185 & -1.3185 \tabularnewline
7 & 19 & 14.9537 & 4.04626 \tabularnewline
8 & 15 & 16.6529 & -1.65289 \tabularnewline
9 & 14 & 15.6152 & -1.61518 \tabularnewline
10 & 15 & 13.8409 & 1.15911 \tabularnewline
11 & 16 & 14.5323 & 1.4677 \tabularnewline
12 & 16 & 16.0173 & -0.0172798 \tabularnewline
13 & 16 & 14.9916 & 1.00841 \tabularnewline
14 & 16 & 15.1639 & 0.836099 \tabularnewline
15 & 17 & 17.7076 & -0.707597 \tabularnewline
16 & 15 & 15.0516 & -0.0515635 \tabularnewline
17 & 15 & 14.004 & 0.996049 \tabularnewline
18 & 20 & 16.016 & 3.984 \tabularnewline
19 & 18 & 15.1597 & 2.84034 \tabularnewline
20 & 16 & 15.2498 & 0.750197 \tabularnewline
21 & 16 & 15.0446 & 0.955351 \tabularnewline
22 & 16 & 14.649 & 1.35102 \tabularnewline
23 & 19 & 16.2676 & 2.73242 \tabularnewline
24 & 16 & 14.7303 & 1.26974 \tabularnewline
25 & 17 & 15.8039 & 1.19609 \tabularnewline
26 & 17 & 15.7823 & 1.2177 \tabularnewline
27 & 16 & 14.4488 & 1.55116 \tabularnewline
28 & 15 & 16.4643 & -1.46434 \tabularnewline
29 & 16 & 15.2238 & 0.776212 \tabularnewline
30 & 14 & 13.6964 & 0.303554 \tabularnewline
31 & 15 & 15.3706 & -0.370617 \tabularnewline
32 & 12 & 12.1955 & -0.195465 \tabularnewline
33 & 14 & 14.4681 & -0.468118 \tabularnewline
34 & 16 & 15.5921 & 0.407869 \tabularnewline
35 & 14 & 15.0781 & -1.07808 \tabularnewline
36 & 10 & 12.4856 & -2.48564 \tabularnewline
37 & 10 & 12.2585 & -2.25847 \tabularnewline
38 & 14 & 15.4404 & -1.44041 \tabularnewline
39 & 16 & 14.1093 & 1.89074 \tabularnewline
40 & 16 & 14.0613 & 1.93868 \tabularnewline
41 & 16 & 14.3606 & 1.63936 \tabularnewline
42 & 14 & 15.3657 & -1.3657 \tabularnewline
43 & 20 & 17.5537 & 2.44628 \tabularnewline
44 & 14 & 13.7596 & 0.240375 \tabularnewline
45 & 14 & 14.1448 & -0.144826 \tabularnewline
46 & 11 & 15.1232 & -4.12318 \tabularnewline
47 & 14 & 16.5199 & -2.5199 \tabularnewline
48 & 15 & 14.7874 & 0.21256 \tabularnewline
49 & 16 & 15.1098 & 0.890199 \tabularnewline
50 & 14 & 15.3409 & -1.34091 \tabularnewline
51 & 16 & 16.87 & -0.869995 \tabularnewline
52 & 14 & 13.7208 & 0.279188 \tabularnewline
53 & 12 & 14.5884 & -2.58836 \tabularnewline
54 & 16 & 15.7944 & 0.205575 \tabularnewline
55 & 9 & 10.6797 & -1.67968 \tabularnewline
56 & 14 & 11.8261 & 2.17394 \tabularnewline
57 & 16 & 15.6831 & 0.31695 \tabularnewline
58 & 16 & 15.2845 & 0.715527 \tabularnewline
59 & 15 & 14.7918 & 0.208163 \tabularnewline
60 & 16 & 13.7957 & 2.20434 \tabularnewline
61 & 12 & 10.8475 & 1.15252 \tabularnewline
62 & 16 & 15.3826 & 0.617433 \tabularnewline
63 & 16 & 16.2687 & -0.268665 \tabularnewline
64 & 14 & 14.466 & -0.465985 \tabularnewline
65 & 16 & 15.1917 & 0.808255 \tabularnewline
66 & 17 & 15.7367 & 1.26333 \tabularnewline
67 & 18 & 16.1307 & 1.86929 \tabularnewline
68 & 18 & 14.0011 & 3.99891 \tabularnewline
69 & 12 & 15.8149 & -3.8149 \tabularnewline
70 & 16 & 15.4747 & 0.525305 \tabularnewline
71 & 10 & 13.0864 & -3.0864 \tabularnewline
72 & 14 & 14.7536 & -0.753602 \tabularnewline
73 & 18 & 16.7901 & 1.20988 \tabularnewline
74 & 18 & 17.1609 & 0.839105 \tabularnewline
75 & 16 & 14.9621 & 1.03792 \tabularnewline
76 & 17 & 13.052 & 3.94803 \tabularnewline
77 & 16 & 16.4184 & -0.418391 \tabularnewline
78 & 16 & 14.2494 & 1.75063 \tabularnewline
79 & 13 & 14.9582 & -1.95823 \tabularnewline
80 & 16 & 15.1332 & 0.866781 \tabularnewline
81 & 16 & 15.4799 & 0.520119 \tabularnewline
82 & 16 & 15.6955 & 0.30446 \tabularnewline
83 & 15 & 15.5853 & -0.585346 \tabularnewline
84 & 15 & 14.693 & 0.306967 \tabularnewline
85 & 16 & 13.8724 & 2.12762 \tabularnewline
86 & 14 & 13.9228 & 0.0771738 \tabularnewline
87 & 16 & 15.2425 & 0.757549 \tabularnewline
88 & 16 & 14.7212 & 1.27881 \tabularnewline
89 & 15 & 14.0874 & 0.912648 \tabularnewline
90 & 12 & 13.6758 & -1.67578 \tabularnewline
91 & 17 & 16.8684 & 0.131555 \tabularnewline
92 & 16 & 15.6972 & 0.302814 \tabularnewline
93 & 15 & 14.8356 & 0.164425 \tabularnewline
94 & 13 & 14.7855 & -1.7855 \tabularnewline
95 & 16 & 14.641 & 1.35905 \tabularnewline
96 & 16 & 15.7126 & 0.287399 \tabularnewline
97 & 16 & 13.4376 & 2.5624 \tabularnewline
98 & 16 & 15.7838 & 0.216195 \tabularnewline
99 & 14 & 14.2594 & -0.259369 \tabularnewline
100 & 16 & 17.1639 & -1.16393 \tabularnewline
101 & 16 & 14.5018 & 1.4982 \tabularnewline
102 & 20 & 17.56 & 2.44005 \tabularnewline
103 & 15 & 14.0815 & 0.918488 \tabularnewline
104 & 16 & 14.7887 & 1.21126 \tabularnewline
105 & 13 & 14.6862 & -1.68618 \tabularnewline
106 & 17 & 15.7698 & 1.23018 \tabularnewline
107 & 16 & 15.753 & 0.247005 \tabularnewline
108 & 16 & 14.2639 & 1.73612 \tabularnewline
109 & 12 & 12.0559 & -0.0558795 \tabularnewline
110 & 16 & 15.149 & 0.850968 \tabularnewline
111 & 16 & 15.9075 & 0.0924992 \tabularnewline
112 & 17 & 14.8649 & 2.13514 \tabularnewline
113 & 13 & 14.325 & -1.32499 \tabularnewline
114 & 12 & 14.6205 & -2.6205 \tabularnewline
115 & 18 & 16.2668 & 1.73321 \tabularnewline
116 & 14 & 15.9909 & -1.99092 \tabularnewline
117 & 14 & 13.0704 & 0.929557 \tabularnewline
118 & 13 & 14.8031 & -1.80307 \tabularnewline
119 & 16 & 15.4688 & 0.531213 \tabularnewline
120 & 13 & 14.4078 & -1.4078 \tabularnewline
121 & 16 & 15.3923 & 0.607701 \tabularnewline
122 & 13 & 15.8601 & -2.86011 \tabularnewline
123 & 16 & 17.0948 & -1.09481 \tabularnewline
124 & 15 & 16.0132 & -1.01325 \tabularnewline
125 & 16 & 16.8923 & -0.892323 \tabularnewline
126 & 15 & 14.7232 & 0.276811 \tabularnewline
127 & 17 & 15.7376 & 1.26243 \tabularnewline
128 & 15 & 14.0716 & 0.928413 \tabularnewline
129 & 12 & 14.7467 & -2.74666 \tabularnewline
130 & 16 & 13.881 & 2.11901 \tabularnewline
131 & 10 & 13.4804 & -3.48044 \tabularnewline
132 & 16 & 13.4525 & 2.54755 \tabularnewline
133 & 12 & 14.1559 & -2.15587 \tabularnewline
134 & 14 & 15.7055 & -1.70551 \tabularnewline
135 & 15 & 15.133 & -0.13298 \tabularnewline
136 & 13 & 11.8932 & 1.10684 \tabularnewline
137 & 15 & 14.6373 & 0.362686 \tabularnewline
138 & 11 & 13.4421 & -2.44214 \tabularnewline
139 & 12 & 13.0359 & -1.03594 \tabularnewline
140 & 11 & 13.2652 & -2.26519 \tabularnewline
141 & 16 & 12.9191 & 3.08092 \tabularnewline
142 & 15 & 13.5457 & 1.45434 \tabularnewline
143 & 17 & 17.0051 & -0.00512259 \tabularnewline
144 & 16 & 14.1911 & 1.80894 \tabularnewline
145 & 10 & 13.2843 & -3.28431 \tabularnewline
146 & 18 & 15.7239 & 2.27608 \tabularnewline
147 & 13 & 15.1131 & -2.11312 \tabularnewline
148 & 16 & 14.927 & 1.07297 \tabularnewline
149 & 13 & 12.6461 & 0.353927 \tabularnewline
150 & 10 & 12.8715 & -2.87151 \tabularnewline
151 & 15 & 16.0953 & -1.0953 \tabularnewline
152 & 16 & 13.9531 & 2.04693 \tabularnewline
153 & 16 & 11.702 & 4.29798 \tabularnewline
154 & 14 & 12.2505 & 1.74947 \tabularnewline
155 & 10 & 12.3569 & -2.35694 \tabularnewline
156 & 17 & 16.8684 & 0.131555 \tabularnewline
157 & 13 & 11.5902 & 1.4098 \tabularnewline
158 & 15 & 14.0716 & 0.928413 \tabularnewline
159 & 16 & 14.6514 & 1.34861 \tabularnewline
160 & 12 & 12.503 & -0.502995 \tabularnewline
161 & 13 & 12.6825 & 0.317504 \tabularnewline
162 & 13 & 12.5126 & 0.487363 \tabularnewline
163 & 12 & 12.3112 & -0.311158 \tabularnewline
164 & 17 & 16.5306 & 0.469372 \tabularnewline
165 & 15 & 13.6347 & 1.36526 \tabularnewline
166 & 10 & 11.4368 & -1.43678 \tabularnewline
167 & 14 & 14.4722 & -0.472222 \tabularnewline
168 & 11 & 14.2659 & -3.26593 \tabularnewline
169 & 13 & 14.8166 & -1.81658 \tabularnewline
170 & 16 & 14.3406 & 1.65937 \tabularnewline
171 & 12 & 10.3815 & 1.61852 \tabularnewline
172 & 16 & 15.7104 & 0.289602 \tabularnewline
173 & 12 & 13.956 & -1.95596 \tabularnewline
174 & 9 & 11.3064 & -2.30636 \tabularnewline
175 & 12 & 15.29 & -3.29002 \tabularnewline
176 & 15 & 14.6642 & 0.335807 \tabularnewline
177 & 12 & 12.2896 & -0.289585 \tabularnewline
178 & 12 & 12.6561 & -0.656129 \tabularnewline
179 & 14 & 14.0871 & -0.0871466 \tabularnewline
180 & 12 & 13.3916 & -1.39159 \tabularnewline
181 & 16 & 15.4795 & 0.520496 \tabularnewline
182 & 11 & 11.5409 & -0.540893 \tabularnewline
183 & 19 & 17.2071 & 1.79287 \tabularnewline
184 & 15 & 15.4913 & -0.491302 \tabularnewline
185 & 8 & 14.7642 & -6.76415 \tabularnewline
186 & 16 & 14.8911 & 1.10887 \tabularnewline
187 & 17 & 14.6903 & 2.30967 \tabularnewline
188 & 12 & 12.4795 & -0.479495 \tabularnewline
189 & 11 & 11.4983 & -0.498266 \tabularnewline
190 & 11 & 10.3343 & 0.665658 \tabularnewline
191 & 14 & 14.8473 & -0.847294 \tabularnewline
192 & 16 & 15.8152 & 0.184797 \tabularnewline
193 & 12 & 9.65045 & 2.34955 \tabularnewline
194 & 16 & 14.3827 & 1.61726 \tabularnewline
195 & 13 & 13.9159 & -0.915892 \tabularnewline
196 & 15 & 15.4026 & -0.402609 \tabularnewline
197 & 16 & 13.0589 & 2.94113 \tabularnewline
198 & 16 & 15.2748 & 0.725241 \tabularnewline
199 & 14 & 12.4699 & 1.53014 \tabularnewline
200 & 16 & 14.7013 & 1.29875 \tabularnewline
201 & 16 & 14.236 & 1.76396 \tabularnewline
202 & 14 & 13.5365 & 0.463491 \tabularnewline
203 & 11 & 13.6763 & -2.67632 \tabularnewline
204 & 12 & 14.9996 & -2.99957 \tabularnewline
205 & 15 & 12.953 & 2.04696 \tabularnewline
206 & 15 & 14.8297 & 0.170291 \tabularnewline
207 & 16 & 14.8914 & 1.10857 \tabularnewline
208 & 16 & 15.4559 & 0.54406 \tabularnewline
209 & 11 & 13.944 & -2.94398 \tabularnewline
210 & 15 & 14.2517 & 0.748281 \tabularnewline
211 & 12 & 14.5339 & -2.53389 \tabularnewline
212 & 12 & 16.304 & -4.30403 \tabularnewline
213 & 15 & 14.2835 & 0.71652 \tabularnewline
214 & 15 & 12.1698 & 2.83019 \tabularnewline
215 & 16 & 14.8618 & 1.13821 \tabularnewline
216 & 14 & 13.4711 & 0.528852 \tabularnewline
217 & 17 & 15.0455 & 1.95447 \tabularnewline
218 & 14 & 14.3319 & -0.331861 \tabularnewline
219 & 13 & 11.9533 & 1.04667 \tabularnewline
220 & 15 & 15.635 & -0.635012 \tabularnewline
221 & 13 & 15.0077 & -2.00772 \tabularnewline
222 & 14 & 14.5041 & -0.504103 \tabularnewline
223 & 15 & 14.557 & 0.44303 \tabularnewline
224 & 12 & 13.4732 & -1.47321 \tabularnewline
225 & 13 & 12.5773 & 0.422714 \tabularnewline
226 & 8 & 11.9246 & -3.92458 \tabularnewline
227 & 14 & 14.3594 & -0.359387 \tabularnewline
228 & 14 & 13.195 & 0.804997 \tabularnewline
229 & 11 & 12.3616 & -1.36161 \tabularnewline
230 & 12 & 13.169 & -1.16899 \tabularnewline
231 & 13 & 11.4729 & 1.52714 \tabularnewline
232 & 10 & 13.5355 & -3.53553 \tabularnewline
233 & 16 & 11.7537 & 4.24634 \tabularnewline
234 & 18 & 16.4867 & 1.51331 \tabularnewline
235 & 13 & 14.3186 & -1.31858 \tabularnewline
236 & 11 & 13.659 & -2.65904 \tabularnewline
237 & 4 & 11.2224 & -7.22242 \tabularnewline
238 & 13 & 14.9178 & -1.91783 \tabularnewline
239 & 16 & 14.5821 & 1.41794 \tabularnewline
240 & 10 & 11.9255 & -1.92547 \tabularnewline
241 & 12 & 12.3689 & -0.368901 \tabularnewline
242 & 12 & 13.8536 & -1.85362 \tabularnewline
243 & 10 & 8.89604 & 1.10396 \tabularnewline
244 & 13 & 11.2685 & 1.73153 \tabularnewline
245 & 15 & 14.1311 & 0.868859 \tabularnewline
246 & 12 & 12.0311 & -0.031104 \tabularnewline
247 & 14 & 13.1902 & 0.809806 \tabularnewline
248 & 10 & 12.9659 & -2.96586 \tabularnewline
249 & 12 & 10.866 & 1.13402 \tabularnewline
250 & 12 & 11.8735 & 0.126497 \tabularnewline
251 & 11 & 12.1225 & -1.12254 \tabularnewline
252 & 10 & 11.8207 & -1.82074 \tabularnewline
253 & 12 & 11.6793 & 0.320705 \tabularnewline
254 & 16 & 13.2009 & 2.79906 \tabularnewline
255 & 12 & 13.764 & -1.76397 \tabularnewline
256 & 14 & 14.3161 & -0.316095 \tabularnewline
257 & 16 & 14.5876 & 1.4124 \tabularnewline
258 & 14 & 11.8778 & 2.12218 \tabularnewline
259 & 13 & 14.7869 & -1.78686 \tabularnewline
260 & 4 & 9.49445 & -5.49445 \tabularnewline
261 & 15 & 14.1779 & 0.822086 \tabularnewline
262 & 11 & 15.5524 & -4.55237 \tabularnewline
263 & 11 & 11.481 & -0.481022 \tabularnewline
264 & 14 & 13.1522 & 0.847801 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253187&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]13[/C][C]15.7481[/C][C]-2.7481[/C][/ROW]
[ROW][C]2[/C][C]16[/C][C]15.2914[/C][C]0.708608[/C][/ROW]
[ROW][C]3[/C][C]19[/C][C]16.5902[/C][C]2.40977[/C][/ROW]
[ROW][C]4[/C][C]15[/C][C]11.2569[/C][C]3.74307[/C][/ROW]
[ROW][C]5[/C][C]14[/C][C]15.8518[/C][C]-1.85176[/C][/ROW]
[ROW][C]6[/C][C]13[/C][C]14.3185[/C][C]-1.3185[/C][/ROW]
[ROW][C]7[/C][C]19[/C][C]14.9537[/C][C]4.04626[/C][/ROW]
[ROW][C]8[/C][C]15[/C][C]16.6529[/C][C]-1.65289[/C][/ROW]
[ROW][C]9[/C][C]14[/C][C]15.6152[/C][C]-1.61518[/C][/ROW]
[ROW][C]10[/C][C]15[/C][C]13.8409[/C][C]1.15911[/C][/ROW]
[ROW][C]11[/C][C]16[/C][C]14.5323[/C][C]1.4677[/C][/ROW]
[ROW][C]12[/C][C]16[/C][C]16.0173[/C][C]-0.0172798[/C][/ROW]
[ROW][C]13[/C][C]16[/C][C]14.9916[/C][C]1.00841[/C][/ROW]
[ROW][C]14[/C][C]16[/C][C]15.1639[/C][C]0.836099[/C][/ROW]
[ROW][C]15[/C][C]17[/C][C]17.7076[/C][C]-0.707597[/C][/ROW]
[ROW][C]16[/C][C]15[/C][C]15.0516[/C][C]-0.0515635[/C][/ROW]
[ROW][C]17[/C][C]15[/C][C]14.004[/C][C]0.996049[/C][/ROW]
[ROW][C]18[/C][C]20[/C][C]16.016[/C][C]3.984[/C][/ROW]
[ROW][C]19[/C][C]18[/C][C]15.1597[/C][C]2.84034[/C][/ROW]
[ROW][C]20[/C][C]16[/C][C]15.2498[/C][C]0.750197[/C][/ROW]
[ROW][C]21[/C][C]16[/C][C]15.0446[/C][C]0.955351[/C][/ROW]
[ROW][C]22[/C][C]16[/C][C]14.649[/C][C]1.35102[/C][/ROW]
[ROW][C]23[/C][C]19[/C][C]16.2676[/C][C]2.73242[/C][/ROW]
[ROW][C]24[/C][C]16[/C][C]14.7303[/C][C]1.26974[/C][/ROW]
[ROW][C]25[/C][C]17[/C][C]15.8039[/C][C]1.19609[/C][/ROW]
[ROW][C]26[/C][C]17[/C][C]15.7823[/C][C]1.2177[/C][/ROW]
[ROW][C]27[/C][C]16[/C][C]14.4488[/C][C]1.55116[/C][/ROW]
[ROW][C]28[/C][C]15[/C][C]16.4643[/C][C]-1.46434[/C][/ROW]
[ROW][C]29[/C][C]16[/C][C]15.2238[/C][C]0.776212[/C][/ROW]
[ROW][C]30[/C][C]14[/C][C]13.6964[/C][C]0.303554[/C][/ROW]
[ROW][C]31[/C][C]15[/C][C]15.3706[/C][C]-0.370617[/C][/ROW]
[ROW][C]32[/C][C]12[/C][C]12.1955[/C][C]-0.195465[/C][/ROW]
[ROW][C]33[/C][C]14[/C][C]14.4681[/C][C]-0.468118[/C][/ROW]
[ROW][C]34[/C][C]16[/C][C]15.5921[/C][C]0.407869[/C][/ROW]
[ROW][C]35[/C][C]14[/C][C]15.0781[/C][C]-1.07808[/C][/ROW]
[ROW][C]36[/C][C]10[/C][C]12.4856[/C][C]-2.48564[/C][/ROW]
[ROW][C]37[/C][C]10[/C][C]12.2585[/C][C]-2.25847[/C][/ROW]
[ROW][C]38[/C][C]14[/C][C]15.4404[/C][C]-1.44041[/C][/ROW]
[ROW][C]39[/C][C]16[/C][C]14.1093[/C][C]1.89074[/C][/ROW]
[ROW][C]40[/C][C]16[/C][C]14.0613[/C][C]1.93868[/C][/ROW]
[ROW][C]41[/C][C]16[/C][C]14.3606[/C][C]1.63936[/C][/ROW]
[ROW][C]42[/C][C]14[/C][C]15.3657[/C][C]-1.3657[/C][/ROW]
[ROW][C]43[/C][C]20[/C][C]17.5537[/C][C]2.44628[/C][/ROW]
[ROW][C]44[/C][C]14[/C][C]13.7596[/C][C]0.240375[/C][/ROW]
[ROW][C]45[/C][C]14[/C][C]14.1448[/C][C]-0.144826[/C][/ROW]
[ROW][C]46[/C][C]11[/C][C]15.1232[/C][C]-4.12318[/C][/ROW]
[ROW][C]47[/C][C]14[/C][C]16.5199[/C][C]-2.5199[/C][/ROW]
[ROW][C]48[/C][C]15[/C][C]14.7874[/C][C]0.21256[/C][/ROW]
[ROW][C]49[/C][C]16[/C][C]15.1098[/C][C]0.890199[/C][/ROW]
[ROW][C]50[/C][C]14[/C][C]15.3409[/C][C]-1.34091[/C][/ROW]
[ROW][C]51[/C][C]16[/C][C]16.87[/C][C]-0.869995[/C][/ROW]
[ROW][C]52[/C][C]14[/C][C]13.7208[/C][C]0.279188[/C][/ROW]
[ROW][C]53[/C][C]12[/C][C]14.5884[/C][C]-2.58836[/C][/ROW]
[ROW][C]54[/C][C]16[/C][C]15.7944[/C][C]0.205575[/C][/ROW]
[ROW][C]55[/C][C]9[/C][C]10.6797[/C][C]-1.67968[/C][/ROW]
[ROW][C]56[/C][C]14[/C][C]11.8261[/C][C]2.17394[/C][/ROW]
[ROW][C]57[/C][C]16[/C][C]15.6831[/C][C]0.31695[/C][/ROW]
[ROW][C]58[/C][C]16[/C][C]15.2845[/C][C]0.715527[/C][/ROW]
[ROW][C]59[/C][C]15[/C][C]14.7918[/C][C]0.208163[/C][/ROW]
[ROW][C]60[/C][C]16[/C][C]13.7957[/C][C]2.20434[/C][/ROW]
[ROW][C]61[/C][C]12[/C][C]10.8475[/C][C]1.15252[/C][/ROW]
[ROW][C]62[/C][C]16[/C][C]15.3826[/C][C]0.617433[/C][/ROW]
[ROW][C]63[/C][C]16[/C][C]16.2687[/C][C]-0.268665[/C][/ROW]
[ROW][C]64[/C][C]14[/C][C]14.466[/C][C]-0.465985[/C][/ROW]
[ROW][C]65[/C][C]16[/C][C]15.1917[/C][C]0.808255[/C][/ROW]
[ROW][C]66[/C][C]17[/C][C]15.7367[/C][C]1.26333[/C][/ROW]
[ROW][C]67[/C][C]18[/C][C]16.1307[/C][C]1.86929[/C][/ROW]
[ROW][C]68[/C][C]18[/C][C]14.0011[/C][C]3.99891[/C][/ROW]
[ROW][C]69[/C][C]12[/C][C]15.8149[/C][C]-3.8149[/C][/ROW]
[ROW][C]70[/C][C]16[/C][C]15.4747[/C][C]0.525305[/C][/ROW]
[ROW][C]71[/C][C]10[/C][C]13.0864[/C][C]-3.0864[/C][/ROW]
[ROW][C]72[/C][C]14[/C][C]14.7536[/C][C]-0.753602[/C][/ROW]
[ROW][C]73[/C][C]18[/C][C]16.7901[/C][C]1.20988[/C][/ROW]
[ROW][C]74[/C][C]18[/C][C]17.1609[/C][C]0.839105[/C][/ROW]
[ROW][C]75[/C][C]16[/C][C]14.9621[/C][C]1.03792[/C][/ROW]
[ROW][C]76[/C][C]17[/C][C]13.052[/C][C]3.94803[/C][/ROW]
[ROW][C]77[/C][C]16[/C][C]16.4184[/C][C]-0.418391[/C][/ROW]
[ROW][C]78[/C][C]16[/C][C]14.2494[/C][C]1.75063[/C][/ROW]
[ROW][C]79[/C][C]13[/C][C]14.9582[/C][C]-1.95823[/C][/ROW]
[ROW][C]80[/C][C]16[/C][C]15.1332[/C][C]0.866781[/C][/ROW]
[ROW][C]81[/C][C]16[/C][C]15.4799[/C][C]0.520119[/C][/ROW]
[ROW][C]82[/C][C]16[/C][C]15.6955[/C][C]0.30446[/C][/ROW]
[ROW][C]83[/C][C]15[/C][C]15.5853[/C][C]-0.585346[/C][/ROW]
[ROW][C]84[/C][C]15[/C][C]14.693[/C][C]0.306967[/C][/ROW]
[ROW][C]85[/C][C]16[/C][C]13.8724[/C][C]2.12762[/C][/ROW]
[ROW][C]86[/C][C]14[/C][C]13.9228[/C][C]0.0771738[/C][/ROW]
[ROW][C]87[/C][C]16[/C][C]15.2425[/C][C]0.757549[/C][/ROW]
[ROW][C]88[/C][C]16[/C][C]14.7212[/C][C]1.27881[/C][/ROW]
[ROW][C]89[/C][C]15[/C][C]14.0874[/C][C]0.912648[/C][/ROW]
[ROW][C]90[/C][C]12[/C][C]13.6758[/C][C]-1.67578[/C][/ROW]
[ROW][C]91[/C][C]17[/C][C]16.8684[/C][C]0.131555[/C][/ROW]
[ROW][C]92[/C][C]16[/C][C]15.6972[/C][C]0.302814[/C][/ROW]
[ROW][C]93[/C][C]15[/C][C]14.8356[/C][C]0.164425[/C][/ROW]
[ROW][C]94[/C][C]13[/C][C]14.7855[/C][C]-1.7855[/C][/ROW]
[ROW][C]95[/C][C]16[/C][C]14.641[/C][C]1.35905[/C][/ROW]
[ROW][C]96[/C][C]16[/C][C]15.7126[/C][C]0.287399[/C][/ROW]
[ROW][C]97[/C][C]16[/C][C]13.4376[/C][C]2.5624[/C][/ROW]
[ROW][C]98[/C][C]16[/C][C]15.7838[/C][C]0.216195[/C][/ROW]
[ROW][C]99[/C][C]14[/C][C]14.2594[/C][C]-0.259369[/C][/ROW]
[ROW][C]100[/C][C]16[/C][C]17.1639[/C][C]-1.16393[/C][/ROW]
[ROW][C]101[/C][C]16[/C][C]14.5018[/C][C]1.4982[/C][/ROW]
[ROW][C]102[/C][C]20[/C][C]17.56[/C][C]2.44005[/C][/ROW]
[ROW][C]103[/C][C]15[/C][C]14.0815[/C][C]0.918488[/C][/ROW]
[ROW][C]104[/C][C]16[/C][C]14.7887[/C][C]1.21126[/C][/ROW]
[ROW][C]105[/C][C]13[/C][C]14.6862[/C][C]-1.68618[/C][/ROW]
[ROW][C]106[/C][C]17[/C][C]15.7698[/C][C]1.23018[/C][/ROW]
[ROW][C]107[/C][C]16[/C][C]15.753[/C][C]0.247005[/C][/ROW]
[ROW][C]108[/C][C]16[/C][C]14.2639[/C][C]1.73612[/C][/ROW]
[ROW][C]109[/C][C]12[/C][C]12.0559[/C][C]-0.0558795[/C][/ROW]
[ROW][C]110[/C][C]16[/C][C]15.149[/C][C]0.850968[/C][/ROW]
[ROW][C]111[/C][C]16[/C][C]15.9075[/C][C]0.0924992[/C][/ROW]
[ROW][C]112[/C][C]17[/C][C]14.8649[/C][C]2.13514[/C][/ROW]
[ROW][C]113[/C][C]13[/C][C]14.325[/C][C]-1.32499[/C][/ROW]
[ROW][C]114[/C][C]12[/C][C]14.6205[/C][C]-2.6205[/C][/ROW]
[ROW][C]115[/C][C]18[/C][C]16.2668[/C][C]1.73321[/C][/ROW]
[ROW][C]116[/C][C]14[/C][C]15.9909[/C][C]-1.99092[/C][/ROW]
[ROW][C]117[/C][C]14[/C][C]13.0704[/C][C]0.929557[/C][/ROW]
[ROW][C]118[/C][C]13[/C][C]14.8031[/C][C]-1.80307[/C][/ROW]
[ROW][C]119[/C][C]16[/C][C]15.4688[/C][C]0.531213[/C][/ROW]
[ROW][C]120[/C][C]13[/C][C]14.4078[/C][C]-1.4078[/C][/ROW]
[ROW][C]121[/C][C]16[/C][C]15.3923[/C][C]0.607701[/C][/ROW]
[ROW][C]122[/C][C]13[/C][C]15.8601[/C][C]-2.86011[/C][/ROW]
[ROW][C]123[/C][C]16[/C][C]17.0948[/C][C]-1.09481[/C][/ROW]
[ROW][C]124[/C][C]15[/C][C]16.0132[/C][C]-1.01325[/C][/ROW]
[ROW][C]125[/C][C]16[/C][C]16.8923[/C][C]-0.892323[/C][/ROW]
[ROW][C]126[/C][C]15[/C][C]14.7232[/C][C]0.276811[/C][/ROW]
[ROW][C]127[/C][C]17[/C][C]15.7376[/C][C]1.26243[/C][/ROW]
[ROW][C]128[/C][C]15[/C][C]14.0716[/C][C]0.928413[/C][/ROW]
[ROW][C]129[/C][C]12[/C][C]14.7467[/C][C]-2.74666[/C][/ROW]
[ROW][C]130[/C][C]16[/C][C]13.881[/C][C]2.11901[/C][/ROW]
[ROW][C]131[/C][C]10[/C][C]13.4804[/C][C]-3.48044[/C][/ROW]
[ROW][C]132[/C][C]16[/C][C]13.4525[/C][C]2.54755[/C][/ROW]
[ROW][C]133[/C][C]12[/C][C]14.1559[/C][C]-2.15587[/C][/ROW]
[ROW][C]134[/C][C]14[/C][C]15.7055[/C][C]-1.70551[/C][/ROW]
[ROW][C]135[/C][C]15[/C][C]15.133[/C][C]-0.13298[/C][/ROW]
[ROW][C]136[/C][C]13[/C][C]11.8932[/C][C]1.10684[/C][/ROW]
[ROW][C]137[/C][C]15[/C][C]14.6373[/C][C]0.362686[/C][/ROW]
[ROW][C]138[/C][C]11[/C][C]13.4421[/C][C]-2.44214[/C][/ROW]
[ROW][C]139[/C][C]12[/C][C]13.0359[/C][C]-1.03594[/C][/ROW]
[ROW][C]140[/C][C]11[/C][C]13.2652[/C][C]-2.26519[/C][/ROW]
[ROW][C]141[/C][C]16[/C][C]12.9191[/C][C]3.08092[/C][/ROW]
[ROW][C]142[/C][C]15[/C][C]13.5457[/C][C]1.45434[/C][/ROW]
[ROW][C]143[/C][C]17[/C][C]17.0051[/C][C]-0.00512259[/C][/ROW]
[ROW][C]144[/C][C]16[/C][C]14.1911[/C][C]1.80894[/C][/ROW]
[ROW][C]145[/C][C]10[/C][C]13.2843[/C][C]-3.28431[/C][/ROW]
[ROW][C]146[/C][C]18[/C][C]15.7239[/C][C]2.27608[/C][/ROW]
[ROW][C]147[/C][C]13[/C][C]15.1131[/C][C]-2.11312[/C][/ROW]
[ROW][C]148[/C][C]16[/C][C]14.927[/C][C]1.07297[/C][/ROW]
[ROW][C]149[/C][C]13[/C][C]12.6461[/C][C]0.353927[/C][/ROW]
[ROW][C]150[/C][C]10[/C][C]12.8715[/C][C]-2.87151[/C][/ROW]
[ROW][C]151[/C][C]15[/C][C]16.0953[/C][C]-1.0953[/C][/ROW]
[ROW][C]152[/C][C]16[/C][C]13.9531[/C][C]2.04693[/C][/ROW]
[ROW][C]153[/C][C]16[/C][C]11.702[/C][C]4.29798[/C][/ROW]
[ROW][C]154[/C][C]14[/C][C]12.2505[/C][C]1.74947[/C][/ROW]
[ROW][C]155[/C][C]10[/C][C]12.3569[/C][C]-2.35694[/C][/ROW]
[ROW][C]156[/C][C]17[/C][C]16.8684[/C][C]0.131555[/C][/ROW]
[ROW][C]157[/C][C]13[/C][C]11.5902[/C][C]1.4098[/C][/ROW]
[ROW][C]158[/C][C]15[/C][C]14.0716[/C][C]0.928413[/C][/ROW]
[ROW][C]159[/C][C]16[/C][C]14.6514[/C][C]1.34861[/C][/ROW]
[ROW][C]160[/C][C]12[/C][C]12.503[/C][C]-0.502995[/C][/ROW]
[ROW][C]161[/C][C]13[/C][C]12.6825[/C][C]0.317504[/C][/ROW]
[ROW][C]162[/C][C]13[/C][C]12.5126[/C][C]0.487363[/C][/ROW]
[ROW][C]163[/C][C]12[/C][C]12.3112[/C][C]-0.311158[/C][/ROW]
[ROW][C]164[/C][C]17[/C][C]16.5306[/C][C]0.469372[/C][/ROW]
[ROW][C]165[/C][C]15[/C][C]13.6347[/C][C]1.36526[/C][/ROW]
[ROW][C]166[/C][C]10[/C][C]11.4368[/C][C]-1.43678[/C][/ROW]
[ROW][C]167[/C][C]14[/C][C]14.4722[/C][C]-0.472222[/C][/ROW]
[ROW][C]168[/C][C]11[/C][C]14.2659[/C][C]-3.26593[/C][/ROW]
[ROW][C]169[/C][C]13[/C][C]14.8166[/C][C]-1.81658[/C][/ROW]
[ROW][C]170[/C][C]16[/C][C]14.3406[/C][C]1.65937[/C][/ROW]
[ROW][C]171[/C][C]12[/C][C]10.3815[/C][C]1.61852[/C][/ROW]
[ROW][C]172[/C][C]16[/C][C]15.7104[/C][C]0.289602[/C][/ROW]
[ROW][C]173[/C][C]12[/C][C]13.956[/C][C]-1.95596[/C][/ROW]
[ROW][C]174[/C][C]9[/C][C]11.3064[/C][C]-2.30636[/C][/ROW]
[ROW][C]175[/C][C]12[/C][C]15.29[/C][C]-3.29002[/C][/ROW]
[ROW][C]176[/C][C]15[/C][C]14.6642[/C][C]0.335807[/C][/ROW]
[ROW][C]177[/C][C]12[/C][C]12.2896[/C][C]-0.289585[/C][/ROW]
[ROW][C]178[/C][C]12[/C][C]12.6561[/C][C]-0.656129[/C][/ROW]
[ROW][C]179[/C][C]14[/C][C]14.0871[/C][C]-0.0871466[/C][/ROW]
[ROW][C]180[/C][C]12[/C][C]13.3916[/C][C]-1.39159[/C][/ROW]
[ROW][C]181[/C][C]16[/C][C]15.4795[/C][C]0.520496[/C][/ROW]
[ROW][C]182[/C][C]11[/C][C]11.5409[/C][C]-0.540893[/C][/ROW]
[ROW][C]183[/C][C]19[/C][C]17.2071[/C][C]1.79287[/C][/ROW]
[ROW][C]184[/C][C]15[/C][C]15.4913[/C][C]-0.491302[/C][/ROW]
[ROW][C]185[/C][C]8[/C][C]14.7642[/C][C]-6.76415[/C][/ROW]
[ROW][C]186[/C][C]16[/C][C]14.8911[/C][C]1.10887[/C][/ROW]
[ROW][C]187[/C][C]17[/C][C]14.6903[/C][C]2.30967[/C][/ROW]
[ROW][C]188[/C][C]12[/C][C]12.4795[/C][C]-0.479495[/C][/ROW]
[ROW][C]189[/C][C]11[/C][C]11.4983[/C][C]-0.498266[/C][/ROW]
[ROW][C]190[/C][C]11[/C][C]10.3343[/C][C]0.665658[/C][/ROW]
[ROW][C]191[/C][C]14[/C][C]14.8473[/C][C]-0.847294[/C][/ROW]
[ROW][C]192[/C][C]16[/C][C]15.8152[/C][C]0.184797[/C][/ROW]
[ROW][C]193[/C][C]12[/C][C]9.65045[/C][C]2.34955[/C][/ROW]
[ROW][C]194[/C][C]16[/C][C]14.3827[/C][C]1.61726[/C][/ROW]
[ROW][C]195[/C][C]13[/C][C]13.9159[/C][C]-0.915892[/C][/ROW]
[ROW][C]196[/C][C]15[/C][C]15.4026[/C][C]-0.402609[/C][/ROW]
[ROW][C]197[/C][C]16[/C][C]13.0589[/C][C]2.94113[/C][/ROW]
[ROW][C]198[/C][C]16[/C][C]15.2748[/C][C]0.725241[/C][/ROW]
[ROW][C]199[/C][C]14[/C][C]12.4699[/C][C]1.53014[/C][/ROW]
[ROW][C]200[/C][C]16[/C][C]14.7013[/C][C]1.29875[/C][/ROW]
[ROW][C]201[/C][C]16[/C][C]14.236[/C][C]1.76396[/C][/ROW]
[ROW][C]202[/C][C]14[/C][C]13.5365[/C][C]0.463491[/C][/ROW]
[ROW][C]203[/C][C]11[/C][C]13.6763[/C][C]-2.67632[/C][/ROW]
[ROW][C]204[/C][C]12[/C][C]14.9996[/C][C]-2.99957[/C][/ROW]
[ROW][C]205[/C][C]15[/C][C]12.953[/C][C]2.04696[/C][/ROW]
[ROW][C]206[/C][C]15[/C][C]14.8297[/C][C]0.170291[/C][/ROW]
[ROW][C]207[/C][C]16[/C][C]14.8914[/C][C]1.10857[/C][/ROW]
[ROW][C]208[/C][C]16[/C][C]15.4559[/C][C]0.54406[/C][/ROW]
[ROW][C]209[/C][C]11[/C][C]13.944[/C][C]-2.94398[/C][/ROW]
[ROW][C]210[/C][C]15[/C][C]14.2517[/C][C]0.748281[/C][/ROW]
[ROW][C]211[/C][C]12[/C][C]14.5339[/C][C]-2.53389[/C][/ROW]
[ROW][C]212[/C][C]12[/C][C]16.304[/C][C]-4.30403[/C][/ROW]
[ROW][C]213[/C][C]15[/C][C]14.2835[/C][C]0.71652[/C][/ROW]
[ROW][C]214[/C][C]15[/C][C]12.1698[/C][C]2.83019[/C][/ROW]
[ROW][C]215[/C][C]16[/C][C]14.8618[/C][C]1.13821[/C][/ROW]
[ROW][C]216[/C][C]14[/C][C]13.4711[/C][C]0.528852[/C][/ROW]
[ROW][C]217[/C][C]17[/C][C]15.0455[/C][C]1.95447[/C][/ROW]
[ROW][C]218[/C][C]14[/C][C]14.3319[/C][C]-0.331861[/C][/ROW]
[ROW][C]219[/C][C]13[/C][C]11.9533[/C][C]1.04667[/C][/ROW]
[ROW][C]220[/C][C]15[/C][C]15.635[/C][C]-0.635012[/C][/ROW]
[ROW][C]221[/C][C]13[/C][C]15.0077[/C][C]-2.00772[/C][/ROW]
[ROW][C]222[/C][C]14[/C][C]14.5041[/C][C]-0.504103[/C][/ROW]
[ROW][C]223[/C][C]15[/C][C]14.557[/C][C]0.44303[/C][/ROW]
[ROW][C]224[/C][C]12[/C][C]13.4732[/C][C]-1.47321[/C][/ROW]
[ROW][C]225[/C][C]13[/C][C]12.5773[/C][C]0.422714[/C][/ROW]
[ROW][C]226[/C][C]8[/C][C]11.9246[/C][C]-3.92458[/C][/ROW]
[ROW][C]227[/C][C]14[/C][C]14.3594[/C][C]-0.359387[/C][/ROW]
[ROW][C]228[/C][C]14[/C][C]13.195[/C][C]0.804997[/C][/ROW]
[ROW][C]229[/C][C]11[/C][C]12.3616[/C][C]-1.36161[/C][/ROW]
[ROW][C]230[/C][C]12[/C][C]13.169[/C][C]-1.16899[/C][/ROW]
[ROW][C]231[/C][C]13[/C][C]11.4729[/C][C]1.52714[/C][/ROW]
[ROW][C]232[/C][C]10[/C][C]13.5355[/C][C]-3.53553[/C][/ROW]
[ROW][C]233[/C][C]16[/C][C]11.7537[/C][C]4.24634[/C][/ROW]
[ROW][C]234[/C][C]18[/C][C]16.4867[/C][C]1.51331[/C][/ROW]
[ROW][C]235[/C][C]13[/C][C]14.3186[/C][C]-1.31858[/C][/ROW]
[ROW][C]236[/C][C]11[/C][C]13.659[/C][C]-2.65904[/C][/ROW]
[ROW][C]237[/C][C]4[/C][C]11.2224[/C][C]-7.22242[/C][/ROW]
[ROW][C]238[/C][C]13[/C][C]14.9178[/C][C]-1.91783[/C][/ROW]
[ROW][C]239[/C][C]16[/C][C]14.5821[/C][C]1.41794[/C][/ROW]
[ROW][C]240[/C][C]10[/C][C]11.9255[/C][C]-1.92547[/C][/ROW]
[ROW][C]241[/C][C]12[/C][C]12.3689[/C][C]-0.368901[/C][/ROW]
[ROW][C]242[/C][C]12[/C][C]13.8536[/C][C]-1.85362[/C][/ROW]
[ROW][C]243[/C][C]10[/C][C]8.89604[/C][C]1.10396[/C][/ROW]
[ROW][C]244[/C][C]13[/C][C]11.2685[/C][C]1.73153[/C][/ROW]
[ROW][C]245[/C][C]15[/C][C]14.1311[/C][C]0.868859[/C][/ROW]
[ROW][C]246[/C][C]12[/C][C]12.0311[/C][C]-0.031104[/C][/ROW]
[ROW][C]247[/C][C]14[/C][C]13.1902[/C][C]0.809806[/C][/ROW]
[ROW][C]248[/C][C]10[/C][C]12.9659[/C][C]-2.96586[/C][/ROW]
[ROW][C]249[/C][C]12[/C][C]10.866[/C][C]1.13402[/C][/ROW]
[ROW][C]250[/C][C]12[/C][C]11.8735[/C][C]0.126497[/C][/ROW]
[ROW][C]251[/C][C]11[/C][C]12.1225[/C][C]-1.12254[/C][/ROW]
[ROW][C]252[/C][C]10[/C][C]11.8207[/C][C]-1.82074[/C][/ROW]
[ROW][C]253[/C][C]12[/C][C]11.6793[/C][C]0.320705[/C][/ROW]
[ROW][C]254[/C][C]16[/C][C]13.2009[/C][C]2.79906[/C][/ROW]
[ROW][C]255[/C][C]12[/C][C]13.764[/C][C]-1.76397[/C][/ROW]
[ROW][C]256[/C][C]14[/C][C]14.3161[/C][C]-0.316095[/C][/ROW]
[ROW][C]257[/C][C]16[/C][C]14.5876[/C][C]1.4124[/C][/ROW]
[ROW][C]258[/C][C]14[/C][C]11.8778[/C][C]2.12218[/C][/ROW]
[ROW][C]259[/C][C]13[/C][C]14.7869[/C][C]-1.78686[/C][/ROW]
[ROW][C]260[/C][C]4[/C][C]9.49445[/C][C]-5.49445[/C][/ROW]
[ROW][C]261[/C][C]15[/C][C]14.1779[/C][C]0.822086[/C][/ROW]
[ROW][C]262[/C][C]11[/C][C]15.5524[/C][C]-4.55237[/C][/ROW]
[ROW][C]263[/C][C]11[/C][C]11.481[/C][C]-0.481022[/C][/ROW]
[ROW][C]264[/C][C]14[/C][C]13.1522[/C][C]0.847801[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253187&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253187&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
11315.7481-2.7481
21615.29140.708608
31916.59022.40977
41511.25693.74307
51415.8518-1.85176
61314.3185-1.3185
71914.95374.04626
81516.6529-1.65289
91415.6152-1.61518
101513.84091.15911
111614.53231.4677
121616.0173-0.0172798
131614.99161.00841
141615.16390.836099
151717.7076-0.707597
161515.0516-0.0515635
171514.0040.996049
182016.0163.984
191815.15972.84034
201615.24980.750197
211615.04460.955351
221614.6491.35102
231916.26762.73242
241614.73031.26974
251715.80391.19609
261715.78231.2177
271614.44881.55116
281516.4643-1.46434
291615.22380.776212
301413.69640.303554
311515.3706-0.370617
321212.1955-0.195465
331414.4681-0.468118
341615.59210.407869
351415.0781-1.07808
361012.4856-2.48564
371012.2585-2.25847
381415.4404-1.44041
391614.10931.89074
401614.06131.93868
411614.36061.63936
421415.3657-1.3657
432017.55372.44628
441413.75960.240375
451414.1448-0.144826
461115.1232-4.12318
471416.5199-2.5199
481514.78740.21256
491615.10980.890199
501415.3409-1.34091
511616.87-0.869995
521413.72080.279188
531214.5884-2.58836
541615.79440.205575
55910.6797-1.67968
561411.82612.17394
571615.68310.31695
581615.28450.715527
591514.79180.208163
601613.79572.20434
611210.84751.15252
621615.38260.617433
631616.2687-0.268665
641414.466-0.465985
651615.19170.808255
661715.73671.26333
671816.13071.86929
681814.00113.99891
691215.8149-3.8149
701615.47470.525305
711013.0864-3.0864
721414.7536-0.753602
731816.79011.20988
741817.16090.839105
751614.96211.03792
761713.0523.94803
771616.4184-0.418391
781614.24941.75063
791314.9582-1.95823
801615.13320.866781
811615.47990.520119
821615.69550.30446
831515.5853-0.585346
841514.6930.306967
851613.87242.12762
861413.92280.0771738
871615.24250.757549
881614.72121.27881
891514.08740.912648
901213.6758-1.67578
911716.86840.131555
921615.69720.302814
931514.83560.164425
941314.7855-1.7855
951614.6411.35905
961615.71260.287399
971613.43762.5624
981615.78380.216195
991414.2594-0.259369
1001617.1639-1.16393
1011614.50181.4982
1022017.562.44005
1031514.08150.918488
1041614.78871.21126
1051314.6862-1.68618
1061715.76981.23018
1071615.7530.247005
1081614.26391.73612
1091212.0559-0.0558795
1101615.1490.850968
1111615.90750.0924992
1121714.86492.13514
1131314.325-1.32499
1141214.6205-2.6205
1151816.26681.73321
1161415.9909-1.99092
1171413.07040.929557
1181314.8031-1.80307
1191615.46880.531213
1201314.4078-1.4078
1211615.39230.607701
1221315.8601-2.86011
1231617.0948-1.09481
1241516.0132-1.01325
1251616.8923-0.892323
1261514.72320.276811
1271715.73761.26243
1281514.07160.928413
1291214.7467-2.74666
1301613.8812.11901
1311013.4804-3.48044
1321613.45252.54755
1331214.1559-2.15587
1341415.7055-1.70551
1351515.133-0.13298
1361311.89321.10684
1371514.63730.362686
1381113.4421-2.44214
1391213.0359-1.03594
1401113.2652-2.26519
1411612.91913.08092
1421513.54571.45434
1431717.0051-0.00512259
1441614.19111.80894
1451013.2843-3.28431
1461815.72392.27608
1471315.1131-2.11312
1481614.9271.07297
1491312.64610.353927
1501012.8715-2.87151
1511516.0953-1.0953
1521613.95312.04693
1531611.7024.29798
1541412.25051.74947
1551012.3569-2.35694
1561716.86840.131555
1571311.59021.4098
1581514.07160.928413
1591614.65141.34861
1601212.503-0.502995
1611312.68250.317504
1621312.51260.487363
1631212.3112-0.311158
1641716.53060.469372
1651513.63471.36526
1661011.4368-1.43678
1671414.4722-0.472222
1681114.2659-3.26593
1691314.8166-1.81658
1701614.34061.65937
1711210.38151.61852
1721615.71040.289602
1731213.956-1.95596
174911.3064-2.30636
1751215.29-3.29002
1761514.66420.335807
1771212.2896-0.289585
1781212.6561-0.656129
1791414.0871-0.0871466
1801213.3916-1.39159
1811615.47950.520496
1821111.5409-0.540893
1831917.20711.79287
1841515.4913-0.491302
185814.7642-6.76415
1861614.89111.10887
1871714.69032.30967
1881212.4795-0.479495
1891111.4983-0.498266
1901110.33430.665658
1911414.8473-0.847294
1921615.81520.184797
193129.650452.34955
1941614.38271.61726
1951313.9159-0.915892
1961515.4026-0.402609
1971613.05892.94113
1981615.27480.725241
1991412.46991.53014
2001614.70131.29875
2011614.2361.76396
2021413.53650.463491
2031113.6763-2.67632
2041214.9996-2.99957
2051512.9532.04696
2061514.82970.170291
2071614.89141.10857
2081615.45590.54406
2091113.944-2.94398
2101514.25170.748281
2111214.5339-2.53389
2121216.304-4.30403
2131514.28350.71652
2141512.16982.83019
2151614.86181.13821
2161413.47110.528852
2171715.04551.95447
2181414.3319-0.331861
2191311.95331.04667
2201515.635-0.635012
2211315.0077-2.00772
2221414.5041-0.504103
2231514.5570.44303
2241213.4732-1.47321
2251312.57730.422714
226811.9246-3.92458
2271414.3594-0.359387
2281413.1950.804997
2291112.3616-1.36161
2301213.169-1.16899
2311311.47291.52714
2321013.5355-3.53553
2331611.75374.24634
2341816.48671.51331
2351314.3186-1.31858
2361113.659-2.65904
237411.2224-7.22242
2381314.9178-1.91783
2391614.58211.41794
2401011.9255-1.92547
2411212.3689-0.368901
2421213.8536-1.85362
243108.896041.10396
2441311.26851.73153
2451514.13110.868859
2461212.0311-0.031104
2471413.19020.809806
2481012.9659-2.96586
2491210.8661.13402
2501211.87350.126497
2511112.1225-1.12254
2521011.8207-1.82074
2531211.67930.320705
2541613.20092.79906
2551213.764-1.76397
2561414.3161-0.316095
2571614.58761.4124
2581411.87782.12218
2591314.7869-1.78686
26049.49445-5.49445
2611514.17790.822086
2621115.5524-4.55237
2631111.481-0.481022
2641413.15220.847801






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.3201530.6403060.679847
110.1871180.3742370.812882
120.7812390.4375220.218761
130.7022660.5954690.297734
140.6579760.6840480.342024
150.6533820.6932360.346618
160.6143220.7713570.385678
170.530370.939260.46963
180.8372370.3255260.162763
190.8474810.3050380.152519
200.8053810.3892380.194619
210.7608770.4782470.239123
220.7011030.5977940.298897
230.7386160.5227680.261384
240.6813570.6372870.318643
250.6238420.7523160.376158
260.5654270.8691460.434573
270.5061510.9876970.493849
280.4901570.9803150.509843
290.4270.8540.573
300.4056880.8113770.594312
310.3508830.7017650.649117
320.3249590.6499190.675041
330.2967380.5934750.703262
340.2475060.4950120.752494
350.2320260.4640510.767974
360.3271930.6543870.672807
370.4176260.8352520.582374
380.4139480.8278960.586052
390.4411560.8823130.558844
400.4161670.8323340.583833
410.3786080.7572160.621392
420.3602590.7205170.639741
430.3806060.7612120.619394
440.3364770.6729530.663523
450.3044130.6088260.695587
460.5713760.8572480.428624
470.6319540.7360930.368046
480.5855240.8289520.414476
490.5437780.9124440.456222
500.5375470.9249060.462453
510.4949110.9898220.505089
520.4482990.8965980.551701
530.4802410.9604830.519759
540.4356610.8713220.564339
550.4428180.8856360.557182
560.4247930.8495850.575207
570.3831370.7662750.616863
580.3552750.710550.644725
590.3147470.6294940.685253
600.3186180.6372360.681382
610.2920630.5841260.707937
620.2568060.5136110.743194
630.2230180.4460370.776982
640.1924470.3848940.807553
650.1696250.339250.830375
660.1543440.3086880.845656
670.1510560.3021120.848944
680.2519280.5038550.748072
690.3647090.7294170.635291
700.3297820.6595640.670218
710.4159330.8318660.584067
720.3785020.7570040.621498
730.359870.7197410.64013
740.335940.6718810.66406
750.3051960.6103920.694804
760.3730280.7460550.626972
770.3375670.6751330.662433
780.3184840.6369690.681516
790.3308440.6616870.669156
800.3018040.6036080.698196
810.2711010.5422010.728899
820.240610.4812190.75939
830.2183290.4366570.781671
840.1909810.3819620.809019
850.1883930.3767850.811607
860.1631670.3263350.836833
870.1434860.2869720.856514
880.1334060.2668130.866594
890.115690.2313810.88431
900.1115650.223130.888435
910.09525430.1905090.904746
920.0813620.1627240.918638
930.07019350.1403870.929807
940.07366990.147340.92633
950.06598650.1319730.934014
960.05524460.1104890.944755
970.06060320.1212060.939397
980.0504970.1009940.949503
990.04150740.08301490.958493
1000.03689860.07379720.963101
1010.03281830.06563670.967182
1020.03854960.07709920.96145
1030.03285340.06570680.967147
1040.02914930.05829860.970851
1050.03523160.07046310.964768
1060.03111380.06222750.968886
1070.02537640.05075280.974624
1080.02484470.04968950.975155
1090.02008460.04016930.979915
1100.01652730.03305450.983473
1110.01318290.02636570.986817
1120.01377330.02754650.986227
1130.01143430.02286870.988566
1140.01607960.03215920.98392
1150.01548610.03097230.984514
1160.01504180.03008370.984958
1170.01246790.02493590.987532
1180.01251060.02502110.987489
1190.0103230.02064590.989677
1200.009184330.01836870.990816
1210.007522450.01504490.992478
1220.01190770.02381540.988092
1230.01005340.02010680.989947
1240.008826210.01765240.991174
1250.00730290.01460580.992697
1260.006021190.01204240.993979
1270.005391710.01078340.994608
1280.004376710.008753430.995623
1290.006382310.01276460.993618
1300.006826470.01365290.993174
1310.01418150.02836310.985818
1320.01695880.03391770.983041
1330.01819370.03638750.981806
1340.01757850.03515690.982422
1350.01435630.02871260.985644
1360.01220310.02440610.987797
1370.009729610.01945920.99027
1380.01192390.02384770.988076
1390.01033350.0206670.989667
1400.01191250.0238250.988088
1410.01833560.03667120.981664
1420.01656410.03312820.983436
1430.01321590.02643180.986784
1440.01429160.02858320.985708
1450.02675590.05351170.973244
1460.03322650.06645290.966774
1470.03485590.06971190.965144
1480.03152210.06304420.968478
1490.0263240.05264790.973676
1500.03646850.07293690.963532
1510.03184770.06369550.968152
1520.03293020.06586040.96707
1530.06578440.1315690.934216
1540.06475050.1295010.935249
1550.07357410.1471480.926426
1560.06282580.1256520.937174
1570.05600070.1120010.943999
1580.04884540.09769070.951155
1590.04819470.09638950.951805
1600.04120360.08240720.958796
1610.03386110.06772230.966139
1620.02785050.0557010.972149
1630.02362150.04724290.976379
1640.02021460.04042930.979785
1650.01765530.03531070.982345
1660.01812590.03625180.981874
1670.01460390.02920770.985396
1680.02132510.04265020.978675
1690.02120910.04241810.978791
1700.01946110.03892220.980539
1710.01864050.0372810.98136
1720.01510350.0302070.984896
1730.015210.030420.98479
1740.01687760.03375520.983122
1750.02213320.04426650.977867
1760.01795750.03591490.982043
1770.01459370.02918730.985406
1780.01186260.02372510.988137
1790.009275170.01855030.990725
1800.008065530.01613110.991934
1810.006493760.01298750.993506
1820.005227070.01045410.994773
1830.005259470.01051890.994741
1840.004245010.008490030.995755
1850.08406440.1681290.915936
1860.0725670.1451340.927433
1870.08738290.1747660.912617
1880.07807310.1561460.921927
1890.06606750.1321350.933932
1900.05458680.1091740.945413
1910.0460540.0921080.953946
1920.0393370.07867390.960663
1930.04483110.08966210.955169
1940.04348940.08697880.956511
1950.03657230.07314460.963428
1960.02975980.05951970.97024
1970.0441310.0882620.955869
1980.03654140.07308270.963459
1990.03408180.06816360.965918
2000.0285830.0571660.971417
2010.02665430.05330860.973346
2020.02186890.04373780.978131
2030.02379090.04758170.976209
2040.03089940.06179880.969101
2050.03438110.06876220.965619
2060.02728030.05456050.97272
2070.02565070.05130150.974349
2080.02044930.04089860.979551
2090.02326440.04652880.976736
2100.02023610.04047220.979764
2110.02344990.04689990.97655
2120.03970210.07940420.960298
2130.0316190.0632380.968381
2140.04451610.08903220.955484
2150.03886920.07773850.961131
2160.03050680.06101370.969493
2170.0349670.06993390.965033
2180.03071480.06142950.969285
2190.02803230.05606460.971968
2200.02164850.04329710.978351
2210.01910450.03820910.980895
2220.01418510.02837030.985815
2230.01085950.0217190.98914
2240.008828950.01765790.991171
2250.006472890.01294580.993527
2260.01321480.02642950.986785
2270.01059680.02119370.989403
2280.007673730.01534750.992326
2290.005619140.01123830.994381
2300.004066160.008132310.995934
2310.004532710.009065420.995467
2320.01070650.02141310.989293
2330.04321250.0864250.956787
2340.06416930.1283390.935831
2350.04864260.09728520.951357
2360.04242540.08485080.957575
2370.2905550.5811110.709445
2380.2416270.4832530.758373
2390.2204120.4408240.779588
2400.1778540.3557070.822146
2410.1453720.2907440.854628
2420.124270.2485390.87573
2430.1171640.2343270.882836
2440.1903530.3807060.809647
2450.1783170.3566350.821683
2460.1467950.293590.853205
2470.110390.220780.88961
2480.0944640.1889280.905536
2490.07275090.1455020.927249
2500.1205090.2410180.879491
2510.07816720.1563340.921833
2520.1841140.3682280.815886
2530.3685390.7370770.631461
2540.8761340.2477320.123866

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
10 & 0.320153 & 0.640306 & 0.679847 \tabularnewline
11 & 0.187118 & 0.374237 & 0.812882 \tabularnewline
12 & 0.781239 & 0.437522 & 0.218761 \tabularnewline
13 & 0.702266 & 0.595469 & 0.297734 \tabularnewline
14 & 0.657976 & 0.684048 & 0.342024 \tabularnewline
15 & 0.653382 & 0.693236 & 0.346618 \tabularnewline
16 & 0.614322 & 0.771357 & 0.385678 \tabularnewline
17 & 0.53037 & 0.93926 & 0.46963 \tabularnewline
18 & 0.837237 & 0.325526 & 0.162763 \tabularnewline
19 & 0.847481 & 0.305038 & 0.152519 \tabularnewline
20 & 0.805381 & 0.389238 & 0.194619 \tabularnewline
21 & 0.760877 & 0.478247 & 0.239123 \tabularnewline
22 & 0.701103 & 0.597794 & 0.298897 \tabularnewline
23 & 0.738616 & 0.522768 & 0.261384 \tabularnewline
24 & 0.681357 & 0.637287 & 0.318643 \tabularnewline
25 & 0.623842 & 0.752316 & 0.376158 \tabularnewline
26 & 0.565427 & 0.869146 & 0.434573 \tabularnewline
27 & 0.506151 & 0.987697 & 0.493849 \tabularnewline
28 & 0.490157 & 0.980315 & 0.509843 \tabularnewline
29 & 0.427 & 0.854 & 0.573 \tabularnewline
30 & 0.405688 & 0.811377 & 0.594312 \tabularnewline
31 & 0.350883 & 0.701765 & 0.649117 \tabularnewline
32 & 0.324959 & 0.649919 & 0.675041 \tabularnewline
33 & 0.296738 & 0.593475 & 0.703262 \tabularnewline
34 & 0.247506 & 0.495012 & 0.752494 \tabularnewline
35 & 0.232026 & 0.464051 & 0.767974 \tabularnewline
36 & 0.327193 & 0.654387 & 0.672807 \tabularnewline
37 & 0.417626 & 0.835252 & 0.582374 \tabularnewline
38 & 0.413948 & 0.827896 & 0.586052 \tabularnewline
39 & 0.441156 & 0.882313 & 0.558844 \tabularnewline
40 & 0.416167 & 0.832334 & 0.583833 \tabularnewline
41 & 0.378608 & 0.757216 & 0.621392 \tabularnewline
42 & 0.360259 & 0.720517 & 0.639741 \tabularnewline
43 & 0.380606 & 0.761212 & 0.619394 \tabularnewline
44 & 0.336477 & 0.672953 & 0.663523 \tabularnewline
45 & 0.304413 & 0.608826 & 0.695587 \tabularnewline
46 & 0.571376 & 0.857248 & 0.428624 \tabularnewline
47 & 0.631954 & 0.736093 & 0.368046 \tabularnewline
48 & 0.585524 & 0.828952 & 0.414476 \tabularnewline
49 & 0.543778 & 0.912444 & 0.456222 \tabularnewline
50 & 0.537547 & 0.924906 & 0.462453 \tabularnewline
51 & 0.494911 & 0.989822 & 0.505089 \tabularnewline
52 & 0.448299 & 0.896598 & 0.551701 \tabularnewline
53 & 0.480241 & 0.960483 & 0.519759 \tabularnewline
54 & 0.435661 & 0.871322 & 0.564339 \tabularnewline
55 & 0.442818 & 0.885636 & 0.557182 \tabularnewline
56 & 0.424793 & 0.849585 & 0.575207 \tabularnewline
57 & 0.383137 & 0.766275 & 0.616863 \tabularnewline
58 & 0.355275 & 0.71055 & 0.644725 \tabularnewline
59 & 0.314747 & 0.629494 & 0.685253 \tabularnewline
60 & 0.318618 & 0.637236 & 0.681382 \tabularnewline
61 & 0.292063 & 0.584126 & 0.707937 \tabularnewline
62 & 0.256806 & 0.513611 & 0.743194 \tabularnewline
63 & 0.223018 & 0.446037 & 0.776982 \tabularnewline
64 & 0.192447 & 0.384894 & 0.807553 \tabularnewline
65 & 0.169625 & 0.33925 & 0.830375 \tabularnewline
66 & 0.154344 & 0.308688 & 0.845656 \tabularnewline
67 & 0.151056 & 0.302112 & 0.848944 \tabularnewline
68 & 0.251928 & 0.503855 & 0.748072 \tabularnewline
69 & 0.364709 & 0.729417 & 0.635291 \tabularnewline
70 & 0.329782 & 0.659564 & 0.670218 \tabularnewline
71 & 0.415933 & 0.831866 & 0.584067 \tabularnewline
72 & 0.378502 & 0.757004 & 0.621498 \tabularnewline
73 & 0.35987 & 0.719741 & 0.64013 \tabularnewline
74 & 0.33594 & 0.671881 & 0.66406 \tabularnewline
75 & 0.305196 & 0.610392 & 0.694804 \tabularnewline
76 & 0.373028 & 0.746055 & 0.626972 \tabularnewline
77 & 0.337567 & 0.675133 & 0.662433 \tabularnewline
78 & 0.318484 & 0.636969 & 0.681516 \tabularnewline
79 & 0.330844 & 0.661687 & 0.669156 \tabularnewline
80 & 0.301804 & 0.603608 & 0.698196 \tabularnewline
81 & 0.271101 & 0.542201 & 0.728899 \tabularnewline
82 & 0.24061 & 0.481219 & 0.75939 \tabularnewline
83 & 0.218329 & 0.436657 & 0.781671 \tabularnewline
84 & 0.190981 & 0.381962 & 0.809019 \tabularnewline
85 & 0.188393 & 0.376785 & 0.811607 \tabularnewline
86 & 0.163167 & 0.326335 & 0.836833 \tabularnewline
87 & 0.143486 & 0.286972 & 0.856514 \tabularnewline
88 & 0.133406 & 0.266813 & 0.866594 \tabularnewline
89 & 0.11569 & 0.231381 & 0.88431 \tabularnewline
90 & 0.111565 & 0.22313 & 0.888435 \tabularnewline
91 & 0.0952543 & 0.190509 & 0.904746 \tabularnewline
92 & 0.081362 & 0.162724 & 0.918638 \tabularnewline
93 & 0.0701935 & 0.140387 & 0.929807 \tabularnewline
94 & 0.0736699 & 0.14734 & 0.92633 \tabularnewline
95 & 0.0659865 & 0.131973 & 0.934014 \tabularnewline
96 & 0.0552446 & 0.110489 & 0.944755 \tabularnewline
97 & 0.0606032 & 0.121206 & 0.939397 \tabularnewline
98 & 0.050497 & 0.100994 & 0.949503 \tabularnewline
99 & 0.0415074 & 0.0830149 & 0.958493 \tabularnewline
100 & 0.0368986 & 0.0737972 & 0.963101 \tabularnewline
101 & 0.0328183 & 0.0656367 & 0.967182 \tabularnewline
102 & 0.0385496 & 0.0770992 & 0.96145 \tabularnewline
103 & 0.0328534 & 0.0657068 & 0.967147 \tabularnewline
104 & 0.0291493 & 0.0582986 & 0.970851 \tabularnewline
105 & 0.0352316 & 0.0704631 & 0.964768 \tabularnewline
106 & 0.0311138 & 0.0622275 & 0.968886 \tabularnewline
107 & 0.0253764 & 0.0507528 & 0.974624 \tabularnewline
108 & 0.0248447 & 0.0496895 & 0.975155 \tabularnewline
109 & 0.0200846 & 0.0401693 & 0.979915 \tabularnewline
110 & 0.0165273 & 0.0330545 & 0.983473 \tabularnewline
111 & 0.0131829 & 0.0263657 & 0.986817 \tabularnewline
112 & 0.0137733 & 0.0275465 & 0.986227 \tabularnewline
113 & 0.0114343 & 0.0228687 & 0.988566 \tabularnewline
114 & 0.0160796 & 0.0321592 & 0.98392 \tabularnewline
115 & 0.0154861 & 0.0309723 & 0.984514 \tabularnewline
116 & 0.0150418 & 0.0300837 & 0.984958 \tabularnewline
117 & 0.0124679 & 0.0249359 & 0.987532 \tabularnewline
118 & 0.0125106 & 0.0250211 & 0.987489 \tabularnewline
119 & 0.010323 & 0.0206459 & 0.989677 \tabularnewline
120 & 0.00918433 & 0.0183687 & 0.990816 \tabularnewline
121 & 0.00752245 & 0.0150449 & 0.992478 \tabularnewline
122 & 0.0119077 & 0.0238154 & 0.988092 \tabularnewline
123 & 0.0100534 & 0.0201068 & 0.989947 \tabularnewline
124 & 0.00882621 & 0.0176524 & 0.991174 \tabularnewline
125 & 0.0073029 & 0.0146058 & 0.992697 \tabularnewline
126 & 0.00602119 & 0.0120424 & 0.993979 \tabularnewline
127 & 0.00539171 & 0.0107834 & 0.994608 \tabularnewline
128 & 0.00437671 & 0.00875343 & 0.995623 \tabularnewline
129 & 0.00638231 & 0.0127646 & 0.993618 \tabularnewline
130 & 0.00682647 & 0.0136529 & 0.993174 \tabularnewline
131 & 0.0141815 & 0.0283631 & 0.985818 \tabularnewline
132 & 0.0169588 & 0.0339177 & 0.983041 \tabularnewline
133 & 0.0181937 & 0.0363875 & 0.981806 \tabularnewline
134 & 0.0175785 & 0.0351569 & 0.982422 \tabularnewline
135 & 0.0143563 & 0.0287126 & 0.985644 \tabularnewline
136 & 0.0122031 & 0.0244061 & 0.987797 \tabularnewline
137 & 0.00972961 & 0.0194592 & 0.99027 \tabularnewline
138 & 0.0119239 & 0.0238477 & 0.988076 \tabularnewline
139 & 0.0103335 & 0.020667 & 0.989667 \tabularnewline
140 & 0.0119125 & 0.023825 & 0.988088 \tabularnewline
141 & 0.0183356 & 0.0366712 & 0.981664 \tabularnewline
142 & 0.0165641 & 0.0331282 & 0.983436 \tabularnewline
143 & 0.0132159 & 0.0264318 & 0.986784 \tabularnewline
144 & 0.0142916 & 0.0285832 & 0.985708 \tabularnewline
145 & 0.0267559 & 0.0535117 & 0.973244 \tabularnewline
146 & 0.0332265 & 0.0664529 & 0.966774 \tabularnewline
147 & 0.0348559 & 0.0697119 & 0.965144 \tabularnewline
148 & 0.0315221 & 0.0630442 & 0.968478 \tabularnewline
149 & 0.026324 & 0.0526479 & 0.973676 \tabularnewline
150 & 0.0364685 & 0.0729369 & 0.963532 \tabularnewline
151 & 0.0318477 & 0.0636955 & 0.968152 \tabularnewline
152 & 0.0329302 & 0.0658604 & 0.96707 \tabularnewline
153 & 0.0657844 & 0.131569 & 0.934216 \tabularnewline
154 & 0.0647505 & 0.129501 & 0.935249 \tabularnewline
155 & 0.0735741 & 0.147148 & 0.926426 \tabularnewline
156 & 0.0628258 & 0.125652 & 0.937174 \tabularnewline
157 & 0.0560007 & 0.112001 & 0.943999 \tabularnewline
158 & 0.0488454 & 0.0976907 & 0.951155 \tabularnewline
159 & 0.0481947 & 0.0963895 & 0.951805 \tabularnewline
160 & 0.0412036 & 0.0824072 & 0.958796 \tabularnewline
161 & 0.0338611 & 0.0677223 & 0.966139 \tabularnewline
162 & 0.0278505 & 0.055701 & 0.972149 \tabularnewline
163 & 0.0236215 & 0.0472429 & 0.976379 \tabularnewline
164 & 0.0202146 & 0.0404293 & 0.979785 \tabularnewline
165 & 0.0176553 & 0.0353107 & 0.982345 \tabularnewline
166 & 0.0181259 & 0.0362518 & 0.981874 \tabularnewline
167 & 0.0146039 & 0.0292077 & 0.985396 \tabularnewline
168 & 0.0213251 & 0.0426502 & 0.978675 \tabularnewline
169 & 0.0212091 & 0.0424181 & 0.978791 \tabularnewline
170 & 0.0194611 & 0.0389222 & 0.980539 \tabularnewline
171 & 0.0186405 & 0.037281 & 0.98136 \tabularnewline
172 & 0.0151035 & 0.030207 & 0.984896 \tabularnewline
173 & 0.01521 & 0.03042 & 0.98479 \tabularnewline
174 & 0.0168776 & 0.0337552 & 0.983122 \tabularnewline
175 & 0.0221332 & 0.0442665 & 0.977867 \tabularnewline
176 & 0.0179575 & 0.0359149 & 0.982043 \tabularnewline
177 & 0.0145937 & 0.0291873 & 0.985406 \tabularnewline
178 & 0.0118626 & 0.0237251 & 0.988137 \tabularnewline
179 & 0.00927517 & 0.0185503 & 0.990725 \tabularnewline
180 & 0.00806553 & 0.0161311 & 0.991934 \tabularnewline
181 & 0.00649376 & 0.0129875 & 0.993506 \tabularnewline
182 & 0.00522707 & 0.0104541 & 0.994773 \tabularnewline
183 & 0.00525947 & 0.0105189 & 0.994741 \tabularnewline
184 & 0.00424501 & 0.00849003 & 0.995755 \tabularnewline
185 & 0.0840644 & 0.168129 & 0.915936 \tabularnewline
186 & 0.072567 & 0.145134 & 0.927433 \tabularnewline
187 & 0.0873829 & 0.174766 & 0.912617 \tabularnewline
188 & 0.0780731 & 0.156146 & 0.921927 \tabularnewline
189 & 0.0660675 & 0.132135 & 0.933932 \tabularnewline
190 & 0.0545868 & 0.109174 & 0.945413 \tabularnewline
191 & 0.046054 & 0.092108 & 0.953946 \tabularnewline
192 & 0.039337 & 0.0786739 & 0.960663 \tabularnewline
193 & 0.0448311 & 0.0896621 & 0.955169 \tabularnewline
194 & 0.0434894 & 0.0869788 & 0.956511 \tabularnewline
195 & 0.0365723 & 0.0731446 & 0.963428 \tabularnewline
196 & 0.0297598 & 0.0595197 & 0.97024 \tabularnewline
197 & 0.044131 & 0.088262 & 0.955869 \tabularnewline
198 & 0.0365414 & 0.0730827 & 0.963459 \tabularnewline
199 & 0.0340818 & 0.0681636 & 0.965918 \tabularnewline
200 & 0.028583 & 0.057166 & 0.971417 \tabularnewline
201 & 0.0266543 & 0.0533086 & 0.973346 \tabularnewline
202 & 0.0218689 & 0.0437378 & 0.978131 \tabularnewline
203 & 0.0237909 & 0.0475817 & 0.976209 \tabularnewline
204 & 0.0308994 & 0.0617988 & 0.969101 \tabularnewline
205 & 0.0343811 & 0.0687622 & 0.965619 \tabularnewline
206 & 0.0272803 & 0.0545605 & 0.97272 \tabularnewline
207 & 0.0256507 & 0.0513015 & 0.974349 \tabularnewline
208 & 0.0204493 & 0.0408986 & 0.979551 \tabularnewline
209 & 0.0232644 & 0.0465288 & 0.976736 \tabularnewline
210 & 0.0202361 & 0.0404722 & 0.979764 \tabularnewline
211 & 0.0234499 & 0.0468999 & 0.97655 \tabularnewline
212 & 0.0397021 & 0.0794042 & 0.960298 \tabularnewline
213 & 0.031619 & 0.063238 & 0.968381 \tabularnewline
214 & 0.0445161 & 0.0890322 & 0.955484 \tabularnewline
215 & 0.0388692 & 0.0777385 & 0.961131 \tabularnewline
216 & 0.0305068 & 0.0610137 & 0.969493 \tabularnewline
217 & 0.034967 & 0.0699339 & 0.965033 \tabularnewline
218 & 0.0307148 & 0.0614295 & 0.969285 \tabularnewline
219 & 0.0280323 & 0.0560646 & 0.971968 \tabularnewline
220 & 0.0216485 & 0.0432971 & 0.978351 \tabularnewline
221 & 0.0191045 & 0.0382091 & 0.980895 \tabularnewline
222 & 0.0141851 & 0.0283703 & 0.985815 \tabularnewline
223 & 0.0108595 & 0.021719 & 0.98914 \tabularnewline
224 & 0.00882895 & 0.0176579 & 0.991171 \tabularnewline
225 & 0.00647289 & 0.0129458 & 0.993527 \tabularnewline
226 & 0.0132148 & 0.0264295 & 0.986785 \tabularnewline
227 & 0.0105968 & 0.0211937 & 0.989403 \tabularnewline
228 & 0.00767373 & 0.0153475 & 0.992326 \tabularnewline
229 & 0.00561914 & 0.0112383 & 0.994381 \tabularnewline
230 & 0.00406616 & 0.00813231 & 0.995934 \tabularnewline
231 & 0.00453271 & 0.00906542 & 0.995467 \tabularnewline
232 & 0.0107065 & 0.0214131 & 0.989293 \tabularnewline
233 & 0.0432125 & 0.086425 & 0.956787 \tabularnewline
234 & 0.0641693 & 0.128339 & 0.935831 \tabularnewline
235 & 0.0486426 & 0.0972852 & 0.951357 \tabularnewline
236 & 0.0424254 & 0.0848508 & 0.957575 \tabularnewline
237 & 0.290555 & 0.581111 & 0.709445 \tabularnewline
238 & 0.241627 & 0.483253 & 0.758373 \tabularnewline
239 & 0.220412 & 0.440824 & 0.779588 \tabularnewline
240 & 0.177854 & 0.355707 & 0.822146 \tabularnewline
241 & 0.145372 & 0.290744 & 0.854628 \tabularnewline
242 & 0.12427 & 0.248539 & 0.87573 \tabularnewline
243 & 0.117164 & 0.234327 & 0.882836 \tabularnewline
244 & 0.190353 & 0.380706 & 0.809647 \tabularnewline
245 & 0.178317 & 0.356635 & 0.821683 \tabularnewline
246 & 0.146795 & 0.29359 & 0.853205 \tabularnewline
247 & 0.11039 & 0.22078 & 0.88961 \tabularnewline
248 & 0.094464 & 0.188928 & 0.905536 \tabularnewline
249 & 0.0727509 & 0.145502 & 0.927249 \tabularnewline
250 & 0.120509 & 0.241018 & 0.879491 \tabularnewline
251 & 0.0781672 & 0.156334 & 0.921833 \tabularnewline
252 & 0.184114 & 0.368228 & 0.815886 \tabularnewline
253 & 0.368539 & 0.737077 & 0.631461 \tabularnewline
254 & 0.876134 & 0.247732 & 0.123866 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253187&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]10[/C][C]0.320153[/C][C]0.640306[/C][C]0.679847[/C][/ROW]
[ROW][C]11[/C][C]0.187118[/C][C]0.374237[/C][C]0.812882[/C][/ROW]
[ROW][C]12[/C][C]0.781239[/C][C]0.437522[/C][C]0.218761[/C][/ROW]
[ROW][C]13[/C][C]0.702266[/C][C]0.595469[/C][C]0.297734[/C][/ROW]
[ROW][C]14[/C][C]0.657976[/C][C]0.684048[/C][C]0.342024[/C][/ROW]
[ROW][C]15[/C][C]0.653382[/C][C]0.693236[/C][C]0.346618[/C][/ROW]
[ROW][C]16[/C][C]0.614322[/C][C]0.771357[/C][C]0.385678[/C][/ROW]
[ROW][C]17[/C][C]0.53037[/C][C]0.93926[/C][C]0.46963[/C][/ROW]
[ROW][C]18[/C][C]0.837237[/C][C]0.325526[/C][C]0.162763[/C][/ROW]
[ROW][C]19[/C][C]0.847481[/C][C]0.305038[/C][C]0.152519[/C][/ROW]
[ROW][C]20[/C][C]0.805381[/C][C]0.389238[/C][C]0.194619[/C][/ROW]
[ROW][C]21[/C][C]0.760877[/C][C]0.478247[/C][C]0.239123[/C][/ROW]
[ROW][C]22[/C][C]0.701103[/C][C]0.597794[/C][C]0.298897[/C][/ROW]
[ROW][C]23[/C][C]0.738616[/C][C]0.522768[/C][C]0.261384[/C][/ROW]
[ROW][C]24[/C][C]0.681357[/C][C]0.637287[/C][C]0.318643[/C][/ROW]
[ROW][C]25[/C][C]0.623842[/C][C]0.752316[/C][C]0.376158[/C][/ROW]
[ROW][C]26[/C][C]0.565427[/C][C]0.869146[/C][C]0.434573[/C][/ROW]
[ROW][C]27[/C][C]0.506151[/C][C]0.987697[/C][C]0.493849[/C][/ROW]
[ROW][C]28[/C][C]0.490157[/C][C]0.980315[/C][C]0.509843[/C][/ROW]
[ROW][C]29[/C][C]0.427[/C][C]0.854[/C][C]0.573[/C][/ROW]
[ROW][C]30[/C][C]0.405688[/C][C]0.811377[/C][C]0.594312[/C][/ROW]
[ROW][C]31[/C][C]0.350883[/C][C]0.701765[/C][C]0.649117[/C][/ROW]
[ROW][C]32[/C][C]0.324959[/C][C]0.649919[/C][C]0.675041[/C][/ROW]
[ROW][C]33[/C][C]0.296738[/C][C]0.593475[/C][C]0.703262[/C][/ROW]
[ROW][C]34[/C][C]0.247506[/C][C]0.495012[/C][C]0.752494[/C][/ROW]
[ROW][C]35[/C][C]0.232026[/C][C]0.464051[/C][C]0.767974[/C][/ROW]
[ROW][C]36[/C][C]0.327193[/C][C]0.654387[/C][C]0.672807[/C][/ROW]
[ROW][C]37[/C][C]0.417626[/C][C]0.835252[/C][C]0.582374[/C][/ROW]
[ROW][C]38[/C][C]0.413948[/C][C]0.827896[/C][C]0.586052[/C][/ROW]
[ROW][C]39[/C][C]0.441156[/C][C]0.882313[/C][C]0.558844[/C][/ROW]
[ROW][C]40[/C][C]0.416167[/C][C]0.832334[/C][C]0.583833[/C][/ROW]
[ROW][C]41[/C][C]0.378608[/C][C]0.757216[/C][C]0.621392[/C][/ROW]
[ROW][C]42[/C][C]0.360259[/C][C]0.720517[/C][C]0.639741[/C][/ROW]
[ROW][C]43[/C][C]0.380606[/C][C]0.761212[/C][C]0.619394[/C][/ROW]
[ROW][C]44[/C][C]0.336477[/C][C]0.672953[/C][C]0.663523[/C][/ROW]
[ROW][C]45[/C][C]0.304413[/C][C]0.608826[/C][C]0.695587[/C][/ROW]
[ROW][C]46[/C][C]0.571376[/C][C]0.857248[/C][C]0.428624[/C][/ROW]
[ROW][C]47[/C][C]0.631954[/C][C]0.736093[/C][C]0.368046[/C][/ROW]
[ROW][C]48[/C][C]0.585524[/C][C]0.828952[/C][C]0.414476[/C][/ROW]
[ROW][C]49[/C][C]0.543778[/C][C]0.912444[/C][C]0.456222[/C][/ROW]
[ROW][C]50[/C][C]0.537547[/C][C]0.924906[/C][C]0.462453[/C][/ROW]
[ROW][C]51[/C][C]0.494911[/C][C]0.989822[/C][C]0.505089[/C][/ROW]
[ROW][C]52[/C][C]0.448299[/C][C]0.896598[/C][C]0.551701[/C][/ROW]
[ROW][C]53[/C][C]0.480241[/C][C]0.960483[/C][C]0.519759[/C][/ROW]
[ROW][C]54[/C][C]0.435661[/C][C]0.871322[/C][C]0.564339[/C][/ROW]
[ROW][C]55[/C][C]0.442818[/C][C]0.885636[/C][C]0.557182[/C][/ROW]
[ROW][C]56[/C][C]0.424793[/C][C]0.849585[/C][C]0.575207[/C][/ROW]
[ROW][C]57[/C][C]0.383137[/C][C]0.766275[/C][C]0.616863[/C][/ROW]
[ROW][C]58[/C][C]0.355275[/C][C]0.71055[/C][C]0.644725[/C][/ROW]
[ROW][C]59[/C][C]0.314747[/C][C]0.629494[/C][C]0.685253[/C][/ROW]
[ROW][C]60[/C][C]0.318618[/C][C]0.637236[/C][C]0.681382[/C][/ROW]
[ROW][C]61[/C][C]0.292063[/C][C]0.584126[/C][C]0.707937[/C][/ROW]
[ROW][C]62[/C][C]0.256806[/C][C]0.513611[/C][C]0.743194[/C][/ROW]
[ROW][C]63[/C][C]0.223018[/C][C]0.446037[/C][C]0.776982[/C][/ROW]
[ROW][C]64[/C][C]0.192447[/C][C]0.384894[/C][C]0.807553[/C][/ROW]
[ROW][C]65[/C][C]0.169625[/C][C]0.33925[/C][C]0.830375[/C][/ROW]
[ROW][C]66[/C][C]0.154344[/C][C]0.308688[/C][C]0.845656[/C][/ROW]
[ROW][C]67[/C][C]0.151056[/C][C]0.302112[/C][C]0.848944[/C][/ROW]
[ROW][C]68[/C][C]0.251928[/C][C]0.503855[/C][C]0.748072[/C][/ROW]
[ROW][C]69[/C][C]0.364709[/C][C]0.729417[/C][C]0.635291[/C][/ROW]
[ROW][C]70[/C][C]0.329782[/C][C]0.659564[/C][C]0.670218[/C][/ROW]
[ROW][C]71[/C][C]0.415933[/C][C]0.831866[/C][C]0.584067[/C][/ROW]
[ROW][C]72[/C][C]0.378502[/C][C]0.757004[/C][C]0.621498[/C][/ROW]
[ROW][C]73[/C][C]0.35987[/C][C]0.719741[/C][C]0.64013[/C][/ROW]
[ROW][C]74[/C][C]0.33594[/C][C]0.671881[/C][C]0.66406[/C][/ROW]
[ROW][C]75[/C][C]0.305196[/C][C]0.610392[/C][C]0.694804[/C][/ROW]
[ROW][C]76[/C][C]0.373028[/C][C]0.746055[/C][C]0.626972[/C][/ROW]
[ROW][C]77[/C][C]0.337567[/C][C]0.675133[/C][C]0.662433[/C][/ROW]
[ROW][C]78[/C][C]0.318484[/C][C]0.636969[/C][C]0.681516[/C][/ROW]
[ROW][C]79[/C][C]0.330844[/C][C]0.661687[/C][C]0.669156[/C][/ROW]
[ROW][C]80[/C][C]0.301804[/C][C]0.603608[/C][C]0.698196[/C][/ROW]
[ROW][C]81[/C][C]0.271101[/C][C]0.542201[/C][C]0.728899[/C][/ROW]
[ROW][C]82[/C][C]0.24061[/C][C]0.481219[/C][C]0.75939[/C][/ROW]
[ROW][C]83[/C][C]0.218329[/C][C]0.436657[/C][C]0.781671[/C][/ROW]
[ROW][C]84[/C][C]0.190981[/C][C]0.381962[/C][C]0.809019[/C][/ROW]
[ROW][C]85[/C][C]0.188393[/C][C]0.376785[/C][C]0.811607[/C][/ROW]
[ROW][C]86[/C][C]0.163167[/C][C]0.326335[/C][C]0.836833[/C][/ROW]
[ROW][C]87[/C][C]0.143486[/C][C]0.286972[/C][C]0.856514[/C][/ROW]
[ROW][C]88[/C][C]0.133406[/C][C]0.266813[/C][C]0.866594[/C][/ROW]
[ROW][C]89[/C][C]0.11569[/C][C]0.231381[/C][C]0.88431[/C][/ROW]
[ROW][C]90[/C][C]0.111565[/C][C]0.22313[/C][C]0.888435[/C][/ROW]
[ROW][C]91[/C][C]0.0952543[/C][C]0.190509[/C][C]0.904746[/C][/ROW]
[ROW][C]92[/C][C]0.081362[/C][C]0.162724[/C][C]0.918638[/C][/ROW]
[ROW][C]93[/C][C]0.0701935[/C][C]0.140387[/C][C]0.929807[/C][/ROW]
[ROW][C]94[/C][C]0.0736699[/C][C]0.14734[/C][C]0.92633[/C][/ROW]
[ROW][C]95[/C][C]0.0659865[/C][C]0.131973[/C][C]0.934014[/C][/ROW]
[ROW][C]96[/C][C]0.0552446[/C][C]0.110489[/C][C]0.944755[/C][/ROW]
[ROW][C]97[/C][C]0.0606032[/C][C]0.121206[/C][C]0.939397[/C][/ROW]
[ROW][C]98[/C][C]0.050497[/C][C]0.100994[/C][C]0.949503[/C][/ROW]
[ROW][C]99[/C][C]0.0415074[/C][C]0.0830149[/C][C]0.958493[/C][/ROW]
[ROW][C]100[/C][C]0.0368986[/C][C]0.0737972[/C][C]0.963101[/C][/ROW]
[ROW][C]101[/C][C]0.0328183[/C][C]0.0656367[/C][C]0.967182[/C][/ROW]
[ROW][C]102[/C][C]0.0385496[/C][C]0.0770992[/C][C]0.96145[/C][/ROW]
[ROW][C]103[/C][C]0.0328534[/C][C]0.0657068[/C][C]0.967147[/C][/ROW]
[ROW][C]104[/C][C]0.0291493[/C][C]0.0582986[/C][C]0.970851[/C][/ROW]
[ROW][C]105[/C][C]0.0352316[/C][C]0.0704631[/C][C]0.964768[/C][/ROW]
[ROW][C]106[/C][C]0.0311138[/C][C]0.0622275[/C][C]0.968886[/C][/ROW]
[ROW][C]107[/C][C]0.0253764[/C][C]0.0507528[/C][C]0.974624[/C][/ROW]
[ROW][C]108[/C][C]0.0248447[/C][C]0.0496895[/C][C]0.975155[/C][/ROW]
[ROW][C]109[/C][C]0.0200846[/C][C]0.0401693[/C][C]0.979915[/C][/ROW]
[ROW][C]110[/C][C]0.0165273[/C][C]0.0330545[/C][C]0.983473[/C][/ROW]
[ROW][C]111[/C][C]0.0131829[/C][C]0.0263657[/C][C]0.986817[/C][/ROW]
[ROW][C]112[/C][C]0.0137733[/C][C]0.0275465[/C][C]0.986227[/C][/ROW]
[ROW][C]113[/C][C]0.0114343[/C][C]0.0228687[/C][C]0.988566[/C][/ROW]
[ROW][C]114[/C][C]0.0160796[/C][C]0.0321592[/C][C]0.98392[/C][/ROW]
[ROW][C]115[/C][C]0.0154861[/C][C]0.0309723[/C][C]0.984514[/C][/ROW]
[ROW][C]116[/C][C]0.0150418[/C][C]0.0300837[/C][C]0.984958[/C][/ROW]
[ROW][C]117[/C][C]0.0124679[/C][C]0.0249359[/C][C]0.987532[/C][/ROW]
[ROW][C]118[/C][C]0.0125106[/C][C]0.0250211[/C][C]0.987489[/C][/ROW]
[ROW][C]119[/C][C]0.010323[/C][C]0.0206459[/C][C]0.989677[/C][/ROW]
[ROW][C]120[/C][C]0.00918433[/C][C]0.0183687[/C][C]0.990816[/C][/ROW]
[ROW][C]121[/C][C]0.00752245[/C][C]0.0150449[/C][C]0.992478[/C][/ROW]
[ROW][C]122[/C][C]0.0119077[/C][C]0.0238154[/C][C]0.988092[/C][/ROW]
[ROW][C]123[/C][C]0.0100534[/C][C]0.0201068[/C][C]0.989947[/C][/ROW]
[ROW][C]124[/C][C]0.00882621[/C][C]0.0176524[/C][C]0.991174[/C][/ROW]
[ROW][C]125[/C][C]0.0073029[/C][C]0.0146058[/C][C]0.992697[/C][/ROW]
[ROW][C]126[/C][C]0.00602119[/C][C]0.0120424[/C][C]0.993979[/C][/ROW]
[ROW][C]127[/C][C]0.00539171[/C][C]0.0107834[/C][C]0.994608[/C][/ROW]
[ROW][C]128[/C][C]0.00437671[/C][C]0.00875343[/C][C]0.995623[/C][/ROW]
[ROW][C]129[/C][C]0.00638231[/C][C]0.0127646[/C][C]0.993618[/C][/ROW]
[ROW][C]130[/C][C]0.00682647[/C][C]0.0136529[/C][C]0.993174[/C][/ROW]
[ROW][C]131[/C][C]0.0141815[/C][C]0.0283631[/C][C]0.985818[/C][/ROW]
[ROW][C]132[/C][C]0.0169588[/C][C]0.0339177[/C][C]0.983041[/C][/ROW]
[ROW][C]133[/C][C]0.0181937[/C][C]0.0363875[/C][C]0.981806[/C][/ROW]
[ROW][C]134[/C][C]0.0175785[/C][C]0.0351569[/C][C]0.982422[/C][/ROW]
[ROW][C]135[/C][C]0.0143563[/C][C]0.0287126[/C][C]0.985644[/C][/ROW]
[ROW][C]136[/C][C]0.0122031[/C][C]0.0244061[/C][C]0.987797[/C][/ROW]
[ROW][C]137[/C][C]0.00972961[/C][C]0.0194592[/C][C]0.99027[/C][/ROW]
[ROW][C]138[/C][C]0.0119239[/C][C]0.0238477[/C][C]0.988076[/C][/ROW]
[ROW][C]139[/C][C]0.0103335[/C][C]0.020667[/C][C]0.989667[/C][/ROW]
[ROW][C]140[/C][C]0.0119125[/C][C]0.023825[/C][C]0.988088[/C][/ROW]
[ROW][C]141[/C][C]0.0183356[/C][C]0.0366712[/C][C]0.981664[/C][/ROW]
[ROW][C]142[/C][C]0.0165641[/C][C]0.0331282[/C][C]0.983436[/C][/ROW]
[ROW][C]143[/C][C]0.0132159[/C][C]0.0264318[/C][C]0.986784[/C][/ROW]
[ROW][C]144[/C][C]0.0142916[/C][C]0.0285832[/C][C]0.985708[/C][/ROW]
[ROW][C]145[/C][C]0.0267559[/C][C]0.0535117[/C][C]0.973244[/C][/ROW]
[ROW][C]146[/C][C]0.0332265[/C][C]0.0664529[/C][C]0.966774[/C][/ROW]
[ROW][C]147[/C][C]0.0348559[/C][C]0.0697119[/C][C]0.965144[/C][/ROW]
[ROW][C]148[/C][C]0.0315221[/C][C]0.0630442[/C][C]0.968478[/C][/ROW]
[ROW][C]149[/C][C]0.026324[/C][C]0.0526479[/C][C]0.973676[/C][/ROW]
[ROW][C]150[/C][C]0.0364685[/C][C]0.0729369[/C][C]0.963532[/C][/ROW]
[ROW][C]151[/C][C]0.0318477[/C][C]0.0636955[/C][C]0.968152[/C][/ROW]
[ROW][C]152[/C][C]0.0329302[/C][C]0.0658604[/C][C]0.96707[/C][/ROW]
[ROW][C]153[/C][C]0.0657844[/C][C]0.131569[/C][C]0.934216[/C][/ROW]
[ROW][C]154[/C][C]0.0647505[/C][C]0.129501[/C][C]0.935249[/C][/ROW]
[ROW][C]155[/C][C]0.0735741[/C][C]0.147148[/C][C]0.926426[/C][/ROW]
[ROW][C]156[/C][C]0.0628258[/C][C]0.125652[/C][C]0.937174[/C][/ROW]
[ROW][C]157[/C][C]0.0560007[/C][C]0.112001[/C][C]0.943999[/C][/ROW]
[ROW][C]158[/C][C]0.0488454[/C][C]0.0976907[/C][C]0.951155[/C][/ROW]
[ROW][C]159[/C][C]0.0481947[/C][C]0.0963895[/C][C]0.951805[/C][/ROW]
[ROW][C]160[/C][C]0.0412036[/C][C]0.0824072[/C][C]0.958796[/C][/ROW]
[ROW][C]161[/C][C]0.0338611[/C][C]0.0677223[/C][C]0.966139[/C][/ROW]
[ROW][C]162[/C][C]0.0278505[/C][C]0.055701[/C][C]0.972149[/C][/ROW]
[ROW][C]163[/C][C]0.0236215[/C][C]0.0472429[/C][C]0.976379[/C][/ROW]
[ROW][C]164[/C][C]0.0202146[/C][C]0.0404293[/C][C]0.979785[/C][/ROW]
[ROW][C]165[/C][C]0.0176553[/C][C]0.0353107[/C][C]0.982345[/C][/ROW]
[ROW][C]166[/C][C]0.0181259[/C][C]0.0362518[/C][C]0.981874[/C][/ROW]
[ROW][C]167[/C][C]0.0146039[/C][C]0.0292077[/C][C]0.985396[/C][/ROW]
[ROW][C]168[/C][C]0.0213251[/C][C]0.0426502[/C][C]0.978675[/C][/ROW]
[ROW][C]169[/C][C]0.0212091[/C][C]0.0424181[/C][C]0.978791[/C][/ROW]
[ROW][C]170[/C][C]0.0194611[/C][C]0.0389222[/C][C]0.980539[/C][/ROW]
[ROW][C]171[/C][C]0.0186405[/C][C]0.037281[/C][C]0.98136[/C][/ROW]
[ROW][C]172[/C][C]0.0151035[/C][C]0.030207[/C][C]0.984896[/C][/ROW]
[ROW][C]173[/C][C]0.01521[/C][C]0.03042[/C][C]0.98479[/C][/ROW]
[ROW][C]174[/C][C]0.0168776[/C][C]0.0337552[/C][C]0.983122[/C][/ROW]
[ROW][C]175[/C][C]0.0221332[/C][C]0.0442665[/C][C]0.977867[/C][/ROW]
[ROW][C]176[/C][C]0.0179575[/C][C]0.0359149[/C][C]0.982043[/C][/ROW]
[ROW][C]177[/C][C]0.0145937[/C][C]0.0291873[/C][C]0.985406[/C][/ROW]
[ROW][C]178[/C][C]0.0118626[/C][C]0.0237251[/C][C]0.988137[/C][/ROW]
[ROW][C]179[/C][C]0.00927517[/C][C]0.0185503[/C][C]0.990725[/C][/ROW]
[ROW][C]180[/C][C]0.00806553[/C][C]0.0161311[/C][C]0.991934[/C][/ROW]
[ROW][C]181[/C][C]0.00649376[/C][C]0.0129875[/C][C]0.993506[/C][/ROW]
[ROW][C]182[/C][C]0.00522707[/C][C]0.0104541[/C][C]0.994773[/C][/ROW]
[ROW][C]183[/C][C]0.00525947[/C][C]0.0105189[/C][C]0.994741[/C][/ROW]
[ROW][C]184[/C][C]0.00424501[/C][C]0.00849003[/C][C]0.995755[/C][/ROW]
[ROW][C]185[/C][C]0.0840644[/C][C]0.168129[/C][C]0.915936[/C][/ROW]
[ROW][C]186[/C][C]0.072567[/C][C]0.145134[/C][C]0.927433[/C][/ROW]
[ROW][C]187[/C][C]0.0873829[/C][C]0.174766[/C][C]0.912617[/C][/ROW]
[ROW][C]188[/C][C]0.0780731[/C][C]0.156146[/C][C]0.921927[/C][/ROW]
[ROW][C]189[/C][C]0.0660675[/C][C]0.132135[/C][C]0.933932[/C][/ROW]
[ROW][C]190[/C][C]0.0545868[/C][C]0.109174[/C][C]0.945413[/C][/ROW]
[ROW][C]191[/C][C]0.046054[/C][C]0.092108[/C][C]0.953946[/C][/ROW]
[ROW][C]192[/C][C]0.039337[/C][C]0.0786739[/C][C]0.960663[/C][/ROW]
[ROW][C]193[/C][C]0.0448311[/C][C]0.0896621[/C][C]0.955169[/C][/ROW]
[ROW][C]194[/C][C]0.0434894[/C][C]0.0869788[/C][C]0.956511[/C][/ROW]
[ROW][C]195[/C][C]0.0365723[/C][C]0.0731446[/C][C]0.963428[/C][/ROW]
[ROW][C]196[/C][C]0.0297598[/C][C]0.0595197[/C][C]0.97024[/C][/ROW]
[ROW][C]197[/C][C]0.044131[/C][C]0.088262[/C][C]0.955869[/C][/ROW]
[ROW][C]198[/C][C]0.0365414[/C][C]0.0730827[/C][C]0.963459[/C][/ROW]
[ROW][C]199[/C][C]0.0340818[/C][C]0.0681636[/C][C]0.965918[/C][/ROW]
[ROW][C]200[/C][C]0.028583[/C][C]0.057166[/C][C]0.971417[/C][/ROW]
[ROW][C]201[/C][C]0.0266543[/C][C]0.0533086[/C][C]0.973346[/C][/ROW]
[ROW][C]202[/C][C]0.0218689[/C][C]0.0437378[/C][C]0.978131[/C][/ROW]
[ROW][C]203[/C][C]0.0237909[/C][C]0.0475817[/C][C]0.976209[/C][/ROW]
[ROW][C]204[/C][C]0.0308994[/C][C]0.0617988[/C][C]0.969101[/C][/ROW]
[ROW][C]205[/C][C]0.0343811[/C][C]0.0687622[/C][C]0.965619[/C][/ROW]
[ROW][C]206[/C][C]0.0272803[/C][C]0.0545605[/C][C]0.97272[/C][/ROW]
[ROW][C]207[/C][C]0.0256507[/C][C]0.0513015[/C][C]0.974349[/C][/ROW]
[ROW][C]208[/C][C]0.0204493[/C][C]0.0408986[/C][C]0.979551[/C][/ROW]
[ROW][C]209[/C][C]0.0232644[/C][C]0.0465288[/C][C]0.976736[/C][/ROW]
[ROW][C]210[/C][C]0.0202361[/C][C]0.0404722[/C][C]0.979764[/C][/ROW]
[ROW][C]211[/C][C]0.0234499[/C][C]0.0468999[/C][C]0.97655[/C][/ROW]
[ROW][C]212[/C][C]0.0397021[/C][C]0.0794042[/C][C]0.960298[/C][/ROW]
[ROW][C]213[/C][C]0.031619[/C][C]0.063238[/C][C]0.968381[/C][/ROW]
[ROW][C]214[/C][C]0.0445161[/C][C]0.0890322[/C][C]0.955484[/C][/ROW]
[ROW][C]215[/C][C]0.0388692[/C][C]0.0777385[/C][C]0.961131[/C][/ROW]
[ROW][C]216[/C][C]0.0305068[/C][C]0.0610137[/C][C]0.969493[/C][/ROW]
[ROW][C]217[/C][C]0.034967[/C][C]0.0699339[/C][C]0.965033[/C][/ROW]
[ROW][C]218[/C][C]0.0307148[/C][C]0.0614295[/C][C]0.969285[/C][/ROW]
[ROW][C]219[/C][C]0.0280323[/C][C]0.0560646[/C][C]0.971968[/C][/ROW]
[ROW][C]220[/C][C]0.0216485[/C][C]0.0432971[/C][C]0.978351[/C][/ROW]
[ROW][C]221[/C][C]0.0191045[/C][C]0.0382091[/C][C]0.980895[/C][/ROW]
[ROW][C]222[/C][C]0.0141851[/C][C]0.0283703[/C][C]0.985815[/C][/ROW]
[ROW][C]223[/C][C]0.0108595[/C][C]0.021719[/C][C]0.98914[/C][/ROW]
[ROW][C]224[/C][C]0.00882895[/C][C]0.0176579[/C][C]0.991171[/C][/ROW]
[ROW][C]225[/C][C]0.00647289[/C][C]0.0129458[/C][C]0.993527[/C][/ROW]
[ROW][C]226[/C][C]0.0132148[/C][C]0.0264295[/C][C]0.986785[/C][/ROW]
[ROW][C]227[/C][C]0.0105968[/C][C]0.0211937[/C][C]0.989403[/C][/ROW]
[ROW][C]228[/C][C]0.00767373[/C][C]0.0153475[/C][C]0.992326[/C][/ROW]
[ROW][C]229[/C][C]0.00561914[/C][C]0.0112383[/C][C]0.994381[/C][/ROW]
[ROW][C]230[/C][C]0.00406616[/C][C]0.00813231[/C][C]0.995934[/C][/ROW]
[ROW][C]231[/C][C]0.00453271[/C][C]0.00906542[/C][C]0.995467[/C][/ROW]
[ROW][C]232[/C][C]0.0107065[/C][C]0.0214131[/C][C]0.989293[/C][/ROW]
[ROW][C]233[/C][C]0.0432125[/C][C]0.086425[/C][C]0.956787[/C][/ROW]
[ROW][C]234[/C][C]0.0641693[/C][C]0.128339[/C][C]0.935831[/C][/ROW]
[ROW][C]235[/C][C]0.0486426[/C][C]0.0972852[/C][C]0.951357[/C][/ROW]
[ROW][C]236[/C][C]0.0424254[/C][C]0.0848508[/C][C]0.957575[/C][/ROW]
[ROW][C]237[/C][C]0.290555[/C][C]0.581111[/C][C]0.709445[/C][/ROW]
[ROW][C]238[/C][C]0.241627[/C][C]0.483253[/C][C]0.758373[/C][/ROW]
[ROW][C]239[/C][C]0.220412[/C][C]0.440824[/C][C]0.779588[/C][/ROW]
[ROW][C]240[/C][C]0.177854[/C][C]0.355707[/C][C]0.822146[/C][/ROW]
[ROW][C]241[/C][C]0.145372[/C][C]0.290744[/C][C]0.854628[/C][/ROW]
[ROW][C]242[/C][C]0.12427[/C][C]0.248539[/C][C]0.87573[/C][/ROW]
[ROW][C]243[/C][C]0.117164[/C][C]0.234327[/C][C]0.882836[/C][/ROW]
[ROW][C]244[/C][C]0.190353[/C][C]0.380706[/C][C]0.809647[/C][/ROW]
[ROW][C]245[/C][C]0.178317[/C][C]0.356635[/C][C]0.821683[/C][/ROW]
[ROW][C]246[/C][C]0.146795[/C][C]0.29359[/C][C]0.853205[/C][/ROW]
[ROW][C]247[/C][C]0.11039[/C][C]0.22078[/C][C]0.88961[/C][/ROW]
[ROW][C]248[/C][C]0.094464[/C][C]0.188928[/C][C]0.905536[/C][/ROW]
[ROW][C]249[/C][C]0.0727509[/C][C]0.145502[/C][C]0.927249[/C][/ROW]
[ROW][C]250[/C][C]0.120509[/C][C]0.241018[/C][C]0.879491[/C][/ROW]
[ROW][C]251[/C][C]0.0781672[/C][C]0.156334[/C][C]0.921833[/C][/ROW]
[ROW][C]252[/C][C]0.184114[/C][C]0.368228[/C][C]0.815886[/C][/ROW]
[ROW][C]253[/C][C]0.368539[/C][C]0.737077[/C][C]0.631461[/C][/ROW]
[ROW][C]254[/C][C]0.876134[/C][C]0.247732[/C][C]0.123866[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253187&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253187&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
100.3201530.6403060.679847
110.1871180.3742370.812882
120.7812390.4375220.218761
130.7022660.5954690.297734
140.6579760.6840480.342024
150.6533820.6932360.346618
160.6143220.7713570.385678
170.530370.939260.46963
180.8372370.3255260.162763
190.8474810.3050380.152519
200.8053810.3892380.194619
210.7608770.4782470.239123
220.7011030.5977940.298897
230.7386160.5227680.261384
240.6813570.6372870.318643
250.6238420.7523160.376158
260.5654270.8691460.434573
270.5061510.9876970.493849
280.4901570.9803150.509843
290.4270.8540.573
300.4056880.8113770.594312
310.3508830.7017650.649117
320.3249590.6499190.675041
330.2967380.5934750.703262
340.2475060.4950120.752494
350.2320260.4640510.767974
360.3271930.6543870.672807
370.4176260.8352520.582374
380.4139480.8278960.586052
390.4411560.8823130.558844
400.4161670.8323340.583833
410.3786080.7572160.621392
420.3602590.7205170.639741
430.3806060.7612120.619394
440.3364770.6729530.663523
450.3044130.6088260.695587
460.5713760.8572480.428624
470.6319540.7360930.368046
480.5855240.8289520.414476
490.5437780.9124440.456222
500.5375470.9249060.462453
510.4949110.9898220.505089
520.4482990.8965980.551701
530.4802410.9604830.519759
540.4356610.8713220.564339
550.4428180.8856360.557182
560.4247930.8495850.575207
570.3831370.7662750.616863
580.3552750.710550.644725
590.3147470.6294940.685253
600.3186180.6372360.681382
610.2920630.5841260.707937
620.2568060.5136110.743194
630.2230180.4460370.776982
640.1924470.3848940.807553
650.1696250.339250.830375
660.1543440.3086880.845656
670.1510560.3021120.848944
680.2519280.5038550.748072
690.3647090.7294170.635291
700.3297820.6595640.670218
710.4159330.8318660.584067
720.3785020.7570040.621498
730.359870.7197410.64013
740.335940.6718810.66406
750.3051960.6103920.694804
760.3730280.7460550.626972
770.3375670.6751330.662433
780.3184840.6369690.681516
790.3308440.6616870.669156
800.3018040.6036080.698196
810.2711010.5422010.728899
820.240610.4812190.75939
830.2183290.4366570.781671
840.1909810.3819620.809019
850.1883930.3767850.811607
860.1631670.3263350.836833
870.1434860.2869720.856514
880.1334060.2668130.866594
890.115690.2313810.88431
900.1115650.223130.888435
910.09525430.1905090.904746
920.0813620.1627240.918638
930.07019350.1403870.929807
940.07366990.147340.92633
950.06598650.1319730.934014
960.05524460.1104890.944755
970.06060320.1212060.939397
980.0504970.1009940.949503
990.04150740.08301490.958493
1000.03689860.07379720.963101
1010.03281830.06563670.967182
1020.03854960.07709920.96145
1030.03285340.06570680.967147
1040.02914930.05829860.970851
1050.03523160.07046310.964768
1060.03111380.06222750.968886
1070.02537640.05075280.974624
1080.02484470.04968950.975155
1090.02008460.04016930.979915
1100.01652730.03305450.983473
1110.01318290.02636570.986817
1120.01377330.02754650.986227
1130.01143430.02286870.988566
1140.01607960.03215920.98392
1150.01548610.03097230.984514
1160.01504180.03008370.984958
1170.01246790.02493590.987532
1180.01251060.02502110.987489
1190.0103230.02064590.989677
1200.009184330.01836870.990816
1210.007522450.01504490.992478
1220.01190770.02381540.988092
1230.01005340.02010680.989947
1240.008826210.01765240.991174
1250.00730290.01460580.992697
1260.006021190.01204240.993979
1270.005391710.01078340.994608
1280.004376710.008753430.995623
1290.006382310.01276460.993618
1300.006826470.01365290.993174
1310.01418150.02836310.985818
1320.01695880.03391770.983041
1330.01819370.03638750.981806
1340.01757850.03515690.982422
1350.01435630.02871260.985644
1360.01220310.02440610.987797
1370.009729610.01945920.99027
1380.01192390.02384770.988076
1390.01033350.0206670.989667
1400.01191250.0238250.988088
1410.01833560.03667120.981664
1420.01656410.03312820.983436
1430.01321590.02643180.986784
1440.01429160.02858320.985708
1450.02675590.05351170.973244
1460.03322650.06645290.966774
1470.03485590.06971190.965144
1480.03152210.06304420.968478
1490.0263240.05264790.973676
1500.03646850.07293690.963532
1510.03184770.06369550.968152
1520.03293020.06586040.96707
1530.06578440.1315690.934216
1540.06475050.1295010.935249
1550.07357410.1471480.926426
1560.06282580.1256520.937174
1570.05600070.1120010.943999
1580.04884540.09769070.951155
1590.04819470.09638950.951805
1600.04120360.08240720.958796
1610.03386110.06772230.966139
1620.02785050.0557010.972149
1630.02362150.04724290.976379
1640.02021460.04042930.979785
1650.01765530.03531070.982345
1660.01812590.03625180.981874
1670.01460390.02920770.985396
1680.02132510.04265020.978675
1690.02120910.04241810.978791
1700.01946110.03892220.980539
1710.01864050.0372810.98136
1720.01510350.0302070.984896
1730.015210.030420.98479
1740.01687760.03375520.983122
1750.02213320.04426650.977867
1760.01795750.03591490.982043
1770.01459370.02918730.985406
1780.01186260.02372510.988137
1790.009275170.01855030.990725
1800.008065530.01613110.991934
1810.006493760.01298750.993506
1820.005227070.01045410.994773
1830.005259470.01051890.994741
1840.004245010.008490030.995755
1850.08406440.1681290.915936
1860.0725670.1451340.927433
1870.08738290.1747660.912617
1880.07807310.1561460.921927
1890.06606750.1321350.933932
1900.05458680.1091740.945413
1910.0460540.0921080.953946
1920.0393370.07867390.960663
1930.04483110.08966210.955169
1940.04348940.08697880.956511
1950.03657230.07314460.963428
1960.02975980.05951970.97024
1970.0441310.0882620.955869
1980.03654140.07308270.963459
1990.03408180.06816360.965918
2000.0285830.0571660.971417
2010.02665430.05330860.973346
2020.02186890.04373780.978131
2030.02379090.04758170.976209
2040.03089940.06179880.969101
2050.03438110.06876220.965619
2060.02728030.05456050.97272
2070.02565070.05130150.974349
2080.02044930.04089860.979551
2090.02326440.04652880.976736
2100.02023610.04047220.979764
2110.02344990.04689990.97655
2120.03970210.07940420.960298
2130.0316190.0632380.968381
2140.04451610.08903220.955484
2150.03886920.07773850.961131
2160.03050680.06101370.969493
2170.0349670.06993390.965033
2180.03071480.06142950.969285
2190.02803230.05606460.971968
2200.02164850.04329710.978351
2210.01910450.03820910.980895
2220.01418510.02837030.985815
2230.01085950.0217190.98914
2240.008828950.01765790.991171
2250.006472890.01294580.993527
2260.01321480.02642950.986785
2270.01059680.02119370.989403
2280.007673730.01534750.992326
2290.005619140.01123830.994381
2300.004066160.008132310.995934
2310.004532710.009065420.995467
2320.01070650.02141310.989293
2330.04321250.0864250.956787
2340.06416930.1283390.935831
2350.04864260.09728520.951357
2360.04242540.08485080.957575
2370.2905550.5811110.709445
2380.2416270.4832530.758373
2390.2204120.4408240.779588
2400.1778540.3557070.822146
2410.1453720.2907440.854628
2420.124270.2485390.87573
2430.1171640.2343270.882836
2440.1903530.3807060.809647
2450.1783170.3566350.821683
2460.1467950.293590.853205
2470.110390.220780.88961
2480.0944640.1889280.905536
2490.07275090.1455020.927249
2500.1205090.2410180.879491
2510.07816720.1563340.921833
2520.1841140.3682280.815886
2530.3685390.7370770.631461
2540.8761340.2477320.123866






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level40.0163265NOK
5% type I error level780.318367NOK
10% type I error level1260.514286NOK

\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 & 4 & 0.0163265 & NOK \tabularnewline
5% type I error level & 78 & 0.318367 & NOK \tabularnewline
10% type I error level & 126 & 0.514286 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253187&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]4[/C][C]0.0163265[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]78[/C][C]0.318367[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]126[/C][C]0.514286[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253187&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253187&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 level40.0163265NOK
5% type I error level780.318367NOK
10% type I error level1260.514286NOK


Figures (Output of Computation)

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