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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, 03 Nov 2013 16:46:17 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Nov/03/t1383515246ase5okgoiaplspr.htm/, Retrieved Mon, 29 Apr 2024 10:20:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=222029, Retrieved Mon, 29 Apr 2024 10:20:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact75

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [linear WS7 zonder...] [2013-11-03 21:46:17] [cb725e3dac64282bf746e0e2ee8aee47] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
41 38 13 12 14 12 53 32
39 32 16 11 18 11 83 51
30 35 19 15 11 14 66 42
31 33 15 6 12 12 67 41
34 37 14 13 16 21 76 46
35 29 13 10 18 12 78 47
39 31 19 12 14 22 53 37
34 36 15 14 14 11 80 49
36 35 14 12 15 10 74 45
37 38 15 9 15 13 76 47
38 31 16 10 17 10 79 49
36 34 16 12 19 8 54 33
38 35 16 12 10 15 67 42
39 38 16 11 16 14 54 33
33 37 17 15 18 10 87 53
32 33 15 12 14 14 58 36
36 32 15 10 14 14 75 45
38 38 20 12 17 11 88 54
39 38 18 11 14 10 64 41
32 32 16 12 16 13 57 36
32 33 16 11 18 9.5 66 41
31 31 16 12 11 14 68 44
39 38 19 13 14 12 54 33
37 39 16 11 12 14 56 37
39 32 17 12 17 11 86 52
41 32 17 13 9 9 80 47
36 35 16 10 16 11 76 43
33 37 15 14 14 15 69 44
33 33 16 12 15 14 78 45
34 33 14 10 11 13 67 44
31 31 15 12 16 9 80 49
27 32 12 8 13 15 54 33
37 31 14 10 17 10 71 43
34 37 16 12 15 11 84 54
34 30 14 12 14 13 74 42
32 33 10 7 16 8 71 44
29 31 10 9 9 20 63 37
36 33 14 12 15 12 71 43
29 31 16 10 17 10 76 46
35 33 16 10 13 10 69 42
37 32 16 10 15 9 74 45
34 33 14 12 16 14 75 44
38 32 20 15 16 8 54 33
35 33 14 10 12 14 52 31
38 28 14 10 15 11 69 42
37 35 11 12 11 13 68 40
38 39 14 13 15 9 65 43
33 34 15 11 15 11 75 46
36 38 16 11 17 15 74 42
38 32 14 12 13 11 75 45
32 38 16 14 16 10 72 44
32 30 14 10 14 14 67 40
32 33 12 12 11 18 63 37
34 38 16 13 12 14 62 46
32 32 9 5 12 11 63 36
37 35 14 6 15 14.5 76 47
39 34 16 12 16 13 74 45
29 34 16 12 15 9 67 42
37 36 15 11 12 10 73 43
35 34 16 10 12 15 70 43
30 28 12 7 8 20 53 32
38 34 16 12 13 12 77 45
34 35 16 14 11 12 80 48
31 35 14 11 14 14 52 31
34 31 16 12 15 13 54 33
35 37 17 13 10 11 80 49
36 35 18 14 11 17 66 42
30 27 18 11 12 12 73 41
39 40 12 12 15 13 63 38
35 37 16 12 15 14 69 42
38 36 10 8 14 13 67 44
31 38 14 11 16 15 54 33
34 39 18 14 15 13 81 48
38 41 18 14 15 10 69 40
34 27 16 12 13 11 84 50
39 30 17 9 12 19 80 49
37 37 16 13 17 13 70 43
34 31 16 11 13 17 69 44
28 31 13 12 15 13 77 47
37 27 16 12 13 9 54 33
33 36 16 12 15 11 79 46
35 37 16 12 15 9 71 45
37 33 15 12 16 12 73 43
32 34 15 11 15 12 72 44
33 31 16 10 14 13 77 47
38 39 14 9 15 13 75 45
33 34 16 12 14 12 69 42
29 32 16 12 13 15 54 33
33 33 15 12 7 22 70 43
31 36 12 9 17 13 73 46
36 32 17 15 13 15 54 33
35 41 16 12 15 13 77 46
32 28 15 12 14 15 82 48
29 30 13 12 13 12.5 80 47
39 36 16 10 16 11 80 47
37 35 16 13 12 16 69 43
35 31 16 9 14 11 78 46
37 34 16 12 17 11 81 48
32 36 14 10 15 10 76 46
38 36 16 14 17 10 76 45
37 35 16 11 12 16 73 45
36 37 20 15 16 12 85 52
32 28 15 11 11 11 66 42
33 39 16 11 15 16 79 47
40 32 13 12 9 19 68 41
38 35 17 12 16 11 76 47
41 39 16 12 15 16 71 43
36 35 16 11 10 15 54 33
43 42 12 7 10 24 46 30
30 34 16 12 15 14 85 52
31 33 16 14 11 15 74 44
32 41 17 11 13 11 88 55
32 33 13 11 14 15 38 11
37 34 12 10 18 12 76 47
37 32 18 13 16 10 86 53
33 40 14 13 14 14 54 33
34 40 14 8 14 13 67 44
33 35 13 11 14 9 69 42
38 36 16 12 14 15 90 55
33 37 13 11 12 15 54 33
31 27 16 13 14 14 76 46
38 39 13 12 15 11 89 54
37 38 16 14 15 8 76 47
36 31 15 13 15 11 73 45
31 33 16 15 13 11 79 47
39 32 15 10 17 8 90 55
44 39 17 11 17 10 74 44
33 36 15 9 19 11 81 53
35 33 12 11 15 13 72 44
32 33 16 10 13 11 71 42
28 32 10 11 9 20 66 40
40 37 16 8 15 10 77 46
27 30 12 11 15 15 65 40
37 38 14 12 15 12 74 46
32 29 15 12 16 14 85 53
28 22 13 9 11 23 54 33
34 35 15 11 14 14 63 42
30 35 11 10 11 16 54 35
35 34 12 8 15 11 64 40
31 35 11 9 13 12 69 41
32 34 16 8 15 10 54 33
30 37 15 9 16 14 84 51
30 35 17 15 14 12 86 53
31 23 16 11 15 12 77 46
40 31 10 8 16 11 89 55
32 27 18 13 16 12 76 47
36 36 13 12 11 13 60 38
32 31 16 12 12 11 75 46
35 32 13 9 9 19 73 46
38 39 10 7 16 12 85 53
42 37 15 13 13 17 79 47
34 38 16 9 16 9 71 41
35 39 16 6 12 12 72 44
38 34 14 8 9 19 69 43
33 31 10 8 13 18 78 51
36 32 17 15 13 15 54 33
32 37 13 6 14 14 69 43
33 36 15 9 19 11 81 53
34 32 16 11 13 9 84 51
32 38 12 8 12 18 84 50
34 36 13 8 13 16 69 46
27 26 13 10 10 24 66 43
31 26 12 8 14 14 81 47
38 33 17 14 16 20 82 50
34 39 15 10 10 18 72 43
24 30 10 8 11 23 54 33
30 33 14 11 14 12 78 48
26 25 11 12 12 14 74 44
34 38 13 12 9 16 82 50
27 37 16 12 9 18 73 41
37 31 12 5 11 20 55 34
36 37 16 12 16 12 72 44
41 35 12 10 9 12 78 47
29 25 9 7 13 17 59 35
36 28 12 12 16 13 72 44
32 35 15 11 13 9 78 44
37 33 12 8 9 16 68 43
30 30 12 9 12 18 69 41
31 31 14 10 16 10 67 41
38 37 12 9 11 14 74 42
36 36 16 12 14 11 54 33
35 30 11 6 13 9 67 41
31 36 19 15 15 11 70 44
38 32 15 12 14 10 80 48
22 28 8 12 16 11 89 55
32 36 16 12 13 19 76 44
36 34 17 11 14 14 74 43
39 31 12 7 15 12 87 52
28 28 11 7 13 14 54 30
32 36 11 5 11 21 61 39
32 36 14 12 11 13 38 11
38 40 16 12 14 10 75 44
32 33 12 3 15 15 69 42
35 37 16 11 11 16 62 41
32 32 13 10 15 14 72 44
37 38 15 12 12 12 70 44
34 31 16 9 14 19 79 48
33 37 16 12 14 15 87 53
33 33 14 9 8 19 62 37
26 32 16 12 13 13 77 44
30 30 16 12 9 17 69 44
24 30 14 10 15 12 69 40
34 31 11 9 17 11 75 42
34 32 12 12 13 14 54 35
33 34 15 8 15 11 72 43
34 36 15 11 15 13 74 45
35 37 16 11 14 12 85 55
35 36 16 12 16 15 52 31
36 33 11 10 13 14 70 44
34 33 15 10 16 12 84 50
34 33 12 12 9 17 64 40
41 44 12 12 16 11 84 53
32 39 15 11 11 18 87 54
30 32 15 8 10 13 79 49
35 35 16 12 11 17 67 40
28 25 14 10 15 13 65 41
33 35 17 11 17 11 85 52
39 34 14 10 14 12 83 52
36 35 13 8 8 22 61 36
36 39 15 12 15 14 82 52
35 33 13 12 11 12 76 46
38 36 14 10 16 12 58 31
33 32 15 12 10 17 72 44
31 32 12 9 15 9 72 44
34 36 13 9 9 21 38 11
32 36 8 6 16 10 78 46
31 32 14 10 19 11 54 33
33 34 14 9 12 12 63 34
34 33 11 9 8 23 66 42
34 35 12 9 11 13 70 43
34 30 13 6 14 12 71 43
33 38 10 10 9 16 67 44
32 34 16 6 15 9 58 36
41 33 18 14 13 17 72 46
34 32 13 10 16 9 72 44
36 31 11 10 11 14 70 43
37 30 4 6 12 17 76 50
36 27 13 12 13 13 50 33
29 31 16 12 10 11 72 43
37 30 10 7 11 12 72 44
27 32 12 8 12 10 88 53
35 35 12 11 8 19 53 34
28 28 10 3 12 16 58 35
35 33 13 6 12 16 66 40
37 31 15 10 15 14 82 53
29 35 12 8 11 20 69 42
32 35 14 9 13 15 68 43
36 32 10 9 14 23 44 29
19 21 12 8 10 20 56 36
21 20 12 9 12 16 53 30
31 34 11 7 15 14 70 42
33 32 10 7 13 17 78 47
36 34 12 6 13 11 71 44
33 32 16 9 13 13 72 45
37 33 12 10 12 17 68 44
34 33 14 11 12 15 67 43
35 37 16 12 9 21 75 43
31 32 14 8 9 18 62 40
37 34 13 11 15 15 67 41
35 30 4 3 10 8 83 52
27 30 15 11 14 12 64 38
34 38 11 12 15 12 68 41
40 36 11 7 7 22 62 39
29 32 14 9 14 12 72 43

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time18 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\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 & 18 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
R Framework error message & 
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=222029&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]18 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=222029&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=222029&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 time18 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.






Multiple Linear Regression - Estimated Regression Equation
Connected[t] = + 18.849 + 0.428972Separate[t] + 0.109175Learning[t] -0.0717741Software[t] + 0.00553305Happiness[t] -0.0483079Depression[t] -0.0618539Sport1[t] + 0.131947Sport2[t] -0.00592139t + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Connected[t] =  +  18.849 +  0.428972Separate[t] +  0.109175Learning[t] -0.0717741Software[t] +  0.00553305Happiness[t] -0.0483079Depression[t] -0.0618539Sport1[t] +  0.131947Sport2[t] -0.00592139t  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=222029&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Connected[t] =  +  18.849 +  0.428972Separate[t] +  0.109175Learning[t] -0.0717741Software[t] +  0.00553305Happiness[t] -0.0483079Depression[t] -0.0618539Sport1[t] +  0.131947Sport2[t] -0.00592139t  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=222029&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=222029&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
Connected[t] = + 18.849 + 0.428972Separate[t] + 0.109175Learning[t] -0.0717741Software[t] + 0.00553305Happiness[t] -0.0483079Depression[t] -0.0618539Sport1[t] + 0.131947Sport2[t] -0.00592139t + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)18.8493.398835.5467.30958e-083.65479e-08
Separate0.4289720.05772847.4311.629e-128.145e-13
Learning0.1091750.1129580.96650.3347060.167353
Software-0.07177410.115901-0.61930.5362920.268146
Happiness0.005533050.1049520.052720.9579960.478998
Depression-0.04830790.0760687-0.63510.5259620.262981
Sport1-0.06185390.0675008-0.91630.3603520.180176
Sport20.1319470.1002841.3160.1894440.0947218
t-0.005921390.00307141-1.9280.0549770.0274885

\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) & 18.849 & 3.39883 & 5.546 & 7.30958e-08 & 3.65479e-08 \tabularnewline
Separate & 0.428972 & 0.0577284 & 7.431 & 1.629e-12 & 8.145e-13 \tabularnewline
Learning & 0.109175 & 0.112958 & 0.9665 & 0.334706 & 0.167353 \tabularnewline
Software & -0.0717741 & 0.115901 & -0.6193 & 0.536292 & 0.268146 \tabularnewline
Happiness & 0.00553305 & 0.104952 & 0.05272 & 0.957996 & 0.478998 \tabularnewline
Depression & -0.0483079 & 0.0760687 & -0.6351 & 0.525962 & 0.262981 \tabularnewline
Sport1 & -0.0618539 & 0.0675008 & -0.9163 & 0.360352 & 0.180176 \tabularnewline
Sport2 & 0.131947 & 0.100284 & 1.316 & 0.189444 & 0.0947218 \tabularnewline
t & -0.00592139 & 0.00307141 & -1.928 & 0.054977 & 0.0274885 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=222029&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]18.849[/C][C]3.39883[/C][C]5.546[/C][C]7.30958e-08[/C][C]3.65479e-08[/C][/ROW]
[ROW][C]Separate[/C][C]0.428972[/C][C]0.0577284[/C][C]7.431[/C][C]1.629e-12[/C][C]8.145e-13[/C][/ROW]
[ROW][C]Learning[/C][C]0.109175[/C][C]0.112958[/C][C]0.9665[/C][C]0.334706[/C][C]0.167353[/C][/ROW]
[ROW][C]Software[/C][C]-0.0717741[/C][C]0.115901[/C][C]-0.6193[/C][C]0.536292[/C][C]0.268146[/C][/ROW]
[ROW][C]Happiness[/C][C]0.00553305[/C][C]0.104952[/C][C]0.05272[/C][C]0.957996[/C][C]0.478998[/C][/ROW]
[ROW][C]Depression[/C][C]-0.0483079[/C][C]0.0760687[/C][C]-0.6351[/C][C]0.525962[/C][C]0.262981[/C][/ROW]
[ROW][C]Sport1[/C][C]-0.0618539[/C][C]0.0675008[/C][C]-0.9163[/C][C]0.360352[/C][C]0.180176[/C][/ROW]
[ROW][C]Sport2[/C][C]0.131947[/C][C]0.100284[/C][C]1.316[/C][C]0.189444[/C][C]0.0947218[/C][/ROW]
[ROW][C]t[/C][C]-0.00592139[/C][C]0.00307141[/C][C]-1.928[/C][C]0.054977[/C][C]0.0274885[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=222029&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=222029&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)18.8493.398835.5467.30958e-083.65479e-08
Separate0.4289720.05772847.4311.629e-128.145e-13
Learning0.1091750.1129580.96650.3347060.167353
Software-0.07177410.115901-0.61930.5362920.268146
Happiness0.005533050.1049520.052720.9579960.478998
Depression-0.04830790.0760687-0.63510.5259620.262981
Sport1-0.06185390.0675008-0.91630.3603520.180176
Sport20.1319470.1002841.3160.1894440.0947218
t-0.005921390.00307141-1.9280.0549770.0274885






Multiple Linear Regression - Regression Statistics
Multiple R0.492319
R-squared0.242378
Adjusted R-squared0.218609
F-TEST (value)10.1974
F-TEST (DF numerator)8
F-TEST (DF denominator)255
p-value2.36799e-12
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.35595
Sum Squared Residuals2871.91

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.492319 \tabularnewline
R-squared & 0.242378 \tabularnewline
Adjusted R-squared & 0.218609 \tabularnewline
F-TEST (value) & 10.1974 \tabularnewline
F-TEST (DF numerator) & 8 \tabularnewline
F-TEST (DF denominator) & 255 \tabularnewline
p-value & 2.36799e-12 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 3.35595 \tabularnewline
Sum Squared Residuals & 2871.91 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=222029&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.492319[/C][/ROW]
[ROW][C]R-squared[/C][C]0.242378[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.218609[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]10.1974[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]8[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]255[/C][/ROW]
[ROW][C]p-value[/C][C]2.36799e-12[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]3.35595[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]2871.91[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=222029&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=222029&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 R0.492319
R-squared0.242378
Adjusted R-squared0.218609
F-TEST (value)10.1974
F-TEST (DF numerator)8
F-TEST (DF denominator)255
p-value2.36799e-12
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.35595
Sum Squared Residuals2871.91






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
14136.14384.85619
23934.68524.31483
33035.6869-5.68693
43134.9407-3.94068
53435.7295-1.72947
63532.8522.14801
73933.93725.06282
83435.9406-1.94057
93635.43720.562772
103737.038-0.0379845
113834.3013.69902
123634.98131.0187
133835.39982.60018
143936.45072.54933
153336.6399-3.63992
163234.2504-2.25038
173634.0951.90496
183837.61020.389769
193937.25861.74138
203234.0281-2.02812
213234.8061-2.80614
223133.8865-2.88652
233936.66692.33309
243737.2024-0.202381
253934.52724.47276
264134.21336.78672
273635.26220.737837
283336.0785-3.07854
293334.2386-1.23856
303434.7325-0.732457
313133.9108-2.91075
322733.484-6.48397
333733.65553.34449
343436.8862-2.88617
353432.59211.40789
363234.4973-2.49734
372932.4427-3.4427
383634.23261.76739
392933.9249-4.9249
403534.660.340021
413734.3712.62897
423434.0024-0.00237794
433834.14463.85543
443533.81931.18073
453832.22995.77008
463734.43492.56506
473837.19740.80257
483334.9801-1.98006
493636.1511-0.151098
503833.78634.21369
513236.5475-4.54754
523232.7558-0.75577
533233.3166-1.31661
543437.2686-3.26862
553233.2624-1.26243
563735.51241.48763
573934.8034.19701
582935.0219-6.0219
593735.53241.46756
603534.79350.206455
613031.3288-1.32884
623834.61953.38047
633435.0982-1.09825
643134.4981-3.49808
653433.11690.883124
663536.2941-1.2941
673635.12560.87436
683031.5854-1.58541
693936.62032.3797
703535.8725-0.872514
713835.52.49995
723135.8406-4.84057
733436.8852-2.88524
743837.56890.431145
753431.81482.18519
763933.14385.85622
773735.88881.11124
783433.4310.569013
792833.1311-5.13108
803731.49435.50567
813335.4326-2.43258
823536.3151-1.31513
833733.95723.04285
843234.6402-2.64025
853333.5611-0.561087
863836.70571.29428
873334.576-1.57602
882933.302-4.30197
893333.5743-0.574309
903135.4435-4.44349
913633.17812.82194
923537.5394-2.5394
933231.70010.299862
942932.4408-3.44081
953935.56893.43114
963734.80762.19243
973533.46461.53538
983734.62522.37478
993235.4851-3.48506
1003835.28952.71049
1013734.9382.06201
1023636.3364-0.336366
1033232.0873-0.0873088
1043336.5455-3.54549
1054032.8487.15195
1063835.28782.71221
1074136.4234.57701
1083634.52561.47436
1094337.03715.96286
1103034.6786-4.67855
1113133.6545-2.65448
1123238.1946-6.1946
1133231.41950.580487
1143734.37192.62812
1153734.20642.79357
1163336.3317-3.33167
1173437.3803-3.38025
1183334.7106-1.7106
1193835.51592.48406
1203334.9961-1.99607
1213131.2983-0.298304
1223836.58621.41376
1233736.36070.639289
1243633.09132.90867
1253133.7907-2.79068
1263934.14774.85227
1274436.73287.26719
1283336.0825-3.08248
1293533.5691.43102
1303233.955-1.95504
1312832.3818-4.38179
1324036.01873.98133
1332732.0669-5.06695
1343736.01930.980696
1353232.414-0.413962
1362828.2183-0.218293
1373434.946-0.946026
1383034.095-4.09502
1393534.21770.782283
1403134.2231-3.22312
1413234.3858-2.38579
1423035.8176-5.81757
1433034.9671-4.96715
1443129.63011.36993
1454033.11536.88468
1463231.60820.391752
1473634.71511.28486
1483233.1218-1.1218
1493533.15331.8467
1503836.52451.47552
1514235.09716.90286
1523436.0227-2.02267
1533536.828-1.82798
1543834.01423.98584
1553332.8540.146046
1563632.79323.20683
1573235.5869-3.58689
1583335.9048-2.90484
1593433.76260.237386
1603235.5369-3.5369
1613435.2844-1.28438
1622730.2318-3.23184
1633130.36550.634517
1643833.53284.4672
1653435.9278-1.92779
1662431.2167-7.21668
1673033.7618-3.76176
1682629.5367-3.5367
1693435.5094-1.50941
1702734.6746-7.67458
1713732.26474.73527
1723635.4490.550986
1734134.2786.72202
1742929.2426-0.242586
1753631.08554.91451
1763234.2872-2.28718
1773733.43743.56258
1783031.667-1.66704
1793132.769-1.76897
1803834.66843.33162
1813634.66591.33406
1823532.31352.68648
1833135.2336-4.23359
1843833.24244.75757
1852231.0861-9.0861
1863234.335-2.33497
1873633.89092.10911
1883932.82486.17515
1892830.4535-2.45349
1903234.4282-2.42822
1913232.362-0.36198
1923836.51751.48251
1933233.5893-1.58925
1943535.3923-0.392318
1953232.8818-0.881836
1963735.72831.27173
1973432.68811.31194
1983335.3988-2.39879
1993332.88270.117293
2002632.7642-6.76418
2013032.1798-2.17978
2022431.846-7.846
2033431.96542.03455
2043432.49061.5094
2053334.0554-1.05544
2063434.7357-0.735713
2073535.9498-0.949795
2083534.18370.81629
2093633.12222.8778
2103433.59190.408077
2113432.75231.24774
2124138.27192.72815
2133236.1009-4.10093
2143033.3786-3.37863
2153533.84871.15128
2162829.9493-1.9493
2173334.8109-1.81088
2183934.1794.82097
2193633.36982.63019
2203636.2484-0.248449
2213533.10431.89573
2223833.79984.20019
2233332.61820.381751
2243132.9143-1.91425
2253431.86932.13073
2263234.2469-2.24692
2273132.6305-1.63053
2283333.0426-0.0425504
2293432.59661.40337
2303433.9420.0579603
2313432.11881.88119
2323335.0885-2.08851
2333234.1813-2.1813
2344133.44667.55344
2353432.89211.10795
2363631.96144.03863
2373731.46255.53754
2383630.28545.71459
2392932.3616-3.36161
2403731.71975.28029
2412733.0183-6.01832
2423533.2851.71502
2432830.6218-2.62183
2443533.03791.96213
2453732.94414.05587
2462933.5108-4.51082
2473234.0979-2.09788
2483631.62464.37535
2491927.4943-8.49433
2502126.5858-5.58583
2513133.265-2.26497
2523332.30080.699156
2533633.772.23003
2543333.101-0.100961
2553732.93224.06776
2563433.09940.900581
2573534.15470.845315
2583132.6258-1.62583
2593733.15423.84584
2603531.79623.20378
2612731.5739-4.57388
2623434.6452-0.645229
2634033.72016.27988
2642932.6133-3.61334

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 41 & 36.1438 & 4.85619 \tabularnewline
2 & 39 & 34.6852 & 4.31483 \tabularnewline
3 & 30 & 35.6869 & -5.68693 \tabularnewline
4 & 31 & 34.9407 & -3.94068 \tabularnewline
5 & 34 & 35.7295 & -1.72947 \tabularnewline
6 & 35 & 32.852 & 2.14801 \tabularnewline
7 & 39 & 33.9372 & 5.06282 \tabularnewline
8 & 34 & 35.9406 & -1.94057 \tabularnewline
9 & 36 & 35.4372 & 0.562772 \tabularnewline
10 & 37 & 37.038 & -0.0379845 \tabularnewline
11 & 38 & 34.301 & 3.69902 \tabularnewline
12 & 36 & 34.9813 & 1.0187 \tabularnewline
13 & 38 & 35.3998 & 2.60018 \tabularnewline
14 & 39 & 36.4507 & 2.54933 \tabularnewline
15 & 33 & 36.6399 & -3.63992 \tabularnewline
16 & 32 & 34.2504 & -2.25038 \tabularnewline
17 & 36 & 34.095 & 1.90496 \tabularnewline
18 & 38 & 37.6102 & 0.389769 \tabularnewline
19 & 39 & 37.2586 & 1.74138 \tabularnewline
20 & 32 & 34.0281 & -2.02812 \tabularnewline
21 & 32 & 34.8061 & -2.80614 \tabularnewline
22 & 31 & 33.8865 & -2.88652 \tabularnewline
23 & 39 & 36.6669 & 2.33309 \tabularnewline
24 & 37 & 37.2024 & -0.202381 \tabularnewline
25 & 39 & 34.5272 & 4.47276 \tabularnewline
26 & 41 & 34.2133 & 6.78672 \tabularnewline
27 & 36 & 35.2622 & 0.737837 \tabularnewline
28 & 33 & 36.0785 & -3.07854 \tabularnewline
29 & 33 & 34.2386 & -1.23856 \tabularnewline
30 & 34 & 34.7325 & -0.732457 \tabularnewline
31 & 31 & 33.9108 & -2.91075 \tabularnewline
32 & 27 & 33.484 & -6.48397 \tabularnewline
33 & 37 & 33.6555 & 3.34449 \tabularnewline
34 & 34 & 36.8862 & -2.88617 \tabularnewline
35 & 34 & 32.5921 & 1.40789 \tabularnewline
36 & 32 & 34.4973 & -2.49734 \tabularnewline
37 & 29 & 32.4427 & -3.4427 \tabularnewline
38 & 36 & 34.2326 & 1.76739 \tabularnewline
39 & 29 & 33.9249 & -4.9249 \tabularnewline
40 & 35 & 34.66 & 0.340021 \tabularnewline
41 & 37 & 34.371 & 2.62897 \tabularnewline
42 & 34 & 34.0024 & -0.00237794 \tabularnewline
43 & 38 & 34.1446 & 3.85543 \tabularnewline
44 & 35 & 33.8193 & 1.18073 \tabularnewline
45 & 38 & 32.2299 & 5.77008 \tabularnewline
46 & 37 & 34.4349 & 2.56506 \tabularnewline
47 & 38 & 37.1974 & 0.80257 \tabularnewline
48 & 33 & 34.9801 & -1.98006 \tabularnewline
49 & 36 & 36.1511 & -0.151098 \tabularnewline
50 & 38 & 33.7863 & 4.21369 \tabularnewline
51 & 32 & 36.5475 & -4.54754 \tabularnewline
52 & 32 & 32.7558 & -0.75577 \tabularnewline
53 & 32 & 33.3166 & -1.31661 \tabularnewline
54 & 34 & 37.2686 & -3.26862 \tabularnewline
55 & 32 & 33.2624 & -1.26243 \tabularnewline
56 & 37 & 35.5124 & 1.48763 \tabularnewline
57 & 39 & 34.803 & 4.19701 \tabularnewline
58 & 29 & 35.0219 & -6.0219 \tabularnewline
59 & 37 & 35.5324 & 1.46756 \tabularnewline
60 & 35 & 34.7935 & 0.206455 \tabularnewline
61 & 30 & 31.3288 & -1.32884 \tabularnewline
62 & 38 & 34.6195 & 3.38047 \tabularnewline
63 & 34 & 35.0982 & -1.09825 \tabularnewline
64 & 31 & 34.4981 & -3.49808 \tabularnewline
65 & 34 & 33.1169 & 0.883124 \tabularnewline
66 & 35 & 36.2941 & -1.2941 \tabularnewline
67 & 36 & 35.1256 & 0.87436 \tabularnewline
68 & 30 & 31.5854 & -1.58541 \tabularnewline
69 & 39 & 36.6203 & 2.3797 \tabularnewline
70 & 35 & 35.8725 & -0.872514 \tabularnewline
71 & 38 & 35.5 & 2.49995 \tabularnewline
72 & 31 & 35.8406 & -4.84057 \tabularnewline
73 & 34 & 36.8852 & -2.88524 \tabularnewline
74 & 38 & 37.5689 & 0.431145 \tabularnewline
75 & 34 & 31.8148 & 2.18519 \tabularnewline
76 & 39 & 33.1438 & 5.85622 \tabularnewline
77 & 37 & 35.8888 & 1.11124 \tabularnewline
78 & 34 & 33.431 & 0.569013 \tabularnewline
79 & 28 & 33.1311 & -5.13108 \tabularnewline
80 & 37 & 31.4943 & 5.50567 \tabularnewline
81 & 33 & 35.4326 & -2.43258 \tabularnewline
82 & 35 & 36.3151 & -1.31513 \tabularnewline
83 & 37 & 33.9572 & 3.04285 \tabularnewline
84 & 32 & 34.6402 & -2.64025 \tabularnewline
85 & 33 & 33.5611 & -0.561087 \tabularnewline
86 & 38 & 36.7057 & 1.29428 \tabularnewline
87 & 33 & 34.576 & -1.57602 \tabularnewline
88 & 29 & 33.302 & -4.30197 \tabularnewline
89 & 33 & 33.5743 & -0.574309 \tabularnewline
90 & 31 & 35.4435 & -4.44349 \tabularnewline
91 & 36 & 33.1781 & 2.82194 \tabularnewline
92 & 35 & 37.5394 & -2.5394 \tabularnewline
93 & 32 & 31.7001 & 0.299862 \tabularnewline
94 & 29 & 32.4408 & -3.44081 \tabularnewline
95 & 39 & 35.5689 & 3.43114 \tabularnewline
96 & 37 & 34.8076 & 2.19243 \tabularnewline
97 & 35 & 33.4646 & 1.53538 \tabularnewline
98 & 37 & 34.6252 & 2.37478 \tabularnewline
99 & 32 & 35.4851 & -3.48506 \tabularnewline
100 & 38 & 35.2895 & 2.71049 \tabularnewline
101 & 37 & 34.938 & 2.06201 \tabularnewline
102 & 36 & 36.3364 & -0.336366 \tabularnewline
103 & 32 & 32.0873 & -0.0873088 \tabularnewline
104 & 33 & 36.5455 & -3.54549 \tabularnewline
105 & 40 & 32.848 & 7.15195 \tabularnewline
106 & 38 & 35.2878 & 2.71221 \tabularnewline
107 & 41 & 36.423 & 4.57701 \tabularnewline
108 & 36 & 34.5256 & 1.47436 \tabularnewline
109 & 43 & 37.0371 & 5.96286 \tabularnewline
110 & 30 & 34.6786 & -4.67855 \tabularnewline
111 & 31 & 33.6545 & -2.65448 \tabularnewline
112 & 32 & 38.1946 & -6.1946 \tabularnewline
113 & 32 & 31.4195 & 0.580487 \tabularnewline
114 & 37 & 34.3719 & 2.62812 \tabularnewline
115 & 37 & 34.2064 & 2.79357 \tabularnewline
116 & 33 & 36.3317 & -3.33167 \tabularnewline
117 & 34 & 37.3803 & -3.38025 \tabularnewline
118 & 33 & 34.7106 & -1.7106 \tabularnewline
119 & 38 & 35.5159 & 2.48406 \tabularnewline
120 & 33 & 34.9961 & -1.99607 \tabularnewline
121 & 31 & 31.2983 & -0.298304 \tabularnewline
122 & 38 & 36.5862 & 1.41376 \tabularnewline
123 & 37 & 36.3607 & 0.639289 \tabularnewline
124 & 36 & 33.0913 & 2.90867 \tabularnewline
125 & 31 & 33.7907 & -2.79068 \tabularnewline
126 & 39 & 34.1477 & 4.85227 \tabularnewline
127 & 44 & 36.7328 & 7.26719 \tabularnewline
128 & 33 & 36.0825 & -3.08248 \tabularnewline
129 & 35 & 33.569 & 1.43102 \tabularnewline
130 & 32 & 33.955 & -1.95504 \tabularnewline
131 & 28 & 32.3818 & -4.38179 \tabularnewline
132 & 40 & 36.0187 & 3.98133 \tabularnewline
133 & 27 & 32.0669 & -5.06695 \tabularnewline
134 & 37 & 36.0193 & 0.980696 \tabularnewline
135 & 32 & 32.414 & -0.413962 \tabularnewline
136 & 28 & 28.2183 & -0.218293 \tabularnewline
137 & 34 & 34.946 & -0.946026 \tabularnewline
138 & 30 & 34.095 & -4.09502 \tabularnewline
139 & 35 & 34.2177 & 0.782283 \tabularnewline
140 & 31 & 34.2231 & -3.22312 \tabularnewline
141 & 32 & 34.3858 & -2.38579 \tabularnewline
142 & 30 & 35.8176 & -5.81757 \tabularnewline
143 & 30 & 34.9671 & -4.96715 \tabularnewline
144 & 31 & 29.6301 & 1.36993 \tabularnewline
145 & 40 & 33.1153 & 6.88468 \tabularnewline
146 & 32 & 31.6082 & 0.391752 \tabularnewline
147 & 36 & 34.7151 & 1.28486 \tabularnewline
148 & 32 & 33.1218 & -1.1218 \tabularnewline
149 & 35 & 33.1533 & 1.8467 \tabularnewline
150 & 38 & 36.5245 & 1.47552 \tabularnewline
151 & 42 & 35.0971 & 6.90286 \tabularnewline
152 & 34 & 36.0227 & -2.02267 \tabularnewline
153 & 35 & 36.828 & -1.82798 \tabularnewline
154 & 38 & 34.0142 & 3.98584 \tabularnewline
155 & 33 & 32.854 & 0.146046 \tabularnewline
156 & 36 & 32.7932 & 3.20683 \tabularnewline
157 & 32 & 35.5869 & -3.58689 \tabularnewline
158 & 33 & 35.9048 & -2.90484 \tabularnewline
159 & 34 & 33.7626 & 0.237386 \tabularnewline
160 & 32 & 35.5369 & -3.5369 \tabularnewline
161 & 34 & 35.2844 & -1.28438 \tabularnewline
162 & 27 & 30.2318 & -3.23184 \tabularnewline
163 & 31 & 30.3655 & 0.634517 \tabularnewline
164 & 38 & 33.5328 & 4.4672 \tabularnewline
165 & 34 & 35.9278 & -1.92779 \tabularnewline
166 & 24 & 31.2167 & -7.21668 \tabularnewline
167 & 30 & 33.7618 & -3.76176 \tabularnewline
168 & 26 & 29.5367 & -3.5367 \tabularnewline
169 & 34 & 35.5094 & -1.50941 \tabularnewline
170 & 27 & 34.6746 & -7.67458 \tabularnewline
171 & 37 & 32.2647 & 4.73527 \tabularnewline
172 & 36 & 35.449 & 0.550986 \tabularnewline
173 & 41 & 34.278 & 6.72202 \tabularnewline
174 & 29 & 29.2426 & -0.242586 \tabularnewline
175 & 36 & 31.0855 & 4.91451 \tabularnewline
176 & 32 & 34.2872 & -2.28718 \tabularnewline
177 & 37 & 33.4374 & 3.56258 \tabularnewline
178 & 30 & 31.667 & -1.66704 \tabularnewline
179 & 31 & 32.769 & -1.76897 \tabularnewline
180 & 38 & 34.6684 & 3.33162 \tabularnewline
181 & 36 & 34.6659 & 1.33406 \tabularnewline
182 & 35 & 32.3135 & 2.68648 \tabularnewline
183 & 31 & 35.2336 & -4.23359 \tabularnewline
184 & 38 & 33.2424 & 4.75757 \tabularnewline
185 & 22 & 31.0861 & -9.0861 \tabularnewline
186 & 32 & 34.335 & -2.33497 \tabularnewline
187 & 36 & 33.8909 & 2.10911 \tabularnewline
188 & 39 & 32.8248 & 6.17515 \tabularnewline
189 & 28 & 30.4535 & -2.45349 \tabularnewline
190 & 32 & 34.4282 & -2.42822 \tabularnewline
191 & 32 & 32.362 & -0.36198 \tabularnewline
192 & 38 & 36.5175 & 1.48251 \tabularnewline
193 & 32 & 33.5893 & -1.58925 \tabularnewline
194 & 35 & 35.3923 & -0.392318 \tabularnewline
195 & 32 & 32.8818 & -0.881836 \tabularnewline
196 & 37 & 35.7283 & 1.27173 \tabularnewline
197 & 34 & 32.6881 & 1.31194 \tabularnewline
198 & 33 & 35.3988 & -2.39879 \tabularnewline
199 & 33 & 32.8827 & 0.117293 \tabularnewline
200 & 26 & 32.7642 & -6.76418 \tabularnewline
201 & 30 & 32.1798 & -2.17978 \tabularnewline
202 & 24 & 31.846 & -7.846 \tabularnewline
203 & 34 & 31.9654 & 2.03455 \tabularnewline
204 & 34 & 32.4906 & 1.5094 \tabularnewline
205 & 33 & 34.0554 & -1.05544 \tabularnewline
206 & 34 & 34.7357 & -0.735713 \tabularnewline
207 & 35 & 35.9498 & -0.949795 \tabularnewline
208 & 35 & 34.1837 & 0.81629 \tabularnewline
209 & 36 & 33.1222 & 2.8778 \tabularnewline
210 & 34 & 33.5919 & 0.408077 \tabularnewline
211 & 34 & 32.7523 & 1.24774 \tabularnewline
212 & 41 & 38.2719 & 2.72815 \tabularnewline
213 & 32 & 36.1009 & -4.10093 \tabularnewline
214 & 30 & 33.3786 & -3.37863 \tabularnewline
215 & 35 & 33.8487 & 1.15128 \tabularnewline
216 & 28 & 29.9493 & -1.9493 \tabularnewline
217 & 33 & 34.8109 & -1.81088 \tabularnewline
218 & 39 & 34.179 & 4.82097 \tabularnewline
219 & 36 & 33.3698 & 2.63019 \tabularnewline
220 & 36 & 36.2484 & -0.248449 \tabularnewline
221 & 35 & 33.1043 & 1.89573 \tabularnewline
222 & 38 & 33.7998 & 4.20019 \tabularnewline
223 & 33 & 32.6182 & 0.381751 \tabularnewline
224 & 31 & 32.9143 & -1.91425 \tabularnewline
225 & 34 & 31.8693 & 2.13073 \tabularnewline
226 & 32 & 34.2469 & -2.24692 \tabularnewline
227 & 31 & 32.6305 & -1.63053 \tabularnewline
228 & 33 & 33.0426 & -0.0425504 \tabularnewline
229 & 34 & 32.5966 & 1.40337 \tabularnewline
230 & 34 & 33.942 & 0.0579603 \tabularnewline
231 & 34 & 32.1188 & 1.88119 \tabularnewline
232 & 33 & 35.0885 & -2.08851 \tabularnewline
233 & 32 & 34.1813 & -2.1813 \tabularnewline
234 & 41 & 33.4466 & 7.55344 \tabularnewline
235 & 34 & 32.8921 & 1.10795 \tabularnewline
236 & 36 & 31.9614 & 4.03863 \tabularnewline
237 & 37 & 31.4625 & 5.53754 \tabularnewline
238 & 36 & 30.2854 & 5.71459 \tabularnewline
239 & 29 & 32.3616 & -3.36161 \tabularnewline
240 & 37 & 31.7197 & 5.28029 \tabularnewline
241 & 27 & 33.0183 & -6.01832 \tabularnewline
242 & 35 & 33.285 & 1.71502 \tabularnewline
243 & 28 & 30.6218 & -2.62183 \tabularnewline
244 & 35 & 33.0379 & 1.96213 \tabularnewline
245 & 37 & 32.9441 & 4.05587 \tabularnewline
246 & 29 & 33.5108 & -4.51082 \tabularnewline
247 & 32 & 34.0979 & -2.09788 \tabularnewline
248 & 36 & 31.6246 & 4.37535 \tabularnewline
249 & 19 & 27.4943 & -8.49433 \tabularnewline
250 & 21 & 26.5858 & -5.58583 \tabularnewline
251 & 31 & 33.265 & -2.26497 \tabularnewline
252 & 33 & 32.3008 & 0.699156 \tabularnewline
253 & 36 & 33.77 & 2.23003 \tabularnewline
254 & 33 & 33.101 & -0.100961 \tabularnewline
255 & 37 & 32.9322 & 4.06776 \tabularnewline
256 & 34 & 33.0994 & 0.900581 \tabularnewline
257 & 35 & 34.1547 & 0.845315 \tabularnewline
258 & 31 & 32.6258 & -1.62583 \tabularnewline
259 & 37 & 33.1542 & 3.84584 \tabularnewline
260 & 35 & 31.7962 & 3.20378 \tabularnewline
261 & 27 & 31.5739 & -4.57388 \tabularnewline
262 & 34 & 34.6452 & -0.645229 \tabularnewline
263 & 40 & 33.7201 & 6.27988 \tabularnewline
264 & 29 & 32.6133 & -3.61334 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=222029&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]41[/C][C]36.1438[/C][C]4.85619[/C][/ROW]
[ROW][C]2[/C][C]39[/C][C]34.6852[/C][C]4.31483[/C][/ROW]
[ROW][C]3[/C][C]30[/C][C]35.6869[/C][C]-5.68693[/C][/ROW]
[ROW][C]4[/C][C]31[/C][C]34.9407[/C][C]-3.94068[/C][/ROW]
[ROW][C]5[/C][C]34[/C][C]35.7295[/C][C]-1.72947[/C][/ROW]
[ROW][C]6[/C][C]35[/C][C]32.852[/C][C]2.14801[/C][/ROW]
[ROW][C]7[/C][C]39[/C][C]33.9372[/C][C]5.06282[/C][/ROW]
[ROW][C]8[/C][C]34[/C][C]35.9406[/C][C]-1.94057[/C][/ROW]
[ROW][C]9[/C][C]36[/C][C]35.4372[/C][C]0.562772[/C][/ROW]
[ROW][C]10[/C][C]37[/C][C]37.038[/C][C]-0.0379845[/C][/ROW]
[ROW][C]11[/C][C]38[/C][C]34.301[/C][C]3.69902[/C][/ROW]
[ROW][C]12[/C][C]36[/C][C]34.9813[/C][C]1.0187[/C][/ROW]
[ROW][C]13[/C][C]38[/C][C]35.3998[/C][C]2.60018[/C][/ROW]
[ROW][C]14[/C][C]39[/C][C]36.4507[/C][C]2.54933[/C][/ROW]
[ROW][C]15[/C][C]33[/C][C]36.6399[/C][C]-3.63992[/C][/ROW]
[ROW][C]16[/C][C]32[/C][C]34.2504[/C][C]-2.25038[/C][/ROW]
[ROW][C]17[/C][C]36[/C][C]34.095[/C][C]1.90496[/C][/ROW]
[ROW][C]18[/C][C]38[/C][C]37.6102[/C][C]0.389769[/C][/ROW]
[ROW][C]19[/C][C]39[/C][C]37.2586[/C][C]1.74138[/C][/ROW]
[ROW][C]20[/C][C]32[/C][C]34.0281[/C][C]-2.02812[/C][/ROW]
[ROW][C]21[/C][C]32[/C][C]34.8061[/C][C]-2.80614[/C][/ROW]
[ROW][C]22[/C][C]31[/C][C]33.8865[/C][C]-2.88652[/C][/ROW]
[ROW][C]23[/C][C]39[/C][C]36.6669[/C][C]2.33309[/C][/ROW]
[ROW][C]24[/C][C]37[/C][C]37.2024[/C][C]-0.202381[/C][/ROW]
[ROW][C]25[/C][C]39[/C][C]34.5272[/C][C]4.47276[/C][/ROW]
[ROW][C]26[/C][C]41[/C][C]34.2133[/C][C]6.78672[/C][/ROW]
[ROW][C]27[/C][C]36[/C][C]35.2622[/C][C]0.737837[/C][/ROW]
[ROW][C]28[/C][C]33[/C][C]36.0785[/C][C]-3.07854[/C][/ROW]
[ROW][C]29[/C][C]33[/C][C]34.2386[/C][C]-1.23856[/C][/ROW]
[ROW][C]30[/C][C]34[/C][C]34.7325[/C][C]-0.732457[/C][/ROW]
[ROW][C]31[/C][C]31[/C][C]33.9108[/C][C]-2.91075[/C][/ROW]
[ROW][C]32[/C][C]27[/C][C]33.484[/C][C]-6.48397[/C][/ROW]
[ROW][C]33[/C][C]37[/C][C]33.6555[/C][C]3.34449[/C][/ROW]
[ROW][C]34[/C][C]34[/C][C]36.8862[/C][C]-2.88617[/C][/ROW]
[ROW][C]35[/C][C]34[/C][C]32.5921[/C][C]1.40789[/C][/ROW]
[ROW][C]36[/C][C]32[/C][C]34.4973[/C][C]-2.49734[/C][/ROW]
[ROW][C]37[/C][C]29[/C][C]32.4427[/C][C]-3.4427[/C][/ROW]
[ROW][C]38[/C][C]36[/C][C]34.2326[/C][C]1.76739[/C][/ROW]
[ROW][C]39[/C][C]29[/C][C]33.9249[/C][C]-4.9249[/C][/ROW]
[ROW][C]40[/C][C]35[/C][C]34.66[/C][C]0.340021[/C][/ROW]
[ROW][C]41[/C][C]37[/C][C]34.371[/C][C]2.62897[/C][/ROW]
[ROW][C]42[/C][C]34[/C][C]34.0024[/C][C]-0.00237794[/C][/ROW]
[ROW][C]43[/C][C]38[/C][C]34.1446[/C][C]3.85543[/C][/ROW]
[ROW][C]44[/C][C]35[/C][C]33.8193[/C][C]1.18073[/C][/ROW]
[ROW][C]45[/C][C]38[/C][C]32.2299[/C][C]5.77008[/C][/ROW]
[ROW][C]46[/C][C]37[/C][C]34.4349[/C][C]2.56506[/C][/ROW]
[ROW][C]47[/C][C]38[/C][C]37.1974[/C][C]0.80257[/C][/ROW]
[ROW][C]48[/C][C]33[/C][C]34.9801[/C][C]-1.98006[/C][/ROW]
[ROW][C]49[/C][C]36[/C][C]36.1511[/C][C]-0.151098[/C][/ROW]
[ROW][C]50[/C][C]38[/C][C]33.7863[/C][C]4.21369[/C][/ROW]
[ROW][C]51[/C][C]32[/C][C]36.5475[/C][C]-4.54754[/C][/ROW]
[ROW][C]52[/C][C]32[/C][C]32.7558[/C][C]-0.75577[/C][/ROW]
[ROW][C]53[/C][C]32[/C][C]33.3166[/C][C]-1.31661[/C][/ROW]
[ROW][C]54[/C][C]34[/C][C]37.2686[/C][C]-3.26862[/C][/ROW]
[ROW][C]55[/C][C]32[/C][C]33.2624[/C][C]-1.26243[/C][/ROW]
[ROW][C]56[/C][C]37[/C][C]35.5124[/C][C]1.48763[/C][/ROW]
[ROW][C]57[/C][C]39[/C][C]34.803[/C][C]4.19701[/C][/ROW]
[ROW][C]58[/C][C]29[/C][C]35.0219[/C][C]-6.0219[/C][/ROW]
[ROW][C]59[/C][C]37[/C][C]35.5324[/C][C]1.46756[/C][/ROW]
[ROW][C]60[/C][C]35[/C][C]34.7935[/C][C]0.206455[/C][/ROW]
[ROW][C]61[/C][C]30[/C][C]31.3288[/C][C]-1.32884[/C][/ROW]
[ROW][C]62[/C][C]38[/C][C]34.6195[/C][C]3.38047[/C][/ROW]
[ROW][C]63[/C][C]34[/C][C]35.0982[/C][C]-1.09825[/C][/ROW]
[ROW][C]64[/C][C]31[/C][C]34.4981[/C][C]-3.49808[/C][/ROW]
[ROW][C]65[/C][C]34[/C][C]33.1169[/C][C]0.883124[/C][/ROW]
[ROW][C]66[/C][C]35[/C][C]36.2941[/C][C]-1.2941[/C][/ROW]
[ROW][C]67[/C][C]36[/C][C]35.1256[/C][C]0.87436[/C][/ROW]
[ROW][C]68[/C][C]30[/C][C]31.5854[/C][C]-1.58541[/C][/ROW]
[ROW][C]69[/C][C]39[/C][C]36.6203[/C][C]2.3797[/C][/ROW]
[ROW][C]70[/C][C]35[/C][C]35.8725[/C][C]-0.872514[/C][/ROW]
[ROW][C]71[/C][C]38[/C][C]35.5[/C][C]2.49995[/C][/ROW]
[ROW][C]72[/C][C]31[/C][C]35.8406[/C][C]-4.84057[/C][/ROW]
[ROW][C]73[/C][C]34[/C][C]36.8852[/C][C]-2.88524[/C][/ROW]
[ROW][C]74[/C][C]38[/C][C]37.5689[/C][C]0.431145[/C][/ROW]
[ROW][C]75[/C][C]34[/C][C]31.8148[/C][C]2.18519[/C][/ROW]
[ROW][C]76[/C][C]39[/C][C]33.1438[/C][C]5.85622[/C][/ROW]
[ROW][C]77[/C][C]37[/C][C]35.8888[/C][C]1.11124[/C][/ROW]
[ROW][C]78[/C][C]34[/C][C]33.431[/C][C]0.569013[/C][/ROW]
[ROW][C]79[/C][C]28[/C][C]33.1311[/C][C]-5.13108[/C][/ROW]
[ROW][C]80[/C][C]37[/C][C]31.4943[/C][C]5.50567[/C][/ROW]
[ROW][C]81[/C][C]33[/C][C]35.4326[/C][C]-2.43258[/C][/ROW]
[ROW][C]82[/C][C]35[/C][C]36.3151[/C][C]-1.31513[/C][/ROW]
[ROW][C]83[/C][C]37[/C][C]33.9572[/C][C]3.04285[/C][/ROW]
[ROW][C]84[/C][C]32[/C][C]34.6402[/C][C]-2.64025[/C][/ROW]
[ROW][C]85[/C][C]33[/C][C]33.5611[/C][C]-0.561087[/C][/ROW]
[ROW][C]86[/C][C]38[/C][C]36.7057[/C][C]1.29428[/C][/ROW]
[ROW][C]87[/C][C]33[/C][C]34.576[/C][C]-1.57602[/C][/ROW]
[ROW][C]88[/C][C]29[/C][C]33.302[/C][C]-4.30197[/C][/ROW]
[ROW][C]89[/C][C]33[/C][C]33.5743[/C][C]-0.574309[/C][/ROW]
[ROW][C]90[/C][C]31[/C][C]35.4435[/C][C]-4.44349[/C][/ROW]
[ROW][C]91[/C][C]36[/C][C]33.1781[/C][C]2.82194[/C][/ROW]
[ROW][C]92[/C][C]35[/C][C]37.5394[/C][C]-2.5394[/C][/ROW]
[ROW][C]93[/C][C]32[/C][C]31.7001[/C][C]0.299862[/C][/ROW]
[ROW][C]94[/C][C]29[/C][C]32.4408[/C][C]-3.44081[/C][/ROW]
[ROW][C]95[/C][C]39[/C][C]35.5689[/C][C]3.43114[/C][/ROW]
[ROW][C]96[/C][C]37[/C][C]34.8076[/C][C]2.19243[/C][/ROW]
[ROW][C]97[/C][C]35[/C][C]33.4646[/C][C]1.53538[/C][/ROW]
[ROW][C]98[/C][C]37[/C][C]34.6252[/C][C]2.37478[/C][/ROW]
[ROW][C]99[/C][C]32[/C][C]35.4851[/C][C]-3.48506[/C][/ROW]
[ROW][C]100[/C][C]38[/C][C]35.2895[/C][C]2.71049[/C][/ROW]
[ROW][C]101[/C][C]37[/C][C]34.938[/C][C]2.06201[/C][/ROW]
[ROW][C]102[/C][C]36[/C][C]36.3364[/C][C]-0.336366[/C][/ROW]
[ROW][C]103[/C][C]32[/C][C]32.0873[/C][C]-0.0873088[/C][/ROW]
[ROW][C]104[/C][C]33[/C][C]36.5455[/C][C]-3.54549[/C][/ROW]
[ROW][C]105[/C][C]40[/C][C]32.848[/C][C]7.15195[/C][/ROW]
[ROW][C]106[/C][C]38[/C][C]35.2878[/C][C]2.71221[/C][/ROW]
[ROW][C]107[/C][C]41[/C][C]36.423[/C][C]4.57701[/C][/ROW]
[ROW][C]108[/C][C]36[/C][C]34.5256[/C][C]1.47436[/C][/ROW]
[ROW][C]109[/C][C]43[/C][C]37.0371[/C][C]5.96286[/C][/ROW]
[ROW][C]110[/C][C]30[/C][C]34.6786[/C][C]-4.67855[/C][/ROW]
[ROW][C]111[/C][C]31[/C][C]33.6545[/C][C]-2.65448[/C][/ROW]
[ROW][C]112[/C][C]32[/C][C]38.1946[/C][C]-6.1946[/C][/ROW]
[ROW][C]113[/C][C]32[/C][C]31.4195[/C][C]0.580487[/C][/ROW]
[ROW][C]114[/C][C]37[/C][C]34.3719[/C][C]2.62812[/C][/ROW]
[ROW][C]115[/C][C]37[/C][C]34.2064[/C][C]2.79357[/C][/ROW]
[ROW][C]116[/C][C]33[/C][C]36.3317[/C][C]-3.33167[/C][/ROW]
[ROW][C]117[/C][C]34[/C][C]37.3803[/C][C]-3.38025[/C][/ROW]
[ROW][C]118[/C][C]33[/C][C]34.7106[/C][C]-1.7106[/C][/ROW]
[ROW][C]119[/C][C]38[/C][C]35.5159[/C][C]2.48406[/C][/ROW]
[ROW][C]120[/C][C]33[/C][C]34.9961[/C][C]-1.99607[/C][/ROW]
[ROW][C]121[/C][C]31[/C][C]31.2983[/C][C]-0.298304[/C][/ROW]
[ROW][C]122[/C][C]38[/C][C]36.5862[/C][C]1.41376[/C][/ROW]
[ROW][C]123[/C][C]37[/C][C]36.3607[/C][C]0.639289[/C][/ROW]
[ROW][C]124[/C][C]36[/C][C]33.0913[/C][C]2.90867[/C][/ROW]
[ROW][C]125[/C][C]31[/C][C]33.7907[/C][C]-2.79068[/C][/ROW]
[ROW][C]126[/C][C]39[/C][C]34.1477[/C][C]4.85227[/C][/ROW]
[ROW][C]127[/C][C]44[/C][C]36.7328[/C][C]7.26719[/C][/ROW]
[ROW][C]128[/C][C]33[/C][C]36.0825[/C][C]-3.08248[/C][/ROW]
[ROW][C]129[/C][C]35[/C][C]33.569[/C][C]1.43102[/C][/ROW]
[ROW][C]130[/C][C]32[/C][C]33.955[/C][C]-1.95504[/C][/ROW]
[ROW][C]131[/C][C]28[/C][C]32.3818[/C][C]-4.38179[/C][/ROW]
[ROW][C]132[/C][C]40[/C][C]36.0187[/C][C]3.98133[/C][/ROW]
[ROW][C]133[/C][C]27[/C][C]32.0669[/C][C]-5.06695[/C][/ROW]
[ROW][C]134[/C][C]37[/C][C]36.0193[/C][C]0.980696[/C][/ROW]
[ROW][C]135[/C][C]32[/C][C]32.414[/C][C]-0.413962[/C][/ROW]
[ROW][C]136[/C][C]28[/C][C]28.2183[/C][C]-0.218293[/C][/ROW]
[ROW][C]137[/C][C]34[/C][C]34.946[/C][C]-0.946026[/C][/ROW]
[ROW][C]138[/C][C]30[/C][C]34.095[/C][C]-4.09502[/C][/ROW]
[ROW][C]139[/C][C]35[/C][C]34.2177[/C][C]0.782283[/C][/ROW]
[ROW][C]140[/C][C]31[/C][C]34.2231[/C][C]-3.22312[/C][/ROW]
[ROW][C]141[/C][C]32[/C][C]34.3858[/C][C]-2.38579[/C][/ROW]
[ROW][C]142[/C][C]30[/C][C]35.8176[/C][C]-5.81757[/C][/ROW]
[ROW][C]143[/C][C]30[/C][C]34.9671[/C][C]-4.96715[/C][/ROW]
[ROW][C]144[/C][C]31[/C][C]29.6301[/C][C]1.36993[/C][/ROW]
[ROW][C]145[/C][C]40[/C][C]33.1153[/C][C]6.88468[/C][/ROW]
[ROW][C]146[/C][C]32[/C][C]31.6082[/C][C]0.391752[/C][/ROW]
[ROW][C]147[/C][C]36[/C][C]34.7151[/C][C]1.28486[/C][/ROW]
[ROW][C]148[/C][C]32[/C][C]33.1218[/C][C]-1.1218[/C][/ROW]
[ROW][C]149[/C][C]35[/C][C]33.1533[/C][C]1.8467[/C][/ROW]
[ROW][C]150[/C][C]38[/C][C]36.5245[/C][C]1.47552[/C][/ROW]
[ROW][C]151[/C][C]42[/C][C]35.0971[/C][C]6.90286[/C][/ROW]
[ROW][C]152[/C][C]34[/C][C]36.0227[/C][C]-2.02267[/C][/ROW]
[ROW][C]153[/C][C]35[/C][C]36.828[/C][C]-1.82798[/C][/ROW]
[ROW][C]154[/C][C]38[/C][C]34.0142[/C][C]3.98584[/C][/ROW]
[ROW][C]155[/C][C]33[/C][C]32.854[/C][C]0.146046[/C][/ROW]
[ROW][C]156[/C][C]36[/C][C]32.7932[/C][C]3.20683[/C][/ROW]
[ROW][C]157[/C][C]32[/C][C]35.5869[/C][C]-3.58689[/C][/ROW]
[ROW][C]158[/C][C]33[/C][C]35.9048[/C][C]-2.90484[/C][/ROW]
[ROW][C]159[/C][C]34[/C][C]33.7626[/C][C]0.237386[/C][/ROW]
[ROW][C]160[/C][C]32[/C][C]35.5369[/C][C]-3.5369[/C][/ROW]
[ROW][C]161[/C][C]34[/C][C]35.2844[/C][C]-1.28438[/C][/ROW]
[ROW][C]162[/C][C]27[/C][C]30.2318[/C][C]-3.23184[/C][/ROW]
[ROW][C]163[/C][C]31[/C][C]30.3655[/C][C]0.634517[/C][/ROW]
[ROW][C]164[/C][C]38[/C][C]33.5328[/C][C]4.4672[/C][/ROW]
[ROW][C]165[/C][C]34[/C][C]35.9278[/C][C]-1.92779[/C][/ROW]
[ROW][C]166[/C][C]24[/C][C]31.2167[/C][C]-7.21668[/C][/ROW]
[ROW][C]167[/C][C]30[/C][C]33.7618[/C][C]-3.76176[/C][/ROW]
[ROW][C]168[/C][C]26[/C][C]29.5367[/C][C]-3.5367[/C][/ROW]
[ROW][C]169[/C][C]34[/C][C]35.5094[/C][C]-1.50941[/C][/ROW]
[ROW][C]170[/C][C]27[/C][C]34.6746[/C][C]-7.67458[/C][/ROW]
[ROW][C]171[/C][C]37[/C][C]32.2647[/C][C]4.73527[/C][/ROW]
[ROW][C]172[/C][C]36[/C][C]35.449[/C][C]0.550986[/C][/ROW]
[ROW][C]173[/C][C]41[/C][C]34.278[/C][C]6.72202[/C][/ROW]
[ROW][C]174[/C][C]29[/C][C]29.2426[/C][C]-0.242586[/C][/ROW]
[ROW][C]175[/C][C]36[/C][C]31.0855[/C][C]4.91451[/C][/ROW]
[ROW][C]176[/C][C]32[/C][C]34.2872[/C][C]-2.28718[/C][/ROW]
[ROW][C]177[/C][C]37[/C][C]33.4374[/C][C]3.56258[/C][/ROW]
[ROW][C]178[/C][C]30[/C][C]31.667[/C][C]-1.66704[/C][/ROW]
[ROW][C]179[/C][C]31[/C][C]32.769[/C][C]-1.76897[/C][/ROW]
[ROW][C]180[/C][C]38[/C][C]34.6684[/C][C]3.33162[/C][/ROW]
[ROW][C]181[/C][C]36[/C][C]34.6659[/C][C]1.33406[/C][/ROW]
[ROW][C]182[/C][C]35[/C][C]32.3135[/C][C]2.68648[/C][/ROW]
[ROW][C]183[/C][C]31[/C][C]35.2336[/C][C]-4.23359[/C][/ROW]
[ROW][C]184[/C][C]38[/C][C]33.2424[/C][C]4.75757[/C][/ROW]
[ROW][C]185[/C][C]22[/C][C]31.0861[/C][C]-9.0861[/C][/ROW]
[ROW][C]186[/C][C]32[/C][C]34.335[/C][C]-2.33497[/C][/ROW]
[ROW][C]187[/C][C]36[/C][C]33.8909[/C][C]2.10911[/C][/ROW]
[ROW][C]188[/C][C]39[/C][C]32.8248[/C][C]6.17515[/C][/ROW]
[ROW][C]189[/C][C]28[/C][C]30.4535[/C][C]-2.45349[/C][/ROW]
[ROW][C]190[/C][C]32[/C][C]34.4282[/C][C]-2.42822[/C][/ROW]
[ROW][C]191[/C][C]32[/C][C]32.362[/C][C]-0.36198[/C][/ROW]
[ROW][C]192[/C][C]38[/C][C]36.5175[/C][C]1.48251[/C][/ROW]
[ROW][C]193[/C][C]32[/C][C]33.5893[/C][C]-1.58925[/C][/ROW]
[ROW][C]194[/C][C]35[/C][C]35.3923[/C][C]-0.392318[/C][/ROW]
[ROW][C]195[/C][C]32[/C][C]32.8818[/C][C]-0.881836[/C][/ROW]
[ROW][C]196[/C][C]37[/C][C]35.7283[/C][C]1.27173[/C][/ROW]
[ROW][C]197[/C][C]34[/C][C]32.6881[/C][C]1.31194[/C][/ROW]
[ROW][C]198[/C][C]33[/C][C]35.3988[/C][C]-2.39879[/C][/ROW]
[ROW][C]199[/C][C]33[/C][C]32.8827[/C][C]0.117293[/C][/ROW]
[ROW][C]200[/C][C]26[/C][C]32.7642[/C][C]-6.76418[/C][/ROW]
[ROW][C]201[/C][C]30[/C][C]32.1798[/C][C]-2.17978[/C][/ROW]
[ROW][C]202[/C][C]24[/C][C]31.846[/C][C]-7.846[/C][/ROW]
[ROW][C]203[/C][C]34[/C][C]31.9654[/C][C]2.03455[/C][/ROW]
[ROW][C]204[/C][C]34[/C][C]32.4906[/C][C]1.5094[/C][/ROW]
[ROW][C]205[/C][C]33[/C][C]34.0554[/C][C]-1.05544[/C][/ROW]
[ROW][C]206[/C][C]34[/C][C]34.7357[/C][C]-0.735713[/C][/ROW]
[ROW][C]207[/C][C]35[/C][C]35.9498[/C][C]-0.949795[/C][/ROW]
[ROW][C]208[/C][C]35[/C][C]34.1837[/C][C]0.81629[/C][/ROW]
[ROW][C]209[/C][C]36[/C][C]33.1222[/C][C]2.8778[/C][/ROW]
[ROW][C]210[/C][C]34[/C][C]33.5919[/C][C]0.408077[/C][/ROW]
[ROW][C]211[/C][C]34[/C][C]32.7523[/C][C]1.24774[/C][/ROW]
[ROW][C]212[/C][C]41[/C][C]38.2719[/C][C]2.72815[/C][/ROW]
[ROW][C]213[/C][C]32[/C][C]36.1009[/C][C]-4.10093[/C][/ROW]
[ROW][C]214[/C][C]30[/C][C]33.3786[/C][C]-3.37863[/C][/ROW]
[ROW][C]215[/C][C]35[/C][C]33.8487[/C][C]1.15128[/C][/ROW]
[ROW][C]216[/C][C]28[/C][C]29.9493[/C][C]-1.9493[/C][/ROW]
[ROW][C]217[/C][C]33[/C][C]34.8109[/C][C]-1.81088[/C][/ROW]
[ROW][C]218[/C][C]39[/C][C]34.179[/C][C]4.82097[/C][/ROW]
[ROW][C]219[/C][C]36[/C][C]33.3698[/C][C]2.63019[/C][/ROW]
[ROW][C]220[/C][C]36[/C][C]36.2484[/C][C]-0.248449[/C][/ROW]
[ROW][C]221[/C][C]35[/C][C]33.1043[/C][C]1.89573[/C][/ROW]
[ROW][C]222[/C][C]38[/C][C]33.7998[/C][C]4.20019[/C][/ROW]
[ROW][C]223[/C][C]33[/C][C]32.6182[/C][C]0.381751[/C][/ROW]
[ROW][C]224[/C][C]31[/C][C]32.9143[/C][C]-1.91425[/C][/ROW]
[ROW][C]225[/C][C]34[/C][C]31.8693[/C][C]2.13073[/C][/ROW]
[ROW][C]226[/C][C]32[/C][C]34.2469[/C][C]-2.24692[/C][/ROW]
[ROW][C]227[/C][C]31[/C][C]32.6305[/C][C]-1.63053[/C][/ROW]
[ROW][C]228[/C][C]33[/C][C]33.0426[/C][C]-0.0425504[/C][/ROW]
[ROW][C]229[/C][C]34[/C][C]32.5966[/C][C]1.40337[/C][/ROW]
[ROW][C]230[/C][C]34[/C][C]33.942[/C][C]0.0579603[/C][/ROW]
[ROW][C]231[/C][C]34[/C][C]32.1188[/C][C]1.88119[/C][/ROW]
[ROW][C]232[/C][C]33[/C][C]35.0885[/C][C]-2.08851[/C][/ROW]
[ROW][C]233[/C][C]32[/C][C]34.1813[/C][C]-2.1813[/C][/ROW]
[ROW][C]234[/C][C]41[/C][C]33.4466[/C][C]7.55344[/C][/ROW]
[ROW][C]235[/C][C]34[/C][C]32.8921[/C][C]1.10795[/C][/ROW]
[ROW][C]236[/C][C]36[/C][C]31.9614[/C][C]4.03863[/C][/ROW]
[ROW][C]237[/C][C]37[/C][C]31.4625[/C][C]5.53754[/C][/ROW]
[ROW][C]238[/C][C]36[/C][C]30.2854[/C][C]5.71459[/C][/ROW]
[ROW][C]239[/C][C]29[/C][C]32.3616[/C][C]-3.36161[/C][/ROW]
[ROW][C]240[/C][C]37[/C][C]31.7197[/C][C]5.28029[/C][/ROW]
[ROW][C]241[/C][C]27[/C][C]33.0183[/C][C]-6.01832[/C][/ROW]
[ROW][C]242[/C][C]35[/C][C]33.285[/C][C]1.71502[/C][/ROW]
[ROW][C]243[/C][C]28[/C][C]30.6218[/C][C]-2.62183[/C][/ROW]
[ROW][C]244[/C][C]35[/C][C]33.0379[/C][C]1.96213[/C][/ROW]
[ROW][C]245[/C][C]37[/C][C]32.9441[/C][C]4.05587[/C][/ROW]
[ROW][C]246[/C][C]29[/C][C]33.5108[/C][C]-4.51082[/C][/ROW]
[ROW][C]247[/C][C]32[/C][C]34.0979[/C][C]-2.09788[/C][/ROW]
[ROW][C]248[/C][C]36[/C][C]31.6246[/C][C]4.37535[/C][/ROW]
[ROW][C]249[/C][C]19[/C][C]27.4943[/C][C]-8.49433[/C][/ROW]
[ROW][C]250[/C][C]21[/C][C]26.5858[/C][C]-5.58583[/C][/ROW]
[ROW][C]251[/C][C]31[/C][C]33.265[/C][C]-2.26497[/C][/ROW]
[ROW][C]252[/C][C]33[/C][C]32.3008[/C][C]0.699156[/C][/ROW]
[ROW][C]253[/C][C]36[/C][C]33.77[/C][C]2.23003[/C][/ROW]
[ROW][C]254[/C][C]33[/C][C]33.101[/C][C]-0.100961[/C][/ROW]
[ROW][C]255[/C][C]37[/C][C]32.9322[/C][C]4.06776[/C][/ROW]
[ROW][C]256[/C][C]34[/C][C]33.0994[/C][C]0.900581[/C][/ROW]
[ROW][C]257[/C][C]35[/C][C]34.1547[/C][C]0.845315[/C][/ROW]
[ROW][C]258[/C][C]31[/C][C]32.6258[/C][C]-1.62583[/C][/ROW]
[ROW][C]259[/C][C]37[/C][C]33.1542[/C][C]3.84584[/C][/ROW]
[ROW][C]260[/C][C]35[/C][C]31.7962[/C][C]3.20378[/C][/ROW]
[ROW][C]261[/C][C]27[/C][C]31.5739[/C][C]-4.57388[/C][/ROW]
[ROW][C]262[/C][C]34[/C][C]34.6452[/C][C]-0.645229[/C][/ROW]
[ROW][C]263[/C][C]40[/C][C]33.7201[/C][C]6.27988[/C][/ROW]
[ROW][C]264[/C][C]29[/C][C]32.6133[/C][C]-3.61334[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=222029&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=222029&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
14136.14384.85619
23934.68524.31483
33035.6869-5.68693
43134.9407-3.94068
53435.7295-1.72947
63532.8522.14801
73933.93725.06282
83435.9406-1.94057
93635.43720.562772
103737.038-0.0379845
113834.3013.69902
123634.98131.0187
133835.39982.60018
143936.45072.54933
153336.6399-3.63992
163234.2504-2.25038
173634.0951.90496
183837.61020.389769
193937.25861.74138
203234.0281-2.02812
213234.8061-2.80614
223133.8865-2.88652
233936.66692.33309
243737.2024-0.202381
253934.52724.47276
264134.21336.78672
273635.26220.737837
283336.0785-3.07854
293334.2386-1.23856
303434.7325-0.732457
313133.9108-2.91075
322733.484-6.48397
333733.65553.34449
343436.8862-2.88617
353432.59211.40789
363234.4973-2.49734
372932.4427-3.4427
383634.23261.76739
392933.9249-4.9249
403534.660.340021
413734.3712.62897
423434.0024-0.00237794
433834.14463.85543
443533.81931.18073
453832.22995.77008
463734.43492.56506
473837.19740.80257
483334.9801-1.98006
493636.1511-0.151098
503833.78634.21369
513236.5475-4.54754
523232.7558-0.75577
533233.3166-1.31661
543437.2686-3.26862
553233.2624-1.26243
563735.51241.48763
573934.8034.19701
582935.0219-6.0219
593735.53241.46756
603534.79350.206455
613031.3288-1.32884
623834.61953.38047
633435.0982-1.09825
643134.4981-3.49808
653433.11690.883124
663536.2941-1.2941
673635.12560.87436
683031.5854-1.58541
693936.62032.3797
703535.8725-0.872514
713835.52.49995
723135.8406-4.84057
733436.8852-2.88524
743837.56890.431145
753431.81482.18519
763933.14385.85622
773735.88881.11124
783433.4310.569013
792833.1311-5.13108
803731.49435.50567
813335.4326-2.43258
823536.3151-1.31513
833733.95723.04285
843234.6402-2.64025
853333.5611-0.561087
863836.70571.29428
873334.576-1.57602
882933.302-4.30197
893333.5743-0.574309
903135.4435-4.44349
913633.17812.82194
923537.5394-2.5394
933231.70010.299862
942932.4408-3.44081
953935.56893.43114
963734.80762.19243
973533.46461.53538
983734.62522.37478
993235.4851-3.48506
1003835.28952.71049
1013734.9382.06201
1023636.3364-0.336366
1033232.0873-0.0873088
1043336.5455-3.54549
1054032.8487.15195
1063835.28782.71221
1074136.4234.57701
1083634.52561.47436
1094337.03715.96286
1103034.6786-4.67855
1113133.6545-2.65448
1123238.1946-6.1946
1133231.41950.580487
1143734.37192.62812
1153734.20642.79357
1163336.3317-3.33167
1173437.3803-3.38025
1183334.7106-1.7106
1193835.51592.48406
1203334.9961-1.99607
1213131.2983-0.298304
1223836.58621.41376
1233736.36070.639289
1243633.09132.90867
1253133.7907-2.79068
1263934.14774.85227
1274436.73287.26719
1283336.0825-3.08248
1293533.5691.43102
1303233.955-1.95504
1312832.3818-4.38179
1324036.01873.98133
1332732.0669-5.06695
1343736.01930.980696
1353232.414-0.413962
1362828.2183-0.218293
1373434.946-0.946026
1383034.095-4.09502
1393534.21770.782283
1403134.2231-3.22312
1413234.3858-2.38579
1423035.8176-5.81757
1433034.9671-4.96715
1443129.63011.36993
1454033.11536.88468
1463231.60820.391752
1473634.71511.28486
1483233.1218-1.1218
1493533.15331.8467
1503836.52451.47552
1514235.09716.90286
1523436.0227-2.02267
1533536.828-1.82798
1543834.01423.98584
1553332.8540.146046
1563632.79323.20683
1573235.5869-3.58689
1583335.9048-2.90484
1593433.76260.237386
1603235.5369-3.5369
1613435.2844-1.28438
1622730.2318-3.23184
1633130.36550.634517
1643833.53284.4672
1653435.9278-1.92779
1662431.2167-7.21668
1673033.7618-3.76176
1682629.5367-3.5367
1693435.5094-1.50941
1702734.6746-7.67458
1713732.26474.73527
1723635.4490.550986
1734134.2786.72202
1742929.2426-0.242586
1753631.08554.91451
1763234.2872-2.28718
1773733.43743.56258
1783031.667-1.66704
1793132.769-1.76897
1803834.66843.33162
1813634.66591.33406
1823532.31352.68648
1833135.2336-4.23359
1843833.24244.75757
1852231.0861-9.0861
1863234.335-2.33497
1873633.89092.10911
1883932.82486.17515
1892830.4535-2.45349
1903234.4282-2.42822
1913232.362-0.36198
1923836.51751.48251
1933233.5893-1.58925
1943535.3923-0.392318
1953232.8818-0.881836
1963735.72831.27173
1973432.68811.31194
1983335.3988-2.39879
1993332.88270.117293
2002632.7642-6.76418
2013032.1798-2.17978
2022431.846-7.846
2033431.96542.03455
2043432.49061.5094
2053334.0554-1.05544
2063434.7357-0.735713
2073535.9498-0.949795
2083534.18370.81629
2093633.12222.8778
2103433.59190.408077
2113432.75231.24774
2124138.27192.72815
2133236.1009-4.10093
2143033.3786-3.37863
2153533.84871.15128
2162829.9493-1.9493
2173334.8109-1.81088
2183934.1794.82097
2193633.36982.63019
2203636.2484-0.248449
2213533.10431.89573
2223833.79984.20019
2233332.61820.381751
2243132.9143-1.91425
2253431.86932.13073
2263234.2469-2.24692
2273132.6305-1.63053
2283333.0426-0.0425504
2293432.59661.40337
2303433.9420.0579603
2313432.11881.88119
2323335.0885-2.08851
2333234.1813-2.1813
2344133.44667.55344
2353432.89211.10795
2363631.96144.03863
2373731.46255.53754
2383630.28545.71459
2392932.3616-3.36161
2403731.71975.28029
2412733.0183-6.01832
2423533.2851.71502
2432830.6218-2.62183
2443533.03791.96213
2453732.94414.05587
2462933.5108-4.51082
2473234.0979-2.09788
2483631.62464.37535
2491927.4943-8.49433
2502126.5858-5.58583
2513133.265-2.26497
2523332.30080.699156
2533633.772.23003
2543333.101-0.100961
2553732.93224.06776
2563433.09940.900581
2573534.15470.845315
2583132.6258-1.62583
2593733.15423.84584
2603531.79623.20378
2612731.5739-4.57388
2623434.6452-0.645229
2634033.72016.27988
2642932.6133-3.61334






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
120.1775240.3550480.822476
130.6950840.6098330.304916
140.6587710.6824580.341229
150.5645010.8709990.435499
160.5899060.8201890.410094
170.6545310.6909390.345469
180.6458860.7082280.354114
190.5549840.8900320.445016
200.589550.82090.41045
210.6209770.7580460.379023
220.5559050.8881910.444095
230.5685510.8628980.431449
240.4914380.9828750.508562
250.5826920.8346150.417308
260.7429890.5140220.257011
270.7176590.5646830.282341
280.6708150.658370.329185
290.6503910.6992170.349609
300.5893640.8212710.410636
310.5617230.8765530.438277
320.6466590.7066820.353341
330.6703920.6592160.329608
340.6189460.7621080.381054
350.5680460.8639090.431954
360.5136980.9726050.486302
370.4653860.9307720.534614
380.4521720.9043450.547828
390.5177320.9645360.482268
400.4662730.9325450.533727
410.4517590.9035170.548241
420.4037840.8075680.596216
430.3722330.7444660.627767
440.3345450.6690910.665455
450.42520.85040.5748
460.4468710.8937430.553129
470.4264980.8529950.573502
480.3901660.7803320.609834
490.3431210.6862420.656879
500.3604720.7209440.639528
510.3917670.7835350.608233
520.3501640.7003280.649836
530.3083410.6166810.691659
540.2748740.5497470.725126
550.2376450.475290.762355
560.236010.472020.76399
570.2581520.5163040.741848
580.3557770.7115550.644223
590.3220990.6441970.677901
600.2828430.5656870.717157
610.2507150.501430.749285
620.2412210.4824420.758779
630.2124320.4248630.787568
640.2090620.4181250.790938
650.1796940.3593890.820306
660.155010.3100190.84499
670.1340170.2680330.865983
680.1441070.2882130.855893
690.1520330.3040670.847967
700.12870.2573990.8713
710.1449070.2898130.855093
720.1614960.3229910.838504
730.1509410.3018830.849059
740.1287390.2574780.871261
750.1139030.2278070.886097
760.1612790.3225580.838721
770.1417780.2835560.858222
780.1205190.2410370.879481
790.1472920.2945830.852708
800.1757220.3514450.824278
810.163620.3272390.83638
820.1414460.2828920.858554
830.137770.275540.86223
840.1280420.2560840.871958
850.1097660.2195320.890234
860.09988740.1997750.900113
870.0867980.1735960.913202
880.09791230.1958250.902088
890.08221610.1644320.917784
900.08333590.1666720.916664
910.07987090.1597420.920129
920.07022550.1404510.929774
930.05835750.1167150.941642
940.05745940.1149190.942541
950.06047730.1209550.939523
960.05767880.1153580.942321
970.04927990.09855990.95072
980.04513570.09027140.954864
990.04336470.08672950.956635
1000.04166340.08332680.958337
1010.03809710.07619420.961903
1020.03116710.06233410.968833
1030.02520620.05041240.974794
1040.02440740.04881480.975593
1050.0606090.1212180.939391
1060.05811120.1162220.941889
1070.07321250.1464250.926788
1080.06367080.1273420.936329
1090.1038110.2076220.896189
1100.1187620.2375240.881238
1110.1126870.2253740.887313
1120.1448320.2896630.855168
1130.1340170.2680330.865983
1140.1326850.2653710.867315
1150.1281490.2562990.871851
1160.1238480.2476960.876152
1170.1189870.2379750.881013
1180.104020.208040.89598
1190.09958140.1991630.900419
1200.08842630.1768530.911574
1210.07654630.1530930.923454
1220.07073140.1414630.929269
1230.06081580.1216320.939184
1240.0590440.1180880.940956
1250.05494680.1098940.945053
1260.06963890.1392780.930361
1270.1281930.2563850.871807
1280.1246310.2492620.875369
1290.1115630.2231260.888437
1300.1022950.2045910.897705
1310.1087750.2175490.891225
1320.1184420.2368840.881558
1330.1391620.2783240.860838
1340.1234980.2469970.876502
1350.1066190.2132380.893381
1360.09280950.1856190.90719
1370.07922390.1584480.920776
1380.08475860.1695170.915241
1390.07270160.1454030.927298
1400.07052950.1410590.929471
1410.06656820.1331360.933432
1420.09028290.1805660.909717
1430.1051660.2103310.894834
1440.09786510.195730.902135
1450.176910.353820.82309
1460.1606440.3212880.839356
1470.1458790.2917580.854121
1480.127310.254620.87269
1490.1173840.2347670.882616
1500.1050990.2101980.894901
1510.1767650.3535290.823235
1520.1619810.3239620.838019
1530.1459920.2919830.854008
1540.1601120.3202250.839888
1550.1393420.2786840.860658
1560.1406270.2812530.859373
1570.1422840.2845680.857716
1580.1353560.2707110.864644
1590.1194280.2388560.880572
1600.1198090.2396170.880191
1610.1069040.2138080.893096
1620.1008680.2017360.899132
1630.0922410.1844820.907759
1640.1211210.2422410.878879
1650.1089050.217810.891095
1660.1882540.3765070.811746
1670.188620.377240.81138
1680.1782220.3564440.821778
1690.1629880.3259760.837012
1700.2767220.5534440.723278
1710.3015660.6031330.698434
1720.2702490.5404970.729751
1730.3691540.7383080.630846
1740.3336870.6673740.666313
1750.4001130.8002250.599887
1760.3735260.7470530.626474
1770.3770920.7541840.622908
1780.3446180.6892370.655382
1790.3146940.6293890.685306
1800.3129780.6259550.687022
1810.2828410.5656820.717159
1820.2822280.5644560.717772
1830.2941810.5883620.705819
1840.3714130.7428270.628587
1850.600220.799560.39978
1860.5801260.8397480.419874
1870.5767290.8465420.423271
1880.7347390.5305220.265261
1890.709150.5816990.29085
1900.7082950.5834090.291705
1910.672560.654880.32744
1920.6441640.7116720.355836
1930.6091570.7816870.390843
1940.5743290.8513410.425671
1950.5343070.9313850.465693
1960.4963870.9927740.503613
1970.4913460.9826920.508654
1980.461120.9222410.53888
1990.420410.8408210.57959
2000.4883410.9766830.511659
2010.4534140.9068280.546586
2020.6081940.7836120.391806
2030.585360.829280.41464
2040.5517720.8964570.448228
2050.5081940.9836110.491806
2060.4683460.9366920.531654
2070.4302240.8604480.569776
2080.3904470.7808940.609553
2090.362560.7251210.63744
2100.3277970.6555950.672203
2110.2934950.586990.706505
2120.27010.5402010.7299
2130.3324140.6648290.667586
2140.3200550.6401110.679945
2150.2802070.5604130.719793
2160.2468540.4937090.753146
2170.2224730.4449460.777527
2180.2376090.4752190.762391
2190.2082470.4164940.791753
2200.1982820.3965640.801718
2210.168020.3360390.83198
2220.1754360.3508720.824564
2230.1446290.2892590.855371
2240.1265140.2530280.873486
2250.1772770.3545540.822723
2260.1693710.3387420.830629
2270.1555330.3110660.844467
2280.148620.297240.85138
2290.1220950.244190.877905
2300.09745940.1949190.902541
2310.09089090.1817820.909109
2320.2585860.5171720.741414
2330.2249660.4499320.775034
2340.309850.6197010.69015
2350.256790.5135810.74321
2360.2482870.4965740.751713
2370.2144620.4289240.785538
2380.2923020.5846050.707698
2390.240970.4819410.75903
2400.4737860.9475730.526214
2410.4779230.9558470.522077
2420.4115810.8231620.588419
2430.3364320.6728650.663568
2440.3727670.7455340.627233
2450.4233060.8466120.576694
2460.5495610.9008770.450439
2470.5341080.9317840.465892
2480.4618790.9237590.538121
2490.674790.6504210.32521
2500.6156260.7687480.384374
2510.5628250.874350.437175
2520.7923250.4153510.207675

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
12 & 0.177524 & 0.355048 & 0.822476 \tabularnewline
13 & 0.695084 & 0.609833 & 0.304916 \tabularnewline
14 & 0.658771 & 0.682458 & 0.341229 \tabularnewline
15 & 0.564501 & 0.870999 & 0.435499 \tabularnewline
16 & 0.589906 & 0.820189 & 0.410094 \tabularnewline
17 & 0.654531 & 0.690939 & 0.345469 \tabularnewline
18 & 0.645886 & 0.708228 & 0.354114 \tabularnewline
19 & 0.554984 & 0.890032 & 0.445016 \tabularnewline
20 & 0.58955 & 0.8209 & 0.41045 \tabularnewline
21 & 0.620977 & 0.758046 & 0.379023 \tabularnewline
22 & 0.555905 & 0.888191 & 0.444095 \tabularnewline
23 & 0.568551 & 0.862898 & 0.431449 \tabularnewline
24 & 0.491438 & 0.982875 & 0.508562 \tabularnewline
25 & 0.582692 & 0.834615 & 0.417308 \tabularnewline
26 & 0.742989 & 0.514022 & 0.257011 \tabularnewline
27 & 0.717659 & 0.564683 & 0.282341 \tabularnewline
28 & 0.670815 & 0.65837 & 0.329185 \tabularnewline
29 & 0.650391 & 0.699217 & 0.349609 \tabularnewline
30 & 0.589364 & 0.821271 & 0.410636 \tabularnewline
31 & 0.561723 & 0.876553 & 0.438277 \tabularnewline
32 & 0.646659 & 0.706682 & 0.353341 \tabularnewline
33 & 0.670392 & 0.659216 & 0.329608 \tabularnewline
34 & 0.618946 & 0.762108 & 0.381054 \tabularnewline
35 & 0.568046 & 0.863909 & 0.431954 \tabularnewline
36 & 0.513698 & 0.972605 & 0.486302 \tabularnewline
37 & 0.465386 & 0.930772 & 0.534614 \tabularnewline
38 & 0.452172 & 0.904345 & 0.547828 \tabularnewline
39 & 0.517732 & 0.964536 & 0.482268 \tabularnewline
40 & 0.466273 & 0.932545 & 0.533727 \tabularnewline
41 & 0.451759 & 0.903517 & 0.548241 \tabularnewline
42 & 0.403784 & 0.807568 & 0.596216 \tabularnewline
43 & 0.372233 & 0.744466 & 0.627767 \tabularnewline
44 & 0.334545 & 0.669091 & 0.665455 \tabularnewline
45 & 0.4252 & 0.8504 & 0.5748 \tabularnewline
46 & 0.446871 & 0.893743 & 0.553129 \tabularnewline
47 & 0.426498 & 0.852995 & 0.573502 \tabularnewline
48 & 0.390166 & 0.780332 & 0.609834 \tabularnewline
49 & 0.343121 & 0.686242 & 0.656879 \tabularnewline
50 & 0.360472 & 0.720944 & 0.639528 \tabularnewline
51 & 0.391767 & 0.783535 & 0.608233 \tabularnewline
52 & 0.350164 & 0.700328 & 0.649836 \tabularnewline
53 & 0.308341 & 0.616681 & 0.691659 \tabularnewline
54 & 0.274874 & 0.549747 & 0.725126 \tabularnewline
55 & 0.237645 & 0.47529 & 0.762355 \tabularnewline
56 & 0.23601 & 0.47202 & 0.76399 \tabularnewline
57 & 0.258152 & 0.516304 & 0.741848 \tabularnewline
58 & 0.355777 & 0.711555 & 0.644223 \tabularnewline
59 & 0.322099 & 0.644197 & 0.677901 \tabularnewline
60 & 0.282843 & 0.565687 & 0.717157 \tabularnewline
61 & 0.250715 & 0.50143 & 0.749285 \tabularnewline
62 & 0.241221 & 0.482442 & 0.758779 \tabularnewline
63 & 0.212432 & 0.424863 & 0.787568 \tabularnewline
64 & 0.209062 & 0.418125 & 0.790938 \tabularnewline
65 & 0.179694 & 0.359389 & 0.820306 \tabularnewline
66 & 0.15501 & 0.310019 & 0.84499 \tabularnewline
67 & 0.134017 & 0.268033 & 0.865983 \tabularnewline
68 & 0.144107 & 0.288213 & 0.855893 \tabularnewline
69 & 0.152033 & 0.304067 & 0.847967 \tabularnewline
70 & 0.1287 & 0.257399 & 0.8713 \tabularnewline
71 & 0.144907 & 0.289813 & 0.855093 \tabularnewline
72 & 0.161496 & 0.322991 & 0.838504 \tabularnewline
73 & 0.150941 & 0.301883 & 0.849059 \tabularnewline
74 & 0.128739 & 0.257478 & 0.871261 \tabularnewline
75 & 0.113903 & 0.227807 & 0.886097 \tabularnewline
76 & 0.161279 & 0.322558 & 0.838721 \tabularnewline
77 & 0.141778 & 0.283556 & 0.858222 \tabularnewline
78 & 0.120519 & 0.241037 & 0.879481 \tabularnewline
79 & 0.147292 & 0.294583 & 0.852708 \tabularnewline
80 & 0.175722 & 0.351445 & 0.824278 \tabularnewline
81 & 0.16362 & 0.327239 & 0.83638 \tabularnewline
82 & 0.141446 & 0.282892 & 0.858554 \tabularnewline
83 & 0.13777 & 0.27554 & 0.86223 \tabularnewline
84 & 0.128042 & 0.256084 & 0.871958 \tabularnewline
85 & 0.109766 & 0.219532 & 0.890234 \tabularnewline
86 & 0.0998874 & 0.199775 & 0.900113 \tabularnewline
87 & 0.086798 & 0.173596 & 0.913202 \tabularnewline
88 & 0.0979123 & 0.195825 & 0.902088 \tabularnewline
89 & 0.0822161 & 0.164432 & 0.917784 \tabularnewline
90 & 0.0833359 & 0.166672 & 0.916664 \tabularnewline
91 & 0.0798709 & 0.159742 & 0.920129 \tabularnewline
92 & 0.0702255 & 0.140451 & 0.929774 \tabularnewline
93 & 0.0583575 & 0.116715 & 0.941642 \tabularnewline
94 & 0.0574594 & 0.114919 & 0.942541 \tabularnewline
95 & 0.0604773 & 0.120955 & 0.939523 \tabularnewline
96 & 0.0576788 & 0.115358 & 0.942321 \tabularnewline
97 & 0.0492799 & 0.0985599 & 0.95072 \tabularnewline
98 & 0.0451357 & 0.0902714 & 0.954864 \tabularnewline
99 & 0.0433647 & 0.0867295 & 0.956635 \tabularnewline
100 & 0.0416634 & 0.0833268 & 0.958337 \tabularnewline
101 & 0.0380971 & 0.0761942 & 0.961903 \tabularnewline
102 & 0.0311671 & 0.0623341 & 0.968833 \tabularnewline
103 & 0.0252062 & 0.0504124 & 0.974794 \tabularnewline
104 & 0.0244074 & 0.0488148 & 0.975593 \tabularnewline
105 & 0.060609 & 0.121218 & 0.939391 \tabularnewline
106 & 0.0581112 & 0.116222 & 0.941889 \tabularnewline
107 & 0.0732125 & 0.146425 & 0.926788 \tabularnewline
108 & 0.0636708 & 0.127342 & 0.936329 \tabularnewline
109 & 0.103811 & 0.207622 & 0.896189 \tabularnewline
110 & 0.118762 & 0.237524 & 0.881238 \tabularnewline
111 & 0.112687 & 0.225374 & 0.887313 \tabularnewline
112 & 0.144832 & 0.289663 & 0.855168 \tabularnewline
113 & 0.134017 & 0.268033 & 0.865983 \tabularnewline
114 & 0.132685 & 0.265371 & 0.867315 \tabularnewline
115 & 0.128149 & 0.256299 & 0.871851 \tabularnewline
116 & 0.123848 & 0.247696 & 0.876152 \tabularnewline
117 & 0.118987 & 0.237975 & 0.881013 \tabularnewline
118 & 0.10402 & 0.20804 & 0.89598 \tabularnewline
119 & 0.0995814 & 0.199163 & 0.900419 \tabularnewline
120 & 0.0884263 & 0.176853 & 0.911574 \tabularnewline
121 & 0.0765463 & 0.153093 & 0.923454 \tabularnewline
122 & 0.0707314 & 0.141463 & 0.929269 \tabularnewline
123 & 0.0608158 & 0.121632 & 0.939184 \tabularnewline
124 & 0.059044 & 0.118088 & 0.940956 \tabularnewline
125 & 0.0549468 & 0.109894 & 0.945053 \tabularnewline
126 & 0.0696389 & 0.139278 & 0.930361 \tabularnewline
127 & 0.128193 & 0.256385 & 0.871807 \tabularnewline
128 & 0.124631 & 0.249262 & 0.875369 \tabularnewline
129 & 0.111563 & 0.223126 & 0.888437 \tabularnewline
130 & 0.102295 & 0.204591 & 0.897705 \tabularnewline
131 & 0.108775 & 0.217549 & 0.891225 \tabularnewline
132 & 0.118442 & 0.236884 & 0.881558 \tabularnewline
133 & 0.139162 & 0.278324 & 0.860838 \tabularnewline
134 & 0.123498 & 0.246997 & 0.876502 \tabularnewline
135 & 0.106619 & 0.213238 & 0.893381 \tabularnewline
136 & 0.0928095 & 0.185619 & 0.90719 \tabularnewline
137 & 0.0792239 & 0.158448 & 0.920776 \tabularnewline
138 & 0.0847586 & 0.169517 & 0.915241 \tabularnewline
139 & 0.0727016 & 0.145403 & 0.927298 \tabularnewline
140 & 0.0705295 & 0.141059 & 0.929471 \tabularnewline
141 & 0.0665682 & 0.133136 & 0.933432 \tabularnewline
142 & 0.0902829 & 0.180566 & 0.909717 \tabularnewline
143 & 0.105166 & 0.210331 & 0.894834 \tabularnewline
144 & 0.0978651 & 0.19573 & 0.902135 \tabularnewline
145 & 0.17691 & 0.35382 & 0.82309 \tabularnewline
146 & 0.160644 & 0.321288 & 0.839356 \tabularnewline
147 & 0.145879 & 0.291758 & 0.854121 \tabularnewline
148 & 0.12731 & 0.25462 & 0.87269 \tabularnewline
149 & 0.117384 & 0.234767 & 0.882616 \tabularnewline
150 & 0.105099 & 0.210198 & 0.894901 \tabularnewline
151 & 0.176765 & 0.353529 & 0.823235 \tabularnewline
152 & 0.161981 & 0.323962 & 0.838019 \tabularnewline
153 & 0.145992 & 0.291983 & 0.854008 \tabularnewline
154 & 0.160112 & 0.320225 & 0.839888 \tabularnewline
155 & 0.139342 & 0.278684 & 0.860658 \tabularnewline
156 & 0.140627 & 0.281253 & 0.859373 \tabularnewline
157 & 0.142284 & 0.284568 & 0.857716 \tabularnewline
158 & 0.135356 & 0.270711 & 0.864644 \tabularnewline
159 & 0.119428 & 0.238856 & 0.880572 \tabularnewline
160 & 0.119809 & 0.239617 & 0.880191 \tabularnewline
161 & 0.106904 & 0.213808 & 0.893096 \tabularnewline
162 & 0.100868 & 0.201736 & 0.899132 \tabularnewline
163 & 0.092241 & 0.184482 & 0.907759 \tabularnewline
164 & 0.121121 & 0.242241 & 0.878879 \tabularnewline
165 & 0.108905 & 0.21781 & 0.891095 \tabularnewline
166 & 0.188254 & 0.376507 & 0.811746 \tabularnewline
167 & 0.18862 & 0.37724 & 0.81138 \tabularnewline
168 & 0.178222 & 0.356444 & 0.821778 \tabularnewline
169 & 0.162988 & 0.325976 & 0.837012 \tabularnewline
170 & 0.276722 & 0.553444 & 0.723278 \tabularnewline
171 & 0.301566 & 0.603133 & 0.698434 \tabularnewline
172 & 0.270249 & 0.540497 & 0.729751 \tabularnewline
173 & 0.369154 & 0.738308 & 0.630846 \tabularnewline
174 & 0.333687 & 0.667374 & 0.666313 \tabularnewline
175 & 0.400113 & 0.800225 & 0.599887 \tabularnewline
176 & 0.373526 & 0.747053 & 0.626474 \tabularnewline
177 & 0.377092 & 0.754184 & 0.622908 \tabularnewline
178 & 0.344618 & 0.689237 & 0.655382 \tabularnewline
179 & 0.314694 & 0.629389 & 0.685306 \tabularnewline
180 & 0.312978 & 0.625955 & 0.687022 \tabularnewline
181 & 0.282841 & 0.565682 & 0.717159 \tabularnewline
182 & 0.282228 & 0.564456 & 0.717772 \tabularnewline
183 & 0.294181 & 0.588362 & 0.705819 \tabularnewline
184 & 0.371413 & 0.742827 & 0.628587 \tabularnewline
185 & 0.60022 & 0.79956 & 0.39978 \tabularnewline
186 & 0.580126 & 0.839748 & 0.419874 \tabularnewline
187 & 0.576729 & 0.846542 & 0.423271 \tabularnewline
188 & 0.734739 & 0.530522 & 0.265261 \tabularnewline
189 & 0.70915 & 0.581699 & 0.29085 \tabularnewline
190 & 0.708295 & 0.583409 & 0.291705 \tabularnewline
191 & 0.67256 & 0.65488 & 0.32744 \tabularnewline
192 & 0.644164 & 0.711672 & 0.355836 \tabularnewline
193 & 0.609157 & 0.781687 & 0.390843 \tabularnewline
194 & 0.574329 & 0.851341 & 0.425671 \tabularnewline
195 & 0.534307 & 0.931385 & 0.465693 \tabularnewline
196 & 0.496387 & 0.992774 & 0.503613 \tabularnewline
197 & 0.491346 & 0.982692 & 0.508654 \tabularnewline
198 & 0.46112 & 0.922241 & 0.53888 \tabularnewline
199 & 0.42041 & 0.840821 & 0.57959 \tabularnewline
200 & 0.488341 & 0.976683 & 0.511659 \tabularnewline
201 & 0.453414 & 0.906828 & 0.546586 \tabularnewline
202 & 0.608194 & 0.783612 & 0.391806 \tabularnewline
203 & 0.58536 & 0.82928 & 0.41464 \tabularnewline
204 & 0.551772 & 0.896457 & 0.448228 \tabularnewline
205 & 0.508194 & 0.983611 & 0.491806 \tabularnewline
206 & 0.468346 & 0.936692 & 0.531654 \tabularnewline
207 & 0.430224 & 0.860448 & 0.569776 \tabularnewline
208 & 0.390447 & 0.780894 & 0.609553 \tabularnewline
209 & 0.36256 & 0.725121 & 0.63744 \tabularnewline
210 & 0.327797 & 0.655595 & 0.672203 \tabularnewline
211 & 0.293495 & 0.58699 & 0.706505 \tabularnewline
212 & 0.2701 & 0.540201 & 0.7299 \tabularnewline
213 & 0.332414 & 0.664829 & 0.667586 \tabularnewline
214 & 0.320055 & 0.640111 & 0.679945 \tabularnewline
215 & 0.280207 & 0.560413 & 0.719793 \tabularnewline
216 & 0.246854 & 0.493709 & 0.753146 \tabularnewline
217 & 0.222473 & 0.444946 & 0.777527 \tabularnewline
218 & 0.237609 & 0.475219 & 0.762391 \tabularnewline
219 & 0.208247 & 0.416494 & 0.791753 \tabularnewline
220 & 0.198282 & 0.396564 & 0.801718 \tabularnewline
221 & 0.16802 & 0.336039 & 0.83198 \tabularnewline
222 & 0.175436 & 0.350872 & 0.824564 \tabularnewline
223 & 0.144629 & 0.289259 & 0.855371 \tabularnewline
224 & 0.126514 & 0.253028 & 0.873486 \tabularnewline
225 & 0.177277 & 0.354554 & 0.822723 \tabularnewline
226 & 0.169371 & 0.338742 & 0.830629 \tabularnewline
227 & 0.155533 & 0.311066 & 0.844467 \tabularnewline
228 & 0.14862 & 0.29724 & 0.85138 \tabularnewline
229 & 0.122095 & 0.24419 & 0.877905 \tabularnewline
230 & 0.0974594 & 0.194919 & 0.902541 \tabularnewline
231 & 0.0908909 & 0.181782 & 0.909109 \tabularnewline
232 & 0.258586 & 0.517172 & 0.741414 \tabularnewline
233 & 0.224966 & 0.449932 & 0.775034 \tabularnewline
234 & 0.30985 & 0.619701 & 0.69015 \tabularnewline
235 & 0.25679 & 0.513581 & 0.74321 \tabularnewline
236 & 0.248287 & 0.496574 & 0.751713 \tabularnewline
237 & 0.214462 & 0.428924 & 0.785538 \tabularnewline
238 & 0.292302 & 0.584605 & 0.707698 \tabularnewline
239 & 0.24097 & 0.481941 & 0.75903 \tabularnewline
240 & 0.473786 & 0.947573 & 0.526214 \tabularnewline
241 & 0.477923 & 0.955847 & 0.522077 \tabularnewline
242 & 0.411581 & 0.823162 & 0.588419 \tabularnewline
243 & 0.336432 & 0.672865 & 0.663568 \tabularnewline
244 & 0.372767 & 0.745534 & 0.627233 \tabularnewline
245 & 0.423306 & 0.846612 & 0.576694 \tabularnewline
246 & 0.549561 & 0.900877 & 0.450439 \tabularnewline
247 & 0.534108 & 0.931784 & 0.465892 \tabularnewline
248 & 0.461879 & 0.923759 & 0.538121 \tabularnewline
249 & 0.67479 & 0.650421 & 0.32521 \tabularnewline
250 & 0.615626 & 0.768748 & 0.384374 \tabularnewline
251 & 0.562825 & 0.87435 & 0.437175 \tabularnewline
252 & 0.792325 & 0.415351 & 0.207675 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=222029&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]12[/C][C]0.177524[/C][C]0.355048[/C][C]0.822476[/C][/ROW]
[ROW][C]13[/C][C]0.695084[/C][C]0.609833[/C][C]0.304916[/C][/ROW]
[ROW][C]14[/C][C]0.658771[/C][C]0.682458[/C][C]0.341229[/C][/ROW]
[ROW][C]15[/C][C]0.564501[/C][C]0.870999[/C][C]0.435499[/C][/ROW]
[ROW][C]16[/C][C]0.589906[/C][C]0.820189[/C][C]0.410094[/C][/ROW]
[ROW][C]17[/C][C]0.654531[/C][C]0.690939[/C][C]0.345469[/C][/ROW]
[ROW][C]18[/C][C]0.645886[/C][C]0.708228[/C][C]0.354114[/C][/ROW]
[ROW][C]19[/C][C]0.554984[/C][C]0.890032[/C][C]0.445016[/C][/ROW]
[ROW][C]20[/C][C]0.58955[/C][C]0.8209[/C][C]0.41045[/C][/ROW]
[ROW][C]21[/C][C]0.620977[/C][C]0.758046[/C][C]0.379023[/C][/ROW]
[ROW][C]22[/C][C]0.555905[/C][C]0.888191[/C][C]0.444095[/C][/ROW]
[ROW][C]23[/C][C]0.568551[/C][C]0.862898[/C][C]0.431449[/C][/ROW]
[ROW][C]24[/C][C]0.491438[/C][C]0.982875[/C][C]0.508562[/C][/ROW]
[ROW][C]25[/C][C]0.582692[/C][C]0.834615[/C][C]0.417308[/C][/ROW]
[ROW][C]26[/C][C]0.742989[/C][C]0.514022[/C][C]0.257011[/C][/ROW]
[ROW][C]27[/C][C]0.717659[/C][C]0.564683[/C][C]0.282341[/C][/ROW]
[ROW][C]28[/C][C]0.670815[/C][C]0.65837[/C][C]0.329185[/C][/ROW]
[ROW][C]29[/C][C]0.650391[/C][C]0.699217[/C][C]0.349609[/C][/ROW]
[ROW][C]30[/C][C]0.589364[/C][C]0.821271[/C][C]0.410636[/C][/ROW]
[ROW][C]31[/C][C]0.561723[/C][C]0.876553[/C][C]0.438277[/C][/ROW]
[ROW][C]32[/C][C]0.646659[/C][C]0.706682[/C][C]0.353341[/C][/ROW]
[ROW][C]33[/C][C]0.670392[/C][C]0.659216[/C][C]0.329608[/C][/ROW]
[ROW][C]34[/C][C]0.618946[/C][C]0.762108[/C][C]0.381054[/C][/ROW]
[ROW][C]35[/C][C]0.568046[/C][C]0.863909[/C][C]0.431954[/C][/ROW]
[ROW][C]36[/C][C]0.513698[/C][C]0.972605[/C][C]0.486302[/C][/ROW]
[ROW][C]37[/C][C]0.465386[/C][C]0.930772[/C][C]0.534614[/C][/ROW]
[ROW][C]38[/C][C]0.452172[/C][C]0.904345[/C][C]0.547828[/C][/ROW]
[ROW][C]39[/C][C]0.517732[/C][C]0.964536[/C][C]0.482268[/C][/ROW]
[ROW][C]40[/C][C]0.466273[/C][C]0.932545[/C][C]0.533727[/C][/ROW]
[ROW][C]41[/C][C]0.451759[/C][C]0.903517[/C][C]0.548241[/C][/ROW]
[ROW][C]42[/C][C]0.403784[/C][C]0.807568[/C][C]0.596216[/C][/ROW]
[ROW][C]43[/C][C]0.372233[/C][C]0.744466[/C][C]0.627767[/C][/ROW]
[ROW][C]44[/C][C]0.334545[/C][C]0.669091[/C][C]0.665455[/C][/ROW]
[ROW][C]45[/C][C]0.4252[/C][C]0.8504[/C][C]0.5748[/C][/ROW]
[ROW][C]46[/C][C]0.446871[/C][C]0.893743[/C][C]0.553129[/C][/ROW]
[ROW][C]47[/C][C]0.426498[/C][C]0.852995[/C][C]0.573502[/C][/ROW]
[ROW][C]48[/C][C]0.390166[/C][C]0.780332[/C][C]0.609834[/C][/ROW]
[ROW][C]49[/C][C]0.343121[/C][C]0.686242[/C][C]0.656879[/C][/ROW]
[ROW][C]50[/C][C]0.360472[/C][C]0.720944[/C][C]0.639528[/C][/ROW]
[ROW][C]51[/C][C]0.391767[/C][C]0.783535[/C][C]0.608233[/C][/ROW]
[ROW][C]52[/C][C]0.350164[/C][C]0.700328[/C][C]0.649836[/C][/ROW]
[ROW][C]53[/C][C]0.308341[/C][C]0.616681[/C][C]0.691659[/C][/ROW]
[ROW][C]54[/C][C]0.274874[/C][C]0.549747[/C][C]0.725126[/C][/ROW]
[ROW][C]55[/C][C]0.237645[/C][C]0.47529[/C][C]0.762355[/C][/ROW]
[ROW][C]56[/C][C]0.23601[/C][C]0.47202[/C][C]0.76399[/C][/ROW]
[ROW][C]57[/C][C]0.258152[/C][C]0.516304[/C][C]0.741848[/C][/ROW]
[ROW][C]58[/C][C]0.355777[/C][C]0.711555[/C][C]0.644223[/C][/ROW]
[ROW][C]59[/C][C]0.322099[/C][C]0.644197[/C][C]0.677901[/C][/ROW]
[ROW][C]60[/C][C]0.282843[/C][C]0.565687[/C][C]0.717157[/C][/ROW]
[ROW][C]61[/C][C]0.250715[/C][C]0.50143[/C][C]0.749285[/C][/ROW]
[ROW][C]62[/C][C]0.241221[/C][C]0.482442[/C][C]0.758779[/C][/ROW]
[ROW][C]63[/C][C]0.212432[/C][C]0.424863[/C][C]0.787568[/C][/ROW]
[ROW][C]64[/C][C]0.209062[/C][C]0.418125[/C][C]0.790938[/C][/ROW]
[ROW][C]65[/C][C]0.179694[/C][C]0.359389[/C][C]0.820306[/C][/ROW]
[ROW][C]66[/C][C]0.15501[/C][C]0.310019[/C][C]0.84499[/C][/ROW]
[ROW][C]67[/C][C]0.134017[/C][C]0.268033[/C][C]0.865983[/C][/ROW]
[ROW][C]68[/C][C]0.144107[/C][C]0.288213[/C][C]0.855893[/C][/ROW]
[ROW][C]69[/C][C]0.152033[/C][C]0.304067[/C][C]0.847967[/C][/ROW]
[ROW][C]70[/C][C]0.1287[/C][C]0.257399[/C][C]0.8713[/C][/ROW]
[ROW][C]71[/C][C]0.144907[/C][C]0.289813[/C][C]0.855093[/C][/ROW]
[ROW][C]72[/C][C]0.161496[/C][C]0.322991[/C][C]0.838504[/C][/ROW]
[ROW][C]73[/C][C]0.150941[/C][C]0.301883[/C][C]0.849059[/C][/ROW]
[ROW][C]74[/C][C]0.128739[/C][C]0.257478[/C][C]0.871261[/C][/ROW]
[ROW][C]75[/C][C]0.113903[/C][C]0.227807[/C][C]0.886097[/C][/ROW]
[ROW][C]76[/C][C]0.161279[/C][C]0.322558[/C][C]0.838721[/C][/ROW]
[ROW][C]77[/C][C]0.141778[/C][C]0.283556[/C][C]0.858222[/C][/ROW]
[ROW][C]78[/C][C]0.120519[/C][C]0.241037[/C][C]0.879481[/C][/ROW]
[ROW][C]79[/C][C]0.147292[/C][C]0.294583[/C][C]0.852708[/C][/ROW]
[ROW][C]80[/C][C]0.175722[/C][C]0.351445[/C][C]0.824278[/C][/ROW]
[ROW][C]81[/C][C]0.16362[/C][C]0.327239[/C][C]0.83638[/C][/ROW]
[ROW][C]82[/C][C]0.141446[/C][C]0.282892[/C][C]0.858554[/C][/ROW]
[ROW][C]83[/C][C]0.13777[/C][C]0.27554[/C][C]0.86223[/C][/ROW]
[ROW][C]84[/C][C]0.128042[/C][C]0.256084[/C][C]0.871958[/C][/ROW]
[ROW][C]85[/C][C]0.109766[/C][C]0.219532[/C][C]0.890234[/C][/ROW]
[ROW][C]86[/C][C]0.0998874[/C][C]0.199775[/C][C]0.900113[/C][/ROW]
[ROW][C]87[/C][C]0.086798[/C][C]0.173596[/C][C]0.913202[/C][/ROW]
[ROW][C]88[/C][C]0.0979123[/C][C]0.195825[/C][C]0.902088[/C][/ROW]
[ROW][C]89[/C][C]0.0822161[/C][C]0.164432[/C][C]0.917784[/C][/ROW]
[ROW][C]90[/C][C]0.0833359[/C][C]0.166672[/C][C]0.916664[/C][/ROW]
[ROW][C]91[/C][C]0.0798709[/C][C]0.159742[/C][C]0.920129[/C][/ROW]
[ROW][C]92[/C][C]0.0702255[/C][C]0.140451[/C][C]0.929774[/C][/ROW]
[ROW][C]93[/C][C]0.0583575[/C][C]0.116715[/C][C]0.941642[/C][/ROW]
[ROW][C]94[/C][C]0.0574594[/C][C]0.114919[/C][C]0.942541[/C][/ROW]
[ROW][C]95[/C][C]0.0604773[/C][C]0.120955[/C][C]0.939523[/C][/ROW]
[ROW][C]96[/C][C]0.0576788[/C][C]0.115358[/C][C]0.942321[/C][/ROW]
[ROW][C]97[/C][C]0.0492799[/C][C]0.0985599[/C][C]0.95072[/C][/ROW]
[ROW][C]98[/C][C]0.0451357[/C][C]0.0902714[/C][C]0.954864[/C][/ROW]
[ROW][C]99[/C][C]0.0433647[/C][C]0.0867295[/C][C]0.956635[/C][/ROW]
[ROW][C]100[/C][C]0.0416634[/C][C]0.0833268[/C][C]0.958337[/C][/ROW]
[ROW][C]101[/C][C]0.0380971[/C][C]0.0761942[/C][C]0.961903[/C][/ROW]
[ROW][C]102[/C][C]0.0311671[/C][C]0.0623341[/C][C]0.968833[/C][/ROW]
[ROW][C]103[/C][C]0.0252062[/C][C]0.0504124[/C][C]0.974794[/C][/ROW]
[ROW][C]104[/C][C]0.0244074[/C][C]0.0488148[/C][C]0.975593[/C][/ROW]
[ROW][C]105[/C][C]0.060609[/C][C]0.121218[/C][C]0.939391[/C][/ROW]
[ROW][C]106[/C][C]0.0581112[/C][C]0.116222[/C][C]0.941889[/C][/ROW]
[ROW][C]107[/C][C]0.0732125[/C][C]0.146425[/C][C]0.926788[/C][/ROW]
[ROW][C]108[/C][C]0.0636708[/C][C]0.127342[/C][C]0.936329[/C][/ROW]
[ROW][C]109[/C][C]0.103811[/C][C]0.207622[/C][C]0.896189[/C][/ROW]
[ROW][C]110[/C][C]0.118762[/C][C]0.237524[/C][C]0.881238[/C][/ROW]
[ROW][C]111[/C][C]0.112687[/C][C]0.225374[/C][C]0.887313[/C][/ROW]
[ROW][C]112[/C][C]0.144832[/C][C]0.289663[/C][C]0.855168[/C][/ROW]
[ROW][C]113[/C][C]0.134017[/C][C]0.268033[/C][C]0.865983[/C][/ROW]
[ROW][C]114[/C][C]0.132685[/C][C]0.265371[/C][C]0.867315[/C][/ROW]
[ROW][C]115[/C][C]0.128149[/C][C]0.256299[/C][C]0.871851[/C][/ROW]
[ROW][C]116[/C][C]0.123848[/C][C]0.247696[/C][C]0.876152[/C][/ROW]
[ROW][C]117[/C][C]0.118987[/C][C]0.237975[/C][C]0.881013[/C][/ROW]
[ROW][C]118[/C][C]0.10402[/C][C]0.20804[/C][C]0.89598[/C][/ROW]
[ROW][C]119[/C][C]0.0995814[/C][C]0.199163[/C][C]0.900419[/C][/ROW]
[ROW][C]120[/C][C]0.0884263[/C][C]0.176853[/C][C]0.911574[/C][/ROW]
[ROW][C]121[/C][C]0.0765463[/C][C]0.153093[/C][C]0.923454[/C][/ROW]
[ROW][C]122[/C][C]0.0707314[/C][C]0.141463[/C][C]0.929269[/C][/ROW]
[ROW][C]123[/C][C]0.0608158[/C][C]0.121632[/C][C]0.939184[/C][/ROW]
[ROW][C]124[/C][C]0.059044[/C][C]0.118088[/C][C]0.940956[/C][/ROW]
[ROW][C]125[/C][C]0.0549468[/C][C]0.109894[/C][C]0.945053[/C][/ROW]
[ROW][C]126[/C][C]0.0696389[/C][C]0.139278[/C][C]0.930361[/C][/ROW]
[ROW][C]127[/C][C]0.128193[/C][C]0.256385[/C][C]0.871807[/C][/ROW]
[ROW][C]128[/C][C]0.124631[/C][C]0.249262[/C][C]0.875369[/C][/ROW]
[ROW][C]129[/C][C]0.111563[/C][C]0.223126[/C][C]0.888437[/C][/ROW]
[ROW][C]130[/C][C]0.102295[/C][C]0.204591[/C][C]0.897705[/C][/ROW]
[ROW][C]131[/C][C]0.108775[/C][C]0.217549[/C][C]0.891225[/C][/ROW]
[ROW][C]132[/C][C]0.118442[/C][C]0.236884[/C][C]0.881558[/C][/ROW]
[ROW][C]133[/C][C]0.139162[/C][C]0.278324[/C][C]0.860838[/C][/ROW]
[ROW][C]134[/C][C]0.123498[/C][C]0.246997[/C][C]0.876502[/C][/ROW]
[ROW][C]135[/C][C]0.106619[/C][C]0.213238[/C][C]0.893381[/C][/ROW]
[ROW][C]136[/C][C]0.0928095[/C][C]0.185619[/C][C]0.90719[/C][/ROW]
[ROW][C]137[/C][C]0.0792239[/C][C]0.158448[/C][C]0.920776[/C][/ROW]
[ROW][C]138[/C][C]0.0847586[/C][C]0.169517[/C][C]0.915241[/C][/ROW]
[ROW][C]139[/C][C]0.0727016[/C][C]0.145403[/C][C]0.927298[/C][/ROW]
[ROW][C]140[/C][C]0.0705295[/C][C]0.141059[/C][C]0.929471[/C][/ROW]
[ROW][C]141[/C][C]0.0665682[/C][C]0.133136[/C][C]0.933432[/C][/ROW]
[ROW][C]142[/C][C]0.0902829[/C][C]0.180566[/C][C]0.909717[/C][/ROW]
[ROW][C]143[/C][C]0.105166[/C][C]0.210331[/C][C]0.894834[/C][/ROW]
[ROW][C]144[/C][C]0.0978651[/C][C]0.19573[/C][C]0.902135[/C][/ROW]
[ROW][C]145[/C][C]0.17691[/C][C]0.35382[/C][C]0.82309[/C][/ROW]
[ROW][C]146[/C][C]0.160644[/C][C]0.321288[/C][C]0.839356[/C][/ROW]
[ROW][C]147[/C][C]0.145879[/C][C]0.291758[/C][C]0.854121[/C][/ROW]
[ROW][C]148[/C][C]0.12731[/C][C]0.25462[/C][C]0.87269[/C][/ROW]
[ROW][C]149[/C][C]0.117384[/C][C]0.234767[/C][C]0.882616[/C][/ROW]
[ROW][C]150[/C][C]0.105099[/C][C]0.210198[/C][C]0.894901[/C][/ROW]
[ROW][C]151[/C][C]0.176765[/C][C]0.353529[/C][C]0.823235[/C][/ROW]
[ROW][C]152[/C][C]0.161981[/C][C]0.323962[/C][C]0.838019[/C][/ROW]
[ROW][C]153[/C][C]0.145992[/C][C]0.291983[/C][C]0.854008[/C][/ROW]
[ROW][C]154[/C][C]0.160112[/C][C]0.320225[/C][C]0.839888[/C][/ROW]
[ROW][C]155[/C][C]0.139342[/C][C]0.278684[/C][C]0.860658[/C][/ROW]
[ROW][C]156[/C][C]0.140627[/C][C]0.281253[/C][C]0.859373[/C][/ROW]
[ROW][C]157[/C][C]0.142284[/C][C]0.284568[/C][C]0.857716[/C][/ROW]
[ROW][C]158[/C][C]0.135356[/C][C]0.270711[/C][C]0.864644[/C][/ROW]
[ROW][C]159[/C][C]0.119428[/C][C]0.238856[/C][C]0.880572[/C][/ROW]
[ROW][C]160[/C][C]0.119809[/C][C]0.239617[/C][C]0.880191[/C][/ROW]
[ROW][C]161[/C][C]0.106904[/C][C]0.213808[/C][C]0.893096[/C][/ROW]
[ROW][C]162[/C][C]0.100868[/C][C]0.201736[/C][C]0.899132[/C][/ROW]
[ROW][C]163[/C][C]0.092241[/C][C]0.184482[/C][C]0.907759[/C][/ROW]
[ROW][C]164[/C][C]0.121121[/C][C]0.242241[/C][C]0.878879[/C][/ROW]
[ROW][C]165[/C][C]0.108905[/C][C]0.21781[/C][C]0.891095[/C][/ROW]
[ROW][C]166[/C][C]0.188254[/C][C]0.376507[/C][C]0.811746[/C][/ROW]
[ROW][C]167[/C][C]0.18862[/C][C]0.37724[/C][C]0.81138[/C][/ROW]
[ROW][C]168[/C][C]0.178222[/C][C]0.356444[/C][C]0.821778[/C][/ROW]
[ROW][C]169[/C][C]0.162988[/C][C]0.325976[/C][C]0.837012[/C][/ROW]
[ROW][C]170[/C][C]0.276722[/C][C]0.553444[/C][C]0.723278[/C][/ROW]
[ROW][C]171[/C][C]0.301566[/C][C]0.603133[/C][C]0.698434[/C][/ROW]
[ROW][C]172[/C][C]0.270249[/C][C]0.540497[/C][C]0.729751[/C][/ROW]
[ROW][C]173[/C][C]0.369154[/C][C]0.738308[/C][C]0.630846[/C][/ROW]
[ROW][C]174[/C][C]0.333687[/C][C]0.667374[/C][C]0.666313[/C][/ROW]
[ROW][C]175[/C][C]0.400113[/C][C]0.800225[/C][C]0.599887[/C][/ROW]
[ROW][C]176[/C][C]0.373526[/C][C]0.747053[/C][C]0.626474[/C][/ROW]
[ROW][C]177[/C][C]0.377092[/C][C]0.754184[/C][C]0.622908[/C][/ROW]
[ROW][C]178[/C][C]0.344618[/C][C]0.689237[/C][C]0.655382[/C][/ROW]
[ROW][C]179[/C][C]0.314694[/C][C]0.629389[/C][C]0.685306[/C][/ROW]
[ROW][C]180[/C][C]0.312978[/C][C]0.625955[/C][C]0.687022[/C][/ROW]
[ROW][C]181[/C][C]0.282841[/C][C]0.565682[/C][C]0.717159[/C][/ROW]
[ROW][C]182[/C][C]0.282228[/C][C]0.564456[/C][C]0.717772[/C][/ROW]
[ROW][C]183[/C][C]0.294181[/C][C]0.588362[/C][C]0.705819[/C][/ROW]
[ROW][C]184[/C][C]0.371413[/C][C]0.742827[/C][C]0.628587[/C][/ROW]
[ROW][C]185[/C][C]0.60022[/C][C]0.79956[/C][C]0.39978[/C][/ROW]
[ROW][C]186[/C][C]0.580126[/C][C]0.839748[/C][C]0.419874[/C][/ROW]
[ROW][C]187[/C][C]0.576729[/C][C]0.846542[/C][C]0.423271[/C][/ROW]
[ROW][C]188[/C][C]0.734739[/C][C]0.530522[/C][C]0.265261[/C][/ROW]
[ROW][C]189[/C][C]0.70915[/C][C]0.581699[/C][C]0.29085[/C][/ROW]
[ROW][C]190[/C][C]0.708295[/C][C]0.583409[/C][C]0.291705[/C][/ROW]
[ROW][C]191[/C][C]0.67256[/C][C]0.65488[/C][C]0.32744[/C][/ROW]
[ROW][C]192[/C][C]0.644164[/C][C]0.711672[/C][C]0.355836[/C][/ROW]
[ROW][C]193[/C][C]0.609157[/C][C]0.781687[/C][C]0.390843[/C][/ROW]
[ROW][C]194[/C][C]0.574329[/C][C]0.851341[/C][C]0.425671[/C][/ROW]
[ROW][C]195[/C][C]0.534307[/C][C]0.931385[/C][C]0.465693[/C][/ROW]
[ROW][C]196[/C][C]0.496387[/C][C]0.992774[/C][C]0.503613[/C][/ROW]
[ROW][C]197[/C][C]0.491346[/C][C]0.982692[/C][C]0.508654[/C][/ROW]
[ROW][C]198[/C][C]0.46112[/C][C]0.922241[/C][C]0.53888[/C][/ROW]
[ROW][C]199[/C][C]0.42041[/C][C]0.840821[/C][C]0.57959[/C][/ROW]
[ROW][C]200[/C][C]0.488341[/C][C]0.976683[/C][C]0.511659[/C][/ROW]
[ROW][C]201[/C][C]0.453414[/C][C]0.906828[/C][C]0.546586[/C][/ROW]
[ROW][C]202[/C][C]0.608194[/C][C]0.783612[/C][C]0.391806[/C][/ROW]
[ROW][C]203[/C][C]0.58536[/C][C]0.82928[/C][C]0.41464[/C][/ROW]
[ROW][C]204[/C][C]0.551772[/C][C]0.896457[/C][C]0.448228[/C][/ROW]
[ROW][C]205[/C][C]0.508194[/C][C]0.983611[/C][C]0.491806[/C][/ROW]
[ROW][C]206[/C][C]0.468346[/C][C]0.936692[/C][C]0.531654[/C][/ROW]
[ROW][C]207[/C][C]0.430224[/C][C]0.860448[/C][C]0.569776[/C][/ROW]
[ROW][C]208[/C][C]0.390447[/C][C]0.780894[/C][C]0.609553[/C][/ROW]
[ROW][C]209[/C][C]0.36256[/C][C]0.725121[/C][C]0.63744[/C][/ROW]
[ROW][C]210[/C][C]0.327797[/C][C]0.655595[/C][C]0.672203[/C][/ROW]
[ROW][C]211[/C][C]0.293495[/C][C]0.58699[/C][C]0.706505[/C][/ROW]
[ROW][C]212[/C][C]0.2701[/C][C]0.540201[/C][C]0.7299[/C][/ROW]
[ROW][C]213[/C][C]0.332414[/C][C]0.664829[/C][C]0.667586[/C][/ROW]
[ROW][C]214[/C][C]0.320055[/C][C]0.640111[/C][C]0.679945[/C][/ROW]
[ROW][C]215[/C][C]0.280207[/C][C]0.560413[/C][C]0.719793[/C][/ROW]
[ROW][C]216[/C][C]0.246854[/C][C]0.493709[/C][C]0.753146[/C][/ROW]
[ROW][C]217[/C][C]0.222473[/C][C]0.444946[/C][C]0.777527[/C][/ROW]
[ROW][C]218[/C][C]0.237609[/C][C]0.475219[/C][C]0.762391[/C][/ROW]
[ROW][C]219[/C][C]0.208247[/C][C]0.416494[/C][C]0.791753[/C][/ROW]
[ROW][C]220[/C][C]0.198282[/C][C]0.396564[/C][C]0.801718[/C][/ROW]
[ROW][C]221[/C][C]0.16802[/C][C]0.336039[/C][C]0.83198[/C][/ROW]
[ROW][C]222[/C][C]0.175436[/C][C]0.350872[/C][C]0.824564[/C][/ROW]
[ROW][C]223[/C][C]0.144629[/C][C]0.289259[/C][C]0.855371[/C][/ROW]
[ROW][C]224[/C][C]0.126514[/C][C]0.253028[/C][C]0.873486[/C][/ROW]
[ROW][C]225[/C][C]0.177277[/C][C]0.354554[/C][C]0.822723[/C][/ROW]
[ROW][C]226[/C][C]0.169371[/C][C]0.338742[/C][C]0.830629[/C][/ROW]
[ROW][C]227[/C][C]0.155533[/C][C]0.311066[/C][C]0.844467[/C][/ROW]
[ROW][C]228[/C][C]0.14862[/C][C]0.29724[/C][C]0.85138[/C][/ROW]
[ROW][C]229[/C][C]0.122095[/C][C]0.24419[/C][C]0.877905[/C][/ROW]
[ROW][C]230[/C][C]0.0974594[/C][C]0.194919[/C][C]0.902541[/C][/ROW]
[ROW][C]231[/C][C]0.0908909[/C][C]0.181782[/C][C]0.909109[/C][/ROW]
[ROW][C]232[/C][C]0.258586[/C][C]0.517172[/C][C]0.741414[/C][/ROW]
[ROW][C]233[/C][C]0.224966[/C][C]0.449932[/C][C]0.775034[/C][/ROW]
[ROW][C]234[/C][C]0.30985[/C][C]0.619701[/C][C]0.69015[/C][/ROW]
[ROW][C]235[/C][C]0.25679[/C][C]0.513581[/C][C]0.74321[/C][/ROW]
[ROW][C]236[/C][C]0.248287[/C][C]0.496574[/C][C]0.751713[/C][/ROW]
[ROW][C]237[/C][C]0.214462[/C][C]0.428924[/C][C]0.785538[/C][/ROW]
[ROW][C]238[/C][C]0.292302[/C][C]0.584605[/C][C]0.707698[/C][/ROW]
[ROW][C]239[/C][C]0.24097[/C][C]0.481941[/C][C]0.75903[/C][/ROW]
[ROW][C]240[/C][C]0.473786[/C][C]0.947573[/C][C]0.526214[/C][/ROW]
[ROW][C]241[/C][C]0.477923[/C][C]0.955847[/C][C]0.522077[/C][/ROW]
[ROW][C]242[/C][C]0.411581[/C][C]0.823162[/C][C]0.588419[/C][/ROW]
[ROW][C]243[/C][C]0.336432[/C][C]0.672865[/C][C]0.663568[/C][/ROW]
[ROW][C]244[/C][C]0.372767[/C][C]0.745534[/C][C]0.627233[/C][/ROW]
[ROW][C]245[/C][C]0.423306[/C][C]0.846612[/C][C]0.576694[/C][/ROW]
[ROW][C]246[/C][C]0.549561[/C][C]0.900877[/C][C]0.450439[/C][/ROW]
[ROW][C]247[/C][C]0.534108[/C][C]0.931784[/C][C]0.465892[/C][/ROW]
[ROW][C]248[/C][C]0.461879[/C][C]0.923759[/C][C]0.538121[/C][/ROW]
[ROW][C]249[/C][C]0.67479[/C][C]0.650421[/C][C]0.32521[/C][/ROW]
[ROW][C]250[/C][C]0.615626[/C][C]0.768748[/C][C]0.384374[/C][/ROW]
[ROW][C]251[/C][C]0.562825[/C][C]0.87435[/C][C]0.437175[/C][/ROW]
[ROW][C]252[/C][C]0.792325[/C][C]0.415351[/C][C]0.207675[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=222029&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=222029&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
120.1775240.3550480.822476
130.6950840.6098330.304916
140.6587710.6824580.341229
150.5645010.8709990.435499
160.5899060.8201890.410094
170.6545310.6909390.345469
180.6458860.7082280.354114
190.5549840.8900320.445016
200.589550.82090.41045
210.6209770.7580460.379023
220.5559050.8881910.444095
230.5685510.8628980.431449
240.4914380.9828750.508562
250.5826920.8346150.417308
260.7429890.5140220.257011
270.7176590.5646830.282341
280.6708150.658370.329185
290.6503910.6992170.349609
300.5893640.8212710.410636
310.5617230.8765530.438277
320.6466590.7066820.353341
330.6703920.6592160.329608
340.6189460.7621080.381054
350.5680460.8639090.431954
360.5136980.9726050.486302
370.4653860.9307720.534614
380.4521720.9043450.547828
390.5177320.9645360.482268
400.4662730.9325450.533727
410.4517590.9035170.548241
420.4037840.8075680.596216
430.3722330.7444660.627767
440.3345450.6690910.665455
450.42520.85040.5748
460.4468710.8937430.553129
470.4264980.8529950.573502
480.3901660.7803320.609834
490.3431210.6862420.656879
500.3604720.7209440.639528
510.3917670.7835350.608233
520.3501640.7003280.649836
530.3083410.6166810.691659
540.2748740.5497470.725126
550.2376450.475290.762355
560.236010.472020.76399
570.2581520.5163040.741848
580.3557770.7115550.644223
590.3220990.6441970.677901
600.2828430.5656870.717157
610.2507150.501430.749285
620.2412210.4824420.758779
630.2124320.4248630.787568
640.2090620.4181250.790938
650.1796940.3593890.820306
660.155010.3100190.84499
670.1340170.2680330.865983
680.1441070.2882130.855893
690.1520330.3040670.847967
700.12870.2573990.8713
710.1449070.2898130.855093
720.1614960.3229910.838504
730.1509410.3018830.849059
740.1287390.2574780.871261
750.1139030.2278070.886097
760.1612790.3225580.838721
770.1417780.2835560.858222
780.1205190.2410370.879481
790.1472920.2945830.852708
800.1757220.3514450.824278
810.163620.3272390.83638
820.1414460.2828920.858554
830.137770.275540.86223
840.1280420.2560840.871958
850.1097660.2195320.890234
860.09988740.1997750.900113
870.0867980.1735960.913202
880.09791230.1958250.902088
890.08221610.1644320.917784
900.08333590.1666720.916664
910.07987090.1597420.920129
920.07022550.1404510.929774
930.05835750.1167150.941642
940.05745940.1149190.942541
950.06047730.1209550.939523
960.05767880.1153580.942321
970.04927990.09855990.95072
980.04513570.09027140.954864
990.04336470.08672950.956635
1000.04166340.08332680.958337
1010.03809710.07619420.961903
1020.03116710.06233410.968833
1030.02520620.05041240.974794
1040.02440740.04881480.975593
1050.0606090.1212180.939391
1060.05811120.1162220.941889
1070.07321250.1464250.926788
1080.06367080.1273420.936329
1090.1038110.2076220.896189
1100.1187620.2375240.881238
1110.1126870.2253740.887313
1120.1448320.2896630.855168
1130.1340170.2680330.865983
1140.1326850.2653710.867315
1150.1281490.2562990.871851
1160.1238480.2476960.876152
1170.1189870.2379750.881013
1180.104020.208040.89598
1190.09958140.1991630.900419
1200.08842630.1768530.911574
1210.07654630.1530930.923454
1220.07073140.1414630.929269
1230.06081580.1216320.939184
1240.0590440.1180880.940956
1250.05494680.1098940.945053
1260.06963890.1392780.930361
1270.1281930.2563850.871807
1280.1246310.2492620.875369
1290.1115630.2231260.888437
1300.1022950.2045910.897705
1310.1087750.2175490.891225
1320.1184420.2368840.881558
1330.1391620.2783240.860838
1340.1234980.2469970.876502
1350.1066190.2132380.893381
1360.09280950.1856190.90719
1370.07922390.1584480.920776
1380.08475860.1695170.915241
1390.07270160.1454030.927298
1400.07052950.1410590.929471
1410.06656820.1331360.933432
1420.09028290.1805660.909717
1430.1051660.2103310.894834
1440.09786510.195730.902135
1450.176910.353820.82309
1460.1606440.3212880.839356
1470.1458790.2917580.854121
1480.127310.254620.87269
1490.1173840.2347670.882616
1500.1050990.2101980.894901
1510.1767650.3535290.823235
1520.1619810.3239620.838019
1530.1459920.2919830.854008
1540.1601120.3202250.839888
1550.1393420.2786840.860658
1560.1406270.2812530.859373
1570.1422840.2845680.857716
1580.1353560.2707110.864644
1590.1194280.2388560.880572
1600.1198090.2396170.880191
1610.1069040.2138080.893096
1620.1008680.2017360.899132
1630.0922410.1844820.907759
1640.1211210.2422410.878879
1650.1089050.217810.891095
1660.1882540.3765070.811746
1670.188620.377240.81138
1680.1782220.3564440.821778
1690.1629880.3259760.837012
1700.2767220.5534440.723278
1710.3015660.6031330.698434
1720.2702490.5404970.729751
1730.3691540.7383080.630846
1740.3336870.6673740.666313
1750.4001130.8002250.599887
1760.3735260.7470530.626474
1770.3770920.7541840.622908
1780.3446180.6892370.655382
1790.3146940.6293890.685306
1800.3129780.6259550.687022
1810.2828410.5656820.717159
1820.2822280.5644560.717772
1830.2941810.5883620.705819
1840.3714130.7428270.628587
1850.600220.799560.39978
1860.5801260.8397480.419874
1870.5767290.8465420.423271
1880.7347390.5305220.265261
1890.709150.5816990.29085
1900.7082950.5834090.291705
1910.672560.654880.32744
1920.6441640.7116720.355836
1930.6091570.7816870.390843
1940.5743290.8513410.425671
1950.5343070.9313850.465693
1960.4963870.9927740.503613
1970.4913460.9826920.508654
1980.461120.9222410.53888
1990.420410.8408210.57959
2000.4883410.9766830.511659
2010.4534140.9068280.546586
2020.6081940.7836120.391806
2030.585360.829280.41464
2040.5517720.8964570.448228
2050.5081940.9836110.491806
2060.4683460.9366920.531654
2070.4302240.8604480.569776
2080.3904470.7808940.609553
2090.362560.7251210.63744
2100.3277970.6555950.672203
2110.2934950.586990.706505
2120.27010.5402010.7299
2130.3324140.6648290.667586
2140.3200550.6401110.679945
2150.2802070.5604130.719793
2160.2468540.4937090.753146
2170.2224730.4449460.777527
2180.2376090.4752190.762391
2190.2082470.4164940.791753
2200.1982820.3965640.801718
2210.168020.3360390.83198
2220.1754360.3508720.824564
2230.1446290.2892590.855371
2240.1265140.2530280.873486
2250.1772770.3545540.822723
2260.1693710.3387420.830629
2270.1555330.3110660.844467
2280.148620.297240.85138
2290.1220950.244190.877905
2300.09745940.1949190.902541
2310.09089090.1817820.909109
2320.2585860.5171720.741414
2330.2249660.4499320.775034
2340.309850.6197010.69015
2350.256790.5135810.74321
2360.2482870.4965740.751713
2370.2144620.4289240.785538
2380.2923020.5846050.707698
2390.240970.4819410.75903
2400.4737860.9475730.526214
2410.4779230.9558470.522077
2420.4115810.8231620.588419
2430.3364320.6728650.663568
2440.3727670.7455340.627233
2450.4233060.8466120.576694
2460.5495610.9008770.450439
2470.5341080.9317840.465892
2480.4618790.9237590.538121
2490.674790.6504210.32521
2500.6156260.7687480.384374
2510.5628250.874350.437175
2520.7923250.4153510.207675






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level10.00414938OK
10% type I error level80.033195OK

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
Description & # significant tests & % significant tests & OK/NOK \tabularnewline
1% type I error level & 0 & 0 & OK \tabularnewline
5% type I error level & 1 & 0.00414938 & OK \tabularnewline
10% type I error level & 8 & 0.033195 & OK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=222029&T=6

[TABLE]
[ROW][C]Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]Description[/C][C]# significant tests[/C][C]% significant tests[/C][C]OK/NOK[/C][/ROW]
[ROW][C]1% type I error level[/C][C]0[/C][C]0[/C][C]OK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]1[/C][C]0.00414938[/C][C]OK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]8[/C][C]0.033195[/C][C]OK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=222029&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=222029&T=6

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


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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level10.00414938OK
10% type I error level80.033195OK


Figures (Output of Computation)

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

Parameters (Session):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = Linear Trend ;
Parameters (R input):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = Linear Trend ;
R code (references can be found in the software module):
library(lattice)
library(lmtest)
n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
par1 <- as.numeric(par1)
x <- t(y)
k <- length(x[1,])
n <- length(x[,1])
x1 <- cbind(x[,par1], x[,1:k!=par1])
mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1])
colnames(x1) <- mycolnames #colnames(x)[par1]
x <- x1
if (par3 == 'First Differences'){
x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep='')))
for (i in 1:n-1) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
}
if (par2 == 'Include Monthly Dummies'){
x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep ='')))
for (i in 1:11){
x2[seq(i,n,12),i] <- 1
}
x <- cbind(x, x2)
}
if (par2 == 'Include Quarterly Dummies'){
x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep ='')))
for (i in 1:3){
x2[seq(i,n,4),i] <- 1
}
x <- cbind(x, x2)
}
k <- length(x[1,])
if (par3 == 'Linear Trend'){
x <- cbind(x, c(1:n))
colnames(x)[k+1] <- 't'
}
x
k <- length(x[1,])
df <- as.data.frame(x)
(mylm <- lm(df))
(mysum <- summary(mylm))
if (n > n25) {
kp3 <- k + 3
nmkm3 <- n - k - 3
gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
numgqtests <- 0
numsignificant1 <- 0
numsignificant5 <- 0
numsignificant10 <- 0
for (mypoint in kp3:nmkm3) {
j <- 0
numgqtests <- numgqtests + 1
for (myalt in c('greater', 'two.sided', 'less')) {
j <- j + 1
gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value
}
if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1
if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1
if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1
}
gqarr
}
bitmap(file='test0.png')
plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')
points(x[,1]-mysum$resid)
grid()
dev.off()
bitmap(file='test1.png')
plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
grid()
dev.off()
bitmap(file='test2.png')
hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
grid()
dev.off()
bitmap(file='test3.png')
densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
dev.off()
bitmap(file='test4.png')
qqnorm(mysum$resid, main='Residual Normal Q-Q Plot')
qqline(mysum$resid)
grid()
dev.off()
(myerror <- as.ts(mysum$resid))
bitmap(file='test5.png')
dum <- cbind(lag(myerror,k=1),myerror)
dum
dum1 <- dum[2:length(myerror),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
lines(lowess(z))
abline(lm(z))
grid()
dev.off()
bitmap(file='test6.png')
acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
grid()
dev.off()
bitmap(file='test7.png')
pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
grid()
dev.off()
bitmap(file='test8.png')
opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
plot(mylm, las = 1, sub='Residual Diagnostics')
par(opar)
dev.off()
if (n > n25) {
bitmap(file='test9.png')
plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
grid()
dev.off()
}
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
a<-table.row.end(a)
myeq <- colnames(x)[1]
myeq <- paste(myeq, '[t] = ', sep='')
for (i in 1:k){
if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, signif(mysum$coefficients[i,1],6), sep=' ')
if (rownames(mysum$coefficients)[i] != '(Intercept)') {
myeq <- paste(myeq, rownames(mysum$coefficients)[i], sep='')
if (rownames(mysum$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='')
}
}
myeq <- paste(myeq, ' + e[t]')
a<-table.row.start(a)
a<-table.element(a, myeq)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',header=TRUE)
a<-table.element(a,'Parameter',header=TRUE)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE)
a<-table.element(a,'2-tail p-value',header=TRUE)
a<-table.element(a,'1-tail p-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:k){
a<-table.row.start(a)
a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE)
a<-table.element(a,signif(mysum$coefficients[i,1],6))
a<-table.element(a, signif(mysum$coefficients[i,2],6))
a<-table.element(a, signif(mysum$coefficients[i,3],4))
a<-table.element(a, signif(mysum$coefficients[i,4],6))
a<-table.element(a, signif(mysum$coefficients[i,4]/2,6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a, signif(sqrt(mysum$r.squared),6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a, signif(mysum$r.squared,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a, signif(mysum$adj.r.squared,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[1],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[2],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[3],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a, signif(1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]),6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Residual Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Residual Standard Deviation',1,TRUE)
a<-table.element(a, signif(mysum$sigma,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a, signif(sum(myerror*myerror),6))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,signif(x[i],6))
a<-table.element(a,signif(x[i]-mysum$resid[i],6))
a<-table.element(a,signif(mysum$resid[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable4.tab')
if (n > n25) {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-values',header=TRUE)
a<-table.element(a,'Alternative Hypothesis',3,header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'breakpoint index',header=TRUE)
a<-table.element(a,'greater',header=TRUE)
a<-table.element(a,'2-sided',header=TRUE)
a<-table.element(a,'less',header=TRUE)
a<-table.row.end(a)
for (mypoint in kp3:nmkm3) {
a<-table.row.start(a)
a<-table.element(a,mypoint,header=TRUE)
a<-table.element(a,signif(gqarr[mypoint-kp3+1,1],6))
a<-table.element(a,signif(gqarr[mypoint-kp3+1,2],6))
a<-table.element(a,signif(gqarr[mypoint-kp3+1,3],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable5.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Description',header=TRUE)
a<-table.element(a,'# significant tests',header=TRUE)
a<-table.element(a,'% significant tests',header=TRUE)
a<-table.element(a,'OK/NOK',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'1% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant1,6))
a<-table.element(a,signif(numsignificant1/numgqtests,6))
if (numsignificant1/numgqtests < 0.01) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'5% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant5,6))
a<-table.element(a,signif(numsignificant5/numgqtests,6))
if (numsignificant5/numgqtests < 0.05) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'10% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant10,6))
a<-table.element(a,signif(numsignificant10/numgqtests,6))
if (numsignificant10/numgqtests < 0.1) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable6.tab')
}