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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 computationMon, 18 Nov 2013 11:23:26 -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/18/t1384791909h78nuxezgvsjuqg.htm/, Retrieved Sat, 27 Apr 2024 07:52:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=226155, Retrieved Sat, 27 Apr 2024 07:52:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact72

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [WS 7] [2013-11-18 16:23:26] [93c26c69267707c240373d21fead6bfa] [Current]
- RM      [Multiple Regression] [Ws7] [2013-11-20 16:33:49] [e1b6e5c15a370139a1f66dc7648af660]
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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 time14 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 14 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226155&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]14 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226155&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226155&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 time14 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Multiple Linear Regression - Estimated Regression Equation
Happiness[t] = + 14.7691 + 0.0127929Connected[t] + 0.0101041Separate[t] + 0.113394Learning[t] -0.00716003Software[t] -0.378113Depression[t] + 0.00658166Sport1[t] + 0.0257972Sport2[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Happiness[t] =  +  14.7691 +  0.0127929Connected[t] +  0.0101041Separate[t] +  0.113394Learning[t] -0.00716003Software[t] -0.378113Depression[t] +  0.00658166Sport1[t] +  0.0257972Sport2[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226155&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Happiness[t] =  +  14.7691 +  0.0127929Connected[t] +  0.0101041Separate[t] +  0.113394Learning[t] -0.00716003Software[t] -0.378113Depression[t] +  0.00658166Sport1[t] +  0.0257972Sport2[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226155&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226155&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
Happiness[t] = + 14.7691 + 0.0127929Connected[t] + 0.0101041Separate[t] + 0.113394Learning[t] -0.00716003Software[t] -0.378113Depression[t] + 0.00658166Sport1[t] + 0.0257972Sport2[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)14.76911.85477.9635.49553e-142.74777e-14
Connected0.01279290.03742390.34180.7327540.366377
Separate0.01010410.03832170.26370.7922510.396125
Learning0.1133940.06663861.7020.09003960.0450198
Software-0.007160030.0688979-0.10390.9173120.458656
Depression-0.3781130.039124-9.6644.88043e-192.44021e-19
Sport10.006581660.0405880.16220.871310.435655
Sport20.02579720.06051360.42630.6702440.335122

\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) & 14.7691 & 1.8547 & 7.963 & 5.49553e-14 & 2.74777e-14 \tabularnewline
Connected & 0.0127929 & 0.0374239 & 0.3418 & 0.732754 & 0.366377 \tabularnewline
Separate & 0.0101041 & 0.0383217 & 0.2637 & 0.792251 & 0.396125 \tabularnewline
Learning & 0.113394 & 0.0666386 & 1.702 & 0.0900396 & 0.0450198 \tabularnewline
Software & -0.00716003 & 0.0688979 & -0.1039 & 0.917312 & 0.458656 \tabularnewline
Depression & -0.378113 & 0.039124 & -9.664 & 4.88043e-19 & 2.44021e-19 \tabularnewline
Sport1 & 0.00658166 & 0.040588 & 0.1622 & 0.87131 & 0.435655 \tabularnewline
Sport2 & 0.0257972 & 0.0605136 & 0.4263 & 0.670244 & 0.335122 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226155&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]14.7691[/C][C]1.8547[/C][C]7.963[/C][C]5.49553e-14[/C][C]2.74777e-14[/C][/ROW]
[ROW][C]Connected[/C][C]0.0127929[/C][C]0.0374239[/C][C]0.3418[/C][C]0.732754[/C][C]0.366377[/C][/ROW]
[ROW][C]Separate[/C][C]0.0101041[/C][C]0.0383217[/C][C]0.2637[/C][C]0.792251[/C][C]0.396125[/C][/ROW]
[ROW][C]Learning[/C][C]0.113394[/C][C]0.0666386[/C][C]1.702[/C][C]0.0900396[/C][C]0.0450198[/C][/ROW]
[ROW][C]Software[/C][C]-0.00716003[/C][C]0.0688979[/C][C]-0.1039[/C][C]0.917312[/C][C]0.458656[/C][/ROW]
[ROW][C]Depression[/C][C]-0.378113[/C][C]0.039124[/C][C]-9.664[/C][C]4.88043e-19[/C][C]2.44021e-19[/C][/ROW]
[ROW][C]Sport1[/C][C]0.00658166[/C][C]0.040588[/C][C]0.1622[/C][C]0.87131[/C][C]0.435655[/C][/ROW]
[ROW][C]Sport2[/C][C]0.0257972[/C][C]0.0605136[/C][C]0.4263[/C][C]0.670244[/C][C]0.335122[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226155&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226155&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)14.76911.85477.9635.49553e-142.74777e-14
Connected0.01279290.03742390.34180.7327540.366377
Separate0.01010410.03832170.26370.7922510.396125
Learning0.1133940.06663861.7020.09003960.0450198
Software-0.007160030.0688979-0.10390.9173120.458656
Depression-0.3781130.039124-9.6644.88043e-192.44021e-19
Sport10.006581660.0405880.16220.871310.435655
Sport20.02579720.06051360.42630.6702440.335122






Multiple Linear Regression - Regression Statistics
Multiple R0.602875
R-squared0.363458
Adjusted R-squared0.346053
F-TEST (value)20.8819
F-TEST (DF numerator)7
F-TEST (DF denominator)256
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.02058
Sum Squared Residuals1045.18

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.602875 \tabularnewline
R-squared & 0.363458 \tabularnewline
Adjusted R-squared & 0.346053 \tabularnewline
F-TEST (value) & 20.8819 \tabularnewline
F-TEST (DF numerator) & 7 \tabularnewline
F-TEST (DF denominator) & 256 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.02058 \tabularnewline
Sum Squared Residuals & 1045.18 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226155&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.602875[/C][/ROW]
[ROW][C]R-squared[/C][C]0.363458[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.346053[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]20.8819[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]7[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]256[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]2.02058[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]1045.18[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226155&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226155&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 R0.602875
R-squared0.363458
Adjusted R-squared0.346053
F-TEST (value)20.8819
F-TEST (DF numerator)7
F-TEST (DF denominator)256
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.02058
Sum Squared Residuals1045.18






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
11413.70270.297272
21815.02962.97043
31113.7779-2.77789
41214.1183-2.11835
51610.81885.18117
61814.10093.89915
71410.63463.36536
81414.7998-0.799808
91514.95160.0483504
101514.060.939952
111715.3141.68598
121915.48343.51664
131013.19-3.19
141613.30062.69936
151815.54412.45588
161413.14370.856269
171413.54320.456818
181715.63411.36588
191415.3121-1.31207
201613.61862.38145
211815.14742.85257
221113.4963-2.49632
231414.3827-0.382725
241213.4015-1.40151
251715.18131.81865
26915.7875-6.78752
271614.77621.22379
281413.08330.916716
291513.63371.36627
301113.714-2.71397
311615.48150.518545
321312.27630.72371
331714.8672.13299
341515.0929-0.0929388
351413.66380.336186
361615.17320.826822
37910.3297-1.32968
381514.10390.896123
391715.10181.89825
401315.0495-2.04946
411515.5534-0.553351
421613.37422.62581
431615.92080.0791677
441212.9146-0.91456
451514.43240.567586
461113.3214-2.32145
471515.2778-0.277775
481514.6780.322013
491713.2483.75205
501314.5754-1.57539
511615.10430.895702
521413.17680.823231
531111.3498-0.349804
541213.6104-1.61037
551213.6706-1.67063
561513.37071.62935
571614.07241.92763
581515.3334-0.333433
591215.0369-3.03692
601213.2014-1.20138
61810.3585-2.35847
621314.4574-1.45744
631114.4992-3.49919
641412.87641.12356
651513.53691.4631
661015.0567-5.05665
671112.6141-1.61407
681214.3888-2.3888
691513.42641.57356
701513.56311.4369
711413.35620.643803
721612.59343.40661
731514.39490.605139
741515.3152-0.315221
751314.8887-1.88871
761212.0408-0.0408339
771713.9923.00798
781312.41410.585899
791513.63251.3675
801315.0473-2.04731
811514.83080.169244
821515.5442-0.544221
831614.24321.75677
841514.21570.784258
851414.051-0.0509639
861513.91141.08862
871414.2634-0.263429
881312.72680.273188
89710.3912-3.39118
901713.57743.42264
911312.90830.0917245
921514.13750.862527
931413.18260.817375
941313.844-0.843988
951614.95421.04579
961212.8309-0.830891
971414.8207-0.82072
981714.92652.07352
991514.96390.0361371
1001715.2131.78703
1011212.9231-0.923132
1021615.12750.872505
1031114.4421-3.44215
1041513.00351.99654
105911.3134-2.31342
1061615.00410.995938
1071512.94282.0572
1081012.8538-2.85383
109109.056120.943883
1101513.83211.1679
1111113.1636-2.16358
1121315.2804-2.28045
1131411.76942.23057
1141814.05043.9496
1151615.66590.334096
1161413.0030.99702
1171413.7990.200983
1181415.0748-1.07485
1191413.68680.313158
1201212.4955-0.495482
1211413.5530.44701
1221514.8570.142955
1231516.0282-1.02821
1241514.63280.367227
1251314.7792-1.77918
1261716.20690.793066
1271715.4161.58405
1281914.93264.06741
1291513.52571.47428
1301314.6461-1.64613
131910.4098-1.40981
1321515.324-0.323999
1331512.48762.51242
1341514.26430.735674
1351613.71962.28043
136119.269371.73063
1371413.38440.615623
1381111.8907-0.890749
1391514.15770.842311
1401313.6767-0.676661
1411514.70460.295398
1421613.73812.26188
1431414.7227-0.722726
1441514.28970.710299
1451614.51611.48395
1461614.57461.42541
1471113.4413-2.4413
1481214.7411-2.74112
149911.4328-2.43283
1501614.12241.87757
1511312.59260.407438
1521615.45980.540177
1531214.4538-2.45384
154911.5083-2.50825
1551311.60411.39587
1561312.90830.0917245
1571413.25330.746701
1581914.93264.06741
1591315.7284-2.72841
1601211.90250.0974567
1611312.57560.424373
162109.248680.751323
1631413.18380.816184
1641611.68344.3166
1651012.0045-2.00453
166118.966012.03399
1671414.2093-0.209337
1681212.8443-0.84425
169912.7559-3.75595
170911.9488-2.94884
1711110.55740.44259
1721614.40351.59654
173914.1248-5.12484
1741311.22641.7736
1751613.48082.51917
1761315.3997-2.39967
177912.3863-3.38633
1781211.45810.541935
1791614.71231.28767
1801113.2023-2.20229
1811414.3692-0.369229
1821314.82-1.81997
1831515.013-0.0130424
1841415.1772-1.1772
18516141.99996
1861311.72171.27828
1871413.72480.275158
1881514.26850.731459
1891312.44320.556846
1901110.22090.779065
1911112.6622-1.6622
1921415.2353-1.23533
1931512.71712.28294
1941112.7422-1.74217
1951513.21971.78032
1961214.2998-2.2998
1971411.84122.1588
1981413.56160.438357
199811.2262-3.22617
2001313.8798-0.879806
201912.3457-3.34567
2021513.84381.15618
2031714.1182.88198
2041312.76690.233093
2051514.60230.397669
2061513.92241.07762
2071414.7672-0.767158
2081612.77923.22077
2091313.041-0.0410048
2101614.47211.52785
211911.8375-2.83748
2121614.77381.22616
2131112.3543-1.35428
2141013.9884-3.98837
2151112.3438-1.3438
2161513.46581.53418
2171715.13551.86452
2181414.4778-0.477834
219810.0118-2.01181
2201513.82621.17376
2211114.088-3.08799
2221613.7792.22103
2231012.3106-2.3106
2241514.99120.00878247
22599.57097-0.570968
2261614.32531.6747
2271914.05244.94762
2281213.8123-1.81225
22989.54164-1.54164
2301113.5085-2.5085
2311413.97750.0224551
232912.1638-3.16378
2331515.2008-0.200753
2341312.80050.199494
2351615.13580.86417
2361112.995-1.995
2371211.31830.681697
2381313.1556-0.155558
2391014.6056-4.6056
2401113.701-2.70096
2411214.9066-2.90658
242810.8942-2.89423
2431211.75750.242513
2441212.3979-0.397899
2451513.79831.20168
2461110.77250.227476
2471312.94030.0596899
248148.963575.03643
2491010.2628-0.262794
2501211.6090.390962
2511512.9572.04297
2521311.89631.10368
2531314.3341-1.33406
2541313.9837-0.983725
2551212.0197-0.01969
2561212.9248-0.924786
257910.9816-1.9816
258911.6531-2.65315
2591512.80832.19172
2601014.8149-4.81488
2611413.90390.0960751
2621513.71731.28271
26379.93743-2.93743
2641414.0323-0.0322842

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 14 & 13.7027 & 0.297272 \tabularnewline
2 & 18 & 15.0296 & 2.97043 \tabularnewline
3 & 11 & 13.7779 & -2.77789 \tabularnewline
4 & 12 & 14.1183 & -2.11835 \tabularnewline
5 & 16 & 10.8188 & 5.18117 \tabularnewline
6 & 18 & 14.1009 & 3.89915 \tabularnewline
7 & 14 & 10.6346 & 3.36536 \tabularnewline
8 & 14 & 14.7998 & -0.799808 \tabularnewline
9 & 15 & 14.9516 & 0.0483504 \tabularnewline
10 & 15 & 14.06 & 0.939952 \tabularnewline
11 & 17 & 15.314 & 1.68598 \tabularnewline
12 & 19 & 15.4834 & 3.51664 \tabularnewline
13 & 10 & 13.19 & -3.19 \tabularnewline
14 & 16 & 13.3006 & 2.69936 \tabularnewline
15 & 18 & 15.5441 & 2.45588 \tabularnewline
16 & 14 & 13.1437 & 0.856269 \tabularnewline
17 & 14 & 13.5432 & 0.456818 \tabularnewline
18 & 17 & 15.6341 & 1.36588 \tabularnewline
19 & 14 & 15.3121 & -1.31207 \tabularnewline
20 & 16 & 13.6186 & 2.38145 \tabularnewline
21 & 18 & 15.1474 & 2.85257 \tabularnewline
22 & 11 & 13.4963 & -2.49632 \tabularnewline
23 & 14 & 14.3827 & -0.382725 \tabularnewline
24 & 12 & 13.4015 & -1.40151 \tabularnewline
25 & 17 & 15.1813 & 1.81865 \tabularnewline
26 & 9 & 15.7875 & -6.78752 \tabularnewline
27 & 16 & 14.7762 & 1.22379 \tabularnewline
28 & 14 & 13.0833 & 0.916716 \tabularnewline
29 & 15 & 13.6337 & 1.36627 \tabularnewline
30 & 11 & 13.714 & -2.71397 \tabularnewline
31 & 16 & 15.4815 & 0.518545 \tabularnewline
32 & 13 & 12.2763 & 0.72371 \tabularnewline
33 & 17 & 14.867 & 2.13299 \tabularnewline
34 & 15 & 15.0929 & -0.0929388 \tabularnewline
35 & 14 & 13.6638 & 0.336186 \tabularnewline
36 & 16 & 15.1732 & 0.826822 \tabularnewline
37 & 9 & 10.3297 & -1.32968 \tabularnewline
38 & 15 & 14.1039 & 0.896123 \tabularnewline
39 & 17 & 15.1018 & 1.89825 \tabularnewline
40 & 13 & 15.0495 & -2.04946 \tabularnewline
41 & 15 & 15.5534 & -0.553351 \tabularnewline
42 & 16 & 13.3742 & 2.62581 \tabularnewline
43 & 16 & 15.9208 & 0.0791677 \tabularnewline
44 & 12 & 12.9146 & -0.91456 \tabularnewline
45 & 15 & 14.4324 & 0.567586 \tabularnewline
46 & 11 & 13.3214 & -2.32145 \tabularnewline
47 & 15 & 15.2778 & -0.277775 \tabularnewline
48 & 15 & 14.678 & 0.322013 \tabularnewline
49 & 17 & 13.248 & 3.75205 \tabularnewline
50 & 13 & 14.5754 & -1.57539 \tabularnewline
51 & 16 & 15.1043 & 0.895702 \tabularnewline
52 & 14 & 13.1768 & 0.823231 \tabularnewline
53 & 11 & 11.3498 & -0.349804 \tabularnewline
54 & 12 & 13.6104 & -1.61037 \tabularnewline
55 & 12 & 13.6706 & -1.67063 \tabularnewline
56 & 15 & 13.3707 & 1.62935 \tabularnewline
57 & 16 & 14.0724 & 1.92763 \tabularnewline
58 & 15 & 15.3334 & -0.333433 \tabularnewline
59 & 12 & 15.0369 & -3.03692 \tabularnewline
60 & 12 & 13.2014 & -1.20138 \tabularnewline
61 & 8 & 10.3585 & -2.35847 \tabularnewline
62 & 13 & 14.4574 & -1.45744 \tabularnewline
63 & 11 & 14.4992 & -3.49919 \tabularnewline
64 & 14 & 12.8764 & 1.12356 \tabularnewline
65 & 15 & 13.5369 & 1.4631 \tabularnewline
66 & 10 & 15.0567 & -5.05665 \tabularnewline
67 & 11 & 12.6141 & -1.61407 \tabularnewline
68 & 12 & 14.3888 & -2.3888 \tabularnewline
69 & 15 & 13.4264 & 1.57356 \tabularnewline
70 & 15 & 13.5631 & 1.4369 \tabularnewline
71 & 14 & 13.3562 & 0.643803 \tabularnewline
72 & 16 & 12.5934 & 3.40661 \tabularnewline
73 & 15 & 14.3949 & 0.605139 \tabularnewline
74 & 15 & 15.3152 & -0.315221 \tabularnewline
75 & 13 & 14.8887 & -1.88871 \tabularnewline
76 & 12 & 12.0408 & -0.0408339 \tabularnewline
77 & 17 & 13.992 & 3.00798 \tabularnewline
78 & 13 & 12.4141 & 0.585899 \tabularnewline
79 & 15 & 13.6325 & 1.3675 \tabularnewline
80 & 13 & 15.0473 & -2.04731 \tabularnewline
81 & 15 & 14.8308 & 0.169244 \tabularnewline
82 & 15 & 15.5442 & -0.544221 \tabularnewline
83 & 16 & 14.2432 & 1.75677 \tabularnewline
84 & 15 & 14.2157 & 0.784258 \tabularnewline
85 & 14 & 14.051 & -0.0509639 \tabularnewline
86 & 15 & 13.9114 & 1.08862 \tabularnewline
87 & 14 & 14.2634 & -0.263429 \tabularnewline
88 & 13 & 12.7268 & 0.273188 \tabularnewline
89 & 7 & 10.3912 & -3.39118 \tabularnewline
90 & 17 & 13.5774 & 3.42264 \tabularnewline
91 & 13 & 12.9083 & 0.0917245 \tabularnewline
92 & 15 & 14.1375 & 0.862527 \tabularnewline
93 & 14 & 13.1826 & 0.817375 \tabularnewline
94 & 13 & 13.844 & -0.843988 \tabularnewline
95 & 16 & 14.9542 & 1.04579 \tabularnewline
96 & 12 & 12.8309 & -0.830891 \tabularnewline
97 & 14 & 14.8207 & -0.82072 \tabularnewline
98 & 17 & 14.9265 & 2.07352 \tabularnewline
99 & 15 & 14.9639 & 0.0361371 \tabularnewline
100 & 17 & 15.213 & 1.78703 \tabularnewline
101 & 12 & 12.9231 & -0.923132 \tabularnewline
102 & 16 & 15.1275 & 0.872505 \tabularnewline
103 & 11 & 14.4421 & -3.44215 \tabularnewline
104 & 15 & 13.0035 & 1.99654 \tabularnewline
105 & 9 & 11.3134 & -2.31342 \tabularnewline
106 & 16 & 15.0041 & 0.995938 \tabularnewline
107 & 15 & 12.9428 & 2.0572 \tabularnewline
108 & 10 & 12.8538 & -2.85383 \tabularnewline
109 & 10 & 9.05612 & 0.943883 \tabularnewline
110 & 15 & 13.8321 & 1.1679 \tabularnewline
111 & 11 & 13.1636 & -2.16358 \tabularnewline
112 & 13 & 15.2804 & -2.28045 \tabularnewline
113 & 14 & 11.7694 & 2.23057 \tabularnewline
114 & 18 & 14.0504 & 3.9496 \tabularnewline
115 & 16 & 15.6659 & 0.334096 \tabularnewline
116 & 14 & 13.003 & 0.99702 \tabularnewline
117 & 14 & 13.799 & 0.200983 \tabularnewline
118 & 14 & 15.0748 & -1.07485 \tabularnewline
119 & 14 & 13.6868 & 0.313158 \tabularnewline
120 & 12 & 12.4955 & -0.495482 \tabularnewline
121 & 14 & 13.553 & 0.44701 \tabularnewline
122 & 15 & 14.857 & 0.142955 \tabularnewline
123 & 15 & 16.0282 & -1.02821 \tabularnewline
124 & 15 & 14.6328 & 0.367227 \tabularnewline
125 & 13 & 14.7792 & -1.77918 \tabularnewline
126 & 17 & 16.2069 & 0.793066 \tabularnewline
127 & 17 & 15.416 & 1.58405 \tabularnewline
128 & 19 & 14.9326 & 4.06741 \tabularnewline
129 & 15 & 13.5257 & 1.47428 \tabularnewline
130 & 13 & 14.6461 & -1.64613 \tabularnewline
131 & 9 & 10.4098 & -1.40981 \tabularnewline
132 & 15 & 15.324 & -0.323999 \tabularnewline
133 & 15 & 12.4876 & 2.51242 \tabularnewline
134 & 15 & 14.2643 & 0.735674 \tabularnewline
135 & 16 & 13.7196 & 2.28043 \tabularnewline
136 & 11 & 9.26937 & 1.73063 \tabularnewline
137 & 14 & 13.3844 & 0.615623 \tabularnewline
138 & 11 & 11.8907 & -0.890749 \tabularnewline
139 & 15 & 14.1577 & 0.842311 \tabularnewline
140 & 13 & 13.6767 & -0.676661 \tabularnewline
141 & 15 & 14.7046 & 0.295398 \tabularnewline
142 & 16 & 13.7381 & 2.26188 \tabularnewline
143 & 14 & 14.7227 & -0.722726 \tabularnewline
144 & 15 & 14.2897 & 0.710299 \tabularnewline
145 & 16 & 14.5161 & 1.48395 \tabularnewline
146 & 16 & 14.5746 & 1.42541 \tabularnewline
147 & 11 & 13.4413 & -2.4413 \tabularnewline
148 & 12 & 14.7411 & -2.74112 \tabularnewline
149 & 9 & 11.4328 & -2.43283 \tabularnewline
150 & 16 & 14.1224 & 1.87757 \tabularnewline
151 & 13 & 12.5926 & 0.407438 \tabularnewline
152 & 16 & 15.4598 & 0.540177 \tabularnewline
153 & 12 & 14.4538 & -2.45384 \tabularnewline
154 & 9 & 11.5083 & -2.50825 \tabularnewline
155 & 13 & 11.6041 & 1.39587 \tabularnewline
156 & 13 & 12.9083 & 0.0917245 \tabularnewline
157 & 14 & 13.2533 & 0.746701 \tabularnewline
158 & 19 & 14.9326 & 4.06741 \tabularnewline
159 & 13 & 15.7284 & -2.72841 \tabularnewline
160 & 12 & 11.9025 & 0.0974567 \tabularnewline
161 & 13 & 12.5756 & 0.424373 \tabularnewline
162 & 10 & 9.24868 & 0.751323 \tabularnewline
163 & 14 & 13.1838 & 0.816184 \tabularnewline
164 & 16 & 11.6834 & 4.3166 \tabularnewline
165 & 10 & 12.0045 & -2.00453 \tabularnewline
166 & 11 & 8.96601 & 2.03399 \tabularnewline
167 & 14 & 14.2093 & -0.209337 \tabularnewline
168 & 12 & 12.8443 & -0.84425 \tabularnewline
169 & 9 & 12.7559 & -3.75595 \tabularnewline
170 & 9 & 11.9488 & -2.94884 \tabularnewline
171 & 11 & 10.5574 & 0.44259 \tabularnewline
172 & 16 & 14.4035 & 1.59654 \tabularnewline
173 & 9 & 14.1248 & -5.12484 \tabularnewline
174 & 13 & 11.2264 & 1.7736 \tabularnewline
175 & 16 & 13.4808 & 2.51917 \tabularnewline
176 & 13 & 15.3997 & -2.39967 \tabularnewline
177 & 9 & 12.3863 & -3.38633 \tabularnewline
178 & 12 & 11.4581 & 0.541935 \tabularnewline
179 & 16 & 14.7123 & 1.28767 \tabularnewline
180 & 11 & 13.2023 & -2.20229 \tabularnewline
181 & 14 & 14.3692 & -0.369229 \tabularnewline
182 & 13 & 14.82 & -1.81997 \tabularnewline
183 & 15 & 15.013 & -0.0130424 \tabularnewline
184 & 14 & 15.1772 & -1.1772 \tabularnewline
185 & 16 & 14 & 1.99996 \tabularnewline
186 & 13 & 11.7217 & 1.27828 \tabularnewline
187 & 14 & 13.7248 & 0.275158 \tabularnewline
188 & 15 & 14.2685 & 0.731459 \tabularnewline
189 & 13 & 12.4432 & 0.556846 \tabularnewline
190 & 11 & 10.2209 & 0.779065 \tabularnewline
191 & 11 & 12.6622 & -1.6622 \tabularnewline
192 & 14 & 15.2353 & -1.23533 \tabularnewline
193 & 15 & 12.7171 & 2.28294 \tabularnewline
194 & 11 & 12.7422 & -1.74217 \tabularnewline
195 & 15 & 13.2197 & 1.78032 \tabularnewline
196 & 12 & 14.2998 & -2.2998 \tabularnewline
197 & 14 & 11.8412 & 2.1588 \tabularnewline
198 & 14 & 13.5616 & 0.438357 \tabularnewline
199 & 8 & 11.2262 & -3.22617 \tabularnewline
200 & 13 & 13.8798 & -0.879806 \tabularnewline
201 & 9 & 12.3457 & -3.34567 \tabularnewline
202 & 15 & 13.8438 & 1.15618 \tabularnewline
203 & 17 & 14.118 & 2.88198 \tabularnewline
204 & 13 & 12.7669 & 0.233093 \tabularnewline
205 & 15 & 14.6023 & 0.397669 \tabularnewline
206 & 15 & 13.9224 & 1.07762 \tabularnewline
207 & 14 & 14.7672 & -0.767158 \tabularnewline
208 & 16 & 12.7792 & 3.22077 \tabularnewline
209 & 13 & 13.041 & -0.0410048 \tabularnewline
210 & 16 & 14.4721 & 1.52785 \tabularnewline
211 & 9 & 11.8375 & -2.83748 \tabularnewline
212 & 16 & 14.7738 & 1.22616 \tabularnewline
213 & 11 & 12.3543 & -1.35428 \tabularnewline
214 & 10 & 13.9884 & -3.98837 \tabularnewline
215 & 11 & 12.3438 & -1.3438 \tabularnewline
216 & 15 & 13.4658 & 1.53418 \tabularnewline
217 & 17 & 15.1355 & 1.86452 \tabularnewline
218 & 14 & 14.4778 & -0.477834 \tabularnewline
219 & 8 & 10.0118 & -2.01181 \tabularnewline
220 & 15 & 13.8262 & 1.17376 \tabularnewline
221 & 11 & 14.088 & -3.08799 \tabularnewline
222 & 16 & 13.779 & 2.22103 \tabularnewline
223 & 10 & 12.3106 & -2.3106 \tabularnewline
224 & 15 & 14.9912 & 0.00878247 \tabularnewline
225 & 9 & 9.57097 & -0.570968 \tabularnewline
226 & 16 & 14.3253 & 1.6747 \tabularnewline
227 & 19 & 14.0524 & 4.94762 \tabularnewline
228 & 12 & 13.8123 & -1.81225 \tabularnewline
229 & 8 & 9.54164 & -1.54164 \tabularnewline
230 & 11 & 13.5085 & -2.5085 \tabularnewline
231 & 14 & 13.9775 & 0.0224551 \tabularnewline
232 & 9 & 12.1638 & -3.16378 \tabularnewline
233 & 15 & 15.2008 & -0.200753 \tabularnewline
234 & 13 & 12.8005 & 0.199494 \tabularnewline
235 & 16 & 15.1358 & 0.86417 \tabularnewline
236 & 11 & 12.995 & -1.995 \tabularnewline
237 & 12 & 11.3183 & 0.681697 \tabularnewline
238 & 13 & 13.1556 & -0.155558 \tabularnewline
239 & 10 & 14.6056 & -4.6056 \tabularnewline
240 & 11 & 13.701 & -2.70096 \tabularnewline
241 & 12 & 14.9066 & -2.90658 \tabularnewline
242 & 8 & 10.8942 & -2.89423 \tabularnewline
243 & 12 & 11.7575 & 0.242513 \tabularnewline
244 & 12 & 12.3979 & -0.397899 \tabularnewline
245 & 15 & 13.7983 & 1.20168 \tabularnewline
246 & 11 & 10.7725 & 0.227476 \tabularnewline
247 & 13 & 12.9403 & 0.0596899 \tabularnewline
248 & 14 & 8.96357 & 5.03643 \tabularnewline
249 & 10 & 10.2628 & -0.262794 \tabularnewline
250 & 12 & 11.609 & 0.390962 \tabularnewline
251 & 15 & 12.957 & 2.04297 \tabularnewline
252 & 13 & 11.8963 & 1.10368 \tabularnewline
253 & 13 & 14.3341 & -1.33406 \tabularnewline
254 & 13 & 13.9837 & -0.983725 \tabularnewline
255 & 12 & 12.0197 & -0.01969 \tabularnewline
256 & 12 & 12.9248 & -0.924786 \tabularnewline
257 & 9 & 10.9816 & -1.9816 \tabularnewline
258 & 9 & 11.6531 & -2.65315 \tabularnewline
259 & 15 & 12.8083 & 2.19172 \tabularnewline
260 & 10 & 14.8149 & -4.81488 \tabularnewline
261 & 14 & 13.9039 & 0.0960751 \tabularnewline
262 & 15 & 13.7173 & 1.28271 \tabularnewline
263 & 7 & 9.93743 & -2.93743 \tabularnewline
264 & 14 & 14.0323 & -0.0322842 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226155&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]14[/C][C]13.7027[/C][C]0.297272[/C][/ROW]
[ROW][C]2[/C][C]18[/C][C]15.0296[/C][C]2.97043[/C][/ROW]
[ROW][C]3[/C][C]11[/C][C]13.7779[/C][C]-2.77789[/C][/ROW]
[ROW][C]4[/C][C]12[/C][C]14.1183[/C][C]-2.11835[/C][/ROW]
[ROW][C]5[/C][C]16[/C][C]10.8188[/C][C]5.18117[/C][/ROW]
[ROW][C]6[/C][C]18[/C][C]14.1009[/C][C]3.89915[/C][/ROW]
[ROW][C]7[/C][C]14[/C][C]10.6346[/C][C]3.36536[/C][/ROW]
[ROW][C]8[/C][C]14[/C][C]14.7998[/C][C]-0.799808[/C][/ROW]
[ROW][C]9[/C][C]15[/C][C]14.9516[/C][C]0.0483504[/C][/ROW]
[ROW][C]10[/C][C]15[/C][C]14.06[/C][C]0.939952[/C][/ROW]
[ROW][C]11[/C][C]17[/C][C]15.314[/C][C]1.68598[/C][/ROW]
[ROW][C]12[/C][C]19[/C][C]15.4834[/C][C]3.51664[/C][/ROW]
[ROW][C]13[/C][C]10[/C][C]13.19[/C][C]-3.19[/C][/ROW]
[ROW][C]14[/C][C]16[/C][C]13.3006[/C][C]2.69936[/C][/ROW]
[ROW][C]15[/C][C]18[/C][C]15.5441[/C][C]2.45588[/C][/ROW]
[ROW][C]16[/C][C]14[/C][C]13.1437[/C][C]0.856269[/C][/ROW]
[ROW][C]17[/C][C]14[/C][C]13.5432[/C][C]0.456818[/C][/ROW]
[ROW][C]18[/C][C]17[/C][C]15.6341[/C][C]1.36588[/C][/ROW]
[ROW][C]19[/C][C]14[/C][C]15.3121[/C][C]-1.31207[/C][/ROW]
[ROW][C]20[/C][C]16[/C][C]13.6186[/C][C]2.38145[/C][/ROW]
[ROW][C]21[/C][C]18[/C][C]15.1474[/C][C]2.85257[/C][/ROW]
[ROW][C]22[/C][C]11[/C][C]13.4963[/C][C]-2.49632[/C][/ROW]
[ROW][C]23[/C][C]14[/C][C]14.3827[/C][C]-0.382725[/C][/ROW]
[ROW][C]24[/C][C]12[/C][C]13.4015[/C][C]-1.40151[/C][/ROW]
[ROW][C]25[/C][C]17[/C][C]15.1813[/C][C]1.81865[/C][/ROW]
[ROW][C]26[/C][C]9[/C][C]15.7875[/C][C]-6.78752[/C][/ROW]
[ROW][C]27[/C][C]16[/C][C]14.7762[/C][C]1.22379[/C][/ROW]
[ROW][C]28[/C][C]14[/C][C]13.0833[/C][C]0.916716[/C][/ROW]
[ROW][C]29[/C][C]15[/C][C]13.6337[/C][C]1.36627[/C][/ROW]
[ROW][C]30[/C][C]11[/C][C]13.714[/C][C]-2.71397[/C][/ROW]
[ROW][C]31[/C][C]16[/C][C]15.4815[/C][C]0.518545[/C][/ROW]
[ROW][C]32[/C][C]13[/C][C]12.2763[/C][C]0.72371[/C][/ROW]
[ROW][C]33[/C][C]17[/C][C]14.867[/C][C]2.13299[/C][/ROW]
[ROW][C]34[/C][C]15[/C][C]15.0929[/C][C]-0.0929388[/C][/ROW]
[ROW][C]35[/C][C]14[/C][C]13.6638[/C][C]0.336186[/C][/ROW]
[ROW][C]36[/C][C]16[/C][C]15.1732[/C][C]0.826822[/C][/ROW]
[ROW][C]37[/C][C]9[/C][C]10.3297[/C][C]-1.32968[/C][/ROW]
[ROW][C]38[/C][C]15[/C][C]14.1039[/C][C]0.896123[/C][/ROW]
[ROW][C]39[/C][C]17[/C][C]15.1018[/C][C]1.89825[/C][/ROW]
[ROW][C]40[/C][C]13[/C][C]15.0495[/C][C]-2.04946[/C][/ROW]
[ROW][C]41[/C][C]15[/C][C]15.5534[/C][C]-0.553351[/C][/ROW]
[ROW][C]42[/C][C]16[/C][C]13.3742[/C][C]2.62581[/C][/ROW]
[ROW][C]43[/C][C]16[/C][C]15.9208[/C][C]0.0791677[/C][/ROW]
[ROW][C]44[/C][C]12[/C][C]12.9146[/C][C]-0.91456[/C][/ROW]
[ROW][C]45[/C][C]15[/C][C]14.4324[/C][C]0.567586[/C][/ROW]
[ROW][C]46[/C][C]11[/C][C]13.3214[/C][C]-2.32145[/C][/ROW]
[ROW][C]47[/C][C]15[/C][C]15.2778[/C][C]-0.277775[/C][/ROW]
[ROW][C]48[/C][C]15[/C][C]14.678[/C][C]0.322013[/C][/ROW]
[ROW][C]49[/C][C]17[/C][C]13.248[/C][C]3.75205[/C][/ROW]
[ROW][C]50[/C][C]13[/C][C]14.5754[/C][C]-1.57539[/C][/ROW]
[ROW][C]51[/C][C]16[/C][C]15.1043[/C][C]0.895702[/C][/ROW]
[ROW][C]52[/C][C]14[/C][C]13.1768[/C][C]0.823231[/C][/ROW]
[ROW][C]53[/C][C]11[/C][C]11.3498[/C][C]-0.349804[/C][/ROW]
[ROW][C]54[/C][C]12[/C][C]13.6104[/C][C]-1.61037[/C][/ROW]
[ROW][C]55[/C][C]12[/C][C]13.6706[/C][C]-1.67063[/C][/ROW]
[ROW][C]56[/C][C]15[/C][C]13.3707[/C][C]1.62935[/C][/ROW]
[ROW][C]57[/C][C]16[/C][C]14.0724[/C][C]1.92763[/C][/ROW]
[ROW][C]58[/C][C]15[/C][C]15.3334[/C][C]-0.333433[/C][/ROW]
[ROW][C]59[/C][C]12[/C][C]15.0369[/C][C]-3.03692[/C][/ROW]
[ROW][C]60[/C][C]12[/C][C]13.2014[/C][C]-1.20138[/C][/ROW]
[ROW][C]61[/C][C]8[/C][C]10.3585[/C][C]-2.35847[/C][/ROW]
[ROW][C]62[/C][C]13[/C][C]14.4574[/C][C]-1.45744[/C][/ROW]
[ROW][C]63[/C][C]11[/C][C]14.4992[/C][C]-3.49919[/C][/ROW]
[ROW][C]64[/C][C]14[/C][C]12.8764[/C][C]1.12356[/C][/ROW]
[ROW][C]65[/C][C]15[/C][C]13.5369[/C][C]1.4631[/C][/ROW]
[ROW][C]66[/C][C]10[/C][C]15.0567[/C][C]-5.05665[/C][/ROW]
[ROW][C]67[/C][C]11[/C][C]12.6141[/C][C]-1.61407[/C][/ROW]
[ROW][C]68[/C][C]12[/C][C]14.3888[/C][C]-2.3888[/C][/ROW]
[ROW][C]69[/C][C]15[/C][C]13.4264[/C][C]1.57356[/C][/ROW]
[ROW][C]70[/C][C]15[/C][C]13.5631[/C][C]1.4369[/C][/ROW]
[ROW][C]71[/C][C]14[/C][C]13.3562[/C][C]0.643803[/C][/ROW]
[ROW][C]72[/C][C]16[/C][C]12.5934[/C][C]3.40661[/C][/ROW]
[ROW][C]73[/C][C]15[/C][C]14.3949[/C][C]0.605139[/C][/ROW]
[ROW][C]74[/C][C]15[/C][C]15.3152[/C][C]-0.315221[/C][/ROW]
[ROW][C]75[/C][C]13[/C][C]14.8887[/C][C]-1.88871[/C][/ROW]
[ROW][C]76[/C][C]12[/C][C]12.0408[/C][C]-0.0408339[/C][/ROW]
[ROW][C]77[/C][C]17[/C][C]13.992[/C][C]3.00798[/C][/ROW]
[ROW][C]78[/C][C]13[/C][C]12.4141[/C][C]0.585899[/C][/ROW]
[ROW][C]79[/C][C]15[/C][C]13.6325[/C][C]1.3675[/C][/ROW]
[ROW][C]80[/C][C]13[/C][C]15.0473[/C][C]-2.04731[/C][/ROW]
[ROW][C]81[/C][C]15[/C][C]14.8308[/C][C]0.169244[/C][/ROW]
[ROW][C]82[/C][C]15[/C][C]15.5442[/C][C]-0.544221[/C][/ROW]
[ROW][C]83[/C][C]16[/C][C]14.2432[/C][C]1.75677[/C][/ROW]
[ROW][C]84[/C][C]15[/C][C]14.2157[/C][C]0.784258[/C][/ROW]
[ROW][C]85[/C][C]14[/C][C]14.051[/C][C]-0.0509639[/C][/ROW]
[ROW][C]86[/C][C]15[/C][C]13.9114[/C][C]1.08862[/C][/ROW]
[ROW][C]87[/C][C]14[/C][C]14.2634[/C][C]-0.263429[/C][/ROW]
[ROW][C]88[/C][C]13[/C][C]12.7268[/C][C]0.273188[/C][/ROW]
[ROW][C]89[/C][C]7[/C][C]10.3912[/C][C]-3.39118[/C][/ROW]
[ROW][C]90[/C][C]17[/C][C]13.5774[/C][C]3.42264[/C][/ROW]
[ROW][C]91[/C][C]13[/C][C]12.9083[/C][C]0.0917245[/C][/ROW]
[ROW][C]92[/C][C]15[/C][C]14.1375[/C][C]0.862527[/C][/ROW]
[ROW][C]93[/C][C]14[/C][C]13.1826[/C][C]0.817375[/C][/ROW]
[ROW][C]94[/C][C]13[/C][C]13.844[/C][C]-0.843988[/C][/ROW]
[ROW][C]95[/C][C]16[/C][C]14.9542[/C][C]1.04579[/C][/ROW]
[ROW][C]96[/C][C]12[/C][C]12.8309[/C][C]-0.830891[/C][/ROW]
[ROW][C]97[/C][C]14[/C][C]14.8207[/C][C]-0.82072[/C][/ROW]
[ROW][C]98[/C][C]17[/C][C]14.9265[/C][C]2.07352[/C][/ROW]
[ROW][C]99[/C][C]15[/C][C]14.9639[/C][C]0.0361371[/C][/ROW]
[ROW][C]100[/C][C]17[/C][C]15.213[/C][C]1.78703[/C][/ROW]
[ROW][C]101[/C][C]12[/C][C]12.9231[/C][C]-0.923132[/C][/ROW]
[ROW][C]102[/C][C]16[/C][C]15.1275[/C][C]0.872505[/C][/ROW]
[ROW][C]103[/C][C]11[/C][C]14.4421[/C][C]-3.44215[/C][/ROW]
[ROW][C]104[/C][C]15[/C][C]13.0035[/C][C]1.99654[/C][/ROW]
[ROW][C]105[/C][C]9[/C][C]11.3134[/C][C]-2.31342[/C][/ROW]
[ROW][C]106[/C][C]16[/C][C]15.0041[/C][C]0.995938[/C][/ROW]
[ROW][C]107[/C][C]15[/C][C]12.9428[/C][C]2.0572[/C][/ROW]
[ROW][C]108[/C][C]10[/C][C]12.8538[/C][C]-2.85383[/C][/ROW]
[ROW][C]109[/C][C]10[/C][C]9.05612[/C][C]0.943883[/C][/ROW]
[ROW][C]110[/C][C]15[/C][C]13.8321[/C][C]1.1679[/C][/ROW]
[ROW][C]111[/C][C]11[/C][C]13.1636[/C][C]-2.16358[/C][/ROW]
[ROW][C]112[/C][C]13[/C][C]15.2804[/C][C]-2.28045[/C][/ROW]
[ROW][C]113[/C][C]14[/C][C]11.7694[/C][C]2.23057[/C][/ROW]
[ROW][C]114[/C][C]18[/C][C]14.0504[/C][C]3.9496[/C][/ROW]
[ROW][C]115[/C][C]16[/C][C]15.6659[/C][C]0.334096[/C][/ROW]
[ROW][C]116[/C][C]14[/C][C]13.003[/C][C]0.99702[/C][/ROW]
[ROW][C]117[/C][C]14[/C][C]13.799[/C][C]0.200983[/C][/ROW]
[ROW][C]118[/C][C]14[/C][C]15.0748[/C][C]-1.07485[/C][/ROW]
[ROW][C]119[/C][C]14[/C][C]13.6868[/C][C]0.313158[/C][/ROW]
[ROW][C]120[/C][C]12[/C][C]12.4955[/C][C]-0.495482[/C][/ROW]
[ROW][C]121[/C][C]14[/C][C]13.553[/C][C]0.44701[/C][/ROW]
[ROW][C]122[/C][C]15[/C][C]14.857[/C][C]0.142955[/C][/ROW]
[ROW][C]123[/C][C]15[/C][C]16.0282[/C][C]-1.02821[/C][/ROW]
[ROW][C]124[/C][C]15[/C][C]14.6328[/C][C]0.367227[/C][/ROW]
[ROW][C]125[/C][C]13[/C][C]14.7792[/C][C]-1.77918[/C][/ROW]
[ROW][C]126[/C][C]17[/C][C]16.2069[/C][C]0.793066[/C][/ROW]
[ROW][C]127[/C][C]17[/C][C]15.416[/C][C]1.58405[/C][/ROW]
[ROW][C]128[/C][C]19[/C][C]14.9326[/C][C]4.06741[/C][/ROW]
[ROW][C]129[/C][C]15[/C][C]13.5257[/C][C]1.47428[/C][/ROW]
[ROW][C]130[/C][C]13[/C][C]14.6461[/C][C]-1.64613[/C][/ROW]
[ROW][C]131[/C][C]9[/C][C]10.4098[/C][C]-1.40981[/C][/ROW]
[ROW][C]132[/C][C]15[/C][C]15.324[/C][C]-0.323999[/C][/ROW]
[ROW][C]133[/C][C]15[/C][C]12.4876[/C][C]2.51242[/C][/ROW]
[ROW][C]134[/C][C]15[/C][C]14.2643[/C][C]0.735674[/C][/ROW]
[ROW][C]135[/C][C]16[/C][C]13.7196[/C][C]2.28043[/C][/ROW]
[ROW][C]136[/C][C]11[/C][C]9.26937[/C][C]1.73063[/C][/ROW]
[ROW][C]137[/C][C]14[/C][C]13.3844[/C][C]0.615623[/C][/ROW]
[ROW][C]138[/C][C]11[/C][C]11.8907[/C][C]-0.890749[/C][/ROW]
[ROW][C]139[/C][C]15[/C][C]14.1577[/C][C]0.842311[/C][/ROW]
[ROW][C]140[/C][C]13[/C][C]13.6767[/C][C]-0.676661[/C][/ROW]
[ROW][C]141[/C][C]15[/C][C]14.7046[/C][C]0.295398[/C][/ROW]
[ROW][C]142[/C][C]16[/C][C]13.7381[/C][C]2.26188[/C][/ROW]
[ROW][C]143[/C][C]14[/C][C]14.7227[/C][C]-0.722726[/C][/ROW]
[ROW][C]144[/C][C]15[/C][C]14.2897[/C][C]0.710299[/C][/ROW]
[ROW][C]145[/C][C]16[/C][C]14.5161[/C][C]1.48395[/C][/ROW]
[ROW][C]146[/C][C]16[/C][C]14.5746[/C][C]1.42541[/C][/ROW]
[ROW][C]147[/C][C]11[/C][C]13.4413[/C][C]-2.4413[/C][/ROW]
[ROW][C]148[/C][C]12[/C][C]14.7411[/C][C]-2.74112[/C][/ROW]
[ROW][C]149[/C][C]9[/C][C]11.4328[/C][C]-2.43283[/C][/ROW]
[ROW][C]150[/C][C]16[/C][C]14.1224[/C][C]1.87757[/C][/ROW]
[ROW][C]151[/C][C]13[/C][C]12.5926[/C][C]0.407438[/C][/ROW]
[ROW][C]152[/C][C]16[/C][C]15.4598[/C][C]0.540177[/C][/ROW]
[ROW][C]153[/C][C]12[/C][C]14.4538[/C][C]-2.45384[/C][/ROW]
[ROW][C]154[/C][C]9[/C][C]11.5083[/C][C]-2.50825[/C][/ROW]
[ROW][C]155[/C][C]13[/C][C]11.6041[/C][C]1.39587[/C][/ROW]
[ROW][C]156[/C][C]13[/C][C]12.9083[/C][C]0.0917245[/C][/ROW]
[ROW][C]157[/C][C]14[/C][C]13.2533[/C][C]0.746701[/C][/ROW]
[ROW][C]158[/C][C]19[/C][C]14.9326[/C][C]4.06741[/C][/ROW]
[ROW][C]159[/C][C]13[/C][C]15.7284[/C][C]-2.72841[/C][/ROW]
[ROW][C]160[/C][C]12[/C][C]11.9025[/C][C]0.0974567[/C][/ROW]
[ROW][C]161[/C][C]13[/C][C]12.5756[/C][C]0.424373[/C][/ROW]
[ROW][C]162[/C][C]10[/C][C]9.24868[/C][C]0.751323[/C][/ROW]
[ROW][C]163[/C][C]14[/C][C]13.1838[/C][C]0.816184[/C][/ROW]
[ROW][C]164[/C][C]16[/C][C]11.6834[/C][C]4.3166[/C][/ROW]
[ROW][C]165[/C][C]10[/C][C]12.0045[/C][C]-2.00453[/C][/ROW]
[ROW][C]166[/C][C]11[/C][C]8.96601[/C][C]2.03399[/C][/ROW]
[ROW][C]167[/C][C]14[/C][C]14.2093[/C][C]-0.209337[/C][/ROW]
[ROW][C]168[/C][C]12[/C][C]12.8443[/C][C]-0.84425[/C][/ROW]
[ROW][C]169[/C][C]9[/C][C]12.7559[/C][C]-3.75595[/C][/ROW]
[ROW][C]170[/C][C]9[/C][C]11.9488[/C][C]-2.94884[/C][/ROW]
[ROW][C]171[/C][C]11[/C][C]10.5574[/C][C]0.44259[/C][/ROW]
[ROW][C]172[/C][C]16[/C][C]14.4035[/C][C]1.59654[/C][/ROW]
[ROW][C]173[/C][C]9[/C][C]14.1248[/C][C]-5.12484[/C][/ROW]
[ROW][C]174[/C][C]13[/C][C]11.2264[/C][C]1.7736[/C][/ROW]
[ROW][C]175[/C][C]16[/C][C]13.4808[/C][C]2.51917[/C][/ROW]
[ROW][C]176[/C][C]13[/C][C]15.3997[/C][C]-2.39967[/C][/ROW]
[ROW][C]177[/C][C]9[/C][C]12.3863[/C][C]-3.38633[/C][/ROW]
[ROW][C]178[/C][C]12[/C][C]11.4581[/C][C]0.541935[/C][/ROW]
[ROW][C]179[/C][C]16[/C][C]14.7123[/C][C]1.28767[/C][/ROW]
[ROW][C]180[/C][C]11[/C][C]13.2023[/C][C]-2.20229[/C][/ROW]
[ROW][C]181[/C][C]14[/C][C]14.3692[/C][C]-0.369229[/C][/ROW]
[ROW][C]182[/C][C]13[/C][C]14.82[/C][C]-1.81997[/C][/ROW]
[ROW][C]183[/C][C]15[/C][C]15.013[/C][C]-0.0130424[/C][/ROW]
[ROW][C]184[/C][C]14[/C][C]15.1772[/C][C]-1.1772[/C][/ROW]
[ROW][C]185[/C][C]16[/C][C]14[/C][C]1.99996[/C][/ROW]
[ROW][C]186[/C][C]13[/C][C]11.7217[/C][C]1.27828[/C][/ROW]
[ROW][C]187[/C][C]14[/C][C]13.7248[/C][C]0.275158[/C][/ROW]
[ROW][C]188[/C][C]15[/C][C]14.2685[/C][C]0.731459[/C][/ROW]
[ROW][C]189[/C][C]13[/C][C]12.4432[/C][C]0.556846[/C][/ROW]
[ROW][C]190[/C][C]11[/C][C]10.2209[/C][C]0.779065[/C][/ROW]
[ROW][C]191[/C][C]11[/C][C]12.6622[/C][C]-1.6622[/C][/ROW]
[ROW][C]192[/C][C]14[/C][C]15.2353[/C][C]-1.23533[/C][/ROW]
[ROW][C]193[/C][C]15[/C][C]12.7171[/C][C]2.28294[/C][/ROW]
[ROW][C]194[/C][C]11[/C][C]12.7422[/C][C]-1.74217[/C][/ROW]
[ROW][C]195[/C][C]15[/C][C]13.2197[/C][C]1.78032[/C][/ROW]
[ROW][C]196[/C][C]12[/C][C]14.2998[/C][C]-2.2998[/C][/ROW]
[ROW][C]197[/C][C]14[/C][C]11.8412[/C][C]2.1588[/C][/ROW]
[ROW][C]198[/C][C]14[/C][C]13.5616[/C][C]0.438357[/C][/ROW]
[ROW][C]199[/C][C]8[/C][C]11.2262[/C][C]-3.22617[/C][/ROW]
[ROW][C]200[/C][C]13[/C][C]13.8798[/C][C]-0.879806[/C][/ROW]
[ROW][C]201[/C][C]9[/C][C]12.3457[/C][C]-3.34567[/C][/ROW]
[ROW][C]202[/C][C]15[/C][C]13.8438[/C][C]1.15618[/C][/ROW]
[ROW][C]203[/C][C]17[/C][C]14.118[/C][C]2.88198[/C][/ROW]
[ROW][C]204[/C][C]13[/C][C]12.7669[/C][C]0.233093[/C][/ROW]
[ROW][C]205[/C][C]15[/C][C]14.6023[/C][C]0.397669[/C][/ROW]
[ROW][C]206[/C][C]15[/C][C]13.9224[/C][C]1.07762[/C][/ROW]
[ROW][C]207[/C][C]14[/C][C]14.7672[/C][C]-0.767158[/C][/ROW]
[ROW][C]208[/C][C]16[/C][C]12.7792[/C][C]3.22077[/C][/ROW]
[ROW][C]209[/C][C]13[/C][C]13.041[/C][C]-0.0410048[/C][/ROW]
[ROW][C]210[/C][C]16[/C][C]14.4721[/C][C]1.52785[/C][/ROW]
[ROW][C]211[/C][C]9[/C][C]11.8375[/C][C]-2.83748[/C][/ROW]
[ROW][C]212[/C][C]16[/C][C]14.7738[/C][C]1.22616[/C][/ROW]
[ROW][C]213[/C][C]11[/C][C]12.3543[/C][C]-1.35428[/C][/ROW]
[ROW][C]214[/C][C]10[/C][C]13.9884[/C][C]-3.98837[/C][/ROW]
[ROW][C]215[/C][C]11[/C][C]12.3438[/C][C]-1.3438[/C][/ROW]
[ROW][C]216[/C][C]15[/C][C]13.4658[/C][C]1.53418[/C][/ROW]
[ROW][C]217[/C][C]17[/C][C]15.1355[/C][C]1.86452[/C][/ROW]
[ROW][C]218[/C][C]14[/C][C]14.4778[/C][C]-0.477834[/C][/ROW]
[ROW][C]219[/C][C]8[/C][C]10.0118[/C][C]-2.01181[/C][/ROW]
[ROW][C]220[/C][C]15[/C][C]13.8262[/C][C]1.17376[/C][/ROW]
[ROW][C]221[/C][C]11[/C][C]14.088[/C][C]-3.08799[/C][/ROW]
[ROW][C]222[/C][C]16[/C][C]13.779[/C][C]2.22103[/C][/ROW]
[ROW][C]223[/C][C]10[/C][C]12.3106[/C][C]-2.3106[/C][/ROW]
[ROW][C]224[/C][C]15[/C][C]14.9912[/C][C]0.00878247[/C][/ROW]
[ROW][C]225[/C][C]9[/C][C]9.57097[/C][C]-0.570968[/C][/ROW]
[ROW][C]226[/C][C]16[/C][C]14.3253[/C][C]1.6747[/C][/ROW]
[ROW][C]227[/C][C]19[/C][C]14.0524[/C][C]4.94762[/C][/ROW]
[ROW][C]228[/C][C]12[/C][C]13.8123[/C][C]-1.81225[/C][/ROW]
[ROW][C]229[/C][C]8[/C][C]9.54164[/C][C]-1.54164[/C][/ROW]
[ROW][C]230[/C][C]11[/C][C]13.5085[/C][C]-2.5085[/C][/ROW]
[ROW][C]231[/C][C]14[/C][C]13.9775[/C][C]0.0224551[/C][/ROW]
[ROW][C]232[/C][C]9[/C][C]12.1638[/C][C]-3.16378[/C][/ROW]
[ROW][C]233[/C][C]15[/C][C]15.2008[/C][C]-0.200753[/C][/ROW]
[ROW][C]234[/C][C]13[/C][C]12.8005[/C][C]0.199494[/C][/ROW]
[ROW][C]235[/C][C]16[/C][C]15.1358[/C][C]0.86417[/C][/ROW]
[ROW][C]236[/C][C]11[/C][C]12.995[/C][C]-1.995[/C][/ROW]
[ROW][C]237[/C][C]12[/C][C]11.3183[/C][C]0.681697[/C][/ROW]
[ROW][C]238[/C][C]13[/C][C]13.1556[/C][C]-0.155558[/C][/ROW]
[ROW][C]239[/C][C]10[/C][C]14.6056[/C][C]-4.6056[/C][/ROW]
[ROW][C]240[/C][C]11[/C][C]13.701[/C][C]-2.70096[/C][/ROW]
[ROW][C]241[/C][C]12[/C][C]14.9066[/C][C]-2.90658[/C][/ROW]
[ROW][C]242[/C][C]8[/C][C]10.8942[/C][C]-2.89423[/C][/ROW]
[ROW][C]243[/C][C]12[/C][C]11.7575[/C][C]0.242513[/C][/ROW]
[ROW][C]244[/C][C]12[/C][C]12.3979[/C][C]-0.397899[/C][/ROW]
[ROW][C]245[/C][C]15[/C][C]13.7983[/C][C]1.20168[/C][/ROW]
[ROW][C]246[/C][C]11[/C][C]10.7725[/C][C]0.227476[/C][/ROW]
[ROW][C]247[/C][C]13[/C][C]12.9403[/C][C]0.0596899[/C][/ROW]
[ROW][C]248[/C][C]14[/C][C]8.96357[/C][C]5.03643[/C][/ROW]
[ROW][C]249[/C][C]10[/C][C]10.2628[/C][C]-0.262794[/C][/ROW]
[ROW][C]250[/C][C]12[/C][C]11.609[/C][C]0.390962[/C][/ROW]
[ROW][C]251[/C][C]15[/C][C]12.957[/C][C]2.04297[/C][/ROW]
[ROW][C]252[/C][C]13[/C][C]11.8963[/C][C]1.10368[/C][/ROW]
[ROW][C]253[/C][C]13[/C][C]14.3341[/C][C]-1.33406[/C][/ROW]
[ROW][C]254[/C][C]13[/C][C]13.9837[/C][C]-0.983725[/C][/ROW]
[ROW][C]255[/C][C]12[/C][C]12.0197[/C][C]-0.01969[/C][/ROW]
[ROW][C]256[/C][C]12[/C][C]12.9248[/C][C]-0.924786[/C][/ROW]
[ROW][C]257[/C][C]9[/C][C]10.9816[/C][C]-1.9816[/C][/ROW]
[ROW][C]258[/C][C]9[/C][C]11.6531[/C][C]-2.65315[/C][/ROW]
[ROW][C]259[/C][C]15[/C][C]12.8083[/C][C]2.19172[/C][/ROW]
[ROW][C]260[/C][C]10[/C][C]14.8149[/C][C]-4.81488[/C][/ROW]
[ROW][C]261[/C][C]14[/C][C]13.9039[/C][C]0.0960751[/C][/ROW]
[ROW][C]262[/C][C]15[/C][C]13.7173[/C][C]1.28271[/C][/ROW]
[ROW][C]263[/C][C]7[/C][C]9.93743[/C][C]-2.93743[/C][/ROW]
[ROW][C]264[/C][C]14[/C][C]14.0323[/C][C]-0.0322842[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226155&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226155&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
11413.70270.297272
21815.02962.97043
31113.7779-2.77789
41214.1183-2.11835
51610.81885.18117
61814.10093.89915
71410.63463.36536
81414.7998-0.799808
91514.95160.0483504
101514.060.939952
111715.3141.68598
121915.48343.51664
131013.19-3.19
141613.30062.69936
151815.54412.45588
161413.14370.856269
171413.54320.456818
181715.63411.36588
191415.3121-1.31207
201613.61862.38145
211815.14742.85257
221113.4963-2.49632
231414.3827-0.382725
241213.4015-1.40151
251715.18131.81865
26915.7875-6.78752
271614.77621.22379
281413.08330.916716
291513.63371.36627
301113.714-2.71397
311615.48150.518545
321312.27630.72371
331714.8672.13299
341515.0929-0.0929388
351413.66380.336186
361615.17320.826822
37910.3297-1.32968
381514.10390.896123
391715.10181.89825
401315.0495-2.04946
411515.5534-0.553351
421613.37422.62581
431615.92080.0791677
441212.9146-0.91456
451514.43240.567586
461113.3214-2.32145
471515.2778-0.277775
481514.6780.322013
491713.2483.75205
501314.5754-1.57539
511615.10430.895702
521413.17680.823231
531111.3498-0.349804
541213.6104-1.61037
551213.6706-1.67063
561513.37071.62935
571614.07241.92763
581515.3334-0.333433
591215.0369-3.03692
601213.2014-1.20138
61810.3585-2.35847
621314.4574-1.45744
631114.4992-3.49919
641412.87641.12356
651513.53691.4631
661015.0567-5.05665
671112.6141-1.61407
681214.3888-2.3888
691513.42641.57356
701513.56311.4369
711413.35620.643803
721612.59343.40661
731514.39490.605139
741515.3152-0.315221
751314.8887-1.88871
761212.0408-0.0408339
771713.9923.00798
781312.41410.585899
791513.63251.3675
801315.0473-2.04731
811514.83080.169244
821515.5442-0.544221
831614.24321.75677
841514.21570.784258
851414.051-0.0509639
861513.91141.08862
871414.2634-0.263429
881312.72680.273188
89710.3912-3.39118
901713.57743.42264
911312.90830.0917245
921514.13750.862527
931413.18260.817375
941313.844-0.843988
951614.95421.04579
961212.8309-0.830891
971414.8207-0.82072
981714.92652.07352
991514.96390.0361371
1001715.2131.78703
1011212.9231-0.923132
1021615.12750.872505
1031114.4421-3.44215
1041513.00351.99654
105911.3134-2.31342
1061615.00410.995938
1071512.94282.0572
1081012.8538-2.85383
109109.056120.943883
1101513.83211.1679
1111113.1636-2.16358
1121315.2804-2.28045
1131411.76942.23057
1141814.05043.9496
1151615.66590.334096
1161413.0030.99702
1171413.7990.200983
1181415.0748-1.07485
1191413.68680.313158
1201212.4955-0.495482
1211413.5530.44701
1221514.8570.142955
1231516.0282-1.02821
1241514.63280.367227
1251314.7792-1.77918
1261716.20690.793066
1271715.4161.58405
1281914.93264.06741
1291513.52571.47428
1301314.6461-1.64613
131910.4098-1.40981
1321515.324-0.323999
1331512.48762.51242
1341514.26430.735674
1351613.71962.28043
136119.269371.73063
1371413.38440.615623
1381111.8907-0.890749
1391514.15770.842311
1401313.6767-0.676661
1411514.70460.295398
1421613.73812.26188
1431414.7227-0.722726
1441514.28970.710299
1451614.51611.48395
1461614.57461.42541
1471113.4413-2.4413
1481214.7411-2.74112
149911.4328-2.43283
1501614.12241.87757
1511312.59260.407438
1521615.45980.540177
1531214.4538-2.45384
154911.5083-2.50825
1551311.60411.39587
1561312.90830.0917245
1571413.25330.746701
1581914.93264.06741
1591315.7284-2.72841
1601211.90250.0974567
1611312.57560.424373
162109.248680.751323
1631413.18380.816184
1641611.68344.3166
1651012.0045-2.00453
166118.966012.03399
1671414.2093-0.209337
1681212.8443-0.84425
169912.7559-3.75595
170911.9488-2.94884
1711110.55740.44259
1721614.40351.59654
173914.1248-5.12484
1741311.22641.7736
1751613.48082.51917
1761315.3997-2.39967
177912.3863-3.38633
1781211.45810.541935
1791614.71231.28767
1801113.2023-2.20229
1811414.3692-0.369229
1821314.82-1.81997
1831515.013-0.0130424
1841415.1772-1.1772
18516141.99996
1861311.72171.27828
1871413.72480.275158
1881514.26850.731459
1891312.44320.556846
1901110.22090.779065
1911112.6622-1.6622
1921415.2353-1.23533
1931512.71712.28294
1941112.7422-1.74217
1951513.21971.78032
1961214.2998-2.2998
1971411.84122.1588
1981413.56160.438357
199811.2262-3.22617
2001313.8798-0.879806
201912.3457-3.34567
2021513.84381.15618
2031714.1182.88198
2041312.76690.233093
2051514.60230.397669
2061513.92241.07762
2071414.7672-0.767158
2081612.77923.22077
2091313.041-0.0410048
2101614.47211.52785
211911.8375-2.83748
2121614.77381.22616
2131112.3543-1.35428
2141013.9884-3.98837
2151112.3438-1.3438
2161513.46581.53418
2171715.13551.86452
2181414.4778-0.477834
219810.0118-2.01181
2201513.82621.17376
2211114.088-3.08799
2221613.7792.22103
2231012.3106-2.3106
2241514.99120.00878247
22599.57097-0.570968
2261614.32531.6747
2271914.05244.94762
2281213.8123-1.81225
22989.54164-1.54164
2301113.5085-2.5085
2311413.97750.0224551
232912.1638-3.16378
2331515.2008-0.200753
2341312.80050.199494
2351615.13580.86417
2361112.995-1.995
2371211.31830.681697
2381313.1556-0.155558
2391014.6056-4.6056
2401113.701-2.70096
2411214.9066-2.90658
242810.8942-2.89423
2431211.75750.242513
2441212.3979-0.397899
2451513.79831.20168
2461110.77250.227476
2471312.94030.0596899
248148.963575.03643
2491010.2628-0.262794
2501211.6090.390962
2511512.9572.04297
2521311.89631.10368
2531314.3341-1.33406
2541313.9837-0.983725
2551212.0197-0.01969
2561212.9248-0.924786
257910.9816-1.9816
258911.6531-2.65315
2591512.80832.19172
2601014.8149-4.81488
2611413.90390.0960751
2621513.71731.28271
26379.93743-2.93743
2641414.0323-0.0322842






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.02376390.04752770.976236
120.7080320.5839370.291968
130.9635120.07297620.0364881
140.9378690.1242630.0621313
150.9413670.1172660.0586332
160.9103880.1792250.0896125
170.9472940.1054120.0527058
180.9201540.1596910.0798457
190.8845910.2308190.115409
200.8818690.2362620.118131
210.9125370.1749270.0874633
220.9102160.1795690.0897844
230.9112360.1775270.0887636
240.8820260.2359470.117974
250.8586870.2826250.141313
260.998870.002259470.00112974
270.9982220.003555790.0017779
280.99720.005600630.00280031
290.9957490.008502320.00425116
300.9970730.005853830.00292692
310.9955890.008821780.00441089
320.9936890.0126230.0063115
330.9924190.01516190.00758097
340.9890870.02182590.010913
350.9865860.02682750.0134137
360.9814970.03700550.0185027
370.9873630.02527340.0126367
380.9826660.03466740.0173337
390.9802170.03956580.0197829
400.9805520.03889540.0194477
410.9745830.05083420.0254171
420.9721590.05568140.0278407
430.9634650.07306920.0365346
440.9570870.08582610.0429131
450.9450350.1099290.0549647
460.95440.09120090.0456004
470.9420330.1159340.057967
480.9270450.145910.072955
490.9383990.1232030.0616013
500.9344690.1310620.0655311
510.920280.159440.0797199
520.9026590.1946810.0973407
530.8886250.222750.111375
540.8715880.2568250.128412
550.8642660.2714690.135734
560.8457510.3084990.154249
570.832290.3354190.16771
580.8033560.3932890.196644
590.8458470.3083060.154153
600.8414210.3171570.158579
610.859850.28030.14015
620.8586830.2826330.141317
630.9096450.1807110.0903554
640.896840.206320.10316
650.8865060.2269880.113494
660.959020.08195910.0409795
670.9574920.08501610.042508
680.9627470.07450610.037253
690.9577310.08453760.0422688
700.9514010.09719890.0485994
710.9409280.1181440.0590719
720.954230.09154030.0457701
730.9441850.111630.0558148
740.9330720.1338570.0669285
750.9281350.1437310.0718653
760.9144230.1711540.0855772
770.9264440.1471110.0735555
780.9125920.1748160.0874078
790.9037940.1924120.096206
800.8968520.2062960.103148
810.8784250.2431510.121575
820.858790.282420.14121
830.851020.297960.14898
840.8303490.3393030.169651
850.8048460.3903070.195154
860.7811720.4376560.218828
870.7524250.495150.247575
880.7215570.5568860.278443
890.795270.4094590.20473
900.8293270.3413450.170673
910.8047680.3904640.195232
920.7811730.4376530.218827
930.7575010.4849970.242499
940.7324820.5350360.267518
950.7059360.5881290.294064
960.6801760.6396490.319824
970.6523250.695350.347675
980.6508490.6983010.349151
990.6168330.7663350.383167
1000.6069490.7861020.393051
1010.5824510.8350980.417549
1020.5528460.8943090.447154
1030.6011350.797730.398865
1040.5899770.8200460.410023
1050.605270.789460.39473
1060.5778370.8443250.422163
1070.5701490.8597030.429851
1080.610510.7789810.38949
1090.5829090.8341810.417091
1100.5573260.8853470.442674
1110.5622760.8754480.437724
1120.5909660.8180690.409034
1130.5886920.8226160.411308
1140.6778240.6443510.322176
1150.6467550.7064890.353245
1160.6221720.7556550.377828
1170.5891820.8216360.410818
1180.5653150.8693710.434685
1190.5312640.9374720.468736
1200.5001020.9997960.499898
1210.4695040.9390070.530496
1220.4388810.8777620.561119
1230.4122990.8245980.587701
1240.379910.7598210.62009
1250.3686920.7373840.631308
1260.3397040.6794080.660296
1270.3270230.6540460.672977
1280.4299740.8599480.570026
1290.4133450.8266910.586655
1300.402180.8043610.59782
1310.3866450.7732890.613355
1320.3593150.7186290.640685
1330.380090.7601810.61991
1340.3532290.7064570.646771
1350.3648880.7297760.635112
1360.3543940.7087890.645606
1370.3252990.6505970.674701
1380.3012690.6025390.698731
1390.2758020.5516030.724198
1400.2525560.5051110.747444
1410.2255960.4511930.774404
1420.2313560.4627130.768644
1430.2067720.4135440.793228
1440.1861370.3722750.813863
1450.1743180.3486360.825682
1460.1665820.3331640.833418
1470.1750260.3500530.824974
1480.1912850.382570.808715
1490.2076550.4153090.792345
1500.2085830.4171660.791417
1510.1881790.3763580.811821
1520.1691640.3383280.830836
1530.182890.3657810.81711
1540.1981510.3963010.801849
1550.1840270.3680540.815973
1560.1612060.3224120.838794
1570.1436490.2872990.856351
1580.2254860.4509710.774514
1590.2434830.4869660.756517
1600.2229370.4458740.777063
1610.2000010.4000020.799999
1620.1768750.3537490.823125
1630.1564520.3129040.843548
1640.262430.524860.73757
1650.2589810.5179610.741019
1660.2550420.5100850.744958
1670.2267770.4535550.773223
1680.2047670.4095340.795233
1690.2614990.5229970.738501
1700.2863570.5727140.713643
1710.2587920.5175840.741208
1720.2538220.5076440.746178
1730.4188970.8377940.581103
1740.4049380.8098760.595062
1750.4274320.8548640.572568
1760.4366320.8732630.563368
1770.4946640.9893270.505336
1780.4610640.9221280.538936
1790.4383910.8767810.561609
1800.4378380.8756760.562162
1810.4005410.8010810.599459
1820.3935010.7870020.606499
1830.3564620.7129250.643538
1840.3297880.6595760.670212
1850.3449770.6899530.655023
1860.3375440.6750880.662456
1870.3034830.6069650.696517
1880.2765390.5530780.723461
1890.2458080.4916170.754192
1900.2232750.4465510.776725
1910.2271320.4542640.772868
1920.2090270.4180550.790973
1930.2269390.4538780.773061
1940.2150450.4300910.784955
1950.2144760.4289530.785524
1960.2258490.4516990.774151
1970.272970.5459410.72703
1980.2547460.5094920.745254
1990.2882650.5765290.711735
2000.2553840.5107680.744616
2010.2929840.5859680.707016
2020.2713840.5427680.728616
2030.3331420.6662840.666858
2040.2971820.5943650.702818
2050.2630040.5260070.736996
2060.2415650.483130.758435
2070.2101930.4203850.789807
2080.2297280.4594560.770272
2090.1978220.3956440.802178
2100.2145420.4290840.785458
2110.2425620.4851240.757438
2120.2267580.4535170.773242
2130.1993290.3986580.800671
2140.2489150.497830.751085
2150.2214950.4429910.778505
2160.2081720.4163430.791828
2170.2411970.4823930.758803
2180.2105090.4210180.789491
2190.1964940.3929890.803506
2200.2040390.4080770.795961
2210.2122160.4244320.787784
2220.2133140.4266280.786686
2230.1972150.3944310.802785
2240.1651670.3303340.834833
2250.1495250.2990490.850475
2260.1784140.3568290.821586
2270.3705850.7411690.629415
2280.347180.6943590.65282
2290.3201210.6402420.679879
2300.3049180.6098350.695082
2310.2622560.5245120.737744
2320.3016340.6032680.698366
2330.2569110.5138210.743089
2340.2151010.4302010.784899
2350.214320.428640.78568
2360.1900260.3800530.809974
2370.159140.3182790.84086
2380.1240050.248010.875995
2390.2410430.4820870.758957
2400.2364720.4729430.763528
2410.2043480.4086970.795652
2420.4040870.8081750.595913
2430.3599310.7198610.640069
2440.300040.6000810.69996
2450.4298420.8596830.570158
2460.3450920.6901850.654908
2470.267970.535940.73203
2480.4118680.8237360.588132
2490.3188830.6377660.681117
2500.2306010.4612030.769399
2510.3562280.7124560.643772
2520.8726880.2546250.127312
2530.7503210.4993580.249679

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
11 & 0.0237639 & 0.0475277 & 0.976236 \tabularnewline
12 & 0.708032 & 0.583937 & 0.291968 \tabularnewline
13 & 0.963512 & 0.0729762 & 0.0364881 \tabularnewline
14 & 0.937869 & 0.124263 & 0.0621313 \tabularnewline
15 & 0.941367 & 0.117266 & 0.0586332 \tabularnewline
16 & 0.910388 & 0.179225 & 0.0896125 \tabularnewline
17 & 0.947294 & 0.105412 & 0.0527058 \tabularnewline
18 & 0.920154 & 0.159691 & 0.0798457 \tabularnewline
19 & 0.884591 & 0.230819 & 0.115409 \tabularnewline
20 & 0.881869 & 0.236262 & 0.118131 \tabularnewline
21 & 0.912537 & 0.174927 & 0.0874633 \tabularnewline
22 & 0.910216 & 0.179569 & 0.0897844 \tabularnewline
23 & 0.911236 & 0.177527 & 0.0887636 \tabularnewline
24 & 0.882026 & 0.235947 & 0.117974 \tabularnewline
25 & 0.858687 & 0.282625 & 0.141313 \tabularnewline
26 & 0.99887 & 0.00225947 & 0.00112974 \tabularnewline
27 & 0.998222 & 0.00355579 & 0.0017779 \tabularnewline
28 & 0.9972 & 0.00560063 & 0.00280031 \tabularnewline
29 & 0.995749 & 0.00850232 & 0.00425116 \tabularnewline
30 & 0.997073 & 0.00585383 & 0.00292692 \tabularnewline
31 & 0.995589 & 0.00882178 & 0.00441089 \tabularnewline
32 & 0.993689 & 0.012623 & 0.0063115 \tabularnewline
33 & 0.992419 & 0.0151619 & 0.00758097 \tabularnewline
34 & 0.989087 & 0.0218259 & 0.010913 \tabularnewline
35 & 0.986586 & 0.0268275 & 0.0134137 \tabularnewline
36 & 0.981497 & 0.0370055 & 0.0185027 \tabularnewline
37 & 0.987363 & 0.0252734 & 0.0126367 \tabularnewline
38 & 0.982666 & 0.0346674 & 0.0173337 \tabularnewline
39 & 0.980217 & 0.0395658 & 0.0197829 \tabularnewline
40 & 0.980552 & 0.0388954 & 0.0194477 \tabularnewline
41 & 0.974583 & 0.0508342 & 0.0254171 \tabularnewline
42 & 0.972159 & 0.0556814 & 0.0278407 \tabularnewline
43 & 0.963465 & 0.0730692 & 0.0365346 \tabularnewline
44 & 0.957087 & 0.0858261 & 0.0429131 \tabularnewline
45 & 0.945035 & 0.109929 & 0.0549647 \tabularnewline
46 & 0.9544 & 0.0912009 & 0.0456004 \tabularnewline
47 & 0.942033 & 0.115934 & 0.057967 \tabularnewline
48 & 0.927045 & 0.14591 & 0.072955 \tabularnewline
49 & 0.938399 & 0.123203 & 0.0616013 \tabularnewline
50 & 0.934469 & 0.131062 & 0.0655311 \tabularnewline
51 & 0.92028 & 0.15944 & 0.0797199 \tabularnewline
52 & 0.902659 & 0.194681 & 0.0973407 \tabularnewline
53 & 0.888625 & 0.22275 & 0.111375 \tabularnewline
54 & 0.871588 & 0.256825 & 0.128412 \tabularnewline
55 & 0.864266 & 0.271469 & 0.135734 \tabularnewline
56 & 0.845751 & 0.308499 & 0.154249 \tabularnewline
57 & 0.83229 & 0.335419 & 0.16771 \tabularnewline
58 & 0.803356 & 0.393289 & 0.196644 \tabularnewline
59 & 0.845847 & 0.308306 & 0.154153 \tabularnewline
60 & 0.841421 & 0.317157 & 0.158579 \tabularnewline
61 & 0.85985 & 0.2803 & 0.14015 \tabularnewline
62 & 0.858683 & 0.282633 & 0.141317 \tabularnewline
63 & 0.909645 & 0.180711 & 0.0903554 \tabularnewline
64 & 0.89684 & 0.20632 & 0.10316 \tabularnewline
65 & 0.886506 & 0.226988 & 0.113494 \tabularnewline
66 & 0.95902 & 0.0819591 & 0.0409795 \tabularnewline
67 & 0.957492 & 0.0850161 & 0.042508 \tabularnewline
68 & 0.962747 & 0.0745061 & 0.037253 \tabularnewline
69 & 0.957731 & 0.0845376 & 0.0422688 \tabularnewline
70 & 0.951401 & 0.0971989 & 0.0485994 \tabularnewline
71 & 0.940928 & 0.118144 & 0.0590719 \tabularnewline
72 & 0.95423 & 0.0915403 & 0.0457701 \tabularnewline
73 & 0.944185 & 0.11163 & 0.0558148 \tabularnewline
74 & 0.933072 & 0.133857 & 0.0669285 \tabularnewline
75 & 0.928135 & 0.143731 & 0.0718653 \tabularnewline
76 & 0.914423 & 0.171154 & 0.0855772 \tabularnewline
77 & 0.926444 & 0.147111 & 0.0735555 \tabularnewline
78 & 0.912592 & 0.174816 & 0.0874078 \tabularnewline
79 & 0.903794 & 0.192412 & 0.096206 \tabularnewline
80 & 0.896852 & 0.206296 & 0.103148 \tabularnewline
81 & 0.878425 & 0.243151 & 0.121575 \tabularnewline
82 & 0.85879 & 0.28242 & 0.14121 \tabularnewline
83 & 0.85102 & 0.29796 & 0.14898 \tabularnewline
84 & 0.830349 & 0.339303 & 0.169651 \tabularnewline
85 & 0.804846 & 0.390307 & 0.195154 \tabularnewline
86 & 0.781172 & 0.437656 & 0.218828 \tabularnewline
87 & 0.752425 & 0.49515 & 0.247575 \tabularnewline
88 & 0.721557 & 0.556886 & 0.278443 \tabularnewline
89 & 0.79527 & 0.409459 & 0.20473 \tabularnewline
90 & 0.829327 & 0.341345 & 0.170673 \tabularnewline
91 & 0.804768 & 0.390464 & 0.195232 \tabularnewline
92 & 0.781173 & 0.437653 & 0.218827 \tabularnewline
93 & 0.757501 & 0.484997 & 0.242499 \tabularnewline
94 & 0.732482 & 0.535036 & 0.267518 \tabularnewline
95 & 0.705936 & 0.588129 & 0.294064 \tabularnewline
96 & 0.680176 & 0.639649 & 0.319824 \tabularnewline
97 & 0.652325 & 0.69535 & 0.347675 \tabularnewline
98 & 0.650849 & 0.698301 & 0.349151 \tabularnewline
99 & 0.616833 & 0.766335 & 0.383167 \tabularnewline
100 & 0.606949 & 0.786102 & 0.393051 \tabularnewline
101 & 0.582451 & 0.835098 & 0.417549 \tabularnewline
102 & 0.552846 & 0.894309 & 0.447154 \tabularnewline
103 & 0.601135 & 0.79773 & 0.398865 \tabularnewline
104 & 0.589977 & 0.820046 & 0.410023 \tabularnewline
105 & 0.60527 & 0.78946 & 0.39473 \tabularnewline
106 & 0.577837 & 0.844325 & 0.422163 \tabularnewline
107 & 0.570149 & 0.859703 & 0.429851 \tabularnewline
108 & 0.61051 & 0.778981 & 0.38949 \tabularnewline
109 & 0.582909 & 0.834181 & 0.417091 \tabularnewline
110 & 0.557326 & 0.885347 & 0.442674 \tabularnewline
111 & 0.562276 & 0.875448 & 0.437724 \tabularnewline
112 & 0.590966 & 0.818069 & 0.409034 \tabularnewline
113 & 0.588692 & 0.822616 & 0.411308 \tabularnewline
114 & 0.677824 & 0.644351 & 0.322176 \tabularnewline
115 & 0.646755 & 0.706489 & 0.353245 \tabularnewline
116 & 0.622172 & 0.755655 & 0.377828 \tabularnewline
117 & 0.589182 & 0.821636 & 0.410818 \tabularnewline
118 & 0.565315 & 0.869371 & 0.434685 \tabularnewline
119 & 0.531264 & 0.937472 & 0.468736 \tabularnewline
120 & 0.500102 & 0.999796 & 0.499898 \tabularnewline
121 & 0.469504 & 0.939007 & 0.530496 \tabularnewline
122 & 0.438881 & 0.877762 & 0.561119 \tabularnewline
123 & 0.412299 & 0.824598 & 0.587701 \tabularnewline
124 & 0.37991 & 0.759821 & 0.62009 \tabularnewline
125 & 0.368692 & 0.737384 & 0.631308 \tabularnewline
126 & 0.339704 & 0.679408 & 0.660296 \tabularnewline
127 & 0.327023 & 0.654046 & 0.672977 \tabularnewline
128 & 0.429974 & 0.859948 & 0.570026 \tabularnewline
129 & 0.413345 & 0.826691 & 0.586655 \tabularnewline
130 & 0.40218 & 0.804361 & 0.59782 \tabularnewline
131 & 0.386645 & 0.773289 & 0.613355 \tabularnewline
132 & 0.359315 & 0.718629 & 0.640685 \tabularnewline
133 & 0.38009 & 0.760181 & 0.61991 \tabularnewline
134 & 0.353229 & 0.706457 & 0.646771 \tabularnewline
135 & 0.364888 & 0.729776 & 0.635112 \tabularnewline
136 & 0.354394 & 0.708789 & 0.645606 \tabularnewline
137 & 0.325299 & 0.650597 & 0.674701 \tabularnewline
138 & 0.301269 & 0.602539 & 0.698731 \tabularnewline
139 & 0.275802 & 0.551603 & 0.724198 \tabularnewline
140 & 0.252556 & 0.505111 & 0.747444 \tabularnewline
141 & 0.225596 & 0.451193 & 0.774404 \tabularnewline
142 & 0.231356 & 0.462713 & 0.768644 \tabularnewline
143 & 0.206772 & 0.413544 & 0.793228 \tabularnewline
144 & 0.186137 & 0.372275 & 0.813863 \tabularnewline
145 & 0.174318 & 0.348636 & 0.825682 \tabularnewline
146 & 0.166582 & 0.333164 & 0.833418 \tabularnewline
147 & 0.175026 & 0.350053 & 0.824974 \tabularnewline
148 & 0.191285 & 0.38257 & 0.808715 \tabularnewline
149 & 0.207655 & 0.415309 & 0.792345 \tabularnewline
150 & 0.208583 & 0.417166 & 0.791417 \tabularnewline
151 & 0.188179 & 0.376358 & 0.811821 \tabularnewline
152 & 0.169164 & 0.338328 & 0.830836 \tabularnewline
153 & 0.18289 & 0.365781 & 0.81711 \tabularnewline
154 & 0.198151 & 0.396301 & 0.801849 \tabularnewline
155 & 0.184027 & 0.368054 & 0.815973 \tabularnewline
156 & 0.161206 & 0.322412 & 0.838794 \tabularnewline
157 & 0.143649 & 0.287299 & 0.856351 \tabularnewline
158 & 0.225486 & 0.450971 & 0.774514 \tabularnewline
159 & 0.243483 & 0.486966 & 0.756517 \tabularnewline
160 & 0.222937 & 0.445874 & 0.777063 \tabularnewline
161 & 0.200001 & 0.400002 & 0.799999 \tabularnewline
162 & 0.176875 & 0.353749 & 0.823125 \tabularnewline
163 & 0.156452 & 0.312904 & 0.843548 \tabularnewline
164 & 0.26243 & 0.52486 & 0.73757 \tabularnewline
165 & 0.258981 & 0.517961 & 0.741019 \tabularnewline
166 & 0.255042 & 0.510085 & 0.744958 \tabularnewline
167 & 0.226777 & 0.453555 & 0.773223 \tabularnewline
168 & 0.204767 & 0.409534 & 0.795233 \tabularnewline
169 & 0.261499 & 0.522997 & 0.738501 \tabularnewline
170 & 0.286357 & 0.572714 & 0.713643 \tabularnewline
171 & 0.258792 & 0.517584 & 0.741208 \tabularnewline
172 & 0.253822 & 0.507644 & 0.746178 \tabularnewline
173 & 0.418897 & 0.837794 & 0.581103 \tabularnewline
174 & 0.404938 & 0.809876 & 0.595062 \tabularnewline
175 & 0.427432 & 0.854864 & 0.572568 \tabularnewline
176 & 0.436632 & 0.873263 & 0.563368 \tabularnewline
177 & 0.494664 & 0.989327 & 0.505336 \tabularnewline
178 & 0.461064 & 0.922128 & 0.538936 \tabularnewline
179 & 0.438391 & 0.876781 & 0.561609 \tabularnewline
180 & 0.437838 & 0.875676 & 0.562162 \tabularnewline
181 & 0.400541 & 0.801081 & 0.599459 \tabularnewline
182 & 0.393501 & 0.787002 & 0.606499 \tabularnewline
183 & 0.356462 & 0.712925 & 0.643538 \tabularnewline
184 & 0.329788 & 0.659576 & 0.670212 \tabularnewline
185 & 0.344977 & 0.689953 & 0.655023 \tabularnewline
186 & 0.337544 & 0.675088 & 0.662456 \tabularnewline
187 & 0.303483 & 0.606965 & 0.696517 \tabularnewline
188 & 0.276539 & 0.553078 & 0.723461 \tabularnewline
189 & 0.245808 & 0.491617 & 0.754192 \tabularnewline
190 & 0.223275 & 0.446551 & 0.776725 \tabularnewline
191 & 0.227132 & 0.454264 & 0.772868 \tabularnewline
192 & 0.209027 & 0.418055 & 0.790973 \tabularnewline
193 & 0.226939 & 0.453878 & 0.773061 \tabularnewline
194 & 0.215045 & 0.430091 & 0.784955 \tabularnewline
195 & 0.214476 & 0.428953 & 0.785524 \tabularnewline
196 & 0.225849 & 0.451699 & 0.774151 \tabularnewline
197 & 0.27297 & 0.545941 & 0.72703 \tabularnewline
198 & 0.254746 & 0.509492 & 0.745254 \tabularnewline
199 & 0.288265 & 0.576529 & 0.711735 \tabularnewline
200 & 0.255384 & 0.510768 & 0.744616 \tabularnewline
201 & 0.292984 & 0.585968 & 0.707016 \tabularnewline
202 & 0.271384 & 0.542768 & 0.728616 \tabularnewline
203 & 0.333142 & 0.666284 & 0.666858 \tabularnewline
204 & 0.297182 & 0.594365 & 0.702818 \tabularnewline
205 & 0.263004 & 0.526007 & 0.736996 \tabularnewline
206 & 0.241565 & 0.48313 & 0.758435 \tabularnewline
207 & 0.210193 & 0.420385 & 0.789807 \tabularnewline
208 & 0.229728 & 0.459456 & 0.770272 \tabularnewline
209 & 0.197822 & 0.395644 & 0.802178 \tabularnewline
210 & 0.214542 & 0.429084 & 0.785458 \tabularnewline
211 & 0.242562 & 0.485124 & 0.757438 \tabularnewline
212 & 0.226758 & 0.453517 & 0.773242 \tabularnewline
213 & 0.199329 & 0.398658 & 0.800671 \tabularnewline
214 & 0.248915 & 0.49783 & 0.751085 \tabularnewline
215 & 0.221495 & 0.442991 & 0.778505 \tabularnewline
216 & 0.208172 & 0.416343 & 0.791828 \tabularnewline
217 & 0.241197 & 0.482393 & 0.758803 \tabularnewline
218 & 0.210509 & 0.421018 & 0.789491 \tabularnewline
219 & 0.196494 & 0.392989 & 0.803506 \tabularnewline
220 & 0.204039 & 0.408077 & 0.795961 \tabularnewline
221 & 0.212216 & 0.424432 & 0.787784 \tabularnewline
222 & 0.213314 & 0.426628 & 0.786686 \tabularnewline
223 & 0.197215 & 0.394431 & 0.802785 \tabularnewline
224 & 0.165167 & 0.330334 & 0.834833 \tabularnewline
225 & 0.149525 & 0.299049 & 0.850475 \tabularnewline
226 & 0.178414 & 0.356829 & 0.821586 \tabularnewline
227 & 0.370585 & 0.741169 & 0.629415 \tabularnewline
228 & 0.34718 & 0.694359 & 0.65282 \tabularnewline
229 & 0.320121 & 0.640242 & 0.679879 \tabularnewline
230 & 0.304918 & 0.609835 & 0.695082 \tabularnewline
231 & 0.262256 & 0.524512 & 0.737744 \tabularnewline
232 & 0.301634 & 0.603268 & 0.698366 \tabularnewline
233 & 0.256911 & 0.513821 & 0.743089 \tabularnewline
234 & 0.215101 & 0.430201 & 0.784899 \tabularnewline
235 & 0.21432 & 0.42864 & 0.78568 \tabularnewline
236 & 0.190026 & 0.380053 & 0.809974 \tabularnewline
237 & 0.15914 & 0.318279 & 0.84086 \tabularnewline
238 & 0.124005 & 0.24801 & 0.875995 \tabularnewline
239 & 0.241043 & 0.482087 & 0.758957 \tabularnewline
240 & 0.236472 & 0.472943 & 0.763528 \tabularnewline
241 & 0.204348 & 0.408697 & 0.795652 \tabularnewline
242 & 0.404087 & 0.808175 & 0.595913 \tabularnewline
243 & 0.359931 & 0.719861 & 0.640069 \tabularnewline
244 & 0.30004 & 0.600081 & 0.69996 \tabularnewline
245 & 0.429842 & 0.859683 & 0.570158 \tabularnewline
246 & 0.345092 & 0.690185 & 0.654908 \tabularnewline
247 & 0.26797 & 0.53594 & 0.73203 \tabularnewline
248 & 0.411868 & 0.823736 & 0.588132 \tabularnewline
249 & 0.318883 & 0.637766 & 0.681117 \tabularnewline
250 & 0.230601 & 0.461203 & 0.769399 \tabularnewline
251 & 0.356228 & 0.712456 & 0.643772 \tabularnewline
252 & 0.872688 & 0.254625 & 0.127312 \tabularnewline
253 & 0.750321 & 0.499358 & 0.249679 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226155&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]11[/C][C]0.0237639[/C][C]0.0475277[/C][C]0.976236[/C][/ROW]
[ROW][C]12[/C][C]0.708032[/C][C]0.583937[/C][C]0.291968[/C][/ROW]
[ROW][C]13[/C][C]0.963512[/C][C]0.0729762[/C][C]0.0364881[/C][/ROW]
[ROW][C]14[/C][C]0.937869[/C][C]0.124263[/C][C]0.0621313[/C][/ROW]
[ROW][C]15[/C][C]0.941367[/C][C]0.117266[/C][C]0.0586332[/C][/ROW]
[ROW][C]16[/C][C]0.910388[/C][C]0.179225[/C][C]0.0896125[/C][/ROW]
[ROW][C]17[/C][C]0.947294[/C][C]0.105412[/C][C]0.0527058[/C][/ROW]
[ROW][C]18[/C][C]0.920154[/C][C]0.159691[/C][C]0.0798457[/C][/ROW]
[ROW][C]19[/C][C]0.884591[/C][C]0.230819[/C][C]0.115409[/C][/ROW]
[ROW][C]20[/C][C]0.881869[/C][C]0.236262[/C][C]0.118131[/C][/ROW]
[ROW][C]21[/C][C]0.912537[/C][C]0.174927[/C][C]0.0874633[/C][/ROW]
[ROW][C]22[/C][C]0.910216[/C][C]0.179569[/C][C]0.0897844[/C][/ROW]
[ROW][C]23[/C][C]0.911236[/C][C]0.177527[/C][C]0.0887636[/C][/ROW]
[ROW][C]24[/C][C]0.882026[/C][C]0.235947[/C][C]0.117974[/C][/ROW]
[ROW][C]25[/C][C]0.858687[/C][C]0.282625[/C][C]0.141313[/C][/ROW]
[ROW][C]26[/C][C]0.99887[/C][C]0.00225947[/C][C]0.00112974[/C][/ROW]
[ROW][C]27[/C][C]0.998222[/C][C]0.00355579[/C][C]0.0017779[/C][/ROW]
[ROW][C]28[/C][C]0.9972[/C][C]0.00560063[/C][C]0.00280031[/C][/ROW]
[ROW][C]29[/C][C]0.995749[/C][C]0.00850232[/C][C]0.00425116[/C][/ROW]
[ROW][C]30[/C][C]0.997073[/C][C]0.00585383[/C][C]0.00292692[/C][/ROW]
[ROW][C]31[/C][C]0.995589[/C][C]0.00882178[/C][C]0.00441089[/C][/ROW]
[ROW][C]32[/C][C]0.993689[/C][C]0.012623[/C][C]0.0063115[/C][/ROW]
[ROW][C]33[/C][C]0.992419[/C][C]0.0151619[/C][C]0.00758097[/C][/ROW]
[ROW][C]34[/C][C]0.989087[/C][C]0.0218259[/C][C]0.010913[/C][/ROW]
[ROW][C]35[/C][C]0.986586[/C][C]0.0268275[/C][C]0.0134137[/C][/ROW]
[ROW][C]36[/C][C]0.981497[/C][C]0.0370055[/C][C]0.0185027[/C][/ROW]
[ROW][C]37[/C][C]0.987363[/C][C]0.0252734[/C][C]0.0126367[/C][/ROW]
[ROW][C]38[/C][C]0.982666[/C][C]0.0346674[/C][C]0.0173337[/C][/ROW]
[ROW][C]39[/C][C]0.980217[/C][C]0.0395658[/C][C]0.0197829[/C][/ROW]
[ROW][C]40[/C][C]0.980552[/C][C]0.0388954[/C][C]0.0194477[/C][/ROW]
[ROW][C]41[/C][C]0.974583[/C][C]0.0508342[/C][C]0.0254171[/C][/ROW]
[ROW][C]42[/C][C]0.972159[/C][C]0.0556814[/C][C]0.0278407[/C][/ROW]
[ROW][C]43[/C][C]0.963465[/C][C]0.0730692[/C][C]0.0365346[/C][/ROW]
[ROW][C]44[/C][C]0.957087[/C][C]0.0858261[/C][C]0.0429131[/C][/ROW]
[ROW][C]45[/C][C]0.945035[/C][C]0.109929[/C][C]0.0549647[/C][/ROW]
[ROW][C]46[/C][C]0.9544[/C][C]0.0912009[/C][C]0.0456004[/C][/ROW]
[ROW][C]47[/C][C]0.942033[/C][C]0.115934[/C][C]0.057967[/C][/ROW]
[ROW][C]48[/C][C]0.927045[/C][C]0.14591[/C][C]0.072955[/C][/ROW]
[ROW][C]49[/C][C]0.938399[/C][C]0.123203[/C][C]0.0616013[/C][/ROW]
[ROW][C]50[/C][C]0.934469[/C][C]0.131062[/C][C]0.0655311[/C][/ROW]
[ROW][C]51[/C][C]0.92028[/C][C]0.15944[/C][C]0.0797199[/C][/ROW]
[ROW][C]52[/C][C]0.902659[/C][C]0.194681[/C][C]0.0973407[/C][/ROW]
[ROW][C]53[/C][C]0.888625[/C][C]0.22275[/C][C]0.111375[/C][/ROW]
[ROW][C]54[/C][C]0.871588[/C][C]0.256825[/C][C]0.128412[/C][/ROW]
[ROW][C]55[/C][C]0.864266[/C][C]0.271469[/C][C]0.135734[/C][/ROW]
[ROW][C]56[/C][C]0.845751[/C][C]0.308499[/C][C]0.154249[/C][/ROW]
[ROW][C]57[/C][C]0.83229[/C][C]0.335419[/C][C]0.16771[/C][/ROW]
[ROW][C]58[/C][C]0.803356[/C][C]0.393289[/C][C]0.196644[/C][/ROW]
[ROW][C]59[/C][C]0.845847[/C][C]0.308306[/C][C]0.154153[/C][/ROW]
[ROW][C]60[/C][C]0.841421[/C][C]0.317157[/C][C]0.158579[/C][/ROW]
[ROW][C]61[/C][C]0.85985[/C][C]0.2803[/C][C]0.14015[/C][/ROW]
[ROW][C]62[/C][C]0.858683[/C][C]0.282633[/C][C]0.141317[/C][/ROW]
[ROW][C]63[/C][C]0.909645[/C][C]0.180711[/C][C]0.0903554[/C][/ROW]
[ROW][C]64[/C][C]0.89684[/C][C]0.20632[/C][C]0.10316[/C][/ROW]
[ROW][C]65[/C][C]0.886506[/C][C]0.226988[/C][C]0.113494[/C][/ROW]
[ROW][C]66[/C][C]0.95902[/C][C]0.0819591[/C][C]0.0409795[/C][/ROW]
[ROW][C]67[/C][C]0.957492[/C][C]0.0850161[/C][C]0.042508[/C][/ROW]
[ROW][C]68[/C][C]0.962747[/C][C]0.0745061[/C][C]0.037253[/C][/ROW]
[ROW][C]69[/C][C]0.957731[/C][C]0.0845376[/C][C]0.0422688[/C][/ROW]
[ROW][C]70[/C][C]0.951401[/C][C]0.0971989[/C][C]0.0485994[/C][/ROW]
[ROW][C]71[/C][C]0.940928[/C][C]0.118144[/C][C]0.0590719[/C][/ROW]
[ROW][C]72[/C][C]0.95423[/C][C]0.0915403[/C][C]0.0457701[/C][/ROW]
[ROW][C]73[/C][C]0.944185[/C][C]0.11163[/C][C]0.0558148[/C][/ROW]
[ROW][C]74[/C][C]0.933072[/C][C]0.133857[/C][C]0.0669285[/C][/ROW]
[ROW][C]75[/C][C]0.928135[/C][C]0.143731[/C][C]0.0718653[/C][/ROW]
[ROW][C]76[/C][C]0.914423[/C][C]0.171154[/C][C]0.0855772[/C][/ROW]
[ROW][C]77[/C][C]0.926444[/C][C]0.147111[/C][C]0.0735555[/C][/ROW]
[ROW][C]78[/C][C]0.912592[/C][C]0.174816[/C][C]0.0874078[/C][/ROW]
[ROW][C]79[/C][C]0.903794[/C][C]0.192412[/C][C]0.096206[/C][/ROW]
[ROW][C]80[/C][C]0.896852[/C][C]0.206296[/C][C]0.103148[/C][/ROW]
[ROW][C]81[/C][C]0.878425[/C][C]0.243151[/C][C]0.121575[/C][/ROW]
[ROW][C]82[/C][C]0.85879[/C][C]0.28242[/C][C]0.14121[/C][/ROW]
[ROW][C]83[/C][C]0.85102[/C][C]0.29796[/C][C]0.14898[/C][/ROW]
[ROW][C]84[/C][C]0.830349[/C][C]0.339303[/C][C]0.169651[/C][/ROW]
[ROW][C]85[/C][C]0.804846[/C][C]0.390307[/C][C]0.195154[/C][/ROW]
[ROW][C]86[/C][C]0.781172[/C][C]0.437656[/C][C]0.218828[/C][/ROW]
[ROW][C]87[/C][C]0.752425[/C][C]0.49515[/C][C]0.247575[/C][/ROW]
[ROW][C]88[/C][C]0.721557[/C][C]0.556886[/C][C]0.278443[/C][/ROW]
[ROW][C]89[/C][C]0.79527[/C][C]0.409459[/C][C]0.20473[/C][/ROW]
[ROW][C]90[/C][C]0.829327[/C][C]0.341345[/C][C]0.170673[/C][/ROW]
[ROW][C]91[/C][C]0.804768[/C][C]0.390464[/C][C]0.195232[/C][/ROW]
[ROW][C]92[/C][C]0.781173[/C][C]0.437653[/C][C]0.218827[/C][/ROW]
[ROW][C]93[/C][C]0.757501[/C][C]0.484997[/C][C]0.242499[/C][/ROW]
[ROW][C]94[/C][C]0.732482[/C][C]0.535036[/C][C]0.267518[/C][/ROW]
[ROW][C]95[/C][C]0.705936[/C][C]0.588129[/C][C]0.294064[/C][/ROW]
[ROW][C]96[/C][C]0.680176[/C][C]0.639649[/C][C]0.319824[/C][/ROW]
[ROW][C]97[/C][C]0.652325[/C][C]0.69535[/C][C]0.347675[/C][/ROW]
[ROW][C]98[/C][C]0.650849[/C][C]0.698301[/C][C]0.349151[/C][/ROW]
[ROW][C]99[/C][C]0.616833[/C][C]0.766335[/C][C]0.383167[/C][/ROW]
[ROW][C]100[/C][C]0.606949[/C][C]0.786102[/C][C]0.393051[/C][/ROW]
[ROW][C]101[/C][C]0.582451[/C][C]0.835098[/C][C]0.417549[/C][/ROW]
[ROW][C]102[/C][C]0.552846[/C][C]0.894309[/C][C]0.447154[/C][/ROW]
[ROW][C]103[/C][C]0.601135[/C][C]0.79773[/C][C]0.398865[/C][/ROW]
[ROW][C]104[/C][C]0.589977[/C][C]0.820046[/C][C]0.410023[/C][/ROW]
[ROW][C]105[/C][C]0.60527[/C][C]0.78946[/C][C]0.39473[/C][/ROW]
[ROW][C]106[/C][C]0.577837[/C][C]0.844325[/C][C]0.422163[/C][/ROW]
[ROW][C]107[/C][C]0.570149[/C][C]0.859703[/C][C]0.429851[/C][/ROW]
[ROW][C]108[/C][C]0.61051[/C][C]0.778981[/C][C]0.38949[/C][/ROW]
[ROW][C]109[/C][C]0.582909[/C][C]0.834181[/C][C]0.417091[/C][/ROW]
[ROW][C]110[/C][C]0.557326[/C][C]0.885347[/C][C]0.442674[/C][/ROW]
[ROW][C]111[/C][C]0.562276[/C][C]0.875448[/C][C]0.437724[/C][/ROW]
[ROW][C]112[/C][C]0.590966[/C][C]0.818069[/C][C]0.409034[/C][/ROW]
[ROW][C]113[/C][C]0.588692[/C][C]0.822616[/C][C]0.411308[/C][/ROW]
[ROW][C]114[/C][C]0.677824[/C][C]0.644351[/C][C]0.322176[/C][/ROW]
[ROW][C]115[/C][C]0.646755[/C][C]0.706489[/C][C]0.353245[/C][/ROW]
[ROW][C]116[/C][C]0.622172[/C][C]0.755655[/C][C]0.377828[/C][/ROW]
[ROW][C]117[/C][C]0.589182[/C][C]0.821636[/C][C]0.410818[/C][/ROW]
[ROW][C]118[/C][C]0.565315[/C][C]0.869371[/C][C]0.434685[/C][/ROW]
[ROW][C]119[/C][C]0.531264[/C][C]0.937472[/C][C]0.468736[/C][/ROW]
[ROW][C]120[/C][C]0.500102[/C][C]0.999796[/C][C]0.499898[/C][/ROW]
[ROW][C]121[/C][C]0.469504[/C][C]0.939007[/C][C]0.530496[/C][/ROW]
[ROW][C]122[/C][C]0.438881[/C][C]0.877762[/C][C]0.561119[/C][/ROW]
[ROW][C]123[/C][C]0.412299[/C][C]0.824598[/C][C]0.587701[/C][/ROW]
[ROW][C]124[/C][C]0.37991[/C][C]0.759821[/C][C]0.62009[/C][/ROW]
[ROW][C]125[/C][C]0.368692[/C][C]0.737384[/C][C]0.631308[/C][/ROW]
[ROW][C]126[/C][C]0.339704[/C][C]0.679408[/C][C]0.660296[/C][/ROW]
[ROW][C]127[/C][C]0.327023[/C][C]0.654046[/C][C]0.672977[/C][/ROW]
[ROW][C]128[/C][C]0.429974[/C][C]0.859948[/C][C]0.570026[/C][/ROW]
[ROW][C]129[/C][C]0.413345[/C][C]0.826691[/C][C]0.586655[/C][/ROW]
[ROW][C]130[/C][C]0.40218[/C][C]0.804361[/C][C]0.59782[/C][/ROW]
[ROW][C]131[/C][C]0.386645[/C][C]0.773289[/C][C]0.613355[/C][/ROW]
[ROW][C]132[/C][C]0.359315[/C][C]0.718629[/C][C]0.640685[/C][/ROW]
[ROW][C]133[/C][C]0.38009[/C][C]0.760181[/C][C]0.61991[/C][/ROW]
[ROW][C]134[/C][C]0.353229[/C][C]0.706457[/C][C]0.646771[/C][/ROW]
[ROW][C]135[/C][C]0.364888[/C][C]0.729776[/C][C]0.635112[/C][/ROW]
[ROW][C]136[/C][C]0.354394[/C][C]0.708789[/C][C]0.645606[/C][/ROW]
[ROW][C]137[/C][C]0.325299[/C][C]0.650597[/C][C]0.674701[/C][/ROW]
[ROW][C]138[/C][C]0.301269[/C][C]0.602539[/C][C]0.698731[/C][/ROW]
[ROW][C]139[/C][C]0.275802[/C][C]0.551603[/C][C]0.724198[/C][/ROW]
[ROW][C]140[/C][C]0.252556[/C][C]0.505111[/C][C]0.747444[/C][/ROW]
[ROW][C]141[/C][C]0.225596[/C][C]0.451193[/C][C]0.774404[/C][/ROW]
[ROW][C]142[/C][C]0.231356[/C][C]0.462713[/C][C]0.768644[/C][/ROW]
[ROW][C]143[/C][C]0.206772[/C][C]0.413544[/C][C]0.793228[/C][/ROW]
[ROW][C]144[/C][C]0.186137[/C][C]0.372275[/C][C]0.813863[/C][/ROW]
[ROW][C]145[/C][C]0.174318[/C][C]0.348636[/C][C]0.825682[/C][/ROW]
[ROW][C]146[/C][C]0.166582[/C][C]0.333164[/C][C]0.833418[/C][/ROW]
[ROW][C]147[/C][C]0.175026[/C][C]0.350053[/C][C]0.824974[/C][/ROW]
[ROW][C]148[/C][C]0.191285[/C][C]0.38257[/C][C]0.808715[/C][/ROW]
[ROW][C]149[/C][C]0.207655[/C][C]0.415309[/C][C]0.792345[/C][/ROW]
[ROW][C]150[/C][C]0.208583[/C][C]0.417166[/C][C]0.791417[/C][/ROW]
[ROW][C]151[/C][C]0.188179[/C][C]0.376358[/C][C]0.811821[/C][/ROW]
[ROW][C]152[/C][C]0.169164[/C][C]0.338328[/C][C]0.830836[/C][/ROW]
[ROW][C]153[/C][C]0.18289[/C][C]0.365781[/C][C]0.81711[/C][/ROW]
[ROW][C]154[/C][C]0.198151[/C][C]0.396301[/C][C]0.801849[/C][/ROW]
[ROW][C]155[/C][C]0.184027[/C][C]0.368054[/C][C]0.815973[/C][/ROW]
[ROW][C]156[/C][C]0.161206[/C][C]0.322412[/C][C]0.838794[/C][/ROW]
[ROW][C]157[/C][C]0.143649[/C][C]0.287299[/C][C]0.856351[/C][/ROW]
[ROW][C]158[/C][C]0.225486[/C][C]0.450971[/C][C]0.774514[/C][/ROW]
[ROW][C]159[/C][C]0.243483[/C][C]0.486966[/C][C]0.756517[/C][/ROW]
[ROW][C]160[/C][C]0.222937[/C][C]0.445874[/C][C]0.777063[/C][/ROW]
[ROW][C]161[/C][C]0.200001[/C][C]0.400002[/C][C]0.799999[/C][/ROW]
[ROW][C]162[/C][C]0.176875[/C][C]0.353749[/C][C]0.823125[/C][/ROW]
[ROW][C]163[/C][C]0.156452[/C][C]0.312904[/C][C]0.843548[/C][/ROW]
[ROW][C]164[/C][C]0.26243[/C][C]0.52486[/C][C]0.73757[/C][/ROW]
[ROW][C]165[/C][C]0.258981[/C][C]0.517961[/C][C]0.741019[/C][/ROW]
[ROW][C]166[/C][C]0.255042[/C][C]0.510085[/C][C]0.744958[/C][/ROW]
[ROW][C]167[/C][C]0.226777[/C][C]0.453555[/C][C]0.773223[/C][/ROW]
[ROW][C]168[/C][C]0.204767[/C][C]0.409534[/C][C]0.795233[/C][/ROW]
[ROW][C]169[/C][C]0.261499[/C][C]0.522997[/C][C]0.738501[/C][/ROW]
[ROW][C]170[/C][C]0.286357[/C][C]0.572714[/C][C]0.713643[/C][/ROW]
[ROW][C]171[/C][C]0.258792[/C][C]0.517584[/C][C]0.741208[/C][/ROW]
[ROW][C]172[/C][C]0.253822[/C][C]0.507644[/C][C]0.746178[/C][/ROW]
[ROW][C]173[/C][C]0.418897[/C][C]0.837794[/C][C]0.581103[/C][/ROW]
[ROW][C]174[/C][C]0.404938[/C][C]0.809876[/C][C]0.595062[/C][/ROW]
[ROW][C]175[/C][C]0.427432[/C][C]0.854864[/C][C]0.572568[/C][/ROW]
[ROW][C]176[/C][C]0.436632[/C][C]0.873263[/C][C]0.563368[/C][/ROW]
[ROW][C]177[/C][C]0.494664[/C][C]0.989327[/C][C]0.505336[/C][/ROW]
[ROW][C]178[/C][C]0.461064[/C][C]0.922128[/C][C]0.538936[/C][/ROW]
[ROW][C]179[/C][C]0.438391[/C][C]0.876781[/C][C]0.561609[/C][/ROW]
[ROW][C]180[/C][C]0.437838[/C][C]0.875676[/C][C]0.562162[/C][/ROW]
[ROW][C]181[/C][C]0.400541[/C][C]0.801081[/C][C]0.599459[/C][/ROW]
[ROW][C]182[/C][C]0.393501[/C][C]0.787002[/C][C]0.606499[/C][/ROW]
[ROW][C]183[/C][C]0.356462[/C][C]0.712925[/C][C]0.643538[/C][/ROW]
[ROW][C]184[/C][C]0.329788[/C][C]0.659576[/C][C]0.670212[/C][/ROW]
[ROW][C]185[/C][C]0.344977[/C][C]0.689953[/C][C]0.655023[/C][/ROW]
[ROW][C]186[/C][C]0.337544[/C][C]0.675088[/C][C]0.662456[/C][/ROW]
[ROW][C]187[/C][C]0.303483[/C][C]0.606965[/C][C]0.696517[/C][/ROW]
[ROW][C]188[/C][C]0.276539[/C][C]0.553078[/C][C]0.723461[/C][/ROW]
[ROW][C]189[/C][C]0.245808[/C][C]0.491617[/C][C]0.754192[/C][/ROW]
[ROW][C]190[/C][C]0.223275[/C][C]0.446551[/C][C]0.776725[/C][/ROW]
[ROW][C]191[/C][C]0.227132[/C][C]0.454264[/C][C]0.772868[/C][/ROW]
[ROW][C]192[/C][C]0.209027[/C][C]0.418055[/C][C]0.790973[/C][/ROW]
[ROW][C]193[/C][C]0.226939[/C][C]0.453878[/C][C]0.773061[/C][/ROW]
[ROW][C]194[/C][C]0.215045[/C][C]0.430091[/C][C]0.784955[/C][/ROW]
[ROW][C]195[/C][C]0.214476[/C][C]0.428953[/C][C]0.785524[/C][/ROW]
[ROW][C]196[/C][C]0.225849[/C][C]0.451699[/C][C]0.774151[/C][/ROW]
[ROW][C]197[/C][C]0.27297[/C][C]0.545941[/C][C]0.72703[/C][/ROW]
[ROW][C]198[/C][C]0.254746[/C][C]0.509492[/C][C]0.745254[/C][/ROW]
[ROW][C]199[/C][C]0.288265[/C][C]0.576529[/C][C]0.711735[/C][/ROW]
[ROW][C]200[/C][C]0.255384[/C][C]0.510768[/C][C]0.744616[/C][/ROW]
[ROW][C]201[/C][C]0.292984[/C][C]0.585968[/C][C]0.707016[/C][/ROW]
[ROW][C]202[/C][C]0.271384[/C][C]0.542768[/C][C]0.728616[/C][/ROW]
[ROW][C]203[/C][C]0.333142[/C][C]0.666284[/C][C]0.666858[/C][/ROW]
[ROW][C]204[/C][C]0.297182[/C][C]0.594365[/C][C]0.702818[/C][/ROW]
[ROW][C]205[/C][C]0.263004[/C][C]0.526007[/C][C]0.736996[/C][/ROW]
[ROW][C]206[/C][C]0.241565[/C][C]0.48313[/C][C]0.758435[/C][/ROW]
[ROW][C]207[/C][C]0.210193[/C][C]0.420385[/C][C]0.789807[/C][/ROW]
[ROW][C]208[/C][C]0.229728[/C][C]0.459456[/C][C]0.770272[/C][/ROW]
[ROW][C]209[/C][C]0.197822[/C][C]0.395644[/C][C]0.802178[/C][/ROW]
[ROW][C]210[/C][C]0.214542[/C][C]0.429084[/C][C]0.785458[/C][/ROW]
[ROW][C]211[/C][C]0.242562[/C][C]0.485124[/C][C]0.757438[/C][/ROW]
[ROW][C]212[/C][C]0.226758[/C][C]0.453517[/C][C]0.773242[/C][/ROW]
[ROW][C]213[/C][C]0.199329[/C][C]0.398658[/C][C]0.800671[/C][/ROW]
[ROW][C]214[/C][C]0.248915[/C][C]0.49783[/C][C]0.751085[/C][/ROW]
[ROW][C]215[/C][C]0.221495[/C][C]0.442991[/C][C]0.778505[/C][/ROW]
[ROW][C]216[/C][C]0.208172[/C][C]0.416343[/C][C]0.791828[/C][/ROW]
[ROW][C]217[/C][C]0.241197[/C][C]0.482393[/C][C]0.758803[/C][/ROW]
[ROW][C]218[/C][C]0.210509[/C][C]0.421018[/C][C]0.789491[/C][/ROW]
[ROW][C]219[/C][C]0.196494[/C][C]0.392989[/C][C]0.803506[/C][/ROW]
[ROW][C]220[/C][C]0.204039[/C][C]0.408077[/C][C]0.795961[/C][/ROW]
[ROW][C]221[/C][C]0.212216[/C][C]0.424432[/C][C]0.787784[/C][/ROW]
[ROW][C]222[/C][C]0.213314[/C][C]0.426628[/C][C]0.786686[/C][/ROW]
[ROW][C]223[/C][C]0.197215[/C][C]0.394431[/C][C]0.802785[/C][/ROW]
[ROW][C]224[/C][C]0.165167[/C][C]0.330334[/C][C]0.834833[/C][/ROW]
[ROW][C]225[/C][C]0.149525[/C][C]0.299049[/C][C]0.850475[/C][/ROW]
[ROW][C]226[/C][C]0.178414[/C][C]0.356829[/C][C]0.821586[/C][/ROW]
[ROW][C]227[/C][C]0.370585[/C][C]0.741169[/C][C]0.629415[/C][/ROW]
[ROW][C]228[/C][C]0.34718[/C][C]0.694359[/C][C]0.65282[/C][/ROW]
[ROW][C]229[/C][C]0.320121[/C][C]0.640242[/C][C]0.679879[/C][/ROW]
[ROW][C]230[/C][C]0.304918[/C][C]0.609835[/C][C]0.695082[/C][/ROW]
[ROW][C]231[/C][C]0.262256[/C][C]0.524512[/C][C]0.737744[/C][/ROW]
[ROW][C]232[/C][C]0.301634[/C][C]0.603268[/C][C]0.698366[/C][/ROW]
[ROW][C]233[/C][C]0.256911[/C][C]0.513821[/C][C]0.743089[/C][/ROW]
[ROW][C]234[/C][C]0.215101[/C][C]0.430201[/C][C]0.784899[/C][/ROW]
[ROW][C]235[/C][C]0.21432[/C][C]0.42864[/C][C]0.78568[/C][/ROW]
[ROW][C]236[/C][C]0.190026[/C][C]0.380053[/C][C]0.809974[/C][/ROW]
[ROW][C]237[/C][C]0.15914[/C][C]0.318279[/C][C]0.84086[/C][/ROW]
[ROW][C]238[/C][C]0.124005[/C][C]0.24801[/C][C]0.875995[/C][/ROW]
[ROW][C]239[/C][C]0.241043[/C][C]0.482087[/C][C]0.758957[/C][/ROW]
[ROW][C]240[/C][C]0.236472[/C][C]0.472943[/C][C]0.763528[/C][/ROW]
[ROW][C]241[/C][C]0.204348[/C][C]0.408697[/C][C]0.795652[/C][/ROW]
[ROW][C]242[/C][C]0.404087[/C][C]0.808175[/C][C]0.595913[/C][/ROW]
[ROW][C]243[/C][C]0.359931[/C][C]0.719861[/C][C]0.640069[/C][/ROW]
[ROW][C]244[/C][C]0.30004[/C][C]0.600081[/C][C]0.69996[/C][/ROW]
[ROW][C]245[/C][C]0.429842[/C][C]0.859683[/C][C]0.570158[/C][/ROW]
[ROW][C]246[/C][C]0.345092[/C][C]0.690185[/C][C]0.654908[/C][/ROW]
[ROW][C]247[/C][C]0.26797[/C][C]0.53594[/C][C]0.73203[/C][/ROW]
[ROW][C]248[/C][C]0.411868[/C][C]0.823736[/C][C]0.588132[/C][/ROW]
[ROW][C]249[/C][C]0.318883[/C][C]0.637766[/C][C]0.681117[/C][/ROW]
[ROW][C]250[/C][C]0.230601[/C][C]0.461203[/C][C]0.769399[/C][/ROW]
[ROW][C]251[/C][C]0.356228[/C][C]0.712456[/C][C]0.643772[/C][/ROW]
[ROW][C]252[/C][C]0.872688[/C][C]0.254625[/C][C]0.127312[/C][/ROW]
[ROW][C]253[/C][C]0.750321[/C][C]0.499358[/C][C]0.249679[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226155&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226155&T=5

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


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.02376390.04752770.976236
120.7080320.5839370.291968
130.9635120.07297620.0364881
140.9378690.1242630.0621313
150.9413670.1172660.0586332
160.9103880.1792250.0896125
170.9472940.1054120.0527058
180.9201540.1596910.0798457
190.8845910.2308190.115409
200.8818690.2362620.118131
210.9125370.1749270.0874633
220.9102160.1795690.0897844
230.9112360.1775270.0887636
240.8820260.2359470.117974
250.8586870.2826250.141313
260.998870.002259470.00112974
270.9982220.003555790.0017779
280.99720.005600630.00280031
290.9957490.008502320.00425116
300.9970730.005853830.00292692
310.9955890.008821780.00441089
320.9936890.0126230.0063115
330.9924190.01516190.00758097
340.9890870.02182590.010913
350.9865860.02682750.0134137
360.9814970.03700550.0185027
370.9873630.02527340.0126367
380.9826660.03466740.0173337
390.9802170.03956580.0197829
400.9805520.03889540.0194477
410.9745830.05083420.0254171
420.9721590.05568140.0278407
430.9634650.07306920.0365346
440.9570870.08582610.0429131
450.9450350.1099290.0549647
460.95440.09120090.0456004
470.9420330.1159340.057967
480.9270450.145910.072955
490.9383990.1232030.0616013
500.9344690.1310620.0655311
510.920280.159440.0797199
520.9026590.1946810.0973407
530.8886250.222750.111375
540.8715880.2568250.128412
550.8642660.2714690.135734
560.8457510.3084990.154249
570.832290.3354190.16771
580.8033560.3932890.196644
590.8458470.3083060.154153
600.8414210.3171570.158579
610.859850.28030.14015
620.8586830.2826330.141317
630.9096450.1807110.0903554
640.896840.206320.10316
650.8865060.2269880.113494
660.959020.08195910.0409795
670.9574920.08501610.042508
680.9627470.07450610.037253
690.9577310.08453760.0422688
700.9514010.09719890.0485994
710.9409280.1181440.0590719
720.954230.09154030.0457701
730.9441850.111630.0558148
740.9330720.1338570.0669285
750.9281350.1437310.0718653
760.9144230.1711540.0855772
770.9264440.1471110.0735555
780.9125920.1748160.0874078
790.9037940.1924120.096206
800.8968520.2062960.103148
810.8784250.2431510.121575
820.858790.282420.14121
830.851020.297960.14898
840.8303490.3393030.169651
850.8048460.3903070.195154
860.7811720.4376560.218828
870.7524250.495150.247575
880.7215570.5568860.278443
890.795270.4094590.20473
900.8293270.3413450.170673
910.8047680.3904640.195232
920.7811730.4376530.218827
930.7575010.4849970.242499
940.7324820.5350360.267518
950.7059360.5881290.294064
960.6801760.6396490.319824
970.6523250.695350.347675
980.6508490.6983010.349151
990.6168330.7663350.383167
1000.6069490.7861020.393051
1010.5824510.8350980.417549
1020.5528460.8943090.447154
1030.6011350.797730.398865
1040.5899770.8200460.410023
1050.605270.789460.39473
1060.5778370.8443250.422163
1070.5701490.8597030.429851
1080.610510.7789810.38949
1090.5829090.8341810.417091
1100.5573260.8853470.442674
1110.5622760.8754480.437724
1120.5909660.8180690.409034
1130.5886920.8226160.411308
1140.6778240.6443510.322176
1150.6467550.7064890.353245
1160.6221720.7556550.377828
1170.5891820.8216360.410818
1180.5653150.8693710.434685
1190.5312640.9374720.468736
1200.5001020.9997960.499898
1210.4695040.9390070.530496
1220.4388810.8777620.561119
1230.4122990.8245980.587701
1240.379910.7598210.62009
1250.3686920.7373840.631308
1260.3397040.6794080.660296
1270.3270230.6540460.672977
1280.4299740.8599480.570026
1290.4133450.8266910.586655
1300.402180.8043610.59782
1310.3866450.7732890.613355
1320.3593150.7186290.640685
1330.380090.7601810.61991
1340.3532290.7064570.646771
1350.3648880.7297760.635112
1360.3543940.7087890.645606
1370.3252990.6505970.674701
1380.3012690.6025390.698731
1390.2758020.5516030.724198
1400.2525560.5051110.747444
1410.2255960.4511930.774404
1420.2313560.4627130.768644
1430.2067720.4135440.793228
1440.1861370.3722750.813863
1450.1743180.3486360.825682
1460.1665820.3331640.833418
1470.1750260.3500530.824974
1480.1912850.382570.808715
1490.2076550.4153090.792345
1500.2085830.4171660.791417
1510.1881790.3763580.811821
1520.1691640.3383280.830836
1530.182890.3657810.81711
1540.1981510.3963010.801849
1550.1840270.3680540.815973
1560.1612060.3224120.838794
1570.1436490.2872990.856351
1580.2254860.4509710.774514
1590.2434830.4869660.756517
1600.2229370.4458740.777063
1610.2000010.4000020.799999
1620.1768750.3537490.823125
1630.1564520.3129040.843548
1640.262430.524860.73757
1650.2589810.5179610.741019
1660.2550420.5100850.744958
1670.2267770.4535550.773223
1680.2047670.4095340.795233
1690.2614990.5229970.738501
1700.2863570.5727140.713643
1710.2587920.5175840.741208
1720.2538220.5076440.746178
1730.4188970.8377940.581103
1740.4049380.8098760.595062
1750.4274320.8548640.572568
1760.4366320.8732630.563368
1770.4946640.9893270.505336
1780.4610640.9221280.538936
1790.4383910.8767810.561609
1800.4378380.8756760.562162
1810.4005410.8010810.599459
1820.3935010.7870020.606499
1830.3564620.7129250.643538
1840.3297880.6595760.670212
1850.3449770.6899530.655023
1860.3375440.6750880.662456
1870.3034830.6069650.696517
1880.2765390.5530780.723461
1890.2458080.4916170.754192
1900.2232750.4465510.776725
1910.2271320.4542640.772868
1920.2090270.4180550.790973
1930.2269390.4538780.773061
1940.2150450.4300910.784955
1950.2144760.4289530.785524
1960.2258490.4516990.774151
1970.272970.5459410.72703
1980.2547460.5094920.745254
1990.2882650.5765290.711735
2000.2553840.5107680.744616
2010.2929840.5859680.707016
2020.2713840.5427680.728616
2030.3331420.6662840.666858
2040.2971820.5943650.702818
2050.2630040.5260070.736996
2060.2415650.483130.758435
2070.2101930.4203850.789807
2080.2297280.4594560.770272
2090.1978220.3956440.802178
2100.2145420.4290840.785458
2110.2425620.4851240.757438
2120.2267580.4535170.773242
2130.1993290.3986580.800671
2140.2489150.497830.751085
2150.2214950.4429910.778505
2160.2081720.4163430.791828
2170.2411970.4823930.758803
2180.2105090.4210180.789491
2190.1964940.3929890.803506
2200.2040390.4080770.795961
2210.2122160.4244320.787784
2220.2133140.4266280.786686
2230.1972150.3944310.802785
2240.1651670.3303340.834833
2250.1495250.2990490.850475
2260.1784140.3568290.821586
2270.3705850.7411690.629415
2280.347180.6943590.65282
2290.3201210.6402420.679879
2300.3049180.6098350.695082
2310.2622560.5245120.737744
2320.3016340.6032680.698366
2330.2569110.5138210.743089
2340.2151010.4302010.784899
2350.214320.428640.78568
2360.1900260.3800530.809974
2370.159140.3182790.84086
2380.1240050.248010.875995
2390.2410430.4820870.758957
2400.2364720.4729430.763528
2410.2043480.4086970.795652
2420.4040870.8081750.595913
2430.3599310.7198610.640069
2440.300040.6000810.69996
2450.4298420.8596830.570158
2460.3450920.6901850.654908
2470.267970.535940.73203
2480.4118680.8237360.588132
2490.3188830.6377660.681117
2500.2306010.4612030.769399
2510.3562280.7124560.643772
2520.8726880.2546250.127312
2530.7503210.4993580.249679






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level60.0246914NOK
5% type I error level160.0658436NOK
10% type I error level280.115226NOK

\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 & 6 & 0.0246914 & NOK \tabularnewline
5% type I error level & 16 & 0.0658436 & NOK \tabularnewline
10% type I error level & 28 & 0.115226 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226155&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]6[/C][C]0.0246914[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]16[/C][C]0.0658436[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]28[/C][C]0.115226[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226155&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226155&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 level60.0246914NOK
5% type I error level160.0658436NOK
10% type I error level280.115226NOK


Figures (Output of Computation)

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

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