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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationSun, 03 Nov 2013 12:59:31 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Nov/03/t1383501627egj2ry4v32sat7o.htm/, Retrieved Mon, 29 Apr 2024 15:52:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=221981, Retrieved Mon, 29 Apr 2024 15:52:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact79

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [Learning] [2013-11-03 17:59:31] [dbceeb23fcf622ba260f793fe955ad62] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
14 41 38 13 12 12 53 32
18 39 32 16 11 11 83 51
11 30 35 19 15 14 66 42
12 31 33 15 6 12 67 41
16 34 37 14 13 21 76 46
18 35 29 13 10 12 78 47
14 39 31 19 12 22 53 37
14 34 36 15 14 11 80 49
15 36 35 14 12 10 74 45
15 37 38 15 9 13 76 47
17 38 31 16 10 10 79 49
19 36 34 16 12 8 54 33
10 38 35 16 12 15 67 42
16 39 38 16 11 14 54 33
18 33 37 17 15 10 87 53
14 32 33 15 12 14 58 36
14 36 32 15 10 14 75 45
17 38 38 20 12 11 88 54
14 39 38 18 11 10 64 41
16 32 32 16 12 13 57 36
18 32 33 16 11 9.5 66 41
11 31 31 16 12 14 68 44
14 39 38 19 13 12 54 33
12 37 39 16 11 14 56 37
17 39 32 17 12 11 86 52
9 41 32 17 13 9 80 47
16 36 35 16 10 11 76 43
14 33 37 15 14 15 69 44
15 33 33 16 12 14 78 45
11 34 33 14 10 13 67 44
16 31 31 15 12 9 80 49
13 27 32 12 8 15 54 33
17 37 31 14 10 10 71 43
15 34 37 16 12 11 84 54
14 34 30 14 12 13 74 42
16 32 33 10 7 8 71 44
9 29 31 10 9 20 63 37
15 36 33 14 12 12 71 43
17 29 31 16 10 10 76 46
13 35 33 16 10 10 69 42
15 37 32 16 10 9 74 45
16 34 33 14 12 14 75 44
16 38 32 20 15 8 54 33
12 35 33 14 10 14 52 31
15 38 28 14 10 11 69 42
11 37 35 11 12 13 68 40
15 38 39 14 13 9 65 43
15 33 34 15 11 11 75 46
17 36 38 16 11 15 74 42
13 38 32 14 12 11 75 45
16 32 38 16 14 10 72 44
14 32 30 14 10 14 67 40
11 32 33 12 12 18 63 37
12 34 38 16 13 14 62 46
12 32 32 9 5 11 63 36
15 37 35 14 6 14.5 76 47
16 39 34 16 12 13 74 45
15 29 34 16 12 9 67 42
12 37 36 15 11 10 73 43
12 35 34 16 10 15 70 43
8 30 28 12 7 20 53 32
13 38 34 16 12 12 77 45
11 34 35 16 14 12 80 48
14 31 35 14 11 14 52 31
15 34 31 16 12 13 54 33
10 35 37 17 13 11 80 49
11 36 35 18 14 17 66 42
12 30 27 18 11 12 73 41
15 39 40 12 12 13 63 38
15 35 37 16 12 14 69 42
14 38 36 10 8 13 67 44
16 31 38 14 11 15 54 33
15 34 39 18 14 13 81 48
15 38 41 18 14 10 69 40
13 34 27 16 12 11 84 50
12 39 30 17 9 19 80 49
17 37 37 16 13 13 70 43
13 34 31 16 11 17 69 44
15 28 31 13 12 13 77 47
13 37 27 16 12 9 54 33
15 33 36 16 12 11 79 46
15 35 37 16 12 9 71 45
16 37 33 15 12 12 73 43
15 32 34 15 11 12 72 44
14 33 31 16 10 13 77 47
15 38 39 14 9 13 75 45
14 33 34 16 12 12 69 42
13 29 32 16 12 15 54 33
7 33 33 15 12 22 70 43
17 31 36 12 9 13 73 46
13 36 32 17 15 15 54 33
15 35 41 16 12 13 77 46
14 32 28 15 12 15 82 48
13 29 30 13 12 12.5 80 47
16 39 36 16 10 11 80 47
12 37 35 16 13 16 69 43
14 35 31 16 9 11 78 46
17 37 34 16 12 11 81 48
15 32 36 14 10 10 76 46
17 38 36 16 14 10 76 45
12 37 35 16 11 16 73 45
16 36 37 20 15 12 85 52
11 32 28 15 11 11 66 42
15 33 39 16 11 16 79 47
9 40 32 13 12 19 68 41
16 38 35 17 12 11 76 47
15 41 39 16 12 16 71 43
10 36 35 16 11 15 54 33
10 43 42 12 7 24 46 30
15 30 34 16 12 14 85 52
11 31 33 16 14 15 74 44
13 32 41 17 11 11 88 55
14 32 33 13 11 15 38 11
18 37 34 12 10 12 76 47
16 37 32 18 13 10 86 53
14 33 40 14 13 14 54 33
14 34 40 14 8 13 67 44
14 33 35 13 11 9 69 42
14 38 36 16 12 15 90 55
12 33 37 13 11 15 54 33
14 31 27 16 13 14 76 46
15 38 39 13 12 11 89 54
15 37 38 16 14 8 76 47
15 36 31 15 13 11 73 45
13 31 33 16 15 11 79 47
17 39 32 15 10 8 90 55
17 44 39 17 11 10 74 44
19 33 36 15 9 11 81 53
15 35 33 12 11 13 72 44
13 32 33 16 10 11 71 42
9 28 32 10 11 20 66 40
15 40 37 16 8 10 77 46
15 27 30 12 11 15 65 40
15 37 38 14 12 12 74 46
16 32 29 15 12 14 85 53
11 28 22 13 9 23 54 33
14 34 35 15 11 14 63 42
11 30 35 11 10 16 54 35
15 35 34 12 8 11 64 40
13 31 35 11 9 12 69 41
15 32 34 16 8 10 54 33
16 30 37 15 9 14 84 51
14 30 35 17 15 12 86 53
15 31 23 16 11 12 77 46
16 40 31 10 8 11 89 55
16 32 27 18 13 12 76 47
11 36 36 13 12 13 60 38
12 32 31 16 12 11 75 46
9 35 32 13 9 19 73 46
16 38 39 10 7 12 85 53
13 42 37 15 13 17 79 47
16 34 38 16 9 9 71 41
12 35 39 16 6 12 72 44
9 38 34 14 8 19 69 43
13 33 31 10 8 18 78 51
13 36 32 17 15 15 54 33
14 32 37 13 6 14 69 43
19 33 36 15 9 11 81 53
13 34 32 16 11 9 84 51
12 32 38 12 8 18 84 50
13 34 36 13 8 16 69 46
10 27 26 13 10 24 66 43
14 31 26 12 8 14 81 47
16 38 33 17 14 20 82 50
10 34 39 15 10 18 72 43
11 24 30 10 8 23 54 33
14 30 33 14 11 12 78 48
12 26 25 11 12 14 74 44
9 34 38 13 12 16 82 50
9 27 37 16 12 18 73 41
11 37 31 12 5 20 55 34
16 36 37 16 12 12 72 44
9 41 35 12 10 12 78 47
13 29 25 9 7 17 59 35
16 36 28 12 12 13 72 44
13 32 35 15 11 9 78 44
9 37 33 12 8 16 68 43
12 30 30 12 9 18 69 41
16 31 31 14 10 10 67 41
11 38 37 12 9 14 74 42
14 36 36 16 12 11 54 33
13 35 30 11 6 9 67 41
15 31 36 19 15 11 70 44
14 38 32 15 12 10 80 48
16 22 28 8 12 11 89 55
13 32 36 16 12 19 76 44
14 36 34 17 11 14 74 43
15 39 31 12 7 12 87 52
13 28 28 11 7 14 54 30
11 32 36 11 5 21 61 39
11 32 36 14 12 13 38 11
14 38 40 16 12 10 75 44
15 32 33 12 3 15 69 42
11 35 37 16 11 16 62 41
15 32 32 13 10 14 72 44
12 37 38 15 12 12 70 44
14 34 31 16 9 19 79 48
14 33 37 16 12 15 87 53
8 33 33 14 9 19 62 37
13 26 32 16 12 13 77 44
9 30 30 16 12 17 69 44
15 24 30 14 10 12 69 40
17 34 31 11 9 11 75 42
13 34 32 12 12 14 54 35
15 33 34 15 8 11 72 43
15 34 36 15 11 13 74 45
14 35 37 16 11 12 85 55
16 35 36 16 12 15 52 31
13 36 33 11 10 14 70 44
16 34 33 15 10 12 84 50
9 34 33 12 12 17 64 40
16 41 44 12 12 11 84 53
11 32 39 15 11 18 87 54
10 30 32 15 8 13 79 49
11 35 35 16 12 17 67 40
15 28 25 14 10 13 65 41
17 33 35 17 11 11 85 52
14 39 34 14 10 12 83 52
8 36 35 13 8 22 61 36
15 36 39 15 12 14 82 52
11 35 33 13 12 12 76 46
16 38 36 14 10 12 58 31
10 33 32 15 12 17 72 44
15 31 32 12 9 9 72 44
9 34 36 13 9 21 38 11
16 32 36 8 6 10 78 46
19 31 32 14 10 11 54 33
12 33 34 14 9 12 63 34
8 34 33 11 9 23 66 42
11 34 35 12 9 13 70 43
14 34 30 13 6 12 71 43
9 33 38 10 10 16 67 44
15 32 34 16 6 9 58 36
13 41 33 18 14 17 72 46
16 34 32 13 10 9 72 44
11 36 31 11 10 14 70 43
12 37 30 4 6 17 76 50
13 36 27 13 12 13 50 33
10 29 31 16 12 11 72 43
11 37 30 10 7 12 72 44
12 27 32 12 8 10 88 53
8 35 35 12 11 19 53 34
12 28 28 10 3 16 58 35
12 35 33 13 6 16 66 40
15 37 31 15 10 14 82 53
11 29 35 12 8 20 69 42
13 32 35 14 9 15 68 43
14 36 32 10 9 23 44 29
10 19 21 12 8 20 56 36
12 21 20 12 9 16 53 30
15 31 34 11 7 14 70 42
13 33 32 10 7 17 78 47
13 36 34 12 6 11 71 44
13 33 32 16 9 13 72 45
12 37 33 12 10 17 68 44
12 34 33 14 11 15 67 43
9 35 37 16 12 21 75 43
9 31 32 14 8 18 62 40
15 37 34 13 11 15 67 41
10 35 30 4 3 8 83 52
14 27 30 15 11 12 64 38
15 34 38 11 12 12 68 41
7 40 36 11 7 22 62 39
14 29 32 14 9 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'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=221981&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=221981&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=221981&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'George Udny Yule' @ yule.wessa.net






Multiple Linear Regression - Estimated Regression Equation
Learning[t] = + 3.77957 + 0.0986311Happiness[t] + 0.0469437Connected[t] + 0.0419978Separate[t] + 0.607405Software[t] -0.0393791Depression[t] + 0.0158661Sport1[t] -0.0194154Sport2[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Learning[t] =  +  3.77957 +  0.0986311Happiness[t] +  0.0469437Connected[t] +  0.0419978Separate[t] +  0.607405Software[t] -0.0393791Depression[t] +  0.0158661Sport1[t] -0.0194154Sport2[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=221981&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Learning[t] =  +  3.77957 +  0.0986311Happiness[t] +  0.0469437Connected[t] +  0.0419978Separate[t] +  0.607405Software[t] -0.0393791Depression[t] +  0.0158661Sport1[t] -0.0194154Sport2[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=221981&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=221981&T=1

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


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

Multiple Linear Regression - Estimated Regression Equation
Learning[t] = + 3.77957 + 0.0986311Happiness[t] + 0.0469437Connected[t] + 0.0419978Separate[t] + 0.607405Software[t] -0.0393791Depression[t] + 0.0158661Sport1[t] -0.0194154Sport2[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)3.779571.917651.9710.04980860.0249043
Happiness0.09863110.05796281.7020.09003960.0450198
Connected0.04694370.03478731.3490.1783840.0891921
Separate0.04199780.03564851.1780.2398470.119923
Software0.6074050.051845111.721.14473e-255.72366e-26
Depression-0.03937910.0425572-0.92530.355670.177835
Sport10.01586610.03784280.41930.6753760.337688
Sport2-0.01941540.0564441-0.3440.7311470.365573

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Ordinary Least Squares \tabularnewline
Variable & Parameter & S.D. & T-STATH0: parameter = 0 & 2-tail p-value & 1-tail p-value \tabularnewline
(Intercept) & 3.77957 & 1.91765 & 1.971 & 0.0498086 & 0.0249043 \tabularnewline
Happiness & 0.0986311 & 0.0579628 & 1.702 & 0.0900396 & 0.0450198 \tabularnewline
Connected & 0.0469437 & 0.0347873 & 1.349 & 0.178384 & 0.0891921 \tabularnewline
Separate & 0.0419978 & 0.0356485 & 1.178 & 0.239847 & 0.119923 \tabularnewline
Software & 0.607405 & 0.0518451 & 11.72 & 1.14473e-25 & 5.72366e-26 \tabularnewline
Depression & -0.0393791 & 0.0425572 & -0.9253 & 0.35567 & 0.177835 \tabularnewline
Sport1 & 0.0158661 & 0.0378428 & 0.4193 & 0.675376 & 0.337688 \tabularnewline
Sport2 & -0.0194154 & 0.0564441 & -0.344 & 0.731147 & 0.365573 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=221981&T=2

[TABLE]
[ROW][C]Multiple Linear Regression - Ordinary Least Squares[/C][/ROW]
[ROW][C]Variable[/C][C]Parameter[/C][C]S.D.[/C][C]T-STATH0: parameter = 0[/C][C]2-tail p-value[/C][C]1-tail p-value[/C][/ROW]
[ROW][C](Intercept)[/C][C]3.77957[/C][C]1.91765[/C][C]1.971[/C][C]0.0498086[/C][C]0.0249043[/C][/ROW]
[ROW][C]Happiness[/C][C]0.0986311[/C][C]0.0579628[/C][C]1.702[/C][C]0.0900396[/C][C]0.0450198[/C][/ROW]
[ROW][C]Connected[/C][C]0.0469437[/C][C]0.0347873[/C][C]1.349[/C][C]0.178384[/C][C]0.0891921[/C][/ROW]
[ROW][C]Separate[/C][C]0.0419978[/C][C]0.0356485[/C][C]1.178[/C][C]0.239847[/C][C]0.119923[/C][/ROW]
[ROW][C]Software[/C][C]0.607405[/C][C]0.0518451[/C][C]11.72[/C][C]1.14473e-25[/C][C]5.72366e-26[/C][/ROW]
[ROW][C]Depression[/C][C]-0.0393791[/C][C]0.0425572[/C][C]-0.9253[/C][C]0.35567[/C][C]0.177835[/C][/ROW]
[ROW][C]Sport1[/C][C]0.0158661[/C][C]0.0378428[/C][C]0.4193[/C][C]0.675376[/C][C]0.337688[/C][/ROW]
[ROW][C]Sport2[/C][C]-0.0194154[/C][C]0.0564441[/C][C]-0.344[/C][C]0.731147[/C][C]0.365573[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=221981&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=221981&T=2

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


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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)3.779571.917651.9710.04980860.0249043
Happiness0.09863110.05796281.7020.09003960.0450198
Connected0.04694370.03478731.3490.1783840.0891921
Separate0.04199780.03564851.1780.2398470.119923
Software0.6074050.051845111.721.14473e-255.72366e-26
Depression-0.03937910.0425572-0.92530.355670.177835
Sport10.01586610.03784280.41930.6753760.337688
Sport2-0.01941540.0564441-0.3440.7311470.365573






Multiple Linear Regression - Regression Statistics
Multiple R0.653394
R-squared0.426924
Adjusted R-squared0.411254
F-TEST (value)27.2446
F-TEST (DF numerator)7
F-TEST (DF denominator)256
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.88446
Sum Squared Residuals909.107

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.653394 \tabularnewline
R-squared & 0.426924 \tabularnewline
Adjusted R-squared & 0.411254 \tabularnewline
F-TEST (value) & 27.2446 \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 & 1.88446 \tabularnewline
Sum Squared Residuals & 909.107 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=221981&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.653394[/C][/ROW]
[ROW][C]R-squared[/C][C]0.426924[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.411254[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]27.2446[/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]1.88446[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]909.107[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=221981&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=221981&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 R0.653394
R-squared0.426924
Adjusted R-squared0.411254
F-TEST (value)27.2446
F-TEST (DF numerator)7
F-TEST (DF denominator)256
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.88446
Sum Squared Residuals909.107






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
11315.7169-2.71693
21615.30460.695355
31916.53422.46577
41511.24323.7568
51415.8897-1.88969
61314.3424-1.34242
71914.83824.16181
81516.6568-1.65684
91415.6144-1.6144
101513.83991.16012
111614.52441.47559
121615.96130.0386548
131614.96541.03458
141615.13060.869405
151717.7266-0.726605
161515.0074-0.00736023
171514.03330.966689
182016.03953.96045
191815.09422.90581
201615.18610.813862
211615.00150.998463
221614.58391.41614
231916.22692.7731
241614.63831.36175
251715.84161.1584
261715.83451.16551
271614.52941.4706
281516.4169-1.41693
291615.29550.704483
301413.61740.382606
311515.3672-0.367231
321212.1578-0.157795
331414.467-0.467034
341615.5490.450953
351415.152-1.152
361012.4548-2.45481
371012.2908-2.2908
381415.4429-1.44288
391614.11261.88743
401614.05031.9497
411614.35991.64008
421415.4129-1.41291
432017.49762.50244
441413.7380.262
451414.139-0.139026
461115.1506-4.15056
471416.4191-2.4191
481514.78120.218766
491615.19160.808402
501415.3615-1.36152
511616.8537-0.85374
521413.73170.268311
531214.6139-2.61387
541615.59070.40931
55910.7137-1.71373
561411.83262.1674
571615.69370.306276
581615.23040.769644
591514.8230.176995
601613.79322.20678
611210.83671.16327
621615.43790.562136
631616.299-0.298987
641414.4389-0.438888
651615.150.849956
661715.74391.25615
671816.09031.90965
681814.07653.92351
691215.8085-3.80846
701615.47280.527152
711013.0122-3.01225
721414.7157-0.715666
731816.8381.16201
741817.19280.807172
751615.00950.990531
761713.09033.90975
771616.4072-0.407233
781614.21231.78772
791314.9615-1.96149
801615.08310.916861
811615.53610.463901
821615.64320.356771
831515.6202-0.620182
841514.68610.313856
851613.88282.11724
861413.95180.0482114
871615.23310.766906
881614.68131.3187
891514.10330.896662
901213.6433-1.6433
911716.83210.167875
921615.72950.270515
931514.90580.0942077
941314.8365-1.83646
951614.6981.30197
961615.69610.303922
971613.48332.51672
981615.830.169958
991414.2661-0.266126
1001617.1941-1.19409
1011614.50591.4941
1022017.57912.4209
1031514.02260.977354
1041614.83841.16162
1051314.7124-1.71244
1061715.76041.23956
1071615.77210.227935
1081614.23261.7674
1091212.0025-0.00248027
1101615.17180.828161
1111615.93850.061512
1121714.86252.13747
1131314.5286-1.52864
1141214.6146-2.61457
1151816.27651.72355
1161415.9505-1.95048
1171412.99251.00754
1181314.7858-1.78582
1191615.51450.485542
1201314.373-1.37303
1211615.40730.59273
1221315.9001-2.90015
1231617.0738-1.0738
1241515.9986-0.998565
1251616.9218-0.921756
1261514.75010.249853
1271715.76721.23279
1281514.00420.995768
1291214.7456-2.7456
1301613.90182.09818
1311013.49-3.49002
1321613.48472.51527
1331214.1319-2.1319
1341415.6892-1.68916
1351515.135-0.134953
1361311.87991.12013
1371514.54070.459324
1381113.364-2.36396
1391212.9949-0.994872
1401113.2798-2.27977
1411612.87073.12933
1421513.57781.4222
1431717.0126-0.0126297
1441614.21771.78228
1451013.3076-3.30765
1461815.71082.28918
1471315.0575-2.05752
1481614.91981.08019
1491312.63780.362236
1501012.8783-2.87833
1511516.155-1.15504
1521613.99242.00764
1531611.7044.29595
1541412.251.75003
1551012.3106-2.31063
1561716.83210.167875
1571311.56951.43046
1581514.00420.995768
1591614.67141.3286
1601212.5737-0.573652
1611312.60060.399396
1621312.46660.533449
1631212.3882-0.388161
1641716.57380.42621
1651513.67261.3274
1661011.4207-1.42067
1671414.4692-0.469162
1681114.291-3.29099
1691314.8483-1.84829
1701614.43091.56913
1711210.36531.63469
1721615.70590.294052
1731213.9884-1.98839
174911.312-2.31203
1751215.2886-3.28859
1761514.74420.255787
1771212.2633-0.263297
1781212.6879-0.687935
1791414.0621-0.0621066
1801213.4763-1.47627
1811615.4340.565952
1821111.5217-0.521749
1831917.16051.83954
1841515.5206-0.52061
185814.7663-6.76629
1861614.96811.03191
1871714.74772.25232
1881212.5418-0.541803
1891111.527-0.526968
1901110.29930.700678
1911415.0449-1.0449
1921615.85490.145076
193129.6582.342
1941614.30051.69949
1951313.916-0.915985
1961515.3686-0.368634
1971613.09832.90166
1981615.3130.68703
1991412.48751.51254
2001614.77061.22942
2011614.19541.80461
2021413.56530.434739
2031113.7623-2.7623
2041214.9166-2.91657
2051512.96972.03033
2061514.8370.163036
2071614.8471.15297
2081615.43390.566051
2091113.9168-2.91676
2101514.30320.696841
2111214.5075-2.50749
2121216.2897-4.28968
2131514.30920.69083
2141512.16752.8325
2151614.88331.11671
2161413.42080.579212
2171715.06271.93734
2181414.3279-0.327917
2191311.99031.00971
2201515.6159-0.615892
2211315.0225-2.02249
2221414.5733-0.573303
2231514.56640.433554
2241213.4585-1.45853
2251312.80430.195719
226811.9669-3.96687
2271414.3097-0.309683
2281413.27370.726256
2291112.3433-1.34327
2301213.161-1.161
2311311.47991.52007
2321013.465-3.46504
2331611.70054.29955
2341816.45591.54413
2351314.3054-1.3054
2361113.6549-2.65492
237411.17-7.17003
2381314.8152-1.81521
2391614.59241.40764
2401011.9287-1.92873
2411212.4072-0.407197
2421213.7956-1.7956
243108.886341.11366
2441311.2771.72299
2451514.09260.907373
2461212.0468-0.0467702
2471413.15390.846117
2481012.8903-2.89029
2491210.8011.19903
2501211.88390.116066
2511112.1379-1.13792
2521011.8623-1.86226
2531211.66310.336856
2541613.17822.82178
2551213.7152-1.71521
2561414.2641-0.264088
2571614.68121.31881
2581411.82392.17607
2591314.7816-1.78164
26049.48331-5.48331
2611514.17440.825633
2621115.5502-4.55021
2631111.4716-0.471645
2641413.16730.832709

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 13 & 15.7169 & -2.71693 \tabularnewline
2 & 16 & 15.3046 & 0.695355 \tabularnewline
3 & 19 & 16.5342 & 2.46577 \tabularnewline
4 & 15 & 11.2432 & 3.7568 \tabularnewline
5 & 14 & 15.8897 & -1.88969 \tabularnewline
6 & 13 & 14.3424 & -1.34242 \tabularnewline
7 & 19 & 14.8382 & 4.16181 \tabularnewline
8 & 15 & 16.6568 & -1.65684 \tabularnewline
9 & 14 & 15.6144 & -1.6144 \tabularnewline
10 & 15 & 13.8399 & 1.16012 \tabularnewline
11 & 16 & 14.5244 & 1.47559 \tabularnewline
12 & 16 & 15.9613 & 0.0386548 \tabularnewline
13 & 16 & 14.9654 & 1.03458 \tabularnewline
14 & 16 & 15.1306 & 0.869405 \tabularnewline
15 & 17 & 17.7266 & -0.726605 \tabularnewline
16 & 15 & 15.0074 & -0.00736023 \tabularnewline
17 & 15 & 14.0333 & 0.966689 \tabularnewline
18 & 20 & 16.0395 & 3.96045 \tabularnewline
19 & 18 & 15.0942 & 2.90581 \tabularnewline
20 & 16 & 15.1861 & 0.813862 \tabularnewline
21 & 16 & 15.0015 & 0.998463 \tabularnewline
22 & 16 & 14.5839 & 1.41614 \tabularnewline
23 & 19 & 16.2269 & 2.7731 \tabularnewline
24 & 16 & 14.6383 & 1.36175 \tabularnewline
25 & 17 & 15.8416 & 1.1584 \tabularnewline
26 & 17 & 15.8345 & 1.16551 \tabularnewline
27 & 16 & 14.5294 & 1.4706 \tabularnewline
28 & 15 & 16.4169 & -1.41693 \tabularnewline
29 & 16 & 15.2955 & 0.704483 \tabularnewline
30 & 14 & 13.6174 & 0.382606 \tabularnewline
31 & 15 & 15.3672 & -0.367231 \tabularnewline
32 & 12 & 12.1578 & -0.157795 \tabularnewline
33 & 14 & 14.467 & -0.467034 \tabularnewline
34 & 16 & 15.549 & 0.450953 \tabularnewline
35 & 14 & 15.152 & -1.152 \tabularnewline
36 & 10 & 12.4548 & -2.45481 \tabularnewline
37 & 10 & 12.2908 & -2.2908 \tabularnewline
38 & 14 & 15.4429 & -1.44288 \tabularnewline
39 & 16 & 14.1126 & 1.88743 \tabularnewline
40 & 16 & 14.0503 & 1.9497 \tabularnewline
41 & 16 & 14.3599 & 1.64008 \tabularnewline
42 & 14 & 15.4129 & -1.41291 \tabularnewline
43 & 20 & 17.4976 & 2.50244 \tabularnewline
44 & 14 & 13.738 & 0.262 \tabularnewline
45 & 14 & 14.139 & -0.139026 \tabularnewline
46 & 11 & 15.1506 & -4.15056 \tabularnewline
47 & 14 & 16.4191 & -2.4191 \tabularnewline
48 & 15 & 14.7812 & 0.218766 \tabularnewline
49 & 16 & 15.1916 & 0.808402 \tabularnewline
50 & 14 & 15.3615 & -1.36152 \tabularnewline
51 & 16 & 16.8537 & -0.85374 \tabularnewline
52 & 14 & 13.7317 & 0.268311 \tabularnewline
53 & 12 & 14.6139 & -2.61387 \tabularnewline
54 & 16 & 15.5907 & 0.40931 \tabularnewline
55 & 9 & 10.7137 & -1.71373 \tabularnewline
56 & 14 & 11.8326 & 2.1674 \tabularnewline
57 & 16 & 15.6937 & 0.306276 \tabularnewline
58 & 16 & 15.2304 & 0.769644 \tabularnewline
59 & 15 & 14.823 & 0.176995 \tabularnewline
60 & 16 & 13.7932 & 2.20678 \tabularnewline
61 & 12 & 10.8367 & 1.16327 \tabularnewline
62 & 16 & 15.4379 & 0.562136 \tabularnewline
63 & 16 & 16.299 & -0.298987 \tabularnewline
64 & 14 & 14.4389 & -0.438888 \tabularnewline
65 & 16 & 15.15 & 0.849956 \tabularnewline
66 & 17 & 15.7439 & 1.25615 \tabularnewline
67 & 18 & 16.0903 & 1.90965 \tabularnewline
68 & 18 & 14.0765 & 3.92351 \tabularnewline
69 & 12 & 15.8085 & -3.80846 \tabularnewline
70 & 16 & 15.4728 & 0.527152 \tabularnewline
71 & 10 & 13.0122 & -3.01225 \tabularnewline
72 & 14 & 14.7157 & -0.715666 \tabularnewline
73 & 18 & 16.838 & 1.16201 \tabularnewline
74 & 18 & 17.1928 & 0.807172 \tabularnewline
75 & 16 & 15.0095 & 0.990531 \tabularnewline
76 & 17 & 13.0903 & 3.90975 \tabularnewline
77 & 16 & 16.4072 & -0.407233 \tabularnewline
78 & 16 & 14.2123 & 1.78772 \tabularnewline
79 & 13 & 14.9615 & -1.96149 \tabularnewline
80 & 16 & 15.0831 & 0.916861 \tabularnewline
81 & 16 & 15.5361 & 0.463901 \tabularnewline
82 & 16 & 15.6432 & 0.356771 \tabularnewline
83 & 15 & 15.6202 & -0.620182 \tabularnewline
84 & 15 & 14.6861 & 0.313856 \tabularnewline
85 & 16 & 13.8828 & 2.11724 \tabularnewline
86 & 14 & 13.9518 & 0.0482114 \tabularnewline
87 & 16 & 15.2331 & 0.766906 \tabularnewline
88 & 16 & 14.6813 & 1.3187 \tabularnewline
89 & 15 & 14.1033 & 0.896662 \tabularnewline
90 & 12 & 13.6433 & -1.6433 \tabularnewline
91 & 17 & 16.8321 & 0.167875 \tabularnewline
92 & 16 & 15.7295 & 0.270515 \tabularnewline
93 & 15 & 14.9058 & 0.0942077 \tabularnewline
94 & 13 & 14.8365 & -1.83646 \tabularnewline
95 & 16 & 14.698 & 1.30197 \tabularnewline
96 & 16 & 15.6961 & 0.303922 \tabularnewline
97 & 16 & 13.4833 & 2.51672 \tabularnewline
98 & 16 & 15.83 & 0.169958 \tabularnewline
99 & 14 & 14.2661 & -0.266126 \tabularnewline
100 & 16 & 17.1941 & -1.19409 \tabularnewline
101 & 16 & 14.5059 & 1.4941 \tabularnewline
102 & 20 & 17.5791 & 2.4209 \tabularnewline
103 & 15 & 14.0226 & 0.977354 \tabularnewline
104 & 16 & 14.8384 & 1.16162 \tabularnewline
105 & 13 & 14.7124 & -1.71244 \tabularnewline
106 & 17 & 15.7604 & 1.23956 \tabularnewline
107 & 16 & 15.7721 & 0.227935 \tabularnewline
108 & 16 & 14.2326 & 1.7674 \tabularnewline
109 & 12 & 12.0025 & -0.00248027 \tabularnewline
110 & 16 & 15.1718 & 0.828161 \tabularnewline
111 & 16 & 15.9385 & 0.061512 \tabularnewline
112 & 17 & 14.8625 & 2.13747 \tabularnewline
113 & 13 & 14.5286 & -1.52864 \tabularnewline
114 & 12 & 14.6146 & -2.61457 \tabularnewline
115 & 18 & 16.2765 & 1.72355 \tabularnewline
116 & 14 & 15.9505 & -1.95048 \tabularnewline
117 & 14 & 12.9925 & 1.00754 \tabularnewline
118 & 13 & 14.7858 & -1.78582 \tabularnewline
119 & 16 & 15.5145 & 0.485542 \tabularnewline
120 & 13 & 14.373 & -1.37303 \tabularnewline
121 & 16 & 15.4073 & 0.59273 \tabularnewline
122 & 13 & 15.9001 & -2.90015 \tabularnewline
123 & 16 & 17.0738 & -1.0738 \tabularnewline
124 & 15 & 15.9986 & -0.998565 \tabularnewline
125 & 16 & 16.9218 & -0.921756 \tabularnewline
126 & 15 & 14.7501 & 0.249853 \tabularnewline
127 & 17 & 15.7672 & 1.23279 \tabularnewline
128 & 15 & 14.0042 & 0.995768 \tabularnewline
129 & 12 & 14.7456 & -2.7456 \tabularnewline
130 & 16 & 13.9018 & 2.09818 \tabularnewline
131 & 10 & 13.49 & -3.49002 \tabularnewline
132 & 16 & 13.4847 & 2.51527 \tabularnewline
133 & 12 & 14.1319 & -2.1319 \tabularnewline
134 & 14 & 15.6892 & -1.68916 \tabularnewline
135 & 15 & 15.135 & -0.134953 \tabularnewline
136 & 13 & 11.8799 & 1.12013 \tabularnewline
137 & 15 & 14.5407 & 0.459324 \tabularnewline
138 & 11 & 13.364 & -2.36396 \tabularnewline
139 & 12 & 12.9949 & -0.994872 \tabularnewline
140 & 11 & 13.2798 & -2.27977 \tabularnewline
141 & 16 & 12.8707 & 3.12933 \tabularnewline
142 & 15 & 13.5778 & 1.4222 \tabularnewline
143 & 17 & 17.0126 & -0.0126297 \tabularnewline
144 & 16 & 14.2177 & 1.78228 \tabularnewline
145 & 10 & 13.3076 & -3.30765 \tabularnewline
146 & 18 & 15.7108 & 2.28918 \tabularnewline
147 & 13 & 15.0575 & -2.05752 \tabularnewline
148 & 16 & 14.9198 & 1.08019 \tabularnewline
149 & 13 & 12.6378 & 0.362236 \tabularnewline
150 & 10 & 12.8783 & -2.87833 \tabularnewline
151 & 15 & 16.155 & -1.15504 \tabularnewline
152 & 16 & 13.9924 & 2.00764 \tabularnewline
153 & 16 & 11.704 & 4.29595 \tabularnewline
154 & 14 & 12.25 & 1.75003 \tabularnewline
155 & 10 & 12.3106 & -2.31063 \tabularnewline
156 & 17 & 16.8321 & 0.167875 \tabularnewline
157 & 13 & 11.5695 & 1.43046 \tabularnewline
158 & 15 & 14.0042 & 0.995768 \tabularnewline
159 & 16 & 14.6714 & 1.3286 \tabularnewline
160 & 12 & 12.5737 & -0.573652 \tabularnewline
161 & 13 & 12.6006 & 0.399396 \tabularnewline
162 & 13 & 12.4666 & 0.533449 \tabularnewline
163 & 12 & 12.3882 & -0.388161 \tabularnewline
164 & 17 & 16.5738 & 0.42621 \tabularnewline
165 & 15 & 13.6726 & 1.3274 \tabularnewline
166 & 10 & 11.4207 & -1.42067 \tabularnewline
167 & 14 & 14.4692 & -0.469162 \tabularnewline
168 & 11 & 14.291 & -3.29099 \tabularnewline
169 & 13 & 14.8483 & -1.84829 \tabularnewline
170 & 16 & 14.4309 & 1.56913 \tabularnewline
171 & 12 & 10.3653 & 1.63469 \tabularnewline
172 & 16 & 15.7059 & 0.294052 \tabularnewline
173 & 12 & 13.9884 & -1.98839 \tabularnewline
174 & 9 & 11.312 & -2.31203 \tabularnewline
175 & 12 & 15.2886 & -3.28859 \tabularnewline
176 & 15 & 14.7442 & 0.255787 \tabularnewline
177 & 12 & 12.2633 & -0.263297 \tabularnewline
178 & 12 & 12.6879 & -0.687935 \tabularnewline
179 & 14 & 14.0621 & -0.0621066 \tabularnewline
180 & 12 & 13.4763 & -1.47627 \tabularnewline
181 & 16 & 15.434 & 0.565952 \tabularnewline
182 & 11 & 11.5217 & -0.521749 \tabularnewline
183 & 19 & 17.1605 & 1.83954 \tabularnewline
184 & 15 & 15.5206 & -0.52061 \tabularnewline
185 & 8 & 14.7663 & -6.76629 \tabularnewline
186 & 16 & 14.9681 & 1.03191 \tabularnewline
187 & 17 & 14.7477 & 2.25232 \tabularnewline
188 & 12 & 12.5418 & -0.541803 \tabularnewline
189 & 11 & 11.527 & -0.526968 \tabularnewline
190 & 11 & 10.2993 & 0.700678 \tabularnewline
191 & 14 & 15.0449 & -1.0449 \tabularnewline
192 & 16 & 15.8549 & 0.145076 \tabularnewline
193 & 12 & 9.658 & 2.342 \tabularnewline
194 & 16 & 14.3005 & 1.69949 \tabularnewline
195 & 13 & 13.916 & -0.915985 \tabularnewline
196 & 15 & 15.3686 & -0.368634 \tabularnewline
197 & 16 & 13.0983 & 2.90166 \tabularnewline
198 & 16 & 15.313 & 0.68703 \tabularnewline
199 & 14 & 12.4875 & 1.51254 \tabularnewline
200 & 16 & 14.7706 & 1.22942 \tabularnewline
201 & 16 & 14.1954 & 1.80461 \tabularnewline
202 & 14 & 13.5653 & 0.434739 \tabularnewline
203 & 11 & 13.7623 & -2.7623 \tabularnewline
204 & 12 & 14.9166 & -2.91657 \tabularnewline
205 & 15 & 12.9697 & 2.03033 \tabularnewline
206 & 15 & 14.837 & 0.163036 \tabularnewline
207 & 16 & 14.847 & 1.15297 \tabularnewline
208 & 16 & 15.4339 & 0.566051 \tabularnewline
209 & 11 & 13.9168 & -2.91676 \tabularnewline
210 & 15 & 14.3032 & 0.696841 \tabularnewline
211 & 12 & 14.5075 & -2.50749 \tabularnewline
212 & 12 & 16.2897 & -4.28968 \tabularnewline
213 & 15 & 14.3092 & 0.69083 \tabularnewline
214 & 15 & 12.1675 & 2.8325 \tabularnewline
215 & 16 & 14.8833 & 1.11671 \tabularnewline
216 & 14 & 13.4208 & 0.579212 \tabularnewline
217 & 17 & 15.0627 & 1.93734 \tabularnewline
218 & 14 & 14.3279 & -0.327917 \tabularnewline
219 & 13 & 11.9903 & 1.00971 \tabularnewline
220 & 15 & 15.6159 & -0.615892 \tabularnewline
221 & 13 & 15.0225 & -2.02249 \tabularnewline
222 & 14 & 14.5733 & -0.573303 \tabularnewline
223 & 15 & 14.5664 & 0.433554 \tabularnewline
224 & 12 & 13.4585 & -1.45853 \tabularnewline
225 & 13 & 12.8043 & 0.195719 \tabularnewline
226 & 8 & 11.9669 & -3.96687 \tabularnewline
227 & 14 & 14.3097 & -0.309683 \tabularnewline
228 & 14 & 13.2737 & 0.726256 \tabularnewline
229 & 11 & 12.3433 & -1.34327 \tabularnewline
230 & 12 & 13.161 & -1.161 \tabularnewline
231 & 13 & 11.4799 & 1.52007 \tabularnewline
232 & 10 & 13.465 & -3.46504 \tabularnewline
233 & 16 & 11.7005 & 4.29955 \tabularnewline
234 & 18 & 16.4559 & 1.54413 \tabularnewline
235 & 13 & 14.3054 & -1.3054 \tabularnewline
236 & 11 & 13.6549 & -2.65492 \tabularnewline
237 & 4 & 11.17 & -7.17003 \tabularnewline
238 & 13 & 14.8152 & -1.81521 \tabularnewline
239 & 16 & 14.5924 & 1.40764 \tabularnewline
240 & 10 & 11.9287 & -1.92873 \tabularnewline
241 & 12 & 12.4072 & -0.407197 \tabularnewline
242 & 12 & 13.7956 & -1.7956 \tabularnewline
243 & 10 & 8.88634 & 1.11366 \tabularnewline
244 & 13 & 11.277 & 1.72299 \tabularnewline
245 & 15 & 14.0926 & 0.907373 \tabularnewline
246 & 12 & 12.0468 & -0.0467702 \tabularnewline
247 & 14 & 13.1539 & 0.846117 \tabularnewline
248 & 10 & 12.8903 & -2.89029 \tabularnewline
249 & 12 & 10.801 & 1.19903 \tabularnewline
250 & 12 & 11.8839 & 0.116066 \tabularnewline
251 & 11 & 12.1379 & -1.13792 \tabularnewline
252 & 10 & 11.8623 & -1.86226 \tabularnewline
253 & 12 & 11.6631 & 0.336856 \tabularnewline
254 & 16 & 13.1782 & 2.82178 \tabularnewline
255 & 12 & 13.7152 & -1.71521 \tabularnewline
256 & 14 & 14.2641 & -0.264088 \tabularnewline
257 & 16 & 14.6812 & 1.31881 \tabularnewline
258 & 14 & 11.8239 & 2.17607 \tabularnewline
259 & 13 & 14.7816 & -1.78164 \tabularnewline
260 & 4 & 9.48331 & -5.48331 \tabularnewline
261 & 15 & 14.1744 & 0.825633 \tabularnewline
262 & 11 & 15.5502 & -4.55021 \tabularnewline
263 & 11 & 11.4716 & -0.471645 \tabularnewline
264 & 14 & 13.1673 & 0.832709 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=221981&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]13[/C][C]15.7169[/C][C]-2.71693[/C][/ROW]
[ROW][C]2[/C][C]16[/C][C]15.3046[/C][C]0.695355[/C][/ROW]
[ROW][C]3[/C][C]19[/C][C]16.5342[/C][C]2.46577[/C][/ROW]
[ROW][C]4[/C][C]15[/C][C]11.2432[/C][C]3.7568[/C][/ROW]
[ROW][C]5[/C][C]14[/C][C]15.8897[/C][C]-1.88969[/C][/ROW]
[ROW][C]6[/C][C]13[/C][C]14.3424[/C][C]-1.34242[/C][/ROW]
[ROW][C]7[/C][C]19[/C][C]14.8382[/C][C]4.16181[/C][/ROW]
[ROW][C]8[/C][C]15[/C][C]16.6568[/C][C]-1.65684[/C][/ROW]
[ROW][C]9[/C][C]14[/C][C]15.6144[/C][C]-1.6144[/C][/ROW]
[ROW][C]10[/C][C]15[/C][C]13.8399[/C][C]1.16012[/C][/ROW]
[ROW][C]11[/C][C]16[/C][C]14.5244[/C][C]1.47559[/C][/ROW]
[ROW][C]12[/C][C]16[/C][C]15.9613[/C][C]0.0386548[/C][/ROW]
[ROW][C]13[/C][C]16[/C][C]14.9654[/C][C]1.03458[/C][/ROW]
[ROW][C]14[/C][C]16[/C][C]15.1306[/C][C]0.869405[/C][/ROW]
[ROW][C]15[/C][C]17[/C][C]17.7266[/C][C]-0.726605[/C][/ROW]
[ROW][C]16[/C][C]15[/C][C]15.0074[/C][C]-0.00736023[/C][/ROW]
[ROW][C]17[/C][C]15[/C][C]14.0333[/C][C]0.966689[/C][/ROW]
[ROW][C]18[/C][C]20[/C][C]16.0395[/C][C]3.96045[/C][/ROW]
[ROW][C]19[/C][C]18[/C][C]15.0942[/C][C]2.90581[/C][/ROW]
[ROW][C]20[/C][C]16[/C][C]15.1861[/C][C]0.813862[/C][/ROW]
[ROW][C]21[/C][C]16[/C][C]15.0015[/C][C]0.998463[/C][/ROW]
[ROW][C]22[/C][C]16[/C][C]14.5839[/C][C]1.41614[/C][/ROW]
[ROW][C]23[/C][C]19[/C][C]16.2269[/C][C]2.7731[/C][/ROW]
[ROW][C]24[/C][C]16[/C][C]14.6383[/C][C]1.36175[/C][/ROW]
[ROW][C]25[/C][C]17[/C][C]15.8416[/C][C]1.1584[/C][/ROW]
[ROW][C]26[/C][C]17[/C][C]15.8345[/C][C]1.16551[/C][/ROW]
[ROW][C]27[/C][C]16[/C][C]14.5294[/C][C]1.4706[/C][/ROW]
[ROW][C]28[/C][C]15[/C][C]16.4169[/C][C]-1.41693[/C][/ROW]
[ROW][C]29[/C][C]16[/C][C]15.2955[/C][C]0.704483[/C][/ROW]
[ROW][C]30[/C][C]14[/C][C]13.6174[/C][C]0.382606[/C][/ROW]
[ROW][C]31[/C][C]15[/C][C]15.3672[/C][C]-0.367231[/C][/ROW]
[ROW][C]32[/C][C]12[/C][C]12.1578[/C][C]-0.157795[/C][/ROW]
[ROW][C]33[/C][C]14[/C][C]14.467[/C][C]-0.467034[/C][/ROW]
[ROW][C]34[/C][C]16[/C][C]15.549[/C][C]0.450953[/C][/ROW]
[ROW][C]35[/C][C]14[/C][C]15.152[/C][C]-1.152[/C][/ROW]
[ROW][C]36[/C][C]10[/C][C]12.4548[/C][C]-2.45481[/C][/ROW]
[ROW][C]37[/C][C]10[/C][C]12.2908[/C][C]-2.2908[/C][/ROW]
[ROW][C]38[/C][C]14[/C][C]15.4429[/C][C]-1.44288[/C][/ROW]
[ROW][C]39[/C][C]16[/C][C]14.1126[/C][C]1.88743[/C][/ROW]
[ROW][C]40[/C][C]16[/C][C]14.0503[/C][C]1.9497[/C][/ROW]
[ROW][C]41[/C][C]16[/C][C]14.3599[/C][C]1.64008[/C][/ROW]
[ROW][C]42[/C][C]14[/C][C]15.4129[/C][C]-1.41291[/C][/ROW]
[ROW][C]43[/C][C]20[/C][C]17.4976[/C][C]2.50244[/C][/ROW]
[ROW][C]44[/C][C]14[/C][C]13.738[/C][C]0.262[/C][/ROW]
[ROW][C]45[/C][C]14[/C][C]14.139[/C][C]-0.139026[/C][/ROW]
[ROW][C]46[/C][C]11[/C][C]15.1506[/C][C]-4.15056[/C][/ROW]
[ROW][C]47[/C][C]14[/C][C]16.4191[/C][C]-2.4191[/C][/ROW]
[ROW][C]48[/C][C]15[/C][C]14.7812[/C][C]0.218766[/C][/ROW]
[ROW][C]49[/C][C]16[/C][C]15.1916[/C][C]0.808402[/C][/ROW]
[ROW][C]50[/C][C]14[/C][C]15.3615[/C][C]-1.36152[/C][/ROW]
[ROW][C]51[/C][C]16[/C][C]16.8537[/C][C]-0.85374[/C][/ROW]
[ROW][C]52[/C][C]14[/C][C]13.7317[/C][C]0.268311[/C][/ROW]
[ROW][C]53[/C][C]12[/C][C]14.6139[/C][C]-2.61387[/C][/ROW]
[ROW][C]54[/C][C]16[/C][C]15.5907[/C][C]0.40931[/C][/ROW]
[ROW][C]55[/C][C]9[/C][C]10.7137[/C][C]-1.71373[/C][/ROW]
[ROW][C]56[/C][C]14[/C][C]11.8326[/C][C]2.1674[/C][/ROW]
[ROW][C]57[/C][C]16[/C][C]15.6937[/C][C]0.306276[/C][/ROW]
[ROW][C]58[/C][C]16[/C][C]15.2304[/C][C]0.769644[/C][/ROW]
[ROW][C]59[/C][C]15[/C][C]14.823[/C][C]0.176995[/C][/ROW]
[ROW][C]60[/C][C]16[/C][C]13.7932[/C][C]2.20678[/C][/ROW]
[ROW][C]61[/C][C]12[/C][C]10.8367[/C][C]1.16327[/C][/ROW]
[ROW][C]62[/C][C]16[/C][C]15.4379[/C][C]0.562136[/C][/ROW]
[ROW][C]63[/C][C]16[/C][C]16.299[/C][C]-0.298987[/C][/ROW]
[ROW][C]64[/C][C]14[/C][C]14.4389[/C][C]-0.438888[/C][/ROW]
[ROW][C]65[/C][C]16[/C][C]15.15[/C][C]0.849956[/C][/ROW]
[ROW][C]66[/C][C]17[/C][C]15.7439[/C][C]1.25615[/C][/ROW]
[ROW][C]67[/C][C]18[/C][C]16.0903[/C][C]1.90965[/C][/ROW]
[ROW][C]68[/C][C]18[/C][C]14.0765[/C][C]3.92351[/C][/ROW]
[ROW][C]69[/C][C]12[/C][C]15.8085[/C][C]-3.80846[/C][/ROW]
[ROW][C]70[/C][C]16[/C][C]15.4728[/C][C]0.527152[/C][/ROW]
[ROW][C]71[/C][C]10[/C][C]13.0122[/C][C]-3.01225[/C][/ROW]
[ROW][C]72[/C][C]14[/C][C]14.7157[/C][C]-0.715666[/C][/ROW]
[ROW][C]73[/C][C]18[/C][C]16.838[/C][C]1.16201[/C][/ROW]
[ROW][C]74[/C][C]18[/C][C]17.1928[/C][C]0.807172[/C][/ROW]
[ROW][C]75[/C][C]16[/C][C]15.0095[/C][C]0.990531[/C][/ROW]
[ROW][C]76[/C][C]17[/C][C]13.0903[/C][C]3.90975[/C][/ROW]
[ROW][C]77[/C][C]16[/C][C]16.4072[/C][C]-0.407233[/C][/ROW]
[ROW][C]78[/C][C]16[/C][C]14.2123[/C][C]1.78772[/C][/ROW]
[ROW][C]79[/C][C]13[/C][C]14.9615[/C][C]-1.96149[/C][/ROW]
[ROW][C]80[/C][C]16[/C][C]15.0831[/C][C]0.916861[/C][/ROW]
[ROW][C]81[/C][C]16[/C][C]15.5361[/C][C]0.463901[/C][/ROW]
[ROW][C]82[/C][C]16[/C][C]15.6432[/C][C]0.356771[/C][/ROW]
[ROW][C]83[/C][C]15[/C][C]15.6202[/C][C]-0.620182[/C][/ROW]
[ROW][C]84[/C][C]15[/C][C]14.6861[/C][C]0.313856[/C][/ROW]
[ROW][C]85[/C][C]16[/C][C]13.8828[/C][C]2.11724[/C][/ROW]
[ROW][C]86[/C][C]14[/C][C]13.9518[/C][C]0.0482114[/C][/ROW]
[ROW][C]87[/C][C]16[/C][C]15.2331[/C][C]0.766906[/C][/ROW]
[ROW][C]88[/C][C]16[/C][C]14.6813[/C][C]1.3187[/C][/ROW]
[ROW][C]89[/C][C]15[/C][C]14.1033[/C][C]0.896662[/C][/ROW]
[ROW][C]90[/C][C]12[/C][C]13.6433[/C][C]-1.6433[/C][/ROW]
[ROW][C]91[/C][C]17[/C][C]16.8321[/C][C]0.167875[/C][/ROW]
[ROW][C]92[/C][C]16[/C][C]15.7295[/C][C]0.270515[/C][/ROW]
[ROW][C]93[/C][C]15[/C][C]14.9058[/C][C]0.0942077[/C][/ROW]
[ROW][C]94[/C][C]13[/C][C]14.8365[/C][C]-1.83646[/C][/ROW]
[ROW][C]95[/C][C]16[/C][C]14.698[/C][C]1.30197[/C][/ROW]
[ROW][C]96[/C][C]16[/C][C]15.6961[/C][C]0.303922[/C][/ROW]
[ROW][C]97[/C][C]16[/C][C]13.4833[/C][C]2.51672[/C][/ROW]
[ROW][C]98[/C][C]16[/C][C]15.83[/C][C]0.169958[/C][/ROW]
[ROW][C]99[/C][C]14[/C][C]14.2661[/C][C]-0.266126[/C][/ROW]
[ROW][C]100[/C][C]16[/C][C]17.1941[/C][C]-1.19409[/C][/ROW]
[ROW][C]101[/C][C]16[/C][C]14.5059[/C][C]1.4941[/C][/ROW]
[ROW][C]102[/C][C]20[/C][C]17.5791[/C][C]2.4209[/C][/ROW]
[ROW][C]103[/C][C]15[/C][C]14.0226[/C][C]0.977354[/C][/ROW]
[ROW][C]104[/C][C]16[/C][C]14.8384[/C][C]1.16162[/C][/ROW]
[ROW][C]105[/C][C]13[/C][C]14.7124[/C][C]-1.71244[/C][/ROW]
[ROW][C]106[/C][C]17[/C][C]15.7604[/C][C]1.23956[/C][/ROW]
[ROW][C]107[/C][C]16[/C][C]15.7721[/C][C]0.227935[/C][/ROW]
[ROW][C]108[/C][C]16[/C][C]14.2326[/C][C]1.7674[/C][/ROW]
[ROW][C]109[/C][C]12[/C][C]12.0025[/C][C]-0.00248027[/C][/ROW]
[ROW][C]110[/C][C]16[/C][C]15.1718[/C][C]0.828161[/C][/ROW]
[ROW][C]111[/C][C]16[/C][C]15.9385[/C][C]0.061512[/C][/ROW]
[ROW][C]112[/C][C]17[/C][C]14.8625[/C][C]2.13747[/C][/ROW]
[ROW][C]113[/C][C]13[/C][C]14.5286[/C][C]-1.52864[/C][/ROW]
[ROW][C]114[/C][C]12[/C][C]14.6146[/C][C]-2.61457[/C][/ROW]
[ROW][C]115[/C][C]18[/C][C]16.2765[/C][C]1.72355[/C][/ROW]
[ROW][C]116[/C][C]14[/C][C]15.9505[/C][C]-1.95048[/C][/ROW]
[ROW][C]117[/C][C]14[/C][C]12.9925[/C][C]1.00754[/C][/ROW]
[ROW][C]118[/C][C]13[/C][C]14.7858[/C][C]-1.78582[/C][/ROW]
[ROW][C]119[/C][C]16[/C][C]15.5145[/C][C]0.485542[/C][/ROW]
[ROW][C]120[/C][C]13[/C][C]14.373[/C][C]-1.37303[/C][/ROW]
[ROW][C]121[/C][C]16[/C][C]15.4073[/C][C]0.59273[/C][/ROW]
[ROW][C]122[/C][C]13[/C][C]15.9001[/C][C]-2.90015[/C][/ROW]
[ROW][C]123[/C][C]16[/C][C]17.0738[/C][C]-1.0738[/C][/ROW]
[ROW][C]124[/C][C]15[/C][C]15.9986[/C][C]-0.998565[/C][/ROW]
[ROW][C]125[/C][C]16[/C][C]16.9218[/C][C]-0.921756[/C][/ROW]
[ROW][C]126[/C][C]15[/C][C]14.7501[/C][C]0.249853[/C][/ROW]
[ROW][C]127[/C][C]17[/C][C]15.7672[/C][C]1.23279[/C][/ROW]
[ROW][C]128[/C][C]15[/C][C]14.0042[/C][C]0.995768[/C][/ROW]
[ROW][C]129[/C][C]12[/C][C]14.7456[/C][C]-2.7456[/C][/ROW]
[ROW][C]130[/C][C]16[/C][C]13.9018[/C][C]2.09818[/C][/ROW]
[ROW][C]131[/C][C]10[/C][C]13.49[/C][C]-3.49002[/C][/ROW]
[ROW][C]132[/C][C]16[/C][C]13.4847[/C][C]2.51527[/C][/ROW]
[ROW][C]133[/C][C]12[/C][C]14.1319[/C][C]-2.1319[/C][/ROW]
[ROW][C]134[/C][C]14[/C][C]15.6892[/C][C]-1.68916[/C][/ROW]
[ROW][C]135[/C][C]15[/C][C]15.135[/C][C]-0.134953[/C][/ROW]
[ROW][C]136[/C][C]13[/C][C]11.8799[/C][C]1.12013[/C][/ROW]
[ROW][C]137[/C][C]15[/C][C]14.5407[/C][C]0.459324[/C][/ROW]
[ROW][C]138[/C][C]11[/C][C]13.364[/C][C]-2.36396[/C][/ROW]
[ROW][C]139[/C][C]12[/C][C]12.9949[/C][C]-0.994872[/C][/ROW]
[ROW][C]140[/C][C]11[/C][C]13.2798[/C][C]-2.27977[/C][/ROW]
[ROW][C]141[/C][C]16[/C][C]12.8707[/C][C]3.12933[/C][/ROW]
[ROW][C]142[/C][C]15[/C][C]13.5778[/C][C]1.4222[/C][/ROW]
[ROW][C]143[/C][C]17[/C][C]17.0126[/C][C]-0.0126297[/C][/ROW]
[ROW][C]144[/C][C]16[/C][C]14.2177[/C][C]1.78228[/C][/ROW]
[ROW][C]145[/C][C]10[/C][C]13.3076[/C][C]-3.30765[/C][/ROW]
[ROW][C]146[/C][C]18[/C][C]15.7108[/C][C]2.28918[/C][/ROW]
[ROW][C]147[/C][C]13[/C][C]15.0575[/C][C]-2.05752[/C][/ROW]
[ROW][C]148[/C][C]16[/C][C]14.9198[/C][C]1.08019[/C][/ROW]
[ROW][C]149[/C][C]13[/C][C]12.6378[/C][C]0.362236[/C][/ROW]
[ROW][C]150[/C][C]10[/C][C]12.8783[/C][C]-2.87833[/C][/ROW]
[ROW][C]151[/C][C]15[/C][C]16.155[/C][C]-1.15504[/C][/ROW]
[ROW][C]152[/C][C]16[/C][C]13.9924[/C][C]2.00764[/C][/ROW]
[ROW][C]153[/C][C]16[/C][C]11.704[/C][C]4.29595[/C][/ROW]
[ROW][C]154[/C][C]14[/C][C]12.25[/C][C]1.75003[/C][/ROW]
[ROW][C]155[/C][C]10[/C][C]12.3106[/C][C]-2.31063[/C][/ROW]
[ROW][C]156[/C][C]17[/C][C]16.8321[/C][C]0.167875[/C][/ROW]
[ROW][C]157[/C][C]13[/C][C]11.5695[/C][C]1.43046[/C][/ROW]
[ROW][C]158[/C][C]15[/C][C]14.0042[/C][C]0.995768[/C][/ROW]
[ROW][C]159[/C][C]16[/C][C]14.6714[/C][C]1.3286[/C][/ROW]
[ROW][C]160[/C][C]12[/C][C]12.5737[/C][C]-0.573652[/C][/ROW]
[ROW][C]161[/C][C]13[/C][C]12.6006[/C][C]0.399396[/C][/ROW]
[ROW][C]162[/C][C]13[/C][C]12.4666[/C][C]0.533449[/C][/ROW]
[ROW][C]163[/C][C]12[/C][C]12.3882[/C][C]-0.388161[/C][/ROW]
[ROW][C]164[/C][C]17[/C][C]16.5738[/C][C]0.42621[/C][/ROW]
[ROW][C]165[/C][C]15[/C][C]13.6726[/C][C]1.3274[/C][/ROW]
[ROW][C]166[/C][C]10[/C][C]11.4207[/C][C]-1.42067[/C][/ROW]
[ROW][C]167[/C][C]14[/C][C]14.4692[/C][C]-0.469162[/C][/ROW]
[ROW][C]168[/C][C]11[/C][C]14.291[/C][C]-3.29099[/C][/ROW]
[ROW][C]169[/C][C]13[/C][C]14.8483[/C][C]-1.84829[/C][/ROW]
[ROW][C]170[/C][C]16[/C][C]14.4309[/C][C]1.56913[/C][/ROW]
[ROW][C]171[/C][C]12[/C][C]10.3653[/C][C]1.63469[/C][/ROW]
[ROW][C]172[/C][C]16[/C][C]15.7059[/C][C]0.294052[/C][/ROW]
[ROW][C]173[/C][C]12[/C][C]13.9884[/C][C]-1.98839[/C][/ROW]
[ROW][C]174[/C][C]9[/C][C]11.312[/C][C]-2.31203[/C][/ROW]
[ROW][C]175[/C][C]12[/C][C]15.2886[/C][C]-3.28859[/C][/ROW]
[ROW][C]176[/C][C]15[/C][C]14.7442[/C][C]0.255787[/C][/ROW]
[ROW][C]177[/C][C]12[/C][C]12.2633[/C][C]-0.263297[/C][/ROW]
[ROW][C]178[/C][C]12[/C][C]12.6879[/C][C]-0.687935[/C][/ROW]
[ROW][C]179[/C][C]14[/C][C]14.0621[/C][C]-0.0621066[/C][/ROW]
[ROW][C]180[/C][C]12[/C][C]13.4763[/C][C]-1.47627[/C][/ROW]
[ROW][C]181[/C][C]16[/C][C]15.434[/C][C]0.565952[/C][/ROW]
[ROW][C]182[/C][C]11[/C][C]11.5217[/C][C]-0.521749[/C][/ROW]
[ROW][C]183[/C][C]19[/C][C]17.1605[/C][C]1.83954[/C][/ROW]
[ROW][C]184[/C][C]15[/C][C]15.5206[/C][C]-0.52061[/C][/ROW]
[ROW][C]185[/C][C]8[/C][C]14.7663[/C][C]-6.76629[/C][/ROW]
[ROW][C]186[/C][C]16[/C][C]14.9681[/C][C]1.03191[/C][/ROW]
[ROW][C]187[/C][C]17[/C][C]14.7477[/C][C]2.25232[/C][/ROW]
[ROW][C]188[/C][C]12[/C][C]12.5418[/C][C]-0.541803[/C][/ROW]
[ROW][C]189[/C][C]11[/C][C]11.527[/C][C]-0.526968[/C][/ROW]
[ROW][C]190[/C][C]11[/C][C]10.2993[/C][C]0.700678[/C][/ROW]
[ROW][C]191[/C][C]14[/C][C]15.0449[/C][C]-1.0449[/C][/ROW]
[ROW][C]192[/C][C]16[/C][C]15.8549[/C][C]0.145076[/C][/ROW]
[ROW][C]193[/C][C]12[/C][C]9.658[/C][C]2.342[/C][/ROW]
[ROW][C]194[/C][C]16[/C][C]14.3005[/C][C]1.69949[/C][/ROW]
[ROW][C]195[/C][C]13[/C][C]13.916[/C][C]-0.915985[/C][/ROW]
[ROW][C]196[/C][C]15[/C][C]15.3686[/C][C]-0.368634[/C][/ROW]
[ROW][C]197[/C][C]16[/C][C]13.0983[/C][C]2.90166[/C][/ROW]
[ROW][C]198[/C][C]16[/C][C]15.313[/C][C]0.68703[/C][/ROW]
[ROW][C]199[/C][C]14[/C][C]12.4875[/C][C]1.51254[/C][/ROW]
[ROW][C]200[/C][C]16[/C][C]14.7706[/C][C]1.22942[/C][/ROW]
[ROW][C]201[/C][C]16[/C][C]14.1954[/C][C]1.80461[/C][/ROW]
[ROW][C]202[/C][C]14[/C][C]13.5653[/C][C]0.434739[/C][/ROW]
[ROW][C]203[/C][C]11[/C][C]13.7623[/C][C]-2.7623[/C][/ROW]
[ROW][C]204[/C][C]12[/C][C]14.9166[/C][C]-2.91657[/C][/ROW]
[ROW][C]205[/C][C]15[/C][C]12.9697[/C][C]2.03033[/C][/ROW]
[ROW][C]206[/C][C]15[/C][C]14.837[/C][C]0.163036[/C][/ROW]
[ROW][C]207[/C][C]16[/C][C]14.847[/C][C]1.15297[/C][/ROW]
[ROW][C]208[/C][C]16[/C][C]15.4339[/C][C]0.566051[/C][/ROW]
[ROW][C]209[/C][C]11[/C][C]13.9168[/C][C]-2.91676[/C][/ROW]
[ROW][C]210[/C][C]15[/C][C]14.3032[/C][C]0.696841[/C][/ROW]
[ROW][C]211[/C][C]12[/C][C]14.5075[/C][C]-2.50749[/C][/ROW]
[ROW][C]212[/C][C]12[/C][C]16.2897[/C][C]-4.28968[/C][/ROW]
[ROW][C]213[/C][C]15[/C][C]14.3092[/C][C]0.69083[/C][/ROW]
[ROW][C]214[/C][C]15[/C][C]12.1675[/C][C]2.8325[/C][/ROW]
[ROW][C]215[/C][C]16[/C][C]14.8833[/C][C]1.11671[/C][/ROW]
[ROW][C]216[/C][C]14[/C][C]13.4208[/C][C]0.579212[/C][/ROW]
[ROW][C]217[/C][C]17[/C][C]15.0627[/C][C]1.93734[/C][/ROW]
[ROW][C]218[/C][C]14[/C][C]14.3279[/C][C]-0.327917[/C][/ROW]
[ROW][C]219[/C][C]13[/C][C]11.9903[/C][C]1.00971[/C][/ROW]
[ROW][C]220[/C][C]15[/C][C]15.6159[/C][C]-0.615892[/C][/ROW]
[ROW][C]221[/C][C]13[/C][C]15.0225[/C][C]-2.02249[/C][/ROW]
[ROW][C]222[/C][C]14[/C][C]14.5733[/C][C]-0.573303[/C][/ROW]
[ROW][C]223[/C][C]15[/C][C]14.5664[/C][C]0.433554[/C][/ROW]
[ROW][C]224[/C][C]12[/C][C]13.4585[/C][C]-1.45853[/C][/ROW]
[ROW][C]225[/C][C]13[/C][C]12.8043[/C][C]0.195719[/C][/ROW]
[ROW][C]226[/C][C]8[/C][C]11.9669[/C][C]-3.96687[/C][/ROW]
[ROW][C]227[/C][C]14[/C][C]14.3097[/C][C]-0.309683[/C][/ROW]
[ROW][C]228[/C][C]14[/C][C]13.2737[/C][C]0.726256[/C][/ROW]
[ROW][C]229[/C][C]11[/C][C]12.3433[/C][C]-1.34327[/C][/ROW]
[ROW][C]230[/C][C]12[/C][C]13.161[/C][C]-1.161[/C][/ROW]
[ROW][C]231[/C][C]13[/C][C]11.4799[/C][C]1.52007[/C][/ROW]
[ROW][C]232[/C][C]10[/C][C]13.465[/C][C]-3.46504[/C][/ROW]
[ROW][C]233[/C][C]16[/C][C]11.7005[/C][C]4.29955[/C][/ROW]
[ROW][C]234[/C][C]18[/C][C]16.4559[/C][C]1.54413[/C][/ROW]
[ROW][C]235[/C][C]13[/C][C]14.3054[/C][C]-1.3054[/C][/ROW]
[ROW][C]236[/C][C]11[/C][C]13.6549[/C][C]-2.65492[/C][/ROW]
[ROW][C]237[/C][C]4[/C][C]11.17[/C][C]-7.17003[/C][/ROW]
[ROW][C]238[/C][C]13[/C][C]14.8152[/C][C]-1.81521[/C][/ROW]
[ROW][C]239[/C][C]16[/C][C]14.5924[/C][C]1.40764[/C][/ROW]
[ROW][C]240[/C][C]10[/C][C]11.9287[/C][C]-1.92873[/C][/ROW]
[ROW][C]241[/C][C]12[/C][C]12.4072[/C][C]-0.407197[/C][/ROW]
[ROW][C]242[/C][C]12[/C][C]13.7956[/C][C]-1.7956[/C][/ROW]
[ROW][C]243[/C][C]10[/C][C]8.88634[/C][C]1.11366[/C][/ROW]
[ROW][C]244[/C][C]13[/C][C]11.277[/C][C]1.72299[/C][/ROW]
[ROW][C]245[/C][C]15[/C][C]14.0926[/C][C]0.907373[/C][/ROW]
[ROW][C]246[/C][C]12[/C][C]12.0468[/C][C]-0.0467702[/C][/ROW]
[ROW][C]247[/C][C]14[/C][C]13.1539[/C][C]0.846117[/C][/ROW]
[ROW][C]248[/C][C]10[/C][C]12.8903[/C][C]-2.89029[/C][/ROW]
[ROW][C]249[/C][C]12[/C][C]10.801[/C][C]1.19903[/C][/ROW]
[ROW][C]250[/C][C]12[/C][C]11.8839[/C][C]0.116066[/C][/ROW]
[ROW][C]251[/C][C]11[/C][C]12.1379[/C][C]-1.13792[/C][/ROW]
[ROW][C]252[/C][C]10[/C][C]11.8623[/C][C]-1.86226[/C][/ROW]
[ROW][C]253[/C][C]12[/C][C]11.6631[/C][C]0.336856[/C][/ROW]
[ROW][C]254[/C][C]16[/C][C]13.1782[/C][C]2.82178[/C][/ROW]
[ROW][C]255[/C][C]12[/C][C]13.7152[/C][C]-1.71521[/C][/ROW]
[ROW][C]256[/C][C]14[/C][C]14.2641[/C][C]-0.264088[/C][/ROW]
[ROW][C]257[/C][C]16[/C][C]14.6812[/C][C]1.31881[/C][/ROW]
[ROW][C]258[/C][C]14[/C][C]11.8239[/C][C]2.17607[/C][/ROW]
[ROW][C]259[/C][C]13[/C][C]14.7816[/C][C]-1.78164[/C][/ROW]
[ROW][C]260[/C][C]4[/C][C]9.48331[/C][C]-5.48331[/C][/ROW]
[ROW][C]261[/C][C]15[/C][C]14.1744[/C][C]0.825633[/C][/ROW]
[ROW][C]262[/C][C]11[/C][C]15.5502[/C][C]-4.55021[/C][/ROW]
[ROW][C]263[/C][C]11[/C][C]11.4716[/C][C]-0.471645[/C][/ROW]
[ROW][C]264[/C][C]14[/C][C]13.1673[/C][C]0.832709[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=221981&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=221981&T=4

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


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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
11315.7169-2.71693
21615.30460.695355
31916.53422.46577
41511.24323.7568
51415.8897-1.88969
61314.3424-1.34242
71914.83824.16181
81516.6568-1.65684
91415.6144-1.6144
101513.83991.16012
111614.52441.47559
121615.96130.0386548
131614.96541.03458
141615.13060.869405
151717.7266-0.726605
161515.0074-0.00736023
171514.03330.966689
182016.03953.96045
191815.09422.90581
201615.18610.813862
211615.00150.998463
221614.58391.41614
231916.22692.7731
241614.63831.36175
251715.84161.1584
261715.83451.16551
271614.52941.4706
281516.4169-1.41693
291615.29550.704483
301413.61740.382606
311515.3672-0.367231
321212.1578-0.157795
331414.467-0.467034
341615.5490.450953
351415.152-1.152
361012.4548-2.45481
371012.2908-2.2908
381415.4429-1.44288
391614.11261.88743
401614.05031.9497
411614.35991.64008
421415.4129-1.41291
432017.49762.50244
441413.7380.262
451414.139-0.139026
461115.1506-4.15056
471416.4191-2.4191
481514.78120.218766
491615.19160.808402
501415.3615-1.36152
511616.8537-0.85374
521413.73170.268311
531214.6139-2.61387
541615.59070.40931
55910.7137-1.71373
561411.83262.1674
571615.69370.306276
581615.23040.769644
591514.8230.176995
601613.79322.20678
611210.83671.16327
621615.43790.562136
631616.299-0.298987
641414.4389-0.438888
651615.150.849956
661715.74391.25615
671816.09031.90965
681814.07653.92351
691215.8085-3.80846
701615.47280.527152
711013.0122-3.01225
721414.7157-0.715666
731816.8381.16201
741817.19280.807172
751615.00950.990531
761713.09033.90975
771616.4072-0.407233
781614.21231.78772
791314.9615-1.96149
801615.08310.916861
811615.53610.463901
821615.64320.356771
831515.6202-0.620182
841514.68610.313856
851613.88282.11724
861413.95180.0482114
871615.23310.766906
881614.68131.3187
891514.10330.896662
901213.6433-1.6433
911716.83210.167875
921615.72950.270515
931514.90580.0942077
941314.8365-1.83646
951614.6981.30197
961615.69610.303922
971613.48332.51672
981615.830.169958
991414.2661-0.266126
1001617.1941-1.19409
1011614.50591.4941
1022017.57912.4209
1031514.02260.977354
1041614.83841.16162
1051314.7124-1.71244
1061715.76041.23956
1071615.77210.227935
1081614.23261.7674
1091212.0025-0.00248027
1101615.17180.828161
1111615.93850.061512
1121714.86252.13747
1131314.5286-1.52864
1141214.6146-2.61457
1151816.27651.72355
1161415.9505-1.95048
1171412.99251.00754
1181314.7858-1.78582
1191615.51450.485542
1201314.373-1.37303
1211615.40730.59273
1221315.9001-2.90015
1231617.0738-1.0738
1241515.9986-0.998565
1251616.9218-0.921756
1261514.75010.249853
1271715.76721.23279
1281514.00420.995768
1291214.7456-2.7456
1301613.90182.09818
1311013.49-3.49002
1321613.48472.51527
1331214.1319-2.1319
1341415.6892-1.68916
1351515.135-0.134953
1361311.87991.12013
1371514.54070.459324
1381113.364-2.36396
1391212.9949-0.994872
1401113.2798-2.27977
1411612.87073.12933
1421513.57781.4222
1431717.0126-0.0126297
1441614.21771.78228
1451013.3076-3.30765
1461815.71082.28918
1471315.0575-2.05752
1481614.91981.08019
1491312.63780.362236
1501012.8783-2.87833
1511516.155-1.15504
1521613.99242.00764
1531611.7044.29595
1541412.251.75003
1551012.3106-2.31063
1561716.83210.167875
1571311.56951.43046
1581514.00420.995768
1591614.67141.3286
1601212.5737-0.573652
1611312.60060.399396
1621312.46660.533449
1631212.3882-0.388161
1641716.57380.42621
1651513.67261.3274
1661011.4207-1.42067
1671414.4692-0.469162
1681114.291-3.29099
1691314.8483-1.84829
1701614.43091.56913
1711210.36531.63469
1721615.70590.294052
1731213.9884-1.98839
174911.312-2.31203
1751215.2886-3.28859
1761514.74420.255787
1771212.2633-0.263297
1781212.6879-0.687935
1791414.0621-0.0621066
1801213.4763-1.47627
1811615.4340.565952
1821111.5217-0.521749
1831917.16051.83954
1841515.5206-0.52061
185814.7663-6.76629
1861614.96811.03191
1871714.74772.25232
1881212.5418-0.541803
1891111.527-0.526968
1901110.29930.700678
1911415.0449-1.0449
1921615.85490.145076
193129.6582.342
1941614.30051.69949
1951313.916-0.915985
1961515.3686-0.368634
1971613.09832.90166
1981615.3130.68703
1991412.48751.51254
2001614.77061.22942
2011614.19541.80461
2021413.56530.434739
2031113.7623-2.7623
2041214.9166-2.91657
2051512.96972.03033
2061514.8370.163036
2071614.8471.15297
2081615.43390.566051
2091113.9168-2.91676
2101514.30320.696841
2111214.5075-2.50749
2121216.2897-4.28968
2131514.30920.69083
2141512.16752.8325
2151614.88331.11671
2161413.42080.579212
2171715.06271.93734
2181414.3279-0.327917
2191311.99031.00971
2201515.6159-0.615892
2211315.0225-2.02249
2221414.5733-0.573303
2231514.56640.433554
2241213.4585-1.45853
2251312.80430.195719
226811.9669-3.96687
2271414.3097-0.309683
2281413.27370.726256
2291112.3433-1.34327
2301213.161-1.161
2311311.47991.52007
2321013.465-3.46504
2331611.70054.29955
2341816.45591.54413
2351314.3054-1.3054
2361113.6549-2.65492
237411.17-7.17003
2381314.8152-1.81521
2391614.59241.40764
2401011.9287-1.92873
2411212.4072-0.407197
2421213.7956-1.7956
243108.886341.11366
2441311.2771.72299
2451514.09260.907373
2461212.0468-0.0467702
2471413.15390.846117
2481012.8903-2.89029
2491210.8011.19903
2501211.88390.116066
2511112.1379-1.13792
2521011.8623-1.86226
2531211.66310.336856
2541613.17822.82178
2551213.7152-1.71521
2561414.2641-0.264088
2571614.68121.31881
2581411.82392.17607
2591314.7816-1.78164
26049.48331-5.48331
2611514.17440.825633
2621115.5502-4.55021
2631111.4716-0.471645
2641413.16730.832709






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.234450.4688990.76555
120.1202940.2405870.879706
130.08155420.1631080.918446
140.1028750.205750.897125
150.0587520.1175040.941248
160.03916870.07833730.960831
170.06301910.1260380.936981
180.2558640.5117290.744136
190.1942170.3884330.805783
200.1377650.275530.862235
210.09860630.1972130.901394
220.09685340.1937070.903147
230.2570540.5141090.742946
240.3214950.6429910.678505
250.294870.5897390.70513
260.2774480.5548960.722552
270.3520990.7041980.647901
280.363850.7276990.63615
290.3467860.6935710.653214
300.3808980.7617970.619102
310.3286760.6573520.671324
320.2894930.5789860.710507
330.2624910.5249820.737509
340.2263040.4526090.773696
350.1878810.3757610.812119
360.304930.609860.69507
370.3349710.6699420.665029
380.3259640.6519270.674036
390.3560230.7120450.643977
400.3342090.6684190.665791
410.2980010.5960030.701999
420.2638360.5276710.736164
430.2782740.5565490.721726
440.2365370.4730730.763463
450.2144420.4288850.785558
460.392690.7853790.60731
470.5455190.9089620.454481
480.4965490.9930980.503451
490.4832160.9664320.516784
500.468390.936780.53161
510.4236720.8473430.576328
520.3781690.7563380.621831
530.3866040.7732070.613396
540.369710.7394190.63029
550.3609380.7218750.639062
560.3393850.678770.660615
570.2997780.5995560.700222
580.2711580.5423150.728842
590.2366940.4733890.763306
600.2424590.4849170.757541
610.218650.43730.78135
620.1917360.3834710.808264
630.1637320.3274640.836268
640.1379790.2759580.862021
650.1190740.2381480.880926
660.1102290.2204580.889771
670.1059860.2119720.894014
680.2230590.4461170.776941
690.3130390.6260780.686961
700.2821430.5642850.717857
710.3979020.7958050.602098
720.3598980.7197960.640102
730.3515650.7031290.648435
740.3361970.6723940.663803
750.3040240.6080480.695976
760.3695450.7390890.630455
770.3338180.6676360.666182
780.3129770.6259540.687023
790.3260570.6521130.673943
800.2984780.5969570.701522
810.2703420.5406840.729658
820.2394460.4788920.760554
830.215140.4302790.78486
840.1879140.3758270.812086
850.1846070.3692140.815393
860.1595730.3191450.840427
870.1403230.2806450.859677
880.1307390.2614780.869261
890.1129760.2259530.887024
900.1102030.2204060.889797
910.09429190.1885840.905708
920.08142410.1628480.918576
930.06916220.1383240.930838
940.07105060.1421010.928949
950.06420480.128410.935795
960.05379760.1075950.946202
970.05943150.1188630.940568
980.04922710.09845410.950773
990.04036380.08072760.959636
1000.0353150.070630.964685
1010.031330.062660.96867
1020.03688210.07376410.963118
1030.03165140.06330280.968349
1040.02858590.05717180.971414
1050.03381710.06763430.966183
1060.02971710.05943420.970283
1070.02413310.04826620.975867
1080.02400790.04801580.975992
1090.01945150.0389030.980548
1100.01591370.03182730.984086
1110.01261470.02522930.987385
1120.01303810.02607630.986962
1130.01164520.02329040.988355
1140.01672070.03344130.983279
1150.0159710.0319420.984029
1160.01528120.03056240.984719
1170.0126390.02527810.987361
1180.0126220.02524390.987378
1190.01026120.02052240.989739
1200.009038030.01807610.990962
1210.007353570.01470710.992646
1220.01131960.02263910.98868
1230.00953850.0190770.990462
1240.008473120.01694620.991527
1250.006935560.01387110.993064
1260.005650420.01130080.99435
1270.005087160.01017430.994913
1280.004098790.008197590.995901
1290.006048870.01209770.993951
1300.006553240.01310650.993447
1310.01354030.02708060.98646
1320.01629870.03259750.983701
1330.01758240.03516470.982418
1340.01698330.03396670.983017
1350.01388040.02776070.98612
1360.01171230.02342470.988288
1370.009374640.01874930.990625
1380.01141690.02283380.988583
1390.009937140.01987430.990063
1400.01129280.02258560.988707
1410.01751660.03503310.982483
1420.0159290.03185790.984071
1430.01268320.02536630.987317
1440.01344580.02689170.986554
1450.02564030.05128060.97436
1460.03141840.06283680.968582
1470.03297960.06595920.96702
1480.02977340.05954680.970227
1490.02481270.04962550.975187
1500.03443620.06887250.965564
1510.02971240.05942480.970288
1520.03128070.06256130.968719
1530.06388040.1277610.93612
1540.06276140.1255230.937239
1550.07217480.144350.927825
1560.06174790.1234960.938252
1570.05516290.1103260.944837
1580.04827040.09654080.95173
1590.04722610.09445220.952774
1600.0404930.08098610.959507
1610.03341240.06682490.966588
1620.02746680.05493360.972533
1630.02287570.04575130.977124
1640.01929640.03859280.980704
1650.01693540.03387070.983065
1660.01718430.03436860.982816
1670.01380760.02761520.986192
1680.02037360.04074720.979626
1690.02019290.04038580.979807
1700.0188580.0377160.981142
1710.0181350.03626990.981865
1720.01469420.02938840.985306
1730.01474230.02948460.985258
1740.01642260.03284520.983577
1750.02194950.04389890.978051
1760.01765320.03530630.982347
1770.01438270.02876540.985617
1780.01174270.02348550.988257
1790.009192160.01838430.990808
1800.008005360.01601070.991995
1810.00660360.01320720.993396
1820.005345220.01069040.994655
1830.005609370.01121870.994391
1840.004436470.008872950.995564
1850.09408650.1881730.905913
1860.08168460.1633690.918315
1870.0928440.1856880.907156
1880.08021270.1604250.919787
1890.06795960.1359190.93204
1900.05635610.1127120.943644
1910.04971120.09942230.950289
1920.04196120.08392240.958039
1930.04871550.09743110.951284
1940.05228910.1045780.947711
1950.04438120.08876230.955619
1960.03702630.07405270.962974
1970.04831570.09663140.951684
1980.03958630.07917260.960414
1990.03670120.07340230.963299
2000.03103990.06207970.96896
2010.0292220.05844390.970778
2020.02438060.04876110.975619
2030.03130540.06261070.968695
2040.03568030.07136060.96432
2050.03890630.07781270.961094
2060.03087920.06175830.969121
2070.03034220.06068440.969658
2080.02494990.04989970.97505
2090.02786810.05573630.972132
2100.02254170.04508350.977458
2110.02497750.04995510.975022
2120.03997350.0799470.960026
2130.03158710.06317420.968413
2140.04415890.08831790.955841
2150.03805930.07611860.961941
2160.02975080.05950170.970249
2170.03219550.06439110.967804
2180.02752950.0550590.972471
2190.02474180.04948360.975258
2200.01896340.03792680.981037
2210.01689470.03378950.983105
2220.01242060.02484130.987579
2230.009311740.01862350.990688
2240.007502120.01500420.992498
2250.006547060.01309410.993453
2260.01499520.02999040.985005
2270.01154160.02308320.988458
2280.008350320.01670060.99165
2290.006096830.01219370.993903
2300.004410360.008820730.99559
2310.004394610.008789230.995605
2320.008144980.016290.991855
2330.03775650.07551310.962243
2340.05429420.1085880.945706
2350.04050660.08101320.959493
2360.03611010.07222020.96389
2370.2465060.4930110.753494
2380.2007820.4015640.799218
2390.1800440.3600890.819956
2400.1421290.2842570.857871
2410.1137070.2274150.886293
2420.09453010.189060.90547
2430.08790230.1758050.912098
2440.153550.3071010.84645
2450.137630.2752610.86237
2460.1101090.2202190.889891
2470.07777060.1555410.922229
2480.06669480.133390.933305
2490.06248880.1249780.937511
2500.0773810.1547620.922619
2510.0460550.092110.953945
2520.1122860.2245710.887714
2530.2349990.4699970.765001

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
11 & 0.23445 & 0.468899 & 0.76555 \tabularnewline
12 & 0.120294 & 0.240587 & 0.879706 \tabularnewline
13 & 0.0815542 & 0.163108 & 0.918446 \tabularnewline
14 & 0.102875 & 0.20575 & 0.897125 \tabularnewline
15 & 0.058752 & 0.117504 & 0.941248 \tabularnewline
16 & 0.0391687 & 0.0783373 & 0.960831 \tabularnewline
17 & 0.0630191 & 0.126038 & 0.936981 \tabularnewline
18 & 0.255864 & 0.511729 & 0.744136 \tabularnewline
19 & 0.194217 & 0.388433 & 0.805783 \tabularnewline
20 & 0.137765 & 0.27553 & 0.862235 \tabularnewline
21 & 0.0986063 & 0.197213 & 0.901394 \tabularnewline
22 & 0.0968534 & 0.193707 & 0.903147 \tabularnewline
23 & 0.257054 & 0.514109 & 0.742946 \tabularnewline
24 & 0.321495 & 0.642991 & 0.678505 \tabularnewline
25 & 0.29487 & 0.589739 & 0.70513 \tabularnewline
26 & 0.277448 & 0.554896 & 0.722552 \tabularnewline
27 & 0.352099 & 0.704198 & 0.647901 \tabularnewline
28 & 0.36385 & 0.727699 & 0.63615 \tabularnewline
29 & 0.346786 & 0.693571 & 0.653214 \tabularnewline
30 & 0.380898 & 0.761797 & 0.619102 \tabularnewline
31 & 0.328676 & 0.657352 & 0.671324 \tabularnewline
32 & 0.289493 & 0.578986 & 0.710507 \tabularnewline
33 & 0.262491 & 0.524982 & 0.737509 \tabularnewline
34 & 0.226304 & 0.452609 & 0.773696 \tabularnewline
35 & 0.187881 & 0.375761 & 0.812119 \tabularnewline
36 & 0.30493 & 0.60986 & 0.69507 \tabularnewline
37 & 0.334971 & 0.669942 & 0.665029 \tabularnewline
38 & 0.325964 & 0.651927 & 0.674036 \tabularnewline
39 & 0.356023 & 0.712045 & 0.643977 \tabularnewline
40 & 0.334209 & 0.668419 & 0.665791 \tabularnewline
41 & 0.298001 & 0.596003 & 0.701999 \tabularnewline
42 & 0.263836 & 0.527671 & 0.736164 \tabularnewline
43 & 0.278274 & 0.556549 & 0.721726 \tabularnewline
44 & 0.236537 & 0.473073 & 0.763463 \tabularnewline
45 & 0.214442 & 0.428885 & 0.785558 \tabularnewline
46 & 0.39269 & 0.785379 & 0.60731 \tabularnewline
47 & 0.545519 & 0.908962 & 0.454481 \tabularnewline
48 & 0.496549 & 0.993098 & 0.503451 \tabularnewline
49 & 0.483216 & 0.966432 & 0.516784 \tabularnewline
50 & 0.46839 & 0.93678 & 0.53161 \tabularnewline
51 & 0.423672 & 0.847343 & 0.576328 \tabularnewline
52 & 0.378169 & 0.756338 & 0.621831 \tabularnewline
53 & 0.386604 & 0.773207 & 0.613396 \tabularnewline
54 & 0.36971 & 0.739419 & 0.63029 \tabularnewline
55 & 0.360938 & 0.721875 & 0.639062 \tabularnewline
56 & 0.339385 & 0.67877 & 0.660615 \tabularnewline
57 & 0.299778 & 0.599556 & 0.700222 \tabularnewline
58 & 0.271158 & 0.542315 & 0.728842 \tabularnewline
59 & 0.236694 & 0.473389 & 0.763306 \tabularnewline
60 & 0.242459 & 0.484917 & 0.757541 \tabularnewline
61 & 0.21865 & 0.4373 & 0.78135 \tabularnewline
62 & 0.191736 & 0.383471 & 0.808264 \tabularnewline
63 & 0.163732 & 0.327464 & 0.836268 \tabularnewline
64 & 0.137979 & 0.275958 & 0.862021 \tabularnewline
65 & 0.119074 & 0.238148 & 0.880926 \tabularnewline
66 & 0.110229 & 0.220458 & 0.889771 \tabularnewline
67 & 0.105986 & 0.211972 & 0.894014 \tabularnewline
68 & 0.223059 & 0.446117 & 0.776941 \tabularnewline
69 & 0.313039 & 0.626078 & 0.686961 \tabularnewline
70 & 0.282143 & 0.564285 & 0.717857 \tabularnewline
71 & 0.397902 & 0.795805 & 0.602098 \tabularnewline
72 & 0.359898 & 0.719796 & 0.640102 \tabularnewline
73 & 0.351565 & 0.703129 & 0.648435 \tabularnewline
74 & 0.336197 & 0.672394 & 0.663803 \tabularnewline
75 & 0.304024 & 0.608048 & 0.695976 \tabularnewline
76 & 0.369545 & 0.739089 & 0.630455 \tabularnewline
77 & 0.333818 & 0.667636 & 0.666182 \tabularnewline
78 & 0.312977 & 0.625954 & 0.687023 \tabularnewline
79 & 0.326057 & 0.652113 & 0.673943 \tabularnewline
80 & 0.298478 & 0.596957 & 0.701522 \tabularnewline
81 & 0.270342 & 0.540684 & 0.729658 \tabularnewline
82 & 0.239446 & 0.478892 & 0.760554 \tabularnewline
83 & 0.21514 & 0.430279 & 0.78486 \tabularnewline
84 & 0.187914 & 0.375827 & 0.812086 \tabularnewline
85 & 0.184607 & 0.369214 & 0.815393 \tabularnewline
86 & 0.159573 & 0.319145 & 0.840427 \tabularnewline
87 & 0.140323 & 0.280645 & 0.859677 \tabularnewline
88 & 0.130739 & 0.261478 & 0.869261 \tabularnewline
89 & 0.112976 & 0.225953 & 0.887024 \tabularnewline
90 & 0.110203 & 0.220406 & 0.889797 \tabularnewline
91 & 0.0942919 & 0.188584 & 0.905708 \tabularnewline
92 & 0.0814241 & 0.162848 & 0.918576 \tabularnewline
93 & 0.0691622 & 0.138324 & 0.930838 \tabularnewline
94 & 0.0710506 & 0.142101 & 0.928949 \tabularnewline
95 & 0.0642048 & 0.12841 & 0.935795 \tabularnewline
96 & 0.0537976 & 0.107595 & 0.946202 \tabularnewline
97 & 0.0594315 & 0.118863 & 0.940568 \tabularnewline
98 & 0.0492271 & 0.0984541 & 0.950773 \tabularnewline
99 & 0.0403638 & 0.0807276 & 0.959636 \tabularnewline
100 & 0.035315 & 0.07063 & 0.964685 \tabularnewline
101 & 0.03133 & 0.06266 & 0.96867 \tabularnewline
102 & 0.0368821 & 0.0737641 & 0.963118 \tabularnewline
103 & 0.0316514 & 0.0633028 & 0.968349 \tabularnewline
104 & 0.0285859 & 0.0571718 & 0.971414 \tabularnewline
105 & 0.0338171 & 0.0676343 & 0.966183 \tabularnewline
106 & 0.0297171 & 0.0594342 & 0.970283 \tabularnewline
107 & 0.0241331 & 0.0482662 & 0.975867 \tabularnewline
108 & 0.0240079 & 0.0480158 & 0.975992 \tabularnewline
109 & 0.0194515 & 0.038903 & 0.980548 \tabularnewline
110 & 0.0159137 & 0.0318273 & 0.984086 \tabularnewline
111 & 0.0126147 & 0.0252293 & 0.987385 \tabularnewline
112 & 0.0130381 & 0.0260763 & 0.986962 \tabularnewline
113 & 0.0116452 & 0.0232904 & 0.988355 \tabularnewline
114 & 0.0167207 & 0.0334413 & 0.983279 \tabularnewline
115 & 0.015971 & 0.031942 & 0.984029 \tabularnewline
116 & 0.0152812 & 0.0305624 & 0.984719 \tabularnewline
117 & 0.012639 & 0.0252781 & 0.987361 \tabularnewline
118 & 0.012622 & 0.0252439 & 0.987378 \tabularnewline
119 & 0.0102612 & 0.0205224 & 0.989739 \tabularnewline
120 & 0.00903803 & 0.0180761 & 0.990962 \tabularnewline
121 & 0.00735357 & 0.0147071 & 0.992646 \tabularnewline
122 & 0.0113196 & 0.0226391 & 0.98868 \tabularnewline
123 & 0.0095385 & 0.019077 & 0.990462 \tabularnewline
124 & 0.00847312 & 0.0169462 & 0.991527 \tabularnewline
125 & 0.00693556 & 0.0138711 & 0.993064 \tabularnewline
126 & 0.00565042 & 0.0113008 & 0.99435 \tabularnewline
127 & 0.00508716 & 0.0101743 & 0.994913 \tabularnewline
128 & 0.00409879 & 0.00819759 & 0.995901 \tabularnewline
129 & 0.00604887 & 0.0120977 & 0.993951 \tabularnewline
130 & 0.00655324 & 0.0131065 & 0.993447 \tabularnewline
131 & 0.0135403 & 0.0270806 & 0.98646 \tabularnewline
132 & 0.0162987 & 0.0325975 & 0.983701 \tabularnewline
133 & 0.0175824 & 0.0351647 & 0.982418 \tabularnewline
134 & 0.0169833 & 0.0339667 & 0.983017 \tabularnewline
135 & 0.0138804 & 0.0277607 & 0.98612 \tabularnewline
136 & 0.0117123 & 0.0234247 & 0.988288 \tabularnewline
137 & 0.00937464 & 0.0187493 & 0.990625 \tabularnewline
138 & 0.0114169 & 0.0228338 & 0.988583 \tabularnewline
139 & 0.00993714 & 0.0198743 & 0.990063 \tabularnewline
140 & 0.0112928 & 0.0225856 & 0.988707 \tabularnewline
141 & 0.0175166 & 0.0350331 & 0.982483 \tabularnewline
142 & 0.015929 & 0.0318579 & 0.984071 \tabularnewline
143 & 0.0126832 & 0.0253663 & 0.987317 \tabularnewline
144 & 0.0134458 & 0.0268917 & 0.986554 \tabularnewline
145 & 0.0256403 & 0.0512806 & 0.97436 \tabularnewline
146 & 0.0314184 & 0.0628368 & 0.968582 \tabularnewline
147 & 0.0329796 & 0.0659592 & 0.96702 \tabularnewline
148 & 0.0297734 & 0.0595468 & 0.970227 \tabularnewline
149 & 0.0248127 & 0.0496255 & 0.975187 \tabularnewline
150 & 0.0344362 & 0.0688725 & 0.965564 \tabularnewline
151 & 0.0297124 & 0.0594248 & 0.970288 \tabularnewline
152 & 0.0312807 & 0.0625613 & 0.968719 \tabularnewline
153 & 0.0638804 & 0.127761 & 0.93612 \tabularnewline
154 & 0.0627614 & 0.125523 & 0.937239 \tabularnewline
155 & 0.0721748 & 0.14435 & 0.927825 \tabularnewline
156 & 0.0617479 & 0.123496 & 0.938252 \tabularnewline
157 & 0.0551629 & 0.110326 & 0.944837 \tabularnewline
158 & 0.0482704 & 0.0965408 & 0.95173 \tabularnewline
159 & 0.0472261 & 0.0944522 & 0.952774 \tabularnewline
160 & 0.040493 & 0.0809861 & 0.959507 \tabularnewline
161 & 0.0334124 & 0.0668249 & 0.966588 \tabularnewline
162 & 0.0274668 & 0.0549336 & 0.972533 \tabularnewline
163 & 0.0228757 & 0.0457513 & 0.977124 \tabularnewline
164 & 0.0192964 & 0.0385928 & 0.980704 \tabularnewline
165 & 0.0169354 & 0.0338707 & 0.983065 \tabularnewline
166 & 0.0171843 & 0.0343686 & 0.982816 \tabularnewline
167 & 0.0138076 & 0.0276152 & 0.986192 \tabularnewline
168 & 0.0203736 & 0.0407472 & 0.979626 \tabularnewline
169 & 0.0201929 & 0.0403858 & 0.979807 \tabularnewline
170 & 0.018858 & 0.037716 & 0.981142 \tabularnewline
171 & 0.018135 & 0.0362699 & 0.981865 \tabularnewline
172 & 0.0146942 & 0.0293884 & 0.985306 \tabularnewline
173 & 0.0147423 & 0.0294846 & 0.985258 \tabularnewline
174 & 0.0164226 & 0.0328452 & 0.983577 \tabularnewline
175 & 0.0219495 & 0.0438989 & 0.978051 \tabularnewline
176 & 0.0176532 & 0.0353063 & 0.982347 \tabularnewline
177 & 0.0143827 & 0.0287654 & 0.985617 \tabularnewline
178 & 0.0117427 & 0.0234855 & 0.988257 \tabularnewline
179 & 0.00919216 & 0.0183843 & 0.990808 \tabularnewline
180 & 0.00800536 & 0.0160107 & 0.991995 \tabularnewline
181 & 0.0066036 & 0.0132072 & 0.993396 \tabularnewline
182 & 0.00534522 & 0.0106904 & 0.994655 \tabularnewline
183 & 0.00560937 & 0.0112187 & 0.994391 \tabularnewline
184 & 0.00443647 & 0.00887295 & 0.995564 \tabularnewline
185 & 0.0940865 & 0.188173 & 0.905913 \tabularnewline
186 & 0.0816846 & 0.163369 & 0.918315 \tabularnewline
187 & 0.092844 & 0.185688 & 0.907156 \tabularnewline
188 & 0.0802127 & 0.160425 & 0.919787 \tabularnewline
189 & 0.0679596 & 0.135919 & 0.93204 \tabularnewline
190 & 0.0563561 & 0.112712 & 0.943644 \tabularnewline
191 & 0.0497112 & 0.0994223 & 0.950289 \tabularnewline
192 & 0.0419612 & 0.0839224 & 0.958039 \tabularnewline
193 & 0.0487155 & 0.0974311 & 0.951284 \tabularnewline
194 & 0.0522891 & 0.104578 & 0.947711 \tabularnewline
195 & 0.0443812 & 0.0887623 & 0.955619 \tabularnewline
196 & 0.0370263 & 0.0740527 & 0.962974 \tabularnewline
197 & 0.0483157 & 0.0966314 & 0.951684 \tabularnewline
198 & 0.0395863 & 0.0791726 & 0.960414 \tabularnewline
199 & 0.0367012 & 0.0734023 & 0.963299 \tabularnewline
200 & 0.0310399 & 0.0620797 & 0.96896 \tabularnewline
201 & 0.029222 & 0.0584439 & 0.970778 \tabularnewline
202 & 0.0243806 & 0.0487611 & 0.975619 \tabularnewline
203 & 0.0313054 & 0.0626107 & 0.968695 \tabularnewline
204 & 0.0356803 & 0.0713606 & 0.96432 \tabularnewline
205 & 0.0389063 & 0.0778127 & 0.961094 \tabularnewline
206 & 0.0308792 & 0.0617583 & 0.969121 \tabularnewline
207 & 0.0303422 & 0.0606844 & 0.969658 \tabularnewline
208 & 0.0249499 & 0.0498997 & 0.97505 \tabularnewline
209 & 0.0278681 & 0.0557363 & 0.972132 \tabularnewline
210 & 0.0225417 & 0.0450835 & 0.977458 \tabularnewline
211 & 0.0249775 & 0.0499551 & 0.975022 \tabularnewline
212 & 0.0399735 & 0.079947 & 0.960026 \tabularnewline
213 & 0.0315871 & 0.0631742 & 0.968413 \tabularnewline
214 & 0.0441589 & 0.0883179 & 0.955841 \tabularnewline
215 & 0.0380593 & 0.0761186 & 0.961941 \tabularnewline
216 & 0.0297508 & 0.0595017 & 0.970249 \tabularnewline
217 & 0.0321955 & 0.0643911 & 0.967804 \tabularnewline
218 & 0.0275295 & 0.055059 & 0.972471 \tabularnewline
219 & 0.0247418 & 0.0494836 & 0.975258 \tabularnewline
220 & 0.0189634 & 0.0379268 & 0.981037 \tabularnewline
221 & 0.0168947 & 0.0337895 & 0.983105 \tabularnewline
222 & 0.0124206 & 0.0248413 & 0.987579 \tabularnewline
223 & 0.00931174 & 0.0186235 & 0.990688 \tabularnewline
224 & 0.00750212 & 0.0150042 & 0.992498 \tabularnewline
225 & 0.00654706 & 0.0130941 & 0.993453 \tabularnewline
226 & 0.0149952 & 0.0299904 & 0.985005 \tabularnewline
227 & 0.0115416 & 0.0230832 & 0.988458 \tabularnewline
228 & 0.00835032 & 0.0167006 & 0.99165 \tabularnewline
229 & 0.00609683 & 0.0121937 & 0.993903 \tabularnewline
230 & 0.00441036 & 0.00882073 & 0.99559 \tabularnewline
231 & 0.00439461 & 0.00878923 & 0.995605 \tabularnewline
232 & 0.00814498 & 0.01629 & 0.991855 \tabularnewline
233 & 0.0377565 & 0.0755131 & 0.962243 \tabularnewline
234 & 0.0542942 & 0.108588 & 0.945706 \tabularnewline
235 & 0.0405066 & 0.0810132 & 0.959493 \tabularnewline
236 & 0.0361101 & 0.0722202 & 0.96389 \tabularnewline
237 & 0.246506 & 0.493011 & 0.753494 \tabularnewline
238 & 0.200782 & 0.401564 & 0.799218 \tabularnewline
239 & 0.180044 & 0.360089 & 0.819956 \tabularnewline
240 & 0.142129 & 0.284257 & 0.857871 \tabularnewline
241 & 0.113707 & 0.227415 & 0.886293 \tabularnewline
242 & 0.0945301 & 0.18906 & 0.90547 \tabularnewline
243 & 0.0879023 & 0.175805 & 0.912098 \tabularnewline
244 & 0.15355 & 0.307101 & 0.84645 \tabularnewline
245 & 0.13763 & 0.275261 & 0.86237 \tabularnewline
246 & 0.110109 & 0.220219 & 0.889891 \tabularnewline
247 & 0.0777706 & 0.155541 & 0.922229 \tabularnewline
248 & 0.0666948 & 0.13339 & 0.933305 \tabularnewline
249 & 0.0624888 & 0.124978 & 0.937511 \tabularnewline
250 & 0.077381 & 0.154762 & 0.922619 \tabularnewline
251 & 0.046055 & 0.09211 & 0.953945 \tabularnewline
252 & 0.112286 & 0.224571 & 0.887714 \tabularnewline
253 & 0.234999 & 0.469997 & 0.765001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=221981&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]0.23445[/C][C]0.468899[/C][C]0.76555[/C][/ROW]
[ROW][C]12[/C][C]0.120294[/C][C]0.240587[/C][C]0.879706[/C][/ROW]
[ROW][C]13[/C][C]0.0815542[/C][C]0.163108[/C][C]0.918446[/C][/ROW]
[ROW][C]14[/C][C]0.102875[/C][C]0.20575[/C][C]0.897125[/C][/ROW]
[ROW][C]15[/C][C]0.058752[/C][C]0.117504[/C][C]0.941248[/C][/ROW]
[ROW][C]16[/C][C]0.0391687[/C][C]0.0783373[/C][C]0.960831[/C][/ROW]
[ROW][C]17[/C][C]0.0630191[/C][C]0.126038[/C][C]0.936981[/C][/ROW]
[ROW][C]18[/C][C]0.255864[/C][C]0.511729[/C][C]0.744136[/C][/ROW]
[ROW][C]19[/C][C]0.194217[/C][C]0.388433[/C][C]0.805783[/C][/ROW]
[ROW][C]20[/C][C]0.137765[/C][C]0.27553[/C][C]0.862235[/C][/ROW]
[ROW][C]21[/C][C]0.0986063[/C][C]0.197213[/C][C]0.901394[/C][/ROW]
[ROW][C]22[/C][C]0.0968534[/C][C]0.193707[/C][C]0.903147[/C][/ROW]
[ROW][C]23[/C][C]0.257054[/C][C]0.514109[/C][C]0.742946[/C][/ROW]
[ROW][C]24[/C][C]0.321495[/C][C]0.642991[/C][C]0.678505[/C][/ROW]
[ROW][C]25[/C][C]0.29487[/C][C]0.589739[/C][C]0.70513[/C][/ROW]
[ROW][C]26[/C][C]0.277448[/C][C]0.554896[/C][C]0.722552[/C][/ROW]
[ROW][C]27[/C][C]0.352099[/C][C]0.704198[/C][C]0.647901[/C][/ROW]
[ROW][C]28[/C][C]0.36385[/C][C]0.727699[/C][C]0.63615[/C][/ROW]
[ROW][C]29[/C][C]0.346786[/C][C]0.693571[/C][C]0.653214[/C][/ROW]
[ROW][C]30[/C][C]0.380898[/C][C]0.761797[/C][C]0.619102[/C][/ROW]
[ROW][C]31[/C][C]0.328676[/C][C]0.657352[/C][C]0.671324[/C][/ROW]
[ROW][C]32[/C][C]0.289493[/C][C]0.578986[/C][C]0.710507[/C][/ROW]
[ROW][C]33[/C][C]0.262491[/C][C]0.524982[/C][C]0.737509[/C][/ROW]
[ROW][C]34[/C][C]0.226304[/C][C]0.452609[/C][C]0.773696[/C][/ROW]
[ROW][C]35[/C][C]0.187881[/C][C]0.375761[/C][C]0.812119[/C][/ROW]
[ROW][C]36[/C][C]0.30493[/C][C]0.60986[/C][C]0.69507[/C][/ROW]
[ROW][C]37[/C][C]0.334971[/C][C]0.669942[/C][C]0.665029[/C][/ROW]
[ROW][C]38[/C][C]0.325964[/C][C]0.651927[/C][C]0.674036[/C][/ROW]
[ROW][C]39[/C][C]0.356023[/C][C]0.712045[/C][C]0.643977[/C][/ROW]
[ROW][C]40[/C][C]0.334209[/C][C]0.668419[/C][C]0.665791[/C][/ROW]
[ROW][C]41[/C][C]0.298001[/C][C]0.596003[/C][C]0.701999[/C][/ROW]
[ROW][C]42[/C][C]0.263836[/C][C]0.527671[/C][C]0.736164[/C][/ROW]
[ROW][C]43[/C][C]0.278274[/C][C]0.556549[/C][C]0.721726[/C][/ROW]
[ROW][C]44[/C][C]0.236537[/C][C]0.473073[/C][C]0.763463[/C][/ROW]
[ROW][C]45[/C][C]0.214442[/C][C]0.428885[/C][C]0.785558[/C][/ROW]
[ROW][C]46[/C][C]0.39269[/C][C]0.785379[/C][C]0.60731[/C][/ROW]
[ROW][C]47[/C][C]0.545519[/C][C]0.908962[/C][C]0.454481[/C][/ROW]
[ROW][C]48[/C][C]0.496549[/C][C]0.993098[/C][C]0.503451[/C][/ROW]
[ROW][C]49[/C][C]0.483216[/C][C]0.966432[/C][C]0.516784[/C][/ROW]
[ROW][C]50[/C][C]0.46839[/C][C]0.93678[/C][C]0.53161[/C][/ROW]
[ROW][C]51[/C][C]0.423672[/C][C]0.847343[/C][C]0.576328[/C][/ROW]
[ROW][C]52[/C][C]0.378169[/C][C]0.756338[/C][C]0.621831[/C][/ROW]
[ROW][C]53[/C][C]0.386604[/C][C]0.773207[/C][C]0.613396[/C][/ROW]
[ROW][C]54[/C][C]0.36971[/C][C]0.739419[/C][C]0.63029[/C][/ROW]
[ROW][C]55[/C][C]0.360938[/C][C]0.721875[/C][C]0.639062[/C][/ROW]
[ROW][C]56[/C][C]0.339385[/C][C]0.67877[/C][C]0.660615[/C][/ROW]
[ROW][C]57[/C][C]0.299778[/C][C]0.599556[/C][C]0.700222[/C][/ROW]
[ROW][C]58[/C][C]0.271158[/C][C]0.542315[/C][C]0.728842[/C][/ROW]
[ROW][C]59[/C][C]0.236694[/C][C]0.473389[/C][C]0.763306[/C][/ROW]
[ROW][C]60[/C][C]0.242459[/C][C]0.484917[/C][C]0.757541[/C][/ROW]
[ROW][C]61[/C][C]0.21865[/C][C]0.4373[/C][C]0.78135[/C][/ROW]
[ROW][C]62[/C][C]0.191736[/C][C]0.383471[/C][C]0.808264[/C][/ROW]
[ROW][C]63[/C][C]0.163732[/C][C]0.327464[/C][C]0.836268[/C][/ROW]
[ROW][C]64[/C][C]0.137979[/C][C]0.275958[/C][C]0.862021[/C][/ROW]
[ROW][C]65[/C][C]0.119074[/C][C]0.238148[/C][C]0.880926[/C][/ROW]
[ROW][C]66[/C][C]0.110229[/C][C]0.220458[/C][C]0.889771[/C][/ROW]
[ROW][C]67[/C][C]0.105986[/C][C]0.211972[/C][C]0.894014[/C][/ROW]
[ROW][C]68[/C][C]0.223059[/C][C]0.446117[/C][C]0.776941[/C][/ROW]
[ROW][C]69[/C][C]0.313039[/C][C]0.626078[/C][C]0.686961[/C][/ROW]
[ROW][C]70[/C][C]0.282143[/C][C]0.564285[/C][C]0.717857[/C][/ROW]
[ROW][C]71[/C][C]0.397902[/C][C]0.795805[/C][C]0.602098[/C][/ROW]
[ROW][C]72[/C][C]0.359898[/C][C]0.719796[/C][C]0.640102[/C][/ROW]
[ROW][C]73[/C][C]0.351565[/C][C]0.703129[/C][C]0.648435[/C][/ROW]
[ROW][C]74[/C][C]0.336197[/C][C]0.672394[/C][C]0.663803[/C][/ROW]
[ROW][C]75[/C][C]0.304024[/C][C]0.608048[/C][C]0.695976[/C][/ROW]
[ROW][C]76[/C][C]0.369545[/C][C]0.739089[/C][C]0.630455[/C][/ROW]
[ROW][C]77[/C][C]0.333818[/C][C]0.667636[/C][C]0.666182[/C][/ROW]
[ROW][C]78[/C][C]0.312977[/C][C]0.625954[/C][C]0.687023[/C][/ROW]
[ROW][C]79[/C][C]0.326057[/C][C]0.652113[/C][C]0.673943[/C][/ROW]
[ROW][C]80[/C][C]0.298478[/C][C]0.596957[/C][C]0.701522[/C][/ROW]
[ROW][C]81[/C][C]0.270342[/C][C]0.540684[/C][C]0.729658[/C][/ROW]
[ROW][C]82[/C][C]0.239446[/C][C]0.478892[/C][C]0.760554[/C][/ROW]
[ROW][C]83[/C][C]0.21514[/C][C]0.430279[/C][C]0.78486[/C][/ROW]
[ROW][C]84[/C][C]0.187914[/C][C]0.375827[/C][C]0.812086[/C][/ROW]
[ROW][C]85[/C][C]0.184607[/C][C]0.369214[/C][C]0.815393[/C][/ROW]
[ROW][C]86[/C][C]0.159573[/C][C]0.319145[/C][C]0.840427[/C][/ROW]
[ROW][C]87[/C][C]0.140323[/C][C]0.280645[/C][C]0.859677[/C][/ROW]
[ROW][C]88[/C][C]0.130739[/C][C]0.261478[/C][C]0.869261[/C][/ROW]
[ROW][C]89[/C][C]0.112976[/C][C]0.225953[/C][C]0.887024[/C][/ROW]
[ROW][C]90[/C][C]0.110203[/C][C]0.220406[/C][C]0.889797[/C][/ROW]
[ROW][C]91[/C][C]0.0942919[/C][C]0.188584[/C][C]0.905708[/C][/ROW]
[ROW][C]92[/C][C]0.0814241[/C][C]0.162848[/C][C]0.918576[/C][/ROW]
[ROW][C]93[/C][C]0.0691622[/C][C]0.138324[/C][C]0.930838[/C][/ROW]
[ROW][C]94[/C][C]0.0710506[/C][C]0.142101[/C][C]0.928949[/C][/ROW]
[ROW][C]95[/C][C]0.0642048[/C][C]0.12841[/C][C]0.935795[/C][/ROW]
[ROW][C]96[/C][C]0.0537976[/C][C]0.107595[/C][C]0.946202[/C][/ROW]
[ROW][C]97[/C][C]0.0594315[/C][C]0.118863[/C][C]0.940568[/C][/ROW]
[ROW][C]98[/C][C]0.0492271[/C][C]0.0984541[/C][C]0.950773[/C][/ROW]
[ROW][C]99[/C][C]0.0403638[/C][C]0.0807276[/C][C]0.959636[/C][/ROW]
[ROW][C]100[/C][C]0.035315[/C][C]0.07063[/C][C]0.964685[/C][/ROW]
[ROW][C]101[/C][C]0.03133[/C][C]0.06266[/C][C]0.96867[/C][/ROW]
[ROW][C]102[/C][C]0.0368821[/C][C]0.0737641[/C][C]0.963118[/C][/ROW]
[ROW][C]103[/C][C]0.0316514[/C][C]0.0633028[/C][C]0.968349[/C][/ROW]
[ROW][C]104[/C][C]0.0285859[/C][C]0.0571718[/C][C]0.971414[/C][/ROW]
[ROW][C]105[/C][C]0.0338171[/C][C]0.0676343[/C][C]0.966183[/C][/ROW]
[ROW][C]106[/C][C]0.0297171[/C][C]0.0594342[/C][C]0.970283[/C][/ROW]
[ROW][C]107[/C][C]0.0241331[/C][C]0.0482662[/C][C]0.975867[/C][/ROW]
[ROW][C]108[/C][C]0.0240079[/C][C]0.0480158[/C][C]0.975992[/C][/ROW]
[ROW][C]109[/C][C]0.0194515[/C][C]0.038903[/C][C]0.980548[/C][/ROW]
[ROW][C]110[/C][C]0.0159137[/C][C]0.0318273[/C][C]0.984086[/C][/ROW]
[ROW][C]111[/C][C]0.0126147[/C][C]0.0252293[/C][C]0.987385[/C][/ROW]
[ROW][C]112[/C][C]0.0130381[/C][C]0.0260763[/C][C]0.986962[/C][/ROW]
[ROW][C]113[/C][C]0.0116452[/C][C]0.0232904[/C][C]0.988355[/C][/ROW]
[ROW][C]114[/C][C]0.0167207[/C][C]0.0334413[/C][C]0.983279[/C][/ROW]
[ROW][C]115[/C][C]0.015971[/C][C]0.031942[/C][C]0.984029[/C][/ROW]
[ROW][C]116[/C][C]0.0152812[/C][C]0.0305624[/C][C]0.984719[/C][/ROW]
[ROW][C]117[/C][C]0.012639[/C][C]0.0252781[/C][C]0.987361[/C][/ROW]
[ROW][C]118[/C][C]0.012622[/C][C]0.0252439[/C][C]0.987378[/C][/ROW]
[ROW][C]119[/C][C]0.0102612[/C][C]0.0205224[/C][C]0.989739[/C][/ROW]
[ROW][C]120[/C][C]0.00903803[/C][C]0.0180761[/C][C]0.990962[/C][/ROW]
[ROW][C]121[/C][C]0.00735357[/C][C]0.0147071[/C][C]0.992646[/C][/ROW]
[ROW][C]122[/C][C]0.0113196[/C][C]0.0226391[/C][C]0.98868[/C][/ROW]
[ROW][C]123[/C][C]0.0095385[/C][C]0.019077[/C][C]0.990462[/C][/ROW]
[ROW][C]124[/C][C]0.00847312[/C][C]0.0169462[/C][C]0.991527[/C][/ROW]
[ROW][C]125[/C][C]0.00693556[/C][C]0.0138711[/C][C]0.993064[/C][/ROW]
[ROW][C]126[/C][C]0.00565042[/C][C]0.0113008[/C][C]0.99435[/C][/ROW]
[ROW][C]127[/C][C]0.00508716[/C][C]0.0101743[/C][C]0.994913[/C][/ROW]
[ROW][C]128[/C][C]0.00409879[/C][C]0.00819759[/C][C]0.995901[/C][/ROW]
[ROW][C]129[/C][C]0.00604887[/C][C]0.0120977[/C][C]0.993951[/C][/ROW]
[ROW][C]130[/C][C]0.00655324[/C][C]0.0131065[/C][C]0.993447[/C][/ROW]
[ROW][C]131[/C][C]0.0135403[/C][C]0.0270806[/C][C]0.98646[/C][/ROW]
[ROW][C]132[/C][C]0.0162987[/C][C]0.0325975[/C][C]0.983701[/C][/ROW]
[ROW][C]133[/C][C]0.0175824[/C][C]0.0351647[/C][C]0.982418[/C][/ROW]
[ROW][C]134[/C][C]0.0169833[/C][C]0.0339667[/C][C]0.983017[/C][/ROW]
[ROW][C]135[/C][C]0.0138804[/C][C]0.0277607[/C][C]0.98612[/C][/ROW]
[ROW][C]136[/C][C]0.0117123[/C][C]0.0234247[/C][C]0.988288[/C][/ROW]
[ROW][C]137[/C][C]0.00937464[/C][C]0.0187493[/C][C]0.990625[/C][/ROW]
[ROW][C]138[/C][C]0.0114169[/C][C]0.0228338[/C][C]0.988583[/C][/ROW]
[ROW][C]139[/C][C]0.00993714[/C][C]0.0198743[/C][C]0.990063[/C][/ROW]
[ROW][C]140[/C][C]0.0112928[/C][C]0.0225856[/C][C]0.988707[/C][/ROW]
[ROW][C]141[/C][C]0.0175166[/C][C]0.0350331[/C][C]0.982483[/C][/ROW]
[ROW][C]142[/C][C]0.015929[/C][C]0.0318579[/C][C]0.984071[/C][/ROW]
[ROW][C]143[/C][C]0.0126832[/C][C]0.0253663[/C][C]0.987317[/C][/ROW]
[ROW][C]144[/C][C]0.0134458[/C][C]0.0268917[/C][C]0.986554[/C][/ROW]
[ROW][C]145[/C][C]0.0256403[/C][C]0.0512806[/C][C]0.97436[/C][/ROW]
[ROW][C]146[/C][C]0.0314184[/C][C]0.0628368[/C][C]0.968582[/C][/ROW]
[ROW][C]147[/C][C]0.0329796[/C][C]0.0659592[/C][C]0.96702[/C][/ROW]
[ROW][C]148[/C][C]0.0297734[/C][C]0.0595468[/C][C]0.970227[/C][/ROW]
[ROW][C]149[/C][C]0.0248127[/C][C]0.0496255[/C][C]0.975187[/C][/ROW]
[ROW][C]150[/C][C]0.0344362[/C][C]0.0688725[/C][C]0.965564[/C][/ROW]
[ROW][C]151[/C][C]0.0297124[/C][C]0.0594248[/C][C]0.970288[/C][/ROW]
[ROW][C]152[/C][C]0.0312807[/C][C]0.0625613[/C][C]0.968719[/C][/ROW]
[ROW][C]153[/C][C]0.0638804[/C][C]0.127761[/C][C]0.93612[/C][/ROW]
[ROW][C]154[/C][C]0.0627614[/C][C]0.125523[/C][C]0.937239[/C][/ROW]
[ROW][C]155[/C][C]0.0721748[/C][C]0.14435[/C][C]0.927825[/C][/ROW]
[ROW][C]156[/C][C]0.0617479[/C][C]0.123496[/C][C]0.938252[/C][/ROW]
[ROW][C]157[/C][C]0.0551629[/C][C]0.110326[/C][C]0.944837[/C][/ROW]
[ROW][C]158[/C][C]0.0482704[/C][C]0.0965408[/C][C]0.95173[/C][/ROW]
[ROW][C]159[/C][C]0.0472261[/C][C]0.0944522[/C][C]0.952774[/C][/ROW]
[ROW][C]160[/C][C]0.040493[/C][C]0.0809861[/C][C]0.959507[/C][/ROW]
[ROW][C]161[/C][C]0.0334124[/C][C]0.0668249[/C][C]0.966588[/C][/ROW]
[ROW][C]162[/C][C]0.0274668[/C][C]0.0549336[/C][C]0.972533[/C][/ROW]
[ROW][C]163[/C][C]0.0228757[/C][C]0.0457513[/C][C]0.977124[/C][/ROW]
[ROW][C]164[/C][C]0.0192964[/C][C]0.0385928[/C][C]0.980704[/C][/ROW]
[ROW][C]165[/C][C]0.0169354[/C][C]0.0338707[/C][C]0.983065[/C][/ROW]
[ROW][C]166[/C][C]0.0171843[/C][C]0.0343686[/C][C]0.982816[/C][/ROW]
[ROW][C]167[/C][C]0.0138076[/C][C]0.0276152[/C][C]0.986192[/C][/ROW]
[ROW][C]168[/C][C]0.0203736[/C][C]0.0407472[/C][C]0.979626[/C][/ROW]
[ROW][C]169[/C][C]0.0201929[/C][C]0.0403858[/C][C]0.979807[/C][/ROW]
[ROW][C]170[/C][C]0.018858[/C][C]0.037716[/C][C]0.981142[/C][/ROW]
[ROW][C]171[/C][C]0.018135[/C][C]0.0362699[/C][C]0.981865[/C][/ROW]
[ROW][C]172[/C][C]0.0146942[/C][C]0.0293884[/C][C]0.985306[/C][/ROW]
[ROW][C]173[/C][C]0.0147423[/C][C]0.0294846[/C][C]0.985258[/C][/ROW]
[ROW][C]174[/C][C]0.0164226[/C][C]0.0328452[/C][C]0.983577[/C][/ROW]
[ROW][C]175[/C][C]0.0219495[/C][C]0.0438989[/C][C]0.978051[/C][/ROW]
[ROW][C]176[/C][C]0.0176532[/C][C]0.0353063[/C][C]0.982347[/C][/ROW]
[ROW][C]177[/C][C]0.0143827[/C][C]0.0287654[/C][C]0.985617[/C][/ROW]
[ROW][C]178[/C][C]0.0117427[/C][C]0.0234855[/C][C]0.988257[/C][/ROW]
[ROW][C]179[/C][C]0.00919216[/C][C]0.0183843[/C][C]0.990808[/C][/ROW]
[ROW][C]180[/C][C]0.00800536[/C][C]0.0160107[/C][C]0.991995[/C][/ROW]
[ROW][C]181[/C][C]0.0066036[/C][C]0.0132072[/C][C]0.993396[/C][/ROW]
[ROW][C]182[/C][C]0.00534522[/C][C]0.0106904[/C][C]0.994655[/C][/ROW]
[ROW][C]183[/C][C]0.00560937[/C][C]0.0112187[/C][C]0.994391[/C][/ROW]
[ROW][C]184[/C][C]0.00443647[/C][C]0.00887295[/C][C]0.995564[/C][/ROW]
[ROW][C]185[/C][C]0.0940865[/C][C]0.188173[/C][C]0.905913[/C][/ROW]
[ROW][C]186[/C][C]0.0816846[/C][C]0.163369[/C][C]0.918315[/C][/ROW]
[ROW][C]187[/C][C]0.092844[/C][C]0.185688[/C][C]0.907156[/C][/ROW]
[ROW][C]188[/C][C]0.0802127[/C][C]0.160425[/C][C]0.919787[/C][/ROW]
[ROW][C]189[/C][C]0.0679596[/C][C]0.135919[/C][C]0.93204[/C][/ROW]
[ROW][C]190[/C][C]0.0563561[/C][C]0.112712[/C][C]0.943644[/C][/ROW]
[ROW][C]191[/C][C]0.0497112[/C][C]0.0994223[/C][C]0.950289[/C][/ROW]
[ROW][C]192[/C][C]0.0419612[/C][C]0.0839224[/C][C]0.958039[/C][/ROW]
[ROW][C]193[/C][C]0.0487155[/C][C]0.0974311[/C][C]0.951284[/C][/ROW]
[ROW][C]194[/C][C]0.0522891[/C][C]0.104578[/C][C]0.947711[/C][/ROW]
[ROW][C]195[/C][C]0.0443812[/C][C]0.0887623[/C][C]0.955619[/C][/ROW]
[ROW][C]196[/C][C]0.0370263[/C][C]0.0740527[/C][C]0.962974[/C][/ROW]
[ROW][C]197[/C][C]0.0483157[/C][C]0.0966314[/C][C]0.951684[/C][/ROW]
[ROW][C]198[/C][C]0.0395863[/C][C]0.0791726[/C][C]0.960414[/C][/ROW]
[ROW][C]199[/C][C]0.0367012[/C][C]0.0734023[/C][C]0.963299[/C][/ROW]
[ROW][C]200[/C][C]0.0310399[/C][C]0.0620797[/C][C]0.96896[/C][/ROW]
[ROW][C]201[/C][C]0.029222[/C][C]0.0584439[/C][C]0.970778[/C][/ROW]
[ROW][C]202[/C][C]0.0243806[/C][C]0.0487611[/C][C]0.975619[/C][/ROW]
[ROW][C]203[/C][C]0.0313054[/C][C]0.0626107[/C][C]0.968695[/C][/ROW]
[ROW][C]204[/C][C]0.0356803[/C][C]0.0713606[/C][C]0.96432[/C][/ROW]
[ROW][C]205[/C][C]0.0389063[/C][C]0.0778127[/C][C]0.961094[/C][/ROW]
[ROW][C]206[/C][C]0.0308792[/C][C]0.0617583[/C][C]0.969121[/C][/ROW]
[ROW][C]207[/C][C]0.0303422[/C][C]0.0606844[/C][C]0.969658[/C][/ROW]
[ROW][C]208[/C][C]0.0249499[/C][C]0.0498997[/C][C]0.97505[/C][/ROW]
[ROW][C]209[/C][C]0.0278681[/C][C]0.0557363[/C][C]0.972132[/C][/ROW]
[ROW][C]210[/C][C]0.0225417[/C][C]0.0450835[/C][C]0.977458[/C][/ROW]
[ROW][C]211[/C][C]0.0249775[/C][C]0.0499551[/C][C]0.975022[/C][/ROW]
[ROW][C]212[/C][C]0.0399735[/C][C]0.079947[/C][C]0.960026[/C][/ROW]
[ROW][C]213[/C][C]0.0315871[/C][C]0.0631742[/C][C]0.968413[/C][/ROW]
[ROW][C]214[/C][C]0.0441589[/C][C]0.0883179[/C][C]0.955841[/C][/ROW]
[ROW][C]215[/C][C]0.0380593[/C][C]0.0761186[/C][C]0.961941[/C][/ROW]
[ROW][C]216[/C][C]0.0297508[/C][C]0.0595017[/C][C]0.970249[/C][/ROW]
[ROW][C]217[/C][C]0.0321955[/C][C]0.0643911[/C][C]0.967804[/C][/ROW]
[ROW][C]218[/C][C]0.0275295[/C][C]0.055059[/C][C]0.972471[/C][/ROW]
[ROW][C]219[/C][C]0.0247418[/C][C]0.0494836[/C][C]0.975258[/C][/ROW]
[ROW][C]220[/C][C]0.0189634[/C][C]0.0379268[/C][C]0.981037[/C][/ROW]
[ROW][C]221[/C][C]0.0168947[/C][C]0.0337895[/C][C]0.983105[/C][/ROW]
[ROW][C]222[/C][C]0.0124206[/C][C]0.0248413[/C][C]0.987579[/C][/ROW]
[ROW][C]223[/C][C]0.00931174[/C][C]0.0186235[/C][C]0.990688[/C][/ROW]
[ROW][C]224[/C][C]0.00750212[/C][C]0.0150042[/C][C]0.992498[/C][/ROW]
[ROW][C]225[/C][C]0.00654706[/C][C]0.0130941[/C][C]0.993453[/C][/ROW]
[ROW][C]226[/C][C]0.0149952[/C][C]0.0299904[/C][C]0.985005[/C][/ROW]
[ROW][C]227[/C][C]0.0115416[/C][C]0.0230832[/C][C]0.988458[/C][/ROW]
[ROW][C]228[/C][C]0.00835032[/C][C]0.0167006[/C][C]0.99165[/C][/ROW]
[ROW][C]229[/C][C]0.00609683[/C][C]0.0121937[/C][C]0.993903[/C][/ROW]
[ROW][C]230[/C][C]0.00441036[/C][C]0.00882073[/C][C]0.99559[/C][/ROW]
[ROW][C]231[/C][C]0.00439461[/C][C]0.00878923[/C][C]0.995605[/C][/ROW]
[ROW][C]232[/C][C]0.00814498[/C][C]0.01629[/C][C]0.991855[/C][/ROW]
[ROW][C]233[/C][C]0.0377565[/C][C]0.0755131[/C][C]0.962243[/C][/ROW]
[ROW][C]234[/C][C]0.0542942[/C][C]0.108588[/C][C]0.945706[/C][/ROW]
[ROW][C]235[/C][C]0.0405066[/C][C]0.0810132[/C][C]0.959493[/C][/ROW]
[ROW][C]236[/C][C]0.0361101[/C][C]0.0722202[/C][C]0.96389[/C][/ROW]
[ROW][C]237[/C][C]0.246506[/C][C]0.493011[/C][C]0.753494[/C][/ROW]
[ROW][C]238[/C][C]0.200782[/C][C]0.401564[/C][C]0.799218[/C][/ROW]
[ROW][C]239[/C][C]0.180044[/C][C]0.360089[/C][C]0.819956[/C][/ROW]
[ROW][C]240[/C][C]0.142129[/C][C]0.284257[/C][C]0.857871[/C][/ROW]
[ROW][C]241[/C][C]0.113707[/C][C]0.227415[/C][C]0.886293[/C][/ROW]
[ROW][C]242[/C][C]0.0945301[/C][C]0.18906[/C][C]0.90547[/C][/ROW]
[ROW][C]243[/C][C]0.0879023[/C][C]0.175805[/C][C]0.912098[/C][/ROW]
[ROW][C]244[/C][C]0.15355[/C][C]0.307101[/C][C]0.84645[/C][/ROW]
[ROW][C]245[/C][C]0.13763[/C][C]0.275261[/C][C]0.86237[/C][/ROW]
[ROW][C]246[/C][C]0.110109[/C][C]0.220219[/C][C]0.889891[/C][/ROW]
[ROW][C]247[/C][C]0.0777706[/C][C]0.155541[/C][C]0.922229[/C][/ROW]
[ROW][C]248[/C][C]0.0666948[/C][C]0.13339[/C][C]0.933305[/C][/ROW]
[ROW][C]249[/C][C]0.0624888[/C][C]0.124978[/C][C]0.937511[/C][/ROW]
[ROW][C]250[/C][C]0.077381[/C][C]0.154762[/C][C]0.922619[/C][/ROW]
[ROW][C]251[/C][C]0.046055[/C][C]0.09211[/C][C]0.953945[/C][/ROW]
[ROW][C]252[/C][C]0.112286[/C][C]0.224571[/C][C]0.887714[/C][/ROW]
[ROW][C]253[/C][C]0.234999[/C][C]0.469997[/C][C]0.765001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=221981&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=221981&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
110.234450.4688990.76555
120.1202940.2405870.879706
130.08155420.1631080.918446
140.1028750.205750.897125
150.0587520.1175040.941248
160.03916870.07833730.960831
170.06301910.1260380.936981
180.2558640.5117290.744136
190.1942170.3884330.805783
200.1377650.275530.862235
210.09860630.1972130.901394
220.09685340.1937070.903147
230.2570540.5141090.742946
240.3214950.6429910.678505
250.294870.5897390.70513
260.2774480.5548960.722552
270.3520990.7041980.647901
280.363850.7276990.63615
290.3467860.6935710.653214
300.3808980.7617970.619102
310.3286760.6573520.671324
320.2894930.5789860.710507
330.2624910.5249820.737509
340.2263040.4526090.773696
350.1878810.3757610.812119
360.304930.609860.69507
370.3349710.6699420.665029
380.3259640.6519270.674036
390.3560230.7120450.643977
400.3342090.6684190.665791
410.2980010.5960030.701999
420.2638360.5276710.736164
430.2782740.5565490.721726
440.2365370.4730730.763463
450.2144420.4288850.785558
460.392690.7853790.60731
470.5455190.9089620.454481
480.4965490.9930980.503451
490.4832160.9664320.516784
500.468390.936780.53161
510.4236720.8473430.576328
520.3781690.7563380.621831
530.3866040.7732070.613396
540.369710.7394190.63029
550.3609380.7218750.639062
560.3393850.678770.660615
570.2997780.5995560.700222
580.2711580.5423150.728842
590.2366940.4733890.763306
600.2424590.4849170.757541
610.218650.43730.78135
620.1917360.3834710.808264
630.1637320.3274640.836268
640.1379790.2759580.862021
650.1190740.2381480.880926
660.1102290.2204580.889771
670.1059860.2119720.894014
680.2230590.4461170.776941
690.3130390.6260780.686961
700.2821430.5642850.717857
710.3979020.7958050.602098
720.3598980.7197960.640102
730.3515650.7031290.648435
740.3361970.6723940.663803
750.3040240.6080480.695976
760.3695450.7390890.630455
770.3338180.6676360.666182
780.3129770.6259540.687023
790.3260570.6521130.673943
800.2984780.5969570.701522
810.2703420.5406840.729658
820.2394460.4788920.760554
830.215140.4302790.78486
840.1879140.3758270.812086
850.1846070.3692140.815393
860.1595730.3191450.840427
870.1403230.2806450.859677
880.1307390.2614780.869261
890.1129760.2259530.887024
900.1102030.2204060.889797
910.09429190.1885840.905708
920.08142410.1628480.918576
930.06916220.1383240.930838
940.07105060.1421010.928949
950.06420480.128410.935795
960.05379760.1075950.946202
970.05943150.1188630.940568
980.04922710.09845410.950773
990.04036380.08072760.959636
1000.0353150.070630.964685
1010.031330.062660.96867
1020.03688210.07376410.963118
1030.03165140.06330280.968349
1040.02858590.05717180.971414
1050.03381710.06763430.966183
1060.02971710.05943420.970283
1070.02413310.04826620.975867
1080.02400790.04801580.975992
1090.01945150.0389030.980548
1100.01591370.03182730.984086
1110.01261470.02522930.987385
1120.01303810.02607630.986962
1130.01164520.02329040.988355
1140.01672070.03344130.983279
1150.0159710.0319420.984029
1160.01528120.03056240.984719
1170.0126390.02527810.987361
1180.0126220.02524390.987378
1190.01026120.02052240.989739
1200.009038030.01807610.990962
1210.007353570.01470710.992646
1220.01131960.02263910.98868
1230.00953850.0190770.990462
1240.008473120.01694620.991527
1250.006935560.01387110.993064
1260.005650420.01130080.99435
1270.005087160.01017430.994913
1280.004098790.008197590.995901
1290.006048870.01209770.993951
1300.006553240.01310650.993447
1310.01354030.02708060.98646
1320.01629870.03259750.983701
1330.01758240.03516470.982418
1340.01698330.03396670.983017
1350.01388040.02776070.98612
1360.01171230.02342470.988288
1370.009374640.01874930.990625
1380.01141690.02283380.988583
1390.009937140.01987430.990063
1400.01129280.02258560.988707
1410.01751660.03503310.982483
1420.0159290.03185790.984071
1430.01268320.02536630.987317
1440.01344580.02689170.986554
1450.02564030.05128060.97436
1460.03141840.06283680.968582
1470.03297960.06595920.96702
1480.02977340.05954680.970227
1490.02481270.04962550.975187
1500.03443620.06887250.965564
1510.02971240.05942480.970288
1520.03128070.06256130.968719
1530.06388040.1277610.93612
1540.06276140.1255230.937239
1550.07217480.144350.927825
1560.06174790.1234960.938252
1570.05516290.1103260.944837
1580.04827040.09654080.95173
1590.04722610.09445220.952774
1600.0404930.08098610.959507
1610.03341240.06682490.966588
1620.02746680.05493360.972533
1630.02287570.04575130.977124
1640.01929640.03859280.980704
1650.01693540.03387070.983065
1660.01718430.03436860.982816
1670.01380760.02761520.986192
1680.02037360.04074720.979626
1690.02019290.04038580.979807
1700.0188580.0377160.981142
1710.0181350.03626990.981865
1720.01469420.02938840.985306
1730.01474230.02948460.985258
1740.01642260.03284520.983577
1750.02194950.04389890.978051
1760.01765320.03530630.982347
1770.01438270.02876540.985617
1780.01174270.02348550.988257
1790.009192160.01838430.990808
1800.008005360.01601070.991995
1810.00660360.01320720.993396
1820.005345220.01069040.994655
1830.005609370.01121870.994391
1840.004436470.008872950.995564
1850.09408650.1881730.905913
1860.08168460.1633690.918315
1870.0928440.1856880.907156
1880.08021270.1604250.919787
1890.06795960.1359190.93204
1900.05635610.1127120.943644
1910.04971120.09942230.950289
1920.04196120.08392240.958039
1930.04871550.09743110.951284
1940.05228910.1045780.947711
1950.04438120.08876230.955619
1960.03702630.07405270.962974
1970.04831570.09663140.951684
1980.03958630.07917260.960414
1990.03670120.07340230.963299
2000.03103990.06207970.96896
2010.0292220.05844390.970778
2020.02438060.04876110.975619
2030.03130540.06261070.968695
2040.03568030.07136060.96432
2050.03890630.07781270.961094
2060.03087920.06175830.969121
2070.03034220.06068440.969658
2080.02494990.04989970.97505
2090.02786810.05573630.972132
2100.02254170.04508350.977458
2110.02497750.04995510.975022
2120.03997350.0799470.960026
2130.03158710.06317420.968413
2140.04415890.08831790.955841
2150.03805930.07611860.961941
2160.02975080.05950170.970249
2170.03219550.06439110.967804
2180.02752950.0550590.972471
2190.02474180.04948360.975258
2200.01896340.03792680.981037
2210.01689470.03378950.983105
2220.01242060.02484130.987579
2230.009311740.01862350.990688
2240.007502120.01500420.992498
2250.006547060.01309410.993453
2260.01499520.02999040.985005
2270.01154160.02308320.988458
2280.008350320.01670060.99165
2290.006096830.01219370.993903
2300.004410360.008820730.99559
2310.004394610.008789230.995605
2320.008144980.016290.991855
2330.03775650.07551310.962243
2340.05429420.1085880.945706
2350.04050660.08101320.959493
2360.03611010.07222020.96389
2370.2465060.4930110.753494
2380.2007820.4015640.799218
2390.1800440.3600890.819956
2400.1421290.2842570.857871
2410.1137070.2274150.886293
2420.09453010.189060.90547
2430.08790230.1758050.912098
2440.153550.3071010.84645
2450.137630.2752610.86237
2460.1101090.2202190.889891
2470.07777060.1555410.922229
2480.06669480.133390.933305
2490.06248880.1249780.937511
2500.0773810.1547620.922619
2510.0460550.092110.953945
2520.1122860.2245710.887714
2530.2349990.4699970.765001






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level40.0164609NOK
5% type I error level790.325103NOK
10% type I error level1280.526749NOK

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
Description & # significant tests & % significant tests & OK/NOK \tabularnewline
1% type I error level & 4 & 0.0164609 & NOK \tabularnewline
5% type I error level & 79 & 0.325103 & NOK \tabularnewline
10% type I error level & 128 & 0.526749 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=221981&T=6

[TABLE]
[ROW][C]Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]Description[/C][C]# significant tests[/C][C]% significant tests[/C][C]OK/NOK[/C][/ROW]
[ROW][C]1% type I error level[/C][C]4[/C][C]0.0164609[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]79[/C][C]0.325103[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]128[/C][C]0.526749[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=221981&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=221981&T=6

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


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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level40.0164609NOK
5% type I error level790.325103NOK
10% type I error level1280.526749NOK


Figures (Output of Computation)

Figure 1
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Figure 2
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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 = 4 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 4 ; 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')
}