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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 computationThu, 15 Jan 2015 14:26:57 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Jan/15/t1421332033owkb6ld45twlpn5.htm/, Retrieved Wed, 15 May 2024 23:47:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=272741, Retrieved Wed, 15 May 2024 23:47:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact95

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [] [2013-11-04 07:18:26] [0307e7a6407eb638caabc417e3a6b260]
- RM D  [Multiple Regression] [voorwaarde 3] [2014-11-12 13:56:24] [2568c9326b0361ae14a2b722dbd6de4e]
- R  D      [Multiple Regression] [] [2015-01-15 14:26:57] [bcb5b2244e18c223160d6809eb45aeed] [Current]
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Dataset

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

Tables (Output of Computation)





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

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 8 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=272741&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]8 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=272741&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=272741&T=0

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


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

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






Multiple Linear Regression - Estimated Regression Equation
Happiness[t] = + 4.80308 + 0.0363143Connected[t] + 0.0104237Separate[t] + 0.199885Learning[t] + 0.00314779Software[t] + 0.0601497Sport1[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Happiness[t] =  +  4.80308 +  0.0363143Connected[t] +  0.0104237Separate[t] +  0.199885Learning[t] +  0.00314779Software[t] +  0.0601497Sport1[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=272741&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Happiness[t] =  +  4.80308 +  0.0363143Connected[t] +  0.0104237Separate[t] +  0.199885Learning[t] +  0.00314779Software[t] +  0.0601497Sport1[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=272741&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=272741&T=1

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


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

Multiple Linear Regression - Estimated Regression Equation
Happiness[t] = + 4.80308 + 0.0363143Connected[t] + 0.0104237Separate[t] + 0.199885Learning[t] + 0.00314779Software[t] + 0.0601497Sport1[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)4.803081.777442.7020.007344310.00367216
Connected0.03631430.04332520.83820.4027060.201353
Separate0.01042370.04461980.23360.8154720.407736
Learning0.1998850.07687132.60.009852670.00492634
Software0.003147790.08020460.039250.9687240.484362
Sport10.06014970.01418274.2413.10256e-051.55128e-05

\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) & 4.80308 & 1.77744 & 2.702 & 0.00734431 & 0.00367216 \tabularnewline
Connected & 0.0363143 & 0.0433252 & 0.8382 & 0.402706 & 0.201353 \tabularnewline
Separate & 0.0104237 & 0.0446198 & 0.2336 & 0.815472 & 0.407736 \tabularnewline
Learning & 0.199885 & 0.0768713 & 2.6 & 0.00985267 & 0.00492634 \tabularnewline
Software & 0.00314779 & 0.0802046 & 0.03925 & 0.968724 & 0.484362 \tabularnewline
Sport1 & 0.0601497 & 0.0141827 & 4.241 & 3.10256e-05 & 1.55128e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=272741&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]4.80308[/C][C]1.77744[/C][C]2.702[/C][C]0.00734431[/C][C]0.00367216[/C][/ROW]
[ROW][C]Connected[/C][C]0.0363143[/C][C]0.0433252[/C][C]0.8382[/C][C]0.402706[/C][C]0.201353[/C][/ROW]
[ROW][C]Separate[/C][C]0.0104237[/C][C]0.0446198[/C][C]0.2336[/C][C]0.815472[/C][C]0.407736[/C][/ROW]
[ROW][C]Learning[/C][C]0.199885[/C][C]0.0768713[/C][C]2.6[/C][C]0.00985267[/C][C]0.00492634[/C][/ROW]
[ROW][C]Software[/C][C]0.00314779[/C][C]0.0802046[/C][C]0.03925[/C][C]0.968724[/C][C]0.484362[/C][/ROW]
[ROW][C]Sport1[/C][C]0.0601497[/C][C]0.0141827[/C][C]4.241[/C][C]3.10256e-05[/C][C]1.55128e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=272741&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=272741&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)4.803081.777442.7020.007344310.00367216
Connected0.03631430.04332520.83820.4027060.201353
Separate0.01042370.04461980.23360.8154720.407736
Learning0.1998850.07687132.60.009852670.00492634
Software0.003147790.08020460.039250.9687240.484362
Sport10.06014970.01418274.2413.10256e-051.55128e-05






Multiple Linear Regression - Regression Statistics
Multiple R0.360821
R-squared0.130192
Adjusted R-squared0.113335
F-TEST (value)7.72342
F-TEST (DF numerator)5
F-TEST (DF denominator)258
p-value8.6909e-07
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.35279
Sum Squared Residuals1428.2

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.360821 \tabularnewline
R-squared & 0.130192 \tabularnewline
Adjusted R-squared & 0.113335 \tabularnewline
F-TEST (value) & 7.72342 \tabularnewline
F-TEST (DF numerator) & 5 \tabularnewline
F-TEST (DF denominator) & 258 \tabularnewline
p-value & 8.6909e-07 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.35279 \tabularnewline
Sum Squared Residuals & 1428.2 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=272741&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.360821[/C][/ROW]
[ROW][C]R-squared[/C][C]0.130192[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.113335[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]7.72342[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]5[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]258[/C][/ROW]
[ROW][C]p-value[/C][C]8.6909e-07[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]2.35279[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]1428.2[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=272741&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=272741&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 R0.360821
R-squared0.130192
Adjusted R-squared0.113335
F-TEST (value)7.72342
F-TEST (DF numerator)5
F-TEST (DF denominator)258
p-value8.6909e-07
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.35279
Sum Squared Residuals1428.2






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
11412.51231.48772
21814.77813.22189
31114.0723-3.07225
41213.32-1.32
51613.83412.16587
61813.6984.30197
71413.5660.434006
81414.2673-0.26734
91513.76251.23753
101514.14080.859208
111714.48762.51238
121912.94886.05118
131013.8138-3.81382
141613.09632.90369
151815.06542.93459
161412.83391.16615
171413.98490.0150664
181715.90781.09223
191414.0976-0.0975745
201612.96323.03684
211813.51184.48821
221113.5781-2.57807
231413.70230.297742
241213.1544-1.1544
251715.16161.83841
26914.8765-5.87647
271614.27621.72376
281413.57980.420198
291514.2730.726956
301113.2416-2.24165
311614.11.90002
321311.7891.21099
331713.57033.42966
341514.7120.288049
351413.63770.362281
361612.60063.39937
37911.9959-2.99594
381513.56121.43883
391713.98033.01966
401313.798-0.79803
411514.1610.839017
421613.72912.27086
431613.80962.19042
441212.3757-0.375715
451513.45511.54492
461112.8382-1.83823
471513.33861.66141
481513.91.10001
491714.19042.80964
501313.864-0.863973
511613.93422.06575
521413.13770.862254
531112.5349-1.53494
541213.4022-1.40223
551211.90280.0971685
561513.90021.09981
571614.26081.73925
581513.47661.52344
591213.9458-1.94579
601213.8686-1.8686
61811.793-3.79296
621314.4049-1.40489
631114.4568-3.4568
641412.25451.74555
651512.84492.15508
661014.7107-4.7107
671114.0871-3.0871
681214.1974-2.19743
691512.86212.13789
701513.8461.15398
711412.61231.38766
721612.4063.59398
731514.95840.0415849
741514.40270.597277
751314.6077-1.60771
761214.7704-2.7704
771713.98193.01805
781313.744-0.744016
791513.41081.58918
801312.91220.087834
811514.36450.635535
821513.96631.03368
831613.91772.08233
841513.68321.31678
851414.1858-0.185751
861513.92751.0725
871413.74210.25788
881312.67380.32623
89713.592-6.59196
901713.1223.87804
911313.1373-0.137299
921514.36890.631087
931414.2253-0.225325
941313.6172-0.61716
951614.63621.3638
961213.9009-1.90095
971414.3154-0.315382
981714.60922.39083
991513.74161.25836
1001714.37192.62812
1011214.1353-2.13525
1021615.65370.346287
1031113.2598-2.25978
1041514.39260.607412
105913.3157-4.31567
1061614.5551.44495
1071514.20510.794947
1081012.9561-2.95609
1091011.9899-1.98993
1101514.59560.404427
1111113.9661-2.96611
1121315.1184-2.11835
1131411.22792.77206
1141813.50264.49741
1151615.2920.708007
1161412.50581.4942
1171413.30830.691683
1181413.14970.850258
1191415.2077-1.20768
1201212.2683-0.268343
1211414.0207-0.0207217
1221514.57910.42085
1231514.35640.643584
1241513.86371.13635
1251314.27-1.27001
1261714.99612.00388
1271714.69122.30882
1281914.27544.72456
1291513.18211.81791
1301313.8094-0.809386
131912.1568-3.1568
1321514.49620.503802
1331512.43932.56075
1341513.83011.16995
1351614.41621.5838
1361111.9241-0.924121
1371413.22490.775073
1381111.7356-0.735636
1391512.70192.29813
1401312.6710.328952
1411512.7912.20903
1421614.35741.64263
1431414.8755-0.875475
1441514.03290.967119
1451613.95612.04386
1461614.45681.54319
1471112.7309-1.73091
1481214.0354-2.03543
149913.4254-4.4254
1501613.72322.27684
1511314.505-1.50498
1521613.9312.06901
1531214.0284-2.02843
154913.5113-4.51133
1551313.0403-0.040296
1561313.1373-0.137299
1571413.11850.881464
1581914.27544.72456
1591314.6567-1.65669
1601213.8376-1.83762
1611313.187-0.187036
1621012.6544-2.65445
1631413.49580.504232
1641614.90141.09861
1651013.8048-3.80482
1661111.2595-0.259451
1671413.76120.238816
1681212.6954-0.695431
169914.0024-5.00242
170913.7961-4.7961
1711112.1924-1.19244
1721614.06281.93722
173913.7786-4.77857
1741311.48661.51338
1751613.16942.83057
1761314.0545-1.05454
177913.0047-4.00467
1781212.7825-0.7825
1791613.11192.88814
1801113.4467-2.44673
1811412.96971.03033
1821312.63440.365557
1831514.35960.640413
1841414.3646-0.364606
1851612.8843.11596
1861314.1477-1.1477
1871414.3485-0.348549
1881514.19620.803849
1891311.58061.4194
1901112.224-1.224
1911111.4622-0.462243
1921414.3471-0.347132
1931512.86752.13249
1941113.4218-2.42182
1951513.25951.74054
1961213.7893-1.78934
1971414.3392-0.339217
1981414.8561-0.856086
199812.9014-4.90144
2001313.9483-0.948271
201913.5915-4.59148
2021512.96752.03247
2031713.09923.90081
2041312.05580.944198
2051513.71011.28991
2061513.8971.103
2071414.8053-0.805268
2081612.81313.18695
2091312.89510.104931
2101614.46411.53592
211912.6677-3.66772
2121614.23961.76042
2131114.6376-3.63759
2141014.0014-4.00135
2151113.7049-2.70487
2161512.82012.17993
2171714.91172.08832
2181414.396-0.396037
219812.768-4.76804
2201514.48520.514757
2211113.6257-2.62572
2221612.87683.12317
2231013.7018-3.70184
2241513.02011.97989
225911.3255-2.32554
2261612.653.34997
2271912.34036.65967
2281212.972-0.972009
229812.5787-4.57869
2301113.04-2.04003
2311413.23850.761502
232912.4579-3.45791
2331513.02531.97473
2341314.6087-1.60873
2351613.33212.66791
2361112.8742-1.87422
2371211.84920.150775
2381312.03560.964402
2391013.746-3.74604
2401112.8111-1.81108
2411213.8341-1.8341
242812.0601-4.06009
2431211.60870.39128
2441213.0053-1.00533
2451514.43190.568128
2461112.7952-1.79516
2471313.2469-0.246867
2481411.11772.88228
2491011.5041-1.50414
2501211.3890.610961
2511512.71452.28552
2521313.0476-0.0475719
2531313.1529-0.152936
2541313.8923-0.892279
2551213.011-1.01097
2561213.2448-1.24479
257914.2069-5.20692
258912.8152-3.81524
2591513.16431.83572
2601012.1882-2.1882
2611412.97881.02124
2621512.76062.23944
263712.581-5.58096
2641413.34730.652748

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 14 & 12.5123 & 1.48772 \tabularnewline
2 & 18 & 14.7781 & 3.22189 \tabularnewline
3 & 11 & 14.0723 & -3.07225 \tabularnewline
4 & 12 & 13.32 & -1.32 \tabularnewline
5 & 16 & 13.8341 & 2.16587 \tabularnewline
6 & 18 & 13.698 & 4.30197 \tabularnewline
7 & 14 & 13.566 & 0.434006 \tabularnewline
8 & 14 & 14.2673 & -0.26734 \tabularnewline
9 & 15 & 13.7625 & 1.23753 \tabularnewline
10 & 15 & 14.1408 & 0.859208 \tabularnewline
11 & 17 & 14.4876 & 2.51238 \tabularnewline
12 & 19 & 12.9488 & 6.05118 \tabularnewline
13 & 10 & 13.8138 & -3.81382 \tabularnewline
14 & 16 & 13.0963 & 2.90369 \tabularnewline
15 & 18 & 15.0654 & 2.93459 \tabularnewline
16 & 14 & 12.8339 & 1.16615 \tabularnewline
17 & 14 & 13.9849 & 0.0150664 \tabularnewline
18 & 17 & 15.9078 & 1.09223 \tabularnewline
19 & 14 & 14.0976 & -0.0975745 \tabularnewline
20 & 16 & 12.9632 & 3.03684 \tabularnewline
21 & 18 & 13.5118 & 4.48821 \tabularnewline
22 & 11 & 13.5781 & -2.57807 \tabularnewline
23 & 14 & 13.7023 & 0.297742 \tabularnewline
24 & 12 & 13.1544 & -1.1544 \tabularnewline
25 & 17 & 15.1616 & 1.83841 \tabularnewline
26 & 9 & 14.8765 & -5.87647 \tabularnewline
27 & 16 & 14.2762 & 1.72376 \tabularnewline
28 & 14 & 13.5798 & 0.420198 \tabularnewline
29 & 15 & 14.273 & 0.726956 \tabularnewline
30 & 11 & 13.2416 & -2.24165 \tabularnewline
31 & 16 & 14.1 & 1.90002 \tabularnewline
32 & 13 & 11.789 & 1.21099 \tabularnewline
33 & 17 & 13.5703 & 3.42966 \tabularnewline
34 & 15 & 14.712 & 0.288049 \tabularnewline
35 & 14 & 13.6377 & 0.362281 \tabularnewline
36 & 16 & 12.6006 & 3.39937 \tabularnewline
37 & 9 & 11.9959 & -2.99594 \tabularnewline
38 & 15 & 13.5612 & 1.43883 \tabularnewline
39 & 17 & 13.9803 & 3.01966 \tabularnewline
40 & 13 & 13.798 & -0.79803 \tabularnewline
41 & 15 & 14.161 & 0.839017 \tabularnewline
42 & 16 & 13.7291 & 2.27086 \tabularnewline
43 & 16 & 13.8096 & 2.19042 \tabularnewline
44 & 12 & 12.3757 & -0.375715 \tabularnewline
45 & 15 & 13.4551 & 1.54492 \tabularnewline
46 & 11 & 12.8382 & -1.83823 \tabularnewline
47 & 15 & 13.3386 & 1.66141 \tabularnewline
48 & 15 & 13.9 & 1.10001 \tabularnewline
49 & 17 & 14.1904 & 2.80964 \tabularnewline
50 & 13 & 13.864 & -0.863973 \tabularnewline
51 & 16 & 13.9342 & 2.06575 \tabularnewline
52 & 14 & 13.1377 & 0.862254 \tabularnewline
53 & 11 & 12.5349 & -1.53494 \tabularnewline
54 & 12 & 13.4022 & -1.40223 \tabularnewline
55 & 12 & 11.9028 & 0.0971685 \tabularnewline
56 & 15 & 13.9002 & 1.09981 \tabularnewline
57 & 16 & 14.2608 & 1.73925 \tabularnewline
58 & 15 & 13.4766 & 1.52344 \tabularnewline
59 & 12 & 13.9458 & -1.94579 \tabularnewline
60 & 12 & 13.8686 & -1.8686 \tabularnewline
61 & 8 & 11.793 & -3.79296 \tabularnewline
62 & 13 & 14.4049 & -1.40489 \tabularnewline
63 & 11 & 14.4568 & -3.4568 \tabularnewline
64 & 14 & 12.2545 & 1.74555 \tabularnewline
65 & 15 & 12.8449 & 2.15508 \tabularnewline
66 & 10 & 14.7107 & -4.7107 \tabularnewline
67 & 11 & 14.0871 & -3.0871 \tabularnewline
68 & 12 & 14.1974 & -2.19743 \tabularnewline
69 & 15 & 12.8621 & 2.13789 \tabularnewline
70 & 15 & 13.846 & 1.15398 \tabularnewline
71 & 14 & 12.6123 & 1.38766 \tabularnewline
72 & 16 & 12.406 & 3.59398 \tabularnewline
73 & 15 & 14.9584 & 0.0415849 \tabularnewline
74 & 15 & 14.4027 & 0.597277 \tabularnewline
75 & 13 & 14.6077 & -1.60771 \tabularnewline
76 & 12 & 14.7704 & -2.7704 \tabularnewline
77 & 17 & 13.9819 & 3.01805 \tabularnewline
78 & 13 & 13.744 & -0.744016 \tabularnewline
79 & 15 & 13.4108 & 1.58918 \tabularnewline
80 & 13 & 12.9122 & 0.087834 \tabularnewline
81 & 15 & 14.3645 & 0.635535 \tabularnewline
82 & 15 & 13.9663 & 1.03368 \tabularnewline
83 & 16 & 13.9177 & 2.08233 \tabularnewline
84 & 15 & 13.6832 & 1.31678 \tabularnewline
85 & 14 & 14.1858 & -0.185751 \tabularnewline
86 & 15 & 13.9275 & 1.0725 \tabularnewline
87 & 14 & 13.7421 & 0.25788 \tabularnewline
88 & 13 & 12.6738 & 0.32623 \tabularnewline
89 & 7 & 13.592 & -6.59196 \tabularnewline
90 & 17 & 13.122 & 3.87804 \tabularnewline
91 & 13 & 13.1373 & -0.137299 \tabularnewline
92 & 15 & 14.3689 & 0.631087 \tabularnewline
93 & 14 & 14.2253 & -0.225325 \tabularnewline
94 & 13 & 13.6172 & -0.61716 \tabularnewline
95 & 16 & 14.6362 & 1.3638 \tabularnewline
96 & 12 & 13.9009 & -1.90095 \tabularnewline
97 & 14 & 14.3154 & -0.315382 \tabularnewline
98 & 17 & 14.6092 & 2.39083 \tabularnewline
99 & 15 & 13.7416 & 1.25836 \tabularnewline
100 & 17 & 14.3719 & 2.62812 \tabularnewline
101 & 12 & 14.1353 & -2.13525 \tabularnewline
102 & 16 & 15.6537 & 0.346287 \tabularnewline
103 & 11 & 13.2598 & -2.25978 \tabularnewline
104 & 15 & 14.3926 & 0.607412 \tabularnewline
105 & 9 & 13.3157 & -4.31567 \tabularnewline
106 & 16 & 14.555 & 1.44495 \tabularnewline
107 & 15 & 14.2051 & 0.794947 \tabularnewline
108 & 10 & 12.9561 & -2.95609 \tabularnewline
109 & 10 & 11.9899 & -1.98993 \tabularnewline
110 & 15 & 14.5956 & 0.404427 \tabularnewline
111 & 11 & 13.9661 & -2.96611 \tabularnewline
112 & 13 & 15.1184 & -2.11835 \tabularnewline
113 & 14 & 11.2279 & 2.77206 \tabularnewline
114 & 18 & 13.5026 & 4.49741 \tabularnewline
115 & 16 & 15.292 & 0.708007 \tabularnewline
116 & 14 & 12.5058 & 1.4942 \tabularnewline
117 & 14 & 13.3083 & 0.691683 \tabularnewline
118 & 14 & 13.1497 & 0.850258 \tabularnewline
119 & 14 & 15.2077 & -1.20768 \tabularnewline
120 & 12 & 12.2683 & -0.268343 \tabularnewline
121 & 14 & 14.0207 & -0.0207217 \tabularnewline
122 & 15 & 14.5791 & 0.42085 \tabularnewline
123 & 15 & 14.3564 & 0.643584 \tabularnewline
124 & 15 & 13.8637 & 1.13635 \tabularnewline
125 & 13 & 14.27 & -1.27001 \tabularnewline
126 & 17 & 14.9961 & 2.00388 \tabularnewline
127 & 17 & 14.6912 & 2.30882 \tabularnewline
128 & 19 & 14.2754 & 4.72456 \tabularnewline
129 & 15 & 13.1821 & 1.81791 \tabularnewline
130 & 13 & 13.8094 & -0.809386 \tabularnewline
131 & 9 & 12.1568 & -3.1568 \tabularnewline
132 & 15 & 14.4962 & 0.503802 \tabularnewline
133 & 15 & 12.4393 & 2.56075 \tabularnewline
134 & 15 & 13.8301 & 1.16995 \tabularnewline
135 & 16 & 14.4162 & 1.5838 \tabularnewline
136 & 11 & 11.9241 & -0.924121 \tabularnewline
137 & 14 & 13.2249 & 0.775073 \tabularnewline
138 & 11 & 11.7356 & -0.735636 \tabularnewline
139 & 15 & 12.7019 & 2.29813 \tabularnewline
140 & 13 & 12.671 & 0.328952 \tabularnewline
141 & 15 & 12.791 & 2.20903 \tabularnewline
142 & 16 & 14.3574 & 1.64263 \tabularnewline
143 & 14 & 14.8755 & -0.875475 \tabularnewline
144 & 15 & 14.0329 & 0.967119 \tabularnewline
145 & 16 & 13.9561 & 2.04386 \tabularnewline
146 & 16 & 14.4568 & 1.54319 \tabularnewline
147 & 11 & 12.7309 & -1.73091 \tabularnewline
148 & 12 & 14.0354 & -2.03543 \tabularnewline
149 & 9 & 13.4254 & -4.4254 \tabularnewline
150 & 16 & 13.7232 & 2.27684 \tabularnewline
151 & 13 & 14.505 & -1.50498 \tabularnewline
152 & 16 & 13.931 & 2.06901 \tabularnewline
153 & 12 & 14.0284 & -2.02843 \tabularnewline
154 & 9 & 13.5113 & -4.51133 \tabularnewline
155 & 13 & 13.0403 & -0.040296 \tabularnewline
156 & 13 & 13.1373 & -0.137299 \tabularnewline
157 & 14 & 13.1185 & 0.881464 \tabularnewline
158 & 19 & 14.2754 & 4.72456 \tabularnewline
159 & 13 & 14.6567 & -1.65669 \tabularnewline
160 & 12 & 13.8376 & -1.83762 \tabularnewline
161 & 13 & 13.187 & -0.187036 \tabularnewline
162 & 10 & 12.6544 & -2.65445 \tabularnewline
163 & 14 & 13.4958 & 0.504232 \tabularnewline
164 & 16 & 14.9014 & 1.09861 \tabularnewline
165 & 10 & 13.8048 & -3.80482 \tabularnewline
166 & 11 & 11.2595 & -0.259451 \tabularnewline
167 & 14 & 13.7612 & 0.238816 \tabularnewline
168 & 12 & 12.6954 & -0.695431 \tabularnewline
169 & 9 & 14.0024 & -5.00242 \tabularnewline
170 & 9 & 13.7961 & -4.7961 \tabularnewline
171 & 11 & 12.1924 & -1.19244 \tabularnewline
172 & 16 & 14.0628 & 1.93722 \tabularnewline
173 & 9 & 13.7786 & -4.77857 \tabularnewline
174 & 13 & 11.4866 & 1.51338 \tabularnewline
175 & 16 & 13.1694 & 2.83057 \tabularnewline
176 & 13 & 14.0545 & -1.05454 \tabularnewline
177 & 9 & 13.0047 & -4.00467 \tabularnewline
178 & 12 & 12.7825 & -0.7825 \tabularnewline
179 & 16 & 13.1119 & 2.88814 \tabularnewline
180 & 11 & 13.4467 & -2.44673 \tabularnewline
181 & 14 & 12.9697 & 1.03033 \tabularnewline
182 & 13 & 12.6344 & 0.365557 \tabularnewline
183 & 15 & 14.3596 & 0.640413 \tabularnewline
184 & 14 & 14.3646 & -0.364606 \tabularnewline
185 & 16 & 12.884 & 3.11596 \tabularnewline
186 & 13 & 14.1477 & -1.1477 \tabularnewline
187 & 14 & 14.3485 & -0.348549 \tabularnewline
188 & 15 & 14.1962 & 0.803849 \tabularnewline
189 & 13 & 11.5806 & 1.4194 \tabularnewline
190 & 11 & 12.224 & -1.224 \tabularnewline
191 & 11 & 11.4622 & -0.462243 \tabularnewline
192 & 14 & 14.3471 & -0.347132 \tabularnewline
193 & 15 & 12.8675 & 2.13249 \tabularnewline
194 & 11 & 13.4218 & -2.42182 \tabularnewline
195 & 15 & 13.2595 & 1.74054 \tabularnewline
196 & 12 & 13.7893 & -1.78934 \tabularnewline
197 & 14 & 14.3392 & -0.339217 \tabularnewline
198 & 14 & 14.8561 & -0.856086 \tabularnewline
199 & 8 & 12.9014 & -4.90144 \tabularnewline
200 & 13 & 13.9483 & -0.948271 \tabularnewline
201 & 9 & 13.5915 & -4.59148 \tabularnewline
202 & 15 & 12.9675 & 2.03247 \tabularnewline
203 & 17 & 13.0992 & 3.90081 \tabularnewline
204 & 13 & 12.0558 & 0.944198 \tabularnewline
205 & 15 & 13.7101 & 1.28991 \tabularnewline
206 & 15 & 13.897 & 1.103 \tabularnewline
207 & 14 & 14.8053 & -0.805268 \tabularnewline
208 & 16 & 12.8131 & 3.18695 \tabularnewline
209 & 13 & 12.8951 & 0.104931 \tabularnewline
210 & 16 & 14.4641 & 1.53592 \tabularnewline
211 & 9 & 12.6677 & -3.66772 \tabularnewline
212 & 16 & 14.2396 & 1.76042 \tabularnewline
213 & 11 & 14.6376 & -3.63759 \tabularnewline
214 & 10 & 14.0014 & -4.00135 \tabularnewline
215 & 11 & 13.7049 & -2.70487 \tabularnewline
216 & 15 & 12.8201 & 2.17993 \tabularnewline
217 & 17 & 14.9117 & 2.08832 \tabularnewline
218 & 14 & 14.396 & -0.396037 \tabularnewline
219 & 8 & 12.768 & -4.76804 \tabularnewline
220 & 15 & 14.4852 & 0.514757 \tabularnewline
221 & 11 & 13.6257 & -2.62572 \tabularnewline
222 & 16 & 12.8768 & 3.12317 \tabularnewline
223 & 10 & 13.7018 & -3.70184 \tabularnewline
224 & 15 & 13.0201 & 1.97989 \tabularnewline
225 & 9 & 11.3255 & -2.32554 \tabularnewline
226 & 16 & 12.65 & 3.34997 \tabularnewline
227 & 19 & 12.3403 & 6.65967 \tabularnewline
228 & 12 & 12.972 & -0.972009 \tabularnewline
229 & 8 & 12.5787 & -4.57869 \tabularnewline
230 & 11 & 13.04 & -2.04003 \tabularnewline
231 & 14 & 13.2385 & 0.761502 \tabularnewline
232 & 9 & 12.4579 & -3.45791 \tabularnewline
233 & 15 & 13.0253 & 1.97473 \tabularnewline
234 & 13 & 14.6087 & -1.60873 \tabularnewline
235 & 16 & 13.3321 & 2.66791 \tabularnewline
236 & 11 & 12.8742 & -1.87422 \tabularnewline
237 & 12 & 11.8492 & 0.150775 \tabularnewline
238 & 13 & 12.0356 & 0.964402 \tabularnewline
239 & 10 & 13.746 & -3.74604 \tabularnewline
240 & 11 & 12.8111 & -1.81108 \tabularnewline
241 & 12 & 13.8341 & -1.8341 \tabularnewline
242 & 8 & 12.0601 & -4.06009 \tabularnewline
243 & 12 & 11.6087 & 0.39128 \tabularnewline
244 & 12 & 13.0053 & -1.00533 \tabularnewline
245 & 15 & 14.4319 & 0.568128 \tabularnewline
246 & 11 & 12.7952 & -1.79516 \tabularnewline
247 & 13 & 13.2469 & -0.246867 \tabularnewline
248 & 14 & 11.1177 & 2.88228 \tabularnewline
249 & 10 & 11.5041 & -1.50414 \tabularnewline
250 & 12 & 11.389 & 0.610961 \tabularnewline
251 & 15 & 12.7145 & 2.28552 \tabularnewline
252 & 13 & 13.0476 & -0.0475719 \tabularnewline
253 & 13 & 13.1529 & -0.152936 \tabularnewline
254 & 13 & 13.8923 & -0.892279 \tabularnewline
255 & 12 & 13.011 & -1.01097 \tabularnewline
256 & 12 & 13.2448 & -1.24479 \tabularnewline
257 & 9 & 14.2069 & -5.20692 \tabularnewline
258 & 9 & 12.8152 & -3.81524 \tabularnewline
259 & 15 & 13.1643 & 1.83572 \tabularnewline
260 & 10 & 12.1882 & -2.1882 \tabularnewline
261 & 14 & 12.9788 & 1.02124 \tabularnewline
262 & 15 & 12.7606 & 2.23944 \tabularnewline
263 & 7 & 12.581 & -5.58096 \tabularnewline
264 & 14 & 13.3473 & 0.652748 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=272741&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]14[/C][C]12.5123[/C][C]1.48772[/C][/ROW]
[ROW][C]2[/C][C]18[/C][C]14.7781[/C][C]3.22189[/C][/ROW]
[ROW][C]3[/C][C]11[/C][C]14.0723[/C][C]-3.07225[/C][/ROW]
[ROW][C]4[/C][C]12[/C][C]13.32[/C][C]-1.32[/C][/ROW]
[ROW][C]5[/C][C]16[/C][C]13.8341[/C][C]2.16587[/C][/ROW]
[ROW][C]6[/C][C]18[/C][C]13.698[/C][C]4.30197[/C][/ROW]
[ROW][C]7[/C][C]14[/C][C]13.566[/C][C]0.434006[/C][/ROW]
[ROW][C]8[/C][C]14[/C][C]14.2673[/C][C]-0.26734[/C][/ROW]
[ROW][C]9[/C][C]15[/C][C]13.7625[/C][C]1.23753[/C][/ROW]
[ROW][C]10[/C][C]15[/C][C]14.1408[/C][C]0.859208[/C][/ROW]
[ROW][C]11[/C][C]17[/C][C]14.4876[/C][C]2.51238[/C][/ROW]
[ROW][C]12[/C][C]19[/C][C]12.9488[/C][C]6.05118[/C][/ROW]
[ROW][C]13[/C][C]10[/C][C]13.8138[/C][C]-3.81382[/C][/ROW]
[ROW][C]14[/C][C]16[/C][C]13.0963[/C][C]2.90369[/C][/ROW]
[ROW][C]15[/C][C]18[/C][C]15.0654[/C][C]2.93459[/C][/ROW]
[ROW][C]16[/C][C]14[/C][C]12.8339[/C][C]1.16615[/C][/ROW]
[ROW][C]17[/C][C]14[/C][C]13.9849[/C][C]0.0150664[/C][/ROW]
[ROW][C]18[/C][C]17[/C][C]15.9078[/C][C]1.09223[/C][/ROW]
[ROW][C]19[/C][C]14[/C][C]14.0976[/C][C]-0.0975745[/C][/ROW]
[ROW][C]20[/C][C]16[/C][C]12.9632[/C][C]3.03684[/C][/ROW]
[ROW][C]21[/C][C]18[/C][C]13.5118[/C][C]4.48821[/C][/ROW]
[ROW][C]22[/C][C]11[/C][C]13.5781[/C][C]-2.57807[/C][/ROW]
[ROW][C]23[/C][C]14[/C][C]13.7023[/C][C]0.297742[/C][/ROW]
[ROW][C]24[/C][C]12[/C][C]13.1544[/C][C]-1.1544[/C][/ROW]
[ROW][C]25[/C][C]17[/C][C]15.1616[/C][C]1.83841[/C][/ROW]
[ROW][C]26[/C][C]9[/C][C]14.8765[/C][C]-5.87647[/C][/ROW]
[ROW][C]27[/C][C]16[/C][C]14.2762[/C][C]1.72376[/C][/ROW]
[ROW][C]28[/C][C]14[/C][C]13.5798[/C][C]0.420198[/C][/ROW]
[ROW][C]29[/C][C]15[/C][C]14.273[/C][C]0.726956[/C][/ROW]
[ROW][C]30[/C][C]11[/C][C]13.2416[/C][C]-2.24165[/C][/ROW]
[ROW][C]31[/C][C]16[/C][C]14.1[/C][C]1.90002[/C][/ROW]
[ROW][C]32[/C][C]13[/C][C]11.789[/C][C]1.21099[/C][/ROW]
[ROW][C]33[/C][C]17[/C][C]13.5703[/C][C]3.42966[/C][/ROW]
[ROW][C]34[/C][C]15[/C][C]14.712[/C][C]0.288049[/C][/ROW]
[ROW][C]35[/C][C]14[/C][C]13.6377[/C][C]0.362281[/C][/ROW]
[ROW][C]36[/C][C]16[/C][C]12.6006[/C][C]3.39937[/C][/ROW]
[ROW][C]37[/C][C]9[/C][C]11.9959[/C][C]-2.99594[/C][/ROW]
[ROW][C]38[/C][C]15[/C][C]13.5612[/C][C]1.43883[/C][/ROW]
[ROW][C]39[/C][C]17[/C][C]13.9803[/C][C]3.01966[/C][/ROW]
[ROW][C]40[/C][C]13[/C][C]13.798[/C][C]-0.79803[/C][/ROW]
[ROW][C]41[/C][C]15[/C][C]14.161[/C][C]0.839017[/C][/ROW]
[ROW][C]42[/C][C]16[/C][C]13.7291[/C][C]2.27086[/C][/ROW]
[ROW][C]43[/C][C]16[/C][C]13.8096[/C][C]2.19042[/C][/ROW]
[ROW][C]44[/C][C]12[/C][C]12.3757[/C][C]-0.375715[/C][/ROW]
[ROW][C]45[/C][C]15[/C][C]13.4551[/C][C]1.54492[/C][/ROW]
[ROW][C]46[/C][C]11[/C][C]12.8382[/C][C]-1.83823[/C][/ROW]
[ROW][C]47[/C][C]15[/C][C]13.3386[/C][C]1.66141[/C][/ROW]
[ROW][C]48[/C][C]15[/C][C]13.9[/C][C]1.10001[/C][/ROW]
[ROW][C]49[/C][C]17[/C][C]14.1904[/C][C]2.80964[/C][/ROW]
[ROW][C]50[/C][C]13[/C][C]13.864[/C][C]-0.863973[/C][/ROW]
[ROW][C]51[/C][C]16[/C][C]13.9342[/C][C]2.06575[/C][/ROW]
[ROW][C]52[/C][C]14[/C][C]13.1377[/C][C]0.862254[/C][/ROW]
[ROW][C]53[/C][C]11[/C][C]12.5349[/C][C]-1.53494[/C][/ROW]
[ROW][C]54[/C][C]12[/C][C]13.4022[/C][C]-1.40223[/C][/ROW]
[ROW][C]55[/C][C]12[/C][C]11.9028[/C][C]0.0971685[/C][/ROW]
[ROW][C]56[/C][C]15[/C][C]13.9002[/C][C]1.09981[/C][/ROW]
[ROW][C]57[/C][C]16[/C][C]14.2608[/C][C]1.73925[/C][/ROW]
[ROW][C]58[/C][C]15[/C][C]13.4766[/C][C]1.52344[/C][/ROW]
[ROW][C]59[/C][C]12[/C][C]13.9458[/C][C]-1.94579[/C][/ROW]
[ROW][C]60[/C][C]12[/C][C]13.8686[/C][C]-1.8686[/C][/ROW]
[ROW][C]61[/C][C]8[/C][C]11.793[/C][C]-3.79296[/C][/ROW]
[ROW][C]62[/C][C]13[/C][C]14.4049[/C][C]-1.40489[/C][/ROW]
[ROW][C]63[/C][C]11[/C][C]14.4568[/C][C]-3.4568[/C][/ROW]
[ROW][C]64[/C][C]14[/C][C]12.2545[/C][C]1.74555[/C][/ROW]
[ROW][C]65[/C][C]15[/C][C]12.8449[/C][C]2.15508[/C][/ROW]
[ROW][C]66[/C][C]10[/C][C]14.7107[/C][C]-4.7107[/C][/ROW]
[ROW][C]67[/C][C]11[/C][C]14.0871[/C][C]-3.0871[/C][/ROW]
[ROW][C]68[/C][C]12[/C][C]14.1974[/C][C]-2.19743[/C][/ROW]
[ROW][C]69[/C][C]15[/C][C]12.8621[/C][C]2.13789[/C][/ROW]
[ROW][C]70[/C][C]15[/C][C]13.846[/C][C]1.15398[/C][/ROW]
[ROW][C]71[/C][C]14[/C][C]12.6123[/C][C]1.38766[/C][/ROW]
[ROW][C]72[/C][C]16[/C][C]12.406[/C][C]3.59398[/C][/ROW]
[ROW][C]73[/C][C]15[/C][C]14.9584[/C][C]0.0415849[/C][/ROW]
[ROW][C]74[/C][C]15[/C][C]14.4027[/C][C]0.597277[/C][/ROW]
[ROW][C]75[/C][C]13[/C][C]14.6077[/C][C]-1.60771[/C][/ROW]
[ROW][C]76[/C][C]12[/C][C]14.7704[/C][C]-2.7704[/C][/ROW]
[ROW][C]77[/C][C]17[/C][C]13.9819[/C][C]3.01805[/C][/ROW]
[ROW][C]78[/C][C]13[/C][C]13.744[/C][C]-0.744016[/C][/ROW]
[ROW][C]79[/C][C]15[/C][C]13.4108[/C][C]1.58918[/C][/ROW]
[ROW][C]80[/C][C]13[/C][C]12.9122[/C][C]0.087834[/C][/ROW]
[ROW][C]81[/C][C]15[/C][C]14.3645[/C][C]0.635535[/C][/ROW]
[ROW][C]82[/C][C]15[/C][C]13.9663[/C][C]1.03368[/C][/ROW]
[ROW][C]83[/C][C]16[/C][C]13.9177[/C][C]2.08233[/C][/ROW]
[ROW][C]84[/C][C]15[/C][C]13.6832[/C][C]1.31678[/C][/ROW]
[ROW][C]85[/C][C]14[/C][C]14.1858[/C][C]-0.185751[/C][/ROW]
[ROW][C]86[/C][C]15[/C][C]13.9275[/C][C]1.0725[/C][/ROW]
[ROW][C]87[/C][C]14[/C][C]13.7421[/C][C]0.25788[/C][/ROW]
[ROW][C]88[/C][C]13[/C][C]12.6738[/C][C]0.32623[/C][/ROW]
[ROW][C]89[/C][C]7[/C][C]13.592[/C][C]-6.59196[/C][/ROW]
[ROW][C]90[/C][C]17[/C][C]13.122[/C][C]3.87804[/C][/ROW]
[ROW][C]91[/C][C]13[/C][C]13.1373[/C][C]-0.137299[/C][/ROW]
[ROW][C]92[/C][C]15[/C][C]14.3689[/C][C]0.631087[/C][/ROW]
[ROW][C]93[/C][C]14[/C][C]14.2253[/C][C]-0.225325[/C][/ROW]
[ROW][C]94[/C][C]13[/C][C]13.6172[/C][C]-0.61716[/C][/ROW]
[ROW][C]95[/C][C]16[/C][C]14.6362[/C][C]1.3638[/C][/ROW]
[ROW][C]96[/C][C]12[/C][C]13.9009[/C][C]-1.90095[/C][/ROW]
[ROW][C]97[/C][C]14[/C][C]14.3154[/C][C]-0.315382[/C][/ROW]
[ROW][C]98[/C][C]17[/C][C]14.6092[/C][C]2.39083[/C][/ROW]
[ROW][C]99[/C][C]15[/C][C]13.7416[/C][C]1.25836[/C][/ROW]
[ROW][C]100[/C][C]17[/C][C]14.3719[/C][C]2.62812[/C][/ROW]
[ROW][C]101[/C][C]12[/C][C]14.1353[/C][C]-2.13525[/C][/ROW]
[ROW][C]102[/C][C]16[/C][C]15.6537[/C][C]0.346287[/C][/ROW]
[ROW][C]103[/C][C]11[/C][C]13.2598[/C][C]-2.25978[/C][/ROW]
[ROW][C]104[/C][C]15[/C][C]14.3926[/C][C]0.607412[/C][/ROW]
[ROW][C]105[/C][C]9[/C][C]13.3157[/C][C]-4.31567[/C][/ROW]
[ROW][C]106[/C][C]16[/C][C]14.555[/C][C]1.44495[/C][/ROW]
[ROW][C]107[/C][C]15[/C][C]14.2051[/C][C]0.794947[/C][/ROW]
[ROW][C]108[/C][C]10[/C][C]12.9561[/C][C]-2.95609[/C][/ROW]
[ROW][C]109[/C][C]10[/C][C]11.9899[/C][C]-1.98993[/C][/ROW]
[ROW][C]110[/C][C]15[/C][C]14.5956[/C][C]0.404427[/C][/ROW]
[ROW][C]111[/C][C]11[/C][C]13.9661[/C][C]-2.96611[/C][/ROW]
[ROW][C]112[/C][C]13[/C][C]15.1184[/C][C]-2.11835[/C][/ROW]
[ROW][C]113[/C][C]14[/C][C]11.2279[/C][C]2.77206[/C][/ROW]
[ROW][C]114[/C][C]18[/C][C]13.5026[/C][C]4.49741[/C][/ROW]
[ROW][C]115[/C][C]16[/C][C]15.292[/C][C]0.708007[/C][/ROW]
[ROW][C]116[/C][C]14[/C][C]12.5058[/C][C]1.4942[/C][/ROW]
[ROW][C]117[/C][C]14[/C][C]13.3083[/C][C]0.691683[/C][/ROW]
[ROW][C]118[/C][C]14[/C][C]13.1497[/C][C]0.850258[/C][/ROW]
[ROW][C]119[/C][C]14[/C][C]15.2077[/C][C]-1.20768[/C][/ROW]
[ROW][C]120[/C][C]12[/C][C]12.2683[/C][C]-0.268343[/C][/ROW]
[ROW][C]121[/C][C]14[/C][C]14.0207[/C][C]-0.0207217[/C][/ROW]
[ROW][C]122[/C][C]15[/C][C]14.5791[/C][C]0.42085[/C][/ROW]
[ROW][C]123[/C][C]15[/C][C]14.3564[/C][C]0.643584[/C][/ROW]
[ROW][C]124[/C][C]15[/C][C]13.8637[/C][C]1.13635[/C][/ROW]
[ROW][C]125[/C][C]13[/C][C]14.27[/C][C]-1.27001[/C][/ROW]
[ROW][C]126[/C][C]17[/C][C]14.9961[/C][C]2.00388[/C][/ROW]
[ROW][C]127[/C][C]17[/C][C]14.6912[/C][C]2.30882[/C][/ROW]
[ROW][C]128[/C][C]19[/C][C]14.2754[/C][C]4.72456[/C][/ROW]
[ROW][C]129[/C][C]15[/C][C]13.1821[/C][C]1.81791[/C][/ROW]
[ROW][C]130[/C][C]13[/C][C]13.8094[/C][C]-0.809386[/C][/ROW]
[ROW][C]131[/C][C]9[/C][C]12.1568[/C][C]-3.1568[/C][/ROW]
[ROW][C]132[/C][C]15[/C][C]14.4962[/C][C]0.503802[/C][/ROW]
[ROW][C]133[/C][C]15[/C][C]12.4393[/C][C]2.56075[/C][/ROW]
[ROW][C]134[/C][C]15[/C][C]13.8301[/C][C]1.16995[/C][/ROW]
[ROW][C]135[/C][C]16[/C][C]14.4162[/C][C]1.5838[/C][/ROW]
[ROW][C]136[/C][C]11[/C][C]11.9241[/C][C]-0.924121[/C][/ROW]
[ROW][C]137[/C][C]14[/C][C]13.2249[/C][C]0.775073[/C][/ROW]
[ROW][C]138[/C][C]11[/C][C]11.7356[/C][C]-0.735636[/C][/ROW]
[ROW][C]139[/C][C]15[/C][C]12.7019[/C][C]2.29813[/C][/ROW]
[ROW][C]140[/C][C]13[/C][C]12.671[/C][C]0.328952[/C][/ROW]
[ROW][C]141[/C][C]15[/C][C]12.791[/C][C]2.20903[/C][/ROW]
[ROW][C]142[/C][C]16[/C][C]14.3574[/C][C]1.64263[/C][/ROW]
[ROW][C]143[/C][C]14[/C][C]14.8755[/C][C]-0.875475[/C][/ROW]
[ROW][C]144[/C][C]15[/C][C]14.0329[/C][C]0.967119[/C][/ROW]
[ROW][C]145[/C][C]16[/C][C]13.9561[/C][C]2.04386[/C][/ROW]
[ROW][C]146[/C][C]16[/C][C]14.4568[/C][C]1.54319[/C][/ROW]
[ROW][C]147[/C][C]11[/C][C]12.7309[/C][C]-1.73091[/C][/ROW]
[ROW][C]148[/C][C]12[/C][C]14.0354[/C][C]-2.03543[/C][/ROW]
[ROW][C]149[/C][C]9[/C][C]13.4254[/C][C]-4.4254[/C][/ROW]
[ROW][C]150[/C][C]16[/C][C]13.7232[/C][C]2.27684[/C][/ROW]
[ROW][C]151[/C][C]13[/C][C]14.505[/C][C]-1.50498[/C][/ROW]
[ROW][C]152[/C][C]16[/C][C]13.931[/C][C]2.06901[/C][/ROW]
[ROW][C]153[/C][C]12[/C][C]14.0284[/C][C]-2.02843[/C][/ROW]
[ROW][C]154[/C][C]9[/C][C]13.5113[/C][C]-4.51133[/C][/ROW]
[ROW][C]155[/C][C]13[/C][C]13.0403[/C][C]-0.040296[/C][/ROW]
[ROW][C]156[/C][C]13[/C][C]13.1373[/C][C]-0.137299[/C][/ROW]
[ROW][C]157[/C][C]14[/C][C]13.1185[/C][C]0.881464[/C][/ROW]
[ROW][C]158[/C][C]19[/C][C]14.2754[/C][C]4.72456[/C][/ROW]
[ROW][C]159[/C][C]13[/C][C]14.6567[/C][C]-1.65669[/C][/ROW]
[ROW][C]160[/C][C]12[/C][C]13.8376[/C][C]-1.83762[/C][/ROW]
[ROW][C]161[/C][C]13[/C][C]13.187[/C][C]-0.187036[/C][/ROW]
[ROW][C]162[/C][C]10[/C][C]12.6544[/C][C]-2.65445[/C][/ROW]
[ROW][C]163[/C][C]14[/C][C]13.4958[/C][C]0.504232[/C][/ROW]
[ROW][C]164[/C][C]16[/C][C]14.9014[/C][C]1.09861[/C][/ROW]
[ROW][C]165[/C][C]10[/C][C]13.8048[/C][C]-3.80482[/C][/ROW]
[ROW][C]166[/C][C]11[/C][C]11.2595[/C][C]-0.259451[/C][/ROW]
[ROW][C]167[/C][C]14[/C][C]13.7612[/C][C]0.238816[/C][/ROW]
[ROW][C]168[/C][C]12[/C][C]12.6954[/C][C]-0.695431[/C][/ROW]
[ROW][C]169[/C][C]9[/C][C]14.0024[/C][C]-5.00242[/C][/ROW]
[ROW][C]170[/C][C]9[/C][C]13.7961[/C][C]-4.7961[/C][/ROW]
[ROW][C]171[/C][C]11[/C][C]12.1924[/C][C]-1.19244[/C][/ROW]
[ROW][C]172[/C][C]16[/C][C]14.0628[/C][C]1.93722[/C][/ROW]
[ROW][C]173[/C][C]9[/C][C]13.7786[/C][C]-4.77857[/C][/ROW]
[ROW][C]174[/C][C]13[/C][C]11.4866[/C][C]1.51338[/C][/ROW]
[ROW][C]175[/C][C]16[/C][C]13.1694[/C][C]2.83057[/C][/ROW]
[ROW][C]176[/C][C]13[/C][C]14.0545[/C][C]-1.05454[/C][/ROW]
[ROW][C]177[/C][C]9[/C][C]13.0047[/C][C]-4.00467[/C][/ROW]
[ROW][C]178[/C][C]12[/C][C]12.7825[/C][C]-0.7825[/C][/ROW]
[ROW][C]179[/C][C]16[/C][C]13.1119[/C][C]2.88814[/C][/ROW]
[ROW][C]180[/C][C]11[/C][C]13.4467[/C][C]-2.44673[/C][/ROW]
[ROW][C]181[/C][C]14[/C][C]12.9697[/C][C]1.03033[/C][/ROW]
[ROW][C]182[/C][C]13[/C][C]12.6344[/C][C]0.365557[/C][/ROW]
[ROW][C]183[/C][C]15[/C][C]14.3596[/C][C]0.640413[/C][/ROW]
[ROW][C]184[/C][C]14[/C][C]14.3646[/C][C]-0.364606[/C][/ROW]
[ROW][C]185[/C][C]16[/C][C]12.884[/C][C]3.11596[/C][/ROW]
[ROW][C]186[/C][C]13[/C][C]14.1477[/C][C]-1.1477[/C][/ROW]
[ROW][C]187[/C][C]14[/C][C]14.3485[/C][C]-0.348549[/C][/ROW]
[ROW][C]188[/C][C]15[/C][C]14.1962[/C][C]0.803849[/C][/ROW]
[ROW][C]189[/C][C]13[/C][C]11.5806[/C][C]1.4194[/C][/ROW]
[ROW][C]190[/C][C]11[/C][C]12.224[/C][C]-1.224[/C][/ROW]
[ROW][C]191[/C][C]11[/C][C]11.4622[/C][C]-0.462243[/C][/ROW]
[ROW][C]192[/C][C]14[/C][C]14.3471[/C][C]-0.347132[/C][/ROW]
[ROW][C]193[/C][C]15[/C][C]12.8675[/C][C]2.13249[/C][/ROW]
[ROW][C]194[/C][C]11[/C][C]13.4218[/C][C]-2.42182[/C][/ROW]
[ROW][C]195[/C][C]15[/C][C]13.2595[/C][C]1.74054[/C][/ROW]
[ROW][C]196[/C][C]12[/C][C]13.7893[/C][C]-1.78934[/C][/ROW]
[ROW][C]197[/C][C]14[/C][C]14.3392[/C][C]-0.339217[/C][/ROW]
[ROW][C]198[/C][C]14[/C][C]14.8561[/C][C]-0.856086[/C][/ROW]
[ROW][C]199[/C][C]8[/C][C]12.9014[/C][C]-4.90144[/C][/ROW]
[ROW][C]200[/C][C]13[/C][C]13.9483[/C][C]-0.948271[/C][/ROW]
[ROW][C]201[/C][C]9[/C][C]13.5915[/C][C]-4.59148[/C][/ROW]
[ROW][C]202[/C][C]15[/C][C]12.9675[/C][C]2.03247[/C][/ROW]
[ROW][C]203[/C][C]17[/C][C]13.0992[/C][C]3.90081[/C][/ROW]
[ROW][C]204[/C][C]13[/C][C]12.0558[/C][C]0.944198[/C][/ROW]
[ROW][C]205[/C][C]15[/C][C]13.7101[/C][C]1.28991[/C][/ROW]
[ROW][C]206[/C][C]15[/C][C]13.897[/C][C]1.103[/C][/ROW]
[ROW][C]207[/C][C]14[/C][C]14.8053[/C][C]-0.805268[/C][/ROW]
[ROW][C]208[/C][C]16[/C][C]12.8131[/C][C]3.18695[/C][/ROW]
[ROW][C]209[/C][C]13[/C][C]12.8951[/C][C]0.104931[/C][/ROW]
[ROW][C]210[/C][C]16[/C][C]14.4641[/C][C]1.53592[/C][/ROW]
[ROW][C]211[/C][C]9[/C][C]12.6677[/C][C]-3.66772[/C][/ROW]
[ROW][C]212[/C][C]16[/C][C]14.2396[/C][C]1.76042[/C][/ROW]
[ROW][C]213[/C][C]11[/C][C]14.6376[/C][C]-3.63759[/C][/ROW]
[ROW][C]214[/C][C]10[/C][C]14.0014[/C][C]-4.00135[/C][/ROW]
[ROW][C]215[/C][C]11[/C][C]13.7049[/C][C]-2.70487[/C][/ROW]
[ROW][C]216[/C][C]15[/C][C]12.8201[/C][C]2.17993[/C][/ROW]
[ROW][C]217[/C][C]17[/C][C]14.9117[/C][C]2.08832[/C][/ROW]
[ROW][C]218[/C][C]14[/C][C]14.396[/C][C]-0.396037[/C][/ROW]
[ROW][C]219[/C][C]8[/C][C]12.768[/C][C]-4.76804[/C][/ROW]
[ROW][C]220[/C][C]15[/C][C]14.4852[/C][C]0.514757[/C][/ROW]
[ROW][C]221[/C][C]11[/C][C]13.6257[/C][C]-2.62572[/C][/ROW]
[ROW][C]222[/C][C]16[/C][C]12.8768[/C][C]3.12317[/C][/ROW]
[ROW][C]223[/C][C]10[/C][C]13.7018[/C][C]-3.70184[/C][/ROW]
[ROW][C]224[/C][C]15[/C][C]13.0201[/C][C]1.97989[/C][/ROW]
[ROW][C]225[/C][C]9[/C][C]11.3255[/C][C]-2.32554[/C][/ROW]
[ROW][C]226[/C][C]16[/C][C]12.65[/C][C]3.34997[/C][/ROW]
[ROW][C]227[/C][C]19[/C][C]12.3403[/C][C]6.65967[/C][/ROW]
[ROW][C]228[/C][C]12[/C][C]12.972[/C][C]-0.972009[/C][/ROW]
[ROW][C]229[/C][C]8[/C][C]12.5787[/C][C]-4.57869[/C][/ROW]
[ROW][C]230[/C][C]11[/C][C]13.04[/C][C]-2.04003[/C][/ROW]
[ROW][C]231[/C][C]14[/C][C]13.2385[/C][C]0.761502[/C][/ROW]
[ROW][C]232[/C][C]9[/C][C]12.4579[/C][C]-3.45791[/C][/ROW]
[ROW][C]233[/C][C]15[/C][C]13.0253[/C][C]1.97473[/C][/ROW]
[ROW][C]234[/C][C]13[/C][C]14.6087[/C][C]-1.60873[/C][/ROW]
[ROW][C]235[/C][C]16[/C][C]13.3321[/C][C]2.66791[/C][/ROW]
[ROW][C]236[/C][C]11[/C][C]12.8742[/C][C]-1.87422[/C][/ROW]
[ROW][C]237[/C][C]12[/C][C]11.8492[/C][C]0.150775[/C][/ROW]
[ROW][C]238[/C][C]13[/C][C]12.0356[/C][C]0.964402[/C][/ROW]
[ROW][C]239[/C][C]10[/C][C]13.746[/C][C]-3.74604[/C][/ROW]
[ROW][C]240[/C][C]11[/C][C]12.8111[/C][C]-1.81108[/C][/ROW]
[ROW][C]241[/C][C]12[/C][C]13.8341[/C][C]-1.8341[/C][/ROW]
[ROW][C]242[/C][C]8[/C][C]12.0601[/C][C]-4.06009[/C][/ROW]
[ROW][C]243[/C][C]12[/C][C]11.6087[/C][C]0.39128[/C][/ROW]
[ROW][C]244[/C][C]12[/C][C]13.0053[/C][C]-1.00533[/C][/ROW]
[ROW][C]245[/C][C]15[/C][C]14.4319[/C][C]0.568128[/C][/ROW]
[ROW][C]246[/C][C]11[/C][C]12.7952[/C][C]-1.79516[/C][/ROW]
[ROW][C]247[/C][C]13[/C][C]13.2469[/C][C]-0.246867[/C][/ROW]
[ROW][C]248[/C][C]14[/C][C]11.1177[/C][C]2.88228[/C][/ROW]
[ROW][C]249[/C][C]10[/C][C]11.5041[/C][C]-1.50414[/C][/ROW]
[ROW][C]250[/C][C]12[/C][C]11.389[/C][C]0.610961[/C][/ROW]
[ROW][C]251[/C][C]15[/C][C]12.7145[/C][C]2.28552[/C][/ROW]
[ROW][C]252[/C][C]13[/C][C]13.0476[/C][C]-0.0475719[/C][/ROW]
[ROW][C]253[/C][C]13[/C][C]13.1529[/C][C]-0.152936[/C][/ROW]
[ROW][C]254[/C][C]13[/C][C]13.8923[/C][C]-0.892279[/C][/ROW]
[ROW][C]255[/C][C]12[/C][C]13.011[/C][C]-1.01097[/C][/ROW]
[ROW][C]256[/C][C]12[/C][C]13.2448[/C][C]-1.24479[/C][/ROW]
[ROW][C]257[/C][C]9[/C][C]14.2069[/C][C]-5.20692[/C][/ROW]
[ROW][C]258[/C][C]9[/C][C]12.8152[/C][C]-3.81524[/C][/ROW]
[ROW][C]259[/C][C]15[/C][C]13.1643[/C][C]1.83572[/C][/ROW]
[ROW][C]260[/C][C]10[/C][C]12.1882[/C][C]-2.1882[/C][/ROW]
[ROW][C]261[/C][C]14[/C][C]12.9788[/C][C]1.02124[/C][/ROW]
[ROW][C]262[/C][C]15[/C][C]12.7606[/C][C]2.23944[/C][/ROW]
[ROW][C]263[/C][C]7[/C][C]12.581[/C][C]-5.58096[/C][/ROW]
[ROW][C]264[/C][C]14[/C][C]13.3473[/C][C]0.652748[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=272741&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=272741&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
11412.51231.48772
21814.77813.22189
31114.0723-3.07225
41213.32-1.32
51613.83412.16587
61813.6984.30197
71413.5660.434006
81414.2673-0.26734
91513.76251.23753
101514.14080.859208
111714.48762.51238
121912.94886.05118
131013.8138-3.81382
141613.09632.90369
151815.06542.93459
161412.83391.16615
171413.98490.0150664
181715.90781.09223
191414.0976-0.0975745
201612.96323.03684
211813.51184.48821
221113.5781-2.57807
231413.70230.297742
241213.1544-1.1544
251715.16161.83841
26914.8765-5.87647
271614.27621.72376
281413.57980.420198
291514.2730.726956
301113.2416-2.24165
311614.11.90002
321311.7891.21099
331713.57033.42966
341514.7120.288049
351413.63770.362281
361612.60063.39937
37911.9959-2.99594
381513.56121.43883
391713.98033.01966
401313.798-0.79803
411514.1610.839017
421613.72912.27086
431613.80962.19042
441212.3757-0.375715
451513.45511.54492
461112.8382-1.83823
471513.33861.66141
481513.91.10001
491714.19042.80964
501313.864-0.863973
511613.93422.06575
521413.13770.862254
531112.5349-1.53494
541213.4022-1.40223
551211.90280.0971685
561513.90021.09981
571614.26081.73925
581513.47661.52344
591213.9458-1.94579
601213.8686-1.8686
61811.793-3.79296
621314.4049-1.40489
631114.4568-3.4568
641412.25451.74555
651512.84492.15508
661014.7107-4.7107
671114.0871-3.0871
681214.1974-2.19743
691512.86212.13789
701513.8461.15398
711412.61231.38766
721612.4063.59398
731514.95840.0415849
741514.40270.597277
751314.6077-1.60771
761214.7704-2.7704
771713.98193.01805
781313.744-0.744016
791513.41081.58918
801312.91220.087834
811514.36450.635535
821513.96631.03368
831613.91772.08233
841513.68321.31678
851414.1858-0.185751
861513.92751.0725
871413.74210.25788
881312.67380.32623
89713.592-6.59196
901713.1223.87804
911313.1373-0.137299
921514.36890.631087
931414.2253-0.225325
941313.6172-0.61716
951614.63621.3638
961213.9009-1.90095
971414.3154-0.315382
981714.60922.39083
991513.74161.25836
1001714.37192.62812
1011214.1353-2.13525
1021615.65370.346287
1031113.2598-2.25978
1041514.39260.607412
105913.3157-4.31567
1061614.5551.44495
1071514.20510.794947
1081012.9561-2.95609
1091011.9899-1.98993
1101514.59560.404427
1111113.9661-2.96611
1121315.1184-2.11835
1131411.22792.77206
1141813.50264.49741
1151615.2920.708007
1161412.50581.4942
1171413.30830.691683
1181413.14970.850258
1191415.2077-1.20768
1201212.2683-0.268343
1211414.0207-0.0207217
1221514.57910.42085
1231514.35640.643584
1241513.86371.13635
1251314.27-1.27001
1261714.99612.00388
1271714.69122.30882
1281914.27544.72456
1291513.18211.81791
1301313.8094-0.809386
131912.1568-3.1568
1321514.49620.503802
1331512.43932.56075
1341513.83011.16995
1351614.41621.5838
1361111.9241-0.924121
1371413.22490.775073
1381111.7356-0.735636
1391512.70192.29813
1401312.6710.328952
1411512.7912.20903
1421614.35741.64263
1431414.8755-0.875475
1441514.03290.967119
1451613.95612.04386
1461614.45681.54319
1471112.7309-1.73091
1481214.0354-2.03543
149913.4254-4.4254
1501613.72322.27684
1511314.505-1.50498
1521613.9312.06901
1531214.0284-2.02843
154913.5113-4.51133
1551313.0403-0.040296
1561313.1373-0.137299
1571413.11850.881464
1581914.27544.72456
1591314.6567-1.65669
1601213.8376-1.83762
1611313.187-0.187036
1621012.6544-2.65445
1631413.49580.504232
1641614.90141.09861
1651013.8048-3.80482
1661111.2595-0.259451
1671413.76120.238816
1681212.6954-0.695431
169914.0024-5.00242
170913.7961-4.7961
1711112.1924-1.19244
1721614.06281.93722
173913.7786-4.77857
1741311.48661.51338
1751613.16942.83057
1761314.0545-1.05454
177913.0047-4.00467
1781212.7825-0.7825
1791613.11192.88814
1801113.4467-2.44673
1811412.96971.03033
1821312.63440.365557
1831514.35960.640413
1841414.3646-0.364606
1851612.8843.11596
1861314.1477-1.1477
1871414.3485-0.348549
1881514.19620.803849
1891311.58061.4194
1901112.224-1.224
1911111.4622-0.462243
1921414.3471-0.347132
1931512.86752.13249
1941113.4218-2.42182
1951513.25951.74054
1961213.7893-1.78934
1971414.3392-0.339217
1981414.8561-0.856086
199812.9014-4.90144
2001313.9483-0.948271
201913.5915-4.59148
2021512.96752.03247
2031713.09923.90081
2041312.05580.944198
2051513.71011.28991
2061513.8971.103
2071414.8053-0.805268
2081612.81313.18695
2091312.89510.104931
2101614.46411.53592
211912.6677-3.66772
2121614.23961.76042
2131114.6376-3.63759
2141014.0014-4.00135
2151113.7049-2.70487
2161512.82012.17993
2171714.91172.08832
2181414.396-0.396037
219812.768-4.76804
2201514.48520.514757
2211113.6257-2.62572
2221612.87683.12317
2231013.7018-3.70184
2241513.02011.97989
225911.3255-2.32554
2261612.653.34997
2271912.34036.65967
2281212.972-0.972009
229812.5787-4.57869
2301113.04-2.04003
2311413.23850.761502
232912.4579-3.45791
2331513.02531.97473
2341314.6087-1.60873
2351613.33212.66791
2361112.8742-1.87422
2371211.84920.150775
2381312.03560.964402
2391013.746-3.74604
2401112.8111-1.81108
2411213.8341-1.8341
242812.0601-4.06009
2431211.60870.39128
2441213.0053-1.00533
2451514.43190.568128
2461112.7952-1.79516
2471313.2469-0.246867
2481411.11772.88228
2491011.5041-1.50414
2501211.3890.610961
2511512.71452.28552
2521313.0476-0.0475719
2531313.1529-0.152936
2541313.8923-0.892279
2551213.011-1.01097
2561213.2448-1.24479
257914.2069-5.20692
258912.8152-3.81524
2591513.16431.83572
2601012.1882-2.1882
2611412.97881.02124
2621512.76062.23944
263712.581-5.58096
2641413.34730.652748






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.1322580.2645160.867742
100.05885660.1177130.941143
110.02307070.04614130.976929
120.5672140.8655710.432786
130.8355610.3288770.164439
140.8360590.3278820.163941
150.8834220.2331550.116578
160.833850.3322990.16615
170.8041590.3916820.195841
180.7637960.4724080.236204
190.6990680.6018650.300932
200.6944670.6110660.305533
210.7684630.4630740.231537
220.8322890.3354230.167711
230.7847090.4305830.215291
240.753770.4924610.24623
250.7020090.5959810.297991
260.9512320.09753680.0487684
270.9363550.127290.0636448
280.9164120.1671760.0835878
290.8912430.2175140.108757
300.9172270.1655460.0827732
310.8977040.2045920.102296
320.8726290.2547420.127371
330.8658160.2683690.134184
340.8339210.3321580.166079
350.8045180.3909630.195482
360.779550.44090.22045
370.8704350.259130.129565
380.8432640.3134730.156736
390.8434450.313110.156555
400.8251180.3497640.174882
410.7917160.4165690.208284
420.768540.462920.23146
430.7573690.4852620.242631
440.7286110.5427780.271389
450.6911890.6176220.308811
460.7004010.5991980.299599
470.6714450.657110.328555
480.6297010.7405990.370299
490.6244860.7510270.375514
500.6005960.7988070.399404
510.5757420.8485150.424258
520.5317120.9365760.468288
530.5204880.9590240.479512
540.5026210.9947570.497379
550.4634390.9268780.536561
560.4220720.8441440.577928
570.3904730.7809470.609527
580.3564620.7129230.643538
590.3661290.7322590.633871
600.3757010.7514020.624299
610.4649160.9298320.535084
620.4555710.9111410.544429
630.5347850.9304310.465215
640.5114480.9771030.488552
650.497320.9946410.50268
660.6437190.7125610.356281
670.6783310.6433380.321669
680.6796790.6406410.320321
690.6607960.6784070.339204
700.6284940.7430110.371506
710.5944520.8110970.405548
720.6267440.7465110.373256
730.5883140.8233720.411686
740.5507580.8984840.449242
750.5262470.9475070.473753
760.5444950.9110090.455505
770.5580690.8838620.441931
780.523310.953380.47669
790.4990490.9980990.500951
800.4601530.9203050.539847
810.4230740.8461470.576926
820.3897780.7795550.610222
830.3774730.7549450.622527
840.3489920.6979850.651008
850.3141640.6283290.685836
860.284180.5683610.71582
870.2530250.506050.746975
880.2240810.4481620.775919
890.4799810.9599610.520019
900.5190350.9619310.480965
910.4815510.9631020.518449
920.4476810.8953610.552319
930.4109010.8218020.589099
940.3774650.754930.622535
950.3502080.7004160.649792
960.3423520.6847040.657648
970.3096830.6193660.690317
980.3094320.6188630.690568
990.2830070.5660150.716993
1000.289530.5790590.71047
1010.2911660.5823310.708834
1020.2619940.5239880.738006
1030.2564960.5129910.743504
1040.2302460.4604920.769754
1050.3098190.6196370.690181
1060.2897210.5794410.710279
1070.2632550.526510.736745
1080.2874010.5748020.712599
1090.2996950.5993910.700305
1100.2701880.5403750.729812
1110.2889090.5778180.711091
1120.2979410.5958820.702059
1130.3092310.6184630.690769
1140.3851880.7703770.614812
1150.355730.711460.64427
1160.3383070.6766140.661693
1170.3108790.6217590.689121
1180.2840690.5681380.715931
1190.2640550.5281110.735945
1200.2399430.4798850.760057
1210.2131920.4263830.786808
1220.190550.38110.80945
1230.1704590.3409180.829541
1240.1543070.3086150.845693
1250.1389750.2779490.861025
1260.1320330.2640650.867967
1270.133620.267240.86638
1280.1966460.3932920.803354
1290.1861620.3723240.813838
1300.1662930.3325870.833707
1310.1923050.384610.807695
1320.1725240.3450470.827476
1330.1761560.3523110.823844
1340.1622680.3245360.837732
1350.1515740.3031480.848426
1360.1354480.2708950.864552
1370.120350.24070.87965
1380.1067580.2135160.893242
1390.1051360.2102720.894864
1400.09113030.1822610.90887
1410.09093020.181860.90907
1420.08438850.1687770.915612
1430.07242920.1448580.927571
1440.06334410.1266880.936656
1450.05902280.1180460.940977
1460.05536910.1107380.944631
1470.05103680.1020740.948963
1480.04797410.09594810.952026
1490.07915060.1583010.920849
1500.07996570.1599310.920034
1510.07196440.1439290.928036
1520.07248410.1449680.927516
1530.07246790.1449360.927532
1540.1124330.2248660.887567
1550.09677270.1935450.903227
1560.08234810.1646960.917652
1570.07296390.1459280.927036
1580.1289910.2579820.871009
1590.1185540.2371090.881446
1600.1135520.2271030.886448
1610.09879870.1975970.901201
1620.1066340.2132690.893366
1630.09103520.182070.908965
1640.08208520.164170.917915
1650.1003140.2006290.899686
1660.08556260.1711250.914437
1670.07279610.1455920.927204
1680.0631730.1263460.936827
1690.1049770.2099540.895023
1700.1562960.3125920.843704
1710.1402530.2805070.859747
1720.1416820.2833640.858318
1730.2036960.4073930.796304
1740.1843760.3687520.815624
1750.194880.3897610.80512
1760.1730020.3460040.826998
1770.2136520.4273040.786348
1780.189970.379940.81003
1790.2055280.4110550.794472
1800.2008990.4017980.799101
1810.1861950.372390.813805
1820.1624420.3248840.837558
1830.1462870.2925740.853713
1840.1257530.2515060.874247
1850.1359530.2719050.864047
1860.118080.236160.88192
1870.1004070.2008140.899593
1880.08703160.1740630.912968
1890.07654020.153080.92346
1900.06659730.1331950.933403
1910.05500940.1100190.944991
1920.04560790.09121580.954392
1930.04373020.08746050.95627
1940.04073880.08147750.959261
1950.03814590.07629190.961854
1960.0327250.06545010.967275
1970.02617640.05235290.973824
1980.02090210.04180420.979098
1990.0383750.07675010.961625
2000.03103630.06207270.968964
2010.04972810.09945610.950272
2020.04723310.09446610.952767
2030.07075880.1415180.929241
2040.06031250.1206250.939687
2050.05354280.1070860.946457
2060.04750340.09500680.952497
2070.03824770.07649540.961752
2080.04991470.09982940.950085
2090.04045560.08091130.959544
2100.03870040.07740080.9613
2110.04617820.09235650.953822
2120.05342840.1068570.946572
2130.05489510.109790.945105
2140.07107960.1421590.92892
2150.06696850.1339370.933031
2160.06344240.1268850.936558
2170.06877280.1375460.931227
2180.05620730.1124150.943793
2190.0915370.1830740.908463
2200.08409720.1681940.915903
2210.07474130.1494830.925259
2220.09880160.1976030.901198
2230.1078760.2157520.892124
2240.1074370.2148750.892563
2250.1072490.2144980.892751
2260.1675330.3350660.832467
2270.4967960.9935930.503204
2280.4436070.8872140.556393
2290.5357060.9285890.464294
2300.4922890.9845780.507711
2310.4495160.8990310.550484
2320.4613720.9227440.538628
2330.5065620.9868770.493438
2340.4493250.898650.550675
2350.5224290.9551430.477571
2360.4824420.9648840.517558
2370.4189070.8378130.581093
2380.3656940.7313880.634306
2390.4000970.8001950.599903
2400.3496850.6993690.650315
2410.3065490.6130990.693451
2420.4264510.8529010.573549
2430.395760.791520.60424
2440.3452890.6905780.654711
2450.3438110.6876210.656189
2460.3175170.6350340.682483
2470.2480660.4961320.751934
2480.2888150.5776310.711185
2490.2895660.5791320.710434
2500.2432210.4864430.756779
2510.2691630.5383270.730837
2520.1913930.3827860.808607
2530.3995740.7991480.600426
2540.5275670.9448650.472433
2550.3741660.7483320.625834

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
9 & 0.132258 & 0.264516 & 0.867742 \tabularnewline
10 & 0.0588566 & 0.117713 & 0.941143 \tabularnewline
11 & 0.0230707 & 0.0461413 & 0.976929 \tabularnewline
12 & 0.567214 & 0.865571 & 0.432786 \tabularnewline
13 & 0.835561 & 0.328877 & 0.164439 \tabularnewline
14 & 0.836059 & 0.327882 & 0.163941 \tabularnewline
15 & 0.883422 & 0.233155 & 0.116578 \tabularnewline
16 & 0.83385 & 0.332299 & 0.16615 \tabularnewline
17 & 0.804159 & 0.391682 & 0.195841 \tabularnewline
18 & 0.763796 & 0.472408 & 0.236204 \tabularnewline
19 & 0.699068 & 0.601865 & 0.300932 \tabularnewline
20 & 0.694467 & 0.611066 & 0.305533 \tabularnewline
21 & 0.768463 & 0.463074 & 0.231537 \tabularnewline
22 & 0.832289 & 0.335423 & 0.167711 \tabularnewline
23 & 0.784709 & 0.430583 & 0.215291 \tabularnewline
24 & 0.75377 & 0.492461 & 0.24623 \tabularnewline
25 & 0.702009 & 0.595981 & 0.297991 \tabularnewline
26 & 0.951232 & 0.0975368 & 0.0487684 \tabularnewline
27 & 0.936355 & 0.12729 & 0.0636448 \tabularnewline
28 & 0.916412 & 0.167176 & 0.0835878 \tabularnewline
29 & 0.891243 & 0.217514 & 0.108757 \tabularnewline
30 & 0.917227 & 0.165546 & 0.0827732 \tabularnewline
31 & 0.897704 & 0.204592 & 0.102296 \tabularnewline
32 & 0.872629 & 0.254742 & 0.127371 \tabularnewline
33 & 0.865816 & 0.268369 & 0.134184 \tabularnewline
34 & 0.833921 & 0.332158 & 0.166079 \tabularnewline
35 & 0.804518 & 0.390963 & 0.195482 \tabularnewline
36 & 0.77955 & 0.4409 & 0.22045 \tabularnewline
37 & 0.870435 & 0.25913 & 0.129565 \tabularnewline
38 & 0.843264 & 0.313473 & 0.156736 \tabularnewline
39 & 0.843445 & 0.31311 & 0.156555 \tabularnewline
40 & 0.825118 & 0.349764 & 0.174882 \tabularnewline
41 & 0.791716 & 0.416569 & 0.208284 \tabularnewline
42 & 0.76854 & 0.46292 & 0.23146 \tabularnewline
43 & 0.757369 & 0.485262 & 0.242631 \tabularnewline
44 & 0.728611 & 0.542778 & 0.271389 \tabularnewline
45 & 0.691189 & 0.617622 & 0.308811 \tabularnewline
46 & 0.700401 & 0.599198 & 0.299599 \tabularnewline
47 & 0.671445 & 0.65711 & 0.328555 \tabularnewline
48 & 0.629701 & 0.740599 & 0.370299 \tabularnewline
49 & 0.624486 & 0.751027 & 0.375514 \tabularnewline
50 & 0.600596 & 0.798807 & 0.399404 \tabularnewline
51 & 0.575742 & 0.848515 & 0.424258 \tabularnewline
52 & 0.531712 & 0.936576 & 0.468288 \tabularnewline
53 & 0.520488 & 0.959024 & 0.479512 \tabularnewline
54 & 0.502621 & 0.994757 & 0.497379 \tabularnewline
55 & 0.463439 & 0.926878 & 0.536561 \tabularnewline
56 & 0.422072 & 0.844144 & 0.577928 \tabularnewline
57 & 0.390473 & 0.780947 & 0.609527 \tabularnewline
58 & 0.356462 & 0.712923 & 0.643538 \tabularnewline
59 & 0.366129 & 0.732259 & 0.633871 \tabularnewline
60 & 0.375701 & 0.751402 & 0.624299 \tabularnewline
61 & 0.464916 & 0.929832 & 0.535084 \tabularnewline
62 & 0.455571 & 0.911141 & 0.544429 \tabularnewline
63 & 0.534785 & 0.930431 & 0.465215 \tabularnewline
64 & 0.511448 & 0.977103 & 0.488552 \tabularnewline
65 & 0.49732 & 0.994641 & 0.50268 \tabularnewline
66 & 0.643719 & 0.712561 & 0.356281 \tabularnewline
67 & 0.678331 & 0.643338 & 0.321669 \tabularnewline
68 & 0.679679 & 0.640641 & 0.320321 \tabularnewline
69 & 0.660796 & 0.678407 & 0.339204 \tabularnewline
70 & 0.628494 & 0.743011 & 0.371506 \tabularnewline
71 & 0.594452 & 0.811097 & 0.405548 \tabularnewline
72 & 0.626744 & 0.746511 & 0.373256 \tabularnewline
73 & 0.588314 & 0.823372 & 0.411686 \tabularnewline
74 & 0.550758 & 0.898484 & 0.449242 \tabularnewline
75 & 0.526247 & 0.947507 & 0.473753 \tabularnewline
76 & 0.544495 & 0.911009 & 0.455505 \tabularnewline
77 & 0.558069 & 0.883862 & 0.441931 \tabularnewline
78 & 0.52331 & 0.95338 & 0.47669 \tabularnewline
79 & 0.499049 & 0.998099 & 0.500951 \tabularnewline
80 & 0.460153 & 0.920305 & 0.539847 \tabularnewline
81 & 0.423074 & 0.846147 & 0.576926 \tabularnewline
82 & 0.389778 & 0.779555 & 0.610222 \tabularnewline
83 & 0.377473 & 0.754945 & 0.622527 \tabularnewline
84 & 0.348992 & 0.697985 & 0.651008 \tabularnewline
85 & 0.314164 & 0.628329 & 0.685836 \tabularnewline
86 & 0.28418 & 0.568361 & 0.71582 \tabularnewline
87 & 0.253025 & 0.50605 & 0.746975 \tabularnewline
88 & 0.224081 & 0.448162 & 0.775919 \tabularnewline
89 & 0.479981 & 0.959961 & 0.520019 \tabularnewline
90 & 0.519035 & 0.961931 & 0.480965 \tabularnewline
91 & 0.481551 & 0.963102 & 0.518449 \tabularnewline
92 & 0.447681 & 0.895361 & 0.552319 \tabularnewline
93 & 0.410901 & 0.821802 & 0.589099 \tabularnewline
94 & 0.377465 & 0.75493 & 0.622535 \tabularnewline
95 & 0.350208 & 0.700416 & 0.649792 \tabularnewline
96 & 0.342352 & 0.684704 & 0.657648 \tabularnewline
97 & 0.309683 & 0.619366 & 0.690317 \tabularnewline
98 & 0.309432 & 0.618863 & 0.690568 \tabularnewline
99 & 0.283007 & 0.566015 & 0.716993 \tabularnewline
100 & 0.28953 & 0.579059 & 0.71047 \tabularnewline
101 & 0.291166 & 0.582331 & 0.708834 \tabularnewline
102 & 0.261994 & 0.523988 & 0.738006 \tabularnewline
103 & 0.256496 & 0.512991 & 0.743504 \tabularnewline
104 & 0.230246 & 0.460492 & 0.769754 \tabularnewline
105 & 0.309819 & 0.619637 & 0.690181 \tabularnewline
106 & 0.289721 & 0.579441 & 0.710279 \tabularnewline
107 & 0.263255 & 0.52651 & 0.736745 \tabularnewline
108 & 0.287401 & 0.574802 & 0.712599 \tabularnewline
109 & 0.299695 & 0.599391 & 0.700305 \tabularnewline
110 & 0.270188 & 0.540375 & 0.729812 \tabularnewline
111 & 0.288909 & 0.577818 & 0.711091 \tabularnewline
112 & 0.297941 & 0.595882 & 0.702059 \tabularnewline
113 & 0.309231 & 0.618463 & 0.690769 \tabularnewline
114 & 0.385188 & 0.770377 & 0.614812 \tabularnewline
115 & 0.35573 & 0.71146 & 0.64427 \tabularnewline
116 & 0.338307 & 0.676614 & 0.661693 \tabularnewline
117 & 0.310879 & 0.621759 & 0.689121 \tabularnewline
118 & 0.284069 & 0.568138 & 0.715931 \tabularnewline
119 & 0.264055 & 0.528111 & 0.735945 \tabularnewline
120 & 0.239943 & 0.479885 & 0.760057 \tabularnewline
121 & 0.213192 & 0.426383 & 0.786808 \tabularnewline
122 & 0.19055 & 0.3811 & 0.80945 \tabularnewline
123 & 0.170459 & 0.340918 & 0.829541 \tabularnewline
124 & 0.154307 & 0.308615 & 0.845693 \tabularnewline
125 & 0.138975 & 0.277949 & 0.861025 \tabularnewline
126 & 0.132033 & 0.264065 & 0.867967 \tabularnewline
127 & 0.13362 & 0.26724 & 0.86638 \tabularnewline
128 & 0.196646 & 0.393292 & 0.803354 \tabularnewline
129 & 0.186162 & 0.372324 & 0.813838 \tabularnewline
130 & 0.166293 & 0.332587 & 0.833707 \tabularnewline
131 & 0.192305 & 0.38461 & 0.807695 \tabularnewline
132 & 0.172524 & 0.345047 & 0.827476 \tabularnewline
133 & 0.176156 & 0.352311 & 0.823844 \tabularnewline
134 & 0.162268 & 0.324536 & 0.837732 \tabularnewline
135 & 0.151574 & 0.303148 & 0.848426 \tabularnewline
136 & 0.135448 & 0.270895 & 0.864552 \tabularnewline
137 & 0.12035 & 0.2407 & 0.87965 \tabularnewline
138 & 0.106758 & 0.213516 & 0.893242 \tabularnewline
139 & 0.105136 & 0.210272 & 0.894864 \tabularnewline
140 & 0.0911303 & 0.182261 & 0.90887 \tabularnewline
141 & 0.0909302 & 0.18186 & 0.90907 \tabularnewline
142 & 0.0843885 & 0.168777 & 0.915612 \tabularnewline
143 & 0.0724292 & 0.144858 & 0.927571 \tabularnewline
144 & 0.0633441 & 0.126688 & 0.936656 \tabularnewline
145 & 0.0590228 & 0.118046 & 0.940977 \tabularnewline
146 & 0.0553691 & 0.110738 & 0.944631 \tabularnewline
147 & 0.0510368 & 0.102074 & 0.948963 \tabularnewline
148 & 0.0479741 & 0.0959481 & 0.952026 \tabularnewline
149 & 0.0791506 & 0.158301 & 0.920849 \tabularnewline
150 & 0.0799657 & 0.159931 & 0.920034 \tabularnewline
151 & 0.0719644 & 0.143929 & 0.928036 \tabularnewline
152 & 0.0724841 & 0.144968 & 0.927516 \tabularnewline
153 & 0.0724679 & 0.144936 & 0.927532 \tabularnewline
154 & 0.112433 & 0.224866 & 0.887567 \tabularnewline
155 & 0.0967727 & 0.193545 & 0.903227 \tabularnewline
156 & 0.0823481 & 0.164696 & 0.917652 \tabularnewline
157 & 0.0729639 & 0.145928 & 0.927036 \tabularnewline
158 & 0.128991 & 0.257982 & 0.871009 \tabularnewline
159 & 0.118554 & 0.237109 & 0.881446 \tabularnewline
160 & 0.113552 & 0.227103 & 0.886448 \tabularnewline
161 & 0.0987987 & 0.197597 & 0.901201 \tabularnewline
162 & 0.106634 & 0.213269 & 0.893366 \tabularnewline
163 & 0.0910352 & 0.18207 & 0.908965 \tabularnewline
164 & 0.0820852 & 0.16417 & 0.917915 \tabularnewline
165 & 0.100314 & 0.200629 & 0.899686 \tabularnewline
166 & 0.0855626 & 0.171125 & 0.914437 \tabularnewline
167 & 0.0727961 & 0.145592 & 0.927204 \tabularnewline
168 & 0.063173 & 0.126346 & 0.936827 \tabularnewline
169 & 0.104977 & 0.209954 & 0.895023 \tabularnewline
170 & 0.156296 & 0.312592 & 0.843704 \tabularnewline
171 & 0.140253 & 0.280507 & 0.859747 \tabularnewline
172 & 0.141682 & 0.283364 & 0.858318 \tabularnewline
173 & 0.203696 & 0.407393 & 0.796304 \tabularnewline
174 & 0.184376 & 0.368752 & 0.815624 \tabularnewline
175 & 0.19488 & 0.389761 & 0.80512 \tabularnewline
176 & 0.173002 & 0.346004 & 0.826998 \tabularnewline
177 & 0.213652 & 0.427304 & 0.786348 \tabularnewline
178 & 0.18997 & 0.37994 & 0.81003 \tabularnewline
179 & 0.205528 & 0.411055 & 0.794472 \tabularnewline
180 & 0.200899 & 0.401798 & 0.799101 \tabularnewline
181 & 0.186195 & 0.37239 & 0.813805 \tabularnewline
182 & 0.162442 & 0.324884 & 0.837558 \tabularnewline
183 & 0.146287 & 0.292574 & 0.853713 \tabularnewline
184 & 0.125753 & 0.251506 & 0.874247 \tabularnewline
185 & 0.135953 & 0.271905 & 0.864047 \tabularnewline
186 & 0.11808 & 0.23616 & 0.88192 \tabularnewline
187 & 0.100407 & 0.200814 & 0.899593 \tabularnewline
188 & 0.0870316 & 0.174063 & 0.912968 \tabularnewline
189 & 0.0765402 & 0.15308 & 0.92346 \tabularnewline
190 & 0.0665973 & 0.133195 & 0.933403 \tabularnewline
191 & 0.0550094 & 0.110019 & 0.944991 \tabularnewline
192 & 0.0456079 & 0.0912158 & 0.954392 \tabularnewline
193 & 0.0437302 & 0.0874605 & 0.95627 \tabularnewline
194 & 0.0407388 & 0.0814775 & 0.959261 \tabularnewline
195 & 0.0381459 & 0.0762919 & 0.961854 \tabularnewline
196 & 0.032725 & 0.0654501 & 0.967275 \tabularnewline
197 & 0.0261764 & 0.0523529 & 0.973824 \tabularnewline
198 & 0.0209021 & 0.0418042 & 0.979098 \tabularnewline
199 & 0.038375 & 0.0767501 & 0.961625 \tabularnewline
200 & 0.0310363 & 0.0620727 & 0.968964 \tabularnewline
201 & 0.0497281 & 0.0994561 & 0.950272 \tabularnewline
202 & 0.0472331 & 0.0944661 & 0.952767 \tabularnewline
203 & 0.0707588 & 0.141518 & 0.929241 \tabularnewline
204 & 0.0603125 & 0.120625 & 0.939687 \tabularnewline
205 & 0.0535428 & 0.107086 & 0.946457 \tabularnewline
206 & 0.0475034 & 0.0950068 & 0.952497 \tabularnewline
207 & 0.0382477 & 0.0764954 & 0.961752 \tabularnewline
208 & 0.0499147 & 0.0998294 & 0.950085 \tabularnewline
209 & 0.0404556 & 0.0809113 & 0.959544 \tabularnewline
210 & 0.0387004 & 0.0774008 & 0.9613 \tabularnewline
211 & 0.0461782 & 0.0923565 & 0.953822 \tabularnewline
212 & 0.0534284 & 0.106857 & 0.946572 \tabularnewline
213 & 0.0548951 & 0.10979 & 0.945105 \tabularnewline
214 & 0.0710796 & 0.142159 & 0.92892 \tabularnewline
215 & 0.0669685 & 0.133937 & 0.933031 \tabularnewline
216 & 0.0634424 & 0.126885 & 0.936558 \tabularnewline
217 & 0.0687728 & 0.137546 & 0.931227 \tabularnewline
218 & 0.0562073 & 0.112415 & 0.943793 \tabularnewline
219 & 0.091537 & 0.183074 & 0.908463 \tabularnewline
220 & 0.0840972 & 0.168194 & 0.915903 \tabularnewline
221 & 0.0747413 & 0.149483 & 0.925259 \tabularnewline
222 & 0.0988016 & 0.197603 & 0.901198 \tabularnewline
223 & 0.107876 & 0.215752 & 0.892124 \tabularnewline
224 & 0.107437 & 0.214875 & 0.892563 \tabularnewline
225 & 0.107249 & 0.214498 & 0.892751 \tabularnewline
226 & 0.167533 & 0.335066 & 0.832467 \tabularnewline
227 & 0.496796 & 0.993593 & 0.503204 \tabularnewline
228 & 0.443607 & 0.887214 & 0.556393 \tabularnewline
229 & 0.535706 & 0.928589 & 0.464294 \tabularnewline
230 & 0.492289 & 0.984578 & 0.507711 \tabularnewline
231 & 0.449516 & 0.899031 & 0.550484 \tabularnewline
232 & 0.461372 & 0.922744 & 0.538628 \tabularnewline
233 & 0.506562 & 0.986877 & 0.493438 \tabularnewline
234 & 0.449325 & 0.89865 & 0.550675 \tabularnewline
235 & 0.522429 & 0.955143 & 0.477571 \tabularnewline
236 & 0.482442 & 0.964884 & 0.517558 \tabularnewline
237 & 0.418907 & 0.837813 & 0.581093 \tabularnewline
238 & 0.365694 & 0.731388 & 0.634306 \tabularnewline
239 & 0.400097 & 0.800195 & 0.599903 \tabularnewline
240 & 0.349685 & 0.699369 & 0.650315 \tabularnewline
241 & 0.306549 & 0.613099 & 0.693451 \tabularnewline
242 & 0.426451 & 0.852901 & 0.573549 \tabularnewline
243 & 0.39576 & 0.79152 & 0.60424 \tabularnewline
244 & 0.345289 & 0.690578 & 0.654711 \tabularnewline
245 & 0.343811 & 0.687621 & 0.656189 \tabularnewline
246 & 0.317517 & 0.635034 & 0.682483 \tabularnewline
247 & 0.248066 & 0.496132 & 0.751934 \tabularnewline
248 & 0.288815 & 0.577631 & 0.711185 \tabularnewline
249 & 0.289566 & 0.579132 & 0.710434 \tabularnewline
250 & 0.243221 & 0.486443 & 0.756779 \tabularnewline
251 & 0.269163 & 0.538327 & 0.730837 \tabularnewline
252 & 0.191393 & 0.382786 & 0.808607 \tabularnewline
253 & 0.399574 & 0.799148 & 0.600426 \tabularnewline
254 & 0.527567 & 0.944865 & 0.472433 \tabularnewline
255 & 0.374166 & 0.748332 & 0.625834 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=272741&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]9[/C][C]0.132258[/C][C]0.264516[/C][C]0.867742[/C][/ROW]
[ROW][C]10[/C][C]0.0588566[/C][C]0.117713[/C][C]0.941143[/C][/ROW]
[ROW][C]11[/C][C]0.0230707[/C][C]0.0461413[/C][C]0.976929[/C][/ROW]
[ROW][C]12[/C][C]0.567214[/C][C]0.865571[/C][C]0.432786[/C][/ROW]
[ROW][C]13[/C][C]0.835561[/C][C]0.328877[/C][C]0.164439[/C][/ROW]
[ROW][C]14[/C][C]0.836059[/C][C]0.327882[/C][C]0.163941[/C][/ROW]
[ROW][C]15[/C][C]0.883422[/C][C]0.233155[/C][C]0.116578[/C][/ROW]
[ROW][C]16[/C][C]0.83385[/C][C]0.332299[/C][C]0.16615[/C][/ROW]
[ROW][C]17[/C][C]0.804159[/C][C]0.391682[/C][C]0.195841[/C][/ROW]
[ROW][C]18[/C][C]0.763796[/C][C]0.472408[/C][C]0.236204[/C][/ROW]
[ROW][C]19[/C][C]0.699068[/C][C]0.601865[/C][C]0.300932[/C][/ROW]
[ROW][C]20[/C][C]0.694467[/C][C]0.611066[/C][C]0.305533[/C][/ROW]
[ROW][C]21[/C][C]0.768463[/C][C]0.463074[/C][C]0.231537[/C][/ROW]
[ROW][C]22[/C][C]0.832289[/C][C]0.335423[/C][C]0.167711[/C][/ROW]
[ROW][C]23[/C][C]0.784709[/C][C]0.430583[/C][C]0.215291[/C][/ROW]
[ROW][C]24[/C][C]0.75377[/C][C]0.492461[/C][C]0.24623[/C][/ROW]
[ROW][C]25[/C][C]0.702009[/C][C]0.595981[/C][C]0.297991[/C][/ROW]
[ROW][C]26[/C][C]0.951232[/C][C]0.0975368[/C][C]0.0487684[/C][/ROW]
[ROW][C]27[/C][C]0.936355[/C][C]0.12729[/C][C]0.0636448[/C][/ROW]
[ROW][C]28[/C][C]0.916412[/C][C]0.167176[/C][C]0.0835878[/C][/ROW]
[ROW][C]29[/C][C]0.891243[/C][C]0.217514[/C][C]0.108757[/C][/ROW]
[ROW][C]30[/C][C]0.917227[/C][C]0.165546[/C][C]0.0827732[/C][/ROW]
[ROW][C]31[/C][C]0.897704[/C][C]0.204592[/C][C]0.102296[/C][/ROW]
[ROW][C]32[/C][C]0.872629[/C][C]0.254742[/C][C]0.127371[/C][/ROW]
[ROW][C]33[/C][C]0.865816[/C][C]0.268369[/C][C]0.134184[/C][/ROW]
[ROW][C]34[/C][C]0.833921[/C][C]0.332158[/C][C]0.166079[/C][/ROW]
[ROW][C]35[/C][C]0.804518[/C][C]0.390963[/C][C]0.195482[/C][/ROW]
[ROW][C]36[/C][C]0.77955[/C][C]0.4409[/C][C]0.22045[/C][/ROW]
[ROW][C]37[/C][C]0.870435[/C][C]0.25913[/C][C]0.129565[/C][/ROW]
[ROW][C]38[/C][C]0.843264[/C][C]0.313473[/C][C]0.156736[/C][/ROW]
[ROW][C]39[/C][C]0.843445[/C][C]0.31311[/C][C]0.156555[/C][/ROW]
[ROW][C]40[/C][C]0.825118[/C][C]0.349764[/C][C]0.174882[/C][/ROW]
[ROW][C]41[/C][C]0.791716[/C][C]0.416569[/C][C]0.208284[/C][/ROW]
[ROW][C]42[/C][C]0.76854[/C][C]0.46292[/C][C]0.23146[/C][/ROW]
[ROW][C]43[/C][C]0.757369[/C][C]0.485262[/C][C]0.242631[/C][/ROW]
[ROW][C]44[/C][C]0.728611[/C][C]0.542778[/C][C]0.271389[/C][/ROW]
[ROW][C]45[/C][C]0.691189[/C][C]0.617622[/C][C]0.308811[/C][/ROW]
[ROW][C]46[/C][C]0.700401[/C][C]0.599198[/C][C]0.299599[/C][/ROW]
[ROW][C]47[/C][C]0.671445[/C][C]0.65711[/C][C]0.328555[/C][/ROW]
[ROW][C]48[/C][C]0.629701[/C][C]0.740599[/C][C]0.370299[/C][/ROW]
[ROW][C]49[/C][C]0.624486[/C][C]0.751027[/C][C]0.375514[/C][/ROW]
[ROW][C]50[/C][C]0.600596[/C][C]0.798807[/C][C]0.399404[/C][/ROW]
[ROW][C]51[/C][C]0.575742[/C][C]0.848515[/C][C]0.424258[/C][/ROW]
[ROW][C]52[/C][C]0.531712[/C][C]0.936576[/C][C]0.468288[/C][/ROW]
[ROW][C]53[/C][C]0.520488[/C][C]0.959024[/C][C]0.479512[/C][/ROW]
[ROW][C]54[/C][C]0.502621[/C][C]0.994757[/C][C]0.497379[/C][/ROW]
[ROW][C]55[/C][C]0.463439[/C][C]0.926878[/C][C]0.536561[/C][/ROW]
[ROW][C]56[/C][C]0.422072[/C][C]0.844144[/C][C]0.577928[/C][/ROW]
[ROW][C]57[/C][C]0.390473[/C][C]0.780947[/C][C]0.609527[/C][/ROW]
[ROW][C]58[/C][C]0.356462[/C][C]0.712923[/C][C]0.643538[/C][/ROW]
[ROW][C]59[/C][C]0.366129[/C][C]0.732259[/C][C]0.633871[/C][/ROW]
[ROW][C]60[/C][C]0.375701[/C][C]0.751402[/C][C]0.624299[/C][/ROW]
[ROW][C]61[/C][C]0.464916[/C][C]0.929832[/C][C]0.535084[/C][/ROW]
[ROW][C]62[/C][C]0.455571[/C][C]0.911141[/C][C]0.544429[/C][/ROW]
[ROW][C]63[/C][C]0.534785[/C][C]0.930431[/C][C]0.465215[/C][/ROW]
[ROW][C]64[/C][C]0.511448[/C][C]0.977103[/C][C]0.488552[/C][/ROW]
[ROW][C]65[/C][C]0.49732[/C][C]0.994641[/C][C]0.50268[/C][/ROW]
[ROW][C]66[/C][C]0.643719[/C][C]0.712561[/C][C]0.356281[/C][/ROW]
[ROW][C]67[/C][C]0.678331[/C][C]0.643338[/C][C]0.321669[/C][/ROW]
[ROW][C]68[/C][C]0.679679[/C][C]0.640641[/C][C]0.320321[/C][/ROW]
[ROW][C]69[/C][C]0.660796[/C][C]0.678407[/C][C]0.339204[/C][/ROW]
[ROW][C]70[/C][C]0.628494[/C][C]0.743011[/C][C]0.371506[/C][/ROW]
[ROW][C]71[/C][C]0.594452[/C][C]0.811097[/C][C]0.405548[/C][/ROW]
[ROW][C]72[/C][C]0.626744[/C][C]0.746511[/C][C]0.373256[/C][/ROW]
[ROW][C]73[/C][C]0.588314[/C][C]0.823372[/C][C]0.411686[/C][/ROW]
[ROW][C]74[/C][C]0.550758[/C][C]0.898484[/C][C]0.449242[/C][/ROW]
[ROW][C]75[/C][C]0.526247[/C][C]0.947507[/C][C]0.473753[/C][/ROW]
[ROW][C]76[/C][C]0.544495[/C][C]0.911009[/C][C]0.455505[/C][/ROW]
[ROW][C]77[/C][C]0.558069[/C][C]0.883862[/C][C]0.441931[/C][/ROW]
[ROW][C]78[/C][C]0.52331[/C][C]0.95338[/C][C]0.47669[/C][/ROW]
[ROW][C]79[/C][C]0.499049[/C][C]0.998099[/C][C]0.500951[/C][/ROW]
[ROW][C]80[/C][C]0.460153[/C][C]0.920305[/C][C]0.539847[/C][/ROW]
[ROW][C]81[/C][C]0.423074[/C][C]0.846147[/C][C]0.576926[/C][/ROW]
[ROW][C]82[/C][C]0.389778[/C][C]0.779555[/C][C]0.610222[/C][/ROW]
[ROW][C]83[/C][C]0.377473[/C][C]0.754945[/C][C]0.622527[/C][/ROW]
[ROW][C]84[/C][C]0.348992[/C][C]0.697985[/C][C]0.651008[/C][/ROW]
[ROW][C]85[/C][C]0.314164[/C][C]0.628329[/C][C]0.685836[/C][/ROW]
[ROW][C]86[/C][C]0.28418[/C][C]0.568361[/C][C]0.71582[/C][/ROW]
[ROW][C]87[/C][C]0.253025[/C][C]0.50605[/C][C]0.746975[/C][/ROW]
[ROW][C]88[/C][C]0.224081[/C][C]0.448162[/C][C]0.775919[/C][/ROW]
[ROW][C]89[/C][C]0.479981[/C][C]0.959961[/C][C]0.520019[/C][/ROW]
[ROW][C]90[/C][C]0.519035[/C][C]0.961931[/C][C]0.480965[/C][/ROW]
[ROW][C]91[/C][C]0.481551[/C][C]0.963102[/C][C]0.518449[/C][/ROW]
[ROW][C]92[/C][C]0.447681[/C][C]0.895361[/C][C]0.552319[/C][/ROW]
[ROW][C]93[/C][C]0.410901[/C][C]0.821802[/C][C]0.589099[/C][/ROW]
[ROW][C]94[/C][C]0.377465[/C][C]0.75493[/C][C]0.622535[/C][/ROW]
[ROW][C]95[/C][C]0.350208[/C][C]0.700416[/C][C]0.649792[/C][/ROW]
[ROW][C]96[/C][C]0.342352[/C][C]0.684704[/C][C]0.657648[/C][/ROW]
[ROW][C]97[/C][C]0.309683[/C][C]0.619366[/C][C]0.690317[/C][/ROW]
[ROW][C]98[/C][C]0.309432[/C][C]0.618863[/C][C]0.690568[/C][/ROW]
[ROW][C]99[/C][C]0.283007[/C][C]0.566015[/C][C]0.716993[/C][/ROW]
[ROW][C]100[/C][C]0.28953[/C][C]0.579059[/C][C]0.71047[/C][/ROW]
[ROW][C]101[/C][C]0.291166[/C][C]0.582331[/C][C]0.708834[/C][/ROW]
[ROW][C]102[/C][C]0.261994[/C][C]0.523988[/C][C]0.738006[/C][/ROW]
[ROW][C]103[/C][C]0.256496[/C][C]0.512991[/C][C]0.743504[/C][/ROW]
[ROW][C]104[/C][C]0.230246[/C][C]0.460492[/C][C]0.769754[/C][/ROW]
[ROW][C]105[/C][C]0.309819[/C][C]0.619637[/C][C]0.690181[/C][/ROW]
[ROW][C]106[/C][C]0.289721[/C][C]0.579441[/C][C]0.710279[/C][/ROW]
[ROW][C]107[/C][C]0.263255[/C][C]0.52651[/C][C]0.736745[/C][/ROW]
[ROW][C]108[/C][C]0.287401[/C][C]0.574802[/C][C]0.712599[/C][/ROW]
[ROW][C]109[/C][C]0.299695[/C][C]0.599391[/C][C]0.700305[/C][/ROW]
[ROW][C]110[/C][C]0.270188[/C][C]0.540375[/C][C]0.729812[/C][/ROW]
[ROW][C]111[/C][C]0.288909[/C][C]0.577818[/C][C]0.711091[/C][/ROW]
[ROW][C]112[/C][C]0.297941[/C][C]0.595882[/C][C]0.702059[/C][/ROW]
[ROW][C]113[/C][C]0.309231[/C][C]0.618463[/C][C]0.690769[/C][/ROW]
[ROW][C]114[/C][C]0.385188[/C][C]0.770377[/C][C]0.614812[/C][/ROW]
[ROW][C]115[/C][C]0.35573[/C][C]0.71146[/C][C]0.64427[/C][/ROW]
[ROW][C]116[/C][C]0.338307[/C][C]0.676614[/C][C]0.661693[/C][/ROW]
[ROW][C]117[/C][C]0.310879[/C][C]0.621759[/C][C]0.689121[/C][/ROW]
[ROW][C]118[/C][C]0.284069[/C][C]0.568138[/C][C]0.715931[/C][/ROW]
[ROW][C]119[/C][C]0.264055[/C][C]0.528111[/C][C]0.735945[/C][/ROW]
[ROW][C]120[/C][C]0.239943[/C][C]0.479885[/C][C]0.760057[/C][/ROW]
[ROW][C]121[/C][C]0.213192[/C][C]0.426383[/C][C]0.786808[/C][/ROW]
[ROW][C]122[/C][C]0.19055[/C][C]0.3811[/C][C]0.80945[/C][/ROW]
[ROW][C]123[/C][C]0.170459[/C][C]0.340918[/C][C]0.829541[/C][/ROW]
[ROW][C]124[/C][C]0.154307[/C][C]0.308615[/C][C]0.845693[/C][/ROW]
[ROW][C]125[/C][C]0.138975[/C][C]0.277949[/C][C]0.861025[/C][/ROW]
[ROW][C]126[/C][C]0.132033[/C][C]0.264065[/C][C]0.867967[/C][/ROW]
[ROW][C]127[/C][C]0.13362[/C][C]0.26724[/C][C]0.86638[/C][/ROW]
[ROW][C]128[/C][C]0.196646[/C][C]0.393292[/C][C]0.803354[/C][/ROW]
[ROW][C]129[/C][C]0.186162[/C][C]0.372324[/C][C]0.813838[/C][/ROW]
[ROW][C]130[/C][C]0.166293[/C][C]0.332587[/C][C]0.833707[/C][/ROW]
[ROW][C]131[/C][C]0.192305[/C][C]0.38461[/C][C]0.807695[/C][/ROW]
[ROW][C]132[/C][C]0.172524[/C][C]0.345047[/C][C]0.827476[/C][/ROW]
[ROW][C]133[/C][C]0.176156[/C][C]0.352311[/C][C]0.823844[/C][/ROW]
[ROW][C]134[/C][C]0.162268[/C][C]0.324536[/C][C]0.837732[/C][/ROW]
[ROW][C]135[/C][C]0.151574[/C][C]0.303148[/C][C]0.848426[/C][/ROW]
[ROW][C]136[/C][C]0.135448[/C][C]0.270895[/C][C]0.864552[/C][/ROW]
[ROW][C]137[/C][C]0.12035[/C][C]0.2407[/C][C]0.87965[/C][/ROW]
[ROW][C]138[/C][C]0.106758[/C][C]0.213516[/C][C]0.893242[/C][/ROW]
[ROW][C]139[/C][C]0.105136[/C][C]0.210272[/C][C]0.894864[/C][/ROW]
[ROW][C]140[/C][C]0.0911303[/C][C]0.182261[/C][C]0.90887[/C][/ROW]
[ROW][C]141[/C][C]0.0909302[/C][C]0.18186[/C][C]0.90907[/C][/ROW]
[ROW][C]142[/C][C]0.0843885[/C][C]0.168777[/C][C]0.915612[/C][/ROW]
[ROW][C]143[/C][C]0.0724292[/C][C]0.144858[/C][C]0.927571[/C][/ROW]
[ROW][C]144[/C][C]0.0633441[/C][C]0.126688[/C][C]0.936656[/C][/ROW]
[ROW][C]145[/C][C]0.0590228[/C][C]0.118046[/C][C]0.940977[/C][/ROW]
[ROW][C]146[/C][C]0.0553691[/C][C]0.110738[/C][C]0.944631[/C][/ROW]
[ROW][C]147[/C][C]0.0510368[/C][C]0.102074[/C][C]0.948963[/C][/ROW]
[ROW][C]148[/C][C]0.0479741[/C][C]0.0959481[/C][C]0.952026[/C][/ROW]
[ROW][C]149[/C][C]0.0791506[/C][C]0.158301[/C][C]0.920849[/C][/ROW]
[ROW][C]150[/C][C]0.0799657[/C][C]0.159931[/C][C]0.920034[/C][/ROW]
[ROW][C]151[/C][C]0.0719644[/C][C]0.143929[/C][C]0.928036[/C][/ROW]
[ROW][C]152[/C][C]0.0724841[/C][C]0.144968[/C][C]0.927516[/C][/ROW]
[ROW][C]153[/C][C]0.0724679[/C][C]0.144936[/C][C]0.927532[/C][/ROW]
[ROW][C]154[/C][C]0.112433[/C][C]0.224866[/C][C]0.887567[/C][/ROW]
[ROW][C]155[/C][C]0.0967727[/C][C]0.193545[/C][C]0.903227[/C][/ROW]
[ROW][C]156[/C][C]0.0823481[/C][C]0.164696[/C][C]0.917652[/C][/ROW]
[ROW][C]157[/C][C]0.0729639[/C][C]0.145928[/C][C]0.927036[/C][/ROW]
[ROW][C]158[/C][C]0.128991[/C][C]0.257982[/C][C]0.871009[/C][/ROW]
[ROW][C]159[/C][C]0.118554[/C][C]0.237109[/C][C]0.881446[/C][/ROW]
[ROW][C]160[/C][C]0.113552[/C][C]0.227103[/C][C]0.886448[/C][/ROW]
[ROW][C]161[/C][C]0.0987987[/C][C]0.197597[/C][C]0.901201[/C][/ROW]
[ROW][C]162[/C][C]0.106634[/C][C]0.213269[/C][C]0.893366[/C][/ROW]
[ROW][C]163[/C][C]0.0910352[/C][C]0.18207[/C][C]0.908965[/C][/ROW]
[ROW][C]164[/C][C]0.0820852[/C][C]0.16417[/C][C]0.917915[/C][/ROW]
[ROW][C]165[/C][C]0.100314[/C][C]0.200629[/C][C]0.899686[/C][/ROW]
[ROW][C]166[/C][C]0.0855626[/C][C]0.171125[/C][C]0.914437[/C][/ROW]
[ROW][C]167[/C][C]0.0727961[/C][C]0.145592[/C][C]0.927204[/C][/ROW]
[ROW][C]168[/C][C]0.063173[/C][C]0.126346[/C][C]0.936827[/C][/ROW]
[ROW][C]169[/C][C]0.104977[/C][C]0.209954[/C][C]0.895023[/C][/ROW]
[ROW][C]170[/C][C]0.156296[/C][C]0.312592[/C][C]0.843704[/C][/ROW]
[ROW][C]171[/C][C]0.140253[/C][C]0.280507[/C][C]0.859747[/C][/ROW]
[ROW][C]172[/C][C]0.141682[/C][C]0.283364[/C][C]0.858318[/C][/ROW]
[ROW][C]173[/C][C]0.203696[/C][C]0.407393[/C][C]0.796304[/C][/ROW]
[ROW][C]174[/C][C]0.184376[/C][C]0.368752[/C][C]0.815624[/C][/ROW]
[ROW][C]175[/C][C]0.19488[/C][C]0.389761[/C][C]0.80512[/C][/ROW]
[ROW][C]176[/C][C]0.173002[/C][C]0.346004[/C][C]0.826998[/C][/ROW]
[ROW][C]177[/C][C]0.213652[/C][C]0.427304[/C][C]0.786348[/C][/ROW]
[ROW][C]178[/C][C]0.18997[/C][C]0.37994[/C][C]0.81003[/C][/ROW]
[ROW][C]179[/C][C]0.205528[/C][C]0.411055[/C][C]0.794472[/C][/ROW]
[ROW][C]180[/C][C]0.200899[/C][C]0.401798[/C][C]0.799101[/C][/ROW]
[ROW][C]181[/C][C]0.186195[/C][C]0.37239[/C][C]0.813805[/C][/ROW]
[ROW][C]182[/C][C]0.162442[/C][C]0.324884[/C][C]0.837558[/C][/ROW]
[ROW][C]183[/C][C]0.146287[/C][C]0.292574[/C][C]0.853713[/C][/ROW]
[ROW][C]184[/C][C]0.125753[/C][C]0.251506[/C][C]0.874247[/C][/ROW]
[ROW][C]185[/C][C]0.135953[/C][C]0.271905[/C][C]0.864047[/C][/ROW]
[ROW][C]186[/C][C]0.11808[/C][C]0.23616[/C][C]0.88192[/C][/ROW]
[ROW][C]187[/C][C]0.100407[/C][C]0.200814[/C][C]0.899593[/C][/ROW]
[ROW][C]188[/C][C]0.0870316[/C][C]0.174063[/C][C]0.912968[/C][/ROW]
[ROW][C]189[/C][C]0.0765402[/C][C]0.15308[/C][C]0.92346[/C][/ROW]
[ROW][C]190[/C][C]0.0665973[/C][C]0.133195[/C][C]0.933403[/C][/ROW]
[ROW][C]191[/C][C]0.0550094[/C][C]0.110019[/C][C]0.944991[/C][/ROW]
[ROW][C]192[/C][C]0.0456079[/C][C]0.0912158[/C][C]0.954392[/C][/ROW]
[ROW][C]193[/C][C]0.0437302[/C][C]0.0874605[/C][C]0.95627[/C][/ROW]
[ROW][C]194[/C][C]0.0407388[/C][C]0.0814775[/C][C]0.959261[/C][/ROW]
[ROW][C]195[/C][C]0.0381459[/C][C]0.0762919[/C][C]0.961854[/C][/ROW]
[ROW][C]196[/C][C]0.032725[/C][C]0.0654501[/C][C]0.967275[/C][/ROW]
[ROW][C]197[/C][C]0.0261764[/C][C]0.0523529[/C][C]0.973824[/C][/ROW]
[ROW][C]198[/C][C]0.0209021[/C][C]0.0418042[/C][C]0.979098[/C][/ROW]
[ROW][C]199[/C][C]0.038375[/C][C]0.0767501[/C][C]0.961625[/C][/ROW]
[ROW][C]200[/C][C]0.0310363[/C][C]0.0620727[/C][C]0.968964[/C][/ROW]
[ROW][C]201[/C][C]0.0497281[/C][C]0.0994561[/C][C]0.950272[/C][/ROW]
[ROW][C]202[/C][C]0.0472331[/C][C]0.0944661[/C][C]0.952767[/C][/ROW]
[ROW][C]203[/C][C]0.0707588[/C][C]0.141518[/C][C]0.929241[/C][/ROW]
[ROW][C]204[/C][C]0.0603125[/C][C]0.120625[/C][C]0.939687[/C][/ROW]
[ROW][C]205[/C][C]0.0535428[/C][C]0.107086[/C][C]0.946457[/C][/ROW]
[ROW][C]206[/C][C]0.0475034[/C][C]0.0950068[/C][C]0.952497[/C][/ROW]
[ROW][C]207[/C][C]0.0382477[/C][C]0.0764954[/C][C]0.961752[/C][/ROW]
[ROW][C]208[/C][C]0.0499147[/C][C]0.0998294[/C][C]0.950085[/C][/ROW]
[ROW][C]209[/C][C]0.0404556[/C][C]0.0809113[/C][C]0.959544[/C][/ROW]
[ROW][C]210[/C][C]0.0387004[/C][C]0.0774008[/C][C]0.9613[/C][/ROW]
[ROW][C]211[/C][C]0.0461782[/C][C]0.0923565[/C][C]0.953822[/C][/ROW]
[ROW][C]212[/C][C]0.0534284[/C][C]0.106857[/C][C]0.946572[/C][/ROW]
[ROW][C]213[/C][C]0.0548951[/C][C]0.10979[/C][C]0.945105[/C][/ROW]
[ROW][C]214[/C][C]0.0710796[/C][C]0.142159[/C][C]0.92892[/C][/ROW]
[ROW][C]215[/C][C]0.0669685[/C][C]0.133937[/C][C]0.933031[/C][/ROW]
[ROW][C]216[/C][C]0.0634424[/C][C]0.126885[/C][C]0.936558[/C][/ROW]
[ROW][C]217[/C][C]0.0687728[/C][C]0.137546[/C][C]0.931227[/C][/ROW]
[ROW][C]218[/C][C]0.0562073[/C][C]0.112415[/C][C]0.943793[/C][/ROW]
[ROW][C]219[/C][C]0.091537[/C][C]0.183074[/C][C]0.908463[/C][/ROW]
[ROW][C]220[/C][C]0.0840972[/C][C]0.168194[/C][C]0.915903[/C][/ROW]
[ROW][C]221[/C][C]0.0747413[/C][C]0.149483[/C][C]0.925259[/C][/ROW]
[ROW][C]222[/C][C]0.0988016[/C][C]0.197603[/C][C]0.901198[/C][/ROW]
[ROW][C]223[/C][C]0.107876[/C][C]0.215752[/C][C]0.892124[/C][/ROW]
[ROW][C]224[/C][C]0.107437[/C][C]0.214875[/C][C]0.892563[/C][/ROW]
[ROW][C]225[/C][C]0.107249[/C][C]0.214498[/C][C]0.892751[/C][/ROW]
[ROW][C]226[/C][C]0.167533[/C][C]0.335066[/C][C]0.832467[/C][/ROW]
[ROW][C]227[/C][C]0.496796[/C][C]0.993593[/C][C]0.503204[/C][/ROW]
[ROW][C]228[/C][C]0.443607[/C][C]0.887214[/C][C]0.556393[/C][/ROW]
[ROW][C]229[/C][C]0.535706[/C][C]0.928589[/C][C]0.464294[/C][/ROW]
[ROW][C]230[/C][C]0.492289[/C][C]0.984578[/C][C]0.507711[/C][/ROW]
[ROW][C]231[/C][C]0.449516[/C][C]0.899031[/C][C]0.550484[/C][/ROW]
[ROW][C]232[/C][C]0.461372[/C][C]0.922744[/C][C]0.538628[/C][/ROW]
[ROW][C]233[/C][C]0.506562[/C][C]0.986877[/C][C]0.493438[/C][/ROW]
[ROW][C]234[/C][C]0.449325[/C][C]0.89865[/C][C]0.550675[/C][/ROW]
[ROW][C]235[/C][C]0.522429[/C][C]0.955143[/C][C]0.477571[/C][/ROW]
[ROW][C]236[/C][C]0.482442[/C][C]0.964884[/C][C]0.517558[/C][/ROW]
[ROW][C]237[/C][C]0.418907[/C][C]0.837813[/C][C]0.581093[/C][/ROW]
[ROW][C]238[/C][C]0.365694[/C][C]0.731388[/C][C]0.634306[/C][/ROW]
[ROW][C]239[/C][C]0.400097[/C][C]0.800195[/C][C]0.599903[/C][/ROW]
[ROW][C]240[/C][C]0.349685[/C][C]0.699369[/C][C]0.650315[/C][/ROW]
[ROW][C]241[/C][C]0.306549[/C][C]0.613099[/C][C]0.693451[/C][/ROW]
[ROW][C]242[/C][C]0.426451[/C][C]0.852901[/C][C]0.573549[/C][/ROW]
[ROW][C]243[/C][C]0.39576[/C][C]0.79152[/C][C]0.60424[/C][/ROW]
[ROW][C]244[/C][C]0.345289[/C][C]0.690578[/C][C]0.654711[/C][/ROW]
[ROW][C]245[/C][C]0.343811[/C][C]0.687621[/C][C]0.656189[/C][/ROW]
[ROW][C]246[/C][C]0.317517[/C][C]0.635034[/C][C]0.682483[/C][/ROW]
[ROW][C]247[/C][C]0.248066[/C][C]0.496132[/C][C]0.751934[/C][/ROW]
[ROW][C]248[/C][C]0.288815[/C][C]0.577631[/C][C]0.711185[/C][/ROW]
[ROW][C]249[/C][C]0.289566[/C][C]0.579132[/C][C]0.710434[/C][/ROW]
[ROW][C]250[/C][C]0.243221[/C][C]0.486443[/C][C]0.756779[/C][/ROW]
[ROW][C]251[/C][C]0.269163[/C][C]0.538327[/C][C]0.730837[/C][/ROW]
[ROW][C]252[/C][C]0.191393[/C][C]0.382786[/C][C]0.808607[/C][/ROW]
[ROW][C]253[/C][C]0.399574[/C][C]0.799148[/C][C]0.600426[/C][/ROW]
[ROW][C]254[/C][C]0.527567[/C][C]0.944865[/C][C]0.472433[/C][/ROW]
[ROW][C]255[/C][C]0.374166[/C][C]0.748332[/C][C]0.625834[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=272741&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=272741&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
90.1322580.2645160.867742
100.05885660.1177130.941143
110.02307070.04614130.976929
120.5672140.8655710.432786
130.8355610.3288770.164439
140.8360590.3278820.163941
150.8834220.2331550.116578
160.833850.3322990.16615
170.8041590.3916820.195841
180.7637960.4724080.236204
190.6990680.6018650.300932
200.6944670.6110660.305533
210.7684630.4630740.231537
220.8322890.3354230.167711
230.7847090.4305830.215291
240.753770.4924610.24623
250.7020090.5959810.297991
260.9512320.09753680.0487684
270.9363550.127290.0636448
280.9164120.1671760.0835878
290.8912430.2175140.108757
300.9172270.1655460.0827732
310.8977040.2045920.102296
320.8726290.2547420.127371
330.8658160.2683690.134184
340.8339210.3321580.166079
350.8045180.3909630.195482
360.779550.44090.22045
370.8704350.259130.129565
380.8432640.3134730.156736
390.8434450.313110.156555
400.8251180.3497640.174882
410.7917160.4165690.208284
420.768540.462920.23146
430.7573690.4852620.242631
440.7286110.5427780.271389
450.6911890.6176220.308811
460.7004010.5991980.299599
470.6714450.657110.328555
480.6297010.7405990.370299
490.6244860.7510270.375514
500.6005960.7988070.399404
510.5757420.8485150.424258
520.5317120.9365760.468288
530.5204880.9590240.479512
540.5026210.9947570.497379
550.4634390.9268780.536561
560.4220720.8441440.577928
570.3904730.7809470.609527
580.3564620.7129230.643538
590.3661290.7322590.633871
600.3757010.7514020.624299
610.4649160.9298320.535084
620.4555710.9111410.544429
630.5347850.9304310.465215
640.5114480.9771030.488552
650.497320.9946410.50268
660.6437190.7125610.356281
670.6783310.6433380.321669
680.6796790.6406410.320321
690.6607960.6784070.339204
700.6284940.7430110.371506
710.5944520.8110970.405548
720.6267440.7465110.373256
730.5883140.8233720.411686
740.5507580.8984840.449242
750.5262470.9475070.473753
760.5444950.9110090.455505
770.5580690.8838620.441931
780.523310.953380.47669
790.4990490.9980990.500951
800.4601530.9203050.539847
810.4230740.8461470.576926
820.3897780.7795550.610222
830.3774730.7549450.622527
840.3489920.6979850.651008
850.3141640.6283290.685836
860.284180.5683610.71582
870.2530250.506050.746975
880.2240810.4481620.775919
890.4799810.9599610.520019
900.5190350.9619310.480965
910.4815510.9631020.518449
920.4476810.8953610.552319
930.4109010.8218020.589099
940.3774650.754930.622535
950.3502080.7004160.649792
960.3423520.6847040.657648
970.3096830.6193660.690317
980.3094320.6188630.690568
990.2830070.5660150.716993
1000.289530.5790590.71047
1010.2911660.5823310.708834
1020.2619940.5239880.738006
1030.2564960.5129910.743504
1040.2302460.4604920.769754
1050.3098190.6196370.690181
1060.2897210.5794410.710279
1070.2632550.526510.736745
1080.2874010.5748020.712599
1090.2996950.5993910.700305
1100.2701880.5403750.729812
1110.2889090.5778180.711091
1120.2979410.5958820.702059
1130.3092310.6184630.690769
1140.3851880.7703770.614812
1150.355730.711460.64427
1160.3383070.6766140.661693
1170.3108790.6217590.689121
1180.2840690.5681380.715931
1190.2640550.5281110.735945
1200.2399430.4798850.760057
1210.2131920.4263830.786808
1220.190550.38110.80945
1230.1704590.3409180.829541
1240.1543070.3086150.845693
1250.1389750.2779490.861025
1260.1320330.2640650.867967
1270.133620.267240.86638
1280.1966460.3932920.803354
1290.1861620.3723240.813838
1300.1662930.3325870.833707
1310.1923050.384610.807695
1320.1725240.3450470.827476
1330.1761560.3523110.823844
1340.1622680.3245360.837732
1350.1515740.3031480.848426
1360.1354480.2708950.864552
1370.120350.24070.87965
1380.1067580.2135160.893242
1390.1051360.2102720.894864
1400.09113030.1822610.90887
1410.09093020.181860.90907
1420.08438850.1687770.915612
1430.07242920.1448580.927571
1440.06334410.1266880.936656
1450.05902280.1180460.940977
1460.05536910.1107380.944631
1470.05103680.1020740.948963
1480.04797410.09594810.952026
1490.07915060.1583010.920849
1500.07996570.1599310.920034
1510.07196440.1439290.928036
1520.07248410.1449680.927516
1530.07246790.1449360.927532
1540.1124330.2248660.887567
1550.09677270.1935450.903227
1560.08234810.1646960.917652
1570.07296390.1459280.927036
1580.1289910.2579820.871009
1590.1185540.2371090.881446
1600.1135520.2271030.886448
1610.09879870.1975970.901201
1620.1066340.2132690.893366
1630.09103520.182070.908965
1640.08208520.164170.917915
1650.1003140.2006290.899686
1660.08556260.1711250.914437
1670.07279610.1455920.927204
1680.0631730.1263460.936827
1690.1049770.2099540.895023
1700.1562960.3125920.843704
1710.1402530.2805070.859747
1720.1416820.2833640.858318
1730.2036960.4073930.796304
1740.1843760.3687520.815624
1750.194880.3897610.80512
1760.1730020.3460040.826998
1770.2136520.4273040.786348
1780.189970.379940.81003
1790.2055280.4110550.794472
1800.2008990.4017980.799101
1810.1861950.372390.813805
1820.1624420.3248840.837558
1830.1462870.2925740.853713
1840.1257530.2515060.874247
1850.1359530.2719050.864047
1860.118080.236160.88192
1870.1004070.2008140.899593
1880.08703160.1740630.912968
1890.07654020.153080.92346
1900.06659730.1331950.933403
1910.05500940.1100190.944991
1920.04560790.09121580.954392
1930.04373020.08746050.95627
1940.04073880.08147750.959261
1950.03814590.07629190.961854
1960.0327250.06545010.967275
1970.02617640.05235290.973824
1980.02090210.04180420.979098
1990.0383750.07675010.961625
2000.03103630.06207270.968964
2010.04972810.09945610.950272
2020.04723310.09446610.952767
2030.07075880.1415180.929241
2040.06031250.1206250.939687
2050.05354280.1070860.946457
2060.04750340.09500680.952497
2070.03824770.07649540.961752
2080.04991470.09982940.950085
2090.04045560.08091130.959544
2100.03870040.07740080.9613
2110.04617820.09235650.953822
2120.05342840.1068570.946572
2130.05489510.109790.945105
2140.07107960.1421590.92892
2150.06696850.1339370.933031
2160.06344240.1268850.936558
2170.06877280.1375460.931227
2180.05620730.1124150.943793
2190.0915370.1830740.908463
2200.08409720.1681940.915903
2210.07474130.1494830.925259
2220.09880160.1976030.901198
2230.1078760.2157520.892124
2240.1074370.2148750.892563
2250.1072490.2144980.892751
2260.1675330.3350660.832467
2270.4967960.9935930.503204
2280.4436070.8872140.556393
2290.5357060.9285890.464294
2300.4922890.9845780.507711
2310.4495160.8990310.550484
2320.4613720.9227440.538628
2330.5065620.9868770.493438
2340.4493250.898650.550675
2350.5224290.9551430.477571
2360.4824420.9648840.517558
2370.4189070.8378130.581093
2380.3656940.7313880.634306
2390.4000970.8001950.599903
2400.3496850.6993690.650315
2410.3065490.6130990.693451
2420.4264510.8529010.573549
2430.395760.791520.60424
2440.3452890.6905780.654711
2450.3438110.6876210.656189
2460.3175170.6350340.682483
2470.2480660.4961320.751934
2480.2888150.5776310.711185
2490.2895660.5791320.710434
2500.2432210.4864430.756779
2510.2691630.5383270.730837
2520.1913930.3827860.808607
2530.3995740.7991480.600426
2540.5275670.9448650.472433
2550.3741660.7483320.625834






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level20.00809717OK
10% type I error level200.0809717OK

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
Description & # significant tests & % significant tests & OK/NOK \tabularnewline
1% type I error level & 0 & 0 & OK \tabularnewline
5% type I error level & 2 & 0.00809717 & OK \tabularnewline
10% type I error level & 20 & 0.0809717 & OK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=272741&T=6

[TABLE]
[ROW][C]Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]Description[/C][C]# significant tests[/C][C]% significant tests[/C][C]OK/NOK[/C][/ROW]
[ROW][C]1% type I error level[/C][C]0[/C][C]0[/C][C]OK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]2[/C][C]0.00809717[/C][C]OK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]20[/C][C]0.0809717[/C][C]OK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=272741&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=272741&T=6

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


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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level20.00809717OK
10% type I error level200.0809717OK


Figures (Output of Computation)

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

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