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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationMon, 18 Nov 2013 13:21:50 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Nov/18/t138480012512neeh5puplqyop.htm/, Retrieved Sat, 27 Apr 2024 08:23:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=226228, Retrieved Sat, 27 Apr 2024 08:23:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact81

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [Competence to learn] [2010-11-17 07:43:53] [b98453cac15ba1066b407e146608df68]
- R PD    [Multiple Regression] [Workshop 7 1] [2013-11-18 18:21:50] [37aff36f52ac1d7cbcd609d857f1662d] [Current]
- R PD      [Multiple Regression] [Workshop 7 monthl...] [2013-11-20 14:56:48] [cac6c5fb035463be46c296b46e439cb5]
-   P         [Multiple Regression] [Workshop 7 linear...] [2013-11-20 15:25:22] [cac6c5fb035463be46c296b46e439cb5]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
14 41 38 12 13
18 39 32 11 16
11 30 35 14 19
12 31 33 12 15
16 34 37 21 14
18 35 29 12 13
14 39 31 22 19
14 34 36 11 15
15 36 35 10 14
15 37 38 13 15
17 38 31 10 16
19 36 34 8 16
10 38 35 15 16
16 39 38 14 16
18 33 37 10 17
14 32 33 14 15
14 36 32 14 15
17 38 38 11 20
14 39 38 10 18
16 32 32 13 16
18 32 33 9.5 16
11 31 31 14 16
14 39 38 12 19
12 37 39 14 16
17 39 32 11 17
9 41 32 9 17
16 36 35 11 16
14 33 37 15 15
15 33 33 14 16
11 34 33 13 14
16 31 31 9 15
13 27 32 15 12
17 37 31 10 14
15 34 37 11 16
14 34 30 13 14
16 32 33 8 10
9 29 31 20 10
15 36 33 12 14
17 29 31 10 16
13 35 33 10 16
15 37 32 9 16
16 34 33 14 14
16 38 32 8 20
12 35 33 14 14
15 38 28 11 14
11 37 35 13 11
15 38 39 9 14
15 33 34 11 15
17 36 38 15 16
13 38 32 11 14
16 32 38 10 16
14 32 30 14 14
11 32 33 18 12
12 34 38 14 16
12 32 32 11 9
15 37 35 14.5 14
16 39 34 13 16
15 29 34 9 16
12 37 36 10 15
12 35 34 15 16
8 30 28 20 12
13 38 34 12 16
11 34 35 12 16
14 31 35 14 14
15 34 31 13 16
10 35 37 11 17
11 36 35 17 18
12 30 27 12 18
15 39 40 13 12
15 35 37 14 16
14 38 36 13 10
16 31 38 15 14
15 34 39 13 18
15 38 41 10 18
13 34 27 11 16
12 39 30 19 17
17 37 37 13 16
13 34 31 17 16
15 28 31 13 13
13 37 27 9 16
15 33 36 11 16
15 35 37 9 16
16 37 33 12 15
15 32 34 12 15
14 33 31 13 16
15 38 39 13 14
14 33 34 12 16
13 29 32 15 16
7 33 33 22 15
17 31 36 13 12
13 36 32 15 17
15 35 41 13 16
14 32 28 15 15
13 29 30 12.5 13
16 39 36 11 16
12 37 35 16 16
14 35 31 11 16
17 37 34 11 16
15 32 36 10 14
17 38 36 10 16
12 37 35 16 16
16 36 37 12 20
11 32 28 11 15
15 33 39 16 16
9 40 32 19 13
16 38 35 11 17
15 41 39 16 16
10 36 35 15 16
10 43 42 24 12
15 30 34 14 16
11 31 33 15 16
13 32 41 11 17
14 32 33 15 13
18 37 34 12 12
16 37 32 10 18
14 33 40 14 14
14 34 40 13 14
14 33 35 9 13
14 38 36 15 16
12 33 37 15 13
14 31 27 14 16
15 38 39 11 13
15 37 38 8 16
15 36 31 11 15
13 31 33 11 16
17 39 32 8 15
17 44 39 10 17
19 33 36 11 15
15 35 33 13 12
13 32 33 11 16
9 28 32 20 10
15 40 37 10 16
15 27 30 15 12
15 37 38 12 14
16 32 29 14 15
11 28 22 23 13
14 34 35 14 15
11 30 35 16 11
15 35 34 11 12
13 31 35 12 11
15 32 34 10 16
16 30 37 14 15
14 30 35 12 17
15 31 23 12 16
16 40 31 11 10
16 32 27 12 18
11 36 36 13 13
12 32 31 11 16
9 35 32 19 13
16 38 39 12 10
13 42 37 17 15
16 34 38 9 16
12 35 39 12 16
9 38 34 19 14
13 33 31 18 10
13 36 32 15 17
14 32 37 14 13
19 33 36 11 15
13 34 32 9 16
12 32 38 18 12
13 34 36 16 13
10 27 26 24 13
14 31 26 14 12
16 38 33 20 17
10 34 39 18 15
11 24 30 23 10
14 30 33 12 14
12 26 25 14 11
9 34 38 16 13
9 27 37 18 16
11 37 31 20 12
16 36 37 12 16
9 41 35 12 12
13 29 25 17 9
16 36 28 13 12
13 32 35 9 15
9 37 33 16 12
12 30 30 18 12
16 31 31 10 14
11 38 37 14 12
14 36 36 11 16
13 35 30 9 11
15 31 36 11 19
14 38 32 10 15
16 22 28 11 8
13 32 36 19 16
14 36 34 14 17
15 39 31 12 12
13 28 28 14 11
11 32 36 21 11
11 32 36 13 14
14 38 40 10 16
15 32 33 15 12
11 35 37 16 16
15 32 32 14 13
12 37 38 12 15
14 34 31 19 16
14 33 37 15 16
8 33 33 19 14
13 26 32 13 16
9 30 30 17 16
15 24 30 12 14
17 34 31 11 11
13 34 32 14 12
15 33 34 11 15
15 34 36 13 15
14 35 37 12 16
16 35 36 15 16
13 36 33 14 11
16 34 33 12 15
9 34 33 17 12
16 41 44 11 12
11 32 39 18 15
10 30 32 13 15
11 35 35 17 16
15 28 25 13 14
17 33 35 11 17
14 39 34 12 14
8 36 35 22 13
15 36 39 14 15
11 35 33 12 13
16 38 36 12 14
10 33 32 17 15
15 31 32 9 12
9 34 36 21 13
16 32 36 10 8
19 31 32 11 14
12 33 34 12 14
8 34 33 23 11
11 34 35 13 12
14 34 30 12 13
9 33 38 16 10
15 32 34 9 16
13 41 33 17 18
16 34 32 9 13
11 36 31 14 11
12 37 30 17 4
13 36 27 13 13
10 29 31 11 16
11 37 30 12 10
12 27 32 10 12
8 35 35 19 12
12 28 28 16 10
12 35 33 16 13
15 37 31 14 15
11 29 35 20 12
13 32 35 15 14
14 36 32 23 10
10 19 21 20 12
12 21 20 16 12
15 31 34 14 11
13 33 32 17 10
13 36 34 11 12
13 33 32 13 16
12 37 33 17 12
12 34 33 15 14
9 35 37 21 16
9 31 32 18 14
15 37 34 15 13
10 35 30 8 4
14 27 30 12 15
15 34 38 12 11
7 40 36 22 11
14 29 32 12 14

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time13 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 13 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226228&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]13 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226228&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226228&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 time13 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Multiple Linear Regression - Estimated Regression Equation
Happiness[t] = + 16.2821 + 0.0178742Connected[t] + 0.0120349Separate[t] -0.39727Depression[t] + 0.113729Learning[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Happiness[t] =  +  16.2821 +  0.0178742Connected[t] +  0.0120349Separate[t] -0.39727Depression[t] +  0.113729Learning[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226228&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Happiness[t] =  +  16.2821 +  0.0178742Connected[t] +  0.0120349Separate[t] -0.39727Depression[t] +  0.113729Learning[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226228&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226228&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] = + 16.2821 + 0.0178742Connected[t] + 0.0120349Separate[t] -0.39727Depression[t] + 0.113729Learning[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)16.28211.5916410.237.50552e-213.75276e-21
Connected0.01787420.0372470.47990.6317160.315858
Separate0.01203490.03824790.31470.7532770.376638
Depression-0.397270.0371081-10.712.19497e-221.09749e-22
Learning0.1137290.05356722.1230.03469370.0173469

\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) & 16.2821 & 1.59164 & 10.23 & 7.50552e-21 & 3.75276e-21 \tabularnewline
Connected & 0.0178742 & 0.037247 & 0.4799 & 0.631716 & 0.315858 \tabularnewline
Separate & 0.0120349 & 0.0382479 & 0.3147 & 0.753277 & 0.376638 \tabularnewline
Depression & -0.39727 & 0.0371081 & -10.71 & 2.19497e-22 & 1.09749e-22 \tabularnewline
Learning & 0.113729 & 0.0535672 & 2.123 & 0.0346937 & 0.0173469 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226228&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]16.2821[/C][C]1.59164[/C][C]10.23[/C][C]7.50552e-21[/C][C]3.75276e-21[/C][/ROW]
[ROW][C]Connected[/C][C]0.0178742[/C][C]0.037247[/C][C]0.4799[/C][C]0.631716[/C][C]0.315858[/C][/ROW]
[ROW][C]Separate[/C][C]0.0120349[/C][C]0.0382479[/C][C]0.3147[/C][C]0.753277[/C][C]0.376638[/C][/ROW]
[ROW][C]Depression[/C][C]-0.39727[/C][C]0.0371081[/C][C]-10.71[/C][C]2.19497e-22[/C][C]1.09749e-22[/C][/ROW]
[ROW][C]Learning[/C][C]0.113729[/C][C]0.0535672[/C][C]2.123[/C][C]0.0346937[/C][C]0.0173469[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226228&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226228&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)16.28211.5916410.237.50552e-213.75276e-21
Connected0.01787420.0372470.47990.6317160.315858
Separate0.01203490.03824790.31470.7532770.376638
Depression-0.397270.0371081-10.712.19497e-221.09749e-22
Learning0.1137290.05356722.1230.03469370.0173469






Multiple Linear Regression - Regression Statistics
Multiple R0.595756
R-squared0.354925
Adjusted R-squared0.344962
F-TEST (value)35.6259
F-TEST (DF numerator)4
F-TEST (DF denominator)259
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.02226
Sum Squared Residuals1059.19

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.595756 \tabularnewline
R-squared & 0.354925 \tabularnewline
Adjusted R-squared & 0.344962 \tabularnewline
F-TEST (value) & 35.6259 \tabularnewline
F-TEST (DF numerator) & 4 \tabularnewline
F-TEST (DF denominator) & 259 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.02226 \tabularnewline
Sum Squared Residuals & 1059.19 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226228&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.595756[/C][/ROW]
[ROW][C]R-squared[/C][C]0.354925[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.344962[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]35.6259[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]4[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]259[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]2.02226[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]1059.19[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226228&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226228&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 R0.595756
R-squared0.354925
Adjusted R-squared0.344962
F-TEST (value)35.6259
F-TEST (DF numerator)4
F-TEST (DF denominator)259
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.02226
Sum Squared Residuals1059.19






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
11414.1835-0.183531
21814.8143.18597
31113.8386-2.83864
41214.1721-2.17207
51610.58475.41533
61813.9684.03203
71410.77323.22679
81414.6591-0.659069
91514.96630.0336759
101513.94221.05778
111715.18141.81861
121915.97633.02371
131013.2432-3.24318
141613.69442.30557
151815.2782.72204
161413.39540.604594
171413.45490.545132
181715.32331.67672
191415.511-1.51097
201613.89442.10563
211815.29682.70315
221113.4672-2.46719
231414.8302-0.830154
241213.6707-1.67071
251714.92782.07224
26915.758-6.75805
271614.79651.20349
281413.06410.935851
291513.5271.47299
301113.7147-2.7147
311615.33980.660188
321312.55550.444456
331714.93612.06394
341514.78480.215167
351413.67860.321409
361615.21040.789617
37910.3654-1.36545
381514.14770.852286
391715.02051.97948
401315.1518-2.15184
411515.5728-0.572821
421613.31742.68257
431616.4429-0.44288
441213.3353-1.3353
451514.52060.479442
461113.4512-2.4512
471515.4475-0.447482
481514.61710.382875
491713.24353.75646
501314.5687-1.5687
511615.15840.841611
521413.24560.754428
531111.4651-0.465139
541213.6051-1.60506
551213.8928-1.89281
561513.19651.80352
571614.04361.95644
581515.4539-0.453897
591215.11-3.10996
601213.1775-1.17752
61810.5747-2.57468
621314.423-1.42295
631114.3635-3.36349
641413.28790.712127
651513.91811.08192
661014.9164-4.91644
671112.6403-1.64035
681214.4232-2.42317
691513.66091.33915
701513.61091.3891
711413.36740.632617
721612.92673.07329
731514.24180.758181
741515.5292-0.529196
751314.6645-1.66448
761211.72550.274473
771714.04392.95609
781312.3290.670998
791513.46971.53035
801315.5126-2.51265
811514.75490.245077
821515.5972-0.597247
831614.27931.72068
841514.2020.798019
851413.90020.0997913
861513.85841.1416
871414.3336-0.333584
881313.0462-0.0462065
89710.2351-3.23512
901713.46973.53028
911313.2851-0.285055
921514.05630.943694
931412.9381.06204
941313.6741-0.674126
951614.86221.13783
961212.828-0.828035
971414.7305-0.730497
981714.80242.19765
991514.90690.0931379
1001715.24161.75844
1011212.828-0.828035
1021614.87821.12177
1031114.527-3.52704
1041512.80472.19532
105911.3126-2.31256
1061614.9461.05401
1071512.94772.05233
1081013.2074-3.20743
109109.386450.613551
1101513.48541.51458
1111113.094-2.09399
1121314.911-1.91095
1131412.77071.22932
1141813.95024.04983
1151615.4030.596992
1161413.38380.616205
1171413.79890.20106
1181415.1962-1.19624
1191413.25520.744786
1201212.8367-0.836692
1211413.41910.580949
1221514.53920.460787
1231516.0423-1.0423
1241514.63460.365357
1251314.6831-1.68307
1261715.89211.10789
1271715.49861.50136
1281914.64124.35881
1291513.50511.49489
1301314.7009-1.70094
131910.3596-1.35961
1321515.2893-0.289348
1331512.53152.46853
1341514.22580.774237
1351613.34732.65273
136119.388641.61136
1371413.45520.544776
1381112.1343-1.13427
1391514.31170.688312
1401313.7412-0.741227
1411515.1102-0.11025
1421613.40782.5922
1431414.4057-0.405724
1441514.16550.834549
1451614.13751.8625
1461614.45891.54108
1471113.6728-2.67282
1481214.6769-2.67687
149911.2232-2.22319
1501613.80082.19924
1511312.43050.569523
1521615.59140.408592
1531214.4295-2.42951
154911.4146-2.41461
1551311.23151.76851
1561313.2851-0.285055
1571413.21610.783912
1581914.64124.35881
1591315.5192-2.5192
1601211.52530.474686
1611312.44530.554739
162109.021630.978368
1631412.95211.0479
1641611.34654.65351
1651011.9143-1.91428
166119.072231.92777
1671414.0405-0.0404688
1681212.737-0.736967
169912.4693-3.46933
170911.8788-2.87882
1711110.73590.2641
1721614.42331.57669
173914.0337-5.0337
1741311.37131.62868
1751613.46282.53719
1761315.4058-2.40583
177912.3491-3.34905
1781211.39330.606714
1791614.82881.17119
1801113.2096-2.2096
1811414.8085-0.808546
1821314.9444-1.94436
1831515.0604-0.0603608
1841415.0797-1.0797
1851613.55222.4478
1861311.55891.44111
1871413.70640.293605
1881513.94981.05019
1891312.80880.19118
1901110.19570.804295
1911113.7151-2.71505
1921415.2897-1.2897
1931512.65692.34305
1941112.8164-1.81636
1951513.15591.84409
1961214.3395-2.33949
1971411.53452.46554
1981413.17790.822122
199811.3132-3.3132
2001313.7871-0.787124
201912.2455-3.24547
2021513.89711.10288
2031714.1442.85602
2041313.0779-0.0779333
2051514.61710.382875
2061513.86451.13547
2071414.4054-0.405437
2081613.20162.79841
2091313.012-0.0119881
2101614.22571.77431
211911.8982-2.89816
2121614.53931.46072
2131111.8785-0.878534
2141013.7449-3.74489
2151112.395-1.39502
2161513.51121.48883
2171714.85662.14338
2181414.2134-0.213372
219810.0854-2.08535
2201513.53911.46089
2211114.0161-3.01611
2221614.21961.78043
2231012.2094-2.20943
2241515.0107-0.0106613
225910.4589-1.45891
2261614.22451.77551
2271914.44364.55642
2281214.1061-2.10613
22989.40081-1.40081
2301113.5113-2.51131
2311413.96210.0378676
232912.1103-3.11027
2331515.5075-0.50752
2341312.70560.294351
2351615.1780.821987
2361112.9879-1.98792
2371211.00580.994153
2381313.5645-0.564506
2391014.6233-4.62325
2401113.6746-2.67457
2411214.5419-2.54189
242811.1456-3.14556
2431211.90060.099449
2441212.427-0.427031
2451513.46071.53929
2461110.6410.358954
2471312.90850.0915234
248149.310794.68921
2491010.2938-0.293815
2501211.90660.0933906
2511512.93472.06535
2521311.64081.35921
2531314.3296-1.32956
2541313.9122-0.912244
2551211.95180.0482195
2561212.9202-0.920155
257910.83-1.83001
258911.6627-2.66269
2591512.87212.12792
2601014.5455-4.54553
2611414.0645-0.06447
2621513.8311.16905
26379.94143-2.94143
2641414.0106-0.0105596

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 14 & 14.1835 & -0.183531 \tabularnewline
2 & 18 & 14.814 & 3.18597 \tabularnewline
3 & 11 & 13.8386 & -2.83864 \tabularnewline
4 & 12 & 14.1721 & -2.17207 \tabularnewline
5 & 16 & 10.5847 & 5.41533 \tabularnewline
6 & 18 & 13.968 & 4.03203 \tabularnewline
7 & 14 & 10.7732 & 3.22679 \tabularnewline
8 & 14 & 14.6591 & -0.659069 \tabularnewline
9 & 15 & 14.9663 & 0.0336759 \tabularnewline
10 & 15 & 13.9422 & 1.05778 \tabularnewline
11 & 17 & 15.1814 & 1.81861 \tabularnewline
12 & 19 & 15.9763 & 3.02371 \tabularnewline
13 & 10 & 13.2432 & -3.24318 \tabularnewline
14 & 16 & 13.6944 & 2.30557 \tabularnewline
15 & 18 & 15.278 & 2.72204 \tabularnewline
16 & 14 & 13.3954 & 0.604594 \tabularnewline
17 & 14 & 13.4549 & 0.545132 \tabularnewline
18 & 17 & 15.3233 & 1.67672 \tabularnewline
19 & 14 & 15.511 & -1.51097 \tabularnewline
20 & 16 & 13.8944 & 2.10563 \tabularnewline
21 & 18 & 15.2968 & 2.70315 \tabularnewline
22 & 11 & 13.4672 & -2.46719 \tabularnewline
23 & 14 & 14.8302 & -0.830154 \tabularnewline
24 & 12 & 13.6707 & -1.67071 \tabularnewline
25 & 17 & 14.9278 & 2.07224 \tabularnewline
26 & 9 & 15.758 & -6.75805 \tabularnewline
27 & 16 & 14.7965 & 1.20349 \tabularnewline
28 & 14 & 13.0641 & 0.935851 \tabularnewline
29 & 15 & 13.527 & 1.47299 \tabularnewline
30 & 11 & 13.7147 & -2.7147 \tabularnewline
31 & 16 & 15.3398 & 0.660188 \tabularnewline
32 & 13 & 12.5555 & 0.444456 \tabularnewline
33 & 17 & 14.9361 & 2.06394 \tabularnewline
34 & 15 & 14.7848 & 0.215167 \tabularnewline
35 & 14 & 13.6786 & 0.321409 \tabularnewline
36 & 16 & 15.2104 & 0.789617 \tabularnewline
37 & 9 & 10.3654 & -1.36545 \tabularnewline
38 & 15 & 14.1477 & 0.852286 \tabularnewline
39 & 17 & 15.0205 & 1.97948 \tabularnewline
40 & 13 & 15.1518 & -2.15184 \tabularnewline
41 & 15 & 15.5728 & -0.572821 \tabularnewline
42 & 16 & 13.3174 & 2.68257 \tabularnewline
43 & 16 & 16.4429 & -0.44288 \tabularnewline
44 & 12 & 13.3353 & -1.3353 \tabularnewline
45 & 15 & 14.5206 & 0.479442 \tabularnewline
46 & 11 & 13.4512 & -2.4512 \tabularnewline
47 & 15 & 15.4475 & -0.447482 \tabularnewline
48 & 15 & 14.6171 & 0.382875 \tabularnewline
49 & 17 & 13.2435 & 3.75646 \tabularnewline
50 & 13 & 14.5687 & -1.5687 \tabularnewline
51 & 16 & 15.1584 & 0.841611 \tabularnewline
52 & 14 & 13.2456 & 0.754428 \tabularnewline
53 & 11 & 11.4651 & -0.465139 \tabularnewline
54 & 12 & 13.6051 & -1.60506 \tabularnewline
55 & 12 & 13.8928 & -1.89281 \tabularnewline
56 & 15 & 13.1965 & 1.80352 \tabularnewline
57 & 16 & 14.0436 & 1.95644 \tabularnewline
58 & 15 & 15.4539 & -0.453897 \tabularnewline
59 & 12 & 15.11 & -3.10996 \tabularnewline
60 & 12 & 13.1775 & -1.17752 \tabularnewline
61 & 8 & 10.5747 & -2.57468 \tabularnewline
62 & 13 & 14.423 & -1.42295 \tabularnewline
63 & 11 & 14.3635 & -3.36349 \tabularnewline
64 & 14 & 13.2879 & 0.712127 \tabularnewline
65 & 15 & 13.9181 & 1.08192 \tabularnewline
66 & 10 & 14.9164 & -4.91644 \tabularnewline
67 & 11 & 12.6403 & -1.64035 \tabularnewline
68 & 12 & 14.4232 & -2.42317 \tabularnewline
69 & 15 & 13.6609 & 1.33915 \tabularnewline
70 & 15 & 13.6109 & 1.3891 \tabularnewline
71 & 14 & 13.3674 & 0.632617 \tabularnewline
72 & 16 & 12.9267 & 3.07329 \tabularnewline
73 & 15 & 14.2418 & 0.758181 \tabularnewline
74 & 15 & 15.5292 & -0.529196 \tabularnewline
75 & 13 & 14.6645 & -1.66448 \tabularnewline
76 & 12 & 11.7255 & 0.274473 \tabularnewline
77 & 17 & 14.0439 & 2.95609 \tabularnewline
78 & 13 & 12.329 & 0.670998 \tabularnewline
79 & 15 & 13.4697 & 1.53035 \tabularnewline
80 & 13 & 15.5126 & -2.51265 \tabularnewline
81 & 15 & 14.7549 & 0.245077 \tabularnewline
82 & 15 & 15.5972 & -0.597247 \tabularnewline
83 & 16 & 14.2793 & 1.72068 \tabularnewline
84 & 15 & 14.202 & 0.798019 \tabularnewline
85 & 14 & 13.9002 & 0.0997913 \tabularnewline
86 & 15 & 13.8584 & 1.1416 \tabularnewline
87 & 14 & 14.3336 & -0.333584 \tabularnewline
88 & 13 & 13.0462 & -0.0462065 \tabularnewline
89 & 7 & 10.2351 & -3.23512 \tabularnewline
90 & 17 & 13.4697 & 3.53028 \tabularnewline
91 & 13 & 13.2851 & -0.285055 \tabularnewline
92 & 15 & 14.0563 & 0.943694 \tabularnewline
93 & 14 & 12.938 & 1.06204 \tabularnewline
94 & 13 & 13.6741 & -0.674126 \tabularnewline
95 & 16 & 14.8622 & 1.13783 \tabularnewline
96 & 12 & 12.828 & -0.828035 \tabularnewline
97 & 14 & 14.7305 & -0.730497 \tabularnewline
98 & 17 & 14.8024 & 2.19765 \tabularnewline
99 & 15 & 14.9069 & 0.0931379 \tabularnewline
100 & 17 & 15.2416 & 1.75844 \tabularnewline
101 & 12 & 12.828 & -0.828035 \tabularnewline
102 & 16 & 14.8782 & 1.12177 \tabularnewline
103 & 11 & 14.527 & -3.52704 \tabularnewline
104 & 15 & 12.8047 & 2.19532 \tabularnewline
105 & 9 & 11.3126 & -2.31256 \tabularnewline
106 & 16 & 14.946 & 1.05401 \tabularnewline
107 & 15 & 12.9477 & 2.05233 \tabularnewline
108 & 10 & 13.2074 & -3.20743 \tabularnewline
109 & 10 & 9.38645 & 0.613551 \tabularnewline
110 & 15 & 13.4854 & 1.51458 \tabularnewline
111 & 11 & 13.094 & -2.09399 \tabularnewline
112 & 13 & 14.911 & -1.91095 \tabularnewline
113 & 14 & 12.7707 & 1.22932 \tabularnewline
114 & 18 & 13.9502 & 4.04983 \tabularnewline
115 & 16 & 15.403 & 0.596992 \tabularnewline
116 & 14 & 13.3838 & 0.616205 \tabularnewline
117 & 14 & 13.7989 & 0.20106 \tabularnewline
118 & 14 & 15.1962 & -1.19624 \tabularnewline
119 & 14 & 13.2552 & 0.744786 \tabularnewline
120 & 12 & 12.8367 & -0.836692 \tabularnewline
121 & 14 & 13.4191 & 0.580949 \tabularnewline
122 & 15 & 14.5392 & 0.460787 \tabularnewline
123 & 15 & 16.0423 & -1.0423 \tabularnewline
124 & 15 & 14.6346 & 0.365357 \tabularnewline
125 & 13 & 14.6831 & -1.68307 \tabularnewline
126 & 17 & 15.8921 & 1.10789 \tabularnewline
127 & 17 & 15.4986 & 1.50136 \tabularnewline
128 & 19 & 14.6412 & 4.35881 \tabularnewline
129 & 15 & 13.5051 & 1.49489 \tabularnewline
130 & 13 & 14.7009 & -1.70094 \tabularnewline
131 & 9 & 10.3596 & -1.35961 \tabularnewline
132 & 15 & 15.2893 & -0.289348 \tabularnewline
133 & 15 & 12.5315 & 2.46853 \tabularnewline
134 & 15 & 14.2258 & 0.774237 \tabularnewline
135 & 16 & 13.3473 & 2.65273 \tabularnewline
136 & 11 & 9.38864 & 1.61136 \tabularnewline
137 & 14 & 13.4552 & 0.544776 \tabularnewline
138 & 11 & 12.1343 & -1.13427 \tabularnewline
139 & 15 & 14.3117 & 0.688312 \tabularnewline
140 & 13 & 13.7412 & -0.741227 \tabularnewline
141 & 15 & 15.1102 & -0.11025 \tabularnewline
142 & 16 & 13.4078 & 2.5922 \tabularnewline
143 & 14 & 14.4057 & -0.405724 \tabularnewline
144 & 15 & 14.1655 & 0.834549 \tabularnewline
145 & 16 & 14.1375 & 1.8625 \tabularnewline
146 & 16 & 14.4589 & 1.54108 \tabularnewline
147 & 11 & 13.6728 & -2.67282 \tabularnewline
148 & 12 & 14.6769 & -2.67687 \tabularnewline
149 & 9 & 11.2232 & -2.22319 \tabularnewline
150 & 16 & 13.8008 & 2.19924 \tabularnewline
151 & 13 & 12.4305 & 0.569523 \tabularnewline
152 & 16 & 15.5914 & 0.408592 \tabularnewline
153 & 12 & 14.4295 & -2.42951 \tabularnewline
154 & 9 & 11.4146 & -2.41461 \tabularnewline
155 & 13 & 11.2315 & 1.76851 \tabularnewline
156 & 13 & 13.2851 & -0.285055 \tabularnewline
157 & 14 & 13.2161 & 0.783912 \tabularnewline
158 & 19 & 14.6412 & 4.35881 \tabularnewline
159 & 13 & 15.5192 & -2.5192 \tabularnewline
160 & 12 & 11.5253 & 0.474686 \tabularnewline
161 & 13 & 12.4453 & 0.554739 \tabularnewline
162 & 10 & 9.02163 & 0.978368 \tabularnewline
163 & 14 & 12.9521 & 1.0479 \tabularnewline
164 & 16 & 11.3465 & 4.65351 \tabularnewline
165 & 10 & 11.9143 & -1.91428 \tabularnewline
166 & 11 & 9.07223 & 1.92777 \tabularnewline
167 & 14 & 14.0405 & -0.0404688 \tabularnewline
168 & 12 & 12.737 & -0.736967 \tabularnewline
169 & 9 & 12.4693 & -3.46933 \tabularnewline
170 & 9 & 11.8788 & -2.87882 \tabularnewline
171 & 11 & 10.7359 & 0.2641 \tabularnewline
172 & 16 & 14.4233 & 1.57669 \tabularnewline
173 & 9 & 14.0337 & -5.0337 \tabularnewline
174 & 13 & 11.3713 & 1.62868 \tabularnewline
175 & 16 & 13.4628 & 2.53719 \tabularnewline
176 & 13 & 15.4058 & -2.40583 \tabularnewline
177 & 9 & 12.3491 & -3.34905 \tabularnewline
178 & 12 & 11.3933 & 0.606714 \tabularnewline
179 & 16 & 14.8288 & 1.17119 \tabularnewline
180 & 11 & 13.2096 & -2.2096 \tabularnewline
181 & 14 & 14.8085 & -0.808546 \tabularnewline
182 & 13 & 14.9444 & -1.94436 \tabularnewline
183 & 15 & 15.0604 & -0.0603608 \tabularnewline
184 & 14 & 15.0797 & -1.0797 \tabularnewline
185 & 16 & 13.5522 & 2.4478 \tabularnewline
186 & 13 & 11.5589 & 1.44111 \tabularnewline
187 & 14 & 13.7064 & 0.293605 \tabularnewline
188 & 15 & 13.9498 & 1.05019 \tabularnewline
189 & 13 & 12.8088 & 0.19118 \tabularnewline
190 & 11 & 10.1957 & 0.804295 \tabularnewline
191 & 11 & 13.7151 & -2.71505 \tabularnewline
192 & 14 & 15.2897 & -1.2897 \tabularnewline
193 & 15 & 12.6569 & 2.34305 \tabularnewline
194 & 11 & 12.8164 & -1.81636 \tabularnewline
195 & 15 & 13.1559 & 1.84409 \tabularnewline
196 & 12 & 14.3395 & -2.33949 \tabularnewline
197 & 14 & 11.5345 & 2.46554 \tabularnewline
198 & 14 & 13.1779 & 0.822122 \tabularnewline
199 & 8 & 11.3132 & -3.3132 \tabularnewline
200 & 13 & 13.7871 & -0.787124 \tabularnewline
201 & 9 & 12.2455 & -3.24547 \tabularnewline
202 & 15 & 13.8971 & 1.10288 \tabularnewline
203 & 17 & 14.144 & 2.85602 \tabularnewline
204 & 13 & 13.0779 & -0.0779333 \tabularnewline
205 & 15 & 14.6171 & 0.382875 \tabularnewline
206 & 15 & 13.8645 & 1.13547 \tabularnewline
207 & 14 & 14.4054 & -0.405437 \tabularnewline
208 & 16 & 13.2016 & 2.79841 \tabularnewline
209 & 13 & 13.012 & -0.0119881 \tabularnewline
210 & 16 & 14.2257 & 1.77431 \tabularnewline
211 & 9 & 11.8982 & -2.89816 \tabularnewline
212 & 16 & 14.5393 & 1.46072 \tabularnewline
213 & 11 & 11.8785 & -0.878534 \tabularnewline
214 & 10 & 13.7449 & -3.74489 \tabularnewline
215 & 11 & 12.395 & -1.39502 \tabularnewline
216 & 15 & 13.5112 & 1.48883 \tabularnewline
217 & 17 & 14.8566 & 2.14338 \tabularnewline
218 & 14 & 14.2134 & -0.213372 \tabularnewline
219 & 8 & 10.0854 & -2.08535 \tabularnewline
220 & 15 & 13.5391 & 1.46089 \tabularnewline
221 & 11 & 14.0161 & -3.01611 \tabularnewline
222 & 16 & 14.2196 & 1.78043 \tabularnewline
223 & 10 & 12.2094 & -2.20943 \tabularnewline
224 & 15 & 15.0107 & -0.0106613 \tabularnewline
225 & 9 & 10.4589 & -1.45891 \tabularnewline
226 & 16 & 14.2245 & 1.77551 \tabularnewline
227 & 19 & 14.4436 & 4.55642 \tabularnewline
228 & 12 & 14.1061 & -2.10613 \tabularnewline
229 & 8 & 9.40081 & -1.40081 \tabularnewline
230 & 11 & 13.5113 & -2.51131 \tabularnewline
231 & 14 & 13.9621 & 0.0378676 \tabularnewline
232 & 9 & 12.1103 & -3.11027 \tabularnewline
233 & 15 & 15.5075 & -0.50752 \tabularnewline
234 & 13 & 12.7056 & 0.294351 \tabularnewline
235 & 16 & 15.178 & 0.821987 \tabularnewline
236 & 11 & 12.9879 & -1.98792 \tabularnewline
237 & 12 & 11.0058 & 0.994153 \tabularnewline
238 & 13 & 13.5645 & -0.564506 \tabularnewline
239 & 10 & 14.6233 & -4.62325 \tabularnewline
240 & 11 & 13.6746 & -2.67457 \tabularnewline
241 & 12 & 14.5419 & -2.54189 \tabularnewline
242 & 8 & 11.1456 & -3.14556 \tabularnewline
243 & 12 & 11.9006 & 0.099449 \tabularnewline
244 & 12 & 12.427 & -0.427031 \tabularnewline
245 & 15 & 13.4607 & 1.53929 \tabularnewline
246 & 11 & 10.641 & 0.358954 \tabularnewline
247 & 13 & 12.9085 & 0.0915234 \tabularnewline
248 & 14 & 9.31079 & 4.68921 \tabularnewline
249 & 10 & 10.2938 & -0.293815 \tabularnewline
250 & 12 & 11.9066 & 0.0933906 \tabularnewline
251 & 15 & 12.9347 & 2.06535 \tabularnewline
252 & 13 & 11.6408 & 1.35921 \tabularnewline
253 & 13 & 14.3296 & -1.32956 \tabularnewline
254 & 13 & 13.9122 & -0.912244 \tabularnewline
255 & 12 & 11.9518 & 0.0482195 \tabularnewline
256 & 12 & 12.9202 & -0.920155 \tabularnewline
257 & 9 & 10.83 & -1.83001 \tabularnewline
258 & 9 & 11.6627 & -2.66269 \tabularnewline
259 & 15 & 12.8721 & 2.12792 \tabularnewline
260 & 10 & 14.5455 & -4.54553 \tabularnewline
261 & 14 & 14.0645 & -0.06447 \tabularnewline
262 & 15 & 13.831 & 1.16905 \tabularnewline
263 & 7 & 9.94143 & -2.94143 \tabularnewline
264 & 14 & 14.0106 & -0.0105596 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226228&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]14.1835[/C][C]-0.183531[/C][/ROW]
[ROW][C]2[/C][C]18[/C][C]14.814[/C][C]3.18597[/C][/ROW]
[ROW][C]3[/C][C]11[/C][C]13.8386[/C][C]-2.83864[/C][/ROW]
[ROW][C]4[/C][C]12[/C][C]14.1721[/C][C]-2.17207[/C][/ROW]
[ROW][C]5[/C][C]16[/C][C]10.5847[/C][C]5.41533[/C][/ROW]
[ROW][C]6[/C][C]18[/C][C]13.968[/C][C]4.03203[/C][/ROW]
[ROW][C]7[/C][C]14[/C][C]10.7732[/C][C]3.22679[/C][/ROW]
[ROW][C]8[/C][C]14[/C][C]14.6591[/C][C]-0.659069[/C][/ROW]
[ROW][C]9[/C][C]15[/C][C]14.9663[/C][C]0.0336759[/C][/ROW]
[ROW][C]10[/C][C]15[/C][C]13.9422[/C][C]1.05778[/C][/ROW]
[ROW][C]11[/C][C]17[/C][C]15.1814[/C][C]1.81861[/C][/ROW]
[ROW][C]12[/C][C]19[/C][C]15.9763[/C][C]3.02371[/C][/ROW]
[ROW][C]13[/C][C]10[/C][C]13.2432[/C][C]-3.24318[/C][/ROW]
[ROW][C]14[/C][C]16[/C][C]13.6944[/C][C]2.30557[/C][/ROW]
[ROW][C]15[/C][C]18[/C][C]15.278[/C][C]2.72204[/C][/ROW]
[ROW][C]16[/C][C]14[/C][C]13.3954[/C][C]0.604594[/C][/ROW]
[ROW][C]17[/C][C]14[/C][C]13.4549[/C][C]0.545132[/C][/ROW]
[ROW][C]18[/C][C]17[/C][C]15.3233[/C][C]1.67672[/C][/ROW]
[ROW][C]19[/C][C]14[/C][C]15.511[/C][C]-1.51097[/C][/ROW]
[ROW][C]20[/C][C]16[/C][C]13.8944[/C][C]2.10563[/C][/ROW]
[ROW][C]21[/C][C]18[/C][C]15.2968[/C][C]2.70315[/C][/ROW]
[ROW][C]22[/C][C]11[/C][C]13.4672[/C][C]-2.46719[/C][/ROW]
[ROW][C]23[/C][C]14[/C][C]14.8302[/C][C]-0.830154[/C][/ROW]
[ROW][C]24[/C][C]12[/C][C]13.6707[/C][C]-1.67071[/C][/ROW]
[ROW][C]25[/C][C]17[/C][C]14.9278[/C][C]2.07224[/C][/ROW]
[ROW][C]26[/C][C]9[/C][C]15.758[/C][C]-6.75805[/C][/ROW]
[ROW][C]27[/C][C]16[/C][C]14.7965[/C][C]1.20349[/C][/ROW]
[ROW][C]28[/C][C]14[/C][C]13.0641[/C][C]0.935851[/C][/ROW]
[ROW][C]29[/C][C]15[/C][C]13.527[/C][C]1.47299[/C][/ROW]
[ROW][C]30[/C][C]11[/C][C]13.7147[/C][C]-2.7147[/C][/ROW]
[ROW][C]31[/C][C]16[/C][C]15.3398[/C][C]0.660188[/C][/ROW]
[ROW][C]32[/C][C]13[/C][C]12.5555[/C][C]0.444456[/C][/ROW]
[ROW][C]33[/C][C]17[/C][C]14.9361[/C][C]2.06394[/C][/ROW]
[ROW][C]34[/C][C]15[/C][C]14.7848[/C][C]0.215167[/C][/ROW]
[ROW][C]35[/C][C]14[/C][C]13.6786[/C][C]0.321409[/C][/ROW]
[ROW][C]36[/C][C]16[/C][C]15.2104[/C][C]0.789617[/C][/ROW]
[ROW][C]37[/C][C]9[/C][C]10.3654[/C][C]-1.36545[/C][/ROW]
[ROW][C]38[/C][C]15[/C][C]14.1477[/C][C]0.852286[/C][/ROW]
[ROW][C]39[/C][C]17[/C][C]15.0205[/C][C]1.97948[/C][/ROW]
[ROW][C]40[/C][C]13[/C][C]15.1518[/C][C]-2.15184[/C][/ROW]
[ROW][C]41[/C][C]15[/C][C]15.5728[/C][C]-0.572821[/C][/ROW]
[ROW][C]42[/C][C]16[/C][C]13.3174[/C][C]2.68257[/C][/ROW]
[ROW][C]43[/C][C]16[/C][C]16.4429[/C][C]-0.44288[/C][/ROW]
[ROW][C]44[/C][C]12[/C][C]13.3353[/C][C]-1.3353[/C][/ROW]
[ROW][C]45[/C][C]15[/C][C]14.5206[/C][C]0.479442[/C][/ROW]
[ROW][C]46[/C][C]11[/C][C]13.4512[/C][C]-2.4512[/C][/ROW]
[ROW][C]47[/C][C]15[/C][C]15.4475[/C][C]-0.447482[/C][/ROW]
[ROW][C]48[/C][C]15[/C][C]14.6171[/C][C]0.382875[/C][/ROW]
[ROW][C]49[/C][C]17[/C][C]13.2435[/C][C]3.75646[/C][/ROW]
[ROW][C]50[/C][C]13[/C][C]14.5687[/C][C]-1.5687[/C][/ROW]
[ROW][C]51[/C][C]16[/C][C]15.1584[/C][C]0.841611[/C][/ROW]
[ROW][C]52[/C][C]14[/C][C]13.2456[/C][C]0.754428[/C][/ROW]
[ROW][C]53[/C][C]11[/C][C]11.4651[/C][C]-0.465139[/C][/ROW]
[ROW][C]54[/C][C]12[/C][C]13.6051[/C][C]-1.60506[/C][/ROW]
[ROW][C]55[/C][C]12[/C][C]13.8928[/C][C]-1.89281[/C][/ROW]
[ROW][C]56[/C][C]15[/C][C]13.1965[/C][C]1.80352[/C][/ROW]
[ROW][C]57[/C][C]16[/C][C]14.0436[/C][C]1.95644[/C][/ROW]
[ROW][C]58[/C][C]15[/C][C]15.4539[/C][C]-0.453897[/C][/ROW]
[ROW][C]59[/C][C]12[/C][C]15.11[/C][C]-3.10996[/C][/ROW]
[ROW][C]60[/C][C]12[/C][C]13.1775[/C][C]-1.17752[/C][/ROW]
[ROW][C]61[/C][C]8[/C][C]10.5747[/C][C]-2.57468[/C][/ROW]
[ROW][C]62[/C][C]13[/C][C]14.423[/C][C]-1.42295[/C][/ROW]
[ROW][C]63[/C][C]11[/C][C]14.3635[/C][C]-3.36349[/C][/ROW]
[ROW][C]64[/C][C]14[/C][C]13.2879[/C][C]0.712127[/C][/ROW]
[ROW][C]65[/C][C]15[/C][C]13.9181[/C][C]1.08192[/C][/ROW]
[ROW][C]66[/C][C]10[/C][C]14.9164[/C][C]-4.91644[/C][/ROW]
[ROW][C]67[/C][C]11[/C][C]12.6403[/C][C]-1.64035[/C][/ROW]
[ROW][C]68[/C][C]12[/C][C]14.4232[/C][C]-2.42317[/C][/ROW]
[ROW][C]69[/C][C]15[/C][C]13.6609[/C][C]1.33915[/C][/ROW]
[ROW][C]70[/C][C]15[/C][C]13.6109[/C][C]1.3891[/C][/ROW]
[ROW][C]71[/C][C]14[/C][C]13.3674[/C][C]0.632617[/C][/ROW]
[ROW][C]72[/C][C]16[/C][C]12.9267[/C][C]3.07329[/C][/ROW]
[ROW][C]73[/C][C]15[/C][C]14.2418[/C][C]0.758181[/C][/ROW]
[ROW][C]74[/C][C]15[/C][C]15.5292[/C][C]-0.529196[/C][/ROW]
[ROW][C]75[/C][C]13[/C][C]14.6645[/C][C]-1.66448[/C][/ROW]
[ROW][C]76[/C][C]12[/C][C]11.7255[/C][C]0.274473[/C][/ROW]
[ROW][C]77[/C][C]17[/C][C]14.0439[/C][C]2.95609[/C][/ROW]
[ROW][C]78[/C][C]13[/C][C]12.329[/C][C]0.670998[/C][/ROW]
[ROW][C]79[/C][C]15[/C][C]13.4697[/C][C]1.53035[/C][/ROW]
[ROW][C]80[/C][C]13[/C][C]15.5126[/C][C]-2.51265[/C][/ROW]
[ROW][C]81[/C][C]15[/C][C]14.7549[/C][C]0.245077[/C][/ROW]
[ROW][C]82[/C][C]15[/C][C]15.5972[/C][C]-0.597247[/C][/ROW]
[ROW][C]83[/C][C]16[/C][C]14.2793[/C][C]1.72068[/C][/ROW]
[ROW][C]84[/C][C]15[/C][C]14.202[/C][C]0.798019[/C][/ROW]
[ROW][C]85[/C][C]14[/C][C]13.9002[/C][C]0.0997913[/C][/ROW]
[ROW][C]86[/C][C]15[/C][C]13.8584[/C][C]1.1416[/C][/ROW]
[ROW][C]87[/C][C]14[/C][C]14.3336[/C][C]-0.333584[/C][/ROW]
[ROW][C]88[/C][C]13[/C][C]13.0462[/C][C]-0.0462065[/C][/ROW]
[ROW][C]89[/C][C]7[/C][C]10.2351[/C][C]-3.23512[/C][/ROW]
[ROW][C]90[/C][C]17[/C][C]13.4697[/C][C]3.53028[/C][/ROW]
[ROW][C]91[/C][C]13[/C][C]13.2851[/C][C]-0.285055[/C][/ROW]
[ROW][C]92[/C][C]15[/C][C]14.0563[/C][C]0.943694[/C][/ROW]
[ROW][C]93[/C][C]14[/C][C]12.938[/C][C]1.06204[/C][/ROW]
[ROW][C]94[/C][C]13[/C][C]13.6741[/C][C]-0.674126[/C][/ROW]
[ROW][C]95[/C][C]16[/C][C]14.8622[/C][C]1.13783[/C][/ROW]
[ROW][C]96[/C][C]12[/C][C]12.828[/C][C]-0.828035[/C][/ROW]
[ROW][C]97[/C][C]14[/C][C]14.7305[/C][C]-0.730497[/C][/ROW]
[ROW][C]98[/C][C]17[/C][C]14.8024[/C][C]2.19765[/C][/ROW]
[ROW][C]99[/C][C]15[/C][C]14.9069[/C][C]0.0931379[/C][/ROW]
[ROW][C]100[/C][C]17[/C][C]15.2416[/C][C]1.75844[/C][/ROW]
[ROW][C]101[/C][C]12[/C][C]12.828[/C][C]-0.828035[/C][/ROW]
[ROW][C]102[/C][C]16[/C][C]14.8782[/C][C]1.12177[/C][/ROW]
[ROW][C]103[/C][C]11[/C][C]14.527[/C][C]-3.52704[/C][/ROW]
[ROW][C]104[/C][C]15[/C][C]12.8047[/C][C]2.19532[/C][/ROW]
[ROW][C]105[/C][C]9[/C][C]11.3126[/C][C]-2.31256[/C][/ROW]
[ROW][C]106[/C][C]16[/C][C]14.946[/C][C]1.05401[/C][/ROW]
[ROW][C]107[/C][C]15[/C][C]12.9477[/C][C]2.05233[/C][/ROW]
[ROW][C]108[/C][C]10[/C][C]13.2074[/C][C]-3.20743[/C][/ROW]
[ROW][C]109[/C][C]10[/C][C]9.38645[/C][C]0.613551[/C][/ROW]
[ROW][C]110[/C][C]15[/C][C]13.4854[/C][C]1.51458[/C][/ROW]
[ROW][C]111[/C][C]11[/C][C]13.094[/C][C]-2.09399[/C][/ROW]
[ROW][C]112[/C][C]13[/C][C]14.911[/C][C]-1.91095[/C][/ROW]
[ROW][C]113[/C][C]14[/C][C]12.7707[/C][C]1.22932[/C][/ROW]
[ROW][C]114[/C][C]18[/C][C]13.9502[/C][C]4.04983[/C][/ROW]
[ROW][C]115[/C][C]16[/C][C]15.403[/C][C]0.596992[/C][/ROW]
[ROW][C]116[/C][C]14[/C][C]13.3838[/C][C]0.616205[/C][/ROW]
[ROW][C]117[/C][C]14[/C][C]13.7989[/C][C]0.20106[/C][/ROW]
[ROW][C]118[/C][C]14[/C][C]15.1962[/C][C]-1.19624[/C][/ROW]
[ROW][C]119[/C][C]14[/C][C]13.2552[/C][C]0.744786[/C][/ROW]
[ROW][C]120[/C][C]12[/C][C]12.8367[/C][C]-0.836692[/C][/ROW]
[ROW][C]121[/C][C]14[/C][C]13.4191[/C][C]0.580949[/C][/ROW]
[ROW][C]122[/C][C]15[/C][C]14.5392[/C][C]0.460787[/C][/ROW]
[ROW][C]123[/C][C]15[/C][C]16.0423[/C][C]-1.0423[/C][/ROW]
[ROW][C]124[/C][C]15[/C][C]14.6346[/C][C]0.365357[/C][/ROW]
[ROW][C]125[/C][C]13[/C][C]14.6831[/C][C]-1.68307[/C][/ROW]
[ROW][C]126[/C][C]17[/C][C]15.8921[/C][C]1.10789[/C][/ROW]
[ROW][C]127[/C][C]17[/C][C]15.4986[/C][C]1.50136[/C][/ROW]
[ROW][C]128[/C][C]19[/C][C]14.6412[/C][C]4.35881[/C][/ROW]
[ROW][C]129[/C][C]15[/C][C]13.5051[/C][C]1.49489[/C][/ROW]
[ROW][C]130[/C][C]13[/C][C]14.7009[/C][C]-1.70094[/C][/ROW]
[ROW][C]131[/C][C]9[/C][C]10.3596[/C][C]-1.35961[/C][/ROW]
[ROW][C]132[/C][C]15[/C][C]15.2893[/C][C]-0.289348[/C][/ROW]
[ROW][C]133[/C][C]15[/C][C]12.5315[/C][C]2.46853[/C][/ROW]
[ROW][C]134[/C][C]15[/C][C]14.2258[/C][C]0.774237[/C][/ROW]
[ROW][C]135[/C][C]16[/C][C]13.3473[/C][C]2.65273[/C][/ROW]
[ROW][C]136[/C][C]11[/C][C]9.38864[/C][C]1.61136[/C][/ROW]
[ROW][C]137[/C][C]14[/C][C]13.4552[/C][C]0.544776[/C][/ROW]
[ROW][C]138[/C][C]11[/C][C]12.1343[/C][C]-1.13427[/C][/ROW]
[ROW][C]139[/C][C]15[/C][C]14.3117[/C][C]0.688312[/C][/ROW]
[ROW][C]140[/C][C]13[/C][C]13.7412[/C][C]-0.741227[/C][/ROW]
[ROW][C]141[/C][C]15[/C][C]15.1102[/C][C]-0.11025[/C][/ROW]
[ROW][C]142[/C][C]16[/C][C]13.4078[/C][C]2.5922[/C][/ROW]
[ROW][C]143[/C][C]14[/C][C]14.4057[/C][C]-0.405724[/C][/ROW]
[ROW][C]144[/C][C]15[/C][C]14.1655[/C][C]0.834549[/C][/ROW]
[ROW][C]145[/C][C]16[/C][C]14.1375[/C][C]1.8625[/C][/ROW]
[ROW][C]146[/C][C]16[/C][C]14.4589[/C][C]1.54108[/C][/ROW]
[ROW][C]147[/C][C]11[/C][C]13.6728[/C][C]-2.67282[/C][/ROW]
[ROW][C]148[/C][C]12[/C][C]14.6769[/C][C]-2.67687[/C][/ROW]
[ROW][C]149[/C][C]9[/C][C]11.2232[/C][C]-2.22319[/C][/ROW]
[ROW][C]150[/C][C]16[/C][C]13.8008[/C][C]2.19924[/C][/ROW]
[ROW][C]151[/C][C]13[/C][C]12.4305[/C][C]0.569523[/C][/ROW]
[ROW][C]152[/C][C]16[/C][C]15.5914[/C][C]0.408592[/C][/ROW]
[ROW][C]153[/C][C]12[/C][C]14.4295[/C][C]-2.42951[/C][/ROW]
[ROW][C]154[/C][C]9[/C][C]11.4146[/C][C]-2.41461[/C][/ROW]
[ROW][C]155[/C][C]13[/C][C]11.2315[/C][C]1.76851[/C][/ROW]
[ROW][C]156[/C][C]13[/C][C]13.2851[/C][C]-0.285055[/C][/ROW]
[ROW][C]157[/C][C]14[/C][C]13.2161[/C][C]0.783912[/C][/ROW]
[ROW][C]158[/C][C]19[/C][C]14.6412[/C][C]4.35881[/C][/ROW]
[ROW][C]159[/C][C]13[/C][C]15.5192[/C][C]-2.5192[/C][/ROW]
[ROW][C]160[/C][C]12[/C][C]11.5253[/C][C]0.474686[/C][/ROW]
[ROW][C]161[/C][C]13[/C][C]12.4453[/C][C]0.554739[/C][/ROW]
[ROW][C]162[/C][C]10[/C][C]9.02163[/C][C]0.978368[/C][/ROW]
[ROW][C]163[/C][C]14[/C][C]12.9521[/C][C]1.0479[/C][/ROW]
[ROW][C]164[/C][C]16[/C][C]11.3465[/C][C]4.65351[/C][/ROW]
[ROW][C]165[/C][C]10[/C][C]11.9143[/C][C]-1.91428[/C][/ROW]
[ROW][C]166[/C][C]11[/C][C]9.07223[/C][C]1.92777[/C][/ROW]
[ROW][C]167[/C][C]14[/C][C]14.0405[/C][C]-0.0404688[/C][/ROW]
[ROW][C]168[/C][C]12[/C][C]12.737[/C][C]-0.736967[/C][/ROW]
[ROW][C]169[/C][C]9[/C][C]12.4693[/C][C]-3.46933[/C][/ROW]
[ROW][C]170[/C][C]9[/C][C]11.8788[/C][C]-2.87882[/C][/ROW]
[ROW][C]171[/C][C]11[/C][C]10.7359[/C][C]0.2641[/C][/ROW]
[ROW][C]172[/C][C]16[/C][C]14.4233[/C][C]1.57669[/C][/ROW]
[ROW][C]173[/C][C]9[/C][C]14.0337[/C][C]-5.0337[/C][/ROW]
[ROW][C]174[/C][C]13[/C][C]11.3713[/C][C]1.62868[/C][/ROW]
[ROW][C]175[/C][C]16[/C][C]13.4628[/C][C]2.53719[/C][/ROW]
[ROW][C]176[/C][C]13[/C][C]15.4058[/C][C]-2.40583[/C][/ROW]
[ROW][C]177[/C][C]9[/C][C]12.3491[/C][C]-3.34905[/C][/ROW]
[ROW][C]178[/C][C]12[/C][C]11.3933[/C][C]0.606714[/C][/ROW]
[ROW][C]179[/C][C]16[/C][C]14.8288[/C][C]1.17119[/C][/ROW]
[ROW][C]180[/C][C]11[/C][C]13.2096[/C][C]-2.2096[/C][/ROW]
[ROW][C]181[/C][C]14[/C][C]14.8085[/C][C]-0.808546[/C][/ROW]
[ROW][C]182[/C][C]13[/C][C]14.9444[/C][C]-1.94436[/C][/ROW]
[ROW][C]183[/C][C]15[/C][C]15.0604[/C][C]-0.0603608[/C][/ROW]
[ROW][C]184[/C][C]14[/C][C]15.0797[/C][C]-1.0797[/C][/ROW]
[ROW][C]185[/C][C]16[/C][C]13.5522[/C][C]2.4478[/C][/ROW]
[ROW][C]186[/C][C]13[/C][C]11.5589[/C][C]1.44111[/C][/ROW]
[ROW][C]187[/C][C]14[/C][C]13.7064[/C][C]0.293605[/C][/ROW]
[ROW][C]188[/C][C]15[/C][C]13.9498[/C][C]1.05019[/C][/ROW]
[ROW][C]189[/C][C]13[/C][C]12.8088[/C][C]0.19118[/C][/ROW]
[ROW][C]190[/C][C]11[/C][C]10.1957[/C][C]0.804295[/C][/ROW]
[ROW][C]191[/C][C]11[/C][C]13.7151[/C][C]-2.71505[/C][/ROW]
[ROW][C]192[/C][C]14[/C][C]15.2897[/C][C]-1.2897[/C][/ROW]
[ROW][C]193[/C][C]15[/C][C]12.6569[/C][C]2.34305[/C][/ROW]
[ROW][C]194[/C][C]11[/C][C]12.8164[/C][C]-1.81636[/C][/ROW]
[ROW][C]195[/C][C]15[/C][C]13.1559[/C][C]1.84409[/C][/ROW]
[ROW][C]196[/C][C]12[/C][C]14.3395[/C][C]-2.33949[/C][/ROW]
[ROW][C]197[/C][C]14[/C][C]11.5345[/C][C]2.46554[/C][/ROW]
[ROW][C]198[/C][C]14[/C][C]13.1779[/C][C]0.822122[/C][/ROW]
[ROW][C]199[/C][C]8[/C][C]11.3132[/C][C]-3.3132[/C][/ROW]
[ROW][C]200[/C][C]13[/C][C]13.7871[/C][C]-0.787124[/C][/ROW]
[ROW][C]201[/C][C]9[/C][C]12.2455[/C][C]-3.24547[/C][/ROW]
[ROW][C]202[/C][C]15[/C][C]13.8971[/C][C]1.10288[/C][/ROW]
[ROW][C]203[/C][C]17[/C][C]14.144[/C][C]2.85602[/C][/ROW]
[ROW][C]204[/C][C]13[/C][C]13.0779[/C][C]-0.0779333[/C][/ROW]
[ROW][C]205[/C][C]15[/C][C]14.6171[/C][C]0.382875[/C][/ROW]
[ROW][C]206[/C][C]15[/C][C]13.8645[/C][C]1.13547[/C][/ROW]
[ROW][C]207[/C][C]14[/C][C]14.4054[/C][C]-0.405437[/C][/ROW]
[ROW][C]208[/C][C]16[/C][C]13.2016[/C][C]2.79841[/C][/ROW]
[ROW][C]209[/C][C]13[/C][C]13.012[/C][C]-0.0119881[/C][/ROW]
[ROW][C]210[/C][C]16[/C][C]14.2257[/C][C]1.77431[/C][/ROW]
[ROW][C]211[/C][C]9[/C][C]11.8982[/C][C]-2.89816[/C][/ROW]
[ROW][C]212[/C][C]16[/C][C]14.5393[/C][C]1.46072[/C][/ROW]
[ROW][C]213[/C][C]11[/C][C]11.8785[/C][C]-0.878534[/C][/ROW]
[ROW][C]214[/C][C]10[/C][C]13.7449[/C][C]-3.74489[/C][/ROW]
[ROW][C]215[/C][C]11[/C][C]12.395[/C][C]-1.39502[/C][/ROW]
[ROW][C]216[/C][C]15[/C][C]13.5112[/C][C]1.48883[/C][/ROW]
[ROW][C]217[/C][C]17[/C][C]14.8566[/C][C]2.14338[/C][/ROW]
[ROW][C]218[/C][C]14[/C][C]14.2134[/C][C]-0.213372[/C][/ROW]
[ROW][C]219[/C][C]8[/C][C]10.0854[/C][C]-2.08535[/C][/ROW]
[ROW][C]220[/C][C]15[/C][C]13.5391[/C][C]1.46089[/C][/ROW]
[ROW][C]221[/C][C]11[/C][C]14.0161[/C][C]-3.01611[/C][/ROW]
[ROW][C]222[/C][C]16[/C][C]14.2196[/C][C]1.78043[/C][/ROW]
[ROW][C]223[/C][C]10[/C][C]12.2094[/C][C]-2.20943[/C][/ROW]
[ROW][C]224[/C][C]15[/C][C]15.0107[/C][C]-0.0106613[/C][/ROW]
[ROW][C]225[/C][C]9[/C][C]10.4589[/C][C]-1.45891[/C][/ROW]
[ROW][C]226[/C][C]16[/C][C]14.2245[/C][C]1.77551[/C][/ROW]
[ROW][C]227[/C][C]19[/C][C]14.4436[/C][C]4.55642[/C][/ROW]
[ROW][C]228[/C][C]12[/C][C]14.1061[/C][C]-2.10613[/C][/ROW]
[ROW][C]229[/C][C]8[/C][C]9.40081[/C][C]-1.40081[/C][/ROW]
[ROW][C]230[/C][C]11[/C][C]13.5113[/C][C]-2.51131[/C][/ROW]
[ROW][C]231[/C][C]14[/C][C]13.9621[/C][C]0.0378676[/C][/ROW]
[ROW][C]232[/C][C]9[/C][C]12.1103[/C][C]-3.11027[/C][/ROW]
[ROW][C]233[/C][C]15[/C][C]15.5075[/C][C]-0.50752[/C][/ROW]
[ROW][C]234[/C][C]13[/C][C]12.7056[/C][C]0.294351[/C][/ROW]
[ROW][C]235[/C][C]16[/C][C]15.178[/C][C]0.821987[/C][/ROW]
[ROW][C]236[/C][C]11[/C][C]12.9879[/C][C]-1.98792[/C][/ROW]
[ROW][C]237[/C][C]12[/C][C]11.0058[/C][C]0.994153[/C][/ROW]
[ROW][C]238[/C][C]13[/C][C]13.5645[/C][C]-0.564506[/C][/ROW]
[ROW][C]239[/C][C]10[/C][C]14.6233[/C][C]-4.62325[/C][/ROW]
[ROW][C]240[/C][C]11[/C][C]13.6746[/C][C]-2.67457[/C][/ROW]
[ROW][C]241[/C][C]12[/C][C]14.5419[/C][C]-2.54189[/C][/ROW]
[ROW][C]242[/C][C]8[/C][C]11.1456[/C][C]-3.14556[/C][/ROW]
[ROW][C]243[/C][C]12[/C][C]11.9006[/C][C]0.099449[/C][/ROW]
[ROW][C]244[/C][C]12[/C][C]12.427[/C][C]-0.427031[/C][/ROW]
[ROW][C]245[/C][C]15[/C][C]13.4607[/C][C]1.53929[/C][/ROW]
[ROW][C]246[/C][C]11[/C][C]10.641[/C][C]0.358954[/C][/ROW]
[ROW][C]247[/C][C]13[/C][C]12.9085[/C][C]0.0915234[/C][/ROW]
[ROW][C]248[/C][C]14[/C][C]9.31079[/C][C]4.68921[/C][/ROW]
[ROW][C]249[/C][C]10[/C][C]10.2938[/C][C]-0.293815[/C][/ROW]
[ROW][C]250[/C][C]12[/C][C]11.9066[/C][C]0.0933906[/C][/ROW]
[ROW][C]251[/C][C]15[/C][C]12.9347[/C][C]2.06535[/C][/ROW]
[ROW][C]252[/C][C]13[/C][C]11.6408[/C][C]1.35921[/C][/ROW]
[ROW][C]253[/C][C]13[/C][C]14.3296[/C][C]-1.32956[/C][/ROW]
[ROW][C]254[/C][C]13[/C][C]13.9122[/C][C]-0.912244[/C][/ROW]
[ROW][C]255[/C][C]12[/C][C]11.9518[/C][C]0.0482195[/C][/ROW]
[ROW][C]256[/C][C]12[/C][C]12.9202[/C][C]-0.920155[/C][/ROW]
[ROW][C]257[/C][C]9[/C][C]10.83[/C][C]-1.83001[/C][/ROW]
[ROW][C]258[/C][C]9[/C][C]11.6627[/C][C]-2.66269[/C][/ROW]
[ROW][C]259[/C][C]15[/C][C]12.8721[/C][C]2.12792[/C][/ROW]
[ROW][C]260[/C][C]10[/C][C]14.5455[/C][C]-4.54553[/C][/ROW]
[ROW][C]261[/C][C]14[/C][C]14.0645[/C][C]-0.06447[/C][/ROW]
[ROW][C]262[/C][C]15[/C][C]13.831[/C][C]1.16905[/C][/ROW]
[ROW][C]263[/C][C]7[/C][C]9.94143[/C][C]-2.94143[/C][/ROW]
[ROW][C]264[/C][C]14[/C][C]14.0106[/C][C]-0.0105596[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226228&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226228&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
11414.1835-0.183531
21814.8143.18597
31113.8386-2.83864
41214.1721-2.17207
51610.58475.41533
61813.9684.03203
71410.77323.22679
81414.6591-0.659069
91514.96630.0336759
101513.94221.05778
111715.18141.81861
121915.97633.02371
131013.2432-3.24318
141613.69442.30557
151815.2782.72204
161413.39540.604594
171413.45490.545132
181715.32331.67672
191415.511-1.51097
201613.89442.10563
211815.29682.70315
221113.4672-2.46719
231414.8302-0.830154
241213.6707-1.67071
251714.92782.07224
26915.758-6.75805
271614.79651.20349
281413.06410.935851
291513.5271.47299
301113.7147-2.7147
311615.33980.660188
321312.55550.444456
331714.93612.06394
341514.78480.215167
351413.67860.321409
361615.21040.789617
37910.3654-1.36545
381514.14770.852286
391715.02051.97948
401315.1518-2.15184
411515.5728-0.572821
421613.31742.68257
431616.4429-0.44288
441213.3353-1.3353
451514.52060.479442
461113.4512-2.4512
471515.4475-0.447482
481514.61710.382875
491713.24353.75646
501314.5687-1.5687
511615.15840.841611
521413.24560.754428
531111.4651-0.465139
541213.6051-1.60506
551213.8928-1.89281
561513.19651.80352
571614.04361.95644
581515.4539-0.453897
591215.11-3.10996
601213.1775-1.17752
61810.5747-2.57468
621314.423-1.42295
631114.3635-3.36349
641413.28790.712127
651513.91811.08192
661014.9164-4.91644
671112.6403-1.64035
681214.4232-2.42317
691513.66091.33915
701513.61091.3891
711413.36740.632617
721612.92673.07329
731514.24180.758181
741515.5292-0.529196
751314.6645-1.66448
761211.72550.274473
771714.04392.95609
781312.3290.670998
791513.46971.53035
801315.5126-2.51265
811514.75490.245077
821515.5972-0.597247
831614.27931.72068
841514.2020.798019
851413.90020.0997913
861513.85841.1416
871414.3336-0.333584
881313.0462-0.0462065
89710.2351-3.23512
901713.46973.53028
911313.2851-0.285055
921514.05630.943694
931412.9381.06204
941313.6741-0.674126
951614.86221.13783
961212.828-0.828035
971414.7305-0.730497
981714.80242.19765
991514.90690.0931379
1001715.24161.75844
1011212.828-0.828035
1021614.87821.12177
1031114.527-3.52704
1041512.80472.19532
105911.3126-2.31256
1061614.9461.05401
1071512.94772.05233
1081013.2074-3.20743
109109.386450.613551
1101513.48541.51458
1111113.094-2.09399
1121314.911-1.91095
1131412.77071.22932
1141813.95024.04983
1151615.4030.596992
1161413.38380.616205
1171413.79890.20106
1181415.1962-1.19624
1191413.25520.744786
1201212.8367-0.836692
1211413.41910.580949
1221514.53920.460787
1231516.0423-1.0423
1241514.63460.365357
1251314.6831-1.68307
1261715.89211.10789
1271715.49861.50136
1281914.64124.35881
1291513.50511.49489
1301314.7009-1.70094
131910.3596-1.35961
1321515.2893-0.289348
1331512.53152.46853
1341514.22580.774237
1351613.34732.65273
136119.388641.61136
1371413.45520.544776
1381112.1343-1.13427
1391514.31170.688312
1401313.7412-0.741227
1411515.1102-0.11025
1421613.40782.5922
1431414.4057-0.405724
1441514.16550.834549
1451614.13751.8625
1461614.45891.54108
1471113.6728-2.67282
1481214.6769-2.67687
149911.2232-2.22319
1501613.80082.19924
1511312.43050.569523
1521615.59140.408592
1531214.4295-2.42951
154911.4146-2.41461
1551311.23151.76851
1561313.2851-0.285055
1571413.21610.783912
1581914.64124.35881
1591315.5192-2.5192
1601211.52530.474686
1611312.44530.554739
162109.021630.978368
1631412.95211.0479
1641611.34654.65351
1651011.9143-1.91428
166119.072231.92777
1671414.0405-0.0404688
1681212.737-0.736967
169912.4693-3.46933
170911.8788-2.87882
1711110.73590.2641
1721614.42331.57669
173914.0337-5.0337
1741311.37131.62868
1751613.46282.53719
1761315.4058-2.40583
177912.3491-3.34905
1781211.39330.606714
1791614.82881.17119
1801113.2096-2.2096
1811414.8085-0.808546
1821314.9444-1.94436
1831515.0604-0.0603608
1841415.0797-1.0797
1851613.55222.4478
1861311.55891.44111
1871413.70640.293605
1881513.94981.05019
1891312.80880.19118
1901110.19570.804295
1911113.7151-2.71505
1921415.2897-1.2897
1931512.65692.34305
1941112.8164-1.81636
1951513.15591.84409
1961214.3395-2.33949
1971411.53452.46554
1981413.17790.822122
199811.3132-3.3132
2001313.7871-0.787124
201912.2455-3.24547
2021513.89711.10288
2031714.1442.85602
2041313.0779-0.0779333
2051514.61710.382875
2061513.86451.13547
2071414.4054-0.405437
2081613.20162.79841
2091313.012-0.0119881
2101614.22571.77431
211911.8982-2.89816
2121614.53931.46072
2131111.8785-0.878534
2141013.7449-3.74489
2151112.395-1.39502
2161513.51121.48883
2171714.85662.14338
2181414.2134-0.213372
219810.0854-2.08535
2201513.53911.46089
2211114.0161-3.01611
2221614.21961.78043
2231012.2094-2.20943
2241515.0107-0.0106613
225910.4589-1.45891
2261614.22451.77551
2271914.44364.55642
2281214.1061-2.10613
22989.40081-1.40081
2301113.5113-2.51131
2311413.96210.0378676
232912.1103-3.11027
2331515.5075-0.50752
2341312.70560.294351
2351615.1780.821987
2361112.9879-1.98792
2371211.00580.994153
2381313.5645-0.564506
2391014.6233-4.62325
2401113.6746-2.67457
2411214.5419-2.54189
242811.1456-3.14556
2431211.90060.099449
2441212.427-0.427031
2451513.46071.53929
2461110.6410.358954
2471312.90850.0915234
248149.310794.68921
2491010.2938-0.293815
2501211.90660.0933906
2511512.93472.06535
2521311.64081.35921
2531314.3296-1.32956
2541313.9122-0.912244
2551211.95180.0482195
2561212.9202-0.920155
257910.83-1.83001
258911.6627-2.66269
2591512.87212.12792
2601014.5455-4.54553
2611414.0645-0.06447
2621513.8311.16905
26379.94143-2.94143
2641414.0106-0.0105596






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.7542020.4915950.245798
90.6131950.773610.386805
100.525140.949720.47486
110.4272370.8544740.572763
120.7237750.552450.276225
130.9298790.1402430.0701213
140.9241470.1517050.0758527
150.9689240.06215290.0310765
160.9525150.09496970.0474849
170.9378520.1242950.0621477
180.9265920.1468170.0734083
190.9195470.1609060.0804531
200.9013320.1973350.0986675
210.9042770.1914450.0957225
220.9397420.1205160.0602582
230.9235490.1529020.0764511
240.9196630.1606750.0803374
250.8978050.204390.102195
260.9970260.005948640.00297432
270.9957540.008491780.00424589
280.9936850.01263020.00631508
290.9910870.01782570.00891286
300.9953130.009374430.00468722
310.993210.01357940.00678972
320.9908930.01821450.00910723
330.9889950.02201040.0110052
340.984590.03081980.0154099
350.9795640.04087190.0204359
360.9724590.05508270.0275414
370.9786570.04268670.0213433
380.9716640.05667270.0283364
390.9688940.06221210.0311061
400.970790.05842040.0292102
410.9629690.07406190.037031
420.9627050.07459060.0372953
430.9520840.09583240.0479162
440.9498030.1003950.0501973
450.9366730.1266550.0633273
460.946450.1070990.0535495
470.9327230.1345540.0672769
480.9165530.1668950.0834474
490.940390.1192210.0596103
500.9352790.1294420.0647209
510.9215840.1568320.0784161
520.904590.1908210.0954103
530.891460.2170790.10854
540.8891810.2216380.110819
550.8831860.2336270.116814
560.873330.253340.12667
570.8650590.2698830.134941
580.8416460.3167080.158354
590.8688330.2623340.131167
600.8609060.2781880.139094
610.8894480.2211030.110552
620.880720.2385610.11928
630.9132140.1735720.0867859
640.8973290.2053420.102671
650.8814850.2370310.118515
660.9496420.1007160.050358
670.9485910.1028180.0514092
680.9527940.09441260.0472063
690.9457160.1085690.0542843
700.9384670.1230660.061533
710.9260610.1478780.073939
720.9378570.1242860.0621429
730.9261060.1477880.0738942
740.9126030.1747940.0873969
750.9044750.1910510.0955253
760.8870750.225850.112925
770.9010960.1978080.0989039
780.8843250.2313490.115675
790.8755390.2489220.124461
800.8775450.244910.122455
810.857160.2856790.14284
820.836150.3277010.16385
830.8285320.3429360.171468
840.8067160.3865690.193284
850.7796570.4406860.220343
860.7560930.4878140.243907
870.7263850.5472290.273615
880.6943350.6113290.305665
890.7637870.4724270.236213
900.806620.386760.19338
910.7804440.4391120.219556
920.7561310.4877380.243869
930.7357230.5285540.264277
940.7080140.5839720.291986
950.6843250.631350.315675
960.6592570.6814850.340743
970.6281780.7436440.371822
980.6335510.7328980.366449
990.5988210.8023570.401179
1000.5879490.8241020.412051
1010.5608380.8783240.439162
1020.5360080.9279850.463992
1030.596180.8076410.40382
1040.5941030.8117940.405897
1050.6113680.7772640.388632
1060.5853760.8292470.414624
1070.5788530.8422950.421147
1080.6371670.7256650.362833
1090.6104460.7791090.389554
1100.5941060.8117890.405894
1110.5969480.8061040.403052
1120.6037840.7924320.396216
1130.5806750.838650.419325
1140.6734440.6531130.326556
1150.6450490.7099030.354951
1160.6163480.7673030.383652
1170.5855660.8288670.414434
1180.5650280.8699440.434972
1190.5343030.9313950.465697
1200.5086820.9826360.491318
1210.4791820.9583640.520818
1220.4473070.8946140.552693
1230.4225840.8451680.577416
1240.3893610.7787210.610639
1250.3769650.7539310.623035
1260.3535320.7070640.646468
1270.339170.6783410.66083
1280.4671740.9343490.532826
1290.4499940.8999870.550006
1300.4371570.8743140.562843
1310.4208010.8416030.579199
1320.3888610.7777220.611139
1330.4060670.8121330.593933
1340.3792710.7585410.620729
1350.4068950.8137890.593105
1360.3923610.7847210.607639
1370.3620250.7240510.637975
1380.3431690.6863370.656831
1390.3152560.6305130.684744
1400.2898640.5797290.710136
1410.2602650.5205310.739735
1420.2831160.5662320.716884
1430.2544830.5089660.745517
1440.2329770.4659530.767023
1450.2271980.4543970.772802
1460.2192750.4385490.780725
1470.239470.4789410.76053
1480.2563540.5127070.743646
1490.2647850.529570.735215
1500.2751490.5502990.724851
1510.2511170.5022330.748883
1520.2272780.4545560.772722
1530.234010.468020.76599
1540.2459220.4918430.754078
1550.2373250.474650.762675
1560.2106740.4213490.789326
1570.1914730.3829470.808527
1580.3072450.614490.692755
1590.3195990.6391980.680401
1600.2941950.588390.705805
1610.2689850.537970.731015
1620.2434910.4869820.756509
1630.2207460.4414920.779254
1640.3601810.7203620.639819
1650.3515480.7030960.648452
1660.3467910.6935830.653209
1670.3138210.6276410.686179
1680.2881680.5763350.711832
1690.340650.68130.65935
1700.3663130.7326250.633687
1710.334930.6698590.66507
1720.3301550.660310.669845
1730.5000870.9998270.499913
1740.4838030.9676050.516197
1750.509270.981460.49073
1760.5200220.9599550.479978
1770.5753070.8493860.424693
1780.5429370.9141260.457063
1790.5191540.9616920.480846
1800.5197860.9604280.480214
1810.4852980.9705970.514702
1820.4806880.9613760.519312
1830.442340.884680.55766
1840.4133110.8266230.586689
1850.4331380.8662760.566862
1860.4239390.8478770.576061
1870.3875320.7750650.612468
1880.3599110.7198210.640089
1890.3251950.650390.674805
1900.3050840.6101680.694916
1910.3227630.6455270.677237
1920.3003890.6007790.699611
1930.3216020.6432050.678398
1940.3082060.6164130.691794
1950.3081420.6162850.691858
1960.3180530.6361070.681947
1970.3513030.7026070.648697
1980.3235870.6471740.676413
1990.3635850.727170.636415
2000.3282250.6564510.671775
2010.3712950.7425910.628705
2020.3488410.6976820.651159
2030.3960350.7920690.603965
2040.3564180.7128370.643582
2050.3192380.6384760.680762
2060.2961560.5923110.703844
2070.260470.5209410.73953
2080.3024380.6048760.697562
2090.2665690.5331380.733431
2100.2654810.5309620.734519
2110.2848270.5696540.715173
2120.2781150.5562290.721885
2130.2432040.4864080.756796
2140.3112770.6225540.688723
2150.2831330.5662650.716867
2160.2697280.5394560.730272
2170.2856180.5712350.714382
2180.2473420.4946830.752658
2190.2375270.4750540.762473
2200.2336490.4672980.766351
2210.255140.510280.74486
2220.2640720.5281450.735928
2230.2561180.5122350.743882
2240.2207750.4415490.779225
2250.1954220.3908430.804578
2260.2256810.4513620.774319
2270.5076240.9847520.492376
2280.4739450.947890.526055
2290.453120.906240.54688
2300.4348880.8697760.565112
2310.3868760.7737520.613124
2320.413950.82790.58605
2330.3679390.7358790.632061
2340.3177380.6354760.682262
2350.3288280.6576550.671172
2360.2979490.5958980.702051
2370.2588340.5176680.741166
2380.2130470.4260940.786953
2390.3305410.6610830.669459
2400.3166750.6333490.683325
2410.3011990.6023990.698801
2420.3848770.7697540.615123
2430.3192840.6385680.680716
2440.2581840.5163690.741816
2450.2588030.5176050.741197
2460.2087720.4175450.791228
2470.1561030.3122060.843897
2480.5220480.9559040.477952
2490.4320480.8640960.567952
2500.3772620.7545240.622738
2510.3985190.7970390.601481
2520.6875330.6249330.312467
2530.6968810.6062390.303119
2540.8771430.2457140.122857
2550.8359290.3281410.164071
2560.8400240.3199530.159976

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
8 & 0.754202 & 0.491595 & 0.245798 \tabularnewline
9 & 0.613195 & 0.77361 & 0.386805 \tabularnewline
10 & 0.52514 & 0.94972 & 0.47486 \tabularnewline
11 & 0.427237 & 0.854474 & 0.572763 \tabularnewline
12 & 0.723775 & 0.55245 & 0.276225 \tabularnewline
13 & 0.929879 & 0.140243 & 0.0701213 \tabularnewline
14 & 0.924147 & 0.151705 & 0.0758527 \tabularnewline
15 & 0.968924 & 0.0621529 & 0.0310765 \tabularnewline
16 & 0.952515 & 0.0949697 & 0.0474849 \tabularnewline
17 & 0.937852 & 0.124295 & 0.0621477 \tabularnewline
18 & 0.926592 & 0.146817 & 0.0734083 \tabularnewline
19 & 0.919547 & 0.160906 & 0.0804531 \tabularnewline
20 & 0.901332 & 0.197335 & 0.0986675 \tabularnewline
21 & 0.904277 & 0.191445 & 0.0957225 \tabularnewline
22 & 0.939742 & 0.120516 & 0.0602582 \tabularnewline
23 & 0.923549 & 0.152902 & 0.0764511 \tabularnewline
24 & 0.919663 & 0.160675 & 0.0803374 \tabularnewline
25 & 0.897805 & 0.20439 & 0.102195 \tabularnewline
26 & 0.997026 & 0.00594864 & 0.00297432 \tabularnewline
27 & 0.995754 & 0.00849178 & 0.00424589 \tabularnewline
28 & 0.993685 & 0.0126302 & 0.00631508 \tabularnewline
29 & 0.991087 & 0.0178257 & 0.00891286 \tabularnewline
30 & 0.995313 & 0.00937443 & 0.00468722 \tabularnewline
31 & 0.99321 & 0.0135794 & 0.00678972 \tabularnewline
32 & 0.990893 & 0.0182145 & 0.00910723 \tabularnewline
33 & 0.988995 & 0.0220104 & 0.0110052 \tabularnewline
34 & 0.98459 & 0.0308198 & 0.0154099 \tabularnewline
35 & 0.979564 & 0.0408719 & 0.0204359 \tabularnewline
36 & 0.972459 & 0.0550827 & 0.0275414 \tabularnewline
37 & 0.978657 & 0.0426867 & 0.0213433 \tabularnewline
38 & 0.971664 & 0.0566727 & 0.0283364 \tabularnewline
39 & 0.968894 & 0.0622121 & 0.0311061 \tabularnewline
40 & 0.97079 & 0.0584204 & 0.0292102 \tabularnewline
41 & 0.962969 & 0.0740619 & 0.037031 \tabularnewline
42 & 0.962705 & 0.0745906 & 0.0372953 \tabularnewline
43 & 0.952084 & 0.0958324 & 0.0479162 \tabularnewline
44 & 0.949803 & 0.100395 & 0.0501973 \tabularnewline
45 & 0.936673 & 0.126655 & 0.0633273 \tabularnewline
46 & 0.94645 & 0.107099 & 0.0535495 \tabularnewline
47 & 0.932723 & 0.134554 & 0.0672769 \tabularnewline
48 & 0.916553 & 0.166895 & 0.0834474 \tabularnewline
49 & 0.94039 & 0.119221 & 0.0596103 \tabularnewline
50 & 0.935279 & 0.129442 & 0.0647209 \tabularnewline
51 & 0.921584 & 0.156832 & 0.0784161 \tabularnewline
52 & 0.90459 & 0.190821 & 0.0954103 \tabularnewline
53 & 0.89146 & 0.217079 & 0.10854 \tabularnewline
54 & 0.889181 & 0.221638 & 0.110819 \tabularnewline
55 & 0.883186 & 0.233627 & 0.116814 \tabularnewline
56 & 0.87333 & 0.25334 & 0.12667 \tabularnewline
57 & 0.865059 & 0.269883 & 0.134941 \tabularnewline
58 & 0.841646 & 0.316708 & 0.158354 \tabularnewline
59 & 0.868833 & 0.262334 & 0.131167 \tabularnewline
60 & 0.860906 & 0.278188 & 0.139094 \tabularnewline
61 & 0.889448 & 0.221103 & 0.110552 \tabularnewline
62 & 0.88072 & 0.238561 & 0.11928 \tabularnewline
63 & 0.913214 & 0.173572 & 0.0867859 \tabularnewline
64 & 0.897329 & 0.205342 & 0.102671 \tabularnewline
65 & 0.881485 & 0.237031 & 0.118515 \tabularnewline
66 & 0.949642 & 0.100716 & 0.050358 \tabularnewline
67 & 0.948591 & 0.102818 & 0.0514092 \tabularnewline
68 & 0.952794 & 0.0944126 & 0.0472063 \tabularnewline
69 & 0.945716 & 0.108569 & 0.0542843 \tabularnewline
70 & 0.938467 & 0.123066 & 0.061533 \tabularnewline
71 & 0.926061 & 0.147878 & 0.073939 \tabularnewline
72 & 0.937857 & 0.124286 & 0.0621429 \tabularnewline
73 & 0.926106 & 0.147788 & 0.0738942 \tabularnewline
74 & 0.912603 & 0.174794 & 0.0873969 \tabularnewline
75 & 0.904475 & 0.191051 & 0.0955253 \tabularnewline
76 & 0.887075 & 0.22585 & 0.112925 \tabularnewline
77 & 0.901096 & 0.197808 & 0.0989039 \tabularnewline
78 & 0.884325 & 0.231349 & 0.115675 \tabularnewline
79 & 0.875539 & 0.248922 & 0.124461 \tabularnewline
80 & 0.877545 & 0.24491 & 0.122455 \tabularnewline
81 & 0.85716 & 0.285679 & 0.14284 \tabularnewline
82 & 0.83615 & 0.327701 & 0.16385 \tabularnewline
83 & 0.828532 & 0.342936 & 0.171468 \tabularnewline
84 & 0.806716 & 0.386569 & 0.193284 \tabularnewline
85 & 0.779657 & 0.440686 & 0.220343 \tabularnewline
86 & 0.756093 & 0.487814 & 0.243907 \tabularnewline
87 & 0.726385 & 0.547229 & 0.273615 \tabularnewline
88 & 0.694335 & 0.611329 & 0.305665 \tabularnewline
89 & 0.763787 & 0.472427 & 0.236213 \tabularnewline
90 & 0.80662 & 0.38676 & 0.19338 \tabularnewline
91 & 0.780444 & 0.439112 & 0.219556 \tabularnewline
92 & 0.756131 & 0.487738 & 0.243869 \tabularnewline
93 & 0.735723 & 0.528554 & 0.264277 \tabularnewline
94 & 0.708014 & 0.583972 & 0.291986 \tabularnewline
95 & 0.684325 & 0.63135 & 0.315675 \tabularnewline
96 & 0.659257 & 0.681485 & 0.340743 \tabularnewline
97 & 0.628178 & 0.743644 & 0.371822 \tabularnewline
98 & 0.633551 & 0.732898 & 0.366449 \tabularnewline
99 & 0.598821 & 0.802357 & 0.401179 \tabularnewline
100 & 0.587949 & 0.824102 & 0.412051 \tabularnewline
101 & 0.560838 & 0.878324 & 0.439162 \tabularnewline
102 & 0.536008 & 0.927985 & 0.463992 \tabularnewline
103 & 0.59618 & 0.807641 & 0.40382 \tabularnewline
104 & 0.594103 & 0.811794 & 0.405897 \tabularnewline
105 & 0.611368 & 0.777264 & 0.388632 \tabularnewline
106 & 0.585376 & 0.829247 & 0.414624 \tabularnewline
107 & 0.578853 & 0.842295 & 0.421147 \tabularnewline
108 & 0.637167 & 0.725665 & 0.362833 \tabularnewline
109 & 0.610446 & 0.779109 & 0.389554 \tabularnewline
110 & 0.594106 & 0.811789 & 0.405894 \tabularnewline
111 & 0.596948 & 0.806104 & 0.403052 \tabularnewline
112 & 0.603784 & 0.792432 & 0.396216 \tabularnewline
113 & 0.580675 & 0.83865 & 0.419325 \tabularnewline
114 & 0.673444 & 0.653113 & 0.326556 \tabularnewline
115 & 0.645049 & 0.709903 & 0.354951 \tabularnewline
116 & 0.616348 & 0.767303 & 0.383652 \tabularnewline
117 & 0.585566 & 0.828867 & 0.414434 \tabularnewline
118 & 0.565028 & 0.869944 & 0.434972 \tabularnewline
119 & 0.534303 & 0.931395 & 0.465697 \tabularnewline
120 & 0.508682 & 0.982636 & 0.491318 \tabularnewline
121 & 0.479182 & 0.958364 & 0.520818 \tabularnewline
122 & 0.447307 & 0.894614 & 0.552693 \tabularnewline
123 & 0.422584 & 0.845168 & 0.577416 \tabularnewline
124 & 0.389361 & 0.778721 & 0.610639 \tabularnewline
125 & 0.376965 & 0.753931 & 0.623035 \tabularnewline
126 & 0.353532 & 0.707064 & 0.646468 \tabularnewline
127 & 0.33917 & 0.678341 & 0.66083 \tabularnewline
128 & 0.467174 & 0.934349 & 0.532826 \tabularnewline
129 & 0.449994 & 0.899987 & 0.550006 \tabularnewline
130 & 0.437157 & 0.874314 & 0.562843 \tabularnewline
131 & 0.420801 & 0.841603 & 0.579199 \tabularnewline
132 & 0.388861 & 0.777722 & 0.611139 \tabularnewline
133 & 0.406067 & 0.812133 & 0.593933 \tabularnewline
134 & 0.379271 & 0.758541 & 0.620729 \tabularnewline
135 & 0.406895 & 0.813789 & 0.593105 \tabularnewline
136 & 0.392361 & 0.784721 & 0.607639 \tabularnewline
137 & 0.362025 & 0.724051 & 0.637975 \tabularnewline
138 & 0.343169 & 0.686337 & 0.656831 \tabularnewline
139 & 0.315256 & 0.630513 & 0.684744 \tabularnewline
140 & 0.289864 & 0.579729 & 0.710136 \tabularnewline
141 & 0.260265 & 0.520531 & 0.739735 \tabularnewline
142 & 0.283116 & 0.566232 & 0.716884 \tabularnewline
143 & 0.254483 & 0.508966 & 0.745517 \tabularnewline
144 & 0.232977 & 0.465953 & 0.767023 \tabularnewline
145 & 0.227198 & 0.454397 & 0.772802 \tabularnewline
146 & 0.219275 & 0.438549 & 0.780725 \tabularnewline
147 & 0.23947 & 0.478941 & 0.76053 \tabularnewline
148 & 0.256354 & 0.512707 & 0.743646 \tabularnewline
149 & 0.264785 & 0.52957 & 0.735215 \tabularnewline
150 & 0.275149 & 0.550299 & 0.724851 \tabularnewline
151 & 0.251117 & 0.502233 & 0.748883 \tabularnewline
152 & 0.227278 & 0.454556 & 0.772722 \tabularnewline
153 & 0.23401 & 0.46802 & 0.76599 \tabularnewline
154 & 0.245922 & 0.491843 & 0.754078 \tabularnewline
155 & 0.237325 & 0.47465 & 0.762675 \tabularnewline
156 & 0.210674 & 0.421349 & 0.789326 \tabularnewline
157 & 0.191473 & 0.382947 & 0.808527 \tabularnewline
158 & 0.307245 & 0.61449 & 0.692755 \tabularnewline
159 & 0.319599 & 0.639198 & 0.680401 \tabularnewline
160 & 0.294195 & 0.58839 & 0.705805 \tabularnewline
161 & 0.268985 & 0.53797 & 0.731015 \tabularnewline
162 & 0.243491 & 0.486982 & 0.756509 \tabularnewline
163 & 0.220746 & 0.441492 & 0.779254 \tabularnewline
164 & 0.360181 & 0.720362 & 0.639819 \tabularnewline
165 & 0.351548 & 0.703096 & 0.648452 \tabularnewline
166 & 0.346791 & 0.693583 & 0.653209 \tabularnewline
167 & 0.313821 & 0.627641 & 0.686179 \tabularnewline
168 & 0.288168 & 0.576335 & 0.711832 \tabularnewline
169 & 0.34065 & 0.6813 & 0.65935 \tabularnewline
170 & 0.366313 & 0.732625 & 0.633687 \tabularnewline
171 & 0.33493 & 0.669859 & 0.66507 \tabularnewline
172 & 0.330155 & 0.66031 & 0.669845 \tabularnewline
173 & 0.500087 & 0.999827 & 0.499913 \tabularnewline
174 & 0.483803 & 0.967605 & 0.516197 \tabularnewline
175 & 0.50927 & 0.98146 & 0.49073 \tabularnewline
176 & 0.520022 & 0.959955 & 0.479978 \tabularnewline
177 & 0.575307 & 0.849386 & 0.424693 \tabularnewline
178 & 0.542937 & 0.914126 & 0.457063 \tabularnewline
179 & 0.519154 & 0.961692 & 0.480846 \tabularnewline
180 & 0.519786 & 0.960428 & 0.480214 \tabularnewline
181 & 0.485298 & 0.970597 & 0.514702 \tabularnewline
182 & 0.480688 & 0.961376 & 0.519312 \tabularnewline
183 & 0.44234 & 0.88468 & 0.55766 \tabularnewline
184 & 0.413311 & 0.826623 & 0.586689 \tabularnewline
185 & 0.433138 & 0.866276 & 0.566862 \tabularnewline
186 & 0.423939 & 0.847877 & 0.576061 \tabularnewline
187 & 0.387532 & 0.775065 & 0.612468 \tabularnewline
188 & 0.359911 & 0.719821 & 0.640089 \tabularnewline
189 & 0.325195 & 0.65039 & 0.674805 \tabularnewline
190 & 0.305084 & 0.610168 & 0.694916 \tabularnewline
191 & 0.322763 & 0.645527 & 0.677237 \tabularnewline
192 & 0.300389 & 0.600779 & 0.699611 \tabularnewline
193 & 0.321602 & 0.643205 & 0.678398 \tabularnewline
194 & 0.308206 & 0.616413 & 0.691794 \tabularnewline
195 & 0.308142 & 0.616285 & 0.691858 \tabularnewline
196 & 0.318053 & 0.636107 & 0.681947 \tabularnewline
197 & 0.351303 & 0.702607 & 0.648697 \tabularnewline
198 & 0.323587 & 0.647174 & 0.676413 \tabularnewline
199 & 0.363585 & 0.72717 & 0.636415 \tabularnewline
200 & 0.328225 & 0.656451 & 0.671775 \tabularnewline
201 & 0.371295 & 0.742591 & 0.628705 \tabularnewline
202 & 0.348841 & 0.697682 & 0.651159 \tabularnewline
203 & 0.396035 & 0.792069 & 0.603965 \tabularnewline
204 & 0.356418 & 0.712837 & 0.643582 \tabularnewline
205 & 0.319238 & 0.638476 & 0.680762 \tabularnewline
206 & 0.296156 & 0.592311 & 0.703844 \tabularnewline
207 & 0.26047 & 0.520941 & 0.73953 \tabularnewline
208 & 0.302438 & 0.604876 & 0.697562 \tabularnewline
209 & 0.266569 & 0.533138 & 0.733431 \tabularnewline
210 & 0.265481 & 0.530962 & 0.734519 \tabularnewline
211 & 0.284827 & 0.569654 & 0.715173 \tabularnewline
212 & 0.278115 & 0.556229 & 0.721885 \tabularnewline
213 & 0.243204 & 0.486408 & 0.756796 \tabularnewline
214 & 0.311277 & 0.622554 & 0.688723 \tabularnewline
215 & 0.283133 & 0.566265 & 0.716867 \tabularnewline
216 & 0.269728 & 0.539456 & 0.730272 \tabularnewline
217 & 0.285618 & 0.571235 & 0.714382 \tabularnewline
218 & 0.247342 & 0.494683 & 0.752658 \tabularnewline
219 & 0.237527 & 0.475054 & 0.762473 \tabularnewline
220 & 0.233649 & 0.467298 & 0.766351 \tabularnewline
221 & 0.25514 & 0.51028 & 0.74486 \tabularnewline
222 & 0.264072 & 0.528145 & 0.735928 \tabularnewline
223 & 0.256118 & 0.512235 & 0.743882 \tabularnewline
224 & 0.220775 & 0.441549 & 0.779225 \tabularnewline
225 & 0.195422 & 0.390843 & 0.804578 \tabularnewline
226 & 0.225681 & 0.451362 & 0.774319 \tabularnewline
227 & 0.507624 & 0.984752 & 0.492376 \tabularnewline
228 & 0.473945 & 0.94789 & 0.526055 \tabularnewline
229 & 0.45312 & 0.90624 & 0.54688 \tabularnewline
230 & 0.434888 & 0.869776 & 0.565112 \tabularnewline
231 & 0.386876 & 0.773752 & 0.613124 \tabularnewline
232 & 0.41395 & 0.8279 & 0.58605 \tabularnewline
233 & 0.367939 & 0.735879 & 0.632061 \tabularnewline
234 & 0.317738 & 0.635476 & 0.682262 \tabularnewline
235 & 0.328828 & 0.657655 & 0.671172 \tabularnewline
236 & 0.297949 & 0.595898 & 0.702051 \tabularnewline
237 & 0.258834 & 0.517668 & 0.741166 \tabularnewline
238 & 0.213047 & 0.426094 & 0.786953 \tabularnewline
239 & 0.330541 & 0.661083 & 0.669459 \tabularnewline
240 & 0.316675 & 0.633349 & 0.683325 \tabularnewline
241 & 0.301199 & 0.602399 & 0.698801 \tabularnewline
242 & 0.384877 & 0.769754 & 0.615123 \tabularnewline
243 & 0.319284 & 0.638568 & 0.680716 \tabularnewline
244 & 0.258184 & 0.516369 & 0.741816 \tabularnewline
245 & 0.258803 & 0.517605 & 0.741197 \tabularnewline
246 & 0.208772 & 0.417545 & 0.791228 \tabularnewline
247 & 0.156103 & 0.312206 & 0.843897 \tabularnewline
248 & 0.522048 & 0.955904 & 0.477952 \tabularnewline
249 & 0.432048 & 0.864096 & 0.567952 \tabularnewline
250 & 0.377262 & 0.754524 & 0.622738 \tabularnewline
251 & 0.398519 & 0.797039 & 0.601481 \tabularnewline
252 & 0.687533 & 0.624933 & 0.312467 \tabularnewline
253 & 0.696881 & 0.606239 & 0.303119 \tabularnewline
254 & 0.877143 & 0.245714 & 0.122857 \tabularnewline
255 & 0.835929 & 0.328141 & 0.164071 \tabularnewline
256 & 0.840024 & 0.319953 & 0.159976 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226228&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]8[/C][C]0.754202[/C][C]0.491595[/C][C]0.245798[/C][/ROW]
[ROW][C]9[/C][C]0.613195[/C][C]0.77361[/C][C]0.386805[/C][/ROW]
[ROW][C]10[/C][C]0.52514[/C][C]0.94972[/C][C]0.47486[/C][/ROW]
[ROW][C]11[/C][C]0.427237[/C][C]0.854474[/C][C]0.572763[/C][/ROW]
[ROW][C]12[/C][C]0.723775[/C][C]0.55245[/C][C]0.276225[/C][/ROW]
[ROW][C]13[/C][C]0.929879[/C][C]0.140243[/C][C]0.0701213[/C][/ROW]
[ROW][C]14[/C][C]0.924147[/C][C]0.151705[/C][C]0.0758527[/C][/ROW]
[ROW][C]15[/C][C]0.968924[/C][C]0.0621529[/C][C]0.0310765[/C][/ROW]
[ROW][C]16[/C][C]0.952515[/C][C]0.0949697[/C][C]0.0474849[/C][/ROW]
[ROW][C]17[/C][C]0.937852[/C][C]0.124295[/C][C]0.0621477[/C][/ROW]
[ROW][C]18[/C][C]0.926592[/C][C]0.146817[/C][C]0.0734083[/C][/ROW]
[ROW][C]19[/C][C]0.919547[/C][C]0.160906[/C][C]0.0804531[/C][/ROW]
[ROW][C]20[/C][C]0.901332[/C][C]0.197335[/C][C]0.0986675[/C][/ROW]
[ROW][C]21[/C][C]0.904277[/C][C]0.191445[/C][C]0.0957225[/C][/ROW]
[ROW][C]22[/C][C]0.939742[/C][C]0.120516[/C][C]0.0602582[/C][/ROW]
[ROW][C]23[/C][C]0.923549[/C][C]0.152902[/C][C]0.0764511[/C][/ROW]
[ROW][C]24[/C][C]0.919663[/C][C]0.160675[/C][C]0.0803374[/C][/ROW]
[ROW][C]25[/C][C]0.897805[/C][C]0.20439[/C][C]0.102195[/C][/ROW]
[ROW][C]26[/C][C]0.997026[/C][C]0.00594864[/C][C]0.00297432[/C][/ROW]
[ROW][C]27[/C][C]0.995754[/C][C]0.00849178[/C][C]0.00424589[/C][/ROW]
[ROW][C]28[/C][C]0.993685[/C][C]0.0126302[/C][C]0.00631508[/C][/ROW]
[ROW][C]29[/C][C]0.991087[/C][C]0.0178257[/C][C]0.00891286[/C][/ROW]
[ROW][C]30[/C][C]0.995313[/C][C]0.00937443[/C][C]0.00468722[/C][/ROW]
[ROW][C]31[/C][C]0.99321[/C][C]0.0135794[/C][C]0.00678972[/C][/ROW]
[ROW][C]32[/C][C]0.990893[/C][C]0.0182145[/C][C]0.00910723[/C][/ROW]
[ROW][C]33[/C][C]0.988995[/C][C]0.0220104[/C][C]0.0110052[/C][/ROW]
[ROW][C]34[/C][C]0.98459[/C][C]0.0308198[/C][C]0.0154099[/C][/ROW]
[ROW][C]35[/C][C]0.979564[/C][C]0.0408719[/C][C]0.0204359[/C][/ROW]
[ROW][C]36[/C][C]0.972459[/C][C]0.0550827[/C][C]0.0275414[/C][/ROW]
[ROW][C]37[/C][C]0.978657[/C][C]0.0426867[/C][C]0.0213433[/C][/ROW]
[ROW][C]38[/C][C]0.971664[/C][C]0.0566727[/C][C]0.0283364[/C][/ROW]
[ROW][C]39[/C][C]0.968894[/C][C]0.0622121[/C][C]0.0311061[/C][/ROW]
[ROW][C]40[/C][C]0.97079[/C][C]0.0584204[/C][C]0.0292102[/C][/ROW]
[ROW][C]41[/C][C]0.962969[/C][C]0.0740619[/C][C]0.037031[/C][/ROW]
[ROW][C]42[/C][C]0.962705[/C][C]0.0745906[/C][C]0.0372953[/C][/ROW]
[ROW][C]43[/C][C]0.952084[/C][C]0.0958324[/C][C]0.0479162[/C][/ROW]
[ROW][C]44[/C][C]0.949803[/C][C]0.100395[/C][C]0.0501973[/C][/ROW]
[ROW][C]45[/C][C]0.936673[/C][C]0.126655[/C][C]0.0633273[/C][/ROW]
[ROW][C]46[/C][C]0.94645[/C][C]0.107099[/C][C]0.0535495[/C][/ROW]
[ROW][C]47[/C][C]0.932723[/C][C]0.134554[/C][C]0.0672769[/C][/ROW]
[ROW][C]48[/C][C]0.916553[/C][C]0.166895[/C][C]0.0834474[/C][/ROW]
[ROW][C]49[/C][C]0.94039[/C][C]0.119221[/C][C]0.0596103[/C][/ROW]
[ROW][C]50[/C][C]0.935279[/C][C]0.129442[/C][C]0.0647209[/C][/ROW]
[ROW][C]51[/C][C]0.921584[/C][C]0.156832[/C][C]0.0784161[/C][/ROW]
[ROW][C]52[/C][C]0.90459[/C][C]0.190821[/C][C]0.0954103[/C][/ROW]
[ROW][C]53[/C][C]0.89146[/C][C]0.217079[/C][C]0.10854[/C][/ROW]
[ROW][C]54[/C][C]0.889181[/C][C]0.221638[/C][C]0.110819[/C][/ROW]
[ROW][C]55[/C][C]0.883186[/C][C]0.233627[/C][C]0.116814[/C][/ROW]
[ROW][C]56[/C][C]0.87333[/C][C]0.25334[/C][C]0.12667[/C][/ROW]
[ROW][C]57[/C][C]0.865059[/C][C]0.269883[/C][C]0.134941[/C][/ROW]
[ROW][C]58[/C][C]0.841646[/C][C]0.316708[/C][C]0.158354[/C][/ROW]
[ROW][C]59[/C][C]0.868833[/C][C]0.262334[/C][C]0.131167[/C][/ROW]
[ROW][C]60[/C][C]0.860906[/C][C]0.278188[/C][C]0.139094[/C][/ROW]
[ROW][C]61[/C][C]0.889448[/C][C]0.221103[/C][C]0.110552[/C][/ROW]
[ROW][C]62[/C][C]0.88072[/C][C]0.238561[/C][C]0.11928[/C][/ROW]
[ROW][C]63[/C][C]0.913214[/C][C]0.173572[/C][C]0.0867859[/C][/ROW]
[ROW][C]64[/C][C]0.897329[/C][C]0.205342[/C][C]0.102671[/C][/ROW]
[ROW][C]65[/C][C]0.881485[/C][C]0.237031[/C][C]0.118515[/C][/ROW]
[ROW][C]66[/C][C]0.949642[/C][C]0.100716[/C][C]0.050358[/C][/ROW]
[ROW][C]67[/C][C]0.948591[/C][C]0.102818[/C][C]0.0514092[/C][/ROW]
[ROW][C]68[/C][C]0.952794[/C][C]0.0944126[/C][C]0.0472063[/C][/ROW]
[ROW][C]69[/C][C]0.945716[/C][C]0.108569[/C][C]0.0542843[/C][/ROW]
[ROW][C]70[/C][C]0.938467[/C][C]0.123066[/C][C]0.061533[/C][/ROW]
[ROW][C]71[/C][C]0.926061[/C][C]0.147878[/C][C]0.073939[/C][/ROW]
[ROW][C]72[/C][C]0.937857[/C][C]0.124286[/C][C]0.0621429[/C][/ROW]
[ROW][C]73[/C][C]0.926106[/C][C]0.147788[/C][C]0.0738942[/C][/ROW]
[ROW][C]74[/C][C]0.912603[/C][C]0.174794[/C][C]0.0873969[/C][/ROW]
[ROW][C]75[/C][C]0.904475[/C][C]0.191051[/C][C]0.0955253[/C][/ROW]
[ROW][C]76[/C][C]0.887075[/C][C]0.22585[/C][C]0.112925[/C][/ROW]
[ROW][C]77[/C][C]0.901096[/C][C]0.197808[/C][C]0.0989039[/C][/ROW]
[ROW][C]78[/C][C]0.884325[/C][C]0.231349[/C][C]0.115675[/C][/ROW]
[ROW][C]79[/C][C]0.875539[/C][C]0.248922[/C][C]0.124461[/C][/ROW]
[ROW][C]80[/C][C]0.877545[/C][C]0.24491[/C][C]0.122455[/C][/ROW]
[ROW][C]81[/C][C]0.85716[/C][C]0.285679[/C][C]0.14284[/C][/ROW]
[ROW][C]82[/C][C]0.83615[/C][C]0.327701[/C][C]0.16385[/C][/ROW]
[ROW][C]83[/C][C]0.828532[/C][C]0.342936[/C][C]0.171468[/C][/ROW]
[ROW][C]84[/C][C]0.806716[/C][C]0.386569[/C][C]0.193284[/C][/ROW]
[ROW][C]85[/C][C]0.779657[/C][C]0.440686[/C][C]0.220343[/C][/ROW]
[ROW][C]86[/C][C]0.756093[/C][C]0.487814[/C][C]0.243907[/C][/ROW]
[ROW][C]87[/C][C]0.726385[/C][C]0.547229[/C][C]0.273615[/C][/ROW]
[ROW][C]88[/C][C]0.694335[/C][C]0.611329[/C][C]0.305665[/C][/ROW]
[ROW][C]89[/C][C]0.763787[/C][C]0.472427[/C][C]0.236213[/C][/ROW]
[ROW][C]90[/C][C]0.80662[/C][C]0.38676[/C][C]0.19338[/C][/ROW]
[ROW][C]91[/C][C]0.780444[/C][C]0.439112[/C][C]0.219556[/C][/ROW]
[ROW][C]92[/C][C]0.756131[/C][C]0.487738[/C][C]0.243869[/C][/ROW]
[ROW][C]93[/C][C]0.735723[/C][C]0.528554[/C][C]0.264277[/C][/ROW]
[ROW][C]94[/C][C]0.708014[/C][C]0.583972[/C][C]0.291986[/C][/ROW]
[ROW][C]95[/C][C]0.684325[/C][C]0.63135[/C][C]0.315675[/C][/ROW]
[ROW][C]96[/C][C]0.659257[/C][C]0.681485[/C][C]0.340743[/C][/ROW]
[ROW][C]97[/C][C]0.628178[/C][C]0.743644[/C][C]0.371822[/C][/ROW]
[ROW][C]98[/C][C]0.633551[/C][C]0.732898[/C][C]0.366449[/C][/ROW]
[ROW][C]99[/C][C]0.598821[/C][C]0.802357[/C][C]0.401179[/C][/ROW]
[ROW][C]100[/C][C]0.587949[/C][C]0.824102[/C][C]0.412051[/C][/ROW]
[ROW][C]101[/C][C]0.560838[/C][C]0.878324[/C][C]0.439162[/C][/ROW]
[ROW][C]102[/C][C]0.536008[/C][C]0.927985[/C][C]0.463992[/C][/ROW]
[ROW][C]103[/C][C]0.59618[/C][C]0.807641[/C][C]0.40382[/C][/ROW]
[ROW][C]104[/C][C]0.594103[/C][C]0.811794[/C][C]0.405897[/C][/ROW]
[ROW][C]105[/C][C]0.611368[/C][C]0.777264[/C][C]0.388632[/C][/ROW]
[ROW][C]106[/C][C]0.585376[/C][C]0.829247[/C][C]0.414624[/C][/ROW]
[ROW][C]107[/C][C]0.578853[/C][C]0.842295[/C][C]0.421147[/C][/ROW]
[ROW][C]108[/C][C]0.637167[/C][C]0.725665[/C][C]0.362833[/C][/ROW]
[ROW][C]109[/C][C]0.610446[/C][C]0.779109[/C][C]0.389554[/C][/ROW]
[ROW][C]110[/C][C]0.594106[/C][C]0.811789[/C][C]0.405894[/C][/ROW]
[ROW][C]111[/C][C]0.596948[/C][C]0.806104[/C][C]0.403052[/C][/ROW]
[ROW][C]112[/C][C]0.603784[/C][C]0.792432[/C][C]0.396216[/C][/ROW]
[ROW][C]113[/C][C]0.580675[/C][C]0.83865[/C][C]0.419325[/C][/ROW]
[ROW][C]114[/C][C]0.673444[/C][C]0.653113[/C][C]0.326556[/C][/ROW]
[ROW][C]115[/C][C]0.645049[/C][C]0.709903[/C][C]0.354951[/C][/ROW]
[ROW][C]116[/C][C]0.616348[/C][C]0.767303[/C][C]0.383652[/C][/ROW]
[ROW][C]117[/C][C]0.585566[/C][C]0.828867[/C][C]0.414434[/C][/ROW]
[ROW][C]118[/C][C]0.565028[/C][C]0.869944[/C][C]0.434972[/C][/ROW]
[ROW][C]119[/C][C]0.534303[/C][C]0.931395[/C][C]0.465697[/C][/ROW]
[ROW][C]120[/C][C]0.508682[/C][C]0.982636[/C][C]0.491318[/C][/ROW]
[ROW][C]121[/C][C]0.479182[/C][C]0.958364[/C][C]0.520818[/C][/ROW]
[ROW][C]122[/C][C]0.447307[/C][C]0.894614[/C][C]0.552693[/C][/ROW]
[ROW][C]123[/C][C]0.422584[/C][C]0.845168[/C][C]0.577416[/C][/ROW]
[ROW][C]124[/C][C]0.389361[/C][C]0.778721[/C][C]0.610639[/C][/ROW]
[ROW][C]125[/C][C]0.376965[/C][C]0.753931[/C][C]0.623035[/C][/ROW]
[ROW][C]126[/C][C]0.353532[/C][C]0.707064[/C][C]0.646468[/C][/ROW]
[ROW][C]127[/C][C]0.33917[/C][C]0.678341[/C][C]0.66083[/C][/ROW]
[ROW][C]128[/C][C]0.467174[/C][C]0.934349[/C][C]0.532826[/C][/ROW]
[ROW][C]129[/C][C]0.449994[/C][C]0.899987[/C][C]0.550006[/C][/ROW]
[ROW][C]130[/C][C]0.437157[/C][C]0.874314[/C][C]0.562843[/C][/ROW]
[ROW][C]131[/C][C]0.420801[/C][C]0.841603[/C][C]0.579199[/C][/ROW]
[ROW][C]132[/C][C]0.388861[/C][C]0.777722[/C][C]0.611139[/C][/ROW]
[ROW][C]133[/C][C]0.406067[/C][C]0.812133[/C][C]0.593933[/C][/ROW]
[ROW][C]134[/C][C]0.379271[/C][C]0.758541[/C][C]0.620729[/C][/ROW]
[ROW][C]135[/C][C]0.406895[/C][C]0.813789[/C][C]0.593105[/C][/ROW]
[ROW][C]136[/C][C]0.392361[/C][C]0.784721[/C][C]0.607639[/C][/ROW]
[ROW][C]137[/C][C]0.362025[/C][C]0.724051[/C][C]0.637975[/C][/ROW]
[ROW][C]138[/C][C]0.343169[/C][C]0.686337[/C][C]0.656831[/C][/ROW]
[ROW][C]139[/C][C]0.315256[/C][C]0.630513[/C][C]0.684744[/C][/ROW]
[ROW][C]140[/C][C]0.289864[/C][C]0.579729[/C][C]0.710136[/C][/ROW]
[ROW][C]141[/C][C]0.260265[/C][C]0.520531[/C][C]0.739735[/C][/ROW]
[ROW][C]142[/C][C]0.283116[/C][C]0.566232[/C][C]0.716884[/C][/ROW]
[ROW][C]143[/C][C]0.254483[/C][C]0.508966[/C][C]0.745517[/C][/ROW]
[ROW][C]144[/C][C]0.232977[/C][C]0.465953[/C][C]0.767023[/C][/ROW]
[ROW][C]145[/C][C]0.227198[/C][C]0.454397[/C][C]0.772802[/C][/ROW]
[ROW][C]146[/C][C]0.219275[/C][C]0.438549[/C][C]0.780725[/C][/ROW]
[ROW][C]147[/C][C]0.23947[/C][C]0.478941[/C][C]0.76053[/C][/ROW]
[ROW][C]148[/C][C]0.256354[/C][C]0.512707[/C][C]0.743646[/C][/ROW]
[ROW][C]149[/C][C]0.264785[/C][C]0.52957[/C][C]0.735215[/C][/ROW]
[ROW][C]150[/C][C]0.275149[/C][C]0.550299[/C][C]0.724851[/C][/ROW]
[ROW][C]151[/C][C]0.251117[/C][C]0.502233[/C][C]0.748883[/C][/ROW]
[ROW][C]152[/C][C]0.227278[/C][C]0.454556[/C][C]0.772722[/C][/ROW]
[ROW][C]153[/C][C]0.23401[/C][C]0.46802[/C][C]0.76599[/C][/ROW]
[ROW][C]154[/C][C]0.245922[/C][C]0.491843[/C][C]0.754078[/C][/ROW]
[ROW][C]155[/C][C]0.237325[/C][C]0.47465[/C][C]0.762675[/C][/ROW]
[ROW][C]156[/C][C]0.210674[/C][C]0.421349[/C][C]0.789326[/C][/ROW]
[ROW][C]157[/C][C]0.191473[/C][C]0.382947[/C][C]0.808527[/C][/ROW]
[ROW][C]158[/C][C]0.307245[/C][C]0.61449[/C][C]0.692755[/C][/ROW]
[ROW][C]159[/C][C]0.319599[/C][C]0.639198[/C][C]0.680401[/C][/ROW]
[ROW][C]160[/C][C]0.294195[/C][C]0.58839[/C][C]0.705805[/C][/ROW]
[ROW][C]161[/C][C]0.268985[/C][C]0.53797[/C][C]0.731015[/C][/ROW]
[ROW][C]162[/C][C]0.243491[/C][C]0.486982[/C][C]0.756509[/C][/ROW]
[ROW][C]163[/C][C]0.220746[/C][C]0.441492[/C][C]0.779254[/C][/ROW]
[ROW][C]164[/C][C]0.360181[/C][C]0.720362[/C][C]0.639819[/C][/ROW]
[ROW][C]165[/C][C]0.351548[/C][C]0.703096[/C][C]0.648452[/C][/ROW]
[ROW][C]166[/C][C]0.346791[/C][C]0.693583[/C][C]0.653209[/C][/ROW]
[ROW][C]167[/C][C]0.313821[/C][C]0.627641[/C][C]0.686179[/C][/ROW]
[ROW][C]168[/C][C]0.288168[/C][C]0.576335[/C][C]0.711832[/C][/ROW]
[ROW][C]169[/C][C]0.34065[/C][C]0.6813[/C][C]0.65935[/C][/ROW]
[ROW][C]170[/C][C]0.366313[/C][C]0.732625[/C][C]0.633687[/C][/ROW]
[ROW][C]171[/C][C]0.33493[/C][C]0.669859[/C][C]0.66507[/C][/ROW]
[ROW][C]172[/C][C]0.330155[/C][C]0.66031[/C][C]0.669845[/C][/ROW]
[ROW][C]173[/C][C]0.500087[/C][C]0.999827[/C][C]0.499913[/C][/ROW]
[ROW][C]174[/C][C]0.483803[/C][C]0.967605[/C][C]0.516197[/C][/ROW]
[ROW][C]175[/C][C]0.50927[/C][C]0.98146[/C][C]0.49073[/C][/ROW]
[ROW][C]176[/C][C]0.520022[/C][C]0.959955[/C][C]0.479978[/C][/ROW]
[ROW][C]177[/C][C]0.575307[/C][C]0.849386[/C][C]0.424693[/C][/ROW]
[ROW][C]178[/C][C]0.542937[/C][C]0.914126[/C][C]0.457063[/C][/ROW]
[ROW][C]179[/C][C]0.519154[/C][C]0.961692[/C][C]0.480846[/C][/ROW]
[ROW][C]180[/C][C]0.519786[/C][C]0.960428[/C][C]0.480214[/C][/ROW]
[ROW][C]181[/C][C]0.485298[/C][C]0.970597[/C][C]0.514702[/C][/ROW]
[ROW][C]182[/C][C]0.480688[/C][C]0.961376[/C][C]0.519312[/C][/ROW]
[ROW][C]183[/C][C]0.44234[/C][C]0.88468[/C][C]0.55766[/C][/ROW]
[ROW][C]184[/C][C]0.413311[/C][C]0.826623[/C][C]0.586689[/C][/ROW]
[ROW][C]185[/C][C]0.433138[/C][C]0.866276[/C][C]0.566862[/C][/ROW]
[ROW][C]186[/C][C]0.423939[/C][C]0.847877[/C][C]0.576061[/C][/ROW]
[ROW][C]187[/C][C]0.387532[/C][C]0.775065[/C][C]0.612468[/C][/ROW]
[ROW][C]188[/C][C]0.359911[/C][C]0.719821[/C][C]0.640089[/C][/ROW]
[ROW][C]189[/C][C]0.325195[/C][C]0.65039[/C][C]0.674805[/C][/ROW]
[ROW][C]190[/C][C]0.305084[/C][C]0.610168[/C][C]0.694916[/C][/ROW]
[ROW][C]191[/C][C]0.322763[/C][C]0.645527[/C][C]0.677237[/C][/ROW]
[ROW][C]192[/C][C]0.300389[/C][C]0.600779[/C][C]0.699611[/C][/ROW]
[ROW][C]193[/C][C]0.321602[/C][C]0.643205[/C][C]0.678398[/C][/ROW]
[ROW][C]194[/C][C]0.308206[/C][C]0.616413[/C][C]0.691794[/C][/ROW]
[ROW][C]195[/C][C]0.308142[/C][C]0.616285[/C][C]0.691858[/C][/ROW]
[ROW][C]196[/C][C]0.318053[/C][C]0.636107[/C][C]0.681947[/C][/ROW]
[ROW][C]197[/C][C]0.351303[/C][C]0.702607[/C][C]0.648697[/C][/ROW]
[ROW][C]198[/C][C]0.323587[/C][C]0.647174[/C][C]0.676413[/C][/ROW]
[ROW][C]199[/C][C]0.363585[/C][C]0.72717[/C][C]0.636415[/C][/ROW]
[ROW][C]200[/C][C]0.328225[/C][C]0.656451[/C][C]0.671775[/C][/ROW]
[ROW][C]201[/C][C]0.371295[/C][C]0.742591[/C][C]0.628705[/C][/ROW]
[ROW][C]202[/C][C]0.348841[/C][C]0.697682[/C][C]0.651159[/C][/ROW]
[ROW][C]203[/C][C]0.396035[/C][C]0.792069[/C][C]0.603965[/C][/ROW]
[ROW][C]204[/C][C]0.356418[/C][C]0.712837[/C][C]0.643582[/C][/ROW]
[ROW][C]205[/C][C]0.319238[/C][C]0.638476[/C][C]0.680762[/C][/ROW]
[ROW][C]206[/C][C]0.296156[/C][C]0.592311[/C][C]0.703844[/C][/ROW]
[ROW][C]207[/C][C]0.26047[/C][C]0.520941[/C][C]0.73953[/C][/ROW]
[ROW][C]208[/C][C]0.302438[/C][C]0.604876[/C][C]0.697562[/C][/ROW]
[ROW][C]209[/C][C]0.266569[/C][C]0.533138[/C][C]0.733431[/C][/ROW]
[ROW][C]210[/C][C]0.265481[/C][C]0.530962[/C][C]0.734519[/C][/ROW]
[ROW][C]211[/C][C]0.284827[/C][C]0.569654[/C][C]0.715173[/C][/ROW]
[ROW][C]212[/C][C]0.278115[/C][C]0.556229[/C][C]0.721885[/C][/ROW]
[ROW][C]213[/C][C]0.243204[/C][C]0.486408[/C][C]0.756796[/C][/ROW]
[ROW][C]214[/C][C]0.311277[/C][C]0.622554[/C][C]0.688723[/C][/ROW]
[ROW][C]215[/C][C]0.283133[/C][C]0.566265[/C][C]0.716867[/C][/ROW]
[ROW][C]216[/C][C]0.269728[/C][C]0.539456[/C][C]0.730272[/C][/ROW]
[ROW][C]217[/C][C]0.285618[/C][C]0.571235[/C][C]0.714382[/C][/ROW]
[ROW][C]218[/C][C]0.247342[/C][C]0.494683[/C][C]0.752658[/C][/ROW]
[ROW][C]219[/C][C]0.237527[/C][C]0.475054[/C][C]0.762473[/C][/ROW]
[ROW][C]220[/C][C]0.233649[/C][C]0.467298[/C][C]0.766351[/C][/ROW]
[ROW][C]221[/C][C]0.25514[/C][C]0.51028[/C][C]0.74486[/C][/ROW]
[ROW][C]222[/C][C]0.264072[/C][C]0.528145[/C][C]0.735928[/C][/ROW]
[ROW][C]223[/C][C]0.256118[/C][C]0.512235[/C][C]0.743882[/C][/ROW]
[ROW][C]224[/C][C]0.220775[/C][C]0.441549[/C][C]0.779225[/C][/ROW]
[ROW][C]225[/C][C]0.195422[/C][C]0.390843[/C][C]0.804578[/C][/ROW]
[ROW][C]226[/C][C]0.225681[/C][C]0.451362[/C][C]0.774319[/C][/ROW]
[ROW][C]227[/C][C]0.507624[/C][C]0.984752[/C][C]0.492376[/C][/ROW]
[ROW][C]228[/C][C]0.473945[/C][C]0.94789[/C][C]0.526055[/C][/ROW]
[ROW][C]229[/C][C]0.45312[/C][C]0.90624[/C][C]0.54688[/C][/ROW]
[ROW][C]230[/C][C]0.434888[/C][C]0.869776[/C][C]0.565112[/C][/ROW]
[ROW][C]231[/C][C]0.386876[/C][C]0.773752[/C][C]0.613124[/C][/ROW]
[ROW][C]232[/C][C]0.41395[/C][C]0.8279[/C][C]0.58605[/C][/ROW]
[ROW][C]233[/C][C]0.367939[/C][C]0.735879[/C][C]0.632061[/C][/ROW]
[ROW][C]234[/C][C]0.317738[/C][C]0.635476[/C][C]0.682262[/C][/ROW]
[ROW][C]235[/C][C]0.328828[/C][C]0.657655[/C][C]0.671172[/C][/ROW]
[ROW][C]236[/C][C]0.297949[/C][C]0.595898[/C][C]0.702051[/C][/ROW]
[ROW][C]237[/C][C]0.258834[/C][C]0.517668[/C][C]0.741166[/C][/ROW]
[ROW][C]238[/C][C]0.213047[/C][C]0.426094[/C][C]0.786953[/C][/ROW]
[ROW][C]239[/C][C]0.330541[/C][C]0.661083[/C][C]0.669459[/C][/ROW]
[ROW][C]240[/C][C]0.316675[/C][C]0.633349[/C][C]0.683325[/C][/ROW]
[ROW][C]241[/C][C]0.301199[/C][C]0.602399[/C][C]0.698801[/C][/ROW]
[ROW][C]242[/C][C]0.384877[/C][C]0.769754[/C][C]0.615123[/C][/ROW]
[ROW][C]243[/C][C]0.319284[/C][C]0.638568[/C][C]0.680716[/C][/ROW]
[ROW][C]244[/C][C]0.258184[/C][C]0.516369[/C][C]0.741816[/C][/ROW]
[ROW][C]245[/C][C]0.258803[/C][C]0.517605[/C][C]0.741197[/C][/ROW]
[ROW][C]246[/C][C]0.208772[/C][C]0.417545[/C][C]0.791228[/C][/ROW]
[ROW][C]247[/C][C]0.156103[/C][C]0.312206[/C][C]0.843897[/C][/ROW]
[ROW][C]248[/C][C]0.522048[/C][C]0.955904[/C][C]0.477952[/C][/ROW]
[ROW][C]249[/C][C]0.432048[/C][C]0.864096[/C][C]0.567952[/C][/ROW]
[ROW][C]250[/C][C]0.377262[/C][C]0.754524[/C][C]0.622738[/C][/ROW]
[ROW][C]251[/C][C]0.398519[/C][C]0.797039[/C][C]0.601481[/C][/ROW]
[ROW][C]252[/C][C]0.687533[/C][C]0.624933[/C][C]0.312467[/C][/ROW]
[ROW][C]253[/C][C]0.696881[/C][C]0.606239[/C][C]0.303119[/C][/ROW]
[ROW][C]254[/C][C]0.877143[/C][C]0.245714[/C][C]0.122857[/C][/ROW]
[ROW][C]255[/C][C]0.835929[/C][C]0.328141[/C][C]0.164071[/C][/ROW]
[ROW][C]256[/C][C]0.840024[/C][C]0.319953[/C][C]0.159976[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226228&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226228&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
80.7542020.4915950.245798
90.6131950.773610.386805
100.525140.949720.47486
110.4272370.8544740.572763
120.7237750.552450.276225
130.9298790.1402430.0701213
140.9241470.1517050.0758527
150.9689240.06215290.0310765
160.9525150.09496970.0474849
170.9378520.1242950.0621477
180.9265920.1468170.0734083
190.9195470.1609060.0804531
200.9013320.1973350.0986675
210.9042770.1914450.0957225
220.9397420.1205160.0602582
230.9235490.1529020.0764511
240.9196630.1606750.0803374
250.8978050.204390.102195
260.9970260.005948640.00297432
270.9957540.008491780.00424589
280.9936850.01263020.00631508
290.9910870.01782570.00891286
300.9953130.009374430.00468722
310.993210.01357940.00678972
320.9908930.01821450.00910723
330.9889950.02201040.0110052
340.984590.03081980.0154099
350.9795640.04087190.0204359
360.9724590.05508270.0275414
370.9786570.04268670.0213433
380.9716640.05667270.0283364
390.9688940.06221210.0311061
400.970790.05842040.0292102
410.9629690.07406190.037031
420.9627050.07459060.0372953
430.9520840.09583240.0479162
440.9498030.1003950.0501973
450.9366730.1266550.0633273
460.946450.1070990.0535495
470.9327230.1345540.0672769
480.9165530.1668950.0834474
490.940390.1192210.0596103
500.9352790.1294420.0647209
510.9215840.1568320.0784161
520.904590.1908210.0954103
530.891460.2170790.10854
540.8891810.2216380.110819
550.8831860.2336270.116814
560.873330.253340.12667
570.8650590.2698830.134941
580.8416460.3167080.158354
590.8688330.2623340.131167
600.8609060.2781880.139094
610.8894480.2211030.110552
620.880720.2385610.11928
630.9132140.1735720.0867859
640.8973290.2053420.102671
650.8814850.2370310.118515
660.9496420.1007160.050358
670.9485910.1028180.0514092
680.9527940.09441260.0472063
690.9457160.1085690.0542843
700.9384670.1230660.061533
710.9260610.1478780.073939
720.9378570.1242860.0621429
730.9261060.1477880.0738942
740.9126030.1747940.0873969
750.9044750.1910510.0955253
760.8870750.225850.112925
770.9010960.1978080.0989039
780.8843250.2313490.115675
790.8755390.2489220.124461
800.8775450.244910.122455
810.857160.2856790.14284
820.836150.3277010.16385
830.8285320.3429360.171468
840.8067160.3865690.193284
850.7796570.4406860.220343
860.7560930.4878140.243907
870.7263850.5472290.273615
880.6943350.6113290.305665
890.7637870.4724270.236213
900.806620.386760.19338
910.7804440.4391120.219556
920.7561310.4877380.243869
930.7357230.5285540.264277
940.7080140.5839720.291986
950.6843250.631350.315675
960.6592570.6814850.340743
970.6281780.7436440.371822
980.6335510.7328980.366449
990.5988210.8023570.401179
1000.5879490.8241020.412051
1010.5608380.8783240.439162
1020.5360080.9279850.463992
1030.596180.8076410.40382
1040.5941030.8117940.405897
1050.6113680.7772640.388632
1060.5853760.8292470.414624
1070.5788530.8422950.421147
1080.6371670.7256650.362833
1090.6104460.7791090.389554
1100.5941060.8117890.405894
1110.5969480.8061040.403052
1120.6037840.7924320.396216
1130.5806750.838650.419325
1140.6734440.6531130.326556
1150.6450490.7099030.354951
1160.6163480.7673030.383652
1170.5855660.8288670.414434
1180.5650280.8699440.434972
1190.5343030.9313950.465697
1200.5086820.9826360.491318
1210.4791820.9583640.520818
1220.4473070.8946140.552693
1230.4225840.8451680.577416
1240.3893610.7787210.610639
1250.3769650.7539310.623035
1260.3535320.7070640.646468
1270.339170.6783410.66083
1280.4671740.9343490.532826
1290.4499940.8999870.550006
1300.4371570.8743140.562843
1310.4208010.8416030.579199
1320.3888610.7777220.611139
1330.4060670.8121330.593933
1340.3792710.7585410.620729
1350.4068950.8137890.593105
1360.3923610.7847210.607639
1370.3620250.7240510.637975
1380.3431690.6863370.656831
1390.3152560.6305130.684744
1400.2898640.5797290.710136
1410.2602650.5205310.739735
1420.2831160.5662320.716884
1430.2544830.5089660.745517
1440.2329770.4659530.767023
1450.2271980.4543970.772802
1460.2192750.4385490.780725
1470.239470.4789410.76053
1480.2563540.5127070.743646
1490.2647850.529570.735215
1500.2751490.5502990.724851
1510.2511170.5022330.748883
1520.2272780.4545560.772722
1530.234010.468020.76599
1540.2459220.4918430.754078
1550.2373250.474650.762675
1560.2106740.4213490.789326
1570.1914730.3829470.808527
1580.3072450.614490.692755
1590.3195990.6391980.680401
1600.2941950.588390.705805
1610.2689850.537970.731015
1620.2434910.4869820.756509
1630.2207460.4414920.779254
1640.3601810.7203620.639819
1650.3515480.7030960.648452
1660.3467910.6935830.653209
1670.3138210.6276410.686179
1680.2881680.5763350.711832
1690.340650.68130.65935
1700.3663130.7326250.633687
1710.334930.6698590.66507
1720.3301550.660310.669845
1730.5000870.9998270.499913
1740.4838030.9676050.516197
1750.509270.981460.49073
1760.5200220.9599550.479978
1770.5753070.8493860.424693
1780.5429370.9141260.457063
1790.5191540.9616920.480846
1800.5197860.9604280.480214
1810.4852980.9705970.514702
1820.4806880.9613760.519312
1830.442340.884680.55766
1840.4133110.8266230.586689
1850.4331380.8662760.566862
1860.4239390.8478770.576061
1870.3875320.7750650.612468
1880.3599110.7198210.640089
1890.3251950.650390.674805
1900.3050840.6101680.694916
1910.3227630.6455270.677237
1920.3003890.6007790.699611
1930.3216020.6432050.678398
1940.3082060.6164130.691794
1950.3081420.6162850.691858
1960.3180530.6361070.681947
1970.3513030.7026070.648697
1980.3235870.6471740.676413
1990.3635850.727170.636415
2000.3282250.6564510.671775
2010.3712950.7425910.628705
2020.3488410.6976820.651159
2030.3960350.7920690.603965
2040.3564180.7128370.643582
2050.3192380.6384760.680762
2060.2961560.5923110.703844
2070.260470.5209410.73953
2080.3024380.6048760.697562
2090.2665690.5331380.733431
2100.2654810.5309620.734519
2110.2848270.5696540.715173
2120.2781150.5562290.721885
2130.2432040.4864080.756796
2140.3112770.6225540.688723
2150.2831330.5662650.716867
2160.2697280.5394560.730272
2170.2856180.5712350.714382
2180.2473420.4946830.752658
2190.2375270.4750540.762473
2200.2336490.4672980.766351
2210.255140.510280.74486
2220.2640720.5281450.735928
2230.2561180.5122350.743882
2240.2207750.4415490.779225
2250.1954220.3908430.804578
2260.2256810.4513620.774319
2270.5076240.9847520.492376
2280.4739450.947890.526055
2290.453120.906240.54688
2300.4348880.8697760.565112
2310.3868760.7737520.613124
2320.413950.82790.58605
2330.3679390.7358790.632061
2340.3177380.6354760.682262
2350.3288280.6576550.671172
2360.2979490.5958980.702051
2370.2588340.5176680.741166
2380.2130470.4260940.786953
2390.3305410.6610830.669459
2400.3166750.6333490.683325
2410.3011990.6023990.698801
2420.3848770.7697540.615123
2430.3192840.6385680.680716
2440.2581840.5163690.741816
2450.2588030.5176050.741197
2460.2087720.4175450.791228
2470.1561030.3122060.843897
2480.5220480.9559040.477952
2490.4320480.8640960.567952
2500.3772620.7545240.622738
2510.3985190.7970390.601481
2520.6875330.6249330.312467
2530.6968810.6062390.303119
2540.8771430.2457140.122857
2550.8359290.3281410.164071
2560.8400240.3199530.159976






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level30.0120482NOK
5% type I error level110.0441767OK
10% type I error level210.0843373OK

\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 & 3 & 0.0120482 & NOK \tabularnewline
5% type I error level & 11 & 0.0441767 & OK \tabularnewline
10% type I error level & 21 & 0.0843373 & OK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226228&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]3[/C][C]0.0120482[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]11[/C][C]0.0441767[/C][C]OK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]21[/C][C]0.0843373[/C][C]OK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226228&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226228&T=6

As an alternative you can also use a QR Code:  
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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 level30.0120482NOK
5% type I error level110.0441767OK
10% type I error level210.0843373OK


Figures (Output of Computation)

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Figure 10
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Input Parameters & R Code

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