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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 computationTue, 11 Nov 2014 14:14:57 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Nov/11/t1415715338exukjpuzevshscz.htm/, Retrieved Sun, 19 May 2024 12:16:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=253620, Retrieved Sun, 19 May 2024 12:16:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact97

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [ws7] [2014-11-11 14:14:57] [dc969788184b4054fec3872fb7bbe8a3] [Current]
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Dataset

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

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 9 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253620&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]9 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253620&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253620&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 time9 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net






Multiple Linear Regression - Estimated Regression Equation
Learning[t] = + 7.86769 + 0.150411Happiness[t] -0.0805211Depression[t] + 0.100356Separate[t] + 0.0614021Connected[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Learning[t] =  +  7.86769 +  0.150411Happiness[t] -0.0805211Depression[t] +  0.100356Separate[t] +  0.0614021Connected[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253620&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Learning[t] =  +  7.86769 +  0.150411Happiness[t] -0.0805211Depression[t] +  0.100356Separate[t] +  0.0614021Connected[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253620&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253620&T=1

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


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

Multiple Linear Regression - Estimated Regression Equation
Learning[t] = + 7.86769 + 0.150411Happiness[t] -0.0805211Depression[t] + 0.100356Separate[t] + 0.0614021Connected[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)7.867692.113093.7230.0002412750.000120637
Happiness0.1504110.07084492.1230.03469370.0173469
Depression-0.08052110.05101-1.5790.1156630.0578317
Separate0.1003560.043552.3040.0219920.010996
Connected0.06140210.04268371.4390.1514890.0757444

\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) & 7.86769 & 2.11309 & 3.723 & 0.000241275 & 0.000120637 \tabularnewline
Happiness & 0.150411 & 0.0708449 & 2.123 & 0.0346937 & 0.0173469 \tabularnewline
Depression & -0.0805211 & 0.05101 & -1.579 & 0.115663 & 0.0578317 \tabularnewline
Separate & 0.100356 & 0.04355 & 2.304 & 0.021992 & 0.010996 \tabularnewline
Connected & 0.0614021 & 0.0426837 & 1.439 & 0.151489 & 0.0757444 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253620&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]7.86769[/C][C]2.11309[/C][C]3.723[/C][C]0.000241275[/C][C]0.000120637[/C][/ROW]
[ROW][C]Happiness[/C][C]0.150411[/C][C]0.0708449[/C][C]2.123[/C][C]0.0346937[/C][C]0.0173469[/C][/ROW]
[ROW][C]Depression[/C][C]-0.0805211[/C][C]0.05101[/C][C]-1.579[/C][C]0.115663[/C][C]0.0578317[/C][/ROW]
[ROW][C]Separate[/C][C]0.100356[/C][C]0.04355[/C][C]2.304[/C][C]0.021992[/C][C]0.010996[/C][/ROW]
[ROW][C]Connected[/C][C]0.0614021[/C][C]0.0426837[/C][C]1.439[/C][C]0.151489[/C][C]0.0757444[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253620&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253620&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)7.867692.113093.7230.0002412750.000120637
Happiness0.1504110.07084492.1230.03469370.0173469
Depression-0.08052110.05101-1.5790.1156630.0578317
Separate0.1003560.043552.3040.0219920.010996
Connected0.06140210.04268371.4390.1514890.0757444






Multiple Linear Regression - Regression Statistics
Multiple R0.341991
R-squared0.116958
Adjusted R-squared0.10332
F-TEST (value)8.57603
F-TEST (DF numerator)4
F-TEST (DF denominator)259
p-value1.63185e-06
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.32564
Sum Squared Residuals1400.83

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.341991 \tabularnewline
R-squared & 0.116958 \tabularnewline
Adjusted R-squared & 0.10332 \tabularnewline
F-TEST (value) & 8.57603 \tabularnewline
F-TEST (DF numerator) & 4 \tabularnewline
F-TEST (DF denominator) & 259 \tabularnewline
p-value & 1.63185e-06 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.32564 \tabularnewline
Sum Squared Residuals & 1400.83 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253620&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.341991[/C][/ROW]
[ROW][C]R-squared[/C][C]0.116958[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.10332[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]8.57603[/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]1.63185e-06[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]2.32564[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]1400.83[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253620&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253620&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 R0.341991
R-squared0.116958
Adjusted R-squared0.10332
F-TEST (value)8.57603
F-TEST (DF numerator)4
F-TEST (DF denominator)259
p-value1.63185e-06
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.32564
Sum Squared Residuals1400.83






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
11315.3382-2.33822
21615.29540.704556
31913.74955.25055
41513.92161.0784
51414.3842-0.384183
61314.6682-1.66825
71913.70775.29229
81514.78820.211784
91415.0416-1.0416
101515.1625-0.162504
111615.06380.936204
121615.70390.296075
131614.00971.99026
141615.35520.644802
151715.50931.49066
161514.12280.877221
171514.2680.731969
182015.68584.31423
191815.37652.62354
201614.40381.59623
211615.08680.913232
221613.40942.59057
231915.21543.78458
241614.73111.26889
251715.1451.85497
261714.22562.77441
271615.11150.888515
281514.50510.494914
291614.33461.66541
301413.87490.125129
311514.56410.435909
321213.4845-1.48448
331415.0024-1.00239
341615.0390.961017
351414.025-0.0250346
361014.9067-4.90673
371012.5027-2.50268
381414.6798-0.67984
391614.51121.48882
401614.47871.52134
411614.88241.11755
421414.5464-0.546405
432015.17484.82522
441414.0062-0.00616304
451414.3814-0.381383
461114.2598-3.25979
471415.6463-1.64635
481514.67650.323488
491615.24090.759119
501414.482-0.481987
511615.24750.752533
521413.82170.178291
531213.3495-1.34946
541614.44651.55346
55913.9632-4.96316
561414.7407-0.740652
571615.03430.965707
581614.59191.40805
591514.75210.247879
601614.0261.974
611212.1126-0.1126
621614.60221.39782
631614.15611.84389
641414.2621-0.26209
651614.27581.7242
661714.34832.65167
671813.87634.1237
681813.25814.74194
691215.486-3.48602
701614.85881.14118
711014.8728-4.87278
721414.7835-0.78346
731815.07872.92135
741815.76652.23346
751613.73462.2654
761713.54813.4519
771615.3630.637031
781613.65292.3471
791313.9074-0.90739
801614.07981.92016
811614.87721.12278
821615.26140.738573
831514.89170.108347
841514.53460.465412
851614.0641.93601
861415.3243-1.32426
871614.44561.55442
881613.60732.39272
891512.48712.51286
901214.8942-2.8942
911714.03712.9629
921615.34080.659231
931513.54051.45952
941313.6079-0.607874
951615.3960.603952
961614.16861.83136
971614.34781.65216
981615.22290.777058
991414.8963-0.896344
1001615.56560.434422
1011614.16861.83136
1022015.23174.76832
1031513.41131.58867
1041614.77571.22431
1051313.359-0.358978
1061715.23431.76571
1071615.26690.733095
1081613.88692.11306
1091214.2946-2.29455
1101614.25071.74926
1111613.52962.47038
1121715.01681.98322
1131314.0423-1.04226
1141215.2928-3.29283
1151814.95233.04766
1161414.8867-0.886676
1171415.0286-1.0286
1181314.7875-1.7875
1191614.71171.28826
1201314.2043-1.20426
1211613.45922.54076
1221315.4853-2.4853
1231615.56510.434891
1241514.55960.440352
1251614.15251.84747
1261515.3866-0.386596
1271716.23510.76494
1281515.4789-0.478868
1291214.5379-2.53792
1301614.21391.78607
1311012.5416-2.54163
1321615.48790.512083
1331213.5846-1.58459
1341415.243-1.24302
1351514.02220.977825
1361311.59731.40267
1371514.44630.553704
1381113.5884-2.58841
1391214.7993-2.79932
1401114.2727-3.27272
1411614.69561.30437
1421514.70220.297778
1431714.36172.63827
1441613.36932.63073
1451014.9557-4.95567
1461813.98254.0175
1471314.2987-1.29874
1481613.86282.13719
1491313.052-0.0519681
1501015.5552-5.55519
1511514.74630.253749
1521615.45080.549207
1531614.76931.23066
1541413.43690.563113
1551013.511-3.51097
1561714.03712.9629
1571314.5242-1.5242
1581515.4789-0.478868
1591614.39741.60258
1601214.0017-2.00165
1611314.2352-1.2352
1621311.70641.29358
1631213.3589-1.35888
1641714.30892.69111
1651513.9241.07601
1661012.1546-2.15457
1671414.161-0.161017
1681112.6507-1.65069
1691313.8343-0.834268
1701613.14312.85694
1711213.2947-1.29472
1721615.23170.768323
1731214.2851-2.2851
174912.7437-3.74375
1751214.2479-2.24795
1761514.57570.424314
1771213.5167-1.51669
1781213.076-1.076
1791414.4836-0.48357
1801214.4414-2.44138
1811614.9111.08898
1821114.2581-3.25811
1831914.75444.24558
1841514.71290.287081
185813.5494-5.54936
1861613.87082.12917
1871714.46872.53126
1881214.6633-2.66333
1891113.225-2.22498
1901113.409-2.40897
1911414.0531-0.0531364
1921615.51580.484229
1931214.1927-2.19267
1941614.09611.90386
1951314.1728-1.17283
1961514.79180.208208
1971613.64232.35774
1981614.50511.49491
1991412.87911.12089
2001613.58412.41588
2011612.70533.29471
2021413.64190.358054
2031114.7377-3.73767
2041213.9948-1.99482
2051514.67650.323488
2061514.77760.222416
2071614.86951.13055
2081614.82841.17164
2091114.218-3.21798
2101514.70740.292553
2111213.252-1.25196
2121216.3217-4.3217
2131513.95161.0484
2141513.37851.6215
2151613.81492.1851
2161413.30530.694749
2171715.07771.92231
2181414.814-0.813992
2191313.0225-0.0224653
2201515.1209-0.120937
2211314.0168-1.01679
2221415.2541-1.25412
2231513.24061.75938
2241214.514-2.51404
2251313.2309-0.23095
226815.0468-7.04675
2271414.9546-0.954638
2281414.1448-0.144758
2291112.6184-1.61843
2301214.0756-2.07558
2311314.1056-1.10556
2321013.7729-3.77287
2331614.77621.22385
2341814.28343.71658
2351314.8487-1.84865
2361113.7164-2.71644
237413.5863-9.58633
2381313.6964-0.696358
2391613.37782.62222
2401013.8385-3.83853
2411213.7367-1.73667
2421213.2026-1.20263
2431012.9135-2.91352
2441313.8451-0.845121
2451514.37950.620513
2461213.2049-1.20493
2471414.0926-0.0925596
2481013.5433-3.54334
2491211.03550.964496
2501211.68090.319142
2511114.3121-3.31214
2521013.6919-3.69185
2531214.5599-2.5599
2541614.01391.98607
2551213.8874-1.8874
2561413.86420.13576
2571613.39272.60729
2581412.88691.11312
2591314.6-1.60004
260413.8874-9.8874
2611513.67571.32426
2621115.0588-4.05882
2631113.218-2.21802
2641413.99930.000741687

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 13 & 15.3382 & -2.33822 \tabularnewline
2 & 16 & 15.2954 & 0.704556 \tabularnewline
3 & 19 & 13.7495 & 5.25055 \tabularnewline
4 & 15 & 13.9216 & 1.0784 \tabularnewline
5 & 14 & 14.3842 & -0.384183 \tabularnewline
6 & 13 & 14.6682 & -1.66825 \tabularnewline
7 & 19 & 13.7077 & 5.29229 \tabularnewline
8 & 15 & 14.7882 & 0.211784 \tabularnewline
9 & 14 & 15.0416 & -1.0416 \tabularnewline
10 & 15 & 15.1625 & -0.162504 \tabularnewline
11 & 16 & 15.0638 & 0.936204 \tabularnewline
12 & 16 & 15.7039 & 0.296075 \tabularnewline
13 & 16 & 14.0097 & 1.99026 \tabularnewline
14 & 16 & 15.3552 & 0.644802 \tabularnewline
15 & 17 & 15.5093 & 1.49066 \tabularnewline
16 & 15 & 14.1228 & 0.877221 \tabularnewline
17 & 15 & 14.268 & 0.731969 \tabularnewline
18 & 20 & 15.6858 & 4.31423 \tabularnewline
19 & 18 & 15.3765 & 2.62354 \tabularnewline
20 & 16 & 14.4038 & 1.59623 \tabularnewline
21 & 16 & 15.0868 & 0.913232 \tabularnewline
22 & 16 & 13.4094 & 2.59057 \tabularnewline
23 & 19 & 15.2154 & 3.78458 \tabularnewline
24 & 16 & 14.7311 & 1.26889 \tabularnewline
25 & 17 & 15.145 & 1.85497 \tabularnewline
26 & 17 & 14.2256 & 2.77441 \tabularnewline
27 & 16 & 15.1115 & 0.888515 \tabularnewline
28 & 15 & 14.5051 & 0.494914 \tabularnewline
29 & 16 & 14.3346 & 1.66541 \tabularnewline
30 & 14 & 13.8749 & 0.125129 \tabularnewline
31 & 15 & 14.5641 & 0.435909 \tabularnewline
32 & 12 & 13.4845 & -1.48448 \tabularnewline
33 & 14 & 15.0024 & -1.00239 \tabularnewline
34 & 16 & 15.039 & 0.961017 \tabularnewline
35 & 14 & 14.025 & -0.0250346 \tabularnewline
36 & 10 & 14.9067 & -4.90673 \tabularnewline
37 & 10 & 12.5027 & -2.50268 \tabularnewline
38 & 14 & 14.6798 & -0.67984 \tabularnewline
39 & 16 & 14.5112 & 1.48882 \tabularnewline
40 & 16 & 14.4787 & 1.52134 \tabularnewline
41 & 16 & 14.8824 & 1.11755 \tabularnewline
42 & 14 & 14.5464 & -0.546405 \tabularnewline
43 & 20 & 15.1748 & 4.82522 \tabularnewline
44 & 14 & 14.0062 & -0.00616304 \tabularnewline
45 & 14 & 14.3814 & -0.381383 \tabularnewline
46 & 11 & 14.2598 & -3.25979 \tabularnewline
47 & 14 & 15.6463 & -1.64635 \tabularnewline
48 & 15 & 14.6765 & 0.323488 \tabularnewline
49 & 16 & 15.2409 & 0.759119 \tabularnewline
50 & 14 & 14.482 & -0.481987 \tabularnewline
51 & 16 & 15.2475 & 0.752533 \tabularnewline
52 & 14 & 13.8217 & 0.178291 \tabularnewline
53 & 12 & 13.3495 & -1.34946 \tabularnewline
54 & 16 & 14.4465 & 1.55346 \tabularnewline
55 & 9 & 13.9632 & -4.96316 \tabularnewline
56 & 14 & 14.7407 & -0.740652 \tabularnewline
57 & 16 & 15.0343 & 0.965707 \tabularnewline
58 & 16 & 14.5919 & 1.40805 \tabularnewline
59 & 15 & 14.7521 & 0.247879 \tabularnewline
60 & 16 & 14.026 & 1.974 \tabularnewline
61 & 12 & 12.1126 & -0.1126 \tabularnewline
62 & 16 & 14.6022 & 1.39782 \tabularnewline
63 & 16 & 14.1561 & 1.84389 \tabularnewline
64 & 14 & 14.2621 & -0.26209 \tabularnewline
65 & 16 & 14.2758 & 1.7242 \tabularnewline
66 & 17 & 14.3483 & 2.65167 \tabularnewline
67 & 18 & 13.8763 & 4.1237 \tabularnewline
68 & 18 & 13.2581 & 4.74194 \tabularnewline
69 & 12 & 15.486 & -3.48602 \tabularnewline
70 & 16 & 14.8588 & 1.14118 \tabularnewline
71 & 10 & 14.8728 & -4.87278 \tabularnewline
72 & 14 & 14.7835 & -0.78346 \tabularnewline
73 & 18 & 15.0787 & 2.92135 \tabularnewline
74 & 18 & 15.7665 & 2.23346 \tabularnewline
75 & 16 & 13.7346 & 2.2654 \tabularnewline
76 & 17 & 13.5481 & 3.4519 \tabularnewline
77 & 16 & 15.363 & 0.637031 \tabularnewline
78 & 16 & 13.6529 & 2.3471 \tabularnewline
79 & 13 & 13.9074 & -0.90739 \tabularnewline
80 & 16 & 14.0798 & 1.92016 \tabularnewline
81 & 16 & 14.8772 & 1.12278 \tabularnewline
82 & 16 & 15.2614 & 0.738573 \tabularnewline
83 & 15 & 14.8917 & 0.108347 \tabularnewline
84 & 15 & 14.5346 & 0.465412 \tabularnewline
85 & 16 & 14.064 & 1.93601 \tabularnewline
86 & 14 & 15.3243 & -1.32426 \tabularnewline
87 & 16 & 14.4456 & 1.55442 \tabularnewline
88 & 16 & 13.6073 & 2.39272 \tabularnewline
89 & 15 & 12.4871 & 2.51286 \tabularnewline
90 & 12 & 14.8942 & -2.8942 \tabularnewline
91 & 17 & 14.0371 & 2.9629 \tabularnewline
92 & 16 & 15.3408 & 0.659231 \tabularnewline
93 & 15 & 13.5405 & 1.45952 \tabularnewline
94 & 13 & 13.6079 & -0.607874 \tabularnewline
95 & 16 & 15.396 & 0.603952 \tabularnewline
96 & 16 & 14.1686 & 1.83136 \tabularnewline
97 & 16 & 14.3478 & 1.65216 \tabularnewline
98 & 16 & 15.2229 & 0.777058 \tabularnewline
99 & 14 & 14.8963 & -0.896344 \tabularnewline
100 & 16 & 15.5656 & 0.434422 \tabularnewline
101 & 16 & 14.1686 & 1.83136 \tabularnewline
102 & 20 & 15.2317 & 4.76832 \tabularnewline
103 & 15 & 13.4113 & 1.58867 \tabularnewline
104 & 16 & 14.7757 & 1.22431 \tabularnewline
105 & 13 & 13.359 & -0.358978 \tabularnewline
106 & 17 & 15.2343 & 1.76571 \tabularnewline
107 & 16 & 15.2669 & 0.733095 \tabularnewline
108 & 16 & 13.8869 & 2.11306 \tabularnewline
109 & 12 & 14.2946 & -2.29455 \tabularnewline
110 & 16 & 14.2507 & 1.74926 \tabularnewline
111 & 16 & 13.5296 & 2.47038 \tabularnewline
112 & 17 & 15.0168 & 1.98322 \tabularnewline
113 & 13 & 14.0423 & -1.04226 \tabularnewline
114 & 12 & 15.2928 & -3.29283 \tabularnewline
115 & 18 & 14.9523 & 3.04766 \tabularnewline
116 & 14 & 14.8867 & -0.886676 \tabularnewline
117 & 14 & 15.0286 & -1.0286 \tabularnewline
118 & 13 & 14.7875 & -1.7875 \tabularnewline
119 & 16 & 14.7117 & 1.28826 \tabularnewline
120 & 13 & 14.2043 & -1.20426 \tabularnewline
121 & 16 & 13.4592 & 2.54076 \tabularnewline
122 & 13 & 15.4853 & -2.4853 \tabularnewline
123 & 16 & 15.5651 & 0.434891 \tabularnewline
124 & 15 & 14.5596 & 0.440352 \tabularnewline
125 & 16 & 14.1525 & 1.84747 \tabularnewline
126 & 15 & 15.3866 & -0.386596 \tabularnewline
127 & 17 & 16.2351 & 0.76494 \tabularnewline
128 & 15 & 15.4789 & -0.478868 \tabularnewline
129 & 12 & 14.5379 & -2.53792 \tabularnewline
130 & 16 & 14.2139 & 1.78607 \tabularnewline
131 & 10 & 12.5416 & -2.54163 \tabularnewline
132 & 16 & 15.4879 & 0.512083 \tabularnewline
133 & 12 & 13.5846 & -1.58459 \tabularnewline
134 & 14 & 15.243 & -1.24302 \tabularnewline
135 & 15 & 14.0222 & 0.977825 \tabularnewline
136 & 13 & 11.5973 & 1.40267 \tabularnewline
137 & 15 & 14.4463 & 0.553704 \tabularnewline
138 & 11 & 13.5884 & -2.58841 \tabularnewline
139 & 12 & 14.7993 & -2.79932 \tabularnewline
140 & 11 & 14.2727 & -3.27272 \tabularnewline
141 & 16 & 14.6956 & 1.30437 \tabularnewline
142 & 15 & 14.7022 & 0.297778 \tabularnewline
143 & 17 & 14.3617 & 2.63827 \tabularnewline
144 & 16 & 13.3693 & 2.63073 \tabularnewline
145 & 10 & 14.9557 & -4.95567 \tabularnewline
146 & 18 & 13.9825 & 4.0175 \tabularnewline
147 & 13 & 14.2987 & -1.29874 \tabularnewline
148 & 16 & 13.8628 & 2.13719 \tabularnewline
149 & 13 & 13.052 & -0.0519681 \tabularnewline
150 & 10 & 15.5552 & -5.55519 \tabularnewline
151 & 15 & 14.7463 & 0.253749 \tabularnewline
152 & 16 & 15.4508 & 0.549207 \tabularnewline
153 & 16 & 14.7693 & 1.23066 \tabularnewline
154 & 14 & 13.4369 & 0.563113 \tabularnewline
155 & 10 & 13.511 & -3.51097 \tabularnewline
156 & 17 & 14.0371 & 2.9629 \tabularnewline
157 & 13 & 14.5242 & -1.5242 \tabularnewline
158 & 15 & 15.4789 & -0.478868 \tabularnewline
159 & 16 & 14.3974 & 1.60258 \tabularnewline
160 & 12 & 14.0017 & -2.00165 \tabularnewline
161 & 13 & 14.2352 & -1.2352 \tabularnewline
162 & 13 & 11.7064 & 1.29358 \tabularnewline
163 & 12 & 13.3589 & -1.35888 \tabularnewline
164 & 17 & 14.3089 & 2.69111 \tabularnewline
165 & 15 & 13.924 & 1.07601 \tabularnewline
166 & 10 & 12.1546 & -2.15457 \tabularnewline
167 & 14 & 14.161 & -0.161017 \tabularnewline
168 & 11 & 12.6507 & -1.65069 \tabularnewline
169 & 13 & 13.8343 & -0.834268 \tabularnewline
170 & 16 & 13.1431 & 2.85694 \tabularnewline
171 & 12 & 13.2947 & -1.29472 \tabularnewline
172 & 16 & 15.2317 & 0.768323 \tabularnewline
173 & 12 & 14.2851 & -2.2851 \tabularnewline
174 & 9 & 12.7437 & -3.74375 \tabularnewline
175 & 12 & 14.2479 & -2.24795 \tabularnewline
176 & 15 & 14.5757 & 0.424314 \tabularnewline
177 & 12 & 13.5167 & -1.51669 \tabularnewline
178 & 12 & 13.076 & -1.076 \tabularnewline
179 & 14 & 14.4836 & -0.48357 \tabularnewline
180 & 12 & 14.4414 & -2.44138 \tabularnewline
181 & 16 & 14.911 & 1.08898 \tabularnewline
182 & 11 & 14.2581 & -3.25811 \tabularnewline
183 & 19 & 14.7544 & 4.24558 \tabularnewline
184 & 15 & 14.7129 & 0.287081 \tabularnewline
185 & 8 & 13.5494 & -5.54936 \tabularnewline
186 & 16 & 13.8708 & 2.12917 \tabularnewline
187 & 17 & 14.4687 & 2.53126 \tabularnewline
188 & 12 & 14.6633 & -2.66333 \tabularnewline
189 & 11 & 13.225 & -2.22498 \tabularnewline
190 & 11 & 13.409 & -2.40897 \tabularnewline
191 & 14 & 14.0531 & -0.0531364 \tabularnewline
192 & 16 & 15.5158 & 0.484229 \tabularnewline
193 & 12 & 14.1927 & -2.19267 \tabularnewline
194 & 16 & 14.0961 & 1.90386 \tabularnewline
195 & 13 & 14.1728 & -1.17283 \tabularnewline
196 & 15 & 14.7918 & 0.208208 \tabularnewline
197 & 16 & 13.6423 & 2.35774 \tabularnewline
198 & 16 & 14.5051 & 1.49491 \tabularnewline
199 & 14 & 12.8791 & 1.12089 \tabularnewline
200 & 16 & 13.5841 & 2.41588 \tabularnewline
201 & 16 & 12.7053 & 3.29471 \tabularnewline
202 & 14 & 13.6419 & 0.358054 \tabularnewline
203 & 11 & 14.7377 & -3.73767 \tabularnewline
204 & 12 & 13.9948 & -1.99482 \tabularnewline
205 & 15 & 14.6765 & 0.323488 \tabularnewline
206 & 15 & 14.7776 & 0.222416 \tabularnewline
207 & 16 & 14.8695 & 1.13055 \tabularnewline
208 & 16 & 14.8284 & 1.17164 \tabularnewline
209 & 11 & 14.218 & -3.21798 \tabularnewline
210 & 15 & 14.7074 & 0.292553 \tabularnewline
211 & 12 & 13.252 & -1.25196 \tabularnewline
212 & 12 & 16.3217 & -4.3217 \tabularnewline
213 & 15 & 13.9516 & 1.0484 \tabularnewline
214 & 15 & 13.3785 & 1.6215 \tabularnewline
215 & 16 & 13.8149 & 2.1851 \tabularnewline
216 & 14 & 13.3053 & 0.694749 \tabularnewline
217 & 17 & 15.0777 & 1.92231 \tabularnewline
218 & 14 & 14.814 & -0.813992 \tabularnewline
219 & 13 & 13.0225 & -0.0224653 \tabularnewline
220 & 15 & 15.1209 & -0.120937 \tabularnewline
221 & 13 & 14.0168 & -1.01679 \tabularnewline
222 & 14 & 15.2541 & -1.25412 \tabularnewline
223 & 15 & 13.2406 & 1.75938 \tabularnewline
224 & 12 & 14.514 & -2.51404 \tabularnewline
225 & 13 & 13.2309 & -0.23095 \tabularnewline
226 & 8 & 15.0468 & -7.04675 \tabularnewline
227 & 14 & 14.9546 & -0.954638 \tabularnewline
228 & 14 & 14.1448 & -0.144758 \tabularnewline
229 & 11 & 12.6184 & -1.61843 \tabularnewline
230 & 12 & 14.0756 & -2.07558 \tabularnewline
231 & 13 & 14.1056 & -1.10556 \tabularnewline
232 & 10 & 13.7729 & -3.77287 \tabularnewline
233 & 16 & 14.7762 & 1.22385 \tabularnewline
234 & 18 & 14.2834 & 3.71658 \tabularnewline
235 & 13 & 14.8487 & -1.84865 \tabularnewline
236 & 11 & 13.7164 & -2.71644 \tabularnewline
237 & 4 & 13.5863 & -9.58633 \tabularnewline
238 & 13 & 13.6964 & -0.696358 \tabularnewline
239 & 16 & 13.3778 & 2.62222 \tabularnewline
240 & 10 & 13.8385 & -3.83853 \tabularnewline
241 & 12 & 13.7367 & -1.73667 \tabularnewline
242 & 12 & 13.2026 & -1.20263 \tabularnewline
243 & 10 & 12.9135 & -2.91352 \tabularnewline
244 & 13 & 13.8451 & -0.845121 \tabularnewline
245 & 15 & 14.3795 & 0.620513 \tabularnewline
246 & 12 & 13.2049 & -1.20493 \tabularnewline
247 & 14 & 14.0926 & -0.0925596 \tabularnewline
248 & 10 & 13.5433 & -3.54334 \tabularnewline
249 & 12 & 11.0355 & 0.964496 \tabularnewline
250 & 12 & 11.6809 & 0.319142 \tabularnewline
251 & 11 & 14.3121 & -3.31214 \tabularnewline
252 & 10 & 13.6919 & -3.69185 \tabularnewline
253 & 12 & 14.5599 & -2.5599 \tabularnewline
254 & 16 & 14.0139 & 1.98607 \tabularnewline
255 & 12 & 13.8874 & -1.8874 \tabularnewline
256 & 14 & 13.8642 & 0.13576 \tabularnewline
257 & 16 & 13.3927 & 2.60729 \tabularnewline
258 & 14 & 12.8869 & 1.11312 \tabularnewline
259 & 13 & 14.6 & -1.60004 \tabularnewline
260 & 4 & 13.8874 & -9.8874 \tabularnewline
261 & 15 & 13.6757 & 1.32426 \tabularnewline
262 & 11 & 15.0588 & -4.05882 \tabularnewline
263 & 11 & 13.218 & -2.21802 \tabularnewline
264 & 14 & 13.9993 & 0.000741687 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253620&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]13[/C][C]15.3382[/C][C]-2.33822[/C][/ROW]
[ROW][C]2[/C][C]16[/C][C]15.2954[/C][C]0.704556[/C][/ROW]
[ROW][C]3[/C][C]19[/C][C]13.7495[/C][C]5.25055[/C][/ROW]
[ROW][C]4[/C][C]15[/C][C]13.9216[/C][C]1.0784[/C][/ROW]
[ROW][C]5[/C][C]14[/C][C]14.3842[/C][C]-0.384183[/C][/ROW]
[ROW][C]6[/C][C]13[/C][C]14.6682[/C][C]-1.66825[/C][/ROW]
[ROW][C]7[/C][C]19[/C][C]13.7077[/C][C]5.29229[/C][/ROW]
[ROW][C]8[/C][C]15[/C][C]14.7882[/C][C]0.211784[/C][/ROW]
[ROW][C]9[/C][C]14[/C][C]15.0416[/C][C]-1.0416[/C][/ROW]
[ROW][C]10[/C][C]15[/C][C]15.1625[/C][C]-0.162504[/C][/ROW]
[ROW][C]11[/C][C]16[/C][C]15.0638[/C][C]0.936204[/C][/ROW]
[ROW][C]12[/C][C]16[/C][C]15.7039[/C][C]0.296075[/C][/ROW]
[ROW][C]13[/C][C]16[/C][C]14.0097[/C][C]1.99026[/C][/ROW]
[ROW][C]14[/C][C]16[/C][C]15.3552[/C][C]0.644802[/C][/ROW]
[ROW][C]15[/C][C]17[/C][C]15.5093[/C][C]1.49066[/C][/ROW]
[ROW][C]16[/C][C]15[/C][C]14.1228[/C][C]0.877221[/C][/ROW]
[ROW][C]17[/C][C]15[/C][C]14.268[/C][C]0.731969[/C][/ROW]
[ROW][C]18[/C][C]20[/C][C]15.6858[/C][C]4.31423[/C][/ROW]
[ROW][C]19[/C][C]18[/C][C]15.3765[/C][C]2.62354[/C][/ROW]
[ROW][C]20[/C][C]16[/C][C]14.4038[/C][C]1.59623[/C][/ROW]
[ROW][C]21[/C][C]16[/C][C]15.0868[/C][C]0.913232[/C][/ROW]
[ROW][C]22[/C][C]16[/C][C]13.4094[/C][C]2.59057[/C][/ROW]
[ROW][C]23[/C][C]19[/C][C]15.2154[/C][C]3.78458[/C][/ROW]
[ROW][C]24[/C][C]16[/C][C]14.7311[/C][C]1.26889[/C][/ROW]
[ROW][C]25[/C][C]17[/C][C]15.145[/C][C]1.85497[/C][/ROW]
[ROW][C]26[/C][C]17[/C][C]14.2256[/C][C]2.77441[/C][/ROW]
[ROW][C]27[/C][C]16[/C][C]15.1115[/C][C]0.888515[/C][/ROW]
[ROW][C]28[/C][C]15[/C][C]14.5051[/C][C]0.494914[/C][/ROW]
[ROW][C]29[/C][C]16[/C][C]14.3346[/C][C]1.66541[/C][/ROW]
[ROW][C]30[/C][C]14[/C][C]13.8749[/C][C]0.125129[/C][/ROW]
[ROW][C]31[/C][C]15[/C][C]14.5641[/C][C]0.435909[/C][/ROW]
[ROW][C]32[/C][C]12[/C][C]13.4845[/C][C]-1.48448[/C][/ROW]
[ROW][C]33[/C][C]14[/C][C]15.0024[/C][C]-1.00239[/C][/ROW]
[ROW][C]34[/C][C]16[/C][C]15.039[/C][C]0.961017[/C][/ROW]
[ROW][C]35[/C][C]14[/C][C]14.025[/C][C]-0.0250346[/C][/ROW]
[ROW][C]36[/C][C]10[/C][C]14.9067[/C][C]-4.90673[/C][/ROW]
[ROW][C]37[/C][C]10[/C][C]12.5027[/C][C]-2.50268[/C][/ROW]
[ROW][C]38[/C][C]14[/C][C]14.6798[/C][C]-0.67984[/C][/ROW]
[ROW][C]39[/C][C]16[/C][C]14.5112[/C][C]1.48882[/C][/ROW]
[ROW][C]40[/C][C]16[/C][C]14.4787[/C][C]1.52134[/C][/ROW]
[ROW][C]41[/C][C]16[/C][C]14.8824[/C][C]1.11755[/C][/ROW]
[ROW][C]42[/C][C]14[/C][C]14.5464[/C][C]-0.546405[/C][/ROW]
[ROW][C]43[/C][C]20[/C][C]15.1748[/C][C]4.82522[/C][/ROW]
[ROW][C]44[/C][C]14[/C][C]14.0062[/C][C]-0.00616304[/C][/ROW]
[ROW][C]45[/C][C]14[/C][C]14.3814[/C][C]-0.381383[/C][/ROW]
[ROW][C]46[/C][C]11[/C][C]14.2598[/C][C]-3.25979[/C][/ROW]
[ROW][C]47[/C][C]14[/C][C]15.6463[/C][C]-1.64635[/C][/ROW]
[ROW][C]48[/C][C]15[/C][C]14.6765[/C][C]0.323488[/C][/ROW]
[ROW][C]49[/C][C]16[/C][C]15.2409[/C][C]0.759119[/C][/ROW]
[ROW][C]50[/C][C]14[/C][C]14.482[/C][C]-0.481987[/C][/ROW]
[ROW][C]51[/C][C]16[/C][C]15.2475[/C][C]0.752533[/C][/ROW]
[ROW][C]52[/C][C]14[/C][C]13.8217[/C][C]0.178291[/C][/ROW]
[ROW][C]53[/C][C]12[/C][C]13.3495[/C][C]-1.34946[/C][/ROW]
[ROW][C]54[/C][C]16[/C][C]14.4465[/C][C]1.55346[/C][/ROW]
[ROW][C]55[/C][C]9[/C][C]13.9632[/C][C]-4.96316[/C][/ROW]
[ROW][C]56[/C][C]14[/C][C]14.7407[/C][C]-0.740652[/C][/ROW]
[ROW][C]57[/C][C]16[/C][C]15.0343[/C][C]0.965707[/C][/ROW]
[ROW][C]58[/C][C]16[/C][C]14.5919[/C][C]1.40805[/C][/ROW]
[ROW][C]59[/C][C]15[/C][C]14.7521[/C][C]0.247879[/C][/ROW]
[ROW][C]60[/C][C]16[/C][C]14.026[/C][C]1.974[/C][/ROW]
[ROW][C]61[/C][C]12[/C][C]12.1126[/C][C]-0.1126[/C][/ROW]
[ROW][C]62[/C][C]16[/C][C]14.6022[/C][C]1.39782[/C][/ROW]
[ROW][C]63[/C][C]16[/C][C]14.1561[/C][C]1.84389[/C][/ROW]
[ROW][C]64[/C][C]14[/C][C]14.2621[/C][C]-0.26209[/C][/ROW]
[ROW][C]65[/C][C]16[/C][C]14.2758[/C][C]1.7242[/C][/ROW]
[ROW][C]66[/C][C]17[/C][C]14.3483[/C][C]2.65167[/C][/ROW]
[ROW][C]67[/C][C]18[/C][C]13.8763[/C][C]4.1237[/C][/ROW]
[ROW][C]68[/C][C]18[/C][C]13.2581[/C][C]4.74194[/C][/ROW]
[ROW][C]69[/C][C]12[/C][C]15.486[/C][C]-3.48602[/C][/ROW]
[ROW][C]70[/C][C]16[/C][C]14.8588[/C][C]1.14118[/C][/ROW]
[ROW][C]71[/C][C]10[/C][C]14.8728[/C][C]-4.87278[/C][/ROW]
[ROW][C]72[/C][C]14[/C][C]14.7835[/C][C]-0.78346[/C][/ROW]
[ROW][C]73[/C][C]18[/C][C]15.0787[/C][C]2.92135[/C][/ROW]
[ROW][C]74[/C][C]18[/C][C]15.7665[/C][C]2.23346[/C][/ROW]
[ROW][C]75[/C][C]16[/C][C]13.7346[/C][C]2.2654[/C][/ROW]
[ROW][C]76[/C][C]17[/C][C]13.5481[/C][C]3.4519[/C][/ROW]
[ROW][C]77[/C][C]16[/C][C]15.363[/C][C]0.637031[/C][/ROW]
[ROW][C]78[/C][C]16[/C][C]13.6529[/C][C]2.3471[/C][/ROW]
[ROW][C]79[/C][C]13[/C][C]13.9074[/C][C]-0.90739[/C][/ROW]
[ROW][C]80[/C][C]16[/C][C]14.0798[/C][C]1.92016[/C][/ROW]
[ROW][C]81[/C][C]16[/C][C]14.8772[/C][C]1.12278[/C][/ROW]
[ROW][C]82[/C][C]16[/C][C]15.2614[/C][C]0.738573[/C][/ROW]
[ROW][C]83[/C][C]15[/C][C]14.8917[/C][C]0.108347[/C][/ROW]
[ROW][C]84[/C][C]15[/C][C]14.5346[/C][C]0.465412[/C][/ROW]
[ROW][C]85[/C][C]16[/C][C]14.064[/C][C]1.93601[/C][/ROW]
[ROW][C]86[/C][C]14[/C][C]15.3243[/C][C]-1.32426[/C][/ROW]
[ROW][C]87[/C][C]16[/C][C]14.4456[/C][C]1.55442[/C][/ROW]
[ROW][C]88[/C][C]16[/C][C]13.6073[/C][C]2.39272[/C][/ROW]
[ROW][C]89[/C][C]15[/C][C]12.4871[/C][C]2.51286[/C][/ROW]
[ROW][C]90[/C][C]12[/C][C]14.8942[/C][C]-2.8942[/C][/ROW]
[ROW][C]91[/C][C]17[/C][C]14.0371[/C][C]2.9629[/C][/ROW]
[ROW][C]92[/C][C]16[/C][C]15.3408[/C][C]0.659231[/C][/ROW]
[ROW][C]93[/C][C]15[/C][C]13.5405[/C][C]1.45952[/C][/ROW]
[ROW][C]94[/C][C]13[/C][C]13.6079[/C][C]-0.607874[/C][/ROW]
[ROW][C]95[/C][C]16[/C][C]15.396[/C][C]0.603952[/C][/ROW]
[ROW][C]96[/C][C]16[/C][C]14.1686[/C][C]1.83136[/C][/ROW]
[ROW][C]97[/C][C]16[/C][C]14.3478[/C][C]1.65216[/C][/ROW]
[ROW][C]98[/C][C]16[/C][C]15.2229[/C][C]0.777058[/C][/ROW]
[ROW][C]99[/C][C]14[/C][C]14.8963[/C][C]-0.896344[/C][/ROW]
[ROW][C]100[/C][C]16[/C][C]15.5656[/C][C]0.434422[/C][/ROW]
[ROW][C]101[/C][C]16[/C][C]14.1686[/C][C]1.83136[/C][/ROW]
[ROW][C]102[/C][C]20[/C][C]15.2317[/C][C]4.76832[/C][/ROW]
[ROW][C]103[/C][C]15[/C][C]13.4113[/C][C]1.58867[/C][/ROW]
[ROW][C]104[/C][C]16[/C][C]14.7757[/C][C]1.22431[/C][/ROW]
[ROW][C]105[/C][C]13[/C][C]13.359[/C][C]-0.358978[/C][/ROW]
[ROW][C]106[/C][C]17[/C][C]15.2343[/C][C]1.76571[/C][/ROW]
[ROW][C]107[/C][C]16[/C][C]15.2669[/C][C]0.733095[/C][/ROW]
[ROW][C]108[/C][C]16[/C][C]13.8869[/C][C]2.11306[/C][/ROW]
[ROW][C]109[/C][C]12[/C][C]14.2946[/C][C]-2.29455[/C][/ROW]
[ROW][C]110[/C][C]16[/C][C]14.2507[/C][C]1.74926[/C][/ROW]
[ROW][C]111[/C][C]16[/C][C]13.5296[/C][C]2.47038[/C][/ROW]
[ROW][C]112[/C][C]17[/C][C]15.0168[/C][C]1.98322[/C][/ROW]
[ROW][C]113[/C][C]13[/C][C]14.0423[/C][C]-1.04226[/C][/ROW]
[ROW][C]114[/C][C]12[/C][C]15.2928[/C][C]-3.29283[/C][/ROW]
[ROW][C]115[/C][C]18[/C][C]14.9523[/C][C]3.04766[/C][/ROW]
[ROW][C]116[/C][C]14[/C][C]14.8867[/C][C]-0.886676[/C][/ROW]
[ROW][C]117[/C][C]14[/C][C]15.0286[/C][C]-1.0286[/C][/ROW]
[ROW][C]118[/C][C]13[/C][C]14.7875[/C][C]-1.7875[/C][/ROW]
[ROW][C]119[/C][C]16[/C][C]14.7117[/C][C]1.28826[/C][/ROW]
[ROW][C]120[/C][C]13[/C][C]14.2043[/C][C]-1.20426[/C][/ROW]
[ROW][C]121[/C][C]16[/C][C]13.4592[/C][C]2.54076[/C][/ROW]
[ROW][C]122[/C][C]13[/C][C]15.4853[/C][C]-2.4853[/C][/ROW]
[ROW][C]123[/C][C]16[/C][C]15.5651[/C][C]0.434891[/C][/ROW]
[ROW][C]124[/C][C]15[/C][C]14.5596[/C][C]0.440352[/C][/ROW]
[ROW][C]125[/C][C]16[/C][C]14.1525[/C][C]1.84747[/C][/ROW]
[ROW][C]126[/C][C]15[/C][C]15.3866[/C][C]-0.386596[/C][/ROW]
[ROW][C]127[/C][C]17[/C][C]16.2351[/C][C]0.76494[/C][/ROW]
[ROW][C]128[/C][C]15[/C][C]15.4789[/C][C]-0.478868[/C][/ROW]
[ROW][C]129[/C][C]12[/C][C]14.5379[/C][C]-2.53792[/C][/ROW]
[ROW][C]130[/C][C]16[/C][C]14.2139[/C][C]1.78607[/C][/ROW]
[ROW][C]131[/C][C]10[/C][C]12.5416[/C][C]-2.54163[/C][/ROW]
[ROW][C]132[/C][C]16[/C][C]15.4879[/C][C]0.512083[/C][/ROW]
[ROW][C]133[/C][C]12[/C][C]13.5846[/C][C]-1.58459[/C][/ROW]
[ROW][C]134[/C][C]14[/C][C]15.243[/C][C]-1.24302[/C][/ROW]
[ROW][C]135[/C][C]15[/C][C]14.0222[/C][C]0.977825[/C][/ROW]
[ROW][C]136[/C][C]13[/C][C]11.5973[/C][C]1.40267[/C][/ROW]
[ROW][C]137[/C][C]15[/C][C]14.4463[/C][C]0.553704[/C][/ROW]
[ROW][C]138[/C][C]11[/C][C]13.5884[/C][C]-2.58841[/C][/ROW]
[ROW][C]139[/C][C]12[/C][C]14.7993[/C][C]-2.79932[/C][/ROW]
[ROW][C]140[/C][C]11[/C][C]14.2727[/C][C]-3.27272[/C][/ROW]
[ROW][C]141[/C][C]16[/C][C]14.6956[/C][C]1.30437[/C][/ROW]
[ROW][C]142[/C][C]15[/C][C]14.7022[/C][C]0.297778[/C][/ROW]
[ROW][C]143[/C][C]17[/C][C]14.3617[/C][C]2.63827[/C][/ROW]
[ROW][C]144[/C][C]16[/C][C]13.3693[/C][C]2.63073[/C][/ROW]
[ROW][C]145[/C][C]10[/C][C]14.9557[/C][C]-4.95567[/C][/ROW]
[ROW][C]146[/C][C]18[/C][C]13.9825[/C][C]4.0175[/C][/ROW]
[ROW][C]147[/C][C]13[/C][C]14.2987[/C][C]-1.29874[/C][/ROW]
[ROW][C]148[/C][C]16[/C][C]13.8628[/C][C]2.13719[/C][/ROW]
[ROW][C]149[/C][C]13[/C][C]13.052[/C][C]-0.0519681[/C][/ROW]
[ROW][C]150[/C][C]10[/C][C]15.5552[/C][C]-5.55519[/C][/ROW]
[ROW][C]151[/C][C]15[/C][C]14.7463[/C][C]0.253749[/C][/ROW]
[ROW][C]152[/C][C]16[/C][C]15.4508[/C][C]0.549207[/C][/ROW]
[ROW][C]153[/C][C]16[/C][C]14.7693[/C][C]1.23066[/C][/ROW]
[ROW][C]154[/C][C]14[/C][C]13.4369[/C][C]0.563113[/C][/ROW]
[ROW][C]155[/C][C]10[/C][C]13.511[/C][C]-3.51097[/C][/ROW]
[ROW][C]156[/C][C]17[/C][C]14.0371[/C][C]2.9629[/C][/ROW]
[ROW][C]157[/C][C]13[/C][C]14.5242[/C][C]-1.5242[/C][/ROW]
[ROW][C]158[/C][C]15[/C][C]15.4789[/C][C]-0.478868[/C][/ROW]
[ROW][C]159[/C][C]16[/C][C]14.3974[/C][C]1.60258[/C][/ROW]
[ROW][C]160[/C][C]12[/C][C]14.0017[/C][C]-2.00165[/C][/ROW]
[ROW][C]161[/C][C]13[/C][C]14.2352[/C][C]-1.2352[/C][/ROW]
[ROW][C]162[/C][C]13[/C][C]11.7064[/C][C]1.29358[/C][/ROW]
[ROW][C]163[/C][C]12[/C][C]13.3589[/C][C]-1.35888[/C][/ROW]
[ROW][C]164[/C][C]17[/C][C]14.3089[/C][C]2.69111[/C][/ROW]
[ROW][C]165[/C][C]15[/C][C]13.924[/C][C]1.07601[/C][/ROW]
[ROW][C]166[/C][C]10[/C][C]12.1546[/C][C]-2.15457[/C][/ROW]
[ROW][C]167[/C][C]14[/C][C]14.161[/C][C]-0.161017[/C][/ROW]
[ROW][C]168[/C][C]11[/C][C]12.6507[/C][C]-1.65069[/C][/ROW]
[ROW][C]169[/C][C]13[/C][C]13.8343[/C][C]-0.834268[/C][/ROW]
[ROW][C]170[/C][C]16[/C][C]13.1431[/C][C]2.85694[/C][/ROW]
[ROW][C]171[/C][C]12[/C][C]13.2947[/C][C]-1.29472[/C][/ROW]
[ROW][C]172[/C][C]16[/C][C]15.2317[/C][C]0.768323[/C][/ROW]
[ROW][C]173[/C][C]12[/C][C]14.2851[/C][C]-2.2851[/C][/ROW]
[ROW][C]174[/C][C]9[/C][C]12.7437[/C][C]-3.74375[/C][/ROW]
[ROW][C]175[/C][C]12[/C][C]14.2479[/C][C]-2.24795[/C][/ROW]
[ROW][C]176[/C][C]15[/C][C]14.5757[/C][C]0.424314[/C][/ROW]
[ROW][C]177[/C][C]12[/C][C]13.5167[/C][C]-1.51669[/C][/ROW]
[ROW][C]178[/C][C]12[/C][C]13.076[/C][C]-1.076[/C][/ROW]
[ROW][C]179[/C][C]14[/C][C]14.4836[/C][C]-0.48357[/C][/ROW]
[ROW][C]180[/C][C]12[/C][C]14.4414[/C][C]-2.44138[/C][/ROW]
[ROW][C]181[/C][C]16[/C][C]14.911[/C][C]1.08898[/C][/ROW]
[ROW][C]182[/C][C]11[/C][C]14.2581[/C][C]-3.25811[/C][/ROW]
[ROW][C]183[/C][C]19[/C][C]14.7544[/C][C]4.24558[/C][/ROW]
[ROW][C]184[/C][C]15[/C][C]14.7129[/C][C]0.287081[/C][/ROW]
[ROW][C]185[/C][C]8[/C][C]13.5494[/C][C]-5.54936[/C][/ROW]
[ROW][C]186[/C][C]16[/C][C]13.8708[/C][C]2.12917[/C][/ROW]
[ROW][C]187[/C][C]17[/C][C]14.4687[/C][C]2.53126[/C][/ROW]
[ROW][C]188[/C][C]12[/C][C]14.6633[/C][C]-2.66333[/C][/ROW]
[ROW][C]189[/C][C]11[/C][C]13.225[/C][C]-2.22498[/C][/ROW]
[ROW][C]190[/C][C]11[/C][C]13.409[/C][C]-2.40897[/C][/ROW]
[ROW][C]191[/C][C]14[/C][C]14.0531[/C][C]-0.0531364[/C][/ROW]
[ROW][C]192[/C][C]16[/C][C]15.5158[/C][C]0.484229[/C][/ROW]
[ROW][C]193[/C][C]12[/C][C]14.1927[/C][C]-2.19267[/C][/ROW]
[ROW][C]194[/C][C]16[/C][C]14.0961[/C][C]1.90386[/C][/ROW]
[ROW][C]195[/C][C]13[/C][C]14.1728[/C][C]-1.17283[/C][/ROW]
[ROW][C]196[/C][C]15[/C][C]14.7918[/C][C]0.208208[/C][/ROW]
[ROW][C]197[/C][C]16[/C][C]13.6423[/C][C]2.35774[/C][/ROW]
[ROW][C]198[/C][C]16[/C][C]14.5051[/C][C]1.49491[/C][/ROW]
[ROW][C]199[/C][C]14[/C][C]12.8791[/C][C]1.12089[/C][/ROW]
[ROW][C]200[/C][C]16[/C][C]13.5841[/C][C]2.41588[/C][/ROW]
[ROW][C]201[/C][C]16[/C][C]12.7053[/C][C]3.29471[/C][/ROW]
[ROW][C]202[/C][C]14[/C][C]13.6419[/C][C]0.358054[/C][/ROW]
[ROW][C]203[/C][C]11[/C][C]14.7377[/C][C]-3.73767[/C][/ROW]
[ROW][C]204[/C][C]12[/C][C]13.9948[/C][C]-1.99482[/C][/ROW]
[ROW][C]205[/C][C]15[/C][C]14.6765[/C][C]0.323488[/C][/ROW]
[ROW][C]206[/C][C]15[/C][C]14.7776[/C][C]0.222416[/C][/ROW]
[ROW][C]207[/C][C]16[/C][C]14.8695[/C][C]1.13055[/C][/ROW]
[ROW][C]208[/C][C]16[/C][C]14.8284[/C][C]1.17164[/C][/ROW]
[ROW][C]209[/C][C]11[/C][C]14.218[/C][C]-3.21798[/C][/ROW]
[ROW][C]210[/C][C]15[/C][C]14.7074[/C][C]0.292553[/C][/ROW]
[ROW][C]211[/C][C]12[/C][C]13.252[/C][C]-1.25196[/C][/ROW]
[ROW][C]212[/C][C]12[/C][C]16.3217[/C][C]-4.3217[/C][/ROW]
[ROW][C]213[/C][C]15[/C][C]13.9516[/C][C]1.0484[/C][/ROW]
[ROW][C]214[/C][C]15[/C][C]13.3785[/C][C]1.6215[/C][/ROW]
[ROW][C]215[/C][C]16[/C][C]13.8149[/C][C]2.1851[/C][/ROW]
[ROW][C]216[/C][C]14[/C][C]13.3053[/C][C]0.694749[/C][/ROW]
[ROW][C]217[/C][C]17[/C][C]15.0777[/C][C]1.92231[/C][/ROW]
[ROW][C]218[/C][C]14[/C][C]14.814[/C][C]-0.813992[/C][/ROW]
[ROW][C]219[/C][C]13[/C][C]13.0225[/C][C]-0.0224653[/C][/ROW]
[ROW][C]220[/C][C]15[/C][C]15.1209[/C][C]-0.120937[/C][/ROW]
[ROW][C]221[/C][C]13[/C][C]14.0168[/C][C]-1.01679[/C][/ROW]
[ROW][C]222[/C][C]14[/C][C]15.2541[/C][C]-1.25412[/C][/ROW]
[ROW][C]223[/C][C]15[/C][C]13.2406[/C][C]1.75938[/C][/ROW]
[ROW][C]224[/C][C]12[/C][C]14.514[/C][C]-2.51404[/C][/ROW]
[ROW][C]225[/C][C]13[/C][C]13.2309[/C][C]-0.23095[/C][/ROW]
[ROW][C]226[/C][C]8[/C][C]15.0468[/C][C]-7.04675[/C][/ROW]
[ROW][C]227[/C][C]14[/C][C]14.9546[/C][C]-0.954638[/C][/ROW]
[ROW][C]228[/C][C]14[/C][C]14.1448[/C][C]-0.144758[/C][/ROW]
[ROW][C]229[/C][C]11[/C][C]12.6184[/C][C]-1.61843[/C][/ROW]
[ROW][C]230[/C][C]12[/C][C]14.0756[/C][C]-2.07558[/C][/ROW]
[ROW][C]231[/C][C]13[/C][C]14.1056[/C][C]-1.10556[/C][/ROW]
[ROW][C]232[/C][C]10[/C][C]13.7729[/C][C]-3.77287[/C][/ROW]
[ROW][C]233[/C][C]16[/C][C]14.7762[/C][C]1.22385[/C][/ROW]
[ROW][C]234[/C][C]18[/C][C]14.2834[/C][C]3.71658[/C][/ROW]
[ROW][C]235[/C][C]13[/C][C]14.8487[/C][C]-1.84865[/C][/ROW]
[ROW][C]236[/C][C]11[/C][C]13.7164[/C][C]-2.71644[/C][/ROW]
[ROW][C]237[/C][C]4[/C][C]13.5863[/C][C]-9.58633[/C][/ROW]
[ROW][C]238[/C][C]13[/C][C]13.6964[/C][C]-0.696358[/C][/ROW]
[ROW][C]239[/C][C]16[/C][C]13.3778[/C][C]2.62222[/C][/ROW]
[ROW][C]240[/C][C]10[/C][C]13.8385[/C][C]-3.83853[/C][/ROW]
[ROW][C]241[/C][C]12[/C][C]13.7367[/C][C]-1.73667[/C][/ROW]
[ROW][C]242[/C][C]12[/C][C]13.2026[/C][C]-1.20263[/C][/ROW]
[ROW][C]243[/C][C]10[/C][C]12.9135[/C][C]-2.91352[/C][/ROW]
[ROW][C]244[/C][C]13[/C][C]13.8451[/C][C]-0.845121[/C][/ROW]
[ROW][C]245[/C][C]15[/C][C]14.3795[/C][C]0.620513[/C][/ROW]
[ROW][C]246[/C][C]12[/C][C]13.2049[/C][C]-1.20493[/C][/ROW]
[ROW][C]247[/C][C]14[/C][C]14.0926[/C][C]-0.0925596[/C][/ROW]
[ROW][C]248[/C][C]10[/C][C]13.5433[/C][C]-3.54334[/C][/ROW]
[ROW][C]249[/C][C]12[/C][C]11.0355[/C][C]0.964496[/C][/ROW]
[ROW][C]250[/C][C]12[/C][C]11.6809[/C][C]0.319142[/C][/ROW]
[ROW][C]251[/C][C]11[/C][C]14.3121[/C][C]-3.31214[/C][/ROW]
[ROW][C]252[/C][C]10[/C][C]13.6919[/C][C]-3.69185[/C][/ROW]
[ROW][C]253[/C][C]12[/C][C]14.5599[/C][C]-2.5599[/C][/ROW]
[ROW][C]254[/C][C]16[/C][C]14.0139[/C][C]1.98607[/C][/ROW]
[ROW][C]255[/C][C]12[/C][C]13.8874[/C][C]-1.8874[/C][/ROW]
[ROW][C]256[/C][C]14[/C][C]13.8642[/C][C]0.13576[/C][/ROW]
[ROW][C]257[/C][C]16[/C][C]13.3927[/C][C]2.60729[/C][/ROW]
[ROW][C]258[/C][C]14[/C][C]12.8869[/C][C]1.11312[/C][/ROW]
[ROW][C]259[/C][C]13[/C][C]14.6[/C][C]-1.60004[/C][/ROW]
[ROW][C]260[/C][C]4[/C][C]13.8874[/C][C]-9.8874[/C][/ROW]
[ROW][C]261[/C][C]15[/C][C]13.6757[/C][C]1.32426[/C][/ROW]
[ROW][C]262[/C][C]11[/C][C]15.0588[/C][C]-4.05882[/C][/ROW]
[ROW][C]263[/C][C]11[/C][C]13.218[/C][C]-2.21802[/C][/ROW]
[ROW][C]264[/C][C]14[/C][C]13.9993[/C][C]0.000741687[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253620&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253620&T=4

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


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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
11315.3382-2.33822
21615.29540.704556
31913.74955.25055
41513.92161.0784
51414.3842-0.384183
61314.6682-1.66825
71913.70775.29229
81514.78820.211784
91415.0416-1.0416
101515.1625-0.162504
111615.06380.936204
121615.70390.296075
131614.00971.99026
141615.35520.644802
151715.50931.49066
161514.12280.877221
171514.2680.731969
182015.68584.31423
191815.37652.62354
201614.40381.59623
211615.08680.913232
221613.40942.59057
231915.21543.78458
241614.73111.26889
251715.1451.85497
261714.22562.77441
271615.11150.888515
281514.50510.494914
291614.33461.66541
301413.87490.125129
311514.56410.435909
321213.4845-1.48448
331415.0024-1.00239
341615.0390.961017
351414.025-0.0250346
361014.9067-4.90673
371012.5027-2.50268
381414.6798-0.67984
391614.51121.48882
401614.47871.52134
411614.88241.11755
421414.5464-0.546405
432015.17484.82522
441414.0062-0.00616304
451414.3814-0.381383
461114.2598-3.25979
471415.6463-1.64635
481514.67650.323488
491615.24090.759119
501414.482-0.481987
511615.24750.752533
521413.82170.178291
531213.3495-1.34946
541614.44651.55346
55913.9632-4.96316
561414.7407-0.740652
571615.03430.965707
581614.59191.40805
591514.75210.247879
601614.0261.974
611212.1126-0.1126
621614.60221.39782
631614.15611.84389
641414.2621-0.26209
651614.27581.7242
661714.34832.65167
671813.87634.1237
681813.25814.74194
691215.486-3.48602
701614.85881.14118
711014.8728-4.87278
721414.7835-0.78346
731815.07872.92135
741815.76652.23346
751613.73462.2654
761713.54813.4519
771615.3630.637031
781613.65292.3471
791313.9074-0.90739
801614.07981.92016
811614.87721.12278
821615.26140.738573
831514.89170.108347
841514.53460.465412
851614.0641.93601
861415.3243-1.32426
871614.44561.55442
881613.60732.39272
891512.48712.51286
901214.8942-2.8942
911714.03712.9629
921615.34080.659231
931513.54051.45952
941313.6079-0.607874
951615.3960.603952
961614.16861.83136
971614.34781.65216
981615.22290.777058
991414.8963-0.896344
1001615.56560.434422
1011614.16861.83136
1022015.23174.76832
1031513.41131.58867
1041614.77571.22431
1051313.359-0.358978
1061715.23431.76571
1071615.26690.733095
1081613.88692.11306
1091214.2946-2.29455
1101614.25071.74926
1111613.52962.47038
1121715.01681.98322
1131314.0423-1.04226
1141215.2928-3.29283
1151814.95233.04766
1161414.8867-0.886676
1171415.0286-1.0286
1181314.7875-1.7875
1191614.71171.28826
1201314.2043-1.20426
1211613.45922.54076
1221315.4853-2.4853
1231615.56510.434891
1241514.55960.440352
1251614.15251.84747
1261515.3866-0.386596
1271716.23510.76494
1281515.4789-0.478868
1291214.5379-2.53792
1301614.21391.78607
1311012.5416-2.54163
1321615.48790.512083
1331213.5846-1.58459
1341415.243-1.24302
1351514.02220.977825
1361311.59731.40267
1371514.44630.553704
1381113.5884-2.58841
1391214.7993-2.79932
1401114.2727-3.27272
1411614.69561.30437
1421514.70220.297778
1431714.36172.63827
1441613.36932.63073
1451014.9557-4.95567
1461813.98254.0175
1471314.2987-1.29874
1481613.86282.13719
1491313.052-0.0519681
1501015.5552-5.55519
1511514.74630.253749
1521615.45080.549207
1531614.76931.23066
1541413.43690.563113
1551013.511-3.51097
1561714.03712.9629
1571314.5242-1.5242
1581515.4789-0.478868
1591614.39741.60258
1601214.0017-2.00165
1611314.2352-1.2352
1621311.70641.29358
1631213.3589-1.35888
1641714.30892.69111
1651513.9241.07601
1661012.1546-2.15457
1671414.161-0.161017
1681112.6507-1.65069
1691313.8343-0.834268
1701613.14312.85694
1711213.2947-1.29472
1721615.23170.768323
1731214.2851-2.2851
174912.7437-3.74375
1751214.2479-2.24795
1761514.57570.424314
1771213.5167-1.51669
1781213.076-1.076
1791414.4836-0.48357
1801214.4414-2.44138
1811614.9111.08898
1821114.2581-3.25811
1831914.75444.24558
1841514.71290.287081
185813.5494-5.54936
1861613.87082.12917
1871714.46872.53126
1881214.6633-2.66333
1891113.225-2.22498
1901113.409-2.40897
1911414.0531-0.0531364
1921615.51580.484229
1931214.1927-2.19267
1941614.09611.90386
1951314.1728-1.17283
1961514.79180.208208
1971613.64232.35774
1981614.50511.49491
1991412.87911.12089
2001613.58412.41588
2011612.70533.29471
2021413.64190.358054
2031114.7377-3.73767
2041213.9948-1.99482
2051514.67650.323488
2061514.77760.222416
2071614.86951.13055
2081614.82841.17164
2091114.218-3.21798
2101514.70740.292553
2111213.252-1.25196
2121216.3217-4.3217
2131513.95161.0484
2141513.37851.6215
2151613.81492.1851
2161413.30530.694749
2171715.07771.92231
2181414.814-0.813992
2191313.0225-0.0224653
2201515.1209-0.120937
2211314.0168-1.01679
2221415.2541-1.25412
2231513.24061.75938
2241214.514-2.51404
2251313.2309-0.23095
226815.0468-7.04675
2271414.9546-0.954638
2281414.1448-0.144758
2291112.6184-1.61843
2301214.0756-2.07558
2311314.1056-1.10556
2321013.7729-3.77287
2331614.77621.22385
2341814.28343.71658
2351314.8487-1.84865
2361113.7164-2.71644
237413.5863-9.58633
2381313.6964-0.696358
2391613.37782.62222
2401013.8385-3.83853
2411213.7367-1.73667
2421213.2026-1.20263
2431012.9135-2.91352
2441313.8451-0.845121
2451514.37950.620513
2461213.2049-1.20493
2471414.0926-0.0925596
2481013.5433-3.54334
2491211.03550.964496
2501211.68090.319142
2511114.3121-3.31214
2521013.6919-3.69185
2531214.5599-2.5599
2541614.01391.98607
2551213.8874-1.8874
2561413.86420.13576
2571613.39272.60729
2581412.88691.11312
2591314.6-1.60004
260413.8874-9.8874
2611513.67571.32426
2621115.0588-4.05882
2631113.218-2.21802
2641413.99930.000741687






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.6651270.6697450.334873
90.5052810.9894380.494719
100.3996570.7993150.600343
110.3218210.6436430.678179
120.4167570.8335150.583243
130.3255840.6511670.674416
140.277950.5559010.72205
150.2961110.5922230.703889
160.2415070.4830140.758493
170.185570.371140.81443
180.4455470.8910940.554453
190.4303750.8607490.569625
200.3587550.7175110.641245
210.2924790.5849590.707521
220.2353930.4707850.764607
230.2631790.5263580.736821
240.2157930.4315870.784207
250.1835520.3671050.816448
260.1472030.2944050.852797
270.1118660.2237330.888134
280.09000290.1800060.909997
290.0672990.1345980.932701
300.0647030.1294060.935297
310.04715740.09431480.952843
320.05856280.1171260.941437
330.0524190.1048380.947581
340.0383330.07666610.961667
350.03008920.06017840.969911
360.1050950.2101890.894905
370.1762820.3525640.823718
380.1557960.3115920.844204
390.1540610.3081210.845939
400.1288670.2577340.871133
410.1044420.2088840.895558
420.08735910.1747180.912641
430.1528760.3057530.847124
440.1315720.2631430.868428
450.1146810.2293620.885319
460.2085910.4171820.791409
470.2193390.4386770.780661
480.185070.370140.81493
490.1552110.3104230.844789
500.1375910.2751830.862409
510.1144230.2288460.885577
520.09314460.1862890.906855
530.08760480.175210.912395
540.07368290.1473660.926317
550.164860.329720.83514
560.1513560.3027120.848644
570.1277850.2555690.872215
580.1177930.2355850.882207
590.09772070.1954410.902279
600.08798860.1759770.912011
610.07154880.1430980.928451
620.05965590.1193120.940344
630.05309210.1061840.946908
640.04274020.08548040.95726
650.03762990.07525970.96237
660.03718430.07436870.962816
670.05022370.1004470.949776
680.1053910.2107820.894609
690.161890.3237810.83811
700.1407040.2814070.859296
710.2789740.5579490.721026
720.2498840.4997680.750116
730.2645510.5291030.735449
740.2551790.5103580.744821
750.244090.488180.75591
760.2570610.5141220.742939
770.2273150.454630.772685
780.2166010.4332010.783399
790.1943910.3887830.805609
800.1798060.3596120.820194
810.1595910.3191820.840409
820.1385980.2771970.861402
830.1198370.2396730.880163
840.1018560.2037130.898144
850.09366110.1873220.906339
860.08755620.1751120.912444
870.07785310.1557060.922147
880.07581220.1516240.924188
890.06992920.1398580.930071
900.0796630.1593260.920337
910.08247120.1649420.917529
920.06979290.1395860.930207
930.06072630.1214530.939274
940.05235520.104710.947645
950.04376780.08753560.956232
960.03870550.0774110.961295
970.03429230.06858450.965708
980.02849580.05699150.971504
990.0238240.04764790.976176
1000.01934530.03869050.980655
1010.01691860.03383730.983081
1020.03650840.07301680.963492
1030.0322320.06446390.967768
1040.02737250.0547450.972628
1050.02673710.05347420.973263
1060.02456250.0491250.975437
1070.02052040.04104080.97948
1080.01898740.03797480.981013
1090.02379250.04758510.976207
1100.02140510.04281020.978595
1110.02105870.04211740.978941
1120.01988050.03976110.980119
1130.0176030.0352060.982397
1140.02400980.04801960.97599
1150.02898650.0579730.971013
1160.024640.04928010.97536
1170.0211330.0422660.978867
1180.02073150.0414630.979269
1190.01799270.03598540.982007
1200.01602530.03205070.983975
1210.01641910.03283820.983581
1220.01768350.03536710.982316
1230.01453880.02907760.985461
1240.01217330.02434660.987827
1250.01117450.0223490.988826
1260.009461030.01892210.990539
1270.008187640.01637530.991812
1280.006421080.01284220.993579
1290.007441290.01488260.992559
1300.006819130.01363830.993181
1310.008919650.01783930.99108
1320.007527250.01505450.992473
1330.006915890.01383180.993084
1340.005861570.01172310.994138
1350.004851840.009703680.995148
1360.003991230.007982460.996009
1370.003146090.006292190.996854
1380.003786860.007573720.996213
1390.004537060.009074120.995463
1400.006308190.01261640.993692
1410.005476960.01095390.994523
1420.004282990.008565970.995717
1430.004811060.009622120.995189
1440.005899350.01179870.994101
1450.0149810.0299620.985019
1460.02769610.05539220.972304
1470.02475170.04950330.975248
1480.0256540.0513080.974346
1490.02151920.04303830.978481
1500.05396080.1079220.946039
1510.04610410.09220830.953896
1520.03908030.07816060.96092
1530.03435730.06871460.965643
1540.02939630.05879260.970604
1550.03989980.07979960.9601
1560.05069770.1013950.949302
1570.04602370.09204740.953976
1580.03803230.07606460.961968
1590.03898850.0779770.961011
1600.03949360.07898720.960506
1610.03445840.06891680.965542
1620.02950060.05900130.970499
1630.02713520.05427050.972865
1640.03315340.06630680.966847
1650.0277550.05550990.972245
1660.03101910.06203810.968981
1670.02532040.05064090.97468
1680.0234750.046950.976525
1690.01978210.03956420.980218
1700.01991790.03983580.980082
1710.01735170.03470330.982648
1720.01471630.02943250.985284
1730.01477890.02955780.985221
1740.02055350.04110690.979447
1750.01925660.03851320.980743
1760.01599410.03198810.984006
1770.01396970.02793950.98603
1780.01157270.02314540.988427
1790.009288650.01857730.990711
1800.009005110.01801020.990995
1810.008129340.01625870.991871
1820.009008510.0180170.990991
1830.01750940.03501880.982491
1840.01653610.03307210.983464
1850.04937690.09875380.950623
1860.04594680.09189370.954053
1870.05703450.1140690.942966
1880.05387390.1077480.946126
1890.05159950.1031990.948401
1900.05788160.1157630.942118
1910.04757170.09514330.952428
1920.04338950.0867790.95661
1930.04120890.08241780.958791
1940.04062990.08125990.95937
1950.03372640.06745280.966274
1960.02981660.05963330.970183
1970.03145760.06291510.968542
1980.02807880.05615760.971921
1990.02403430.04806860.975966
2000.0233380.0466760.976662
2010.03188560.06377130.968114
2020.02523590.05047180.974764
2030.02860580.05721150.971394
2040.0245670.04913390.975433
2050.02053570.04107140.979464
2060.01654420.03308840.983456
2070.01585290.03170580.984147
2080.01417180.02834350.985828
2090.01408070.02816140.985919
2100.01179790.02359580.988202
2110.009275850.01855170.990724
2120.01111560.02223120.988884
2130.008750490.0175010.99125
2140.008864730.01772950.991135
2150.01047880.02095750.989521
2160.008530320.01706060.99147
2170.009880330.01976070.99012
2180.008282320.01656460.991718
2190.006214060.01242810.993786
2200.00484570.00969140.995154
2210.003796670.007593340.996203
2220.002894710.005789430.997105
2230.003168550.006337110.996831
2240.002498430.004996860.997502
2250.001753690.003507390.998246
2260.01098030.02196070.98902
2270.008038410.01607680.991962
2280.006270560.01254110.993729
2290.004651490.009302970.995349
2300.003435370.006870740.996565
2310.002451250.004902490.997549
2320.003046870.006093730.996953
2330.002965790.005931580.997034
2340.02401580.04803160.975984
2350.01841330.03682650.981587
2360.01421960.02843920.98578
2370.1529240.3058490.847076
2380.1542080.3084170.845792
2390.2407820.4815640.759218
2400.2064030.4128070.793597
2410.1649590.3299170.835041
2420.1274290.2548590.872571
2430.122230.2444590.87777
2440.09412720.1882540.905873
2450.1467370.2934740.853263
2460.1963230.3926470.803677
2470.1458580.2917160.854142
2480.1757710.3515420.824229
2490.1661010.3322030.833899
2500.1467650.2935310.853235
2510.2204240.4408470.779576
2520.596610.806780.40339
2530.6907810.6184370.309219
2540.9597860.08042710.0402135
2550.9188370.1623250.0811627
2560.932250.1354990.0677496

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
8 & 0.665127 & 0.669745 & 0.334873 \tabularnewline
9 & 0.505281 & 0.989438 & 0.494719 \tabularnewline
10 & 0.399657 & 0.799315 & 0.600343 \tabularnewline
11 & 0.321821 & 0.643643 & 0.678179 \tabularnewline
12 & 0.416757 & 0.833515 & 0.583243 \tabularnewline
13 & 0.325584 & 0.651167 & 0.674416 \tabularnewline
14 & 0.27795 & 0.555901 & 0.72205 \tabularnewline
15 & 0.296111 & 0.592223 & 0.703889 \tabularnewline
16 & 0.241507 & 0.483014 & 0.758493 \tabularnewline
17 & 0.18557 & 0.37114 & 0.81443 \tabularnewline
18 & 0.445547 & 0.891094 & 0.554453 \tabularnewline
19 & 0.430375 & 0.860749 & 0.569625 \tabularnewline
20 & 0.358755 & 0.717511 & 0.641245 \tabularnewline
21 & 0.292479 & 0.584959 & 0.707521 \tabularnewline
22 & 0.235393 & 0.470785 & 0.764607 \tabularnewline
23 & 0.263179 & 0.526358 & 0.736821 \tabularnewline
24 & 0.215793 & 0.431587 & 0.784207 \tabularnewline
25 & 0.183552 & 0.367105 & 0.816448 \tabularnewline
26 & 0.147203 & 0.294405 & 0.852797 \tabularnewline
27 & 0.111866 & 0.223733 & 0.888134 \tabularnewline
28 & 0.0900029 & 0.180006 & 0.909997 \tabularnewline
29 & 0.067299 & 0.134598 & 0.932701 \tabularnewline
30 & 0.064703 & 0.129406 & 0.935297 \tabularnewline
31 & 0.0471574 & 0.0943148 & 0.952843 \tabularnewline
32 & 0.0585628 & 0.117126 & 0.941437 \tabularnewline
33 & 0.052419 & 0.104838 & 0.947581 \tabularnewline
34 & 0.038333 & 0.0766661 & 0.961667 \tabularnewline
35 & 0.0300892 & 0.0601784 & 0.969911 \tabularnewline
36 & 0.105095 & 0.210189 & 0.894905 \tabularnewline
37 & 0.176282 & 0.352564 & 0.823718 \tabularnewline
38 & 0.155796 & 0.311592 & 0.844204 \tabularnewline
39 & 0.154061 & 0.308121 & 0.845939 \tabularnewline
40 & 0.128867 & 0.257734 & 0.871133 \tabularnewline
41 & 0.104442 & 0.208884 & 0.895558 \tabularnewline
42 & 0.0873591 & 0.174718 & 0.912641 \tabularnewline
43 & 0.152876 & 0.305753 & 0.847124 \tabularnewline
44 & 0.131572 & 0.263143 & 0.868428 \tabularnewline
45 & 0.114681 & 0.229362 & 0.885319 \tabularnewline
46 & 0.208591 & 0.417182 & 0.791409 \tabularnewline
47 & 0.219339 & 0.438677 & 0.780661 \tabularnewline
48 & 0.18507 & 0.37014 & 0.81493 \tabularnewline
49 & 0.155211 & 0.310423 & 0.844789 \tabularnewline
50 & 0.137591 & 0.275183 & 0.862409 \tabularnewline
51 & 0.114423 & 0.228846 & 0.885577 \tabularnewline
52 & 0.0931446 & 0.186289 & 0.906855 \tabularnewline
53 & 0.0876048 & 0.17521 & 0.912395 \tabularnewline
54 & 0.0736829 & 0.147366 & 0.926317 \tabularnewline
55 & 0.16486 & 0.32972 & 0.83514 \tabularnewline
56 & 0.151356 & 0.302712 & 0.848644 \tabularnewline
57 & 0.127785 & 0.255569 & 0.872215 \tabularnewline
58 & 0.117793 & 0.235585 & 0.882207 \tabularnewline
59 & 0.0977207 & 0.195441 & 0.902279 \tabularnewline
60 & 0.0879886 & 0.175977 & 0.912011 \tabularnewline
61 & 0.0715488 & 0.143098 & 0.928451 \tabularnewline
62 & 0.0596559 & 0.119312 & 0.940344 \tabularnewline
63 & 0.0530921 & 0.106184 & 0.946908 \tabularnewline
64 & 0.0427402 & 0.0854804 & 0.95726 \tabularnewline
65 & 0.0376299 & 0.0752597 & 0.96237 \tabularnewline
66 & 0.0371843 & 0.0743687 & 0.962816 \tabularnewline
67 & 0.0502237 & 0.100447 & 0.949776 \tabularnewline
68 & 0.105391 & 0.210782 & 0.894609 \tabularnewline
69 & 0.16189 & 0.323781 & 0.83811 \tabularnewline
70 & 0.140704 & 0.281407 & 0.859296 \tabularnewline
71 & 0.278974 & 0.557949 & 0.721026 \tabularnewline
72 & 0.249884 & 0.499768 & 0.750116 \tabularnewline
73 & 0.264551 & 0.529103 & 0.735449 \tabularnewline
74 & 0.255179 & 0.510358 & 0.744821 \tabularnewline
75 & 0.24409 & 0.48818 & 0.75591 \tabularnewline
76 & 0.257061 & 0.514122 & 0.742939 \tabularnewline
77 & 0.227315 & 0.45463 & 0.772685 \tabularnewline
78 & 0.216601 & 0.433201 & 0.783399 \tabularnewline
79 & 0.194391 & 0.388783 & 0.805609 \tabularnewline
80 & 0.179806 & 0.359612 & 0.820194 \tabularnewline
81 & 0.159591 & 0.319182 & 0.840409 \tabularnewline
82 & 0.138598 & 0.277197 & 0.861402 \tabularnewline
83 & 0.119837 & 0.239673 & 0.880163 \tabularnewline
84 & 0.101856 & 0.203713 & 0.898144 \tabularnewline
85 & 0.0936611 & 0.187322 & 0.906339 \tabularnewline
86 & 0.0875562 & 0.175112 & 0.912444 \tabularnewline
87 & 0.0778531 & 0.155706 & 0.922147 \tabularnewline
88 & 0.0758122 & 0.151624 & 0.924188 \tabularnewline
89 & 0.0699292 & 0.139858 & 0.930071 \tabularnewline
90 & 0.079663 & 0.159326 & 0.920337 \tabularnewline
91 & 0.0824712 & 0.164942 & 0.917529 \tabularnewline
92 & 0.0697929 & 0.139586 & 0.930207 \tabularnewline
93 & 0.0607263 & 0.121453 & 0.939274 \tabularnewline
94 & 0.0523552 & 0.10471 & 0.947645 \tabularnewline
95 & 0.0437678 & 0.0875356 & 0.956232 \tabularnewline
96 & 0.0387055 & 0.077411 & 0.961295 \tabularnewline
97 & 0.0342923 & 0.0685845 & 0.965708 \tabularnewline
98 & 0.0284958 & 0.0569915 & 0.971504 \tabularnewline
99 & 0.023824 & 0.0476479 & 0.976176 \tabularnewline
100 & 0.0193453 & 0.0386905 & 0.980655 \tabularnewline
101 & 0.0169186 & 0.0338373 & 0.983081 \tabularnewline
102 & 0.0365084 & 0.0730168 & 0.963492 \tabularnewline
103 & 0.032232 & 0.0644639 & 0.967768 \tabularnewline
104 & 0.0273725 & 0.054745 & 0.972628 \tabularnewline
105 & 0.0267371 & 0.0534742 & 0.973263 \tabularnewline
106 & 0.0245625 & 0.049125 & 0.975437 \tabularnewline
107 & 0.0205204 & 0.0410408 & 0.97948 \tabularnewline
108 & 0.0189874 & 0.0379748 & 0.981013 \tabularnewline
109 & 0.0237925 & 0.0475851 & 0.976207 \tabularnewline
110 & 0.0214051 & 0.0428102 & 0.978595 \tabularnewline
111 & 0.0210587 & 0.0421174 & 0.978941 \tabularnewline
112 & 0.0198805 & 0.0397611 & 0.980119 \tabularnewline
113 & 0.017603 & 0.035206 & 0.982397 \tabularnewline
114 & 0.0240098 & 0.0480196 & 0.97599 \tabularnewline
115 & 0.0289865 & 0.057973 & 0.971013 \tabularnewline
116 & 0.02464 & 0.0492801 & 0.97536 \tabularnewline
117 & 0.021133 & 0.042266 & 0.978867 \tabularnewline
118 & 0.0207315 & 0.041463 & 0.979269 \tabularnewline
119 & 0.0179927 & 0.0359854 & 0.982007 \tabularnewline
120 & 0.0160253 & 0.0320507 & 0.983975 \tabularnewline
121 & 0.0164191 & 0.0328382 & 0.983581 \tabularnewline
122 & 0.0176835 & 0.0353671 & 0.982316 \tabularnewline
123 & 0.0145388 & 0.0290776 & 0.985461 \tabularnewline
124 & 0.0121733 & 0.0243466 & 0.987827 \tabularnewline
125 & 0.0111745 & 0.022349 & 0.988826 \tabularnewline
126 & 0.00946103 & 0.0189221 & 0.990539 \tabularnewline
127 & 0.00818764 & 0.0163753 & 0.991812 \tabularnewline
128 & 0.00642108 & 0.0128422 & 0.993579 \tabularnewline
129 & 0.00744129 & 0.0148826 & 0.992559 \tabularnewline
130 & 0.00681913 & 0.0136383 & 0.993181 \tabularnewline
131 & 0.00891965 & 0.0178393 & 0.99108 \tabularnewline
132 & 0.00752725 & 0.0150545 & 0.992473 \tabularnewline
133 & 0.00691589 & 0.0138318 & 0.993084 \tabularnewline
134 & 0.00586157 & 0.0117231 & 0.994138 \tabularnewline
135 & 0.00485184 & 0.00970368 & 0.995148 \tabularnewline
136 & 0.00399123 & 0.00798246 & 0.996009 \tabularnewline
137 & 0.00314609 & 0.00629219 & 0.996854 \tabularnewline
138 & 0.00378686 & 0.00757372 & 0.996213 \tabularnewline
139 & 0.00453706 & 0.00907412 & 0.995463 \tabularnewline
140 & 0.00630819 & 0.0126164 & 0.993692 \tabularnewline
141 & 0.00547696 & 0.0109539 & 0.994523 \tabularnewline
142 & 0.00428299 & 0.00856597 & 0.995717 \tabularnewline
143 & 0.00481106 & 0.00962212 & 0.995189 \tabularnewline
144 & 0.00589935 & 0.0117987 & 0.994101 \tabularnewline
145 & 0.014981 & 0.029962 & 0.985019 \tabularnewline
146 & 0.0276961 & 0.0553922 & 0.972304 \tabularnewline
147 & 0.0247517 & 0.0495033 & 0.975248 \tabularnewline
148 & 0.025654 & 0.051308 & 0.974346 \tabularnewline
149 & 0.0215192 & 0.0430383 & 0.978481 \tabularnewline
150 & 0.0539608 & 0.107922 & 0.946039 \tabularnewline
151 & 0.0461041 & 0.0922083 & 0.953896 \tabularnewline
152 & 0.0390803 & 0.0781606 & 0.96092 \tabularnewline
153 & 0.0343573 & 0.0687146 & 0.965643 \tabularnewline
154 & 0.0293963 & 0.0587926 & 0.970604 \tabularnewline
155 & 0.0398998 & 0.0797996 & 0.9601 \tabularnewline
156 & 0.0506977 & 0.101395 & 0.949302 \tabularnewline
157 & 0.0460237 & 0.0920474 & 0.953976 \tabularnewline
158 & 0.0380323 & 0.0760646 & 0.961968 \tabularnewline
159 & 0.0389885 & 0.077977 & 0.961011 \tabularnewline
160 & 0.0394936 & 0.0789872 & 0.960506 \tabularnewline
161 & 0.0344584 & 0.0689168 & 0.965542 \tabularnewline
162 & 0.0295006 & 0.0590013 & 0.970499 \tabularnewline
163 & 0.0271352 & 0.0542705 & 0.972865 \tabularnewline
164 & 0.0331534 & 0.0663068 & 0.966847 \tabularnewline
165 & 0.027755 & 0.0555099 & 0.972245 \tabularnewline
166 & 0.0310191 & 0.0620381 & 0.968981 \tabularnewline
167 & 0.0253204 & 0.0506409 & 0.97468 \tabularnewline
168 & 0.023475 & 0.04695 & 0.976525 \tabularnewline
169 & 0.0197821 & 0.0395642 & 0.980218 \tabularnewline
170 & 0.0199179 & 0.0398358 & 0.980082 \tabularnewline
171 & 0.0173517 & 0.0347033 & 0.982648 \tabularnewline
172 & 0.0147163 & 0.0294325 & 0.985284 \tabularnewline
173 & 0.0147789 & 0.0295578 & 0.985221 \tabularnewline
174 & 0.0205535 & 0.0411069 & 0.979447 \tabularnewline
175 & 0.0192566 & 0.0385132 & 0.980743 \tabularnewline
176 & 0.0159941 & 0.0319881 & 0.984006 \tabularnewline
177 & 0.0139697 & 0.0279395 & 0.98603 \tabularnewline
178 & 0.0115727 & 0.0231454 & 0.988427 \tabularnewline
179 & 0.00928865 & 0.0185773 & 0.990711 \tabularnewline
180 & 0.00900511 & 0.0180102 & 0.990995 \tabularnewline
181 & 0.00812934 & 0.0162587 & 0.991871 \tabularnewline
182 & 0.00900851 & 0.018017 & 0.990991 \tabularnewline
183 & 0.0175094 & 0.0350188 & 0.982491 \tabularnewline
184 & 0.0165361 & 0.0330721 & 0.983464 \tabularnewline
185 & 0.0493769 & 0.0987538 & 0.950623 \tabularnewline
186 & 0.0459468 & 0.0918937 & 0.954053 \tabularnewline
187 & 0.0570345 & 0.114069 & 0.942966 \tabularnewline
188 & 0.0538739 & 0.107748 & 0.946126 \tabularnewline
189 & 0.0515995 & 0.103199 & 0.948401 \tabularnewline
190 & 0.0578816 & 0.115763 & 0.942118 \tabularnewline
191 & 0.0475717 & 0.0951433 & 0.952428 \tabularnewline
192 & 0.0433895 & 0.086779 & 0.95661 \tabularnewline
193 & 0.0412089 & 0.0824178 & 0.958791 \tabularnewline
194 & 0.0406299 & 0.0812599 & 0.95937 \tabularnewline
195 & 0.0337264 & 0.0674528 & 0.966274 \tabularnewline
196 & 0.0298166 & 0.0596333 & 0.970183 \tabularnewline
197 & 0.0314576 & 0.0629151 & 0.968542 \tabularnewline
198 & 0.0280788 & 0.0561576 & 0.971921 \tabularnewline
199 & 0.0240343 & 0.0480686 & 0.975966 \tabularnewline
200 & 0.023338 & 0.046676 & 0.976662 \tabularnewline
201 & 0.0318856 & 0.0637713 & 0.968114 \tabularnewline
202 & 0.0252359 & 0.0504718 & 0.974764 \tabularnewline
203 & 0.0286058 & 0.0572115 & 0.971394 \tabularnewline
204 & 0.024567 & 0.0491339 & 0.975433 \tabularnewline
205 & 0.0205357 & 0.0410714 & 0.979464 \tabularnewline
206 & 0.0165442 & 0.0330884 & 0.983456 \tabularnewline
207 & 0.0158529 & 0.0317058 & 0.984147 \tabularnewline
208 & 0.0141718 & 0.0283435 & 0.985828 \tabularnewline
209 & 0.0140807 & 0.0281614 & 0.985919 \tabularnewline
210 & 0.0117979 & 0.0235958 & 0.988202 \tabularnewline
211 & 0.00927585 & 0.0185517 & 0.990724 \tabularnewline
212 & 0.0111156 & 0.0222312 & 0.988884 \tabularnewline
213 & 0.00875049 & 0.017501 & 0.99125 \tabularnewline
214 & 0.00886473 & 0.0177295 & 0.991135 \tabularnewline
215 & 0.0104788 & 0.0209575 & 0.989521 \tabularnewline
216 & 0.00853032 & 0.0170606 & 0.99147 \tabularnewline
217 & 0.00988033 & 0.0197607 & 0.99012 \tabularnewline
218 & 0.00828232 & 0.0165646 & 0.991718 \tabularnewline
219 & 0.00621406 & 0.0124281 & 0.993786 \tabularnewline
220 & 0.0048457 & 0.0096914 & 0.995154 \tabularnewline
221 & 0.00379667 & 0.00759334 & 0.996203 \tabularnewline
222 & 0.00289471 & 0.00578943 & 0.997105 \tabularnewline
223 & 0.00316855 & 0.00633711 & 0.996831 \tabularnewline
224 & 0.00249843 & 0.00499686 & 0.997502 \tabularnewline
225 & 0.00175369 & 0.00350739 & 0.998246 \tabularnewline
226 & 0.0109803 & 0.0219607 & 0.98902 \tabularnewline
227 & 0.00803841 & 0.0160768 & 0.991962 \tabularnewline
228 & 0.00627056 & 0.0125411 & 0.993729 \tabularnewline
229 & 0.00465149 & 0.00930297 & 0.995349 \tabularnewline
230 & 0.00343537 & 0.00687074 & 0.996565 \tabularnewline
231 & 0.00245125 & 0.00490249 & 0.997549 \tabularnewline
232 & 0.00304687 & 0.00609373 & 0.996953 \tabularnewline
233 & 0.00296579 & 0.00593158 & 0.997034 \tabularnewline
234 & 0.0240158 & 0.0480316 & 0.975984 \tabularnewline
235 & 0.0184133 & 0.0368265 & 0.981587 \tabularnewline
236 & 0.0142196 & 0.0284392 & 0.98578 \tabularnewline
237 & 0.152924 & 0.305849 & 0.847076 \tabularnewline
238 & 0.154208 & 0.308417 & 0.845792 \tabularnewline
239 & 0.240782 & 0.481564 & 0.759218 \tabularnewline
240 & 0.206403 & 0.412807 & 0.793597 \tabularnewline
241 & 0.164959 & 0.329917 & 0.835041 \tabularnewline
242 & 0.127429 & 0.254859 & 0.872571 \tabularnewline
243 & 0.12223 & 0.244459 & 0.87777 \tabularnewline
244 & 0.0941272 & 0.188254 & 0.905873 \tabularnewline
245 & 0.146737 & 0.293474 & 0.853263 \tabularnewline
246 & 0.196323 & 0.392647 & 0.803677 \tabularnewline
247 & 0.145858 & 0.291716 & 0.854142 \tabularnewline
248 & 0.175771 & 0.351542 & 0.824229 \tabularnewline
249 & 0.166101 & 0.332203 & 0.833899 \tabularnewline
250 & 0.146765 & 0.293531 & 0.853235 \tabularnewline
251 & 0.220424 & 0.440847 & 0.779576 \tabularnewline
252 & 0.59661 & 0.80678 & 0.40339 \tabularnewline
253 & 0.690781 & 0.618437 & 0.309219 \tabularnewline
254 & 0.959786 & 0.0804271 & 0.0402135 \tabularnewline
255 & 0.918837 & 0.162325 & 0.0811627 \tabularnewline
256 & 0.93225 & 0.135499 & 0.0677496 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253620&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]0.665127[/C][C]0.669745[/C][C]0.334873[/C][/ROW]
[ROW][C]9[/C][C]0.505281[/C][C]0.989438[/C][C]0.494719[/C][/ROW]
[ROW][C]10[/C][C]0.399657[/C][C]0.799315[/C][C]0.600343[/C][/ROW]
[ROW][C]11[/C][C]0.321821[/C][C]0.643643[/C][C]0.678179[/C][/ROW]
[ROW][C]12[/C][C]0.416757[/C][C]0.833515[/C][C]0.583243[/C][/ROW]
[ROW][C]13[/C][C]0.325584[/C][C]0.651167[/C][C]0.674416[/C][/ROW]
[ROW][C]14[/C][C]0.27795[/C][C]0.555901[/C][C]0.72205[/C][/ROW]
[ROW][C]15[/C][C]0.296111[/C][C]0.592223[/C][C]0.703889[/C][/ROW]
[ROW][C]16[/C][C]0.241507[/C][C]0.483014[/C][C]0.758493[/C][/ROW]
[ROW][C]17[/C][C]0.18557[/C][C]0.37114[/C][C]0.81443[/C][/ROW]
[ROW][C]18[/C][C]0.445547[/C][C]0.891094[/C][C]0.554453[/C][/ROW]
[ROW][C]19[/C][C]0.430375[/C][C]0.860749[/C][C]0.569625[/C][/ROW]
[ROW][C]20[/C][C]0.358755[/C][C]0.717511[/C][C]0.641245[/C][/ROW]
[ROW][C]21[/C][C]0.292479[/C][C]0.584959[/C][C]0.707521[/C][/ROW]
[ROW][C]22[/C][C]0.235393[/C][C]0.470785[/C][C]0.764607[/C][/ROW]
[ROW][C]23[/C][C]0.263179[/C][C]0.526358[/C][C]0.736821[/C][/ROW]
[ROW][C]24[/C][C]0.215793[/C][C]0.431587[/C][C]0.784207[/C][/ROW]
[ROW][C]25[/C][C]0.183552[/C][C]0.367105[/C][C]0.816448[/C][/ROW]
[ROW][C]26[/C][C]0.147203[/C][C]0.294405[/C][C]0.852797[/C][/ROW]
[ROW][C]27[/C][C]0.111866[/C][C]0.223733[/C][C]0.888134[/C][/ROW]
[ROW][C]28[/C][C]0.0900029[/C][C]0.180006[/C][C]0.909997[/C][/ROW]
[ROW][C]29[/C][C]0.067299[/C][C]0.134598[/C][C]0.932701[/C][/ROW]
[ROW][C]30[/C][C]0.064703[/C][C]0.129406[/C][C]0.935297[/C][/ROW]
[ROW][C]31[/C][C]0.0471574[/C][C]0.0943148[/C][C]0.952843[/C][/ROW]
[ROW][C]32[/C][C]0.0585628[/C][C]0.117126[/C][C]0.941437[/C][/ROW]
[ROW][C]33[/C][C]0.052419[/C][C]0.104838[/C][C]0.947581[/C][/ROW]
[ROW][C]34[/C][C]0.038333[/C][C]0.0766661[/C][C]0.961667[/C][/ROW]
[ROW][C]35[/C][C]0.0300892[/C][C]0.0601784[/C][C]0.969911[/C][/ROW]
[ROW][C]36[/C][C]0.105095[/C][C]0.210189[/C][C]0.894905[/C][/ROW]
[ROW][C]37[/C][C]0.176282[/C][C]0.352564[/C][C]0.823718[/C][/ROW]
[ROW][C]38[/C][C]0.155796[/C][C]0.311592[/C][C]0.844204[/C][/ROW]
[ROW][C]39[/C][C]0.154061[/C][C]0.308121[/C][C]0.845939[/C][/ROW]
[ROW][C]40[/C][C]0.128867[/C][C]0.257734[/C][C]0.871133[/C][/ROW]
[ROW][C]41[/C][C]0.104442[/C][C]0.208884[/C][C]0.895558[/C][/ROW]
[ROW][C]42[/C][C]0.0873591[/C][C]0.174718[/C][C]0.912641[/C][/ROW]
[ROW][C]43[/C][C]0.152876[/C][C]0.305753[/C][C]0.847124[/C][/ROW]
[ROW][C]44[/C][C]0.131572[/C][C]0.263143[/C][C]0.868428[/C][/ROW]
[ROW][C]45[/C][C]0.114681[/C][C]0.229362[/C][C]0.885319[/C][/ROW]
[ROW][C]46[/C][C]0.208591[/C][C]0.417182[/C][C]0.791409[/C][/ROW]
[ROW][C]47[/C][C]0.219339[/C][C]0.438677[/C][C]0.780661[/C][/ROW]
[ROW][C]48[/C][C]0.18507[/C][C]0.37014[/C][C]0.81493[/C][/ROW]
[ROW][C]49[/C][C]0.155211[/C][C]0.310423[/C][C]0.844789[/C][/ROW]
[ROW][C]50[/C][C]0.137591[/C][C]0.275183[/C][C]0.862409[/C][/ROW]
[ROW][C]51[/C][C]0.114423[/C][C]0.228846[/C][C]0.885577[/C][/ROW]
[ROW][C]52[/C][C]0.0931446[/C][C]0.186289[/C][C]0.906855[/C][/ROW]
[ROW][C]53[/C][C]0.0876048[/C][C]0.17521[/C][C]0.912395[/C][/ROW]
[ROW][C]54[/C][C]0.0736829[/C][C]0.147366[/C][C]0.926317[/C][/ROW]
[ROW][C]55[/C][C]0.16486[/C][C]0.32972[/C][C]0.83514[/C][/ROW]
[ROW][C]56[/C][C]0.151356[/C][C]0.302712[/C][C]0.848644[/C][/ROW]
[ROW][C]57[/C][C]0.127785[/C][C]0.255569[/C][C]0.872215[/C][/ROW]
[ROW][C]58[/C][C]0.117793[/C][C]0.235585[/C][C]0.882207[/C][/ROW]
[ROW][C]59[/C][C]0.0977207[/C][C]0.195441[/C][C]0.902279[/C][/ROW]
[ROW][C]60[/C][C]0.0879886[/C][C]0.175977[/C][C]0.912011[/C][/ROW]
[ROW][C]61[/C][C]0.0715488[/C][C]0.143098[/C][C]0.928451[/C][/ROW]
[ROW][C]62[/C][C]0.0596559[/C][C]0.119312[/C][C]0.940344[/C][/ROW]
[ROW][C]63[/C][C]0.0530921[/C][C]0.106184[/C][C]0.946908[/C][/ROW]
[ROW][C]64[/C][C]0.0427402[/C][C]0.0854804[/C][C]0.95726[/C][/ROW]
[ROW][C]65[/C][C]0.0376299[/C][C]0.0752597[/C][C]0.96237[/C][/ROW]
[ROW][C]66[/C][C]0.0371843[/C][C]0.0743687[/C][C]0.962816[/C][/ROW]
[ROW][C]67[/C][C]0.0502237[/C][C]0.100447[/C][C]0.949776[/C][/ROW]
[ROW][C]68[/C][C]0.105391[/C][C]0.210782[/C][C]0.894609[/C][/ROW]
[ROW][C]69[/C][C]0.16189[/C][C]0.323781[/C][C]0.83811[/C][/ROW]
[ROW][C]70[/C][C]0.140704[/C][C]0.281407[/C][C]0.859296[/C][/ROW]
[ROW][C]71[/C][C]0.278974[/C][C]0.557949[/C][C]0.721026[/C][/ROW]
[ROW][C]72[/C][C]0.249884[/C][C]0.499768[/C][C]0.750116[/C][/ROW]
[ROW][C]73[/C][C]0.264551[/C][C]0.529103[/C][C]0.735449[/C][/ROW]
[ROW][C]74[/C][C]0.255179[/C][C]0.510358[/C][C]0.744821[/C][/ROW]
[ROW][C]75[/C][C]0.24409[/C][C]0.48818[/C][C]0.75591[/C][/ROW]
[ROW][C]76[/C][C]0.257061[/C][C]0.514122[/C][C]0.742939[/C][/ROW]
[ROW][C]77[/C][C]0.227315[/C][C]0.45463[/C][C]0.772685[/C][/ROW]
[ROW][C]78[/C][C]0.216601[/C][C]0.433201[/C][C]0.783399[/C][/ROW]
[ROW][C]79[/C][C]0.194391[/C][C]0.388783[/C][C]0.805609[/C][/ROW]
[ROW][C]80[/C][C]0.179806[/C][C]0.359612[/C][C]0.820194[/C][/ROW]
[ROW][C]81[/C][C]0.159591[/C][C]0.319182[/C][C]0.840409[/C][/ROW]
[ROW][C]82[/C][C]0.138598[/C][C]0.277197[/C][C]0.861402[/C][/ROW]
[ROW][C]83[/C][C]0.119837[/C][C]0.239673[/C][C]0.880163[/C][/ROW]
[ROW][C]84[/C][C]0.101856[/C][C]0.203713[/C][C]0.898144[/C][/ROW]
[ROW][C]85[/C][C]0.0936611[/C][C]0.187322[/C][C]0.906339[/C][/ROW]
[ROW][C]86[/C][C]0.0875562[/C][C]0.175112[/C][C]0.912444[/C][/ROW]
[ROW][C]87[/C][C]0.0778531[/C][C]0.155706[/C][C]0.922147[/C][/ROW]
[ROW][C]88[/C][C]0.0758122[/C][C]0.151624[/C][C]0.924188[/C][/ROW]
[ROW][C]89[/C][C]0.0699292[/C][C]0.139858[/C][C]0.930071[/C][/ROW]
[ROW][C]90[/C][C]0.079663[/C][C]0.159326[/C][C]0.920337[/C][/ROW]
[ROW][C]91[/C][C]0.0824712[/C][C]0.164942[/C][C]0.917529[/C][/ROW]
[ROW][C]92[/C][C]0.0697929[/C][C]0.139586[/C][C]0.930207[/C][/ROW]
[ROW][C]93[/C][C]0.0607263[/C][C]0.121453[/C][C]0.939274[/C][/ROW]
[ROW][C]94[/C][C]0.0523552[/C][C]0.10471[/C][C]0.947645[/C][/ROW]
[ROW][C]95[/C][C]0.0437678[/C][C]0.0875356[/C][C]0.956232[/C][/ROW]
[ROW][C]96[/C][C]0.0387055[/C][C]0.077411[/C][C]0.961295[/C][/ROW]
[ROW][C]97[/C][C]0.0342923[/C][C]0.0685845[/C][C]0.965708[/C][/ROW]
[ROW][C]98[/C][C]0.0284958[/C][C]0.0569915[/C][C]0.971504[/C][/ROW]
[ROW][C]99[/C][C]0.023824[/C][C]0.0476479[/C][C]0.976176[/C][/ROW]
[ROW][C]100[/C][C]0.0193453[/C][C]0.0386905[/C][C]0.980655[/C][/ROW]
[ROW][C]101[/C][C]0.0169186[/C][C]0.0338373[/C][C]0.983081[/C][/ROW]
[ROW][C]102[/C][C]0.0365084[/C][C]0.0730168[/C][C]0.963492[/C][/ROW]
[ROW][C]103[/C][C]0.032232[/C][C]0.0644639[/C][C]0.967768[/C][/ROW]
[ROW][C]104[/C][C]0.0273725[/C][C]0.054745[/C][C]0.972628[/C][/ROW]
[ROW][C]105[/C][C]0.0267371[/C][C]0.0534742[/C][C]0.973263[/C][/ROW]
[ROW][C]106[/C][C]0.0245625[/C][C]0.049125[/C][C]0.975437[/C][/ROW]
[ROW][C]107[/C][C]0.0205204[/C][C]0.0410408[/C][C]0.97948[/C][/ROW]
[ROW][C]108[/C][C]0.0189874[/C][C]0.0379748[/C][C]0.981013[/C][/ROW]
[ROW][C]109[/C][C]0.0237925[/C][C]0.0475851[/C][C]0.976207[/C][/ROW]
[ROW][C]110[/C][C]0.0214051[/C][C]0.0428102[/C][C]0.978595[/C][/ROW]
[ROW][C]111[/C][C]0.0210587[/C][C]0.0421174[/C][C]0.978941[/C][/ROW]
[ROW][C]112[/C][C]0.0198805[/C][C]0.0397611[/C][C]0.980119[/C][/ROW]
[ROW][C]113[/C][C]0.017603[/C][C]0.035206[/C][C]0.982397[/C][/ROW]
[ROW][C]114[/C][C]0.0240098[/C][C]0.0480196[/C][C]0.97599[/C][/ROW]
[ROW][C]115[/C][C]0.0289865[/C][C]0.057973[/C][C]0.971013[/C][/ROW]
[ROW][C]116[/C][C]0.02464[/C][C]0.0492801[/C][C]0.97536[/C][/ROW]
[ROW][C]117[/C][C]0.021133[/C][C]0.042266[/C][C]0.978867[/C][/ROW]
[ROW][C]118[/C][C]0.0207315[/C][C]0.041463[/C][C]0.979269[/C][/ROW]
[ROW][C]119[/C][C]0.0179927[/C][C]0.0359854[/C][C]0.982007[/C][/ROW]
[ROW][C]120[/C][C]0.0160253[/C][C]0.0320507[/C][C]0.983975[/C][/ROW]
[ROW][C]121[/C][C]0.0164191[/C][C]0.0328382[/C][C]0.983581[/C][/ROW]
[ROW][C]122[/C][C]0.0176835[/C][C]0.0353671[/C][C]0.982316[/C][/ROW]
[ROW][C]123[/C][C]0.0145388[/C][C]0.0290776[/C][C]0.985461[/C][/ROW]
[ROW][C]124[/C][C]0.0121733[/C][C]0.0243466[/C][C]0.987827[/C][/ROW]
[ROW][C]125[/C][C]0.0111745[/C][C]0.022349[/C][C]0.988826[/C][/ROW]
[ROW][C]126[/C][C]0.00946103[/C][C]0.0189221[/C][C]0.990539[/C][/ROW]
[ROW][C]127[/C][C]0.00818764[/C][C]0.0163753[/C][C]0.991812[/C][/ROW]
[ROW][C]128[/C][C]0.00642108[/C][C]0.0128422[/C][C]0.993579[/C][/ROW]
[ROW][C]129[/C][C]0.00744129[/C][C]0.0148826[/C][C]0.992559[/C][/ROW]
[ROW][C]130[/C][C]0.00681913[/C][C]0.0136383[/C][C]0.993181[/C][/ROW]
[ROW][C]131[/C][C]0.00891965[/C][C]0.0178393[/C][C]0.99108[/C][/ROW]
[ROW][C]132[/C][C]0.00752725[/C][C]0.0150545[/C][C]0.992473[/C][/ROW]
[ROW][C]133[/C][C]0.00691589[/C][C]0.0138318[/C][C]0.993084[/C][/ROW]
[ROW][C]134[/C][C]0.00586157[/C][C]0.0117231[/C][C]0.994138[/C][/ROW]
[ROW][C]135[/C][C]0.00485184[/C][C]0.00970368[/C][C]0.995148[/C][/ROW]
[ROW][C]136[/C][C]0.00399123[/C][C]0.00798246[/C][C]0.996009[/C][/ROW]
[ROW][C]137[/C][C]0.00314609[/C][C]0.00629219[/C][C]0.996854[/C][/ROW]
[ROW][C]138[/C][C]0.00378686[/C][C]0.00757372[/C][C]0.996213[/C][/ROW]
[ROW][C]139[/C][C]0.00453706[/C][C]0.00907412[/C][C]0.995463[/C][/ROW]
[ROW][C]140[/C][C]0.00630819[/C][C]0.0126164[/C][C]0.993692[/C][/ROW]
[ROW][C]141[/C][C]0.00547696[/C][C]0.0109539[/C][C]0.994523[/C][/ROW]
[ROW][C]142[/C][C]0.00428299[/C][C]0.00856597[/C][C]0.995717[/C][/ROW]
[ROW][C]143[/C][C]0.00481106[/C][C]0.00962212[/C][C]0.995189[/C][/ROW]
[ROW][C]144[/C][C]0.00589935[/C][C]0.0117987[/C][C]0.994101[/C][/ROW]
[ROW][C]145[/C][C]0.014981[/C][C]0.029962[/C][C]0.985019[/C][/ROW]
[ROW][C]146[/C][C]0.0276961[/C][C]0.0553922[/C][C]0.972304[/C][/ROW]
[ROW][C]147[/C][C]0.0247517[/C][C]0.0495033[/C][C]0.975248[/C][/ROW]
[ROW][C]148[/C][C]0.025654[/C][C]0.051308[/C][C]0.974346[/C][/ROW]
[ROW][C]149[/C][C]0.0215192[/C][C]0.0430383[/C][C]0.978481[/C][/ROW]
[ROW][C]150[/C][C]0.0539608[/C][C]0.107922[/C][C]0.946039[/C][/ROW]
[ROW][C]151[/C][C]0.0461041[/C][C]0.0922083[/C][C]0.953896[/C][/ROW]
[ROW][C]152[/C][C]0.0390803[/C][C]0.0781606[/C][C]0.96092[/C][/ROW]
[ROW][C]153[/C][C]0.0343573[/C][C]0.0687146[/C][C]0.965643[/C][/ROW]
[ROW][C]154[/C][C]0.0293963[/C][C]0.0587926[/C][C]0.970604[/C][/ROW]
[ROW][C]155[/C][C]0.0398998[/C][C]0.0797996[/C][C]0.9601[/C][/ROW]
[ROW][C]156[/C][C]0.0506977[/C][C]0.101395[/C][C]0.949302[/C][/ROW]
[ROW][C]157[/C][C]0.0460237[/C][C]0.0920474[/C][C]0.953976[/C][/ROW]
[ROW][C]158[/C][C]0.0380323[/C][C]0.0760646[/C][C]0.961968[/C][/ROW]
[ROW][C]159[/C][C]0.0389885[/C][C]0.077977[/C][C]0.961011[/C][/ROW]
[ROW][C]160[/C][C]0.0394936[/C][C]0.0789872[/C][C]0.960506[/C][/ROW]
[ROW][C]161[/C][C]0.0344584[/C][C]0.0689168[/C][C]0.965542[/C][/ROW]
[ROW][C]162[/C][C]0.0295006[/C][C]0.0590013[/C][C]0.970499[/C][/ROW]
[ROW][C]163[/C][C]0.0271352[/C][C]0.0542705[/C][C]0.972865[/C][/ROW]
[ROW][C]164[/C][C]0.0331534[/C][C]0.0663068[/C][C]0.966847[/C][/ROW]
[ROW][C]165[/C][C]0.027755[/C][C]0.0555099[/C][C]0.972245[/C][/ROW]
[ROW][C]166[/C][C]0.0310191[/C][C]0.0620381[/C][C]0.968981[/C][/ROW]
[ROW][C]167[/C][C]0.0253204[/C][C]0.0506409[/C][C]0.97468[/C][/ROW]
[ROW][C]168[/C][C]0.023475[/C][C]0.04695[/C][C]0.976525[/C][/ROW]
[ROW][C]169[/C][C]0.0197821[/C][C]0.0395642[/C][C]0.980218[/C][/ROW]
[ROW][C]170[/C][C]0.0199179[/C][C]0.0398358[/C][C]0.980082[/C][/ROW]
[ROW][C]171[/C][C]0.0173517[/C][C]0.0347033[/C][C]0.982648[/C][/ROW]
[ROW][C]172[/C][C]0.0147163[/C][C]0.0294325[/C][C]0.985284[/C][/ROW]
[ROW][C]173[/C][C]0.0147789[/C][C]0.0295578[/C][C]0.985221[/C][/ROW]
[ROW][C]174[/C][C]0.0205535[/C][C]0.0411069[/C][C]0.979447[/C][/ROW]
[ROW][C]175[/C][C]0.0192566[/C][C]0.0385132[/C][C]0.980743[/C][/ROW]
[ROW][C]176[/C][C]0.0159941[/C][C]0.0319881[/C][C]0.984006[/C][/ROW]
[ROW][C]177[/C][C]0.0139697[/C][C]0.0279395[/C][C]0.98603[/C][/ROW]
[ROW][C]178[/C][C]0.0115727[/C][C]0.0231454[/C][C]0.988427[/C][/ROW]
[ROW][C]179[/C][C]0.00928865[/C][C]0.0185773[/C][C]0.990711[/C][/ROW]
[ROW][C]180[/C][C]0.00900511[/C][C]0.0180102[/C][C]0.990995[/C][/ROW]
[ROW][C]181[/C][C]0.00812934[/C][C]0.0162587[/C][C]0.991871[/C][/ROW]
[ROW][C]182[/C][C]0.00900851[/C][C]0.018017[/C][C]0.990991[/C][/ROW]
[ROW][C]183[/C][C]0.0175094[/C][C]0.0350188[/C][C]0.982491[/C][/ROW]
[ROW][C]184[/C][C]0.0165361[/C][C]0.0330721[/C][C]0.983464[/C][/ROW]
[ROW][C]185[/C][C]0.0493769[/C][C]0.0987538[/C][C]0.950623[/C][/ROW]
[ROW][C]186[/C][C]0.0459468[/C][C]0.0918937[/C][C]0.954053[/C][/ROW]
[ROW][C]187[/C][C]0.0570345[/C][C]0.114069[/C][C]0.942966[/C][/ROW]
[ROW][C]188[/C][C]0.0538739[/C][C]0.107748[/C][C]0.946126[/C][/ROW]
[ROW][C]189[/C][C]0.0515995[/C][C]0.103199[/C][C]0.948401[/C][/ROW]
[ROW][C]190[/C][C]0.0578816[/C][C]0.115763[/C][C]0.942118[/C][/ROW]
[ROW][C]191[/C][C]0.0475717[/C][C]0.0951433[/C][C]0.952428[/C][/ROW]
[ROW][C]192[/C][C]0.0433895[/C][C]0.086779[/C][C]0.95661[/C][/ROW]
[ROW][C]193[/C][C]0.0412089[/C][C]0.0824178[/C][C]0.958791[/C][/ROW]
[ROW][C]194[/C][C]0.0406299[/C][C]0.0812599[/C][C]0.95937[/C][/ROW]
[ROW][C]195[/C][C]0.0337264[/C][C]0.0674528[/C][C]0.966274[/C][/ROW]
[ROW][C]196[/C][C]0.0298166[/C][C]0.0596333[/C][C]0.970183[/C][/ROW]
[ROW][C]197[/C][C]0.0314576[/C][C]0.0629151[/C][C]0.968542[/C][/ROW]
[ROW][C]198[/C][C]0.0280788[/C][C]0.0561576[/C][C]0.971921[/C][/ROW]
[ROW][C]199[/C][C]0.0240343[/C][C]0.0480686[/C][C]0.975966[/C][/ROW]
[ROW][C]200[/C][C]0.023338[/C][C]0.046676[/C][C]0.976662[/C][/ROW]
[ROW][C]201[/C][C]0.0318856[/C][C]0.0637713[/C][C]0.968114[/C][/ROW]
[ROW][C]202[/C][C]0.0252359[/C][C]0.0504718[/C][C]0.974764[/C][/ROW]
[ROW][C]203[/C][C]0.0286058[/C][C]0.0572115[/C][C]0.971394[/C][/ROW]
[ROW][C]204[/C][C]0.024567[/C][C]0.0491339[/C][C]0.975433[/C][/ROW]
[ROW][C]205[/C][C]0.0205357[/C][C]0.0410714[/C][C]0.979464[/C][/ROW]
[ROW][C]206[/C][C]0.0165442[/C][C]0.0330884[/C][C]0.983456[/C][/ROW]
[ROW][C]207[/C][C]0.0158529[/C][C]0.0317058[/C][C]0.984147[/C][/ROW]
[ROW][C]208[/C][C]0.0141718[/C][C]0.0283435[/C][C]0.985828[/C][/ROW]
[ROW][C]209[/C][C]0.0140807[/C][C]0.0281614[/C][C]0.985919[/C][/ROW]
[ROW][C]210[/C][C]0.0117979[/C][C]0.0235958[/C][C]0.988202[/C][/ROW]
[ROW][C]211[/C][C]0.00927585[/C][C]0.0185517[/C][C]0.990724[/C][/ROW]
[ROW][C]212[/C][C]0.0111156[/C][C]0.0222312[/C][C]0.988884[/C][/ROW]
[ROW][C]213[/C][C]0.00875049[/C][C]0.017501[/C][C]0.99125[/C][/ROW]
[ROW][C]214[/C][C]0.00886473[/C][C]0.0177295[/C][C]0.991135[/C][/ROW]
[ROW][C]215[/C][C]0.0104788[/C][C]0.0209575[/C][C]0.989521[/C][/ROW]
[ROW][C]216[/C][C]0.00853032[/C][C]0.0170606[/C][C]0.99147[/C][/ROW]
[ROW][C]217[/C][C]0.00988033[/C][C]0.0197607[/C][C]0.99012[/C][/ROW]
[ROW][C]218[/C][C]0.00828232[/C][C]0.0165646[/C][C]0.991718[/C][/ROW]
[ROW][C]219[/C][C]0.00621406[/C][C]0.0124281[/C][C]0.993786[/C][/ROW]
[ROW][C]220[/C][C]0.0048457[/C][C]0.0096914[/C][C]0.995154[/C][/ROW]
[ROW][C]221[/C][C]0.00379667[/C][C]0.00759334[/C][C]0.996203[/C][/ROW]
[ROW][C]222[/C][C]0.00289471[/C][C]0.00578943[/C][C]0.997105[/C][/ROW]
[ROW][C]223[/C][C]0.00316855[/C][C]0.00633711[/C][C]0.996831[/C][/ROW]
[ROW][C]224[/C][C]0.00249843[/C][C]0.00499686[/C][C]0.997502[/C][/ROW]
[ROW][C]225[/C][C]0.00175369[/C][C]0.00350739[/C][C]0.998246[/C][/ROW]
[ROW][C]226[/C][C]0.0109803[/C][C]0.0219607[/C][C]0.98902[/C][/ROW]
[ROW][C]227[/C][C]0.00803841[/C][C]0.0160768[/C][C]0.991962[/C][/ROW]
[ROW][C]228[/C][C]0.00627056[/C][C]0.0125411[/C][C]0.993729[/C][/ROW]
[ROW][C]229[/C][C]0.00465149[/C][C]0.00930297[/C][C]0.995349[/C][/ROW]
[ROW][C]230[/C][C]0.00343537[/C][C]0.00687074[/C][C]0.996565[/C][/ROW]
[ROW][C]231[/C][C]0.00245125[/C][C]0.00490249[/C][C]0.997549[/C][/ROW]
[ROW][C]232[/C][C]0.00304687[/C][C]0.00609373[/C][C]0.996953[/C][/ROW]
[ROW][C]233[/C][C]0.00296579[/C][C]0.00593158[/C][C]0.997034[/C][/ROW]
[ROW][C]234[/C][C]0.0240158[/C][C]0.0480316[/C][C]0.975984[/C][/ROW]
[ROW][C]235[/C][C]0.0184133[/C][C]0.0368265[/C][C]0.981587[/C][/ROW]
[ROW][C]236[/C][C]0.0142196[/C][C]0.0284392[/C][C]0.98578[/C][/ROW]
[ROW][C]237[/C][C]0.152924[/C][C]0.305849[/C][C]0.847076[/C][/ROW]
[ROW][C]238[/C][C]0.154208[/C][C]0.308417[/C][C]0.845792[/C][/ROW]
[ROW][C]239[/C][C]0.240782[/C][C]0.481564[/C][C]0.759218[/C][/ROW]
[ROW][C]240[/C][C]0.206403[/C][C]0.412807[/C][C]0.793597[/C][/ROW]
[ROW][C]241[/C][C]0.164959[/C][C]0.329917[/C][C]0.835041[/C][/ROW]
[ROW][C]242[/C][C]0.127429[/C][C]0.254859[/C][C]0.872571[/C][/ROW]
[ROW][C]243[/C][C]0.12223[/C][C]0.244459[/C][C]0.87777[/C][/ROW]
[ROW][C]244[/C][C]0.0941272[/C][C]0.188254[/C][C]0.905873[/C][/ROW]
[ROW][C]245[/C][C]0.146737[/C][C]0.293474[/C][C]0.853263[/C][/ROW]
[ROW][C]246[/C][C]0.196323[/C][C]0.392647[/C][C]0.803677[/C][/ROW]
[ROW][C]247[/C][C]0.145858[/C][C]0.291716[/C][C]0.854142[/C][/ROW]
[ROW][C]248[/C][C]0.175771[/C][C]0.351542[/C][C]0.824229[/C][/ROW]
[ROW][C]249[/C][C]0.166101[/C][C]0.332203[/C][C]0.833899[/C][/ROW]
[ROW][C]250[/C][C]0.146765[/C][C]0.293531[/C][C]0.853235[/C][/ROW]
[ROW][C]251[/C][C]0.220424[/C][C]0.440847[/C][C]0.779576[/C][/ROW]
[ROW][C]252[/C][C]0.59661[/C][C]0.80678[/C][C]0.40339[/C][/ROW]
[ROW][C]253[/C][C]0.690781[/C][C]0.618437[/C][C]0.309219[/C][/ROW]
[ROW][C]254[/C][C]0.959786[/C][C]0.0804271[/C][C]0.0402135[/C][/ROW]
[ROW][C]255[/C][C]0.918837[/C][C]0.162325[/C][C]0.0811627[/C][/ROW]
[ROW][C]256[/C][C]0.93225[/C][C]0.135499[/C][C]0.0677496[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253620&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253620&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
80.6651270.6697450.334873
90.5052810.9894380.494719
100.3996570.7993150.600343
110.3218210.6436430.678179
120.4167570.8335150.583243
130.3255840.6511670.674416
140.277950.5559010.72205
150.2961110.5922230.703889
160.2415070.4830140.758493
170.185570.371140.81443
180.4455470.8910940.554453
190.4303750.8607490.569625
200.3587550.7175110.641245
210.2924790.5849590.707521
220.2353930.4707850.764607
230.2631790.5263580.736821
240.2157930.4315870.784207
250.1835520.3671050.816448
260.1472030.2944050.852797
270.1118660.2237330.888134
280.09000290.1800060.909997
290.0672990.1345980.932701
300.0647030.1294060.935297
310.04715740.09431480.952843
320.05856280.1171260.941437
330.0524190.1048380.947581
340.0383330.07666610.961667
350.03008920.06017840.969911
360.1050950.2101890.894905
370.1762820.3525640.823718
380.1557960.3115920.844204
390.1540610.3081210.845939
400.1288670.2577340.871133
410.1044420.2088840.895558
420.08735910.1747180.912641
430.1528760.3057530.847124
440.1315720.2631430.868428
450.1146810.2293620.885319
460.2085910.4171820.791409
470.2193390.4386770.780661
480.185070.370140.81493
490.1552110.3104230.844789
500.1375910.2751830.862409
510.1144230.2288460.885577
520.09314460.1862890.906855
530.08760480.175210.912395
540.07368290.1473660.926317
550.164860.329720.83514
560.1513560.3027120.848644
570.1277850.2555690.872215
580.1177930.2355850.882207
590.09772070.1954410.902279
600.08798860.1759770.912011
610.07154880.1430980.928451
620.05965590.1193120.940344
630.05309210.1061840.946908
640.04274020.08548040.95726
650.03762990.07525970.96237
660.03718430.07436870.962816
670.05022370.1004470.949776
680.1053910.2107820.894609
690.161890.3237810.83811
700.1407040.2814070.859296
710.2789740.5579490.721026
720.2498840.4997680.750116
730.2645510.5291030.735449
740.2551790.5103580.744821
750.244090.488180.75591
760.2570610.5141220.742939
770.2273150.454630.772685
780.2166010.4332010.783399
790.1943910.3887830.805609
800.1798060.3596120.820194
810.1595910.3191820.840409
820.1385980.2771970.861402
830.1198370.2396730.880163
840.1018560.2037130.898144
850.09366110.1873220.906339
860.08755620.1751120.912444
870.07785310.1557060.922147
880.07581220.1516240.924188
890.06992920.1398580.930071
900.0796630.1593260.920337
910.08247120.1649420.917529
920.06979290.1395860.930207
930.06072630.1214530.939274
940.05235520.104710.947645
950.04376780.08753560.956232
960.03870550.0774110.961295
970.03429230.06858450.965708
980.02849580.05699150.971504
990.0238240.04764790.976176
1000.01934530.03869050.980655
1010.01691860.03383730.983081
1020.03650840.07301680.963492
1030.0322320.06446390.967768
1040.02737250.0547450.972628
1050.02673710.05347420.973263
1060.02456250.0491250.975437
1070.02052040.04104080.97948
1080.01898740.03797480.981013
1090.02379250.04758510.976207
1100.02140510.04281020.978595
1110.02105870.04211740.978941
1120.01988050.03976110.980119
1130.0176030.0352060.982397
1140.02400980.04801960.97599
1150.02898650.0579730.971013
1160.024640.04928010.97536
1170.0211330.0422660.978867
1180.02073150.0414630.979269
1190.01799270.03598540.982007
1200.01602530.03205070.983975
1210.01641910.03283820.983581
1220.01768350.03536710.982316
1230.01453880.02907760.985461
1240.01217330.02434660.987827
1250.01117450.0223490.988826
1260.009461030.01892210.990539
1270.008187640.01637530.991812
1280.006421080.01284220.993579
1290.007441290.01488260.992559
1300.006819130.01363830.993181
1310.008919650.01783930.99108
1320.007527250.01505450.992473
1330.006915890.01383180.993084
1340.005861570.01172310.994138
1350.004851840.009703680.995148
1360.003991230.007982460.996009
1370.003146090.006292190.996854
1380.003786860.007573720.996213
1390.004537060.009074120.995463
1400.006308190.01261640.993692
1410.005476960.01095390.994523
1420.004282990.008565970.995717
1430.004811060.009622120.995189
1440.005899350.01179870.994101
1450.0149810.0299620.985019
1460.02769610.05539220.972304
1470.02475170.04950330.975248
1480.0256540.0513080.974346
1490.02151920.04303830.978481
1500.05396080.1079220.946039
1510.04610410.09220830.953896
1520.03908030.07816060.96092
1530.03435730.06871460.965643
1540.02939630.05879260.970604
1550.03989980.07979960.9601
1560.05069770.1013950.949302
1570.04602370.09204740.953976
1580.03803230.07606460.961968
1590.03898850.0779770.961011
1600.03949360.07898720.960506
1610.03445840.06891680.965542
1620.02950060.05900130.970499
1630.02713520.05427050.972865
1640.03315340.06630680.966847
1650.0277550.05550990.972245
1660.03101910.06203810.968981
1670.02532040.05064090.97468
1680.0234750.046950.976525
1690.01978210.03956420.980218
1700.01991790.03983580.980082
1710.01735170.03470330.982648
1720.01471630.02943250.985284
1730.01477890.02955780.985221
1740.02055350.04110690.979447
1750.01925660.03851320.980743
1760.01599410.03198810.984006
1770.01396970.02793950.98603
1780.01157270.02314540.988427
1790.009288650.01857730.990711
1800.009005110.01801020.990995
1810.008129340.01625870.991871
1820.009008510.0180170.990991
1830.01750940.03501880.982491
1840.01653610.03307210.983464
1850.04937690.09875380.950623
1860.04594680.09189370.954053
1870.05703450.1140690.942966
1880.05387390.1077480.946126
1890.05159950.1031990.948401
1900.05788160.1157630.942118
1910.04757170.09514330.952428
1920.04338950.0867790.95661
1930.04120890.08241780.958791
1940.04062990.08125990.95937
1950.03372640.06745280.966274
1960.02981660.05963330.970183
1970.03145760.06291510.968542
1980.02807880.05615760.971921
1990.02403430.04806860.975966
2000.0233380.0466760.976662
2010.03188560.06377130.968114
2020.02523590.05047180.974764
2030.02860580.05721150.971394
2040.0245670.04913390.975433
2050.02053570.04107140.979464
2060.01654420.03308840.983456
2070.01585290.03170580.984147
2080.01417180.02834350.985828
2090.01408070.02816140.985919
2100.01179790.02359580.988202
2110.009275850.01855170.990724
2120.01111560.02223120.988884
2130.008750490.0175010.99125
2140.008864730.01772950.991135
2150.01047880.02095750.989521
2160.008530320.01706060.99147
2170.009880330.01976070.99012
2180.008282320.01656460.991718
2190.006214060.01242810.993786
2200.00484570.00969140.995154
2210.003796670.007593340.996203
2220.002894710.005789430.997105
2230.003168550.006337110.996831
2240.002498430.004996860.997502
2250.001753690.003507390.998246
2260.01098030.02196070.98902
2270.008038410.01607680.991962
2280.006270560.01254110.993729
2290.004651490.009302970.995349
2300.003435370.006870740.996565
2310.002451250.004902490.997549
2320.003046870.006093730.996953
2330.002965790.005931580.997034
2340.02401580.04803160.975984
2350.01841330.03682650.981587
2360.01421960.02843920.98578
2370.1529240.3058490.847076
2380.1542080.3084170.845792
2390.2407820.4815640.759218
2400.2064030.4128070.793597
2410.1649590.3299170.835041
2420.1274290.2548590.872571
2430.122230.2444590.87777
2440.09412720.1882540.905873
2450.1467370.2934740.853263
2460.1963230.3926470.803677
2470.1458580.2917160.854142
2480.1757710.3515420.824229
2490.1661010.3322030.833899
2500.1467650.2935310.853235
2510.2204240.4408470.779576
2520.596610.806780.40339
2530.6907810.6184370.309219
2540.9597860.08042710.0402135
2550.9188370.1623250.0811627
2560.932250.1354990.0677496






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level180.0722892NOK
5% type I error level960.385542NOK
10% type I error level1430.574297NOK

\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 & 18 & 0.0722892 & NOK \tabularnewline
5% type I error level & 96 & 0.385542 & NOK \tabularnewline
10% type I error level & 143 & 0.574297 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253620&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]18[/C][C]0.0722892[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]96[/C][C]0.385542[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]143[/C][C]0.574297[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253620&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253620&T=6

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


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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level180.0722892NOK
5% type I error level960.385542NOK
10% type I error level1430.574297NOK


Figures (Output of Computation)

Figure 1
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Figure 7
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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')
}