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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 computationWed, 20 Nov 2013 17:28:31 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Nov/20/t1384986573ge9fj3kdgysaqi2.htm/, Retrieved Wed, 01 May 2024 22:35:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=226741, Retrieved Wed, 01 May 2024 22:35:18 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact105

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [] [2013-11-04 07:18:26] [0307e7a6407eb638caabc417e3a6b260]
-   PD    [Multiple Regression] [Workshop 7] [2013-11-20 22:28:31] [67d37a8f6529c122cc345ef1d65d5ffd] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
13 12 53 14
16 11 83 18
19 14 66 11
15 12 67 12
14 21 76 16
13 12 78 18
19 22 53 14
15 11 80 14
14 10 74 15
15 13 76 15
16 10 79 17
16 8 54 19
16 15 67 10
16 14 54 16
17 10 87 18
15 14 58 14
15 14 75 14
20 11 88 17
18 10 64 14
16 13 57 16
16 9.5 66 18
16 14 68 11
19 12 54 14
16 14 56 12
17 11 86 17
17 9 80 9
16 11 76 16
15 15 69 14
16 14 78 15
14 13 67 11
15 9 80 16
12 15 54 13
14 10 71 17
16 11 84 15
14 13 74 14
10 8 71 16
10 20 63 9
14 12 71 15
16 10 76 17
16 10 69 13
16 9 74 15
14 14 75 16
20 8 54 16
14 14 52 12
14 11 69 15
11 13 68 11
14 9 65 15
15 11 75 15
16 15 74 17
14 11 75 13
16 10 72 16
14 14 67 14
12 18 63 11
16 14 62 12
9 11 63 12
14 14.5 76 15
16 13 74 16
16 9 67 15
15 10 73 12
16 15 70 12
12 20 53 8
16 12 77 13
16 12 80 11
14 14 52 14
16 13 54 15
17 11 80 10
18 17 66 11
18 12 73 12
12 13 63 15
16 14 69 15
10 13 67 14
14 15 54 16
18 13 81 15
18 10 69 15
16 11 84 13
17 19 80 12
16 13 70 17
16 17 69 13
13 13 77 15
16 9 54 13
16 11 79 15
16 9 71 15
15 12 73 16
15 12 72 15
16 13 77 14
14 13 75 15
16 12 69 14
16 15 54 13
15 22 70 7
12 13 73 17
17 15 54 13
16 13 77 15
15 15 82 14
13 12.5 80 13
16 11 80 16
16 16 69 12
16 11 78 14
16 11 81 17
14 10 76 15
16 10 76 17
16 16 73 12
20 12 85 16
15 11 66 11
16 16 79 15
13 19 68 9
17 11 76 16
16 16 71 15
16 15 54 10
12 24 46 10
16 14 85 15
16 15 74 11
17 11 88 13
13 15 38 14
12 12 76 18
18 10 86 16
14 14 54 14
14 13 67 14
13 9 69 14
16 15 90 14
13 15 54 12
16 14 76 14
13 11 89 15
16 8 76 15
15 11 73 15
16 11 79 13
15 8 90 17
17 10 74 17
15 11 81 19
12 13 72 15
16 11 71 13
10 20 66 9
16 10 77 15
12 15 65 15
14 12 74 15
15 14 85 16
13 23 54 11
15 14 63 14
11 16 54 11
12 11 64 15
11 12 69 13
16 10 54 15
15 14 84 16
17 12 86 14
16 12 77 15
10 11 89 16
18 12 76 16
13 13 60 11
16 11 75 12
13 19 73 9
10 12 85 16
15 17 79 13
16 9 71 16
16 12 72 12
14 19 69 9
10 18 78 13
17 15 54 13
13 14 69 14
15 11 81 19
16 9 84 13
12 18 84 12
13 16 69 13
13 24 66 10
12 14 81 14
17 20 82 16
15 18 72 10
10 23 54 11
14 12 78 14
11 14 74 12
13 16 82 9
16 18 73 9
12 20 55 11
16 12 72 16
12 12 78 9
9 17 59 13
12 13 72 16
15 9 78 13
12 16 68 9
12 18 69 12
14 10 67 16
12 14 74 11
16 11 54 14
11 9 67 13
19 11 70 15
15 10 80 14
8 11 89 16
16 19 76 13
17 14 74 14
12 12 87 15
11 14 54 13
11 21 61 11
14 13 38 11
16 10 75 14
12 15 69 15
16 16 62 11
13 14 72 15
15 12 70 12
16 19 79 14
16 15 87 14
14 19 62 8
16 13 77 13
16 17 69 9
14 12 69 15
11 11 75 17
12 14 54 13
15 11 72 15
15 13 74 15
16 12 85 14
16 15 52 16
11 14 70 13
15 12 84 16
12 17 64 9
12 11 84 16
15 18 87 11
15 13 79 10
16 17 67 11
14 13 65 15
17 11 85 17
14 12 83 14
13 22 61 8
15 14 82 15
13 12 76 11
14 12 58 16
15 17 72 10
12 9 72 15
13 21 38 9
8 10 78 16
14 11 54 19
14 12 63 12
11 23 66 8
12 13 70 11
13 12 71 14
10 16 67 9
16 9 58 15
18 17 72 13
13 9 72 16
11 14 70 11
4 17 76 12
13 13 50 13
16 11 72 10
10 12 72 11
12 10 88 12
12 19 53 8
10 16 58 12
13 16 66 12
15 14 82 15
12 20 69 11
14 15 68 13
10 23 44 14
12 20 56 10
12 16 53 12
11 14 70 15
10 17 78 13
12 11 71 13
16 13 72 13
12 17 68 12
14 15 67 12
16 21 75 9
14 18 62 9
13 15 67 15
4 8 83 10
15 12 64 14
11 12 68 15
11 22 62 7
14 12 72 14

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time12 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 12 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226741&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]12 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226741&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226741&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 time12 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Multiple Linear Regression - Estimated Regression Equation
Happiness[t] = + 15.3447 + 0.115391Learning[t] -0.377668Depression[t] + 0.023582Sport1[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Happiness[t] =  +  15.3447 +  0.115391Learning[t] -0.377668Depression[t] +  0.023582Sport1[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226741&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Happiness[t] =  +  15.3447 +  0.115391Learning[t] -0.377668Depression[t] +  0.023582Sport1[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226741&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226741&T=1

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


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

Multiple Linear Regression - Estimated Regression Equation
Happiness[t] = + 15.3447 + 0.115391Learning[t] -0.377668Depression[t] + 0.023582Sport1[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)15.34471.405810.924.40589e-232.20294e-23
Learning0.1153910.05193322.2220.02714970.0135748
Depression-0.3776680.0385335-9.8011.66972e-198.3486e-20
Sport10.0235820.01264321.8650.06328170.0316408

\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) & 15.3447 & 1.4058 & 10.92 & 4.40589e-23 & 2.20294e-23 \tabularnewline
Learning & 0.115391 & 0.0519332 & 2.222 & 0.0271497 & 0.0135748 \tabularnewline
Depression & -0.377668 & 0.0385335 & -9.801 & 1.66972e-19 & 8.3486e-20 \tabularnewline
Sport1 & 0.023582 & 0.0126432 & 1.865 & 0.0632817 & 0.0316408 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226741&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]15.3447[/C][C]1.4058[/C][C]10.92[/C][C]4.40589e-23[/C][C]2.20294e-23[/C][/ROW]
[ROW][C]Learning[/C][C]0.115391[/C][C]0.0519332[/C][C]2.222[/C][C]0.0271497[/C][C]0.0135748[/C][/ROW]
[ROW][C]Depression[/C][C]-0.377668[/C][C]0.0385335[/C][C]-9.801[/C][C]1.66972e-19[/C][C]8.3486e-20[/C][/ROW]
[ROW][C]Sport1[/C][C]0.023582[/C][C]0.0126432[/C][C]1.865[/C][C]0.0632817[/C][C]0.0316408[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226741&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226741&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)15.34471.405810.924.40589e-232.20294e-23
Learning0.1153910.05193322.2220.02714970.0135748
Depression-0.3776680.0385335-9.8011.66972e-198.3486e-20
Sport10.0235820.01264321.8650.06328170.0316408






Multiple Linear Regression - Regression Statistics
Multiple R0.601717
R-squared0.362064
Adjusted R-squared0.354703
F-TEST (value)49.188
F-TEST (DF numerator)3
F-TEST (DF denominator)260
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.00717
Sum Squared Residuals1047.47

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.601717 \tabularnewline
R-squared & 0.362064 \tabularnewline
Adjusted R-squared & 0.354703 \tabularnewline
F-TEST (value) & 49.188 \tabularnewline
F-TEST (DF numerator) & 3 \tabularnewline
F-TEST (DF denominator) & 260 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.00717 \tabularnewline
Sum Squared Residuals & 1047.47 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226741&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.601717[/C][/ROW]
[ROW][C]R-squared[/C][C]0.362064[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.354703[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]49.188[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]3[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]260[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]2.00717[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]1047.47[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226741&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226741&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 R0.601717
R-squared0.362064
Adjusted R-squared0.354703
F-TEST (value)49.188
F-TEST (DF numerator)3
F-TEST (DF denominator)260
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.00717
Sum Squared Residuals1047.47






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
11413.56260.437426
21814.99393.00612
31113.8062-2.80615
41214.1235-2.12351
51610.82135.17866
61814.15213.84788
71410.47823.52175
81414.8077-0.807739
91514.92850.0714765
101513.95811.04192
111715.27721.72278
121915.4433.557
131013.1059-3.10589
141613.1772.823
151815.58132.41874
161413.15590.844068
171413.55680.443174
181715.57341.42665
191415.1543-1.15427
201613.62542.37459
211815.15952.84052
221113.5071-2.50714
231414.2785-0.278505
241213.2242-1.22416
251715.181.81999
26915.7939-6.79386
271614.82881.1712
281413.03770.962334
291513.7431.25704
301113.6304-2.63045
311615.56310.436925
321312.33780.662239
331714.85782.14222
341515.0175-0.0174587
351413.79550.20448
361615.15150.848453
37910.4309-1.43088
381514.10240.897558
391715.20651.79353
401315.0414-2.0414
411515.537-0.536974
421613.44142.55857
431615.90460.0954323
441212.899-0.899048
451514.43290.567054
461113.3079-2.30785
471515.094-0.0939532
481514.68980.310171
491713.2713.72903
501314.5744-1.57444
511615.11210.887858
521413.25280.747222
531111.417-0.416996
541213.3657-1.36565
551213.7145-1.7145
561513.27621.72382
571614.02631.9737
581515.3719-0.3719
591215.0203-3.02033
601213.1766-1.17664
61810.4258-2.42584
621314.4747-1.47472
631114.5455-3.54546
641412.8991.10095
651513.55471.44534
661015.0385-5.03852
671112.5578-1.55776
681214.6112-2.61117
691513.30531.69466
701513.53071.46927
711413.16890.83112
721612.56853.43146
731514.42220.57784
741515.2722-0.272179
751315.0175-2.01746
761212.0172-0.0171799
771713.9323.06802
781312.39770.602278
791513.75091.24913
801315.0653-2.06533
811514.89950.100451
821515.4662-0.466228
831614.2651.735
841514.24140.758585
851414.097-0.0970491
861513.81911.1809
871414.2861-0.286061
881312.79930.200673
89710.4176-3.41757
901713.54123.45884
911312.91470.0852812
921514.0970.902951
931413.34420.655768
941314.0105-1.01045
951614.92311.07687
961212.7754-0.77539
971414.876-0.875967
981714.94672.05329
991514.97570.0243125
1001715.20651.79353
1011212.8697-0.869718
1021615.12490.875061
1031114.4776-3.47759
1041513.01121.98879
105911.2726-2.27263
1061614.94421.05581
1071512.82262.17745
1081012.7993-2.79933
109108.75011.2499
1101513.9081.09196
1111113.271-2.27097
1121315.2272-2.22718
1131412.07581.92416
1141813.98964.01043
1151615.67310.326927
1161412.94621.05379
1171413.63040.369554
1181415.0729-1.07289
1191413.64830.35172
1201212.4532-0.453153
1211413.69580.304201
1221514.78920.210806
1231515.9618-0.961806
1241514.64270.357335
1251314.8995-1.89955
1261716.17660.823437
1271715.27471.7253
1281914.83134.16868
1291513.51761.48243
1301314.7109-1.71089
131910.5016-1.50162
1321515.2301-0.230052
1331512.59722.40284
1341514.17320.826812
1351613.79262.20735
136119.431811.56819
1371413.27380.726158
1381111.8447-0.844702
1391514.08430.915747
1401313.7091-0.709103
1411514.68770.312334
1421613.76912.23094
1431414.8023-0.802346
1441514.47470.525283
1451614.4431.55698
1461614.68191.31808
1471113.35-2.34998
1481214.8052-2.80522
149911.3905-2.39054
1501613.9712.02898
1511312.51820.481849
1521615.46620.533772
1531214.3568-2.35681
154911.4116-2.4116
1551311.53991.46006
1561312.91470.0852812
1571413.18460.815449
1581914.83134.16868
1591315.7728-2.77279
1601211.91220.0877816
1611312.42920.570785
162109.337130.662873
1631413.35210.647856
1641611.68674.31332
1651011.9754-1.97541
166119.085641.91436
1671414.2675-0.267516
1681213.0717-1.07168
169912.7358-3.73578
170912.1144-3.11438
1711110.4730.526995
1721614.35681.64319
173914.0367-5.03673
1741311.35421.64584
1751613.51762.48243
1761315.5159-2.51591
177912.2902-3.29024
1781211.55850.441512
1791614.76341.23655
1801113.1871-2.18707
1811414.31-0.309998
1821314.7949-1.79494
1831515.0335-0.033485
1841415.1854-1.18541
1851614.21221.78776
1861311.80751.19254
1871413.7640.235973
1881514.2490.751029
1891312.60.399962
1901110.12140.878563
1911112.9466-1.94657
1921415.1829-1.18289
1931512.69152.30851
1941112.6103-1.61032
1951513.25531.7447
1961214.1943-2.19425
1971411.87822.12179
1981413.57750.422466
199811.2465-3.24653
2001314.097-1.09705
201912.3977-3.39772
2021514.05530.944722
2031714.22832.77174
2041312.71540.284571
2051514.61910.380917
2061513.91091.08909
2071414.6634-0.663373
2081612.75223.24784
2091312.97730.0226501
2101614.52441.4756
211911.8182-2.81825
2121614.55591.44411
2131112.3291-1.32914
2141014.0288-4.02882
2151112.3506-1.35056
2161513.58331.41672
2171715.15641.84357
2181414.3854-0.385426
21989.97455-1.97455
2201513.72191.2781
2211114.105-3.10496
2221613.79592.20412
2231012.3531-2.35308
2241515.0282-0.0282443
22599.80983-0.809834
2261614.33051.6695
2271914.07924.92078
2281213.9138-1.91379
22989.48401-1.48401
2301113.4704-2.47041
2311413.98710.0129496
232912.0359-3.03588
2331515.1597-0.159662
2341312.69930.300749
2351615.14360.856364
2361112.9773-1.97735
2371211.17810.821902
2381313.1142-0.11416
2391014.7345-4.73447
2401113.6645-2.66446
2411215.0279-3.02789
242810.8035-2.80351
2431211.82360.176361
2441212.3585-0.358469
2451513.72191.2781
2461110.80320.196847
2471312.89870.101307
248148.849825.15018
2491010.4966-0.496587
2501211.93650.0634883
2511512.97732.02265
2521311.91761.08239
2531314.2493-1.24933
2541313.9791-0.979139
2551211.91260.087426
2561212.8751-0.875111
257911.0285-2.02854
258911.6242-2.6242
2591512.75972.24028
2601014.7422-4.74218
2611414.0528-0.0527593
2621513.68551.31448
26379.76735-2.76735
2641414.126-0.126024

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 14 & 13.5626 & 0.437426 \tabularnewline
2 & 18 & 14.9939 & 3.00612 \tabularnewline
3 & 11 & 13.8062 & -2.80615 \tabularnewline
4 & 12 & 14.1235 & -2.12351 \tabularnewline
5 & 16 & 10.8213 & 5.17866 \tabularnewline
6 & 18 & 14.1521 & 3.84788 \tabularnewline
7 & 14 & 10.4782 & 3.52175 \tabularnewline
8 & 14 & 14.8077 & -0.807739 \tabularnewline
9 & 15 & 14.9285 & 0.0714765 \tabularnewline
10 & 15 & 13.9581 & 1.04192 \tabularnewline
11 & 17 & 15.2772 & 1.72278 \tabularnewline
12 & 19 & 15.443 & 3.557 \tabularnewline
13 & 10 & 13.1059 & -3.10589 \tabularnewline
14 & 16 & 13.177 & 2.823 \tabularnewline
15 & 18 & 15.5813 & 2.41874 \tabularnewline
16 & 14 & 13.1559 & 0.844068 \tabularnewline
17 & 14 & 13.5568 & 0.443174 \tabularnewline
18 & 17 & 15.5734 & 1.42665 \tabularnewline
19 & 14 & 15.1543 & -1.15427 \tabularnewline
20 & 16 & 13.6254 & 2.37459 \tabularnewline
21 & 18 & 15.1595 & 2.84052 \tabularnewline
22 & 11 & 13.5071 & -2.50714 \tabularnewline
23 & 14 & 14.2785 & -0.278505 \tabularnewline
24 & 12 & 13.2242 & -1.22416 \tabularnewline
25 & 17 & 15.18 & 1.81999 \tabularnewline
26 & 9 & 15.7939 & -6.79386 \tabularnewline
27 & 16 & 14.8288 & 1.1712 \tabularnewline
28 & 14 & 13.0377 & 0.962334 \tabularnewline
29 & 15 & 13.743 & 1.25704 \tabularnewline
30 & 11 & 13.6304 & -2.63045 \tabularnewline
31 & 16 & 15.5631 & 0.436925 \tabularnewline
32 & 13 & 12.3378 & 0.662239 \tabularnewline
33 & 17 & 14.8578 & 2.14222 \tabularnewline
34 & 15 & 15.0175 & -0.0174587 \tabularnewline
35 & 14 & 13.7955 & 0.20448 \tabularnewline
36 & 16 & 15.1515 & 0.848453 \tabularnewline
37 & 9 & 10.4309 & -1.43088 \tabularnewline
38 & 15 & 14.1024 & 0.897558 \tabularnewline
39 & 17 & 15.2065 & 1.79353 \tabularnewline
40 & 13 & 15.0414 & -2.0414 \tabularnewline
41 & 15 & 15.537 & -0.536974 \tabularnewline
42 & 16 & 13.4414 & 2.55857 \tabularnewline
43 & 16 & 15.9046 & 0.0954323 \tabularnewline
44 & 12 & 12.899 & -0.899048 \tabularnewline
45 & 15 & 14.4329 & 0.567054 \tabularnewline
46 & 11 & 13.3079 & -2.30785 \tabularnewline
47 & 15 & 15.094 & -0.0939532 \tabularnewline
48 & 15 & 14.6898 & 0.310171 \tabularnewline
49 & 17 & 13.271 & 3.72903 \tabularnewline
50 & 13 & 14.5744 & -1.57444 \tabularnewline
51 & 16 & 15.1121 & 0.887858 \tabularnewline
52 & 14 & 13.2528 & 0.747222 \tabularnewline
53 & 11 & 11.417 & -0.416996 \tabularnewline
54 & 12 & 13.3657 & -1.36565 \tabularnewline
55 & 12 & 13.7145 & -1.7145 \tabularnewline
56 & 15 & 13.2762 & 1.72382 \tabularnewline
57 & 16 & 14.0263 & 1.9737 \tabularnewline
58 & 15 & 15.3719 & -0.3719 \tabularnewline
59 & 12 & 15.0203 & -3.02033 \tabularnewline
60 & 12 & 13.1766 & -1.17664 \tabularnewline
61 & 8 & 10.4258 & -2.42584 \tabularnewline
62 & 13 & 14.4747 & -1.47472 \tabularnewline
63 & 11 & 14.5455 & -3.54546 \tabularnewline
64 & 14 & 12.899 & 1.10095 \tabularnewline
65 & 15 & 13.5547 & 1.44534 \tabularnewline
66 & 10 & 15.0385 & -5.03852 \tabularnewline
67 & 11 & 12.5578 & -1.55776 \tabularnewline
68 & 12 & 14.6112 & -2.61117 \tabularnewline
69 & 15 & 13.3053 & 1.69466 \tabularnewline
70 & 15 & 13.5307 & 1.46927 \tabularnewline
71 & 14 & 13.1689 & 0.83112 \tabularnewline
72 & 16 & 12.5685 & 3.43146 \tabularnewline
73 & 15 & 14.4222 & 0.57784 \tabularnewline
74 & 15 & 15.2722 & -0.272179 \tabularnewline
75 & 13 & 15.0175 & -2.01746 \tabularnewline
76 & 12 & 12.0172 & -0.0171799 \tabularnewline
77 & 17 & 13.932 & 3.06802 \tabularnewline
78 & 13 & 12.3977 & 0.602278 \tabularnewline
79 & 15 & 13.7509 & 1.24913 \tabularnewline
80 & 13 & 15.0653 & -2.06533 \tabularnewline
81 & 15 & 14.8995 & 0.100451 \tabularnewline
82 & 15 & 15.4662 & -0.466228 \tabularnewline
83 & 16 & 14.265 & 1.735 \tabularnewline
84 & 15 & 14.2414 & 0.758585 \tabularnewline
85 & 14 & 14.097 & -0.0970491 \tabularnewline
86 & 15 & 13.8191 & 1.1809 \tabularnewline
87 & 14 & 14.2861 & -0.286061 \tabularnewline
88 & 13 & 12.7993 & 0.200673 \tabularnewline
89 & 7 & 10.4176 & -3.41757 \tabularnewline
90 & 17 & 13.5412 & 3.45884 \tabularnewline
91 & 13 & 12.9147 & 0.0852812 \tabularnewline
92 & 15 & 14.097 & 0.902951 \tabularnewline
93 & 14 & 13.3442 & 0.655768 \tabularnewline
94 & 13 & 14.0105 & -1.01045 \tabularnewline
95 & 16 & 14.9231 & 1.07687 \tabularnewline
96 & 12 & 12.7754 & -0.77539 \tabularnewline
97 & 14 & 14.876 & -0.875967 \tabularnewline
98 & 17 & 14.9467 & 2.05329 \tabularnewline
99 & 15 & 14.9757 & 0.0243125 \tabularnewline
100 & 17 & 15.2065 & 1.79353 \tabularnewline
101 & 12 & 12.8697 & -0.869718 \tabularnewline
102 & 16 & 15.1249 & 0.875061 \tabularnewline
103 & 11 & 14.4776 & -3.47759 \tabularnewline
104 & 15 & 13.0112 & 1.98879 \tabularnewline
105 & 9 & 11.2726 & -2.27263 \tabularnewline
106 & 16 & 14.9442 & 1.05581 \tabularnewline
107 & 15 & 12.8226 & 2.17745 \tabularnewline
108 & 10 & 12.7993 & -2.79933 \tabularnewline
109 & 10 & 8.7501 & 1.2499 \tabularnewline
110 & 15 & 13.908 & 1.09196 \tabularnewline
111 & 11 & 13.271 & -2.27097 \tabularnewline
112 & 13 & 15.2272 & -2.22718 \tabularnewline
113 & 14 & 12.0758 & 1.92416 \tabularnewline
114 & 18 & 13.9896 & 4.01043 \tabularnewline
115 & 16 & 15.6731 & 0.326927 \tabularnewline
116 & 14 & 12.9462 & 1.05379 \tabularnewline
117 & 14 & 13.6304 & 0.369554 \tabularnewline
118 & 14 & 15.0729 & -1.07289 \tabularnewline
119 & 14 & 13.6483 & 0.35172 \tabularnewline
120 & 12 & 12.4532 & -0.453153 \tabularnewline
121 & 14 & 13.6958 & 0.304201 \tabularnewline
122 & 15 & 14.7892 & 0.210806 \tabularnewline
123 & 15 & 15.9618 & -0.961806 \tabularnewline
124 & 15 & 14.6427 & 0.357335 \tabularnewline
125 & 13 & 14.8995 & -1.89955 \tabularnewline
126 & 17 & 16.1766 & 0.823437 \tabularnewline
127 & 17 & 15.2747 & 1.7253 \tabularnewline
128 & 19 & 14.8313 & 4.16868 \tabularnewline
129 & 15 & 13.5176 & 1.48243 \tabularnewline
130 & 13 & 14.7109 & -1.71089 \tabularnewline
131 & 9 & 10.5016 & -1.50162 \tabularnewline
132 & 15 & 15.2301 & -0.230052 \tabularnewline
133 & 15 & 12.5972 & 2.40284 \tabularnewline
134 & 15 & 14.1732 & 0.826812 \tabularnewline
135 & 16 & 13.7926 & 2.20735 \tabularnewline
136 & 11 & 9.43181 & 1.56819 \tabularnewline
137 & 14 & 13.2738 & 0.726158 \tabularnewline
138 & 11 & 11.8447 & -0.844702 \tabularnewline
139 & 15 & 14.0843 & 0.915747 \tabularnewline
140 & 13 & 13.7091 & -0.709103 \tabularnewline
141 & 15 & 14.6877 & 0.312334 \tabularnewline
142 & 16 & 13.7691 & 2.23094 \tabularnewline
143 & 14 & 14.8023 & -0.802346 \tabularnewline
144 & 15 & 14.4747 & 0.525283 \tabularnewline
145 & 16 & 14.443 & 1.55698 \tabularnewline
146 & 16 & 14.6819 & 1.31808 \tabularnewline
147 & 11 & 13.35 & -2.34998 \tabularnewline
148 & 12 & 14.8052 & -2.80522 \tabularnewline
149 & 9 & 11.3905 & -2.39054 \tabularnewline
150 & 16 & 13.971 & 2.02898 \tabularnewline
151 & 13 & 12.5182 & 0.481849 \tabularnewline
152 & 16 & 15.4662 & 0.533772 \tabularnewline
153 & 12 & 14.3568 & -2.35681 \tabularnewline
154 & 9 & 11.4116 & -2.4116 \tabularnewline
155 & 13 & 11.5399 & 1.46006 \tabularnewline
156 & 13 & 12.9147 & 0.0852812 \tabularnewline
157 & 14 & 13.1846 & 0.815449 \tabularnewline
158 & 19 & 14.8313 & 4.16868 \tabularnewline
159 & 13 & 15.7728 & -2.77279 \tabularnewline
160 & 12 & 11.9122 & 0.0877816 \tabularnewline
161 & 13 & 12.4292 & 0.570785 \tabularnewline
162 & 10 & 9.33713 & 0.662873 \tabularnewline
163 & 14 & 13.3521 & 0.647856 \tabularnewline
164 & 16 & 11.6867 & 4.31332 \tabularnewline
165 & 10 & 11.9754 & -1.97541 \tabularnewline
166 & 11 & 9.08564 & 1.91436 \tabularnewline
167 & 14 & 14.2675 & -0.267516 \tabularnewline
168 & 12 & 13.0717 & -1.07168 \tabularnewline
169 & 9 & 12.7358 & -3.73578 \tabularnewline
170 & 9 & 12.1144 & -3.11438 \tabularnewline
171 & 11 & 10.473 & 0.526995 \tabularnewline
172 & 16 & 14.3568 & 1.64319 \tabularnewline
173 & 9 & 14.0367 & -5.03673 \tabularnewline
174 & 13 & 11.3542 & 1.64584 \tabularnewline
175 & 16 & 13.5176 & 2.48243 \tabularnewline
176 & 13 & 15.5159 & -2.51591 \tabularnewline
177 & 9 & 12.2902 & -3.29024 \tabularnewline
178 & 12 & 11.5585 & 0.441512 \tabularnewline
179 & 16 & 14.7634 & 1.23655 \tabularnewline
180 & 11 & 13.1871 & -2.18707 \tabularnewline
181 & 14 & 14.31 & -0.309998 \tabularnewline
182 & 13 & 14.7949 & -1.79494 \tabularnewline
183 & 15 & 15.0335 & -0.033485 \tabularnewline
184 & 14 & 15.1854 & -1.18541 \tabularnewline
185 & 16 & 14.2122 & 1.78776 \tabularnewline
186 & 13 & 11.8075 & 1.19254 \tabularnewline
187 & 14 & 13.764 & 0.235973 \tabularnewline
188 & 15 & 14.249 & 0.751029 \tabularnewline
189 & 13 & 12.6 & 0.399962 \tabularnewline
190 & 11 & 10.1214 & 0.878563 \tabularnewline
191 & 11 & 12.9466 & -1.94657 \tabularnewline
192 & 14 & 15.1829 & -1.18289 \tabularnewline
193 & 15 & 12.6915 & 2.30851 \tabularnewline
194 & 11 & 12.6103 & -1.61032 \tabularnewline
195 & 15 & 13.2553 & 1.7447 \tabularnewline
196 & 12 & 14.1943 & -2.19425 \tabularnewline
197 & 14 & 11.8782 & 2.12179 \tabularnewline
198 & 14 & 13.5775 & 0.422466 \tabularnewline
199 & 8 & 11.2465 & -3.24653 \tabularnewline
200 & 13 & 14.097 & -1.09705 \tabularnewline
201 & 9 & 12.3977 & -3.39772 \tabularnewline
202 & 15 & 14.0553 & 0.944722 \tabularnewline
203 & 17 & 14.2283 & 2.77174 \tabularnewline
204 & 13 & 12.7154 & 0.284571 \tabularnewline
205 & 15 & 14.6191 & 0.380917 \tabularnewline
206 & 15 & 13.9109 & 1.08909 \tabularnewline
207 & 14 & 14.6634 & -0.663373 \tabularnewline
208 & 16 & 12.7522 & 3.24784 \tabularnewline
209 & 13 & 12.9773 & 0.0226501 \tabularnewline
210 & 16 & 14.5244 & 1.4756 \tabularnewline
211 & 9 & 11.8182 & -2.81825 \tabularnewline
212 & 16 & 14.5559 & 1.44411 \tabularnewline
213 & 11 & 12.3291 & -1.32914 \tabularnewline
214 & 10 & 14.0288 & -4.02882 \tabularnewline
215 & 11 & 12.3506 & -1.35056 \tabularnewline
216 & 15 & 13.5833 & 1.41672 \tabularnewline
217 & 17 & 15.1564 & 1.84357 \tabularnewline
218 & 14 & 14.3854 & -0.385426 \tabularnewline
219 & 8 & 9.97455 & -1.97455 \tabularnewline
220 & 15 & 13.7219 & 1.2781 \tabularnewline
221 & 11 & 14.105 & -3.10496 \tabularnewline
222 & 16 & 13.7959 & 2.20412 \tabularnewline
223 & 10 & 12.3531 & -2.35308 \tabularnewline
224 & 15 & 15.0282 & -0.0282443 \tabularnewline
225 & 9 & 9.80983 & -0.809834 \tabularnewline
226 & 16 & 14.3305 & 1.6695 \tabularnewline
227 & 19 & 14.0792 & 4.92078 \tabularnewline
228 & 12 & 13.9138 & -1.91379 \tabularnewline
229 & 8 & 9.48401 & -1.48401 \tabularnewline
230 & 11 & 13.4704 & -2.47041 \tabularnewline
231 & 14 & 13.9871 & 0.0129496 \tabularnewline
232 & 9 & 12.0359 & -3.03588 \tabularnewline
233 & 15 & 15.1597 & -0.159662 \tabularnewline
234 & 13 & 12.6993 & 0.300749 \tabularnewline
235 & 16 & 15.1436 & 0.856364 \tabularnewline
236 & 11 & 12.9773 & -1.97735 \tabularnewline
237 & 12 & 11.1781 & 0.821902 \tabularnewline
238 & 13 & 13.1142 & -0.11416 \tabularnewline
239 & 10 & 14.7345 & -4.73447 \tabularnewline
240 & 11 & 13.6645 & -2.66446 \tabularnewline
241 & 12 & 15.0279 & -3.02789 \tabularnewline
242 & 8 & 10.8035 & -2.80351 \tabularnewline
243 & 12 & 11.8236 & 0.176361 \tabularnewline
244 & 12 & 12.3585 & -0.358469 \tabularnewline
245 & 15 & 13.7219 & 1.2781 \tabularnewline
246 & 11 & 10.8032 & 0.196847 \tabularnewline
247 & 13 & 12.8987 & 0.101307 \tabularnewline
248 & 14 & 8.84982 & 5.15018 \tabularnewline
249 & 10 & 10.4966 & -0.496587 \tabularnewline
250 & 12 & 11.9365 & 0.0634883 \tabularnewline
251 & 15 & 12.9773 & 2.02265 \tabularnewline
252 & 13 & 11.9176 & 1.08239 \tabularnewline
253 & 13 & 14.2493 & -1.24933 \tabularnewline
254 & 13 & 13.9791 & -0.979139 \tabularnewline
255 & 12 & 11.9126 & 0.087426 \tabularnewline
256 & 12 & 12.8751 & -0.875111 \tabularnewline
257 & 9 & 11.0285 & -2.02854 \tabularnewline
258 & 9 & 11.6242 & -2.6242 \tabularnewline
259 & 15 & 12.7597 & 2.24028 \tabularnewline
260 & 10 & 14.7422 & -4.74218 \tabularnewline
261 & 14 & 14.0528 & -0.0527593 \tabularnewline
262 & 15 & 13.6855 & 1.31448 \tabularnewline
263 & 7 & 9.76735 & -2.76735 \tabularnewline
264 & 14 & 14.126 & -0.126024 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226741&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]14[/C][C]13.5626[/C][C]0.437426[/C][/ROW]
[ROW][C]2[/C][C]18[/C][C]14.9939[/C][C]3.00612[/C][/ROW]
[ROW][C]3[/C][C]11[/C][C]13.8062[/C][C]-2.80615[/C][/ROW]
[ROW][C]4[/C][C]12[/C][C]14.1235[/C][C]-2.12351[/C][/ROW]
[ROW][C]5[/C][C]16[/C][C]10.8213[/C][C]5.17866[/C][/ROW]
[ROW][C]6[/C][C]18[/C][C]14.1521[/C][C]3.84788[/C][/ROW]
[ROW][C]7[/C][C]14[/C][C]10.4782[/C][C]3.52175[/C][/ROW]
[ROW][C]8[/C][C]14[/C][C]14.8077[/C][C]-0.807739[/C][/ROW]
[ROW][C]9[/C][C]15[/C][C]14.9285[/C][C]0.0714765[/C][/ROW]
[ROW][C]10[/C][C]15[/C][C]13.9581[/C][C]1.04192[/C][/ROW]
[ROW][C]11[/C][C]17[/C][C]15.2772[/C][C]1.72278[/C][/ROW]
[ROW][C]12[/C][C]19[/C][C]15.443[/C][C]3.557[/C][/ROW]
[ROW][C]13[/C][C]10[/C][C]13.1059[/C][C]-3.10589[/C][/ROW]
[ROW][C]14[/C][C]16[/C][C]13.177[/C][C]2.823[/C][/ROW]
[ROW][C]15[/C][C]18[/C][C]15.5813[/C][C]2.41874[/C][/ROW]
[ROW][C]16[/C][C]14[/C][C]13.1559[/C][C]0.844068[/C][/ROW]
[ROW][C]17[/C][C]14[/C][C]13.5568[/C][C]0.443174[/C][/ROW]
[ROW][C]18[/C][C]17[/C][C]15.5734[/C][C]1.42665[/C][/ROW]
[ROW][C]19[/C][C]14[/C][C]15.1543[/C][C]-1.15427[/C][/ROW]
[ROW][C]20[/C][C]16[/C][C]13.6254[/C][C]2.37459[/C][/ROW]
[ROW][C]21[/C][C]18[/C][C]15.1595[/C][C]2.84052[/C][/ROW]
[ROW][C]22[/C][C]11[/C][C]13.5071[/C][C]-2.50714[/C][/ROW]
[ROW][C]23[/C][C]14[/C][C]14.2785[/C][C]-0.278505[/C][/ROW]
[ROW][C]24[/C][C]12[/C][C]13.2242[/C][C]-1.22416[/C][/ROW]
[ROW][C]25[/C][C]17[/C][C]15.18[/C][C]1.81999[/C][/ROW]
[ROW][C]26[/C][C]9[/C][C]15.7939[/C][C]-6.79386[/C][/ROW]
[ROW][C]27[/C][C]16[/C][C]14.8288[/C][C]1.1712[/C][/ROW]
[ROW][C]28[/C][C]14[/C][C]13.0377[/C][C]0.962334[/C][/ROW]
[ROW][C]29[/C][C]15[/C][C]13.743[/C][C]1.25704[/C][/ROW]
[ROW][C]30[/C][C]11[/C][C]13.6304[/C][C]-2.63045[/C][/ROW]
[ROW][C]31[/C][C]16[/C][C]15.5631[/C][C]0.436925[/C][/ROW]
[ROW][C]32[/C][C]13[/C][C]12.3378[/C][C]0.662239[/C][/ROW]
[ROW][C]33[/C][C]17[/C][C]14.8578[/C][C]2.14222[/C][/ROW]
[ROW][C]34[/C][C]15[/C][C]15.0175[/C][C]-0.0174587[/C][/ROW]
[ROW][C]35[/C][C]14[/C][C]13.7955[/C][C]0.20448[/C][/ROW]
[ROW][C]36[/C][C]16[/C][C]15.1515[/C][C]0.848453[/C][/ROW]
[ROW][C]37[/C][C]9[/C][C]10.4309[/C][C]-1.43088[/C][/ROW]
[ROW][C]38[/C][C]15[/C][C]14.1024[/C][C]0.897558[/C][/ROW]
[ROW][C]39[/C][C]17[/C][C]15.2065[/C][C]1.79353[/C][/ROW]
[ROW][C]40[/C][C]13[/C][C]15.0414[/C][C]-2.0414[/C][/ROW]
[ROW][C]41[/C][C]15[/C][C]15.537[/C][C]-0.536974[/C][/ROW]
[ROW][C]42[/C][C]16[/C][C]13.4414[/C][C]2.55857[/C][/ROW]
[ROW][C]43[/C][C]16[/C][C]15.9046[/C][C]0.0954323[/C][/ROW]
[ROW][C]44[/C][C]12[/C][C]12.899[/C][C]-0.899048[/C][/ROW]
[ROW][C]45[/C][C]15[/C][C]14.4329[/C][C]0.567054[/C][/ROW]
[ROW][C]46[/C][C]11[/C][C]13.3079[/C][C]-2.30785[/C][/ROW]
[ROW][C]47[/C][C]15[/C][C]15.094[/C][C]-0.0939532[/C][/ROW]
[ROW][C]48[/C][C]15[/C][C]14.6898[/C][C]0.310171[/C][/ROW]
[ROW][C]49[/C][C]17[/C][C]13.271[/C][C]3.72903[/C][/ROW]
[ROW][C]50[/C][C]13[/C][C]14.5744[/C][C]-1.57444[/C][/ROW]
[ROW][C]51[/C][C]16[/C][C]15.1121[/C][C]0.887858[/C][/ROW]
[ROW][C]52[/C][C]14[/C][C]13.2528[/C][C]0.747222[/C][/ROW]
[ROW][C]53[/C][C]11[/C][C]11.417[/C][C]-0.416996[/C][/ROW]
[ROW][C]54[/C][C]12[/C][C]13.3657[/C][C]-1.36565[/C][/ROW]
[ROW][C]55[/C][C]12[/C][C]13.7145[/C][C]-1.7145[/C][/ROW]
[ROW][C]56[/C][C]15[/C][C]13.2762[/C][C]1.72382[/C][/ROW]
[ROW][C]57[/C][C]16[/C][C]14.0263[/C][C]1.9737[/C][/ROW]
[ROW][C]58[/C][C]15[/C][C]15.3719[/C][C]-0.3719[/C][/ROW]
[ROW][C]59[/C][C]12[/C][C]15.0203[/C][C]-3.02033[/C][/ROW]
[ROW][C]60[/C][C]12[/C][C]13.1766[/C][C]-1.17664[/C][/ROW]
[ROW][C]61[/C][C]8[/C][C]10.4258[/C][C]-2.42584[/C][/ROW]
[ROW][C]62[/C][C]13[/C][C]14.4747[/C][C]-1.47472[/C][/ROW]
[ROW][C]63[/C][C]11[/C][C]14.5455[/C][C]-3.54546[/C][/ROW]
[ROW][C]64[/C][C]14[/C][C]12.899[/C][C]1.10095[/C][/ROW]
[ROW][C]65[/C][C]15[/C][C]13.5547[/C][C]1.44534[/C][/ROW]
[ROW][C]66[/C][C]10[/C][C]15.0385[/C][C]-5.03852[/C][/ROW]
[ROW][C]67[/C][C]11[/C][C]12.5578[/C][C]-1.55776[/C][/ROW]
[ROW][C]68[/C][C]12[/C][C]14.6112[/C][C]-2.61117[/C][/ROW]
[ROW][C]69[/C][C]15[/C][C]13.3053[/C][C]1.69466[/C][/ROW]
[ROW][C]70[/C][C]15[/C][C]13.5307[/C][C]1.46927[/C][/ROW]
[ROW][C]71[/C][C]14[/C][C]13.1689[/C][C]0.83112[/C][/ROW]
[ROW][C]72[/C][C]16[/C][C]12.5685[/C][C]3.43146[/C][/ROW]
[ROW][C]73[/C][C]15[/C][C]14.4222[/C][C]0.57784[/C][/ROW]
[ROW][C]74[/C][C]15[/C][C]15.2722[/C][C]-0.272179[/C][/ROW]
[ROW][C]75[/C][C]13[/C][C]15.0175[/C][C]-2.01746[/C][/ROW]
[ROW][C]76[/C][C]12[/C][C]12.0172[/C][C]-0.0171799[/C][/ROW]
[ROW][C]77[/C][C]17[/C][C]13.932[/C][C]3.06802[/C][/ROW]
[ROW][C]78[/C][C]13[/C][C]12.3977[/C][C]0.602278[/C][/ROW]
[ROW][C]79[/C][C]15[/C][C]13.7509[/C][C]1.24913[/C][/ROW]
[ROW][C]80[/C][C]13[/C][C]15.0653[/C][C]-2.06533[/C][/ROW]
[ROW][C]81[/C][C]15[/C][C]14.8995[/C][C]0.100451[/C][/ROW]
[ROW][C]82[/C][C]15[/C][C]15.4662[/C][C]-0.466228[/C][/ROW]
[ROW][C]83[/C][C]16[/C][C]14.265[/C][C]1.735[/C][/ROW]
[ROW][C]84[/C][C]15[/C][C]14.2414[/C][C]0.758585[/C][/ROW]
[ROW][C]85[/C][C]14[/C][C]14.097[/C][C]-0.0970491[/C][/ROW]
[ROW][C]86[/C][C]15[/C][C]13.8191[/C][C]1.1809[/C][/ROW]
[ROW][C]87[/C][C]14[/C][C]14.2861[/C][C]-0.286061[/C][/ROW]
[ROW][C]88[/C][C]13[/C][C]12.7993[/C][C]0.200673[/C][/ROW]
[ROW][C]89[/C][C]7[/C][C]10.4176[/C][C]-3.41757[/C][/ROW]
[ROW][C]90[/C][C]17[/C][C]13.5412[/C][C]3.45884[/C][/ROW]
[ROW][C]91[/C][C]13[/C][C]12.9147[/C][C]0.0852812[/C][/ROW]
[ROW][C]92[/C][C]15[/C][C]14.097[/C][C]0.902951[/C][/ROW]
[ROW][C]93[/C][C]14[/C][C]13.3442[/C][C]0.655768[/C][/ROW]
[ROW][C]94[/C][C]13[/C][C]14.0105[/C][C]-1.01045[/C][/ROW]
[ROW][C]95[/C][C]16[/C][C]14.9231[/C][C]1.07687[/C][/ROW]
[ROW][C]96[/C][C]12[/C][C]12.7754[/C][C]-0.77539[/C][/ROW]
[ROW][C]97[/C][C]14[/C][C]14.876[/C][C]-0.875967[/C][/ROW]
[ROW][C]98[/C][C]17[/C][C]14.9467[/C][C]2.05329[/C][/ROW]
[ROW][C]99[/C][C]15[/C][C]14.9757[/C][C]0.0243125[/C][/ROW]
[ROW][C]100[/C][C]17[/C][C]15.2065[/C][C]1.79353[/C][/ROW]
[ROW][C]101[/C][C]12[/C][C]12.8697[/C][C]-0.869718[/C][/ROW]
[ROW][C]102[/C][C]16[/C][C]15.1249[/C][C]0.875061[/C][/ROW]
[ROW][C]103[/C][C]11[/C][C]14.4776[/C][C]-3.47759[/C][/ROW]
[ROW][C]104[/C][C]15[/C][C]13.0112[/C][C]1.98879[/C][/ROW]
[ROW][C]105[/C][C]9[/C][C]11.2726[/C][C]-2.27263[/C][/ROW]
[ROW][C]106[/C][C]16[/C][C]14.9442[/C][C]1.05581[/C][/ROW]
[ROW][C]107[/C][C]15[/C][C]12.8226[/C][C]2.17745[/C][/ROW]
[ROW][C]108[/C][C]10[/C][C]12.7993[/C][C]-2.79933[/C][/ROW]
[ROW][C]109[/C][C]10[/C][C]8.7501[/C][C]1.2499[/C][/ROW]
[ROW][C]110[/C][C]15[/C][C]13.908[/C][C]1.09196[/C][/ROW]
[ROW][C]111[/C][C]11[/C][C]13.271[/C][C]-2.27097[/C][/ROW]
[ROW][C]112[/C][C]13[/C][C]15.2272[/C][C]-2.22718[/C][/ROW]
[ROW][C]113[/C][C]14[/C][C]12.0758[/C][C]1.92416[/C][/ROW]
[ROW][C]114[/C][C]18[/C][C]13.9896[/C][C]4.01043[/C][/ROW]
[ROW][C]115[/C][C]16[/C][C]15.6731[/C][C]0.326927[/C][/ROW]
[ROW][C]116[/C][C]14[/C][C]12.9462[/C][C]1.05379[/C][/ROW]
[ROW][C]117[/C][C]14[/C][C]13.6304[/C][C]0.369554[/C][/ROW]
[ROW][C]118[/C][C]14[/C][C]15.0729[/C][C]-1.07289[/C][/ROW]
[ROW][C]119[/C][C]14[/C][C]13.6483[/C][C]0.35172[/C][/ROW]
[ROW][C]120[/C][C]12[/C][C]12.4532[/C][C]-0.453153[/C][/ROW]
[ROW][C]121[/C][C]14[/C][C]13.6958[/C][C]0.304201[/C][/ROW]
[ROW][C]122[/C][C]15[/C][C]14.7892[/C][C]0.210806[/C][/ROW]
[ROW][C]123[/C][C]15[/C][C]15.9618[/C][C]-0.961806[/C][/ROW]
[ROW][C]124[/C][C]15[/C][C]14.6427[/C][C]0.357335[/C][/ROW]
[ROW][C]125[/C][C]13[/C][C]14.8995[/C][C]-1.89955[/C][/ROW]
[ROW][C]126[/C][C]17[/C][C]16.1766[/C][C]0.823437[/C][/ROW]
[ROW][C]127[/C][C]17[/C][C]15.2747[/C][C]1.7253[/C][/ROW]
[ROW][C]128[/C][C]19[/C][C]14.8313[/C][C]4.16868[/C][/ROW]
[ROW][C]129[/C][C]15[/C][C]13.5176[/C][C]1.48243[/C][/ROW]
[ROW][C]130[/C][C]13[/C][C]14.7109[/C][C]-1.71089[/C][/ROW]
[ROW][C]131[/C][C]9[/C][C]10.5016[/C][C]-1.50162[/C][/ROW]
[ROW][C]132[/C][C]15[/C][C]15.2301[/C][C]-0.230052[/C][/ROW]
[ROW][C]133[/C][C]15[/C][C]12.5972[/C][C]2.40284[/C][/ROW]
[ROW][C]134[/C][C]15[/C][C]14.1732[/C][C]0.826812[/C][/ROW]
[ROW][C]135[/C][C]16[/C][C]13.7926[/C][C]2.20735[/C][/ROW]
[ROW][C]136[/C][C]11[/C][C]9.43181[/C][C]1.56819[/C][/ROW]
[ROW][C]137[/C][C]14[/C][C]13.2738[/C][C]0.726158[/C][/ROW]
[ROW][C]138[/C][C]11[/C][C]11.8447[/C][C]-0.844702[/C][/ROW]
[ROW][C]139[/C][C]15[/C][C]14.0843[/C][C]0.915747[/C][/ROW]
[ROW][C]140[/C][C]13[/C][C]13.7091[/C][C]-0.709103[/C][/ROW]
[ROW][C]141[/C][C]15[/C][C]14.6877[/C][C]0.312334[/C][/ROW]
[ROW][C]142[/C][C]16[/C][C]13.7691[/C][C]2.23094[/C][/ROW]
[ROW][C]143[/C][C]14[/C][C]14.8023[/C][C]-0.802346[/C][/ROW]
[ROW][C]144[/C][C]15[/C][C]14.4747[/C][C]0.525283[/C][/ROW]
[ROW][C]145[/C][C]16[/C][C]14.443[/C][C]1.55698[/C][/ROW]
[ROW][C]146[/C][C]16[/C][C]14.6819[/C][C]1.31808[/C][/ROW]
[ROW][C]147[/C][C]11[/C][C]13.35[/C][C]-2.34998[/C][/ROW]
[ROW][C]148[/C][C]12[/C][C]14.8052[/C][C]-2.80522[/C][/ROW]
[ROW][C]149[/C][C]9[/C][C]11.3905[/C][C]-2.39054[/C][/ROW]
[ROW][C]150[/C][C]16[/C][C]13.971[/C][C]2.02898[/C][/ROW]
[ROW][C]151[/C][C]13[/C][C]12.5182[/C][C]0.481849[/C][/ROW]
[ROW][C]152[/C][C]16[/C][C]15.4662[/C][C]0.533772[/C][/ROW]
[ROW][C]153[/C][C]12[/C][C]14.3568[/C][C]-2.35681[/C][/ROW]
[ROW][C]154[/C][C]9[/C][C]11.4116[/C][C]-2.4116[/C][/ROW]
[ROW][C]155[/C][C]13[/C][C]11.5399[/C][C]1.46006[/C][/ROW]
[ROW][C]156[/C][C]13[/C][C]12.9147[/C][C]0.0852812[/C][/ROW]
[ROW][C]157[/C][C]14[/C][C]13.1846[/C][C]0.815449[/C][/ROW]
[ROW][C]158[/C][C]19[/C][C]14.8313[/C][C]4.16868[/C][/ROW]
[ROW][C]159[/C][C]13[/C][C]15.7728[/C][C]-2.77279[/C][/ROW]
[ROW][C]160[/C][C]12[/C][C]11.9122[/C][C]0.0877816[/C][/ROW]
[ROW][C]161[/C][C]13[/C][C]12.4292[/C][C]0.570785[/C][/ROW]
[ROW][C]162[/C][C]10[/C][C]9.33713[/C][C]0.662873[/C][/ROW]
[ROW][C]163[/C][C]14[/C][C]13.3521[/C][C]0.647856[/C][/ROW]
[ROW][C]164[/C][C]16[/C][C]11.6867[/C][C]4.31332[/C][/ROW]
[ROW][C]165[/C][C]10[/C][C]11.9754[/C][C]-1.97541[/C][/ROW]
[ROW][C]166[/C][C]11[/C][C]9.08564[/C][C]1.91436[/C][/ROW]
[ROW][C]167[/C][C]14[/C][C]14.2675[/C][C]-0.267516[/C][/ROW]
[ROW][C]168[/C][C]12[/C][C]13.0717[/C][C]-1.07168[/C][/ROW]
[ROW][C]169[/C][C]9[/C][C]12.7358[/C][C]-3.73578[/C][/ROW]
[ROW][C]170[/C][C]9[/C][C]12.1144[/C][C]-3.11438[/C][/ROW]
[ROW][C]171[/C][C]11[/C][C]10.473[/C][C]0.526995[/C][/ROW]
[ROW][C]172[/C][C]16[/C][C]14.3568[/C][C]1.64319[/C][/ROW]
[ROW][C]173[/C][C]9[/C][C]14.0367[/C][C]-5.03673[/C][/ROW]
[ROW][C]174[/C][C]13[/C][C]11.3542[/C][C]1.64584[/C][/ROW]
[ROW][C]175[/C][C]16[/C][C]13.5176[/C][C]2.48243[/C][/ROW]
[ROW][C]176[/C][C]13[/C][C]15.5159[/C][C]-2.51591[/C][/ROW]
[ROW][C]177[/C][C]9[/C][C]12.2902[/C][C]-3.29024[/C][/ROW]
[ROW][C]178[/C][C]12[/C][C]11.5585[/C][C]0.441512[/C][/ROW]
[ROW][C]179[/C][C]16[/C][C]14.7634[/C][C]1.23655[/C][/ROW]
[ROW][C]180[/C][C]11[/C][C]13.1871[/C][C]-2.18707[/C][/ROW]
[ROW][C]181[/C][C]14[/C][C]14.31[/C][C]-0.309998[/C][/ROW]
[ROW][C]182[/C][C]13[/C][C]14.7949[/C][C]-1.79494[/C][/ROW]
[ROW][C]183[/C][C]15[/C][C]15.0335[/C][C]-0.033485[/C][/ROW]
[ROW][C]184[/C][C]14[/C][C]15.1854[/C][C]-1.18541[/C][/ROW]
[ROW][C]185[/C][C]16[/C][C]14.2122[/C][C]1.78776[/C][/ROW]
[ROW][C]186[/C][C]13[/C][C]11.8075[/C][C]1.19254[/C][/ROW]
[ROW][C]187[/C][C]14[/C][C]13.764[/C][C]0.235973[/C][/ROW]
[ROW][C]188[/C][C]15[/C][C]14.249[/C][C]0.751029[/C][/ROW]
[ROW][C]189[/C][C]13[/C][C]12.6[/C][C]0.399962[/C][/ROW]
[ROW][C]190[/C][C]11[/C][C]10.1214[/C][C]0.878563[/C][/ROW]
[ROW][C]191[/C][C]11[/C][C]12.9466[/C][C]-1.94657[/C][/ROW]
[ROW][C]192[/C][C]14[/C][C]15.1829[/C][C]-1.18289[/C][/ROW]
[ROW][C]193[/C][C]15[/C][C]12.6915[/C][C]2.30851[/C][/ROW]
[ROW][C]194[/C][C]11[/C][C]12.6103[/C][C]-1.61032[/C][/ROW]
[ROW][C]195[/C][C]15[/C][C]13.2553[/C][C]1.7447[/C][/ROW]
[ROW][C]196[/C][C]12[/C][C]14.1943[/C][C]-2.19425[/C][/ROW]
[ROW][C]197[/C][C]14[/C][C]11.8782[/C][C]2.12179[/C][/ROW]
[ROW][C]198[/C][C]14[/C][C]13.5775[/C][C]0.422466[/C][/ROW]
[ROW][C]199[/C][C]8[/C][C]11.2465[/C][C]-3.24653[/C][/ROW]
[ROW][C]200[/C][C]13[/C][C]14.097[/C][C]-1.09705[/C][/ROW]
[ROW][C]201[/C][C]9[/C][C]12.3977[/C][C]-3.39772[/C][/ROW]
[ROW][C]202[/C][C]15[/C][C]14.0553[/C][C]0.944722[/C][/ROW]
[ROW][C]203[/C][C]17[/C][C]14.2283[/C][C]2.77174[/C][/ROW]
[ROW][C]204[/C][C]13[/C][C]12.7154[/C][C]0.284571[/C][/ROW]
[ROW][C]205[/C][C]15[/C][C]14.6191[/C][C]0.380917[/C][/ROW]
[ROW][C]206[/C][C]15[/C][C]13.9109[/C][C]1.08909[/C][/ROW]
[ROW][C]207[/C][C]14[/C][C]14.6634[/C][C]-0.663373[/C][/ROW]
[ROW][C]208[/C][C]16[/C][C]12.7522[/C][C]3.24784[/C][/ROW]
[ROW][C]209[/C][C]13[/C][C]12.9773[/C][C]0.0226501[/C][/ROW]
[ROW][C]210[/C][C]16[/C][C]14.5244[/C][C]1.4756[/C][/ROW]
[ROW][C]211[/C][C]9[/C][C]11.8182[/C][C]-2.81825[/C][/ROW]
[ROW][C]212[/C][C]16[/C][C]14.5559[/C][C]1.44411[/C][/ROW]
[ROW][C]213[/C][C]11[/C][C]12.3291[/C][C]-1.32914[/C][/ROW]
[ROW][C]214[/C][C]10[/C][C]14.0288[/C][C]-4.02882[/C][/ROW]
[ROW][C]215[/C][C]11[/C][C]12.3506[/C][C]-1.35056[/C][/ROW]
[ROW][C]216[/C][C]15[/C][C]13.5833[/C][C]1.41672[/C][/ROW]
[ROW][C]217[/C][C]17[/C][C]15.1564[/C][C]1.84357[/C][/ROW]
[ROW][C]218[/C][C]14[/C][C]14.3854[/C][C]-0.385426[/C][/ROW]
[ROW][C]219[/C][C]8[/C][C]9.97455[/C][C]-1.97455[/C][/ROW]
[ROW][C]220[/C][C]15[/C][C]13.7219[/C][C]1.2781[/C][/ROW]
[ROW][C]221[/C][C]11[/C][C]14.105[/C][C]-3.10496[/C][/ROW]
[ROW][C]222[/C][C]16[/C][C]13.7959[/C][C]2.20412[/C][/ROW]
[ROW][C]223[/C][C]10[/C][C]12.3531[/C][C]-2.35308[/C][/ROW]
[ROW][C]224[/C][C]15[/C][C]15.0282[/C][C]-0.0282443[/C][/ROW]
[ROW][C]225[/C][C]9[/C][C]9.80983[/C][C]-0.809834[/C][/ROW]
[ROW][C]226[/C][C]16[/C][C]14.3305[/C][C]1.6695[/C][/ROW]
[ROW][C]227[/C][C]19[/C][C]14.0792[/C][C]4.92078[/C][/ROW]
[ROW][C]228[/C][C]12[/C][C]13.9138[/C][C]-1.91379[/C][/ROW]
[ROW][C]229[/C][C]8[/C][C]9.48401[/C][C]-1.48401[/C][/ROW]
[ROW][C]230[/C][C]11[/C][C]13.4704[/C][C]-2.47041[/C][/ROW]
[ROW][C]231[/C][C]14[/C][C]13.9871[/C][C]0.0129496[/C][/ROW]
[ROW][C]232[/C][C]9[/C][C]12.0359[/C][C]-3.03588[/C][/ROW]
[ROW][C]233[/C][C]15[/C][C]15.1597[/C][C]-0.159662[/C][/ROW]
[ROW][C]234[/C][C]13[/C][C]12.6993[/C][C]0.300749[/C][/ROW]
[ROW][C]235[/C][C]16[/C][C]15.1436[/C][C]0.856364[/C][/ROW]
[ROW][C]236[/C][C]11[/C][C]12.9773[/C][C]-1.97735[/C][/ROW]
[ROW][C]237[/C][C]12[/C][C]11.1781[/C][C]0.821902[/C][/ROW]
[ROW][C]238[/C][C]13[/C][C]13.1142[/C][C]-0.11416[/C][/ROW]
[ROW][C]239[/C][C]10[/C][C]14.7345[/C][C]-4.73447[/C][/ROW]
[ROW][C]240[/C][C]11[/C][C]13.6645[/C][C]-2.66446[/C][/ROW]
[ROW][C]241[/C][C]12[/C][C]15.0279[/C][C]-3.02789[/C][/ROW]
[ROW][C]242[/C][C]8[/C][C]10.8035[/C][C]-2.80351[/C][/ROW]
[ROW][C]243[/C][C]12[/C][C]11.8236[/C][C]0.176361[/C][/ROW]
[ROW][C]244[/C][C]12[/C][C]12.3585[/C][C]-0.358469[/C][/ROW]
[ROW][C]245[/C][C]15[/C][C]13.7219[/C][C]1.2781[/C][/ROW]
[ROW][C]246[/C][C]11[/C][C]10.8032[/C][C]0.196847[/C][/ROW]
[ROW][C]247[/C][C]13[/C][C]12.8987[/C][C]0.101307[/C][/ROW]
[ROW][C]248[/C][C]14[/C][C]8.84982[/C][C]5.15018[/C][/ROW]
[ROW][C]249[/C][C]10[/C][C]10.4966[/C][C]-0.496587[/C][/ROW]
[ROW][C]250[/C][C]12[/C][C]11.9365[/C][C]0.0634883[/C][/ROW]
[ROW][C]251[/C][C]15[/C][C]12.9773[/C][C]2.02265[/C][/ROW]
[ROW][C]252[/C][C]13[/C][C]11.9176[/C][C]1.08239[/C][/ROW]
[ROW][C]253[/C][C]13[/C][C]14.2493[/C][C]-1.24933[/C][/ROW]
[ROW][C]254[/C][C]13[/C][C]13.9791[/C][C]-0.979139[/C][/ROW]
[ROW][C]255[/C][C]12[/C][C]11.9126[/C][C]0.087426[/C][/ROW]
[ROW][C]256[/C][C]12[/C][C]12.8751[/C][C]-0.875111[/C][/ROW]
[ROW][C]257[/C][C]9[/C][C]11.0285[/C][C]-2.02854[/C][/ROW]
[ROW][C]258[/C][C]9[/C][C]11.6242[/C][C]-2.6242[/C][/ROW]
[ROW][C]259[/C][C]15[/C][C]12.7597[/C][C]2.24028[/C][/ROW]
[ROW][C]260[/C][C]10[/C][C]14.7422[/C][C]-4.74218[/C][/ROW]
[ROW][C]261[/C][C]14[/C][C]14.0528[/C][C]-0.0527593[/C][/ROW]
[ROW][C]262[/C][C]15[/C][C]13.6855[/C][C]1.31448[/C][/ROW]
[ROW][C]263[/C][C]7[/C][C]9.76735[/C][C]-2.76735[/C][/ROW]
[ROW][C]264[/C][C]14[/C][C]14.126[/C][C]-0.126024[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226741&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226741&T=4

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


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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
11413.56260.437426
21814.99393.00612
31113.8062-2.80615
41214.1235-2.12351
51610.82135.17866
61814.15213.84788
71410.47823.52175
81414.8077-0.807739
91514.92850.0714765
101513.95811.04192
111715.27721.72278
121915.4433.557
131013.1059-3.10589
141613.1772.823
151815.58132.41874
161413.15590.844068
171413.55680.443174
181715.57341.42665
191415.1543-1.15427
201613.62542.37459
211815.15952.84052
221113.5071-2.50714
231414.2785-0.278505
241213.2242-1.22416
251715.181.81999
26915.7939-6.79386
271614.82881.1712
281413.03770.962334
291513.7431.25704
301113.6304-2.63045
311615.56310.436925
321312.33780.662239
331714.85782.14222
341515.0175-0.0174587
351413.79550.20448
361615.15150.848453
37910.4309-1.43088
381514.10240.897558
391715.20651.79353
401315.0414-2.0414
411515.537-0.536974
421613.44142.55857
431615.90460.0954323
441212.899-0.899048
451514.43290.567054
461113.3079-2.30785
471515.094-0.0939532
481514.68980.310171
491713.2713.72903
501314.5744-1.57444
511615.11210.887858
521413.25280.747222
531111.417-0.416996
541213.3657-1.36565
551213.7145-1.7145
561513.27621.72382
571614.02631.9737
581515.3719-0.3719
591215.0203-3.02033
601213.1766-1.17664
61810.4258-2.42584
621314.4747-1.47472
631114.5455-3.54546
641412.8991.10095
651513.55471.44534
661015.0385-5.03852
671112.5578-1.55776
681214.6112-2.61117
691513.30531.69466
701513.53071.46927
711413.16890.83112
721612.56853.43146
731514.42220.57784
741515.2722-0.272179
751315.0175-2.01746
761212.0172-0.0171799
771713.9323.06802
781312.39770.602278
791513.75091.24913
801315.0653-2.06533
811514.89950.100451
821515.4662-0.466228
831614.2651.735
841514.24140.758585
851414.097-0.0970491
861513.81911.1809
871414.2861-0.286061
881312.79930.200673
89710.4176-3.41757
901713.54123.45884
911312.91470.0852812
921514.0970.902951
931413.34420.655768
941314.0105-1.01045
951614.92311.07687
961212.7754-0.77539
971414.876-0.875967
981714.94672.05329
991514.97570.0243125
1001715.20651.79353
1011212.8697-0.869718
1021615.12490.875061
1031114.4776-3.47759
1041513.01121.98879
105911.2726-2.27263
1061614.94421.05581
1071512.82262.17745
1081012.7993-2.79933
109108.75011.2499
1101513.9081.09196
1111113.271-2.27097
1121315.2272-2.22718
1131412.07581.92416
1141813.98964.01043
1151615.67310.326927
1161412.94621.05379
1171413.63040.369554
1181415.0729-1.07289
1191413.64830.35172
1201212.4532-0.453153
1211413.69580.304201
1221514.78920.210806
1231515.9618-0.961806
1241514.64270.357335
1251314.8995-1.89955
1261716.17660.823437
1271715.27471.7253
1281914.83134.16868
1291513.51761.48243
1301314.7109-1.71089
131910.5016-1.50162
1321515.2301-0.230052
1331512.59722.40284
1341514.17320.826812
1351613.79262.20735
136119.431811.56819
1371413.27380.726158
1381111.8447-0.844702
1391514.08430.915747
1401313.7091-0.709103
1411514.68770.312334
1421613.76912.23094
1431414.8023-0.802346
1441514.47470.525283
1451614.4431.55698
1461614.68191.31808
1471113.35-2.34998
1481214.8052-2.80522
149911.3905-2.39054
1501613.9712.02898
1511312.51820.481849
1521615.46620.533772
1531214.3568-2.35681
154911.4116-2.4116
1551311.53991.46006
1561312.91470.0852812
1571413.18460.815449
1581914.83134.16868
1591315.7728-2.77279
1601211.91220.0877816
1611312.42920.570785
162109.337130.662873
1631413.35210.647856
1641611.68674.31332
1651011.9754-1.97541
166119.085641.91436
1671414.2675-0.267516
1681213.0717-1.07168
169912.7358-3.73578
170912.1144-3.11438
1711110.4730.526995
1721614.35681.64319
173914.0367-5.03673
1741311.35421.64584
1751613.51762.48243
1761315.5159-2.51591
177912.2902-3.29024
1781211.55850.441512
1791614.76341.23655
1801113.1871-2.18707
1811414.31-0.309998
1821314.7949-1.79494
1831515.0335-0.033485
1841415.1854-1.18541
1851614.21221.78776
1861311.80751.19254
1871413.7640.235973
1881514.2490.751029
1891312.60.399962
1901110.12140.878563
1911112.9466-1.94657
1921415.1829-1.18289
1931512.69152.30851
1941112.6103-1.61032
1951513.25531.7447
1961214.1943-2.19425
1971411.87822.12179
1981413.57750.422466
199811.2465-3.24653
2001314.097-1.09705
201912.3977-3.39772
2021514.05530.944722
2031714.22832.77174
2041312.71540.284571
2051514.61910.380917
2061513.91091.08909
2071414.6634-0.663373
2081612.75223.24784
2091312.97730.0226501
2101614.52441.4756
211911.8182-2.81825
2121614.55591.44411
2131112.3291-1.32914
2141014.0288-4.02882
2151112.3506-1.35056
2161513.58331.41672
2171715.15641.84357
2181414.3854-0.385426
21989.97455-1.97455
2201513.72191.2781
2211114.105-3.10496
2221613.79592.20412
2231012.3531-2.35308
2241515.0282-0.0282443
22599.80983-0.809834
2261614.33051.6695
2271914.07924.92078
2281213.9138-1.91379
22989.48401-1.48401
2301113.4704-2.47041
2311413.98710.0129496
232912.0359-3.03588
2331515.1597-0.159662
2341312.69930.300749
2351615.14360.856364
2361112.9773-1.97735
2371211.17810.821902
2381313.1142-0.11416
2391014.7345-4.73447
2401113.6645-2.66446
2411215.0279-3.02789
242810.8035-2.80351
2431211.82360.176361
2441212.3585-0.358469
2451513.72191.2781
2461110.80320.196847
2471312.89870.101307
248148.849825.15018
2491010.4966-0.496587
2501211.93650.0634883
2511512.97732.02265
2521311.91761.08239
2531314.2493-1.24933
2541313.9791-0.979139
2551211.91260.087426
2561212.8751-0.875111
257911.0285-2.02854
258911.6242-2.6242
2591512.75972.24028
2601014.7422-4.74218
2611414.0528-0.0527593
2621513.68551.31448
26379.76735-2.76735
2641414.126-0.126024






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.8416230.3167530.158377
80.7978310.4043380.202169
90.6887830.6224330.311217
100.5739660.8520680.426034
110.5777920.8444160.422208
120.9229470.1541060.0770528
130.9779370.04412640.0220632
140.9735030.05299430.0264972
150.9726120.05477680.0273884
160.9586470.08270610.041353
170.9443680.1112630.0556316
180.9273190.1453620.072681
190.907160.1856790.0928395
200.8950870.2098260.104913
210.9005460.1989090.0994544
220.9431980.1136050.0568023
230.9225620.1548760.0774378
240.9181070.1637860.0818932
250.8977690.2044620.102231
260.9952280.009544570.00477228
270.9931840.01363270.00681637
280.9902570.01948520.0097426
290.9862830.02743380.0137169
300.9923050.01539060.00769531
310.9889810.02203830.0110191
320.9850180.02996410.014982
330.9831660.03366750.0168337
340.9773450.04530950.0226547
350.9706250.05875070.0293753
360.9612340.07753150.0387657
370.9720730.05585460.0279273
380.9635920.07281590.0364079
390.9582050.08359070.0417954
400.9591410.08171730.0408587
410.948580.102840.0514201
420.9459470.1081060.0540528
430.932740.1345210.0672603
440.9218780.1562440.078122
450.9036690.1926610.0963307
460.9174830.1650330.0825167
470.898420.2031590.10158
480.876710.246580.12329
490.9013850.1972290.0986147
500.8975540.2048920.102446
510.8789830.2420340.121017
520.8561130.2877730.143887
530.8380430.3239140.161957
540.8294080.3411840.170592
550.8153760.3692480.184624
560.7957360.4085280.204264
570.7814410.4371180.218559
580.749110.501780.25089
590.7920590.4158830.207941
600.7852960.4294070.214704
610.8083510.3832980.191649
620.8041320.3917360.195868
630.871240.2575210.12876
640.856460.287080.14354
650.8441430.3117130.155857
660.940530.118940.0594701
670.9393840.1212320.0606159
680.947040.1059210.0529604
690.942740.114520.0572602
700.9357030.1285940.0642968
710.9239140.1521710.0760857
720.9423540.1152930.0576464
730.9308450.138310.0691549
740.9169940.1660110.0830057
750.9163650.167270.0836348
760.9014620.1970770.0985385
770.9183120.1633760.0816881
780.9035240.1929520.0964758
790.8913150.2173690.108685
800.889330.2213390.11067
810.8702520.2594970.129748
820.8496890.3006220.150311
830.8419430.3161150.158057
840.8207630.3584740.179237
850.7954090.4091830.204591
860.7748140.4503720.225186
870.7464250.507150.253575
880.7158170.5683660.284183
890.7940580.4118830.205942
900.8326540.3346930.167346
910.8084280.3831440.191572
920.7866380.4267240.213362
930.7605740.4788520.239426
940.7418290.5163430.258171
950.719470.5610610.28053
960.6942580.6114840.305742
970.6679370.6641260.332063
980.6676710.6646580.332329
990.6339860.7320280.366014
1000.626390.7472190.37361
1010.6000430.7999150.399957
1020.5723770.8552450.427623
1030.6418840.7162320.358116
1040.6365720.7268570.363428
1050.6547690.6904620.345231
1060.6303450.739310.369655
1070.6333060.7333880.366694
1080.662240.675520.33776
1090.6388450.722310.361155
1100.6133370.7733270.386663
1110.6255180.7489640.374482
1120.6343950.731210.365605
1130.6301440.7397110.369856
1140.7143810.5712380.285619
1150.6845060.6309880.315494
1160.6605250.6789490.339475
1170.6283840.7432320.371616
1180.6056160.7887680.394384
1190.5720150.855970.427985
1200.5399150.9201710.460085
1210.5054310.9891390.494569
1220.4707010.9414030.529299
1230.4424920.8849830.557508
1240.408850.8176990.59115
1250.4048060.8096120.595194
1260.3763550.7527110.623645
1270.3700390.7400790.629961
1280.4830390.9660780.516961
1290.4640830.9281660.535917
1300.4526370.9052740.547363
1310.4474070.8948140.552593
1320.4131990.8263980.586801
1330.4233960.8467930.576604
1340.3949690.7899380.605031
1350.4015390.8030790.598461
1360.3846190.7692380.615381
1370.3562240.7124480.643776
1380.3324680.6649350.667532
1390.3070550.6141110.692945
1400.2826430.5652870.717357
1410.2551380.5102770.744862
1420.2623750.5247490.737625
1430.238460.4769210.76154
1440.2148680.4297370.785132
1450.2033070.4066140.796693
1460.1934090.3868190.806591
1470.2033590.4067180.796641
1480.2237110.4474220.776289
1490.2395560.4791130.760444
1500.2391470.4782940.760853
1510.2151160.4302330.784884
1520.1931580.3863150.806842
1530.199010.398020.80099
1540.2114370.4228740.788563
1550.198880.3977610.80112
1560.1749690.3499380.825031
1570.156740.313480.84326
1580.2484470.4968940.751553
1590.2668450.533690.733155
1600.2406120.4812250.759388
1610.2163060.4326110.783694
1620.1938470.3876940.806153
1630.1746440.3492870.825356
1640.2958490.5916970.704151
1650.2907870.5815730.709213
1660.2868650.573730.713135
1670.2578980.5157960.742102
1680.2379460.4758920.762054
1690.3021320.6042650.697868
1700.3369510.6739030.663049
1710.3066510.6133030.693349
1720.3011560.6023130.698844
1730.4764830.9529670.523517
1740.4644650.9289290.535535
1750.4903750.980750.509625
1760.5053440.9893110.494656
1770.5615760.8768480.438424
1780.5287940.9424130.471206
1790.5067970.9864070.493203
1800.5084380.9831230.491562
1810.4709650.941930.529035
1820.4635230.9270460.536477
1830.4256360.8512720.574364
1840.3981970.7963950.601803
1850.3978630.7957270.602137
1860.3843250.768650.615675
1870.3501160.7002330.649884
1880.3259680.6519360.674032
1890.2923450.5846910.707655
1900.271520.543040.72848
1910.2848080.5696170.715192
1920.2617380.5234760.738262
1930.2806640.5613290.719336
1940.2666770.5333550.733323
1950.2659760.5319530.734024
1960.2703150.540630.729685
1970.3092810.6185620.690719
1980.2922260.5844510.707774
1990.3327510.6655020.667249
2000.301470.602940.69853
2010.3509910.7019820.649009
2020.3209910.6419830.679009
2030.3710620.7421240.628938
2040.3317790.6635580.668221
2050.2958040.5916070.704196
2060.2765810.5531620.723419
2070.2433420.4866850.756658
2080.2816420.5632830.718358
2090.2481910.4963810.751809
2100.2554410.5108820.744559
2110.275820.551640.72418
2120.2874910.5749810.712509
2130.2568490.5136970.743151
2140.323860.6477210.67614
2150.2941590.5883180.705841
2160.2763390.5526780.723661
2170.3113930.6227860.688607
2180.2785890.5571790.721411
2190.2651160.5302320.734884
2200.289960.579920.71004
2210.3030670.6061340.696933
2220.3030250.606050.696975
2230.2867790.5735580.713221
2240.2487460.4974910.751254
2250.2471820.4943640.752818
2260.2834330.5668660.716567
2270.5091960.9816080.490804
2280.4842160.9684320.515784
2290.4593510.9187030.540649
2300.4475310.8950610.552469
2310.4044280.8088550.595572
2320.4469560.8939120.553044
2330.3933410.7866820.606659
2340.3514530.7029060.648547
2350.3615240.7230480.638476
2360.3291870.6583740.670813
2370.2985170.5970340.701483
2380.2481610.4963210.751839
2390.4006910.8013830.599309
2400.3862140.7724280.613786
2410.3583620.7167230.641638
2420.4946610.9893230.505339
2430.4257850.851570.574215
2440.3589160.7178320.641084
2450.4172880.8345760.582712
2460.3545190.7090380.645481
2470.286880.573760.71312
2480.5104850.979030.489515
2490.4237780.8475560.576222
2500.3378060.6756110.662194
2510.4235910.8471810.576409
2520.6456640.7086730.354336
2530.5518990.8962020.448101
2540.4737190.9474390.526281
2550.4292450.858490.570755
2560.3083320.6166640.691668
2570.18790.3758010.8121

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
7 & 0.841623 & 0.316753 & 0.158377 \tabularnewline
8 & 0.797831 & 0.404338 & 0.202169 \tabularnewline
9 & 0.688783 & 0.622433 & 0.311217 \tabularnewline
10 & 0.573966 & 0.852068 & 0.426034 \tabularnewline
11 & 0.577792 & 0.844416 & 0.422208 \tabularnewline
12 & 0.922947 & 0.154106 & 0.0770528 \tabularnewline
13 & 0.977937 & 0.0441264 & 0.0220632 \tabularnewline
14 & 0.973503 & 0.0529943 & 0.0264972 \tabularnewline
15 & 0.972612 & 0.0547768 & 0.0273884 \tabularnewline
16 & 0.958647 & 0.0827061 & 0.041353 \tabularnewline
17 & 0.944368 & 0.111263 & 0.0556316 \tabularnewline
18 & 0.927319 & 0.145362 & 0.072681 \tabularnewline
19 & 0.90716 & 0.185679 & 0.0928395 \tabularnewline
20 & 0.895087 & 0.209826 & 0.104913 \tabularnewline
21 & 0.900546 & 0.198909 & 0.0994544 \tabularnewline
22 & 0.943198 & 0.113605 & 0.0568023 \tabularnewline
23 & 0.922562 & 0.154876 & 0.0774378 \tabularnewline
24 & 0.918107 & 0.163786 & 0.0818932 \tabularnewline
25 & 0.897769 & 0.204462 & 0.102231 \tabularnewline
26 & 0.995228 & 0.00954457 & 0.00477228 \tabularnewline
27 & 0.993184 & 0.0136327 & 0.00681637 \tabularnewline
28 & 0.990257 & 0.0194852 & 0.0097426 \tabularnewline
29 & 0.986283 & 0.0274338 & 0.0137169 \tabularnewline
30 & 0.992305 & 0.0153906 & 0.00769531 \tabularnewline
31 & 0.988981 & 0.0220383 & 0.0110191 \tabularnewline
32 & 0.985018 & 0.0299641 & 0.014982 \tabularnewline
33 & 0.983166 & 0.0336675 & 0.0168337 \tabularnewline
34 & 0.977345 & 0.0453095 & 0.0226547 \tabularnewline
35 & 0.970625 & 0.0587507 & 0.0293753 \tabularnewline
36 & 0.961234 & 0.0775315 & 0.0387657 \tabularnewline
37 & 0.972073 & 0.0558546 & 0.0279273 \tabularnewline
38 & 0.963592 & 0.0728159 & 0.0364079 \tabularnewline
39 & 0.958205 & 0.0835907 & 0.0417954 \tabularnewline
40 & 0.959141 & 0.0817173 & 0.0408587 \tabularnewline
41 & 0.94858 & 0.10284 & 0.0514201 \tabularnewline
42 & 0.945947 & 0.108106 & 0.0540528 \tabularnewline
43 & 0.93274 & 0.134521 & 0.0672603 \tabularnewline
44 & 0.921878 & 0.156244 & 0.078122 \tabularnewline
45 & 0.903669 & 0.192661 & 0.0963307 \tabularnewline
46 & 0.917483 & 0.165033 & 0.0825167 \tabularnewline
47 & 0.89842 & 0.203159 & 0.10158 \tabularnewline
48 & 0.87671 & 0.24658 & 0.12329 \tabularnewline
49 & 0.901385 & 0.197229 & 0.0986147 \tabularnewline
50 & 0.897554 & 0.204892 & 0.102446 \tabularnewline
51 & 0.878983 & 0.242034 & 0.121017 \tabularnewline
52 & 0.856113 & 0.287773 & 0.143887 \tabularnewline
53 & 0.838043 & 0.323914 & 0.161957 \tabularnewline
54 & 0.829408 & 0.341184 & 0.170592 \tabularnewline
55 & 0.815376 & 0.369248 & 0.184624 \tabularnewline
56 & 0.795736 & 0.408528 & 0.204264 \tabularnewline
57 & 0.781441 & 0.437118 & 0.218559 \tabularnewline
58 & 0.74911 & 0.50178 & 0.25089 \tabularnewline
59 & 0.792059 & 0.415883 & 0.207941 \tabularnewline
60 & 0.785296 & 0.429407 & 0.214704 \tabularnewline
61 & 0.808351 & 0.383298 & 0.191649 \tabularnewline
62 & 0.804132 & 0.391736 & 0.195868 \tabularnewline
63 & 0.87124 & 0.257521 & 0.12876 \tabularnewline
64 & 0.85646 & 0.28708 & 0.14354 \tabularnewline
65 & 0.844143 & 0.311713 & 0.155857 \tabularnewline
66 & 0.94053 & 0.11894 & 0.0594701 \tabularnewline
67 & 0.939384 & 0.121232 & 0.0606159 \tabularnewline
68 & 0.94704 & 0.105921 & 0.0529604 \tabularnewline
69 & 0.94274 & 0.11452 & 0.0572602 \tabularnewline
70 & 0.935703 & 0.128594 & 0.0642968 \tabularnewline
71 & 0.923914 & 0.152171 & 0.0760857 \tabularnewline
72 & 0.942354 & 0.115293 & 0.0576464 \tabularnewline
73 & 0.930845 & 0.13831 & 0.0691549 \tabularnewline
74 & 0.916994 & 0.166011 & 0.0830057 \tabularnewline
75 & 0.916365 & 0.16727 & 0.0836348 \tabularnewline
76 & 0.901462 & 0.197077 & 0.0985385 \tabularnewline
77 & 0.918312 & 0.163376 & 0.0816881 \tabularnewline
78 & 0.903524 & 0.192952 & 0.0964758 \tabularnewline
79 & 0.891315 & 0.217369 & 0.108685 \tabularnewline
80 & 0.88933 & 0.221339 & 0.11067 \tabularnewline
81 & 0.870252 & 0.259497 & 0.129748 \tabularnewline
82 & 0.849689 & 0.300622 & 0.150311 \tabularnewline
83 & 0.841943 & 0.316115 & 0.158057 \tabularnewline
84 & 0.820763 & 0.358474 & 0.179237 \tabularnewline
85 & 0.795409 & 0.409183 & 0.204591 \tabularnewline
86 & 0.774814 & 0.450372 & 0.225186 \tabularnewline
87 & 0.746425 & 0.50715 & 0.253575 \tabularnewline
88 & 0.715817 & 0.568366 & 0.284183 \tabularnewline
89 & 0.794058 & 0.411883 & 0.205942 \tabularnewline
90 & 0.832654 & 0.334693 & 0.167346 \tabularnewline
91 & 0.808428 & 0.383144 & 0.191572 \tabularnewline
92 & 0.786638 & 0.426724 & 0.213362 \tabularnewline
93 & 0.760574 & 0.478852 & 0.239426 \tabularnewline
94 & 0.741829 & 0.516343 & 0.258171 \tabularnewline
95 & 0.71947 & 0.561061 & 0.28053 \tabularnewline
96 & 0.694258 & 0.611484 & 0.305742 \tabularnewline
97 & 0.667937 & 0.664126 & 0.332063 \tabularnewline
98 & 0.667671 & 0.664658 & 0.332329 \tabularnewline
99 & 0.633986 & 0.732028 & 0.366014 \tabularnewline
100 & 0.62639 & 0.747219 & 0.37361 \tabularnewline
101 & 0.600043 & 0.799915 & 0.399957 \tabularnewline
102 & 0.572377 & 0.855245 & 0.427623 \tabularnewline
103 & 0.641884 & 0.716232 & 0.358116 \tabularnewline
104 & 0.636572 & 0.726857 & 0.363428 \tabularnewline
105 & 0.654769 & 0.690462 & 0.345231 \tabularnewline
106 & 0.630345 & 0.73931 & 0.369655 \tabularnewline
107 & 0.633306 & 0.733388 & 0.366694 \tabularnewline
108 & 0.66224 & 0.67552 & 0.33776 \tabularnewline
109 & 0.638845 & 0.72231 & 0.361155 \tabularnewline
110 & 0.613337 & 0.773327 & 0.386663 \tabularnewline
111 & 0.625518 & 0.748964 & 0.374482 \tabularnewline
112 & 0.634395 & 0.73121 & 0.365605 \tabularnewline
113 & 0.630144 & 0.739711 & 0.369856 \tabularnewline
114 & 0.714381 & 0.571238 & 0.285619 \tabularnewline
115 & 0.684506 & 0.630988 & 0.315494 \tabularnewline
116 & 0.660525 & 0.678949 & 0.339475 \tabularnewline
117 & 0.628384 & 0.743232 & 0.371616 \tabularnewline
118 & 0.605616 & 0.788768 & 0.394384 \tabularnewline
119 & 0.572015 & 0.85597 & 0.427985 \tabularnewline
120 & 0.539915 & 0.920171 & 0.460085 \tabularnewline
121 & 0.505431 & 0.989139 & 0.494569 \tabularnewline
122 & 0.470701 & 0.941403 & 0.529299 \tabularnewline
123 & 0.442492 & 0.884983 & 0.557508 \tabularnewline
124 & 0.40885 & 0.817699 & 0.59115 \tabularnewline
125 & 0.404806 & 0.809612 & 0.595194 \tabularnewline
126 & 0.376355 & 0.752711 & 0.623645 \tabularnewline
127 & 0.370039 & 0.740079 & 0.629961 \tabularnewline
128 & 0.483039 & 0.966078 & 0.516961 \tabularnewline
129 & 0.464083 & 0.928166 & 0.535917 \tabularnewline
130 & 0.452637 & 0.905274 & 0.547363 \tabularnewline
131 & 0.447407 & 0.894814 & 0.552593 \tabularnewline
132 & 0.413199 & 0.826398 & 0.586801 \tabularnewline
133 & 0.423396 & 0.846793 & 0.576604 \tabularnewline
134 & 0.394969 & 0.789938 & 0.605031 \tabularnewline
135 & 0.401539 & 0.803079 & 0.598461 \tabularnewline
136 & 0.384619 & 0.769238 & 0.615381 \tabularnewline
137 & 0.356224 & 0.712448 & 0.643776 \tabularnewline
138 & 0.332468 & 0.664935 & 0.667532 \tabularnewline
139 & 0.307055 & 0.614111 & 0.692945 \tabularnewline
140 & 0.282643 & 0.565287 & 0.717357 \tabularnewline
141 & 0.255138 & 0.510277 & 0.744862 \tabularnewline
142 & 0.262375 & 0.524749 & 0.737625 \tabularnewline
143 & 0.23846 & 0.476921 & 0.76154 \tabularnewline
144 & 0.214868 & 0.429737 & 0.785132 \tabularnewline
145 & 0.203307 & 0.406614 & 0.796693 \tabularnewline
146 & 0.193409 & 0.386819 & 0.806591 \tabularnewline
147 & 0.203359 & 0.406718 & 0.796641 \tabularnewline
148 & 0.223711 & 0.447422 & 0.776289 \tabularnewline
149 & 0.239556 & 0.479113 & 0.760444 \tabularnewline
150 & 0.239147 & 0.478294 & 0.760853 \tabularnewline
151 & 0.215116 & 0.430233 & 0.784884 \tabularnewline
152 & 0.193158 & 0.386315 & 0.806842 \tabularnewline
153 & 0.19901 & 0.39802 & 0.80099 \tabularnewline
154 & 0.211437 & 0.422874 & 0.788563 \tabularnewline
155 & 0.19888 & 0.397761 & 0.80112 \tabularnewline
156 & 0.174969 & 0.349938 & 0.825031 \tabularnewline
157 & 0.15674 & 0.31348 & 0.84326 \tabularnewline
158 & 0.248447 & 0.496894 & 0.751553 \tabularnewline
159 & 0.266845 & 0.53369 & 0.733155 \tabularnewline
160 & 0.240612 & 0.481225 & 0.759388 \tabularnewline
161 & 0.216306 & 0.432611 & 0.783694 \tabularnewline
162 & 0.193847 & 0.387694 & 0.806153 \tabularnewline
163 & 0.174644 & 0.349287 & 0.825356 \tabularnewline
164 & 0.295849 & 0.591697 & 0.704151 \tabularnewline
165 & 0.290787 & 0.581573 & 0.709213 \tabularnewline
166 & 0.286865 & 0.57373 & 0.713135 \tabularnewline
167 & 0.257898 & 0.515796 & 0.742102 \tabularnewline
168 & 0.237946 & 0.475892 & 0.762054 \tabularnewline
169 & 0.302132 & 0.604265 & 0.697868 \tabularnewline
170 & 0.336951 & 0.673903 & 0.663049 \tabularnewline
171 & 0.306651 & 0.613303 & 0.693349 \tabularnewline
172 & 0.301156 & 0.602313 & 0.698844 \tabularnewline
173 & 0.476483 & 0.952967 & 0.523517 \tabularnewline
174 & 0.464465 & 0.928929 & 0.535535 \tabularnewline
175 & 0.490375 & 0.98075 & 0.509625 \tabularnewline
176 & 0.505344 & 0.989311 & 0.494656 \tabularnewline
177 & 0.561576 & 0.876848 & 0.438424 \tabularnewline
178 & 0.528794 & 0.942413 & 0.471206 \tabularnewline
179 & 0.506797 & 0.986407 & 0.493203 \tabularnewline
180 & 0.508438 & 0.983123 & 0.491562 \tabularnewline
181 & 0.470965 & 0.94193 & 0.529035 \tabularnewline
182 & 0.463523 & 0.927046 & 0.536477 \tabularnewline
183 & 0.425636 & 0.851272 & 0.574364 \tabularnewline
184 & 0.398197 & 0.796395 & 0.601803 \tabularnewline
185 & 0.397863 & 0.795727 & 0.602137 \tabularnewline
186 & 0.384325 & 0.76865 & 0.615675 \tabularnewline
187 & 0.350116 & 0.700233 & 0.649884 \tabularnewline
188 & 0.325968 & 0.651936 & 0.674032 \tabularnewline
189 & 0.292345 & 0.584691 & 0.707655 \tabularnewline
190 & 0.27152 & 0.54304 & 0.72848 \tabularnewline
191 & 0.284808 & 0.569617 & 0.715192 \tabularnewline
192 & 0.261738 & 0.523476 & 0.738262 \tabularnewline
193 & 0.280664 & 0.561329 & 0.719336 \tabularnewline
194 & 0.266677 & 0.533355 & 0.733323 \tabularnewline
195 & 0.265976 & 0.531953 & 0.734024 \tabularnewline
196 & 0.270315 & 0.54063 & 0.729685 \tabularnewline
197 & 0.309281 & 0.618562 & 0.690719 \tabularnewline
198 & 0.292226 & 0.584451 & 0.707774 \tabularnewline
199 & 0.332751 & 0.665502 & 0.667249 \tabularnewline
200 & 0.30147 & 0.60294 & 0.69853 \tabularnewline
201 & 0.350991 & 0.701982 & 0.649009 \tabularnewline
202 & 0.320991 & 0.641983 & 0.679009 \tabularnewline
203 & 0.371062 & 0.742124 & 0.628938 \tabularnewline
204 & 0.331779 & 0.663558 & 0.668221 \tabularnewline
205 & 0.295804 & 0.591607 & 0.704196 \tabularnewline
206 & 0.276581 & 0.553162 & 0.723419 \tabularnewline
207 & 0.243342 & 0.486685 & 0.756658 \tabularnewline
208 & 0.281642 & 0.563283 & 0.718358 \tabularnewline
209 & 0.248191 & 0.496381 & 0.751809 \tabularnewline
210 & 0.255441 & 0.510882 & 0.744559 \tabularnewline
211 & 0.27582 & 0.55164 & 0.72418 \tabularnewline
212 & 0.287491 & 0.574981 & 0.712509 \tabularnewline
213 & 0.256849 & 0.513697 & 0.743151 \tabularnewline
214 & 0.32386 & 0.647721 & 0.67614 \tabularnewline
215 & 0.294159 & 0.588318 & 0.705841 \tabularnewline
216 & 0.276339 & 0.552678 & 0.723661 \tabularnewline
217 & 0.311393 & 0.622786 & 0.688607 \tabularnewline
218 & 0.278589 & 0.557179 & 0.721411 \tabularnewline
219 & 0.265116 & 0.530232 & 0.734884 \tabularnewline
220 & 0.28996 & 0.57992 & 0.71004 \tabularnewline
221 & 0.303067 & 0.606134 & 0.696933 \tabularnewline
222 & 0.303025 & 0.60605 & 0.696975 \tabularnewline
223 & 0.286779 & 0.573558 & 0.713221 \tabularnewline
224 & 0.248746 & 0.497491 & 0.751254 \tabularnewline
225 & 0.247182 & 0.494364 & 0.752818 \tabularnewline
226 & 0.283433 & 0.566866 & 0.716567 \tabularnewline
227 & 0.509196 & 0.981608 & 0.490804 \tabularnewline
228 & 0.484216 & 0.968432 & 0.515784 \tabularnewline
229 & 0.459351 & 0.918703 & 0.540649 \tabularnewline
230 & 0.447531 & 0.895061 & 0.552469 \tabularnewline
231 & 0.404428 & 0.808855 & 0.595572 \tabularnewline
232 & 0.446956 & 0.893912 & 0.553044 \tabularnewline
233 & 0.393341 & 0.786682 & 0.606659 \tabularnewline
234 & 0.351453 & 0.702906 & 0.648547 \tabularnewline
235 & 0.361524 & 0.723048 & 0.638476 \tabularnewline
236 & 0.329187 & 0.658374 & 0.670813 \tabularnewline
237 & 0.298517 & 0.597034 & 0.701483 \tabularnewline
238 & 0.248161 & 0.496321 & 0.751839 \tabularnewline
239 & 0.400691 & 0.801383 & 0.599309 \tabularnewline
240 & 0.386214 & 0.772428 & 0.613786 \tabularnewline
241 & 0.358362 & 0.716723 & 0.641638 \tabularnewline
242 & 0.494661 & 0.989323 & 0.505339 \tabularnewline
243 & 0.425785 & 0.85157 & 0.574215 \tabularnewline
244 & 0.358916 & 0.717832 & 0.641084 \tabularnewline
245 & 0.417288 & 0.834576 & 0.582712 \tabularnewline
246 & 0.354519 & 0.709038 & 0.645481 \tabularnewline
247 & 0.28688 & 0.57376 & 0.71312 \tabularnewline
248 & 0.510485 & 0.97903 & 0.489515 \tabularnewline
249 & 0.423778 & 0.847556 & 0.576222 \tabularnewline
250 & 0.337806 & 0.675611 & 0.662194 \tabularnewline
251 & 0.423591 & 0.847181 & 0.576409 \tabularnewline
252 & 0.645664 & 0.708673 & 0.354336 \tabularnewline
253 & 0.551899 & 0.896202 & 0.448101 \tabularnewline
254 & 0.473719 & 0.947439 & 0.526281 \tabularnewline
255 & 0.429245 & 0.85849 & 0.570755 \tabularnewline
256 & 0.308332 & 0.616664 & 0.691668 \tabularnewline
257 & 0.1879 & 0.375801 & 0.8121 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226741&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]7[/C][C]0.841623[/C][C]0.316753[/C][C]0.158377[/C][/ROW]
[ROW][C]8[/C][C]0.797831[/C][C]0.404338[/C][C]0.202169[/C][/ROW]
[ROW][C]9[/C][C]0.688783[/C][C]0.622433[/C][C]0.311217[/C][/ROW]
[ROW][C]10[/C][C]0.573966[/C][C]0.852068[/C][C]0.426034[/C][/ROW]
[ROW][C]11[/C][C]0.577792[/C][C]0.844416[/C][C]0.422208[/C][/ROW]
[ROW][C]12[/C][C]0.922947[/C][C]0.154106[/C][C]0.0770528[/C][/ROW]
[ROW][C]13[/C][C]0.977937[/C][C]0.0441264[/C][C]0.0220632[/C][/ROW]
[ROW][C]14[/C][C]0.973503[/C][C]0.0529943[/C][C]0.0264972[/C][/ROW]
[ROW][C]15[/C][C]0.972612[/C][C]0.0547768[/C][C]0.0273884[/C][/ROW]
[ROW][C]16[/C][C]0.958647[/C][C]0.0827061[/C][C]0.041353[/C][/ROW]
[ROW][C]17[/C][C]0.944368[/C][C]0.111263[/C][C]0.0556316[/C][/ROW]
[ROW][C]18[/C][C]0.927319[/C][C]0.145362[/C][C]0.072681[/C][/ROW]
[ROW][C]19[/C][C]0.90716[/C][C]0.185679[/C][C]0.0928395[/C][/ROW]
[ROW][C]20[/C][C]0.895087[/C][C]0.209826[/C][C]0.104913[/C][/ROW]
[ROW][C]21[/C][C]0.900546[/C][C]0.198909[/C][C]0.0994544[/C][/ROW]
[ROW][C]22[/C][C]0.943198[/C][C]0.113605[/C][C]0.0568023[/C][/ROW]
[ROW][C]23[/C][C]0.922562[/C][C]0.154876[/C][C]0.0774378[/C][/ROW]
[ROW][C]24[/C][C]0.918107[/C][C]0.163786[/C][C]0.0818932[/C][/ROW]
[ROW][C]25[/C][C]0.897769[/C][C]0.204462[/C][C]0.102231[/C][/ROW]
[ROW][C]26[/C][C]0.995228[/C][C]0.00954457[/C][C]0.00477228[/C][/ROW]
[ROW][C]27[/C][C]0.993184[/C][C]0.0136327[/C][C]0.00681637[/C][/ROW]
[ROW][C]28[/C][C]0.990257[/C][C]0.0194852[/C][C]0.0097426[/C][/ROW]
[ROW][C]29[/C][C]0.986283[/C][C]0.0274338[/C][C]0.0137169[/C][/ROW]
[ROW][C]30[/C][C]0.992305[/C][C]0.0153906[/C][C]0.00769531[/C][/ROW]
[ROW][C]31[/C][C]0.988981[/C][C]0.0220383[/C][C]0.0110191[/C][/ROW]
[ROW][C]32[/C][C]0.985018[/C][C]0.0299641[/C][C]0.014982[/C][/ROW]
[ROW][C]33[/C][C]0.983166[/C][C]0.0336675[/C][C]0.0168337[/C][/ROW]
[ROW][C]34[/C][C]0.977345[/C][C]0.0453095[/C][C]0.0226547[/C][/ROW]
[ROW][C]35[/C][C]0.970625[/C][C]0.0587507[/C][C]0.0293753[/C][/ROW]
[ROW][C]36[/C][C]0.961234[/C][C]0.0775315[/C][C]0.0387657[/C][/ROW]
[ROW][C]37[/C][C]0.972073[/C][C]0.0558546[/C][C]0.0279273[/C][/ROW]
[ROW][C]38[/C][C]0.963592[/C][C]0.0728159[/C][C]0.0364079[/C][/ROW]
[ROW][C]39[/C][C]0.958205[/C][C]0.0835907[/C][C]0.0417954[/C][/ROW]
[ROW][C]40[/C][C]0.959141[/C][C]0.0817173[/C][C]0.0408587[/C][/ROW]
[ROW][C]41[/C][C]0.94858[/C][C]0.10284[/C][C]0.0514201[/C][/ROW]
[ROW][C]42[/C][C]0.945947[/C][C]0.108106[/C][C]0.0540528[/C][/ROW]
[ROW][C]43[/C][C]0.93274[/C][C]0.134521[/C][C]0.0672603[/C][/ROW]
[ROW][C]44[/C][C]0.921878[/C][C]0.156244[/C][C]0.078122[/C][/ROW]
[ROW][C]45[/C][C]0.903669[/C][C]0.192661[/C][C]0.0963307[/C][/ROW]
[ROW][C]46[/C][C]0.917483[/C][C]0.165033[/C][C]0.0825167[/C][/ROW]
[ROW][C]47[/C][C]0.89842[/C][C]0.203159[/C][C]0.10158[/C][/ROW]
[ROW][C]48[/C][C]0.87671[/C][C]0.24658[/C][C]0.12329[/C][/ROW]
[ROW][C]49[/C][C]0.901385[/C][C]0.197229[/C][C]0.0986147[/C][/ROW]
[ROW][C]50[/C][C]0.897554[/C][C]0.204892[/C][C]0.102446[/C][/ROW]
[ROW][C]51[/C][C]0.878983[/C][C]0.242034[/C][C]0.121017[/C][/ROW]
[ROW][C]52[/C][C]0.856113[/C][C]0.287773[/C][C]0.143887[/C][/ROW]
[ROW][C]53[/C][C]0.838043[/C][C]0.323914[/C][C]0.161957[/C][/ROW]
[ROW][C]54[/C][C]0.829408[/C][C]0.341184[/C][C]0.170592[/C][/ROW]
[ROW][C]55[/C][C]0.815376[/C][C]0.369248[/C][C]0.184624[/C][/ROW]
[ROW][C]56[/C][C]0.795736[/C][C]0.408528[/C][C]0.204264[/C][/ROW]
[ROW][C]57[/C][C]0.781441[/C][C]0.437118[/C][C]0.218559[/C][/ROW]
[ROW][C]58[/C][C]0.74911[/C][C]0.50178[/C][C]0.25089[/C][/ROW]
[ROW][C]59[/C][C]0.792059[/C][C]0.415883[/C][C]0.207941[/C][/ROW]
[ROW][C]60[/C][C]0.785296[/C][C]0.429407[/C][C]0.214704[/C][/ROW]
[ROW][C]61[/C][C]0.808351[/C][C]0.383298[/C][C]0.191649[/C][/ROW]
[ROW][C]62[/C][C]0.804132[/C][C]0.391736[/C][C]0.195868[/C][/ROW]
[ROW][C]63[/C][C]0.87124[/C][C]0.257521[/C][C]0.12876[/C][/ROW]
[ROW][C]64[/C][C]0.85646[/C][C]0.28708[/C][C]0.14354[/C][/ROW]
[ROW][C]65[/C][C]0.844143[/C][C]0.311713[/C][C]0.155857[/C][/ROW]
[ROW][C]66[/C][C]0.94053[/C][C]0.11894[/C][C]0.0594701[/C][/ROW]
[ROW][C]67[/C][C]0.939384[/C][C]0.121232[/C][C]0.0606159[/C][/ROW]
[ROW][C]68[/C][C]0.94704[/C][C]0.105921[/C][C]0.0529604[/C][/ROW]
[ROW][C]69[/C][C]0.94274[/C][C]0.11452[/C][C]0.0572602[/C][/ROW]
[ROW][C]70[/C][C]0.935703[/C][C]0.128594[/C][C]0.0642968[/C][/ROW]
[ROW][C]71[/C][C]0.923914[/C][C]0.152171[/C][C]0.0760857[/C][/ROW]
[ROW][C]72[/C][C]0.942354[/C][C]0.115293[/C][C]0.0576464[/C][/ROW]
[ROW][C]73[/C][C]0.930845[/C][C]0.13831[/C][C]0.0691549[/C][/ROW]
[ROW][C]74[/C][C]0.916994[/C][C]0.166011[/C][C]0.0830057[/C][/ROW]
[ROW][C]75[/C][C]0.916365[/C][C]0.16727[/C][C]0.0836348[/C][/ROW]
[ROW][C]76[/C][C]0.901462[/C][C]0.197077[/C][C]0.0985385[/C][/ROW]
[ROW][C]77[/C][C]0.918312[/C][C]0.163376[/C][C]0.0816881[/C][/ROW]
[ROW][C]78[/C][C]0.903524[/C][C]0.192952[/C][C]0.0964758[/C][/ROW]
[ROW][C]79[/C][C]0.891315[/C][C]0.217369[/C][C]0.108685[/C][/ROW]
[ROW][C]80[/C][C]0.88933[/C][C]0.221339[/C][C]0.11067[/C][/ROW]
[ROW][C]81[/C][C]0.870252[/C][C]0.259497[/C][C]0.129748[/C][/ROW]
[ROW][C]82[/C][C]0.849689[/C][C]0.300622[/C][C]0.150311[/C][/ROW]
[ROW][C]83[/C][C]0.841943[/C][C]0.316115[/C][C]0.158057[/C][/ROW]
[ROW][C]84[/C][C]0.820763[/C][C]0.358474[/C][C]0.179237[/C][/ROW]
[ROW][C]85[/C][C]0.795409[/C][C]0.409183[/C][C]0.204591[/C][/ROW]
[ROW][C]86[/C][C]0.774814[/C][C]0.450372[/C][C]0.225186[/C][/ROW]
[ROW][C]87[/C][C]0.746425[/C][C]0.50715[/C][C]0.253575[/C][/ROW]
[ROW][C]88[/C][C]0.715817[/C][C]0.568366[/C][C]0.284183[/C][/ROW]
[ROW][C]89[/C][C]0.794058[/C][C]0.411883[/C][C]0.205942[/C][/ROW]
[ROW][C]90[/C][C]0.832654[/C][C]0.334693[/C][C]0.167346[/C][/ROW]
[ROW][C]91[/C][C]0.808428[/C][C]0.383144[/C][C]0.191572[/C][/ROW]
[ROW][C]92[/C][C]0.786638[/C][C]0.426724[/C][C]0.213362[/C][/ROW]
[ROW][C]93[/C][C]0.760574[/C][C]0.478852[/C][C]0.239426[/C][/ROW]
[ROW][C]94[/C][C]0.741829[/C][C]0.516343[/C][C]0.258171[/C][/ROW]
[ROW][C]95[/C][C]0.71947[/C][C]0.561061[/C][C]0.28053[/C][/ROW]
[ROW][C]96[/C][C]0.694258[/C][C]0.611484[/C][C]0.305742[/C][/ROW]
[ROW][C]97[/C][C]0.667937[/C][C]0.664126[/C][C]0.332063[/C][/ROW]
[ROW][C]98[/C][C]0.667671[/C][C]0.664658[/C][C]0.332329[/C][/ROW]
[ROW][C]99[/C][C]0.633986[/C][C]0.732028[/C][C]0.366014[/C][/ROW]
[ROW][C]100[/C][C]0.62639[/C][C]0.747219[/C][C]0.37361[/C][/ROW]
[ROW][C]101[/C][C]0.600043[/C][C]0.799915[/C][C]0.399957[/C][/ROW]
[ROW][C]102[/C][C]0.572377[/C][C]0.855245[/C][C]0.427623[/C][/ROW]
[ROW][C]103[/C][C]0.641884[/C][C]0.716232[/C][C]0.358116[/C][/ROW]
[ROW][C]104[/C][C]0.636572[/C][C]0.726857[/C][C]0.363428[/C][/ROW]
[ROW][C]105[/C][C]0.654769[/C][C]0.690462[/C][C]0.345231[/C][/ROW]
[ROW][C]106[/C][C]0.630345[/C][C]0.73931[/C][C]0.369655[/C][/ROW]
[ROW][C]107[/C][C]0.633306[/C][C]0.733388[/C][C]0.366694[/C][/ROW]
[ROW][C]108[/C][C]0.66224[/C][C]0.67552[/C][C]0.33776[/C][/ROW]
[ROW][C]109[/C][C]0.638845[/C][C]0.72231[/C][C]0.361155[/C][/ROW]
[ROW][C]110[/C][C]0.613337[/C][C]0.773327[/C][C]0.386663[/C][/ROW]
[ROW][C]111[/C][C]0.625518[/C][C]0.748964[/C][C]0.374482[/C][/ROW]
[ROW][C]112[/C][C]0.634395[/C][C]0.73121[/C][C]0.365605[/C][/ROW]
[ROW][C]113[/C][C]0.630144[/C][C]0.739711[/C][C]0.369856[/C][/ROW]
[ROW][C]114[/C][C]0.714381[/C][C]0.571238[/C][C]0.285619[/C][/ROW]
[ROW][C]115[/C][C]0.684506[/C][C]0.630988[/C][C]0.315494[/C][/ROW]
[ROW][C]116[/C][C]0.660525[/C][C]0.678949[/C][C]0.339475[/C][/ROW]
[ROW][C]117[/C][C]0.628384[/C][C]0.743232[/C][C]0.371616[/C][/ROW]
[ROW][C]118[/C][C]0.605616[/C][C]0.788768[/C][C]0.394384[/C][/ROW]
[ROW][C]119[/C][C]0.572015[/C][C]0.85597[/C][C]0.427985[/C][/ROW]
[ROW][C]120[/C][C]0.539915[/C][C]0.920171[/C][C]0.460085[/C][/ROW]
[ROW][C]121[/C][C]0.505431[/C][C]0.989139[/C][C]0.494569[/C][/ROW]
[ROW][C]122[/C][C]0.470701[/C][C]0.941403[/C][C]0.529299[/C][/ROW]
[ROW][C]123[/C][C]0.442492[/C][C]0.884983[/C][C]0.557508[/C][/ROW]
[ROW][C]124[/C][C]0.40885[/C][C]0.817699[/C][C]0.59115[/C][/ROW]
[ROW][C]125[/C][C]0.404806[/C][C]0.809612[/C][C]0.595194[/C][/ROW]
[ROW][C]126[/C][C]0.376355[/C][C]0.752711[/C][C]0.623645[/C][/ROW]
[ROW][C]127[/C][C]0.370039[/C][C]0.740079[/C][C]0.629961[/C][/ROW]
[ROW][C]128[/C][C]0.483039[/C][C]0.966078[/C][C]0.516961[/C][/ROW]
[ROW][C]129[/C][C]0.464083[/C][C]0.928166[/C][C]0.535917[/C][/ROW]
[ROW][C]130[/C][C]0.452637[/C][C]0.905274[/C][C]0.547363[/C][/ROW]
[ROW][C]131[/C][C]0.447407[/C][C]0.894814[/C][C]0.552593[/C][/ROW]
[ROW][C]132[/C][C]0.413199[/C][C]0.826398[/C][C]0.586801[/C][/ROW]
[ROW][C]133[/C][C]0.423396[/C][C]0.846793[/C][C]0.576604[/C][/ROW]
[ROW][C]134[/C][C]0.394969[/C][C]0.789938[/C][C]0.605031[/C][/ROW]
[ROW][C]135[/C][C]0.401539[/C][C]0.803079[/C][C]0.598461[/C][/ROW]
[ROW][C]136[/C][C]0.384619[/C][C]0.769238[/C][C]0.615381[/C][/ROW]
[ROW][C]137[/C][C]0.356224[/C][C]0.712448[/C][C]0.643776[/C][/ROW]
[ROW][C]138[/C][C]0.332468[/C][C]0.664935[/C][C]0.667532[/C][/ROW]
[ROW][C]139[/C][C]0.307055[/C][C]0.614111[/C][C]0.692945[/C][/ROW]
[ROW][C]140[/C][C]0.282643[/C][C]0.565287[/C][C]0.717357[/C][/ROW]
[ROW][C]141[/C][C]0.255138[/C][C]0.510277[/C][C]0.744862[/C][/ROW]
[ROW][C]142[/C][C]0.262375[/C][C]0.524749[/C][C]0.737625[/C][/ROW]
[ROW][C]143[/C][C]0.23846[/C][C]0.476921[/C][C]0.76154[/C][/ROW]
[ROW][C]144[/C][C]0.214868[/C][C]0.429737[/C][C]0.785132[/C][/ROW]
[ROW][C]145[/C][C]0.203307[/C][C]0.406614[/C][C]0.796693[/C][/ROW]
[ROW][C]146[/C][C]0.193409[/C][C]0.386819[/C][C]0.806591[/C][/ROW]
[ROW][C]147[/C][C]0.203359[/C][C]0.406718[/C][C]0.796641[/C][/ROW]
[ROW][C]148[/C][C]0.223711[/C][C]0.447422[/C][C]0.776289[/C][/ROW]
[ROW][C]149[/C][C]0.239556[/C][C]0.479113[/C][C]0.760444[/C][/ROW]
[ROW][C]150[/C][C]0.239147[/C][C]0.478294[/C][C]0.760853[/C][/ROW]
[ROW][C]151[/C][C]0.215116[/C][C]0.430233[/C][C]0.784884[/C][/ROW]
[ROW][C]152[/C][C]0.193158[/C][C]0.386315[/C][C]0.806842[/C][/ROW]
[ROW][C]153[/C][C]0.19901[/C][C]0.39802[/C][C]0.80099[/C][/ROW]
[ROW][C]154[/C][C]0.211437[/C][C]0.422874[/C][C]0.788563[/C][/ROW]
[ROW][C]155[/C][C]0.19888[/C][C]0.397761[/C][C]0.80112[/C][/ROW]
[ROW][C]156[/C][C]0.174969[/C][C]0.349938[/C][C]0.825031[/C][/ROW]
[ROW][C]157[/C][C]0.15674[/C][C]0.31348[/C][C]0.84326[/C][/ROW]
[ROW][C]158[/C][C]0.248447[/C][C]0.496894[/C][C]0.751553[/C][/ROW]
[ROW][C]159[/C][C]0.266845[/C][C]0.53369[/C][C]0.733155[/C][/ROW]
[ROW][C]160[/C][C]0.240612[/C][C]0.481225[/C][C]0.759388[/C][/ROW]
[ROW][C]161[/C][C]0.216306[/C][C]0.432611[/C][C]0.783694[/C][/ROW]
[ROW][C]162[/C][C]0.193847[/C][C]0.387694[/C][C]0.806153[/C][/ROW]
[ROW][C]163[/C][C]0.174644[/C][C]0.349287[/C][C]0.825356[/C][/ROW]
[ROW][C]164[/C][C]0.295849[/C][C]0.591697[/C][C]0.704151[/C][/ROW]
[ROW][C]165[/C][C]0.290787[/C][C]0.581573[/C][C]0.709213[/C][/ROW]
[ROW][C]166[/C][C]0.286865[/C][C]0.57373[/C][C]0.713135[/C][/ROW]
[ROW][C]167[/C][C]0.257898[/C][C]0.515796[/C][C]0.742102[/C][/ROW]
[ROW][C]168[/C][C]0.237946[/C][C]0.475892[/C][C]0.762054[/C][/ROW]
[ROW][C]169[/C][C]0.302132[/C][C]0.604265[/C][C]0.697868[/C][/ROW]
[ROW][C]170[/C][C]0.336951[/C][C]0.673903[/C][C]0.663049[/C][/ROW]
[ROW][C]171[/C][C]0.306651[/C][C]0.613303[/C][C]0.693349[/C][/ROW]
[ROW][C]172[/C][C]0.301156[/C][C]0.602313[/C][C]0.698844[/C][/ROW]
[ROW][C]173[/C][C]0.476483[/C][C]0.952967[/C][C]0.523517[/C][/ROW]
[ROW][C]174[/C][C]0.464465[/C][C]0.928929[/C][C]0.535535[/C][/ROW]
[ROW][C]175[/C][C]0.490375[/C][C]0.98075[/C][C]0.509625[/C][/ROW]
[ROW][C]176[/C][C]0.505344[/C][C]0.989311[/C][C]0.494656[/C][/ROW]
[ROW][C]177[/C][C]0.561576[/C][C]0.876848[/C][C]0.438424[/C][/ROW]
[ROW][C]178[/C][C]0.528794[/C][C]0.942413[/C][C]0.471206[/C][/ROW]
[ROW][C]179[/C][C]0.506797[/C][C]0.986407[/C][C]0.493203[/C][/ROW]
[ROW][C]180[/C][C]0.508438[/C][C]0.983123[/C][C]0.491562[/C][/ROW]
[ROW][C]181[/C][C]0.470965[/C][C]0.94193[/C][C]0.529035[/C][/ROW]
[ROW][C]182[/C][C]0.463523[/C][C]0.927046[/C][C]0.536477[/C][/ROW]
[ROW][C]183[/C][C]0.425636[/C][C]0.851272[/C][C]0.574364[/C][/ROW]
[ROW][C]184[/C][C]0.398197[/C][C]0.796395[/C][C]0.601803[/C][/ROW]
[ROW][C]185[/C][C]0.397863[/C][C]0.795727[/C][C]0.602137[/C][/ROW]
[ROW][C]186[/C][C]0.384325[/C][C]0.76865[/C][C]0.615675[/C][/ROW]
[ROW][C]187[/C][C]0.350116[/C][C]0.700233[/C][C]0.649884[/C][/ROW]
[ROW][C]188[/C][C]0.325968[/C][C]0.651936[/C][C]0.674032[/C][/ROW]
[ROW][C]189[/C][C]0.292345[/C][C]0.584691[/C][C]0.707655[/C][/ROW]
[ROW][C]190[/C][C]0.27152[/C][C]0.54304[/C][C]0.72848[/C][/ROW]
[ROW][C]191[/C][C]0.284808[/C][C]0.569617[/C][C]0.715192[/C][/ROW]
[ROW][C]192[/C][C]0.261738[/C][C]0.523476[/C][C]0.738262[/C][/ROW]
[ROW][C]193[/C][C]0.280664[/C][C]0.561329[/C][C]0.719336[/C][/ROW]
[ROW][C]194[/C][C]0.266677[/C][C]0.533355[/C][C]0.733323[/C][/ROW]
[ROW][C]195[/C][C]0.265976[/C][C]0.531953[/C][C]0.734024[/C][/ROW]
[ROW][C]196[/C][C]0.270315[/C][C]0.54063[/C][C]0.729685[/C][/ROW]
[ROW][C]197[/C][C]0.309281[/C][C]0.618562[/C][C]0.690719[/C][/ROW]
[ROW][C]198[/C][C]0.292226[/C][C]0.584451[/C][C]0.707774[/C][/ROW]
[ROW][C]199[/C][C]0.332751[/C][C]0.665502[/C][C]0.667249[/C][/ROW]
[ROW][C]200[/C][C]0.30147[/C][C]0.60294[/C][C]0.69853[/C][/ROW]
[ROW][C]201[/C][C]0.350991[/C][C]0.701982[/C][C]0.649009[/C][/ROW]
[ROW][C]202[/C][C]0.320991[/C][C]0.641983[/C][C]0.679009[/C][/ROW]
[ROW][C]203[/C][C]0.371062[/C][C]0.742124[/C][C]0.628938[/C][/ROW]
[ROW][C]204[/C][C]0.331779[/C][C]0.663558[/C][C]0.668221[/C][/ROW]
[ROW][C]205[/C][C]0.295804[/C][C]0.591607[/C][C]0.704196[/C][/ROW]
[ROW][C]206[/C][C]0.276581[/C][C]0.553162[/C][C]0.723419[/C][/ROW]
[ROW][C]207[/C][C]0.243342[/C][C]0.486685[/C][C]0.756658[/C][/ROW]
[ROW][C]208[/C][C]0.281642[/C][C]0.563283[/C][C]0.718358[/C][/ROW]
[ROW][C]209[/C][C]0.248191[/C][C]0.496381[/C][C]0.751809[/C][/ROW]
[ROW][C]210[/C][C]0.255441[/C][C]0.510882[/C][C]0.744559[/C][/ROW]
[ROW][C]211[/C][C]0.27582[/C][C]0.55164[/C][C]0.72418[/C][/ROW]
[ROW][C]212[/C][C]0.287491[/C][C]0.574981[/C][C]0.712509[/C][/ROW]
[ROW][C]213[/C][C]0.256849[/C][C]0.513697[/C][C]0.743151[/C][/ROW]
[ROW][C]214[/C][C]0.32386[/C][C]0.647721[/C][C]0.67614[/C][/ROW]
[ROW][C]215[/C][C]0.294159[/C][C]0.588318[/C][C]0.705841[/C][/ROW]
[ROW][C]216[/C][C]0.276339[/C][C]0.552678[/C][C]0.723661[/C][/ROW]
[ROW][C]217[/C][C]0.311393[/C][C]0.622786[/C][C]0.688607[/C][/ROW]
[ROW][C]218[/C][C]0.278589[/C][C]0.557179[/C][C]0.721411[/C][/ROW]
[ROW][C]219[/C][C]0.265116[/C][C]0.530232[/C][C]0.734884[/C][/ROW]
[ROW][C]220[/C][C]0.28996[/C][C]0.57992[/C][C]0.71004[/C][/ROW]
[ROW][C]221[/C][C]0.303067[/C][C]0.606134[/C][C]0.696933[/C][/ROW]
[ROW][C]222[/C][C]0.303025[/C][C]0.60605[/C][C]0.696975[/C][/ROW]
[ROW][C]223[/C][C]0.286779[/C][C]0.573558[/C][C]0.713221[/C][/ROW]
[ROW][C]224[/C][C]0.248746[/C][C]0.497491[/C][C]0.751254[/C][/ROW]
[ROW][C]225[/C][C]0.247182[/C][C]0.494364[/C][C]0.752818[/C][/ROW]
[ROW][C]226[/C][C]0.283433[/C][C]0.566866[/C][C]0.716567[/C][/ROW]
[ROW][C]227[/C][C]0.509196[/C][C]0.981608[/C][C]0.490804[/C][/ROW]
[ROW][C]228[/C][C]0.484216[/C][C]0.968432[/C][C]0.515784[/C][/ROW]
[ROW][C]229[/C][C]0.459351[/C][C]0.918703[/C][C]0.540649[/C][/ROW]
[ROW][C]230[/C][C]0.447531[/C][C]0.895061[/C][C]0.552469[/C][/ROW]
[ROW][C]231[/C][C]0.404428[/C][C]0.808855[/C][C]0.595572[/C][/ROW]
[ROW][C]232[/C][C]0.446956[/C][C]0.893912[/C][C]0.553044[/C][/ROW]
[ROW][C]233[/C][C]0.393341[/C][C]0.786682[/C][C]0.606659[/C][/ROW]
[ROW][C]234[/C][C]0.351453[/C][C]0.702906[/C][C]0.648547[/C][/ROW]
[ROW][C]235[/C][C]0.361524[/C][C]0.723048[/C][C]0.638476[/C][/ROW]
[ROW][C]236[/C][C]0.329187[/C][C]0.658374[/C][C]0.670813[/C][/ROW]
[ROW][C]237[/C][C]0.298517[/C][C]0.597034[/C][C]0.701483[/C][/ROW]
[ROW][C]238[/C][C]0.248161[/C][C]0.496321[/C][C]0.751839[/C][/ROW]
[ROW][C]239[/C][C]0.400691[/C][C]0.801383[/C][C]0.599309[/C][/ROW]
[ROW][C]240[/C][C]0.386214[/C][C]0.772428[/C][C]0.613786[/C][/ROW]
[ROW][C]241[/C][C]0.358362[/C][C]0.716723[/C][C]0.641638[/C][/ROW]
[ROW][C]242[/C][C]0.494661[/C][C]0.989323[/C][C]0.505339[/C][/ROW]
[ROW][C]243[/C][C]0.425785[/C][C]0.85157[/C][C]0.574215[/C][/ROW]
[ROW][C]244[/C][C]0.358916[/C][C]0.717832[/C][C]0.641084[/C][/ROW]
[ROW][C]245[/C][C]0.417288[/C][C]0.834576[/C][C]0.582712[/C][/ROW]
[ROW][C]246[/C][C]0.354519[/C][C]0.709038[/C][C]0.645481[/C][/ROW]
[ROW][C]247[/C][C]0.28688[/C][C]0.57376[/C][C]0.71312[/C][/ROW]
[ROW][C]248[/C][C]0.510485[/C][C]0.97903[/C][C]0.489515[/C][/ROW]
[ROW][C]249[/C][C]0.423778[/C][C]0.847556[/C][C]0.576222[/C][/ROW]
[ROW][C]250[/C][C]0.337806[/C][C]0.675611[/C][C]0.662194[/C][/ROW]
[ROW][C]251[/C][C]0.423591[/C][C]0.847181[/C][C]0.576409[/C][/ROW]
[ROW][C]252[/C][C]0.645664[/C][C]0.708673[/C][C]0.354336[/C][/ROW]
[ROW][C]253[/C][C]0.551899[/C][C]0.896202[/C][C]0.448101[/C][/ROW]
[ROW][C]254[/C][C]0.473719[/C][C]0.947439[/C][C]0.526281[/C][/ROW]
[ROW][C]255[/C][C]0.429245[/C][C]0.85849[/C][C]0.570755[/C][/ROW]
[ROW][C]256[/C][C]0.308332[/C][C]0.616664[/C][C]0.691668[/C][/ROW]
[ROW][C]257[/C][C]0.1879[/C][C]0.375801[/C][C]0.8121[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226741&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226741&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
70.8416230.3167530.158377
80.7978310.4043380.202169
90.6887830.6224330.311217
100.5739660.8520680.426034
110.5777920.8444160.422208
120.9229470.1541060.0770528
130.9779370.04412640.0220632
140.9735030.05299430.0264972
150.9726120.05477680.0273884
160.9586470.08270610.041353
170.9443680.1112630.0556316
180.9273190.1453620.072681
190.907160.1856790.0928395
200.8950870.2098260.104913
210.9005460.1989090.0994544
220.9431980.1136050.0568023
230.9225620.1548760.0774378
240.9181070.1637860.0818932
250.8977690.2044620.102231
260.9952280.009544570.00477228
270.9931840.01363270.00681637
280.9902570.01948520.0097426
290.9862830.02743380.0137169
300.9923050.01539060.00769531
310.9889810.02203830.0110191
320.9850180.02996410.014982
330.9831660.03366750.0168337
340.9773450.04530950.0226547
350.9706250.05875070.0293753
360.9612340.07753150.0387657
370.9720730.05585460.0279273
380.9635920.07281590.0364079
390.9582050.08359070.0417954
400.9591410.08171730.0408587
410.948580.102840.0514201
420.9459470.1081060.0540528
430.932740.1345210.0672603
440.9218780.1562440.078122
450.9036690.1926610.0963307
460.9174830.1650330.0825167
470.898420.2031590.10158
480.876710.246580.12329
490.9013850.1972290.0986147
500.8975540.2048920.102446
510.8789830.2420340.121017
520.8561130.2877730.143887
530.8380430.3239140.161957
540.8294080.3411840.170592
550.8153760.3692480.184624
560.7957360.4085280.204264
570.7814410.4371180.218559
580.749110.501780.25089
590.7920590.4158830.207941
600.7852960.4294070.214704
610.8083510.3832980.191649
620.8041320.3917360.195868
630.871240.2575210.12876
640.856460.287080.14354
650.8441430.3117130.155857
660.940530.118940.0594701
670.9393840.1212320.0606159
680.947040.1059210.0529604
690.942740.114520.0572602
700.9357030.1285940.0642968
710.9239140.1521710.0760857
720.9423540.1152930.0576464
730.9308450.138310.0691549
740.9169940.1660110.0830057
750.9163650.167270.0836348
760.9014620.1970770.0985385
770.9183120.1633760.0816881
780.9035240.1929520.0964758
790.8913150.2173690.108685
800.889330.2213390.11067
810.8702520.2594970.129748
820.8496890.3006220.150311
830.8419430.3161150.158057
840.8207630.3584740.179237
850.7954090.4091830.204591
860.7748140.4503720.225186
870.7464250.507150.253575
880.7158170.5683660.284183
890.7940580.4118830.205942
900.8326540.3346930.167346
910.8084280.3831440.191572
920.7866380.4267240.213362
930.7605740.4788520.239426
940.7418290.5163430.258171
950.719470.5610610.28053
960.6942580.6114840.305742
970.6679370.6641260.332063
980.6676710.6646580.332329
990.6339860.7320280.366014
1000.626390.7472190.37361
1010.6000430.7999150.399957
1020.5723770.8552450.427623
1030.6418840.7162320.358116
1040.6365720.7268570.363428
1050.6547690.6904620.345231
1060.6303450.739310.369655
1070.6333060.7333880.366694
1080.662240.675520.33776
1090.6388450.722310.361155
1100.6133370.7733270.386663
1110.6255180.7489640.374482
1120.6343950.731210.365605
1130.6301440.7397110.369856
1140.7143810.5712380.285619
1150.6845060.6309880.315494
1160.6605250.6789490.339475
1170.6283840.7432320.371616
1180.6056160.7887680.394384
1190.5720150.855970.427985
1200.5399150.9201710.460085
1210.5054310.9891390.494569
1220.4707010.9414030.529299
1230.4424920.8849830.557508
1240.408850.8176990.59115
1250.4048060.8096120.595194
1260.3763550.7527110.623645
1270.3700390.7400790.629961
1280.4830390.9660780.516961
1290.4640830.9281660.535917
1300.4526370.9052740.547363
1310.4474070.8948140.552593
1320.4131990.8263980.586801
1330.4233960.8467930.576604
1340.3949690.7899380.605031
1350.4015390.8030790.598461
1360.3846190.7692380.615381
1370.3562240.7124480.643776
1380.3324680.6649350.667532
1390.3070550.6141110.692945
1400.2826430.5652870.717357
1410.2551380.5102770.744862
1420.2623750.5247490.737625
1430.238460.4769210.76154
1440.2148680.4297370.785132
1450.2033070.4066140.796693
1460.1934090.3868190.806591
1470.2033590.4067180.796641
1480.2237110.4474220.776289
1490.2395560.4791130.760444
1500.2391470.4782940.760853
1510.2151160.4302330.784884
1520.1931580.3863150.806842
1530.199010.398020.80099
1540.2114370.4228740.788563
1550.198880.3977610.80112
1560.1749690.3499380.825031
1570.156740.313480.84326
1580.2484470.4968940.751553
1590.2668450.533690.733155
1600.2406120.4812250.759388
1610.2163060.4326110.783694
1620.1938470.3876940.806153
1630.1746440.3492870.825356
1640.2958490.5916970.704151
1650.2907870.5815730.709213
1660.2868650.573730.713135
1670.2578980.5157960.742102
1680.2379460.4758920.762054
1690.3021320.6042650.697868
1700.3369510.6739030.663049
1710.3066510.6133030.693349
1720.3011560.6023130.698844
1730.4764830.9529670.523517
1740.4644650.9289290.535535
1750.4903750.980750.509625
1760.5053440.9893110.494656
1770.5615760.8768480.438424
1780.5287940.9424130.471206
1790.5067970.9864070.493203
1800.5084380.9831230.491562
1810.4709650.941930.529035
1820.4635230.9270460.536477
1830.4256360.8512720.574364
1840.3981970.7963950.601803
1850.3978630.7957270.602137
1860.3843250.768650.615675
1870.3501160.7002330.649884
1880.3259680.6519360.674032
1890.2923450.5846910.707655
1900.271520.543040.72848
1910.2848080.5696170.715192
1920.2617380.5234760.738262
1930.2806640.5613290.719336
1940.2666770.5333550.733323
1950.2659760.5319530.734024
1960.2703150.540630.729685
1970.3092810.6185620.690719
1980.2922260.5844510.707774
1990.3327510.6655020.667249
2000.301470.602940.69853
2010.3509910.7019820.649009
2020.3209910.6419830.679009
2030.3710620.7421240.628938
2040.3317790.6635580.668221
2050.2958040.5916070.704196
2060.2765810.5531620.723419
2070.2433420.4866850.756658
2080.2816420.5632830.718358
2090.2481910.4963810.751809
2100.2554410.5108820.744559
2110.275820.551640.72418
2120.2874910.5749810.712509
2130.2568490.5136970.743151
2140.323860.6477210.67614
2150.2941590.5883180.705841
2160.2763390.5526780.723661
2170.3113930.6227860.688607
2180.2785890.5571790.721411
2190.2651160.5302320.734884
2200.289960.579920.71004
2210.3030670.6061340.696933
2220.3030250.606050.696975
2230.2867790.5735580.713221
2240.2487460.4974910.751254
2250.2471820.4943640.752818
2260.2834330.5668660.716567
2270.5091960.9816080.490804
2280.4842160.9684320.515784
2290.4593510.9187030.540649
2300.4475310.8950610.552469
2310.4044280.8088550.595572
2320.4469560.8939120.553044
2330.3933410.7866820.606659
2340.3514530.7029060.648547
2350.3615240.7230480.638476
2360.3291870.6583740.670813
2370.2985170.5970340.701483
2380.2481610.4963210.751839
2390.4006910.8013830.599309
2400.3862140.7724280.613786
2410.3583620.7167230.641638
2420.4946610.9893230.505339
2430.4257850.851570.574215
2440.3589160.7178320.641084
2450.4172880.8345760.582712
2460.3545190.7090380.645481
2470.286880.573760.71312
2480.5104850.979030.489515
2490.4237780.8475560.576222
2500.3378060.6756110.662194
2510.4235910.8471810.576409
2520.6456640.7086730.354336
2530.5518990.8962020.448101
2540.4737190.9474390.526281
2550.4292450.858490.570755
2560.3083320.6166640.691668
2570.18790.3758010.8121






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level10.00398406OK
5% type I error level100.0398406OK
10% type I error level190.0756972OK

\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 & 1 & 0.00398406 & OK \tabularnewline
5% type I error level & 10 & 0.0398406 & OK \tabularnewline
10% type I error level & 19 & 0.0756972 & OK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226741&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]1[/C][C]0.00398406[/C][C]OK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]10[/C][C]0.0398406[/C][C]OK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]19[/C][C]0.0756972[/C][C]OK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226741&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226741&T=6

As an alternative you can also use a QR Code:  
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The GUIDs for individual cells are displayed in the table below:

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level10.00398406OK
5% type I error level100.0398406OK
10% type I error level190.0756972OK


Figures (Output of Computation)

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Input Parameters & R Code

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