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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationMon, 10 Nov 2014 16:17:43 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Nov/10/t1415636293r5dtd42g0rtdkxr.htm/, Retrieved Sun, 19 May 2024 16:28:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=253387, Retrieved Sun, 19 May 2024 16:28:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact85

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [WS7: Vraag1] [2014-11-10 16:17:43] [58179e1d3a5a39b9daf58e365d8a3352] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
41 13 14 12 53 38
39 16 18 11 83 32
30 19 11 14 66 35
31 15 12 12 67 33
34 14 16 21 76 37
35 13 18 12 78 29
39 19 14 22 53 31
34 15 14 11 80 36
36 14 15 10 74 35
37 15 15 13 76 38
38 16 17 10 79 31
36 16 19 8 54 34
38 16 10 15 67 35
39 16 16 14 54 38
33 17 18 10 87 37
32 15 14 14 58 33
36 15 14 14 75 32
38 20 17 11 88 38
39 18 14 10 64 38
32 16 16 13 57 32
32 16 18 9.5 66 33
31 16 11 14 68 31
39 19 14 12 54 38
37 16 12 14 56 39
39 17 17 11 86 32
41 17 9 9 80 32
36 16 16 11 76 35
33 15 14 15 69 37
33 16 15 14 78 33
34 14 11 13 67 33
31 15 16 9 80 31
27 12 13 15 54 32
37 14 17 10 71 31
34 16 15 11 84 37
34 14 14 13 74 30
32 10 16 8 71 33
29 10 9 20 63 31
36 14 15 12 71 33
29 16 17 10 76 31
35 16 13 10 69 33
37 16 15 9 74 32
34 14 16 14 75 33
38 20 16 8 54 32
35 14 12 14 52 33
38 14 15 11 69 28
37 11 11 13 68 35
38 14 15 9 65 39
33 15 15 11 75 34
36 16 17 15 74 38
38 14 13 11 75 32
32 16 16 10 72 38
32 14 14 14 67 30
32 12 11 18 63 33
34 16 12 14 62 38
32 9 12 11 63 32
37 14 15 14.5 76 35
39 16 16 13 74 34
29 16 15 9 67 34
37 15 12 10 73 36
35 16 12 15 70 34
30 12 8 20 53 28
38 16 13 12 77 34
34 16 11 12 80 35
31 14 14 14 52 35
34 16 15 13 54 31
35 17 10 11 80 37
36 18 11 17 66 35
30 18 12 12 73 27
39 12 15 13 63 40
35 16 15 14 69 37
38 10 14 13 67 36
31 14 16 15 54 38
34 18 15 13 81 39
38 18 15 10 69 41
34 16 13 11 84 27
39 17 12 19 80 30
37 16 17 13 70 37
34 16 13 17 69 31
28 13 15 13 77 31
37 16 13 9 54 27
33 16 15 11 79 36
35 16 15 9 71 37
37 15 16 12 73 33
32 15 15 12 72 34
33 16 14 13 77 31
38 14 15 13 75 39
33 16 14 12 69 34
29 16 13 15 54 32
33 15 7 22 70 33
31 12 17 13 73 36
36 17 13 15 54 32
35 16 15 13 77 41
32 15 14 15 82 28
29 13 13 12.5 80 30
39 16 16 11 80 36
37 16 12 16 69 35
35 16 14 11 78 31
37 16 17 11 81 34
32 14 15 10 76 36
38 16 17 10 76 36
37 16 12 16 73 35
36 20 16 12 85 37
32 15 11 11 66 28
33 16 15 16 79 39
40 13 9 19 68 32
38 17 16 11 76 35
41 16 15 16 71 39
36 16 10 15 54 35
43 12 10 24 46 42
30 16 15 14 85 34
31 16 11 15 74 33
32 17 13 11 88 41
32 13 14 15 38 33
37 12 18 12 76 34
37 18 16 10 86 32
33 14 14 14 54 40
34 14 14 13 67 40
33 13 14 9 69 35
38 16 14 15 90 36
33 13 12 15 54 37
31 16 14 14 76 27
38 13 15 11 89 39
37 16 15 8 76 38
36 15 15 11 73 31
31 16 13 11 79 33
39 15 17 8 90 32
44 17 17 10 74 39
33 15 19 11 81 36
35 12 15 13 72 33
32 16 13 11 71 33
28 10 9 20 66 32
40 16 15 10 77 37
27 12 15 15 65 30
37 14 15 12 74 38
32 15 16 14 85 29
28 13 11 23 54 22
34 15 14 14 63 35
30 11 11 16 54 35
35 12 15 11 64 34
31 11 13 12 69 35
32 16 15 10 54 34
30 15 16 14 84 37
30 17 14 12 86 35
31 16 15 12 77 23
40 10 16 11 89 31
32 18 16 12 76 27
36 13 11 13 60 36
32 16 12 11 75 31
35 13 9 19 73 32
38 10 16 12 85 39
42 15 13 17 79 37
34 16 16 9 71 38
35 16 12 12 72 39
38 14 9 19 69 34
33 10 13 18 78 31
36 17 13 15 54 32
32 13 14 14 69 37
33 15 19 11 81 36
34 16 13 9 84 32
32 12 12 18 84 38
34 13 13 16 69 36
27 13 10 24 66 26
31 12 14 14 81 26
38 17 16 20 82 33
34 15 10 18 72 39
24 10 11 23 54 30
30 14 14 12 78 33
26 11 12 14 74 25
34 13 9 16 82 38
27 16 9 18 73 37
37 12 11 20 55 31
36 16 16 12 72 37
41 12 9 12 78 35
29 9 13 17 59 25
36 12 16 13 72 28
32 15 13 9 78 35
37 12 9 16 68 33
30 12 12 18 69 30
31 14 16 10 67 31
38 12 11 14 74 37
36 16 14 11 54 36
35 11 13 9 67 30
31 19 15 11 70 36
38 15 14 10 80 32
22 8 16 11 89 28
32 16 13 19 76 36
36 17 14 14 74 34
39 12 15 12 87 31
28 11 13 14 54 28
32 11 11 21 61 36
32 14 11 13 38 36
38 16 14 10 75 40
32 12 15 15 69 33
35 16 11 16 62 37
32 13 15 14 72 32
37 15 12 12 70 38
34 16 14 19 79 31
33 16 14 15 87 37
33 14 8 19 62 33
26 16 13 13 77 32
30 16 9 17 69 30
24 14 15 12 69 30
34 11 17 11 75 31
34 12 13 14 54 32
33 15 15 11 72 34
34 15 15 13 74 36
35 16 14 12 85 37
35 16 16 15 52 36
36 11 13 14 70 33
34 15 16 12 84 33
34 12 9 17 64 33
41 12 16 11 84 44
32 15 11 18 87 39
30 15 10 13 79 32
35 16 11 17 67 35
28 14 15 13 65 25
33 17 17 11 85 35
39 14 14 12 83 34
36 13 8 22 61 35
36 15 15 14 82 39
35 13 11 12 76 33
38 14 16 12 58 36
33 15 10 17 72 32
31 12 15 9 72 32
34 13 9 21 38 36
32 8 16 10 78 36
31 14 19 11 54 32
33 14 12 12 63 34
34 11 8 23 66 33
34 12 11 13 70 35
34 13 14 12 71 30
33 10 9 16 67 38
32 16 15 9 58 34
41 18 13 17 72 33
34 13 16 9 72 32
36 11 11 14 70 31
37 4 12 17 76 30
36 13 13 13 50 27
29 16 10 11 72 31
37 10 11 12 72 30
27 12 12 10 88 32
35 12 8 19 53 35
28 10 12 16 58 28
35 13 12 16 66 33
37 15 15 14 82 31
29 12 11 20 69 35
32 14 13 15 68 35
36 10 14 23 44 32
19 12 10 20 56 21
21 12 12 16 53 20
31 11 15 14 70 34
33 10 13 17 78 32
36 12 13 11 71 34
33 16 13 13 72 32
37 12 12 17 68 33
34 14 12 15 67 33
35 16 9 21 75 37
31 14 9 18 62 32
37 13 15 15 67 34
35 4 10 8 83 30
27 15 14 12 64 30
34 11 15 12 68 38
40 11 7 22 62 36
29 14 14 12 72 32

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 seconds
R Server'George Udny Yule' @ yule.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 8 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253387&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]8 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253387&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253387&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 seconds
R Server'George Udny Yule' @ yule.wessa.net






Multiple Linear Regression - Estimated Regression Equation
Connected[t] = + 16.4693 + 0.125861Learning[t] + 0.0401314Happiness[t] -0.0484845Depression[t] + 0.0173809Sport1[t] + 0.435464Separate[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Connected[t] =  +  16.4693 +  0.125861Learning[t] +  0.0401314Happiness[t] -0.0484845Depression[t] +  0.0173809Sport1[t] +  0.435464Separate[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253387&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Connected[t] =  +  16.4693 +  0.125861Learning[t] +  0.0401314Happiness[t] -0.0484845Depression[t] +  0.0173809Sport1[t] +  0.435464Separate[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253387&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253387&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
Connected[t] = + 16.4693 + 0.125861Learning[t] + 0.0401314Happiness[t] -0.0484845Depression[t] + 0.0173809Sport1[t] + 0.435464Separate[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)16.46933.263275.0478.48663e-074.24331e-07
Learning0.1258610.08988691.40.162650.0813251
Happiness0.04013140.1043050.38480.7007390.35037
Depression-0.04848450.075813-0.63950.5230470.261524
Sport10.01738090.02142840.81110.4180470.209024
Separate0.4354640.05781637.5328.42642e-134.21321e-13

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Ordinary Least Squares \tabularnewline
Variable & Parameter & S.D. & T-STATH0: parameter = 0 & 2-tail p-value & 1-tail p-value \tabularnewline
(Intercept) & 16.4693 & 3.26327 & 5.047 & 8.48663e-07 & 4.24331e-07 \tabularnewline
Learning & 0.125861 & 0.0898869 & 1.4 & 0.16265 & 0.0813251 \tabularnewline
Happiness & 0.0401314 & 0.104305 & 0.3848 & 0.700739 & 0.35037 \tabularnewline
Depression & -0.0484845 & 0.075813 & -0.6395 & 0.523047 & 0.261524 \tabularnewline
Sport1 & 0.0173809 & 0.0214284 & 0.8111 & 0.418047 & 0.209024 \tabularnewline
Separate & 0.435464 & 0.0578163 & 7.532 & 8.42642e-13 & 4.21321e-13 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253387&T=2

[TABLE]
[ROW][C]Multiple Linear Regression - Ordinary Least Squares[/C][/ROW]
[ROW][C]Variable[/C][C]Parameter[/C][C]S.D.[/C][C]T-STATH0: parameter = 0[/C][C]2-tail p-value[/C][C]1-tail p-value[/C][/ROW]
[ROW][C](Intercept)[/C][C]16.4693[/C][C]3.26327[/C][C]5.047[/C][C]8.48663e-07[/C][C]4.24331e-07[/C][/ROW]
[ROW][C]Learning[/C][C]0.125861[/C][C]0.0898869[/C][C]1.4[/C][C]0.16265[/C][C]0.0813251[/C][/ROW]
[ROW][C]Happiness[/C][C]0.0401314[/C][C]0.104305[/C][C]0.3848[/C][C]0.700739[/C][C]0.35037[/C][/ROW]
[ROW][C]Depression[/C][C]-0.0484845[/C][C]0.075813[/C][C]-0.6395[/C][C]0.523047[/C][C]0.261524[/C][/ROW]
[ROW][C]Sport1[/C][C]0.0173809[/C][C]0.0214284[/C][C]0.8111[/C][C]0.418047[/C][C]0.209024[/C][/ROW]
[ROW][C]Separate[/C][C]0.435464[/C][C]0.0578163[/C][C]7.532[/C][C]8.42642e-13[/C][C]4.21321e-13[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253387&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253387&T=2

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


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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)16.46933.263275.0478.48663e-074.24331e-07
Learning0.1258610.08988691.40.162650.0813251
Happiness0.04013140.1043050.38480.7007390.35037
Depression-0.04848450.075813-0.63950.5230470.261524
Sport10.01738090.02142840.81110.4180470.209024
Separate0.4354640.05781637.5328.42642e-134.21321e-13






Multiple Linear Regression - Regression Statistics
Multiple R0.474382
R-squared0.225038
Adjusted R-squared0.210019
F-TEST (value)14.9839
F-TEST (DF numerator)5
F-TEST (DF denominator)258
p-value6.47482e-13
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.37435
Sum Squared Residuals2937.64

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.474382 \tabularnewline
R-squared & 0.225038 \tabularnewline
Adjusted R-squared & 0.210019 \tabularnewline
F-TEST (value) & 14.9839 \tabularnewline
F-TEST (DF numerator) & 5 \tabularnewline
F-TEST (DF denominator) & 258 \tabularnewline
p-value & 6.47482e-13 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 3.37435 \tabularnewline
Sum Squared Residuals & 2937.64 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253387&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.474382[/C][/ROW]
[ROW][C]R-squared[/C][C]0.225038[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.210019[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]14.9839[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]5[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]258[/C][/ROW]
[ROW][C]p-value[/C][C]6.47482e-13[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]3.37435[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]2937.64[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253387&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253387&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 R0.474382
R-squared0.225038
Adjusted R-squared0.210019
F-TEST (value)14.9839
F-TEST (DF numerator)5
F-TEST (DF denominator)258
p-value6.47482e-13
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.37435
Sum Squared Residuals2937.64






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
14135.55445.44563
23934.04964.95039
33035.0117-5.01173
43133.7918-2.79184
53435.2884-1.28843
63532.23022.76976
73932.77646.22356
83435.4529-1.45293
93634.87591.12406
103736.19750.802504
113833.5534.44703
123634.60211.39793
133834.56293.43709
143935.93263.06738
153336.4708-3.47079
163233.6187-1.61871
173633.47872.52128
183837.21260.787396
193936.47182.52817
203233.4205-1.42047
213234.2623-2.26232
223132.9271-1.92705
233936.32692.67309
243736.24230.757677
253934.18754.81252
264133.85917.14089
273635.15410.845933
283335.5033-2.50327
293334.1323-1.13232
303433.57740.422637
313133.4528-2.45284
322732.6475-5.64752
333733.16223.8378
343436.1239-2.12391
353432.5131.48697
363233.5865-1.58652
372931.7138-2.71381
383633.85592.1441
392933.5008-4.50083
403534.08960.910437
413733.86983.13025
423433.86860.131417
433834.11423.88581
443533.30831.6917
453831.69236.3077
463734.08812.91191
473836.50981.49015
483334.5352-1.53523
493636.2719-0.271889
503833.45824.54182
513236.4394-4.43942
523232.3429-0.342882
533233.0137-1.01369
543435.9111-1.91115
553232.5802-0.580171
563734.69252.30748
573934.58694.41313
582934.619-5.61901
593735.29951.70051
603534.25990.740146
613030.4452-0.445204
623834.56713.43289
633434.9744-0.974449
643134.2595-3.25949
653432.89271.10727
663535.9796-0.97959
673634.74041.25958
683031.6609-1.66093
693936.46492.53511
703535.7177-0.717742
713834.50073.4993
723135.6324-4.63242
733437.0974-3.09745
743837.90530.0947431
753431.6892.31099
763932.62376.37627
773735.86391.13613
783432.87921.12076
792832.9149-4.91491
803731.26465.73545
813335.6015-2.60154
823535.9949-0.994927
833734.05672.94335
843234.4346-2.4346
853333.2524-0.252362
863836.48971.51028
873334.4682-1.46819
882933.151-4.15096
893333.1585-0.158481
903134.9771-3.97711
913633.27682.72318
923537.6471-2.64713
933231.810.189955
942932.4756-3.47557
953935.65913.34095
963734.62952.37055
973533.36671.63329
983734.84562.15436
993235.3462-3.34616
1003835.67812.32185
1013734.6992.30102
1023636.6364-0.636382
1033231.60550.394506
1043336.6655-3.66551
1054032.66227.33775
1063835.27992.72007
1074136.52654.47354
1083634.3371.66304
1094336.30646.69365
1103034.6894-4.68945
1113133.8538-2.85378
1123237.9809-5.98089
1133232.9709-0.97088
1143734.24692.75306
1153734.32172.67831
1163336.4716-3.47157
1173436.746-2.746
1183334.6715-1.67152
1193835.55872.44134
1203334.9106-1.91057
1213131.4446-0.444642
1223836.70421.29584
1233736.56580.43422
1243633.19412.80592
1253134.2149-3.21489
1263934.15074.84927
1274437.07566.92436
1283335.671-2.67097
1293533.57311.42693
1303234.0758-2.07584
1312832.2014-4.20142
1324036.05073.94927
1332732.048-5.04805
1343736.08540.914642
1353232.4264-0.426399
1362827.95060.0493943
1373434.5765-0.576537
1383033.6993-3.6993
1393533.96651.03354
1403134.2342-3.23422
1413234.3446-2.34458
1423035.8927-5.89273
1433035.325-5.32499
1443129.85731.14273
1454032.8837.117
1463231.87360.126404
1473634.63621.36377
1483233.2343-1.23431
1493532.74922.25085
1503836.24871.7513
1514235.546.46003
1523436.4705-2.47052
1533536.6174-1.61739
1543833.67644.32358
1553332.2320.767978
1563633.27682.72318
1573235.3-3.30003
1583335.671-2.67097
1593433.96330.0367018
1603235.5961-3.59614
1613434.7275-0.727464
1622729.8124-2.81242
1633130.59260.407361
1643834.07693.92307
1653436.1204-2.12036
1662431.0567-7.05673
1673033.9374-3.93743
1682629.8294-3.82938
1693435.6638-1.66382
1702735.3525-8.35254
1713731.90685.09325
1723635.9070.0930143
1734134.3566.64402
1742929.2116-0.211627
1753631.43594.56412
1763235.0395-3.03954
1773733.11733.88269
1783031.8517-1.85172
1793133.0525-2.05255
1803835.14072.85932
1813635.12690.873113
1823532.16762.83241
1833135.8227-4.8227
1843833.75964.24044
1852231.3249-9.32489
1863235.0813-3.08126
1873634.5841.41601
1883933.01135.98866
1892830.8283-2.82829
1903234.014-2.01401
1913234.3797-2.37971
1923837.28220.717775
1933233.424-1.42396
1943535.3386-0.338581
1953233.215-1.21498
1963736.02130.978699
1973432.99621.00378
1983335.942-2.94198
1993333.0792-0.0791572
2002633.6477-7.64769
2013032.2833-2.28326
2022432.5147-8.51474
2033432.80571.19434
2043432.6961.304
2053334.4831-1.48309
2063435.2918-1.29181
2073536.0527-1.05267
2083534.97850.0215499
2093633.28372.7163
2103434.2478-0.247841
2113432.99931.0007
2124138.70882.29116
2133236.4212-4.4212
2143033.4362-3.4362
2153534.50610.493926
2162830.2194-2.21942
2173335.4765-2.47649
2183934.45984.5402
2193633.66142.33861
2203636.6888-0.688761
2213533.65641.34359
2223834.97653.02353
2233333.1206-0.120596
2243133.3315-2.33155
2253433.78570.214293
2263234.6659-2.66589
2273133.334-2.33397
2283334.0319-1.03192
2293432.57721.42284
2303434.2487-0.248711
2313432.38351.61649
2323335.0255-2.02552
2333234.4626-2.46258
2344134.0546.94596
2353433.49750.502462
2363632.33253.66749
2373731.0155.98502
2383630.62355.37649
2392933.1019-4.1019
2403731.90295.09708
2412733.4408-6.44076
2423533.54191.45807
2432830.6349-2.63485
2443533.32881.6712
2453733.20513.79495
2462933.8919-4.89194
2473234.449-2.44896
2483631.87424.12576
2491927.5294-8.52937
2502127.316-6.31596
2513133.7994-2.79943
2523332.7160.28403
2533634.00791.99214
2543333.5608-0.560789
2553733.18923.81078
2563433.52050.479475
2573535.2418-0.241848
2583132.7323-1.73231
2593733.95053.04948
2603531.49273.50725
2612732.5136-5.51357
2623435.6035-1.60349
2634033.82246.17762
2642933.3977-4.39768

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 41 & 35.5544 & 5.44563 \tabularnewline
2 & 39 & 34.0496 & 4.95039 \tabularnewline
3 & 30 & 35.0117 & -5.01173 \tabularnewline
4 & 31 & 33.7918 & -2.79184 \tabularnewline
5 & 34 & 35.2884 & -1.28843 \tabularnewline
6 & 35 & 32.2302 & 2.76976 \tabularnewline
7 & 39 & 32.7764 & 6.22356 \tabularnewline
8 & 34 & 35.4529 & -1.45293 \tabularnewline
9 & 36 & 34.8759 & 1.12406 \tabularnewline
10 & 37 & 36.1975 & 0.802504 \tabularnewline
11 & 38 & 33.553 & 4.44703 \tabularnewline
12 & 36 & 34.6021 & 1.39793 \tabularnewline
13 & 38 & 34.5629 & 3.43709 \tabularnewline
14 & 39 & 35.9326 & 3.06738 \tabularnewline
15 & 33 & 36.4708 & -3.47079 \tabularnewline
16 & 32 & 33.6187 & -1.61871 \tabularnewline
17 & 36 & 33.4787 & 2.52128 \tabularnewline
18 & 38 & 37.2126 & 0.787396 \tabularnewline
19 & 39 & 36.4718 & 2.52817 \tabularnewline
20 & 32 & 33.4205 & -1.42047 \tabularnewline
21 & 32 & 34.2623 & -2.26232 \tabularnewline
22 & 31 & 32.9271 & -1.92705 \tabularnewline
23 & 39 & 36.3269 & 2.67309 \tabularnewline
24 & 37 & 36.2423 & 0.757677 \tabularnewline
25 & 39 & 34.1875 & 4.81252 \tabularnewline
26 & 41 & 33.8591 & 7.14089 \tabularnewline
27 & 36 & 35.1541 & 0.845933 \tabularnewline
28 & 33 & 35.5033 & -2.50327 \tabularnewline
29 & 33 & 34.1323 & -1.13232 \tabularnewline
30 & 34 & 33.5774 & 0.422637 \tabularnewline
31 & 31 & 33.4528 & -2.45284 \tabularnewline
32 & 27 & 32.6475 & -5.64752 \tabularnewline
33 & 37 & 33.1622 & 3.8378 \tabularnewline
34 & 34 & 36.1239 & -2.12391 \tabularnewline
35 & 34 & 32.513 & 1.48697 \tabularnewline
36 & 32 & 33.5865 & -1.58652 \tabularnewline
37 & 29 & 31.7138 & -2.71381 \tabularnewline
38 & 36 & 33.8559 & 2.1441 \tabularnewline
39 & 29 & 33.5008 & -4.50083 \tabularnewline
40 & 35 & 34.0896 & 0.910437 \tabularnewline
41 & 37 & 33.8698 & 3.13025 \tabularnewline
42 & 34 & 33.8686 & 0.131417 \tabularnewline
43 & 38 & 34.1142 & 3.88581 \tabularnewline
44 & 35 & 33.3083 & 1.6917 \tabularnewline
45 & 38 & 31.6923 & 6.3077 \tabularnewline
46 & 37 & 34.0881 & 2.91191 \tabularnewline
47 & 38 & 36.5098 & 1.49015 \tabularnewline
48 & 33 & 34.5352 & -1.53523 \tabularnewline
49 & 36 & 36.2719 & -0.271889 \tabularnewline
50 & 38 & 33.4582 & 4.54182 \tabularnewline
51 & 32 & 36.4394 & -4.43942 \tabularnewline
52 & 32 & 32.3429 & -0.342882 \tabularnewline
53 & 32 & 33.0137 & -1.01369 \tabularnewline
54 & 34 & 35.9111 & -1.91115 \tabularnewline
55 & 32 & 32.5802 & -0.580171 \tabularnewline
56 & 37 & 34.6925 & 2.30748 \tabularnewline
57 & 39 & 34.5869 & 4.41313 \tabularnewline
58 & 29 & 34.619 & -5.61901 \tabularnewline
59 & 37 & 35.2995 & 1.70051 \tabularnewline
60 & 35 & 34.2599 & 0.740146 \tabularnewline
61 & 30 & 30.4452 & -0.445204 \tabularnewline
62 & 38 & 34.5671 & 3.43289 \tabularnewline
63 & 34 & 34.9744 & -0.974449 \tabularnewline
64 & 31 & 34.2595 & -3.25949 \tabularnewline
65 & 34 & 32.8927 & 1.10727 \tabularnewline
66 & 35 & 35.9796 & -0.97959 \tabularnewline
67 & 36 & 34.7404 & 1.25958 \tabularnewline
68 & 30 & 31.6609 & -1.66093 \tabularnewline
69 & 39 & 36.4649 & 2.53511 \tabularnewline
70 & 35 & 35.7177 & -0.717742 \tabularnewline
71 & 38 & 34.5007 & 3.4993 \tabularnewline
72 & 31 & 35.6324 & -4.63242 \tabularnewline
73 & 34 & 37.0974 & -3.09745 \tabularnewline
74 & 38 & 37.9053 & 0.0947431 \tabularnewline
75 & 34 & 31.689 & 2.31099 \tabularnewline
76 & 39 & 32.6237 & 6.37627 \tabularnewline
77 & 37 & 35.8639 & 1.13613 \tabularnewline
78 & 34 & 32.8792 & 1.12076 \tabularnewline
79 & 28 & 32.9149 & -4.91491 \tabularnewline
80 & 37 & 31.2646 & 5.73545 \tabularnewline
81 & 33 & 35.6015 & -2.60154 \tabularnewline
82 & 35 & 35.9949 & -0.994927 \tabularnewline
83 & 37 & 34.0567 & 2.94335 \tabularnewline
84 & 32 & 34.4346 & -2.4346 \tabularnewline
85 & 33 & 33.2524 & -0.252362 \tabularnewline
86 & 38 & 36.4897 & 1.51028 \tabularnewline
87 & 33 & 34.4682 & -1.46819 \tabularnewline
88 & 29 & 33.151 & -4.15096 \tabularnewline
89 & 33 & 33.1585 & -0.158481 \tabularnewline
90 & 31 & 34.9771 & -3.97711 \tabularnewline
91 & 36 & 33.2768 & 2.72318 \tabularnewline
92 & 35 & 37.6471 & -2.64713 \tabularnewline
93 & 32 & 31.81 & 0.189955 \tabularnewline
94 & 29 & 32.4756 & -3.47557 \tabularnewline
95 & 39 & 35.6591 & 3.34095 \tabularnewline
96 & 37 & 34.6295 & 2.37055 \tabularnewline
97 & 35 & 33.3667 & 1.63329 \tabularnewline
98 & 37 & 34.8456 & 2.15436 \tabularnewline
99 & 32 & 35.3462 & -3.34616 \tabularnewline
100 & 38 & 35.6781 & 2.32185 \tabularnewline
101 & 37 & 34.699 & 2.30102 \tabularnewline
102 & 36 & 36.6364 & -0.636382 \tabularnewline
103 & 32 & 31.6055 & 0.394506 \tabularnewline
104 & 33 & 36.6655 & -3.66551 \tabularnewline
105 & 40 & 32.6622 & 7.33775 \tabularnewline
106 & 38 & 35.2799 & 2.72007 \tabularnewline
107 & 41 & 36.5265 & 4.47354 \tabularnewline
108 & 36 & 34.337 & 1.66304 \tabularnewline
109 & 43 & 36.3064 & 6.69365 \tabularnewline
110 & 30 & 34.6894 & -4.68945 \tabularnewline
111 & 31 & 33.8538 & -2.85378 \tabularnewline
112 & 32 & 37.9809 & -5.98089 \tabularnewline
113 & 32 & 32.9709 & -0.97088 \tabularnewline
114 & 37 & 34.2469 & 2.75306 \tabularnewline
115 & 37 & 34.3217 & 2.67831 \tabularnewline
116 & 33 & 36.4716 & -3.47157 \tabularnewline
117 & 34 & 36.746 & -2.746 \tabularnewline
118 & 33 & 34.6715 & -1.67152 \tabularnewline
119 & 38 & 35.5587 & 2.44134 \tabularnewline
120 & 33 & 34.9106 & -1.91057 \tabularnewline
121 & 31 & 31.4446 & -0.444642 \tabularnewline
122 & 38 & 36.7042 & 1.29584 \tabularnewline
123 & 37 & 36.5658 & 0.43422 \tabularnewline
124 & 36 & 33.1941 & 2.80592 \tabularnewline
125 & 31 & 34.2149 & -3.21489 \tabularnewline
126 & 39 & 34.1507 & 4.84927 \tabularnewline
127 & 44 & 37.0756 & 6.92436 \tabularnewline
128 & 33 & 35.671 & -2.67097 \tabularnewline
129 & 35 & 33.5731 & 1.42693 \tabularnewline
130 & 32 & 34.0758 & -2.07584 \tabularnewline
131 & 28 & 32.2014 & -4.20142 \tabularnewline
132 & 40 & 36.0507 & 3.94927 \tabularnewline
133 & 27 & 32.048 & -5.04805 \tabularnewline
134 & 37 & 36.0854 & 0.914642 \tabularnewline
135 & 32 & 32.4264 & -0.426399 \tabularnewline
136 & 28 & 27.9506 & 0.0493943 \tabularnewline
137 & 34 & 34.5765 & -0.576537 \tabularnewline
138 & 30 & 33.6993 & -3.6993 \tabularnewline
139 & 35 & 33.9665 & 1.03354 \tabularnewline
140 & 31 & 34.2342 & -3.23422 \tabularnewline
141 & 32 & 34.3446 & -2.34458 \tabularnewline
142 & 30 & 35.8927 & -5.89273 \tabularnewline
143 & 30 & 35.325 & -5.32499 \tabularnewline
144 & 31 & 29.8573 & 1.14273 \tabularnewline
145 & 40 & 32.883 & 7.117 \tabularnewline
146 & 32 & 31.8736 & 0.126404 \tabularnewline
147 & 36 & 34.6362 & 1.36377 \tabularnewline
148 & 32 & 33.2343 & -1.23431 \tabularnewline
149 & 35 & 32.7492 & 2.25085 \tabularnewline
150 & 38 & 36.2487 & 1.7513 \tabularnewline
151 & 42 & 35.54 & 6.46003 \tabularnewline
152 & 34 & 36.4705 & -2.47052 \tabularnewline
153 & 35 & 36.6174 & -1.61739 \tabularnewline
154 & 38 & 33.6764 & 4.32358 \tabularnewline
155 & 33 & 32.232 & 0.767978 \tabularnewline
156 & 36 & 33.2768 & 2.72318 \tabularnewline
157 & 32 & 35.3 & -3.30003 \tabularnewline
158 & 33 & 35.671 & -2.67097 \tabularnewline
159 & 34 & 33.9633 & 0.0367018 \tabularnewline
160 & 32 & 35.5961 & -3.59614 \tabularnewline
161 & 34 & 34.7275 & -0.727464 \tabularnewline
162 & 27 & 29.8124 & -2.81242 \tabularnewline
163 & 31 & 30.5926 & 0.407361 \tabularnewline
164 & 38 & 34.0769 & 3.92307 \tabularnewline
165 & 34 & 36.1204 & -2.12036 \tabularnewline
166 & 24 & 31.0567 & -7.05673 \tabularnewline
167 & 30 & 33.9374 & -3.93743 \tabularnewline
168 & 26 & 29.8294 & -3.82938 \tabularnewline
169 & 34 & 35.6638 & -1.66382 \tabularnewline
170 & 27 & 35.3525 & -8.35254 \tabularnewline
171 & 37 & 31.9068 & 5.09325 \tabularnewline
172 & 36 & 35.907 & 0.0930143 \tabularnewline
173 & 41 & 34.356 & 6.64402 \tabularnewline
174 & 29 & 29.2116 & -0.211627 \tabularnewline
175 & 36 & 31.4359 & 4.56412 \tabularnewline
176 & 32 & 35.0395 & -3.03954 \tabularnewline
177 & 37 & 33.1173 & 3.88269 \tabularnewline
178 & 30 & 31.8517 & -1.85172 \tabularnewline
179 & 31 & 33.0525 & -2.05255 \tabularnewline
180 & 38 & 35.1407 & 2.85932 \tabularnewline
181 & 36 & 35.1269 & 0.873113 \tabularnewline
182 & 35 & 32.1676 & 2.83241 \tabularnewline
183 & 31 & 35.8227 & -4.8227 \tabularnewline
184 & 38 & 33.7596 & 4.24044 \tabularnewline
185 & 22 & 31.3249 & -9.32489 \tabularnewline
186 & 32 & 35.0813 & -3.08126 \tabularnewline
187 & 36 & 34.584 & 1.41601 \tabularnewline
188 & 39 & 33.0113 & 5.98866 \tabularnewline
189 & 28 & 30.8283 & -2.82829 \tabularnewline
190 & 32 & 34.014 & -2.01401 \tabularnewline
191 & 32 & 34.3797 & -2.37971 \tabularnewline
192 & 38 & 37.2822 & 0.717775 \tabularnewline
193 & 32 & 33.424 & -1.42396 \tabularnewline
194 & 35 & 35.3386 & -0.338581 \tabularnewline
195 & 32 & 33.215 & -1.21498 \tabularnewline
196 & 37 & 36.0213 & 0.978699 \tabularnewline
197 & 34 & 32.9962 & 1.00378 \tabularnewline
198 & 33 & 35.942 & -2.94198 \tabularnewline
199 & 33 & 33.0792 & -0.0791572 \tabularnewline
200 & 26 & 33.6477 & -7.64769 \tabularnewline
201 & 30 & 32.2833 & -2.28326 \tabularnewline
202 & 24 & 32.5147 & -8.51474 \tabularnewline
203 & 34 & 32.8057 & 1.19434 \tabularnewline
204 & 34 & 32.696 & 1.304 \tabularnewline
205 & 33 & 34.4831 & -1.48309 \tabularnewline
206 & 34 & 35.2918 & -1.29181 \tabularnewline
207 & 35 & 36.0527 & -1.05267 \tabularnewline
208 & 35 & 34.9785 & 0.0215499 \tabularnewline
209 & 36 & 33.2837 & 2.7163 \tabularnewline
210 & 34 & 34.2478 & -0.247841 \tabularnewline
211 & 34 & 32.9993 & 1.0007 \tabularnewline
212 & 41 & 38.7088 & 2.29116 \tabularnewline
213 & 32 & 36.4212 & -4.4212 \tabularnewline
214 & 30 & 33.4362 & -3.4362 \tabularnewline
215 & 35 & 34.5061 & 0.493926 \tabularnewline
216 & 28 & 30.2194 & -2.21942 \tabularnewline
217 & 33 & 35.4765 & -2.47649 \tabularnewline
218 & 39 & 34.4598 & 4.5402 \tabularnewline
219 & 36 & 33.6614 & 2.33861 \tabularnewline
220 & 36 & 36.6888 & -0.688761 \tabularnewline
221 & 35 & 33.6564 & 1.34359 \tabularnewline
222 & 38 & 34.9765 & 3.02353 \tabularnewline
223 & 33 & 33.1206 & -0.120596 \tabularnewline
224 & 31 & 33.3315 & -2.33155 \tabularnewline
225 & 34 & 33.7857 & 0.214293 \tabularnewline
226 & 32 & 34.6659 & -2.66589 \tabularnewline
227 & 31 & 33.334 & -2.33397 \tabularnewline
228 & 33 & 34.0319 & -1.03192 \tabularnewline
229 & 34 & 32.5772 & 1.42284 \tabularnewline
230 & 34 & 34.2487 & -0.248711 \tabularnewline
231 & 34 & 32.3835 & 1.61649 \tabularnewline
232 & 33 & 35.0255 & -2.02552 \tabularnewline
233 & 32 & 34.4626 & -2.46258 \tabularnewline
234 & 41 & 34.054 & 6.94596 \tabularnewline
235 & 34 & 33.4975 & 0.502462 \tabularnewline
236 & 36 & 32.3325 & 3.66749 \tabularnewline
237 & 37 & 31.015 & 5.98502 \tabularnewline
238 & 36 & 30.6235 & 5.37649 \tabularnewline
239 & 29 & 33.1019 & -4.1019 \tabularnewline
240 & 37 & 31.9029 & 5.09708 \tabularnewline
241 & 27 & 33.4408 & -6.44076 \tabularnewline
242 & 35 & 33.5419 & 1.45807 \tabularnewline
243 & 28 & 30.6349 & -2.63485 \tabularnewline
244 & 35 & 33.3288 & 1.6712 \tabularnewline
245 & 37 & 33.2051 & 3.79495 \tabularnewline
246 & 29 & 33.8919 & -4.89194 \tabularnewline
247 & 32 & 34.449 & -2.44896 \tabularnewline
248 & 36 & 31.8742 & 4.12576 \tabularnewline
249 & 19 & 27.5294 & -8.52937 \tabularnewline
250 & 21 & 27.316 & -6.31596 \tabularnewline
251 & 31 & 33.7994 & -2.79943 \tabularnewline
252 & 33 & 32.716 & 0.28403 \tabularnewline
253 & 36 & 34.0079 & 1.99214 \tabularnewline
254 & 33 & 33.5608 & -0.560789 \tabularnewline
255 & 37 & 33.1892 & 3.81078 \tabularnewline
256 & 34 & 33.5205 & 0.479475 \tabularnewline
257 & 35 & 35.2418 & -0.241848 \tabularnewline
258 & 31 & 32.7323 & -1.73231 \tabularnewline
259 & 37 & 33.9505 & 3.04948 \tabularnewline
260 & 35 & 31.4927 & 3.50725 \tabularnewline
261 & 27 & 32.5136 & -5.51357 \tabularnewline
262 & 34 & 35.6035 & -1.60349 \tabularnewline
263 & 40 & 33.8224 & 6.17762 \tabularnewline
264 & 29 & 33.3977 & -4.39768 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253387&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]41[/C][C]35.5544[/C][C]5.44563[/C][/ROW]
[ROW][C]2[/C][C]39[/C][C]34.0496[/C][C]4.95039[/C][/ROW]
[ROW][C]3[/C][C]30[/C][C]35.0117[/C][C]-5.01173[/C][/ROW]
[ROW][C]4[/C][C]31[/C][C]33.7918[/C][C]-2.79184[/C][/ROW]
[ROW][C]5[/C][C]34[/C][C]35.2884[/C][C]-1.28843[/C][/ROW]
[ROW][C]6[/C][C]35[/C][C]32.2302[/C][C]2.76976[/C][/ROW]
[ROW][C]7[/C][C]39[/C][C]32.7764[/C][C]6.22356[/C][/ROW]
[ROW][C]8[/C][C]34[/C][C]35.4529[/C][C]-1.45293[/C][/ROW]
[ROW][C]9[/C][C]36[/C][C]34.8759[/C][C]1.12406[/C][/ROW]
[ROW][C]10[/C][C]37[/C][C]36.1975[/C][C]0.802504[/C][/ROW]
[ROW][C]11[/C][C]38[/C][C]33.553[/C][C]4.44703[/C][/ROW]
[ROW][C]12[/C][C]36[/C][C]34.6021[/C][C]1.39793[/C][/ROW]
[ROW][C]13[/C][C]38[/C][C]34.5629[/C][C]3.43709[/C][/ROW]
[ROW][C]14[/C][C]39[/C][C]35.9326[/C][C]3.06738[/C][/ROW]
[ROW][C]15[/C][C]33[/C][C]36.4708[/C][C]-3.47079[/C][/ROW]
[ROW][C]16[/C][C]32[/C][C]33.6187[/C][C]-1.61871[/C][/ROW]
[ROW][C]17[/C][C]36[/C][C]33.4787[/C][C]2.52128[/C][/ROW]
[ROW][C]18[/C][C]38[/C][C]37.2126[/C][C]0.787396[/C][/ROW]
[ROW][C]19[/C][C]39[/C][C]36.4718[/C][C]2.52817[/C][/ROW]
[ROW][C]20[/C][C]32[/C][C]33.4205[/C][C]-1.42047[/C][/ROW]
[ROW][C]21[/C][C]32[/C][C]34.2623[/C][C]-2.26232[/C][/ROW]
[ROW][C]22[/C][C]31[/C][C]32.9271[/C][C]-1.92705[/C][/ROW]
[ROW][C]23[/C][C]39[/C][C]36.3269[/C][C]2.67309[/C][/ROW]
[ROW][C]24[/C][C]37[/C][C]36.2423[/C][C]0.757677[/C][/ROW]
[ROW][C]25[/C][C]39[/C][C]34.1875[/C][C]4.81252[/C][/ROW]
[ROW][C]26[/C][C]41[/C][C]33.8591[/C][C]7.14089[/C][/ROW]
[ROW][C]27[/C][C]36[/C][C]35.1541[/C][C]0.845933[/C][/ROW]
[ROW][C]28[/C][C]33[/C][C]35.5033[/C][C]-2.50327[/C][/ROW]
[ROW][C]29[/C][C]33[/C][C]34.1323[/C][C]-1.13232[/C][/ROW]
[ROW][C]30[/C][C]34[/C][C]33.5774[/C][C]0.422637[/C][/ROW]
[ROW][C]31[/C][C]31[/C][C]33.4528[/C][C]-2.45284[/C][/ROW]
[ROW][C]32[/C][C]27[/C][C]32.6475[/C][C]-5.64752[/C][/ROW]
[ROW][C]33[/C][C]37[/C][C]33.1622[/C][C]3.8378[/C][/ROW]
[ROW][C]34[/C][C]34[/C][C]36.1239[/C][C]-2.12391[/C][/ROW]
[ROW][C]35[/C][C]34[/C][C]32.513[/C][C]1.48697[/C][/ROW]
[ROW][C]36[/C][C]32[/C][C]33.5865[/C][C]-1.58652[/C][/ROW]
[ROW][C]37[/C][C]29[/C][C]31.7138[/C][C]-2.71381[/C][/ROW]
[ROW][C]38[/C][C]36[/C][C]33.8559[/C][C]2.1441[/C][/ROW]
[ROW][C]39[/C][C]29[/C][C]33.5008[/C][C]-4.50083[/C][/ROW]
[ROW][C]40[/C][C]35[/C][C]34.0896[/C][C]0.910437[/C][/ROW]
[ROW][C]41[/C][C]37[/C][C]33.8698[/C][C]3.13025[/C][/ROW]
[ROW][C]42[/C][C]34[/C][C]33.8686[/C][C]0.131417[/C][/ROW]
[ROW][C]43[/C][C]38[/C][C]34.1142[/C][C]3.88581[/C][/ROW]
[ROW][C]44[/C][C]35[/C][C]33.3083[/C][C]1.6917[/C][/ROW]
[ROW][C]45[/C][C]38[/C][C]31.6923[/C][C]6.3077[/C][/ROW]
[ROW][C]46[/C][C]37[/C][C]34.0881[/C][C]2.91191[/C][/ROW]
[ROW][C]47[/C][C]38[/C][C]36.5098[/C][C]1.49015[/C][/ROW]
[ROW][C]48[/C][C]33[/C][C]34.5352[/C][C]-1.53523[/C][/ROW]
[ROW][C]49[/C][C]36[/C][C]36.2719[/C][C]-0.271889[/C][/ROW]
[ROW][C]50[/C][C]38[/C][C]33.4582[/C][C]4.54182[/C][/ROW]
[ROW][C]51[/C][C]32[/C][C]36.4394[/C][C]-4.43942[/C][/ROW]
[ROW][C]52[/C][C]32[/C][C]32.3429[/C][C]-0.342882[/C][/ROW]
[ROW][C]53[/C][C]32[/C][C]33.0137[/C][C]-1.01369[/C][/ROW]
[ROW][C]54[/C][C]34[/C][C]35.9111[/C][C]-1.91115[/C][/ROW]
[ROW][C]55[/C][C]32[/C][C]32.5802[/C][C]-0.580171[/C][/ROW]
[ROW][C]56[/C][C]37[/C][C]34.6925[/C][C]2.30748[/C][/ROW]
[ROW][C]57[/C][C]39[/C][C]34.5869[/C][C]4.41313[/C][/ROW]
[ROW][C]58[/C][C]29[/C][C]34.619[/C][C]-5.61901[/C][/ROW]
[ROW][C]59[/C][C]37[/C][C]35.2995[/C][C]1.70051[/C][/ROW]
[ROW][C]60[/C][C]35[/C][C]34.2599[/C][C]0.740146[/C][/ROW]
[ROW][C]61[/C][C]30[/C][C]30.4452[/C][C]-0.445204[/C][/ROW]
[ROW][C]62[/C][C]38[/C][C]34.5671[/C][C]3.43289[/C][/ROW]
[ROW][C]63[/C][C]34[/C][C]34.9744[/C][C]-0.974449[/C][/ROW]
[ROW][C]64[/C][C]31[/C][C]34.2595[/C][C]-3.25949[/C][/ROW]
[ROW][C]65[/C][C]34[/C][C]32.8927[/C][C]1.10727[/C][/ROW]
[ROW][C]66[/C][C]35[/C][C]35.9796[/C][C]-0.97959[/C][/ROW]
[ROW][C]67[/C][C]36[/C][C]34.7404[/C][C]1.25958[/C][/ROW]
[ROW][C]68[/C][C]30[/C][C]31.6609[/C][C]-1.66093[/C][/ROW]
[ROW][C]69[/C][C]39[/C][C]36.4649[/C][C]2.53511[/C][/ROW]
[ROW][C]70[/C][C]35[/C][C]35.7177[/C][C]-0.717742[/C][/ROW]
[ROW][C]71[/C][C]38[/C][C]34.5007[/C][C]3.4993[/C][/ROW]
[ROW][C]72[/C][C]31[/C][C]35.6324[/C][C]-4.63242[/C][/ROW]
[ROW][C]73[/C][C]34[/C][C]37.0974[/C][C]-3.09745[/C][/ROW]
[ROW][C]74[/C][C]38[/C][C]37.9053[/C][C]0.0947431[/C][/ROW]
[ROW][C]75[/C][C]34[/C][C]31.689[/C][C]2.31099[/C][/ROW]
[ROW][C]76[/C][C]39[/C][C]32.6237[/C][C]6.37627[/C][/ROW]
[ROW][C]77[/C][C]37[/C][C]35.8639[/C][C]1.13613[/C][/ROW]
[ROW][C]78[/C][C]34[/C][C]32.8792[/C][C]1.12076[/C][/ROW]
[ROW][C]79[/C][C]28[/C][C]32.9149[/C][C]-4.91491[/C][/ROW]
[ROW][C]80[/C][C]37[/C][C]31.2646[/C][C]5.73545[/C][/ROW]
[ROW][C]81[/C][C]33[/C][C]35.6015[/C][C]-2.60154[/C][/ROW]
[ROW][C]82[/C][C]35[/C][C]35.9949[/C][C]-0.994927[/C][/ROW]
[ROW][C]83[/C][C]37[/C][C]34.0567[/C][C]2.94335[/C][/ROW]
[ROW][C]84[/C][C]32[/C][C]34.4346[/C][C]-2.4346[/C][/ROW]
[ROW][C]85[/C][C]33[/C][C]33.2524[/C][C]-0.252362[/C][/ROW]
[ROW][C]86[/C][C]38[/C][C]36.4897[/C][C]1.51028[/C][/ROW]
[ROW][C]87[/C][C]33[/C][C]34.4682[/C][C]-1.46819[/C][/ROW]
[ROW][C]88[/C][C]29[/C][C]33.151[/C][C]-4.15096[/C][/ROW]
[ROW][C]89[/C][C]33[/C][C]33.1585[/C][C]-0.158481[/C][/ROW]
[ROW][C]90[/C][C]31[/C][C]34.9771[/C][C]-3.97711[/C][/ROW]
[ROW][C]91[/C][C]36[/C][C]33.2768[/C][C]2.72318[/C][/ROW]
[ROW][C]92[/C][C]35[/C][C]37.6471[/C][C]-2.64713[/C][/ROW]
[ROW][C]93[/C][C]32[/C][C]31.81[/C][C]0.189955[/C][/ROW]
[ROW][C]94[/C][C]29[/C][C]32.4756[/C][C]-3.47557[/C][/ROW]
[ROW][C]95[/C][C]39[/C][C]35.6591[/C][C]3.34095[/C][/ROW]
[ROW][C]96[/C][C]37[/C][C]34.6295[/C][C]2.37055[/C][/ROW]
[ROW][C]97[/C][C]35[/C][C]33.3667[/C][C]1.63329[/C][/ROW]
[ROW][C]98[/C][C]37[/C][C]34.8456[/C][C]2.15436[/C][/ROW]
[ROW][C]99[/C][C]32[/C][C]35.3462[/C][C]-3.34616[/C][/ROW]
[ROW][C]100[/C][C]38[/C][C]35.6781[/C][C]2.32185[/C][/ROW]
[ROW][C]101[/C][C]37[/C][C]34.699[/C][C]2.30102[/C][/ROW]
[ROW][C]102[/C][C]36[/C][C]36.6364[/C][C]-0.636382[/C][/ROW]
[ROW][C]103[/C][C]32[/C][C]31.6055[/C][C]0.394506[/C][/ROW]
[ROW][C]104[/C][C]33[/C][C]36.6655[/C][C]-3.66551[/C][/ROW]
[ROW][C]105[/C][C]40[/C][C]32.6622[/C][C]7.33775[/C][/ROW]
[ROW][C]106[/C][C]38[/C][C]35.2799[/C][C]2.72007[/C][/ROW]
[ROW][C]107[/C][C]41[/C][C]36.5265[/C][C]4.47354[/C][/ROW]
[ROW][C]108[/C][C]36[/C][C]34.337[/C][C]1.66304[/C][/ROW]
[ROW][C]109[/C][C]43[/C][C]36.3064[/C][C]6.69365[/C][/ROW]
[ROW][C]110[/C][C]30[/C][C]34.6894[/C][C]-4.68945[/C][/ROW]
[ROW][C]111[/C][C]31[/C][C]33.8538[/C][C]-2.85378[/C][/ROW]
[ROW][C]112[/C][C]32[/C][C]37.9809[/C][C]-5.98089[/C][/ROW]
[ROW][C]113[/C][C]32[/C][C]32.9709[/C][C]-0.97088[/C][/ROW]
[ROW][C]114[/C][C]37[/C][C]34.2469[/C][C]2.75306[/C][/ROW]
[ROW][C]115[/C][C]37[/C][C]34.3217[/C][C]2.67831[/C][/ROW]
[ROW][C]116[/C][C]33[/C][C]36.4716[/C][C]-3.47157[/C][/ROW]
[ROW][C]117[/C][C]34[/C][C]36.746[/C][C]-2.746[/C][/ROW]
[ROW][C]118[/C][C]33[/C][C]34.6715[/C][C]-1.67152[/C][/ROW]
[ROW][C]119[/C][C]38[/C][C]35.5587[/C][C]2.44134[/C][/ROW]
[ROW][C]120[/C][C]33[/C][C]34.9106[/C][C]-1.91057[/C][/ROW]
[ROW][C]121[/C][C]31[/C][C]31.4446[/C][C]-0.444642[/C][/ROW]
[ROW][C]122[/C][C]38[/C][C]36.7042[/C][C]1.29584[/C][/ROW]
[ROW][C]123[/C][C]37[/C][C]36.5658[/C][C]0.43422[/C][/ROW]
[ROW][C]124[/C][C]36[/C][C]33.1941[/C][C]2.80592[/C][/ROW]
[ROW][C]125[/C][C]31[/C][C]34.2149[/C][C]-3.21489[/C][/ROW]
[ROW][C]126[/C][C]39[/C][C]34.1507[/C][C]4.84927[/C][/ROW]
[ROW][C]127[/C][C]44[/C][C]37.0756[/C][C]6.92436[/C][/ROW]
[ROW][C]128[/C][C]33[/C][C]35.671[/C][C]-2.67097[/C][/ROW]
[ROW][C]129[/C][C]35[/C][C]33.5731[/C][C]1.42693[/C][/ROW]
[ROW][C]130[/C][C]32[/C][C]34.0758[/C][C]-2.07584[/C][/ROW]
[ROW][C]131[/C][C]28[/C][C]32.2014[/C][C]-4.20142[/C][/ROW]
[ROW][C]132[/C][C]40[/C][C]36.0507[/C][C]3.94927[/C][/ROW]
[ROW][C]133[/C][C]27[/C][C]32.048[/C][C]-5.04805[/C][/ROW]
[ROW][C]134[/C][C]37[/C][C]36.0854[/C][C]0.914642[/C][/ROW]
[ROW][C]135[/C][C]32[/C][C]32.4264[/C][C]-0.426399[/C][/ROW]
[ROW][C]136[/C][C]28[/C][C]27.9506[/C][C]0.0493943[/C][/ROW]
[ROW][C]137[/C][C]34[/C][C]34.5765[/C][C]-0.576537[/C][/ROW]
[ROW][C]138[/C][C]30[/C][C]33.6993[/C][C]-3.6993[/C][/ROW]
[ROW][C]139[/C][C]35[/C][C]33.9665[/C][C]1.03354[/C][/ROW]
[ROW][C]140[/C][C]31[/C][C]34.2342[/C][C]-3.23422[/C][/ROW]
[ROW][C]141[/C][C]32[/C][C]34.3446[/C][C]-2.34458[/C][/ROW]
[ROW][C]142[/C][C]30[/C][C]35.8927[/C][C]-5.89273[/C][/ROW]
[ROW][C]143[/C][C]30[/C][C]35.325[/C][C]-5.32499[/C][/ROW]
[ROW][C]144[/C][C]31[/C][C]29.8573[/C][C]1.14273[/C][/ROW]
[ROW][C]145[/C][C]40[/C][C]32.883[/C][C]7.117[/C][/ROW]
[ROW][C]146[/C][C]32[/C][C]31.8736[/C][C]0.126404[/C][/ROW]
[ROW][C]147[/C][C]36[/C][C]34.6362[/C][C]1.36377[/C][/ROW]
[ROW][C]148[/C][C]32[/C][C]33.2343[/C][C]-1.23431[/C][/ROW]
[ROW][C]149[/C][C]35[/C][C]32.7492[/C][C]2.25085[/C][/ROW]
[ROW][C]150[/C][C]38[/C][C]36.2487[/C][C]1.7513[/C][/ROW]
[ROW][C]151[/C][C]42[/C][C]35.54[/C][C]6.46003[/C][/ROW]
[ROW][C]152[/C][C]34[/C][C]36.4705[/C][C]-2.47052[/C][/ROW]
[ROW][C]153[/C][C]35[/C][C]36.6174[/C][C]-1.61739[/C][/ROW]
[ROW][C]154[/C][C]38[/C][C]33.6764[/C][C]4.32358[/C][/ROW]
[ROW][C]155[/C][C]33[/C][C]32.232[/C][C]0.767978[/C][/ROW]
[ROW][C]156[/C][C]36[/C][C]33.2768[/C][C]2.72318[/C][/ROW]
[ROW][C]157[/C][C]32[/C][C]35.3[/C][C]-3.30003[/C][/ROW]
[ROW][C]158[/C][C]33[/C][C]35.671[/C][C]-2.67097[/C][/ROW]
[ROW][C]159[/C][C]34[/C][C]33.9633[/C][C]0.0367018[/C][/ROW]
[ROW][C]160[/C][C]32[/C][C]35.5961[/C][C]-3.59614[/C][/ROW]
[ROW][C]161[/C][C]34[/C][C]34.7275[/C][C]-0.727464[/C][/ROW]
[ROW][C]162[/C][C]27[/C][C]29.8124[/C][C]-2.81242[/C][/ROW]
[ROW][C]163[/C][C]31[/C][C]30.5926[/C][C]0.407361[/C][/ROW]
[ROW][C]164[/C][C]38[/C][C]34.0769[/C][C]3.92307[/C][/ROW]
[ROW][C]165[/C][C]34[/C][C]36.1204[/C][C]-2.12036[/C][/ROW]
[ROW][C]166[/C][C]24[/C][C]31.0567[/C][C]-7.05673[/C][/ROW]
[ROW][C]167[/C][C]30[/C][C]33.9374[/C][C]-3.93743[/C][/ROW]
[ROW][C]168[/C][C]26[/C][C]29.8294[/C][C]-3.82938[/C][/ROW]
[ROW][C]169[/C][C]34[/C][C]35.6638[/C][C]-1.66382[/C][/ROW]
[ROW][C]170[/C][C]27[/C][C]35.3525[/C][C]-8.35254[/C][/ROW]
[ROW][C]171[/C][C]37[/C][C]31.9068[/C][C]5.09325[/C][/ROW]
[ROW][C]172[/C][C]36[/C][C]35.907[/C][C]0.0930143[/C][/ROW]
[ROW][C]173[/C][C]41[/C][C]34.356[/C][C]6.64402[/C][/ROW]
[ROW][C]174[/C][C]29[/C][C]29.2116[/C][C]-0.211627[/C][/ROW]
[ROW][C]175[/C][C]36[/C][C]31.4359[/C][C]4.56412[/C][/ROW]
[ROW][C]176[/C][C]32[/C][C]35.0395[/C][C]-3.03954[/C][/ROW]
[ROW][C]177[/C][C]37[/C][C]33.1173[/C][C]3.88269[/C][/ROW]
[ROW][C]178[/C][C]30[/C][C]31.8517[/C][C]-1.85172[/C][/ROW]
[ROW][C]179[/C][C]31[/C][C]33.0525[/C][C]-2.05255[/C][/ROW]
[ROW][C]180[/C][C]38[/C][C]35.1407[/C][C]2.85932[/C][/ROW]
[ROW][C]181[/C][C]36[/C][C]35.1269[/C][C]0.873113[/C][/ROW]
[ROW][C]182[/C][C]35[/C][C]32.1676[/C][C]2.83241[/C][/ROW]
[ROW][C]183[/C][C]31[/C][C]35.8227[/C][C]-4.8227[/C][/ROW]
[ROW][C]184[/C][C]38[/C][C]33.7596[/C][C]4.24044[/C][/ROW]
[ROW][C]185[/C][C]22[/C][C]31.3249[/C][C]-9.32489[/C][/ROW]
[ROW][C]186[/C][C]32[/C][C]35.0813[/C][C]-3.08126[/C][/ROW]
[ROW][C]187[/C][C]36[/C][C]34.584[/C][C]1.41601[/C][/ROW]
[ROW][C]188[/C][C]39[/C][C]33.0113[/C][C]5.98866[/C][/ROW]
[ROW][C]189[/C][C]28[/C][C]30.8283[/C][C]-2.82829[/C][/ROW]
[ROW][C]190[/C][C]32[/C][C]34.014[/C][C]-2.01401[/C][/ROW]
[ROW][C]191[/C][C]32[/C][C]34.3797[/C][C]-2.37971[/C][/ROW]
[ROW][C]192[/C][C]38[/C][C]37.2822[/C][C]0.717775[/C][/ROW]
[ROW][C]193[/C][C]32[/C][C]33.424[/C][C]-1.42396[/C][/ROW]
[ROW][C]194[/C][C]35[/C][C]35.3386[/C][C]-0.338581[/C][/ROW]
[ROW][C]195[/C][C]32[/C][C]33.215[/C][C]-1.21498[/C][/ROW]
[ROW][C]196[/C][C]37[/C][C]36.0213[/C][C]0.978699[/C][/ROW]
[ROW][C]197[/C][C]34[/C][C]32.9962[/C][C]1.00378[/C][/ROW]
[ROW][C]198[/C][C]33[/C][C]35.942[/C][C]-2.94198[/C][/ROW]
[ROW][C]199[/C][C]33[/C][C]33.0792[/C][C]-0.0791572[/C][/ROW]
[ROW][C]200[/C][C]26[/C][C]33.6477[/C][C]-7.64769[/C][/ROW]
[ROW][C]201[/C][C]30[/C][C]32.2833[/C][C]-2.28326[/C][/ROW]
[ROW][C]202[/C][C]24[/C][C]32.5147[/C][C]-8.51474[/C][/ROW]
[ROW][C]203[/C][C]34[/C][C]32.8057[/C][C]1.19434[/C][/ROW]
[ROW][C]204[/C][C]34[/C][C]32.696[/C][C]1.304[/C][/ROW]
[ROW][C]205[/C][C]33[/C][C]34.4831[/C][C]-1.48309[/C][/ROW]
[ROW][C]206[/C][C]34[/C][C]35.2918[/C][C]-1.29181[/C][/ROW]
[ROW][C]207[/C][C]35[/C][C]36.0527[/C][C]-1.05267[/C][/ROW]
[ROW][C]208[/C][C]35[/C][C]34.9785[/C][C]0.0215499[/C][/ROW]
[ROW][C]209[/C][C]36[/C][C]33.2837[/C][C]2.7163[/C][/ROW]
[ROW][C]210[/C][C]34[/C][C]34.2478[/C][C]-0.247841[/C][/ROW]
[ROW][C]211[/C][C]34[/C][C]32.9993[/C][C]1.0007[/C][/ROW]
[ROW][C]212[/C][C]41[/C][C]38.7088[/C][C]2.29116[/C][/ROW]
[ROW][C]213[/C][C]32[/C][C]36.4212[/C][C]-4.4212[/C][/ROW]
[ROW][C]214[/C][C]30[/C][C]33.4362[/C][C]-3.4362[/C][/ROW]
[ROW][C]215[/C][C]35[/C][C]34.5061[/C][C]0.493926[/C][/ROW]
[ROW][C]216[/C][C]28[/C][C]30.2194[/C][C]-2.21942[/C][/ROW]
[ROW][C]217[/C][C]33[/C][C]35.4765[/C][C]-2.47649[/C][/ROW]
[ROW][C]218[/C][C]39[/C][C]34.4598[/C][C]4.5402[/C][/ROW]
[ROW][C]219[/C][C]36[/C][C]33.6614[/C][C]2.33861[/C][/ROW]
[ROW][C]220[/C][C]36[/C][C]36.6888[/C][C]-0.688761[/C][/ROW]
[ROW][C]221[/C][C]35[/C][C]33.6564[/C][C]1.34359[/C][/ROW]
[ROW][C]222[/C][C]38[/C][C]34.9765[/C][C]3.02353[/C][/ROW]
[ROW][C]223[/C][C]33[/C][C]33.1206[/C][C]-0.120596[/C][/ROW]
[ROW][C]224[/C][C]31[/C][C]33.3315[/C][C]-2.33155[/C][/ROW]
[ROW][C]225[/C][C]34[/C][C]33.7857[/C][C]0.214293[/C][/ROW]
[ROW][C]226[/C][C]32[/C][C]34.6659[/C][C]-2.66589[/C][/ROW]
[ROW][C]227[/C][C]31[/C][C]33.334[/C][C]-2.33397[/C][/ROW]
[ROW][C]228[/C][C]33[/C][C]34.0319[/C][C]-1.03192[/C][/ROW]
[ROW][C]229[/C][C]34[/C][C]32.5772[/C][C]1.42284[/C][/ROW]
[ROW][C]230[/C][C]34[/C][C]34.2487[/C][C]-0.248711[/C][/ROW]
[ROW][C]231[/C][C]34[/C][C]32.3835[/C][C]1.61649[/C][/ROW]
[ROW][C]232[/C][C]33[/C][C]35.0255[/C][C]-2.02552[/C][/ROW]
[ROW][C]233[/C][C]32[/C][C]34.4626[/C][C]-2.46258[/C][/ROW]
[ROW][C]234[/C][C]41[/C][C]34.054[/C][C]6.94596[/C][/ROW]
[ROW][C]235[/C][C]34[/C][C]33.4975[/C][C]0.502462[/C][/ROW]
[ROW][C]236[/C][C]36[/C][C]32.3325[/C][C]3.66749[/C][/ROW]
[ROW][C]237[/C][C]37[/C][C]31.015[/C][C]5.98502[/C][/ROW]
[ROW][C]238[/C][C]36[/C][C]30.6235[/C][C]5.37649[/C][/ROW]
[ROW][C]239[/C][C]29[/C][C]33.1019[/C][C]-4.1019[/C][/ROW]
[ROW][C]240[/C][C]37[/C][C]31.9029[/C][C]5.09708[/C][/ROW]
[ROW][C]241[/C][C]27[/C][C]33.4408[/C][C]-6.44076[/C][/ROW]
[ROW][C]242[/C][C]35[/C][C]33.5419[/C][C]1.45807[/C][/ROW]
[ROW][C]243[/C][C]28[/C][C]30.6349[/C][C]-2.63485[/C][/ROW]
[ROW][C]244[/C][C]35[/C][C]33.3288[/C][C]1.6712[/C][/ROW]
[ROW][C]245[/C][C]37[/C][C]33.2051[/C][C]3.79495[/C][/ROW]
[ROW][C]246[/C][C]29[/C][C]33.8919[/C][C]-4.89194[/C][/ROW]
[ROW][C]247[/C][C]32[/C][C]34.449[/C][C]-2.44896[/C][/ROW]
[ROW][C]248[/C][C]36[/C][C]31.8742[/C][C]4.12576[/C][/ROW]
[ROW][C]249[/C][C]19[/C][C]27.5294[/C][C]-8.52937[/C][/ROW]
[ROW][C]250[/C][C]21[/C][C]27.316[/C][C]-6.31596[/C][/ROW]
[ROW][C]251[/C][C]31[/C][C]33.7994[/C][C]-2.79943[/C][/ROW]
[ROW][C]252[/C][C]33[/C][C]32.716[/C][C]0.28403[/C][/ROW]
[ROW][C]253[/C][C]36[/C][C]34.0079[/C][C]1.99214[/C][/ROW]
[ROW][C]254[/C][C]33[/C][C]33.5608[/C][C]-0.560789[/C][/ROW]
[ROW][C]255[/C][C]37[/C][C]33.1892[/C][C]3.81078[/C][/ROW]
[ROW][C]256[/C][C]34[/C][C]33.5205[/C][C]0.479475[/C][/ROW]
[ROW][C]257[/C][C]35[/C][C]35.2418[/C][C]-0.241848[/C][/ROW]
[ROW][C]258[/C][C]31[/C][C]32.7323[/C][C]-1.73231[/C][/ROW]
[ROW][C]259[/C][C]37[/C][C]33.9505[/C][C]3.04948[/C][/ROW]
[ROW][C]260[/C][C]35[/C][C]31.4927[/C][C]3.50725[/C][/ROW]
[ROW][C]261[/C][C]27[/C][C]32.5136[/C][C]-5.51357[/C][/ROW]
[ROW][C]262[/C][C]34[/C][C]35.6035[/C][C]-1.60349[/C][/ROW]
[ROW][C]263[/C][C]40[/C][C]33.8224[/C][C]6.17762[/C][/ROW]
[ROW][C]264[/C][C]29[/C][C]33.3977[/C][C]-4.39768[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253387&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253387&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
14135.55445.44563
23934.04964.95039
33035.0117-5.01173
43133.7918-2.79184
53435.2884-1.28843
63532.23022.76976
73932.77646.22356
83435.4529-1.45293
93634.87591.12406
103736.19750.802504
113833.5534.44703
123634.60211.39793
133834.56293.43709
143935.93263.06738
153336.4708-3.47079
163233.6187-1.61871
173633.47872.52128
183837.21260.787396
193936.47182.52817
203233.4205-1.42047
213234.2623-2.26232
223132.9271-1.92705
233936.32692.67309
243736.24230.757677
253934.18754.81252
264133.85917.14089
273635.15410.845933
283335.5033-2.50327
293334.1323-1.13232
303433.57740.422637
313133.4528-2.45284
322732.6475-5.64752
333733.16223.8378
343436.1239-2.12391
353432.5131.48697
363233.5865-1.58652
372931.7138-2.71381
383633.85592.1441
392933.5008-4.50083
403534.08960.910437
413733.86983.13025
423433.86860.131417
433834.11423.88581
443533.30831.6917
453831.69236.3077
463734.08812.91191
473836.50981.49015
483334.5352-1.53523
493636.2719-0.271889
503833.45824.54182
513236.4394-4.43942
523232.3429-0.342882
533233.0137-1.01369
543435.9111-1.91115
553232.5802-0.580171
563734.69252.30748
573934.58694.41313
582934.619-5.61901
593735.29951.70051
603534.25990.740146
613030.4452-0.445204
623834.56713.43289
633434.9744-0.974449
643134.2595-3.25949
653432.89271.10727
663535.9796-0.97959
673634.74041.25958
683031.6609-1.66093
693936.46492.53511
703535.7177-0.717742
713834.50073.4993
723135.6324-4.63242
733437.0974-3.09745
743837.90530.0947431
753431.6892.31099
763932.62376.37627
773735.86391.13613
783432.87921.12076
792832.9149-4.91491
803731.26465.73545
813335.6015-2.60154
823535.9949-0.994927
833734.05672.94335
843234.4346-2.4346
853333.2524-0.252362
863836.48971.51028
873334.4682-1.46819
882933.151-4.15096
893333.1585-0.158481
903134.9771-3.97711
913633.27682.72318
923537.6471-2.64713
933231.810.189955
942932.4756-3.47557
953935.65913.34095
963734.62952.37055
973533.36671.63329
983734.84562.15436
993235.3462-3.34616
1003835.67812.32185
1013734.6992.30102
1023636.6364-0.636382
1033231.60550.394506
1043336.6655-3.66551
1054032.66227.33775
1063835.27992.72007
1074136.52654.47354
1083634.3371.66304
1094336.30646.69365
1103034.6894-4.68945
1113133.8538-2.85378
1123237.9809-5.98089
1133232.9709-0.97088
1143734.24692.75306
1153734.32172.67831
1163336.4716-3.47157
1173436.746-2.746
1183334.6715-1.67152
1193835.55872.44134
1203334.9106-1.91057
1213131.4446-0.444642
1223836.70421.29584
1233736.56580.43422
1243633.19412.80592
1253134.2149-3.21489
1263934.15074.84927
1274437.07566.92436
1283335.671-2.67097
1293533.57311.42693
1303234.0758-2.07584
1312832.2014-4.20142
1324036.05073.94927
1332732.048-5.04805
1343736.08540.914642
1353232.4264-0.426399
1362827.95060.0493943
1373434.5765-0.576537
1383033.6993-3.6993
1393533.96651.03354
1403134.2342-3.23422
1413234.3446-2.34458
1423035.8927-5.89273
1433035.325-5.32499
1443129.85731.14273
1454032.8837.117
1463231.87360.126404
1473634.63621.36377
1483233.2343-1.23431
1493532.74922.25085
1503836.24871.7513
1514235.546.46003
1523436.4705-2.47052
1533536.6174-1.61739
1543833.67644.32358
1553332.2320.767978
1563633.27682.72318
1573235.3-3.30003
1583335.671-2.67097
1593433.96330.0367018
1603235.5961-3.59614
1613434.7275-0.727464
1622729.8124-2.81242
1633130.59260.407361
1643834.07693.92307
1653436.1204-2.12036
1662431.0567-7.05673
1673033.9374-3.93743
1682629.8294-3.82938
1693435.6638-1.66382
1702735.3525-8.35254
1713731.90685.09325
1723635.9070.0930143
1734134.3566.64402
1742929.2116-0.211627
1753631.43594.56412
1763235.0395-3.03954
1773733.11733.88269
1783031.8517-1.85172
1793133.0525-2.05255
1803835.14072.85932
1813635.12690.873113
1823532.16762.83241
1833135.8227-4.8227
1843833.75964.24044
1852231.3249-9.32489
1863235.0813-3.08126
1873634.5841.41601
1883933.01135.98866
1892830.8283-2.82829
1903234.014-2.01401
1913234.3797-2.37971
1923837.28220.717775
1933233.424-1.42396
1943535.3386-0.338581
1953233.215-1.21498
1963736.02130.978699
1973432.99621.00378
1983335.942-2.94198
1993333.0792-0.0791572
2002633.6477-7.64769
2013032.2833-2.28326
2022432.5147-8.51474
2033432.80571.19434
2043432.6961.304
2053334.4831-1.48309
2063435.2918-1.29181
2073536.0527-1.05267
2083534.97850.0215499
2093633.28372.7163
2103434.2478-0.247841
2113432.99931.0007
2124138.70882.29116
2133236.4212-4.4212
2143033.4362-3.4362
2153534.50610.493926
2162830.2194-2.21942
2173335.4765-2.47649
2183934.45984.5402
2193633.66142.33861
2203636.6888-0.688761
2213533.65641.34359
2223834.97653.02353
2233333.1206-0.120596
2243133.3315-2.33155
2253433.78570.214293
2263234.6659-2.66589
2273133.334-2.33397
2283334.0319-1.03192
2293432.57721.42284
2303434.2487-0.248711
2313432.38351.61649
2323335.0255-2.02552
2333234.4626-2.46258
2344134.0546.94596
2353433.49750.502462
2363632.33253.66749
2373731.0155.98502
2383630.62355.37649
2392933.1019-4.1019
2403731.90295.09708
2412733.4408-6.44076
2423533.54191.45807
2432830.6349-2.63485
2443533.32881.6712
2453733.20513.79495
2462933.8919-4.89194
2473234.449-2.44896
2483631.87424.12576
2491927.5294-8.52937
2502127.316-6.31596
2513133.7994-2.79943
2523332.7160.28403
2533634.00791.99214
2543333.5608-0.560789
2553733.18923.81078
2563433.52050.479475
2573535.2418-0.241848
2583132.7323-1.73231
2593733.95053.04948
2603531.49273.50725
2612732.5136-5.51357
2623435.6035-1.60349
2634033.82246.17762
2642933.3977-4.39768






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.1583730.3167460.841627
100.0674280.1348560.932572
110.02642920.05285850.973571
120.6579060.6841870.342094
130.7254340.5491310.274566
140.6386950.722610.361305
150.566820.866360.43318
160.6456690.7086620.354331
170.5695960.8608090.430404
180.5439180.9121650.456082
190.5096250.9807510.490375
200.5588160.8823690.441184
210.5848220.8303560.415178
220.5399620.9200760.460038
230.4906180.9812370.509382
240.4197320.8394630.580268
250.4604760.9209520.539524
260.6598150.680370.340185
270.5990610.8018790.400939
280.5814890.8370220.418511
290.5456720.9086560.454328
300.4864690.9729390.513531
310.5001290.9997420.499871
320.6087450.7825090.391255
330.6001720.7996560.399828
340.5702780.8594440.429722
350.5178290.9643430.482171
360.465450.9309010.53455
370.4191020.8382040.580898
380.3834750.766950.616525
390.4881360.9762710.511864
400.4361320.8722640.563868
410.4067220.8134440.593278
420.357110.714220.64289
430.3233980.6467960.676602
440.2862450.572490.713755
450.3507570.7015140.649243
460.3641520.7283030.635848
470.3287520.6575040.671248
480.3025680.6051360.697432
490.2614730.5229470.738527
500.2768640.5537280.723136
510.3146560.6293110.685344
520.281520.563040.71848
530.2453630.4907260.754637
540.2214840.4429680.778516
550.1891460.3782910.810854
560.1786120.3572250.821388
570.1919630.3839250.808037
580.2943120.5886250.705688
590.2653130.5306260.734687
600.2307670.4615340.769233
610.202850.4056990.79715
620.195310.390620.80469
630.1722730.3445460.827727
640.1713880.3427770.828612
650.1467880.2935770.853212
660.1272250.2544510.872775
670.1075540.2151070.892446
680.1150620.2301230.884938
690.1149450.229890.885055
700.09712460.1942490.902875
710.1032680.2065360.896732
720.1207660.2415330.879234
730.1182180.2364360.881782
740.09916780.1983360.900832
750.08560350.1712070.914397
760.121710.2434190.87829
770.1044370.2088740.895563
780.08820160.1764030.911798
790.1209520.2419040.879048
800.1416260.2832520.858374
810.1348010.2696010.865199
820.1164420.2328830.883558
830.109520.219040.89048
840.1038670.2077330.896133
850.0895510.1791020.910449
860.08083820.1616760.919162
870.07153750.1430750.928463
880.08673910.1734780.913261
890.07245840.1449170.927542
900.07582550.1516510.924175
910.06938350.1387670.930616
920.06192840.1238570.938072
930.05216620.1043320.947834
940.05613630.1122730.943864
950.05680890.1136180.943191
960.05186480.103730.948135
970.04418320.08836640.955817
980.03892970.07785940.96107
990.03848620.07697230.961514
1000.03472980.06945960.96527
1010.03129690.06259390.968703
1020.02609460.05218920.973905
1030.02171540.04343070.978285
1040.0216980.04339590.978302
1050.04971340.09942680.950287
1060.04668110.09336220.953319
1070.05777130.1155430.942229
1080.05037440.1007490.949626
1090.09098160.1819630.909018
1100.1083180.2166350.891682
1110.1072040.2144080.892796
1120.1370650.274130.862935
1130.1245290.2490580.875471
1140.1196810.2393620.880319
1150.1141260.2282530.885874
1160.1135460.2270930.886454
1170.1053960.2107920.894604
1180.09249460.1849890.907505
1190.08672310.1734460.913277
1200.07727390.1545480.922726
1210.06855970.1371190.93144
1220.06127310.1225460.938727
1230.05172960.1034590.94827
1240.04905740.09811480.950943
1250.04844570.09689150.951554
1260.06110780.1222160.938892
1270.1141650.228330.885835
1280.1072230.2144460.892777
1290.09430490.188610.905695
1300.08562060.1712410.914379
1310.09640630.1928130.903594
1320.1071750.214350.892825
1330.1321350.2642710.867865
1340.1162330.2324660.883767
1350.1012660.2025330.898734
1360.08816860.1763370.911831
1370.07523470.1504690.924765
1380.07775370.1555070.922246
1390.06706740.1341350.932933
1400.06532150.1306430.934678
1410.05988450.1197690.940116
1420.08223580.1644720.917764
1430.1010480.2020950.898952
1440.09354140.1870830.906459
1450.1635890.3271780.836411
1460.1515830.3031670.848417
1470.1348550.2697110.865145
1480.119070.2381390.88093
1490.1103420.2206840.889658
1500.09908530.1981710.900915
1510.1521630.3043250.847837
1520.1400880.2801750.859912
1530.1241570.2483150.875843
1540.1375440.2750880.862456
1550.1194160.2388310.880584
1560.1188910.2377830.881109
1570.1188730.2377450.881127
1580.1102620.2205250.889738
1590.09637060.1927410.903629
1600.10160.20320.8984
1610.08730930.1746190.912691
1620.0827650.165530.917235
1630.0718650.143730.928135
1640.08627340.1725470.913727
1650.07794830.1558970.922052
1660.1417640.2835290.858236
1670.1433510.2867010.856649
1680.1421280.2842570.857872
1690.1284940.2569870.871506
1700.2503310.5006620.749669
1710.2889050.5778090.711095
1720.2588220.5176430.741178
1730.3504750.700950.649525
1740.3163940.6327890.683606
1750.3702120.7404240.629788
1760.3558750.7117510.644125
1770.3654050.7308090.634595
1780.3376960.6753920.662304
1790.3108730.6217470.689127
1800.2963360.5926720.703664
1810.2684520.5369040.731548
1820.2674740.5349480.732526
1830.2792140.5584270.720786
1840.3313820.6627640.668618
1850.5823390.8353220.417661
1860.5749030.8501950.425097
1870.5585840.8828320.441416
1880.663880.6722390.33612
1890.6468940.7062130.353106
1900.6530910.6938170.346909
1910.6376060.7247880.362394
1920.6030750.793850.396925
1930.5729790.8540430.427021
1940.5324360.9351290.467564
1950.4941840.9883680.505816
1960.4591760.9183520.540824
1970.4361490.8722970.563851
1980.4146120.8292240.585388
1990.374270.7485410.62573
2000.4806660.9613310.519334
2010.4453010.8906020.554699
2020.6214580.7570830.378542
2030.585410.829180.41459
2040.547910.9041810.45209
2050.5073450.985310.492655
2060.4680480.9360960.531952
2070.425530.8510610.57447
2080.3824020.7648040.617598
2090.361360.722720.63864
2100.3218250.643650.678175
2110.2845420.5690830.715458
2120.2537030.5074070.746297
2130.3039330.6078660.696067
2140.2877890.5755780.712211
2150.2500630.5001270.749937
2160.2184790.4369570.781521
2170.1965870.3931730.803413
2180.2241760.4483530.775824
2190.195770.3915390.80423
2200.1701470.3402950.829853
2210.1482070.2964140.851793
2220.1417980.2835970.858202
2230.1158150.2316310.884185
2240.09760320.1952060.902397
2250.07818420.1563680.921816
2260.08765590.1753120.912344
2270.07530590.1506120.924694
2280.05875220.1175040.941248
2290.0453370.0906740.954663
2300.03427930.06855870.965721
2310.02862430.05724870.971376
2320.03301660.06603330.966983
2330.02604590.05209170.973954
2340.1216010.2432010.878399
2350.0971370.1942740.902863
2360.09742280.1948460.902577
2370.09873220.1974640.901268
2380.2275960.4551920.772404
2390.1888690.3777380.811131
2400.2896440.5792890.710356
2410.3871530.7743060.612847
2420.323920.647840.67608
2430.2682590.5365190.731741
2440.2301970.4603950.769803
2450.4617490.9234980.538251
2460.7038840.5922320.296116
2470.667080.6658410.33292
2480.642570.714860.35743
2490.6833490.6333030.316651
2500.6282450.7435090.371755
2510.6291450.7417110.370855
2520.6490380.7019250.350962
2530.7532970.4934070.246703
2540.9340790.1318420.0659212
2550.859240.281520.14076

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
9 & 0.158373 & 0.316746 & 0.841627 \tabularnewline
10 & 0.067428 & 0.134856 & 0.932572 \tabularnewline
11 & 0.0264292 & 0.0528585 & 0.973571 \tabularnewline
12 & 0.657906 & 0.684187 & 0.342094 \tabularnewline
13 & 0.725434 & 0.549131 & 0.274566 \tabularnewline
14 & 0.638695 & 0.72261 & 0.361305 \tabularnewline
15 & 0.56682 & 0.86636 & 0.43318 \tabularnewline
16 & 0.645669 & 0.708662 & 0.354331 \tabularnewline
17 & 0.569596 & 0.860809 & 0.430404 \tabularnewline
18 & 0.543918 & 0.912165 & 0.456082 \tabularnewline
19 & 0.509625 & 0.980751 & 0.490375 \tabularnewline
20 & 0.558816 & 0.882369 & 0.441184 \tabularnewline
21 & 0.584822 & 0.830356 & 0.415178 \tabularnewline
22 & 0.539962 & 0.920076 & 0.460038 \tabularnewline
23 & 0.490618 & 0.981237 & 0.509382 \tabularnewline
24 & 0.419732 & 0.839463 & 0.580268 \tabularnewline
25 & 0.460476 & 0.920952 & 0.539524 \tabularnewline
26 & 0.659815 & 0.68037 & 0.340185 \tabularnewline
27 & 0.599061 & 0.801879 & 0.400939 \tabularnewline
28 & 0.581489 & 0.837022 & 0.418511 \tabularnewline
29 & 0.545672 & 0.908656 & 0.454328 \tabularnewline
30 & 0.486469 & 0.972939 & 0.513531 \tabularnewline
31 & 0.500129 & 0.999742 & 0.499871 \tabularnewline
32 & 0.608745 & 0.782509 & 0.391255 \tabularnewline
33 & 0.600172 & 0.799656 & 0.399828 \tabularnewline
34 & 0.570278 & 0.859444 & 0.429722 \tabularnewline
35 & 0.517829 & 0.964343 & 0.482171 \tabularnewline
36 & 0.46545 & 0.930901 & 0.53455 \tabularnewline
37 & 0.419102 & 0.838204 & 0.580898 \tabularnewline
38 & 0.383475 & 0.76695 & 0.616525 \tabularnewline
39 & 0.488136 & 0.976271 & 0.511864 \tabularnewline
40 & 0.436132 & 0.872264 & 0.563868 \tabularnewline
41 & 0.406722 & 0.813444 & 0.593278 \tabularnewline
42 & 0.35711 & 0.71422 & 0.64289 \tabularnewline
43 & 0.323398 & 0.646796 & 0.676602 \tabularnewline
44 & 0.286245 & 0.57249 & 0.713755 \tabularnewline
45 & 0.350757 & 0.701514 & 0.649243 \tabularnewline
46 & 0.364152 & 0.728303 & 0.635848 \tabularnewline
47 & 0.328752 & 0.657504 & 0.671248 \tabularnewline
48 & 0.302568 & 0.605136 & 0.697432 \tabularnewline
49 & 0.261473 & 0.522947 & 0.738527 \tabularnewline
50 & 0.276864 & 0.553728 & 0.723136 \tabularnewline
51 & 0.314656 & 0.629311 & 0.685344 \tabularnewline
52 & 0.28152 & 0.56304 & 0.71848 \tabularnewline
53 & 0.245363 & 0.490726 & 0.754637 \tabularnewline
54 & 0.221484 & 0.442968 & 0.778516 \tabularnewline
55 & 0.189146 & 0.378291 & 0.810854 \tabularnewline
56 & 0.178612 & 0.357225 & 0.821388 \tabularnewline
57 & 0.191963 & 0.383925 & 0.808037 \tabularnewline
58 & 0.294312 & 0.588625 & 0.705688 \tabularnewline
59 & 0.265313 & 0.530626 & 0.734687 \tabularnewline
60 & 0.230767 & 0.461534 & 0.769233 \tabularnewline
61 & 0.20285 & 0.405699 & 0.79715 \tabularnewline
62 & 0.19531 & 0.39062 & 0.80469 \tabularnewline
63 & 0.172273 & 0.344546 & 0.827727 \tabularnewline
64 & 0.171388 & 0.342777 & 0.828612 \tabularnewline
65 & 0.146788 & 0.293577 & 0.853212 \tabularnewline
66 & 0.127225 & 0.254451 & 0.872775 \tabularnewline
67 & 0.107554 & 0.215107 & 0.892446 \tabularnewline
68 & 0.115062 & 0.230123 & 0.884938 \tabularnewline
69 & 0.114945 & 0.22989 & 0.885055 \tabularnewline
70 & 0.0971246 & 0.194249 & 0.902875 \tabularnewline
71 & 0.103268 & 0.206536 & 0.896732 \tabularnewline
72 & 0.120766 & 0.241533 & 0.879234 \tabularnewline
73 & 0.118218 & 0.236436 & 0.881782 \tabularnewline
74 & 0.0991678 & 0.198336 & 0.900832 \tabularnewline
75 & 0.0856035 & 0.171207 & 0.914397 \tabularnewline
76 & 0.12171 & 0.243419 & 0.87829 \tabularnewline
77 & 0.104437 & 0.208874 & 0.895563 \tabularnewline
78 & 0.0882016 & 0.176403 & 0.911798 \tabularnewline
79 & 0.120952 & 0.241904 & 0.879048 \tabularnewline
80 & 0.141626 & 0.283252 & 0.858374 \tabularnewline
81 & 0.134801 & 0.269601 & 0.865199 \tabularnewline
82 & 0.116442 & 0.232883 & 0.883558 \tabularnewline
83 & 0.10952 & 0.21904 & 0.89048 \tabularnewline
84 & 0.103867 & 0.207733 & 0.896133 \tabularnewline
85 & 0.089551 & 0.179102 & 0.910449 \tabularnewline
86 & 0.0808382 & 0.161676 & 0.919162 \tabularnewline
87 & 0.0715375 & 0.143075 & 0.928463 \tabularnewline
88 & 0.0867391 & 0.173478 & 0.913261 \tabularnewline
89 & 0.0724584 & 0.144917 & 0.927542 \tabularnewline
90 & 0.0758255 & 0.151651 & 0.924175 \tabularnewline
91 & 0.0693835 & 0.138767 & 0.930616 \tabularnewline
92 & 0.0619284 & 0.123857 & 0.938072 \tabularnewline
93 & 0.0521662 & 0.104332 & 0.947834 \tabularnewline
94 & 0.0561363 & 0.112273 & 0.943864 \tabularnewline
95 & 0.0568089 & 0.113618 & 0.943191 \tabularnewline
96 & 0.0518648 & 0.10373 & 0.948135 \tabularnewline
97 & 0.0441832 & 0.0883664 & 0.955817 \tabularnewline
98 & 0.0389297 & 0.0778594 & 0.96107 \tabularnewline
99 & 0.0384862 & 0.0769723 & 0.961514 \tabularnewline
100 & 0.0347298 & 0.0694596 & 0.96527 \tabularnewline
101 & 0.0312969 & 0.0625939 & 0.968703 \tabularnewline
102 & 0.0260946 & 0.0521892 & 0.973905 \tabularnewline
103 & 0.0217154 & 0.0434307 & 0.978285 \tabularnewline
104 & 0.021698 & 0.0433959 & 0.978302 \tabularnewline
105 & 0.0497134 & 0.0994268 & 0.950287 \tabularnewline
106 & 0.0466811 & 0.0933622 & 0.953319 \tabularnewline
107 & 0.0577713 & 0.115543 & 0.942229 \tabularnewline
108 & 0.0503744 & 0.100749 & 0.949626 \tabularnewline
109 & 0.0909816 & 0.181963 & 0.909018 \tabularnewline
110 & 0.108318 & 0.216635 & 0.891682 \tabularnewline
111 & 0.107204 & 0.214408 & 0.892796 \tabularnewline
112 & 0.137065 & 0.27413 & 0.862935 \tabularnewline
113 & 0.124529 & 0.249058 & 0.875471 \tabularnewline
114 & 0.119681 & 0.239362 & 0.880319 \tabularnewline
115 & 0.114126 & 0.228253 & 0.885874 \tabularnewline
116 & 0.113546 & 0.227093 & 0.886454 \tabularnewline
117 & 0.105396 & 0.210792 & 0.894604 \tabularnewline
118 & 0.0924946 & 0.184989 & 0.907505 \tabularnewline
119 & 0.0867231 & 0.173446 & 0.913277 \tabularnewline
120 & 0.0772739 & 0.154548 & 0.922726 \tabularnewline
121 & 0.0685597 & 0.137119 & 0.93144 \tabularnewline
122 & 0.0612731 & 0.122546 & 0.938727 \tabularnewline
123 & 0.0517296 & 0.103459 & 0.94827 \tabularnewline
124 & 0.0490574 & 0.0981148 & 0.950943 \tabularnewline
125 & 0.0484457 & 0.0968915 & 0.951554 \tabularnewline
126 & 0.0611078 & 0.122216 & 0.938892 \tabularnewline
127 & 0.114165 & 0.22833 & 0.885835 \tabularnewline
128 & 0.107223 & 0.214446 & 0.892777 \tabularnewline
129 & 0.0943049 & 0.18861 & 0.905695 \tabularnewline
130 & 0.0856206 & 0.171241 & 0.914379 \tabularnewline
131 & 0.0964063 & 0.192813 & 0.903594 \tabularnewline
132 & 0.107175 & 0.21435 & 0.892825 \tabularnewline
133 & 0.132135 & 0.264271 & 0.867865 \tabularnewline
134 & 0.116233 & 0.232466 & 0.883767 \tabularnewline
135 & 0.101266 & 0.202533 & 0.898734 \tabularnewline
136 & 0.0881686 & 0.176337 & 0.911831 \tabularnewline
137 & 0.0752347 & 0.150469 & 0.924765 \tabularnewline
138 & 0.0777537 & 0.155507 & 0.922246 \tabularnewline
139 & 0.0670674 & 0.134135 & 0.932933 \tabularnewline
140 & 0.0653215 & 0.130643 & 0.934678 \tabularnewline
141 & 0.0598845 & 0.119769 & 0.940116 \tabularnewline
142 & 0.0822358 & 0.164472 & 0.917764 \tabularnewline
143 & 0.101048 & 0.202095 & 0.898952 \tabularnewline
144 & 0.0935414 & 0.187083 & 0.906459 \tabularnewline
145 & 0.163589 & 0.327178 & 0.836411 \tabularnewline
146 & 0.151583 & 0.303167 & 0.848417 \tabularnewline
147 & 0.134855 & 0.269711 & 0.865145 \tabularnewline
148 & 0.11907 & 0.238139 & 0.88093 \tabularnewline
149 & 0.110342 & 0.220684 & 0.889658 \tabularnewline
150 & 0.0990853 & 0.198171 & 0.900915 \tabularnewline
151 & 0.152163 & 0.304325 & 0.847837 \tabularnewline
152 & 0.140088 & 0.280175 & 0.859912 \tabularnewline
153 & 0.124157 & 0.248315 & 0.875843 \tabularnewline
154 & 0.137544 & 0.275088 & 0.862456 \tabularnewline
155 & 0.119416 & 0.238831 & 0.880584 \tabularnewline
156 & 0.118891 & 0.237783 & 0.881109 \tabularnewline
157 & 0.118873 & 0.237745 & 0.881127 \tabularnewline
158 & 0.110262 & 0.220525 & 0.889738 \tabularnewline
159 & 0.0963706 & 0.192741 & 0.903629 \tabularnewline
160 & 0.1016 & 0.2032 & 0.8984 \tabularnewline
161 & 0.0873093 & 0.174619 & 0.912691 \tabularnewline
162 & 0.082765 & 0.16553 & 0.917235 \tabularnewline
163 & 0.071865 & 0.14373 & 0.928135 \tabularnewline
164 & 0.0862734 & 0.172547 & 0.913727 \tabularnewline
165 & 0.0779483 & 0.155897 & 0.922052 \tabularnewline
166 & 0.141764 & 0.283529 & 0.858236 \tabularnewline
167 & 0.143351 & 0.286701 & 0.856649 \tabularnewline
168 & 0.142128 & 0.284257 & 0.857872 \tabularnewline
169 & 0.128494 & 0.256987 & 0.871506 \tabularnewline
170 & 0.250331 & 0.500662 & 0.749669 \tabularnewline
171 & 0.288905 & 0.577809 & 0.711095 \tabularnewline
172 & 0.258822 & 0.517643 & 0.741178 \tabularnewline
173 & 0.350475 & 0.70095 & 0.649525 \tabularnewline
174 & 0.316394 & 0.632789 & 0.683606 \tabularnewline
175 & 0.370212 & 0.740424 & 0.629788 \tabularnewline
176 & 0.355875 & 0.711751 & 0.644125 \tabularnewline
177 & 0.365405 & 0.730809 & 0.634595 \tabularnewline
178 & 0.337696 & 0.675392 & 0.662304 \tabularnewline
179 & 0.310873 & 0.621747 & 0.689127 \tabularnewline
180 & 0.296336 & 0.592672 & 0.703664 \tabularnewline
181 & 0.268452 & 0.536904 & 0.731548 \tabularnewline
182 & 0.267474 & 0.534948 & 0.732526 \tabularnewline
183 & 0.279214 & 0.558427 & 0.720786 \tabularnewline
184 & 0.331382 & 0.662764 & 0.668618 \tabularnewline
185 & 0.582339 & 0.835322 & 0.417661 \tabularnewline
186 & 0.574903 & 0.850195 & 0.425097 \tabularnewline
187 & 0.558584 & 0.882832 & 0.441416 \tabularnewline
188 & 0.66388 & 0.672239 & 0.33612 \tabularnewline
189 & 0.646894 & 0.706213 & 0.353106 \tabularnewline
190 & 0.653091 & 0.693817 & 0.346909 \tabularnewline
191 & 0.637606 & 0.724788 & 0.362394 \tabularnewline
192 & 0.603075 & 0.79385 & 0.396925 \tabularnewline
193 & 0.572979 & 0.854043 & 0.427021 \tabularnewline
194 & 0.532436 & 0.935129 & 0.467564 \tabularnewline
195 & 0.494184 & 0.988368 & 0.505816 \tabularnewline
196 & 0.459176 & 0.918352 & 0.540824 \tabularnewline
197 & 0.436149 & 0.872297 & 0.563851 \tabularnewline
198 & 0.414612 & 0.829224 & 0.585388 \tabularnewline
199 & 0.37427 & 0.748541 & 0.62573 \tabularnewline
200 & 0.480666 & 0.961331 & 0.519334 \tabularnewline
201 & 0.445301 & 0.890602 & 0.554699 \tabularnewline
202 & 0.621458 & 0.757083 & 0.378542 \tabularnewline
203 & 0.58541 & 0.82918 & 0.41459 \tabularnewline
204 & 0.54791 & 0.904181 & 0.45209 \tabularnewline
205 & 0.507345 & 0.98531 & 0.492655 \tabularnewline
206 & 0.468048 & 0.936096 & 0.531952 \tabularnewline
207 & 0.42553 & 0.851061 & 0.57447 \tabularnewline
208 & 0.382402 & 0.764804 & 0.617598 \tabularnewline
209 & 0.36136 & 0.72272 & 0.63864 \tabularnewline
210 & 0.321825 & 0.64365 & 0.678175 \tabularnewline
211 & 0.284542 & 0.569083 & 0.715458 \tabularnewline
212 & 0.253703 & 0.507407 & 0.746297 \tabularnewline
213 & 0.303933 & 0.607866 & 0.696067 \tabularnewline
214 & 0.287789 & 0.575578 & 0.712211 \tabularnewline
215 & 0.250063 & 0.500127 & 0.749937 \tabularnewline
216 & 0.218479 & 0.436957 & 0.781521 \tabularnewline
217 & 0.196587 & 0.393173 & 0.803413 \tabularnewline
218 & 0.224176 & 0.448353 & 0.775824 \tabularnewline
219 & 0.19577 & 0.391539 & 0.80423 \tabularnewline
220 & 0.170147 & 0.340295 & 0.829853 \tabularnewline
221 & 0.148207 & 0.296414 & 0.851793 \tabularnewline
222 & 0.141798 & 0.283597 & 0.858202 \tabularnewline
223 & 0.115815 & 0.231631 & 0.884185 \tabularnewline
224 & 0.0976032 & 0.195206 & 0.902397 \tabularnewline
225 & 0.0781842 & 0.156368 & 0.921816 \tabularnewline
226 & 0.0876559 & 0.175312 & 0.912344 \tabularnewline
227 & 0.0753059 & 0.150612 & 0.924694 \tabularnewline
228 & 0.0587522 & 0.117504 & 0.941248 \tabularnewline
229 & 0.045337 & 0.090674 & 0.954663 \tabularnewline
230 & 0.0342793 & 0.0685587 & 0.965721 \tabularnewline
231 & 0.0286243 & 0.0572487 & 0.971376 \tabularnewline
232 & 0.0330166 & 0.0660333 & 0.966983 \tabularnewline
233 & 0.0260459 & 0.0520917 & 0.973954 \tabularnewline
234 & 0.121601 & 0.243201 & 0.878399 \tabularnewline
235 & 0.097137 & 0.194274 & 0.902863 \tabularnewline
236 & 0.0974228 & 0.194846 & 0.902577 \tabularnewline
237 & 0.0987322 & 0.197464 & 0.901268 \tabularnewline
238 & 0.227596 & 0.455192 & 0.772404 \tabularnewline
239 & 0.188869 & 0.377738 & 0.811131 \tabularnewline
240 & 0.289644 & 0.579289 & 0.710356 \tabularnewline
241 & 0.387153 & 0.774306 & 0.612847 \tabularnewline
242 & 0.32392 & 0.64784 & 0.67608 \tabularnewline
243 & 0.268259 & 0.536519 & 0.731741 \tabularnewline
244 & 0.230197 & 0.460395 & 0.769803 \tabularnewline
245 & 0.461749 & 0.923498 & 0.538251 \tabularnewline
246 & 0.703884 & 0.592232 & 0.296116 \tabularnewline
247 & 0.66708 & 0.665841 & 0.33292 \tabularnewline
248 & 0.64257 & 0.71486 & 0.35743 \tabularnewline
249 & 0.683349 & 0.633303 & 0.316651 \tabularnewline
250 & 0.628245 & 0.743509 & 0.371755 \tabularnewline
251 & 0.629145 & 0.741711 & 0.370855 \tabularnewline
252 & 0.649038 & 0.701925 & 0.350962 \tabularnewline
253 & 0.753297 & 0.493407 & 0.246703 \tabularnewline
254 & 0.934079 & 0.131842 & 0.0659212 \tabularnewline
255 & 0.85924 & 0.28152 & 0.14076 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253387&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]9[/C][C]0.158373[/C][C]0.316746[/C][C]0.841627[/C][/ROW]
[ROW][C]10[/C][C]0.067428[/C][C]0.134856[/C][C]0.932572[/C][/ROW]
[ROW][C]11[/C][C]0.0264292[/C][C]0.0528585[/C][C]0.973571[/C][/ROW]
[ROW][C]12[/C][C]0.657906[/C][C]0.684187[/C][C]0.342094[/C][/ROW]
[ROW][C]13[/C][C]0.725434[/C][C]0.549131[/C][C]0.274566[/C][/ROW]
[ROW][C]14[/C][C]0.638695[/C][C]0.72261[/C][C]0.361305[/C][/ROW]
[ROW][C]15[/C][C]0.56682[/C][C]0.86636[/C][C]0.43318[/C][/ROW]
[ROW][C]16[/C][C]0.645669[/C][C]0.708662[/C][C]0.354331[/C][/ROW]
[ROW][C]17[/C][C]0.569596[/C][C]0.860809[/C][C]0.430404[/C][/ROW]
[ROW][C]18[/C][C]0.543918[/C][C]0.912165[/C][C]0.456082[/C][/ROW]
[ROW][C]19[/C][C]0.509625[/C][C]0.980751[/C][C]0.490375[/C][/ROW]
[ROW][C]20[/C][C]0.558816[/C][C]0.882369[/C][C]0.441184[/C][/ROW]
[ROW][C]21[/C][C]0.584822[/C][C]0.830356[/C][C]0.415178[/C][/ROW]
[ROW][C]22[/C][C]0.539962[/C][C]0.920076[/C][C]0.460038[/C][/ROW]
[ROW][C]23[/C][C]0.490618[/C][C]0.981237[/C][C]0.509382[/C][/ROW]
[ROW][C]24[/C][C]0.419732[/C][C]0.839463[/C][C]0.580268[/C][/ROW]
[ROW][C]25[/C][C]0.460476[/C][C]0.920952[/C][C]0.539524[/C][/ROW]
[ROW][C]26[/C][C]0.659815[/C][C]0.68037[/C][C]0.340185[/C][/ROW]
[ROW][C]27[/C][C]0.599061[/C][C]0.801879[/C][C]0.400939[/C][/ROW]
[ROW][C]28[/C][C]0.581489[/C][C]0.837022[/C][C]0.418511[/C][/ROW]
[ROW][C]29[/C][C]0.545672[/C][C]0.908656[/C][C]0.454328[/C][/ROW]
[ROW][C]30[/C][C]0.486469[/C][C]0.972939[/C][C]0.513531[/C][/ROW]
[ROW][C]31[/C][C]0.500129[/C][C]0.999742[/C][C]0.499871[/C][/ROW]
[ROW][C]32[/C][C]0.608745[/C][C]0.782509[/C][C]0.391255[/C][/ROW]
[ROW][C]33[/C][C]0.600172[/C][C]0.799656[/C][C]0.399828[/C][/ROW]
[ROW][C]34[/C][C]0.570278[/C][C]0.859444[/C][C]0.429722[/C][/ROW]
[ROW][C]35[/C][C]0.517829[/C][C]0.964343[/C][C]0.482171[/C][/ROW]
[ROW][C]36[/C][C]0.46545[/C][C]0.930901[/C][C]0.53455[/C][/ROW]
[ROW][C]37[/C][C]0.419102[/C][C]0.838204[/C][C]0.580898[/C][/ROW]
[ROW][C]38[/C][C]0.383475[/C][C]0.76695[/C][C]0.616525[/C][/ROW]
[ROW][C]39[/C][C]0.488136[/C][C]0.976271[/C][C]0.511864[/C][/ROW]
[ROW][C]40[/C][C]0.436132[/C][C]0.872264[/C][C]0.563868[/C][/ROW]
[ROW][C]41[/C][C]0.406722[/C][C]0.813444[/C][C]0.593278[/C][/ROW]
[ROW][C]42[/C][C]0.35711[/C][C]0.71422[/C][C]0.64289[/C][/ROW]
[ROW][C]43[/C][C]0.323398[/C][C]0.646796[/C][C]0.676602[/C][/ROW]
[ROW][C]44[/C][C]0.286245[/C][C]0.57249[/C][C]0.713755[/C][/ROW]
[ROW][C]45[/C][C]0.350757[/C][C]0.701514[/C][C]0.649243[/C][/ROW]
[ROW][C]46[/C][C]0.364152[/C][C]0.728303[/C][C]0.635848[/C][/ROW]
[ROW][C]47[/C][C]0.328752[/C][C]0.657504[/C][C]0.671248[/C][/ROW]
[ROW][C]48[/C][C]0.302568[/C][C]0.605136[/C][C]0.697432[/C][/ROW]
[ROW][C]49[/C][C]0.261473[/C][C]0.522947[/C][C]0.738527[/C][/ROW]
[ROW][C]50[/C][C]0.276864[/C][C]0.553728[/C][C]0.723136[/C][/ROW]
[ROW][C]51[/C][C]0.314656[/C][C]0.629311[/C][C]0.685344[/C][/ROW]
[ROW][C]52[/C][C]0.28152[/C][C]0.56304[/C][C]0.71848[/C][/ROW]
[ROW][C]53[/C][C]0.245363[/C][C]0.490726[/C][C]0.754637[/C][/ROW]
[ROW][C]54[/C][C]0.221484[/C][C]0.442968[/C][C]0.778516[/C][/ROW]
[ROW][C]55[/C][C]0.189146[/C][C]0.378291[/C][C]0.810854[/C][/ROW]
[ROW][C]56[/C][C]0.178612[/C][C]0.357225[/C][C]0.821388[/C][/ROW]
[ROW][C]57[/C][C]0.191963[/C][C]0.383925[/C][C]0.808037[/C][/ROW]
[ROW][C]58[/C][C]0.294312[/C][C]0.588625[/C][C]0.705688[/C][/ROW]
[ROW][C]59[/C][C]0.265313[/C][C]0.530626[/C][C]0.734687[/C][/ROW]
[ROW][C]60[/C][C]0.230767[/C][C]0.461534[/C][C]0.769233[/C][/ROW]
[ROW][C]61[/C][C]0.20285[/C][C]0.405699[/C][C]0.79715[/C][/ROW]
[ROW][C]62[/C][C]0.19531[/C][C]0.39062[/C][C]0.80469[/C][/ROW]
[ROW][C]63[/C][C]0.172273[/C][C]0.344546[/C][C]0.827727[/C][/ROW]
[ROW][C]64[/C][C]0.171388[/C][C]0.342777[/C][C]0.828612[/C][/ROW]
[ROW][C]65[/C][C]0.146788[/C][C]0.293577[/C][C]0.853212[/C][/ROW]
[ROW][C]66[/C][C]0.127225[/C][C]0.254451[/C][C]0.872775[/C][/ROW]
[ROW][C]67[/C][C]0.107554[/C][C]0.215107[/C][C]0.892446[/C][/ROW]
[ROW][C]68[/C][C]0.115062[/C][C]0.230123[/C][C]0.884938[/C][/ROW]
[ROW][C]69[/C][C]0.114945[/C][C]0.22989[/C][C]0.885055[/C][/ROW]
[ROW][C]70[/C][C]0.0971246[/C][C]0.194249[/C][C]0.902875[/C][/ROW]
[ROW][C]71[/C][C]0.103268[/C][C]0.206536[/C][C]0.896732[/C][/ROW]
[ROW][C]72[/C][C]0.120766[/C][C]0.241533[/C][C]0.879234[/C][/ROW]
[ROW][C]73[/C][C]0.118218[/C][C]0.236436[/C][C]0.881782[/C][/ROW]
[ROW][C]74[/C][C]0.0991678[/C][C]0.198336[/C][C]0.900832[/C][/ROW]
[ROW][C]75[/C][C]0.0856035[/C][C]0.171207[/C][C]0.914397[/C][/ROW]
[ROW][C]76[/C][C]0.12171[/C][C]0.243419[/C][C]0.87829[/C][/ROW]
[ROW][C]77[/C][C]0.104437[/C][C]0.208874[/C][C]0.895563[/C][/ROW]
[ROW][C]78[/C][C]0.0882016[/C][C]0.176403[/C][C]0.911798[/C][/ROW]
[ROW][C]79[/C][C]0.120952[/C][C]0.241904[/C][C]0.879048[/C][/ROW]
[ROW][C]80[/C][C]0.141626[/C][C]0.283252[/C][C]0.858374[/C][/ROW]
[ROW][C]81[/C][C]0.134801[/C][C]0.269601[/C][C]0.865199[/C][/ROW]
[ROW][C]82[/C][C]0.116442[/C][C]0.232883[/C][C]0.883558[/C][/ROW]
[ROW][C]83[/C][C]0.10952[/C][C]0.21904[/C][C]0.89048[/C][/ROW]
[ROW][C]84[/C][C]0.103867[/C][C]0.207733[/C][C]0.896133[/C][/ROW]
[ROW][C]85[/C][C]0.089551[/C][C]0.179102[/C][C]0.910449[/C][/ROW]
[ROW][C]86[/C][C]0.0808382[/C][C]0.161676[/C][C]0.919162[/C][/ROW]
[ROW][C]87[/C][C]0.0715375[/C][C]0.143075[/C][C]0.928463[/C][/ROW]
[ROW][C]88[/C][C]0.0867391[/C][C]0.173478[/C][C]0.913261[/C][/ROW]
[ROW][C]89[/C][C]0.0724584[/C][C]0.144917[/C][C]0.927542[/C][/ROW]
[ROW][C]90[/C][C]0.0758255[/C][C]0.151651[/C][C]0.924175[/C][/ROW]
[ROW][C]91[/C][C]0.0693835[/C][C]0.138767[/C][C]0.930616[/C][/ROW]
[ROW][C]92[/C][C]0.0619284[/C][C]0.123857[/C][C]0.938072[/C][/ROW]
[ROW][C]93[/C][C]0.0521662[/C][C]0.104332[/C][C]0.947834[/C][/ROW]
[ROW][C]94[/C][C]0.0561363[/C][C]0.112273[/C][C]0.943864[/C][/ROW]
[ROW][C]95[/C][C]0.0568089[/C][C]0.113618[/C][C]0.943191[/C][/ROW]
[ROW][C]96[/C][C]0.0518648[/C][C]0.10373[/C][C]0.948135[/C][/ROW]
[ROW][C]97[/C][C]0.0441832[/C][C]0.0883664[/C][C]0.955817[/C][/ROW]
[ROW][C]98[/C][C]0.0389297[/C][C]0.0778594[/C][C]0.96107[/C][/ROW]
[ROW][C]99[/C][C]0.0384862[/C][C]0.0769723[/C][C]0.961514[/C][/ROW]
[ROW][C]100[/C][C]0.0347298[/C][C]0.0694596[/C][C]0.96527[/C][/ROW]
[ROW][C]101[/C][C]0.0312969[/C][C]0.0625939[/C][C]0.968703[/C][/ROW]
[ROW][C]102[/C][C]0.0260946[/C][C]0.0521892[/C][C]0.973905[/C][/ROW]
[ROW][C]103[/C][C]0.0217154[/C][C]0.0434307[/C][C]0.978285[/C][/ROW]
[ROW][C]104[/C][C]0.021698[/C][C]0.0433959[/C][C]0.978302[/C][/ROW]
[ROW][C]105[/C][C]0.0497134[/C][C]0.0994268[/C][C]0.950287[/C][/ROW]
[ROW][C]106[/C][C]0.0466811[/C][C]0.0933622[/C][C]0.953319[/C][/ROW]
[ROW][C]107[/C][C]0.0577713[/C][C]0.115543[/C][C]0.942229[/C][/ROW]
[ROW][C]108[/C][C]0.0503744[/C][C]0.100749[/C][C]0.949626[/C][/ROW]
[ROW][C]109[/C][C]0.0909816[/C][C]0.181963[/C][C]0.909018[/C][/ROW]
[ROW][C]110[/C][C]0.108318[/C][C]0.216635[/C][C]0.891682[/C][/ROW]
[ROW][C]111[/C][C]0.107204[/C][C]0.214408[/C][C]0.892796[/C][/ROW]
[ROW][C]112[/C][C]0.137065[/C][C]0.27413[/C][C]0.862935[/C][/ROW]
[ROW][C]113[/C][C]0.124529[/C][C]0.249058[/C][C]0.875471[/C][/ROW]
[ROW][C]114[/C][C]0.119681[/C][C]0.239362[/C][C]0.880319[/C][/ROW]
[ROW][C]115[/C][C]0.114126[/C][C]0.228253[/C][C]0.885874[/C][/ROW]
[ROW][C]116[/C][C]0.113546[/C][C]0.227093[/C][C]0.886454[/C][/ROW]
[ROW][C]117[/C][C]0.105396[/C][C]0.210792[/C][C]0.894604[/C][/ROW]
[ROW][C]118[/C][C]0.0924946[/C][C]0.184989[/C][C]0.907505[/C][/ROW]
[ROW][C]119[/C][C]0.0867231[/C][C]0.173446[/C][C]0.913277[/C][/ROW]
[ROW][C]120[/C][C]0.0772739[/C][C]0.154548[/C][C]0.922726[/C][/ROW]
[ROW][C]121[/C][C]0.0685597[/C][C]0.137119[/C][C]0.93144[/C][/ROW]
[ROW][C]122[/C][C]0.0612731[/C][C]0.122546[/C][C]0.938727[/C][/ROW]
[ROW][C]123[/C][C]0.0517296[/C][C]0.103459[/C][C]0.94827[/C][/ROW]
[ROW][C]124[/C][C]0.0490574[/C][C]0.0981148[/C][C]0.950943[/C][/ROW]
[ROW][C]125[/C][C]0.0484457[/C][C]0.0968915[/C][C]0.951554[/C][/ROW]
[ROW][C]126[/C][C]0.0611078[/C][C]0.122216[/C][C]0.938892[/C][/ROW]
[ROW][C]127[/C][C]0.114165[/C][C]0.22833[/C][C]0.885835[/C][/ROW]
[ROW][C]128[/C][C]0.107223[/C][C]0.214446[/C][C]0.892777[/C][/ROW]
[ROW][C]129[/C][C]0.0943049[/C][C]0.18861[/C][C]0.905695[/C][/ROW]
[ROW][C]130[/C][C]0.0856206[/C][C]0.171241[/C][C]0.914379[/C][/ROW]
[ROW][C]131[/C][C]0.0964063[/C][C]0.192813[/C][C]0.903594[/C][/ROW]
[ROW][C]132[/C][C]0.107175[/C][C]0.21435[/C][C]0.892825[/C][/ROW]
[ROW][C]133[/C][C]0.132135[/C][C]0.264271[/C][C]0.867865[/C][/ROW]
[ROW][C]134[/C][C]0.116233[/C][C]0.232466[/C][C]0.883767[/C][/ROW]
[ROW][C]135[/C][C]0.101266[/C][C]0.202533[/C][C]0.898734[/C][/ROW]
[ROW][C]136[/C][C]0.0881686[/C][C]0.176337[/C][C]0.911831[/C][/ROW]
[ROW][C]137[/C][C]0.0752347[/C][C]0.150469[/C][C]0.924765[/C][/ROW]
[ROW][C]138[/C][C]0.0777537[/C][C]0.155507[/C][C]0.922246[/C][/ROW]
[ROW][C]139[/C][C]0.0670674[/C][C]0.134135[/C][C]0.932933[/C][/ROW]
[ROW][C]140[/C][C]0.0653215[/C][C]0.130643[/C][C]0.934678[/C][/ROW]
[ROW][C]141[/C][C]0.0598845[/C][C]0.119769[/C][C]0.940116[/C][/ROW]
[ROW][C]142[/C][C]0.0822358[/C][C]0.164472[/C][C]0.917764[/C][/ROW]
[ROW][C]143[/C][C]0.101048[/C][C]0.202095[/C][C]0.898952[/C][/ROW]
[ROW][C]144[/C][C]0.0935414[/C][C]0.187083[/C][C]0.906459[/C][/ROW]
[ROW][C]145[/C][C]0.163589[/C][C]0.327178[/C][C]0.836411[/C][/ROW]
[ROW][C]146[/C][C]0.151583[/C][C]0.303167[/C][C]0.848417[/C][/ROW]
[ROW][C]147[/C][C]0.134855[/C][C]0.269711[/C][C]0.865145[/C][/ROW]
[ROW][C]148[/C][C]0.11907[/C][C]0.238139[/C][C]0.88093[/C][/ROW]
[ROW][C]149[/C][C]0.110342[/C][C]0.220684[/C][C]0.889658[/C][/ROW]
[ROW][C]150[/C][C]0.0990853[/C][C]0.198171[/C][C]0.900915[/C][/ROW]
[ROW][C]151[/C][C]0.152163[/C][C]0.304325[/C][C]0.847837[/C][/ROW]
[ROW][C]152[/C][C]0.140088[/C][C]0.280175[/C][C]0.859912[/C][/ROW]
[ROW][C]153[/C][C]0.124157[/C][C]0.248315[/C][C]0.875843[/C][/ROW]
[ROW][C]154[/C][C]0.137544[/C][C]0.275088[/C][C]0.862456[/C][/ROW]
[ROW][C]155[/C][C]0.119416[/C][C]0.238831[/C][C]0.880584[/C][/ROW]
[ROW][C]156[/C][C]0.118891[/C][C]0.237783[/C][C]0.881109[/C][/ROW]
[ROW][C]157[/C][C]0.118873[/C][C]0.237745[/C][C]0.881127[/C][/ROW]
[ROW][C]158[/C][C]0.110262[/C][C]0.220525[/C][C]0.889738[/C][/ROW]
[ROW][C]159[/C][C]0.0963706[/C][C]0.192741[/C][C]0.903629[/C][/ROW]
[ROW][C]160[/C][C]0.1016[/C][C]0.2032[/C][C]0.8984[/C][/ROW]
[ROW][C]161[/C][C]0.0873093[/C][C]0.174619[/C][C]0.912691[/C][/ROW]
[ROW][C]162[/C][C]0.082765[/C][C]0.16553[/C][C]0.917235[/C][/ROW]
[ROW][C]163[/C][C]0.071865[/C][C]0.14373[/C][C]0.928135[/C][/ROW]
[ROW][C]164[/C][C]0.0862734[/C][C]0.172547[/C][C]0.913727[/C][/ROW]
[ROW][C]165[/C][C]0.0779483[/C][C]0.155897[/C][C]0.922052[/C][/ROW]
[ROW][C]166[/C][C]0.141764[/C][C]0.283529[/C][C]0.858236[/C][/ROW]
[ROW][C]167[/C][C]0.143351[/C][C]0.286701[/C][C]0.856649[/C][/ROW]
[ROW][C]168[/C][C]0.142128[/C][C]0.284257[/C][C]0.857872[/C][/ROW]
[ROW][C]169[/C][C]0.128494[/C][C]0.256987[/C][C]0.871506[/C][/ROW]
[ROW][C]170[/C][C]0.250331[/C][C]0.500662[/C][C]0.749669[/C][/ROW]
[ROW][C]171[/C][C]0.288905[/C][C]0.577809[/C][C]0.711095[/C][/ROW]
[ROW][C]172[/C][C]0.258822[/C][C]0.517643[/C][C]0.741178[/C][/ROW]
[ROW][C]173[/C][C]0.350475[/C][C]0.70095[/C][C]0.649525[/C][/ROW]
[ROW][C]174[/C][C]0.316394[/C][C]0.632789[/C][C]0.683606[/C][/ROW]
[ROW][C]175[/C][C]0.370212[/C][C]0.740424[/C][C]0.629788[/C][/ROW]
[ROW][C]176[/C][C]0.355875[/C][C]0.711751[/C][C]0.644125[/C][/ROW]
[ROW][C]177[/C][C]0.365405[/C][C]0.730809[/C][C]0.634595[/C][/ROW]
[ROW][C]178[/C][C]0.337696[/C][C]0.675392[/C][C]0.662304[/C][/ROW]
[ROW][C]179[/C][C]0.310873[/C][C]0.621747[/C][C]0.689127[/C][/ROW]
[ROW][C]180[/C][C]0.296336[/C][C]0.592672[/C][C]0.703664[/C][/ROW]
[ROW][C]181[/C][C]0.268452[/C][C]0.536904[/C][C]0.731548[/C][/ROW]
[ROW][C]182[/C][C]0.267474[/C][C]0.534948[/C][C]0.732526[/C][/ROW]
[ROW][C]183[/C][C]0.279214[/C][C]0.558427[/C][C]0.720786[/C][/ROW]
[ROW][C]184[/C][C]0.331382[/C][C]0.662764[/C][C]0.668618[/C][/ROW]
[ROW][C]185[/C][C]0.582339[/C][C]0.835322[/C][C]0.417661[/C][/ROW]
[ROW][C]186[/C][C]0.574903[/C][C]0.850195[/C][C]0.425097[/C][/ROW]
[ROW][C]187[/C][C]0.558584[/C][C]0.882832[/C][C]0.441416[/C][/ROW]
[ROW][C]188[/C][C]0.66388[/C][C]0.672239[/C][C]0.33612[/C][/ROW]
[ROW][C]189[/C][C]0.646894[/C][C]0.706213[/C][C]0.353106[/C][/ROW]
[ROW][C]190[/C][C]0.653091[/C][C]0.693817[/C][C]0.346909[/C][/ROW]
[ROW][C]191[/C][C]0.637606[/C][C]0.724788[/C][C]0.362394[/C][/ROW]
[ROW][C]192[/C][C]0.603075[/C][C]0.79385[/C][C]0.396925[/C][/ROW]
[ROW][C]193[/C][C]0.572979[/C][C]0.854043[/C][C]0.427021[/C][/ROW]
[ROW][C]194[/C][C]0.532436[/C][C]0.935129[/C][C]0.467564[/C][/ROW]
[ROW][C]195[/C][C]0.494184[/C][C]0.988368[/C][C]0.505816[/C][/ROW]
[ROW][C]196[/C][C]0.459176[/C][C]0.918352[/C][C]0.540824[/C][/ROW]
[ROW][C]197[/C][C]0.436149[/C][C]0.872297[/C][C]0.563851[/C][/ROW]
[ROW][C]198[/C][C]0.414612[/C][C]0.829224[/C][C]0.585388[/C][/ROW]
[ROW][C]199[/C][C]0.37427[/C][C]0.748541[/C][C]0.62573[/C][/ROW]
[ROW][C]200[/C][C]0.480666[/C][C]0.961331[/C][C]0.519334[/C][/ROW]
[ROW][C]201[/C][C]0.445301[/C][C]0.890602[/C][C]0.554699[/C][/ROW]
[ROW][C]202[/C][C]0.621458[/C][C]0.757083[/C][C]0.378542[/C][/ROW]
[ROW][C]203[/C][C]0.58541[/C][C]0.82918[/C][C]0.41459[/C][/ROW]
[ROW][C]204[/C][C]0.54791[/C][C]0.904181[/C][C]0.45209[/C][/ROW]
[ROW][C]205[/C][C]0.507345[/C][C]0.98531[/C][C]0.492655[/C][/ROW]
[ROW][C]206[/C][C]0.468048[/C][C]0.936096[/C][C]0.531952[/C][/ROW]
[ROW][C]207[/C][C]0.42553[/C][C]0.851061[/C][C]0.57447[/C][/ROW]
[ROW][C]208[/C][C]0.382402[/C][C]0.764804[/C][C]0.617598[/C][/ROW]
[ROW][C]209[/C][C]0.36136[/C][C]0.72272[/C][C]0.63864[/C][/ROW]
[ROW][C]210[/C][C]0.321825[/C][C]0.64365[/C][C]0.678175[/C][/ROW]
[ROW][C]211[/C][C]0.284542[/C][C]0.569083[/C][C]0.715458[/C][/ROW]
[ROW][C]212[/C][C]0.253703[/C][C]0.507407[/C][C]0.746297[/C][/ROW]
[ROW][C]213[/C][C]0.303933[/C][C]0.607866[/C][C]0.696067[/C][/ROW]
[ROW][C]214[/C][C]0.287789[/C][C]0.575578[/C][C]0.712211[/C][/ROW]
[ROW][C]215[/C][C]0.250063[/C][C]0.500127[/C][C]0.749937[/C][/ROW]
[ROW][C]216[/C][C]0.218479[/C][C]0.436957[/C][C]0.781521[/C][/ROW]
[ROW][C]217[/C][C]0.196587[/C][C]0.393173[/C][C]0.803413[/C][/ROW]
[ROW][C]218[/C][C]0.224176[/C][C]0.448353[/C][C]0.775824[/C][/ROW]
[ROW][C]219[/C][C]0.19577[/C][C]0.391539[/C][C]0.80423[/C][/ROW]
[ROW][C]220[/C][C]0.170147[/C][C]0.340295[/C][C]0.829853[/C][/ROW]
[ROW][C]221[/C][C]0.148207[/C][C]0.296414[/C][C]0.851793[/C][/ROW]
[ROW][C]222[/C][C]0.141798[/C][C]0.283597[/C][C]0.858202[/C][/ROW]
[ROW][C]223[/C][C]0.115815[/C][C]0.231631[/C][C]0.884185[/C][/ROW]
[ROW][C]224[/C][C]0.0976032[/C][C]0.195206[/C][C]0.902397[/C][/ROW]
[ROW][C]225[/C][C]0.0781842[/C][C]0.156368[/C][C]0.921816[/C][/ROW]
[ROW][C]226[/C][C]0.0876559[/C][C]0.175312[/C][C]0.912344[/C][/ROW]
[ROW][C]227[/C][C]0.0753059[/C][C]0.150612[/C][C]0.924694[/C][/ROW]
[ROW][C]228[/C][C]0.0587522[/C][C]0.117504[/C][C]0.941248[/C][/ROW]
[ROW][C]229[/C][C]0.045337[/C][C]0.090674[/C][C]0.954663[/C][/ROW]
[ROW][C]230[/C][C]0.0342793[/C][C]0.0685587[/C][C]0.965721[/C][/ROW]
[ROW][C]231[/C][C]0.0286243[/C][C]0.0572487[/C][C]0.971376[/C][/ROW]
[ROW][C]232[/C][C]0.0330166[/C][C]0.0660333[/C][C]0.966983[/C][/ROW]
[ROW][C]233[/C][C]0.0260459[/C][C]0.0520917[/C][C]0.973954[/C][/ROW]
[ROW][C]234[/C][C]0.121601[/C][C]0.243201[/C][C]0.878399[/C][/ROW]
[ROW][C]235[/C][C]0.097137[/C][C]0.194274[/C][C]0.902863[/C][/ROW]
[ROW][C]236[/C][C]0.0974228[/C][C]0.194846[/C][C]0.902577[/C][/ROW]
[ROW][C]237[/C][C]0.0987322[/C][C]0.197464[/C][C]0.901268[/C][/ROW]
[ROW][C]238[/C][C]0.227596[/C][C]0.455192[/C][C]0.772404[/C][/ROW]
[ROW][C]239[/C][C]0.188869[/C][C]0.377738[/C][C]0.811131[/C][/ROW]
[ROW][C]240[/C][C]0.289644[/C][C]0.579289[/C][C]0.710356[/C][/ROW]
[ROW][C]241[/C][C]0.387153[/C][C]0.774306[/C][C]0.612847[/C][/ROW]
[ROW][C]242[/C][C]0.32392[/C][C]0.64784[/C][C]0.67608[/C][/ROW]
[ROW][C]243[/C][C]0.268259[/C][C]0.536519[/C][C]0.731741[/C][/ROW]
[ROW][C]244[/C][C]0.230197[/C][C]0.460395[/C][C]0.769803[/C][/ROW]
[ROW][C]245[/C][C]0.461749[/C][C]0.923498[/C][C]0.538251[/C][/ROW]
[ROW][C]246[/C][C]0.703884[/C][C]0.592232[/C][C]0.296116[/C][/ROW]
[ROW][C]247[/C][C]0.66708[/C][C]0.665841[/C][C]0.33292[/C][/ROW]
[ROW][C]248[/C][C]0.64257[/C][C]0.71486[/C][C]0.35743[/C][/ROW]
[ROW][C]249[/C][C]0.683349[/C][C]0.633303[/C][C]0.316651[/C][/ROW]
[ROW][C]250[/C][C]0.628245[/C][C]0.743509[/C][C]0.371755[/C][/ROW]
[ROW][C]251[/C][C]0.629145[/C][C]0.741711[/C][C]0.370855[/C][/ROW]
[ROW][C]252[/C][C]0.649038[/C][C]0.701925[/C][C]0.350962[/C][/ROW]
[ROW][C]253[/C][C]0.753297[/C][C]0.493407[/C][C]0.246703[/C][/ROW]
[ROW][C]254[/C][C]0.934079[/C][C]0.131842[/C][C]0.0659212[/C][/ROW]
[ROW][C]255[/C][C]0.85924[/C][C]0.28152[/C][C]0.14076[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253387&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253387&T=5

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


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.1583730.3167460.841627
100.0674280.1348560.932572
110.02642920.05285850.973571
120.6579060.6841870.342094
130.7254340.5491310.274566
140.6386950.722610.361305
150.566820.866360.43318
160.6456690.7086620.354331
170.5695960.8608090.430404
180.5439180.9121650.456082
190.5096250.9807510.490375
200.5588160.8823690.441184
210.5848220.8303560.415178
220.5399620.9200760.460038
230.4906180.9812370.509382
240.4197320.8394630.580268
250.4604760.9209520.539524
260.6598150.680370.340185
270.5990610.8018790.400939
280.5814890.8370220.418511
290.5456720.9086560.454328
300.4864690.9729390.513531
310.5001290.9997420.499871
320.6087450.7825090.391255
330.6001720.7996560.399828
340.5702780.8594440.429722
350.5178290.9643430.482171
360.465450.9309010.53455
370.4191020.8382040.580898
380.3834750.766950.616525
390.4881360.9762710.511864
400.4361320.8722640.563868
410.4067220.8134440.593278
420.357110.714220.64289
430.3233980.6467960.676602
440.2862450.572490.713755
450.3507570.7015140.649243
460.3641520.7283030.635848
470.3287520.6575040.671248
480.3025680.6051360.697432
490.2614730.5229470.738527
500.2768640.5537280.723136
510.3146560.6293110.685344
520.281520.563040.71848
530.2453630.4907260.754637
540.2214840.4429680.778516
550.1891460.3782910.810854
560.1786120.3572250.821388
570.1919630.3839250.808037
580.2943120.5886250.705688
590.2653130.5306260.734687
600.2307670.4615340.769233
610.202850.4056990.79715
620.195310.390620.80469
630.1722730.3445460.827727
640.1713880.3427770.828612
650.1467880.2935770.853212
660.1272250.2544510.872775
670.1075540.2151070.892446
680.1150620.2301230.884938
690.1149450.229890.885055
700.09712460.1942490.902875
710.1032680.2065360.896732
720.1207660.2415330.879234
730.1182180.2364360.881782
740.09916780.1983360.900832
750.08560350.1712070.914397
760.121710.2434190.87829
770.1044370.2088740.895563
780.08820160.1764030.911798
790.1209520.2419040.879048
800.1416260.2832520.858374
810.1348010.2696010.865199
820.1164420.2328830.883558
830.109520.219040.89048
840.1038670.2077330.896133
850.0895510.1791020.910449
860.08083820.1616760.919162
870.07153750.1430750.928463
880.08673910.1734780.913261
890.07245840.1449170.927542
900.07582550.1516510.924175
910.06938350.1387670.930616
920.06192840.1238570.938072
930.05216620.1043320.947834
940.05613630.1122730.943864
950.05680890.1136180.943191
960.05186480.103730.948135
970.04418320.08836640.955817
980.03892970.07785940.96107
990.03848620.07697230.961514
1000.03472980.06945960.96527
1010.03129690.06259390.968703
1020.02609460.05218920.973905
1030.02171540.04343070.978285
1040.0216980.04339590.978302
1050.04971340.09942680.950287
1060.04668110.09336220.953319
1070.05777130.1155430.942229
1080.05037440.1007490.949626
1090.09098160.1819630.909018
1100.1083180.2166350.891682
1110.1072040.2144080.892796
1120.1370650.274130.862935
1130.1245290.2490580.875471
1140.1196810.2393620.880319
1150.1141260.2282530.885874
1160.1135460.2270930.886454
1170.1053960.2107920.894604
1180.09249460.1849890.907505
1190.08672310.1734460.913277
1200.07727390.1545480.922726
1210.06855970.1371190.93144
1220.06127310.1225460.938727
1230.05172960.1034590.94827
1240.04905740.09811480.950943
1250.04844570.09689150.951554
1260.06110780.1222160.938892
1270.1141650.228330.885835
1280.1072230.2144460.892777
1290.09430490.188610.905695
1300.08562060.1712410.914379
1310.09640630.1928130.903594
1320.1071750.214350.892825
1330.1321350.2642710.867865
1340.1162330.2324660.883767
1350.1012660.2025330.898734
1360.08816860.1763370.911831
1370.07523470.1504690.924765
1380.07775370.1555070.922246
1390.06706740.1341350.932933
1400.06532150.1306430.934678
1410.05988450.1197690.940116
1420.08223580.1644720.917764
1430.1010480.2020950.898952
1440.09354140.1870830.906459
1450.1635890.3271780.836411
1460.1515830.3031670.848417
1470.1348550.2697110.865145
1480.119070.2381390.88093
1490.1103420.2206840.889658
1500.09908530.1981710.900915
1510.1521630.3043250.847837
1520.1400880.2801750.859912
1530.1241570.2483150.875843
1540.1375440.2750880.862456
1550.1194160.2388310.880584
1560.1188910.2377830.881109
1570.1188730.2377450.881127
1580.1102620.2205250.889738
1590.09637060.1927410.903629
1600.10160.20320.8984
1610.08730930.1746190.912691
1620.0827650.165530.917235
1630.0718650.143730.928135
1640.08627340.1725470.913727
1650.07794830.1558970.922052
1660.1417640.2835290.858236
1670.1433510.2867010.856649
1680.1421280.2842570.857872
1690.1284940.2569870.871506
1700.2503310.5006620.749669
1710.2889050.5778090.711095
1720.2588220.5176430.741178
1730.3504750.700950.649525
1740.3163940.6327890.683606
1750.3702120.7404240.629788
1760.3558750.7117510.644125
1770.3654050.7308090.634595
1780.3376960.6753920.662304
1790.3108730.6217470.689127
1800.2963360.5926720.703664
1810.2684520.5369040.731548
1820.2674740.5349480.732526
1830.2792140.5584270.720786
1840.3313820.6627640.668618
1850.5823390.8353220.417661
1860.5749030.8501950.425097
1870.5585840.8828320.441416
1880.663880.6722390.33612
1890.6468940.7062130.353106
1900.6530910.6938170.346909
1910.6376060.7247880.362394
1920.6030750.793850.396925
1930.5729790.8540430.427021
1940.5324360.9351290.467564
1950.4941840.9883680.505816
1960.4591760.9183520.540824
1970.4361490.8722970.563851
1980.4146120.8292240.585388
1990.374270.7485410.62573
2000.4806660.9613310.519334
2010.4453010.8906020.554699
2020.6214580.7570830.378542
2030.585410.829180.41459
2040.547910.9041810.45209
2050.5073450.985310.492655
2060.4680480.9360960.531952
2070.425530.8510610.57447
2080.3824020.7648040.617598
2090.361360.722720.63864
2100.3218250.643650.678175
2110.2845420.5690830.715458
2120.2537030.5074070.746297
2130.3039330.6078660.696067
2140.2877890.5755780.712211
2150.2500630.5001270.749937
2160.2184790.4369570.781521
2170.1965870.3931730.803413
2180.2241760.4483530.775824
2190.195770.3915390.80423
2200.1701470.3402950.829853
2210.1482070.2964140.851793
2220.1417980.2835970.858202
2230.1158150.2316310.884185
2240.09760320.1952060.902397
2250.07818420.1563680.921816
2260.08765590.1753120.912344
2270.07530590.1506120.924694
2280.05875220.1175040.941248
2290.0453370.0906740.954663
2300.03427930.06855870.965721
2310.02862430.05724870.971376
2320.03301660.06603330.966983
2330.02604590.05209170.973954
2340.1216010.2432010.878399
2350.0971370.1942740.902863
2360.09742280.1948460.902577
2370.09873220.1974640.901268
2380.2275960.4551920.772404
2390.1888690.3777380.811131
2400.2896440.5792890.710356
2410.3871530.7743060.612847
2420.323920.647840.67608
2430.2682590.5365190.731741
2440.2301970.4603950.769803
2450.4617490.9234980.538251
2460.7038840.5922320.296116
2470.667080.6658410.33292
2480.642570.714860.35743
2490.6833490.6333030.316651
2500.6282450.7435090.371755
2510.6291450.7417110.370855
2520.6490380.7019250.350962
2530.7532970.4934070.246703
2540.9340790.1318420.0659212
2550.859240.281520.14076






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level20.00809717OK
10% type I error level180.0728745OK

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
Description & # significant tests & % significant tests & OK/NOK \tabularnewline
1% type I error level & 0 & 0 & OK \tabularnewline
5% type I error level & 2 & 0.00809717 & OK \tabularnewline
10% type I error level & 18 & 0.0728745 & OK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253387&T=6

[TABLE]
[ROW][C]Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]Description[/C][C]# significant tests[/C][C]% significant tests[/C][C]OK/NOK[/C][/ROW]
[ROW][C]1% type I error level[/C][C]0[/C][C]0[/C][C]OK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]2[/C][C]0.00809717[/C][C]OK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]18[/C][C]0.0728745[/C][C]OK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253387&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253387&T=6

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


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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level20.00809717OK
10% type I error level180.0728745OK


Figures (Output of Computation)

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

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