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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationThu, 11 Dec 2014 17:20:38 +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/Dec/11/t1418318474n70ho8mze9ix4ao.htm/, Retrieved Thu, 16 May 2024 15:48:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=266225, Retrieved Thu, 16 May 2024 15:48:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact69

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [] [2014-12-11 17:20:38] [b4b65124834fa3a3e625dd03af063494] [Current]
- R PD    [Multiple Regression] [] [2014-12-14 16:28:33] [2add28fdfb91c9297fa0715b27e01e1f]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
26 21 86 12.9
51 23 70 12.2
57 22 71 12.8
37 21 108 7.4
67 21 64 6.7
43 21 119 12.6
52 21 97 14.8
52 21 129 13.3
43 23 153 11.1
84 22 78 8.2
67 25 80 11.4
49 21 99 6.4
70 23 68 10.6
52 22 147 12
58 21 40 6.3
68 21 57 11.3
62 25 120 11.9
43 21 71 9.3
56 21 84 9.6
56 20 68 10
74 24 55 6.4
65 23 137 13.8
63 21 79 10.8
58 24 116 13.8
57 23 101 11.7
63 21 111 10.9
53 22 189 16.1
57 20 66 13.4
51 18 81 9.9
64 21 63 11.5
53 22 69 8.3
29 22 71 11.7
54 21 64 9
51 23 143 9.7
58 21 85 10.8
43 25 86 10.3
51 22 55 10.4
53 22 69 12.7
54 20 120 9.3
56 21 96 11.8
61 21 60 5.9
47 21 95 11.4
39 22 100 13
48 21 68 10.8
50 24 57 12.3
35 22 105 11.3
30 22 85 11.8
68 21 103 7.9
49 22 57 12.7
61 19 51 12.3
67 22 69 11.6
47 23 41 6.7
56 20 49 10.9
50 20 50 12.1
43 23 93 13.3
67 20 58 10.1
62 23 54 5.7
57 21 74 14.3
41 22 15 8
54 21 69 13.3
45 21 107 9.3
48 19 65 12.5
61 22 58 7.6
56 21 107 15.9
41 21 70 9.2
43 21 53 9.1
53 21 136 11.1
44 21 126 13
66 21 95 14.5
58 22 69 12.2
46 22 136 12.3
37 18 58 11.4
51 21 59 8.8
51 23 118 14.6
56 19 82 12.6
45 23 102 13
37 21 65 12.6
59 21 90 13.2
42 21 64 9.9
38 21 83 7.7
66 20 70 10.5
34 19 50 13.4
53 21 77 10.9
49 19 37 4.3
55 19 81 10.3
49 19 101 11.8
59 20 79 11.2
40 19 71 11.4
58 19 60 8.6
60 19 55 13.2
63 20 44 12.6
56 19 40 5.6
54 18 56 9.9
52 19 43 8.8
34 21 45 7.7
69 18 32 9
32 18 56 7.3
48 19 40 11.4
67 21 34 13.6
58 20 89 7.9
57 24 50 10.7
42 22 56 10.3
64 21 46 8.3
58 21 76 9.6
66 19 64 14.2
26 19 74 8.5
61 20 57 13.5
52 18 45 4.9
51 19 30 6.4
55 19 62 9.6
50 20 51 11.6
60 21 36 11.1
56 18 34 4.35
63 19 61 12.7
61 19 70 18.1
52 22 69 17.85
16 22 145 16.6
46 22 23 12.6
56 20 120 17.1
52 19 147 19.1
55 20 215 16.1
50 22 24 13.35
59 21 84 18.4
60 21 30 14.7
52 21 77 10.6
44 21 46 12.6
67 21 61 16.2
52 21 178 13.6
55 21 160 18.9
37 22 57 14.1
54 24 42 14.5
72 21 163 16.15
51 22 75 14.75
48 20 94 14.8
60 21 45 12.45
50 24 78 12.65
63 25 47 17.35
33 22 29 8.6
67 21 97 18.4
46 21 116 16.1
54 22 32 11.6
59 23 50 17.75
61 24 118 15.25
33 20 66 17.65
47 22 86 16.35
69 25 89 17.65
52 22 76 13.6
55 22 75 14.35
55 21 57 14.75
41 21 72 18.25
73 21 60 9.9
51 22 109 16
52 22 76 18.25
50 22 65 16.85
51 21 40 14.6
60 22 58 13.85
56 23 123 18.95
56 21 71 15.6
29 21 102 14.85
66 21 80 11.75
66 19 97 18.45
73 21 46 15.9
55 21 93 17.1
64 19 19 16.1
40 18 140 19.9
46 19 78 10.95
58 21 98 18.45
43 22 40 15.1
61 22 80 15
51 19 76 11.35
50 20 79 15.95
52 19 87 18.1
54 21 95 14.6
66 19 49 15.4
61 20 49 15.4
80 21 80 17.6
51 19 86 13.35
56 21 69 19.1
56 21 79 15.35
56 21 52 7.6
53 19 120 13.4
47 25 69 13.9
25 21 94 19.1
47 20 72 15.25
46 25 43 12.9
50 19 87 16.1
39 20 52 17.35
51 22 71 13.15
58 19 61 12.15
35 20 51 12.6
58 19 50 10.35
60 19 67 15.4
62 18 30 9.6
63 19 70 18.2
53 21 52 13.6
46 19 75 14.85
67 20 87 14.75
59 20 69 14.1
64 19 72 14.9
38 19 79 16.25
50 22 121 19.25
48 21 43 13.6
48 19 58 13.6
47 19 57 15.65
66 19 50 12.75
47 23 69 14.6
63 19 64 9.85
58 20 38 12.65
44 19 90 19.2
51 22 96 16.6
43 19 49 11.2
55 25 56 15.25
38 19 102 11.9
56 20 40 13.2
45 19 100 16.35
50 19 67 12.4
54 20 78 15.85
57 20 55 18.15
60 21 59 11.15
55 19 96 15.65
56 21 86 17.75
49 23 38 7.65
37 19 43 12.35
43 21 23 15.6
59 22 77 19.3
46 20 48 15.2
51 18 26 17.1
58 21 91 15.6
64 20 94 18.4
53 21 62 19.05
48 21 74 18.55
51 21 114 19.1
47 19 52 13.1
59 21 64 12.85
62 19 31 9.5
62 21 38 4.5
51 21 27 11.85
64 22 105 13.6
52 21 64 11.7
67 22 62 12.4
50 22 65 13.35
54 22 58 11.4
58 22 76 14.9
56 21 140 19.9
63 22 68 11.2
31 23 80 14.6
65 19 71 17.6
71 22 76 14.05
50 21 63 16.1
57 19 46 13.35
47 19 53 11.85
54 20 74 11.95
47 20 70 14.75
57 18 78 15.15
43 21 56 13.2
41 21 100 16.85
63 20 51 7.85
63 20 52 7.7
56 21 102 12.6
51 21 78 7.85
50 19 78 10.95
22 19 55 12.35
41 21 98 9.95
59 19 76 14.9
56 19 73 16.65
66 24 47 13.4
53 19 45 13.95
42 19 83 15.7
52 20 60 16.85
54 19 48 10.95
44 19 50 15.35
62 19 56 12.2
53 19 77 15.1
50 19 91 17.75
36 19 76 15.2
76 20 68 14.6
66 20 74 16.65
62 19 29 8.1

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 9 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266225&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]9 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266225&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266225&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Multiple Linear Regression - Estimated Regression Equation
IM[t] = + 46.3441 + 0.404565AGE[t] -0.0301108RFC[t] + 0.0413611EX[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
IM[t] =  +  46.3441 +  0.404565AGE[t] -0.0301108RFC[t] +  0.0413611EX[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266225&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]IM[t] =  +  46.3441 +  0.404565AGE[t] -0.0301108RFC[t] +  0.0413611EX[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266225&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266225&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
IM[t] = + 46.3441 + 0.404565AGE[t] -0.0301108RFC[t] + 0.0413611EX[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)46.34418.44625.4879.306e-084.653e-08
AGE0.4045650.3962681.0210.3081850.154092
RFC-0.03011080.021739-1.3850.1671470.0835735
EX0.04136110.1916350.21580.8292790.414639

\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) & 46.3441 & 8.4462 & 5.487 & 9.306e-08 & 4.653e-08 \tabularnewline
AGE & 0.404565 & 0.396268 & 1.021 & 0.308185 & 0.154092 \tabularnewline
RFC & -0.0301108 & 0.021739 & -1.385 & 0.167147 & 0.0835735 \tabularnewline
EX & 0.0413611 & 0.191635 & 0.2158 & 0.829279 & 0.414639 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266225&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]46.3441[/C][C]8.4462[/C][C]5.487[/C][C]9.306e-08[/C][C]4.653e-08[/C][/ROW]
[ROW][C]AGE[/C][C]0.404565[/C][C]0.396268[/C][C]1.021[/C][C]0.308185[/C][C]0.154092[/C][/ROW]
[ROW][C]RFC[/C][C]-0.0301108[/C][C]0.021739[/C][C]-1.385[/C][C]0.167147[/C][C]0.0835735[/C][/ROW]
[ROW][C]EX[/C][C]0.0413611[/C][C]0.191635[/C][C]0.2158[/C][C]0.829279[/C][C]0.414639[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266225&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266225&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)46.34418.44625.4879.306e-084.653e-08
AGE0.4045650.3962681.0210.3081850.154092
RFC-0.03011080.021739-1.3850.1671470.0835735
EX0.04136110.1916350.21580.8292790.414639






Multiple Linear Regression - Regression Statistics
Multiple R0.0972819
R-squared0.00946376
Adjusted R-squared-0.00138153
F-TEST (value)0.872615
F-TEST (DF numerator)3
F-TEST (DF denominator)274
p-value0.455711
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation10.2683
Sum Squared Residuals28890.2

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.0972819 \tabularnewline
R-squared & 0.00946376 \tabularnewline
Adjusted R-squared & -0.00138153 \tabularnewline
F-TEST (value) & 0.872615 \tabularnewline
F-TEST (DF numerator) & 3 \tabularnewline
F-TEST (DF denominator) & 274 \tabularnewline
p-value & 0.455711 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 10.2683 \tabularnewline
Sum Squared Residuals & 28890.2 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266225&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.0972819[/C][/ROW]
[ROW][C]R-squared[/C][C]0.00946376[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]-0.00138153[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]0.872615[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]3[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]274[/C][/ROW]
[ROW][C]p-value[/C][C]0.455711[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]10.2683[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]28890.2[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266225&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266225&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 R0.0972819
R-squared0.00946376
Adjusted R-squared-0.00138153
F-TEST (value)0.872615
F-TEST (DF numerator)3
F-TEST (DF denominator)274
p-value0.455711
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation10.2683
Sum Squared Residuals28890.2






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
12652.784-26.784
25154.046-3.04596
35753.63613.3639
43751.8941-14.8941
56753.1913.81
64351.7779-8.77794
75252.5314-0.531376
85251.50580.494213
94351.5013-8.50126
108453.235130.7649
116754.520912.4791
124952.1237-3.12372
137054.0415.96
145251.31460.685412
155853.89614.10388
166853.59114.409
176253.33718.66286
184353.0868-10.0868
195652.70773.29226
205652.80153.19851
217454.662319.3377
226552.094712.9053
236352.907910.0921
245853.13164.8684
255753.09183.90816
266351.948511.0515
275350.21952.78049
285753.00233.99766
295151.5968-0.596786
306453.418710.5813
315353.5102-0.510197
322953.5906-24.5906
335453.28510.714861
345151.7445-0.744465
355852.72735.27274
364354.2947-11.2947
375154.0186-3.01861
385353.6922-0.692186
395451.20682.79322
405652.43743.5626
416153.27747.72264
424752.451-5.45097
433952.7712-13.7712
444853.2391-5.23915
455054.8461-4.8461
463552.5503-17.5503
473053.1732-23.1732
486852.065315.9347
494954.0535-5.05352
506153.00397.99606
516753.646713.3533
524754.6917-7.69169
535653.41082.58918
545053.4303-3.43035
554353.3989-10.3989
566753.106713.8933
576254.25897.74111
585753.20323.79676
594155.1238-14.1238
605453.31240.687562
614552.0028-7.00278
624852.5907-4.59066
636153.81257.18754
645652.27583.72424
654153.1127-12.1127
664353.6205-10.6205
675351.2041.79598
684451.5837-7.58371
696652.579213.4208
705853.67154.32849
714651.6582-5.65822
723752.3514-15.3514
735153.4274-2.42742
745152.6999-1.69991
755652.08293.91709
764553.1155-8.1155
773753.4039-16.4039
785952.6766.32403
794253.3224-11.3224
803852.6593-14.6593
816652.76213.238
823453.0796-19.0796
835352.97230.0277157
844953.0946-4.09461
855552.01792.98211
864951.4777-2.47772
875952.51996.48009
884052.3645-12.3645
895852.57995.42009
906052.92077.07928
916353.63179.36831
925653.0582.94196
935452.34961.65044
945253.1001-1.10007
953453.8035-19.8035
966953.03515.965
973252.242-20.242
984853.2979-5.29794
996754.378712.6213
1005852.08235.91769
1015754.99072.0093
1024253.9844-11.9844
1036453.798210.2018
1045852.94865.05137
1056652.691113.3089
1062652.1542-26.1542
1076153.27757.72252
1085252.474-0.47397
1095153.3922-2.39224
1105552.5612.43895
1115053.3796-3.37955
1126054.21515.7849
1135652.78243.21756
1146352.719410.2806
1156152.67178.32827
1165253.9052-1.9052
1171651.5651-35.5651
1184655.0731-9.07315
1195651.52944.47061
1205250.39461.60544
1215548.62756.3725
1225055.0741-5.07406
1235953.07175.92828
1246054.54475.45533
1255252.9599-0.959876
1264453.976-9.97603
1276753.673313.3267
1285250.04281.95724
1295550.8044.19603
1303754.1114-17.1114
1315455.3888-1.38876
1327250.599921.4001
1335153.5963-2.59631
1344852.2171-4.21714
1356053.99996.00006
1365054.2282-4.22825
1376355.76067.23935
1383354.727-21.727
1396752.680314.3197
1404652.013-6.01304
1415454.7608-0.760789
1425954.87774.12227
1436153.13147.86865
1443353.1781-20.1781
1454753.3313-6.33127
1466954.508414.4916
1475253.5186-1.51863
1485553.57981.42023
1495553.73371.26626
1504153.4268-12.4268
1517353.442819.5572
1525152.6242-1.62424
1535253.711-1.71096
1545053.9843-3.98428
1555154.2394-3.23942
1566054.0715.92903
1575652.72933.27073
1585653.34732.65265
1592952.3829-23.3829
1606652.917113.0829
1616651.873214.1268
1627354.112518.8875
1635552.74692.25305
1646454.12479.87534
1654050.2339-10.2339
1664652.1351-6.13511
1675852.65225.34777
1684354.6647-11.6647
1696153.45617.5439
1705152.2119-1.21188
1715052.7164-2.71637
1725252.1598-0.159846
1735452.58331.41667
1746653.192412.8076
1756153.59697.40305
1768053.159126.8409
1775151.9935-0.993492
1785653.55232.44767
1795653.09612.90388
1805653.58862.41144
1815350.97182.02821
1824754.9555-7.95551
1832552.7996-27.7996
1844752.8982-5.89819
1854655.697-9.69703
1865052.0771-2.07712
1873953.5873-14.5873
1885153.6506-2.65058
1895852.69665.30337
1903553.4209-18.4209
1915852.95345.0466
1926052.65047.34961
1936253.128.87997
1946352.675910.3241
1955353.8367-0.83673
1964652.3868-6.38675
1976752.425914.5741
1985952.9416.05904
1996452.479211.5208
2003852.3242-14.3242
2015052.3973-2.39734
2024854.1077-6.10773
2034852.8469-4.84694
2044752.9618-5.96184
2056653.052712.9473
2064754.1753-7.17534
2076352.511210.4888
2085853.81444.18558
2094452.115-8.11501
2105153.0405-2.0405
2114353.0187-10.0187
2125555.4028-0.402791
2133851.4517-13.4517
2145653.7772.22305
2154551.696-6.69602
2165052.5263-2.5263
2175452.74231.25765
2185753.533.46997
2196053.52466.47538
2205551.78753.21249
2215652.98463.01539
2224954.8213-5.82131
2233753.2469-16.2469
2244354.7927-11.7927
2255953.72435.27572
2264653.6188-7.61879
2275153.5507-2.55068
2285852.74515.25487
2296452.36611.634
2305353.761-0.761039
2314853.379-5.37903
2325152.1973-1.19734
2334753.0069-6.00692
2345953.44445.55562
2356253.49038.50965
2366253.88198.1181
2375154.5171-3.51712
2386452.645411.3546
2395253.3968-1.39681
2406753.890613.1094
2415053.8395-3.83951
2425453.96960.0303646
2435853.57244.4276
2445651.44764.55245
2456353.66039.33975
2463153.8441-22.8441
2476552.620912.3791
2487153.537217.4628
2495053.6089-3.60891
2505753.19793.80207
2514752.9251-5.92511
2525452.70151.29852
2534752.9377-5.93774
2545751.90435.09574
2554353.6997-10.6997
2564152.5258-11.5258
2576353.22459.77555
2586353.18819.81186
2595652.28983.71017
2605152.816-1.81602
2615052.1351-2.13511
2622252.8856-30.8856
2634152.3007-11.3007
2645952.35876.64129
2655652.52143.47858
2666655.192710.8073
2675353.2529-0.252853
2684252.181-10.181
2695253.3257-1.3257
2705453.03840.961563
2714453.1602-9.1602
2726252.84939.15075
2735352.33690.663129
2745052.0249-2.02493
2753652.3711-16.3711
2767652.991823.0082
2776652.895913.1041
2786253.49278.50734

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 26 & 52.784 & -26.784 \tabularnewline
2 & 51 & 54.046 & -3.04596 \tabularnewline
3 & 57 & 53.6361 & 3.3639 \tabularnewline
4 & 37 & 51.8941 & -14.8941 \tabularnewline
5 & 67 & 53.19 & 13.81 \tabularnewline
6 & 43 & 51.7779 & -8.77794 \tabularnewline
7 & 52 & 52.5314 & -0.531376 \tabularnewline
8 & 52 & 51.5058 & 0.494213 \tabularnewline
9 & 43 & 51.5013 & -8.50126 \tabularnewline
10 & 84 & 53.2351 & 30.7649 \tabularnewline
11 & 67 & 54.5209 & 12.4791 \tabularnewline
12 & 49 & 52.1237 & -3.12372 \tabularnewline
13 & 70 & 54.04 & 15.96 \tabularnewline
14 & 52 & 51.3146 & 0.685412 \tabularnewline
15 & 58 & 53.8961 & 4.10388 \tabularnewline
16 & 68 & 53.591 & 14.409 \tabularnewline
17 & 62 & 53.3371 & 8.66286 \tabularnewline
18 & 43 & 53.0868 & -10.0868 \tabularnewline
19 & 56 & 52.7077 & 3.29226 \tabularnewline
20 & 56 & 52.8015 & 3.19851 \tabularnewline
21 & 74 & 54.6623 & 19.3377 \tabularnewline
22 & 65 & 52.0947 & 12.9053 \tabularnewline
23 & 63 & 52.9079 & 10.0921 \tabularnewline
24 & 58 & 53.1316 & 4.8684 \tabularnewline
25 & 57 & 53.0918 & 3.90816 \tabularnewline
26 & 63 & 51.9485 & 11.0515 \tabularnewline
27 & 53 & 50.2195 & 2.78049 \tabularnewline
28 & 57 & 53.0023 & 3.99766 \tabularnewline
29 & 51 & 51.5968 & -0.596786 \tabularnewline
30 & 64 & 53.4187 & 10.5813 \tabularnewline
31 & 53 & 53.5102 & -0.510197 \tabularnewline
32 & 29 & 53.5906 & -24.5906 \tabularnewline
33 & 54 & 53.2851 & 0.714861 \tabularnewline
34 & 51 & 51.7445 & -0.744465 \tabularnewline
35 & 58 & 52.7273 & 5.27274 \tabularnewline
36 & 43 & 54.2947 & -11.2947 \tabularnewline
37 & 51 & 54.0186 & -3.01861 \tabularnewline
38 & 53 & 53.6922 & -0.692186 \tabularnewline
39 & 54 & 51.2068 & 2.79322 \tabularnewline
40 & 56 & 52.4374 & 3.5626 \tabularnewline
41 & 61 & 53.2774 & 7.72264 \tabularnewline
42 & 47 & 52.451 & -5.45097 \tabularnewline
43 & 39 & 52.7712 & -13.7712 \tabularnewline
44 & 48 & 53.2391 & -5.23915 \tabularnewline
45 & 50 & 54.8461 & -4.8461 \tabularnewline
46 & 35 & 52.5503 & -17.5503 \tabularnewline
47 & 30 & 53.1732 & -23.1732 \tabularnewline
48 & 68 & 52.0653 & 15.9347 \tabularnewline
49 & 49 & 54.0535 & -5.05352 \tabularnewline
50 & 61 & 53.0039 & 7.99606 \tabularnewline
51 & 67 & 53.6467 & 13.3533 \tabularnewline
52 & 47 & 54.6917 & -7.69169 \tabularnewline
53 & 56 & 53.4108 & 2.58918 \tabularnewline
54 & 50 & 53.4303 & -3.43035 \tabularnewline
55 & 43 & 53.3989 & -10.3989 \tabularnewline
56 & 67 & 53.1067 & 13.8933 \tabularnewline
57 & 62 & 54.2589 & 7.74111 \tabularnewline
58 & 57 & 53.2032 & 3.79676 \tabularnewline
59 & 41 & 55.1238 & -14.1238 \tabularnewline
60 & 54 & 53.3124 & 0.687562 \tabularnewline
61 & 45 & 52.0028 & -7.00278 \tabularnewline
62 & 48 & 52.5907 & -4.59066 \tabularnewline
63 & 61 & 53.8125 & 7.18754 \tabularnewline
64 & 56 & 52.2758 & 3.72424 \tabularnewline
65 & 41 & 53.1127 & -12.1127 \tabularnewline
66 & 43 & 53.6205 & -10.6205 \tabularnewline
67 & 53 & 51.204 & 1.79598 \tabularnewline
68 & 44 & 51.5837 & -7.58371 \tabularnewline
69 & 66 & 52.5792 & 13.4208 \tabularnewline
70 & 58 & 53.6715 & 4.32849 \tabularnewline
71 & 46 & 51.6582 & -5.65822 \tabularnewline
72 & 37 & 52.3514 & -15.3514 \tabularnewline
73 & 51 & 53.4274 & -2.42742 \tabularnewline
74 & 51 & 52.6999 & -1.69991 \tabularnewline
75 & 56 & 52.0829 & 3.91709 \tabularnewline
76 & 45 & 53.1155 & -8.1155 \tabularnewline
77 & 37 & 53.4039 & -16.4039 \tabularnewline
78 & 59 & 52.676 & 6.32403 \tabularnewline
79 & 42 & 53.3224 & -11.3224 \tabularnewline
80 & 38 & 52.6593 & -14.6593 \tabularnewline
81 & 66 & 52.762 & 13.238 \tabularnewline
82 & 34 & 53.0796 & -19.0796 \tabularnewline
83 & 53 & 52.9723 & 0.0277157 \tabularnewline
84 & 49 & 53.0946 & -4.09461 \tabularnewline
85 & 55 & 52.0179 & 2.98211 \tabularnewline
86 & 49 & 51.4777 & -2.47772 \tabularnewline
87 & 59 & 52.5199 & 6.48009 \tabularnewline
88 & 40 & 52.3645 & -12.3645 \tabularnewline
89 & 58 & 52.5799 & 5.42009 \tabularnewline
90 & 60 & 52.9207 & 7.07928 \tabularnewline
91 & 63 & 53.6317 & 9.36831 \tabularnewline
92 & 56 & 53.058 & 2.94196 \tabularnewline
93 & 54 & 52.3496 & 1.65044 \tabularnewline
94 & 52 & 53.1001 & -1.10007 \tabularnewline
95 & 34 & 53.8035 & -19.8035 \tabularnewline
96 & 69 & 53.035 & 15.965 \tabularnewline
97 & 32 & 52.242 & -20.242 \tabularnewline
98 & 48 & 53.2979 & -5.29794 \tabularnewline
99 & 67 & 54.3787 & 12.6213 \tabularnewline
100 & 58 & 52.0823 & 5.91769 \tabularnewline
101 & 57 & 54.9907 & 2.0093 \tabularnewline
102 & 42 & 53.9844 & -11.9844 \tabularnewline
103 & 64 & 53.7982 & 10.2018 \tabularnewline
104 & 58 & 52.9486 & 5.05137 \tabularnewline
105 & 66 & 52.6911 & 13.3089 \tabularnewline
106 & 26 & 52.1542 & -26.1542 \tabularnewline
107 & 61 & 53.2775 & 7.72252 \tabularnewline
108 & 52 & 52.474 & -0.47397 \tabularnewline
109 & 51 & 53.3922 & -2.39224 \tabularnewline
110 & 55 & 52.561 & 2.43895 \tabularnewline
111 & 50 & 53.3796 & -3.37955 \tabularnewline
112 & 60 & 54.2151 & 5.7849 \tabularnewline
113 & 56 & 52.7824 & 3.21756 \tabularnewline
114 & 63 & 52.7194 & 10.2806 \tabularnewline
115 & 61 & 52.6717 & 8.32827 \tabularnewline
116 & 52 & 53.9052 & -1.9052 \tabularnewline
117 & 16 & 51.5651 & -35.5651 \tabularnewline
118 & 46 & 55.0731 & -9.07315 \tabularnewline
119 & 56 & 51.5294 & 4.47061 \tabularnewline
120 & 52 & 50.3946 & 1.60544 \tabularnewline
121 & 55 & 48.6275 & 6.3725 \tabularnewline
122 & 50 & 55.0741 & -5.07406 \tabularnewline
123 & 59 & 53.0717 & 5.92828 \tabularnewline
124 & 60 & 54.5447 & 5.45533 \tabularnewline
125 & 52 & 52.9599 & -0.959876 \tabularnewline
126 & 44 & 53.976 & -9.97603 \tabularnewline
127 & 67 & 53.6733 & 13.3267 \tabularnewline
128 & 52 & 50.0428 & 1.95724 \tabularnewline
129 & 55 & 50.804 & 4.19603 \tabularnewline
130 & 37 & 54.1114 & -17.1114 \tabularnewline
131 & 54 & 55.3888 & -1.38876 \tabularnewline
132 & 72 & 50.5999 & 21.4001 \tabularnewline
133 & 51 & 53.5963 & -2.59631 \tabularnewline
134 & 48 & 52.2171 & -4.21714 \tabularnewline
135 & 60 & 53.9999 & 6.00006 \tabularnewline
136 & 50 & 54.2282 & -4.22825 \tabularnewline
137 & 63 & 55.7606 & 7.23935 \tabularnewline
138 & 33 & 54.727 & -21.727 \tabularnewline
139 & 67 & 52.6803 & 14.3197 \tabularnewline
140 & 46 & 52.013 & -6.01304 \tabularnewline
141 & 54 & 54.7608 & -0.760789 \tabularnewline
142 & 59 & 54.8777 & 4.12227 \tabularnewline
143 & 61 & 53.1314 & 7.86865 \tabularnewline
144 & 33 & 53.1781 & -20.1781 \tabularnewline
145 & 47 & 53.3313 & -6.33127 \tabularnewline
146 & 69 & 54.5084 & 14.4916 \tabularnewline
147 & 52 & 53.5186 & -1.51863 \tabularnewline
148 & 55 & 53.5798 & 1.42023 \tabularnewline
149 & 55 & 53.7337 & 1.26626 \tabularnewline
150 & 41 & 53.4268 & -12.4268 \tabularnewline
151 & 73 & 53.4428 & 19.5572 \tabularnewline
152 & 51 & 52.6242 & -1.62424 \tabularnewline
153 & 52 & 53.711 & -1.71096 \tabularnewline
154 & 50 & 53.9843 & -3.98428 \tabularnewline
155 & 51 & 54.2394 & -3.23942 \tabularnewline
156 & 60 & 54.071 & 5.92903 \tabularnewline
157 & 56 & 52.7293 & 3.27073 \tabularnewline
158 & 56 & 53.3473 & 2.65265 \tabularnewline
159 & 29 & 52.3829 & -23.3829 \tabularnewline
160 & 66 & 52.9171 & 13.0829 \tabularnewline
161 & 66 & 51.8732 & 14.1268 \tabularnewline
162 & 73 & 54.1125 & 18.8875 \tabularnewline
163 & 55 & 52.7469 & 2.25305 \tabularnewline
164 & 64 & 54.1247 & 9.87534 \tabularnewline
165 & 40 & 50.2339 & -10.2339 \tabularnewline
166 & 46 & 52.1351 & -6.13511 \tabularnewline
167 & 58 & 52.6522 & 5.34777 \tabularnewline
168 & 43 & 54.6647 & -11.6647 \tabularnewline
169 & 61 & 53.4561 & 7.5439 \tabularnewline
170 & 51 & 52.2119 & -1.21188 \tabularnewline
171 & 50 & 52.7164 & -2.71637 \tabularnewline
172 & 52 & 52.1598 & -0.159846 \tabularnewline
173 & 54 & 52.5833 & 1.41667 \tabularnewline
174 & 66 & 53.1924 & 12.8076 \tabularnewline
175 & 61 & 53.5969 & 7.40305 \tabularnewline
176 & 80 & 53.1591 & 26.8409 \tabularnewline
177 & 51 & 51.9935 & -0.993492 \tabularnewline
178 & 56 & 53.5523 & 2.44767 \tabularnewline
179 & 56 & 53.0961 & 2.90388 \tabularnewline
180 & 56 & 53.5886 & 2.41144 \tabularnewline
181 & 53 & 50.9718 & 2.02821 \tabularnewline
182 & 47 & 54.9555 & -7.95551 \tabularnewline
183 & 25 & 52.7996 & -27.7996 \tabularnewline
184 & 47 & 52.8982 & -5.89819 \tabularnewline
185 & 46 & 55.697 & -9.69703 \tabularnewline
186 & 50 & 52.0771 & -2.07712 \tabularnewline
187 & 39 & 53.5873 & -14.5873 \tabularnewline
188 & 51 & 53.6506 & -2.65058 \tabularnewline
189 & 58 & 52.6966 & 5.30337 \tabularnewline
190 & 35 & 53.4209 & -18.4209 \tabularnewline
191 & 58 & 52.9534 & 5.0466 \tabularnewline
192 & 60 & 52.6504 & 7.34961 \tabularnewline
193 & 62 & 53.12 & 8.87997 \tabularnewline
194 & 63 & 52.6759 & 10.3241 \tabularnewline
195 & 53 & 53.8367 & -0.83673 \tabularnewline
196 & 46 & 52.3868 & -6.38675 \tabularnewline
197 & 67 & 52.4259 & 14.5741 \tabularnewline
198 & 59 & 52.941 & 6.05904 \tabularnewline
199 & 64 & 52.4792 & 11.5208 \tabularnewline
200 & 38 & 52.3242 & -14.3242 \tabularnewline
201 & 50 & 52.3973 & -2.39734 \tabularnewline
202 & 48 & 54.1077 & -6.10773 \tabularnewline
203 & 48 & 52.8469 & -4.84694 \tabularnewline
204 & 47 & 52.9618 & -5.96184 \tabularnewline
205 & 66 & 53.0527 & 12.9473 \tabularnewline
206 & 47 & 54.1753 & -7.17534 \tabularnewline
207 & 63 & 52.5112 & 10.4888 \tabularnewline
208 & 58 & 53.8144 & 4.18558 \tabularnewline
209 & 44 & 52.115 & -8.11501 \tabularnewline
210 & 51 & 53.0405 & -2.0405 \tabularnewline
211 & 43 & 53.0187 & -10.0187 \tabularnewline
212 & 55 & 55.4028 & -0.402791 \tabularnewline
213 & 38 & 51.4517 & -13.4517 \tabularnewline
214 & 56 & 53.777 & 2.22305 \tabularnewline
215 & 45 & 51.696 & -6.69602 \tabularnewline
216 & 50 & 52.5263 & -2.5263 \tabularnewline
217 & 54 & 52.7423 & 1.25765 \tabularnewline
218 & 57 & 53.53 & 3.46997 \tabularnewline
219 & 60 & 53.5246 & 6.47538 \tabularnewline
220 & 55 & 51.7875 & 3.21249 \tabularnewline
221 & 56 & 52.9846 & 3.01539 \tabularnewline
222 & 49 & 54.8213 & -5.82131 \tabularnewline
223 & 37 & 53.2469 & -16.2469 \tabularnewline
224 & 43 & 54.7927 & -11.7927 \tabularnewline
225 & 59 & 53.7243 & 5.27572 \tabularnewline
226 & 46 & 53.6188 & -7.61879 \tabularnewline
227 & 51 & 53.5507 & -2.55068 \tabularnewline
228 & 58 & 52.7451 & 5.25487 \tabularnewline
229 & 64 & 52.366 & 11.634 \tabularnewline
230 & 53 & 53.761 & -0.761039 \tabularnewline
231 & 48 & 53.379 & -5.37903 \tabularnewline
232 & 51 & 52.1973 & -1.19734 \tabularnewline
233 & 47 & 53.0069 & -6.00692 \tabularnewline
234 & 59 & 53.4444 & 5.55562 \tabularnewline
235 & 62 & 53.4903 & 8.50965 \tabularnewline
236 & 62 & 53.8819 & 8.1181 \tabularnewline
237 & 51 & 54.5171 & -3.51712 \tabularnewline
238 & 64 & 52.6454 & 11.3546 \tabularnewline
239 & 52 & 53.3968 & -1.39681 \tabularnewline
240 & 67 & 53.8906 & 13.1094 \tabularnewline
241 & 50 & 53.8395 & -3.83951 \tabularnewline
242 & 54 & 53.9696 & 0.0303646 \tabularnewline
243 & 58 & 53.5724 & 4.4276 \tabularnewline
244 & 56 & 51.4476 & 4.55245 \tabularnewline
245 & 63 & 53.6603 & 9.33975 \tabularnewline
246 & 31 & 53.8441 & -22.8441 \tabularnewline
247 & 65 & 52.6209 & 12.3791 \tabularnewline
248 & 71 & 53.5372 & 17.4628 \tabularnewline
249 & 50 & 53.6089 & -3.60891 \tabularnewline
250 & 57 & 53.1979 & 3.80207 \tabularnewline
251 & 47 & 52.9251 & -5.92511 \tabularnewline
252 & 54 & 52.7015 & 1.29852 \tabularnewline
253 & 47 & 52.9377 & -5.93774 \tabularnewline
254 & 57 & 51.9043 & 5.09574 \tabularnewline
255 & 43 & 53.6997 & -10.6997 \tabularnewline
256 & 41 & 52.5258 & -11.5258 \tabularnewline
257 & 63 & 53.2245 & 9.77555 \tabularnewline
258 & 63 & 53.1881 & 9.81186 \tabularnewline
259 & 56 & 52.2898 & 3.71017 \tabularnewline
260 & 51 & 52.816 & -1.81602 \tabularnewline
261 & 50 & 52.1351 & -2.13511 \tabularnewline
262 & 22 & 52.8856 & -30.8856 \tabularnewline
263 & 41 & 52.3007 & -11.3007 \tabularnewline
264 & 59 & 52.3587 & 6.64129 \tabularnewline
265 & 56 & 52.5214 & 3.47858 \tabularnewline
266 & 66 & 55.1927 & 10.8073 \tabularnewline
267 & 53 & 53.2529 & -0.252853 \tabularnewline
268 & 42 & 52.181 & -10.181 \tabularnewline
269 & 52 & 53.3257 & -1.3257 \tabularnewline
270 & 54 & 53.0384 & 0.961563 \tabularnewline
271 & 44 & 53.1602 & -9.1602 \tabularnewline
272 & 62 & 52.8493 & 9.15075 \tabularnewline
273 & 53 & 52.3369 & 0.663129 \tabularnewline
274 & 50 & 52.0249 & -2.02493 \tabularnewline
275 & 36 & 52.3711 & -16.3711 \tabularnewline
276 & 76 & 52.9918 & 23.0082 \tabularnewline
277 & 66 & 52.8959 & 13.1041 \tabularnewline
278 & 62 & 53.4927 & 8.50734 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266225&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]26[/C][C]52.784[/C][C]-26.784[/C][/ROW]
[ROW][C]2[/C][C]51[/C][C]54.046[/C][C]-3.04596[/C][/ROW]
[ROW][C]3[/C][C]57[/C][C]53.6361[/C][C]3.3639[/C][/ROW]
[ROW][C]4[/C][C]37[/C][C]51.8941[/C][C]-14.8941[/C][/ROW]
[ROW][C]5[/C][C]67[/C][C]53.19[/C][C]13.81[/C][/ROW]
[ROW][C]6[/C][C]43[/C][C]51.7779[/C][C]-8.77794[/C][/ROW]
[ROW][C]7[/C][C]52[/C][C]52.5314[/C][C]-0.531376[/C][/ROW]
[ROW][C]8[/C][C]52[/C][C]51.5058[/C][C]0.494213[/C][/ROW]
[ROW][C]9[/C][C]43[/C][C]51.5013[/C][C]-8.50126[/C][/ROW]
[ROW][C]10[/C][C]84[/C][C]53.2351[/C][C]30.7649[/C][/ROW]
[ROW][C]11[/C][C]67[/C][C]54.5209[/C][C]12.4791[/C][/ROW]
[ROW][C]12[/C][C]49[/C][C]52.1237[/C][C]-3.12372[/C][/ROW]
[ROW][C]13[/C][C]70[/C][C]54.04[/C][C]15.96[/C][/ROW]
[ROW][C]14[/C][C]52[/C][C]51.3146[/C][C]0.685412[/C][/ROW]
[ROW][C]15[/C][C]58[/C][C]53.8961[/C][C]4.10388[/C][/ROW]
[ROW][C]16[/C][C]68[/C][C]53.591[/C][C]14.409[/C][/ROW]
[ROW][C]17[/C][C]62[/C][C]53.3371[/C][C]8.66286[/C][/ROW]
[ROW][C]18[/C][C]43[/C][C]53.0868[/C][C]-10.0868[/C][/ROW]
[ROW][C]19[/C][C]56[/C][C]52.7077[/C][C]3.29226[/C][/ROW]
[ROW][C]20[/C][C]56[/C][C]52.8015[/C][C]3.19851[/C][/ROW]
[ROW][C]21[/C][C]74[/C][C]54.6623[/C][C]19.3377[/C][/ROW]
[ROW][C]22[/C][C]65[/C][C]52.0947[/C][C]12.9053[/C][/ROW]
[ROW][C]23[/C][C]63[/C][C]52.9079[/C][C]10.0921[/C][/ROW]
[ROW][C]24[/C][C]58[/C][C]53.1316[/C][C]4.8684[/C][/ROW]
[ROW][C]25[/C][C]57[/C][C]53.0918[/C][C]3.90816[/C][/ROW]
[ROW][C]26[/C][C]63[/C][C]51.9485[/C][C]11.0515[/C][/ROW]
[ROW][C]27[/C][C]53[/C][C]50.2195[/C][C]2.78049[/C][/ROW]
[ROW][C]28[/C][C]57[/C][C]53.0023[/C][C]3.99766[/C][/ROW]
[ROW][C]29[/C][C]51[/C][C]51.5968[/C][C]-0.596786[/C][/ROW]
[ROW][C]30[/C][C]64[/C][C]53.4187[/C][C]10.5813[/C][/ROW]
[ROW][C]31[/C][C]53[/C][C]53.5102[/C][C]-0.510197[/C][/ROW]
[ROW][C]32[/C][C]29[/C][C]53.5906[/C][C]-24.5906[/C][/ROW]
[ROW][C]33[/C][C]54[/C][C]53.2851[/C][C]0.714861[/C][/ROW]
[ROW][C]34[/C][C]51[/C][C]51.7445[/C][C]-0.744465[/C][/ROW]
[ROW][C]35[/C][C]58[/C][C]52.7273[/C][C]5.27274[/C][/ROW]
[ROW][C]36[/C][C]43[/C][C]54.2947[/C][C]-11.2947[/C][/ROW]
[ROW][C]37[/C][C]51[/C][C]54.0186[/C][C]-3.01861[/C][/ROW]
[ROW][C]38[/C][C]53[/C][C]53.6922[/C][C]-0.692186[/C][/ROW]
[ROW][C]39[/C][C]54[/C][C]51.2068[/C][C]2.79322[/C][/ROW]
[ROW][C]40[/C][C]56[/C][C]52.4374[/C][C]3.5626[/C][/ROW]
[ROW][C]41[/C][C]61[/C][C]53.2774[/C][C]7.72264[/C][/ROW]
[ROW][C]42[/C][C]47[/C][C]52.451[/C][C]-5.45097[/C][/ROW]
[ROW][C]43[/C][C]39[/C][C]52.7712[/C][C]-13.7712[/C][/ROW]
[ROW][C]44[/C][C]48[/C][C]53.2391[/C][C]-5.23915[/C][/ROW]
[ROW][C]45[/C][C]50[/C][C]54.8461[/C][C]-4.8461[/C][/ROW]
[ROW][C]46[/C][C]35[/C][C]52.5503[/C][C]-17.5503[/C][/ROW]
[ROW][C]47[/C][C]30[/C][C]53.1732[/C][C]-23.1732[/C][/ROW]
[ROW][C]48[/C][C]68[/C][C]52.0653[/C][C]15.9347[/C][/ROW]
[ROW][C]49[/C][C]49[/C][C]54.0535[/C][C]-5.05352[/C][/ROW]
[ROW][C]50[/C][C]61[/C][C]53.0039[/C][C]7.99606[/C][/ROW]
[ROW][C]51[/C][C]67[/C][C]53.6467[/C][C]13.3533[/C][/ROW]
[ROW][C]52[/C][C]47[/C][C]54.6917[/C][C]-7.69169[/C][/ROW]
[ROW][C]53[/C][C]56[/C][C]53.4108[/C][C]2.58918[/C][/ROW]
[ROW][C]54[/C][C]50[/C][C]53.4303[/C][C]-3.43035[/C][/ROW]
[ROW][C]55[/C][C]43[/C][C]53.3989[/C][C]-10.3989[/C][/ROW]
[ROW][C]56[/C][C]67[/C][C]53.1067[/C][C]13.8933[/C][/ROW]
[ROW][C]57[/C][C]62[/C][C]54.2589[/C][C]7.74111[/C][/ROW]
[ROW][C]58[/C][C]57[/C][C]53.2032[/C][C]3.79676[/C][/ROW]
[ROW][C]59[/C][C]41[/C][C]55.1238[/C][C]-14.1238[/C][/ROW]
[ROW][C]60[/C][C]54[/C][C]53.3124[/C][C]0.687562[/C][/ROW]
[ROW][C]61[/C][C]45[/C][C]52.0028[/C][C]-7.00278[/C][/ROW]
[ROW][C]62[/C][C]48[/C][C]52.5907[/C][C]-4.59066[/C][/ROW]
[ROW][C]63[/C][C]61[/C][C]53.8125[/C][C]7.18754[/C][/ROW]
[ROW][C]64[/C][C]56[/C][C]52.2758[/C][C]3.72424[/C][/ROW]
[ROW][C]65[/C][C]41[/C][C]53.1127[/C][C]-12.1127[/C][/ROW]
[ROW][C]66[/C][C]43[/C][C]53.6205[/C][C]-10.6205[/C][/ROW]
[ROW][C]67[/C][C]53[/C][C]51.204[/C][C]1.79598[/C][/ROW]
[ROW][C]68[/C][C]44[/C][C]51.5837[/C][C]-7.58371[/C][/ROW]
[ROW][C]69[/C][C]66[/C][C]52.5792[/C][C]13.4208[/C][/ROW]
[ROW][C]70[/C][C]58[/C][C]53.6715[/C][C]4.32849[/C][/ROW]
[ROW][C]71[/C][C]46[/C][C]51.6582[/C][C]-5.65822[/C][/ROW]
[ROW][C]72[/C][C]37[/C][C]52.3514[/C][C]-15.3514[/C][/ROW]
[ROW][C]73[/C][C]51[/C][C]53.4274[/C][C]-2.42742[/C][/ROW]
[ROW][C]74[/C][C]51[/C][C]52.6999[/C][C]-1.69991[/C][/ROW]
[ROW][C]75[/C][C]56[/C][C]52.0829[/C][C]3.91709[/C][/ROW]
[ROW][C]76[/C][C]45[/C][C]53.1155[/C][C]-8.1155[/C][/ROW]
[ROW][C]77[/C][C]37[/C][C]53.4039[/C][C]-16.4039[/C][/ROW]
[ROW][C]78[/C][C]59[/C][C]52.676[/C][C]6.32403[/C][/ROW]
[ROW][C]79[/C][C]42[/C][C]53.3224[/C][C]-11.3224[/C][/ROW]
[ROW][C]80[/C][C]38[/C][C]52.6593[/C][C]-14.6593[/C][/ROW]
[ROW][C]81[/C][C]66[/C][C]52.762[/C][C]13.238[/C][/ROW]
[ROW][C]82[/C][C]34[/C][C]53.0796[/C][C]-19.0796[/C][/ROW]
[ROW][C]83[/C][C]53[/C][C]52.9723[/C][C]0.0277157[/C][/ROW]
[ROW][C]84[/C][C]49[/C][C]53.0946[/C][C]-4.09461[/C][/ROW]
[ROW][C]85[/C][C]55[/C][C]52.0179[/C][C]2.98211[/C][/ROW]
[ROW][C]86[/C][C]49[/C][C]51.4777[/C][C]-2.47772[/C][/ROW]
[ROW][C]87[/C][C]59[/C][C]52.5199[/C][C]6.48009[/C][/ROW]
[ROW][C]88[/C][C]40[/C][C]52.3645[/C][C]-12.3645[/C][/ROW]
[ROW][C]89[/C][C]58[/C][C]52.5799[/C][C]5.42009[/C][/ROW]
[ROW][C]90[/C][C]60[/C][C]52.9207[/C][C]7.07928[/C][/ROW]
[ROW][C]91[/C][C]63[/C][C]53.6317[/C][C]9.36831[/C][/ROW]
[ROW][C]92[/C][C]56[/C][C]53.058[/C][C]2.94196[/C][/ROW]
[ROW][C]93[/C][C]54[/C][C]52.3496[/C][C]1.65044[/C][/ROW]
[ROW][C]94[/C][C]52[/C][C]53.1001[/C][C]-1.10007[/C][/ROW]
[ROW][C]95[/C][C]34[/C][C]53.8035[/C][C]-19.8035[/C][/ROW]
[ROW][C]96[/C][C]69[/C][C]53.035[/C][C]15.965[/C][/ROW]
[ROW][C]97[/C][C]32[/C][C]52.242[/C][C]-20.242[/C][/ROW]
[ROW][C]98[/C][C]48[/C][C]53.2979[/C][C]-5.29794[/C][/ROW]
[ROW][C]99[/C][C]67[/C][C]54.3787[/C][C]12.6213[/C][/ROW]
[ROW][C]100[/C][C]58[/C][C]52.0823[/C][C]5.91769[/C][/ROW]
[ROW][C]101[/C][C]57[/C][C]54.9907[/C][C]2.0093[/C][/ROW]
[ROW][C]102[/C][C]42[/C][C]53.9844[/C][C]-11.9844[/C][/ROW]
[ROW][C]103[/C][C]64[/C][C]53.7982[/C][C]10.2018[/C][/ROW]
[ROW][C]104[/C][C]58[/C][C]52.9486[/C][C]5.05137[/C][/ROW]
[ROW][C]105[/C][C]66[/C][C]52.6911[/C][C]13.3089[/C][/ROW]
[ROW][C]106[/C][C]26[/C][C]52.1542[/C][C]-26.1542[/C][/ROW]
[ROW][C]107[/C][C]61[/C][C]53.2775[/C][C]7.72252[/C][/ROW]
[ROW][C]108[/C][C]52[/C][C]52.474[/C][C]-0.47397[/C][/ROW]
[ROW][C]109[/C][C]51[/C][C]53.3922[/C][C]-2.39224[/C][/ROW]
[ROW][C]110[/C][C]55[/C][C]52.561[/C][C]2.43895[/C][/ROW]
[ROW][C]111[/C][C]50[/C][C]53.3796[/C][C]-3.37955[/C][/ROW]
[ROW][C]112[/C][C]60[/C][C]54.2151[/C][C]5.7849[/C][/ROW]
[ROW][C]113[/C][C]56[/C][C]52.7824[/C][C]3.21756[/C][/ROW]
[ROW][C]114[/C][C]63[/C][C]52.7194[/C][C]10.2806[/C][/ROW]
[ROW][C]115[/C][C]61[/C][C]52.6717[/C][C]8.32827[/C][/ROW]
[ROW][C]116[/C][C]52[/C][C]53.9052[/C][C]-1.9052[/C][/ROW]
[ROW][C]117[/C][C]16[/C][C]51.5651[/C][C]-35.5651[/C][/ROW]
[ROW][C]118[/C][C]46[/C][C]55.0731[/C][C]-9.07315[/C][/ROW]
[ROW][C]119[/C][C]56[/C][C]51.5294[/C][C]4.47061[/C][/ROW]
[ROW][C]120[/C][C]52[/C][C]50.3946[/C][C]1.60544[/C][/ROW]
[ROW][C]121[/C][C]55[/C][C]48.6275[/C][C]6.3725[/C][/ROW]
[ROW][C]122[/C][C]50[/C][C]55.0741[/C][C]-5.07406[/C][/ROW]
[ROW][C]123[/C][C]59[/C][C]53.0717[/C][C]5.92828[/C][/ROW]
[ROW][C]124[/C][C]60[/C][C]54.5447[/C][C]5.45533[/C][/ROW]
[ROW][C]125[/C][C]52[/C][C]52.9599[/C][C]-0.959876[/C][/ROW]
[ROW][C]126[/C][C]44[/C][C]53.976[/C][C]-9.97603[/C][/ROW]
[ROW][C]127[/C][C]67[/C][C]53.6733[/C][C]13.3267[/C][/ROW]
[ROW][C]128[/C][C]52[/C][C]50.0428[/C][C]1.95724[/C][/ROW]
[ROW][C]129[/C][C]55[/C][C]50.804[/C][C]4.19603[/C][/ROW]
[ROW][C]130[/C][C]37[/C][C]54.1114[/C][C]-17.1114[/C][/ROW]
[ROW][C]131[/C][C]54[/C][C]55.3888[/C][C]-1.38876[/C][/ROW]
[ROW][C]132[/C][C]72[/C][C]50.5999[/C][C]21.4001[/C][/ROW]
[ROW][C]133[/C][C]51[/C][C]53.5963[/C][C]-2.59631[/C][/ROW]
[ROW][C]134[/C][C]48[/C][C]52.2171[/C][C]-4.21714[/C][/ROW]
[ROW][C]135[/C][C]60[/C][C]53.9999[/C][C]6.00006[/C][/ROW]
[ROW][C]136[/C][C]50[/C][C]54.2282[/C][C]-4.22825[/C][/ROW]
[ROW][C]137[/C][C]63[/C][C]55.7606[/C][C]7.23935[/C][/ROW]
[ROW][C]138[/C][C]33[/C][C]54.727[/C][C]-21.727[/C][/ROW]
[ROW][C]139[/C][C]67[/C][C]52.6803[/C][C]14.3197[/C][/ROW]
[ROW][C]140[/C][C]46[/C][C]52.013[/C][C]-6.01304[/C][/ROW]
[ROW][C]141[/C][C]54[/C][C]54.7608[/C][C]-0.760789[/C][/ROW]
[ROW][C]142[/C][C]59[/C][C]54.8777[/C][C]4.12227[/C][/ROW]
[ROW][C]143[/C][C]61[/C][C]53.1314[/C][C]7.86865[/C][/ROW]
[ROW][C]144[/C][C]33[/C][C]53.1781[/C][C]-20.1781[/C][/ROW]
[ROW][C]145[/C][C]47[/C][C]53.3313[/C][C]-6.33127[/C][/ROW]
[ROW][C]146[/C][C]69[/C][C]54.5084[/C][C]14.4916[/C][/ROW]
[ROW][C]147[/C][C]52[/C][C]53.5186[/C][C]-1.51863[/C][/ROW]
[ROW][C]148[/C][C]55[/C][C]53.5798[/C][C]1.42023[/C][/ROW]
[ROW][C]149[/C][C]55[/C][C]53.7337[/C][C]1.26626[/C][/ROW]
[ROW][C]150[/C][C]41[/C][C]53.4268[/C][C]-12.4268[/C][/ROW]
[ROW][C]151[/C][C]73[/C][C]53.4428[/C][C]19.5572[/C][/ROW]
[ROW][C]152[/C][C]51[/C][C]52.6242[/C][C]-1.62424[/C][/ROW]
[ROW][C]153[/C][C]52[/C][C]53.711[/C][C]-1.71096[/C][/ROW]
[ROW][C]154[/C][C]50[/C][C]53.9843[/C][C]-3.98428[/C][/ROW]
[ROW][C]155[/C][C]51[/C][C]54.2394[/C][C]-3.23942[/C][/ROW]
[ROW][C]156[/C][C]60[/C][C]54.071[/C][C]5.92903[/C][/ROW]
[ROW][C]157[/C][C]56[/C][C]52.7293[/C][C]3.27073[/C][/ROW]
[ROW][C]158[/C][C]56[/C][C]53.3473[/C][C]2.65265[/C][/ROW]
[ROW][C]159[/C][C]29[/C][C]52.3829[/C][C]-23.3829[/C][/ROW]
[ROW][C]160[/C][C]66[/C][C]52.9171[/C][C]13.0829[/C][/ROW]
[ROW][C]161[/C][C]66[/C][C]51.8732[/C][C]14.1268[/C][/ROW]
[ROW][C]162[/C][C]73[/C][C]54.1125[/C][C]18.8875[/C][/ROW]
[ROW][C]163[/C][C]55[/C][C]52.7469[/C][C]2.25305[/C][/ROW]
[ROW][C]164[/C][C]64[/C][C]54.1247[/C][C]9.87534[/C][/ROW]
[ROW][C]165[/C][C]40[/C][C]50.2339[/C][C]-10.2339[/C][/ROW]
[ROW][C]166[/C][C]46[/C][C]52.1351[/C][C]-6.13511[/C][/ROW]
[ROW][C]167[/C][C]58[/C][C]52.6522[/C][C]5.34777[/C][/ROW]
[ROW][C]168[/C][C]43[/C][C]54.6647[/C][C]-11.6647[/C][/ROW]
[ROW][C]169[/C][C]61[/C][C]53.4561[/C][C]7.5439[/C][/ROW]
[ROW][C]170[/C][C]51[/C][C]52.2119[/C][C]-1.21188[/C][/ROW]
[ROW][C]171[/C][C]50[/C][C]52.7164[/C][C]-2.71637[/C][/ROW]
[ROW][C]172[/C][C]52[/C][C]52.1598[/C][C]-0.159846[/C][/ROW]
[ROW][C]173[/C][C]54[/C][C]52.5833[/C][C]1.41667[/C][/ROW]
[ROW][C]174[/C][C]66[/C][C]53.1924[/C][C]12.8076[/C][/ROW]
[ROW][C]175[/C][C]61[/C][C]53.5969[/C][C]7.40305[/C][/ROW]
[ROW][C]176[/C][C]80[/C][C]53.1591[/C][C]26.8409[/C][/ROW]
[ROW][C]177[/C][C]51[/C][C]51.9935[/C][C]-0.993492[/C][/ROW]
[ROW][C]178[/C][C]56[/C][C]53.5523[/C][C]2.44767[/C][/ROW]
[ROW][C]179[/C][C]56[/C][C]53.0961[/C][C]2.90388[/C][/ROW]
[ROW][C]180[/C][C]56[/C][C]53.5886[/C][C]2.41144[/C][/ROW]
[ROW][C]181[/C][C]53[/C][C]50.9718[/C][C]2.02821[/C][/ROW]
[ROW][C]182[/C][C]47[/C][C]54.9555[/C][C]-7.95551[/C][/ROW]
[ROW][C]183[/C][C]25[/C][C]52.7996[/C][C]-27.7996[/C][/ROW]
[ROW][C]184[/C][C]47[/C][C]52.8982[/C][C]-5.89819[/C][/ROW]
[ROW][C]185[/C][C]46[/C][C]55.697[/C][C]-9.69703[/C][/ROW]
[ROW][C]186[/C][C]50[/C][C]52.0771[/C][C]-2.07712[/C][/ROW]
[ROW][C]187[/C][C]39[/C][C]53.5873[/C][C]-14.5873[/C][/ROW]
[ROW][C]188[/C][C]51[/C][C]53.6506[/C][C]-2.65058[/C][/ROW]
[ROW][C]189[/C][C]58[/C][C]52.6966[/C][C]5.30337[/C][/ROW]
[ROW][C]190[/C][C]35[/C][C]53.4209[/C][C]-18.4209[/C][/ROW]
[ROW][C]191[/C][C]58[/C][C]52.9534[/C][C]5.0466[/C][/ROW]
[ROW][C]192[/C][C]60[/C][C]52.6504[/C][C]7.34961[/C][/ROW]
[ROW][C]193[/C][C]62[/C][C]53.12[/C][C]8.87997[/C][/ROW]
[ROW][C]194[/C][C]63[/C][C]52.6759[/C][C]10.3241[/C][/ROW]
[ROW][C]195[/C][C]53[/C][C]53.8367[/C][C]-0.83673[/C][/ROW]
[ROW][C]196[/C][C]46[/C][C]52.3868[/C][C]-6.38675[/C][/ROW]
[ROW][C]197[/C][C]67[/C][C]52.4259[/C][C]14.5741[/C][/ROW]
[ROW][C]198[/C][C]59[/C][C]52.941[/C][C]6.05904[/C][/ROW]
[ROW][C]199[/C][C]64[/C][C]52.4792[/C][C]11.5208[/C][/ROW]
[ROW][C]200[/C][C]38[/C][C]52.3242[/C][C]-14.3242[/C][/ROW]
[ROW][C]201[/C][C]50[/C][C]52.3973[/C][C]-2.39734[/C][/ROW]
[ROW][C]202[/C][C]48[/C][C]54.1077[/C][C]-6.10773[/C][/ROW]
[ROW][C]203[/C][C]48[/C][C]52.8469[/C][C]-4.84694[/C][/ROW]
[ROW][C]204[/C][C]47[/C][C]52.9618[/C][C]-5.96184[/C][/ROW]
[ROW][C]205[/C][C]66[/C][C]53.0527[/C][C]12.9473[/C][/ROW]
[ROW][C]206[/C][C]47[/C][C]54.1753[/C][C]-7.17534[/C][/ROW]
[ROW][C]207[/C][C]63[/C][C]52.5112[/C][C]10.4888[/C][/ROW]
[ROW][C]208[/C][C]58[/C][C]53.8144[/C][C]4.18558[/C][/ROW]
[ROW][C]209[/C][C]44[/C][C]52.115[/C][C]-8.11501[/C][/ROW]
[ROW][C]210[/C][C]51[/C][C]53.0405[/C][C]-2.0405[/C][/ROW]
[ROW][C]211[/C][C]43[/C][C]53.0187[/C][C]-10.0187[/C][/ROW]
[ROW][C]212[/C][C]55[/C][C]55.4028[/C][C]-0.402791[/C][/ROW]
[ROW][C]213[/C][C]38[/C][C]51.4517[/C][C]-13.4517[/C][/ROW]
[ROW][C]214[/C][C]56[/C][C]53.777[/C][C]2.22305[/C][/ROW]
[ROW][C]215[/C][C]45[/C][C]51.696[/C][C]-6.69602[/C][/ROW]
[ROW][C]216[/C][C]50[/C][C]52.5263[/C][C]-2.5263[/C][/ROW]
[ROW][C]217[/C][C]54[/C][C]52.7423[/C][C]1.25765[/C][/ROW]
[ROW][C]218[/C][C]57[/C][C]53.53[/C][C]3.46997[/C][/ROW]
[ROW][C]219[/C][C]60[/C][C]53.5246[/C][C]6.47538[/C][/ROW]
[ROW][C]220[/C][C]55[/C][C]51.7875[/C][C]3.21249[/C][/ROW]
[ROW][C]221[/C][C]56[/C][C]52.9846[/C][C]3.01539[/C][/ROW]
[ROW][C]222[/C][C]49[/C][C]54.8213[/C][C]-5.82131[/C][/ROW]
[ROW][C]223[/C][C]37[/C][C]53.2469[/C][C]-16.2469[/C][/ROW]
[ROW][C]224[/C][C]43[/C][C]54.7927[/C][C]-11.7927[/C][/ROW]
[ROW][C]225[/C][C]59[/C][C]53.7243[/C][C]5.27572[/C][/ROW]
[ROW][C]226[/C][C]46[/C][C]53.6188[/C][C]-7.61879[/C][/ROW]
[ROW][C]227[/C][C]51[/C][C]53.5507[/C][C]-2.55068[/C][/ROW]
[ROW][C]228[/C][C]58[/C][C]52.7451[/C][C]5.25487[/C][/ROW]
[ROW][C]229[/C][C]64[/C][C]52.366[/C][C]11.634[/C][/ROW]
[ROW][C]230[/C][C]53[/C][C]53.761[/C][C]-0.761039[/C][/ROW]
[ROW][C]231[/C][C]48[/C][C]53.379[/C][C]-5.37903[/C][/ROW]
[ROW][C]232[/C][C]51[/C][C]52.1973[/C][C]-1.19734[/C][/ROW]
[ROW][C]233[/C][C]47[/C][C]53.0069[/C][C]-6.00692[/C][/ROW]
[ROW][C]234[/C][C]59[/C][C]53.4444[/C][C]5.55562[/C][/ROW]
[ROW][C]235[/C][C]62[/C][C]53.4903[/C][C]8.50965[/C][/ROW]
[ROW][C]236[/C][C]62[/C][C]53.8819[/C][C]8.1181[/C][/ROW]
[ROW][C]237[/C][C]51[/C][C]54.5171[/C][C]-3.51712[/C][/ROW]
[ROW][C]238[/C][C]64[/C][C]52.6454[/C][C]11.3546[/C][/ROW]
[ROW][C]239[/C][C]52[/C][C]53.3968[/C][C]-1.39681[/C][/ROW]
[ROW][C]240[/C][C]67[/C][C]53.8906[/C][C]13.1094[/C][/ROW]
[ROW][C]241[/C][C]50[/C][C]53.8395[/C][C]-3.83951[/C][/ROW]
[ROW][C]242[/C][C]54[/C][C]53.9696[/C][C]0.0303646[/C][/ROW]
[ROW][C]243[/C][C]58[/C][C]53.5724[/C][C]4.4276[/C][/ROW]
[ROW][C]244[/C][C]56[/C][C]51.4476[/C][C]4.55245[/C][/ROW]
[ROW][C]245[/C][C]63[/C][C]53.6603[/C][C]9.33975[/C][/ROW]
[ROW][C]246[/C][C]31[/C][C]53.8441[/C][C]-22.8441[/C][/ROW]
[ROW][C]247[/C][C]65[/C][C]52.6209[/C][C]12.3791[/C][/ROW]
[ROW][C]248[/C][C]71[/C][C]53.5372[/C][C]17.4628[/C][/ROW]
[ROW][C]249[/C][C]50[/C][C]53.6089[/C][C]-3.60891[/C][/ROW]
[ROW][C]250[/C][C]57[/C][C]53.1979[/C][C]3.80207[/C][/ROW]
[ROW][C]251[/C][C]47[/C][C]52.9251[/C][C]-5.92511[/C][/ROW]
[ROW][C]252[/C][C]54[/C][C]52.7015[/C][C]1.29852[/C][/ROW]
[ROW][C]253[/C][C]47[/C][C]52.9377[/C][C]-5.93774[/C][/ROW]
[ROW][C]254[/C][C]57[/C][C]51.9043[/C][C]5.09574[/C][/ROW]
[ROW][C]255[/C][C]43[/C][C]53.6997[/C][C]-10.6997[/C][/ROW]
[ROW][C]256[/C][C]41[/C][C]52.5258[/C][C]-11.5258[/C][/ROW]
[ROW][C]257[/C][C]63[/C][C]53.2245[/C][C]9.77555[/C][/ROW]
[ROW][C]258[/C][C]63[/C][C]53.1881[/C][C]9.81186[/C][/ROW]
[ROW][C]259[/C][C]56[/C][C]52.2898[/C][C]3.71017[/C][/ROW]
[ROW][C]260[/C][C]51[/C][C]52.816[/C][C]-1.81602[/C][/ROW]
[ROW][C]261[/C][C]50[/C][C]52.1351[/C][C]-2.13511[/C][/ROW]
[ROW][C]262[/C][C]22[/C][C]52.8856[/C][C]-30.8856[/C][/ROW]
[ROW][C]263[/C][C]41[/C][C]52.3007[/C][C]-11.3007[/C][/ROW]
[ROW][C]264[/C][C]59[/C][C]52.3587[/C][C]6.64129[/C][/ROW]
[ROW][C]265[/C][C]56[/C][C]52.5214[/C][C]3.47858[/C][/ROW]
[ROW][C]266[/C][C]66[/C][C]55.1927[/C][C]10.8073[/C][/ROW]
[ROW][C]267[/C][C]53[/C][C]53.2529[/C][C]-0.252853[/C][/ROW]
[ROW][C]268[/C][C]42[/C][C]52.181[/C][C]-10.181[/C][/ROW]
[ROW][C]269[/C][C]52[/C][C]53.3257[/C][C]-1.3257[/C][/ROW]
[ROW][C]270[/C][C]54[/C][C]53.0384[/C][C]0.961563[/C][/ROW]
[ROW][C]271[/C][C]44[/C][C]53.1602[/C][C]-9.1602[/C][/ROW]
[ROW][C]272[/C][C]62[/C][C]52.8493[/C][C]9.15075[/C][/ROW]
[ROW][C]273[/C][C]53[/C][C]52.3369[/C][C]0.663129[/C][/ROW]
[ROW][C]274[/C][C]50[/C][C]52.0249[/C][C]-2.02493[/C][/ROW]
[ROW][C]275[/C][C]36[/C][C]52.3711[/C][C]-16.3711[/C][/ROW]
[ROW][C]276[/C][C]76[/C][C]52.9918[/C][C]23.0082[/C][/ROW]
[ROW][C]277[/C][C]66[/C][C]52.8959[/C][C]13.1041[/C][/ROW]
[ROW][C]278[/C][C]62[/C][C]53.4927[/C][C]8.50734[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266225&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266225&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
12652.784-26.784
25154.046-3.04596
35753.63613.3639
43751.8941-14.8941
56753.1913.81
64351.7779-8.77794
75252.5314-0.531376
85251.50580.494213
94351.5013-8.50126
108453.235130.7649
116754.520912.4791
124952.1237-3.12372
137054.0415.96
145251.31460.685412
155853.89614.10388
166853.59114.409
176253.33718.66286
184353.0868-10.0868
195652.70773.29226
205652.80153.19851
217454.662319.3377
226552.094712.9053
236352.907910.0921
245853.13164.8684
255753.09183.90816
266351.948511.0515
275350.21952.78049
285753.00233.99766
295151.5968-0.596786
306453.418710.5813
315353.5102-0.510197
322953.5906-24.5906
335453.28510.714861
345151.7445-0.744465
355852.72735.27274
364354.2947-11.2947
375154.0186-3.01861
385353.6922-0.692186
395451.20682.79322
405652.43743.5626
416153.27747.72264
424752.451-5.45097
433952.7712-13.7712
444853.2391-5.23915
455054.8461-4.8461
463552.5503-17.5503
473053.1732-23.1732
486852.065315.9347
494954.0535-5.05352
506153.00397.99606
516753.646713.3533
524754.6917-7.69169
535653.41082.58918
545053.4303-3.43035
554353.3989-10.3989
566753.106713.8933
576254.25897.74111
585753.20323.79676
594155.1238-14.1238
605453.31240.687562
614552.0028-7.00278
624852.5907-4.59066
636153.81257.18754
645652.27583.72424
654153.1127-12.1127
664353.6205-10.6205
675351.2041.79598
684451.5837-7.58371
696652.579213.4208
705853.67154.32849
714651.6582-5.65822
723752.3514-15.3514
735153.4274-2.42742
745152.6999-1.69991
755652.08293.91709
764553.1155-8.1155
773753.4039-16.4039
785952.6766.32403
794253.3224-11.3224
803852.6593-14.6593
816652.76213.238
823453.0796-19.0796
835352.97230.0277157
844953.0946-4.09461
855552.01792.98211
864951.4777-2.47772
875952.51996.48009
884052.3645-12.3645
895852.57995.42009
906052.92077.07928
916353.63179.36831
925653.0582.94196
935452.34961.65044
945253.1001-1.10007
953453.8035-19.8035
966953.03515.965
973252.242-20.242
984853.2979-5.29794
996754.378712.6213
1005852.08235.91769
1015754.99072.0093
1024253.9844-11.9844
1036453.798210.2018
1045852.94865.05137
1056652.691113.3089
1062652.1542-26.1542
1076153.27757.72252
1085252.474-0.47397
1095153.3922-2.39224
1105552.5612.43895
1115053.3796-3.37955
1126054.21515.7849
1135652.78243.21756
1146352.719410.2806
1156152.67178.32827
1165253.9052-1.9052
1171651.5651-35.5651
1184655.0731-9.07315
1195651.52944.47061
1205250.39461.60544
1215548.62756.3725
1225055.0741-5.07406
1235953.07175.92828
1246054.54475.45533
1255252.9599-0.959876
1264453.976-9.97603
1276753.673313.3267
1285250.04281.95724
1295550.8044.19603
1303754.1114-17.1114
1315455.3888-1.38876
1327250.599921.4001
1335153.5963-2.59631
1344852.2171-4.21714
1356053.99996.00006
1365054.2282-4.22825
1376355.76067.23935
1383354.727-21.727
1396752.680314.3197
1404652.013-6.01304
1415454.7608-0.760789
1425954.87774.12227
1436153.13147.86865
1443353.1781-20.1781
1454753.3313-6.33127
1466954.508414.4916
1475253.5186-1.51863
1485553.57981.42023
1495553.73371.26626
1504153.4268-12.4268
1517353.442819.5572
1525152.6242-1.62424
1535253.711-1.71096
1545053.9843-3.98428
1555154.2394-3.23942
1566054.0715.92903
1575652.72933.27073
1585653.34732.65265
1592952.3829-23.3829
1606652.917113.0829
1616651.873214.1268
1627354.112518.8875
1635552.74692.25305
1646454.12479.87534
1654050.2339-10.2339
1664652.1351-6.13511
1675852.65225.34777
1684354.6647-11.6647
1696153.45617.5439
1705152.2119-1.21188
1715052.7164-2.71637
1725252.1598-0.159846
1735452.58331.41667
1746653.192412.8076
1756153.59697.40305
1768053.159126.8409
1775151.9935-0.993492
1785653.55232.44767
1795653.09612.90388
1805653.58862.41144
1815350.97182.02821
1824754.9555-7.95551
1832552.7996-27.7996
1844752.8982-5.89819
1854655.697-9.69703
1865052.0771-2.07712
1873953.5873-14.5873
1885153.6506-2.65058
1895852.69665.30337
1903553.4209-18.4209
1915852.95345.0466
1926052.65047.34961
1936253.128.87997
1946352.675910.3241
1955353.8367-0.83673
1964652.3868-6.38675
1976752.425914.5741
1985952.9416.05904
1996452.479211.5208
2003852.3242-14.3242
2015052.3973-2.39734
2024854.1077-6.10773
2034852.8469-4.84694
2044752.9618-5.96184
2056653.052712.9473
2064754.1753-7.17534
2076352.511210.4888
2085853.81444.18558
2094452.115-8.11501
2105153.0405-2.0405
2114353.0187-10.0187
2125555.4028-0.402791
2133851.4517-13.4517
2145653.7772.22305
2154551.696-6.69602
2165052.5263-2.5263
2175452.74231.25765
2185753.533.46997
2196053.52466.47538
2205551.78753.21249
2215652.98463.01539
2224954.8213-5.82131
2233753.2469-16.2469
2244354.7927-11.7927
2255953.72435.27572
2264653.6188-7.61879
2275153.5507-2.55068
2285852.74515.25487
2296452.36611.634
2305353.761-0.761039
2314853.379-5.37903
2325152.1973-1.19734
2334753.0069-6.00692
2345953.44445.55562
2356253.49038.50965
2366253.88198.1181
2375154.5171-3.51712
2386452.645411.3546
2395253.3968-1.39681
2406753.890613.1094
2415053.8395-3.83951
2425453.96960.0303646
2435853.57244.4276
2445651.44764.55245
2456353.66039.33975
2463153.8441-22.8441
2476552.620912.3791
2487153.537217.4628
2495053.6089-3.60891
2505753.19793.80207
2514752.9251-5.92511
2525452.70151.29852
2534752.9377-5.93774
2545751.90435.09574
2554353.6997-10.6997
2564152.5258-11.5258
2576353.22459.77555
2586353.18819.81186
2595652.28983.71017
2605152.816-1.81602
2615052.1351-2.13511
2622252.8856-30.8856
2634152.3007-11.3007
2645952.35876.64129
2655652.52143.47858
2666655.192710.8073
2675353.2529-0.252853
2684252.181-10.181
2695253.3257-1.3257
2705453.03840.961563
2714453.1602-9.1602
2726252.84939.15075
2735352.33690.663129
2745052.0249-2.02493
2753652.3711-16.3711
2767652.991823.0082
2776652.895913.1041
2786253.49278.50734






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.9258070.1483860.0741931
80.9378470.1243070.0621534
90.8898720.2202550.110128
100.9846630.03067350.0153368
110.9728390.05432280.0271614
120.9601940.07961170.0398059
130.9460160.1079680.0539841
140.9364290.1271430.0635713
150.9148280.1703430.0851717
160.9199150.1601690.0800846
170.8885630.2228730.111437
180.8965720.2068560.103428
190.8634170.2731650.136583
200.8289960.3420090.171004
210.7960290.4079430.203971
220.8358190.3283610.164181
230.8260920.3478150.173908
240.7832440.4335120.216756
250.7355140.5289710.264486
260.7665320.4669360.233468
270.7675760.4648470.232424
280.7309660.5380680.269034
290.6919240.6161520.308076
300.6635420.6729170.336458
310.6378590.7242820.362141
320.8958290.2083430.104171
330.8709380.2581240.129062
340.8441440.3117130.155856
350.8161480.3677050.183852
360.8824740.2350530.117526
370.8667450.2665090.133255
380.8393980.3212050.160602
390.8102570.3794860.189743
400.7782610.4434780.221739
410.7464770.5070460.253523
420.7184390.5631220.281561
430.7479220.5041550.252078
440.7225610.5548780.277439
450.7049670.5900670.295033
460.7772350.445530.222765
470.8836540.2326910.116346
480.8975090.2049810.102491
490.8787730.2424530.121227
500.8774830.2450340.122517
510.8882350.2235290.111765
520.8971190.2057620.102881
530.8771190.2457620.122881
540.8553280.2893430.144672
550.8496010.3007980.150399
560.8617520.2764960.138248
570.8422450.315510.157755
580.8233440.3533120.176656
590.8621080.2757830.137892
600.8385210.3229570.161479
610.828610.342780.17139
620.8046660.3906680.195334
630.783110.4337790.21689
640.7639450.4721090.236055
650.7815970.4368050.218403
660.7872030.4255950.212797
670.757620.484760.24238
680.738330.5233390.26167
690.7704650.459070.229535
700.7452420.5095170.254758
710.7206280.5587430.279372
720.7499170.5001660.250083
730.7204780.5590440.279522
740.6868040.6263920.313196
750.6611580.6776850.338842
760.6448980.7102030.355102
770.6872170.6255660.312783
780.6707250.6585510.329275
790.6770230.6459540.322977
800.7159730.5680530.284027
810.7391180.5217640.260882
820.7885710.4228580.211429
830.7603820.4792350.239618
840.7368240.5263520.263176
850.710410.579180.28959
860.6784010.6431980.321599
870.6617750.676450.338225
880.6659390.6681220.334061
890.6432780.7134440.356722
900.6355420.7289170.364458
910.6366170.7267670.363383
920.603590.792820.39641
930.5697560.8604870.430244
940.5338130.9323750.466187
950.6326070.7347860.367393
960.6818850.636230.318115
970.7647510.4704980.235249
980.7418530.5162930.258147
990.7581950.483610.241805
1000.7392120.5215750.260788
1010.7100520.5798960.289948
1020.7210530.5578940.278947
1030.7186030.5627950.281397
1040.6951630.6096750.304837
1050.7200140.5599710.279986
1060.8510830.2978340.148917
1070.8420170.3159660.157983
1080.8201850.3596290.179815
1090.7976560.4046880.202344
1100.7738310.4523380.226169
1110.7495930.5008130.250407
1120.7288320.5423350.271168
1130.7022930.5954140.297707
1140.7024440.5951120.297556
1150.6909520.6180960.309048
1160.6617430.6765140.338257
1170.9099090.1801810.0900907
1180.9080590.1838810.0919406
1190.8971840.2056330.102816
1200.8825490.2349030.117451
1210.8737090.2525820.126291
1220.8593310.2813380.140669
1230.8464130.3071740.153587
1240.8315150.336970.168485
1250.8093150.3813710.190685
1260.8079060.3841880.192094
1270.8232690.3534620.176731
1280.8018180.3963650.198182
1290.7801540.4396930.219846
1300.8226930.3546150.177307
1310.7997330.4005340.200267
1320.8649330.2701330.135067
1330.8467240.3065510.153276
1340.8293580.3412830.170642
1350.8140530.3718950.185947
1360.7948820.4102350.205118
1370.7820250.435950.217975
1380.862720.274560.13728
1390.8793530.2412950.120647
1400.8682410.2635170.131759
1410.8493760.3012480.150624
1420.8316490.3367030.168351
1430.8210780.3578440.178922
1440.8781320.2437360.121868
1450.8669930.2660150.133007
1460.8852750.2294510.114725
1470.8680970.2638060.131903
1480.8489950.302010.151005
1490.828030.343940.17197
1500.8367990.3264030.163201
1510.884020.231960.11598
1520.8665060.2669880.133494
1530.8472620.3054770.152738
1540.8288550.3422910.171145
1550.8084020.3831950.191598
1560.7918970.4162060.208103
1570.7703140.4593730.229686
1580.7449760.5100470.255024
1590.8459820.3080350.154018
1600.8575290.2849410.142471
1610.8761310.2477370.123869
1620.914810.1703790.0851896
1630.9012230.1975540.0987768
1640.9007950.198410.0992052
1650.9016560.1966880.0983438
1660.8935580.2128840.106442
1670.8818620.2362770.118138
1680.8849970.2300060.115003
1690.877360.245280.12264
1700.8592030.2815930.140797
1710.8397380.3205240.160262
1720.8169750.3660510.183025
1730.7925850.4148310.207415
1740.8082520.3834960.191748
1750.7982530.4034930.201747
1760.9216240.1567520.0783762
1770.9078810.1842380.0921189
1780.8956280.2087430.104372
1790.8802640.2394720.119736
1800.8615680.2768650.138432
1810.8405680.3188650.159432
1820.8289470.3421060.171053
1830.9348520.1302960.0651482
1840.9265510.1468980.0734489
1850.9248770.1502460.075123
1860.9113420.1773160.0886579
1870.9234590.1530820.0765409
1880.910580.178840.0894202
1890.8984680.2030630.101532
1900.9340010.1319970.0659986
1910.9235440.1529120.0764559
1920.9175080.1649850.0824924
1930.9139750.1720490.0860246
1940.9184640.1630730.0815364
1950.9030490.1939010.0969506
1960.8921560.2156880.107844
1970.9102370.1795260.0897631
1980.8999250.200150.100075
1990.908060.183880.0919399
2000.9207680.1584640.079232
2010.9061690.1876620.0938309
2020.8953250.2093510.104675
2030.8800640.2398730.119936
2040.864850.27030.13515
2050.8807670.2384660.119233
2060.8746350.250730.125365
2070.8769150.246170.123085
2080.8595950.280810.140405
2090.8476560.3046890.152344
2100.8248360.3503280.175164
2110.821570.356860.17843
2120.7965490.4069020.203451
2130.8231680.3536640.176832
2140.7967090.4065830.203291
2150.7813130.4373740.218687
2160.7511010.4977990.248899
2170.716280.567440.28372
2180.6875150.624970.312485
2190.6601580.6796840.339842
2200.6221910.7556180.377809
2210.5830380.8339250.416962
2220.5667670.8664660.433233
2230.6249380.7501230.375062
2240.636660.726680.36334
2250.6036630.7926750.396337
2260.5848010.8303970.415199
2270.5407490.9185030.459251
2280.5041290.9917410.495871
2290.5265770.9468470.473423
2300.4800240.9600480.519976
2310.4443910.8887820.555609
2320.3982140.7964270.601786
2330.369650.7392990.63035
2340.3322720.6645440.667728
2350.3088240.6176480.691176
2360.2781790.5563570.721821
2370.2493160.4986310.750684
2380.2530860.5061720.746914
2390.2168080.4336150.783192
2400.2232380.4464760.776762
2410.1944880.3889750.805512
2420.1618380.3236760.838162
2430.134920.2698390.86508
2440.1288840.2577680.871116
2450.1189690.2379390.881031
2460.2640320.5280640.735968
2470.2958360.5916730.704164
2480.3563950.7127910.643605
2490.3130940.6261880.686906
2500.2660580.5321160.733942
2510.2352030.4704060.764797
2520.1919460.3838920.808054
2530.1623590.3247190.837641
2540.1503820.3007630.849618
2550.1794720.3589440.820528
2560.1764280.3528560.823572
2570.1555560.3111120.844444
2580.1462570.2925140.853743
2590.1168020.2336040.883198
2600.08496040.1699210.91504
2610.06230450.1246090.937696
2620.4225360.8450710.577464
2630.502110.995780.49789
2640.436510.873020.56349
2650.3726340.7452680.627366
2660.7972320.4055360.202768
2670.7650610.4698790.234939
2680.7343780.5312440.265622
2690.7292290.5415420.270771
2700.6087420.7825160.391258
2710.4452470.8904940.554753

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
7 & 0.925807 & 0.148386 & 0.0741931 \tabularnewline
8 & 0.937847 & 0.124307 & 0.0621534 \tabularnewline
9 & 0.889872 & 0.220255 & 0.110128 \tabularnewline
10 & 0.984663 & 0.0306735 & 0.0153368 \tabularnewline
11 & 0.972839 & 0.0543228 & 0.0271614 \tabularnewline
12 & 0.960194 & 0.0796117 & 0.0398059 \tabularnewline
13 & 0.946016 & 0.107968 & 0.0539841 \tabularnewline
14 & 0.936429 & 0.127143 & 0.0635713 \tabularnewline
15 & 0.914828 & 0.170343 & 0.0851717 \tabularnewline
16 & 0.919915 & 0.160169 & 0.0800846 \tabularnewline
17 & 0.888563 & 0.222873 & 0.111437 \tabularnewline
18 & 0.896572 & 0.206856 & 0.103428 \tabularnewline
19 & 0.863417 & 0.273165 & 0.136583 \tabularnewline
20 & 0.828996 & 0.342009 & 0.171004 \tabularnewline
21 & 0.796029 & 0.407943 & 0.203971 \tabularnewline
22 & 0.835819 & 0.328361 & 0.164181 \tabularnewline
23 & 0.826092 & 0.347815 & 0.173908 \tabularnewline
24 & 0.783244 & 0.433512 & 0.216756 \tabularnewline
25 & 0.735514 & 0.528971 & 0.264486 \tabularnewline
26 & 0.766532 & 0.466936 & 0.233468 \tabularnewline
27 & 0.767576 & 0.464847 & 0.232424 \tabularnewline
28 & 0.730966 & 0.538068 & 0.269034 \tabularnewline
29 & 0.691924 & 0.616152 & 0.308076 \tabularnewline
30 & 0.663542 & 0.672917 & 0.336458 \tabularnewline
31 & 0.637859 & 0.724282 & 0.362141 \tabularnewline
32 & 0.895829 & 0.208343 & 0.104171 \tabularnewline
33 & 0.870938 & 0.258124 & 0.129062 \tabularnewline
34 & 0.844144 & 0.311713 & 0.155856 \tabularnewline
35 & 0.816148 & 0.367705 & 0.183852 \tabularnewline
36 & 0.882474 & 0.235053 & 0.117526 \tabularnewline
37 & 0.866745 & 0.266509 & 0.133255 \tabularnewline
38 & 0.839398 & 0.321205 & 0.160602 \tabularnewline
39 & 0.810257 & 0.379486 & 0.189743 \tabularnewline
40 & 0.778261 & 0.443478 & 0.221739 \tabularnewline
41 & 0.746477 & 0.507046 & 0.253523 \tabularnewline
42 & 0.718439 & 0.563122 & 0.281561 \tabularnewline
43 & 0.747922 & 0.504155 & 0.252078 \tabularnewline
44 & 0.722561 & 0.554878 & 0.277439 \tabularnewline
45 & 0.704967 & 0.590067 & 0.295033 \tabularnewline
46 & 0.777235 & 0.44553 & 0.222765 \tabularnewline
47 & 0.883654 & 0.232691 & 0.116346 \tabularnewline
48 & 0.897509 & 0.204981 & 0.102491 \tabularnewline
49 & 0.878773 & 0.242453 & 0.121227 \tabularnewline
50 & 0.877483 & 0.245034 & 0.122517 \tabularnewline
51 & 0.888235 & 0.223529 & 0.111765 \tabularnewline
52 & 0.897119 & 0.205762 & 0.102881 \tabularnewline
53 & 0.877119 & 0.245762 & 0.122881 \tabularnewline
54 & 0.855328 & 0.289343 & 0.144672 \tabularnewline
55 & 0.849601 & 0.300798 & 0.150399 \tabularnewline
56 & 0.861752 & 0.276496 & 0.138248 \tabularnewline
57 & 0.842245 & 0.31551 & 0.157755 \tabularnewline
58 & 0.823344 & 0.353312 & 0.176656 \tabularnewline
59 & 0.862108 & 0.275783 & 0.137892 \tabularnewline
60 & 0.838521 & 0.322957 & 0.161479 \tabularnewline
61 & 0.82861 & 0.34278 & 0.17139 \tabularnewline
62 & 0.804666 & 0.390668 & 0.195334 \tabularnewline
63 & 0.78311 & 0.433779 & 0.21689 \tabularnewline
64 & 0.763945 & 0.472109 & 0.236055 \tabularnewline
65 & 0.781597 & 0.436805 & 0.218403 \tabularnewline
66 & 0.787203 & 0.425595 & 0.212797 \tabularnewline
67 & 0.75762 & 0.48476 & 0.24238 \tabularnewline
68 & 0.73833 & 0.523339 & 0.26167 \tabularnewline
69 & 0.770465 & 0.45907 & 0.229535 \tabularnewline
70 & 0.745242 & 0.509517 & 0.254758 \tabularnewline
71 & 0.720628 & 0.558743 & 0.279372 \tabularnewline
72 & 0.749917 & 0.500166 & 0.250083 \tabularnewline
73 & 0.720478 & 0.559044 & 0.279522 \tabularnewline
74 & 0.686804 & 0.626392 & 0.313196 \tabularnewline
75 & 0.661158 & 0.677685 & 0.338842 \tabularnewline
76 & 0.644898 & 0.710203 & 0.355102 \tabularnewline
77 & 0.687217 & 0.625566 & 0.312783 \tabularnewline
78 & 0.670725 & 0.658551 & 0.329275 \tabularnewline
79 & 0.677023 & 0.645954 & 0.322977 \tabularnewline
80 & 0.715973 & 0.568053 & 0.284027 \tabularnewline
81 & 0.739118 & 0.521764 & 0.260882 \tabularnewline
82 & 0.788571 & 0.422858 & 0.211429 \tabularnewline
83 & 0.760382 & 0.479235 & 0.239618 \tabularnewline
84 & 0.736824 & 0.526352 & 0.263176 \tabularnewline
85 & 0.71041 & 0.57918 & 0.28959 \tabularnewline
86 & 0.678401 & 0.643198 & 0.321599 \tabularnewline
87 & 0.661775 & 0.67645 & 0.338225 \tabularnewline
88 & 0.665939 & 0.668122 & 0.334061 \tabularnewline
89 & 0.643278 & 0.713444 & 0.356722 \tabularnewline
90 & 0.635542 & 0.728917 & 0.364458 \tabularnewline
91 & 0.636617 & 0.726767 & 0.363383 \tabularnewline
92 & 0.60359 & 0.79282 & 0.39641 \tabularnewline
93 & 0.569756 & 0.860487 & 0.430244 \tabularnewline
94 & 0.533813 & 0.932375 & 0.466187 \tabularnewline
95 & 0.632607 & 0.734786 & 0.367393 \tabularnewline
96 & 0.681885 & 0.63623 & 0.318115 \tabularnewline
97 & 0.764751 & 0.470498 & 0.235249 \tabularnewline
98 & 0.741853 & 0.516293 & 0.258147 \tabularnewline
99 & 0.758195 & 0.48361 & 0.241805 \tabularnewline
100 & 0.739212 & 0.521575 & 0.260788 \tabularnewline
101 & 0.710052 & 0.579896 & 0.289948 \tabularnewline
102 & 0.721053 & 0.557894 & 0.278947 \tabularnewline
103 & 0.718603 & 0.562795 & 0.281397 \tabularnewline
104 & 0.695163 & 0.609675 & 0.304837 \tabularnewline
105 & 0.720014 & 0.559971 & 0.279986 \tabularnewline
106 & 0.851083 & 0.297834 & 0.148917 \tabularnewline
107 & 0.842017 & 0.315966 & 0.157983 \tabularnewline
108 & 0.820185 & 0.359629 & 0.179815 \tabularnewline
109 & 0.797656 & 0.404688 & 0.202344 \tabularnewline
110 & 0.773831 & 0.452338 & 0.226169 \tabularnewline
111 & 0.749593 & 0.500813 & 0.250407 \tabularnewline
112 & 0.728832 & 0.542335 & 0.271168 \tabularnewline
113 & 0.702293 & 0.595414 & 0.297707 \tabularnewline
114 & 0.702444 & 0.595112 & 0.297556 \tabularnewline
115 & 0.690952 & 0.618096 & 0.309048 \tabularnewline
116 & 0.661743 & 0.676514 & 0.338257 \tabularnewline
117 & 0.909909 & 0.180181 & 0.0900907 \tabularnewline
118 & 0.908059 & 0.183881 & 0.0919406 \tabularnewline
119 & 0.897184 & 0.205633 & 0.102816 \tabularnewline
120 & 0.882549 & 0.234903 & 0.117451 \tabularnewline
121 & 0.873709 & 0.252582 & 0.126291 \tabularnewline
122 & 0.859331 & 0.281338 & 0.140669 \tabularnewline
123 & 0.846413 & 0.307174 & 0.153587 \tabularnewline
124 & 0.831515 & 0.33697 & 0.168485 \tabularnewline
125 & 0.809315 & 0.381371 & 0.190685 \tabularnewline
126 & 0.807906 & 0.384188 & 0.192094 \tabularnewline
127 & 0.823269 & 0.353462 & 0.176731 \tabularnewline
128 & 0.801818 & 0.396365 & 0.198182 \tabularnewline
129 & 0.780154 & 0.439693 & 0.219846 \tabularnewline
130 & 0.822693 & 0.354615 & 0.177307 \tabularnewline
131 & 0.799733 & 0.400534 & 0.200267 \tabularnewline
132 & 0.864933 & 0.270133 & 0.135067 \tabularnewline
133 & 0.846724 & 0.306551 & 0.153276 \tabularnewline
134 & 0.829358 & 0.341283 & 0.170642 \tabularnewline
135 & 0.814053 & 0.371895 & 0.185947 \tabularnewline
136 & 0.794882 & 0.410235 & 0.205118 \tabularnewline
137 & 0.782025 & 0.43595 & 0.217975 \tabularnewline
138 & 0.86272 & 0.27456 & 0.13728 \tabularnewline
139 & 0.879353 & 0.241295 & 0.120647 \tabularnewline
140 & 0.868241 & 0.263517 & 0.131759 \tabularnewline
141 & 0.849376 & 0.301248 & 0.150624 \tabularnewline
142 & 0.831649 & 0.336703 & 0.168351 \tabularnewline
143 & 0.821078 & 0.357844 & 0.178922 \tabularnewline
144 & 0.878132 & 0.243736 & 0.121868 \tabularnewline
145 & 0.866993 & 0.266015 & 0.133007 \tabularnewline
146 & 0.885275 & 0.229451 & 0.114725 \tabularnewline
147 & 0.868097 & 0.263806 & 0.131903 \tabularnewline
148 & 0.848995 & 0.30201 & 0.151005 \tabularnewline
149 & 0.82803 & 0.34394 & 0.17197 \tabularnewline
150 & 0.836799 & 0.326403 & 0.163201 \tabularnewline
151 & 0.88402 & 0.23196 & 0.11598 \tabularnewline
152 & 0.866506 & 0.266988 & 0.133494 \tabularnewline
153 & 0.847262 & 0.305477 & 0.152738 \tabularnewline
154 & 0.828855 & 0.342291 & 0.171145 \tabularnewline
155 & 0.808402 & 0.383195 & 0.191598 \tabularnewline
156 & 0.791897 & 0.416206 & 0.208103 \tabularnewline
157 & 0.770314 & 0.459373 & 0.229686 \tabularnewline
158 & 0.744976 & 0.510047 & 0.255024 \tabularnewline
159 & 0.845982 & 0.308035 & 0.154018 \tabularnewline
160 & 0.857529 & 0.284941 & 0.142471 \tabularnewline
161 & 0.876131 & 0.247737 & 0.123869 \tabularnewline
162 & 0.91481 & 0.170379 & 0.0851896 \tabularnewline
163 & 0.901223 & 0.197554 & 0.0987768 \tabularnewline
164 & 0.900795 & 0.19841 & 0.0992052 \tabularnewline
165 & 0.901656 & 0.196688 & 0.0983438 \tabularnewline
166 & 0.893558 & 0.212884 & 0.106442 \tabularnewline
167 & 0.881862 & 0.236277 & 0.118138 \tabularnewline
168 & 0.884997 & 0.230006 & 0.115003 \tabularnewline
169 & 0.87736 & 0.24528 & 0.12264 \tabularnewline
170 & 0.859203 & 0.281593 & 0.140797 \tabularnewline
171 & 0.839738 & 0.320524 & 0.160262 \tabularnewline
172 & 0.816975 & 0.366051 & 0.183025 \tabularnewline
173 & 0.792585 & 0.414831 & 0.207415 \tabularnewline
174 & 0.808252 & 0.383496 & 0.191748 \tabularnewline
175 & 0.798253 & 0.403493 & 0.201747 \tabularnewline
176 & 0.921624 & 0.156752 & 0.0783762 \tabularnewline
177 & 0.907881 & 0.184238 & 0.0921189 \tabularnewline
178 & 0.895628 & 0.208743 & 0.104372 \tabularnewline
179 & 0.880264 & 0.239472 & 0.119736 \tabularnewline
180 & 0.861568 & 0.276865 & 0.138432 \tabularnewline
181 & 0.840568 & 0.318865 & 0.159432 \tabularnewline
182 & 0.828947 & 0.342106 & 0.171053 \tabularnewline
183 & 0.934852 & 0.130296 & 0.0651482 \tabularnewline
184 & 0.926551 & 0.146898 & 0.0734489 \tabularnewline
185 & 0.924877 & 0.150246 & 0.075123 \tabularnewline
186 & 0.911342 & 0.177316 & 0.0886579 \tabularnewline
187 & 0.923459 & 0.153082 & 0.0765409 \tabularnewline
188 & 0.91058 & 0.17884 & 0.0894202 \tabularnewline
189 & 0.898468 & 0.203063 & 0.101532 \tabularnewline
190 & 0.934001 & 0.131997 & 0.0659986 \tabularnewline
191 & 0.923544 & 0.152912 & 0.0764559 \tabularnewline
192 & 0.917508 & 0.164985 & 0.0824924 \tabularnewline
193 & 0.913975 & 0.172049 & 0.0860246 \tabularnewline
194 & 0.918464 & 0.163073 & 0.0815364 \tabularnewline
195 & 0.903049 & 0.193901 & 0.0969506 \tabularnewline
196 & 0.892156 & 0.215688 & 0.107844 \tabularnewline
197 & 0.910237 & 0.179526 & 0.0897631 \tabularnewline
198 & 0.899925 & 0.20015 & 0.100075 \tabularnewline
199 & 0.90806 & 0.18388 & 0.0919399 \tabularnewline
200 & 0.920768 & 0.158464 & 0.079232 \tabularnewline
201 & 0.906169 & 0.187662 & 0.0938309 \tabularnewline
202 & 0.895325 & 0.209351 & 0.104675 \tabularnewline
203 & 0.880064 & 0.239873 & 0.119936 \tabularnewline
204 & 0.86485 & 0.2703 & 0.13515 \tabularnewline
205 & 0.880767 & 0.238466 & 0.119233 \tabularnewline
206 & 0.874635 & 0.25073 & 0.125365 \tabularnewline
207 & 0.876915 & 0.24617 & 0.123085 \tabularnewline
208 & 0.859595 & 0.28081 & 0.140405 \tabularnewline
209 & 0.847656 & 0.304689 & 0.152344 \tabularnewline
210 & 0.824836 & 0.350328 & 0.175164 \tabularnewline
211 & 0.82157 & 0.35686 & 0.17843 \tabularnewline
212 & 0.796549 & 0.406902 & 0.203451 \tabularnewline
213 & 0.823168 & 0.353664 & 0.176832 \tabularnewline
214 & 0.796709 & 0.406583 & 0.203291 \tabularnewline
215 & 0.781313 & 0.437374 & 0.218687 \tabularnewline
216 & 0.751101 & 0.497799 & 0.248899 \tabularnewline
217 & 0.71628 & 0.56744 & 0.28372 \tabularnewline
218 & 0.687515 & 0.62497 & 0.312485 \tabularnewline
219 & 0.660158 & 0.679684 & 0.339842 \tabularnewline
220 & 0.622191 & 0.755618 & 0.377809 \tabularnewline
221 & 0.583038 & 0.833925 & 0.416962 \tabularnewline
222 & 0.566767 & 0.866466 & 0.433233 \tabularnewline
223 & 0.624938 & 0.750123 & 0.375062 \tabularnewline
224 & 0.63666 & 0.72668 & 0.36334 \tabularnewline
225 & 0.603663 & 0.792675 & 0.396337 \tabularnewline
226 & 0.584801 & 0.830397 & 0.415199 \tabularnewline
227 & 0.540749 & 0.918503 & 0.459251 \tabularnewline
228 & 0.504129 & 0.991741 & 0.495871 \tabularnewline
229 & 0.526577 & 0.946847 & 0.473423 \tabularnewline
230 & 0.480024 & 0.960048 & 0.519976 \tabularnewline
231 & 0.444391 & 0.888782 & 0.555609 \tabularnewline
232 & 0.398214 & 0.796427 & 0.601786 \tabularnewline
233 & 0.36965 & 0.739299 & 0.63035 \tabularnewline
234 & 0.332272 & 0.664544 & 0.667728 \tabularnewline
235 & 0.308824 & 0.617648 & 0.691176 \tabularnewline
236 & 0.278179 & 0.556357 & 0.721821 \tabularnewline
237 & 0.249316 & 0.498631 & 0.750684 \tabularnewline
238 & 0.253086 & 0.506172 & 0.746914 \tabularnewline
239 & 0.216808 & 0.433615 & 0.783192 \tabularnewline
240 & 0.223238 & 0.446476 & 0.776762 \tabularnewline
241 & 0.194488 & 0.388975 & 0.805512 \tabularnewline
242 & 0.161838 & 0.323676 & 0.838162 \tabularnewline
243 & 0.13492 & 0.269839 & 0.86508 \tabularnewline
244 & 0.128884 & 0.257768 & 0.871116 \tabularnewline
245 & 0.118969 & 0.237939 & 0.881031 \tabularnewline
246 & 0.264032 & 0.528064 & 0.735968 \tabularnewline
247 & 0.295836 & 0.591673 & 0.704164 \tabularnewline
248 & 0.356395 & 0.712791 & 0.643605 \tabularnewline
249 & 0.313094 & 0.626188 & 0.686906 \tabularnewline
250 & 0.266058 & 0.532116 & 0.733942 \tabularnewline
251 & 0.235203 & 0.470406 & 0.764797 \tabularnewline
252 & 0.191946 & 0.383892 & 0.808054 \tabularnewline
253 & 0.162359 & 0.324719 & 0.837641 \tabularnewline
254 & 0.150382 & 0.300763 & 0.849618 \tabularnewline
255 & 0.179472 & 0.358944 & 0.820528 \tabularnewline
256 & 0.176428 & 0.352856 & 0.823572 \tabularnewline
257 & 0.155556 & 0.311112 & 0.844444 \tabularnewline
258 & 0.146257 & 0.292514 & 0.853743 \tabularnewline
259 & 0.116802 & 0.233604 & 0.883198 \tabularnewline
260 & 0.0849604 & 0.169921 & 0.91504 \tabularnewline
261 & 0.0623045 & 0.124609 & 0.937696 \tabularnewline
262 & 0.422536 & 0.845071 & 0.577464 \tabularnewline
263 & 0.50211 & 0.99578 & 0.49789 \tabularnewline
264 & 0.43651 & 0.87302 & 0.56349 \tabularnewline
265 & 0.372634 & 0.745268 & 0.627366 \tabularnewline
266 & 0.797232 & 0.405536 & 0.202768 \tabularnewline
267 & 0.765061 & 0.469879 & 0.234939 \tabularnewline
268 & 0.734378 & 0.531244 & 0.265622 \tabularnewline
269 & 0.729229 & 0.541542 & 0.270771 \tabularnewline
270 & 0.608742 & 0.782516 & 0.391258 \tabularnewline
271 & 0.445247 & 0.890494 & 0.554753 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266225&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]7[/C][C]0.925807[/C][C]0.148386[/C][C]0.0741931[/C][/ROW]
[ROW][C]8[/C][C]0.937847[/C][C]0.124307[/C][C]0.0621534[/C][/ROW]
[ROW][C]9[/C][C]0.889872[/C][C]0.220255[/C][C]0.110128[/C][/ROW]
[ROW][C]10[/C][C]0.984663[/C][C]0.0306735[/C][C]0.0153368[/C][/ROW]
[ROW][C]11[/C][C]0.972839[/C][C]0.0543228[/C][C]0.0271614[/C][/ROW]
[ROW][C]12[/C][C]0.960194[/C][C]0.0796117[/C][C]0.0398059[/C][/ROW]
[ROW][C]13[/C][C]0.946016[/C][C]0.107968[/C][C]0.0539841[/C][/ROW]
[ROW][C]14[/C][C]0.936429[/C][C]0.127143[/C][C]0.0635713[/C][/ROW]
[ROW][C]15[/C][C]0.914828[/C][C]0.170343[/C][C]0.0851717[/C][/ROW]
[ROW][C]16[/C][C]0.919915[/C][C]0.160169[/C][C]0.0800846[/C][/ROW]
[ROW][C]17[/C][C]0.888563[/C][C]0.222873[/C][C]0.111437[/C][/ROW]
[ROW][C]18[/C][C]0.896572[/C][C]0.206856[/C][C]0.103428[/C][/ROW]
[ROW][C]19[/C][C]0.863417[/C][C]0.273165[/C][C]0.136583[/C][/ROW]
[ROW][C]20[/C][C]0.828996[/C][C]0.342009[/C][C]0.171004[/C][/ROW]
[ROW][C]21[/C][C]0.796029[/C][C]0.407943[/C][C]0.203971[/C][/ROW]
[ROW][C]22[/C][C]0.835819[/C][C]0.328361[/C][C]0.164181[/C][/ROW]
[ROW][C]23[/C][C]0.826092[/C][C]0.347815[/C][C]0.173908[/C][/ROW]
[ROW][C]24[/C][C]0.783244[/C][C]0.433512[/C][C]0.216756[/C][/ROW]
[ROW][C]25[/C][C]0.735514[/C][C]0.528971[/C][C]0.264486[/C][/ROW]
[ROW][C]26[/C][C]0.766532[/C][C]0.466936[/C][C]0.233468[/C][/ROW]
[ROW][C]27[/C][C]0.767576[/C][C]0.464847[/C][C]0.232424[/C][/ROW]
[ROW][C]28[/C][C]0.730966[/C][C]0.538068[/C][C]0.269034[/C][/ROW]
[ROW][C]29[/C][C]0.691924[/C][C]0.616152[/C][C]0.308076[/C][/ROW]
[ROW][C]30[/C][C]0.663542[/C][C]0.672917[/C][C]0.336458[/C][/ROW]
[ROW][C]31[/C][C]0.637859[/C][C]0.724282[/C][C]0.362141[/C][/ROW]
[ROW][C]32[/C][C]0.895829[/C][C]0.208343[/C][C]0.104171[/C][/ROW]
[ROW][C]33[/C][C]0.870938[/C][C]0.258124[/C][C]0.129062[/C][/ROW]
[ROW][C]34[/C][C]0.844144[/C][C]0.311713[/C][C]0.155856[/C][/ROW]
[ROW][C]35[/C][C]0.816148[/C][C]0.367705[/C][C]0.183852[/C][/ROW]
[ROW][C]36[/C][C]0.882474[/C][C]0.235053[/C][C]0.117526[/C][/ROW]
[ROW][C]37[/C][C]0.866745[/C][C]0.266509[/C][C]0.133255[/C][/ROW]
[ROW][C]38[/C][C]0.839398[/C][C]0.321205[/C][C]0.160602[/C][/ROW]
[ROW][C]39[/C][C]0.810257[/C][C]0.379486[/C][C]0.189743[/C][/ROW]
[ROW][C]40[/C][C]0.778261[/C][C]0.443478[/C][C]0.221739[/C][/ROW]
[ROW][C]41[/C][C]0.746477[/C][C]0.507046[/C][C]0.253523[/C][/ROW]
[ROW][C]42[/C][C]0.718439[/C][C]0.563122[/C][C]0.281561[/C][/ROW]
[ROW][C]43[/C][C]0.747922[/C][C]0.504155[/C][C]0.252078[/C][/ROW]
[ROW][C]44[/C][C]0.722561[/C][C]0.554878[/C][C]0.277439[/C][/ROW]
[ROW][C]45[/C][C]0.704967[/C][C]0.590067[/C][C]0.295033[/C][/ROW]
[ROW][C]46[/C][C]0.777235[/C][C]0.44553[/C][C]0.222765[/C][/ROW]
[ROW][C]47[/C][C]0.883654[/C][C]0.232691[/C][C]0.116346[/C][/ROW]
[ROW][C]48[/C][C]0.897509[/C][C]0.204981[/C][C]0.102491[/C][/ROW]
[ROW][C]49[/C][C]0.878773[/C][C]0.242453[/C][C]0.121227[/C][/ROW]
[ROW][C]50[/C][C]0.877483[/C][C]0.245034[/C][C]0.122517[/C][/ROW]
[ROW][C]51[/C][C]0.888235[/C][C]0.223529[/C][C]0.111765[/C][/ROW]
[ROW][C]52[/C][C]0.897119[/C][C]0.205762[/C][C]0.102881[/C][/ROW]
[ROW][C]53[/C][C]0.877119[/C][C]0.245762[/C][C]0.122881[/C][/ROW]
[ROW][C]54[/C][C]0.855328[/C][C]0.289343[/C][C]0.144672[/C][/ROW]
[ROW][C]55[/C][C]0.849601[/C][C]0.300798[/C][C]0.150399[/C][/ROW]
[ROW][C]56[/C][C]0.861752[/C][C]0.276496[/C][C]0.138248[/C][/ROW]
[ROW][C]57[/C][C]0.842245[/C][C]0.31551[/C][C]0.157755[/C][/ROW]
[ROW][C]58[/C][C]0.823344[/C][C]0.353312[/C][C]0.176656[/C][/ROW]
[ROW][C]59[/C][C]0.862108[/C][C]0.275783[/C][C]0.137892[/C][/ROW]
[ROW][C]60[/C][C]0.838521[/C][C]0.322957[/C][C]0.161479[/C][/ROW]
[ROW][C]61[/C][C]0.82861[/C][C]0.34278[/C][C]0.17139[/C][/ROW]
[ROW][C]62[/C][C]0.804666[/C][C]0.390668[/C][C]0.195334[/C][/ROW]
[ROW][C]63[/C][C]0.78311[/C][C]0.433779[/C][C]0.21689[/C][/ROW]
[ROW][C]64[/C][C]0.763945[/C][C]0.472109[/C][C]0.236055[/C][/ROW]
[ROW][C]65[/C][C]0.781597[/C][C]0.436805[/C][C]0.218403[/C][/ROW]
[ROW][C]66[/C][C]0.787203[/C][C]0.425595[/C][C]0.212797[/C][/ROW]
[ROW][C]67[/C][C]0.75762[/C][C]0.48476[/C][C]0.24238[/C][/ROW]
[ROW][C]68[/C][C]0.73833[/C][C]0.523339[/C][C]0.26167[/C][/ROW]
[ROW][C]69[/C][C]0.770465[/C][C]0.45907[/C][C]0.229535[/C][/ROW]
[ROW][C]70[/C][C]0.745242[/C][C]0.509517[/C][C]0.254758[/C][/ROW]
[ROW][C]71[/C][C]0.720628[/C][C]0.558743[/C][C]0.279372[/C][/ROW]
[ROW][C]72[/C][C]0.749917[/C][C]0.500166[/C][C]0.250083[/C][/ROW]
[ROW][C]73[/C][C]0.720478[/C][C]0.559044[/C][C]0.279522[/C][/ROW]
[ROW][C]74[/C][C]0.686804[/C][C]0.626392[/C][C]0.313196[/C][/ROW]
[ROW][C]75[/C][C]0.661158[/C][C]0.677685[/C][C]0.338842[/C][/ROW]
[ROW][C]76[/C][C]0.644898[/C][C]0.710203[/C][C]0.355102[/C][/ROW]
[ROW][C]77[/C][C]0.687217[/C][C]0.625566[/C][C]0.312783[/C][/ROW]
[ROW][C]78[/C][C]0.670725[/C][C]0.658551[/C][C]0.329275[/C][/ROW]
[ROW][C]79[/C][C]0.677023[/C][C]0.645954[/C][C]0.322977[/C][/ROW]
[ROW][C]80[/C][C]0.715973[/C][C]0.568053[/C][C]0.284027[/C][/ROW]
[ROW][C]81[/C][C]0.739118[/C][C]0.521764[/C][C]0.260882[/C][/ROW]
[ROW][C]82[/C][C]0.788571[/C][C]0.422858[/C][C]0.211429[/C][/ROW]
[ROW][C]83[/C][C]0.760382[/C][C]0.479235[/C][C]0.239618[/C][/ROW]
[ROW][C]84[/C][C]0.736824[/C][C]0.526352[/C][C]0.263176[/C][/ROW]
[ROW][C]85[/C][C]0.71041[/C][C]0.57918[/C][C]0.28959[/C][/ROW]
[ROW][C]86[/C][C]0.678401[/C][C]0.643198[/C][C]0.321599[/C][/ROW]
[ROW][C]87[/C][C]0.661775[/C][C]0.67645[/C][C]0.338225[/C][/ROW]
[ROW][C]88[/C][C]0.665939[/C][C]0.668122[/C][C]0.334061[/C][/ROW]
[ROW][C]89[/C][C]0.643278[/C][C]0.713444[/C][C]0.356722[/C][/ROW]
[ROW][C]90[/C][C]0.635542[/C][C]0.728917[/C][C]0.364458[/C][/ROW]
[ROW][C]91[/C][C]0.636617[/C][C]0.726767[/C][C]0.363383[/C][/ROW]
[ROW][C]92[/C][C]0.60359[/C][C]0.79282[/C][C]0.39641[/C][/ROW]
[ROW][C]93[/C][C]0.569756[/C][C]0.860487[/C][C]0.430244[/C][/ROW]
[ROW][C]94[/C][C]0.533813[/C][C]0.932375[/C][C]0.466187[/C][/ROW]
[ROW][C]95[/C][C]0.632607[/C][C]0.734786[/C][C]0.367393[/C][/ROW]
[ROW][C]96[/C][C]0.681885[/C][C]0.63623[/C][C]0.318115[/C][/ROW]
[ROW][C]97[/C][C]0.764751[/C][C]0.470498[/C][C]0.235249[/C][/ROW]
[ROW][C]98[/C][C]0.741853[/C][C]0.516293[/C][C]0.258147[/C][/ROW]
[ROW][C]99[/C][C]0.758195[/C][C]0.48361[/C][C]0.241805[/C][/ROW]
[ROW][C]100[/C][C]0.739212[/C][C]0.521575[/C][C]0.260788[/C][/ROW]
[ROW][C]101[/C][C]0.710052[/C][C]0.579896[/C][C]0.289948[/C][/ROW]
[ROW][C]102[/C][C]0.721053[/C][C]0.557894[/C][C]0.278947[/C][/ROW]
[ROW][C]103[/C][C]0.718603[/C][C]0.562795[/C][C]0.281397[/C][/ROW]
[ROW][C]104[/C][C]0.695163[/C][C]0.609675[/C][C]0.304837[/C][/ROW]
[ROW][C]105[/C][C]0.720014[/C][C]0.559971[/C][C]0.279986[/C][/ROW]
[ROW][C]106[/C][C]0.851083[/C][C]0.297834[/C][C]0.148917[/C][/ROW]
[ROW][C]107[/C][C]0.842017[/C][C]0.315966[/C][C]0.157983[/C][/ROW]
[ROW][C]108[/C][C]0.820185[/C][C]0.359629[/C][C]0.179815[/C][/ROW]
[ROW][C]109[/C][C]0.797656[/C][C]0.404688[/C][C]0.202344[/C][/ROW]
[ROW][C]110[/C][C]0.773831[/C][C]0.452338[/C][C]0.226169[/C][/ROW]
[ROW][C]111[/C][C]0.749593[/C][C]0.500813[/C][C]0.250407[/C][/ROW]
[ROW][C]112[/C][C]0.728832[/C][C]0.542335[/C][C]0.271168[/C][/ROW]
[ROW][C]113[/C][C]0.702293[/C][C]0.595414[/C][C]0.297707[/C][/ROW]
[ROW][C]114[/C][C]0.702444[/C][C]0.595112[/C][C]0.297556[/C][/ROW]
[ROW][C]115[/C][C]0.690952[/C][C]0.618096[/C][C]0.309048[/C][/ROW]
[ROW][C]116[/C][C]0.661743[/C][C]0.676514[/C][C]0.338257[/C][/ROW]
[ROW][C]117[/C][C]0.909909[/C][C]0.180181[/C][C]0.0900907[/C][/ROW]
[ROW][C]118[/C][C]0.908059[/C][C]0.183881[/C][C]0.0919406[/C][/ROW]
[ROW][C]119[/C][C]0.897184[/C][C]0.205633[/C][C]0.102816[/C][/ROW]
[ROW][C]120[/C][C]0.882549[/C][C]0.234903[/C][C]0.117451[/C][/ROW]
[ROW][C]121[/C][C]0.873709[/C][C]0.252582[/C][C]0.126291[/C][/ROW]
[ROW][C]122[/C][C]0.859331[/C][C]0.281338[/C][C]0.140669[/C][/ROW]
[ROW][C]123[/C][C]0.846413[/C][C]0.307174[/C][C]0.153587[/C][/ROW]
[ROW][C]124[/C][C]0.831515[/C][C]0.33697[/C][C]0.168485[/C][/ROW]
[ROW][C]125[/C][C]0.809315[/C][C]0.381371[/C][C]0.190685[/C][/ROW]
[ROW][C]126[/C][C]0.807906[/C][C]0.384188[/C][C]0.192094[/C][/ROW]
[ROW][C]127[/C][C]0.823269[/C][C]0.353462[/C][C]0.176731[/C][/ROW]
[ROW][C]128[/C][C]0.801818[/C][C]0.396365[/C][C]0.198182[/C][/ROW]
[ROW][C]129[/C][C]0.780154[/C][C]0.439693[/C][C]0.219846[/C][/ROW]
[ROW][C]130[/C][C]0.822693[/C][C]0.354615[/C][C]0.177307[/C][/ROW]
[ROW][C]131[/C][C]0.799733[/C][C]0.400534[/C][C]0.200267[/C][/ROW]
[ROW][C]132[/C][C]0.864933[/C][C]0.270133[/C][C]0.135067[/C][/ROW]
[ROW][C]133[/C][C]0.846724[/C][C]0.306551[/C][C]0.153276[/C][/ROW]
[ROW][C]134[/C][C]0.829358[/C][C]0.341283[/C][C]0.170642[/C][/ROW]
[ROW][C]135[/C][C]0.814053[/C][C]0.371895[/C][C]0.185947[/C][/ROW]
[ROW][C]136[/C][C]0.794882[/C][C]0.410235[/C][C]0.205118[/C][/ROW]
[ROW][C]137[/C][C]0.782025[/C][C]0.43595[/C][C]0.217975[/C][/ROW]
[ROW][C]138[/C][C]0.86272[/C][C]0.27456[/C][C]0.13728[/C][/ROW]
[ROW][C]139[/C][C]0.879353[/C][C]0.241295[/C][C]0.120647[/C][/ROW]
[ROW][C]140[/C][C]0.868241[/C][C]0.263517[/C][C]0.131759[/C][/ROW]
[ROW][C]141[/C][C]0.849376[/C][C]0.301248[/C][C]0.150624[/C][/ROW]
[ROW][C]142[/C][C]0.831649[/C][C]0.336703[/C][C]0.168351[/C][/ROW]
[ROW][C]143[/C][C]0.821078[/C][C]0.357844[/C][C]0.178922[/C][/ROW]
[ROW][C]144[/C][C]0.878132[/C][C]0.243736[/C][C]0.121868[/C][/ROW]
[ROW][C]145[/C][C]0.866993[/C][C]0.266015[/C][C]0.133007[/C][/ROW]
[ROW][C]146[/C][C]0.885275[/C][C]0.229451[/C][C]0.114725[/C][/ROW]
[ROW][C]147[/C][C]0.868097[/C][C]0.263806[/C][C]0.131903[/C][/ROW]
[ROW][C]148[/C][C]0.848995[/C][C]0.30201[/C][C]0.151005[/C][/ROW]
[ROW][C]149[/C][C]0.82803[/C][C]0.34394[/C][C]0.17197[/C][/ROW]
[ROW][C]150[/C][C]0.836799[/C][C]0.326403[/C][C]0.163201[/C][/ROW]
[ROW][C]151[/C][C]0.88402[/C][C]0.23196[/C][C]0.11598[/C][/ROW]
[ROW][C]152[/C][C]0.866506[/C][C]0.266988[/C][C]0.133494[/C][/ROW]
[ROW][C]153[/C][C]0.847262[/C][C]0.305477[/C][C]0.152738[/C][/ROW]
[ROW][C]154[/C][C]0.828855[/C][C]0.342291[/C][C]0.171145[/C][/ROW]
[ROW][C]155[/C][C]0.808402[/C][C]0.383195[/C][C]0.191598[/C][/ROW]
[ROW][C]156[/C][C]0.791897[/C][C]0.416206[/C][C]0.208103[/C][/ROW]
[ROW][C]157[/C][C]0.770314[/C][C]0.459373[/C][C]0.229686[/C][/ROW]
[ROW][C]158[/C][C]0.744976[/C][C]0.510047[/C][C]0.255024[/C][/ROW]
[ROW][C]159[/C][C]0.845982[/C][C]0.308035[/C][C]0.154018[/C][/ROW]
[ROW][C]160[/C][C]0.857529[/C][C]0.284941[/C][C]0.142471[/C][/ROW]
[ROW][C]161[/C][C]0.876131[/C][C]0.247737[/C][C]0.123869[/C][/ROW]
[ROW][C]162[/C][C]0.91481[/C][C]0.170379[/C][C]0.0851896[/C][/ROW]
[ROW][C]163[/C][C]0.901223[/C][C]0.197554[/C][C]0.0987768[/C][/ROW]
[ROW][C]164[/C][C]0.900795[/C][C]0.19841[/C][C]0.0992052[/C][/ROW]
[ROW][C]165[/C][C]0.901656[/C][C]0.196688[/C][C]0.0983438[/C][/ROW]
[ROW][C]166[/C][C]0.893558[/C][C]0.212884[/C][C]0.106442[/C][/ROW]
[ROW][C]167[/C][C]0.881862[/C][C]0.236277[/C][C]0.118138[/C][/ROW]
[ROW][C]168[/C][C]0.884997[/C][C]0.230006[/C][C]0.115003[/C][/ROW]
[ROW][C]169[/C][C]0.87736[/C][C]0.24528[/C][C]0.12264[/C][/ROW]
[ROW][C]170[/C][C]0.859203[/C][C]0.281593[/C][C]0.140797[/C][/ROW]
[ROW][C]171[/C][C]0.839738[/C][C]0.320524[/C][C]0.160262[/C][/ROW]
[ROW][C]172[/C][C]0.816975[/C][C]0.366051[/C][C]0.183025[/C][/ROW]
[ROW][C]173[/C][C]0.792585[/C][C]0.414831[/C][C]0.207415[/C][/ROW]
[ROW][C]174[/C][C]0.808252[/C][C]0.383496[/C][C]0.191748[/C][/ROW]
[ROW][C]175[/C][C]0.798253[/C][C]0.403493[/C][C]0.201747[/C][/ROW]
[ROW][C]176[/C][C]0.921624[/C][C]0.156752[/C][C]0.0783762[/C][/ROW]
[ROW][C]177[/C][C]0.907881[/C][C]0.184238[/C][C]0.0921189[/C][/ROW]
[ROW][C]178[/C][C]0.895628[/C][C]0.208743[/C][C]0.104372[/C][/ROW]
[ROW][C]179[/C][C]0.880264[/C][C]0.239472[/C][C]0.119736[/C][/ROW]
[ROW][C]180[/C][C]0.861568[/C][C]0.276865[/C][C]0.138432[/C][/ROW]
[ROW][C]181[/C][C]0.840568[/C][C]0.318865[/C][C]0.159432[/C][/ROW]
[ROW][C]182[/C][C]0.828947[/C][C]0.342106[/C][C]0.171053[/C][/ROW]
[ROW][C]183[/C][C]0.934852[/C][C]0.130296[/C][C]0.0651482[/C][/ROW]
[ROW][C]184[/C][C]0.926551[/C][C]0.146898[/C][C]0.0734489[/C][/ROW]
[ROW][C]185[/C][C]0.924877[/C][C]0.150246[/C][C]0.075123[/C][/ROW]
[ROW][C]186[/C][C]0.911342[/C][C]0.177316[/C][C]0.0886579[/C][/ROW]
[ROW][C]187[/C][C]0.923459[/C][C]0.153082[/C][C]0.0765409[/C][/ROW]
[ROW][C]188[/C][C]0.91058[/C][C]0.17884[/C][C]0.0894202[/C][/ROW]
[ROW][C]189[/C][C]0.898468[/C][C]0.203063[/C][C]0.101532[/C][/ROW]
[ROW][C]190[/C][C]0.934001[/C][C]0.131997[/C][C]0.0659986[/C][/ROW]
[ROW][C]191[/C][C]0.923544[/C][C]0.152912[/C][C]0.0764559[/C][/ROW]
[ROW][C]192[/C][C]0.917508[/C][C]0.164985[/C][C]0.0824924[/C][/ROW]
[ROW][C]193[/C][C]0.913975[/C][C]0.172049[/C][C]0.0860246[/C][/ROW]
[ROW][C]194[/C][C]0.918464[/C][C]0.163073[/C][C]0.0815364[/C][/ROW]
[ROW][C]195[/C][C]0.903049[/C][C]0.193901[/C][C]0.0969506[/C][/ROW]
[ROW][C]196[/C][C]0.892156[/C][C]0.215688[/C][C]0.107844[/C][/ROW]
[ROW][C]197[/C][C]0.910237[/C][C]0.179526[/C][C]0.0897631[/C][/ROW]
[ROW][C]198[/C][C]0.899925[/C][C]0.20015[/C][C]0.100075[/C][/ROW]
[ROW][C]199[/C][C]0.90806[/C][C]0.18388[/C][C]0.0919399[/C][/ROW]
[ROW][C]200[/C][C]0.920768[/C][C]0.158464[/C][C]0.079232[/C][/ROW]
[ROW][C]201[/C][C]0.906169[/C][C]0.187662[/C][C]0.0938309[/C][/ROW]
[ROW][C]202[/C][C]0.895325[/C][C]0.209351[/C][C]0.104675[/C][/ROW]
[ROW][C]203[/C][C]0.880064[/C][C]0.239873[/C][C]0.119936[/C][/ROW]
[ROW][C]204[/C][C]0.86485[/C][C]0.2703[/C][C]0.13515[/C][/ROW]
[ROW][C]205[/C][C]0.880767[/C][C]0.238466[/C][C]0.119233[/C][/ROW]
[ROW][C]206[/C][C]0.874635[/C][C]0.25073[/C][C]0.125365[/C][/ROW]
[ROW][C]207[/C][C]0.876915[/C][C]0.24617[/C][C]0.123085[/C][/ROW]
[ROW][C]208[/C][C]0.859595[/C][C]0.28081[/C][C]0.140405[/C][/ROW]
[ROW][C]209[/C][C]0.847656[/C][C]0.304689[/C][C]0.152344[/C][/ROW]
[ROW][C]210[/C][C]0.824836[/C][C]0.350328[/C][C]0.175164[/C][/ROW]
[ROW][C]211[/C][C]0.82157[/C][C]0.35686[/C][C]0.17843[/C][/ROW]
[ROW][C]212[/C][C]0.796549[/C][C]0.406902[/C][C]0.203451[/C][/ROW]
[ROW][C]213[/C][C]0.823168[/C][C]0.353664[/C][C]0.176832[/C][/ROW]
[ROW][C]214[/C][C]0.796709[/C][C]0.406583[/C][C]0.203291[/C][/ROW]
[ROW][C]215[/C][C]0.781313[/C][C]0.437374[/C][C]0.218687[/C][/ROW]
[ROW][C]216[/C][C]0.751101[/C][C]0.497799[/C][C]0.248899[/C][/ROW]
[ROW][C]217[/C][C]0.71628[/C][C]0.56744[/C][C]0.28372[/C][/ROW]
[ROW][C]218[/C][C]0.687515[/C][C]0.62497[/C][C]0.312485[/C][/ROW]
[ROW][C]219[/C][C]0.660158[/C][C]0.679684[/C][C]0.339842[/C][/ROW]
[ROW][C]220[/C][C]0.622191[/C][C]0.755618[/C][C]0.377809[/C][/ROW]
[ROW][C]221[/C][C]0.583038[/C][C]0.833925[/C][C]0.416962[/C][/ROW]
[ROW][C]222[/C][C]0.566767[/C][C]0.866466[/C][C]0.433233[/C][/ROW]
[ROW][C]223[/C][C]0.624938[/C][C]0.750123[/C][C]0.375062[/C][/ROW]
[ROW][C]224[/C][C]0.63666[/C][C]0.72668[/C][C]0.36334[/C][/ROW]
[ROW][C]225[/C][C]0.603663[/C][C]0.792675[/C][C]0.396337[/C][/ROW]
[ROW][C]226[/C][C]0.584801[/C][C]0.830397[/C][C]0.415199[/C][/ROW]
[ROW][C]227[/C][C]0.540749[/C][C]0.918503[/C][C]0.459251[/C][/ROW]
[ROW][C]228[/C][C]0.504129[/C][C]0.991741[/C][C]0.495871[/C][/ROW]
[ROW][C]229[/C][C]0.526577[/C][C]0.946847[/C][C]0.473423[/C][/ROW]
[ROW][C]230[/C][C]0.480024[/C][C]0.960048[/C][C]0.519976[/C][/ROW]
[ROW][C]231[/C][C]0.444391[/C][C]0.888782[/C][C]0.555609[/C][/ROW]
[ROW][C]232[/C][C]0.398214[/C][C]0.796427[/C][C]0.601786[/C][/ROW]
[ROW][C]233[/C][C]0.36965[/C][C]0.739299[/C][C]0.63035[/C][/ROW]
[ROW][C]234[/C][C]0.332272[/C][C]0.664544[/C][C]0.667728[/C][/ROW]
[ROW][C]235[/C][C]0.308824[/C][C]0.617648[/C][C]0.691176[/C][/ROW]
[ROW][C]236[/C][C]0.278179[/C][C]0.556357[/C][C]0.721821[/C][/ROW]
[ROW][C]237[/C][C]0.249316[/C][C]0.498631[/C][C]0.750684[/C][/ROW]
[ROW][C]238[/C][C]0.253086[/C][C]0.506172[/C][C]0.746914[/C][/ROW]
[ROW][C]239[/C][C]0.216808[/C][C]0.433615[/C][C]0.783192[/C][/ROW]
[ROW][C]240[/C][C]0.223238[/C][C]0.446476[/C][C]0.776762[/C][/ROW]
[ROW][C]241[/C][C]0.194488[/C][C]0.388975[/C][C]0.805512[/C][/ROW]
[ROW][C]242[/C][C]0.161838[/C][C]0.323676[/C][C]0.838162[/C][/ROW]
[ROW][C]243[/C][C]0.13492[/C][C]0.269839[/C][C]0.86508[/C][/ROW]
[ROW][C]244[/C][C]0.128884[/C][C]0.257768[/C][C]0.871116[/C][/ROW]
[ROW][C]245[/C][C]0.118969[/C][C]0.237939[/C][C]0.881031[/C][/ROW]
[ROW][C]246[/C][C]0.264032[/C][C]0.528064[/C][C]0.735968[/C][/ROW]
[ROW][C]247[/C][C]0.295836[/C][C]0.591673[/C][C]0.704164[/C][/ROW]
[ROW][C]248[/C][C]0.356395[/C][C]0.712791[/C][C]0.643605[/C][/ROW]
[ROW][C]249[/C][C]0.313094[/C][C]0.626188[/C][C]0.686906[/C][/ROW]
[ROW][C]250[/C][C]0.266058[/C][C]0.532116[/C][C]0.733942[/C][/ROW]
[ROW][C]251[/C][C]0.235203[/C][C]0.470406[/C][C]0.764797[/C][/ROW]
[ROW][C]252[/C][C]0.191946[/C][C]0.383892[/C][C]0.808054[/C][/ROW]
[ROW][C]253[/C][C]0.162359[/C][C]0.324719[/C][C]0.837641[/C][/ROW]
[ROW][C]254[/C][C]0.150382[/C][C]0.300763[/C][C]0.849618[/C][/ROW]
[ROW][C]255[/C][C]0.179472[/C][C]0.358944[/C][C]0.820528[/C][/ROW]
[ROW][C]256[/C][C]0.176428[/C][C]0.352856[/C][C]0.823572[/C][/ROW]
[ROW][C]257[/C][C]0.155556[/C][C]0.311112[/C][C]0.844444[/C][/ROW]
[ROW][C]258[/C][C]0.146257[/C][C]0.292514[/C][C]0.853743[/C][/ROW]
[ROW][C]259[/C][C]0.116802[/C][C]0.233604[/C][C]0.883198[/C][/ROW]
[ROW][C]260[/C][C]0.0849604[/C][C]0.169921[/C][C]0.91504[/C][/ROW]
[ROW][C]261[/C][C]0.0623045[/C][C]0.124609[/C][C]0.937696[/C][/ROW]
[ROW][C]262[/C][C]0.422536[/C][C]0.845071[/C][C]0.577464[/C][/ROW]
[ROW][C]263[/C][C]0.50211[/C][C]0.99578[/C][C]0.49789[/C][/ROW]
[ROW][C]264[/C][C]0.43651[/C][C]0.87302[/C][C]0.56349[/C][/ROW]
[ROW][C]265[/C][C]0.372634[/C][C]0.745268[/C][C]0.627366[/C][/ROW]
[ROW][C]266[/C][C]0.797232[/C][C]0.405536[/C][C]0.202768[/C][/ROW]
[ROW][C]267[/C][C]0.765061[/C][C]0.469879[/C][C]0.234939[/C][/ROW]
[ROW][C]268[/C][C]0.734378[/C][C]0.531244[/C][C]0.265622[/C][/ROW]
[ROW][C]269[/C][C]0.729229[/C][C]0.541542[/C][C]0.270771[/C][/ROW]
[ROW][C]270[/C][C]0.608742[/C][C]0.782516[/C][C]0.391258[/C][/ROW]
[ROW][C]271[/C][C]0.445247[/C][C]0.890494[/C][C]0.554753[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266225&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266225&T=5

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


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.9258070.1483860.0741931
80.9378470.1243070.0621534
90.8898720.2202550.110128
100.9846630.03067350.0153368
110.9728390.05432280.0271614
120.9601940.07961170.0398059
130.9460160.1079680.0539841
140.9364290.1271430.0635713
150.9148280.1703430.0851717
160.9199150.1601690.0800846
170.8885630.2228730.111437
180.8965720.2068560.103428
190.8634170.2731650.136583
200.8289960.3420090.171004
210.7960290.4079430.203971
220.8358190.3283610.164181
230.8260920.3478150.173908
240.7832440.4335120.216756
250.7355140.5289710.264486
260.7665320.4669360.233468
270.7675760.4648470.232424
280.7309660.5380680.269034
290.6919240.6161520.308076
300.6635420.6729170.336458
310.6378590.7242820.362141
320.8958290.2083430.104171
330.8709380.2581240.129062
340.8441440.3117130.155856
350.8161480.3677050.183852
360.8824740.2350530.117526
370.8667450.2665090.133255
380.8393980.3212050.160602
390.8102570.3794860.189743
400.7782610.4434780.221739
410.7464770.5070460.253523
420.7184390.5631220.281561
430.7479220.5041550.252078
440.7225610.5548780.277439
450.7049670.5900670.295033
460.7772350.445530.222765
470.8836540.2326910.116346
480.8975090.2049810.102491
490.8787730.2424530.121227
500.8774830.2450340.122517
510.8882350.2235290.111765
520.8971190.2057620.102881
530.8771190.2457620.122881
540.8553280.2893430.144672
550.8496010.3007980.150399
560.8617520.2764960.138248
570.8422450.315510.157755
580.8233440.3533120.176656
590.8621080.2757830.137892
600.8385210.3229570.161479
610.828610.342780.17139
620.8046660.3906680.195334
630.783110.4337790.21689
640.7639450.4721090.236055
650.7815970.4368050.218403
660.7872030.4255950.212797
670.757620.484760.24238
680.738330.5233390.26167
690.7704650.459070.229535
700.7452420.5095170.254758
710.7206280.5587430.279372
720.7499170.5001660.250083
730.7204780.5590440.279522
740.6868040.6263920.313196
750.6611580.6776850.338842
760.6448980.7102030.355102
770.6872170.6255660.312783
780.6707250.6585510.329275
790.6770230.6459540.322977
800.7159730.5680530.284027
810.7391180.5217640.260882
820.7885710.4228580.211429
830.7603820.4792350.239618
840.7368240.5263520.263176
850.710410.579180.28959
860.6784010.6431980.321599
870.6617750.676450.338225
880.6659390.6681220.334061
890.6432780.7134440.356722
900.6355420.7289170.364458
910.6366170.7267670.363383
920.603590.792820.39641
930.5697560.8604870.430244
940.5338130.9323750.466187
950.6326070.7347860.367393
960.6818850.636230.318115
970.7647510.4704980.235249
980.7418530.5162930.258147
990.7581950.483610.241805
1000.7392120.5215750.260788
1010.7100520.5798960.289948
1020.7210530.5578940.278947
1030.7186030.5627950.281397
1040.6951630.6096750.304837
1050.7200140.5599710.279986
1060.8510830.2978340.148917
1070.8420170.3159660.157983
1080.8201850.3596290.179815
1090.7976560.4046880.202344
1100.7738310.4523380.226169
1110.7495930.5008130.250407
1120.7288320.5423350.271168
1130.7022930.5954140.297707
1140.7024440.5951120.297556
1150.6909520.6180960.309048
1160.6617430.6765140.338257
1170.9099090.1801810.0900907
1180.9080590.1838810.0919406
1190.8971840.2056330.102816
1200.8825490.2349030.117451
1210.8737090.2525820.126291
1220.8593310.2813380.140669
1230.8464130.3071740.153587
1240.8315150.336970.168485
1250.8093150.3813710.190685
1260.8079060.3841880.192094
1270.8232690.3534620.176731
1280.8018180.3963650.198182
1290.7801540.4396930.219846
1300.8226930.3546150.177307
1310.7997330.4005340.200267
1320.8649330.2701330.135067
1330.8467240.3065510.153276
1340.8293580.3412830.170642
1350.8140530.3718950.185947
1360.7948820.4102350.205118
1370.7820250.435950.217975
1380.862720.274560.13728
1390.8793530.2412950.120647
1400.8682410.2635170.131759
1410.8493760.3012480.150624
1420.8316490.3367030.168351
1430.8210780.3578440.178922
1440.8781320.2437360.121868
1450.8669930.2660150.133007
1460.8852750.2294510.114725
1470.8680970.2638060.131903
1480.8489950.302010.151005
1490.828030.343940.17197
1500.8367990.3264030.163201
1510.884020.231960.11598
1520.8665060.2669880.133494
1530.8472620.3054770.152738
1540.8288550.3422910.171145
1550.8084020.3831950.191598
1560.7918970.4162060.208103
1570.7703140.4593730.229686
1580.7449760.5100470.255024
1590.8459820.3080350.154018
1600.8575290.2849410.142471
1610.8761310.2477370.123869
1620.914810.1703790.0851896
1630.9012230.1975540.0987768
1640.9007950.198410.0992052
1650.9016560.1966880.0983438
1660.8935580.2128840.106442
1670.8818620.2362770.118138
1680.8849970.2300060.115003
1690.877360.245280.12264
1700.8592030.2815930.140797
1710.8397380.3205240.160262
1720.8169750.3660510.183025
1730.7925850.4148310.207415
1740.8082520.3834960.191748
1750.7982530.4034930.201747
1760.9216240.1567520.0783762
1770.9078810.1842380.0921189
1780.8956280.2087430.104372
1790.8802640.2394720.119736
1800.8615680.2768650.138432
1810.8405680.3188650.159432
1820.8289470.3421060.171053
1830.9348520.1302960.0651482
1840.9265510.1468980.0734489
1850.9248770.1502460.075123
1860.9113420.1773160.0886579
1870.9234590.1530820.0765409
1880.910580.178840.0894202
1890.8984680.2030630.101532
1900.9340010.1319970.0659986
1910.9235440.1529120.0764559
1920.9175080.1649850.0824924
1930.9139750.1720490.0860246
1940.9184640.1630730.0815364
1950.9030490.1939010.0969506
1960.8921560.2156880.107844
1970.9102370.1795260.0897631
1980.8999250.200150.100075
1990.908060.183880.0919399
2000.9207680.1584640.079232
2010.9061690.1876620.0938309
2020.8953250.2093510.104675
2030.8800640.2398730.119936
2040.864850.27030.13515
2050.8807670.2384660.119233
2060.8746350.250730.125365
2070.8769150.246170.123085
2080.8595950.280810.140405
2090.8476560.3046890.152344
2100.8248360.3503280.175164
2110.821570.356860.17843
2120.7965490.4069020.203451
2130.8231680.3536640.176832
2140.7967090.4065830.203291
2150.7813130.4373740.218687
2160.7511010.4977990.248899
2170.716280.567440.28372
2180.6875150.624970.312485
2190.6601580.6796840.339842
2200.6221910.7556180.377809
2210.5830380.8339250.416962
2220.5667670.8664660.433233
2230.6249380.7501230.375062
2240.636660.726680.36334
2250.6036630.7926750.396337
2260.5848010.8303970.415199
2270.5407490.9185030.459251
2280.5041290.9917410.495871
2290.5265770.9468470.473423
2300.4800240.9600480.519976
2310.4443910.8887820.555609
2320.3982140.7964270.601786
2330.369650.7392990.63035
2340.3322720.6645440.667728
2350.3088240.6176480.691176
2360.2781790.5563570.721821
2370.2493160.4986310.750684
2380.2530860.5061720.746914
2390.2168080.4336150.783192
2400.2232380.4464760.776762
2410.1944880.3889750.805512
2420.1618380.3236760.838162
2430.134920.2698390.86508
2440.1288840.2577680.871116
2450.1189690.2379390.881031
2460.2640320.5280640.735968
2470.2958360.5916730.704164
2480.3563950.7127910.643605
2490.3130940.6261880.686906
2500.2660580.5321160.733942
2510.2352030.4704060.764797
2520.1919460.3838920.808054
2530.1623590.3247190.837641
2540.1503820.3007630.849618
2550.1794720.3589440.820528
2560.1764280.3528560.823572
2570.1555560.3111120.844444
2580.1462570.2925140.853743
2590.1168020.2336040.883198
2600.08496040.1699210.91504
2610.06230450.1246090.937696
2620.4225360.8450710.577464
2630.502110.995780.49789
2640.436510.873020.56349
2650.3726340.7452680.627366
2660.7972320.4055360.202768
2670.7650610.4698790.234939
2680.7343780.5312440.265622
2690.7292290.5415420.270771
2700.6087420.7825160.391258
2710.4452470.8904940.554753






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level10.00377358OK
10% type I error level30.0113208OK

\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 & 1 & 0.00377358 & OK \tabularnewline
10% type I error level & 3 & 0.0113208 & OK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266225&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]1[/C][C]0.00377358[/C][C]OK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]3[/C][C]0.0113208[/C][C]OK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266225&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266225&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 level10.00377358OK
10% type I error level30.0113208OK


Figures (Output of Computation)

Figure 1
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Figure 2
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Figure 4
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Figure 5
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Figure 6
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Figure 7
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Figure 8
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Figure 9
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Figure 10
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Input Parameters & R Code

Parameters (Session):
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')
}