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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationTue, 16 Dec 2014 18:06:15 +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/16/t1418753213r7l3n83nz4t0gca.htm/, Retrieved Thu, 16 May 2024 13:18:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=269878, Retrieved Thu, 16 May 2024 13:18:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact65

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [] [2012-10-10 08:19:09] [b98453cac15ba1066b407e146608df68]
- RMPD    [Multiple Regression] [motivatie 3] [2014-12-16 18:06:15] [88f8137dd67cdcd531568536dca46410] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
26 50 149 12.9
57 62 139 12.2
37 54 148 12.8
67 71 158 7.4
43 54 128 6.7
52 65 224 12.6
52 73 159 14.8
43 52 105 13.3
84 84 159 11.1
67 42 167 8.2
49 66 165 11.4
70 65 159 6.4
52 78 119 10.6
58 73 176 12
68 75 54 6.3
62 72 91 11.3
43 66 163 11.9
56 70 124 9.3
56 61 137 9.6
74 81 121 10
65 71 153 6.4
63 69 148 13.8
58 71 221 10.8
57 72 188 13.8
63 68 149 11.7
53 70 244 10.9
57 68 148 16.1
51 61 92 13.4
64 67 150 9.9
53 76 153 11.5
29 70 94 8.3
54 60 156 11.7
58 72 132 9
43 69 161 9.7
51 71 105 10.8
53 62 97 10.3
54 70 151 10.4
56 64 131 12.7
61 58 166 9.3
47 76 157 11.8
39 52 111 5.9
48 59 145 11.4
50 68 162 13
35 76 163 10.8
30 65 59 12.3
68 67 187 11.3
49 59 109 11.8
61 69 90 7.9
67 76 105 12.7
47 63 83 12.3
56 75 116 11.6
50 63 42 6.7
43 60 148 10.9
67 73 155 12.1
62 63 125 13.3
57 70 116 10.1
41 75 128 5.7
54 66 138 14.3
45 63 49 8
48 63 96 13.3
61 64 164 9.3
56 70 162 12.5
41 75 99 7.6
43 61 202 15.9
53 60 186 9.2
44 62 66 9.1
66 73 183 11.1
58 61 214 13
46 66 188 14.5
37 64 104 12.2
51 59 177 12.3
51 64 126 11.4
56 60 76 8.8
66 56 99 14.6
37 78 139 12.6
42 67 162 13
38 59 108 12.6
66 66 159 13.2
34 68 74 9.9
53 71 110 7.7
49 66 96 10.5
55 73 116 13.4
49 72 87 10.9
59 71 97 4.3
40 59 127 10.3
58 64 106 11.8
60 66 80 11.2
63 78 74 11.4
56 68 91 8.6
54 73 133 13.2
52 62 74 12.6
34 65 114 5.6
69 68 140 9.9
32 65 95 8.8
48 60 98 7.7
67 71 121 9
58 65 126 7.3
57 68 98 11.4
42 64 95 13.6
64 74 110 7.9
58 69 70 10.7
66 76 102 10.3
26 68 86 8.3
61 72 130 9.6
52 67 96 14.2
51 63 102 8.5
55 59 100 13.5
50 73 94 4.9
60 66 52 6.4
56 62 98 9.6
63 69 118 11.6
61 66 99 11.1
52 51 48 4.35
16 56 50 12.7
46 67 150 18.1
56 69 154 17.85
52 57 109 16.6
55 56 68 12.6
50 55 194 17.1
59 63 158 19.1
60 67 159 16.1
52 65 67 13.35
44 47 147 18.4
67 76 39 14.7
52 64 100 10.6
55 68 111 12.6
37 64 138 16.2
54 65 101 13.6
72 71 131 18.9
51 63 101 14.1
48 60 114 14.5
60 68 165 16.15
50 72 114 14.75
63 70 111 14.8
33 61 75 12.45
67 61 82 12.65
46 62 121 17.35
54 71 32 8.6
59 71 150 18.4
61 51 117 16.1
33 56 71 11.6
47 70 165 17.75
69 73 154 15.25
52 76 126 17.65
55 68 149 16.35
41 48 145 17.65
73 52 120 13.6
52 60 109 14.35
50 59 132 14.75
51 57 172 18.25
60 79 169 9.9
56 60 114 16
56 60 156 18.25
29 59 172 16.85
66 62 68 14.6
66 59 89 13.85
73 61 167 18.95
55 71 113 15.6
64 57 115 14.85
40 66 78 11.75
46 63 118 18.45
58 69 87 15.9
43 58 173 17.1
61 59 2 16.1
51 48 162 19.9
50 66 49 10.95
52 73 122 18.45
54 67 96 15.1
66 61 100 15
61 68 82 11.35
80 75 100 15.95
51 62 115 18.1
56 69 141 14.6
56 58 165 15.4
56 60 165 15.4
53 74 110 17.6
47 55 118 13.35
25 62 158 19.1
47 63 146 15.35
46 69 49 7.6
50 58 90 13.4
39 58 121 13.9
51 68 155 19.1
58 72 104 15.25
35 62 147 12.9
58 62 110 16.1
60 65 108 17.35
62 69 113 13.15
63 66 115 12.15
53 72 61 12.6
46 62 60 10.35
67 75 109 15.4
59 58 68 9.6
64 66 111 18.2
38 55 77 13.6
50 47 73 14.85
48 72 151 14.75
48 62 89 14.1
47 64 78 14.9
66 64 110 16.25
47 19 220 19.25
63 50 65 13.6
58 68 141 13.6
44 70 117 15.65
51 79 122 12.75
43 69 63 14.6
55 71 44 9.85
38 48 52 12.65
45 73 131 19.2
50 74 101 16.6
54 66 42 11.2
57 71 152 15.25
60 74 107 11.9
55 78 77 13.2
56 75 154 16.35
49 53 103 12.4
37 60 96 15.85
59 70 175 18.15
46 69 57 11.15
51 65 112 15.65
58 78 143 17.75
64 78 49 7.65
53 59 110 12.35
48 72 131 15.6
51 70 167 19.3
47 63 56 15.2
59 63 137 17.1
62 71 86 15.6
62 74 121 18.4
51 67 149 19.05
64 66 168 18.55
52 62 140 19.1
67 80 88 13.1
50 73 168 12.85
54 67 94 9.5
58 61 51 4.5
56 73 48 11.85
63 74 145 13.6
31 32 66 11.7
65 69 85 12.4
71 69 109 13.35
50 84 63 11.4
57 64 102 14.9
47 58 162 19.9
47 59 86 11.2
57 78 114 14.6
43 57 164 17.6
41 60 119 14.05
63 68 126 16.1
63 68 132 13.35
56 73 142 11.85
51 69 83 11.95
50 67 94 14.75
22 60 81 15.15
41 65 166 13.2
59 66 110 16.85
56 74 64 7.85
66 81 93 7.7
53 72 104 12.6
42 55 105 7.85
52 49 49 10.95
54 74 88 12.35
44 53 95 9.95
62 64 102 14.9
53 65 99 16.65
50 57 63 13.4
36 51 76 13.95
76 80 109 15.7
66 67 117 16.85
62 70 57 10.95
59 74 120 15.35
47 75 73 12.2
55 70 91 15.1
58 69 108 17.75
60 65 105 15.2
44 55 117 14.6
57 71 119 16.65
45 65 31 8.1

Tables (Output of Computation)





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

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 8 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269878&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]8 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269878&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269878&T=0

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


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

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






Multiple Linear Regression - Estimated Regression Equation
AMS.I[t] = + 20.2673 + 0.447153AMS.E[t] + 0.0185107LFM[t] + 0.10876Total[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
AMS.I[t] =  +  20.2673 +  0.447153AMS.E[t] +  0.0185107LFM[t] +  0.10876Total[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269878&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]AMS.I[t] =  +  20.2673 +  0.447153AMS.E[t] +  0.0185107LFM[t] +  0.10876Total[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269878&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269878&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
AMS.I[t] = + 20.2673 + 0.447153AMS.E[t] + 0.0185107LFM[t] + 0.10876Total[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)20.26735.533573.6630.0002995940.000149797
AMS.E0.4471530.07174946.2321.72958e-098.64789e-10
LFM0.01851070.0153031.210.227470.113735
Total0.108760.1807490.60170.547860.27393

\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) & 20.2673 & 5.53357 & 3.663 & 0.000299594 & 0.000149797 \tabularnewline
AMS.E & 0.447153 & 0.0717494 & 6.232 & 1.72958e-09 & 8.64789e-10 \tabularnewline
LFM & 0.0185107 & 0.015303 & 1.21 & 0.22747 & 0.113735 \tabularnewline
Total & 0.10876 & 0.180749 & 0.6017 & 0.54786 & 0.27393 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269878&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]20.2673[/C][C]5.53357[/C][C]3.663[/C][C]0.000299594[/C][C]0.000149797[/C][/ROW]
[ROW][C]AMS.E[/C][C]0.447153[/C][C]0.0717494[/C][C]6.232[/C][C]1.72958e-09[/C][C]8.64789e-10[/C][/ROW]
[ROW][C]LFM[/C][C]0.0185107[/C][C]0.015303[/C][C]1.21[/C][C]0.22747[/C][C]0.113735[/C][/ROW]
[ROW][C]Total[/C][C]0.10876[/C][C]0.180749[/C][C]0.6017[/C][C]0.54786[/C][C]0.27393[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269878&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269878&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)20.26735.533573.6630.0002995940.000149797
AMS.E0.4471530.07174946.2321.72958e-098.64789e-10
LFM0.01851070.0153031.210.227470.113735
Total0.108760.1807490.60170.547860.27393






Multiple Linear Regression - Regression Statistics
Multiple R0.360657
R-squared0.130074
Adjusted R-squared0.120549
F-TEST (value)13.6564
F-TEST (DF numerator)3
F-TEST (DF denominator)274
p-value2.50237e-08
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation9.66385
Sum Squared Residuals25588.8

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.360657 \tabularnewline
R-squared & 0.130074 \tabularnewline
Adjusted R-squared & 0.120549 \tabularnewline
F-TEST (value) & 13.6564 \tabularnewline
F-TEST (DF numerator) & 3 \tabularnewline
F-TEST (DF denominator) & 274 \tabularnewline
p-value & 2.50237e-08 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 9.66385 \tabularnewline
Sum Squared Residuals & 25588.8 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269878&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.360657[/C][/ROW]
[ROW][C]R-squared[/C][C]0.130074[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.120549[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]13.6564[/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]2.50237e-08[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]9.66385[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]25588.8[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269878&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269878&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 R0.360657
R-squared0.130074
Adjusted R-squared0.120549
F-TEST (value)13.6564
F-TEST (DF numerator)3
F-TEST (DF denominator)274
p-value2.50237e-08
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation9.66385
Sum Squared Residuals25588.8






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
12646.7861-20.7861
25751.89075.10929
33748.5453-11.5453
46755.744711.2553
54347.5117-4.51169
65254.8491-2.84908
75257.4624-5.46239
84346.9094-3.90945
98461.978722.0213
106743.030923.9691
114954.0736-5.07359
127052.971617.0284
135258.5009-6.50093
145857.47250.527459
156855.488612.5114
166255.37586.62415
174354.091-11.091
185654.87491.12513
195651.12384.87624
207459.814214.1858
216555.54349.45657
226355.36147.63861
235857.28070.719297
245757.4433-0.443283
256354.70448.29564
265357.2702-4.27017
275755.16441.83561
285150.70410.295935
296454.07999.92005
305358.3339-5.33388
312954.2108-25.2108
325451.25672.7433
335855.88462.11536
344355.1561-12.1561
355155.1335-4.13346
365350.90662.09338
375455.4943-1.4943
385652.69133.30869
396150.286510.7135
404758.4405-11.4405
413946.2157-7.21569
424850.5733-2.5733
435055.0864-5.08638
443558.4429-23.4429
453051.7622-21.7622
466854.917113.0829
474949.9504-0.950424
486153.64617.35391
496757.57599.42413
504751.3121-4.31214
515657.2127-1.2127
525049.94410.055853
534351.0216-8.02161
546757.09479.90531
556252.19839.80165
565754.81382.1862
574156.7931-15.7931
585453.88920.110792
594550.2151-5.21511
604851.6615-3.66154
616152.93248.06762
625655.92630.0736896
634156.463-15.463
644353.0121-10.0121
655351.54011.45987
664450.2023-6.20227
676657.50428.49577
685852.91895.08114
694654.8365-8.83649
703752.1371-15.1371
715151.2635-0.263531
725152.4574-1.45737
735649.46046.53955
746648.728417.2716
753759.0887-22.0887
764254.6392-12.6392
773850.0189-12.0189
786654.158311.8417
793453.1203-19.1203
805354.8889-1.88886
814952.6985-3.69847
825556.5142-1.51416
834955.2583-6.2583
845954.27844.72156
854050.1205-10.1205
865852.13075.86934
876052.47847.52157
886357.7555.24504
895653.29362.70642
905456.8071-2.80709
915250.7311.26898
923452.0516-18.0516
936954.34214.658
943252.0479-20.0479
954849.748-1.74804
966755.233911.7661
975852.45865.54139
985753.72773.27232
994252.1228-10.1228
1006456.25217.74793
1015853.58044.41959
1026657.25938.74068
1032653.1684-27.1684
1046155.91295.08713
1055253.548-1.54804
1065151.2506-0.250556
1075549.96875.03128
1085055.1825-5.18247
1096051.43818.56191
1105650.8495.151
1116354.56688.4332
1126152.81938.18074
1135244.43387.56622
1141647.6147-31.6147
1154654.9718-8.97178
1165655.91290.0870639
1175249.57822.42184
1185547.9377.06297
1195050.3116-0.311645
1205953.445.55999
1216054.92095.07915
1225252.0245-0.0244734
1234446.0058-2.0058
1246756.571710.4283
1255251.88910.110917
1265554.09880.901166
1273753.2015-16.2015
1285452.6811.31897
1297256.495715.5043
1305151.8411-0.8411
1314850.7838-2.78378
1326055.48454.51549
1335056.1768-6.17681
1346355.23247.76759
1353350.2861-17.2861
1366750.437416.5626
1374652.1176-6.11763
1385453.54290.457089
1395956.7932.20698
1406146.988914.0111
1413347.8838-14.8838
1424756.5528-9.55283
1436957.418811.5812
1445258.503-6.50296
1455555.2101-0.21009
1464146.3344-5.33437
1477347.219725.7803
1485250.67491.32509
1495050.697-0.697011
1505150.92380.0762092
1516059.79750.202509
1525650.94695.05308
1535651.96914.03092
1542951.6658-22.6658
1556650.837515.1625
1566649.803216.1968
1577352.69620.304
1585555.8036-0.803595
1596449.498914.5011
1604052.5012-12.5012
1614652.6289-6.62889
1625854.46063.53936
1634351.2644-8.26438
1646148.437412.5626
1655146.89384.10624
1665051.8774-1.87741
1675257.1745-5.17446
1685453.64590.35408
1696651.026214.9738
1706153.42617.57393
1718057.389622.6104
1725152.0881-1.08813
1735655.31880.681172
1745650.93145.0686
1755651.82574.17429
1765357.307-4.30704
1774748.497-1.49698
1782552.9929-27.9929
1794752.81-5.81003
1804652.8545-6.85453
1815049.32560.674417
1823949.9538-10.9538
1835155.6202-4.62024
1845856.04611.95391
1853552.1149-17.1149
1865851.77816.22194
1876053.21856.78155
1886254.64287.35717
1896353.22969.77037
1905354.9619-1.96191
1914650.2272-4.22716
1926757.49649.50359
1935948.505110.4949
1946453.813610.1864
1953847.7652-9.76524
1965044.24995.75009
1974856.8617-8.86171
1984851.1718-3.17182
1994751.9495-4.94952
2006652.688713.3113
2014734.929212.0708
2026345.307317.6927
2035854.76293.23709
2044455.4359-11.4359
2055159.2375-8.23745
2064353.875-10.875
2075553.9011.09901
2083844.0691-6.06907
2094557.4226-12.4226
2105057.0317-7.03169
2115451.7752.22497
2125756.48740.512554
2136056.63163.36842
2145558.0063-3.00626
2155658.4327-2.43272
2164947.22171.77831
2173750.5974-13.5974
2185956.78142.21856
2194653.3887-7.38871
2205153.1076-2.1076
2215859.7228-1.72282
2226456.88437.11565
2235350.02882.97125
2244856.5839-8.58394
2255156.7584-5.75843
2264751.1278-4.12775
2275952.83386.16624
2286255.30386.69619
2296257.59774.40233
2305155.0566-4.05659
2316454.90689.09324
2325252.6597-0.659662
2336759.09337.90669
2345057.4169-7.4169
2355452.99981.00016
2365848.97729.02284
2375655.08690.913142
2386357.51995.48012
2393137.0704-6.07044
2406554.04310.957
2417154.590516.4095
2425060.2343-10.2343
2435752.39384.60623
2444751.3653-4.36529
2454749.4594-2.45942
2465758.8434-1.84342
2474350.705-7.70501
2484150.8274-9.82739
2496354.75728.24285
2506354.56918.43087
2515656.8269-0.826863
2525153.957-2.95699
2535053.5708-3.57083
2542250.2436-28.2436
2554153.8407-12.8407
2565953.64825.35175
2575655.39510.604856
2586659.04576.95429
2595355.7579-2.75787
2604247.6582-5.65817
2615244.27587.7242
2625456.3288-2.32882
2634446.8071-2.80715
2646252.39389.60623
2655352.97570.0242773
2665048.37861.62136
2673645.9962-9.99618
2687659.764816.2352
2696654.22511.775
2706253.81418.18589
2715957.24741.75256
2724756.482-9.482
2735554.89480.105173
2745855.05062.94943
2756052.92917.07091
2764448.6144-4.61442
2775756.02890.971143
2784550.7871-5.7871

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 26 & 46.7861 & -20.7861 \tabularnewline
2 & 57 & 51.8907 & 5.10929 \tabularnewline
3 & 37 & 48.5453 & -11.5453 \tabularnewline
4 & 67 & 55.7447 & 11.2553 \tabularnewline
5 & 43 & 47.5117 & -4.51169 \tabularnewline
6 & 52 & 54.8491 & -2.84908 \tabularnewline
7 & 52 & 57.4624 & -5.46239 \tabularnewline
8 & 43 & 46.9094 & -3.90945 \tabularnewline
9 & 84 & 61.9787 & 22.0213 \tabularnewline
10 & 67 & 43.0309 & 23.9691 \tabularnewline
11 & 49 & 54.0736 & -5.07359 \tabularnewline
12 & 70 & 52.9716 & 17.0284 \tabularnewline
13 & 52 & 58.5009 & -6.50093 \tabularnewline
14 & 58 & 57.4725 & 0.527459 \tabularnewline
15 & 68 & 55.4886 & 12.5114 \tabularnewline
16 & 62 & 55.3758 & 6.62415 \tabularnewline
17 & 43 & 54.091 & -11.091 \tabularnewline
18 & 56 & 54.8749 & 1.12513 \tabularnewline
19 & 56 & 51.1238 & 4.87624 \tabularnewline
20 & 74 & 59.8142 & 14.1858 \tabularnewline
21 & 65 & 55.5434 & 9.45657 \tabularnewline
22 & 63 & 55.3614 & 7.63861 \tabularnewline
23 & 58 & 57.2807 & 0.719297 \tabularnewline
24 & 57 & 57.4433 & -0.443283 \tabularnewline
25 & 63 & 54.7044 & 8.29564 \tabularnewline
26 & 53 & 57.2702 & -4.27017 \tabularnewline
27 & 57 & 55.1644 & 1.83561 \tabularnewline
28 & 51 & 50.7041 & 0.295935 \tabularnewline
29 & 64 & 54.0799 & 9.92005 \tabularnewline
30 & 53 & 58.3339 & -5.33388 \tabularnewline
31 & 29 & 54.2108 & -25.2108 \tabularnewline
32 & 54 & 51.2567 & 2.7433 \tabularnewline
33 & 58 & 55.8846 & 2.11536 \tabularnewline
34 & 43 & 55.1561 & -12.1561 \tabularnewline
35 & 51 & 55.1335 & -4.13346 \tabularnewline
36 & 53 & 50.9066 & 2.09338 \tabularnewline
37 & 54 & 55.4943 & -1.4943 \tabularnewline
38 & 56 & 52.6913 & 3.30869 \tabularnewline
39 & 61 & 50.2865 & 10.7135 \tabularnewline
40 & 47 & 58.4405 & -11.4405 \tabularnewline
41 & 39 & 46.2157 & -7.21569 \tabularnewline
42 & 48 & 50.5733 & -2.5733 \tabularnewline
43 & 50 & 55.0864 & -5.08638 \tabularnewline
44 & 35 & 58.4429 & -23.4429 \tabularnewline
45 & 30 & 51.7622 & -21.7622 \tabularnewline
46 & 68 & 54.9171 & 13.0829 \tabularnewline
47 & 49 & 49.9504 & -0.950424 \tabularnewline
48 & 61 & 53.6461 & 7.35391 \tabularnewline
49 & 67 & 57.5759 & 9.42413 \tabularnewline
50 & 47 & 51.3121 & -4.31214 \tabularnewline
51 & 56 & 57.2127 & -1.2127 \tabularnewline
52 & 50 & 49.9441 & 0.055853 \tabularnewline
53 & 43 & 51.0216 & -8.02161 \tabularnewline
54 & 67 & 57.0947 & 9.90531 \tabularnewline
55 & 62 & 52.1983 & 9.80165 \tabularnewline
56 & 57 & 54.8138 & 2.1862 \tabularnewline
57 & 41 & 56.7931 & -15.7931 \tabularnewline
58 & 54 & 53.8892 & 0.110792 \tabularnewline
59 & 45 & 50.2151 & -5.21511 \tabularnewline
60 & 48 & 51.6615 & -3.66154 \tabularnewline
61 & 61 & 52.9324 & 8.06762 \tabularnewline
62 & 56 & 55.9263 & 0.0736896 \tabularnewline
63 & 41 & 56.463 & -15.463 \tabularnewline
64 & 43 & 53.0121 & -10.0121 \tabularnewline
65 & 53 & 51.5401 & 1.45987 \tabularnewline
66 & 44 & 50.2023 & -6.20227 \tabularnewline
67 & 66 & 57.5042 & 8.49577 \tabularnewline
68 & 58 & 52.9189 & 5.08114 \tabularnewline
69 & 46 & 54.8365 & -8.83649 \tabularnewline
70 & 37 & 52.1371 & -15.1371 \tabularnewline
71 & 51 & 51.2635 & -0.263531 \tabularnewline
72 & 51 & 52.4574 & -1.45737 \tabularnewline
73 & 56 & 49.4604 & 6.53955 \tabularnewline
74 & 66 & 48.7284 & 17.2716 \tabularnewline
75 & 37 & 59.0887 & -22.0887 \tabularnewline
76 & 42 & 54.6392 & -12.6392 \tabularnewline
77 & 38 & 50.0189 & -12.0189 \tabularnewline
78 & 66 & 54.1583 & 11.8417 \tabularnewline
79 & 34 & 53.1203 & -19.1203 \tabularnewline
80 & 53 & 54.8889 & -1.88886 \tabularnewline
81 & 49 & 52.6985 & -3.69847 \tabularnewline
82 & 55 & 56.5142 & -1.51416 \tabularnewline
83 & 49 & 55.2583 & -6.2583 \tabularnewline
84 & 59 & 54.2784 & 4.72156 \tabularnewline
85 & 40 & 50.1205 & -10.1205 \tabularnewline
86 & 58 & 52.1307 & 5.86934 \tabularnewline
87 & 60 & 52.4784 & 7.52157 \tabularnewline
88 & 63 & 57.755 & 5.24504 \tabularnewline
89 & 56 & 53.2936 & 2.70642 \tabularnewline
90 & 54 & 56.8071 & -2.80709 \tabularnewline
91 & 52 & 50.731 & 1.26898 \tabularnewline
92 & 34 & 52.0516 & -18.0516 \tabularnewline
93 & 69 & 54.342 & 14.658 \tabularnewline
94 & 32 & 52.0479 & -20.0479 \tabularnewline
95 & 48 & 49.748 & -1.74804 \tabularnewline
96 & 67 & 55.2339 & 11.7661 \tabularnewline
97 & 58 & 52.4586 & 5.54139 \tabularnewline
98 & 57 & 53.7277 & 3.27232 \tabularnewline
99 & 42 & 52.1228 & -10.1228 \tabularnewline
100 & 64 & 56.2521 & 7.74793 \tabularnewline
101 & 58 & 53.5804 & 4.41959 \tabularnewline
102 & 66 & 57.2593 & 8.74068 \tabularnewline
103 & 26 & 53.1684 & -27.1684 \tabularnewline
104 & 61 & 55.9129 & 5.08713 \tabularnewline
105 & 52 & 53.548 & -1.54804 \tabularnewline
106 & 51 & 51.2506 & -0.250556 \tabularnewline
107 & 55 & 49.9687 & 5.03128 \tabularnewline
108 & 50 & 55.1825 & -5.18247 \tabularnewline
109 & 60 & 51.4381 & 8.56191 \tabularnewline
110 & 56 & 50.849 & 5.151 \tabularnewline
111 & 63 & 54.5668 & 8.4332 \tabularnewline
112 & 61 & 52.8193 & 8.18074 \tabularnewline
113 & 52 & 44.4338 & 7.56622 \tabularnewline
114 & 16 & 47.6147 & -31.6147 \tabularnewline
115 & 46 & 54.9718 & -8.97178 \tabularnewline
116 & 56 & 55.9129 & 0.0870639 \tabularnewline
117 & 52 & 49.5782 & 2.42184 \tabularnewline
118 & 55 & 47.937 & 7.06297 \tabularnewline
119 & 50 & 50.3116 & -0.311645 \tabularnewline
120 & 59 & 53.44 & 5.55999 \tabularnewline
121 & 60 & 54.9209 & 5.07915 \tabularnewline
122 & 52 & 52.0245 & -0.0244734 \tabularnewline
123 & 44 & 46.0058 & -2.0058 \tabularnewline
124 & 67 & 56.5717 & 10.4283 \tabularnewline
125 & 52 & 51.8891 & 0.110917 \tabularnewline
126 & 55 & 54.0988 & 0.901166 \tabularnewline
127 & 37 & 53.2015 & -16.2015 \tabularnewline
128 & 54 & 52.681 & 1.31897 \tabularnewline
129 & 72 & 56.4957 & 15.5043 \tabularnewline
130 & 51 & 51.8411 & -0.8411 \tabularnewline
131 & 48 & 50.7838 & -2.78378 \tabularnewline
132 & 60 & 55.4845 & 4.51549 \tabularnewline
133 & 50 & 56.1768 & -6.17681 \tabularnewline
134 & 63 & 55.2324 & 7.76759 \tabularnewline
135 & 33 & 50.2861 & -17.2861 \tabularnewline
136 & 67 & 50.4374 & 16.5626 \tabularnewline
137 & 46 & 52.1176 & -6.11763 \tabularnewline
138 & 54 & 53.5429 & 0.457089 \tabularnewline
139 & 59 & 56.793 & 2.20698 \tabularnewline
140 & 61 & 46.9889 & 14.0111 \tabularnewline
141 & 33 & 47.8838 & -14.8838 \tabularnewline
142 & 47 & 56.5528 & -9.55283 \tabularnewline
143 & 69 & 57.4188 & 11.5812 \tabularnewline
144 & 52 & 58.503 & -6.50296 \tabularnewline
145 & 55 & 55.2101 & -0.21009 \tabularnewline
146 & 41 & 46.3344 & -5.33437 \tabularnewline
147 & 73 & 47.2197 & 25.7803 \tabularnewline
148 & 52 & 50.6749 & 1.32509 \tabularnewline
149 & 50 & 50.697 & -0.697011 \tabularnewline
150 & 51 & 50.9238 & 0.0762092 \tabularnewline
151 & 60 & 59.7975 & 0.202509 \tabularnewline
152 & 56 & 50.9469 & 5.05308 \tabularnewline
153 & 56 & 51.9691 & 4.03092 \tabularnewline
154 & 29 & 51.6658 & -22.6658 \tabularnewline
155 & 66 & 50.8375 & 15.1625 \tabularnewline
156 & 66 & 49.8032 & 16.1968 \tabularnewline
157 & 73 & 52.696 & 20.304 \tabularnewline
158 & 55 & 55.8036 & -0.803595 \tabularnewline
159 & 64 & 49.4989 & 14.5011 \tabularnewline
160 & 40 & 52.5012 & -12.5012 \tabularnewline
161 & 46 & 52.6289 & -6.62889 \tabularnewline
162 & 58 & 54.4606 & 3.53936 \tabularnewline
163 & 43 & 51.2644 & -8.26438 \tabularnewline
164 & 61 & 48.4374 & 12.5626 \tabularnewline
165 & 51 & 46.8938 & 4.10624 \tabularnewline
166 & 50 & 51.8774 & -1.87741 \tabularnewline
167 & 52 & 57.1745 & -5.17446 \tabularnewline
168 & 54 & 53.6459 & 0.35408 \tabularnewline
169 & 66 & 51.0262 & 14.9738 \tabularnewline
170 & 61 & 53.4261 & 7.57393 \tabularnewline
171 & 80 & 57.3896 & 22.6104 \tabularnewline
172 & 51 & 52.0881 & -1.08813 \tabularnewline
173 & 56 & 55.3188 & 0.681172 \tabularnewline
174 & 56 & 50.9314 & 5.0686 \tabularnewline
175 & 56 & 51.8257 & 4.17429 \tabularnewline
176 & 53 & 57.307 & -4.30704 \tabularnewline
177 & 47 & 48.497 & -1.49698 \tabularnewline
178 & 25 & 52.9929 & -27.9929 \tabularnewline
179 & 47 & 52.81 & -5.81003 \tabularnewline
180 & 46 & 52.8545 & -6.85453 \tabularnewline
181 & 50 & 49.3256 & 0.674417 \tabularnewline
182 & 39 & 49.9538 & -10.9538 \tabularnewline
183 & 51 & 55.6202 & -4.62024 \tabularnewline
184 & 58 & 56.0461 & 1.95391 \tabularnewline
185 & 35 & 52.1149 & -17.1149 \tabularnewline
186 & 58 & 51.7781 & 6.22194 \tabularnewline
187 & 60 & 53.2185 & 6.78155 \tabularnewline
188 & 62 & 54.6428 & 7.35717 \tabularnewline
189 & 63 & 53.2296 & 9.77037 \tabularnewline
190 & 53 & 54.9619 & -1.96191 \tabularnewline
191 & 46 & 50.2272 & -4.22716 \tabularnewline
192 & 67 & 57.4964 & 9.50359 \tabularnewline
193 & 59 & 48.5051 & 10.4949 \tabularnewline
194 & 64 & 53.8136 & 10.1864 \tabularnewline
195 & 38 & 47.7652 & -9.76524 \tabularnewline
196 & 50 & 44.2499 & 5.75009 \tabularnewline
197 & 48 & 56.8617 & -8.86171 \tabularnewline
198 & 48 & 51.1718 & -3.17182 \tabularnewline
199 & 47 & 51.9495 & -4.94952 \tabularnewline
200 & 66 & 52.6887 & 13.3113 \tabularnewline
201 & 47 & 34.9292 & 12.0708 \tabularnewline
202 & 63 & 45.3073 & 17.6927 \tabularnewline
203 & 58 & 54.7629 & 3.23709 \tabularnewline
204 & 44 & 55.4359 & -11.4359 \tabularnewline
205 & 51 & 59.2375 & -8.23745 \tabularnewline
206 & 43 & 53.875 & -10.875 \tabularnewline
207 & 55 & 53.901 & 1.09901 \tabularnewline
208 & 38 & 44.0691 & -6.06907 \tabularnewline
209 & 45 & 57.4226 & -12.4226 \tabularnewline
210 & 50 & 57.0317 & -7.03169 \tabularnewline
211 & 54 & 51.775 & 2.22497 \tabularnewline
212 & 57 & 56.4874 & 0.512554 \tabularnewline
213 & 60 & 56.6316 & 3.36842 \tabularnewline
214 & 55 & 58.0063 & -3.00626 \tabularnewline
215 & 56 & 58.4327 & -2.43272 \tabularnewline
216 & 49 & 47.2217 & 1.77831 \tabularnewline
217 & 37 & 50.5974 & -13.5974 \tabularnewline
218 & 59 & 56.7814 & 2.21856 \tabularnewline
219 & 46 & 53.3887 & -7.38871 \tabularnewline
220 & 51 & 53.1076 & -2.1076 \tabularnewline
221 & 58 & 59.7228 & -1.72282 \tabularnewline
222 & 64 & 56.8843 & 7.11565 \tabularnewline
223 & 53 & 50.0288 & 2.97125 \tabularnewline
224 & 48 & 56.5839 & -8.58394 \tabularnewline
225 & 51 & 56.7584 & -5.75843 \tabularnewline
226 & 47 & 51.1278 & -4.12775 \tabularnewline
227 & 59 & 52.8338 & 6.16624 \tabularnewline
228 & 62 & 55.3038 & 6.69619 \tabularnewline
229 & 62 & 57.5977 & 4.40233 \tabularnewline
230 & 51 & 55.0566 & -4.05659 \tabularnewline
231 & 64 & 54.9068 & 9.09324 \tabularnewline
232 & 52 & 52.6597 & -0.659662 \tabularnewline
233 & 67 & 59.0933 & 7.90669 \tabularnewline
234 & 50 & 57.4169 & -7.4169 \tabularnewline
235 & 54 & 52.9998 & 1.00016 \tabularnewline
236 & 58 & 48.9772 & 9.02284 \tabularnewline
237 & 56 & 55.0869 & 0.913142 \tabularnewline
238 & 63 & 57.5199 & 5.48012 \tabularnewline
239 & 31 & 37.0704 & -6.07044 \tabularnewline
240 & 65 & 54.043 & 10.957 \tabularnewline
241 & 71 & 54.5905 & 16.4095 \tabularnewline
242 & 50 & 60.2343 & -10.2343 \tabularnewline
243 & 57 & 52.3938 & 4.60623 \tabularnewline
244 & 47 & 51.3653 & -4.36529 \tabularnewline
245 & 47 & 49.4594 & -2.45942 \tabularnewline
246 & 57 & 58.8434 & -1.84342 \tabularnewline
247 & 43 & 50.705 & -7.70501 \tabularnewline
248 & 41 & 50.8274 & -9.82739 \tabularnewline
249 & 63 & 54.7572 & 8.24285 \tabularnewline
250 & 63 & 54.5691 & 8.43087 \tabularnewline
251 & 56 & 56.8269 & -0.826863 \tabularnewline
252 & 51 & 53.957 & -2.95699 \tabularnewline
253 & 50 & 53.5708 & -3.57083 \tabularnewline
254 & 22 & 50.2436 & -28.2436 \tabularnewline
255 & 41 & 53.8407 & -12.8407 \tabularnewline
256 & 59 & 53.6482 & 5.35175 \tabularnewline
257 & 56 & 55.3951 & 0.604856 \tabularnewline
258 & 66 & 59.0457 & 6.95429 \tabularnewline
259 & 53 & 55.7579 & -2.75787 \tabularnewline
260 & 42 & 47.6582 & -5.65817 \tabularnewline
261 & 52 & 44.2758 & 7.7242 \tabularnewline
262 & 54 & 56.3288 & -2.32882 \tabularnewline
263 & 44 & 46.8071 & -2.80715 \tabularnewline
264 & 62 & 52.3938 & 9.60623 \tabularnewline
265 & 53 & 52.9757 & 0.0242773 \tabularnewline
266 & 50 & 48.3786 & 1.62136 \tabularnewline
267 & 36 & 45.9962 & -9.99618 \tabularnewline
268 & 76 & 59.7648 & 16.2352 \tabularnewline
269 & 66 & 54.225 & 11.775 \tabularnewline
270 & 62 & 53.8141 & 8.18589 \tabularnewline
271 & 59 & 57.2474 & 1.75256 \tabularnewline
272 & 47 & 56.482 & -9.482 \tabularnewline
273 & 55 & 54.8948 & 0.105173 \tabularnewline
274 & 58 & 55.0506 & 2.94943 \tabularnewline
275 & 60 & 52.9291 & 7.07091 \tabularnewline
276 & 44 & 48.6144 & -4.61442 \tabularnewline
277 & 57 & 56.0289 & 0.971143 \tabularnewline
278 & 45 & 50.7871 & -5.7871 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269878&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]46.7861[/C][C]-20.7861[/C][/ROW]
[ROW][C]2[/C][C]57[/C][C]51.8907[/C][C]5.10929[/C][/ROW]
[ROW][C]3[/C][C]37[/C][C]48.5453[/C][C]-11.5453[/C][/ROW]
[ROW][C]4[/C][C]67[/C][C]55.7447[/C][C]11.2553[/C][/ROW]
[ROW][C]5[/C][C]43[/C][C]47.5117[/C][C]-4.51169[/C][/ROW]
[ROW][C]6[/C][C]52[/C][C]54.8491[/C][C]-2.84908[/C][/ROW]
[ROW][C]7[/C][C]52[/C][C]57.4624[/C][C]-5.46239[/C][/ROW]
[ROW][C]8[/C][C]43[/C][C]46.9094[/C][C]-3.90945[/C][/ROW]
[ROW][C]9[/C][C]84[/C][C]61.9787[/C][C]22.0213[/C][/ROW]
[ROW][C]10[/C][C]67[/C][C]43.0309[/C][C]23.9691[/C][/ROW]
[ROW][C]11[/C][C]49[/C][C]54.0736[/C][C]-5.07359[/C][/ROW]
[ROW][C]12[/C][C]70[/C][C]52.9716[/C][C]17.0284[/C][/ROW]
[ROW][C]13[/C][C]52[/C][C]58.5009[/C][C]-6.50093[/C][/ROW]
[ROW][C]14[/C][C]58[/C][C]57.4725[/C][C]0.527459[/C][/ROW]
[ROW][C]15[/C][C]68[/C][C]55.4886[/C][C]12.5114[/C][/ROW]
[ROW][C]16[/C][C]62[/C][C]55.3758[/C][C]6.62415[/C][/ROW]
[ROW][C]17[/C][C]43[/C][C]54.091[/C][C]-11.091[/C][/ROW]
[ROW][C]18[/C][C]56[/C][C]54.8749[/C][C]1.12513[/C][/ROW]
[ROW][C]19[/C][C]56[/C][C]51.1238[/C][C]4.87624[/C][/ROW]
[ROW][C]20[/C][C]74[/C][C]59.8142[/C][C]14.1858[/C][/ROW]
[ROW][C]21[/C][C]65[/C][C]55.5434[/C][C]9.45657[/C][/ROW]
[ROW][C]22[/C][C]63[/C][C]55.3614[/C][C]7.63861[/C][/ROW]
[ROW][C]23[/C][C]58[/C][C]57.2807[/C][C]0.719297[/C][/ROW]
[ROW][C]24[/C][C]57[/C][C]57.4433[/C][C]-0.443283[/C][/ROW]
[ROW][C]25[/C][C]63[/C][C]54.7044[/C][C]8.29564[/C][/ROW]
[ROW][C]26[/C][C]53[/C][C]57.2702[/C][C]-4.27017[/C][/ROW]
[ROW][C]27[/C][C]57[/C][C]55.1644[/C][C]1.83561[/C][/ROW]
[ROW][C]28[/C][C]51[/C][C]50.7041[/C][C]0.295935[/C][/ROW]
[ROW][C]29[/C][C]64[/C][C]54.0799[/C][C]9.92005[/C][/ROW]
[ROW][C]30[/C][C]53[/C][C]58.3339[/C][C]-5.33388[/C][/ROW]
[ROW][C]31[/C][C]29[/C][C]54.2108[/C][C]-25.2108[/C][/ROW]
[ROW][C]32[/C][C]54[/C][C]51.2567[/C][C]2.7433[/C][/ROW]
[ROW][C]33[/C][C]58[/C][C]55.8846[/C][C]2.11536[/C][/ROW]
[ROW][C]34[/C][C]43[/C][C]55.1561[/C][C]-12.1561[/C][/ROW]
[ROW][C]35[/C][C]51[/C][C]55.1335[/C][C]-4.13346[/C][/ROW]
[ROW][C]36[/C][C]53[/C][C]50.9066[/C][C]2.09338[/C][/ROW]
[ROW][C]37[/C][C]54[/C][C]55.4943[/C][C]-1.4943[/C][/ROW]
[ROW][C]38[/C][C]56[/C][C]52.6913[/C][C]3.30869[/C][/ROW]
[ROW][C]39[/C][C]61[/C][C]50.2865[/C][C]10.7135[/C][/ROW]
[ROW][C]40[/C][C]47[/C][C]58.4405[/C][C]-11.4405[/C][/ROW]
[ROW][C]41[/C][C]39[/C][C]46.2157[/C][C]-7.21569[/C][/ROW]
[ROW][C]42[/C][C]48[/C][C]50.5733[/C][C]-2.5733[/C][/ROW]
[ROW][C]43[/C][C]50[/C][C]55.0864[/C][C]-5.08638[/C][/ROW]
[ROW][C]44[/C][C]35[/C][C]58.4429[/C][C]-23.4429[/C][/ROW]
[ROW][C]45[/C][C]30[/C][C]51.7622[/C][C]-21.7622[/C][/ROW]
[ROW][C]46[/C][C]68[/C][C]54.9171[/C][C]13.0829[/C][/ROW]
[ROW][C]47[/C][C]49[/C][C]49.9504[/C][C]-0.950424[/C][/ROW]
[ROW][C]48[/C][C]61[/C][C]53.6461[/C][C]7.35391[/C][/ROW]
[ROW][C]49[/C][C]67[/C][C]57.5759[/C][C]9.42413[/C][/ROW]
[ROW][C]50[/C][C]47[/C][C]51.3121[/C][C]-4.31214[/C][/ROW]
[ROW][C]51[/C][C]56[/C][C]57.2127[/C][C]-1.2127[/C][/ROW]
[ROW][C]52[/C][C]50[/C][C]49.9441[/C][C]0.055853[/C][/ROW]
[ROW][C]53[/C][C]43[/C][C]51.0216[/C][C]-8.02161[/C][/ROW]
[ROW][C]54[/C][C]67[/C][C]57.0947[/C][C]9.90531[/C][/ROW]
[ROW][C]55[/C][C]62[/C][C]52.1983[/C][C]9.80165[/C][/ROW]
[ROW][C]56[/C][C]57[/C][C]54.8138[/C][C]2.1862[/C][/ROW]
[ROW][C]57[/C][C]41[/C][C]56.7931[/C][C]-15.7931[/C][/ROW]
[ROW][C]58[/C][C]54[/C][C]53.8892[/C][C]0.110792[/C][/ROW]
[ROW][C]59[/C][C]45[/C][C]50.2151[/C][C]-5.21511[/C][/ROW]
[ROW][C]60[/C][C]48[/C][C]51.6615[/C][C]-3.66154[/C][/ROW]
[ROW][C]61[/C][C]61[/C][C]52.9324[/C][C]8.06762[/C][/ROW]
[ROW][C]62[/C][C]56[/C][C]55.9263[/C][C]0.0736896[/C][/ROW]
[ROW][C]63[/C][C]41[/C][C]56.463[/C][C]-15.463[/C][/ROW]
[ROW][C]64[/C][C]43[/C][C]53.0121[/C][C]-10.0121[/C][/ROW]
[ROW][C]65[/C][C]53[/C][C]51.5401[/C][C]1.45987[/C][/ROW]
[ROW][C]66[/C][C]44[/C][C]50.2023[/C][C]-6.20227[/C][/ROW]
[ROW][C]67[/C][C]66[/C][C]57.5042[/C][C]8.49577[/C][/ROW]
[ROW][C]68[/C][C]58[/C][C]52.9189[/C][C]5.08114[/C][/ROW]
[ROW][C]69[/C][C]46[/C][C]54.8365[/C][C]-8.83649[/C][/ROW]
[ROW][C]70[/C][C]37[/C][C]52.1371[/C][C]-15.1371[/C][/ROW]
[ROW][C]71[/C][C]51[/C][C]51.2635[/C][C]-0.263531[/C][/ROW]
[ROW][C]72[/C][C]51[/C][C]52.4574[/C][C]-1.45737[/C][/ROW]
[ROW][C]73[/C][C]56[/C][C]49.4604[/C][C]6.53955[/C][/ROW]
[ROW][C]74[/C][C]66[/C][C]48.7284[/C][C]17.2716[/C][/ROW]
[ROW][C]75[/C][C]37[/C][C]59.0887[/C][C]-22.0887[/C][/ROW]
[ROW][C]76[/C][C]42[/C][C]54.6392[/C][C]-12.6392[/C][/ROW]
[ROW][C]77[/C][C]38[/C][C]50.0189[/C][C]-12.0189[/C][/ROW]
[ROW][C]78[/C][C]66[/C][C]54.1583[/C][C]11.8417[/C][/ROW]
[ROW][C]79[/C][C]34[/C][C]53.1203[/C][C]-19.1203[/C][/ROW]
[ROW][C]80[/C][C]53[/C][C]54.8889[/C][C]-1.88886[/C][/ROW]
[ROW][C]81[/C][C]49[/C][C]52.6985[/C][C]-3.69847[/C][/ROW]
[ROW][C]82[/C][C]55[/C][C]56.5142[/C][C]-1.51416[/C][/ROW]
[ROW][C]83[/C][C]49[/C][C]55.2583[/C][C]-6.2583[/C][/ROW]
[ROW][C]84[/C][C]59[/C][C]54.2784[/C][C]4.72156[/C][/ROW]
[ROW][C]85[/C][C]40[/C][C]50.1205[/C][C]-10.1205[/C][/ROW]
[ROW][C]86[/C][C]58[/C][C]52.1307[/C][C]5.86934[/C][/ROW]
[ROW][C]87[/C][C]60[/C][C]52.4784[/C][C]7.52157[/C][/ROW]
[ROW][C]88[/C][C]63[/C][C]57.755[/C][C]5.24504[/C][/ROW]
[ROW][C]89[/C][C]56[/C][C]53.2936[/C][C]2.70642[/C][/ROW]
[ROW][C]90[/C][C]54[/C][C]56.8071[/C][C]-2.80709[/C][/ROW]
[ROW][C]91[/C][C]52[/C][C]50.731[/C][C]1.26898[/C][/ROW]
[ROW][C]92[/C][C]34[/C][C]52.0516[/C][C]-18.0516[/C][/ROW]
[ROW][C]93[/C][C]69[/C][C]54.342[/C][C]14.658[/C][/ROW]
[ROW][C]94[/C][C]32[/C][C]52.0479[/C][C]-20.0479[/C][/ROW]
[ROW][C]95[/C][C]48[/C][C]49.748[/C][C]-1.74804[/C][/ROW]
[ROW][C]96[/C][C]67[/C][C]55.2339[/C][C]11.7661[/C][/ROW]
[ROW][C]97[/C][C]58[/C][C]52.4586[/C][C]5.54139[/C][/ROW]
[ROW][C]98[/C][C]57[/C][C]53.7277[/C][C]3.27232[/C][/ROW]
[ROW][C]99[/C][C]42[/C][C]52.1228[/C][C]-10.1228[/C][/ROW]
[ROW][C]100[/C][C]64[/C][C]56.2521[/C][C]7.74793[/C][/ROW]
[ROW][C]101[/C][C]58[/C][C]53.5804[/C][C]4.41959[/C][/ROW]
[ROW][C]102[/C][C]66[/C][C]57.2593[/C][C]8.74068[/C][/ROW]
[ROW][C]103[/C][C]26[/C][C]53.1684[/C][C]-27.1684[/C][/ROW]
[ROW][C]104[/C][C]61[/C][C]55.9129[/C][C]5.08713[/C][/ROW]
[ROW][C]105[/C][C]52[/C][C]53.548[/C][C]-1.54804[/C][/ROW]
[ROW][C]106[/C][C]51[/C][C]51.2506[/C][C]-0.250556[/C][/ROW]
[ROW][C]107[/C][C]55[/C][C]49.9687[/C][C]5.03128[/C][/ROW]
[ROW][C]108[/C][C]50[/C][C]55.1825[/C][C]-5.18247[/C][/ROW]
[ROW][C]109[/C][C]60[/C][C]51.4381[/C][C]8.56191[/C][/ROW]
[ROW][C]110[/C][C]56[/C][C]50.849[/C][C]5.151[/C][/ROW]
[ROW][C]111[/C][C]63[/C][C]54.5668[/C][C]8.4332[/C][/ROW]
[ROW][C]112[/C][C]61[/C][C]52.8193[/C][C]8.18074[/C][/ROW]
[ROW][C]113[/C][C]52[/C][C]44.4338[/C][C]7.56622[/C][/ROW]
[ROW][C]114[/C][C]16[/C][C]47.6147[/C][C]-31.6147[/C][/ROW]
[ROW][C]115[/C][C]46[/C][C]54.9718[/C][C]-8.97178[/C][/ROW]
[ROW][C]116[/C][C]56[/C][C]55.9129[/C][C]0.0870639[/C][/ROW]
[ROW][C]117[/C][C]52[/C][C]49.5782[/C][C]2.42184[/C][/ROW]
[ROW][C]118[/C][C]55[/C][C]47.937[/C][C]7.06297[/C][/ROW]
[ROW][C]119[/C][C]50[/C][C]50.3116[/C][C]-0.311645[/C][/ROW]
[ROW][C]120[/C][C]59[/C][C]53.44[/C][C]5.55999[/C][/ROW]
[ROW][C]121[/C][C]60[/C][C]54.9209[/C][C]5.07915[/C][/ROW]
[ROW][C]122[/C][C]52[/C][C]52.0245[/C][C]-0.0244734[/C][/ROW]
[ROW][C]123[/C][C]44[/C][C]46.0058[/C][C]-2.0058[/C][/ROW]
[ROW][C]124[/C][C]67[/C][C]56.5717[/C][C]10.4283[/C][/ROW]
[ROW][C]125[/C][C]52[/C][C]51.8891[/C][C]0.110917[/C][/ROW]
[ROW][C]126[/C][C]55[/C][C]54.0988[/C][C]0.901166[/C][/ROW]
[ROW][C]127[/C][C]37[/C][C]53.2015[/C][C]-16.2015[/C][/ROW]
[ROW][C]128[/C][C]54[/C][C]52.681[/C][C]1.31897[/C][/ROW]
[ROW][C]129[/C][C]72[/C][C]56.4957[/C][C]15.5043[/C][/ROW]
[ROW][C]130[/C][C]51[/C][C]51.8411[/C][C]-0.8411[/C][/ROW]
[ROW][C]131[/C][C]48[/C][C]50.7838[/C][C]-2.78378[/C][/ROW]
[ROW][C]132[/C][C]60[/C][C]55.4845[/C][C]4.51549[/C][/ROW]
[ROW][C]133[/C][C]50[/C][C]56.1768[/C][C]-6.17681[/C][/ROW]
[ROW][C]134[/C][C]63[/C][C]55.2324[/C][C]7.76759[/C][/ROW]
[ROW][C]135[/C][C]33[/C][C]50.2861[/C][C]-17.2861[/C][/ROW]
[ROW][C]136[/C][C]67[/C][C]50.4374[/C][C]16.5626[/C][/ROW]
[ROW][C]137[/C][C]46[/C][C]52.1176[/C][C]-6.11763[/C][/ROW]
[ROW][C]138[/C][C]54[/C][C]53.5429[/C][C]0.457089[/C][/ROW]
[ROW][C]139[/C][C]59[/C][C]56.793[/C][C]2.20698[/C][/ROW]
[ROW][C]140[/C][C]61[/C][C]46.9889[/C][C]14.0111[/C][/ROW]
[ROW][C]141[/C][C]33[/C][C]47.8838[/C][C]-14.8838[/C][/ROW]
[ROW][C]142[/C][C]47[/C][C]56.5528[/C][C]-9.55283[/C][/ROW]
[ROW][C]143[/C][C]69[/C][C]57.4188[/C][C]11.5812[/C][/ROW]
[ROW][C]144[/C][C]52[/C][C]58.503[/C][C]-6.50296[/C][/ROW]
[ROW][C]145[/C][C]55[/C][C]55.2101[/C][C]-0.21009[/C][/ROW]
[ROW][C]146[/C][C]41[/C][C]46.3344[/C][C]-5.33437[/C][/ROW]
[ROW][C]147[/C][C]73[/C][C]47.2197[/C][C]25.7803[/C][/ROW]
[ROW][C]148[/C][C]52[/C][C]50.6749[/C][C]1.32509[/C][/ROW]
[ROW][C]149[/C][C]50[/C][C]50.697[/C][C]-0.697011[/C][/ROW]
[ROW][C]150[/C][C]51[/C][C]50.9238[/C][C]0.0762092[/C][/ROW]
[ROW][C]151[/C][C]60[/C][C]59.7975[/C][C]0.202509[/C][/ROW]
[ROW][C]152[/C][C]56[/C][C]50.9469[/C][C]5.05308[/C][/ROW]
[ROW][C]153[/C][C]56[/C][C]51.9691[/C][C]4.03092[/C][/ROW]
[ROW][C]154[/C][C]29[/C][C]51.6658[/C][C]-22.6658[/C][/ROW]
[ROW][C]155[/C][C]66[/C][C]50.8375[/C][C]15.1625[/C][/ROW]
[ROW][C]156[/C][C]66[/C][C]49.8032[/C][C]16.1968[/C][/ROW]
[ROW][C]157[/C][C]73[/C][C]52.696[/C][C]20.304[/C][/ROW]
[ROW][C]158[/C][C]55[/C][C]55.8036[/C][C]-0.803595[/C][/ROW]
[ROW][C]159[/C][C]64[/C][C]49.4989[/C][C]14.5011[/C][/ROW]
[ROW][C]160[/C][C]40[/C][C]52.5012[/C][C]-12.5012[/C][/ROW]
[ROW][C]161[/C][C]46[/C][C]52.6289[/C][C]-6.62889[/C][/ROW]
[ROW][C]162[/C][C]58[/C][C]54.4606[/C][C]3.53936[/C][/ROW]
[ROW][C]163[/C][C]43[/C][C]51.2644[/C][C]-8.26438[/C][/ROW]
[ROW][C]164[/C][C]61[/C][C]48.4374[/C][C]12.5626[/C][/ROW]
[ROW][C]165[/C][C]51[/C][C]46.8938[/C][C]4.10624[/C][/ROW]
[ROW][C]166[/C][C]50[/C][C]51.8774[/C][C]-1.87741[/C][/ROW]
[ROW][C]167[/C][C]52[/C][C]57.1745[/C][C]-5.17446[/C][/ROW]
[ROW][C]168[/C][C]54[/C][C]53.6459[/C][C]0.35408[/C][/ROW]
[ROW][C]169[/C][C]66[/C][C]51.0262[/C][C]14.9738[/C][/ROW]
[ROW][C]170[/C][C]61[/C][C]53.4261[/C][C]7.57393[/C][/ROW]
[ROW][C]171[/C][C]80[/C][C]57.3896[/C][C]22.6104[/C][/ROW]
[ROW][C]172[/C][C]51[/C][C]52.0881[/C][C]-1.08813[/C][/ROW]
[ROW][C]173[/C][C]56[/C][C]55.3188[/C][C]0.681172[/C][/ROW]
[ROW][C]174[/C][C]56[/C][C]50.9314[/C][C]5.0686[/C][/ROW]
[ROW][C]175[/C][C]56[/C][C]51.8257[/C][C]4.17429[/C][/ROW]
[ROW][C]176[/C][C]53[/C][C]57.307[/C][C]-4.30704[/C][/ROW]
[ROW][C]177[/C][C]47[/C][C]48.497[/C][C]-1.49698[/C][/ROW]
[ROW][C]178[/C][C]25[/C][C]52.9929[/C][C]-27.9929[/C][/ROW]
[ROW][C]179[/C][C]47[/C][C]52.81[/C][C]-5.81003[/C][/ROW]
[ROW][C]180[/C][C]46[/C][C]52.8545[/C][C]-6.85453[/C][/ROW]
[ROW][C]181[/C][C]50[/C][C]49.3256[/C][C]0.674417[/C][/ROW]
[ROW][C]182[/C][C]39[/C][C]49.9538[/C][C]-10.9538[/C][/ROW]
[ROW][C]183[/C][C]51[/C][C]55.6202[/C][C]-4.62024[/C][/ROW]
[ROW][C]184[/C][C]58[/C][C]56.0461[/C][C]1.95391[/C][/ROW]
[ROW][C]185[/C][C]35[/C][C]52.1149[/C][C]-17.1149[/C][/ROW]
[ROW][C]186[/C][C]58[/C][C]51.7781[/C][C]6.22194[/C][/ROW]
[ROW][C]187[/C][C]60[/C][C]53.2185[/C][C]6.78155[/C][/ROW]
[ROW][C]188[/C][C]62[/C][C]54.6428[/C][C]7.35717[/C][/ROW]
[ROW][C]189[/C][C]63[/C][C]53.2296[/C][C]9.77037[/C][/ROW]
[ROW][C]190[/C][C]53[/C][C]54.9619[/C][C]-1.96191[/C][/ROW]
[ROW][C]191[/C][C]46[/C][C]50.2272[/C][C]-4.22716[/C][/ROW]
[ROW][C]192[/C][C]67[/C][C]57.4964[/C][C]9.50359[/C][/ROW]
[ROW][C]193[/C][C]59[/C][C]48.5051[/C][C]10.4949[/C][/ROW]
[ROW][C]194[/C][C]64[/C][C]53.8136[/C][C]10.1864[/C][/ROW]
[ROW][C]195[/C][C]38[/C][C]47.7652[/C][C]-9.76524[/C][/ROW]
[ROW][C]196[/C][C]50[/C][C]44.2499[/C][C]5.75009[/C][/ROW]
[ROW][C]197[/C][C]48[/C][C]56.8617[/C][C]-8.86171[/C][/ROW]
[ROW][C]198[/C][C]48[/C][C]51.1718[/C][C]-3.17182[/C][/ROW]
[ROW][C]199[/C][C]47[/C][C]51.9495[/C][C]-4.94952[/C][/ROW]
[ROW][C]200[/C][C]66[/C][C]52.6887[/C][C]13.3113[/C][/ROW]
[ROW][C]201[/C][C]47[/C][C]34.9292[/C][C]12.0708[/C][/ROW]
[ROW][C]202[/C][C]63[/C][C]45.3073[/C][C]17.6927[/C][/ROW]
[ROW][C]203[/C][C]58[/C][C]54.7629[/C][C]3.23709[/C][/ROW]
[ROW][C]204[/C][C]44[/C][C]55.4359[/C][C]-11.4359[/C][/ROW]
[ROW][C]205[/C][C]51[/C][C]59.2375[/C][C]-8.23745[/C][/ROW]
[ROW][C]206[/C][C]43[/C][C]53.875[/C][C]-10.875[/C][/ROW]
[ROW][C]207[/C][C]55[/C][C]53.901[/C][C]1.09901[/C][/ROW]
[ROW][C]208[/C][C]38[/C][C]44.0691[/C][C]-6.06907[/C][/ROW]
[ROW][C]209[/C][C]45[/C][C]57.4226[/C][C]-12.4226[/C][/ROW]
[ROW][C]210[/C][C]50[/C][C]57.0317[/C][C]-7.03169[/C][/ROW]
[ROW][C]211[/C][C]54[/C][C]51.775[/C][C]2.22497[/C][/ROW]
[ROW][C]212[/C][C]57[/C][C]56.4874[/C][C]0.512554[/C][/ROW]
[ROW][C]213[/C][C]60[/C][C]56.6316[/C][C]3.36842[/C][/ROW]
[ROW][C]214[/C][C]55[/C][C]58.0063[/C][C]-3.00626[/C][/ROW]
[ROW][C]215[/C][C]56[/C][C]58.4327[/C][C]-2.43272[/C][/ROW]
[ROW][C]216[/C][C]49[/C][C]47.2217[/C][C]1.77831[/C][/ROW]
[ROW][C]217[/C][C]37[/C][C]50.5974[/C][C]-13.5974[/C][/ROW]
[ROW][C]218[/C][C]59[/C][C]56.7814[/C][C]2.21856[/C][/ROW]
[ROW][C]219[/C][C]46[/C][C]53.3887[/C][C]-7.38871[/C][/ROW]
[ROW][C]220[/C][C]51[/C][C]53.1076[/C][C]-2.1076[/C][/ROW]
[ROW][C]221[/C][C]58[/C][C]59.7228[/C][C]-1.72282[/C][/ROW]
[ROW][C]222[/C][C]64[/C][C]56.8843[/C][C]7.11565[/C][/ROW]
[ROW][C]223[/C][C]53[/C][C]50.0288[/C][C]2.97125[/C][/ROW]
[ROW][C]224[/C][C]48[/C][C]56.5839[/C][C]-8.58394[/C][/ROW]
[ROW][C]225[/C][C]51[/C][C]56.7584[/C][C]-5.75843[/C][/ROW]
[ROW][C]226[/C][C]47[/C][C]51.1278[/C][C]-4.12775[/C][/ROW]
[ROW][C]227[/C][C]59[/C][C]52.8338[/C][C]6.16624[/C][/ROW]
[ROW][C]228[/C][C]62[/C][C]55.3038[/C][C]6.69619[/C][/ROW]
[ROW][C]229[/C][C]62[/C][C]57.5977[/C][C]4.40233[/C][/ROW]
[ROW][C]230[/C][C]51[/C][C]55.0566[/C][C]-4.05659[/C][/ROW]
[ROW][C]231[/C][C]64[/C][C]54.9068[/C][C]9.09324[/C][/ROW]
[ROW][C]232[/C][C]52[/C][C]52.6597[/C][C]-0.659662[/C][/ROW]
[ROW][C]233[/C][C]67[/C][C]59.0933[/C][C]7.90669[/C][/ROW]
[ROW][C]234[/C][C]50[/C][C]57.4169[/C][C]-7.4169[/C][/ROW]
[ROW][C]235[/C][C]54[/C][C]52.9998[/C][C]1.00016[/C][/ROW]
[ROW][C]236[/C][C]58[/C][C]48.9772[/C][C]9.02284[/C][/ROW]
[ROW][C]237[/C][C]56[/C][C]55.0869[/C][C]0.913142[/C][/ROW]
[ROW][C]238[/C][C]63[/C][C]57.5199[/C][C]5.48012[/C][/ROW]
[ROW][C]239[/C][C]31[/C][C]37.0704[/C][C]-6.07044[/C][/ROW]
[ROW][C]240[/C][C]65[/C][C]54.043[/C][C]10.957[/C][/ROW]
[ROW][C]241[/C][C]71[/C][C]54.5905[/C][C]16.4095[/C][/ROW]
[ROW][C]242[/C][C]50[/C][C]60.2343[/C][C]-10.2343[/C][/ROW]
[ROW][C]243[/C][C]57[/C][C]52.3938[/C][C]4.60623[/C][/ROW]
[ROW][C]244[/C][C]47[/C][C]51.3653[/C][C]-4.36529[/C][/ROW]
[ROW][C]245[/C][C]47[/C][C]49.4594[/C][C]-2.45942[/C][/ROW]
[ROW][C]246[/C][C]57[/C][C]58.8434[/C][C]-1.84342[/C][/ROW]
[ROW][C]247[/C][C]43[/C][C]50.705[/C][C]-7.70501[/C][/ROW]
[ROW][C]248[/C][C]41[/C][C]50.8274[/C][C]-9.82739[/C][/ROW]
[ROW][C]249[/C][C]63[/C][C]54.7572[/C][C]8.24285[/C][/ROW]
[ROW][C]250[/C][C]63[/C][C]54.5691[/C][C]8.43087[/C][/ROW]
[ROW][C]251[/C][C]56[/C][C]56.8269[/C][C]-0.826863[/C][/ROW]
[ROW][C]252[/C][C]51[/C][C]53.957[/C][C]-2.95699[/C][/ROW]
[ROW][C]253[/C][C]50[/C][C]53.5708[/C][C]-3.57083[/C][/ROW]
[ROW][C]254[/C][C]22[/C][C]50.2436[/C][C]-28.2436[/C][/ROW]
[ROW][C]255[/C][C]41[/C][C]53.8407[/C][C]-12.8407[/C][/ROW]
[ROW][C]256[/C][C]59[/C][C]53.6482[/C][C]5.35175[/C][/ROW]
[ROW][C]257[/C][C]56[/C][C]55.3951[/C][C]0.604856[/C][/ROW]
[ROW][C]258[/C][C]66[/C][C]59.0457[/C][C]6.95429[/C][/ROW]
[ROW][C]259[/C][C]53[/C][C]55.7579[/C][C]-2.75787[/C][/ROW]
[ROW][C]260[/C][C]42[/C][C]47.6582[/C][C]-5.65817[/C][/ROW]
[ROW][C]261[/C][C]52[/C][C]44.2758[/C][C]7.7242[/C][/ROW]
[ROW][C]262[/C][C]54[/C][C]56.3288[/C][C]-2.32882[/C][/ROW]
[ROW][C]263[/C][C]44[/C][C]46.8071[/C][C]-2.80715[/C][/ROW]
[ROW][C]264[/C][C]62[/C][C]52.3938[/C][C]9.60623[/C][/ROW]
[ROW][C]265[/C][C]53[/C][C]52.9757[/C][C]0.0242773[/C][/ROW]
[ROW][C]266[/C][C]50[/C][C]48.3786[/C][C]1.62136[/C][/ROW]
[ROW][C]267[/C][C]36[/C][C]45.9962[/C][C]-9.99618[/C][/ROW]
[ROW][C]268[/C][C]76[/C][C]59.7648[/C][C]16.2352[/C][/ROW]
[ROW][C]269[/C][C]66[/C][C]54.225[/C][C]11.775[/C][/ROW]
[ROW][C]270[/C][C]62[/C][C]53.8141[/C][C]8.18589[/C][/ROW]
[ROW][C]271[/C][C]59[/C][C]57.2474[/C][C]1.75256[/C][/ROW]
[ROW][C]272[/C][C]47[/C][C]56.482[/C][C]-9.482[/C][/ROW]
[ROW][C]273[/C][C]55[/C][C]54.8948[/C][C]0.105173[/C][/ROW]
[ROW][C]274[/C][C]58[/C][C]55.0506[/C][C]2.94943[/C][/ROW]
[ROW][C]275[/C][C]60[/C][C]52.9291[/C][C]7.07091[/C][/ROW]
[ROW][C]276[/C][C]44[/C][C]48.6144[/C][C]-4.61442[/C][/ROW]
[ROW][C]277[/C][C]57[/C][C]56.0289[/C][C]0.971143[/C][/ROW]
[ROW][C]278[/C][C]45[/C][C]50.7871[/C][C]-5.7871[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269878&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269878&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
12646.7861-20.7861
25751.89075.10929
33748.5453-11.5453
46755.744711.2553
54347.5117-4.51169
65254.8491-2.84908
75257.4624-5.46239
84346.9094-3.90945
98461.978722.0213
106743.030923.9691
114954.0736-5.07359
127052.971617.0284
135258.5009-6.50093
145857.47250.527459
156855.488612.5114
166255.37586.62415
174354.091-11.091
185654.87491.12513
195651.12384.87624
207459.814214.1858
216555.54349.45657
226355.36147.63861
235857.28070.719297
245757.4433-0.443283
256354.70448.29564
265357.2702-4.27017
275755.16441.83561
285150.70410.295935
296454.07999.92005
305358.3339-5.33388
312954.2108-25.2108
325451.25672.7433
335855.88462.11536
344355.1561-12.1561
355155.1335-4.13346
365350.90662.09338
375455.4943-1.4943
385652.69133.30869
396150.286510.7135
404758.4405-11.4405
413946.2157-7.21569
424850.5733-2.5733
435055.0864-5.08638
443558.4429-23.4429
453051.7622-21.7622
466854.917113.0829
474949.9504-0.950424
486153.64617.35391
496757.57599.42413
504751.3121-4.31214
515657.2127-1.2127
525049.94410.055853
534351.0216-8.02161
546757.09479.90531
556252.19839.80165
565754.81382.1862
574156.7931-15.7931
585453.88920.110792
594550.2151-5.21511
604851.6615-3.66154
616152.93248.06762
625655.92630.0736896
634156.463-15.463
644353.0121-10.0121
655351.54011.45987
664450.2023-6.20227
676657.50428.49577
685852.91895.08114
694654.8365-8.83649
703752.1371-15.1371
715151.2635-0.263531
725152.4574-1.45737
735649.46046.53955
746648.728417.2716
753759.0887-22.0887
764254.6392-12.6392
773850.0189-12.0189
786654.158311.8417
793453.1203-19.1203
805354.8889-1.88886
814952.6985-3.69847
825556.5142-1.51416
834955.2583-6.2583
845954.27844.72156
854050.1205-10.1205
865852.13075.86934
876052.47847.52157
886357.7555.24504
895653.29362.70642
905456.8071-2.80709
915250.7311.26898
923452.0516-18.0516
936954.34214.658
943252.0479-20.0479
954849.748-1.74804
966755.233911.7661
975852.45865.54139
985753.72773.27232
994252.1228-10.1228
1006456.25217.74793
1015853.58044.41959
1026657.25938.74068
1032653.1684-27.1684
1046155.91295.08713
1055253.548-1.54804
1065151.2506-0.250556
1075549.96875.03128
1085055.1825-5.18247
1096051.43818.56191
1105650.8495.151
1116354.56688.4332
1126152.81938.18074
1135244.43387.56622
1141647.6147-31.6147
1154654.9718-8.97178
1165655.91290.0870639
1175249.57822.42184
1185547.9377.06297
1195050.3116-0.311645
1205953.445.55999
1216054.92095.07915
1225252.0245-0.0244734
1234446.0058-2.0058
1246756.571710.4283
1255251.88910.110917
1265554.09880.901166
1273753.2015-16.2015
1285452.6811.31897
1297256.495715.5043
1305151.8411-0.8411
1314850.7838-2.78378
1326055.48454.51549
1335056.1768-6.17681
1346355.23247.76759
1353350.2861-17.2861
1366750.437416.5626
1374652.1176-6.11763
1385453.54290.457089
1395956.7932.20698
1406146.988914.0111
1413347.8838-14.8838
1424756.5528-9.55283
1436957.418811.5812
1445258.503-6.50296
1455555.2101-0.21009
1464146.3344-5.33437
1477347.219725.7803
1485250.67491.32509
1495050.697-0.697011
1505150.92380.0762092
1516059.79750.202509
1525650.94695.05308
1535651.96914.03092
1542951.6658-22.6658
1556650.837515.1625
1566649.803216.1968
1577352.69620.304
1585555.8036-0.803595
1596449.498914.5011
1604052.5012-12.5012
1614652.6289-6.62889
1625854.46063.53936
1634351.2644-8.26438
1646148.437412.5626
1655146.89384.10624
1665051.8774-1.87741
1675257.1745-5.17446
1685453.64590.35408
1696651.026214.9738
1706153.42617.57393
1718057.389622.6104
1725152.0881-1.08813
1735655.31880.681172
1745650.93145.0686
1755651.82574.17429
1765357.307-4.30704
1774748.497-1.49698
1782552.9929-27.9929
1794752.81-5.81003
1804652.8545-6.85453
1815049.32560.674417
1823949.9538-10.9538
1835155.6202-4.62024
1845856.04611.95391
1853552.1149-17.1149
1865851.77816.22194
1876053.21856.78155
1886254.64287.35717
1896353.22969.77037
1905354.9619-1.96191
1914650.2272-4.22716
1926757.49649.50359
1935948.505110.4949
1946453.813610.1864
1953847.7652-9.76524
1965044.24995.75009
1974856.8617-8.86171
1984851.1718-3.17182
1994751.9495-4.94952
2006652.688713.3113
2014734.929212.0708
2026345.307317.6927
2035854.76293.23709
2044455.4359-11.4359
2055159.2375-8.23745
2064353.875-10.875
2075553.9011.09901
2083844.0691-6.06907
2094557.4226-12.4226
2105057.0317-7.03169
2115451.7752.22497
2125756.48740.512554
2136056.63163.36842
2145558.0063-3.00626
2155658.4327-2.43272
2164947.22171.77831
2173750.5974-13.5974
2185956.78142.21856
2194653.3887-7.38871
2205153.1076-2.1076
2215859.7228-1.72282
2226456.88437.11565
2235350.02882.97125
2244856.5839-8.58394
2255156.7584-5.75843
2264751.1278-4.12775
2275952.83386.16624
2286255.30386.69619
2296257.59774.40233
2305155.0566-4.05659
2316454.90689.09324
2325252.6597-0.659662
2336759.09337.90669
2345057.4169-7.4169
2355452.99981.00016
2365848.97729.02284
2375655.08690.913142
2386357.51995.48012
2393137.0704-6.07044
2406554.04310.957
2417154.590516.4095
2425060.2343-10.2343
2435752.39384.60623
2444751.3653-4.36529
2454749.4594-2.45942
2465758.8434-1.84342
2474350.705-7.70501
2484150.8274-9.82739
2496354.75728.24285
2506354.56918.43087
2515656.8269-0.826863
2525153.957-2.95699
2535053.5708-3.57083
2542250.2436-28.2436
2554153.8407-12.8407
2565953.64825.35175
2575655.39510.604856
2586659.04576.95429
2595355.7579-2.75787
2604247.6582-5.65817
2615244.27587.7242
2625456.3288-2.32882
2634446.8071-2.80715
2646252.39389.60623
2655352.97570.0242773
2665048.37861.62136
2673645.9962-9.99618
2687659.764816.2352
2696654.22511.775
2706253.81418.18589
2715957.24741.75256
2724756.482-9.482
2735554.89480.105173
2745855.05062.94943
2756052.92917.07091
2764448.6144-4.61442
2775756.02890.971143
2784550.7871-5.7871






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.3546450.709290.645355
80.3262620.6525230.673738
90.2302010.4604020.769799
100.9422680.1154640.0577321
110.9244050.1511890.0755946
120.8886990.2226010.111301
130.8899180.2201650.110082
140.8433860.3132280.156614
150.7952170.4095650.204783
160.7678780.4642440.232122
170.7743460.4513090.225654
180.7255730.5488530.274427
190.6618850.676230.338115
200.6381480.7237030.361852
210.6006960.7986070.399304
220.635550.72890.36445
230.5834250.8331490.416575
240.5193110.9613790.480689
250.4946060.9892110.505394
260.4721040.9442070.527896
270.4646280.9292560.535372
280.4082860.8165720.591714
290.3734980.7469950.626502
300.3697410.7394820.630259
310.8481160.3037680.151884
320.8175830.3648330.182417
330.7827790.4344420.217221
340.8305110.3389780.169489
350.8044420.3911160.195558
360.7676190.4647630.232381
370.7310320.5379370.268968
380.6992030.6015940.300797
390.6915170.6169660.308483
400.7136950.5726090.286305
410.7278870.5442260.272113
420.6864360.6271290.313564
430.6483140.7033730.351686
440.8414170.3171660.158583
450.8974920.2050170.102508
460.9081830.1836350.0918174
470.8890330.2219340.110967
480.8747990.2504020.125201
490.8840180.2319630.115982
500.8615460.2769080.138454
510.8353590.3292830.164641
520.8068640.3862710.193136
530.7929540.4140920.207046
540.7952560.4094890.204744
550.81550.3690010.1845
560.7863870.4272250.213613
570.8668970.2662060.133103
580.8440970.3118060.155903
590.8228010.3543970.177199
600.7952060.4095880.204794
610.7805990.4388010.219401
620.7486750.5026510.251325
630.7993530.4012940.200647
640.7933780.4132440.206622
650.7637280.4725440.236272
660.7388760.5222470.261124
670.7260730.5478540.273927
680.700290.599420.29971
690.687930.624140.31207
700.7129750.574050.287025
710.6782480.6435040.321752
720.6420430.7159130.357957
730.6301810.7396380.369819
740.7489740.5020520.251026
750.8427670.3144660.157233
760.8515860.2968270.148414
770.8534810.2930380.146519
780.8690070.2619860.130993
790.9072680.1854640.0927321
800.8911590.2176820.108841
810.873770.2524610.12623
820.8542690.2914620.145731
830.8367810.3264370.163219
840.816140.367720.18386
850.8154140.3691710.184586
860.8061390.3877220.193861
870.8056990.3886020.194301
880.7956540.4086920.204346
890.7714510.4570980.228549
900.7435840.5128310.256416
910.7183550.563290.281645
920.7968430.4063150.203157
930.8273140.3453720.172686
940.8869040.2261910.113096
950.8691710.2616590.130829
960.8778830.2442350.122117
970.8641930.2716150.135807
980.8483530.3032940.151647
990.8430490.3139020.156951
1000.8346560.3306880.165344
1010.8204890.3590220.179511
1020.8182980.3634050.181702
1030.9310410.1379170.0689587
1040.9220120.1559760.0779878
1050.9089280.1821450.0910725
1060.8936760.2126480.106324
1070.8852590.2294810.114741
1080.8735230.2529540.126477
1090.8711720.2576560.128828
1100.8586330.2827340.141367
1110.8558430.2883150.144157
1120.8525930.2948140.147407
1130.8447080.3105850.155292
1140.9609250.07815040.0390752
1150.9574830.08503420.0425171
1160.9497330.1005340.0502669
1170.9432340.1135320.0567659
1180.941540.116920.0584598
1190.9308150.138370.0691849
1200.9256750.1486490.0743246
1210.9180370.1639250.0819625
1220.9051610.1896780.0948388
1230.8902720.2194560.109728
1240.897490.205020.10251
1250.8812850.237430.118715
1260.8637090.2725820.136291
1270.8903570.2192860.109643
1280.8743580.2512830.125642
1290.9040460.1919090.0959543
1300.888740.2225190.11126
1310.8726850.2546290.127315
1320.8589730.2820530.141027
1330.8461990.3076020.153801
1340.8402570.3194850.159743
1350.8797560.2404890.120244
1360.9121880.1756250.0878123
1370.9030210.1939570.0969787
1380.8877550.2244890.112245
1390.8717690.2564620.128231
1400.8928660.2142690.107134
1410.9131080.1737840.0868919
1420.9115240.1769510.0884755
1430.9190430.1619130.0809567
1440.9111370.1777270.0888634
1450.8963860.2072290.103614
1460.8846810.2306390.115319
1470.9600230.0799540.039977
1480.9522090.0955820.047791
1490.9429260.1141480.0570738
1500.9323070.1353870.0676933
1510.9209440.1581120.0790562
1520.9114750.177050.0885252
1530.8999020.2001960.100098
1540.9512160.0975690.0487845
1550.9627990.07440190.037201
1560.9741880.05162470.0258123
1570.988420.0231610.0115805
1580.9854840.02903110.0145156
1590.9894080.0211830.0105915
1600.9912050.01758950.00879477
1610.9900830.01983470.00991733
1620.9878290.0243420.012171
1630.9868480.02630350.0131517
1640.9885040.02299120.0114956
1650.9862760.02744870.0137243
1660.983030.03393930.0169696
1670.9801370.03972690.0198634
1680.9754080.04918310.0245915
1690.9823060.03538840.0176942
1700.9807540.03849250.0192463
1710.9939410.01211730.00605867
1720.9922170.01556640.0077832
1730.9900670.01986660.00993331
1740.9883720.02325610.011628
1750.9861590.02768260.0138413
1760.983310.03338020.0166901
1770.9791920.04161550.0208078
1780.9970620.005875560.00293778
1790.9965010.006998260.00349913
1800.9960510.007897010.0039485
1810.9948180.0103630.00518152
1820.9953750.009250060.00462503
1830.9943250.01134980.0056749
1840.9926890.01462140.0073107
1850.996480.007039530.00351977
1860.9958940.008212850.00410642
1870.99540.009200120.00460006
1880.9948390.01032230.00516115
1890.9948960.01020840.00510419
1900.9933540.01329280.00664638
1910.9918320.01633630.00816817
1920.9920940.01581220.00790612
1930.9925910.01481870.00740933
1940.9933540.01329280.00664638
1950.993540.01292080.00646039
1960.9924730.01505310.00752653
1970.9925290.01494140.00747071
1980.9904660.01906710.00953356
1990.9883140.02337150.0116857
2000.9917130.01657330.00828667
2010.9941790.01164170.00582086
2020.9982490.003502050.00175103
2030.9976770.004645070.00232253
2040.9980580.003884310.00194216
2050.9982150.003569480.00178474
2060.9984460.003108190.00155409
2070.9978260.004347270.00217364
2080.9971580.005684220.00284211
2090.9979330.004134140.00206707
2100.9977930.004414980.00220749
2110.9969680.00606470.00303235
2120.9958060.00838780.0041939
2130.994370.01125910.00562956
2140.9930820.01383580.00691788
2150.9910880.01782330.00891165
2160.9888170.02236620.0111831
2170.9917530.01649480.00824739
2180.9890560.0218880.010944
2190.9888880.0222240.011112
2200.9853280.02934390.014672
2210.981470.03706040.0185302
2220.9772560.0454880.022744
2230.9720450.05591030.0279551
2240.973290.05342030.0267101
2250.9700570.05988610.029943
2260.9638990.07220270.0361013
2270.958930.08213940.0410697
2280.9509550.09809090.0490454
2290.9385510.1228980.0614488
2300.9268560.1462870.0731435
2310.9278290.1443420.0721711
2320.9092270.1815460.0907728
2330.8943170.2113650.105683
2340.8889870.2220270.111013
2350.8631220.2737550.136878
2360.8735240.2529520.126476
2370.844810.310380.15519
2380.8191830.3616350.180817
2390.7877830.4244330.212217
2400.7998090.4003820.200191
2410.8729090.2541830.127091
2420.9135150.172970.0864851
2430.8975630.2048730.102437
2440.8711350.2577310.128865
2450.8387380.3225250.161262
2460.8153430.3693140.184657
2470.7849030.4301940.215097
2480.7730230.4539540.226977
2490.7523790.4952410.247621
2500.7492970.5014050.250703
2510.6961670.6076670.303833
2520.6451170.7097660.354883
2530.5959010.8081990.404099
2540.9720470.05590510.0279526
2550.979510.04098060.0204903
2560.9687330.06253440.0312672
2570.9521680.09566490.0478325
2580.9476470.1047060.052353
2590.9275320.1449360.072468
2600.8940540.2118910.105946
2610.9349730.1300530.0650267
2620.9160330.1679350.0839673
2630.8773980.2452040.122602
2640.8792050.241590.120795
2650.8287160.3425670.171284
2660.7822710.4354570.217729
2670.7128010.5743980.287199
2680.7812470.4375060.218753
2690.7869010.4261970.213099
2700.8906690.2186630.109331
2710.8218970.3562060.178103

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
7 & 0.354645 & 0.70929 & 0.645355 \tabularnewline
8 & 0.326262 & 0.652523 & 0.673738 \tabularnewline
9 & 0.230201 & 0.460402 & 0.769799 \tabularnewline
10 & 0.942268 & 0.115464 & 0.0577321 \tabularnewline
11 & 0.924405 & 0.151189 & 0.0755946 \tabularnewline
12 & 0.888699 & 0.222601 & 0.111301 \tabularnewline
13 & 0.889918 & 0.220165 & 0.110082 \tabularnewline
14 & 0.843386 & 0.313228 & 0.156614 \tabularnewline
15 & 0.795217 & 0.409565 & 0.204783 \tabularnewline
16 & 0.767878 & 0.464244 & 0.232122 \tabularnewline
17 & 0.774346 & 0.451309 & 0.225654 \tabularnewline
18 & 0.725573 & 0.548853 & 0.274427 \tabularnewline
19 & 0.661885 & 0.67623 & 0.338115 \tabularnewline
20 & 0.638148 & 0.723703 & 0.361852 \tabularnewline
21 & 0.600696 & 0.798607 & 0.399304 \tabularnewline
22 & 0.63555 & 0.7289 & 0.36445 \tabularnewline
23 & 0.583425 & 0.833149 & 0.416575 \tabularnewline
24 & 0.519311 & 0.961379 & 0.480689 \tabularnewline
25 & 0.494606 & 0.989211 & 0.505394 \tabularnewline
26 & 0.472104 & 0.944207 & 0.527896 \tabularnewline
27 & 0.464628 & 0.929256 & 0.535372 \tabularnewline
28 & 0.408286 & 0.816572 & 0.591714 \tabularnewline
29 & 0.373498 & 0.746995 & 0.626502 \tabularnewline
30 & 0.369741 & 0.739482 & 0.630259 \tabularnewline
31 & 0.848116 & 0.303768 & 0.151884 \tabularnewline
32 & 0.817583 & 0.364833 & 0.182417 \tabularnewline
33 & 0.782779 & 0.434442 & 0.217221 \tabularnewline
34 & 0.830511 & 0.338978 & 0.169489 \tabularnewline
35 & 0.804442 & 0.391116 & 0.195558 \tabularnewline
36 & 0.767619 & 0.464763 & 0.232381 \tabularnewline
37 & 0.731032 & 0.537937 & 0.268968 \tabularnewline
38 & 0.699203 & 0.601594 & 0.300797 \tabularnewline
39 & 0.691517 & 0.616966 & 0.308483 \tabularnewline
40 & 0.713695 & 0.572609 & 0.286305 \tabularnewline
41 & 0.727887 & 0.544226 & 0.272113 \tabularnewline
42 & 0.686436 & 0.627129 & 0.313564 \tabularnewline
43 & 0.648314 & 0.703373 & 0.351686 \tabularnewline
44 & 0.841417 & 0.317166 & 0.158583 \tabularnewline
45 & 0.897492 & 0.205017 & 0.102508 \tabularnewline
46 & 0.908183 & 0.183635 & 0.0918174 \tabularnewline
47 & 0.889033 & 0.221934 & 0.110967 \tabularnewline
48 & 0.874799 & 0.250402 & 0.125201 \tabularnewline
49 & 0.884018 & 0.231963 & 0.115982 \tabularnewline
50 & 0.861546 & 0.276908 & 0.138454 \tabularnewline
51 & 0.835359 & 0.329283 & 0.164641 \tabularnewline
52 & 0.806864 & 0.386271 & 0.193136 \tabularnewline
53 & 0.792954 & 0.414092 & 0.207046 \tabularnewline
54 & 0.795256 & 0.409489 & 0.204744 \tabularnewline
55 & 0.8155 & 0.369001 & 0.1845 \tabularnewline
56 & 0.786387 & 0.427225 & 0.213613 \tabularnewline
57 & 0.866897 & 0.266206 & 0.133103 \tabularnewline
58 & 0.844097 & 0.311806 & 0.155903 \tabularnewline
59 & 0.822801 & 0.354397 & 0.177199 \tabularnewline
60 & 0.795206 & 0.409588 & 0.204794 \tabularnewline
61 & 0.780599 & 0.438801 & 0.219401 \tabularnewline
62 & 0.748675 & 0.502651 & 0.251325 \tabularnewline
63 & 0.799353 & 0.401294 & 0.200647 \tabularnewline
64 & 0.793378 & 0.413244 & 0.206622 \tabularnewline
65 & 0.763728 & 0.472544 & 0.236272 \tabularnewline
66 & 0.738876 & 0.522247 & 0.261124 \tabularnewline
67 & 0.726073 & 0.547854 & 0.273927 \tabularnewline
68 & 0.70029 & 0.59942 & 0.29971 \tabularnewline
69 & 0.68793 & 0.62414 & 0.31207 \tabularnewline
70 & 0.712975 & 0.57405 & 0.287025 \tabularnewline
71 & 0.678248 & 0.643504 & 0.321752 \tabularnewline
72 & 0.642043 & 0.715913 & 0.357957 \tabularnewline
73 & 0.630181 & 0.739638 & 0.369819 \tabularnewline
74 & 0.748974 & 0.502052 & 0.251026 \tabularnewline
75 & 0.842767 & 0.314466 & 0.157233 \tabularnewline
76 & 0.851586 & 0.296827 & 0.148414 \tabularnewline
77 & 0.853481 & 0.293038 & 0.146519 \tabularnewline
78 & 0.869007 & 0.261986 & 0.130993 \tabularnewline
79 & 0.907268 & 0.185464 & 0.0927321 \tabularnewline
80 & 0.891159 & 0.217682 & 0.108841 \tabularnewline
81 & 0.87377 & 0.252461 & 0.12623 \tabularnewline
82 & 0.854269 & 0.291462 & 0.145731 \tabularnewline
83 & 0.836781 & 0.326437 & 0.163219 \tabularnewline
84 & 0.81614 & 0.36772 & 0.18386 \tabularnewline
85 & 0.815414 & 0.369171 & 0.184586 \tabularnewline
86 & 0.806139 & 0.387722 & 0.193861 \tabularnewline
87 & 0.805699 & 0.388602 & 0.194301 \tabularnewline
88 & 0.795654 & 0.408692 & 0.204346 \tabularnewline
89 & 0.771451 & 0.457098 & 0.228549 \tabularnewline
90 & 0.743584 & 0.512831 & 0.256416 \tabularnewline
91 & 0.718355 & 0.56329 & 0.281645 \tabularnewline
92 & 0.796843 & 0.406315 & 0.203157 \tabularnewline
93 & 0.827314 & 0.345372 & 0.172686 \tabularnewline
94 & 0.886904 & 0.226191 & 0.113096 \tabularnewline
95 & 0.869171 & 0.261659 & 0.130829 \tabularnewline
96 & 0.877883 & 0.244235 & 0.122117 \tabularnewline
97 & 0.864193 & 0.271615 & 0.135807 \tabularnewline
98 & 0.848353 & 0.303294 & 0.151647 \tabularnewline
99 & 0.843049 & 0.313902 & 0.156951 \tabularnewline
100 & 0.834656 & 0.330688 & 0.165344 \tabularnewline
101 & 0.820489 & 0.359022 & 0.179511 \tabularnewline
102 & 0.818298 & 0.363405 & 0.181702 \tabularnewline
103 & 0.931041 & 0.137917 & 0.0689587 \tabularnewline
104 & 0.922012 & 0.155976 & 0.0779878 \tabularnewline
105 & 0.908928 & 0.182145 & 0.0910725 \tabularnewline
106 & 0.893676 & 0.212648 & 0.106324 \tabularnewline
107 & 0.885259 & 0.229481 & 0.114741 \tabularnewline
108 & 0.873523 & 0.252954 & 0.126477 \tabularnewline
109 & 0.871172 & 0.257656 & 0.128828 \tabularnewline
110 & 0.858633 & 0.282734 & 0.141367 \tabularnewline
111 & 0.855843 & 0.288315 & 0.144157 \tabularnewline
112 & 0.852593 & 0.294814 & 0.147407 \tabularnewline
113 & 0.844708 & 0.310585 & 0.155292 \tabularnewline
114 & 0.960925 & 0.0781504 & 0.0390752 \tabularnewline
115 & 0.957483 & 0.0850342 & 0.0425171 \tabularnewline
116 & 0.949733 & 0.100534 & 0.0502669 \tabularnewline
117 & 0.943234 & 0.113532 & 0.0567659 \tabularnewline
118 & 0.94154 & 0.11692 & 0.0584598 \tabularnewline
119 & 0.930815 & 0.13837 & 0.0691849 \tabularnewline
120 & 0.925675 & 0.148649 & 0.0743246 \tabularnewline
121 & 0.918037 & 0.163925 & 0.0819625 \tabularnewline
122 & 0.905161 & 0.189678 & 0.0948388 \tabularnewline
123 & 0.890272 & 0.219456 & 0.109728 \tabularnewline
124 & 0.89749 & 0.20502 & 0.10251 \tabularnewline
125 & 0.881285 & 0.23743 & 0.118715 \tabularnewline
126 & 0.863709 & 0.272582 & 0.136291 \tabularnewline
127 & 0.890357 & 0.219286 & 0.109643 \tabularnewline
128 & 0.874358 & 0.251283 & 0.125642 \tabularnewline
129 & 0.904046 & 0.191909 & 0.0959543 \tabularnewline
130 & 0.88874 & 0.222519 & 0.11126 \tabularnewline
131 & 0.872685 & 0.254629 & 0.127315 \tabularnewline
132 & 0.858973 & 0.282053 & 0.141027 \tabularnewline
133 & 0.846199 & 0.307602 & 0.153801 \tabularnewline
134 & 0.840257 & 0.319485 & 0.159743 \tabularnewline
135 & 0.879756 & 0.240489 & 0.120244 \tabularnewline
136 & 0.912188 & 0.175625 & 0.0878123 \tabularnewline
137 & 0.903021 & 0.193957 & 0.0969787 \tabularnewline
138 & 0.887755 & 0.224489 & 0.112245 \tabularnewline
139 & 0.871769 & 0.256462 & 0.128231 \tabularnewline
140 & 0.892866 & 0.214269 & 0.107134 \tabularnewline
141 & 0.913108 & 0.173784 & 0.0868919 \tabularnewline
142 & 0.911524 & 0.176951 & 0.0884755 \tabularnewline
143 & 0.919043 & 0.161913 & 0.0809567 \tabularnewline
144 & 0.911137 & 0.177727 & 0.0888634 \tabularnewline
145 & 0.896386 & 0.207229 & 0.103614 \tabularnewline
146 & 0.884681 & 0.230639 & 0.115319 \tabularnewline
147 & 0.960023 & 0.079954 & 0.039977 \tabularnewline
148 & 0.952209 & 0.095582 & 0.047791 \tabularnewline
149 & 0.942926 & 0.114148 & 0.0570738 \tabularnewline
150 & 0.932307 & 0.135387 & 0.0676933 \tabularnewline
151 & 0.920944 & 0.158112 & 0.0790562 \tabularnewline
152 & 0.911475 & 0.17705 & 0.0885252 \tabularnewline
153 & 0.899902 & 0.200196 & 0.100098 \tabularnewline
154 & 0.951216 & 0.097569 & 0.0487845 \tabularnewline
155 & 0.962799 & 0.0744019 & 0.037201 \tabularnewline
156 & 0.974188 & 0.0516247 & 0.0258123 \tabularnewline
157 & 0.98842 & 0.023161 & 0.0115805 \tabularnewline
158 & 0.985484 & 0.0290311 & 0.0145156 \tabularnewline
159 & 0.989408 & 0.021183 & 0.0105915 \tabularnewline
160 & 0.991205 & 0.0175895 & 0.00879477 \tabularnewline
161 & 0.990083 & 0.0198347 & 0.00991733 \tabularnewline
162 & 0.987829 & 0.024342 & 0.012171 \tabularnewline
163 & 0.986848 & 0.0263035 & 0.0131517 \tabularnewline
164 & 0.988504 & 0.0229912 & 0.0114956 \tabularnewline
165 & 0.986276 & 0.0274487 & 0.0137243 \tabularnewline
166 & 0.98303 & 0.0339393 & 0.0169696 \tabularnewline
167 & 0.980137 & 0.0397269 & 0.0198634 \tabularnewline
168 & 0.975408 & 0.0491831 & 0.0245915 \tabularnewline
169 & 0.982306 & 0.0353884 & 0.0176942 \tabularnewline
170 & 0.980754 & 0.0384925 & 0.0192463 \tabularnewline
171 & 0.993941 & 0.0121173 & 0.00605867 \tabularnewline
172 & 0.992217 & 0.0155664 & 0.0077832 \tabularnewline
173 & 0.990067 & 0.0198666 & 0.00993331 \tabularnewline
174 & 0.988372 & 0.0232561 & 0.011628 \tabularnewline
175 & 0.986159 & 0.0276826 & 0.0138413 \tabularnewline
176 & 0.98331 & 0.0333802 & 0.0166901 \tabularnewline
177 & 0.979192 & 0.0416155 & 0.0208078 \tabularnewline
178 & 0.997062 & 0.00587556 & 0.00293778 \tabularnewline
179 & 0.996501 & 0.00699826 & 0.00349913 \tabularnewline
180 & 0.996051 & 0.00789701 & 0.0039485 \tabularnewline
181 & 0.994818 & 0.010363 & 0.00518152 \tabularnewline
182 & 0.995375 & 0.00925006 & 0.00462503 \tabularnewline
183 & 0.994325 & 0.0113498 & 0.0056749 \tabularnewline
184 & 0.992689 & 0.0146214 & 0.0073107 \tabularnewline
185 & 0.99648 & 0.00703953 & 0.00351977 \tabularnewline
186 & 0.995894 & 0.00821285 & 0.00410642 \tabularnewline
187 & 0.9954 & 0.00920012 & 0.00460006 \tabularnewline
188 & 0.994839 & 0.0103223 & 0.00516115 \tabularnewline
189 & 0.994896 & 0.0102084 & 0.00510419 \tabularnewline
190 & 0.993354 & 0.0132928 & 0.00664638 \tabularnewline
191 & 0.991832 & 0.0163363 & 0.00816817 \tabularnewline
192 & 0.992094 & 0.0158122 & 0.00790612 \tabularnewline
193 & 0.992591 & 0.0148187 & 0.00740933 \tabularnewline
194 & 0.993354 & 0.0132928 & 0.00664638 \tabularnewline
195 & 0.99354 & 0.0129208 & 0.00646039 \tabularnewline
196 & 0.992473 & 0.0150531 & 0.00752653 \tabularnewline
197 & 0.992529 & 0.0149414 & 0.00747071 \tabularnewline
198 & 0.990466 & 0.0190671 & 0.00953356 \tabularnewline
199 & 0.988314 & 0.0233715 & 0.0116857 \tabularnewline
200 & 0.991713 & 0.0165733 & 0.00828667 \tabularnewline
201 & 0.994179 & 0.0116417 & 0.00582086 \tabularnewline
202 & 0.998249 & 0.00350205 & 0.00175103 \tabularnewline
203 & 0.997677 & 0.00464507 & 0.00232253 \tabularnewline
204 & 0.998058 & 0.00388431 & 0.00194216 \tabularnewline
205 & 0.998215 & 0.00356948 & 0.00178474 \tabularnewline
206 & 0.998446 & 0.00310819 & 0.00155409 \tabularnewline
207 & 0.997826 & 0.00434727 & 0.00217364 \tabularnewline
208 & 0.997158 & 0.00568422 & 0.00284211 \tabularnewline
209 & 0.997933 & 0.00413414 & 0.00206707 \tabularnewline
210 & 0.997793 & 0.00441498 & 0.00220749 \tabularnewline
211 & 0.996968 & 0.0060647 & 0.00303235 \tabularnewline
212 & 0.995806 & 0.0083878 & 0.0041939 \tabularnewline
213 & 0.99437 & 0.0112591 & 0.00562956 \tabularnewline
214 & 0.993082 & 0.0138358 & 0.00691788 \tabularnewline
215 & 0.991088 & 0.0178233 & 0.00891165 \tabularnewline
216 & 0.988817 & 0.0223662 & 0.0111831 \tabularnewline
217 & 0.991753 & 0.0164948 & 0.00824739 \tabularnewline
218 & 0.989056 & 0.021888 & 0.010944 \tabularnewline
219 & 0.988888 & 0.022224 & 0.011112 \tabularnewline
220 & 0.985328 & 0.0293439 & 0.014672 \tabularnewline
221 & 0.98147 & 0.0370604 & 0.0185302 \tabularnewline
222 & 0.977256 & 0.045488 & 0.022744 \tabularnewline
223 & 0.972045 & 0.0559103 & 0.0279551 \tabularnewline
224 & 0.97329 & 0.0534203 & 0.0267101 \tabularnewline
225 & 0.970057 & 0.0598861 & 0.029943 \tabularnewline
226 & 0.963899 & 0.0722027 & 0.0361013 \tabularnewline
227 & 0.95893 & 0.0821394 & 0.0410697 \tabularnewline
228 & 0.950955 & 0.0980909 & 0.0490454 \tabularnewline
229 & 0.938551 & 0.122898 & 0.0614488 \tabularnewline
230 & 0.926856 & 0.146287 & 0.0731435 \tabularnewline
231 & 0.927829 & 0.144342 & 0.0721711 \tabularnewline
232 & 0.909227 & 0.181546 & 0.0907728 \tabularnewline
233 & 0.894317 & 0.211365 & 0.105683 \tabularnewline
234 & 0.888987 & 0.222027 & 0.111013 \tabularnewline
235 & 0.863122 & 0.273755 & 0.136878 \tabularnewline
236 & 0.873524 & 0.252952 & 0.126476 \tabularnewline
237 & 0.84481 & 0.31038 & 0.15519 \tabularnewline
238 & 0.819183 & 0.361635 & 0.180817 \tabularnewline
239 & 0.787783 & 0.424433 & 0.212217 \tabularnewline
240 & 0.799809 & 0.400382 & 0.200191 \tabularnewline
241 & 0.872909 & 0.254183 & 0.127091 \tabularnewline
242 & 0.913515 & 0.17297 & 0.0864851 \tabularnewline
243 & 0.897563 & 0.204873 & 0.102437 \tabularnewline
244 & 0.871135 & 0.257731 & 0.128865 \tabularnewline
245 & 0.838738 & 0.322525 & 0.161262 \tabularnewline
246 & 0.815343 & 0.369314 & 0.184657 \tabularnewline
247 & 0.784903 & 0.430194 & 0.215097 \tabularnewline
248 & 0.773023 & 0.453954 & 0.226977 \tabularnewline
249 & 0.752379 & 0.495241 & 0.247621 \tabularnewline
250 & 0.749297 & 0.501405 & 0.250703 \tabularnewline
251 & 0.696167 & 0.607667 & 0.303833 \tabularnewline
252 & 0.645117 & 0.709766 & 0.354883 \tabularnewline
253 & 0.595901 & 0.808199 & 0.404099 \tabularnewline
254 & 0.972047 & 0.0559051 & 0.0279526 \tabularnewline
255 & 0.97951 & 0.0409806 & 0.0204903 \tabularnewline
256 & 0.968733 & 0.0625344 & 0.0312672 \tabularnewline
257 & 0.952168 & 0.0956649 & 0.0478325 \tabularnewline
258 & 0.947647 & 0.104706 & 0.052353 \tabularnewline
259 & 0.927532 & 0.144936 & 0.072468 \tabularnewline
260 & 0.894054 & 0.211891 & 0.105946 \tabularnewline
261 & 0.934973 & 0.130053 & 0.0650267 \tabularnewline
262 & 0.916033 & 0.167935 & 0.0839673 \tabularnewline
263 & 0.877398 & 0.245204 & 0.122602 \tabularnewline
264 & 0.879205 & 0.24159 & 0.120795 \tabularnewline
265 & 0.828716 & 0.342567 & 0.171284 \tabularnewline
266 & 0.782271 & 0.435457 & 0.217729 \tabularnewline
267 & 0.712801 & 0.574398 & 0.287199 \tabularnewline
268 & 0.781247 & 0.437506 & 0.218753 \tabularnewline
269 & 0.786901 & 0.426197 & 0.213099 \tabularnewline
270 & 0.890669 & 0.218663 & 0.109331 \tabularnewline
271 & 0.821897 & 0.356206 & 0.178103 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269878&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]0.354645[/C][C]0.70929[/C][C]0.645355[/C][/ROW]
[ROW][C]8[/C][C]0.326262[/C][C]0.652523[/C][C]0.673738[/C][/ROW]
[ROW][C]9[/C][C]0.230201[/C][C]0.460402[/C][C]0.769799[/C][/ROW]
[ROW][C]10[/C][C]0.942268[/C][C]0.115464[/C][C]0.0577321[/C][/ROW]
[ROW][C]11[/C][C]0.924405[/C][C]0.151189[/C][C]0.0755946[/C][/ROW]
[ROW][C]12[/C][C]0.888699[/C][C]0.222601[/C][C]0.111301[/C][/ROW]
[ROW][C]13[/C][C]0.889918[/C][C]0.220165[/C][C]0.110082[/C][/ROW]
[ROW][C]14[/C][C]0.843386[/C][C]0.313228[/C][C]0.156614[/C][/ROW]
[ROW][C]15[/C][C]0.795217[/C][C]0.409565[/C][C]0.204783[/C][/ROW]
[ROW][C]16[/C][C]0.767878[/C][C]0.464244[/C][C]0.232122[/C][/ROW]
[ROW][C]17[/C][C]0.774346[/C][C]0.451309[/C][C]0.225654[/C][/ROW]
[ROW][C]18[/C][C]0.725573[/C][C]0.548853[/C][C]0.274427[/C][/ROW]
[ROW][C]19[/C][C]0.661885[/C][C]0.67623[/C][C]0.338115[/C][/ROW]
[ROW][C]20[/C][C]0.638148[/C][C]0.723703[/C][C]0.361852[/C][/ROW]
[ROW][C]21[/C][C]0.600696[/C][C]0.798607[/C][C]0.399304[/C][/ROW]
[ROW][C]22[/C][C]0.63555[/C][C]0.7289[/C][C]0.36445[/C][/ROW]
[ROW][C]23[/C][C]0.583425[/C][C]0.833149[/C][C]0.416575[/C][/ROW]
[ROW][C]24[/C][C]0.519311[/C][C]0.961379[/C][C]0.480689[/C][/ROW]
[ROW][C]25[/C][C]0.494606[/C][C]0.989211[/C][C]0.505394[/C][/ROW]
[ROW][C]26[/C][C]0.472104[/C][C]0.944207[/C][C]0.527896[/C][/ROW]
[ROW][C]27[/C][C]0.464628[/C][C]0.929256[/C][C]0.535372[/C][/ROW]
[ROW][C]28[/C][C]0.408286[/C][C]0.816572[/C][C]0.591714[/C][/ROW]
[ROW][C]29[/C][C]0.373498[/C][C]0.746995[/C][C]0.626502[/C][/ROW]
[ROW][C]30[/C][C]0.369741[/C][C]0.739482[/C][C]0.630259[/C][/ROW]
[ROW][C]31[/C][C]0.848116[/C][C]0.303768[/C][C]0.151884[/C][/ROW]
[ROW][C]32[/C][C]0.817583[/C][C]0.364833[/C][C]0.182417[/C][/ROW]
[ROW][C]33[/C][C]0.782779[/C][C]0.434442[/C][C]0.217221[/C][/ROW]
[ROW][C]34[/C][C]0.830511[/C][C]0.338978[/C][C]0.169489[/C][/ROW]
[ROW][C]35[/C][C]0.804442[/C][C]0.391116[/C][C]0.195558[/C][/ROW]
[ROW][C]36[/C][C]0.767619[/C][C]0.464763[/C][C]0.232381[/C][/ROW]
[ROW][C]37[/C][C]0.731032[/C][C]0.537937[/C][C]0.268968[/C][/ROW]
[ROW][C]38[/C][C]0.699203[/C][C]0.601594[/C][C]0.300797[/C][/ROW]
[ROW][C]39[/C][C]0.691517[/C][C]0.616966[/C][C]0.308483[/C][/ROW]
[ROW][C]40[/C][C]0.713695[/C][C]0.572609[/C][C]0.286305[/C][/ROW]
[ROW][C]41[/C][C]0.727887[/C][C]0.544226[/C][C]0.272113[/C][/ROW]
[ROW][C]42[/C][C]0.686436[/C][C]0.627129[/C][C]0.313564[/C][/ROW]
[ROW][C]43[/C][C]0.648314[/C][C]0.703373[/C][C]0.351686[/C][/ROW]
[ROW][C]44[/C][C]0.841417[/C][C]0.317166[/C][C]0.158583[/C][/ROW]
[ROW][C]45[/C][C]0.897492[/C][C]0.205017[/C][C]0.102508[/C][/ROW]
[ROW][C]46[/C][C]0.908183[/C][C]0.183635[/C][C]0.0918174[/C][/ROW]
[ROW][C]47[/C][C]0.889033[/C][C]0.221934[/C][C]0.110967[/C][/ROW]
[ROW][C]48[/C][C]0.874799[/C][C]0.250402[/C][C]0.125201[/C][/ROW]
[ROW][C]49[/C][C]0.884018[/C][C]0.231963[/C][C]0.115982[/C][/ROW]
[ROW][C]50[/C][C]0.861546[/C][C]0.276908[/C][C]0.138454[/C][/ROW]
[ROW][C]51[/C][C]0.835359[/C][C]0.329283[/C][C]0.164641[/C][/ROW]
[ROW][C]52[/C][C]0.806864[/C][C]0.386271[/C][C]0.193136[/C][/ROW]
[ROW][C]53[/C][C]0.792954[/C][C]0.414092[/C][C]0.207046[/C][/ROW]
[ROW][C]54[/C][C]0.795256[/C][C]0.409489[/C][C]0.204744[/C][/ROW]
[ROW][C]55[/C][C]0.8155[/C][C]0.369001[/C][C]0.1845[/C][/ROW]
[ROW][C]56[/C][C]0.786387[/C][C]0.427225[/C][C]0.213613[/C][/ROW]
[ROW][C]57[/C][C]0.866897[/C][C]0.266206[/C][C]0.133103[/C][/ROW]
[ROW][C]58[/C][C]0.844097[/C][C]0.311806[/C][C]0.155903[/C][/ROW]
[ROW][C]59[/C][C]0.822801[/C][C]0.354397[/C][C]0.177199[/C][/ROW]
[ROW][C]60[/C][C]0.795206[/C][C]0.409588[/C][C]0.204794[/C][/ROW]
[ROW][C]61[/C][C]0.780599[/C][C]0.438801[/C][C]0.219401[/C][/ROW]
[ROW][C]62[/C][C]0.748675[/C][C]0.502651[/C][C]0.251325[/C][/ROW]
[ROW][C]63[/C][C]0.799353[/C][C]0.401294[/C][C]0.200647[/C][/ROW]
[ROW][C]64[/C][C]0.793378[/C][C]0.413244[/C][C]0.206622[/C][/ROW]
[ROW][C]65[/C][C]0.763728[/C][C]0.472544[/C][C]0.236272[/C][/ROW]
[ROW][C]66[/C][C]0.738876[/C][C]0.522247[/C][C]0.261124[/C][/ROW]
[ROW][C]67[/C][C]0.726073[/C][C]0.547854[/C][C]0.273927[/C][/ROW]
[ROW][C]68[/C][C]0.70029[/C][C]0.59942[/C][C]0.29971[/C][/ROW]
[ROW][C]69[/C][C]0.68793[/C][C]0.62414[/C][C]0.31207[/C][/ROW]
[ROW][C]70[/C][C]0.712975[/C][C]0.57405[/C][C]0.287025[/C][/ROW]
[ROW][C]71[/C][C]0.678248[/C][C]0.643504[/C][C]0.321752[/C][/ROW]
[ROW][C]72[/C][C]0.642043[/C][C]0.715913[/C][C]0.357957[/C][/ROW]
[ROW][C]73[/C][C]0.630181[/C][C]0.739638[/C][C]0.369819[/C][/ROW]
[ROW][C]74[/C][C]0.748974[/C][C]0.502052[/C][C]0.251026[/C][/ROW]
[ROW][C]75[/C][C]0.842767[/C][C]0.314466[/C][C]0.157233[/C][/ROW]
[ROW][C]76[/C][C]0.851586[/C][C]0.296827[/C][C]0.148414[/C][/ROW]
[ROW][C]77[/C][C]0.853481[/C][C]0.293038[/C][C]0.146519[/C][/ROW]
[ROW][C]78[/C][C]0.869007[/C][C]0.261986[/C][C]0.130993[/C][/ROW]
[ROW][C]79[/C][C]0.907268[/C][C]0.185464[/C][C]0.0927321[/C][/ROW]
[ROW][C]80[/C][C]0.891159[/C][C]0.217682[/C][C]0.108841[/C][/ROW]
[ROW][C]81[/C][C]0.87377[/C][C]0.252461[/C][C]0.12623[/C][/ROW]
[ROW][C]82[/C][C]0.854269[/C][C]0.291462[/C][C]0.145731[/C][/ROW]
[ROW][C]83[/C][C]0.836781[/C][C]0.326437[/C][C]0.163219[/C][/ROW]
[ROW][C]84[/C][C]0.81614[/C][C]0.36772[/C][C]0.18386[/C][/ROW]
[ROW][C]85[/C][C]0.815414[/C][C]0.369171[/C][C]0.184586[/C][/ROW]
[ROW][C]86[/C][C]0.806139[/C][C]0.387722[/C][C]0.193861[/C][/ROW]
[ROW][C]87[/C][C]0.805699[/C][C]0.388602[/C][C]0.194301[/C][/ROW]
[ROW][C]88[/C][C]0.795654[/C][C]0.408692[/C][C]0.204346[/C][/ROW]
[ROW][C]89[/C][C]0.771451[/C][C]0.457098[/C][C]0.228549[/C][/ROW]
[ROW][C]90[/C][C]0.743584[/C][C]0.512831[/C][C]0.256416[/C][/ROW]
[ROW][C]91[/C][C]0.718355[/C][C]0.56329[/C][C]0.281645[/C][/ROW]
[ROW][C]92[/C][C]0.796843[/C][C]0.406315[/C][C]0.203157[/C][/ROW]
[ROW][C]93[/C][C]0.827314[/C][C]0.345372[/C][C]0.172686[/C][/ROW]
[ROW][C]94[/C][C]0.886904[/C][C]0.226191[/C][C]0.113096[/C][/ROW]
[ROW][C]95[/C][C]0.869171[/C][C]0.261659[/C][C]0.130829[/C][/ROW]
[ROW][C]96[/C][C]0.877883[/C][C]0.244235[/C][C]0.122117[/C][/ROW]
[ROW][C]97[/C][C]0.864193[/C][C]0.271615[/C][C]0.135807[/C][/ROW]
[ROW][C]98[/C][C]0.848353[/C][C]0.303294[/C][C]0.151647[/C][/ROW]
[ROW][C]99[/C][C]0.843049[/C][C]0.313902[/C][C]0.156951[/C][/ROW]
[ROW][C]100[/C][C]0.834656[/C][C]0.330688[/C][C]0.165344[/C][/ROW]
[ROW][C]101[/C][C]0.820489[/C][C]0.359022[/C][C]0.179511[/C][/ROW]
[ROW][C]102[/C][C]0.818298[/C][C]0.363405[/C][C]0.181702[/C][/ROW]
[ROW][C]103[/C][C]0.931041[/C][C]0.137917[/C][C]0.0689587[/C][/ROW]
[ROW][C]104[/C][C]0.922012[/C][C]0.155976[/C][C]0.0779878[/C][/ROW]
[ROW][C]105[/C][C]0.908928[/C][C]0.182145[/C][C]0.0910725[/C][/ROW]
[ROW][C]106[/C][C]0.893676[/C][C]0.212648[/C][C]0.106324[/C][/ROW]
[ROW][C]107[/C][C]0.885259[/C][C]0.229481[/C][C]0.114741[/C][/ROW]
[ROW][C]108[/C][C]0.873523[/C][C]0.252954[/C][C]0.126477[/C][/ROW]
[ROW][C]109[/C][C]0.871172[/C][C]0.257656[/C][C]0.128828[/C][/ROW]
[ROW][C]110[/C][C]0.858633[/C][C]0.282734[/C][C]0.141367[/C][/ROW]
[ROW][C]111[/C][C]0.855843[/C][C]0.288315[/C][C]0.144157[/C][/ROW]
[ROW][C]112[/C][C]0.852593[/C][C]0.294814[/C][C]0.147407[/C][/ROW]
[ROW][C]113[/C][C]0.844708[/C][C]0.310585[/C][C]0.155292[/C][/ROW]
[ROW][C]114[/C][C]0.960925[/C][C]0.0781504[/C][C]0.0390752[/C][/ROW]
[ROW][C]115[/C][C]0.957483[/C][C]0.0850342[/C][C]0.0425171[/C][/ROW]
[ROW][C]116[/C][C]0.949733[/C][C]0.100534[/C][C]0.0502669[/C][/ROW]
[ROW][C]117[/C][C]0.943234[/C][C]0.113532[/C][C]0.0567659[/C][/ROW]
[ROW][C]118[/C][C]0.94154[/C][C]0.11692[/C][C]0.0584598[/C][/ROW]
[ROW][C]119[/C][C]0.930815[/C][C]0.13837[/C][C]0.0691849[/C][/ROW]
[ROW][C]120[/C][C]0.925675[/C][C]0.148649[/C][C]0.0743246[/C][/ROW]
[ROW][C]121[/C][C]0.918037[/C][C]0.163925[/C][C]0.0819625[/C][/ROW]
[ROW][C]122[/C][C]0.905161[/C][C]0.189678[/C][C]0.0948388[/C][/ROW]
[ROW][C]123[/C][C]0.890272[/C][C]0.219456[/C][C]0.109728[/C][/ROW]
[ROW][C]124[/C][C]0.89749[/C][C]0.20502[/C][C]0.10251[/C][/ROW]
[ROW][C]125[/C][C]0.881285[/C][C]0.23743[/C][C]0.118715[/C][/ROW]
[ROW][C]126[/C][C]0.863709[/C][C]0.272582[/C][C]0.136291[/C][/ROW]
[ROW][C]127[/C][C]0.890357[/C][C]0.219286[/C][C]0.109643[/C][/ROW]
[ROW][C]128[/C][C]0.874358[/C][C]0.251283[/C][C]0.125642[/C][/ROW]
[ROW][C]129[/C][C]0.904046[/C][C]0.191909[/C][C]0.0959543[/C][/ROW]
[ROW][C]130[/C][C]0.88874[/C][C]0.222519[/C][C]0.11126[/C][/ROW]
[ROW][C]131[/C][C]0.872685[/C][C]0.254629[/C][C]0.127315[/C][/ROW]
[ROW][C]132[/C][C]0.858973[/C][C]0.282053[/C][C]0.141027[/C][/ROW]
[ROW][C]133[/C][C]0.846199[/C][C]0.307602[/C][C]0.153801[/C][/ROW]
[ROW][C]134[/C][C]0.840257[/C][C]0.319485[/C][C]0.159743[/C][/ROW]
[ROW][C]135[/C][C]0.879756[/C][C]0.240489[/C][C]0.120244[/C][/ROW]
[ROW][C]136[/C][C]0.912188[/C][C]0.175625[/C][C]0.0878123[/C][/ROW]
[ROW][C]137[/C][C]0.903021[/C][C]0.193957[/C][C]0.0969787[/C][/ROW]
[ROW][C]138[/C][C]0.887755[/C][C]0.224489[/C][C]0.112245[/C][/ROW]
[ROW][C]139[/C][C]0.871769[/C][C]0.256462[/C][C]0.128231[/C][/ROW]
[ROW][C]140[/C][C]0.892866[/C][C]0.214269[/C][C]0.107134[/C][/ROW]
[ROW][C]141[/C][C]0.913108[/C][C]0.173784[/C][C]0.0868919[/C][/ROW]
[ROW][C]142[/C][C]0.911524[/C][C]0.176951[/C][C]0.0884755[/C][/ROW]
[ROW][C]143[/C][C]0.919043[/C][C]0.161913[/C][C]0.0809567[/C][/ROW]
[ROW][C]144[/C][C]0.911137[/C][C]0.177727[/C][C]0.0888634[/C][/ROW]
[ROW][C]145[/C][C]0.896386[/C][C]0.207229[/C][C]0.103614[/C][/ROW]
[ROW][C]146[/C][C]0.884681[/C][C]0.230639[/C][C]0.115319[/C][/ROW]
[ROW][C]147[/C][C]0.960023[/C][C]0.079954[/C][C]0.039977[/C][/ROW]
[ROW][C]148[/C][C]0.952209[/C][C]0.095582[/C][C]0.047791[/C][/ROW]
[ROW][C]149[/C][C]0.942926[/C][C]0.114148[/C][C]0.0570738[/C][/ROW]
[ROW][C]150[/C][C]0.932307[/C][C]0.135387[/C][C]0.0676933[/C][/ROW]
[ROW][C]151[/C][C]0.920944[/C][C]0.158112[/C][C]0.0790562[/C][/ROW]
[ROW][C]152[/C][C]0.911475[/C][C]0.17705[/C][C]0.0885252[/C][/ROW]
[ROW][C]153[/C][C]0.899902[/C][C]0.200196[/C][C]0.100098[/C][/ROW]
[ROW][C]154[/C][C]0.951216[/C][C]0.097569[/C][C]0.0487845[/C][/ROW]
[ROW][C]155[/C][C]0.962799[/C][C]0.0744019[/C][C]0.037201[/C][/ROW]
[ROW][C]156[/C][C]0.974188[/C][C]0.0516247[/C][C]0.0258123[/C][/ROW]
[ROW][C]157[/C][C]0.98842[/C][C]0.023161[/C][C]0.0115805[/C][/ROW]
[ROW][C]158[/C][C]0.985484[/C][C]0.0290311[/C][C]0.0145156[/C][/ROW]
[ROW][C]159[/C][C]0.989408[/C][C]0.021183[/C][C]0.0105915[/C][/ROW]
[ROW][C]160[/C][C]0.991205[/C][C]0.0175895[/C][C]0.00879477[/C][/ROW]
[ROW][C]161[/C][C]0.990083[/C][C]0.0198347[/C][C]0.00991733[/C][/ROW]
[ROW][C]162[/C][C]0.987829[/C][C]0.024342[/C][C]0.012171[/C][/ROW]
[ROW][C]163[/C][C]0.986848[/C][C]0.0263035[/C][C]0.0131517[/C][/ROW]
[ROW][C]164[/C][C]0.988504[/C][C]0.0229912[/C][C]0.0114956[/C][/ROW]
[ROW][C]165[/C][C]0.986276[/C][C]0.0274487[/C][C]0.0137243[/C][/ROW]
[ROW][C]166[/C][C]0.98303[/C][C]0.0339393[/C][C]0.0169696[/C][/ROW]
[ROW][C]167[/C][C]0.980137[/C][C]0.0397269[/C][C]0.0198634[/C][/ROW]
[ROW][C]168[/C][C]0.975408[/C][C]0.0491831[/C][C]0.0245915[/C][/ROW]
[ROW][C]169[/C][C]0.982306[/C][C]0.0353884[/C][C]0.0176942[/C][/ROW]
[ROW][C]170[/C][C]0.980754[/C][C]0.0384925[/C][C]0.0192463[/C][/ROW]
[ROW][C]171[/C][C]0.993941[/C][C]0.0121173[/C][C]0.00605867[/C][/ROW]
[ROW][C]172[/C][C]0.992217[/C][C]0.0155664[/C][C]0.0077832[/C][/ROW]
[ROW][C]173[/C][C]0.990067[/C][C]0.0198666[/C][C]0.00993331[/C][/ROW]
[ROW][C]174[/C][C]0.988372[/C][C]0.0232561[/C][C]0.011628[/C][/ROW]
[ROW][C]175[/C][C]0.986159[/C][C]0.0276826[/C][C]0.0138413[/C][/ROW]
[ROW][C]176[/C][C]0.98331[/C][C]0.0333802[/C][C]0.0166901[/C][/ROW]
[ROW][C]177[/C][C]0.979192[/C][C]0.0416155[/C][C]0.0208078[/C][/ROW]
[ROW][C]178[/C][C]0.997062[/C][C]0.00587556[/C][C]0.00293778[/C][/ROW]
[ROW][C]179[/C][C]0.996501[/C][C]0.00699826[/C][C]0.00349913[/C][/ROW]
[ROW][C]180[/C][C]0.996051[/C][C]0.00789701[/C][C]0.0039485[/C][/ROW]
[ROW][C]181[/C][C]0.994818[/C][C]0.010363[/C][C]0.00518152[/C][/ROW]
[ROW][C]182[/C][C]0.995375[/C][C]0.00925006[/C][C]0.00462503[/C][/ROW]
[ROW][C]183[/C][C]0.994325[/C][C]0.0113498[/C][C]0.0056749[/C][/ROW]
[ROW][C]184[/C][C]0.992689[/C][C]0.0146214[/C][C]0.0073107[/C][/ROW]
[ROW][C]185[/C][C]0.99648[/C][C]0.00703953[/C][C]0.00351977[/C][/ROW]
[ROW][C]186[/C][C]0.995894[/C][C]0.00821285[/C][C]0.00410642[/C][/ROW]
[ROW][C]187[/C][C]0.9954[/C][C]0.00920012[/C][C]0.00460006[/C][/ROW]
[ROW][C]188[/C][C]0.994839[/C][C]0.0103223[/C][C]0.00516115[/C][/ROW]
[ROW][C]189[/C][C]0.994896[/C][C]0.0102084[/C][C]0.00510419[/C][/ROW]
[ROW][C]190[/C][C]0.993354[/C][C]0.0132928[/C][C]0.00664638[/C][/ROW]
[ROW][C]191[/C][C]0.991832[/C][C]0.0163363[/C][C]0.00816817[/C][/ROW]
[ROW][C]192[/C][C]0.992094[/C][C]0.0158122[/C][C]0.00790612[/C][/ROW]
[ROW][C]193[/C][C]0.992591[/C][C]0.0148187[/C][C]0.00740933[/C][/ROW]
[ROW][C]194[/C][C]0.993354[/C][C]0.0132928[/C][C]0.00664638[/C][/ROW]
[ROW][C]195[/C][C]0.99354[/C][C]0.0129208[/C][C]0.00646039[/C][/ROW]
[ROW][C]196[/C][C]0.992473[/C][C]0.0150531[/C][C]0.00752653[/C][/ROW]
[ROW][C]197[/C][C]0.992529[/C][C]0.0149414[/C][C]0.00747071[/C][/ROW]
[ROW][C]198[/C][C]0.990466[/C][C]0.0190671[/C][C]0.00953356[/C][/ROW]
[ROW][C]199[/C][C]0.988314[/C][C]0.0233715[/C][C]0.0116857[/C][/ROW]
[ROW][C]200[/C][C]0.991713[/C][C]0.0165733[/C][C]0.00828667[/C][/ROW]
[ROW][C]201[/C][C]0.994179[/C][C]0.0116417[/C][C]0.00582086[/C][/ROW]
[ROW][C]202[/C][C]0.998249[/C][C]0.00350205[/C][C]0.00175103[/C][/ROW]
[ROW][C]203[/C][C]0.997677[/C][C]0.00464507[/C][C]0.00232253[/C][/ROW]
[ROW][C]204[/C][C]0.998058[/C][C]0.00388431[/C][C]0.00194216[/C][/ROW]
[ROW][C]205[/C][C]0.998215[/C][C]0.00356948[/C][C]0.00178474[/C][/ROW]
[ROW][C]206[/C][C]0.998446[/C][C]0.00310819[/C][C]0.00155409[/C][/ROW]
[ROW][C]207[/C][C]0.997826[/C][C]0.00434727[/C][C]0.00217364[/C][/ROW]
[ROW][C]208[/C][C]0.997158[/C][C]0.00568422[/C][C]0.00284211[/C][/ROW]
[ROW][C]209[/C][C]0.997933[/C][C]0.00413414[/C][C]0.00206707[/C][/ROW]
[ROW][C]210[/C][C]0.997793[/C][C]0.00441498[/C][C]0.00220749[/C][/ROW]
[ROW][C]211[/C][C]0.996968[/C][C]0.0060647[/C][C]0.00303235[/C][/ROW]
[ROW][C]212[/C][C]0.995806[/C][C]0.0083878[/C][C]0.0041939[/C][/ROW]
[ROW][C]213[/C][C]0.99437[/C][C]0.0112591[/C][C]0.00562956[/C][/ROW]
[ROW][C]214[/C][C]0.993082[/C][C]0.0138358[/C][C]0.00691788[/C][/ROW]
[ROW][C]215[/C][C]0.991088[/C][C]0.0178233[/C][C]0.00891165[/C][/ROW]
[ROW][C]216[/C][C]0.988817[/C][C]0.0223662[/C][C]0.0111831[/C][/ROW]
[ROW][C]217[/C][C]0.991753[/C][C]0.0164948[/C][C]0.00824739[/C][/ROW]
[ROW][C]218[/C][C]0.989056[/C][C]0.021888[/C][C]0.010944[/C][/ROW]
[ROW][C]219[/C][C]0.988888[/C][C]0.022224[/C][C]0.011112[/C][/ROW]
[ROW][C]220[/C][C]0.985328[/C][C]0.0293439[/C][C]0.014672[/C][/ROW]
[ROW][C]221[/C][C]0.98147[/C][C]0.0370604[/C][C]0.0185302[/C][/ROW]
[ROW][C]222[/C][C]0.977256[/C][C]0.045488[/C][C]0.022744[/C][/ROW]
[ROW][C]223[/C][C]0.972045[/C][C]0.0559103[/C][C]0.0279551[/C][/ROW]
[ROW][C]224[/C][C]0.97329[/C][C]0.0534203[/C][C]0.0267101[/C][/ROW]
[ROW][C]225[/C][C]0.970057[/C][C]0.0598861[/C][C]0.029943[/C][/ROW]
[ROW][C]226[/C][C]0.963899[/C][C]0.0722027[/C][C]0.0361013[/C][/ROW]
[ROW][C]227[/C][C]0.95893[/C][C]0.0821394[/C][C]0.0410697[/C][/ROW]
[ROW][C]228[/C][C]0.950955[/C][C]0.0980909[/C][C]0.0490454[/C][/ROW]
[ROW][C]229[/C][C]0.938551[/C][C]0.122898[/C][C]0.0614488[/C][/ROW]
[ROW][C]230[/C][C]0.926856[/C][C]0.146287[/C][C]0.0731435[/C][/ROW]
[ROW][C]231[/C][C]0.927829[/C][C]0.144342[/C][C]0.0721711[/C][/ROW]
[ROW][C]232[/C][C]0.909227[/C][C]0.181546[/C][C]0.0907728[/C][/ROW]
[ROW][C]233[/C][C]0.894317[/C][C]0.211365[/C][C]0.105683[/C][/ROW]
[ROW][C]234[/C][C]0.888987[/C][C]0.222027[/C][C]0.111013[/C][/ROW]
[ROW][C]235[/C][C]0.863122[/C][C]0.273755[/C][C]0.136878[/C][/ROW]
[ROW][C]236[/C][C]0.873524[/C][C]0.252952[/C][C]0.126476[/C][/ROW]
[ROW][C]237[/C][C]0.84481[/C][C]0.31038[/C][C]0.15519[/C][/ROW]
[ROW][C]238[/C][C]0.819183[/C][C]0.361635[/C][C]0.180817[/C][/ROW]
[ROW][C]239[/C][C]0.787783[/C][C]0.424433[/C][C]0.212217[/C][/ROW]
[ROW][C]240[/C][C]0.799809[/C][C]0.400382[/C][C]0.200191[/C][/ROW]
[ROW][C]241[/C][C]0.872909[/C][C]0.254183[/C][C]0.127091[/C][/ROW]
[ROW][C]242[/C][C]0.913515[/C][C]0.17297[/C][C]0.0864851[/C][/ROW]
[ROW][C]243[/C][C]0.897563[/C][C]0.204873[/C][C]0.102437[/C][/ROW]
[ROW][C]244[/C][C]0.871135[/C][C]0.257731[/C][C]0.128865[/C][/ROW]
[ROW][C]245[/C][C]0.838738[/C][C]0.322525[/C][C]0.161262[/C][/ROW]
[ROW][C]246[/C][C]0.815343[/C][C]0.369314[/C][C]0.184657[/C][/ROW]
[ROW][C]247[/C][C]0.784903[/C][C]0.430194[/C][C]0.215097[/C][/ROW]
[ROW][C]248[/C][C]0.773023[/C][C]0.453954[/C][C]0.226977[/C][/ROW]
[ROW][C]249[/C][C]0.752379[/C][C]0.495241[/C][C]0.247621[/C][/ROW]
[ROW][C]250[/C][C]0.749297[/C][C]0.501405[/C][C]0.250703[/C][/ROW]
[ROW][C]251[/C][C]0.696167[/C][C]0.607667[/C][C]0.303833[/C][/ROW]
[ROW][C]252[/C][C]0.645117[/C][C]0.709766[/C][C]0.354883[/C][/ROW]
[ROW][C]253[/C][C]0.595901[/C][C]0.808199[/C][C]0.404099[/C][/ROW]
[ROW][C]254[/C][C]0.972047[/C][C]0.0559051[/C][C]0.0279526[/C][/ROW]
[ROW][C]255[/C][C]0.97951[/C][C]0.0409806[/C][C]0.0204903[/C][/ROW]
[ROW][C]256[/C][C]0.968733[/C][C]0.0625344[/C][C]0.0312672[/C][/ROW]
[ROW][C]257[/C][C]0.952168[/C][C]0.0956649[/C][C]0.0478325[/C][/ROW]
[ROW][C]258[/C][C]0.947647[/C][C]0.104706[/C][C]0.052353[/C][/ROW]
[ROW][C]259[/C][C]0.927532[/C][C]0.144936[/C][C]0.072468[/C][/ROW]
[ROW][C]260[/C][C]0.894054[/C][C]0.211891[/C][C]0.105946[/C][/ROW]
[ROW][C]261[/C][C]0.934973[/C][C]0.130053[/C][C]0.0650267[/C][/ROW]
[ROW][C]262[/C][C]0.916033[/C][C]0.167935[/C][C]0.0839673[/C][/ROW]
[ROW][C]263[/C][C]0.877398[/C][C]0.245204[/C][C]0.122602[/C][/ROW]
[ROW][C]264[/C][C]0.879205[/C][C]0.24159[/C][C]0.120795[/C][/ROW]
[ROW][C]265[/C][C]0.828716[/C][C]0.342567[/C][C]0.171284[/C][/ROW]
[ROW][C]266[/C][C]0.782271[/C][C]0.435457[/C][C]0.217729[/C][/ROW]
[ROW][C]267[/C][C]0.712801[/C][C]0.574398[/C][C]0.287199[/C][/ROW]
[ROW][C]268[/C][C]0.781247[/C][C]0.437506[/C][C]0.218753[/C][/ROW]
[ROW][C]269[/C][C]0.786901[/C][C]0.426197[/C][C]0.213099[/C][/ROW]
[ROW][C]270[/C][C]0.890669[/C][C]0.218663[/C][C]0.109331[/C][/ROW]
[ROW][C]271[/C][C]0.821897[/C][C]0.356206[/C][C]0.178103[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269878&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269878&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
70.3546450.709290.645355
80.3262620.6525230.673738
90.2302010.4604020.769799
100.9422680.1154640.0577321
110.9244050.1511890.0755946
120.8886990.2226010.111301
130.8899180.2201650.110082
140.8433860.3132280.156614
150.7952170.4095650.204783
160.7678780.4642440.232122
170.7743460.4513090.225654
180.7255730.5488530.274427
190.6618850.676230.338115
200.6381480.7237030.361852
210.6006960.7986070.399304
220.635550.72890.36445
230.5834250.8331490.416575
240.5193110.9613790.480689
250.4946060.9892110.505394
260.4721040.9442070.527896
270.4646280.9292560.535372
280.4082860.8165720.591714
290.3734980.7469950.626502
300.3697410.7394820.630259
310.8481160.3037680.151884
320.8175830.3648330.182417
330.7827790.4344420.217221
340.8305110.3389780.169489
350.8044420.3911160.195558
360.7676190.4647630.232381
370.7310320.5379370.268968
380.6992030.6015940.300797
390.6915170.6169660.308483
400.7136950.5726090.286305
410.7278870.5442260.272113
420.6864360.6271290.313564
430.6483140.7033730.351686
440.8414170.3171660.158583
450.8974920.2050170.102508
460.9081830.1836350.0918174
470.8890330.2219340.110967
480.8747990.2504020.125201
490.8840180.2319630.115982
500.8615460.2769080.138454
510.8353590.3292830.164641
520.8068640.3862710.193136
530.7929540.4140920.207046
540.7952560.4094890.204744
550.81550.3690010.1845
560.7863870.4272250.213613
570.8668970.2662060.133103
580.8440970.3118060.155903
590.8228010.3543970.177199
600.7952060.4095880.204794
610.7805990.4388010.219401
620.7486750.5026510.251325
630.7993530.4012940.200647
640.7933780.4132440.206622
650.7637280.4725440.236272
660.7388760.5222470.261124
670.7260730.5478540.273927
680.700290.599420.29971
690.687930.624140.31207
700.7129750.574050.287025
710.6782480.6435040.321752
720.6420430.7159130.357957
730.6301810.7396380.369819
740.7489740.5020520.251026
750.8427670.3144660.157233
760.8515860.2968270.148414
770.8534810.2930380.146519
780.8690070.2619860.130993
790.9072680.1854640.0927321
800.8911590.2176820.108841
810.873770.2524610.12623
820.8542690.2914620.145731
830.8367810.3264370.163219
840.816140.367720.18386
850.8154140.3691710.184586
860.8061390.3877220.193861
870.8056990.3886020.194301
880.7956540.4086920.204346
890.7714510.4570980.228549
900.7435840.5128310.256416
910.7183550.563290.281645
920.7968430.4063150.203157
930.8273140.3453720.172686
940.8869040.2261910.113096
950.8691710.2616590.130829
960.8778830.2442350.122117
970.8641930.2716150.135807
980.8483530.3032940.151647
990.8430490.3139020.156951
1000.8346560.3306880.165344
1010.8204890.3590220.179511
1020.8182980.3634050.181702
1030.9310410.1379170.0689587
1040.9220120.1559760.0779878
1050.9089280.1821450.0910725
1060.8936760.2126480.106324
1070.8852590.2294810.114741
1080.8735230.2529540.126477
1090.8711720.2576560.128828
1100.8586330.2827340.141367
1110.8558430.2883150.144157
1120.8525930.2948140.147407
1130.8447080.3105850.155292
1140.9609250.07815040.0390752
1150.9574830.08503420.0425171
1160.9497330.1005340.0502669
1170.9432340.1135320.0567659
1180.941540.116920.0584598
1190.9308150.138370.0691849
1200.9256750.1486490.0743246
1210.9180370.1639250.0819625
1220.9051610.1896780.0948388
1230.8902720.2194560.109728
1240.897490.205020.10251
1250.8812850.237430.118715
1260.8637090.2725820.136291
1270.8903570.2192860.109643
1280.8743580.2512830.125642
1290.9040460.1919090.0959543
1300.888740.2225190.11126
1310.8726850.2546290.127315
1320.8589730.2820530.141027
1330.8461990.3076020.153801
1340.8402570.3194850.159743
1350.8797560.2404890.120244
1360.9121880.1756250.0878123
1370.9030210.1939570.0969787
1380.8877550.2244890.112245
1390.8717690.2564620.128231
1400.8928660.2142690.107134
1410.9131080.1737840.0868919
1420.9115240.1769510.0884755
1430.9190430.1619130.0809567
1440.9111370.1777270.0888634
1450.8963860.2072290.103614
1460.8846810.2306390.115319
1470.9600230.0799540.039977
1480.9522090.0955820.047791
1490.9429260.1141480.0570738
1500.9323070.1353870.0676933
1510.9209440.1581120.0790562
1520.9114750.177050.0885252
1530.8999020.2001960.100098
1540.9512160.0975690.0487845
1550.9627990.07440190.037201
1560.9741880.05162470.0258123
1570.988420.0231610.0115805
1580.9854840.02903110.0145156
1590.9894080.0211830.0105915
1600.9912050.01758950.00879477
1610.9900830.01983470.00991733
1620.9878290.0243420.012171
1630.9868480.02630350.0131517
1640.9885040.02299120.0114956
1650.9862760.02744870.0137243
1660.983030.03393930.0169696
1670.9801370.03972690.0198634
1680.9754080.04918310.0245915
1690.9823060.03538840.0176942
1700.9807540.03849250.0192463
1710.9939410.01211730.00605867
1720.9922170.01556640.0077832
1730.9900670.01986660.00993331
1740.9883720.02325610.011628
1750.9861590.02768260.0138413
1760.983310.03338020.0166901
1770.9791920.04161550.0208078
1780.9970620.005875560.00293778
1790.9965010.006998260.00349913
1800.9960510.007897010.0039485
1810.9948180.0103630.00518152
1820.9953750.009250060.00462503
1830.9943250.01134980.0056749
1840.9926890.01462140.0073107
1850.996480.007039530.00351977
1860.9958940.008212850.00410642
1870.99540.009200120.00460006
1880.9948390.01032230.00516115
1890.9948960.01020840.00510419
1900.9933540.01329280.00664638
1910.9918320.01633630.00816817
1920.9920940.01581220.00790612
1930.9925910.01481870.00740933
1940.9933540.01329280.00664638
1950.993540.01292080.00646039
1960.9924730.01505310.00752653
1970.9925290.01494140.00747071
1980.9904660.01906710.00953356
1990.9883140.02337150.0116857
2000.9917130.01657330.00828667
2010.9941790.01164170.00582086
2020.9982490.003502050.00175103
2030.9976770.004645070.00232253
2040.9980580.003884310.00194216
2050.9982150.003569480.00178474
2060.9984460.003108190.00155409
2070.9978260.004347270.00217364
2080.9971580.005684220.00284211
2090.9979330.004134140.00206707
2100.9977930.004414980.00220749
2110.9969680.00606470.00303235
2120.9958060.00838780.0041939
2130.994370.01125910.00562956
2140.9930820.01383580.00691788
2150.9910880.01782330.00891165
2160.9888170.02236620.0111831
2170.9917530.01649480.00824739
2180.9890560.0218880.010944
2190.9888880.0222240.011112
2200.9853280.02934390.014672
2210.981470.03706040.0185302
2220.9772560.0454880.022744
2230.9720450.05591030.0279551
2240.973290.05342030.0267101
2250.9700570.05988610.029943
2260.9638990.07220270.0361013
2270.958930.08213940.0410697
2280.9509550.09809090.0490454
2290.9385510.1228980.0614488
2300.9268560.1462870.0731435
2310.9278290.1443420.0721711
2320.9092270.1815460.0907728
2330.8943170.2113650.105683
2340.8889870.2220270.111013
2350.8631220.2737550.136878
2360.8735240.2529520.126476
2370.844810.310380.15519
2380.8191830.3616350.180817
2390.7877830.4244330.212217
2400.7998090.4003820.200191
2410.8729090.2541830.127091
2420.9135150.172970.0864851
2430.8975630.2048730.102437
2440.8711350.2577310.128865
2450.8387380.3225250.161262
2460.8153430.3693140.184657
2470.7849030.4301940.215097
2480.7730230.4539540.226977
2490.7523790.4952410.247621
2500.7492970.5014050.250703
2510.6961670.6076670.303833
2520.6451170.7097660.354883
2530.5959010.8081990.404099
2540.9720470.05590510.0279526
2550.979510.04098060.0204903
2560.9687330.06253440.0312672
2570.9521680.09566490.0478325
2580.9476470.1047060.052353
2590.9275320.1449360.072468
2600.8940540.2118910.105946
2610.9349730.1300530.0650267
2620.9160330.1679350.0839673
2630.8773980.2452040.122602
2640.8792050.241590.120795
2650.8287160.3425670.171284
2660.7822710.4354570.217729
2670.7128010.5743980.287199
2680.7812470.4375060.218753
2690.7869010.4261970.213099
2700.8906690.2186630.109331
2710.8218970.3562060.178103






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level180.0679245NOK
5% type I error level670.25283NOK
10% type I error level830.313208NOK

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
Description & # significant tests & % significant tests & OK/NOK \tabularnewline
1% type I error level & 18 & 0.0679245 & NOK \tabularnewline
5% type I error level & 67 & 0.25283 & NOK \tabularnewline
10% type I error level & 83 & 0.313208 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269878&T=6

[TABLE]
[ROW][C]Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]Description[/C][C]# significant tests[/C][C]% significant tests[/C][C]OK/NOK[/C][/ROW]
[ROW][C]1% type I error level[/C][C]18[/C][C]0.0679245[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]67[/C][C]0.25283[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]83[/C][C]0.313208[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269878&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269878&T=6

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


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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level180.0679245NOK
5% type I error level670.25283NOK
10% type I error level830.313208NOK


Figures (Output of Computation)

Figure 1
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Figure 2
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Figure 3
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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')
}