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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationWed, 17 Dec 2014 18:35:50 +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/17/t1418844801zgqv8lltajdtm4r.htm/, Retrieved Thu, 16 May 2024 23:56:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=270603, Retrieved Thu, 16 May 2024 23:56:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact56

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [] [2014-12-17 18:35:50] [feba87b71495ef91d18b6c2716812399] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
26 21 149 50 13
57 22 139 62 8
37 22 148 54 14
67 18 158 71 16
43 23 128 54 14
52 12 224 65 13
52 20 159 73 15
43 22 105 52 13
84 21 159 84 20
67 19 167 42 17
49 22 165 66 15
70 15 159 65 16
52 20 119 78 12
58 19 176 73 17
68 18 54 75 11
62 15 91 72 16
43 20 163 66 16
56 21 124 70 15
56 21 137 61 13
74 15 121 81 14
65 16 153 71 19
63 23 148 69 16
58 21 221 71 17
57 18 188 72 10
63 25 149 68 15
53 9 244 70 14
57 30 148 68 14
51 20 92 61 16
64 23 150 67 15
53 16 153 76 17
29 16 94 70 14
54 19 156 60 16
58 25 132 72 15
43 18 161 69 16
51 23 105 71 16
53 21 97 62 10
54 10 151 70 8
56 14 131 64 17
61 22 166 58 14
47 26 157 76 10
39 23 111 52 14
48 23 145 59 12
50 24 162 68 16
35 24 163 76 16
30 18 59 65 16
68 23 187 67 8
49 15 109 59 16
61 19 90 69 15
67 16 105 76 8
47 25 83 63 13
56 23 116 75 14
50 17 42 63 13
43 19 148 60 16
67 21 155 73 19
62 18 125 63 19
57 27 116 70 14
41 21 128 75 15
54 13 138 66 13
45 8 49 63 10
48 29 96 63 16
61 28 164 64 15
56 23 162 70 11
41 21 99 75 9
43 19 202 61 16
53 19 186 60 12
44 20 66 62 12
66 18 183 73 14
58 19 214 61 14
46 17 188 66 13
37 19 104 64 15
51 25 177 59 17
51 19 126 64 14
56 22 76 60 11
66 23 99 56 9
37 14 139 78 7
42 16 162 67 15
38 24 108 59 12
66 20 159 66 15
34 12 74 68 14
53 24 110 71 16
49 22 96 66 14
55 12 116 73 13
49 22 87 72 16
59 20 97 71 13
40 10 127 59 16
58 23 106 64 16
60 17 80 66 16
63 22 74 78 10
56 24 91 68 12
54 18 133 73 12
52 21 74 62 12
34 20 114 65 12
69 20 140 68 19
32 22 95 65 14
48 19 98 60 13
67 20 121 71 16
58 26 126 65 15
57 23 98 68 12
42 24 95 64 8
64 21 110 74 10
58 21 70 69 16
66 19 102 76 16
26 8 86 68 10
61 17 130 72 18
52 20 96 67 12
51 11 102 63 16
55 8 100 59 10
50 15 94 73 14
60 18 52 66 12
56 18 98 62 11
63 19 118 69 15
61 19 99 66 7
52 23 48 51 16
16 22 50 56 16
46 21 150 67 16
56 25 154 69 16
52 30 109 57 12
55 17 68 56 15
50 27 194 55 14
59 23 158 63 15
60 23 159 67 16
52 18 67 65 13
44 18 147 47 10
67 23 39 76 17
52 19 100 64 15
55 15 111 68 18
37 20 138 64 16
54 16 101 65 20
72 24 131 71 16
51 25 101 63 17
48 25 114 60 16
60 19 165 68 15
50 19 114 72 13
63 16 111 70 16
33 19 75 61 16
67 19 82 61 16
46 23 121 62 17
54 21 32 71 20
59 22 150 71 14
61 19 117 51 17
33 20 71 56 6
47 20 165 70 16
69 3 154 73 15
52 23 126 76 16
55 23 149 68 16
41 20 145 48 14
73 15 120 52 16
52 16 109 60 16
50 7 132 59 16
51 24 172 57 14
60 17 169 79 14
56 24 114 60 16
56 24 156 60 16
29 19 172 59 15
66 25 68 62 16
66 20 89 59 16
73 28 167 61 18
55 23 113 71 15
64 27 115 57 16
40 18 78 66 16
46 28 118 63 16
58 21 87 69 17
43 19 173 58 14
61 23 2 59 18
51 27 162 48 9
50 22 49 66 15
52 28 122 73 14
54 25 96 67 15
66 21 100 61 13
61 22 82 68 16
80 28 100 75 20
51 20 115 62 14
56 29 141 69 12
56 25 165 58 15
56 25 165 60 15
53 20 110 74 15
47 20 118 55 16
25 16 158 62 11
47 20 146 63 16
46 20 49 69 7
50 23 90 58 11
39 18 121 58 9
51 25 155 68 15
58 18 104 72 16
35 19 147 62 14
58 25 110 62 15
60 25 108 65 13
62 25 113 69 13
63 24 115 66 12
53 19 61 72 16
46 26 60 62 14
67 10 109 75 16
59 17 68 58 14
64 13 111 66 15
38 17 77 55 10
50 30 73 47 16
48 25 151 72 14
48 4 89 62 16
47 16 78 64 12
66 21 110 64 16
47 23 220 19 16
63 22 65 50 15
58 17 141 68 14
44 20 117 70 16
51 20 122 79 11
43 22 63 69 15
55 16 44 71 18
38 23 52 48 13
45 0 131 73 7
50 18 101 74 7
54 25 42 66 17
57 23 152 71 18
60 12 107 74 15
55 18 77 78 8
56 24 154 75 13
49 11 103 53 13
37 18 96 60 15
59 23 175 70 18
46 24 57 69 16
51 29 112 65 14
58 18 143 78 15
64 15 49 78 19
53 29 110 59 16
48 16 131 72 12
51 19 167 70 16
47 22 56 63 11
59 16 137 63 16
62 23 86 71 15
62 23 121 74 19
51 19 149 67 15
64 4 168 66 14
52 20 140 62 14
67 24 88 80 17
50 20 168 73 16
54 4 94 67 20
58 24 51 61 16
56 22 48 73 9
63 16 145 74 13
31 3 66 32 15
65 15 85 69 19
71 24 109 69 16
50 17 63 84 17
57 20 102 64 16
47 27 162 58 9
47 26 86 59 11
57 23 114 78 14
43 17 164 57 19
41 20 119 60 13
63 22 126 68 14
63 19 132 68 15
56 24 142 73 15
51 19 83 69 14
50 23 94 67 16
22 15 81 60 17
41 27 166 65 12
59 26 110 66 15
56 22 64 74 17
66 22 93 81 15
53 18 104 72 10
42 15 105 55 16
52 22 49 49 15
54 27 88 74 11
44 10 95 53 16
62 20 102 64 16
53 17 99 65 16
50 23 63 57 14
36 19 76 51 14
76 13 109 80 16
66 27 117 67 16
62 23 57 70 18
59 16 120 74 14
47 25 73 75 20
55 2 91 70 15
58 26 108 69 16
60 20 105 65 16
44 23 117 55 16
57 22 119 71 12
45 24 31 65 8

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'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 & 9 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270603&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]9 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270603&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270603&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'George Udny Yule' @ yule.wessa.net






Multiple Linear Regression - Estimated Regression Equation
AMS.I[t] = + 6.77411 + 0.190269NUMERACYTOT[t] + 0.0190506LFM[t] + 0.439581AMS.E[t] + 0.801762CONFSTATTOT[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
AMS.I[t] =  +  6.77411 +  0.190269NUMERACYTOT[t] +  0.0190506LFM[t] +  0.439581AMS.E[t] +  0.801762CONFSTATTOT[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270603&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]AMS.I[t] =  +  6.77411 +  0.190269NUMERACYTOT[t] +  0.0190506LFM[t] +  0.439581AMS.E[t] +  0.801762CONFSTATTOT[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270603&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270603&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] = + 6.77411 + 0.190269NUMERACYTOT[t] + 0.0190506LFM[t] + 0.439581AMS.E[t] + 0.801762CONFSTATTOT[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)6.774116.039851.1220.2630310.131515
NUMERACYTOT0.1902690.110241.7260.08548660.0427433
LFM0.01905060.01414751.3470.1792350.0896174
AMS.E0.4395810.06921366.3518.89729e-104.44864e-10
CONFSTATTOT0.8017620.2061083.890.0001259896.29945e-05

\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) & 6.77411 & 6.03985 & 1.122 & 0.263031 & 0.131515 \tabularnewline
NUMERACYTOT & 0.190269 & 0.11024 & 1.726 & 0.0854866 & 0.0427433 \tabularnewline
LFM & 0.0190506 & 0.0141475 & 1.347 & 0.179235 & 0.0896174 \tabularnewline
AMS.E & 0.439581 & 0.0692136 & 6.351 & 8.89729e-10 & 4.44864e-10 \tabularnewline
CONFSTATTOT & 0.801762 & 0.206108 & 3.89 & 0.000125989 & 6.29945e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270603&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]6.77411[/C][C]6.03985[/C][C]1.122[/C][C]0.263031[/C][C]0.131515[/C][/ROW]
[ROW][C]NUMERACYTOT[/C][C]0.190269[/C][C]0.11024[/C][C]1.726[/C][C]0.0854866[/C][C]0.0427433[/C][/ROW]
[ROW][C]LFM[/C][C]0.0190506[/C][C]0.0141475[/C][C]1.347[/C][C]0.179235[/C][C]0.0896174[/C][/ROW]
[ROW][C]AMS.E[/C][C]0.439581[/C][C]0.0692136[/C][C]6.351[/C][C]8.89729e-10[/C][C]4.44864e-10[/C][/ROW]
[ROW][C]CONFSTATTOT[/C][C]0.801762[/C][C]0.206108[/C][C]3.89[/C][C]0.000125989[/C][C]6.29945e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270603&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270603&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)6.774116.039851.1220.2630310.131515
NUMERACYTOT0.1902690.110241.7260.08548660.0427433
LFM0.01905060.01414751.3470.1792350.0896174
AMS.E0.4395810.06921366.3518.89729e-104.44864e-10
CONFSTATTOT0.8017620.2061083.890.0001259896.29945e-05






Multiple Linear Regression - Regression Statistics
Multiple R0.42973
R-squared0.184668
Adjusted R-squared0.172722
F-TEST (value)15.4583
F-TEST (DF numerator)4
F-TEST (DF denominator)273
p-value2.06806e-11
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation9.37281
Sum Squared Residuals23982.9

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.42973 \tabularnewline
R-squared & 0.184668 \tabularnewline
Adjusted R-squared & 0.172722 \tabularnewline
F-TEST (value) & 15.4583 \tabularnewline
F-TEST (DF numerator) & 4 \tabularnewline
F-TEST (DF denominator) & 273 \tabularnewline
p-value & 2.06806e-11 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 9.37281 \tabularnewline
Sum Squared Residuals & 23982.9 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270603&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.42973[/C][/ROW]
[ROW][C]R-squared[/C][C]0.184668[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.172722[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]15.4583[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]4[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]273[/C][/ROW]
[ROW][C]p-value[/C][C]2.06806e-11[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]9.37281[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]23982.9[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270603&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270603&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 R0.42973
R-squared0.184668
Adjusted R-squared0.172722
F-TEST (value)15.4583
F-TEST (DF numerator)4
F-TEST (DF denominator)273
p-value2.06806e-11
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation9.37281
Sum Squared Residuals23982.9






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
12646.0103-20.0103
25747.27629.7238
33748.7416-11.7416
46757.24749.75259
54348.5508-5.55083
65252.3204-0.320366
75257.7244-5.7244
84346.2415-3.24147
98466.758917.2411
106745.66321.337
114955.1422-6.14217
127054.058215.9418
135256.755-4.75499
145859.4615-1.46151
156853.015714.9843
166255.83986.16021
174355.5253-12.5253
185655.92920.0708488
195650.61715.38295
207458.76415.236
216559.17695.82309
226357.12915.87092
235859.8202-1.82017
245753.44793.55206
256356.28736.71267
265355.1302-2.13024
275756.41790.58214
285151.9748-0.974793
296455.48638.51374
305359.7713-6.77129
312953.6045-24.6045
325452.56421.43582
335857.72180.278207
344356.4254-13.4254
355157.1891-6.18907
365347.88935.11068
375448.73825.26177
385653.69672.30334
396150.842810.1572
404756.1378-9.13784
413947.3478-8.34781
424849.4691-1.46907
435057.1465-7.14648
443560.6822-25.6822
453052.7239-22.7239
466850.578817.4212
474950.4681-1.46815
486154.46136.53869
496751.64115.359
504751.2286-4.22856
515657.5534-1.55343
525048.92531.07467
534352.4118-9.41178
546761.04555.95449
556255.50746.49263
565756.11660.883404
574158.2033-17.2033
585451.31192.68814
594544.9410.0590176
604854.6426-6.64258
616155.38565.61443
625653.82662.17344
634152.8402-11.8402
644353.8801-10.8801
655349.92873.07135
664448.712-4.71201
676656.99939.00069
685852.50525.49482
694653.0255-7.02547
703752.5301-15.5301
715154.468-3.46804
725152.1475-1.14747
735647.60218.39787
746644.868721.1313
753751.9856-14.9856
764254.383-12.383
773848.9545-10.9545
786654.647311.3527
793451.5833-17.5833
805357.4746-4.47459
814953.0259-4.02592
825553.77951.22045
834957.0955-8.09547
845954.06064.93943
854049.8597-9.85972
865854.13113.86895
876053.37336.62671
886354.67478.32527
895652.58683.41316
905454.4433-0.443259
915249.05472.94532
923450.9452-16.9452
936958.371610.6284
943252.5673-20.5673
954849.054-1.05396
966756.923110.0769
975854.72073.27931
985752.52994.47008
994247.6977-5.69767
1006453.41210.588
1015855.26262.7374
1026658.56877.43125
1032647.8438-21.8438
1046158.56682.43317
1055251.48140.518565
1065151.332-0.332044
1075544.154210.8458
1085054.733-4.733
1096049.823110.1769
1105648.13937.86067
1116354.99478.00527
1126146.899914.1001
1135247.31164.68844
1141649.3573-33.3573
1154655.9075-9.90749
1165657.6239-1.62393
1175249.2362.76403
1185547.94717.0529
1195051.0088-1.00883
1205953.88035.11966
1216056.45953.54052
1225250.4711.52897
1234441.67732.32267
1246758.93148.0686
1255252.4539-0.453911
1265556.066-1.066
1273754.1699-17.1699
1285456.3505-2.35055
1297257.874714.1253
1305154.7785-3.77852
1314852.9057-4.90567
1326055.45054.54947
1335054.6337-4.63375
1346355.53197.46809
1353351.4607-18.4607
1366751.59415.406
1374654.3394-8.33941
1385458.6249-4.62488
1395956.25262.74744
1406148.666712.3333
1413341.3592-8.3592
1424757.3217-10.3217
1436954.394614.6054
1445259.787-7.78704
1455556.7086-1.70855
1464145.6664-4.6664
1477347.600625.3994
1485251.0980.902002
1495049.38420.615837
1505150.89810.101931
1516059.17980.820176
1525652.71543.2846
1535653.51552.48447
1542951.6277-22.6277
1556652.908513.0915
1566651.038514.9615
1577356.529316.4707
1585556.5397-1.53971
1596451.986512.0135
1604053.5255-13.5255
1614654.8714-8.87142
1625856.38821.61178
1634350.4054-7.40536
1646151.55549.4446
1655143.31337.68667
1665052.9323-2.9323
1675257.7399-5.73991
1685454.8381-0.838065
1696649.912216.0878
1706155.24195.75811
1718063.010516.9895
1725151.249-0.249015
1735654.93031.06971
1745652.19633.80367
1755653.07552.92451
1765357.2305-4.2305
1774749.8326-2.83262
1782548.9018-23.9018
1794753.8827-6.88269
1804647.4564-1.45641
1815047.17992.82006
1823945.2156-6.21565
1835156.4016-5.40163
1845856.65831.34174
1853551.6684-16.6684
1865852.90695.09313
1876052.5847.41601
1886254.43767.56244
1896352.164910.8351
1905356.0293-3.02935
1914651.3428-5.34284
1926756.550110.4499
1935948.024510.9755
1946452.40111.599
1953843.6702-5.67017
1965047.36142.63862
1974857.282-9.28199
1984849.3129-1.31292
1994749.0587-2.05871
2006653.826712.1733
2014736.521710.4783
2026346.203816.7962
2035853.8114.18899
2044456.4073-12.4073
2055156.45-5.44996
2064354.5178-11.5178
2075556.2986-1.29862
2083843.6637-5.66373
2094546.9715-1.97151
2105050.2644-0.26441
2115454.9733-0.973273
2125759.688-2.68797
2136055.65124.3488
2145552.36732.63272
2155657.6659-1.66586
2164944.554.45
2173750.4291-13.4291
2185959.6866-0.686557
2194655.5857-9.58575
2205154.223-3.22303
2215859.237-1.23696
2226460.08243.91756
2235353.151-0.15096
2244853.585-5.58504
2255157.1696-6.16955
2264748.5399-1.53986
2275952.95026.04984
2286256.02535.97465
2296261.21790.782091
2305154.7061-3.70614
2316450.972713.0273
2325251.72530.274719
2336761.81355.18653
2345058.6976-8.69762
2355454.8131-0.81313
2365851.95486.04521
2375651.17974.82026
2386355.53277.46733
2393134.6953-3.69529
2406556.8128.18797
2417156.576414.4236
2425061.7636-11.7636
2435753.4843.51596
2444747.7091-0.709141
2454748.1141-1.11413
2465758.8341-1.83407
2474353.4226-10.4226
2484149.6443-8.64429
2496354.47668.5234
2506354.82198.17814
2515658.1616-2.16161
2525153.5262-2.52619
2535055.2212-5.22119
2542251.1761-29.1761
2554153.2677-12.2677
2565954.85554.14454
2575658.3382-2.33823
2586660.36425.63576
2595351.84771.15231
2604248.6336-6.63362
2615245.45946.54058
2625454.9362-0.936218
2634446.6126-2.61261
2646253.4848.51596
2655353.2957-0.295666
2665048.63131.36872
2673645.4804-9.48038
2687659.318816.6812
2696656.42049.57957
2706257.43864.56142
2715955.85823.14183
2724761.9254-14.9254
2735551.68543.31462
2745856.93791.06213
2756053.98086.01922
2764450.3844-6.38438
2775754.05852.94154
2784546.918-1.91801

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 26 & 46.0103 & -20.0103 \tabularnewline
2 & 57 & 47.2762 & 9.7238 \tabularnewline
3 & 37 & 48.7416 & -11.7416 \tabularnewline
4 & 67 & 57.2474 & 9.75259 \tabularnewline
5 & 43 & 48.5508 & -5.55083 \tabularnewline
6 & 52 & 52.3204 & -0.320366 \tabularnewline
7 & 52 & 57.7244 & -5.7244 \tabularnewline
8 & 43 & 46.2415 & -3.24147 \tabularnewline
9 & 84 & 66.7589 & 17.2411 \tabularnewline
10 & 67 & 45.663 & 21.337 \tabularnewline
11 & 49 & 55.1422 & -6.14217 \tabularnewline
12 & 70 & 54.0582 & 15.9418 \tabularnewline
13 & 52 & 56.755 & -4.75499 \tabularnewline
14 & 58 & 59.4615 & -1.46151 \tabularnewline
15 & 68 & 53.0157 & 14.9843 \tabularnewline
16 & 62 & 55.8398 & 6.16021 \tabularnewline
17 & 43 & 55.5253 & -12.5253 \tabularnewline
18 & 56 & 55.9292 & 0.0708488 \tabularnewline
19 & 56 & 50.6171 & 5.38295 \tabularnewline
20 & 74 & 58.764 & 15.236 \tabularnewline
21 & 65 & 59.1769 & 5.82309 \tabularnewline
22 & 63 & 57.1291 & 5.87092 \tabularnewline
23 & 58 & 59.8202 & -1.82017 \tabularnewline
24 & 57 & 53.4479 & 3.55206 \tabularnewline
25 & 63 & 56.2873 & 6.71267 \tabularnewline
26 & 53 & 55.1302 & -2.13024 \tabularnewline
27 & 57 & 56.4179 & 0.58214 \tabularnewline
28 & 51 & 51.9748 & -0.974793 \tabularnewline
29 & 64 & 55.4863 & 8.51374 \tabularnewline
30 & 53 & 59.7713 & -6.77129 \tabularnewline
31 & 29 & 53.6045 & -24.6045 \tabularnewline
32 & 54 & 52.5642 & 1.43582 \tabularnewline
33 & 58 & 57.7218 & 0.278207 \tabularnewline
34 & 43 & 56.4254 & -13.4254 \tabularnewline
35 & 51 & 57.1891 & -6.18907 \tabularnewline
36 & 53 & 47.8893 & 5.11068 \tabularnewline
37 & 54 & 48.7382 & 5.26177 \tabularnewline
38 & 56 & 53.6967 & 2.30334 \tabularnewline
39 & 61 & 50.8428 & 10.1572 \tabularnewline
40 & 47 & 56.1378 & -9.13784 \tabularnewline
41 & 39 & 47.3478 & -8.34781 \tabularnewline
42 & 48 & 49.4691 & -1.46907 \tabularnewline
43 & 50 & 57.1465 & -7.14648 \tabularnewline
44 & 35 & 60.6822 & -25.6822 \tabularnewline
45 & 30 & 52.7239 & -22.7239 \tabularnewline
46 & 68 & 50.5788 & 17.4212 \tabularnewline
47 & 49 & 50.4681 & -1.46815 \tabularnewline
48 & 61 & 54.4613 & 6.53869 \tabularnewline
49 & 67 & 51.641 & 15.359 \tabularnewline
50 & 47 & 51.2286 & -4.22856 \tabularnewline
51 & 56 & 57.5534 & -1.55343 \tabularnewline
52 & 50 & 48.9253 & 1.07467 \tabularnewline
53 & 43 & 52.4118 & -9.41178 \tabularnewline
54 & 67 & 61.0455 & 5.95449 \tabularnewline
55 & 62 & 55.5074 & 6.49263 \tabularnewline
56 & 57 & 56.1166 & 0.883404 \tabularnewline
57 & 41 & 58.2033 & -17.2033 \tabularnewline
58 & 54 & 51.3119 & 2.68814 \tabularnewline
59 & 45 & 44.941 & 0.0590176 \tabularnewline
60 & 48 & 54.6426 & -6.64258 \tabularnewline
61 & 61 & 55.3856 & 5.61443 \tabularnewline
62 & 56 & 53.8266 & 2.17344 \tabularnewline
63 & 41 & 52.8402 & -11.8402 \tabularnewline
64 & 43 & 53.8801 & -10.8801 \tabularnewline
65 & 53 & 49.9287 & 3.07135 \tabularnewline
66 & 44 & 48.712 & -4.71201 \tabularnewline
67 & 66 & 56.9993 & 9.00069 \tabularnewline
68 & 58 & 52.5052 & 5.49482 \tabularnewline
69 & 46 & 53.0255 & -7.02547 \tabularnewline
70 & 37 & 52.5301 & -15.5301 \tabularnewline
71 & 51 & 54.468 & -3.46804 \tabularnewline
72 & 51 & 52.1475 & -1.14747 \tabularnewline
73 & 56 & 47.6021 & 8.39787 \tabularnewline
74 & 66 & 44.8687 & 21.1313 \tabularnewline
75 & 37 & 51.9856 & -14.9856 \tabularnewline
76 & 42 & 54.383 & -12.383 \tabularnewline
77 & 38 & 48.9545 & -10.9545 \tabularnewline
78 & 66 & 54.6473 & 11.3527 \tabularnewline
79 & 34 & 51.5833 & -17.5833 \tabularnewline
80 & 53 & 57.4746 & -4.47459 \tabularnewline
81 & 49 & 53.0259 & -4.02592 \tabularnewline
82 & 55 & 53.7795 & 1.22045 \tabularnewline
83 & 49 & 57.0955 & -8.09547 \tabularnewline
84 & 59 & 54.0606 & 4.93943 \tabularnewline
85 & 40 & 49.8597 & -9.85972 \tabularnewline
86 & 58 & 54.1311 & 3.86895 \tabularnewline
87 & 60 & 53.3733 & 6.62671 \tabularnewline
88 & 63 & 54.6747 & 8.32527 \tabularnewline
89 & 56 & 52.5868 & 3.41316 \tabularnewline
90 & 54 & 54.4433 & -0.443259 \tabularnewline
91 & 52 & 49.0547 & 2.94532 \tabularnewline
92 & 34 & 50.9452 & -16.9452 \tabularnewline
93 & 69 & 58.3716 & 10.6284 \tabularnewline
94 & 32 & 52.5673 & -20.5673 \tabularnewline
95 & 48 & 49.054 & -1.05396 \tabularnewline
96 & 67 & 56.9231 & 10.0769 \tabularnewline
97 & 58 & 54.7207 & 3.27931 \tabularnewline
98 & 57 & 52.5299 & 4.47008 \tabularnewline
99 & 42 & 47.6977 & -5.69767 \tabularnewline
100 & 64 & 53.412 & 10.588 \tabularnewline
101 & 58 & 55.2626 & 2.7374 \tabularnewline
102 & 66 & 58.5687 & 7.43125 \tabularnewline
103 & 26 & 47.8438 & -21.8438 \tabularnewline
104 & 61 & 58.5668 & 2.43317 \tabularnewline
105 & 52 & 51.4814 & 0.518565 \tabularnewline
106 & 51 & 51.332 & -0.332044 \tabularnewline
107 & 55 & 44.1542 & 10.8458 \tabularnewline
108 & 50 & 54.733 & -4.733 \tabularnewline
109 & 60 & 49.8231 & 10.1769 \tabularnewline
110 & 56 & 48.1393 & 7.86067 \tabularnewline
111 & 63 & 54.9947 & 8.00527 \tabularnewline
112 & 61 & 46.8999 & 14.1001 \tabularnewline
113 & 52 & 47.3116 & 4.68844 \tabularnewline
114 & 16 & 49.3573 & -33.3573 \tabularnewline
115 & 46 & 55.9075 & -9.90749 \tabularnewline
116 & 56 & 57.6239 & -1.62393 \tabularnewline
117 & 52 & 49.236 & 2.76403 \tabularnewline
118 & 55 & 47.9471 & 7.0529 \tabularnewline
119 & 50 & 51.0088 & -1.00883 \tabularnewline
120 & 59 & 53.8803 & 5.11966 \tabularnewline
121 & 60 & 56.4595 & 3.54052 \tabularnewline
122 & 52 & 50.471 & 1.52897 \tabularnewline
123 & 44 & 41.6773 & 2.32267 \tabularnewline
124 & 67 & 58.9314 & 8.0686 \tabularnewline
125 & 52 & 52.4539 & -0.453911 \tabularnewline
126 & 55 & 56.066 & -1.066 \tabularnewline
127 & 37 & 54.1699 & -17.1699 \tabularnewline
128 & 54 & 56.3505 & -2.35055 \tabularnewline
129 & 72 & 57.8747 & 14.1253 \tabularnewline
130 & 51 & 54.7785 & -3.77852 \tabularnewline
131 & 48 & 52.9057 & -4.90567 \tabularnewline
132 & 60 & 55.4505 & 4.54947 \tabularnewline
133 & 50 & 54.6337 & -4.63375 \tabularnewline
134 & 63 & 55.5319 & 7.46809 \tabularnewline
135 & 33 & 51.4607 & -18.4607 \tabularnewline
136 & 67 & 51.594 & 15.406 \tabularnewline
137 & 46 & 54.3394 & -8.33941 \tabularnewline
138 & 54 & 58.6249 & -4.62488 \tabularnewline
139 & 59 & 56.2526 & 2.74744 \tabularnewline
140 & 61 & 48.6667 & 12.3333 \tabularnewline
141 & 33 & 41.3592 & -8.3592 \tabularnewline
142 & 47 & 57.3217 & -10.3217 \tabularnewline
143 & 69 & 54.3946 & 14.6054 \tabularnewline
144 & 52 & 59.787 & -7.78704 \tabularnewline
145 & 55 & 56.7086 & -1.70855 \tabularnewline
146 & 41 & 45.6664 & -4.6664 \tabularnewline
147 & 73 & 47.6006 & 25.3994 \tabularnewline
148 & 52 & 51.098 & 0.902002 \tabularnewline
149 & 50 & 49.3842 & 0.615837 \tabularnewline
150 & 51 & 50.8981 & 0.101931 \tabularnewline
151 & 60 & 59.1798 & 0.820176 \tabularnewline
152 & 56 & 52.7154 & 3.2846 \tabularnewline
153 & 56 & 53.5155 & 2.48447 \tabularnewline
154 & 29 & 51.6277 & -22.6277 \tabularnewline
155 & 66 & 52.9085 & 13.0915 \tabularnewline
156 & 66 & 51.0385 & 14.9615 \tabularnewline
157 & 73 & 56.5293 & 16.4707 \tabularnewline
158 & 55 & 56.5397 & -1.53971 \tabularnewline
159 & 64 & 51.9865 & 12.0135 \tabularnewline
160 & 40 & 53.5255 & -13.5255 \tabularnewline
161 & 46 & 54.8714 & -8.87142 \tabularnewline
162 & 58 & 56.3882 & 1.61178 \tabularnewline
163 & 43 & 50.4054 & -7.40536 \tabularnewline
164 & 61 & 51.5554 & 9.4446 \tabularnewline
165 & 51 & 43.3133 & 7.68667 \tabularnewline
166 & 50 & 52.9323 & -2.9323 \tabularnewline
167 & 52 & 57.7399 & -5.73991 \tabularnewline
168 & 54 & 54.8381 & -0.838065 \tabularnewline
169 & 66 & 49.9122 & 16.0878 \tabularnewline
170 & 61 & 55.2419 & 5.75811 \tabularnewline
171 & 80 & 63.0105 & 16.9895 \tabularnewline
172 & 51 & 51.249 & -0.249015 \tabularnewline
173 & 56 & 54.9303 & 1.06971 \tabularnewline
174 & 56 & 52.1963 & 3.80367 \tabularnewline
175 & 56 & 53.0755 & 2.92451 \tabularnewline
176 & 53 & 57.2305 & -4.2305 \tabularnewline
177 & 47 & 49.8326 & -2.83262 \tabularnewline
178 & 25 & 48.9018 & -23.9018 \tabularnewline
179 & 47 & 53.8827 & -6.88269 \tabularnewline
180 & 46 & 47.4564 & -1.45641 \tabularnewline
181 & 50 & 47.1799 & 2.82006 \tabularnewline
182 & 39 & 45.2156 & -6.21565 \tabularnewline
183 & 51 & 56.4016 & -5.40163 \tabularnewline
184 & 58 & 56.6583 & 1.34174 \tabularnewline
185 & 35 & 51.6684 & -16.6684 \tabularnewline
186 & 58 & 52.9069 & 5.09313 \tabularnewline
187 & 60 & 52.584 & 7.41601 \tabularnewline
188 & 62 & 54.4376 & 7.56244 \tabularnewline
189 & 63 & 52.1649 & 10.8351 \tabularnewline
190 & 53 & 56.0293 & -3.02935 \tabularnewline
191 & 46 & 51.3428 & -5.34284 \tabularnewline
192 & 67 & 56.5501 & 10.4499 \tabularnewline
193 & 59 & 48.0245 & 10.9755 \tabularnewline
194 & 64 & 52.401 & 11.599 \tabularnewline
195 & 38 & 43.6702 & -5.67017 \tabularnewline
196 & 50 & 47.3614 & 2.63862 \tabularnewline
197 & 48 & 57.282 & -9.28199 \tabularnewline
198 & 48 & 49.3129 & -1.31292 \tabularnewline
199 & 47 & 49.0587 & -2.05871 \tabularnewline
200 & 66 & 53.8267 & 12.1733 \tabularnewline
201 & 47 & 36.5217 & 10.4783 \tabularnewline
202 & 63 & 46.2038 & 16.7962 \tabularnewline
203 & 58 & 53.811 & 4.18899 \tabularnewline
204 & 44 & 56.4073 & -12.4073 \tabularnewline
205 & 51 & 56.45 & -5.44996 \tabularnewline
206 & 43 & 54.5178 & -11.5178 \tabularnewline
207 & 55 & 56.2986 & -1.29862 \tabularnewline
208 & 38 & 43.6637 & -5.66373 \tabularnewline
209 & 45 & 46.9715 & -1.97151 \tabularnewline
210 & 50 & 50.2644 & -0.26441 \tabularnewline
211 & 54 & 54.9733 & -0.973273 \tabularnewline
212 & 57 & 59.688 & -2.68797 \tabularnewline
213 & 60 & 55.6512 & 4.3488 \tabularnewline
214 & 55 & 52.3673 & 2.63272 \tabularnewline
215 & 56 & 57.6659 & -1.66586 \tabularnewline
216 & 49 & 44.55 & 4.45 \tabularnewline
217 & 37 & 50.4291 & -13.4291 \tabularnewline
218 & 59 & 59.6866 & -0.686557 \tabularnewline
219 & 46 & 55.5857 & -9.58575 \tabularnewline
220 & 51 & 54.223 & -3.22303 \tabularnewline
221 & 58 & 59.237 & -1.23696 \tabularnewline
222 & 64 & 60.0824 & 3.91756 \tabularnewline
223 & 53 & 53.151 & -0.15096 \tabularnewline
224 & 48 & 53.585 & -5.58504 \tabularnewline
225 & 51 & 57.1696 & -6.16955 \tabularnewline
226 & 47 & 48.5399 & -1.53986 \tabularnewline
227 & 59 & 52.9502 & 6.04984 \tabularnewline
228 & 62 & 56.0253 & 5.97465 \tabularnewline
229 & 62 & 61.2179 & 0.782091 \tabularnewline
230 & 51 & 54.7061 & -3.70614 \tabularnewline
231 & 64 & 50.9727 & 13.0273 \tabularnewline
232 & 52 & 51.7253 & 0.274719 \tabularnewline
233 & 67 & 61.8135 & 5.18653 \tabularnewline
234 & 50 & 58.6976 & -8.69762 \tabularnewline
235 & 54 & 54.8131 & -0.81313 \tabularnewline
236 & 58 & 51.9548 & 6.04521 \tabularnewline
237 & 56 & 51.1797 & 4.82026 \tabularnewline
238 & 63 & 55.5327 & 7.46733 \tabularnewline
239 & 31 & 34.6953 & -3.69529 \tabularnewline
240 & 65 & 56.812 & 8.18797 \tabularnewline
241 & 71 & 56.5764 & 14.4236 \tabularnewline
242 & 50 & 61.7636 & -11.7636 \tabularnewline
243 & 57 & 53.484 & 3.51596 \tabularnewline
244 & 47 & 47.7091 & -0.709141 \tabularnewline
245 & 47 & 48.1141 & -1.11413 \tabularnewline
246 & 57 & 58.8341 & -1.83407 \tabularnewline
247 & 43 & 53.4226 & -10.4226 \tabularnewline
248 & 41 & 49.6443 & -8.64429 \tabularnewline
249 & 63 & 54.4766 & 8.5234 \tabularnewline
250 & 63 & 54.8219 & 8.17814 \tabularnewline
251 & 56 & 58.1616 & -2.16161 \tabularnewline
252 & 51 & 53.5262 & -2.52619 \tabularnewline
253 & 50 & 55.2212 & -5.22119 \tabularnewline
254 & 22 & 51.1761 & -29.1761 \tabularnewline
255 & 41 & 53.2677 & -12.2677 \tabularnewline
256 & 59 & 54.8555 & 4.14454 \tabularnewline
257 & 56 & 58.3382 & -2.33823 \tabularnewline
258 & 66 & 60.3642 & 5.63576 \tabularnewline
259 & 53 & 51.8477 & 1.15231 \tabularnewline
260 & 42 & 48.6336 & -6.63362 \tabularnewline
261 & 52 & 45.4594 & 6.54058 \tabularnewline
262 & 54 & 54.9362 & -0.936218 \tabularnewline
263 & 44 & 46.6126 & -2.61261 \tabularnewline
264 & 62 & 53.484 & 8.51596 \tabularnewline
265 & 53 & 53.2957 & -0.295666 \tabularnewline
266 & 50 & 48.6313 & 1.36872 \tabularnewline
267 & 36 & 45.4804 & -9.48038 \tabularnewline
268 & 76 & 59.3188 & 16.6812 \tabularnewline
269 & 66 & 56.4204 & 9.57957 \tabularnewline
270 & 62 & 57.4386 & 4.56142 \tabularnewline
271 & 59 & 55.8582 & 3.14183 \tabularnewline
272 & 47 & 61.9254 & -14.9254 \tabularnewline
273 & 55 & 51.6854 & 3.31462 \tabularnewline
274 & 58 & 56.9379 & 1.06213 \tabularnewline
275 & 60 & 53.9808 & 6.01922 \tabularnewline
276 & 44 & 50.3844 & -6.38438 \tabularnewline
277 & 57 & 54.0585 & 2.94154 \tabularnewline
278 & 45 & 46.918 & -1.91801 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270603&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]46.0103[/C][C]-20.0103[/C][/ROW]
[ROW][C]2[/C][C]57[/C][C]47.2762[/C][C]9.7238[/C][/ROW]
[ROW][C]3[/C][C]37[/C][C]48.7416[/C][C]-11.7416[/C][/ROW]
[ROW][C]4[/C][C]67[/C][C]57.2474[/C][C]9.75259[/C][/ROW]
[ROW][C]5[/C][C]43[/C][C]48.5508[/C][C]-5.55083[/C][/ROW]
[ROW][C]6[/C][C]52[/C][C]52.3204[/C][C]-0.320366[/C][/ROW]
[ROW][C]7[/C][C]52[/C][C]57.7244[/C][C]-5.7244[/C][/ROW]
[ROW][C]8[/C][C]43[/C][C]46.2415[/C][C]-3.24147[/C][/ROW]
[ROW][C]9[/C][C]84[/C][C]66.7589[/C][C]17.2411[/C][/ROW]
[ROW][C]10[/C][C]67[/C][C]45.663[/C][C]21.337[/C][/ROW]
[ROW][C]11[/C][C]49[/C][C]55.1422[/C][C]-6.14217[/C][/ROW]
[ROW][C]12[/C][C]70[/C][C]54.0582[/C][C]15.9418[/C][/ROW]
[ROW][C]13[/C][C]52[/C][C]56.755[/C][C]-4.75499[/C][/ROW]
[ROW][C]14[/C][C]58[/C][C]59.4615[/C][C]-1.46151[/C][/ROW]
[ROW][C]15[/C][C]68[/C][C]53.0157[/C][C]14.9843[/C][/ROW]
[ROW][C]16[/C][C]62[/C][C]55.8398[/C][C]6.16021[/C][/ROW]
[ROW][C]17[/C][C]43[/C][C]55.5253[/C][C]-12.5253[/C][/ROW]
[ROW][C]18[/C][C]56[/C][C]55.9292[/C][C]0.0708488[/C][/ROW]
[ROW][C]19[/C][C]56[/C][C]50.6171[/C][C]5.38295[/C][/ROW]
[ROW][C]20[/C][C]74[/C][C]58.764[/C][C]15.236[/C][/ROW]
[ROW][C]21[/C][C]65[/C][C]59.1769[/C][C]5.82309[/C][/ROW]
[ROW][C]22[/C][C]63[/C][C]57.1291[/C][C]5.87092[/C][/ROW]
[ROW][C]23[/C][C]58[/C][C]59.8202[/C][C]-1.82017[/C][/ROW]
[ROW][C]24[/C][C]57[/C][C]53.4479[/C][C]3.55206[/C][/ROW]
[ROW][C]25[/C][C]63[/C][C]56.2873[/C][C]6.71267[/C][/ROW]
[ROW][C]26[/C][C]53[/C][C]55.1302[/C][C]-2.13024[/C][/ROW]
[ROW][C]27[/C][C]57[/C][C]56.4179[/C][C]0.58214[/C][/ROW]
[ROW][C]28[/C][C]51[/C][C]51.9748[/C][C]-0.974793[/C][/ROW]
[ROW][C]29[/C][C]64[/C][C]55.4863[/C][C]8.51374[/C][/ROW]
[ROW][C]30[/C][C]53[/C][C]59.7713[/C][C]-6.77129[/C][/ROW]
[ROW][C]31[/C][C]29[/C][C]53.6045[/C][C]-24.6045[/C][/ROW]
[ROW][C]32[/C][C]54[/C][C]52.5642[/C][C]1.43582[/C][/ROW]
[ROW][C]33[/C][C]58[/C][C]57.7218[/C][C]0.278207[/C][/ROW]
[ROW][C]34[/C][C]43[/C][C]56.4254[/C][C]-13.4254[/C][/ROW]
[ROW][C]35[/C][C]51[/C][C]57.1891[/C][C]-6.18907[/C][/ROW]
[ROW][C]36[/C][C]53[/C][C]47.8893[/C][C]5.11068[/C][/ROW]
[ROW][C]37[/C][C]54[/C][C]48.7382[/C][C]5.26177[/C][/ROW]
[ROW][C]38[/C][C]56[/C][C]53.6967[/C][C]2.30334[/C][/ROW]
[ROW][C]39[/C][C]61[/C][C]50.8428[/C][C]10.1572[/C][/ROW]
[ROW][C]40[/C][C]47[/C][C]56.1378[/C][C]-9.13784[/C][/ROW]
[ROW][C]41[/C][C]39[/C][C]47.3478[/C][C]-8.34781[/C][/ROW]
[ROW][C]42[/C][C]48[/C][C]49.4691[/C][C]-1.46907[/C][/ROW]
[ROW][C]43[/C][C]50[/C][C]57.1465[/C][C]-7.14648[/C][/ROW]
[ROW][C]44[/C][C]35[/C][C]60.6822[/C][C]-25.6822[/C][/ROW]
[ROW][C]45[/C][C]30[/C][C]52.7239[/C][C]-22.7239[/C][/ROW]
[ROW][C]46[/C][C]68[/C][C]50.5788[/C][C]17.4212[/C][/ROW]
[ROW][C]47[/C][C]49[/C][C]50.4681[/C][C]-1.46815[/C][/ROW]
[ROW][C]48[/C][C]61[/C][C]54.4613[/C][C]6.53869[/C][/ROW]
[ROW][C]49[/C][C]67[/C][C]51.641[/C][C]15.359[/C][/ROW]
[ROW][C]50[/C][C]47[/C][C]51.2286[/C][C]-4.22856[/C][/ROW]
[ROW][C]51[/C][C]56[/C][C]57.5534[/C][C]-1.55343[/C][/ROW]
[ROW][C]52[/C][C]50[/C][C]48.9253[/C][C]1.07467[/C][/ROW]
[ROW][C]53[/C][C]43[/C][C]52.4118[/C][C]-9.41178[/C][/ROW]
[ROW][C]54[/C][C]67[/C][C]61.0455[/C][C]5.95449[/C][/ROW]
[ROW][C]55[/C][C]62[/C][C]55.5074[/C][C]6.49263[/C][/ROW]
[ROW][C]56[/C][C]57[/C][C]56.1166[/C][C]0.883404[/C][/ROW]
[ROW][C]57[/C][C]41[/C][C]58.2033[/C][C]-17.2033[/C][/ROW]
[ROW][C]58[/C][C]54[/C][C]51.3119[/C][C]2.68814[/C][/ROW]
[ROW][C]59[/C][C]45[/C][C]44.941[/C][C]0.0590176[/C][/ROW]
[ROW][C]60[/C][C]48[/C][C]54.6426[/C][C]-6.64258[/C][/ROW]
[ROW][C]61[/C][C]61[/C][C]55.3856[/C][C]5.61443[/C][/ROW]
[ROW][C]62[/C][C]56[/C][C]53.8266[/C][C]2.17344[/C][/ROW]
[ROW][C]63[/C][C]41[/C][C]52.8402[/C][C]-11.8402[/C][/ROW]
[ROW][C]64[/C][C]43[/C][C]53.8801[/C][C]-10.8801[/C][/ROW]
[ROW][C]65[/C][C]53[/C][C]49.9287[/C][C]3.07135[/C][/ROW]
[ROW][C]66[/C][C]44[/C][C]48.712[/C][C]-4.71201[/C][/ROW]
[ROW][C]67[/C][C]66[/C][C]56.9993[/C][C]9.00069[/C][/ROW]
[ROW][C]68[/C][C]58[/C][C]52.5052[/C][C]5.49482[/C][/ROW]
[ROW][C]69[/C][C]46[/C][C]53.0255[/C][C]-7.02547[/C][/ROW]
[ROW][C]70[/C][C]37[/C][C]52.5301[/C][C]-15.5301[/C][/ROW]
[ROW][C]71[/C][C]51[/C][C]54.468[/C][C]-3.46804[/C][/ROW]
[ROW][C]72[/C][C]51[/C][C]52.1475[/C][C]-1.14747[/C][/ROW]
[ROW][C]73[/C][C]56[/C][C]47.6021[/C][C]8.39787[/C][/ROW]
[ROW][C]74[/C][C]66[/C][C]44.8687[/C][C]21.1313[/C][/ROW]
[ROW][C]75[/C][C]37[/C][C]51.9856[/C][C]-14.9856[/C][/ROW]
[ROW][C]76[/C][C]42[/C][C]54.383[/C][C]-12.383[/C][/ROW]
[ROW][C]77[/C][C]38[/C][C]48.9545[/C][C]-10.9545[/C][/ROW]
[ROW][C]78[/C][C]66[/C][C]54.6473[/C][C]11.3527[/C][/ROW]
[ROW][C]79[/C][C]34[/C][C]51.5833[/C][C]-17.5833[/C][/ROW]
[ROW][C]80[/C][C]53[/C][C]57.4746[/C][C]-4.47459[/C][/ROW]
[ROW][C]81[/C][C]49[/C][C]53.0259[/C][C]-4.02592[/C][/ROW]
[ROW][C]82[/C][C]55[/C][C]53.7795[/C][C]1.22045[/C][/ROW]
[ROW][C]83[/C][C]49[/C][C]57.0955[/C][C]-8.09547[/C][/ROW]
[ROW][C]84[/C][C]59[/C][C]54.0606[/C][C]4.93943[/C][/ROW]
[ROW][C]85[/C][C]40[/C][C]49.8597[/C][C]-9.85972[/C][/ROW]
[ROW][C]86[/C][C]58[/C][C]54.1311[/C][C]3.86895[/C][/ROW]
[ROW][C]87[/C][C]60[/C][C]53.3733[/C][C]6.62671[/C][/ROW]
[ROW][C]88[/C][C]63[/C][C]54.6747[/C][C]8.32527[/C][/ROW]
[ROW][C]89[/C][C]56[/C][C]52.5868[/C][C]3.41316[/C][/ROW]
[ROW][C]90[/C][C]54[/C][C]54.4433[/C][C]-0.443259[/C][/ROW]
[ROW][C]91[/C][C]52[/C][C]49.0547[/C][C]2.94532[/C][/ROW]
[ROW][C]92[/C][C]34[/C][C]50.9452[/C][C]-16.9452[/C][/ROW]
[ROW][C]93[/C][C]69[/C][C]58.3716[/C][C]10.6284[/C][/ROW]
[ROW][C]94[/C][C]32[/C][C]52.5673[/C][C]-20.5673[/C][/ROW]
[ROW][C]95[/C][C]48[/C][C]49.054[/C][C]-1.05396[/C][/ROW]
[ROW][C]96[/C][C]67[/C][C]56.9231[/C][C]10.0769[/C][/ROW]
[ROW][C]97[/C][C]58[/C][C]54.7207[/C][C]3.27931[/C][/ROW]
[ROW][C]98[/C][C]57[/C][C]52.5299[/C][C]4.47008[/C][/ROW]
[ROW][C]99[/C][C]42[/C][C]47.6977[/C][C]-5.69767[/C][/ROW]
[ROW][C]100[/C][C]64[/C][C]53.412[/C][C]10.588[/C][/ROW]
[ROW][C]101[/C][C]58[/C][C]55.2626[/C][C]2.7374[/C][/ROW]
[ROW][C]102[/C][C]66[/C][C]58.5687[/C][C]7.43125[/C][/ROW]
[ROW][C]103[/C][C]26[/C][C]47.8438[/C][C]-21.8438[/C][/ROW]
[ROW][C]104[/C][C]61[/C][C]58.5668[/C][C]2.43317[/C][/ROW]
[ROW][C]105[/C][C]52[/C][C]51.4814[/C][C]0.518565[/C][/ROW]
[ROW][C]106[/C][C]51[/C][C]51.332[/C][C]-0.332044[/C][/ROW]
[ROW][C]107[/C][C]55[/C][C]44.1542[/C][C]10.8458[/C][/ROW]
[ROW][C]108[/C][C]50[/C][C]54.733[/C][C]-4.733[/C][/ROW]
[ROW][C]109[/C][C]60[/C][C]49.8231[/C][C]10.1769[/C][/ROW]
[ROW][C]110[/C][C]56[/C][C]48.1393[/C][C]7.86067[/C][/ROW]
[ROW][C]111[/C][C]63[/C][C]54.9947[/C][C]8.00527[/C][/ROW]
[ROW][C]112[/C][C]61[/C][C]46.8999[/C][C]14.1001[/C][/ROW]
[ROW][C]113[/C][C]52[/C][C]47.3116[/C][C]4.68844[/C][/ROW]
[ROW][C]114[/C][C]16[/C][C]49.3573[/C][C]-33.3573[/C][/ROW]
[ROW][C]115[/C][C]46[/C][C]55.9075[/C][C]-9.90749[/C][/ROW]
[ROW][C]116[/C][C]56[/C][C]57.6239[/C][C]-1.62393[/C][/ROW]
[ROW][C]117[/C][C]52[/C][C]49.236[/C][C]2.76403[/C][/ROW]
[ROW][C]118[/C][C]55[/C][C]47.9471[/C][C]7.0529[/C][/ROW]
[ROW][C]119[/C][C]50[/C][C]51.0088[/C][C]-1.00883[/C][/ROW]
[ROW][C]120[/C][C]59[/C][C]53.8803[/C][C]5.11966[/C][/ROW]
[ROW][C]121[/C][C]60[/C][C]56.4595[/C][C]3.54052[/C][/ROW]
[ROW][C]122[/C][C]52[/C][C]50.471[/C][C]1.52897[/C][/ROW]
[ROW][C]123[/C][C]44[/C][C]41.6773[/C][C]2.32267[/C][/ROW]
[ROW][C]124[/C][C]67[/C][C]58.9314[/C][C]8.0686[/C][/ROW]
[ROW][C]125[/C][C]52[/C][C]52.4539[/C][C]-0.453911[/C][/ROW]
[ROW][C]126[/C][C]55[/C][C]56.066[/C][C]-1.066[/C][/ROW]
[ROW][C]127[/C][C]37[/C][C]54.1699[/C][C]-17.1699[/C][/ROW]
[ROW][C]128[/C][C]54[/C][C]56.3505[/C][C]-2.35055[/C][/ROW]
[ROW][C]129[/C][C]72[/C][C]57.8747[/C][C]14.1253[/C][/ROW]
[ROW][C]130[/C][C]51[/C][C]54.7785[/C][C]-3.77852[/C][/ROW]
[ROW][C]131[/C][C]48[/C][C]52.9057[/C][C]-4.90567[/C][/ROW]
[ROW][C]132[/C][C]60[/C][C]55.4505[/C][C]4.54947[/C][/ROW]
[ROW][C]133[/C][C]50[/C][C]54.6337[/C][C]-4.63375[/C][/ROW]
[ROW][C]134[/C][C]63[/C][C]55.5319[/C][C]7.46809[/C][/ROW]
[ROW][C]135[/C][C]33[/C][C]51.4607[/C][C]-18.4607[/C][/ROW]
[ROW][C]136[/C][C]67[/C][C]51.594[/C][C]15.406[/C][/ROW]
[ROW][C]137[/C][C]46[/C][C]54.3394[/C][C]-8.33941[/C][/ROW]
[ROW][C]138[/C][C]54[/C][C]58.6249[/C][C]-4.62488[/C][/ROW]
[ROW][C]139[/C][C]59[/C][C]56.2526[/C][C]2.74744[/C][/ROW]
[ROW][C]140[/C][C]61[/C][C]48.6667[/C][C]12.3333[/C][/ROW]
[ROW][C]141[/C][C]33[/C][C]41.3592[/C][C]-8.3592[/C][/ROW]
[ROW][C]142[/C][C]47[/C][C]57.3217[/C][C]-10.3217[/C][/ROW]
[ROW][C]143[/C][C]69[/C][C]54.3946[/C][C]14.6054[/C][/ROW]
[ROW][C]144[/C][C]52[/C][C]59.787[/C][C]-7.78704[/C][/ROW]
[ROW][C]145[/C][C]55[/C][C]56.7086[/C][C]-1.70855[/C][/ROW]
[ROW][C]146[/C][C]41[/C][C]45.6664[/C][C]-4.6664[/C][/ROW]
[ROW][C]147[/C][C]73[/C][C]47.6006[/C][C]25.3994[/C][/ROW]
[ROW][C]148[/C][C]52[/C][C]51.098[/C][C]0.902002[/C][/ROW]
[ROW][C]149[/C][C]50[/C][C]49.3842[/C][C]0.615837[/C][/ROW]
[ROW][C]150[/C][C]51[/C][C]50.8981[/C][C]0.101931[/C][/ROW]
[ROW][C]151[/C][C]60[/C][C]59.1798[/C][C]0.820176[/C][/ROW]
[ROW][C]152[/C][C]56[/C][C]52.7154[/C][C]3.2846[/C][/ROW]
[ROW][C]153[/C][C]56[/C][C]53.5155[/C][C]2.48447[/C][/ROW]
[ROW][C]154[/C][C]29[/C][C]51.6277[/C][C]-22.6277[/C][/ROW]
[ROW][C]155[/C][C]66[/C][C]52.9085[/C][C]13.0915[/C][/ROW]
[ROW][C]156[/C][C]66[/C][C]51.0385[/C][C]14.9615[/C][/ROW]
[ROW][C]157[/C][C]73[/C][C]56.5293[/C][C]16.4707[/C][/ROW]
[ROW][C]158[/C][C]55[/C][C]56.5397[/C][C]-1.53971[/C][/ROW]
[ROW][C]159[/C][C]64[/C][C]51.9865[/C][C]12.0135[/C][/ROW]
[ROW][C]160[/C][C]40[/C][C]53.5255[/C][C]-13.5255[/C][/ROW]
[ROW][C]161[/C][C]46[/C][C]54.8714[/C][C]-8.87142[/C][/ROW]
[ROW][C]162[/C][C]58[/C][C]56.3882[/C][C]1.61178[/C][/ROW]
[ROW][C]163[/C][C]43[/C][C]50.4054[/C][C]-7.40536[/C][/ROW]
[ROW][C]164[/C][C]61[/C][C]51.5554[/C][C]9.4446[/C][/ROW]
[ROW][C]165[/C][C]51[/C][C]43.3133[/C][C]7.68667[/C][/ROW]
[ROW][C]166[/C][C]50[/C][C]52.9323[/C][C]-2.9323[/C][/ROW]
[ROW][C]167[/C][C]52[/C][C]57.7399[/C][C]-5.73991[/C][/ROW]
[ROW][C]168[/C][C]54[/C][C]54.8381[/C][C]-0.838065[/C][/ROW]
[ROW][C]169[/C][C]66[/C][C]49.9122[/C][C]16.0878[/C][/ROW]
[ROW][C]170[/C][C]61[/C][C]55.2419[/C][C]5.75811[/C][/ROW]
[ROW][C]171[/C][C]80[/C][C]63.0105[/C][C]16.9895[/C][/ROW]
[ROW][C]172[/C][C]51[/C][C]51.249[/C][C]-0.249015[/C][/ROW]
[ROW][C]173[/C][C]56[/C][C]54.9303[/C][C]1.06971[/C][/ROW]
[ROW][C]174[/C][C]56[/C][C]52.1963[/C][C]3.80367[/C][/ROW]
[ROW][C]175[/C][C]56[/C][C]53.0755[/C][C]2.92451[/C][/ROW]
[ROW][C]176[/C][C]53[/C][C]57.2305[/C][C]-4.2305[/C][/ROW]
[ROW][C]177[/C][C]47[/C][C]49.8326[/C][C]-2.83262[/C][/ROW]
[ROW][C]178[/C][C]25[/C][C]48.9018[/C][C]-23.9018[/C][/ROW]
[ROW][C]179[/C][C]47[/C][C]53.8827[/C][C]-6.88269[/C][/ROW]
[ROW][C]180[/C][C]46[/C][C]47.4564[/C][C]-1.45641[/C][/ROW]
[ROW][C]181[/C][C]50[/C][C]47.1799[/C][C]2.82006[/C][/ROW]
[ROW][C]182[/C][C]39[/C][C]45.2156[/C][C]-6.21565[/C][/ROW]
[ROW][C]183[/C][C]51[/C][C]56.4016[/C][C]-5.40163[/C][/ROW]
[ROW][C]184[/C][C]58[/C][C]56.6583[/C][C]1.34174[/C][/ROW]
[ROW][C]185[/C][C]35[/C][C]51.6684[/C][C]-16.6684[/C][/ROW]
[ROW][C]186[/C][C]58[/C][C]52.9069[/C][C]5.09313[/C][/ROW]
[ROW][C]187[/C][C]60[/C][C]52.584[/C][C]7.41601[/C][/ROW]
[ROW][C]188[/C][C]62[/C][C]54.4376[/C][C]7.56244[/C][/ROW]
[ROW][C]189[/C][C]63[/C][C]52.1649[/C][C]10.8351[/C][/ROW]
[ROW][C]190[/C][C]53[/C][C]56.0293[/C][C]-3.02935[/C][/ROW]
[ROW][C]191[/C][C]46[/C][C]51.3428[/C][C]-5.34284[/C][/ROW]
[ROW][C]192[/C][C]67[/C][C]56.5501[/C][C]10.4499[/C][/ROW]
[ROW][C]193[/C][C]59[/C][C]48.0245[/C][C]10.9755[/C][/ROW]
[ROW][C]194[/C][C]64[/C][C]52.401[/C][C]11.599[/C][/ROW]
[ROW][C]195[/C][C]38[/C][C]43.6702[/C][C]-5.67017[/C][/ROW]
[ROW][C]196[/C][C]50[/C][C]47.3614[/C][C]2.63862[/C][/ROW]
[ROW][C]197[/C][C]48[/C][C]57.282[/C][C]-9.28199[/C][/ROW]
[ROW][C]198[/C][C]48[/C][C]49.3129[/C][C]-1.31292[/C][/ROW]
[ROW][C]199[/C][C]47[/C][C]49.0587[/C][C]-2.05871[/C][/ROW]
[ROW][C]200[/C][C]66[/C][C]53.8267[/C][C]12.1733[/C][/ROW]
[ROW][C]201[/C][C]47[/C][C]36.5217[/C][C]10.4783[/C][/ROW]
[ROW][C]202[/C][C]63[/C][C]46.2038[/C][C]16.7962[/C][/ROW]
[ROW][C]203[/C][C]58[/C][C]53.811[/C][C]4.18899[/C][/ROW]
[ROW][C]204[/C][C]44[/C][C]56.4073[/C][C]-12.4073[/C][/ROW]
[ROW][C]205[/C][C]51[/C][C]56.45[/C][C]-5.44996[/C][/ROW]
[ROW][C]206[/C][C]43[/C][C]54.5178[/C][C]-11.5178[/C][/ROW]
[ROW][C]207[/C][C]55[/C][C]56.2986[/C][C]-1.29862[/C][/ROW]
[ROW][C]208[/C][C]38[/C][C]43.6637[/C][C]-5.66373[/C][/ROW]
[ROW][C]209[/C][C]45[/C][C]46.9715[/C][C]-1.97151[/C][/ROW]
[ROW][C]210[/C][C]50[/C][C]50.2644[/C][C]-0.26441[/C][/ROW]
[ROW][C]211[/C][C]54[/C][C]54.9733[/C][C]-0.973273[/C][/ROW]
[ROW][C]212[/C][C]57[/C][C]59.688[/C][C]-2.68797[/C][/ROW]
[ROW][C]213[/C][C]60[/C][C]55.6512[/C][C]4.3488[/C][/ROW]
[ROW][C]214[/C][C]55[/C][C]52.3673[/C][C]2.63272[/C][/ROW]
[ROW][C]215[/C][C]56[/C][C]57.6659[/C][C]-1.66586[/C][/ROW]
[ROW][C]216[/C][C]49[/C][C]44.55[/C][C]4.45[/C][/ROW]
[ROW][C]217[/C][C]37[/C][C]50.4291[/C][C]-13.4291[/C][/ROW]
[ROW][C]218[/C][C]59[/C][C]59.6866[/C][C]-0.686557[/C][/ROW]
[ROW][C]219[/C][C]46[/C][C]55.5857[/C][C]-9.58575[/C][/ROW]
[ROW][C]220[/C][C]51[/C][C]54.223[/C][C]-3.22303[/C][/ROW]
[ROW][C]221[/C][C]58[/C][C]59.237[/C][C]-1.23696[/C][/ROW]
[ROW][C]222[/C][C]64[/C][C]60.0824[/C][C]3.91756[/C][/ROW]
[ROW][C]223[/C][C]53[/C][C]53.151[/C][C]-0.15096[/C][/ROW]
[ROW][C]224[/C][C]48[/C][C]53.585[/C][C]-5.58504[/C][/ROW]
[ROW][C]225[/C][C]51[/C][C]57.1696[/C][C]-6.16955[/C][/ROW]
[ROW][C]226[/C][C]47[/C][C]48.5399[/C][C]-1.53986[/C][/ROW]
[ROW][C]227[/C][C]59[/C][C]52.9502[/C][C]6.04984[/C][/ROW]
[ROW][C]228[/C][C]62[/C][C]56.0253[/C][C]5.97465[/C][/ROW]
[ROW][C]229[/C][C]62[/C][C]61.2179[/C][C]0.782091[/C][/ROW]
[ROW][C]230[/C][C]51[/C][C]54.7061[/C][C]-3.70614[/C][/ROW]
[ROW][C]231[/C][C]64[/C][C]50.9727[/C][C]13.0273[/C][/ROW]
[ROW][C]232[/C][C]52[/C][C]51.7253[/C][C]0.274719[/C][/ROW]
[ROW][C]233[/C][C]67[/C][C]61.8135[/C][C]5.18653[/C][/ROW]
[ROW][C]234[/C][C]50[/C][C]58.6976[/C][C]-8.69762[/C][/ROW]
[ROW][C]235[/C][C]54[/C][C]54.8131[/C][C]-0.81313[/C][/ROW]
[ROW][C]236[/C][C]58[/C][C]51.9548[/C][C]6.04521[/C][/ROW]
[ROW][C]237[/C][C]56[/C][C]51.1797[/C][C]4.82026[/C][/ROW]
[ROW][C]238[/C][C]63[/C][C]55.5327[/C][C]7.46733[/C][/ROW]
[ROW][C]239[/C][C]31[/C][C]34.6953[/C][C]-3.69529[/C][/ROW]
[ROW][C]240[/C][C]65[/C][C]56.812[/C][C]8.18797[/C][/ROW]
[ROW][C]241[/C][C]71[/C][C]56.5764[/C][C]14.4236[/C][/ROW]
[ROW][C]242[/C][C]50[/C][C]61.7636[/C][C]-11.7636[/C][/ROW]
[ROW][C]243[/C][C]57[/C][C]53.484[/C][C]3.51596[/C][/ROW]
[ROW][C]244[/C][C]47[/C][C]47.7091[/C][C]-0.709141[/C][/ROW]
[ROW][C]245[/C][C]47[/C][C]48.1141[/C][C]-1.11413[/C][/ROW]
[ROW][C]246[/C][C]57[/C][C]58.8341[/C][C]-1.83407[/C][/ROW]
[ROW][C]247[/C][C]43[/C][C]53.4226[/C][C]-10.4226[/C][/ROW]
[ROW][C]248[/C][C]41[/C][C]49.6443[/C][C]-8.64429[/C][/ROW]
[ROW][C]249[/C][C]63[/C][C]54.4766[/C][C]8.5234[/C][/ROW]
[ROW][C]250[/C][C]63[/C][C]54.8219[/C][C]8.17814[/C][/ROW]
[ROW][C]251[/C][C]56[/C][C]58.1616[/C][C]-2.16161[/C][/ROW]
[ROW][C]252[/C][C]51[/C][C]53.5262[/C][C]-2.52619[/C][/ROW]
[ROW][C]253[/C][C]50[/C][C]55.2212[/C][C]-5.22119[/C][/ROW]
[ROW][C]254[/C][C]22[/C][C]51.1761[/C][C]-29.1761[/C][/ROW]
[ROW][C]255[/C][C]41[/C][C]53.2677[/C][C]-12.2677[/C][/ROW]
[ROW][C]256[/C][C]59[/C][C]54.8555[/C][C]4.14454[/C][/ROW]
[ROW][C]257[/C][C]56[/C][C]58.3382[/C][C]-2.33823[/C][/ROW]
[ROW][C]258[/C][C]66[/C][C]60.3642[/C][C]5.63576[/C][/ROW]
[ROW][C]259[/C][C]53[/C][C]51.8477[/C][C]1.15231[/C][/ROW]
[ROW][C]260[/C][C]42[/C][C]48.6336[/C][C]-6.63362[/C][/ROW]
[ROW][C]261[/C][C]52[/C][C]45.4594[/C][C]6.54058[/C][/ROW]
[ROW][C]262[/C][C]54[/C][C]54.9362[/C][C]-0.936218[/C][/ROW]
[ROW][C]263[/C][C]44[/C][C]46.6126[/C][C]-2.61261[/C][/ROW]
[ROW][C]264[/C][C]62[/C][C]53.484[/C][C]8.51596[/C][/ROW]
[ROW][C]265[/C][C]53[/C][C]53.2957[/C][C]-0.295666[/C][/ROW]
[ROW][C]266[/C][C]50[/C][C]48.6313[/C][C]1.36872[/C][/ROW]
[ROW][C]267[/C][C]36[/C][C]45.4804[/C][C]-9.48038[/C][/ROW]
[ROW][C]268[/C][C]76[/C][C]59.3188[/C][C]16.6812[/C][/ROW]
[ROW][C]269[/C][C]66[/C][C]56.4204[/C][C]9.57957[/C][/ROW]
[ROW][C]270[/C][C]62[/C][C]57.4386[/C][C]4.56142[/C][/ROW]
[ROW][C]271[/C][C]59[/C][C]55.8582[/C][C]3.14183[/C][/ROW]
[ROW][C]272[/C][C]47[/C][C]61.9254[/C][C]-14.9254[/C][/ROW]
[ROW][C]273[/C][C]55[/C][C]51.6854[/C][C]3.31462[/C][/ROW]
[ROW][C]274[/C][C]58[/C][C]56.9379[/C][C]1.06213[/C][/ROW]
[ROW][C]275[/C][C]60[/C][C]53.9808[/C][C]6.01922[/C][/ROW]
[ROW][C]276[/C][C]44[/C][C]50.3844[/C][C]-6.38438[/C][/ROW]
[ROW][C]277[/C][C]57[/C][C]54.0585[/C][C]2.94154[/C][/ROW]
[ROW][C]278[/C][C]45[/C][C]46.918[/C][C]-1.91801[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270603&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270603&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
12646.0103-20.0103
25747.27629.7238
33748.7416-11.7416
46757.24749.75259
54348.5508-5.55083
65252.3204-0.320366
75257.7244-5.7244
84346.2415-3.24147
98466.758917.2411
106745.66321.337
114955.1422-6.14217
127054.058215.9418
135256.755-4.75499
145859.4615-1.46151
156853.015714.9843
166255.83986.16021
174355.5253-12.5253
185655.92920.0708488
195650.61715.38295
207458.76415.236
216559.17695.82309
226357.12915.87092
235859.8202-1.82017
245753.44793.55206
256356.28736.71267
265355.1302-2.13024
275756.41790.58214
285151.9748-0.974793
296455.48638.51374
305359.7713-6.77129
312953.6045-24.6045
325452.56421.43582
335857.72180.278207
344356.4254-13.4254
355157.1891-6.18907
365347.88935.11068
375448.73825.26177
385653.69672.30334
396150.842810.1572
404756.1378-9.13784
413947.3478-8.34781
424849.4691-1.46907
435057.1465-7.14648
443560.6822-25.6822
453052.7239-22.7239
466850.578817.4212
474950.4681-1.46815
486154.46136.53869
496751.64115.359
504751.2286-4.22856
515657.5534-1.55343
525048.92531.07467
534352.4118-9.41178
546761.04555.95449
556255.50746.49263
565756.11660.883404
574158.2033-17.2033
585451.31192.68814
594544.9410.0590176
604854.6426-6.64258
616155.38565.61443
625653.82662.17344
634152.8402-11.8402
644353.8801-10.8801
655349.92873.07135
664448.712-4.71201
676656.99939.00069
685852.50525.49482
694653.0255-7.02547
703752.5301-15.5301
715154.468-3.46804
725152.1475-1.14747
735647.60218.39787
746644.868721.1313
753751.9856-14.9856
764254.383-12.383
773848.9545-10.9545
786654.647311.3527
793451.5833-17.5833
805357.4746-4.47459
814953.0259-4.02592
825553.77951.22045
834957.0955-8.09547
845954.06064.93943
854049.8597-9.85972
865854.13113.86895
876053.37336.62671
886354.67478.32527
895652.58683.41316
905454.4433-0.443259
915249.05472.94532
923450.9452-16.9452
936958.371610.6284
943252.5673-20.5673
954849.054-1.05396
966756.923110.0769
975854.72073.27931
985752.52994.47008
994247.6977-5.69767
1006453.41210.588
1015855.26262.7374
1026658.56877.43125
1032647.8438-21.8438
1046158.56682.43317
1055251.48140.518565
1065151.332-0.332044
1075544.154210.8458
1085054.733-4.733
1096049.823110.1769
1105648.13937.86067
1116354.99478.00527
1126146.899914.1001
1135247.31164.68844
1141649.3573-33.3573
1154655.9075-9.90749
1165657.6239-1.62393
1175249.2362.76403
1185547.94717.0529
1195051.0088-1.00883
1205953.88035.11966
1216056.45953.54052
1225250.4711.52897
1234441.67732.32267
1246758.93148.0686
1255252.4539-0.453911
1265556.066-1.066
1273754.1699-17.1699
1285456.3505-2.35055
1297257.874714.1253
1305154.7785-3.77852
1314852.9057-4.90567
1326055.45054.54947
1335054.6337-4.63375
1346355.53197.46809
1353351.4607-18.4607
1366751.59415.406
1374654.3394-8.33941
1385458.6249-4.62488
1395956.25262.74744
1406148.666712.3333
1413341.3592-8.3592
1424757.3217-10.3217
1436954.394614.6054
1445259.787-7.78704
1455556.7086-1.70855
1464145.6664-4.6664
1477347.600625.3994
1485251.0980.902002
1495049.38420.615837
1505150.89810.101931
1516059.17980.820176
1525652.71543.2846
1535653.51552.48447
1542951.6277-22.6277
1556652.908513.0915
1566651.038514.9615
1577356.529316.4707
1585556.5397-1.53971
1596451.986512.0135
1604053.5255-13.5255
1614654.8714-8.87142
1625856.38821.61178
1634350.4054-7.40536
1646151.55549.4446
1655143.31337.68667
1665052.9323-2.9323
1675257.7399-5.73991
1685454.8381-0.838065
1696649.912216.0878
1706155.24195.75811
1718063.010516.9895
1725151.249-0.249015
1735654.93031.06971
1745652.19633.80367
1755653.07552.92451
1765357.2305-4.2305
1774749.8326-2.83262
1782548.9018-23.9018
1794753.8827-6.88269
1804647.4564-1.45641
1815047.17992.82006
1823945.2156-6.21565
1835156.4016-5.40163
1845856.65831.34174
1853551.6684-16.6684
1865852.90695.09313
1876052.5847.41601
1886254.43767.56244
1896352.164910.8351
1905356.0293-3.02935
1914651.3428-5.34284
1926756.550110.4499
1935948.024510.9755
1946452.40111.599
1953843.6702-5.67017
1965047.36142.63862
1974857.282-9.28199
1984849.3129-1.31292
1994749.0587-2.05871
2006653.826712.1733
2014736.521710.4783
2026346.203816.7962
2035853.8114.18899
2044456.4073-12.4073
2055156.45-5.44996
2064354.5178-11.5178
2075556.2986-1.29862
2083843.6637-5.66373
2094546.9715-1.97151
2105050.2644-0.26441
2115454.9733-0.973273
2125759.688-2.68797
2136055.65124.3488
2145552.36732.63272
2155657.6659-1.66586
2164944.554.45
2173750.4291-13.4291
2185959.6866-0.686557
2194655.5857-9.58575
2205154.223-3.22303
2215859.237-1.23696
2226460.08243.91756
2235353.151-0.15096
2244853.585-5.58504
2255157.1696-6.16955
2264748.5399-1.53986
2275952.95026.04984
2286256.02535.97465
2296261.21790.782091
2305154.7061-3.70614
2316450.972713.0273
2325251.72530.274719
2336761.81355.18653
2345058.6976-8.69762
2355454.8131-0.81313
2365851.95486.04521
2375651.17974.82026
2386355.53277.46733
2393134.6953-3.69529
2406556.8128.18797
2417156.576414.4236
2425061.7636-11.7636
2435753.4843.51596
2444747.7091-0.709141
2454748.1141-1.11413
2465758.8341-1.83407
2474353.4226-10.4226
2484149.6443-8.64429
2496354.47668.5234
2506354.82198.17814
2515658.1616-2.16161
2525153.5262-2.52619
2535055.2212-5.22119
2542251.1761-29.1761
2554153.2677-12.2677
2565954.85554.14454
2575658.3382-2.33823
2586660.36425.63576
2595351.84771.15231
2604248.6336-6.63362
2615245.45946.54058
2625454.9362-0.936218
2634446.6126-2.61261
2646253.4848.51596
2655353.2957-0.295666
2665048.63131.36872
2673645.4804-9.48038
2687659.318816.6812
2696656.42049.57957
2706257.43864.56142
2715955.85823.14183
2724761.9254-14.9254
2735551.68543.31462
2745856.93791.06213
2756053.98086.01922
2764450.3844-6.38438
2775754.05852.94154
2784546.918-1.91801






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.4421530.8843060.557847
90.4642160.9284310.535784
100.9865250.02695030.0134752
110.9767460.04650810.0232541
120.9624970.07500680.0375034
130.949920.1001610.0500803
140.9310550.1378910.0689454
150.9029870.1940250.0970126
160.9130360.1739280.0869638
170.931570.136860.0684302
180.9026720.1946560.0973278
190.8845840.2308320.115416
200.8598070.2803870.140193
210.8271880.3456250.172812
220.8082880.3834240.191712
230.7599940.4800120.240006
240.7219260.5561470.278074
250.7230030.5539940.276997
260.690720.618560.30928
270.6486830.7026330.351317
280.6177250.764550.382275
290.5979330.8041340.402067
300.6449880.7100240.355012
310.9243710.1512580.075629
320.9026680.1946650.0973324
330.8775220.2449560.122478
340.907790.1844190.0922095
350.8990070.2019850.100993
360.8827070.2345860.117293
370.8599840.2800330.140016
380.8295860.3408280.170414
390.8358820.3282370.164118
400.8296490.3407020.170351
410.8164380.3671240.183562
420.7818450.436310.218155
430.7628890.4742220.237111
440.9129570.1740860.0870431
450.9695060.0609890.0304945
460.9806130.0387730.0193865
470.9745860.05082760.0254138
480.9717580.05648390.028242
490.9753580.04928330.0246417
500.9687510.0624970.0312485
510.9601910.07961720.0398086
520.9499530.1000940.0500471
530.946730.106540.05327
540.9421060.1157870.0578937
550.9382520.1234970.0617484
560.9251040.1497910.0748957
570.9509930.09801480.0490074
580.9396270.1207460.060373
590.9275350.1449310.0724653
600.9147740.1704520.0852262
610.9077590.1844810.0922405
620.889860.2202810.11014
630.9019280.1961440.0980722
640.9077480.1845040.0922521
650.8908310.2183390.109169
660.8736690.2526620.126331
670.8667210.2665570.133279
680.8491590.3016810.150841
690.843760.3124790.15624
700.8712190.2575610.128781
710.8504180.2991630.149582
720.8263310.3473380.173669
730.8270880.3458240.172912
740.9046330.1907330.0953667
750.9367110.1265790.0632893
760.943760.1124810.0562403
770.9456070.1087860.0543928
780.9501340.09973280.0498664
790.9661980.06760330.0338016
800.9594320.08113530.0405676
810.9514440.09711180.0485559
820.9415710.1168590.0584293
830.9352630.1294740.0647372
840.9277330.1445340.0722672
850.9259470.1481060.074053
860.916850.1663010.0831505
870.9138750.1722490.0861246
880.9109150.178170.0890851
890.8976740.2046520.102326
900.8803410.2393170.119659
910.8637720.2724560.136228
920.9009590.1980820.0990412
930.9092470.1815070.0907533
940.9484830.1030340.0515169
950.9382990.1234010.0617006
960.9413340.1173330.0586664
970.9319790.1360410.0680206
980.9227290.1545410.0772705
990.9140620.1718770.0859384
1000.9167010.1665980.0832988
1010.9049020.1901960.095098
1020.9000870.1998260.0999128
1030.9483450.1033110.0516553
1040.9393970.1212070.0606035
1050.9281680.1436640.0718318
1060.9159680.1680640.0840319
1070.9229360.1541290.0770644
1080.912280.1754410.0877205
1090.9165040.1669920.0834962
1100.9126960.1746090.0873044
1110.9092620.1814760.0907378
1120.9243550.1512890.0756447
1130.9160360.1679280.0839641
1140.9897740.02045220.0102261
1150.9898520.02029630.0101481
1160.9873110.02537860.0126893
1170.9845040.03099160.0154958
1180.9836370.03272530.0163626
1190.9797920.04041560.0202078
1200.97670.0466010.0233005
1210.972360.05527910.0276395
1220.9666940.06661240.0333062
1230.9602350.07953030.0397652
1240.9592370.08152580.0407629
1250.9511080.09778320.0488916
1260.9419540.1160920.0580459
1270.961130.07773960.0388698
1280.9542180.09156360.0457818
1290.9639620.07207660.0360383
1300.9578010.08439840.0421992
1310.9516940.09661150.0483058
1320.9447620.1104760.0552381
1330.9369490.1261030.0630513
1340.9334530.1330930.0665466
1350.959290.08142010.0407101
1360.9715330.05693450.0284673
1370.9703370.05932510.0296626
1380.9663730.06725310.0336266
1390.9600940.07981140.0399057
1400.9660030.06799490.0339975
1410.964210.0715790.0357895
1420.9655490.06890110.0344506
1430.9746370.05072610.0253631
1440.9729740.05405150.0270258
1450.9672620.06547510.0327375
1460.9621270.07574670.0378733
1470.9904920.01901620.00950808
1480.9880490.02390150.0119508
1490.9850980.02980420.0149021
1500.9814770.03704550.0185227
1510.9773090.04538140.0226907
1520.9729080.05418430.0270921
1530.9674680.06506360.0325318
1540.9885610.02287750.0114388
1550.9908730.01825490.00912745
1560.9938080.01238470.00619234
1570.9964630.007073660.00353683
1580.9954320.009136620.00456831
1590.9962030.007593270.00379663
1600.9972920.005415850.00270793
1610.997270.005460880.00273044
1620.9964440.007111180.00355559
1630.9960530.007894240.00394712
1640.9960080.007983740.00399187
1650.9958030.008393170.00419658
1660.9947250.01055010.00527505
1670.9938390.01232220.00616109
1680.9921030.01579450.00789727
1690.9955010.008998620.00449931
1700.9946930.01061440.00530719
1710.9972210.005558430.00277922
1720.9963320.007335170.00366758
1730.9952360.00952860.0047643
1740.9941650.01166940.00583472
1750.9927520.01449540.0072477
1760.9911380.0177240.00886201
1770.9888830.02223410.011117
1780.9977180.004563360.00228168
1790.9974330.005134750.00256737
1800.9966110.006778810.00338941
1810.9956460.008708410.0043542
1820.9950440.009912620.00495631
1830.994120.01175950.00587977
1840.9923760.01524790.00762396
1850.9963390.007321280.00366064
1860.9955630.008874740.00443737
1870.9951480.00970430.00485215
1880.9947620.01047530.00523765
1890.9954590.009082770.00454139
1900.994160.01167910.00583953
1910.9929160.01416880.00708439
1920.9934110.01317730.00658867
1930.9943530.0112930.00564652
1940.9953560.009287510.00464376
1950.9944970.01100540.00550272
1960.9930010.01399850.00699924
1970.9932290.01354150.00677075
1980.9911510.01769810.00884906
1990.9885980.02280430.0114021
2000.9912010.01759860.00879931
2010.9932620.01347670.00673836
2020.9978620.004275840.00213792
2030.9972820.005436690.00271834
2040.9980250.003950850.00197543
2050.9977930.004414990.00220749
2060.9982840.003432290.00171615
2070.9976320.004736740.00236837
2080.996880.00623960.0031198
2090.996350.007299520.00364976
2100.9952590.00948290.00474145
2110.9935580.01288390.00644194
2120.9914150.01716940.00858468
2130.9888210.02235890.0111794
2140.9854350.02912970.0145648
2150.9813440.03731180.0186559
2160.9778980.0442050.0221025
2170.9833010.03339740.0166987
2180.9780570.04388510.0219426
2190.9790930.04181460.0209073
2200.9731390.0537210.0268605
2210.966380.06724070.0336204
2220.9575580.08488320.0424416
2230.9471010.1057990.0528994
2240.9448430.1103130.0551566
2250.939220.121560.0607802
2260.9246110.1507780.0753891
2270.9159820.1680350.0840176
2280.9037430.1925140.096257
2290.8819610.2360790.118039
2300.8616290.2767420.138371
2310.8780610.2438780.121939
2320.8517390.2965220.148261
2330.8264620.3470760.173538
2340.8273040.3453920.172696
2350.792890.414220.20711
2360.7848480.4303040.215152
2370.7487250.502550.251275
2380.7186860.5626280.281314
2390.6813040.6373910.318696
2400.6841480.6317050.315852
2410.7628570.4742850.237143
2420.8273960.3452090.172604
2430.8027060.3945870.197294
2440.7612120.4775770.238788
2450.7145480.5709040.285452
2460.6794270.6411470.320573
2470.6483680.7032640.351632
2480.6276310.7447390.372369
2490.6123140.7753720.387686
2500.5990990.8018020.400901
2510.542450.91510.45755
2520.4855790.9711580.514421
2530.4341980.8683960.565802
2540.914010.1719790.0859896
2550.9488680.1022640.0511318
2560.9284910.1430180.0715089
2570.9033180.1933650.0966823
2580.8654030.2691940.134597
2590.8245470.3509060.175453
2600.8046110.3907770.195389
2610.8705270.2589460.129473
2620.8405220.3189570.159478
2630.773810.452380.22619
2640.7623990.4752020.237601
2650.6730170.6539660.326983
2660.6364840.7270320.363516
2670.5281050.9437910.471895
2680.5628110.8743780.437189
2690.5811470.8377060.418853
2700.7374530.5250950.262547

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
8 & 0.442153 & 0.884306 & 0.557847 \tabularnewline
9 & 0.464216 & 0.928431 & 0.535784 \tabularnewline
10 & 0.986525 & 0.0269503 & 0.0134752 \tabularnewline
11 & 0.976746 & 0.0465081 & 0.0232541 \tabularnewline
12 & 0.962497 & 0.0750068 & 0.0375034 \tabularnewline
13 & 0.94992 & 0.100161 & 0.0500803 \tabularnewline
14 & 0.931055 & 0.137891 & 0.0689454 \tabularnewline
15 & 0.902987 & 0.194025 & 0.0970126 \tabularnewline
16 & 0.913036 & 0.173928 & 0.0869638 \tabularnewline
17 & 0.93157 & 0.13686 & 0.0684302 \tabularnewline
18 & 0.902672 & 0.194656 & 0.0973278 \tabularnewline
19 & 0.884584 & 0.230832 & 0.115416 \tabularnewline
20 & 0.859807 & 0.280387 & 0.140193 \tabularnewline
21 & 0.827188 & 0.345625 & 0.172812 \tabularnewline
22 & 0.808288 & 0.383424 & 0.191712 \tabularnewline
23 & 0.759994 & 0.480012 & 0.240006 \tabularnewline
24 & 0.721926 & 0.556147 & 0.278074 \tabularnewline
25 & 0.723003 & 0.553994 & 0.276997 \tabularnewline
26 & 0.69072 & 0.61856 & 0.30928 \tabularnewline
27 & 0.648683 & 0.702633 & 0.351317 \tabularnewline
28 & 0.617725 & 0.76455 & 0.382275 \tabularnewline
29 & 0.597933 & 0.804134 & 0.402067 \tabularnewline
30 & 0.644988 & 0.710024 & 0.355012 \tabularnewline
31 & 0.924371 & 0.151258 & 0.075629 \tabularnewline
32 & 0.902668 & 0.194665 & 0.0973324 \tabularnewline
33 & 0.877522 & 0.244956 & 0.122478 \tabularnewline
34 & 0.90779 & 0.184419 & 0.0922095 \tabularnewline
35 & 0.899007 & 0.201985 & 0.100993 \tabularnewline
36 & 0.882707 & 0.234586 & 0.117293 \tabularnewline
37 & 0.859984 & 0.280033 & 0.140016 \tabularnewline
38 & 0.829586 & 0.340828 & 0.170414 \tabularnewline
39 & 0.835882 & 0.328237 & 0.164118 \tabularnewline
40 & 0.829649 & 0.340702 & 0.170351 \tabularnewline
41 & 0.816438 & 0.367124 & 0.183562 \tabularnewline
42 & 0.781845 & 0.43631 & 0.218155 \tabularnewline
43 & 0.762889 & 0.474222 & 0.237111 \tabularnewline
44 & 0.912957 & 0.174086 & 0.0870431 \tabularnewline
45 & 0.969506 & 0.060989 & 0.0304945 \tabularnewline
46 & 0.980613 & 0.038773 & 0.0193865 \tabularnewline
47 & 0.974586 & 0.0508276 & 0.0254138 \tabularnewline
48 & 0.971758 & 0.0564839 & 0.028242 \tabularnewline
49 & 0.975358 & 0.0492833 & 0.0246417 \tabularnewline
50 & 0.968751 & 0.062497 & 0.0312485 \tabularnewline
51 & 0.960191 & 0.0796172 & 0.0398086 \tabularnewline
52 & 0.949953 & 0.100094 & 0.0500471 \tabularnewline
53 & 0.94673 & 0.10654 & 0.05327 \tabularnewline
54 & 0.942106 & 0.115787 & 0.0578937 \tabularnewline
55 & 0.938252 & 0.123497 & 0.0617484 \tabularnewline
56 & 0.925104 & 0.149791 & 0.0748957 \tabularnewline
57 & 0.950993 & 0.0980148 & 0.0490074 \tabularnewline
58 & 0.939627 & 0.120746 & 0.060373 \tabularnewline
59 & 0.927535 & 0.144931 & 0.0724653 \tabularnewline
60 & 0.914774 & 0.170452 & 0.0852262 \tabularnewline
61 & 0.907759 & 0.184481 & 0.0922405 \tabularnewline
62 & 0.88986 & 0.220281 & 0.11014 \tabularnewline
63 & 0.901928 & 0.196144 & 0.0980722 \tabularnewline
64 & 0.907748 & 0.184504 & 0.0922521 \tabularnewline
65 & 0.890831 & 0.218339 & 0.109169 \tabularnewline
66 & 0.873669 & 0.252662 & 0.126331 \tabularnewline
67 & 0.866721 & 0.266557 & 0.133279 \tabularnewline
68 & 0.849159 & 0.301681 & 0.150841 \tabularnewline
69 & 0.84376 & 0.312479 & 0.15624 \tabularnewline
70 & 0.871219 & 0.257561 & 0.128781 \tabularnewline
71 & 0.850418 & 0.299163 & 0.149582 \tabularnewline
72 & 0.826331 & 0.347338 & 0.173669 \tabularnewline
73 & 0.827088 & 0.345824 & 0.172912 \tabularnewline
74 & 0.904633 & 0.190733 & 0.0953667 \tabularnewline
75 & 0.936711 & 0.126579 & 0.0632893 \tabularnewline
76 & 0.94376 & 0.112481 & 0.0562403 \tabularnewline
77 & 0.945607 & 0.108786 & 0.0543928 \tabularnewline
78 & 0.950134 & 0.0997328 & 0.0498664 \tabularnewline
79 & 0.966198 & 0.0676033 & 0.0338016 \tabularnewline
80 & 0.959432 & 0.0811353 & 0.0405676 \tabularnewline
81 & 0.951444 & 0.0971118 & 0.0485559 \tabularnewline
82 & 0.941571 & 0.116859 & 0.0584293 \tabularnewline
83 & 0.935263 & 0.129474 & 0.0647372 \tabularnewline
84 & 0.927733 & 0.144534 & 0.0722672 \tabularnewline
85 & 0.925947 & 0.148106 & 0.074053 \tabularnewline
86 & 0.91685 & 0.166301 & 0.0831505 \tabularnewline
87 & 0.913875 & 0.172249 & 0.0861246 \tabularnewline
88 & 0.910915 & 0.17817 & 0.0890851 \tabularnewline
89 & 0.897674 & 0.204652 & 0.102326 \tabularnewline
90 & 0.880341 & 0.239317 & 0.119659 \tabularnewline
91 & 0.863772 & 0.272456 & 0.136228 \tabularnewline
92 & 0.900959 & 0.198082 & 0.0990412 \tabularnewline
93 & 0.909247 & 0.181507 & 0.0907533 \tabularnewline
94 & 0.948483 & 0.103034 & 0.0515169 \tabularnewline
95 & 0.938299 & 0.123401 & 0.0617006 \tabularnewline
96 & 0.941334 & 0.117333 & 0.0586664 \tabularnewline
97 & 0.931979 & 0.136041 & 0.0680206 \tabularnewline
98 & 0.922729 & 0.154541 & 0.0772705 \tabularnewline
99 & 0.914062 & 0.171877 & 0.0859384 \tabularnewline
100 & 0.916701 & 0.166598 & 0.0832988 \tabularnewline
101 & 0.904902 & 0.190196 & 0.095098 \tabularnewline
102 & 0.900087 & 0.199826 & 0.0999128 \tabularnewline
103 & 0.948345 & 0.103311 & 0.0516553 \tabularnewline
104 & 0.939397 & 0.121207 & 0.0606035 \tabularnewline
105 & 0.928168 & 0.143664 & 0.0718318 \tabularnewline
106 & 0.915968 & 0.168064 & 0.0840319 \tabularnewline
107 & 0.922936 & 0.154129 & 0.0770644 \tabularnewline
108 & 0.91228 & 0.175441 & 0.0877205 \tabularnewline
109 & 0.916504 & 0.166992 & 0.0834962 \tabularnewline
110 & 0.912696 & 0.174609 & 0.0873044 \tabularnewline
111 & 0.909262 & 0.181476 & 0.0907378 \tabularnewline
112 & 0.924355 & 0.151289 & 0.0756447 \tabularnewline
113 & 0.916036 & 0.167928 & 0.0839641 \tabularnewline
114 & 0.989774 & 0.0204522 & 0.0102261 \tabularnewline
115 & 0.989852 & 0.0202963 & 0.0101481 \tabularnewline
116 & 0.987311 & 0.0253786 & 0.0126893 \tabularnewline
117 & 0.984504 & 0.0309916 & 0.0154958 \tabularnewline
118 & 0.983637 & 0.0327253 & 0.0163626 \tabularnewline
119 & 0.979792 & 0.0404156 & 0.0202078 \tabularnewline
120 & 0.9767 & 0.046601 & 0.0233005 \tabularnewline
121 & 0.97236 & 0.0552791 & 0.0276395 \tabularnewline
122 & 0.966694 & 0.0666124 & 0.0333062 \tabularnewline
123 & 0.960235 & 0.0795303 & 0.0397652 \tabularnewline
124 & 0.959237 & 0.0815258 & 0.0407629 \tabularnewline
125 & 0.951108 & 0.0977832 & 0.0488916 \tabularnewline
126 & 0.941954 & 0.116092 & 0.0580459 \tabularnewline
127 & 0.96113 & 0.0777396 & 0.0388698 \tabularnewline
128 & 0.954218 & 0.0915636 & 0.0457818 \tabularnewline
129 & 0.963962 & 0.0720766 & 0.0360383 \tabularnewline
130 & 0.957801 & 0.0843984 & 0.0421992 \tabularnewline
131 & 0.951694 & 0.0966115 & 0.0483058 \tabularnewline
132 & 0.944762 & 0.110476 & 0.0552381 \tabularnewline
133 & 0.936949 & 0.126103 & 0.0630513 \tabularnewline
134 & 0.933453 & 0.133093 & 0.0665466 \tabularnewline
135 & 0.95929 & 0.0814201 & 0.0407101 \tabularnewline
136 & 0.971533 & 0.0569345 & 0.0284673 \tabularnewline
137 & 0.970337 & 0.0593251 & 0.0296626 \tabularnewline
138 & 0.966373 & 0.0672531 & 0.0336266 \tabularnewline
139 & 0.960094 & 0.0798114 & 0.0399057 \tabularnewline
140 & 0.966003 & 0.0679949 & 0.0339975 \tabularnewline
141 & 0.96421 & 0.071579 & 0.0357895 \tabularnewline
142 & 0.965549 & 0.0689011 & 0.0344506 \tabularnewline
143 & 0.974637 & 0.0507261 & 0.0253631 \tabularnewline
144 & 0.972974 & 0.0540515 & 0.0270258 \tabularnewline
145 & 0.967262 & 0.0654751 & 0.0327375 \tabularnewline
146 & 0.962127 & 0.0757467 & 0.0378733 \tabularnewline
147 & 0.990492 & 0.0190162 & 0.00950808 \tabularnewline
148 & 0.988049 & 0.0239015 & 0.0119508 \tabularnewline
149 & 0.985098 & 0.0298042 & 0.0149021 \tabularnewline
150 & 0.981477 & 0.0370455 & 0.0185227 \tabularnewline
151 & 0.977309 & 0.0453814 & 0.0226907 \tabularnewline
152 & 0.972908 & 0.0541843 & 0.0270921 \tabularnewline
153 & 0.967468 & 0.0650636 & 0.0325318 \tabularnewline
154 & 0.988561 & 0.0228775 & 0.0114388 \tabularnewline
155 & 0.990873 & 0.0182549 & 0.00912745 \tabularnewline
156 & 0.993808 & 0.0123847 & 0.00619234 \tabularnewline
157 & 0.996463 & 0.00707366 & 0.00353683 \tabularnewline
158 & 0.995432 & 0.00913662 & 0.00456831 \tabularnewline
159 & 0.996203 & 0.00759327 & 0.00379663 \tabularnewline
160 & 0.997292 & 0.00541585 & 0.00270793 \tabularnewline
161 & 0.99727 & 0.00546088 & 0.00273044 \tabularnewline
162 & 0.996444 & 0.00711118 & 0.00355559 \tabularnewline
163 & 0.996053 & 0.00789424 & 0.00394712 \tabularnewline
164 & 0.996008 & 0.00798374 & 0.00399187 \tabularnewline
165 & 0.995803 & 0.00839317 & 0.00419658 \tabularnewline
166 & 0.994725 & 0.0105501 & 0.00527505 \tabularnewline
167 & 0.993839 & 0.0123222 & 0.00616109 \tabularnewline
168 & 0.992103 & 0.0157945 & 0.00789727 \tabularnewline
169 & 0.995501 & 0.00899862 & 0.00449931 \tabularnewline
170 & 0.994693 & 0.0106144 & 0.00530719 \tabularnewline
171 & 0.997221 & 0.00555843 & 0.00277922 \tabularnewline
172 & 0.996332 & 0.00733517 & 0.00366758 \tabularnewline
173 & 0.995236 & 0.0095286 & 0.0047643 \tabularnewline
174 & 0.994165 & 0.0116694 & 0.00583472 \tabularnewline
175 & 0.992752 & 0.0144954 & 0.0072477 \tabularnewline
176 & 0.991138 & 0.017724 & 0.00886201 \tabularnewline
177 & 0.988883 & 0.0222341 & 0.011117 \tabularnewline
178 & 0.997718 & 0.00456336 & 0.00228168 \tabularnewline
179 & 0.997433 & 0.00513475 & 0.00256737 \tabularnewline
180 & 0.996611 & 0.00677881 & 0.00338941 \tabularnewline
181 & 0.995646 & 0.00870841 & 0.0043542 \tabularnewline
182 & 0.995044 & 0.00991262 & 0.00495631 \tabularnewline
183 & 0.99412 & 0.0117595 & 0.00587977 \tabularnewline
184 & 0.992376 & 0.0152479 & 0.00762396 \tabularnewline
185 & 0.996339 & 0.00732128 & 0.00366064 \tabularnewline
186 & 0.995563 & 0.00887474 & 0.00443737 \tabularnewline
187 & 0.995148 & 0.0097043 & 0.00485215 \tabularnewline
188 & 0.994762 & 0.0104753 & 0.00523765 \tabularnewline
189 & 0.995459 & 0.00908277 & 0.00454139 \tabularnewline
190 & 0.99416 & 0.0116791 & 0.00583953 \tabularnewline
191 & 0.992916 & 0.0141688 & 0.00708439 \tabularnewline
192 & 0.993411 & 0.0131773 & 0.00658867 \tabularnewline
193 & 0.994353 & 0.011293 & 0.00564652 \tabularnewline
194 & 0.995356 & 0.00928751 & 0.00464376 \tabularnewline
195 & 0.994497 & 0.0110054 & 0.00550272 \tabularnewline
196 & 0.993001 & 0.0139985 & 0.00699924 \tabularnewline
197 & 0.993229 & 0.0135415 & 0.00677075 \tabularnewline
198 & 0.991151 & 0.0176981 & 0.00884906 \tabularnewline
199 & 0.988598 & 0.0228043 & 0.0114021 \tabularnewline
200 & 0.991201 & 0.0175986 & 0.00879931 \tabularnewline
201 & 0.993262 & 0.0134767 & 0.00673836 \tabularnewline
202 & 0.997862 & 0.00427584 & 0.00213792 \tabularnewline
203 & 0.997282 & 0.00543669 & 0.00271834 \tabularnewline
204 & 0.998025 & 0.00395085 & 0.00197543 \tabularnewline
205 & 0.997793 & 0.00441499 & 0.00220749 \tabularnewline
206 & 0.998284 & 0.00343229 & 0.00171615 \tabularnewline
207 & 0.997632 & 0.00473674 & 0.00236837 \tabularnewline
208 & 0.99688 & 0.0062396 & 0.0031198 \tabularnewline
209 & 0.99635 & 0.00729952 & 0.00364976 \tabularnewline
210 & 0.995259 & 0.0094829 & 0.00474145 \tabularnewline
211 & 0.993558 & 0.0128839 & 0.00644194 \tabularnewline
212 & 0.991415 & 0.0171694 & 0.00858468 \tabularnewline
213 & 0.988821 & 0.0223589 & 0.0111794 \tabularnewline
214 & 0.985435 & 0.0291297 & 0.0145648 \tabularnewline
215 & 0.981344 & 0.0373118 & 0.0186559 \tabularnewline
216 & 0.977898 & 0.044205 & 0.0221025 \tabularnewline
217 & 0.983301 & 0.0333974 & 0.0166987 \tabularnewline
218 & 0.978057 & 0.0438851 & 0.0219426 \tabularnewline
219 & 0.979093 & 0.0418146 & 0.0209073 \tabularnewline
220 & 0.973139 & 0.053721 & 0.0268605 \tabularnewline
221 & 0.96638 & 0.0672407 & 0.0336204 \tabularnewline
222 & 0.957558 & 0.0848832 & 0.0424416 \tabularnewline
223 & 0.947101 & 0.105799 & 0.0528994 \tabularnewline
224 & 0.944843 & 0.110313 & 0.0551566 \tabularnewline
225 & 0.93922 & 0.12156 & 0.0607802 \tabularnewline
226 & 0.924611 & 0.150778 & 0.0753891 \tabularnewline
227 & 0.915982 & 0.168035 & 0.0840176 \tabularnewline
228 & 0.903743 & 0.192514 & 0.096257 \tabularnewline
229 & 0.881961 & 0.236079 & 0.118039 \tabularnewline
230 & 0.861629 & 0.276742 & 0.138371 \tabularnewline
231 & 0.878061 & 0.243878 & 0.121939 \tabularnewline
232 & 0.851739 & 0.296522 & 0.148261 \tabularnewline
233 & 0.826462 & 0.347076 & 0.173538 \tabularnewline
234 & 0.827304 & 0.345392 & 0.172696 \tabularnewline
235 & 0.79289 & 0.41422 & 0.20711 \tabularnewline
236 & 0.784848 & 0.430304 & 0.215152 \tabularnewline
237 & 0.748725 & 0.50255 & 0.251275 \tabularnewline
238 & 0.718686 & 0.562628 & 0.281314 \tabularnewline
239 & 0.681304 & 0.637391 & 0.318696 \tabularnewline
240 & 0.684148 & 0.631705 & 0.315852 \tabularnewline
241 & 0.762857 & 0.474285 & 0.237143 \tabularnewline
242 & 0.827396 & 0.345209 & 0.172604 \tabularnewline
243 & 0.802706 & 0.394587 & 0.197294 \tabularnewline
244 & 0.761212 & 0.477577 & 0.238788 \tabularnewline
245 & 0.714548 & 0.570904 & 0.285452 \tabularnewline
246 & 0.679427 & 0.641147 & 0.320573 \tabularnewline
247 & 0.648368 & 0.703264 & 0.351632 \tabularnewline
248 & 0.627631 & 0.744739 & 0.372369 \tabularnewline
249 & 0.612314 & 0.775372 & 0.387686 \tabularnewline
250 & 0.599099 & 0.801802 & 0.400901 \tabularnewline
251 & 0.54245 & 0.9151 & 0.45755 \tabularnewline
252 & 0.485579 & 0.971158 & 0.514421 \tabularnewline
253 & 0.434198 & 0.868396 & 0.565802 \tabularnewline
254 & 0.91401 & 0.171979 & 0.0859896 \tabularnewline
255 & 0.948868 & 0.102264 & 0.0511318 \tabularnewline
256 & 0.928491 & 0.143018 & 0.0715089 \tabularnewline
257 & 0.903318 & 0.193365 & 0.0966823 \tabularnewline
258 & 0.865403 & 0.269194 & 0.134597 \tabularnewline
259 & 0.824547 & 0.350906 & 0.175453 \tabularnewline
260 & 0.804611 & 0.390777 & 0.195389 \tabularnewline
261 & 0.870527 & 0.258946 & 0.129473 \tabularnewline
262 & 0.840522 & 0.318957 & 0.159478 \tabularnewline
263 & 0.77381 & 0.45238 & 0.22619 \tabularnewline
264 & 0.762399 & 0.475202 & 0.237601 \tabularnewline
265 & 0.673017 & 0.653966 & 0.326983 \tabularnewline
266 & 0.636484 & 0.727032 & 0.363516 \tabularnewline
267 & 0.528105 & 0.943791 & 0.471895 \tabularnewline
268 & 0.562811 & 0.874378 & 0.437189 \tabularnewline
269 & 0.581147 & 0.837706 & 0.418853 \tabularnewline
270 & 0.737453 & 0.525095 & 0.262547 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270603&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]8[/C][C]0.442153[/C][C]0.884306[/C][C]0.557847[/C][/ROW]
[ROW][C]9[/C][C]0.464216[/C][C]0.928431[/C][C]0.535784[/C][/ROW]
[ROW][C]10[/C][C]0.986525[/C][C]0.0269503[/C][C]0.0134752[/C][/ROW]
[ROW][C]11[/C][C]0.976746[/C][C]0.0465081[/C][C]0.0232541[/C][/ROW]
[ROW][C]12[/C][C]0.962497[/C][C]0.0750068[/C][C]0.0375034[/C][/ROW]
[ROW][C]13[/C][C]0.94992[/C][C]0.100161[/C][C]0.0500803[/C][/ROW]
[ROW][C]14[/C][C]0.931055[/C][C]0.137891[/C][C]0.0689454[/C][/ROW]
[ROW][C]15[/C][C]0.902987[/C][C]0.194025[/C][C]0.0970126[/C][/ROW]
[ROW][C]16[/C][C]0.913036[/C][C]0.173928[/C][C]0.0869638[/C][/ROW]
[ROW][C]17[/C][C]0.93157[/C][C]0.13686[/C][C]0.0684302[/C][/ROW]
[ROW][C]18[/C][C]0.902672[/C][C]0.194656[/C][C]0.0973278[/C][/ROW]
[ROW][C]19[/C][C]0.884584[/C][C]0.230832[/C][C]0.115416[/C][/ROW]
[ROW][C]20[/C][C]0.859807[/C][C]0.280387[/C][C]0.140193[/C][/ROW]
[ROW][C]21[/C][C]0.827188[/C][C]0.345625[/C][C]0.172812[/C][/ROW]
[ROW][C]22[/C][C]0.808288[/C][C]0.383424[/C][C]0.191712[/C][/ROW]
[ROW][C]23[/C][C]0.759994[/C][C]0.480012[/C][C]0.240006[/C][/ROW]
[ROW][C]24[/C][C]0.721926[/C][C]0.556147[/C][C]0.278074[/C][/ROW]
[ROW][C]25[/C][C]0.723003[/C][C]0.553994[/C][C]0.276997[/C][/ROW]
[ROW][C]26[/C][C]0.69072[/C][C]0.61856[/C][C]0.30928[/C][/ROW]
[ROW][C]27[/C][C]0.648683[/C][C]0.702633[/C][C]0.351317[/C][/ROW]
[ROW][C]28[/C][C]0.617725[/C][C]0.76455[/C][C]0.382275[/C][/ROW]
[ROW][C]29[/C][C]0.597933[/C][C]0.804134[/C][C]0.402067[/C][/ROW]
[ROW][C]30[/C][C]0.644988[/C][C]0.710024[/C][C]0.355012[/C][/ROW]
[ROW][C]31[/C][C]0.924371[/C][C]0.151258[/C][C]0.075629[/C][/ROW]
[ROW][C]32[/C][C]0.902668[/C][C]0.194665[/C][C]0.0973324[/C][/ROW]
[ROW][C]33[/C][C]0.877522[/C][C]0.244956[/C][C]0.122478[/C][/ROW]
[ROW][C]34[/C][C]0.90779[/C][C]0.184419[/C][C]0.0922095[/C][/ROW]
[ROW][C]35[/C][C]0.899007[/C][C]0.201985[/C][C]0.100993[/C][/ROW]
[ROW][C]36[/C][C]0.882707[/C][C]0.234586[/C][C]0.117293[/C][/ROW]
[ROW][C]37[/C][C]0.859984[/C][C]0.280033[/C][C]0.140016[/C][/ROW]
[ROW][C]38[/C][C]0.829586[/C][C]0.340828[/C][C]0.170414[/C][/ROW]
[ROW][C]39[/C][C]0.835882[/C][C]0.328237[/C][C]0.164118[/C][/ROW]
[ROW][C]40[/C][C]0.829649[/C][C]0.340702[/C][C]0.170351[/C][/ROW]
[ROW][C]41[/C][C]0.816438[/C][C]0.367124[/C][C]0.183562[/C][/ROW]
[ROW][C]42[/C][C]0.781845[/C][C]0.43631[/C][C]0.218155[/C][/ROW]
[ROW][C]43[/C][C]0.762889[/C][C]0.474222[/C][C]0.237111[/C][/ROW]
[ROW][C]44[/C][C]0.912957[/C][C]0.174086[/C][C]0.0870431[/C][/ROW]
[ROW][C]45[/C][C]0.969506[/C][C]0.060989[/C][C]0.0304945[/C][/ROW]
[ROW][C]46[/C][C]0.980613[/C][C]0.038773[/C][C]0.0193865[/C][/ROW]
[ROW][C]47[/C][C]0.974586[/C][C]0.0508276[/C][C]0.0254138[/C][/ROW]
[ROW][C]48[/C][C]0.971758[/C][C]0.0564839[/C][C]0.028242[/C][/ROW]
[ROW][C]49[/C][C]0.975358[/C][C]0.0492833[/C][C]0.0246417[/C][/ROW]
[ROW][C]50[/C][C]0.968751[/C][C]0.062497[/C][C]0.0312485[/C][/ROW]
[ROW][C]51[/C][C]0.960191[/C][C]0.0796172[/C][C]0.0398086[/C][/ROW]
[ROW][C]52[/C][C]0.949953[/C][C]0.100094[/C][C]0.0500471[/C][/ROW]
[ROW][C]53[/C][C]0.94673[/C][C]0.10654[/C][C]0.05327[/C][/ROW]
[ROW][C]54[/C][C]0.942106[/C][C]0.115787[/C][C]0.0578937[/C][/ROW]
[ROW][C]55[/C][C]0.938252[/C][C]0.123497[/C][C]0.0617484[/C][/ROW]
[ROW][C]56[/C][C]0.925104[/C][C]0.149791[/C][C]0.0748957[/C][/ROW]
[ROW][C]57[/C][C]0.950993[/C][C]0.0980148[/C][C]0.0490074[/C][/ROW]
[ROW][C]58[/C][C]0.939627[/C][C]0.120746[/C][C]0.060373[/C][/ROW]
[ROW][C]59[/C][C]0.927535[/C][C]0.144931[/C][C]0.0724653[/C][/ROW]
[ROW][C]60[/C][C]0.914774[/C][C]0.170452[/C][C]0.0852262[/C][/ROW]
[ROW][C]61[/C][C]0.907759[/C][C]0.184481[/C][C]0.0922405[/C][/ROW]
[ROW][C]62[/C][C]0.88986[/C][C]0.220281[/C][C]0.11014[/C][/ROW]
[ROW][C]63[/C][C]0.901928[/C][C]0.196144[/C][C]0.0980722[/C][/ROW]
[ROW][C]64[/C][C]0.907748[/C][C]0.184504[/C][C]0.0922521[/C][/ROW]
[ROW][C]65[/C][C]0.890831[/C][C]0.218339[/C][C]0.109169[/C][/ROW]
[ROW][C]66[/C][C]0.873669[/C][C]0.252662[/C][C]0.126331[/C][/ROW]
[ROW][C]67[/C][C]0.866721[/C][C]0.266557[/C][C]0.133279[/C][/ROW]
[ROW][C]68[/C][C]0.849159[/C][C]0.301681[/C][C]0.150841[/C][/ROW]
[ROW][C]69[/C][C]0.84376[/C][C]0.312479[/C][C]0.15624[/C][/ROW]
[ROW][C]70[/C][C]0.871219[/C][C]0.257561[/C][C]0.128781[/C][/ROW]
[ROW][C]71[/C][C]0.850418[/C][C]0.299163[/C][C]0.149582[/C][/ROW]
[ROW][C]72[/C][C]0.826331[/C][C]0.347338[/C][C]0.173669[/C][/ROW]
[ROW][C]73[/C][C]0.827088[/C][C]0.345824[/C][C]0.172912[/C][/ROW]
[ROW][C]74[/C][C]0.904633[/C][C]0.190733[/C][C]0.0953667[/C][/ROW]
[ROW][C]75[/C][C]0.936711[/C][C]0.126579[/C][C]0.0632893[/C][/ROW]
[ROW][C]76[/C][C]0.94376[/C][C]0.112481[/C][C]0.0562403[/C][/ROW]
[ROW][C]77[/C][C]0.945607[/C][C]0.108786[/C][C]0.0543928[/C][/ROW]
[ROW][C]78[/C][C]0.950134[/C][C]0.0997328[/C][C]0.0498664[/C][/ROW]
[ROW][C]79[/C][C]0.966198[/C][C]0.0676033[/C][C]0.0338016[/C][/ROW]
[ROW][C]80[/C][C]0.959432[/C][C]0.0811353[/C][C]0.0405676[/C][/ROW]
[ROW][C]81[/C][C]0.951444[/C][C]0.0971118[/C][C]0.0485559[/C][/ROW]
[ROW][C]82[/C][C]0.941571[/C][C]0.116859[/C][C]0.0584293[/C][/ROW]
[ROW][C]83[/C][C]0.935263[/C][C]0.129474[/C][C]0.0647372[/C][/ROW]
[ROW][C]84[/C][C]0.927733[/C][C]0.144534[/C][C]0.0722672[/C][/ROW]
[ROW][C]85[/C][C]0.925947[/C][C]0.148106[/C][C]0.074053[/C][/ROW]
[ROW][C]86[/C][C]0.91685[/C][C]0.166301[/C][C]0.0831505[/C][/ROW]
[ROW][C]87[/C][C]0.913875[/C][C]0.172249[/C][C]0.0861246[/C][/ROW]
[ROW][C]88[/C][C]0.910915[/C][C]0.17817[/C][C]0.0890851[/C][/ROW]
[ROW][C]89[/C][C]0.897674[/C][C]0.204652[/C][C]0.102326[/C][/ROW]
[ROW][C]90[/C][C]0.880341[/C][C]0.239317[/C][C]0.119659[/C][/ROW]
[ROW][C]91[/C][C]0.863772[/C][C]0.272456[/C][C]0.136228[/C][/ROW]
[ROW][C]92[/C][C]0.900959[/C][C]0.198082[/C][C]0.0990412[/C][/ROW]
[ROW][C]93[/C][C]0.909247[/C][C]0.181507[/C][C]0.0907533[/C][/ROW]
[ROW][C]94[/C][C]0.948483[/C][C]0.103034[/C][C]0.0515169[/C][/ROW]
[ROW][C]95[/C][C]0.938299[/C][C]0.123401[/C][C]0.0617006[/C][/ROW]
[ROW][C]96[/C][C]0.941334[/C][C]0.117333[/C][C]0.0586664[/C][/ROW]
[ROW][C]97[/C][C]0.931979[/C][C]0.136041[/C][C]0.0680206[/C][/ROW]
[ROW][C]98[/C][C]0.922729[/C][C]0.154541[/C][C]0.0772705[/C][/ROW]
[ROW][C]99[/C][C]0.914062[/C][C]0.171877[/C][C]0.0859384[/C][/ROW]
[ROW][C]100[/C][C]0.916701[/C][C]0.166598[/C][C]0.0832988[/C][/ROW]
[ROW][C]101[/C][C]0.904902[/C][C]0.190196[/C][C]0.095098[/C][/ROW]
[ROW][C]102[/C][C]0.900087[/C][C]0.199826[/C][C]0.0999128[/C][/ROW]
[ROW][C]103[/C][C]0.948345[/C][C]0.103311[/C][C]0.0516553[/C][/ROW]
[ROW][C]104[/C][C]0.939397[/C][C]0.121207[/C][C]0.0606035[/C][/ROW]
[ROW][C]105[/C][C]0.928168[/C][C]0.143664[/C][C]0.0718318[/C][/ROW]
[ROW][C]106[/C][C]0.915968[/C][C]0.168064[/C][C]0.0840319[/C][/ROW]
[ROW][C]107[/C][C]0.922936[/C][C]0.154129[/C][C]0.0770644[/C][/ROW]
[ROW][C]108[/C][C]0.91228[/C][C]0.175441[/C][C]0.0877205[/C][/ROW]
[ROW][C]109[/C][C]0.916504[/C][C]0.166992[/C][C]0.0834962[/C][/ROW]
[ROW][C]110[/C][C]0.912696[/C][C]0.174609[/C][C]0.0873044[/C][/ROW]
[ROW][C]111[/C][C]0.909262[/C][C]0.181476[/C][C]0.0907378[/C][/ROW]
[ROW][C]112[/C][C]0.924355[/C][C]0.151289[/C][C]0.0756447[/C][/ROW]
[ROW][C]113[/C][C]0.916036[/C][C]0.167928[/C][C]0.0839641[/C][/ROW]
[ROW][C]114[/C][C]0.989774[/C][C]0.0204522[/C][C]0.0102261[/C][/ROW]
[ROW][C]115[/C][C]0.989852[/C][C]0.0202963[/C][C]0.0101481[/C][/ROW]
[ROW][C]116[/C][C]0.987311[/C][C]0.0253786[/C][C]0.0126893[/C][/ROW]
[ROW][C]117[/C][C]0.984504[/C][C]0.0309916[/C][C]0.0154958[/C][/ROW]
[ROW][C]118[/C][C]0.983637[/C][C]0.0327253[/C][C]0.0163626[/C][/ROW]
[ROW][C]119[/C][C]0.979792[/C][C]0.0404156[/C][C]0.0202078[/C][/ROW]
[ROW][C]120[/C][C]0.9767[/C][C]0.046601[/C][C]0.0233005[/C][/ROW]
[ROW][C]121[/C][C]0.97236[/C][C]0.0552791[/C][C]0.0276395[/C][/ROW]
[ROW][C]122[/C][C]0.966694[/C][C]0.0666124[/C][C]0.0333062[/C][/ROW]
[ROW][C]123[/C][C]0.960235[/C][C]0.0795303[/C][C]0.0397652[/C][/ROW]
[ROW][C]124[/C][C]0.959237[/C][C]0.0815258[/C][C]0.0407629[/C][/ROW]
[ROW][C]125[/C][C]0.951108[/C][C]0.0977832[/C][C]0.0488916[/C][/ROW]
[ROW][C]126[/C][C]0.941954[/C][C]0.116092[/C][C]0.0580459[/C][/ROW]
[ROW][C]127[/C][C]0.96113[/C][C]0.0777396[/C][C]0.0388698[/C][/ROW]
[ROW][C]128[/C][C]0.954218[/C][C]0.0915636[/C][C]0.0457818[/C][/ROW]
[ROW][C]129[/C][C]0.963962[/C][C]0.0720766[/C][C]0.0360383[/C][/ROW]
[ROW][C]130[/C][C]0.957801[/C][C]0.0843984[/C][C]0.0421992[/C][/ROW]
[ROW][C]131[/C][C]0.951694[/C][C]0.0966115[/C][C]0.0483058[/C][/ROW]
[ROW][C]132[/C][C]0.944762[/C][C]0.110476[/C][C]0.0552381[/C][/ROW]
[ROW][C]133[/C][C]0.936949[/C][C]0.126103[/C][C]0.0630513[/C][/ROW]
[ROW][C]134[/C][C]0.933453[/C][C]0.133093[/C][C]0.0665466[/C][/ROW]
[ROW][C]135[/C][C]0.95929[/C][C]0.0814201[/C][C]0.0407101[/C][/ROW]
[ROW][C]136[/C][C]0.971533[/C][C]0.0569345[/C][C]0.0284673[/C][/ROW]
[ROW][C]137[/C][C]0.970337[/C][C]0.0593251[/C][C]0.0296626[/C][/ROW]
[ROW][C]138[/C][C]0.966373[/C][C]0.0672531[/C][C]0.0336266[/C][/ROW]
[ROW][C]139[/C][C]0.960094[/C][C]0.0798114[/C][C]0.0399057[/C][/ROW]
[ROW][C]140[/C][C]0.966003[/C][C]0.0679949[/C][C]0.0339975[/C][/ROW]
[ROW][C]141[/C][C]0.96421[/C][C]0.071579[/C][C]0.0357895[/C][/ROW]
[ROW][C]142[/C][C]0.965549[/C][C]0.0689011[/C][C]0.0344506[/C][/ROW]
[ROW][C]143[/C][C]0.974637[/C][C]0.0507261[/C][C]0.0253631[/C][/ROW]
[ROW][C]144[/C][C]0.972974[/C][C]0.0540515[/C][C]0.0270258[/C][/ROW]
[ROW][C]145[/C][C]0.967262[/C][C]0.0654751[/C][C]0.0327375[/C][/ROW]
[ROW][C]146[/C][C]0.962127[/C][C]0.0757467[/C][C]0.0378733[/C][/ROW]
[ROW][C]147[/C][C]0.990492[/C][C]0.0190162[/C][C]0.00950808[/C][/ROW]
[ROW][C]148[/C][C]0.988049[/C][C]0.0239015[/C][C]0.0119508[/C][/ROW]
[ROW][C]149[/C][C]0.985098[/C][C]0.0298042[/C][C]0.0149021[/C][/ROW]
[ROW][C]150[/C][C]0.981477[/C][C]0.0370455[/C][C]0.0185227[/C][/ROW]
[ROW][C]151[/C][C]0.977309[/C][C]0.0453814[/C][C]0.0226907[/C][/ROW]
[ROW][C]152[/C][C]0.972908[/C][C]0.0541843[/C][C]0.0270921[/C][/ROW]
[ROW][C]153[/C][C]0.967468[/C][C]0.0650636[/C][C]0.0325318[/C][/ROW]
[ROW][C]154[/C][C]0.988561[/C][C]0.0228775[/C][C]0.0114388[/C][/ROW]
[ROW][C]155[/C][C]0.990873[/C][C]0.0182549[/C][C]0.00912745[/C][/ROW]
[ROW][C]156[/C][C]0.993808[/C][C]0.0123847[/C][C]0.00619234[/C][/ROW]
[ROW][C]157[/C][C]0.996463[/C][C]0.00707366[/C][C]0.00353683[/C][/ROW]
[ROW][C]158[/C][C]0.995432[/C][C]0.00913662[/C][C]0.00456831[/C][/ROW]
[ROW][C]159[/C][C]0.996203[/C][C]0.00759327[/C][C]0.00379663[/C][/ROW]
[ROW][C]160[/C][C]0.997292[/C][C]0.00541585[/C][C]0.00270793[/C][/ROW]
[ROW][C]161[/C][C]0.99727[/C][C]0.00546088[/C][C]0.00273044[/C][/ROW]
[ROW][C]162[/C][C]0.996444[/C][C]0.00711118[/C][C]0.00355559[/C][/ROW]
[ROW][C]163[/C][C]0.996053[/C][C]0.00789424[/C][C]0.00394712[/C][/ROW]
[ROW][C]164[/C][C]0.996008[/C][C]0.00798374[/C][C]0.00399187[/C][/ROW]
[ROW][C]165[/C][C]0.995803[/C][C]0.00839317[/C][C]0.00419658[/C][/ROW]
[ROW][C]166[/C][C]0.994725[/C][C]0.0105501[/C][C]0.00527505[/C][/ROW]
[ROW][C]167[/C][C]0.993839[/C][C]0.0123222[/C][C]0.00616109[/C][/ROW]
[ROW][C]168[/C][C]0.992103[/C][C]0.0157945[/C][C]0.00789727[/C][/ROW]
[ROW][C]169[/C][C]0.995501[/C][C]0.00899862[/C][C]0.00449931[/C][/ROW]
[ROW][C]170[/C][C]0.994693[/C][C]0.0106144[/C][C]0.00530719[/C][/ROW]
[ROW][C]171[/C][C]0.997221[/C][C]0.00555843[/C][C]0.00277922[/C][/ROW]
[ROW][C]172[/C][C]0.996332[/C][C]0.00733517[/C][C]0.00366758[/C][/ROW]
[ROW][C]173[/C][C]0.995236[/C][C]0.0095286[/C][C]0.0047643[/C][/ROW]
[ROW][C]174[/C][C]0.994165[/C][C]0.0116694[/C][C]0.00583472[/C][/ROW]
[ROW][C]175[/C][C]0.992752[/C][C]0.0144954[/C][C]0.0072477[/C][/ROW]
[ROW][C]176[/C][C]0.991138[/C][C]0.017724[/C][C]0.00886201[/C][/ROW]
[ROW][C]177[/C][C]0.988883[/C][C]0.0222341[/C][C]0.011117[/C][/ROW]
[ROW][C]178[/C][C]0.997718[/C][C]0.00456336[/C][C]0.00228168[/C][/ROW]
[ROW][C]179[/C][C]0.997433[/C][C]0.00513475[/C][C]0.00256737[/C][/ROW]
[ROW][C]180[/C][C]0.996611[/C][C]0.00677881[/C][C]0.00338941[/C][/ROW]
[ROW][C]181[/C][C]0.995646[/C][C]0.00870841[/C][C]0.0043542[/C][/ROW]
[ROW][C]182[/C][C]0.995044[/C][C]0.00991262[/C][C]0.00495631[/C][/ROW]
[ROW][C]183[/C][C]0.99412[/C][C]0.0117595[/C][C]0.00587977[/C][/ROW]
[ROW][C]184[/C][C]0.992376[/C][C]0.0152479[/C][C]0.00762396[/C][/ROW]
[ROW][C]185[/C][C]0.996339[/C][C]0.00732128[/C][C]0.00366064[/C][/ROW]
[ROW][C]186[/C][C]0.995563[/C][C]0.00887474[/C][C]0.00443737[/C][/ROW]
[ROW][C]187[/C][C]0.995148[/C][C]0.0097043[/C][C]0.00485215[/C][/ROW]
[ROW][C]188[/C][C]0.994762[/C][C]0.0104753[/C][C]0.00523765[/C][/ROW]
[ROW][C]189[/C][C]0.995459[/C][C]0.00908277[/C][C]0.00454139[/C][/ROW]
[ROW][C]190[/C][C]0.99416[/C][C]0.0116791[/C][C]0.00583953[/C][/ROW]
[ROW][C]191[/C][C]0.992916[/C][C]0.0141688[/C][C]0.00708439[/C][/ROW]
[ROW][C]192[/C][C]0.993411[/C][C]0.0131773[/C][C]0.00658867[/C][/ROW]
[ROW][C]193[/C][C]0.994353[/C][C]0.011293[/C][C]0.00564652[/C][/ROW]
[ROW][C]194[/C][C]0.995356[/C][C]0.00928751[/C][C]0.00464376[/C][/ROW]
[ROW][C]195[/C][C]0.994497[/C][C]0.0110054[/C][C]0.00550272[/C][/ROW]
[ROW][C]196[/C][C]0.993001[/C][C]0.0139985[/C][C]0.00699924[/C][/ROW]
[ROW][C]197[/C][C]0.993229[/C][C]0.0135415[/C][C]0.00677075[/C][/ROW]
[ROW][C]198[/C][C]0.991151[/C][C]0.0176981[/C][C]0.00884906[/C][/ROW]
[ROW][C]199[/C][C]0.988598[/C][C]0.0228043[/C][C]0.0114021[/C][/ROW]
[ROW][C]200[/C][C]0.991201[/C][C]0.0175986[/C][C]0.00879931[/C][/ROW]
[ROW][C]201[/C][C]0.993262[/C][C]0.0134767[/C][C]0.00673836[/C][/ROW]
[ROW][C]202[/C][C]0.997862[/C][C]0.00427584[/C][C]0.00213792[/C][/ROW]
[ROW][C]203[/C][C]0.997282[/C][C]0.00543669[/C][C]0.00271834[/C][/ROW]
[ROW][C]204[/C][C]0.998025[/C][C]0.00395085[/C][C]0.00197543[/C][/ROW]
[ROW][C]205[/C][C]0.997793[/C][C]0.00441499[/C][C]0.00220749[/C][/ROW]
[ROW][C]206[/C][C]0.998284[/C][C]0.00343229[/C][C]0.00171615[/C][/ROW]
[ROW][C]207[/C][C]0.997632[/C][C]0.00473674[/C][C]0.00236837[/C][/ROW]
[ROW][C]208[/C][C]0.99688[/C][C]0.0062396[/C][C]0.0031198[/C][/ROW]
[ROW][C]209[/C][C]0.99635[/C][C]0.00729952[/C][C]0.00364976[/C][/ROW]
[ROW][C]210[/C][C]0.995259[/C][C]0.0094829[/C][C]0.00474145[/C][/ROW]
[ROW][C]211[/C][C]0.993558[/C][C]0.0128839[/C][C]0.00644194[/C][/ROW]
[ROW][C]212[/C][C]0.991415[/C][C]0.0171694[/C][C]0.00858468[/C][/ROW]
[ROW][C]213[/C][C]0.988821[/C][C]0.0223589[/C][C]0.0111794[/C][/ROW]
[ROW][C]214[/C][C]0.985435[/C][C]0.0291297[/C][C]0.0145648[/C][/ROW]
[ROW][C]215[/C][C]0.981344[/C][C]0.0373118[/C][C]0.0186559[/C][/ROW]
[ROW][C]216[/C][C]0.977898[/C][C]0.044205[/C][C]0.0221025[/C][/ROW]
[ROW][C]217[/C][C]0.983301[/C][C]0.0333974[/C][C]0.0166987[/C][/ROW]
[ROW][C]218[/C][C]0.978057[/C][C]0.0438851[/C][C]0.0219426[/C][/ROW]
[ROW][C]219[/C][C]0.979093[/C][C]0.0418146[/C][C]0.0209073[/C][/ROW]
[ROW][C]220[/C][C]0.973139[/C][C]0.053721[/C][C]0.0268605[/C][/ROW]
[ROW][C]221[/C][C]0.96638[/C][C]0.0672407[/C][C]0.0336204[/C][/ROW]
[ROW][C]222[/C][C]0.957558[/C][C]0.0848832[/C][C]0.0424416[/C][/ROW]
[ROW][C]223[/C][C]0.947101[/C][C]0.105799[/C][C]0.0528994[/C][/ROW]
[ROW][C]224[/C][C]0.944843[/C][C]0.110313[/C][C]0.0551566[/C][/ROW]
[ROW][C]225[/C][C]0.93922[/C][C]0.12156[/C][C]0.0607802[/C][/ROW]
[ROW][C]226[/C][C]0.924611[/C][C]0.150778[/C][C]0.0753891[/C][/ROW]
[ROW][C]227[/C][C]0.915982[/C][C]0.168035[/C][C]0.0840176[/C][/ROW]
[ROW][C]228[/C][C]0.903743[/C][C]0.192514[/C][C]0.096257[/C][/ROW]
[ROW][C]229[/C][C]0.881961[/C][C]0.236079[/C][C]0.118039[/C][/ROW]
[ROW][C]230[/C][C]0.861629[/C][C]0.276742[/C][C]0.138371[/C][/ROW]
[ROW][C]231[/C][C]0.878061[/C][C]0.243878[/C][C]0.121939[/C][/ROW]
[ROW][C]232[/C][C]0.851739[/C][C]0.296522[/C][C]0.148261[/C][/ROW]
[ROW][C]233[/C][C]0.826462[/C][C]0.347076[/C][C]0.173538[/C][/ROW]
[ROW][C]234[/C][C]0.827304[/C][C]0.345392[/C][C]0.172696[/C][/ROW]
[ROW][C]235[/C][C]0.79289[/C][C]0.41422[/C][C]0.20711[/C][/ROW]
[ROW][C]236[/C][C]0.784848[/C][C]0.430304[/C][C]0.215152[/C][/ROW]
[ROW][C]237[/C][C]0.748725[/C][C]0.50255[/C][C]0.251275[/C][/ROW]
[ROW][C]238[/C][C]0.718686[/C][C]0.562628[/C][C]0.281314[/C][/ROW]
[ROW][C]239[/C][C]0.681304[/C][C]0.637391[/C][C]0.318696[/C][/ROW]
[ROW][C]240[/C][C]0.684148[/C][C]0.631705[/C][C]0.315852[/C][/ROW]
[ROW][C]241[/C][C]0.762857[/C][C]0.474285[/C][C]0.237143[/C][/ROW]
[ROW][C]242[/C][C]0.827396[/C][C]0.345209[/C][C]0.172604[/C][/ROW]
[ROW][C]243[/C][C]0.802706[/C][C]0.394587[/C][C]0.197294[/C][/ROW]
[ROW][C]244[/C][C]0.761212[/C][C]0.477577[/C][C]0.238788[/C][/ROW]
[ROW][C]245[/C][C]0.714548[/C][C]0.570904[/C][C]0.285452[/C][/ROW]
[ROW][C]246[/C][C]0.679427[/C][C]0.641147[/C][C]0.320573[/C][/ROW]
[ROW][C]247[/C][C]0.648368[/C][C]0.703264[/C][C]0.351632[/C][/ROW]
[ROW][C]248[/C][C]0.627631[/C][C]0.744739[/C][C]0.372369[/C][/ROW]
[ROW][C]249[/C][C]0.612314[/C][C]0.775372[/C][C]0.387686[/C][/ROW]
[ROW][C]250[/C][C]0.599099[/C][C]0.801802[/C][C]0.400901[/C][/ROW]
[ROW][C]251[/C][C]0.54245[/C][C]0.9151[/C][C]0.45755[/C][/ROW]
[ROW][C]252[/C][C]0.485579[/C][C]0.971158[/C][C]0.514421[/C][/ROW]
[ROW][C]253[/C][C]0.434198[/C][C]0.868396[/C][C]0.565802[/C][/ROW]
[ROW][C]254[/C][C]0.91401[/C][C]0.171979[/C][C]0.0859896[/C][/ROW]
[ROW][C]255[/C][C]0.948868[/C][C]0.102264[/C][C]0.0511318[/C][/ROW]
[ROW][C]256[/C][C]0.928491[/C][C]0.143018[/C][C]0.0715089[/C][/ROW]
[ROW][C]257[/C][C]0.903318[/C][C]0.193365[/C][C]0.0966823[/C][/ROW]
[ROW][C]258[/C][C]0.865403[/C][C]0.269194[/C][C]0.134597[/C][/ROW]
[ROW][C]259[/C][C]0.824547[/C][C]0.350906[/C][C]0.175453[/C][/ROW]
[ROW][C]260[/C][C]0.804611[/C][C]0.390777[/C][C]0.195389[/C][/ROW]
[ROW][C]261[/C][C]0.870527[/C][C]0.258946[/C][C]0.129473[/C][/ROW]
[ROW][C]262[/C][C]0.840522[/C][C]0.318957[/C][C]0.159478[/C][/ROW]
[ROW][C]263[/C][C]0.77381[/C][C]0.45238[/C][C]0.22619[/C][/ROW]
[ROW][C]264[/C][C]0.762399[/C][C]0.475202[/C][C]0.237601[/C][/ROW]
[ROW][C]265[/C][C]0.673017[/C][C]0.653966[/C][C]0.326983[/C][/ROW]
[ROW][C]266[/C][C]0.636484[/C][C]0.727032[/C][C]0.363516[/C][/ROW]
[ROW][C]267[/C][C]0.528105[/C][C]0.943791[/C][C]0.471895[/C][/ROW]
[ROW][C]268[/C][C]0.562811[/C][C]0.874378[/C][C]0.437189[/C][/ROW]
[ROW][C]269[/C][C]0.581147[/C][C]0.837706[/C][C]0.418853[/C][/ROW]
[ROW][C]270[/C][C]0.737453[/C][C]0.525095[/C][C]0.262547[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270603&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270603&T=5

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


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.4421530.8843060.557847
90.4642160.9284310.535784
100.9865250.02695030.0134752
110.9767460.04650810.0232541
120.9624970.07500680.0375034
130.949920.1001610.0500803
140.9310550.1378910.0689454
150.9029870.1940250.0970126
160.9130360.1739280.0869638
170.931570.136860.0684302
180.9026720.1946560.0973278
190.8845840.2308320.115416
200.8598070.2803870.140193
210.8271880.3456250.172812
220.8082880.3834240.191712
230.7599940.4800120.240006
240.7219260.5561470.278074
250.7230030.5539940.276997
260.690720.618560.30928
270.6486830.7026330.351317
280.6177250.764550.382275
290.5979330.8041340.402067
300.6449880.7100240.355012
310.9243710.1512580.075629
320.9026680.1946650.0973324
330.8775220.2449560.122478
340.907790.1844190.0922095
350.8990070.2019850.100993
360.8827070.2345860.117293
370.8599840.2800330.140016
380.8295860.3408280.170414
390.8358820.3282370.164118
400.8296490.3407020.170351
410.8164380.3671240.183562
420.7818450.436310.218155
430.7628890.4742220.237111
440.9129570.1740860.0870431
450.9695060.0609890.0304945
460.9806130.0387730.0193865
470.9745860.05082760.0254138
480.9717580.05648390.028242
490.9753580.04928330.0246417
500.9687510.0624970.0312485
510.9601910.07961720.0398086
520.9499530.1000940.0500471
530.946730.106540.05327
540.9421060.1157870.0578937
550.9382520.1234970.0617484
560.9251040.1497910.0748957
570.9509930.09801480.0490074
580.9396270.1207460.060373
590.9275350.1449310.0724653
600.9147740.1704520.0852262
610.9077590.1844810.0922405
620.889860.2202810.11014
630.9019280.1961440.0980722
640.9077480.1845040.0922521
650.8908310.2183390.109169
660.8736690.2526620.126331
670.8667210.2665570.133279
680.8491590.3016810.150841
690.843760.3124790.15624
700.8712190.2575610.128781
710.8504180.2991630.149582
720.8263310.3473380.173669
730.8270880.3458240.172912
740.9046330.1907330.0953667
750.9367110.1265790.0632893
760.943760.1124810.0562403
770.9456070.1087860.0543928
780.9501340.09973280.0498664
790.9661980.06760330.0338016
800.9594320.08113530.0405676
810.9514440.09711180.0485559
820.9415710.1168590.0584293
830.9352630.1294740.0647372
840.9277330.1445340.0722672
850.9259470.1481060.074053
860.916850.1663010.0831505
870.9138750.1722490.0861246
880.9109150.178170.0890851
890.8976740.2046520.102326
900.8803410.2393170.119659
910.8637720.2724560.136228
920.9009590.1980820.0990412
930.9092470.1815070.0907533
940.9484830.1030340.0515169
950.9382990.1234010.0617006
960.9413340.1173330.0586664
970.9319790.1360410.0680206
980.9227290.1545410.0772705
990.9140620.1718770.0859384
1000.9167010.1665980.0832988
1010.9049020.1901960.095098
1020.9000870.1998260.0999128
1030.9483450.1033110.0516553
1040.9393970.1212070.0606035
1050.9281680.1436640.0718318
1060.9159680.1680640.0840319
1070.9229360.1541290.0770644
1080.912280.1754410.0877205
1090.9165040.1669920.0834962
1100.9126960.1746090.0873044
1110.9092620.1814760.0907378
1120.9243550.1512890.0756447
1130.9160360.1679280.0839641
1140.9897740.02045220.0102261
1150.9898520.02029630.0101481
1160.9873110.02537860.0126893
1170.9845040.03099160.0154958
1180.9836370.03272530.0163626
1190.9797920.04041560.0202078
1200.97670.0466010.0233005
1210.972360.05527910.0276395
1220.9666940.06661240.0333062
1230.9602350.07953030.0397652
1240.9592370.08152580.0407629
1250.9511080.09778320.0488916
1260.9419540.1160920.0580459
1270.961130.07773960.0388698
1280.9542180.09156360.0457818
1290.9639620.07207660.0360383
1300.9578010.08439840.0421992
1310.9516940.09661150.0483058
1320.9447620.1104760.0552381
1330.9369490.1261030.0630513
1340.9334530.1330930.0665466
1350.959290.08142010.0407101
1360.9715330.05693450.0284673
1370.9703370.05932510.0296626
1380.9663730.06725310.0336266
1390.9600940.07981140.0399057
1400.9660030.06799490.0339975
1410.964210.0715790.0357895
1420.9655490.06890110.0344506
1430.9746370.05072610.0253631
1440.9729740.05405150.0270258
1450.9672620.06547510.0327375
1460.9621270.07574670.0378733
1470.9904920.01901620.00950808
1480.9880490.02390150.0119508
1490.9850980.02980420.0149021
1500.9814770.03704550.0185227
1510.9773090.04538140.0226907
1520.9729080.05418430.0270921
1530.9674680.06506360.0325318
1540.9885610.02287750.0114388
1550.9908730.01825490.00912745
1560.9938080.01238470.00619234
1570.9964630.007073660.00353683
1580.9954320.009136620.00456831
1590.9962030.007593270.00379663
1600.9972920.005415850.00270793
1610.997270.005460880.00273044
1620.9964440.007111180.00355559
1630.9960530.007894240.00394712
1640.9960080.007983740.00399187
1650.9958030.008393170.00419658
1660.9947250.01055010.00527505
1670.9938390.01232220.00616109
1680.9921030.01579450.00789727
1690.9955010.008998620.00449931
1700.9946930.01061440.00530719
1710.9972210.005558430.00277922
1720.9963320.007335170.00366758
1730.9952360.00952860.0047643
1740.9941650.01166940.00583472
1750.9927520.01449540.0072477
1760.9911380.0177240.00886201
1770.9888830.02223410.011117
1780.9977180.004563360.00228168
1790.9974330.005134750.00256737
1800.9966110.006778810.00338941
1810.9956460.008708410.0043542
1820.9950440.009912620.00495631
1830.994120.01175950.00587977
1840.9923760.01524790.00762396
1850.9963390.007321280.00366064
1860.9955630.008874740.00443737
1870.9951480.00970430.00485215
1880.9947620.01047530.00523765
1890.9954590.009082770.00454139
1900.994160.01167910.00583953
1910.9929160.01416880.00708439
1920.9934110.01317730.00658867
1930.9943530.0112930.00564652
1940.9953560.009287510.00464376
1950.9944970.01100540.00550272
1960.9930010.01399850.00699924
1970.9932290.01354150.00677075
1980.9911510.01769810.00884906
1990.9885980.02280430.0114021
2000.9912010.01759860.00879931
2010.9932620.01347670.00673836
2020.9978620.004275840.00213792
2030.9972820.005436690.00271834
2040.9980250.003950850.00197543
2050.9977930.004414990.00220749
2060.9982840.003432290.00171615
2070.9976320.004736740.00236837
2080.996880.00623960.0031198
2090.996350.007299520.00364976
2100.9952590.00948290.00474145
2110.9935580.01288390.00644194
2120.9914150.01716940.00858468
2130.9888210.02235890.0111794
2140.9854350.02912970.0145648
2150.9813440.03731180.0186559
2160.9778980.0442050.0221025
2170.9833010.03339740.0166987
2180.9780570.04388510.0219426
2190.9790930.04181460.0209073
2200.9731390.0537210.0268605
2210.966380.06724070.0336204
2220.9575580.08488320.0424416
2230.9471010.1057990.0528994
2240.9448430.1103130.0551566
2250.939220.121560.0607802
2260.9246110.1507780.0753891
2270.9159820.1680350.0840176
2280.9037430.1925140.096257
2290.8819610.2360790.118039
2300.8616290.2767420.138371
2310.8780610.2438780.121939
2320.8517390.2965220.148261
2330.8264620.3470760.173538
2340.8273040.3453920.172696
2350.792890.414220.20711
2360.7848480.4303040.215152
2370.7487250.502550.251275
2380.7186860.5626280.281314
2390.6813040.6373910.318696
2400.6841480.6317050.315852
2410.7628570.4742850.237143
2420.8273960.3452090.172604
2430.8027060.3945870.197294
2440.7612120.4775770.238788
2450.7145480.5709040.285452
2460.6794270.6411470.320573
2470.6483680.7032640.351632
2480.6276310.7447390.372369
2490.6123140.7753720.387686
2500.5990990.8018020.400901
2510.542450.91510.45755
2520.4855790.9711580.514421
2530.4341980.8683960.565802
2540.914010.1719790.0859896
2550.9488680.1022640.0511318
2560.9284910.1430180.0715089
2570.9033180.1933650.0966823
2580.8654030.2691940.134597
2590.8245470.3509060.175453
2600.8046110.3907770.195389
2610.8705270.2589460.129473
2620.8405220.3189570.159478
2630.773810.452380.22619
2640.7623990.4752020.237601
2650.6730170.6539660.326983
2660.6364840.7270320.363516
2670.5281050.9437910.471895
2680.5628110.8743780.437189
2690.5811470.8377060.418853
2700.7374530.5250950.262547






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level320.121673NOK
5% type I error level820.311787NOK
10% type I error level1200.456274NOK

\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 & 32 & 0.121673 & NOK \tabularnewline
5% type I error level & 82 & 0.311787 & NOK \tabularnewline
10% type I error level & 120 & 0.456274 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270603&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]32[/C][C]0.121673[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]82[/C][C]0.311787[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]120[/C][C]0.456274[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270603&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270603&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 level320.121673NOK
5% type I error level820.311787NOK
10% type I error level1200.456274NOK


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