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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 computationSun, 14 Dec 2014 08:59:42 +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/14/t14185476901lfnsr93ums7bxo.htm/, Retrieved Thu, 16 May 2024 15:03:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=267340, Retrieved Thu, 16 May 2024 15:03:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact121

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [Multiple Regressi...] [2014-12-14 08:59:42] [56a3e0974002d1c8d48b4dd203e70051] [Current]
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Dataset

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

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'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267340&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267340&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267340&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Multiple Linear Regression - Estimated Regression Equation
LFM[t] = + 108.114 + 0.3628AMS.I[t] -0.167679AMS.E[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
LFM[t] =  +  108.114 +  0.3628AMS.I[t] -0.167679AMS.E[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267340&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]LFM[t] =  +  108.114 +  0.3628AMS.I[t] -0.167679AMS.E[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267340&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267340&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
LFM[t] = + 108.114 + 0.3628AMS.I[t] -0.167679AMS.E[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)108.11420.29975.3262.09129e-071.04565e-07
AMS.I0.36280.2478261.4640.1443560.072178
AMS.E-0.1676790.313357-0.53510.5930090.296505

\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) & 108.114 & 20.2997 & 5.326 & 2.09129e-07 & 1.04565e-07 \tabularnewline
AMS.I & 0.3628 & 0.247826 & 1.464 & 0.144356 & 0.072178 \tabularnewline
AMS.E & -0.167679 & 0.313357 & -0.5351 & 0.593009 & 0.296505 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267340&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]108.114[/C][C]20.2997[/C][C]5.326[/C][C]2.09129e-07[/C][C]1.04565e-07[/C][/ROW]
[ROW][C]AMS.I[/C][C]0.3628[/C][C]0.247826[/C][C]1.464[/C][C]0.144356[/C][C]0.072178[/C][/ROW]
[ROW][C]AMS.E[/C][C]-0.167679[/C][C]0.313357[/C][C]-0.5351[/C][C]0.593009[/C][C]0.296505[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267340&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267340&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)108.11420.29975.3262.09129e-071.04565e-07
AMS.I0.36280.2478261.4640.1443560.072178
AMS.E-0.1676790.313357-0.53510.5930090.296505






Multiple Linear Regression - Regression Statistics
Multiple R0.087949
R-squared0.00773502
Adjusted R-squared0.000518547
F-TEST (value)1.07186
F-TEST (DF numerator)2
F-TEST (DF denominator)275
p-value0.343798
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation39.824
Sum Squared Residuals436137

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.087949 \tabularnewline
R-squared & 0.00773502 \tabularnewline
Adjusted R-squared & 0.000518547 \tabularnewline
F-TEST (value) & 1.07186 \tabularnewline
F-TEST (DF numerator) & 2 \tabularnewline
F-TEST (DF denominator) & 275 \tabularnewline
p-value & 0.343798 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 39.824 \tabularnewline
Sum Squared Residuals & 436137 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267340&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.087949[/C][/ROW]
[ROW][C]R-squared[/C][C]0.00773502[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.000518547[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]1.07186[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]2[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]275[/C][/ROW]
[ROW][C]p-value[/C][C]0.343798[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]39.824[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]436137[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267340&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267340&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 R0.087949
R-squared0.00773502
Adjusted R-squared0.000518547
F-TEST (value)1.07186
F-TEST (DF numerator)2
F-TEST (DF denominator)275
p-value0.343798
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation39.824
Sum Squared Residuals436137






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1149109.16239.8375
2139118.39720.6029
3148112.48335.5175
4158120.51637.484
5128114.65913.3407
6224116.08107.92
7159114.73944.2614
8105114.995-9.99469
9159124.50434.4963
10167125.37941.6213
11165114.82450.176
12159122.6136.3895
13119113.95.09977
14176116.91559.0846
1554120.208-66.2081
1691118.534-27.5343
17163112.64750.3528
18124116.6937.30714
19137118.20218.798
20121121.379-0.378789
21153119.7933.2096
22148119.428.5999
23221117.251103.749
24188116.7271.2797
25149119.56829.4322
26244115.604128.396
27148117.39130.609
2892116.388-24.388
29150120.09829.9017
30153114.59838.4016
3194106.897-12.8973
32156117.64438.3559
33132117.08314.9169
34161112.14448.8559
35105114.711-9.71119
3697116.946-19.9459
37151115.96735.0327
38131117.69913.3011
39166120.51945.481
40157112.42244.5784
41111113.543-2.54349
42145115.63529.3651
43162114.85147.1486
44163108.06854.932
4559108.098-49.0985
46187121.54965.4505
47109115.998-6.99774
4890118.675-28.6745
49105119.678-14.6776
5083114.601-31.6014
51116115.8540.145531
5242115.69-73.6898
53148113.65334.3467
54155120.18134.8194
55125120.0434.95658
56116117.056-1.05566
57128110.41217.5875
58138116.63821.362
5949113.876-64.8758
6096114.964-18.9642
61164119.51344.4871
62162116.69345.3071
6399110.412-11.4125
64202113.48688.5144
65186117.28168.7187
6666113.681-47.6807
67183119.81863.1822
68214118.92895.0724
69188113.73674.2644
70104110.806-6.80574
71177116.72360.2767
72126115.88510.1151
7376118.37-42.3697
7499122.668-23.6684
75139108.45830.5418
76162112.11749.8833
77108112.007-4.00694
78159120.99238.0084
7974109.047-35.0466
80110115.437-5.43679
8196114.824-18.824
82116115.8270.172973
8387113.818-26.8179
8497117.614-20.6136
85127112.73314.2675
86106118.425-12.4245
8780118.815-38.8148
8874117.891-43.891
8991117.028-26.0282
90133115.46417.5358
9174116.583-42.5831
92114109.554.45033
93140121.74518.2554
9495108.824-13.8241
9598115.467-17.4673
96121120.5160.484017
97126118.2577.74314
9898117.391-19.391
9995112.62-17.6197
100110118.925-8.92455
10170117.586-47.5861
102102119.315-17.3148
10386106.144-20.1442
104130118.17211.8285
10596115.745-19.7447
106102116.053-14.0526
107100118.175-18.1745
10894114.013-20.013
10952118.815-66.8148
11098118.034-20.0343
111118119.4-1.40014
11299119.178-20.1776
11348118.428-70.4276
11450104.528-54.5284
115150113.56836.4321
116154116.86137.1395
117109117.421-8.4215
11868118.678-50.6776
119194117.03176.9687
120158118.95539.045
121159118.64740.3529
12267116.08-49.0801
123147116.19630.8041
12439119.678-80.6776
125100116.248-16.2477
126111116.665-5.66542
127138110.80627.1943
128101116.806-15.8057
129131122.338.67002
130101116.053-15.0526
131114115.467-1.46726
132165118.47946.5206
133114114.181-0.180708
134111119.232-8.23246
13575109.858-34.8576
13682122.193-40.1928
137121114.4066.5937
13832115.8-83.7996
139150117.61432.3864
140117121.693-4.69277
14171110.696-39.696
142165113.42851.5723
143154120.90633.0938
144126114.23611.7644
145149116.66532.3346
146145114.9430.0602
147120125.879-5.87869
148109116.918-7.91846
149132116.36115.6395
150172117.05954.9413
151169116.63552.365
152114118.37-4.36966
153156118.3737.6303
154172108.74263.2583
15568121.662-53.6623
15689122.165-33.1653
157167124.3742.6304
158113116.162-3.16239
159115121.775-6.77509
16078111.559-33.5588
161118114.2393.76138
16287117.586-30.5861
163173113.98959.0114
1642120.351-118.351
165162118.56843.4322
16649115.187-66.1868
167122114.7397.26137
16896116.47-20.4703
169100121.83-21.83
17082118.842-36.8422
171100124.562-24.5617
172115116.22-1.2203
173141116.86124.1395
174165118.70546.295
175165118.3746.6303
176110114.934-4.93375
177118115.9432.05715
178158106.78851.2125
179146114.60131.3986
18049113.233-64.2325
18190116.528-26.5282
182121112.5378.46258
183155115.21439.7858
184104117.083-13.0831
185147110.41636.5845
186110118.76-8.7599
187108118.982-10.9825
188113119.037-6.03734
189115119.903-4.90318
19061115.269-54.2691
19160114.406-54.4063
192109119.845-10.8453
19368119.793-51.7934
194111120.266-9.26598
19577112.678-35.6777
19673118.373-45.3727
197151113.45537.5449
19889115.132-26.1319
19978114.434-36.4337
200110121.327-11.3269
201220121.97998.0207
20265122.586-57.586
203141117.75423.2462
204117112.3394.66073
205122113.378.63025
20663112.144-49.1441
20744116.162-72.1624
20852113.851-61.8514
209131112.19918.801
210101113.845-12.8453
21142116.638-74.638
212152116.88835.112
213107117.473-10.4733
21477114.989-37.9886
215154115.85438.1455
216103117.004-14.0038
21796111.476-15.4765
218175117.78157.2187
21957113.233-56.2325
220112115.717-3.71726
221143116.07726.923
22249118.254-69.2538
223110117.449-7.44894
224131113.45517.5449
225167114.87952.1211
22656114.601-58.6014
227137118.95518.045
22886118.702-32.702
229121118.1992.80105
230149115.38233.6181
231168120.26647.734
232140116.58323.4169
23388119.007-31.0069
234168114.01353.987
23594116.47-22.4703
23651118.928-67.9276
23748116.19-68.1898
238145118.56226.4383
23966113.995-47.9947
24085120.126-35.1257
241109122.303-13.3025
24263112.169-49.1686
243102118.062-16.0617
244162115.4446.5602
24586115.272-29.2721
246114115.714-1.71423
247164114.15649.8437
248119112.9286.07234
249126119.5686.43218
250132119.56812.4322
251142116.1925.8102
25283115.047-32.0465
25394115.019-21.0191
25481106.034-25.0345
255166112.08953.9107
256110118.452-8.45198
25764116.022-52.0221
25893118.476-25.4764
259104115.269-11.2691
260105114.129-9.12886
26149118.763-69.7629
26288115.297-27.2965
26395115.19-20.1898
264102119.876-17.8757
26599116.443-17.4429
26663116.696-53.6959
26776112.623-36.6228
268109122.272-13.2721
269117120.824-3.8239
27057118.87-61.8697
271120117.1112.88945
27273112.589-39.5893
27391116.33-25.3301
274108117.586-9.58614
275105118.982-13.9825
276117114.8542.14554
277119116.8882.11201
27831113.54-82.5405

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 149 & 109.162 & 39.8375 \tabularnewline
2 & 139 & 118.397 & 20.6029 \tabularnewline
3 & 148 & 112.483 & 35.5175 \tabularnewline
4 & 158 & 120.516 & 37.484 \tabularnewline
5 & 128 & 114.659 & 13.3407 \tabularnewline
6 & 224 & 116.08 & 107.92 \tabularnewline
7 & 159 & 114.739 & 44.2614 \tabularnewline
8 & 105 & 114.995 & -9.99469 \tabularnewline
9 & 159 & 124.504 & 34.4963 \tabularnewline
10 & 167 & 125.379 & 41.6213 \tabularnewline
11 & 165 & 114.824 & 50.176 \tabularnewline
12 & 159 & 122.61 & 36.3895 \tabularnewline
13 & 119 & 113.9 & 5.09977 \tabularnewline
14 & 176 & 116.915 & 59.0846 \tabularnewline
15 & 54 & 120.208 & -66.2081 \tabularnewline
16 & 91 & 118.534 & -27.5343 \tabularnewline
17 & 163 & 112.647 & 50.3528 \tabularnewline
18 & 124 & 116.693 & 7.30714 \tabularnewline
19 & 137 & 118.202 & 18.798 \tabularnewline
20 & 121 & 121.379 & -0.378789 \tabularnewline
21 & 153 & 119.79 & 33.2096 \tabularnewline
22 & 148 & 119.4 & 28.5999 \tabularnewline
23 & 221 & 117.251 & 103.749 \tabularnewline
24 & 188 & 116.72 & 71.2797 \tabularnewline
25 & 149 & 119.568 & 29.4322 \tabularnewline
26 & 244 & 115.604 & 128.396 \tabularnewline
27 & 148 & 117.391 & 30.609 \tabularnewline
28 & 92 & 116.388 & -24.388 \tabularnewline
29 & 150 & 120.098 & 29.9017 \tabularnewline
30 & 153 & 114.598 & 38.4016 \tabularnewline
31 & 94 & 106.897 & -12.8973 \tabularnewline
32 & 156 & 117.644 & 38.3559 \tabularnewline
33 & 132 & 117.083 & 14.9169 \tabularnewline
34 & 161 & 112.144 & 48.8559 \tabularnewline
35 & 105 & 114.711 & -9.71119 \tabularnewline
36 & 97 & 116.946 & -19.9459 \tabularnewline
37 & 151 & 115.967 & 35.0327 \tabularnewline
38 & 131 & 117.699 & 13.3011 \tabularnewline
39 & 166 & 120.519 & 45.481 \tabularnewline
40 & 157 & 112.422 & 44.5784 \tabularnewline
41 & 111 & 113.543 & -2.54349 \tabularnewline
42 & 145 & 115.635 & 29.3651 \tabularnewline
43 & 162 & 114.851 & 47.1486 \tabularnewline
44 & 163 & 108.068 & 54.932 \tabularnewline
45 & 59 & 108.098 & -49.0985 \tabularnewline
46 & 187 & 121.549 & 65.4505 \tabularnewline
47 & 109 & 115.998 & -6.99774 \tabularnewline
48 & 90 & 118.675 & -28.6745 \tabularnewline
49 & 105 & 119.678 & -14.6776 \tabularnewline
50 & 83 & 114.601 & -31.6014 \tabularnewline
51 & 116 & 115.854 & 0.145531 \tabularnewline
52 & 42 & 115.69 & -73.6898 \tabularnewline
53 & 148 & 113.653 & 34.3467 \tabularnewline
54 & 155 & 120.181 & 34.8194 \tabularnewline
55 & 125 & 120.043 & 4.95658 \tabularnewline
56 & 116 & 117.056 & -1.05566 \tabularnewline
57 & 128 & 110.412 & 17.5875 \tabularnewline
58 & 138 & 116.638 & 21.362 \tabularnewline
59 & 49 & 113.876 & -64.8758 \tabularnewline
60 & 96 & 114.964 & -18.9642 \tabularnewline
61 & 164 & 119.513 & 44.4871 \tabularnewline
62 & 162 & 116.693 & 45.3071 \tabularnewline
63 & 99 & 110.412 & -11.4125 \tabularnewline
64 & 202 & 113.486 & 88.5144 \tabularnewline
65 & 186 & 117.281 & 68.7187 \tabularnewline
66 & 66 & 113.681 & -47.6807 \tabularnewline
67 & 183 & 119.818 & 63.1822 \tabularnewline
68 & 214 & 118.928 & 95.0724 \tabularnewline
69 & 188 & 113.736 & 74.2644 \tabularnewline
70 & 104 & 110.806 & -6.80574 \tabularnewline
71 & 177 & 116.723 & 60.2767 \tabularnewline
72 & 126 & 115.885 & 10.1151 \tabularnewline
73 & 76 & 118.37 & -42.3697 \tabularnewline
74 & 99 & 122.668 & -23.6684 \tabularnewline
75 & 139 & 108.458 & 30.5418 \tabularnewline
76 & 162 & 112.117 & 49.8833 \tabularnewline
77 & 108 & 112.007 & -4.00694 \tabularnewline
78 & 159 & 120.992 & 38.0084 \tabularnewline
79 & 74 & 109.047 & -35.0466 \tabularnewline
80 & 110 & 115.437 & -5.43679 \tabularnewline
81 & 96 & 114.824 & -18.824 \tabularnewline
82 & 116 & 115.827 & 0.172973 \tabularnewline
83 & 87 & 113.818 & -26.8179 \tabularnewline
84 & 97 & 117.614 & -20.6136 \tabularnewline
85 & 127 & 112.733 & 14.2675 \tabularnewline
86 & 106 & 118.425 & -12.4245 \tabularnewline
87 & 80 & 118.815 & -38.8148 \tabularnewline
88 & 74 & 117.891 & -43.891 \tabularnewline
89 & 91 & 117.028 & -26.0282 \tabularnewline
90 & 133 & 115.464 & 17.5358 \tabularnewline
91 & 74 & 116.583 & -42.5831 \tabularnewline
92 & 114 & 109.55 & 4.45033 \tabularnewline
93 & 140 & 121.745 & 18.2554 \tabularnewline
94 & 95 & 108.824 & -13.8241 \tabularnewline
95 & 98 & 115.467 & -17.4673 \tabularnewline
96 & 121 & 120.516 & 0.484017 \tabularnewline
97 & 126 & 118.257 & 7.74314 \tabularnewline
98 & 98 & 117.391 & -19.391 \tabularnewline
99 & 95 & 112.62 & -17.6197 \tabularnewline
100 & 110 & 118.925 & -8.92455 \tabularnewline
101 & 70 & 117.586 & -47.5861 \tabularnewline
102 & 102 & 119.315 & -17.3148 \tabularnewline
103 & 86 & 106.144 & -20.1442 \tabularnewline
104 & 130 & 118.172 & 11.8285 \tabularnewline
105 & 96 & 115.745 & -19.7447 \tabularnewline
106 & 102 & 116.053 & -14.0526 \tabularnewline
107 & 100 & 118.175 & -18.1745 \tabularnewline
108 & 94 & 114.013 & -20.013 \tabularnewline
109 & 52 & 118.815 & -66.8148 \tabularnewline
110 & 98 & 118.034 & -20.0343 \tabularnewline
111 & 118 & 119.4 & -1.40014 \tabularnewline
112 & 99 & 119.178 & -20.1776 \tabularnewline
113 & 48 & 118.428 & -70.4276 \tabularnewline
114 & 50 & 104.528 & -54.5284 \tabularnewline
115 & 150 & 113.568 & 36.4321 \tabularnewline
116 & 154 & 116.861 & 37.1395 \tabularnewline
117 & 109 & 117.421 & -8.4215 \tabularnewline
118 & 68 & 118.678 & -50.6776 \tabularnewline
119 & 194 & 117.031 & 76.9687 \tabularnewline
120 & 158 & 118.955 & 39.045 \tabularnewline
121 & 159 & 118.647 & 40.3529 \tabularnewline
122 & 67 & 116.08 & -49.0801 \tabularnewline
123 & 147 & 116.196 & 30.8041 \tabularnewline
124 & 39 & 119.678 & -80.6776 \tabularnewline
125 & 100 & 116.248 & -16.2477 \tabularnewline
126 & 111 & 116.665 & -5.66542 \tabularnewline
127 & 138 & 110.806 & 27.1943 \tabularnewline
128 & 101 & 116.806 & -15.8057 \tabularnewline
129 & 131 & 122.33 & 8.67002 \tabularnewline
130 & 101 & 116.053 & -15.0526 \tabularnewline
131 & 114 & 115.467 & -1.46726 \tabularnewline
132 & 165 & 118.479 & 46.5206 \tabularnewline
133 & 114 & 114.181 & -0.180708 \tabularnewline
134 & 111 & 119.232 & -8.23246 \tabularnewline
135 & 75 & 109.858 & -34.8576 \tabularnewline
136 & 82 & 122.193 & -40.1928 \tabularnewline
137 & 121 & 114.406 & 6.5937 \tabularnewline
138 & 32 & 115.8 & -83.7996 \tabularnewline
139 & 150 & 117.614 & 32.3864 \tabularnewline
140 & 117 & 121.693 & -4.69277 \tabularnewline
141 & 71 & 110.696 & -39.696 \tabularnewline
142 & 165 & 113.428 & 51.5723 \tabularnewline
143 & 154 & 120.906 & 33.0938 \tabularnewline
144 & 126 & 114.236 & 11.7644 \tabularnewline
145 & 149 & 116.665 & 32.3346 \tabularnewline
146 & 145 & 114.94 & 30.0602 \tabularnewline
147 & 120 & 125.879 & -5.87869 \tabularnewline
148 & 109 & 116.918 & -7.91846 \tabularnewline
149 & 132 & 116.361 & 15.6395 \tabularnewline
150 & 172 & 117.059 & 54.9413 \tabularnewline
151 & 169 & 116.635 & 52.365 \tabularnewline
152 & 114 & 118.37 & -4.36966 \tabularnewline
153 & 156 & 118.37 & 37.6303 \tabularnewline
154 & 172 & 108.742 & 63.2583 \tabularnewline
155 & 68 & 121.662 & -53.6623 \tabularnewline
156 & 89 & 122.165 & -33.1653 \tabularnewline
157 & 167 & 124.37 & 42.6304 \tabularnewline
158 & 113 & 116.162 & -3.16239 \tabularnewline
159 & 115 & 121.775 & -6.77509 \tabularnewline
160 & 78 & 111.559 & -33.5588 \tabularnewline
161 & 118 & 114.239 & 3.76138 \tabularnewline
162 & 87 & 117.586 & -30.5861 \tabularnewline
163 & 173 & 113.989 & 59.0114 \tabularnewline
164 & 2 & 120.351 & -118.351 \tabularnewline
165 & 162 & 118.568 & 43.4322 \tabularnewline
166 & 49 & 115.187 & -66.1868 \tabularnewline
167 & 122 & 114.739 & 7.26137 \tabularnewline
168 & 96 & 116.47 & -20.4703 \tabularnewline
169 & 100 & 121.83 & -21.83 \tabularnewline
170 & 82 & 118.842 & -36.8422 \tabularnewline
171 & 100 & 124.562 & -24.5617 \tabularnewline
172 & 115 & 116.22 & -1.2203 \tabularnewline
173 & 141 & 116.861 & 24.1395 \tabularnewline
174 & 165 & 118.705 & 46.295 \tabularnewline
175 & 165 & 118.37 & 46.6303 \tabularnewline
176 & 110 & 114.934 & -4.93375 \tabularnewline
177 & 118 & 115.943 & 2.05715 \tabularnewline
178 & 158 & 106.788 & 51.2125 \tabularnewline
179 & 146 & 114.601 & 31.3986 \tabularnewline
180 & 49 & 113.233 & -64.2325 \tabularnewline
181 & 90 & 116.528 & -26.5282 \tabularnewline
182 & 121 & 112.537 & 8.46258 \tabularnewline
183 & 155 & 115.214 & 39.7858 \tabularnewline
184 & 104 & 117.083 & -13.0831 \tabularnewline
185 & 147 & 110.416 & 36.5845 \tabularnewline
186 & 110 & 118.76 & -8.7599 \tabularnewline
187 & 108 & 118.982 & -10.9825 \tabularnewline
188 & 113 & 119.037 & -6.03734 \tabularnewline
189 & 115 & 119.903 & -4.90318 \tabularnewline
190 & 61 & 115.269 & -54.2691 \tabularnewline
191 & 60 & 114.406 & -54.4063 \tabularnewline
192 & 109 & 119.845 & -10.8453 \tabularnewline
193 & 68 & 119.793 & -51.7934 \tabularnewline
194 & 111 & 120.266 & -9.26598 \tabularnewline
195 & 77 & 112.678 & -35.6777 \tabularnewline
196 & 73 & 118.373 & -45.3727 \tabularnewline
197 & 151 & 113.455 & 37.5449 \tabularnewline
198 & 89 & 115.132 & -26.1319 \tabularnewline
199 & 78 & 114.434 & -36.4337 \tabularnewline
200 & 110 & 121.327 & -11.3269 \tabularnewline
201 & 220 & 121.979 & 98.0207 \tabularnewline
202 & 65 & 122.586 & -57.586 \tabularnewline
203 & 141 & 117.754 & 23.2462 \tabularnewline
204 & 117 & 112.339 & 4.66073 \tabularnewline
205 & 122 & 113.37 & 8.63025 \tabularnewline
206 & 63 & 112.144 & -49.1441 \tabularnewline
207 & 44 & 116.162 & -72.1624 \tabularnewline
208 & 52 & 113.851 & -61.8514 \tabularnewline
209 & 131 & 112.199 & 18.801 \tabularnewline
210 & 101 & 113.845 & -12.8453 \tabularnewline
211 & 42 & 116.638 & -74.638 \tabularnewline
212 & 152 & 116.888 & 35.112 \tabularnewline
213 & 107 & 117.473 & -10.4733 \tabularnewline
214 & 77 & 114.989 & -37.9886 \tabularnewline
215 & 154 & 115.854 & 38.1455 \tabularnewline
216 & 103 & 117.004 & -14.0038 \tabularnewline
217 & 96 & 111.476 & -15.4765 \tabularnewline
218 & 175 & 117.781 & 57.2187 \tabularnewline
219 & 57 & 113.233 & -56.2325 \tabularnewline
220 & 112 & 115.717 & -3.71726 \tabularnewline
221 & 143 & 116.077 & 26.923 \tabularnewline
222 & 49 & 118.254 & -69.2538 \tabularnewline
223 & 110 & 117.449 & -7.44894 \tabularnewline
224 & 131 & 113.455 & 17.5449 \tabularnewline
225 & 167 & 114.879 & 52.1211 \tabularnewline
226 & 56 & 114.601 & -58.6014 \tabularnewline
227 & 137 & 118.955 & 18.045 \tabularnewline
228 & 86 & 118.702 & -32.702 \tabularnewline
229 & 121 & 118.199 & 2.80105 \tabularnewline
230 & 149 & 115.382 & 33.6181 \tabularnewline
231 & 168 & 120.266 & 47.734 \tabularnewline
232 & 140 & 116.583 & 23.4169 \tabularnewline
233 & 88 & 119.007 & -31.0069 \tabularnewline
234 & 168 & 114.013 & 53.987 \tabularnewline
235 & 94 & 116.47 & -22.4703 \tabularnewline
236 & 51 & 118.928 & -67.9276 \tabularnewline
237 & 48 & 116.19 & -68.1898 \tabularnewline
238 & 145 & 118.562 & 26.4383 \tabularnewline
239 & 66 & 113.995 & -47.9947 \tabularnewline
240 & 85 & 120.126 & -35.1257 \tabularnewline
241 & 109 & 122.303 & -13.3025 \tabularnewline
242 & 63 & 112.169 & -49.1686 \tabularnewline
243 & 102 & 118.062 & -16.0617 \tabularnewline
244 & 162 & 115.44 & 46.5602 \tabularnewline
245 & 86 & 115.272 & -29.2721 \tabularnewline
246 & 114 & 115.714 & -1.71423 \tabularnewline
247 & 164 & 114.156 & 49.8437 \tabularnewline
248 & 119 & 112.928 & 6.07234 \tabularnewline
249 & 126 & 119.568 & 6.43218 \tabularnewline
250 & 132 & 119.568 & 12.4322 \tabularnewline
251 & 142 & 116.19 & 25.8102 \tabularnewline
252 & 83 & 115.047 & -32.0465 \tabularnewline
253 & 94 & 115.019 & -21.0191 \tabularnewline
254 & 81 & 106.034 & -25.0345 \tabularnewline
255 & 166 & 112.089 & 53.9107 \tabularnewline
256 & 110 & 118.452 & -8.45198 \tabularnewline
257 & 64 & 116.022 & -52.0221 \tabularnewline
258 & 93 & 118.476 & -25.4764 \tabularnewline
259 & 104 & 115.269 & -11.2691 \tabularnewline
260 & 105 & 114.129 & -9.12886 \tabularnewline
261 & 49 & 118.763 & -69.7629 \tabularnewline
262 & 88 & 115.297 & -27.2965 \tabularnewline
263 & 95 & 115.19 & -20.1898 \tabularnewline
264 & 102 & 119.876 & -17.8757 \tabularnewline
265 & 99 & 116.443 & -17.4429 \tabularnewline
266 & 63 & 116.696 & -53.6959 \tabularnewline
267 & 76 & 112.623 & -36.6228 \tabularnewline
268 & 109 & 122.272 & -13.2721 \tabularnewline
269 & 117 & 120.824 & -3.8239 \tabularnewline
270 & 57 & 118.87 & -61.8697 \tabularnewline
271 & 120 & 117.111 & 2.88945 \tabularnewline
272 & 73 & 112.589 & -39.5893 \tabularnewline
273 & 91 & 116.33 & -25.3301 \tabularnewline
274 & 108 & 117.586 & -9.58614 \tabularnewline
275 & 105 & 118.982 & -13.9825 \tabularnewline
276 & 117 & 114.854 & 2.14554 \tabularnewline
277 & 119 & 116.888 & 2.11201 \tabularnewline
278 & 31 & 113.54 & -82.5405 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267340&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]149[/C][C]109.162[/C][C]39.8375[/C][/ROW]
[ROW][C]2[/C][C]139[/C][C]118.397[/C][C]20.6029[/C][/ROW]
[ROW][C]3[/C][C]148[/C][C]112.483[/C][C]35.5175[/C][/ROW]
[ROW][C]4[/C][C]158[/C][C]120.516[/C][C]37.484[/C][/ROW]
[ROW][C]5[/C][C]128[/C][C]114.659[/C][C]13.3407[/C][/ROW]
[ROW][C]6[/C][C]224[/C][C]116.08[/C][C]107.92[/C][/ROW]
[ROW][C]7[/C][C]159[/C][C]114.739[/C][C]44.2614[/C][/ROW]
[ROW][C]8[/C][C]105[/C][C]114.995[/C][C]-9.99469[/C][/ROW]
[ROW][C]9[/C][C]159[/C][C]124.504[/C][C]34.4963[/C][/ROW]
[ROW][C]10[/C][C]167[/C][C]125.379[/C][C]41.6213[/C][/ROW]
[ROW][C]11[/C][C]165[/C][C]114.824[/C][C]50.176[/C][/ROW]
[ROW][C]12[/C][C]159[/C][C]122.61[/C][C]36.3895[/C][/ROW]
[ROW][C]13[/C][C]119[/C][C]113.9[/C][C]5.09977[/C][/ROW]
[ROW][C]14[/C][C]176[/C][C]116.915[/C][C]59.0846[/C][/ROW]
[ROW][C]15[/C][C]54[/C][C]120.208[/C][C]-66.2081[/C][/ROW]
[ROW][C]16[/C][C]91[/C][C]118.534[/C][C]-27.5343[/C][/ROW]
[ROW][C]17[/C][C]163[/C][C]112.647[/C][C]50.3528[/C][/ROW]
[ROW][C]18[/C][C]124[/C][C]116.693[/C][C]7.30714[/C][/ROW]
[ROW][C]19[/C][C]137[/C][C]118.202[/C][C]18.798[/C][/ROW]
[ROW][C]20[/C][C]121[/C][C]121.379[/C][C]-0.378789[/C][/ROW]
[ROW][C]21[/C][C]153[/C][C]119.79[/C][C]33.2096[/C][/ROW]
[ROW][C]22[/C][C]148[/C][C]119.4[/C][C]28.5999[/C][/ROW]
[ROW][C]23[/C][C]221[/C][C]117.251[/C][C]103.749[/C][/ROW]
[ROW][C]24[/C][C]188[/C][C]116.72[/C][C]71.2797[/C][/ROW]
[ROW][C]25[/C][C]149[/C][C]119.568[/C][C]29.4322[/C][/ROW]
[ROW][C]26[/C][C]244[/C][C]115.604[/C][C]128.396[/C][/ROW]
[ROW][C]27[/C][C]148[/C][C]117.391[/C][C]30.609[/C][/ROW]
[ROW][C]28[/C][C]92[/C][C]116.388[/C][C]-24.388[/C][/ROW]
[ROW][C]29[/C][C]150[/C][C]120.098[/C][C]29.9017[/C][/ROW]
[ROW][C]30[/C][C]153[/C][C]114.598[/C][C]38.4016[/C][/ROW]
[ROW][C]31[/C][C]94[/C][C]106.897[/C][C]-12.8973[/C][/ROW]
[ROW][C]32[/C][C]156[/C][C]117.644[/C][C]38.3559[/C][/ROW]
[ROW][C]33[/C][C]132[/C][C]117.083[/C][C]14.9169[/C][/ROW]
[ROW][C]34[/C][C]161[/C][C]112.144[/C][C]48.8559[/C][/ROW]
[ROW][C]35[/C][C]105[/C][C]114.711[/C][C]-9.71119[/C][/ROW]
[ROW][C]36[/C][C]97[/C][C]116.946[/C][C]-19.9459[/C][/ROW]
[ROW][C]37[/C][C]151[/C][C]115.967[/C][C]35.0327[/C][/ROW]
[ROW][C]38[/C][C]131[/C][C]117.699[/C][C]13.3011[/C][/ROW]
[ROW][C]39[/C][C]166[/C][C]120.519[/C][C]45.481[/C][/ROW]
[ROW][C]40[/C][C]157[/C][C]112.422[/C][C]44.5784[/C][/ROW]
[ROW][C]41[/C][C]111[/C][C]113.543[/C][C]-2.54349[/C][/ROW]
[ROW][C]42[/C][C]145[/C][C]115.635[/C][C]29.3651[/C][/ROW]
[ROW][C]43[/C][C]162[/C][C]114.851[/C][C]47.1486[/C][/ROW]
[ROW][C]44[/C][C]163[/C][C]108.068[/C][C]54.932[/C][/ROW]
[ROW][C]45[/C][C]59[/C][C]108.098[/C][C]-49.0985[/C][/ROW]
[ROW][C]46[/C][C]187[/C][C]121.549[/C][C]65.4505[/C][/ROW]
[ROW][C]47[/C][C]109[/C][C]115.998[/C][C]-6.99774[/C][/ROW]
[ROW][C]48[/C][C]90[/C][C]118.675[/C][C]-28.6745[/C][/ROW]
[ROW][C]49[/C][C]105[/C][C]119.678[/C][C]-14.6776[/C][/ROW]
[ROW][C]50[/C][C]83[/C][C]114.601[/C][C]-31.6014[/C][/ROW]
[ROW][C]51[/C][C]116[/C][C]115.854[/C][C]0.145531[/C][/ROW]
[ROW][C]52[/C][C]42[/C][C]115.69[/C][C]-73.6898[/C][/ROW]
[ROW][C]53[/C][C]148[/C][C]113.653[/C][C]34.3467[/C][/ROW]
[ROW][C]54[/C][C]155[/C][C]120.181[/C][C]34.8194[/C][/ROW]
[ROW][C]55[/C][C]125[/C][C]120.043[/C][C]4.95658[/C][/ROW]
[ROW][C]56[/C][C]116[/C][C]117.056[/C][C]-1.05566[/C][/ROW]
[ROW][C]57[/C][C]128[/C][C]110.412[/C][C]17.5875[/C][/ROW]
[ROW][C]58[/C][C]138[/C][C]116.638[/C][C]21.362[/C][/ROW]
[ROW][C]59[/C][C]49[/C][C]113.876[/C][C]-64.8758[/C][/ROW]
[ROW][C]60[/C][C]96[/C][C]114.964[/C][C]-18.9642[/C][/ROW]
[ROW][C]61[/C][C]164[/C][C]119.513[/C][C]44.4871[/C][/ROW]
[ROW][C]62[/C][C]162[/C][C]116.693[/C][C]45.3071[/C][/ROW]
[ROW][C]63[/C][C]99[/C][C]110.412[/C][C]-11.4125[/C][/ROW]
[ROW][C]64[/C][C]202[/C][C]113.486[/C][C]88.5144[/C][/ROW]
[ROW][C]65[/C][C]186[/C][C]117.281[/C][C]68.7187[/C][/ROW]
[ROW][C]66[/C][C]66[/C][C]113.681[/C][C]-47.6807[/C][/ROW]
[ROW][C]67[/C][C]183[/C][C]119.818[/C][C]63.1822[/C][/ROW]
[ROW][C]68[/C][C]214[/C][C]118.928[/C][C]95.0724[/C][/ROW]
[ROW][C]69[/C][C]188[/C][C]113.736[/C][C]74.2644[/C][/ROW]
[ROW][C]70[/C][C]104[/C][C]110.806[/C][C]-6.80574[/C][/ROW]
[ROW][C]71[/C][C]177[/C][C]116.723[/C][C]60.2767[/C][/ROW]
[ROW][C]72[/C][C]126[/C][C]115.885[/C][C]10.1151[/C][/ROW]
[ROW][C]73[/C][C]76[/C][C]118.37[/C][C]-42.3697[/C][/ROW]
[ROW][C]74[/C][C]99[/C][C]122.668[/C][C]-23.6684[/C][/ROW]
[ROW][C]75[/C][C]139[/C][C]108.458[/C][C]30.5418[/C][/ROW]
[ROW][C]76[/C][C]162[/C][C]112.117[/C][C]49.8833[/C][/ROW]
[ROW][C]77[/C][C]108[/C][C]112.007[/C][C]-4.00694[/C][/ROW]
[ROW][C]78[/C][C]159[/C][C]120.992[/C][C]38.0084[/C][/ROW]
[ROW][C]79[/C][C]74[/C][C]109.047[/C][C]-35.0466[/C][/ROW]
[ROW][C]80[/C][C]110[/C][C]115.437[/C][C]-5.43679[/C][/ROW]
[ROW][C]81[/C][C]96[/C][C]114.824[/C][C]-18.824[/C][/ROW]
[ROW][C]82[/C][C]116[/C][C]115.827[/C][C]0.172973[/C][/ROW]
[ROW][C]83[/C][C]87[/C][C]113.818[/C][C]-26.8179[/C][/ROW]
[ROW][C]84[/C][C]97[/C][C]117.614[/C][C]-20.6136[/C][/ROW]
[ROW][C]85[/C][C]127[/C][C]112.733[/C][C]14.2675[/C][/ROW]
[ROW][C]86[/C][C]106[/C][C]118.425[/C][C]-12.4245[/C][/ROW]
[ROW][C]87[/C][C]80[/C][C]118.815[/C][C]-38.8148[/C][/ROW]
[ROW][C]88[/C][C]74[/C][C]117.891[/C][C]-43.891[/C][/ROW]
[ROW][C]89[/C][C]91[/C][C]117.028[/C][C]-26.0282[/C][/ROW]
[ROW][C]90[/C][C]133[/C][C]115.464[/C][C]17.5358[/C][/ROW]
[ROW][C]91[/C][C]74[/C][C]116.583[/C][C]-42.5831[/C][/ROW]
[ROW][C]92[/C][C]114[/C][C]109.55[/C][C]4.45033[/C][/ROW]
[ROW][C]93[/C][C]140[/C][C]121.745[/C][C]18.2554[/C][/ROW]
[ROW][C]94[/C][C]95[/C][C]108.824[/C][C]-13.8241[/C][/ROW]
[ROW][C]95[/C][C]98[/C][C]115.467[/C][C]-17.4673[/C][/ROW]
[ROW][C]96[/C][C]121[/C][C]120.516[/C][C]0.484017[/C][/ROW]
[ROW][C]97[/C][C]126[/C][C]118.257[/C][C]7.74314[/C][/ROW]
[ROW][C]98[/C][C]98[/C][C]117.391[/C][C]-19.391[/C][/ROW]
[ROW][C]99[/C][C]95[/C][C]112.62[/C][C]-17.6197[/C][/ROW]
[ROW][C]100[/C][C]110[/C][C]118.925[/C][C]-8.92455[/C][/ROW]
[ROW][C]101[/C][C]70[/C][C]117.586[/C][C]-47.5861[/C][/ROW]
[ROW][C]102[/C][C]102[/C][C]119.315[/C][C]-17.3148[/C][/ROW]
[ROW][C]103[/C][C]86[/C][C]106.144[/C][C]-20.1442[/C][/ROW]
[ROW][C]104[/C][C]130[/C][C]118.172[/C][C]11.8285[/C][/ROW]
[ROW][C]105[/C][C]96[/C][C]115.745[/C][C]-19.7447[/C][/ROW]
[ROW][C]106[/C][C]102[/C][C]116.053[/C][C]-14.0526[/C][/ROW]
[ROW][C]107[/C][C]100[/C][C]118.175[/C][C]-18.1745[/C][/ROW]
[ROW][C]108[/C][C]94[/C][C]114.013[/C][C]-20.013[/C][/ROW]
[ROW][C]109[/C][C]52[/C][C]118.815[/C][C]-66.8148[/C][/ROW]
[ROW][C]110[/C][C]98[/C][C]118.034[/C][C]-20.0343[/C][/ROW]
[ROW][C]111[/C][C]118[/C][C]119.4[/C][C]-1.40014[/C][/ROW]
[ROW][C]112[/C][C]99[/C][C]119.178[/C][C]-20.1776[/C][/ROW]
[ROW][C]113[/C][C]48[/C][C]118.428[/C][C]-70.4276[/C][/ROW]
[ROW][C]114[/C][C]50[/C][C]104.528[/C][C]-54.5284[/C][/ROW]
[ROW][C]115[/C][C]150[/C][C]113.568[/C][C]36.4321[/C][/ROW]
[ROW][C]116[/C][C]154[/C][C]116.861[/C][C]37.1395[/C][/ROW]
[ROW][C]117[/C][C]109[/C][C]117.421[/C][C]-8.4215[/C][/ROW]
[ROW][C]118[/C][C]68[/C][C]118.678[/C][C]-50.6776[/C][/ROW]
[ROW][C]119[/C][C]194[/C][C]117.031[/C][C]76.9687[/C][/ROW]
[ROW][C]120[/C][C]158[/C][C]118.955[/C][C]39.045[/C][/ROW]
[ROW][C]121[/C][C]159[/C][C]118.647[/C][C]40.3529[/C][/ROW]
[ROW][C]122[/C][C]67[/C][C]116.08[/C][C]-49.0801[/C][/ROW]
[ROW][C]123[/C][C]147[/C][C]116.196[/C][C]30.8041[/C][/ROW]
[ROW][C]124[/C][C]39[/C][C]119.678[/C][C]-80.6776[/C][/ROW]
[ROW][C]125[/C][C]100[/C][C]116.248[/C][C]-16.2477[/C][/ROW]
[ROW][C]126[/C][C]111[/C][C]116.665[/C][C]-5.66542[/C][/ROW]
[ROW][C]127[/C][C]138[/C][C]110.806[/C][C]27.1943[/C][/ROW]
[ROW][C]128[/C][C]101[/C][C]116.806[/C][C]-15.8057[/C][/ROW]
[ROW][C]129[/C][C]131[/C][C]122.33[/C][C]8.67002[/C][/ROW]
[ROW][C]130[/C][C]101[/C][C]116.053[/C][C]-15.0526[/C][/ROW]
[ROW][C]131[/C][C]114[/C][C]115.467[/C][C]-1.46726[/C][/ROW]
[ROW][C]132[/C][C]165[/C][C]118.479[/C][C]46.5206[/C][/ROW]
[ROW][C]133[/C][C]114[/C][C]114.181[/C][C]-0.180708[/C][/ROW]
[ROW][C]134[/C][C]111[/C][C]119.232[/C][C]-8.23246[/C][/ROW]
[ROW][C]135[/C][C]75[/C][C]109.858[/C][C]-34.8576[/C][/ROW]
[ROW][C]136[/C][C]82[/C][C]122.193[/C][C]-40.1928[/C][/ROW]
[ROW][C]137[/C][C]121[/C][C]114.406[/C][C]6.5937[/C][/ROW]
[ROW][C]138[/C][C]32[/C][C]115.8[/C][C]-83.7996[/C][/ROW]
[ROW][C]139[/C][C]150[/C][C]117.614[/C][C]32.3864[/C][/ROW]
[ROW][C]140[/C][C]117[/C][C]121.693[/C][C]-4.69277[/C][/ROW]
[ROW][C]141[/C][C]71[/C][C]110.696[/C][C]-39.696[/C][/ROW]
[ROW][C]142[/C][C]165[/C][C]113.428[/C][C]51.5723[/C][/ROW]
[ROW][C]143[/C][C]154[/C][C]120.906[/C][C]33.0938[/C][/ROW]
[ROW][C]144[/C][C]126[/C][C]114.236[/C][C]11.7644[/C][/ROW]
[ROW][C]145[/C][C]149[/C][C]116.665[/C][C]32.3346[/C][/ROW]
[ROW][C]146[/C][C]145[/C][C]114.94[/C][C]30.0602[/C][/ROW]
[ROW][C]147[/C][C]120[/C][C]125.879[/C][C]-5.87869[/C][/ROW]
[ROW][C]148[/C][C]109[/C][C]116.918[/C][C]-7.91846[/C][/ROW]
[ROW][C]149[/C][C]132[/C][C]116.361[/C][C]15.6395[/C][/ROW]
[ROW][C]150[/C][C]172[/C][C]117.059[/C][C]54.9413[/C][/ROW]
[ROW][C]151[/C][C]169[/C][C]116.635[/C][C]52.365[/C][/ROW]
[ROW][C]152[/C][C]114[/C][C]118.37[/C][C]-4.36966[/C][/ROW]
[ROW][C]153[/C][C]156[/C][C]118.37[/C][C]37.6303[/C][/ROW]
[ROW][C]154[/C][C]172[/C][C]108.742[/C][C]63.2583[/C][/ROW]
[ROW][C]155[/C][C]68[/C][C]121.662[/C][C]-53.6623[/C][/ROW]
[ROW][C]156[/C][C]89[/C][C]122.165[/C][C]-33.1653[/C][/ROW]
[ROW][C]157[/C][C]167[/C][C]124.37[/C][C]42.6304[/C][/ROW]
[ROW][C]158[/C][C]113[/C][C]116.162[/C][C]-3.16239[/C][/ROW]
[ROW][C]159[/C][C]115[/C][C]121.775[/C][C]-6.77509[/C][/ROW]
[ROW][C]160[/C][C]78[/C][C]111.559[/C][C]-33.5588[/C][/ROW]
[ROW][C]161[/C][C]118[/C][C]114.239[/C][C]3.76138[/C][/ROW]
[ROW][C]162[/C][C]87[/C][C]117.586[/C][C]-30.5861[/C][/ROW]
[ROW][C]163[/C][C]173[/C][C]113.989[/C][C]59.0114[/C][/ROW]
[ROW][C]164[/C][C]2[/C][C]120.351[/C][C]-118.351[/C][/ROW]
[ROW][C]165[/C][C]162[/C][C]118.568[/C][C]43.4322[/C][/ROW]
[ROW][C]166[/C][C]49[/C][C]115.187[/C][C]-66.1868[/C][/ROW]
[ROW][C]167[/C][C]122[/C][C]114.739[/C][C]7.26137[/C][/ROW]
[ROW][C]168[/C][C]96[/C][C]116.47[/C][C]-20.4703[/C][/ROW]
[ROW][C]169[/C][C]100[/C][C]121.83[/C][C]-21.83[/C][/ROW]
[ROW][C]170[/C][C]82[/C][C]118.842[/C][C]-36.8422[/C][/ROW]
[ROW][C]171[/C][C]100[/C][C]124.562[/C][C]-24.5617[/C][/ROW]
[ROW][C]172[/C][C]115[/C][C]116.22[/C][C]-1.2203[/C][/ROW]
[ROW][C]173[/C][C]141[/C][C]116.861[/C][C]24.1395[/C][/ROW]
[ROW][C]174[/C][C]165[/C][C]118.705[/C][C]46.295[/C][/ROW]
[ROW][C]175[/C][C]165[/C][C]118.37[/C][C]46.6303[/C][/ROW]
[ROW][C]176[/C][C]110[/C][C]114.934[/C][C]-4.93375[/C][/ROW]
[ROW][C]177[/C][C]118[/C][C]115.943[/C][C]2.05715[/C][/ROW]
[ROW][C]178[/C][C]158[/C][C]106.788[/C][C]51.2125[/C][/ROW]
[ROW][C]179[/C][C]146[/C][C]114.601[/C][C]31.3986[/C][/ROW]
[ROW][C]180[/C][C]49[/C][C]113.233[/C][C]-64.2325[/C][/ROW]
[ROW][C]181[/C][C]90[/C][C]116.528[/C][C]-26.5282[/C][/ROW]
[ROW][C]182[/C][C]121[/C][C]112.537[/C][C]8.46258[/C][/ROW]
[ROW][C]183[/C][C]155[/C][C]115.214[/C][C]39.7858[/C][/ROW]
[ROW][C]184[/C][C]104[/C][C]117.083[/C][C]-13.0831[/C][/ROW]
[ROW][C]185[/C][C]147[/C][C]110.416[/C][C]36.5845[/C][/ROW]
[ROW][C]186[/C][C]110[/C][C]118.76[/C][C]-8.7599[/C][/ROW]
[ROW][C]187[/C][C]108[/C][C]118.982[/C][C]-10.9825[/C][/ROW]
[ROW][C]188[/C][C]113[/C][C]119.037[/C][C]-6.03734[/C][/ROW]
[ROW][C]189[/C][C]115[/C][C]119.903[/C][C]-4.90318[/C][/ROW]
[ROW][C]190[/C][C]61[/C][C]115.269[/C][C]-54.2691[/C][/ROW]
[ROW][C]191[/C][C]60[/C][C]114.406[/C][C]-54.4063[/C][/ROW]
[ROW][C]192[/C][C]109[/C][C]119.845[/C][C]-10.8453[/C][/ROW]
[ROW][C]193[/C][C]68[/C][C]119.793[/C][C]-51.7934[/C][/ROW]
[ROW][C]194[/C][C]111[/C][C]120.266[/C][C]-9.26598[/C][/ROW]
[ROW][C]195[/C][C]77[/C][C]112.678[/C][C]-35.6777[/C][/ROW]
[ROW][C]196[/C][C]73[/C][C]118.373[/C][C]-45.3727[/C][/ROW]
[ROW][C]197[/C][C]151[/C][C]113.455[/C][C]37.5449[/C][/ROW]
[ROW][C]198[/C][C]89[/C][C]115.132[/C][C]-26.1319[/C][/ROW]
[ROW][C]199[/C][C]78[/C][C]114.434[/C][C]-36.4337[/C][/ROW]
[ROW][C]200[/C][C]110[/C][C]121.327[/C][C]-11.3269[/C][/ROW]
[ROW][C]201[/C][C]220[/C][C]121.979[/C][C]98.0207[/C][/ROW]
[ROW][C]202[/C][C]65[/C][C]122.586[/C][C]-57.586[/C][/ROW]
[ROW][C]203[/C][C]141[/C][C]117.754[/C][C]23.2462[/C][/ROW]
[ROW][C]204[/C][C]117[/C][C]112.339[/C][C]4.66073[/C][/ROW]
[ROW][C]205[/C][C]122[/C][C]113.37[/C][C]8.63025[/C][/ROW]
[ROW][C]206[/C][C]63[/C][C]112.144[/C][C]-49.1441[/C][/ROW]
[ROW][C]207[/C][C]44[/C][C]116.162[/C][C]-72.1624[/C][/ROW]
[ROW][C]208[/C][C]52[/C][C]113.851[/C][C]-61.8514[/C][/ROW]
[ROW][C]209[/C][C]131[/C][C]112.199[/C][C]18.801[/C][/ROW]
[ROW][C]210[/C][C]101[/C][C]113.845[/C][C]-12.8453[/C][/ROW]
[ROW][C]211[/C][C]42[/C][C]116.638[/C][C]-74.638[/C][/ROW]
[ROW][C]212[/C][C]152[/C][C]116.888[/C][C]35.112[/C][/ROW]
[ROW][C]213[/C][C]107[/C][C]117.473[/C][C]-10.4733[/C][/ROW]
[ROW][C]214[/C][C]77[/C][C]114.989[/C][C]-37.9886[/C][/ROW]
[ROW][C]215[/C][C]154[/C][C]115.854[/C][C]38.1455[/C][/ROW]
[ROW][C]216[/C][C]103[/C][C]117.004[/C][C]-14.0038[/C][/ROW]
[ROW][C]217[/C][C]96[/C][C]111.476[/C][C]-15.4765[/C][/ROW]
[ROW][C]218[/C][C]175[/C][C]117.781[/C][C]57.2187[/C][/ROW]
[ROW][C]219[/C][C]57[/C][C]113.233[/C][C]-56.2325[/C][/ROW]
[ROW][C]220[/C][C]112[/C][C]115.717[/C][C]-3.71726[/C][/ROW]
[ROW][C]221[/C][C]143[/C][C]116.077[/C][C]26.923[/C][/ROW]
[ROW][C]222[/C][C]49[/C][C]118.254[/C][C]-69.2538[/C][/ROW]
[ROW][C]223[/C][C]110[/C][C]117.449[/C][C]-7.44894[/C][/ROW]
[ROW][C]224[/C][C]131[/C][C]113.455[/C][C]17.5449[/C][/ROW]
[ROW][C]225[/C][C]167[/C][C]114.879[/C][C]52.1211[/C][/ROW]
[ROW][C]226[/C][C]56[/C][C]114.601[/C][C]-58.6014[/C][/ROW]
[ROW][C]227[/C][C]137[/C][C]118.955[/C][C]18.045[/C][/ROW]
[ROW][C]228[/C][C]86[/C][C]118.702[/C][C]-32.702[/C][/ROW]
[ROW][C]229[/C][C]121[/C][C]118.199[/C][C]2.80105[/C][/ROW]
[ROW][C]230[/C][C]149[/C][C]115.382[/C][C]33.6181[/C][/ROW]
[ROW][C]231[/C][C]168[/C][C]120.266[/C][C]47.734[/C][/ROW]
[ROW][C]232[/C][C]140[/C][C]116.583[/C][C]23.4169[/C][/ROW]
[ROW][C]233[/C][C]88[/C][C]119.007[/C][C]-31.0069[/C][/ROW]
[ROW][C]234[/C][C]168[/C][C]114.013[/C][C]53.987[/C][/ROW]
[ROW][C]235[/C][C]94[/C][C]116.47[/C][C]-22.4703[/C][/ROW]
[ROW][C]236[/C][C]51[/C][C]118.928[/C][C]-67.9276[/C][/ROW]
[ROW][C]237[/C][C]48[/C][C]116.19[/C][C]-68.1898[/C][/ROW]
[ROW][C]238[/C][C]145[/C][C]118.562[/C][C]26.4383[/C][/ROW]
[ROW][C]239[/C][C]66[/C][C]113.995[/C][C]-47.9947[/C][/ROW]
[ROW][C]240[/C][C]85[/C][C]120.126[/C][C]-35.1257[/C][/ROW]
[ROW][C]241[/C][C]109[/C][C]122.303[/C][C]-13.3025[/C][/ROW]
[ROW][C]242[/C][C]63[/C][C]112.169[/C][C]-49.1686[/C][/ROW]
[ROW][C]243[/C][C]102[/C][C]118.062[/C][C]-16.0617[/C][/ROW]
[ROW][C]244[/C][C]162[/C][C]115.44[/C][C]46.5602[/C][/ROW]
[ROW][C]245[/C][C]86[/C][C]115.272[/C][C]-29.2721[/C][/ROW]
[ROW][C]246[/C][C]114[/C][C]115.714[/C][C]-1.71423[/C][/ROW]
[ROW][C]247[/C][C]164[/C][C]114.156[/C][C]49.8437[/C][/ROW]
[ROW][C]248[/C][C]119[/C][C]112.928[/C][C]6.07234[/C][/ROW]
[ROW][C]249[/C][C]126[/C][C]119.568[/C][C]6.43218[/C][/ROW]
[ROW][C]250[/C][C]132[/C][C]119.568[/C][C]12.4322[/C][/ROW]
[ROW][C]251[/C][C]142[/C][C]116.19[/C][C]25.8102[/C][/ROW]
[ROW][C]252[/C][C]83[/C][C]115.047[/C][C]-32.0465[/C][/ROW]
[ROW][C]253[/C][C]94[/C][C]115.019[/C][C]-21.0191[/C][/ROW]
[ROW][C]254[/C][C]81[/C][C]106.034[/C][C]-25.0345[/C][/ROW]
[ROW][C]255[/C][C]166[/C][C]112.089[/C][C]53.9107[/C][/ROW]
[ROW][C]256[/C][C]110[/C][C]118.452[/C][C]-8.45198[/C][/ROW]
[ROW][C]257[/C][C]64[/C][C]116.022[/C][C]-52.0221[/C][/ROW]
[ROW][C]258[/C][C]93[/C][C]118.476[/C][C]-25.4764[/C][/ROW]
[ROW][C]259[/C][C]104[/C][C]115.269[/C][C]-11.2691[/C][/ROW]
[ROW][C]260[/C][C]105[/C][C]114.129[/C][C]-9.12886[/C][/ROW]
[ROW][C]261[/C][C]49[/C][C]118.763[/C][C]-69.7629[/C][/ROW]
[ROW][C]262[/C][C]88[/C][C]115.297[/C][C]-27.2965[/C][/ROW]
[ROW][C]263[/C][C]95[/C][C]115.19[/C][C]-20.1898[/C][/ROW]
[ROW][C]264[/C][C]102[/C][C]119.876[/C][C]-17.8757[/C][/ROW]
[ROW][C]265[/C][C]99[/C][C]116.443[/C][C]-17.4429[/C][/ROW]
[ROW][C]266[/C][C]63[/C][C]116.696[/C][C]-53.6959[/C][/ROW]
[ROW][C]267[/C][C]76[/C][C]112.623[/C][C]-36.6228[/C][/ROW]
[ROW][C]268[/C][C]109[/C][C]122.272[/C][C]-13.2721[/C][/ROW]
[ROW][C]269[/C][C]117[/C][C]120.824[/C][C]-3.8239[/C][/ROW]
[ROW][C]270[/C][C]57[/C][C]118.87[/C][C]-61.8697[/C][/ROW]
[ROW][C]271[/C][C]120[/C][C]117.111[/C][C]2.88945[/C][/ROW]
[ROW][C]272[/C][C]73[/C][C]112.589[/C][C]-39.5893[/C][/ROW]
[ROW][C]273[/C][C]91[/C][C]116.33[/C][C]-25.3301[/C][/ROW]
[ROW][C]274[/C][C]108[/C][C]117.586[/C][C]-9.58614[/C][/ROW]
[ROW][C]275[/C][C]105[/C][C]118.982[/C][C]-13.9825[/C][/ROW]
[ROW][C]276[/C][C]117[/C][C]114.854[/C][C]2.14554[/C][/ROW]
[ROW][C]277[/C][C]119[/C][C]116.888[/C][C]2.11201[/C][/ROW]
[ROW][C]278[/C][C]31[/C][C]113.54[/C][C]-82.5405[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267340&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267340&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
1149109.16239.8375
2139118.39720.6029
3148112.48335.5175
4158120.51637.484
5128114.65913.3407
6224116.08107.92
7159114.73944.2614
8105114.995-9.99469
9159124.50434.4963
10167125.37941.6213
11165114.82450.176
12159122.6136.3895
13119113.95.09977
14176116.91559.0846
1554120.208-66.2081
1691118.534-27.5343
17163112.64750.3528
18124116.6937.30714
19137118.20218.798
20121121.379-0.378789
21153119.7933.2096
22148119.428.5999
23221117.251103.749
24188116.7271.2797
25149119.56829.4322
26244115.604128.396
27148117.39130.609
2892116.388-24.388
29150120.09829.9017
30153114.59838.4016
3194106.897-12.8973
32156117.64438.3559
33132117.08314.9169
34161112.14448.8559
35105114.711-9.71119
3697116.946-19.9459
37151115.96735.0327
38131117.69913.3011
39166120.51945.481
40157112.42244.5784
41111113.543-2.54349
42145115.63529.3651
43162114.85147.1486
44163108.06854.932
4559108.098-49.0985
46187121.54965.4505
47109115.998-6.99774
4890118.675-28.6745
49105119.678-14.6776
5083114.601-31.6014
51116115.8540.145531
5242115.69-73.6898
53148113.65334.3467
54155120.18134.8194
55125120.0434.95658
56116117.056-1.05566
57128110.41217.5875
58138116.63821.362
5949113.876-64.8758
6096114.964-18.9642
61164119.51344.4871
62162116.69345.3071
6399110.412-11.4125
64202113.48688.5144
65186117.28168.7187
6666113.681-47.6807
67183119.81863.1822
68214118.92895.0724
69188113.73674.2644
70104110.806-6.80574
71177116.72360.2767
72126115.88510.1151
7376118.37-42.3697
7499122.668-23.6684
75139108.45830.5418
76162112.11749.8833
77108112.007-4.00694
78159120.99238.0084
7974109.047-35.0466
80110115.437-5.43679
8196114.824-18.824
82116115.8270.172973
8387113.818-26.8179
8497117.614-20.6136
85127112.73314.2675
86106118.425-12.4245
8780118.815-38.8148
8874117.891-43.891
8991117.028-26.0282
90133115.46417.5358
9174116.583-42.5831
92114109.554.45033
93140121.74518.2554
9495108.824-13.8241
9598115.467-17.4673
96121120.5160.484017
97126118.2577.74314
9898117.391-19.391
9995112.62-17.6197
100110118.925-8.92455
10170117.586-47.5861
102102119.315-17.3148
10386106.144-20.1442
104130118.17211.8285
10596115.745-19.7447
106102116.053-14.0526
107100118.175-18.1745
10894114.013-20.013
10952118.815-66.8148
11098118.034-20.0343
111118119.4-1.40014
11299119.178-20.1776
11348118.428-70.4276
11450104.528-54.5284
115150113.56836.4321
116154116.86137.1395
117109117.421-8.4215
11868118.678-50.6776
119194117.03176.9687
120158118.95539.045
121159118.64740.3529
12267116.08-49.0801
123147116.19630.8041
12439119.678-80.6776
125100116.248-16.2477
126111116.665-5.66542
127138110.80627.1943
128101116.806-15.8057
129131122.338.67002
130101116.053-15.0526
131114115.467-1.46726
132165118.47946.5206
133114114.181-0.180708
134111119.232-8.23246
13575109.858-34.8576
13682122.193-40.1928
137121114.4066.5937
13832115.8-83.7996
139150117.61432.3864
140117121.693-4.69277
14171110.696-39.696
142165113.42851.5723
143154120.90633.0938
144126114.23611.7644
145149116.66532.3346
146145114.9430.0602
147120125.879-5.87869
148109116.918-7.91846
149132116.36115.6395
150172117.05954.9413
151169116.63552.365
152114118.37-4.36966
153156118.3737.6303
154172108.74263.2583
15568121.662-53.6623
15689122.165-33.1653
157167124.3742.6304
158113116.162-3.16239
159115121.775-6.77509
16078111.559-33.5588
161118114.2393.76138
16287117.586-30.5861
163173113.98959.0114
1642120.351-118.351
165162118.56843.4322
16649115.187-66.1868
167122114.7397.26137
16896116.47-20.4703
169100121.83-21.83
17082118.842-36.8422
171100124.562-24.5617
172115116.22-1.2203
173141116.86124.1395
174165118.70546.295
175165118.3746.6303
176110114.934-4.93375
177118115.9432.05715
178158106.78851.2125
179146114.60131.3986
18049113.233-64.2325
18190116.528-26.5282
182121112.5378.46258
183155115.21439.7858
184104117.083-13.0831
185147110.41636.5845
186110118.76-8.7599
187108118.982-10.9825
188113119.037-6.03734
189115119.903-4.90318
19061115.269-54.2691
19160114.406-54.4063
192109119.845-10.8453
19368119.793-51.7934
194111120.266-9.26598
19577112.678-35.6777
19673118.373-45.3727
197151113.45537.5449
19889115.132-26.1319
19978114.434-36.4337
200110121.327-11.3269
201220121.97998.0207
20265122.586-57.586
203141117.75423.2462
204117112.3394.66073
205122113.378.63025
20663112.144-49.1441
20744116.162-72.1624
20852113.851-61.8514
209131112.19918.801
210101113.845-12.8453
21142116.638-74.638
212152116.88835.112
213107117.473-10.4733
21477114.989-37.9886
215154115.85438.1455
216103117.004-14.0038
21796111.476-15.4765
218175117.78157.2187
21957113.233-56.2325
220112115.717-3.71726
221143116.07726.923
22249118.254-69.2538
223110117.449-7.44894
224131113.45517.5449
225167114.87952.1211
22656114.601-58.6014
227137118.95518.045
22886118.702-32.702
229121118.1992.80105
230149115.38233.6181
231168120.26647.734
232140116.58323.4169
23388119.007-31.0069
234168114.01353.987
23594116.47-22.4703
23651118.928-67.9276
23748116.19-68.1898
238145118.56226.4383
23966113.995-47.9947
24085120.126-35.1257
241109122.303-13.3025
24263112.169-49.1686
243102118.062-16.0617
244162115.4446.5602
24586115.272-29.2721
246114115.714-1.71423
247164114.15649.8437
248119112.9286.07234
249126119.5686.43218
250132119.56812.4322
251142116.1925.8102
25283115.047-32.0465
25394115.019-21.0191
25481106.034-25.0345
255166112.08953.9107
256110118.452-8.45198
25764116.022-52.0221
25893118.476-25.4764
259104115.269-11.2691
260105114.129-9.12886
26149118.763-69.7629
26288115.297-27.2965
26395115.19-20.1898
264102119.876-17.8757
26599116.443-17.4429
26663116.696-53.6959
26776112.623-36.6228
268109122.272-13.2721
269117120.824-3.8239
27057118.87-61.8697
271120117.1112.88945
27273112.589-39.5893
27391116.33-25.3301
274108117.586-9.58614
275105118.982-13.9825
276117114.8542.14554
277119116.8882.11201
27831113.54-82.5405






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.235840.471680.76416
70.4471660.8943310.552834
80.3804780.7609550.619522
90.2841860.5683730.715814
100.3334830.6669650.666517
110.2452680.4905360.754732
120.1689480.3378960.831052
130.1768760.3537520.823124
140.1420210.2840410.857979
150.5989250.802150.401075
160.6467570.7064860.353243
170.595320.8093610.40468
180.5341730.9316530.465827
190.4630210.9260410.536979
200.3999250.7998510.600075
210.3420560.6841120.657944
220.2831530.5663060.716847
230.5014120.9971760.498588
240.5229360.9541280.477064
250.4621190.9242390.537881
260.7564510.4870970.243549
270.7110640.5778730.288936
280.7593190.4813620.240681
290.7159180.5681630.284082
300.6719290.6561410.328071
310.7091110.5817770.290889
320.6678630.6642740.332137
330.6252140.7495730.374786
340.5920460.8159080.407954
350.590250.81950.40975
360.6127650.774470.387235
370.5698760.8602480.430124
380.5266850.946630.473315
390.4960440.9920870.503956
400.4631930.9263860.536807
410.4432130.8864260.556787
420.3995760.7991530.600424
430.3737630.7475250.626237
440.3564910.7129820.643509
450.4906550.981310.509345
460.5026870.9946250.497313
470.485380.9707610.51462
480.5307380.9385230.469262
490.5350480.9299040.464952
500.5710190.8579620.428981
510.5422010.9155980.457799
520.7281780.5436450.271822
530.7020740.5958520.297926
540.6740180.6519650.325982
550.6417870.7164260.358213
560.6135290.7729430.386471
570.5750360.8499280.424964
580.5369160.9261680.463084
590.6657110.6685780.334289
600.6547780.6904430.345222
610.6409130.7181750.359087
620.6289880.7420240.371012
630.605680.7886390.39432
640.7167520.5664960.283248
650.7507090.4985810.249291
660.7941490.4117020.205851
670.8101590.3796820.189841
680.8860850.227830.113915
690.9148160.1703680.0851839
700.9023990.1952020.0976009
710.9112120.1775750.0887875
720.8969330.2061340.103067
730.9184990.1630020.081501
740.9215230.1569550.0784773
750.9124610.1750780.0875392
760.9146640.1706730.0853364
770.901930.1961390.0980695
780.8945210.2109570.105479
790.8997210.2005580.100279
800.8883230.2233540.111677
810.8823390.2353210.117661
820.867620.2647590.13238
830.8673530.2652950.132647
840.8642090.2715820.135791
850.8449860.3100280.155014
860.8339190.3321620.166081
870.8515420.2969150.148458
880.8729150.2541710.127085
890.8708580.2582840.129142
900.8542240.2915530.145776
910.8697390.2605210.130261
920.8503480.2993040.149652
930.8327990.3344020.167201
940.8146480.3707050.185352
950.8010430.3979140.198957
960.7802680.4394630.219732
970.7556960.4886080.244304
980.7431660.5136680.256834
990.7246080.5507840.275392
1000.7033550.5932910.296645
1010.7336620.5326760.266338
1020.7180230.5639530.281977
1030.69660.60680.3034
1040.6689160.6621670.331084
1050.6512790.6974410.348721
1060.6280490.7439020.371951
1070.6096020.7807970.390398
1080.5891580.8216840.410842
1090.670810.6583810.32919
1100.6531780.6936450.346822
1110.6236460.7527090.376354
1120.6054320.7891350.394568
1130.6885950.6228110.311405
1140.7147090.5705830.285291
1150.7087630.5824730.291237
1160.7036670.5926660.296333
1170.6757380.6485250.324262
1180.7000920.5998150.299908
1190.7778780.4442440.222122
1200.7765130.4469740.223487
1210.7773030.4453940.222697
1220.7955080.4089840.204492
1230.785650.4287010.21435
1240.8638890.2722210.136111
1250.84890.30220.1511
1260.8294760.3410490.170524
1270.8178910.3642190.182109
1280.79970.40060.2003
1290.7783230.4433540.221677
1300.7571850.4856290.242815
1310.7302960.5394090.269704
1320.7426620.5146760.257338
1330.7153820.5692360.284618
1340.6893770.6212460.310623
1350.6833140.6333720.316686
1360.6876470.6247060.312353
1370.6581120.6837760.341888
1380.7622710.4754570.237729
1390.755760.488480.24424
1400.7295130.5409740.270487
1410.7302570.5394850.269743
1420.7519280.4961430.248072
1430.7489850.5020290.251015
1440.7254280.5491450.274572
1450.7192850.5614310.280715
1460.7076390.5847220.292361
1470.680430.6391410.31957
1480.6509350.6981290.349065
1490.6254480.7491040.374552
1500.6614830.6770340.338517
1510.6948820.6102370.305118
1520.6656620.6686760.334338
1530.6693850.6612310.330615
1540.721780.5564410.27822
1550.7440970.5118050.255903
1560.7344320.5311360.265568
1570.7495740.5008530.250426
1580.7232780.5534440.276722
1590.6954610.6090780.304539
1600.686380.627240.31362
1610.6567240.6865520.343276
1620.6421420.7157160.357858
1630.6913590.6172820.308641
1640.88060.23880.1194
1650.8895480.2209050.110452
1660.9145470.1709070.0854534
1670.9020860.1958290.0979143
1680.8895690.2208610.110431
1690.8761510.2476970.123849
1700.8712190.2575610.128781
1710.8576610.2846790.142339
1720.8374470.3251070.162553
1730.8285310.3429370.171469
1740.8459850.3080290.154015
1750.8641120.2717770.135888
1760.8446420.3107160.155358
1770.8238290.3523430.176171
1780.8499240.3001510.150076
1790.8506650.2986710.149335
1800.8765880.2468240.123412
1810.8633950.2732110.136605
1820.8469170.3061660.153083
1830.8582280.2835430.141772
1840.8383890.3232230.161611
1850.8494590.3010830.150541
1860.8278790.3442430.172121
1870.8046320.3907360.195368
1880.7791590.4416810.220841
1890.7517160.4965670.248284
1900.7664680.4670640.233532
1910.780110.4397790.21989
1920.7527390.4945220.247261
1930.7648940.4702120.235106
1940.7358280.5283440.264172
1950.7209730.5580540.279027
1960.722280.5554390.27772
1970.7379310.5241370.262069
1980.7141280.5717430.285872
1990.6997220.6005560.300278
2000.6667580.6664840.333242
2010.8782870.2434270.121713
2020.883280.2334390.11672
2030.8778810.2442380.122119
2040.8597040.2805920.140296
2050.8399150.3201710.160085
2060.843850.3122990.15615
2070.8854780.2290440.114522
2080.8969070.2061870.103093
2090.8864770.2270450.113523
2100.8664250.267150.133575
2110.9063760.1872490.0936244
2120.9110630.1778740.0889368
2130.8934090.2131830.106591
2140.8882220.2235560.111778
2150.8960750.207850.103925
2160.8763420.2473170.123658
2170.8541580.2916840.145842
2180.8994360.2011270.100564
2190.9109660.1780670.0890335
2200.8928850.2142310.107115
2210.8897120.2205760.110288
2220.9207570.1584850.0792426
2230.9036480.1927050.0963523
2240.8929630.2140750.107037
2250.9259410.1481170.0740586
2260.9351380.1297240.0648621
2270.9303310.1393370.0696687
2280.9198310.1603370.0801687
2290.9033140.1933720.0966858
2300.9130680.1738650.0869325
2310.9435280.1129430.0564717
2320.9457140.1085730.0542864
2330.9353620.1292750.0646376
2340.9653190.0693630.0346815
2350.9550980.08980350.0449018
2360.9671660.06566760.0328338
2370.9785330.04293310.0214666
2380.9802330.03953490.0197675
2390.9796670.04066590.0203329
2400.9750460.04990770.0249539
2410.9659260.06814730.0340736
2420.9660630.06787370.0339369
2430.954130.09174010.0458701
2440.9766440.04671210.0233561
2450.9688070.06238640.0311932
2460.9578730.08425330.0421266
2470.985210.02957990.0147899
2480.9830090.03398150.0169908
2490.9795280.04094320.0204716
2500.9789280.04214480.0210724
2510.9839750.03205080.0160254
2520.9772670.04546540.0227327
2530.9664390.0671220.033561
2540.9523510.09529820.0476491
2550.9946740.01065280.0053264
2560.9919430.01611440.00805718
2570.9914760.01704810.00852403
2580.9864290.02714210.013571
2590.9789720.04205520.0210276
2600.9759880.04802480.0240124
2610.9859420.02811690.0140584
2620.9755330.04893470.0244673
2630.9602440.07951290.0397564
2640.9344910.1310180.0655088
2650.8989340.2021320.101066
2660.8935710.2128570.106429
2670.8358150.3283710.164185
2680.7545250.490950.245475
2690.6464530.7070940.353547
2700.8066480.3867040.193352
2710.7176010.5647990.282399
2720.6398570.7202850.360143

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
6 & 0.23584 & 0.47168 & 0.76416 \tabularnewline
7 & 0.447166 & 0.894331 & 0.552834 \tabularnewline
8 & 0.380478 & 0.760955 & 0.619522 \tabularnewline
9 & 0.284186 & 0.568373 & 0.715814 \tabularnewline
10 & 0.333483 & 0.666965 & 0.666517 \tabularnewline
11 & 0.245268 & 0.490536 & 0.754732 \tabularnewline
12 & 0.168948 & 0.337896 & 0.831052 \tabularnewline
13 & 0.176876 & 0.353752 & 0.823124 \tabularnewline
14 & 0.142021 & 0.284041 & 0.857979 \tabularnewline
15 & 0.598925 & 0.80215 & 0.401075 \tabularnewline
16 & 0.646757 & 0.706486 & 0.353243 \tabularnewline
17 & 0.59532 & 0.809361 & 0.40468 \tabularnewline
18 & 0.534173 & 0.931653 & 0.465827 \tabularnewline
19 & 0.463021 & 0.926041 & 0.536979 \tabularnewline
20 & 0.399925 & 0.799851 & 0.600075 \tabularnewline
21 & 0.342056 & 0.684112 & 0.657944 \tabularnewline
22 & 0.283153 & 0.566306 & 0.716847 \tabularnewline
23 & 0.501412 & 0.997176 & 0.498588 \tabularnewline
24 & 0.522936 & 0.954128 & 0.477064 \tabularnewline
25 & 0.462119 & 0.924239 & 0.537881 \tabularnewline
26 & 0.756451 & 0.487097 & 0.243549 \tabularnewline
27 & 0.711064 & 0.577873 & 0.288936 \tabularnewline
28 & 0.759319 & 0.481362 & 0.240681 \tabularnewline
29 & 0.715918 & 0.568163 & 0.284082 \tabularnewline
30 & 0.671929 & 0.656141 & 0.328071 \tabularnewline
31 & 0.709111 & 0.581777 & 0.290889 \tabularnewline
32 & 0.667863 & 0.664274 & 0.332137 \tabularnewline
33 & 0.625214 & 0.749573 & 0.374786 \tabularnewline
34 & 0.592046 & 0.815908 & 0.407954 \tabularnewline
35 & 0.59025 & 0.8195 & 0.40975 \tabularnewline
36 & 0.612765 & 0.77447 & 0.387235 \tabularnewline
37 & 0.569876 & 0.860248 & 0.430124 \tabularnewline
38 & 0.526685 & 0.94663 & 0.473315 \tabularnewline
39 & 0.496044 & 0.992087 & 0.503956 \tabularnewline
40 & 0.463193 & 0.926386 & 0.536807 \tabularnewline
41 & 0.443213 & 0.886426 & 0.556787 \tabularnewline
42 & 0.399576 & 0.799153 & 0.600424 \tabularnewline
43 & 0.373763 & 0.747525 & 0.626237 \tabularnewline
44 & 0.356491 & 0.712982 & 0.643509 \tabularnewline
45 & 0.490655 & 0.98131 & 0.509345 \tabularnewline
46 & 0.502687 & 0.994625 & 0.497313 \tabularnewline
47 & 0.48538 & 0.970761 & 0.51462 \tabularnewline
48 & 0.530738 & 0.938523 & 0.469262 \tabularnewline
49 & 0.535048 & 0.929904 & 0.464952 \tabularnewline
50 & 0.571019 & 0.857962 & 0.428981 \tabularnewline
51 & 0.542201 & 0.915598 & 0.457799 \tabularnewline
52 & 0.728178 & 0.543645 & 0.271822 \tabularnewline
53 & 0.702074 & 0.595852 & 0.297926 \tabularnewline
54 & 0.674018 & 0.651965 & 0.325982 \tabularnewline
55 & 0.641787 & 0.716426 & 0.358213 \tabularnewline
56 & 0.613529 & 0.772943 & 0.386471 \tabularnewline
57 & 0.575036 & 0.849928 & 0.424964 \tabularnewline
58 & 0.536916 & 0.926168 & 0.463084 \tabularnewline
59 & 0.665711 & 0.668578 & 0.334289 \tabularnewline
60 & 0.654778 & 0.690443 & 0.345222 \tabularnewline
61 & 0.640913 & 0.718175 & 0.359087 \tabularnewline
62 & 0.628988 & 0.742024 & 0.371012 \tabularnewline
63 & 0.60568 & 0.788639 & 0.39432 \tabularnewline
64 & 0.716752 & 0.566496 & 0.283248 \tabularnewline
65 & 0.750709 & 0.498581 & 0.249291 \tabularnewline
66 & 0.794149 & 0.411702 & 0.205851 \tabularnewline
67 & 0.810159 & 0.379682 & 0.189841 \tabularnewline
68 & 0.886085 & 0.22783 & 0.113915 \tabularnewline
69 & 0.914816 & 0.170368 & 0.0851839 \tabularnewline
70 & 0.902399 & 0.195202 & 0.0976009 \tabularnewline
71 & 0.911212 & 0.177575 & 0.0887875 \tabularnewline
72 & 0.896933 & 0.206134 & 0.103067 \tabularnewline
73 & 0.918499 & 0.163002 & 0.081501 \tabularnewline
74 & 0.921523 & 0.156955 & 0.0784773 \tabularnewline
75 & 0.912461 & 0.175078 & 0.0875392 \tabularnewline
76 & 0.914664 & 0.170673 & 0.0853364 \tabularnewline
77 & 0.90193 & 0.196139 & 0.0980695 \tabularnewline
78 & 0.894521 & 0.210957 & 0.105479 \tabularnewline
79 & 0.899721 & 0.200558 & 0.100279 \tabularnewline
80 & 0.888323 & 0.223354 & 0.111677 \tabularnewline
81 & 0.882339 & 0.235321 & 0.117661 \tabularnewline
82 & 0.86762 & 0.264759 & 0.13238 \tabularnewline
83 & 0.867353 & 0.265295 & 0.132647 \tabularnewline
84 & 0.864209 & 0.271582 & 0.135791 \tabularnewline
85 & 0.844986 & 0.310028 & 0.155014 \tabularnewline
86 & 0.833919 & 0.332162 & 0.166081 \tabularnewline
87 & 0.851542 & 0.296915 & 0.148458 \tabularnewline
88 & 0.872915 & 0.254171 & 0.127085 \tabularnewline
89 & 0.870858 & 0.258284 & 0.129142 \tabularnewline
90 & 0.854224 & 0.291553 & 0.145776 \tabularnewline
91 & 0.869739 & 0.260521 & 0.130261 \tabularnewline
92 & 0.850348 & 0.299304 & 0.149652 \tabularnewline
93 & 0.832799 & 0.334402 & 0.167201 \tabularnewline
94 & 0.814648 & 0.370705 & 0.185352 \tabularnewline
95 & 0.801043 & 0.397914 & 0.198957 \tabularnewline
96 & 0.780268 & 0.439463 & 0.219732 \tabularnewline
97 & 0.755696 & 0.488608 & 0.244304 \tabularnewline
98 & 0.743166 & 0.513668 & 0.256834 \tabularnewline
99 & 0.724608 & 0.550784 & 0.275392 \tabularnewline
100 & 0.703355 & 0.593291 & 0.296645 \tabularnewline
101 & 0.733662 & 0.532676 & 0.266338 \tabularnewline
102 & 0.718023 & 0.563953 & 0.281977 \tabularnewline
103 & 0.6966 & 0.6068 & 0.3034 \tabularnewline
104 & 0.668916 & 0.662167 & 0.331084 \tabularnewline
105 & 0.651279 & 0.697441 & 0.348721 \tabularnewline
106 & 0.628049 & 0.743902 & 0.371951 \tabularnewline
107 & 0.609602 & 0.780797 & 0.390398 \tabularnewline
108 & 0.589158 & 0.821684 & 0.410842 \tabularnewline
109 & 0.67081 & 0.658381 & 0.32919 \tabularnewline
110 & 0.653178 & 0.693645 & 0.346822 \tabularnewline
111 & 0.623646 & 0.752709 & 0.376354 \tabularnewline
112 & 0.605432 & 0.789135 & 0.394568 \tabularnewline
113 & 0.688595 & 0.622811 & 0.311405 \tabularnewline
114 & 0.714709 & 0.570583 & 0.285291 \tabularnewline
115 & 0.708763 & 0.582473 & 0.291237 \tabularnewline
116 & 0.703667 & 0.592666 & 0.296333 \tabularnewline
117 & 0.675738 & 0.648525 & 0.324262 \tabularnewline
118 & 0.700092 & 0.599815 & 0.299908 \tabularnewline
119 & 0.777878 & 0.444244 & 0.222122 \tabularnewline
120 & 0.776513 & 0.446974 & 0.223487 \tabularnewline
121 & 0.777303 & 0.445394 & 0.222697 \tabularnewline
122 & 0.795508 & 0.408984 & 0.204492 \tabularnewline
123 & 0.78565 & 0.428701 & 0.21435 \tabularnewline
124 & 0.863889 & 0.272221 & 0.136111 \tabularnewline
125 & 0.8489 & 0.3022 & 0.1511 \tabularnewline
126 & 0.829476 & 0.341049 & 0.170524 \tabularnewline
127 & 0.817891 & 0.364219 & 0.182109 \tabularnewline
128 & 0.7997 & 0.4006 & 0.2003 \tabularnewline
129 & 0.778323 & 0.443354 & 0.221677 \tabularnewline
130 & 0.757185 & 0.485629 & 0.242815 \tabularnewline
131 & 0.730296 & 0.539409 & 0.269704 \tabularnewline
132 & 0.742662 & 0.514676 & 0.257338 \tabularnewline
133 & 0.715382 & 0.569236 & 0.284618 \tabularnewline
134 & 0.689377 & 0.621246 & 0.310623 \tabularnewline
135 & 0.683314 & 0.633372 & 0.316686 \tabularnewline
136 & 0.687647 & 0.624706 & 0.312353 \tabularnewline
137 & 0.658112 & 0.683776 & 0.341888 \tabularnewline
138 & 0.762271 & 0.475457 & 0.237729 \tabularnewline
139 & 0.75576 & 0.48848 & 0.24424 \tabularnewline
140 & 0.729513 & 0.540974 & 0.270487 \tabularnewline
141 & 0.730257 & 0.539485 & 0.269743 \tabularnewline
142 & 0.751928 & 0.496143 & 0.248072 \tabularnewline
143 & 0.748985 & 0.502029 & 0.251015 \tabularnewline
144 & 0.725428 & 0.549145 & 0.274572 \tabularnewline
145 & 0.719285 & 0.561431 & 0.280715 \tabularnewline
146 & 0.707639 & 0.584722 & 0.292361 \tabularnewline
147 & 0.68043 & 0.639141 & 0.31957 \tabularnewline
148 & 0.650935 & 0.698129 & 0.349065 \tabularnewline
149 & 0.625448 & 0.749104 & 0.374552 \tabularnewline
150 & 0.661483 & 0.677034 & 0.338517 \tabularnewline
151 & 0.694882 & 0.610237 & 0.305118 \tabularnewline
152 & 0.665662 & 0.668676 & 0.334338 \tabularnewline
153 & 0.669385 & 0.661231 & 0.330615 \tabularnewline
154 & 0.72178 & 0.556441 & 0.27822 \tabularnewline
155 & 0.744097 & 0.511805 & 0.255903 \tabularnewline
156 & 0.734432 & 0.531136 & 0.265568 \tabularnewline
157 & 0.749574 & 0.500853 & 0.250426 \tabularnewline
158 & 0.723278 & 0.553444 & 0.276722 \tabularnewline
159 & 0.695461 & 0.609078 & 0.304539 \tabularnewline
160 & 0.68638 & 0.62724 & 0.31362 \tabularnewline
161 & 0.656724 & 0.686552 & 0.343276 \tabularnewline
162 & 0.642142 & 0.715716 & 0.357858 \tabularnewline
163 & 0.691359 & 0.617282 & 0.308641 \tabularnewline
164 & 0.8806 & 0.2388 & 0.1194 \tabularnewline
165 & 0.889548 & 0.220905 & 0.110452 \tabularnewline
166 & 0.914547 & 0.170907 & 0.0854534 \tabularnewline
167 & 0.902086 & 0.195829 & 0.0979143 \tabularnewline
168 & 0.889569 & 0.220861 & 0.110431 \tabularnewline
169 & 0.876151 & 0.247697 & 0.123849 \tabularnewline
170 & 0.871219 & 0.257561 & 0.128781 \tabularnewline
171 & 0.857661 & 0.284679 & 0.142339 \tabularnewline
172 & 0.837447 & 0.325107 & 0.162553 \tabularnewline
173 & 0.828531 & 0.342937 & 0.171469 \tabularnewline
174 & 0.845985 & 0.308029 & 0.154015 \tabularnewline
175 & 0.864112 & 0.271777 & 0.135888 \tabularnewline
176 & 0.844642 & 0.310716 & 0.155358 \tabularnewline
177 & 0.823829 & 0.352343 & 0.176171 \tabularnewline
178 & 0.849924 & 0.300151 & 0.150076 \tabularnewline
179 & 0.850665 & 0.298671 & 0.149335 \tabularnewline
180 & 0.876588 & 0.246824 & 0.123412 \tabularnewline
181 & 0.863395 & 0.273211 & 0.136605 \tabularnewline
182 & 0.846917 & 0.306166 & 0.153083 \tabularnewline
183 & 0.858228 & 0.283543 & 0.141772 \tabularnewline
184 & 0.838389 & 0.323223 & 0.161611 \tabularnewline
185 & 0.849459 & 0.301083 & 0.150541 \tabularnewline
186 & 0.827879 & 0.344243 & 0.172121 \tabularnewline
187 & 0.804632 & 0.390736 & 0.195368 \tabularnewline
188 & 0.779159 & 0.441681 & 0.220841 \tabularnewline
189 & 0.751716 & 0.496567 & 0.248284 \tabularnewline
190 & 0.766468 & 0.467064 & 0.233532 \tabularnewline
191 & 0.78011 & 0.439779 & 0.21989 \tabularnewline
192 & 0.752739 & 0.494522 & 0.247261 \tabularnewline
193 & 0.764894 & 0.470212 & 0.235106 \tabularnewline
194 & 0.735828 & 0.528344 & 0.264172 \tabularnewline
195 & 0.720973 & 0.558054 & 0.279027 \tabularnewline
196 & 0.72228 & 0.555439 & 0.27772 \tabularnewline
197 & 0.737931 & 0.524137 & 0.262069 \tabularnewline
198 & 0.714128 & 0.571743 & 0.285872 \tabularnewline
199 & 0.699722 & 0.600556 & 0.300278 \tabularnewline
200 & 0.666758 & 0.666484 & 0.333242 \tabularnewline
201 & 0.878287 & 0.243427 & 0.121713 \tabularnewline
202 & 0.88328 & 0.233439 & 0.11672 \tabularnewline
203 & 0.877881 & 0.244238 & 0.122119 \tabularnewline
204 & 0.859704 & 0.280592 & 0.140296 \tabularnewline
205 & 0.839915 & 0.320171 & 0.160085 \tabularnewline
206 & 0.84385 & 0.312299 & 0.15615 \tabularnewline
207 & 0.885478 & 0.229044 & 0.114522 \tabularnewline
208 & 0.896907 & 0.206187 & 0.103093 \tabularnewline
209 & 0.886477 & 0.227045 & 0.113523 \tabularnewline
210 & 0.866425 & 0.26715 & 0.133575 \tabularnewline
211 & 0.906376 & 0.187249 & 0.0936244 \tabularnewline
212 & 0.911063 & 0.177874 & 0.0889368 \tabularnewline
213 & 0.893409 & 0.213183 & 0.106591 \tabularnewline
214 & 0.888222 & 0.223556 & 0.111778 \tabularnewline
215 & 0.896075 & 0.20785 & 0.103925 \tabularnewline
216 & 0.876342 & 0.247317 & 0.123658 \tabularnewline
217 & 0.854158 & 0.291684 & 0.145842 \tabularnewline
218 & 0.899436 & 0.201127 & 0.100564 \tabularnewline
219 & 0.910966 & 0.178067 & 0.0890335 \tabularnewline
220 & 0.892885 & 0.214231 & 0.107115 \tabularnewline
221 & 0.889712 & 0.220576 & 0.110288 \tabularnewline
222 & 0.920757 & 0.158485 & 0.0792426 \tabularnewline
223 & 0.903648 & 0.192705 & 0.0963523 \tabularnewline
224 & 0.892963 & 0.214075 & 0.107037 \tabularnewline
225 & 0.925941 & 0.148117 & 0.0740586 \tabularnewline
226 & 0.935138 & 0.129724 & 0.0648621 \tabularnewline
227 & 0.930331 & 0.139337 & 0.0696687 \tabularnewline
228 & 0.919831 & 0.160337 & 0.0801687 \tabularnewline
229 & 0.903314 & 0.193372 & 0.0966858 \tabularnewline
230 & 0.913068 & 0.173865 & 0.0869325 \tabularnewline
231 & 0.943528 & 0.112943 & 0.0564717 \tabularnewline
232 & 0.945714 & 0.108573 & 0.0542864 \tabularnewline
233 & 0.935362 & 0.129275 & 0.0646376 \tabularnewline
234 & 0.965319 & 0.069363 & 0.0346815 \tabularnewline
235 & 0.955098 & 0.0898035 & 0.0449018 \tabularnewline
236 & 0.967166 & 0.0656676 & 0.0328338 \tabularnewline
237 & 0.978533 & 0.0429331 & 0.0214666 \tabularnewline
238 & 0.980233 & 0.0395349 & 0.0197675 \tabularnewline
239 & 0.979667 & 0.0406659 & 0.0203329 \tabularnewline
240 & 0.975046 & 0.0499077 & 0.0249539 \tabularnewline
241 & 0.965926 & 0.0681473 & 0.0340736 \tabularnewline
242 & 0.966063 & 0.0678737 & 0.0339369 \tabularnewline
243 & 0.95413 & 0.0917401 & 0.0458701 \tabularnewline
244 & 0.976644 & 0.0467121 & 0.0233561 \tabularnewline
245 & 0.968807 & 0.0623864 & 0.0311932 \tabularnewline
246 & 0.957873 & 0.0842533 & 0.0421266 \tabularnewline
247 & 0.98521 & 0.0295799 & 0.0147899 \tabularnewline
248 & 0.983009 & 0.0339815 & 0.0169908 \tabularnewline
249 & 0.979528 & 0.0409432 & 0.0204716 \tabularnewline
250 & 0.978928 & 0.0421448 & 0.0210724 \tabularnewline
251 & 0.983975 & 0.0320508 & 0.0160254 \tabularnewline
252 & 0.977267 & 0.0454654 & 0.0227327 \tabularnewline
253 & 0.966439 & 0.067122 & 0.033561 \tabularnewline
254 & 0.952351 & 0.0952982 & 0.0476491 \tabularnewline
255 & 0.994674 & 0.0106528 & 0.0053264 \tabularnewline
256 & 0.991943 & 0.0161144 & 0.00805718 \tabularnewline
257 & 0.991476 & 0.0170481 & 0.00852403 \tabularnewline
258 & 0.986429 & 0.0271421 & 0.013571 \tabularnewline
259 & 0.978972 & 0.0420552 & 0.0210276 \tabularnewline
260 & 0.975988 & 0.0480248 & 0.0240124 \tabularnewline
261 & 0.985942 & 0.0281169 & 0.0140584 \tabularnewline
262 & 0.975533 & 0.0489347 & 0.0244673 \tabularnewline
263 & 0.960244 & 0.0795129 & 0.0397564 \tabularnewline
264 & 0.934491 & 0.131018 & 0.0655088 \tabularnewline
265 & 0.898934 & 0.202132 & 0.101066 \tabularnewline
266 & 0.893571 & 0.212857 & 0.106429 \tabularnewline
267 & 0.835815 & 0.328371 & 0.164185 \tabularnewline
268 & 0.754525 & 0.49095 & 0.245475 \tabularnewline
269 & 0.646453 & 0.707094 & 0.353547 \tabularnewline
270 & 0.806648 & 0.386704 & 0.193352 \tabularnewline
271 & 0.717601 & 0.564799 & 0.282399 \tabularnewline
272 & 0.639857 & 0.720285 & 0.360143 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267340&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]6[/C][C]0.23584[/C][C]0.47168[/C][C]0.76416[/C][/ROW]
[ROW][C]7[/C][C]0.447166[/C][C]0.894331[/C][C]0.552834[/C][/ROW]
[ROW][C]8[/C][C]0.380478[/C][C]0.760955[/C][C]0.619522[/C][/ROW]
[ROW][C]9[/C][C]0.284186[/C][C]0.568373[/C][C]0.715814[/C][/ROW]
[ROW][C]10[/C][C]0.333483[/C][C]0.666965[/C][C]0.666517[/C][/ROW]
[ROW][C]11[/C][C]0.245268[/C][C]0.490536[/C][C]0.754732[/C][/ROW]
[ROW][C]12[/C][C]0.168948[/C][C]0.337896[/C][C]0.831052[/C][/ROW]
[ROW][C]13[/C][C]0.176876[/C][C]0.353752[/C][C]0.823124[/C][/ROW]
[ROW][C]14[/C][C]0.142021[/C][C]0.284041[/C][C]0.857979[/C][/ROW]
[ROW][C]15[/C][C]0.598925[/C][C]0.80215[/C][C]0.401075[/C][/ROW]
[ROW][C]16[/C][C]0.646757[/C][C]0.706486[/C][C]0.353243[/C][/ROW]
[ROW][C]17[/C][C]0.59532[/C][C]0.809361[/C][C]0.40468[/C][/ROW]
[ROW][C]18[/C][C]0.534173[/C][C]0.931653[/C][C]0.465827[/C][/ROW]
[ROW][C]19[/C][C]0.463021[/C][C]0.926041[/C][C]0.536979[/C][/ROW]
[ROW][C]20[/C][C]0.399925[/C][C]0.799851[/C][C]0.600075[/C][/ROW]
[ROW][C]21[/C][C]0.342056[/C][C]0.684112[/C][C]0.657944[/C][/ROW]
[ROW][C]22[/C][C]0.283153[/C][C]0.566306[/C][C]0.716847[/C][/ROW]
[ROW][C]23[/C][C]0.501412[/C][C]0.997176[/C][C]0.498588[/C][/ROW]
[ROW][C]24[/C][C]0.522936[/C][C]0.954128[/C][C]0.477064[/C][/ROW]
[ROW][C]25[/C][C]0.462119[/C][C]0.924239[/C][C]0.537881[/C][/ROW]
[ROW][C]26[/C][C]0.756451[/C][C]0.487097[/C][C]0.243549[/C][/ROW]
[ROW][C]27[/C][C]0.711064[/C][C]0.577873[/C][C]0.288936[/C][/ROW]
[ROW][C]28[/C][C]0.759319[/C][C]0.481362[/C][C]0.240681[/C][/ROW]
[ROW][C]29[/C][C]0.715918[/C][C]0.568163[/C][C]0.284082[/C][/ROW]
[ROW][C]30[/C][C]0.671929[/C][C]0.656141[/C][C]0.328071[/C][/ROW]
[ROW][C]31[/C][C]0.709111[/C][C]0.581777[/C][C]0.290889[/C][/ROW]
[ROW][C]32[/C][C]0.667863[/C][C]0.664274[/C][C]0.332137[/C][/ROW]
[ROW][C]33[/C][C]0.625214[/C][C]0.749573[/C][C]0.374786[/C][/ROW]
[ROW][C]34[/C][C]0.592046[/C][C]0.815908[/C][C]0.407954[/C][/ROW]
[ROW][C]35[/C][C]0.59025[/C][C]0.8195[/C][C]0.40975[/C][/ROW]
[ROW][C]36[/C][C]0.612765[/C][C]0.77447[/C][C]0.387235[/C][/ROW]
[ROW][C]37[/C][C]0.569876[/C][C]0.860248[/C][C]0.430124[/C][/ROW]
[ROW][C]38[/C][C]0.526685[/C][C]0.94663[/C][C]0.473315[/C][/ROW]
[ROW][C]39[/C][C]0.496044[/C][C]0.992087[/C][C]0.503956[/C][/ROW]
[ROW][C]40[/C][C]0.463193[/C][C]0.926386[/C][C]0.536807[/C][/ROW]
[ROW][C]41[/C][C]0.443213[/C][C]0.886426[/C][C]0.556787[/C][/ROW]
[ROW][C]42[/C][C]0.399576[/C][C]0.799153[/C][C]0.600424[/C][/ROW]
[ROW][C]43[/C][C]0.373763[/C][C]0.747525[/C][C]0.626237[/C][/ROW]
[ROW][C]44[/C][C]0.356491[/C][C]0.712982[/C][C]0.643509[/C][/ROW]
[ROW][C]45[/C][C]0.490655[/C][C]0.98131[/C][C]0.509345[/C][/ROW]
[ROW][C]46[/C][C]0.502687[/C][C]0.994625[/C][C]0.497313[/C][/ROW]
[ROW][C]47[/C][C]0.48538[/C][C]0.970761[/C][C]0.51462[/C][/ROW]
[ROW][C]48[/C][C]0.530738[/C][C]0.938523[/C][C]0.469262[/C][/ROW]
[ROW][C]49[/C][C]0.535048[/C][C]0.929904[/C][C]0.464952[/C][/ROW]
[ROW][C]50[/C][C]0.571019[/C][C]0.857962[/C][C]0.428981[/C][/ROW]
[ROW][C]51[/C][C]0.542201[/C][C]0.915598[/C][C]0.457799[/C][/ROW]
[ROW][C]52[/C][C]0.728178[/C][C]0.543645[/C][C]0.271822[/C][/ROW]
[ROW][C]53[/C][C]0.702074[/C][C]0.595852[/C][C]0.297926[/C][/ROW]
[ROW][C]54[/C][C]0.674018[/C][C]0.651965[/C][C]0.325982[/C][/ROW]
[ROW][C]55[/C][C]0.641787[/C][C]0.716426[/C][C]0.358213[/C][/ROW]
[ROW][C]56[/C][C]0.613529[/C][C]0.772943[/C][C]0.386471[/C][/ROW]
[ROW][C]57[/C][C]0.575036[/C][C]0.849928[/C][C]0.424964[/C][/ROW]
[ROW][C]58[/C][C]0.536916[/C][C]0.926168[/C][C]0.463084[/C][/ROW]
[ROW][C]59[/C][C]0.665711[/C][C]0.668578[/C][C]0.334289[/C][/ROW]
[ROW][C]60[/C][C]0.654778[/C][C]0.690443[/C][C]0.345222[/C][/ROW]
[ROW][C]61[/C][C]0.640913[/C][C]0.718175[/C][C]0.359087[/C][/ROW]
[ROW][C]62[/C][C]0.628988[/C][C]0.742024[/C][C]0.371012[/C][/ROW]
[ROW][C]63[/C][C]0.60568[/C][C]0.788639[/C][C]0.39432[/C][/ROW]
[ROW][C]64[/C][C]0.716752[/C][C]0.566496[/C][C]0.283248[/C][/ROW]
[ROW][C]65[/C][C]0.750709[/C][C]0.498581[/C][C]0.249291[/C][/ROW]
[ROW][C]66[/C][C]0.794149[/C][C]0.411702[/C][C]0.205851[/C][/ROW]
[ROW][C]67[/C][C]0.810159[/C][C]0.379682[/C][C]0.189841[/C][/ROW]
[ROW][C]68[/C][C]0.886085[/C][C]0.22783[/C][C]0.113915[/C][/ROW]
[ROW][C]69[/C][C]0.914816[/C][C]0.170368[/C][C]0.0851839[/C][/ROW]
[ROW][C]70[/C][C]0.902399[/C][C]0.195202[/C][C]0.0976009[/C][/ROW]
[ROW][C]71[/C][C]0.911212[/C][C]0.177575[/C][C]0.0887875[/C][/ROW]
[ROW][C]72[/C][C]0.896933[/C][C]0.206134[/C][C]0.103067[/C][/ROW]
[ROW][C]73[/C][C]0.918499[/C][C]0.163002[/C][C]0.081501[/C][/ROW]
[ROW][C]74[/C][C]0.921523[/C][C]0.156955[/C][C]0.0784773[/C][/ROW]
[ROW][C]75[/C][C]0.912461[/C][C]0.175078[/C][C]0.0875392[/C][/ROW]
[ROW][C]76[/C][C]0.914664[/C][C]0.170673[/C][C]0.0853364[/C][/ROW]
[ROW][C]77[/C][C]0.90193[/C][C]0.196139[/C][C]0.0980695[/C][/ROW]
[ROW][C]78[/C][C]0.894521[/C][C]0.210957[/C][C]0.105479[/C][/ROW]
[ROW][C]79[/C][C]0.899721[/C][C]0.200558[/C][C]0.100279[/C][/ROW]
[ROW][C]80[/C][C]0.888323[/C][C]0.223354[/C][C]0.111677[/C][/ROW]
[ROW][C]81[/C][C]0.882339[/C][C]0.235321[/C][C]0.117661[/C][/ROW]
[ROW][C]82[/C][C]0.86762[/C][C]0.264759[/C][C]0.13238[/C][/ROW]
[ROW][C]83[/C][C]0.867353[/C][C]0.265295[/C][C]0.132647[/C][/ROW]
[ROW][C]84[/C][C]0.864209[/C][C]0.271582[/C][C]0.135791[/C][/ROW]
[ROW][C]85[/C][C]0.844986[/C][C]0.310028[/C][C]0.155014[/C][/ROW]
[ROW][C]86[/C][C]0.833919[/C][C]0.332162[/C][C]0.166081[/C][/ROW]
[ROW][C]87[/C][C]0.851542[/C][C]0.296915[/C][C]0.148458[/C][/ROW]
[ROW][C]88[/C][C]0.872915[/C][C]0.254171[/C][C]0.127085[/C][/ROW]
[ROW][C]89[/C][C]0.870858[/C][C]0.258284[/C][C]0.129142[/C][/ROW]
[ROW][C]90[/C][C]0.854224[/C][C]0.291553[/C][C]0.145776[/C][/ROW]
[ROW][C]91[/C][C]0.869739[/C][C]0.260521[/C][C]0.130261[/C][/ROW]
[ROW][C]92[/C][C]0.850348[/C][C]0.299304[/C][C]0.149652[/C][/ROW]
[ROW][C]93[/C][C]0.832799[/C][C]0.334402[/C][C]0.167201[/C][/ROW]
[ROW][C]94[/C][C]0.814648[/C][C]0.370705[/C][C]0.185352[/C][/ROW]
[ROW][C]95[/C][C]0.801043[/C][C]0.397914[/C][C]0.198957[/C][/ROW]
[ROW][C]96[/C][C]0.780268[/C][C]0.439463[/C][C]0.219732[/C][/ROW]
[ROW][C]97[/C][C]0.755696[/C][C]0.488608[/C][C]0.244304[/C][/ROW]
[ROW][C]98[/C][C]0.743166[/C][C]0.513668[/C][C]0.256834[/C][/ROW]
[ROW][C]99[/C][C]0.724608[/C][C]0.550784[/C][C]0.275392[/C][/ROW]
[ROW][C]100[/C][C]0.703355[/C][C]0.593291[/C][C]0.296645[/C][/ROW]
[ROW][C]101[/C][C]0.733662[/C][C]0.532676[/C][C]0.266338[/C][/ROW]
[ROW][C]102[/C][C]0.718023[/C][C]0.563953[/C][C]0.281977[/C][/ROW]
[ROW][C]103[/C][C]0.6966[/C][C]0.6068[/C][C]0.3034[/C][/ROW]
[ROW][C]104[/C][C]0.668916[/C][C]0.662167[/C][C]0.331084[/C][/ROW]
[ROW][C]105[/C][C]0.651279[/C][C]0.697441[/C][C]0.348721[/C][/ROW]
[ROW][C]106[/C][C]0.628049[/C][C]0.743902[/C][C]0.371951[/C][/ROW]
[ROW][C]107[/C][C]0.609602[/C][C]0.780797[/C][C]0.390398[/C][/ROW]
[ROW][C]108[/C][C]0.589158[/C][C]0.821684[/C][C]0.410842[/C][/ROW]
[ROW][C]109[/C][C]0.67081[/C][C]0.658381[/C][C]0.32919[/C][/ROW]
[ROW][C]110[/C][C]0.653178[/C][C]0.693645[/C][C]0.346822[/C][/ROW]
[ROW][C]111[/C][C]0.623646[/C][C]0.752709[/C][C]0.376354[/C][/ROW]
[ROW][C]112[/C][C]0.605432[/C][C]0.789135[/C][C]0.394568[/C][/ROW]
[ROW][C]113[/C][C]0.688595[/C][C]0.622811[/C][C]0.311405[/C][/ROW]
[ROW][C]114[/C][C]0.714709[/C][C]0.570583[/C][C]0.285291[/C][/ROW]
[ROW][C]115[/C][C]0.708763[/C][C]0.582473[/C][C]0.291237[/C][/ROW]
[ROW][C]116[/C][C]0.703667[/C][C]0.592666[/C][C]0.296333[/C][/ROW]
[ROW][C]117[/C][C]0.675738[/C][C]0.648525[/C][C]0.324262[/C][/ROW]
[ROW][C]118[/C][C]0.700092[/C][C]0.599815[/C][C]0.299908[/C][/ROW]
[ROW][C]119[/C][C]0.777878[/C][C]0.444244[/C][C]0.222122[/C][/ROW]
[ROW][C]120[/C][C]0.776513[/C][C]0.446974[/C][C]0.223487[/C][/ROW]
[ROW][C]121[/C][C]0.777303[/C][C]0.445394[/C][C]0.222697[/C][/ROW]
[ROW][C]122[/C][C]0.795508[/C][C]0.408984[/C][C]0.204492[/C][/ROW]
[ROW][C]123[/C][C]0.78565[/C][C]0.428701[/C][C]0.21435[/C][/ROW]
[ROW][C]124[/C][C]0.863889[/C][C]0.272221[/C][C]0.136111[/C][/ROW]
[ROW][C]125[/C][C]0.8489[/C][C]0.3022[/C][C]0.1511[/C][/ROW]
[ROW][C]126[/C][C]0.829476[/C][C]0.341049[/C][C]0.170524[/C][/ROW]
[ROW][C]127[/C][C]0.817891[/C][C]0.364219[/C][C]0.182109[/C][/ROW]
[ROW][C]128[/C][C]0.7997[/C][C]0.4006[/C][C]0.2003[/C][/ROW]
[ROW][C]129[/C][C]0.778323[/C][C]0.443354[/C][C]0.221677[/C][/ROW]
[ROW][C]130[/C][C]0.757185[/C][C]0.485629[/C][C]0.242815[/C][/ROW]
[ROW][C]131[/C][C]0.730296[/C][C]0.539409[/C][C]0.269704[/C][/ROW]
[ROW][C]132[/C][C]0.742662[/C][C]0.514676[/C][C]0.257338[/C][/ROW]
[ROW][C]133[/C][C]0.715382[/C][C]0.569236[/C][C]0.284618[/C][/ROW]
[ROW][C]134[/C][C]0.689377[/C][C]0.621246[/C][C]0.310623[/C][/ROW]
[ROW][C]135[/C][C]0.683314[/C][C]0.633372[/C][C]0.316686[/C][/ROW]
[ROW][C]136[/C][C]0.687647[/C][C]0.624706[/C][C]0.312353[/C][/ROW]
[ROW][C]137[/C][C]0.658112[/C][C]0.683776[/C][C]0.341888[/C][/ROW]
[ROW][C]138[/C][C]0.762271[/C][C]0.475457[/C][C]0.237729[/C][/ROW]
[ROW][C]139[/C][C]0.75576[/C][C]0.48848[/C][C]0.24424[/C][/ROW]
[ROW][C]140[/C][C]0.729513[/C][C]0.540974[/C][C]0.270487[/C][/ROW]
[ROW][C]141[/C][C]0.730257[/C][C]0.539485[/C][C]0.269743[/C][/ROW]
[ROW][C]142[/C][C]0.751928[/C][C]0.496143[/C][C]0.248072[/C][/ROW]
[ROW][C]143[/C][C]0.748985[/C][C]0.502029[/C][C]0.251015[/C][/ROW]
[ROW][C]144[/C][C]0.725428[/C][C]0.549145[/C][C]0.274572[/C][/ROW]
[ROW][C]145[/C][C]0.719285[/C][C]0.561431[/C][C]0.280715[/C][/ROW]
[ROW][C]146[/C][C]0.707639[/C][C]0.584722[/C][C]0.292361[/C][/ROW]
[ROW][C]147[/C][C]0.68043[/C][C]0.639141[/C][C]0.31957[/C][/ROW]
[ROW][C]148[/C][C]0.650935[/C][C]0.698129[/C][C]0.349065[/C][/ROW]
[ROW][C]149[/C][C]0.625448[/C][C]0.749104[/C][C]0.374552[/C][/ROW]
[ROW][C]150[/C][C]0.661483[/C][C]0.677034[/C][C]0.338517[/C][/ROW]
[ROW][C]151[/C][C]0.694882[/C][C]0.610237[/C][C]0.305118[/C][/ROW]
[ROW][C]152[/C][C]0.665662[/C][C]0.668676[/C][C]0.334338[/C][/ROW]
[ROW][C]153[/C][C]0.669385[/C][C]0.661231[/C][C]0.330615[/C][/ROW]
[ROW][C]154[/C][C]0.72178[/C][C]0.556441[/C][C]0.27822[/C][/ROW]
[ROW][C]155[/C][C]0.744097[/C][C]0.511805[/C][C]0.255903[/C][/ROW]
[ROW][C]156[/C][C]0.734432[/C][C]0.531136[/C][C]0.265568[/C][/ROW]
[ROW][C]157[/C][C]0.749574[/C][C]0.500853[/C][C]0.250426[/C][/ROW]
[ROW][C]158[/C][C]0.723278[/C][C]0.553444[/C][C]0.276722[/C][/ROW]
[ROW][C]159[/C][C]0.695461[/C][C]0.609078[/C][C]0.304539[/C][/ROW]
[ROW][C]160[/C][C]0.68638[/C][C]0.62724[/C][C]0.31362[/C][/ROW]
[ROW][C]161[/C][C]0.656724[/C][C]0.686552[/C][C]0.343276[/C][/ROW]
[ROW][C]162[/C][C]0.642142[/C][C]0.715716[/C][C]0.357858[/C][/ROW]
[ROW][C]163[/C][C]0.691359[/C][C]0.617282[/C][C]0.308641[/C][/ROW]
[ROW][C]164[/C][C]0.8806[/C][C]0.2388[/C][C]0.1194[/C][/ROW]
[ROW][C]165[/C][C]0.889548[/C][C]0.220905[/C][C]0.110452[/C][/ROW]
[ROW][C]166[/C][C]0.914547[/C][C]0.170907[/C][C]0.0854534[/C][/ROW]
[ROW][C]167[/C][C]0.902086[/C][C]0.195829[/C][C]0.0979143[/C][/ROW]
[ROW][C]168[/C][C]0.889569[/C][C]0.220861[/C][C]0.110431[/C][/ROW]
[ROW][C]169[/C][C]0.876151[/C][C]0.247697[/C][C]0.123849[/C][/ROW]
[ROW][C]170[/C][C]0.871219[/C][C]0.257561[/C][C]0.128781[/C][/ROW]
[ROW][C]171[/C][C]0.857661[/C][C]0.284679[/C][C]0.142339[/C][/ROW]
[ROW][C]172[/C][C]0.837447[/C][C]0.325107[/C][C]0.162553[/C][/ROW]
[ROW][C]173[/C][C]0.828531[/C][C]0.342937[/C][C]0.171469[/C][/ROW]
[ROW][C]174[/C][C]0.845985[/C][C]0.308029[/C][C]0.154015[/C][/ROW]
[ROW][C]175[/C][C]0.864112[/C][C]0.271777[/C][C]0.135888[/C][/ROW]
[ROW][C]176[/C][C]0.844642[/C][C]0.310716[/C][C]0.155358[/C][/ROW]
[ROW][C]177[/C][C]0.823829[/C][C]0.352343[/C][C]0.176171[/C][/ROW]
[ROW][C]178[/C][C]0.849924[/C][C]0.300151[/C][C]0.150076[/C][/ROW]
[ROW][C]179[/C][C]0.850665[/C][C]0.298671[/C][C]0.149335[/C][/ROW]
[ROW][C]180[/C][C]0.876588[/C][C]0.246824[/C][C]0.123412[/C][/ROW]
[ROW][C]181[/C][C]0.863395[/C][C]0.273211[/C][C]0.136605[/C][/ROW]
[ROW][C]182[/C][C]0.846917[/C][C]0.306166[/C][C]0.153083[/C][/ROW]
[ROW][C]183[/C][C]0.858228[/C][C]0.283543[/C][C]0.141772[/C][/ROW]
[ROW][C]184[/C][C]0.838389[/C][C]0.323223[/C][C]0.161611[/C][/ROW]
[ROW][C]185[/C][C]0.849459[/C][C]0.301083[/C][C]0.150541[/C][/ROW]
[ROW][C]186[/C][C]0.827879[/C][C]0.344243[/C][C]0.172121[/C][/ROW]
[ROW][C]187[/C][C]0.804632[/C][C]0.390736[/C][C]0.195368[/C][/ROW]
[ROW][C]188[/C][C]0.779159[/C][C]0.441681[/C][C]0.220841[/C][/ROW]
[ROW][C]189[/C][C]0.751716[/C][C]0.496567[/C][C]0.248284[/C][/ROW]
[ROW][C]190[/C][C]0.766468[/C][C]0.467064[/C][C]0.233532[/C][/ROW]
[ROW][C]191[/C][C]0.78011[/C][C]0.439779[/C][C]0.21989[/C][/ROW]
[ROW][C]192[/C][C]0.752739[/C][C]0.494522[/C][C]0.247261[/C][/ROW]
[ROW][C]193[/C][C]0.764894[/C][C]0.470212[/C][C]0.235106[/C][/ROW]
[ROW][C]194[/C][C]0.735828[/C][C]0.528344[/C][C]0.264172[/C][/ROW]
[ROW][C]195[/C][C]0.720973[/C][C]0.558054[/C][C]0.279027[/C][/ROW]
[ROW][C]196[/C][C]0.72228[/C][C]0.555439[/C][C]0.27772[/C][/ROW]
[ROW][C]197[/C][C]0.737931[/C][C]0.524137[/C][C]0.262069[/C][/ROW]
[ROW][C]198[/C][C]0.714128[/C][C]0.571743[/C][C]0.285872[/C][/ROW]
[ROW][C]199[/C][C]0.699722[/C][C]0.600556[/C][C]0.300278[/C][/ROW]
[ROW][C]200[/C][C]0.666758[/C][C]0.666484[/C][C]0.333242[/C][/ROW]
[ROW][C]201[/C][C]0.878287[/C][C]0.243427[/C][C]0.121713[/C][/ROW]
[ROW][C]202[/C][C]0.88328[/C][C]0.233439[/C][C]0.11672[/C][/ROW]
[ROW][C]203[/C][C]0.877881[/C][C]0.244238[/C][C]0.122119[/C][/ROW]
[ROW][C]204[/C][C]0.859704[/C][C]0.280592[/C][C]0.140296[/C][/ROW]
[ROW][C]205[/C][C]0.839915[/C][C]0.320171[/C][C]0.160085[/C][/ROW]
[ROW][C]206[/C][C]0.84385[/C][C]0.312299[/C][C]0.15615[/C][/ROW]
[ROW][C]207[/C][C]0.885478[/C][C]0.229044[/C][C]0.114522[/C][/ROW]
[ROW][C]208[/C][C]0.896907[/C][C]0.206187[/C][C]0.103093[/C][/ROW]
[ROW][C]209[/C][C]0.886477[/C][C]0.227045[/C][C]0.113523[/C][/ROW]
[ROW][C]210[/C][C]0.866425[/C][C]0.26715[/C][C]0.133575[/C][/ROW]
[ROW][C]211[/C][C]0.906376[/C][C]0.187249[/C][C]0.0936244[/C][/ROW]
[ROW][C]212[/C][C]0.911063[/C][C]0.177874[/C][C]0.0889368[/C][/ROW]
[ROW][C]213[/C][C]0.893409[/C][C]0.213183[/C][C]0.106591[/C][/ROW]
[ROW][C]214[/C][C]0.888222[/C][C]0.223556[/C][C]0.111778[/C][/ROW]
[ROW][C]215[/C][C]0.896075[/C][C]0.20785[/C][C]0.103925[/C][/ROW]
[ROW][C]216[/C][C]0.876342[/C][C]0.247317[/C][C]0.123658[/C][/ROW]
[ROW][C]217[/C][C]0.854158[/C][C]0.291684[/C][C]0.145842[/C][/ROW]
[ROW][C]218[/C][C]0.899436[/C][C]0.201127[/C][C]0.100564[/C][/ROW]
[ROW][C]219[/C][C]0.910966[/C][C]0.178067[/C][C]0.0890335[/C][/ROW]
[ROW][C]220[/C][C]0.892885[/C][C]0.214231[/C][C]0.107115[/C][/ROW]
[ROW][C]221[/C][C]0.889712[/C][C]0.220576[/C][C]0.110288[/C][/ROW]
[ROW][C]222[/C][C]0.920757[/C][C]0.158485[/C][C]0.0792426[/C][/ROW]
[ROW][C]223[/C][C]0.903648[/C][C]0.192705[/C][C]0.0963523[/C][/ROW]
[ROW][C]224[/C][C]0.892963[/C][C]0.214075[/C][C]0.107037[/C][/ROW]
[ROW][C]225[/C][C]0.925941[/C][C]0.148117[/C][C]0.0740586[/C][/ROW]
[ROW][C]226[/C][C]0.935138[/C][C]0.129724[/C][C]0.0648621[/C][/ROW]
[ROW][C]227[/C][C]0.930331[/C][C]0.139337[/C][C]0.0696687[/C][/ROW]
[ROW][C]228[/C][C]0.919831[/C][C]0.160337[/C][C]0.0801687[/C][/ROW]
[ROW][C]229[/C][C]0.903314[/C][C]0.193372[/C][C]0.0966858[/C][/ROW]
[ROW][C]230[/C][C]0.913068[/C][C]0.173865[/C][C]0.0869325[/C][/ROW]
[ROW][C]231[/C][C]0.943528[/C][C]0.112943[/C][C]0.0564717[/C][/ROW]
[ROW][C]232[/C][C]0.945714[/C][C]0.108573[/C][C]0.0542864[/C][/ROW]
[ROW][C]233[/C][C]0.935362[/C][C]0.129275[/C][C]0.0646376[/C][/ROW]
[ROW][C]234[/C][C]0.965319[/C][C]0.069363[/C][C]0.0346815[/C][/ROW]
[ROW][C]235[/C][C]0.955098[/C][C]0.0898035[/C][C]0.0449018[/C][/ROW]
[ROW][C]236[/C][C]0.967166[/C][C]0.0656676[/C][C]0.0328338[/C][/ROW]
[ROW][C]237[/C][C]0.978533[/C][C]0.0429331[/C][C]0.0214666[/C][/ROW]
[ROW][C]238[/C][C]0.980233[/C][C]0.0395349[/C][C]0.0197675[/C][/ROW]
[ROW][C]239[/C][C]0.979667[/C][C]0.0406659[/C][C]0.0203329[/C][/ROW]
[ROW][C]240[/C][C]0.975046[/C][C]0.0499077[/C][C]0.0249539[/C][/ROW]
[ROW][C]241[/C][C]0.965926[/C][C]0.0681473[/C][C]0.0340736[/C][/ROW]
[ROW][C]242[/C][C]0.966063[/C][C]0.0678737[/C][C]0.0339369[/C][/ROW]
[ROW][C]243[/C][C]0.95413[/C][C]0.0917401[/C][C]0.0458701[/C][/ROW]
[ROW][C]244[/C][C]0.976644[/C][C]0.0467121[/C][C]0.0233561[/C][/ROW]
[ROW][C]245[/C][C]0.968807[/C][C]0.0623864[/C][C]0.0311932[/C][/ROW]
[ROW][C]246[/C][C]0.957873[/C][C]0.0842533[/C][C]0.0421266[/C][/ROW]
[ROW][C]247[/C][C]0.98521[/C][C]0.0295799[/C][C]0.0147899[/C][/ROW]
[ROW][C]248[/C][C]0.983009[/C][C]0.0339815[/C][C]0.0169908[/C][/ROW]
[ROW][C]249[/C][C]0.979528[/C][C]0.0409432[/C][C]0.0204716[/C][/ROW]
[ROW][C]250[/C][C]0.978928[/C][C]0.0421448[/C][C]0.0210724[/C][/ROW]
[ROW][C]251[/C][C]0.983975[/C][C]0.0320508[/C][C]0.0160254[/C][/ROW]
[ROW][C]252[/C][C]0.977267[/C][C]0.0454654[/C][C]0.0227327[/C][/ROW]
[ROW][C]253[/C][C]0.966439[/C][C]0.067122[/C][C]0.033561[/C][/ROW]
[ROW][C]254[/C][C]0.952351[/C][C]0.0952982[/C][C]0.0476491[/C][/ROW]
[ROW][C]255[/C][C]0.994674[/C][C]0.0106528[/C][C]0.0053264[/C][/ROW]
[ROW][C]256[/C][C]0.991943[/C][C]0.0161144[/C][C]0.00805718[/C][/ROW]
[ROW][C]257[/C][C]0.991476[/C][C]0.0170481[/C][C]0.00852403[/C][/ROW]
[ROW][C]258[/C][C]0.986429[/C][C]0.0271421[/C][C]0.013571[/C][/ROW]
[ROW][C]259[/C][C]0.978972[/C][C]0.0420552[/C][C]0.0210276[/C][/ROW]
[ROW][C]260[/C][C]0.975988[/C][C]0.0480248[/C][C]0.0240124[/C][/ROW]
[ROW][C]261[/C][C]0.985942[/C][C]0.0281169[/C][C]0.0140584[/C][/ROW]
[ROW][C]262[/C][C]0.975533[/C][C]0.0489347[/C][C]0.0244673[/C][/ROW]
[ROW][C]263[/C][C]0.960244[/C][C]0.0795129[/C][C]0.0397564[/C][/ROW]
[ROW][C]264[/C][C]0.934491[/C][C]0.131018[/C][C]0.0655088[/C][/ROW]
[ROW][C]265[/C][C]0.898934[/C][C]0.202132[/C][C]0.101066[/C][/ROW]
[ROW][C]266[/C][C]0.893571[/C][C]0.212857[/C][C]0.106429[/C][/ROW]
[ROW][C]267[/C][C]0.835815[/C][C]0.328371[/C][C]0.164185[/C][/ROW]
[ROW][C]268[/C][C]0.754525[/C][C]0.49095[/C][C]0.245475[/C][/ROW]
[ROW][C]269[/C][C]0.646453[/C][C]0.707094[/C][C]0.353547[/C][/ROW]
[ROW][C]270[/C][C]0.806648[/C][C]0.386704[/C][C]0.193352[/C][/ROW]
[ROW][C]271[/C][C]0.717601[/C][C]0.564799[/C][C]0.282399[/C][/ROW]
[ROW][C]272[/C][C]0.639857[/C][C]0.720285[/C][C]0.360143[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267340&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267340&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
60.235840.471680.76416
70.4471660.8943310.552834
80.3804780.7609550.619522
90.2841860.5683730.715814
100.3334830.6669650.666517
110.2452680.4905360.754732
120.1689480.3378960.831052
130.1768760.3537520.823124
140.1420210.2840410.857979
150.5989250.802150.401075
160.6467570.7064860.353243
170.595320.8093610.40468
180.5341730.9316530.465827
190.4630210.9260410.536979
200.3999250.7998510.600075
210.3420560.6841120.657944
220.2831530.5663060.716847
230.5014120.9971760.498588
240.5229360.9541280.477064
250.4621190.9242390.537881
260.7564510.4870970.243549
270.7110640.5778730.288936
280.7593190.4813620.240681
290.7159180.5681630.284082
300.6719290.6561410.328071
310.7091110.5817770.290889
320.6678630.6642740.332137
330.6252140.7495730.374786
340.5920460.8159080.407954
350.590250.81950.40975
360.6127650.774470.387235
370.5698760.8602480.430124
380.5266850.946630.473315
390.4960440.9920870.503956
400.4631930.9263860.536807
410.4432130.8864260.556787
420.3995760.7991530.600424
430.3737630.7475250.626237
440.3564910.7129820.643509
450.4906550.981310.509345
460.5026870.9946250.497313
470.485380.9707610.51462
480.5307380.9385230.469262
490.5350480.9299040.464952
500.5710190.8579620.428981
510.5422010.9155980.457799
520.7281780.5436450.271822
530.7020740.5958520.297926
540.6740180.6519650.325982
550.6417870.7164260.358213
560.6135290.7729430.386471
570.5750360.8499280.424964
580.5369160.9261680.463084
590.6657110.6685780.334289
600.6547780.6904430.345222
610.6409130.7181750.359087
620.6289880.7420240.371012
630.605680.7886390.39432
640.7167520.5664960.283248
650.7507090.4985810.249291
660.7941490.4117020.205851
670.8101590.3796820.189841
680.8860850.227830.113915
690.9148160.1703680.0851839
700.9023990.1952020.0976009
710.9112120.1775750.0887875
720.8969330.2061340.103067
730.9184990.1630020.081501
740.9215230.1569550.0784773
750.9124610.1750780.0875392
760.9146640.1706730.0853364
770.901930.1961390.0980695
780.8945210.2109570.105479
790.8997210.2005580.100279
800.8883230.2233540.111677
810.8823390.2353210.117661
820.867620.2647590.13238
830.8673530.2652950.132647
840.8642090.2715820.135791
850.8449860.3100280.155014
860.8339190.3321620.166081
870.8515420.2969150.148458
880.8729150.2541710.127085
890.8708580.2582840.129142
900.8542240.2915530.145776
910.8697390.2605210.130261
920.8503480.2993040.149652
930.8327990.3344020.167201
940.8146480.3707050.185352
950.8010430.3979140.198957
960.7802680.4394630.219732
970.7556960.4886080.244304
980.7431660.5136680.256834
990.7246080.5507840.275392
1000.7033550.5932910.296645
1010.7336620.5326760.266338
1020.7180230.5639530.281977
1030.69660.60680.3034
1040.6689160.6621670.331084
1050.6512790.6974410.348721
1060.6280490.7439020.371951
1070.6096020.7807970.390398
1080.5891580.8216840.410842
1090.670810.6583810.32919
1100.6531780.6936450.346822
1110.6236460.7527090.376354
1120.6054320.7891350.394568
1130.6885950.6228110.311405
1140.7147090.5705830.285291
1150.7087630.5824730.291237
1160.7036670.5926660.296333
1170.6757380.6485250.324262
1180.7000920.5998150.299908
1190.7778780.4442440.222122
1200.7765130.4469740.223487
1210.7773030.4453940.222697
1220.7955080.4089840.204492
1230.785650.4287010.21435
1240.8638890.2722210.136111
1250.84890.30220.1511
1260.8294760.3410490.170524
1270.8178910.3642190.182109
1280.79970.40060.2003
1290.7783230.4433540.221677
1300.7571850.4856290.242815
1310.7302960.5394090.269704
1320.7426620.5146760.257338
1330.7153820.5692360.284618
1340.6893770.6212460.310623
1350.6833140.6333720.316686
1360.6876470.6247060.312353
1370.6581120.6837760.341888
1380.7622710.4754570.237729
1390.755760.488480.24424
1400.7295130.5409740.270487
1410.7302570.5394850.269743
1420.7519280.4961430.248072
1430.7489850.5020290.251015
1440.7254280.5491450.274572
1450.7192850.5614310.280715
1460.7076390.5847220.292361
1470.680430.6391410.31957
1480.6509350.6981290.349065
1490.6254480.7491040.374552
1500.6614830.6770340.338517
1510.6948820.6102370.305118
1520.6656620.6686760.334338
1530.6693850.6612310.330615
1540.721780.5564410.27822
1550.7440970.5118050.255903
1560.7344320.5311360.265568
1570.7495740.5008530.250426
1580.7232780.5534440.276722
1590.6954610.6090780.304539
1600.686380.627240.31362
1610.6567240.6865520.343276
1620.6421420.7157160.357858
1630.6913590.6172820.308641
1640.88060.23880.1194
1650.8895480.2209050.110452
1660.9145470.1709070.0854534
1670.9020860.1958290.0979143
1680.8895690.2208610.110431
1690.8761510.2476970.123849
1700.8712190.2575610.128781
1710.8576610.2846790.142339
1720.8374470.3251070.162553
1730.8285310.3429370.171469
1740.8459850.3080290.154015
1750.8641120.2717770.135888
1760.8446420.3107160.155358
1770.8238290.3523430.176171
1780.8499240.3001510.150076
1790.8506650.2986710.149335
1800.8765880.2468240.123412
1810.8633950.2732110.136605
1820.8469170.3061660.153083
1830.8582280.2835430.141772
1840.8383890.3232230.161611
1850.8494590.3010830.150541
1860.8278790.3442430.172121
1870.8046320.3907360.195368
1880.7791590.4416810.220841
1890.7517160.4965670.248284
1900.7664680.4670640.233532
1910.780110.4397790.21989
1920.7527390.4945220.247261
1930.7648940.4702120.235106
1940.7358280.5283440.264172
1950.7209730.5580540.279027
1960.722280.5554390.27772
1970.7379310.5241370.262069
1980.7141280.5717430.285872
1990.6997220.6005560.300278
2000.6667580.6664840.333242
2010.8782870.2434270.121713
2020.883280.2334390.11672
2030.8778810.2442380.122119
2040.8597040.2805920.140296
2050.8399150.3201710.160085
2060.843850.3122990.15615
2070.8854780.2290440.114522
2080.8969070.2061870.103093
2090.8864770.2270450.113523
2100.8664250.267150.133575
2110.9063760.1872490.0936244
2120.9110630.1778740.0889368
2130.8934090.2131830.106591
2140.8882220.2235560.111778
2150.8960750.207850.103925
2160.8763420.2473170.123658
2170.8541580.2916840.145842
2180.8994360.2011270.100564
2190.9109660.1780670.0890335
2200.8928850.2142310.107115
2210.8897120.2205760.110288
2220.9207570.1584850.0792426
2230.9036480.1927050.0963523
2240.8929630.2140750.107037
2250.9259410.1481170.0740586
2260.9351380.1297240.0648621
2270.9303310.1393370.0696687
2280.9198310.1603370.0801687
2290.9033140.1933720.0966858
2300.9130680.1738650.0869325
2310.9435280.1129430.0564717
2320.9457140.1085730.0542864
2330.9353620.1292750.0646376
2340.9653190.0693630.0346815
2350.9550980.08980350.0449018
2360.9671660.06566760.0328338
2370.9785330.04293310.0214666
2380.9802330.03953490.0197675
2390.9796670.04066590.0203329
2400.9750460.04990770.0249539
2410.9659260.06814730.0340736
2420.9660630.06787370.0339369
2430.954130.09174010.0458701
2440.9766440.04671210.0233561
2450.9688070.06238640.0311932
2460.9578730.08425330.0421266
2470.985210.02957990.0147899
2480.9830090.03398150.0169908
2490.9795280.04094320.0204716
2500.9789280.04214480.0210724
2510.9839750.03205080.0160254
2520.9772670.04546540.0227327
2530.9664390.0671220.033561
2540.9523510.09529820.0476491
2550.9946740.01065280.0053264
2560.9919430.01611440.00805718
2570.9914760.01704810.00852403
2580.9864290.02714210.013571
2590.9789720.04205520.0210276
2600.9759880.04802480.0240124
2610.9859420.02811690.0140584
2620.9755330.04893470.0244673
2630.9602440.07951290.0397564
2640.9344910.1310180.0655088
2650.8989340.2021320.101066
2660.8935710.2128570.106429
2670.8358150.3283710.164185
2680.7545250.490950.245475
2690.6464530.7070940.353547
2700.8066480.3867040.193352
2710.7176010.5647990.282399
2720.6398570.7202850.360143






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level190.071161NOK
10% type I error level300.11236NOK

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
Description & # significant tests & % significant tests & OK/NOK \tabularnewline
1% type I error level & 0 & 0 & OK \tabularnewline
5% type I error level & 19 & 0.071161 & NOK \tabularnewline
10% type I error level & 30 & 0.11236 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267340&T=6

[TABLE]
[ROW][C]Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]Description[/C][C]# significant tests[/C][C]% significant tests[/C][C]OK/NOK[/C][/ROW]
[ROW][C]1% type I error level[/C][C]0[/C][C]0[/C][C]OK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]19[/C][C]0.071161[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]30[/C][C]0.11236[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267340&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267340&T=6

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


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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level190.071161NOK
10% type I error level300.11236NOK


Figures (Output of Computation)

Figure 1
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Figure 2
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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')
}