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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationTue, 20 Jan 2015 11:37:29 +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/2015/Jan/20/t1421753919umu5v13rtal55tf.htm/, Retrieved Wed, 15 May 2024 06:26:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=275098, Retrieved Wed, 15 May 2024 06:26:41 +0000
QR Codes:

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

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [hetreoskedd] [2015-01-20 11:37:29] [b3af8a5e2d9bda149808ec07c7827d03] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
149 18 68 7.5
139 31 39 6
148 39 32 6.5
158 46 62 1
128 31 33 1
224 67 52 5.5
159 35 62 8.5
105 52 77 6.5
159 77 76 4.5
167 37 41 2
165 32 48 5
159 36 63 0.5
119 38 30 5
176 69 78 5
54 21 19 2.5
91 26 31 5
163 54 66 5.5
124 36 35 3.5
137 42 42 3
121 23 45 4
153 34 21 0.5
148 112 25 6.5
221 35 44 4.5
188 47 69 7.5
149 47 54 5.5
244 37 74 4
148 109 80 7.5
92 24 42 7
150 20 61 4
153 22 41 5.5
94 23 46 2.5
156 32 39 5.5
132 30 34 3.5
161 92 51 2.5
105 43 42 4.5
97 55 31 4.5
151 16 39 4.5
131 49 20 6
166 71 49 2.5
157 43 53 5
111 29 31 0
145 56 39 5
162 46 54 6.5
163 19 49 5
59 23 34 6
187 59 46 4.5
109 30 55 5.5
90 61 42 1
105 7 50 7.5
83 38 13 6
116 32 37 5
42 16 25 1
148 19 30 5
155 22 28 6.5
125 48 45 7
116 23 35 4.5
128 26 28 0
138 33 41 8.5
49 9 6 3.5
96 24 45 7.5
164 34 73 3.5
162 48 17 6
99 18 40 1.5
202 43 64 9
186 33 37 3.5
66 28 25 3.5
183 71 65 4
214 26 100 6.5
188 67 28 7.5
104 34 35 6
177 80 56 5
126 29 29 5.5
76 16 43 3.5
99 59 59 7.5
139 32 50 6.5
162 43 59 6.5
108 38 27 6.5
159 29 61 7
74 36 28 3.5
110 32 51 1.5
96 35 35 4
116 21 29 7.5
87 29 48 4.5
97 12 25 0
127 37 44 3.5
106 37 64 5.5
80 47 32 5
74 51 20 4.5
91 32 28 2.5
133 21 34 7.5
74 13 31 7
114 14 26 0
140 -2 58 4.5
95 20 23 3
98 24 21 1.5
121 11 21 3.5
126 23 33 2.5
98 24 16 5.5
95 14 20 8
110 52 37 1
70 15 35 5
102 23 33 4.5
86 19 27 3
130 35 41 3
96 24 40 8
102 39 35 2.5
100 29 28 7
94 13 32 0
52 8 22 1
98 18 44 3.5
118 24 27 5.5
99 19 17 5.5
48 23 12 0.5
50 16 45 7.5
150 33 37 9
154 32 37 9.5
109 37 108 8.5
68 14 10 7
194 52 68 8
158 75 72 10
159 72 143 7
67 15 9 8.5
147 29 55 9
39 13 17 9.5
100 40 37 4
111 19 27 6
138 24 37 8
101 121 58 5.5
131 93 66 9.5
101 36 21 7.5
114 23 19 7
165 85 78 7.5
114 41 35 8
111 46 48 7
75 18 27 7
82 35 43 6
121 17 30 10
32 4 25 2.5
150 28 69 9
117 44 72 8
71 10 23 6
165 38 13 8.5
154 57 61 6
126 23 43 9
149 36 51 8
145 22 67 9
120 40 36 5.5
109 31 44 7
132 11 45 5.5
172 38 34 9
169 24 36 2
114 37 72 8.5
156 37 39 9
172 22 43 8.5
68 15 25 9
89 2 56 7.5
167 43 80 10
113 31 40 9
115 29 73 7.5
78 45 34 6
118 25 72 10.5
87 4 42 8.5
173 31 61 8
2 -4 23 10
162 66 74 10.5
49 61 16 6.5
122 32 66 9.5
96 31 9 8.5
100 39 41 7.5
82 19 57 5
100 31 48 8
115 36 51 10
141 42 53 7
165 21 29 7.5
165 21 29 7.5
110 25 55 9.5
118 32 54 6
158 26 43 10
146 28 51 7
49 32 20 3
90 41 79 6
121 29 39 7
155 33 61 10
104 17 55 7
147 13 30 3.5
110 32 55 8
108 30 22 10
113 34 37 5.5
115 59 2 6
61 13 38 6.5
60 23 27 6.5
109 10 56 8.5
68 5 25 4
111 31 39 9.5
77 19 33 8
73 32 43 8.5
151 30 57 5.5
89 25 43 7
78 48 23 9
110 35 44 8
220 67 54 10
65 15 28 8
141 22 36 6
117 18 39 8
122 33 16 5
63 46 23 9
44 24 40 4.5
52 14 24 8.5
131 12 78 9.5
101 38 57 8.5
42 12 37 7.5
152 28 27 7.5
107 41 61 5
77 12 27 7
154 31 69 8
103 33 34 5.5
96 34 44 8.5
175 21 34 9.5
57 20 39 7
112 44 51 8
143 52 34 8.5
49 7 31 3.5
110 29 13 6.5
131 11 12 6.5
167 26 51 10.5
56 24 24 8.5
137 7 19 8
86 60 30 10
121 13 81 10
149 20 42 9.5
168 52 22 9
140 28 85 10
88 25 27 7.5
168 39 25 4.5
94 9 22 4.5
51 19 19 0.5
48 13 14 6.5
145 60 45 4.5
66 19 45 5.5
85 34 28 5
109 14 51 6
63 17 41 4
102 45 31 8
162 66 74 10.5
86 48 19 6.5
114 29 51 8
164 -2 73 8.5
119 51 24 5.5
126 2 61 7
132 24 23 5
142 40 14 3.5
83 20 54 5
94 19 51 9
81 16 62 8.5
166 20 36 5
110 40 59 9.5
64 27 24 3
93 25 26 1.5
104 49 54 6
105 39 39 0.5
49 61 16 6.5
88 19 36 7.5
95 67 31 4.5
102 45 31 8
99 30 42 9
63 8 39 7.5
76 19 25 8.5
109 52 31 7
117 22 38 9.5
57 17 31 6.5
120 33 17 9.5
73 34 22 6
91 22 55 8
108 30 62 9.5
105 25 51 8
117 38 30 8
119 26 49 9
31 13 16 5

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 8 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=275098&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]8 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=275098&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=275098&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Multiple Linear Regression - Estimated Regression Equation
LFM[t] = + 64.7611 + 0.583658PRH[t] + 0.768951CH[t] + 0.128922Ex[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
LFM[t] =  +  64.7611 +  0.583658PRH[t] +  0.768951CH[t] +  0.128922Ex[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=275098&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]LFM[t] =  +  64.7611 +  0.583658PRH[t] +  0.768951CH[t] +  0.128922Ex[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=275098&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=275098&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] = + 64.7611 + 0.583658PRH[t] + 0.768951CH[t] + 0.128922Ex[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)64.76116.865969.4321.7923e-188.96151e-19
PRH0.5836580.1136415.1365.33469e-072.66734e-07
CH0.7689510.115926.6331.74413e-108.72063e-11
Ex0.1289220.8387060.15370.8779480.438974

\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) & 64.7611 & 6.86596 & 9.432 & 1.7923e-18 & 8.96151e-19 \tabularnewline
PRH & 0.583658 & 0.113641 & 5.136 & 5.33469e-07 & 2.66734e-07 \tabularnewline
CH & 0.768951 & 0.11592 & 6.633 & 1.74413e-10 & 8.72063e-11 \tabularnewline
Ex & 0.128922 & 0.838706 & 0.1537 & 0.877948 & 0.438974 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=275098&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]64.7611[/C][C]6.86596[/C][C]9.432[/C][C]1.7923e-18[/C][C]8.96151e-19[/C][/ROW]
[ROW][C]PRH[/C][C]0.583658[/C][C]0.113641[/C][C]5.136[/C][C]5.33469e-07[/C][C]2.66734e-07[/C][/ROW]
[ROW][C]CH[/C][C]0.768951[/C][C]0.11592[/C][C]6.633[/C][C]1.74413e-10[/C][C]8.72063e-11[/C][/ROW]
[ROW][C]Ex[/C][C]0.128922[/C][C]0.838706[/C][C]0.1537[/C][C]0.877948[/C][C]0.438974[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=275098&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=275098&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)64.76116.865969.4321.7923e-188.96151e-19
PRH0.5836580.1136415.1365.33469e-072.66734e-07
CH0.7689510.115926.6331.74413e-108.72063e-11
Ex0.1289220.8387060.15370.8779480.438974






Multiple Linear Regression - Regression Statistics
Multiple R0.519288
R-squared0.26966
Adjusted R-squared0.261664
F-TEST (value)33.7226
F-TEST (DF numerator)3
F-TEST (DF denominator)274
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation34.2283
Sum Squared Residuals321011

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.519288 \tabularnewline
R-squared & 0.26966 \tabularnewline
Adjusted R-squared & 0.261664 \tabularnewline
F-TEST (value) & 33.7226 \tabularnewline
F-TEST (DF numerator) & 3 \tabularnewline
F-TEST (DF denominator) & 274 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 34.2283 \tabularnewline
Sum Squared Residuals & 321011 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=275098&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.519288[/C][/ROW]
[ROW][C]R-squared[/C][C]0.26966[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.261664[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]33.7226[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]3[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]274[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]34.2283[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]321011[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=275098&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=275098&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 R0.519288
R-squared0.26966
Adjusted R-squared0.261664
F-TEST (value)33.7226
F-TEST (DF numerator)3
F-TEST (DF denominator)274
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation34.2283
Sum Squared Residuals321011






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1149128.52320.4775
2139113.61725.3829
3148112.96835.0318
4158139.41318.5867
5128108.35919.6412
6224144.56179.4393
7159133.9625.0401
8105155.159-50.1585
9159168.723-9.72319
10167118.14148.8587
11165120.99244.0076
12159134.28124.7188
13119110.6538.34675
14176165.65610.3437
155491.9503-37.9503
1691104.418-13.4183
17163147.73815.2615
18124113.13710.8627
19137121.95715.0426
20121113.3047.69628
21153100.81852.1821
22148150.193-2.19257
23221119.603101.397
24188146.21841.7824
25149134.42514.5745
26244143.775100.225
27148190.863-42.8628
2892111.967-19.9673
29150123.85626.144
30153109.83843.1624
3194113.879-19.8793
32156114.13641.8637
33132108.86623.1336
34161157.9963.00356
35105122.734-17.7345
3697121.28-24.2799
37151104.66946.3311
38131109.51321.4871
39166144.20221.7983
40157131.25725.7426
41111105.5255.47533
42145128.0816.9204
43162133.97128.0293
44163114.17448.8262
4559105.103-46.1031
46187135.14951.8512
47109125.272-16.2722
4890132.789-42.7891
49105108.261-3.26117
508397.71-14.71
51116112.5343.46604
524293.4523-51.4523
5314899.563748.4363
5415599.970255.0298
55125128.282-3.28193
56116105.67910.3213
57128101.46726.5332
58138116.64521.3554
594975.079-26.079
6096114.339-18.3386
61164141.1922.8099
62162106.62255.3776
6399106.218-7.21837
64202140.23261.7684
65186112.92473.0758
6666100.779-34.7785
67183156.69826.3017
68214157.66956.3307
69188126.36461.6363
70104112.292-8.29229
71177155.1621.8404
72126104.69621.3042
7376107.616-31.6157
7499145.532-46.5319
75139122.72416.2763
76162136.06425.9355
77108108.54-0.539777
78159129.49629.5044
7974107.755-33.7546
80110122.848-12.848
8196112.618-16.6181
82116100.28415.7156
8387119.177-32.177
849790.98886.01122
85127120.6426.35848
86106136.278-30.2784
8780117.444-37.4441
8874110.487-36.4868
8991105.291-14.2911
90133104.12928.8708
917497.0886-23.0886
9211492.92521.075
93140108.77331.2269
949594.50690.493097
959895.11032.88975
9612187.780533.2195
97126103.88322.1171
989891.78126.21882
999589.34275.65729
100110123.691-13.6914
10170101.074-31.0739
102102104.141-2.14077
1038696.999-10.999
104130117.10312.8971
10596110.558-14.5583
106102114.759-12.7594
107100104.12-4.12027
1089496.9551-2.95509
1095286.4762-34.4762
11098109.552-11.552
111118100.2417.7604
1129989.63189.36816
1134887.4771-39.4771
11450109.669-59.6693
115150113.63336.3667
116154113.11440.8859
117109170.499-61.499
1186881.5243-13.5243
119194148.43145.5686
120158165.189-7.18914
121159217.647-58.6469
1226781.5324-14.5324
123147125.1421.8602
1243986.6456-47.6456
125100117.074-17.0743
12611197.385813.6142
127138108.25129.7485
128101180.692-79.6919
129131171.017-40.0168
130101102.888-1.88768
13111493.697820.3022
132165175.317-10.3171
133114116.636-2.63574
134111129.421-18.4215
1357596.9311-21.9311
13682119.028-37.0276
13712199.04121.959
1383286.6418-54.6418
139150135.32114.6786
140117146.838-29.8379
1417189.0571-18.0571
14216598.032366.9677
143154145.7098.29085
144126112.4113.5896
145149126.02122.9793
146145130.28214.7184
147120116.4993.50127
148109117.591-8.5908
149132106.49325.5068
150172114.24557.7553
151169106.70962.291
152114142.817-28.8168
153156117.50638.4942
154172111.76260.2377
1556893.9-25.9
15689109.957-20.9566
157167152.66414.3363
158113114.773-1.77284
159115138.788-23.7875
16078117.944-39.9436
161118136.071-18.0707
16287100.488-13.4875
163173130.79242.2081
164281.4016-79.4016
165162161.5390.46142
16649113.505-64.5055
167122135.414-13.4137
1689690.87095.1291
169100120.018-20.0177
17082120.325-38.3254
171100120.796-20.7955
172115126.279-11.2785
173141130.93210.0684
174165100.28464.7156
175165100.28464.7156
176110122.87-12.8696
177118125.735-7.73504
178158114.2943.7097
179146121.22224.7775
1804999.2039-50.2039
18190150.212-60.2117
182121112.5798.42127
183155132.21722.783
184104117.878-13.878
18514795.868451.1316
186110126.762-16.7618
187108100.4777.52302
188113113.766-0.765732
189115101.50813.4916
19061102.407-41.4068
1916099.7849-39.7849
192109114.755-5.75477
1936887.4189-19.4189
194111114.068-3.06835
19577102.257-25.2574
19673117.599-44.5989
197151126.8124.1899
19889113.32-24.3199
19978111.623-33.6229
200110120.054-10.0544
201220146.67973.3212
2026596.078-31.078
203141106.05734.9427
204117106.28710.7126
20512296.969625.0304
20663110.456-47.4555
20744110.107-66.1071
2085292.483-40.483
209131132.968-1.96793
210101131.866-30.8661
21142101.183-59.1831
212152102.83249.1679
213107136.242-29.2417
2147793.4291-16.4291
215154136.94317.0565
216103110.875-7.87522
21796119.535-23.5352
218175104.38770.613
21957107.326-50.3258
220112130.69-18.6899
221143122.35120.6485
2224993.1354-44.1354
22311092.521517.4785
22413181.246749.7533
225167120.50646.4936
2265698.3196-42.3196
22713784.488252.5118
22886124.138-38.1383
229121135.923-14.9229
230149109.95539.045
231168113.18954.8115
232140147.754-7.75357
23388101.081-13.0811
234168107.32860.6723
2359487.51116.4889
2365190.5251-39.5251
2374883.952-35.952
238145134.96410.0365
23966111.162-45.1625
24085106.781-21.7807
241109112.922-3.92234
24263106.726-43.726
243102115.895-13.8946
244162161.5390.46142
24586108.225-22.2248
246114121.935-7.93506
247164120.82343.177
248119113.6925.30844
249126113.73712.2631
25013297.099434.9006
25114299.32442.676
25283118.602-35.6022
25394116.227-22.2274
25481122.87-41.8704
255166104.76161.2389
256110134.7-24.7003
2576499.3615-35.3615
2589399.5387-6.53866
259104135.657-31.6572
260105117.577-12.5773
26149113.505-64.5055
26288104.5-16.4998
26395128.284-33.2838
264102115.895-13.8946
26599115.727-16.7271
26663100.386-37.3864
2677696.1702-20.1702
268109119.851-10.8513
269117108.0468.95353
2705799.3588-42.3588
27112098.318721.6813
27273102.296-29.2959
27391120.925-29.9253
274108131.171-23.1706
275105119.6-14.6004
276117111.045.95999
277119118.7750.224896
2783185.2965-54.2965

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 149 & 128.523 & 20.4775 \tabularnewline
2 & 139 & 113.617 & 25.3829 \tabularnewline
3 & 148 & 112.968 & 35.0318 \tabularnewline
4 & 158 & 139.413 & 18.5867 \tabularnewline
5 & 128 & 108.359 & 19.6412 \tabularnewline
6 & 224 & 144.561 & 79.4393 \tabularnewline
7 & 159 & 133.96 & 25.0401 \tabularnewline
8 & 105 & 155.159 & -50.1585 \tabularnewline
9 & 159 & 168.723 & -9.72319 \tabularnewline
10 & 167 & 118.141 & 48.8587 \tabularnewline
11 & 165 & 120.992 & 44.0076 \tabularnewline
12 & 159 & 134.281 & 24.7188 \tabularnewline
13 & 119 & 110.653 & 8.34675 \tabularnewline
14 & 176 & 165.656 & 10.3437 \tabularnewline
15 & 54 & 91.9503 & -37.9503 \tabularnewline
16 & 91 & 104.418 & -13.4183 \tabularnewline
17 & 163 & 147.738 & 15.2615 \tabularnewline
18 & 124 & 113.137 & 10.8627 \tabularnewline
19 & 137 & 121.957 & 15.0426 \tabularnewline
20 & 121 & 113.304 & 7.69628 \tabularnewline
21 & 153 & 100.818 & 52.1821 \tabularnewline
22 & 148 & 150.193 & -2.19257 \tabularnewline
23 & 221 & 119.603 & 101.397 \tabularnewline
24 & 188 & 146.218 & 41.7824 \tabularnewline
25 & 149 & 134.425 & 14.5745 \tabularnewline
26 & 244 & 143.775 & 100.225 \tabularnewline
27 & 148 & 190.863 & -42.8628 \tabularnewline
28 & 92 & 111.967 & -19.9673 \tabularnewline
29 & 150 & 123.856 & 26.144 \tabularnewline
30 & 153 & 109.838 & 43.1624 \tabularnewline
31 & 94 & 113.879 & -19.8793 \tabularnewline
32 & 156 & 114.136 & 41.8637 \tabularnewline
33 & 132 & 108.866 & 23.1336 \tabularnewline
34 & 161 & 157.996 & 3.00356 \tabularnewline
35 & 105 & 122.734 & -17.7345 \tabularnewline
36 & 97 & 121.28 & -24.2799 \tabularnewline
37 & 151 & 104.669 & 46.3311 \tabularnewline
38 & 131 & 109.513 & 21.4871 \tabularnewline
39 & 166 & 144.202 & 21.7983 \tabularnewline
40 & 157 & 131.257 & 25.7426 \tabularnewline
41 & 111 & 105.525 & 5.47533 \tabularnewline
42 & 145 & 128.08 & 16.9204 \tabularnewline
43 & 162 & 133.971 & 28.0293 \tabularnewline
44 & 163 & 114.174 & 48.8262 \tabularnewline
45 & 59 & 105.103 & -46.1031 \tabularnewline
46 & 187 & 135.149 & 51.8512 \tabularnewline
47 & 109 & 125.272 & -16.2722 \tabularnewline
48 & 90 & 132.789 & -42.7891 \tabularnewline
49 & 105 & 108.261 & -3.26117 \tabularnewline
50 & 83 & 97.71 & -14.71 \tabularnewline
51 & 116 & 112.534 & 3.46604 \tabularnewline
52 & 42 & 93.4523 & -51.4523 \tabularnewline
53 & 148 & 99.5637 & 48.4363 \tabularnewline
54 & 155 & 99.9702 & 55.0298 \tabularnewline
55 & 125 & 128.282 & -3.28193 \tabularnewline
56 & 116 & 105.679 & 10.3213 \tabularnewline
57 & 128 & 101.467 & 26.5332 \tabularnewline
58 & 138 & 116.645 & 21.3554 \tabularnewline
59 & 49 & 75.079 & -26.079 \tabularnewline
60 & 96 & 114.339 & -18.3386 \tabularnewline
61 & 164 & 141.19 & 22.8099 \tabularnewline
62 & 162 & 106.622 & 55.3776 \tabularnewline
63 & 99 & 106.218 & -7.21837 \tabularnewline
64 & 202 & 140.232 & 61.7684 \tabularnewline
65 & 186 & 112.924 & 73.0758 \tabularnewline
66 & 66 & 100.779 & -34.7785 \tabularnewline
67 & 183 & 156.698 & 26.3017 \tabularnewline
68 & 214 & 157.669 & 56.3307 \tabularnewline
69 & 188 & 126.364 & 61.6363 \tabularnewline
70 & 104 & 112.292 & -8.29229 \tabularnewline
71 & 177 & 155.16 & 21.8404 \tabularnewline
72 & 126 & 104.696 & 21.3042 \tabularnewline
73 & 76 & 107.616 & -31.6157 \tabularnewline
74 & 99 & 145.532 & -46.5319 \tabularnewline
75 & 139 & 122.724 & 16.2763 \tabularnewline
76 & 162 & 136.064 & 25.9355 \tabularnewline
77 & 108 & 108.54 & -0.539777 \tabularnewline
78 & 159 & 129.496 & 29.5044 \tabularnewline
79 & 74 & 107.755 & -33.7546 \tabularnewline
80 & 110 & 122.848 & -12.848 \tabularnewline
81 & 96 & 112.618 & -16.6181 \tabularnewline
82 & 116 & 100.284 & 15.7156 \tabularnewline
83 & 87 & 119.177 & -32.177 \tabularnewline
84 & 97 & 90.9888 & 6.01122 \tabularnewline
85 & 127 & 120.642 & 6.35848 \tabularnewline
86 & 106 & 136.278 & -30.2784 \tabularnewline
87 & 80 & 117.444 & -37.4441 \tabularnewline
88 & 74 & 110.487 & -36.4868 \tabularnewline
89 & 91 & 105.291 & -14.2911 \tabularnewline
90 & 133 & 104.129 & 28.8708 \tabularnewline
91 & 74 & 97.0886 & -23.0886 \tabularnewline
92 & 114 & 92.925 & 21.075 \tabularnewline
93 & 140 & 108.773 & 31.2269 \tabularnewline
94 & 95 & 94.5069 & 0.493097 \tabularnewline
95 & 98 & 95.1103 & 2.88975 \tabularnewline
96 & 121 & 87.7805 & 33.2195 \tabularnewline
97 & 126 & 103.883 & 22.1171 \tabularnewline
98 & 98 & 91.7812 & 6.21882 \tabularnewline
99 & 95 & 89.3427 & 5.65729 \tabularnewline
100 & 110 & 123.691 & -13.6914 \tabularnewline
101 & 70 & 101.074 & -31.0739 \tabularnewline
102 & 102 & 104.141 & -2.14077 \tabularnewline
103 & 86 & 96.999 & -10.999 \tabularnewline
104 & 130 & 117.103 & 12.8971 \tabularnewline
105 & 96 & 110.558 & -14.5583 \tabularnewline
106 & 102 & 114.759 & -12.7594 \tabularnewline
107 & 100 & 104.12 & -4.12027 \tabularnewline
108 & 94 & 96.9551 & -2.95509 \tabularnewline
109 & 52 & 86.4762 & -34.4762 \tabularnewline
110 & 98 & 109.552 & -11.552 \tabularnewline
111 & 118 & 100.24 & 17.7604 \tabularnewline
112 & 99 & 89.6318 & 9.36816 \tabularnewline
113 & 48 & 87.4771 & -39.4771 \tabularnewline
114 & 50 & 109.669 & -59.6693 \tabularnewline
115 & 150 & 113.633 & 36.3667 \tabularnewline
116 & 154 & 113.114 & 40.8859 \tabularnewline
117 & 109 & 170.499 & -61.499 \tabularnewline
118 & 68 & 81.5243 & -13.5243 \tabularnewline
119 & 194 & 148.431 & 45.5686 \tabularnewline
120 & 158 & 165.189 & -7.18914 \tabularnewline
121 & 159 & 217.647 & -58.6469 \tabularnewline
122 & 67 & 81.5324 & -14.5324 \tabularnewline
123 & 147 & 125.14 & 21.8602 \tabularnewline
124 & 39 & 86.6456 & -47.6456 \tabularnewline
125 & 100 & 117.074 & -17.0743 \tabularnewline
126 & 111 & 97.3858 & 13.6142 \tabularnewline
127 & 138 & 108.251 & 29.7485 \tabularnewline
128 & 101 & 180.692 & -79.6919 \tabularnewline
129 & 131 & 171.017 & -40.0168 \tabularnewline
130 & 101 & 102.888 & -1.88768 \tabularnewline
131 & 114 & 93.6978 & 20.3022 \tabularnewline
132 & 165 & 175.317 & -10.3171 \tabularnewline
133 & 114 & 116.636 & -2.63574 \tabularnewline
134 & 111 & 129.421 & -18.4215 \tabularnewline
135 & 75 & 96.9311 & -21.9311 \tabularnewline
136 & 82 & 119.028 & -37.0276 \tabularnewline
137 & 121 & 99.041 & 21.959 \tabularnewline
138 & 32 & 86.6418 & -54.6418 \tabularnewline
139 & 150 & 135.321 & 14.6786 \tabularnewline
140 & 117 & 146.838 & -29.8379 \tabularnewline
141 & 71 & 89.0571 & -18.0571 \tabularnewline
142 & 165 & 98.0323 & 66.9677 \tabularnewline
143 & 154 & 145.709 & 8.29085 \tabularnewline
144 & 126 & 112.41 & 13.5896 \tabularnewline
145 & 149 & 126.021 & 22.9793 \tabularnewline
146 & 145 & 130.282 & 14.7184 \tabularnewline
147 & 120 & 116.499 & 3.50127 \tabularnewline
148 & 109 & 117.591 & -8.5908 \tabularnewline
149 & 132 & 106.493 & 25.5068 \tabularnewline
150 & 172 & 114.245 & 57.7553 \tabularnewline
151 & 169 & 106.709 & 62.291 \tabularnewline
152 & 114 & 142.817 & -28.8168 \tabularnewline
153 & 156 & 117.506 & 38.4942 \tabularnewline
154 & 172 & 111.762 & 60.2377 \tabularnewline
155 & 68 & 93.9 & -25.9 \tabularnewline
156 & 89 & 109.957 & -20.9566 \tabularnewline
157 & 167 & 152.664 & 14.3363 \tabularnewline
158 & 113 & 114.773 & -1.77284 \tabularnewline
159 & 115 & 138.788 & -23.7875 \tabularnewline
160 & 78 & 117.944 & -39.9436 \tabularnewline
161 & 118 & 136.071 & -18.0707 \tabularnewline
162 & 87 & 100.488 & -13.4875 \tabularnewline
163 & 173 & 130.792 & 42.2081 \tabularnewline
164 & 2 & 81.4016 & -79.4016 \tabularnewline
165 & 162 & 161.539 & 0.46142 \tabularnewline
166 & 49 & 113.505 & -64.5055 \tabularnewline
167 & 122 & 135.414 & -13.4137 \tabularnewline
168 & 96 & 90.8709 & 5.1291 \tabularnewline
169 & 100 & 120.018 & -20.0177 \tabularnewline
170 & 82 & 120.325 & -38.3254 \tabularnewline
171 & 100 & 120.796 & -20.7955 \tabularnewline
172 & 115 & 126.279 & -11.2785 \tabularnewline
173 & 141 & 130.932 & 10.0684 \tabularnewline
174 & 165 & 100.284 & 64.7156 \tabularnewline
175 & 165 & 100.284 & 64.7156 \tabularnewline
176 & 110 & 122.87 & -12.8696 \tabularnewline
177 & 118 & 125.735 & -7.73504 \tabularnewline
178 & 158 & 114.29 & 43.7097 \tabularnewline
179 & 146 & 121.222 & 24.7775 \tabularnewline
180 & 49 & 99.2039 & -50.2039 \tabularnewline
181 & 90 & 150.212 & -60.2117 \tabularnewline
182 & 121 & 112.579 & 8.42127 \tabularnewline
183 & 155 & 132.217 & 22.783 \tabularnewline
184 & 104 & 117.878 & -13.878 \tabularnewline
185 & 147 & 95.8684 & 51.1316 \tabularnewline
186 & 110 & 126.762 & -16.7618 \tabularnewline
187 & 108 & 100.477 & 7.52302 \tabularnewline
188 & 113 & 113.766 & -0.765732 \tabularnewline
189 & 115 & 101.508 & 13.4916 \tabularnewline
190 & 61 & 102.407 & -41.4068 \tabularnewline
191 & 60 & 99.7849 & -39.7849 \tabularnewline
192 & 109 & 114.755 & -5.75477 \tabularnewline
193 & 68 & 87.4189 & -19.4189 \tabularnewline
194 & 111 & 114.068 & -3.06835 \tabularnewline
195 & 77 & 102.257 & -25.2574 \tabularnewline
196 & 73 & 117.599 & -44.5989 \tabularnewline
197 & 151 & 126.81 & 24.1899 \tabularnewline
198 & 89 & 113.32 & -24.3199 \tabularnewline
199 & 78 & 111.623 & -33.6229 \tabularnewline
200 & 110 & 120.054 & -10.0544 \tabularnewline
201 & 220 & 146.679 & 73.3212 \tabularnewline
202 & 65 & 96.078 & -31.078 \tabularnewline
203 & 141 & 106.057 & 34.9427 \tabularnewline
204 & 117 & 106.287 & 10.7126 \tabularnewline
205 & 122 & 96.9696 & 25.0304 \tabularnewline
206 & 63 & 110.456 & -47.4555 \tabularnewline
207 & 44 & 110.107 & -66.1071 \tabularnewline
208 & 52 & 92.483 & -40.483 \tabularnewline
209 & 131 & 132.968 & -1.96793 \tabularnewline
210 & 101 & 131.866 & -30.8661 \tabularnewline
211 & 42 & 101.183 & -59.1831 \tabularnewline
212 & 152 & 102.832 & 49.1679 \tabularnewline
213 & 107 & 136.242 & -29.2417 \tabularnewline
214 & 77 & 93.4291 & -16.4291 \tabularnewline
215 & 154 & 136.943 & 17.0565 \tabularnewline
216 & 103 & 110.875 & -7.87522 \tabularnewline
217 & 96 & 119.535 & -23.5352 \tabularnewline
218 & 175 & 104.387 & 70.613 \tabularnewline
219 & 57 & 107.326 & -50.3258 \tabularnewline
220 & 112 & 130.69 & -18.6899 \tabularnewline
221 & 143 & 122.351 & 20.6485 \tabularnewline
222 & 49 & 93.1354 & -44.1354 \tabularnewline
223 & 110 & 92.5215 & 17.4785 \tabularnewline
224 & 131 & 81.2467 & 49.7533 \tabularnewline
225 & 167 & 120.506 & 46.4936 \tabularnewline
226 & 56 & 98.3196 & -42.3196 \tabularnewline
227 & 137 & 84.4882 & 52.5118 \tabularnewline
228 & 86 & 124.138 & -38.1383 \tabularnewline
229 & 121 & 135.923 & -14.9229 \tabularnewline
230 & 149 & 109.955 & 39.045 \tabularnewline
231 & 168 & 113.189 & 54.8115 \tabularnewline
232 & 140 & 147.754 & -7.75357 \tabularnewline
233 & 88 & 101.081 & -13.0811 \tabularnewline
234 & 168 & 107.328 & 60.6723 \tabularnewline
235 & 94 & 87.5111 & 6.4889 \tabularnewline
236 & 51 & 90.5251 & -39.5251 \tabularnewline
237 & 48 & 83.952 & -35.952 \tabularnewline
238 & 145 & 134.964 & 10.0365 \tabularnewline
239 & 66 & 111.162 & -45.1625 \tabularnewline
240 & 85 & 106.781 & -21.7807 \tabularnewline
241 & 109 & 112.922 & -3.92234 \tabularnewline
242 & 63 & 106.726 & -43.726 \tabularnewline
243 & 102 & 115.895 & -13.8946 \tabularnewline
244 & 162 & 161.539 & 0.46142 \tabularnewline
245 & 86 & 108.225 & -22.2248 \tabularnewline
246 & 114 & 121.935 & -7.93506 \tabularnewline
247 & 164 & 120.823 & 43.177 \tabularnewline
248 & 119 & 113.692 & 5.30844 \tabularnewline
249 & 126 & 113.737 & 12.2631 \tabularnewline
250 & 132 & 97.0994 & 34.9006 \tabularnewline
251 & 142 & 99.324 & 42.676 \tabularnewline
252 & 83 & 118.602 & -35.6022 \tabularnewline
253 & 94 & 116.227 & -22.2274 \tabularnewline
254 & 81 & 122.87 & -41.8704 \tabularnewline
255 & 166 & 104.761 & 61.2389 \tabularnewline
256 & 110 & 134.7 & -24.7003 \tabularnewline
257 & 64 & 99.3615 & -35.3615 \tabularnewline
258 & 93 & 99.5387 & -6.53866 \tabularnewline
259 & 104 & 135.657 & -31.6572 \tabularnewline
260 & 105 & 117.577 & -12.5773 \tabularnewline
261 & 49 & 113.505 & -64.5055 \tabularnewline
262 & 88 & 104.5 & -16.4998 \tabularnewline
263 & 95 & 128.284 & -33.2838 \tabularnewline
264 & 102 & 115.895 & -13.8946 \tabularnewline
265 & 99 & 115.727 & -16.7271 \tabularnewline
266 & 63 & 100.386 & -37.3864 \tabularnewline
267 & 76 & 96.1702 & -20.1702 \tabularnewline
268 & 109 & 119.851 & -10.8513 \tabularnewline
269 & 117 & 108.046 & 8.95353 \tabularnewline
270 & 57 & 99.3588 & -42.3588 \tabularnewline
271 & 120 & 98.3187 & 21.6813 \tabularnewline
272 & 73 & 102.296 & -29.2959 \tabularnewline
273 & 91 & 120.925 & -29.9253 \tabularnewline
274 & 108 & 131.171 & -23.1706 \tabularnewline
275 & 105 & 119.6 & -14.6004 \tabularnewline
276 & 117 & 111.04 & 5.95999 \tabularnewline
277 & 119 & 118.775 & 0.224896 \tabularnewline
278 & 31 & 85.2965 & -54.2965 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=275098&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]128.523[/C][C]20.4775[/C][/ROW]
[ROW][C]2[/C][C]139[/C][C]113.617[/C][C]25.3829[/C][/ROW]
[ROW][C]3[/C][C]148[/C][C]112.968[/C][C]35.0318[/C][/ROW]
[ROW][C]4[/C][C]158[/C][C]139.413[/C][C]18.5867[/C][/ROW]
[ROW][C]5[/C][C]128[/C][C]108.359[/C][C]19.6412[/C][/ROW]
[ROW][C]6[/C][C]224[/C][C]144.561[/C][C]79.4393[/C][/ROW]
[ROW][C]7[/C][C]159[/C][C]133.96[/C][C]25.0401[/C][/ROW]
[ROW][C]8[/C][C]105[/C][C]155.159[/C][C]-50.1585[/C][/ROW]
[ROW][C]9[/C][C]159[/C][C]168.723[/C][C]-9.72319[/C][/ROW]
[ROW][C]10[/C][C]167[/C][C]118.141[/C][C]48.8587[/C][/ROW]
[ROW][C]11[/C][C]165[/C][C]120.992[/C][C]44.0076[/C][/ROW]
[ROW][C]12[/C][C]159[/C][C]134.281[/C][C]24.7188[/C][/ROW]
[ROW][C]13[/C][C]119[/C][C]110.653[/C][C]8.34675[/C][/ROW]
[ROW][C]14[/C][C]176[/C][C]165.656[/C][C]10.3437[/C][/ROW]
[ROW][C]15[/C][C]54[/C][C]91.9503[/C][C]-37.9503[/C][/ROW]
[ROW][C]16[/C][C]91[/C][C]104.418[/C][C]-13.4183[/C][/ROW]
[ROW][C]17[/C][C]163[/C][C]147.738[/C][C]15.2615[/C][/ROW]
[ROW][C]18[/C][C]124[/C][C]113.137[/C][C]10.8627[/C][/ROW]
[ROW][C]19[/C][C]137[/C][C]121.957[/C][C]15.0426[/C][/ROW]
[ROW][C]20[/C][C]121[/C][C]113.304[/C][C]7.69628[/C][/ROW]
[ROW][C]21[/C][C]153[/C][C]100.818[/C][C]52.1821[/C][/ROW]
[ROW][C]22[/C][C]148[/C][C]150.193[/C][C]-2.19257[/C][/ROW]
[ROW][C]23[/C][C]221[/C][C]119.603[/C][C]101.397[/C][/ROW]
[ROW][C]24[/C][C]188[/C][C]146.218[/C][C]41.7824[/C][/ROW]
[ROW][C]25[/C][C]149[/C][C]134.425[/C][C]14.5745[/C][/ROW]
[ROW][C]26[/C][C]244[/C][C]143.775[/C][C]100.225[/C][/ROW]
[ROW][C]27[/C][C]148[/C][C]190.863[/C][C]-42.8628[/C][/ROW]
[ROW][C]28[/C][C]92[/C][C]111.967[/C][C]-19.9673[/C][/ROW]
[ROW][C]29[/C][C]150[/C][C]123.856[/C][C]26.144[/C][/ROW]
[ROW][C]30[/C][C]153[/C][C]109.838[/C][C]43.1624[/C][/ROW]
[ROW][C]31[/C][C]94[/C][C]113.879[/C][C]-19.8793[/C][/ROW]
[ROW][C]32[/C][C]156[/C][C]114.136[/C][C]41.8637[/C][/ROW]
[ROW][C]33[/C][C]132[/C][C]108.866[/C][C]23.1336[/C][/ROW]
[ROW][C]34[/C][C]161[/C][C]157.996[/C][C]3.00356[/C][/ROW]
[ROW][C]35[/C][C]105[/C][C]122.734[/C][C]-17.7345[/C][/ROW]
[ROW][C]36[/C][C]97[/C][C]121.28[/C][C]-24.2799[/C][/ROW]
[ROW][C]37[/C][C]151[/C][C]104.669[/C][C]46.3311[/C][/ROW]
[ROW][C]38[/C][C]131[/C][C]109.513[/C][C]21.4871[/C][/ROW]
[ROW][C]39[/C][C]166[/C][C]144.202[/C][C]21.7983[/C][/ROW]
[ROW][C]40[/C][C]157[/C][C]131.257[/C][C]25.7426[/C][/ROW]
[ROW][C]41[/C][C]111[/C][C]105.525[/C][C]5.47533[/C][/ROW]
[ROW][C]42[/C][C]145[/C][C]128.08[/C][C]16.9204[/C][/ROW]
[ROW][C]43[/C][C]162[/C][C]133.971[/C][C]28.0293[/C][/ROW]
[ROW][C]44[/C][C]163[/C][C]114.174[/C][C]48.8262[/C][/ROW]
[ROW][C]45[/C][C]59[/C][C]105.103[/C][C]-46.1031[/C][/ROW]
[ROW][C]46[/C][C]187[/C][C]135.149[/C][C]51.8512[/C][/ROW]
[ROW][C]47[/C][C]109[/C][C]125.272[/C][C]-16.2722[/C][/ROW]
[ROW][C]48[/C][C]90[/C][C]132.789[/C][C]-42.7891[/C][/ROW]
[ROW][C]49[/C][C]105[/C][C]108.261[/C][C]-3.26117[/C][/ROW]
[ROW][C]50[/C][C]83[/C][C]97.71[/C][C]-14.71[/C][/ROW]
[ROW][C]51[/C][C]116[/C][C]112.534[/C][C]3.46604[/C][/ROW]
[ROW][C]52[/C][C]42[/C][C]93.4523[/C][C]-51.4523[/C][/ROW]
[ROW][C]53[/C][C]148[/C][C]99.5637[/C][C]48.4363[/C][/ROW]
[ROW][C]54[/C][C]155[/C][C]99.9702[/C][C]55.0298[/C][/ROW]
[ROW][C]55[/C][C]125[/C][C]128.282[/C][C]-3.28193[/C][/ROW]
[ROW][C]56[/C][C]116[/C][C]105.679[/C][C]10.3213[/C][/ROW]
[ROW][C]57[/C][C]128[/C][C]101.467[/C][C]26.5332[/C][/ROW]
[ROW][C]58[/C][C]138[/C][C]116.645[/C][C]21.3554[/C][/ROW]
[ROW][C]59[/C][C]49[/C][C]75.079[/C][C]-26.079[/C][/ROW]
[ROW][C]60[/C][C]96[/C][C]114.339[/C][C]-18.3386[/C][/ROW]
[ROW][C]61[/C][C]164[/C][C]141.19[/C][C]22.8099[/C][/ROW]
[ROW][C]62[/C][C]162[/C][C]106.622[/C][C]55.3776[/C][/ROW]
[ROW][C]63[/C][C]99[/C][C]106.218[/C][C]-7.21837[/C][/ROW]
[ROW][C]64[/C][C]202[/C][C]140.232[/C][C]61.7684[/C][/ROW]
[ROW][C]65[/C][C]186[/C][C]112.924[/C][C]73.0758[/C][/ROW]
[ROW][C]66[/C][C]66[/C][C]100.779[/C][C]-34.7785[/C][/ROW]
[ROW][C]67[/C][C]183[/C][C]156.698[/C][C]26.3017[/C][/ROW]
[ROW][C]68[/C][C]214[/C][C]157.669[/C][C]56.3307[/C][/ROW]
[ROW][C]69[/C][C]188[/C][C]126.364[/C][C]61.6363[/C][/ROW]
[ROW][C]70[/C][C]104[/C][C]112.292[/C][C]-8.29229[/C][/ROW]
[ROW][C]71[/C][C]177[/C][C]155.16[/C][C]21.8404[/C][/ROW]
[ROW][C]72[/C][C]126[/C][C]104.696[/C][C]21.3042[/C][/ROW]
[ROW][C]73[/C][C]76[/C][C]107.616[/C][C]-31.6157[/C][/ROW]
[ROW][C]74[/C][C]99[/C][C]145.532[/C][C]-46.5319[/C][/ROW]
[ROW][C]75[/C][C]139[/C][C]122.724[/C][C]16.2763[/C][/ROW]
[ROW][C]76[/C][C]162[/C][C]136.064[/C][C]25.9355[/C][/ROW]
[ROW][C]77[/C][C]108[/C][C]108.54[/C][C]-0.539777[/C][/ROW]
[ROW][C]78[/C][C]159[/C][C]129.496[/C][C]29.5044[/C][/ROW]
[ROW][C]79[/C][C]74[/C][C]107.755[/C][C]-33.7546[/C][/ROW]
[ROW][C]80[/C][C]110[/C][C]122.848[/C][C]-12.848[/C][/ROW]
[ROW][C]81[/C][C]96[/C][C]112.618[/C][C]-16.6181[/C][/ROW]
[ROW][C]82[/C][C]116[/C][C]100.284[/C][C]15.7156[/C][/ROW]
[ROW][C]83[/C][C]87[/C][C]119.177[/C][C]-32.177[/C][/ROW]
[ROW][C]84[/C][C]97[/C][C]90.9888[/C][C]6.01122[/C][/ROW]
[ROW][C]85[/C][C]127[/C][C]120.642[/C][C]6.35848[/C][/ROW]
[ROW][C]86[/C][C]106[/C][C]136.278[/C][C]-30.2784[/C][/ROW]
[ROW][C]87[/C][C]80[/C][C]117.444[/C][C]-37.4441[/C][/ROW]
[ROW][C]88[/C][C]74[/C][C]110.487[/C][C]-36.4868[/C][/ROW]
[ROW][C]89[/C][C]91[/C][C]105.291[/C][C]-14.2911[/C][/ROW]
[ROW][C]90[/C][C]133[/C][C]104.129[/C][C]28.8708[/C][/ROW]
[ROW][C]91[/C][C]74[/C][C]97.0886[/C][C]-23.0886[/C][/ROW]
[ROW][C]92[/C][C]114[/C][C]92.925[/C][C]21.075[/C][/ROW]
[ROW][C]93[/C][C]140[/C][C]108.773[/C][C]31.2269[/C][/ROW]
[ROW][C]94[/C][C]95[/C][C]94.5069[/C][C]0.493097[/C][/ROW]
[ROW][C]95[/C][C]98[/C][C]95.1103[/C][C]2.88975[/C][/ROW]
[ROW][C]96[/C][C]121[/C][C]87.7805[/C][C]33.2195[/C][/ROW]
[ROW][C]97[/C][C]126[/C][C]103.883[/C][C]22.1171[/C][/ROW]
[ROW][C]98[/C][C]98[/C][C]91.7812[/C][C]6.21882[/C][/ROW]
[ROW][C]99[/C][C]95[/C][C]89.3427[/C][C]5.65729[/C][/ROW]
[ROW][C]100[/C][C]110[/C][C]123.691[/C][C]-13.6914[/C][/ROW]
[ROW][C]101[/C][C]70[/C][C]101.074[/C][C]-31.0739[/C][/ROW]
[ROW][C]102[/C][C]102[/C][C]104.141[/C][C]-2.14077[/C][/ROW]
[ROW][C]103[/C][C]86[/C][C]96.999[/C][C]-10.999[/C][/ROW]
[ROW][C]104[/C][C]130[/C][C]117.103[/C][C]12.8971[/C][/ROW]
[ROW][C]105[/C][C]96[/C][C]110.558[/C][C]-14.5583[/C][/ROW]
[ROW][C]106[/C][C]102[/C][C]114.759[/C][C]-12.7594[/C][/ROW]
[ROW][C]107[/C][C]100[/C][C]104.12[/C][C]-4.12027[/C][/ROW]
[ROW][C]108[/C][C]94[/C][C]96.9551[/C][C]-2.95509[/C][/ROW]
[ROW][C]109[/C][C]52[/C][C]86.4762[/C][C]-34.4762[/C][/ROW]
[ROW][C]110[/C][C]98[/C][C]109.552[/C][C]-11.552[/C][/ROW]
[ROW][C]111[/C][C]118[/C][C]100.24[/C][C]17.7604[/C][/ROW]
[ROW][C]112[/C][C]99[/C][C]89.6318[/C][C]9.36816[/C][/ROW]
[ROW][C]113[/C][C]48[/C][C]87.4771[/C][C]-39.4771[/C][/ROW]
[ROW][C]114[/C][C]50[/C][C]109.669[/C][C]-59.6693[/C][/ROW]
[ROW][C]115[/C][C]150[/C][C]113.633[/C][C]36.3667[/C][/ROW]
[ROW][C]116[/C][C]154[/C][C]113.114[/C][C]40.8859[/C][/ROW]
[ROW][C]117[/C][C]109[/C][C]170.499[/C][C]-61.499[/C][/ROW]
[ROW][C]118[/C][C]68[/C][C]81.5243[/C][C]-13.5243[/C][/ROW]
[ROW][C]119[/C][C]194[/C][C]148.431[/C][C]45.5686[/C][/ROW]
[ROW][C]120[/C][C]158[/C][C]165.189[/C][C]-7.18914[/C][/ROW]
[ROW][C]121[/C][C]159[/C][C]217.647[/C][C]-58.6469[/C][/ROW]
[ROW][C]122[/C][C]67[/C][C]81.5324[/C][C]-14.5324[/C][/ROW]
[ROW][C]123[/C][C]147[/C][C]125.14[/C][C]21.8602[/C][/ROW]
[ROW][C]124[/C][C]39[/C][C]86.6456[/C][C]-47.6456[/C][/ROW]
[ROW][C]125[/C][C]100[/C][C]117.074[/C][C]-17.0743[/C][/ROW]
[ROW][C]126[/C][C]111[/C][C]97.3858[/C][C]13.6142[/C][/ROW]
[ROW][C]127[/C][C]138[/C][C]108.251[/C][C]29.7485[/C][/ROW]
[ROW][C]128[/C][C]101[/C][C]180.692[/C][C]-79.6919[/C][/ROW]
[ROW][C]129[/C][C]131[/C][C]171.017[/C][C]-40.0168[/C][/ROW]
[ROW][C]130[/C][C]101[/C][C]102.888[/C][C]-1.88768[/C][/ROW]
[ROW][C]131[/C][C]114[/C][C]93.6978[/C][C]20.3022[/C][/ROW]
[ROW][C]132[/C][C]165[/C][C]175.317[/C][C]-10.3171[/C][/ROW]
[ROW][C]133[/C][C]114[/C][C]116.636[/C][C]-2.63574[/C][/ROW]
[ROW][C]134[/C][C]111[/C][C]129.421[/C][C]-18.4215[/C][/ROW]
[ROW][C]135[/C][C]75[/C][C]96.9311[/C][C]-21.9311[/C][/ROW]
[ROW][C]136[/C][C]82[/C][C]119.028[/C][C]-37.0276[/C][/ROW]
[ROW][C]137[/C][C]121[/C][C]99.041[/C][C]21.959[/C][/ROW]
[ROW][C]138[/C][C]32[/C][C]86.6418[/C][C]-54.6418[/C][/ROW]
[ROW][C]139[/C][C]150[/C][C]135.321[/C][C]14.6786[/C][/ROW]
[ROW][C]140[/C][C]117[/C][C]146.838[/C][C]-29.8379[/C][/ROW]
[ROW][C]141[/C][C]71[/C][C]89.0571[/C][C]-18.0571[/C][/ROW]
[ROW][C]142[/C][C]165[/C][C]98.0323[/C][C]66.9677[/C][/ROW]
[ROW][C]143[/C][C]154[/C][C]145.709[/C][C]8.29085[/C][/ROW]
[ROW][C]144[/C][C]126[/C][C]112.41[/C][C]13.5896[/C][/ROW]
[ROW][C]145[/C][C]149[/C][C]126.021[/C][C]22.9793[/C][/ROW]
[ROW][C]146[/C][C]145[/C][C]130.282[/C][C]14.7184[/C][/ROW]
[ROW][C]147[/C][C]120[/C][C]116.499[/C][C]3.50127[/C][/ROW]
[ROW][C]148[/C][C]109[/C][C]117.591[/C][C]-8.5908[/C][/ROW]
[ROW][C]149[/C][C]132[/C][C]106.493[/C][C]25.5068[/C][/ROW]
[ROW][C]150[/C][C]172[/C][C]114.245[/C][C]57.7553[/C][/ROW]
[ROW][C]151[/C][C]169[/C][C]106.709[/C][C]62.291[/C][/ROW]
[ROW][C]152[/C][C]114[/C][C]142.817[/C][C]-28.8168[/C][/ROW]
[ROW][C]153[/C][C]156[/C][C]117.506[/C][C]38.4942[/C][/ROW]
[ROW][C]154[/C][C]172[/C][C]111.762[/C][C]60.2377[/C][/ROW]
[ROW][C]155[/C][C]68[/C][C]93.9[/C][C]-25.9[/C][/ROW]
[ROW][C]156[/C][C]89[/C][C]109.957[/C][C]-20.9566[/C][/ROW]
[ROW][C]157[/C][C]167[/C][C]152.664[/C][C]14.3363[/C][/ROW]
[ROW][C]158[/C][C]113[/C][C]114.773[/C][C]-1.77284[/C][/ROW]
[ROW][C]159[/C][C]115[/C][C]138.788[/C][C]-23.7875[/C][/ROW]
[ROW][C]160[/C][C]78[/C][C]117.944[/C][C]-39.9436[/C][/ROW]
[ROW][C]161[/C][C]118[/C][C]136.071[/C][C]-18.0707[/C][/ROW]
[ROW][C]162[/C][C]87[/C][C]100.488[/C][C]-13.4875[/C][/ROW]
[ROW][C]163[/C][C]173[/C][C]130.792[/C][C]42.2081[/C][/ROW]
[ROW][C]164[/C][C]2[/C][C]81.4016[/C][C]-79.4016[/C][/ROW]
[ROW][C]165[/C][C]162[/C][C]161.539[/C][C]0.46142[/C][/ROW]
[ROW][C]166[/C][C]49[/C][C]113.505[/C][C]-64.5055[/C][/ROW]
[ROW][C]167[/C][C]122[/C][C]135.414[/C][C]-13.4137[/C][/ROW]
[ROW][C]168[/C][C]96[/C][C]90.8709[/C][C]5.1291[/C][/ROW]
[ROW][C]169[/C][C]100[/C][C]120.018[/C][C]-20.0177[/C][/ROW]
[ROW][C]170[/C][C]82[/C][C]120.325[/C][C]-38.3254[/C][/ROW]
[ROW][C]171[/C][C]100[/C][C]120.796[/C][C]-20.7955[/C][/ROW]
[ROW][C]172[/C][C]115[/C][C]126.279[/C][C]-11.2785[/C][/ROW]
[ROW][C]173[/C][C]141[/C][C]130.932[/C][C]10.0684[/C][/ROW]
[ROW][C]174[/C][C]165[/C][C]100.284[/C][C]64.7156[/C][/ROW]
[ROW][C]175[/C][C]165[/C][C]100.284[/C][C]64.7156[/C][/ROW]
[ROW][C]176[/C][C]110[/C][C]122.87[/C][C]-12.8696[/C][/ROW]
[ROW][C]177[/C][C]118[/C][C]125.735[/C][C]-7.73504[/C][/ROW]
[ROW][C]178[/C][C]158[/C][C]114.29[/C][C]43.7097[/C][/ROW]
[ROW][C]179[/C][C]146[/C][C]121.222[/C][C]24.7775[/C][/ROW]
[ROW][C]180[/C][C]49[/C][C]99.2039[/C][C]-50.2039[/C][/ROW]
[ROW][C]181[/C][C]90[/C][C]150.212[/C][C]-60.2117[/C][/ROW]
[ROW][C]182[/C][C]121[/C][C]112.579[/C][C]8.42127[/C][/ROW]
[ROW][C]183[/C][C]155[/C][C]132.217[/C][C]22.783[/C][/ROW]
[ROW][C]184[/C][C]104[/C][C]117.878[/C][C]-13.878[/C][/ROW]
[ROW][C]185[/C][C]147[/C][C]95.8684[/C][C]51.1316[/C][/ROW]
[ROW][C]186[/C][C]110[/C][C]126.762[/C][C]-16.7618[/C][/ROW]
[ROW][C]187[/C][C]108[/C][C]100.477[/C][C]7.52302[/C][/ROW]
[ROW][C]188[/C][C]113[/C][C]113.766[/C][C]-0.765732[/C][/ROW]
[ROW][C]189[/C][C]115[/C][C]101.508[/C][C]13.4916[/C][/ROW]
[ROW][C]190[/C][C]61[/C][C]102.407[/C][C]-41.4068[/C][/ROW]
[ROW][C]191[/C][C]60[/C][C]99.7849[/C][C]-39.7849[/C][/ROW]
[ROW][C]192[/C][C]109[/C][C]114.755[/C][C]-5.75477[/C][/ROW]
[ROW][C]193[/C][C]68[/C][C]87.4189[/C][C]-19.4189[/C][/ROW]
[ROW][C]194[/C][C]111[/C][C]114.068[/C][C]-3.06835[/C][/ROW]
[ROW][C]195[/C][C]77[/C][C]102.257[/C][C]-25.2574[/C][/ROW]
[ROW][C]196[/C][C]73[/C][C]117.599[/C][C]-44.5989[/C][/ROW]
[ROW][C]197[/C][C]151[/C][C]126.81[/C][C]24.1899[/C][/ROW]
[ROW][C]198[/C][C]89[/C][C]113.32[/C][C]-24.3199[/C][/ROW]
[ROW][C]199[/C][C]78[/C][C]111.623[/C][C]-33.6229[/C][/ROW]
[ROW][C]200[/C][C]110[/C][C]120.054[/C][C]-10.0544[/C][/ROW]
[ROW][C]201[/C][C]220[/C][C]146.679[/C][C]73.3212[/C][/ROW]
[ROW][C]202[/C][C]65[/C][C]96.078[/C][C]-31.078[/C][/ROW]
[ROW][C]203[/C][C]141[/C][C]106.057[/C][C]34.9427[/C][/ROW]
[ROW][C]204[/C][C]117[/C][C]106.287[/C][C]10.7126[/C][/ROW]
[ROW][C]205[/C][C]122[/C][C]96.9696[/C][C]25.0304[/C][/ROW]
[ROW][C]206[/C][C]63[/C][C]110.456[/C][C]-47.4555[/C][/ROW]
[ROW][C]207[/C][C]44[/C][C]110.107[/C][C]-66.1071[/C][/ROW]
[ROW][C]208[/C][C]52[/C][C]92.483[/C][C]-40.483[/C][/ROW]
[ROW][C]209[/C][C]131[/C][C]132.968[/C][C]-1.96793[/C][/ROW]
[ROW][C]210[/C][C]101[/C][C]131.866[/C][C]-30.8661[/C][/ROW]
[ROW][C]211[/C][C]42[/C][C]101.183[/C][C]-59.1831[/C][/ROW]
[ROW][C]212[/C][C]152[/C][C]102.832[/C][C]49.1679[/C][/ROW]
[ROW][C]213[/C][C]107[/C][C]136.242[/C][C]-29.2417[/C][/ROW]
[ROW][C]214[/C][C]77[/C][C]93.4291[/C][C]-16.4291[/C][/ROW]
[ROW][C]215[/C][C]154[/C][C]136.943[/C][C]17.0565[/C][/ROW]
[ROW][C]216[/C][C]103[/C][C]110.875[/C][C]-7.87522[/C][/ROW]
[ROW][C]217[/C][C]96[/C][C]119.535[/C][C]-23.5352[/C][/ROW]
[ROW][C]218[/C][C]175[/C][C]104.387[/C][C]70.613[/C][/ROW]
[ROW][C]219[/C][C]57[/C][C]107.326[/C][C]-50.3258[/C][/ROW]
[ROW][C]220[/C][C]112[/C][C]130.69[/C][C]-18.6899[/C][/ROW]
[ROW][C]221[/C][C]143[/C][C]122.351[/C][C]20.6485[/C][/ROW]
[ROW][C]222[/C][C]49[/C][C]93.1354[/C][C]-44.1354[/C][/ROW]
[ROW][C]223[/C][C]110[/C][C]92.5215[/C][C]17.4785[/C][/ROW]
[ROW][C]224[/C][C]131[/C][C]81.2467[/C][C]49.7533[/C][/ROW]
[ROW][C]225[/C][C]167[/C][C]120.506[/C][C]46.4936[/C][/ROW]
[ROW][C]226[/C][C]56[/C][C]98.3196[/C][C]-42.3196[/C][/ROW]
[ROW][C]227[/C][C]137[/C][C]84.4882[/C][C]52.5118[/C][/ROW]
[ROW][C]228[/C][C]86[/C][C]124.138[/C][C]-38.1383[/C][/ROW]
[ROW][C]229[/C][C]121[/C][C]135.923[/C][C]-14.9229[/C][/ROW]
[ROW][C]230[/C][C]149[/C][C]109.955[/C][C]39.045[/C][/ROW]
[ROW][C]231[/C][C]168[/C][C]113.189[/C][C]54.8115[/C][/ROW]
[ROW][C]232[/C][C]140[/C][C]147.754[/C][C]-7.75357[/C][/ROW]
[ROW][C]233[/C][C]88[/C][C]101.081[/C][C]-13.0811[/C][/ROW]
[ROW][C]234[/C][C]168[/C][C]107.328[/C][C]60.6723[/C][/ROW]
[ROW][C]235[/C][C]94[/C][C]87.5111[/C][C]6.4889[/C][/ROW]
[ROW][C]236[/C][C]51[/C][C]90.5251[/C][C]-39.5251[/C][/ROW]
[ROW][C]237[/C][C]48[/C][C]83.952[/C][C]-35.952[/C][/ROW]
[ROW][C]238[/C][C]145[/C][C]134.964[/C][C]10.0365[/C][/ROW]
[ROW][C]239[/C][C]66[/C][C]111.162[/C][C]-45.1625[/C][/ROW]
[ROW][C]240[/C][C]85[/C][C]106.781[/C][C]-21.7807[/C][/ROW]
[ROW][C]241[/C][C]109[/C][C]112.922[/C][C]-3.92234[/C][/ROW]
[ROW][C]242[/C][C]63[/C][C]106.726[/C][C]-43.726[/C][/ROW]
[ROW][C]243[/C][C]102[/C][C]115.895[/C][C]-13.8946[/C][/ROW]
[ROW][C]244[/C][C]162[/C][C]161.539[/C][C]0.46142[/C][/ROW]
[ROW][C]245[/C][C]86[/C][C]108.225[/C][C]-22.2248[/C][/ROW]
[ROW][C]246[/C][C]114[/C][C]121.935[/C][C]-7.93506[/C][/ROW]
[ROW][C]247[/C][C]164[/C][C]120.823[/C][C]43.177[/C][/ROW]
[ROW][C]248[/C][C]119[/C][C]113.692[/C][C]5.30844[/C][/ROW]
[ROW][C]249[/C][C]126[/C][C]113.737[/C][C]12.2631[/C][/ROW]
[ROW][C]250[/C][C]132[/C][C]97.0994[/C][C]34.9006[/C][/ROW]
[ROW][C]251[/C][C]142[/C][C]99.324[/C][C]42.676[/C][/ROW]
[ROW][C]252[/C][C]83[/C][C]118.602[/C][C]-35.6022[/C][/ROW]
[ROW][C]253[/C][C]94[/C][C]116.227[/C][C]-22.2274[/C][/ROW]
[ROW][C]254[/C][C]81[/C][C]122.87[/C][C]-41.8704[/C][/ROW]
[ROW][C]255[/C][C]166[/C][C]104.761[/C][C]61.2389[/C][/ROW]
[ROW][C]256[/C][C]110[/C][C]134.7[/C][C]-24.7003[/C][/ROW]
[ROW][C]257[/C][C]64[/C][C]99.3615[/C][C]-35.3615[/C][/ROW]
[ROW][C]258[/C][C]93[/C][C]99.5387[/C][C]-6.53866[/C][/ROW]
[ROW][C]259[/C][C]104[/C][C]135.657[/C][C]-31.6572[/C][/ROW]
[ROW][C]260[/C][C]105[/C][C]117.577[/C][C]-12.5773[/C][/ROW]
[ROW][C]261[/C][C]49[/C][C]113.505[/C][C]-64.5055[/C][/ROW]
[ROW][C]262[/C][C]88[/C][C]104.5[/C][C]-16.4998[/C][/ROW]
[ROW][C]263[/C][C]95[/C][C]128.284[/C][C]-33.2838[/C][/ROW]
[ROW][C]264[/C][C]102[/C][C]115.895[/C][C]-13.8946[/C][/ROW]
[ROW][C]265[/C][C]99[/C][C]115.727[/C][C]-16.7271[/C][/ROW]
[ROW][C]266[/C][C]63[/C][C]100.386[/C][C]-37.3864[/C][/ROW]
[ROW][C]267[/C][C]76[/C][C]96.1702[/C][C]-20.1702[/C][/ROW]
[ROW][C]268[/C][C]109[/C][C]119.851[/C][C]-10.8513[/C][/ROW]
[ROW][C]269[/C][C]117[/C][C]108.046[/C][C]8.95353[/C][/ROW]
[ROW][C]270[/C][C]57[/C][C]99.3588[/C][C]-42.3588[/C][/ROW]
[ROW][C]271[/C][C]120[/C][C]98.3187[/C][C]21.6813[/C][/ROW]
[ROW][C]272[/C][C]73[/C][C]102.296[/C][C]-29.2959[/C][/ROW]
[ROW][C]273[/C][C]91[/C][C]120.925[/C][C]-29.9253[/C][/ROW]
[ROW][C]274[/C][C]108[/C][C]131.171[/C][C]-23.1706[/C][/ROW]
[ROW][C]275[/C][C]105[/C][C]119.6[/C][C]-14.6004[/C][/ROW]
[ROW][C]276[/C][C]117[/C][C]111.04[/C][C]5.95999[/C][/ROW]
[ROW][C]277[/C][C]119[/C][C]118.775[/C][C]0.224896[/C][/ROW]
[ROW][C]278[/C][C]31[/C][C]85.2965[/C][C]-54.2965[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=275098&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=275098&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
1149128.52320.4775
2139113.61725.3829
3148112.96835.0318
4158139.41318.5867
5128108.35919.6412
6224144.56179.4393
7159133.9625.0401
8105155.159-50.1585
9159168.723-9.72319
10167118.14148.8587
11165120.99244.0076
12159134.28124.7188
13119110.6538.34675
14176165.65610.3437
155491.9503-37.9503
1691104.418-13.4183
17163147.73815.2615
18124113.13710.8627
19137121.95715.0426
20121113.3047.69628
21153100.81852.1821
22148150.193-2.19257
23221119.603101.397
24188146.21841.7824
25149134.42514.5745
26244143.775100.225
27148190.863-42.8628
2892111.967-19.9673
29150123.85626.144
30153109.83843.1624
3194113.879-19.8793
32156114.13641.8637
33132108.86623.1336
34161157.9963.00356
35105122.734-17.7345
3697121.28-24.2799
37151104.66946.3311
38131109.51321.4871
39166144.20221.7983
40157131.25725.7426
41111105.5255.47533
42145128.0816.9204
43162133.97128.0293
44163114.17448.8262
4559105.103-46.1031
46187135.14951.8512
47109125.272-16.2722
4890132.789-42.7891
49105108.261-3.26117
508397.71-14.71
51116112.5343.46604
524293.4523-51.4523
5314899.563748.4363
5415599.970255.0298
55125128.282-3.28193
56116105.67910.3213
57128101.46726.5332
58138116.64521.3554
594975.079-26.079
6096114.339-18.3386
61164141.1922.8099
62162106.62255.3776
6399106.218-7.21837
64202140.23261.7684
65186112.92473.0758
6666100.779-34.7785
67183156.69826.3017
68214157.66956.3307
69188126.36461.6363
70104112.292-8.29229
71177155.1621.8404
72126104.69621.3042
7376107.616-31.6157
7499145.532-46.5319
75139122.72416.2763
76162136.06425.9355
77108108.54-0.539777
78159129.49629.5044
7974107.755-33.7546
80110122.848-12.848
8196112.618-16.6181
82116100.28415.7156
8387119.177-32.177
849790.98886.01122
85127120.6426.35848
86106136.278-30.2784
8780117.444-37.4441
8874110.487-36.4868
8991105.291-14.2911
90133104.12928.8708
917497.0886-23.0886
9211492.92521.075
93140108.77331.2269
949594.50690.493097
959895.11032.88975
9612187.780533.2195
97126103.88322.1171
989891.78126.21882
999589.34275.65729
100110123.691-13.6914
10170101.074-31.0739
102102104.141-2.14077
1038696.999-10.999
104130117.10312.8971
10596110.558-14.5583
106102114.759-12.7594
107100104.12-4.12027
1089496.9551-2.95509
1095286.4762-34.4762
11098109.552-11.552
111118100.2417.7604
1129989.63189.36816
1134887.4771-39.4771
11450109.669-59.6693
115150113.63336.3667
116154113.11440.8859
117109170.499-61.499
1186881.5243-13.5243
119194148.43145.5686
120158165.189-7.18914
121159217.647-58.6469
1226781.5324-14.5324
123147125.1421.8602
1243986.6456-47.6456
125100117.074-17.0743
12611197.385813.6142
127138108.25129.7485
128101180.692-79.6919
129131171.017-40.0168
130101102.888-1.88768
13111493.697820.3022
132165175.317-10.3171
133114116.636-2.63574
134111129.421-18.4215
1357596.9311-21.9311
13682119.028-37.0276
13712199.04121.959
1383286.6418-54.6418
139150135.32114.6786
140117146.838-29.8379
1417189.0571-18.0571
14216598.032366.9677
143154145.7098.29085
144126112.4113.5896
145149126.02122.9793
146145130.28214.7184
147120116.4993.50127
148109117.591-8.5908
149132106.49325.5068
150172114.24557.7553
151169106.70962.291
152114142.817-28.8168
153156117.50638.4942
154172111.76260.2377
1556893.9-25.9
15689109.957-20.9566
157167152.66414.3363
158113114.773-1.77284
159115138.788-23.7875
16078117.944-39.9436
161118136.071-18.0707
16287100.488-13.4875
163173130.79242.2081
164281.4016-79.4016
165162161.5390.46142
16649113.505-64.5055
167122135.414-13.4137
1689690.87095.1291
169100120.018-20.0177
17082120.325-38.3254
171100120.796-20.7955
172115126.279-11.2785
173141130.93210.0684
174165100.28464.7156
175165100.28464.7156
176110122.87-12.8696
177118125.735-7.73504
178158114.2943.7097
179146121.22224.7775
1804999.2039-50.2039
18190150.212-60.2117
182121112.5798.42127
183155132.21722.783
184104117.878-13.878
18514795.868451.1316
186110126.762-16.7618
187108100.4777.52302
188113113.766-0.765732
189115101.50813.4916
19061102.407-41.4068
1916099.7849-39.7849
192109114.755-5.75477
1936887.4189-19.4189
194111114.068-3.06835
19577102.257-25.2574
19673117.599-44.5989
197151126.8124.1899
19889113.32-24.3199
19978111.623-33.6229
200110120.054-10.0544
201220146.67973.3212
2026596.078-31.078
203141106.05734.9427
204117106.28710.7126
20512296.969625.0304
20663110.456-47.4555
20744110.107-66.1071
2085292.483-40.483
209131132.968-1.96793
210101131.866-30.8661
21142101.183-59.1831
212152102.83249.1679
213107136.242-29.2417
2147793.4291-16.4291
215154136.94317.0565
216103110.875-7.87522
21796119.535-23.5352
218175104.38770.613
21957107.326-50.3258
220112130.69-18.6899
221143122.35120.6485
2224993.1354-44.1354
22311092.521517.4785
22413181.246749.7533
225167120.50646.4936
2265698.3196-42.3196
22713784.488252.5118
22886124.138-38.1383
229121135.923-14.9229
230149109.95539.045
231168113.18954.8115
232140147.754-7.75357
23388101.081-13.0811
234168107.32860.6723
2359487.51116.4889
2365190.5251-39.5251
2374883.952-35.952
238145134.96410.0365
23966111.162-45.1625
24085106.781-21.7807
241109112.922-3.92234
24263106.726-43.726
243102115.895-13.8946
244162161.5390.46142
24586108.225-22.2248
246114121.935-7.93506
247164120.82343.177
248119113.6925.30844
249126113.73712.2631
25013297.099434.9006
25114299.32442.676
25283118.602-35.6022
25394116.227-22.2274
25481122.87-41.8704
255166104.76161.2389
256110134.7-24.7003
2576499.3615-35.3615
2589399.5387-6.53866
259104135.657-31.6572
260105117.577-12.5773
26149113.505-64.5055
26288104.5-16.4998
26395128.284-33.2838
264102115.895-13.8946
26599115.727-16.7271
26663100.386-37.3864
2677696.1702-20.1702
268109119.851-10.8513
269117108.0468.95353
2705799.3588-42.3588
27112098.318721.6813
27273102.296-29.2959
27391120.925-29.9253
274108131.171-23.1706
275105119.6-14.6004
276117111.045.95999
277119118.7750.224896
2783185.2965-54.2965






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.06086790.1217360.939132
80.7010350.597930.298965
90.6024820.7950370.397518
100.5165280.9669440.483472
110.4312570.8625140.568743
120.3588820.7177650.641118
130.3992730.7985460.600727
140.3110140.6220270.688986
150.6318140.7363720.368186
160.6166880.7666240.383312
170.5361920.9276160.463808
180.4590450.9180890.540955
190.3830020.7660050.616998
200.3122440.6244880.687756
210.304550.6091010.69545
220.2910530.5821050.708947
230.6429460.7141070.357054
240.62170.7566010.3783
250.5606560.8786890.439344
260.7904170.4191660.209583
270.8153020.3693960.184698
280.8253070.3493860.174693
290.7897410.4205180.210259
300.7670610.4658770.232939
310.8005150.3989690.199485
320.7821510.4356990.217849
330.7430330.5139330.256967
340.6983080.6033830.301692
350.6968540.6062910.303146
360.6941550.6116890.305845
370.6752170.6495650.324783
380.6359410.7281190.364059
390.5968330.8063330.403167
400.5549150.8901710.445085
410.5225580.9548830.477442
420.4767830.9535660.523217
430.4391750.8783510.560825
440.4267470.8534940.573253
450.5579730.8840540.442027
460.5897180.8205640.410282
470.5939030.8121950.406097
480.6601610.6796780.339839
490.6421520.7156970.357848
500.6141160.7717670.385884
510.5745020.8509970.425498
520.6862220.6275550.313778
530.6966420.6067160.303358
540.7217020.5565950.278298
550.6911010.6177980.308899
560.6547610.6904790.345239
570.6293080.7413850.370692
580.5925940.8148120.407406
590.5959850.808030.404015
600.5933560.8132880.406644
610.5625060.8749880.437494
620.6220080.7559830.377992
630.5984850.8030310.401515
640.6391920.7216150.360808
650.7408470.5183070.259153
660.7601620.4796760.239838
670.7442330.5115330.255767
680.7591890.4816220.240811
690.8139620.3720750.186038
700.79710.40580.2029
710.7813430.4373140.218657
720.7579490.4841010.242051
730.7772480.4455040.222752
740.8340430.3319150.165957
750.8129280.3741430.187072
760.7970660.4058680.202934
770.7716760.4566490.228324
780.7552880.4894230.244712
790.7647090.4705820.235291
800.7484780.5030440.251522
810.732350.53530.26765
820.7027050.5945910.297295
830.7194250.561150.280575
840.6908420.6183160.309158
850.6620640.6758720.337936
860.6812290.6375430.318771
870.6979050.604190.302095
880.7031590.5936820.296841
890.6774640.6450720.322536
900.6578460.6843070.342154
910.6550240.6899510.344976
920.641320.7173590.35868
930.6296410.7407170.370359
940.5963660.8072670.403634
950.564040.8719190.43596
960.5638370.8723260.436163
970.5491610.9016770.450839
980.5143550.971290.485645
990.4787460.9574910.521254
1000.4510070.9020150.548993
1010.4603640.9207280.539636
1020.4284980.8569970.571502
1030.399760.7995190.60024
1040.3774690.7549390.622531
1050.3612160.7224330.638784
1060.3355110.6710220.664489
1070.306070.6121410.69393
1080.2824420.5648840.717558
1090.2787110.5574220.721289
1100.2584020.5168040.741598
1110.2389240.4778470.761076
1120.2147970.4295940.785203
1130.2101840.4203680.789816
1140.3006120.6012230.699388
1150.2951150.590230.704885
1160.2948570.5897150.705143
1170.4318380.8636760.568162
1180.4064610.8129220.593539
1190.4297920.8595830.570208
1200.4077170.8154340.592283
1210.4877710.9755420.512229
1220.4689640.9379280.531036
1230.4447690.8895380.555231
1240.5069450.9861110.493055
1250.481570.9631390.51843
1260.4527990.9055990.547201
1270.4399830.8799650.560017
1280.566110.867780.43389
1290.5799970.8400070.420003
1300.546650.90670.45335
1310.5226770.9546460.477323
1320.4904330.9808650.509567
1330.457070.9141390.54293
1340.4338430.8676850.566157
1350.418230.836460.58177
1360.4242430.8484860.575757
1370.3984970.7969940.601503
1380.4453610.8907210.554639
1390.41750.8350010.5825
1400.4115870.8231740.588413
1410.3894320.7788640.610568
1420.4757850.951570.524215
1430.4461270.8922550.553873
1440.4162330.8324660.583767
1450.3977450.795490.602255
1460.3710050.742010.628995
1470.3408110.6816210.659189
1480.3128710.6257410.687129
1490.30410.6081990.6959
1500.3554820.7109650.644518
1510.47080.94160.5292
1520.4629450.9258910.537055
1530.4684660.9369320.531534
1540.5400480.9199040.459952
1550.5342090.9315820.465791
1560.5159620.9680770.484038
1570.4886170.9772330.511383
1580.4554270.9108540.544573
1590.4365850.873170.563415
1600.4445340.8890680.555466
1610.4230540.8461090.576946
1620.396890.7937810.60311
1630.4227930.8455860.577207
1640.6134140.7731730.386586
1650.5806830.8386350.419317
1660.6610120.6779760.338988
1670.6330270.7339460.366973
1680.5993820.8012360.400618
1690.5749030.8501940.425097
1700.5712540.8574930.428746
1710.547570.904860.45243
1720.5169690.9660620.483031
1730.489940.9798810.51006
1740.5845730.8308530.415427
1750.6783780.6432450.321622
1760.6505060.6989890.349494
1770.6188720.7622560.381128
1780.6382440.7235130.361756
1790.6331380.7337240.366862
1800.6538230.6923540.346177
1810.6968730.6062530.303127
1820.6694440.6611120.330556
1830.6539730.6920530.346027
1840.6234920.7530160.376508
1850.7011410.5977170.298859
1860.6739270.6521460.326073
1870.6407020.7185960.359298
1880.6082430.7835140.391757
1890.5797630.8404740.420237
1900.5856740.8286530.414326
1910.5902640.8194720.409736
1920.5546940.8906130.445306
1930.5237620.9524760.476238
1940.4865940.9731880.513406
1950.4665210.9330420.533479
1960.4876320.9752650.512368
1970.4897050.9794110.510295
1980.464360.928720.53564
1990.4685240.9370480.531476
2000.4323090.8646170.567691
2010.5829380.8341240.417062
2020.5774440.8451130.422556
2030.5975720.8048570.402428
2040.5654490.8691010.434551
2050.5608120.8783760.439188
2060.6024180.7951640.397582
2070.6647930.6704140.335207
2080.6891410.6217180.310859
2090.6544080.6911830.345592
2100.6366390.7267230.363361
2110.7088810.5822380.291119
2120.7497780.5004450.250222
2130.7231950.553610.276805
2140.6956210.6087580.304379
2150.6853190.6293610.314681
2160.6478140.7043710.352186
2170.6222710.7554580.377729
2180.7390150.521970.260985
2190.7680750.4638490.231925
2200.7376580.5246840.262342
2210.7211790.5576420.278821
2220.7281450.543710.271855
2230.7016780.5966430.298322
2240.7471620.5056760.252838
2250.7899570.4200850.210043
2260.8051630.3896730.194837
2270.8562030.2875950.143797
2280.8600450.2799110.139955
2290.8336530.3326950.166347
2300.858290.2834210.14171
2310.9195870.1608250.0804127
2320.8997180.2005630.100282
2330.8767880.2464250.123212
2340.9567430.08651390.0432569
2350.9499170.1001670.0500833
2360.9443880.1112240.055612
2370.9382050.123590.0617949
2380.9340730.1318540.0659271
2390.9381340.1237320.0618661
2400.9217570.1564860.0782429
2410.9002540.1994910.0997455
2420.906060.1878790.0939396
2430.8807760.2384490.119224
2440.8702120.2595770.129788
2450.8395390.3209230.160461
2460.8027420.3945170.197258
2470.8681090.2637820.131891
2480.8469460.3061080.153054
2490.8385650.322870.161435
2500.8735960.2528090.126404
2510.9414520.1170960.0585479
2520.9263650.147270.0736349
2530.9014890.1970220.0985111
2540.9002060.1995890.0997944
2550.9950110.009977870.00498894
2560.9921440.01571210.00785604
2570.9871680.02566460.0128323
2580.989410.02117970.0105898
2590.9834940.03301280.0165064
2600.9985790.002842330.00142117
2610.9999951.09936e-055.49682e-06
2620.9999892.26582e-051.13291e-05
2630.999968.05267e-054.02634e-05
2640.9999290.000142187.10902e-05
2650.9998950.0002108410.000105421
2660.9996040.0007912280.000395614
2670.9995430.0009133450.000456672
2680.998220.003559540.00177977
2690.9942680.01146480.00573241
2700.9806820.03863670.0193183
2710.9470530.1058940.0529472

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
7 & 0.0608679 & 0.121736 & 0.939132 \tabularnewline
8 & 0.701035 & 0.59793 & 0.298965 \tabularnewline
9 & 0.602482 & 0.795037 & 0.397518 \tabularnewline
10 & 0.516528 & 0.966944 & 0.483472 \tabularnewline
11 & 0.431257 & 0.862514 & 0.568743 \tabularnewline
12 & 0.358882 & 0.717765 & 0.641118 \tabularnewline
13 & 0.399273 & 0.798546 & 0.600727 \tabularnewline
14 & 0.311014 & 0.622027 & 0.688986 \tabularnewline
15 & 0.631814 & 0.736372 & 0.368186 \tabularnewline
16 & 0.616688 & 0.766624 & 0.383312 \tabularnewline
17 & 0.536192 & 0.927616 & 0.463808 \tabularnewline
18 & 0.459045 & 0.918089 & 0.540955 \tabularnewline
19 & 0.383002 & 0.766005 & 0.616998 \tabularnewline
20 & 0.312244 & 0.624488 & 0.687756 \tabularnewline
21 & 0.30455 & 0.609101 & 0.69545 \tabularnewline
22 & 0.291053 & 0.582105 & 0.708947 \tabularnewline
23 & 0.642946 & 0.714107 & 0.357054 \tabularnewline
24 & 0.6217 & 0.756601 & 0.3783 \tabularnewline
25 & 0.560656 & 0.878689 & 0.439344 \tabularnewline
26 & 0.790417 & 0.419166 & 0.209583 \tabularnewline
27 & 0.815302 & 0.369396 & 0.184698 \tabularnewline
28 & 0.825307 & 0.349386 & 0.174693 \tabularnewline
29 & 0.789741 & 0.420518 & 0.210259 \tabularnewline
30 & 0.767061 & 0.465877 & 0.232939 \tabularnewline
31 & 0.800515 & 0.398969 & 0.199485 \tabularnewline
32 & 0.782151 & 0.435699 & 0.217849 \tabularnewline
33 & 0.743033 & 0.513933 & 0.256967 \tabularnewline
34 & 0.698308 & 0.603383 & 0.301692 \tabularnewline
35 & 0.696854 & 0.606291 & 0.303146 \tabularnewline
36 & 0.694155 & 0.611689 & 0.305845 \tabularnewline
37 & 0.675217 & 0.649565 & 0.324783 \tabularnewline
38 & 0.635941 & 0.728119 & 0.364059 \tabularnewline
39 & 0.596833 & 0.806333 & 0.403167 \tabularnewline
40 & 0.554915 & 0.890171 & 0.445085 \tabularnewline
41 & 0.522558 & 0.954883 & 0.477442 \tabularnewline
42 & 0.476783 & 0.953566 & 0.523217 \tabularnewline
43 & 0.439175 & 0.878351 & 0.560825 \tabularnewline
44 & 0.426747 & 0.853494 & 0.573253 \tabularnewline
45 & 0.557973 & 0.884054 & 0.442027 \tabularnewline
46 & 0.589718 & 0.820564 & 0.410282 \tabularnewline
47 & 0.593903 & 0.812195 & 0.406097 \tabularnewline
48 & 0.660161 & 0.679678 & 0.339839 \tabularnewline
49 & 0.642152 & 0.715697 & 0.357848 \tabularnewline
50 & 0.614116 & 0.771767 & 0.385884 \tabularnewline
51 & 0.574502 & 0.850997 & 0.425498 \tabularnewline
52 & 0.686222 & 0.627555 & 0.313778 \tabularnewline
53 & 0.696642 & 0.606716 & 0.303358 \tabularnewline
54 & 0.721702 & 0.556595 & 0.278298 \tabularnewline
55 & 0.691101 & 0.617798 & 0.308899 \tabularnewline
56 & 0.654761 & 0.690479 & 0.345239 \tabularnewline
57 & 0.629308 & 0.741385 & 0.370692 \tabularnewline
58 & 0.592594 & 0.814812 & 0.407406 \tabularnewline
59 & 0.595985 & 0.80803 & 0.404015 \tabularnewline
60 & 0.593356 & 0.813288 & 0.406644 \tabularnewline
61 & 0.562506 & 0.874988 & 0.437494 \tabularnewline
62 & 0.622008 & 0.755983 & 0.377992 \tabularnewline
63 & 0.598485 & 0.803031 & 0.401515 \tabularnewline
64 & 0.639192 & 0.721615 & 0.360808 \tabularnewline
65 & 0.740847 & 0.518307 & 0.259153 \tabularnewline
66 & 0.760162 & 0.479676 & 0.239838 \tabularnewline
67 & 0.744233 & 0.511533 & 0.255767 \tabularnewline
68 & 0.759189 & 0.481622 & 0.240811 \tabularnewline
69 & 0.813962 & 0.372075 & 0.186038 \tabularnewline
70 & 0.7971 & 0.4058 & 0.2029 \tabularnewline
71 & 0.781343 & 0.437314 & 0.218657 \tabularnewline
72 & 0.757949 & 0.484101 & 0.242051 \tabularnewline
73 & 0.777248 & 0.445504 & 0.222752 \tabularnewline
74 & 0.834043 & 0.331915 & 0.165957 \tabularnewline
75 & 0.812928 & 0.374143 & 0.187072 \tabularnewline
76 & 0.797066 & 0.405868 & 0.202934 \tabularnewline
77 & 0.771676 & 0.456649 & 0.228324 \tabularnewline
78 & 0.755288 & 0.489423 & 0.244712 \tabularnewline
79 & 0.764709 & 0.470582 & 0.235291 \tabularnewline
80 & 0.748478 & 0.503044 & 0.251522 \tabularnewline
81 & 0.73235 & 0.5353 & 0.26765 \tabularnewline
82 & 0.702705 & 0.594591 & 0.297295 \tabularnewline
83 & 0.719425 & 0.56115 & 0.280575 \tabularnewline
84 & 0.690842 & 0.618316 & 0.309158 \tabularnewline
85 & 0.662064 & 0.675872 & 0.337936 \tabularnewline
86 & 0.681229 & 0.637543 & 0.318771 \tabularnewline
87 & 0.697905 & 0.60419 & 0.302095 \tabularnewline
88 & 0.703159 & 0.593682 & 0.296841 \tabularnewline
89 & 0.677464 & 0.645072 & 0.322536 \tabularnewline
90 & 0.657846 & 0.684307 & 0.342154 \tabularnewline
91 & 0.655024 & 0.689951 & 0.344976 \tabularnewline
92 & 0.64132 & 0.717359 & 0.35868 \tabularnewline
93 & 0.629641 & 0.740717 & 0.370359 \tabularnewline
94 & 0.596366 & 0.807267 & 0.403634 \tabularnewline
95 & 0.56404 & 0.871919 & 0.43596 \tabularnewline
96 & 0.563837 & 0.872326 & 0.436163 \tabularnewline
97 & 0.549161 & 0.901677 & 0.450839 \tabularnewline
98 & 0.514355 & 0.97129 & 0.485645 \tabularnewline
99 & 0.478746 & 0.957491 & 0.521254 \tabularnewline
100 & 0.451007 & 0.902015 & 0.548993 \tabularnewline
101 & 0.460364 & 0.920728 & 0.539636 \tabularnewline
102 & 0.428498 & 0.856997 & 0.571502 \tabularnewline
103 & 0.39976 & 0.799519 & 0.60024 \tabularnewline
104 & 0.377469 & 0.754939 & 0.622531 \tabularnewline
105 & 0.361216 & 0.722433 & 0.638784 \tabularnewline
106 & 0.335511 & 0.671022 & 0.664489 \tabularnewline
107 & 0.30607 & 0.612141 & 0.69393 \tabularnewline
108 & 0.282442 & 0.564884 & 0.717558 \tabularnewline
109 & 0.278711 & 0.557422 & 0.721289 \tabularnewline
110 & 0.258402 & 0.516804 & 0.741598 \tabularnewline
111 & 0.238924 & 0.477847 & 0.761076 \tabularnewline
112 & 0.214797 & 0.429594 & 0.785203 \tabularnewline
113 & 0.210184 & 0.420368 & 0.789816 \tabularnewline
114 & 0.300612 & 0.601223 & 0.699388 \tabularnewline
115 & 0.295115 & 0.59023 & 0.704885 \tabularnewline
116 & 0.294857 & 0.589715 & 0.705143 \tabularnewline
117 & 0.431838 & 0.863676 & 0.568162 \tabularnewline
118 & 0.406461 & 0.812922 & 0.593539 \tabularnewline
119 & 0.429792 & 0.859583 & 0.570208 \tabularnewline
120 & 0.407717 & 0.815434 & 0.592283 \tabularnewline
121 & 0.487771 & 0.975542 & 0.512229 \tabularnewline
122 & 0.468964 & 0.937928 & 0.531036 \tabularnewline
123 & 0.444769 & 0.889538 & 0.555231 \tabularnewline
124 & 0.506945 & 0.986111 & 0.493055 \tabularnewline
125 & 0.48157 & 0.963139 & 0.51843 \tabularnewline
126 & 0.452799 & 0.905599 & 0.547201 \tabularnewline
127 & 0.439983 & 0.879965 & 0.560017 \tabularnewline
128 & 0.56611 & 0.86778 & 0.43389 \tabularnewline
129 & 0.579997 & 0.840007 & 0.420003 \tabularnewline
130 & 0.54665 & 0.9067 & 0.45335 \tabularnewline
131 & 0.522677 & 0.954646 & 0.477323 \tabularnewline
132 & 0.490433 & 0.980865 & 0.509567 \tabularnewline
133 & 0.45707 & 0.914139 & 0.54293 \tabularnewline
134 & 0.433843 & 0.867685 & 0.566157 \tabularnewline
135 & 0.41823 & 0.83646 & 0.58177 \tabularnewline
136 & 0.424243 & 0.848486 & 0.575757 \tabularnewline
137 & 0.398497 & 0.796994 & 0.601503 \tabularnewline
138 & 0.445361 & 0.890721 & 0.554639 \tabularnewline
139 & 0.4175 & 0.835001 & 0.5825 \tabularnewline
140 & 0.411587 & 0.823174 & 0.588413 \tabularnewline
141 & 0.389432 & 0.778864 & 0.610568 \tabularnewline
142 & 0.475785 & 0.95157 & 0.524215 \tabularnewline
143 & 0.446127 & 0.892255 & 0.553873 \tabularnewline
144 & 0.416233 & 0.832466 & 0.583767 \tabularnewline
145 & 0.397745 & 0.79549 & 0.602255 \tabularnewline
146 & 0.371005 & 0.74201 & 0.628995 \tabularnewline
147 & 0.340811 & 0.681621 & 0.659189 \tabularnewline
148 & 0.312871 & 0.625741 & 0.687129 \tabularnewline
149 & 0.3041 & 0.608199 & 0.6959 \tabularnewline
150 & 0.355482 & 0.710965 & 0.644518 \tabularnewline
151 & 0.4708 & 0.9416 & 0.5292 \tabularnewline
152 & 0.462945 & 0.925891 & 0.537055 \tabularnewline
153 & 0.468466 & 0.936932 & 0.531534 \tabularnewline
154 & 0.540048 & 0.919904 & 0.459952 \tabularnewline
155 & 0.534209 & 0.931582 & 0.465791 \tabularnewline
156 & 0.515962 & 0.968077 & 0.484038 \tabularnewline
157 & 0.488617 & 0.977233 & 0.511383 \tabularnewline
158 & 0.455427 & 0.910854 & 0.544573 \tabularnewline
159 & 0.436585 & 0.87317 & 0.563415 \tabularnewline
160 & 0.444534 & 0.889068 & 0.555466 \tabularnewline
161 & 0.423054 & 0.846109 & 0.576946 \tabularnewline
162 & 0.39689 & 0.793781 & 0.60311 \tabularnewline
163 & 0.422793 & 0.845586 & 0.577207 \tabularnewline
164 & 0.613414 & 0.773173 & 0.386586 \tabularnewline
165 & 0.580683 & 0.838635 & 0.419317 \tabularnewline
166 & 0.661012 & 0.677976 & 0.338988 \tabularnewline
167 & 0.633027 & 0.733946 & 0.366973 \tabularnewline
168 & 0.599382 & 0.801236 & 0.400618 \tabularnewline
169 & 0.574903 & 0.850194 & 0.425097 \tabularnewline
170 & 0.571254 & 0.857493 & 0.428746 \tabularnewline
171 & 0.54757 & 0.90486 & 0.45243 \tabularnewline
172 & 0.516969 & 0.966062 & 0.483031 \tabularnewline
173 & 0.48994 & 0.979881 & 0.51006 \tabularnewline
174 & 0.584573 & 0.830853 & 0.415427 \tabularnewline
175 & 0.678378 & 0.643245 & 0.321622 \tabularnewline
176 & 0.650506 & 0.698989 & 0.349494 \tabularnewline
177 & 0.618872 & 0.762256 & 0.381128 \tabularnewline
178 & 0.638244 & 0.723513 & 0.361756 \tabularnewline
179 & 0.633138 & 0.733724 & 0.366862 \tabularnewline
180 & 0.653823 & 0.692354 & 0.346177 \tabularnewline
181 & 0.696873 & 0.606253 & 0.303127 \tabularnewline
182 & 0.669444 & 0.661112 & 0.330556 \tabularnewline
183 & 0.653973 & 0.692053 & 0.346027 \tabularnewline
184 & 0.623492 & 0.753016 & 0.376508 \tabularnewline
185 & 0.701141 & 0.597717 & 0.298859 \tabularnewline
186 & 0.673927 & 0.652146 & 0.326073 \tabularnewline
187 & 0.640702 & 0.718596 & 0.359298 \tabularnewline
188 & 0.608243 & 0.783514 & 0.391757 \tabularnewline
189 & 0.579763 & 0.840474 & 0.420237 \tabularnewline
190 & 0.585674 & 0.828653 & 0.414326 \tabularnewline
191 & 0.590264 & 0.819472 & 0.409736 \tabularnewline
192 & 0.554694 & 0.890613 & 0.445306 \tabularnewline
193 & 0.523762 & 0.952476 & 0.476238 \tabularnewline
194 & 0.486594 & 0.973188 & 0.513406 \tabularnewline
195 & 0.466521 & 0.933042 & 0.533479 \tabularnewline
196 & 0.487632 & 0.975265 & 0.512368 \tabularnewline
197 & 0.489705 & 0.979411 & 0.510295 \tabularnewline
198 & 0.46436 & 0.92872 & 0.53564 \tabularnewline
199 & 0.468524 & 0.937048 & 0.531476 \tabularnewline
200 & 0.432309 & 0.864617 & 0.567691 \tabularnewline
201 & 0.582938 & 0.834124 & 0.417062 \tabularnewline
202 & 0.577444 & 0.845113 & 0.422556 \tabularnewline
203 & 0.597572 & 0.804857 & 0.402428 \tabularnewline
204 & 0.565449 & 0.869101 & 0.434551 \tabularnewline
205 & 0.560812 & 0.878376 & 0.439188 \tabularnewline
206 & 0.602418 & 0.795164 & 0.397582 \tabularnewline
207 & 0.664793 & 0.670414 & 0.335207 \tabularnewline
208 & 0.689141 & 0.621718 & 0.310859 \tabularnewline
209 & 0.654408 & 0.691183 & 0.345592 \tabularnewline
210 & 0.636639 & 0.726723 & 0.363361 \tabularnewline
211 & 0.708881 & 0.582238 & 0.291119 \tabularnewline
212 & 0.749778 & 0.500445 & 0.250222 \tabularnewline
213 & 0.723195 & 0.55361 & 0.276805 \tabularnewline
214 & 0.695621 & 0.608758 & 0.304379 \tabularnewline
215 & 0.685319 & 0.629361 & 0.314681 \tabularnewline
216 & 0.647814 & 0.704371 & 0.352186 \tabularnewline
217 & 0.622271 & 0.755458 & 0.377729 \tabularnewline
218 & 0.739015 & 0.52197 & 0.260985 \tabularnewline
219 & 0.768075 & 0.463849 & 0.231925 \tabularnewline
220 & 0.737658 & 0.524684 & 0.262342 \tabularnewline
221 & 0.721179 & 0.557642 & 0.278821 \tabularnewline
222 & 0.728145 & 0.54371 & 0.271855 \tabularnewline
223 & 0.701678 & 0.596643 & 0.298322 \tabularnewline
224 & 0.747162 & 0.505676 & 0.252838 \tabularnewline
225 & 0.789957 & 0.420085 & 0.210043 \tabularnewline
226 & 0.805163 & 0.389673 & 0.194837 \tabularnewline
227 & 0.856203 & 0.287595 & 0.143797 \tabularnewline
228 & 0.860045 & 0.279911 & 0.139955 \tabularnewline
229 & 0.833653 & 0.332695 & 0.166347 \tabularnewline
230 & 0.85829 & 0.283421 & 0.14171 \tabularnewline
231 & 0.919587 & 0.160825 & 0.0804127 \tabularnewline
232 & 0.899718 & 0.200563 & 0.100282 \tabularnewline
233 & 0.876788 & 0.246425 & 0.123212 \tabularnewline
234 & 0.956743 & 0.0865139 & 0.0432569 \tabularnewline
235 & 0.949917 & 0.100167 & 0.0500833 \tabularnewline
236 & 0.944388 & 0.111224 & 0.055612 \tabularnewline
237 & 0.938205 & 0.12359 & 0.0617949 \tabularnewline
238 & 0.934073 & 0.131854 & 0.0659271 \tabularnewline
239 & 0.938134 & 0.123732 & 0.0618661 \tabularnewline
240 & 0.921757 & 0.156486 & 0.0782429 \tabularnewline
241 & 0.900254 & 0.199491 & 0.0997455 \tabularnewline
242 & 0.90606 & 0.187879 & 0.0939396 \tabularnewline
243 & 0.880776 & 0.238449 & 0.119224 \tabularnewline
244 & 0.870212 & 0.259577 & 0.129788 \tabularnewline
245 & 0.839539 & 0.320923 & 0.160461 \tabularnewline
246 & 0.802742 & 0.394517 & 0.197258 \tabularnewline
247 & 0.868109 & 0.263782 & 0.131891 \tabularnewline
248 & 0.846946 & 0.306108 & 0.153054 \tabularnewline
249 & 0.838565 & 0.32287 & 0.161435 \tabularnewline
250 & 0.873596 & 0.252809 & 0.126404 \tabularnewline
251 & 0.941452 & 0.117096 & 0.0585479 \tabularnewline
252 & 0.926365 & 0.14727 & 0.0736349 \tabularnewline
253 & 0.901489 & 0.197022 & 0.0985111 \tabularnewline
254 & 0.900206 & 0.199589 & 0.0997944 \tabularnewline
255 & 0.995011 & 0.00997787 & 0.00498894 \tabularnewline
256 & 0.992144 & 0.0157121 & 0.00785604 \tabularnewline
257 & 0.987168 & 0.0256646 & 0.0128323 \tabularnewline
258 & 0.98941 & 0.0211797 & 0.0105898 \tabularnewline
259 & 0.983494 & 0.0330128 & 0.0165064 \tabularnewline
260 & 0.998579 & 0.00284233 & 0.00142117 \tabularnewline
261 & 0.999995 & 1.09936e-05 & 5.49682e-06 \tabularnewline
262 & 0.999989 & 2.26582e-05 & 1.13291e-05 \tabularnewline
263 & 0.99996 & 8.05267e-05 & 4.02634e-05 \tabularnewline
264 & 0.999929 & 0.00014218 & 7.10902e-05 \tabularnewline
265 & 0.999895 & 0.000210841 & 0.000105421 \tabularnewline
266 & 0.999604 & 0.000791228 & 0.000395614 \tabularnewline
267 & 0.999543 & 0.000913345 & 0.000456672 \tabularnewline
268 & 0.99822 & 0.00355954 & 0.00177977 \tabularnewline
269 & 0.994268 & 0.0114648 & 0.00573241 \tabularnewline
270 & 0.980682 & 0.0386367 & 0.0193183 \tabularnewline
271 & 0.947053 & 0.105894 & 0.0529472 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=275098&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]7[/C][C]0.0608679[/C][C]0.121736[/C][C]0.939132[/C][/ROW]
[ROW][C]8[/C][C]0.701035[/C][C]0.59793[/C][C]0.298965[/C][/ROW]
[ROW][C]9[/C][C]0.602482[/C][C]0.795037[/C][C]0.397518[/C][/ROW]
[ROW][C]10[/C][C]0.516528[/C][C]0.966944[/C][C]0.483472[/C][/ROW]
[ROW][C]11[/C][C]0.431257[/C][C]0.862514[/C][C]0.568743[/C][/ROW]
[ROW][C]12[/C][C]0.358882[/C][C]0.717765[/C][C]0.641118[/C][/ROW]
[ROW][C]13[/C][C]0.399273[/C][C]0.798546[/C][C]0.600727[/C][/ROW]
[ROW][C]14[/C][C]0.311014[/C][C]0.622027[/C][C]0.688986[/C][/ROW]
[ROW][C]15[/C][C]0.631814[/C][C]0.736372[/C][C]0.368186[/C][/ROW]
[ROW][C]16[/C][C]0.616688[/C][C]0.766624[/C][C]0.383312[/C][/ROW]
[ROW][C]17[/C][C]0.536192[/C][C]0.927616[/C][C]0.463808[/C][/ROW]
[ROW][C]18[/C][C]0.459045[/C][C]0.918089[/C][C]0.540955[/C][/ROW]
[ROW][C]19[/C][C]0.383002[/C][C]0.766005[/C][C]0.616998[/C][/ROW]
[ROW][C]20[/C][C]0.312244[/C][C]0.624488[/C][C]0.687756[/C][/ROW]
[ROW][C]21[/C][C]0.30455[/C][C]0.609101[/C][C]0.69545[/C][/ROW]
[ROW][C]22[/C][C]0.291053[/C][C]0.582105[/C][C]0.708947[/C][/ROW]
[ROW][C]23[/C][C]0.642946[/C][C]0.714107[/C][C]0.357054[/C][/ROW]
[ROW][C]24[/C][C]0.6217[/C][C]0.756601[/C][C]0.3783[/C][/ROW]
[ROW][C]25[/C][C]0.560656[/C][C]0.878689[/C][C]0.439344[/C][/ROW]
[ROW][C]26[/C][C]0.790417[/C][C]0.419166[/C][C]0.209583[/C][/ROW]
[ROW][C]27[/C][C]0.815302[/C][C]0.369396[/C][C]0.184698[/C][/ROW]
[ROW][C]28[/C][C]0.825307[/C][C]0.349386[/C][C]0.174693[/C][/ROW]
[ROW][C]29[/C][C]0.789741[/C][C]0.420518[/C][C]0.210259[/C][/ROW]
[ROW][C]30[/C][C]0.767061[/C][C]0.465877[/C][C]0.232939[/C][/ROW]
[ROW][C]31[/C][C]0.800515[/C][C]0.398969[/C][C]0.199485[/C][/ROW]
[ROW][C]32[/C][C]0.782151[/C][C]0.435699[/C][C]0.217849[/C][/ROW]
[ROW][C]33[/C][C]0.743033[/C][C]0.513933[/C][C]0.256967[/C][/ROW]
[ROW][C]34[/C][C]0.698308[/C][C]0.603383[/C][C]0.301692[/C][/ROW]
[ROW][C]35[/C][C]0.696854[/C][C]0.606291[/C][C]0.303146[/C][/ROW]
[ROW][C]36[/C][C]0.694155[/C][C]0.611689[/C][C]0.305845[/C][/ROW]
[ROW][C]37[/C][C]0.675217[/C][C]0.649565[/C][C]0.324783[/C][/ROW]
[ROW][C]38[/C][C]0.635941[/C][C]0.728119[/C][C]0.364059[/C][/ROW]
[ROW][C]39[/C][C]0.596833[/C][C]0.806333[/C][C]0.403167[/C][/ROW]
[ROW][C]40[/C][C]0.554915[/C][C]0.890171[/C][C]0.445085[/C][/ROW]
[ROW][C]41[/C][C]0.522558[/C][C]0.954883[/C][C]0.477442[/C][/ROW]
[ROW][C]42[/C][C]0.476783[/C][C]0.953566[/C][C]0.523217[/C][/ROW]
[ROW][C]43[/C][C]0.439175[/C][C]0.878351[/C][C]0.560825[/C][/ROW]
[ROW][C]44[/C][C]0.426747[/C][C]0.853494[/C][C]0.573253[/C][/ROW]
[ROW][C]45[/C][C]0.557973[/C][C]0.884054[/C][C]0.442027[/C][/ROW]
[ROW][C]46[/C][C]0.589718[/C][C]0.820564[/C][C]0.410282[/C][/ROW]
[ROW][C]47[/C][C]0.593903[/C][C]0.812195[/C][C]0.406097[/C][/ROW]
[ROW][C]48[/C][C]0.660161[/C][C]0.679678[/C][C]0.339839[/C][/ROW]
[ROW][C]49[/C][C]0.642152[/C][C]0.715697[/C][C]0.357848[/C][/ROW]
[ROW][C]50[/C][C]0.614116[/C][C]0.771767[/C][C]0.385884[/C][/ROW]
[ROW][C]51[/C][C]0.574502[/C][C]0.850997[/C][C]0.425498[/C][/ROW]
[ROW][C]52[/C][C]0.686222[/C][C]0.627555[/C][C]0.313778[/C][/ROW]
[ROW][C]53[/C][C]0.696642[/C][C]0.606716[/C][C]0.303358[/C][/ROW]
[ROW][C]54[/C][C]0.721702[/C][C]0.556595[/C][C]0.278298[/C][/ROW]
[ROW][C]55[/C][C]0.691101[/C][C]0.617798[/C][C]0.308899[/C][/ROW]
[ROW][C]56[/C][C]0.654761[/C][C]0.690479[/C][C]0.345239[/C][/ROW]
[ROW][C]57[/C][C]0.629308[/C][C]0.741385[/C][C]0.370692[/C][/ROW]
[ROW][C]58[/C][C]0.592594[/C][C]0.814812[/C][C]0.407406[/C][/ROW]
[ROW][C]59[/C][C]0.595985[/C][C]0.80803[/C][C]0.404015[/C][/ROW]
[ROW][C]60[/C][C]0.593356[/C][C]0.813288[/C][C]0.406644[/C][/ROW]
[ROW][C]61[/C][C]0.562506[/C][C]0.874988[/C][C]0.437494[/C][/ROW]
[ROW][C]62[/C][C]0.622008[/C][C]0.755983[/C][C]0.377992[/C][/ROW]
[ROW][C]63[/C][C]0.598485[/C][C]0.803031[/C][C]0.401515[/C][/ROW]
[ROW][C]64[/C][C]0.639192[/C][C]0.721615[/C][C]0.360808[/C][/ROW]
[ROW][C]65[/C][C]0.740847[/C][C]0.518307[/C][C]0.259153[/C][/ROW]
[ROW][C]66[/C][C]0.760162[/C][C]0.479676[/C][C]0.239838[/C][/ROW]
[ROW][C]67[/C][C]0.744233[/C][C]0.511533[/C][C]0.255767[/C][/ROW]
[ROW][C]68[/C][C]0.759189[/C][C]0.481622[/C][C]0.240811[/C][/ROW]
[ROW][C]69[/C][C]0.813962[/C][C]0.372075[/C][C]0.186038[/C][/ROW]
[ROW][C]70[/C][C]0.7971[/C][C]0.4058[/C][C]0.2029[/C][/ROW]
[ROW][C]71[/C][C]0.781343[/C][C]0.437314[/C][C]0.218657[/C][/ROW]
[ROW][C]72[/C][C]0.757949[/C][C]0.484101[/C][C]0.242051[/C][/ROW]
[ROW][C]73[/C][C]0.777248[/C][C]0.445504[/C][C]0.222752[/C][/ROW]
[ROW][C]74[/C][C]0.834043[/C][C]0.331915[/C][C]0.165957[/C][/ROW]
[ROW][C]75[/C][C]0.812928[/C][C]0.374143[/C][C]0.187072[/C][/ROW]
[ROW][C]76[/C][C]0.797066[/C][C]0.405868[/C][C]0.202934[/C][/ROW]
[ROW][C]77[/C][C]0.771676[/C][C]0.456649[/C][C]0.228324[/C][/ROW]
[ROW][C]78[/C][C]0.755288[/C][C]0.489423[/C][C]0.244712[/C][/ROW]
[ROW][C]79[/C][C]0.764709[/C][C]0.470582[/C][C]0.235291[/C][/ROW]
[ROW][C]80[/C][C]0.748478[/C][C]0.503044[/C][C]0.251522[/C][/ROW]
[ROW][C]81[/C][C]0.73235[/C][C]0.5353[/C][C]0.26765[/C][/ROW]
[ROW][C]82[/C][C]0.702705[/C][C]0.594591[/C][C]0.297295[/C][/ROW]
[ROW][C]83[/C][C]0.719425[/C][C]0.56115[/C][C]0.280575[/C][/ROW]
[ROW][C]84[/C][C]0.690842[/C][C]0.618316[/C][C]0.309158[/C][/ROW]
[ROW][C]85[/C][C]0.662064[/C][C]0.675872[/C][C]0.337936[/C][/ROW]
[ROW][C]86[/C][C]0.681229[/C][C]0.637543[/C][C]0.318771[/C][/ROW]
[ROW][C]87[/C][C]0.697905[/C][C]0.60419[/C][C]0.302095[/C][/ROW]
[ROW][C]88[/C][C]0.703159[/C][C]0.593682[/C][C]0.296841[/C][/ROW]
[ROW][C]89[/C][C]0.677464[/C][C]0.645072[/C][C]0.322536[/C][/ROW]
[ROW][C]90[/C][C]0.657846[/C][C]0.684307[/C][C]0.342154[/C][/ROW]
[ROW][C]91[/C][C]0.655024[/C][C]0.689951[/C][C]0.344976[/C][/ROW]
[ROW][C]92[/C][C]0.64132[/C][C]0.717359[/C][C]0.35868[/C][/ROW]
[ROW][C]93[/C][C]0.629641[/C][C]0.740717[/C][C]0.370359[/C][/ROW]
[ROW][C]94[/C][C]0.596366[/C][C]0.807267[/C][C]0.403634[/C][/ROW]
[ROW][C]95[/C][C]0.56404[/C][C]0.871919[/C][C]0.43596[/C][/ROW]
[ROW][C]96[/C][C]0.563837[/C][C]0.872326[/C][C]0.436163[/C][/ROW]
[ROW][C]97[/C][C]0.549161[/C][C]0.901677[/C][C]0.450839[/C][/ROW]
[ROW][C]98[/C][C]0.514355[/C][C]0.97129[/C][C]0.485645[/C][/ROW]
[ROW][C]99[/C][C]0.478746[/C][C]0.957491[/C][C]0.521254[/C][/ROW]
[ROW][C]100[/C][C]0.451007[/C][C]0.902015[/C][C]0.548993[/C][/ROW]
[ROW][C]101[/C][C]0.460364[/C][C]0.920728[/C][C]0.539636[/C][/ROW]
[ROW][C]102[/C][C]0.428498[/C][C]0.856997[/C][C]0.571502[/C][/ROW]
[ROW][C]103[/C][C]0.39976[/C][C]0.799519[/C][C]0.60024[/C][/ROW]
[ROW][C]104[/C][C]0.377469[/C][C]0.754939[/C][C]0.622531[/C][/ROW]
[ROW][C]105[/C][C]0.361216[/C][C]0.722433[/C][C]0.638784[/C][/ROW]
[ROW][C]106[/C][C]0.335511[/C][C]0.671022[/C][C]0.664489[/C][/ROW]
[ROW][C]107[/C][C]0.30607[/C][C]0.612141[/C][C]0.69393[/C][/ROW]
[ROW][C]108[/C][C]0.282442[/C][C]0.564884[/C][C]0.717558[/C][/ROW]
[ROW][C]109[/C][C]0.278711[/C][C]0.557422[/C][C]0.721289[/C][/ROW]
[ROW][C]110[/C][C]0.258402[/C][C]0.516804[/C][C]0.741598[/C][/ROW]
[ROW][C]111[/C][C]0.238924[/C][C]0.477847[/C][C]0.761076[/C][/ROW]
[ROW][C]112[/C][C]0.214797[/C][C]0.429594[/C][C]0.785203[/C][/ROW]
[ROW][C]113[/C][C]0.210184[/C][C]0.420368[/C][C]0.789816[/C][/ROW]
[ROW][C]114[/C][C]0.300612[/C][C]0.601223[/C][C]0.699388[/C][/ROW]
[ROW][C]115[/C][C]0.295115[/C][C]0.59023[/C][C]0.704885[/C][/ROW]
[ROW][C]116[/C][C]0.294857[/C][C]0.589715[/C][C]0.705143[/C][/ROW]
[ROW][C]117[/C][C]0.431838[/C][C]0.863676[/C][C]0.568162[/C][/ROW]
[ROW][C]118[/C][C]0.406461[/C][C]0.812922[/C][C]0.593539[/C][/ROW]
[ROW][C]119[/C][C]0.429792[/C][C]0.859583[/C][C]0.570208[/C][/ROW]
[ROW][C]120[/C][C]0.407717[/C][C]0.815434[/C][C]0.592283[/C][/ROW]
[ROW][C]121[/C][C]0.487771[/C][C]0.975542[/C][C]0.512229[/C][/ROW]
[ROW][C]122[/C][C]0.468964[/C][C]0.937928[/C][C]0.531036[/C][/ROW]
[ROW][C]123[/C][C]0.444769[/C][C]0.889538[/C][C]0.555231[/C][/ROW]
[ROW][C]124[/C][C]0.506945[/C][C]0.986111[/C][C]0.493055[/C][/ROW]
[ROW][C]125[/C][C]0.48157[/C][C]0.963139[/C][C]0.51843[/C][/ROW]
[ROW][C]126[/C][C]0.452799[/C][C]0.905599[/C][C]0.547201[/C][/ROW]
[ROW][C]127[/C][C]0.439983[/C][C]0.879965[/C][C]0.560017[/C][/ROW]
[ROW][C]128[/C][C]0.56611[/C][C]0.86778[/C][C]0.43389[/C][/ROW]
[ROW][C]129[/C][C]0.579997[/C][C]0.840007[/C][C]0.420003[/C][/ROW]
[ROW][C]130[/C][C]0.54665[/C][C]0.9067[/C][C]0.45335[/C][/ROW]
[ROW][C]131[/C][C]0.522677[/C][C]0.954646[/C][C]0.477323[/C][/ROW]
[ROW][C]132[/C][C]0.490433[/C][C]0.980865[/C][C]0.509567[/C][/ROW]
[ROW][C]133[/C][C]0.45707[/C][C]0.914139[/C][C]0.54293[/C][/ROW]
[ROW][C]134[/C][C]0.433843[/C][C]0.867685[/C][C]0.566157[/C][/ROW]
[ROW][C]135[/C][C]0.41823[/C][C]0.83646[/C][C]0.58177[/C][/ROW]
[ROW][C]136[/C][C]0.424243[/C][C]0.848486[/C][C]0.575757[/C][/ROW]
[ROW][C]137[/C][C]0.398497[/C][C]0.796994[/C][C]0.601503[/C][/ROW]
[ROW][C]138[/C][C]0.445361[/C][C]0.890721[/C][C]0.554639[/C][/ROW]
[ROW][C]139[/C][C]0.4175[/C][C]0.835001[/C][C]0.5825[/C][/ROW]
[ROW][C]140[/C][C]0.411587[/C][C]0.823174[/C][C]0.588413[/C][/ROW]
[ROW][C]141[/C][C]0.389432[/C][C]0.778864[/C][C]0.610568[/C][/ROW]
[ROW][C]142[/C][C]0.475785[/C][C]0.95157[/C][C]0.524215[/C][/ROW]
[ROW][C]143[/C][C]0.446127[/C][C]0.892255[/C][C]0.553873[/C][/ROW]
[ROW][C]144[/C][C]0.416233[/C][C]0.832466[/C][C]0.583767[/C][/ROW]
[ROW][C]145[/C][C]0.397745[/C][C]0.79549[/C][C]0.602255[/C][/ROW]
[ROW][C]146[/C][C]0.371005[/C][C]0.74201[/C][C]0.628995[/C][/ROW]
[ROW][C]147[/C][C]0.340811[/C][C]0.681621[/C][C]0.659189[/C][/ROW]
[ROW][C]148[/C][C]0.312871[/C][C]0.625741[/C][C]0.687129[/C][/ROW]
[ROW][C]149[/C][C]0.3041[/C][C]0.608199[/C][C]0.6959[/C][/ROW]
[ROW][C]150[/C][C]0.355482[/C][C]0.710965[/C][C]0.644518[/C][/ROW]
[ROW][C]151[/C][C]0.4708[/C][C]0.9416[/C][C]0.5292[/C][/ROW]
[ROW][C]152[/C][C]0.462945[/C][C]0.925891[/C][C]0.537055[/C][/ROW]
[ROW][C]153[/C][C]0.468466[/C][C]0.936932[/C][C]0.531534[/C][/ROW]
[ROW][C]154[/C][C]0.540048[/C][C]0.919904[/C][C]0.459952[/C][/ROW]
[ROW][C]155[/C][C]0.534209[/C][C]0.931582[/C][C]0.465791[/C][/ROW]
[ROW][C]156[/C][C]0.515962[/C][C]0.968077[/C][C]0.484038[/C][/ROW]
[ROW][C]157[/C][C]0.488617[/C][C]0.977233[/C][C]0.511383[/C][/ROW]
[ROW][C]158[/C][C]0.455427[/C][C]0.910854[/C][C]0.544573[/C][/ROW]
[ROW][C]159[/C][C]0.436585[/C][C]0.87317[/C][C]0.563415[/C][/ROW]
[ROW][C]160[/C][C]0.444534[/C][C]0.889068[/C][C]0.555466[/C][/ROW]
[ROW][C]161[/C][C]0.423054[/C][C]0.846109[/C][C]0.576946[/C][/ROW]
[ROW][C]162[/C][C]0.39689[/C][C]0.793781[/C][C]0.60311[/C][/ROW]
[ROW][C]163[/C][C]0.422793[/C][C]0.845586[/C][C]0.577207[/C][/ROW]
[ROW][C]164[/C][C]0.613414[/C][C]0.773173[/C][C]0.386586[/C][/ROW]
[ROW][C]165[/C][C]0.580683[/C][C]0.838635[/C][C]0.419317[/C][/ROW]
[ROW][C]166[/C][C]0.661012[/C][C]0.677976[/C][C]0.338988[/C][/ROW]
[ROW][C]167[/C][C]0.633027[/C][C]0.733946[/C][C]0.366973[/C][/ROW]
[ROW][C]168[/C][C]0.599382[/C][C]0.801236[/C][C]0.400618[/C][/ROW]
[ROW][C]169[/C][C]0.574903[/C][C]0.850194[/C][C]0.425097[/C][/ROW]
[ROW][C]170[/C][C]0.571254[/C][C]0.857493[/C][C]0.428746[/C][/ROW]
[ROW][C]171[/C][C]0.54757[/C][C]0.90486[/C][C]0.45243[/C][/ROW]
[ROW][C]172[/C][C]0.516969[/C][C]0.966062[/C][C]0.483031[/C][/ROW]
[ROW][C]173[/C][C]0.48994[/C][C]0.979881[/C][C]0.51006[/C][/ROW]
[ROW][C]174[/C][C]0.584573[/C][C]0.830853[/C][C]0.415427[/C][/ROW]
[ROW][C]175[/C][C]0.678378[/C][C]0.643245[/C][C]0.321622[/C][/ROW]
[ROW][C]176[/C][C]0.650506[/C][C]0.698989[/C][C]0.349494[/C][/ROW]
[ROW][C]177[/C][C]0.618872[/C][C]0.762256[/C][C]0.381128[/C][/ROW]
[ROW][C]178[/C][C]0.638244[/C][C]0.723513[/C][C]0.361756[/C][/ROW]
[ROW][C]179[/C][C]0.633138[/C][C]0.733724[/C][C]0.366862[/C][/ROW]
[ROW][C]180[/C][C]0.653823[/C][C]0.692354[/C][C]0.346177[/C][/ROW]
[ROW][C]181[/C][C]0.696873[/C][C]0.606253[/C][C]0.303127[/C][/ROW]
[ROW][C]182[/C][C]0.669444[/C][C]0.661112[/C][C]0.330556[/C][/ROW]
[ROW][C]183[/C][C]0.653973[/C][C]0.692053[/C][C]0.346027[/C][/ROW]
[ROW][C]184[/C][C]0.623492[/C][C]0.753016[/C][C]0.376508[/C][/ROW]
[ROW][C]185[/C][C]0.701141[/C][C]0.597717[/C][C]0.298859[/C][/ROW]
[ROW][C]186[/C][C]0.673927[/C][C]0.652146[/C][C]0.326073[/C][/ROW]
[ROW][C]187[/C][C]0.640702[/C][C]0.718596[/C][C]0.359298[/C][/ROW]
[ROW][C]188[/C][C]0.608243[/C][C]0.783514[/C][C]0.391757[/C][/ROW]
[ROW][C]189[/C][C]0.579763[/C][C]0.840474[/C][C]0.420237[/C][/ROW]
[ROW][C]190[/C][C]0.585674[/C][C]0.828653[/C][C]0.414326[/C][/ROW]
[ROW][C]191[/C][C]0.590264[/C][C]0.819472[/C][C]0.409736[/C][/ROW]
[ROW][C]192[/C][C]0.554694[/C][C]0.890613[/C][C]0.445306[/C][/ROW]
[ROW][C]193[/C][C]0.523762[/C][C]0.952476[/C][C]0.476238[/C][/ROW]
[ROW][C]194[/C][C]0.486594[/C][C]0.973188[/C][C]0.513406[/C][/ROW]
[ROW][C]195[/C][C]0.466521[/C][C]0.933042[/C][C]0.533479[/C][/ROW]
[ROW][C]196[/C][C]0.487632[/C][C]0.975265[/C][C]0.512368[/C][/ROW]
[ROW][C]197[/C][C]0.489705[/C][C]0.979411[/C][C]0.510295[/C][/ROW]
[ROW][C]198[/C][C]0.46436[/C][C]0.92872[/C][C]0.53564[/C][/ROW]
[ROW][C]199[/C][C]0.468524[/C][C]0.937048[/C][C]0.531476[/C][/ROW]
[ROW][C]200[/C][C]0.432309[/C][C]0.864617[/C][C]0.567691[/C][/ROW]
[ROW][C]201[/C][C]0.582938[/C][C]0.834124[/C][C]0.417062[/C][/ROW]
[ROW][C]202[/C][C]0.577444[/C][C]0.845113[/C][C]0.422556[/C][/ROW]
[ROW][C]203[/C][C]0.597572[/C][C]0.804857[/C][C]0.402428[/C][/ROW]
[ROW][C]204[/C][C]0.565449[/C][C]0.869101[/C][C]0.434551[/C][/ROW]
[ROW][C]205[/C][C]0.560812[/C][C]0.878376[/C][C]0.439188[/C][/ROW]
[ROW][C]206[/C][C]0.602418[/C][C]0.795164[/C][C]0.397582[/C][/ROW]
[ROW][C]207[/C][C]0.664793[/C][C]0.670414[/C][C]0.335207[/C][/ROW]
[ROW][C]208[/C][C]0.689141[/C][C]0.621718[/C][C]0.310859[/C][/ROW]
[ROW][C]209[/C][C]0.654408[/C][C]0.691183[/C][C]0.345592[/C][/ROW]
[ROW][C]210[/C][C]0.636639[/C][C]0.726723[/C][C]0.363361[/C][/ROW]
[ROW][C]211[/C][C]0.708881[/C][C]0.582238[/C][C]0.291119[/C][/ROW]
[ROW][C]212[/C][C]0.749778[/C][C]0.500445[/C][C]0.250222[/C][/ROW]
[ROW][C]213[/C][C]0.723195[/C][C]0.55361[/C][C]0.276805[/C][/ROW]
[ROW][C]214[/C][C]0.695621[/C][C]0.608758[/C][C]0.304379[/C][/ROW]
[ROW][C]215[/C][C]0.685319[/C][C]0.629361[/C][C]0.314681[/C][/ROW]
[ROW][C]216[/C][C]0.647814[/C][C]0.704371[/C][C]0.352186[/C][/ROW]
[ROW][C]217[/C][C]0.622271[/C][C]0.755458[/C][C]0.377729[/C][/ROW]
[ROW][C]218[/C][C]0.739015[/C][C]0.52197[/C][C]0.260985[/C][/ROW]
[ROW][C]219[/C][C]0.768075[/C][C]0.463849[/C][C]0.231925[/C][/ROW]
[ROW][C]220[/C][C]0.737658[/C][C]0.524684[/C][C]0.262342[/C][/ROW]
[ROW][C]221[/C][C]0.721179[/C][C]0.557642[/C][C]0.278821[/C][/ROW]
[ROW][C]222[/C][C]0.728145[/C][C]0.54371[/C][C]0.271855[/C][/ROW]
[ROW][C]223[/C][C]0.701678[/C][C]0.596643[/C][C]0.298322[/C][/ROW]
[ROW][C]224[/C][C]0.747162[/C][C]0.505676[/C][C]0.252838[/C][/ROW]
[ROW][C]225[/C][C]0.789957[/C][C]0.420085[/C][C]0.210043[/C][/ROW]
[ROW][C]226[/C][C]0.805163[/C][C]0.389673[/C][C]0.194837[/C][/ROW]
[ROW][C]227[/C][C]0.856203[/C][C]0.287595[/C][C]0.143797[/C][/ROW]
[ROW][C]228[/C][C]0.860045[/C][C]0.279911[/C][C]0.139955[/C][/ROW]
[ROW][C]229[/C][C]0.833653[/C][C]0.332695[/C][C]0.166347[/C][/ROW]
[ROW][C]230[/C][C]0.85829[/C][C]0.283421[/C][C]0.14171[/C][/ROW]
[ROW][C]231[/C][C]0.919587[/C][C]0.160825[/C][C]0.0804127[/C][/ROW]
[ROW][C]232[/C][C]0.899718[/C][C]0.200563[/C][C]0.100282[/C][/ROW]
[ROW][C]233[/C][C]0.876788[/C][C]0.246425[/C][C]0.123212[/C][/ROW]
[ROW][C]234[/C][C]0.956743[/C][C]0.0865139[/C][C]0.0432569[/C][/ROW]
[ROW][C]235[/C][C]0.949917[/C][C]0.100167[/C][C]0.0500833[/C][/ROW]
[ROW][C]236[/C][C]0.944388[/C][C]0.111224[/C][C]0.055612[/C][/ROW]
[ROW][C]237[/C][C]0.938205[/C][C]0.12359[/C][C]0.0617949[/C][/ROW]
[ROW][C]238[/C][C]0.934073[/C][C]0.131854[/C][C]0.0659271[/C][/ROW]
[ROW][C]239[/C][C]0.938134[/C][C]0.123732[/C][C]0.0618661[/C][/ROW]
[ROW][C]240[/C][C]0.921757[/C][C]0.156486[/C][C]0.0782429[/C][/ROW]
[ROW][C]241[/C][C]0.900254[/C][C]0.199491[/C][C]0.0997455[/C][/ROW]
[ROW][C]242[/C][C]0.90606[/C][C]0.187879[/C][C]0.0939396[/C][/ROW]
[ROW][C]243[/C][C]0.880776[/C][C]0.238449[/C][C]0.119224[/C][/ROW]
[ROW][C]244[/C][C]0.870212[/C][C]0.259577[/C][C]0.129788[/C][/ROW]
[ROW][C]245[/C][C]0.839539[/C][C]0.320923[/C][C]0.160461[/C][/ROW]
[ROW][C]246[/C][C]0.802742[/C][C]0.394517[/C][C]0.197258[/C][/ROW]
[ROW][C]247[/C][C]0.868109[/C][C]0.263782[/C][C]0.131891[/C][/ROW]
[ROW][C]248[/C][C]0.846946[/C][C]0.306108[/C][C]0.153054[/C][/ROW]
[ROW][C]249[/C][C]0.838565[/C][C]0.32287[/C][C]0.161435[/C][/ROW]
[ROW][C]250[/C][C]0.873596[/C][C]0.252809[/C][C]0.126404[/C][/ROW]
[ROW][C]251[/C][C]0.941452[/C][C]0.117096[/C][C]0.0585479[/C][/ROW]
[ROW][C]252[/C][C]0.926365[/C][C]0.14727[/C][C]0.0736349[/C][/ROW]
[ROW][C]253[/C][C]0.901489[/C][C]0.197022[/C][C]0.0985111[/C][/ROW]
[ROW][C]254[/C][C]0.900206[/C][C]0.199589[/C][C]0.0997944[/C][/ROW]
[ROW][C]255[/C][C]0.995011[/C][C]0.00997787[/C][C]0.00498894[/C][/ROW]
[ROW][C]256[/C][C]0.992144[/C][C]0.0157121[/C][C]0.00785604[/C][/ROW]
[ROW][C]257[/C][C]0.987168[/C][C]0.0256646[/C][C]0.0128323[/C][/ROW]
[ROW][C]258[/C][C]0.98941[/C][C]0.0211797[/C][C]0.0105898[/C][/ROW]
[ROW][C]259[/C][C]0.983494[/C][C]0.0330128[/C][C]0.0165064[/C][/ROW]
[ROW][C]260[/C][C]0.998579[/C][C]0.00284233[/C][C]0.00142117[/C][/ROW]
[ROW][C]261[/C][C]0.999995[/C][C]1.09936e-05[/C][C]5.49682e-06[/C][/ROW]
[ROW][C]262[/C][C]0.999989[/C][C]2.26582e-05[/C][C]1.13291e-05[/C][/ROW]
[ROW][C]263[/C][C]0.99996[/C][C]8.05267e-05[/C][C]4.02634e-05[/C][/ROW]
[ROW][C]264[/C][C]0.999929[/C][C]0.00014218[/C][C]7.10902e-05[/C][/ROW]
[ROW][C]265[/C][C]0.999895[/C][C]0.000210841[/C][C]0.000105421[/C][/ROW]
[ROW][C]266[/C][C]0.999604[/C][C]0.000791228[/C][C]0.000395614[/C][/ROW]
[ROW][C]267[/C][C]0.999543[/C][C]0.000913345[/C][C]0.000456672[/C][/ROW]
[ROW][C]268[/C][C]0.99822[/C][C]0.00355954[/C][C]0.00177977[/C][/ROW]
[ROW][C]269[/C][C]0.994268[/C][C]0.0114648[/C][C]0.00573241[/C][/ROW]
[ROW][C]270[/C][C]0.980682[/C][C]0.0386367[/C][C]0.0193183[/C][/ROW]
[ROW][C]271[/C][C]0.947053[/C][C]0.105894[/C][C]0.0529472[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=275098&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=275098&T=5

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


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.06086790.1217360.939132
80.7010350.597930.298965
90.6024820.7950370.397518
100.5165280.9669440.483472
110.4312570.8625140.568743
120.3588820.7177650.641118
130.3992730.7985460.600727
140.3110140.6220270.688986
150.6318140.7363720.368186
160.6166880.7666240.383312
170.5361920.9276160.463808
180.4590450.9180890.540955
190.3830020.7660050.616998
200.3122440.6244880.687756
210.304550.6091010.69545
220.2910530.5821050.708947
230.6429460.7141070.357054
240.62170.7566010.3783
250.5606560.8786890.439344
260.7904170.4191660.209583
270.8153020.3693960.184698
280.8253070.3493860.174693
290.7897410.4205180.210259
300.7670610.4658770.232939
310.8005150.3989690.199485
320.7821510.4356990.217849
330.7430330.5139330.256967
340.6983080.6033830.301692
350.6968540.6062910.303146
360.6941550.6116890.305845
370.6752170.6495650.324783
380.6359410.7281190.364059
390.5968330.8063330.403167
400.5549150.8901710.445085
410.5225580.9548830.477442
420.4767830.9535660.523217
430.4391750.8783510.560825
440.4267470.8534940.573253
450.5579730.8840540.442027
460.5897180.8205640.410282
470.5939030.8121950.406097
480.6601610.6796780.339839
490.6421520.7156970.357848
500.6141160.7717670.385884
510.5745020.8509970.425498
520.6862220.6275550.313778
530.6966420.6067160.303358
540.7217020.5565950.278298
550.6911010.6177980.308899
560.6547610.6904790.345239
570.6293080.7413850.370692
580.5925940.8148120.407406
590.5959850.808030.404015
600.5933560.8132880.406644
610.5625060.8749880.437494
620.6220080.7559830.377992
630.5984850.8030310.401515
640.6391920.7216150.360808
650.7408470.5183070.259153
660.7601620.4796760.239838
670.7442330.5115330.255767
680.7591890.4816220.240811
690.8139620.3720750.186038
700.79710.40580.2029
710.7813430.4373140.218657
720.7579490.4841010.242051
730.7772480.4455040.222752
740.8340430.3319150.165957
750.8129280.3741430.187072
760.7970660.4058680.202934
770.7716760.4566490.228324
780.7552880.4894230.244712
790.7647090.4705820.235291
800.7484780.5030440.251522
810.732350.53530.26765
820.7027050.5945910.297295
830.7194250.561150.280575
840.6908420.6183160.309158
850.6620640.6758720.337936
860.6812290.6375430.318771
870.6979050.604190.302095
880.7031590.5936820.296841
890.6774640.6450720.322536
900.6578460.6843070.342154
910.6550240.6899510.344976
920.641320.7173590.35868
930.6296410.7407170.370359
940.5963660.8072670.403634
950.564040.8719190.43596
960.5638370.8723260.436163
970.5491610.9016770.450839
980.5143550.971290.485645
990.4787460.9574910.521254
1000.4510070.9020150.548993
1010.4603640.9207280.539636
1020.4284980.8569970.571502
1030.399760.7995190.60024
1040.3774690.7549390.622531
1050.3612160.7224330.638784
1060.3355110.6710220.664489
1070.306070.6121410.69393
1080.2824420.5648840.717558
1090.2787110.5574220.721289
1100.2584020.5168040.741598
1110.2389240.4778470.761076
1120.2147970.4295940.785203
1130.2101840.4203680.789816
1140.3006120.6012230.699388
1150.2951150.590230.704885
1160.2948570.5897150.705143
1170.4318380.8636760.568162
1180.4064610.8129220.593539
1190.4297920.8595830.570208
1200.4077170.8154340.592283
1210.4877710.9755420.512229
1220.4689640.9379280.531036
1230.4447690.8895380.555231
1240.5069450.9861110.493055
1250.481570.9631390.51843
1260.4527990.9055990.547201
1270.4399830.8799650.560017
1280.566110.867780.43389
1290.5799970.8400070.420003
1300.546650.90670.45335
1310.5226770.9546460.477323
1320.4904330.9808650.509567
1330.457070.9141390.54293
1340.4338430.8676850.566157
1350.418230.836460.58177
1360.4242430.8484860.575757
1370.3984970.7969940.601503
1380.4453610.8907210.554639
1390.41750.8350010.5825
1400.4115870.8231740.588413
1410.3894320.7788640.610568
1420.4757850.951570.524215
1430.4461270.8922550.553873
1440.4162330.8324660.583767
1450.3977450.795490.602255
1460.3710050.742010.628995
1470.3408110.6816210.659189
1480.3128710.6257410.687129
1490.30410.6081990.6959
1500.3554820.7109650.644518
1510.47080.94160.5292
1520.4629450.9258910.537055
1530.4684660.9369320.531534
1540.5400480.9199040.459952
1550.5342090.9315820.465791
1560.5159620.9680770.484038
1570.4886170.9772330.511383
1580.4554270.9108540.544573
1590.4365850.873170.563415
1600.4445340.8890680.555466
1610.4230540.8461090.576946
1620.396890.7937810.60311
1630.4227930.8455860.577207
1640.6134140.7731730.386586
1650.5806830.8386350.419317
1660.6610120.6779760.338988
1670.6330270.7339460.366973
1680.5993820.8012360.400618
1690.5749030.8501940.425097
1700.5712540.8574930.428746
1710.547570.904860.45243
1720.5169690.9660620.483031
1730.489940.9798810.51006
1740.5845730.8308530.415427
1750.6783780.6432450.321622
1760.6505060.6989890.349494
1770.6188720.7622560.381128
1780.6382440.7235130.361756
1790.6331380.7337240.366862
1800.6538230.6923540.346177
1810.6968730.6062530.303127
1820.6694440.6611120.330556
1830.6539730.6920530.346027
1840.6234920.7530160.376508
1850.7011410.5977170.298859
1860.6739270.6521460.326073
1870.6407020.7185960.359298
1880.6082430.7835140.391757
1890.5797630.8404740.420237
1900.5856740.8286530.414326
1910.5902640.8194720.409736
1920.5546940.8906130.445306
1930.5237620.9524760.476238
1940.4865940.9731880.513406
1950.4665210.9330420.533479
1960.4876320.9752650.512368
1970.4897050.9794110.510295
1980.464360.928720.53564
1990.4685240.9370480.531476
2000.4323090.8646170.567691
2010.5829380.8341240.417062
2020.5774440.8451130.422556
2030.5975720.8048570.402428
2040.5654490.8691010.434551
2050.5608120.8783760.439188
2060.6024180.7951640.397582
2070.6647930.6704140.335207
2080.6891410.6217180.310859
2090.6544080.6911830.345592
2100.6366390.7267230.363361
2110.7088810.5822380.291119
2120.7497780.5004450.250222
2130.7231950.553610.276805
2140.6956210.6087580.304379
2150.6853190.6293610.314681
2160.6478140.7043710.352186
2170.6222710.7554580.377729
2180.7390150.521970.260985
2190.7680750.4638490.231925
2200.7376580.5246840.262342
2210.7211790.5576420.278821
2220.7281450.543710.271855
2230.7016780.5966430.298322
2240.7471620.5056760.252838
2250.7899570.4200850.210043
2260.8051630.3896730.194837
2270.8562030.2875950.143797
2280.8600450.2799110.139955
2290.8336530.3326950.166347
2300.858290.2834210.14171
2310.9195870.1608250.0804127
2320.8997180.2005630.100282
2330.8767880.2464250.123212
2340.9567430.08651390.0432569
2350.9499170.1001670.0500833
2360.9443880.1112240.055612
2370.9382050.123590.0617949
2380.9340730.1318540.0659271
2390.9381340.1237320.0618661
2400.9217570.1564860.0782429
2410.9002540.1994910.0997455
2420.906060.1878790.0939396
2430.8807760.2384490.119224
2440.8702120.2595770.129788
2450.8395390.3209230.160461
2460.8027420.3945170.197258
2470.8681090.2637820.131891
2480.8469460.3061080.153054
2490.8385650.322870.161435
2500.8735960.2528090.126404
2510.9414520.1170960.0585479
2520.9263650.147270.0736349
2530.9014890.1970220.0985111
2540.9002060.1995890.0997944
2550.9950110.009977870.00498894
2560.9921440.01571210.00785604
2570.9871680.02566460.0128323
2580.989410.02117970.0105898
2590.9834940.03301280.0165064
2600.9985790.002842330.00142117
2610.9999951.09936e-055.49682e-06
2620.9999892.26582e-051.13291e-05
2630.999968.05267e-054.02634e-05
2640.9999290.000142187.10902e-05
2650.9998950.0002108410.000105421
2660.9996040.0007912280.000395614
2670.9995430.0009133450.000456672
2680.998220.003559540.00177977
2690.9942680.01146480.00573241
2700.9806820.03863670.0193183
2710.9470530.1058940.0529472






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level100.0377358NOK
5% type I error level160.0603774NOK
10% type I error level170.0641509OK

\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 & 10 & 0.0377358 & NOK \tabularnewline
5% type I error level & 16 & 0.0603774 & NOK \tabularnewline
10% type I error level & 17 & 0.0641509 & OK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=275098&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]10[/C][C]0.0377358[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]16[/C][C]0.0603774[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]17[/C][C]0.0641509[/C][C]OK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=275098&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=275098&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 level100.0377358NOK
5% type I error level160.0603774NOK
10% type I error level170.0641509OK


Figures (Output of Computation)

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

Parameters (Session):
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')
}