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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationSun, 14 Dec 2014 08:52:07 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/14/t1418547752bno8yqmad9z0vk8.htm/, Retrieved Thu, 16 May 2024 09:23:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=267341, Retrieved Thu, 16 May 2024 09:23:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact115

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
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Dataset

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

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267341&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267341&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267341&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'Sir Maurice George Kendall' @ kendall.wessa.net






Multiple Linear Regression - Estimated Regression Equation
LFM[t] = + 109.502 + 0.311905AMS.I[t] -0.142021AMS.E[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
LFM[t] =  +  109.502 +  0.311905AMS.I[t] -0.142021AMS.E[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267341&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]LFM[t] =  +  109.502 +  0.311905AMS.I[t] -0.142021AMS.E[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267341&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267341&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] = + 109.502 + 0.311905AMS.I[t] -0.142021AMS.E[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)109.50219.94065.4918.85407e-084.42703e-08
AMS.I0.3119050.2455951.270.2051260.102563
AMS.E-0.1420210.306376-0.46360.6433240.321662

\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) & 109.502 & 19.9406 & 5.491 & 8.85407e-08 & 4.42703e-08 \tabularnewline
AMS.I & 0.311905 & 0.245595 & 1.27 & 0.205126 & 0.102563 \tabularnewline
AMS.E & -0.142021 & 0.306376 & -0.4636 & 0.643324 & 0.321662 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267341&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]109.502[/C][C]19.9406[/C][C]5.491[/C][C]8.85407e-08[/C][C]4.42703e-08[/C][/ROW]
[ROW][C]AMS.I[/C][C]0.311905[/C][C]0.245595[/C][C]1.27[/C][C]0.205126[/C][C]0.102563[/C][/ROW]
[ROW][C]AMS.E[/C][C]-0.142021[/C][C]0.306376[/C][C]-0.4636[/C][C]0.643324[/C][C]0.321662[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267341&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267341&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)109.50219.94065.4918.85407e-084.42703e-08
AMS.I0.3119050.2455951.270.2051260.102563
AMS.E-0.1420210.306376-0.46360.6433240.321662






Multiple Linear Regression - Regression Statistics
Multiple R0.0751656
R-squared0.00564987
Adjusted R-squared-0.0013526
F-TEST (value)0.80684
F-TEST (DF numerator)2
F-TEST (DF denominator)284
p-value0.447286
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation39.7023
Sum Squared Residuals447661

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.0751656 \tabularnewline
R-squared & 0.00564987 \tabularnewline
Adjusted R-squared & -0.0013526 \tabularnewline
F-TEST (value) & 0.80684 \tabularnewline
F-TEST (DF numerator) & 2 \tabularnewline
F-TEST (DF denominator) & 284 \tabularnewline
p-value & 0.447286 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 39.7023 \tabularnewline
Sum Squared Residuals & 447661 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267341&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.0751656[/C][/ROW]
[ROW][C]R-squared[/C][C]0.00564987[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]-0.0013526[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]0.80684[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]2[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]284[/C][/ROW]
[ROW][C]p-value[/C][C]0.447286[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]39.7023[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]447661[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267341&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267341&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 R0.0751656
R-squared0.00564987
Adjusted R-squared-0.0013526
F-TEST (value)0.80684
F-TEST (DF numerator)2
F-TEST (DF denominator)284
p-value0.447286
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation39.7023
Sum Squared Residuals447661






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1149110.51138.4893
2152115.75236.248
3139118.47620.5245
4148113.37434.6264
5158120.31637.6836
6128115.24512.755
7224116.49107.51
8159115.35443.6462
9105115.529-10.5291
10159123.77335.2275
11167124.43542.565
12165115.41249.5878
13159122.10436.8958
14119114.6444.35632
15176117.22558.7748
1654120.06-66.0602
1791118.615-27.6149
18163113.54149.4592
19124117.0276.97253
20137118.30618.6943
21121121.08-0.0795245
22153119.69333.3074
23148119.35328.6472
24221117.509103.491
25188117.05570.9447
26149119.49529.5052
27244116.092127.908
28148117.62330.3766
2992116.746-24.7461
30150119.94930.0512
31153115.2437.7604
3294108.606-14.606
33156117.82438.1761
34146114.47431.5262
35132117.36714.6328
36161113.11547.8853
37105115.326-10.3259
3897117.228-20.2279
39151116.40434.5963
40131117.8813.1204
41166120.29145.7088
42157113.36843.6318
43111114.281-3.28146
44145116.09428.9055
45162115.4446.5599
46163109.62553.3747
4759109.628-50.6281
48187121.19665.8036
49109116.406-7.40636
5090118.729-28.729
51105119.606-14.6063
5283115.214-32.2145
53116116.317-0.317365
5442116.15-74.1502
55148114.39333.6071
56155120.03234.9676
57125119.8935.10696
58116117.339-1.33937
59128111.63916.3612
60138116.97221.0283
6149114.591-65.5907
6296115.526-19.5264
63164119.43944.5609
64162117.02744.9725
6599111.639-12.6388
66202114.25187.7491
67186117.51268.488
6866114.421-48.4208
69183119.7263.2795
70214118.92995.0705
71188114.47773.5235
72104111.953-7.9534
73177117.0359.9698
74126116.329.67993
7576118.448-42.4477
7699122.135-23.1348
77157114.16542.8354
78139109.96529.0349
7978120.378-42.3775
80162113.08748.9131
81108112.975-4.97541
82159120.71538.2854
8374110.45-36.4496
84110115.95-5.94973
8596115.412-19.4122
86116116.29-0.289502
8787114.56-27.5601
8897117.821-20.8212
89127113.59913.4008
90106118.503-12.5034
9180118.843-38.8432
9274118.075-44.0746
9391117.312-26.3115
94133115.97817.0224
9574116.916-42.916
96114110.8763.12433
97140121.36618.6337
9895110.252-15.2519
9998115.952-17.9524
100121120.3160.6836
101126118.3617.63862
10298117.623-19.6234
10395113.513-18.5129
104110118.955-8.95462
10570117.793-47.7933
106102119.294-17.2944
10786107.954-21.9544
108130118.30311.697
10996116.206-20.2059
110102116.462-14.4621
111100118.278-18.2778
11294114.73-20.73
11352118.843-66.8432
11498118.164-20.1636
115118119.353-1.35282
11699119.155-20.1551
11748118.478-70.4782
11850106.54-56.5396
119150114.33435.6655
120154117.16936.8305
121109117.626-8.62612
12268118.704-50.7039
123194117.28676.7136
124158118.95739.0427
125159118.70140.2989
12667116.49-49.49
127147116.55130.4489
12839119.606-80.6063
129100116.632-16.632
130111117-5.99961
131138111.95326.0466
132101117.114-16.1138
133131121.8769.12408
134101116.462-15.4621
135114115.952-1.95244
136165118.55946.4409
137114114.872-0.871999
138111119.211-8.2108
13975111.132-36.1318
14082121.737-39.7366
141121115.0455.95541
14232116.262-84.2616
143150117.82132.1788
144117121.285-4.28539
14571111.842-40.842
146165114.2250.7797
147154120.65633.3438
148126114.92811.0723
149138118.27819.7222
15014911732.0004
151145115.47329.5266
152120124.886-4.88622
153138117.0320.9698
154109117.2-8.20006
155132116.71815.2817
156172117.31454.6858
157169116.99752.0031
158114118.448-4.44768
159156118.44837.5523
160172110.16861.8317
16168121.283-53.2827
16289121.709-32.7087
163167123.60843.392
164113116.574-3.57354
165115121.369-6.36898
16678112.605-34.6051
167118114.9033.09743
16887117.793-30.7933
169173114.67758.323
1702120.149-118.149
171162118.59243.4076
17249115.724-66.7241
173122115.3546.64621
17496116.83-20.8297
175100121.425-21.4247
17682118.871-36.871
177100123.803-23.8031
178115116.604-1.60411
179141117.16923.8305
180165118.73246.2683
181165118.44846.5523
182110115.524-5.52367
183118116.3511.64936
184158108.49549.5054
185146115.21430.7855
18649114.05-65.0504
18790116.86-26.8603
188121113.4297.57066
189155115.75239.248
190104117.367-13.3672
191147111.61435.3864
192110118.787-8.78744
193108118.985-10.9852
194113119.041-6.04092
195115119.779-4.77888
19661115.808-54.8077
19760115.045-55.0446
198109119.748-10.7483
19968119.667-51.6674
200111120.091-9.09079
20177113.543-36.5435
20273118.423-45.4225
203151114.24836.7518
20489115.668-26.6684
20578115.072-37.0725
206110120.999-10.9986
207220121.46398.5366
20865122.051-57.0512
209141117.93523.0647
210117113.2853.71539
211122114.197.81024
21263113.115-50.1147
21344116.574-72.5735
21452114.538-62.5376
21562117.596-55.5956
216131113.1717.8295
217101114.588-13.588
21842116.972-74.9717
219152117.19734.8026
220107117.707-10.707
22177115.579-38.5794
222154116.31737.6826
223103117.258-14.2585
22496112.521-16.5215
225154115.81338.1869
226175117.96357.0368
22757114.05-57.0504
228112116.178-4.17805
229143116.51526.4849
23049118.387-69.3865
231110117.654-7.65398
232131114.24816.7518
233167115.46851.5321
23456115.214-59.2145
235137118.95718.0427
23686118.757-32.7569
237121118.3312.66919
238149115.89433.106
239168120.09147.9092
240140116.91623.084
24188119.038-31.0382
242168114.7353.27
24394116.83-22.8297
24451118.929-67.9295
24548116.601-68.6014
246145118.64326.3573
24766114.627-48.6266
24885119.977-34.9766
249109121.848-12.8481
25063113.168-50.1677
251102118.191-16.1915
252162115.92546.0754
253128117.82410.1761
25486115.783-29.7826
255114116.203-2.20321
256164114.81949.181
257119113.7695.23089
258126119.4956.50516
259132119.49512.5052
260142116.60125.3986
26183115.61-32.61
26294115.582-21.5821
26381107.843-26.8429
264166113.05952.941
265110118.531-8.53127
26664116.459-52.4594
26793118.584-25.5843
268104115.808-11.8077
269105114.791-9.79111
27049118.762-69.7623
27188115.836-27.8356
27295115.699-20.699
273102119.751-17.751
27499116.802-17.8019
27563117.002-54.0023
27676113.488-37.4878
277109121.845-12.8454
278117120.573-3.57258
27957118.899-61.8989
280120117.3952.6049
28173113.51-40.5102
28291116.716-25.7156
283108117.793-9.7933
284105118.985-13.9852
285117115.4151.58508
286119117.1971.80265
28731114.307-83.3066

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 149 & 110.511 & 38.4893 \tabularnewline
2 & 152 & 115.752 & 36.248 \tabularnewline
3 & 139 & 118.476 & 20.5245 \tabularnewline
4 & 148 & 113.374 & 34.6264 \tabularnewline
5 & 158 & 120.316 & 37.6836 \tabularnewline
6 & 128 & 115.245 & 12.755 \tabularnewline
7 & 224 & 116.49 & 107.51 \tabularnewline
8 & 159 & 115.354 & 43.6462 \tabularnewline
9 & 105 & 115.529 & -10.5291 \tabularnewline
10 & 159 & 123.773 & 35.2275 \tabularnewline
11 & 167 & 124.435 & 42.565 \tabularnewline
12 & 165 & 115.412 & 49.5878 \tabularnewline
13 & 159 & 122.104 & 36.8958 \tabularnewline
14 & 119 & 114.644 & 4.35632 \tabularnewline
15 & 176 & 117.225 & 58.7748 \tabularnewline
16 & 54 & 120.06 & -66.0602 \tabularnewline
17 & 91 & 118.615 & -27.6149 \tabularnewline
18 & 163 & 113.541 & 49.4592 \tabularnewline
19 & 124 & 117.027 & 6.97253 \tabularnewline
20 & 137 & 118.306 & 18.6943 \tabularnewline
21 & 121 & 121.08 & -0.0795245 \tabularnewline
22 & 153 & 119.693 & 33.3074 \tabularnewline
23 & 148 & 119.353 & 28.6472 \tabularnewline
24 & 221 & 117.509 & 103.491 \tabularnewline
25 & 188 & 117.055 & 70.9447 \tabularnewline
26 & 149 & 119.495 & 29.5052 \tabularnewline
27 & 244 & 116.092 & 127.908 \tabularnewline
28 & 148 & 117.623 & 30.3766 \tabularnewline
29 & 92 & 116.746 & -24.7461 \tabularnewline
30 & 150 & 119.949 & 30.0512 \tabularnewline
31 & 153 & 115.24 & 37.7604 \tabularnewline
32 & 94 & 108.606 & -14.606 \tabularnewline
33 & 156 & 117.824 & 38.1761 \tabularnewline
34 & 146 & 114.474 & 31.5262 \tabularnewline
35 & 132 & 117.367 & 14.6328 \tabularnewline
36 & 161 & 113.115 & 47.8853 \tabularnewline
37 & 105 & 115.326 & -10.3259 \tabularnewline
38 & 97 & 117.228 & -20.2279 \tabularnewline
39 & 151 & 116.404 & 34.5963 \tabularnewline
40 & 131 & 117.88 & 13.1204 \tabularnewline
41 & 166 & 120.291 & 45.7088 \tabularnewline
42 & 157 & 113.368 & 43.6318 \tabularnewline
43 & 111 & 114.281 & -3.28146 \tabularnewline
44 & 145 & 116.094 & 28.9055 \tabularnewline
45 & 162 & 115.44 & 46.5599 \tabularnewline
46 & 163 & 109.625 & 53.3747 \tabularnewline
47 & 59 & 109.628 & -50.6281 \tabularnewline
48 & 187 & 121.196 & 65.8036 \tabularnewline
49 & 109 & 116.406 & -7.40636 \tabularnewline
50 & 90 & 118.729 & -28.729 \tabularnewline
51 & 105 & 119.606 & -14.6063 \tabularnewline
52 & 83 & 115.214 & -32.2145 \tabularnewline
53 & 116 & 116.317 & -0.317365 \tabularnewline
54 & 42 & 116.15 & -74.1502 \tabularnewline
55 & 148 & 114.393 & 33.6071 \tabularnewline
56 & 155 & 120.032 & 34.9676 \tabularnewline
57 & 125 & 119.893 & 5.10696 \tabularnewline
58 & 116 & 117.339 & -1.33937 \tabularnewline
59 & 128 & 111.639 & 16.3612 \tabularnewline
60 & 138 & 116.972 & 21.0283 \tabularnewline
61 & 49 & 114.591 & -65.5907 \tabularnewline
62 & 96 & 115.526 & -19.5264 \tabularnewline
63 & 164 & 119.439 & 44.5609 \tabularnewline
64 & 162 & 117.027 & 44.9725 \tabularnewline
65 & 99 & 111.639 & -12.6388 \tabularnewline
66 & 202 & 114.251 & 87.7491 \tabularnewline
67 & 186 & 117.512 & 68.488 \tabularnewline
68 & 66 & 114.421 & -48.4208 \tabularnewline
69 & 183 & 119.72 & 63.2795 \tabularnewline
70 & 214 & 118.929 & 95.0705 \tabularnewline
71 & 188 & 114.477 & 73.5235 \tabularnewline
72 & 104 & 111.953 & -7.9534 \tabularnewline
73 & 177 & 117.03 & 59.9698 \tabularnewline
74 & 126 & 116.32 & 9.67993 \tabularnewline
75 & 76 & 118.448 & -42.4477 \tabularnewline
76 & 99 & 122.135 & -23.1348 \tabularnewline
77 & 157 & 114.165 & 42.8354 \tabularnewline
78 & 139 & 109.965 & 29.0349 \tabularnewline
79 & 78 & 120.378 & -42.3775 \tabularnewline
80 & 162 & 113.087 & 48.9131 \tabularnewline
81 & 108 & 112.975 & -4.97541 \tabularnewline
82 & 159 & 120.715 & 38.2854 \tabularnewline
83 & 74 & 110.45 & -36.4496 \tabularnewline
84 & 110 & 115.95 & -5.94973 \tabularnewline
85 & 96 & 115.412 & -19.4122 \tabularnewline
86 & 116 & 116.29 & -0.289502 \tabularnewline
87 & 87 & 114.56 & -27.5601 \tabularnewline
88 & 97 & 117.821 & -20.8212 \tabularnewline
89 & 127 & 113.599 & 13.4008 \tabularnewline
90 & 106 & 118.503 & -12.5034 \tabularnewline
91 & 80 & 118.843 & -38.8432 \tabularnewline
92 & 74 & 118.075 & -44.0746 \tabularnewline
93 & 91 & 117.312 & -26.3115 \tabularnewline
94 & 133 & 115.978 & 17.0224 \tabularnewline
95 & 74 & 116.916 & -42.916 \tabularnewline
96 & 114 & 110.876 & 3.12433 \tabularnewline
97 & 140 & 121.366 & 18.6337 \tabularnewline
98 & 95 & 110.252 & -15.2519 \tabularnewline
99 & 98 & 115.952 & -17.9524 \tabularnewline
100 & 121 & 120.316 & 0.6836 \tabularnewline
101 & 126 & 118.361 & 7.63862 \tabularnewline
102 & 98 & 117.623 & -19.6234 \tabularnewline
103 & 95 & 113.513 & -18.5129 \tabularnewline
104 & 110 & 118.955 & -8.95462 \tabularnewline
105 & 70 & 117.793 & -47.7933 \tabularnewline
106 & 102 & 119.294 & -17.2944 \tabularnewline
107 & 86 & 107.954 & -21.9544 \tabularnewline
108 & 130 & 118.303 & 11.697 \tabularnewline
109 & 96 & 116.206 & -20.2059 \tabularnewline
110 & 102 & 116.462 & -14.4621 \tabularnewline
111 & 100 & 118.278 & -18.2778 \tabularnewline
112 & 94 & 114.73 & -20.73 \tabularnewline
113 & 52 & 118.843 & -66.8432 \tabularnewline
114 & 98 & 118.164 & -20.1636 \tabularnewline
115 & 118 & 119.353 & -1.35282 \tabularnewline
116 & 99 & 119.155 & -20.1551 \tabularnewline
117 & 48 & 118.478 & -70.4782 \tabularnewline
118 & 50 & 106.54 & -56.5396 \tabularnewline
119 & 150 & 114.334 & 35.6655 \tabularnewline
120 & 154 & 117.169 & 36.8305 \tabularnewline
121 & 109 & 117.626 & -8.62612 \tabularnewline
122 & 68 & 118.704 & -50.7039 \tabularnewline
123 & 194 & 117.286 & 76.7136 \tabularnewline
124 & 158 & 118.957 & 39.0427 \tabularnewline
125 & 159 & 118.701 & 40.2989 \tabularnewline
126 & 67 & 116.49 & -49.49 \tabularnewline
127 & 147 & 116.551 & 30.4489 \tabularnewline
128 & 39 & 119.606 & -80.6063 \tabularnewline
129 & 100 & 116.632 & -16.632 \tabularnewline
130 & 111 & 117 & -5.99961 \tabularnewline
131 & 138 & 111.953 & 26.0466 \tabularnewline
132 & 101 & 117.114 & -16.1138 \tabularnewline
133 & 131 & 121.876 & 9.12408 \tabularnewline
134 & 101 & 116.462 & -15.4621 \tabularnewline
135 & 114 & 115.952 & -1.95244 \tabularnewline
136 & 165 & 118.559 & 46.4409 \tabularnewline
137 & 114 & 114.872 & -0.871999 \tabularnewline
138 & 111 & 119.211 & -8.2108 \tabularnewline
139 & 75 & 111.132 & -36.1318 \tabularnewline
140 & 82 & 121.737 & -39.7366 \tabularnewline
141 & 121 & 115.045 & 5.95541 \tabularnewline
142 & 32 & 116.262 & -84.2616 \tabularnewline
143 & 150 & 117.821 & 32.1788 \tabularnewline
144 & 117 & 121.285 & -4.28539 \tabularnewline
145 & 71 & 111.842 & -40.842 \tabularnewline
146 & 165 & 114.22 & 50.7797 \tabularnewline
147 & 154 & 120.656 & 33.3438 \tabularnewline
148 & 126 & 114.928 & 11.0723 \tabularnewline
149 & 138 & 118.278 & 19.7222 \tabularnewline
150 & 149 & 117 & 32.0004 \tabularnewline
151 & 145 & 115.473 & 29.5266 \tabularnewline
152 & 120 & 124.886 & -4.88622 \tabularnewline
153 & 138 & 117.03 & 20.9698 \tabularnewline
154 & 109 & 117.2 & -8.20006 \tabularnewline
155 & 132 & 116.718 & 15.2817 \tabularnewline
156 & 172 & 117.314 & 54.6858 \tabularnewline
157 & 169 & 116.997 & 52.0031 \tabularnewline
158 & 114 & 118.448 & -4.44768 \tabularnewline
159 & 156 & 118.448 & 37.5523 \tabularnewline
160 & 172 & 110.168 & 61.8317 \tabularnewline
161 & 68 & 121.283 & -53.2827 \tabularnewline
162 & 89 & 121.709 & -32.7087 \tabularnewline
163 & 167 & 123.608 & 43.392 \tabularnewline
164 & 113 & 116.574 & -3.57354 \tabularnewline
165 & 115 & 121.369 & -6.36898 \tabularnewline
166 & 78 & 112.605 & -34.6051 \tabularnewline
167 & 118 & 114.903 & 3.09743 \tabularnewline
168 & 87 & 117.793 & -30.7933 \tabularnewline
169 & 173 & 114.677 & 58.323 \tabularnewline
170 & 2 & 120.149 & -118.149 \tabularnewline
171 & 162 & 118.592 & 43.4076 \tabularnewline
172 & 49 & 115.724 & -66.7241 \tabularnewline
173 & 122 & 115.354 & 6.64621 \tabularnewline
174 & 96 & 116.83 & -20.8297 \tabularnewline
175 & 100 & 121.425 & -21.4247 \tabularnewline
176 & 82 & 118.871 & -36.871 \tabularnewline
177 & 100 & 123.803 & -23.8031 \tabularnewline
178 & 115 & 116.604 & -1.60411 \tabularnewline
179 & 141 & 117.169 & 23.8305 \tabularnewline
180 & 165 & 118.732 & 46.2683 \tabularnewline
181 & 165 & 118.448 & 46.5523 \tabularnewline
182 & 110 & 115.524 & -5.52367 \tabularnewline
183 & 118 & 116.351 & 1.64936 \tabularnewline
184 & 158 & 108.495 & 49.5054 \tabularnewline
185 & 146 & 115.214 & 30.7855 \tabularnewline
186 & 49 & 114.05 & -65.0504 \tabularnewline
187 & 90 & 116.86 & -26.8603 \tabularnewline
188 & 121 & 113.429 & 7.57066 \tabularnewline
189 & 155 & 115.752 & 39.248 \tabularnewline
190 & 104 & 117.367 & -13.3672 \tabularnewline
191 & 147 & 111.614 & 35.3864 \tabularnewline
192 & 110 & 118.787 & -8.78744 \tabularnewline
193 & 108 & 118.985 & -10.9852 \tabularnewline
194 & 113 & 119.041 & -6.04092 \tabularnewline
195 & 115 & 119.779 & -4.77888 \tabularnewline
196 & 61 & 115.808 & -54.8077 \tabularnewline
197 & 60 & 115.045 & -55.0446 \tabularnewline
198 & 109 & 119.748 & -10.7483 \tabularnewline
199 & 68 & 119.667 & -51.6674 \tabularnewline
200 & 111 & 120.091 & -9.09079 \tabularnewline
201 & 77 & 113.543 & -36.5435 \tabularnewline
202 & 73 & 118.423 & -45.4225 \tabularnewline
203 & 151 & 114.248 & 36.7518 \tabularnewline
204 & 89 & 115.668 & -26.6684 \tabularnewline
205 & 78 & 115.072 & -37.0725 \tabularnewline
206 & 110 & 120.999 & -10.9986 \tabularnewline
207 & 220 & 121.463 & 98.5366 \tabularnewline
208 & 65 & 122.051 & -57.0512 \tabularnewline
209 & 141 & 117.935 & 23.0647 \tabularnewline
210 & 117 & 113.285 & 3.71539 \tabularnewline
211 & 122 & 114.19 & 7.81024 \tabularnewline
212 & 63 & 113.115 & -50.1147 \tabularnewline
213 & 44 & 116.574 & -72.5735 \tabularnewline
214 & 52 & 114.538 & -62.5376 \tabularnewline
215 & 62 & 117.596 & -55.5956 \tabularnewline
216 & 131 & 113.17 & 17.8295 \tabularnewline
217 & 101 & 114.588 & -13.588 \tabularnewline
218 & 42 & 116.972 & -74.9717 \tabularnewline
219 & 152 & 117.197 & 34.8026 \tabularnewline
220 & 107 & 117.707 & -10.707 \tabularnewline
221 & 77 & 115.579 & -38.5794 \tabularnewline
222 & 154 & 116.317 & 37.6826 \tabularnewline
223 & 103 & 117.258 & -14.2585 \tabularnewline
224 & 96 & 112.521 & -16.5215 \tabularnewline
225 & 154 & 115.813 & 38.1869 \tabularnewline
226 & 175 & 117.963 & 57.0368 \tabularnewline
227 & 57 & 114.05 & -57.0504 \tabularnewline
228 & 112 & 116.178 & -4.17805 \tabularnewline
229 & 143 & 116.515 & 26.4849 \tabularnewline
230 & 49 & 118.387 & -69.3865 \tabularnewline
231 & 110 & 117.654 & -7.65398 \tabularnewline
232 & 131 & 114.248 & 16.7518 \tabularnewline
233 & 167 & 115.468 & 51.5321 \tabularnewline
234 & 56 & 115.214 & -59.2145 \tabularnewline
235 & 137 & 118.957 & 18.0427 \tabularnewline
236 & 86 & 118.757 & -32.7569 \tabularnewline
237 & 121 & 118.331 & 2.66919 \tabularnewline
238 & 149 & 115.894 & 33.106 \tabularnewline
239 & 168 & 120.091 & 47.9092 \tabularnewline
240 & 140 & 116.916 & 23.084 \tabularnewline
241 & 88 & 119.038 & -31.0382 \tabularnewline
242 & 168 & 114.73 & 53.27 \tabularnewline
243 & 94 & 116.83 & -22.8297 \tabularnewline
244 & 51 & 118.929 & -67.9295 \tabularnewline
245 & 48 & 116.601 & -68.6014 \tabularnewline
246 & 145 & 118.643 & 26.3573 \tabularnewline
247 & 66 & 114.627 & -48.6266 \tabularnewline
248 & 85 & 119.977 & -34.9766 \tabularnewline
249 & 109 & 121.848 & -12.8481 \tabularnewline
250 & 63 & 113.168 & -50.1677 \tabularnewline
251 & 102 & 118.191 & -16.1915 \tabularnewline
252 & 162 & 115.925 & 46.0754 \tabularnewline
253 & 128 & 117.824 & 10.1761 \tabularnewline
254 & 86 & 115.783 & -29.7826 \tabularnewline
255 & 114 & 116.203 & -2.20321 \tabularnewline
256 & 164 & 114.819 & 49.181 \tabularnewline
257 & 119 & 113.769 & 5.23089 \tabularnewline
258 & 126 & 119.495 & 6.50516 \tabularnewline
259 & 132 & 119.495 & 12.5052 \tabularnewline
260 & 142 & 116.601 & 25.3986 \tabularnewline
261 & 83 & 115.61 & -32.61 \tabularnewline
262 & 94 & 115.582 & -21.5821 \tabularnewline
263 & 81 & 107.843 & -26.8429 \tabularnewline
264 & 166 & 113.059 & 52.941 \tabularnewline
265 & 110 & 118.531 & -8.53127 \tabularnewline
266 & 64 & 116.459 & -52.4594 \tabularnewline
267 & 93 & 118.584 & -25.5843 \tabularnewline
268 & 104 & 115.808 & -11.8077 \tabularnewline
269 & 105 & 114.791 & -9.79111 \tabularnewline
270 & 49 & 118.762 & -69.7623 \tabularnewline
271 & 88 & 115.836 & -27.8356 \tabularnewline
272 & 95 & 115.699 & -20.699 \tabularnewline
273 & 102 & 119.751 & -17.751 \tabularnewline
274 & 99 & 116.802 & -17.8019 \tabularnewline
275 & 63 & 117.002 & -54.0023 \tabularnewline
276 & 76 & 113.488 & -37.4878 \tabularnewline
277 & 109 & 121.845 & -12.8454 \tabularnewline
278 & 117 & 120.573 & -3.57258 \tabularnewline
279 & 57 & 118.899 & -61.8989 \tabularnewline
280 & 120 & 117.395 & 2.6049 \tabularnewline
281 & 73 & 113.51 & -40.5102 \tabularnewline
282 & 91 & 116.716 & -25.7156 \tabularnewline
283 & 108 & 117.793 & -9.7933 \tabularnewline
284 & 105 & 118.985 & -13.9852 \tabularnewline
285 & 117 & 115.415 & 1.58508 \tabularnewline
286 & 119 & 117.197 & 1.80265 \tabularnewline
287 & 31 & 114.307 & -83.3066 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267341&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]110.511[/C][C]38.4893[/C][/ROW]
[ROW][C]2[/C][C]152[/C][C]115.752[/C][C]36.248[/C][/ROW]
[ROW][C]3[/C][C]139[/C][C]118.476[/C][C]20.5245[/C][/ROW]
[ROW][C]4[/C][C]148[/C][C]113.374[/C][C]34.6264[/C][/ROW]
[ROW][C]5[/C][C]158[/C][C]120.316[/C][C]37.6836[/C][/ROW]
[ROW][C]6[/C][C]128[/C][C]115.245[/C][C]12.755[/C][/ROW]
[ROW][C]7[/C][C]224[/C][C]116.49[/C][C]107.51[/C][/ROW]
[ROW][C]8[/C][C]159[/C][C]115.354[/C][C]43.6462[/C][/ROW]
[ROW][C]9[/C][C]105[/C][C]115.529[/C][C]-10.5291[/C][/ROW]
[ROW][C]10[/C][C]159[/C][C]123.773[/C][C]35.2275[/C][/ROW]
[ROW][C]11[/C][C]167[/C][C]124.435[/C][C]42.565[/C][/ROW]
[ROW][C]12[/C][C]165[/C][C]115.412[/C][C]49.5878[/C][/ROW]
[ROW][C]13[/C][C]159[/C][C]122.104[/C][C]36.8958[/C][/ROW]
[ROW][C]14[/C][C]119[/C][C]114.644[/C][C]4.35632[/C][/ROW]
[ROW][C]15[/C][C]176[/C][C]117.225[/C][C]58.7748[/C][/ROW]
[ROW][C]16[/C][C]54[/C][C]120.06[/C][C]-66.0602[/C][/ROW]
[ROW][C]17[/C][C]91[/C][C]118.615[/C][C]-27.6149[/C][/ROW]
[ROW][C]18[/C][C]163[/C][C]113.541[/C][C]49.4592[/C][/ROW]
[ROW][C]19[/C][C]124[/C][C]117.027[/C][C]6.97253[/C][/ROW]
[ROW][C]20[/C][C]137[/C][C]118.306[/C][C]18.6943[/C][/ROW]
[ROW][C]21[/C][C]121[/C][C]121.08[/C][C]-0.0795245[/C][/ROW]
[ROW][C]22[/C][C]153[/C][C]119.693[/C][C]33.3074[/C][/ROW]
[ROW][C]23[/C][C]148[/C][C]119.353[/C][C]28.6472[/C][/ROW]
[ROW][C]24[/C][C]221[/C][C]117.509[/C][C]103.491[/C][/ROW]
[ROW][C]25[/C][C]188[/C][C]117.055[/C][C]70.9447[/C][/ROW]
[ROW][C]26[/C][C]149[/C][C]119.495[/C][C]29.5052[/C][/ROW]
[ROW][C]27[/C][C]244[/C][C]116.092[/C][C]127.908[/C][/ROW]
[ROW][C]28[/C][C]148[/C][C]117.623[/C][C]30.3766[/C][/ROW]
[ROW][C]29[/C][C]92[/C][C]116.746[/C][C]-24.7461[/C][/ROW]
[ROW][C]30[/C][C]150[/C][C]119.949[/C][C]30.0512[/C][/ROW]
[ROW][C]31[/C][C]153[/C][C]115.24[/C][C]37.7604[/C][/ROW]
[ROW][C]32[/C][C]94[/C][C]108.606[/C][C]-14.606[/C][/ROW]
[ROW][C]33[/C][C]156[/C][C]117.824[/C][C]38.1761[/C][/ROW]
[ROW][C]34[/C][C]146[/C][C]114.474[/C][C]31.5262[/C][/ROW]
[ROW][C]35[/C][C]132[/C][C]117.367[/C][C]14.6328[/C][/ROW]
[ROW][C]36[/C][C]161[/C][C]113.115[/C][C]47.8853[/C][/ROW]
[ROW][C]37[/C][C]105[/C][C]115.326[/C][C]-10.3259[/C][/ROW]
[ROW][C]38[/C][C]97[/C][C]117.228[/C][C]-20.2279[/C][/ROW]
[ROW][C]39[/C][C]151[/C][C]116.404[/C][C]34.5963[/C][/ROW]
[ROW][C]40[/C][C]131[/C][C]117.88[/C][C]13.1204[/C][/ROW]
[ROW][C]41[/C][C]166[/C][C]120.291[/C][C]45.7088[/C][/ROW]
[ROW][C]42[/C][C]157[/C][C]113.368[/C][C]43.6318[/C][/ROW]
[ROW][C]43[/C][C]111[/C][C]114.281[/C][C]-3.28146[/C][/ROW]
[ROW][C]44[/C][C]145[/C][C]116.094[/C][C]28.9055[/C][/ROW]
[ROW][C]45[/C][C]162[/C][C]115.44[/C][C]46.5599[/C][/ROW]
[ROW][C]46[/C][C]163[/C][C]109.625[/C][C]53.3747[/C][/ROW]
[ROW][C]47[/C][C]59[/C][C]109.628[/C][C]-50.6281[/C][/ROW]
[ROW][C]48[/C][C]187[/C][C]121.196[/C][C]65.8036[/C][/ROW]
[ROW][C]49[/C][C]109[/C][C]116.406[/C][C]-7.40636[/C][/ROW]
[ROW][C]50[/C][C]90[/C][C]118.729[/C][C]-28.729[/C][/ROW]
[ROW][C]51[/C][C]105[/C][C]119.606[/C][C]-14.6063[/C][/ROW]
[ROW][C]52[/C][C]83[/C][C]115.214[/C][C]-32.2145[/C][/ROW]
[ROW][C]53[/C][C]116[/C][C]116.317[/C][C]-0.317365[/C][/ROW]
[ROW][C]54[/C][C]42[/C][C]116.15[/C][C]-74.1502[/C][/ROW]
[ROW][C]55[/C][C]148[/C][C]114.393[/C][C]33.6071[/C][/ROW]
[ROW][C]56[/C][C]155[/C][C]120.032[/C][C]34.9676[/C][/ROW]
[ROW][C]57[/C][C]125[/C][C]119.893[/C][C]5.10696[/C][/ROW]
[ROW][C]58[/C][C]116[/C][C]117.339[/C][C]-1.33937[/C][/ROW]
[ROW][C]59[/C][C]128[/C][C]111.639[/C][C]16.3612[/C][/ROW]
[ROW][C]60[/C][C]138[/C][C]116.972[/C][C]21.0283[/C][/ROW]
[ROW][C]61[/C][C]49[/C][C]114.591[/C][C]-65.5907[/C][/ROW]
[ROW][C]62[/C][C]96[/C][C]115.526[/C][C]-19.5264[/C][/ROW]
[ROW][C]63[/C][C]164[/C][C]119.439[/C][C]44.5609[/C][/ROW]
[ROW][C]64[/C][C]162[/C][C]117.027[/C][C]44.9725[/C][/ROW]
[ROW][C]65[/C][C]99[/C][C]111.639[/C][C]-12.6388[/C][/ROW]
[ROW][C]66[/C][C]202[/C][C]114.251[/C][C]87.7491[/C][/ROW]
[ROW][C]67[/C][C]186[/C][C]117.512[/C][C]68.488[/C][/ROW]
[ROW][C]68[/C][C]66[/C][C]114.421[/C][C]-48.4208[/C][/ROW]
[ROW][C]69[/C][C]183[/C][C]119.72[/C][C]63.2795[/C][/ROW]
[ROW][C]70[/C][C]214[/C][C]118.929[/C][C]95.0705[/C][/ROW]
[ROW][C]71[/C][C]188[/C][C]114.477[/C][C]73.5235[/C][/ROW]
[ROW][C]72[/C][C]104[/C][C]111.953[/C][C]-7.9534[/C][/ROW]
[ROW][C]73[/C][C]177[/C][C]117.03[/C][C]59.9698[/C][/ROW]
[ROW][C]74[/C][C]126[/C][C]116.32[/C][C]9.67993[/C][/ROW]
[ROW][C]75[/C][C]76[/C][C]118.448[/C][C]-42.4477[/C][/ROW]
[ROW][C]76[/C][C]99[/C][C]122.135[/C][C]-23.1348[/C][/ROW]
[ROW][C]77[/C][C]157[/C][C]114.165[/C][C]42.8354[/C][/ROW]
[ROW][C]78[/C][C]139[/C][C]109.965[/C][C]29.0349[/C][/ROW]
[ROW][C]79[/C][C]78[/C][C]120.378[/C][C]-42.3775[/C][/ROW]
[ROW][C]80[/C][C]162[/C][C]113.087[/C][C]48.9131[/C][/ROW]
[ROW][C]81[/C][C]108[/C][C]112.975[/C][C]-4.97541[/C][/ROW]
[ROW][C]82[/C][C]159[/C][C]120.715[/C][C]38.2854[/C][/ROW]
[ROW][C]83[/C][C]74[/C][C]110.45[/C][C]-36.4496[/C][/ROW]
[ROW][C]84[/C][C]110[/C][C]115.95[/C][C]-5.94973[/C][/ROW]
[ROW][C]85[/C][C]96[/C][C]115.412[/C][C]-19.4122[/C][/ROW]
[ROW][C]86[/C][C]116[/C][C]116.29[/C][C]-0.289502[/C][/ROW]
[ROW][C]87[/C][C]87[/C][C]114.56[/C][C]-27.5601[/C][/ROW]
[ROW][C]88[/C][C]97[/C][C]117.821[/C][C]-20.8212[/C][/ROW]
[ROW][C]89[/C][C]127[/C][C]113.599[/C][C]13.4008[/C][/ROW]
[ROW][C]90[/C][C]106[/C][C]118.503[/C][C]-12.5034[/C][/ROW]
[ROW][C]91[/C][C]80[/C][C]118.843[/C][C]-38.8432[/C][/ROW]
[ROW][C]92[/C][C]74[/C][C]118.075[/C][C]-44.0746[/C][/ROW]
[ROW][C]93[/C][C]91[/C][C]117.312[/C][C]-26.3115[/C][/ROW]
[ROW][C]94[/C][C]133[/C][C]115.978[/C][C]17.0224[/C][/ROW]
[ROW][C]95[/C][C]74[/C][C]116.916[/C][C]-42.916[/C][/ROW]
[ROW][C]96[/C][C]114[/C][C]110.876[/C][C]3.12433[/C][/ROW]
[ROW][C]97[/C][C]140[/C][C]121.366[/C][C]18.6337[/C][/ROW]
[ROW][C]98[/C][C]95[/C][C]110.252[/C][C]-15.2519[/C][/ROW]
[ROW][C]99[/C][C]98[/C][C]115.952[/C][C]-17.9524[/C][/ROW]
[ROW][C]100[/C][C]121[/C][C]120.316[/C][C]0.6836[/C][/ROW]
[ROW][C]101[/C][C]126[/C][C]118.361[/C][C]7.63862[/C][/ROW]
[ROW][C]102[/C][C]98[/C][C]117.623[/C][C]-19.6234[/C][/ROW]
[ROW][C]103[/C][C]95[/C][C]113.513[/C][C]-18.5129[/C][/ROW]
[ROW][C]104[/C][C]110[/C][C]118.955[/C][C]-8.95462[/C][/ROW]
[ROW][C]105[/C][C]70[/C][C]117.793[/C][C]-47.7933[/C][/ROW]
[ROW][C]106[/C][C]102[/C][C]119.294[/C][C]-17.2944[/C][/ROW]
[ROW][C]107[/C][C]86[/C][C]107.954[/C][C]-21.9544[/C][/ROW]
[ROW][C]108[/C][C]130[/C][C]118.303[/C][C]11.697[/C][/ROW]
[ROW][C]109[/C][C]96[/C][C]116.206[/C][C]-20.2059[/C][/ROW]
[ROW][C]110[/C][C]102[/C][C]116.462[/C][C]-14.4621[/C][/ROW]
[ROW][C]111[/C][C]100[/C][C]118.278[/C][C]-18.2778[/C][/ROW]
[ROW][C]112[/C][C]94[/C][C]114.73[/C][C]-20.73[/C][/ROW]
[ROW][C]113[/C][C]52[/C][C]118.843[/C][C]-66.8432[/C][/ROW]
[ROW][C]114[/C][C]98[/C][C]118.164[/C][C]-20.1636[/C][/ROW]
[ROW][C]115[/C][C]118[/C][C]119.353[/C][C]-1.35282[/C][/ROW]
[ROW][C]116[/C][C]99[/C][C]119.155[/C][C]-20.1551[/C][/ROW]
[ROW][C]117[/C][C]48[/C][C]118.478[/C][C]-70.4782[/C][/ROW]
[ROW][C]118[/C][C]50[/C][C]106.54[/C][C]-56.5396[/C][/ROW]
[ROW][C]119[/C][C]150[/C][C]114.334[/C][C]35.6655[/C][/ROW]
[ROW][C]120[/C][C]154[/C][C]117.169[/C][C]36.8305[/C][/ROW]
[ROW][C]121[/C][C]109[/C][C]117.626[/C][C]-8.62612[/C][/ROW]
[ROW][C]122[/C][C]68[/C][C]118.704[/C][C]-50.7039[/C][/ROW]
[ROW][C]123[/C][C]194[/C][C]117.286[/C][C]76.7136[/C][/ROW]
[ROW][C]124[/C][C]158[/C][C]118.957[/C][C]39.0427[/C][/ROW]
[ROW][C]125[/C][C]159[/C][C]118.701[/C][C]40.2989[/C][/ROW]
[ROW][C]126[/C][C]67[/C][C]116.49[/C][C]-49.49[/C][/ROW]
[ROW][C]127[/C][C]147[/C][C]116.551[/C][C]30.4489[/C][/ROW]
[ROW][C]128[/C][C]39[/C][C]119.606[/C][C]-80.6063[/C][/ROW]
[ROW][C]129[/C][C]100[/C][C]116.632[/C][C]-16.632[/C][/ROW]
[ROW][C]130[/C][C]111[/C][C]117[/C][C]-5.99961[/C][/ROW]
[ROW][C]131[/C][C]138[/C][C]111.953[/C][C]26.0466[/C][/ROW]
[ROW][C]132[/C][C]101[/C][C]117.114[/C][C]-16.1138[/C][/ROW]
[ROW][C]133[/C][C]131[/C][C]121.876[/C][C]9.12408[/C][/ROW]
[ROW][C]134[/C][C]101[/C][C]116.462[/C][C]-15.4621[/C][/ROW]
[ROW][C]135[/C][C]114[/C][C]115.952[/C][C]-1.95244[/C][/ROW]
[ROW][C]136[/C][C]165[/C][C]118.559[/C][C]46.4409[/C][/ROW]
[ROW][C]137[/C][C]114[/C][C]114.872[/C][C]-0.871999[/C][/ROW]
[ROW][C]138[/C][C]111[/C][C]119.211[/C][C]-8.2108[/C][/ROW]
[ROW][C]139[/C][C]75[/C][C]111.132[/C][C]-36.1318[/C][/ROW]
[ROW][C]140[/C][C]82[/C][C]121.737[/C][C]-39.7366[/C][/ROW]
[ROW][C]141[/C][C]121[/C][C]115.045[/C][C]5.95541[/C][/ROW]
[ROW][C]142[/C][C]32[/C][C]116.262[/C][C]-84.2616[/C][/ROW]
[ROW][C]143[/C][C]150[/C][C]117.821[/C][C]32.1788[/C][/ROW]
[ROW][C]144[/C][C]117[/C][C]121.285[/C][C]-4.28539[/C][/ROW]
[ROW][C]145[/C][C]71[/C][C]111.842[/C][C]-40.842[/C][/ROW]
[ROW][C]146[/C][C]165[/C][C]114.22[/C][C]50.7797[/C][/ROW]
[ROW][C]147[/C][C]154[/C][C]120.656[/C][C]33.3438[/C][/ROW]
[ROW][C]148[/C][C]126[/C][C]114.928[/C][C]11.0723[/C][/ROW]
[ROW][C]149[/C][C]138[/C][C]118.278[/C][C]19.7222[/C][/ROW]
[ROW][C]150[/C][C]149[/C][C]117[/C][C]32.0004[/C][/ROW]
[ROW][C]151[/C][C]145[/C][C]115.473[/C][C]29.5266[/C][/ROW]
[ROW][C]152[/C][C]120[/C][C]124.886[/C][C]-4.88622[/C][/ROW]
[ROW][C]153[/C][C]138[/C][C]117.03[/C][C]20.9698[/C][/ROW]
[ROW][C]154[/C][C]109[/C][C]117.2[/C][C]-8.20006[/C][/ROW]
[ROW][C]155[/C][C]132[/C][C]116.718[/C][C]15.2817[/C][/ROW]
[ROW][C]156[/C][C]172[/C][C]117.314[/C][C]54.6858[/C][/ROW]
[ROW][C]157[/C][C]169[/C][C]116.997[/C][C]52.0031[/C][/ROW]
[ROW][C]158[/C][C]114[/C][C]118.448[/C][C]-4.44768[/C][/ROW]
[ROW][C]159[/C][C]156[/C][C]118.448[/C][C]37.5523[/C][/ROW]
[ROW][C]160[/C][C]172[/C][C]110.168[/C][C]61.8317[/C][/ROW]
[ROW][C]161[/C][C]68[/C][C]121.283[/C][C]-53.2827[/C][/ROW]
[ROW][C]162[/C][C]89[/C][C]121.709[/C][C]-32.7087[/C][/ROW]
[ROW][C]163[/C][C]167[/C][C]123.608[/C][C]43.392[/C][/ROW]
[ROW][C]164[/C][C]113[/C][C]116.574[/C][C]-3.57354[/C][/ROW]
[ROW][C]165[/C][C]115[/C][C]121.369[/C][C]-6.36898[/C][/ROW]
[ROW][C]166[/C][C]78[/C][C]112.605[/C][C]-34.6051[/C][/ROW]
[ROW][C]167[/C][C]118[/C][C]114.903[/C][C]3.09743[/C][/ROW]
[ROW][C]168[/C][C]87[/C][C]117.793[/C][C]-30.7933[/C][/ROW]
[ROW][C]169[/C][C]173[/C][C]114.677[/C][C]58.323[/C][/ROW]
[ROW][C]170[/C][C]2[/C][C]120.149[/C][C]-118.149[/C][/ROW]
[ROW][C]171[/C][C]162[/C][C]118.592[/C][C]43.4076[/C][/ROW]
[ROW][C]172[/C][C]49[/C][C]115.724[/C][C]-66.7241[/C][/ROW]
[ROW][C]173[/C][C]122[/C][C]115.354[/C][C]6.64621[/C][/ROW]
[ROW][C]174[/C][C]96[/C][C]116.83[/C][C]-20.8297[/C][/ROW]
[ROW][C]175[/C][C]100[/C][C]121.425[/C][C]-21.4247[/C][/ROW]
[ROW][C]176[/C][C]82[/C][C]118.871[/C][C]-36.871[/C][/ROW]
[ROW][C]177[/C][C]100[/C][C]123.803[/C][C]-23.8031[/C][/ROW]
[ROW][C]178[/C][C]115[/C][C]116.604[/C][C]-1.60411[/C][/ROW]
[ROW][C]179[/C][C]141[/C][C]117.169[/C][C]23.8305[/C][/ROW]
[ROW][C]180[/C][C]165[/C][C]118.732[/C][C]46.2683[/C][/ROW]
[ROW][C]181[/C][C]165[/C][C]118.448[/C][C]46.5523[/C][/ROW]
[ROW][C]182[/C][C]110[/C][C]115.524[/C][C]-5.52367[/C][/ROW]
[ROW][C]183[/C][C]118[/C][C]116.351[/C][C]1.64936[/C][/ROW]
[ROW][C]184[/C][C]158[/C][C]108.495[/C][C]49.5054[/C][/ROW]
[ROW][C]185[/C][C]146[/C][C]115.214[/C][C]30.7855[/C][/ROW]
[ROW][C]186[/C][C]49[/C][C]114.05[/C][C]-65.0504[/C][/ROW]
[ROW][C]187[/C][C]90[/C][C]116.86[/C][C]-26.8603[/C][/ROW]
[ROW][C]188[/C][C]121[/C][C]113.429[/C][C]7.57066[/C][/ROW]
[ROW][C]189[/C][C]155[/C][C]115.752[/C][C]39.248[/C][/ROW]
[ROW][C]190[/C][C]104[/C][C]117.367[/C][C]-13.3672[/C][/ROW]
[ROW][C]191[/C][C]147[/C][C]111.614[/C][C]35.3864[/C][/ROW]
[ROW][C]192[/C][C]110[/C][C]118.787[/C][C]-8.78744[/C][/ROW]
[ROW][C]193[/C][C]108[/C][C]118.985[/C][C]-10.9852[/C][/ROW]
[ROW][C]194[/C][C]113[/C][C]119.041[/C][C]-6.04092[/C][/ROW]
[ROW][C]195[/C][C]115[/C][C]119.779[/C][C]-4.77888[/C][/ROW]
[ROW][C]196[/C][C]61[/C][C]115.808[/C][C]-54.8077[/C][/ROW]
[ROW][C]197[/C][C]60[/C][C]115.045[/C][C]-55.0446[/C][/ROW]
[ROW][C]198[/C][C]109[/C][C]119.748[/C][C]-10.7483[/C][/ROW]
[ROW][C]199[/C][C]68[/C][C]119.667[/C][C]-51.6674[/C][/ROW]
[ROW][C]200[/C][C]111[/C][C]120.091[/C][C]-9.09079[/C][/ROW]
[ROW][C]201[/C][C]77[/C][C]113.543[/C][C]-36.5435[/C][/ROW]
[ROW][C]202[/C][C]73[/C][C]118.423[/C][C]-45.4225[/C][/ROW]
[ROW][C]203[/C][C]151[/C][C]114.248[/C][C]36.7518[/C][/ROW]
[ROW][C]204[/C][C]89[/C][C]115.668[/C][C]-26.6684[/C][/ROW]
[ROW][C]205[/C][C]78[/C][C]115.072[/C][C]-37.0725[/C][/ROW]
[ROW][C]206[/C][C]110[/C][C]120.999[/C][C]-10.9986[/C][/ROW]
[ROW][C]207[/C][C]220[/C][C]121.463[/C][C]98.5366[/C][/ROW]
[ROW][C]208[/C][C]65[/C][C]122.051[/C][C]-57.0512[/C][/ROW]
[ROW][C]209[/C][C]141[/C][C]117.935[/C][C]23.0647[/C][/ROW]
[ROW][C]210[/C][C]117[/C][C]113.285[/C][C]3.71539[/C][/ROW]
[ROW][C]211[/C][C]122[/C][C]114.19[/C][C]7.81024[/C][/ROW]
[ROW][C]212[/C][C]63[/C][C]113.115[/C][C]-50.1147[/C][/ROW]
[ROW][C]213[/C][C]44[/C][C]116.574[/C][C]-72.5735[/C][/ROW]
[ROW][C]214[/C][C]52[/C][C]114.538[/C][C]-62.5376[/C][/ROW]
[ROW][C]215[/C][C]62[/C][C]117.596[/C][C]-55.5956[/C][/ROW]
[ROW][C]216[/C][C]131[/C][C]113.17[/C][C]17.8295[/C][/ROW]
[ROW][C]217[/C][C]101[/C][C]114.588[/C][C]-13.588[/C][/ROW]
[ROW][C]218[/C][C]42[/C][C]116.972[/C][C]-74.9717[/C][/ROW]
[ROW][C]219[/C][C]152[/C][C]117.197[/C][C]34.8026[/C][/ROW]
[ROW][C]220[/C][C]107[/C][C]117.707[/C][C]-10.707[/C][/ROW]
[ROW][C]221[/C][C]77[/C][C]115.579[/C][C]-38.5794[/C][/ROW]
[ROW][C]222[/C][C]154[/C][C]116.317[/C][C]37.6826[/C][/ROW]
[ROW][C]223[/C][C]103[/C][C]117.258[/C][C]-14.2585[/C][/ROW]
[ROW][C]224[/C][C]96[/C][C]112.521[/C][C]-16.5215[/C][/ROW]
[ROW][C]225[/C][C]154[/C][C]115.813[/C][C]38.1869[/C][/ROW]
[ROW][C]226[/C][C]175[/C][C]117.963[/C][C]57.0368[/C][/ROW]
[ROW][C]227[/C][C]57[/C][C]114.05[/C][C]-57.0504[/C][/ROW]
[ROW][C]228[/C][C]112[/C][C]116.178[/C][C]-4.17805[/C][/ROW]
[ROW][C]229[/C][C]143[/C][C]116.515[/C][C]26.4849[/C][/ROW]
[ROW][C]230[/C][C]49[/C][C]118.387[/C][C]-69.3865[/C][/ROW]
[ROW][C]231[/C][C]110[/C][C]117.654[/C][C]-7.65398[/C][/ROW]
[ROW][C]232[/C][C]131[/C][C]114.248[/C][C]16.7518[/C][/ROW]
[ROW][C]233[/C][C]167[/C][C]115.468[/C][C]51.5321[/C][/ROW]
[ROW][C]234[/C][C]56[/C][C]115.214[/C][C]-59.2145[/C][/ROW]
[ROW][C]235[/C][C]137[/C][C]118.957[/C][C]18.0427[/C][/ROW]
[ROW][C]236[/C][C]86[/C][C]118.757[/C][C]-32.7569[/C][/ROW]
[ROW][C]237[/C][C]121[/C][C]118.331[/C][C]2.66919[/C][/ROW]
[ROW][C]238[/C][C]149[/C][C]115.894[/C][C]33.106[/C][/ROW]
[ROW][C]239[/C][C]168[/C][C]120.091[/C][C]47.9092[/C][/ROW]
[ROW][C]240[/C][C]140[/C][C]116.916[/C][C]23.084[/C][/ROW]
[ROW][C]241[/C][C]88[/C][C]119.038[/C][C]-31.0382[/C][/ROW]
[ROW][C]242[/C][C]168[/C][C]114.73[/C][C]53.27[/C][/ROW]
[ROW][C]243[/C][C]94[/C][C]116.83[/C][C]-22.8297[/C][/ROW]
[ROW][C]244[/C][C]51[/C][C]118.929[/C][C]-67.9295[/C][/ROW]
[ROW][C]245[/C][C]48[/C][C]116.601[/C][C]-68.6014[/C][/ROW]
[ROW][C]246[/C][C]145[/C][C]118.643[/C][C]26.3573[/C][/ROW]
[ROW][C]247[/C][C]66[/C][C]114.627[/C][C]-48.6266[/C][/ROW]
[ROW][C]248[/C][C]85[/C][C]119.977[/C][C]-34.9766[/C][/ROW]
[ROW][C]249[/C][C]109[/C][C]121.848[/C][C]-12.8481[/C][/ROW]
[ROW][C]250[/C][C]63[/C][C]113.168[/C][C]-50.1677[/C][/ROW]
[ROW][C]251[/C][C]102[/C][C]118.191[/C][C]-16.1915[/C][/ROW]
[ROW][C]252[/C][C]162[/C][C]115.925[/C][C]46.0754[/C][/ROW]
[ROW][C]253[/C][C]128[/C][C]117.824[/C][C]10.1761[/C][/ROW]
[ROW][C]254[/C][C]86[/C][C]115.783[/C][C]-29.7826[/C][/ROW]
[ROW][C]255[/C][C]114[/C][C]116.203[/C][C]-2.20321[/C][/ROW]
[ROW][C]256[/C][C]164[/C][C]114.819[/C][C]49.181[/C][/ROW]
[ROW][C]257[/C][C]119[/C][C]113.769[/C][C]5.23089[/C][/ROW]
[ROW][C]258[/C][C]126[/C][C]119.495[/C][C]6.50516[/C][/ROW]
[ROW][C]259[/C][C]132[/C][C]119.495[/C][C]12.5052[/C][/ROW]
[ROW][C]260[/C][C]142[/C][C]116.601[/C][C]25.3986[/C][/ROW]
[ROW][C]261[/C][C]83[/C][C]115.61[/C][C]-32.61[/C][/ROW]
[ROW][C]262[/C][C]94[/C][C]115.582[/C][C]-21.5821[/C][/ROW]
[ROW][C]263[/C][C]81[/C][C]107.843[/C][C]-26.8429[/C][/ROW]
[ROW][C]264[/C][C]166[/C][C]113.059[/C][C]52.941[/C][/ROW]
[ROW][C]265[/C][C]110[/C][C]118.531[/C][C]-8.53127[/C][/ROW]
[ROW][C]266[/C][C]64[/C][C]116.459[/C][C]-52.4594[/C][/ROW]
[ROW][C]267[/C][C]93[/C][C]118.584[/C][C]-25.5843[/C][/ROW]
[ROW][C]268[/C][C]104[/C][C]115.808[/C][C]-11.8077[/C][/ROW]
[ROW][C]269[/C][C]105[/C][C]114.791[/C][C]-9.79111[/C][/ROW]
[ROW][C]270[/C][C]49[/C][C]118.762[/C][C]-69.7623[/C][/ROW]
[ROW][C]271[/C][C]88[/C][C]115.836[/C][C]-27.8356[/C][/ROW]
[ROW][C]272[/C][C]95[/C][C]115.699[/C][C]-20.699[/C][/ROW]
[ROW][C]273[/C][C]102[/C][C]119.751[/C][C]-17.751[/C][/ROW]
[ROW][C]274[/C][C]99[/C][C]116.802[/C][C]-17.8019[/C][/ROW]
[ROW][C]275[/C][C]63[/C][C]117.002[/C][C]-54.0023[/C][/ROW]
[ROW][C]276[/C][C]76[/C][C]113.488[/C][C]-37.4878[/C][/ROW]
[ROW][C]277[/C][C]109[/C][C]121.845[/C][C]-12.8454[/C][/ROW]
[ROW][C]278[/C][C]117[/C][C]120.573[/C][C]-3.57258[/C][/ROW]
[ROW][C]279[/C][C]57[/C][C]118.899[/C][C]-61.8989[/C][/ROW]
[ROW][C]280[/C][C]120[/C][C]117.395[/C][C]2.6049[/C][/ROW]
[ROW][C]281[/C][C]73[/C][C]113.51[/C][C]-40.5102[/C][/ROW]
[ROW][C]282[/C][C]91[/C][C]116.716[/C][C]-25.7156[/C][/ROW]
[ROW][C]283[/C][C]108[/C][C]117.793[/C][C]-9.7933[/C][/ROW]
[ROW][C]284[/C][C]105[/C][C]118.985[/C][C]-13.9852[/C][/ROW]
[ROW][C]285[/C][C]117[/C][C]115.415[/C][C]1.58508[/C][/ROW]
[ROW][C]286[/C][C]119[/C][C]117.197[/C][C]1.80265[/C][/ROW]
[ROW][C]287[/C][C]31[/C][C]114.307[/C][C]-83.3066[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267341&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267341&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
1149110.51138.4893
2152115.75236.248
3139118.47620.5245
4148113.37434.6264
5158120.31637.6836
6128115.24512.755
7224116.49107.51
8159115.35443.6462
9105115.529-10.5291
10159123.77335.2275
11167124.43542.565
12165115.41249.5878
13159122.10436.8958
14119114.6444.35632
15176117.22558.7748
1654120.06-66.0602
1791118.615-27.6149
18163113.54149.4592
19124117.0276.97253
20137118.30618.6943
21121121.08-0.0795245
22153119.69333.3074
23148119.35328.6472
24221117.509103.491
25188117.05570.9447
26149119.49529.5052
27244116.092127.908
28148117.62330.3766
2992116.746-24.7461
30150119.94930.0512
31153115.2437.7604
3294108.606-14.606
33156117.82438.1761
34146114.47431.5262
35132117.36714.6328
36161113.11547.8853
37105115.326-10.3259
3897117.228-20.2279
39151116.40434.5963
40131117.8813.1204
41166120.29145.7088
42157113.36843.6318
43111114.281-3.28146
44145116.09428.9055
45162115.4446.5599
46163109.62553.3747
4759109.628-50.6281
48187121.19665.8036
49109116.406-7.40636
5090118.729-28.729
51105119.606-14.6063
5283115.214-32.2145
53116116.317-0.317365
5442116.15-74.1502
55148114.39333.6071
56155120.03234.9676
57125119.8935.10696
58116117.339-1.33937
59128111.63916.3612
60138116.97221.0283
6149114.591-65.5907
6296115.526-19.5264
63164119.43944.5609
64162117.02744.9725
6599111.639-12.6388
66202114.25187.7491
67186117.51268.488
6866114.421-48.4208
69183119.7263.2795
70214118.92995.0705
71188114.47773.5235
72104111.953-7.9534
73177117.0359.9698
74126116.329.67993
7576118.448-42.4477
7699122.135-23.1348
77157114.16542.8354
78139109.96529.0349
7978120.378-42.3775
80162113.08748.9131
81108112.975-4.97541
82159120.71538.2854
8374110.45-36.4496
84110115.95-5.94973
8596115.412-19.4122
86116116.29-0.289502
8787114.56-27.5601
8897117.821-20.8212
89127113.59913.4008
90106118.503-12.5034
9180118.843-38.8432
9274118.075-44.0746
9391117.312-26.3115
94133115.97817.0224
9574116.916-42.916
96114110.8763.12433
97140121.36618.6337
9895110.252-15.2519
9998115.952-17.9524
100121120.3160.6836
101126118.3617.63862
10298117.623-19.6234
10395113.513-18.5129
104110118.955-8.95462
10570117.793-47.7933
106102119.294-17.2944
10786107.954-21.9544
108130118.30311.697
10996116.206-20.2059
110102116.462-14.4621
111100118.278-18.2778
11294114.73-20.73
11352118.843-66.8432
11498118.164-20.1636
115118119.353-1.35282
11699119.155-20.1551
11748118.478-70.4782
11850106.54-56.5396
119150114.33435.6655
120154117.16936.8305
121109117.626-8.62612
12268118.704-50.7039
123194117.28676.7136
124158118.95739.0427
125159118.70140.2989
12667116.49-49.49
127147116.55130.4489
12839119.606-80.6063
129100116.632-16.632
130111117-5.99961
131138111.95326.0466
132101117.114-16.1138
133131121.8769.12408
134101116.462-15.4621
135114115.952-1.95244
136165118.55946.4409
137114114.872-0.871999
138111119.211-8.2108
13975111.132-36.1318
14082121.737-39.7366
141121115.0455.95541
14232116.262-84.2616
143150117.82132.1788
144117121.285-4.28539
14571111.842-40.842
146165114.2250.7797
147154120.65633.3438
148126114.92811.0723
149138118.27819.7222
15014911732.0004
151145115.47329.5266
152120124.886-4.88622
153138117.0320.9698
154109117.2-8.20006
155132116.71815.2817
156172117.31454.6858
157169116.99752.0031
158114118.448-4.44768
159156118.44837.5523
160172110.16861.8317
16168121.283-53.2827
16289121.709-32.7087
163167123.60843.392
164113116.574-3.57354
165115121.369-6.36898
16678112.605-34.6051
167118114.9033.09743
16887117.793-30.7933
169173114.67758.323
1702120.149-118.149
171162118.59243.4076
17249115.724-66.7241
173122115.3546.64621
17496116.83-20.8297
175100121.425-21.4247
17682118.871-36.871
177100123.803-23.8031
178115116.604-1.60411
179141117.16923.8305
180165118.73246.2683
181165118.44846.5523
182110115.524-5.52367
183118116.3511.64936
184158108.49549.5054
185146115.21430.7855
18649114.05-65.0504
18790116.86-26.8603
188121113.4297.57066
189155115.75239.248
190104117.367-13.3672
191147111.61435.3864
192110118.787-8.78744
193108118.985-10.9852
194113119.041-6.04092
195115119.779-4.77888
19661115.808-54.8077
19760115.045-55.0446
198109119.748-10.7483
19968119.667-51.6674
200111120.091-9.09079
20177113.543-36.5435
20273118.423-45.4225
203151114.24836.7518
20489115.668-26.6684
20578115.072-37.0725
206110120.999-10.9986
207220121.46398.5366
20865122.051-57.0512
209141117.93523.0647
210117113.2853.71539
211122114.197.81024
21263113.115-50.1147
21344116.574-72.5735
21452114.538-62.5376
21562117.596-55.5956
216131113.1717.8295
217101114.588-13.588
21842116.972-74.9717
219152117.19734.8026
220107117.707-10.707
22177115.579-38.5794
222154116.31737.6826
223103117.258-14.2585
22496112.521-16.5215
225154115.81338.1869
226175117.96357.0368
22757114.05-57.0504
228112116.178-4.17805
229143116.51526.4849
23049118.387-69.3865
231110117.654-7.65398
232131114.24816.7518
233167115.46851.5321
23456115.214-59.2145
235137118.95718.0427
23686118.757-32.7569
237121118.3312.66919
238149115.89433.106
239168120.09147.9092
240140116.91623.084
24188119.038-31.0382
242168114.7353.27
24394116.83-22.8297
24451118.929-67.9295
24548116.601-68.6014
246145118.64326.3573
24766114.627-48.6266
24885119.977-34.9766
249109121.848-12.8481
25063113.168-50.1677
251102118.191-16.1915
252162115.92546.0754
253128117.82410.1761
25486115.783-29.7826
255114116.203-2.20321
256164114.81949.181
257119113.7695.23089
258126119.4956.50516
259132119.49512.5052
260142116.60125.3986
26183115.61-32.61
26294115.582-21.5821
26381107.843-26.8429
264166113.05952.941
265110118.531-8.53127
26664116.459-52.4594
26793118.584-25.5843
268104115.808-11.8077
269105114.791-9.79111
27049118.762-69.7623
27188115.836-27.8356
27295115.699-20.699
273102119.751-17.751
27499116.802-17.8019
27563117.002-54.0023
27676113.488-37.4878
277109121.845-12.8454
278117120.573-3.57258
27957118.899-61.8989
280120117.3952.6049
28173113.51-40.5102
28291116.716-25.7156
283108117.793-9.7933
284105118.985-13.9852
285117115.4151.58508
286119117.1971.80265
28731114.307-83.3066






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.01503890.03007790.984961
70.4010950.802190.598905
80.3355320.6710640.664468
90.2939280.5878560.706072
100.2093040.4186080.790696
110.2413320.4826650.758668
120.1725130.3450260.827487
130.1147960.2295910.885204
140.1231260.2462530.876874
150.09791850.1958370.902082
160.5270490.9459020.472951
170.5837050.832590.416295
180.5307660.9384670.469234
190.4718790.9437570.528121
200.4036150.807230.596385
210.345080.6901590.65492
220.2914690.5829370.708531
230.238030.476060.76197
240.446720.8934390.55328
250.468840.9376790.53116
260.4097540.8195080.590246
270.7150190.5699610.284981
280.6669880.6660240.333012
290.7203960.5592080.279604
300.6745980.6508040.325402
310.6286790.7426410.371321
320.6702380.6595230.329762
330.6273960.7452080.372604
340.5802280.8395430.419772
350.5365020.9269960.463498
360.5026960.9946080.497304
370.503470.9930590.49653
380.5294050.941190.470595
390.4861920.9723850.513808
400.4440970.8881930.555903
410.4149090.8298190.585091
420.3833350.7666690.616665
430.3657930.7315860.634207
440.3252720.6505440.674728
450.3016720.6033440.698328
460.2856950.5713910.714305
470.4169630.8339260.583037
480.429580.859160.57042
490.4139880.8279760.586012
500.4611460.9222920.538854
510.4675240.9350490.532476
520.5063830.9872340.493617
530.4789540.9579090.521046
540.6768490.6463010.323151
550.6487430.7025150.351257
560.6194660.7610670.380534
570.5863970.8272060.413603
580.5583680.8832640.441632
590.5195280.9609450.480472
600.481520.963040.51848
610.6172380.7655230.382762
620.6072970.7854060.392703
630.5931610.8136780.406839
640.5806030.8387930.419397
650.5586780.8826440.441322
660.6729730.6540540.327027
670.7089970.5820050.291003
680.758290.483420.24171
690.775730.4485410.22427
700.8607030.2785950.139297
710.8931840.2136320.106816
720.8791430.2417140.120857
730.8890550.221890.110945
740.8725840.2548330.127416
750.89840.20320.1016
760.9020960.1958080.0979039
770.8986140.2027710.101386
780.8875610.2248780.112439
790.905310.189380.0946899
800.9072150.185570.0927852
810.8938980.2122030.106102
820.8866980.2266050.113302
830.894150.21170.10585
840.8830540.2338920.116946
850.8772060.2455880.122794
860.8629660.2740690.137034
870.8642070.2715860.135793
880.8613910.2772180.138609
890.8421830.3156340.157817
900.8303670.3392660.169633
910.847040.3059210.15296
920.8703510.2592980.129649
930.8684030.2631930.131597
940.852010.295980.14799
950.866790.2664210.13321
960.8476610.3046790.152339
970.8302320.3395370.169768
980.8132430.3735130.186757
990.7992970.4014070.200703
1000.7787140.4425720.221286
1010.7542830.4914340.245717
1020.7420340.5159330.257966
1030.724360.5512790.27564
1040.7040570.5918860.295943
1050.7343440.5313120.265656
1060.7198680.5602640.280132
1070.7011440.5977120.298856
1080.6743160.6513680.325684
1090.6574450.6851110.342555
1100.6344590.7310820.365541
1110.6150270.7699450.384973
1120.5966870.8066270.403313
1130.6758410.6483170.324159
1140.6578780.6842430.342122
1150.6289260.7421470.371074
1160.6106270.7787470.389373
1170.6889550.622090.311045
1180.7179450.5641090.282055
1190.7115490.5769020.288451
1200.7064920.5870160.293508
1210.6787160.6425680.321284
1220.7014930.5970130.298507
1230.7795380.4409240.220462
1240.7785030.4429950.221497
1250.7794460.4411090.220554
1260.7979220.4041570.202078
1270.7887630.4224730.211237
1280.8663310.2673390.133669
1290.8518450.296310.148155
1300.8330930.3338130.166907
1310.821220.3575590.17878
1320.8036060.3927890.196394
1330.7828980.4342050.217102
1340.7624120.4751770.237588
1350.7361340.5277320.263866
1360.7482760.5034480.251724
1370.7220440.5559110.277956
1380.6968260.6063480.303174
1390.6924820.6150360.307518
1400.6955140.6089730.304486
1410.6665840.6668320.333416
1420.7703130.4593740.229687
1430.7639780.4720440.236022
1440.7379680.5240630.262032
1450.7400760.5198480.259924
1460.7601540.4796910.239846
1470.7577270.4845450.242273
1480.7351410.5297170.264859
1490.7156590.5686810.284341
1500.709460.581080.29054
1510.6975740.6048520.302426
1520.6694740.6610520.330526
1530.6492740.7014520.350726
1540.6192420.7615170.380758
1550.5933040.8133920.406696
1560.6298730.7402540.370127
1570.6647140.6705730.335286
1580.6347610.7304780.365239
1590.6386310.7227370.361369
1600.6901340.6197320.309866
1610.7129690.5740630.287031
1620.7024930.5950150.297507
1630.7193050.561390.280695
1640.6922670.6154660.307733
1650.6632880.6734240.336712
1660.6553070.6893870.344693
1670.6249820.7500360.375018
1680.6106710.7786570.389329
1690.6596120.6807750.340388
1700.860940.278120.13906
1710.8702190.2595620.129781
1720.8988650.202270.101135
1730.8851540.2296920.114846
1740.8715740.2568510.128426
1750.8568490.2863010.143151
1760.8516730.2966540.148327
1770.8368610.3262770.163139
1780.8151310.3697390.184869
1790.8056790.3886420.194321
1800.8239280.3521450.176072
1810.8430650.313870.156935
1820.8223270.3553460.177673
1830.7997570.4004870.200243
1840.8254570.3490850.174543
1850.8255230.3489530.174477
1860.8551920.2896160.144808
1870.8411060.3177880.158894
1880.8226160.3547670.177384
1890.8344460.3311080.165554
1900.8131540.3736930.186846
1910.8232990.3534010.176701
1920.7998610.4002780.200139
1930.774950.45010.22505
1940.7480060.5039870.251994
1950.7191830.5616340.280817
1960.7355530.5288930.264447
1970.7515830.4968350.248417
1980.7231490.5537010.276851
1990.7366180.5267650.263382
2000.7064690.5870630.293531
2010.6927540.6144920.307246
2020.6961340.6077330.303866
2030.7118350.5763310.288165
2040.6880990.6238020.311901
2050.6745180.6509640.325482
2060.6411410.7177190.358859
2070.8459820.3080360.154018
2080.8542670.2914660.145733
2090.8475970.3048060.152403
2100.8270110.3459780.172989
2110.8057150.3885690.194285
2120.8108040.3783930.189196
2130.857380.2852390.14262
2140.8745860.2508290.125414
2150.8859630.2280740.114037
2160.8751290.2497430.124871
2170.8541860.2916280.145814
2180.8978470.2043060.102153
2190.9023550.195290.0976448
2200.883870.2322590.11613
2210.877750.24450.12225
2220.8864390.2271230.113561
2230.8658440.2683130.134156
2240.843150.3137010.15685
2250.8603360.2793270.139664
2260.9037210.1925590.0962793
2270.9151450.169710.0848548
2280.8978070.2043860.102193
2290.8949630.2100740.105037
2300.9250130.1499750.0749875
2310.9086360.1827290.0913644
2320.8985620.2028770.101438
2330.9300120.1399760.0699879
2340.9392810.1214370.0607187
2350.9343530.1312940.0656472
2360.9246710.1506590.0753294
2370.9089890.1820220.0910109
2380.9180050.1639890.0819947
2390.9459970.1080060.0540031
2400.9475630.1048750.0524374
2410.937720.1245610.0622804
2420.9666120.06677610.033388
2430.9569010.08619870.0430993
2440.9692980.0614040.030702
2450.9801480.03970340.0198517
2460.9815770.03684540.0184227
2470.9818060.03638890.0181944
2480.977860.04427960.0221398
2490.9696930.06061350.0303067
2500.969330.06134050.0306703
2510.9585290.08294150.0414707
2520.9781190.04376180.0218809
2530.9751350.049730.024865
2540.9669250.06615050.0330752
2550.9555130.0889730.0444865
2560.9842780.03144490.0157225
2570.9819880.03602310.0180115
2580.9783660.04326830.0216342
2590.977780.04444070.0222204
2600.9831040.03379240.0168962
2610.9761230.04775310.0238765
2620.9648930.07021370.0351069
2630.9503940.09921230.0496061
2640.9944030.01119370.00559686
2650.9915630.01687340.0084367
2660.9910910.01781710.00890855
2670.9858660.02826890.0141344
2680.9781780.04364310.0218216
2690.9751440.04971130.0248556
2700.9854290.02914190.0145709
2710.9747360.05052780.0252639
2720.9590940.08181230.0409062
2730.9328220.1343550.0671776
2740.8967010.2065990.103299
2750.8913870.2172250.108613
2760.8330070.3339860.166993
2770.751070.4978590.24893
2780.6425320.7149360.357468
2790.8042970.3914050.195703
2800.7149430.5701130.285057
2810.6373260.7253480.362674

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
6 & 0.0150389 & 0.0300779 & 0.984961 \tabularnewline
7 & 0.401095 & 0.80219 & 0.598905 \tabularnewline
8 & 0.335532 & 0.671064 & 0.664468 \tabularnewline
9 & 0.293928 & 0.587856 & 0.706072 \tabularnewline
10 & 0.209304 & 0.418608 & 0.790696 \tabularnewline
11 & 0.241332 & 0.482665 & 0.758668 \tabularnewline
12 & 0.172513 & 0.345026 & 0.827487 \tabularnewline
13 & 0.114796 & 0.229591 & 0.885204 \tabularnewline
14 & 0.123126 & 0.246253 & 0.876874 \tabularnewline
15 & 0.0979185 & 0.195837 & 0.902082 \tabularnewline
16 & 0.527049 & 0.945902 & 0.472951 \tabularnewline
17 & 0.583705 & 0.83259 & 0.416295 \tabularnewline
18 & 0.530766 & 0.938467 & 0.469234 \tabularnewline
19 & 0.471879 & 0.943757 & 0.528121 \tabularnewline
20 & 0.403615 & 0.80723 & 0.596385 \tabularnewline
21 & 0.34508 & 0.690159 & 0.65492 \tabularnewline
22 & 0.291469 & 0.582937 & 0.708531 \tabularnewline
23 & 0.23803 & 0.47606 & 0.76197 \tabularnewline
24 & 0.44672 & 0.893439 & 0.55328 \tabularnewline
25 & 0.46884 & 0.937679 & 0.53116 \tabularnewline
26 & 0.409754 & 0.819508 & 0.590246 \tabularnewline
27 & 0.715019 & 0.569961 & 0.284981 \tabularnewline
28 & 0.666988 & 0.666024 & 0.333012 \tabularnewline
29 & 0.720396 & 0.559208 & 0.279604 \tabularnewline
30 & 0.674598 & 0.650804 & 0.325402 \tabularnewline
31 & 0.628679 & 0.742641 & 0.371321 \tabularnewline
32 & 0.670238 & 0.659523 & 0.329762 \tabularnewline
33 & 0.627396 & 0.745208 & 0.372604 \tabularnewline
34 & 0.580228 & 0.839543 & 0.419772 \tabularnewline
35 & 0.536502 & 0.926996 & 0.463498 \tabularnewline
36 & 0.502696 & 0.994608 & 0.497304 \tabularnewline
37 & 0.50347 & 0.993059 & 0.49653 \tabularnewline
38 & 0.529405 & 0.94119 & 0.470595 \tabularnewline
39 & 0.486192 & 0.972385 & 0.513808 \tabularnewline
40 & 0.444097 & 0.888193 & 0.555903 \tabularnewline
41 & 0.414909 & 0.829819 & 0.585091 \tabularnewline
42 & 0.383335 & 0.766669 & 0.616665 \tabularnewline
43 & 0.365793 & 0.731586 & 0.634207 \tabularnewline
44 & 0.325272 & 0.650544 & 0.674728 \tabularnewline
45 & 0.301672 & 0.603344 & 0.698328 \tabularnewline
46 & 0.285695 & 0.571391 & 0.714305 \tabularnewline
47 & 0.416963 & 0.833926 & 0.583037 \tabularnewline
48 & 0.42958 & 0.85916 & 0.57042 \tabularnewline
49 & 0.413988 & 0.827976 & 0.586012 \tabularnewline
50 & 0.461146 & 0.922292 & 0.538854 \tabularnewline
51 & 0.467524 & 0.935049 & 0.532476 \tabularnewline
52 & 0.506383 & 0.987234 & 0.493617 \tabularnewline
53 & 0.478954 & 0.957909 & 0.521046 \tabularnewline
54 & 0.676849 & 0.646301 & 0.323151 \tabularnewline
55 & 0.648743 & 0.702515 & 0.351257 \tabularnewline
56 & 0.619466 & 0.761067 & 0.380534 \tabularnewline
57 & 0.586397 & 0.827206 & 0.413603 \tabularnewline
58 & 0.558368 & 0.883264 & 0.441632 \tabularnewline
59 & 0.519528 & 0.960945 & 0.480472 \tabularnewline
60 & 0.48152 & 0.96304 & 0.51848 \tabularnewline
61 & 0.617238 & 0.765523 & 0.382762 \tabularnewline
62 & 0.607297 & 0.785406 & 0.392703 \tabularnewline
63 & 0.593161 & 0.813678 & 0.406839 \tabularnewline
64 & 0.580603 & 0.838793 & 0.419397 \tabularnewline
65 & 0.558678 & 0.882644 & 0.441322 \tabularnewline
66 & 0.672973 & 0.654054 & 0.327027 \tabularnewline
67 & 0.708997 & 0.582005 & 0.291003 \tabularnewline
68 & 0.75829 & 0.48342 & 0.24171 \tabularnewline
69 & 0.77573 & 0.448541 & 0.22427 \tabularnewline
70 & 0.860703 & 0.278595 & 0.139297 \tabularnewline
71 & 0.893184 & 0.213632 & 0.106816 \tabularnewline
72 & 0.879143 & 0.241714 & 0.120857 \tabularnewline
73 & 0.889055 & 0.22189 & 0.110945 \tabularnewline
74 & 0.872584 & 0.254833 & 0.127416 \tabularnewline
75 & 0.8984 & 0.2032 & 0.1016 \tabularnewline
76 & 0.902096 & 0.195808 & 0.0979039 \tabularnewline
77 & 0.898614 & 0.202771 & 0.101386 \tabularnewline
78 & 0.887561 & 0.224878 & 0.112439 \tabularnewline
79 & 0.90531 & 0.18938 & 0.0946899 \tabularnewline
80 & 0.907215 & 0.18557 & 0.0927852 \tabularnewline
81 & 0.893898 & 0.212203 & 0.106102 \tabularnewline
82 & 0.886698 & 0.226605 & 0.113302 \tabularnewline
83 & 0.89415 & 0.2117 & 0.10585 \tabularnewline
84 & 0.883054 & 0.233892 & 0.116946 \tabularnewline
85 & 0.877206 & 0.245588 & 0.122794 \tabularnewline
86 & 0.862966 & 0.274069 & 0.137034 \tabularnewline
87 & 0.864207 & 0.271586 & 0.135793 \tabularnewline
88 & 0.861391 & 0.277218 & 0.138609 \tabularnewline
89 & 0.842183 & 0.315634 & 0.157817 \tabularnewline
90 & 0.830367 & 0.339266 & 0.169633 \tabularnewline
91 & 0.84704 & 0.305921 & 0.15296 \tabularnewline
92 & 0.870351 & 0.259298 & 0.129649 \tabularnewline
93 & 0.868403 & 0.263193 & 0.131597 \tabularnewline
94 & 0.85201 & 0.29598 & 0.14799 \tabularnewline
95 & 0.86679 & 0.266421 & 0.13321 \tabularnewline
96 & 0.847661 & 0.304679 & 0.152339 \tabularnewline
97 & 0.830232 & 0.339537 & 0.169768 \tabularnewline
98 & 0.813243 & 0.373513 & 0.186757 \tabularnewline
99 & 0.799297 & 0.401407 & 0.200703 \tabularnewline
100 & 0.778714 & 0.442572 & 0.221286 \tabularnewline
101 & 0.754283 & 0.491434 & 0.245717 \tabularnewline
102 & 0.742034 & 0.515933 & 0.257966 \tabularnewline
103 & 0.72436 & 0.551279 & 0.27564 \tabularnewline
104 & 0.704057 & 0.591886 & 0.295943 \tabularnewline
105 & 0.734344 & 0.531312 & 0.265656 \tabularnewline
106 & 0.719868 & 0.560264 & 0.280132 \tabularnewline
107 & 0.701144 & 0.597712 & 0.298856 \tabularnewline
108 & 0.674316 & 0.651368 & 0.325684 \tabularnewline
109 & 0.657445 & 0.685111 & 0.342555 \tabularnewline
110 & 0.634459 & 0.731082 & 0.365541 \tabularnewline
111 & 0.615027 & 0.769945 & 0.384973 \tabularnewline
112 & 0.596687 & 0.806627 & 0.403313 \tabularnewline
113 & 0.675841 & 0.648317 & 0.324159 \tabularnewline
114 & 0.657878 & 0.684243 & 0.342122 \tabularnewline
115 & 0.628926 & 0.742147 & 0.371074 \tabularnewline
116 & 0.610627 & 0.778747 & 0.389373 \tabularnewline
117 & 0.688955 & 0.62209 & 0.311045 \tabularnewline
118 & 0.717945 & 0.564109 & 0.282055 \tabularnewline
119 & 0.711549 & 0.576902 & 0.288451 \tabularnewline
120 & 0.706492 & 0.587016 & 0.293508 \tabularnewline
121 & 0.678716 & 0.642568 & 0.321284 \tabularnewline
122 & 0.701493 & 0.597013 & 0.298507 \tabularnewline
123 & 0.779538 & 0.440924 & 0.220462 \tabularnewline
124 & 0.778503 & 0.442995 & 0.221497 \tabularnewline
125 & 0.779446 & 0.441109 & 0.220554 \tabularnewline
126 & 0.797922 & 0.404157 & 0.202078 \tabularnewline
127 & 0.788763 & 0.422473 & 0.211237 \tabularnewline
128 & 0.866331 & 0.267339 & 0.133669 \tabularnewline
129 & 0.851845 & 0.29631 & 0.148155 \tabularnewline
130 & 0.833093 & 0.333813 & 0.166907 \tabularnewline
131 & 0.82122 & 0.357559 & 0.17878 \tabularnewline
132 & 0.803606 & 0.392789 & 0.196394 \tabularnewline
133 & 0.782898 & 0.434205 & 0.217102 \tabularnewline
134 & 0.762412 & 0.475177 & 0.237588 \tabularnewline
135 & 0.736134 & 0.527732 & 0.263866 \tabularnewline
136 & 0.748276 & 0.503448 & 0.251724 \tabularnewline
137 & 0.722044 & 0.555911 & 0.277956 \tabularnewline
138 & 0.696826 & 0.606348 & 0.303174 \tabularnewline
139 & 0.692482 & 0.615036 & 0.307518 \tabularnewline
140 & 0.695514 & 0.608973 & 0.304486 \tabularnewline
141 & 0.666584 & 0.666832 & 0.333416 \tabularnewline
142 & 0.770313 & 0.459374 & 0.229687 \tabularnewline
143 & 0.763978 & 0.472044 & 0.236022 \tabularnewline
144 & 0.737968 & 0.524063 & 0.262032 \tabularnewline
145 & 0.740076 & 0.519848 & 0.259924 \tabularnewline
146 & 0.760154 & 0.479691 & 0.239846 \tabularnewline
147 & 0.757727 & 0.484545 & 0.242273 \tabularnewline
148 & 0.735141 & 0.529717 & 0.264859 \tabularnewline
149 & 0.715659 & 0.568681 & 0.284341 \tabularnewline
150 & 0.70946 & 0.58108 & 0.29054 \tabularnewline
151 & 0.697574 & 0.604852 & 0.302426 \tabularnewline
152 & 0.669474 & 0.661052 & 0.330526 \tabularnewline
153 & 0.649274 & 0.701452 & 0.350726 \tabularnewline
154 & 0.619242 & 0.761517 & 0.380758 \tabularnewline
155 & 0.593304 & 0.813392 & 0.406696 \tabularnewline
156 & 0.629873 & 0.740254 & 0.370127 \tabularnewline
157 & 0.664714 & 0.670573 & 0.335286 \tabularnewline
158 & 0.634761 & 0.730478 & 0.365239 \tabularnewline
159 & 0.638631 & 0.722737 & 0.361369 \tabularnewline
160 & 0.690134 & 0.619732 & 0.309866 \tabularnewline
161 & 0.712969 & 0.574063 & 0.287031 \tabularnewline
162 & 0.702493 & 0.595015 & 0.297507 \tabularnewline
163 & 0.719305 & 0.56139 & 0.280695 \tabularnewline
164 & 0.692267 & 0.615466 & 0.307733 \tabularnewline
165 & 0.663288 & 0.673424 & 0.336712 \tabularnewline
166 & 0.655307 & 0.689387 & 0.344693 \tabularnewline
167 & 0.624982 & 0.750036 & 0.375018 \tabularnewline
168 & 0.610671 & 0.778657 & 0.389329 \tabularnewline
169 & 0.659612 & 0.680775 & 0.340388 \tabularnewline
170 & 0.86094 & 0.27812 & 0.13906 \tabularnewline
171 & 0.870219 & 0.259562 & 0.129781 \tabularnewline
172 & 0.898865 & 0.20227 & 0.101135 \tabularnewline
173 & 0.885154 & 0.229692 & 0.114846 \tabularnewline
174 & 0.871574 & 0.256851 & 0.128426 \tabularnewline
175 & 0.856849 & 0.286301 & 0.143151 \tabularnewline
176 & 0.851673 & 0.296654 & 0.148327 \tabularnewline
177 & 0.836861 & 0.326277 & 0.163139 \tabularnewline
178 & 0.815131 & 0.369739 & 0.184869 \tabularnewline
179 & 0.805679 & 0.388642 & 0.194321 \tabularnewline
180 & 0.823928 & 0.352145 & 0.176072 \tabularnewline
181 & 0.843065 & 0.31387 & 0.156935 \tabularnewline
182 & 0.822327 & 0.355346 & 0.177673 \tabularnewline
183 & 0.799757 & 0.400487 & 0.200243 \tabularnewline
184 & 0.825457 & 0.349085 & 0.174543 \tabularnewline
185 & 0.825523 & 0.348953 & 0.174477 \tabularnewline
186 & 0.855192 & 0.289616 & 0.144808 \tabularnewline
187 & 0.841106 & 0.317788 & 0.158894 \tabularnewline
188 & 0.822616 & 0.354767 & 0.177384 \tabularnewline
189 & 0.834446 & 0.331108 & 0.165554 \tabularnewline
190 & 0.813154 & 0.373693 & 0.186846 \tabularnewline
191 & 0.823299 & 0.353401 & 0.176701 \tabularnewline
192 & 0.799861 & 0.400278 & 0.200139 \tabularnewline
193 & 0.77495 & 0.4501 & 0.22505 \tabularnewline
194 & 0.748006 & 0.503987 & 0.251994 \tabularnewline
195 & 0.719183 & 0.561634 & 0.280817 \tabularnewline
196 & 0.735553 & 0.528893 & 0.264447 \tabularnewline
197 & 0.751583 & 0.496835 & 0.248417 \tabularnewline
198 & 0.723149 & 0.553701 & 0.276851 \tabularnewline
199 & 0.736618 & 0.526765 & 0.263382 \tabularnewline
200 & 0.706469 & 0.587063 & 0.293531 \tabularnewline
201 & 0.692754 & 0.614492 & 0.307246 \tabularnewline
202 & 0.696134 & 0.607733 & 0.303866 \tabularnewline
203 & 0.711835 & 0.576331 & 0.288165 \tabularnewline
204 & 0.688099 & 0.623802 & 0.311901 \tabularnewline
205 & 0.674518 & 0.650964 & 0.325482 \tabularnewline
206 & 0.641141 & 0.717719 & 0.358859 \tabularnewline
207 & 0.845982 & 0.308036 & 0.154018 \tabularnewline
208 & 0.854267 & 0.291466 & 0.145733 \tabularnewline
209 & 0.847597 & 0.304806 & 0.152403 \tabularnewline
210 & 0.827011 & 0.345978 & 0.172989 \tabularnewline
211 & 0.805715 & 0.388569 & 0.194285 \tabularnewline
212 & 0.810804 & 0.378393 & 0.189196 \tabularnewline
213 & 0.85738 & 0.285239 & 0.14262 \tabularnewline
214 & 0.874586 & 0.250829 & 0.125414 \tabularnewline
215 & 0.885963 & 0.228074 & 0.114037 \tabularnewline
216 & 0.875129 & 0.249743 & 0.124871 \tabularnewline
217 & 0.854186 & 0.291628 & 0.145814 \tabularnewline
218 & 0.897847 & 0.204306 & 0.102153 \tabularnewline
219 & 0.902355 & 0.19529 & 0.0976448 \tabularnewline
220 & 0.88387 & 0.232259 & 0.11613 \tabularnewline
221 & 0.87775 & 0.2445 & 0.12225 \tabularnewline
222 & 0.886439 & 0.227123 & 0.113561 \tabularnewline
223 & 0.865844 & 0.268313 & 0.134156 \tabularnewline
224 & 0.84315 & 0.313701 & 0.15685 \tabularnewline
225 & 0.860336 & 0.279327 & 0.139664 \tabularnewline
226 & 0.903721 & 0.192559 & 0.0962793 \tabularnewline
227 & 0.915145 & 0.16971 & 0.0848548 \tabularnewline
228 & 0.897807 & 0.204386 & 0.102193 \tabularnewline
229 & 0.894963 & 0.210074 & 0.105037 \tabularnewline
230 & 0.925013 & 0.149975 & 0.0749875 \tabularnewline
231 & 0.908636 & 0.182729 & 0.0913644 \tabularnewline
232 & 0.898562 & 0.202877 & 0.101438 \tabularnewline
233 & 0.930012 & 0.139976 & 0.0699879 \tabularnewline
234 & 0.939281 & 0.121437 & 0.0607187 \tabularnewline
235 & 0.934353 & 0.131294 & 0.0656472 \tabularnewline
236 & 0.924671 & 0.150659 & 0.0753294 \tabularnewline
237 & 0.908989 & 0.182022 & 0.0910109 \tabularnewline
238 & 0.918005 & 0.163989 & 0.0819947 \tabularnewline
239 & 0.945997 & 0.108006 & 0.0540031 \tabularnewline
240 & 0.947563 & 0.104875 & 0.0524374 \tabularnewline
241 & 0.93772 & 0.124561 & 0.0622804 \tabularnewline
242 & 0.966612 & 0.0667761 & 0.033388 \tabularnewline
243 & 0.956901 & 0.0861987 & 0.0430993 \tabularnewline
244 & 0.969298 & 0.061404 & 0.030702 \tabularnewline
245 & 0.980148 & 0.0397034 & 0.0198517 \tabularnewline
246 & 0.981577 & 0.0368454 & 0.0184227 \tabularnewline
247 & 0.981806 & 0.0363889 & 0.0181944 \tabularnewline
248 & 0.97786 & 0.0442796 & 0.0221398 \tabularnewline
249 & 0.969693 & 0.0606135 & 0.0303067 \tabularnewline
250 & 0.96933 & 0.0613405 & 0.0306703 \tabularnewline
251 & 0.958529 & 0.0829415 & 0.0414707 \tabularnewline
252 & 0.978119 & 0.0437618 & 0.0218809 \tabularnewline
253 & 0.975135 & 0.04973 & 0.024865 \tabularnewline
254 & 0.966925 & 0.0661505 & 0.0330752 \tabularnewline
255 & 0.955513 & 0.088973 & 0.0444865 \tabularnewline
256 & 0.984278 & 0.0314449 & 0.0157225 \tabularnewline
257 & 0.981988 & 0.0360231 & 0.0180115 \tabularnewline
258 & 0.978366 & 0.0432683 & 0.0216342 \tabularnewline
259 & 0.97778 & 0.0444407 & 0.0222204 \tabularnewline
260 & 0.983104 & 0.0337924 & 0.0168962 \tabularnewline
261 & 0.976123 & 0.0477531 & 0.0238765 \tabularnewline
262 & 0.964893 & 0.0702137 & 0.0351069 \tabularnewline
263 & 0.950394 & 0.0992123 & 0.0496061 \tabularnewline
264 & 0.994403 & 0.0111937 & 0.00559686 \tabularnewline
265 & 0.991563 & 0.0168734 & 0.0084367 \tabularnewline
266 & 0.991091 & 0.0178171 & 0.00890855 \tabularnewline
267 & 0.985866 & 0.0282689 & 0.0141344 \tabularnewline
268 & 0.978178 & 0.0436431 & 0.0218216 \tabularnewline
269 & 0.975144 & 0.0497113 & 0.0248556 \tabularnewline
270 & 0.985429 & 0.0291419 & 0.0145709 \tabularnewline
271 & 0.974736 & 0.0505278 & 0.0252639 \tabularnewline
272 & 0.959094 & 0.0818123 & 0.0409062 \tabularnewline
273 & 0.932822 & 0.134355 & 0.0671776 \tabularnewline
274 & 0.896701 & 0.206599 & 0.103299 \tabularnewline
275 & 0.891387 & 0.217225 & 0.108613 \tabularnewline
276 & 0.833007 & 0.333986 & 0.166993 \tabularnewline
277 & 0.75107 & 0.497859 & 0.24893 \tabularnewline
278 & 0.642532 & 0.714936 & 0.357468 \tabularnewline
279 & 0.804297 & 0.391405 & 0.195703 \tabularnewline
280 & 0.714943 & 0.570113 & 0.285057 \tabularnewline
281 & 0.637326 & 0.725348 & 0.362674 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267341&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]6[/C][C]0.0150389[/C][C]0.0300779[/C][C]0.984961[/C][/ROW]
[ROW][C]7[/C][C]0.401095[/C][C]0.80219[/C][C]0.598905[/C][/ROW]
[ROW][C]8[/C][C]0.335532[/C][C]0.671064[/C][C]0.664468[/C][/ROW]
[ROW][C]9[/C][C]0.293928[/C][C]0.587856[/C][C]0.706072[/C][/ROW]
[ROW][C]10[/C][C]0.209304[/C][C]0.418608[/C][C]0.790696[/C][/ROW]
[ROW][C]11[/C][C]0.241332[/C][C]0.482665[/C][C]0.758668[/C][/ROW]
[ROW][C]12[/C][C]0.172513[/C][C]0.345026[/C][C]0.827487[/C][/ROW]
[ROW][C]13[/C][C]0.114796[/C][C]0.229591[/C][C]0.885204[/C][/ROW]
[ROW][C]14[/C][C]0.123126[/C][C]0.246253[/C][C]0.876874[/C][/ROW]
[ROW][C]15[/C][C]0.0979185[/C][C]0.195837[/C][C]0.902082[/C][/ROW]
[ROW][C]16[/C][C]0.527049[/C][C]0.945902[/C][C]0.472951[/C][/ROW]
[ROW][C]17[/C][C]0.583705[/C][C]0.83259[/C][C]0.416295[/C][/ROW]
[ROW][C]18[/C][C]0.530766[/C][C]0.938467[/C][C]0.469234[/C][/ROW]
[ROW][C]19[/C][C]0.471879[/C][C]0.943757[/C][C]0.528121[/C][/ROW]
[ROW][C]20[/C][C]0.403615[/C][C]0.80723[/C][C]0.596385[/C][/ROW]
[ROW][C]21[/C][C]0.34508[/C][C]0.690159[/C][C]0.65492[/C][/ROW]
[ROW][C]22[/C][C]0.291469[/C][C]0.582937[/C][C]0.708531[/C][/ROW]
[ROW][C]23[/C][C]0.23803[/C][C]0.47606[/C][C]0.76197[/C][/ROW]
[ROW][C]24[/C][C]0.44672[/C][C]0.893439[/C][C]0.55328[/C][/ROW]
[ROW][C]25[/C][C]0.46884[/C][C]0.937679[/C][C]0.53116[/C][/ROW]
[ROW][C]26[/C][C]0.409754[/C][C]0.819508[/C][C]0.590246[/C][/ROW]
[ROW][C]27[/C][C]0.715019[/C][C]0.569961[/C][C]0.284981[/C][/ROW]
[ROW][C]28[/C][C]0.666988[/C][C]0.666024[/C][C]0.333012[/C][/ROW]
[ROW][C]29[/C][C]0.720396[/C][C]0.559208[/C][C]0.279604[/C][/ROW]
[ROW][C]30[/C][C]0.674598[/C][C]0.650804[/C][C]0.325402[/C][/ROW]
[ROW][C]31[/C][C]0.628679[/C][C]0.742641[/C][C]0.371321[/C][/ROW]
[ROW][C]32[/C][C]0.670238[/C][C]0.659523[/C][C]0.329762[/C][/ROW]
[ROW][C]33[/C][C]0.627396[/C][C]0.745208[/C][C]0.372604[/C][/ROW]
[ROW][C]34[/C][C]0.580228[/C][C]0.839543[/C][C]0.419772[/C][/ROW]
[ROW][C]35[/C][C]0.536502[/C][C]0.926996[/C][C]0.463498[/C][/ROW]
[ROW][C]36[/C][C]0.502696[/C][C]0.994608[/C][C]0.497304[/C][/ROW]
[ROW][C]37[/C][C]0.50347[/C][C]0.993059[/C][C]0.49653[/C][/ROW]
[ROW][C]38[/C][C]0.529405[/C][C]0.94119[/C][C]0.470595[/C][/ROW]
[ROW][C]39[/C][C]0.486192[/C][C]0.972385[/C][C]0.513808[/C][/ROW]
[ROW][C]40[/C][C]0.444097[/C][C]0.888193[/C][C]0.555903[/C][/ROW]
[ROW][C]41[/C][C]0.414909[/C][C]0.829819[/C][C]0.585091[/C][/ROW]
[ROW][C]42[/C][C]0.383335[/C][C]0.766669[/C][C]0.616665[/C][/ROW]
[ROW][C]43[/C][C]0.365793[/C][C]0.731586[/C][C]0.634207[/C][/ROW]
[ROW][C]44[/C][C]0.325272[/C][C]0.650544[/C][C]0.674728[/C][/ROW]
[ROW][C]45[/C][C]0.301672[/C][C]0.603344[/C][C]0.698328[/C][/ROW]
[ROW][C]46[/C][C]0.285695[/C][C]0.571391[/C][C]0.714305[/C][/ROW]
[ROW][C]47[/C][C]0.416963[/C][C]0.833926[/C][C]0.583037[/C][/ROW]
[ROW][C]48[/C][C]0.42958[/C][C]0.85916[/C][C]0.57042[/C][/ROW]
[ROW][C]49[/C][C]0.413988[/C][C]0.827976[/C][C]0.586012[/C][/ROW]
[ROW][C]50[/C][C]0.461146[/C][C]0.922292[/C][C]0.538854[/C][/ROW]
[ROW][C]51[/C][C]0.467524[/C][C]0.935049[/C][C]0.532476[/C][/ROW]
[ROW][C]52[/C][C]0.506383[/C][C]0.987234[/C][C]0.493617[/C][/ROW]
[ROW][C]53[/C][C]0.478954[/C][C]0.957909[/C][C]0.521046[/C][/ROW]
[ROW][C]54[/C][C]0.676849[/C][C]0.646301[/C][C]0.323151[/C][/ROW]
[ROW][C]55[/C][C]0.648743[/C][C]0.702515[/C][C]0.351257[/C][/ROW]
[ROW][C]56[/C][C]0.619466[/C][C]0.761067[/C][C]0.380534[/C][/ROW]
[ROW][C]57[/C][C]0.586397[/C][C]0.827206[/C][C]0.413603[/C][/ROW]
[ROW][C]58[/C][C]0.558368[/C][C]0.883264[/C][C]0.441632[/C][/ROW]
[ROW][C]59[/C][C]0.519528[/C][C]0.960945[/C][C]0.480472[/C][/ROW]
[ROW][C]60[/C][C]0.48152[/C][C]0.96304[/C][C]0.51848[/C][/ROW]
[ROW][C]61[/C][C]0.617238[/C][C]0.765523[/C][C]0.382762[/C][/ROW]
[ROW][C]62[/C][C]0.607297[/C][C]0.785406[/C][C]0.392703[/C][/ROW]
[ROW][C]63[/C][C]0.593161[/C][C]0.813678[/C][C]0.406839[/C][/ROW]
[ROW][C]64[/C][C]0.580603[/C][C]0.838793[/C][C]0.419397[/C][/ROW]
[ROW][C]65[/C][C]0.558678[/C][C]0.882644[/C][C]0.441322[/C][/ROW]
[ROW][C]66[/C][C]0.672973[/C][C]0.654054[/C][C]0.327027[/C][/ROW]
[ROW][C]67[/C][C]0.708997[/C][C]0.582005[/C][C]0.291003[/C][/ROW]
[ROW][C]68[/C][C]0.75829[/C][C]0.48342[/C][C]0.24171[/C][/ROW]
[ROW][C]69[/C][C]0.77573[/C][C]0.448541[/C][C]0.22427[/C][/ROW]
[ROW][C]70[/C][C]0.860703[/C][C]0.278595[/C][C]0.139297[/C][/ROW]
[ROW][C]71[/C][C]0.893184[/C][C]0.213632[/C][C]0.106816[/C][/ROW]
[ROW][C]72[/C][C]0.879143[/C][C]0.241714[/C][C]0.120857[/C][/ROW]
[ROW][C]73[/C][C]0.889055[/C][C]0.22189[/C][C]0.110945[/C][/ROW]
[ROW][C]74[/C][C]0.872584[/C][C]0.254833[/C][C]0.127416[/C][/ROW]
[ROW][C]75[/C][C]0.8984[/C][C]0.2032[/C][C]0.1016[/C][/ROW]
[ROW][C]76[/C][C]0.902096[/C][C]0.195808[/C][C]0.0979039[/C][/ROW]
[ROW][C]77[/C][C]0.898614[/C][C]0.202771[/C][C]0.101386[/C][/ROW]
[ROW][C]78[/C][C]0.887561[/C][C]0.224878[/C][C]0.112439[/C][/ROW]
[ROW][C]79[/C][C]0.90531[/C][C]0.18938[/C][C]0.0946899[/C][/ROW]
[ROW][C]80[/C][C]0.907215[/C][C]0.18557[/C][C]0.0927852[/C][/ROW]
[ROW][C]81[/C][C]0.893898[/C][C]0.212203[/C][C]0.106102[/C][/ROW]
[ROW][C]82[/C][C]0.886698[/C][C]0.226605[/C][C]0.113302[/C][/ROW]
[ROW][C]83[/C][C]0.89415[/C][C]0.2117[/C][C]0.10585[/C][/ROW]
[ROW][C]84[/C][C]0.883054[/C][C]0.233892[/C][C]0.116946[/C][/ROW]
[ROW][C]85[/C][C]0.877206[/C][C]0.245588[/C][C]0.122794[/C][/ROW]
[ROW][C]86[/C][C]0.862966[/C][C]0.274069[/C][C]0.137034[/C][/ROW]
[ROW][C]87[/C][C]0.864207[/C][C]0.271586[/C][C]0.135793[/C][/ROW]
[ROW][C]88[/C][C]0.861391[/C][C]0.277218[/C][C]0.138609[/C][/ROW]
[ROW][C]89[/C][C]0.842183[/C][C]0.315634[/C][C]0.157817[/C][/ROW]
[ROW][C]90[/C][C]0.830367[/C][C]0.339266[/C][C]0.169633[/C][/ROW]
[ROW][C]91[/C][C]0.84704[/C][C]0.305921[/C][C]0.15296[/C][/ROW]
[ROW][C]92[/C][C]0.870351[/C][C]0.259298[/C][C]0.129649[/C][/ROW]
[ROW][C]93[/C][C]0.868403[/C][C]0.263193[/C][C]0.131597[/C][/ROW]
[ROW][C]94[/C][C]0.85201[/C][C]0.29598[/C][C]0.14799[/C][/ROW]
[ROW][C]95[/C][C]0.86679[/C][C]0.266421[/C][C]0.13321[/C][/ROW]
[ROW][C]96[/C][C]0.847661[/C][C]0.304679[/C][C]0.152339[/C][/ROW]
[ROW][C]97[/C][C]0.830232[/C][C]0.339537[/C][C]0.169768[/C][/ROW]
[ROW][C]98[/C][C]0.813243[/C][C]0.373513[/C][C]0.186757[/C][/ROW]
[ROW][C]99[/C][C]0.799297[/C][C]0.401407[/C][C]0.200703[/C][/ROW]
[ROW][C]100[/C][C]0.778714[/C][C]0.442572[/C][C]0.221286[/C][/ROW]
[ROW][C]101[/C][C]0.754283[/C][C]0.491434[/C][C]0.245717[/C][/ROW]
[ROW][C]102[/C][C]0.742034[/C][C]0.515933[/C][C]0.257966[/C][/ROW]
[ROW][C]103[/C][C]0.72436[/C][C]0.551279[/C][C]0.27564[/C][/ROW]
[ROW][C]104[/C][C]0.704057[/C][C]0.591886[/C][C]0.295943[/C][/ROW]
[ROW][C]105[/C][C]0.734344[/C][C]0.531312[/C][C]0.265656[/C][/ROW]
[ROW][C]106[/C][C]0.719868[/C][C]0.560264[/C][C]0.280132[/C][/ROW]
[ROW][C]107[/C][C]0.701144[/C][C]0.597712[/C][C]0.298856[/C][/ROW]
[ROW][C]108[/C][C]0.674316[/C][C]0.651368[/C][C]0.325684[/C][/ROW]
[ROW][C]109[/C][C]0.657445[/C][C]0.685111[/C][C]0.342555[/C][/ROW]
[ROW][C]110[/C][C]0.634459[/C][C]0.731082[/C][C]0.365541[/C][/ROW]
[ROW][C]111[/C][C]0.615027[/C][C]0.769945[/C][C]0.384973[/C][/ROW]
[ROW][C]112[/C][C]0.596687[/C][C]0.806627[/C][C]0.403313[/C][/ROW]
[ROW][C]113[/C][C]0.675841[/C][C]0.648317[/C][C]0.324159[/C][/ROW]
[ROW][C]114[/C][C]0.657878[/C][C]0.684243[/C][C]0.342122[/C][/ROW]
[ROW][C]115[/C][C]0.628926[/C][C]0.742147[/C][C]0.371074[/C][/ROW]
[ROW][C]116[/C][C]0.610627[/C][C]0.778747[/C][C]0.389373[/C][/ROW]
[ROW][C]117[/C][C]0.688955[/C][C]0.62209[/C][C]0.311045[/C][/ROW]
[ROW][C]118[/C][C]0.717945[/C][C]0.564109[/C][C]0.282055[/C][/ROW]
[ROW][C]119[/C][C]0.711549[/C][C]0.576902[/C][C]0.288451[/C][/ROW]
[ROW][C]120[/C][C]0.706492[/C][C]0.587016[/C][C]0.293508[/C][/ROW]
[ROW][C]121[/C][C]0.678716[/C][C]0.642568[/C][C]0.321284[/C][/ROW]
[ROW][C]122[/C][C]0.701493[/C][C]0.597013[/C][C]0.298507[/C][/ROW]
[ROW][C]123[/C][C]0.779538[/C][C]0.440924[/C][C]0.220462[/C][/ROW]
[ROW][C]124[/C][C]0.778503[/C][C]0.442995[/C][C]0.221497[/C][/ROW]
[ROW][C]125[/C][C]0.779446[/C][C]0.441109[/C][C]0.220554[/C][/ROW]
[ROW][C]126[/C][C]0.797922[/C][C]0.404157[/C][C]0.202078[/C][/ROW]
[ROW][C]127[/C][C]0.788763[/C][C]0.422473[/C][C]0.211237[/C][/ROW]
[ROW][C]128[/C][C]0.866331[/C][C]0.267339[/C][C]0.133669[/C][/ROW]
[ROW][C]129[/C][C]0.851845[/C][C]0.29631[/C][C]0.148155[/C][/ROW]
[ROW][C]130[/C][C]0.833093[/C][C]0.333813[/C][C]0.166907[/C][/ROW]
[ROW][C]131[/C][C]0.82122[/C][C]0.357559[/C][C]0.17878[/C][/ROW]
[ROW][C]132[/C][C]0.803606[/C][C]0.392789[/C][C]0.196394[/C][/ROW]
[ROW][C]133[/C][C]0.782898[/C][C]0.434205[/C][C]0.217102[/C][/ROW]
[ROW][C]134[/C][C]0.762412[/C][C]0.475177[/C][C]0.237588[/C][/ROW]
[ROW][C]135[/C][C]0.736134[/C][C]0.527732[/C][C]0.263866[/C][/ROW]
[ROW][C]136[/C][C]0.748276[/C][C]0.503448[/C][C]0.251724[/C][/ROW]
[ROW][C]137[/C][C]0.722044[/C][C]0.555911[/C][C]0.277956[/C][/ROW]
[ROW][C]138[/C][C]0.696826[/C][C]0.606348[/C][C]0.303174[/C][/ROW]
[ROW][C]139[/C][C]0.692482[/C][C]0.615036[/C][C]0.307518[/C][/ROW]
[ROW][C]140[/C][C]0.695514[/C][C]0.608973[/C][C]0.304486[/C][/ROW]
[ROW][C]141[/C][C]0.666584[/C][C]0.666832[/C][C]0.333416[/C][/ROW]
[ROW][C]142[/C][C]0.770313[/C][C]0.459374[/C][C]0.229687[/C][/ROW]
[ROW][C]143[/C][C]0.763978[/C][C]0.472044[/C][C]0.236022[/C][/ROW]
[ROW][C]144[/C][C]0.737968[/C][C]0.524063[/C][C]0.262032[/C][/ROW]
[ROW][C]145[/C][C]0.740076[/C][C]0.519848[/C][C]0.259924[/C][/ROW]
[ROW][C]146[/C][C]0.760154[/C][C]0.479691[/C][C]0.239846[/C][/ROW]
[ROW][C]147[/C][C]0.757727[/C][C]0.484545[/C][C]0.242273[/C][/ROW]
[ROW][C]148[/C][C]0.735141[/C][C]0.529717[/C][C]0.264859[/C][/ROW]
[ROW][C]149[/C][C]0.715659[/C][C]0.568681[/C][C]0.284341[/C][/ROW]
[ROW][C]150[/C][C]0.70946[/C][C]0.58108[/C][C]0.29054[/C][/ROW]
[ROW][C]151[/C][C]0.697574[/C][C]0.604852[/C][C]0.302426[/C][/ROW]
[ROW][C]152[/C][C]0.669474[/C][C]0.661052[/C][C]0.330526[/C][/ROW]
[ROW][C]153[/C][C]0.649274[/C][C]0.701452[/C][C]0.350726[/C][/ROW]
[ROW][C]154[/C][C]0.619242[/C][C]0.761517[/C][C]0.380758[/C][/ROW]
[ROW][C]155[/C][C]0.593304[/C][C]0.813392[/C][C]0.406696[/C][/ROW]
[ROW][C]156[/C][C]0.629873[/C][C]0.740254[/C][C]0.370127[/C][/ROW]
[ROW][C]157[/C][C]0.664714[/C][C]0.670573[/C][C]0.335286[/C][/ROW]
[ROW][C]158[/C][C]0.634761[/C][C]0.730478[/C][C]0.365239[/C][/ROW]
[ROW][C]159[/C][C]0.638631[/C][C]0.722737[/C][C]0.361369[/C][/ROW]
[ROW][C]160[/C][C]0.690134[/C][C]0.619732[/C][C]0.309866[/C][/ROW]
[ROW][C]161[/C][C]0.712969[/C][C]0.574063[/C][C]0.287031[/C][/ROW]
[ROW][C]162[/C][C]0.702493[/C][C]0.595015[/C][C]0.297507[/C][/ROW]
[ROW][C]163[/C][C]0.719305[/C][C]0.56139[/C][C]0.280695[/C][/ROW]
[ROW][C]164[/C][C]0.692267[/C][C]0.615466[/C][C]0.307733[/C][/ROW]
[ROW][C]165[/C][C]0.663288[/C][C]0.673424[/C][C]0.336712[/C][/ROW]
[ROW][C]166[/C][C]0.655307[/C][C]0.689387[/C][C]0.344693[/C][/ROW]
[ROW][C]167[/C][C]0.624982[/C][C]0.750036[/C][C]0.375018[/C][/ROW]
[ROW][C]168[/C][C]0.610671[/C][C]0.778657[/C][C]0.389329[/C][/ROW]
[ROW][C]169[/C][C]0.659612[/C][C]0.680775[/C][C]0.340388[/C][/ROW]
[ROW][C]170[/C][C]0.86094[/C][C]0.27812[/C][C]0.13906[/C][/ROW]
[ROW][C]171[/C][C]0.870219[/C][C]0.259562[/C][C]0.129781[/C][/ROW]
[ROW][C]172[/C][C]0.898865[/C][C]0.20227[/C][C]0.101135[/C][/ROW]
[ROW][C]173[/C][C]0.885154[/C][C]0.229692[/C][C]0.114846[/C][/ROW]
[ROW][C]174[/C][C]0.871574[/C][C]0.256851[/C][C]0.128426[/C][/ROW]
[ROW][C]175[/C][C]0.856849[/C][C]0.286301[/C][C]0.143151[/C][/ROW]
[ROW][C]176[/C][C]0.851673[/C][C]0.296654[/C][C]0.148327[/C][/ROW]
[ROW][C]177[/C][C]0.836861[/C][C]0.326277[/C][C]0.163139[/C][/ROW]
[ROW][C]178[/C][C]0.815131[/C][C]0.369739[/C][C]0.184869[/C][/ROW]
[ROW][C]179[/C][C]0.805679[/C][C]0.388642[/C][C]0.194321[/C][/ROW]
[ROW][C]180[/C][C]0.823928[/C][C]0.352145[/C][C]0.176072[/C][/ROW]
[ROW][C]181[/C][C]0.843065[/C][C]0.31387[/C][C]0.156935[/C][/ROW]
[ROW][C]182[/C][C]0.822327[/C][C]0.355346[/C][C]0.177673[/C][/ROW]
[ROW][C]183[/C][C]0.799757[/C][C]0.400487[/C][C]0.200243[/C][/ROW]
[ROW][C]184[/C][C]0.825457[/C][C]0.349085[/C][C]0.174543[/C][/ROW]
[ROW][C]185[/C][C]0.825523[/C][C]0.348953[/C][C]0.174477[/C][/ROW]
[ROW][C]186[/C][C]0.855192[/C][C]0.289616[/C][C]0.144808[/C][/ROW]
[ROW][C]187[/C][C]0.841106[/C][C]0.317788[/C][C]0.158894[/C][/ROW]
[ROW][C]188[/C][C]0.822616[/C][C]0.354767[/C][C]0.177384[/C][/ROW]
[ROW][C]189[/C][C]0.834446[/C][C]0.331108[/C][C]0.165554[/C][/ROW]
[ROW][C]190[/C][C]0.813154[/C][C]0.373693[/C][C]0.186846[/C][/ROW]
[ROW][C]191[/C][C]0.823299[/C][C]0.353401[/C][C]0.176701[/C][/ROW]
[ROW][C]192[/C][C]0.799861[/C][C]0.400278[/C][C]0.200139[/C][/ROW]
[ROW][C]193[/C][C]0.77495[/C][C]0.4501[/C][C]0.22505[/C][/ROW]
[ROW][C]194[/C][C]0.748006[/C][C]0.503987[/C][C]0.251994[/C][/ROW]
[ROW][C]195[/C][C]0.719183[/C][C]0.561634[/C][C]0.280817[/C][/ROW]
[ROW][C]196[/C][C]0.735553[/C][C]0.528893[/C][C]0.264447[/C][/ROW]
[ROW][C]197[/C][C]0.751583[/C][C]0.496835[/C][C]0.248417[/C][/ROW]
[ROW][C]198[/C][C]0.723149[/C][C]0.553701[/C][C]0.276851[/C][/ROW]
[ROW][C]199[/C][C]0.736618[/C][C]0.526765[/C][C]0.263382[/C][/ROW]
[ROW][C]200[/C][C]0.706469[/C][C]0.587063[/C][C]0.293531[/C][/ROW]
[ROW][C]201[/C][C]0.692754[/C][C]0.614492[/C][C]0.307246[/C][/ROW]
[ROW][C]202[/C][C]0.696134[/C][C]0.607733[/C][C]0.303866[/C][/ROW]
[ROW][C]203[/C][C]0.711835[/C][C]0.576331[/C][C]0.288165[/C][/ROW]
[ROW][C]204[/C][C]0.688099[/C][C]0.623802[/C][C]0.311901[/C][/ROW]
[ROW][C]205[/C][C]0.674518[/C][C]0.650964[/C][C]0.325482[/C][/ROW]
[ROW][C]206[/C][C]0.641141[/C][C]0.717719[/C][C]0.358859[/C][/ROW]
[ROW][C]207[/C][C]0.845982[/C][C]0.308036[/C][C]0.154018[/C][/ROW]
[ROW][C]208[/C][C]0.854267[/C][C]0.291466[/C][C]0.145733[/C][/ROW]
[ROW][C]209[/C][C]0.847597[/C][C]0.304806[/C][C]0.152403[/C][/ROW]
[ROW][C]210[/C][C]0.827011[/C][C]0.345978[/C][C]0.172989[/C][/ROW]
[ROW][C]211[/C][C]0.805715[/C][C]0.388569[/C][C]0.194285[/C][/ROW]
[ROW][C]212[/C][C]0.810804[/C][C]0.378393[/C][C]0.189196[/C][/ROW]
[ROW][C]213[/C][C]0.85738[/C][C]0.285239[/C][C]0.14262[/C][/ROW]
[ROW][C]214[/C][C]0.874586[/C][C]0.250829[/C][C]0.125414[/C][/ROW]
[ROW][C]215[/C][C]0.885963[/C][C]0.228074[/C][C]0.114037[/C][/ROW]
[ROW][C]216[/C][C]0.875129[/C][C]0.249743[/C][C]0.124871[/C][/ROW]
[ROW][C]217[/C][C]0.854186[/C][C]0.291628[/C][C]0.145814[/C][/ROW]
[ROW][C]218[/C][C]0.897847[/C][C]0.204306[/C][C]0.102153[/C][/ROW]
[ROW][C]219[/C][C]0.902355[/C][C]0.19529[/C][C]0.0976448[/C][/ROW]
[ROW][C]220[/C][C]0.88387[/C][C]0.232259[/C][C]0.11613[/C][/ROW]
[ROW][C]221[/C][C]0.87775[/C][C]0.2445[/C][C]0.12225[/C][/ROW]
[ROW][C]222[/C][C]0.886439[/C][C]0.227123[/C][C]0.113561[/C][/ROW]
[ROW][C]223[/C][C]0.865844[/C][C]0.268313[/C][C]0.134156[/C][/ROW]
[ROW][C]224[/C][C]0.84315[/C][C]0.313701[/C][C]0.15685[/C][/ROW]
[ROW][C]225[/C][C]0.860336[/C][C]0.279327[/C][C]0.139664[/C][/ROW]
[ROW][C]226[/C][C]0.903721[/C][C]0.192559[/C][C]0.0962793[/C][/ROW]
[ROW][C]227[/C][C]0.915145[/C][C]0.16971[/C][C]0.0848548[/C][/ROW]
[ROW][C]228[/C][C]0.897807[/C][C]0.204386[/C][C]0.102193[/C][/ROW]
[ROW][C]229[/C][C]0.894963[/C][C]0.210074[/C][C]0.105037[/C][/ROW]
[ROW][C]230[/C][C]0.925013[/C][C]0.149975[/C][C]0.0749875[/C][/ROW]
[ROW][C]231[/C][C]0.908636[/C][C]0.182729[/C][C]0.0913644[/C][/ROW]
[ROW][C]232[/C][C]0.898562[/C][C]0.202877[/C][C]0.101438[/C][/ROW]
[ROW][C]233[/C][C]0.930012[/C][C]0.139976[/C][C]0.0699879[/C][/ROW]
[ROW][C]234[/C][C]0.939281[/C][C]0.121437[/C][C]0.0607187[/C][/ROW]
[ROW][C]235[/C][C]0.934353[/C][C]0.131294[/C][C]0.0656472[/C][/ROW]
[ROW][C]236[/C][C]0.924671[/C][C]0.150659[/C][C]0.0753294[/C][/ROW]
[ROW][C]237[/C][C]0.908989[/C][C]0.182022[/C][C]0.0910109[/C][/ROW]
[ROW][C]238[/C][C]0.918005[/C][C]0.163989[/C][C]0.0819947[/C][/ROW]
[ROW][C]239[/C][C]0.945997[/C][C]0.108006[/C][C]0.0540031[/C][/ROW]
[ROW][C]240[/C][C]0.947563[/C][C]0.104875[/C][C]0.0524374[/C][/ROW]
[ROW][C]241[/C][C]0.93772[/C][C]0.124561[/C][C]0.0622804[/C][/ROW]
[ROW][C]242[/C][C]0.966612[/C][C]0.0667761[/C][C]0.033388[/C][/ROW]
[ROW][C]243[/C][C]0.956901[/C][C]0.0861987[/C][C]0.0430993[/C][/ROW]
[ROW][C]244[/C][C]0.969298[/C][C]0.061404[/C][C]0.030702[/C][/ROW]
[ROW][C]245[/C][C]0.980148[/C][C]0.0397034[/C][C]0.0198517[/C][/ROW]
[ROW][C]246[/C][C]0.981577[/C][C]0.0368454[/C][C]0.0184227[/C][/ROW]
[ROW][C]247[/C][C]0.981806[/C][C]0.0363889[/C][C]0.0181944[/C][/ROW]
[ROW][C]248[/C][C]0.97786[/C][C]0.0442796[/C][C]0.0221398[/C][/ROW]
[ROW][C]249[/C][C]0.969693[/C][C]0.0606135[/C][C]0.0303067[/C][/ROW]
[ROW][C]250[/C][C]0.96933[/C][C]0.0613405[/C][C]0.0306703[/C][/ROW]
[ROW][C]251[/C][C]0.958529[/C][C]0.0829415[/C][C]0.0414707[/C][/ROW]
[ROW][C]252[/C][C]0.978119[/C][C]0.0437618[/C][C]0.0218809[/C][/ROW]
[ROW][C]253[/C][C]0.975135[/C][C]0.04973[/C][C]0.024865[/C][/ROW]
[ROW][C]254[/C][C]0.966925[/C][C]0.0661505[/C][C]0.0330752[/C][/ROW]
[ROW][C]255[/C][C]0.955513[/C][C]0.088973[/C][C]0.0444865[/C][/ROW]
[ROW][C]256[/C][C]0.984278[/C][C]0.0314449[/C][C]0.0157225[/C][/ROW]
[ROW][C]257[/C][C]0.981988[/C][C]0.0360231[/C][C]0.0180115[/C][/ROW]
[ROW][C]258[/C][C]0.978366[/C][C]0.0432683[/C][C]0.0216342[/C][/ROW]
[ROW][C]259[/C][C]0.97778[/C][C]0.0444407[/C][C]0.0222204[/C][/ROW]
[ROW][C]260[/C][C]0.983104[/C][C]0.0337924[/C][C]0.0168962[/C][/ROW]
[ROW][C]261[/C][C]0.976123[/C][C]0.0477531[/C][C]0.0238765[/C][/ROW]
[ROW][C]262[/C][C]0.964893[/C][C]0.0702137[/C][C]0.0351069[/C][/ROW]
[ROW][C]263[/C][C]0.950394[/C][C]0.0992123[/C][C]0.0496061[/C][/ROW]
[ROW][C]264[/C][C]0.994403[/C][C]0.0111937[/C][C]0.00559686[/C][/ROW]
[ROW][C]265[/C][C]0.991563[/C][C]0.0168734[/C][C]0.0084367[/C][/ROW]
[ROW][C]266[/C][C]0.991091[/C][C]0.0178171[/C][C]0.00890855[/C][/ROW]
[ROW][C]267[/C][C]0.985866[/C][C]0.0282689[/C][C]0.0141344[/C][/ROW]
[ROW][C]268[/C][C]0.978178[/C][C]0.0436431[/C][C]0.0218216[/C][/ROW]
[ROW][C]269[/C][C]0.975144[/C][C]0.0497113[/C][C]0.0248556[/C][/ROW]
[ROW][C]270[/C][C]0.985429[/C][C]0.0291419[/C][C]0.0145709[/C][/ROW]
[ROW][C]271[/C][C]0.974736[/C][C]0.0505278[/C][C]0.0252639[/C][/ROW]
[ROW][C]272[/C][C]0.959094[/C][C]0.0818123[/C][C]0.0409062[/C][/ROW]
[ROW][C]273[/C][C]0.932822[/C][C]0.134355[/C][C]0.0671776[/C][/ROW]
[ROW][C]274[/C][C]0.896701[/C][C]0.206599[/C][C]0.103299[/C][/ROW]
[ROW][C]275[/C][C]0.891387[/C][C]0.217225[/C][C]0.108613[/C][/ROW]
[ROW][C]276[/C][C]0.833007[/C][C]0.333986[/C][C]0.166993[/C][/ROW]
[ROW][C]277[/C][C]0.75107[/C][C]0.497859[/C][C]0.24893[/C][/ROW]
[ROW][C]278[/C][C]0.642532[/C][C]0.714936[/C][C]0.357468[/C][/ROW]
[ROW][C]279[/C][C]0.804297[/C][C]0.391405[/C][C]0.195703[/C][/ROW]
[ROW][C]280[/C][C]0.714943[/C][C]0.570113[/C][C]0.285057[/C][/ROW]
[ROW][C]281[/C][C]0.637326[/C][C]0.725348[/C][C]0.362674[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267341&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267341&T=5

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


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.01503890.03007790.984961
70.4010950.802190.598905
80.3355320.6710640.664468
90.2939280.5878560.706072
100.2093040.4186080.790696
110.2413320.4826650.758668
120.1725130.3450260.827487
130.1147960.2295910.885204
140.1231260.2462530.876874
150.09791850.1958370.902082
160.5270490.9459020.472951
170.5837050.832590.416295
180.5307660.9384670.469234
190.4718790.9437570.528121
200.4036150.807230.596385
210.345080.6901590.65492
220.2914690.5829370.708531
230.238030.476060.76197
240.446720.8934390.55328
250.468840.9376790.53116
260.4097540.8195080.590246
270.7150190.5699610.284981
280.6669880.6660240.333012
290.7203960.5592080.279604
300.6745980.6508040.325402
310.6286790.7426410.371321
320.6702380.6595230.329762
330.6273960.7452080.372604
340.5802280.8395430.419772
350.5365020.9269960.463498
360.5026960.9946080.497304
370.503470.9930590.49653
380.5294050.941190.470595
390.4861920.9723850.513808
400.4440970.8881930.555903
410.4149090.8298190.585091
420.3833350.7666690.616665
430.3657930.7315860.634207
440.3252720.6505440.674728
450.3016720.6033440.698328
460.2856950.5713910.714305
470.4169630.8339260.583037
480.429580.859160.57042
490.4139880.8279760.586012
500.4611460.9222920.538854
510.4675240.9350490.532476
520.5063830.9872340.493617
530.4789540.9579090.521046
540.6768490.6463010.323151
550.6487430.7025150.351257
560.6194660.7610670.380534
570.5863970.8272060.413603
580.5583680.8832640.441632
590.5195280.9609450.480472
600.481520.963040.51848
610.6172380.7655230.382762
620.6072970.7854060.392703
630.5931610.8136780.406839
640.5806030.8387930.419397
650.5586780.8826440.441322
660.6729730.6540540.327027
670.7089970.5820050.291003
680.758290.483420.24171
690.775730.4485410.22427
700.8607030.2785950.139297
710.8931840.2136320.106816
720.8791430.2417140.120857
730.8890550.221890.110945
740.8725840.2548330.127416
750.89840.20320.1016
760.9020960.1958080.0979039
770.8986140.2027710.101386
780.8875610.2248780.112439
790.905310.189380.0946899
800.9072150.185570.0927852
810.8938980.2122030.106102
820.8866980.2266050.113302
830.894150.21170.10585
840.8830540.2338920.116946
850.8772060.2455880.122794
860.8629660.2740690.137034
870.8642070.2715860.135793
880.8613910.2772180.138609
890.8421830.3156340.157817
900.8303670.3392660.169633
910.847040.3059210.15296
920.8703510.2592980.129649
930.8684030.2631930.131597
940.852010.295980.14799
950.866790.2664210.13321
960.8476610.3046790.152339
970.8302320.3395370.169768
980.8132430.3735130.186757
990.7992970.4014070.200703
1000.7787140.4425720.221286
1010.7542830.4914340.245717
1020.7420340.5159330.257966
1030.724360.5512790.27564
1040.7040570.5918860.295943
1050.7343440.5313120.265656
1060.7198680.5602640.280132
1070.7011440.5977120.298856
1080.6743160.6513680.325684
1090.6574450.6851110.342555
1100.6344590.7310820.365541
1110.6150270.7699450.384973
1120.5966870.8066270.403313
1130.6758410.6483170.324159
1140.6578780.6842430.342122
1150.6289260.7421470.371074
1160.6106270.7787470.389373
1170.6889550.622090.311045
1180.7179450.5641090.282055
1190.7115490.5769020.288451
1200.7064920.5870160.293508
1210.6787160.6425680.321284
1220.7014930.5970130.298507
1230.7795380.4409240.220462
1240.7785030.4429950.221497
1250.7794460.4411090.220554
1260.7979220.4041570.202078
1270.7887630.4224730.211237
1280.8663310.2673390.133669
1290.8518450.296310.148155
1300.8330930.3338130.166907
1310.821220.3575590.17878
1320.8036060.3927890.196394
1330.7828980.4342050.217102
1340.7624120.4751770.237588
1350.7361340.5277320.263866
1360.7482760.5034480.251724
1370.7220440.5559110.277956
1380.6968260.6063480.303174
1390.6924820.6150360.307518
1400.6955140.6089730.304486
1410.6665840.6668320.333416
1420.7703130.4593740.229687
1430.7639780.4720440.236022
1440.7379680.5240630.262032
1450.7400760.5198480.259924
1460.7601540.4796910.239846
1470.7577270.4845450.242273
1480.7351410.5297170.264859
1490.7156590.5686810.284341
1500.709460.581080.29054
1510.6975740.6048520.302426
1520.6694740.6610520.330526
1530.6492740.7014520.350726
1540.6192420.7615170.380758
1550.5933040.8133920.406696
1560.6298730.7402540.370127
1570.6647140.6705730.335286
1580.6347610.7304780.365239
1590.6386310.7227370.361369
1600.6901340.6197320.309866
1610.7129690.5740630.287031
1620.7024930.5950150.297507
1630.7193050.561390.280695
1640.6922670.6154660.307733
1650.6632880.6734240.336712
1660.6553070.6893870.344693
1670.6249820.7500360.375018
1680.6106710.7786570.389329
1690.6596120.6807750.340388
1700.860940.278120.13906
1710.8702190.2595620.129781
1720.8988650.202270.101135
1730.8851540.2296920.114846
1740.8715740.2568510.128426
1750.8568490.2863010.143151
1760.8516730.2966540.148327
1770.8368610.3262770.163139
1780.8151310.3697390.184869
1790.8056790.3886420.194321
1800.8239280.3521450.176072
1810.8430650.313870.156935
1820.8223270.3553460.177673
1830.7997570.4004870.200243
1840.8254570.3490850.174543
1850.8255230.3489530.174477
1860.8551920.2896160.144808
1870.8411060.3177880.158894
1880.8226160.3547670.177384
1890.8344460.3311080.165554
1900.8131540.3736930.186846
1910.8232990.3534010.176701
1920.7998610.4002780.200139
1930.774950.45010.22505
1940.7480060.5039870.251994
1950.7191830.5616340.280817
1960.7355530.5288930.264447
1970.7515830.4968350.248417
1980.7231490.5537010.276851
1990.7366180.5267650.263382
2000.7064690.5870630.293531
2010.6927540.6144920.307246
2020.6961340.6077330.303866
2030.7118350.5763310.288165
2040.6880990.6238020.311901
2050.6745180.6509640.325482
2060.6411410.7177190.358859
2070.8459820.3080360.154018
2080.8542670.2914660.145733
2090.8475970.3048060.152403
2100.8270110.3459780.172989
2110.8057150.3885690.194285
2120.8108040.3783930.189196
2130.857380.2852390.14262
2140.8745860.2508290.125414
2150.8859630.2280740.114037
2160.8751290.2497430.124871
2170.8541860.2916280.145814
2180.8978470.2043060.102153
2190.9023550.195290.0976448
2200.883870.2322590.11613
2210.877750.24450.12225
2220.8864390.2271230.113561
2230.8658440.2683130.134156
2240.843150.3137010.15685
2250.8603360.2793270.139664
2260.9037210.1925590.0962793
2270.9151450.169710.0848548
2280.8978070.2043860.102193
2290.8949630.2100740.105037
2300.9250130.1499750.0749875
2310.9086360.1827290.0913644
2320.8985620.2028770.101438
2330.9300120.1399760.0699879
2340.9392810.1214370.0607187
2350.9343530.1312940.0656472
2360.9246710.1506590.0753294
2370.9089890.1820220.0910109
2380.9180050.1639890.0819947
2390.9459970.1080060.0540031
2400.9475630.1048750.0524374
2410.937720.1245610.0622804
2420.9666120.06677610.033388
2430.9569010.08619870.0430993
2440.9692980.0614040.030702
2450.9801480.03970340.0198517
2460.9815770.03684540.0184227
2470.9818060.03638890.0181944
2480.977860.04427960.0221398
2490.9696930.06061350.0303067
2500.969330.06134050.0306703
2510.9585290.08294150.0414707
2520.9781190.04376180.0218809
2530.9751350.049730.024865
2540.9669250.06615050.0330752
2550.9555130.0889730.0444865
2560.9842780.03144490.0157225
2570.9819880.03602310.0180115
2580.9783660.04326830.0216342
2590.977780.04444070.0222204
2600.9831040.03379240.0168962
2610.9761230.04775310.0238765
2620.9648930.07021370.0351069
2630.9503940.09921230.0496061
2640.9944030.01119370.00559686
2650.9915630.01687340.0084367
2660.9910910.01781710.00890855
2670.9858660.02826890.0141344
2680.9781780.04364310.0218216
2690.9751440.04971130.0248556
2700.9854290.02914190.0145709
2710.9747360.05052780.0252639
2720.9590940.08181230.0409062
2730.9328220.1343550.0671776
2740.8967010.2065990.103299
2750.8913870.2172250.108613
2760.8330070.3339860.166993
2770.751070.4978590.24893
2780.6425320.7149360.357468
2790.8042970.3914050.195703
2800.7149430.5701130.285057
2810.6373260.7253480.362674






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level200.0724638NOK
10% type I error level320.115942NOK

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
Description & # significant tests & % significant tests & OK/NOK \tabularnewline
1% type I error level & 0 & 0 & OK \tabularnewline
5% type I error level & 20 & 0.0724638 & NOK \tabularnewline
10% type I error level & 32 & 0.115942 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267341&T=6

[TABLE]
[ROW][C]Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]Description[/C][C]# significant tests[/C][C]% significant tests[/C][C]OK/NOK[/C][/ROW]
[ROW][C]1% type I error level[/C][C]0[/C][C]0[/C][C]OK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]20[/C][C]0.0724638[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]32[/C][C]0.115942[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267341&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267341&T=6

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


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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level200.0724638NOK
10% type I error level320.115942NOK


Figures (Output of Computation)

Figure 1
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Figure 2
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Figure 3
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Figure 4
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Figure 5
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Figure 6
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Figure 7
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Figure 8
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Figure 9
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Figure 10
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Input Parameters & R Code

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