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*The author of this computation has been verified*

R Software Module

rwasp_multipleregression.wasp

Title produced by software

Multiple Regression

Date of computation

Tue, 21 Dec 2010 23:13:44 +0000

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/22/t1292973762mfe60aguycx28hq.htm/, Retrieved Mon, 06 May 2024 03:54:48 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=114027, Retrieved Mon, 06 May 2024 03:54:48 +0000

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No (this computation is public)

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Estimated Impact

195

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

-       [Multiple Regression] [] [2010-12-21 23:13:44] [40b262140b988d7b8204c4955f8b7651] [Current]

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Dataseries X:

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12,42	10,8
12,37	10,9
12,53	10,9
12,02	11,0
11,70	11,0
11,67	10,9
11,51	10,9
11,50	10,8
11,77	10,8
11,75	10,8
11,87	10,8
12,18	10,8
12,29	10,8
12,41	10,9
12,55	10,9
12,39	10,8
12,39	10,7
12,40	10,6
12,33	10,6
12,16	10,6
12,12	10,4
12,13	10,2
11,90	10,1
11,84	10,0
11,75	9,9
11,73	9,9
11,73	9,9
11,64	9,9
11,45	9,9
10,78	10,0
10,67	10,0
10,80	10,1
10,76	10,1
10,38	10,1
9,99	10,1
9,94	10,1
10,05	10,0
9,99	10,0
9,48	10,0
8,29	10,0
8,48	10,1
8,58	10,1
8,23	10,1
7,92	10,0
8,04	10,0
8,09	10,0
8,09	9,9
8,27	9,9
8,26	9,8
8,20	9,7
8,11	9,7
8,02	9,6
8,05	9,6
8,10	9,5
8,07	9,4
7,96	9,4
8,18	9,3
8,64	9,2
8,35	9,1
8,27	8,9
8,16	8,8
7,78	8,7
7,67	8,5
7,79	8,3
7,93	8,2
7,95	8,1
8,09	7,9
8,20	7,8
8,24	7,7
8,09	7,6
8,05	7,5
8,14	7,4
8,17	7,3
8,30	7,3
8,51	7,2
8,42	7,1
8,36	7,0
8,35	6,9
8,39	6,8
8,36	6,7
8,43	6,7
8,68	6,6
9,10	6,6
9,40	6,6
9,80	6,5
10,40	6,5
10,26	6,4
10,00	6,4
9,82	6,4
9,75	6,4
9,56	6,4
10,01	6,4
10,30	6,4
10,22	6,3
10,01	6,4
9,95	6,4
9,87	6,4
9,25	6,4
9,23	6,5
9,17	6,5
9,14	6,6
9,26	6,6
9,47	6,7
9,41	6,7
9,22	6,8
9,13	6,9
9,15	7,0
9,13	7,0
8,72	7,1
8,72	7,2
8,81	7,2
8,86	7,4
8,83	7,5
8,92	7,6
8,91	7,8
9,03	7,9
8,77	8,1
8,28	8,2
8,04	8,4
7,95	8,5
7,57	8,7
7,65	8,9
7,37	9,0
7,44	9,2
7,43	9,3
7,23	9,5
7,05	9,6
7,08	9,6
7,22	9,7
7,19	9,8
6,92	9,9
6,59	9,9
6,52	9,8
6,70	9,8
7,14	9,8
7,29	9,8
7,54	9,7
7,98	9,7
7,95	9,7
8,21	9,7
8,58	9,6
8,45	9,6
8,35	9,6
8,30	9,6
8,45	9,6
8,27	9,7
8,16	9,7
7,85	9,8
7,59	9,8
7,33	9,9
7,33	9,9
7,19	9,9
7,04	9,8
7,06	9,7
6,80	9,7
6,70	9,6
6,44	9,5
6,64	9,4
6,84	9,4
6,67	9,3
6,69	9,2
6,78	9,2
6,78	9,2
6,62	9,1
6,45	9,1
6,10	9,1
6,00	9,1
5,90	9,2
5,89	9,3
5,65	9,3
5,85	9,3
6,02	9,3
5,90	9,3
5,83	9,4
5,64	9,4
5,75	9,4
5,69	9,5
5,69	9,5
5,68	9,4
5,45	9,4
5,22	9,3
5,11	9,4
5,03	9,4
5,03	9,2
5,09	9,1
4,96	9,1
4,88	9,1
4,66	9,0
4,34	9,0
4,28	8,9
4,33	8,8
4,09	8,7
3,90	8,5
4,04	8,3
4,26	8,1
4,11	7,9
4,29	7,8
4,64	7,6
4,94	7,4
5,18	7,2
5,34	7,0
5,58	7,0
5,30	6,8
5,41	6,8
5,79	6,7
5,79	6,8
5,62	6,7
5,52	6,7
5,69	6,7
5,53	6,5
5,60	6,3
5,56	6,3
5,63	6,3
5,58	6,5
5,52	6,6
5,28	6,5
5,16	6,3
5,16	6,3
5,08	6,5
5,21	7,0
5,38	7,1
5,33	7,3
5,35	7,3
5,15	7,4
5,14	7,4
4,89	7,3
4,75	7,4
4,97	7,5
5,08	7,7
5,15	7,7
5,37	7,7
5,37	7,7
5,38	7,7
5,24	7,8
5,09	8,0
4,80	8,1
4,60	8,1
4,66	8,2
4,64	8,2
4,46	8,2
4,28	8,1
4,11	8,1
4,15	8,2
4,29	8,3
3,95	8,3
3,74	8,4
4,06	8,5
4,22	8,5
4,25	8,4
4,31	8,0
4,43	7,9
4,38	8,1
4,26	8,5
4,26	8,8
4,07	8,8
4,26	8,6
4,40	8,3
4,46	8,3
4,34	8,3
4,18	8,4
4,11	8,4
3,98	8,5
3,85	8,6
3,66	8,6
3,59	8,6
3,57	8,6
3,76	8,6
3,60	8,5
3,43	8,4
3,26	8,4
3,30	8,4
3,31	8,5
3,14	8,5
3,30	8,6
3,49	8,6
3,39	8,4
3,37	8,2
3,54	8,0
3,70	8,0
3,96	8,0
4,03	8,0
4,02	7,9
4,04	7,9
3,92	7,8
3,79	7,8
3,83	8,0

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	9 seconds
R Server	'RServer@AstonUniversity' @ vre.aston.ac.uk

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 9 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114027&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]9 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114027&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114027&T=0

As an alternative you can also use a QR Code:

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

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	9 seconds
R Server	'RServer@AstonUniversity' @ vre.aston.ac.uk

Multiple Linear Regression - Estimated Regression Equation
werkloosheid[t] = + 1.69584699396042 + 0.641159949274386rente[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
werkloosheid[t] =  +  1.69584699396042 +  0.641159949274386rente[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114027&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]werkloosheid[t] =  +  1.69584699396042 +  0.641159949274386rente[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114027&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114027&T=1

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Estimated Regression Equation
werkloosheid[t] = + 1.69584699396042 + 0.641159949274386rente[t] + e[t]

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	1.69584699396042	0.944435	1.7956	0.073618	0.036809
rente	0.641159949274386	0.108992	5.8826	0	0

\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) & 1.69584699396042 & 0.944435 & 1.7956 & 0.073618 & 0.036809 \tabularnewline
rente & 0.641159949274386 & 0.108992 & 5.8826 & 0 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114027&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]1.69584699396042[/C][C]0.944435[/C][C]1.7956[/C][C]0.073618[/C][C]0.036809[/C][/ROW]
[ROW][C]rente[/C][C]0.641159949274386[/C][C]0.108992[/C][C]5.8826[/C][C]0[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114027&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114027&T=2

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	1.69584699396042	0.944435	1.7956	0.073618	0.036809
rente	0.641159949274386	0.108992	5.8826	0	0

Multiple Linear Regression - Regression Statistics
Multiple R	0.329568446991042
R-squared	0.108615361252088
Adjusted R-squared	0.105476682946637
F-TEST (value)	34.6054455671593
F-TEST (DF numerator)	1
F-TEST (DF denominator)	284
p-value	1.13376847910018e-08
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	2.40864917832912
Sum Squared Residuals	1647.65180545142

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.329568446991042 \tabularnewline
R-squared & 0.108615361252088 \tabularnewline
Adjusted R-squared & 0.105476682946637 \tabularnewline
F-TEST (value) & 34.6054455671593 \tabularnewline
F-TEST (DF numerator) & 1 \tabularnewline
F-TEST (DF denominator) & 284 \tabularnewline
p-value & 1.13376847910018e-08 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.40864917832912 \tabularnewline
Sum Squared Residuals & 1647.65180545142 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114027&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.329568446991042[/C][/ROW]
[ROW][C]R-squared[/C][C]0.108615361252088[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.105476682946637[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]34.6054455671593[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]1[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]284[/C][/ROW]
[ROW][C]p-value[/C][C]1.13376847910018e-08[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]2.40864917832912[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]1647.65180545142[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114027&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114027&T=3

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Regression Statistics
Multiple R	0.329568446991042
R-squared	0.108615361252088
Adjusted R-squared	0.105476682946637
F-TEST (value)	34.6054455671593
F-TEST (DF numerator)	1
F-TEST (DF denominator)	284
p-value	1.13376847910018e-08
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	2.40864917832912
Sum Squared Residuals	1647.65180545142

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	12.42	8.6203744461238	3.7996255538762
2	12.37	8.68449044105123	3.68550955894877
3	12.53	8.68449044105123	3.84550955894877
4	12.02	8.74860643597867	3.27139356402133
5	11.7	8.74860643597867	2.95139356402133
6	11.67	8.68449044105123	2.98550955894877
7	11.51	8.68449044105123	2.82550955894877
8	11.5	8.6203744461238	2.8796255538762
9	11.77	8.6203744461238	3.1496255538762
10	11.75	8.6203744461238	3.1296255538762
11	11.87	8.6203744461238	3.2496255538762
12	12.18	8.6203744461238	3.5596255538762
13	12.29	8.6203744461238	3.6696255538762
14	12.41	8.68449044105123	3.72550955894877
15	12.55	8.68449044105123	3.86550955894877
16	12.39	8.6203744461238	3.76962555387621
17	12.39	8.55625845119636	3.83374154880364
18	12.4	8.49214245626892	3.90785754373108
19	12.33	8.49214245626892	3.83785754373108
20	12.16	8.49214245626892	3.66785754373108
21	12.12	8.36391046641404	3.75608953358596
22	12.13	8.23567847655916	3.89432152344084
23	11.9	8.17156248163172	3.72843751836828
24	11.84	8.10744648670429	3.73255351329571
25	11.75	8.04333049177685	3.70666950822315
26	11.73	8.04333049177685	3.68666950822315
27	11.73	8.04333049177685	3.68666950822315
28	11.64	8.04333049177685	3.59666950822315
29	11.45	8.04333049177685	3.40666950822315
30	10.78	8.10744648670429	2.67255351329571
31	10.67	8.10744648670429	2.56255351329571
32	10.8	8.17156248163172	2.62843751836828
33	10.76	8.17156248163172	2.58843751836828
34	10.38	8.17156248163172	2.20843751836828
35	9.99	8.17156248163172	1.81843751836828
36	9.94	8.17156248163172	1.76843751836828
37	10.05	8.10744648670429	1.94255351329571
38	9.99	8.10744648670429	1.88255351329571
39	9.48	8.10744648670429	1.37255351329571
40	8.29	8.10744648670429	0.182553513295713
41	8.48	8.17156248163172	0.308437518368276
42	8.58	8.17156248163172	0.408437518368276
43	8.23	8.17156248163172	0.0584375183682762
44	7.92	8.10744648670429	-0.187446486704286
45	8.04	8.10744648670429	-0.0674464867042867
46	8.09	8.10744648670429	-0.0174464867042859
47	8.09	8.04333049177685	0.0466695082231524
48	8.27	8.04333049177685	0.226669508223152
49	8.26	7.9792144968494	0.280785503150591
50	8.2	7.91509850192197	0.28490149807803
51	8.11	7.91509850192197	0.19490149807803
52	8.02	7.85098250699453	0.169017493005468
53	8.05	7.85098250699453	0.19901749300547
54	8.1	7.78686651206709	0.313133487932907
55	8.07	7.72275051713965	0.347249482860346
56	7.96	7.72275051713965	0.237249482860346
57	8.18	7.65863452221222	0.521365477787784
58	8.64	7.59451852728478	1.04548147271522
59	8.35	7.53040253235734	0.819597467642662
60	8.27	7.40217054250246	0.867829457497538
61	8.16	7.33805454757502	0.821945452424977
62	7.78	7.27393855264758	0.506061447352417
63	7.67	7.1457065627927	0.524293437207293
64	7.79	7.01747457293783	0.77252542706217
65	7.93	6.95335857801039	0.97664142198961
66	7.95	6.88924258308295	1.06075741691705
67	8.09	6.76101059322808	1.32898940677192
68	8.2	6.69689459830064	1.50310540169936
69	8.24	6.6327786033732	1.6072213966268
70	8.09	6.56866260844576	1.52133739155424
71	8.05	6.50454661351832	1.54545338648168
72	8.14	6.44043061859088	1.69956938140912
73	8.17	6.37631462366344	1.79368537633656
74	8.3	6.37631462366344	1.92368537633656
75	8.51	6.312198628736	2.197801371264
76	8.42	6.24808263380857	2.17191736619143
77	8.36	6.18396663888113	2.17603336111887
78	8.35	6.11985064395369	2.23014935604631
79	8.39	6.05573464902625	2.33426535097375
80	8.36	5.99161865409881	2.36838134590119
81	8.43	5.99161865409881	2.43838134590119
82	8.68	5.92750265917137	2.75249734082863
83	9.1	5.92750265917137	3.17249734082863
84	9.4	5.92750265917137	3.47249734082863
85	9.8	5.86338666424393	3.93661333575607
86	10.4	5.86338666424393	4.53661333575607
87	10.26	5.7992706693165	4.4607293306835
88	10	5.7992706693165	4.2007293306835
89	9.82	5.7992706693165	4.0207293306835
90	9.75	5.7992706693165	3.9507293306835
91	9.56	5.7992706693165	3.76072933068351
92	10.01	5.7992706693165	4.2107293306835
93	10.3	5.7992706693165	4.5007293306835
94	10.22	5.73515467438906	4.48484532561094
95	10.01	5.7992706693165	4.2107293306835
96	9.95	5.7992706693165	4.1507293306835
97	9.87	5.7992706693165	4.0707293306835
98	9.25	5.7992706693165	3.4507293306835
99	9.23	5.86338666424393	3.36661333575607
100	9.17	5.86338666424393	3.30661333575607
101	9.14	5.92750265917137	3.21249734082863
102	9.26	5.92750265917137	3.33249734082863
103	9.47	5.99161865409881	3.47838134590119
104	9.41	5.99161865409881	3.41838134590119
105	9.22	6.05573464902625	3.16426535097375
106	9.13	6.11985064395369	3.01014935604631
107	9.15	6.18396663888113	2.96603336111887
108	9.13	6.18396663888113	2.94603336111887
109	8.72	6.24808263380857	2.47191736619143
110	8.72	6.312198628736	2.407801371264
111	8.81	6.312198628736	2.497801371264
112	8.86	6.44043061859088	2.41956938140912
113	8.83	6.50454661351832	2.32545338648168
114	8.92	6.56866260844576	2.35133739155424
115	8.91	6.69689459830064	2.21310540169936
116	9.03	6.76101059322808	2.26898940677192
117	8.77	6.88924258308295	1.88075741691705
118	8.28	6.95335857801039	1.32664142198961
119	8.04	7.08159056786527	0.95840943213473
120	7.95	7.1457065627927	0.804293437207294
121	7.57	7.27393855264758	0.296061447352417
122	7.65	7.40217054250246	0.247829457497539
123	7.37	7.4662865374299	-0.0962865374298996
124	7.44	7.59451852728478	-0.154518527284776
125	7.43	7.65863452221222	-0.228634522212216
126	7.23	7.78686651206709	-0.556866512067092
127	7.05	7.85098250699453	-0.800982506994531
128	7.08	7.85098250699453	-0.770982506994531
129	7.22	7.91509850192197	-0.69509850192197
130	7.19	7.9792144968494	-0.789214496849408
131	6.92	8.04333049177685	-1.12333049177685
132	6.59	8.04333049177685	-1.45333049177685
133	6.52	7.9792144968494	-1.45921449684941
134	6.7	7.9792144968494	-1.27921449684941
135	7.14	7.9792144968494	-0.83921449684941
136	7.29	7.9792144968494	-0.689214496849409
137	7.54	7.91509850192197	-0.375098501921969
138	7.98	7.91509850192197	0.0649014980780309
139	7.95	7.91509850192197	0.0349014980780307
140	8.21	7.91509850192197	0.294901498078031
141	8.58	7.85098250699453	0.72901749300547
142	8.45	7.85098250699453	0.599017493005468
143	8.35	7.85098250699453	0.499017493005469
144	8.3	7.85098250699453	0.44901749300547
145	8.45	7.85098250699453	0.599017493005468
146	8.27	7.91509850192197	0.35490149807803
147	8.16	7.91509850192197	0.244901498078031
148	7.85	7.9792144968494	-0.129214496849409
149	7.59	7.9792144968494	-0.389214496849409
150	7.33	8.04333049177685	-0.713330491776847
151	7.33	8.04333049177685	-0.713330491776847
152	7.19	8.04333049177685	-0.853330491776847
153	7.04	7.9792144968494	-0.939214496849409
154	7.06	7.91509850192197	-0.85509850192197
155	6.8	7.91509850192197	-1.11509850192197
156	6.7	7.85098250699453	-1.15098250699453
157	6.44	7.78686651206709	-1.34686651206709
158	6.64	7.72275051713965	-1.08275051713965
159	6.84	7.72275051713965	-0.882750517139654
160	6.67	7.65863452221222	-0.988634522212216
161	6.69	7.59451852728478	-0.904518527284776
162	6.78	7.59451852728478	-0.814518527284776
163	6.78	7.59451852728478	-0.814518527284776
164	6.62	7.53040253235734	-0.910402532357338
165	6.45	7.53040253235734	-1.08040253235734
166	6.1	7.53040253235734	-1.43040253235734
167	6	7.53040253235734	-1.53040253235734
168	5.9	7.59451852728478	-1.69451852728478
169	5.89	7.65863452221222	-1.76863452221222
170	5.65	7.65863452221222	-2.00863452221222
171	5.85	7.65863452221222	-1.80863452221222
172	6.02	7.65863452221222	-1.63863452221222
173	5.9	7.65863452221222	-1.75863452221222
174	5.83	7.72275051713965	-1.89275051713965
175	5.64	7.72275051713965	-2.08275051713965
176	5.75	7.72275051713965	-1.97275051713965
177	5.69	7.78686651206709	-2.09686651206709
178	5.69	7.78686651206709	-2.09686651206709
179	5.68	7.72275051713965	-2.04275051713965
180	5.45	7.72275051713965	-2.27275051713965
181	5.22	7.65863452221222	-2.43863452221222
182	5.11	7.72275051713965	-2.61275051713965
183	5.03	7.72275051713965	-2.69275051713965
184	5.03	7.59451852728478	-2.56451852728478
185	5.09	7.53040253235734	-2.44040253235734
186	4.96	7.53040253235734	-2.57040253235734
187	4.88	7.53040253235734	-2.65040253235734
188	4.66	7.4662865374299	-2.8062865374299
189	4.34	7.4662865374299	-3.1262865374299
190	4.28	7.40217054250246	-3.12217054250246
191	4.33	7.33805454757502	-3.00805454757502
192	4.09	7.27393855264758	-3.18393855264758
193	3.9	7.1457065627927	-3.24570656279271
194	4.04	7.01747457293783	-2.97747457293783
195	4.26	6.88924258308295	-2.62924258308295
196	4.11	6.76101059322808	-2.65101059322807
197	4.29	6.69689459830064	-2.40689459830064
198	4.64	6.56866260844576	-1.92866260844576
199	4.94	6.44043061859088	-1.50043061859088
200	5.18	6.312198628736	-1.13219862873601
201	5.34	6.18396663888113	-0.843966638881127
202	5.58	6.18396663888113	-0.603966638881127
203	5.3	6.05573464902625	-0.75573464902625
204	5.41	6.05573464902625	-0.64573464902625
205	5.79	5.99161865409881	-0.201618654098812
206	5.79	6.05573464902625	-0.26573464902625
207	5.62	5.99161865409881	-0.371618654098812
208	5.52	5.99161865409881	-0.471618654098812
209	5.69	5.99161865409881	-0.301618654098811
210	5.53	5.86338666424393	-0.333386664243934
211	5.6	5.73515467438906	-0.135154674389057
212	5.56	5.73515467438906	-0.175154674389058
213	5.63	5.73515467438906	-0.105154674389057
214	5.58	5.86338666424393	-0.283386664243934
215	5.52	5.92750265917137	-0.407502659171373
216	5.28	5.86338666424393	-0.583386664243934
217	5.16	5.73515467438906	-0.575154674389057
218	5.16	5.73515467438906	-0.575154674389057
219	5.08	5.86338666424393	-0.783386664243934
220	5.21	6.18396663888113	-0.973966638881127
221	5.38	6.24808263380857	-0.868082633808566
222	5.33	6.37631462366344	-1.04631462366344
223	5.35	6.37631462366344	-1.02631462366344
224	5.15	6.44043061859088	-1.29043061859088
225	5.14	6.44043061859088	-1.30043061859088
226	4.89	6.37631462366344	-1.48631462366344
227	4.75	6.44043061859088	-1.69043061859088
228	4.97	6.50454661351832	-1.53454661351832
229	5.08	6.6327786033732	-1.5527786033732
230	5.15	6.6327786033732	-1.4827786033732
231	5.37	6.6327786033732	-1.2627786033732
232	5.37	6.6327786033732	-1.2627786033732
233	5.38	6.6327786033732	-1.2527786033732
234	5.24	6.69689459830064	-1.45689459830064
235	5.09	6.82512658815551	-1.73512658815551
236	4.8	6.88924258308295	-2.08924258308295
237	4.6	6.88924258308295	-2.28924258308295
238	4.66	6.95335857801039	-2.29335857801039
239	4.64	6.95335857801039	-2.31335857801039
240	4.46	6.95335857801039	-2.49335857801039
241	4.28	6.88924258308295	-2.60924258308295
242	4.11	6.88924258308295	-2.77924258308295
243	4.15	6.95335857801039	-2.80335857801039
244	4.29	7.01747457293783	-2.72747457293783
245	3.95	7.01747457293783	-3.06747457293783
246	3.74	7.08159056786527	-3.34159056786527
247	4.06	7.1457065627927	-3.08570656279271
248	4.22	7.1457065627927	-2.92570656279271
249	4.25	7.08159056786527	-2.83159056786527
250	4.31	6.82512658815551	-2.51512658815551
251	4.43	6.76101059322808	-2.33101059322808
252	4.38	6.88924258308295	-2.50924258308295
253	4.26	7.1457065627927	-2.88570656279271
254	4.26	7.33805454757502	-3.07805454757502
255	4.07	7.33805454757502	-3.26805454757502
256	4.26	7.20982255772014	-2.94982255772015
257	4.4	7.01747457293783	-2.61747457293783
258	4.46	7.01747457293783	-2.55747457293783
259	4.34	7.01747457293783	-2.67747457293783
260	4.18	7.08159056786527	-2.90159056786527
261	4.11	7.08159056786527	-2.97159056786527
262	3.98	7.1457065627927	-3.16570656279271
263	3.85	7.20982255772014	-3.35982255772015
264	3.66	7.20982255772014	-3.54982255772014
265	3.59	7.20982255772014	-3.61982255772015
266	3.57	7.20982255772014	-3.63982255772015
267	3.76	7.20982255772014	-3.44982255772015
268	3.6	7.1457065627927	-3.54570656279271
269	3.43	7.08159056786527	-3.65159056786527
270	3.26	7.08159056786527	-3.82159056786527
271	3.3	7.08159056786527	-3.78159056786527
272	3.31	7.1457065627927	-3.83570656279271
273	3.14	7.1457065627927	-4.00570656279271
274	3.3	7.20982255772014	-3.90982255772015
275	3.49	7.20982255772014	-3.71982255772014
276	3.39	7.08159056786527	-3.69159056786527
277	3.37	6.95335857801039	-3.58335857801039
278	3.54	6.82512658815551	-3.28512658815551
279	3.7	6.82512658815551	-3.12512658815551
280	3.96	6.82512658815551	-2.86512658815551
281	4.03	6.82512658815551	-2.79512658815551
282	4.02	6.76101059322808	-2.74101059322808
283	4.04	6.76101059322808	-2.72101059322807
284	3.92	6.69689459830064	-2.77689459830064
285	3.79	6.69689459830064	-2.90689459830064
286	3.83	6.82512658815551	-2.99512658815551

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 12.42 & 8.6203744461238 & 3.7996255538762 \tabularnewline
2 & 12.37 & 8.68449044105123 & 3.68550955894877 \tabularnewline
3 & 12.53 & 8.68449044105123 & 3.84550955894877 \tabularnewline
4 & 12.02 & 8.74860643597867 & 3.27139356402133 \tabularnewline
5 & 11.7 & 8.74860643597867 & 2.95139356402133 \tabularnewline
6 & 11.67 & 8.68449044105123 & 2.98550955894877 \tabularnewline
7 & 11.51 & 8.68449044105123 & 2.82550955894877 \tabularnewline
8 & 11.5 & 8.6203744461238 & 2.8796255538762 \tabularnewline
9 & 11.77 & 8.6203744461238 & 3.1496255538762 \tabularnewline
10 & 11.75 & 8.6203744461238 & 3.1296255538762 \tabularnewline
11 & 11.87 & 8.6203744461238 & 3.2496255538762 \tabularnewline
12 & 12.18 & 8.6203744461238 & 3.5596255538762 \tabularnewline
13 & 12.29 & 8.6203744461238 & 3.6696255538762 \tabularnewline
14 & 12.41 & 8.68449044105123 & 3.72550955894877 \tabularnewline
15 & 12.55 & 8.68449044105123 & 3.86550955894877 \tabularnewline
16 & 12.39 & 8.6203744461238 & 3.76962555387621 \tabularnewline
17 & 12.39 & 8.55625845119636 & 3.83374154880364 \tabularnewline
18 & 12.4 & 8.49214245626892 & 3.90785754373108 \tabularnewline
19 & 12.33 & 8.49214245626892 & 3.83785754373108 \tabularnewline
20 & 12.16 & 8.49214245626892 & 3.66785754373108 \tabularnewline
21 & 12.12 & 8.36391046641404 & 3.75608953358596 \tabularnewline
22 & 12.13 & 8.23567847655916 & 3.89432152344084 \tabularnewline
23 & 11.9 & 8.17156248163172 & 3.72843751836828 \tabularnewline
24 & 11.84 & 8.10744648670429 & 3.73255351329571 \tabularnewline
25 & 11.75 & 8.04333049177685 & 3.70666950822315 \tabularnewline
26 & 11.73 & 8.04333049177685 & 3.68666950822315 \tabularnewline
27 & 11.73 & 8.04333049177685 & 3.68666950822315 \tabularnewline
28 & 11.64 & 8.04333049177685 & 3.59666950822315 \tabularnewline
29 & 11.45 & 8.04333049177685 & 3.40666950822315 \tabularnewline
30 & 10.78 & 8.10744648670429 & 2.67255351329571 \tabularnewline
31 & 10.67 & 8.10744648670429 & 2.56255351329571 \tabularnewline
32 & 10.8 & 8.17156248163172 & 2.62843751836828 \tabularnewline
33 & 10.76 & 8.17156248163172 & 2.58843751836828 \tabularnewline
34 & 10.38 & 8.17156248163172 & 2.20843751836828 \tabularnewline
35 & 9.99 & 8.17156248163172 & 1.81843751836828 \tabularnewline
36 & 9.94 & 8.17156248163172 & 1.76843751836828 \tabularnewline
37 & 10.05 & 8.10744648670429 & 1.94255351329571 \tabularnewline
38 & 9.99 & 8.10744648670429 & 1.88255351329571 \tabularnewline
39 & 9.48 & 8.10744648670429 & 1.37255351329571 \tabularnewline
40 & 8.29 & 8.10744648670429 & 0.182553513295713 \tabularnewline
41 & 8.48 & 8.17156248163172 & 0.308437518368276 \tabularnewline
42 & 8.58 & 8.17156248163172 & 0.408437518368276 \tabularnewline
43 & 8.23 & 8.17156248163172 & 0.0584375183682762 \tabularnewline
44 & 7.92 & 8.10744648670429 & -0.187446486704286 \tabularnewline
45 & 8.04 & 8.10744648670429 & -0.0674464867042867 \tabularnewline
46 & 8.09 & 8.10744648670429 & -0.0174464867042859 \tabularnewline
47 & 8.09 & 8.04333049177685 & 0.0466695082231524 \tabularnewline
48 & 8.27 & 8.04333049177685 & 0.226669508223152 \tabularnewline
49 & 8.26 & 7.9792144968494 & 0.280785503150591 \tabularnewline
50 & 8.2 & 7.91509850192197 & 0.28490149807803 \tabularnewline
51 & 8.11 & 7.91509850192197 & 0.19490149807803 \tabularnewline
52 & 8.02 & 7.85098250699453 & 0.169017493005468 \tabularnewline
53 & 8.05 & 7.85098250699453 & 0.19901749300547 \tabularnewline
54 & 8.1 & 7.78686651206709 & 0.313133487932907 \tabularnewline
55 & 8.07 & 7.72275051713965 & 0.347249482860346 \tabularnewline
56 & 7.96 & 7.72275051713965 & 0.237249482860346 \tabularnewline
57 & 8.18 & 7.65863452221222 & 0.521365477787784 \tabularnewline
58 & 8.64 & 7.59451852728478 & 1.04548147271522 \tabularnewline
59 & 8.35 & 7.53040253235734 & 0.819597467642662 \tabularnewline
60 & 8.27 & 7.40217054250246 & 0.867829457497538 \tabularnewline
61 & 8.16 & 7.33805454757502 & 0.821945452424977 \tabularnewline
62 & 7.78 & 7.27393855264758 & 0.506061447352417 \tabularnewline
63 & 7.67 & 7.1457065627927 & 0.524293437207293 \tabularnewline
64 & 7.79 & 7.01747457293783 & 0.77252542706217 \tabularnewline
65 & 7.93 & 6.95335857801039 & 0.97664142198961 \tabularnewline
66 & 7.95 & 6.88924258308295 & 1.06075741691705 \tabularnewline
67 & 8.09 & 6.76101059322808 & 1.32898940677192 \tabularnewline
68 & 8.2 & 6.69689459830064 & 1.50310540169936 \tabularnewline
69 & 8.24 & 6.6327786033732 & 1.6072213966268 \tabularnewline
70 & 8.09 & 6.56866260844576 & 1.52133739155424 \tabularnewline
71 & 8.05 & 6.50454661351832 & 1.54545338648168 \tabularnewline
72 & 8.14 & 6.44043061859088 & 1.69956938140912 \tabularnewline
73 & 8.17 & 6.37631462366344 & 1.79368537633656 \tabularnewline
74 & 8.3 & 6.37631462366344 & 1.92368537633656 \tabularnewline
75 & 8.51 & 6.312198628736 & 2.197801371264 \tabularnewline
76 & 8.42 & 6.24808263380857 & 2.17191736619143 \tabularnewline
77 & 8.36 & 6.18396663888113 & 2.17603336111887 \tabularnewline
78 & 8.35 & 6.11985064395369 & 2.23014935604631 \tabularnewline
79 & 8.39 & 6.05573464902625 & 2.33426535097375 \tabularnewline
80 & 8.36 & 5.99161865409881 & 2.36838134590119 \tabularnewline
81 & 8.43 & 5.99161865409881 & 2.43838134590119 \tabularnewline
82 & 8.68 & 5.92750265917137 & 2.75249734082863 \tabularnewline
83 & 9.1 & 5.92750265917137 & 3.17249734082863 \tabularnewline
84 & 9.4 & 5.92750265917137 & 3.47249734082863 \tabularnewline
85 & 9.8 & 5.86338666424393 & 3.93661333575607 \tabularnewline
86 & 10.4 & 5.86338666424393 & 4.53661333575607 \tabularnewline
87 & 10.26 & 5.7992706693165 & 4.4607293306835 \tabularnewline
88 & 10 & 5.7992706693165 & 4.2007293306835 \tabularnewline
89 & 9.82 & 5.7992706693165 & 4.0207293306835 \tabularnewline
90 & 9.75 & 5.7992706693165 & 3.9507293306835 \tabularnewline
91 & 9.56 & 5.7992706693165 & 3.76072933068351 \tabularnewline
92 & 10.01 & 5.7992706693165 & 4.2107293306835 \tabularnewline
93 & 10.3 & 5.7992706693165 & 4.5007293306835 \tabularnewline
94 & 10.22 & 5.73515467438906 & 4.48484532561094 \tabularnewline
95 & 10.01 & 5.7992706693165 & 4.2107293306835 \tabularnewline
96 & 9.95 & 5.7992706693165 & 4.1507293306835 \tabularnewline
97 & 9.87 & 5.7992706693165 & 4.0707293306835 \tabularnewline
98 & 9.25 & 5.7992706693165 & 3.4507293306835 \tabularnewline
99 & 9.23 & 5.86338666424393 & 3.36661333575607 \tabularnewline
100 & 9.17 & 5.86338666424393 & 3.30661333575607 \tabularnewline
101 & 9.14 & 5.92750265917137 & 3.21249734082863 \tabularnewline
102 & 9.26 & 5.92750265917137 & 3.33249734082863 \tabularnewline
103 & 9.47 & 5.99161865409881 & 3.47838134590119 \tabularnewline
104 & 9.41 & 5.99161865409881 & 3.41838134590119 \tabularnewline
105 & 9.22 & 6.05573464902625 & 3.16426535097375 \tabularnewline
106 & 9.13 & 6.11985064395369 & 3.01014935604631 \tabularnewline
107 & 9.15 & 6.18396663888113 & 2.96603336111887 \tabularnewline
108 & 9.13 & 6.18396663888113 & 2.94603336111887 \tabularnewline
109 & 8.72 & 6.24808263380857 & 2.47191736619143 \tabularnewline
110 & 8.72 & 6.312198628736 & 2.407801371264 \tabularnewline
111 & 8.81 & 6.312198628736 & 2.497801371264 \tabularnewline
112 & 8.86 & 6.44043061859088 & 2.41956938140912 \tabularnewline
113 & 8.83 & 6.50454661351832 & 2.32545338648168 \tabularnewline
114 & 8.92 & 6.56866260844576 & 2.35133739155424 \tabularnewline
115 & 8.91 & 6.69689459830064 & 2.21310540169936 \tabularnewline
116 & 9.03 & 6.76101059322808 & 2.26898940677192 \tabularnewline
117 & 8.77 & 6.88924258308295 & 1.88075741691705 \tabularnewline
118 & 8.28 & 6.95335857801039 & 1.32664142198961 \tabularnewline
119 & 8.04 & 7.08159056786527 & 0.95840943213473 \tabularnewline
120 & 7.95 & 7.1457065627927 & 0.804293437207294 \tabularnewline
121 & 7.57 & 7.27393855264758 & 0.296061447352417 \tabularnewline
122 & 7.65 & 7.40217054250246 & 0.247829457497539 \tabularnewline
123 & 7.37 & 7.4662865374299 & -0.0962865374298996 \tabularnewline
124 & 7.44 & 7.59451852728478 & -0.154518527284776 \tabularnewline
125 & 7.43 & 7.65863452221222 & -0.228634522212216 \tabularnewline
126 & 7.23 & 7.78686651206709 & -0.556866512067092 \tabularnewline
127 & 7.05 & 7.85098250699453 & -0.800982506994531 \tabularnewline
128 & 7.08 & 7.85098250699453 & -0.770982506994531 \tabularnewline
129 & 7.22 & 7.91509850192197 & -0.69509850192197 \tabularnewline
130 & 7.19 & 7.9792144968494 & -0.789214496849408 \tabularnewline
131 & 6.92 & 8.04333049177685 & -1.12333049177685 \tabularnewline
132 & 6.59 & 8.04333049177685 & -1.45333049177685 \tabularnewline
133 & 6.52 & 7.9792144968494 & -1.45921449684941 \tabularnewline
134 & 6.7 & 7.9792144968494 & -1.27921449684941 \tabularnewline
135 & 7.14 & 7.9792144968494 & -0.83921449684941 \tabularnewline
136 & 7.29 & 7.9792144968494 & -0.689214496849409 \tabularnewline
137 & 7.54 & 7.91509850192197 & -0.375098501921969 \tabularnewline
138 & 7.98 & 7.91509850192197 & 0.0649014980780309 \tabularnewline
139 & 7.95 & 7.91509850192197 & 0.0349014980780307 \tabularnewline
140 & 8.21 & 7.91509850192197 & 0.294901498078031 \tabularnewline
141 & 8.58 & 7.85098250699453 & 0.72901749300547 \tabularnewline
142 & 8.45 & 7.85098250699453 & 0.599017493005468 \tabularnewline
143 & 8.35 & 7.85098250699453 & 0.499017493005469 \tabularnewline
144 & 8.3 & 7.85098250699453 & 0.44901749300547 \tabularnewline
145 & 8.45 & 7.85098250699453 & 0.599017493005468 \tabularnewline
146 & 8.27 & 7.91509850192197 & 0.35490149807803 \tabularnewline
147 & 8.16 & 7.91509850192197 & 0.244901498078031 \tabularnewline
148 & 7.85 & 7.9792144968494 & -0.129214496849409 \tabularnewline
149 & 7.59 & 7.9792144968494 & -0.389214496849409 \tabularnewline
150 & 7.33 & 8.04333049177685 & -0.713330491776847 \tabularnewline
151 & 7.33 & 8.04333049177685 & -0.713330491776847 \tabularnewline
152 & 7.19 & 8.04333049177685 & -0.853330491776847 \tabularnewline
153 & 7.04 & 7.9792144968494 & -0.939214496849409 \tabularnewline
154 & 7.06 & 7.91509850192197 & -0.85509850192197 \tabularnewline
155 & 6.8 & 7.91509850192197 & -1.11509850192197 \tabularnewline
156 & 6.7 & 7.85098250699453 & -1.15098250699453 \tabularnewline
157 & 6.44 & 7.78686651206709 & -1.34686651206709 \tabularnewline
158 & 6.64 & 7.72275051713965 & -1.08275051713965 \tabularnewline
159 & 6.84 & 7.72275051713965 & -0.882750517139654 \tabularnewline
160 & 6.67 & 7.65863452221222 & -0.988634522212216 \tabularnewline
161 & 6.69 & 7.59451852728478 & -0.904518527284776 \tabularnewline
162 & 6.78 & 7.59451852728478 & -0.814518527284776 \tabularnewline
163 & 6.78 & 7.59451852728478 & -0.814518527284776 \tabularnewline
164 & 6.62 & 7.53040253235734 & -0.910402532357338 \tabularnewline
165 & 6.45 & 7.53040253235734 & -1.08040253235734 \tabularnewline
166 & 6.1 & 7.53040253235734 & -1.43040253235734 \tabularnewline
167 & 6 & 7.53040253235734 & -1.53040253235734 \tabularnewline
168 & 5.9 & 7.59451852728478 & -1.69451852728478 \tabularnewline
169 & 5.89 & 7.65863452221222 & -1.76863452221222 \tabularnewline
170 & 5.65 & 7.65863452221222 & -2.00863452221222 \tabularnewline
171 & 5.85 & 7.65863452221222 & -1.80863452221222 \tabularnewline
172 & 6.02 & 7.65863452221222 & -1.63863452221222 \tabularnewline
173 & 5.9 & 7.65863452221222 & -1.75863452221222 \tabularnewline
174 & 5.83 & 7.72275051713965 & -1.89275051713965 \tabularnewline
175 & 5.64 & 7.72275051713965 & -2.08275051713965 \tabularnewline
176 & 5.75 & 7.72275051713965 & -1.97275051713965 \tabularnewline
177 & 5.69 & 7.78686651206709 & -2.09686651206709 \tabularnewline
178 & 5.69 & 7.78686651206709 & -2.09686651206709 \tabularnewline
179 & 5.68 & 7.72275051713965 & -2.04275051713965 \tabularnewline
180 & 5.45 & 7.72275051713965 & -2.27275051713965 \tabularnewline
181 & 5.22 & 7.65863452221222 & -2.43863452221222 \tabularnewline
182 & 5.11 & 7.72275051713965 & -2.61275051713965 \tabularnewline
183 & 5.03 & 7.72275051713965 & -2.69275051713965 \tabularnewline
184 & 5.03 & 7.59451852728478 & -2.56451852728478 \tabularnewline
185 & 5.09 & 7.53040253235734 & -2.44040253235734 \tabularnewline
186 & 4.96 & 7.53040253235734 & -2.57040253235734 \tabularnewline
187 & 4.88 & 7.53040253235734 & -2.65040253235734 \tabularnewline
188 & 4.66 & 7.4662865374299 & -2.8062865374299 \tabularnewline
189 & 4.34 & 7.4662865374299 & -3.1262865374299 \tabularnewline
190 & 4.28 & 7.40217054250246 & -3.12217054250246 \tabularnewline
191 & 4.33 & 7.33805454757502 & -3.00805454757502 \tabularnewline
192 & 4.09 & 7.27393855264758 & -3.18393855264758 \tabularnewline
193 & 3.9 & 7.1457065627927 & -3.24570656279271 \tabularnewline
194 & 4.04 & 7.01747457293783 & -2.97747457293783 \tabularnewline
195 & 4.26 & 6.88924258308295 & -2.62924258308295 \tabularnewline
196 & 4.11 & 6.76101059322808 & -2.65101059322807 \tabularnewline
197 & 4.29 & 6.69689459830064 & -2.40689459830064 \tabularnewline
198 & 4.64 & 6.56866260844576 & -1.92866260844576 \tabularnewline
199 & 4.94 & 6.44043061859088 & -1.50043061859088 \tabularnewline
200 & 5.18 & 6.312198628736 & -1.13219862873601 \tabularnewline
201 & 5.34 & 6.18396663888113 & -0.843966638881127 \tabularnewline
202 & 5.58 & 6.18396663888113 & -0.603966638881127 \tabularnewline
203 & 5.3 & 6.05573464902625 & -0.75573464902625 \tabularnewline
204 & 5.41 & 6.05573464902625 & -0.64573464902625 \tabularnewline
205 & 5.79 & 5.99161865409881 & -0.201618654098812 \tabularnewline
206 & 5.79 & 6.05573464902625 & -0.26573464902625 \tabularnewline
207 & 5.62 & 5.99161865409881 & -0.371618654098812 \tabularnewline
208 & 5.52 & 5.99161865409881 & -0.471618654098812 \tabularnewline
209 & 5.69 & 5.99161865409881 & -0.301618654098811 \tabularnewline
210 & 5.53 & 5.86338666424393 & -0.333386664243934 \tabularnewline
211 & 5.6 & 5.73515467438906 & -0.135154674389057 \tabularnewline
212 & 5.56 & 5.73515467438906 & -0.175154674389058 \tabularnewline
213 & 5.63 & 5.73515467438906 & -0.105154674389057 \tabularnewline
214 & 5.58 & 5.86338666424393 & -0.283386664243934 \tabularnewline
215 & 5.52 & 5.92750265917137 & -0.407502659171373 \tabularnewline
216 & 5.28 & 5.86338666424393 & -0.583386664243934 \tabularnewline
217 & 5.16 & 5.73515467438906 & -0.575154674389057 \tabularnewline
218 & 5.16 & 5.73515467438906 & -0.575154674389057 \tabularnewline
219 & 5.08 & 5.86338666424393 & -0.783386664243934 \tabularnewline
220 & 5.21 & 6.18396663888113 & -0.973966638881127 \tabularnewline
221 & 5.38 & 6.24808263380857 & -0.868082633808566 \tabularnewline
222 & 5.33 & 6.37631462366344 & -1.04631462366344 \tabularnewline
223 & 5.35 & 6.37631462366344 & -1.02631462366344 \tabularnewline
224 & 5.15 & 6.44043061859088 & -1.29043061859088 \tabularnewline
225 & 5.14 & 6.44043061859088 & -1.30043061859088 \tabularnewline
226 & 4.89 & 6.37631462366344 & -1.48631462366344 \tabularnewline
227 & 4.75 & 6.44043061859088 & -1.69043061859088 \tabularnewline
228 & 4.97 & 6.50454661351832 & -1.53454661351832 \tabularnewline
229 & 5.08 & 6.6327786033732 & -1.5527786033732 \tabularnewline
230 & 5.15 & 6.6327786033732 & -1.4827786033732 \tabularnewline
231 & 5.37 & 6.6327786033732 & -1.2627786033732 \tabularnewline
232 & 5.37 & 6.6327786033732 & -1.2627786033732 \tabularnewline
233 & 5.38 & 6.6327786033732 & -1.2527786033732 \tabularnewline
234 & 5.24 & 6.69689459830064 & -1.45689459830064 \tabularnewline
235 & 5.09 & 6.82512658815551 & -1.73512658815551 \tabularnewline
236 & 4.8 & 6.88924258308295 & -2.08924258308295 \tabularnewline
237 & 4.6 & 6.88924258308295 & -2.28924258308295 \tabularnewline
238 & 4.66 & 6.95335857801039 & -2.29335857801039 \tabularnewline
239 & 4.64 & 6.95335857801039 & -2.31335857801039 \tabularnewline
240 & 4.46 & 6.95335857801039 & -2.49335857801039 \tabularnewline
241 & 4.28 & 6.88924258308295 & -2.60924258308295 \tabularnewline
242 & 4.11 & 6.88924258308295 & -2.77924258308295 \tabularnewline
243 & 4.15 & 6.95335857801039 & -2.80335857801039 \tabularnewline
244 & 4.29 & 7.01747457293783 & -2.72747457293783 \tabularnewline
245 & 3.95 & 7.01747457293783 & -3.06747457293783 \tabularnewline
246 & 3.74 & 7.08159056786527 & -3.34159056786527 \tabularnewline
247 & 4.06 & 7.1457065627927 & -3.08570656279271 \tabularnewline
248 & 4.22 & 7.1457065627927 & -2.92570656279271 \tabularnewline
249 & 4.25 & 7.08159056786527 & -2.83159056786527 \tabularnewline
250 & 4.31 & 6.82512658815551 & -2.51512658815551 \tabularnewline
251 & 4.43 & 6.76101059322808 & -2.33101059322808 \tabularnewline
252 & 4.38 & 6.88924258308295 & -2.50924258308295 \tabularnewline
253 & 4.26 & 7.1457065627927 & -2.88570656279271 \tabularnewline
254 & 4.26 & 7.33805454757502 & -3.07805454757502 \tabularnewline
255 & 4.07 & 7.33805454757502 & -3.26805454757502 \tabularnewline
256 & 4.26 & 7.20982255772014 & -2.94982255772015 \tabularnewline
257 & 4.4 & 7.01747457293783 & -2.61747457293783 \tabularnewline
258 & 4.46 & 7.01747457293783 & -2.55747457293783 \tabularnewline
259 & 4.34 & 7.01747457293783 & -2.67747457293783 \tabularnewline
260 & 4.18 & 7.08159056786527 & -2.90159056786527 \tabularnewline
261 & 4.11 & 7.08159056786527 & -2.97159056786527 \tabularnewline
262 & 3.98 & 7.1457065627927 & -3.16570656279271 \tabularnewline
263 & 3.85 & 7.20982255772014 & -3.35982255772015 \tabularnewline
264 & 3.66 & 7.20982255772014 & -3.54982255772014 \tabularnewline
265 & 3.59 & 7.20982255772014 & -3.61982255772015 \tabularnewline
266 & 3.57 & 7.20982255772014 & -3.63982255772015 \tabularnewline
267 & 3.76 & 7.20982255772014 & -3.44982255772015 \tabularnewline
268 & 3.6 & 7.1457065627927 & -3.54570656279271 \tabularnewline
269 & 3.43 & 7.08159056786527 & -3.65159056786527 \tabularnewline
270 & 3.26 & 7.08159056786527 & -3.82159056786527 \tabularnewline
271 & 3.3 & 7.08159056786527 & -3.78159056786527 \tabularnewline
272 & 3.31 & 7.1457065627927 & -3.83570656279271 \tabularnewline
273 & 3.14 & 7.1457065627927 & -4.00570656279271 \tabularnewline
274 & 3.3 & 7.20982255772014 & -3.90982255772015 \tabularnewline
275 & 3.49 & 7.20982255772014 & -3.71982255772014 \tabularnewline
276 & 3.39 & 7.08159056786527 & -3.69159056786527 \tabularnewline
277 & 3.37 & 6.95335857801039 & -3.58335857801039 \tabularnewline
278 & 3.54 & 6.82512658815551 & -3.28512658815551 \tabularnewline
279 & 3.7 & 6.82512658815551 & -3.12512658815551 \tabularnewline
280 & 3.96 & 6.82512658815551 & -2.86512658815551 \tabularnewline
281 & 4.03 & 6.82512658815551 & -2.79512658815551 \tabularnewline
282 & 4.02 & 6.76101059322808 & -2.74101059322808 \tabularnewline
283 & 4.04 & 6.76101059322808 & -2.72101059322807 \tabularnewline
284 & 3.92 & 6.69689459830064 & -2.77689459830064 \tabularnewline
285 & 3.79 & 6.69689459830064 & -2.90689459830064 \tabularnewline
286 & 3.83 & 6.82512658815551 & -2.99512658815551 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114027&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]12.42[/C][C]8.6203744461238[/C][C]3.7996255538762[/C][/ROW]
[ROW][C]2[/C][C]12.37[/C][C]8.68449044105123[/C][C]3.68550955894877[/C][/ROW]
[ROW][C]3[/C][C]12.53[/C][C]8.68449044105123[/C][C]3.84550955894877[/C][/ROW]
[ROW][C]4[/C][C]12.02[/C][C]8.74860643597867[/C][C]3.27139356402133[/C][/ROW]
[ROW][C]5[/C][C]11.7[/C][C]8.74860643597867[/C][C]2.95139356402133[/C][/ROW]
[ROW][C]6[/C][C]11.67[/C][C]8.68449044105123[/C][C]2.98550955894877[/C][/ROW]
[ROW][C]7[/C][C]11.51[/C][C]8.68449044105123[/C][C]2.82550955894877[/C][/ROW]
[ROW][C]8[/C][C]11.5[/C][C]8.6203744461238[/C][C]2.8796255538762[/C][/ROW]
[ROW][C]9[/C][C]11.77[/C][C]8.6203744461238[/C][C]3.1496255538762[/C][/ROW]
[ROW][C]10[/C][C]11.75[/C][C]8.6203744461238[/C][C]3.1296255538762[/C][/ROW]
[ROW][C]11[/C][C]11.87[/C][C]8.6203744461238[/C][C]3.2496255538762[/C][/ROW]
[ROW][C]12[/C][C]12.18[/C][C]8.6203744461238[/C][C]3.5596255538762[/C][/ROW]
[ROW][C]13[/C][C]12.29[/C][C]8.6203744461238[/C][C]3.6696255538762[/C][/ROW]
[ROW][C]14[/C][C]12.41[/C][C]8.68449044105123[/C][C]3.72550955894877[/C][/ROW]
[ROW][C]15[/C][C]12.55[/C][C]8.68449044105123[/C][C]3.86550955894877[/C][/ROW]
[ROW][C]16[/C][C]12.39[/C][C]8.6203744461238[/C][C]3.76962555387621[/C][/ROW]
[ROW][C]17[/C][C]12.39[/C][C]8.55625845119636[/C][C]3.83374154880364[/C][/ROW]
[ROW][C]18[/C][C]12.4[/C][C]8.49214245626892[/C][C]3.90785754373108[/C][/ROW]
[ROW][C]19[/C][C]12.33[/C][C]8.49214245626892[/C][C]3.83785754373108[/C][/ROW]
[ROW][C]20[/C][C]12.16[/C][C]8.49214245626892[/C][C]3.66785754373108[/C][/ROW]
[ROW][C]21[/C][C]12.12[/C][C]8.36391046641404[/C][C]3.75608953358596[/C][/ROW]
[ROW][C]22[/C][C]12.13[/C][C]8.23567847655916[/C][C]3.89432152344084[/C][/ROW]
[ROW][C]23[/C][C]11.9[/C][C]8.17156248163172[/C][C]3.72843751836828[/C][/ROW]
[ROW][C]24[/C][C]11.84[/C][C]8.10744648670429[/C][C]3.73255351329571[/C][/ROW]
[ROW][C]25[/C][C]11.75[/C][C]8.04333049177685[/C][C]3.70666950822315[/C][/ROW]
[ROW][C]26[/C][C]11.73[/C][C]8.04333049177685[/C][C]3.68666950822315[/C][/ROW]
[ROW][C]27[/C][C]11.73[/C][C]8.04333049177685[/C][C]3.68666950822315[/C][/ROW]
[ROW][C]28[/C][C]11.64[/C][C]8.04333049177685[/C][C]3.59666950822315[/C][/ROW]
[ROW][C]29[/C][C]11.45[/C][C]8.04333049177685[/C][C]3.40666950822315[/C][/ROW]
[ROW][C]30[/C][C]10.78[/C][C]8.10744648670429[/C][C]2.67255351329571[/C][/ROW]
[ROW][C]31[/C][C]10.67[/C][C]8.10744648670429[/C][C]2.56255351329571[/C][/ROW]
[ROW][C]32[/C][C]10.8[/C][C]8.17156248163172[/C][C]2.62843751836828[/C][/ROW]
[ROW][C]33[/C][C]10.76[/C][C]8.17156248163172[/C][C]2.58843751836828[/C][/ROW]
[ROW][C]34[/C][C]10.38[/C][C]8.17156248163172[/C][C]2.20843751836828[/C][/ROW]
[ROW][C]35[/C][C]9.99[/C][C]8.17156248163172[/C][C]1.81843751836828[/C][/ROW]
[ROW][C]36[/C][C]9.94[/C][C]8.17156248163172[/C][C]1.76843751836828[/C][/ROW]
[ROW][C]37[/C][C]10.05[/C][C]8.10744648670429[/C][C]1.94255351329571[/C][/ROW]
[ROW][C]38[/C][C]9.99[/C][C]8.10744648670429[/C][C]1.88255351329571[/C][/ROW]
[ROW][C]39[/C][C]9.48[/C][C]8.10744648670429[/C][C]1.37255351329571[/C][/ROW]
[ROW][C]40[/C][C]8.29[/C][C]8.10744648670429[/C][C]0.182553513295713[/C][/ROW]
[ROW][C]41[/C][C]8.48[/C][C]8.17156248163172[/C][C]0.308437518368276[/C][/ROW]
[ROW][C]42[/C][C]8.58[/C][C]8.17156248163172[/C][C]0.408437518368276[/C][/ROW]
[ROW][C]43[/C][C]8.23[/C][C]8.17156248163172[/C][C]0.0584375183682762[/C][/ROW]
[ROW][C]44[/C][C]7.92[/C][C]8.10744648670429[/C][C]-0.187446486704286[/C][/ROW]
[ROW][C]45[/C][C]8.04[/C][C]8.10744648670429[/C][C]-0.0674464867042867[/C][/ROW]
[ROW][C]46[/C][C]8.09[/C][C]8.10744648670429[/C][C]-0.0174464867042859[/C][/ROW]
[ROW][C]47[/C][C]8.09[/C][C]8.04333049177685[/C][C]0.0466695082231524[/C][/ROW]
[ROW][C]48[/C][C]8.27[/C][C]8.04333049177685[/C][C]0.226669508223152[/C][/ROW]
[ROW][C]49[/C][C]8.26[/C][C]7.9792144968494[/C][C]0.280785503150591[/C][/ROW]
[ROW][C]50[/C][C]8.2[/C][C]7.91509850192197[/C][C]0.28490149807803[/C][/ROW]
[ROW][C]51[/C][C]8.11[/C][C]7.91509850192197[/C][C]0.19490149807803[/C][/ROW]
[ROW][C]52[/C][C]8.02[/C][C]7.85098250699453[/C][C]0.169017493005468[/C][/ROW]
[ROW][C]53[/C][C]8.05[/C][C]7.85098250699453[/C][C]0.19901749300547[/C][/ROW]
[ROW][C]54[/C][C]8.1[/C][C]7.78686651206709[/C][C]0.313133487932907[/C][/ROW]
[ROW][C]55[/C][C]8.07[/C][C]7.72275051713965[/C][C]0.347249482860346[/C][/ROW]
[ROW][C]56[/C][C]7.96[/C][C]7.72275051713965[/C][C]0.237249482860346[/C][/ROW]
[ROW][C]57[/C][C]8.18[/C][C]7.65863452221222[/C][C]0.521365477787784[/C][/ROW]
[ROW][C]58[/C][C]8.64[/C][C]7.59451852728478[/C][C]1.04548147271522[/C][/ROW]
[ROW][C]59[/C][C]8.35[/C][C]7.53040253235734[/C][C]0.819597467642662[/C][/ROW]
[ROW][C]60[/C][C]8.27[/C][C]7.40217054250246[/C][C]0.867829457497538[/C][/ROW]
[ROW][C]61[/C][C]8.16[/C][C]7.33805454757502[/C][C]0.821945452424977[/C][/ROW]
[ROW][C]62[/C][C]7.78[/C][C]7.27393855264758[/C][C]0.506061447352417[/C][/ROW]
[ROW][C]63[/C][C]7.67[/C][C]7.1457065627927[/C][C]0.524293437207293[/C][/ROW]
[ROW][C]64[/C][C]7.79[/C][C]7.01747457293783[/C][C]0.77252542706217[/C][/ROW]
[ROW][C]65[/C][C]7.93[/C][C]6.95335857801039[/C][C]0.97664142198961[/C][/ROW]
[ROW][C]66[/C][C]7.95[/C][C]6.88924258308295[/C][C]1.06075741691705[/C][/ROW]
[ROW][C]67[/C][C]8.09[/C][C]6.76101059322808[/C][C]1.32898940677192[/C][/ROW]
[ROW][C]68[/C][C]8.2[/C][C]6.69689459830064[/C][C]1.50310540169936[/C][/ROW]
[ROW][C]69[/C][C]8.24[/C][C]6.6327786033732[/C][C]1.6072213966268[/C][/ROW]
[ROW][C]70[/C][C]8.09[/C][C]6.56866260844576[/C][C]1.52133739155424[/C][/ROW]
[ROW][C]71[/C][C]8.05[/C][C]6.50454661351832[/C][C]1.54545338648168[/C][/ROW]
[ROW][C]72[/C][C]8.14[/C][C]6.44043061859088[/C][C]1.69956938140912[/C][/ROW]
[ROW][C]73[/C][C]8.17[/C][C]6.37631462366344[/C][C]1.79368537633656[/C][/ROW]
[ROW][C]74[/C][C]8.3[/C][C]6.37631462366344[/C][C]1.92368537633656[/C][/ROW]
[ROW][C]75[/C][C]8.51[/C][C]6.312198628736[/C][C]2.197801371264[/C][/ROW]
[ROW][C]76[/C][C]8.42[/C][C]6.24808263380857[/C][C]2.17191736619143[/C][/ROW]
[ROW][C]77[/C][C]8.36[/C][C]6.18396663888113[/C][C]2.17603336111887[/C][/ROW]
[ROW][C]78[/C][C]8.35[/C][C]6.11985064395369[/C][C]2.23014935604631[/C][/ROW]
[ROW][C]79[/C][C]8.39[/C][C]6.05573464902625[/C][C]2.33426535097375[/C][/ROW]
[ROW][C]80[/C][C]8.36[/C][C]5.99161865409881[/C][C]2.36838134590119[/C][/ROW]
[ROW][C]81[/C][C]8.43[/C][C]5.99161865409881[/C][C]2.43838134590119[/C][/ROW]
[ROW][C]82[/C][C]8.68[/C][C]5.92750265917137[/C][C]2.75249734082863[/C][/ROW]
[ROW][C]83[/C][C]9.1[/C][C]5.92750265917137[/C][C]3.17249734082863[/C][/ROW]
[ROW][C]84[/C][C]9.4[/C][C]5.92750265917137[/C][C]3.47249734082863[/C][/ROW]
[ROW][C]85[/C][C]9.8[/C][C]5.86338666424393[/C][C]3.93661333575607[/C][/ROW]
[ROW][C]86[/C][C]10.4[/C][C]5.86338666424393[/C][C]4.53661333575607[/C][/ROW]
[ROW][C]87[/C][C]10.26[/C][C]5.7992706693165[/C][C]4.4607293306835[/C][/ROW]
[ROW][C]88[/C][C]10[/C][C]5.7992706693165[/C][C]4.2007293306835[/C][/ROW]
[ROW][C]89[/C][C]9.82[/C][C]5.7992706693165[/C][C]4.0207293306835[/C][/ROW]
[ROW][C]90[/C][C]9.75[/C][C]5.7992706693165[/C][C]3.9507293306835[/C][/ROW]
[ROW][C]91[/C][C]9.56[/C][C]5.7992706693165[/C][C]3.76072933068351[/C][/ROW]
[ROW][C]92[/C][C]10.01[/C][C]5.7992706693165[/C][C]4.2107293306835[/C][/ROW]
[ROW][C]93[/C][C]10.3[/C][C]5.7992706693165[/C][C]4.5007293306835[/C][/ROW]
[ROW][C]94[/C][C]10.22[/C][C]5.73515467438906[/C][C]4.48484532561094[/C][/ROW]
[ROW][C]95[/C][C]10.01[/C][C]5.7992706693165[/C][C]4.2107293306835[/C][/ROW]
[ROW][C]96[/C][C]9.95[/C][C]5.7992706693165[/C][C]4.1507293306835[/C][/ROW]
[ROW][C]97[/C][C]9.87[/C][C]5.7992706693165[/C][C]4.0707293306835[/C][/ROW]
[ROW][C]98[/C][C]9.25[/C][C]5.7992706693165[/C][C]3.4507293306835[/C][/ROW]
[ROW][C]99[/C][C]9.23[/C][C]5.86338666424393[/C][C]3.36661333575607[/C][/ROW]
[ROW][C]100[/C][C]9.17[/C][C]5.86338666424393[/C][C]3.30661333575607[/C][/ROW]
[ROW][C]101[/C][C]9.14[/C][C]5.92750265917137[/C][C]3.21249734082863[/C][/ROW]
[ROW][C]102[/C][C]9.26[/C][C]5.92750265917137[/C][C]3.33249734082863[/C][/ROW]
[ROW][C]103[/C][C]9.47[/C][C]5.99161865409881[/C][C]3.47838134590119[/C][/ROW]
[ROW][C]104[/C][C]9.41[/C][C]5.99161865409881[/C][C]3.41838134590119[/C][/ROW]
[ROW][C]105[/C][C]9.22[/C][C]6.05573464902625[/C][C]3.16426535097375[/C][/ROW]
[ROW][C]106[/C][C]9.13[/C][C]6.11985064395369[/C][C]3.01014935604631[/C][/ROW]
[ROW][C]107[/C][C]9.15[/C][C]6.18396663888113[/C][C]2.96603336111887[/C][/ROW]
[ROW][C]108[/C][C]9.13[/C][C]6.18396663888113[/C][C]2.94603336111887[/C][/ROW]
[ROW][C]109[/C][C]8.72[/C][C]6.24808263380857[/C][C]2.47191736619143[/C][/ROW]
[ROW][C]110[/C][C]8.72[/C][C]6.312198628736[/C][C]2.407801371264[/C][/ROW]
[ROW][C]111[/C][C]8.81[/C][C]6.312198628736[/C][C]2.497801371264[/C][/ROW]
[ROW][C]112[/C][C]8.86[/C][C]6.44043061859088[/C][C]2.41956938140912[/C][/ROW]
[ROW][C]113[/C][C]8.83[/C][C]6.50454661351832[/C][C]2.32545338648168[/C][/ROW]
[ROW][C]114[/C][C]8.92[/C][C]6.56866260844576[/C][C]2.35133739155424[/C][/ROW]
[ROW][C]115[/C][C]8.91[/C][C]6.69689459830064[/C][C]2.21310540169936[/C][/ROW]
[ROW][C]116[/C][C]9.03[/C][C]6.76101059322808[/C][C]2.26898940677192[/C][/ROW]
[ROW][C]117[/C][C]8.77[/C][C]6.88924258308295[/C][C]1.88075741691705[/C][/ROW]
[ROW][C]118[/C][C]8.28[/C][C]6.95335857801039[/C][C]1.32664142198961[/C][/ROW]
[ROW][C]119[/C][C]8.04[/C][C]7.08159056786527[/C][C]0.95840943213473[/C][/ROW]
[ROW][C]120[/C][C]7.95[/C][C]7.1457065627927[/C][C]0.804293437207294[/C][/ROW]
[ROW][C]121[/C][C]7.57[/C][C]7.27393855264758[/C][C]0.296061447352417[/C][/ROW]
[ROW][C]122[/C][C]7.65[/C][C]7.40217054250246[/C][C]0.247829457497539[/C][/ROW]
[ROW][C]123[/C][C]7.37[/C][C]7.4662865374299[/C][C]-0.0962865374298996[/C][/ROW]
[ROW][C]124[/C][C]7.44[/C][C]7.59451852728478[/C][C]-0.154518527284776[/C][/ROW]
[ROW][C]125[/C][C]7.43[/C][C]7.65863452221222[/C][C]-0.228634522212216[/C][/ROW]
[ROW][C]126[/C][C]7.23[/C][C]7.78686651206709[/C][C]-0.556866512067092[/C][/ROW]
[ROW][C]127[/C][C]7.05[/C][C]7.85098250699453[/C][C]-0.800982506994531[/C][/ROW]
[ROW][C]128[/C][C]7.08[/C][C]7.85098250699453[/C][C]-0.770982506994531[/C][/ROW]
[ROW][C]129[/C][C]7.22[/C][C]7.91509850192197[/C][C]-0.69509850192197[/C][/ROW]
[ROW][C]130[/C][C]7.19[/C][C]7.9792144968494[/C][C]-0.789214496849408[/C][/ROW]
[ROW][C]131[/C][C]6.92[/C][C]8.04333049177685[/C][C]-1.12333049177685[/C][/ROW]
[ROW][C]132[/C][C]6.59[/C][C]8.04333049177685[/C][C]-1.45333049177685[/C][/ROW]
[ROW][C]133[/C][C]6.52[/C][C]7.9792144968494[/C][C]-1.45921449684941[/C][/ROW]
[ROW][C]134[/C][C]6.7[/C][C]7.9792144968494[/C][C]-1.27921449684941[/C][/ROW]
[ROW][C]135[/C][C]7.14[/C][C]7.9792144968494[/C][C]-0.83921449684941[/C][/ROW]
[ROW][C]136[/C][C]7.29[/C][C]7.9792144968494[/C][C]-0.689214496849409[/C][/ROW]
[ROW][C]137[/C][C]7.54[/C][C]7.91509850192197[/C][C]-0.375098501921969[/C][/ROW]
[ROW][C]138[/C][C]7.98[/C][C]7.91509850192197[/C][C]0.0649014980780309[/C][/ROW]
[ROW][C]139[/C][C]7.95[/C][C]7.91509850192197[/C][C]0.0349014980780307[/C][/ROW]
[ROW][C]140[/C][C]8.21[/C][C]7.91509850192197[/C][C]0.294901498078031[/C][/ROW]
[ROW][C]141[/C][C]8.58[/C][C]7.85098250699453[/C][C]0.72901749300547[/C][/ROW]
[ROW][C]142[/C][C]8.45[/C][C]7.85098250699453[/C][C]0.599017493005468[/C][/ROW]
[ROW][C]143[/C][C]8.35[/C][C]7.85098250699453[/C][C]0.499017493005469[/C][/ROW]
[ROW][C]144[/C][C]8.3[/C][C]7.85098250699453[/C][C]0.44901749300547[/C][/ROW]
[ROW][C]145[/C][C]8.45[/C][C]7.85098250699453[/C][C]0.599017493005468[/C][/ROW]
[ROW][C]146[/C][C]8.27[/C][C]7.91509850192197[/C][C]0.35490149807803[/C][/ROW]
[ROW][C]147[/C][C]8.16[/C][C]7.91509850192197[/C][C]0.244901498078031[/C][/ROW]
[ROW][C]148[/C][C]7.85[/C][C]7.9792144968494[/C][C]-0.129214496849409[/C][/ROW]
[ROW][C]149[/C][C]7.59[/C][C]7.9792144968494[/C][C]-0.389214496849409[/C][/ROW]
[ROW][C]150[/C][C]7.33[/C][C]8.04333049177685[/C][C]-0.713330491776847[/C][/ROW]
[ROW][C]151[/C][C]7.33[/C][C]8.04333049177685[/C][C]-0.713330491776847[/C][/ROW]
[ROW][C]152[/C][C]7.19[/C][C]8.04333049177685[/C][C]-0.853330491776847[/C][/ROW]
[ROW][C]153[/C][C]7.04[/C][C]7.9792144968494[/C][C]-0.939214496849409[/C][/ROW]
[ROW][C]154[/C][C]7.06[/C][C]7.91509850192197[/C][C]-0.85509850192197[/C][/ROW]
[ROW][C]155[/C][C]6.8[/C][C]7.91509850192197[/C][C]-1.11509850192197[/C][/ROW]
[ROW][C]156[/C][C]6.7[/C][C]7.85098250699453[/C][C]-1.15098250699453[/C][/ROW]
[ROW][C]157[/C][C]6.44[/C][C]7.78686651206709[/C][C]-1.34686651206709[/C][/ROW]
[ROW][C]158[/C][C]6.64[/C][C]7.72275051713965[/C][C]-1.08275051713965[/C][/ROW]
[ROW][C]159[/C][C]6.84[/C][C]7.72275051713965[/C][C]-0.882750517139654[/C][/ROW]
[ROW][C]160[/C][C]6.67[/C][C]7.65863452221222[/C][C]-0.988634522212216[/C][/ROW]
[ROW][C]161[/C][C]6.69[/C][C]7.59451852728478[/C][C]-0.904518527284776[/C][/ROW]
[ROW][C]162[/C][C]6.78[/C][C]7.59451852728478[/C][C]-0.814518527284776[/C][/ROW]
[ROW][C]163[/C][C]6.78[/C][C]7.59451852728478[/C][C]-0.814518527284776[/C][/ROW]
[ROW][C]164[/C][C]6.62[/C][C]7.53040253235734[/C][C]-0.910402532357338[/C][/ROW]
[ROW][C]165[/C][C]6.45[/C][C]7.53040253235734[/C][C]-1.08040253235734[/C][/ROW]
[ROW][C]166[/C][C]6.1[/C][C]7.53040253235734[/C][C]-1.43040253235734[/C][/ROW]
[ROW][C]167[/C][C]6[/C][C]7.53040253235734[/C][C]-1.53040253235734[/C][/ROW]
[ROW][C]168[/C][C]5.9[/C][C]7.59451852728478[/C][C]-1.69451852728478[/C][/ROW]
[ROW][C]169[/C][C]5.89[/C][C]7.65863452221222[/C][C]-1.76863452221222[/C][/ROW]
[ROW][C]170[/C][C]5.65[/C][C]7.65863452221222[/C][C]-2.00863452221222[/C][/ROW]
[ROW][C]171[/C][C]5.85[/C][C]7.65863452221222[/C][C]-1.80863452221222[/C][/ROW]
[ROW][C]172[/C][C]6.02[/C][C]7.65863452221222[/C][C]-1.63863452221222[/C][/ROW]
[ROW][C]173[/C][C]5.9[/C][C]7.65863452221222[/C][C]-1.75863452221222[/C][/ROW]
[ROW][C]174[/C][C]5.83[/C][C]7.72275051713965[/C][C]-1.89275051713965[/C][/ROW]
[ROW][C]175[/C][C]5.64[/C][C]7.72275051713965[/C][C]-2.08275051713965[/C][/ROW]
[ROW][C]176[/C][C]5.75[/C][C]7.72275051713965[/C][C]-1.97275051713965[/C][/ROW]
[ROW][C]177[/C][C]5.69[/C][C]7.78686651206709[/C][C]-2.09686651206709[/C][/ROW]
[ROW][C]178[/C][C]5.69[/C][C]7.78686651206709[/C][C]-2.09686651206709[/C][/ROW]
[ROW][C]179[/C][C]5.68[/C][C]7.72275051713965[/C][C]-2.04275051713965[/C][/ROW]
[ROW][C]180[/C][C]5.45[/C][C]7.72275051713965[/C][C]-2.27275051713965[/C][/ROW]
[ROW][C]181[/C][C]5.22[/C][C]7.65863452221222[/C][C]-2.43863452221222[/C][/ROW]
[ROW][C]182[/C][C]5.11[/C][C]7.72275051713965[/C][C]-2.61275051713965[/C][/ROW]
[ROW][C]183[/C][C]5.03[/C][C]7.72275051713965[/C][C]-2.69275051713965[/C][/ROW]
[ROW][C]184[/C][C]5.03[/C][C]7.59451852728478[/C][C]-2.56451852728478[/C][/ROW]
[ROW][C]185[/C][C]5.09[/C][C]7.53040253235734[/C][C]-2.44040253235734[/C][/ROW]
[ROW][C]186[/C][C]4.96[/C][C]7.53040253235734[/C][C]-2.57040253235734[/C][/ROW]
[ROW][C]187[/C][C]4.88[/C][C]7.53040253235734[/C][C]-2.65040253235734[/C][/ROW]
[ROW][C]188[/C][C]4.66[/C][C]7.4662865374299[/C][C]-2.8062865374299[/C][/ROW]
[ROW][C]189[/C][C]4.34[/C][C]7.4662865374299[/C][C]-3.1262865374299[/C][/ROW]
[ROW][C]190[/C][C]4.28[/C][C]7.40217054250246[/C][C]-3.12217054250246[/C][/ROW]
[ROW][C]191[/C][C]4.33[/C][C]7.33805454757502[/C][C]-3.00805454757502[/C][/ROW]
[ROW][C]192[/C][C]4.09[/C][C]7.27393855264758[/C][C]-3.18393855264758[/C][/ROW]
[ROW][C]193[/C][C]3.9[/C][C]7.1457065627927[/C][C]-3.24570656279271[/C][/ROW]
[ROW][C]194[/C][C]4.04[/C][C]7.01747457293783[/C][C]-2.97747457293783[/C][/ROW]
[ROW][C]195[/C][C]4.26[/C][C]6.88924258308295[/C][C]-2.62924258308295[/C][/ROW]
[ROW][C]196[/C][C]4.11[/C][C]6.76101059322808[/C][C]-2.65101059322807[/C][/ROW]
[ROW][C]197[/C][C]4.29[/C][C]6.69689459830064[/C][C]-2.40689459830064[/C][/ROW]
[ROW][C]198[/C][C]4.64[/C][C]6.56866260844576[/C][C]-1.92866260844576[/C][/ROW]
[ROW][C]199[/C][C]4.94[/C][C]6.44043061859088[/C][C]-1.50043061859088[/C][/ROW]
[ROW][C]200[/C][C]5.18[/C][C]6.312198628736[/C][C]-1.13219862873601[/C][/ROW]
[ROW][C]201[/C][C]5.34[/C][C]6.18396663888113[/C][C]-0.843966638881127[/C][/ROW]
[ROW][C]202[/C][C]5.58[/C][C]6.18396663888113[/C][C]-0.603966638881127[/C][/ROW]
[ROW][C]203[/C][C]5.3[/C][C]6.05573464902625[/C][C]-0.75573464902625[/C][/ROW]
[ROW][C]204[/C][C]5.41[/C][C]6.05573464902625[/C][C]-0.64573464902625[/C][/ROW]
[ROW][C]205[/C][C]5.79[/C][C]5.99161865409881[/C][C]-0.201618654098812[/C][/ROW]
[ROW][C]206[/C][C]5.79[/C][C]6.05573464902625[/C][C]-0.26573464902625[/C][/ROW]
[ROW][C]207[/C][C]5.62[/C][C]5.99161865409881[/C][C]-0.371618654098812[/C][/ROW]
[ROW][C]208[/C][C]5.52[/C][C]5.99161865409881[/C][C]-0.471618654098812[/C][/ROW]
[ROW][C]209[/C][C]5.69[/C][C]5.99161865409881[/C][C]-0.301618654098811[/C][/ROW]
[ROW][C]210[/C][C]5.53[/C][C]5.86338666424393[/C][C]-0.333386664243934[/C][/ROW]
[ROW][C]211[/C][C]5.6[/C][C]5.73515467438906[/C][C]-0.135154674389057[/C][/ROW]
[ROW][C]212[/C][C]5.56[/C][C]5.73515467438906[/C][C]-0.175154674389058[/C][/ROW]
[ROW][C]213[/C][C]5.63[/C][C]5.73515467438906[/C][C]-0.105154674389057[/C][/ROW]
[ROW][C]214[/C][C]5.58[/C][C]5.86338666424393[/C][C]-0.283386664243934[/C][/ROW]
[ROW][C]215[/C][C]5.52[/C][C]5.92750265917137[/C][C]-0.407502659171373[/C][/ROW]
[ROW][C]216[/C][C]5.28[/C][C]5.86338666424393[/C][C]-0.583386664243934[/C][/ROW]
[ROW][C]217[/C][C]5.16[/C][C]5.73515467438906[/C][C]-0.575154674389057[/C][/ROW]
[ROW][C]218[/C][C]5.16[/C][C]5.73515467438906[/C][C]-0.575154674389057[/C][/ROW]
[ROW][C]219[/C][C]5.08[/C][C]5.86338666424393[/C][C]-0.783386664243934[/C][/ROW]
[ROW][C]220[/C][C]5.21[/C][C]6.18396663888113[/C][C]-0.973966638881127[/C][/ROW]
[ROW][C]221[/C][C]5.38[/C][C]6.24808263380857[/C][C]-0.868082633808566[/C][/ROW]
[ROW][C]222[/C][C]5.33[/C][C]6.37631462366344[/C][C]-1.04631462366344[/C][/ROW]
[ROW][C]223[/C][C]5.35[/C][C]6.37631462366344[/C][C]-1.02631462366344[/C][/ROW]
[ROW][C]224[/C][C]5.15[/C][C]6.44043061859088[/C][C]-1.29043061859088[/C][/ROW]
[ROW][C]225[/C][C]5.14[/C][C]6.44043061859088[/C][C]-1.30043061859088[/C][/ROW]
[ROW][C]226[/C][C]4.89[/C][C]6.37631462366344[/C][C]-1.48631462366344[/C][/ROW]
[ROW][C]227[/C][C]4.75[/C][C]6.44043061859088[/C][C]-1.69043061859088[/C][/ROW]
[ROW][C]228[/C][C]4.97[/C][C]6.50454661351832[/C][C]-1.53454661351832[/C][/ROW]
[ROW][C]229[/C][C]5.08[/C][C]6.6327786033732[/C][C]-1.5527786033732[/C][/ROW]
[ROW][C]230[/C][C]5.15[/C][C]6.6327786033732[/C][C]-1.4827786033732[/C][/ROW]
[ROW][C]231[/C][C]5.37[/C][C]6.6327786033732[/C][C]-1.2627786033732[/C][/ROW]
[ROW][C]232[/C][C]5.37[/C][C]6.6327786033732[/C][C]-1.2627786033732[/C][/ROW]
[ROW][C]233[/C][C]5.38[/C][C]6.6327786033732[/C][C]-1.2527786033732[/C][/ROW]
[ROW][C]234[/C][C]5.24[/C][C]6.69689459830064[/C][C]-1.45689459830064[/C][/ROW]
[ROW][C]235[/C][C]5.09[/C][C]6.82512658815551[/C][C]-1.73512658815551[/C][/ROW]
[ROW][C]236[/C][C]4.8[/C][C]6.88924258308295[/C][C]-2.08924258308295[/C][/ROW]
[ROW][C]237[/C][C]4.6[/C][C]6.88924258308295[/C][C]-2.28924258308295[/C][/ROW]
[ROW][C]238[/C][C]4.66[/C][C]6.95335857801039[/C][C]-2.29335857801039[/C][/ROW]
[ROW][C]239[/C][C]4.64[/C][C]6.95335857801039[/C][C]-2.31335857801039[/C][/ROW]
[ROW][C]240[/C][C]4.46[/C][C]6.95335857801039[/C][C]-2.49335857801039[/C][/ROW]
[ROW][C]241[/C][C]4.28[/C][C]6.88924258308295[/C][C]-2.60924258308295[/C][/ROW]
[ROW][C]242[/C][C]4.11[/C][C]6.88924258308295[/C][C]-2.77924258308295[/C][/ROW]
[ROW][C]243[/C][C]4.15[/C][C]6.95335857801039[/C][C]-2.80335857801039[/C][/ROW]
[ROW][C]244[/C][C]4.29[/C][C]7.01747457293783[/C][C]-2.72747457293783[/C][/ROW]
[ROW][C]245[/C][C]3.95[/C][C]7.01747457293783[/C][C]-3.06747457293783[/C][/ROW]
[ROW][C]246[/C][C]3.74[/C][C]7.08159056786527[/C][C]-3.34159056786527[/C][/ROW]
[ROW][C]247[/C][C]4.06[/C][C]7.1457065627927[/C][C]-3.08570656279271[/C][/ROW]
[ROW][C]248[/C][C]4.22[/C][C]7.1457065627927[/C][C]-2.92570656279271[/C][/ROW]
[ROW][C]249[/C][C]4.25[/C][C]7.08159056786527[/C][C]-2.83159056786527[/C][/ROW]
[ROW][C]250[/C][C]4.31[/C][C]6.82512658815551[/C][C]-2.51512658815551[/C][/ROW]
[ROW][C]251[/C][C]4.43[/C][C]6.76101059322808[/C][C]-2.33101059322808[/C][/ROW]
[ROW][C]252[/C][C]4.38[/C][C]6.88924258308295[/C][C]-2.50924258308295[/C][/ROW]
[ROW][C]253[/C][C]4.26[/C][C]7.1457065627927[/C][C]-2.88570656279271[/C][/ROW]
[ROW][C]254[/C][C]4.26[/C][C]7.33805454757502[/C][C]-3.07805454757502[/C][/ROW]
[ROW][C]255[/C][C]4.07[/C][C]7.33805454757502[/C][C]-3.26805454757502[/C][/ROW]
[ROW][C]256[/C][C]4.26[/C][C]7.20982255772014[/C][C]-2.94982255772015[/C][/ROW]
[ROW][C]257[/C][C]4.4[/C][C]7.01747457293783[/C][C]-2.61747457293783[/C][/ROW]
[ROW][C]258[/C][C]4.46[/C][C]7.01747457293783[/C][C]-2.55747457293783[/C][/ROW]
[ROW][C]259[/C][C]4.34[/C][C]7.01747457293783[/C][C]-2.67747457293783[/C][/ROW]
[ROW][C]260[/C][C]4.18[/C][C]7.08159056786527[/C][C]-2.90159056786527[/C][/ROW]
[ROW][C]261[/C][C]4.11[/C][C]7.08159056786527[/C][C]-2.97159056786527[/C][/ROW]
[ROW][C]262[/C][C]3.98[/C][C]7.1457065627927[/C][C]-3.16570656279271[/C][/ROW]
[ROW][C]263[/C][C]3.85[/C][C]7.20982255772014[/C][C]-3.35982255772015[/C][/ROW]
[ROW][C]264[/C][C]3.66[/C][C]7.20982255772014[/C][C]-3.54982255772014[/C][/ROW]
[ROW][C]265[/C][C]3.59[/C][C]7.20982255772014[/C][C]-3.61982255772015[/C][/ROW]
[ROW][C]266[/C][C]3.57[/C][C]7.20982255772014[/C][C]-3.63982255772015[/C][/ROW]
[ROW][C]267[/C][C]3.76[/C][C]7.20982255772014[/C][C]-3.44982255772015[/C][/ROW]
[ROW][C]268[/C][C]3.6[/C][C]7.1457065627927[/C][C]-3.54570656279271[/C][/ROW]
[ROW][C]269[/C][C]3.43[/C][C]7.08159056786527[/C][C]-3.65159056786527[/C][/ROW]
[ROW][C]270[/C][C]3.26[/C][C]7.08159056786527[/C][C]-3.82159056786527[/C][/ROW]
[ROW][C]271[/C][C]3.3[/C][C]7.08159056786527[/C][C]-3.78159056786527[/C][/ROW]
[ROW][C]272[/C][C]3.31[/C][C]7.1457065627927[/C][C]-3.83570656279271[/C][/ROW]
[ROW][C]273[/C][C]3.14[/C][C]7.1457065627927[/C][C]-4.00570656279271[/C][/ROW]
[ROW][C]274[/C][C]3.3[/C][C]7.20982255772014[/C][C]-3.90982255772015[/C][/ROW]
[ROW][C]275[/C][C]3.49[/C][C]7.20982255772014[/C][C]-3.71982255772014[/C][/ROW]
[ROW][C]276[/C][C]3.39[/C][C]7.08159056786527[/C][C]-3.69159056786527[/C][/ROW]
[ROW][C]277[/C][C]3.37[/C][C]6.95335857801039[/C][C]-3.58335857801039[/C][/ROW]
[ROW][C]278[/C][C]3.54[/C][C]6.82512658815551[/C][C]-3.28512658815551[/C][/ROW]
[ROW][C]279[/C][C]3.7[/C][C]6.82512658815551[/C][C]-3.12512658815551[/C][/ROW]
[ROW][C]280[/C][C]3.96[/C][C]6.82512658815551[/C][C]-2.86512658815551[/C][/ROW]
[ROW][C]281[/C][C]4.03[/C][C]6.82512658815551[/C][C]-2.79512658815551[/C][/ROW]
[ROW][C]282[/C][C]4.02[/C][C]6.76101059322808[/C][C]-2.74101059322808[/C][/ROW]
[ROW][C]283[/C][C]4.04[/C][C]6.76101059322808[/C][C]-2.72101059322807[/C][/ROW]
[ROW][C]284[/C][C]3.92[/C][C]6.69689459830064[/C][C]-2.77689459830064[/C][/ROW]
[ROW][C]285[/C][C]3.79[/C][C]6.69689459830064[/C][C]-2.90689459830064[/C][/ROW]
[ROW][C]286[/C][C]3.83[/C][C]6.82512658815551[/C][C]-2.99512658815551[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114027&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114027&T=4

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	12.42	8.6203744461238	3.7996255538762
2	12.37	8.68449044105123	3.68550955894877
3	12.53	8.68449044105123	3.84550955894877
4	12.02	8.74860643597867	3.27139356402133
5	11.7	8.74860643597867	2.95139356402133
6	11.67	8.68449044105123	2.98550955894877
7	11.51	8.68449044105123	2.82550955894877
8	11.5	8.6203744461238	2.8796255538762
9	11.77	8.6203744461238	3.1496255538762
10	11.75	8.6203744461238	3.1296255538762
11	11.87	8.6203744461238	3.2496255538762
12	12.18	8.6203744461238	3.5596255538762
13	12.29	8.6203744461238	3.6696255538762
14	12.41	8.68449044105123	3.72550955894877
15	12.55	8.68449044105123	3.86550955894877
16	12.39	8.6203744461238	3.76962555387621
17	12.39	8.55625845119636	3.83374154880364
18	12.4	8.49214245626892	3.90785754373108
19	12.33	8.49214245626892	3.83785754373108
20	12.16	8.49214245626892	3.66785754373108
21	12.12	8.36391046641404	3.75608953358596
22	12.13	8.23567847655916	3.89432152344084
23	11.9	8.17156248163172	3.72843751836828
24	11.84	8.10744648670429	3.73255351329571
25	11.75	8.04333049177685	3.70666950822315
26	11.73	8.04333049177685	3.68666950822315
27	11.73	8.04333049177685	3.68666950822315
28	11.64	8.04333049177685	3.59666950822315
29	11.45	8.04333049177685	3.40666950822315
30	10.78	8.10744648670429	2.67255351329571
31	10.67	8.10744648670429	2.56255351329571
32	10.8	8.17156248163172	2.62843751836828
33	10.76	8.17156248163172	2.58843751836828
34	10.38	8.17156248163172	2.20843751836828
35	9.99	8.17156248163172	1.81843751836828
36	9.94	8.17156248163172	1.76843751836828
37	10.05	8.10744648670429	1.94255351329571
38	9.99	8.10744648670429	1.88255351329571
39	9.48	8.10744648670429	1.37255351329571
40	8.29	8.10744648670429	0.182553513295713
41	8.48	8.17156248163172	0.308437518368276
42	8.58	8.17156248163172	0.408437518368276
43	8.23	8.17156248163172	0.0584375183682762
44	7.92	8.10744648670429	-0.187446486704286
45	8.04	8.10744648670429	-0.0674464867042867
46	8.09	8.10744648670429	-0.0174464867042859
47	8.09	8.04333049177685	0.0466695082231524
48	8.27	8.04333049177685	0.226669508223152
49	8.26	7.9792144968494	0.280785503150591
50	8.2	7.91509850192197	0.28490149807803
51	8.11	7.91509850192197	0.19490149807803
52	8.02	7.85098250699453	0.169017493005468
53	8.05	7.85098250699453	0.19901749300547
54	8.1	7.78686651206709	0.313133487932907
55	8.07	7.72275051713965	0.347249482860346
56	7.96	7.72275051713965	0.237249482860346
57	8.18	7.65863452221222	0.521365477787784
58	8.64	7.59451852728478	1.04548147271522
59	8.35	7.53040253235734	0.819597467642662
60	8.27	7.40217054250246	0.867829457497538
61	8.16	7.33805454757502	0.821945452424977
62	7.78	7.27393855264758	0.506061447352417
63	7.67	7.1457065627927	0.524293437207293
64	7.79	7.01747457293783	0.77252542706217
65	7.93	6.95335857801039	0.97664142198961
66	7.95	6.88924258308295	1.06075741691705
67	8.09	6.76101059322808	1.32898940677192
68	8.2	6.69689459830064	1.50310540169936
69	8.24	6.6327786033732	1.6072213966268
70	8.09	6.56866260844576	1.52133739155424
71	8.05	6.50454661351832	1.54545338648168
72	8.14	6.44043061859088	1.69956938140912
73	8.17	6.37631462366344	1.79368537633656
74	8.3	6.37631462366344	1.92368537633656
75	8.51	6.312198628736	2.197801371264
76	8.42	6.24808263380857	2.17191736619143
77	8.36	6.18396663888113	2.17603336111887
78	8.35	6.11985064395369	2.23014935604631
79	8.39	6.05573464902625	2.33426535097375
80	8.36	5.99161865409881	2.36838134590119
81	8.43	5.99161865409881	2.43838134590119
82	8.68	5.92750265917137	2.75249734082863
83	9.1	5.92750265917137	3.17249734082863
84	9.4	5.92750265917137	3.47249734082863
85	9.8	5.86338666424393	3.93661333575607
86	10.4	5.86338666424393	4.53661333575607
87	10.26	5.7992706693165	4.4607293306835
88	10	5.7992706693165	4.2007293306835
89	9.82	5.7992706693165	4.0207293306835
90	9.75	5.7992706693165	3.9507293306835
91	9.56	5.7992706693165	3.76072933068351
92	10.01	5.7992706693165	4.2107293306835
93	10.3	5.7992706693165	4.5007293306835
94	10.22	5.73515467438906	4.48484532561094
95	10.01	5.7992706693165	4.2107293306835
96	9.95	5.7992706693165	4.1507293306835
97	9.87	5.7992706693165	4.0707293306835
98	9.25	5.7992706693165	3.4507293306835
99	9.23	5.86338666424393	3.36661333575607
100	9.17	5.86338666424393	3.30661333575607
101	9.14	5.92750265917137	3.21249734082863
102	9.26	5.92750265917137	3.33249734082863
103	9.47	5.99161865409881	3.47838134590119
104	9.41	5.99161865409881	3.41838134590119
105	9.22	6.05573464902625	3.16426535097375
106	9.13	6.11985064395369	3.01014935604631
107	9.15	6.18396663888113	2.96603336111887
108	9.13	6.18396663888113	2.94603336111887
109	8.72	6.24808263380857	2.47191736619143
110	8.72	6.312198628736	2.407801371264
111	8.81	6.312198628736	2.497801371264
112	8.86	6.44043061859088	2.41956938140912
113	8.83	6.50454661351832	2.32545338648168
114	8.92	6.56866260844576	2.35133739155424
115	8.91	6.69689459830064	2.21310540169936
116	9.03	6.76101059322808	2.26898940677192
117	8.77	6.88924258308295	1.88075741691705
118	8.28	6.95335857801039	1.32664142198961
119	8.04	7.08159056786527	0.95840943213473
120	7.95	7.1457065627927	0.804293437207294
121	7.57	7.27393855264758	0.296061447352417
122	7.65	7.40217054250246	0.247829457497539
123	7.37	7.4662865374299	-0.0962865374298996
124	7.44	7.59451852728478	-0.154518527284776
125	7.43	7.65863452221222	-0.228634522212216
126	7.23	7.78686651206709	-0.556866512067092
127	7.05	7.85098250699453	-0.800982506994531
128	7.08	7.85098250699453	-0.770982506994531
129	7.22	7.91509850192197	-0.69509850192197
130	7.19	7.9792144968494	-0.789214496849408
131	6.92	8.04333049177685	-1.12333049177685
132	6.59	8.04333049177685	-1.45333049177685
133	6.52	7.9792144968494	-1.45921449684941
134	6.7	7.9792144968494	-1.27921449684941
135	7.14	7.9792144968494	-0.83921449684941
136	7.29	7.9792144968494	-0.689214496849409
137	7.54	7.91509850192197	-0.375098501921969
138	7.98	7.91509850192197	0.0649014980780309
139	7.95	7.91509850192197	0.0349014980780307
140	8.21	7.91509850192197	0.294901498078031
141	8.58	7.85098250699453	0.72901749300547
142	8.45	7.85098250699453	0.599017493005468
143	8.35	7.85098250699453	0.499017493005469
144	8.3	7.85098250699453	0.44901749300547
145	8.45	7.85098250699453	0.599017493005468
146	8.27	7.91509850192197	0.35490149807803
147	8.16	7.91509850192197	0.244901498078031
148	7.85	7.9792144968494	-0.129214496849409
149	7.59	7.9792144968494	-0.389214496849409
150	7.33	8.04333049177685	-0.713330491776847
151	7.33	8.04333049177685	-0.713330491776847
152	7.19	8.04333049177685	-0.853330491776847
153	7.04	7.9792144968494	-0.939214496849409
154	7.06	7.91509850192197	-0.85509850192197
155	6.8	7.91509850192197	-1.11509850192197
156	6.7	7.85098250699453	-1.15098250699453
157	6.44	7.78686651206709	-1.34686651206709
158	6.64	7.72275051713965	-1.08275051713965
159	6.84	7.72275051713965	-0.882750517139654
160	6.67	7.65863452221222	-0.988634522212216
161	6.69	7.59451852728478	-0.904518527284776
162	6.78	7.59451852728478	-0.814518527284776
163	6.78	7.59451852728478	-0.814518527284776
164	6.62	7.53040253235734	-0.910402532357338
165	6.45	7.53040253235734	-1.08040253235734
166	6.1	7.53040253235734	-1.43040253235734
167	6	7.53040253235734	-1.53040253235734
168	5.9	7.59451852728478	-1.69451852728478
169	5.89	7.65863452221222	-1.76863452221222
170	5.65	7.65863452221222	-2.00863452221222
171	5.85	7.65863452221222	-1.80863452221222
172	6.02	7.65863452221222	-1.63863452221222
173	5.9	7.65863452221222	-1.75863452221222
174	5.83	7.72275051713965	-1.89275051713965
175	5.64	7.72275051713965	-2.08275051713965
176	5.75	7.72275051713965	-1.97275051713965
177	5.69	7.78686651206709	-2.09686651206709
178	5.69	7.78686651206709	-2.09686651206709
179	5.68	7.72275051713965	-2.04275051713965
180	5.45	7.72275051713965	-2.27275051713965
181	5.22	7.65863452221222	-2.43863452221222
182	5.11	7.72275051713965	-2.61275051713965
183	5.03	7.72275051713965	-2.69275051713965
184	5.03	7.59451852728478	-2.56451852728478
185	5.09	7.53040253235734	-2.44040253235734
186	4.96	7.53040253235734	-2.57040253235734
187	4.88	7.53040253235734	-2.65040253235734
188	4.66	7.4662865374299	-2.8062865374299
189	4.34	7.4662865374299	-3.1262865374299
190	4.28	7.40217054250246	-3.12217054250246
191	4.33	7.33805454757502	-3.00805454757502
192	4.09	7.27393855264758	-3.18393855264758
193	3.9	7.1457065627927	-3.24570656279271
194	4.04	7.01747457293783	-2.97747457293783
195	4.26	6.88924258308295	-2.62924258308295
196	4.11	6.76101059322808	-2.65101059322807
197	4.29	6.69689459830064	-2.40689459830064
198	4.64	6.56866260844576	-1.92866260844576
199	4.94	6.44043061859088	-1.50043061859088
200	5.18	6.312198628736	-1.13219862873601
201	5.34	6.18396663888113	-0.843966638881127
202	5.58	6.18396663888113	-0.603966638881127
203	5.3	6.05573464902625	-0.75573464902625
204	5.41	6.05573464902625	-0.64573464902625
205	5.79	5.99161865409881	-0.201618654098812
206	5.79	6.05573464902625	-0.26573464902625
207	5.62	5.99161865409881	-0.371618654098812
208	5.52	5.99161865409881	-0.471618654098812
209	5.69	5.99161865409881	-0.301618654098811
210	5.53	5.86338666424393	-0.333386664243934
211	5.6	5.73515467438906	-0.135154674389057
212	5.56	5.73515467438906	-0.175154674389058
213	5.63	5.73515467438906	-0.105154674389057
214	5.58	5.86338666424393	-0.283386664243934
215	5.52	5.92750265917137	-0.407502659171373
216	5.28	5.86338666424393	-0.583386664243934
217	5.16	5.73515467438906	-0.575154674389057
218	5.16	5.73515467438906	-0.575154674389057
219	5.08	5.86338666424393	-0.783386664243934
220	5.21	6.18396663888113	-0.973966638881127
221	5.38	6.24808263380857	-0.868082633808566
222	5.33	6.37631462366344	-1.04631462366344
223	5.35	6.37631462366344	-1.02631462366344
224	5.15	6.44043061859088	-1.29043061859088
225	5.14	6.44043061859088	-1.30043061859088
226	4.89	6.37631462366344	-1.48631462366344
227	4.75	6.44043061859088	-1.69043061859088
228	4.97	6.50454661351832	-1.53454661351832
229	5.08	6.6327786033732	-1.5527786033732
230	5.15	6.6327786033732	-1.4827786033732
231	5.37	6.6327786033732	-1.2627786033732
232	5.37	6.6327786033732	-1.2627786033732
233	5.38	6.6327786033732	-1.2527786033732
234	5.24	6.69689459830064	-1.45689459830064
235	5.09	6.82512658815551	-1.73512658815551
236	4.8	6.88924258308295	-2.08924258308295
237	4.6	6.88924258308295	-2.28924258308295
238	4.66	6.95335857801039	-2.29335857801039
239	4.64	6.95335857801039	-2.31335857801039
240	4.46	6.95335857801039	-2.49335857801039
241	4.28	6.88924258308295	-2.60924258308295
242	4.11	6.88924258308295	-2.77924258308295
243	4.15	6.95335857801039	-2.80335857801039
244	4.29	7.01747457293783	-2.72747457293783
245	3.95	7.01747457293783	-3.06747457293783
246	3.74	7.08159056786527	-3.34159056786527
247	4.06	7.1457065627927	-3.08570656279271
248	4.22	7.1457065627927	-2.92570656279271
249	4.25	7.08159056786527	-2.83159056786527
250	4.31	6.82512658815551	-2.51512658815551
251	4.43	6.76101059322808	-2.33101059322808
252	4.38	6.88924258308295	-2.50924258308295
253	4.26	7.1457065627927	-2.88570656279271
254	4.26	7.33805454757502	-3.07805454757502
255	4.07	7.33805454757502	-3.26805454757502
256	4.26	7.20982255772014	-2.94982255772015
257	4.4	7.01747457293783	-2.61747457293783
258	4.46	7.01747457293783	-2.55747457293783
259	4.34	7.01747457293783	-2.67747457293783
260	4.18	7.08159056786527	-2.90159056786527
261	4.11	7.08159056786527	-2.97159056786527
262	3.98	7.1457065627927	-3.16570656279271
263	3.85	7.20982255772014	-3.35982255772015
264	3.66	7.20982255772014	-3.54982255772014
265	3.59	7.20982255772014	-3.61982255772015
266	3.57	7.20982255772014	-3.63982255772015
267	3.76	7.20982255772014	-3.44982255772015
268	3.6	7.1457065627927	-3.54570656279271
269	3.43	7.08159056786527	-3.65159056786527
270	3.26	7.08159056786527	-3.82159056786527
271	3.3	7.08159056786527	-3.78159056786527
272	3.31	7.1457065627927	-3.83570656279271
273	3.14	7.1457065627927	-4.00570656279271
274	3.3	7.20982255772014	-3.90982255772015
275	3.49	7.20982255772014	-3.71982255772014
276	3.39	7.08159056786527	-3.69159056786527
277	3.37	6.95335857801039	-3.58335857801039
278	3.54	6.82512658815551	-3.28512658815551
279	3.7	6.82512658815551	-3.12512658815551
280	3.96	6.82512658815551	-2.86512658815551
281	4.03	6.82512658815551	-2.79512658815551
282	4.02	6.76101059322808	-2.74101059322808
283	4.04	6.76101059322808	-2.72101059322807
284	3.92	6.69689459830064	-2.77689459830064
285	3.79	6.69689459830064	-2.90689459830064
286	3.83	6.82512658815551	-2.99512658815551

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
5	0.00142016281640544	0.00284032563281089	0.998579837183595
6	0.000859344866433132	0.00171868973286626	0.999140655133567
7	0.000438422034035862	0.000876844068071724	0.999561577965964
8	0.000223123280653805	0.00044624656130761	0.999776876719346
9	4.43559993512656e-05	8.87119987025312e-05	0.999955644000649
10	8.28718576986908e-06	1.65743715397382e-05	0.99999171281423
11	1.3733136087704e-06	2.74662721754081e-06	0.999998626686391
12	2.79069785912355e-07	5.58139571824711e-07	0.999999720930214
13	6.56622326218435e-08	1.31324465243687e-07	0.999999934337767
14	2.10707998080073e-08	4.21415996160147e-08	0.9999999789292
15	9.381491915942e-09	1.8762983831884e-08	0.999999990618508
16	2.47488121815595e-09	4.94976243631191e-09	0.999999997525119
17	5.66108655605394e-10	1.13221731121079e-09	0.999999999433891
18	1.09883646745965e-10	2.19767293491929e-10	0.999999999890116
19	1.99620398541265e-11	3.99240797082531e-11	0.999999999980038
20	3.81358777306222e-12	7.62717554612445e-12	0.999999999996186
21	8.58862766439145e-13	1.71772553287829e-12	0.99999999999914
22	1.83769940898104e-13	3.67539881796207e-13	0.999999999999816
23	5.1123227968256e-14	1.02246455936512e-13	0.999999999999949
24	1.25866448037163e-14	2.51732896074327e-14	0.999999999999987
25	3.07887190893342e-15	6.15774381786685e-15	0.999999999999997
26	6.9982659303671e-16	1.39965318607342e-15	1
27	1.51701021568454e-16	3.03402043136909e-16	1
28	3.6697113095805e-17	7.33942261916101e-17	1
29	1.33342746654518e-17	2.66685493309036e-17	1
30	1.51491558537402e-16	3.02983117074803e-16	1
31	8.97724124699628e-16	1.79544824939926e-15	1
32	1.73143560946785e-15	3.4628712189357e-15	0.999999999999998
33	2.75312535673712e-15	5.50625071347423e-15	0.999999999999997
34	1.46797478453455e-14	2.93594956906911e-14	0.999999999999985
35	2.09446486570497e-13	4.18892973140995e-13	0.99999999999979
36	1.42185123066338e-12	2.84370246132675e-12	0.999999999998578
37	2.85705175701431e-12	5.71410351402862e-12	0.999999999997143
38	5.11333073549758e-12	1.02266614709952e-11	0.999999999994887
39	2.61321766248881e-11	5.22643532497762e-11	0.999999999973868
40	2.65928230383026e-09	5.31856460766053e-09	0.999999997340718
41	4.34100353398011e-08	8.68200706796022e-08	0.999999956589965
42	2.54622544348433e-07	5.09245088696866e-07	0.999999745377456
43	1.67491682856038e-06	3.34983365712075e-06	0.999998325083171
44	7.84298264750704e-06	1.56859652950141e-05	0.999992157017352
45	2.11788009515493e-05	4.23576019030987e-05	0.999978821199048
46	4.30034158981435e-05	8.6006831796287e-05	0.999956996584102
47	6.0996066510106e-05	0.000121992133020212	0.99993900393349
48	6.99521492941697e-05	0.000139904298588339	0.999930047850706
49	6.57925778601635e-05	0.000131585155720327	0.99993420742214
50	5.40260293745452e-05	0.00010805205874909	0.999945973970625
51	4.46370098436196e-05	8.92740196872392e-05	0.999955362990156
52	3.32333132745727e-05	6.64666265491453e-05	0.999966766686725
53	2.4113331739633e-05	4.8226663479266e-05	0.99997588666826
54	1.59945533152605e-05	3.1989106630521e-05	0.999984005446685
55	1.02193778344582e-05	2.04387556689164e-05	0.999989780622166
56	6.49249195501969e-06	1.29849839100394e-05	0.999993507508045
57	4.22418754511112e-06	8.44837509022224e-06	0.999995775812455
58	3.55102095153468e-06	7.10204190306935e-06	0.999996448979048
59	2.75966946920953e-06	5.51933893841906e-06	0.99999724033053
60	2.51246548550635e-06	5.02493097101271e-06	0.999997487534514
61	2.26241807743e-06	4.52483615486e-06	0.999997737581923
62	1.71607364588904e-06	3.43214729177808e-06	0.999998283926354
63	1.44847811092206e-06	2.89695622184413e-06	0.99999855152189
64	1.58555352193038e-06	3.17110704386075e-06	0.999998414446478
65	1.91782865784088e-06	3.83565731568176e-06	0.999998082171342
66	2.29092446363944e-06	4.58184892727888e-06	0.999997709075536
67	3.41742409915665e-06	6.8348481983133e-06	0.9999965825759
68	5.11398614958979e-06	1.02279722991796e-05	0.99999488601385
69	7.24058680988496e-06	1.44811736197699e-05	0.99999275941319
70	8.52832201428333e-06	1.70566440285667e-05	0.999991471677986
71	9.3930253714044e-06	1.87860507428088e-05	0.999990606974629
72	1.06489076510854e-05	2.12978153021708e-05	0.999989351092349
73	1.19020835148337e-05	2.38041670296674e-05	0.999988097916485
74	1.30548874310672e-05	2.61097748621344e-05	0.999986945112569
75	1.60692859114689e-05	3.21385718229379e-05	0.999983930714089
76	1.79992943810243e-05	3.59985887620486e-05	0.999982000705619
77	1.8980305376965e-05	3.796061075393e-05	0.999981019694623
78	1.95482443843069e-05	3.90964887686138e-05	0.999980451755616
79	2.02705827086588e-05	4.05411654173175e-05	0.999979729417291
80	2.03401816057121e-05	4.06803632114242e-05	0.999979659818394
81	2.00499960462233e-05	4.00999920924466e-05	0.999979950003954
82	2.25705762185701e-05	4.51411524371402e-05	0.999977429423781
83	3.10934601974589e-05	6.21869203949177e-05	0.999968906539803
84	4.85208681947617e-05	9.70417363895235e-05	0.999951479131805
85	9.69653991841924e-05	0.000193930798368385	0.999903034600816
86	0.00027376467962529	0.00054752935925058	0.999726235320375
87	0.000605318666865793	0.00121063733373159	0.999394681333134
88	0.00100529810845089	0.00201059621690179	0.99899470189155
89	0.00142319190060048	0.00284638380120097	0.9985768080994
90	0.00188493058794108	0.00376986117588215	0.998115069412059
91	0.00225073315718729	0.00450146631437459	0.997749266842813
92	0.00328525880063414	0.00657051760126828	0.996714741199366
93	0.00545164260751843	0.0109032852150369	0.994548357392482
94	0.00861248948482317	0.0172249789696463	0.991387510515177
95	0.012053924724272	0.0241078494485439	0.987946075275728
96	0.0165012510569962	0.0330025021139924	0.983498748943004
97	0.0220805833776284	0.0441611667552569	0.977919416622372
98	0.0247302464632834	0.0494604929265667	0.975269753536717
99	0.0279089664174036	0.0558179328348072	0.972091033582596
100	0.031665660775597	0.063331321551194	0.968334339224403
101	0.0361931313909916	0.0723862627819832	0.963806868609008
102	0.0434961496799944	0.0869922993599888	0.956503850320006
103	0.0559647175967901	0.11192943519358	0.94403528240321
104	0.0723069660267005	0.144613932053401	0.9276930339733
105	0.090169256572946	0.180338513145892	0.909830743427054
106	0.11139017753534	0.22278035507068	0.88860982246466
107	0.139204692666555	0.27840938533311	0.860795307333445
108	0.175596027633673	0.351192055267347	0.824403972366327
109	0.207923120725913	0.415846241451825	0.792076879274087
110	0.24680608213531	0.493612164270621	0.75319391786469
111	0.298390581446232	0.596781162892465	0.701609418553768
112	0.358711637221565	0.717423274443131	0.641288362778435
113	0.426078256295982	0.852156512591964	0.573921743704018
114	0.505002298001315	0.98999540399737	0.494997701998685
115	0.584839710928105	0.83032057814379	0.415160289071895
116	0.671786661371213	0.656426677257575	0.328213338628787
117	0.740202730591	0.519594538817999	0.259797269408999
118	0.789289872348934	0.421420255302132	0.210710127651066
119	0.82856011581187	0.34287976837626	0.17143988418813
120	0.862315250938935	0.27536949812213	0.137684749061065
121	0.890148817564196	0.219702364871608	0.109851182435804
122	0.912985173279116	0.174029653441769	0.0870148267208844
123	0.932752379008023	0.134495241983954	0.0672476209919771
124	0.948194039945196	0.103611920109607	0.0518059600548036
125	0.96038551870234	0.0792289625953197	0.0396144812976599
126	0.970655848502232	0.0586883029955351	0.0293441514977675
127	0.978991597669683	0.0420168046606343	0.0210084023303171
128	0.984781885887417	0.0304362282251669	0.0152181141125834
129	0.988696489554016	0.022607020891968	0.011303510445984
130	0.991623263367916	0.0167534732641676	0.00837673663208378
131	0.994096805411199	0.011806389177602	0.005903194588801
132	0.99614282569958	0.00771434860083866	0.00385717430041933
133	0.997453584676281	0.00509283064743734	0.00254641532371867
134	0.998191339180079	0.00361732163984304	0.00180866081992152
135	0.998581186150165	0.00283762769967026	0.00141881384983513
136	0.998863703135331	0.00227259372933707	0.00113629686466854
137	0.99909113375701	0.00181773248598255	0.000908866242991275
138	0.999318246249154	0.00136350750169252	0.000681753750846258
139	0.999498476609162	0.00100304678167649	0.000501523390838245
140	0.99966758644894	0.0006648271021215	0.00033241355106075
141	0.99982715577251	0.00034568845497921	0.000172844227489605
142	0.999912655954253	0.000174688091494792	8.73440457473959e-05
143	0.999957795539932	8.44089201349629e-05	4.22044600674814e-05
144	0.999981133723766	3.77325524683569e-05	1.88662762341785e-05
145	0.99999334981424	1.33003715213885e-05	6.65018576069423e-06
146	0.999997658416387	4.68316722519117e-06	2.34158361259559e-06
147	0.999999238585882	1.52282823518498e-06	7.6141411759249e-07
148	0.99999972580476	5.48390481129501e-07	2.74195240564751e-07
149	0.9999998959008	2.08198397268197e-07	1.04099198634098e-07
150	0.999999957716612	8.4566775679707e-08	4.22833878398535e-08
151	0.99999998443668	3.11266404008722e-08	1.55633202004361e-08
152	0.999999994362746	1.12745084933057e-08	5.63725424665286e-09
153	0.999999997968733	4.06253414920578e-09	2.03126707460289e-09
154	0.999999999349062	1.3018760597094e-09	6.50938029854699e-10
155	0.999999999772358	4.55284812354186e-10	2.27642406177093e-10
156	0.999999999920877	1.58246445599817e-10	7.91232227999083e-11
157	0.999999999969314	6.13721983500933e-11	3.06860991750466e-11
158	0.999999999990094	1.98123829079663e-11	9.90619145398315e-12
159	0.999999999997626	4.74725374915093e-12	2.37362687457547e-12
160	0.99999999999939	1.21783996598925e-12	6.08919982994626e-13
161	0.999999999999863	2.74876953518611e-13	1.37438476759305e-13
162	0.999999999999976	4.69784368303725e-14	2.34892184151863e-14
163	0.999999999999997	6.53279302165531e-15	3.26639651082766e-15
164	1	9.90828609580404e-16	4.95414304790202e-16
165	1	1.65644812957152e-16	8.28224064785759e-17
166	1	4.06669445037637e-17	2.03334722518819e-17
167	1	1.0527642268319e-17	5.26382113415949e-18
168	1	2.75258310289281e-18	1.37629155144641e-18
169	1	6.3889197801281e-19	3.19445989006405e-19
170	1	1.88524213240071e-19	9.42621066200357e-20
171	1	3.88855342361797e-20	1.94427671180898e-20
172	1	4.96758544484717e-21	2.48379272242358e-21
173	1	6.5914150680064e-22	3.2957075340032e-22
174	1	7.34287399418761e-23	3.6714369970938e-23
175	1	9.9745291974211e-24	4.98726459871055e-24
176	1	7.92876706782865e-25	3.96438353391433e-25
177	1	4.38435450071188e-26	2.19217725035594e-26
178	1	1.45360283038978e-27	7.2680141519489e-28
179	1	3.30042787516908e-29	1.65021393758454e-29
180	1	9.96125650337172e-31	4.98062825168586e-31
181	1	5.79386583128327e-32	2.89693291564163e-32
182	1	2.53317837175532e-33	1.26658918587766e-33
183	1	9.21575477535868e-35	4.60787738767934e-35
184	1	3.95110809236183e-36	1.97555404618091e-36
185	1	1.08431323359851e-37	5.42156616799256e-38
186	1	3.30632038900473e-39	1.65316019450237e-39
187	1	8.64627329551602e-41	4.32313664775801e-41
188	1	7.52819682005926e-42	3.76409841002963e-42
189	1	2.17919375944485e-42	1.08959687972242e-42
190	1	1.01189860767886e-42	5.05949303839429e-43
191	1	5.27839993129197e-43	2.63919996564598e-43
192	1	6.34516637017262e-43	3.17258318508631e-43
193	1	1.07088183305212e-42	5.3544091652606e-43
194	1	2.05983312354151e-42	1.02991656177076e-42
195	1	4.62640253360911e-42	2.31320126680456e-42
196	1	7.96212586829249e-42	3.98106293414625e-42
197	1	1.75602822592698e-41	8.7801411296349e-42
198	1	5.17084483425461e-41	2.58542241712731e-41
199	1	1.69603581204941e-40	8.48017906024705e-41
200	1	5.816315826766e-40	2.908157913383e-40
201	1	2.13054906714129e-39	1.06527453357064e-39
202	1	5.84783430774851e-39	2.92391715387426e-39
203	1	2.30149456574529e-38	1.15074728287265e-38
204	1	9.28651938309589e-38	4.64325969154794e-38
205	1	2.9179279326272e-37	1.4589639663136e-37
206	1	7.452941802503e-37	3.7264709012515e-37
207	1	2.83186756892941e-36	1.41593378446471e-36
208	1	1.15284550325245e-35	5.76422751626227e-36
209	1	3.9551331142434e-35	1.9775665571217e-35
210	1	1.70614177722886e-34	8.53070888614429e-35
211	1	7.3235317489646e-34	3.6617658744823e-34
212	1	3.03280763385758e-33	1.51640381692879e-33
213	1	1.30549123724827e-32	6.52745618624133e-33
214	1	5.62233776689458e-32	2.81116888344729e-32
215	1	2.37693332269363e-31	1.18846666134682e-31
216	1	8.15006819984663e-31	4.07503409992332e-31
217	1	1.3103728752719e-30	6.5518643763595e-31
218	1	1.33866139304303e-30	6.69330696521514e-31
219	1	1.07284570809952e-30	5.36422854049758e-31
220	1	3.8151375607041e-30	1.90756878035205e-30
221	1	1.63882413341165e-29	8.19412066705824e-30
222	1	6.42103020104968e-29	3.21051510052484e-29
223	1	2.43384462474747e-28	1.21692231237373e-28
224	1	9.50381427451822e-28	4.75190713725911e-28
225	1	3.69585841963331e-27	1.84792920981665e-27
226	1	1.31195516368685e-26	6.55977581843423e-27
227	1	4.2314955677518e-26	2.1157477838759e-26
228	1	1.6709152978964e-25	8.354576489482e-26
229	1	4.90209319194275e-25	2.45104659597137e-25
230	1	1.20841401392316e-24	6.0420700696158e-25
231	1	1.48661294952261e-24	7.43306474761304e-25
232	1	1.38010865158308e-24	6.90054325791542e-25
233	1	8.05842392212931e-25	4.02921196106466e-25
234	1	3.79776550124451e-25	1.89888275062225e-25
235	1	1.3312472900183e-25	6.65623645009151e-26
236	1	1.12589933001863e-25	5.62949665009314e-26
237	1	1.8571846759137e-25	9.2859233795685e-26
238	1	1.89623895467774e-25	9.48119477338868e-26
239	1	1.87148920209219e-25	9.35744601046094e-26
240	1	3.51521448959024e-25	1.75760724479512e-25
241	1	1.1831483778181e-24	5.91574188909052e-25
242	1	5.16595795576233e-24	2.58297897788117e-24
243	1	2.04756930770627e-23	1.02378465385313e-23
244	1	5.63124415265394e-23	2.81562207632697e-23
245	1	2.6078098012609e-22	1.30390490063045e-22
246	1	1.14632209877639e-21	5.73161049388194e-22
247	1	4.52380375701435e-21	2.26190187850718e-21
248	1	1.28065924727094e-20	6.40329623635472e-21
249	1	3.55744931296901e-20	1.77872465648451e-20
250	1	1.15088253686382e-19	5.75441268431909e-20
251	1	2.61246369926517e-19	1.30623184963258e-19
252	1	5.33144464564568e-19	2.66572232282284e-19
253	1	1.21529433697602e-18	6.07647168488008e-19
254	1	1.88793767648599e-18	9.43968838242993e-19
255	1	4.65373568784185e-18	2.32686784392092e-18
256	1	5.64470192355475e-18	2.82235096177738e-18
257	1	5.11820238625363e-18	2.55910119312681e-18
258	1	2.03989512318635e-18	1.01994756159317e-18
259	1	1.14154264883471e-18	5.70771324417354e-19
260	1	9.63189229268996e-19	4.81594614634498e-19
261	1	9.2859549354689e-19	4.64297746773445e-19
262	1	1.12926739398485e-18	5.64633696992426e-19
263	1	1.62156607487646e-18	8.10783037438232e-19
264	1	7.24360304557235e-18	3.62180152278617e-18
265	1	4.17944508761405e-17	2.08972254380703e-17
266	1	2.33869006841121e-16	1.16934503420561e-16
267	1	1.2314016093431e-16	6.15700804671552e-17
268	1	4.41492537754551e-16	2.20746268877276e-16
269	0.999999999999997	5.74939385014918e-15	2.87469692507459e-15
270	0.999999999999974	5.12836596185796e-14	2.56418298092898e-14
271	0.99999999999974	5.1861183579827e-13	2.59305917899135e-13
272	0.999999999996745	6.5103798567912e-12	3.2551899283956e-12
273	0.999999999982146	3.57076389196629e-11	1.78538194598315e-11
274	0.999999999771576	4.56847500941458e-10	2.28423750470729e-10
275	0.999999998626033	2.74793342361226e-09	1.37396671180613e-09
276	0.999999982666361	3.46672780768232e-08	1.73336390384116e-08
277	0.999999909867148	1.80265703656936e-07	9.01328518284679e-08
278	0.999999846382612	3.07234776312291e-07	1.53617388156145e-07
279	0.999999537895836	9.24208327395665e-07	4.62104163697832e-07
280	0.999988989117955	2.20217640907726e-05	1.10108820453863e-05
281	0.999792324185833	0.000415351628334686	0.000207675814167343

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
5 & 0.00142016281640544 & 0.00284032563281089 & 0.998579837183595 \tabularnewline
6 & 0.000859344866433132 & 0.00171868973286626 & 0.999140655133567 \tabularnewline
7 & 0.000438422034035862 & 0.000876844068071724 & 0.999561577965964 \tabularnewline
8 & 0.000223123280653805 & 0.00044624656130761 & 0.999776876719346 \tabularnewline
9 & 4.43559993512656e-05 & 8.87119987025312e-05 & 0.999955644000649 \tabularnewline
10 & 8.28718576986908e-06 & 1.65743715397382e-05 & 0.99999171281423 \tabularnewline
11 & 1.3733136087704e-06 & 2.74662721754081e-06 & 0.999998626686391 \tabularnewline
12 & 2.79069785912355e-07 & 5.58139571824711e-07 & 0.999999720930214 \tabularnewline
13 & 6.56622326218435e-08 & 1.31324465243687e-07 & 0.999999934337767 \tabularnewline
14 & 2.10707998080073e-08 & 4.21415996160147e-08 & 0.9999999789292 \tabularnewline
15 & 9.381491915942e-09 & 1.8762983831884e-08 & 0.999999990618508 \tabularnewline
16 & 2.47488121815595e-09 & 4.94976243631191e-09 & 0.999999997525119 \tabularnewline
17 & 5.66108655605394e-10 & 1.13221731121079e-09 & 0.999999999433891 \tabularnewline
18 & 1.09883646745965e-10 & 2.19767293491929e-10 & 0.999999999890116 \tabularnewline
19 & 1.99620398541265e-11 & 3.99240797082531e-11 & 0.999999999980038 \tabularnewline
20 & 3.81358777306222e-12 & 7.62717554612445e-12 & 0.999999999996186 \tabularnewline
21 & 8.58862766439145e-13 & 1.71772553287829e-12 & 0.99999999999914 \tabularnewline
22 & 1.83769940898104e-13 & 3.67539881796207e-13 & 0.999999999999816 \tabularnewline
23 & 5.1123227968256e-14 & 1.02246455936512e-13 & 0.999999999999949 \tabularnewline
24 & 1.25866448037163e-14 & 2.51732896074327e-14 & 0.999999999999987 \tabularnewline
25 & 3.07887190893342e-15 & 6.15774381786685e-15 & 0.999999999999997 \tabularnewline
26 & 6.9982659303671e-16 & 1.39965318607342e-15 & 1 \tabularnewline
27 & 1.51701021568454e-16 & 3.03402043136909e-16 & 1 \tabularnewline
28 & 3.6697113095805e-17 & 7.33942261916101e-17 & 1 \tabularnewline
29 & 1.33342746654518e-17 & 2.66685493309036e-17 & 1 \tabularnewline
30 & 1.51491558537402e-16 & 3.02983117074803e-16 & 1 \tabularnewline
31 & 8.97724124699628e-16 & 1.79544824939926e-15 & 1 \tabularnewline
32 & 1.73143560946785e-15 & 3.4628712189357e-15 & 0.999999999999998 \tabularnewline
33 & 2.75312535673712e-15 & 5.50625071347423e-15 & 0.999999999999997 \tabularnewline
34 & 1.46797478453455e-14 & 2.93594956906911e-14 & 0.999999999999985 \tabularnewline
35 & 2.09446486570497e-13 & 4.18892973140995e-13 & 0.99999999999979 \tabularnewline
36 & 1.42185123066338e-12 & 2.84370246132675e-12 & 0.999999999998578 \tabularnewline
37 & 2.85705175701431e-12 & 5.71410351402862e-12 & 0.999999999997143 \tabularnewline
38 & 5.11333073549758e-12 & 1.02266614709952e-11 & 0.999999999994887 \tabularnewline
39 & 2.61321766248881e-11 & 5.22643532497762e-11 & 0.999999999973868 \tabularnewline
40 & 2.65928230383026e-09 & 5.31856460766053e-09 & 0.999999997340718 \tabularnewline
41 & 4.34100353398011e-08 & 8.68200706796022e-08 & 0.999999956589965 \tabularnewline
42 & 2.54622544348433e-07 & 5.09245088696866e-07 & 0.999999745377456 \tabularnewline
43 & 1.67491682856038e-06 & 3.34983365712075e-06 & 0.999998325083171 \tabularnewline
44 & 7.84298264750704e-06 & 1.56859652950141e-05 & 0.999992157017352 \tabularnewline
45 & 2.11788009515493e-05 & 4.23576019030987e-05 & 0.999978821199048 \tabularnewline
46 & 4.30034158981435e-05 & 8.6006831796287e-05 & 0.999956996584102 \tabularnewline
47 & 6.0996066510106e-05 & 0.000121992133020212 & 0.99993900393349 \tabularnewline
48 & 6.99521492941697e-05 & 0.000139904298588339 & 0.999930047850706 \tabularnewline
49 & 6.57925778601635e-05 & 0.000131585155720327 & 0.99993420742214 \tabularnewline
50 & 5.40260293745452e-05 & 0.00010805205874909 & 0.999945973970625 \tabularnewline
51 & 4.46370098436196e-05 & 8.92740196872392e-05 & 0.999955362990156 \tabularnewline
52 & 3.32333132745727e-05 & 6.64666265491453e-05 & 0.999966766686725 \tabularnewline
53 & 2.4113331739633e-05 & 4.8226663479266e-05 & 0.99997588666826 \tabularnewline
54 & 1.59945533152605e-05 & 3.1989106630521e-05 & 0.999984005446685 \tabularnewline
55 & 1.02193778344582e-05 & 2.04387556689164e-05 & 0.999989780622166 \tabularnewline
56 & 6.49249195501969e-06 & 1.29849839100394e-05 & 0.999993507508045 \tabularnewline
57 & 4.22418754511112e-06 & 8.44837509022224e-06 & 0.999995775812455 \tabularnewline
58 & 3.55102095153468e-06 & 7.10204190306935e-06 & 0.999996448979048 \tabularnewline
59 & 2.75966946920953e-06 & 5.51933893841906e-06 & 0.99999724033053 \tabularnewline
60 & 2.51246548550635e-06 & 5.02493097101271e-06 & 0.999997487534514 \tabularnewline
61 & 2.26241807743e-06 & 4.52483615486e-06 & 0.999997737581923 \tabularnewline
62 & 1.71607364588904e-06 & 3.43214729177808e-06 & 0.999998283926354 \tabularnewline
63 & 1.44847811092206e-06 & 2.89695622184413e-06 & 0.99999855152189 \tabularnewline
64 & 1.58555352193038e-06 & 3.17110704386075e-06 & 0.999998414446478 \tabularnewline
65 & 1.91782865784088e-06 & 3.83565731568176e-06 & 0.999998082171342 \tabularnewline
66 & 2.29092446363944e-06 & 4.58184892727888e-06 & 0.999997709075536 \tabularnewline
67 & 3.41742409915665e-06 & 6.8348481983133e-06 & 0.9999965825759 \tabularnewline
68 & 5.11398614958979e-06 & 1.02279722991796e-05 & 0.99999488601385 \tabularnewline
69 & 7.24058680988496e-06 & 1.44811736197699e-05 & 0.99999275941319 \tabularnewline
70 & 8.52832201428333e-06 & 1.70566440285667e-05 & 0.999991471677986 \tabularnewline
71 & 9.3930253714044e-06 & 1.87860507428088e-05 & 0.999990606974629 \tabularnewline
72 & 1.06489076510854e-05 & 2.12978153021708e-05 & 0.999989351092349 \tabularnewline
73 & 1.19020835148337e-05 & 2.38041670296674e-05 & 0.999988097916485 \tabularnewline
74 & 1.30548874310672e-05 & 2.61097748621344e-05 & 0.999986945112569 \tabularnewline
75 & 1.60692859114689e-05 & 3.21385718229379e-05 & 0.999983930714089 \tabularnewline
76 & 1.79992943810243e-05 & 3.59985887620486e-05 & 0.999982000705619 \tabularnewline
77 & 1.8980305376965e-05 & 3.796061075393e-05 & 0.999981019694623 \tabularnewline
78 & 1.95482443843069e-05 & 3.90964887686138e-05 & 0.999980451755616 \tabularnewline
79 & 2.02705827086588e-05 & 4.05411654173175e-05 & 0.999979729417291 \tabularnewline
80 & 2.03401816057121e-05 & 4.06803632114242e-05 & 0.999979659818394 \tabularnewline
81 & 2.00499960462233e-05 & 4.00999920924466e-05 & 0.999979950003954 \tabularnewline
82 & 2.25705762185701e-05 & 4.51411524371402e-05 & 0.999977429423781 \tabularnewline
83 & 3.10934601974589e-05 & 6.21869203949177e-05 & 0.999968906539803 \tabularnewline
84 & 4.85208681947617e-05 & 9.70417363895235e-05 & 0.999951479131805 \tabularnewline
85 & 9.69653991841924e-05 & 0.000193930798368385 & 0.999903034600816 \tabularnewline
86 & 0.00027376467962529 & 0.00054752935925058 & 0.999726235320375 \tabularnewline
87 & 0.000605318666865793 & 0.00121063733373159 & 0.999394681333134 \tabularnewline
88 & 0.00100529810845089 & 0.00201059621690179 & 0.99899470189155 \tabularnewline
89 & 0.00142319190060048 & 0.00284638380120097 & 0.9985768080994 \tabularnewline
90 & 0.00188493058794108 & 0.00376986117588215 & 0.998115069412059 \tabularnewline
91 & 0.00225073315718729 & 0.00450146631437459 & 0.997749266842813 \tabularnewline
92 & 0.00328525880063414 & 0.00657051760126828 & 0.996714741199366 \tabularnewline
93 & 0.00545164260751843 & 0.0109032852150369 & 0.994548357392482 \tabularnewline
94 & 0.00861248948482317 & 0.0172249789696463 & 0.991387510515177 \tabularnewline
95 & 0.012053924724272 & 0.0241078494485439 & 0.987946075275728 \tabularnewline
96 & 0.0165012510569962 & 0.0330025021139924 & 0.983498748943004 \tabularnewline
97 & 0.0220805833776284 & 0.0441611667552569 & 0.977919416622372 \tabularnewline
98 & 0.0247302464632834 & 0.0494604929265667 & 0.975269753536717 \tabularnewline
99 & 0.0279089664174036 & 0.0558179328348072 & 0.972091033582596 \tabularnewline
100 & 0.031665660775597 & 0.063331321551194 & 0.968334339224403 \tabularnewline
101 & 0.0361931313909916 & 0.0723862627819832 & 0.963806868609008 \tabularnewline
102 & 0.0434961496799944 & 0.0869922993599888 & 0.956503850320006 \tabularnewline
103 & 0.0559647175967901 & 0.11192943519358 & 0.94403528240321 \tabularnewline
104 & 0.0723069660267005 & 0.144613932053401 & 0.9276930339733 \tabularnewline
105 & 0.090169256572946 & 0.180338513145892 & 0.909830743427054 \tabularnewline
106 & 0.11139017753534 & 0.22278035507068 & 0.88860982246466 \tabularnewline
107 & 0.139204692666555 & 0.27840938533311 & 0.860795307333445 \tabularnewline
108 & 0.175596027633673 & 0.351192055267347 & 0.824403972366327 \tabularnewline
109 & 0.207923120725913 & 0.415846241451825 & 0.792076879274087 \tabularnewline
110 & 0.24680608213531 & 0.493612164270621 & 0.75319391786469 \tabularnewline
111 & 0.298390581446232 & 0.596781162892465 & 0.701609418553768 \tabularnewline
112 & 0.358711637221565 & 0.717423274443131 & 0.641288362778435 \tabularnewline
113 & 0.426078256295982 & 0.852156512591964 & 0.573921743704018 \tabularnewline
114 & 0.505002298001315 & 0.98999540399737 & 0.494997701998685 \tabularnewline
115 & 0.584839710928105 & 0.83032057814379 & 0.415160289071895 \tabularnewline
116 & 0.671786661371213 & 0.656426677257575 & 0.328213338628787 \tabularnewline
117 & 0.740202730591 & 0.519594538817999 & 0.259797269408999 \tabularnewline
118 & 0.789289872348934 & 0.421420255302132 & 0.210710127651066 \tabularnewline
119 & 0.82856011581187 & 0.34287976837626 & 0.17143988418813 \tabularnewline
120 & 0.862315250938935 & 0.27536949812213 & 0.137684749061065 \tabularnewline
121 & 0.890148817564196 & 0.219702364871608 & 0.109851182435804 \tabularnewline
122 & 0.912985173279116 & 0.174029653441769 & 0.0870148267208844 \tabularnewline
123 & 0.932752379008023 & 0.134495241983954 & 0.0672476209919771 \tabularnewline
124 & 0.948194039945196 & 0.103611920109607 & 0.0518059600548036 \tabularnewline
125 & 0.96038551870234 & 0.0792289625953197 & 0.0396144812976599 \tabularnewline
126 & 0.970655848502232 & 0.0586883029955351 & 0.0293441514977675 \tabularnewline
127 & 0.978991597669683 & 0.0420168046606343 & 0.0210084023303171 \tabularnewline
128 & 0.984781885887417 & 0.0304362282251669 & 0.0152181141125834 \tabularnewline
129 & 0.988696489554016 & 0.022607020891968 & 0.011303510445984 \tabularnewline
130 & 0.991623263367916 & 0.0167534732641676 & 0.00837673663208378 \tabularnewline
131 & 0.994096805411199 & 0.011806389177602 & 0.005903194588801 \tabularnewline
132 & 0.99614282569958 & 0.00771434860083866 & 0.00385717430041933 \tabularnewline
133 & 0.997453584676281 & 0.00509283064743734 & 0.00254641532371867 \tabularnewline
134 & 0.998191339180079 & 0.00361732163984304 & 0.00180866081992152 \tabularnewline
135 & 0.998581186150165 & 0.00283762769967026 & 0.00141881384983513 \tabularnewline
136 & 0.998863703135331 & 0.00227259372933707 & 0.00113629686466854 \tabularnewline
137 & 0.99909113375701 & 0.00181773248598255 & 0.000908866242991275 \tabularnewline
138 & 0.999318246249154 & 0.00136350750169252 & 0.000681753750846258 \tabularnewline
139 & 0.999498476609162 & 0.00100304678167649 & 0.000501523390838245 \tabularnewline
140 & 0.99966758644894 & 0.0006648271021215 & 0.00033241355106075 \tabularnewline
141 & 0.99982715577251 & 0.00034568845497921 & 0.000172844227489605 \tabularnewline
142 & 0.999912655954253 & 0.000174688091494792 & 8.73440457473959e-05 \tabularnewline
143 & 0.999957795539932 & 8.44089201349629e-05 & 4.22044600674814e-05 \tabularnewline
144 & 0.999981133723766 & 3.77325524683569e-05 & 1.88662762341785e-05 \tabularnewline
145 & 0.99999334981424 & 1.33003715213885e-05 & 6.65018576069423e-06 \tabularnewline
146 & 0.999997658416387 & 4.68316722519117e-06 & 2.34158361259559e-06 \tabularnewline
147 & 0.999999238585882 & 1.52282823518498e-06 & 7.6141411759249e-07 \tabularnewline
148 & 0.99999972580476 & 5.48390481129501e-07 & 2.74195240564751e-07 \tabularnewline
149 & 0.9999998959008 & 2.08198397268197e-07 & 1.04099198634098e-07 \tabularnewline
150 & 0.999999957716612 & 8.4566775679707e-08 & 4.22833878398535e-08 \tabularnewline
151 & 0.99999998443668 & 3.11266404008722e-08 & 1.55633202004361e-08 \tabularnewline
152 & 0.999999994362746 & 1.12745084933057e-08 & 5.63725424665286e-09 \tabularnewline
153 & 0.999999997968733 & 4.06253414920578e-09 & 2.03126707460289e-09 \tabularnewline
154 & 0.999999999349062 & 1.3018760597094e-09 & 6.50938029854699e-10 \tabularnewline
155 & 0.999999999772358 & 4.55284812354186e-10 & 2.27642406177093e-10 \tabularnewline
156 & 0.999999999920877 & 1.58246445599817e-10 & 7.91232227999083e-11 \tabularnewline
157 & 0.999999999969314 & 6.13721983500933e-11 & 3.06860991750466e-11 \tabularnewline
158 & 0.999999999990094 & 1.98123829079663e-11 & 9.90619145398315e-12 \tabularnewline
159 & 0.999999999997626 & 4.74725374915093e-12 & 2.37362687457547e-12 \tabularnewline
160 & 0.99999999999939 & 1.21783996598925e-12 & 6.08919982994626e-13 \tabularnewline
161 & 0.999999999999863 & 2.74876953518611e-13 & 1.37438476759305e-13 \tabularnewline
162 & 0.999999999999976 & 4.69784368303725e-14 & 2.34892184151863e-14 \tabularnewline
163 & 0.999999999999997 & 6.53279302165531e-15 & 3.26639651082766e-15 \tabularnewline
164 & 1 & 9.90828609580404e-16 & 4.95414304790202e-16 \tabularnewline
165 & 1 & 1.65644812957152e-16 & 8.28224064785759e-17 \tabularnewline
166 & 1 & 4.06669445037637e-17 & 2.03334722518819e-17 \tabularnewline
167 & 1 & 1.0527642268319e-17 & 5.26382113415949e-18 \tabularnewline
168 & 1 & 2.75258310289281e-18 & 1.37629155144641e-18 \tabularnewline
169 & 1 & 6.3889197801281e-19 & 3.19445989006405e-19 \tabularnewline
170 & 1 & 1.88524213240071e-19 & 9.42621066200357e-20 \tabularnewline
171 & 1 & 3.88855342361797e-20 & 1.94427671180898e-20 \tabularnewline
172 & 1 & 4.96758544484717e-21 & 2.48379272242358e-21 \tabularnewline
173 & 1 & 6.5914150680064e-22 & 3.2957075340032e-22 \tabularnewline
174 & 1 & 7.34287399418761e-23 & 3.6714369970938e-23 \tabularnewline
175 & 1 & 9.9745291974211e-24 & 4.98726459871055e-24 \tabularnewline
176 & 1 & 7.92876706782865e-25 & 3.96438353391433e-25 \tabularnewline
177 & 1 & 4.38435450071188e-26 & 2.19217725035594e-26 \tabularnewline
178 & 1 & 1.45360283038978e-27 & 7.2680141519489e-28 \tabularnewline
179 & 1 & 3.30042787516908e-29 & 1.65021393758454e-29 \tabularnewline
180 & 1 & 9.96125650337172e-31 & 4.98062825168586e-31 \tabularnewline
181 & 1 & 5.79386583128327e-32 & 2.89693291564163e-32 \tabularnewline
182 & 1 & 2.53317837175532e-33 & 1.26658918587766e-33 \tabularnewline
183 & 1 & 9.21575477535868e-35 & 4.60787738767934e-35 \tabularnewline
184 & 1 & 3.95110809236183e-36 & 1.97555404618091e-36 \tabularnewline
185 & 1 & 1.08431323359851e-37 & 5.42156616799256e-38 \tabularnewline
186 & 1 & 3.30632038900473e-39 & 1.65316019450237e-39 \tabularnewline
187 & 1 & 8.64627329551602e-41 & 4.32313664775801e-41 \tabularnewline
188 & 1 & 7.52819682005926e-42 & 3.76409841002963e-42 \tabularnewline
189 & 1 & 2.17919375944485e-42 & 1.08959687972242e-42 \tabularnewline
190 & 1 & 1.01189860767886e-42 & 5.05949303839429e-43 \tabularnewline
191 & 1 & 5.27839993129197e-43 & 2.63919996564598e-43 \tabularnewline
192 & 1 & 6.34516637017262e-43 & 3.17258318508631e-43 \tabularnewline
193 & 1 & 1.07088183305212e-42 & 5.3544091652606e-43 \tabularnewline
194 & 1 & 2.05983312354151e-42 & 1.02991656177076e-42 \tabularnewline
195 & 1 & 4.62640253360911e-42 & 2.31320126680456e-42 \tabularnewline
196 & 1 & 7.96212586829249e-42 & 3.98106293414625e-42 \tabularnewline
197 & 1 & 1.75602822592698e-41 & 8.7801411296349e-42 \tabularnewline
198 & 1 & 5.17084483425461e-41 & 2.58542241712731e-41 \tabularnewline
199 & 1 & 1.69603581204941e-40 & 8.48017906024705e-41 \tabularnewline
200 & 1 & 5.816315826766e-40 & 2.908157913383e-40 \tabularnewline
201 & 1 & 2.13054906714129e-39 & 1.06527453357064e-39 \tabularnewline
202 & 1 & 5.84783430774851e-39 & 2.92391715387426e-39 \tabularnewline
203 & 1 & 2.30149456574529e-38 & 1.15074728287265e-38 \tabularnewline
204 & 1 & 9.28651938309589e-38 & 4.64325969154794e-38 \tabularnewline
205 & 1 & 2.9179279326272e-37 & 1.4589639663136e-37 \tabularnewline
206 & 1 & 7.452941802503e-37 & 3.7264709012515e-37 \tabularnewline
207 & 1 & 2.83186756892941e-36 & 1.41593378446471e-36 \tabularnewline
208 & 1 & 1.15284550325245e-35 & 5.76422751626227e-36 \tabularnewline
209 & 1 & 3.9551331142434e-35 & 1.9775665571217e-35 \tabularnewline
210 & 1 & 1.70614177722886e-34 & 8.53070888614429e-35 \tabularnewline
211 & 1 & 7.3235317489646e-34 & 3.6617658744823e-34 \tabularnewline
212 & 1 & 3.03280763385758e-33 & 1.51640381692879e-33 \tabularnewline
213 & 1 & 1.30549123724827e-32 & 6.52745618624133e-33 \tabularnewline
214 & 1 & 5.62233776689458e-32 & 2.81116888344729e-32 \tabularnewline
215 & 1 & 2.37693332269363e-31 & 1.18846666134682e-31 \tabularnewline
216 & 1 & 8.15006819984663e-31 & 4.07503409992332e-31 \tabularnewline
217 & 1 & 1.3103728752719e-30 & 6.5518643763595e-31 \tabularnewline
218 & 1 & 1.33866139304303e-30 & 6.69330696521514e-31 \tabularnewline
219 & 1 & 1.07284570809952e-30 & 5.36422854049758e-31 \tabularnewline
220 & 1 & 3.8151375607041e-30 & 1.90756878035205e-30 \tabularnewline
221 & 1 & 1.63882413341165e-29 & 8.19412066705824e-30 \tabularnewline
222 & 1 & 6.42103020104968e-29 & 3.21051510052484e-29 \tabularnewline
223 & 1 & 2.43384462474747e-28 & 1.21692231237373e-28 \tabularnewline
224 & 1 & 9.50381427451822e-28 & 4.75190713725911e-28 \tabularnewline
225 & 1 & 3.69585841963331e-27 & 1.84792920981665e-27 \tabularnewline
226 & 1 & 1.31195516368685e-26 & 6.55977581843423e-27 \tabularnewline
227 & 1 & 4.2314955677518e-26 & 2.1157477838759e-26 \tabularnewline
228 & 1 & 1.6709152978964e-25 & 8.354576489482e-26 \tabularnewline
229 & 1 & 4.90209319194275e-25 & 2.45104659597137e-25 \tabularnewline
230 & 1 & 1.20841401392316e-24 & 6.0420700696158e-25 \tabularnewline
231 & 1 & 1.48661294952261e-24 & 7.43306474761304e-25 \tabularnewline
232 & 1 & 1.38010865158308e-24 & 6.90054325791542e-25 \tabularnewline
233 & 1 & 8.05842392212931e-25 & 4.02921196106466e-25 \tabularnewline
234 & 1 & 3.79776550124451e-25 & 1.89888275062225e-25 \tabularnewline
235 & 1 & 1.3312472900183e-25 & 6.65623645009151e-26 \tabularnewline
236 & 1 & 1.12589933001863e-25 & 5.62949665009314e-26 \tabularnewline
237 & 1 & 1.8571846759137e-25 & 9.2859233795685e-26 \tabularnewline
238 & 1 & 1.89623895467774e-25 & 9.48119477338868e-26 \tabularnewline
239 & 1 & 1.87148920209219e-25 & 9.35744601046094e-26 \tabularnewline
240 & 1 & 3.51521448959024e-25 & 1.75760724479512e-25 \tabularnewline
241 & 1 & 1.1831483778181e-24 & 5.91574188909052e-25 \tabularnewline
242 & 1 & 5.16595795576233e-24 & 2.58297897788117e-24 \tabularnewline
243 & 1 & 2.04756930770627e-23 & 1.02378465385313e-23 \tabularnewline
244 & 1 & 5.63124415265394e-23 & 2.81562207632697e-23 \tabularnewline
245 & 1 & 2.6078098012609e-22 & 1.30390490063045e-22 \tabularnewline
246 & 1 & 1.14632209877639e-21 & 5.73161049388194e-22 \tabularnewline
247 & 1 & 4.52380375701435e-21 & 2.26190187850718e-21 \tabularnewline
248 & 1 & 1.28065924727094e-20 & 6.40329623635472e-21 \tabularnewline
249 & 1 & 3.55744931296901e-20 & 1.77872465648451e-20 \tabularnewline
250 & 1 & 1.15088253686382e-19 & 5.75441268431909e-20 \tabularnewline
251 & 1 & 2.61246369926517e-19 & 1.30623184963258e-19 \tabularnewline
252 & 1 & 5.33144464564568e-19 & 2.66572232282284e-19 \tabularnewline
253 & 1 & 1.21529433697602e-18 & 6.07647168488008e-19 \tabularnewline
254 & 1 & 1.88793767648599e-18 & 9.43968838242993e-19 \tabularnewline
255 & 1 & 4.65373568784185e-18 & 2.32686784392092e-18 \tabularnewline
256 & 1 & 5.64470192355475e-18 & 2.82235096177738e-18 \tabularnewline
257 & 1 & 5.11820238625363e-18 & 2.55910119312681e-18 \tabularnewline
258 & 1 & 2.03989512318635e-18 & 1.01994756159317e-18 \tabularnewline
259 & 1 & 1.14154264883471e-18 & 5.70771324417354e-19 \tabularnewline
260 & 1 & 9.63189229268996e-19 & 4.81594614634498e-19 \tabularnewline
261 & 1 & 9.2859549354689e-19 & 4.64297746773445e-19 \tabularnewline
262 & 1 & 1.12926739398485e-18 & 5.64633696992426e-19 \tabularnewline
263 & 1 & 1.62156607487646e-18 & 8.10783037438232e-19 \tabularnewline
264 & 1 & 7.24360304557235e-18 & 3.62180152278617e-18 \tabularnewline
265 & 1 & 4.17944508761405e-17 & 2.08972254380703e-17 \tabularnewline
266 & 1 & 2.33869006841121e-16 & 1.16934503420561e-16 \tabularnewline
267 & 1 & 1.2314016093431e-16 & 6.15700804671552e-17 \tabularnewline
268 & 1 & 4.41492537754551e-16 & 2.20746268877276e-16 \tabularnewline
269 & 0.999999999999997 & 5.74939385014918e-15 & 2.87469692507459e-15 \tabularnewline
270 & 0.999999999999974 & 5.12836596185796e-14 & 2.56418298092898e-14 \tabularnewline
271 & 0.99999999999974 & 5.1861183579827e-13 & 2.59305917899135e-13 \tabularnewline
272 & 0.999999999996745 & 6.5103798567912e-12 & 3.2551899283956e-12 \tabularnewline
273 & 0.999999999982146 & 3.57076389196629e-11 & 1.78538194598315e-11 \tabularnewline
274 & 0.999999999771576 & 4.56847500941458e-10 & 2.28423750470729e-10 \tabularnewline
275 & 0.999999998626033 & 2.74793342361226e-09 & 1.37396671180613e-09 \tabularnewline
276 & 0.999999982666361 & 3.46672780768232e-08 & 1.73336390384116e-08 \tabularnewline
277 & 0.999999909867148 & 1.80265703656936e-07 & 9.01328518284679e-08 \tabularnewline
278 & 0.999999846382612 & 3.07234776312291e-07 & 1.53617388156145e-07 \tabularnewline
279 & 0.999999537895836 & 9.24208327395665e-07 & 4.62104163697832e-07 \tabularnewline
280 & 0.999988989117955 & 2.20217640907726e-05 & 1.10108820453863e-05 \tabularnewline
281 & 0.999792324185833 & 0.000415351628334686 & 0.000207675814167343 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114027&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]5[/C][C]0.00142016281640544[/C][C]0.00284032563281089[/C][C]0.998579837183595[/C][/ROW]
[ROW][C]6[/C][C]0.000859344866433132[/C][C]0.00171868973286626[/C][C]0.999140655133567[/C][/ROW]
[ROW][C]7[/C][C]0.000438422034035862[/C][C]0.000876844068071724[/C][C]0.999561577965964[/C][/ROW]
[ROW][C]8[/C][C]0.000223123280653805[/C][C]0.00044624656130761[/C][C]0.999776876719346[/C][/ROW]
[ROW][C]9[/C][C]4.43559993512656e-05[/C][C]8.87119987025312e-05[/C][C]0.999955644000649[/C][/ROW]
[ROW][C]10[/C][C]8.28718576986908e-06[/C][C]1.65743715397382e-05[/C][C]0.99999171281423[/C][/ROW]
[ROW][C]11[/C][C]1.3733136087704e-06[/C][C]2.74662721754081e-06[/C][C]0.999998626686391[/C][/ROW]
[ROW][C]12[/C][C]2.79069785912355e-07[/C][C]5.58139571824711e-07[/C][C]0.999999720930214[/C][/ROW]
[ROW][C]13[/C][C]6.56622326218435e-08[/C][C]1.31324465243687e-07[/C][C]0.999999934337767[/C][/ROW]
[ROW][C]14[/C][C]2.10707998080073e-08[/C][C]4.21415996160147e-08[/C][C]0.9999999789292[/C][/ROW]
[ROW][C]15[/C][C]9.381491915942e-09[/C][C]1.8762983831884e-08[/C][C]0.999999990618508[/C][/ROW]
[ROW][C]16[/C][C]2.47488121815595e-09[/C][C]4.94976243631191e-09[/C][C]0.999999997525119[/C][/ROW]
[ROW][C]17[/C][C]5.66108655605394e-10[/C][C]1.13221731121079e-09[/C][C]0.999999999433891[/C][/ROW]
[ROW][C]18[/C][C]1.09883646745965e-10[/C][C]2.19767293491929e-10[/C][C]0.999999999890116[/C][/ROW]
[ROW][C]19[/C][C]1.99620398541265e-11[/C][C]3.99240797082531e-11[/C][C]0.999999999980038[/C][/ROW]
[ROW][C]20[/C][C]3.81358777306222e-12[/C][C]7.62717554612445e-12[/C][C]0.999999999996186[/C][/ROW]
[ROW][C]21[/C][C]8.58862766439145e-13[/C][C]1.71772553287829e-12[/C][C]0.99999999999914[/C][/ROW]
[ROW][C]22[/C][C]1.83769940898104e-13[/C][C]3.67539881796207e-13[/C][C]0.999999999999816[/C][/ROW]
[ROW][C]23[/C][C]5.1123227968256e-14[/C][C]1.02246455936512e-13[/C][C]0.999999999999949[/C][/ROW]
[ROW][C]24[/C][C]1.25866448037163e-14[/C][C]2.51732896074327e-14[/C][C]0.999999999999987[/C][/ROW]
[ROW][C]25[/C][C]3.07887190893342e-15[/C][C]6.15774381786685e-15[/C][C]0.999999999999997[/C][/ROW]
[ROW][C]26[/C][C]6.9982659303671e-16[/C][C]1.39965318607342e-15[/C][C]1[/C][/ROW]
[ROW][C]27[/C][C]1.51701021568454e-16[/C][C]3.03402043136909e-16[/C][C]1[/C][/ROW]
[ROW][C]28[/C][C]3.6697113095805e-17[/C][C]7.33942261916101e-17[/C][C]1[/C][/ROW]
[ROW][C]29[/C][C]1.33342746654518e-17[/C][C]2.66685493309036e-17[/C][C]1[/C][/ROW]
[ROW][C]30[/C][C]1.51491558537402e-16[/C][C]3.02983117074803e-16[/C][C]1[/C][/ROW]
[ROW][C]31[/C][C]8.97724124699628e-16[/C][C]1.79544824939926e-15[/C][C]1[/C][/ROW]
[ROW][C]32[/C][C]1.73143560946785e-15[/C][C]3.4628712189357e-15[/C][C]0.999999999999998[/C][/ROW]
[ROW][C]33[/C][C]2.75312535673712e-15[/C][C]5.50625071347423e-15[/C][C]0.999999999999997[/C][/ROW]
[ROW][C]34[/C][C]1.46797478453455e-14[/C][C]2.93594956906911e-14[/C][C]0.999999999999985[/C][/ROW]
[ROW][C]35[/C][C]2.09446486570497e-13[/C][C]4.18892973140995e-13[/C][C]0.99999999999979[/C][/ROW]
[ROW][C]36[/C][C]1.42185123066338e-12[/C][C]2.84370246132675e-12[/C][C]0.999999999998578[/C][/ROW]
[ROW][C]37[/C][C]2.85705175701431e-12[/C][C]5.71410351402862e-12[/C][C]0.999999999997143[/C][/ROW]
[ROW][C]38[/C][C]5.11333073549758e-12[/C][C]1.02266614709952e-11[/C][C]0.999999999994887[/C][/ROW]
[ROW][C]39[/C][C]2.61321766248881e-11[/C][C]5.22643532497762e-11[/C][C]0.999999999973868[/C][/ROW]
[ROW][C]40[/C][C]2.65928230383026e-09[/C][C]5.31856460766053e-09[/C][C]0.999999997340718[/C][/ROW]
[ROW][C]41[/C][C]4.34100353398011e-08[/C][C]8.68200706796022e-08[/C][C]0.999999956589965[/C][/ROW]
[ROW][C]42[/C][C]2.54622544348433e-07[/C][C]5.09245088696866e-07[/C][C]0.999999745377456[/C][/ROW]
[ROW][C]43[/C][C]1.67491682856038e-06[/C][C]3.34983365712075e-06[/C][C]0.999998325083171[/C][/ROW]
[ROW][C]44[/C][C]7.84298264750704e-06[/C][C]1.56859652950141e-05[/C][C]0.999992157017352[/C][/ROW]
[ROW][C]45[/C][C]2.11788009515493e-05[/C][C]4.23576019030987e-05[/C][C]0.999978821199048[/C][/ROW]
[ROW][C]46[/C][C]4.30034158981435e-05[/C][C]8.6006831796287e-05[/C][C]0.999956996584102[/C][/ROW]
[ROW][C]47[/C][C]6.0996066510106e-05[/C][C]0.000121992133020212[/C][C]0.99993900393349[/C][/ROW]
[ROW][C]48[/C][C]6.99521492941697e-05[/C][C]0.000139904298588339[/C][C]0.999930047850706[/C][/ROW]
[ROW][C]49[/C][C]6.57925778601635e-05[/C][C]0.000131585155720327[/C][C]0.99993420742214[/C][/ROW]
[ROW][C]50[/C][C]5.40260293745452e-05[/C][C]0.00010805205874909[/C][C]0.999945973970625[/C][/ROW]
[ROW][C]51[/C][C]4.46370098436196e-05[/C][C]8.92740196872392e-05[/C][C]0.999955362990156[/C][/ROW]
[ROW][C]52[/C][C]3.32333132745727e-05[/C][C]6.64666265491453e-05[/C][C]0.999966766686725[/C][/ROW]
[ROW][C]53[/C][C]2.4113331739633e-05[/C][C]4.8226663479266e-05[/C][C]0.99997588666826[/C][/ROW]
[ROW][C]54[/C][C]1.59945533152605e-05[/C][C]3.1989106630521e-05[/C][C]0.999984005446685[/C][/ROW]
[ROW][C]55[/C][C]1.02193778344582e-05[/C][C]2.04387556689164e-05[/C][C]0.999989780622166[/C][/ROW]
[ROW][C]56[/C][C]6.49249195501969e-06[/C][C]1.29849839100394e-05[/C][C]0.999993507508045[/C][/ROW]
[ROW][C]57[/C][C]4.22418754511112e-06[/C][C]8.44837509022224e-06[/C][C]0.999995775812455[/C][/ROW]
[ROW][C]58[/C][C]3.55102095153468e-06[/C][C]7.10204190306935e-06[/C][C]0.999996448979048[/C][/ROW]
[ROW][C]59[/C][C]2.75966946920953e-06[/C][C]5.51933893841906e-06[/C][C]0.99999724033053[/C][/ROW]
[ROW][C]60[/C][C]2.51246548550635e-06[/C][C]5.02493097101271e-06[/C][C]0.999997487534514[/C][/ROW]
[ROW][C]61[/C][C]2.26241807743e-06[/C][C]4.52483615486e-06[/C][C]0.999997737581923[/C][/ROW]
[ROW][C]62[/C][C]1.71607364588904e-06[/C][C]3.43214729177808e-06[/C][C]0.999998283926354[/C][/ROW]
[ROW][C]63[/C][C]1.44847811092206e-06[/C][C]2.89695622184413e-06[/C][C]0.99999855152189[/C][/ROW]
[ROW][C]64[/C][C]1.58555352193038e-06[/C][C]3.17110704386075e-06[/C][C]0.999998414446478[/C][/ROW]
[ROW][C]65[/C][C]1.91782865784088e-06[/C][C]3.83565731568176e-06[/C][C]0.999998082171342[/C][/ROW]
[ROW][C]66[/C][C]2.29092446363944e-06[/C][C]4.58184892727888e-06[/C][C]0.999997709075536[/C][/ROW]
[ROW][C]67[/C][C]3.41742409915665e-06[/C][C]6.8348481983133e-06[/C][C]0.9999965825759[/C][/ROW]
[ROW][C]68[/C][C]5.11398614958979e-06[/C][C]1.02279722991796e-05[/C][C]0.99999488601385[/C][/ROW]
[ROW][C]69[/C][C]7.24058680988496e-06[/C][C]1.44811736197699e-05[/C][C]0.99999275941319[/C][/ROW]
[ROW][C]70[/C][C]8.52832201428333e-06[/C][C]1.70566440285667e-05[/C][C]0.999991471677986[/C][/ROW]
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[ROW][C]76[/C][C]1.79992943810243e-05[/C][C]3.59985887620486e-05[/C][C]0.999982000705619[/C][/ROW]
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[ROW][C]81[/C][C]2.00499960462233e-05[/C][C]4.00999920924466e-05[/C][C]0.999979950003954[/C][/ROW]
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[ROW][C]85[/C][C]9.69653991841924e-05[/C][C]0.000193930798368385[/C][C]0.999903034600816[/C][/ROW]
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[ROW][C]182[/C][C]1[/C][C]2.53317837175532e-33[/C][C]1.26658918587766e-33[/C][/ROW]
[ROW][C]183[/C][C]1[/C][C]9.21575477535868e-35[/C][C]4.60787738767934e-35[/C][/ROW]
[ROW][C]184[/C][C]1[/C][C]3.95110809236183e-36[/C][C]1.97555404618091e-36[/C][/ROW]
[ROW][C]185[/C][C]1[/C][C]1.08431323359851e-37[/C][C]5.42156616799256e-38[/C][/ROW]
[ROW][C]186[/C][C]1[/C][C]3.30632038900473e-39[/C][C]1.65316019450237e-39[/C][/ROW]
[ROW][C]187[/C][C]1[/C][C]8.64627329551602e-41[/C][C]4.32313664775801e-41[/C][/ROW]
[ROW][C]188[/C][C]1[/C][C]7.52819682005926e-42[/C][C]3.76409841002963e-42[/C][/ROW]
[ROW][C]189[/C][C]1[/C][C]2.17919375944485e-42[/C][C]1.08959687972242e-42[/C][/ROW]
[ROW][C]190[/C][C]1[/C][C]1.01189860767886e-42[/C][C]5.05949303839429e-43[/C][/ROW]
[ROW][C]191[/C][C]1[/C][C]5.27839993129197e-43[/C][C]2.63919996564598e-43[/C][/ROW]
[ROW][C]192[/C][C]1[/C][C]6.34516637017262e-43[/C][C]3.17258318508631e-43[/C][/ROW]
[ROW][C]193[/C][C]1[/C][C]1.07088183305212e-42[/C][C]5.3544091652606e-43[/C][/ROW]
[ROW][C]194[/C][C]1[/C][C]2.05983312354151e-42[/C][C]1.02991656177076e-42[/C][/ROW]
[ROW][C]195[/C][C]1[/C][C]4.62640253360911e-42[/C][C]2.31320126680456e-42[/C][/ROW]
[ROW][C]196[/C][C]1[/C][C]7.96212586829249e-42[/C][C]3.98106293414625e-42[/C][/ROW]
[ROW][C]197[/C][C]1[/C][C]1.75602822592698e-41[/C][C]8.7801411296349e-42[/C][/ROW]
[ROW][C]198[/C][C]1[/C][C]5.17084483425461e-41[/C][C]2.58542241712731e-41[/C][/ROW]
[ROW][C]199[/C][C]1[/C][C]1.69603581204941e-40[/C][C]8.48017906024705e-41[/C][/ROW]
[ROW][C]200[/C][C]1[/C][C]5.816315826766e-40[/C][C]2.908157913383e-40[/C][/ROW]
[ROW][C]201[/C][C]1[/C][C]2.13054906714129e-39[/C][C]1.06527453357064e-39[/C][/ROW]
[ROW][C]202[/C][C]1[/C][C]5.84783430774851e-39[/C][C]2.92391715387426e-39[/C][/ROW]
[ROW][C]203[/C][C]1[/C][C]2.30149456574529e-38[/C][C]1.15074728287265e-38[/C][/ROW]
[ROW][C]204[/C][C]1[/C][C]9.28651938309589e-38[/C][C]4.64325969154794e-38[/C][/ROW]
[ROW][C]205[/C][C]1[/C][C]2.9179279326272e-37[/C][C]1.4589639663136e-37[/C][/ROW]
[ROW][C]206[/C][C]1[/C][C]7.452941802503e-37[/C][C]3.7264709012515e-37[/C][/ROW]
[ROW][C]207[/C][C]1[/C][C]2.83186756892941e-36[/C][C]1.41593378446471e-36[/C][/ROW]
[ROW][C]208[/C][C]1[/C][C]1.15284550325245e-35[/C][C]5.76422751626227e-36[/C][/ROW]
[ROW][C]209[/C][C]1[/C][C]3.9551331142434e-35[/C][C]1.9775665571217e-35[/C][/ROW]
[ROW][C]210[/C][C]1[/C][C]1.70614177722886e-34[/C][C]8.53070888614429e-35[/C][/ROW]
[ROW][C]211[/C][C]1[/C][C]7.3235317489646e-34[/C][C]3.6617658744823e-34[/C][/ROW]
[ROW][C]212[/C][C]1[/C][C]3.03280763385758e-33[/C][C]1.51640381692879e-33[/C][/ROW]
[ROW][C]213[/C][C]1[/C][C]1.30549123724827e-32[/C][C]6.52745618624133e-33[/C][/ROW]
[ROW][C]214[/C][C]1[/C][C]5.62233776689458e-32[/C][C]2.81116888344729e-32[/C][/ROW]
[ROW][C]215[/C][C]1[/C][C]2.37693332269363e-31[/C][C]1.18846666134682e-31[/C][/ROW]
[ROW][C]216[/C][C]1[/C][C]8.15006819984663e-31[/C][C]4.07503409992332e-31[/C][/ROW]
[ROW][C]217[/C][C]1[/C][C]1.3103728752719e-30[/C][C]6.5518643763595e-31[/C][/ROW]
[ROW][C]218[/C][C]1[/C][C]1.33866139304303e-30[/C][C]6.69330696521514e-31[/C][/ROW]
[ROW][C]219[/C][C]1[/C][C]1.07284570809952e-30[/C][C]5.36422854049758e-31[/C][/ROW]
[ROW][C]220[/C][C]1[/C][C]3.8151375607041e-30[/C][C]1.90756878035205e-30[/C][/ROW]
[ROW][C]221[/C][C]1[/C][C]1.63882413341165e-29[/C][C]8.19412066705824e-30[/C][/ROW]
[ROW][C]222[/C][C]1[/C][C]6.42103020104968e-29[/C][C]3.21051510052484e-29[/C][/ROW]
[ROW][C]223[/C][C]1[/C][C]2.43384462474747e-28[/C][C]1.21692231237373e-28[/C][/ROW]
[ROW][C]224[/C][C]1[/C][C]9.50381427451822e-28[/C][C]4.75190713725911e-28[/C][/ROW]
[ROW][C]225[/C][C]1[/C][C]3.69585841963331e-27[/C][C]1.84792920981665e-27[/C][/ROW]
[ROW][C]226[/C][C]1[/C][C]1.31195516368685e-26[/C][C]6.55977581843423e-27[/C][/ROW]
[ROW][C]227[/C][C]1[/C][C]4.2314955677518e-26[/C][C]2.1157477838759e-26[/C][/ROW]
[ROW][C]228[/C][C]1[/C][C]1.6709152978964e-25[/C][C]8.354576489482e-26[/C][/ROW]
[ROW][C]229[/C][C]1[/C][C]4.90209319194275e-25[/C][C]2.45104659597137e-25[/C][/ROW]
[ROW][C]230[/C][C]1[/C][C]1.20841401392316e-24[/C][C]6.0420700696158e-25[/C][/ROW]
[ROW][C]231[/C][C]1[/C][C]1.48661294952261e-24[/C][C]7.43306474761304e-25[/C][/ROW]
[ROW][C]232[/C][C]1[/C][C]1.38010865158308e-24[/C][C]6.90054325791542e-25[/C][/ROW]
[ROW][C]233[/C][C]1[/C][C]8.05842392212931e-25[/C][C]4.02921196106466e-25[/C][/ROW]
[ROW][C]234[/C][C]1[/C][C]3.79776550124451e-25[/C][C]1.89888275062225e-25[/C][/ROW]
[ROW][C]235[/C][C]1[/C][C]1.3312472900183e-25[/C][C]6.65623645009151e-26[/C][/ROW]
[ROW][C]236[/C][C]1[/C][C]1.12589933001863e-25[/C][C]5.62949665009314e-26[/C][/ROW]
[ROW][C]237[/C][C]1[/C][C]1.8571846759137e-25[/C][C]9.2859233795685e-26[/C][/ROW]
[ROW][C]238[/C][C]1[/C][C]1.89623895467774e-25[/C][C]9.48119477338868e-26[/C][/ROW]
[ROW][C]239[/C][C]1[/C][C]1.87148920209219e-25[/C][C]9.35744601046094e-26[/C][/ROW]
[ROW][C]240[/C][C]1[/C][C]3.51521448959024e-25[/C][C]1.75760724479512e-25[/C][/ROW]
[ROW][C]241[/C][C]1[/C][C]1.1831483778181e-24[/C][C]5.91574188909052e-25[/C][/ROW]
[ROW][C]242[/C][C]1[/C][C]5.16595795576233e-24[/C][C]2.58297897788117e-24[/C][/ROW]
[ROW][C]243[/C][C]1[/C][C]2.04756930770627e-23[/C][C]1.02378465385313e-23[/C][/ROW]
[ROW][C]244[/C][C]1[/C][C]5.63124415265394e-23[/C][C]2.81562207632697e-23[/C][/ROW]
[ROW][C]245[/C][C]1[/C][C]2.6078098012609e-22[/C][C]1.30390490063045e-22[/C][/ROW]
[ROW][C]246[/C][C]1[/C][C]1.14632209877639e-21[/C][C]5.73161049388194e-22[/C][/ROW]
[ROW][C]247[/C][C]1[/C][C]4.52380375701435e-21[/C][C]2.26190187850718e-21[/C][/ROW]
[ROW][C]248[/C][C]1[/C][C]1.28065924727094e-20[/C][C]6.40329623635472e-21[/C][/ROW]
[ROW][C]249[/C][C]1[/C][C]3.55744931296901e-20[/C][C]1.77872465648451e-20[/C][/ROW]
[ROW][C]250[/C][C]1[/C][C]1.15088253686382e-19[/C][C]5.75441268431909e-20[/C][/ROW]
[ROW][C]251[/C][C]1[/C][C]2.61246369926517e-19[/C][C]1.30623184963258e-19[/C][/ROW]
[ROW][C]252[/C][C]1[/C][C]5.33144464564568e-19[/C][C]2.66572232282284e-19[/C][/ROW]
[ROW][C]253[/C][C]1[/C][C]1.21529433697602e-18[/C][C]6.07647168488008e-19[/C][/ROW]
[ROW][C]254[/C][C]1[/C][C]1.88793767648599e-18[/C][C]9.43968838242993e-19[/C][/ROW]
[ROW][C]255[/C][C]1[/C][C]4.65373568784185e-18[/C][C]2.32686784392092e-18[/C][/ROW]
[ROW][C]256[/C][C]1[/C][C]5.64470192355475e-18[/C][C]2.82235096177738e-18[/C][/ROW]
[ROW][C]257[/C][C]1[/C][C]5.11820238625363e-18[/C][C]2.55910119312681e-18[/C][/ROW]
[ROW][C]258[/C][C]1[/C][C]2.03989512318635e-18[/C][C]1.01994756159317e-18[/C][/ROW]
[ROW][C]259[/C][C]1[/C][C]1.14154264883471e-18[/C][C]5.70771324417354e-19[/C][/ROW]
[ROW][C]260[/C][C]1[/C][C]9.63189229268996e-19[/C][C]4.81594614634498e-19[/C][/ROW]
[ROW][C]261[/C][C]1[/C][C]9.2859549354689e-19[/C][C]4.64297746773445e-19[/C][/ROW]
[ROW][C]262[/C][C]1[/C][C]1.12926739398485e-18[/C][C]5.64633696992426e-19[/C][/ROW]
[ROW][C]263[/C][C]1[/C][C]1.62156607487646e-18[/C][C]8.10783037438232e-19[/C][/ROW]
[ROW][C]264[/C][C]1[/C][C]7.24360304557235e-18[/C][C]3.62180152278617e-18[/C][/ROW]
[ROW][C]265[/C][C]1[/C][C]4.17944508761405e-17[/C][C]2.08972254380703e-17[/C][/ROW]
[ROW][C]266[/C][C]1[/C][C]2.33869006841121e-16[/C][C]1.16934503420561e-16[/C][/ROW]
[ROW][C]267[/C][C]1[/C][C]1.2314016093431e-16[/C][C]6.15700804671552e-17[/C][/ROW]
[ROW][C]268[/C][C]1[/C][C]4.41492537754551e-16[/C][C]2.20746268877276e-16[/C][/ROW]
[ROW][C]269[/C][C]0.999999999999997[/C][C]5.74939385014918e-15[/C][C]2.87469692507459e-15[/C][/ROW]
[ROW][C]270[/C][C]0.999999999999974[/C][C]5.12836596185796e-14[/C][C]2.56418298092898e-14[/C][/ROW]
[ROW][C]271[/C][C]0.99999999999974[/C][C]5.1861183579827e-13[/C][C]2.59305917899135e-13[/C][/ROW]
[ROW][C]272[/C][C]0.999999999996745[/C][C]6.5103798567912e-12[/C][C]3.2551899283956e-12[/C][/ROW]
[ROW][C]273[/C][C]0.999999999982146[/C][C]3.57076389196629e-11[/C][C]1.78538194598315e-11[/C][/ROW]
[ROW][C]274[/C][C]0.999999999771576[/C][C]4.56847500941458e-10[/C][C]2.28423750470729e-10[/C][/ROW]
[ROW][C]275[/C][C]0.999999998626033[/C][C]2.74793342361226e-09[/C][C]1.37396671180613e-09[/C][/ROW]
[ROW][C]276[/C][C]0.999999982666361[/C][C]3.46672780768232e-08[/C][C]1.73336390384116e-08[/C][/ROW]
[ROW][C]277[/C][C]0.999999909867148[/C][C]1.80265703656936e-07[/C][C]9.01328518284679e-08[/C][/ROW]
[ROW][C]278[/C][C]0.999999846382612[/C][C]3.07234776312291e-07[/C][C]1.53617388156145e-07[/C][/ROW]
[ROW][C]279[/C][C]0.999999537895836[/C][C]9.24208327395665e-07[/C][C]4.62104163697832e-07[/C][/ROW]
[ROW][C]280[/C][C]0.999988989117955[/C][C]2.20217640907726e-05[/C][C]1.10108820453863e-05[/C][/ROW]
[ROW][C]281[/C][C]0.999792324185833[/C][C]0.000415351628334686[/C][C]0.000207675814167343[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114027&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114027&T=5

As an alternative you can also use a QR Code:

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

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
5	0.00142016281640544	0.00284032563281089	0.998579837183595
6	0.000859344866433132	0.00171868973286626	0.999140655133567
7	0.000438422034035862	0.000876844068071724	0.999561577965964
8	0.000223123280653805	0.00044624656130761	0.999776876719346
9	4.43559993512656e-05	8.87119987025312e-05	0.999955644000649
10	8.28718576986908e-06	1.65743715397382e-05	0.99999171281423
11	1.3733136087704e-06	2.74662721754081e-06	0.999998626686391
12	2.79069785912355e-07	5.58139571824711e-07	0.999999720930214
13	6.56622326218435e-08	1.31324465243687e-07	0.999999934337767
14	2.10707998080073e-08	4.21415996160147e-08	0.9999999789292
15	9.381491915942e-09	1.8762983831884e-08	0.999999990618508
16	2.47488121815595e-09	4.94976243631191e-09	0.999999997525119
17	5.66108655605394e-10	1.13221731121079e-09	0.999999999433891
18	1.09883646745965e-10	2.19767293491929e-10	0.999999999890116
19	1.99620398541265e-11	3.99240797082531e-11	0.999999999980038
20	3.81358777306222e-12	7.62717554612445e-12	0.999999999996186
21	8.58862766439145e-13	1.71772553287829e-12	0.99999999999914
22	1.83769940898104e-13	3.67539881796207e-13	0.999999999999816
23	5.1123227968256e-14	1.02246455936512e-13	0.999999999999949
24	1.25866448037163e-14	2.51732896074327e-14	0.999999999999987
25	3.07887190893342e-15	6.15774381786685e-15	0.999999999999997
26	6.9982659303671e-16	1.39965318607342e-15	1
27	1.51701021568454e-16	3.03402043136909e-16	1
28	3.6697113095805e-17	7.33942261916101e-17	1
29	1.33342746654518e-17	2.66685493309036e-17	1
30	1.51491558537402e-16	3.02983117074803e-16	1
31	8.97724124699628e-16	1.79544824939926e-15	1
32	1.73143560946785e-15	3.4628712189357e-15	0.999999999999998
33	2.75312535673712e-15	5.50625071347423e-15	0.999999999999997
34	1.46797478453455e-14	2.93594956906911e-14	0.999999999999985
35	2.09446486570497e-13	4.18892973140995e-13	0.99999999999979
36	1.42185123066338e-12	2.84370246132675e-12	0.999999999998578
37	2.85705175701431e-12	5.71410351402862e-12	0.999999999997143
38	5.11333073549758e-12	1.02266614709952e-11	0.999999999994887
39	2.61321766248881e-11	5.22643532497762e-11	0.999999999973868
40	2.65928230383026e-09	5.31856460766053e-09	0.999999997340718
41	4.34100353398011e-08	8.68200706796022e-08	0.999999956589965
42	2.54622544348433e-07	5.09245088696866e-07	0.999999745377456
43	1.67491682856038e-06	3.34983365712075e-06	0.999998325083171
44	7.84298264750704e-06	1.56859652950141e-05	0.999992157017352
45	2.11788009515493e-05	4.23576019030987e-05	0.999978821199048
46	4.30034158981435e-05	8.6006831796287e-05	0.999956996584102
47	6.0996066510106e-05	0.000121992133020212	0.99993900393349
48	6.99521492941697e-05	0.000139904298588339	0.999930047850706
49	6.57925778601635e-05	0.000131585155720327	0.99993420742214
50	5.40260293745452e-05	0.00010805205874909	0.999945973970625
51	4.46370098436196e-05	8.92740196872392e-05	0.999955362990156
52	3.32333132745727e-05	6.64666265491453e-05	0.999966766686725
53	2.4113331739633e-05	4.8226663479266e-05	0.99997588666826
54	1.59945533152605e-05	3.1989106630521e-05	0.999984005446685
55	1.02193778344582e-05	2.04387556689164e-05	0.999989780622166
56	6.49249195501969e-06	1.29849839100394e-05	0.999993507508045
57	4.22418754511112e-06	8.44837509022224e-06	0.999995775812455
58	3.55102095153468e-06	7.10204190306935e-06	0.999996448979048
59	2.75966946920953e-06	5.51933893841906e-06	0.99999724033053
60	2.51246548550635e-06	5.02493097101271e-06	0.999997487534514
61	2.26241807743e-06	4.52483615486e-06	0.999997737581923
62	1.71607364588904e-06	3.43214729177808e-06	0.999998283926354
63	1.44847811092206e-06	2.89695622184413e-06	0.99999855152189
64	1.58555352193038e-06	3.17110704386075e-06	0.999998414446478
65	1.91782865784088e-06	3.83565731568176e-06	0.999998082171342
66	2.29092446363944e-06	4.58184892727888e-06	0.999997709075536
67	3.41742409915665e-06	6.8348481983133e-06	0.9999965825759
68	5.11398614958979e-06	1.02279722991796e-05	0.99999488601385
69	7.24058680988496e-06	1.44811736197699e-05	0.99999275941319
70	8.52832201428333e-06	1.70566440285667e-05	0.999991471677986
71	9.3930253714044e-06	1.87860507428088e-05	0.999990606974629
72	1.06489076510854e-05	2.12978153021708e-05	0.999989351092349
73	1.19020835148337e-05	2.38041670296674e-05	0.999988097916485
74	1.30548874310672e-05	2.61097748621344e-05	0.999986945112569
75	1.60692859114689e-05	3.21385718229379e-05	0.999983930714089
76	1.79992943810243e-05	3.59985887620486e-05	0.999982000705619
77	1.8980305376965e-05	3.796061075393e-05	0.999981019694623
78	1.95482443843069e-05	3.90964887686138e-05	0.999980451755616
79	2.02705827086588e-05	4.05411654173175e-05	0.999979729417291
80	2.03401816057121e-05	4.06803632114242e-05	0.999979659818394
81	2.00499960462233e-05	4.00999920924466e-05	0.999979950003954
82	2.25705762185701e-05	4.51411524371402e-05	0.999977429423781
83	3.10934601974589e-05	6.21869203949177e-05	0.999968906539803
84	4.85208681947617e-05	9.70417363895235e-05	0.999951479131805
85	9.69653991841924e-05	0.000193930798368385	0.999903034600816
86	0.00027376467962529	0.00054752935925058	0.999726235320375
87	0.000605318666865793	0.00121063733373159	0.999394681333134
88	0.00100529810845089	0.00201059621690179	0.99899470189155
89	0.00142319190060048	0.00284638380120097	0.9985768080994
90	0.00188493058794108	0.00376986117588215	0.998115069412059
91	0.00225073315718729	0.00450146631437459	0.997749266842813
92	0.00328525880063414	0.00657051760126828	0.996714741199366
93	0.00545164260751843	0.0109032852150369	0.994548357392482
94	0.00861248948482317	0.0172249789696463	0.991387510515177
95	0.012053924724272	0.0241078494485439	0.987946075275728
96	0.0165012510569962	0.0330025021139924	0.983498748943004
97	0.0220805833776284	0.0441611667552569	0.977919416622372
98	0.0247302464632834	0.0494604929265667	0.975269753536717
99	0.0279089664174036	0.0558179328348072	0.972091033582596
100	0.031665660775597	0.063331321551194	0.968334339224403
101	0.0361931313909916	0.0723862627819832	0.963806868609008
102	0.0434961496799944	0.0869922993599888	0.956503850320006
103	0.0559647175967901	0.11192943519358	0.94403528240321
104	0.0723069660267005	0.144613932053401	0.9276930339733
105	0.090169256572946	0.180338513145892	0.909830743427054
106	0.11139017753534	0.22278035507068	0.88860982246466
107	0.139204692666555	0.27840938533311	0.860795307333445
108	0.175596027633673	0.351192055267347	0.824403972366327
109	0.207923120725913	0.415846241451825	0.792076879274087
110	0.24680608213531	0.493612164270621	0.75319391786469
111	0.298390581446232	0.596781162892465	0.701609418553768
112	0.358711637221565	0.717423274443131	0.641288362778435
113	0.426078256295982	0.852156512591964	0.573921743704018
114	0.505002298001315	0.98999540399737	0.494997701998685
115	0.584839710928105	0.83032057814379	0.415160289071895
116	0.671786661371213	0.656426677257575	0.328213338628787
117	0.740202730591	0.519594538817999	0.259797269408999
118	0.789289872348934	0.421420255302132	0.210710127651066
119	0.82856011581187	0.34287976837626	0.17143988418813
120	0.862315250938935	0.27536949812213	0.137684749061065
121	0.890148817564196	0.219702364871608	0.109851182435804
122	0.912985173279116	0.174029653441769	0.0870148267208844
123	0.932752379008023	0.134495241983954	0.0672476209919771
124	0.948194039945196	0.103611920109607	0.0518059600548036
125	0.96038551870234	0.0792289625953197	0.0396144812976599
126	0.970655848502232	0.0586883029955351	0.0293441514977675
127	0.978991597669683	0.0420168046606343	0.0210084023303171
128	0.984781885887417	0.0304362282251669	0.0152181141125834
129	0.988696489554016	0.022607020891968	0.011303510445984
130	0.991623263367916	0.0167534732641676	0.00837673663208378
131	0.994096805411199	0.011806389177602	0.005903194588801
132	0.99614282569958	0.00771434860083866	0.00385717430041933
133	0.997453584676281	0.00509283064743734	0.00254641532371867
134	0.998191339180079	0.00361732163984304	0.00180866081992152
135	0.998581186150165	0.00283762769967026	0.00141881384983513
136	0.998863703135331	0.00227259372933707	0.00113629686466854
137	0.99909113375701	0.00181773248598255	0.000908866242991275
138	0.999318246249154	0.00136350750169252	0.000681753750846258
139	0.999498476609162	0.00100304678167649	0.000501523390838245
140	0.99966758644894	0.0006648271021215	0.00033241355106075
141	0.99982715577251	0.00034568845497921	0.000172844227489605
142	0.999912655954253	0.000174688091494792	8.73440457473959e-05
143	0.999957795539932	8.44089201349629e-05	4.22044600674814e-05
144	0.999981133723766	3.77325524683569e-05	1.88662762341785e-05
145	0.99999334981424	1.33003715213885e-05	6.65018576069423e-06
146	0.999997658416387	4.68316722519117e-06	2.34158361259559e-06
147	0.999999238585882	1.52282823518498e-06	7.6141411759249e-07
148	0.99999972580476	5.48390481129501e-07	2.74195240564751e-07
149	0.9999998959008	2.08198397268197e-07	1.04099198634098e-07
150	0.999999957716612	8.4566775679707e-08	4.22833878398535e-08
151	0.99999998443668	3.11266404008722e-08	1.55633202004361e-08
152	0.999999994362746	1.12745084933057e-08	5.63725424665286e-09
153	0.999999997968733	4.06253414920578e-09	2.03126707460289e-09
154	0.999999999349062	1.3018760597094e-09	6.50938029854699e-10
155	0.999999999772358	4.55284812354186e-10	2.27642406177093e-10
156	0.999999999920877	1.58246445599817e-10	7.91232227999083e-11
157	0.999999999969314	6.13721983500933e-11	3.06860991750466e-11
158	0.999999999990094	1.98123829079663e-11	9.90619145398315e-12
159	0.999999999997626	4.74725374915093e-12	2.37362687457547e-12
160	0.99999999999939	1.21783996598925e-12	6.08919982994626e-13
161	0.999999999999863	2.74876953518611e-13	1.37438476759305e-13
162	0.999999999999976	4.69784368303725e-14	2.34892184151863e-14
163	0.999999999999997	6.53279302165531e-15	3.26639651082766e-15
164	1	9.90828609580404e-16	4.95414304790202e-16
165	1	1.65644812957152e-16	8.28224064785759e-17
166	1	4.06669445037637e-17	2.03334722518819e-17
167	1	1.0527642268319e-17	5.26382113415949e-18
168	1	2.75258310289281e-18	1.37629155144641e-18
169	1	6.3889197801281e-19	3.19445989006405e-19
170	1	1.88524213240071e-19	9.42621066200357e-20
171	1	3.88855342361797e-20	1.94427671180898e-20
172	1	4.96758544484717e-21	2.48379272242358e-21
173	1	6.5914150680064e-22	3.2957075340032e-22
174	1	7.34287399418761e-23	3.6714369970938e-23
175	1	9.9745291974211e-24	4.98726459871055e-24
176	1	7.92876706782865e-25	3.96438353391433e-25
177	1	4.38435450071188e-26	2.19217725035594e-26
178	1	1.45360283038978e-27	7.2680141519489e-28
179	1	3.30042787516908e-29	1.65021393758454e-29
180	1	9.96125650337172e-31	4.98062825168586e-31
181	1	5.79386583128327e-32	2.89693291564163e-32
182	1	2.53317837175532e-33	1.26658918587766e-33
183	1	9.21575477535868e-35	4.60787738767934e-35
184	1	3.95110809236183e-36	1.97555404618091e-36
185	1	1.08431323359851e-37	5.42156616799256e-38
186	1	3.30632038900473e-39	1.65316019450237e-39
187	1	8.64627329551602e-41	4.32313664775801e-41
188	1	7.52819682005926e-42	3.76409841002963e-42
189	1	2.17919375944485e-42	1.08959687972242e-42
190	1	1.01189860767886e-42	5.05949303839429e-43
191	1	5.27839993129197e-43	2.63919996564598e-43
192	1	6.34516637017262e-43	3.17258318508631e-43
193	1	1.07088183305212e-42	5.3544091652606e-43
194	1	2.05983312354151e-42	1.02991656177076e-42
195	1	4.62640253360911e-42	2.31320126680456e-42
196	1	7.96212586829249e-42	3.98106293414625e-42
197	1	1.75602822592698e-41	8.7801411296349e-42
198	1	5.17084483425461e-41	2.58542241712731e-41
199	1	1.69603581204941e-40	8.48017906024705e-41
200	1	5.816315826766e-40	2.908157913383e-40
201	1	2.13054906714129e-39	1.06527453357064e-39
202	1	5.84783430774851e-39	2.92391715387426e-39
203	1	2.30149456574529e-38	1.15074728287265e-38
204	1	9.28651938309589e-38	4.64325969154794e-38
205	1	2.9179279326272e-37	1.4589639663136e-37
206	1	7.452941802503e-37	3.7264709012515e-37
207	1	2.83186756892941e-36	1.41593378446471e-36
208	1	1.15284550325245e-35	5.76422751626227e-36
209	1	3.9551331142434e-35	1.9775665571217e-35
210	1	1.70614177722886e-34	8.53070888614429e-35
211	1	7.3235317489646e-34	3.6617658744823e-34
212	1	3.03280763385758e-33	1.51640381692879e-33
213	1	1.30549123724827e-32	6.52745618624133e-33
214	1	5.62233776689458e-32	2.81116888344729e-32
215	1	2.37693332269363e-31	1.18846666134682e-31
216	1	8.15006819984663e-31	4.07503409992332e-31
217	1	1.3103728752719e-30	6.5518643763595e-31
218	1	1.33866139304303e-30	6.69330696521514e-31
219	1	1.07284570809952e-30	5.36422854049758e-31
220	1	3.8151375607041e-30	1.90756878035205e-30
221	1	1.63882413341165e-29	8.19412066705824e-30
222	1	6.42103020104968e-29	3.21051510052484e-29
223	1	2.43384462474747e-28	1.21692231237373e-28
224	1	9.50381427451822e-28	4.75190713725911e-28
225	1	3.69585841963331e-27	1.84792920981665e-27
226	1	1.31195516368685e-26	6.55977581843423e-27
227	1	4.2314955677518e-26	2.1157477838759e-26
228	1	1.6709152978964e-25	8.354576489482e-26
229	1	4.90209319194275e-25	2.45104659597137e-25
230	1	1.20841401392316e-24	6.0420700696158e-25
231	1	1.48661294952261e-24	7.43306474761304e-25
232	1	1.38010865158308e-24	6.90054325791542e-25
233	1	8.05842392212931e-25	4.02921196106466e-25
234	1	3.79776550124451e-25	1.89888275062225e-25
235	1	1.3312472900183e-25	6.65623645009151e-26
236	1	1.12589933001863e-25	5.62949665009314e-26
237	1	1.8571846759137e-25	9.2859233795685e-26
238	1	1.89623895467774e-25	9.48119477338868e-26
239	1	1.87148920209219e-25	9.35744601046094e-26
240	1	3.51521448959024e-25	1.75760724479512e-25
241	1	1.1831483778181e-24	5.91574188909052e-25
242	1	5.16595795576233e-24	2.58297897788117e-24
243	1	2.04756930770627e-23	1.02378465385313e-23
244	1	5.63124415265394e-23	2.81562207632697e-23
245	1	2.6078098012609e-22	1.30390490063045e-22
246	1	1.14632209877639e-21	5.73161049388194e-22
247	1	4.52380375701435e-21	2.26190187850718e-21
248	1	1.28065924727094e-20	6.40329623635472e-21
249	1	3.55744931296901e-20	1.77872465648451e-20
250	1	1.15088253686382e-19	5.75441268431909e-20
251	1	2.61246369926517e-19	1.30623184963258e-19
252	1	5.33144464564568e-19	2.66572232282284e-19
253	1	1.21529433697602e-18	6.07647168488008e-19
254	1	1.88793767648599e-18	9.43968838242993e-19
255	1	4.65373568784185e-18	2.32686784392092e-18
256	1	5.64470192355475e-18	2.82235096177738e-18
257	1	5.11820238625363e-18	2.55910119312681e-18
258	1	2.03989512318635e-18	1.01994756159317e-18
259	1	1.14154264883471e-18	5.70771324417354e-19
260	1	9.63189229268996e-19	4.81594614634498e-19
261	1	9.2859549354689e-19	4.64297746773445e-19
262	1	1.12926739398485e-18	5.64633696992426e-19
263	1	1.62156607487646e-18	8.10783037438232e-19
264	1	7.24360304557235e-18	3.62180152278617e-18
265	1	4.17944508761405e-17	2.08972254380703e-17
266	1	2.33869006841121e-16	1.16934503420561e-16
267	1	1.2314016093431e-16	6.15700804671552e-17
268	1	4.41492537754551e-16	2.20746268877276e-16
269	0.999999999999997	5.74939385014918e-15	2.87469692507459e-15
270	0.999999999999974	5.12836596185796e-14	2.56418298092898e-14
271	0.99999999999974	5.1861183579827e-13	2.59305917899135e-13
272	0.999999999996745	6.5103798567912e-12	3.2551899283956e-12
273	0.999999999982146	3.57076389196629e-11	1.78538194598315e-11
274	0.999999999771576	4.56847500941458e-10	2.28423750470729e-10
275	0.999999998626033	2.74793342361226e-09	1.37396671180613e-09
276	0.999999982666361	3.46672780768232e-08	1.73336390384116e-08
277	0.999999909867148	1.80265703656936e-07	9.01328518284679e-08
278	0.999999846382612	3.07234776312291e-07	1.53617388156145e-07
279	0.999999537895836	9.24208327395665e-07	4.62104163697832e-07
280	0.999988989117955	2.20217640907726e-05	1.10108820453863e-05
281	0.999792324185833	0.000415351628334686	0.000207675814167343

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	238	0.859205776173285	NOK
5% type I error level	249	0.898916967509025	NOK
10% type I error level	255	0.92057761732852	NOK

\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 & 238 & 0.859205776173285 & NOK \tabularnewline
5% type I error level & 249 & 0.898916967509025 & NOK \tabularnewline
10% type I error level & 255 & 0.92057761732852 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114027&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]238[/C][C]0.859205776173285[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]249[/C][C]0.898916967509025[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]255[/C][C]0.92057761732852[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114027&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114027&T=6

As an alternative you can also use a 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 tests	OK/NOK
1% type I error level	238	0.859205776173285	NOK
5% type I error level	249	0.898916967509025	NOK
10% type I error level	255	0.92057761732852	NOK

Figure 1

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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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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$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, mysum$coefficients[i,1], 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,mysum$coefficients[i,1])
a<-table.element(a, round(mysum$coefficients[i,2],6))
a<-table.element(a, round(mysum$coefficients[i,3],4))
a<-table.element(a, round(mysum$coefficients[i,4],6))
a<-table.element(a, round(mysum$coefficients[i,4]/2,6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a, sqrt(mysum$r.squared))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a, mysum$r.squared)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a, mysum$adj.r.squared)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a, mysum$fstatistic[1])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, mysum$fstatistic[2])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
a<-table.element(a, mysum$fstatistic[3])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a, 1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]))
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, mysum$sigma)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a, sum(myerror*myerror))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,x[i])
a<-table.element(a,x[i]-mysum$resid[i])
a<-table.element(a,mysum$resid[i])
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,gqarr[mypoint-kp3+1,1])
a<-table.element(a,gqarr[mypoint-kp3+1,2])
a<-table.element(a,gqarr[mypoint-kp3+1,3])
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,numsignificant1)
a<-table.element(a,numsignificant1/numgqtests)
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,numsignificant5)
a<-table.element(a,numsignificant5/numgqtests)
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,numsignificant10)
a<-table.element(a,numsignificant10/numgqtests)
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')
}

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code