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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationSat, 08 Dec 2012 11:41:42 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/08/t1354985051naivw2yhqbhndjn.htm/, Retrieved Fri, 26 Apr 2024 12:00:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=197679, Retrieved Fri, 26 Apr 2024 12:00:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact70

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Linear Regression Graphical Model Validation] [Colombia Coffee -...] [2008-02-26 10:22:06] [74be16979710d4c4e7c6647856088456]
- RMPD    [Multiple Regression] [Paper multiple re...] [2012-12-08 16:41:42] [c63d55528b56cf8bb48e0b5d1a959d8e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
58.58527778	79	30	144	145
33.60611111	58	28	103	101
49.03	60	38	98	98
49.81138889	108	30	135	132
34.21805556	49	22	61	60
14.65166667	0	26	39	38
107.0927778	121	25	150	144
9.213888889	1	18	5	5
28.23472222	20	11	28	28
41.40583333	43	26	84	84
45.95722222	69	25	80	79
65.8925	78	38	130	127
48.14611111	86	44	82	78
36.98083333	44	30	60	60
71.90916667	104	40	131	131
50.02305556	63	34	84	84
90.22194444	158	47	140	133
64.15666667	102	30	151	150
65.77361111	77	31	91	91
37.63138889	82	23	138	132
56.36805556	115	36	150	136
59.76305556	101	36	124	124
95.63805556	80	30	119	118
42.75972222	50	25	73	70
36.92861111	83	39	110	107
48.53444444	123	34	123	119
48.44861111	73	31	90	89
62.65222222	81	31	116	112
62.12	105	33	113	108
34.67138889	47	25	56	52
61.58277778	105	33	115	112
58.54638889	94	35	119	116
47.29611111	44	42	129	123
72.37805556	114	43	127	125
23.57027778	38	30	27	27
81.78444444	107	33	175	162
28.05861111	30	13	35	32
59.90027778	71	32	64	64
90.3075	84	36	96	92
1.993333333	0	0	0	0
46.53944444	59	28	84	83
29.55777778	33	14	41	41
26.82222222	42	17	47	47
73.82472222	96	32	126	120
74.90305556	106	30	105	105
41.42	56	35	80	79
48.84	57	20	70	65
42.46416667	59	28	73	70
31.01805556	39	28	57	55
32.33555556	34	39	40	39
100.6391667	76	34	68	67
21.88888889	20	26	21	21
50.87972222	91	39	127	127
77.2125	115	39	154	152
41.84138889	85	33	116	113
46.89138889	76	28	102	99
6.718888889	8	4	7	7
91.46305556	79	39	148	141
18.06361111	21	18	21	21
28.0825	30	14	35	35
60.81833333	76	29	112	109
67.79222222	101	44	137	133
94.88055556	94	21	135	123
28.77694444	27	16	26	26
64.81333333	92	28	230	230
71.23944444	123	35	181	166
57.26694444	75	28	71	68
86.52027778	128	38	147	147
65.5	105	23	190	179
49.4275	55	36	64	61
57.54888889	56	32	105	101
54.59805556	41	29	107	108
48.38444444	72	25	94	90
39.79055556	67	27	116	114
52.09972222	75	36	106	103
52.13361111	114	28	143	142
33.06	118	23	81	79
50.60888889	77	40	89	88
20.435	22	23	26	25
54.16083333	66	40	84	83
46.52444444	69	28	113	113
39.93222222	105	34	120	118
76.53916667	116	33	110	110
67.55527778	88	28	134	129
50.83305556	73	34	54	51
37.68027778	99	30	96	93
42.30527778	62	33	78	76
33.39472222	53	22	51	49
96.24583333	118	38	121	118
40.49722222	30	26	38	38
53.70527778	100	35	145	141
22.48694444	49	8	59	58
34.10388889	24	24	27	27
36.27361111	67	29	91	91
31.28083333	46	20	48	48
79.57444444	57	29	68	63
66.96277778	75	45	58	56
41.235	135	37	150	144
56.86472222	68	33	74	73
50.5775	124	33	181	168
38.98444444	33	25	65	64
61.25444444	98	32	97	97
67.51666667	58	29	121	117
45.2125	68	28	99	100
50.72583333	81	28	152	149
64.48277778	131	31	188	187
73.69944444	110	52	138	127
23.77055556	37	21	40	37
86.34416667	130	24	254	245
62.51666667	93	41	87	87
64.5325	118	33	178	177
40.26833333	39	32	51	49
12.02416667	13	19	49	49
43.265	74	20	73	73
45.7525	81	31	176	177
56.09444444	109	31	94	94
65.40388889	151	32	120	117
61.33361111	51	18	66	60
27.62944444	28	23	56	55
25.73916667	40	17	39	39
37.03555556	56	20	66	64
17.04472222	27	12	27	26
34.98055556	37	17	65	64
27.98611111	83	30	58	58
62.37472222	54	31	98	95
22.86555556	27	10	25	25
28.33611111	28	13	26	26
28.20083333	59	22	77	76
67.64194444	133	42	130	129
6.371666667	12	1	11	11
11.54611111	0	9	2	2
42.35388889	106	32	101	101
17.1825	23	11	31	28
27.75638889	44	25	36	36
36.80194444	71	36	120	89
88.165	116	31	195	193
5.848333333	4	0	4	4
58.23361111	62	24	89	84
6.291111111	12	13	24	23
8.726111111	18	8	39	39
12.97166667	14	13	14	14
36.58277778	60	19	78	78
25.48194444	7	18	15	14
67.98583333	98	33	106	101
51.25277778	64	40	83	82
22.18416667	29	22	24	24
35.67305556	32	38	37	36
27.1775	25	24	77	75
10.615	16	8	16	16
41.9725	48	35	56	55
75.68277778	100	43	132	131
47.915	46	43	144	131
30.01194444	45	14	40	39
91.14083333	129	41	153	144
69.60527778	130	38	143	139
97.51861111	136	45	220	211
43.89305556	59	31	79	78
27.46277778	25	13	50	50
23.73305556	32	28	39	39
63.67833333	63	31	95	90
97.67194444	95	40	169	166
23.39083333	14	30	12	12
33.45694444	36	16	63	57
90.16611111	113	37	134	133
36.40805556	47	30	69	69
56.74194444	92	35	119	119
45.98416667	70	32	119	119
39.36722222	19	27	75	65
32.23555556	50	20	63	61
69.4575	41	18	55	49
83.27083333	91	31	103	101
54.39944444	111	31	197	196
48.12777778	41	21	16	15
70.69111111	120	39	140	136
28.99694444	135	41	89	89
37.80111111	27	13	40	40
55.41	87	32	125	123
25.69416667	25	18	21	21
62.31388889	131	39	167	163
37.71694444	45	14	32	29
20.66888889	29	7	36	35
22.56666667	58	17	13	13
4.08	4	0	5	5
50.45361111	47	30	96	96
75.51555556	109	37	151	151
1.999722222	7	0	6	6
12.96111111	12	5	13	13
4.874166667	0	1	3	3
37.04666667	37	16	57	56
26.45194444	37	32	23	23
42.38916667	46	24	61	57
27.26277778	15	17	21	14
22.11638889	42	11	43	43
16.44277778	7	24	20	20
38.87277778	54	22	82	72
32.94777778	54	12	90	87
20.24444444	14	19	25	21
18.1875	16	13	60	56
27.67861111	33	17	61	59
19.99027778	32	15	85	82
21.46444444	21	16	43	43
13.69138889	15	24	25	25
37.53638889	38	15	41	38
30.12388889	22	17	26	25
24.92944444	28	18	38	38
12.30444444	10	20	12	12
21.56888889	31	16	29	29
50.42444444	32	16	49	47
37.2275	32	18	46	45
34.46222222	43	22	41	40
25.73055556	27	8	31	30
33.84666667	37	17	41	41
14.69861111	20	18	26	25
22.74222222	32	16	23	23
16.38361111	0	23	14	14
14.86527778	5	22	16	16
16.89222222	26	13	25	26
15.65972222	10	13	21	21
18.19166667	27	16	32	27
22.48583333	11	16	9	9
21.195	29	20	35	33
28.89194444	25	22	42	42
27.25111111	55	17	68	68
18.88583333	23	18	32	32
8.608055556	5	17	6	6
37.62722222	43	12	68	67
20.41777778	23	7	33	33
17.53416667	34	17	84	77
17.015	36	14	46	46
20.80944444	35	23	30	30
8.826111111	0	17	0	0
22.62138889	37	14	36	36
24.21833333	28	15	47	46
13.91388889	16	17	20	18
18.2625	26	21	50	48
15.73694444	38	18	30	29
43.99972222	23	18	30	28
12.90416667	22	17	34	34
20.45111111	30	17	33	33
10.66527778	16	16	34	34
25.5275	18	15	37	33
38.75722222	28	21	83	80
14.49	32	16	32	32
14.32416667	21	14	30	30
19.5975	23	15	43	41
23.57111111	29	17	41	41
28.48277778	50	15	51	51
24.07722222	12	15	19	18
23.80805556	21	10	37	34
9.628333333	18	6	33	31
41.82777778	27	22	41	39
27.66972222	41	21	54	54
5.374722222	13	1	14	14
27.60361111	12	18	25	24
23.95277778	21	17	25	24
8.565833333	8	4	8	8
8.807222222	26	10	26	26
24.94611111	27	16	20	19
17.24666667	13	16	11	11
11.15305556	16	9	14	14
7.676111111	2	16	3	1
21.38611111	42	17	40	39
10.40555556	5	7	5	5
15.04361111	37	15	38	37
13.85055556	17	14	32	32
23.42694444	38	14	41	38
17.82638889	37	18	46	47
16.495	29	12	47	47
33.14111111	32	16	37	37
21.30611111	35	21	51	51
28.72916667	17	19	49	45
19.54	20	16	21	21
12.05833333	7	1	1	1
29.12166667	46	16	44	42
17.28194444	24	10	26	26
19.25111111	40	19	21	21
14.75472222	3	12	4	4
5.49	10	2	10	10
24.07777778	37	14	43	43
23.3625	17	17	34	34
21.65138889	28	19	32	31
24.75361111	19	14	20	19
25.27916667	29	11	34	34
11.18	8	4	6	6
17.82972222	10	16	12	11
14.12694444	15	20	24	24
15.72583333	15	12	16	16
17.44222222	28	15	72	72
20.14861111	17	16	27	21

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time12 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\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 & 12 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
R Framework error message & 
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197679&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]12 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197679&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197679&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time12 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.






Multiple Linear Regression - Estimated Regression Equation
Time_in_rfc[t] = + 3.82889133578287 + 0.221635770215292blogged_computations[t] + 0.561691114075276compendiums_reviewed[t] + 0.391517571139982tothyperlinks[t] -0.256723982006104`totblogs\r`[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Time_in_rfc[t] =  +  3.82889133578287 +  0.221635770215292blogged_computations[t] +  0.561691114075276compendiums_reviewed[t] +  0.391517571139982tothyperlinks[t] -0.256723982006104`totblogs\r`[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197679&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Time_in_rfc[t] =  +  3.82889133578287 +  0.221635770215292blogged_computations[t] +  0.561691114075276compendiums_reviewed[t] +  0.391517571139982tothyperlinks[t] -0.256723982006104`totblogs\r`[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197679&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197679&T=1

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


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

Multiple Linear Regression - Estimated Regression Equation
Time_in_rfc[t] = + 3.82889133578287 + 0.221635770215292blogged_computations[t] + 0.561691114075276compendiums_reviewed[t] + 0.391517571139982tothyperlinks[t] -0.256723982006104`totblogs\r`[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)3.828891335782871.6612.30520.0218780.010939
blogged_computations0.2216357702152920.0428965.166800
compendiums_reviewed0.5616911140752760.1001745.607100
tothyperlinks0.3915175711399820.2287761.71140.0881070.044054
`totblogs\r`-0.2567239820061040.236579-1.08510.2787760.139388

\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) & 3.82889133578287 & 1.661 & 2.3052 & 0.021878 & 0.010939 \tabularnewline
blogged_computations & 0.221635770215292 & 0.042896 & 5.1668 & 0 & 0 \tabularnewline
compendiums_reviewed & 0.561691114075276 & 0.100174 & 5.6071 & 0 & 0 \tabularnewline
tothyperlinks & 0.391517571139982 & 0.228776 & 1.7114 & 0.088107 & 0.044054 \tabularnewline
`totblogs\r` & -0.256723982006104 & 0.236579 & -1.0851 & 0.278776 & 0.139388 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197679&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]3.82889133578287[/C][C]1.661[/C][C]2.3052[/C][C]0.021878[/C][C]0.010939[/C][/ROW]
[ROW][C]blogged_computations[/C][C]0.221635770215292[/C][C]0.042896[/C][C]5.1668[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]0.561691114075276[/C][C]0.100174[/C][C]5.6071[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]tothyperlinks[/C][C]0.391517571139982[/C][C]0.228776[/C][C]1.7114[/C][C]0.088107[/C][C]0.044054[/C][/ROW]
[ROW][C]`totblogs\r`[/C][C]-0.256723982006104[/C][C]0.236579[/C][C]-1.0851[/C][C]0.278776[/C][C]0.139388[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197679&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197679&T=2

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


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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)3.828891335782871.6612.30520.0218780.010939
blogged_computations0.2216357702152920.0428965.166800
compendiums_reviewed0.5616911140752760.1001745.607100
tothyperlinks0.3915175711399820.2287761.71140.0881070.044054
`totblogs\r`-0.2567239820061040.236579-1.08510.2787760.139388






Multiple Linear Regression - Regression Statistics
Multiple R0.866129729061433
R-squared0.750180707564032
Adjusted R-squared0.746662125980427
F-TEST (value)213.205432285412
F-TEST (DF numerator)4
F-TEST (DF denominator)284
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation11.5121194736341
Sum Squared Residuals37638.2061161642

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.866129729061433 \tabularnewline
R-squared & 0.750180707564032 \tabularnewline
Adjusted R-squared & 0.746662125980427 \tabularnewline
F-TEST (value) & 213.205432285412 \tabularnewline
F-TEST (DF numerator) & 4 \tabularnewline
F-TEST (DF denominator) & 284 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 11.5121194736341 \tabularnewline
Sum Squared Residuals & 37638.2061161642 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197679&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.866129729061433[/C][/ROW]
[ROW][C]R-squared[/C][C]0.750180707564032[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.746662125980427[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]213.205432285412[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]4[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]284[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]11.5121194736341[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]37638.2061161642[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197679&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197679&T=3

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


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

Multiple Linear Regression - Regression Statistics
Multiple R0.866129729061433
R-squared0.750180707564032
Adjusted R-squared0.746662125980427
F-TEST (value)213.205432285412
F-TEST (DF numerator)4
F-TEST (DF denominator)284
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation11.5121194736341
Sum Squared Residuals37638.2061161642






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
158.5852777857.34240345832161.24287432167835
233.6061111146.8083048471793-13.2021937371793
349.0351.681071618681-2.651071618681
449.8113888963.5835944203846-13.7722055303846
534.2180555635.525381505161-1.30732594516095
614.6516666723.9465342599674-9.29486758996743
7107.092777866.448479645833540.6442981541665
89.21388888914.8349351050225-5.62104621602252
928.2347222218.214429490665310.0202927293346
1041.4058333339.28585990824342.11997342175658
1145.9572222244.20424844523631.75297377476368
1265.892560.75408228085875.13841771914131
1348.1461111159.6839468306126-11.5378357206126
1436.9808333338.5192139955467-1.53838066554672
1571.9091666767.00461617772244.90455049227762
1650.0230555648.21210422515151.81095133484854
1790.2219444485.91499574412274.30694869587729
1864.1566666763.89702926122270.25963740877728
1965.7736111150.573486789876915.2001243201231
2037.6313888955.0637793096801-17.4323904196801
2156.3680555673.3510591354186-16.9830035754186
2259.7630555663.1493892868383-3.38633372683826
2395.6380555654.707647464202240.9304080957978
2442.7597222239.56306165122083.19666056877917
2536.9286111159.7280804633329-22.7994693533329
2648.5344444467.7940963423147-19.2596519023147
2748.4486111149.8088741018879-1.36026299188793
2862.6522222255.85676552710946.79545669289057
2962.1262.1517494550314-0.0317494550314527
3034.6713888936.8633873073051-2.19199841730511
3161.5827777861.907888669287-0.325110889286999
3258.5463888961.1324517816049-2.58606289160486
3347.2961111156.1006089067243-8.80449779672432
3472.3780555670.88032082957781.49773473042218
3523.5702777832.741210932837-9.17093315283697
3681.7844444473.00601537781148.77842906218865
3728.0586111123.26789649092434.79071461907572
3859.9002777846.165936376045713.7343414039543
3990.307556.634256625454133.6732433745459
401.9933333333.82889133578286-1.83555800278286
4146.5394444444.21213844184472.32730599815525
4229.5577777824.53308450443045.0246932755696
4326.8222222229.0216413133971-2.19941909339712
4473.8247222261.604377049765112.2203451702349
4574.9030555658.326343259919416.5767123000806
4641.4246.9398945731903-5.51989457319029
4748.8438.415123668962110.4248763310379
4842.4641666743.2428569253843-0.778690255384288
4931.0180555636.3967201129303-5.37866455293028
5032.3355555638.9189285193998-6.58337295939982
51100.639166749.193395793814351.4457709061857
5221.8888888925.6962410778573-3.80735218785734
5350.8797222263.0224856943128-12.1427634743128
5477.212572.49461905010674.71788094989326
5541.8413888957.609966854115-15.768577964115
5646.8913888950.9196791039267-4.02829021392673
576.7188888898.79229707774345-2.07340818874345
5891.4630555664.990589697583526.4724658624165
5918.0636111121.4243479354704-3.36073682547042
6028.082523.05941565898125.02308434101875
6160.8183333352.82930610934087.9890272206592
6267.7922222270.4221307862053-2.62990856620531
6394.8805555657.73598944874837.144566111252
6428.7769444422.3047482742816.47219616571899
6564.8133333370.9492588904896-6.13592556048959
6671.2394444478.9977794282221-7.75833498822205
6757.2669444446.519442070561210.7475023694388
6886.5202777873.357189860880913.1630879191191
6965.568.454288569624-2.95428856962398
7049.427545.63670045492043.79079954507958
7157.5488888949.39483290532978.15405598467026
7254.5980555643.371190278111811.2268652818882
7348.3844444447.52643794977480.858006490225193
7439.7905555649.993652323782-10.203096763782
7552.0997222255.7307466028492-3.63102438284917
7652.1336111164.3549275625846-12.2213164525846
7733.0654.3325365287751-21.272536528775
7850.6088888955.6158436202927-5.0069547302927
7920.43525.3851312037376-4.95013120373759
8054.1608333352.50388220225511.6569511277449
8146.5244444450.080786246874-3.55634180687404
8239.9322222262.8868237470256-22.9546015270256
8376.5391666762.901742249967513.6374244200325
8467.5552777858.40615116280669.14912661719343
8550.8330555647.15482619930633.67822936069367
8637.6802777856.3319225122257-18.6516447322257
8742.3052777847.1334637700698-4.82818599006984
8833.3947222235.3207126766894-1.92599045668944
8996.2458333368.406370787265427.8394625427346
9040.4972222230.204089795286210.2931324247138
9153.7052777866.2236237023836-12.5183459223836
9222.4869444427.3921187298393-4.90517428983933
9334.1038888926.26816346537127.83572542462877
9436.2736111147.2337468595734-10.9601357495734
9531.2808333331.728051325618-0.447217995617999
9679.5744444443.200756517371836.3736879226282
9766.9627777854.059150369094412.9036274109056
9841.23576.2916737977509-35.0566737977509
9956.8647222247.667380052829.19734216718003
10050.577577.5825850062746-27.0050850062746
10138.9844444434.20345688047764.78098755952237
10261.2544444456.59829061327664.65615382672345
10367.5166666750.309728529676617.2069381403234
10445.212547.7153162467784-2.50281624677835
10550.7258333358.7675374116971-8.04170408169714
10664.4827777875.873520509495-11.390742729495
10773.6994444478.8422430939218-5.14279865392176
10823.7705555629.9868437407029-6.21628818070293
10986.3441666782.67021567963763.67395099036242
11062.5166666759.19739589753883.31927077246121
11164.532572.767701833508-8.23520183350796
11240.2683333337.83472303442812.43361029557188
11312.0241666723.987173383572-11.963006713572
11443.26541.30369261999311.96130738000686
11545.752562.6607609651116-16.9082609651116
11656.0944444458.0702122041678-1.97576776416785
11765.4038888972.2154109307845-6.81152204078453
11861.3336111135.679476444990325.6541346650097
11927.6294444430.7587534990457-3.12930905904571
12025.7391666727.5000210598955-1.76085438989551
12137.0355555636.88414159619290.151413963807055
12217.0447222220.4495013891199-3.40477916911989
12334.9805555630.59647104873664.38408451126341
12427.9861111146.8934218556753-18.9073107456753
12562.3747222247.189591144880615.1851310751194
12622.8655555618.79980800069554.06574755930452
12728.3361111120.84131070227057.49480040772952
12828.2008333339.8984366334559-11.6976033034559
12967.6419444474.6773661349886-7.03542169498863
1306.3716666678.5329411729143-2.1612745059143
13111.546111119.15369854072812.3924125692719
13242.3538888958.9105511315344-16.5566622415344
13317.182520.0538895147312-2.87138951473117
13427.7563888932.4757122859573-4.71932339595725
13536.8019444463.9195852660332-27.1176408260332
13688.16573.749263062208914.4157369377911
1375.8483333335.254608773179540.593724559820459
13858.2336111144.331145169883313.9024659401167
1396.29111111117.2822751825642-10.9911640715642
1408.72611111117.5688140884816-8.8427029774816
14112.9716666716.1208868496498-3.14922017964984
14236.5827777838.3130686685732-1.73029088857317
14325.4819444417.76940959965927.71253484034083
14467.9858333359.65674393958738.32908939041275
14551.2527777851.9258170726906-0.673039292690638
14622.1841666725.8485793208955-3.6644126508955
14735.6730555637.5095850974923-1.83652953749232
14827.177533.7429266562927-6.56542665629267
14910.61514.0252899979718-3.4102899979718
15041.972541.93176227225490.0407377277451351
15175.6827777868.1946640102277.48811376977296
15247.91560.9245432722811-13.0095432722811
15330.0119444427.31464413988612.69730030011388
15491.1408333378.383176346180212.7576569838198
15569.6052777874.2881829728004-4.68290519280039
15697.5186111191.21256166595836.30604944404173
15743.8930555645.2232438384012-1.33018827840118
15827.4627777823.41144953083774.05132824916231
15923.7330555631.9055371530012-8.17248159300121
16063.6783333349.293380273428814.3849530565712
16197.6719444470.902222578890526.7697218611095
16223.3908333325.4000486106618-2.00921528066178
16333.4569444430.82717689620882.62976754379122
16490.1661111167.975369516841922.1907415931581
16536.4080555640.3972636083975-3.98920804839751
16656.7419444459.919008295156-3.17706385515597
16745.9841666753.3579480081937-7.37378133819372
16839.3672222235.88239005500783.48483216499218
16932.2355555635.1499462074996-2.91439064749955
17069.457531.980389262364837.4771107376352
17183.2708333355.807358606509727.4634747234903
17254.3994444472.6539474073941-18.254502967394
17348.1277777827.124892718338821.0028850616612
17470.6911111172.2291356173211-1.53802450732111
17528.9969444468.7756854248488-39.7787409848488
17637.8011111122.506785179929515.2943259300705
17755.4158.4479656006692-3.03796560066916
17825.6941666722.31089101633163.38327565366841
17962.3138888978.306555996304-15.992667106304
18037.7169444426.749743390827310.9672010491727
18120.6688888919.2974596613791.371429228621
18222.5666666727.9848316062899-5.41816493628991
1834.085.38940236231342-1.30940236231342
18450.4536111144.03669051501226.41692059498776
18575.5155555669.12359346925066.3919620907494
1861.9997222226.18910326209318-4.18938104009318
18712.9611111111.04929280748321.91181830251683
1884.8741666674.794963217259770.0792034497402274
18937.0466666728.95643122159038.09023544840972
19026.4519444433.1037830342367-6.65183859423672
19142.3891666736.75402836868395.63513830131606
19227.2627777821.32991007414615.93286770585388
19322.1163888925.1123202724099-2.99593138240995
19416.4427777821.5568002477741-5.11402246777412
19538.8727777841.7747415661038-2.9019637861038
19632.9477777835.4391112643793-2.49133348437934
19720.2444444422.0006589425986-1.75621450259859
19818.187523.7915594182633-5.60405941826327
19927.6786111129.427477593346-1.74886648334601
20019.9902777831.5742297161994-11.5839519361994
20121.4644444423.2664246682652-1.8019802282652
20213.6913888924.0038543551658-10.3124654651658
20337.5363888926.973126415600410.5632624743996
20430.1238888922.01498451928598.10890437071406
20524.9294444425.2672893422534-0.337844902253405
20612.3044444418.8965943890479-6.59214994904785
20721.5688888923.5956721225438-2.02678323254382
20850.4244444427.026627639448923.3978168005511
20937.227527.48890511819179.73859488180829
21034.4622222231.49969510119162.96252711880837
21125.7305555618.74191128935436.9886442706457
21233.8466666727.10470092751746.74196574248261
21314.6986111122.1334040929306-7.43479298293063
21422.7422222223.0085463579558-0.266324137955838
21516.3836111118.6348972073885-2.25128609738852
21614.8652777819.4509721226575-4.58569434265746
21716.8922222220.0065215906999-3.11429937069991
21815.6597222216.1778988927258-0.518176672725826
21918.1916666724.3971297191148-6.2054630491148
22022.4858333316.46708493556046.01874839443959
22121.19526.7213745372298-5.52637453722982
22228.8919444427.38832084444421.50362359555585
22327.2511111134.7335716980074-7.48246058800737
22418.8858333323.3503489563737-4.46451562637367
2258.60805555615.2945806609423-6.68652510494229
22637.6272222229.52221086705368.10501135294641
22720.4177777817.30654029067953.11123748932049
22817.5341666734.032985823671-16.498819153671
22917.01525.8719597607457-8.85695976074567
23020.8094444428.5488465910658-7.7394021510658
2318.82611111113.3776402750626-4.55152916406256
23222.6213888924.7456596396222-2.12427074962217
23324.2183333325.0520822842386-0.83374895423859
23413.9138888920.133132345197-6.21924345519701
23518.262528.6400621776674-10.3775621776674
23615.7369444426.6620223133414-10.9250778733414
23743.9997222223.594209742118120.4055124778819
23812.9041666722.8366092503509-9.93244258035086
23920.4511111124.4749018229393-4.02379071293932
24010.6652777820.9451035149838-10.2798257349838
24125.527522.25796063676523.26953936323481
24238.7572222233.78824614152214.96897607847791
24314.4924.2216886601607-9.73168866016074
24414.3241666720.3907257813742-6.06655911137422
24519.597523.6614530586327-4.06395305863272
24623.5711111125.3316147657951-1.76050365579506
24728.4827777830.2105196035044-1.72774182350442
24824.0772222217.73168946504536.34553275495469
24923.8080555619.85768839502863.95036716497142
2509.62833333316.15011828954-6.52178495653998
25141.8277777828.210246759753113.6175310202469
25227.6697222231.9903251234201-4.32060290342009
2535.3747222229.15895771053124-3.78423548853124
25427.6036111120.22552434207447.37808676792559
25523.9527777821.65855515993682.29422262006324
2568.5658333338.92709066687733-0.361257333877334
2578.80722222218.7129658196141-9.90574359761406
25824.9461111121.75271072148383.19340038851616
25917.2466666717.17994365425870.0667230157412537
26011.1530555614.3173939337793-3.16433837377932
2617.67611111114.1770494328317-6.50093832183171
26221.3861111128.3348101714661-6.94869906146607
26310.405555569.542875931055650.862679628944352
26415.0436111125.8336619139713-10.7900508039713
26513.8505555619.7737698787808-5.92321431878081
26623.4269444426.4114353015252-2.98449086152516
26717.8263888928.083636005256-10.257247115256
26816.49523.3319207302219-6.83692073022195
26933.1411111124.89565660583018.24545450416985
27021.3061111130.2561297347267-8.9500186247267
27128.7291666725.90061239245762.82855427754245
27219.5420.0793299371046-0.539329937104578
27312.058333336.076826430499065.98150689950094
27429.1216666729.4555604767936-0.333893806793586
27517.2819444418.2696942791835-0.98774983918348
27619.2511111126.1971186836362-6.94600757363624
27714.7547222211.77326637186762.98145584813243
2785.498.51656715742512-3.02656715742512
27924.0777777825.6892147635593-1.61143698355932
28023.362521.72843039927441.6340696007256
28121.6513888925.2769429035315-3.62555401353151
28224.7536111118.8562423316115.89736877838904
28325.2791666721.01791295740624.26125371259375
28411.188.657503488609572.52249651139043
28517.8297222216.90655391475290.923168305247149
28614.1269444421.6222963097309-7.49535186973086
28715.7258333316.0504186840576-0.324585354057616
28817.4422222228.1651980305795-10.7229758105795
28920.1486111121.7635280532986-1.6149169432986

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 58.58527778 & 57.3424034583216 & 1.24287432167835 \tabularnewline
2 & 33.60611111 & 46.8083048471793 & -13.2021937371793 \tabularnewline
3 & 49.03 & 51.681071618681 & -2.651071618681 \tabularnewline
4 & 49.81138889 & 63.5835944203846 & -13.7722055303846 \tabularnewline
5 & 34.21805556 & 35.525381505161 & -1.30732594516095 \tabularnewline
6 & 14.65166667 & 23.9465342599674 & -9.29486758996743 \tabularnewline
7 & 107.0927778 & 66.4484796458335 & 40.6442981541665 \tabularnewline
8 & 9.213888889 & 14.8349351050225 & -5.62104621602252 \tabularnewline
9 & 28.23472222 & 18.2144294906653 & 10.0202927293346 \tabularnewline
10 & 41.40583333 & 39.2858599082434 & 2.11997342175658 \tabularnewline
11 & 45.95722222 & 44.2042484452363 & 1.75297377476368 \tabularnewline
12 & 65.8925 & 60.7540822808587 & 5.13841771914131 \tabularnewline
13 & 48.14611111 & 59.6839468306126 & -11.5378357206126 \tabularnewline
14 & 36.98083333 & 38.5192139955467 & -1.53838066554672 \tabularnewline
15 & 71.90916667 & 67.0046161777224 & 4.90455049227762 \tabularnewline
16 & 50.02305556 & 48.2121042251515 & 1.81095133484854 \tabularnewline
17 & 90.22194444 & 85.9149957441227 & 4.30694869587729 \tabularnewline
18 & 64.15666667 & 63.8970292612227 & 0.25963740877728 \tabularnewline
19 & 65.77361111 & 50.5734867898769 & 15.2001243201231 \tabularnewline
20 & 37.63138889 & 55.0637793096801 & -17.4323904196801 \tabularnewline
21 & 56.36805556 & 73.3510591354186 & -16.9830035754186 \tabularnewline
22 & 59.76305556 & 63.1493892868383 & -3.38633372683826 \tabularnewline
23 & 95.63805556 & 54.7076474642022 & 40.9304080957978 \tabularnewline
24 & 42.75972222 & 39.5630616512208 & 3.19666056877917 \tabularnewline
25 & 36.92861111 & 59.7280804633329 & -22.7994693533329 \tabularnewline
26 & 48.53444444 & 67.7940963423147 & -19.2596519023147 \tabularnewline
27 & 48.44861111 & 49.8088741018879 & -1.36026299188793 \tabularnewline
28 & 62.65222222 & 55.8567655271094 & 6.79545669289057 \tabularnewline
29 & 62.12 & 62.1517494550314 & -0.0317494550314527 \tabularnewline
30 & 34.67138889 & 36.8633873073051 & -2.19199841730511 \tabularnewline
31 & 61.58277778 & 61.907888669287 & -0.325110889286999 \tabularnewline
32 & 58.54638889 & 61.1324517816049 & -2.58606289160486 \tabularnewline
33 & 47.29611111 & 56.1006089067243 & -8.80449779672432 \tabularnewline
34 & 72.37805556 & 70.8803208295778 & 1.49773473042218 \tabularnewline
35 & 23.57027778 & 32.741210932837 & -9.17093315283697 \tabularnewline
36 & 81.78444444 & 73.0060153778114 & 8.77842906218865 \tabularnewline
37 & 28.05861111 & 23.2678964909243 & 4.79071461907572 \tabularnewline
38 & 59.90027778 & 46.1659363760457 & 13.7343414039543 \tabularnewline
39 & 90.3075 & 56.6342566254541 & 33.6732433745459 \tabularnewline
40 & 1.993333333 & 3.82889133578286 & -1.83555800278286 \tabularnewline
41 & 46.53944444 & 44.2121384418447 & 2.32730599815525 \tabularnewline
42 & 29.55777778 & 24.5330845044304 & 5.0246932755696 \tabularnewline
43 & 26.82222222 & 29.0216413133971 & -2.19941909339712 \tabularnewline
44 & 73.82472222 & 61.6043770497651 & 12.2203451702349 \tabularnewline
45 & 74.90305556 & 58.3263432599194 & 16.5767123000806 \tabularnewline
46 & 41.42 & 46.9398945731903 & -5.51989457319029 \tabularnewline
47 & 48.84 & 38.4151236689621 & 10.4248763310379 \tabularnewline
48 & 42.46416667 & 43.2428569253843 & -0.778690255384288 \tabularnewline
49 & 31.01805556 & 36.3967201129303 & -5.37866455293028 \tabularnewline
50 & 32.33555556 & 38.9189285193998 & -6.58337295939982 \tabularnewline
51 & 100.6391667 & 49.1933957938143 & 51.4457709061857 \tabularnewline
52 & 21.88888889 & 25.6962410778573 & -3.80735218785734 \tabularnewline
53 & 50.87972222 & 63.0224856943128 & -12.1427634743128 \tabularnewline
54 & 77.2125 & 72.4946190501067 & 4.71788094989326 \tabularnewline
55 & 41.84138889 & 57.609966854115 & -15.768577964115 \tabularnewline
56 & 46.89138889 & 50.9196791039267 & -4.02829021392673 \tabularnewline
57 & 6.718888889 & 8.79229707774345 & -2.07340818874345 \tabularnewline
58 & 91.46305556 & 64.9905896975835 & 26.4724658624165 \tabularnewline
59 & 18.06361111 & 21.4243479354704 & -3.36073682547042 \tabularnewline
60 & 28.0825 & 23.0594156589812 & 5.02308434101875 \tabularnewline
61 & 60.81833333 & 52.8293061093408 & 7.9890272206592 \tabularnewline
62 & 67.79222222 & 70.4221307862053 & -2.62990856620531 \tabularnewline
63 & 94.88055556 & 57.735989448748 & 37.144566111252 \tabularnewline
64 & 28.77694444 & 22.304748274281 & 6.47219616571899 \tabularnewline
65 & 64.81333333 & 70.9492588904896 & -6.13592556048959 \tabularnewline
66 & 71.23944444 & 78.9977794282221 & -7.75833498822205 \tabularnewline
67 & 57.26694444 & 46.5194420705612 & 10.7475023694388 \tabularnewline
68 & 86.52027778 & 73.3571898608809 & 13.1630879191191 \tabularnewline
69 & 65.5 & 68.454288569624 & -2.95428856962398 \tabularnewline
70 & 49.4275 & 45.6367004549204 & 3.79079954507958 \tabularnewline
71 & 57.54888889 & 49.3948329053297 & 8.15405598467026 \tabularnewline
72 & 54.59805556 & 43.3711902781118 & 11.2268652818882 \tabularnewline
73 & 48.38444444 & 47.5264379497748 & 0.858006490225193 \tabularnewline
74 & 39.79055556 & 49.993652323782 & -10.203096763782 \tabularnewline
75 & 52.09972222 & 55.7307466028492 & -3.63102438284917 \tabularnewline
76 & 52.13361111 & 64.3549275625846 & -12.2213164525846 \tabularnewline
77 & 33.06 & 54.3325365287751 & -21.272536528775 \tabularnewline
78 & 50.60888889 & 55.6158436202927 & -5.0069547302927 \tabularnewline
79 & 20.435 & 25.3851312037376 & -4.95013120373759 \tabularnewline
80 & 54.16083333 & 52.5038822022551 & 1.6569511277449 \tabularnewline
81 & 46.52444444 & 50.080786246874 & -3.55634180687404 \tabularnewline
82 & 39.93222222 & 62.8868237470256 & -22.9546015270256 \tabularnewline
83 & 76.53916667 & 62.9017422499675 & 13.6374244200325 \tabularnewline
84 & 67.55527778 & 58.4061511628066 & 9.14912661719343 \tabularnewline
85 & 50.83305556 & 47.1548261993063 & 3.67822936069367 \tabularnewline
86 & 37.68027778 & 56.3319225122257 & -18.6516447322257 \tabularnewline
87 & 42.30527778 & 47.1334637700698 & -4.82818599006984 \tabularnewline
88 & 33.39472222 & 35.3207126766894 & -1.92599045668944 \tabularnewline
89 & 96.24583333 & 68.4063707872654 & 27.8394625427346 \tabularnewline
90 & 40.49722222 & 30.2040897952862 & 10.2931324247138 \tabularnewline
91 & 53.70527778 & 66.2236237023836 & -12.5183459223836 \tabularnewline
92 & 22.48694444 & 27.3921187298393 & -4.90517428983933 \tabularnewline
93 & 34.10388889 & 26.2681634653712 & 7.83572542462877 \tabularnewline
94 & 36.27361111 & 47.2337468595734 & -10.9601357495734 \tabularnewline
95 & 31.28083333 & 31.728051325618 & -0.447217995617999 \tabularnewline
96 & 79.57444444 & 43.2007565173718 & 36.3736879226282 \tabularnewline
97 & 66.96277778 & 54.0591503690944 & 12.9036274109056 \tabularnewline
98 & 41.235 & 76.2916737977509 & -35.0566737977509 \tabularnewline
99 & 56.86472222 & 47.66738005282 & 9.19734216718003 \tabularnewline
100 & 50.5775 & 77.5825850062746 & -27.0050850062746 \tabularnewline
101 & 38.98444444 & 34.2034568804776 & 4.78098755952237 \tabularnewline
102 & 61.25444444 & 56.5982906132766 & 4.65615382672345 \tabularnewline
103 & 67.51666667 & 50.3097285296766 & 17.2069381403234 \tabularnewline
104 & 45.2125 & 47.7153162467784 & -2.50281624677835 \tabularnewline
105 & 50.72583333 & 58.7675374116971 & -8.04170408169714 \tabularnewline
106 & 64.48277778 & 75.873520509495 & -11.390742729495 \tabularnewline
107 & 73.69944444 & 78.8422430939218 & -5.14279865392176 \tabularnewline
108 & 23.77055556 & 29.9868437407029 & -6.21628818070293 \tabularnewline
109 & 86.34416667 & 82.6702156796376 & 3.67395099036242 \tabularnewline
110 & 62.51666667 & 59.1973958975388 & 3.31927077246121 \tabularnewline
111 & 64.5325 & 72.767701833508 & -8.23520183350796 \tabularnewline
112 & 40.26833333 & 37.8347230344281 & 2.43361029557188 \tabularnewline
113 & 12.02416667 & 23.987173383572 & -11.963006713572 \tabularnewline
114 & 43.265 & 41.3036926199931 & 1.96130738000686 \tabularnewline
115 & 45.7525 & 62.6607609651116 & -16.9082609651116 \tabularnewline
116 & 56.09444444 & 58.0702122041678 & -1.97576776416785 \tabularnewline
117 & 65.40388889 & 72.2154109307845 & -6.81152204078453 \tabularnewline
118 & 61.33361111 & 35.6794764449903 & 25.6541346650097 \tabularnewline
119 & 27.62944444 & 30.7587534990457 & -3.12930905904571 \tabularnewline
120 & 25.73916667 & 27.5000210598955 & -1.76085438989551 \tabularnewline
121 & 37.03555556 & 36.8841415961929 & 0.151413963807055 \tabularnewline
122 & 17.04472222 & 20.4495013891199 & -3.40477916911989 \tabularnewline
123 & 34.98055556 & 30.5964710487366 & 4.38408451126341 \tabularnewline
124 & 27.98611111 & 46.8934218556753 & -18.9073107456753 \tabularnewline
125 & 62.37472222 & 47.1895911448806 & 15.1851310751194 \tabularnewline
126 & 22.86555556 & 18.7998080006955 & 4.06574755930452 \tabularnewline
127 & 28.33611111 & 20.8413107022705 & 7.49480040772952 \tabularnewline
128 & 28.20083333 & 39.8984366334559 & -11.6976033034559 \tabularnewline
129 & 67.64194444 & 74.6773661349886 & -7.03542169498863 \tabularnewline
130 & 6.371666667 & 8.5329411729143 & -2.1612745059143 \tabularnewline
131 & 11.54611111 & 9.1536985407281 & 2.3924125692719 \tabularnewline
132 & 42.35388889 & 58.9105511315344 & -16.5566622415344 \tabularnewline
133 & 17.1825 & 20.0538895147312 & -2.87138951473117 \tabularnewline
134 & 27.75638889 & 32.4757122859573 & -4.71932339595725 \tabularnewline
135 & 36.80194444 & 63.9195852660332 & -27.1176408260332 \tabularnewline
136 & 88.165 & 73.7492630622089 & 14.4157369377911 \tabularnewline
137 & 5.848333333 & 5.25460877317954 & 0.593724559820459 \tabularnewline
138 & 58.23361111 & 44.3311451698833 & 13.9024659401167 \tabularnewline
139 & 6.291111111 & 17.2822751825642 & -10.9911640715642 \tabularnewline
140 & 8.726111111 & 17.5688140884816 & -8.8427029774816 \tabularnewline
141 & 12.97166667 & 16.1208868496498 & -3.14922017964984 \tabularnewline
142 & 36.58277778 & 38.3130686685732 & -1.73029088857317 \tabularnewline
143 & 25.48194444 & 17.7694095996592 & 7.71253484034083 \tabularnewline
144 & 67.98583333 & 59.6567439395873 & 8.32908939041275 \tabularnewline
145 & 51.25277778 & 51.9258170726906 & -0.673039292690638 \tabularnewline
146 & 22.18416667 & 25.8485793208955 & -3.6644126508955 \tabularnewline
147 & 35.67305556 & 37.5095850974923 & -1.83652953749232 \tabularnewline
148 & 27.1775 & 33.7429266562927 & -6.56542665629267 \tabularnewline
149 & 10.615 & 14.0252899979718 & -3.4102899979718 \tabularnewline
150 & 41.9725 & 41.9317622722549 & 0.0407377277451351 \tabularnewline
151 & 75.68277778 & 68.194664010227 & 7.48811376977296 \tabularnewline
152 & 47.915 & 60.9245432722811 & -13.0095432722811 \tabularnewline
153 & 30.01194444 & 27.3146441398861 & 2.69730030011388 \tabularnewline
154 & 91.14083333 & 78.3831763461802 & 12.7576569838198 \tabularnewline
155 & 69.60527778 & 74.2881829728004 & -4.68290519280039 \tabularnewline
156 & 97.51861111 & 91.2125616659583 & 6.30604944404173 \tabularnewline
157 & 43.89305556 & 45.2232438384012 & -1.33018827840118 \tabularnewline
158 & 27.46277778 & 23.4114495308377 & 4.05132824916231 \tabularnewline
159 & 23.73305556 & 31.9055371530012 & -8.17248159300121 \tabularnewline
160 & 63.67833333 & 49.2933802734288 & 14.3849530565712 \tabularnewline
161 & 97.67194444 & 70.9022225788905 & 26.7697218611095 \tabularnewline
162 & 23.39083333 & 25.4000486106618 & -2.00921528066178 \tabularnewline
163 & 33.45694444 & 30.8271768962088 & 2.62976754379122 \tabularnewline
164 & 90.16611111 & 67.9753695168419 & 22.1907415931581 \tabularnewline
165 & 36.40805556 & 40.3972636083975 & -3.98920804839751 \tabularnewline
166 & 56.74194444 & 59.919008295156 & -3.17706385515597 \tabularnewline
167 & 45.98416667 & 53.3579480081937 & -7.37378133819372 \tabularnewline
168 & 39.36722222 & 35.8823900550078 & 3.48483216499218 \tabularnewline
169 & 32.23555556 & 35.1499462074996 & -2.91439064749955 \tabularnewline
170 & 69.4575 & 31.9803892623648 & 37.4771107376352 \tabularnewline
171 & 83.27083333 & 55.8073586065097 & 27.4634747234903 \tabularnewline
172 & 54.39944444 & 72.6539474073941 & -18.254502967394 \tabularnewline
173 & 48.12777778 & 27.1248927183388 & 21.0028850616612 \tabularnewline
174 & 70.69111111 & 72.2291356173211 & -1.53802450732111 \tabularnewline
175 & 28.99694444 & 68.7756854248488 & -39.7787409848488 \tabularnewline
176 & 37.80111111 & 22.5067851799295 & 15.2943259300705 \tabularnewline
177 & 55.41 & 58.4479656006692 & -3.03796560066916 \tabularnewline
178 & 25.69416667 & 22.3108910163316 & 3.38327565366841 \tabularnewline
179 & 62.31388889 & 78.306555996304 & -15.992667106304 \tabularnewline
180 & 37.71694444 & 26.7497433908273 & 10.9672010491727 \tabularnewline
181 & 20.66888889 & 19.297459661379 & 1.371429228621 \tabularnewline
182 & 22.56666667 & 27.9848316062899 & -5.41816493628991 \tabularnewline
183 & 4.08 & 5.38940236231342 & -1.30940236231342 \tabularnewline
184 & 50.45361111 & 44.0366905150122 & 6.41692059498776 \tabularnewline
185 & 75.51555556 & 69.1235934692506 & 6.3919620907494 \tabularnewline
186 & 1.999722222 & 6.18910326209318 & -4.18938104009318 \tabularnewline
187 & 12.96111111 & 11.0492928074832 & 1.91181830251683 \tabularnewline
188 & 4.874166667 & 4.79496321725977 & 0.0792034497402274 \tabularnewline
189 & 37.04666667 & 28.9564312215903 & 8.09023544840972 \tabularnewline
190 & 26.45194444 & 33.1037830342367 & -6.65183859423672 \tabularnewline
191 & 42.38916667 & 36.7540283686839 & 5.63513830131606 \tabularnewline
192 & 27.26277778 & 21.3299100741461 & 5.93286770585388 \tabularnewline
193 & 22.11638889 & 25.1123202724099 & -2.99593138240995 \tabularnewline
194 & 16.44277778 & 21.5568002477741 & -5.11402246777412 \tabularnewline
195 & 38.87277778 & 41.7747415661038 & -2.9019637861038 \tabularnewline
196 & 32.94777778 & 35.4391112643793 & -2.49133348437934 \tabularnewline
197 & 20.24444444 & 22.0006589425986 & -1.75621450259859 \tabularnewline
198 & 18.1875 & 23.7915594182633 & -5.60405941826327 \tabularnewline
199 & 27.67861111 & 29.427477593346 & -1.74886648334601 \tabularnewline
200 & 19.99027778 & 31.5742297161994 & -11.5839519361994 \tabularnewline
201 & 21.46444444 & 23.2664246682652 & -1.8019802282652 \tabularnewline
202 & 13.69138889 & 24.0038543551658 & -10.3124654651658 \tabularnewline
203 & 37.53638889 & 26.9731264156004 & 10.5632624743996 \tabularnewline
204 & 30.12388889 & 22.0149845192859 & 8.10890437071406 \tabularnewline
205 & 24.92944444 & 25.2672893422534 & -0.337844902253405 \tabularnewline
206 & 12.30444444 & 18.8965943890479 & -6.59214994904785 \tabularnewline
207 & 21.56888889 & 23.5956721225438 & -2.02678323254382 \tabularnewline
208 & 50.42444444 & 27.0266276394489 & 23.3978168005511 \tabularnewline
209 & 37.2275 & 27.4889051181917 & 9.73859488180829 \tabularnewline
210 & 34.46222222 & 31.4996951011916 & 2.96252711880837 \tabularnewline
211 & 25.73055556 & 18.7419112893543 & 6.9886442706457 \tabularnewline
212 & 33.84666667 & 27.1047009275174 & 6.74196574248261 \tabularnewline
213 & 14.69861111 & 22.1334040929306 & -7.43479298293063 \tabularnewline
214 & 22.74222222 & 23.0085463579558 & -0.266324137955838 \tabularnewline
215 & 16.38361111 & 18.6348972073885 & -2.25128609738852 \tabularnewline
216 & 14.86527778 & 19.4509721226575 & -4.58569434265746 \tabularnewline
217 & 16.89222222 & 20.0065215906999 & -3.11429937069991 \tabularnewline
218 & 15.65972222 & 16.1778988927258 & -0.518176672725826 \tabularnewline
219 & 18.19166667 & 24.3971297191148 & -6.2054630491148 \tabularnewline
220 & 22.48583333 & 16.4670849355604 & 6.01874839443959 \tabularnewline
221 & 21.195 & 26.7213745372298 & -5.52637453722982 \tabularnewline
222 & 28.89194444 & 27.3883208444442 & 1.50362359555585 \tabularnewline
223 & 27.25111111 & 34.7335716980074 & -7.48246058800737 \tabularnewline
224 & 18.88583333 & 23.3503489563737 & -4.46451562637367 \tabularnewline
225 & 8.608055556 & 15.2945806609423 & -6.68652510494229 \tabularnewline
226 & 37.62722222 & 29.5222108670536 & 8.10501135294641 \tabularnewline
227 & 20.41777778 & 17.3065402906795 & 3.11123748932049 \tabularnewline
228 & 17.53416667 & 34.032985823671 & -16.498819153671 \tabularnewline
229 & 17.015 & 25.8719597607457 & -8.85695976074567 \tabularnewline
230 & 20.80944444 & 28.5488465910658 & -7.7394021510658 \tabularnewline
231 & 8.826111111 & 13.3776402750626 & -4.55152916406256 \tabularnewline
232 & 22.62138889 & 24.7456596396222 & -2.12427074962217 \tabularnewline
233 & 24.21833333 & 25.0520822842386 & -0.83374895423859 \tabularnewline
234 & 13.91388889 & 20.133132345197 & -6.21924345519701 \tabularnewline
235 & 18.2625 & 28.6400621776674 & -10.3775621776674 \tabularnewline
236 & 15.73694444 & 26.6620223133414 & -10.9250778733414 \tabularnewline
237 & 43.99972222 & 23.5942097421181 & 20.4055124778819 \tabularnewline
238 & 12.90416667 & 22.8366092503509 & -9.93244258035086 \tabularnewline
239 & 20.45111111 & 24.4749018229393 & -4.02379071293932 \tabularnewline
240 & 10.66527778 & 20.9451035149838 & -10.2798257349838 \tabularnewline
241 & 25.5275 & 22.2579606367652 & 3.26953936323481 \tabularnewline
242 & 38.75722222 & 33.7882461415221 & 4.96897607847791 \tabularnewline
243 & 14.49 & 24.2216886601607 & -9.73168866016074 \tabularnewline
244 & 14.32416667 & 20.3907257813742 & -6.06655911137422 \tabularnewline
245 & 19.5975 & 23.6614530586327 & -4.06395305863272 \tabularnewline
246 & 23.57111111 & 25.3316147657951 & -1.76050365579506 \tabularnewline
247 & 28.48277778 & 30.2105196035044 & -1.72774182350442 \tabularnewline
248 & 24.07722222 & 17.7316894650453 & 6.34553275495469 \tabularnewline
249 & 23.80805556 & 19.8576883950286 & 3.95036716497142 \tabularnewline
250 & 9.628333333 & 16.15011828954 & -6.52178495653998 \tabularnewline
251 & 41.82777778 & 28.2102467597531 & 13.6175310202469 \tabularnewline
252 & 27.66972222 & 31.9903251234201 & -4.32060290342009 \tabularnewline
253 & 5.374722222 & 9.15895771053124 & -3.78423548853124 \tabularnewline
254 & 27.60361111 & 20.2255243420744 & 7.37808676792559 \tabularnewline
255 & 23.95277778 & 21.6585551599368 & 2.29422262006324 \tabularnewline
256 & 8.565833333 & 8.92709066687733 & -0.361257333877334 \tabularnewline
257 & 8.807222222 & 18.7129658196141 & -9.90574359761406 \tabularnewline
258 & 24.94611111 & 21.7527107214838 & 3.19340038851616 \tabularnewline
259 & 17.24666667 & 17.1799436542587 & 0.0667230157412537 \tabularnewline
260 & 11.15305556 & 14.3173939337793 & -3.16433837377932 \tabularnewline
261 & 7.676111111 & 14.1770494328317 & -6.50093832183171 \tabularnewline
262 & 21.38611111 & 28.3348101714661 & -6.94869906146607 \tabularnewline
263 & 10.40555556 & 9.54287593105565 & 0.862679628944352 \tabularnewline
264 & 15.04361111 & 25.8336619139713 & -10.7900508039713 \tabularnewline
265 & 13.85055556 & 19.7737698787808 & -5.92321431878081 \tabularnewline
266 & 23.42694444 & 26.4114353015252 & -2.98449086152516 \tabularnewline
267 & 17.82638889 & 28.083636005256 & -10.257247115256 \tabularnewline
268 & 16.495 & 23.3319207302219 & -6.83692073022195 \tabularnewline
269 & 33.14111111 & 24.8956566058301 & 8.24545450416985 \tabularnewline
270 & 21.30611111 & 30.2561297347267 & -8.9500186247267 \tabularnewline
271 & 28.72916667 & 25.9006123924576 & 2.82855427754245 \tabularnewline
272 & 19.54 & 20.0793299371046 & -0.539329937104578 \tabularnewline
273 & 12.05833333 & 6.07682643049906 & 5.98150689950094 \tabularnewline
274 & 29.12166667 & 29.4555604767936 & -0.333893806793586 \tabularnewline
275 & 17.28194444 & 18.2696942791835 & -0.98774983918348 \tabularnewline
276 & 19.25111111 & 26.1971186836362 & -6.94600757363624 \tabularnewline
277 & 14.75472222 & 11.7732663718676 & 2.98145584813243 \tabularnewline
278 & 5.49 & 8.51656715742512 & -3.02656715742512 \tabularnewline
279 & 24.07777778 & 25.6892147635593 & -1.61143698355932 \tabularnewline
280 & 23.3625 & 21.7284303992744 & 1.6340696007256 \tabularnewline
281 & 21.65138889 & 25.2769429035315 & -3.62555401353151 \tabularnewline
282 & 24.75361111 & 18.856242331611 & 5.89736877838904 \tabularnewline
283 & 25.27916667 & 21.0179129574062 & 4.26125371259375 \tabularnewline
284 & 11.18 & 8.65750348860957 & 2.52249651139043 \tabularnewline
285 & 17.82972222 & 16.9065539147529 & 0.923168305247149 \tabularnewline
286 & 14.12694444 & 21.6222963097309 & -7.49535186973086 \tabularnewline
287 & 15.72583333 & 16.0504186840576 & -0.324585354057616 \tabularnewline
288 & 17.44222222 & 28.1651980305795 & -10.7229758105795 \tabularnewline
289 & 20.14861111 & 21.7635280532986 & -1.6149169432986 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197679&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]58.58527778[/C][C]57.3424034583216[/C][C]1.24287432167835[/C][/ROW]
[ROW][C]2[/C][C]33.60611111[/C][C]46.8083048471793[/C][C]-13.2021937371793[/C][/ROW]
[ROW][C]3[/C][C]49.03[/C][C]51.681071618681[/C][C]-2.651071618681[/C][/ROW]
[ROW][C]4[/C][C]49.81138889[/C][C]63.5835944203846[/C][C]-13.7722055303846[/C][/ROW]
[ROW][C]5[/C][C]34.21805556[/C][C]35.525381505161[/C][C]-1.30732594516095[/C][/ROW]
[ROW][C]6[/C][C]14.65166667[/C][C]23.9465342599674[/C][C]-9.29486758996743[/C][/ROW]
[ROW][C]7[/C][C]107.0927778[/C][C]66.4484796458335[/C][C]40.6442981541665[/C][/ROW]
[ROW][C]8[/C][C]9.213888889[/C][C]14.8349351050225[/C][C]-5.62104621602252[/C][/ROW]
[ROW][C]9[/C][C]28.23472222[/C][C]18.2144294906653[/C][C]10.0202927293346[/C][/ROW]
[ROW][C]10[/C][C]41.40583333[/C][C]39.2858599082434[/C][C]2.11997342175658[/C][/ROW]
[ROW][C]11[/C][C]45.95722222[/C][C]44.2042484452363[/C][C]1.75297377476368[/C][/ROW]
[ROW][C]12[/C][C]65.8925[/C][C]60.7540822808587[/C][C]5.13841771914131[/C][/ROW]
[ROW][C]13[/C][C]48.14611111[/C][C]59.6839468306126[/C][C]-11.5378357206126[/C][/ROW]
[ROW][C]14[/C][C]36.98083333[/C][C]38.5192139955467[/C][C]-1.53838066554672[/C][/ROW]
[ROW][C]15[/C][C]71.90916667[/C][C]67.0046161777224[/C][C]4.90455049227762[/C][/ROW]
[ROW][C]16[/C][C]50.02305556[/C][C]48.2121042251515[/C][C]1.81095133484854[/C][/ROW]
[ROW][C]17[/C][C]90.22194444[/C][C]85.9149957441227[/C][C]4.30694869587729[/C][/ROW]
[ROW][C]18[/C][C]64.15666667[/C][C]63.8970292612227[/C][C]0.25963740877728[/C][/ROW]
[ROW][C]19[/C][C]65.77361111[/C][C]50.5734867898769[/C][C]15.2001243201231[/C][/ROW]
[ROW][C]20[/C][C]37.63138889[/C][C]55.0637793096801[/C][C]-17.4323904196801[/C][/ROW]
[ROW][C]21[/C][C]56.36805556[/C][C]73.3510591354186[/C][C]-16.9830035754186[/C][/ROW]
[ROW][C]22[/C][C]59.76305556[/C][C]63.1493892868383[/C][C]-3.38633372683826[/C][/ROW]
[ROW][C]23[/C][C]95.63805556[/C][C]54.7076474642022[/C][C]40.9304080957978[/C][/ROW]
[ROW][C]24[/C][C]42.75972222[/C][C]39.5630616512208[/C][C]3.19666056877917[/C][/ROW]
[ROW][C]25[/C][C]36.92861111[/C][C]59.7280804633329[/C][C]-22.7994693533329[/C][/ROW]
[ROW][C]26[/C][C]48.53444444[/C][C]67.7940963423147[/C][C]-19.2596519023147[/C][/ROW]
[ROW][C]27[/C][C]48.44861111[/C][C]49.8088741018879[/C][C]-1.36026299188793[/C][/ROW]
[ROW][C]28[/C][C]62.65222222[/C][C]55.8567655271094[/C][C]6.79545669289057[/C][/ROW]
[ROW][C]29[/C][C]62.12[/C][C]62.1517494550314[/C][C]-0.0317494550314527[/C][/ROW]
[ROW][C]30[/C][C]34.67138889[/C][C]36.8633873073051[/C][C]-2.19199841730511[/C][/ROW]
[ROW][C]31[/C][C]61.58277778[/C][C]61.907888669287[/C][C]-0.325110889286999[/C][/ROW]
[ROW][C]32[/C][C]58.54638889[/C][C]61.1324517816049[/C][C]-2.58606289160486[/C][/ROW]
[ROW][C]33[/C][C]47.29611111[/C][C]56.1006089067243[/C][C]-8.80449779672432[/C][/ROW]
[ROW][C]34[/C][C]72.37805556[/C][C]70.8803208295778[/C][C]1.49773473042218[/C][/ROW]
[ROW][C]35[/C][C]23.57027778[/C][C]32.741210932837[/C][C]-9.17093315283697[/C][/ROW]
[ROW][C]36[/C][C]81.78444444[/C][C]73.0060153778114[/C][C]8.77842906218865[/C][/ROW]
[ROW][C]37[/C][C]28.05861111[/C][C]23.2678964909243[/C][C]4.79071461907572[/C][/ROW]
[ROW][C]38[/C][C]59.90027778[/C][C]46.1659363760457[/C][C]13.7343414039543[/C][/ROW]
[ROW][C]39[/C][C]90.3075[/C][C]56.6342566254541[/C][C]33.6732433745459[/C][/ROW]
[ROW][C]40[/C][C]1.993333333[/C][C]3.82889133578286[/C][C]-1.83555800278286[/C][/ROW]
[ROW][C]41[/C][C]46.53944444[/C][C]44.2121384418447[/C][C]2.32730599815525[/C][/ROW]
[ROW][C]42[/C][C]29.55777778[/C][C]24.5330845044304[/C][C]5.0246932755696[/C][/ROW]
[ROW][C]43[/C][C]26.82222222[/C][C]29.0216413133971[/C][C]-2.19941909339712[/C][/ROW]
[ROW][C]44[/C][C]73.82472222[/C][C]61.6043770497651[/C][C]12.2203451702349[/C][/ROW]
[ROW][C]45[/C][C]74.90305556[/C][C]58.3263432599194[/C][C]16.5767123000806[/C][/ROW]
[ROW][C]46[/C][C]41.42[/C][C]46.9398945731903[/C][C]-5.51989457319029[/C][/ROW]
[ROW][C]47[/C][C]48.84[/C][C]38.4151236689621[/C][C]10.4248763310379[/C][/ROW]
[ROW][C]48[/C][C]42.46416667[/C][C]43.2428569253843[/C][C]-0.778690255384288[/C][/ROW]
[ROW][C]49[/C][C]31.01805556[/C][C]36.3967201129303[/C][C]-5.37866455293028[/C][/ROW]
[ROW][C]50[/C][C]32.33555556[/C][C]38.9189285193998[/C][C]-6.58337295939982[/C][/ROW]
[ROW][C]51[/C][C]100.6391667[/C][C]49.1933957938143[/C][C]51.4457709061857[/C][/ROW]
[ROW][C]52[/C][C]21.88888889[/C][C]25.6962410778573[/C][C]-3.80735218785734[/C][/ROW]
[ROW][C]53[/C][C]50.87972222[/C][C]63.0224856943128[/C][C]-12.1427634743128[/C][/ROW]
[ROW][C]54[/C][C]77.2125[/C][C]72.4946190501067[/C][C]4.71788094989326[/C][/ROW]
[ROW][C]55[/C][C]41.84138889[/C][C]57.609966854115[/C][C]-15.768577964115[/C][/ROW]
[ROW][C]56[/C][C]46.89138889[/C][C]50.9196791039267[/C][C]-4.02829021392673[/C][/ROW]
[ROW][C]57[/C][C]6.718888889[/C][C]8.79229707774345[/C][C]-2.07340818874345[/C][/ROW]
[ROW][C]58[/C][C]91.46305556[/C][C]64.9905896975835[/C][C]26.4724658624165[/C][/ROW]
[ROW][C]59[/C][C]18.06361111[/C][C]21.4243479354704[/C][C]-3.36073682547042[/C][/ROW]
[ROW][C]60[/C][C]28.0825[/C][C]23.0594156589812[/C][C]5.02308434101875[/C][/ROW]
[ROW][C]61[/C][C]60.81833333[/C][C]52.8293061093408[/C][C]7.9890272206592[/C][/ROW]
[ROW][C]62[/C][C]67.79222222[/C][C]70.4221307862053[/C][C]-2.62990856620531[/C][/ROW]
[ROW][C]63[/C][C]94.88055556[/C][C]57.735989448748[/C][C]37.144566111252[/C][/ROW]
[ROW][C]64[/C][C]28.77694444[/C][C]22.304748274281[/C][C]6.47219616571899[/C][/ROW]
[ROW][C]65[/C][C]64.81333333[/C][C]70.9492588904896[/C][C]-6.13592556048959[/C][/ROW]
[ROW][C]66[/C][C]71.23944444[/C][C]78.9977794282221[/C][C]-7.75833498822205[/C][/ROW]
[ROW][C]67[/C][C]57.26694444[/C][C]46.5194420705612[/C][C]10.7475023694388[/C][/ROW]
[ROW][C]68[/C][C]86.52027778[/C][C]73.3571898608809[/C][C]13.1630879191191[/C][/ROW]
[ROW][C]69[/C][C]65.5[/C][C]68.454288569624[/C][C]-2.95428856962398[/C][/ROW]
[ROW][C]70[/C][C]49.4275[/C][C]45.6367004549204[/C][C]3.79079954507958[/C][/ROW]
[ROW][C]71[/C][C]57.54888889[/C][C]49.3948329053297[/C][C]8.15405598467026[/C][/ROW]
[ROW][C]72[/C][C]54.59805556[/C][C]43.3711902781118[/C][C]11.2268652818882[/C][/ROW]
[ROW][C]73[/C][C]48.38444444[/C][C]47.5264379497748[/C][C]0.858006490225193[/C][/ROW]
[ROW][C]74[/C][C]39.79055556[/C][C]49.993652323782[/C][C]-10.203096763782[/C][/ROW]
[ROW][C]75[/C][C]52.09972222[/C][C]55.7307466028492[/C][C]-3.63102438284917[/C][/ROW]
[ROW][C]76[/C][C]52.13361111[/C][C]64.3549275625846[/C][C]-12.2213164525846[/C][/ROW]
[ROW][C]77[/C][C]33.06[/C][C]54.3325365287751[/C][C]-21.272536528775[/C][/ROW]
[ROW][C]78[/C][C]50.60888889[/C][C]55.6158436202927[/C][C]-5.0069547302927[/C][/ROW]
[ROW][C]79[/C][C]20.435[/C][C]25.3851312037376[/C][C]-4.95013120373759[/C][/ROW]
[ROW][C]80[/C][C]54.16083333[/C][C]52.5038822022551[/C][C]1.6569511277449[/C][/ROW]
[ROW][C]81[/C][C]46.52444444[/C][C]50.080786246874[/C][C]-3.55634180687404[/C][/ROW]
[ROW][C]82[/C][C]39.93222222[/C][C]62.8868237470256[/C][C]-22.9546015270256[/C][/ROW]
[ROW][C]83[/C][C]76.53916667[/C][C]62.9017422499675[/C][C]13.6374244200325[/C][/ROW]
[ROW][C]84[/C][C]67.55527778[/C][C]58.4061511628066[/C][C]9.14912661719343[/C][/ROW]
[ROW][C]85[/C][C]50.83305556[/C][C]47.1548261993063[/C][C]3.67822936069367[/C][/ROW]
[ROW][C]86[/C][C]37.68027778[/C][C]56.3319225122257[/C][C]-18.6516447322257[/C][/ROW]
[ROW][C]87[/C][C]42.30527778[/C][C]47.1334637700698[/C][C]-4.82818599006984[/C][/ROW]
[ROW][C]88[/C][C]33.39472222[/C][C]35.3207126766894[/C][C]-1.92599045668944[/C][/ROW]
[ROW][C]89[/C][C]96.24583333[/C][C]68.4063707872654[/C][C]27.8394625427346[/C][/ROW]
[ROW][C]90[/C][C]40.49722222[/C][C]30.2040897952862[/C][C]10.2931324247138[/C][/ROW]
[ROW][C]91[/C][C]53.70527778[/C][C]66.2236237023836[/C][C]-12.5183459223836[/C][/ROW]
[ROW][C]92[/C][C]22.48694444[/C][C]27.3921187298393[/C][C]-4.90517428983933[/C][/ROW]
[ROW][C]93[/C][C]34.10388889[/C][C]26.2681634653712[/C][C]7.83572542462877[/C][/ROW]
[ROW][C]94[/C][C]36.27361111[/C][C]47.2337468595734[/C][C]-10.9601357495734[/C][/ROW]
[ROW][C]95[/C][C]31.28083333[/C][C]31.728051325618[/C][C]-0.447217995617999[/C][/ROW]
[ROW][C]96[/C][C]79.57444444[/C][C]43.2007565173718[/C][C]36.3736879226282[/C][/ROW]
[ROW][C]97[/C][C]66.96277778[/C][C]54.0591503690944[/C][C]12.9036274109056[/C][/ROW]
[ROW][C]98[/C][C]41.235[/C][C]76.2916737977509[/C][C]-35.0566737977509[/C][/ROW]
[ROW][C]99[/C][C]56.86472222[/C][C]47.66738005282[/C][C]9.19734216718003[/C][/ROW]
[ROW][C]100[/C][C]50.5775[/C][C]77.5825850062746[/C][C]-27.0050850062746[/C][/ROW]
[ROW][C]101[/C][C]38.98444444[/C][C]34.2034568804776[/C][C]4.78098755952237[/C][/ROW]
[ROW][C]102[/C][C]61.25444444[/C][C]56.5982906132766[/C][C]4.65615382672345[/C][/ROW]
[ROW][C]103[/C][C]67.51666667[/C][C]50.3097285296766[/C][C]17.2069381403234[/C][/ROW]
[ROW][C]104[/C][C]45.2125[/C][C]47.7153162467784[/C][C]-2.50281624677835[/C][/ROW]
[ROW][C]105[/C][C]50.72583333[/C][C]58.7675374116971[/C][C]-8.04170408169714[/C][/ROW]
[ROW][C]106[/C][C]64.48277778[/C][C]75.873520509495[/C][C]-11.390742729495[/C][/ROW]
[ROW][C]107[/C][C]73.69944444[/C][C]78.8422430939218[/C][C]-5.14279865392176[/C][/ROW]
[ROW][C]108[/C][C]23.77055556[/C][C]29.9868437407029[/C][C]-6.21628818070293[/C][/ROW]
[ROW][C]109[/C][C]86.34416667[/C][C]82.6702156796376[/C][C]3.67395099036242[/C][/ROW]
[ROW][C]110[/C][C]62.51666667[/C][C]59.1973958975388[/C][C]3.31927077246121[/C][/ROW]
[ROW][C]111[/C][C]64.5325[/C][C]72.767701833508[/C][C]-8.23520183350796[/C][/ROW]
[ROW][C]112[/C][C]40.26833333[/C][C]37.8347230344281[/C][C]2.43361029557188[/C][/ROW]
[ROW][C]113[/C][C]12.02416667[/C][C]23.987173383572[/C][C]-11.963006713572[/C][/ROW]
[ROW][C]114[/C][C]43.265[/C][C]41.3036926199931[/C][C]1.96130738000686[/C][/ROW]
[ROW][C]115[/C][C]45.7525[/C][C]62.6607609651116[/C][C]-16.9082609651116[/C][/ROW]
[ROW][C]116[/C][C]56.09444444[/C][C]58.0702122041678[/C][C]-1.97576776416785[/C][/ROW]
[ROW][C]117[/C][C]65.40388889[/C][C]72.2154109307845[/C][C]-6.81152204078453[/C][/ROW]
[ROW][C]118[/C][C]61.33361111[/C][C]35.6794764449903[/C][C]25.6541346650097[/C][/ROW]
[ROW][C]119[/C][C]27.62944444[/C][C]30.7587534990457[/C][C]-3.12930905904571[/C][/ROW]
[ROW][C]120[/C][C]25.73916667[/C][C]27.5000210598955[/C][C]-1.76085438989551[/C][/ROW]
[ROW][C]121[/C][C]37.03555556[/C][C]36.8841415961929[/C][C]0.151413963807055[/C][/ROW]
[ROW][C]122[/C][C]17.04472222[/C][C]20.4495013891199[/C][C]-3.40477916911989[/C][/ROW]
[ROW][C]123[/C][C]34.98055556[/C][C]30.5964710487366[/C][C]4.38408451126341[/C][/ROW]
[ROW][C]124[/C][C]27.98611111[/C][C]46.8934218556753[/C][C]-18.9073107456753[/C][/ROW]
[ROW][C]125[/C][C]62.37472222[/C][C]47.1895911448806[/C][C]15.1851310751194[/C][/ROW]
[ROW][C]126[/C][C]22.86555556[/C][C]18.7998080006955[/C][C]4.06574755930452[/C][/ROW]
[ROW][C]127[/C][C]28.33611111[/C][C]20.8413107022705[/C][C]7.49480040772952[/C][/ROW]
[ROW][C]128[/C][C]28.20083333[/C][C]39.8984366334559[/C][C]-11.6976033034559[/C][/ROW]
[ROW][C]129[/C][C]67.64194444[/C][C]74.6773661349886[/C][C]-7.03542169498863[/C][/ROW]
[ROW][C]130[/C][C]6.371666667[/C][C]8.5329411729143[/C][C]-2.1612745059143[/C][/ROW]
[ROW][C]131[/C][C]11.54611111[/C][C]9.1536985407281[/C][C]2.3924125692719[/C][/ROW]
[ROW][C]132[/C][C]42.35388889[/C][C]58.9105511315344[/C][C]-16.5566622415344[/C][/ROW]
[ROW][C]133[/C][C]17.1825[/C][C]20.0538895147312[/C][C]-2.87138951473117[/C][/ROW]
[ROW][C]134[/C][C]27.75638889[/C][C]32.4757122859573[/C][C]-4.71932339595725[/C][/ROW]
[ROW][C]135[/C][C]36.80194444[/C][C]63.9195852660332[/C][C]-27.1176408260332[/C][/ROW]
[ROW][C]136[/C][C]88.165[/C][C]73.7492630622089[/C][C]14.4157369377911[/C][/ROW]
[ROW][C]137[/C][C]5.848333333[/C][C]5.25460877317954[/C][C]0.593724559820459[/C][/ROW]
[ROW][C]138[/C][C]58.23361111[/C][C]44.3311451698833[/C][C]13.9024659401167[/C][/ROW]
[ROW][C]139[/C][C]6.291111111[/C][C]17.2822751825642[/C][C]-10.9911640715642[/C][/ROW]
[ROW][C]140[/C][C]8.726111111[/C][C]17.5688140884816[/C][C]-8.8427029774816[/C][/ROW]
[ROW][C]141[/C][C]12.97166667[/C][C]16.1208868496498[/C][C]-3.14922017964984[/C][/ROW]
[ROW][C]142[/C][C]36.58277778[/C][C]38.3130686685732[/C][C]-1.73029088857317[/C][/ROW]
[ROW][C]143[/C][C]25.48194444[/C][C]17.7694095996592[/C][C]7.71253484034083[/C][/ROW]
[ROW][C]144[/C][C]67.98583333[/C][C]59.6567439395873[/C][C]8.32908939041275[/C][/ROW]
[ROW][C]145[/C][C]51.25277778[/C][C]51.9258170726906[/C][C]-0.673039292690638[/C][/ROW]
[ROW][C]146[/C][C]22.18416667[/C][C]25.8485793208955[/C][C]-3.6644126508955[/C][/ROW]
[ROW][C]147[/C][C]35.67305556[/C][C]37.5095850974923[/C][C]-1.83652953749232[/C][/ROW]
[ROW][C]148[/C][C]27.1775[/C][C]33.7429266562927[/C][C]-6.56542665629267[/C][/ROW]
[ROW][C]149[/C][C]10.615[/C][C]14.0252899979718[/C][C]-3.4102899979718[/C][/ROW]
[ROW][C]150[/C][C]41.9725[/C][C]41.9317622722549[/C][C]0.0407377277451351[/C][/ROW]
[ROW][C]151[/C][C]75.68277778[/C][C]68.194664010227[/C][C]7.48811376977296[/C][/ROW]
[ROW][C]152[/C][C]47.915[/C][C]60.9245432722811[/C][C]-13.0095432722811[/C][/ROW]
[ROW][C]153[/C][C]30.01194444[/C][C]27.3146441398861[/C][C]2.69730030011388[/C][/ROW]
[ROW][C]154[/C][C]91.14083333[/C][C]78.3831763461802[/C][C]12.7576569838198[/C][/ROW]
[ROW][C]155[/C][C]69.60527778[/C][C]74.2881829728004[/C][C]-4.68290519280039[/C][/ROW]
[ROW][C]156[/C][C]97.51861111[/C][C]91.2125616659583[/C][C]6.30604944404173[/C][/ROW]
[ROW][C]157[/C][C]43.89305556[/C][C]45.2232438384012[/C][C]-1.33018827840118[/C][/ROW]
[ROW][C]158[/C][C]27.46277778[/C][C]23.4114495308377[/C][C]4.05132824916231[/C][/ROW]
[ROW][C]159[/C][C]23.73305556[/C][C]31.9055371530012[/C][C]-8.17248159300121[/C][/ROW]
[ROW][C]160[/C][C]63.67833333[/C][C]49.2933802734288[/C][C]14.3849530565712[/C][/ROW]
[ROW][C]161[/C][C]97.67194444[/C][C]70.9022225788905[/C][C]26.7697218611095[/C][/ROW]
[ROW][C]162[/C][C]23.39083333[/C][C]25.4000486106618[/C][C]-2.00921528066178[/C][/ROW]
[ROW][C]163[/C][C]33.45694444[/C][C]30.8271768962088[/C][C]2.62976754379122[/C][/ROW]
[ROW][C]164[/C][C]90.16611111[/C][C]67.9753695168419[/C][C]22.1907415931581[/C][/ROW]
[ROW][C]165[/C][C]36.40805556[/C][C]40.3972636083975[/C][C]-3.98920804839751[/C][/ROW]
[ROW][C]166[/C][C]56.74194444[/C][C]59.919008295156[/C][C]-3.17706385515597[/C][/ROW]
[ROW][C]167[/C][C]45.98416667[/C][C]53.3579480081937[/C][C]-7.37378133819372[/C][/ROW]
[ROW][C]168[/C][C]39.36722222[/C][C]35.8823900550078[/C][C]3.48483216499218[/C][/ROW]
[ROW][C]169[/C][C]32.23555556[/C][C]35.1499462074996[/C][C]-2.91439064749955[/C][/ROW]
[ROW][C]170[/C][C]69.4575[/C][C]31.9803892623648[/C][C]37.4771107376352[/C][/ROW]
[ROW][C]171[/C][C]83.27083333[/C][C]55.8073586065097[/C][C]27.4634747234903[/C][/ROW]
[ROW][C]172[/C][C]54.39944444[/C][C]72.6539474073941[/C][C]-18.254502967394[/C][/ROW]
[ROW][C]173[/C][C]48.12777778[/C][C]27.1248927183388[/C][C]21.0028850616612[/C][/ROW]
[ROW][C]174[/C][C]70.69111111[/C][C]72.2291356173211[/C][C]-1.53802450732111[/C][/ROW]
[ROW][C]175[/C][C]28.99694444[/C][C]68.7756854248488[/C][C]-39.7787409848488[/C][/ROW]
[ROW][C]176[/C][C]37.80111111[/C][C]22.5067851799295[/C][C]15.2943259300705[/C][/ROW]
[ROW][C]177[/C][C]55.41[/C][C]58.4479656006692[/C][C]-3.03796560066916[/C][/ROW]
[ROW][C]178[/C][C]25.69416667[/C][C]22.3108910163316[/C][C]3.38327565366841[/C][/ROW]
[ROW][C]179[/C][C]62.31388889[/C][C]78.306555996304[/C][C]-15.992667106304[/C][/ROW]
[ROW][C]180[/C][C]37.71694444[/C][C]26.7497433908273[/C][C]10.9672010491727[/C][/ROW]
[ROW][C]181[/C][C]20.66888889[/C][C]19.297459661379[/C][C]1.371429228621[/C][/ROW]
[ROW][C]182[/C][C]22.56666667[/C][C]27.9848316062899[/C][C]-5.41816493628991[/C][/ROW]
[ROW][C]183[/C][C]4.08[/C][C]5.38940236231342[/C][C]-1.30940236231342[/C][/ROW]
[ROW][C]184[/C][C]50.45361111[/C][C]44.0366905150122[/C][C]6.41692059498776[/C][/ROW]
[ROW][C]185[/C][C]75.51555556[/C][C]69.1235934692506[/C][C]6.3919620907494[/C][/ROW]
[ROW][C]186[/C][C]1.999722222[/C][C]6.18910326209318[/C][C]-4.18938104009318[/C][/ROW]
[ROW][C]187[/C][C]12.96111111[/C][C]11.0492928074832[/C][C]1.91181830251683[/C][/ROW]
[ROW][C]188[/C][C]4.874166667[/C][C]4.79496321725977[/C][C]0.0792034497402274[/C][/ROW]
[ROW][C]189[/C][C]37.04666667[/C][C]28.9564312215903[/C][C]8.09023544840972[/C][/ROW]
[ROW][C]190[/C][C]26.45194444[/C][C]33.1037830342367[/C][C]-6.65183859423672[/C][/ROW]
[ROW][C]191[/C][C]42.38916667[/C][C]36.7540283686839[/C][C]5.63513830131606[/C][/ROW]
[ROW][C]192[/C][C]27.26277778[/C][C]21.3299100741461[/C][C]5.93286770585388[/C][/ROW]
[ROW][C]193[/C][C]22.11638889[/C][C]25.1123202724099[/C][C]-2.99593138240995[/C][/ROW]
[ROW][C]194[/C][C]16.44277778[/C][C]21.5568002477741[/C][C]-5.11402246777412[/C][/ROW]
[ROW][C]195[/C][C]38.87277778[/C][C]41.7747415661038[/C][C]-2.9019637861038[/C][/ROW]
[ROW][C]196[/C][C]32.94777778[/C][C]35.4391112643793[/C][C]-2.49133348437934[/C][/ROW]
[ROW][C]197[/C][C]20.24444444[/C][C]22.0006589425986[/C][C]-1.75621450259859[/C][/ROW]
[ROW][C]198[/C][C]18.1875[/C][C]23.7915594182633[/C][C]-5.60405941826327[/C][/ROW]
[ROW][C]199[/C][C]27.67861111[/C][C]29.427477593346[/C][C]-1.74886648334601[/C][/ROW]
[ROW][C]200[/C][C]19.99027778[/C][C]31.5742297161994[/C][C]-11.5839519361994[/C][/ROW]
[ROW][C]201[/C][C]21.46444444[/C][C]23.2664246682652[/C][C]-1.8019802282652[/C][/ROW]
[ROW][C]202[/C][C]13.69138889[/C][C]24.0038543551658[/C][C]-10.3124654651658[/C][/ROW]
[ROW][C]203[/C][C]37.53638889[/C][C]26.9731264156004[/C][C]10.5632624743996[/C][/ROW]
[ROW][C]204[/C][C]30.12388889[/C][C]22.0149845192859[/C][C]8.10890437071406[/C][/ROW]
[ROW][C]205[/C][C]24.92944444[/C][C]25.2672893422534[/C][C]-0.337844902253405[/C][/ROW]
[ROW][C]206[/C][C]12.30444444[/C][C]18.8965943890479[/C][C]-6.59214994904785[/C][/ROW]
[ROW][C]207[/C][C]21.56888889[/C][C]23.5956721225438[/C][C]-2.02678323254382[/C][/ROW]
[ROW][C]208[/C][C]50.42444444[/C][C]27.0266276394489[/C][C]23.3978168005511[/C][/ROW]
[ROW][C]209[/C][C]37.2275[/C][C]27.4889051181917[/C][C]9.73859488180829[/C][/ROW]
[ROW][C]210[/C][C]34.46222222[/C][C]31.4996951011916[/C][C]2.96252711880837[/C][/ROW]
[ROW][C]211[/C][C]25.73055556[/C][C]18.7419112893543[/C][C]6.9886442706457[/C][/ROW]
[ROW][C]212[/C][C]33.84666667[/C][C]27.1047009275174[/C][C]6.74196574248261[/C][/ROW]
[ROW][C]213[/C][C]14.69861111[/C][C]22.1334040929306[/C][C]-7.43479298293063[/C][/ROW]
[ROW][C]214[/C][C]22.74222222[/C][C]23.0085463579558[/C][C]-0.266324137955838[/C][/ROW]
[ROW][C]215[/C][C]16.38361111[/C][C]18.6348972073885[/C][C]-2.25128609738852[/C][/ROW]
[ROW][C]216[/C][C]14.86527778[/C][C]19.4509721226575[/C][C]-4.58569434265746[/C][/ROW]
[ROW][C]217[/C][C]16.89222222[/C][C]20.0065215906999[/C][C]-3.11429937069991[/C][/ROW]
[ROW][C]218[/C][C]15.65972222[/C][C]16.1778988927258[/C][C]-0.518176672725826[/C][/ROW]
[ROW][C]219[/C][C]18.19166667[/C][C]24.3971297191148[/C][C]-6.2054630491148[/C][/ROW]
[ROW][C]220[/C][C]22.48583333[/C][C]16.4670849355604[/C][C]6.01874839443959[/C][/ROW]
[ROW][C]221[/C][C]21.195[/C][C]26.7213745372298[/C][C]-5.52637453722982[/C][/ROW]
[ROW][C]222[/C][C]28.89194444[/C][C]27.3883208444442[/C][C]1.50362359555585[/C][/ROW]
[ROW][C]223[/C][C]27.25111111[/C][C]34.7335716980074[/C][C]-7.48246058800737[/C][/ROW]
[ROW][C]224[/C][C]18.88583333[/C][C]23.3503489563737[/C][C]-4.46451562637367[/C][/ROW]
[ROW][C]225[/C][C]8.608055556[/C][C]15.2945806609423[/C][C]-6.68652510494229[/C][/ROW]
[ROW][C]226[/C][C]37.62722222[/C][C]29.5222108670536[/C][C]8.10501135294641[/C][/ROW]
[ROW][C]227[/C][C]20.41777778[/C][C]17.3065402906795[/C][C]3.11123748932049[/C][/ROW]
[ROW][C]228[/C][C]17.53416667[/C][C]34.032985823671[/C][C]-16.498819153671[/C][/ROW]
[ROW][C]229[/C][C]17.015[/C][C]25.8719597607457[/C][C]-8.85695976074567[/C][/ROW]
[ROW][C]230[/C][C]20.80944444[/C][C]28.5488465910658[/C][C]-7.7394021510658[/C][/ROW]
[ROW][C]231[/C][C]8.826111111[/C][C]13.3776402750626[/C][C]-4.55152916406256[/C][/ROW]
[ROW][C]232[/C][C]22.62138889[/C][C]24.7456596396222[/C][C]-2.12427074962217[/C][/ROW]
[ROW][C]233[/C][C]24.21833333[/C][C]25.0520822842386[/C][C]-0.83374895423859[/C][/ROW]
[ROW][C]234[/C][C]13.91388889[/C][C]20.133132345197[/C][C]-6.21924345519701[/C][/ROW]
[ROW][C]235[/C][C]18.2625[/C][C]28.6400621776674[/C][C]-10.3775621776674[/C][/ROW]
[ROW][C]236[/C][C]15.73694444[/C][C]26.6620223133414[/C][C]-10.9250778733414[/C][/ROW]
[ROW][C]237[/C][C]43.99972222[/C][C]23.5942097421181[/C][C]20.4055124778819[/C][/ROW]
[ROW][C]238[/C][C]12.90416667[/C][C]22.8366092503509[/C][C]-9.93244258035086[/C][/ROW]
[ROW][C]239[/C][C]20.45111111[/C][C]24.4749018229393[/C][C]-4.02379071293932[/C][/ROW]
[ROW][C]240[/C][C]10.66527778[/C][C]20.9451035149838[/C][C]-10.2798257349838[/C][/ROW]
[ROW][C]241[/C][C]25.5275[/C][C]22.2579606367652[/C][C]3.26953936323481[/C][/ROW]
[ROW][C]242[/C][C]38.75722222[/C][C]33.7882461415221[/C][C]4.96897607847791[/C][/ROW]
[ROW][C]243[/C][C]14.49[/C][C]24.2216886601607[/C][C]-9.73168866016074[/C][/ROW]
[ROW][C]244[/C][C]14.32416667[/C][C]20.3907257813742[/C][C]-6.06655911137422[/C][/ROW]
[ROW][C]245[/C][C]19.5975[/C][C]23.6614530586327[/C][C]-4.06395305863272[/C][/ROW]
[ROW][C]246[/C][C]23.57111111[/C][C]25.3316147657951[/C][C]-1.76050365579506[/C][/ROW]
[ROW][C]247[/C][C]28.48277778[/C][C]30.2105196035044[/C][C]-1.72774182350442[/C][/ROW]
[ROW][C]248[/C][C]24.07722222[/C][C]17.7316894650453[/C][C]6.34553275495469[/C][/ROW]
[ROW][C]249[/C][C]23.80805556[/C][C]19.8576883950286[/C][C]3.95036716497142[/C][/ROW]
[ROW][C]250[/C][C]9.628333333[/C][C]16.15011828954[/C][C]-6.52178495653998[/C][/ROW]
[ROW][C]251[/C][C]41.82777778[/C][C]28.2102467597531[/C][C]13.6175310202469[/C][/ROW]
[ROW][C]252[/C][C]27.66972222[/C][C]31.9903251234201[/C][C]-4.32060290342009[/C][/ROW]
[ROW][C]253[/C][C]5.374722222[/C][C]9.15895771053124[/C][C]-3.78423548853124[/C][/ROW]
[ROW][C]254[/C][C]27.60361111[/C][C]20.2255243420744[/C][C]7.37808676792559[/C][/ROW]
[ROW][C]255[/C][C]23.95277778[/C][C]21.6585551599368[/C][C]2.29422262006324[/C][/ROW]
[ROW][C]256[/C][C]8.565833333[/C][C]8.92709066687733[/C][C]-0.361257333877334[/C][/ROW]
[ROW][C]257[/C][C]8.807222222[/C][C]18.7129658196141[/C][C]-9.90574359761406[/C][/ROW]
[ROW][C]258[/C][C]24.94611111[/C][C]21.7527107214838[/C][C]3.19340038851616[/C][/ROW]
[ROW][C]259[/C][C]17.24666667[/C][C]17.1799436542587[/C][C]0.0667230157412537[/C][/ROW]
[ROW][C]260[/C][C]11.15305556[/C][C]14.3173939337793[/C][C]-3.16433837377932[/C][/ROW]
[ROW][C]261[/C][C]7.676111111[/C][C]14.1770494328317[/C][C]-6.50093832183171[/C][/ROW]
[ROW][C]262[/C][C]21.38611111[/C][C]28.3348101714661[/C][C]-6.94869906146607[/C][/ROW]
[ROW][C]263[/C][C]10.40555556[/C][C]9.54287593105565[/C][C]0.862679628944352[/C][/ROW]
[ROW][C]264[/C][C]15.04361111[/C][C]25.8336619139713[/C][C]-10.7900508039713[/C][/ROW]
[ROW][C]265[/C][C]13.85055556[/C][C]19.7737698787808[/C][C]-5.92321431878081[/C][/ROW]
[ROW][C]266[/C][C]23.42694444[/C][C]26.4114353015252[/C][C]-2.98449086152516[/C][/ROW]
[ROW][C]267[/C][C]17.82638889[/C][C]28.083636005256[/C][C]-10.257247115256[/C][/ROW]
[ROW][C]268[/C][C]16.495[/C][C]23.3319207302219[/C][C]-6.83692073022195[/C][/ROW]
[ROW][C]269[/C][C]33.14111111[/C][C]24.8956566058301[/C][C]8.24545450416985[/C][/ROW]
[ROW][C]270[/C][C]21.30611111[/C][C]30.2561297347267[/C][C]-8.9500186247267[/C][/ROW]
[ROW][C]271[/C][C]28.72916667[/C][C]25.9006123924576[/C][C]2.82855427754245[/C][/ROW]
[ROW][C]272[/C][C]19.54[/C][C]20.0793299371046[/C][C]-0.539329937104578[/C][/ROW]
[ROW][C]273[/C][C]12.05833333[/C][C]6.07682643049906[/C][C]5.98150689950094[/C][/ROW]
[ROW][C]274[/C][C]29.12166667[/C][C]29.4555604767936[/C][C]-0.333893806793586[/C][/ROW]
[ROW][C]275[/C][C]17.28194444[/C][C]18.2696942791835[/C][C]-0.98774983918348[/C][/ROW]
[ROW][C]276[/C][C]19.25111111[/C][C]26.1971186836362[/C][C]-6.94600757363624[/C][/ROW]
[ROW][C]277[/C][C]14.75472222[/C][C]11.7732663718676[/C][C]2.98145584813243[/C][/ROW]
[ROW][C]278[/C][C]5.49[/C][C]8.51656715742512[/C][C]-3.02656715742512[/C][/ROW]
[ROW][C]279[/C][C]24.07777778[/C][C]25.6892147635593[/C][C]-1.61143698355932[/C][/ROW]
[ROW][C]280[/C][C]23.3625[/C][C]21.7284303992744[/C][C]1.6340696007256[/C][/ROW]
[ROW][C]281[/C][C]21.65138889[/C][C]25.2769429035315[/C][C]-3.62555401353151[/C][/ROW]
[ROW][C]282[/C][C]24.75361111[/C][C]18.856242331611[/C][C]5.89736877838904[/C][/ROW]
[ROW][C]283[/C][C]25.27916667[/C][C]21.0179129574062[/C][C]4.26125371259375[/C][/ROW]
[ROW][C]284[/C][C]11.18[/C][C]8.65750348860957[/C][C]2.52249651139043[/C][/ROW]
[ROW][C]285[/C][C]17.82972222[/C][C]16.9065539147529[/C][C]0.923168305247149[/C][/ROW]
[ROW][C]286[/C][C]14.12694444[/C][C]21.6222963097309[/C][C]-7.49535186973086[/C][/ROW]
[ROW][C]287[/C][C]15.72583333[/C][C]16.0504186840576[/C][C]-0.324585354057616[/C][/ROW]
[ROW][C]288[/C][C]17.44222222[/C][C]28.1651980305795[/C][C]-10.7229758105795[/C][/ROW]
[ROW][C]289[/C][C]20.14861111[/C][C]21.7635280532986[/C][C]-1.6149169432986[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197679&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197679&T=4

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


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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
158.5852777857.34240345832161.24287432167835
233.6061111146.8083048471793-13.2021937371793
349.0351.681071618681-2.651071618681
449.8113888963.5835944203846-13.7722055303846
534.2180555635.525381505161-1.30732594516095
614.6516666723.9465342599674-9.29486758996743
7107.092777866.448479645833540.6442981541665
89.21388888914.8349351050225-5.62104621602252
928.2347222218.214429490665310.0202927293346
1041.4058333339.28585990824342.11997342175658
1145.9572222244.20424844523631.75297377476368
1265.892560.75408228085875.13841771914131
1348.1461111159.6839468306126-11.5378357206126
1436.9808333338.5192139955467-1.53838066554672
1571.9091666767.00461617772244.90455049227762
1650.0230555648.21210422515151.81095133484854
1790.2219444485.91499574412274.30694869587729
1864.1566666763.89702926122270.25963740877728
1965.7736111150.573486789876915.2001243201231
2037.6313888955.0637793096801-17.4323904196801
2156.3680555673.3510591354186-16.9830035754186
2259.7630555663.1493892868383-3.38633372683826
2395.6380555654.707647464202240.9304080957978
2442.7597222239.56306165122083.19666056877917
2536.9286111159.7280804633329-22.7994693533329
2648.5344444467.7940963423147-19.2596519023147
2748.4486111149.8088741018879-1.36026299188793
2862.6522222255.85676552710946.79545669289057
2962.1262.1517494550314-0.0317494550314527
3034.6713888936.8633873073051-2.19199841730511
3161.5827777861.907888669287-0.325110889286999
3258.5463888961.1324517816049-2.58606289160486
3347.2961111156.1006089067243-8.80449779672432
3472.3780555670.88032082957781.49773473042218
3523.5702777832.741210932837-9.17093315283697
3681.7844444473.00601537781148.77842906218865
3728.0586111123.26789649092434.79071461907572
3859.9002777846.165936376045713.7343414039543
3990.307556.634256625454133.6732433745459
401.9933333333.82889133578286-1.83555800278286
4146.5394444444.21213844184472.32730599815525
4229.5577777824.53308450443045.0246932755696
4326.8222222229.0216413133971-2.19941909339712
4473.8247222261.604377049765112.2203451702349
4574.9030555658.326343259919416.5767123000806
4641.4246.9398945731903-5.51989457319029
4748.8438.415123668962110.4248763310379
4842.4641666743.2428569253843-0.778690255384288
4931.0180555636.3967201129303-5.37866455293028
5032.3355555638.9189285193998-6.58337295939982
51100.639166749.193395793814351.4457709061857
5221.8888888925.6962410778573-3.80735218785734
5350.8797222263.0224856943128-12.1427634743128
5477.212572.49461905010674.71788094989326
5541.8413888957.609966854115-15.768577964115
5646.8913888950.9196791039267-4.02829021392673
576.7188888898.79229707774345-2.07340818874345
5891.4630555664.990589697583526.4724658624165
5918.0636111121.4243479354704-3.36073682547042
6028.082523.05941565898125.02308434101875
6160.8183333352.82930610934087.9890272206592
6267.7922222270.4221307862053-2.62990856620531
6394.8805555657.73598944874837.144566111252
6428.7769444422.3047482742816.47219616571899
6564.8133333370.9492588904896-6.13592556048959
6671.2394444478.9977794282221-7.75833498822205
6757.2669444446.519442070561210.7475023694388
6886.5202777873.357189860880913.1630879191191
6965.568.454288569624-2.95428856962398
7049.427545.63670045492043.79079954507958
7157.5488888949.39483290532978.15405598467026
7254.5980555643.371190278111811.2268652818882
7348.3844444447.52643794977480.858006490225193
7439.7905555649.993652323782-10.203096763782
7552.0997222255.7307466028492-3.63102438284917
7652.1336111164.3549275625846-12.2213164525846
7733.0654.3325365287751-21.272536528775
7850.6088888955.6158436202927-5.0069547302927
7920.43525.3851312037376-4.95013120373759
8054.1608333352.50388220225511.6569511277449
8146.5244444450.080786246874-3.55634180687404
8239.9322222262.8868237470256-22.9546015270256
8376.5391666762.901742249967513.6374244200325
8467.5552777858.40615116280669.14912661719343
8550.8330555647.15482619930633.67822936069367
8637.6802777856.3319225122257-18.6516447322257
8742.3052777847.1334637700698-4.82818599006984
8833.3947222235.3207126766894-1.92599045668944
8996.2458333368.406370787265427.8394625427346
9040.4972222230.204089795286210.2931324247138
9153.7052777866.2236237023836-12.5183459223836
9222.4869444427.3921187298393-4.90517428983933
9334.1038888926.26816346537127.83572542462877
9436.2736111147.2337468595734-10.9601357495734
9531.2808333331.728051325618-0.447217995617999
9679.5744444443.200756517371836.3736879226282
9766.9627777854.059150369094412.9036274109056
9841.23576.2916737977509-35.0566737977509
9956.8647222247.667380052829.19734216718003
10050.577577.5825850062746-27.0050850062746
10138.9844444434.20345688047764.78098755952237
10261.2544444456.59829061327664.65615382672345
10367.5166666750.309728529676617.2069381403234
10445.212547.7153162467784-2.50281624677835
10550.7258333358.7675374116971-8.04170408169714
10664.4827777875.873520509495-11.390742729495
10773.6994444478.8422430939218-5.14279865392176
10823.7705555629.9868437407029-6.21628818070293
10986.3441666782.67021567963763.67395099036242
11062.5166666759.19739589753883.31927077246121
11164.532572.767701833508-8.23520183350796
11240.2683333337.83472303442812.43361029557188
11312.0241666723.987173383572-11.963006713572
11443.26541.30369261999311.96130738000686
11545.752562.6607609651116-16.9082609651116
11656.0944444458.0702122041678-1.97576776416785
11765.4038888972.2154109307845-6.81152204078453
11861.3336111135.679476444990325.6541346650097
11927.6294444430.7587534990457-3.12930905904571
12025.7391666727.5000210598955-1.76085438989551
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12217.0447222220.4495013891199-3.40477916911989
12334.9805555630.59647104873664.38408451126341
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12562.3747222247.189591144880615.1851310751194
12622.8655555618.79980800069554.06574755930452
12728.3361111120.84131070227057.49480040772952
12828.2008333339.8984366334559-11.6976033034559
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1306.3716666678.5329411729143-2.1612745059143
13111.546111119.15369854072812.3924125692719
13242.3538888958.9105511315344-16.5566622415344
13317.182520.0538895147312-2.87138951473117
13427.7563888932.4757122859573-4.71932339595725
13536.8019444463.9195852660332-27.1176408260332
13688.16573.749263062208914.4157369377911
1375.8483333335.254608773179540.593724559820459
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1396.29111111117.2822751825642-10.9911640715642
1408.72611111117.5688140884816-8.8427029774816
14112.9716666716.1208868496498-3.14922017964984
14236.5827777838.3130686685732-1.73029088857317
14325.4819444417.76940959965927.71253484034083
14467.9858333359.65674393958738.32908939041275
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14622.1841666725.8485793208955-3.6644126508955
14735.6730555637.5095850974923-1.83652953749232
14827.177533.7429266562927-6.56542665629267
14910.61514.0252899979718-3.4102899979718
15041.972541.93176227225490.0407377277451351
15175.6827777868.1946640102277.48811376977296
15247.91560.9245432722811-13.0095432722811
15330.0119444427.31464413988612.69730030011388
15491.1408333378.383176346180212.7576569838198
15569.6052777874.2881829728004-4.68290519280039
15697.5186111191.21256166595836.30604944404173
15743.8930555645.2232438384012-1.33018827840118
15827.4627777823.41144953083774.05132824916231
15923.7330555631.9055371530012-8.17248159300121
16063.6783333349.293380273428814.3849530565712
16197.6719444470.902222578890526.7697218611095
16223.3908333325.4000486106618-2.00921528066178
16333.4569444430.82717689620882.62976754379122
16490.1661111167.975369516841922.1907415931581
16536.4080555640.3972636083975-3.98920804839751
16656.7419444459.919008295156-3.17706385515597
16745.9841666753.3579480081937-7.37378133819372
16839.3672222235.88239005500783.48483216499218
16932.2355555635.1499462074996-2.91439064749955
17069.457531.980389262364837.4771107376352
17183.2708333355.807358606509727.4634747234903
17254.3994444472.6539474073941-18.254502967394
17348.1277777827.124892718338821.0028850616612
17470.6911111172.2291356173211-1.53802450732111
17528.9969444468.7756854248488-39.7787409848488
17637.8011111122.506785179929515.2943259300705
17755.4158.4479656006692-3.03796560066916
17825.6941666722.31089101633163.38327565366841
17962.3138888978.306555996304-15.992667106304
18037.7169444426.749743390827310.9672010491727
18120.6688888919.2974596613791.371429228621
18222.5666666727.9848316062899-5.41816493628991
1834.085.38940236231342-1.30940236231342
18450.4536111144.03669051501226.41692059498776
18575.5155555669.12359346925066.3919620907494
1861.9997222226.18910326209318-4.18938104009318
18712.9611111111.04929280748321.91181830251683
1884.8741666674.794963217259770.0792034497402274
18937.0466666728.95643122159038.09023544840972
19026.4519444433.1037830342367-6.65183859423672
19142.3891666736.75402836868395.63513830131606
19227.2627777821.32991007414615.93286770585388
19322.1163888925.1123202724099-2.99593138240995
19416.4427777821.5568002477741-5.11402246777412
19538.8727777841.7747415661038-2.9019637861038
19632.9477777835.4391112643793-2.49133348437934
19720.2444444422.0006589425986-1.75621450259859
19818.187523.7915594182633-5.60405941826327
19927.6786111129.427477593346-1.74886648334601
20019.9902777831.5742297161994-11.5839519361994
20121.4644444423.2664246682652-1.8019802282652
20213.6913888924.0038543551658-10.3124654651658
20337.5363888926.973126415600410.5632624743996
20430.1238888922.01498451928598.10890437071406
20524.9294444425.2672893422534-0.337844902253405
20612.3044444418.8965943890479-6.59214994904785
20721.5688888923.5956721225438-2.02678323254382
20850.4244444427.026627639448923.3978168005511
20937.227527.48890511819179.73859488180829
21034.4622222231.49969510119162.96252711880837
21125.7305555618.74191128935436.9886442706457
21233.8466666727.10470092751746.74196574248261
21314.6986111122.1334040929306-7.43479298293063
21422.7422222223.0085463579558-0.266324137955838
21516.3836111118.6348972073885-2.25128609738852
21614.8652777819.4509721226575-4.58569434265746
21716.8922222220.0065215906999-3.11429937069991
21815.6597222216.1778988927258-0.518176672725826
21918.1916666724.3971297191148-6.2054630491148
22022.4858333316.46708493556046.01874839443959
22121.19526.7213745372298-5.52637453722982
22228.8919444427.38832084444421.50362359555585
22327.2511111134.7335716980074-7.48246058800737
22418.8858333323.3503489563737-4.46451562637367
2258.60805555615.2945806609423-6.68652510494229
22637.6272222229.52221086705368.10501135294641
22720.4177777817.30654029067953.11123748932049
22817.5341666734.032985823671-16.498819153671
22917.01525.8719597607457-8.85695976074567
23020.8094444428.5488465910658-7.7394021510658
2318.82611111113.3776402750626-4.55152916406256
23222.6213888924.7456596396222-2.12427074962217
23324.2183333325.0520822842386-0.83374895423859
23413.9138888920.133132345197-6.21924345519701
23518.262528.6400621776674-10.3775621776674
23615.7369444426.6620223133414-10.9250778733414
23743.9997222223.594209742118120.4055124778819
23812.9041666722.8366092503509-9.93244258035086
23920.4511111124.4749018229393-4.02379071293932
24010.6652777820.9451035149838-10.2798257349838
24125.527522.25796063676523.26953936323481
24238.7572222233.78824614152214.96897607847791
24314.4924.2216886601607-9.73168866016074
24414.3241666720.3907257813742-6.06655911137422
24519.597523.6614530586327-4.06395305863272
24623.5711111125.3316147657951-1.76050365579506
24728.4827777830.2105196035044-1.72774182350442
24824.0772222217.73168946504536.34553275495469
24923.8080555619.85768839502863.95036716497142
2509.62833333316.15011828954-6.52178495653998
25141.8277777828.210246759753113.6175310202469
25227.6697222231.9903251234201-4.32060290342009
2535.3747222229.15895771053124-3.78423548853124
25427.6036111120.22552434207447.37808676792559
25523.9527777821.65855515993682.29422262006324
2568.5658333338.92709066687733-0.361257333877334
2578.80722222218.7129658196141-9.90574359761406
25824.9461111121.75271072148383.19340038851616
25917.2466666717.17994365425870.0667230157412537
26011.1530555614.3173939337793-3.16433837377932
2617.67611111114.1770494328317-6.50093832183171
26221.3861111128.3348101714661-6.94869906146607
26310.405555569.542875931055650.862679628944352
26415.0436111125.8336619139713-10.7900508039713
26513.8505555619.7737698787808-5.92321431878081
26623.4269444426.4114353015252-2.98449086152516
26717.8263888928.083636005256-10.257247115256
26816.49523.3319207302219-6.83692073022195
26933.1411111124.89565660583018.24545450416985
27021.3061111130.2561297347267-8.9500186247267
27128.7291666725.90061239245762.82855427754245
27219.5420.0793299371046-0.539329937104578
27312.058333336.076826430499065.98150689950094
27429.1216666729.4555604767936-0.333893806793586
27517.2819444418.2696942791835-0.98774983918348
27619.2511111126.1971186836362-6.94600757363624
27714.7547222211.77326637186762.98145584813243
2785.498.51656715742512-3.02656715742512
27924.0777777825.6892147635593-1.61143698355932
28023.362521.72843039927441.6340696007256
28121.6513888925.2769429035315-3.62555401353151
28224.7536111118.8562423316115.89736877838904
28325.2791666721.01791295740624.26125371259375
28411.188.657503488609572.52249651139043
28517.8297222216.90655391475290.923168305247149
28614.1269444421.6222963097309-7.49535186973086
28715.7258333316.0504186840576-0.324585354057616
28817.4422222228.1651980305795-10.7229758105795
28920.1486111121.7635280532986-1.6149169432986






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.9675373346326410.0649253307347170.0324626653673585
90.9403818366423980.1192363267152040.0596181633576019
100.9016625174715150.196674965056970.0983374825284849
110.8418442070629170.3163115858741660.158155792937083
120.7881175921068870.4237648157862260.211882407893113
130.7080062222183650.5839875555632710.291993777781635
140.6606809054900110.6786381890199770.339319094509989
150.6412276134188720.7175447731622550.358772386581128
160.588749798318460.8225004033630790.41125020168154
170.5065477755283970.9869044489432060.493452224471603
180.4615102164506750.9230204329013510.538489783549325
190.5175622502932120.9648754994135750.482437749706787
200.6880283931938660.6239432136122680.311971606806134
210.6315355199150790.7369289601698430.368464480084921
220.6081988568084830.7836022863830350.391801143191517
230.9576067662159830.08478646756803370.0423932337840168
240.9437780847674290.1124438304651410.0562219152325707
250.9602411835546120.07951763289077660.0397588164453883
260.9858589638334860.02828207233302850.0141410361665143
270.9798499920346210.04030001593075820.0201500079653791
280.9757280588428320.04854388231433580.0242719411571679
290.9663109291376370.0673781417247260.033689070862363
300.9547570793840710.09048584123185730.0452429206159286
310.9408093741876980.1183812516246030.0591906258123016
320.9231169939140090.1537660121719830.0768830060859913
330.9141310478510890.1717379042978230.0858689521489115
340.892131453444880.215737093110240.10786854655512
350.8708780900165840.2582438199668320.129121909983416
360.8770404123951190.2459191752097620.122959587604881
370.8503743485147360.2992513029705270.149625651485264
380.8642250780198310.2715498439603390.135774921980169
390.9800017995028050.03999640099439090.0199982004971955
400.9761094866937710.04778102661245850.0238905133062293
410.9685430354008180.06291392919836380.0314569645991819
420.9594514279703780.08109714405924390.0405485720296219
430.9504225576055160.09915488478896830.0495774423944842
440.9486484464378440.1027031071243130.0513515535621564
450.9461990127832850.107601974433430.053800987216715
460.9335690434260250.132861913147950.0664309565739751
470.9274607819704760.1450784360590470.0725392180295236
480.9103216526090540.1793566947818920.0896783473909459
490.8920286450008040.2159427099983930.107971354999196
500.8728929979809130.2542140040381750.127107002019087
510.9980198570144430.003960285971113520.00198014298555676
520.9972822441010350.005435511797929250.00271775589896462
530.9975210195260980.004957960947803240.00247898047390162
540.9966477650251540.00670446994969150.00335223497484575
550.9974678454013880.005064309197223650.00253215459861182
560.9967529608897350.006494078220529530.00324703911026476
570.9959258486843220.008148302631356710.00407415131567836
580.9991765468000830.001646906399833030.000823453199916515
590.9988728072157270.002254385568546010.00112719278427301
600.9984699753245180.003060049350964670.00153002467548233
610.998080187973290.003839624053420730.00191981202671037
620.9974099811361170.005180037727765180.00259001886388259
630.9997182976039630.0005634047920742260.000281702396037113
640.9996212314577180.0007575370845648810.000378768542282441
650.9995320941176750.0009358117646502220.000467905882325111
660.9995250740417550.0009498519164903090.000474925958245154
670.9994426567516220.00111468649675650.000557343248378249
680.9993987498799560.00120250024008780.000601250120043898
690.999243874534950.001512250930100040.00075612546505002
700.9990049074226740.001990185154652030.000995092577326015
710.9988825293008170.002234941398365570.00111747069918279
720.9989220473744270.002155905251145940.00107795262557297
730.9985563779398650.002887244120270630.00144362206013531
740.9984956046456650.003008790708670960.00150439535433548
750.9980179356606230.003964128678753560.00198206433937678
760.9984857254106460.003028549178707120.00151427458935356
770.9995291421235850.0009417157528298040.000470857876414902
780.9993811549954050.001237690009190540.000618845004595272
790.9991982604244650.001603479151069090.000801739575534543
800.9989140411373330.002171917725334590.00108595886266729
810.9985808905313930.002838218937213810.00141910946860691
820.9994244843251860.001151031349627060.000575515674813529
830.9994553098274010.001089380345198290.000544690172599144
840.999366593763480.001266812473040660.000633406236520332
850.9991572874735110.001685425052978680.00084271252648934
860.999504178855970.0009916422880609490.000495821144030475
870.9993529307256360.001294138548728270.000647069274364135
880.9991333598134960.001733280373007430.000866640186503716
890.9997900185567470.0004199628865058290.000209981443252915
900.9997707223825560.000458555234887510.000229277617443755
910.9997816747378090.0004366505243812410.00021832526219062
920.9997253673735330.0005492652529340220.000274632626467011
930.9996667224695480.000666555060904930.000333277530452465
940.9996536742778160.0006926514443687920.000346325722184396
950.9995258987523320.000948202495335370.000474101247667685
960.9999732012175295.35975649423067e-052.67987824711533e-05
970.9999759192386944.81615226126636e-052.40807613063318e-05
980.9999989410060762.11798784749868e-061.05899392374934e-06
990.9999987701873982.45962520453261e-061.22981260226631e-06
1000.9999998077597923.84480415526682e-071.92240207763341e-07
1010.9999997178943365.64211327903327e-072.82105663951663e-07
1020.9999995975077238.04984554274253e-074.02492277137127e-07
1030.9999997655349964.68930006952103e-072.34465003476052e-07
1040.999999641347327.17305360309099e-073.5865268015455e-07
1050.9999995439240999.12151801904449e-074.56075900952224e-07
1060.9999995156543899.6869122270542e-074.8434561135271e-07
1070.9999992981801691.40363966172676e-067.01819830863378e-07
1080.9999990801473871.83970522547698e-069.19852612738489e-07
1090.999998684066182.63186763931441e-061.3159338196572e-06
1100.9999981355420173.72891596662936e-061.86445798331468e-06
1110.9999976944245574.61115088619376e-062.30557544309688e-06
1120.9999966565051776.68698964537526e-063.34349482268763e-06
1130.9999969151753246.16964935246146e-063.08482467623073e-06
1140.9999954518324569.09633508856535e-064.54816754428268e-06
1150.9999974717839365.05643212746681e-062.5282160637334e-06
1160.9999962762035627.44759287602294e-063.72379643801147e-06
1170.9999950502659039.89946819404715e-064.94973409702357e-06
1180.9999989734488242.05310235132651e-061.02655117566325e-06
1190.999998516118282.96776344042627e-061.48388172021313e-06
1200.9999978113509664.3772980675865e-062.18864903379325e-06
1210.9999967340544486.53189110426392e-063.26594555213196e-06
1220.9999954226973289.15460534446738e-064.57730267223369e-06
1230.9999934604471161.30791057679731e-056.53955288398657e-06
1240.9999964086093057.18278138938917e-063.59139069469458e-06
1250.9999973132504655.37349907080821e-062.6867495354041e-06
1260.9999961486139817.70277203831587e-063.85138601915794e-06
1270.9999951181646489.76367070403631e-064.88183535201816e-06
1280.9999953790279779.24194404609716e-064.62097202304858e-06
1290.9999938550732581.22898534839131e-056.14492674195655e-06
1300.9999912811281741.74377436527155e-058.71887182635775e-06
1310.9999874908456452.50183087102062e-051.25091543551031e-05
1320.9999917713325431.64573349131793e-058.22866745658963e-06
1330.9999884957917042.30084165912908e-051.15042082956454e-05
1340.999984325871613.13482567791287e-051.56741283895644e-05
1350.9999988336064442.33278711265195e-061.16639355632598e-06
1360.9999991202731221.75945375634693e-068.79726878173467e-07
1370.9999986673318422.66533631624649e-061.33266815812324e-06
1380.9999988049823222.39003535526824e-061.19501767763412e-06
1390.9999988169085322.36618293549387e-061.18309146774694e-06
1400.9999986186167342.76276653166065e-061.38138326583032e-06
1410.9999979755089474.04898210536654e-062.02449105268327e-06
1420.9999969787530636.04249387295584e-063.02124693647792e-06
1430.9999963560158037.2879683937635e-063.64398419688175e-06
1440.9999953854568449.22908631230926e-064.61454315615463e-06
1450.9999932032911821.35934176349862e-056.79670881749312e-06
1460.99999031969251.93606149991687e-059.68030749958434e-06
1470.999985955181852.80896363001291e-051.40448181500646e-05
1480.9999818109003243.63781993515585e-051.81890996757793e-05
1490.999974592911715.08141765808474e-052.54070882904237e-05
1500.9999637369103967.25261792077654e-053.62630896038827e-05
1510.9999591033585558.17932828907168e-054.08966414453584e-05
1520.9999784983812534.30032374948802e-052.15016187474401e-05
1530.9999697500984986.04998030038697e-053.02499015019349e-05
1540.999967990256066.40194878791492e-053.20097439395746e-05
1550.9999569849696048.6030060792988e-054.3015030396494e-05
1560.9999420018944060.0001159962111882135.79981055941067e-05
1570.9999178863456970.0001642273086056918.21136543028456e-05
1580.999890914405440.000218171189119640.00010908559455982
1590.9998670799140630.0002658401718731990.0001329200859366
1600.9998836870094980.0002326259810040690.000116312990502035
1610.9999849058537613.0188292478395e-051.50941462391975e-05
1620.9999780601431074.3879713785791e-052.19398568928955e-05
1630.9999683933435196.3213312961894e-053.1606656480947e-05
1640.9999954575546479.08489070515546e-064.54244535257773e-06
1650.9999933402565121.33194869765294e-056.65974348826469e-06
1660.9999906770823691.86458352628515e-059.32291763142573e-06
1670.9999870586417472.58827165068674e-051.29413582534337e-05
1680.9999817503978283.64992043448373e-051.82496021724186e-05
1690.9999736763647355.26472705308401e-052.632363526542e-05
1700.99999968120586.37588399834097e-073.18794199917049e-07
1710.9999999965474996.90500216075405e-093.45250108037702e-09
1720.9999999973634835.2730337372086e-092.6365168686043e-09
1730.999999999847623.04760028353473e-101.52380014176737e-10
1740.9999999998051153.8976999512648e-101.9488499756324e-10
1750.9999999999995139.7412490879364e-134.8706245439682e-13
1760.9999999999998782.43767012056539e-131.21883506028269e-13
1770.9999999999997584.8308128327361e-132.41540641636805e-13
1780.999999999999598.20560791165074e-134.10280395582537e-13
1790.9999999999998423.15384020219133e-131.57692010109567e-13
1800.9999999999998682.64019170321169e-131.32009585160585e-13
1810.999999999999745.20465017118459e-132.6023250855923e-13
1820.9999999999995948.11414571444112e-134.05707285722056e-13
1830.9999999999991991.60279177040704e-128.01395885203521e-13
1840.9999999999992341.53223411507913e-127.66117057539565e-13
1850.9999999999994511.09734712907797e-125.48673564538986e-13
1860.9999999999991331.73381970134038e-128.66909850670192e-13
1870.999999999998293.41985532594807e-121.70992766297403e-12
1880.9999999999966196.76152405284063e-123.38076202642032e-12
1890.9999999999971815.63848333820649e-122.81924166910324e-12
1900.999999999995249.52084182855431e-124.76042091427715e-12
1910.9999999999937491.25018147888873e-116.25090739444367e-12
1920.9999999999890122.19767260788608e-111.09883630394304e-11
1930.9999999999792154.15709431237015e-112.07854715618508e-11
1940.9999999999621737.5654376560008e-113.7827188280004e-11
1950.9999999999329541.34092630241137e-106.70463151205683e-11
1960.9999999998723262.55348788569662e-101.27674394284831e-10
1970.9999999997635084.7298473798295e-102.36492368991475e-10
1980.9999999996145237.70953561724477e-103.85476780862238e-10
1990.9999999992807741.43845289862347e-097.19226449311736e-10
2000.9999999992954621.40907507430614e-097.04537537153072e-10
2010.9999999986911672.61766681171526e-091.30883340585763e-09
2020.9999999984482713.10345857076924e-091.55172928538462e-09
2030.99999999876562.46879966840307e-091.23439983420153e-09
2040.9999999987703822.45923590748661e-091.22961795374331e-09
2050.9999999977530784.49384396407777e-092.24692198203888e-09
2060.9999999965843236.83135308649474e-093.41567654324737e-09
2070.9999999936862431.26275137006086e-086.31375685030429e-09
2080.9999999999260371.47926324512634e-107.3963162256317e-11
2090.9999999999634297.31410910605464e-113.65705455302732e-11
2100.9999999999493661.01268802303209e-105.06344011516044e-11
2110.9999999999449181.10164546033195e-105.50822730165977e-11
2120.9999999999585938.28149331571892e-114.14074665785946e-11
2130.9999999999383531.23294278682343e-106.16471393411715e-11
2140.9999999998798662.40267630371035e-101.20133815185518e-10
2150.9999999997599524.80096855560615e-102.40048427780308e-10
2160.9999999995788338.42333558352032e-104.21166779176016e-10
2170.9999999991611981.67760351177184e-098.3880175588592e-10
2180.9999999983202613.35947761507536e-091.67973880753768e-09
2190.9999999974763685.04726478172184e-092.52363239086092e-09
2200.9999999966300166.73996776040151e-093.36998388020076e-09
2210.9999999940368991.19262022745062e-085.96310113725312e-09
2220.9999999905707921.88584156315656e-089.42920781578279e-09
2230.9999999825944093.4811182221931e-081.74055911109655e-08
2240.9999999675031656.49936707211834e-083.24968353605917e-08
2250.9999999557403548.85192915024887e-084.42596457512444e-08
2260.9999999822151523.55696951072641e-081.7784847553632e-08
2270.9999999749462575.01074850868776e-082.50537425434388e-08
2280.9999999962405197.51896220135729e-093.75948110067864e-09
2290.9999999937296251.25407506252388e-086.27037531261941e-09
2300.9999999890708242.1858352722187e-081.09291763610935e-08
2310.9999999828780643.42438720289952e-081.71219360144976e-08
2320.9999999670178436.59643135761897e-083.29821567880949e-08
2330.9999999359321421.2813571563327e-076.4067857816635e-08
2340.9999999256827651.48634470282664e-077.43172351413318e-08
2350.9999999412870891.17425821508841e-075.87129107544206e-08
2360.9999999464208951.07158210022305e-075.35791050111523e-08
2370.9999999989322162.13556865881972e-091.06778432940986e-09
2380.9999999988846922.23061591952727e-091.11530795976364e-09
2390.9999999974636255.07275001125987e-092.53637500562994e-09
2400.9999999980531173.89376602591476e-091.94688301295738e-09
2410.9999999955199838.96003485101122e-094.48001742550561e-09
2420.9999999948584241.02831526032867e-085.14157630164336e-09
2430.9999999941243171.17513669320594e-085.87568346602971e-09
2440.9999999893438042.13123923065199e-081.06561961532599e-08
2450.9999999776166684.47666633266188e-082.23833316633094e-08
2460.9999999494761231.01047754006029e-075.05238770030144e-08
2470.9999999109597931.78080414321647e-078.90402071608235e-08
2480.9999998658717022.68256596880924e-071.34128298440462e-07
2490.9999997799900024.40019996647789e-072.20009998323894e-07
2500.9999996377210587.24557884381977e-073.62278942190989e-07
2510.9999999747824885.04350245881729e-082.52175122940864e-08
2520.9999999403139921.19372016309772e-075.96860081548862e-08
2530.9999998833624512.33275097200985e-071.16637548600493e-07
2540.9999999199833121.60033376637188e-078.00166883185941e-08
2550.9999998541240342.91751931736182e-071.45875965868091e-07
2560.9999996495291177.00941766958589e-073.50470883479295e-07
2570.9999997444505655.11098869192426e-072.55549434596213e-07
2580.9999995741037078.51792586381274e-074.25896293190637e-07
2590.9999989573628262.08527434812679e-061.04263717406339e-06
2600.999997823372024.35325596013871e-062.17662798006935e-06
2610.999998366475523.26704896075408e-061.63352448037704e-06
2620.9999963593043077.28139138553184e-063.64069569276592e-06
2630.9999911970066731.76059866535567e-058.80299332677833e-06
2640.9999930448866321.39102267364515e-056.95511336822574e-06
2650.999986194168892.76116622190815e-051.38058311095408e-05
2660.9999676467906776.47064186453823e-053.23532093226912e-05
2670.9999499675167620.0001000649664762525.00324832381258e-05
2680.999908177046890.0001836459062193569.18229531096779e-05
2690.9999813256070913.73487858172473e-051.86743929086236e-05
2700.9999585839002298.28321995429542e-054.14160997714771e-05
2710.9999414537044810.0001170925910372085.85462955186041e-05
2720.9998279649267330.0003440701465347350.000172035073267368
2730.9995437156562370.0009125686875268570.000456284343763428
2740.9989181266975740.002163746604851760.00108187330242588
2750.9970861153290530.005827769341893220.00291388467094661
2760.9977245693549390.004550861290122670.00227543064506134
2770.99438701817690.01122596364619940.00561298182309968
2780.9931068047527370.01378639049452630.00689319524726317
2790.9820039567873810.03599208642523780.0179960432126189
2800.9837489759917460.03250204801650750.0162510240082538
2810.9692938772800590.06141224543988280.0307061227199414

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
8 & 0.967537334632641 & 0.064925330734717 & 0.0324626653673585 \tabularnewline
9 & 0.940381836642398 & 0.119236326715204 & 0.0596181633576019 \tabularnewline
10 & 0.901662517471515 & 0.19667496505697 & 0.0983374825284849 \tabularnewline
11 & 0.841844207062917 & 0.316311585874166 & 0.158155792937083 \tabularnewline
12 & 0.788117592106887 & 0.423764815786226 & 0.211882407893113 \tabularnewline
13 & 0.708006222218365 & 0.583987555563271 & 0.291993777781635 \tabularnewline
14 & 0.660680905490011 & 0.678638189019977 & 0.339319094509989 \tabularnewline
15 & 0.641227613418872 & 0.717544773162255 & 0.358772386581128 \tabularnewline
16 & 0.58874979831846 & 0.822500403363079 & 0.41125020168154 \tabularnewline
17 & 0.506547775528397 & 0.986904448943206 & 0.493452224471603 \tabularnewline
18 & 0.461510216450675 & 0.923020432901351 & 0.538489783549325 \tabularnewline
19 & 0.517562250293212 & 0.964875499413575 & 0.482437749706787 \tabularnewline
20 & 0.688028393193866 & 0.623943213612268 & 0.311971606806134 \tabularnewline
21 & 0.631535519915079 & 0.736928960169843 & 0.368464480084921 \tabularnewline
22 & 0.608198856808483 & 0.783602286383035 & 0.391801143191517 \tabularnewline
23 & 0.957606766215983 & 0.0847864675680337 & 0.0423932337840168 \tabularnewline
24 & 0.943778084767429 & 0.112443830465141 & 0.0562219152325707 \tabularnewline
25 & 0.960241183554612 & 0.0795176328907766 & 0.0397588164453883 \tabularnewline
26 & 0.985858963833486 & 0.0282820723330285 & 0.0141410361665143 \tabularnewline
27 & 0.979849992034621 & 0.0403000159307582 & 0.0201500079653791 \tabularnewline
28 & 0.975728058842832 & 0.0485438823143358 & 0.0242719411571679 \tabularnewline
29 & 0.966310929137637 & 0.067378141724726 & 0.033689070862363 \tabularnewline
30 & 0.954757079384071 & 0.0904858412318573 & 0.0452429206159286 \tabularnewline
31 & 0.940809374187698 & 0.118381251624603 & 0.0591906258123016 \tabularnewline
32 & 0.923116993914009 & 0.153766012171983 & 0.0768830060859913 \tabularnewline
33 & 0.914131047851089 & 0.171737904297823 & 0.0858689521489115 \tabularnewline
34 & 0.89213145344488 & 0.21573709311024 & 0.10786854655512 \tabularnewline
35 & 0.870878090016584 & 0.258243819966832 & 0.129121909983416 \tabularnewline
36 & 0.877040412395119 & 0.245919175209762 & 0.122959587604881 \tabularnewline
37 & 0.850374348514736 & 0.299251302970527 & 0.149625651485264 \tabularnewline
38 & 0.864225078019831 & 0.271549843960339 & 0.135774921980169 \tabularnewline
39 & 0.980001799502805 & 0.0399964009943909 & 0.0199982004971955 \tabularnewline
40 & 0.976109486693771 & 0.0477810266124585 & 0.0238905133062293 \tabularnewline
41 & 0.968543035400818 & 0.0629139291983638 & 0.0314569645991819 \tabularnewline
42 & 0.959451427970378 & 0.0810971440592439 & 0.0405485720296219 \tabularnewline
43 & 0.950422557605516 & 0.0991548847889683 & 0.0495774423944842 \tabularnewline
44 & 0.948648446437844 & 0.102703107124313 & 0.0513515535621564 \tabularnewline
45 & 0.946199012783285 & 0.10760197443343 & 0.053800987216715 \tabularnewline
46 & 0.933569043426025 & 0.13286191314795 & 0.0664309565739751 \tabularnewline
47 & 0.927460781970476 & 0.145078436059047 & 0.0725392180295236 \tabularnewline
48 & 0.910321652609054 & 0.179356694781892 & 0.0896783473909459 \tabularnewline
49 & 0.892028645000804 & 0.215942709998393 & 0.107971354999196 \tabularnewline
50 & 0.872892997980913 & 0.254214004038175 & 0.127107002019087 \tabularnewline
51 & 0.998019857014443 & 0.00396028597111352 & 0.00198014298555676 \tabularnewline
52 & 0.997282244101035 & 0.00543551179792925 & 0.00271775589896462 \tabularnewline
53 & 0.997521019526098 & 0.00495796094780324 & 0.00247898047390162 \tabularnewline
54 & 0.996647765025154 & 0.0067044699496915 & 0.00335223497484575 \tabularnewline
55 & 0.997467845401388 & 0.00506430919722365 & 0.00253215459861182 \tabularnewline
56 & 0.996752960889735 & 0.00649407822052953 & 0.00324703911026476 \tabularnewline
57 & 0.995925848684322 & 0.00814830263135671 & 0.00407415131567836 \tabularnewline
58 & 0.999176546800083 & 0.00164690639983303 & 0.000823453199916515 \tabularnewline
59 & 0.998872807215727 & 0.00225438556854601 & 0.00112719278427301 \tabularnewline
60 & 0.998469975324518 & 0.00306004935096467 & 0.00153002467548233 \tabularnewline
61 & 0.99808018797329 & 0.00383962405342073 & 0.00191981202671037 \tabularnewline
62 & 0.997409981136117 & 0.00518003772776518 & 0.00259001886388259 \tabularnewline
63 & 0.999718297603963 & 0.000563404792074226 & 0.000281702396037113 \tabularnewline
64 & 0.999621231457718 & 0.000757537084564881 & 0.000378768542282441 \tabularnewline
65 & 0.999532094117675 & 0.000935811764650222 & 0.000467905882325111 \tabularnewline
66 & 0.999525074041755 & 0.000949851916490309 & 0.000474925958245154 \tabularnewline
67 & 0.999442656751622 & 0.0011146864967565 & 0.000557343248378249 \tabularnewline
68 & 0.999398749879956 & 0.0012025002400878 & 0.000601250120043898 \tabularnewline
69 & 0.99924387453495 & 0.00151225093010004 & 0.00075612546505002 \tabularnewline
70 & 0.999004907422674 & 0.00199018515465203 & 0.000995092577326015 \tabularnewline
71 & 0.998882529300817 & 0.00223494139836557 & 0.00111747069918279 \tabularnewline
72 & 0.998922047374427 & 0.00215590525114594 & 0.00107795262557297 \tabularnewline
73 & 0.998556377939865 & 0.00288724412027063 & 0.00144362206013531 \tabularnewline
74 & 0.998495604645665 & 0.00300879070867096 & 0.00150439535433548 \tabularnewline
75 & 0.998017935660623 & 0.00396412867875356 & 0.00198206433937678 \tabularnewline
76 & 0.998485725410646 & 0.00302854917870712 & 0.00151427458935356 \tabularnewline
77 & 0.999529142123585 & 0.000941715752829804 & 0.000470857876414902 \tabularnewline
78 & 0.999381154995405 & 0.00123769000919054 & 0.000618845004595272 \tabularnewline
79 & 0.999198260424465 & 0.00160347915106909 & 0.000801739575534543 \tabularnewline
80 & 0.998914041137333 & 0.00217191772533459 & 0.00108595886266729 \tabularnewline
81 & 0.998580890531393 & 0.00283821893721381 & 0.00141910946860691 \tabularnewline
82 & 0.999424484325186 & 0.00115103134962706 & 0.000575515674813529 \tabularnewline
83 & 0.999455309827401 & 0.00108938034519829 & 0.000544690172599144 \tabularnewline
84 & 0.99936659376348 & 0.00126681247304066 & 0.000633406236520332 \tabularnewline
85 & 0.999157287473511 & 0.00168542505297868 & 0.00084271252648934 \tabularnewline
86 & 0.99950417885597 & 0.000991642288060949 & 0.000495821144030475 \tabularnewline
87 & 0.999352930725636 & 0.00129413854872827 & 0.000647069274364135 \tabularnewline
88 & 0.999133359813496 & 0.00173328037300743 & 0.000866640186503716 \tabularnewline
89 & 0.999790018556747 & 0.000419962886505829 & 0.000209981443252915 \tabularnewline
90 & 0.999770722382556 & 0.00045855523488751 & 0.000229277617443755 \tabularnewline
91 & 0.999781674737809 & 0.000436650524381241 & 0.00021832526219062 \tabularnewline
92 & 0.999725367373533 & 0.000549265252934022 & 0.000274632626467011 \tabularnewline
93 & 0.999666722469548 & 0.00066655506090493 & 0.000333277530452465 \tabularnewline
94 & 0.999653674277816 & 0.000692651444368792 & 0.000346325722184396 \tabularnewline
95 & 0.999525898752332 & 0.00094820249533537 & 0.000474101247667685 \tabularnewline
96 & 0.999973201217529 & 5.35975649423067e-05 & 2.67987824711533e-05 \tabularnewline
97 & 0.999975919238694 & 4.81615226126636e-05 & 2.40807613063318e-05 \tabularnewline
98 & 0.999998941006076 & 2.11798784749868e-06 & 1.05899392374934e-06 \tabularnewline
99 & 0.999998770187398 & 2.45962520453261e-06 & 1.22981260226631e-06 \tabularnewline
100 & 0.999999807759792 & 3.84480415526682e-07 & 1.92240207763341e-07 \tabularnewline
101 & 0.999999717894336 & 5.64211327903327e-07 & 2.82105663951663e-07 \tabularnewline
102 & 0.999999597507723 & 8.04984554274253e-07 & 4.02492277137127e-07 \tabularnewline
103 & 0.999999765534996 & 4.68930006952103e-07 & 2.34465003476052e-07 \tabularnewline
104 & 0.99999964134732 & 7.17305360309099e-07 & 3.5865268015455e-07 \tabularnewline
105 & 0.999999543924099 & 9.12151801904449e-07 & 4.56075900952224e-07 \tabularnewline
106 & 0.999999515654389 & 9.6869122270542e-07 & 4.8434561135271e-07 \tabularnewline
107 & 0.999999298180169 & 1.40363966172676e-06 & 7.01819830863378e-07 \tabularnewline
108 & 0.999999080147387 & 1.83970522547698e-06 & 9.19852612738489e-07 \tabularnewline
109 & 0.99999868406618 & 2.63186763931441e-06 & 1.3159338196572e-06 \tabularnewline
110 & 0.999998135542017 & 3.72891596662936e-06 & 1.86445798331468e-06 \tabularnewline
111 & 0.999997694424557 & 4.61115088619376e-06 & 2.30557544309688e-06 \tabularnewline
112 & 0.999996656505177 & 6.68698964537526e-06 & 3.34349482268763e-06 \tabularnewline
113 & 0.999996915175324 & 6.16964935246146e-06 & 3.08482467623073e-06 \tabularnewline
114 & 0.999995451832456 & 9.09633508856535e-06 & 4.54816754428268e-06 \tabularnewline
115 & 0.999997471783936 & 5.05643212746681e-06 & 2.5282160637334e-06 \tabularnewline
116 & 0.999996276203562 & 7.44759287602294e-06 & 3.72379643801147e-06 \tabularnewline
117 & 0.999995050265903 & 9.89946819404715e-06 & 4.94973409702357e-06 \tabularnewline
118 & 0.999998973448824 & 2.05310235132651e-06 & 1.02655117566325e-06 \tabularnewline
119 & 0.99999851611828 & 2.96776344042627e-06 & 1.48388172021313e-06 \tabularnewline
120 & 0.999997811350966 & 4.3772980675865e-06 & 2.18864903379325e-06 \tabularnewline
121 & 0.999996734054448 & 6.53189110426392e-06 & 3.26594555213196e-06 \tabularnewline
122 & 0.999995422697328 & 9.15460534446738e-06 & 4.57730267223369e-06 \tabularnewline
123 & 0.999993460447116 & 1.30791057679731e-05 & 6.53955288398657e-06 \tabularnewline
124 & 0.999996408609305 & 7.18278138938917e-06 & 3.59139069469458e-06 \tabularnewline
125 & 0.999997313250465 & 5.37349907080821e-06 & 2.6867495354041e-06 \tabularnewline
126 & 0.999996148613981 & 7.70277203831587e-06 & 3.85138601915794e-06 \tabularnewline
127 & 0.999995118164648 & 9.76367070403631e-06 & 4.88183535201816e-06 \tabularnewline
128 & 0.999995379027977 & 9.24194404609716e-06 & 4.62097202304858e-06 \tabularnewline
129 & 0.999993855073258 & 1.22898534839131e-05 & 6.14492674195655e-06 \tabularnewline
130 & 0.999991281128174 & 1.74377436527155e-05 & 8.71887182635775e-06 \tabularnewline
131 & 0.999987490845645 & 2.50183087102062e-05 & 1.25091543551031e-05 \tabularnewline
132 & 0.999991771332543 & 1.64573349131793e-05 & 8.22866745658963e-06 \tabularnewline
133 & 0.999988495791704 & 2.30084165912908e-05 & 1.15042082956454e-05 \tabularnewline
134 & 0.99998432587161 & 3.13482567791287e-05 & 1.56741283895644e-05 \tabularnewline
135 & 0.999998833606444 & 2.33278711265195e-06 & 1.16639355632598e-06 \tabularnewline
136 & 0.999999120273122 & 1.75945375634693e-06 & 8.79726878173467e-07 \tabularnewline
137 & 0.999998667331842 & 2.66533631624649e-06 & 1.33266815812324e-06 \tabularnewline
138 & 0.999998804982322 & 2.39003535526824e-06 & 1.19501767763412e-06 \tabularnewline
139 & 0.999998816908532 & 2.36618293549387e-06 & 1.18309146774694e-06 \tabularnewline
140 & 0.999998618616734 & 2.76276653166065e-06 & 1.38138326583032e-06 \tabularnewline
141 & 0.999997975508947 & 4.04898210536654e-06 & 2.02449105268327e-06 \tabularnewline
142 & 0.999996978753063 & 6.04249387295584e-06 & 3.02124693647792e-06 \tabularnewline
143 & 0.999996356015803 & 7.2879683937635e-06 & 3.64398419688175e-06 \tabularnewline
144 & 0.999995385456844 & 9.22908631230926e-06 & 4.61454315615463e-06 \tabularnewline
145 & 0.999993203291182 & 1.35934176349862e-05 & 6.79670881749312e-06 \tabularnewline
146 & 0.9999903196925 & 1.93606149991687e-05 & 9.68030749958434e-06 \tabularnewline
147 & 0.99998595518185 & 2.80896363001291e-05 & 1.40448181500646e-05 \tabularnewline
148 & 0.999981810900324 & 3.63781993515585e-05 & 1.81890996757793e-05 \tabularnewline
149 & 0.99997459291171 & 5.08141765808474e-05 & 2.54070882904237e-05 \tabularnewline
150 & 0.999963736910396 & 7.25261792077654e-05 & 3.62630896038827e-05 \tabularnewline
151 & 0.999959103358555 & 8.17932828907168e-05 & 4.08966414453584e-05 \tabularnewline
152 & 0.999978498381253 & 4.30032374948802e-05 & 2.15016187474401e-05 \tabularnewline
153 & 0.999969750098498 & 6.04998030038697e-05 & 3.02499015019349e-05 \tabularnewline
154 & 0.99996799025606 & 6.40194878791492e-05 & 3.20097439395746e-05 \tabularnewline
155 & 0.999956984969604 & 8.6030060792988e-05 & 4.3015030396494e-05 \tabularnewline
156 & 0.999942001894406 & 0.000115996211188213 & 5.79981055941067e-05 \tabularnewline
157 & 0.999917886345697 & 0.000164227308605691 & 8.21136543028456e-05 \tabularnewline
158 & 0.99989091440544 & 0.00021817118911964 & 0.00010908559455982 \tabularnewline
159 & 0.999867079914063 & 0.000265840171873199 & 0.0001329200859366 \tabularnewline
160 & 0.999883687009498 & 0.000232625981004069 & 0.000116312990502035 \tabularnewline
161 & 0.999984905853761 & 3.0188292478395e-05 & 1.50941462391975e-05 \tabularnewline
162 & 0.999978060143107 & 4.3879713785791e-05 & 2.19398568928955e-05 \tabularnewline
163 & 0.999968393343519 & 6.3213312961894e-05 & 3.1606656480947e-05 \tabularnewline
164 & 0.999995457554647 & 9.08489070515546e-06 & 4.54244535257773e-06 \tabularnewline
165 & 0.999993340256512 & 1.33194869765294e-05 & 6.65974348826469e-06 \tabularnewline
166 & 0.999990677082369 & 1.86458352628515e-05 & 9.32291763142573e-06 \tabularnewline
167 & 0.999987058641747 & 2.58827165068674e-05 & 1.29413582534337e-05 \tabularnewline
168 & 0.999981750397828 & 3.64992043448373e-05 & 1.82496021724186e-05 \tabularnewline
169 & 0.999973676364735 & 5.26472705308401e-05 & 2.632363526542e-05 \tabularnewline
170 & 0.9999996812058 & 6.37588399834097e-07 & 3.18794199917049e-07 \tabularnewline
171 & 0.999999996547499 & 6.90500216075405e-09 & 3.45250108037702e-09 \tabularnewline
172 & 0.999999997363483 & 5.2730337372086e-09 & 2.6365168686043e-09 \tabularnewline
173 & 0.99999999984762 & 3.04760028353473e-10 & 1.52380014176737e-10 \tabularnewline
174 & 0.999999999805115 & 3.8976999512648e-10 & 1.9488499756324e-10 \tabularnewline
175 & 0.999999999999513 & 9.7412490879364e-13 & 4.8706245439682e-13 \tabularnewline
176 & 0.999999999999878 & 2.43767012056539e-13 & 1.21883506028269e-13 \tabularnewline
177 & 0.999999999999758 & 4.8308128327361e-13 & 2.41540641636805e-13 \tabularnewline
178 & 0.99999999999959 & 8.20560791165074e-13 & 4.10280395582537e-13 \tabularnewline
179 & 0.999999999999842 & 3.15384020219133e-13 & 1.57692010109567e-13 \tabularnewline
180 & 0.999999999999868 & 2.64019170321169e-13 & 1.32009585160585e-13 \tabularnewline
181 & 0.99999999999974 & 5.20465017118459e-13 & 2.6023250855923e-13 \tabularnewline
182 & 0.999999999999594 & 8.11414571444112e-13 & 4.05707285722056e-13 \tabularnewline
183 & 0.999999999999199 & 1.60279177040704e-12 & 8.01395885203521e-13 \tabularnewline
184 & 0.999999999999234 & 1.53223411507913e-12 & 7.66117057539565e-13 \tabularnewline
185 & 0.999999999999451 & 1.09734712907797e-12 & 5.48673564538986e-13 \tabularnewline
186 & 0.999999999999133 & 1.73381970134038e-12 & 8.66909850670192e-13 \tabularnewline
187 & 0.99999999999829 & 3.41985532594807e-12 & 1.70992766297403e-12 \tabularnewline
188 & 0.999999999996619 & 6.76152405284063e-12 & 3.38076202642032e-12 \tabularnewline
189 & 0.999999999997181 & 5.63848333820649e-12 & 2.81924166910324e-12 \tabularnewline
190 & 0.99999999999524 & 9.52084182855431e-12 & 4.76042091427715e-12 \tabularnewline
191 & 0.999999999993749 & 1.25018147888873e-11 & 6.25090739444367e-12 \tabularnewline
192 & 0.999999999989012 & 2.19767260788608e-11 & 1.09883630394304e-11 \tabularnewline
193 & 0.999999999979215 & 4.15709431237015e-11 & 2.07854715618508e-11 \tabularnewline
194 & 0.999999999962173 & 7.5654376560008e-11 & 3.7827188280004e-11 \tabularnewline
195 & 0.999999999932954 & 1.34092630241137e-10 & 6.70463151205683e-11 \tabularnewline
196 & 0.999999999872326 & 2.55348788569662e-10 & 1.27674394284831e-10 \tabularnewline
197 & 0.999999999763508 & 4.7298473798295e-10 & 2.36492368991475e-10 \tabularnewline
198 & 0.999999999614523 & 7.70953561724477e-10 & 3.85476780862238e-10 \tabularnewline
199 & 0.999999999280774 & 1.43845289862347e-09 & 7.19226449311736e-10 \tabularnewline
200 & 0.999999999295462 & 1.40907507430614e-09 & 7.04537537153072e-10 \tabularnewline
201 & 0.999999998691167 & 2.61766681171526e-09 & 1.30883340585763e-09 \tabularnewline
202 & 0.999999998448271 & 3.10345857076924e-09 & 1.55172928538462e-09 \tabularnewline
203 & 0.9999999987656 & 2.46879966840307e-09 & 1.23439983420153e-09 \tabularnewline
204 & 0.999999998770382 & 2.45923590748661e-09 & 1.22961795374331e-09 \tabularnewline
205 & 0.999999997753078 & 4.49384396407777e-09 & 2.24692198203888e-09 \tabularnewline
206 & 0.999999996584323 & 6.83135308649474e-09 & 3.41567654324737e-09 \tabularnewline
207 & 0.999999993686243 & 1.26275137006086e-08 & 6.31375685030429e-09 \tabularnewline
208 & 0.999999999926037 & 1.47926324512634e-10 & 7.3963162256317e-11 \tabularnewline
209 & 0.999999999963429 & 7.31410910605464e-11 & 3.65705455302732e-11 \tabularnewline
210 & 0.999999999949366 & 1.01268802303209e-10 & 5.06344011516044e-11 \tabularnewline
211 & 0.999999999944918 & 1.10164546033195e-10 & 5.50822730165977e-11 \tabularnewline
212 & 0.999999999958593 & 8.28149331571892e-11 & 4.14074665785946e-11 \tabularnewline
213 & 0.999999999938353 & 1.23294278682343e-10 & 6.16471393411715e-11 \tabularnewline
214 & 0.999999999879866 & 2.40267630371035e-10 & 1.20133815185518e-10 \tabularnewline
215 & 0.999999999759952 & 4.80096855560615e-10 & 2.40048427780308e-10 \tabularnewline
216 & 0.999999999578833 & 8.42333558352032e-10 & 4.21166779176016e-10 \tabularnewline
217 & 0.999999999161198 & 1.67760351177184e-09 & 8.3880175588592e-10 \tabularnewline
218 & 0.999999998320261 & 3.35947761507536e-09 & 1.67973880753768e-09 \tabularnewline
219 & 0.999999997476368 & 5.04726478172184e-09 & 2.52363239086092e-09 \tabularnewline
220 & 0.999999996630016 & 6.73996776040151e-09 & 3.36998388020076e-09 \tabularnewline
221 & 0.999999994036899 & 1.19262022745062e-08 & 5.96310113725312e-09 \tabularnewline
222 & 0.999999990570792 & 1.88584156315656e-08 & 9.42920781578279e-09 \tabularnewline
223 & 0.999999982594409 & 3.4811182221931e-08 & 1.74055911109655e-08 \tabularnewline
224 & 0.999999967503165 & 6.49936707211834e-08 & 3.24968353605917e-08 \tabularnewline
225 & 0.999999955740354 & 8.85192915024887e-08 & 4.42596457512444e-08 \tabularnewline
226 & 0.999999982215152 & 3.55696951072641e-08 & 1.7784847553632e-08 \tabularnewline
227 & 0.999999974946257 & 5.01074850868776e-08 & 2.50537425434388e-08 \tabularnewline
228 & 0.999999996240519 & 7.51896220135729e-09 & 3.75948110067864e-09 \tabularnewline
229 & 0.999999993729625 & 1.25407506252388e-08 & 6.27037531261941e-09 \tabularnewline
230 & 0.999999989070824 & 2.1858352722187e-08 & 1.09291763610935e-08 \tabularnewline
231 & 0.999999982878064 & 3.42438720289952e-08 & 1.71219360144976e-08 \tabularnewline
232 & 0.999999967017843 & 6.59643135761897e-08 & 3.29821567880949e-08 \tabularnewline
233 & 0.999999935932142 & 1.2813571563327e-07 & 6.4067857816635e-08 \tabularnewline
234 & 0.999999925682765 & 1.48634470282664e-07 & 7.43172351413318e-08 \tabularnewline
235 & 0.999999941287089 & 1.17425821508841e-07 & 5.87129107544206e-08 \tabularnewline
236 & 0.999999946420895 & 1.07158210022305e-07 & 5.35791050111523e-08 \tabularnewline
237 & 0.999999998932216 & 2.13556865881972e-09 & 1.06778432940986e-09 \tabularnewline
238 & 0.999999998884692 & 2.23061591952727e-09 & 1.11530795976364e-09 \tabularnewline
239 & 0.999999997463625 & 5.07275001125987e-09 & 2.53637500562994e-09 \tabularnewline
240 & 0.999999998053117 & 3.89376602591476e-09 & 1.94688301295738e-09 \tabularnewline
241 & 0.999999995519983 & 8.96003485101122e-09 & 4.48001742550561e-09 \tabularnewline
242 & 0.999999994858424 & 1.02831526032867e-08 & 5.14157630164336e-09 \tabularnewline
243 & 0.999999994124317 & 1.17513669320594e-08 & 5.87568346602971e-09 \tabularnewline
244 & 0.999999989343804 & 2.13123923065199e-08 & 1.06561961532599e-08 \tabularnewline
245 & 0.999999977616668 & 4.47666633266188e-08 & 2.23833316633094e-08 \tabularnewline
246 & 0.999999949476123 & 1.01047754006029e-07 & 5.05238770030144e-08 \tabularnewline
247 & 0.999999910959793 & 1.78080414321647e-07 & 8.90402071608235e-08 \tabularnewline
248 & 0.999999865871702 & 2.68256596880924e-07 & 1.34128298440462e-07 \tabularnewline
249 & 0.999999779990002 & 4.40019996647789e-07 & 2.20009998323894e-07 \tabularnewline
250 & 0.999999637721058 & 7.24557884381977e-07 & 3.62278942190989e-07 \tabularnewline
251 & 0.999999974782488 & 5.04350245881729e-08 & 2.52175122940864e-08 \tabularnewline
252 & 0.999999940313992 & 1.19372016309772e-07 & 5.96860081548862e-08 \tabularnewline
253 & 0.999999883362451 & 2.33275097200985e-07 & 1.16637548600493e-07 \tabularnewline
254 & 0.999999919983312 & 1.60033376637188e-07 & 8.00166883185941e-08 \tabularnewline
255 & 0.999999854124034 & 2.91751931736182e-07 & 1.45875965868091e-07 \tabularnewline
256 & 0.999999649529117 & 7.00941766958589e-07 & 3.50470883479295e-07 \tabularnewline
257 & 0.999999744450565 & 5.11098869192426e-07 & 2.55549434596213e-07 \tabularnewline
258 & 0.999999574103707 & 8.51792586381274e-07 & 4.25896293190637e-07 \tabularnewline
259 & 0.999998957362826 & 2.08527434812679e-06 & 1.04263717406339e-06 \tabularnewline
260 & 0.99999782337202 & 4.35325596013871e-06 & 2.17662798006935e-06 \tabularnewline
261 & 0.99999836647552 & 3.26704896075408e-06 & 1.63352448037704e-06 \tabularnewline
262 & 0.999996359304307 & 7.28139138553184e-06 & 3.64069569276592e-06 \tabularnewline
263 & 0.999991197006673 & 1.76059866535567e-05 & 8.80299332677833e-06 \tabularnewline
264 & 0.999993044886632 & 1.39102267364515e-05 & 6.95511336822574e-06 \tabularnewline
265 & 0.99998619416889 & 2.76116622190815e-05 & 1.38058311095408e-05 \tabularnewline
266 & 0.999967646790677 & 6.47064186453823e-05 & 3.23532093226912e-05 \tabularnewline
267 & 0.999949967516762 & 0.000100064966476252 & 5.00324832381258e-05 \tabularnewline
268 & 0.99990817704689 & 0.000183645906219356 & 9.18229531096779e-05 \tabularnewline
269 & 0.999981325607091 & 3.73487858172473e-05 & 1.86743929086236e-05 \tabularnewline
270 & 0.999958583900229 & 8.28321995429542e-05 & 4.14160997714771e-05 \tabularnewline
271 & 0.999941453704481 & 0.000117092591037208 & 5.85462955186041e-05 \tabularnewline
272 & 0.999827964926733 & 0.000344070146534735 & 0.000172035073267368 \tabularnewline
273 & 0.999543715656237 & 0.000912568687526857 & 0.000456284343763428 \tabularnewline
274 & 0.998918126697574 & 0.00216374660485176 & 0.00108187330242588 \tabularnewline
275 & 0.997086115329053 & 0.00582776934189322 & 0.00291388467094661 \tabularnewline
276 & 0.997724569354939 & 0.00455086129012267 & 0.00227543064506134 \tabularnewline
277 & 0.9943870181769 & 0.0112259636461994 & 0.00561298182309968 \tabularnewline
278 & 0.993106804752737 & 0.0137863904945263 & 0.00689319524726317 \tabularnewline
279 & 0.982003956787381 & 0.0359920864252378 & 0.0179960432126189 \tabularnewline
280 & 0.983748975991746 & 0.0325020480165075 & 0.0162510240082538 \tabularnewline
281 & 0.969293877280059 & 0.0614122454398828 & 0.0307061227199414 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197679&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]8[/C][C]0.967537334632641[/C][C]0.064925330734717[/C][C]0.0324626653673585[/C][/ROW]
[ROW][C]9[/C][C]0.940381836642398[/C][C]0.119236326715204[/C][C]0.0596181633576019[/C][/ROW]
[ROW][C]10[/C][C]0.901662517471515[/C][C]0.19667496505697[/C][C]0.0983374825284849[/C][/ROW]
[ROW][C]11[/C][C]0.841844207062917[/C][C]0.316311585874166[/C][C]0.158155792937083[/C][/ROW]
[ROW][C]12[/C][C]0.788117592106887[/C][C]0.423764815786226[/C][C]0.211882407893113[/C][/ROW]
[ROW][C]13[/C][C]0.708006222218365[/C][C]0.583987555563271[/C][C]0.291993777781635[/C][/ROW]
[ROW][C]14[/C][C]0.660680905490011[/C][C]0.678638189019977[/C][C]0.339319094509989[/C][/ROW]
[ROW][C]15[/C][C]0.641227613418872[/C][C]0.717544773162255[/C][C]0.358772386581128[/C][/ROW]
[ROW][C]16[/C][C]0.58874979831846[/C][C]0.822500403363079[/C][C]0.41125020168154[/C][/ROW]
[ROW][C]17[/C][C]0.506547775528397[/C][C]0.986904448943206[/C][C]0.493452224471603[/C][/ROW]
[ROW][C]18[/C][C]0.461510216450675[/C][C]0.923020432901351[/C][C]0.538489783549325[/C][/ROW]
[ROW][C]19[/C][C]0.517562250293212[/C][C]0.964875499413575[/C][C]0.482437749706787[/C][/ROW]
[ROW][C]20[/C][C]0.688028393193866[/C][C]0.623943213612268[/C][C]0.311971606806134[/C][/ROW]
[ROW][C]21[/C][C]0.631535519915079[/C][C]0.736928960169843[/C][C]0.368464480084921[/C][/ROW]
[ROW][C]22[/C][C]0.608198856808483[/C][C]0.783602286383035[/C][C]0.391801143191517[/C][/ROW]
[ROW][C]23[/C][C]0.957606766215983[/C][C]0.0847864675680337[/C][C]0.0423932337840168[/C][/ROW]
[ROW][C]24[/C][C]0.943778084767429[/C][C]0.112443830465141[/C][C]0.0562219152325707[/C][/ROW]
[ROW][C]25[/C][C]0.960241183554612[/C][C]0.0795176328907766[/C][C]0.0397588164453883[/C][/ROW]
[ROW][C]26[/C][C]0.985858963833486[/C][C]0.0282820723330285[/C][C]0.0141410361665143[/C][/ROW]
[ROW][C]27[/C][C]0.979849992034621[/C][C]0.0403000159307582[/C][C]0.0201500079653791[/C][/ROW]
[ROW][C]28[/C][C]0.975728058842832[/C][C]0.0485438823143358[/C][C]0.0242719411571679[/C][/ROW]
[ROW][C]29[/C][C]0.966310929137637[/C][C]0.067378141724726[/C][C]0.033689070862363[/C][/ROW]
[ROW][C]30[/C][C]0.954757079384071[/C][C]0.0904858412318573[/C][C]0.0452429206159286[/C][/ROW]
[ROW][C]31[/C][C]0.940809374187698[/C][C]0.118381251624603[/C][C]0.0591906258123016[/C][/ROW]
[ROW][C]32[/C][C]0.923116993914009[/C][C]0.153766012171983[/C][C]0.0768830060859913[/C][/ROW]
[ROW][C]33[/C][C]0.914131047851089[/C][C]0.171737904297823[/C][C]0.0858689521489115[/C][/ROW]
[ROW][C]34[/C][C]0.89213145344488[/C][C]0.21573709311024[/C][C]0.10786854655512[/C][/ROW]
[ROW][C]35[/C][C]0.870878090016584[/C][C]0.258243819966832[/C][C]0.129121909983416[/C][/ROW]
[ROW][C]36[/C][C]0.877040412395119[/C][C]0.245919175209762[/C][C]0.122959587604881[/C][/ROW]
[ROW][C]37[/C][C]0.850374348514736[/C][C]0.299251302970527[/C][C]0.149625651485264[/C][/ROW]
[ROW][C]38[/C][C]0.864225078019831[/C][C]0.271549843960339[/C][C]0.135774921980169[/C][/ROW]
[ROW][C]39[/C][C]0.980001799502805[/C][C]0.0399964009943909[/C][C]0.0199982004971955[/C][/ROW]
[ROW][C]40[/C][C]0.976109486693771[/C][C]0.0477810266124585[/C][C]0.0238905133062293[/C][/ROW]
[ROW][C]41[/C][C]0.968543035400818[/C][C]0.0629139291983638[/C][C]0.0314569645991819[/C][/ROW]
[ROW][C]42[/C][C]0.959451427970378[/C][C]0.0810971440592439[/C][C]0.0405485720296219[/C][/ROW]
[ROW][C]43[/C][C]0.950422557605516[/C][C]0.0991548847889683[/C][C]0.0495774423944842[/C][/ROW]
[ROW][C]44[/C][C]0.948648446437844[/C][C]0.102703107124313[/C][C]0.0513515535621564[/C][/ROW]
[ROW][C]45[/C][C]0.946199012783285[/C][C]0.10760197443343[/C][C]0.053800987216715[/C][/ROW]
[ROW][C]46[/C][C]0.933569043426025[/C][C]0.13286191314795[/C][C]0.0664309565739751[/C][/ROW]
[ROW][C]47[/C][C]0.927460781970476[/C][C]0.145078436059047[/C][C]0.0725392180295236[/C][/ROW]
[ROW][C]48[/C][C]0.910321652609054[/C][C]0.179356694781892[/C][C]0.0896783473909459[/C][/ROW]
[ROW][C]49[/C][C]0.892028645000804[/C][C]0.215942709998393[/C][C]0.107971354999196[/C][/ROW]
[ROW][C]50[/C][C]0.872892997980913[/C][C]0.254214004038175[/C][C]0.127107002019087[/C][/ROW]
[ROW][C]51[/C][C]0.998019857014443[/C][C]0.00396028597111352[/C][C]0.00198014298555676[/C][/ROW]
[ROW][C]52[/C][C]0.997282244101035[/C][C]0.00543551179792925[/C][C]0.00271775589896462[/C][/ROW]
[ROW][C]53[/C][C]0.997521019526098[/C][C]0.00495796094780324[/C][C]0.00247898047390162[/C][/ROW]
[ROW][C]54[/C][C]0.996647765025154[/C][C]0.0067044699496915[/C][C]0.00335223497484575[/C][/ROW]
[ROW][C]55[/C][C]0.997467845401388[/C][C]0.00506430919722365[/C][C]0.00253215459861182[/C][/ROW]
[ROW][C]56[/C][C]0.996752960889735[/C][C]0.00649407822052953[/C][C]0.00324703911026476[/C][/ROW]
[ROW][C]57[/C][C]0.995925848684322[/C][C]0.00814830263135671[/C][C]0.00407415131567836[/C][/ROW]
[ROW][C]58[/C][C]0.999176546800083[/C][C]0.00164690639983303[/C][C]0.000823453199916515[/C][/ROW]
[ROW][C]59[/C][C]0.998872807215727[/C][C]0.00225438556854601[/C][C]0.00112719278427301[/C][/ROW]
[ROW][C]60[/C][C]0.998469975324518[/C][C]0.00306004935096467[/C][C]0.00153002467548233[/C][/ROW]
[ROW][C]61[/C][C]0.99808018797329[/C][C]0.00383962405342073[/C][C]0.00191981202671037[/C][/ROW]
[ROW][C]62[/C][C]0.997409981136117[/C][C]0.00518003772776518[/C][C]0.00259001886388259[/C][/ROW]
[ROW][C]63[/C][C]0.999718297603963[/C][C]0.000563404792074226[/C][C]0.000281702396037113[/C][/ROW]
[ROW][C]64[/C][C]0.999621231457718[/C][C]0.000757537084564881[/C][C]0.000378768542282441[/C][/ROW]
[ROW][C]65[/C][C]0.999532094117675[/C][C]0.000935811764650222[/C][C]0.000467905882325111[/C][/ROW]
[ROW][C]66[/C][C]0.999525074041755[/C][C]0.000949851916490309[/C][C]0.000474925958245154[/C][/ROW]
[ROW][C]67[/C][C]0.999442656751622[/C][C]0.0011146864967565[/C][C]0.000557343248378249[/C][/ROW]
[ROW][C]68[/C][C]0.999398749879956[/C][C]0.0012025002400878[/C][C]0.000601250120043898[/C][/ROW]
[ROW][C]69[/C][C]0.99924387453495[/C][C]0.00151225093010004[/C][C]0.00075612546505002[/C][/ROW]
[ROW][C]70[/C][C]0.999004907422674[/C][C]0.00199018515465203[/C][C]0.000995092577326015[/C][/ROW]
[ROW][C]71[/C][C]0.998882529300817[/C][C]0.00223494139836557[/C][C]0.00111747069918279[/C][/ROW]
[ROW][C]72[/C][C]0.998922047374427[/C][C]0.00215590525114594[/C][C]0.00107795262557297[/C][/ROW]
[ROW][C]73[/C][C]0.998556377939865[/C][C]0.00288724412027063[/C][C]0.00144362206013531[/C][/ROW]
[ROW][C]74[/C][C]0.998495604645665[/C][C]0.00300879070867096[/C][C]0.00150439535433548[/C][/ROW]
[ROW][C]75[/C][C]0.998017935660623[/C][C]0.00396412867875356[/C][C]0.00198206433937678[/C][/ROW]
[ROW][C]76[/C][C]0.998485725410646[/C][C]0.00302854917870712[/C][C]0.00151427458935356[/C][/ROW]
[ROW][C]77[/C][C]0.999529142123585[/C][C]0.000941715752829804[/C][C]0.000470857876414902[/C][/ROW]
[ROW][C]78[/C][C]0.999381154995405[/C][C]0.00123769000919054[/C][C]0.000618845004595272[/C][/ROW]
[ROW][C]79[/C][C]0.999198260424465[/C][C]0.00160347915106909[/C][C]0.000801739575534543[/C][/ROW]
[ROW][C]80[/C][C]0.998914041137333[/C][C]0.00217191772533459[/C][C]0.00108595886266729[/C][/ROW]
[ROW][C]81[/C][C]0.998580890531393[/C][C]0.00283821893721381[/C][C]0.00141910946860691[/C][/ROW]
[ROW][C]82[/C][C]0.999424484325186[/C][C]0.00115103134962706[/C][C]0.000575515674813529[/C][/ROW]
[ROW][C]83[/C][C]0.999455309827401[/C][C]0.00108938034519829[/C][C]0.000544690172599144[/C][/ROW]
[ROW][C]84[/C][C]0.99936659376348[/C][C]0.00126681247304066[/C][C]0.000633406236520332[/C][/ROW]
[ROW][C]85[/C][C]0.999157287473511[/C][C]0.00168542505297868[/C][C]0.00084271252648934[/C][/ROW]
[ROW][C]86[/C][C]0.99950417885597[/C][C]0.000991642288060949[/C][C]0.000495821144030475[/C][/ROW]
[ROW][C]87[/C][C]0.999352930725636[/C][C]0.00129413854872827[/C][C]0.000647069274364135[/C][/ROW]
[ROW][C]88[/C][C]0.999133359813496[/C][C]0.00173328037300743[/C][C]0.000866640186503716[/C][/ROW]
[ROW][C]89[/C][C]0.999790018556747[/C][C]0.000419962886505829[/C][C]0.000209981443252915[/C][/ROW]
[ROW][C]90[/C][C]0.999770722382556[/C][C]0.00045855523488751[/C][C]0.000229277617443755[/C][/ROW]
[ROW][C]91[/C][C]0.999781674737809[/C][C]0.000436650524381241[/C][C]0.00021832526219062[/C][/ROW]
[ROW][C]92[/C][C]0.999725367373533[/C][C]0.000549265252934022[/C][C]0.000274632626467011[/C][/ROW]
[ROW][C]93[/C][C]0.999666722469548[/C][C]0.00066655506090493[/C][C]0.000333277530452465[/C][/ROW]
[ROW][C]94[/C][C]0.999653674277816[/C][C]0.000692651444368792[/C][C]0.000346325722184396[/C][/ROW]
[ROW][C]95[/C][C]0.999525898752332[/C][C]0.00094820249533537[/C][C]0.000474101247667685[/C][/ROW]
[ROW][C]96[/C][C]0.999973201217529[/C][C]5.35975649423067e-05[/C][C]2.67987824711533e-05[/C][/ROW]
[ROW][C]97[/C][C]0.999975919238694[/C][C]4.81615226126636e-05[/C][C]2.40807613063318e-05[/C][/ROW]
[ROW][C]98[/C][C]0.999998941006076[/C][C]2.11798784749868e-06[/C][C]1.05899392374934e-06[/C][/ROW]
[ROW][C]99[/C][C]0.999998770187398[/C][C]2.45962520453261e-06[/C][C]1.22981260226631e-06[/C][/ROW]
[ROW][C]100[/C][C]0.999999807759792[/C][C]3.84480415526682e-07[/C][C]1.92240207763341e-07[/C][/ROW]
[ROW][C]101[/C][C]0.999999717894336[/C][C]5.64211327903327e-07[/C][C]2.82105663951663e-07[/C][/ROW]
[ROW][C]102[/C][C]0.999999597507723[/C][C]8.04984554274253e-07[/C][C]4.02492277137127e-07[/C][/ROW]
[ROW][C]103[/C][C]0.999999765534996[/C][C]4.68930006952103e-07[/C][C]2.34465003476052e-07[/C][/ROW]
[ROW][C]104[/C][C]0.99999964134732[/C][C]7.17305360309099e-07[/C][C]3.5865268015455e-07[/C][/ROW]
[ROW][C]105[/C][C]0.999999543924099[/C][C]9.12151801904449e-07[/C][C]4.56075900952224e-07[/C][/ROW]
[ROW][C]106[/C][C]0.999999515654389[/C][C]9.6869122270542e-07[/C][C]4.8434561135271e-07[/C][/ROW]
[ROW][C]107[/C][C]0.999999298180169[/C][C]1.40363966172676e-06[/C][C]7.01819830863378e-07[/C][/ROW]
[ROW][C]108[/C][C]0.999999080147387[/C][C]1.83970522547698e-06[/C][C]9.19852612738489e-07[/C][/ROW]
[ROW][C]109[/C][C]0.99999868406618[/C][C]2.63186763931441e-06[/C][C]1.3159338196572e-06[/C][/ROW]
[ROW][C]110[/C][C]0.999998135542017[/C][C]3.72891596662936e-06[/C][C]1.86445798331468e-06[/C][/ROW]
[ROW][C]111[/C][C]0.999997694424557[/C][C]4.61115088619376e-06[/C][C]2.30557544309688e-06[/C][/ROW]
[ROW][C]112[/C][C]0.999996656505177[/C][C]6.68698964537526e-06[/C][C]3.34349482268763e-06[/C][/ROW]
[ROW][C]113[/C][C]0.999996915175324[/C][C]6.16964935246146e-06[/C][C]3.08482467623073e-06[/C][/ROW]
[ROW][C]114[/C][C]0.999995451832456[/C][C]9.09633508856535e-06[/C][C]4.54816754428268e-06[/C][/ROW]
[ROW][C]115[/C][C]0.999997471783936[/C][C]5.05643212746681e-06[/C][C]2.5282160637334e-06[/C][/ROW]
[ROW][C]116[/C][C]0.999996276203562[/C][C]7.44759287602294e-06[/C][C]3.72379643801147e-06[/C][/ROW]
[ROW][C]117[/C][C]0.999995050265903[/C][C]9.89946819404715e-06[/C][C]4.94973409702357e-06[/C][/ROW]
[ROW][C]118[/C][C]0.999998973448824[/C][C]2.05310235132651e-06[/C][C]1.02655117566325e-06[/C][/ROW]
[ROW][C]119[/C][C]0.99999851611828[/C][C]2.96776344042627e-06[/C][C]1.48388172021313e-06[/C][/ROW]
[ROW][C]120[/C][C]0.999997811350966[/C][C]4.3772980675865e-06[/C][C]2.18864903379325e-06[/C][/ROW]
[ROW][C]121[/C][C]0.999996734054448[/C][C]6.53189110426392e-06[/C][C]3.26594555213196e-06[/C][/ROW]
[ROW][C]122[/C][C]0.999995422697328[/C][C]9.15460534446738e-06[/C][C]4.57730267223369e-06[/C][/ROW]
[ROW][C]123[/C][C]0.999993460447116[/C][C]1.30791057679731e-05[/C][C]6.53955288398657e-06[/C][/ROW]
[ROW][C]124[/C][C]0.999996408609305[/C][C]7.18278138938917e-06[/C][C]3.59139069469458e-06[/C][/ROW]
[ROW][C]125[/C][C]0.999997313250465[/C][C]5.37349907080821e-06[/C][C]2.6867495354041e-06[/C][/ROW]
[ROW][C]126[/C][C]0.999996148613981[/C][C]7.70277203831587e-06[/C][C]3.85138601915794e-06[/C][/ROW]
[ROW][C]127[/C][C]0.999995118164648[/C][C]9.76367070403631e-06[/C][C]4.88183535201816e-06[/C][/ROW]
[ROW][C]128[/C][C]0.999995379027977[/C][C]9.24194404609716e-06[/C][C]4.62097202304858e-06[/C][/ROW]
[ROW][C]129[/C][C]0.999993855073258[/C][C]1.22898534839131e-05[/C][C]6.14492674195655e-06[/C][/ROW]
[ROW][C]130[/C][C]0.999991281128174[/C][C]1.74377436527155e-05[/C][C]8.71887182635775e-06[/C][/ROW]
[ROW][C]131[/C][C]0.999987490845645[/C][C]2.50183087102062e-05[/C][C]1.25091543551031e-05[/C][/ROW]
[ROW][C]132[/C][C]0.999991771332543[/C][C]1.64573349131793e-05[/C][C]8.22866745658963e-06[/C][/ROW]
[ROW][C]133[/C][C]0.999988495791704[/C][C]2.30084165912908e-05[/C][C]1.15042082956454e-05[/C][/ROW]
[ROW][C]134[/C][C]0.99998432587161[/C][C]3.13482567791287e-05[/C][C]1.56741283895644e-05[/C][/ROW]
[ROW][C]135[/C][C]0.999998833606444[/C][C]2.33278711265195e-06[/C][C]1.16639355632598e-06[/C][/ROW]
[ROW][C]136[/C][C]0.999999120273122[/C][C]1.75945375634693e-06[/C][C]8.79726878173467e-07[/C][/ROW]
[ROW][C]137[/C][C]0.999998667331842[/C][C]2.66533631624649e-06[/C][C]1.33266815812324e-06[/C][/ROW]
[ROW][C]138[/C][C]0.999998804982322[/C][C]2.39003535526824e-06[/C][C]1.19501767763412e-06[/C][/ROW]
[ROW][C]139[/C][C]0.999998816908532[/C][C]2.36618293549387e-06[/C][C]1.18309146774694e-06[/C][/ROW]
[ROW][C]140[/C][C]0.999998618616734[/C][C]2.76276653166065e-06[/C][C]1.38138326583032e-06[/C][/ROW]
[ROW][C]141[/C][C]0.999997975508947[/C][C]4.04898210536654e-06[/C][C]2.02449105268327e-06[/C][/ROW]
[ROW][C]142[/C][C]0.999996978753063[/C][C]6.04249387295584e-06[/C][C]3.02124693647792e-06[/C][/ROW]
[ROW][C]143[/C][C]0.999996356015803[/C][C]7.2879683937635e-06[/C][C]3.64398419688175e-06[/C][/ROW]
[ROW][C]144[/C][C]0.999995385456844[/C][C]9.22908631230926e-06[/C][C]4.61454315615463e-06[/C][/ROW]
[ROW][C]145[/C][C]0.999993203291182[/C][C]1.35934176349862e-05[/C][C]6.79670881749312e-06[/C][/ROW]
[ROW][C]146[/C][C]0.9999903196925[/C][C]1.93606149991687e-05[/C][C]9.68030749958434e-06[/C][/ROW]
[ROW][C]147[/C][C]0.99998595518185[/C][C]2.80896363001291e-05[/C][C]1.40448181500646e-05[/C][/ROW]
[ROW][C]148[/C][C]0.999981810900324[/C][C]3.63781993515585e-05[/C][C]1.81890996757793e-05[/C][/ROW]
[ROW][C]149[/C][C]0.99997459291171[/C][C]5.08141765808474e-05[/C][C]2.54070882904237e-05[/C][/ROW]
[ROW][C]150[/C][C]0.999963736910396[/C][C]7.25261792077654e-05[/C][C]3.62630896038827e-05[/C][/ROW]
[ROW][C]151[/C][C]0.999959103358555[/C][C]8.17932828907168e-05[/C][C]4.08966414453584e-05[/C][/ROW]
[ROW][C]152[/C][C]0.999978498381253[/C][C]4.30032374948802e-05[/C][C]2.15016187474401e-05[/C][/ROW]
[ROW][C]153[/C][C]0.999969750098498[/C][C]6.04998030038697e-05[/C][C]3.02499015019349e-05[/C][/ROW]
[ROW][C]154[/C][C]0.99996799025606[/C][C]6.40194878791492e-05[/C][C]3.20097439395746e-05[/C][/ROW]
[ROW][C]155[/C][C]0.999956984969604[/C][C]8.6030060792988e-05[/C][C]4.3015030396494e-05[/C][/ROW]
[ROW][C]156[/C][C]0.999942001894406[/C][C]0.000115996211188213[/C][C]5.79981055941067e-05[/C][/ROW]
[ROW][C]157[/C][C]0.999917886345697[/C][C]0.000164227308605691[/C][C]8.21136543028456e-05[/C][/ROW]
[ROW][C]158[/C][C]0.99989091440544[/C][C]0.00021817118911964[/C][C]0.00010908559455982[/C][/ROW]
[ROW][C]159[/C][C]0.999867079914063[/C][C]0.000265840171873199[/C][C]0.0001329200859366[/C][/ROW]
[ROW][C]160[/C][C]0.999883687009498[/C][C]0.000232625981004069[/C][C]0.000116312990502035[/C][/ROW]
[ROW][C]161[/C][C]0.999984905853761[/C][C]3.0188292478395e-05[/C][C]1.50941462391975e-05[/C][/ROW]
[ROW][C]162[/C][C]0.999978060143107[/C][C]4.3879713785791e-05[/C][C]2.19398568928955e-05[/C][/ROW]
[ROW][C]163[/C][C]0.999968393343519[/C][C]6.3213312961894e-05[/C][C]3.1606656480947e-05[/C][/ROW]
[ROW][C]164[/C][C]0.999995457554647[/C][C]9.08489070515546e-06[/C][C]4.54244535257773e-06[/C][/ROW]
[ROW][C]165[/C][C]0.999993340256512[/C][C]1.33194869765294e-05[/C][C]6.65974348826469e-06[/C][/ROW]
[ROW][C]166[/C][C]0.999990677082369[/C][C]1.86458352628515e-05[/C][C]9.32291763142573e-06[/C][/ROW]
[ROW][C]167[/C][C]0.999987058641747[/C][C]2.58827165068674e-05[/C][C]1.29413582534337e-05[/C][/ROW]
[ROW][C]168[/C][C]0.999981750397828[/C][C]3.64992043448373e-05[/C][C]1.82496021724186e-05[/C][/ROW]
[ROW][C]169[/C][C]0.999973676364735[/C][C]5.26472705308401e-05[/C][C]2.632363526542e-05[/C][/ROW]
[ROW][C]170[/C][C]0.9999996812058[/C][C]6.37588399834097e-07[/C][C]3.18794199917049e-07[/C][/ROW]
[ROW][C]171[/C][C]0.999999996547499[/C][C]6.90500216075405e-09[/C][C]3.45250108037702e-09[/C][/ROW]
[ROW][C]172[/C][C]0.999999997363483[/C][C]5.2730337372086e-09[/C][C]2.6365168686043e-09[/C][/ROW]
[ROW][C]173[/C][C]0.99999999984762[/C][C]3.04760028353473e-10[/C][C]1.52380014176737e-10[/C][/ROW]
[ROW][C]174[/C][C]0.999999999805115[/C][C]3.8976999512648e-10[/C][C]1.9488499756324e-10[/C][/ROW]
[ROW][C]175[/C][C]0.999999999999513[/C][C]9.7412490879364e-13[/C][C]4.8706245439682e-13[/C][/ROW]
[ROW][C]176[/C][C]0.999999999999878[/C][C]2.43767012056539e-13[/C][C]1.21883506028269e-13[/C][/ROW]
[ROW][C]177[/C][C]0.999999999999758[/C][C]4.8308128327361e-13[/C][C]2.41540641636805e-13[/C][/ROW]
[ROW][C]178[/C][C]0.99999999999959[/C][C]8.20560791165074e-13[/C][C]4.10280395582537e-13[/C][/ROW]
[ROW][C]179[/C][C]0.999999999999842[/C][C]3.15384020219133e-13[/C][C]1.57692010109567e-13[/C][/ROW]
[ROW][C]180[/C][C]0.999999999999868[/C][C]2.64019170321169e-13[/C][C]1.32009585160585e-13[/C][/ROW]
[ROW][C]181[/C][C]0.99999999999974[/C][C]5.20465017118459e-13[/C][C]2.6023250855923e-13[/C][/ROW]
[ROW][C]182[/C][C]0.999999999999594[/C][C]8.11414571444112e-13[/C][C]4.05707285722056e-13[/C][/ROW]
[ROW][C]183[/C][C]0.999999999999199[/C][C]1.60279177040704e-12[/C][C]8.01395885203521e-13[/C][/ROW]
[ROW][C]184[/C][C]0.999999999999234[/C][C]1.53223411507913e-12[/C][C]7.66117057539565e-13[/C][/ROW]
[ROW][C]185[/C][C]0.999999999999451[/C][C]1.09734712907797e-12[/C][C]5.48673564538986e-13[/C][/ROW]
[ROW][C]186[/C][C]0.999999999999133[/C][C]1.73381970134038e-12[/C][C]8.66909850670192e-13[/C][/ROW]
[ROW][C]187[/C][C]0.99999999999829[/C][C]3.41985532594807e-12[/C][C]1.70992766297403e-12[/C][/ROW]
[ROW][C]188[/C][C]0.999999999996619[/C][C]6.76152405284063e-12[/C][C]3.38076202642032e-12[/C][/ROW]
[ROW][C]189[/C][C]0.999999999997181[/C][C]5.63848333820649e-12[/C][C]2.81924166910324e-12[/C][/ROW]
[ROW][C]190[/C][C]0.99999999999524[/C][C]9.52084182855431e-12[/C][C]4.76042091427715e-12[/C][/ROW]
[ROW][C]191[/C][C]0.999999999993749[/C][C]1.25018147888873e-11[/C][C]6.25090739444367e-12[/C][/ROW]
[ROW][C]192[/C][C]0.999999999989012[/C][C]2.19767260788608e-11[/C][C]1.09883630394304e-11[/C][/ROW]
[ROW][C]193[/C][C]0.999999999979215[/C][C]4.15709431237015e-11[/C][C]2.07854715618508e-11[/C][/ROW]
[ROW][C]194[/C][C]0.999999999962173[/C][C]7.5654376560008e-11[/C][C]3.7827188280004e-11[/C][/ROW]
[ROW][C]195[/C][C]0.999999999932954[/C][C]1.34092630241137e-10[/C][C]6.70463151205683e-11[/C][/ROW]
[ROW][C]196[/C][C]0.999999999872326[/C][C]2.55348788569662e-10[/C][C]1.27674394284831e-10[/C][/ROW]
[ROW][C]197[/C][C]0.999999999763508[/C][C]4.7298473798295e-10[/C][C]2.36492368991475e-10[/C][/ROW]
[ROW][C]198[/C][C]0.999999999614523[/C][C]7.70953561724477e-10[/C][C]3.85476780862238e-10[/C][/ROW]
[ROW][C]199[/C][C]0.999999999280774[/C][C]1.43845289862347e-09[/C][C]7.19226449311736e-10[/C][/ROW]
[ROW][C]200[/C][C]0.999999999295462[/C][C]1.40907507430614e-09[/C][C]7.04537537153072e-10[/C][/ROW]
[ROW][C]201[/C][C]0.999999998691167[/C][C]2.61766681171526e-09[/C][C]1.30883340585763e-09[/C][/ROW]
[ROW][C]202[/C][C]0.999999998448271[/C][C]3.10345857076924e-09[/C][C]1.55172928538462e-09[/C][/ROW]
[ROW][C]203[/C][C]0.9999999987656[/C][C]2.46879966840307e-09[/C][C]1.23439983420153e-09[/C][/ROW]
[ROW][C]204[/C][C]0.999999998770382[/C][C]2.45923590748661e-09[/C][C]1.22961795374331e-09[/C][/ROW]
[ROW][C]205[/C][C]0.999999997753078[/C][C]4.49384396407777e-09[/C][C]2.24692198203888e-09[/C][/ROW]
[ROW][C]206[/C][C]0.999999996584323[/C][C]6.83135308649474e-09[/C][C]3.41567654324737e-09[/C][/ROW]
[ROW][C]207[/C][C]0.999999993686243[/C][C]1.26275137006086e-08[/C][C]6.31375685030429e-09[/C][/ROW]
[ROW][C]208[/C][C]0.999999999926037[/C][C]1.47926324512634e-10[/C][C]7.3963162256317e-11[/C][/ROW]
[ROW][C]209[/C][C]0.999999999963429[/C][C]7.31410910605464e-11[/C][C]3.65705455302732e-11[/C][/ROW]
[ROW][C]210[/C][C]0.999999999949366[/C][C]1.01268802303209e-10[/C][C]5.06344011516044e-11[/C][/ROW]
[ROW][C]211[/C][C]0.999999999944918[/C][C]1.10164546033195e-10[/C][C]5.50822730165977e-11[/C][/ROW]
[ROW][C]212[/C][C]0.999999999958593[/C][C]8.28149331571892e-11[/C][C]4.14074665785946e-11[/C][/ROW]
[ROW][C]213[/C][C]0.999999999938353[/C][C]1.23294278682343e-10[/C][C]6.16471393411715e-11[/C][/ROW]
[ROW][C]214[/C][C]0.999999999879866[/C][C]2.40267630371035e-10[/C][C]1.20133815185518e-10[/C][/ROW]
[ROW][C]215[/C][C]0.999999999759952[/C][C]4.80096855560615e-10[/C][C]2.40048427780308e-10[/C][/ROW]
[ROW][C]216[/C][C]0.999999999578833[/C][C]8.42333558352032e-10[/C][C]4.21166779176016e-10[/C][/ROW]
[ROW][C]217[/C][C]0.999999999161198[/C][C]1.67760351177184e-09[/C][C]8.3880175588592e-10[/C][/ROW]
[ROW][C]218[/C][C]0.999999998320261[/C][C]3.35947761507536e-09[/C][C]1.67973880753768e-09[/C][/ROW]
[ROW][C]219[/C][C]0.999999997476368[/C][C]5.04726478172184e-09[/C][C]2.52363239086092e-09[/C][/ROW]
[ROW][C]220[/C][C]0.999999996630016[/C][C]6.73996776040151e-09[/C][C]3.36998388020076e-09[/C][/ROW]
[ROW][C]221[/C][C]0.999999994036899[/C][C]1.19262022745062e-08[/C][C]5.96310113725312e-09[/C][/ROW]
[ROW][C]222[/C][C]0.999999990570792[/C][C]1.88584156315656e-08[/C][C]9.42920781578279e-09[/C][/ROW]
[ROW][C]223[/C][C]0.999999982594409[/C][C]3.4811182221931e-08[/C][C]1.74055911109655e-08[/C][/ROW]
[ROW][C]224[/C][C]0.999999967503165[/C][C]6.49936707211834e-08[/C][C]3.24968353605917e-08[/C][/ROW]
[ROW][C]225[/C][C]0.999999955740354[/C][C]8.85192915024887e-08[/C][C]4.42596457512444e-08[/C][/ROW]
[ROW][C]226[/C][C]0.999999982215152[/C][C]3.55696951072641e-08[/C][C]1.7784847553632e-08[/C][/ROW]
[ROW][C]227[/C][C]0.999999974946257[/C][C]5.01074850868776e-08[/C][C]2.50537425434388e-08[/C][/ROW]
[ROW][C]228[/C][C]0.999999996240519[/C][C]7.51896220135729e-09[/C][C]3.75948110067864e-09[/C][/ROW]
[ROW][C]229[/C][C]0.999999993729625[/C][C]1.25407506252388e-08[/C][C]6.27037531261941e-09[/C][/ROW]
[ROW][C]230[/C][C]0.999999989070824[/C][C]2.1858352722187e-08[/C][C]1.09291763610935e-08[/C][/ROW]
[ROW][C]231[/C][C]0.999999982878064[/C][C]3.42438720289952e-08[/C][C]1.71219360144976e-08[/C][/ROW]
[ROW][C]232[/C][C]0.999999967017843[/C][C]6.59643135761897e-08[/C][C]3.29821567880949e-08[/C][/ROW]
[ROW][C]233[/C][C]0.999999935932142[/C][C]1.2813571563327e-07[/C][C]6.4067857816635e-08[/C][/ROW]
[ROW][C]234[/C][C]0.999999925682765[/C][C]1.48634470282664e-07[/C][C]7.43172351413318e-08[/C][/ROW]
[ROW][C]235[/C][C]0.999999941287089[/C][C]1.17425821508841e-07[/C][C]5.87129107544206e-08[/C][/ROW]
[ROW][C]236[/C][C]0.999999946420895[/C][C]1.07158210022305e-07[/C][C]5.35791050111523e-08[/C][/ROW]
[ROW][C]237[/C][C]0.999999998932216[/C][C]2.13556865881972e-09[/C][C]1.06778432940986e-09[/C][/ROW]
[ROW][C]238[/C][C]0.999999998884692[/C][C]2.23061591952727e-09[/C][C]1.11530795976364e-09[/C][/ROW]
[ROW][C]239[/C][C]0.999999997463625[/C][C]5.07275001125987e-09[/C][C]2.53637500562994e-09[/C][/ROW]
[ROW][C]240[/C][C]0.999999998053117[/C][C]3.89376602591476e-09[/C][C]1.94688301295738e-09[/C][/ROW]
[ROW][C]241[/C][C]0.999999995519983[/C][C]8.96003485101122e-09[/C][C]4.48001742550561e-09[/C][/ROW]
[ROW][C]242[/C][C]0.999999994858424[/C][C]1.02831526032867e-08[/C][C]5.14157630164336e-09[/C][/ROW]
[ROW][C]243[/C][C]0.999999994124317[/C][C]1.17513669320594e-08[/C][C]5.87568346602971e-09[/C][/ROW]
[ROW][C]244[/C][C]0.999999989343804[/C][C]2.13123923065199e-08[/C][C]1.06561961532599e-08[/C][/ROW]
[ROW][C]245[/C][C]0.999999977616668[/C][C]4.47666633266188e-08[/C][C]2.23833316633094e-08[/C][/ROW]
[ROW][C]246[/C][C]0.999999949476123[/C][C]1.01047754006029e-07[/C][C]5.05238770030144e-08[/C][/ROW]
[ROW][C]247[/C][C]0.999999910959793[/C][C]1.78080414321647e-07[/C][C]8.90402071608235e-08[/C][/ROW]
[ROW][C]248[/C][C]0.999999865871702[/C][C]2.68256596880924e-07[/C][C]1.34128298440462e-07[/C][/ROW]
[ROW][C]249[/C][C]0.999999779990002[/C][C]4.40019996647789e-07[/C][C]2.20009998323894e-07[/C][/ROW]
[ROW][C]250[/C][C]0.999999637721058[/C][C]7.24557884381977e-07[/C][C]3.62278942190989e-07[/C][/ROW]
[ROW][C]251[/C][C]0.999999974782488[/C][C]5.04350245881729e-08[/C][C]2.52175122940864e-08[/C][/ROW]
[ROW][C]252[/C][C]0.999999940313992[/C][C]1.19372016309772e-07[/C][C]5.96860081548862e-08[/C][/ROW]
[ROW][C]253[/C][C]0.999999883362451[/C][C]2.33275097200985e-07[/C][C]1.16637548600493e-07[/C][/ROW]
[ROW][C]254[/C][C]0.999999919983312[/C][C]1.60033376637188e-07[/C][C]8.00166883185941e-08[/C][/ROW]
[ROW][C]255[/C][C]0.999999854124034[/C][C]2.91751931736182e-07[/C][C]1.45875965868091e-07[/C][/ROW]
[ROW][C]256[/C][C]0.999999649529117[/C][C]7.00941766958589e-07[/C][C]3.50470883479295e-07[/C][/ROW]
[ROW][C]257[/C][C]0.999999744450565[/C][C]5.11098869192426e-07[/C][C]2.55549434596213e-07[/C][/ROW]
[ROW][C]258[/C][C]0.999999574103707[/C][C]8.51792586381274e-07[/C][C]4.25896293190637e-07[/C][/ROW]
[ROW][C]259[/C][C]0.999998957362826[/C][C]2.08527434812679e-06[/C][C]1.04263717406339e-06[/C][/ROW]
[ROW][C]260[/C][C]0.99999782337202[/C][C]4.35325596013871e-06[/C][C]2.17662798006935e-06[/C][/ROW]
[ROW][C]261[/C][C]0.99999836647552[/C][C]3.26704896075408e-06[/C][C]1.63352448037704e-06[/C][/ROW]
[ROW][C]262[/C][C]0.999996359304307[/C][C]7.28139138553184e-06[/C][C]3.64069569276592e-06[/C][/ROW]
[ROW][C]263[/C][C]0.999991197006673[/C][C]1.76059866535567e-05[/C][C]8.80299332677833e-06[/C][/ROW]
[ROW][C]264[/C][C]0.999993044886632[/C][C]1.39102267364515e-05[/C][C]6.95511336822574e-06[/C][/ROW]
[ROW][C]265[/C][C]0.99998619416889[/C][C]2.76116622190815e-05[/C][C]1.38058311095408e-05[/C][/ROW]
[ROW][C]266[/C][C]0.999967646790677[/C][C]6.47064186453823e-05[/C][C]3.23532093226912e-05[/C][/ROW]
[ROW][C]267[/C][C]0.999949967516762[/C][C]0.000100064966476252[/C][C]5.00324832381258e-05[/C][/ROW]
[ROW][C]268[/C][C]0.99990817704689[/C][C]0.000183645906219356[/C][C]9.18229531096779e-05[/C][/ROW]
[ROW][C]269[/C][C]0.999981325607091[/C][C]3.73487858172473e-05[/C][C]1.86743929086236e-05[/C][/ROW]
[ROW][C]270[/C][C]0.999958583900229[/C][C]8.28321995429542e-05[/C][C]4.14160997714771e-05[/C][/ROW]
[ROW][C]271[/C][C]0.999941453704481[/C][C]0.000117092591037208[/C][C]5.85462955186041e-05[/C][/ROW]
[ROW][C]272[/C][C]0.999827964926733[/C][C]0.000344070146534735[/C][C]0.000172035073267368[/C][/ROW]
[ROW][C]273[/C][C]0.999543715656237[/C][C]0.000912568687526857[/C][C]0.000456284343763428[/C][/ROW]
[ROW][C]274[/C][C]0.998918126697574[/C][C]0.00216374660485176[/C][C]0.00108187330242588[/C][/ROW]
[ROW][C]275[/C][C]0.997086115329053[/C][C]0.00582776934189322[/C][C]0.00291388467094661[/C][/ROW]
[ROW][C]276[/C][C]0.997724569354939[/C][C]0.00455086129012267[/C][C]0.00227543064506134[/C][/ROW]
[ROW][C]277[/C][C]0.9943870181769[/C][C]0.0112259636461994[/C][C]0.00561298182309968[/C][/ROW]
[ROW][C]278[/C][C]0.993106804752737[/C][C]0.0137863904945263[/C][C]0.00689319524726317[/C][/ROW]
[ROW][C]279[/C][C]0.982003956787381[/C][C]0.0359920864252378[/C][C]0.0179960432126189[/C][/ROW]
[ROW][C]280[/C][C]0.983748975991746[/C][C]0.0325020480165075[/C][C]0.0162510240082538[/C][/ROW]
[ROW][C]281[/C][C]0.969293877280059[/C][C]0.0614122454398828[/C][C]0.0307061227199414[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197679&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197679&T=5

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


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.9675373346326410.0649253307347170.0324626653673585
90.9403818366423980.1192363267152040.0596181633576019
100.9016625174715150.196674965056970.0983374825284849
110.8418442070629170.3163115858741660.158155792937083
120.7881175921068870.4237648157862260.211882407893113
130.7080062222183650.5839875555632710.291993777781635
140.6606809054900110.6786381890199770.339319094509989
150.6412276134188720.7175447731622550.358772386581128
160.588749798318460.8225004033630790.41125020168154
170.5065477755283970.9869044489432060.493452224471603
180.4615102164506750.9230204329013510.538489783549325
190.5175622502932120.9648754994135750.482437749706787
200.6880283931938660.6239432136122680.311971606806134
210.6315355199150790.7369289601698430.368464480084921
220.6081988568084830.7836022863830350.391801143191517
230.9576067662159830.08478646756803370.0423932337840168
240.9437780847674290.1124438304651410.0562219152325707
250.9602411835546120.07951763289077660.0397588164453883
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Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2260.824817518248175NOK
5% type I error level2350.857664233576642NOK
10% type I error level2440.89051094890511NOK

\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 & 226 & 0.824817518248175 & NOK \tabularnewline
5% type I error level & 235 & 0.857664233576642 & NOK \tabularnewline
10% type I error level & 244 & 0.89051094890511 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197679&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]226[/C][C]0.824817518248175[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]235[/C][C]0.857664233576642[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]244[/C][C]0.89051094890511[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197679&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197679&T=6

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2260.824817518248175NOK
5% type I error level2350.857664233576642NOK
10% type I error level2440.89051094890511NOK


Figures (Output of Computation)

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

Parameters (Session):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
R code (references can be found in the software module):
library(lattice)
library(lmtest)
n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
par1 <- as.numeric(par1)
x <- t(y)
k <- length(x[1,])
n <- length(x[,1])
x1 <- cbind(x[,par1], x[,1:k!=par1])
mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1])
colnames(x1) <- mycolnames #colnames(x)[par1]
x <- x1
if (par3 == 'First Differences'){
x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep='')))
for (i in 1:n-1) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
}
if (par2 == 'Include Monthly Dummies'){
x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep ='')))
for (i in 1:11){
x2[seq(i,n,12),i] <- 1
}
x <- cbind(x, x2)
}
if (par2 == 'Include Quarterly Dummies'){
x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep ='')))
for (i in 1:3){
x2[seq(i,n,4),i] <- 1
}
x <- cbind(x, x2)
}
k <- length(x[1,])
if (par3 == 'Linear Trend'){
x <- cbind(x, c(1:n))
colnames(x)[k+1] <- 't'
}
x
k <- length(x[1,])
df <- as.data.frame(x)
(mylm <- lm(df))
(mysum <- summary(mylm))
if (n > n25) {
kp3 <- k + 3
nmkm3 <- n - k - 3
gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
numgqtests <- 0
numsignificant1 <- 0
numsignificant5 <- 0
numsignificant10 <- 0
for (mypoint in kp3:nmkm3) {
j <- 0
numgqtests <- numgqtests + 1
for (myalt in c('greater', 'two.sided', 'less')) {
j <- j + 1
gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value
}
if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1
if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1
if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1
}
gqarr
}
bitmap(file='test0.png')
plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')
points(x[,1]-mysum$resid)
grid()
dev.off()
bitmap(file='test1.png')
plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
grid()
dev.off()
bitmap(file='test2.png')
hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
grid()
dev.off()
bitmap(file='test3.png')
densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
dev.off()
bitmap(file='test4.png')
qqnorm(mysum$resid, main='Residual Normal Q-Q Plot')
qqline(mysum$resid)
grid()
dev.off()
(myerror <- as.ts(mysum$resid))
bitmap(file='test5.png')
dum <- cbind(lag(myerror,k=1),myerror)
dum
dum1 <- dum[2:length(myerror),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
lines(lowess(z))
abline(lm(z))
grid()
dev.off()
bitmap(file='test6.png')
acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
grid()
dev.off()
bitmap(file='test7.png')
pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
grid()
dev.off()
bitmap(file='test8.png')
opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
plot(mylm, las = 1, sub='Residual Diagnostics')
par(opar)
dev.off()
if (n > n25) {
bitmap(file='test9.png')
plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
grid()
dev.off()
}
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
a<-table.row.end(a)
myeq <- colnames(x)[1]
myeq <- paste(myeq, '[t] = ', sep='')
for (i in 1:k){
if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, mysum$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')
}