FreeStatistics.org

Free Statistics

of Irreproducible Research!

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 computationThu, 18 Dec 2014 16:06:00 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/18/t1418918797fzbpbi3wtv4wmja.htm/, Retrieved Fri, 17 May 2024 19:11:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=271107, Retrieved Fri, 17 May 2024 19:11:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact83

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [TOT vs RFC Stats] [2014-12-18 16:06:00] [3bdd9332f2b4587684e97c4d9c2e2a73] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
12,9	149	96	68	86
7,4	152	75	55	62
12,2	139	70	39	70
12,8	148	88	32	71
7,4	158	114	62	108
6,7	128	69	33	64
12,6	224	176	52	119
14,8	159	114	62	97
13,3	105	121	77	129
11,1	159	110	76	153
8,2	167	158	41	78
11,4	165	116	48	80
6,4	159	181	63	99
10,6	119	77	30	68
12,0	176	141	78	147
6,3	54	35	19	40
11,3	91	80	31	57
11,9	163	152	66	120
9,3	124	97	35	71
9,6	137	99	42	84
10,0	121	84	45	68
6,4	153	68	21	55
13,8	148	101	25	137
10,8	221	107	44	79
13,8	188	88	69	116
11,7	149	112	54	101
10,9	244	171	74	111
16,1	148	137	80	189
13,4	92	77	42	66
9,9	150	66	61	81
11,5	153	93	41	63
8,3	94	105	46	69
11,7	156	131	39	71
6,1	146	89	63	70
9,0	132	102	34	64
9,7	161	161	51	143
10,8	105	120	42	85
10,3	97	127	31	86
10,4	151	77	39	55
12,7	131	108	20	69
9,3	166	85	49	120
11,8	157	168	53	96
5,9	111	48	31	60
11,4	145	152	39	95
13,0	162	75	54	100
10,8	163	107	49	68
12,3	59	62	34	57
11,3	187	121	46	105
11,8	109	124	55	85
7,9	90	72	42	103
12,7	105	40	50	57
12,3	83	58	13	51
11,6	116	97	37	69
6,7	42	88	25	41
10,9	148	126	30	49
12,1	155	104	28	50
13,3	125	148	45	93
10,1	116	146	35	58
5,7	128	80	28	54
14,3	138	97	41	74
8,0	49	25	6	15
13,3	96	99	45	69
9,3	164	118	73	107
12,5	162	58	17	65
7,6	99	63	40	58
15,9	202	139	64	107
9,2	186	50	37	70
9,1	66	60	25	53
11,1	183	152	65	136
13,0	214	142	100	126
14,5	188	94	28	95
12,2	104	66	35	69
12,3	177	127	56	136
11,4	126	67	29	58
8,8	76	90	43	59
14,6	99	75	59	118
7,3	157	96	52	110
12,6	139	128	50	82
NA	78	41	3	50
13,0	162	146	59	102
12,6	108	69	27	65
13,2	159	186	61	90
9,9	74	81	28	64
7,7	110	85	51	83
10,5	96	54	35	70
13,4	116	46	29	50
10,9	87	106	48	77
4,3	97	34	25	37
10,3	127	60	44	81
11,8	106	95	64	101
11,2	80	57	32	79
11,4	74	62	20	71
8,6	91	36	28	60
13,2	133	56	34	55
12,6	74	54	31	44
5,6	114	64	26	40
9,9	140	76	58	56
8,8	95	98	23	43
7,7	98	88	21	45
9,0	121	35	21	32
7,3	126	102	33	56
11,4	98	61	16	40
13,6	95	80	20	34
7,9	110	49	37	89
10,7	70	78	35	50
10,3	102	90	33	56
8,3	86	45	27	46
9,6	130	55	41	76
14,2	96	96	40	64
8,5	102	43	35	74
13,5	100	52	28	57
4,9	94	60	32	45
6,4	52	54	22	30
9,6	98	51	44	62
11,6	118	51	27	51
11,1	99	38	17	36
4,35	48	41	12	34
12,7	50	146	45	61
18,1	150	182	37	70
17,85	154	192	37	69
16,6	109	263	108	145
12,6	68	35	10	23
17,1	194	439	68	120
19,1	158	214	72	147
16,1	159	341	143	215
13,35	67	58	9	24
18,4	147	292	55	84
14,7	39	85	17	30
10,6	100	200	37	77
12,6	111	158	27	46
16,2	138	199	37	61
13,6	101	297	58	178
18,9	131	227	66	160
14,1	101	108	21	57
14,5	114	86	19	42
16,15	165	302	78	163
14,75	114	148	35	75
14,8	111	178	48	94
12,45	75	120	27	45
12,65	82	207	43	78
17,35	121	157	30	47
8,6	32	128	25	29
18,4	150	296	69	97
16,1	117	323	72	116
11,6	71	79	23	32
17,75	165	70	13	50
15,25	154	146	61	118
17,65	126	246	43	66
15,6	138	145	22	48
16,35	149	196	51	86
17,65	145	199	67	89
13,6	120	127	36	76
11,7	138	91	21	39
14,35	109	153	44	75
14,75	132	299	45	57
18,25	172	228	34	72
9,9	169	190	36	60
16	114	180	72	109
18,25	156	212	39	76
16,85	172	269	43	65
14,6	68	130	25	40
13,85	89	179	56	58
18,95	167	243	80	123
15,6	113	190	40	71
14,85	115	299	73	102
11,75	78	121	34	80
18,45	118	137	72	97
15,9	87	305	42	46
17,1	173	157	61	93
16,1	2	96	23	19
19,9	162	183	74	140
10,95	49	52	16	78
18,45	122	238	66	98
15,1	96	40	9	40
15	100	226	41	80
11,35	82	190	57	76
15,95	100	214	48	79
18,1	115	145	51	87
14,6	141	119	53	95
15,4	165	222	29	49
15,4	165	222	29	49
17,6	110	159	55	80
13,35	118	165	54	86
19,1	158	249	43	69
15,35	146	125	51	79
7,6	49	122	20	52
13,4	90	186	79	120
13,9	121	148	39	69
19,1	155	274	61	94
15,25	104	172	55	72
12,9	147	84	30	43
16,1	110	168	55	87
17,35	108	102	22	52
13,15	113	106	37	71
12,15	115	2	2	61
12,6	61	139	38	51
10,35	60	95	27	50
15,4	109	130	56	67
9,6	68	72	25	30
18,2	111	141	39	70
13,6	77	113	33	52
14,85	73	206	43	75
14,75	151	268	57	87
14,1	89	175	43	69
14,9	78	77	23	72
16,25	110	125	44	79
19,25	220	255	54	121
13,6	65	111	28	43
13,6	141	132	36	58
15,65	117	211	39	57
12,75	122	92	16	50
14,6	63	76	23	69
9,85	44	171	40	64
12,65	52	83	24	38
11,9	62	119	29	53
19,2	131	266	78	90
16,6	101	186	57	96
11,2	42	50	37	49
15,25	152	117	27	56
11,9	107	219	61	102
13,2	77	246	27	40
16,35	154	279	69	100
12,4	103	148	34	67
15,85	96	137	44	78
14,35	154	130	21	62
18,15	175	181	34	55
11,15	57	98	39	59
15,65	112	226	51	96
17,75	143	234	34	86
7,65	49	138	31	38
12,35	110	85	13	43
15,6	131	66	12	23
19,3	167	236	51	77
15,2	56	106	24	48
17,1	137	135	19	26
15,6	86	122	30	91
18,4	121	218	81	94
19,05	149	199	42	62
18,55	168	112	22	74
19,1	140	278	85	114
13,1	88	94	27	52
12,85	168	113	25	64
9,5	94	84	22	31
4,5	51	86	19	38
11,85	48	62	14	27
13,6	145	222	45	105
11,7	66	167	45	64
12,4	85	82	28	62
13,35	109	207	51	65
11,4	63	184	41	58
14,9	102	83	31	76
19,9	162	183	74	140
17,75	128	85	24	48
11,2	86	89	19	68
14,6	114	225	51	80
17,6	164	237	73	71
14,05	119	102	24	76
16,1	126	221	61	63
13,35	132	128	23	46
11,85	142	91	14	53
11,95	83	198	54	74
14,75	94	204	51	70
15,15	81	158	62	78
13,2	166	138	36	56
16,85	110	226	59	100
7,85	64	44	24	51
7,7	93	196	26	52
12,6	104	83	54	102
7,85	105	79	39	78
10,95	49	52	16	78
12,35	88	105	36	55
9,95	95	116	31	98
14,9	102	83	31	76
16,65	99	196	42	73
13,4	63	153	39	47
13,95	76	157	25	45
15,7	109	75	31	83
16,85	117	106	38	60
10,95	57	58	31	48
15,35	120	75	17	50
12,2	73	74	22	56
15,1	91	185	55	77
17,75	108	265	62	91
15,2	105	131	51	76
14,6	117	139	30	68
16,65	119	196	49	74
8,1	31	78	16	29

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 9 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271107&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]9 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271107&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271107&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Multiple Linear Regression - Estimated Regression Equation
Totaalscore[t] = + 8.30388 + 0.00994035Feedback[t] + 0.0292721Blogs[t] -0.0207988UrenCompendia[t] + 0.0061146UrenRFC[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Totaalscore[t] =  +  8.30388 +  0.00994035Feedback[t] +  0.0292721Blogs[t] -0.0207988UrenCompendia[t] +  0.0061146UrenRFC[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271107&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Totaalscore[t] =  +  8.30388 +  0.00994035Feedback[t] +  0.0292721Blogs[t] -0.0207988UrenCompendia[t] +  0.0061146UrenRFC[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271107&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271107&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
Totaalscore[t] = + 8.30388 + 0.00994035Feedback[t] + 0.0292721Blogs[t] -0.0207988UrenCompendia[t] + 0.0061146UrenRFC[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)8.303880.54810515.152.60305e-381.30152e-38
Feedback0.009940350.004788112.0760.03879870.0193993
Blogs0.02927210.0029066110.071.43595e-207.17976e-21
UrenCompendia-0.02079880.0156462-1.3290.1848210.0924107
UrenRFC0.00611460.009385120.65150.5152430.257622

\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) & 8.30388 & 0.548105 & 15.15 & 2.60305e-38 & 1.30152e-38 \tabularnewline
Feedback & 0.00994035 & 0.00478811 & 2.076 & 0.0387987 & 0.0193993 \tabularnewline
Blogs & 0.0292721 & 0.00290661 & 10.07 & 1.43595e-20 & 7.17976e-21 \tabularnewline
UrenCompendia & -0.0207988 & 0.0156462 & -1.329 & 0.184821 & 0.0924107 \tabularnewline
UrenRFC & 0.0061146 & 0.00938512 & 0.6515 & 0.515243 & 0.257622 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271107&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]8.30388[/C][C]0.548105[/C][C]15.15[/C][C]2.60305e-38[/C][C]1.30152e-38[/C][/ROW]
[ROW][C]Feedback[/C][C]0.00994035[/C][C]0.00478811[/C][C]2.076[/C][C]0.0387987[/C][C]0.0193993[/C][/ROW]
[ROW][C]Blogs[/C][C]0.0292721[/C][C]0.00290661[/C][C]10.07[/C][C]1.43595e-20[/C][C]7.17976e-21[/C][/ROW]
[ROW][C]UrenCompendia[/C][C]-0.0207988[/C][C]0.0156462[/C][C]-1.329[/C][C]0.184821[/C][C]0.0924107[/C][/ROW]
[ROW][C]UrenRFC[/C][C]0.0061146[/C][C]0.00938512[/C][C]0.6515[/C][C]0.515243[/C][C]0.257622[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271107&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271107&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)8.303880.54810515.152.60305e-381.30152e-38
Feedback0.009940350.004788112.0760.03879870.0193993
Blogs0.02927210.0029066110.071.43595e-207.17976e-21
UrenCompendia-0.02079880.0156462-1.3290.1848210.0924107
UrenRFC0.00611460.009385120.65150.5152430.257622






Multiple Linear Regression - Regression Statistics
Multiple R0.602446
R-squared0.362941
Adjusted R-squared0.353873
F-TEST (value)40.0224
F-TEST (DF numerator)4
F-TEST (DF denominator)281
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.75008
Sum Squared Residuals2125.19

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.602446 \tabularnewline
R-squared & 0.362941 \tabularnewline
Adjusted R-squared & 0.353873 \tabularnewline
F-TEST (value) & 40.0224 \tabularnewline
F-TEST (DF numerator) & 4 \tabularnewline
F-TEST (DF denominator) & 281 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.75008 \tabularnewline
Sum Squared Residuals & 2125.19 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271107&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.602446[/C][/ROW]
[ROW][C]R-squared[/C][C]0.362941[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.353873[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]40.0224[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]4[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]281[/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]2.75008[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]2125.19[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271107&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271107&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 R0.602446
R-squared0.362941
Adjusted R-squared0.353873
F-TEST (value)40.0224
F-TEST (DF numerator)4
F-TEST (DF denominator)281
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.75008
Sum Squared Residuals2125.19






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
112.911.70671.19335
27.411.2454-3.84539
312.211.35150.848495
412.812.11960.680427
57.412.5823-5.18233
66.711.301-4.60099
712.615.3285-2.72851
814.812.5252.27499
913.312.07681.22318
1011.112.4592-1.35915
118.214.2131-6.0131
1211.412.8304-1.43043
136.414.4777-8.07767
1410.611.5326-0.932564
151213.4573-1.45729
166.39.71459-3.41459
1711.311.2540.0460092
1811.913.7345-1.83455
199.312.0821-2.78206
209.612.2037-2.60372
211011.4454-1.44537
226.411.7148-5.31479
2313.813.04930.750734
2410.813.2007-2.40072
2513.812.02281.77721
2611.712.5579-0.857908
2710.914.8745-3.97446
2816.113.27712.82291
2913.411.00242.39764
309.910.9534-1.05345
3111.512.0795-0.579529
328.311.777-3.47701
3311.713.3122-1.6122
346.111.4781-5.37809
35912.2859-3.28594
369.714.4307-4.73073
3710.812.5065-1.70646
3810.312.8667-2.56675
3910.411.584-1.18398
4012.712.7734-0.0733861
419.312.1567-2.85672
4211.814.2669-2.46689
435.910.5344-4.63443
4411.413.9643-2.56433
451311.59791.40205
4610.812.4529-1.65292
4712.310.34661.95339
4811.313.3899-2.08994
4911.812.3929-0.592927
507.911.0624-3.16236
5112.79.827092.87291
5212.310.86821.43183
5311.611.9487-0.348708
546.711.0281-4.32805
5510.913.139-2.23899
5612.112.6123-0.512298
5713.313.5114-0.211408
5810.113.3574-3.25738
595.711.6658-5.96584
6014.312.11482.18523
6189.48969-1.48969
6213.311.64211.65795
639.312.5242-3.22416
6412.511.65590.844131
657.610.6548-3.05481
6615.913.70382.19621
679.211.2749-2.07486
689.110.5204-1.42037
6911.114.052-2.95199
701313.2783-0.278312
7114.512.92281.57723
7212.210.96361.23641
7312.313.4477-1.14773
7411.411.26910.130922
758.811.1602-2.36025
7614.610.97783.62222
777.312.2657-4.96571
7812.612.8939-0.293876
79NANA-0.584504
801311.63311.3669
8112.614.0106-1.41059
8213.214.5195-1.31948
839.913.5322-3.63222
847.77.73891-0.0389121
8510.57.606042.89396
8613.414.244-0.844016
8710.916.5696-5.66962
884.34.90277-0.602767
8910.39.924860.375141
9011.811.18510.614889
9111.210.67250.527502
9211.412.8468-1.44676
938.66.294332.30567
9413.210.84442.35556
9512.618.0143-5.41431
965.66.7563-1.1563
979.913.0014-3.10144
988.812.7924-3.99236
997.78.99008-1.29008
100913.8982-4.89818
1017.36.875440.424563
10211.49.18192.2181
10313.616.3063-2.7063
1047.98.0607-0.160702
10510.712.0083-1.30834
10610.312.1957-1.8957
1078.39.51805-1.21805
1089.67.027662.57234
10914.216.001-1.80102
1108.55.586232.91377
11113.519.2042-5.7042
1124.98.62734-3.72734
1136.47.03487-0.63487
1149.68.720.880003
11511.610.76690.833138
11611.116.6895-5.58949
1174.354.161670.188329
11812.79.380923.31908
11918.115.35732.74271
12017.8516.97630.873712
12116.613.9372.663
12212.617.9022-5.3022
12317.113.543.55998
12419.121.2066-2.10659
12516.113.37722.72277
12613.3512.63230.71774
12718.414.70953.69046
12814.718.9536-4.25361
12910.611.752-1.15196
13012.611.50421.09577
13116.220.4837-4.28374
13213.610.55643.04355
13318.917.1811.719
13414.111.41612.68388
13514.516.5086-2.00859
13616.1514.91.25001
13714.7514.14410.605875
13814.814.62560.17435
13912.4514.5609-2.11091
14012.659.065813.58419
14117.3520.7762-3.42616
1428.67.817480.782524
14318.420.4336-2.03357
14416.115.53940.560563
14511.65.878435.72157
14617.7516.06121.68878
14715.2513.86651.38348
14817.6515.8061.84397
14915.614.23741.36256
15016.3513.42112.92894
15117.6516.98020.669767
15213.614.0411-0.441106
15311.710.75950.940541
15414.3517.381-3.03095
15514.7512.92081.82925
15618.2523.5136-5.26362
1579.97.775042.12496
1581613.46382.53618
15918.2518.7909-0.540919
16016.8514.75982.09019
16114.614.36820.231807
16213.8511.06522.78477
16318.9517.9411.00897
16415.618.0548-2.45476
16514.8515.5032-0.653162
16611.755.882725.86728
16718.4520.0544-1.60441
16815.912.71923.18079
16917.111.77175.32831
17016.110.78795.31206
17119.919.40730.492734
17210.958.209872.74013
17318.4513.83644.61357
17415.115.6498-0.54983
1751517.6099-2.60987
17611.3510.44690.903142
17715.9511.01274.93729
17818.116.16741.9326
17914.615.3389-0.738897
18015.416.1389-0.738897
18115.411.19684.20318
18217.617.9595-0.35946
18313.3510.94082.40923
18419.116.58652.5135
18515.3520.0141-4.66414
1867.67.93377-0.33377
18713.412.94970.450311
18813.911.97121.92876
18919.117.51881.5812
19015.2514.21291.03707
19112.910.50312.39693
19216.110.97365.12642
19317.3516.39460.955435
19413.1510.8372.31304
19512.1512.05060.0994444
19612.613.6753-1.07531
19710.357.38772.9623
19815.416.5509-1.15088
1999.64.55155.0485
20018.216.60861.59137
20113.613.37380.226173
20214.8517.0962-2.24624
20314.7514.48870.26125
20414.110.49513.60494
20514.911.27423.62576
20616.2514.57191.67812
20719.2517.52981.72023
20813.613.17530.424722
20913.613.13070.469304
21015.6515.08260.567413
21112.759.248343.50166
21214.618.0562-3.45617
2139.858.183551.66645
21412.6512.8745-0.224472
21511.99.020452.87955
21619.216.75392.44606
21716.615.1151.48496
21811.28.97052.2295
21915.2518.4831-3.23305
22011.914.6532-2.75324
22113.214.028-0.827955
22216.3517.3125-0.962528
22312.49.380223.01978
22415.8515.08240.7676
22514.3511.17083.17916
22618.1518.2888-0.138756
22711.1511.0590.091041
22815.6514.29371.35628
22917.7522.5181-4.7681
2307.657.177990.472007
23112.358.179084.17092
23215.612.58223.01778
23319.315.85773.44229
23415.211.48123.71875
23517.114.16242.93759
23615.611.97813.62195
23718.414.46573.9343
23819.0513.74725.30276
23918.5516.21232.33766
24019.117.68661.4134
24113.113.403-0.302972
24212.8514.7791-1.92911
2439.516.1654-6.66542
2444.53.11981.3802
24511.8514.1997-2.34973
24613.615.2038-1.60377
24711.710.64591.05414
24812.413.8334-1.43342
24913.3515.7681-2.41809
25011.48.067333.33267
25114.99.587945.31206
25219.914.00875.8913
25317.7518.3346-0.584585
25411.212.0517-0.851734
25514.612.78741.81259
25617.615.98811.61192
25714.0513.0920.958007
25816.115.91570.184264
25913.3513.9121-0.562063
26011.8514.1542-2.30415
26111.9511.77710.172933
26214.7512.52152.22855
26315.1515.5372-0.387191
26413.211.74711.45285
26516.8519.0407-2.19071
2667.8514.8929-7.04286
2677.76.367821.33218
26812.616.0759-3.4759
2697.857.357270.492734
27010.9510.43970.510251
27112.3514.9982-2.64825
2729.956.617333.33267
27314.912.84812.05188
27416.6516.1350.515011
27513.412.86030.539744
27613.959.695544.25446
27715.710.99634.70373
27816.8516.1170.732999
27910.957.244283.70572
28015.3514.23051.11949
28112.211.05071.14932
28215.113.75141.34855
28317.7515.13622.61377
28415.213.92761.27245
28514.612.60751.99255
28616.6519.2898-2.6398
2878.1NANA

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 12.9 & 11.7067 & 1.19335 \tabularnewline
2 & 7.4 & 11.2454 & -3.84539 \tabularnewline
3 & 12.2 & 11.3515 & 0.848495 \tabularnewline
4 & 12.8 & 12.1196 & 0.680427 \tabularnewline
5 & 7.4 & 12.5823 & -5.18233 \tabularnewline
6 & 6.7 & 11.301 & -4.60099 \tabularnewline
7 & 12.6 & 15.3285 & -2.72851 \tabularnewline
8 & 14.8 & 12.525 & 2.27499 \tabularnewline
9 & 13.3 & 12.0768 & 1.22318 \tabularnewline
10 & 11.1 & 12.4592 & -1.35915 \tabularnewline
11 & 8.2 & 14.2131 & -6.0131 \tabularnewline
12 & 11.4 & 12.8304 & -1.43043 \tabularnewline
13 & 6.4 & 14.4777 & -8.07767 \tabularnewline
14 & 10.6 & 11.5326 & -0.932564 \tabularnewline
15 & 12 & 13.4573 & -1.45729 \tabularnewline
16 & 6.3 & 9.71459 & -3.41459 \tabularnewline
17 & 11.3 & 11.254 & 0.0460092 \tabularnewline
18 & 11.9 & 13.7345 & -1.83455 \tabularnewline
19 & 9.3 & 12.0821 & -2.78206 \tabularnewline
20 & 9.6 & 12.2037 & -2.60372 \tabularnewline
21 & 10 & 11.4454 & -1.44537 \tabularnewline
22 & 6.4 & 11.7148 & -5.31479 \tabularnewline
23 & 13.8 & 13.0493 & 0.750734 \tabularnewline
24 & 10.8 & 13.2007 & -2.40072 \tabularnewline
25 & 13.8 & 12.0228 & 1.77721 \tabularnewline
26 & 11.7 & 12.5579 & -0.857908 \tabularnewline
27 & 10.9 & 14.8745 & -3.97446 \tabularnewline
28 & 16.1 & 13.2771 & 2.82291 \tabularnewline
29 & 13.4 & 11.0024 & 2.39764 \tabularnewline
30 & 9.9 & 10.9534 & -1.05345 \tabularnewline
31 & 11.5 & 12.0795 & -0.579529 \tabularnewline
32 & 8.3 & 11.777 & -3.47701 \tabularnewline
33 & 11.7 & 13.3122 & -1.6122 \tabularnewline
34 & 6.1 & 11.4781 & -5.37809 \tabularnewline
35 & 9 & 12.2859 & -3.28594 \tabularnewline
36 & 9.7 & 14.4307 & -4.73073 \tabularnewline
37 & 10.8 & 12.5065 & -1.70646 \tabularnewline
38 & 10.3 & 12.8667 & -2.56675 \tabularnewline
39 & 10.4 & 11.584 & -1.18398 \tabularnewline
40 & 12.7 & 12.7734 & -0.0733861 \tabularnewline
41 & 9.3 & 12.1567 & -2.85672 \tabularnewline
42 & 11.8 & 14.2669 & -2.46689 \tabularnewline
43 & 5.9 & 10.5344 & -4.63443 \tabularnewline
44 & 11.4 & 13.9643 & -2.56433 \tabularnewline
45 & 13 & 11.5979 & 1.40205 \tabularnewline
46 & 10.8 & 12.4529 & -1.65292 \tabularnewline
47 & 12.3 & 10.3466 & 1.95339 \tabularnewline
48 & 11.3 & 13.3899 & -2.08994 \tabularnewline
49 & 11.8 & 12.3929 & -0.592927 \tabularnewline
50 & 7.9 & 11.0624 & -3.16236 \tabularnewline
51 & 12.7 & 9.82709 & 2.87291 \tabularnewline
52 & 12.3 & 10.8682 & 1.43183 \tabularnewline
53 & 11.6 & 11.9487 & -0.348708 \tabularnewline
54 & 6.7 & 11.0281 & -4.32805 \tabularnewline
55 & 10.9 & 13.139 & -2.23899 \tabularnewline
56 & 12.1 & 12.6123 & -0.512298 \tabularnewline
57 & 13.3 & 13.5114 & -0.211408 \tabularnewline
58 & 10.1 & 13.3574 & -3.25738 \tabularnewline
59 & 5.7 & 11.6658 & -5.96584 \tabularnewline
60 & 14.3 & 12.1148 & 2.18523 \tabularnewline
61 & 8 & 9.48969 & -1.48969 \tabularnewline
62 & 13.3 & 11.6421 & 1.65795 \tabularnewline
63 & 9.3 & 12.5242 & -3.22416 \tabularnewline
64 & 12.5 & 11.6559 & 0.844131 \tabularnewline
65 & 7.6 & 10.6548 & -3.05481 \tabularnewline
66 & 15.9 & 13.7038 & 2.19621 \tabularnewline
67 & 9.2 & 11.2749 & -2.07486 \tabularnewline
68 & 9.1 & 10.5204 & -1.42037 \tabularnewline
69 & 11.1 & 14.052 & -2.95199 \tabularnewline
70 & 13 & 13.2783 & -0.278312 \tabularnewline
71 & 14.5 & 12.9228 & 1.57723 \tabularnewline
72 & 12.2 & 10.9636 & 1.23641 \tabularnewline
73 & 12.3 & 13.4477 & -1.14773 \tabularnewline
74 & 11.4 & 11.2691 & 0.130922 \tabularnewline
75 & 8.8 & 11.1602 & -2.36025 \tabularnewline
76 & 14.6 & 10.9778 & 3.62222 \tabularnewline
77 & 7.3 & 12.2657 & -4.96571 \tabularnewline
78 & 12.6 & 12.8939 & -0.293876 \tabularnewline
79 & NA & NA & -0.584504 \tabularnewline
80 & 13 & 11.6331 & 1.3669 \tabularnewline
81 & 12.6 & 14.0106 & -1.41059 \tabularnewline
82 & 13.2 & 14.5195 & -1.31948 \tabularnewline
83 & 9.9 & 13.5322 & -3.63222 \tabularnewline
84 & 7.7 & 7.73891 & -0.0389121 \tabularnewline
85 & 10.5 & 7.60604 & 2.89396 \tabularnewline
86 & 13.4 & 14.244 & -0.844016 \tabularnewline
87 & 10.9 & 16.5696 & -5.66962 \tabularnewline
88 & 4.3 & 4.90277 & -0.602767 \tabularnewline
89 & 10.3 & 9.92486 & 0.375141 \tabularnewline
90 & 11.8 & 11.1851 & 0.614889 \tabularnewline
91 & 11.2 & 10.6725 & 0.527502 \tabularnewline
92 & 11.4 & 12.8468 & -1.44676 \tabularnewline
93 & 8.6 & 6.29433 & 2.30567 \tabularnewline
94 & 13.2 & 10.8444 & 2.35556 \tabularnewline
95 & 12.6 & 18.0143 & -5.41431 \tabularnewline
96 & 5.6 & 6.7563 & -1.1563 \tabularnewline
97 & 9.9 & 13.0014 & -3.10144 \tabularnewline
98 & 8.8 & 12.7924 & -3.99236 \tabularnewline
99 & 7.7 & 8.99008 & -1.29008 \tabularnewline
100 & 9 & 13.8982 & -4.89818 \tabularnewline
101 & 7.3 & 6.87544 & 0.424563 \tabularnewline
102 & 11.4 & 9.1819 & 2.2181 \tabularnewline
103 & 13.6 & 16.3063 & -2.7063 \tabularnewline
104 & 7.9 & 8.0607 & -0.160702 \tabularnewline
105 & 10.7 & 12.0083 & -1.30834 \tabularnewline
106 & 10.3 & 12.1957 & -1.8957 \tabularnewline
107 & 8.3 & 9.51805 & -1.21805 \tabularnewline
108 & 9.6 & 7.02766 & 2.57234 \tabularnewline
109 & 14.2 & 16.001 & -1.80102 \tabularnewline
110 & 8.5 & 5.58623 & 2.91377 \tabularnewline
111 & 13.5 & 19.2042 & -5.7042 \tabularnewline
112 & 4.9 & 8.62734 & -3.72734 \tabularnewline
113 & 6.4 & 7.03487 & -0.63487 \tabularnewline
114 & 9.6 & 8.72 & 0.880003 \tabularnewline
115 & 11.6 & 10.7669 & 0.833138 \tabularnewline
116 & 11.1 & 16.6895 & -5.58949 \tabularnewline
117 & 4.35 & 4.16167 & 0.188329 \tabularnewline
118 & 12.7 & 9.38092 & 3.31908 \tabularnewline
119 & 18.1 & 15.3573 & 2.74271 \tabularnewline
120 & 17.85 & 16.9763 & 0.873712 \tabularnewline
121 & 16.6 & 13.937 & 2.663 \tabularnewline
122 & 12.6 & 17.9022 & -5.3022 \tabularnewline
123 & 17.1 & 13.54 & 3.55998 \tabularnewline
124 & 19.1 & 21.2066 & -2.10659 \tabularnewline
125 & 16.1 & 13.3772 & 2.72277 \tabularnewline
126 & 13.35 & 12.6323 & 0.71774 \tabularnewline
127 & 18.4 & 14.7095 & 3.69046 \tabularnewline
128 & 14.7 & 18.9536 & -4.25361 \tabularnewline
129 & 10.6 & 11.752 & -1.15196 \tabularnewline
130 & 12.6 & 11.5042 & 1.09577 \tabularnewline
131 & 16.2 & 20.4837 & -4.28374 \tabularnewline
132 & 13.6 & 10.5564 & 3.04355 \tabularnewline
133 & 18.9 & 17.181 & 1.719 \tabularnewline
134 & 14.1 & 11.4161 & 2.68388 \tabularnewline
135 & 14.5 & 16.5086 & -2.00859 \tabularnewline
136 & 16.15 & 14.9 & 1.25001 \tabularnewline
137 & 14.75 & 14.1441 & 0.605875 \tabularnewline
138 & 14.8 & 14.6256 & 0.17435 \tabularnewline
139 & 12.45 & 14.5609 & -2.11091 \tabularnewline
140 & 12.65 & 9.06581 & 3.58419 \tabularnewline
141 & 17.35 & 20.7762 & -3.42616 \tabularnewline
142 & 8.6 & 7.81748 & 0.782524 \tabularnewline
143 & 18.4 & 20.4336 & -2.03357 \tabularnewline
144 & 16.1 & 15.5394 & 0.560563 \tabularnewline
145 & 11.6 & 5.87843 & 5.72157 \tabularnewline
146 & 17.75 & 16.0612 & 1.68878 \tabularnewline
147 & 15.25 & 13.8665 & 1.38348 \tabularnewline
148 & 17.65 & 15.806 & 1.84397 \tabularnewline
149 & 15.6 & 14.2374 & 1.36256 \tabularnewline
150 & 16.35 & 13.4211 & 2.92894 \tabularnewline
151 & 17.65 & 16.9802 & 0.669767 \tabularnewline
152 & 13.6 & 14.0411 & -0.441106 \tabularnewline
153 & 11.7 & 10.7595 & 0.940541 \tabularnewline
154 & 14.35 & 17.381 & -3.03095 \tabularnewline
155 & 14.75 & 12.9208 & 1.82925 \tabularnewline
156 & 18.25 & 23.5136 & -5.26362 \tabularnewline
157 & 9.9 & 7.77504 & 2.12496 \tabularnewline
158 & 16 & 13.4638 & 2.53618 \tabularnewline
159 & 18.25 & 18.7909 & -0.540919 \tabularnewline
160 & 16.85 & 14.7598 & 2.09019 \tabularnewline
161 & 14.6 & 14.3682 & 0.231807 \tabularnewline
162 & 13.85 & 11.0652 & 2.78477 \tabularnewline
163 & 18.95 & 17.941 & 1.00897 \tabularnewline
164 & 15.6 & 18.0548 & -2.45476 \tabularnewline
165 & 14.85 & 15.5032 & -0.653162 \tabularnewline
166 & 11.75 & 5.88272 & 5.86728 \tabularnewline
167 & 18.45 & 20.0544 & -1.60441 \tabularnewline
168 & 15.9 & 12.7192 & 3.18079 \tabularnewline
169 & 17.1 & 11.7717 & 5.32831 \tabularnewline
170 & 16.1 & 10.7879 & 5.31206 \tabularnewline
171 & 19.9 & 19.4073 & 0.492734 \tabularnewline
172 & 10.95 & 8.20987 & 2.74013 \tabularnewline
173 & 18.45 & 13.8364 & 4.61357 \tabularnewline
174 & 15.1 & 15.6498 & -0.54983 \tabularnewline
175 & 15 & 17.6099 & -2.60987 \tabularnewline
176 & 11.35 & 10.4469 & 0.903142 \tabularnewline
177 & 15.95 & 11.0127 & 4.93729 \tabularnewline
178 & 18.1 & 16.1674 & 1.9326 \tabularnewline
179 & 14.6 & 15.3389 & -0.738897 \tabularnewline
180 & 15.4 & 16.1389 & -0.738897 \tabularnewline
181 & 15.4 & 11.1968 & 4.20318 \tabularnewline
182 & 17.6 & 17.9595 & -0.35946 \tabularnewline
183 & 13.35 & 10.9408 & 2.40923 \tabularnewline
184 & 19.1 & 16.5865 & 2.5135 \tabularnewline
185 & 15.35 & 20.0141 & -4.66414 \tabularnewline
186 & 7.6 & 7.93377 & -0.33377 \tabularnewline
187 & 13.4 & 12.9497 & 0.450311 \tabularnewline
188 & 13.9 & 11.9712 & 1.92876 \tabularnewline
189 & 19.1 & 17.5188 & 1.5812 \tabularnewline
190 & 15.25 & 14.2129 & 1.03707 \tabularnewline
191 & 12.9 & 10.5031 & 2.39693 \tabularnewline
192 & 16.1 & 10.9736 & 5.12642 \tabularnewline
193 & 17.35 & 16.3946 & 0.955435 \tabularnewline
194 & 13.15 & 10.837 & 2.31304 \tabularnewline
195 & 12.15 & 12.0506 & 0.0994444 \tabularnewline
196 & 12.6 & 13.6753 & -1.07531 \tabularnewline
197 & 10.35 & 7.3877 & 2.9623 \tabularnewline
198 & 15.4 & 16.5509 & -1.15088 \tabularnewline
199 & 9.6 & 4.5515 & 5.0485 \tabularnewline
200 & 18.2 & 16.6086 & 1.59137 \tabularnewline
201 & 13.6 & 13.3738 & 0.226173 \tabularnewline
202 & 14.85 & 17.0962 & -2.24624 \tabularnewline
203 & 14.75 & 14.4887 & 0.26125 \tabularnewline
204 & 14.1 & 10.4951 & 3.60494 \tabularnewline
205 & 14.9 & 11.2742 & 3.62576 \tabularnewline
206 & 16.25 & 14.5719 & 1.67812 \tabularnewline
207 & 19.25 & 17.5298 & 1.72023 \tabularnewline
208 & 13.6 & 13.1753 & 0.424722 \tabularnewline
209 & 13.6 & 13.1307 & 0.469304 \tabularnewline
210 & 15.65 & 15.0826 & 0.567413 \tabularnewline
211 & 12.75 & 9.24834 & 3.50166 \tabularnewline
212 & 14.6 & 18.0562 & -3.45617 \tabularnewline
213 & 9.85 & 8.18355 & 1.66645 \tabularnewline
214 & 12.65 & 12.8745 & -0.224472 \tabularnewline
215 & 11.9 & 9.02045 & 2.87955 \tabularnewline
216 & 19.2 & 16.7539 & 2.44606 \tabularnewline
217 & 16.6 & 15.115 & 1.48496 \tabularnewline
218 & 11.2 & 8.9705 & 2.2295 \tabularnewline
219 & 15.25 & 18.4831 & -3.23305 \tabularnewline
220 & 11.9 & 14.6532 & -2.75324 \tabularnewline
221 & 13.2 & 14.028 & -0.827955 \tabularnewline
222 & 16.35 & 17.3125 & -0.962528 \tabularnewline
223 & 12.4 & 9.38022 & 3.01978 \tabularnewline
224 & 15.85 & 15.0824 & 0.7676 \tabularnewline
225 & 14.35 & 11.1708 & 3.17916 \tabularnewline
226 & 18.15 & 18.2888 & -0.138756 \tabularnewline
227 & 11.15 & 11.059 & 0.091041 \tabularnewline
228 & 15.65 & 14.2937 & 1.35628 \tabularnewline
229 & 17.75 & 22.5181 & -4.7681 \tabularnewline
230 & 7.65 & 7.17799 & 0.472007 \tabularnewline
231 & 12.35 & 8.17908 & 4.17092 \tabularnewline
232 & 15.6 & 12.5822 & 3.01778 \tabularnewline
233 & 19.3 & 15.8577 & 3.44229 \tabularnewline
234 & 15.2 & 11.4812 & 3.71875 \tabularnewline
235 & 17.1 & 14.1624 & 2.93759 \tabularnewline
236 & 15.6 & 11.9781 & 3.62195 \tabularnewline
237 & 18.4 & 14.4657 & 3.9343 \tabularnewline
238 & 19.05 & 13.7472 & 5.30276 \tabularnewline
239 & 18.55 & 16.2123 & 2.33766 \tabularnewline
240 & 19.1 & 17.6866 & 1.4134 \tabularnewline
241 & 13.1 & 13.403 & -0.302972 \tabularnewline
242 & 12.85 & 14.7791 & -1.92911 \tabularnewline
243 & 9.5 & 16.1654 & -6.66542 \tabularnewline
244 & 4.5 & 3.1198 & 1.3802 \tabularnewline
245 & 11.85 & 14.1997 & -2.34973 \tabularnewline
246 & 13.6 & 15.2038 & -1.60377 \tabularnewline
247 & 11.7 & 10.6459 & 1.05414 \tabularnewline
248 & 12.4 & 13.8334 & -1.43342 \tabularnewline
249 & 13.35 & 15.7681 & -2.41809 \tabularnewline
250 & 11.4 & 8.06733 & 3.33267 \tabularnewline
251 & 14.9 & 9.58794 & 5.31206 \tabularnewline
252 & 19.9 & 14.0087 & 5.8913 \tabularnewline
253 & 17.75 & 18.3346 & -0.584585 \tabularnewline
254 & 11.2 & 12.0517 & -0.851734 \tabularnewline
255 & 14.6 & 12.7874 & 1.81259 \tabularnewline
256 & 17.6 & 15.9881 & 1.61192 \tabularnewline
257 & 14.05 & 13.092 & 0.958007 \tabularnewline
258 & 16.1 & 15.9157 & 0.184264 \tabularnewline
259 & 13.35 & 13.9121 & -0.562063 \tabularnewline
260 & 11.85 & 14.1542 & -2.30415 \tabularnewline
261 & 11.95 & 11.7771 & 0.172933 \tabularnewline
262 & 14.75 & 12.5215 & 2.22855 \tabularnewline
263 & 15.15 & 15.5372 & -0.387191 \tabularnewline
264 & 13.2 & 11.7471 & 1.45285 \tabularnewline
265 & 16.85 & 19.0407 & -2.19071 \tabularnewline
266 & 7.85 & 14.8929 & -7.04286 \tabularnewline
267 & 7.7 & 6.36782 & 1.33218 \tabularnewline
268 & 12.6 & 16.0759 & -3.4759 \tabularnewline
269 & 7.85 & 7.35727 & 0.492734 \tabularnewline
270 & 10.95 & 10.4397 & 0.510251 \tabularnewline
271 & 12.35 & 14.9982 & -2.64825 \tabularnewline
272 & 9.95 & 6.61733 & 3.33267 \tabularnewline
273 & 14.9 & 12.8481 & 2.05188 \tabularnewline
274 & 16.65 & 16.135 & 0.515011 \tabularnewline
275 & 13.4 & 12.8603 & 0.539744 \tabularnewline
276 & 13.95 & 9.69554 & 4.25446 \tabularnewline
277 & 15.7 & 10.9963 & 4.70373 \tabularnewline
278 & 16.85 & 16.117 & 0.732999 \tabularnewline
279 & 10.95 & 7.24428 & 3.70572 \tabularnewline
280 & 15.35 & 14.2305 & 1.11949 \tabularnewline
281 & 12.2 & 11.0507 & 1.14932 \tabularnewline
282 & 15.1 & 13.7514 & 1.34855 \tabularnewline
283 & 17.75 & 15.1362 & 2.61377 \tabularnewline
284 & 15.2 & 13.9276 & 1.27245 \tabularnewline
285 & 14.6 & 12.6075 & 1.99255 \tabularnewline
286 & 16.65 & 19.2898 & -2.6398 \tabularnewline
287 & 8.1 & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271107&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]12.9[/C][C]11.7067[/C][C]1.19335[/C][/ROW]
[ROW][C]2[/C][C]7.4[/C][C]11.2454[/C][C]-3.84539[/C][/ROW]
[ROW][C]3[/C][C]12.2[/C][C]11.3515[/C][C]0.848495[/C][/ROW]
[ROW][C]4[/C][C]12.8[/C][C]12.1196[/C][C]0.680427[/C][/ROW]
[ROW][C]5[/C][C]7.4[/C][C]12.5823[/C][C]-5.18233[/C][/ROW]
[ROW][C]6[/C][C]6.7[/C][C]11.301[/C][C]-4.60099[/C][/ROW]
[ROW][C]7[/C][C]12.6[/C][C]15.3285[/C][C]-2.72851[/C][/ROW]
[ROW][C]8[/C][C]14.8[/C][C]12.525[/C][C]2.27499[/C][/ROW]
[ROW][C]9[/C][C]13.3[/C][C]12.0768[/C][C]1.22318[/C][/ROW]
[ROW][C]10[/C][C]11.1[/C][C]12.4592[/C][C]-1.35915[/C][/ROW]
[ROW][C]11[/C][C]8.2[/C][C]14.2131[/C][C]-6.0131[/C][/ROW]
[ROW][C]12[/C][C]11.4[/C][C]12.8304[/C][C]-1.43043[/C][/ROW]
[ROW][C]13[/C][C]6.4[/C][C]14.4777[/C][C]-8.07767[/C][/ROW]
[ROW][C]14[/C][C]10.6[/C][C]11.5326[/C][C]-0.932564[/C][/ROW]
[ROW][C]15[/C][C]12[/C][C]13.4573[/C][C]-1.45729[/C][/ROW]
[ROW][C]16[/C][C]6.3[/C][C]9.71459[/C][C]-3.41459[/C][/ROW]
[ROW][C]17[/C][C]11.3[/C][C]11.254[/C][C]0.0460092[/C][/ROW]
[ROW][C]18[/C][C]11.9[/C][C]13.7345[/C][C]-1.83455[/C][/ROW]
[ROW][C]19[/C][C]9.3[/C][C]12.0821[/C][C]-2.78206[/C][/ROW]
[ROW][C]20[/C][C]9.6[/C][C]12.2037[/C][C]-2.60372[/C][/ROW]
[ROW][C]21[/C][C]10[/C][C]11.4454[/C][C]-1.44537[/C][/ROW]
[ROW][C]22[/C][C]6.4[/C][C]11.7148[/C][C]-5.31479[/C][/ROW]
[ROW][C]23[/C][C]13.8[/C][C]13.0493[/C][C]0.750734[/C][/ROW]
[ROW][C]24[/C][C]10.8[/C][C]13.2007[/C][C]-2.40072[/C][/ROW]
[ROW][C]25[/C][C]13.8[/C][C]12.0228[/C][C]1.77721[/C][/ROW]
[ROW][C]26[/C][C]11.7[/C][C]12.5579[/C][C]-0.857908[/C][/ROW]
[ROW][C]27[/C][C]10.9[/C][C]14.8745[/C][C]-3.97446[/C][/ROW]
[ROW][C]28[/C][C]16.1[/C][C]13.2771[/C][C]2.82291[/C][/ROW]
[ROW][C]29[/C][C]13.4[/C][C]11.0024[/C][C]2.39764[/C][/ROW]
[ROW][C]30[/C][C]9.9[/C][C]10.9534[/C][C]-1.05345[/C][/ROW]
[ROW][C]31[/C][C]11.5[/C][C]12.0795[/C][C]-0.579529[/C][/ROW]
[ROW][C]32[/C][C]8.3[/C][C]11.777[/C][C]-3.47701[/C][/ROW]
[ROW][C]33[/C][C]11.7[/C][C]13.3122[/C][C]-1.6122[/C][/ROW]
[ROW][C]34[/C][C]6.1[/C][C]11.4781[/C][C]-5.37809[/C][/ROW]
[ROW][C]35[/C][C]9[/C][C]12.2859[/C][C]-3.28594[/C][/ROW]
[ROW][C]36[/C][C]9.7[/C][C]14.4307[/C][C]-4.73073[/C][/ROW]
[ROW][C]37[/C][C]10.8[/C][C]12.5065[/C][C]-1.70646[/C][/ROW]
[ROW][C]38[/C][C]10.3[/C][C]12.8667[/C][C]-2.56675[/C][/ROW]
[ROW][C]39[/C][C]10.4[/C][C]11.584[/C][C]-1.18398[/C][/ROW]
[ROW][C]40[/C][C]12.7[/C][C]12.7734[/C][C]-0.0733861[/C][/ROW]
[ROW][C]41[/C][C]9.3[/C][C]12.1567[/C][C]-2.85672[/C][/ROW]
[ROW][C]42[/C][C]11.8[/C][C]14.2669[/C][C]-2.46689[/C][/ROW]
[ROW][C]43[/C][C]5.9[/C][C]10.5344[/C][C]-4.63443[/C][/ROW]
[ROW][C]44[/C][C]11.4[/C][C]13.9643[/C][C]-2.56433[/C][/ROW]
[ROW][C]45[/C][C]13[/C][C]11.5979[/C][C]1.40205[/C][/ROW]
[ROW][C]46[/C][C]10.8[/C][C]12.4529[/C][C]-1.65292[/C][/ROW]
[ROW][C]47[/C][C]12.3[/C][C]10.3466[/C][C]1.95339[/C][/ROW]
[ROW][C]48[/C][C]11.3[/C][C]13.3899[/C][C]-2.08994[/C][/ROW]
[ROW][C]49[/C][C]11.8[/C][C]12.3929[/C][C]-0.592927[/C][/ROW]
[ROW][C]50[/C][C]7.9[/C][C]11.0624[/C][C]-3.16236[/C][/ROW]
[ROW][C]51[/C][C]12.7[/C][C]9.82709[/C][C]2.87291[/C][/ROW]
[ROW][C]52[/C][C]12.3[/C][C]10.8682[/C][C]1.43183[/C][/ROW]
[ROW][C]53[/C][C]11.6[/C][C]11.9487[/C][C]-0.348708[/C][/ROW]
[ROW][C]54[/C][C]6.7[/C][C]11.0281[/C][C]-4.32805[/C][/ROW]
[ROW][C]55[/C][C]10.9[/C][C]13.139[/C][C]-2.23899[/C][/ROW]
[ROW][C]56[/C][C]12.1[/C][C]12.6123[/C][C]-0.512298[/C][/ROW]
[ROW][C]57[/C][C]13.3[/C][C]13.5114[/C][C]-0.211408[/C][/ROW]
[ROW][C]58[/C][C]10.1[/C][C]13.3574[/C][C]-3.25738[/C][/ROW]
[ROW][C]59[/C][C]5.7[/C][C]11.6658[/C][C]-5.96584[/C][/ROW]
[ROW][C]60[/C][C]14.3[/C][C]12.1148[/C][C]2.18523[/C][/ROW]
[ROW][C]61[/C][C]8[/C][C]9.48969[/C][C]-1.48969[/C][/ROW]
[ROW][C]62[/C][C]13.3[/C][C]11.6421[/C][C]1.65795[/C][/ROW]
[ROW][C]63[/C][C]9.3[/C][C]12.5242[/C][C]-3.22416[/C][/ROW]
[ROW][C]64[/C][C]12.5[/C][C]11.6559[/C][C]0.844131[/C][/ROW]
[ROW][C]65[/C][C]7.6[/C][C]10.6548[/C][C]-3.05481[/C][/ROW]
[ROW][C]66[/C][C]15.9[/C][C]13.7038[/C][C]2.19621[/C][/ROW]
[ROW][C]67[/C][C]9.2[/C][C]11.2749[/C][C]-2.07486[/C][/ROW]
[ROW][C]68[/C][C]9.1[/C][C]10.5204[/C][C]-1.42037[/C][/ROW]
[ROW][C]69[/C][C]11.1[/C][C]14.052[/C][C]-2.95199[/C][/ROW]
[ROW][C]70[/C][C]13[/C][C]13.2783[/C][C]-0.278312[/C][/ROW]
[ROW][C]71[/C][C]14.5[/C][C]12.9228[/C][C]1.57723[/C][/ROW]
[ROW][C]72[/C][C]12.2[/C][C]10.9636[/C][C]1.23641[/C][/ROW]
[ROW][C]73[/C][C]12.3[/C][C]13.4477[/C][C]-1.14773[/C][/ROW]
[ROW][C]74[/C][C]11.4[/C][C]11.2691[/C][C]0.130922[/C][/ROW]
[ROW][C]75[/C][C]8.8[/C][C]11.1602[/C][C]-2.36025[/C][/ROW]
[ROW][C]76[/C][C]14.6[/C][C]10.9778[/C][C]3.62222[/C][/ROW]
[ROW][C]77[/C][C]7.3[/C][C]12.2657[/C][C]-4.96571[/C][/ROW]
[ROW][C]78[/C][C]12.6[/C][C]12.8939[/C][C]-0.293876[/C][/ROW]
[ROW][C]79[/C][C]NA[/C][C]NA[/C][C]-0.584504[/C][/ROW]
[ROW][C]80[/C][C]13[/C][C]11.6331[/C][C]1.3669[/C][/ROW]
[ROW][C]81[/C][C]12.6[/C][C]14.0106[/C][C]-1.41059[/C][/ROW]
[ROW][C]82[/C][C]13.2[/C][C]14.5195[/C][C]-1.31948[/C][/ROW]
[ROW][C]83[/C][C]9.9[/C][C]13.5322[/C][C]-3.63222[/C][/ROW]
[ROW][C]84[/C][C]7.7[/C][C]7.73891[/C][C]-0.0389121[/C][/ROW]
[ROW][C]85[/C][C]10.5[/C][C]7.60604[/C][C]2.89396[/C][/ROW]
[ROW][C]86[/C][C]13.4[/C][C]14.244[/C][C]-0.844016[/C][/ROW]
[ROW][C]87[/C][C]10.9[/C][C]16.5696[/C][C]-5.66962[/C][/ROW]
[ROW][C]88[/C][C]4.3[/C][C]4.90277[/C][C]-0.602767[/C][/ROW]
[ROW][C]89[/C][C]10.3[/C][C]9.92486[/C][C]0.375141[/C][/ROW]
[ROW][C]90[/C][C]11.8[/C][C]11.1851[/C][C]0.614889[/C][/ROW]
[ROW][C]91[/C][C]11.2[/C][C]10.6725[/C][C]0.527502[/C][/ROW]
[ROW][C]92[/C][C]11.4[/C][C]12.8468[/C][C]-1.44676[/C][/ROW]
[ROW][C]93[/C][C]8.6[/C][C]6.29433[/C][C]2.30567[/C][/ROW]
[ROW][C]94[/C][C]13.2[/C][C]10.8444[/C][C]2.35556[/C][/ROW]
[ROW][C]95[/C][C]12.6[/C][C]18.0143[/C][C]-5.41431[/C][/ROW]
[ROW][C]96[/C][C]5.6[/C][C]6.7563[/C][C]-1.1563[/C][/ROW]
[ROW][C]97[/C][C]9.9[/C][C]13.0014[/C][C]-3.10144[/C][/ROW]
[ROW][C]98[/C][C]8.8[/C][C]12.7924[/C][C]-3.99236[/C][/ROW]
[ROW][C]99[/C][C]7.7[/C][C]8.99008[/C][C]-1.29008[/C][/ROW]
[ROW][C]100[/C][C]9[/C][C]13.8982[/C][C]-4.89818[/C][/ROW]
[ROW][C]101[/C][C]7.3[/C][C]6.87544[/C][C]0.424563[/C][/ROW]
[ROW][C]102[/C][C]11.4[/C][C]9.1819[/C][C]2.2181[/C][/ROW]
[ROW][C]103[/C][C]13.6[/C][C]16.3063[/C][C]-2.7063[/C][/ROW]
[ROW][C]104[/C][C]7.9[/C][C]8.0607[/C][C]-0.160702[/C][/ROW]
[ROW][C]105[/C][C]10.7[/C][C]12.0083[/C][C]-1.30834[/C][/ROW]
[ROW][C]106[/C][C]10.3[/C][C]12.1957[/C][C]-1.8957[/C][/ROW]
[ROW][C]107[/C][C]8.3[/C][C]9.51805[/C][C]-1.21805[/C][/ROW]
[ROW][C]108[/C][C]9.6[/C][C]7.02766[/C][C]2.57234[/C][/ROW]
[ROW][C]109[/C][C]14.2[/C][C]16.001[/C][C]-1.80102[/C][/ROW]
[ROW][C]110[/C][C]8.5[/C][C]5.58623[/C][C]2.91377[/C][/ROW]
[ROW][C]111[/C][C]13.5[/C][C]19.2042[/C][C]-5.7042[/C][/ROW]
[ROW][C]112[/C][C]4.9[/C][C]8.62734[/C][C]-3.72734[/C][/ROW]
[ROW][C]113[/C][C]6.4[/C][C]7.03487[/C][C]-0.63487[/C][/ROW]
[ROW][C]114[/C][C]9.6[/C][C]8.72[/C][C]0.880003[/C][/ROW]
[ROW][C]115[/C][C]11.6[/C][C]10.7669[/C][C]0.833138[/C][/ROW]
[ROW][C]116[/C][C]11.1[/C][C]16.6895[/C][C]-5.58949[/C][/ROW]
[ROW][C]117[/C][C]4.35[/C][C]4.16167[/C][C]0.188329[/C][/ROW]
[ROW][C]118[/C][C]12.7[/C][C]9.38092[/C][C]3.31908[/C][/ROW]
[ROW][C]119[/C][C]18.1[/C][C]15.3573[/C][C]2.74271[/C][/ROW]
[ROW][C]120[/C][C]17.85[/C][C]16.9763[/C][C]0.873712[/C][/ROW]
[ROW][C]121[/C][C]16.6[/C][C]13.937[/C][C]2.663[/C][/ROW]
[ROW][C]122[/C][C]12.6[/C][C]17.9022[/C][C]-5.3022[/C][/ROW]
[ROW][C]123[/C][C]17.1[/C][C]13.54[/C][C]3.55998[/C][/ROW]
[ROW][C]124[/C][C]19.1[/C][C]21.2066[/C][C]-2.10659[/C][/ROW]
[ROW][C]125[/C][C]16.1[/C][C]13.3772[/C][C]2.72277[/C][/ROW]
[ROW][C]126[/C][C]13.35[/C][C]12.6323[/C][C]0.71774[/C][/ROW]
[ROW][C]127[/C][C]18.4[/C][C]14.7095[/C][C]3.69046[/C][/ROW]
[ROW][C]128[/C][C]14.7[/C][C]18.9536[/C][C]-4.25361[/C][/ROW]
[ROW][C]129[/C][C]10.6[/C][C]11.752[/C][C]-1.15196[/C][/ROW]
[ROW][C]130[/C][C]12.6[/C][C]11.5042[/C][C]1.09577[/C][/ROW]
[ROW][C]131[/C][C]16.2[/C][C]20.4837[/C][C]-4.28374[/C][/ROW]
[ROW][C]132[/C][C]13.6[/C][C]10.5564[/C][C]3.04355[/C][/ROW]
[ROW][C]133[/C][C]18.9[/C][C]17.181[/C][C]1.719[/C][/ROW]
[ROW][C]134[/C][C]14.1[/C][C]11.4161[/C][C]2.68388[/C][/ROW]
[ROW][C]135[/C][C]14.5[/C][C]16.5086[/C][C]-2.00859[/C][/ROW]
[ROW][C]136[/C][C]16.15[/C][C]14.9[/C][C]1.25001[/C][/ROW]
[ROW][C]137[/C][C]14.75[/C][C]14.1441[/C][C]0.605875[/C][/ROW]
[ROW][C]138[/C][C]14.8[/C][C]14.6256[/C][C]0.17435[/C][/ROW]
[ROW][C]139[/C][C]12.45[/C][C]14.5609[/C][C]-2.11091[/C][/ROW]
[ROW][C]140[/C][C]12.65[/C][C]9.06581[/C][C]3.58419[/C][/ROW]
[ROW][C]141[/C][C]17.35[/C][C]20.7762[/C][C]-3.42616[/C][/ROW]
[ROW][C]142[/C][C]8.6[/C][C]7.81748[/C][C]0.782524[/C][/ROW]
[ROW][C]143[/C][C]18.4[/C][C]20.4336[/C][C]-2.03357[/C][/ROW]
[ROW][C]144[/C][C]16.1[/C][C]15.5394[/C][C]0.560563[/C][/ROW]
[ROW][C]145[/C][C]11.6[/C][C]5.87843[/C][C]5.72157[/C][/ROW]
[ROW][C]146[/C][C]17.75[/C][C]16.0612[/C][C]1.68878[/C][/ROW]
[ROW][C]147[/C][C]15.25[/C][C]13.8665[/C][C]1.38348[/C][/ROW]
[ROW][C]148[/C][C]17.65[/C][C]15.806[/C][C]1.84397[/C][/ROW]
[ROW][C]149[/C][C]15.6[/C][C]14.2374[/C][C]1.36256[/C][/ROW]
[ROW][C]150[/C][C]16.35[/C][C]13.4211[/C][C]2.92894[/C][/ROW]
[ROW][C]151[/C][C]17.65[/C][C]16.9802[/C][C]0.669767[/C][/ROW]
[ROW][C]152[/C][C]13.6[/C][C]14.0411[/C][C]-0.441106[/C][/ROW]
[ROW][C]153[/C][C]11.7[/C][C]10.7595[/C][C]0.940541[/C][/ROW]
[ROW][C]154[/C][C]14.35[/C][C]17.381[/C][C]-3.03095[/C][/ROW]
[ROW][C]155[/C][C]14.75[/C][C]12.9208[/C][C]1.82925[/C][/ROW]
[ROW][C]156[/C][C]18.25[/C][C]23.5136[/C][C]-5.26362[/C][/ROW]
[ROW][C]157[/C][C]9.9[/C][C]7.77504[/C][C]2.12496[/C][/ROW]
[ROW][C]158[/C][C]16[/C][C]13.4638[/C][C]2.53618[/C][/ROW]
[ROW][C]159[/C][C]18.25[/C][C]18.7909[/C][C]-0.540919[/C][/ROW]
[ROW][C]160[/C][C]16.85[/C][C]14.7598[/C][C]2.09019[/C][/ROW]
[ROW][C]161[/C][C]14.6[/C][C]14.3682[/C][C]0.231807[/C][/ROW]
[ROW][C]162[/C][C]13.85[/C][C]11.0652[/C][C]2.78477[/C][/ROW]
[ROW][C]163[/C][C]18.95[/C][C]17.941[/C][C]1.00897[/C][/ROW]
[ROW][C]164[/C][C]15.6[/C][C]18.0548[/C][C]-2.45476[/C][/ROW]
[ROW][C]165[/C][C]14.85[/C][C]15.5032[/C][C]-0.653162[/C][/ROW]
[ROW][C]166[/C][C]11.75[/C][C]5.88272[/C][C]5.86728[/C][/ROW]
[ROW][C]167[/C][C]18.45[/C][C]20.0544[/C][C]-1.60441[/C][/ROW]
[ROW][C]168[/C][C]15.9[/C][C]12.7192[/C][C]3.18079[/C][/ROW]
[ROW][C]169[/C][C]17.1[/C][C]11.7717[/C][C]5.32831[/C][/ROW]
[ROW][C]170[/C][C]16.1[/C][C]10.7879[/C][C]5.31206[/C][/ROW]
[ROW][C]171[/C][C]19.9[/C][C]19.4073[/C][C]0.492734[/C][/ROW]
[ROW][C]172[/C][C]10.95[/C][C]8.20987[/C][C]2.74013[/C][/ROW]
[ROW][C]173[/C][C]18.45[/C][C]13.8364[/C][C]4.61357[/C][/ROW]
[ROW][C]174[/C][C]15.1[/C][C]15.6498[/C][C]-0.54983[/C][/ROW]
[ROW][C]175[/C][C]15[/C][C]17.6099[/C][C]-2.60987[/C][/ROW]
[ROW][C]176[/C][C]11.35[/C][C]10.4469[/C][C]0.903142[/C][/ROW]
[ROW][C]177[/C][C]15.95[/C][C]11.0127[/C][C]4.93729[/C][/ROW]
[ROW][C]178[/C][C]18.1[/C][C]16.1674[/C][C]1.9326[/C][/ROW]
[ROW][C]179[/C][C]14.6[/C][C]15.3389[/C][C]-0.738897[/C][/ROW]
[ROW][C]180[/C][C]15.4[/C][C]16.1389[/C][C]-0.738897[/C][/ROW]
[ROW][C]181[/C][C]15.4[/C][C]11.1968[/C][C]4.20318[/C][/ROW]
[ROW][C]182[/C][C]17.6[/C][C]17.9595[/C][C]-0.35946[/C][/ROW]
[ROW][C]183[/C][C]13.35[/C][C]10.9408[/C][C]2.40923[/C][/ROW]
[ROW][C]184[/C][C]19.1[/C][C]16.5865[/C][C]2.5135[/C][/ROW]
[ROW][C]185[/C][C]15.35[/C][C]20.0141[/C][C]-4.66414[/C][/ROW]
[ROW][C]186[/C][C]7.6[/C][C]7.93377[/C][C]-0.33377[/C][/ROW]
[ROW][C]187[/C][C]13.4[/C][C]12.9497[/C][C]0.450311[/C][/ROW]
[ROW][C]188[/C][C]13.9[/C][C]11.9712[/C][C]1.92876[/C][/ROW]
[ROW][C]189[/C][C]19.1[/C][C]17.5188[/C][C]1.5812[/C][/ROW]
[ROW][C]190[/C][C]15.25[/C][C]14.2129[/C][C]1.03707[/C][/ROW]
[ROW][C]191[/C][C]12.9[/C][C]10.5031[/C][C]2.39693[/C][/ROW]
[ROW][C]192[/C][C]16.1[/C][C]10.9736[/C][C]5.12642[/C][/ROW]
[ROW][C]193[/C][C]17.35[/C][C]16.3946[/C][C]0.955435[/C][/ROW]
[ROW][C]194[/C][C]13.15[/C][C]10.837[/C][C]2.31304[/C][/ROW]
[ROW][C]195[/C][C]12.15[/C][C]12.0506[/C][C]0.0994444[/C][/ROW]
[ROW][C]196[/C][C]12.6[/C][C]13.6753[/C][C]-1.07531[/C][/ROW]
[ROW][C]197[/C][C]10.35[/C][C]7.3877[/C][C]2.9623[/C][/ROW]
[ROW][C]198[/C][C]15.4[/C][C]16.5509[/C][C]-1.15088[/C][/ROW]
[ROW][C]199[/C][C]9.6[/C][C]4.5515[/C][C]5.0485[/C][/ROW]
[ROW][C]200[/C][C]18.2[/C][C]16.6086[/C][C]1.59137[/C][/ROW]
[ROW][C]201[/C][C]13.6[/C][C]13.3738[/C][C]0.226173[/C][/ROW]
[ROW][C]202[/C][C]14.85[/C][C]17.0962[/C][C]-2.24624[/C][/ROW]
[ROW][C]203[/C][C]14.75[/C][C]14.4887[/C][C]0.26125[/C][/ROW]
[ROW][C]204[/C][C]14.1[/C][C]10.4951[/C][C]3.60494[/C][/ROW]
[ROW][C]205[/C][C]14.9[/C][C]11.2742[/C][C]3.62576[/C][/ROW]
[ROW][C]206[/C][C]16.25[/C][C]14.5719[/C][C]1.67812[/C][/ROW]
[ROW][C]207[/C][C]19.25[/C][C]17.5298[/C][C]1.72023[/C][/ROW]
[ROW][C]208[/C][C]13.6[/C][C]13.1753[/C][C]0.424722[/C][/ROW]
[ROW][C]209[/C][C]13.6[/C][C]13.1307[/C][C]0.469304[/C][/ROW]
[ROW][C]210[/C][C]15.65[/C][C]15.0826[/C][C]0.567413[/C][/ROW]
[ROW][C]211[/C][C]12.75[/C][C]9.24834[/C][C]3.50166[/C][/ROW]
[ROW][C]212[/C][C]14.6[/C][C]18.0562[/C][C]-3.45617[/C][/ROW]
[ROW][C]213[/C][C]9.85[/C][C]8.18355[/C][C]1.66645[/C][/ROW]
[ROW][C]214[/C][C]12.65[/C][C]12.8745[/C][C]-0.224472[/C][/ROW]
[ROW][C]215[/C][C]11.9[/C][C]9.02045[/C][C]2.87955[/C][/ROW]
[ROW][C]216[/C][C]19.2[/C][C]16.7539[/C][C]2.44606[/C][/ROW]
[ROW][C]217[/C][C]16.6[/C][C]15.115[/C][C]1.48496[/C][/ROW]
[ROW][C]218[/C][C]11.2[/C][C]8.9705[/C][C]2.2295[/C][/ROW]
[ROW][C]219[/C][C]15.25[/C][C]18.4831[/C][C]-3.23305[/C][/ROW]
[ROW][C]220[/C][C]11.9[/C][C]14.6532[/C][C]-2.75324[/C][/ROW]
[ROW][C]221[/C][C]13.2[/C][C]14.028[/C][C]-0.827955[/C][/ROW]
[ROW][C]222[/C][C]16.35[/C][C]17.3125[/C][C]-0.962528[/C][/ROW]
[ROW][C]223[/C][C]12.4[/C][C]9.38022[/C][C]3.01978[/C][/ROW]
[ROW][C]224[/C][C]15.85[/C][C]15.0824[/C][C]0.7676[/C][/ROW]
[ROW][C]225[/C][C]14.35[/C][C]11.1708[/C][C]3.17916[/C][/ROW]
[ROW][C]226[/C][C]18.15[/C][C]18.2888[/C][C]-0.138756[/C][/ROW]
[ROW][C]227[/C][C]11.15[/C][C]11.059[/C][C]0.091041[/C][/ROW]
[ROW][C]228[/C][C]15.65[/C][C]14.2937[/C][C]1.35628[/C][/ROW]
[ROW][C]229[/C][C]17.75[/C][C]22.5181[/C][C]-4.7681[/C][/ROW]
[ROW][C]230[/C][C]7.65[/C][C]7.17799[/C][C]0.472007[/C][/ROW]
[ROW][C]231[/C][C]12.35[/C][C]8.17908[/C][C]4.17092[/C][/ROW]
[ROW][C]232[/C][C]15.6[/C][C]12.5822[/C][C]3.01778[/C][/ROW]
[ROW][C]233[/C][C]19.3[/C][C]15.8577[/C][C]3.44229[/C][/ROW]
[ROW][C]234[/C][C]15.2[/C][C]11.4812[/C][C]3.71875[/C][/ROW]
[ROW][C]235[/C][C]17.1[/C][C]14.1624[/C][C]2.93759[/C][/ROW]
[ROW][C]236[/C][C]15.6[/C][C]11.9781[/C][C]3.62195[/C][/ROW]
[ROW][C]237[/C][C]18.4[/C][C]14.4657[/C][C]3.9343[/C][/ROW]
[ROW][C]238[/C][C]19.05[/C][C]13.7472[/C][C]5.30276[/C][/ROW]
[ROW][C]239[/C][C]18.55[/C][C]16.2123[/C][C]2.33766[/C][/ROW]
[ROW][C]240[/C][C]19.1[/C][C]17.6866[/C][C]1.4134[/C][/ROW]
[ROW][C]241[/C][C]13.1[/C][C]13.403[/C][C]-0.302972[/C][/ROW]
[ROW][C]242[/C][C]12.85[/C][C]14.7791[/C][C]-1.92911[/C][/ROW]
[ROW][C]243[/C][C]9.5[/C][C]16.1654[/C][C]-6.66542[/C][/ROW]
[ROW][C]244[/C][C]4.5[/C][C]3.1198[/C][C]1.3802[/C][/ROW]
[ROW][C]245[/C][C]11.85[/C][C]14.1997[/C][C]-2.34973[/C][/ROW]
[ROW][C]246[/C][C]13.6[/C][C]15.2038[/C][C]-1.60377[/C][/ROW]
[ROW][C]247[/C][C]11.7[/C][C]10.6459[/C][C]1.05414[/C][/ROW]
[ROW][C]248[/C][C]12.4[/C][C]13.8334[/C][C]-1.43342[/C][/ROW]
[ROW][C]249[/C][C]13.35[/C][C]15.7681[/C][C]-2.41809[/C][/ROW]
[ROW][C]250[/C][C]11.4[/C][C]8.06733[/C][C]3.33267[/C][/ROW]
[ROW][C]251[/C][C]14.9[/C][C]9.58794[/C][C]5.31206[/C][/ROW]
[ROW][C]252[/C][C]19.9[/C][C]14.0087[/C][C]5.8913[/C][/ROW]
[ROW][C]253[/C][C]17.75[/C][C]18.3346[/C][C]-0.584585[/C][/ROW]
[ROW][C]254[/C][C]11.2[/C][C]12.0517[/C][C]-0.851734[/C][/ROW]
[ROW][C]255[/C][C]14.6[/C][C]12.7874[/C][C]1.81259[/C][/ROW]
[ROW][C]256[/C][C]17.6[/C][C]15.9881[/C][C]1.61192[/C][/ROW]
[ROW][C]257[/C][C]14.05[/C][C]13.092[/C][C]0.958007[/C][/ROW]
[ROW][C]258[/C][C]16.1[/C][C]15.9157[/C][C]0.184264[/C][/ROW]
[ROW][C]259[/C][C]13.35[/C][C]13.9121[/C][C]-0.562063[/C][/ROW]
[ROW][C]260[/C][C]11.85[/C][C]14.1542[/C][C]-2.30415[/C][/ROW]
[ROW][C]261[/C][C]11.95[/C][C]11.7771[/C][C]0.172933[/C][/ROW]
[ROW][C]262[/C][C]14.75[/C][C]12.5215[/C][C]2.22855[/C][/ROW]
[ROW][C]263[/C][C]15.15[/C][C]15.5372[/C][C]-0.387191[/C][/ROW]
[ROW][C]264[/C][C]13.2[/C][C]11.7471[/C][C]1.45285[/C][/ROW]
[ROW][C]265[/C][C]16.85[/C][C]19.0407[/C][C]-2.19071[/C][/ROW]
[ROW][C]266[/C][C]7.85[/C][C]14.8929[/C][C]-7.04286[/C][/ROW]
[ROW][C]267[/C][C]7.7[/C][C]6.36782[/C][C]1.33218[/C][/ROW]
[ROW][C]268[/C][C]12.6[/C][C]16.0759[/C][C]-3.4759[/C][/ROW]
[ROW][C]269[/C][C]7.85[/C][C]7.35727[/C][C]0.492734[/C][/ROW]
[ROW][C]270[/C][C]10.95[/C][C]10.4397[/C][C]0.510251[/C][/ROW]
[ROW][C]271[/C][C]12.35[/C][C]14.9982[/C][C]-2.64825[/C][/ROW]
[ROW][C]272[/C][C]9.95[/C][C]6.61733[/C][C]3.33267[/C][/ROW]
[ROW][C]273[/C][C]14.9[/C][C]12.8481[/C][C]2.05188[/C][/ROW]
[ROW][C]274[/C][C]16.65[/C][C]16.135[/C][C]0.515011[/C][/ROW]
[ROW][C]275[/C][C]13.4[/C][C]12.8603[/C][C]0.539744[/C][/ROW]
[ROW][C]276[/C][C]13.95[/C][C]9.69554[/C][C]4.25446[/C][/ROW]
[ROW][C]277[/C][C]15.7[/C][C]10.9963[/C][C]4.70373[/C][/ROW]
[ROW][C]278[/C][C]16.85[/C][C]16.117[/C][C]0.732999[/C][/ROW]
[ROW][C]279[/C][C]10.95[/C][C]7.24428[/C][C]3.70572[/C][/ROW]
[ROW][C]280[/C][C]15.35[/C][C]14.2305[/C][C]1.11949[/C][/ROW]
[ROW][C]281[/C][C]12.2[/C][C]11.0507[/C][C]1.14932[/C][/ROW]
[ROW][C]282[/C][C]15.1[/C][C]13.7514[/C][C]1.34855[/C][/ROW]
[ROW][C]283[/C][C]17.75[/C][C]15.1362[/C][C]2.61377[/C][/ROW]
[ROW][C]284[/C][C]15.2[/C][C]13.9276[/C][C]1.27245[/C][/ROW]
[ROW][C]285[/C][C]14.6[/C][C]12.6075[/C][C]1.99255[/C][/ROW]
[ROW][C]286[/C][C]16.65[/C][C]19.2898[/C][C]-2.6398[/C][/ROW]
[ROW][C]287[/C][C]8.1[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271107&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271107&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
112.911.70671.19335
27.411.2454-3.84539
312.211.35150.848495
412.812.11960.680427
57.412.5823-5.18233
66.711.301-4.60099
712.615.3285-2.72851
814.812.5252.27499
913.312.07681.22318
1011.112.4592-1.35915
118.214.2131-6.0131
1211.412.8304-1.43043
136.414.4777-8.07767
1410.611.5326-0.932564
151213.4573-1.45729
166.39.71459-3.41459
1711.311.2540.0460092
1811.913.7345-1.83455
199.312.0821-2.78206
209.612.2037-2.60372
211011.4454-1.44537
226.411.7148-5.31479
2313.813.04930.750734
2410.813.2007-2.40072
2513.812.02281.77721
2611.712.5579-0.857908
2710.914.8745-3.97446
2816.113.27712.82291
2913.411.00242.39764
309.910.9534-1.05345
3111.512.0795-0.579529
328.311.777-3.47701
3311.713.3122-1.6122
346.111.4781-5.37809
35912.2859-3.28594
369.714.4307-4.73073
3710.812.5065-1.70646
3810.312.8667-2.56675
3910.411.584-1.18398
4012.712.7734-0.0733861
419.312.1567-2.85672
4211.814.2669-2.46689
435.910.5344-4.63443
4411.413.9643-2.56433
451311.59791.40205
4610.812.4529-1.65292
4712.310.34661.95339
4811.313.3899-2.08994
4911.812.3929-0.592927
507.911.0624-3.16236
5112.79.827092.87291
5212.310.86821.43183
5311.611.9487-0.348708
546.711.0281-4.32805
5510.913.139-2.23899
5612.112.6123-0.512298
5713.313.5114-0.211408
5810.113.3574-3.25738
595.711.6658-5.96584
6014.312.11482.18523
6189.48969-1.48969
6213.311.64211.65795
639.312.5242-3.22416
6412.511.65590.844131
657.610.6548-3.05481
6615.913.70382.19621
679.211.2749-2.07486
689.110.5204-1.42037
6911.114.052-2.95199
701313.2783-0.278312
7114.512.92281.57723
7212.210.96361.23641
7312.313.4477-1.14773
7411.411.26910.130922
758.811.1602-2.36025
7614.610.97783.62222
777.312.2657-4.96571
7812.612.8939-0.293876
79NANA-0.584504
801311.63311.3669
8112.614.0106-1.41059
8213.214.5195-1.31948
839.913.5322-3.63222
847.77.73891-0.0389121
8510.57.606042.89396
8613.414.244-0.844016
8710.916.5696-5.66962
884.34.90277-0.602767
8910.39.924860.375141
9011.811.18510.614889
9111.210.67250.527502
9211.412.8468-1.44676
938.66.294332.30567
9413.210.84442.35556
9512.618.0143-5.41431
965.66.7563-1.1563
979.913.0014-3.10144
988.812.7924-3.99236
997.78.99008-1.29008
100913.8982-4.89818
1017.36.875440.424563
10211.49.18192.2181
10313.616.3063-2.7063
1047.98.0607-0.160702
10510.712.0083-1.30834
10610.312.1957-1.8957
1078.39.51805-1.21805
1089.67.027662.57234
10914.216.001-1.80102
1108.55.586232.91377
11113.519.2042-5.7042
1124.98.62734-3.72734
1136.47.03487-0.63487
1149.68.720.880003
11511.610.76690.833138
11611.116.6895-5.58949
1174.354.161670.188329
11812.79.380923.31908
11918.115.35732.74271
12017.8516.97630.873712
12116.613.9372.663
12212.617.9022-5.3022
12317.113.543.55998
12419.121.2066-2.10659
12516.113.37722.72277
12613.3512.63230.71774
12718.414.70953.69046
12814.718.9536-4.25361
12910.611.752-1.15196
13012.611.50421.09577
13116.220.4837-4.28374
13213.610.55643.04355
13318.917.1811.719
13414.111.41612.68388
13514.516.5086-2.00859
13616.1514.91.25001
13714.7514.14410.605875
13814.814.62560.17435
13912.4514.5609-2.11091
14012.659.065813.58419
14117.3520.7762-3.42616
1428.67.817480.782524
14318.420.4336-2.03357
14416.115.53940.560563
14511.65.878435.72157
14617.7516.06121.68878
14715.2513.86651.38348
14817.6515.8061.84397
14915.614.23741.36256
15016.3513.42112.92894
15117.6516.98020.669767
15213.614.0411-0.441106
15311.710.75950.940541
15414.3517.381-3.03095
15514.7512.92081.82925
15618.2523.5136-5.26362
1579.97.775042.12496
1581613.46382.53618
15918.2518.7909-0.540919
16016.8514.75982.09019
16114.614.36820.231807
16213.8511.06522.78477
16318.9517.9411.00897
16415.618.0548-2.45476
16514.8515.5032-0.653162
16611.755.882725.86728
16718.4520.0544-1.60441
16815.912.71923.18079
16917.111.77175.32831
17016.110.78795.31206
17119.919.40730.492734
17210.958.209872.74013
17318.4513.83644.61357
17415.115.6498-0.54983
1751517.6099-2.60987
17611.3510.44690.903142
17715.9511.01274.93729
17818.116.16741.9326
17914.615.3389-0.738897
18015.416.1389-0.738897
18115.411.19684.20318
18217.617.9595-0.35946
18313.3510.94082.40923
18419.116.58652.5135
18515.3520.0141-4.66414
1867.67.93377-0.33377
18713.412.94970.450311
18813.911.97121.92876
18919.117.51881.5812
19015.2514.21291.03707
19112.910.50312.39693
19216.110.97365.12642
19317.3516.39460.955435
19413.1510.8372.31304
19512.1512.05060.0994444
19612.613.6753-1.07531
19710.357.38772.9623
19815.416.5509-1.15088
1999.64.55155.0485
20018.216.60861.59137
20113.613.37380.226173
20214.8517.0962-2.24624
20314.7514.48870.26125
20414.110.49513.60494
20514.911.27423.62576
20616.2514.57191.67812
20719.2517.52981.72023
20813.613.17530.424722
20913.613.13070.469304
21015.6515.08260.567413
21112.759.248343.50166
21214.618.0562-3.45617
2139.858.183551.66645
21412.6512.8745-0.224472
21511.99.020452.87955
21619.216.75392.44606
21716.615.1151.48496
21811.28.97052.2295
21915.2518.4831-3.23305
22011.914.6532-2.75324
22113.214.028-0.827955
22216.3517.3125-0.962528
22312.49.380223.01978
22415.8515.08240.7676
22514.3511.17083.17916
22618.1518.2888-0.138756
22711.1511.0590.091041
22815.6514.29371.35628
22917.7522.5181-4.7681
2307.657.177990.472007
23112.358.179084.17092
23215.612.58223.01778
23319.315.85773.44229
23415.211.48123.71875
23517.114.16242.93759
23615.611.97813.62195
23718.414.46573.9343
23819.0513.74725.30276
23918.5516.21232.33766
24019.117.68661.4134
24113.113.403-0.302972
24212.8514.7791-1.92911
2439.516.1654-6.66542
2444.53.11981.3802
24511.8514.1997-2.34973
24613.615.2038-1.60377
24711.710.64591.05414
24812.413.8334-1.43342
24913.3515.7681-2.41809
25011.48.067333.33267
25114.99.587945.31206
25219.914.00875.8913
25317.7518.3346-0.584585
25411.212.0517-0.851734
25514.612.78741.81259
25617.615.98811.61192
25714.0513.0920.958007
25816.115.91570.184264
25913.3513.9121-0.562063
26011.8514.1542-2.30415
26111.9511.77710.172933
26214.7512.52152.22855
26315.1515.5372-0.387191
26413.211.74711.45285
26516.8519.0407-2.19071
2667.8514.8929-7.04286
2677.76.367821.33218
26812.616.0759-3.4759
2697.857.357270.492734
27010.9510.43970.510251
27112.3514.9982-2.64825
2729.956.617333.33267
27314.912.84812.05188
27416.6516.1350.515011
27513.412.86030.539744
27613.959.695544.25446
27715.710.99634.70373
27816.8516.1170.732999
27910.957.244283.70572
28015.3514.23051.11949
28112.211.05071.14932
28215.113.75141.34855
28317.7515.13622.61377
28415.213.92761.27245
28514.612.60751.99255
28616.6519.2898-2.6398
2878.1NANA






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.9412360.1175290.0587644
90.8899730.2200550.110027
100.8338880.3322230.166112
110.8601810.2796380.139819
120.7972420.4055150.202758
130.8405440.3189130.159456
140.7786090.4427820.221391
150.7065220.5869550.293478
160.6637090.6725820.336291
170.6646150.6707690.335385
180.5982320.8035360.401768
190.5244730.9510550.475527
200.4553130.9106260.544687
210.3831440.7662880.616856
220.4278350.8556690.572165
230.380460.760920.61954
240.3213180.6426360.678682
250.2737810.5475630.726219
260.2250130.4500270.774987
270.1898970.3797930.810103
280.1549120.3098230.845088
290.2128940.4257880.787106
300.1793980.3587960.820602
310.1643850.3287690.835615
320.1395660.2791310.860434
330.1370630.2741260.862937
340.1893530.3787070.810647
350.1602280.3204570.839772
360.1834580.3669160.816542
370.155040.3100790.84496
380.127840.2556810.87216
390.1067750.2135510.893225
400.1129880.2259760.887012
410.1329440.2658880.867056
420.1191380.2382750.880862
430.1653990.3307980.834601
440.1423760.2847520.857624
450.1299150.2598310.870085
460.1130390.2260780.886961
470.1206760.2413530.879324
480.1029580.2059160.897042
490.08855340.1771070.911447
500.1092170.2184350.890783
510.1197310.2394620.880269
520.1226460.2452920.877354
530.107520.2150390.89248
540.1117770.2235540.888223
550.1033960.2067920.896604
560.1024490.2048990.897551
570.1009630.2019260.899037
580.08849820.1769960.911502
590.142850.2857010.85715
600.1754460.3508930.824554
610.1509850.301970.849015
620.1607870.3215740.839213
630.1665190.3330390.833481
640.1573390.3146790.842661
650.1596710.3193420.840329
660.202250.40450.79775
670.1965630.3931270.803437
680.1719290.3438570.828071
690.1715870.3431750.828413
700.1593830.3187650.840617
710.1641190.3282380.835881
720.1529080.3058170.847092
730.1387110.2774210.861289
740.1234680.2469370.876532
750.1106560.2213110.889344
760.1175130.2350270.882487
770.2000010.4000020.799999
780.1897870.3795740.810213
790.1796550.359310.820345
800.1724170.3448340.827583
810.1711620.3423250.828838
820.1500330.3000660.849967
830.1780820.3561640.821918
840.1562070.3124150.843793
850.1739970.3479940.826003
860.153970.3079390.84603
870.2683660.5367320.731634
880.2501020.5002030.749898
890.2268510.4537010.773149
900.201720.403440.79828
910.1797190.3594390.820281
920.1700980.3401960.829902
930.1792090.3584180.820791
940.1880990.3761970.811901
950.2802650.560530.719735
960.2816810.5633620.718319
970.276210.552420.72379
980.2982650.5965290.701735
990.292270.584540.70773
1000.3744810.7489610.625519
1010.35920.71840.6408
1020.4051360.8102720.594864
1030.463210.9264210.53679
1040.4357830.8715660.564217
1050.4196680.8393350.580332
1060.4221550.844310.577845
1070.439970.879940.56003
1080.4724620.9449240.527538
1090.4989960.9979920.501004
1100.5172420.9655160.482758
1110.7169930.5660140.283007
1120.7561470.4877060.243853
1130.7644390.4711220.235561
1140.7607290.4785430.239271
1150.7508240.4983530.249176
1160.8614120.2771770.138588
1170.8563140.2873730.143686
1180.9183810.1632380.0816191
1190.9439340.1121310.0560656
1200.9375440.1249120.0624561
1210.9430910.1138180.0569091
1220.9397680.1204640.0602322
1230.9518070.09638550.0481927
1240.9607140.07857230.0392862
1250.9665840.06683110.0334155
1260.9679250.06415030.0320751
1270.9802870.03942670.0197133
1280.9834170.03316690.0165835
1290.9804920.03901640.0195082
1300.9799480.04010390.020052
1310.9810760.0378470.0189235
1320.9839880.03202430.0160121
1330.983160.03368060.0168403
1340.9843720.03125650.0156282
1350.9835980.0328030.0164015
1360.9816770.03664510.0183226
1370.9784790.04304290.0215215
1380.9741780.05164390.025822
1390.9698720.06025520.0301276
1400.9790710.04185720.0209286
1410.9789740.0420520.021026
1420.9768390.04632250.0231613
1430.9723930.0552130.0276065
1440.9674010.0651980.032599
1450.9831520.03369520.0168476
1460.9826150.03477060.0173853
1470.9825340.03493130.0174656
1480.9813870.03722670.0186133
1490.9790860.04182780.0209139
1500.9797720.04045610.020228
1510.9763430.04731310.0236566
1520.9747540.05049210.025246
1530.9704770.05904580.0295229
1540.9668380.06632430.0331621
1550.9652940.06941250.0347062
1560.9878710.02425780.0121289
1570.9866370.02672580.0133629
1580.9869630.02607380.0130369
1590.9840840.03183280.0159164
1600.9845840.03083260.0154163
1610.981330.03733940.0186697
1620.9807470.03850630.0192532
1630.9774120.0451770.0225885
1640.9758040.04839190.024196
1650.9712380.05752380.0287619
1660.9811160.03776880.0188844
1670.9779880.0440230.0220115
1680.9780260.04394760.0219738
1690.9956140.008771280.00438564
1700.9966090.006782370.00339118
1710.9956310.00873860.0043693
1720.995560.008879110.00443955
1730.9970830.005833630.00291682
1740.9962190.007561930.00378096
1750.9964240.007152150.00357608
1760.995670.008659850.00432993
1770.9970380.005924230.00296211
1780.9967350.006530980.00326549
1790.9959020.00819540.0040977
1800.9949220.01015660.00507829
1810.9957840.008432190.0042161
1820.995260.009479460.00473973
1830.9951740.00965170.00482585
1840.9945780.01084420.00542209
1850.995940.00811920.0040596
1860.9955890.008821520.00441076
1870.9944720.01105650.00552826
1880.9935480.01290410.00645206
1890.9919550.01608930.00804464
1900.9915280.01694490.00847244
1910.9900330.01993410.00996706
1920.994580.01083920.0054196
1930.9933680.01326470.00663233
1940.9920930.01581450.00790727
1950.9898790.02024260.0101213
1960.9875510.02489760.0124488
1970.9855490.02890190.014451
1980.9836810.03263740.0163187
1990.9897050.02059060.0102953
2000.987590.02481940.0124097
2010.985640.028720.01436
2020.985720.02856060.0142803
2030.9818770.0362450.0181225
2040.9844630.03107440.0155372
2050.9839870.03202560.0160128
2060.9815840.0368320.018416
2070.9801580.03968420.0198421
2080.9777830.04443410.0222171
2090.9725690.05486170.0274308
2100.9664110.0671790.0335895
2110.9738290.05234180.0261709
2120.9715980.05680340.0284017
2130.9698330.06033440.0301672
2140.962580.07483920.0374196
2150.9586660.08266880.0413344
2160.9545990.09080120.0454006
2170.9455680.1088630.0544316
2180.9361310.1277380.0638689
2190.9486770.1026460.0513232
2200.9403130.1193750.0596874
2210.9370850.125830.0629149
2220.9265350.1469290.0734646
2230.9232010.1535990.0767995
2240.9110830.1778330.0889167
2250.9000460.1999090.0999543
2260.8794590.2410820.120541
2270.8559120.2881760.144088
2280.8389230.3221530.161077
2290.8592320.2815360.140768
2300.8332270.3335460.166773
2310.8356160.3287690.164384
2320.8201680.3596630.179832
2330.8748190.2503620.125181
2340.891950.21610.10805
2350.9008310.1983380.0991688
2360.8871110.2257790.112889
2370.9000190.1999610.0999805
2380.9224930.1550140.0775068
2390.905350.18930.0946501
2400.8880610.2238770.111939
2410.8815460.2369080.118454
2420.8767540.2464930.123246
2430.9547210.09055710.0452786
2440.9504780.09904450.0495222
2450.9518310.09633860.0481693
2460.9390530.1218930.0609466
2470.9213370.1573260.0786628
2480.9086390.1827220.0913612
2490.8893870.2212250.110613
2500.8793570.2412860.120643
2510.8677740.2644530.132226
2520.9269420.1461160.0730579
2530.9044270.1911470.0955733
2540.8806520.2386950.119348
2550.8532950.293410.146705
2560.8218090.3563820.178191
2570.7802470.4395050.219753
2580.7304220.5391560.269578
2590.6876280.6247440.312372
2600.6872020.6255970.312798
2610.6263130.7473740.373687
2620.5643120.8713750.435688
2630.6186550.7626910.381345
2640.5552010.8895970.444799
2650.5554780.8890450.444522
2660.9247330.1505330.0752666
2670.8907940.2184130.109206
2680.9957290.008541560.00427078
2690.9978620.004275890.00213795
2700.9980150.003969470.00198474
2710.9998490.000302650.000151325
2720.9995330.0009331350.000466568
2730.9991110.001777110.000888555
2740.9981970.00360520.0018026
2750.9981680.003663980.00183199
2760.9947720.01045580.00522791
2770.9909130.01817330.00908664
2780.9644510.07109790.0355489
2790.9628070.07438560.0371928

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
8 & 0.941236 & 0.117529 & 0.0587644 \tabularnewline
9 & 0.889973 & 0.220055 & 0.110027 \tabularnewline
10 & 0.833888 & 0.332223 & 0.166112 \tabularnewline
11 & 0.860181 & 0.279638 & 0.139819 \tabularnewline
12 & 0.797242 & 0.405515 & 0.202758 \tabularnewline
13 & 0.840544 & 0.318913 & 0.159456 \tabularnewline
14 & 0.778609 & 0.442782 & 0.221391 \tabularnewline
15 & 0.706522 & 0.586955 & 0.293478 \tabularnewline
16 & 0.663709 & 0.672582 & 0.336291 \tabularnewline
17 & 0.664615 & 0.670769 & 0.335385 \tabularnewline
18 & 0.598232 & 0.803536 & 0.401768 \tabularnewline
19 & 0.524473 & 0.951055 & 0.475527 \tabularnewline
20 & 0.455313 & 0.910626 & 0.544687 \tabularnewline
21 & 0.383144 & 0.766288 & 0.616856 \tabularnewline
22 & 0.427835 & 0.855669 & 0.572165 \tabularnewline
23 & 0.38046 & 0.76092 & 0.61954 \tabularnewline
24 & 0.321318 & 0.642636 & 0.678682 \tabularnewline
25 & 0.273781 & 0.547563 & 0.726219 \tabularnewline
26 & 0.225013 & 0.450027 & 0.774987 \tabularnewline
27 & 0.189897 & 0.379793 & 0.810103 \tabularnewline
28 & 0.154912 & 0.309823 & 0.845088 \tabularnewline
29 & 0.212894 & 0.425788 & 0.787106 \tabularnewline
30 & 0.179398 & 0.358796 & 0.820602 \tabularnewline
31 & 0.164385 & 0.328769 & 0.835615 \tabularnewline
32 & 0.139566 & 0.279131 & 0.860434 \tabularnewline
33 & 0.137063 & 0.274126 & 0.862937 \tabularnewline
34 & 0.189353 & 0.378707 & 0.810647 \tabularnewline
35 & 0.160228 & 0.320457 & 0.839772 \tabularnewline
36 & 0.183458 & 0.366916 & 0.816542 \tabularnewline
37 & 0.15504 & 0.310079 & 0.84496 \tabularnewline
38 & 0.12784 & 0.255681 & 0.87216 \tabularnewline
39 & 0.106775 & 0.213551 & 0.893225 \tabularnewline
40 & 0.112988 & 0.225976 & 0.887012 \tabularnewline
41 & 0.132944 & 0.265888 & 0.867056 \tabularnewline
42 & 0.119138 & 0.238275 & 0.880862 \tabularnewline
43 & 0.165399 & 0.330798 & 0.834601 \tabularnewline
44 & 0.142376 & 0.284752 & 0.857624 \tabularnewline
45 & 0.129915 & 0.259831 & 0.870085 \tabularnewline
46 & 0.113039 & 0.226078 & 0.886961 \tabularnewline
47 & 0.120676 & 0.241353 & 0.879324 \tabularnewline
48 & 0.102958 & 0.205916 & 0.897042 \tabularnewline
49 & 0.0885534 & 0.177107 & 0.911447 \tabularnewline
50 & 0.109217 & 0.218435 & 0.890783 \tabularnewline
51 & 0.119731 & 0.239462 & 0.880269 \tabularnewline
52 & 0.122646 & 0.245292 & 0.877354 \tabularnewline
53 & 0.10752 & 0.215039 & 0.89248 \tabularnewline
54 & 0.111777 & 0.223554 & 0.888223 \tabularnewline
55 & 0.103396 & 0.206792 & 0.896604 \tabularnewline
56 & 0.102449 & 0.204899 & 0.897551 \tabularnewline
57 & 0.100963 & 0.201926 & 0.899037 \tabularnewline
58 & 0.0884982 & 0.176996 & 0.911502 \tabularnewline
59 & 0.14285 & 0.285701 & 0.85715 \tabularnewline
60 & 0.175446 & 0.350893 & 0.824554 \tabularnewline
61 & 0.150985 & 0.30197 & 0.849015 \tabularnewline
62 & 0.160787 & 0.321574 & 0.839213 \tabularnewline
63 & 0.166519 & 0.333039 & 0.833481 \tabularnewline
64 & 0.157339 & 0.314679 & 0.842661 \tabularnewline
65 & 0.159671 & 0.319342 & 0.840329 \tabularnewline
66 & 0.20225 & 0.4045 & 0.79775 \tabularnewline
67 & 0.196563 & 0.393127 & 0.803437 \tabularnewline
68 & 0.171929 & 0.343857 & 0.828071 \tabularnewline
69 & 0.171587 & 0.343175 & 0.828413 \tabularnewline
70 & 0.159383 & 0.318765 & 0.840617 \tabularnewline
71 & 0.164119 & 0.328238 & 0.835881 \tabularnewline
72 & 0.152908 & 0.305817 & 0.847092 \tabularnewline
73 & 0.138711 & 0.277421 & 0.861289 \tabularnewline
74 & 0.123468 & 0.246937 & 0.876532 \tabularnewline
75 & 0.110656 & 0.221311 & 0.889344 \tabularnewline
76 & 0.117513 & 0.235027 & 0.882487 \tabularnewline
77 & 0.200001 & 0.400002 & 0.799999 \tabularnewline
78 & 0.189787 & 0.379574 & 0.810213 \tabularnewline
79 & 0.179655 & 0.35931 & 0.820345 \tabularnewline
80 & 0.172417 & 0.344834 & 0.827583 \tabularnewline
81 & 0.171162 & 0.342325 & 0.828838 \tabularnewline
82 & 0.150033 & 0.300066 & 0.849967 \tabularnewline
83 & 0.178082 & 0.356164 & 0.821918 \tabularnewline
84 & 0.156207 & 0.312415 & 0.843793 \tabularnewline
85 & 0.173997 & 0.347994 & 0.826003 \tabularnewline
86 & 0.15397 & 0.307939 & 0.84603 \tabularnewline
87 & 0.268366 & 0.536732 & 0.731634 \tabularnewline
88 & 0.250102 & 0.500203 & 0.749898 \tabularnewline
89 & 0.226851 & 0.453701 & 0.773149 \tabularnewline
90 & 0.20172 & 0.40344 & 0.79828 \tabularnewline
91 & 0.179719 & 0.359439 & 0.820281 \tabularnewline
92 & 0.170098 & 0.340196 & 0.829902 \tabularnewline
93 & 0.179209 & 0.358418 & 0.820791 \tabularnewline
94 & 0.188099 & 0.376197 & 0.811901 \tabularnewline
95 & 0.280265 & 0.56053 & 0.719735 \tabularnewline
96 & 0.281681 & 0.563362 & 0.718319 \tabularnewline
97 & 0.27621 & 0.55242 & 0.72379 \tabularnewline
98 & 0.298265 & 0.596529 & 0.701735 \tabularnewline
99 & 0.29227 & 0.58454 & 0.70773 \tabularnewline
100 & 0.374481 & 0.748961 & 0.625519 \tabularnewline
101 & 0.3592 & 0.7184 & 0.6408 \tabularnewline
102 & 0.405136 & 0.810272 & 0.594864 \tabularnewline
103 & 0.46321 & 0.926421 & 0.53679 \tabularnewline
104 & 0.435783 & 0.871566 & 0.564217 \tabularnewline
105 & 0.419668 & 0.839335 & 0.580332 \tabularnewline
106 & 0.422155 & 0.84431 & 0.577845 \tabularnewline
107 & 0.43997 & 0.87994 & 0.56003 \tabularnewline
108 & 0.472462 & 0.944924 & 0.527538 \tabularnewline
109 & 0.498996 & 0.997992 & 0.501004 \tabularnewline
110 & 0.517242 & 0.965516 & 0.482758 \tabularnewline
111 & 0.716993 & 0.566014 & 0.283007 \tabularnewline
112 & 0.756147 & 0.487706 & 0.243853 \tabularnewline
113 & 0.764439 & 0.471122 & 0.235561 \tabularnewline
114 & 0.760729 & 0.478543 & 0.239271 \tabularnewline
115 & 0.750824 & 0.498353 & 0.249176 \tabularnewline
116 & 0.861412 & 0.277177 & 0.138588 \tabularnewline
117 & 0.856314 & 0.287373 & 0.143686 \tabularnewline
118 & 0.918381 & 0.163238 & 0.0816191 \tabularnewline
119 & 0.943934 & 0.112131 & 0.0560656 \tabularnewline
120 & 0.937544 & 0.124912 & 0.0624561 \tabularnewline
121 & 0.943091 & 0.113818 & 0.0569091 \tabularnewline
122 & 0.939768 & 0.120464 & 0.0602322 \tabularnewline
123 & 0.951807 & 0.0963855 & 0.0481927 \tabularnewline
124 & 0.960714 & 0.0785723 & 0.0392862 \tabularnewline
125 & 0.966584 & 0.0668311 & 0.0334155 \tabularnewline
126 & 0.967925 & 0.0641503 & 0.0320751 \tabularnewline
127 & 0.980287 & 0.0394267 & 0.0197133 \tabularnewline
128 & 0.983417 & 0.0331669 & 0.0165835 \tabularnewline
129 & 0.980492 & 0.0390164 & 0.0195082 \tabularnewline
130 & 0.979948 & 0.0401039 & 0.020052 \tabularnewline
131 & 0.981076 & 0.037847 & 0.0189235 \tabularnewline
132 & 0.983988 & 0.0320243 & 0.0160121 \tabularnewline
133 & 0.98316 & 0.0336806 & 0.0168403 \tabularnewline
134 & 0.984372 & 0.0312565 & 0.0156282 \tabularnewline
135 & 0.983598 & 0.032803 & 0.0164015 \tabularnewline
136 & 0.981677 & 0.0366451 & 0.0183226 \tabularnewline
137 & 0.978479 & 0.0430429 & 0.0215215 \tabularnewline
138 & 0.974178 & 0.0516439 & 0.025822 \tabularnewline
139 & 0.969872 & 0.0602552 & 0.0301276 \tabularnewline
140 & 0.979071 & 0.0418572 & 0.0209286 \tabularnewline
141 & 0.978974 & 0.042052 & 0.021026 \tabularnewline
142 & 0.976839 & 0.0463225 & 0.0231613 \tabularnewline
143 & 0.972393 & 0.055213 & 0.0276065 \tabularnewline
144 & 0.967401 & 0.065198 & 0.032599 \tabularnewline
145 & 0.983152 & 0.0336952 & 0.0168476 \tabularnewline
146 & 0.982615 & 0.0347706 & 0.0173853 \tabularnewline
147 & 0.982534 & 0.0349313 & 0.0174656 \tabularnewline
148 & 0.981387 & 0.0372267 & 0.0186133 \tabularnewline
149 & 0.979086 & 0.0418278 & 0.0209139 \tabularnewline
150 & 0.979772 & 0.0404561 & 0.020228 \tabularnewline
151 & 0.976343 & 0.0473131 & 0.0236566 \tabularnewline
152 & 0.974754 & 0.0504921 & 0.025246 \tabularnewline
153 & 0.970477 & 0.0590458 & 0.0295229 \tabularnewline
154 & 0.966838 & 0.0663243 & 0.0331621 \tabularnewline
155 & 0.965294 & 0.0694125 & 0.0347062 \tabularnewline
156 & 0.987871 & 0.0242578 & 0.0121289 \tabularnewline
157 & 0.986637 & 0.0267258 & 0.0133629 \tabularnewline
158 & 0.986963 & 0.0260738 & 0.0130369 \tabularnewline
159 & 0.984084 & 0.0318328 & 0.0159164 \tabularnewline
160 & 0.984584 & 0.0308326 & 0.0154163 \tabularnewline
161 & 0.98133 & 0.0373394 & 0.0186697 \tabularnewline
162 & 0.980747 & 0.0385063 & 0.0192532 \tabularnewline
163 & 0.977412 & 0.045177 & 0.0225885 \tabularnewline
164 & 0.975804 & 0.0483919 & 0.024196 \tabularnewline
165 & 0.971238 & 0.0575238 & 0.0287619 \tabularnewline
166 & 0.981116 & 0.0377688 & 0.0188844 \tabularnewline
167 & 0.977988 & 0.044023 & 0.0220115 \tabularnewline
168 & 0.978026 & 0.0439476 & 0.0219738 \tabularnewline
169 & 0.995614 & 0.00877128 & 0.00438564 \tabularnewline
170 & 0.996609 & 0.00678237 & 0.00339118 \tabularnewline
171 & 0.995631 & 0.0087386 & 0.0043693 \tabularnewline
172 & 0.99556 & 0.00887911 & 0.00443955 \tabularnewline
173 & 0.997083 & 0.00583363 & 0.00291682 \tabularnewline
174 & 0.996219 & 0.00756193 & 0.00378096 \tabularnewline
175 & 0.996424 & 0.00715215 & 0.00357608 \tabularnewline
176 & 0.99567 & 0.00865985 & 0.00432993 \tabularnewline
177 & 0.997038 & 0.00592423 & 0.00296211 \tabularnewline
178 & 0.996735 & 0.00653098 & 0.00326549 \tabularnewline
179 & 0.995902 & 0.0081954 & 0.0040977 \tabularnewline
180 & 0.994922 & 0.0101566 & 0.00507829 \tabularnewline
181 & 0.995784 & 0.00843219 & 0.0042161 \tabularnewline
182 & 0.99526 & 0.00947946 & 0.00473973 \tabularnewline
183 & 0.995174 & 0.0096517 & 0.00482585 \tabularnewline
184 & 0.994578 & 0.0108442 & 0.00542209 \tabularnewline
185 & 0.99594 & 0.0081192 & 0.0040596 \tabularnewline
186 & 0.995589 & 0.00882152 & 0.00441076 \tabularnewline
187 & 0.994472 & 0.0110565 & 0.00552826 \tabularnewline
188 & 0.993548 & 0.0129041 & 0.00645206 \tabularnewline
189 & 0.991955 & 0.0160893 & 0.00804464 \tabularnewline
190 & 0.991528 & 0.0169449 & 0.00847244 \tabularnewline
191 & 0.990033 & 0.0199341 & 0.00996706 \tabularnewline
192 & 0.99458 & 0.0108392 & 0.0054196 \tabularnewline
193 & 0.993368 & 0.0132647 & 0.00663233 \tabularnewline
194 & 0.992093 & 0.0158145 & 0.00790727 \tabularnewline
195 & 0.989879 & 0.0202426 & 0.0101213 \tabularnewline
196 & 0.987551 & 0.0248976 & 0.0124488 \tabularnewline
197 & 0.985549 & 0.0289019 & 0.014451 \tabularnewline
198 & 0.983681 & 0.0326374 & 0.0163187 \tabularnewline
199 & 0.989705 & 0.0205906 & 0.0102953 \tabularnewline
200 & 0.98759 & 0.0248194 & 0.0124097 \tabularnewline
201 & 0.98564 & 0.02872 & 0.01436 \tabularnewline
202 & 0.98572 & 0.0285606 & 0.0142803 \tabularnewline
203 & 0.981877 & 0.036245 & 0.0181225 \tabularnewline
204 & 0.984463 & 0.0310744 & 0.0155372 \tabularnewline
205 & 0.983987 & 0.0320256 & 0.0160128 \tabularnewline
206 & 0.981584 & 0.036832 & 0.018416 \tabularnewline
207 & 0.980158 & 0.0396842 & 0.0198421 \tabularnewline
208 & 0.977783 & 0.0444341 & 0.0222171 \tabularnewline
209 & 0.972569 & 0.0548617 & 0.0274308 \tabularnewline
210 & 0.966411 & 0.067179 & 0.0335895 \tabularnewline
211 & 0.973829 & 0.0523418 & 0.0261709 \tabularnewline
212 & 0.971598 & 0.0568034 & 0.0284017 \tabularnewline
213 & 0.969833 & 0.0603344 & 0.0301672 \tabularnewline
214 & 0.96258 & 0.0748392 & 0.0374196 \tabularnewline
215 & 0.958666 & 0.0826688 & 0.0413344 \tabularnewline
216 & 0.954599 & 0.0908012 & 0.0454006 \tabularnewline
217 & 0.945568 & 0.108863 & 0.0544316 \tabularnewline
218 & 0.936131 & 0.127738 & 0.0638689 \tabularnewline
219 & 0.948677 & 0.102646 & 0.0513232 \tabularnewline
220 & 0.940313 & 0.119375 & 0.0596874 \tabularnewline
221 & 0.937085 & 0.12583 & 0.0629149 \tabularnewline
222 & 0.926535 & 0.146929 & 0.0734646 \tabularnewline
223 & 0.923201 & 0.153599 & 0.0767995 \tabularnewline
224 & 0.911083 & 0.177833 & 0.0889167 \tabularnewline
225 & 0.900046 & 0.199909 & 0.0999543 \tabularnewline
226 & 0.879459 & 0.241082 & 0.120541 \tabularnewline
227 & 0.855912 & 0.288176 & 0.144088 \tabularnewline
228 & 0.838923 & 0.322153 & 0.161077 \tabularnewline
229 & 0.859232 & 0.281536 & 0.140768 \tabularnewline
230 & 0.833227 & 0.333546 & 0.166773 \tabularnewline
231 & 0.835616 & 0.328769 & 0.164384 \tabularnewline
232 & 0.820168 & 0.359663 & 0.179832 \tabularnewline
233 & 0.874819 & 0.250362 & 0.125181 \tabularnewline
234 & 0.89195 & 0.2161 & 0.10805 \tabularnewline
235 & 0.900831 & 0.198338 & 0.0991688 \tabularnewline
236 & 0.887111 & 0.225779 & 0.112889 \tabularnewline
237 & 0.900019 & 0.199961 & 0.0999805 \tabularnewline
238 & 0.922493 & 0.155014 & 0.0775068 \tabularnewline
239 & 0.90535 & 0.1893 & 0.0946501 \tabularnewline
240 & 0.888061 & 0.223877 & 0.111939 \tabularnewline
241 & 0.881546 & 0.236908 & 0.118454 \tabularnewline
242 & 0.876754 & 0.246493 & 0.123246 \tabularnewline
243 & 0.954721 & 0.0905571 & 0.0452786 \tabularnewline
244 & 0.950478 & 0.0990445 & 0.0495222 \tabularnewline
245 & 0.951831 & 0.0963386 & 0.0481693 \tabularnewline
246 & 0.939053 & 0.121893 & 0.0609466 \tabularnewline
247 & 0.921337 & 0.157326 & 0.0786628 \tabularnewline
248 & 0.908639 & 0.182722 & 0.0913612 \tabularnewline
249 & 0.889387 & 0.221225 & 0.110613 \tabularnewline
250 & 0.879357 & 0.241286 & 0.120643 \tabularnewline
251 & 0.867774 & 0.264453 & 0.132226 \tabularnewline
252 & 0.926942 & 0.146116 & 0.0730579 \tabularnewline
253 & 0.904427 & 0.191147 & 0.0955733 \tabularnewline
254 & 0.880652 & 0.238695 & 0.119348 \tabularnewline
255 & 0.853295 & 0.29341 & 0.146705 \tabularnewline
256 & 0.821809 & 0.356382 & 0.178191 \tabularnewline
257 & 0.780247 & 0.439505 & 0.219753 \tabularnewline
258 & 0.730422 & 0.539156 & 0.269578 \tabularnewline
259 & 0.687628 & 0.624744 & 0.312372 \tabularnewline
260 & 0.687202 & 0.625597 & 0.312798 \tabularnewline
261 & 0.626313 & 0.747374 & 0.373687 \tabularnewline
262 & 0.564312 & 0.871375 & 0.435688 \tabularnewline
263 & 0.618655 & 0.762691 & 0.381345 \tabularnewline
264 & 0.555201 & 0.889597 & 0.444799 \tabularnewline
265 & 0.555478 & 0.889045 & 0.444522 \tabularnewline
266 & 0.924733 & 0.150533 & 0.0752666 \tabularnewline
267 & 0.890794 & 0.218413 & 0.109206 \tabularnewline
268 & 0.995729 & 0.00854156 & 0.00427078 \tabularnewline
269 & 0.997862 & 0.00427589 & 0.00213795 \tabularnewline
270 & 0.998015 & 0.00396947 & 0.00198474 \tabularnewline
271 & 0.999849 & 0.00030265 & 0.000151325 \tabularnewline
272 & 0.999533 & 0.000933135 & 0.000466568 \tabularnewline
273 & 0.999111 & 0.00177711 & 0.000888555 \tabularnewline
274 & 0.998197 & 0.0036052 & 0.0018026 \tabularnewline
275 & 0.998168 & 0.00366398 & 0.00183199 \tabularnewline
276 & 0.994772 & 0.0104558 & 0.00522791 \tabularnewline
277 & 0.990913 & 0.0181733 & 0.00908664 \tabularnewline
278 & 0.964451 & 0.0710979 & 0.0355489 \tabularnewline
279 & 0.962807 & 0.0743856 & 0.0371928 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271107&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]0.941236[/C][C]0.117529[/C][C]0.0587644[/C][/ROW]
[ROW][C]9[/C][C]0.889973[/C][C]0.220055[/C][C]0.110027[/C][/ROW]
[ROW][C]10[/C][C]0.833888[/C][C]0.332223[/C][C]0.166112[/C][/ROW]
[ROW][C]11[/C][C]0.860181[/C][C]0.279638[/C][C]0.139819[/C][/ROW]
[ROW][C]12[/C][C]0.797242[/C][C]0.405515[/C][C]0.202758[/C][/ROW]
[ROW][C]13[/C][C]0.840544[/C][C]0.318913[/C][C]0.159456[/C][/ROW]
[ROW][C]14[/C][C]0.778609[/C][C]0.442782[/C][C]0.221391[/C][/ROW]
[ROW][C]15[/C][C]0.706522[/C][C]0.586955[/C][C]0.293478[/C][/ROW]
[ROW][C]16[/C][C]0.663709[/C][C]0.672582[/C][C]0.336291[/C][/ROW]
[ROW][C]17[/C][C]0.664615[/C][C]0.670769[/C][C]0.335385[/C][/ROW]
[ROW][C]18[/C][C]0.598232[/C][C]0.803536[/C][C]0.401768[/C][/ROW]
[ROW][C]19[/C][C]0.524473[/C][C]0.951055[/C][C]0.475527[/C][/ROW]
[ROW][C]20[/C][C]0.455313[/C][C]0.910626[/C][C]0.544687[/C][/ROW]
[ROW][C]21[/C][C]0.383144[/C][C]0.766288[/C][C]0.616856[/C][/ROW]
[ROW][C]22[/C][C]0.427835[/C][C]0.855669[/C][C]0.572165[/C][/ROW]
[ROW][C]23[/C][C]0.38046[/C][C]0.76092[/C][C]0.61954[/C][/ROW]
[ROW][C]24[/C][C]0.321318[/C][C]0.642636[/C][C]0.678682[/C][/ROW]
[ROW][C]25[/C][C]0.273781[/C][C]0.547563[/C][C]0.726219[/C][/ROW]
[ROW][C]26[/C][C]0.225013[/C][C]0.450027[/C][C]0.774987[/C][/ROW]
[ROW][C]27[/C][C]0.189897[/C][C]0.379793[/C][C]0.810103[/C][/ROW]
[ROW][C]28[/C][C]0.154912[/C][C]0.309823[/C][C]0.845088[/C][/ROW]
[ROW][C]29[/C][C]0.212894[/C][C]0.425788[/C][C]0.787106[/C][/ROW]
[ROW][C]30[/C][C]0.179398[/C][C]0.358796[/C][C]0.820602[/C][/ROW]
[ROW][C]31[/C][C]0.164385[/C][C]0.328769[/C][C]0.835615[/C][/ROW]
[ROW][C]32[/C][C]0.139566[/C][C]0.279131[/C][C]0.860434[/C][/ROW]
[ROW][C]33[/C][C]0.137063[/C][C]0.274126[/C][C]0.862937[/C][/ROW]
[ROW][C]34[/C][C]0.189353[/C][C]0.378707[/C][C]0.810647[/C][/ROW]
[ROW][C]35[/C][C]0.160228[/C][C]0.320457[/C][C]0.839772[/C][/ROW]
[ROW][C]36[/C][C]0.183458[/C][C]0.366916[/C][C]0.816542[/C][/ROW]
[ROW][C]37[/C][C]0.15504[/C][C]0.310079[/C][C]0.84496[/C][/ROW]
[ROW][C]38[/C][C]0.12784[/C][C]0.255681[/C][C]0.87216[/C][/ROW]
[ROW][C]39[/C][C]0.106775[/C][C]0.213551[/C][C]0.893225[/C][/ROW]
[ROW][C]40[/C][C]0.112988[/C][C]0.225976[/C][C]0.887012[/C][/ROW]
[ROW][C]41[/C][C]0.132944[/C][C]0.265888[/C][C]0.867056[/C][/ROW]
[ROW][C]42[/C][C]0.119138[/C][C]0.238275[/C][C]0.880862[/C][/ROW]
[ROW][C]43[/C][C]0.165399[/C][C]0.330798[/C][C]0.834601[/C][/ROW]
[ROW][C]44[/C][C]0.142376[/C][C]0.284752[/C][C]0.857624[/C][/ROW]
[ROW][C]45[/C][C]0.129915[/C][C]0.259831[/C][C]0.870085[/C][/ROW]
[ROW][C]46[/C][C]0.113039[/C][C]0.226078[/C][C]0.886961[/C][/ROW]
[ROW][C]47[/C][C]0.120676[/C][C]0.241353[/C][C]0.879324[/C][/ROW]
[ROW][C]48[/C][C]0.102958[/C][C]0.205916[/C][C]0.897042[/C][/ROW]
[ROW][C]49[/C][C]0.0885534[/C][C]0.177107[/C][C]0.911447[/C][/ROW]
[ROW][C]50[/C][C]0.109217[/C][C]0.218435[/C][C]0.890783[/C][/ROW]
[ROW][C]51[/C][C]0.119731[/C][C]0.239462[/C][C]0.880269[/C][/ROW]
[ROW][C]52[/C][C]0.122646[/C][C]0.245292[/C][C]0.877354[/C][/ROW]
[ROW][C]53[/C][C]0.10752[/C][C]0.215039[/C][C]0.89248[/C][/ROW]
[ROW][C]54[/C][C]0.111777[/C][C]0.223554[/C][C]0.888223[/C][/ROW]
[ROW][C]55[/C][C]0.103396[/C][C]0.206792[/C][C]0.896604[/C][/ROW]
[ROW][C]56[/C][C]0.102449[/C][C]0.204899[/C][C]0.897551[/C][/ROW]
[ROW][C]57[/C][C]0.100963[/C][C]0.201926[/C][C]0.899037[/C][/ROW]
[ROW][C]58[/C][C]0.0884982[/C][C]0.176996[/C][C]0.911502[/C][/ROW]
[ROW][C]59[/C][C]0.14285[/C][C]0.285701[/C][C]0.85715[/C][/ROW]
[ROW][C]60[/C][C]0.175446[/C][C]0.350893[/C][C]0.824554[/C][/ROW]
[ROW][C]61[/C][C]0.150985[/C][C]0.30197[/C][C]0.849015[/C][/ROW]
[ROW][C]62[/C][C]0.160787[/C][C]0.321574[/C][C]0.839213[/C][/ROW]
[ROW][C]63[/C][C]0.166519[/C][C]0.333039[/C][C]0.833481[/C][/ROW]
[ROW][C]64[/C][C]0.157339[/C][C]0.314679[/C][C]0.842661[/C][/ROW]
[ROW][C]65[/C][C]0.159671[/C][C]0.319342[/C][C]0.840329[/C][/ROW]
[ROW][C]66[/C][C]0.20225[/C][C]0.4045[/C][C]0.79775[/C][/ROW]
[ROW][C]67[/C][C]0.196563[/C][C]0.393127[/C][C]0.803437[/C][/ROW]
[ROW][C]68[/C][C]0.171929[/C][C]0.343857[/C][C]0.828071[/C][/ROW]
[ROW][C]69[/C][C]0.171587[/C][C]0.343175[/C][C]0.828413[/C][/ROW]
[ROW][C]70[/C][C]0.159383[/C][C]0.318765[/C][C]0.840617[/C][/ROW]
[ROW][C]71[/C][C]0.164119[/C][C]0.328238[/C][C]0.835881[/C][/ROW]
[ROW][C]72[/C][C]0.152908[/C][C]0.305817[/C][C]0.847092[/C][/ROW]
[ROW][C]73[/C][C]0.138711[/C][C]0.277421[/C][C]0.861289[/C][/ROW]
[ROW][C]74[/C][C]0.123468[/C][C]0.246937[/C][C]0.876532[/C][/ROW]
[ROW][C]75[/C][C]0.110656[/C][C]0.221311[/C][C]0.889344[/C][/ROW]
[ROW][C]76[/C][C]0.117513[/C][C]0.235027[/C][C]0.882487[/C][/ROW]
[ROW][C]77[/C][C]0.200001[/C][C]0.400002[/C][C]0.799999[/C][/ROW]
[ROW][C]78[/C][C]0.189787[/C][C]0.379574[/C][C]0.810213[/C][/ROW]
[ROW][C]79[/C][C]0.179655[/C][C]0.35931[/C][C]0.820345[/C][/ROW]
[ROW][C]80[/C][C]0.172417[/C][C]0.344834[/C][C]0.827583[/C][/ROW]
[ROW][C]81[/C][C]0.171162[/C][C]0.342325[/C][C]0.828838[/C][/ROW]
[ROW][C]82[/C][C]0.150033[/C][C]0.300066[/C][C]0.849967[/C][/ROW]
[ROW][C]83[/C][C]0.178082[/C][C]0.356164[/C][C]0.821918[/C][/ROW]
[ROW][C]84[/C][C]0.156207[/C][C]0.312415[/C][C]0.843793[/C][/ROW]
[ROW][C]85[/C][C]0.173997[/C][C]0.347994[/C][C]0.826003[/C][/ROW]
[ROW][C]86[/C][C]0.15397[/C][C]0.307939[/C][C]0.84603[/C][/ROW]
[ROW][C]87[/C][C]0.268366[/C][C]0.536732[/C][C]0.731634[/C][/ROW]
[ROW][C]88[/C][C]0.250102[/C][C]0.500203[/C][C]0.749898[/C][/ROW]
[ROW][C]89[/C][C]0.226851[/C][C]0.453701[/C][C]0.773149[/C][/ROW]
[ROW][C]90[/C][C]0.20172[/C][C]0.40344[/C][C]0.79828[/C][/ROW]
[ROW][C]91[/C][C]0.179719[/C][C]0.359439[/C][C]0.820281[/C][/ROW]
[ROW][C]92[/C][C]0.170098[/C][C]0.340196[/C][C]0.829902[/C][/ROW]
[ROW][C]93[/C][C]0.179209[/C][C]0.358418[/C][C]0.820791[/C][/ROW]
[ROW][C]94[/C][C]0.188099[/C][C]0.376197[/C][C]0.811901[/C][/ROW]
[ROW][C]95[/C][C]0.280265[/C][C]0.56053[/C][C]0.719735[/C][/ROW]
[ROW][C]96[/C][C]0.281681[/C][C]0.563362[/C][C]0.718319[/C][/ROW]
[ROW][C]97[/C][C]0.27621[/C][C]0.55242[/C][C]0.72379[/C][/ROW]
[ROW][C]98[/C][C]0.298265[/C][C]0.596529[/C][C]0.701735[/C][/ROW]
[ROW][C]99[/C][C]0.29227[/C][C]0.58454[/C][C]0.70773[/C][/ROW]
[ROW][C]100[/C][C]0.374481[/C][C]0.748961[/C][C]0.625519[/C][/ROW]
[ROW][C]101[/C][C]0.3592[/C][C]0.7184[/C][C]0.6408[/C][/ROW]
[ROW][C]102[/C][C]0.405136[/C][C]0.810272[/C][C]0.594864[/C][/ROW]
[ROW][C]103[/C][C]0.46321[/C][C]0.926421[/C][C]0.53679[/C][/ROW]
[ROW][C]104[/C][C]0.435783[/C][C]0.871566[/C][C]0.564217[/C][/ROW]
[ROW][C]105[/C][C]0.419668[/C][C]0.839335[/C][C]0.580332[/C][/ROW]
[ROW][C]106[/C][C]0.422155[/C][C]0.84431[/C][C]0.577845[/C][/ROW]
[ROW][C]107[/C][C]0.43997[/C][C]0.87994[/C][C]0.56003[/C][/ROW]
[ROW][C]108[/C][C]0.472462[/C][C]0.944924[/C][C]0.527538[/C][/ROW]
[ROW][C]109[/C][C]0.498996[/C][C]0.997992[/C][C]0.501004[/C][/ROW]
[ROW][C]110[/C][C]0.517242[/C][C]0.965516[/C][C]0.482758[/C][/ROW]
[ROW][C]111[/C][C]0.716993[/C][C]0.566014[/C][C]0.283007[/C][/ROW]
[ROW][C]112[/C][C]0.756147[/C][C]0.487706[/C][C]0.243853[/C][/ROW]
[ROW][C]113[/C][C]0.764439[/C][C]0.471122[/C][C]0.235561[/C][/ROW]
[ROW][C]114[/C][C]0.760729[/C][C]0.478543[/C][C]0.239271[/C][/ROW]
[ROW][C]115[/C][C]0.750824[/C][C]0.498353[/C][C]0.249176[/C][/ROW]
[ROW][C]116[/C][C]0.861412[/C][C]0.277177[/C][C]0.138588[/C][/ROW]
[ROW][C]117[/C][C]0.856314[/C][C]0.287373[/C][C]0.143686[/C][/ROW]
[ROW][C]118[/C][C]0.918381[/C][C]0.163238[/C][C]0.0816191[/C][/ROW]
[ROW][C]119[/C][C]0.943934[/C][C]0.112131[/C][C]0.0560656[/C][/ROW]
[ROW][C]120[/C][C]0.937544[/C][C]0.124912[/C][C]0.0624561[/C][/ROW]
[ROW][C]121[/C][C]0.943091[/C][C]0.113818[/C][C]0.0569091[/C][/ROW]
[ROW][C]122[/C][C]0.939768[/C][C]0.120464[/C][C]0.0602322[/C][/ROW]
[ROW][C]123[/C][C]0.951807[/C][C]0.0963855[/C][C]0.0481927[/C][/ROW]
[ROW][C]124[/C][C]0.960714[/C][C]0.0785723[/C][C]0.0392862[/C][/ROW]
[ROW][C]125[/C][C]0.966584[/C][C]0.0668311[/C][C]0.0334155[/C][/ROW]
[ROW][C]126[/C][C]0.967925[/C][C]0.0641503[/C][C]0.0320751[/C][/ROW]
[ROW][C]127[/C][C]0.980287[/C][C]0.0394267[/C][C]0.0197133[/C][/ROW]
[ROW][C]128[/C][C]0.983417[/C][C]0.0331669[/C][C]0.0165835[/C][/ROW]
[ROW][C]129[/C][C]0.980492[/C][C]0.0390164[/C][C]0.0195082[/C][/ROW]
[ROW][C]130[/C][C]0.979948[/C][C]0.0401039[/C][C]0.020052[/C][/ROW]
[ROW][C]131[/C][C]0.981076[/C][C]0.037847[/C][C]0.0189235[/C][/ROW]
[ROW][C]132[/C][C]0.983988[/C][C]0.0320243[/C][C]0.0160121[/C][/ROW]
[ROW][C]133[/C][C]0.98316[/C][C]0.0336806[/C][C]0.0168403[/C][/ROW]
[ROW][C]134[/C][C]0.984372[/C][C]0.0312565[/C][C]0.0156282[/C][/ROW]
[ROW][C]135[/C][C]0.983598[/C][C]0.032803[/C][C]0.0164015[/C][/ROW]
[ROW][C]136[/C][C]0.981677[/C][C]0.0366451[/C][C]0.0183226[/C][/ROW]
[ROW][C]137[/C][C]0.978479[/C][C]0.0430429[/C][C]0.0215215[/C][/ROW]
[ROW][C]138[/C][C]0.974178[/C][C]0.0516439[/C][C]0.025822[/C][/ROW]
[ROW][C]139[/C][C]0.969872[/C][C]0.0602552[/C][C]0.0301276[/C][/ROW]
[ROW][C]140[/C][C]0.979071[/C][C]0.0418572[/C][C]0.0209286[/C][/ROW]
[ROW][C]141[/C][C]0.978974[/C][C]0.042052[/C][C]0.021026[/C][/ROW]
[ROW][C]142[/C][C]0.976839[/C][C]0.0463225[/C][C]0.0231613[/C][/ROW]
[ROW][C]143[/C][C]0.972393[/C][C]0.055213[/C][C]0.0276065[/C][/ROW]
[ROW][C]144[/C][C]0.967401[/C][C]0.065198[/C][C]0.032599[/C][/ROW]
[ROW][C]145[/C][C]0.983152[/C][C]0.0336952[/C][C]0.0168476[/C][/ROW]
[ROW][C]146[/C][C]0.982615[/C][C]0.0347706[/C][C]0.0173853[/C][/ROW]
[ROW][C]147[/C][C]0.982534[/C][C]0.0349313[/C][C]0.0174656[/C][/ROW]
[ROW][C]148[/C][C]0.981387[/C][C]0.0372267[/C][C]0.0186133[/C][/ROW]
[ROW][C]149[/C][C]0.979086[/C][C]0.0418278[/C][C]0.0209139[/C][/ROW]
[ROW][C]150[/C][C]0.979772[/C][C]0.0404561[/C][C]0.020228[/C][/ROW]
[ROW][C]151[/C][C]0.976343[/C][C]0.0473131[/C][C]0.0236566[/C][/ROW]
[ROW][C]152[/C][C]0.974754[/C][C]0.0504921[/C][C]0.025246[/C][/ROW]
[ROW][C]153[/C][C]0.970477[/C][C]0.0590458[/C][C]0.0295229[/C][/ROW]
[ROW][C]154[/C][C]0.966838[/C][C]0.0663243[/C][C]0.0331621[/C][/ROW]
[ROW][C]155[/C][C]0.965294[/C][C]0.0694125[/C][C]0.0347062[/C][/ROW]
[ROW][C]156[/C][C]0.987871[/C][C]0.0242578[/C][C]0.0121289[/C][/ROW]
[ROW][C]157[/C][C]0.986637[/C][C]0.0267258[/C][C]0.0133629[/C][/ROW]
[ROW][C]158[/C][C]0.986963[/C][C]0.0260738[/C][C]0.0130369[/C][/ROW]
[ROW][C]159[/C][C]0.984084[/C][C]0.0318328[/C][C]0.0159164[/C][/ROW]
[ROW][C]160[/C][C]0.984584[/C][C]0.0308326[/C][C]0.0154163[/C][/ROW]
[ROW][C]161[/C][C]0.98133[/C][C]0.0373394[/C][C]0.0186697[/C][/ROW]
[ROW][C]162[/C][C]0.980747[/C][C]0.0385063[/C][C]0.0192532[/C][/ROW]
[ROW][C]163[/C][C]0.977412[/C][C]0.045177[/C][C]0.0225885[/C][/ROW]
[ROW][C]164[/C][C]0.975804[/C][C]0.0483919[/C][C]0.024196[/C][/ROW]
[ROW][C]165[/C][C]0.971238[/C][C]0.0575238[/C][C]0.0287619[/C][/ROW]
[ROW][C]166[/C][C]0.981116[/C][C]0.0377688[/C][C]0.0188844[/C][/ROW]
[ROW][C]167[/C][C]0.977988[/C][C]0.044023[/C][C]0.0220115[/C][/ROW]
[ROW][C]168[/C][C]0.978026[/C][C]0.0439476[/C][C]0.0219738[/C][/ROW]
[ROW][C]169[/C][C]0.995614[/C][C]0.00877128[/C][C]0.00438564[/C][/ROW]
[ROW][C]170[/C][C]0.996609[/C][C]0.00678237[/C][C]0.00339118[/C][/ROW]
[ROW][C]171[/C][C]0.995631[/C][C]0.0087386[/C][C]0.0043693[/C][/ROW]
[ROW][C]172[/C][C]0.99556[/C][C]0.00887911[/C][C]0.00443955[/C][/ROW]
[ROW][C]173[/C][C]0.997083[/C][C]0.00583363[/C][C]0.00291682[/C][/ROW]
[ROW][C]174[/C][C]0.996219[/C][C]0.00756193[/C][C]0.00378096[/C][/ROW]
[ROW][C]175[/C][C]0.996424[/C][C]0.00715215[/C][C]0.00357608[/C][/ROW]
[ROW][C]176[/C][C]0.99567[/C][C]0.00865985[/C][C]0.00432993[/C][/ROW]
[ROW][C]177[/C][C]0.997038[/C][C]0.00592423[/C][C]0.00296211[/C][/ROW]
[ROW][C]178[/C][C]0.996735[/C][C]0.00653098[/C][C]0.00326549[/C][/ROW]
[ROW][C]179[/C][C]0.995902[/C][C]0.0081954[/C][C]0.0040977[/C][/ROW]
[ROW][C]180[/C][C]0.994922[/C][C]0.0101566[/C][C]0.00507829[/C][/ROW]
[ROW][C]181[/C][C]0.995784[/C][C]0.00843219[/C][C]0.0042161[/C][/ROW]
[ROW][C]182[/C][C]0.99526[/C][C]0.00947946[/C][C]0.00473973[/C][/ROW]
[ROW][C]183[/C][C]0.995174[/C][C]0.0096517[/C][C]0.00482585[/C][/ROW]
[ROW][C]184[/C][C]0.994578[/C][C]0.0108442[/C][C]0.00542209[/C][/ROW]
[ROW][C]185[/C][C]0.99594[/C][C]0.0081192[/C][C]0.0040596[/C][/ROW]
[ROW][C]186[/C][C]0.995589[/C][C]0.00882152[/C][C]0.00441076[/C][/ROW]
[ROW][C]187[/C][C]0.994472[/C][C]0.0110565[/C][C]0.00552826[/C][/ROW]
[ROW][C]188[/C][C]0.993548[/C][C]0.0129041[/C][C]0.00645206[/C][/ROW]
[ROW][C]189[/C][C]0.991955[/C][C]0.0160893[/C][C]0.00804464[/C][/ROW]
[ROW][C]190[/C][C]0.991528[/C][C]0.0169449[/C][C]0.00847244[/C][/ROW]
[ROW][C]191[/C][C]0.990033[/C][C]0.0199341[/C][C]0.00996706[/C][/ROW]
[ROW][C]192[/C][C]0.99458[/C][C]0.0108392[/C][C]0.0054196[/C][/ROW]
[ROW][C]193[/C][C]0.993368[/C][C]0.0132647[/C][C]0.00663233[/C][/ROW]
[ROW][C]194[/C][C]0.992093[/C][C]0.0158145[/C][C]0.00790727[/C][/ROW]
[ROW][C]195[/C][C]0.989879[/C][C]0.0202426[/C][C]0.0101213[/C][/ROW]
[ROW][C]196[/C][C]0.987551[/C][C]0.0248976[/C][C]0.0124488[/C][/ROW]
[ROW][C]197[/C][C]0.985549[/C][C]0.0289019[/C][C]0.014451[/C][/ROW]
[ROW][C]198[/C][C]0.983681[/C][C]0.0326374[/C][C]0.0163187[/C][/ROW]
[ROW][C]199[/C][C]0.989705[/C][C]0.0205906[/C][C]0.0102953[/C][/ROW]
[ROW][C]200[/C][C]0.98759[/C][C]0.0248194[/C][C]0.0124097[/C][/ROW]
[ROW][C]201[/C][C]0.98564[/C][C]0.02872[/C][C]0.01436[/C][/ROW]
[ROW][C]202[/C][C]0.98572[/C][C]0.0285606[/C][C]0.0142803[/C][/ROW]
[ROW][C]203[/C][C]0.981877[/C][C]0.036245[/C][C]0.0181225[/C][/ROW]
[ROW][C]204[/C][C]0.984463[/C][C]0.0310744[/C][C]0.0155372[/C][/ROW]
[ROW][C]205[/C][C]0.983987[/C][C]0.0320256[/C][C]0.0160128[/C][/ROW]
[ROW][C]206[/C][C]0.981584[/C][C]0.036832[/C][C]0.018416[/C][/ROW]
[ROW][C]207[/C][C]0.980158[/C][C]0.0396842[/C][C]0.0198421[/C][/ROW]
[ROW][C]208[/C][C]0.977783[/C][C]0.0444341[/C][C]0.0222171[/C][/ROW]
[ROW][C]209[/C][C]0.972569[/C][C]0.0548617[/C][C]0.0274308[/C][/ROW]
[ROW][C]210[/C][C]0.966411[/C][C]0.067179[/C][C]0.0335895[/C][/ROW]
[ROW][C]211[/C][C]0.973829[/C][C]0.0523418[/C][C]0.0261709[/C][/ROW]
[ROW][C]212[/C][C]0.971598[/C][C]0.0568034[/C][C]0.0284017[/C][/ROW]
[ROW][C]213[/C][C]0.969833[/C][C]0.0603344[/C][C]0.0301672[/C][/ROW]
[ROW][C]214[/C][C]0.96258[/C][C]0.0748392[/C][C]0.0374196[/C][/ROW]
[ROW][C]215[/C][C]0.958666[/C][C]0.0826688[/C][C]0.0413344[/C][/ROW]
[ROW][C]216[/C][C]0.954599[/C][C]0.0908012[/C][C]0.0454006[/C][/ROW]
[ROW][C]217[/C][C]0.945568[/C][C]0.108863[/C][C]0.0544316[/C][/ROW]
[ROW][C]218[/C][C]0.936131[/C][C]0.127738[/C][C]0.0638689[/C][/ROW]
[ROW][C]219[/C][C]0.948677[/C][C]0.102646[/C][C]0.0513232[/C][/ROW]
[ROW][C]220[/C][C]0.940313[/C][C]0.119375[/C][C]0.0596874[/C][/ROW]
[ROW][C]221[/C][C]0.937085[/C][C]0.12583[/C][C]0.0629149[/C][/ROW]
[ROW][C]222[/C][C]0.926535[/C][C]0.146929[/C][C]0.0734646[/C][/ROW]
[ROW][C]223[/C][C]0.923201[/C][C]0.153599[/C][C]0.0767995[/C][/ROW]
[ROW][C]224[/C][C]0.911083[/C][C]0.177833[/C][C]0.0889167[/C][/ROW]
[ROW][C]225[/C][C]0.900046[/C][C]0.199909[/C][C]0.0999543[/C][/ROW]
[ROW][C]226[/C][C]0.879459[/C][C]0.241082[/C][C]0.120541[/C][/ROW]
[ROW][C]227[/C][C]0.855912[/C][C]0.288176[/C][C]0.144088[/C][/ROW]
[ROW][C]228[/C][C]0.838923[/C][C]0.322153[/C][C]0.161077[/C][/ROW]
[ROW][C]229[/C][C]0.859232[/C][C]0.281536[/C][C]0.140768[/C][/ROW]
[ROW][C]230[/C][C]0.833227[/C][C]0.333546[/C][C]0.166773[/C][/ROW]
[ROW][C]231[/C][C]0.835616[/C][C]0.328769[/C][C]0.164384[/C][/ROW]
[ROW][C]232[/C][C]0.820168[/C][C]0.359663[/C][C]0.179832[/C][/ROW]
[ROW][C]233[/C][C]0.874819[/C][C]0.250362[/C][C]0.125181[/C][/ROW]
[ROW][C]234[/C][C]0.89195[/C][C]0.2161[/C][C]0.10805[/C][/ROW]
[ROW][C]235[/C][C]0.900831[/C][C]0.198338[/C][C]0.0991688[/C][/ROW]
[ROW][C]236[/C][C]0.887111[/C][C]0.225779[/C][C]0.112889[/C][/ROW]
[ROW][C]237[/C][C]0.900019[/C][C]0.199961[/C][C]0.0999805[/C][/ROW]
[ROW][C]238[/C][C]0.922493[/C][C]0.155014[/C][C]0.0775068[/C][/ROW]
[ROW][C]239[/C][C]0.90535[/C][C]0.1893[/C][C]0.0946501[/C][/ROW]
[ROW][C]240[/C][C]0.888061[/C][C]0.223877[/C][C]0.111939[/C][/ROW]
[ROW][C]241[/C][C]0.881546[/C][C]0.236908[/C][C]0.118454[/C][/ROW]
[ROW][C]242[/C][C]0.876754[/C][C]0.246493[/C][C]0.123246[/C][/ROW]
[ROW][C]243[/C][C]0.954721[/C][C]0.0905571[/C][C]0.0452786[/C][/ROW]
[ROW][C]244[/C][C]0.950478[/C][C]0.0990445[/C][C]0.0495222[/C][/ROW]
[ROW][C]245[/C][C]0.951831[/C][C]0.0963386[/C][C]0.0481693[/C][/ROW]
[ROW][C]246[/C][C]0.939053[/C][C]0.121893[/C][C]0.0609466[/C][/ROW]
[ROW][C]247[/C][C]0.921337[/C][C]0.157326[/C][C]0.0786628[/C][/ROW]
[ROW][C]248[/C][C]0.908639[/C][C]0.182722[/C][C]0.0913612[/C][/ROW]
[ROW][C]249[/C][C]0.889387[/C][C]0.221225[/C][C]0.110613[/C][/ROW]
[ROW][C]250[/C][C]0.879357[/C][C]0.241286[/C][C]0.120643[/C][/ROW]
[ROW][C]251[/C][C]0.867774[/C][C]0.264453[/C][C]0.132226[/C][/ROW]
[ROW][C]252[/C][C]0.926942[/C][C]0.146116[/C][C]0.0730579[/C][/ROW]
[ROW][C]253[/C][C]0.904427[/C][C]0.191147[/C][C]0.0955733[/C][/ROW]
[ROW][C]254[/C][C]0.880652[/C][C]0.238695[/C][C]0.119348[/C][/ROW]
[ROW][C]255[/C][C]0.853295[/C][C]0.29341[/C][C]0.146705[/C][/ROW]
[ROW][C]256[/C][C]0.821809[/C][C]0.356382[/C][C]0.178191[/C][/ROW]
[ROW][C]257[/C][C]0.780247[/C][C]0.439505[/C][C]0.219753[/C][/ROW]
[ROW][C]258[/C][C]0.730422[/C][C]0.539156[/C][C]0.269578[/C][/ROW]
[ROW][C]259[/C][C]0.687628[/C][C]0.624744[/C][C]0.312372[/C][/ROW]
[ROW][C]260[/C][C]0.687202[/C][C]0.625597[/C][C]0.312798[/C][/ROW]
[ROW][C]261[/C][C]0.626313[/C][C]0.747374[/C][C]0.373687[/C][/ROW]
[ROW][C]262[/C][C]0.564312[/C][C]0.871375[/C][C]0.435688[/C][/ROW]
[ROW][C]263[/C][C]0.618655[/C][C]0.762691[/C][C]0.381345[/C][/ROW]
[ROW][C]264[/C][C]0.555201[/C][C]0.889597[/C][C]0.444799[/C][/ROW]
[ROW][C]265[/C][C]0.555478[/C][C]0.889045[/C][C]0.444522[/C][/ROW]
[ROW][C]266[/C][C]0.924733[/C][C]0.150533[/C][C]0.0752666[/C][/ROW]
[ROW][C]267[/C][C]0.890794[/C][C]0.218413[/C][C]0.109206[/C][/ROW]
[ROW][C]268[/C][C]0.995729[/C][C]0.00854156[/C][C]0.00427078[/C][/ROW]
[ROW][C]269[/C][C]0.997862[/C][C]0.00427589[/C][C]0.00213795[/C][/ROW]
[ROW][C]270[/C][C]0.998015[/C][C]0.00396947[/C][C]0.00198474[/C][/ROW]
[ROW][C]271[/C][C]0.999849[/C][C]0.00030265[/C][C]0.000151325[/C][/ROW]
[ROW][C]272[/C][C]0.999533[/C][C]0.000933135[/C][C]0.000466568[/C][/ROW]
[ROW][C]273[/C][C]0.999111[/C][C]0.00177711[/C][C]0.000888555[/C][/ROW]
[ROW][C]274[/C][C]0.998197[/C][C]0.0036052[/C][C]0.0018026[/C][/ROW]
[ROW][C]275[/C][C]0.998168[/C][C]0.00366398[/C][C]0.00183199[/C][/ROW]
[ROW][C]276[/C][C]0.994772[/C][C]0.0104558[/C][C]0.00522791[/C][/ROW]
[ROW][C]277[/C][C]0.990913[/C][C]0.0181733[/C][C]0.00908664[/C][/ROW]
[ROW][C]278[/C][C]0.964451[/C][C]0.0710979[/C][C]0.0355489[/C][/ROW]
[ROW][C]279[/C][C]0.962807[/C][C]0.0743856[/C][C]0.0371928[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271107&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271107&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
80.9412360.1175290.0587644
90.8899730.2200550.110027
100.8338880.3322230.166112
110.8601810.2796380.139819
120.7972420.4055150.202758
130.8405440.3189130.159456
140.7786090.4427820.221391
150.7065220.5869550.293478
160.6637090.6725820.336291
170.6646150.6707690.335385
180.5982320.8035360.401768
190.5244730.9510550.475527
200.4553130.9106260.544687
210.3831440.7662880.616856
220.4278350.8556690.572165
230.380460.760920.61954
240.3213180.6426360.678682
250.2737810.5475630.726219
260.2250130.4500270.774987
270.1898970.3797930.810103
280.1549120.3098230.845088
290.2128940.4257880.787106
300.1793980.3587960.820602
310.1643850.3287690.835615
320.1395660.2791310.860434
330.1370630.2741260.862937
340.1893530.3787070.810647
350.1602280.3204570.839772
360.1834580.3669160.816542
370.155040.3100790.84496
380.127840.2556810.87216
390.1067750.2135510.893225
400.1129880.2259760.887012
410.1329440.2658880.867056
420.1191380.2382750.880862
430.1653990.3307980.834601
440.1423760.2847520.857624
450.1299150.2598310.870085
460.1130390.2260780.886961
470.1206760.2413530.879324
480.1029580.2059160.897042
490.08855340.1771070.911447
500.1092170.2184350.890783
510.1197310.2394620.880269
520.1226460.2452920.877354
530.107520.2150390.89248
540.1117770.2235540.888223
550.1033960.2067920.896604
560.1024490.2048990.897551
570.1009630.2019260.899037
580.08849820.1769960.911502
590.142850.2857010.85715
600.1754460.3508930.824554
610.1509850.301970.849015
620.1607870.3215740.839213
630.1665190.3330390.833481
640.1573390.3146790.842661
650.1596710.3193420.840329
660.202250.40450.79775
670.1965630.3931270.803437
680.1719290.3438570.828071
690.1715870.3431750.828413
700.1593830.3187650.840617
710.1641190.3282380.835881
720.1529080.3058170.847092
730.1387110.2774210.861289
740.1234680.2469370.876532
750.1106560.2213110.889344
760.1175130.2350270.882487
770.2000010.4000020.799999
780.1897870.3795740.810213
790.1796550.359310.820345
800.1724170.3448340.827583
810.1711620.3423250.828838
820.1500330.3000660.849967
830.1780820.3561640.821918
840.1562070.3124150.843793
850.1739970.3479940.826003
860.153970.3079390.84603
870.2683660.5367320.731634
880.2501020.5002030.749898
890.2268510.4537010.773149
900.201720.403440.79828
910.1797190.3594390.820281
920.1700980.3401960.829902
930.1792090.3584180.820791
940.1880990.3761970.811901
950.2802650.560530.719735
960.2816810.5633620.718319
970.276210.552420.72379
980.2982650.5965290.701735
990.292270.584540.70773
1000.3744810.7489610.625519
1010.35920.71840.6408
1020.4051360.8102720.594864
1030.463210.9264210.53679
1040.4357830.8715660.564217
1050.4196680.8393350.580332
1060.4221550.844310.577845
1070.439970.879940.56003
1080.4724620.9449240.527538
1090.4989960.9979920.501004
1100.5172420.9655160.482758
1110.7169930.5660140.283007
1120.7561470.4877060.243853
1130.7644390.4711220.235561
1140.7607290.4785430.239271
1150.7508240.4983530.249176
1160.8614120.2771770.138588
1170.8563140.2873730.143686
1180.9183810.1632380.0816191
1190.9439340.1121310.0560656
1200.9375440.1249120.0624561
1210.9430910.1138180.0569091
1220.9397680.1204640.0602322
1230.9518070.09638550.0481927
1240.9607140.07857230.0392862
1250.9665840.06683110.0334155
1260.9679250.06415030.0320751
1270.9802870.03942670.0197133
1280.9834170.03316690.0165835
1290.9804920.03901640.0195082
1300.9799480.04010390.020052
1310.9810760.0378470.0189235
1320.9839880.03202430.0160121
1330.983160.03368060.0168403
1340.9843720.03125650.0156282
1350.9835980.0328030.0164015
1360.9816770.03664510.0183226
1370.9784790.04304290.0215215
1380.9741780.05164390.025822
1390.9698720.06025520.0301276
1400.9790710.04185720.0209286
1410.9789740.0420520.021026
1420.9768390.04632250.0231613
1430.9723930.0552130.0276065
1440.9674010.0651980.032599
1450.9831520.03369520.0168476
1460.9826150.03477060.0173853
1470.9825340.03493130.0174656
1480.9813870.03722670.0186133
1490.9790860.04182780.0209139
1500.9797720.04045610.020228
1510.9763430.04731310.0236566
1520.9747540.05049210.025246
1530.9704770.05904580.0295229
1540.9668380.06632430.0331621
1550.9652940.06941250.0347062
1560.9878710.02425780.0121289
1570.9866370.02672580.0133629
1580.9869630.02607380.0130369
1590.9840840.03183280.0159164
1600.9845840.03083260.0154163
1610.981330.03733940.0186697
1620.9807470.03850630.0192532
1630.9774120.0451770.0225885
1640.9758040.04839190.024196
1650.9712380.05752380.0287619
1660.9811160.03776880.0188844
1670.9779880.0440230.0220115
1680.9780260.04394760.0219738
1690.9956140.008771280.00438564
1700.9966090.006782370.00339118
1710.9956310.00873860.0043693
1720.995560.008879110.00443955
1730.9970830.005833630.00291682
1740.9962190.007561930.00378096
1750.9964240.007152150.00357608
1760.995670.008659850.00432993
1770.9970380.005924230.00296211
1780.9967350.006530980.00326549
1790.9959020.00819540.0040977
1800.9949220.01015660.00507829
1810.9957840.008432190.0042161
1820.995260.009479460.00473973
1830.9951740.00965170.00482585
1840.9945780.01084420.00542209
1850.995940.00811920.0040596
1860.9955890.008821520.00441076
1870.9944720.01105650.00552826
1880.9935480.01290410.00645206
1890.9919550.01608930.00804464
1900.9915280.01694490.00847244
1910.9900330.01993410.00996706
1920.994580.01083920.0054196
1930.9933680.01326470.00663233
1940.9920930.01581450.00790727
1950.9898790.02024260.0101213
1960.9875510.02489760.0124488
1970.9855490.02890190.014451
1980.9836810.03263740.0163187
1990.9897050.02059060.0102953
2000.987590.02481940.0124097
2010.985640.028720.01436
2020.985720.02856060.0142803
2030.9818770.0362450.0181225
2040.9844630.03107440.0155372
2050.9839870.03202560.0160128
2060.9815840.0368320.018416
2070.9801580.03968420.0198421
2080.9777830.04443410.0222171
2090.9725690.05486170.0274308
2100.9664110.0671790.0335895
2110.9738290.05234180.0261709
2120.9715980.05680340.0284017
2130.9698330.06033440.0301672
2140.962580.07483920.0374196
2150.9586660.08266880.0413344
2160.9545990.09080120.0454006
2170.9455680.1088630.0544316
2180.9361310.1277380.0638689
2190.9486770.1026460.0513232
2200.9403130.1193750.0596874
2210.9370850.125830.0629149
2220.9265350.1469290.0734646
2230.9232010.1535990.0767995
2240.9110830.1778330.0889167
2250.9000460.1999090.0999543
2260.8794590.2410820.120541
2270.8559120.2881760.144088
2280.8389230.3221530.161077
2290.8592320.2815360.140768
2300.8332270.3335460.166773
2310.8356160.3287690.164384
2320.8201680.3596630.179832
2330.8748190.2503620.125181
2340.891950.21610.10805
2350.9008310.1983380.0991688
2360.8871110.2257790.112889
2370.9000190.1999610.0999805
2380.9224930.1550140.0775068
2390.905350.18930.0946501
2400.8880610.2238770.111939
2410.8815460.2369080.118454
2420.8767540.2464930.123246
2430.9547210.09055710.0452786
2440.9504780.09904450.0495222
2450.9518310.09633860.0481693
2460.9390530.1218930.0609466
2470.9213370.1573260.0786628
2480.9086390.1827220.0913612
2490.8893870.2212250.110613
2500.8793570.2412860.120643
2510.8677740.2644530.132226
2520.9269420.1461160.0730579
2530.9044270.1911470.0955733
2540.8806520.2386950.119348
2550.8532950.293410.146705
2560.8218090.3563820.178191
2570.7802470.4395050.219753
2580.7304220.5391560.269578
2590.6876280.6247440.312372
2600.6872020.6255970.312798
2610.6263130.7473740.373687
2620.5643120.8713750.435688
2630.6186550.7626910.381345
2640.5552010.8895970.444799
2650.5554780.8890450.444522
2660.9247330.1505330.0752666
2670.8907940.2184130.109206
2680.9957290.008541560.00427078
2690.9978620.004275890.00213795
2700.9980150.003969470.00198474
2710.9998490.000302650.000151325
2720.9995330.0009331350.000466568
2730.9991110.001777110.000888555
2740.9981970.00360520.0018026
2750.9981680.003663980.00183199
2760.9947720.01045580.00522791
2770.9909130.01817330.00908664
2780.9644510.07109790.0355489
2790.9628070.07438560.0371928






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level240.0882353NOK
5% type I error level830.305147NOK
10% type I error level1090.400735NOK

\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 & 24 & 0.0882353 & NOK \tabularnewline
5% type I error level & 83 & 0.305147 & NOK \tabularnewline
10% type I error level & 109 & 0.400735 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271107&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]24[/C][C]0.0882353[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]83[/C][C]0.305147[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]109[/C][C]0.400735[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271107&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271107&T=6

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


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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level240.0882353NOK
5% type I error level830.305147NOK
10% type I error level1090.400735NOK


Figures (Output of Computation)

Figure 1
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 2
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 3
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 4
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 5
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 6
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 7
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 8
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 9
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 10
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Input Parameters & R Code

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