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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationThu, 18 Dec 2014 15:08:47 +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/t1418915484hmm4c89qojgk6u3.htm/, Retrieved Fri, 17 May 2024 17:32:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=271050, Retrieved Fri, 17 May 2024 17:32:48 +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)
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Dataset

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

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=271050&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=271050&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271050&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
TOT[t] = + 8.214 + 0.00826826LFM[t] + 0.00437555PRH[t] + 0.0272763B[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
TOT[t] =  +  8.214 +  0.00826826LFM[t] +  0.00437555PRH[t] +  0.0272763B[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271050&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]TOT[t] =  +  8.214 +  0.00826826LFM[t] +  0.00437555PRH[t] +  0.0272763B[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271050&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271050&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
TOT[t] = + 8.214 + 0.00826826LFM[t] + 0.00437555PRH[t] + 0.0272763B[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)8.2140.54399215.13.6963e-381.84815e-38
LFM0.008268260.004616811.7910.07438090.0371905
PRH0.004375550.00933090.46890.6394810.319741
B0.02727630.0024655311.067.21873e-243.60936e-24

\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) & 8.214 & 0.543992 & 15.1 & 3.6963e-38 & 1.84815e-38 \tabularnewline
LFM & 0.00826826 & 0.00461681 & 1.791 & 0.0743809 & 0.0371905 \tabularnewline
PRH & 0.00437555 & 0.0093309 & 0.4689 & 0.639481 & 0.319741 \tabularnewline
B & 0.0272763 & 0.00246553 & 11.06 & 7.21873e-24 & 3.60936e-24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271050&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]8.214[/C][C]0.543992[/C][C]15.1[/C][C]3.6963e-38[/C][C]1.84815e-38[/C][/ROW]
[ROW][C]LFM[/C][C]0.00826826[/C][C]0.00461681[/C][C]1.791[/C][C]0.0743809[/C][C]0.0371905[/C][/ROW]
[ROW][C]PRH[/C][C]0.00437555[/C][C]0.0093309[/C][C]0.4689[/C][C]0.639481[/C][C]0.319741[/C][/ROW]
[ROW][C]B[/C][C]0.0272763[/C][C]0.00246553[/C][C]11.06[/C][C]7.21873e-24[/C][C]3.60936e-24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271050&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271050&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)8.2140.54399215.13.6963e-381.84815e-38
LFM0.008268260.004616811.7910.07438090.0371905
PRH0.004375550.00933090.46890.6394810.319741
B0.02727630.0024655311.067.21873e-243.60936e-24






Multiple Linear Regression - Regression Statistics
Multiple R0.599256
R-squared0.359108
Adjusted R-squared0.35229
F-TEST (value)52.6705
F-TEST (DF numerator)3
F-TEST (DF denominator)282
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.75345
Sum Squared Residuals2137.98

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.599256 \tabularnewline
R-squared & 0.359108 \tabularnewline
Adjusted R-squared & 0.35229 \tabularnewline
F-TEST (value) & 52.6705 \tabularnewline
F-TEST (DF numerator) & 3 \tabularnewline
F-TEST (DF denominator) & 282 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.75345 \tabularnewline
Sum Squared Residuals & 2137.98 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271050&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.599256[/C][/ROW]
[ROW][C]R-squared[/C][C]0.359108[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.35229[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]52.6705[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]3[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]282[/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]2.75345[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]2137.98[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271050&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271050&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 R0.599256
R-squared0.359108
Adjusted R-squared0.35229
F-TEST (value)52.6705
F-TEST (DF numerator)3
F-TEST (DF denominator)282
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.75345
Sum Squared Residuals2137.98






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
112.912.14330.756743
27.411.5471-4.14713
312.211.40830.791729
412.812.00870.791336
57.412.8312-5.43116
66.711.29-4.59004
712.615.1599-2.55988
814.812.79132.0087
913.312.61010.68987
1011.112.866-1.76597
118.214.0664-5.86635
1211.412.8823-1.48233
136.414.6232-8.22319
1410.611.4645-0.864469
151213.8171-1.81709
166.39.70704-3.40704
1711.311.26230.0377196
1811.913.944-2.04401
199.312.0426-2.74259
209.612.2309-2.63088
211011.6063-1.60631
226.411.4826-5.0826
2313.812.68271.11733
2410.813.113-2.313
2513.812.37441.4256
2611.712.7066-1.00657
2710.915.0576-4.1576
2816.113.65152.44851
2913.411.182.22003
309.911.342-1.44199
3111.512.112-0.612003
328.311.9559-3.65587
3311.713.2171-1.51706
346.111.8794-5.77939
35912.2189-3.21886
369.714.3392-4.63923
3710.812.5435-1.74347
3810.312.7208-2.42077
3910.411.6328-1.23279
4012.712.45740.242614
419.312.2157-2.91568
4211.814.2827-2.48269
435.910.5679-4.66793
4411.413.8039-2.40393
451311.80051.19954
4610.812.5634-1.76343
4712.310.49361.8064
4811.313.3188-2.01876
4911.812.6288-0.82877
507.911.1889-3.28895
5112.710.20382.49615
5212.310.64861.65144
5311.611.9589-0.358938
546.711.0316-4.33159
5510.912.9577-2.05765
5612.112.4286-0.328579
5713.313.4945-0.194454
5810.113.2561-3.1561
595.711.5682-5.86821
6014.312.14522.15478
6189.34043-1.34043
6213.311.81311.48688
639.312.9374-3.63737
6412.511.34551.15449
657.610.8297-3.22972
6615.913.86372.03625
679.211.2601-2.0601
689.110.5188-1.4188
6911.114.1838-3.08376
701313.9704-0.970409
7114.512.62561.87443
7212.211.02291.1771
7312.313.4916-1.19162
7411.411.21020.189796
758.811.3673-2.56726
7614.611.33643.26356
777.312.3844-5.08442
7812.612.9947-0.394674
79NANA-0.72395
801311.55531.44469
8112.614.1289-1.52894
8213.214.4928-1.29275
839.913.782-3.88201
847.77.83382-0.133817
8510.57.619712.88029
8613.414.4515-1.05152
8710.916.5959-5.69592
884.35.06254-0.762542
8910.310.3436-0.0435804
9011.811.23590.56414
9111.210.54010.659865
9211.412.8884-1.48837
938.66.333042.26696
9413.210.95572.24435
9512.617.9635-5.36352
965.67.1358-1.5358
979.912.8601-2.96007
988.812.6296-3.82962
997.78.91726-1.21726
100913.8386-4.83862
1017.36.693160.606843
10211.49.042852.35715
10313.616.3876-2.78758
1047.98.18596-0.285963
10510.712.0129-1.31287
10610.312.2356-1.93564
1078.39.64221-1.34221
1089.67.131292.46871
10914.216.1009-1.90089
1108.55.586082.91392
11113.519.2847-5.78468
1124.98.65187-3.75187
1136.47.29414-0.89414
1149.68.685760.914241
11511.610.65220.947809
11611.116.5798-5.47984
1174.354.329760.0202354
11812.79.162923.53708
11918.115.11442.98562
12017.8517.70080.14919
12116.613.79222.80783
12212.617.5199-4.91988
12317.113.68573.41431
12419.122.1449-3.04492
12516.113.16562.93437
12613.3512.4710.878987
12718.414.61183.78817
12814.718.7711-4.07111
12910.611.5246-0.924571
13012.611.2881.31198
13116.220.2796-4.07961
13213.610.59583.00421
13318.916.95251.94754
13414.111.2032.89702
13514.516.5376-2.03764
13616.1514.77291.37713
13714.7514.13820.611762
13814.814.5360.263963
13912.4514.4913-2.04134
14012.658.871233.77877
14117.3520.7375-3.38746
1428.67.850550.749452
14318.420.4842-2.08417
14416.115.49960.60037
14511.65.503876.09613
14617.7516.21911.53094
14715.2513.66641.58358
14817.6515.47392.17615
14915.614.19971.40035
15016.3513.63712.71285
15117.6516.89530.754694
15213.613.8159-0.215924
15311.710.77420.92584
15414.3517.1092-2.75916
15514.7512.52142.22859
15618.2523.2489-4.99885
1579.98.128221.77178
1581613.19832.80167
15918.2518.4697-0.219735
16016.8514.63782.2122
16114.614.59110.00891177
16213.8511.31112.5389
16318.9517.81651.13354
16415.618.1974-2.59736
16514.8515.4563-0.606258
16611.756.33595.4141
16718.4519.8201-1.37012
16815.912.86243.03757
16917.111.83165.26844
17016.111.03385.06619
17119.919.25440.64558
17210.958.354512.59549
17318.4513.58444.86555
17415.115.4759-0.375922
1751517.8076-2.80763
17611.3510.41360.936398
17715.9511.12744.82256
17818.116.30951.79052
17914.614.9255-0.325494
18015.415.7255-0.325494
18115.411.36984.03017
18217.618.0803-0.480265
18313.3510.6762.67404
18419.116.70322.39678
18515.3519.8369-4.48687
1867.68.41094-0.810937
18713.412.87820.521754
18813.911.91371.98631
18919.117.68981.41019
19015.2514.12751.12247
19112.910.64592.25405
19216.110.77045.32958
19317.3516.38840.961629
19413.1510.47762.67244
19512.1512.11670.0333456
19612.613.652-1.05198
19710.357.654922.69508
19815.416.562-1.16201
1999.64.513385.08662
20018.216.6161.58398
20113.613.32650.273476
20214.8517.0038-2.15383
20314.7514.48260.26738
20414.110.36923.73077
20514.911.33623.56381
20616.2514.28161.96836
20719.2517.49471.75526
20813.613.07660.523439
20913.612.96550.634549
21015.6514.77650.873459
21112.759.159173.59083
21214.618.0971-3.49707
2139.858.169141.68086
21412.6512.8232-0.173151
21511.99.305152.59485
21619.216.88882.31124
21716.615.37761.22241
21811.28.734622.46538
21915.2518.6016-3.35162
22011.914.3131-2.41314
22113.214.083-0.88305
22216.3517.1969-0.846919
22312.49.443382.95662
22415.8514.71261.13737
22514.3510.88983.46015
22618.1518.4459-0.29588
22711.1510.9970.152981
22815.6513.90661.74345
22917.7522.5139-4.76391
2307.656.868890.781114
23112.357.895514.45449
23215.612.44583.15422
23319.315.77333.52667
23415.211.15974.04032
23517.114.01533.08469
23615.612.41763.18242
23718.414.31154.08853
23819.0513.38555.66446
23918.5516.52692.02311
24019.117.6151.48503
24113.113.1059-0.00593775
24212.8514.6718-1.82181
2439.516.0646-6.56458
2444.53.008891.49111
24511.8513.9808-2.13078
24613.615.298-1.69799
24711.710.60221.09777
24812.413.8727-1.4727
24913.3515.7781-2.42813
25011.48.01823.3818
25114.99.833815.06619
25219.913.84586.05416
25317.7518.1127-0.362688
25411.212.0206-0.820646
25514.613.02571.57427
25617.615.75331.84674
25714.0513.24260.80738
25816.115.65180.448208
25913.3513.5453-0.195259
26011.8514.2885-2.43849
26111.9511.83870.111278
26214.7512.86341.8866
26315.1515.3882-0.238174
26413.211.8131.38702
26516.8519.0615-2.21146
2667.8514.5885-6.7385
2677.76.652231.04777
26812.616.1576-3.55764
2697.857.204420.64558
27010.9510.48880.461245
27112.3514.8567-2.5067
2729.956.56823.3818
27314.912.762.14002
27416.6516.19320.456818
27513.412.65790.742094
27613.959.638494.31151
27715.711.01894.68106
27816.8516.24170.6083
27910.956.996313.95369
28015.3514.13481.2152
28112.211.20880.991206
28215.113.81651.28353
28317.7515.31482.43525
28415.213.73911.46093
28514.612.60781.99215
28616.6519.2048-2.55475
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 & 12.1433 & 0.756743 \tabularnewline
2 & 7.4 & 11.5471 & -4.14713 \tabularnewline
3 & 12.2 & 11.4083 & 0.791729 \tabularnewline
4 & 12.8 & 12.0087 & 0.791336 \tabularnewline
5 & 7.4 & 12.8312 & -5.43116 \tabularnewline
6 & 6.7 & 11.29 & -4.59004 \tabularnewline
7 & 12.6 & 15.1599 & -2.55988 \tabularnewline
8 & 14.8 & 12.7913 & 2.0087 \tabularnewline
9 & 13.3 & 12.6101 & 0.68987 \tabularnewline
10 & 11.1 & 12.866 & -1.76597 \tabularnewline
11 & 8.2 & 14.0664 & -5.86635 \tabularnewline
12 & 11.4 & 12.8823 & -1.48233 \tabularnewline
13 & 6.4 & 14.6232 & -8.22319 \tabularnewline
14 & 10.6 & 11.4645 & -0.864469 \tabularnewline
15 & 12 & 13.8171 & -1.81709 \tabularnewline
16 & 6.3 & 9.70704 & -3.40704 \tabularnewline
17 & 11.3 & 11.2623 & 0.0377196 \tabularnewline
18 & 11.9 & 13.944 & -2.04401 \tabularnewline
19 & 9.3 & 12.0426 & -2.74259 \tabularnewline
20 & 9.6 & 12.2309 & -2.63088 \tabularnewline
21 & 10 & 11.6063 & -1.60631 \tabularnewline
22 & 6.4 & 11.4826 & -5.0826 \tabularnewline
23 & 13.8 & 12.6827 & 1.11733 \tabularnewline
24 & 10.8 & 13.113 & -2.313 \tabularnewline
25 & 13.8 & 12.3744 & 1.4256 \tabularnewline
26 & 11.7 & 12.7066 & -1.00657 \tabularnewline
27 & 10.9 & 15.0576 & -4.1576 \tabularnewline
28 & 16.1 & 13.6515 & 2.44851 \tabularnewline
29 & 13.4 & 11.18 & 2.22003 \tabularnewline
30 & 9.9 & 11.342 & -1.44199 \tabularnewline
31 & 11.5 & 12.112 & -0.612003 \tabularnewline
32 & 8.3 & 11.9559 & -3.65587 \tabularnewline
33 & 11.7 & 13.2171 & -1.51706 \tabularnewline
34 & 6.1 & 11.8794 & -5.77939 \tabularnewline
35 & 9 & 12.2189 & -3.21886 \tabularnewline
36 & 9.7 & 14.3392 & -4.63923 \tabularnewline
37 & 10.8 & 12.5435 & -1.74347 \tabularnewline
38 & 10.3 & 12.7208 & -2.42077 \tabularnewline
39 & 10.4 & 11.6328 & -1.23279 \tabularnewline
40 & 12.7 & 12.4574 & 0.242614 \tabularnewline
41 & 9.3 & 12.2157 & -2.91568 \tabularnewline
42 & 11.8 & 14.2827 & -2.48269 \tabularnewline
43 & 5.9 & 10.5679 & -4.66793 \tabularnewline
44 & 11.4 & 13.8039 & -2.40393 \tabularnewline
45 & 13 & 11.8005 & 1.19954 \tabularnewline
46 & 10.8 & 12.5634 & -1.76343 \tabularnewline
47 & 12.3 & 10.4936 & 1.8064 \tabularnewline
48 & 11.3 & 13.3188 & -2.01876 \tabularnewline
49 & 11.8 & 12.6288 & -0.82877 \tabularnewline
50 & 7.9 & 11.1889 & -3.28895 \tabularnewline
51 & 12.7 & 10.2038 & 2.49615 \tabularnewline
52 & 12.3 & 10.6486 & 1.65144 \tabularnewline
53 & 11.6 & 11.9589 & -0.358938 \tabularnewline
54 & 6.7 & 11.0316 & -4.33159 \tabularnewline
55 & 10.9 & 12.9577 & -2.05765 \tabularnewline
56 & 12.1 & 12.4286 & -0.328579 \tabularnewline
57 & 13.3 & 13.4945 & -0.194454 \tabularnewline
58 & 10.1 & 13.2561 & -3.1561 \tabularnewline
59 & 5.7 & 11.5682 & -5.86821 \tabularnewline
60 & 14.3 & 12.1452 & 2.15478 \tabularnewline
61 & 8 & 9.34043 & -1.34043 \tabularnewline
62 & 13.3 & 11.8131 & 1.48688 \tabularnewline
63 & 9.3 & 12.9374 & -3.63737 \tabularnewline
64 & 12.5 & 11.3455 & 1.15449 \tabularnewline
65 & 7.6 & 10.8297 & -3.22972 \tabularnewline
66 & 15.9 & 13.8637 & 2.03625 \tabularnewline
67 & 9.2 & 11.2601 & -2.0601 \tabularnewline
68 & 9.1 & 10.5188 & -1.4188 \tabularnewline
69 & 11.1 & 14.1838 & -3.08376 \tabularnewline
70 & 13 & 13.9704 & -0.970409 \tabularnewline
71 & 14.5 & 12.6256 & 1.87443 \tabularnewline
72 & 12.2 & 11.0229 & 1.1771 \tabularnewline
73 & 12.3 & 13.4916 & -1.19162 \tabularnewline
74 & 11.4 & 11.2102 & 0.189796 \tabularnewline
75 & 8.8 & 11.3673 & -2.56726 \tabularnewline
76 & 14.6 & 11.3364 & 3.26356 \tabularnewline
77 & 7.3 & 12.3844 & -5.08442 \tabularnewline
78 & 12.6 & 12.9947 & -0.394674 \tabularnewline
79 & NA & NA & -0.72395 \tabularnewline
80 & 13 & 11.5553 & 1.44469 \tabularnewline
81 & 12.6 & 14.1289 & -1.52894 \tabularnewline
82 & 13.2 & 14.4928 & -1.29275 \tabularnewline
83 & 9.9 & 13.782 & -3.88201 \tabularnewline
84 & 7.7 & 7.83382 & -0.133817 \tabularnewline
85 & 10.5 & 7.61971 & 2.88029 \tabularnewline
86 & 13.4 & 14.4515 & -1.05152 \tabularnewline
87 & 10.9 & 16.5959 & -5.69592 \tabularnewline
88 & 4.3 & 5.06254 & -0.762542 \tabularnewline
89 & 10.3 & 10.3436 & -0.0435804 \tabularnewline
90 & 11.8 & 11.2359 & 0.56414 \tabularnewline
91 & 11.2 & 10.5401 & 0.659865 \tabularnewline
92 & 11.4 & 12.8884 & -1.48837 \tabularnewline
93 & 8.6 & 6.33304 & 2.26696 \tabularnewline
94 & 13.2 & 10.9557 & 2.24435 \tabularnewline
95 & 12.6 & 17.9635 & -5.36352 \tabularnewline
96 & 5.6 & 7.1358 & -1.5358 \tabularnewline
97 & 9.9 & 12.8601 & -2.96007 \tabularnewline
98 & 8.8 & 12.6296 & -3.82962 \tabularnewline
99 & 7.7 & 8.91726 & -1.21726 \tabularnewline
100 & 9 & 13.8386 & -4.83862 \tabularnewline
101 & 7.3 & 6.69316 & 0.606843 \tabularnewline
102 & 11.4 & 9.04285 & 2.35715 \tabularnewline
103 & 13.6 & 16.3876 & -2.78758 \tabularnewline
104 & 7.9 & 8.18596 & -0.285963 \tabularnewline
105 & 10.7 & 12.0129 & -1.31287 \tabularnewline
106 & 10.3 & 12.2356 & -1.93564 \tabularnewline
107 & 8.3 & 9.64221 & -1.34221 \tabularnewline
108 & 9.6 & 7.13129 & 2.46871 \tabularnewline
109 & 14.2 & 16.1009 & -1.90089 \tabularnewline
110 & 8.5 & 5.58608 & 2.91392 \tabularnewline
111 & 13.5 & 19.2847 & -5.78468 \tabularnewline
112 & 4.9 & 8.65187 & -3.75187 \tabularnewline
113 & 6.4 & 7.29414 & -0.89414 \tabularnewline
114 & 9.6 & 8.68576 & 0.914241 \tabularnewline
115 & 11.6 & 10.6522 & 0.947809 \tabularnewline
116 & 11.1 & 16.5798 & -5.47984 \tabularnewline
117 & 4.35 & 4.32976 & 0.0202354 \tabularnewline
118 & 12.7 & 9.16292 & 3.53708 \tabularnewline
119 & 18.1 & 15.1144 & 2.98562 \tabularnewline
120 & 17.85 & 17.7008 & 0.14919 \tabularnewline
121 & 16.6 & 13.7922 & 2.80783 \tabularnewline
122 & 12.6 & 17.5199 & -4.91988 \tabularnewline
123 & 17.1 & 13.6857 & 3.41431 \tabularnewline
124 & 19.1 & 22.1449 & -3.04492 \tabularnewline
125 & 16.1 & 13.1656 & 2.93437 \tabularnewline
126 & 13.35 & 12.471 & 0.878987 \tabularnewline
127 & 18.4 & 14.6118 & 3.78817 \tabularnewline
128 & 14.7 & 18.7711 & -4.07111 \tabularnewline
129 & 10.6 & 11.5246 & -0.924571 \tabularnewline
130 & 12.6 & 11.288 & 1.31198 \tabularnewline
131 & 16.2 & 20.2796 & -4.07961 \tabularnewline
132 & 13.6 & 10.5958 & 3.00421 \tabularnewline
133 & 18.9 & 16.9525 & 1.94754 \tabularnewline
134 & 14.1 & 11.203 & 2.89702 \tabularnewline
135 & 14.5 & 16.5376 & -2.03764 \tabularnewline
136 & 16.15 & 14.7729 & 1.37713 \tabularnewline
137 & 14.75 & 14.1382 & 0.611762 \tabularnewline
138 & 14.8 & 14.536 & 0.263963 \tabularnewline
139 & 12.45 & 14.4913 & -2.04134 \tabularnewline
140 & 12.65 & 8.87123 & 3.77877 \tabularnewline
141 & 17.35 & 20.7375 & -3.38746 \tabularnewline
142 & 8.6 & 7.85055 & 0.749452 \tabularnewline
143 & 18.4 & 20.4842 & -2.08417 \tabularnewline
144 & 16.1 & 15.4996 & 0.60037 \tabularnewline
145 & 11.6 & 5.50387 & 6.09613 \tabularnewline
146 & 17.75 & 16.2191 & 1.53094 \tabularnewline
147 & 15.25 & 13.6664 & 1.58358 \tabularnewline
148 & 17.65 & 15.4739 & 2.17615 \tabularnewline
149 & 15.6 & 14.1997 & 1.40035 \tabularnewline
150 & 16.35 & 13.6371 & 2.71285 \tabularnewline
151 & 17.65 & 16.8953 & 0.754694 \tabularnewline
152 & 13.6 & 13.8159 & -0.215924 \tabularnewline
153 & 11.7 & 10.7742 & 0.92584 \tabularnewline
154 & 14.35 & 17.1092 & -2.75916 \tabularnewline
155 & 14.75 & 12.5214 & 2.22859 \tabularnewline
156 & 18.25 & 23.2489 & -4.99885 \tabularnewline
157 & 9.9 & 8.12822 & 1.77178 \tabularnewline
158 & 16 & 13.1983 & 2.80167 \tabularnewline
159 & 18.25 & 18.4697 & -0.219735 \tabularnewline
160 & 16.85 & 14.6378 & 2.2122 \tabularnewline
161 & 14.6 & 14.5911 & 0.00891177 \tabularnewline
162 & 13.85 & 11.3111 & 2.5389 \tabularnewline
163 & 18.95 & 17.8165 & 1.13354 \tabularnewline
164 & 15.6 & 18.1974 & -2.59736 \tabularnewline
165 & 14.85 & 15.4563 & -0.606258 \tabularnewline
166 & 11.75 & 6.3359 & 5.4141 \tabularnewline
167 & 18.45 & 19.8201 & -1.37012 \tabularnewline
168 & 15.9 & 12.8624 & 3.03757 \tabularnewline
169 & 17.1 & 11.8316 & 5.26844 \tabularnewline
170 & 16.1 & 11.0338 & 5.06619 \tabularnewline
171 & 19.9 & 19.2544 & 0.64558 \tabularnewline
172 & 10.95 & 8.35451 & 2.59549 \tabularnewline
173 & 18.45 & 13.5844 & 4.86555 \tabularnewline
174 & 15.1 & 15.4759 & -0.375922 \tabularnewline
175 & 15 & 17.8076 & -2.80763 \tabularnewline
176 & 11.35 & 10.4136 & 0.936398 \tabularnewline
177 & 15.95 & 11.1274 & 4.82256 \tabularnewline
178 & 18.1 & 16.3095 & 1.79052 \tabularnewline
179 & 14.6 & 14.9255 & -0.325494 \tabularnewline
180 & 15.4 & 15.7255 & -0.325494 \tabularnewline
181 & 15.4 & 11.3698 & 4.03017 \tabularnewline
182 & 17.6 & 18.0803 & -0.480265 \tabularnewline
183 & 13.35 & 10.676 & 2.67404 \tabularnewline
184 & 19.1 & 16.7032 & 2.39678 \tabularnewline
185 & 15.35 & 19.8369 & -4.48687 \tabularnewline
186 & 7.6 & 8.41094 & -0.810937 \tabularnewline
187 & 13.4 & 12.8782 & 0.521754 \tabularnewline
188 & 13.9 & 11.9137 & 1.98631 \tabularnewline
189 & 19.1 & 17.6898 & 1.41019 \tabularnewline
190 & 15.25 & 14.1275 & 1.12247 \tabularnewline
191 & 12.9 & 10.6459 & 2.25405 \tabularnewline
192 & 16.1 & 10.7704 & 5.32958 \tabularnewline
193 & 17.35 & 16.3884 & 0.961629 \tabularnewline
194 & 13.15 & 10.4776 & 2.67244 \tabularnewline
195 & 12.15 & 12.1167 & 0.0333456 \tabularnewline
196 & 12.6 & 13.652 & -1.05198 \tabularnewline
197 & 10.35 & 7.65492 & 2.69508 \tabularnewline
198 & 15.4 & 16.562 & -1.16201 \tabularnewline
199 & 9.6 & 4.51338 & 5.08662 \tabularnewline
200 & 18.2 & 16.616 & 1.58398 \tabularnewline
201 & 13.6 & 13.3265 & 0.273476 \tabularnewline
202 & 14.85 & 17.0038 & -2.15383 \tabularnewline
203 & 14.75 & 14.4826 & 0.26738 \tabularnewline
204 & 14.1 & 10.3692 & 3.73077 \tabularnewline
205 & 14.9 & 11.3362 & 3.56381 \tabularnewline
206 & 16.25 & 14.2816 & 1.96836 \tabularnewline
207 & 19.25 & 17.4947 & 1.75526 \tabularnewline
208 & 13.6 & 13.0766 & 0.523439 \tabularnewline
209 & 13.6 & 12.9655 & 0.634549 \tabularnewline
210 & 15.65 & 14.7765 & 0.873459 \tabularnewline
211 & 12.75 & 9.15917 & 3.59083 \tabularnewline
212 & 14.6 & 18.0971 & -3.49707 \tabularnewline
213 & 9.85 & 8.16914 & 1.68086 \tabularnewline
214 & 12.65 & 12.8232 & -0.173151 \tabularnewline
215 & 11.9 & 9.30515 & 2.59485 \tabularnewline
216 & 19.2 & 16.8888 & 2.31124 \tabularnewline
217 & 16.6 & 15.3776 & 1.22241 \tabularnewline
218 & 11.2 & 8.73462 & 2.46538 \tabularnewline
219 & 15.25 & 18.6016 & -3.35162 \tabularnewline
220 & 11.9 & 14.3131 & -2.41314 \tabularnewline
221 & 13.2 & 14.083 & -0.88305 \tabularnewline
222 & 16.35 & 17.1969 & -0.846919 \tabularnewline
223 & 12.4 & 9.44338 & 2.95662 \tabularnewline
224 & 15.85 & 14.7126 & 1.13737 \tabularnewline
225 & 14.35 & 10.8898 & 3.46015 \tabularnewline
226 & 18.15 & 18.4459 & -0.29588 \tabularnewline
227 & 11.15 & 10.997 & 0.152981 \tabularnewline
228 & 15.65 & 13.9066 & 1.74345 \tabularnewline
229 & 17.75 & 22.5139 & -4.76391 \tabularnewline
230 & 7.65 & 6.86889 & 0.781114 \tabularnewline
231 & 12.35 & 7.89551 & 4.45449 \tabularnewline
232 & 15.6 & 12.4458 & 3.15422 \tabularnewline
233 & 19.3 & 15.7733 & 3.52667 \tabularnewline
234 & 15.2 & 11.1597 & 4.04032 \tabularnewline
235 & 17.1 & 14.0153 & 3.08469 \tabularnewline
236 & 15.6 & 12.4176 & 3.18242 \tabularnewline
237 & 18.4 & 14.3115 & 4.08853 \tabularnewline
238 & 19.05 & 13.3855 & 5.66446 \tabularnewline
239 & 18.55 & 16.5269 & 2.02311 \tabularnewline
240 & 19.1 & 17.615 & 1.48503 \tabularnewline
241 & 13.1 & 13.1059 & -0.00593775 \tabularnewline
242 & 12.85 & 14.6718 & -1.82181 \tabularnewline
243 & 9.5 & 16.0646 & -6.56458 \tabularnewline
244 & 4.5 & 3.00889 & 1.49111 \tabularnewline
245 & 11.85 & 13.9808 & -2.13078 \tabularnewline
246 & 13.6 & 15.298 & -1.69799 \tabularnewline
247 & 11.7 & 10.6022 & 1.09777 \tabularnewline
248 & 12.4 & 13.8727 & -1.4727 \tabularnewline
249 & 13.35 & 15.7781 & -2.42813 \tabularnewline
250 & 11.4 & 8.0182 & 3.3818 \tabularnewline
251 & 14.9 & 9.83381 & 5.06619 \tabularnewline
252 & 19.9 & 13.8458 & 6.05416 \tabularnewline
253 & 17.75 & 18.1127 & -0.362688 \tabularnewline
254 & 11.2 & 12.0206 & -0.820646 \tabularnewline
255 & 14.6 & 13.0257 & 1.57427 \tabularnewline
256 & 17.6 & 15.7533 & 1.84674 \tabularnewline
257 & 14.05 & 13.2426 & 0.80738 \tabularnewline
258 & 16.1 & 15.6518 & 0.448208 \tabularnewline
259 & 13.35 & 13.5453 & -0.195259 \tabularnewline
260 & 11.85 & 14.2885 & -2.43849 \tabularnewline
261 & 11.95 & 11.8387 & 0.111278 \tabularnewline
262 & 14.75 & 12.8634 & 1.8866 \tabularnewline
263 & 15.15 & 15.3882 & -0.238174 \tabularnewline
264 & 13.2 & 11.813 & 1.38702 \tabularnewline
265 & 16.85 & 19.0615 & -2.21146 \tabularnewline
266 & 7.85 & 14.5885 & -6.7385 \tabularnewline
267 & 7.7 & 6.65223 & 1.04777 \tabularnewline
268 & 12.6 & 16.1576 & -3.55764 \tabularnewline
269 & 7.85 & 7.20442 & 0.64558 \tabularnewline
270 & 10.95 & 10.4888 & 0.461245 \tabularnewline
271 & 12.35 & 14.8567 & -2.5067 \tabularnewline
272 & 9.95 & 6.5682 & 3.3818 \tabularnewline
273 & 14.9 & 12.76 & 2.14002 \tabularnewline
274 & 16.65 & 16.1932 & 0.456818 \tabularnewline
275 & 13.4 & 12.6579 & 0.742094 \tabularnewline
276 & 13.95 & 9.63849 & 4.31151 \tabularnewline
277 & 15.7 & 11.0189 & 4.68106 \tabularnewline
278 & 16.85 & 16.2417 & 0.6083 \tabularnewline
279 & 10.95 & 6.99631 & 3.95369 \tabularnewline
280 & 15.35 & 14.1348 & 1.2152 \tabularnewline
281 & 12.2 & 11.2088 & 0.991206 \tabularnewline
282 & 15.1 & 13.8165 & 1.28353 \tabularnewline
283 & 17.75 & 15.3148 & 2.43525 \tabularnewline
284 & 15.2 & 13.7391 & 1.46093 \tabularnewline
285 & 14.6 & 12.6078 & 1.99215 \tabularnewline
286 & 16.65 & 19.2048 & -2.55475 \tabularnewline
287 & 8.1 & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271050&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]12.1433[/C][C]0.756743[/C][/ROW]
[ROW][C]2[/C][C]7.4[/C][C]11.5471[/C][C]-4.14713[/C][/ROW]
[ROW][C]3[/C][C]12.2[/C][C]11.4083[/C][C]0.791729[/C][/ROW]
[ROW][C]4[/C][C]12.8[/C][C]12.0087[/C][C]0.791336[/C][/ROW]
[ROW][C]5[/C][C]7.4[/C][C]12.8312[/C][C]-5.43116[/C][/ROW]
[ROW][C]6[/C][C]6.7[/C][C]11.29[/C][C]-4.59004[/C][/ROW]
[ROW][C]7[/C][C]12.6[/C][C]15.1599[/C][C]-2.55988[/C][/ROW]
[ROW][C]8[/C][C]14.8[/C][C]12.7913[/C][C]2.0087[/C][/ROW]
[ROW][C]9[/C][C]13.3[/C][C]12.6101[/C][C]0.68987[/C][/ROW]
[ROW][C]10[/C][C]11.1[/C][C]12.866[/C][C]-1.76597[/C][/ROW]
[ROW][C]11[/C][C]8.2[/C][C]14.0664[/C][C]-5.86635[/C][/ROW]
[ROW][C]12[/C][C]11.4[/C][C]12.8823[/C][C]-1.48233[/C][/ROW]
[ROW][C]13[/C][C]6.4[/C][C]14.6232[/C][C]-8.22319[/C][/ROW]
[ROW][C]14[/C][C]10.6[/C][C]11.4645[/C][C]-0.864469[/C][/ROW]
[ROW][C]15[/C][C]12[/C][C]13.8171[/C][C]-1.81709[/C][/ROW]
[ROW][C]16[/C][C]6.3[/C][C]9.70704[/C][C]-3.40704[/C][/ROW]
[ROW][C]17[/C][C]11.3[/C][C]11.2623[/C][C]0.0377196[/C][/ROW]
[ROW][C]18[/C][C]11.9[/C][C]13.944[/C][C]-2.04401[/C][/ROW]
[ROW][C]19[/C][C]9.3[/C][C]12.0426[/C][C]-2.74259[/C][/ROW]
[ROW][C]20[/C][C]9.6[/C][C]12.2309[/C][C]-2.63088[/C][/ROW]
[ROW][C]21[/C][C]10[/C][C]11.6063[/C][C]-1.60631[/C][/ROW]
[ROW][C]22[/C][C]6.4[/C][C]11.4826[/C][C]-5.0826[/C][/ROW]
[ROW][C]23[/C][C]13.8[/C][C]12.6827[/C][C]1.11733[/C][/ROW]
[ROW][C]24[/C][C]10.8[/C][C]13.113[/C][C]-2.313[/C][/ROW]
[ROW][C]25[/C][C]13.8[/C][C]12.3744[/C][C]1.4256[/C][/ROW]
[ROW][C]26[/C][C]11.7[/C][C]12.7066[/C][C]-1.00657[/C][/ROW]
[ROW][C]27[/C][C]10.9[/C][C]15.0576[/C][C]-4.1576[/C][/ROW]
[ROW][C]28[/C][C]16.1[/C][C]13.6515[/C][C]2.44851[/C][/ROW]
[ROW][C]29[/C][C]13.4[/C][C]11.18[/C][C]2.22003[/C][/ROW]
[ROW][C]30[/C][C]9.9[/C][C]11.342[/C][C]-1.44199[/C][/ROW]
[ROW][C]31[/C][C]11.5[/C][C]12.112[/C][C]-0.612003[/C][/ROW]
[ROW][C]32[/C][C]8.3[/C][C]11.9559[/C][C]-3.65587[/C][/ROW]
[ROW][C]33[/C][C]11.7[/C][C]13.2171[/C][C]-1.51706[/C][/ROW]
[ROW][C]34[/C][C]6.1[/C][C]11.8794[/C][C]-5.77939[/C][/ROW]
[ROW][C]35[/C][C]9[/C][C]12.2189[/C][C]-3.21886[/C][/ROW]
[ROW][C]36[/C][C]9.7[/C][C]14.3392[/C][C]-4.63923[/C][/ROW]
[ROW][C]37[/C][C]10.8[/C][C]12.5435[/C][C]-1.74347[/C][/ROW]
[ROW][C]38[/C][C]10.3[/C][C]12.7208[/C][C]-2.42077[/C][/ROW]
[ROW][C]39[/C][C]10.4[/C][C]11.6328[/C][C]-1.23279[/C][/ROW]
[ROW][C]40[/C][C]12.7[/C][C]12.4574[/C][C]0.242614[/C][/ROW]
[ROW][C]41[/C][C]9.3[/C][C]12.2157[/C][C]-2.91568[/C][/ROW]
[ROW][C]42[/C][C]11.8[/C][C]14.2827[/C][C]-2.48269[/C][/ROW]
[ROW][C]43[/C][C]5.9[/C][C]10.5679[/C][C]-4.66793[/C][/ROW]
[ROW][C]44[/C][C]11.4[/C][C]13.8039[/C][C]-2.40393[/C][/ROW]
[ROW][C]45[/C][C]13[/C][C]11.8005[/C][C]1.19954[/C][/ROW]
[ROW][C]46[/C][C]10.8[/C][C]12.5634[/C][C]-1.76343[/C][/ROW]
[ROW][C]47[/C][C]12.3[/C][C]10.4936[/C][C]1.8064[/C][/ROW]
[ROW][C]48[/C][C]11.3[/C][C]13.3188[/C][C]-2.01876[/C][/ROW]
[ROW][C]49[/C][C]11.8[/C][C]12.6288[/C][C]-0.82877[/C][/ROW]
[ROW][C]50[/C][C]7.9[/C][C]11.1889[/C][C]-3.28895[/C][/ROW]
[ROW][C]51[/C][C]12.7[/C][C]10.2038[/C][C]2.49615[/C][/ROW]
[ROW][C]52[/C][C]12.3[/C][C]10.6486[/C][C]1.65144[/C][/ROW]
[ROW][C]53[/C][C]11.6[/C][C]11.9589[/C][C]-0.358938[/C][/ROW]
[ROW][C]54[/C][C]6.7[/C][C]11.0316[/C][C]-4.33159[/C][/ROW]
[ROW][C]55[/C][C]10.9[/C][C]12.9577[/C][C]-2.05765[/C][/ROW]
[ROW][C]56[/C][C]12.1[/C][C]12.4286[/C][C]-0.328579[/C][/ROW]
[ROW][C]57[/C][C]13.3[/C][C]13.4945[/C][C]-0.194454[/C][/ROW]
[ROW][C]58[/C][C]10.1[/C][C]13.2561[/C][C]-3.1561[/C][/ROW]
[ROW][C]59[/C][C]5.7[/C][C]11.5682[/C][C]-5.86821[/C][/ROW]
[ROW][C]60[/C][C]14.3[/C][C]12.1452[/C][C]2.15478[/C][/ROW]
[ROW][C]61[/C][C]8[/C][C]9.34043[/C][C]-1.34043[/C][/ROW]
[ROW][C]62[/C][C]13.3[/C][C]11.8131[/C][C]1.48688[/C][/ROW]
[ROW][C]63[/C][C]9.3[/C][C]12.9374[/C][C]-3.63737[/C][/ROW]
[ROW][C]64[/C][C]12.5[/C][C]11.3455[/C][C]1.15449[/C][/ROW]
[ROW][C]65[/C][C]7.6[/C][C]10.8297[/C][C]-3.22972[/C][/ROW]
[ROW][C]66[/C][C]15.9[/C][C]13.8637[/C][C]2.03625[/C][/ROW]
[ROW][C]67[/C][C]9.2[/C][C]11.2601[/C][C]-2.0601[/C][/ROW]
[ROW][C]68[/C][C]9.1[/C][C]10.5188[/C][C]-1.4188[/C][/ROW]
[ROW][C]69[/C][C]11.1[/C][C]14.1838[/C][C]-3.08376[/C][/ROW]
[ROW][C]70[/C][C]13[/C][C]13.9704[/C][C]-0.970409[/C][/ROW]
[ROW][C]71[/C][C]14.5[/C][C]12.6256[/C][C]1.87443[/C][/ROW]
[ROW][C]72[/C][C]12.2[/C][C]11.0229[/C][C]1.1771[/C][/ROW]
[ROW][C]73[/C][C]12.3[/C][C]13.4916[/C][C]-1.19162[/C][/ROW]
[ROW][C]74[/C][C]11.4[/C][C]11.2102[/C][C]0.189796[/C][/ROW]
[ROW][C]75[/C][C]8.8[/C][C]11.3673[/C][C]-2.56726[/C][/ROW]
[ROW][C]76[/C][C]14.6[/C][C]11.3364[/C][C]3.26356[/C][/ROW]
[ROW][C]77[/C][C]7.3[/C][C]12.3844[/C][C]-5.08442[/C][/ROW]
[ROW][C]78[/C][C]12.6[/C][C]12.9947[/C][C]-0.394674[/C][/ROW]
[ROW][C]79[/C][C]NA[/C][C]NA[/C][C]-0.72395[/C][/ROW]
[ROW][C]80[/C][C]13[/C][C]11.5553[/C][C]1.44469[/C][/ROW]
[ROW][C]81[/C][C]12.6[/C][C]14.1289[/C][C]-1.52894[/C][/ROW]
[ROW][C]82[/C][C]13.2[/C][C]14.4928[/C][C]-1.29275[/C][/ROW]
[ROW][C]83[/C][C]9.9[/C][C]13.782[/C][C]-3.88201[/C][/ROW]
[ROW][C]84[/C][C]7.7[/C][C]7.83382[/C][C]-0.133817[/C][/ROW]
[ROW][C]85[/C][C]10.5[/C][C]7.61971[/C][C]2.88029[/C][/ROW]
[ROW][C]86[/C][C]13.4[/C][C]14.4515[/C][C]-1.05152[/C][/ROW]
[ROW][C]87[/C][C]10.9[/C][C]16.5959[/C][C]-5.69592[/C][/ROW]
[ROW][C]88[/C][C]4.3[/C][C]5.06254[/C][C]-0.762542[/C][/ROW]
[ROW][C]89[/C][C]10.3[/C][C]10.3436[/C][C]-0.0435804[/C][/ROW]
[ROW][C]90[/C][C]11.8[/C][C]11.2359[/C][C]0.56414[/C][/ROW]
[ROW][C]91[/C][C]11.2[/C][C]10.5401[/C][C]0.659865[/C][/ROW]
[ROW][C]92[/C][C]11.4[/C][C]12.8884[/C][C]-1.48837[/C][/ROW]
[ROW][C]93[/C][C]8.6[/C][C]6.33304[/C][C]2.26696[/C][/ROW]
[ROW][C]94[/C][C]13.2[/C][C]10.9557[/C][C]2.24435[/C][/ROW]
[ROW][C]95[/C][C]12.6[/C][C]17.9635[/C][C]-5.36352[/C][/ROW]
[ROW][C]96[/C][C]5.6[/C][C]7.1358[/C][C]-1.5358[/C][/ROW]
[ROW][C]97[/C][C]9.9[/C][C]12.8601[/C][C]-2.96007[/C][/ROW]
[ROW][C]98[/C][C]8.8[/C][C]12.6296[/C][C]-3.82962[/C][/ROW]
[ROW][C]99[/C][C]7.7[/C][C]8.91726[/C][C]-1.21726[/C][/ROW]
[ROW][C]100[/C][C]9[/C][C]13.8386[/C][C]-4.83862[/C][/ROW]
[ROW][C]101[/C][C]7.3[/C][C]6.69316[/C][C]0.606843[/C][/ROW]
[ROW][C]102[/C][C]11.4[/C][C]9.04285[/C][C]2.35715[/C][/ROW]
[ROW][C]103[/C][C]13.6[/C][C]16.3876[/C][C]-2.78758[/C][/ROW]
[ROW][C]104[/C][C]7.9[/C][C]8.18596[/C][C]-0.285963[/C][/ROW]
[ROW][C]105[/C][C]10.7[/C][C]12.0129[/C][C]-1.31287[/C][/ROW]
[ROW][C]106[/C][C]10.3[/C][C]12.2356[/C][C]-1.93564[/C][/ROW]
[ROW][C]107[/C][C]8.3[/C][C]9.64221[/C][C]-1.34221[/C][/ROW]
[ROW][C]108[/C][C]9.6[/C][C]7.13129[/C][C]2.46871[/C][/ROW]
[ROW][C]109[/C][C]14.2[/C][C]16.1009[/C][C]-1.90089[/C][/ROW]
[ROW][C]110[/C][C]8.5[/C][C]5.58608[/C][C]2.91392[/C][/ROW]
[ROW][C]111[/C][C]13.5[/C][C]19.2847[/C][C]-5.78468[/C][/ROW]
[ROW][C]112[/C][C]4.9[/C][C]8.65187[/C][C]-3.75187[/C][/ROW]
[ROW][C]113[/C][C]6.4[/C][C]7.29414[/C][C]-0.89414[/C][/ROW]
[ROW][C]114[/C][C]9.6[/C][C]8.68576[/C][C]0.914241[/C][/ROW]
[ROW][C]115[/C][C]11.6[/C][C]10.6522[/C][C]0.947809[/C][/ROW]
[ROW][C]116[/C][C]11.1[/C][C]16.5798[/C][C]-5.47984[/C][/ROW]
[ROW][C]117[/C][C]4.35[/C][C]4.32976[/C][C]0.0202354[/C][/ROW]
[ROW][C]118[/C][C]12.7[/C][C]9.16292[/C][C]3.53708[/C][/ROW]
[ROW][C]119[/C][C]18.1[/C][C]15.1144[/C][C]2.98562[/C][/ROW]
[ROW][C]120[/C][C]17.85[/C][C]17.7008[/C][C]0.14919[/C][/ROW]
[ROW][C]121[/C][C]16.6[/C][C]13.7922[/C][C]2.80783[/C][/ROW]
[ROW][C]122[/C][C]12.6[/C][C]17.5199[/C][C]-4.91988[/C][/ROW]
[ROW][C]123[/C][C]17.1[/C][C]13.6857[/C][C]3.41431[/C][/ROW]
[ROW][C]124[/C][C]19.1[/C][C]22.1449[/C][C]-3.04492[/C][/ROW]
[ROW][C]125[/C][C]16.1[/C][C]13.1656[/C][C]2.93437[/C][/ROW]
[ROW][C]126[/C][C]13.35[/C][C]12.471[/C][C]0.878987[/C][/ROW]
[ROW][C]127[/C][C]18.4[/C][C]14.6118[/C][C]3.78817[/C][/ROW]
[ROW][C]128[/C][C]14.7[/C][C]18.7711[/C][C]-4.07111[/C][/ROW]
[ROW][C]129[/C][C]10.6[/C][C]11.5246[/C][C]-0.924571[/C][/ROW]
[ROW][C]130[/C][C]12.6[/C][C]11.288[/C][C]1.31198[/C][/ROW]
[ROW][C]131[/C][C]16.2[/C][C]20.2796[/C][C]-4.07961[/C][/ROW]
[ROW][C]132[/C][C]13.6[/C][C]10.5958[/C][C]3.00421[/C][/ROW]
[ROW][C]133[/C][C]18.9[/C][C]16.9525[/C][C]1.94754[/C][/ROW]
[ROW][C]134[/C][C]14.1[/C][C]11.203[/C][C]2.89702[/C][/ROW]
[ROW][C]135[/C][C]14.5[/C][C]16.5376[/C][C]-2.03764[/C][/ROW]
[ROW][C]136[/C][C]16.15[/C][C]14.7729[/C][C]1.37713[/C][/ROW]
[ROW][C]137[/C][C]14.75[/C][C]14.1382[/C][C]0.611762[/C][/ROW]
[ROW][C]138[/C][C]14.8[/C][C]14.536[/C][C]0.263963[/C][/ROW]
[ROW][C]139[/C][C]12.45[/C][C]14.4913[/C][C]-2.04134[/C][/ROW]
[ROW][C]140[/C][C]12.65[/C][C]8.87123[/C][C]3.77877[/C][/ROW]
[ROW][C]141[/C][C]17.35[/C][C]20.7375[/C][C]-3.38746[/C][/ROW]
[ROW][C]142[/C][C]8.6[/C][C]7.85055[/C][C]0.749452[/C][/ROW]
[ROW][C]143[/C][C]18.4[/C][C]20.4842[/C][C]-2.08417[/C][/ROW]
[ROW][C]144[/C][C]16.1[/C][C]15.4996[/C][C]0.60037[/C][/ROW]
[ROW][C]145[/C][C]11.6[/C][C]5.50387[/C][C]6.09613[/C][/ROW]
[ROW][C]146[/C][C]17.75[/C][C]16.2191[/C][C]1.53094[/C][/ROW]
[ROW][C]147[/C][C]15.25[/C][C]13.6664[/C][C]1.58358[/C][/ROW]
[ROW][C]148[/C][C]17.65[/C][C]15.4739[/C][C]2.17615[/C][/ROW]
[ROW][C]149[/C][C]15.6[/C][C]14.1997[/C][C]1.40035[/C][/ROW]
[ROW][C]150[/C][C]16.35[/C][C]13.6371[/C][C]2.71285[/C][/ROW]
[ROW][C]151[/C][C]17.65[/C][C]16.8953[/C][C]0.754694[/C][/ROW]
[ROW][C]152[/C][C]13.6[/C][C]13.8159[/C][C]-0.215924[/C][/ROW]
[ROW][C]153[/C][C]11.7[/C][C]10.7742[/C][C]0.92584[/C][/ROW]
[ROW][C]154[/C][C]14.35[/C][C]17.1092[/C][C]-2.75916[/C][/ROW]
[ROW][C]155[/C][C]14.75[/C][C]12.5214[/C][C]2.22859[/C][/ROW]
[ROW][C]156[/C][C]18.25[/C][C]23.2489[/C][C]-4.99885[/C][/ROW]
[ROW][C]157[/C][C]9.9[/C][C]8.12822[/C][C]1.77178[/C][/ROW]
[ROW][C]158[/C][C]16[/C][C]13.1983[/C][C]2.80167[/C][/ROW]
[ROW][C]159[/C][C]18.25[/C][C]18.4697[/C][C]-0.219735[/C][/ROW]
[ROW][C]160[/C][C]16.85[/C][C]14.6378[/C][C]2.2122[/C][/ROW]
[ROW][C]161[/C][C]14.6[/C][C]14.5911[/C][C]0.00891177[/C][/ROW]
[ROW][C]162[/C][C]13.85[/C][C]11.3111[/C][C]2.5389[/C][/ROW]
[ROW][C]163[/C][C]18.95[/C][C]17.8165[/C][C]1.13354[/C][/ROW]
[ROW][C]164[/C][C]15.6[/C][C]18.1974[/C][C]-2.59736[/C][/ROW]
[ROW][C]165[/C][C]14.85[/C][C]15.4563[/C][C]-0.606258[/C][/ROW]
[ROW][C]166[/C][C]11.75[/C][C]6.3359[/C][C]5.4141[/C][/ROW]
[ROW][C]167[/C][C]18.45[/C][C]19.8201[/C][C]-1.37012[/C][/ROW]
[ROW][C]168[/C][C]15.9[/C][C]12.8624[/C][C]3.03757[/C][/ROW]
[ROW][C]169[/C][C]17.1[/C][C]11.8316[/C][C]5.26844[/C][/ROW]
[ROW][C]170[/C][C]16.1[/C][C]11.0338[/C][C]5.06619[/C][/ROW]
[ROW][C]171[/C][C]19.9[/C][C]19.2544[/C][C]0.64558[/C][/ROW]
[ROW][C]172[/C][C]10.95[/C][C]8.35451[/C][C]2.59549[/C][/ROW]
[ROW][C]173[/C][C]18.45[/C][C]13.5844[/C][C]4.86555[/C][/ROW]
[ROW][C]174[/C][C]15.1[/C][C]15.4759[/C][C]-0.375922[/C][/ROW]
[ROW][C]175[/C][C]15[/C][C]17.8076[/C][C]-2.80763[/C][/ROW]
[ROW][C]176[/C][C]11.35[/C][C]10.4136[/C][C]0.936398[/C][/ROW]
[ROW][C]177[/C][C]15.95[/C][C]11.1274[/C][C]4.82256[/C][/ROW]
[ROW][C]178[/C][C]18.1[/C][C]16.3095[/C][C]1.79052[/C][/ROW]
[ROW][C]179[/C][C]14.6[/C][C]14.9255[/C][C]-0.325494[/C][/ROW]
[ROW][C]180[/C][C]15.4[/C][C]15.7255[/C][C]-0.325494[/C][/ROW]
[ROW][C]181[/C][C]15.4[/C][C]11.3698[/C][C]4.03017[/C][/ROW]
[ROW][C]182[/C][C]17.6[/C][C]18.0803[/C][C]-0.480265[/C][/ROW]
[ROW][C]183[/C][C]13.35[/C][C]10.676[/C][C]2.67404[/C][/ROW]
[ROW][C]184[/C][C]19.1[/C][C]16.7032[/C][C]2.39678[/C][/ROW]
[ROW][C]185[/C][C]15.35[/C][C]19.8369[/C][C]-4.48687[/C][/ROW]
[ROW][C]186[/C][C]7.6[/C][C]8.41094[/C][C]-0.810937[/C][/ROW]
[ROW][C]187[/C][C]13.4[/C][C]12.8782[/C][C]0.521754[/C][/ROW]
[ROW][C]188[/C][C]13.9[/C][C]11.9137[/C][C]1.98631[/C][/ROW]
[ROW][C]189[/C][C]19.1[/C][C]17.6898[/C][C]1.41019[/C][/ROW]
[ROW][C]190[/C][C]15.25[/C][C]14.1275[/C][C]1.12247[/C][/ROW]
[ROW][C]191[/C][C]12.9[/C][C]10.6459[/C][C]2.25405[/C][/ROW]
[ROW][C]192[/C][C]16.1[/C][C]10.7704[/C][C]5.32958[/C][/ROW]
[ROW][C]193[/C][C]17.35[/C][C]16.3884[/C][C]0.961629[/C][/ROW]
[ROW][C]194[/C][C]13.15[/C][C]10.4776[/C][C]2.67244[/C][/ROW]
[ROW][C]195[/C][C]12.15[/C][C]12.1167[/C][C]0.0333456[/C][/ROW]
[ROW][C]196[/C][C]12.6[/C][C]13.652[/C][C]-1.05198[/C][/ROW]
[ROW][C]197[/C][C]10.35[/C][C]7.65492[/C][C]2.69508[/C][/ROW]
[ROW][C]198[/C][C]15.4[/C][C]16.562[/C][C]-1.16201[/C][/ROW]
[ROW][C]199[/C][C]9.6[/C][C]4.51338[/C][C]5.08662[/C][/ROW]
[ROW][C]200[/C][C]18.2[/C][C]16.616[/C][C]1.58398[/C][/ROW]
[ROW][C]201[/C][C]13.6[/C][C]13.3265[/C][C]0.273476[/C][/ROW]
[ROW][C]202[/C][C]14.85[/C][C]17.0038[/C][C]-2.15383[/C][/ROW]
[ROW][C]203[/C][C]14.75[/C][C]14.4826[/C][C]0.26738[/C][/ROW]
[ROW][C]204[/C][C]14.1[/C][C]10.3692[/C][C]3.73077[/C][/ROW]
[ROW][C]205[/C][C]14.9[/C][C]11.3362[/C][C]3.56381[/C][/ROW]
[ROW][C]206[/C][C]16.25[/C][C]14.2816[/C][C]1.96836[/C][/ROW]
[ROW][C]207[/C][C]19.25[/C][C]17.4947[/C][C]1.75526[/C][/ROW]
[ROW][C]208[/C][C]13.6[/C][C]13.0766[/C][C]0.523439[/C][/ROW]
[ROW][C]209[/C][C]13.6[/C][C]12.9655[/C][C]0.634549[/C][/ROW]
[ROW][C]210[/C][C]15.65[/C][C]14.7765[/C][C]0.873459[/C][/ROW]
[ROW][C]211[/C][C]12.75[/C][C]9.15917[/C][C]3.59083[/C][/ROW]
[ROW][C]212[/C][C]14.6[/C][C]18.0971[/C][C]-3.49707[/C][/ROW]
[ROW][C]213[/C][C]9.85[/C][C]8.16914[/C][C]1.68086[/C][/ROW]
[ROW][C]214[/C][C]12.65[/C][C]12.8232[/C][C]-0.173151[/C][/ROW]
[ROW][C]215[/C][C]11.9[/C][C]9.30515[/C][C]2.59485[/C][/ROW]
[ROW][C]216[/C][C]19.2[/C][C]16.8888[/C][C]2.31124[/C][/ROW]
[ROW][C]217[/C][C]16.6[/C][C]15.3776[/C][C]1.22241[/C][/ROW]
[ROW][C]218[/C][C]11.2[/C][C]8.73462[/C][C]2.46538[/C][/ROW]
[ROW][C]219[/C][C]15.25[/C][C]18.6016[/C][C]-3.35162[/C][/ROW]
[ROW][C]220[/C][C]11.9[/C][C]14.3131[/C][C]-2.41314[/C][/ROW]
[ROW][C]221[/C][C]13.2[/C][C]14.083[/C][C]-0.88305[/C][/ROW]
[ROW][C]222[/C][C]16.35[/C][C]17.1969[/C][C]-0.846919[/C][/ROW]
[ROW][C]223[/C][C]12.4[/C][C]9.44338[/C][C]2.95662[/C][/ROW]
[ROW][C]224[/C][C]15.85[/C][C]14.7126[/C][C]1.13737[/C][/ROW]
[ROW][C]225[/C][C]14.35[/C][C]10.8898[/C][C]3.46015[/C][/ROW]
[ROW][C]226[/C][C]18.15[/C][C]18.4459[/C][C]-0.29588[/C][/ROW]
[ROW][C]227[/C][C]11.15[/C][C]10.997[/C][C]0.152981[/C][/ROW]
[ROW][C]228[/C][C]15.65[/C][C]13.9066[/C][C]1.74345[/C][/ROW]
[ROW][C]229[/C][C]17.75[/C][C]22.5139[/C][C]-4.76391[/C][/ROW]
[ROW][C]230[/C][C]7.65[/C][C]6.86889[/C][C]0.781114[/C][/ROW]
[ROW][C]231[/C][C]12.35[/C][C]7.89551[/C][C]4.45449[/C][/ROW]
[ROW][C]232[/C][C]15.6[/C][C]12.4458[/C][C]3.15422[/C][/ROW]
[ROW][C]233[/C][C]19.3[/C][C]15.7733[/C][C]3.52667[/C][/ROW]
[ROW][C]234[/C][C]15.2[/C][C]11.1597[/C][C]4.04032[/C][/ROW]
[ROW][C]235[/C][C]17.1[/C][C]14.0153[/C][C]3.08469[/C][/ROW]
[ROW][C]236[/C][C]15.6[/C][C]12.4176[/C][C]3.18242[/C][/ROW]
[ROW][C]237[/C][C]18.4[/C][C]14.3115[/C][C]4.08853[/C][/ROW]
[ROW][C]238[/C][C]19.05[/C][C]13.3855[/C][C]5.66446[/C][/ROW]
[ROW][C]239[/C][C]18.55[/C][C]16.5269[/C][C]2.02311[/C][/ROW]
[ROW][C]240[/C][C]19.1[/C][C]17.615[/C][C]1.48503[/C][/ROW]
[ROW][C]241[/C][C]13.1[/C][C]13.1059[/C][C]-0.00593775[/C][/ROW]
[ROW][C]242[/C][C]12.85[/C][C]14.6718[/C][C]-1.82181[/C][/ROW]
[ROW][C]243[/C][C]9.5[/C][C]16.0646[/C][C]-6.56458[/C][/ROW]
[ROW][C]244[/C][C]4.5[/C][C]3.00889[/C][C]1.49111[/C][/ROW]
[ROW][C]245[/C][C]11.85[/C][C]13.9808[/C][C]-2.13078[/C][/ROW]
[ROW][C]246[/C][C]13.6[/C][C]15.298[/C][C]-1.69799[/C][/ROW]
[ROW][C]247[/C][C]11.7[/C][C]10.6022[/C][C]1.09777[/C][/ROW]
[ROW][C]248[/C][C]12.4[/C][C]13.8727[/C][C]-1.4727[/C][/ROW]
[ROW][C]249[/C][C]13.35[/C][C]15.7781[/C][C]-2.42813[/C][/ROW]
[ROW][C]250[/C][C]11.4[/C][C]8.0182[/C][C]3.3818[/C][/ROW]
[ROW][C]251[/C][C]14.9[/C][C]9.83381[/C][C]5.06619[/C][/ROW]
[ROW][C]252[/C][C]19.9[/C][C]13.8458[/C][C]6.05416[/C][/ROW]
[ROW][C]253[/C][C]17.75[/C][C]18.1127[/C][C]-0.362688[/C][/ROW]
[ROW][C]254[/C][C]11.2[/C][C]12.0206[/C][C]-0.820646[/C][/ROW]
[ROW][C]255[/C][C]14.6[/C][C]13.0257[/C][C]1.57427[/C][/ROW]
[ROW][C]256[/C][C]17.6[/C][C]15.7533[/C][C]1.84674[/C][/ROW]
[ROW][C]257[/C][C]14.05[/C][C]13.2426[/C][C]0.80738[/C][/ROW]
[ROW][C]258[/C][C]16.1[/C][C]15.6518[/C][C]0.448208[/C][/ROW]
[ROW][C]259[/C][C]13.35[/C][C]13.5453[/C][C]-0.195259[/C][/ROW]
[ROW][C]260[/C][C]11.85[/C][C]14.2885[/C][C]-2.43849[/C][/ROW]
[ROW][C]261[/C][C]11.95[/C][C]11.8387[/C][C]0.111278[/C][/ROW]
[ROW][C]262[/C][C]14.75[/C][C]12.8634[/C][C]1.8866[/C][/ROW]
[ROW][C]263[/C][C]15.15[/C][C]15.3882[/C][C]-0.238174[/C][/ROW]
[ROW][C]264[/C][C]13.2[/C][C]11.813[/C][C]1.38702[/C][/ROW]
[ROW][C]265[/C][C]16.85[/C][C]19.0615[/C][C]-2.21146[/C][/ROW]
[ROW][C]266[/C][C]7.85[/C][C]14.5885[/C][C]-6.7385[/C][/ROW]
[ROW][C]267[/C][C]7.7[/C][C]6.65223[/C][C]1.04777[/C][/ROW]
[ROW][C]268[/C][C]12.6[/C][C]16.1576[/C][C]-3.55764[/C][/ROW]
[ROW][C]269[/C][C]7.85[/C][C]7.20442[/C][C]0.64558[/C][/ROW]
[ROW][C]270[/C][C]10.95[/C][C]10.4888[/C][C]0.461245[/C][/ROW]
[ROW][C]271[/C][C]12.35[/C][C]14.8567[/C][C]-2.5067[/C][/ROW]
[ROW][C]272[/C][C]9.95[/C][C]6.5682[/C][C]3.3818[/C][/ROW]
[ROW][C]273[/C][C]14.9[/C][C]12.76[/C][C]2.14002[/C][/ROW]
[ROW][C]274[/C][C]16.65[/C][C]16.1932[/C][C]0.456818[/C][/ROW]
[ROW][C]275[/C][C]13.4[/C][C]12.6579[/C][C]0.742094[/C][/ROW]
[ROW][C]276[/C][C]13.95[/C][C]9.63849[/C][C]4.31151[/C][/ROW]
[ROW][C]277[/C][C]15.7[/C][C]11.0189[/C][C]4.68106[/C][/ROW]
[ROW][C]278[/C][C]16.85[/C][C]16.2417[/C][C]0.6083[/C][/ROW]
[ROW][C]279[/C][C]10.95[/C][C]6.99631[/C][C]3.95369[/C][/ROW]
[ROW][C]280[/C][C]15.35[/C][C]14.1348[/C][C]1.2152[/C][/ROW]
[ROW][C]281[/C][C]12.2[/C][C]11.2088[/C][C]0.991206[/C][/ROW]
[ROW][C]282[/C][C]15.1[/C][C]13.8165[/C][C]1.28353[/C][/ROW]
[ROW][C]283[/C][C]17.75[/C][C]15.3148[/C][C]2.43525[/C][/ROW]
[ROW][C]284[/C][C]15.2[/C][C]13.7391[/C][C]1.46093[/C][/ROW]
[ROW][C]285[/C][C]14.6[/C][C]12.6078[/C][C]1.99215[/C][/ROW]
[ROW][C]286[/C][C]16.65[/C][C]19.2048[/C][C]-2.55475[/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=271050&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271050&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
112.912.14330.756743
27.411.5471-4.14713
312.211.40830.791729
412.812.00870.791336
57.412.8312-5.43116
66.711.29-4.59004
712.615.1599-2.55988
814.812.79132.0087
913.312.61010.68987
1011.112.866-1.76597
118.214.0664-5.86635
1211.412.8823-1.48233
136.414.6232-8.22319
1410.611.4645-0.864469
151213.8171-1.81709
166.39.70704-3.40704
1711.311.26230.0377196
1811.913.944-2.04401
199.312.0426-2.74259
209.612.2309-2.63088
211011.6063-1.60631
226.411.4826-5.0826
2313.812.68271.11733
2410.813.113-2.313
2513.812.37441.4256
2611.712.7066-1.00657
2710.915.0576-4.1576
2816.113.65152.44851
2913.411.182.22003
309.911.342-1.44199
3111.512.112-0.612003
328.311.9559-3.65587
3311.713.2171-1.51706
346.111.8794-5.77939
35912.2189-3.21886
369.714.3392-4.63923
3710.812.5435-1.74347
3810.312.7208-2.42077
3910.411.6328-1.23279
4012.712.45740.242614
419.312.2157-2.91568
4211.814.2827-2.48269
435.910.5679-4.66793
4411.413.8039-2.40393
451311.80051.19954
4610.812.5634-1.76343
4712.310.49361.8064
4811.313.3188-2.01876
4911.812.6288-0.82877
507.911.1889-3.28895
5112.710.20382.49615
5212.310.64861.65144
5311.611.9589-0.358938
546.711.0316-4.33159
5510.912.9577-2.05765
5612.112.4286-0.328579
5713.313.4945-0.194454
5810.113.2561-3.1561
595.711.5682-5.86821
6014.312.14522.15478
6189.34043-1.34043
6213.311.81311.48688
639.312.9374-3.63737
6412.511.34551.15449
657.610.8297-3.22972
6615.913.86372.03625
679.211.2601-2.0601
689.110.5188-1.4188
6911.114.1838-3.08376
701313.9704-0.970409
7114.512.62561.87443
7212.211.02291.1771
7312.313.4916-1.19162
7411.411.21020.189796
758.811.3673-2.56726
7614.611.33643.26356
777.312.3844-5.08442
7812.612.9947-0.394674
79NANA-0.72395
801311.55531.44469
8112.614.1289-1.52894
8213.214.4928-1.29275
839.913.782-3.88201
847.77.83382-0.133817
8510.57.619712.88029
8613.414.4515-1.05152
8710.916.5959-5.69592
884.35.06254-0.762542
8910.310.3436-0.0435804
9011.811.23590.56414
9111.210.54010.659865
9211.412.8884-1.48837
938.66.333042.26696
9413.210.95572.24435
9512.617.9635-5.36352
965.67.1358-1.5358
979.912.8601-2.96007
988.812.6296-3.82962
997.78.91726-1.21726
100913.8386-4.83862
1017.36.693160.606843
10211.49.042852.35715
10313.616.3876-2.78758
1047.98.18596-0.285963
10510.712.0129-1.31287
10610.312.2356-1.93564
1078.39.64221-1.34221
1089.67.131292.46871
10914.216.1009-1.90089
1108.55.586082.91392
11113.519.2847-5.78468
1124.98.65187-3.75187
1136.47.29414-0.89414
1149.68.685760.914241
11511.610.65220.947809
11611.116.5798-5.47984
1174.354.329760.0202354
11812.79.162923.53708
11918.115.11442.98562
12017.8517.70080.14919
12116.613.79222.80783
12212.617.5199-4.91988
12317.113.68573.41431
12419.122.1449-3.04492
12516.113.16562.93437
12613.3512.4710.878987
12718.414.61183.78817
12814.718.7711-4.07111
12910.611.5246-0.924571
13012.611.2881.31198
13116.220.2796-4.07961
13213.610.59583.00421
13318.916.95251.94754
13414.111.2032.89702
13514.516.5376-2.03764
13616.1514.77291.37713
13714.7514.13820.611762
13814.814.5360.263963
13912.4514.4913-2.04134
14012.658.871233.77877
14117.3520.7375-3.38746
1428.67.850550.749452
14318.420.4842-2.08417
14416.115.49960.60037
14511.65.503876.09613
14617.7516.21911.53094
14715.2513.66641.58358
14817.6515.47392.17615
14915.614.19971.40035
15016.3513.63712.71285
15117.6516.89530.754694
15213.613.8159-0.215924
15311.710.77420.92584
15414.3517.1092-2.75916
15514.7512.52142.22859
15618.2523.2489-4.99885
1579.98.128221.77178
1581613.19832.80167
15918.2518.4697-0.219735
16016.8514.63782.2122
16114.614.59110.00891177
16213.8511.31112.5389
16318.9517.81651.13354
16415.618.1974-2.59736
16514.8515.4563-0.606258
16611.756.33595.4141
16718.4519.8201-1.37012
16815.912.86243.03757
16917.111.83165.26844
17016.111.03385.06619
17119.919.25440.64558
17210.958.354512.59549
17318.4513.58444.86555
17415.115.4759-0.375922
1751517.8076-2.80763
17611.3510.41360.936398
17715.9511.12744.82256
17818.116.30951.79052
17914.614.9255-0.325494
18015.415.7255-0.325494
18115.411.36984.03017
18217.618.0803-0.480265
18313.3510.6762.67404
18419.116.70322.39678
18515.3519.8369-4.48687
1867.68.41094-0.810937
18713.412.87820.521754
18813.911.91371.98631
18919.117.68981.41019
19015.2514.12751.12247
19112.910.64592.25405
19216.110.77045.32958
19317.3516.38840.961629
19413.1510.47762.67244
19512.1512.11670.0333456
19612.613.652-1.05198
19710.357.654922.69508
19815.416.562-1.16201
1999.64.513385.08662
20018.216.6161.58398
20113.613.32650.273476
20214.8517.0038-2.15383
20314.7514.48260.26738
20414.110.36923.73077
20514.911.33623.56381
20616.2514.28161.96836
20719.2517.49471.75526
20813.613.07660.523439
20913.612.96550.634549
21015.6514.77650.873459
21112.759.159173.59083
21214.618.0971-3.49707
2139.858.169141.68086
21412.6512.8232-0.173151
21511.99.305152.59485
21619.216.88882.31124
21716.615.37761.22241
21811.28.734622.46538
21915.2518.6016-3.35162
22011.914.3131-2.41314
22113.214.083-0.88305
22216.3517.1969-0.846919
22312.49.443382.95662
22415.8514.71261.13737
22514.3510.88983.46015
22618.1518.4459-0.29588
22711.1510.9970.152981
22815.6513.90661.74345
22917.7522.5139-4.76391
2307.656.868890.781114
23112.357.895514.45449
23215.612.44583.15422
23319.315.77333.52667
23415.211.15974.04032
23517.114.01533.08469
23615.612.41763.18242
23718.414.31154.08853
23819.0513.38555.66446
23918.5516.52692.02311
24019.117.6151.48503
24113.113.1059-0.00593775
24212.8514.6718-1.82181
2439.516.0646-6.56458
2444.53.008891.49111
24511.8513.9808-2.13078
24613.615.298-1.69799
24711.710.60221.09777
24812.413.8727-1.4727
24913.3515.7781-2.42813
25011.48.01823.3818
25114.99.833815.06619
25219.913.84586.05416
25317.7518.1127-0.362688
25411.212.0206-0.820646
25514.613.02571.57427
25617.615.75331.84674
25714.0513.24260.80738
25816.115.65180.448208
25913.3513.5453-0.195259
26011.8514.2885-2.43849
26111.9511.83870.111278
26214.7512.86341.8866
26315.1515.3882-0.238174
26413.211.8131.38702
26516.8519.0615-2.21146
2667.8514.5885-6.7385
2677.76.652231.04777
26812.616.1576-3.55764
2697.857.204420.64558
27010.9510.48880.461245
27112.3514.8567-2.5067
2729.956.56823.3818
27314.912.762.14002
27416.6516.19320.456818
27513.412.65790.742094
27613.959.638494.31151
27715.711.01894.68106
27816.8516.24170.6083
27910.956.996313.95369
28015.3514.13481.2152
28112.211.20880.991206
28215.113.81651.28353
28317.7515.31482.43525
28415.213.73911.46093
28514.612.60781.99215
28616.6519.2048-2.55475
2878.1NANA






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.8863080.2273840.113692
80.9011730.1976550.0988273
90.8328680.3342640.167132
100.7494470.5011070.250553
110.8233860.3532290.176614
120.7546750.490650.245325
130.807310.385380.19269
140.7394720.5210550.260528
150.6649640.6700730.335036
160.6596430.6807140.340357
170.638880.7222390.36112
180.5763830.8472340.423617
190.5096820.9806360.490318
200.4479810.8959610.552019
210.3799170.7598330.620083
220.4923290.9846590.507671
230.4236080.8472160.576392
240.363650.7273010.63635
250.3542850.7085690.645715
260.3035050.607010.696495
270.2645710.5291420.735429
280.2468320.4936650.753168
290.3210530.6421050.678947
300.2713490.5426980.728651
310.2431590.4863170.756841
320.2130150.426030.786985
330.1883020.3766040.811698
340.2177180.4354360.782282
350.1907360.3814720.809264
360.2348670.4697340.765133
370.1997240.3994490.800276
380.1676630.3353270.832337
390.1408950.2817910.859105
400.1268440.2536890.873156
410.1466910.2933820.853309
420.1301030.2602070.869897
430.1821870.3643730.817813
440.1562020.3124040.843798
450.1471580.2943170.852842
460.128960.2579190.87104
470.1405090.2810190.859491
480.121430.2428590.87857
490.1089320.2178650.891068
500.1273470.2546930.872653
510.1523720.3047450.847628
520.1417480.2834950.858252
530.1233880.2467760.876612
540.1310510.2621020.868949
550.1161120.2322230.883888
560.1073730.2147470.892627
570.1044570.2089130.895543
580.09150650.1830130.908494
590.1567950.313590.843205
600.1875110.3750230.812489
610.1640050.3280090.835995
620.1796750.3593510.820325
630.1795430.3590850.820457
640.1613280.3226550.838672
650.1620950.324190.837905
660.2080350.416070.791965
670.2044880.4089770.795512
680.1796670.3593340.820333
690.1787930.3575860.821207
700.1757270.3514540.824273
710.1705640.3411270.829436
720.1595910.3191820.840409
730.1449880.2899770.855012
740.1282220.2564450.871778
750.1144760.2289520.885524
760.1314130.2628260.868587
770.2141970.4283940.785803
780.2033670.4067330.796633
790.1931180.3862360.806882
800.1827260.3654510.817274
810.1802940.3605880.819706
820.1587310.3174620.841269
830.1812180.3624370.818782
840.1591380.3182750.840862
850.1755830.3511660.824417
860.1556810.3113620.844319
870.2710130.5420260.728987
880.2508990.5017970.749101
890.2296930.4593860.770307
900.204630.4092590.79537
910.1813640.3627280.818636
920.1708820.3417640.829118
930.1786950.3573910.821305
940.1889080.3778160.811092
950.2859040.5718090.714096
960.280060.5601190.71994
970.2786140.5572280.721386
980.3089720.6179430.691028
990.3022450.6044910.697755
1000.3893990.7787980.610601
1010.3680990.7361970.631901
1020.4011630.8023270.598837
1030.4497940.8995890.550206
1040.4224010.8448020.577599
1050.404690.8093790.59531
1060.403840.8076810.59616
1070.4111040.8222070.588896
1080.445610.8912190.55439
1090.4615050.9230110.538495
1100.47840.95680.5216
1110.665730.668540.33427
1120.7045520.5908960.295448
1130.6984770.6030460.301523
1140.6890730.6218550.310927
1150.6745350.650930.325465
1160.8104520.3790970.189548
1170.8061160.3877670.193884
1180.8723370.2553250.127663
1190.9037070.1925860.0962929
1200.897470.2050610.10253
1210.9038650.192270.096135
1220.9077420.1845160.0922581
1230.9271950.145610.0728049
1240.921440.1571210.0785604
1250.9287630.1424740.0712368
1260.9295770.1408460.0704232
1270.9505630.09887350.0494368
1280.9596670.08066620.0403331
1290.9548860.09022740.0451137
1300.9535460.09290780.0464539
1310.9581430.08371440.0418572
1320.9644970.07100550.0355027
1330.9624230.07515350.0375768
1340.9646060.07078840.0353942
1350.9621110.07577820.0378891
1360.9583020.08339690.0416984
1370.9520760.09584830.0479241
1380.943980.112040.0560199
1390.936780.1264410.0632204
1400.9524540.09509150.0475458
1410.9533520.09329650.0466483
1420.949430.1011410.0505704
1430.9412090.1175820.0587911
1440.9322290.1355420.0677709
1450.9618870.07622520.0381126
1460.9585880.08282430.0414121
1470.9573420.08531680.0426584
1480.9555380.08892420.0444621
1490.9511170.09776510.0488825
1500.9530220.09395520.0469776
1510.9464490.1071010.0535506
1520.9448350.1103310.0551655
1530.9368360.1263280.0631641
1540.933340.1333210.0666605
1550.9310450.1379110.0689553
1560.9741450.05170990.025855
1570.9715820.0568370.0284185
1580.9719510.05609750.0280487
1590.9682170.06356520.0317826
1600.9678460.06430740.0321537
1610.9613570.07728670.0386434
1620.9601220.07975620.0398781
1630.9539390.09212290.0460614
1640.9503130.09937390.0496869
1650.9421750.115650.057825
1660.9651770.06964550.0348228
1670.9582320.08353560.0417678
1680.9575060.08498850.0424943
1690.9881160.02376740.0118837
1700.9915950.01680930.00840464
1710.9894250.02115050.0105752
1720.9897220.02055540.0102777
1730.9925340.01493290.00746643
1740.9904910.01901710.00950857
1750.9903320.01933520.00966762
1760.9883770.02324650.0116233
1770.9925030.01499380.00749692
1780.9911750.01765060.00882532
1790.9903360.01932840.00966418
1800.9895740.02085290.0104265
1810.9919430.01611440.0080572
1820.9904560.01908750.00954376
1830.9896560.02068790.010344
1840.9881120.02377680.0118884
1850.9919140.01617220.00808611
1860.9898620.02027670.0101383
1870.9875540.02489160.0124458
1880.9855740.02885160.0144258
1890.9827110.03457790.017289
1900.9812850.03742920.0187146
1910.9791590.04168250.0208413
1920.9868280.02634420.0131721
1930.9838630.03227440.0161372
1940.9815990.03680280.0184014
1950.9771210.04575770.0228789
1960.972610.05477970.0273898
1970.9701790.05964210.029821
1980.9663370.06732530.0336626
1990.9779840.0440330.0220165
2000.9741240.05175270.0258764
2010.9693390.0613220.030661
2020.9705650.05887010.029435
2030.9636070.07278660.0363933
2040.9678840.0642320.032116
2050.9689290.06214290.0310714
2060.9657990.06840260.0342013
2070.9626520.07469570.0373479
2080.9581520.08369650.0418483
2090.9487450.1025110.0512555
2100.9406590.1186810.0593406
2110.9515170.09696510.0484825
2120.9489480.1021030.0510517
2130.9452940.1094120.0547059
2140.93340.1332010.0666005
2150.9316890.1366230.0683113
2160.9291680.1416650.0708324
2170.9211420.1577170.0788584
2180.9098450.1803090.0901546
2190.9206130.1587750.0793875
2200.9085040.1829920.0914959
2210.9022220.1955570.0977784
2220.8894730.2210550.110527
2230.8891920.2216150.110808
2240.8796840.2406310.120316
2250.8664520.2670960.133548
2260.842390.315220.15761
2270.8148430.3703130.185157
2280.787380.425240.21262
2290.8173320.3653360.182668
2300.7908070.4183860.209193
2310.7881960.4236070.211804
2320.766360.467280.23364
2330.8171230.3657550.182877
2340.8141690.3716620.185831
2350.8199070.3601860.180093
2360.8221050.3557890.177895
2370.8234940.3530110.176506
2380.8350450.329910.164955
2390.8168090.3663810.183191
2400.7893730.4212540.210627
2410.8024630.3950730.197537
2420.8036360.3927280.196364
2430.9237130.1525740.0762868
2440.9116930.1766150.0883074
2450.9259420.1481160.074058
2460.907750.18450.0922498
2470.8846160.2307680.115384
2480.868980.262040.13102
2490.8473020.3053950.152698
2500.837970.3240610.16203
2510.8522160.2955680.147784
2520.9047750.190450.0952249
2530.8805620.2388770.119438
2540.8554030.2891940.144597
2550.8198730.3602540.180127
2560.7811580.4376840.218842
2570.7336310.5327370.266369
2580.6889450.622110.311055
2590.6781780.6436440.321822
2600.6613590.6772820.338641
2610.5997750.800450.400225
2620.5634880.8730230.436512
2630.6547010.6905980.345299
2640.5997930.8004150.400207
2650.5971630.8056730.402837
2660.9425010.1149980.0574989
2670.9165040.1669920.083496
2680.9978820.004235950.00211798
2690.9990810.001838810.000919403
2700.9991320.001735690.000867843
2710.9999270.0001463867.3193e-05
2720.9997910.0004173240.000208662
2730.9995440.0009124190.000456209
2740.9990630.001873010.000936506
2750.9975350.004929460.00246473
2760.9971080.005784570.00289228
2770.9945580.01088470.00544235
2780.9845770.03084560.0154228
2790.9555520.08889670.0444484
2800.9531730.09365380.0468269

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
7 & 0.886308 & 0.227384 & 0.113692 \tabularnewline
8 & 0.901173 & 0.197655 & 0.0988273 \tabularnewline
9 & 0.832868 & 0.334264 & 0.167132 \tabularnewline
10 & 0.749447 & 0.501107 & 0.250553 \tabularnewline
11 & 0.823386 & 0.353229 & 0.176614 \tabularnewline
12 & 0.754675 & 0.49065 & 0.245325 \tabularnewline
13 & 0.80731 & 0.38538 & 0.19269 \tabularnewline
14 & 0.739472 & 0.521055 & 0.260528 \tabularnewline
15 & 0.664964 & 0.670073 & 0.335036 \tabularnewline
16 & 0.659643 & 0.680714 & 0.340357 \tabularnewline
17 & 0.63888 & 0.722239 & 0.36112 \tabularnewline
18 & 0.576383 & 0.847234 & 0.423617 \tabularnewline
19 & 0.509682 & 0.980636 & 0.490318 \tabularnewline
20 & 0.447981 & 0.895961 & 0.552019 \tabularnewline
21 & 0.379917 & 0.759833 & 0.620083 \tabularnewline
22 & 0.492329 & 0.984659 & 0.507671 \tabularnewline
23 & 0.423608 & 0.847216 & 0.576392 \tabularnewline
24 & 0.36365 & 0.727301 & 0.63635 \tabularnewline
25 & 0.354285 & 0.708569 & 0.645715 \tabularnewline
26 & 0.303505 & 0.60701 & 0.696495 \tabularnewline
27 & 0.264571 & 0.529142 & 0.735429 \tabularnewline
28 & 0.246832 & 0.493665 & 0.753168 \tabularnewline
29 & 0.321053 & 0.642105 & 0.678947 \tabularnewline
30 & 0.271349 & 0.542698 & 0.728651 \tabularnewline
31 & 0.243159 & 0.486317 & 0.756841 \tabularnewline
32 & 0.213015 & 0.42603 & 0.786985 \tabularnewline
33 & 0.188302 & 0.376604 & 0.811698 \tabularnewline
34 & 0.217718 & 0.435436 & 0.782282 \tabularnewline
35 & 0.190736 & 0.381472 & 0.809264 \tabularnewline
36 & 0.234867 & 0.469734 & 0.765133 \tabularnewline
37 & 0.199724 & 0.399449 & 0.800276 \tabularnewline
38 & 0.167663 & 0.335327 & 0.832337 \tabularnewline
39 & 0.140895 & 0.281791 & 0.859105 \tabularnewline
40 & 0.126844 & 0.253689 & 0.873156 \tabularnewline
41 & 0.146691 & 0.293382 & 0.853309 \tabularnewline
42 & 0.130103 & 0.260207 & 0.869897 \tabularnewline
43 & 0.182187 & 0.364373 & 0.817813 \tabularnewline
44 & 0.156202 & 0.312404 & 0.843798 \tabularnewline
45 & 0.147158 & 0.294317 & 0.852842 \tabularnewline
46 & 0.12896 & 0.257919 & 0.87104 \tabularnewline
47 & 0.140509 & 0.281019 & 0.859491 \tabularnewline
48 & 0.12143 & 0.242859 & 0.87857 \tabularnewline
49 & 0.108932 & 0.217865 & 0.891068 \tabularnewline
50 & 0.127347 & 0.254693 & 0.872653 \tabularnewline
51 & 0.152372 & 0.304745 & 0.847628 \tabularnewline
52 & 0.141748 & 0.283495 & 0.858252 \tabularnewline
53 & 0.123388 & 0.246776 & 0.876612 \tabularnewline
54 & 0.131051 & 0.262102 & 0.868949 \tabularnewline
55 & 0.116112 & 0.232223 & 0.883888 \tabularnewline
56 & 0.107373 & 0.214747 & 0.892627 \tabularnewline
57 & 0.104457 & 0.208913 & 0.895543 \tabularnewline
58 & 0.0915065 & 0.183013 & 0.908494 \tabularnewline
59 & 0.156795 & 0.31359 & 0.843205 \tabularnewline
60 & 0.187511 & 0.375023 & 0.812489 \tabularnewline
61 & 0.164005 & 0.328009 & 0.835995 \tabularnewline
62 & 0.179675 & 0.359351 & 0.820325 \tabularnewline
63 & 0.179543 & 0.359085 & 0.820457 \tabularnewline
64 & 0.161328 & 0.322655 & 0.838672 \tabularnewline
65 & 0.162095 & 0.32419 & 0.837905 \tabularnewline
66 & 0.208035 & 0.41607 & 0.791965 \tabularnewline
67 & 0.204488 & 0.408977 & 0.795512 \tabularnewline
68 & 0.179667 & 0.359334 & 0.820333 \tabularnewline
69 & 0.178793 & 0.357586 & 0.821207 \tabularnewline
70 & 0.175727 & 0.351454 & 0.824273 \tabularnewline
71 & 0.170564 & 0.341127 & 0.829436 \tabularnewline
72 & 0.159591 & 0.319182 & 0.840409 \tabularnewline
73 & 0.144988 & 0.289977 & 0.855012 \tabularnewline
74 & 0.128222 & 0.256445 & 0.871778 \tabularnewline
75 & 0.114476 & 0.228952 & 0.885524 \tabularnewline
76 & 0.131413 & 0.262826 & 0.868587 \tabularnewline
77 & 0.214197 & 0.428394 & 0.785803 \tabularnewline
78 & 0.203367 & 0.406733 & 0.796633 \tabularnewline
79 & 0.193118 & 0.386236 & 0.806882 \tabularnewline
80 & 0.182726 & 0.365451 & 0.817274 \tabularnewline
81 & 0.180294 & 0.360588 & 0.819706 \tabularnewline
82 & 0.158731 & 0.317462 & 0.841269 \tabularnewline
83 & 0.181218 & 0.362437 & 0.818782 \tabularnewline
84 & 0.159138 & 0.318275 & 0.840862 \tabularnewline
85 & 0.175583 & 0.351166 & 0.824417 \tabularnewline
86 & 0.155681 & 0.311362 & 0.844319 \tabularnewline
87 & 0.271013 & 0.542026 & 0.728987 \tabularnewline
88 & 0.250899 & 0.501797 & 0.749101 \tabularnewline
89 & 0.229693 & 0.459386 & 0.770307 \tabularnewline
90 & 0.20463 & 0.409259 & 0.79537 \tabularnewline
91 & 0.181364 & 0.362728 & 0.818636 \tabularnewline
92 & 0.170882 & 0.341764 & 0.829118 \tabularnewline
93 & 0.178695 & 0.357391 & 0.821305 \tabularnewline
94 & 0.188908 & 0.377816 & 0.811092 \tabularnewline
95 & 0.285904 & 0.571809 & 0.714096 \tabularnewline
96 & 0.28006 & 0.560119 & 0.71994 \tabularnewline
97 & 0.278614 & 0.557228 & 0.721386 \tabularnewline
98 & 0.308972 & 0.617943 & 0.691028 \tabularnewline
99 & 0.302245 & 0.604491 & 0.697755 \tabularnewline
100 & 0.389399 & 0.778798 & 0.610601 \tabularnewline
101 & 0.368099 & 0.736197 & 0.631901 \tabularnewline
102 & 0.401163 & 0.802327 & 0.598837 \tabularnewline
103 & 0.449794 & 0.899589 & 0.550206 \tabularnewline
104 & 0.422401 & 0.844802 & 0.577599 \tabularnewline
105 & 0.40469 & 0.809379 & 0.59531 \tabularnewline
106 & 0.40384 & 0.807681 & 0.59616 \tabularnewline
107 & 0.411104 & 0.822207 & 0.588896 \tabularnewline
108 & 0.44561 & 0.891219 & 0.55439 \tabularnewline
109 & 0.461505 & 0.923011 & 0.538495 \tabularnewline
110 & 0.4784 & 0.9568 & 0.5216 \tabularnewline
111 & 0.66573 & 0.66854 & 0.33427 \tabularnewline
112 & 0.704552 & 0.590896 & 0.295448 \tabularnewline
113 & 0.698477 & 0.603046 & 0.301523 \tabularnewline
114 & 0.689073 & 0.621855 & 0.310927 \tabularnewline
115 & 0.674535 & 0.65093 & 0.325465 \tabularnewline
116 & 0.810452 & 0.379097 & 0.189548 \tabularnewline
117 & 0.806116 & 0.387767 & 0.193884 \tabularnewline
118 & 0.872337 & 0.255325 & 0.127663 \tabularnewline
119 & 0.903707 & 0.192586 & 0.0962929 \tabularnewline
120 & 0.89747 & 0.205061 & 0.10253 \tabularnewline
121 & 0.903865 & 0.19227 & 0.096135 \tabularnewline
122 & 0.907742 & 0.184516 & 0.0922581 \tabularnewline
123 & 0.927195 & 0.14561 & 0.0728049 \tabularnewline
124 & 0.92144 & 0.157121 & 0.0785604 \tabularnewline
125 & 0.928763 & 0.142474 & 0.0712368 \tabularnewline
126 & 0.929577 & 0.140846 & 0.0704232 \tabularnewline
127 & 0.950563 & 0.0988735 & 0.0494368 \tabularnewline
128 & 0.959667 & 0.0806662 & 0.0403331 \tabularnewline
129 & 0.954886 & 0.0902274 & 0.0451137 \tabularnewline
130 & 0.953546 & 0.0929078 & 0.0464539 \tabularnewline
131 & 0.958143 & 0.0837144 & 0.0418572 \tabularnewline
132 & 0.964497 & 0.0710055 & 0.0355027 \tabularnewline
133 & 0.962423 & 0.0751535 & 0.0375768 \tabularnewline
134 & 0.964606 & 0.0707884 & 0.0353942 \tabularnewline
135 & 0.962111 & 0.0757782 & 0.0378891 \tabularnewline
136 & 0.958302 & 0.0833969 & 0.0416984 \tabularnewline
137 & 0.952076 & 0.0958483 & 0.0479241 \tabularnewline
138 & 0.94398 & 0.11204 & 0.0560199 \tabularnewline
139 & 0.93678 & 0.126441 & 0.0632204 \tabularnewline
140 & 0.952454 & 0.0950915 & 0.0475458 \tabularnewline
141 & 0.953352 & 0.0932965 & 0.0466483 \tabularnewline
142 & 0.94943 & 0.101141 & 0.0505704 \tabularnewline
143 & 0.941209 & 0.117582 & 0.0587911 \tabularnewline
144 & 0.932229 & 0.135542 & 0.0677709 \tabularnewline
145 & 0.961887 & 0.0762252 & 0.0381126 \tabularnewline
146 & 0.958588 & 0.0828243 & 0.0414121 \tabularnewline
147 & 0.957342 & 0.0853168 & 0.0426584 \tabularnewline
148 & 0.955538 & 0.0889242 & 0.0444621 \tabularnewline
149 & 0.951117 & 0.0977651 & 0.0488825 \tabularnewline
150 & 0.953022 & 0.0939552 & 0.0469776 \tabularnewline
151 & 0.946449 & 0.107101 & 0.0535506 \tabularnewline
152 & 0.944835 & 0.110331 & 0.0551655 \tabularnewline
153 & 0.936836 & 0.126328 & 0.0631641 \tabularnewline
154 & 0.93334 & 0.133321 & 0.0666605 \tabularnewline
155 & 0.931045 & 0.137911 & 0.0689553 \tabularnewline
156 & 0.974145 & 0.0517099 & 0.025855 \tabularnewline
157 & 0.971582 & 0.056837 & 0.0284185 \tabularnewline
158 & 0.971951 & 0.0560975 & 0.0280487 \tabularnewline
159 & 0.968217 & 0.0635652 & 0.0317826 \tabularnewline
160 & 0.967846 & 0.0643074 & 0.0321537 \tabularnewline
161 & 0.961357 & 0.0772867 & 0.0386434 \tabularnewline
162 & 0.960122 & 0.0797562 & 0.0398781 \tabularnewline
163 & 0.953939 & 0.0921229 & 0.0460614 \tabularnewline
164 & 0.950313 & 0.0993739 & 0.0496869 \tabularnewline
165 & 0.942175 & 0.11565 & 0.057825 \tabularnewline
166 & 0.965177 & 0.0696455 & 0.0348228 \tabularnewline
167 & 0.958232 & 0.0835356 & 0.0417678 \tabularnewline
168 & 0.957506 & 0.0849885 & 0.0424943 \tabularnewline
169 & 0.988116 & 0.0237674 & 0.0118837 \tabularnewline
170 & 0.991595 & 0.0168093 & 0.00840464 \tabularnewline
171 & 0.989425 & 0.0211505 & 0.0105752 \tabularnewline
172 & 0.989722 & 0.0205554 & 0.0102777 \tabularnewline
173 & 0.992534 & 0.0149329 & 0.00746643 \tabularnewline
174 & 0.990491 & 0.0190171 & 0.00950857 \tabularnewline
175 & 0.990332 & 0.0193352 & 0.00966762 \tabularnewline
176 & 0.988377 & 0.0232465 & 0.0116233 \tabularnewline
177 & 0.992503 & 0.0149938 & 0.00749692 \tabularnewline
178 & 0.991175 & 0.0176506 & 0.00882532 \tabularnewline
179 & 0.990336 & 0.0193284 & 0.00966418 \tabularnewline
180 & 0.989574 & 0.0208529 & 0.0104265 \tabularnewline
181 & 0.991943 & 0.0161144 & 0.0080572 \tabularnewline
182 & 0.990456 & 0.0190875 & 0.00954376 \tabularnewline
183 & 0.989656 & 0.0206879 & 0.010344 \tabularnewline
184 & 0.988112 & 0.0237768 & 0.0118884 \tabularnewline
185 & 0.991914 & 0.0161722 & 0.00808611 \tabularnewline
186 & 0.989862 & 0.0202767 & 0.0101383 \tabularnewline
187 & 0.987554 & 0.0248916 & 0.0124458 \tabularnewline
188 & 0.985574 & 0.0288516 & 0.0144258 \tabularnewline
189 & 0.982711 & 0.0345779 & 0.017289 \tabularnewline
190 & 0.981285 & 0.0374292 & 0.0187146 \tabularnewline
191 & 0.979159 & 0.0416825 & 0.0208413 \tabularnewline
192 & 0.986828 & 0.0263442 & 0.0131721 \tabularnewline
193 & 0.983863 & 0.0322744 & 0.0161372 \tabularnewline
194 & 0.981599 & 0.0368028 & 0.0184014 \tabularnewline
195 & 0.977121 & 0.0457577 & 0.0228789 \tabularnewline
196 & 0.97261 & 0.0547797 & 0.0273898 \tabularnewline
197 & 0.970179 & 0.0596421 & 0.029821 \tabularnewline
198 & 0.966337 & 0.0673253 & 0.0336626 \tabularnewline
199 & 0.977984 & 0.044033 & 0.0220165 \tabularnewline
200 & 0.974124 & 0.0517527 & 0.0258764 \tabularnewline
201 & 0.969339 & 0.061322 & 0.030661 \tabularnewline
202 & 0.970565 & 0.0588701 & 0.029435 \tabularnewline
203 & 0.963607 & 0.0727866 & 0.0363933 \tabularnewline
204 & 0.967884 & 0.064232 & 0.032116 \tabularnewline
205 & 0.968929 & 0.0621429 & 0.0310714 \tabularnewline
206 & 0.965799 & 0.0684026 & 0.0342013 \tabularnewline
207 & 0.962652 & 0.0746957 & 0.0373479 \tabularnewline
208 & 0.958152 & 0.0836965 & 0.0418483 \tabularnewline
209 & 0.948745 & 0.102511 & 0.0512555 \tabularnewline
210 & 0.940659 & 0.118681 & 0.0593406 \tabularnewline
211 & 0.951517 & 0.0969651 & 0.0484825 \tabularnewline
212 & 0.948948 & 0.102103 & 0.0510517 \tabularnewline
213 & 0.945294 & 0.109412 & 0.0547059 \tabularnewline
214 & 0.9334 & 0.133201 & 0.0666005 \tabularnewline
215 & 0.931689 & 0.136623 & 0.0683113 \tabularnewline
216 & 0.929168 & 0.141665 & 0.0708324 \tabularnewline
217 & 0.921142 & 0.157717 & 0.0788584 \tabularnewline
218 & 0.909845 & 0.180309 & 0.0901546 \tabularnewline
219 & 0.920613 & 0.158775 & 0.0793875 \tabularnewline
220 & 0.908504 & 0.182992 & 0.0914959 \tabularnewline
221 & 0.902222 & 0.195557 & 0.0977784 \tabularnewline
222 & 0.889473 & 0.221055 & 0.110527 \tabularnewline
223 & 0.889192 & 0.221615 & 0.110808 \tabularnewline
224 & 0.879684 & 0.240631 & 0.120316 \tabularnewline
225 & 0.866452 & 0.267096 & 0.133548 \tabularnewline
226 & 0.84239 & 0.31522 & 0.15761 \tabularnewline
227 & 0.814843 & 0.370313 & 0.185157 \tabularnewline
228 & 0.78738 & 0.42524 & 0.21262 \tabularnewline
229 & 0.817332 & 0.365336 & 0.182668 \tabularnewline
230 & 0.790807 & 0.418386 & 0.209193 \tabularnewline
231 & 0.788196 & 0.423607 & 0.211804 \tabularnewline
232 & 0.76636 & 0.46728 & 0.23364 \tabularnewline
233 & 0.817123 & 0.365755 & 0.182877 \tabularnewline
234 & 0.814169 & 0.371662 & 0.185831 \tabularnewline
235 & 0.819907 & 0.360186 & 0.180093 \tabularnewline
236 & 0.822105 & 0.355789 & 0.177895 \tabularnewline
237 & 0.823494 & 0.353011 & 0.176506 \tabularnewline
238 & 0.835045 & 0.32991 & 0.164955 \tabularnewline
239 & 0.816809 & 0.366381 & 0.183191 \tabularnewline
240 & 0.789373 & 0.421254 & 0.210627 \tabularnewline
241 & 0.802463 & 0.395073 & 0.197537 \tabularnewline
242 & 0.803636 & 0.392728 & 0.196364 \tabularnewline
243 & 0.923713 & 0.152574 & 0.0762868 \tabularnewline
244 & 0.911693 & 0.176615 & 0.0883074 \tabularnewline
245 & 0.925942 & 0.148116 & 0.074058 \tabularnewline
246 & 0.90775 & 0.1845 & 0.0922498 \tabularnewline
247 & 0.884616 & 0.230768 & 0.115384 \tabularnewline
248 & 0.86898 & 0.26204 & 0.13102 \tabularnewline
249 & 0.847302 & 0.305395 & 0.152698 \tabularnewline
250 & 0.83797 & 0.324061 & 0.16203 \tabularnewline
251 & 0.852216 & 0.295568 & 0.147784 \tabularnewline
252 & 0.904775 & 0.19045 & 0.0952249 \tabularnewline
253 & 0.880562 & 0.238877 & 0.119438 \tabularnewline
254 & 0.855403 & 0.289194 & 0.144597 \tabularnewline
255 & 0.819873 & 0.360254 & 0.180127 \tabularnewline
256 & 0.781158 & 0.437684 & 0.218842 \tabularnewline
257 & 0.733631 & 0.532737 & 0.266369 \tabularnewline
258 & 0.688945 & 0.62211 & 0.311055 \tabularnewline
259 & 0.678178 & 0.643644 & 0.321822 \tabularnewline
260 & 0.661359 & 0.677282 & 0.338641 \tabularnewline
261 & 0.599775 & 0.80045 & 0.400225 \tabularnewline
262 & 0.563488 & 0.873023 & 0.436512 \tabularnewline
263 & 0.654701 & 0.690598 & 0.345299 \tabularnewline
264 & 0.599793 & 0.800415 & 0.400207 \tabularnewline
265 & 0.597163 & 0.805673 & 0.402837 \tabularnewline
266 & 0.942501 & 0.114998 & 0.0574989 \tabularnewline
267 & 0.916504 & 0.166992 & 0.083496 \tabularnewline
268 & 0.997882 & 0.00423595 & 0.00211798 \tabularnewline
269 & 0.999081 & 0.00183881 & 0.000919403 \tabularnewline
270 & 0.999132 & 0.00173569 & 0.000867843 \tabularnewline
271 & 0.999927 & 0.000146386 & 7.3193e-05 \tabularnewline
272 & 0.999791 & 0.000417324 & 0.000208662 \tabularnewline
273 & 0.999544 & 0.000912419 & 0.000456209 \tabularnewline
274 & 0.999063 & 0.00187301 & 0.000936506 \tabularnewline
275 & 0.997535 & 0.00492946 & 0.00246473 \tabularnewline
276 & 0.997108 & 0.00578457 & 0.00289228 \tabularnewline
277 & 0.994558 & 0.0108847 & 0.00544235 \tabularnewline
278 & 0.984577 & 0.0308456 & 0.0154228 \tabularnewline
279 & 0.955552 & 0.0888967 & 0.0444484 \tabularnewline
280 & 0.953173 & 0.0936538 & 0.0468269 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271050&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]7[/C][C]0.886308[/C][C]0.227384[/C][C]0.113692[/C][/ROW]
[ROW][C]8[/C][C]0.901173[/C][C]0.197655[/C][C]0.0988273[/C][/ROW]
[ROW][C]9[/C][C]0.832868[/C][C]0.334264[/C][C]0.167132[/C][/ROW]
[ROW][C]10[/C][C]0.749447[/C][C]0.501107[/C][C]0.250553[/C][/ROW]
[ROW][C]11[/C][C]0.823386[/C][C]0.353229[/C][C]0.176614[/C][/ROW]
[ROW][C]12[/C][C]0.754675[/C][C]0.49065[/C][C]0.245325[/C][/ROW]
[ROW][C]13[/C][C]0.80731[/C][C]0.38538[/C][C]0.19269[/C][/ROW]
[ROW][C]14[/C][C]0.739472[/C][C]0.521055[/C][C]0.260528[/C][/ROW]
[ROW][C]15[/C][C]0.664964[/C][C]0.670073[/C][C]0.335036[/C][/ROW]
[ROW][C]16[/C][C]0.659643[/C][C]0.680714[/C][C]0.340357[/C][/ROW]
[ROW][C]17[/C][C]0.63888[/C][C]0.722239[/C][C]0.36112[/C][/ROW]
[ROW][C]18[/C][C]0.576383[/C][C]0.847234[/C][C]0.423617[/C][/ROW]
[ROW][C]19[/C][C]0.509682[/C][C]0.980636[/C][C]0.490318[/C][/ROW]
[ROW][C]20[/C][C]0.447981[/C][C]0.895961[/C][C]0.552019[/C][/ROW]
[ROW][C]21[/C][C]0.379917[/C][C]0.759833[/C][C]0.620083[/C][/ROW]
[ROW][C]22[/C][C]0.492329[/C][C]0.984659[/C][C]0.507671[/C][/ROW]
[ROW][C]23[/C][C]0.423608[/C][C]0.847216[/C][C]0.576392[/C][/ROW]
[ROW][C]24[/C][C]0.36365[/C][C]0.727301[/C][C]0.63635[/C][/ROW]
[ROW][C]25[/C][C]0.354285[/C][C]0.708569[/C][C]0.645715[/C][/ROW]
[ROW][C]26[/C][C]0.303505[/C][C]0.60701[/C][C]0.696495[/C][/ROW]
[ROW][C]27[/C][C]0.264571[/C][C]0.529142[/C][C]0.735429[/C][/ROW]
[ROW][C]28[/C][C]0.246832[/C][C]0.493665[/C][C]0.753168[/C][/ROW]
[ROW][C]29[/C][C]0.321053[/C][C]0.642105[/C][C]0.678947[/C][/ROW]
[ROW][C]30[/C][C]0.271349[/C][C]0.542698[/C][C]0.728651[/C][/ROW]
[ROW][C]31[/C][C]0.243159[/C][C]0.486317[/C][C]0.756841[/C][/ROW]
[ROW][C]32[/C][C]0.213015[/C][C]0.42603[/C][C]0.786985[/C][/ROW]
[ROW][C]33[/C][C]0.188302[/C][C]0.376604[/C][C]0.811698[/C][/ROW]
[ROW][C]34[/C][C]0.217718[/C][C]0.435436[/C][C]0.782282[/C][/ROW]
[ROW][C]35[/C][C]0.190736[/C][C]0.381472[/C][C]0.809264[/C][/ROW]
[ROW][C]36[/C][C]0.234867[/C][C]0.469734[/C][C]0.765133[/C][/ROW]
[ROW][C]37[/C][C]0.199724[/C][C]0.399449[/C][C]0.800276[/C][/ROW]
[ROW][C]38[/C][C]0.167663[/C][C]0.335327[/C][C]0.832337[/C][/ROW]
[ROW][C]39[/C][C]0.140895[/C][C]0.281791[/C][C]0.859105[/C][/ROW]
[ROW][C]40[/C][C]0.126844[/C][C]0.253689[/C][C]0.873156[/C][/ROW]
[ROW][C]41[/C][C]0.146691[/C][C]0.293382[/C][C]0.853309[/C][/ROW]
[ROW][C]42[/C][C]0.130103[/C][C]0.260207[/C][C]0.869897[/C][/ROW]
[ROW][C]43[/C][C]0.182187[/C][C]0.364373[/C][C]0.817813[/C][/ROW]
[ROW][C]44[/C][C]0.156202[/C][C]0.312404[/C][C]0.843798[/C][/ROW]
[ROW][C]45[/C][C]0.147158[/C][C]0.294317[/C][C]0.852842[/C][/ROW]
[ROW][C]46[/C][C]0.12896[/C][C]0.257919[/C][C]0.87104[/C][/ROW]
[ROW][C]47[/C][C]0.140509[/C][C]0.281019[/C][C]0.859491[/C][/ROW]
[ROW][C]48[/C][C]0.12143[/C][C]0.242859[/C][C]0.87857[/C][/ROW]
[ROW][C]49[/C][C]0.108932[/C][C]0.217865[/C][C]0.891068[/C][/ROW]
[ROW][C]50[/C][C]0.127347[/C][C]0.254693[/C][C]0.872653[/C][/ROW]
[ROW][C]51[/C][C]0.152372[/C][C]0.304745[/C][C]0.847628[/C][/ROW]
[ROW][C]52[/C][C]0.141748[/C][C]0.283495[/C][C]0.858252[/C][/ROW]
[ROW][C]53[/C][C]0.123388[/C][C]0.246776[/C][C]0.876612[/C][/ROW]
[ROW][C]54[/C][C]0.131051[/C][C]0.262102[/C][C]0.868949[/C][/ROW]
[ROW][C]55[/C][C]0.116112[/C][C]0.232223[/C][C]0.883888[/C][/ROW]
[ROW][C]56[/C][C]0.107373[/C][C]0.214747[/C][C]0.892627[/C][/ROW]
[ROW][C]57[/C][C]0.104457[/C][C]0.208913[/C][C]0.895543[/C][/ROW]
[ROW][C]58[/C][C]0.0915065[/C][C]0.183013[/C][C]0.908494[/C][/ROW]
[ROW][C]59[/C][C]0.156795[/C][C]0.31359[/C][C]0.843205[/C][/ROW]
[ROW][C]60[/C][C]0.187511[/C][C]0.375023[/C][C]0.812489[/C][/ROW]
[ROW][C]61[/C][C]0.164005[/C][C]0.328009[/C][C]0.835995[/C][/ROW]
[ROW][C]62[/C][C]0.179675[/C][C]0.359351[/C][C]0.820325[/C][/ROW]
[ROW][C]63[/C][C]0.179543[/C][C]0.359085[/C][C]0.820457[/C][/ROW]
[ROW][C]64[/C][C]0.161328[/C][C]0.322655[/C][C]0.838672[/C][/ROW]
[ROW][C]65[/C][C]0.162095[/C][C]0.32419[/C][C]0.837905[/C][/ROW]
[ROW][C]66[/C][C]0.208035[/C][C]0.41607[/C][C]0.791965[/C][/ROW]
[ROW][C]67[/C][C]0.204488[/C][C]0.408977[/C][C]0.795512[/C][/ROW]
[ROW][C]68[/C][C]0.179667[/C][C]0.359334[/C][C]0.820333[/C][/ROW]
[ROW][C]69[/C][C]0.178793[/C][C]0.357586[/C][C]0.821207[/C][/ROW]
[ROW][C]70[/C][C]0.175727[/C][C]0.351454[/C][C]0.824273[/C][/ROW]
[ROW][C]71[/C][C]0.170564[/C][C]0.341127[/C][C]0.829436[/C][/ROW]
[ROW][C]72[/C][C]0.159591[/C][C]0.319182[/C][C]0.840409[/C][/ROW]
[ROW][C]73[/C][C]0.144988[/C][C]0.289977[/C][C]0.855012[/C][/ROW]
[ROW][C]74[/C][C]0.128222[/C][C]0.256445[/C][C]0.871778[/C][/ROW]
[ROW][C]75[/C][C]0.114476[/C][C]0.228952[/C][C]0.885524[/C][/ROW]
[ROW][C]76[/C][C]0.131413[/C][C]0.262826[/C][C]0.868587[/C][/ROW]
[ROW][C]77[/C][C]0.214197[/C][C]0.428394[/C][C]0.785803[/C][/ROW]
[ROW][C]78[/C][C]0.203367[/C][C]0.406733[/C][C]0.796633[/C][/ROW]
[ROW][C]79[/C][C]0.193118[/C][C]0.386236[/C][C]0.806882[/C][/ROW]
[ROW][C]80[/C][C]0.182726[/C][C]0.365451[/C][C]0.817274[/C][/ROW]
[ROW][C]81[/C][C]0.180294[/C][C]0.360588[/C][C]0.819706[/C][/ROW]
[ROW][C]82[/C][C]0.158731[/C][C]0.317462[/C][C]0.841269[/C][/ROW]
[ROW][C]83[/C][C]0.181218[/C][C]0.362437[/C][C]0.818782[/C][/ROW]
[ROW][C]84[/C][C]0.159138[/C][C]0.318275[/C][C]0.840862[/C][/ROW]
[ROW][C]85[/C][C]0.175583[/C][C]0.351166[/C][C]0.824417[/C][/ROW]
[ROW][C]86[/C][C]0.155681[/C][C]0.311362[/C][C]0.844319[/C][/ROW]
[ROW][C]87[/C][C]0.271013[/C][C]0.542026[/C][C]0.728987[/C][/ROW]
[ROW][C]88[/C][C]0.250899[/C][C]0.501797[/C][C]0.749101[/C][/ROW]
[ROW][C]89[/C][C]0.229693[/C][C]0.459386[/C][C]0.770307[/C][/ROW]
[ROW][C]90[/C][C]0.20463[/C][C]0.409259[/C][C]0.79537[/C][/ROW]
[ROW][C]91[/C][C]0.181364[/C][C]0.362728[/C][C]0.818636[/C][/ROW]
[ROW][C]92[/C][C]0.170882[/C][C]0.341764[/C][C]0.829118[/C][/ROW]
[ROW][C]93[/C][C]0.178695[/C][C]0.357391[/C][C]0.821305[/C][/ROW]
[ROW][C]94[/C][C]0.188908[/C][C]0.377816[/C][C]0.811092[/C][/ROW]
[ROW][C]95[/C][C]0.285904[/C][C]0.571809[/C][C]0.714096[/C][/ROW]
[ROW][C]96[/C][C]0.28006[/C][C]0.560119[/C][C]0.71994[/C][/ROW]
[ROW][C]97[/C][C]0.278614[/C][C]0.557228[/C][C]0.721386[/C][/ROW]
[ROW][C]98[/C][C]0.308972[/C][C]0.617943[/C][C]0.691028[/C][/ROW]
[ROW][C]99[/C][C]0.302245[/C][C]0.604491[/C][C]0.697755[/C][/ROW]
[ROW][C]100[/C][C]0.389399[/C][C]0.778798[/C][C]0.610601[/C][/ROW]
[ROW][C]101[/C][C]0.368099[/C][C]0.736197[/C][C]0.631901[/C][/ROW]
[ROW][C]102[/C][C]0.401163[/C][C]0.802327[/C][C]0.598837[/C][/ROW]
[ROW][C]103[/C][C]0.449794[/C][C]0.899589[/C][C]0.550206[/C][/ROW]
[ROW][C]104[/C][C]0.422401[/C][C]0.844802[/C][C]0.577599[/C][/ROW]
[ROW][C]105[/C][C]0.40469[/C][C]0.809379[/C][C]0.59531[/C][/ROW]
[ROW][C]106[/C][C]0.40384[/C][C]0.807681[/C][C]0.59616[/C][/ROW]
[ROW][C]107[/C][C]0.411104[/C][C]0.822207[/C][C]0.588896[/C][/ROW]
[ROW][C]108[/C][C]0.44561[/C][C]0.891219[/C][C]0.55439[/C][/ROW]
[ROW][C]109[/C][C]0.461505[/C][C]0.923011[/C][C]0.538495[/C][/ROW]
[ROW][C]110[/C][C]0.4784[/C][C]0.9568[/C][C]0.5216[/C][/ROW]
[ROW][C]111[/C][C]0.66573[/C][C]0.66854[/C][C]0.33427[/C][/ROW]
[ROW][C]112[/C][C]0.704552[/C][C]0.590896[/C][C]0.295448[/C][/ROW]
[ROW][C]113[/C][C]0.698477[/C][C]0.603046[/C][C]0.301523[/C][/ROW]
[ROW][C]114[/C][C]0.689073[/C][C]0.621855[/C][C]0.310927[/C][/ROW]
[ROW][C]115[/C][C]0.674535[/C][C]0.65093[/C][C]0.325465[/C][/ROW]
[ROW][C]116[/C][C]0.810452[/C][C]0.379097[/C][C]0.189548[/C][/ROW]
[ROW][C]117[/C][C]0.806116[/C][C]0.387767[/C][C]0.193884[/C][/ROW]
[ROW][C]118[/C][C]0.872337[/C][C]0.255325[/C][C]0.127663[/C][/ROW]
[ROW][C]119[/C][C]0.903707[/C][C]0.192586[/C][C]0.0962929[/C][/ROW]
[ROW][C]120[/C][C]0.89747[/C][C]0.205061[/C][C]0.10253[/C][/ROW]
[ROW][C]121[/C][C]0.903865[/C][C]0.19227[/C][C]0.096135[/C][/ROW]
[ROW][C]122[/C][C]0.907742[/C][C]0.184516[/C][C]0.0922581[/C][/ROW]
[ROW][C]123[/C][C]0.927195[/C][C]0.14561[/C][C]0.0728049[/C][/ROW]
[ROW][C]124[/C][C]0.92144[/C][C]0.157121[/C][C]0.0785604[/C][/ROW]
[ROW][C]125[/C][C]0.928763[/C][C]0.142474[/C][C]0.0712368[/C][/ROW]
[ROW][C]126[/C][C]0.929577[/C][C]0.140846[/C][C]0.0704232[/C][/ROW]
[ROW][C]127[/C][C]0.950563[/C][C]0.0988735[/C][C]0.0494368[/C][/ROW]
[ROW][C]128[/C][C]0.959667[/C][C]0.0806662[/C][C]0.0403331[/C][/ROW]
[ROW][C]129[/C][C]0.954886[/C][C]0.0902274[/C][C]0.0451137[/C][/ROW]
[ROW][C]130[/C][C]0.953546[/C][C]0.0929078[/C][C]0.0464539[/C][/ROW]
[ROW][C]131[/C][C]0.958143[/C][C]0.0837144[/C][C]0.0418572[/C][/ROW]
[ROW][C]132[/C][C]0.964497[/C][C]0.0710055[/C][C]0.0355027[/C][/ROW]
[ROW][C]133[/C][C]0.962423[/C][C]0.0751535[/C][C]0.0375768[/C][/ROW]
[ROW][C]134[/C][C]0.964606[/C][C]0.0707884[/C][C]0.0353942[/C][/ROW]
[ROW][C]135[/C][C]0.962111[/C][C]0.0757782[/C][C]0.0378891[/C][/ROW]
[ROW][C]136[/C][C]0.958302[/C][C]0.0833969[/C][C]0.0416984[/C][/ROW]
[ROW][C]137[/C][C]0.952076[/C][C]0.0958483[/C][C]0.0479241[/C][/ROW]
[ROW][C]138[/C][C]0.94398[/C][C]0.11204[/C][C]0.0560199[/C][/ROW]
[ROW][C]139[/C][C]0.93678[/C][C]0.126441[/C][C]0.0632204[/C][/ROW]
[ROW][C]140[/C][C]0.952454[/C][C]0.0950915[/C][C]0.0475458[/C][/ROW]
[ROW][C]141[/C][C]0.953352[/C][C]0.0932965[/C][C]0.0466483[/C][/ROW]
[ROW][C]142[/C][C]0.94943[/C][C]0.101141[/C][C]0.0505704[/C][/ROW]
[ROW][C]143[/C][C]0.941209[/C][C]0.117582[/C][C]0.0587911[/C][/ROW]
[ROW][C]144[/C][C]0.932229[/C][C]0.135542[/C][C]0.0677709[/C][/ROW]
[ROW][C]145[/C][C]0.961887[/C][C]0.0762252[/C][C]0.0381126[/C][/ROW]
[ROW][C]146[/C][C]0.958588[/C][C]0.0828243[/C][C]0.0414121[/C][/ROW]
[ROW][C]147[/C][C]0.957342[/C][C]0.0853168[/C][C]0.0426584[/C][/ROW]
[ROW][C]148[/C][C]0.955538[/C][C]0.0889242[/C][C]0.0444621[/C][/ROW]
[ROW][C]149[/C][C]0.951117[/C][C]0.0977651[/C][C]0.0488825[/C][/ROW]
[ROW][C]150[/C][C]0.953022[/C][C]0.0939552[/C][C]0.0469776[/C][/ROW]
[ROW][C]151[/C][C]0.946449[/C][C]0.107101[/C][C]0.0535506[/C][/ROW]
[ROW][C]152[/C][C]0.944835[/C][C]0.110331[/C][C]0.0551655[/C][/ROW]
[ROW][C]153[/C][C]0.936836[/C][C]0.126328[/C][C]0.0631641[/C][/ROW]
[ROW][C]154[/C][C]0.93334[/C][C]0.133321[/C][C]0.0666605[/C][/ROW]
[ROW][C]155[/C][C]0.931045[/C][C]0.137911[/C][C]0.0689553[/C][/ROW]
[ROW][C]156[/C][C]0.974145[/C][C]0.0517099[/C][C]0.025855[/C][/ROW]
[ROW][C]157[/C][C]0.971582[/C][C]0.056837[/C][C]0.0284185[/C][/ROW]
[ROW][C]158[/C][C]0.971951[/C][C]0.0560975[/C][C]0.0280487[/C][/ROW]
[ROW][C]159[/C][C]0.968217[/C][C]0.0635652[/C][C]0.0317826[/C][/ROW]
[ROW][C]160[/C][C]0.967846[/C][C]0.0643074[/C][C]0.0321537[/C][/ROW]
[ROW][C]161[/C][C]0.961357[/C][C]0.0772867[/C][C]0.0386434[/C][/ROW]
[ROW][C]162[/C][C]0.960122[/C][C]0.0797562[/C][C]0.0398781[/C][/ROW]
[ROW][C]163[/C][C]0.953939[/C][C]0.0921229[/C][C]0.0460614[/C][/ROW]
[ROW][C]164[/C][C]0.950313[/C][C]0.0993739[/C][C]0.0496869[/C][/ROW]
[ROW][C]165[/C][C]0.942175[/C][C]0.11565[/C][C]0.057825[/C][/ROW]
[ROW][C]166[/C][C]0.965177[/C][C]0.0696455[/C][C]0.0348228[/C][/ROW]
[ROW][C]167[/C][C]0.958232[/C][C]0.0835356[/C][C]0.0417678[/C][/ROW]
[ROW][C]168[/C][C]0.957506[/C][C]0.0849885[/C][C]0.0424943[/C][/ROW]
[ROW][C]169[/C][C]0.988116[/C][C]0.0237674[/C][C]0.0118837[/C][/ROW]
[ROW][C]170[/C][C]0.991595[/C][C]0.0168093[/C][C]0.00840464[/C][/ROW]
[ROW][C]171[/C][C]0.989425[/C][C]0.0211505[/C][C]0.0105752[/C][/ROW]
[ROW][C]172[/C][C]0.989722[/C][C]0.0205554[/C][C]0.0102777[/C][/ROW]
[ROW][C]173[/C][C]0.992534[/C][C]0.0149329[/C][C]0.00746643[/C][/ROW]
[ROW][C]174[/C][C]0.990491[/C][C]0.0190171[/C][C]0.00950857[/C][/ROW]
[ROW][C]175[/C][C]0.990332[/C][C]0.0193352[/C][C]0.00966762[/C][/ROW]
[ROW][C]176[/C][C]0.988377[/C][C]0.0232465[/C][C]0.0116233[/C][/ROW]
[ROW][C]177[/C][C]0.992503[/C][C]0.0149938[/C][C]0.00749692[/C][/ROW]
[ROW][C]178[/C][C]0.991175[/C][C]0.0176506[/C][C]0.00882532[/C][/ROW]
[ROW][C]179[/C][C]0.990336[/C][C]0.0193284[/C][C]0.00966418[/C][/ROW]
[ROW][C]180[/C][C]0.989574[/C][C]0.0208529[/C][C]0.0104265[/C][/ROW]
[ROW][C]181[/C][C]0.991943[/C][C]0.0161144[/C][C]0.0080572[/C][/ROW]
[ROW][C]182[/C][C]0.990456[/C][C]0.0190875[/C][C]0.00954376[/C][/ROW]
[ROW][C]183[/C][C]0.989656[/C][C]0.0206879[/C][C]0.010344[/C][/ROW]
[ROW][C]184[/C][C]0.988112[/C][C]0.0237768[/C][C]0.0118884[/C][/ROW]
[ROW][C]185[/C][C]0.991914[/C][C]0.0161722[/C][C]0.00808611[/C][/ROW]
[ROW][C]186[/C][C]0.989862[/C][C]0.0202767[/C][C]0.0101383[/C][/ROW]
[ROW][C]187[/C][C]0.987554[/C][C]0.0248916[/C][C]0.0124458[/C][/ROW]
[ROW][C]188[/C][C]0.985574[/C][C]0.0288516[/C][C]0.0144258[/C][/ROW]
[ROW][C]189[/C][C]0.982711[/C][C]0.0345779[/C][C]0.017289[/C][/ROW]
[ROW][C]190[/C][C]0.981285[/C][C]0.0374292[/C][C]0.0187146[/C][/ROW]
[ROW][C]191[/C][C]0.979159[/C][C]0.0416825[/C][C]0.0208413[/C][/ROW]
[ROW][C]192[/C][C]0.986828[/C][C]0.0263442[/C][C]0.0131721[/C][/ROW]
[ROW][C]193[/C][C]0.983863[/C][C]0.0322744[/C][C]0.0161372[/C][/ROW]
[ROW][C]194[/C][C]0.981599[/C][C]0.0368028[/C][C]0.0184014[/C][/ROW]
[ROW][C]195[/C][C]0.977121[/C][C]0.0457577[/C][C]0.0228789[/C][/ROW]
[ROW][C]196[/C][C]0.97261[/C][C]0.0547797[/C][C]0.0273898[/C][/ROW]
[ROW][C]197[/C][C]0.970179[/C][C]0.0596421[/C][C]0.029821[/C][/ROW]
[ROW][C]198[/C][C]0.966337[/C][C]0.0673253[/C][C]0.0336626[/C][/ROW]
[ROW][C]199[/C][C]0.977984[/C][C]0.044033[/C][C]0.0220165[/C][/ROW]
[ROW][C]200[/C][C]0.974124[/C][C]0.0517527[/C][C]0.0258764[/C][/ROW]
[ROW][C]201[/C][C]0.969339[/C][C]0.061322[/C][C]0.030661[/C][/ROW]
[ROW][C]202[/C][C]0.970565[/C][C]0.0588701[/C][C]0.029435[/C][/ROW]
[ROW][C]203[/C][C]0.963607[/C][C]0.0727866[/C][C]0.0363933[/C][/ROW]
[ROW][C]204[/C][C]0.967884[/C][C]0.064232[/C][C]0.032116[/C][/ROW]
[ROW][C]205[/C][C]0.968929[/C][C]0.0621429[/C][C]0.0310714[/C][/ROW]
[ROW][C]206[/C][C]0.965799[/C][C]0.0684026[/C][C]0.0342013[/C][/ROW]
[ROW][C]207[/C][C]0.962652[/C][C]0.0746957[/C][C]0.0373479[/C][/ROW]
[ROW][C]208[/C][C]0.958152[/C][C]0.0836965[/C][C]0.0418483[/C][/ROW]
[ROW][C]209[/C][C]0.948745[/C][C]0.102511[/C][C]0.0512555[/C][/ROW]
[ROW][C]210[/C][C]0.940659[/C][C]0.118681[/C][C]0.0593406[/C][/ROW]
[ROW][C]211[/C][C]0.951517[/C][C]0.0969651[/C][C]0.0484825[/C][/ROW]
[ROW][C]212[/C][C]0.948948[/C][C]0.102103[/C][C]0.0510517[/C][/ROW]
[ROW][C]213[/C][C]0.945294[/C][C]0.109412[/C][C]0.0547059[/C][/ROW]
[ROW][C]214[/C][C]0.9334[/C][C]0.133201[/C][C]0.0666005[/C][/ROW]
[ROW][C]215[/C][C]0.931689[/C][C]0.136623[/C][C]0.0683113[/C][/ROW]
[ROW][C]216[/C][C]0.929168[/C][C]0.141665[/C][C]0.0708324[/C][/ROW]
[ROW][C]217[/C][C]0.921142[/C][C]0.157717[/C][C]0.0788584[/C][/ROW]
[ROW][C]218[/C][C]0.909845[/C][C]0.180309[/C][C]0.0901546[/C][/ROW]
[ROW][C]219[/C][C]0.920613[/C][C]0.158775[/C][C]0.0793875[/C][/ROW]
[ROW][C]220[/C][C]0.908504[/C][C]0.182992[/C][C]0.0914959[/C][/ROW]
[ROW][C]221[/C][C]0.902222[/C][C]0.195557[/C][C]0.0977784[/C][/ROW]
[ROW][C]222[/C][C]0.889473[/C][C]0.221055[/C][C]0.110527[/C][/ROW]
[ROW][C]223[/C][C]0.889192[/C][C]0.221615[/C][C]0.110808[/C][/ROW]
[ROW][C]224[/C][C]0.879684[/C][C]0.240631[/C][C]0.120316[/C][/ROW]
[ROW][C]225[/C][C]0.866452[/C][C]0.267096[/C][C]0.133548[/C][/ROW]
[ROW][C]226[/C][C]0.84239[/C][C]0.31522[/C][C]0.15761[/C][/ROW]
[ROW][C]227[/C][C]0.814843[/C][C]0.370313[/C][C]0.185157[/C][/ROW]
[ROW][C]228[/C][C]0.78738[/C][C]0.42524[/C][C]0.21262[/C][/ROW]
[ROW][C]229[/C][C]0.817332[/C][C]0.365336[/C][C]0.182668[/C][/ROW]
[ROW][C]230[/C][C]0.790807[/C][C]0.418386[/C][C]0.209193[/C][/ROW]
[ROW][C]231[/C][C]0.788196[/C][C]0.423607[/C][C]0.211804[/C][/ROW]
[ROW][C]232[/C][C]0.76636[/C][C]0.46728[/C][C]0.23364[/C][/ROW]
[ROW][C]233[/C][C]0.817123[/C][C]0.365755[/C][C]0.182877[/C][/ROW]
[ROW][C]234[/C][C]0.814169[/C][C]0.371662[/C][C]0.185831[/C][/ROW]
[ROW][C]235[/C][C]0.819907[/C][C]0.360186[/C][C]0.180093[/C][/ROW]
[ROW][C]236[/C][C]0.822105[/C][C]0.355789[/C][C]0.177895[/C][/ROW]
[ROW][C]237[/C][C]0.823494[/C][C]0.353011[/C][C]0.176506[/C][/ROW]
[ROW][C]238[/C][C]0.835045[/C][C]0.32991[/C][C]0.164955[/C][/ROW]
[ROW][C]239[/C][C]0.816809[/C][C]0.366381[/C][C]0.183191[/C][/ROW]
[ROW][C]240[/C][C]0.789373[/C][C]0.421254[/C][C]0.210627[/C][/ROW]
[ROW][C]241[/C][C]0.802463[/C][C]0.395073[/C][C]0.197537[/C][/ROW]
[ROW][C]242[/C][C]0.803636[/C][C]0.392728[/C][C]0.196364[/C][/ROW]
[ROW][C]243[/C][C]0.923713[/C][C]0.152574[/C][C]0.0762868[/C][/ROW]
[ROW][C]244[/C][C]0.911693[/C][C]0.176615[/C][C]0.0883074[/C][/ROW]
[ROW][C]245[/C][C]0.925942[/C][C]0.148116[/C][C]0.074058[/C][/ROW]
[ROW][C]246[/C][C]0.90775[/C][C]0.1845[/C][C]0.0922498[/C][/ROW]
[ROW][C]247[/C][C]0.884616[/C][C]0.230768[/C][C]0.115384[/C][/ROW]
[ROW][C]248[/C][C]0.86898[/C][C]0.26204[/C][C]0.13102[/C][/ROW]
[ROW][C]249[/C][C]0.847302[/C][C]0.305395[/C][C]0.152698[/C][/ROW]
[ROW][C]250[/C][C]0.83797[/C][C]0.324061[/C][C]0.16203[/C][/ROW]
[ROW][C]251[/C][C]0.852216[/C][C]0.295568[/C][C]0.147784[/C][/ROW]
[ROW][C]252[/C][C]0.904775[/C][C]0.19045[/C][C]0.0952249[/C][/ROW]
[ROW][C]253[/C][C]0.880562[/C][C]0.238877[/C][C]0.119438[/C][/ROW]
[ROW][C]254[/C][C]0.855403[/C][C]0.289194[/C][C]0.144597[/C][/ROW]
[ROW][C]255[/C][C]0.819873[/C][C]0.360254[/C][C]0.180127[/C][/ROW]
[ROW][C]256[/C][C]0.781158[/C][C]0.437684[/C][C]0.218842[/C][/ROW]
[ROW][C]257[/C][C]0.733631[/C][C]0.532737[/C][C]0.266369[/C][/ROW]
[ROW][C]258[/C][C]0.688945[/C][C]0.62211[/C][C]0.311055[/C][/ROW]
[ROW][C]259[/C][C]0.678178[/C][C]0.643644[/C][C]0.321822[/C][/ROW]
[ROW][C]260[/C][C]0.661359[/C][C]0.677282[/C][C]0.338641[/C][/ROW]
[ROW][C]261[/C][C]0.599775[/C][C]0.80045[/C][C]0.400225[/C][/ROW]
[ROW][C]262[/C][C]0.563488[/C][C]0.873023[/C][C]0.436512[/C][/ROW]
[ROW][C]263[/C][C]0.654701[/C][C]0.690598[/C][C]0.345299[/C][/ROW]
[ROW][C]264[/C][C]0.599793[/C][C]0.800415[/C][C]0.400207[/C][/ROW]
[ROW][C]265[/C][C]0.597163[/C][C]0.805673[/C][C]0.402837[/C][/ROW]
[ROW][C]266[/C][C]0.942501[/C][C]0.114998[/C][C]0.0574989[/C][/ROW]
[ROW][C]267[/C][C]0.916504[/C][C]0.166992[/C][C]0.083496[/C][/ROW]
[ROW][C]268[/C][C]0.997882[/C][C]0.00423595[/C][C]0.00211798[/C][/ROW]
[ROW][C]269[/C][C]0.999081[/C][C]0.00183881[/C][C]0.000919403[/C][/ROW]
[ROW][C]270[/C][C]0.999132[/C][C]0.00173569[/C][C]0.000867843[/C][/ROW]
[ROW][C]271[/C][C]0.999927[/C][C]0.000146386[/C][C]7.3193e-05[/C][/ROW]
[ROW][C]272[/C][C]0.999791[/C][C]0.000417324[/C][C]0.000208662[/C][/ROW]
[ROW][C]273[/C][C]0.999544[/C][C]0.000912419[/C][C]0.000456209[/C][/ROW]
[ROW][C]274[/C][C]0.999063[/C][C]0.00187301[/C][C]0.000936506[/C][/ROW]
[ROW][C]275[/C][C]0.997535[/C][C]0.00492946[/C][C]0.00246473[/C][/ROW]
[ROW][C]276[/C][C]0.997108[/C][C]0.00578457[/C][C]0.00289228[/C][/ROW]
[ROW][C]277[/C][C]0.994558[/C][C]0.0108847[/C][C]0.00544235[/C][/ROW]
[ROW][C]278[/C][C]0.984577[/C][C]0.0308456[/C][C]0.0154228[/C][/ROW]
[ROW][C]279[/C][C]0.955552[/C][C]0.0888967[/C][C]0.0444484[/C][/ROW]
[ROW][C]280[/C][C]0.953173[/C][C]0.0936538[/C][C]0.0468269[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271050&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271050&T=5

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


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.8863080.2273840.113692
80.9011730.1976550.0988273
90.8328680.3342640.167132
100.7494470.5011070.250553
110.8233860.3532290.176614
120.7546750.490650.245325
130.807310.385380.19269
140.7394720.5210550.260528
150.6649640.6700730.335036
160.6596430.6807140.340357
170.638880.7222390.36112
180.5763830.8472340.423617
190.5096820.9806360.490318
200.4479810.8959610.552019
210.3799170.7598330.620083
220.4923290.9846590.507671
230.4236080.8472160.576392
240.363650.7273010.63635
250.3542850.7085690.645715
260.3035050.607010.696495
270.2645710.5291420.735429
280.2468320.4936650.753168
290.3210530.6421050.678947
300.2713490.5426980.728651
310.2431590.4863170.756841
320.2130150.426030.786985
330.1883020.3766040.811698
340.2177180.4354360.782282
350.1907360.3814720.809264
360.2348670.4697340.765133
370.1997240.3994490.800276
380.1676630.3353270.832337
390.1408950.2817910.859105
400.1268440.2536890.873156
410.1466910.2933820.853309
420.1301030.2602070.869897
430.1821870.3643730.817813
440.1562020.3124040.843798
450.1471580.2943170.852842
460.128960.2579190.87104
470.1405090.2810190.859491
480.121430.2428590.87857
490.1089320.2178650.891068
500.1273470.2546930.872653
510.1523720.3047450.847628
520.1417480.2834950.858252
530.1233880.2467760.876612
540.1310510.2621020.868949
550.1161120.2322230.883888
560.1073730.2147470.892627
570.1044570.2089130.895543
580.09150650.1830130.908494
590.1567950.313590.843205
600.1875110.3750230.812489
610.1640050.3280090.835995
620.1796750.3593510.820325
630.1795430.3590850.820457
640.1613280.3226550.838672
650.1620950.324190.837905
660.2080350.416070.791965
670.2044880.4089770.795512
680.1796670.3593340.820333
690.1787930.3575860.821207
700.1757270.3514540.824273
710.1705640.3411270.829436
720.1595910.3191820.840409
730.1449880.2899770.855012
740.1282220.2564450.871778
750.1144760.2289520.885524
760.1314130.2628260.868587
770.2141970.4283940.785803
780.2033670.4067330.796633
790.1931180.3862360.806882
800.1827260.3654510.817274
810.1802940.3605880.819706
820.1587310.3174620.841269
830.1812180.3624370.818782
840.1591380.3182750.840862
850.1755830.3511660.824417
860.1556810.3113620.844319
870.2710130.5420260.728987
880.2508990.5017970.749101
890.2296930.4593860.770307
900.204630.4092590.79537
910.1813640.3627280.818636
920.1708820.3417640.829118
930.1786950.3573910.821305
940.1889080.3778160.811092
950.2859040.5718090.714096
960.280060.5601190.71994
970.2786140.5572280.721386
980.3089720.6179430.691028
990.3022450.6044910.697755
1000.3893990.7787980.610601
1010.3680990.7361970.631901
1020.4011630.8023270.598837
1030.4497940.8995890.550206
1040.4224010.8448020.577599
1050.404690.8093790.59531
1060.403840.8076810.59616
1070.4111040.8222070.588896
1080.445610.8912190.55439
1090.4615050.9230110.538495
1100.47840.95680.5216
1110.665730.668540.33427
1120.7045520.5908960.295448
1130.6984770.6030460.301523
1140.6890730.6218550.310927
1150.6745350.650930.325465
1160.8104520.3790970.189548
1170.8061160.3877670.193884
1180.8723370.2553250.127663
1190.9037070.1925860.0962929
1200.897470.2050610.10253
1210.9038650.192270.096135
1220.9077420.1845160.0922581
1230.9271950.145610.0728049
1240.921440.1571210.0785604
1250.9287630.1424740.0712368
1260.9295770.1408460.0704232
1270.9505630.09887350.0494368
1280.9596670.08066620.0403331
1290.9548860.09022740.0451137
1300.9535460.09290780.0464539
1310.9581430.08371440.0418572
1320.9644970.07100550.0355027
1330.9624230.07515350.0375768
1340.9646060.07078840.0353942
1350.9621110.07577820.0378891
1360.9583020.08339690.0416984
1370.9520760.09584830.0479241
1380.943980.112040.0560199
1390.936780.1264410.0632204
1400.9524540.09509150.0475458
1410.9533520.09329650.0466483
1420.949430.1011410.0505704
1430.9412090.1175820.0587911
1440.9322290.1355420.0677709
1450.9618870.07622520.0381126
1460.9585880.08282430.0414121
1470.9573420.08531680.0426584
1480.9555380.08892420.0444621
1490.9511170.09776510.0488825
1500.9530220.09395520.0469776
1510.9464490.1071010.0535506
1520.9448350.1103310.0551655
1530.9368360.1263280.0631641
1540.933340.1333210.0666605
1550.9310450.1379110.0689553
1560.9741450.05170990.025855
1570.9715820.0568370.0284185
1580.9719510.05609750.0280487
1590.9682170.06356520.0317826
1600.9678460.06430740.0321537
1610.9613570.07728670.0386434
1620.9601220.07975620.0398781
1630.9539390.09212290.0460614
1640.9503130.09937390.0496869
1650.9421750.115650.057825
1660.9651770.06964550.0348228
1670.9582320.08353560.0417678
1680.9575060.08498850.0424943
1690.9881160.02376740.0118837
1700.9915950.01680930.00840464
1710.9894250.02115050.0105752
1720.9897220.02055540.0102777
1730.9925340.01493290.00746643
1740.9904910.01901710.00950857
1750.9903320.01933520.00966762
1760.9883770.02324650.0116233
1770.9925030.01499380.00749692
1780.9911750.01765060.00882532
1790.9903360.01932840.00966418
1800.9895740.02085290.0104265
1810.9919430.01611440.0080572
1820.9904560.01908750.00954376
1830.9896560.02068790.010344
1840.9881120.02377680.0118884
1850.9919140.01617220.00808611
1860.9898620.02027670.0101383
1870.9875540.02489160.0124458
1880.9855740.02885160.0144258
1890.9827110.03457790.017289
1900.9812850.03742920.0187146
1910.9791590.04168250.0208413
1920.9868280.02634420.0131721
1930.9838630.03227440.0161372
1940.9815990.03680280.0184014
1950.9771210.04575770.0228789
1960.972610.05477970.0273898
1970.9701790.05964210.029821
1980.9663370.06732530.0336626
1990.9779840.0440330.0220165
2000.9741240.05175270.0258764
2010.9693390.0613220.030661
2020.9705650.05887010.029435
2030.9636070.07278660.0363933
2040.9678840.0642320.032116
2050.9689290.06214290.0310714
2060.9657990.06840260.0342013
2070.9626520.07469570.0373479
2080.9581520.08369650.0418483
2090.9487450.1025110.0512555
2100.9406590.1186810.0593406
2110.9515170.09696510.0484825
2120.9489480.1021030.0510517
2130.9452940.1094120.0547059
2140.93340.1332010.0666005
2150.9316890.1366230.0683113
2160.9291680.1416650.0708324
2170.9211420.1577170.0788584
2180.9098450.1803090.0901546
2190.9206130.1587750.0793875
2200.9085040.1829920.0914959
2210.9022220.1955570.0977784
2220.8894730.2210550.110527
2230.8891920.2216150.110808
2240.8796840.2406310.120316
2250.8664520.2670960.133548
2260.842390.315220.15761
2270.8148430.3703130.185157
2280.787380.425240.21262
2290.8173320.3653360.182668
2300.7908070.4183860.209193
2310.7881960.4236070.211804
2320.766360.467280.23364
2330.8171230.3657550.182877
2340.8141690.3716620.185831
2350.8199070.3601860.180093
2360.8221050.3557890.177895
2370.8234940.3530110.176506
2380.8350450.329910.164955
2390.8168090.3663810.183191
2400.7893730.4212540.210627
2410.8024630.3950730.197537
2420.8036360.3927280.196364
2430.9237130.1525740.0762868
2440.9116930.1766150.0883074
2450.9259420.1481160.074058
2460.907750.18450.0922498
2470.8846160.2307680.115384
2480.868980.262040.13102
2490.8473020.3053950.152698
2500.837970.3240610.16203
2510.8522160.2955680.147784
2520.9047750.190450.0952249
2530.8805620.2388770.119438
2540.8554030.2891940.144597
2550.8198730.3602540.180127
2560.7811580.4376840.218842
2570.7336310.5327370.266369
2580.6889450.622110.311055
2590.6781780.6436440.321822
2600.6613590.6772820.338641
2610.5997750.800450.400225
2620.5634880.8730230.436512
2630.6547010.6905980.345299
2640.5997930.8004150.400207
2650.5971630.8056730.402837
2660.9425010.1149980.0574989
2670.9165040.1669920.083496
2680.9978820.004235950.00211798
2690.9990810.001838810.000919403
2700.9991320.001735690.000867843
2710.9999270.0001463867.3193e-05
2720.9997910.0004173240.000208662
2730.9995440.0009124190.000456209
2740.9990630.001873010.000936506
2750.9975350.004929460.00246473
2760.9971080.005784570.00289228
2770.9945580.01088470.00544235
2780.9845770.03084560.0154228
2790.9555520.08889670.0444484
2800.9531730.09365380.0468269






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level90.0328467NOK
5% type I error level390.142336NOK
10% type I error level850.310219NOK

\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 & 9 & 0.0328467 & NOK \tabularnewline
5% type I error level & 39 & 0.142336 & NOK \tabularnewline
10% type I error level & 85 & 0.310219 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271050&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]9[/C][C]0.0328467[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]39[/C][C]0.142336[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]85[/C][C]0.310219[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271050&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271050&T=6

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level90.0328467NOK
5% type I error level390.142336NOK
10% type I error level850.310219NOK


Figures (Output of Computation)

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Figure 10
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Input Parameters & R Code

Parameters (Session):
par1 = 0.95 ; par2 = 47.03 ;
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')
}