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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 computationMon, 15 Dec 2014 16:34:59 +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/15/t1418661365a9csai8at0zk18m.htm/, Retrieved Thu, 16 May 2024 16:37:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=268730, Retrieved Thu, 16 May 2024 16:37:46 +0000
QR Codes:

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

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [] [2014-12-15 16:34:59] [023a69c6c348bca0f1811b046758af62] [Current]
- RMPD    [Central Tendency] [] [2014-12-15 22:48:13] [bcf5edf18529a33bd1494456d2c6cb9a]
- RMPD    [Bootstrap Plot - Central Tendency] [] [2014-12-15 23:03:26] [bcf5edf18529a33bd1494456d2c6cb9a]
- RMPD    [Skewness and Kurtosis Test] [] [2014-12-15 23:12:13] [bcf5edf18529a33bd1494456d2c6cb9a]
-   PD    [Multiple Regression] [] [2014-12-15 23:55:51] [bcf5edf18529a33bd1494456d2c6cb9a]
- RMPD    [Central Tendency] [] [2014-12-16 00:13:26] [bcf5edf18529a33bd1494456d2c6cb9a]
- RMPD    [Skewness and Kurtosis Test] [] [2014-12-16 00:18:26] [bcf5edf18529a33bd1494456d2c6cb9a]
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Dataset

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

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=268730&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=268730&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268730&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
EX[t] = + 8.30591 + 0.00995357LFM[t] + 0.0292728B[t] + 0.00597869PRH[t] -0.0146609CH[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
EX[t] =  +  8.30591 +  0.00995357LFM[t] +  0.0292728B[t] +  0.00597869PRH[t] -0.0146609CH[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268730&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]EX[t] =  +  8.30591 +  0.00995357LFM[t] +  0.0292728B[t] +  0.00597869PRH[t] -0.0146609CH[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268730&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268730&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
EX[t] = + 8.30591 + 0.00995357LFM[t] + 0.0292728B[t] + 0.00597869PRH[t] -0.0146609CH[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)8.305910.5479815.162.45123e-381.22561e-38
LFM0.009953570.004792112.0770.0387030.0193515
B0.02927280.0029068910.071.4439e-207.21949e-21
PRH0.005978690.009401990.63590.5253610.262681
CH-0.01466090.0113424-1.2930.197220.0986101

\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) & 8.30591 & 0.54798 & 15.16 & 2.45123e-38 & 1.22561e-38 \tabularnewline
LFM & 0.00995357 & 0.00479211 & 2.077 & 0.038703 & 0.0193515 \tabularnewline
B & 0.0292728 & 0.00290689 & 10.07 & 1.4439e-20 & 7.21949e-21 \tabularnewline
PRH & 0.00597869 & 0.00940199 & 0.6359 & 0.525361 & 0.262681 \tabularnewline
CH & -0.0146609 & 0.0113424 & -1.293 & 0.19722 & 0.0986101 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268730&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]8.30591[/C][C]0.54798[/C][C]15.16[/C][C]2.45123e-38[/C][C]1.22561e-38[/C][/ROW]
[ROW][C]LFM[/C][C]0.00995357[/C][C]0.00479211[/C][C]2.077[/C][C]0.038703[/C][C]0.0193515[/C][/ROW]
[ROW][C]B[/C][C]0.0292728[/C][C]0.00290689[/C][C]10.07[/C][C]1.4439e-20[/C][C]7.21949e-21[/C][/ROW]
[ROW][C]PRH[/C][C]0.00597869[/C][C]0.00940199[/C][C]0.6359[/C][C]0.525361[/C][C]0.262681[/C][/ROW]
[ROW][C]CH[/C][C]-0.0146609[/C][C]0.0113424[/C][C]-1.293[/C][C]0.19722[/C][C]0.0986101[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268730&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268730&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)8.305910.5479815.162.45123e-381.22561e-38
LFM0.009953570.004792112.0770.0387030.0193515
B0.02927280.0029068910.071.4439e-207.21949e-21
PRH0.005978690.009401990.63590.5253610.262681
CH-0.01466090.0113424-1.2930.197220.0986101






Multiple Linear Regression - Regression Statistics
Multiple R0.602408
R-squared0.362896
Adjusted R-squared0.353826
F-TEST (value)40.0145
F-TEST (DF numerator)4
F-TEST (DF denominator)281
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.75018
Sum Squared Residuals2125.34

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.602408 \tabularnewline
R-squared & 0.362896 \tabularnewline
Adjusted R-squared & 0.353826 \tabularnewline
F-TEST (value) & 40.0145 \tabularnewline
F-TEST (DF numerator) & 4 \tabularnewline
F-TEST (DF denominator) & 281 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.75018 \tabularnewline
Sum Squared Residuals & 2125.34 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268730&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.602408[/C][/ROW]
[ROW][C]R-squared[/C][C]0.362896[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.353826[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]40.0145[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]4[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]281[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]2.75018[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]2125.34[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268730&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268730&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 R0.602408
R-squared0.362896
Adjusted R-squared0.353826
F-TEST (value)40.0145
F-TEST (DF numerator)4
F-TEST (DF denominator)281
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.75018
Sum Squared Residuals2125.34






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
112.911.70991.19014
27.411.2498-3.84982
312.211.35210.847881
412.812.11910.680933
57.412.5817-5.18172
66.711.3013-4.60132
712.615.3257-2.72573
814.812.52592.27409
913.312.0751.22495
1011.112.4547-1.35467
118.214.2134-6.01337
1211.412.8315-1.43149
136.414.4785-8.0785
1410.611.5318-0.931756
151213.4542-1.45418
166.39.71495-3.41495
1711.311.25450.0455309
1811.913.733-1.83304
199.312.0817-2.78172
209.612.2029-2.60291
211011.447-1.44698
226.411.7148-5.31476
2313.813.03870.761316
2410.813.202-2.40202
2513.812.02261.77741
2611.712.5569-0.856857
2710.914.8765-3.97654
2816.113.26822.83178
2913.411.00342.39662
309.910.9562-1.05621
3111.512.0816-0.581613
328.311.7783-3.4783
3311.713.3129-1.61295
346.111.4826-5.38263
35912.2865-3.2865
369.714.4237-4.72369
3710.812.5051-1.7051
3810.312.8634-2.56339
3910.411.5868-1.18679
4012.712.771-0.0710296
419.312.1525-2.8525
4211.814.2665-2.46651
435.910.5347-4.63475
4411.413.9617-2.56168
451311.59721.40282
4610.812.4557-1.65574
4712.310.34711.95287
4811.313.3876-2.08758
4911.812.3937-0.593689
507.911.0583-3.15832
5112.79.830762.86924
5212.310.86651.43352
5311.611.9489-0.348852
546.711.0291-4.3291
5510.913.1412-2.24118
5612.112.6141-0.514112
5713.313.5097-0.209718
5810.113.3587-3.25873
595.711.6667-5.96673
6014.312.11522.18483
6189.4913-1.4913
6213.311.64321.65679
639.312.5255-3.22552
6412.511.6540.846044
657.610.6567-3.05668
6615.913.70422.19576
679.211.2758-2.07576
689.110.5201-1.4201
6911.114.0484-2.94841
701313.2821-0.282069
7114.512.91891.58111
7212.210.96321.23677
7312.313.4426-1.14262
7411.411.26960.130444
758.811.1622-2.36218
7614.610.97453.62547
777.312.2632-4.96321
7812.612.8946-0.294649
79NANA-0.584309
801311.63211.36793
8112.614.0123-1.41234
8213.214.5183-1.3183
839.913.5326-3.63261
847.77.73831-0.0383094
8510.57.607462.89254
8613.414.2444-0.844448
8710.916.5719-5.67191
884.34.90252-0.602516
8910.39.924820.375179
9011.811.18260.617402
9111.210.66910.530914
9211.412.8463-1.44632
938.66.29612.3039
9413.210.84642.35356
9512.618.0166-5.4166
965.66.76186-1.16186
979.913.0026-3.10261
988.812.793-3.99298
997.78.99273-1.29273
100913.8996-4.89959
1017.36.875920.424083
10211.49.183812.21619
10313.616.3036-2.70361
1047.98.06249-0.162489
10510.712.0094-1.30943
10610.312.1969-1.89695
1078.39.51804-1.21804
1089.67.02872.5713
10914.215.9999-1.79995
1108.55.586332.91367
11113.519.2065-5.70649
1124.98.62952-3.72952
1136.47.03681-0.636812
1149.68.720990.879009
11511.610.7680.831957
11611.116.6954-5.59545
1174.354.163340.186664
11812.79.381443.31856
11918.115.3582.742
12017.8516.97740.872571
12116.613.94442.6556
12212.617.9016-5.30161
12317.113.53583.56423
12419.121.2045-2.10451
12516.113.37842.72164
12613.3512.63380.716227
12718.414.71083.68922
12814.718.9525-4.25252
12910.611.7536-1.15361
13012.611.50581.09418
13116.220.4783-4.27833
13213.610.54323.05685
13318.917.181.71996
13414.111.4172.68297
13514.516.5033-2.00327
13616.1514.9051.24501
13714.7514.14260.607389
13814.814.62690.173063
13912.4514.5604-2.11041
14012.659.067933.58207
14117.3520.7787-3.42874
1428.67.819490.780507
14318.420.4331-2.03307
14416.115.54780.552247
14511.65.883955.71605
14617.7516.05911.69094
14715.2513.86831.38174
14817.6515.8071.84303
14915.614.2441.35601
15016.3513.42372.92628
15117.6516.97930.670659
15213.614.0431-0.443067
15311.710.75980.940152
15414.3517.3784-3.02837
15514.7512.92081.82916
15618.2523.5156-5.26559
1579.97.775352.12465
1581613.46392.53606
15918.2518.7934-0.543418
16016.8514.76142.08862
16114.614.37260.227444
16213.8511.06572.78434
16318.9517.94141.0086
16415.618.0563-2.45627
16514.8515.4949-0.644869
16611.755.884695.86531
16718.4520.0582-1.60823
16815.912.71473.18527
16917.111.77495.32511
17016.110.7855.315
17119.919.39590.504051
17210.958.210872.73913
17318.4513.83584.61424
17415.115.649-0.548991
1751517.6119-2.61186
17611.3510.44730.902738
17715.9511.01274.93735
17818.116.16691.93309
17914.615.3472-0.747196
18015.416.1472-0.747196
18115.411.19834.2017
18217.617.9601-0.360073
18313.3510.94252.40747
18419.116.58792.51207
18515.3520.013-4.66302
1867.67.93339-0.333387
18713.412.94430.455726
18813.911.97241.92756
18919.117.52131.57871
19015.2514.21591.0341
19112.910.50362.3964
19216.110.97355.12646
19317.3516.39440.955596
19413.1510.83252.31746
19512.1512.05260.0973935
19612.613.6757-1.07571
19710.357.385092.96491
19815.416.5538-1.15377
1999.64.551795.04821
20018.216.60991.59005
20113.613.37360.226384
20214.8517.0977-2.2477
20314.7514.48360.266434
20414.110.48613.61393
20514.911.27413.62592
20616.2514.56911.68086
20719.2517.53131.71865
20813.613.17710.422887
20913.613.13290.467121
21015.6515.07610.573933
21112.759.245543.50446
21214.618.0566-3.45657
2139.858.184981.66502
21412.6512.8688-0.218839
21511.99.024592.87541
21619.216.74752.45252
21716.615.11691.48311
21811.28.965332.23467
21915.2518.4825-3.2325
22011.914.6493-2.74934
22113.214.0296-0.829607
22216.3517.3123-0.962329
22312.49.380023.01998
22415.8515.08150.768528
22514.3511.17323.17676
22618.1518.2898-0.139798
22711.1511.05170.0982817
22815.6514.29151.35847
22917.7522.5206-4.77064
2307.657.171780.478217
23112.358.181674.16833
23215.612.58433.01572
23319.315.85793.44214
23415.211.48473.71533
23517.114.15212.94791
23615.611.9823.61805
23718.414.46813.93191
23819.0513.7455.30498
23918.5516.20852.34153
24019.117.68711.41291
24113.113.4026-0.302584
24212.8514.7817-1.93173
2439.516.166-6.66604
2444.53.121071.37893
24511.8514.1967-2.34672
24613.615.2053-1.60526
24711.710.64511.05489
24812.413.8363-1.43631
24913.3515.7697-2.41972
25011.48.065373.33463
25114.99.5855.315
25219.914.00985.89022
25317.7518.3256-0.575618
25411.212.0527-0.852672
25514.612.79371.80625
25617.615.97931.62074
25714.0513.0970.95301
25816.115.9230.177011
25913.3513.917-0.567039
26011.8514.156-2.30596
26111.9511.77910.170914
26214.7512.52392.22606
26315.1515.5396-0.389632
26413.211.74061.45939
26516.8519.0405-2.19051
2667.8514.8873-7.03734
2677.76.371991.32801
26812.616.075-3.47498
2697.857.345950.504051
27010.9510.44130.508727
27112.3514.9932-2.64323
2729.956.615373.33463
27314.912.84242.05762
27416.6516.13780.512222
27513.412.85530.544716
27613.959.692724.25728
27715.710.99784.70219
27816.8516.11820.731762
27910.957.243863.70614
28015.3514.22941.12055
28112.211.05231.14767
28215.113.75861.34143
28317.7515.13752.61247
28415.213.92681.27324
28514.612.61491.98508
28616.6519.2909-2.6409
2878.1NANA

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 12.9 & 11.7099 & 1.19014 \tabularnewline
2 & 7.4 & 11.2498 & -3.84982 \tabularnewline
3 & 12.2 & 11.3521 & 0.847881 \tabularnewline
4 & 12.8 & 12.1191 & 0.680933 \tabularnewline
5 & 7.4 & 12.5817 & -5.18172 \tabularnewline
6 & 6.7 & 11.3013 & -4.60132 \tabularnewline
7 & 12.6 & 15.3257 & -2.72573 \tabularnewline
8 & 14.8 & 12.5259 & 2.27409 \tabularnewline
9 & 13.3 & 12.075 & 1.22495 \tabularnewline
10 & 11.1 & 12.4547 & -1.35467 \tabularnewline
11 & 8.2 & 14.2134 & -6.01337 \tabularnewline
12 & 11.4 & 12.8315 & -1.43149 \tabularnewline
13 & 6.4 & 14.4785 & -8.0785 \tabularnewline
14 & 10.6 & 11.5318 & -0.931756 \tabularnewline
15 & 12 & 13.4542 & -1.45418 \tabularnewline
16 & 6.3 & 9.71495 & -3.41495 \tabularnewline
17 & 11.3 & 11.2545 & 0.0455309 \tabularnewline
18 & 11.9 & 13.733 & -1.83304 \tabularnewline
19 & 9.3 & 12.0817 & -2.78172 \tabularnewline
20 & 9.6 & 12.2029 & -2.60291 \tabularnewline
21 & 10 & 11.447 & -1.44698 \tabularnewline
22 & 6.4 & 11.7148 & -5.31476 \tabularnewline
23 & 13.8 & 13.0387 & 0.761316 \tabularnewline
24 & 10.8 & 13.202 & -2.40202 \tabularnewline
25 & 13.8 & 12.0226 & 1.77741 \tabularnewline
26 & 11.7 & 12.5569 & -0.856857 \tabularnewline
27 & 10.9 & 14.8765 & -3.97654 \tabularnewline
28 & 16.1 & 13.2682 & 2.83178 \tabularnewline
29 & 13.4 & 11.0034 & 2.39662 \tabularnewline
30 & 9.9 & 10.9562 & -1.05621 \tabularnewline
31 & 11.5 & 12.0816 & -0.581613 \tabularnewline
32 & 8.3 & 11.7783 & -3.4783 \tabularnewline
33 & 11.7 & 13.3129 & -1.61295 \tabularnewline
34 & 6.1 & 11.4826 & -5.38263 \tabularnewline
35 & 9 & 12.2865 & -3.2865 \tabularnewline
36 & 9.7 & 14.4237 & -4.72369 \tabularnewline
37 & 10.8 & 12.5051 & -1.7051 \tabularnewline
38 & 10.3 & 12.8634 & -2.56339 \tabularnewline
39 & 10.4 & 11.5868 & -1.18679 \tabularnewline
40 & 12.7 & 12.771 & -0.0710296 \tabularnewline
41 & 9.3 & 12.1525 & -2.8525 \tabularnewline
42 & 11.8 & 14.2665 & -2.46651 \tabularnewline
43 & 5.9 & 10.5347 & -4.63475 \tabularnewline
44 & 11.4 & 13.9617 & -2.56168 \tabularnewline
45 & 13 & 11.5972 & 1.40282 \tabularnewline
46 & 10.8 & 12.4557 & -1.65574 \tabularnewline
47 & 12.3 & 10.3471 & 1.95287 \tabularnewline
48 & 11.3 & 13.3876 & -2.08758 \tabularnewline
49 & 11.8 & 12.3937 & -0.593689 \tabularnewline
50 & 7.9 & 11.0583 & -3.15832 \tabularnewline
51 & 12.7 & 9.83076 & 2.86924 \tabularnewline
52 & 12.3 & 10.8665 & 1.43352 \tabularnewline
53 & 11.6 & 11.9489 & -0.348852 \tabularnewline
54 & 6.7 & 11.0291 & -4.3291 \tabularnewline
55 & 10.9 & 13.1412 & -2.24118 \tabularnewline
56 & 12.1 & 12.6141 & -0.514112 \tabularnewline
57 & 13.3 & 13.5097 & -0.209718 \tabularnewline
58 & 10.1 & 13.3587 & -3.25873 \tabularnewline
59 & 5.7 & 11.6667 & -5.96673 \tabularnewline
60 & 14.3 & 12.1152 & 2.18483 \tabularnewline
61 & 8 & 9.4913 & -1.4913 \tabularnewline
62 & 13.3 & 11.6432 & 1.65679 \tabularnewline
63 & 9.3 & 12.5255 & -3.22552 \tabularnewline
64 & 12.5 & 11.654 & 0.846044 \tabularnewline
65 & 7.6 & 10.6567 & -3.05668 \tabularnewline
66 & 15.9 & 13.7042 & 2.19576 \tabularnewline
67 & 9.2 & 11.2758 & -2.07576 \tabularnewline
68 & 9.1 & 10.5201 & -1.4201 \tabularnewline
69 & 11.1 & 14.0484 & -2.94841 \tabularnewline
70 & 13 & 13.2821 & -0.282069 \tabularnewline
71 & 14.5 & 12.9189 & 1.58111 \tabularnewline
72 & 12.2 & 10.9632 & 1.23677 \tabularnewline
73 & 12.3 & 13.4426 & -1.14262 \tabularnewline
74 & 11.4 & 11.2696 & 0.130444 \tabularnewline
75 & 8.8 & 11.1622 & -2.36218 \tabularnewline
76 & 14.6 & 10.9745 & 3.62547 \tabularnewline
77 & 7.3 & 12.2632 & -4.96321 \tabularnewline
78 & 12.6 & 12.8946 & -0.294649 \tabularnewline
79 & NA & NA & -0.584309 \tabularnewline
80 & 13 & 11.6321 & 1.36793 \tabularnewline
81 & 12.6 & 14.0123 & -1.41234 \tabularnewline
82 & 13.2 & 14.5183 & -1.3183 \tabularnewline
83 & 9.9 & 13.5326 & -3.63261 \tabularnewline
84 & 7.7 & 7.73831 & -0.0383094 \tabularnewline
85 & 10.5 & 7.60746 & 2.89254 \tabularnewline
86 & 13.4 & 14.2444 & -0.844448 \tabularnewline
87 & 10.9 & 16.5719 & -5.67191 \tabularnewline
88 & 4.3 & 4.90252 & -0.602516 \tabularnewline
89 & 10.3 & 9.92482 & 0.375179 \tabularnewline
90 & 11.8 & 11.1826 & 0.617402 \tabularnewline
91 & 11.2 & 10.6691 & 0.530914 \tabularnewline
92 & 11.4 & 12.8463 & -1.44632 \tabularnewline
93 & 8.6 & 6.2961 & 2.3039 \tabularnewline
94 & 13.2 & 10.8464 & 2.35356 \tabularnewline
95 & 12.6 & 18.0166 & -5.4166 \tabularnewline
96 & 5.6 & 6.76186 & -1.16186 \tabularnewline
97 & 9.9 & 13.0026 & -3.10261 \tabularnewline
98 & 8.8 & 12.793 & -3.99298 \tabularnewline
99 & 7.7 & 8.99273 & -1.29273 \tabularnewline
100 & 9 & 13.8996 & -4.89959 \tabularnewline
101 & 7.3 & 6.87592 & 0.424083 \tabularnewline
102 & 11.4 & 9.18381 & 2.21619 \tabularnewline
103 & 13.6 & 16.3036 & -2.70361 \tabularnewline
104 & 7.9 & 8.06249 & -0.162489 \tabularnewline
105 & 10.7 & 12.0094 & -1.30943 \tabularnewline
106 & 10.3 & 12.1969 & -1.89695 \tabularnewline
107 & 8.3 & 9.51804 & -1.21804 \tabularnewline
108 & 9.6 & 7.0287 & 2.5713 \tabularnewline
109 & 14.2 & 15.9999 & -1.79995 \tabularnewline
110 & 8.5 & 5.58633 & 2.91367 \tabularnewline
111 & 13.5 & 19.2065 & -5.70649 \tabularnewline
112 & 4.9 & 8.62952 & -3.72952 \tabularnewline
113 & 6.4 & 7.03681 & -0.636812 \tabularnewline
114 & 9.6 & 8.72099 & 0.879009 \tabularnewline
115 & 11.6 & 10.768 & 0.831957 \tabularnewline
116 & 11.1 & 16.6954 & -5.59545 \tabularnewline
117 & 4.35 & 4.16334 & 0.186664 \tabularnewline
118 & 12.7 & 9.38144 & 3.31856 \tabularnewline
119 & 18.1 & 15.358 & 2.742 \tabularnewline
120 & 17.85 & 16.9774 & 0.872571 \tabularnewline
121 & 16.6 & 13.9444 & 2.6556 \tabularnewline
122 & 12.6 & 17.9016 & -5.30161 \tabularnewline
123 & 17.1 & 13.5358 & 3.56423 \tabularnewline
124 & 19.1 & 21.2045 & -2.10451 \tabularnewline
125 & 16.1 & 13.3784 & 2.72164 \tabularnewline
126 & 13.35 & 12.6338 & 0.716227 \tabularnewline
127 & 18.4 & 14.7108 & 3.68922 \tabularnewline
128 & 14.7 & 18.9525 & -4.25252 \tabularnewline
129 & 10.6 & 11.7536 & -1.15361 \tabularnewline
130 & 12.6 & 11.5058 & 1.09418 \tabularnewline
131 & 16.2 & 20.4783 & -4.27833 \tabularnewline
132 & 13.6 & 10.5432 & 3.05685 \tabularnewline
133 & 18.9 & 17.18 & 1.71996 \tabularnewline
134 & 14.1 & 11.417 & 2.68297 \tabularnewline
135 & 14.5 & 16.5033 & -2.00327 \tabularnewline
136 & 16.15 & 14.905 & 1.24501 \tabularnewline
137 & 14.75 & 14.1426 & 0.607389 \tabularnewline
138 & 14.8 & 14.6269 & 0.173063 \tabularnewline
139 & 12.45 & 14.5604 & -2.11041 \tabularnewline
140 & 12.65 & 9.06793 & 3.58207 \tabularnewline
141 & 17.35 & 20.7787 & -3.42874 \tabularnewline
142 & 8.6 & 7.81949 & 0.780507 \tabularnewline
143 & 18.4 & 20.4331 & -2.03307 \tabularnewline
144 & 16.1 & 15.5478 & 0.552247 \tabularnewline
145 & 11.6 & 5.88395 & 5.71605 \tabularnewline
146 & 17.75 & 16.0591 & 1.69094 \tabularnewline
147 & 15.25 & 13.8683 & 1.38174 \tabularnewline
148 & 17.65 & 15.807 & 1.84303 \tabularnewline
149 & 15.6 & 14.244 & 1.35601 \tabularnewline
150 & 16.35 & 13.4237 & 2.92628 \tabularnewline
151 & 17.65 & 16.9793 & 0.670659 \tabularnewline
152 & 13.6 & 14.0431 & -0.443067 \tabularnewline
153 & 11.7 & 10.7598 & 0.940152 \tabularnewline
154 & 14.35 & 17.3784 & -3.02837 \tabularnewline
155 & 14.75 & 12.9208 & 1.82916 \tabularnewline
156 & 18.25 & 23.5156 & -5.26559 \tabularnewline
157 & 9.9 & 7.77535 & 2.12465 \tabularnewline
158 & 16 & 13.4639 & 2.53606 \tabularnewline
159 & 18.25 & 18.7934 & -0.543418 \tabularnewline
160 & 16.85 & 14.7614 & 2.08862 \tabularnewline
161 & 14.6 & 14.3726 & 0.227444 \tabularnewline
162 & 13.85 & 11.0657 & 2.78434 \tabularnewline
163 & 18.95 & 17.9414 & 1.0086 \tabularnewline
164 & 15.6 & 18.0563 & -2.45627 \tabularnewline
165 & 14.85 & 15.4949 & -0.644869 \tabularnewline
166 & 11.75 & 5.88469 & 5.86531 \tabularnewline
167 & 18.45 & 20.0582 & -1.60823 \tabularnewline
168 & 15.9 & 12.7147 & 3.18527 \tabularnewline
169 & 17.1 & 11.7749 & 5.32511 \tabularnewline
170 & 16.1 & 10.785 & 5.315 \tabularnewline
171 & 19.9 & 19.3959 & 0.504051 \tabularnewline
172 & 10.95 & 8.21087 & 2.73913 \tabularnewline
173 & 18.45 & 13.8358 & 4.61424 \tabularnewline
174 & 15.1 & 15.649 & -0.548991 \tabularnewline
175 & 15 & 17.6119 & -2.61186 \tabularnewline
176 & 11.35 & 10.4473 & 0.902738 \tabularnewline
177 & 15.95 & 11.0127 & 4.93735 \tabularnewline
178 & 18.1 & 16.1669 & 1.93309 \tabularnewline
179 & 14.6 & 15.3472 & -0.747196 \tabularnewline
180 & 15.4 & 16.1472 & -0.747196 \tabularnewline
181 & 15.4 & 11.1983 & 4.2017 \tabularnewline
182 & 17.6 & 17.9601 & -0.360073 \tabularnewline
183 & 13.35 & 10.9425 & 2.40747 \tabularnewline
184 & 19.1 & 16.5879 & 2.51207 \tabularnewline
185 & 15.35 & 20.013 & -4.66302 \tabularnewline
186 & 7.6 & 7.93339 & -0.333387 \tabularnewline
187 & 13.4 & 12.9443 & 0.455726 \tabularnewline
188 & 13.9 & 11.9724 & 1.92756 \tabularnewline
189 & 19.1 & 17.5213 & 1.57871 \tabularnewline
190 & 15.25 & 14.2159 & 1.0341 \tabularnewline
191 & 12.9 & 10.5036 & 2.3964 \tabularnewline
192 & 16.1 & 10.9735 & 5.12646 \tabularnewline
193 & 17.35 & 16.3944 & 0.955596 \tabularnewline
194 & 13.15 & 10.8325 & 2.31746 \tabularnewline
195 & 12.15 & 12.0526 & 0.0973935 \tabularnewline
196 & 12.6 & 13.6757 & -1.07571 \tabularnewline
197 & 10.35 & 7.38509 & 2.96491 \tabularnewline
198 & 15.4 & 16.5538 & -1.15377 \tabularnewline
199 & 9.6 & 4.55179 & 5.04821 \tabularnewline
200 & 18.2 & 16.6099 & 1.59005 \tabularnewline
201 & 13.6 & 13.3736 & 0.226384 \tabularnewline
202 & 14.85 & 17.0977 & -2.2477 \tabularnewline
203 & 14.75 & 14.4836 & 0.266434 \tabularnewline
204 & 14.1 & 10.4861 & 3.61393 \tabularnewline
205 & 14.9 & 11.2741 & 3.62592 \tabularnewline
206 & 16.25 & 14.5691 & 1.68086 \tabularnewline
207 & 19.25 & 17.5313 & 1.71865 \tabularnewline
208 & 13.6 & 13.1771 & 0.422887 \tabularnewline
209 & 13.6 & 13.1329 & 0.467121 \tabularnewline
210 & 15.65 & 15.0761 & 0.573933 \tabularnewline
211 & 12.75 & 9.24554 & 3.50446 \tabularnewline
212 & 14.6 & 18.0566 & -3.45657 \tabularnewline
213 & 9.85 & 8.18498 & 1.66502 \tabularnewline
214 & 12.65 & 12.8688 & -0.218839 \tabularnewline
215 & 11.9 & 9.02459 & 2.87541 \tabularnewline
216 & 19.2 & 16.7475 & 2.45252 \tabularnewline
217 & 16.6 & 15.1169 & 1.48311 \tabularnewline
218 & 11.2 & 8.96533 & 2.23467 \tabularnewline
219 & 15.25 & 18.4825 & -3.2325 \tabularnewline
220 & 11.9 & 14.6493 & -2.74934 \tabularnewline
221 & 13.2 & 14.0296 & -0.829607 \tabularnewline
222 & 16.35 & 17.3123 & -0.962329 \tabularnewline
223 & 12.4 & 9.38002 & 3.01998 \tabularnewline
224 & 15.85 & 15.0815 & 0.768528 \tabularnewline
225 & 14.35 & 11.1732 & 3.17676 \tabularnewline
226 & 18.15 & 18.2898 & -0.139798 \tabularnewline
227 & 11.15 & 11.0517 & 0.0982817 \tabularnewline
228 & 15.65 & 14.2915 & 1.35847 \tabularnewline
229 & 17.75 & 22.5206 & -4.77064 \tabularnewline
230 & 7.65 & 7.17178 & 0.478217 \tabularnewline
231 & 12.35 & 8.18167 & 4.16833 \tabularnewline
232 & 15.6 & 12.5843 & 3.01572 \tabularnewline
233 & 19.3 & 15.8579 & 3.44214 \tabularnewline
234 & 15.2 & 11.4847 & 3.71533 \tabularnewline
235 & 17.1 & 14.1521 & 2.94791 \tabularnewline
236 & 15.6 & 11.982 & 3.61805 \tabularnewline
237 & 18.4 & 14.4681 & 3.93191 \tabularnewline
238 & 19.05 & 13.745 & 5.30498 \tabularnewline
239 & 18.55 & 16.2085 & 2.34153 \tabularnewline
240 & 19.1 & 17.6871 & 1.41291 \tabularnewline
241 & 13.1 & 13.4026 & -0.302584 \tabularnewline
242 & 12.85 & 14.7817 & -1.93173 \tabularnewline
243 & 9.5 & 16.166 & -6.66604 \tabularnewline
244 & 4.5 & 3.12107 & 1.37893 \tabularnewline
245 & 11.85 & 14.1967 & -2.34672 \tabularnewline
246 & 13.6 & 15.2053 & -1.60526 \tabularnewline
247 & 11.7 & 10.6451 & 1.05489 \tabularnewline
248 & 12.4 & 13.8363 & -1.43631 \tabularnewline
249 & 13.35 & 15.7697 & -2.41972 \tabularnewline
250 & 11.4 & 8.06537 & 3.33463 \tabularnewline
251 & 14.9 & 9.585 & 5.315 \tabularnewline
252 & 19.9 & 14.0098 & 5.89022 \tabularnewline
253 & 17.75 & 18.3256 & -0.575618 \tabularnewline
254 & 11.2 & 12.0527 & -0.852672 \tabularnewline
255 & 14.6 & 12.7937 & 1.80625 \tabularnewline
256 & 17.6 & 15.9793 & 1.62074 \tabularnewline
257 & 14.05 & 13.097 & 0.95301 \tabularnewline
258 & 16.1 & 15.923 & 0.177011 \tabularnewline
259 & 13.35 & 13.917 & -0.567039 \tabularnewline
260 & 11.85 & 14.156 & -2.30596 \tabularnewline
261 & 11.95 & 11.7791 & 0.170914 \tabularnewline
262 & 14.75 & 12.5239 & 2.22606 \tabularnewline
263 & 15.15 & 15.5396 & -0.389632 \tabularnewline
264 & 13.2 & 11.7406 & 1.45939 \tabularnewline
265 & 16.85 & 19.0405 & -2.19051 \tabularnewline
266 & 7.85 & 14.8873 & -7.03734 \tabularnewline
267 & 7.7 & 6.37199 & 1.32801 \tabularnewline
268 & 12.6 & 16.075 & -3.47498 \tabularnewline
269 & 7.85 & 7.34595 & 0.504051 \tabularnewline
270 & 10.95 & 10.4413 & 0.508727 \tabularnewline
271 & 12.35 & 14.9932 & -2.64323 \tabularnewline
272 & 9.95 & 6.61537 & 3.33463 \tabularnewline
273 & 14.9 & 12.8424 & 2.05762 \tabularnewline
274 & 16.65 & 16.1378 & 0.512222 \tabularnewline
275 & 13.4 & 12.8553 & 0.544716 \tabularnewline
276 & 13.95 & 9.69272 & 4.25728 \tabularnewline
277 & 15.7 & 10.9978 & 4.70219 \tabularnewline
278 & 16.85 & 16.1182 & 0.731762 \tabularnewline
279 & 10.95 & 7.24386 & 3.70614 \tabularnewline
280 & 15.35 & 14.2294 & 1.12055 \tabularnewline
281 & 12.2 & 11.0523 & 1.14767 \tabularnewline
282 & 15.1 & 13.7586 & 1.34143 \tabularnewline
283 & 17.75 & 15.1375 & 2.61247 \tabularnewline
284 & 15.2 & 13.9268 & 1.27324 \tabularnewline
285 & 14.6 & 12.6149 & 1.98508 \tabularnewline
286 & 16.65 & 19.2909 & -2.6409 \tabularnewline
287 & 8.1 & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268730&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]12.9[/C][C]11.7099[/C][C]1.19014[/C][/ROW]
[ROW][C]2[/C][C]7.4[/C][C]11.2498[/C][C]-3.84982[/C][/ROW]
[ROW][C]3[/C][C]12.2[/C][C]11.3521[/C][C]0.847881[/C][/ROW]
[ROW][C]4[/C][C]12.8[/C][C]12.1191[/C][C]0.680933[/C][/ROW]
[ROW][C]5[/C][C]7.4[/C][C]12.5817[/C][C]-5.18172[/C][/ROW]
[ROW][C]6[/C][C]6.7[/C][C]11.3013[/C][C]-4.60132[/C][/ROW]
[ROW][C]7[/C][C]12.6[/C][C]15.3257[/C][C]-2.72573[/C][/ROW]
[ROW][C]8[/C][C]14.8[/C][C]12.5259[/C][C]2.27409[/C][/ROW]
[ROW][C]9[/C][C]13.3[/C][C]12.075[/C][C]1.22495[/C][/ROW]
[ROW][C]10[/C][C]11.1[/C][C]12.4547[/C][C]-1.35467[/C][/ROW]
[ROW][C]11[/C][C]8.2[/C][C]14.2134[/C][C]-6.01337[/C][/ROW]
[ROW][C]12[/C][C]11.4[/C][C]12.8315[/C][C]-1.43149[/C][/ROW]
[ROW][C]13[/C][C]6.4[/C][C]14.4785[/C][C]-8.0785[/C][/ROW]
[ROW][C]14[/C][C]10.6[/C][C]11.5318[/C][C]-0.931756[/C][/ROW]
[ROW][C]15[/C][C]12[/C][C]13.4542[/C][C]-1.45418[/C][/ROW]
[ROW][C]16[/C][C]6.3[/C][C]9.71495[/C][C]-3.41495[/C][/ROW]
[ROW][C]17[/C][C]11.3[/C][C]11.2545[/C][C]0.0455309[/C][/ROW]
[ROW][C]18[/C][C]11.9[/C][C]13.733[/C][C]-1.83304[/C][/ROW]
[ROW][C]19[/C][C]9.3[/C][C]12.0817[/C][C]-2.78172[/C][/ROW]
[ROW][C]20[/C][C]9.6[/C][C]12.2029[/C][C]-2.60291[/C][/ROW]
[ROW][C]21[/C][C]10[/C][C]11.447[/C][C]-1.44698[/C][/ROW]
[ROW][C]22[/C][C]6.4[/C][C]11.7148[/C][C]-5.31476[/C][/ROW]
[ROW][C]23[/C][C]13.8[/C][C]13.0387[/C][C]0.761316[/C][/ROW]
[ROW][C]24[/C][C]10.8[/C][C]13.202[/C][C]-2.40202[/C][/ROW]
[ROW][C]25[/C][C]13.8[/C][C]12.0226[/C][C]1.77741[/C][/ROW]
[ROW][C]26[/C][C]11.7[/C][C]12.5569[/C][C]-0.856857[/C][/ROW]
[ROW][C]27[/C][C]10.9[/C][C]14.8765[/C][C]-3.97654[/C][/ROW]
[ROW][C]28[/C][C]16.1[/C][C]13.2682[/C][C]2.83178[/C][/ROW]
[ROW][C]29[/C][C]13.4[/C][C]11.0034[/C][C]2.39662[/C][/ROW]
[ROW][C]30[/C][C]9.9[/C][C]10.9562[/C][C]-1.05621[/C][/ROW]
[ROW][C]31[/C][C]11.5[/C][C]12.0816[/C][C]-0.581613[/C][/ROW]
[ROW][C]32[/C][C]8.3[/C][C]11.7783[/C][C]-3.4783[/C][/ROW]
[ROW][C]33[/C][C]11.7[/C][C]13.3129[/C][C]-1.61295[/C][/ROW]
[ROW][C]34[/C][C]6.1[/C][C]11.4826[/C][C]-5.38263[/C][/ROW]
[ROW][C]35[/C][C]9[/C][C]12.2865[/C][C]-3.2865[/C][/ROW]
[ROW][C]36[/C][C]9.7[/C][C]14.4237[/C][C]-4.72369[/C][/ROW]
[ROW][C]37[/C][C]10.8[/C][C]12.5051[/C][C]-1.7051[/C][/ROW]
[ROW][C]38[/C][C]10.3[/C][C]12.8634[/C][C]-2.56339[/C][/ROW]
[ROW][C]39[/C][C]10.4[/C][C]11.5868[/C][C]-1.18679[/C][/ROW]
[ROW][C]40[/C][C]12.7[/C][C]12.771[/C][C]-0.0710296[/C][/ROW]
[ROW][C]41[/C][C]9.3[/C][C]12.1525[/C][C]-2.8525[/C][/ROW]
[ROW][C]42[/C][C]11.8[/C][C]14.2665[/C][C]-2.46651[/C][/ROW]
[ROW][C]43[/C][C]5.9[/C][C]10.5347[/C][C]-4.63475[/C][/ROW]
[ROW][C]44[/C][C]11.4[/C][C]13.9617[/C][C]-2.56168[/C][/ROW]
[ROW][C]45[/C][C]13[/C][C]11.5972[/C][C]1.40282[/C][/ROW]
[ROW][C]46[/C][C]10.8[/C][C]12.4557[/C][C]-1.65574[/C][/ROW]
[ROW][C]47[/C][C]12.3[/C][C]10.3471[/C][C]1.95287[/C][/ROW]
[ROW][C]48[/C][C]11.3[/C][C]13.3876[/C][C]-2.08758[/C][/ROW]
[ROW][C]49[/C][C]11.8[/C][C]12.3937[/C][C]-0.593689[/C][/ROW]
[ROW][C]50[/C][C]7.9[/C][C]11.0583[/C][C]-3.15832[/C][/ROW]
[ROW][C]51[/C][C]12.7[/C][C]9.83076[/C][C]2.86924[/C][/ROW]
[ROW][C]52[/C][C]12.3[/C][C]10.8665[/C][C]1.43352[/C][/ROW]
[ROW][C]53[/C][C]11.6[/C][C]11.9489[/C][C]-0.348852[/C][/ROW]
[ROW][C]54[/C][C]6.7[/C][C]11.0291[/C][C]-4.3291[/C][/ROW]
[ROW][C]55[/C][C]10.9[/C][C]13.1412[/C][C]-2.24118[/C][/ROW]
[ROW][C]56[/C][C]12.1[/C][C]12.6141[/C][C]-0.514112[/C][/ROW]
[ROW][C]57[/C][C]13.3[/C][C]13.5097[/C][C]-0.209718[/C][/ROW]
[ROW][C]58[/C][C]10.1[/C][C]13.3587[/C][C]-3.25873[/C][/ROW]
[ROW][C]59[/C][C]5.7[/C][C]11.6667[/C][C]-5.96673[/C][/ROW]
[ROW][C]60[/C][C]14.3[/C][C]12.1152[/C][C]2.18483[/C][/ROW]
[ROW][C]61[/C][C]8[/C][C]9.4913[/C][C]-1.4913[/C][/ROW]
[ROW][C]62[/C][C]13.3[/C][C]11.6432[/C][C]1.65679[/C][/ROW]
[ROW][C]63[/C][C]9.3[/C][C]12.5255[/C][C]-3.22552[/C][/ROW]
[ROW][C]64[/C][C]12.5[/C][C]11.654[/C][C]0.846044[/C][/ROW]
[ROW][C]65[/C][C]7.6[/C][C]10.6567[/C][C]-3.05668[/C][/ROW]
[ROW][C]66[/C][C]15.9[/C][C]13.7042[/C][C]2.19576[/C][/ROW]
[ROW][C]67[/C][C]9.2[/C][C]11.2758[/C][C]-2.07576[/C][/ROW]
[ROW][C]68[/C][C]9.1[/C][C]10.5201[/C][C]-1.4201[/C][/ROW]
[ROW][C]69[/C][C]11.1[/C][C]14.0484[/C][C]-2.94841[/C][/ROW]
[ROW][C]70[/C][C]13[/C][C]13.2821[/C][C]-0.282069[/C][/ROW]
[ROW][C]71[/C][C]14.5[/C][C]12.9189[/C][C]1.58111[/C][/ROW]
[ROW][C]72[/C][C]12.2[/C][C]10.9632[/C][C]1.23677[/C][/ROW]
[ROW][C]73[/C][C]12.3[/C][C]13.4426[/C][C]-1.14262[/C][/ROW]
[ROW][C]74[/C][C]11.4[/C][C]11.2696[/C][C]0.130444[/C][/ROW]
[ROW][C]75[/C][C]8.8[/C][C]11.1622[/C][C]-2.36218[/C][/ROW]
[ROW][C]76[/C][C]14.6[/C][C]10.9745[/C][C]3.62547[/C][/ROW]
[ROW][C]77[/C][C]7.3[/C][C]12.2632[/C][C]-4.96321[/C][/ROW]
[ROW][C]78[/C][C]12.6[/C][C]12.8946[/C][C]-0.294649[/C][/ROW]
[ROW][C]79[/C][C]NA[/C][C]NA[/C][C]-0.584309[/C][/ROW]
[ROW][C]80[/C][C]13[/C][C]11.6321[/C][C]1.36793[/C][/ROW]
[ROW][C]81[/C][C]12.6[/C][C]14.0123[/C][C]-1.41234[/C][/ROW]
[ROW][C]82[/C][C]13.2[/C][C]14.5183[/C][C]-1.3183[/C][/ROW]
[ROW][C]83[/C][C]9.9[/C][C]13.5326[/C][C]-3.63261[/C][/ROW]
[ROW][C]84[/C][C]7.7[/C][C]7.73831[/C][C]-0.0383094[/C][/ROW]
[ROW][C]85[/C][C]10.5[/C][C]7.60746[/C][C]2.89254[/C][/ROW]
[ROW][C]86[/C][C]13.4[/C][C]14.2444[/C][C]-0.844448[/C][/ROW]
[ROW][C]87[/C][C]10.9[/C][C]16.5719[/C][C]-5.67191[/C][/ROW]
[ROW][C]88[/C][C]4.3[/C][C]4.90252[/C][C]-0.602516[/C][/ROW]
[ROW][C]89[/C][C]10.3[/C][C]9.92482[/C][C]0.375179[/C][/ROW]
[ROW][C]90[/C][C]11.8[/C][C]11.1826[/C][C]0.617402[/C][/ROW]
[ROW][C]91[/C][C]11.2[/C][C]10.6691[/C][C]0.530914[/C][/ROW]
[ROW][C]92[/C][C]11.4[/C][C]12.8463[/C][C]-1.44632[/C][/ROW]
[ROW][C]93[/C][C]8.6[/C][C]6.2961[/C][C]2.3039[/C][/ROW]
[ROW][C]94[/C][C]13.2[/C][C]10.8464[/C][C]2.35356[/C][/ROW]
[ROW][C]95[/C][C]12.6[/C][C]18.0166[/C][C]-5.4166[/C][/ROW]
[ROW][C]96[/C][C]5.6[/C][C]6.76186[/C][C]-1.16186[/C][/ROW]
[ROW][C]97[/C][C]9.9[/C][C]13.0026[/C][C]-3.10261[/C][/ROW]
[ROW][C]98[/C][C]8.8[/C][C]12.793[/C][C]-3.99298[/C][/ROW]
[ROW][C]99[/C][C]7.7[/C][C]8.99273[/C][C]-1.29273[/C][/ROW]
[ROW][C]100[/C][C]9[/C][C]13.8996[/C][C]-4.89959[/C][/ROW]
[ROW][C]101[/C][C]7.3[/C][C]6.87592[/C][C]0.424083[/C][/ROW]
[ROW][C]102[/C][C]11.4[/C][C]9.18381[/C][C]2.21619[/C][/ROW]
[ROW][C]103[/C][C]13.6[/C][C]16.3036[/C][C]-2.70361[/C][/ROW]
[ROW][C]104[/C][C]7.9[/C][C]8.06249[/C][C]-0.162489[/C][/ROW]
[ROW][C]105[/C][C]10.7[/C][C]12.0094[/C][C]-1.30943[/C][/ROW]
[ROW][C]106[/C][C]10.3[/C][C]12.1969[/C][C]-1.89695[/C][/ROW]
[ROW][C]107[/C][C]8.3[/C][C]9.51804[/C][C]-1.21804[/C][/ROW]
[ROW][C]108[/C][C]9.6[/C][C]7.0287[/C][C]2.5713[/C][/ROW]
[ROW][C]109[/C][C]14.2[/C][C]15.9999[/C][C]-1.79995[/C][/ROW]
[ROW][C]110[/C][C]8.5[/C][C]5.58633[/C][C]2.91367[/C][/ROW]
[ROW][C]111[/C][C]13.5[/C][C]19.2065[/C][C]-5.70649[/C][/ROW]
[ROW][C]112[/C][C]4.9[/C][C]8.62952[/C][C]-3.72952[/C][/ROW]
[ROW][C]113[/C][C]6.4[/C][C]7.03681[/C][C]-0.636812[/C][/ROW]
[ROW][C]114[/C][C]9.6[/C][C]8.72099[/C][C]0.879009[/C][/ROW]
[ROW][C]115[/C][C]11.6[/C][C]10.768[/C][C]0.831957[/C][/ROW]
[ROW][C]116[/C][C]11.1[/C][C]16.6954[/C][C]-5.59545[/C][/ROW]
[ROW][C]117[/C][C]4.35[/C][C]4.16334[/C][C]0.186664[/C][/ROW]
[ROW][C]118[/C][C]12.7[/C][C]9.38144[/C][C]3.31856[/C][/ROW]
[ROW][C]119[/C][C]18.1[/C][C]15.358[/C][C]2.742[/C][/ROW]
[ROW][C]120[/C][C]17.85[/C][C]16.9774[/C][C]0.872571[/C][/ROW]
[ROW][C]121[/C][C]16.6[/C][C]13.9444[/C][C]2.6556[/C][/ROW]
[ROW][C]122[/C][C]12.6[/C][C]17.9016[/C][C]-5.30161[/C][/ROW]
[ROW][C]123[/C][C]17.1[/C][C]13.5358[/C][C]3.56423[/C][/ROW]
[ROW][C]124[/C][C]19.1[/C][C]21.2045[/C][C]-2.10451[/C][/ROW]
[ROW][C]125[/C][C]16.1[/C][C]13.3784[/C][C]2.72164[/C][/ROW]
[ROW][C]126[/C][C]13.35[/C][C]12.6338[/C][C]0.716227[/C][/ROW]
[ROW][C]127[/C][C]18.4[/C][C]14.7108[/C][C]3.68922[/C][/ROW]
[ROW][C]128[/C][C]14.7[/C][C]18.9525[/C][C]-4.25252[/C][/ROW]
[ROW][C]129[/C][C]10.6[/C][C]11.7536[/C][C]-1.15361[/C][/ROW]
[ROW][C]130[/C][C]12.6[/C][C]11.5058[/C][C]1.09418[/C][/ROW]
[ROW][C]131[/C][C]16.2[/C][C]20.4783[/C][C]-4.27833[/C][/ROW]
[ROW][C]132[/C][C]13.6[/C][C]10.5432[/C][C]3.05685[/C][/ROW]
[ROW][C]133[/C][C]18.9[/C][C]17.18[/C][C]1.71996[/C][/ROW]
[ROW][C]134[/C][C]14.1[/C][C]11.417[/C][C]2.68297[/C][/ROW]
[ROW][C]135[/C][C]14.5[/C][C]16.5033[/C][C]-2.00327[/C][/ROW]
[ROW][C]136[/C][C]16.15[/C][C]14.905[/C][C]1.24501[/C][/ROW]
[ROW][C]137[/C][C]14.75[/C][C]14.1426[/C][C]0.607389[/C][/ROW]
[ROW][C]138[/C][C]14.8[/C][C]14.6269[/C][C]0.173063[/C][/ROW]
[ROW][C]139[/C][C]12.45[/C][C]14.5604[/C][C]-2.11041[/C][/ROW]
[ROW][C]140[/C][C]12.65[/C][C]9.06793[/C][C]3.58207[/C][/ROW]
[ROW][C]141[/C][C]17.35[/C][C]20.7787[/C][C]-3.42874[/C][/ROW]
[ROW][C]142[/C][C]8.6[/C][C]7.81949[/C][C]0.780507[/C][/ROW]
[ROW][C]143[/C][C]18.4[/C][C]20.4331[/C][C]-2.03307[/C][/ROW]
[ROW][C]144[/C][C]16.1[/C][C]15.5478[/C][C]0.552247[/C][/ROW]
[ROW][C]145[/C][C]11.6[/C][C]5.88395[/C][C]5.71605[/C][/ROW]
[ROW][C]146[/C][C]17.75[/C][C]16.0591[/C][C]1.69094[/C][/ROW]
[ROW][C]147[/C][C]15.25[/C][C]13.8683[/C][C]1.38174[/C][/ROW]
[ROW][C]148[/C][C]17.65[/C][C]15.807[/C][C]1.84303[/C][/ROW]
[ROW][C]149[/C][C]15.6[/C][C]14.244[/C][C]1.35601[/C][/ROW]
[ROW][C]150[/C][C]16.35[/C][C]13.4237[/C][C]2.92628[/C][/ROW]
[ROW][C]151[/C][C]17.65[/C][C]16.9793[/C][C]0.670659[/C][/ROW]
[ROW][C]152[/C][C]13.6[/C][C]14.0431[/C][C]-0.443067[/C][/ROW]
[ROW][C]153[/C][C]11.7[/C][C]10.7598[/C][C]0.940152[/C][/ROW]
[ROW][C]154[/C][C]14.35[/C][C]17.3784[/C][C]-3.02837[/C][/ROW]
[ROW][C]155[/C][C]14.75[/C][C]12.9208[/C][C]1.82916[/C][/ROW]
[ROW][C]156[/C][C]18.25[/C][C]23.5156[/C][C]-5.26559[/C][/ROW]
[ROW][C]157[/C][C]9.9[/C][C]7.77535[/C][C]2.12465[/C][/ROW]
[ROW][C]158[/C][C]16[/C][C]13.4639[/C][C]2.53606[/C][/ROW]
[ROW][C]159[/C][C]18.25[/C][C]18.7934[/C][C]-0.543418[/C][/ROW]
[ROW][C]160[/C][C]16.85[/C][C]14.7614[/C][C]2.08862[/C][/ROW]
[ROW][C]161[/C][C]14.6[/C][C]14.3726[/C][C]0.227444[/C][/ROW]
[ROW][C]162[/C][C]13.85[/C][C]11.0657[/C][C]2.78434[/C][/ROW]
[ROW][C]163[/C][C]18.95[/C][C]17.9414[/C][C]1.0086[/C][/ROW]
[ROW][C]164[/C][C]15.6[/C][C]18.0563[/C][C]-2.45627[/C][/ROW]
[ROW][C]165[/C][C]14.85[/C][C]15.4949[/C][C]-0.644869[/C][/ROW]
[ROW][C]166[/C][C]11.75[/C][C]5.88469[/C][C]5.86531[/C][/ROW]
[ROW][C]167[/C][C]18.45[/C][C]20.0582[/C][C]-1.60823[/C][/ROW]
[ROW][C]168[/C][C]15.9[/C][C]12.7147[/C][C]3.18527[/C][/ROW]
[ROW][C]169[/C][C]17.1[/C][C]11.7749[/C][C]5.32511[/C][/ROW]
[ROW][C]170[/C][C]16.1[/C][C]10.785[/C][C]5.315[/C][/ROW]
[ROW][C]171[/C][C]19.9[/C][C]19.3959[/C][C]0.504051[/C][/ROW]
[ROW][C]172[/C][C]10.95[/C][C]8.21087[/C][C]2.73913[/C][/ROW]
[ROW][C]173[/C][C]18.45[/C][C]13.8358[/C][C]4.61424[/C][/ROW]
[ROW][C]174[/C][C]15.1[/C][C]15.649[/C][C]-0.548991[/C][/ROW]
[ROW][C]175[/C][C]15[/C][C]17.6119[/C][C]-2.61186[/C][/ROW]
[ROW][C]176[/C][C]11.35[/C][C]10.4473[/C][C]0.902738[/C][/ROW]
[ROW][C]177[/C][C]15.95[/C][C]11.0127[/C][C]4.93735[/C][/ROW]
[ROW][C]178[/C][C]18.1[/C][C]16.1669[/C][C]1.93309[/C][/ROW]
[ROW][C]179[/C][C]14.6[/C][C]15.3472[/C][C]-0.747196[/C][/ROW]
[ROW][C]180[/C][C]15.4[/C][C]16.1472[/C][C]-0.747196[/C][/ROW]
[ROW][C]181[/C][C]15.4[/C][C]11.1983[/C][C]4.2017[/C][/ROW]
[ROW][C]182[/C][C]17.6[/C][C]17.9601[/C][C]-0.360073[/C][/ROW]
[ROW][C]183[/C][C]13.35[/C][C]10.9425[/C][C]2.40747[/C][/ROW]
[ROW][C]184[/C][C]19.1[/C][C]16.5879[/C][C]2.51207[/C][/ROW]
[ROW][C]185[/C][C]15.35[/C][C]20.013[/C][C]-4.66302[/C][/ROW]
[ROW][C]186[/C][C]7.6[/C][C]7.93339[/C][C]-0.333387[/C][/ROW]
[ROW][C]187[/C][C]13.4[/C][C]12.9443[/C][C]0.455726[/C][/ROW]
[ROW][C]188[/C][C]13.9[/C][C]11.9724[/C][C]1.92756[/C][/ROW]
[ROW][C]189[/C][C]19.1[/C][C]17.5213[/C][C]1.57871[/C][/ROW]
[ROW][C]190[/C][C]15.25[/C][C]14.2159[/C][C]1.0341[/C][/ROW]
[ROW][C]191[/C][C]12.9[/C][C]10.5036[/C][C]2.3964[/C][/ROW]
[ROW][C]192[/C][C]16.1[/C][C]10.9735[/C][C]5.12646[/C][/ROW]
[ROW][C]193[/C][C]17.35[/C][C]16.3944[/C][C]0.955596[/C][/ROW]
[ROW][C]194[/C][C]13.15[/C][C]10.8325[/C][C]2.31746[/C][/ROW]
[ROW][C]195[/C][C]12.15[/C][C]12.0526[/C][C]0.0973935[/C][/ROW]
[ROW][C]196[/C][C]12.6[/C][C]13.6757[/C][C]-1.07571[/C][/ROW]
[ROW][C]197[/C][C]10.35[/C][C]7.38509[/C][C]2.96491[/C][/ROW]
[ROW][C]198[/C][C]15.4[/C][C]16.5538[/C][C]-1.15377[/C][/ROW]
[ROW][C]199[/C][C]9.6[/C][C]4.55179[/C][C]5.04821[/C][/ROW]
[ROW][C]200[/C][C]18.2[/C][C]16.6099[/C][C]1.59005[/C][/ROW]
[ROW][C]201[/C][C]13.6[/C][C]13.3736[/C][C]0.226384[/C][/ROW]
[ROW][C]202[/C][C]14.85[/C][C]17.0977[/C][C]-2.2477[/C][/ROW]
[ROW][C]203[/C][C]14.75[/C][C]14.4836[/C][C]0.266434[/C][/ROW]
[ROW][C]204[/C][C]14.1[/C][C]10.4861[/C][C]3.61393[/C][/ROW]
[ROW][C]205[/C][C]14.9[/C][C]11.2741[/C][C]3.62592[/C][/ROW]
[ROW][C]206[/C][C]16.25[/C][C]14.5691[/C][C]1.68086[/C][/ROW]
[ROW][C]207[/C][C]19.25[/C][C]17.5313[/C][C]1.71865[/C][/ROW]
[ROW][C]208[/C][C]13.6[/C][C]13.1771[/C][C]0.422887[/C][/ROW]
[ROW][C]209[/C][C]13.6[/C][C]13.1329[/C][C]0.467121[/C][/ROW]
[ROW][C]210[/C][C]15.65[/C][C]15.0761[/C][C]0.573933[/C][/ROW]
[ROW][C]211[/C][C]12.75[/C][C]9.24554[/C][C]3.50446[/C][/ROW]
[ROW][C]212[/C][C]14.6[/C][C]18.0566[/C][C]-3.45657[/C][/ROW]
[ROW][C]213[/C][C]9.85[/C][C]8.18498[/C][C]1.66502[/C][/ROW]
[ROW][C]214[/C][C]12.65[/C][C]12.8688[/C][C]-0.218839[/C][/ROW]
[ROW][C]215[/C][C]11.9[/C][C]9.02459[/C][C]2.87541[/C][/ROW]
[ROW][C]216[/C][C]19.2[/C][C]16.7475[/C][C]2.45252[/C][/ROW]
[ROW][C]217[/C][C]16.6[/C][C]15.1169[/C][C]1.48311[/C][/ROW]
[ROW][C]218[/C][C]11.2[/C][C]8.96533[/C][C]2.23467[/C][/ROW]
[ROW][C]219[/C][C]15.25[/C][C]18.4825[/C][C]-3.2325[/C][/ROW]
[ROW][C]220[/C][C]11.9[/C][C]14.6493[/C][C]-2.74934[/C][/ROW]
[ROW][C]221[/C][C]13.2[/C][C]14.0296[/C][C]-0.829607[/C][/ROW]
[ROW][C]222[/C][C]16.35[/C][C]17.3123[/C][C]-0.962329[/C][/ROW]
[ROW][C]223[/C][C]12.4[/C][C]9.38002[/C][C]3.01998[/C][/ROW]
[ROW][C]224[/C][C]15.85[/C][C]15.0815[/C][C]0.768528[/C][/ROW]
[ROW][C]225[/C][C]14.35[/C][C]11.1732[/C][C]3.17676[/C][/ROW]
[ROW][C]226[/C][C]18.15[/C][C]18.2898[/C][C]-0.139798[/C][/ROW]
[ROW][C]227[/C][C]11.15[/C][C]11.0517[/C][C]0.0982817[/C][/ROW]
[ROW][C]228[/C][C]15.65[/C][C]14.2915[/C][C]1.35847[/C][/ROW]
[ROW][C]229[/C][C]17.75[/C][C]22.5206[/C][C]-4.77064[/C][/ROW]
[ROW][C]230[/C][C]7.65[/C][C]7.17178[/C][C]0.478217[/C][/ROW]
[ROW][C]231[/C][C]12.35[/C][C]8.18167[/C][C]4.16833[/C][/ROW]
[ROW][C]232[/C][C]15.6[/C][C]12.5843[/C][C]3.01572[/C][/ROW]
[ROW][C]233[/C][C]19.3[/C][C]15.8579[/C][C]3.44214[/C][/ROW]
[ROW][C]234[/C][C]15.2[/C][C]11.4847[/C][C]3.71533[/C][/ROW]
[ROW][C]235[/C][C]17.1[/C][C]14.1521[/C][C]2.94791[/C][/ROW]
[ROW][C]236[/C][C]15.6[/C][C]11.982[/C][C]3.61805[/C][/ROW]
[ROW][C]237[/C][C]18.4[/C][C]14.4681[/C][C]3.93191[/C][/ROW]
[ROW][C]238[/C][C]19.05[/C][C]13.745[/C][C]5.30498[/C][/ROW]
[ROW][C]239[/C][C]18.55[/C][C]16.2085[/C][C]2.34153[/C][/ROW]
[ROW][C]240[/C][C]19.1[/C][C]17.6871[/C][C]1.41291[/C][/ROW]
[ROW][C]241[/C][C]13.1[/C][C]13.4026[/C][C]-0.302584[/C][/ROW]
[ROW][C]242[/C][C]12.85[/C][C]14.7817[/C][C]-1.93173[/C][/ROW]
[ROW][C]243[/C][C]9.5[/C][C]16.166[/C][C]-6.66604[/C][/ROW]
[ROW][C]244[/C][C]4.5[/C][C]3.12107[/C][C]1.37893[/C][/ROW]
[ROW][C]245[/C][C]11.85[/C][C]14.1967[/C][C]-2.34672[/C][/ROW]
[ROW][C]246[/C][C]13.6[/C][C]15.2053[/C][C]-1.60526[/C][/ROW]
[ROW][C]247[/C][C]11.7[/C][C]10.6451[/C][C]1.05489[/C][/ROW]
[ROW][C]248[/C][C]12.4[/C][C]13.8363[/C][C]-1.43631[/C][/ROW]
[ROW][C]249[/C][C]13.35[/C][C]15.7697[/C][C]-2.41972[/C][/ROW]
[ROW][C]250[/C][C]11.4[/C][C]8.06537[/C][C]3.33463[/C][/ROW]
[ROW][C]251[/C][C]14.9[/C][C]9.585[/C][C]5.315[/C][/ROW]
[ROW][C]252[/C][C]19.9[/C][C]14.0098[/C][C]5.89022[/C][/ROW]
[ROW][C]253[/C][C]17.75[/C][C]18.3256[/C][C]-0.575618[/C][/ROW]
[ROW][C]254[/C][C]11.2[/C][C]12.0527[/C][C]-0.852672[/C][/ROW]
[ROW][C]255[/C][C]14.6[/C][C]12.7937[/C][C]1.80625[/C][/ROW]
[ROW][C]256[/C][C]17.6[/C][C]15.9793[/C][C]1.62074[/C][/ROW]
[ROW][C]257[/C][C]14.05[/C][C]13.097[/C][C]0.95301[/C][/ROW]
[ROW][C]258[/C][C]16.1[/C][C]15.923[/C][C]0.177011[/C][/ROW]
[ROW][C]259[/C][C]13.35[/C][C]13.917[/C][C]-0.567039[/C][/ROW]
[ROW][C]260[/C][C]11.85[/C][C]14.156[/C][C]-2.30596[/C][/ROW]
[ROW][C]261[/C][C]11.95[/C][C]11.7791[/C][C]0.170914[/C][/ROW]
[ROW][C]262[/C][C]14.75[/C][C]12.5239[/C][C]2.22606[/C][/ROW]
[ROW][C]263[/C][C]15.15[/C][C]15.5396[/C][C]-0.389632[/C][/ROW]
[ROW][C]264[/C][C]13.2[/C][C]11.7406[/C][C]1.45939[/C][/ROW]
[ROW][C]265[/C][C]16.85[/C][C]19.0405[/C][C]-2.19051[/C][/ROW]
[ROW][C]266[/C][C]7.85[/C][C]14.8873[/C][C]-7.03734[/C][/ROW]
[ROW][C]267[/C][C]7.7[/C][C]6.37199[/C][C]1.32801[/C][/ROW]
[ROW][C]268[/C][C]12.6[/C][C]16.075[/C][C]-3.47498[/C][/ROW]
[ROW][C]269[/C][C]7.85[/C][C]7.34595[/C][C]0.504051[/C][/ROW]
[ROW][C]270[/C][C]10.95[/C][C]10.4413[/C][C]0.508727[/C][/ROW]
[ROW][C]271[/C][C]12.35[/C][C]14.9932[/C][C]-2.64323[/C][/ROW]
[ROW][C]272[/C][C]9.95[/C][C]6.61537[/C][C]3.33463[/C][/ROW]
[ROW][C]273[/C][C]14.9[/C][C]12.8424[/C][C]2.05762[/C][/ROW]
[ROW][C]274[/C][C]16.65[/C][C]16.1378[/C][C]0.512222[/C][/ROW]
[ROW][C]275[/C][C]13.4[/C][C]12.8553[/C][C]0.544716[/C][/ROW]
[ROW][C]276[/C][C]13.95[/C][C]9.69272[/C][C]4.25728[/C][/ROW]
[ROW][C]277[/C][C]15.7[/C][C]10.9978[/C][C]4.70219[/C][/ROW]
[ROW][C]278[/C][C]16.85[/C][C]16.1182[/C][C]0.731762[/C][/ROW]
[ROW][C]279[/C][C]10.95[/C][C]7.24386[/C][C]3.70614[/C][/ROW]
[ROW][C]280[/C][C]15.35[/C][C]14.2294[/C][C]1.12055[/C][/ROW]
[ROW][C]281[/C][C]12.2[/C][C]11.0523[/C][C]1.14767[/C][/ROW]
[ROW][C]282[/C][C]15.1[/C][C]13.7586[/C][C]1.34143[/C][/ROW]
[ROW][C]283[/C][C]17.75[/C][C]15.1375[/C][C]2.61247[/C][/ROW]
[ROW][C]284[/C][C]15.2[/C][C]13.9268[/C][C]1.27324[/C][/ROW]
[ROW][C]285[/C][C]14.6[/C][C]12.6149[/C][C]1.98508[/C][/ROW]
[ROW][C]286[/C][C]16.65[/C][C]19.2909[/C][C]-2.6409[/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=268730&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268730&T=4

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


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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
112.911.70991.19014
27.411.2498-3.84982
312.211.35210.847881
412.812.11910.680933
57.412.5817-5.18172
66.711.3013-4.60132
712.615.3257-2.72573
814.812.52592.27409
913.312.0751.22495
1011.112.4547-1.35467
118.214.2134-6.01337
1211.412.8315-1.43149
136.414.4785-8.0785
1410.611.5318-0.931756
151213.4542-1.45418
166.39.71495-3.41495
1711.311.25450.0455309
1811.913.733-1.83304
199.312.0817-2.78172
209.612.2029-2.60291
211011.447-1.44698
226.411.7148-5.31476
2313.813.03870.761316
2410.813.202-2.40202
2513.812.02261.77741
2611.712.5569-0.856857
2710.914.8765-3.97654
2816.113.26822.83178
2913.411.00342.39662
309.910.9562-1.05621
3111.512.0816-0.581613
328.311.7783-3.4783
3311.713.3129-1.61295
346.111.4826-5.38263
35912.2865-3.2865
369.714.4237-4.72369
3710.812.5051-1.7051
3810.312.8634-2.56339
3910.411.5868-1.18679
4012.712.771-0.0710296
419.312.1525-2.8525
4211.814.2665-2.46651
435.910.5347-4.63475
4411.413.9617-2.56168
451311.59721.40282
4610.812.4557-1.65574
4712.310.34711.95287
4811.313.3876-2.08758
4911.812.3937-0.593689
507.911.0583-3.15832
5112.79.830762.86924
5212.310.86651.43352
5311.611.9489-0.348852
546.711.0291-4.3291
5510.913.1412-2.24118
5612.112.6141-0.514112
5713.313.5097-0.209718
5810.113.3587-3.25873
595.711.6667-5.96673
6014.312.11522.18483
6189.4913-1.4913
6213.311.64321.65679
639.312.5255-3.22552
6412.511.6540.846044
657.610.6567-3.05668
6615.913.70422.19576
679.211.2758-2.07576
689.110.5201-1.4201
6911.114.0484-2.94841
701313.2821-0.282069
7114.512.91891.58111
7212.210.96321.23677
7312.313.4426-1.14262
7411.411.26960.130444
758.811.1622-2.36218
7614.610.97453.62547
777.312.2632-4.96321
7812.612.8946-0.294649
79NANA-0.584309
801311.63211.36793
8112.614.0123-1.41234
8213.214.5183-1.3183
839.913.5326-3.63261
847.77.73831-0.0383094
8510.57.607462.89254
8613.414.2444-0.844448
8710.916.5719-5.67191
884.34.90252-0.602516
8910.39.924820.375179
9011.811.18260.617402
9111.210.66910.530914
9211.412.8463-1.44632
938.66.29612.3039
9413.210.84642.35356
9512.618.0166-5.4166
965.66.76186-1.16186
979.913.0026-3.10261
988.812.793-3.99298
997.78.99273-1.29273
100913.8996-4.89959
1017.36.875920.424083
10211.49.183812.21619
10313.616.3036-2.70361
1047.98.06249-0.162489
10510.712.0094-1.30943
10610.312.1969-1.89695
1078.39.51804-1.21804
1089.67.02872.5713
10914.215.9999-1.79995
1108.55.586332.91367
11113.519.2065-5.70649
1124.98.62952-3.72952
1136.47.03681-0.636812
1149.68.720990.879009
11511.610.7680.831957
11611.116.6954-5.59545
1174.354.163340.186664
11812.79.381443.31856
11918.115.3582.742
12017.8516.97740.872571
12116.613.94442.6556
12212.617.9016-5.30161
12317.113.53583.56423
12419.121.2045-2.10451
12516.113.37842.72164
12613.3512.63380.716227
12718.414.71083.68922
12814.718.9525-4.25252
12910.611.7536-1.15361
13012.611.50581.09418
13116.220.4783-4.27833
13213.610.54323.05685
13318.917.181.71996
13414.111.4172.68297
13514.516.5033-2.00327
13616.1514.9051.24501
13714.7514.14260.607389
13814.814.62690.173063
13912.4514.5604-2.11041
14012.659.067933.58207
14117.3520.7787-3.42874
1428.67.819490.780507
14318.420.4331-2.03307
14416.115.54780.552247
14511.65.883955.71605
14617.7516.05911.69094
14715.2513.86831.38174
14817.6515.8071.84303
14915.614.2441.35601
15016.3513.42372.92628
15117.6516.97930.670659
15213.614.0431-0.443067
15311.710.75980.940152
15414.3517.3784-3.02837
15514.7512.92081.82916
15618.2523.5156-5.26559
1579.97.775352.12465
1581613.46392.53606
15918.2518.7934-0.543418
16016.8514.76142.08862
16114.614.37260.227444
16213.8511.06572.78434
16318.9517.94141.0086
16415.618.0563-2.45627
16514.8515.4949-0.644869
16611.755.884695.86531
16718.4520.0582-1.60823
16815.912.71473.18527
16917.111.77495.32511
17016.110.7855.315
17119.919.39590.504051
17210.958.210872.73913
17318.4513.83584.61424
17415.115.649-0.548991
1751517.6119-2.61186
17611.3510.44730.902738
17715.9511.01274.93735
17818.116.16691.93309
17914.615.3472-0.747196
18015.416.1472-0.747196
18115.411.19834.2017
18217.617.9601-0.360073
18313.3510.94252.40747
18419.116.58792.51207
18515.3520.013-4.66302
1867.67.93339-0.333387
18713.412.94430.455726
18813.911.97241.92756
18919.117.52131.57871
19015.2514.21591.0341
19112.910.50362.3964
19216.110.97355.12646
19317.3516.39440.955596
19413.1510.83252.31746
19512.1512.05260.0973935
19612.613.6757-1.07571
19710.357.385092.96491
19815.416.5538-1.15377
1999.64.551795.04821
20018.216.60991.59005
20113.613.37360.226384
20214.8517.0977-2.2477
20314.7514.48360.266434
20414.110.48613.61393
20514.911.27413.62592
20616.2514.56911.68086
20719.2517.53131.71865
20813.613.17710.422887
20913.613.13290.467121
21015.6515.07610.573933
21112.759.245543.50446
21214.618.0566-3.45657
2139.858.184981.66502
21412.6512.8688-0.218839
21511.99.024592.87541
21619.216.74752.45252
21716.615.11691.48311
21811.28.965332.23467
21915.2518.4825-3.2325
22011.914.6493-2.74934
22113.214.0296-0.829607
22216.3517.3123-0.962329
22312.49.380023.01998
22415.8515.08150.768528
22514.3511.17323.17676
22618.1518.2898-0.139798
22711.1511.05170.0982817
22815.6514.29151.35847
22917.7522.5206-4.77064
2307.657.171780.478217
23112.358.181674.16833
23215.612.58433.01572
23319.315.85793.44214
23415.211.48473.71533
23517.114.15212.94791
23615.611.9823.61805
23718.414.46813.93191
23819.0513.7455.30498
23918.5516.20852.34153
24019.117.68711.41291
24113.113.4026-0.302584
24212.8514.7817-1.93173
2439.516.166-6.66604
2444.53.121071.37893
24511.8514.1967-2.34672
24613.615.2053-1.60526
24711.710.64511.05489
24812.413.8363-1.43631
24913.3515.7697-2.41972
25011.48.065373.33463
25114.99.5855.315
25219.914.00985.89022
25317.7518.3256-0.575618
25411.212.0527-0.852672
25514.612.79371.80625
25617.615.97931.62074
25714.0513.0970.95301
25816.115.9230.177011
25913.3513.917-0.567039
26011.8514.156-2.30596
26111.9511.77910.170914
26214.7512.52392.22606
26315.1515.5396-0.389632
26413.211.74061.45939
26516.8519.0405-2.19051
2667.8514.8873-7.03734
2677.76.371991.32801
26812.616.075-3.47498
2697.857.345950.504051
27010.9510.44130.508727
27112.3514.9932-2.64323
2729.956.615373.33463
27314.912.84242.05762
27416.6516.13780.512222
27513.412.85530.544716
27613.959.692724.25728
27715.710.99784.70219
27816.8516.11820.731762
27910.957.243863.70614
28015.3514.22941.12055
28112.211.05231.14767
28215.113.75861.34143
28317.7515.13752.61247
28415.213.92681.27324
28514.612.61491.98508
28616.6519.2909-2.6409
2878.1NANA






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.9412220.1175560.0587782
90.889950.22010.11005
100.8338540.3322920.166146
110.8601470.2797050.139853
120.7971990.4056010.202801
130.8405060.3189880.159494
140.7785620.4428770.221438
150.7064610.5870780.293539
160.6636430.6727140.336357
170.6645460.6709070.335454
180.5981540.8036920.401846
190.5243890.9512210.475611
200.4552260.9104510.544774
210.3830620.7661240.616938
220.4277450.855490.572255
230.3803770.7607540.619623
240.3212440.6424880.678756
250.2737120.5474240.726288
260.2249480.4498970.775052
270.1898470.3796950.810153
280.1548920.3097840.845108
290.2128670.4257340.787133
300.1793790.3587580.820621
310.164370.328740.83563
320.1395560.2791130.860444
330.1370550.2741110.862945
340.189390.3787810.81061
350.1602650.3205310.839735
360.1834370.3668740.816563
370.1550160.3100320.844984
380.1278070.2556140.872193
390.1067530.2135050.893247
400.1129630.2259250.887037
410.1328910.2657810.867109
420.1190850.2381690.880915
430.1653320.3306640.834668
440.14230.28460.8577
450.1298430.2596870.870157
460.1129840.2259680.887016
470.1206170.2412330.879383
480.1028920.2057840.897108
490.08849460.1769890.911505
500.1091240.2182490.890876
510.1196190.2392390.880381
520.1225350.2450690.877465
530.1074170.2148350.892583
540.1116760.2233520.888324
550.1033080.2066160.896692
560.1023650.204730.897635
570.1008770.2017530.899123
580.08842460.1768490.911575
590.1427520.2855050.857248
600.1753320.3506630.824668
610.1508860.3017710.849114
620.160680.321360.83932
630.1664220.3328430.833578
640.1572420.3144830.842758
650.1595880.3191750.840412
660.2021520.4043040.797848
670.1964790.3929580.803521
680.1718480.3436970.828152
690.1714540.3429080.828546
700.1592920.3185830.840708
710.1640190.3280380.835981
720.1528130.3056260.847187
730.1385710.2771420.861429
740.123340.246680.87666
750.1105480.2210970.889452
760.1174210.2348420.882579
770.1997820.3995650.800218
780.1895770.3791540.810423
790.1794440.3588880.820556
800.1722120.3444240.827788
810.1709710.3419420.829029
820.149850.2996990.85015
830.1778740.3557470.822126
840.1560110.3120220.843989
850.173780.3475590.82622
860.153770.307540.84623
870.2681510.5363020.731849
880.2498850.4997690.750115
890.2266420.4532840.773358
900.201520.403040.79848
910.1795340.3590680.820466
920.1699080.3398170.830092
930.1790130.3580250.820987
940.1878830.3757660.812117
950.2800710.5601410.719929
960.2816510.5633030.718349
970.2762020.5524040.723798
980.2982670.5965330.701733
990.2923540.5847070.707646
1000.374660.7493210.62534
1010.359380.7187590.64062
1020.4053060.8106120.594694
1030.4632470.9264930.536753
1040.4358360.8716720.564164
1050.4197450.839490.580255
1060.4222760.8445520.577724
1070.4401020.8802040.559898
1080.4725880.9451760.527412
1090.4990710.9981420.500929
1100.5173170.9653660.482683
1110.7172410.5655180.282759
1120.7564610.4870780.243539
1130.7648340.4703320.235166
1140.7611590.4776820.238841
1150.7512890.4974210.248711
1160.8621510.2756980.137849
1170.8570490.2859010.142951
1180.918810.162380.08119
1190.944220.111560.0557799
1200.9378450.1243110.0621554
1210.9432220.1135560.0567778
1220.9398960.1202090.0601043
1230.9519310.09613710.0480686
1240.9607940.07841170.0392059
1250.9666590.06668150.0333407
1260.9679940.06401240.0320062
1270.9803350.03933020.0196651
1280.983450.03310070.0165503
1290.9805320.03893630.0194682
1300.9799870.04002550.0200128
1310.9811110.03777870.0188894
1320.9840840.03183220.0159161
1330.9832630.03347320.0167366
1340.9844650.03106960.0155348
1350.9836820.0326370.0163185
1360.9817430.03651310.0182566
1370.9785550.04288960.0214448
1380.9742670.05146650.0257333
1390.9699710.06005710.0300286
1400.979130.04174080.0208704
1410.9790390.04192260.0209613
1420.97690.04619940.0230997
1430.9724640.05507190.027536
1440.9674640.06507210.0325361
1450.9831280.03374470.0168724
1460.9825840.03483120.0174156
1470.9825040.03499130.0174957
1480.9813560.03728860.0186443
1490.9790340.04193120.0209656
1500.9797250.04055040.0202752
1510.976290.04742080.0237104
1520.9747060.05058810.0252941
1530.9704240.05915240.0295762
1540.9667530.06649370.0332469
1550.9652110.06957840.0347892
1560.9878450.02430960.0121548
1570.9866090.02678170.0133908
1580.9869380.02612310.0130615
1590.9840560.03188750.0159437
1600.9845540.03089220.0154461
1610.9813010.0373990.0186995
1620.9807170.03856640.0192832
1630.9773790.04524270.0226214
1640.9757640.04847260.0242363
1650.971180.05764070.0288203
1660.9810720.03785510.0189276
1670.9779320.04413630.0220682
1680.9779890.04402240.0220112
1690.9955840.008832660.00441633
1700.9965870.006825110.00341255
1710.9956070.008785670.00439284
1720.9955370.008925320.00446266
1730.9970660.005867640.00293382
1740.9961980.007603210.0038016
1750.9964060.007187420.00359371
1760.995650.008700250.00435012
1770.9970250.005950390.0029752
1780.9967190.006562430.00328122
1790.9958860.0082270.0041135
1800.9949070.01018590.00509295
1810.995770.008459580.00422979
1820.9952440.009511160.00475558
1830.9951560.009688110.00484406
1840.9945590.01088240.00544119
1850.9959240.00815250.00407625
1860.9955660.008867130.00443356
1870.9944420.0111160.00555802
1880.9935140.01297240.00648621
1890.9919130.01617370.00808687
1900.9914970.01700620.0085031
1910.9899980.02000340.0100017
1920.9945560.01088720.0054436
1930.9933390.01332250.00666127
1940.9920580.01588340.0079417
1950.9898340.02033240.0101662
1960.9874990.02500140.0125007
1970.9854940.02901190.014506
1980.9836430.03271440.0163572
1990.9896770.02064550.0103228
2000.9875530.02489360.0124468
2010.9856050.02878960.0143948
2020.9856850.02862940.0143147
2030.9818380.03632460.0181623
2040.9844730.03105480.0155274
2050.9840.03199950.0159997
2060.9815810.03683840.0184192
2070.9801390.0397230.0198615
2080.9777770.04444610.022223
2090.9725550.05489030.0274452
2100.9663940.06721140.0336057
2110.9738830.05223490.0261175
2120.9716470.05670630.0283532
2130.9698540.06029220.0301461
2140.9626040.07479160.0373958
2150.9586540.08269220.0413461
2160.9546340.09073120.0453656
2170.9455860.1088290.0544143
2180.9361680.1276640.0638321
2190.9486240.1027520.051376
2200.9402430.1195140.0597571
2210.9370020.1259960.0629982
2220.9264360.1471270.0735635
2230.9231120.1537760.0768882
2240.9109760.1780490.0890244
2250.8998990.2002020.100101
2260.8792940.2414120.120706
2270.8557350.2885290.144265
2280.8388490.3223020.161151
2290.859330.281340.14067
2300.8333470.3333050.166653
2310.83550.3290010.1645
2320.8200140.3599720.179986
2330.8746190.2507620.125381
2340.8914590.2170820.108541
2350.9007740.1984510.0992257
2360.8870010.2259980.112999
2370.8998060.2003870.100194
2380.9223910.1552180.0776091
2390.9052470.1895050.0947525
2400.8879220.2241560.112078
2410.881410.237180.11859
2420.8768190.2463610.123181
2430.9548170.09036530.0451826
2440.9505210.09895740.0494787
2450.9517280.09654370.0482719
2460.9389450.1221110.0610554
2470.9212040.1575910.0787955
2480.9085310.1829390.0914693
2490.8892960.2214090.110704
2500.8793070.2413860.120693
2510.8679180.2641640.132082
2520.9269160.1461670.0730836
2530.9043660.1912690.0956343
2540.8805720.2388570.119428
2550.8532070.2935850.146793
2560.8218520.3562960.178148
2570.7803290.4393420.219671
2580.7305240.5389520.269476
2590.6877650.624470.312235
2600.6873440.6253120.312656
2610.6264630.7470730.373537
2620.5644540.8710930.435546
2630.6190970.7618070.380903
2640.5553130.8893730.444687
2650.5553320.8893360.444668
2660.9255260.1489480.074474
2670.8919240.2161520.108076
2680.9958830.008233510.00411675
2690.9980030.003993580.00199679
2700.9981910.003618540.00180927
2710.9998460.0003073510.000153675
2720.9995320.000935370.000467685
2730.9991180.001763720.000881861
2740.9981840.003631680.00181584
2750.9981870.0036260.001813
2760.9947340.01053210.00526606
2770.991060.01787970.00893984
2780.9648520.0702950.0351475
2790.9670030.06599440.0329972

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
8 & 0.941222 & 0.117556 & 0.0587782 \tabularnewline
9 & 0.88995 & 0.2201 & 0.11005 \tabularnewline
10 & 0.833854 & 0.332292 & 0.166146 \tabularnewline
11 & 0.860147 & 0.279705 & 0.139853 \tabularnewline
12 & 0.797199 & 0.405601 & 0.202801 \tabularnewline
13 & 0.840506 & 0.318988 & 0.159494 \tabularnewline
14 & 0.778562 & 0.442877 & 0.221438 \tabularnewline
15 & 0.706461 & 0.587078 & 0.293539 \tabularnewline
16 & 0.663643 & 0.672714 & 0.336357 \tabularnewline
17 & 0.664546 & 0.670907 & 0.335454 \tabularnewline
18 & 0.598154 & 0.803692 & 0.401846 \tabularnewline
19 & 0.524389 & 0.951221 & 0.475611 \tabularnewline
20 & 0.455226 & 0.910451 & 0.544774 \tabularnewline
21 & 0.383062 & 0.766124 & 0.616938 \tabularnewline
22 & 0.427745 & 0.85549 & 0.572255 \tabularnewline
23 & 0.380377 & 0.760754 & 0.619623 \tabularnewline
24 & 0.321244 & 0.642488 & 0.678756 \tabularnewline
25 & 0.273712 & 0.547424 & 0.726288 \tabularnewline
26 & 0.224948 & 0.449897 & 0.775052 \tabularnewline
27 & 0.189847 & 0.379695 & 0.810153 \tabularnewline
28 & 0.154892 & 0.309784 & 0.845108 \tabularnewline
29 & 0.212867 & 0.425734 & 0.787133 \tabularnewline
30 & 0.179379 & 0.358758 & 0.820621 \tabularnewline
31 & 0.16437 & 0.32874 & 0.83563 \tabularnewline
32 & 0.139556 & 0.279113 & 0.860444 \tabularnewline
33 & 0.137055 & 0.274111 & 0.862945 \tabularnewline
34 & 0.18939 & 0.378781 & 0.81061 \tabularnewline
35 & 0.160265 & 0.320531 & 0.839735 \tabularnewline
36 & 0.183437 & 0.366874 & 0.816563 \tabularnewline
37 & 0.155016 & 0.310032 & 0.844984 \tabularnewline
38 & 0.127807 & 0.255614 & 0.872193 \tabularnewline
39 & 0.106753 & 0.213505 & 0.893247 \tabularnewline
40 & 0.112963 & 0.225925 & 0.887037 \tabularnewline
41 & 0.132891 & 0.265781 & 0.867109 \tabularnewline
42 & 0.119085 & 0.238169 & 0.880915 \tabularnewline
43 & 0.165332 & 0.330664 & 0.834668 \tabularnewline
44 & 0.1423 & 0.2846 & 0.8577 \tabularnewline
45 & 0.129843 & 0.259687 & 0.870157 \tabularnewline
46 & 0.112984 & 0.225968 & 0.887016 \tabularnewline
47 & 0.120617 & 0.241233 & 0.879383 \tabularnewline
48 & 0.102892 & 0.205784 & 0.897108 \tabularnewline
49 & 0.0884946 & 0.176989 & 0.911505 \tabularnewline
50 & 0.109124 & 0.218249 & 0.890876 \tabularnewline
51 & 0.119619 & 0.239239 & 0.880381 \tabularnewline
52 & 0.122535 & 0.245069 & 0.877465 \tabularnewline
53 & 0.107417 & 0.214835 & 0.892583 \tabularnewline
54 & 0.111676 & 0.223352 & 0.888324 \tabularnewline
55 & 0.103308 & 0.206616 & 0.896692 \tabularnewline
56 & 0.102365 & 0.20473 & 0.897635 \tabularnewline
57 & 0.100877 & 0.201753 & 0.899123 \tabularnewline
58 & 0.0884246 & 0.176849 & 0.911575 \tabularnewline
59 & 0.142752 & 0.285505 & 0.857248 \tabularnewline
60 & 0.175332 & 0.350663 & 0.824668 \tabularnewline
61 & 0.150886 & 0.301771 & 0.849114 \tabularnewline
62 & 0.16068 & 0.32136 & 0.83932 \tabularnewline
63 & 0.166422 & 0.332843 & 0.833578 \tabularnewline
64 & 0.157242 & 0.314483 & 0.842758 \tabularnewline
65 & 0.159588 & 0.319175 & 0.840412 \tabularnewline
66 & 0.202152 & 0.404304 & 0.797848 \tabularnewline
67 & 0.196479 & 0.392958 & 0.803521 \tabularnewline
68 & 0.171848 & 0.343697 & 0.828152 \tabularnewline
69 & 0.171454 & 0.342908 & 0.828546 \tabularnewline
70 & 0.159292 & 0.318583 & 0.840708 \tabularnewline
71 & 0.164019 & 0.328038 & 0.835981 \tabularnewline
72 & 0.152813 & 0.305626 & 0.847187 \tabularnewline
73 & 0.138571 & 0.277142 & 0.861429 \tabularnewline
74 & 0.12334 & 0.24668 & 0.87666 \tabularnewline
75 & 0.110548 & 0.221097 & 0.889452 \tabularnewline
76 & 0.117421 & 0.234842 & 0.882579 \tabularnewline
77 & 0.199782 & 0.399565 & 0.800218 \tabularnewline
78 & 0.189577 & 0.379154 & 0.810423 \tabularnewline
79 & 0.179444 & 0.358888 & 0.820556 \tabularnewline
80 & 0.172212 & 0.344424 & 0.827788 \tabularnewline
81 & 0.170971 & 0.341942 & 0.829029 \tabularnewline
82 & 0.14985 & 0.299699 & 0.85015 \tabularnewline
83 & 0.177874 & 0.355747 & 0.822126 \tabularnewline
84 & 0.156011 & 0.312022 & 0.843989 \tabularnewline
85 & 0.17378 & 0.347559 & 0.82622 \tabularnewline
86 & 0.15377 & 0.30754 & 0.84623 \tabularnewline
87 & 0.268151 & 0.536302 & 0.731849 \tabularnewline
88 & 0.249885 & 0.499769 & 0.750115 \tabularnewline
89 & 0.226642 & 0.453284 & 0.773358 \tabularnewline
90 & 0.20152 & 0.40304 & 0.79848 \tabularnewline
91 & 0.179534 & 0.359068 & 0.820466 \tabularnewline
92 & 0.169908 & 0.339817 & 0.830092 \tabularnewline
93 & 0.179013 & 0.358025 & 0.820987 \tabularnewline
94 & 0.187883 & 0.375766 & 0.812117 \tabularnewline
95 & 0.280071 & 0.560141 & 0.719929 \tabularnewline
96 & 0.281651 & 0.563303 & 0.718349 \tabularnewline
97 & 0.276202 & 0.552404 & 0.723798 \tabularnewline
98 & 0.298267 & 0.596533 & 0.701733 \tabularnewline
99 & 0.292354 & 0.584707 & 0.707646 \tabularnewline
100 & 0.37466 & 0.749321 & 0.62534 \tabularnewline
101 & 0.35938 & 0.718759 & 0.64062 \tabularnewline
102 & 0.405306 & 0.810612 & 0.594694 \tabularnewline
103 & 0.463247 & 0.926493 & 0.536753 \tabularnewline
104 & 0.435836 & 0.871672 & 0.564164 \tabularnewline
105 & 0.419745 & 0.83949 & 0.580255 \tabularnewline
106 & 0.422276 & 0.844552 & 0.577724 \tabularnewline
107 & 0.440102 & 0.880204 & 0.559898 \tabularnewline
108 & 0.472588 & 0.945176 & 0.527412 \tabularnewline
109 & 0.499071 & 0.998142 & 0.500929 \tabularnewline
110 & 0.517317 & 0.965366 & 0.482683 \tabularnewline
111 & 0.717241 & 0.565518 & 0.282759 \tabularnewline
112 & 0.756461 & 0.487078 & 0.243539 \tabularnewline
113 & 0.764834 & 0.470332 & 0.235166 \tabularnewline
114 & 0.761159 & 0.477682 & 0.238841 \tabularnewline
115 & 0.751289 & 0.497421 & 0.248711 \tabularnewline
116 & 0.862151 & 0.275698 & 0.137849 \tabularnewline
117 & 0.857049 & 0.285901 & 0.142951 \tabularnewline
118 & 0.91881 & 0.16238 & 0.08119 \tabularnewline
119 & 0.94422 & 0.11156 & 0.0557799 \tabularnewline
120 & 0.937845 & 0.124311 & 0.0621554 \tabularnewline
121 & 0.943222 & 0.113556 & 0.0567778 \tabularnewline
122 & 0.939896 & 0.120209 & 0.0601043 \tabularnewline
123 & 0.951931 & 0.0961371 & 0.0480686 \tabularnewline
124 & 0.960794 & 0.0784117 & 0.0392059 \tabularnewline
125 & 0.966659 & 0.0666815 & 0.0333407 \tabularnewline
126 & 0.967994 & 0.0640124 & 0.0320062 \tabularnewline
127 & 0.980335 & 0.0393302 & 0.0196651 \tabularnewline
128 & 0.98345 & 0.0331007 & 0.0165503 \tabularnewline
129 & 0.980532 & 0.0389363 & 0.0194682 \tabularnewline
130 & 0.979987 & 0.0400255 & 0.0200128 \tabularnewline
131 & 0.981111 & 0.0377787 & 0.0188894 \tabularnewline
132 & 0.984084 & 0.0318322 & 0.0159161 \tabularnewline
133 & 0.983263 & 0.0334732 & 0.0167366 \tabularnewline
134 & 0.984465 & 0.0310696 & 0.0155348 \tabularnewline
135 & 0.983682 & 0.032637 & 0.0163185 \tabularnewline
136 & 0.981743 & 0.0365131 & 0.0182566 \tabularnewline
137 & 0.978555 & 0.0428896 & 0.0214448 \tabularnewline
138 & 0.974267 & 0.0514665 & 0.0257333 \tabularnewline
139 & 0.969971 & 0.0600571 & 0.0300286 \tabularnewline
140 & 0.97913 & 0.0417408 & 0.0208704 \tabularnewline
141 & 0.979039 & 0.0419226 & 0.0209613 \tabularnewline
142 & 0.9769 & 0.0461994 & 0.0230997 \tabularnewline
143 & 0.972464 & 0.0550719 & 0.027536 \tabularnewline
144 & 0.967464 & 0.0650721 & 0.0325361 \tabularnewline
145 & 0.983128 & 0.0337447 & 0.0168724 \tabularnewline
146 & 0.982584 & 0.0348312 & 0.0174156 \tabularnewline
147 & 0.982504 & 0.0349913 & 0.0174957 \tabularnewline
148 & 0.981356 & 0.0372886 & 0.0186443 \tabularnewline
149 & 0.979034 & 0.0419312 & 0.0209656 \tabularnewline
150 & 0.979725 & 0.0405504 & 0.0202752 \tabularnewline
151 & 0.97629 & 0.0474208 & 0.0237104 \tabularnewline
152 & 0.974706 & 0.0505881 & 0.0252941 \tabularnewline
153 & 0.970424 & 0.0591524 & 0.0295762 \tabularnewline
154 & 0.966753 & 0.0664937 & 0.0332469 \tabularnewline
155 & 0.965211 & 0.0695784 & 0.0347892 \tabularnewline
156 & 0.987845 & 0.0243096 & 0.0121548 \tabularnewline
157 & 0.986609 & 0.0267817 & 0.0133908 \tabularnewline
158 & 0.986938 & 0.0261231 & 0.0130615 \tabularnewline
159 & 0.984056 & 0.0318875 & 0.0159437 \tabularnewline
160 & 0.984554 & 0.0308922 & 0.0154461 \tabularnewline
161 & 0.981301 & 0.037399 & 0.0186995 \tabularnewline
162 & 0.980717 & 0.0385664 & 0.0192832 \tabularnewline
163 & 0.977379 & 0.0452427 & 0.0226214 \tabularnewline
164 & 0.975764 & 0.0484726 & 0.0242363 \tabularnewline
165 & 0.97118 & 0.0576407 & 0.0288203 \tabularnewline
166 & 0.981072 & 0.0378551 & 0.0189276 \tabularnewline
167 & 0.977932 & 0.0441363 & 0.0220682 \tabularnewline
168 & 0.977989 & 0.0440224 & 0.0220112 \tabularnewline
169 & 0.995584 & 0.00883266 & 0.00441633 \tabularnewline
170 & 0.996587 & 0.00682511 & 0.00341255 \tabularnewline
171 & 0.995607 & 0.00878567 & 0.00439284 \tabularnewline
172 & 0.995537 & 0.00892532 & 0.00446266 \tabularnewline
173 & 0.997066 & 0.00586764 & 0.00293382 \tabularnewline
174 & 0.996198 & 0.00760321 & 0.0038016 \tabularnewline
175 & 0.996406 & 0.00718742 & 0.00359371 \tabularnewline
176 & 0.99565 & 0.00870025 & 0.00435012 \tabularnewline
177 & 0.997025 & 0.00595039 & 0.0029752 \tabularnewline
178 & 0.996719 & 0.00656243 & 0.00328122 \tabularnewline
179 & 0.995886 & 0.008227 & 0.0041135 \tabularnewline
180 & 0.994907 & 0.0101859 & 0.00509295 \tabularnewline
181 & 0.99577 & 0.00845958 & 0.00422979 \tabularnewline
182 & 0.995244 & 0.00951116 & 0.00475558 \tabularnewline
183 & 0.995156 & 0.00968811 & 0.00484406 \tabularnewline
184 & 0.994559 & 0.0108824 & 0.00544119 \tabularnewline
185 & 0.995924 & 0.0081525 & 0.00407625 \tabularnewline
186 & 0.995566 & 0.00886713 & 0.00443356 \tabularnewline
187 & 0.994442 & 0.011116 & 0.00555802 \tabularnewline
188 & 0.993514 & 0.0129724 & 0.00648621 \tabularnewline
189 & 0.991913 & 0.0161737 & 0.00808687 \tabularnewline
190 & 0.991497 & 0.0170062 & 0.0085031 \tabularnewline
191 & 0.989998 & 0.0200034 & 0.0100017 \tabularnewline
192 & 0.994556 & 0.0108872 & 0.0054436 \tabularnewline
193 & 0.993339 & 0.0133225 & 0.00666127 \tabularnewline
194 & 0.992058 & 0.0158834 & 0.0079417 \tabularnewline
195 & 0.989834 & 0.0203324 & 0.0101662 \tabularnewline
196 & 0.987499 & 0.0250014 & 0.0125007 \tabularnewline
197 & 0.985494 & 0.0290119 & 0.014506 \tabularnewline
198 & 0.983643 & 0.0327144 & 0.0163572 \tabularnewline
199 & 0.989677 & 0.0206455 & 0.0103228 \tabularnewline
200 & 0.987553 & 0.0248936 & 0.0124468 \tabularnewline
201 & 0.985605 & 0.0287896 & 0.0143948 \tabularnewline
202 & 0.985685 & 0.0286294 & 0.0143147 \tabularnewline
203 & 0.981838 & 0.0363246 & 0.0181623 \tabularnewline
204 & 0.984473 & 0.0310548 & 0.0155274 \tabularnewline
205 & 0.984 & 0.0319995 & 0.0159997 \tabularnewline
206 & 0.981581 & 0.0368384 & 0.0184192 \tabularnewline
207 & 0.980139 & 0.039723 & 0.0198615 \tabularnewline
208 & 0.977777 & 0.0444461 & 0.022223 \tabularnewline
209 & 0.972555 & 0.0548903 & 0.0274452 \tabularnewline
210 & 0.966394 & 0.0672114 & 0.0336057 \tabularnewline
211 & 0.973883 & 0.0522349 & 0.0261175 \tabularnewline
212 & 0.971647 & 0.0567063 & 0.0283532 \tabularnewline
213 & 0.969854 & 0.0602922 & 0.0301461 \tabularnewline
214 & 0.962604 & 0.0747916 & 0.0373958 \tabularnewline
215 & 0.958654 & 0.0826922 & 0.0413461 \tabularnewline
216 & 0.954634 & 0.0907312 & 0.0453656 \tabularnewline
217 & 0.945586 & 0.108829 & 0.0544143 \tabularnewline
218 & 0.936168 & 0.127664 & 0.0638321 \tabularnewline
219 & 0.948624 & 0.102752 & 0.051376 \tabularnewline
220 & 0.940243 & 0.119514 & 0.0597571 \tabularnewline
221 & 0.937002 & 0.125996 & 0.0629982 \tabularnewline
222 & 0.926436 & 0.147127 & 0.0735635 \tabularnewline
223 & 0.923112 & 0.153776 & 0.0768882 \tabularnewline
224 & 0.910976 & 0.178049 & 0.0890244 \tabularnewline
225 & 0.899899 & 0.200202 & 0.100101 \tabularnewline
226 & 0.879294 & 0.241412 & 0.120706 \tabularnewline
227 & 0.855735 & 0.288529 & 0.144265 \tabularnewline
228 & 0.838849 & 0.322302 & 0.161151 \tabularnewline
229 & 0.85933 & 0.28134 & 0.14067 \tabularnewline
230 & 0.833347 & 0.333305 & 0.166653 \tabularnewline
231 & 0.8355 & 0.329001 & 0.1645 \tabularnewline
232 & 0.820014 & 0.359972 & 0.179986 \tabularnewline
233 & 0.874619 & 0.250762 & 0.125381 \tabularnewline
234 & 0.891459 & 0.217082 & 0.108541 \tabularnewline
235 & 0.900774 & 0.198451 & 0.0992257 \tabularnewline
236 & 0.887001 & 0.225998 & 0.112999 \tabularnewline
237 & 0.899806 & 0.200387 & 0.100194 \tabularnewline
238 & 0.922391 & 0.155218 & 0.0776091 \tabularnewline
239 & 0.905247 & 0.189505 & 0.0947525 \tabularnewline
240 & 0.887922 & 0.224156 & 0.112078 \tabularnewline
241 & 0.88141 & 0.23718 & 0.11859 \tabularnewline
242 & 0.876819 & 0.246361 & 0.123181 \tabularnewline
243 & 0.954817 & 0.0903653 & 0.0451826 \tabularnewline
244 & 0.950521 & 0.0989574 & 0.0494787 \tabularnewline
245 & 0.951728 & 0.0965437 & 0.0482719 \tabularnewline
246 & 0.938945 & 0.122111 & 0.0610554 \tabularnewline
247 & 0.921204 & 0.157591 & 0.0787955 \tabularnewline
248 & 0.908531 & 0.182939 & 0.0914693 \tabularnewline
249 & 0.889296 & 0.221409 & 0.110704 \tabularnewline
250 & 0.879307 & 0.241386 & 0.120693 \tabularnewline
251 & 0.867918 & 0.264164 & 0.132082 \tabularnewline
252 & 0.926916 & 0.146167 & 0.0730836 \tabularnewline
253 & 0.904366 & 0.191269 & 0.0956343 \tabularnewline
254 & 0.880572 & 0.238857 & 0.119428 \tabularnewline
255 & 0.853207 & 0.293585 & 0.146793 \tabularnewline
256 & 0.821852 & 0.356296 & 0.178148 \tabularnewline
257 & 0.780329 & 0.439342 & 0.219671 \tabularnewline
258 & 0.730524 & 0.538952 & 0.269476 \tabularnewline
259 & 0.687765 & 0.62447 & 0.312235 \tabularnewline
260 & 0.687344 & 0.625312 & 0.312656 \tabularnewline
261 & 0.626463 & 0.747073 & 0.373537 \tabularnewline
262 & 0.564454 & 0.871093 & 0.435546 \tabularnewline
263 & 0.619097 & 0.761807 & 0.380903 \tabularnewline
264 & 0.555313 & 0.889373 & 0.444687 \tabularnewline
265 & 0.555332 & 0.889336 & 0.444668 \tabularnewline
266 & 0.925526 & 0.148948 & 0.074474 \tabularnewline
267 & 0.891924 & 0.216152 & 0.108076 \tabularnewline
268 & 0.995883 & 0.00823351 & 0.00411675 \tabularnewline
269 & 0.998003 & 0.00399358 & 0.00199679 \tabularnewline
270 & 0.998191 & 0.00361854 & 0.00180927 \tabularnewline
271 & 0.999846 & 0.000307351 & 0.000153675 \tabularnewline
272 & 0.999532 & 0.00093537 & 0.000467685 \tabularnewline
273 & 0.999118 & 0.00176372 & 0.000881861 \tabularnewline
274 & 0.998184 & 0.00363168 & 0.00181584 \tabularnewline
275 & 0.998187 & 0.003626 & 0.001813 \tabularnewline
276 & 0.994734 & 0.0105321 & 0.00526606 \tabularnewline
277 & 0.99106 & 0.0178797 & 0.00893984 \tabularnewline
278 & 0.964852 & 0.070295 & 0.0351475 \tabularnewline
279 & 0.967003 & 0.0659944 & 0.0329972 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268730&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]8[/C][C]0.941222[/C][C]0.117556[/C][C]0.0587782[/C][/ROW]
[ROW][C]9[/C][C]0.88995[/C][C]0.2201[/C][C]0.11005[/C][/ROW]
[ROW][C]10[/C][C]0.833854[/C][C]0.332292[/C][C]0.166146[/C][/ROW]
[ROW][C]11[/C][C]0.860147[/C][C]0.279705[/C][C]0.139853[/C][/ROW]
[ROW][C]12[/C][C]0.797199[/C][C]0.405601[/C][C]0.202801[/C][/ROW]
[ROW][C]13[/C][C]0.840506[/C][C]0.318988[/C][C]0.159494[/C][/ROW]
[ROW][C]14[/C][C]0.778562[/C][C]0.442877[/C][C]0.221438[/C][/ROW]
[ROW][C]15[/C][C]0.706461[/C][C]0.587078[/C][C]0.293539[/C][/ROW]
[ROW][C]16[/C][C]0.663643[/C][C]0.672714[/C][C]0.336357[/C][/ROW]
[ROW][C]17[/C][C]0.664546[/C][C]0.670907[/C][C]0.335454[/C][/ROW]
[ROW][C]18[/C][C]0.598154[/C][C]0.803692[/C][C]0.401846[/C][/ROW]
[ROW][C]19[/C][C]0.524389[/C][C]0.951221[/C][C]0.475611[/C][/ROW]
[ROW][C]20[/C][C]0.455226[/C][C]0.910451[/C][C]0.544774[/C][/ROW]
[ROW][C]21[/C][C]0.383062[/C][C]0.766124[/C][C]0.616938[/C][/ROW]
[ROW][C]22[/C][C]0.427745[/C][C]0.85549[/C][C]0.572255[/C][/ROW]
[ROW][C]23[/C][C]0.380377[/C][C]0.760754[/C][C]0.619623[/C][/ROW]
[ROW][C]24[/C][C]0.321244[/C][C]0.642488[/C][C]0.678756[/C][/ROW]
[ROW][C]25[/C][C]0.273712[/C][C]0.547424[/C][C]0.726288[/C][/ROW]
[ROW][C]26[/C][C]0.224948[/C][C]0.449897[/C][C]0.775052[/C][/ROW]
[ROW][C]27[/C][C]0.189847[/C][C]0.379695[/C][C]0.810153[/C][/ROW]
[ROW][C]28[/C][C]0.154892[/C][C]0.309784[/C][C]0.845108[/C][/ROW]
[ROW][C]29[/C][C]0.212867[/C][C]0.425734[/C][C]0.787133[/C][/ROW]
[ROW][C]30[/C][C]0.179379[/C][C]0.358758[/C][C]0.820621[/C][/ROW]
[ROW][C]31[/C][C]0.16437[/C][C]0.32874[/C][C]0.83563[/C][/ROW]
[ROW][C]32[/C][C]0.139556[/C][C]0.279113[/C][C]0.860444[/C][/ROW]
[ROW][C]33[/C][C]0.137055[/C][C]0.274111[/C][C]0.862945[/C][/ROW]
[ROW][C]34[/C][C]0.18939[/C][C]0.378781[/C][C]0.81061[/C][/ROW]
[ROW][C]35[/C][C]0.160265[/C][C]0.320531[/C][C]0.839735[/C][/ROW]
[ROW][C]36[/C][C]0.183437[/C][C]0.366874[/C][C]0.816563[/C][/ROW]
[ROW][C]37[/C][C]0.155016[/C][C]0.310032[/C][C]0.844984[/C][/ROW]
[ROW][C]38[/C][C]0.127807[/C][C]0.255614[/C][C]0.872193[/C][/ROW]
[ROW][C]39[/C][C]0.106753[/C][C]0.213505[/C][C]0.893247[/C][/ROW]
[ROW][C]40[/C][C]0.112963[/C][C]0.225925[/C][C]0.887037[/C][/ROW]
[ROW][C]41[/C][C]0.132891[/C][C]0.265781[/C][C]0.867109[/C][/ROW]
[ROW][C]42[/C][C]0.119085[/C][C]0.238169[/C][C]0.880915[/C][/ROW]
[ROW][C]43[/C][C]0.165332[/C][C]0.330664[/C][C]0.834668[/C][/ROW]
[ROW][C]44[/C][C]0.1423[/C][C]0.2846[/C][C]0.8577[/C][/ROW]
[ROW][C]45[/C][C]0.129843[/C][C]0.259687[/C][C]0.870157[/C][/ROW]
[ROW][C]46[/C][C]0.112984[/C][C]0.225968[/C][C]0.887016[/C][/ROW]
[ROW][C]47[/C][C]0.120617[/C][C]0.241233[/C][C]0.879383[/C][/ROW]
[ROW][C]48[/C][C]0.102892[/C][C]0.205784[/C][C]0.897108[/C][/ROW]
[ROW][C]49[/C][C]0.0884946[/C][C]0.176989[/C][C]0.911505[/C][/ROW]
[ROW][C]50[/C][C]0.109124[/C][C]0.218249[/C][C]0.890876[/C][/ROW]
[ROW][C]51[/C][C]0.119619[/C][C]0.239239[/C][C]0.880381[/C][/ROW]
[ROW][C]52[/C][C]0.122535[/C][C]0.245069[/C][C]0.877465[/C][/ROW]
[ROW][C]53[/C][C]0.107417[/C][C]0.214835[/C][C]0.892583[/C][/ROW]
[ROW][C]54[/C][C]0.111676[/C][C]0.223352[/C][C]0.888324[/C][/ROW]
[ROW][C]55[/C][C]0.103308[/C][C]0.206616[/C][C]0.896692[/C][/ROW]
[ROW][C]56[/C][C]0.102365[/C][C]0.20473[/C][C]0.897635[/C][/ROW]
[ROW][C]57[/C][C]0.100877[/C][C]0.201753[/C][C]0.899123[/C][/ROW]
[ROW][C]58[/C][C]0.0884246[/C][C]0.176849[/C][C]0.911575[/C][/ROW]
[ROW][C]59[/C][C]0.142752[/C][C]0.285505[/C][C]0.857248[/C][/ROW]
[ROW][C]60[/C][C]0.175332[/C][C]0.350663[/C][C]0.824668[/C][/ROW]
[ROW][C]61[/C][C]0.150886[/C][C]0.301771[/C][C]0.849114[/C][/ROW]
[ROW][C]62[/C][C]0.16068[/C][C]0.32136[/C][C]0.83932[/C][/ROW]
[ROW][C]63[/C][C]0.166422[/C][C]0.332843[/C][C]0.833578[/C][/ROW]
[ROW][C]64[/C][C]0.157242[/C][C]0.314483[/C][C]0.842758[/C][/ROW]
[ROW][C]65[/C][C]0.159588[/C][C]0.319175[/C][C]0.840412[/C][/ROW]
[ROW][C]66[/C][C]0.202152[/C][C]0.404304[/C][C]0.797848[/C][/ROW]
[ROW][C]67[/C][C]0.196479[/C][C]0.392958[/C][C]0.803521[/C][/ROW]
[ROW][C]68[/C][C]0.171848[/C][C]0.343697[/C][C]0.828152[/C][/ROW]
[ROW][C]69[/C][C]0.171454[/C][C]0.342908[/C][C]0.828546[/C][/ROW]
[ROW][C]70[/C][C]0.159292[/C][C]0.318583[/C][C]0.840708[/C][/ROW]
[ROW][C]71[/C][C]0.164019[/C][C]0.328038[/C][C]0.835981[/C][/ROW]
[ROW][C]72[/C][C]0.152813[/C][C]0.305626[/C][C]0.847187[/C][/ROW]
[ROW][C]73[/C][C]0.138571[/C][C]0.277142[/C][C]0.861429[/C][/ROW]
[ROW][C]74[/C][C]0.12334[/C][C]0.24668[/C][C]0.87666[/C][/ROW]
[ROW][C]75[/C][C]0.110548[/C][C]0.221097[/C][C]0.889452[/C][/ROW]
[ROW][C]76[/C][C]0.117421[/C][C]0.234842[/C][C]0.882579[/C][/ROW]
[ROW][C]77[/C][C]0.199782[/C][C]0.399565[/C][C]0.800218[/C][/ROW]
[ROW][C]78[/C][C]0.189577[/C][C]0.379154[/C][C]0.810423[/C][/ROW]
[ROW][C]79[/C][C]0.179444[/C][C]0.358888[/C][C]0.820556[/C][/ROW]
[ROW][C]80[/C][C]0.172212[/C][C]0.344424[/C][C]0.827788[/C][/ROW]
[ROW][C]81[/C][C]0.170971[/C][C]0.341942[/C][C]0.829029[/C][/ROW]
[ROW][C]82[/C][C]0.14985[/C][C]0.299699[/C][C]0.85015[/C][/ROW]
[ROW][C]83[/C][C]0.177874[/C][C]0.355747[/C][C]0.822126[/C][/ROW]
[ROW][C]84[/C][C]0.156011[/C][C]0.312022[/C][C]0.843989[/C][/ROW]
[ROW][C]85[/C][C]0.17378[/C][C]0.347559[/C][C]0.82622[/C][/ROW]
[ROW][C]86[/C][C]0.15377[/C][C]0.30754[/C][C]0.84623[/C][/ROW]
[ROW][C]87[/C][C]0.268151[/C][C]0.536302[/C][C]0.731849[/C][/ROW]
[ROW][C]88[/C][C]0.249885[/C][C]0.499769[/C][C]0.750115[/C][/ROW]
[ROW][C]89[/C][C]0.226642[/C][C]0.453284[/C][C]0.773358[/C][/ROW]
[ROW][C]90[/C][C]0.20152[/C][C]0.40304[/C][C]0.79848[/C][/ROW]
[ROW][C]91[/C][C]0.179534[/C][C]0.359068[/C][C]0.820466[/C][/ROW]
[ROW][C]92[/C][C]0.169908[/C][C]0.339817[/C][C]0.830092[/C][/ROW]
[ROW][C]93[/C][C]0.179013[/C][C]0.358025[/C][C]0.820987[/C][/ROW]
[ROW][C]94[/C][C]0.187883[/C][C]0.375766[/C][C]0.812117[/C][/ROW]
[ROW][C]95[/C][C]0.280071[/C][C]0.560141[/C][C]0.719929[/C][/ROW]
[ROW][C]96[/C][C]0.281651[/C][C]0.563303[/C][C]0.718349[/C][/ROW]
[ROW][C]97[/C][C]0.276202[/C][C]0.552404[/C][C]0.723798[/C][/ROW]
[ROW][C]98[/C][C]0.298267[/C][C]0.596533[/C][C]0.701733[/C][/ROW]
[ROW][C]99[/C][C]0.292354[/C][C]0.584707[/C][C]0.707646[/C][/ROW]
[ROW][C]100[/C][C]0.37466[/C][C]0.749321[/C][C]0.62534[/C][/ROW]
[ROW][C]101[/C][C]0.35938[/C][C]0.718759[/C][C]0.64062[/C][/ROW]
[ROW][C]102[/C][C]0.405306[/C][C]0.810612[/C][C]0.594694[/C][/ROW]
[ROW][C]103[/C][C]0.463247[/C][C]0.926493[/C][C]0.536753[/C][/ROW]
[ROW][C]104[/C][C]0.435836[/C][C]0.871672[/C][C]0.564164[/C][/ROW]
[ROW][C]105[/C][C]0.419745[/C][C]0.83949[/C][C]0.580255[/C][/ROW]
[ROW][C]106[/C][C]0.422276[/C][C]0.844552[/C][C]0.577724[/C][/ROW]
[ROW][C]107[/C][C]0.440102[/C][C]0.880204[/C][C]0.559898[/C][/ROW]
[ROW][C]108[/C][C]0.472588[/C][C]0.945176[/C][C]0.527412[/C][/ROW]
[ROW][C]109[/C][C]0.499071[/C][C]0.998142[/C][C]0.500929[/C][/ROW]
[ROW][C]110[/C][C]0.517317[/C][C]0.965366[/C][C]0.482683[/C][/ROW]
[ROW][C]111[/C][C]0.717241[/C][C]0.565518[/C][C]0.282759[/C][/ROW]
[ROW][C]112[/C][C]0.756461[/C][C]0.487078[/C][C]0.243539[/C][/ROW]
[ROW][C]113[/C][C]0.764834[/C][C]0.470332[/C][C]0.235166[/C][/ROW]
[ROW][C]114[/C][C]0.761159[/C][C]0.477682[/C][C]0.238841[/C][/ROW]
[ROW][C]115[/C][C]0.751289[/C][C]0.497421[/C][C]0.248711[/C][/ROW]
[ROW][C]116[/C][C]0.862151[/C][C]0.275698[/C][C]0.137849[/C][/ROW]
[ROW][C]117[/C][C]0.857049[/C][C]0.285901[/C][C]0.142951[/C][/ROW]
[ROW][C]118[/C][C]0.91881[/C][C]0.16238[/C][C]0.08119[/C][/ROW]
[ROW][C]119[/C][C]0.94422[/C][C]0.11156[/C][C]0.0557799[/C][/ROW]
[ROW][C]120[/C][C]0.937845[/C][C]0.124311[/C][C]0.0621554[/C][/ROW]
[ROW][C]121[/C][C]0.943222[/C][C]0.113556[/C][C]0.0567778[/C][/ROW]
[ROW][C]122[/C][C]0.939896[/C][C]0.120209[/C][C]0.0601043[/C][/ROW]
[ROW][C]123[/C][C]0.951931[/C][C]0.0961371[/C][C]0.0480686[/C][/ROW]
[ROW][C]124[/C][C]0.960794[/C][C]0.0784117[/C][C]0.0392059[/C][/ROW]
[ROW][C]125[/C][C]0.966659[/C][C]0.0666815[/C][C]0.0333407[/C][/ROW]
[ROW][C]126[/C][C]0.967994[/C][C]0.0640124[/C][C]0.0320062[/C][/ROW]
[ROW][C]127[/C][C]0.980335[/C][C]0.0393302[/C][C]0.0196651[/C][/ROW]
[ROW][C]128[/C][C]0.98345[/C][C]0.0331007[/C][C]0.0165503[/C][/ROW]
[ROW][C]129[/C][C]0.980532[/C][C]0.0389363[/C][C]0.0194682[/C][/ROW]
[ROW][C]130[/C][C]0.979987[/C][C]0.0400255[/C][C]0.0200128[/C][/ROW]
[ROW][C]131[/C][C]0.981111[/C][C]0.0377787[/C][C]0.0188894[/C][/ROW]
[ROW][C]132[/C][C]0.984084[/C][C]0.0318322[/C][C]0.0159161[/C][/ROW]
[ROW][C]133[/C][C]0.983263[/C][C]0.0334732[/C][C]0.0167366[/C][/ROW]
[ROW][C]134[/C][C]0.984465[/C][C]0.0310696[/C][C]0.0155348[/C][/ROW]
[ROW][C]135[/C][C]0.983682[/C][C]0.032637[/C][C]0.0163185[/C][/ROW]
[ROW][C]136[/C][C]0.981743[/C][C]0.0365131[/C][C]0.0182566[/C][/ROW]
[ROW][C]137[/C][C]0.978555[/C][C]0.0428896[/C][C]0.0214448[/C][/ROW]
[ROW][C]138[/C][C]0.974267[/C][C]0.0514665[/C][C]0.0257333[/C][/ROW]
[ROW][C]139[/C][C]0.969971[/C][C]0.0600571[/C][C]0.0300286[/C][/ROW]
[ROW][C]140[/C][C]0.97913[/C][C]0.0417408[/C][C]0.0208704[/C][/ROW]
[ROW][C]141[/C][C]0.979039[/C][C]0.0419226[/C][C]0.0209613[/C][/ROW]
[ROW][C]142[/C][C]0.9769[/C][C]0.0461994[/C][C]0.0230997[/C][/ROW]
[ROW][C]143[/C][C]0.972464[/C][C]0.0550719[/C][C]0.027536[/C][/ROW]
[ROW][C]144[/C][C]0.967464[/C][C]0.0650721[/C][C]0.0325361[/C][/ROW]
[ROW][C]145[/C][C]0.983128[/C][C]0.0337447[/C][C]0.0168724[/C][/ROW]
[ROW][C]146[/C][C]0.982584[/C][C]0.0348312[/C][C]0.0174156[/C][/ROW]
[ROW][C]147[/C][C]0.982504[/C][C]0.0349913[/C][C]0.0174957[/C][/ROW]
[ROW][C]148[/C][C]0.981356[/C][C]0.0372886[/C][C]0.0186443[/C][/ROW]
[ROW][C]149[/C][C]0.979034[/C][C]0.0419312[/C][C]0.0209656[/C][/ROW]
[ROW][C]150[/C][C]0.979725[/C][C]0.0405504[/C][C]0.0202752[/C][/ROW]
[ROW][C]151[/C][C]0.97629[/C][C]0.0474208[/C][C]0.0237104[/C][/ROW]
[ROW][C]152[/C][C]0.974706[/C][C]0.0505881[/C][C]0.0252941[/C][/ROW]
[ROW][C]153[/C][C]0.970424[/C][C]0.0591524[/C][C]0.0295762[/C][/ROW]
[ROW][C]154[/C][C]0.966753[/C][C]0.0664937[/C][C]0.0332469[/C][/ROW]
[ROW][C]155[/C][C]0.965211[/C][C]0.0695784[/C][C]0.0347892[/C][/ROW]
[ROW][C]156[/C][C]0.987845[/C][C]0.0243096[/C][C]0.0121548[/C][/ROW]
[ROW][C]157[/C][C]0.986609[/C][C]0.0267817[/C][C]0.0133908[/C][/ROW]
[ROW][C]158[/C][C]0.986938[/C][C]0.0261231[/C][C]0.0130615[/C][/ROW]
[ROW][C]159[/C][C]0.984056[/C][C]0.0318875[/C][C]0.0159437[/C][/ROW]
[ROW][C]160[/C][C]0.984554[/C][C]0.0308922[/C][C]0.0154461[/C][/ROW]
[ROW][C]161[/C][C]0.981301[/C][C]0.037399[/C][C]0.0186995[/C][/ROW]
[ROW][C]162[/C][C]0.980717[/C][C]0.0385664[/C][C]0.0192832[/C][/ROW]
[ROW][C]163[/C][C]0.977379[/C][C]0.0452427[/C][C]0.0226214[/C][/ROW]
[ROW][C]164[/C][C]0.975764[/C][C]0.0484726[/C][C]0.0242363[/C][/ROW]
[ROW][C]165[/C][C]0.97118[/C][C]0.0576407[/C][C]0.0288203[/C][/ROW]
[ROW][C]166[/C][C]0.981072[/C][C]0.0378551[/C][C]0.0189276[/C][/ROW]
[ROW][C]167[/C][C]0.977932[/C][C]0.0441363[/C][C]0.0220682[/C][/ROW]
[ROW][C]168[/C][C]0.977989[/C][C]0.0440224[/C][C]0.0220112[/C][/ROW]
[ROW][C]169[/C][C]0.995584[/C][C]0.00883266[/C][C]0.00441633[/C][/ROW]
[ROW][C]170[/C][C]0.996587[/C][C]0.00682511[/C][C]0.00341255[/C][/ROW]
[ROW][C]171[/C][C]0.995607[/C][C]0.00878567[/C][C]0.00439284[/C][/ROW]
[ROW][C]172[/C][C]0.995537[/C][C]0.00892532[/C][C]0.00446266[/C][/ROW]
[ROW][C]173[/C][C]0.997066[/C][C]0.00586764[/C][C]0.00293382[/C][/ROW]
[ROW][C]174[/C][C]0.996198[/C][C]0.00760321[/C][C]0.0038016[/C][/ROW]
[ROW][C]175[/C][C]0.996406[/C][C]0.00718742[/C][C]0.00359371[/C][/ROW]
[ROW][C]176[/C][C]0.99565[/C][C]0.00870025[/C][C]0.00435012[/C][/ROW]
[ROW][C]177[/C][C]0.997025[/C][C]0.00595039[/C][C]0.0029752[/C][/ROW]
[ROW][C]178[/C][C]0.996719[/C][C]0.00656243[/C][C]0.00328122[/C][/ROW]
[ROW][C]179[/C][C]0.995886[/C][C]0.008227[/C][C]0.0041135[/C][/ROW]
[ROW][C]180[/C][C]0.994907[/C][C]0.0101859[/C][C]0.00509295[/C][/ROW]
[ROW][C]181[/C][C]0.99577[/C][C]0.00845958[/C][C]0.00422979[/C][/ROW]
[ROW][C]182[/C][C]0.995244[/C][C]0.00951116[/C][C]0.00475558[/C][/ROW]
[ROW][C]183[/C][C]0.995156[/C][C]0.00968811[/C][C]0.00484406[/C][/ROW]
[ROW][C]184[/C][C]0.994559[/C][C]0.0108824[/C][C]0.00544119[/C][/ROW]
[ROW][C]185[/C][C]0.995924[/C][C]0.0081525[/C][C]0.00407625[/C][/ROW]
[ROW][C]186[/C][C]0.995566[/C][C]0.00886713[/C][C]0.00443356[/C][/ROW]
[ROW][C]187[/C][C]0.994442[/C][C]0.011116[/C][C]0.00555802[/C][/ROW]
[ROW][C]188[/C][C]0.993514[/C][C]0.0129724[/C][C]0.00648621[/C][/ROW]
[ROW][C]189[/C][C]0.991913[/C][C]0.0161737[/C][C]0.00808687[/C][/ROW]
[ROW][C]190[/C][C]0.991497[/C][C]0.0170062[/C][C]0.0085031[/C][/ROW]
[ROW][C]191[/C][C]0.989998[/C][C]0.0200034[/C][C]0.0100017[/C][/ROW]
[ROW][C]192[/C][C]0.994556[/C][C]0.0108872[/C][C]0.0054436[/C][/ROW]
[ROW][C]193[/C][C]0.993339[/C][C]0.0133225[/C][C]0.00666127[/C][/ROW]
[ROW][C]194[/C][C]0.992058[/C][C]0.0158834[/C][C]0.0079417[/C][/ROW]
[ROW][C]195[/C][C]0.989834[/C][C]0.0203324[/C][C]0.0101662[/C][/ROW]
[ROW][C]196[/C][C]0.987499[/C][C]0.0250014[/C][C]0.0125007[/C][/ROW]
[ROW][C]197[/C][C]0.985494[/C][C]0.0290119[/C][C]0.014506[/C][/ROW]
[ROW][C]198[/C][C]0.983643[/C][C]0.0327144[/C][C]0.0163572[/C][/ROW]
[ROW][C]199[/C][C]0.989677[/C][C]0.0206455[/C][C]0.0103228[/C][/ROW]
[ROW][C]200[/C][C]0.987553[/C][C]0.0248936[/C][C]0.0124468[/C][/ROW]
[ROW][C]201[/C][C]0.985605[/C][C]0.0287896[/C][C]0.0143948[/C][/ROW]
[ROW][C]202[/C][C]0.985685[/C][C]0.0286294[/C][C]0.0143147[/C][/ROW]
[ROW][C]203[/C][C]0.981838[/C][C]0.0363246[/C][C]0.0181623[/C][/ROW]
[ROW][C]204[/C][C]0.984473[/C][C]0.0310548[/C][C]0.0155274[/C][/ROW]
[ROW][C]205[/C][C]0.984[/C][C]0.0319995[/C][C]0.0159997[/C][/ROW]
[ROW][C]206[/C][C]0.981581[/C][C]0.0368384[/C][C]0.0184192[/C][/ROW]
[ROW][C]207[/C][C]0.980139[/C][C]0.039723[/C][C]0.0198615[/C][/ROW]
[ROW][C]208[/C][C]0.977777[/C][C]0.0444461[/C][C]0.022223[/C][/ROW]
[ROW][C]209[/C][C]0.972555[/C][C]0.0548903[/C][C]0.0274452[/C][/ROW]
[ROW][C]210[/C][C]0.966394[/C][C]0.0672114[/C][C]0.0336057[/C][/ROW]
[ROW][C]211[/C][C]0.973883[/C][C]0.0522349[/C][C]0.0261175[/C][/ROW]
[ROW][C]212[/C][C]0.971647[/C][C]0.0567063[/C][C]0.0283532[/C][/ROW]
[ROW][C]213[/C][C]0.969854[/C][C]0.0602922[/C][C]0.0301461[/C][/ROW]
[ROW][C]214[/C][C]0.962604[/C][C]0.0747916[/C][C]0.0373958[/C][/ROW]
[ROW][C]215[/C][C]0.958654[/C][C]0.0826922[/C][C]0.0413461[/C][/ROW]
[ROW][C]216[/C][C]0.954634[/C][C]0.0907312[/C][C]0.0453656[/C][/ROW]
[ROW][C]217[/C][C]0.945586[/C][C]0.108829[/C][C]0.0544143[/C][/ROW]
[ROW][C]218[/C][C]0.936168[/C][C]0.127664[/C][C]0.0638321[/C][/ROW]
[ROW][C]219[/C][C]0.948624[/C][C]0.102752[/C][C]0.051376[/C][/ROW]
[ROW][C]220[/C][C]0.940243[/C][C]0.119514[/C][C]0.0597571[/C][/ROW]
[ROW][C]221[/C][C]0.937002[/C][C]0.125996[/C][C]0.0629982[/C][/ROW]
[ROW][C]222[/C][C]0.926436[/C][C]0.147127[/C][C]0.0735635[/C][/ROW]
[ROW][C]223[/C][C]0.923112[/C][C]0.153776[/C][C]0.0768882[/C][/ROW]
[ROW][C]224[/C][C]0.910976[/C][C]0.178049[/C][C]0.0890244[/C][/ROW]
[ROW][C]225[/C][C]0.899899[/C][C]0.200202[/C][C]0.100101[/C][/ROW]
[ROW][C]226[/C][C]0.879294[/C][C]0.241412[/C][C]0.120706[/C][/ROW]
[ROW][C]227[/C][C]0.855735[/C][C]0.288529[/C][C]0.144265[/C][/ROW]
[ROW][C]228[/C][C]0.838849[/C][C]0.322302[/C][C]0.161151[/C][/ROW]
[ROW][C]229[/C][C]0.85933[/C][C]0.28134[/C][C]0.14067[/C][/ROW]
[ROW][C]230[/C][C]0.833347[/C][C]0.333305[/C][C]0.166653[/C][/ROW]
[ROW][C]231[/C][C]0.8355[/C][C]0.329001[/C][C]0.1645[/C][/ROW]
[ROW][C]232[/C][C]0.820014[/C][C]0.359972[/C][C]0.179986[/C][/ROW]
[ROW][C]233[/C][C]0.874619[/C][C]0.250762[/C][C]0.125381[/C][/ROW]
[ROW][C]234[/C][C]0.891459[/C][C]0.217082[/C][C]0.108541[/C][/ROW]
[ROW][C]235[/C][C]0.900774[/C][C]0.198451[/C][C]0.0992257[/C][/ROW]
[ROW][C]236[/C][C]0.887001[/C][C]0.225998[/C][C]0.112999[/C][/ROW]
[ROW][C]237[/C][C]0.899806[/C][C]0.200387[/C][C]0.100194[/C][/ROW]
[ROW][C]238[/C][C]0.922391[/C][C]0.155218[/C][C]0.0776091[/C][/ROW]
[ROW][C]239[/C][C]0.905247[/C][C]0.189505[/C][C]0.0947525[/C][/ROW]
[ROW][C]240[/C][C]0.887922[/C][C]0.224156[/C][C]0.112078[/C][/ROW]
[ROW][C]241[/C][C]0.88141[/C][C]0.23718[/C][C]0.11859[/C][/ROW]
[ROW][C]242[/C][C]0.876819[/C][C]0.246361[/C][C]0.123181[/C][/ROW]
[ROW][C]243[/C][C]0.954817[/C][C]0.0903653[/C][C]0.0451826[/C][/ROW]
[ROW][C]244[/C][C]0.950521[/C][C]0.0989574[/C][C]0.0494787[/C][/ROW]
[ROW][C]245[/C][C]0.951728[/C][C]0.0965437[/C][C]0.0482719[/C][/ROW]
[ROW][C]246[/C][C]0.938945[/C][C]0.122111[/C][C]0.0610554[/C][/ROW]
[ROW][C]247[/C][C]0.921204[/C][C]0.157591[/C][C]0.0787955[/C][/ROW]
[ROW][C]248[/C][C]0.908531[/C][C]0.182939[/C][C]0.0914693[/C][/ROW]
[ROW][C]249[/C][C]0.889296[/C][C]0.221409[/C][C]0.110704[/C][/ROW]
[ROW][C]250[/C][C]0.879307[/C][C]0.241386[/C][C]0.120693[/C][/ROW]
[ROW][C]251[/C][C]0.867918[/C][C]0.264164[/C][C]0.132082[/C][/ROW]
[ROW][C]252[/C][C]0.926916[/C][C]0.146167[/C][C]0.0730836[/C][/ROW]
[ROW][C]253[/C][C]0.904366[/C][C]0.191269[/C][C]0.0956343[/C][/ROW]
[ROW][C]254[/C][C]0.880572[/C][C]0.238857[/C][C]0.119428[/C][/ROW]
[ROW][C]255[/C][C]0.853207[/C][C]0.293585[/C][C]0.146793[/C][/ROW]
[ROW][C]256[/C][C]0.821852[/C][C]0.356296[/C][C]0.178148[/C][/ROW]
[ROW][C]257[/C][C]0.780329[/C][C]0.439342[/C][C]0.219671[/C][/ROW]
[ROW][C]258[/C][C]0.730524[/C][C]0.538952[/C][C]0.269476[/C][/ROW]
[ROW][C]259[/C][C]0.687765[/C][C]0.62447[/C][C]0.312235[/C][/ROW]
[ROW][C]260[/C][C]0.687344[/C][C]0.625312[/C][C]0.312656[/C][/ROW]
[ROW][C]261[/C][C]0.626463[/C][C]0.747073[/C][C]0.373537[/C][/ROW]
[ROW][C]262[/C][C]0.564454[/C][C]0.871093[/C][C]0.435546[/C][/ROW]
[ROW][C]263[/C][C]0.619097[/C][C]0.761807[/C][C]0.380903[/C][/ROW]
[ROW][C]264[/C][C]0.555313[/C][C]0.889373[/C][C]0.444687[/C][/ROW]
[ROW][C]265[/C][C]0.555332[/C][C]0.889336[/C][C]0.444668[/C][/ROW]
[ROW][C]266[/C][C]0.925526[/C][C]0.148948[/C][C]0.074474[/C][/ROW]
[ROW][C]267[/C][C]0.891924[/C][C]0.216152[/C][C]0.108076[/C][/ROW]
[ROW][C]268[/C][C]0.995883[/C][C]0.00823351[/C][C]0.00411675[/C][/ROW]
[ROW][C]269[/C][C]0.998003[/C][C]0.00399358[/C][C]0.00199679[/C][/ROW]
[ROW][C]270[/C][C]0.998191[/C][C]0.00361854[/C][C]0.00180927[/C][/ROW]
[ROW][C]271[/C][C]0.999846[/C][C]0.000307351[/C][C]0.000153675[/C][/ROW]
[ROW][C]272[/C][C]0.999532[/C][C]0.00093537[/C][C]0.000467685[/C][/ROW]
[ROW][C]273[/C][C]0.999118[/C][C]0.00176372[/C][C]0.000881861[/C][/ROW]
[ROW][C]274[/C][C]0.998184[/C][C]0.00363168[/C][C]0.00181584[/C][/ROW]
[ROW][C]275[/C][C]0.998187[/C][C]0.003626[/C][C]0.001813[/C][/ROW]
[ROW][C]276[/C][C]0.994734[/C][C]0.0105321[/C][C]0.00526606[/C][/ROW]
[ROW][C]277[/C][C]0.99106[/C][C]0.0178797[/C][C]0.00893984[/C][/ROW]
[ROW][C]278[/C][C]0.964852[/C][C]0.070295[/C][C]0.0351475[/C][/ROW]
[ROW][C]279[/C][C]0.967003[/C][C]0.0659944[/C][C]0.0329972[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268730&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268730&T=5

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


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.9412220.1175560.0587782
90.889950.22010.11005
100.8338540.3322920.166146
110.8601470.2797050.139853
120.7971990.4056010.202801
130.8405060.3189880.159494
140.7785620.4428770.221438
150.7064610.5870780.293539
160.6636430.6727140.336357
170.6645460.6709070.335454
180.5981540.8036920.401846
190.5243890.9512210.475611
200.4552260.9104510.544774
210.3830620.7661240.616938
220.4277450.855490.572255
230.3803770.7607540.619623
240.3212440.6424880.678756
250.2737120.5474240.726288
260.2249480.4498970.775052
270.1898470.3796950.810153
280.1548920.3097840.845108
290.2128670.4257340.787133
300.1793790.3587580.820621
310.164370.328740.83563
320.1395560.2791130.860444
330.1370550.2741110.862945
340.189390.3787810.81061
350.1602650.3205310.839735
360.1834370.3668740.816563
370.1550160.3100320.844984
380.1278070.2556140.872193
390.1067530.2135050.893247
400.1129630.2259250.887037
410.1328910.2657810.867109
420.1190850.2381690.880915
430.1653320.3306640.834668
440.14230.28460.8577
450.1298430.2596870.870157
460.1129840.2259680.887016
470.1206170.2412330.879383
480.1028920.2057840.897108
490.08849460.1769890.911505
500.1091240.2182490.890876
510.1196190.2392390.880381
520.1225350.2450690.877465
530.1074170.2148350.892583
540.1116760.2233520.888324
550.1033080.2066160.896692
560.1023650.204730.897635
570.1008770.2017530.899123
580.08842460.1768490.911575
590.1427520.2855050.857248
600.1753320.3506630.824668
610.1508860.3017710.849114
620.160680.321360.83932
630.1664220.3328430.833578
640.1572420.3144830.842758
650.1595880.3191750.840412
660.2021520.4043040.797848
670.1964790.3929580.803521
680.1718480.3436970.828152
690.1714540.3429080.828546
700.1592920.3185830.840708
710.1640190.3280380.835981
720.1528130.3056260.847187
730.1385710.2771420.861429
740.123340.246680.87666
750.1105480.2210970.889452
760.1174210.2348420.882579
770.1997820.3995650.800218
780.1895770.3791540.810423
790.1794440.3588880.820556
800.1722120.3444240.827788
810.1709710.3419420.829029
820.149850.2996990.85015
830.1778740.3557470.822126
840.1560110.3120220.843989
850.173780.3475590.82622
860.153770.307540.84623
870.2681510.5363020.731849
880.2498850.4997690.750115
890.2266420.4532840.773358
900.201520.403040.79848
910.1795340.3590680.820466
920.1699080.3398170.830092
930.1790130.3580250.820987
940.1878830.3757660.812117
950.2800710.5601410.719929
960.2816510.5633030.718349
970.2762020.5524040.723798
980.2982670.5965330.701733
990.2923540.5847070.707646
1000.374660.7493210.62534
1010.359380.7187590.64062
1020.4053060.8106120.594694
1030.4632470.9264930.536753
1040.4358360.8716720.564164
1050.4197450.839490.580255
1060.4222760.8445520.577724
1070.4401020.8802040.559898
1080.4725880.9451760.527412
1090.4990710.9981420.500929
1100.5173170.9653660.482683
1110.7172410.5655180.282759
1120.7564610.4870780.243539
1130.7648340.4703320.235166
1140.7611590.4776820.238841
1150.7512890.4974210.248711
1160.8621510.2756980.137849
1170.8570490.2859010.142951
1180.918810.162380.08119
1190.944220.111560.0557799
1200.9378450.1243110.0621554
1210.9432220.1135560.0567778
1220.9398960.1202090.0601043
1230.9519310.09613710.0480686
1240.9607940.07841170.0392059
1250.9666590.06668150.0333407
1260.9679940.06401240.0320062
1270.9803350.03933020.0196651
1280.983450.03310070.0165503
1290.9805320.03893630.0194682
1300.9799870.04002550.0200128
1310.9811110.03777870.0188894
1320.9840840.03183220.0159161
1330.9832630.03347320.0167366
1340.9844650.03106960.0155348
1350.9836820.0326370.0163185
1360.9817430.03651310.0182566
1370.9785550.04288960.0214448
1380.9742670.05146650.0257333
1390.9699710.06005710.0300286
1400.979130.04174080.0208704
1410.9790390.04192260.0209613
1420.97690.04619940.0230997
1430.9724640.05507190.027536
1440.9674640.06507210.0325361
1450.9831280.03374470.0168724
1460.9825840.03483120.0174156
1470.9825040.03499130.0174957
1480.9813560.03728860.0186443
1490.9790340.04193120.0209656
1500.9797250.04055040.0202752
1510.976290.04742080.0237104
1520.9747060.05058810.0252941
1530.9704240.05915240.0295762
1540.9667530.06649370.0332469
1550.9652110.06957840.0347892
1560.9878450.02430960.0121548
1570.9866090.02678170.0133908
1580.9869380.02612310.0130615
1590.9840560.03188750.0159437
1600.9845540.03089220.0154461
1610.9813010.0373990.0186995
1620.9807170.03856640.0192832
1630.9773790.04524270.0226214
1640.9757640.04847260.0242363
1650.971180.05764070.0288203
1660.9810720.03785510.0189276
1670.9779320.04413630.0220682
1680.9779890.04402240.0220112
1690.9955840.008832660.00441633
1700.9965870.006825110.00341255
1710.9956070.008785670.00439284
1720.9955370.008925320.00446266
1730.9970660.005867640.00293382
1740.9961980.007603210.0038016
1750.9964060.007187420.00359371
1760.995650.008700250.00435012
1770.9970250.005950390.0029752
1780.9967190.006562430.00328122
1790.9958860.0082270.0041135
1800.9949070.01018590.00509295
1810.995770.008459580.00422979
1820.9952440.009511160.00475558
1830.9951560.009688110.00484406
1840.9945590.01088240.00544119
1850.9959240.00815250.00407625
1860.9955660.008867130.00443356
1870.9944420.0111160.00555802
1880.9935140.01297240.00648621
1890.9919130.01617370.00808687
1900.9914970.01700620.0085031
1910.9899980.02000340.0100017
1920.9945560.01088720.0054436
1930.9933390.01332250.00666127
1940.9920580.01588340.0079417
1950.9898340.02033240.0101662
1960.9874990.02500140.0125007
1970.9854940.02901190.014506
1980.9836430.03271440.0163572
1990.9896770.02064550.0103228
2000.9875530.02489360.0124468
2010.9856050.02878960.0143948
2020.9856850.02862940.0143147
2030.9818380.03632460.0181623
2040.9844730.03105480.0155274
2050.9840.03199950.0159997
2060.9815810.03683840.0184192
2070.9801390.0397230.0198615
2080.9777770.04444610.022223
2090.9725550.05489030.0274452
2100.9663940.06721140.0336057
2110.9738830.05223490.0261175
2120.9716470.05670630.0283532
2130.9698540.06029220.0301461
2140.9626040.07479160.0373958
2150.9586540.08269220.0413461
2160.9546340.09073120.0453656
2170.9455860.1088290.0544143
2180.9361680.1276640.0638321
2190.9486240.1027520.051376
2200.9402430.1195140.0597571
2210.9370020.1259960.0629982
2220.9264360.1471270.0735635
2230.9231120.1537760.0768882
2240.9109760.1780490.0890244
2250.8998990.2002020.100101
2260.8792940.2414120.120706
2270.8557350.2885290.144265
2280.8388490.3223020.161151
2290.859330.281340.14067
2300.8333470.3333050.166653
2310.83550.3290010.1645
2320.8200140.3599720.179986
2330.8746190.2507620.125381
2340.8914590.2170820.108541
2350.9007740.1984510.0992257
2360.8870010.2259980.112999
2370.8998060.2003870.100194
2380.9223910.1552180.0776091
2390.9052470.1895050.0947525
2400.8879220.2241560.112078
2410.881410.237180.11859
2420.8768190.2463610.123181
2430.9548170.09036530.0451826
2440.9505210.09895740.0494787
2450.9517280.09654370.0482719
2460.9389450.1221110.0610554
2470.9212040.1575910.0787955
2480.9085310.1829390.0914693
2490.8892960.2214090.110704
2500.8793070.2413860.120693
2510.8679180.2641640.132082
2520.9269160.1461670.0730836
2530.9043660.1912690.0956343
2540.8805720.2388570.119428
2550.8532070.2935850.146793
2560.8218520.3562960.178148
2570.7803290.4393420.219671
2580.7305240.5389520.269476
2590.6877650.624470.312235
2600.6873440.6253120.312656
2610.6264630.7470730.373537
2620.5644540.8710930.435546
2630.6190970.7618070.380903
2640.5553130.8893730.444687
2650.5553320.8893360.444668
2660.9255260.1489480.074474
2670.8919240.2161520.108076
2680.9958830.008233510.00411675
2690.9980030.003993580.00199679
2700.9981910.003618540.00180927
2710.9998460.0003073510.000153675
2720.9995320.000935370.000467685
2730.9991180.001763720.000881861
2740.9981840.003631680.00181584
2750.9981870.0036260.001813
2760.9947340.01053210.00526606
2770.991060.01787970.00893984
2780.9648520.0702950.0351475
2790.9670030.06599440.0329972






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

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
Description & # significant tests & % significant tests & OK/NOK \tabularnewline
1% type I error level & 24 & 0.0882353 & NOK \tabularnewline
5% type I error level & 83 & 0.305147 & NOK \tabularnewline
10% type I error level & 109 & 0.400735 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268730&T=6

[TABLE]
[ROW][C]Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]Description[/C][C]# significant tests[/C][C]% significant tests[/C][C]OK/NOK[/C][/ROW]
[ROW][C]1% type I error level[/C][C]24[/C][C]0.0882353[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]83[/C][C]0.305147[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]109[/C][C]0.400735[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268730&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268730&T=6

As an alternative you can also use a QR Code:  
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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 level240.0882353NOK
5% type I error level830.305147NOK
10% type I error level1090.400735NOK


Figures (Output of Computation)

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Input Parameters & R Code

Parameters (Session):
par1 = 5 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 5 ; 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')
}