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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationThu, 11 Dec 2014 20:26:33 +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/11/t1418329629e92dt8l9bfdb6hq.htm/, Retrieved Thu, 16 May 2024 15:43:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=266319, Retrieved Thu, 16 May 2024 15:43:49 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact76

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [paper17] [2014-12-11 20:26:33] [0015a2406d94cac8c1a56a29b9122359] [Current]
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Dataset

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

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266319&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266319&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266319&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'Gertrude Mary Cox' @ cox.wessa.net






Multiple Linear Regression - Estimated Regression Equation
Ex[t] = + 8.38723 + 0.00981226LFM[t] + 0.0291723B[t] -0.326108PRH[t] -0.34878CH[t] + 0.332726H[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Ex[t] =  +  8.38723 +  0.00981226LFM[t] +  0.0291723B[t] -0.326108PRH[t] -0.34878CH[t] +  0.332726H[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266319&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Ex[t] =  +  8.38723 +  0.00981226LFM[t] +  0.0291723B[t] -0.326108PRH[t] -0.34878CH[t] +  0.332726H[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266319&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266319&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] = + 8.38723 + 0.00981226LFM[t] + 0.0291723B[t] -0.326108PRH[t] -0.34878CH[t] + 0.332726H[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)8.387230.55209215.191.98129e-389.90643e-39
LFM0.009812260.004854262.0210.04419240.0220962
B0.02917230.002927179.9663.20379e-201.60189e-20
PRH-0.3261080.450296-0.72420.4695430.234772
CH-0.348780.449664-0.77560.4386120.219306
H0.3327260.4495040.74020.4597950.229897

\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) & 8.38723 & 0.552092 & 15.19 & 1.98129e-38 & 9.90643e-39 \tabularnewline
LFM & 0.00981226 & 0.00485426 & 2.021 & 0.0441924 & 0.0220962 \tabularnewline
B & 0.0291723 & 0.00292717 & 9.966 & 3.20379e-20 & 1.60189e-20 \tabularnewline
PRH & -0.326108 & 0.450296 & -0.7242 & 0.469543 & 0.234772 \tabularnewline
CH & -0.34878 & 0.449664 & -0.7756 & 0.438612 & 0.219306 \tabularnewline
H & 0.332726 & 0.449504 & 0.7402 & 0.459795 & 0.229897 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266319&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]8.38723[/C][C]0.552092[/C][C]15.19[/C][C]1.98129e-38[/C][C]9.90643e-39[/C][/ROW]
[ROW][C]LFM[/C][C]0.00981226[/C][C]0.00485426[/C][C]2.021[/C][C]0.0441924[/C][C]0.0220962[/C][/ROW]
[ROW][C]B[/C][C]0.0291723[/C][C]0.00292717[/C][C]9.966[/C][C]3.20379e-20[/C][C]1.60189e-20[/C][/ROW]
[ROW][C]PRH[/C][C]-0.326108[/C][C]0.450296[/C][C]-0.7242[/C][C]0.469543[/C][C]0.234772[/C][/ROW]
[ROW][C]CH[/C][C]-0.34878[/C][C]0.449664[/C][C]-0.7756[/C][C]0.438612[/C][C]0.219306[/C][/ROW]
[ROW][C]H[/C][C]0.332726[/C][C]0.449504[/C][C]0.7402[/C][C]0.459795[/C][C]0.229897[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266319&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266319&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)8.387230.55209215.191.98129e-389.90643e-39
LFM0.009812260.004854262.0210.04419240.0220962
B0.02917230.002927179.9663.20379e-201.60189e-20
PRH-0.3261080.450296-0.72420.4695430.234772
CH-0.348780.449664-0.77560.4386120.219306
H0.3327260.4495040.74020.4597950.229897






Multiple Linear Regression - Regression Statistics
Multiple R0.598703
R-squared0.358445
Adjusted R-squared0.346989
F-TEST (value)31.2879
F-TEST (DF numerator)5
F-TEST (DF denominator)280
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.7633
Sum Squared Residuals2138.03

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.598703 \tabularnewline
R-squared & 0.358445 \tabularnewline
Adjusted R-squared & 0.346989 \tabularnewline
F-TEST (value) & 31.2879 \tabularnewline
F-TEST (DF numerator) & 5 \tabularnewline
F-TEST (DF denominator) & 280 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.7633 \tabularnewline
Sum Squared Residuals & 2138.03 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266319&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.598703[/C][/ROW]
[ROW][C]R-squared[/C][C]0.358445[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.346989[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]31.2879[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]5[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]280[/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]2.7633[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]2138.03[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266319&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266319&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 R0.598703
R-squared0.358445
Adjusted R-squared0.346989
F-TEST (value)31.2879
F-TEST (DF numerator)5
F-TEST (DF denominator)280
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.7633
Sum Squared Residuals2138.03






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
11311.67721.32278
2711.2299-4.22995
31211.37220.627763
41312.1510.849023
5712.5723-5.57227
6711.3315-4.33146
71315.3281-2.32809
81512.50932.49072
91312.05530.944683
101112.4458-1.44579
11814.2217-6.22175
121112.8314-1.83141
13614.4544-8.45439
141111.571-0.571017
151213.4319-1.43189
1669.77207-3.77207
171111.2883-0.288318
181213.7186-1.71861
19912.11-3.11002
201012.2232-2.22325
211011.4548-1.45476
22611.7601-5.7601
231413.12570.874275
241113.2024-2.20242
251412.00241.99761
261212.5607-0.56067
271114.8267-3.82673
281613.27312.72693
291311.02081.97922
301010.9375-0.937482
311212.0889-0.0889002
32811.7864-3.78639
331213.3252-1.32518
34611.4511-5.45105
35912.3107-3.31072
361014.4538-4.45384
371112.5285-1.52849
381012.9102-2.91022
391011.5949-1.59492
401312.82650.173548
41912.1789-3.17893
421214.2624-2.2624
43610.5709-4.5709
441113.9887-2.9887
451311.60221.39777
461112.4471-1.44714
471210.38121.6188
481113.4039-2.40394
491212.3897-0.389684
50811.1002-3.10016
51139.828013.17199
521210.93641.06357
531211.97290.0270642
54711.071-4.07104
551113.1593-2.15927
561212.6381-0.63813
571313.5265-0.52649
581013.3749-3.37493
59611.6995-5.69954
601412.13121.86879
6189.56058-1.56058
621311.65371.34635
63912.4918-3.49181
641311.71361.28644
65810.6734-2.67345
661613.68142.31865
67911.2953-2.29531
68910.5691-1.56913
691114.0434-3.04342
701313.1961-0.196145
711512.9682.03197
721210.99621.00381
731213.4593-1.45929
741111.3045-0.30447
75911.174-2.17402
761510.98984.01018
77712.2773-5.27732
781312.89430.105749
79NANA-0.573344
801311.27791.72213
811314.586-1.58604
821314.265-1.26503
831013.3392-3.33923
8487.574240.425757
85118.540782.45922
861313.7545-0.754476
871117.0089-6.00894
8844.9222-0.922203
89109.416090.583915
901211.63230.367654
911110.93850.0615384
921112.0926-1.09261
9396.919042.08096
941310.2772.72301
951318.0481-5.0481
9667.03365-1.03365
971012.9414-2.9414
98912.7377-3.73769
9989.3312-1.3312
100914.2216-5.22158
10177.03031-0.0303118
102118.424752.57525
1031416.6462-2.64615
10487.88690.113102
1051112.636-1.63601
1061012.2361-2.23612
10788.84071-0.840705
108107.646412.35359
1091415.3387-1.33869
11095.627823.37218
1111419.6322-5.63222
11259.17252-4.17252
11366.24935-0.249351
114108.758231.24177
1151211.320.679985
1161116.6811-5.68113
11743.520440.479556
118139.792823.20718
1191815.11722.88283
1201816.64011.35993
1211713.67493.32512
1221318.3499-5.34991
1231713.52093.47911
1241921.0759-2.07586
1251613.69142.30857
1261312.65690.343114
1271814.06273.93733
1281518.8736-3.87364
1291111.7779-0.777898
1301312.11140.88856
1311619.5794-3.57936
1321411.18342.81663
1331917.431.57001
1341410.86183.13817
1351517.1266-2.12659
1361614.21.79995
1371514.20290.797112
1381515.3095-0.309489
1391213.7718-1.7718
140139.785453.21455
1411720.0604-3.0604
14298.571630.42837
1431820.0932-2.09321
1441614.75271.24728
145125.758386.24162
1461816.55541.44461
1471513.26181.73815
1481815.79022.20981
1491614.65381.34621
1501612.68533.31475
1511816.95641.04364
1521414.178-0.177991
1531211.41890.581099
1541417.0881-3.08805
1551513.43191.56813
1561823.1691-5.16912
157107.84582.1542
1581613.72122.27877
1591818.3776-0.377557
1601714.54482.45522
1611514.59660.403445
1621411.1152.88502
1631917.60171.39825
1641618.2581-2.25812
1651515.7671-0.767132
166126.551225.44878
1671819.4906-1.49065
1681613.22342.77663
1691711.81175.18832
1701610.56415.43588
1712019.86460.135443
172118.679532.32047
1731813.55684.44322
1741515.5613-0.561281
1751517.9452-2.94522
1761110.04590.954115
1771611.16514.8349
1781815.66932.33066
1791515.8232-0.823191
1801515.8232-0.823191
1811510.38744.61256
1821818.7034-0.703352
1831310.68322.31679
1841916.83292.16711
1851519.3178-4.31775
18688.69943-0.699426
1871312.79050.209451
1881412.14041.85957
1891917.65491.34514
1901513.88451.11549
1911310.69632.30368
1921611.26794.73212
1931716.21930.780714
1941310.93242.06765
1951211.51670.4833
1961314.4661-1.46609
197107.749032.25097
1981515.7866-0.786603
199105.168734.83127
2001816.03521.9648
2011413.63450.365533
2021516.9705-1.97051
2031515.1735-0.173519
2041410.683.32
2051511.63843.36164
2061614.56131.43865
2071916.91292.08709
2081413.18910.810852
2091413.18360.816368
2101615.56240.437562
211139.157693.84231
2121518.3241-3.3241
213108.026121.97388
2141313.4865-0.486464
215129.259642.74036
2161916.47342.52657
2171715.74341.25664
218119.376421.62358
2191518.1179-3.1179
2201215.2978-3.29785
2211314.1348-1.1348
2221617.3879-1.38795
223128.844443.15556
2241615.62490.375074
2251410.97773.0223
2261818.3117-0.311658
2271110.88430.115701
2281614.4151.58499
2291822.4425-4.44245
23088.26218-0.262175
231127.478164.52184
2321613.26382.73616
2331915.80253.19748
2341511.41113.58893
2351714.03832.96171
2361612.71973.2803
2371814.11263.88737
2381913.29395.70606
2391917.02431.97574
2401917.72491.27511
2411313.1889-0.188913
2421314.4664-1.46643
2431016.2172-6.21719
24453.528181.47182
2451213.9609-1.96091
2461415.3099-1.30991
2471211.38890.611102
2481213.7693-1.76932
2491315.8274-2.82739
250117.609513.39049
251159.564125.43588
2522013.89646.10362
2531819.1728-1.17279
2541111.4428-0.442753
2551512.72512.27493
2561816.81541.18459
2571413.10460.895426
2581615.87340.126632
2591313.1425-0.142496
2601214.2432-2.24319
2611211.56770.432293
2621512.90182.09824
2631515.5963-0.596252
2641311.70981.29024
2651719.0922-2.09218
266815.0983-7.09832
26785.953632.04637
2681316.3541-3.35412
26987.864560.135443
2701110.86160.13841
2711214.6491-2.64912
272106.609513.39049
2731512.93342.06659
2741716.89560.104408
2751312.77010.229869
276149.491154.50885
2771611.16314.83694
2781716.25330.746654
279117.69813.3019
2801514.13410.8659
2811210.93961.06037
2821513.04811.95193
2831815.58582.41423
2841513.36011.63992
2851512.32532.67465
2861719.796-2.79602
2878NANA

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 13 & 11.6772 & 1.32278 \tabularnewline
2 & 7 & 11.2299 & -4.22995 \tabularnewline
3 & 12 & 11.3722 & 0.627763 \tabularnewline
4 & 13 & 12.151 & 0.849023 \tabularnewline
5 & 7 & 12.5723 & -5.57227 \tabularnewline
6 & 7 & 11.3315 & -4.33146 \tabularnewline
7 & 13 & 15.3281 & -2.32809 \tabularnewline
8 & 15 & 12.5093 & 2.49072 \tabularnewline
9 & 13 & 12.0553 & 0.944683 \tabularnewline
10 & 11 & 12.4458 & -1.44579 \tabularnewline
11 & 8 & 14.2217 & -6.22175 \tabularnewline
12 & 11 & 12.8314 & -1.83141 \tabularnewline
13 & 6 & 14.4544 & -8.45439 \tabularnewline
14 & 11 & 11.571 & -0.571017 \tabularnewline
15 & 12 & 13.4319 & -1.43189 \tabularnewline
16 & 6 & 9.77207 & -3.77207 \tabularnewline
17 & 11 & 11.2883 & -0.288318 \tabularnewline
18 & 12 & 13.7186 & -1.71861 \tabularnewline
19 & 9 & 12.11 & -3.11002 \tabularnewline
20 & 10 & 12.2232 & -2.22325 \tabularnewline
21 & 10 & 11.4548 & -1.45476 \tabularnewline
22 & 6 & 11.7601 & -5.7601 \tabularnewline
23 & 14 & 13.1257 & 0.874275 \tabularnewline
24 & 11 & 13.2024 & -2.20242 \tabularnewline
25 & 14 & 12.0024 & 1.99761 \tabularnewline
26 & 12 & 12.5607 & -0.56067 \tabularnewline
27 & 11 & 14.8267 & -3.82673 \tabularnewline
28 & 16 & 13.2731 & 2.72693 \tabularnewline
29 & 13 & 11.0208 & 1.97922 \tabularnewline
30 & 10 & 10.9375 & -0.937482 \tabularnewline
31 & 12 & 12.0889 & -0.0889002 \tabularnewline
32 & 8 & 11.7864 & -3.78639 \tabularnewline
33 & 12 & 13.3252 & -1.32518 \tabularnewline
34 & 6 & 11.4511 & -5.45105 \tabularnewline
35 & 9 & 12.3107 & -3.31072 \tabularnewline
36 & 10 & 14.4538 & -4.45384 \tabularnewline
37 & 11 & 12.5285 & -1.52849 \tabularnewline
38 & 10 & 12.9102 & -2.91022 \tabularnewline
39 & 10 & 11.5949 & -1.59492 \tabularnewline
40 & 13 & 12.8265 & 0.173548 \tabularnewline
41 & 9 & 12.1789 & -3.17893 \tabularnewline
42 & 12 & 14.2624 & -2.2624 \tabularnewline
43 & 6 & 10.5709 & -4.5709 \tabularnewline
44 & 11 & 13.9887 & -2.9887 \tabularnewline
45 & 13 & 11.6022 & 1.39777 \tabularnewline
46 & 11 & 12.4471 & -1.44714 \tabularnewline
47 & 12 & 10.3812 & 1.6188 \tabularnewline
48 & 11 & 13.4039 & -2.40394 \tabularnewline
49 & 12 & 12.3897 & -0.389684 \tabularnewline
50 & 8 & 11.1002 & -3.10016 \tabularnewline
51 & 13 & 9.82801 & 3.17199 \tabularnewline
52 & 12 & 10.9364 & 1.06357 \tabularnewline
53 & 12 & 11.9729 & 0.0270642 \tabularnewline
54 & 7 & 11.071 & -4.07104 \tabularnewline
55 & 11 & 13.1593 & -2.15927 \tabularnewline
56 & 12 & 12.6381 & -0.63813 \tabularnewline
57 & 13 & 13.5265 & -0.52649 \tabularnewline
58 & 10 & 13.3749 & -3.37493 \tabularnewline
59 & 6 & 11.6995 & -5.69954 \tabularnewline
60 & 14 & 12.1312 & 1.86879 \tabularnewline
61 & 8 & 9.56058 & -1.56058 \tabularnewline
62 & 13 & 11.6537 & 1.34635 \tabularnewline
63 & 9 & 12.4918 & -3.49181 \tabularnewline
64 & 13 & 11.7136 & 1.28644 \tabularnewline
65 & 8 & 10.6734 & -2.67345 \tabularnewline
66 & 16 & 13.6814 & 2.31865 \tabularnewline
67 & 9 & 11.2953 & -2.29531 \tabularnewline
68 & 9 & 10.5691 & -1.56913 \tabularnewline
69 & 11 & 14.0434 & -3.04342 \tabularnewline
70 & 13 & 13.1961 & -0.196145 \tabularnewline
71 & 15 & 12.968 & 2.03197 \tabularnewline
72 & 12 & 10.9962 & 1.00381 \tabularnewline
73 & 12 & 13.4593 & -1.45929 \tabularnewline
74 & 11 & 11.3045 & -0.30447 \tabularnewline
75 & 9 & 11.174 & -2.17402 \tabularnewline
76 & 15 & 10.9898 & 4.01018 \tabularnewline
77 & 7 & 12.2773 & -5.27732 \tabularnewline
78 & 13 & 12.8943 & 0.105749 \tabularnewline
79 & NA & NA & -0.573344 \tabularnewline
80 & 13 & 11.2779 & 1.72213 \tabularnewline
81 & 13 & 14.586 & -1.58604 \tabularnewline
82 & 13 & 14.265 & -1.26503 \tabularnewline
83 & 10 & 13.3392 & -3.33923 \tabularnewline
84 & 8 & 7.57424 & 0.425757 \tabularnewline
85 & 11 & 8.54078 & 2.45922 \tabularnewline
86 & 13 & 13.7545 & -0.754476 \tabularnewline
87 & 11 & 17.0089 & -6.00894 \tabularnewline
88 & 4 & 4.9222 & -0.922203 \tabularnewline
89 & 10 & 9.41609 & 0.583915 \tabularnewline
90 & 12 & 11.6323 & 0.367654 \tabularnewline
91 & 11 & 10.9385 & 0.0615384 \tabularnewline
92 & 11 & 12.0926 & -1.09261 \tabularnewline
93 & 9 & 6.91904 & 2.08096 \tabularnewline
94 & 13 & 10.277 & 2.72301 \tabularnewline
95 & 13 & 18.0481 & -5.0481 \tabularnewline
96 & 6 & 7.03365 & -1.03365 \tabularnewline
97 & 10 & 12.9414 & -2.9414 \tabularnewline
98 & 9 & 12.7377 & -3.73769 \tabularnewline
99 & 8 & 9.3312 & -1.3312 \tabularnewline
100 & 9 & 14.2216 & -5.22158 \tabularnewline
101 & 7 & 7.03031 & -0.0303118 \tabularnewline
102 & 11 & 8.42475 & 2.57525 \tabularnewline
103 & 14 & 16.6462 & -2.64615 \tabularnewline
104 & 8 & 7.8869 & 0.113102 \tabularnewline
105 & 11 & 12.636 & -1.63601 \tabularnewline
106 & 10 & 12.2361 & -2.23612 \tabularnewline
107 & 8 & 8.84071 & -0.840705 \tabularnewline
108 & 10 & 7.64641 & 2.35359 \tabularnewline
109 & 14 & 15.3387 & -1.33869 \tabularnewline
110 & 9 & 5.62782 & 3.37218 \tabularnewline
111 & 14 & 19.6322 & -5.63222 \tabularnewline
112 & 5 & 9.17252 & -4.17252 \tabularnewline
113 & 6 & 6.24935 & -0.249351 \tabularnewline
114 & 10 & 8.75823 & 1.24177 \tabularnewline
115 & 12 & 11.32 & 0.679985 \tabularnewline
116 & 11 & 16.6811 & -5.68113 \tabularnewline
117 & 4 & 3.52044 & 0.479556 \tabularnewline
118 & 13 & 9.79282 & 3.20718 \tabularnewline
119 & 18 & 15.1172 & 2.88283 \tabularnewline
120 & 18 & 16.6401 & 1.35993 \tabularnewline
121 & 17 & 13.6749 & 3.32512 \tabularnewline
122 & 13 & 18.3499 & -5.34991 \tabularnewline
123 & 17 & 13.5209 & 3.47911 \tabularnewline
124 & 19 & 21.0759 & -2.07586 \tabularnewline
125 & 16 & 13.6914 & 2.30857 \tabularnewline
126 & 13 & 12.6569 & 0.343114 \tabularnewline
127 & 18 & 14.0627 & 3.93733 \tabularnewline
128 & 15 & 18.8736 & -3.87364 \tabularnewline
129 & 11 & 11.7779 & -0.777898 \tabularnewline
130 & 13 & 12.1114 & 0.88856 \tabularnewline
131 & 16 & 19.5794 & -3.57936 \tabularnewline
132 & 14 & 11.1834 & 2.81663 \tabularnewline
133 & 19 & 17.43 & 1.57001 \tabularnewline
134 & 14 & 10.8618 & 3.13817 \tabularnewline
135 & 15 & 17.1266 & -2.12659 \tabularnewline
136 & 16 & 14.2 & 1.79995 \tabularnewline
137 & 15 & 14.2029 & 0.797112 \tabularnewline
138 & 15 & 15.3095 & -0.309489 \tabularnewline
139 & 12 & 13.7718 & -1.7718 \tabularnewline
140 & 13 & 9.78545 & 3.21455 \tabularnewline
141 & 17 & 20.0604 & -3.0604 \tabularnewline
142 & 9 & 8.57163 & 0.42837 \tabularnewline
143 & 18 & 20.0932 & -2.09321 \tabularnewline
144 & 16 & 14.7527 & 1.24728 \tabularnewline
145 & 12 & 5.75838 & 6.24162 \tabularnewline
146 & 18 & 16.5554 & 1.44461 \tabularnewline
147 & 15 & 13.2618 & 1.73815 \tabularnewline
148 & 18 & 15.7902 & 2.20981 \tabularnewline
149 & 16 & 14.6538 & 1.34621 \tabularnewline
150 & 16 & 12.6853 & 3.31475 \tabularnewline
151 & 18 & 16.9564 & 1.04364 \tabularnewline
152 & 14 & 14.178 & -0.177991 \tabularnewline
153 & 12 & 11.4189 & 0.581099 \tabularnewline
154 & 14 & 17.0881 & -3.08805 \tabularnewline
155 & 15 & 13.4319 & 1.56813 \tabularnewline
156 & 18 & 23.1691 & -5.16912 \tabularnewline
157 & 10 & 7.8458 & 2.1542 \tabularnewline
158 & 16 & 13.7212 & 2.27877 \tabularnewline
159 & 18 & 18.3776 & -0.377557 \tabularnewline
160 & 17 & 14.5448 & 2.45522 \tabularnewline
161 & 15 & 14.5966 & 0.403445 \tabularnewline
162 & 14 & 11.115 & 2.88502 \tabularnewline
163 & 19 & 17.6017 & 1.39825 \tabularnewline
164 & 16 & 18.2581 & -2.25812 \tabularnewline
165 & 15 & 15.7671 & -0.767132 \tabularnewline
166 & 12 & 6.55122 & 5.44878 \tabularnewline
167 & 18 & 19.4906 & -1.49065 \tabularnewline
168 & 16 & 13.2234 & 2.77663 \tabularnewline
169 & 17 & 11.8117 & 5.18832 \tabularnewline
170 & 16 & 10.5641 & 5.43588 \tabularnewline
171 & 20 & 19.8646 & 0.135443 \tabularnewline
172 & 11 & 8.67953 & 2.32047 \tabularnewline
173 & 18 & 13.5568 & 4.44322 \tabularnewline
174 & 15 & 15.5613 & -0.561281 \tabularnewline
175 & 15 & 17.9452 & -2.94522 \tabularnewline
176 & 11 & 10.0459 & 0.954115 \tabularnewline
177 & 16 & 11.1651 & 4.8349 \tabularnewline
178 & 18 & 15.6693 & 2.33066 \tabularnewline
179 & 15 & 15.8232 & -0.823191 \tabularnewline
180 & 15 & 15.8232 & -0.823191 \tabularnewline
181 & 15 & 10.3874 & 4.61256 \tabularnewline
182 & 18 & 18.7034 & -0.703352 \tabularnewline
183 & 13 & 10.6832 & 2.31679 \tabularnewline
184 & 19 & 16.8329 & 2.16711 \tabularnewline
185 & 15 & 19.3178 & -4.31775 \tabularnewline
186 & 8 & 8.69943 & -0.699426 \tabularnewline
187 & 13 & 12.7905 & 0.209451 \tabularnewline
188 & 14 & 12.1404 & 1.85957 \tabularnewline
189 & 19 & 17.6549 & 1.34514 \tabularnewline
190 & 15 & 13.8845 & 1.11549 \tabularnewline
191 & 13 & 10.6963 & 2.30368 \tabularnewline
192 & 16 & 11.2679 & 4.73212 \tabularnewline
193 & 17 & 16.2193 & 0.780714 \tabularnewline
194 & 13 & 10.9324 & 2.06765 \tabularnewline
195 & 12 & 11.5167 & 0.4833 \tabularnewline
196 & 13 & 14.4661 & -1.46609 \tabularnewline
197 & 10 & 7.74903 & 2.25097 \tabularnewline
198 & 15 & 15.7866 & -0.786603 \tabularnewline
199 & 10 & 5.16873 & 4.83127 \tabularnewline
200 & 18 & 16.0352 & 1.9648 \tabularnewline
201 & 14 & 13.6345 & 0.365533 \tabularnewline
202 & 15 & 16.9705 & -1.97051 \tabularnewline
203 & 15 & 15.1735 & -0.173519 \tabularnewline
204 & 14 & 10.68 & 3.32 \tabularnewline
205 & 15 & 11.6384 & 3.36164 \tabularnewline
206 & 16 & 14.5613 & 1.43865 \tabularnewline
207 & 19 & 16.9129 & 2.08709 \tabularnewline
208 & 14 & 13.1891 & 0.810852 \tabularnewline
209 & 14 & 13.1836 & 0.816368 \tabularnewline
210 & 16 & 15.5624 & 0.437562 \tabularnewline
211 & 13 & 9.15769 & 3.84231 \tabularnewline
212 & 15 & 18.3241 & -3.3241 \tabularnewline
213 & 10 & 8.02612 & 1.97388 \tabularnewline
214 & 13 & 13.4865 & -0.486464 \tabularnewline
215 & 12 & 9.25964 & 2.74036 \tabularnewline
216 & 19 & 16.4734 & 2.52657 \tabularnewline
217 & 17 & 15.7434 & 1.25664 \tabularnewline
218 & 11 & 9.37642 & 1.62358 \tabularnewline
219 & 15 & 18.1179 & -3.1179 \tabularnewline
220 & 12 & 15.2978 & -3.29785 \tabularnewline
221 & 13 & 14.1348 & -1.1348 \tabularnewline
222 & 16 & 17.3879 & -1.38795 \tabularnewline
223 & 12 & 8.84444 & 3.15556 \tabularnewline
224 & 16 & 15.6249 & 0.375074 \tabularnewline
225 & 14 & 10.9777 & 3.0223 \tabularnewline
226 & 18 & 18.3117 & -0.311658 \tabularnewline
227 & 11 & 10.8843 & 0.115701 \tabularnewline
228 & 16 & 14.415 & 1.58499 \tabularnewline
229 & 18 & 22.4425 & -4.44245 \tabularnewline
230 & 8 & 8.26218 & -0.262175 \tabularnewline
231 & 12 & 7.47816 & 4.52184 \tabularnewline
232 & 16 & 13.2638 & 2.73616 \tabularnewline
233 & 19 & 15.8025 & 3.19748 \tabularnewline
234 & 15 & 11.4111 & 3.58893 \tabularnewline
235 & 17 & 14.0383 & 2.96171 \tabularnewline
236 & 16 & 12.7197 & 3.2803 \tabularnewline
237 & 18 & 14.1126 & 3.88737 \tabularnewline
238 & 19 & 13.2939 & 5.70606 \tabularnewline
239 & 19 & 17.0243 & 1.97574 \tabularnewline
240 & 19 & 17.7249 & 1.27511 \tabularnewline
241 & 13 & 13.1889 & -0.188913 \tabularnewline
242 & 13 & 14.4664 & -1.46643 \tabularnewline
243 & 10 & 16.2172 & -6.21719 \tabularnewline
244 & 5 & 3.52818 & 1.47182 \tabularnewline
245 & 12 & 13.9609 & -1.96091 \tabularnewline
246 & 14 & 15.3099 & -1.30991 \tabularnewline
247 & 12 & 11.3889 & 0.611102 \tabularnewline
248 & 12 & 13.7693 & -1.76932 \tabularnewline
249 & 13 & 15.8274 & -2.82739 \tabularnewline
250 & 11 & 7.60951 & 3.39049 \tabularnewline
251 & 15 & 9.56412 & 5.43588 \tabularnewline
252 & 20 & 13.8964 & 6.10362 \tabularnewline
253 & 18 & 19.1728 & -1.17279 \tabularnewline
254 & 11 & 11.4428 & -0.442753 \tabularnewline
255 & 15 & 12.7251 & 2.27493 \tabularnewline
256 & 18 & 16.8154 & 1.18459 \tabularnewline
257 & 14 & 13.1046 & 0.895426 \tabularnewline
258 & 16 & 15.8734 & 0.126632 \tabularnewline
259 & 13 & 13.1425 & -0.142496 \tabularnewline
260 & 12 & 14.2432 & -2.24319 \tabularnewline
261 & 12 & 11.5677 & 0.432293 \tabularnewline
262 & 15 & 12.9018 & 2.09824 \tabularnewline
263 & 15 & 15.5963 & -0.596252 \tabularnewline
264 & 13 & 11.7098 & 1.29024 \tabularnewline
265 & 17 & 19.0922 & -2.09218 \tabularnewline
266 & 8 & 15.0983 & -7.09832 \tabularnewline
267 & 8 & 5.95363 & 2.04637 \tabularnewline
268 & 13 & 16.3541 & -3.35412 \tabularnewline
269 & 8 & 7.86456 & 0.135443 \tabularnewline
270 & 11 & 10.8616 & 0.13841 \tabularnewline
271 & 12 & 14.6491 & -2.64912 \tabularnewline
272 & 10 & 6.60951 & 3.39049 \tabularnewline
273 & 15 & 12.9334 & 2.06659 \tabularnewline
274 & 17 & 16.8956 & 0.104408 \tabularnewline
275 & 13 & 12.7701 & 0.229869 \tabularnewline
276 & 14 & 9.49115 & 4.50885 \tabularnewline
277 & 16 & 11.1631 & 4.83694 \tabularnewline
278 & 17 & 16.2533 & 0.746654 \tabularnewline
279 & 11 & 7.6981 & 3.3019 \tabularnewline
280 & 15 & 14.1341 & 0.8659 \tabularnewline
281 & 12 & 10.9396 & 1.06037 \tabularnewline
282 & 15 & 13.0481 & 1.95193 \tabularnewline
283 & 18 & 15.5858 & 2.41423 \tabularnewline
284 & 15 & 13.3601 & 1.63992 \tabularnewline
285 & 15 & 12.3253 & 2.67465 \tabularnewline
286 & 17 & 19.796 & -2.79602 \tabularnewline
287 & 8 & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266319&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]13[/C][C]11.6772[/C][C]1.32278[/C][/ROW]
[ROW][C]2[/C][C]7[/C][C]11.2299[/C][C]-4.22995[/C][/ROW]
[ROW][C]3[/C][C]12[/C][C]11.3722[/C][C]0.627763[/C][/ROW]
[ROW][C]4[/C][C]13[/C][C]12.151[/C][C]0.849023[/C][/ROW]
[ROW][C]5[/C][C]7[/C][C]12.5723[/C][C]-5.57227[/C][/ROW]
[ROW][C]6[/C][C]7[/C][C]11.3315[/C][C]-4.33146[/C][/ROW]
[ROW][C]7[/C][C]13[/C][C]15.3281[/C][C]-2.32809[/C][/ROW]
[ROW][C]8[/C][C]15[/C][C]12.5093[/C][C]2.49072[/C][/ROW]
[ROW][C]9[/C][C]13[/C][C]12.0553[/C][C]0.944683[/C][/ROW]
[ROW][C]10[/C][C]11[/C][C]12.4458[/C][C]-1.44579[/C][/ROW]
[ROW][C]11[/C][C]8[/C][C]14.2217[/C][C]-6.22175[/C][/ROW]
[ROW][C]12[/C][C]11[/C][C]12.8314[/C][C]-1.83141[/C][/ROW]
[ROW][C]13[/C][C]6[/C][C]14.4544[/C][C]-8.45439[/C][/ROW]
[ROW][C]14[/C][C]11[/C][C]11.571[/C][C]-0.571017[/C][/ROW]
[ROW][C]15[/C][C]12[/C][C]13.4319[/C][C]-1.43189[/C][/ROW]
[ROW][C]16[/C][C]6[/C][C]9.77207[/C][C]-3.77207[/C][/ROW]
[ROW][C]17[/C][C]11[/C][C]11.2883[/C][C]-0.288318[/C][/ROW]
[ROW][C]18[/C][C]12[/C][C]13.7186[/C][C]-1.71861[/C][/ROW]
[ROW][C]19[/C][C]9[/C][C]12.11[/C][C]-3.11002[/C][/ROW]
[ROW][C]20[/C][C]10[/C][C]12.2232[/C][C]-2.22325[/C][/ROW]
[ROW][C]21[/C][C]10[/C][C]11.4548[/C][C]-1.45476[/C][/ROW]
[ROW][C]22[/C][C]6[/C][C]11.7601[/C][C]-5.7601[/C][/ROW]
[ROW][C]23[/C][C]14[/C][C]13.1257[/C][C]0.874275[/C][/ROW]
[ROW][C]24[/C][C]11[/C][C]13.2024[/C][C]-2.20242[/C][/ROW]
[ROW][C]25[/C][C]14[/C][C]12.0024[/C][C]1.99761[/C][/ROW]
[ROW][C]26[/C][C]12[/C][C]12.5607[/C][C]-0.56067[/C][/ROW]
[ROW][C]27[/C][C]11[/C][C]14.8267[/C][C]-3.82673[/C][/ROW]
[ROW][C]28[/C][C]16[/C][C]13.2731[/C][C]2.72693[/C][/ROW]
[ROW][C]29[/C][C]13[/C][C]11.0208[/C][C]1.97922[/C][/ROW]
[ROW][C]30[/C][C]10[/C][C]10.9375[/C][C]-0.937482[/C][/ROW]
[ROW][C]31[/C][C]12[/C][C]12.0889[/C][C]-0.0889002[/C][/ROW]
[ROW][C]32[/C][C]8[/C][C]11.7864[/C][C]-3.78639[/C][/ROW]
[ROW][C]33[/C][C]12[/C][C]13.3252[/C][C]-1.32518[/C][/ROW]
[ROW][C]34[/C][C]6[/C][C]11.4511[/C][C]-5.45105[/C][/ROW]
[ROW][C]35[/C][C]9[/C][C]12.3107[/C][C]-3.31072[/C][/ROW]
[ROW][C]36[/C][C]10[/C][C]14.4538[/C][C]-4.45384[/C][/ROW]
[ROW][C]37[/C][C]11[/C][C]12.5285[/C][C]-1.52849[/C][/ROW]
[ROW][C]38[/C][C]10[/C][C]12.9102[/C][C]-2.91022[/C][/ROW]
[ROW][C]39[/C][C]10[/C][C]11.5949[/C][C]-1.59492[/C][/ROW]
[ROW][C]40[/C][C]13[/C][C]12.8265[/C][C]0.173548[/C][/ROW]
[ROW][C]41[/C][C]9[/C][C]12.1789[/C][C]-3.17893[/C][/ROW]
[ROW][C]42[/C][C]12[/C][C]14.2624[/C][C]-2.2624[/C][/ROW]
[ROW][C]43[/C][C]6[/C][C]10.5709[/C][C]-4.5709[/C][/ROW]
[ROW][C]44[/C][C]11[/C][C]13.9887[/C][C]-2.9887[/C][/ROW]
[ROW][C]45[/C][C]13[/C][C]11.6022[/C][C]1.39777[/C][/ROW]
[ROW][C]46[/C][C]11[/C][C]12.4471[/C][C]-1.44714[/C][/ROW]
[ROW][C]47[/C][C]12[/C][C]10.3812[/C][C]1.6188[/C][/ROW]
[ROW][C]48[/C][C]11[/C][C]13.4039[/C][C]-2.40394[/C][/ROW]
[ROW][C]49[/C][C]12[/C][C]12.3897[/C][C]-0.389684[/C][/ROW]
[ROW][C]50[/C][C]8[/C][C]11.1002[/C][C]-3.10016[/C][/ROW]
[ROW][C]51[/C][C]13[/C][C]9.82801[/C][C]3.17199[/C][/ROW]
[ROW][C]52[/C][C]12[/C][C]10.9364[/C][C]1.06357[/C][/ROW]
[ROW][C]53[/C][C]12[/C][C]11.9729[/C][C]0.0270642[/C][/ROW]
[ROW][C]54[/C][C]7[/C][C]11.071[/C][C]-4.07104[/C][/ROW]
[ROW][C]55[/C][C]11[/C][C]13.1593[/C][C]-2.15927[/C][/ROW]
[ROW][C]56[/C][C]12[/C][C]12.6381[/C][C]-0.63813[/C][/ROW]
[ROW][C]57[/C][C]13[/C][C]13.5265[/C][C]-0.52649[/C][/ROW]
[ROW][C]58[/C][C]10[/C][C]13.3749[/C][C]-3.37493[/C][/ROW]
[ROW][C]59[/C][C]6[/C][C]11.6995[/C][C]-5.69954[/C][/ROW]
[ROW][C]60[/C][C]14[/C][C]12.1312[/C][C]1.86879[/C][/ROW]
[ROW][C]61[/C][C]8[/C][C]9.56058[/C][C]-1.56058[/C][/ROW]
[ROW][C]62[/C][C]13[/C][C]11.6537[/C][C]1.34635[/C][/ROW]
[ROW][C]63[/C][C]9[/C][C]12.4918[/C][C]-3.49181[/C][/ROW]
[ROW][C]64[/C][C]13[/C][C]11.7136[/C][C]1.28644[/C][/ROW]
[ROW][C]65[/C][C]8[/C][C]10.6734[/C][C]-2.67345[/C][/ROW]
[ROW][C]66[/C][C]16[/C][C]13.6814[/C][C]2.31865[/C][/ROW]
[ROW][C]67[/C][C]9[/C][C]11.2953[/C][C]-2.29531[/C][/ROW]
[ROW][C]68[/C][C]9[/C][C]10.5691[/C][C]-1.56913[/C][/ROW]
[ROW][C]69[/C][C]11[/C][C]14.0434[/C][C]-3.04342[/C][/ROW]
[ROW][C]70[/C][C]13[/C][C]13.1961[/C][C]-0.196145[/C][/ROW]
[ROW][C]71[/C][C]15[/C][C]12.968[/C][C]2.03197[/C][/ROW]
[ROW][C]72[/C][C]12[/C][C]10.9962[/C][C]1.00381[/C][/ROW]
[ROW][C]73[/C][C]12[/C][C]13.4593[/C][C]-1.45929[/C][/ROW]
[ROW][C]74[/C][C]11[/C][C]11.3045[/C][C]-0.30447[/C][/ROW]
[ROW][C]75[/C][C]9[/C][C]11.174[/C][C]-2.17402[/C][/ROW]
[ROW][C]76[/C][C]15[/C][C]10.9898[/C][C]4.01018[/C][/ROW]
[ROW][C]77[/C][C]7[/C][C]12.2773[/C][C]-5.27732[/C][/ROW]
[ROW][C]78[/C][C]13[/C][C]12.8943[/C][C]0.105749[/C][/ROW]
[ROW][C]79[/C][C]NA[/C][C]NA[/C][C]-0.573344[/C][/ROW]
[ROW][C]80[/C][C]13[/C][C]11.2779[/C][C]1.72213[/C][/ROW]
[ROW][C]81[/C][C]13[/C][C]14.586[/C][C]-1.58604[/C][/ROW]
[ROW][C]82[/C][C]13[/C][C]14.265[/C][C]-1.26503[/C][/ROW]
[ROW][C]83[/C][C]10[/C][C]13.3392[/C][C]-3.33923[/C][/ROW]
[ROW][C]84[/C][C]8[/C][C]7.57424[/C][C]0.425757[/C][/ROW]
[ROW][C]85[/C][C]11[/C][C]8.54078[/C][C]2.45922[/C][/ROW]
[ROW][C]86[/C][C]13[/C][C]13.7545[/C][C]-0.754476[/C][/ROW]
[ROW][C]87[/C][C]11[/C][C]17.0089[/C][C]-6.00894[/C][/ROW]
[ROW][C]88[/C][C]4[/C][C]4.9222[/C][C]-0.922203[/C][/ROW]
[ROW][C]89[/C][C]10[/C][C]9.41609[/C][C]0.583915[/C][/ROW]
[ROW][C]90[/C][C]12[/C][C]11.6323[/C][C]0.367654[/C][/ROW]
[ROW][C]91[/C][C]11[/C][C]10.9385[/C][C]0.0615384[/C][/ROW]
[ROW][C]92[/C][C]11[/C][C]12.0926[/C][C]-1.09261[/C][/ROW]
[ROW][C]93[/C][C]9[/C][C]6.91904[/C][C]2.08096[/C][/ROW]
[ROW][C]94[/C][C]13[/C][C]10.277[/C][C]2.72301[/C][/ROW]
[ROW][C]95[/C][C]13[/C][C]18.0481[/C][C]-5.0481[/C][/ROW]
[ROW][C]96[/C][C]6[/C][C]7.03365[/C][C]-1.03365[/C][/ROW]
[ROW][C]97[/C][C]10[/C][C]12.9414[/C][C]-2.9414[/C][/ROW]
[ROW][C]98[/C][C]9[/C][C]12.7377[/C][C]-3.73769[/C][/ROW]
[ROW][C]99[/C][C]8[/C][C]9.3312[/C][C]-1.3312[/C][/ROW]
[ROW][C]100[/C][C]9[/C][C]14.2216[/C][C]-5.22158[/C][/ROW]
[ROW][C]101[/C][C]7[/C][C]7.03031[/C][C]-0.0303118[/C][/ROW]
[ROW][C]102[/C][C]11[/C][C]8.42475[/C][C]2.57525[/C][/ROW]
[ROW][C]103[/C][C]14[/C][C]16.6462[/C][C]-2.64615[/C][/ROW]
[ROW][C]104[/C][C]8[/C][C]7.8869[/C][C]0.113102[/C][/ROW]
[ROW][C]105[/C][C]11[/C][C]12.636[/C][C]-1.63601[/C][/ROW]
[ROW][C]106[/C][C]10[/C][C]12.2361[/C][C]-2.23612[/C][/ROW]
[ROW][C]107[/C][C]8[/C][C]8.84071[/C][C]-0.840705[/C][/ROW]
[ROW][C]108[/C][C]10[/C][C]7.64641[/C][C]2.35359[/C][/ROW]
[ROW][C]109[/C][C]14[/C][C]15.3387[/C][C]-1.33869[/C][/ROW]
[ROW][C]110[/C][C]9[/C][C]5.62782[/C][C]3.37218[/C][/ROW]
[ROW][C]111[/C][C]14[/C][C]19.6322[/C][C]-5.63222[/C][/ROW]
[ROW][C]112[/C][C]5[/C][C]9.17252[/C][C]-4.17252[/C][/ROW]
[ROW][C]113[/C][C]6[/C][C]6.24935[/C][C]-0.249351[/C][/ROW]
[ROW][C]114[/C][C]10[/C][C]8.75823[/C][C]1.24177[/C][/ROW]
[ROW][C]115[/C][C]12[/C][C]11.32[/C][C]0.679985[/C][/ROW]
[ROW][C]116[/C][C]11[/C][C]16.6811[/C][C]-5.68113[/C][/ROW]
[ROW][C]117[/C][C]4[/C][C]3.52044[/C][C]0.479556[/C][/ROW]
[ROW][C]118[/C][C]13[/C][C]9.79282[/C][C]3.20718[/C][/ROW]
[ROW][C]119[/C][C]18[/C][C]15.1172[/C][C]2.88283[/C][/ROW]
[ROW][C]120[/C][C]18[/C][C]16.6401[/C][C]1.35993[/C][/ROW]
[ROW][C]121[/C][C]17[/C][C]13.6749[/C][C]3.32512[/C][/ROW]
[ROW][C]122[/C][C]13[/C][C]18.3499[/C][C]-5.34991[/C][/ROW]
[ROW][C]123[/C][C]17[/C][C]13.5209[/C][C]3.47911[/C][/ROW]
[ROW][C]124[/C][C]19[/C][C]21.0759[/C][C]-2.07586[/C][/ROW]
[ROW][C]125[/C][C]16[/C][C]13.6914[/C][C]2.30857[/C][/ROW]
[ROW][C]126[/C][C]13[/C][C]12.6569[/C][C]0.343114[/C][/ROW]
[ROW][C]127[/C][C]18[/C][C]14.0627[/C][C]3.93733[/C][/ROW]
[ROW][C]128[/C][C]15[/C][C]18.8736[/C][C]-3.87364[/C][/ROW]
[ROW][C]129[/C][C]11[/C][C]11.7779[/C][C]-0.777898[/C][/ROW]
[ROW][C]130[/C][C]13[/C][C]12.1114[/C][C]0.88856[/C][/ROW]
[ROW][C]131[/C][C]16[/C][C]19.5794[/C][C]-3.57936[/C][/ROW]
[ROW][C]132[/C][C]14[/C][C]11.1834[/C][C]2.81663[/C][/ROW]
[ROW][C]133[/C][C]19[/C][C]17.43[/C][C]1.57001[/C][/ROW]
[ROW][C]134[/C][C]14[/C][C]10.8618[/C][C]3.13817[/C][/ROW]
[ROW][C]135[/C][C]15[/C][C]17.1266[/C][C]-2.12659[/C][/ROW]
[ROW][C]136[/C][C]16[/C][C]14.2[/C][C]1.79995[/C][/ROW]
[ROW][C]137[/C][C]15[/C][C]14.2029[/C][C]0.797112[/C][/ROW]
[ROW][C]138[/C][C]15[/C][C]15.3095[/C][C]-0.309489[/C][/ROW]
[ROW][C]139[/C][C]12[/C][C]13.7718[/C][C]-1.7718[/C][/ROW]
[ROW][C]140[/C][C]13[/C][C]9.78545[/C][C]3.21455[/C][/ROW]
[ROW][C]141[/C][C]17[/C][C]20.0604[/C][C]-3.0604[/C][/ROW]
[ROW][C]142[/C][C]9[/C][C]8.57163[/C][C]0.42837[/C][/ROW]
[ROW][C]143[/C][C]18[/C][C]20.0932[/C][C]-2.09321[/C][/ROW]
[ROW][C]144[/C][C]16[/C][C]14.7527[/C][C]1.24728[/C][/ROW]
[ROW][C]145[/C][C]12[/C][C]5.75838[/C][C]6.24162[/C][/ROW]
[ROW][C]146[/C][C]18[/C][C]16.5554[/C][C]1.44461[/C][/ROW]
[ROW][C]147[/C][C]15[/C][C]13.2618[/C][C]1.73815[/C][/ROW]
[ROW][C]148[/C][C]18[/C][C]15.7902[/C][C]2.20981[/C][/ROW]
[ROW][C]149[/C][C]16[/C][C]14.6538[/C][C]1.34621[/C][/ROW]
[ROW][C]150[/C][C]16[/C][C]12.6853[/C][C]3.31475[/C][/ROW]
[ROW][C]151[/C][C]18[/C][C]16.9564[/C][C]1.04364[/C][/ROW]
[ROW][C]152[/C][C]14[/C][C]14.178[/C][C]-0.177991[/C][/ROW]
[ROW][C]153[/C][C]12[/C][C]11.4189[/C][C]0.581099[/C][/ROW]
[ROW][C]154[/C][C]14[/C][C]17.0881[/C][C]-3.08805[/C][/ROW]
[ROW][C]155[/C][C]15[/C][C]13.4319[/C][C]1.56813[/C][/ROW]
[ROW][C]156[/C][C]18[/C][C]23.1691[/C][C]-5.16912[/C][/ROW]
[ROW][C]157[/C][C]10[/C][C]7.8458[/C][C]2.1542[/C][/ROW]
[ROW][C]158[/C][C]16[/C][C]13.7212[/C][C]2.27877[/C][/ROW]
[ROW][C]159[/C][C]18[/C][C]18.3776[/C][C]-0.377557[/C][/ROW]
[ROW][C]160[/C][C]17[/C][C]14.5448[/C][C]2.45522[/C][/ROW]
[ROW][C]161[/C][C]15[/C][C]14.5966[/C][C]0.403445[/C][/ROW]
[ROW][C]162[/C][C]14[/C][C]11.115[/C][C]2.88502[/C][/ROW]
[ROW][C]163[/C][C]19[/C][C]17.6017[/C][C]1.39825[/C][/ROW]
[ROW][C]164[/C][C]16[/C][C]18.2581[/C][C]-2.25812[/C][/ROW]
[ROW][C]165[/C][C]15[/C][C]15.7671[/C][C]-0.767132[/C][/ROW]
[ROW][C]166[/C][C]12[/C][C]6.55122[/C][C]5.44878[/C][/ROW]
[ROW][C]167[/C][C]18[/C][C]19.4906[/C][C]-1.49065[/C][/ROW]
[ROW][C]168[/C][C]16[/C][C]13.2234[/C][C]2.77663[/C][/ROW]
[ROW][C]169[/C][C]17[/C][C]11.8117[/C][C]5.18832[/C][/ROW]
[ROW][C]170[/C][C]16[/C][C]10.5641[/C][C]5.43588[/C][/ROW]
[ROW][C]171[/C][C]20[/C][C]19.8646[/C][C]0.135443[/C][/ROW]
[ROW][C]172[/C][C]11[/C][C]8.67953[/C][C]2.32047[/C][/ROW]
[ROW][C]173[/C][C]18[/C][C]13.5568[/C][C]4.44322[/C][/ROW]
[ROW][C]174[/C][C]15[/C][C]15.5613[/C][C]-0.561281[/C][/ROW]
[ROW][C]175[/C][C]15[/C][C]17.9452[/C][C]-2.94522[/C][/ROW]
[ROW][C]176[/C][C]11[/C][C]10.0459[/C][C]0.954115[/C][/ROW]
[ROW][C]177[/C][C]16[/C][C]11.1651[/C][C]4.8349[/C][/ROW]
[ROW][C]178[/C][C]18[/C][C]15.6693[/C][C]2.33066[/C][/ROW]
[ROW][C]179[/C][C]15[/C][C]15.8232[/C][C]-0.823191[/C][/ROW]
[ROW][C]180[/C][C]15[/C][C]15.8232[/C][C]-0.823191[/C][/ROW]
[ROW][C]181[/C][C]15[/C][C]10.3874[/C][C]4.61256[/C][/ROW]
[ROW][C]182[/C][C]18[/C][C]18.7034[/C][C]-0.703352[/C][/ROW]
[ROW][C]183[/C][C]13[/C][C]10.6832[/C][C]2.31679[/C][/ROW]
[ROW][C]184[/C][C]19[/C][C]16.8329[/C][C]2.16711[/C][/ROW]
[ROW][C]185[/C][C]15[/C][C]19.3178[/C][C]-4.31775[/C][/ROW]
[ROW][C]186[/C][C]8[/C][C]8.69943[/C][C]-0.699426[/C][/ROW]
[ROW][C]187[/C][C]13[/C][C]12.7905[/C][C]0.209451[/C][/ROW]
[ROW][C]188[/C][C]14[/C][C]12.1404[/C][C]1.85957[/C][/ROW]
[ROW][C]189[/C][C]19[/C][C]17.6549[/C][C]1.34514[/C][/ROW]
[ROW][C]190[/C][C]15[/C][C]13.8845[/C][C]1.11549[/C][/ROW]
[ROW][C]191[/C][C]13[/C][C]10.6963[/C][C]2.30368[/C][/ROW]
[ROW][C]192[/C][C]16[/C][C]11.2679[/C][C]4.73212[/C][/ROW]
[ROW][C]193[/C][C]17[/C][C]16.2193[/C][C]0.780714[/C][/ROW]
[ROW][C]194[/C][C]13[/C][C]10.9324[/C][C]2.06765[/C][/ROW]
[ROW][C]195[/C][C]12[/C][C]11.5167[/C][C]0.4833[/C][/ROW]
[ROW][C]196[/C][C]13[/C][C]14.4661[/C][C]-1.46609[/C][/ROW]
[ROW][C]197[/C][C]10[/C][C]7.74903[/C][C]2.25097[/C][/ROW]
[ROW][C]198[/C][C]15[/C][C]15.7866[/C][C]-0.786603[/C][/ROW]
[ROW][C]199[/C][C]10[/C][C]5.16873[/C][C]4.83127[/C][/ROW]
[ROW][C]200[/C][C]18[/C][C]16.0352[/C][C]1.9648[/C][/ROW]
[ROW][C]201[/C][C]14[/C][C]13.6345[/C][C]0.365533[/C][/ROW]
[ROW][C]202[/C][C]15[/C][C]16.9705[/C][C]-1.97051[/C][/ROW]
[ROW][C]203[/C][C]15[/C][C]15.1735[/C][C]-0.173519[/C][/ROW]
[ROW][C]204[/C][C]14[/C][C]10.68[/C][C]3.32[/C][/ROW]
[ROW][C]205[/C][C]15[/C][C]11.6384[/C][C]3.36164[/C][/ROW]
[ROW][C]206[/C][C]16[/C][C]14.5613[/C][C]1.43865[/C][/ROW]
[ROW][C]207[/C][C]19[/C][C]16.9129[/C][C]2.08709[/C][/ROW]
[ROW][C]208[/C][C]14[/C][C]13.1891[/C][C]0.810852[/C][/ROW]
[ROW][C]209[/C][C]14[/C][C]13.1836[/C][C]0.816368[/C][/ROW]
[ROW][C]210[/C][C]16[/C][C]15.5624[/C][C]0.437562[/C][/ROW]
[ROW][C]211[/C][C]13[/C][C]9.15769[/C][C]3.84231[/C][/ROW]
[ROW][C]212[/C][C]15[/C][C]18.3241[/C][C]-3.3241[/C][/ROW]
[ROW][C]213[/C][C]10[/C][C]8.02612[/C][C]1.97388[/C][/ROW]
[ROW][C]214[/C][C]13[/C][C]13.4865[/C][C]-0.486464[/C][/ROW]
[ROW][C]215[/C][C]12[/C][C]9.25964[/C][C]2.74036[/C][/ROW]
[ROW][C]216[/C][C]19[/C][C]16.4734[/C][C]2.52657[/C][/ROW]
[ROW][C]217[/C][C]17[/C][C]15.7434[/C][C]1.25664[/C][/ROW]
[ROW][C]218[/C][C]11[/C][C]9.37642[/C][C]1.62358[/C][/ROW]
[ROW][C]219[/C][C]15[/C][C]18.1179[/C][C]-3.1179[/C][/ROW]
[ROW][C]220[/C][C]12[/C][C]15.2978[/C][C]-3.29785[/C][/ROW]
[ROW][C]221[/C][C]13[/C][C]14.1348[/C][C]-1.1348[/C][/ROW]
[ROW][C]222[/C][C]16[/C][C]17.3879[/C][C]-1.38795[/C][/ROW]
[ROW][C]223[/C][C]12[/C][C]8.84444[/C][C]3.15556[/C][/ROW]
[ROW][C]224[/C][C]16[/C][C]15.6249[/C][C]0.375074[/C][/ROW]
[ROW][C]225[/C][C]14[/C][C]10.9777[/C][C]3.0223[/C][/ROW]
[ROW][C]226[/C][C]18[/C][C]18.3117[/C][C]-0.311658[/C][/ROW]
[ROW][C]227[/C][C]11[/C][C]10.8843[/C][C]0.115701[/C][/ROW]
[ROW][C]228[/C][C]16[/C][C]14.415[/C][C]1.58499[/C][/ROW]
[ROW][C]229[/C][C]18[/C][C]22.4425[/C][C]-4.44245[/C][/ROW]
[ROW][C]230[/C][C]8[/C][C]8.26218[/C][C]-0.262175[/C][/ROW]
[ROW][C]231[/C][C]12[/C][C]7.47816[/C][C]4.52184[/C][/ROW]
[ROW][C]232[/C][C]16[/C][C]13.2638[/C][C]2.73616[/C][/ROW]
[ROW][C]233[/C][C]19[/C][C]15.8025[/C][C]3.19748[/C][/ROW]
[ROW][C]234[/C][C]15[/C][C]11.4111[/C][C]3.58893[/C][/ROW]
[ROW][C]235[/C][C]17[/C][C]14.0383[/C][C]2.96171[/C][/ROW]
[ROW][C]236[/C][C]16[/C][C]12.7197[/C][C]3.2803[/C][/ROW]
[ROW][C]237[/C][C]18[/C][C]14.1126[/C][C]3.88737[/C][/ROW]
[ROW][C]238[/C][C]19[/C][C]13.2939[/C][C]5.70606[/C][/ROW]
[ROW][C]239[/C][C]19[/C][C]17.0243[/C][C]1.97574[/C][/ROW]
[ROW][C]240[/C][C]19[/C][C]17.7249[/C][C]1.27511[/C][/ROW]
[ROW][C]241[/C][C]13[/C][C]13.1889[/C][C]-0.188913[/C][/ROW]
[ROW][C]242[/C][C]13[/C][C]14.4664[/C][C]-1.46643[/C][/ROW]
[ROW][C]243[/C][C]10[/C][C]16.2172[/C][C]-6.21719[/C][/ROW]
[ROW][C]244[/C][C]5[/C][C]3.52818[/C][C]1.47182[/C][/ROW]
[ROW][C]245[/C][C]12[/C][C]13.9609[/C][C]-1.96091[/C][/ROW]
[ROW][C]246[/C][C]14[/C][C]15.3099[/C][C]-1.30991[/C][/ROW]
[ROW][C]247[/C][C]12[/C][C]11.3889[/C][C]0.611102[/C][/ROW]
[ROW][C]248[/C][C]12[/C][C]13.7693[/C][C]-1.76932[/C][/ROW]
[ROW][C]249[/C][C]13[/C][C]15.8274[/C][C]-2.82739[/C][/ROW]
[ROW][C]250[/C][C]11[/C][C]7.60951[/C][C]3.39049[/C][/ROW]
[ROW][C]251[/C][C]15[/C][C]9.56412[/C][C]5.43588[/C][/ROW]
[ROW][C]252[/C][C]20[/C][C]13.8964[/C][C]6.10362[/C][/ROW]
[ROW][C]253[/C][C]18[/C][C]19.1728[/C][C]-1.17279[/C][/ROW]
[ROW][C]254[/C][C]11[/C][C]11.4428[/C][C]-0.442753[/C][/ROW]
[ROW][C]255[/C][C]15[/C][C]12.7251[/C][C]2.27493[/C][/ROW]
[ROW][C]256[/C][C]18[/C][C]16.8154[/C][C]1.18459[/C][/ROW]
[ROW][C]257[/C][C]14[/C][C]13.1046[/C][C]0.895426[/C][/ROW]
[ROW][C]258[/C][C]16[/C][C]15.8734[/C][C]0.126632[/C][/ROW]
[ROW][C]259[/C][C]13[/C][C]13.1425[/C][C]-0.142496[/C][/ROW]
[ROW][C]260[/C][C]12[/C][C]14.2432[/C][C]-2.24319[/C][/ROW]
[ROW][C]261[/C][C]12[/C][C]11.5677[/C][C]0.432293[/C][/ROW]
[ROW][C]262[/C][C]15[/C][C]12.9018[/C][C]2.09824[/C][/ROW]
[ROW][C]263[/C][C]15[/C][C]15.5963[/C][C]-0.596252[/C][/ROW]
[ROW][C]264[/C][C]13[/C][C]11.7098[/C][C]1.29024[/C][/ROW]
[ROW][C]265[/C][C]17[/C][C]19.0922[/C][C]-2.09218[/C][/ROW]
[ROW][C]266[/C][C]8[/C][C]15.0983[/C][C]-7.09832[/C][/ROW]
[ROW][C]267[/C][C]8[/C][C]5.95363[/C][C]2.04637[/C][/ROW]
[ROW][C]268[/C][C]13[/C][C]16.3541[/C][C]-3.35412[/C][/ROW]
[ROW][C]269[/C][C]8[/C][C]7.86456[/C][C]0.135443[/C][/ROW]
[ROW][C]270[/C][C]11[/C][C]10.8616[/C][C]0.13841[/C][/ROW]
[ROW][C]271[/C][C]12[/C][C]14.6491[/C][C]-2.64912[/C][/ROW]
[ROW][C]272[/C][C]10[/C][C]6.60951[/C][C]3.39049[/C][/ROW]
[ROW][C]273[/C][C]15[/C][C]12.9334[/C][C]2.06659[/C][/ROW]
[ROW][C]274[/C][C]17[/C][C]16.8956[/C][C]0.104408[/C][/ROW]
[ROW][C]275[/C][C]13[/C][C]12.7701[/C][C]0.229869[/C][/ROW]
[ROW][C]276[/C][C]14[/C][C]9.49115[/C][C]4.50885[/C][/ROW]
[ROW][C]277[/C][C]16[/C][C]11.1631[/C][C]4.83694[/C][/ROW]
[ROW][C]278[/C][C]17[/C][C]16.2533[/C][C]0.746654[/C][/ROW]
[ROW][C]279[/C][C]11[/C][C]7.6981[/C][C]3.3019[/C][/ROW]
[ROW][C]280[/C][C]15[/C][C]14.1341[/C][C]0.8659[/C][/ROW]
[ROW][C]281[/C][C]12[/C][C]10.9396[/C][C]1.06037[/C][/ROW]
[ROW][C]282[/C][C]15[/C][C]13.0481[/C][C]1.95193[/C][/ROW]
[ROW][C]283[/C][C]18[/C][C]15.5858[/C][C]2.41423[/C][/ROW]
[ROW][C]284[/C][C]15[/C][C]13.3601[/C][C]1.63992[/C][/ROW]
[ROW][C]285[/C][C]15[/C][C]12.3253[/C][C]2.67465[/C][/ROW]
[ROW][C]286[/C][C]17[/C][C]19.796[/C][C]-2.79602[/C][/ROW]
[ROW][C]287[/C][C]8[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266319&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266319&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
11311.67721.32278
2711.2299-4.22995
31211.37220.627763
41312.1510.849023
5712.5723-5.57227
6711.3315-4.33146
71315.3281-2.32809
81512.50932.49072
91312.05530.944683
101112.4458-1.44579
11814.2217-6.22175
121112.8314-1.83141
13614.4544-8.45439
141111.571-0.571017
151213.4319-1.43189
1669.77207-3.77207
171111.2883-0.288318
181213.7186-1.71861
19912.11-3.11002
201012.2232-2.22325
211011.4548-1.45476
22611.7601-5.7601
231413.12570.874275
241113.2024-2.20242
251412.00241.99761
261212.5607-0.56067
271114.8267-3.82673
281613.27312.72693
291311.02081.97922
301010.9375-0.937482
311212.0889-0.0889002
32811.7864-3.78639
331213.3252-1.32518
34611.4511-5.45105
35912.3107-3.31072
361014.4538-4.45384
371112.5285-1.52849
381012.9102-2.91022
391011.5949-1.59492
401312.82650.173548
41912.1789-3.17893
421214.2624-2.2624
43610.5709-4.5709
441113.9887-2.9887
451311.60221.39777
461112.4471-1.44714
471210.38121.6188
481113.4039-2.40394
491212.3897-0.389684
50811.1002-3.10016
51139.828013.17199
521210.93641.06357
531211.97290.0270642
54711.071-4.07104
551113.1593-2.15927
561212.6381-0.63813
571313.5265-0.52649
581013.3749-3.37493
59611.6995-5.69954
601412.13121.86879
6189.56058-1.56058
621311.65371.34635
63912.4918-3.49181
641311.71361.28644
65810.6734-2.67345
661613.68142.31865
67911.2953-2.29531
68910.5691-1.56913
691114.0434-3.04342
701313.1961-0.196145
711512.9682.03197
721210.99621.00381
731213.4593-1.45929
741111.3045-0.30447
75911.174-2.17402
761510.98984.01018
77712.2773-5.27732
781312.89430.105749
79NANA-0.573344
801311.27791.72213
811314.586-1.58604
821314.265-1.26503
831013.3392-3.33923
8487.574240.425757
85118.540782.45922
861313.7545-0.754476
871117.0089-6.00894
8844.9222-0.922203
89109.416090.583915
901211.63230.367654
911110.93850.0615384
921112.0926-1.09261
9396.919042.08096
941310.2772.72301
951318.0481-5.0481
9667.03365-1.03365
971012.9414-2.9414
98912.7377-3.73769
9989.3312-1.3312
100914.2216-5.22158
10177.03031-0.0303118
102118.424752.57525
1031416.6462-2.64615
10487.88690.113102
1051112.636-1.63601
1061012.2361-2.23612
10788.84071-0.840705
108107.646412.35359
1091415.3387-1.33869
11095.627823.37218
1111419.6322-5.63222
11259.17252-4.17252
11366.24935-0.249351
114108.758231.24177
1151211.320.679985
1161116.6811-5.68113
11743.520440.479556
118139.792823.20718
1191815.11722.88283
1201816.64011.35993
1211713.67493.32512
1221318.3499-5.34991
1231713.52093.47911
1241921.0759-2.07586
1251613.69142.30857
1261312.65690.343114
1271814.06273.93733
1281518.8736-3.87364
1291111.7779-0.777898
1301312.11140.88856
1311619.5794-3.57936
1321411.18342.81663
1331917.431.57001
1341410.86183.13817
1351517.1266-2.12659
1361614.21.79995
1371514.20290.797112
1381515.3095-0.309489
1391213.7718-1.7718
140139.785453.21455
1411720.0604-3.0604
14298.571630.42837
1431820.0932-2.09321
1441614.75271.24728
145125.758386.24162
1461816.55541.44461
1471513.26181.73815
1481815.79022.20981
1491614.65381.34621
1501612.68533.31475
1511816.95641.04364
1521414.178-0.177991
1531211.41890.581099
1541417.0881-3.08805
1551513.43191.56813
1561823.1691-5.16912
157107.84582.1542
1581613.72122.27877
1591818.3776-0.377557
1601714.54482.45522
1611514.59660.403445
1621411.1152.88502
1631917.60171.39825
1641618.2581-2.25812
1651515.7671-0.767132
166126.551225.44878
1671819.4906-1.49065
1681613.22342.77663
1691711.81175.18832
1701610.56415.43588
1712019.86460.135443
172118.679532.32047
1731813.55684.44322
1741515.5613-0.561281
1751517.9452-2.94522
1761110.04590.954115
1771611.16514.8349
1781815.66932.33066
1791515.8232-0.823191
1801515.8232-0.823191
1811510.38744.61256
1821818.7034-0.703352
1831310.68322.31679
1841916.83292.16711
1851519.3178-4.31775
18688.69943-0.699426
1871312.79050.209451
1881412.14041.85957
1891917.65491.34514
1901513.88451.11549
1911310.69632.30368
1921611.26794.73212
1931716.21930.780714
1941310.93242.06765
1951211.51670.4833
1961314.4661-1.46609
197107.749032.25097
1981515.7866-0.786603
199105.168734.83127
2001816.03521.9648
2011413.63450.365533
2021516.9705-1.97051
2031515.1735-0.173519
2041410.683.32
2051511.63843.36164
2061614.56131.43865
2071916.91292.08709
2081413.18910.810852
2091413.18360.816368
2101615.56240.437562
211139.157693.84231
2121518.3241-3.3241
213108.026121.97388
2141313.4865-0.486464
215129.259642.74036
2161916.47342.52657
2171715.74341.25664
218119.376421.62358
2191518.1179-3.1179
2201215.2978-3.29785
2211314.1348-1.1348
2221617.3879-1.38795
223128.844443.15556
2241615.62490.375074
2251410.97773.0223
2261818.3117-0.311658
2271110.88430.115701
2281614.4151.58499
2291822.4425-4.44245
23088.26218-0.262175
231127.478164.52184
2321613.26382.73616
2331915.80253.19748
2341511.41113.58893
2351714.03832.96171
2361612.71973.2803
2371814.11263.88737
2381913.29395.70606
2391917.02431.97574
2401917.72491.27511
2411313.1889-0.188913
2421314.4664-1.46643
2431016.2172-6.21719
24453.528181.47182
2451213.9609-1.96091
2461415.3099-1.30991
2471211.38890.611102
2481213.7693-1.76932
2491315.8274-2.82739
250117.609513.39049
251159.564125.43588
2522013.89646.10362
2531819.1728-1.17279
2541111.4428-0.442753
2551512.72512.27493
2561816.81541.18459
2571413.10460.895426
2581615.87340.126632
2591313.1425-0.142496
2601214.2432-2.24319
2611211.56770.432293
2621512.90182.09824
2631515.5963-0.596252
2641311.70981.29024
2651719.0922-2.09218
266815.0983-7.09832
26785.953632.04637
2681316.3541-3.35412
26987.864560.135443
2701110.86160.13841
2711214.6491-2.64912
272106.609513.39049
2731512.93342.06659
2741716.89560.104408
2751312.77010.229869
276149.491154.50885
2771611.16314.83694
2781716.25330.746654
279117.69813.3019
2801514.13410.8659
2811210.93961.06037
2821513.04811.95193
2831815.58582.41423
2841513.36011.63992
2851512.32532.67465
2861719.796-2.79602
2878NANA






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.9522670.0954660.047733
100.9214160.1571680.0785838
110.9392180.1215640.0607819
120.89840.2031990.1016
130.9230470.1539060.0769528
140.8849310.2301380.115069
150.8336040.3327920.166396
160.805690.388620.19431
170.7966310.4067390.203369
180.7450710.5098580.254929
190.6830130.6339740.316987
200.6132910.7734190.386709
210.5414770.9170470.458523
220.6171040.7657920.382896
230.563470.8730610.43653
240.49940.99880.5006
250.446030.892060.55397
260.3904670.7809340.609533
270.3433560.6867130.656644
280.2914780.5829560.708522
290.3480660.6961330.651934
300.3009870.6019750.699013
310.2952010.5904020.704799
320.2609430.5218850.739057
330.2650350.530070.734965
340.3319170.6638350.668083
350.2918960.5837910.708104
360.3086520.6173040.691348
370.274350.54870.72565
380.2357940.4715880.764206
390.2013650.4027290.798635
400.2155190.4310380.784481
410.2601950.5203890.739805
420.2407970.4815950.759203
430.2945690.5891380.705431
440.262080.5241610.73792
450.2417660.4835320.758234
460.2179530.4359060.782047
470.2245140.4490290.775486
480.1999490.3998970.800051
490.1812750.362550.818725
500.2039750.407950.796025
510.2313470.4626950.768653
520.2268710.4537410.773129
530.2101520.4203040.789848
540.2048640.4097270.795136
550.1922140.3844290.807786
560.1866190.3732370.813381
570.1781110.3562230.821889
580.1600920.3201830.839908
590.2214430.4428860.778557
600.249080.498160.75092
610.2186020.4372040.781398
620.223220.446440.77678
630.2369560.4739130.763044
640.2313330.4626650.768667
650.223460.446920.77654
660.2744740.5489470.725526
670.2738140.5476280.726186
680.2445510.4891030.755449
690.246050.49210.75395
700.2307650.461530.769235
710.2435780.4871570.756422
720.2258410.4516820.774159
730.2109960.4219910.789004
740.1885070.3770140.811493
750.1693260.3386510.830674
760.1894370.3788750.810563
770.3124910.6249830.687509
780.3050260.6100510.694974
790.2915760.5831520.708424
800.2893170.5786350.710683
810.2860110.5720210.713989
820.2570060.5140120.742994
830.2824580.5649160.717542
840.25440.5088010.7456
850.2628310.5256620.737169
860.2374040.4748070.762596
870.3956250.7912490.604375
880.3786660.7573310.621334
890.3514150.7028290.648585
900.3192420.6384840.680758
910.2883910.5767810.711609
920.2698390.5396780.730161
930.2749960.5499930.725004
940.2973690.5947380.702631
950.3873880.7747770.612612
960.3874940.7749880.612506
970.3781610.7563220.621839
980.3941380.7882760.605862
990.3881680.7763360.611832
1000.4936050.9872110.506395
1010.4724520.9449040.527548
1020.5337860.9324280.466214
1030.5880970.8238050.411903
1040.562530.8749390.43747
1050.5506050.898790.449395
1060.5630070.8739870.436993
1070.5718640.8562720.428136
1080.5948030.8103940.405197
1090.6058230.7883550.394177
1100.6361680.7276630.363832
1110.8047430.3905140.195257
1120.8480050.3039890.151995
1130.8495420.3009160.150458
1140.8466770.3066450.153323
1150.8383130.3233740.161687
1160.8872260.2255480.112774
1170.8853090.2293830.114691
1180.9352580.1294840.0647418
1190.9580320.08393520.0419676
1200.954560.09087990.0454399
1210.9752410.04951720.0247586
1220.9738420.05231680.0261584
1230.9790140.0419710.0209855
1240.9831410.0337180.016859
1250.9844180.0311630.0155815
1260.9840480.03190420.0159521
1270.9913220.01735510.00867753
1280.9921250.01575090.00787545
1290.9904960.01900890.00950445
1300.9898360.02032780.0101639
1310.9885230.02295460.0114773
1320.9878880.02422330.0121116
1330.9867720.0264570.0132285
1340.9886240.0227510.0113755
1350.9882540.02349190.011746
1360.9895270.02094630.0104731
1370.9875590.02488250.0124413
1380.9846440.03071230.0153561
1390.9814890.03702250.0185112
1400.9858030.02839310.0141965
1410.9850330.02993460.0149673
1420.9828050.03438980.0171949
1430.9794640.04107240.0205362
1440.9774790.04504160.0225208
1450.9902150.01957050.00978523
1460.9897970.02040590.0102029
1470.9903750.01924940.00962468
1480.9902130.01957490.00978744
1490.9883520.02329670.0116483
1500.9892980.02140330.0107016
1510.987320.02536090.0126804
1520.9859670.02806590.014033
1530.9831660.03366750.0168337
1540.9802680.03946470.0197323
1550.978460.04308050.0215402
1560.9926210.01475740.00737872
1570.9917560.01648870.00824433
1580.9915330.01693430.00846717
1590.9895020.02099590.0104979
1600.9906120.01877530.00938765
1610.9884340.02313170.0115659
1620.9879930.02401430.0120072
1630.9862510.02749820.0137491
1640.9847920.03041560.0152078
1650.9817670.03646570.0182329
1660.9867530.02649480.0132474
1670.9845490.03090290.0154515
1680.985080.02983960.0149198
1690.997050.005899310.00294965
1700.9977760.00444720.0022236
1710.9970820.005835110.00291756
1720.9967760.006448530.00322426
1730.9977820.004435420.00221771
1740.9971090.005781860.00289093
1750.9974790.005042330.00252117
1760.9969510.006097810.00304891
1770.9978580.004283840.00214192
1780.9975760.004847850.00242393
1790.9969090.006182190.00309109
1800.9961230.007754190.00387709
1810.9971590.005682490.00284125
1820.9969380.006123740.00306187
1830.9968160.00636730.00318365
1840.9963950.007209240.00360462
1850.9969870.006026920.00301346
1860.9969350.006130350.00306518
1870.9961920.00761690.00380845
1880.9954780.009044450.00452223
1890.9942290.01154210.00577106
1900.9938360.01232790.00616394
1910.9926080.01478310.00739155
1920.9954460.009108560.00455428
1930.994440.011120.00555998
1940.9932560.01348750.00674376
1950.9915180.0169630.00848151
1960.9898610.02027820.0101391
1970.9878650.02426950.0121347
1980.9856150.02876990.0143849
1990.9903010.01939720.0096986
2000.9888170.02236620.0111831
2010.9874770.02504530.0125227
2020.9867130.02657370.0132868
2030.982980.03404070.0170203
2040.9839970.0320050.0160025
2050.98270.03460050.0173003
2060.9803470.03930660.0196533
2070.9803140.0393710.0196855
2080.9771110.04577710.0228885
2090.9726210.05475890.0273795
2100.9666820.06663610.0333181
2110.9770160.04596810.022984
2120.9741850.05162980.0258149
2130.974520.05095990.02548
2140.9679210.06415770.0320789
2150.9636370.07272680.0363634
2160.9592860.08142890.0407145
2170.9502350.09952920.0497646
2180.9420230.1159540.0579769
2190.9518740.09625150.0481258
2200.944690.1106210.0553103
2210.9446830.1106340.0553171
2220.9374550.1250910.0625455
2230.9358020.1283950.0641977
2240.9273660.1452690.0726345
2250.9166110.1667770.0833887
2260.8984380.2031250.101562
2270.8772090.2455810.122791
2280.8650180.2699640.134982
2290.8734770.2530460.126523
2300.8535650.2928690.146435
2310.8611030.2777940.138897
2320.8427040.3145910.157296
2330.8901290.2197410.109871
2340.9012890.1974220.0987108
2350.9085960.1828070.0914037
2360.8927990.2144020.107201
2370.902050.19590.0979501
2380.9299660.1400670.0700335
2390.9131550.1736890.0868447
2400.8957960.2084090.104204
2410.8901440.2197130.109856
2420.8776050.2447890.122395
2430.9397590.1204830.0602413
2440.938810.1223790.0611895
2450.9373060.1253880.0626941
2460.9197360.1605280.0802639
2470.8972890.2054220.102711
2480.8875220.2249550.112478
2490.8687840.2624320.131216
2500.858340.2833190.14166
2510.8416010.3167970.158399
2520.9182150.1635690.0817847
2530.8956350.2087290.104365
2540.8677820.2644370.132218
2550.8366550.326690.163345
2560.7973560.4052880.202644
2570.7527320.4945360.247268
2580.6996770.6006450.300323
2590.6505390.6989230.349461
2600.6497950.700410.350205
2610.5846940.8306120.415306
2620.5190460.9619080.480954
2630.5896310.8207380.410369
2640.5201440.9597120.479856
2650.504870.990260.49513
2660.8961030.2077940.103897
2670.8588980.2822030.141102
2680.9932670.01346510.00673256
2690.9944060.0111880.00559401
2700.9958450.008310010.00415501
2710.9998270.0003468250.000173412
2720.9994140.001172960.00058648
2730.9981830.003633230.00181661
2740.9951570.009686450.00484322
2750.9951180.009763340.00488167
2760.986820.02635910.0131796
2770.9898760.02024890.0101244
2780.9498550.100290.050145

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
9 & 0.952267 & 0.095466 & 0.047733 \tabularnewline
10 & 0.921416 & 0.157168 & 0.0785838 \tabularnewline
11 & 0.939218 & 0.121564 & 0.0607819 \tabularnewline
12 & 0.8984 & 0.203199 & 0.1016 \tabularnewline
13 & 0.923047 & 0.153906 & 0.0769528 \tabularnewline
14 & 0.884931 & 0.230138 & 0.115069 \tabularnewline
15 & 0.833604 & 0.332792 & 0.166396 \tabularnewline
16 & 0.80569 & 0.38862 & 0.19431 \tabularnewline
17 & 0.796631 & 0.406739 & 0.203369 \tabularnewline
18 & 0.745071 & 0.509858 & 0.254929 \tabularnewline
19 & 0.683013 & 0.633974 & 0.316987 \tabularnewline
20 & 0.613291 & 0.773419 & 0.386709 \tabularnewline
21 & 0.541477 & 0.917047 & 0.458523 \tabularnewline
22 & 0.617104 & 0.765792 & 0.382896 \tabularnewline
23 & 0.56347 & 0.873061 & 0.43653 \tabularnewline
24 & 0.4994 & 0.9988 & 0.5006 \tabularnewline
25 & 0.44603 & 0.89206 & 0.55397 \tabularnewline
26 & 0.390467 & 0.780934 & 0.609533 \tabularnewline
27 & 0.343356 & 0.686713 & 0.656644 \tabularnewline
28 & 0.291478 & 0.582956 & 0.708522 \tabularnewline
29 & 0.348066 & 0.696133 & 0.651934 \tabularnewline
30 & 0.300987 & 0.601975 & 0.699013 \tabularnewline
31 & 0.295201 & 0.590402 & 0.704799 \tabularnewline
32 & 0.260943 & 0.521885 & 0.739057 \tabularnewline
33 & 0.265035 & 0.53007 & 0.734965 \tabularnewline
34 & 0.331917 & 0.663835 & 0.668083 \tabularnewline
35 & 0.291896 & 0.583791 & 0.708104 \tabularnewline
36 & 0.308652 & 0.617304 & 0.691348 \tabularnewline
37 & 0.27435 & 0.5487 & 0.72565 \tabularnewline
38 & 0.235794 & 0.471588 & 0.764206 \tabularnewline
39 & 0.201365 & 0.402729 & 0.798635 \tabularnewline
40 & 0.215519 & 0.431038 & 0.784481 \tabularnewline
41 & 0.260195 & 0.520389 & 0.739805 \tabularnewline
42 & 0.240797 & 0.481595 & 0.759203 \tabularnewline
43 & 0.294569 & 0.589138 & 0.705431 \tabularnewline
44 & 0.26208 & 0.524161 & 0.73792 \tabularnewline
45 & 0.241766 & 0.483532 & 0.758234 \tabularnewline
46 & 0.217953 & 0.435906 & 0.782047 \tabularnewline
47 & 0.224514 & 0.449029 & 0.775486 \tabularnewline
48 & 0.199949 & 0.399897 & 0.800051 \tabularnewline
49 & 0.181275 & 0.36255 & 0.818725 \tabularnewline
50 & 0.203975 & 0.40795 & 0.796025 \tabularnewline
51 & 0.231347 & 0.462695 & 0.768653 \tabularnewline
52 & 0.226871 & 0.453741 & 0.773129 \tabularnewline
53 & 0.210152 & 0.420304 & 0.789848 \tabularnewline
54 & 0.204864 & 0.409727 & 0.795136 \tabularnewline
55 & 0.192214 & 0.384429 & 0.807786 \tabularnewline
56 & 0.186619 & 0.373237 & 0.813381 \tabularnewline
57 & 0.178111 & 0.356223 & 0.821889 \tabularnewline
58 & 0.160092 & 0.320183 & 0.839908 \tabularnewline
59 & 0.221443 & 0.442886 & 0.778557 \tabularnewline
60 & 0.24908 & 0.49816 & 0.75092 \tabularnewline
61 & 0.218602 & 0.437204 & 0.781398 \tabularnewline
62 & 0.22322 & 0.44644 & 0.77678 \tabularnewline
63 & 0.236956 & 0.473913 & 0.763044 \tabularnewline
64 & 0.231333 & 0.462665 & 0.768667 \tabularnewline
65 & 0.22346 & 0.44692 & 0.77654 \tabularnewline
66 & 0.274474 & 0.548947 & 0.725526 \tabularnewline
67 & 0.273814 & 0.547628 & 0.726186 \tabularnewline
68 & 0.244551 & 0.489103 & 0.755449 \tabularnewline
69 & 0.24605 & 0.4921 & 0.75395 \tabularnewline
70 & 0.230765 & 0.46153 & 0.769235 \tabularnewline
71 & 0.243578 & 0.487157 & 0.756422 \tabularnewline
72 & 0.225841 & 0.451682 & 0.774159 \tabularnewline
73 & 0.210996 & 0.421991 & 0.789004 \tabularnewline
74 & 0.188507 & 0.377014 & 0.811493 \tabularnewline
75 & 0.169326 & 0.338651 & 0.830674 \tabularnewline
76 & 0.189437 & 0.378875 & 0.810563 \tabularnewline
77 & 0.312491 & 0.624983 & 0.687509 \tabularnewline
78 & 0.305026 & 0.610051 & 0.694974 \tabularnewline
79 & 0.291576 & 0.583152 & 0.708424 \tabularnewline
80 & 0.289317 & 0.578635 & 0.710683 \tabularnewline
81 & 0.286011 & 0.572021 & 0.713989 \tabularnewline
82 & 0.257006 & 0.514012 & 0.742994 \tabularnewline
83 & 0.282458 & 0.564916 & 0.717542 \tabularnewline
84 & 0.2544 & 0.508801 & 0.7456 \tabularnewline
85 & 0.262831 & 0.525662 & 0.737169 \tabularnewline
86 & 0.237404 & 0.474807 & 0.762596 \tabularnewline
87 & 0.395625 & 0.791249 & 0.604375 \tabularnewline
88 & 0.378666 & 0.757331 & 0.621334 \tabularnewline
89 & 0.351415 & 0.702829 & 0.648585 \tabularnewline
90 & 0.319242 & 0.638484 & 0.680758 \tabularnewline
91 & 0.288391 & 0.576781 & 0.711609 \tabularnewline
92 & 0.269839 & 0.539678 & 0.730161 \tabularnewline
93 & 0.274996 & 0.549993 & 0.725004 \tabularnewline
94 & 0.297369 & 0.594738 & 0.702631 \tabularnewline
95 & 0.387388 & 0.774777 & 0.612612 \tabularnewline
96 & 0.387494 & 0.774988 & 0.612506 \tabularnewline
97 & 0.378161 & 0.756322 & 0.621839 \tabularnewline
98 & 0.394138 & 0.788276 & 0.605862 \tabularnewline
99 & 0.388168 & 0.776336 & 0.611832 \tabularnewline
100 & 0.493605 & 0.987211 & 0.506395 \tabularnewline
101 & 0.472452 & 0.944904 & 0.527548 \tabularnewline
102 & 0.533786 & 0.932428 & 0.466214 \tabularnewline
103 & 0.588097 & 0.823805 & 0.411903 \tabularnewline
104 & 0.56253 & 0.874939 & 0.43747 \tabularnewline
105 & 0.550605 & 0.89879 & 0.449395 \tabularnewline
106 & 0.563007 & 0.873987 & 0.436993 \tabularnewline
107 & 0.571864 & 0.856272 & 0.428136 \tabularnewline
108 & 0.594803 & 0.810394 & 0.405197 \tabularnewline
109 & 0.605823 & 0.788355 & 0.394177 \tabularnewline
110 & 0.636168 & 0.727663 & 0.363832 \tabularnewline
111 & 0.804743 & 0.390514 & 0.195257 \tabularnewline
112 & 0.848005 & 0.303989 & 0.151995 \tabularnewline
113 & 0.849542 & 0.300916 & 0.150458 \tabularnewline
114 & 0.846677 & 0.306645 & 0.153323 \tabularnewline
115 & 0.838313 & 0.323374 & 0.161687 \tabularnewline
116 & 0.887226 & 0.225548 & 0.112774 \tabularnewline
117 & 0.885309 & 0.229383 & 0.114691 \tabularnewline
118 & 0.935258 & 0.129484 & 0.0647418 \tabularnewline
119 & 0.958032 & 0.0839352 & 0.0419676 \tabularnewline
120 & 0.95456 & 0.0908799 & 0.0454399 \tabularnewline
121 & 0.975241 & 0.0495172 & 0.0247586 \tabularnewline
122 & 0.973842 & 0.0523168 & 0.0261584 \tabularnewline
123 & 0.979014 & 0.041971 & 0.0209855 \tabularnewline
124 & 0.983141 & 0.033718 & 0.016859 \tabularnewline
125 & 0.984418 & 0.031163 & 0.0155815 \tabularnewline
126 & 0.984048 & 0.0319042 & 0.0159521 \tabularnewline
127 & 0.991322 & 0.0173551 & 0.00867753 \tabularnewline
128 & 0.992125 & 0.0157509 & 0.00787545 \tabularnewline
129 & 0.990496 & 0.0190089 & 0.00950445 \tabularnewline
130 & 0.989836 & 0.0203278 & 0.0101639 \tabularnewline
131 & 0.988523 & 0.0229546 & 0.0114773 \tabularnewline
132 & 0.987888 & 0.0242233 & 0.0121116 \tabularnewline
133 & 0.986772 & 0.026457 & 0.0132285 \tabularnewline
134 & 0.988624 & 0.022751 & 0.0113755 \tabularnewline
135 & 0.988254 & 0.0234919 & 0.011746 \tabularnewline
136 & 0.989527 & 0.0209463 & 0.0104731 \tabularnewline
137 & 0.987559 & 0.0248825 & 0.0124413 \tabularnewline
138 & 0.984644 & 0.0307123 & 0.0153561 \tabularnewline
139 & 0.981489 & 0.0370225 & 0.0185112 \tabularnewline
140 & 0.985803 & 0.0283931 & 0.0141965 \tabularnewline
141 & 0.985033 & 0.0299346 & 0.0149673 \tabularnewline
142 & 0.982805 & 0.0343898 & 0.0171949 \tabularnewline
143 & 0.979464 & 0.0410724 & 0.0205362 \tabularnewline
144 & 0.977479 & 0.0450416 & 0.0225208 \tabularnewline
145 & 0.990215 & 0.0195705 & 0.00978523 \tabularnewline
146 & 0.989797 & 0.0204059 & 0.0102029 \tabularnewline
147 & 0.990375 & 0.0192494 & 0.00962468 \tabularnewline
148 & 0.990213 & 0.0195749 & 0.00978744 \tabularnewline
149 & 0.988352 & 0.0232967 & 0.0116483 \tabularnewline
150 & 0.989298 & 0.0214033 & 0.0107016 \tabularnewline
151 & 0.98732 & 0.0253609 & 0.0126804 \tabularnewline
152 & 0.985967 & 0.0280659 & 0.014033 \tabularnewline
153 & 0.983166 & 0.0336675 & 0.0168337 \tabularnewline
154 & 0.980268 & 0.0394647 & 0.0197323 \tabularnewline
155 & 0.97846 & 0.0430805 & 0.0215402 \tabularnewline
156 & 0.992621 & 0.0147574 & 0.00737872 \tabularnewline
157 & 0.991756 & 0.0164887 & 0.00824433 \tabularnewline
158 & 0.991533 & 0.0169343 & 0.00846717 \tabularnewline
159 & 0.989502 & 0.0209959 & 0.0104979 \tabularnewline
160 & 0.990612 & 0.0187753 & 0.00938765 \tabularnewline
161 & 0.988434 & 0.0231317 & 0.0115659 \tabularnewline
162 & 0.987993 & 0.0240143 & 0.0120072 \tabularnewline
163 & 0.986251 & 0.0274982 & 0.0137491 \tabularnewline
164 & 0.984792 & 0.0304156 & 0.0152078 \tabularnewline
165 & 0.981767 & 0.0364657 & 0.0182329 \tabularnewline
166 & 0.986753 & 0.0264948 & 0.0132474 \tabularnewline
167 & 0.984549 & 0.0309029 & 0.0154515 \tabularnewline
168 & 0.98508 & 0.0298396 & 0.0149198 \tabularnewline
169 & 0.99705 & 0.00589931 & 0.00294965 \tabularnewline
170 & 0.997776 & 0.0044472 & 0.0022236 \tabularnewline
171 & 0.997082 & 0.00583511 & 0.00291756 \tabularnewline
172 & 0.996776 & 0.00644853 & 0.00322426 \tabularnewline
173 & 0.997782 & 0.00443542 & 0.00221771 \tabularnewline
174 & 0.997109 & 0.00578186 & 0.00289093 \tabularnewline
175 & 0.997479 & 0.00504233 & 0.00252117 \tabularnewline
176 & 0.996951 & 0.00609781 & 0.00304891 \tabularnewline
177 & 0.997858 & 0.00428384 & 0.00214192 \tabularnewline
178 & 0.997576 & 0.00484785 & 0.00242393 \tabularnewline
179 & 0.996909 & 0.00618219 & 0.00309109 \tabularnewline
180 & 0.996123 & 0.00775419 & 0.00387709 \tabularnewline
181 & 0.997159 & 0.00568249 & 0.00284125 \tabularnewline
182 & 0.996938 & 0.00612374 & 0.00306187 \tabularnewline
183 & 0.996816 & 0.0063673 & 0.00318365 \tabularnewline
184 & 0.996395 & 0.00720924 & 0.00360462 \tabularnewline
185 & 0.996987 & 0.00602692 & 0.00301346 \tabularnewline
186 & 0.996935 & 0.00613035 & 0.00306518 \tabularnewline
187 & 0.996192 & 0.0076169 & 0.00380845 \tabularnewline
188 & 0.995478 & 0.00904445 & 0.00452223 \tabularnewline
189 & 0.994229 & 0.0115421 & 0.00577106 \tabularnewline
190 & 0.993836 & 0.0123279 & 0.00616394 \tabularnewline
191 & 0.992608 & 0.0147831 & 0.00739155 \tabularnewline
192 & 0.995446 & 0.00910856 & 0.00455428 \tabularnewline
193 & 0.99444 & 0.01112 & 0.00555998 \tabularnewline
194 & 0.993256 & 0.0134875 & 0.00674376 \tabularnewline
195 & 0.991518 & 0.016963 & 0.00848151 \tabularnewline
196 & 0.989861 & 0.0202782 & 0.0101391 \tabularnewline
197 & 0.987865 & 0.0242695 & 0.0121347 \tabularnewline
198 & 0.985615 & 0.0287699 & 0.0143849 \tabularnewline
199 & 0.990301 & 0.0193972 & 0.0096986 \tabularnewline
200 & 0.988817 & 0.0223662 & 0.0111831 \tabularnewline
201 & 0.987477 & 0.0250453 & 0.0125227 \tabularnewline
202 & 0.986713 & 0.0265737 & 0.0132868 \tabularnewline
203 & 0.98298 & 0.0340407 & 0.0170203 \tabularnewline
204 & 0.983997 & 0.032005 & 0.0160025 \tabularnewline
205 & 0.9827 & 0.0346005 & 0.0173003 \tabularnewline
206 & 0.980347 & 0.0393066 & 0.0196533 \tabularnewline
207 & 0.980314 & 0.039371 & 0.0196855 \tabularnewline
208 & 0.977111 & 0.0457771 & 0.0228885 \tabularnewline
209 & 0.972621 & 0.0547589 & 0.0273795 \tabularnewline
210 & 0.966682 & 0.0666361 & 0.0333181 \tabularnewline
211 & 0.977016 & 0.0459681 & 0.022984 \tabularnewline
212 & 0.974185 & 0.0516298 & 0.0258149 \tabularnewline
213 & 0.97452 & 0.0509599 & 0.02548 \tabularnewline
214 & 0.967921 & 0.0641577 & 0.0320789 \tabularnewline
215 & 0.963637 & 0.0727268 & 0.0363634 \tabularnewline
216 & 0.959286 & 0.0814289 & 0.0407145 \tabularnewline
217 & 0.950235 & 0.0995292 & 0.0497646 \tabularnewline
218 & 0.942023 & 0.115954 & 0.0579769 \tabularnewline
219 & 0.951874 & 0.0962515 & 0.0481258 \tabularnewline
220 & 0.94469 & 0.110621 & 0.0553103 \tabularnewline
221 & 0.944683 & 0.110634 & 0.0553171 \tabularnewline
222 & 0.937455 & 0.125091 & 0.0625455 \tabularnewline
223 & 0.935802 & 0.128395 & 0.0641977 \tabularnewline
224 & 0.927366 & 0.145269 & 0.0726345 \tabularnewline
225 & 0.916611 & 0.166777 & 0.0833887 \tabularnewline
226 & 0.898438 & 0.203125 & 0.101562 \tabularnewline
227 & 0.877209 & 0.245581 & 0.122791 \tabularnewline
228 & 0.865018 & 0.269964 & 0.134982 \tabularnewline
229 & 0.873477 & 0.253046 & 0.126523 \tabularnewline
230 & 0.853565 & 0.292869 & 0.146435 \tabularnewline
231 & 0.861103 & 0.277794 & 0.138897 \tabularnewline
232 & 0.842704 & 0.314591 & 0.157296 \tabularnewline
233 & 0.890129 & 0.219741 & 0.109871 \tabularnewline
234 & 0.901289 & 0.197422 & 0.0987108 \tabularnewline
235 & 0.908596 & 0.182807 & 0.0914037 \tabularnewline
236 & 0.892799 & 0.214402 & 0.107201 \tabularnewline
237 & 0.90205 & 0.1959 & 0.0979501 \tabularnewline
238 & 0.929966 & 0.140067 & 0.0700335 \tabularnewline
239 & 0.913155 & 0.173689 & 0.0868447 \tabularnewline
240 & 0.895796 & 0.208409 & 0.104204 \tabularnewline
241 & 0.890144 & 0.219713 & 0.109856 \tabularnewline
242 & 0.877605 & 0.244789 & 0.122395 \tabularnewline
243 & 0.939759 & 0.120483 & 0.0602413 \tabularnewline
244 & 0.93881 & 0.122379 & 0.0611895 \tabularnewline
245 & 0.937306 & 0.125388 & 0.0626941 \tabularnewline
246 & 0.919736 & 0.160528 & 0.0802639 \tabularnewline
247 & 0.897289 & 0.205422 & 0.102711 \tabularnewline
248 & 0.887522 & 0.224955 & 0.112478 \tabularnewline
249 & 0.868784 & 0.262432 & 0.131216 \tabularnewline
250 & 0.85834 & 0.283319 & 0.14166 \tabularnewline
251 & 0.841601 & 0.316797 & 0.158399 \tabularnewline
252 & 0.918215 & 0.163569 & 0.0817847 \tabularnewline
253 & 0.895635 & 0.208729 & 0.104365 \tabularnewline
254 & 0.867782 & 0.264437 & 0.132218 \tabularnewline
255 & 0.836655 & 0.32669 & 0.163345 \tabularnewline
256 & 0.797356 & 0.405288 & 0.202644 \tabularnewline
257 & 0.752732 & 0.494536 & 0.247268 \tabularnewline
258 & 0.699677 & 0.600645 & 0.300323 \tabularnewline
259 & 0.650539 & 0.698923 & 0.349461 \tabularnewline
260 & 0.649795 & 0.70041 & 0.350205 \tabularnewline
261 & 0.584694 & 0.830612 & 0.415306 \tabularnewline
262 & 0.519046 & 0.961908 & 0.480954 \tabularnewline
263 & 0.589631 & 0.820738 & 0.410369 \tabularnewline
264 & 0.520144 & 0.959712 & 0.479856 \tabularnewline
265 & 0.50487 & 0.99026 & 0.49513 \tabularnewline
266 & 0.896103 & 0.207794 & 0.103897 \tabularnewline
267 & 0.858898 & 0.282203 & 0.141102 \tabularnewline
268 & 0.993267 & 0.0134651 & 0.00673256 \tabularnewline
269 & 0.994406 & 0.011188 & 0.00559401 \tabularnewline
270 & 0.995845 & 0.00831001 & 0.00415501 \tabularnewline
271 & 0.999827 & 0.000346825 & 0.000173412 \tabularnewline
272 & 0.999414 & 0.00117296 & 0.00058648 \tabularnewline
273 & 0.998183 & 0.00363323 & 0.00181661 \tabularnewline
274 & 0.995157 & 0.00968645 & 0.00484322 \tabularnewline
275 & 0.995118 & 0.00976334 & 0.00488167 \tabularnewline
276 & 0.98682 & 0.0263591 & 0.0131796 \tabularnewline
277 & 0.989876 & 0.0202489 & 0.0101244 \tabularnewline
278 & 0.949855 & 0.10029 & 0.050145 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266319&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]9[/C][C]0.952267[/C][C]0.095466[/C][C]0.047733[/C][/ROW]
[ROW][C]10[/C][C]0.921416[/C][C]0.157168[/C][C]0.0785838[/C][/ROW]
[ROW][C]11[/C][C]0.939218[/C][C]0.121564[/C][C]0.0607819[/C][/ROW]
[ROW][C]12[/C][C]0.8984[/C][C]0.203199[/C][C]0.1016[/C][/ROW]
[ROW][C]13[/C][C]0.923047[/C][C]0.153906[/C][C]0.0769528[/C][/ROW]
[ROW][C]14[/C][C]0.884931[/C][C]0.230138[/C][C]0.115069[/C][/ROW]
[ROW][C]15[/C][C]0.833604[/C][C]0.332792[/C][C]0.166396[/C][/ROW]
[ROW][C]16[/C][C]0.80569[/C][C]0.38862[/C][C]0.19431[/C][/ROW]
[ROW][C]17[/C][C]0.796631[/C][C]0.406739[/C][C]0.203369[/C][/ROW]
[ROW][C]18[/C][C]0.745071[/C][C]0.509858[/C][C]0.254929[/C][/ROW]
[ROW][C]19[/C][C]0.683013[/C][C]0.633974[/C][C]0.316987[/C][/ROW]
[ROW][C]20[/C][C]0.613291[/C][C]0.773419[/C][C]0.386709[/C][/ROW]
[ROW][C]21[/C][C]0.541477[/C][C]0.917047[/C][C]0.458523[/C][/ROW]
[ROW][C]22[/C][C]0.617104[/C][C]0.765792[/C][C]0.382896[/C][/ROW]
[ROW][C]23[/C][C]0.56347[/C][C]0.873061[/C][C]0.43653[/C][/ROW]
[ROW][C]24[/C][C]0.4994[/C][C]0.9988[/C][C]0.5006[/C][/ROW]
[ROW][C]25[/C][C]0.44603[/C][C]0.89206[/C][C]0.55397[/C][/ROW]
[ROW][C]26[/C][C]0.390467[/C][C]0.780934[/C][C]0.609533[/C][/ROW]
[ROW][C]27[/C][C]0.343356[/C][C]0.686713[/C][C]0.656644[/C][/ROW]
[ROW][C]28[/C][C]0.291478[/C][C]0.582956[/C][C]0.708522[/C][/ROW]
[ROW][C]29[/C][C]0.348066[/C][C]0.696133[/C][C]0.651934[/C][/ROW]
[ROW][C]30[/C][C]0.300987[/C][C]0.601975[/C][C]0.699013[/C][/ROW]
[ROW][C]31[/C][C]0.295201[/C][C]0.590402[/C][C]0.704799[/C][/ROW]
[ROW][C]32[/C][C]0.260943[/C][C]0.521885[/C][C]0.739057[/C][/ROW]
[ROW][C]33[/C][C]0.265035[/C][C]0.53007[/C][C]0.734965[/C][/ROW]
[ROW][C]34[/C][C]0.331917[/C][C]0.663835[/C][C]0.668083[/C][/ROW]
[ROW][C]35[/C][C]0.291896[/C][C]0.583791[/C][C]0.708104[/C][/ROW]
[ROW][C]36[/C][C]0.308652[/C][C]0.617304[/C][C]0.691348[/C][/ROW]
[ROW][C]37[/C][C]0.27435[/C][C]0.5487[/C][C]0.72565[/C][/ROW]
[ROW][C]38[/C][C]0.235794[/C][C]0.471588[/C][C]0.764206[/C][/ROW]
[ROW][C]39[/C][C]0.201365[/C][C]0.402729[/C][C]0.798635[/C][/ROW]
[ROW][C]40[/C][C]0.215519[/C][C]0.431038[/C][C]0.784481[/C][/ROW]
[ROW][C]41[/C][C]0.260195[/C][C]0.520389[/C][C]0.739805[/C][/ROW]
[ROW][C]42[/C][C]0.240797[/C][C]0.481595[/C][C]0.759203[/C][/ROW]
[ROW][C]43[/C][C]0.294569[/C][C]0.589138[/C][C]0.705431[/C][/ROW]
[ROW][C]44[/C][C]0.26208[/C][C]0.524161[/C][C]0.73792[/C][/ROW]
[ROW][C]45[/C][C]0.241766[/C][C]0.483532[/C][C]0.758234[/C][/ROW]
[ROW][C]46[/C][C]0.217953[/C][C]0.435906[/C][C]0.782047[/C][/ROW]
[ROW][C]47[/C][C]0.224514[/C][C]0.449029[/C][C]0.775486[/C][/ROW]
[ROW][C]48[/C][C]0.199949[/C][C]0.399897[/C][C]0.800051[/C][/ROW]
[ROW][C]49[/C][C]0.181275[/C][C]0.36255[/C][C]0.818725[/C][/ROW]
[ROW][C]50[/C][C]0.203975[/C][C]0.40795[/C][C]0.796025[/C][/ROW]
[ROW][C]51[/C][C]0.231347[/C][C]0.462695[/C][C]0.768653[/C][/ROW]
[ROW][C]52[/C][C]0.226871[/C][C]0.453741[/C][C]0.773129[/C][/ROW]
[ROW][C]53[/C][C]0.210152[/C][C]0.420304[/C][C]0.789848[/C][/ROW]
[ROW][C]54[/C][C]0.204864[/C][C]0.409727[/C][C]0.795136[/C][/ROW]
[ROW][C]55[/C][C]0.192214[/C][C]0.384429[/C][C]0.807786[/C][/ROW]
[ROW][C]56[/C][C]0.186619[/C][C]0.373237[/C][C]0.813381[/C][/ROW]
[ROW][C]57[/C][C]0.178111[/C][C]0.356223[/C][C]0.821889[/C][/ROW]
[ROW][C]58[/C][C]0.160092[/C][C]0.320183[/C][C]0.839908[/C][/ROW]
[ROW][C]59[/C][C]0.221443[/C][C]0.442886[/C][C]0.778557[/C][/ROW]
[ROW][C]60[/C][C]0.24908[/C][C]0.49816[/C][C]0.75092[/C][/ROW]
[ROW][C]61[/C][C]0.218602[/C][C]0.437204[/C][C]0.781398[/C][/ROW]
[ROW][C]62[/C][C]0.22322[/C][C]0.44644[/C][C]0.77678[/C][/ROW]
[ROW][C]63[/C][C]0.236956[/C][C]0.473913[/C][C]0.763044[/C][/ROW]
[ROW][C]64[/C][C]0.231333[/C][C]0.462665[/C][C]0.768667[/C][/ROW]
[ROW][C]65[/C][C]0.22346[/C][C]0.44692[/C][C]0.77654[/C][/ROW]
[ROW][C]66[/C][C]0.274474[/C][C]0.548947[/C][C]0.725526[/C][/ROW]
[ROW][C]67[/C][C]0.273814[/C][C]0.547628[/C][C]0.726186[/C][/ROW]
[ROW][C]68[/C][C]0.244551[/C][C]0.489103[/C][C]0.755449[/C][/ROW]
[ROW][C]69[/C][C]0.24605[/C][C]0.4921[/C][C]0.75395[/C][/ROW]
[ROW][C]70[/C][C]0.230765[/C][C]0.46153[/C][C]0.769235[/C][/ROW]
[ROW][C]71[/C][C]0.243578[/C][C]0.487157[/C][C]0.756422[/C][/ROW]
[ROW][C]72[/C][C]0.225841[/C][C]0.451682[/C][C]0.774159[/C][/ROW]
[ROW][C]73[/C][C]0.210996[/C][C]0.421991[/C][C]0.789004[/C][/ROW]
[ROW][C]74[/C][C]0.188507[/C][C]0.377014[/C][C]0.811493[/C][/ROW]
[ROW][C]75[/C][C]0.169326[/C][C]0.338651[/C][C]0.830674[/C][/ROW]
[ROW][C]76[/C][C]0.189437[/C][C]0.378875[/C][C]0.810563[/C][/ROW]
[ROW][C]77[/C][C]0.312491[/C][C]0.624983[/C][C]0.687509[/C][/ROW]
[ROW][C]78[/C][C]0.305026[/C][C]0.610051[/C][C]0.694974[/C][/ROW]
[ROW][C]79[/C][C]0.291576[/C][C]0.583152[/C][C]0.708424[/C][/ROW]
[ROW][C]80[/C][C]0.289317[/C][C]0.578635[/C][C]0.710683[/C][/ROW]
[ROW][C]81[/C][C]0.286011[/C][C]0.572021[/C][C]0.713989[/C][/ROW]
[ROW][C]82[/C][C]0.257006[/C][C]0.514012[/C][C]0.742994[/C][/ROW]
[ROW][C]83[/C][C]0.282458[/C][C]0.564916[/C][C]0.717542[/C][/ROW]
[ROW][C]84[/C][C]0.2544[/C][C]0.508801[/C][C]0.7456[/C][/ROW]
[ROW][C]85[/C][C]0.262831[/C][C]0.525662[/C][C]0.737169[/C][/ROW]
[ROW][C]86[/C][C]0.237404[/C][C]0.474807[/C][C]0.762596[/C][/ROW]
[ROW][C]87[/C][C]0.395625[/C][C]0.791249[/C][C]0.604375[/C][/ROW]
[ROW][C]88[/C][C]0.378666[/C][C]0.757331[/C][C]0.621334[/C][/ROW]
[ROW][C]89[/C][C]0.351415[/C][C]0.702829[/C][C]0.648585[/C][/ROW]
[ROW][C]90[/C][C]0.319242[/C][C]0.638484[/C][C]0.680758[/C][/ROW]
[ROW][C]91[/C][C]0.288391[/C][C]0.576781[/C][C]0.711609[/C][/ROW]
[ROW][C]92[/C][C]0.269839[/C][C]0.539678[/C][C]0.730161[/C][/ROW]
[ROW][C]93[/C][C]0.274996[/C][C]0.549993[/C][C]0.725004[/C][/ROW]
[ROW][C]94[/C][C]0.297369[/C][C]0.594738[/C][C]0.702631[/C][/ROW]
[ROW][C]95[/C][C]0.387388[/C][C]0.774777[/C][C]0.612612[/C][/ROW]
[ROW][C]96[/C][C]0.387494[/C][C]0.774988[/C][C]0.612506[/C][/ROW]
[ROW][C]97[/C][C]0.378161[/C][C]0.756322[/C][C]0.621839[/C][/ROW]
[ROW][C]98[/C][C]0.394138[/C][C]0.788276[/C][C]0.605862[/C][/ROW]
[ROW][C]99[/C][C]0.388168[/C][C]0.776336[/C][C]0.611832[/C][/ROW]
[ROW][C]100[/C][C]0.493605[/C][C]0.987211[/C][C]0.506395[/C][/ROW]
[ROW][C]101[/C][C]0.472452[/C][C]0.944904[/C][C]0.527548[/C][/ROW]
[ROW][C]102[/C][C]0.533786[/C][C]0.932428[/C][C]0.466214[/C][/ROW]
[ROW][C]103[/C][C]0.588097[/C][C]0.823805[/C][C]0.411903[/C][/ROW]
[ROW][C]104[/C][C]0.56253[/C][C]0.874939[/C][C]0.43747[/C][/ROW]
[ROW][C]105[/C][C]0.550605[/C][C]0.89879[/C][C]0.449395[/C][/ROW]
[ROW][C]106[/C][C]0.563007[/C][C]0.873987[/C][C]0.436993[/C][/ROW]
[ROW][C]107[/C][C]0.571864[/C][C]0.856272[/C][C]0.428136[/C][/ROW]
[ROW][C]108[/C][C]0.594803[/C][C]0.810394[/C][C]0.405197[/C][/ROW]
[ROW][C]109[/C][C]0.605823[/C][C]0.788355[/C][C]0.394177[/C][/ROW]
[ROW][C]110[/C][C]0.636168[/C][C]0.727663[/C][C]0.363832[/C][/ROW]
[ROW][C]111[/C][C]0.804743[/C][C]0.390514[/C][C]0.195257[/C][/ROW]
[ROW][C]112[/C][C]0.848005[/C][C]0.303989[/C][C]0.151995[/C][/ROW]
[ROW][C]113[/C][C]0.849542[/C][C]0.300916[/C][C]0.150458[/C][/ROW]
[ROW][C]114[/C][C]0.846677[/C][C]0.306645[/C][C]0.153323[/C][/ROW]
[ROW][C]115[/C][C]0.838313[/C][C]0.323374[/C][C]0.161687[/C][/ROW]
[ROW][C]116[/C][C]0.887226[/C][C]0.225548[/C][C]0.112774[/C][/ROW]
[ROW][C]117[/C][C]0.885309[/C][C]0.229383[/C][C]0.114691[/C][/ROW]
[ROW][C]118[/C][C]0.935258[/C][C]0.129484[/C][C]0.0647418[/C][/ROW]
[ROW][C]119[/C][C]0.958032[/C][C]0.0839352[/C][C]0.0419676[/C][/ROW]
[ROW][C]120[/C][C]0.95456[/C][C]0.0908799[/C][C]0.0454399[/C][/ROW]
[ROW][C]121[/C][C]0.975241[/C][C]0.0495172[/C][C]0.0247586[/C][/ROW]
[ROW][C]122[/C][C]0.973842[/C][C]0.0523168[/C][C]0.0261584[/C][/ROW]
[ROW][C]123[/C][C]0.979014[/C][C]0.041971[/C][C]0.0209855[/C][/ROW]
[ROW][C]124[/C][C]0.983141[/C][C]0.033718[/C][C]0.016859[/C][/ROW]
[ROW][C]125[/C][C]0.984418[/C][C]0.031163[/C][C]0.0155815[/C][/ROW]
[ROW][C]126[/C][C]0.984048[/C][C]0.0319042[/C][C]0.0159521[/C][/ROW]
[ROW][C]127[/C][C]0.991322[/C][C]0.0173551[/C][C]0.00867753[/C][/ROW]
[ROW][C]128[/C][C]0.992125[/C][C]0.0157509[/C][C]0.00787545[/C][/ROW]
[ROW][C]129[/C][C]0.990496[/C][C]0.0190089[/C][C]0.00950445[/C][/ROW]
[ROW][C]130[/C][C]0.989836[/C][C]0.0203278[/C][C]0.0101639[/C][/ROW]
[ROW][C]131[/C][C]0.988523[/C][C]0.0229546[/C][C]0.0114773[/C][/ROW]
[ROW][C]132[/C][C]0.987888[/C][C]0.0242233[/C][C]0.0121116[/C][/ROW]
[ROW][C]133[/C][C]0.986772[/C][C]0.026457[/C][C]0.0132285[/C][/ROW]
[ROW][C]134[/C][C]0.988624[/C][C]0.022751[/C][C]0.0113755[/C][/ROW]
[ROW][C]135[/C][C]0.988254[/C][C]0.0234919[/C][C]0.011746[/C][/ROW]
[ROW][C]136[/C][C]0.989527[/C][C]0.0209463[/C][C]0.0104731[/C][/ROW]
[ROW][C]137[/C][C]0.987559[/C][C]0.0248825[/C][C]0.0124413[/C][/ROW]
[ROW][C]138[/C][C]0.984644[/C][C]0.0307123[/C][C]0.0153561[/C][/ROW]
[ROW][C]139[/C][C]0.981489[/C][C]0.0370225[/C][C]0.0185112[/C][/ROW]
[ROW][C]140[/C][C]0.985803[/C][C]0.0283931[/C][C]0.0141965[/C][/ROW]
[ROW][C]141[/C][C]0.985033[/C][C]0.0299346[/C][C]0.0149673[/C][/ROW]
[ROW][C]142[/C][C]0.982805[/C][C]0.0343898[/C][C]0.0171949[/C][/ROW]
[ROW][C]143[/C][C]0.979464[/C][C]0.0410724[/C][C]0.0205362[/C][/ROW]
[ROW][C]144[/C][C]0.977479[/C][C]0.0450416[/C][C]0.0225208[/C][/ROW]
[ROW][C]145[/C][C]0.990215[/C][C]0.0195705[/C][C]0.00978523[/C][/ROW]
[ROW][C]146[/C][C]0.989797[/C][C]0.0204059[/C][C]0.0102029[/C][/ROW]
[ROW][C]147[/C][C]0.990375[/C][C]0.0192494[/C][C]0.00962468[/C][/ROW]
[ROW][C]148[/C][C]0.990213[/C][C]0.0195749[/C][C]0.00978744[/C][/ROW]
[ROW][C]149[/C][C]0.988352[/C][C]0.0232967[/C][C]0.0116483[/C][/ROW]
[ROW][C]150[/C][C]0.989298[/C][C]0.0214033[/C][C]0.0107016[/C][/ROW]
[ROW][C]151[/C][C]0.98732[/C][C]0.0253609[/C][C]0.0126804[/C][/ROW]
[ROW][C]152[/C][C]0.985967[/C][C]0.0280659[/C][C]0.014033[/C][/ROW]
[ROW][C]153[/C][C]0.983166[/C][C]0.0336675[/C][C]0.0168337[/C][/ROW]
[ROW][C]154[/C][C]0.980268[/C][C]0.0394647[/C][C]0.0197323[/C][/ROW]
[ROW][C]155[/C][C]0.97846[/C][C]0.0430805[/C][C]0.0215402[/C][/ROW]
[ROW][C]156[/C][C]0.992621[/C][C]0.0147574[/C][C]0.00737872[/C][/ROW]
[ROW][C]157[/C][C]0.991756[/C][C]0.0164887[/C][C]0.00824433[/C][/ROW]
[ROW][C]158[/C][C]0.991533[/C][C]0.0169343[/C][C]0.00846717[/C][/ROW]
[ROW][C]159[/C][C]0.989502[/C][C]0.0209959[/C][C]0.0104979[/C][/ROW]
[ROW][C]160[/C][C]0.990612[/C][C]0.0187753[/C][C]0.00938765[/C][/ROW]
[ROW][C]161[/C][C]0.988434[/C][C]0.0231317[/C][C]0.0115659[/C][/ROW]
[ROW][C]162[/C][C]0.987993[/C][C]0.0240143[/C][C]0.0120072[/C][/ROW]
[ROW][C]163[/C][C]0.986251[/C][C]0.0274982[/C][C]0.0137491[/C][/ROW]
[ROW][C]164[/C][C]0.984792[/C][C]0.0304156[/C][C]0.0152078[/C][/ROW]
[ROW][C]165[/C][C]0.981767[/C][C]0.0364657[/C][C]0.0182329[/C][/ROW]
[ROW][C]166[/C][C]0.986753[/C][C]0.0264948[/C][C]0.0132474[/C][/ROW]
[ROW][C]167[/C][C]0.984549[/C][C]0.0309029[/C][C]0.0154515[/C][/ROW]
[ROW][C]168[/C][C]0.98508[/C][C]0.0298396[/C][C]0.0149198[/C][/ROW]
[ROW][C]169[/C][C]0.99705[/C][C]0.00589931[/C][C]0.00294965[/C][/ROW]
[ROW][C]170[/C][C]0.997776[/C][C]0.0044472[/C][C]0.0022236[/C][/ROW]
[ROW][C]171[/C][C]0.997082[/C][C]0.00583511[/C][C]0.00291756[/C][/ROW]
[ROW][C]172[/C][C]0.996776[/C][C]0.00644853[/C][C]0.00322426[/C][/ROW]
[ROW][C]173[/C][C]0.997782[/C][C]0.00443542[/C][C]0.00221771[/C][/ROW]
[ROW][C]174[/C][C]0.997109[/C][C]0.00578186[/C][C]0.00289093[/C][/ROW]
[ROW][C]175[/C][C]0.997479[/C][C]0.00504233[/C][C]0.00252117[/C][/ROW]
[ROW][C]176[/C][C]0.996951[/C][C]0.00609781[/C][C]0.00304891[/C][/ROW]
[ROW][C]177[/C][C]0.997858[/C][C]0.00428384[/C][C]0.00214192[/C][/ROW]
[ROW][C]178[/C][C]0.997576[/C][C]0.00484785[/C][C]0.00242393[/C][/ROW]
[ROW][C]179[/C][C]0.996909[/C][C]0.00618219[/C][C]0.00309109[/C][/ROW]
[ROW][C]180[/C][C]0.996123[/C][C]0.00775419[/C][C]0.00387709[/C][/ROW]
[ROW][C]181[/C][C]0.997159[/C][C]0.00568249[/C][C]0.00284125[/C][/ROW]
[ROW][C]182[/C][C]0.996938[/C][C]0.00612374[/C][C]0.00306187[/C][/ROW]
[ROW][C]183[/C][C]0.996816[/C][C]0.0063673[/C][C]0.00318365[/C][/ROW]
[ROW][C]184[/C][C]0.996395[/C][C]0.00720924[/C][C]0.00360462[/C][/ROW]
[ROW][C]185[/C][C]0.996987[/C][C]0.00602692[/C][C]0.00301346[/C][/ROW]
[ROW][C]186[/C][C]0.996935[/C][C]0.00613035[/C][C]0.00306518[/C][/ROW]
[ROW][C]187[/C][C]0.996192[/C][C]0.0076169[/C][C]0.00380845[/C][/ROW]
[ROW][C]188[/C][C]0.995478[/C][C]0.00904445[/C][C]0.00452223[/C][/ROW]
[ROW][C]189[/C][C]0.994229[/C][C]0.0115421[/C][C]0.00577106[/C][/ROW]
[ROW][C]190[/C][C]0.993836[/C][C]0.0123279[/C][C]0.00616394[/C][/ROW]
[ROW][C]191[/C][C]0.992608[/C][C]0.0147831[/C][C]0.00739155[/C][/ROW]
[ROW][C]192[/C][C]0.995446[/C][C]0.00910856[/C][C]0.00455428[/C][/ROW]
[ROW][C]193[/C][C]0.99444[/C][C]0.01112[/C][C]0.00555998[/C][/ROW]
[ROW][C]194[/C][C]0.993256[/C][C]0.0134875[/C][C]0.00674376[/C][/ROW]
[ROW][C]195[/C][C]0.991518[/C][C]0.016963[/C][C]0.00848151[/C][/ROW]
[ROW][C]196[/C][C]0.989861[/C][C]0.0202782[/C][C]0.0101391[/C][/ROW]
[ROW][C]197[/C][C]0.987865[/C][C]0.0242695[/C][C]0.0121347[/C][/ROW]
[ROW][C]198[/C][C]0.985615[/C][C]0.0287699[/C][C]0.0143849[/C][/ROW]
[ROW][C]199[/C][C]0.990301[/C][C]0.0193972[/C][C]0.0096986[/C][/ROW]
[ROW][C]200[/C][C]0.988817[/C][C]0.0223662[/C][C]0.0111831[/C][/ROW]
[ROW][C]201[/C][C]0.987477[/C][C]0.0250453[/C][C]0.0125227[/C][/ROW]
[ROW][C]202[/C][C]0.986713[/C][C]0.0265737[/C][C]0.0132868[/C][/ROW]
[ROW][C]203[/C][C]0.98298[/C][C]0.0340407[/C][C]0.0170203[/C][/ROW]
[ROW][C]204[/C][C]0.983997[/C][C]0.032005[/C][C]0.0160025[/C][/ROW]
[ROW][C]205[/C][C]0.9827[/C][C]0.0346005[/C][C]0.0173003[/C][/ROW]
[ROW][C]206[/C][C]0.980347[/C][C]0.0393066[/C][C]0.0196533[/C][/ROW]
[ROW][C]207[/C][C]0.980314[/C][C]0.039371[/C][C]0.0196855[/C][/ROW]
[ROW][C]208[/C][C]0.977111[/C][C]0.0457771[/C][C]0.0228885[/C][/ROW]
[ROW][C]209[/C][C]0.972621[/C][C]0.0547589[/C][C]0.0273795[/C][/ROW]
[ROW][C]210[/C][C]0.966682[/C][C]0.0666361[/C][C]0.0333181[/C][/ROW]
[ROW][C]211[/C][C]0.977016[/C][C]0.0459681[/C][C]0.022984[/C][/ROW]
[ROW][C]212[/C][C]0.974185[/C][C]0.0516298[/C][C]0.0258149[/C][/ROW]
[ROW][C]213[/C][C]0.97452[/C][C]0.0509599[/C][C]0.02548[/C][/ROW]
[ROW][C]214[/C][C]0.967921[/C][C]0.0641577[/C][C]0.0320789[/C][/ROW]
[ROW][C]215[/C][C]0.963637[/C][C]0.0727268[/C][C]0.0363634[/C][/ROW]
[ROW][C]216[/C][C]0.959286[/C][C]0.0814289[/C][C]0.0407145[/C][/ROW]
[ROW][C]217[/C][C]0.950235[/C][C]0.0995292[/C][C]0.0497646[/C][/ROW]
[ROW][C]218[/C][C]0.942023[/C][C]0.115954[/C][C]0.0579769[/C][/ROW]
[ROW][C]219[/C][C]0.951874[/C][C]0.0962515[/C][C]0.0481258[/C][/ROW]
[ROW][C]220[/C][C]0.94469[/C][C]0.110621[/C][C]0.0553103[/C][/ROW]
[ROW][C]221[/C][C]0.944683[/C][C]0.110634[/C][C]0.0553171[/C][/ROW]
[ROW][C]222[/C][C]0.937455[/C][C]0.125091[/C][C]0.0625455[/C][/ROW]
[ROW][C]223[/C][C]0.935802[/C][C]0.128395[/C][C]0.0641977[/C][/ROW]
[ROW][C]224[/C][C]0.927366[/C][C]0.145269[/C][C]0.0726345[/C][/ROW]
[ROW][C]225[/C][C]0.916611[/C][C]0.166777[/C][C]0.0833887[/C][/ROW]
[ROW][C]226[/C][C]0.898438[/C][C]0.203125[/C][C]0.101562[/C][/ROW]
[ROW][C]227[/C][C]0.877209[/C][C]0.245581[/C][C]0.122791[/C][/ROW]
[ROW][C]228[/C][C]0.865018[/C][C]0.269964[/C][C]0.134982[/C][/ROW]
[ROW][C]229[/C][C]0.873477[/C][C]0.253046[/C][C]0.126523[/C][/ROW]
[ROW][C]230[/C][C]0.853565[/C][C]0.292869[/C][C]0.146435[/C][/ROW]
[ROW][C]231[/C][C]0.861103[/C][C]0.277794[/C][C]0.138897[/C][/ROW]
[ROW][C]232[/C][C]0.842704[/C][C]0.314591[/C][C]0.157296[/C][/ROW]
[ROW][C]233[/C][C]0.890129[/C][C]0.219741[/C][C]0.109871[/C][/ROW]
[ROW][C]234[/C][C]0.901289[/C][C]0.197422[/C][C]0.0987108[/C][/ROW]
[ROW][C]235[/C][C]0.908596[/C][C]0.182807[/C][C]0.0914037[/C][/ROW]
[ROW][C]236[/C][C]0.892799[/C][C]0.214402[/C][C]0.107201[/C][/ROW]
[ROW][C]237[/C][C]0.90205[/C][C]0.1959[/C][C]0.0979501[/C][/ROW]
[ROW][C]238[/C][C]0.929966[/C][C]0.140067[/C][C]0.0700335[/C][/ROW]
[ROW][C]239[/C][C]0.913155[/C][C]0.173689[/C][C]0.0868447[/C][/ROW]
[ROW][C]240[/C][C]0.895796[/C][C]0.208409[/C][C]0.104204[/C][/ROW]
[ROW][C]241[/C][C]0.890144[/C][C]0.219713[/C][C]0.109856[/C][/ROW]
[ROW][C]242[/C][C]0.877605[/C][C]0.244789[/C][C]0.122395[/C][/ROW]
[ROW][C]243[/C][C]0.939759[/C][C]0.120483[/C][C]0.0602413[/C][/ROW]
[ROW][C]244[/C][C]0.93881[/C][C]0.122379[/C][C]0.0611895[/C][/ROW]
[ROW][C]245[/C][C]0.937306[/C][C]0.125388[/C][C]0.0626941[/C][/ROW]
[ROW][C]246[/C][C]0.919736[/C][C]0.160528[/C][C]0.0802639[/C][/ROW]
[ROW][C]247[/C][C]0.897289[/C][C]0.205422[/C][C]0.102711[/C][/ROW]
[ROW][C]248[/C][C]0.887522[/C][C]0.224955[/C][C]0.112478[/C][/ROW]
[ROW][C]249[/C][C]0.868784[/C][C]0.262432[/C][C]0.131216[/C][/ROW]
[ROW][C]250[/C][C]0.85834[/C][C]0.283319[/C][C]0.14166[/C][/ROW]
[ROW][C]251[/C][C]0.841601[/C][C]0.316797[/C][C]0.158399[/C][/ROW]
[ROW][C]252[/C][C]0.918215[/C][C]0.163569[/C][C]0.0817847[/C][/ROW]
[ROW][C]253[/C][C]0.895635[/C][C]0.208729[/C][C]0.104365[/C][/ROW]
[ROW][C]254[/C][C]0.867782[/C][C]0.264437[/C][C]0.132218[/C][/ROW]
[ROW][C]255[/C][C]0.836655[/C][C]0.32669[/C][C]0.163345[/C][/ROW]
[ROW][C]256[/C][C]0.797356[/C][C]0.405288[/C][C]0.202644[/C][/ROW]
[ROW][C]257[/C][C]0.752732[/C][C]0.494536[/C][C]0.247268[/C][/ROW]
[ROW][C]258[/C][C]0.699677[/C][C]0.600645[/C][C]0.300323[/C][/ROW]
[ROW][C]259[/C][C]0.650539[/C][C]0.698923[/C][C]0.349461[/C][/ROW]
[ROW][C]260[/C][C]0.649795[/C][C]0.70041[/C][C]0.350205[/C][/ROW]
[ROW][C]261[/C][C]0.584694[/C][C]0.830612[/C][C]0.415306[/C][/ROW]
[ROW][C]262[/C][C]0.519046[/C][C]0.961908[/C][C]0.480954[/C][/ROW]
[ROW][C]263[/C][C]0.589631[/C][C]0.820738[/C][C]0.410369[/C][/ROW]
[ROW][C]264[/C][C]0.520144[/C][C]0.959712[/C][C]0.479856[/C][/ROW]
[ROW][C]265[/C][C]0.50487[/C][C]0.99026[/C][C]0.49513[/C][/ROW]
[ROW][C]266[/C][C]0.896103[/C][C]0.207794[/C][C]0.103897[/C][/ROW]
[ROW][C]267[/C][C]0.858898[/C][C]0.282203[/C][C]0.141102[/C][/ROW]
[ROW][C]268[/C][C]0.993267[/C][C]0.0134651[/C][C]0.00673256[/C][/ROW]
[ROW][C]269[/C][C]0.994406[/C][C]0.011188[/C][C]0.00559401[/C][/ROW]
[ROW][C]270[/C][C]0.995845[/C][C]0.00831001[/C][C]0.00415501[/C][/ROW]
[ROW][C]271[/C][C]0.999827[/C][C]0.000346825[/C][C]0.000173412[/C][/ROW]
[ROW][C]272[/C][C]0.999414[/C][C]0.00117296[/C][C]0.00058648[/C][/ROW]
[ROW][C]273[/C][C]0.998183[/C][C]0.00363323[/C][C]0.00181661[/C][/ROW]
[ROW][C]274[/C][C]0.995157[/C][C]0.00968645[/C][C]0.00484322[/C][/ROW]
[ROW][C]275[/C][C]0.995118[/C][C]0.00976334[/C][C]0.00488167[/C][/ROW]
[ROW][C]276[/C][C]0.98682[/C][C]0.0263591[/C][C]0.0131796[/C][/ROW]
[ROW][C]277[/C][C]0.989876[/C][C]0.0202489[/C][C]0.0101244[/C][/ROW]
[ROW][C]278[/C][C]0.949855[/C][C]0.10029[/C][C]0.050145[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266319&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266319&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
90.9522670.0954660.047733
100.9214160.1571680.0785838
110.9392180.1215640.0607819
120.89840.2031990.1016
130.9230470.1539060.0769528
140.8849310.2301380.115069
150.8336040.3327920.166396
160.805690.388620.19431
170.7966310.4067390.203369
180.7450710.5098580.254929
190.6830130.6339740.316987
200.6132910.7734190.386709
210.5414770.9170470.458523
220.6171040.7657920.382896
230.563470.8730610.43653
240.49940.99880.5006
250.446030.892060.55397
260.3904670.7809340.609533
270.3433560.6867130.656644
280.2914780.5829560.708522
290.3480660.6961330.651934
300.3009870.6019750.699013
310.2952010.5904020.704799
320.2609430.5218850.739057
330.2650350.530070.734965
340.3319170.6638350.668083
350.2918960.5837910.708104
360.3086520.6173040.691348
370.274350.54870.72565
380.2357940.4715880.764206
390.2013650.4027290.798635
400.2155190.4310380.784481
410.2601950.5203890.739805
420.2407970.4815950.759203
430.2945690.5891380.705431
440.262080.5241610.73792
450.2417660.4835320.758234
460.2179530.4359060.782047
470.2245140.4490290.775486
480.1999490.3998970.800051
490.1812750.362550.818725
500.2039750.407950.796025
510.2313470.4626950.768653
520.2268710.4537410.773129
530.2101520.4203040.789848
540.2048640.4097270.795136
550.1922140.3844290.807786
560.1866190.3732370.813381
570.1781110.3562230.821889
580.1600920.3201830.839908
590.2214430.4428860.778557
600.249080.498160.75092
610.2186020.4372040.781398
620.223220.446440.77678
630.2369560.4739130.763044
640.2313330.4626650.768667
650.223460.446920.77654
660.2744740.5489470.725526
670.2738140.5476280.726186
680.2445510.4891030.755449
690.246050.49210.75395
700.2307650.461530.769235
710.2435780.4871570.756422
720.2258410.4516820.774159
730.2109960.4219910.789004
740.1885070.3770140.811493
750.1693260.3386510.830674
760.1894370.3788750.810563
770.3124910.6249830.687509
780.3050260.6100510.694974
790.2915760.5831520.708424
800.2893170.5786350.710683
810.2860110.5720210.713989
820.2570060.5140120.742994
830.2824580.5649160.717542
840.25440.5088010.7456
850.2628310.5256620.737169
860.2374040.4748070.762596
870.3956250.7912490.604375
880.3786660.7573310.621334
890.3514150.7028290.648585
900.3192420.6384840.680758
910.2883910.5767810.711609
920.2698390.5396780.730161
930.2749960.5499930.725004
940.2973690.5947380.702631
950.3873880.7747770.612612
960.3874940.7749880.612506
970.3781610.7563220.621839
980.3941380.7882760.605862
990.3881680.7763360.611832
1000.4936050.9872110.506395
1010.4724520.9449040.527548
1020.5337860.9324280.466214
1030.5880970.8238050.411903
1040.562530.8749390.43747
1050.5506050.898790.449395
1060.5630070.8739870.436993
1070.5718640.8562720.428136
1080.5948030.8103940.405197
1090.6058230.7883550.394177
1100.6361680.7276630.363832
1110.8047430.3905140.195257
1120.8480050.3039890.151995
1130.8495420.3009160.150458
1140.8466770.3066450.153323
1150.8383130.3233740.161687
1160.8872260.2255480.112774
1170.8853090.2293830.114691
1180.9352580.1294840.0647418
1190.9580320.08393520.0419676
1200.954560.09087990.0454399
1210.9752410.04951720.0247586
1220.9738420.05231680.0261584
1230.9790140.0419710.0209855
1240.9831410.0337180.016859
1250.9844180.0311630.0155815
1260.9840480.03190420.0159521
1270.9913220.01735510.00867753
1280.9921250.01575090.00787545
1290.9904960.01900890.00950445
1300.9898360.02032780.0101639
1310.9885230.02295460.0114773
1320.9878880.02422330.0121116
1330.9867720.0264570.0132285
1340.9886240.0227510.0113755
1350.9882540.02349190.011746
1360.9895270.02094630.0104731
1370.9875590.02488250.0124413
1380.9846440.03071230.0153561
1390.9814890.03702250.0185112
1400.9858030.02839310.0141965
1410.9850330.02993460.0149673
1420.9828050.03438980.0171949
1430.9794640.04107240.0205362
1440.9774790.04504160.0225208
1450.9902150.01957050.00978523
1460.9897970.02040590.0102029
1470.9903750.01924940.00962468
1480.9902130.01957490.00978744
1490.9883520.02329670.0116483
1500.9892980.02140330.0107016
1510.987320.02536090.0126804
1520.9859670.02806590.014033
1530.9831660.03366750.0168337
1540.9802680.03946470.0197323
1550.978460.04308050.0215402
1560.9926210.01475740.00737872
1570.9917560.01648870.00824433
1580.9915330.01693430.00846717
1590.9895020.02099590.0104979
1600.9906120.01877530.00938765
1610.9884340.02313170.0115659
1620.9879930.02401430.0120072
1630.9862510.02749820.0137491
1640.9847920.03041560.0152078
1650.9817670.03646570.0182329
1660.9867530.02649480.0132474
1670.9845490.03090290.0154515
1680.985080.02983960.0149198
1690.997050.005899310.00294965
1700.9977760.00444720.0022236
1710.9970820.005835110.00291756
1720.9967760.006448530.00322426
1730.9977820.004435420.00221771
1740.9971090.005781860.00289093
1750.9974790.005042330.00252117
1760.9969510.006097810.00304891
1770.9978580.004283840.00214192
1780.9975760.004847850.00242393
1790.9969090.006182190.00309109
1800.9961230.007754190.00387709
1810.9971590.005682490.00284125
1820.9969380.006123740.00306187
1830.9968160.00636730.00318365
1840.9963950.007209240.00360462
1850.9969870.006026920.00301346
1860.9969350.006130350.00306518
1870.9961920.00761690.00380845
1880.9954780.009044450.00452223
1890.9942290.01154210.00577106
1900.9938360.01232790.00616394
1910.9926080.01478310.00739155
1920.9954460.009108560.00455428
1930.994440.011120.00555998
1940.9932560.01348750.00674376
1950.9915180.0169630.00848151
1960.9898610.02027820.0101391
1970.9878650.02426950.0121347
1980.9856150.02876990.0143849
1990.9903010.01939720.0096986
2000.9888170.02236620.0111831
2010.9874770.02504530.0125227
2020.9867130.02657370.0132868
2030.982980.03404070.0170203
2040.9839970.0320050.0160025
2050.98270.03460050.0173003
2060.9803470.03930660.0196533
2070.9803140.0393710.0196855
2080.9771110.04577710.0228885
2090.9726210.05475890.0273795
2100.9666820.06663610.0333181
2110.9770160.04596810.022984
2120.9741850.05162980.0258149
2130.974520.05095990.02548
2140.9679210.06415770.0320789
2150.9636370.07272680.0363634
2160.9592860.08142890.0407145
2170.9502350.09952920.0497646
2180.9420230.1159540.0579769
2190.9518740.09625150.0481258
2200.944690.1106210.0553103
2210.9446830.1106340.0553171
2220.9374550.1250910.0625455
2230.9358020.1283950.0641977
2240.9273660.1452690.0726345
2250.9166110.1667770.0833887
2260.8984380.2031250.101562
2270.8772090.2455810.122791
2280.8650180.2699640.134982
2290.8734770.2530460.126523
2300.8535650.2928690.146435
2310.8611030.2777940.138897
2320.8427040.3145910.157296
2330.8901290.2197410.109871
2340.9012890.1974220.0987108
2350.9085960.1828070.0914037
2360.8927990.2144020.107201
2370.902050.19590.0979501
2380.9299660.1400670.0700335
2390.9131550.1736890.0868447
2400.8957960.2084090.104204
2410.8901440.2197130.109856
2420.8776050.2447890.122395
2430.9397590.1204830.0602413
2440.938810.1223790.0611895
2450.9373060.1253880.0626941
2460.9197360.1605280.0802639
2470.8972890.2054220.102711
2480.8875220.2249550.112478
2490.8687840.2624320.131216
2500.858340.2833190.14166
2510.8416010.3167970.158399
2520.9182150.1635690.0817847
2530.8956350.2087290.104365
2540.8677820.2644370.132218
2550.8366550.326690.163345
2560.7973560.4052880.202644
2570.7527320.4945360.247268
2580.6996770.6006450.300323
2590.6505390.6989230.349461
2600.6497950.700410.350205
2610.5846940.8306120.415306
2620.5190460.9619080.480954
2630.5896310.8207380.410369
2640.5201440.9597120.479856
2650.504870.990260.49513
2660.8961030.2077940.103897
2670.8588980.2822030.141102
2680.9932670.01346510.00673256
2690.9944060.0111880.00559401
2700.9958450.008310010.00415501
2710.9998270.0003468250.000173412
2720.9994140.001172960.00058648
2730.9981830.003633230.00181661
2740.9951570.009686450.00484322
2750.9951180.009763340.00488167
2760.986820.02635910.0131796
2770.9898760.02024890.0101244
2780.9498550.100290.050145






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level270.1NOK
5% type I error level980.362963NOK
10% type I error level1110.411111NOK

\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 & 27 & 0.1 & NOK \tabularnewline
5% type I error level & 98 & 0.362963 & NOK \tabularnewline
10% type I error level & 111 & 0.411111 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266319&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]27[/C][C]0.1[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]98[/C][C]0.362963[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]111[/C][C]0.411111[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266319&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266319&T=6

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level270.1NOK
5% type I error level980.362963NOK
10% type I error level1110.411111NOK


Figures (Output of Computation)

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Input Parameters & R Code

Parameters (Session):
par1 = 6 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 6 ; 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')
}