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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationMon, 15 Dec 2014 23:55:51 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/15/t1418687795di2a94m1v4ptgep.htm/, Retrieved Fri, 17 May 2024 08:10:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=269109, Retrieved Fri, 17 May 2024 08:10:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact74

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [] [2014-12-15 16:34:59] [bcf5edf18529a33bd1494456d2c6cb9a]
-   PD    [Multiple Regression] [] [2014-12-15 23:55:51] [023a69c6c348bca0f1811b046758af62] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
76	21	149	96	12,9
119	26	152	75	7,4
119	22	139	70	12,2
91	22	148	88	12,8
138	18	158	114	7,4
97	23	128	69	6,7
117	12	224	176	12,6
125	20	159	114	14,8
95	22	105	121	13,3
168	21	159	110	11,1
109	19	167	158	8,2
115	22	165	116	11,4
135	15	159	181	6,4
130	20	119	77	10,6
131	19	176	141	12,0
143	18	54	35	6,3
134	15	91	80	11,3
109	20	163	152	11,9
126	21	124	97	9,3
117	21	137	99	9,6
155	15	121	84	10,0
136	16	153	68	6,4
132	23	148	101	13,8
129	21	221	107	10,8
129	18	188	88	13,8
131	25	149	112	11,7
123	9	244	171	10,9
125	30	148	137	16,1
112	20	92	77	13,4
131	23	150	66	9,9
129	16	153	93	11,5
99	16	94	105	8,3
114	19	156	131	11,7
128	25	146	89	6,1
130	25	132	102	9,0
112	18	161	161	9,7
122	23	105	120	10,8
115	21	97	127	10,3
124	10	151	77	10,4
120	14	131	108	12,7
119	22	166	85	9,3
123	26	157	168	11,8
91	23	111	48	5,9
107	23	145	152	11,4
118	24	162	75	13,0
111	24	163	107	10,8
95	18	59	62	12,3
135	23	187	121	11,3
108	15	109	124	11,8
130	19	90	72	7,9
143	16	105	40	12,7
110	25	83	58	12,3
131	23	116	97	11,6
113	17	42	88	6,7
103	19	148	126	10,9
140	21	155	104	12,1
125	18	125	148	13,3
127	27	116	146	10,1
116	21	128	80	5,7
120	13	138	97	14,3
108	8	49	25	8,0
111	29	96	99	13,3
125	28	164	118	9,3
126	23	162	58	12,5
116	21	99	63	7,6
104	19	202	139	15,9
113	19	186	50	9,2
106	20	66	60	9,1
139	18	183	152	11,1
119	19	214	142	13,0
112	17	188	94	14,5
101	19	104	66	12,2
110	25	177	127	12,3
115	19	126	67	11,4
116	22	76	90	8,8
122	23	99	75	14,6
111	26	157	96	7,3
115	14	139	128	12,6
112	28	78	41	NA
109	16	162	146	13,0
97	24	108	69	12,6
132	20	159	186	13,2
102	12	74	81	9,9
124	24	110	85	7,7
115	22	96	54	10,5
128	12	116	46	13,4
121	22	87	106	10,9
130	20	97	34	4,3
99	10	127	60	10,3
122	23	106	95	11,8
126	17	80	57	11,2
141	22	74	62	11,4
124	24	91	36	8,6
127	18	133	56	13,2
114	21	74	54	12,6
99	20	114	64	5,6
137	20	140	76	9,9
97	22	95	98	8,8
108	19	98	88	7,7
138	20	121	35	9,0
123	26	126	102	7,3
125	23	98	61	11,4
106	24	95	80	13,6
138	21	110	49	7,9
127	21	70	78	10,7
142	19	102	90	10,3
94	8	86	45	8,3
133	17	130	55	9,6
119	20	96	96	14,2
114	11	102	43	8,5
114	8	100	52	13,5
123	15	94	60	4,9
126	18	52	54	6,4
118	18	98	51	9,6
132	19	118	51	11,6
127	19	99	38	11,1
103	23	48	41	4,35
72	22	50	146	12,7
113	21	150	182	18,1
125	25	154	192	17,85
109	30	109	263	16,6
111	17	68	35	12,6
105	27	194	439	17,1
122	23	158	214	19,1
127	23	159	341	16,1
117	18	67	58	13,35
91	18	147	292	18,4
143	23	39	85	14,7
116	19	100	200	10,6
123	15	111	158	12,6
101	20	138	199	16,2
119	16	101	297	13,6
143	24	131	227	18,9
114	25	101	108	14,1
108	25	114	86	14,5
128	19	165	302	16,15
122	19	114	148	14,75
133	16	111	178	14,8
94	19	75	120	12,45
128	19	82	207	12,65
108	23	121	157	17,35
125	21	32	128	8,6
130	22	150	296	18,4
112	19	117	323	16,1
89	20	71	79	11,6
117	20	165	70	17,75
142	3	154	146	15,25
128	23	126	246	17,65
114	14	138	145	15,6
123	23	149	196	16,35
89	20	145	199	17,65
125	15	120	127	13,6
110	13	138	91	11,7
112	16	109	153	14,35
109	7	132	299	14,75
108	24	172	228	18,25
139	17	169	190	9,9
116	24	114	180	16
116	24	156	212	18,25
88	19	172	269	16,85
128	25	68	130	14,6
125	20	89	179	13,85
134	28	167	243	18,95
126	23	113	190	15,6
121	27	115	299	14,85
106	18	78	121	11,75
109	28	118	137	18,45
127	21	87	305	15,9
101	19	173	157	17,1
120	23	2	96	16,1
99	27	162	183	19,9
116	22	49	52	10,95
125	28	122	238	18,45
121	25	96	40	15,1
127	21	100	226	15
129	22	82	190	11,35
155	28	100	214	15,95
113	20	115	145	18,1
125	29	141	119	14,6
114	25	165	222	15,4
116	25	165	222	15,4
127	20	110	159	17,6
102	20	118	165	13,35
87	16	158	249	19,1
110	20	146	125	15,35
115	20	49	122	7,6
108	23	90	186	13,4
97	18	121	148	13,9
119	25	155	274	19,1
130	18	104	172	15,25
97	19	147	84	12,9
120	25	110	168	16,1
125	25	108	102	17,35
131	25	113	106	13,15
129	24	115	2	12,15
125	19	61	139	12,6
108	26	60	95	10,35
142	10	109	130	15,4
117	17	68	72	9,6
130	13	111	141	18,2
93	17	77	113	13,6
97	30	73	206	14,85
120	25	151	268	14,75
110	4	89	175	14,1
111	16	78	77	14,9
130	21	110	125	16,25
66	23	220	255	19,25
113	22	65	111	13,6
126	17	141	132	13,6
114	20	117	211	15,65
130	20	122	92	12,75
112	22	63	76	14,6
126	16	44	171	9,85
86	23	52	83	12,65
122	16	62	119	11,9
118	0	131	266	19,2
124	18	101	186	16,6
120	25	42	50	11,2
128	23	152	117	15,25
134	12	107	219	11,9
133	18	77	246	13,2
131	24	154	279	16,35
102	11	103	148	12,4
97	18	96	137	15,85
93	14	154	130	14,35
129	23	175	181	18,15
115	24	57	98	11,15
116	29	112	226	15,65
136	18	143	234	17,75
142	15	49	138	7,65
112	29	110	85	12,35
120	16	131	66	15,6
121	19	167	236	19,3
110	22	56	106	15,2
122	16	137	135	17,1
133	23	86	122	15,6
136	23	121	218	18,4
118	19	149	199	19,05
130	4	168	112	18,55
114	20	140	278	19,1
147	24	88	94	13,1
123	20	168	113	12,85
121	4	94	84	9,5
119	24	51	86	4,5
129	22	48	62	11,85
137	16	145	222	13,6
63	3	66	167	11,7
134	15	85	82	12,4
140	24	109	207	13,35
134	17	63	184	11,4
121	20	102	83	14,9
105	27	162	183	19,9
114	23	128	85	17,75
106	26	86	89	11,2
135	23	114	225	14,6
100	17	164	237	17,6
101	20	119	102	14,05
131	22	126	221	16,1
131	19	132	128	13,35
129	24	142	91	11,85
120	19	83	198	11,95
117	23	94	204	14,75
82	15	81	158	15,15
106	27	166	138	13,2
125	26	110	226	16,85
130	22	64	44	7,85
147	22	93	196	7,7
125	18	104	83	12,6
97	15	105	79	7,85
101	22	49	52	10,95
128	27	88	105	12,35
97	10	95	116	9,95
126	20	102	83	14,9
118	17	99	196	16,65
107	23	63	153	13,4
87	19	76	157	13,95
156	13	109	75	15,7
133	27	117	106	16,85
132	23	57	58	10,95
133	16	120	75	15,35
122	25	73	74	12,2
125	2	91	185	15,1
127	26	108	265	17,75
125	20	105	131	15,2
99	23	117	139	14,6
128	22	119	196	16,65
110	24	31	78	8,1

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269109&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269109&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269109&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'Sir Maurice George Kendall' @ kendall.wessa.net






Multiple Linear Regression - Estimated Regression Equation
EX[t] = + 8.7508 -0.0102238MOT[t] + 0.0368029NUM[t] + 0.00929099LFM[t] + 0.0269879B[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
EX[t] =  +  8.7508 -0.0102238MOT[t] +  0.0368029NUM[t] +  0.00929099LFM[t] +  0.0269879B[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269109&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]EX[t] =  +  8.7508 -0.0102238MOT[t] +  0.0368029NUM[t] +  0.00929099LFM[t] +  0.0269879B[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269109&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269109&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] = + 8.7508 -0.0102238MOT[t] + 0.0368029NUM[t] + 0.00929099LFM[t] + 0.0269879B[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)8.75081.483435.8991.04856e-085.2428e-09
MOT-0.01022380.0108148-0.94540.3452890.172645
NUM0.03680290.03187591.1550.2492470.124623
LFM0.009290990.00433622.1430.03299980.0164999
B0.02698790.002470610.922.19142e-231.09571e-23

\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) & 8.7508 & 1.48343 & 5.899 & 1.04856e-08 & 5.2428e-09 \tabularnewline
MOT & -0.0102238 & 0.0108148 & -0.9454 & 0.345289 & 0.172645 \tabularnewline
NUM & 0.0368029 & 0.0318759 & 1.155 & 0.249247 & 0.124623 \tabularnewline
LFM & 0.00929099 & 0.0043362 & 2.143 & 0.0329998 & 0.0164999 \tabularnewline
B & 0.0269879 & 0.0024706 & 10.92 & 2.19142e-23 & 1.09571e-23 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269109&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]8.7508[/C][C]1.48343[/C][C]5.899[/C][C]1.04856e-08[/C][C]5.2428e-09[/C][/ROW]
[ROW][C]MOT[/C][C]-0.0102238[/C][C]0.0108148[/C][C]-0.9454[/C][C]0.345289[/C][C]0.172645[/C][/ROW]
[ROW][C]NUM[/C][C]0.0368029[/C][C]0.0318759[/C][C]1.155[/C][C]0.249247[/C][C]0.124623[/C][/ROW]
[ROW][C]LFM[/C][C]0.00929099[/C][C]0.0043362[/C][C]2.143[/C][C]0.0329998[/C][C]0.0164999[/C][/ROW]
[ROW][C]B[/C][C]0.0269879[/C][C]0.0024706[/C][C]10.92[/C][C]2.19142e-23[/C][C]1.09571e-23[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269109&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269109&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)8.75081.483435.8991.04856e-085.2428e-09
MOT-0.01022380.0108148-0.94540.3452890.172645
NUM0.03680290.03187591.1550.2492470.124623
LFM0.009290990.00433622.1430.03299980.0164999
B0.02698790.002470610.922.19142e-231.09571e-23






Multiple Linear Regression - Regression Statistics
Multiple R0.602858
R-squared0.363437
Adjusted R-squared0.354376
F-TEST (value)40.1084
F-TEST (DF numerator)4
F-TEST (DF denominator)281
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.74901
Sum Squared Residuals2123.53

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.602858 \tabularnewline
R-squared & 0.363437 \tabularnewline
Adjusted R-squared & 0.354376 \tabularnewline
F-TEST (value) & 40.1084 \tabularnewline
F-TEST (DF numerator) & 4 \tabularnewline
F-TEST (DF denominator) & 281 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.74901 \tabularnewline
Sum Squared Residuals & 2123.53 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269109&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.602858[/C][/ROW]
[ROW][C]R-squared[/C][C]0.363437[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.354376[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]40.1084[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]4[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]281[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]2.74901[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]2123.53[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269109&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269109&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 R0.602858
R-squared0.363437
Adjusted R-squared0.354376
F-TEST (value)40.1084
F-TEST (DF numerator)4
F-TEST (DF denominator)281
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.74901
Sum Squared Residuals2123.53






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
112.912.72180.178157
27.411.9274-4.52736
312.211.52440.675572
412.812.38010.419905
57.412.547-5.14696
66.711.657-4.95697
712.614.8273-2.22729
814.812.76282.03724
913.312.83030.469713
1011.112.252-1.15199
118.214.1513-5.95134
1211.413.0483-1.64833
136.414.2847-7.8847
1410.611.3415-0.741455
151213.5512-1.55124
166.39.39753-3.09753
1711.310.93740.362639
1811.913.989-2.08905
199.312.0054-2.70537
209.612.2721-2.67214
211011.1093-1.10934
226.411.2059-4.8059
2313.812.34861.45144
2410.813.1458-2.3458
2513.812.2161.58398
2611.712.7386-1.03855
2710.914.7064-3.80642
2816.113.64932.45069
2913.411.27462.12537
309.911.4328-1.53279
3111.511.9522-0.452167
328.312.0346-3.73457
3311.713.2693-1.56934
346.112.1206-6.02063
35912.3209-3.32095
369.714.1091-4.40908
3710.812.5641-1.76406
3810.312.6766-2.37661
3910.411.3321-0.93208
4012.712.1710.529009
419.312.1801-2.8801
4211.814.4428-2.64279
435.910.9936-5.09362
4411.413.9527-2.55267
451311.95691.04311
4610.812.9014-2.10136
4712.310.66341.6366
4811.313.22-1.92
4911.812.5579-0.757884
507.910.9003-3.00027
5112.79.932712.76729
5212.310.88271.4173
5311.611.9535-0.353525
546.710.9863-4.28631
5510.913.1725-2.27254
5612.112.3392-0.239168
5713.313.29090.00914703
5810.113.464-3.36404
595.711.686-5.98597
6014.311.90242.39764
6189.071-1.071
6213.312.2471.05303
639.313.2116-3.91159
6412.511.37951.1205
657.610.9577-3.35774
6615.914.01491.88513
679.211.3723-2.17228
689.110.6356-1.53561
6911.113.7945-2.69455
701314.054-1.05397
7114.512.51491.98505
7212.211.16491.03509
7312.313.6182-1.31822
7411.411.25320.146832
758.811.5095-2.70952
7614.611.29393.30614
777.312.6224-5.32235
7812.612.8362-0.236196
79NANA-0.670619
801311.90791.09205
8112.614.0343-1.43432
8213.214.3232-1.12316
839.913.8823-3.98229
847.77.934-0.234004
8510.57.302983.19702
8613.414.4924-1.09241
8710.916.5766-5.67657
884.34.9059-0.605898
8910.310.3987-0.0986532
9011.810.96980.830164
9111.210.27970.920313
9211.412.9834-1.58336
938.66.261852.33815
9413.211.1032.09698
9512.618.2611-5.6611
965.67.13801-1.53801
979.913.1962-3.29621
988.812.7313-3.93133
997.78.84476-1.14476
100914.0736-5.07357
1017.36.776070.523934
10211.49.392022.00798
10313.616.1572-2.55719
1047.98.18066-0.280659
10510.711.7749-1.07486
10610.312.0977-1.79766
1078.39.40884-1.10884
1089.67.152992.44701
10914.215.7983-1.59828
1108.55.212183.28782
11113.519.1379-5.63794
1124.98.56553-3.66553
1136.47.29374-0.89374
1149.68.573231.02677
11511.610.5971.00302
11611.116.8467-5.74668
1174.354.87913-0.529126
11812.79.273813.42619
11918.115.25542.84462
12017.8518.101-0.251018
12116.613.8182.78203
12212.617.8211-5.2211
12317.113.59333.50666
12419.121.979-2.87897
12516.113.15492.94514
12613.3512.67910.670883
12718.414.49163.90842
12814.718.6908-3.99076
12910.611.3407-0.740697
13012.611.5071.09301
13116.219.6768-3.4768
13213.610.21543.38457
13318.917.15841.74156
13414.111.54682.55317
13514.516.1748-1.67476
13616.1514.65611.49387
13714.7513.7650.984981
13814.814.77440.025616
13912.4514.2898-1.83976
14012.659.15443.4956
14117.3520.7474-3.39744
1428.67.813430.786575
14318.420.4091-2.00911
14416.115.86860.231361
14511.65.562846.03716
14617.7515.28052.46953
14715.2513.69831.5517
14817.6515.34592.30408
14915.614.26371.33628
15016.3513.99472.35528
15117.6516.61721.03276
15213.613.7427-0.14267
15311.710.68641.01356
15414.3516.7898-2.43981
15514.7512.78121.96882
15618.2523.0032-4.75321
1579.98.26511.6349
1581613.36892.63107
15918.2518.8081-0.558145
16016.8514.75242.09757
16114.614.6166-0.0166072
16213.8511.42092.42906
16318.9517.83661.11336
16415.618.3952-2.79523
16514.8515.4198-0.569756
16611.756.760564.98944
16718.4519.8149-1.36485
16815.913.06192.83811
16917.111.97985.12017
17016.111.37624.72376
17119.919.18310.716872
17210.958.559922.39008
17318.4513.75524.69476
17415.115.3536-0.253593
1751517.7811-2.78115
17611.3510.30111.04891
17715.9511.16334.78673
17818.116.56171.53831
17914.615.2297-0.629677
18015.416.0092-0.60923
18115.411.30154.09849
18217.618.2434-0.643363
18313.3510.88812.46187
18419.116.84222.25779
18515.3519.8089-4.4589
1867.68.54903-0.949027
18713.413.040.360044
18813.912.0891.81098
18919.117.54231.55767
19015.2514.44110.808899
19112.910.82.10001
19216.110.89915.20092
19317.3516.44210.907852
19413.1510.43762.71236
19512.1512.04010.109858
19612.613.9748-1.37481
19710.357.138193.21181
19815.416.5552-1.15518
1999.64.136735.46327
20018.216.79071.40933
20113.613.8509-0.25092
20214.8517.1797-2.3297
20314.7513.97320.776834
20414.110.20763.89243
20514.911.24013.65994
20616.2514.84841.40158
20719.2517.65471.59526
20813.612.96070.639324
20913.613.05280.547171
21015.6514.67410.975854
21112.759.201813.54819
21214.617.8252-3.22517
2139.858.641141.20886
21412.6512.62990.0200621
21511.98.640283.25972
21619.216.70362.49637
21716.615.58361.01637
21811.28.808432.39157
21915.2518.0769-2.82692
22011.914.1079-2.20791
22113.214.1052-0.905177
22216.3517.014-0.663978
22312.49.560812.83919
22415.8514.75451.09554
22514.3510.98913.36088
22618.1518.6327-0.482728
22711.1511.272-0.121971
22815.6513.56662.08341
22917.7522.1306-4.38065
2307.657.288990.361006
23112.357.861114.48889
23215.612.43373.16629
23319.315.91693.38315
23415.211.10864.09143
23517.113.8293.27096
23615.612.41443.18561
23718.414.34864.05141
23819.0512.65246.39756
23918.5516.57471.97529
24019.117.48561.61436
24113.113.08980.0101564
24212.8514.1513-1.30126
2439.516.2122-6.71223
2444.53.010811.48919
24511.8513.5275-1.67748
24613.615.2373-1.63729
24711.710.23561.46441
24812.413.8519-1.45194
24913.3515.5076-2.15756
25011.47.937453.46255
25114.910.11494.7851
25219.914.0655.83503
25317.7518.3749-0.624896
25411.211.9485-0.748495
25514.613.27391.32609
25617.615.86261.73736
25714.0513.30610.743873
25816.115.54160.558407
25913.3513.5904-0.240414
26011.8514.2379-2.38795
26111.9511.98-0.0299582
26214.7513.08111.66886
26315.1515.8774-0.727384
26413.211.9011.29903
26516.8519.0135-2.16346
2667.8514.3612-6.51125
2677.76.441531.25847
26812.616.1687-3.56873
2697.857.286490.563515
27010.9510.68720.262837
27112.3514.5404-2.19035
2729.956.436333.51367
27314.912.62952.27053
27416.6516.46780.182206
27513.412.95380.446207
27613.958.921135.02887
27715.711.18254.51753
27816.8516.24260.607394
27910.956.718894.23111
28015.3514.24891.10109
28112.210.48471.71534
28215.113.91451.18554
28317.7515.26982.48015
28415.214.02351.17653
28514.612.59712.00293
28616.6519.4525-2.80252
2878.1NANA

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 12.9 & 12.7218 & 0.178157 \tabularnewline
2 & 7.4 & 11.9274 & -4.52736 \tabularnewline
3 & 12.2 & 11.5244 & 0.675572 \tabularnewline
4 & 12.8 & 12.3801 & 0.419905 \tabularnewline
5 & 7.4 & 12.547 & -5.14696 \tabularnewline
6 & 6.7 & 11.657 & -4.95697 \tabularnewline
7 & 12.6 & 14.8273 & -2.22729 \tabularnewline
8 & 14.8 & 12.7628 & 2.03724 \tabularnewline
9 & 13.3 & 12.8303 & 0.469713 \tabularnewline
10 & 11.1 & 12.252 & -1.15199 \tabularnewline
11 & 8.2 & 14.1513 & -5.95134 \tabularnewline
12 & 11.4 & 13.0483 & -1.64833 \tabularnewline
13 & 6.4 & 14.2847 & -7.8847 \tabularnewline
14 & 10.6 & 11.3415 & -0.741455 \tabularnewline
15 & 12 & 13.5512 & -1.55124 \tabularnewline
16 & 6.3 & 9.39753 & -3.09753 \tabularnewline
17 & 11.3 & 10.9374 & 0.362639 \tabularnewline
18 & 11.9 & 13.989 & -2.08905 \tabularnewline
19 & 9.3 & 12.0054 & -2.70537 \tabularnewline
20 & 9.6 & 12.2721 & -2.67214 \tabularnewline
21 & 10 & 11.1093 & -1.10934 \tabularnewline
22 & 6.4 & 11.2059 & -4.8059 \tabularnewline
23 & 13.8 & 12.3486 & 1.45144 \tabularnewline
24 & 10.8 & 13.1458 & -2.3458 \tabularnewline
25 & 13.8 & 12.216 & 1.58398 \tabularnewline
26 & 11.7 & 12.7386 & -1.03855 \tabularnewline
27 & 10.9 & 14.7064 & -3.80642 \tabularnewline
28 & 16.1 & 13.6493 & 2.45069 \tabularnewline
29 & 13.4 & 11.2746 & 2.12537 \tabularnewline
30 & 9.9 & 11.4328 & -1.53279 \tabularnewline
31 & 11.5 & 11.9522 & -0.452167 \tabularnewline
32 & 8.3 & 12.0346 & -3.73457 \tabularnewline
33 & 11.7 & 13.2693 & -1.56934 \tabularnewline
34 & 6.1 & 12.1206 & -6.02063 \tabularnewline
35 & 9 & 12.3209 & -3.32095 \tabularnewline
36 & 9.7 & 14.1091 & -4.40908 \tabularnewline
37 & 10.8 & 12.5641 & -1.76406 \tabularnewline
38 & 10.3 & 12.6766 & -2.37661 \tabularnewline
39 & 10.4 & 11.3321 & -0.93208 \tabularnewline
40 & 12.7 & 12.171 & 0.529009 \tabularnewline
41 & 9.3 & 12.1801 & -2.8801 \tabularnewline
42 & 11.8 & 14.4428 & -2.64279 \tabularnewline
43 & 5.9 & 10.9936 & -5.09362 \tabularnewline
44 & 11.4 & 13.9527 & -2.55267 \tabularnewline
45 & 13 & 11.9569 & 1.04311 \tabularnewline
46 & 10.8 & 12.9014 & -2.10136 \tabularnewline
47 & 12.3 & 10.6634 & 1.6366 \tabularnewline
48 & 11.3 & 13.22 & -1.92 \tabularnewline
49 & 11.8 & 12.5579 & -0.757884 \tabularnewline
50 & 7.9 & 10.9003 & -3.00027 \tabularnewline
51 & 12.7 & 9.93271 & 2.76729 \tabularnewline
52 & 12.3 & 10.8827 & 1.4173 \tabularnewline
53 & 11.6 & 11.9535 & -0.353525 \tabularnewline
54 & 6.7 & 10.9863 & -4.28631 \tabularnewline
55 & 10.9 & 13.1725 & -2.27254 \tabularnewline
56 & 12.1 & 12.3392 & -0.239168 \tabularnewline
57 & 13.3 & 13.2909 & 0.00914703 \tabularnewline
58 & 10.1 & 13.464 & -3.36404 \tabularnewline
59 & 5.7 & 11.686 & -5.98597 \tabularnewline
60 & 14.3 & 11.9024 & 2.39764 \tabularnewline
61 & 8 & 9.071 & -1.071 \tabularnewline
62 & 13.3 & 12.247 & 1.05303 \tabularnewline
63 & 9.3 & 13.2116 & -3.91159 \tabularnewline
64 & 12.5 & 11.3795 & 1.1205 \tabularnewline
65 & 7.6 & 10.9577 & -3.35774 \tabularnewline
66 & 15.9 & 14.0149 & 1.88513 \tabularnewline
67 & 9.2 & 11.3723 & -2.17228 \tabularnewline
68 & 9.1 & 10.6356 & -1.53561 \tabularnewline
69 & 11.1 & 13.7945 & -2.69455 \tabularnewline
70 & 13 & 14.054 & -1.05397 \tabularnewline
71 & 14.5 & 12.5149 & 1.98505 \tabularnewline
72 & 12.2 & 11.1649 & 1.03509 \tabularnewline
73 & 12.3 & 13.6182 & -1.31822 \tabularnewline
74 & 11.4 & 11.2532 & 0.146832 \tabularnewline
75 & 8.8 & 11.5095 & -2.70952 \tabularnewline
76 & 14.6 & 11.2939 & 3.30614 \tabularnewline
77 & 7.3 & 12.6224 & -5.32235 \tabularnewline
78 & 12.6 & 12.8362 & -0.236196 \tabularnewline
79 & NA & NA & -0.670619 \tabularnewline
80 & 13 & 11.9079 & 1.09205 \tabularnewline
81 & 12.6 & 14.0343 & -1.43432 \tabularnewline
82 & 13.2 & 14.3232 & -1.12316 \tabularnewline
83 & 9.9 & 13.8823 & -3.98229 \tabularnewline
84 & 7.7 & 7.934 & -0.234004 \tabularnewline
85 & 10.5 & 7.30298 & 3.19702 \tabularnewline
86 & 13.4 & 14.4924 & -1.09241 \tabularnewline
87 & 10.9 & 16.5766 & -5.67657 \tabularnewline
88 & 4.3 & 4.9059 & -0.605898 \tabularnewline
89 & 10.3 & 10.3987 & -0.0986532 \tabularnewline
90 & 11.8 & 10.9698 & 0.830164 \tabularnewline
91 & 11.2 & 10.2797 & 0.920313 \tabularnewline
92 & 11.4 & 12.9834 & -1.58336 \tabularnewline
93 & 8.6 & 6.26185 & 2.33815 \tabularnewline
94 & 13.2 & 11.103 & 2.09698 \tabularnewline
95 & 12.6 & 18.2611 & -5.6611 \tabularnewline
96 & 5.6 & 7.13801 & -1.53801 \tabularnewline
97 & 9.9 & 13.1962 & -3.29621 \tabularnewline
98 & 8.8 & 12.7313 & -3.93133 \tabularnewline
99 & 7.7 & 8.84476 & -1.14476 \tabularnewline
100 & 9 & 14.0736 & -5.07357 \tabularnewline
101 & 7.3 & 6.77607 & 0.523934 \tabularnewline
102 & 11.4 & 9.39202 & 2.00798 \tabularnewline
103 & 13.6 & 16.1572 & -2.55719 \tabularnewline
104 & 7.9 & 8.18066 & -0.280659 \tabularnewline
105 & 10.7 & 11.7749 & -1.07486 \tabularnewline
106 & 10.3 & 12.0977 & -1.79766 \tabularnewline
107 & 8.3 & 9.40884 & -1.10884 \tabularnewline
108 & 9.6 & 7.15299 & 2.44701 \tabularnewline
109 & 14.2 & 15.7983 & -1.59828 \tabularnewline
110 & 8.5 & 5.21218 & 3.28782 \tabularnewline
111 & 13.5 & 19.1379 & -5.63794 \tabularnewline
112 & 4.9 & 8.56553 & -3.66553 \tabularnewline
113 & 6.4 & 7.29374 & -0.89374 \tabularnewline
114 & 9.6 & 8.57323 & 1.02677 \tabularnewline
115 & 11.6 & 10.597 & 1.00302 \tabularnewline
116 & 11.1 & 16.8467 & -5.74668 \tabularnewline
117 & 4.35 & 4.87913 & -0.529126 \tabularnewline
118 & 12.7 & 9.27381 & 3.42619 \tabularnewline
119 & 18.1 & 15.2554 & 2.84462 \tabularnewline
120 & 17.85 & 18.101 & -0.251018 \tabularnewline
121 & 16.6 & 13.818 & 2.78203 \tabularnewline
122 & 12.6 & 17.8211 & -5.2211 \tabularnewline
123 & 17.1 & 13.5933 & 3.50666 \tabularnewline
124 & 19.1 & 21.979 & -2.87897 \tabularnewline
125 & 16.1 & 13.1549 & 2.94514 \tabularnewline
126 & 13.35 & 12.6791 & 0.670883 \tabularnewline
127 & 18.4 & 14.4916 & 3.90842 \tabularnewline
128 & 14.7 & 18.6908 & -3.99076 \tabularnewline
129 & 10.6 & 11.3407 & -0.740697 \tabularnewline
130 & 12.6 & 11.507 & 1.09301 \tabularnewline
131 & 16.2 & 19.6768 & -3.4768 \tabularnewline
132 & 13.6 & 10.2154 & 3.38457 \tabularnewline
133 & 18.9 & 17.1584 & 1.74156 \tabularnewline
134 & 14.1 & 11.5468 & 2.55317 \tabularnewline
135 & 14.5 & 16.1748 & -1.67476 \tabularnewline
136 & 16.15 & 14.6561 & 1.49387 \tabularnewline
137 & 14.75 & 13.765 & 0.984981 \tabularnewline
138 & 14.8 & 14.7744 & 0.025616 \tabularnewline
139 & 12.45 & 14.2898 & -1.83976 \tabularnewline
140 & 12.65 & 9.1544 & 3.4956 \tabularnewline
141 & 17.35 & 20.7474 & -3.39744 \tabularnewline
142 & 8.6 & 7.81343 & 0.786575 \tabularnewline
143 & 18.4 & 20.4091 & -2.00911 \tabularnewline
144 & 16.1 & 15.8686 & 0.231361 \tabularnewline
145 & 11.6 & 5.56284 & 6.03716 \tabularnewline
146 & 17.75 & 15.2805 & 2.46953 \tabularnewline
147 & 15.25 & 13.6983 & 1.5517 \tabularnewline
148 & 17.65 & 15.3459 & 2.30408 \tabularnewline
149 & 15.6 & 14.2637 & 1.33628 \tabularnewline
150 & 16.35 & 13.9947 & 2.35528 \tabularnewline
151 & 17.65 & 16.6172 & 1.03276 \tabularnewline
152 & 13.6 & 13.7427 & -0.14267 \tabularnewline
153 & 11.7 & 10.6864 & 1.01356 \tabularnewline
154 & 14.35 & 16.7898 & -2.43981 \tabularnewline
155 & 14.75 & 12.7812 & 1.96882 \tabularnewline
156 & 18.25 & 23.0032 & -4.75321 \tabularnewline
157 & 9.9 & 8.2651 & 1.6349 \tabularnewline
158 & 16 & 13.3689 & 2.63107 \tabularnewline
159 & 18.25 & 18.8081 & -0.558145 \tabularnewline
160 & 16.85 & 14.7524 & 2.09757 \tabularnewline
161 & 14.6 & 14.6166 & -0.0166072 \tabularnewline
162 & 13.85 & 11.4209 & 2.42906 \tabularnewline
163 & 18.95 & 17.8366 & 1.11336 \tabularnewline
164 & 15.6 & 18.3952 & -2.79523 \tabularnewline
165 & 14.85 & 15.4198 & -0.569756 \tabularnewline
166 & 11.75 & 6.76056 & 4.98944 \tabularnewline
167 & 18.45 & 19.8149 & -1.36485 \tabularnewline
168 & 15.9 & 13.0619 & 2.83811 \tabularnewline
169 & 17.1 & 11.9798 & 5.12017 \tabularnewline
170 & 16.1 & 11.3762 & 4.72376 \tabularnewline
171 & 19.9 & 19.1831 & 0.716872 \tabularnewline
172 & 10.95 & 8.55992 & 2.39008 \tabularnewline
173 & 18.45 & 13.7552 & 4.69476 \tabularnewline
174 & 15.1 & 15.3536 & -0.253593 \tabularnewline
175 & 15 & 17.7811 & -2.78115 \tabularnewline
176 & 11.35 & 10.3011 & 1.04891 \tabularnewline
177 & 15.95 & 11.1633 & 4.78673 \tabularnewline
178 & 18.1 & 16.5617 & 1.53831 \tabularnewline
179 & 14.6 & 15.2297 & -0.629677 \tabularnewline
180 & 15.4 & 16.0092 & -0.60923 \tabularnewline
181 & 15.4 & 11.3015 & 4.09849 \tabularnewline
182 & 17.6 & 18.2434 & -0.643363 \tabularnewline
183 & 13.35 & 10.8881 & 2.46187 \tabularnewline
184 & 19.1 & 16.8422 & 2.25779 \tabularnewline
185 & 15.35 & 19.8089 & -4.4589 \tabularnewline
186 & 7.6 & 8.54903 & -0.949027 \tabularnewline
187 & 13.4 & 13.04 & 0.360044 \tabularnewline
188 & 13.9 & 12.089 & 1.81098 \tabularnewline
189 & 19.1 & 17.5423 & 1.55767 \tabularnewline
190 & 15.25 & 14.4411 & 0.808899 \tabularnewline
191 & 12.9 & 10.8 & 2.10001 \tabularnewline
192 & 16.1 & 10.8991 & 5.20092 \tabularnewline
193 & 17.35 & 16.4421 & 0.907852 \tabularnewline
194 & 13.15 & 10.4376 & 2.71236 \tabularnewline
195 & 12.15 & 12.0401 & 0.109858 \tabularnewline
196 & 12.6 & 13.9748 & -1.37481 \tabularnewline
197 & 10.35 & 7.13819 & 3.21181 \tabularnewline
198 & 15.4 & 16.5552 & -1.15518 \tabularnewline
199 & 9.6 & 4.13673 & 5.46327 \tabularnewline
200 & 18.2 & 16.7907 & 1.40933 \tabularnewline
201 & 13.6 & 13.8509 & -0.25092 \tabularnewline
202 & 14.85 & 17.1797 & -2.3297 \tabularnewline
203 & 14.75 & 13.9732 & 0.776834 \tabularnewline
204 & 14.1 & 10.2076 & 3.89243 \tabularnewline
205 & 14.9 & 11.2401 & 3.65994 \tabularnewline
206 & 16.25 & 14.8484 & 1.40158 \tabularnewline
207 & 19.25 & 17.6547 & 1.59526 \tabularnewline
208 & 13.6 & 12.9607 & 0.639324 \tabularnewline
209 & 13.6 & 13.0528 & 0.547171 \tabularnewline
210 & 15.65 & 14.6741 & 0.975854 \tabularnewline
211 & 12.75 & 9.20181 & 3.54819 \tabularnewline
212 & 14.6 & 17.8252 & -3.22517 \tabularnewline
213 & 9.85 & 8.64114 & 1.20886 \tabularnewline
214 & 12.65 & 12.6299 & 0.0200621 \tabularnewline
215 & 11.9 & 8.64028 & 3.25972 \tabularnewline
216 & 19.2 & 16.7036 & 2.49637 \tabularnewline
217 & 16.6 & 15.5836 & 1.01637 \tabularnewline
218 & 11.2 & 8.80843 & 2.39157 \tabularnewline
219 & 15.25 & 18.0769 & -2.82692 \tabularnewline
220 & 11.9 & 14.1079 & -2.20791 \tabularnewline
221 & 13.2 & 14.1052 & -0.905177 \tabularnewline
222 & 16.35 & 17.014 & -0.663978 \tabularnewline
223 & 12.4 & 9.56081 & 2.83919 \tabularnewline
224 & 15.85 & 14.7545 & 1.09554 \tabularnewline
225 & 14.35 & 10.9891 & 3.36088 \tabularnewline
226 & 18.15 & 18.6327 & -0.482728 \tabularnewline
227 & 11.15 & 11.272 & -0.121971 \tabularnewline
228 & 15.65 & 13.5666 & 2.08341 \tabularnewline
229 & 17.75 & 22.1306 & -4.38065 \tabularnewline
230 & 7.65 & 7.28899 & 0.361006 \tabularnewline
231 & 12.35 & 7.86111 & 4.48889 \tabularnewline
232 & 15.6 & 12.4337 & 3.16629 \tabularnewline
233 & 19.3 & 15.9169 & 3.38315 \tabularnewline
234 & 15.2 & 11.1086 & 4.09143 \tabularnewline
235 & 17.1 & 13.829 & 3.27096 \tabularnewline
236 & 15.6 & 12.4144 & 3.18561 \tabularnewline
237 & 18.4 & 14.3486 & 4.05141 \tabularnewline
238 & 19.05 & 12.6524 & 6.39756 \tabularnewline
239 & 18.55 & 16.5747 & 1.97529 \tabularnewline
240 & 19.1 & 17.4856 & 1.61436 \tabularnewline
241 & 13.1 & 13.0898 & 0.0101564 \tabularnewline
242 & 12.85 & 14.1513 & -1.30126 \tabularnewline
243 & 9.5 & 16.2122 & -6.71223 \tabularnewline
244 & 4.5 & 3.01081 & 1.48919 \tabularnewline
245 & 11.85 & 13.5275 & -1.67748 \tabularnewline
246 & 13.6 & 15.2373 & -1.63729 \tabularnewline
247 & 11.7 & 10.2356 & 1.46441 \tabularnewline
248 & 12.4 & 13.8519 & -1.45194 \tabularnewline
249 & 13.35 & 15.5076 & -2.15756 \tabularnewline
250 & 11.4 & 7.93745 & 3.46255 \tabularnewline
251 & 14.9 & 10.1149 & 4.7851 \tabularnewline
252 & 19.9 & 14.065 & 5.83503 \tabularnewline
253 & 17.75 & 18.3749 & -0.624896 \tabularnewline
254 & 11.2 & 11.9485 & -0.748495 \tabularnewline
255 & 14.6 & 13.2739 & 1.32609 \tabularnewline
256 & 17.6 & 15.8626 & 1.73736 \tabularnewline
257 & 14.05 & 13.3061 & 0.743873 \tabularnewline
258 & 16.1 & 15.5416 & 0.558407 \tabularnewline
259 & 13.35 & 13.5904 & -0.240414 \tabularnewline
260 & 11.85 & 14.2379 & -2.38795 \tabularnewline
261 & 11.95 & 11.98 & -0.0299582 \tabularnewline
262 & 14.75 & 13.0811 & 1.66886 \tabularnewline
263 & 15.15 & 15.8774 & -0.727384 \tabularnewline
264 & 13.2 & 11.901 & 1.29903 \tabularnewline
265 & 16.85 & 19.0135 & -2.16346 \tabularnewline
266 & 7.85 & 14.3612 & -6.51125 \tabularnewline
267 & 7.7 & 6.44153 & 1.25847 \tabularnewline
268 & 12.6 & 16.1687 & -3.56873 \tabularnewline
269 & 7.85 & 7.28649 & 0.563515 \tabularnewline
270 & 10.95 & 10.6872 & 0.262837 \tabularnewline
271 & 12.35 & 14.5404 & -2.19035 \tabularnewline
272 & 9.95 & 6.43633 & 3.51367 \tabularnewline
273 & 14.9 & 12.6295 & 2.27053 \tabularnewline
274 & 16.65 & 16.4678 & 0.182206 \tabularnewline
275 & 13.4 & 12.9538 & 0.446207 \tabularnewline
276 & 13.95 & 8.92113 & 5.02887 \tabularnewline
277 & 15.7 & 11.1825 & 4.51753 \tabularnewline
278 & 16.85 & 16.2426 & 0.607394 \tabularnewline
279 & 10.95 & 6.71889 & 4.23111 \tabularnewline
280 & 15.35 & 14.2489 & 1.10109 \tabularnewline
281 & 12.2 & 10.4847 & 1.71534 \tabularnewline
282 & 15.1 & 13.9145 & 1.18554 \tabularnewline
283 & 17.75 & 15.2698 & 2.48015 \tabularnewline
284 & 15.2 & 14.0235 & 1.17653 \tabularnewline
285 & 14.6 & 12.5971 & 2.00293 \tabularnewline
286 & 16.65 & 19.4525 & -2.80252 \tabularnewline
287 & 8.1 & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269109&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]12.9[/C][C]12.7218[/C][C]0.178157[/C][/ROW]
[ROW][C]2[/C][C]7.4[/C][C]11.9274[/C][C]-4.52736[/C][/ROW]
[ROW][C]3[/C][C]12.2[/C][C]11.5244[/C][C]0.675572[/C][/ROW]
[ROW][C]4[/C][C]12.8[/C][C]12.3801[/C][C]0.419905[/C][/ROW]
[ROW][C]5[/C][C]7.4[/C][C]12.547[/C][C]-5.14696[/C][/ROW]
[ROW][C]6[/C][C]6.7[/C][C]11.657[/C][C]-4.95697[/C][/ROW]
[ROW][C]7[/C][C]12.6[/C][C]14.8273[/C][C]-2.22729[/C][/ROW]
[ROW][C]8[/C][C]14.8[/C][C]12.7628[/C][C]2.03724[/C][/ROW]
[ROW][C]9[/C][C]13.3[/C][C]12.8303[/C][C]0.469713[/C][/ROW]
[ROW][C]10[/C][C]11.1[/C][C]12.252[/C][C]-1.15199[/C][/ROW]
[ROW][C]11[/C][C]8.2[/C][C]14.1513[/C][C]-5.95134[/C][/ROW]
[ROW][C]12[/C][C]11.4[/C][C]13.0483[/C][C]-1.64833[/C][/ROW]
[ROW][C]13[/C][C]6.4[/C][C]14.2847[/C][C]-7.8847[/C][/ROW]
[ROW][C]14[/C][C]10.6[/C][C]11.3415[/C][C]-0.741455[/C][/ROW]
[ROW][C]15[/C][C]12[/C][C]13.5512[/C][C]-1.55124[/C][/ROW]
[ROW][C]16[/C][C]6.3[/C][C]9.39753[/C][C]-3.09753[/C][/ROW]
[ROW][C]17[/C][C]11.3[/C][C]10.9374[/C][C]0.362639[/C][/ROW]
[ROW][C]18[/C][C]11.9[/C][C]13.989[/C][C]-2.08905[/C][/ROW]
[ROW][C]19[/C][C]9.3[/C][C]12.0054[/C][C]-2.70537[/C][/ROW]
[ROW][C]20[/C][C]9.6[/C][C]12.2721[/C][C]-2.67214[/C][/ROW]
[ROW][C]21[/C][C]10[/C][C]11.1093[/C][C]-1.10934[/C][/ROW]
[ROW][C]22[/C][C]6.4[/C][C]11.2059[/C][C]-4.8059[/C][/ROW]
[ROW][C]23[/C][C]13.8[/C][C]12.3486[/C][C]1.45144[/C][/ROW]
[ROW][C]24[/C][C]10.8[/C][C]13.1458[/C][C]-2.3458[/C][/ROW]
[ROW][C]25[/C][C]13.8[/C][C]12.216[/C][C]1.58398[/C][/ROW]
[ROW][C]26[/C][C]11.7[/C][C]12.7386[/C][C]-1.03855[/C][/ROW]
[ROW][C]27[/C][C]10.9[/C][C]14.7064[/C][C]-3.80642[/C][/ROW]
[ROW][C]28[/C][C]16.1[/C][C]13.6493[/C][C]2.45069[/C][/ROW]
[ROW][C]29[/C][C]13.4[/C][C]11.2746[/C][C]2.12537[/C][/ROW]
[ROW][C]30[/C][C]9.9[/C][C]11.4328[/C][C]-1.53279[/C][/ROW]
[ROW][C]31[/C][C]11.5[/C][C]11.9522[/C][C]-0.452167[/C][/ROW]
[ROW][C]32[/C][C]8.3[/C][C]12.0346[/C][C]-3.73457[/C][/ROW]
[ROW][C]33[/C][C]11.7[/C][C]13.2693[/C][C]-1.56934[/C][/ROW]
[ROW][C]34[/C][C]6.1[/C][C]12.1206[/C][C]-6.02063[/C][/ROW]
[ROW][C]35[/C][C]9[/C][C]12.3209[/C][C]-3.32095[/C][/ROW]
[ROW][C]36[/C][C]9.7[/C][C]14.1091[/C][C]-4.40908[/C][/ROW]
[ROW][C]37[/C][C]10.8[/C][C]12.5641[/C][C]-1.76406[/C][/ROW]
[ROW][C]38[/C][C]10.3[/C][C]12.6766[/C][C]-2.37661[/C][/ROW]
[ROW][C]39[/C][C]10.4[/C][C]11.3321[/C][C]-0.93208[/C][/ROW]
[ROW][C]40[/C][C]12.7[/C][C]12.171[/C][C]0.529009[/C][/ROW]
[ROW][C]41[/C][C]9.3[/C][C]12.1801[/C][C]-2.8801[/C][/ROW]
[ROW][C]42[/C][C]11.8[/C][C]14.4428[/C][C]-2.64279[/C][/ROW]
[ROW][C]43[/C][C]5.9[/C][C]10.9936[/C][C]-5.09362[/C][/ROW]
[ROW][C]44[/C][C]11.4[/C][C]13.9527[/C][C]-2.55267[/C][/ROW]
[ROW][C]45[/C][C]13[/C][C]11.9569[/C][C]1.04311[/C][/ROW]
[ROW][C]46[/C][C]10.8[/C][C]12.9014[/C][C]-2.10136[/C][/ROW]
[ROW][C]47[/C][C]12.3[/C][C]10.6634[/C][C]1.6366[/C][/ROW]
[ROW][C]48[/C][C]11.3[/C][C]13.22[/C][C]-1.92[/C][/ROW]
[ROW][C]49[/C][C]11.8[/C][C]12.5579[/C][C]-0.757884[/C][/ROW]
[ROW][C]50[/C][C]7.9[/C][C]10.9003[/C][C]-3.00027[/C][/ROW]
[ROW][C]51[/C][C]12.7[/C][C]9.93271[/C][C]2.76729[/C][/ROW]
[ROW][C]52[/C][C]12.3[/C][C]10.8827[/C][C]1.4173[/C][/ROW]
[ROW][C]53[/C][C]11.6[/C][C]11.9535[/C][C]-0.353525[/C][/ROW]
[ROW][C]54[/C][C]6.7[/C][C]10.9863[/C][C]-4.28631[/C][/ROW]
[ROW][C]55[/C][C]10.9[/C][C]13.1725[/C][C]-2.27254[/C][/ROW]
[ROW][C]56[/C][C]12.1[/C][C]12.3392[/C][C]-0.239168[/C][/ROW]
[ROW][C]57[/C][C]13.3[/C][C]13.2909[/C][C]0.00914703[/C][/ROW]
[ROW][C]58[/C][C]10.1[/C][C]13.464[/C][C]-3.36404[/C][/ROW]
[ROW][C]59[/C][C]5.7[/C][C]11.686[/C][C]-5.98597[/C][/ROW]
[ROW][C]60[/C][C]14.3[/C][C]11.9024[/C][C]2.39764[/C][/ROW]
[ROW][C]61[/C][C]8[/C][C]9.071[/C][C]-1.071[/C][/ROW]
[ROW][C]62[/C][C]13.3[/C][C]12.247[/C][C]1.05303[/C][/ROW]
[ROW][C]63[/C][C]9.3[/C][C]13.2116[/C][C]-3.91159[/C][/ROW]
[ROW][C]64[/C][C]12.5[/C][C]11.3795[/C][C]1.1205[/C][/ROW]
[ROW][C]65[/C][C]7.6[/C][C]10.9577[/C][C]-3.35774[/C][/ROW]
[ROW][C]66[/C][C]15.9[/C][C]14.0149[/C][C]1.88513[/C][/ROW]
[ROW][C]67[/C][C]9.2[/C][C]11.3723[/C][C]-2.17228[/C][/ROW]
[ROW][C]68[/C][C]9.1[/C][C]10.6356[/C][C]-1.53561[/C][/ROW]
[ROW][C]69[/C][C]11.1[/C][C]13.7945[/C][C]-2.69455[/C][/ROW]
[ROW][C]70[/C][C]13[/C][C]14.054[/C][C]-1.05397[/C][/ROW]
[ROW][C]71[/C][C]14.5[/C][C]12.5149[/C][C]1.98505[/C][/ROW]
[ROW][C]72[/C][C]12.2[/C][C]11.1649[/C][C]1.03509[/C][/ROW]
[ROW][C]73[/C][C]12.3[/C][C]13.6182[/C][C]-1.31822[/C][/ROW]
[ROW][C]74[/C][C]11.4[/C][C]11.2532[/C][C]0.146832[/C][/ROW]
[ROW][C]75[/C][C]8.8[/C][C]11.5095[/C][C]-2.70952[/C][/ROW]
[ROW][C]76[/C][C]14.6[/C][C]11.2939[/C][C]3.30614[/C][/ROW]
[ROW][C]77[/C][C]7.3[/C][C]12.6224[/C][C]-5.32235[/C][/ROW]
[ROW][C]78[/C][C]12.6[/C][C]12.8362[/C][C]-0.236196[/C][/ROW]
[ROW][C]79[/C][C]NA[/C][C]NA[/C][C]-0.670619[/C][/ROW]
[ROW][C]80[/C][C]13[/C][C]11.9079[/C][C]1.09205[/C][/ROW]
[ROW][C]81[/C][C]12.6[/C][C]14.0343[/C][C]-1.43432[/C][/ROW]
[ROW][C]82[/C][C]13.2[/C][C]14.3232[/C][C]-1.12316[/C][/ROW]
[ROW][C]83[/C][C]9.9[/C][C]13.8823[/C][C]-3.98229[/C][/ROW]
[ROW][C]84[/C][C]7.7[/C][C]7.934[/C][C]-0.234004[/C][/ROW]
[ROW][C]85[/C][C]10.5[/C][C]7.30298[/C][C]3.19702[/C][/ROW]
[ROW][C]86[/C][C]13.4[/C][C]14.4924[/C][C]-1.09241[/C][/ROW]
[ROW][C]87[/C][C]10.9[/C][C]16.5766[/C][C]-5.67657[/C][/ROW]
[ROW][C]88[/C][C]4.3[/C][C]4.9059[/C][C]-0.605898[/C][/ROW]
[ROW][C]89[/C][C]10.3[/C][C]10.3987[/C][C]-0.0986532[/C][/ROW]
[ROW][C]90[/C][C]11.8[/C][C]10.9698[/C][C]0.830164[/C][/ROW]
[ROW][C]91[/C][C]11.2[/C][C]10.2797[/C][C]0.920313[/C][/ROW]
[ROW][C]92[/C][C]11.4[/C][C]12.9834[/C][C]-1.58336[/C][/ROW]
[ROW][C]93[/C][C]8.6[/C][C]6.26185[/C][C]2.33815[/C][/ROW]
[ROW][C]94[/C][C]13.2[/C][C]11.103[/C][C]2.09698[/C][/ROW]
[ROW][C]95[/C][C]12.6[/C][C]18.2611[/C][C]-5.6611[/C][/ROW]
[ROW][C]96[/C][C]5.6[/C][C]7.13801[/C][C]-1.53801[/C][/ROW]
[ROW][C]97[/C][C]9.9[/C][C]13.1962[/C][C]-3.29621[/C][/ROW]
[ROW][C]98[/C][C]8.8[/C][C]12.7313[/C][C]-3.93133[/C][/ROW]
[ROW][C]99[/C][C]7.7[/C][C]8.84476[/C][C]-1.14476[/C][/ROW]
[ROW][C]100[/C][C]9[/C][C]14.0736[/C][C]-5.07357[/C][/ROW]
[ROW][C]101[/C][C]7.3[/C][C]6.77607[/C][C]0.523934[/C][/ROW]
[ROW][C]102[/C][C]11.4[/C][C]9.39202[/C][C]2.00798[/C][/ROW]
[ROW][C]103[/C][C]13.6[/C][C]16.1572[/C][C]-2.55719[/C][/ROW]
[ROW][C]104[/C][C]7.9[/C][C]8.18066[/C][C]-0.280659[/C][/ROW]
[ROW][C]105[/C][C]10.7[/C][C]11.7749[/C][C]-1.07486[/C][/ROW]
[ROW][C]106[/C][C]10.3[/C][C]12.0977[/C][C]-1.79766[/C][/ROW]
[ROW][C]107[/C][C]8.3[/C][C]9.40884[/C][C]-1.10884[/C][/ROW]
[ROW][C]108[/C][C]9.6[/C][C]7.15299[/C][C]2.44701[/C][/ROW]
[ROW][C]109[/C][C]14.2[/C][C]15.7983[/C][C]-1.59828[/C][/ROW]
[ROW][C]110[/C][C]8.5[/C][C]5.21218[/C][C]3.28782[/C][/ROW]
[ROW][C]111[/C][C]13.5[/C][C]19.1379[/C][C]-5.63794[/C][/ROW]
[ROW][C]112[/C][C]4.9[/C][C]8.56553[/C][C]-3.66553[/C][/ROW]
[ROW][C]113[/C][C]6.4[/C][C]7.29374[/C][C]-0.89374[/C][/ROW]
[ROW][C]114[/C][C]9.6[/C][C]8.57323[/C][C]1.02677[/C][/ROW]
[ROW][C]115[/C][C]11.6[/C][C]10.597[/C][C]1.00302[/C][/ROW]
[ROW][C]116[/C][C]11.1[/C][C]16.8467[/C][C]-5.74668[/C][/ROW]
[ROW][C]117[/C][C]4.35[/C][C]4.87913[/C][C]-0.529126[/C][/ROW]
[ROW][C]118[/C][C]12.7[/C][C]9.27381[/C][C]3.42619[/C][/ROW]
[ROW][C]119[/C][C]18.1[/C][C]15.2554[/C][C]2.84462[/C][/ROW]
[ROW][C]120[/C][C]17.85[/C][C]18.101[/C][C]-0.251018[/C][/ROW]
[ROW][C]121[/C][C]16.6[/C][C]13.818[/C][C]2.78203[/C][/ROW]
[ROW][C]122[/C][C]12.6[/C][C]17.8211[/C][C]-5.2211[/C][/ROW]
[ROW][C]123[/C][C]17.1[/C][C]13.5933[/C][C]3.50666[/C][/ROW]
[ROW][C]124[/C][C]19.1[/C][C]21.979[/C][C]-2.87897[/C][/ROW]
[ROW][C]125[/C][C]16.1[/C][C]13.1549[/C][C]2.94514[/C][/ROW]
[ROW][C]126[/C][C]13.35[/C][C]12.6791[/C][C]0.670883[/C][/ROW]
[ROW][C]127[/C][C]18.4[/C][C]14.4916[/C][C]3.90842[/C][/ROW]
[ROW][C]128[/C][C]14.7[/C][C]18.6908[/C][C]-3.99076[/C][/ROW]
[ROW][C]129[/C][C]10.6[/C][C]11.3407[/C][C]-0.740697[/C][/ROW]
[ROW][C]130[/C][C]12.6[/C][C]11.507[/C][C]1.09301[/C][/ROW]
[ROW][C]131[/C][C]16.2[/C][C]19.6768[/C][C]-3.4768[/C][/ROW]
[ROW][C]132[/C][C]13.6[/C][C]10.2154[/C][C]3.38457[/C][/ROW]
[ROW][C]133[/C][C]18.9[/C][C]17.1584[/C][C]1.74156[/C][/ROW]
[ROW][C]134[/C][C]14.1[/C][C]11.5468[/C][C]2.55317[/C][/ROW]
[ROW][C]135[/C][C]14.5[/C][C]16.1748[/C][C]-1.67476[/C][/ROW]
[ROW][C]136[/C][C]16.15[/C][C]14.6561[/C][C]1.49387[/C][/ROW]
[ROW][C]137[/C][C]14.75[/C][C]13.765[/C][C]0.984981[/C][/ROW]
[ROW][C]138[/C][C]14.8[/C][C]14.7744[/C][C]0.025616[/C][/ROW]
[ROW][C]139[/C][C]12.45[/C][C]14.2898[/C][C]-1.83976[/C][/ROW]
[ROW][C]140[/C][C]12.65[/C][C]9.1544[/C][C]3.4956[/C][/ROW]
[ROW][C]141[/C][C]17.35[/C][C]20.7474[/C][C]-3.39744[/C][/ROW]
[ROW][C]142[/C][C]8.6[/C][C]7.81343[/C][C]0.786575[/C][/ROW]
[ROW][C]143[/C][C]18.4[/C][C]20.4091[/C][C]-2.00911[/C][/ROW]
[ROW][C]144[/C][C]16.1[/C][C]15.8686[/C][C]0.231361[/C][/ROW]
[ROW][C]145[/C][C]11.6[/C][C]5.56284[/C][C]6.03716[/C][/ROW]
[ROW][C]146[/C][C]17.75[/C][C]15.2805[/C][C]2.46953[/C][/ROW]
[ROW][C]147[/C][C]15.25[/C][C]13.6983[/C][C]1.5517[/C][/ROW]
[ROW][C]148[/C][C]17.65[/C][C]15.3459[/C][C]2.30408[/C][/ROW]
[ROW][C]149[/C][C]15.6[/C][C]14.2637[/C][C]1.33628[/C][/ROW]
[ROW][C]150[/C][C]16.35[/C][C]13.9947[/C][C]2.35528[/C][/ROW]
[ROW][C]151[/C][C]17.65[/C][C]16.6172[/C][C]1.03276[/C][/ROW]
[ROW][C]152[/C][C]13.6[/C][C]13.7427[/C][C]-0.14267[/C][/ROW]
[ROW][C]153[/C][C]11.7[/C][C]10.6864[/C][C]1.01356[/C][/ROW]
[ROW][C]154[/C][C]14.35[/C][C]16.7898[/C][C]-2.43981[/C][/ROW]
[ROW][C]155[/C][C]14.75[/C][C]12.7812[/C][C]1.96882[/C][/ROW]
[ROW][C]156[/C][C]18.25[/C][C]23.0032[/C][C]-4.75321[/C][/ROW]
[ROW][C]157[/C][C]9.9[/C][C]8.2651[/C][C]1.6349[/C][/ROW]
[ROW][C]158[/C][C]16[/C][C]13.3689[/C][C]2.63107[/C][/ROW]
[ROW][C]159[/C][C]18.25[/C][C]18.8081[/C][C]-0.558145[/C][/ROW]
[ROW][C]160[/C][C]16.85[/C][C]14.7524[/C][C]2.09757[/C][/ROW]
[ROW][C]161[/C][C]14.6[/C][C]14.6166[/C][C]-0.0166072[/C][/ROW]
[ROW][C]162[/C][C]13.85[/C][C]11.4209[/C][C]2.42906[/C][/ROW]
[ROW][C]163[/C][C]18.95[/C][C]17.8366[/C][C]1.11336[/C][/ROW]
[ROW][C]164[/C][C]15.6[/C][C]18.3952[/C][C]-2.79523[/C][/ROW]
[ROW][C]165[/C][C]14.85[/C][C]15.4198[/C][C]-0.569756[/C][/ROW]
[ROW][C]166[/C][C]11.75[/C][C]6.76056[/C][C]4.98944[/C][/ROW]
[ROW][C]167[/C][C]18.45[/C][C]19.8149[/C][C]-1.36485[/C][/ROW]
[ROW][C]168[/C][C]15.9[/C][C]13.0619[/C][C]2.83811[/C][/ROW]
[ROW][C]169[/C][C]17.1[/C][C]11.9798[/C][C]5.12017[/C][/ROW]
[ROW][C]170[/C][C]16.1[/C][C]11.3762[/C][C]4.72376[/C][/ROW]
[ROW][C]171[/C][C]19.9[/C][C]19.1831[/C][C]0.716872[/C][/ROW]
[ROW][C]172[/C][C]10.95[/C][C]8.55992[/C][C]2.39008[/C][/ROW]
[ROW][C]173[/C][C]18.45[/C][C]13.7552[/C][C]4.69476[/C][/ROW]
[ROW][C]174[/C][C]15.1[/C][C]15.3536[/C][C]-0.253593[/C][/ROW]
[ROW][C]175[/C][C]15[/C][C]17.7811[/C][C]-2.78115[/C][/ROW]
[ROW][C]176[/C][C]11.35[/C][C]10.3011[/C][C]1.04891[/C][/ROW]
[ROW][C]177[/C][C]15.95[/C][C]11.1633[/C][C]4.78673[/C][/ROW]
[ROW][C]178[/C][C]18.1[/C][C]16.5617[/C][C]1.53831[/C][/ROW]
[ROW][C]179[/C][C]14.6[/C][C]15.2297[/C][C]-0.629677[/C][/ROW]
[ROW][C]180[/C][C]15.4[/C][C]16.0092[/C][C]-0.60923[/C][/ROW]
[ROW][C]181[/C][C]15.4[/C][C]11.3015[/C][C]4.09849[/C][/ROW]
[ROW][C]182[/C][C]17.6[/C][C]18.2434[/C][C]-0.643363[/C][/ROW]
[ROW][C]183[/C][C]13.35[/C][C]10.8881[/C][C]2.46187[/C][/ROW]
[ROW][C]184[/C][C]19.1[/C][C]16.8422[/C][C]2.25779[/C][/ROW]
[ROW][C]185[/C][C]15.35[/C][C]19.8089[/C][C]-4.4589[/C][/ROW]
[ROW][C]186[/C][C]7.6[/C][C]8.54903[/C][C]-0.949027[/C][/ROW]
[ROW][C]187[/C][C]13.4[/C][C]13.04[/C][C]0.360044[/C][/ROW]
[ROW][C]188[/C][C]13.9[/C][C]12.089[/C][C]1.81098[/C][/ROW]
[ROW][C]189[/C][C]19.1[/C][C]17.5423[/C][C]1.55767[/C][/ROW]
[ROW][C]190[/C][C]15.25[/C][C]14.4411[/C][C]0.808899[/C][/ROW]
[ROW][C]191[/C][C]12.9[/C][C]10.8[/C][C]2.10001[/C][/ROW]
[ROW][C]192[/C][C]16.1[/C][C]10.8991[/C][C]5.20092[/C][/ROW]
[ROW][C]193[/C][C]17.35[/C][C]16.4421[/C][C]0.907852[/C][/ROW]
[ROW][C]194[/C][C]13.15[/C][C]10.4376[/C][C]2.71236[/C][/ROW]
[ROW][C]195[/C][C]12.15[/C][C]12.0401[/C][C]0.109858[/C][/ROW]
[ROW][C]196[/C][C]12.6[/C][C]13.9748[/C][C]-1.37481[/C][/ROW]
[ROW][C]197[/C][C]10.35[/C][C]7.13819[/C][C]3.21181[/C][/ROW]
[ROW][C]198[/C][C]15.4[/C][C]16.5552[/C][C]-1.15518[/C][/ROW]
[ROW][C]199[/C][C]9.6[/C][C]4.13673[/C][C]5.46327[/C][/ROW]
[ROW][C]200[/C][C]18.2[/C][C]16.7907[/C][C]1.40933[/C][/ROW]
[ROW][C]201[/C][C]13.6[/C][C]13.8509[/C][C]-0.25092[/C][/ROW]
[ROW][C]202[/C][C]14.85[/C][C]17.1797[/C][C]-2.3297[/C][/ROW]
[ROW][C]203[/C][C]14.75[/C][C]13.9732[/C][C]0.776834[/C][/ROW]
[ROW][C]204[/C][C]14.1[/C][C]10.2076[/C][C]3.89243[/C][/ROW]
[ROW][C]205[/C][C]14.9[/C][C]11.2401[/C][C]3.65994[/C][/ROW]
[ROW][C]206[/C][C]16.25[/C][C]14.8484[/C][C]1.40158[/C][/ROW]
[ROW][C]207[/C][C]19.25[/C][C]17.6547[/C][C]1.59526[/C][/ROW]
[ROW][C]208[/C][C]13.6[/C][C]12.9607[/C][C]0.639324[/C][/ROW]
[ROW][C]209[/C][C]13.6[/C][C]13.0528[/C][C]0.547171[/C][/ROW]
[ROW][C]210[/C][C]15.65[/C][C]14.6741[/C][C]0.975854[/C][/ROW]
[ROW][C]211[/C][C]12.75[/C][C]9.20181[/C][C]3.54819[/C][/ROW]
[ROW][C]212[/C][C]14.6[/C][C]17.8252[/C][C]-3.22517[/C][/ROW]
[ROW][C]213[/C][C]9.85[/C][C]8.64114[/C][C]1.20886[/C][/ROW]
[ROW][C]214[/C][C]12.65[/C][C]12.6299[/C][C]0.0200621[/C][/ROW]
[ROW][C]215[/C][C]11.9[/C][C]8.64028[/C][C]3.25972[/C][/ROW]
[ROW][C]216[/C][C]19.2[/C][C]16.7036[/C][C]2.49637[/C][/ROW]
[ROW][C]217[/C][C]16.6[/C][C]15.5836[/C][C]1.01637[/C][/ROW]
[ROW][C]218[/C][C]11.2[/C][C]8.80843[/C][C]2.39157[/C][/ROW]
[ROW][C]219[/C][C]15.25[/C][C]18.0769[/C][C]-2.82692[/C][/ROW]
[ROW][C]220[/C][C]11.9[/C][C]14.1079[/C][C]-2.20791[/C][/ROW]
[ROW][C]221[/C][C]13.2[/C][C]14.1052[/C][C]-0.905177[/C][/ROW]
[ROW][C]222[/C][C]16.35[/C][C]17.014[/C][C]-0.663978[/C][/ROW]
[ROW][C]223[/C][C]12.4[/C][C]9.56081[/C][C]2.83919[/C][/ROW]
[ROW][C]224[/C][C]15.85[/C][C]14.7545[/C][C]1.09554[/C][/ROW]
[ROW][C]225[/C][C]14.35[/C][C]10.9891[/C][C]3.36088[/C][/ROW]
[ROW][C]226[/C][C]18.15[/C][C]18.6327[/C][C]-0.482728[/C][/ROW]
[ROW][C]227[/C][C]11.15[/C][C]11.272[/C][C]-0.121971[/C][/ROW]
[ROW][C]228[/C][C]15.65[/C][C]13.5666[/C][C]2.08341[/C][/ROW]
[ROW][C]229[/C][C]17.75[/C][C]22.1306[/C][C]-4.38065[/C][/ROW]
[ROW][C]230[/C][C]7.65[/C][C]7.28899[/C][C]0.361006[/C][/ROW]
[ROW][C]231[/C][C]12.35[/C][C]7.86111[/C][C]4.48889[/C][/ROW]
[ROW][C]232[/C][C]15.6[/C][C]12.4337[/C][C]3.16629[/C][/ROW]
[ROW][C]233[/C][C]19.3[/C][C]15.9169[/C][C]3.38315[/C][/ROW]
[ROW][C]234[/C][C]15.2[/C][C]11.1086[/C][C]4.09143[/C][/ROW]
[ROW][C]235[/C][C]17.1[/C][C]13.829[/C][C]3.27096[/C][/ROW]
[ROW][C]236[/C][C]15.6[/C][C]12.4144[/C][C]3.18561[/C][/ROW]
[ROW][C]237[/C][C]18.4[/C][C]14.3486[/C][C]4.05141[/C][/ROW]
[ROW][C]238[/C][C]19.05[/C][C]12.6524[/C][C]6.39756[/C][/ROW]
[ROW][C]239[/C][C]18.55[/C][C]16.5747[/C][C]1.97529[/C][/ROW]
[ROW][C]240[/C][C]19.1[/C][C]17.4856[/C][C]1.61436[/C][/ROW]
[ROW][C]241[/C][C]13.1[/C][C]13.0898[/C][C]0.0101564[/C][/ROW]
[ROW][C]242[/C][C]12.85[/C][C]14.1513[/C][C]-1.30126[/C][/ROW]
[ROW][C]243[/C][C]9.5[/C][C]16.2122[/C][C]-6.71223[/C][/ROW]
[ROW][C]244[/C][C]4.5[/C][C]3.01081[/C][C]1.48919[/C][/ROW]
[ROW][C]245[/C][C]11.85[/C][C]13.5275[/C][C]-1.67748[/C][/ROW]
[ROW][C]246[/C][C]13.6[/C][C]15.2373[/C][C]-1.63729[/C][/ROW]
[ROW][C]247[/C][C]11.7[/C][C]10.2356[/C][C]1.46441[/C][/ROW]
[ROW][C]248[/C][C]12.4[/C][C]13.8519[/C][C]-1.45194[/C][/ROW]
[ROW][C]249[/C][C]13.35[/C][C]15.5076[/C][C]-2.15756[/C][/ROW]
[ROW][C]250[/C][C]11.4[/C][C]7.93745[/C][C]3.46255[/C][/ROW]
[ROW][C]251[/C][C]14.9[/C][C]10.1149[/C][C]4.7851[/C][/ROW]
[ROW][C]252[/C][C]19.9[/C][C]14.065[/C][C]5.83503[/C][/ROW]
[ROW][C]253[/C][C]17.75[/C][C]18.3749[/C][C]-0.624896[/C][/ROW]
[ROW][C]254[/C][C]11.2[/C][C]11.9485[/C][C]-0.748495[/C][/ROW]
[ROW][C]255[/C][C]14.6[/C][C]13.2739[/C][C]1.32609[/C][/ROW]
[ROW][C]256[/C][C]17.6[/C][C]15.8626[/C][C]1.73736[/C][/ROW]
[ROW][C]257[/C][C]14.05[/C][C]13.3061[/C][C]0.743873[/C][/ROW]
[ROW][C]258[/C][C]16.1[/C][C]15.5416[/C][C]0.558407[/C][/ROW]
[ROW][C]259[/C][C]13.35[/C][C]13.5904[/C][C]-0.240414[/C][/ROW]
[ROW][C]260[/C][C]11.85[/C][C]14.2379[/C][C]-2.38795[/C][/ROW]
[ROW][C]261[/C][C]11.95[/C][C]11.98[/C][C]-0.0299582[/C][/ROW]
[ROW][C]262[/C][C]14.75[/C][C]13.0811[/C][C]1.66886[/C][/ROW]
[ROW][C]263[/C][C]15.15[/C][C]15.8774[/C][C]-0.727384[/C][/ROW]
[ROW][C]264[/C][C]13.2[/C][C]11.901[/C][C]1.29903[/C][/ROW]
[ROW][C]265[/C][C]16.85[/C][C]19.0135[/C][C]-2.16346[/C][/ROW]
[ROW][C]266[/C][C]7.85[/C][C]14.3612[/C][C]-6.51125[/C][/ROW]
[ROW][C]267[/C][C]7.7[/C][C]6.44153[/C][C]1.25847[/C][/ROW]
[ROW][C]268[/C][C]12.6[/C][C]16.1687[/C][C]-3.56873[/C][/ROW]
[ROW][C]269[/C][C]7.85[/C][C]7.28649[/C][C]0.563515[/C][/ROW]
[ROW][C]270[/C][C]10.95[/C][C]10.6872[/C][C]0.262837[/C][/ROW]
[ROW][C]271[/C][C]12.35[/C][C]14.5404[/C][C]-2.19035[/C][/ROW]
[ROW][C]272[/C][C]9.95[/C][C]6.43633[/C][C]3.51367[/C][/ROW]
[ROW][C]273[/C][C]14.9[/C][C]12.6295[/C][C]2.27053[/C][/ROW]
[ROW][C]274[/C][C]16.65[/C][C]16.4678[/C][C]0.182206[/C][/ROW]
[ROW][C]275[/C][C]13.4[/C][C]12.9538[/C][C]0.446207[/C][/ROW]
[ROW][C]276[/C][C]13.95[/C][C]8.92113[/C][C]5.02887[/C][/ROW]
[ROW][C]277[/C][C]15.7[/C][C]11.1825[/C][C]4.51753[/C][/ROW]
[ROW][C]278[/C][C]16.85[/C][C]16.2426[/C][C]0.607394[/C][/ROW]
[ROW][C]279[/C][C]10.95[/C][C]6.71889[/C][C]4.23111[/C][/ROW]
[ROW][C]280[/C][C]15.35[/C][C]14.2489[/C][C]1.10109[/C][/ROW]
[ROW][C]281[/C][C]12.2[/C][C]10.4847[/C][C]1.71534[/C][/ROW]
[ROW][C]282[/C][C]15.1[/C][C]13.9145[/C][C]1.18554[/C][/ROW]
[ROW][C]283[/C][C]17.75[/C][C]15.2698[/C][C]2.48015[/C][/ROW]
[ROW][C]284[/C][C]15.2[/C][C]14.0235[/C][C]1.17653[/C][/ROW]
[ROW][C]285[/C][C]14.6[/C][C]12.5971[/C][C]2.00293[/C][/ROW]
[ROW][C]286[/C][C]16.65[/C][C]19.4525[/C][C]-2.80252[/C][/ROW]
[ROW][C]287[/C][C]8.1[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269109&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269109&T=4

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


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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
112.912.72180.178157
27.411.9274-4.52736
312.211.52440.675572
412.812.38010.419905
57.412.547-5.14696
66.711.657-4.95697
712.614.8273-2.22729
814.812.76282.03724
913.312.83030.469713
1011.112.252-1.15199
118.214.1513-5.95134
1211.413.0483-1.64833
136.414.2847-7.8847
1410.611.3415-0.741455
151213.5512-1.55124
166.39.39753-3.09753
1711.310.93740.362639
1811.913.989-2.08905
199.312.0054-2.70537
209.612.2721-2.67214
211011.1093-1.10934
226.411.2059-4.8059
2313.812.34861.45144
2410.813.1458-2.3458
2513.812.2161.58398
2611.712.7386-1.03855
2710.914.7064-3.80642
2816.113.64932.45069
2913.411.27462.12537
309.911.4328-1.53279
3111.511.9522-0.452167
328.312.0346-3.73457
3311.713.2693-1.56934
346.112.1206-6.02063
35912.3209-3.32095
369.714.1091-4.40908
3710.812.5641-1.76406
3810.312.6766-2.37661
3910.411.3321-0.93208
4012.712.1710.529009
419.312.1801-2.8801
4211.814.4428-2.64279
435.910.9936-5.09362
4411.413.9527-2.55267
451311.95691.04311
4610.812.9014-2.10136
4712.310.66341.6366
4811.313.22-1.92
4911.812.5579-0.757884
507.910.9003-3.00027
5112.79.932712.76729
5212.310.88271.4173
5311.611.9535-0.353525
546.710.9863-4.28631
5510.913.1725-2.27254
5612.112.3392-0.239168
5713.313.29090.00914703
5810.113.464-3.36404
595.711.686-5.98597
6014.311.90242.39764
6189.071-1.071
6213.312.2471.05303
639.313.2116-3.91159
6412.511.37951.1205
657.610.9577-3.35774
6615.914.01491.88513
679.211.3723-2.17228
689.110.6356-1.53561
6911.113.7945-2.69455
701314.054-1.05397
7114.512.51491.98505
7212.211.16491.03509
7312.313.6182-1.31822
7411.411.25320.146832
758.811.5095-2.70952
7614.611.29393.30614
777.312.6224-5.32235
7812.612.8362-0.236196
79NANA-0.670619
801311.90791.09205
8112.614.0343-1.43432
8213.214.3232-1.12316
839.913.8823-3.98229
847.77.934-0.234004
8510.57.302983.19702
8613.414.4924-1.09241
8710.916.5766-5.67657
884.34.9059-0.605898
8910.310.3987-0.0986532
9011.810.96980.830164
9111.210.27970.920313
9211.412.9834-1.58336
938.66.261852.33815
9413.211.1032.09698
9512.618.2611-5.6611
965.67.13801-1.53801
979.913.1962-3.29621
988.812.7313-3.93133
997.78.84476-1.14476
100914.0736-5.07357
1017.36.776070.523934
10211.49.392022.00798
10313.616.1572-2.55719
1047.98.18066-0.280659
10510.711.7749-1.07486
10610.312.0977-1.79766
1078.39.40884-1.10884
1089.67.152992.44701
10914.215.7983-1.59828
1108.55.212183.28782
11113.519.1379-5.63794
1124.98.56553-3.66553
1136.47.29374-0.89374
1149.68.573231.02677
11511.610.5971.00302
11611.116.8467-5.74668
1174.354.87913-0.529126
11812.79.273813.42619
11918.115.25542.84462
12017.8518.101-0.251018
12116.613.8182.78203
12212.617.8211-5.2211
12317.113.59333.50666
12419.121.979-2.87897
12516.113.15492.94514
12613.3512.67910.670883
12718.414.49163.90842
12814.718.6908-3.99076
12910.611.3407-0.740697
13012.611.5071.09301
13116.219.6768-3.4768
13213.610.21543.38457
13318.917.15841.74156
13414.111.54682.55317
13514.516.1748-1.67476
13616.1514.65611.49387
13714.7513.7650.984981
13814.814.77440.025616
13912.4514.2898-1.83976
14012.659.15443.4956
14117.3520.7474-3.39744
1428.67.813430.786575
14318.420.4091-2.00911
14416.115.86860.231361
14511.65.562846.03716
14617.7515.28052.46953
14715.2513.69831.5517
14817.6515.34592.30408
14915.614.26371.33628
15016.3513.99472.35528
15117.6516.61721.03276
15213.613.7427-0.14267
15311.710.68641.01356
15414.3516.7898-2.43981
15514.7512.78121.96882
15618.2523.0032-4.75321
1579.98.26511.6349
1581613.36892.63107
15918.2518.8081-0.558145
16016.8514.75242.09757
16114.614.6166-0.0166072
16213.8511.42092.42906
16318.9517.83661.11336
16415.618.3952-2.79523
16514.8515.4198-0.569756
16611.756.760564.98944
16718.4519.8149-1.36485
16815.913.06192.83811
16917.111.97985.12017
17016.111.37624.72376
17119.919.18310.716872
17210.958.559922.39008
17318.4513.75524.69476
17415.115.3536-0.253593
1751517.7811-2.78115
17611.3510.30111.04891
17715.9511.16334.78673
17818.116.56171.53831
17914.615.2297-0.629677
18015.416.0092-0.60923
18115.411.30154.09849
18217.618.2434-0.643363
18313.3510.88812.46187
18419.116.84222.25779
18515.3519.8089-4.4589
1867.68.54903-0.949027
18713.413.040.360044
18813.912.0891.81098
18919.117.54231.55767
19015.2514.44110.808899
19112.910.82.10001
19216.110.89915.20092
19317.3516.44210.907852
19413.1510.43762.71236
19512.1512.04010.109858
19612.613.9748-1.37481
19710.357.138193.21181
19815.416.5552-1.15518
1999.64.136735.46327
20018.216.79071.40933
20113.613.8509-0.25092
20214.8517.1797-2.3297
20314.7513.97320.776834
20414.110.20763.89243
20514.911.24013.65994
20616.2514.84841.40158
20719.2517.65471.59526
20813.612.96070.639324
20913.613.05280.547171
21015.6514.67410.975854
21112.759.201813.54819
21214.617.8252-3.22517
2139.858.641141.20886
21412.6512.62990.0200621
21511.98.640283.25972
21619.216.70362.49637
21716.615.58361.01637
21811.28.808432.39157
21915.2518.0769-2.82692
22011.914.1079-2.20791
22113.214.1052-0.905177
22216.3517.014-0.663978
22312.49.560812.83919
22415.8514.75451.09554
22514.3510.98913.36088
22618.1518.6327-0.482728
22711.1511.272-0.121971
22815.6513.56662.08341
22917.7522.1306-4.38065
2307.657.288990.361006
23112.357.861114.48889
23215.612.43373.16629
23319.315.91693.38315
23415.211.10864.09143
23517.113.8293.27096
23615.612.41443.18561
23718.414.34864.05141
23819.0512.65246.39756
23918.5516.57471.97529
24019.117.48561.61436
24113.113.08980.0101564
24212.8514.1513-1.30126
2439.516.2122-6.71223
2444.53.010811.48919
24511.8513.5275-1.67748
24613.615.2373-1.63729
24711.710.23561.46441
24812.413.8519-1.45194
24913.3515.5076-2.15756
25011.47.937453.46255
25114.910.11494.7851
25219.914.0655.83503
25317.7518.3749-0.624896
25411.211.9485-0.748495
25514.613.27391.32609
25617.615.86261.73736
25714.0513.30610.743873
25816.115.54160.558407
25913.3513.5904-0.240414
26011.8514.2379-2.38795
26111.9511.98-0.0299582
26214.7513.08111.66886
26315.1515.8774-0.727384
26413.211.9011.29903
26516.8519.0135-2.16346
2667.8514.3612-6.51125
2677.76.441531.25847
26812.616.1687-3.56873
2697.857.286490.563515
27010.9510.68720.262837
27112.3514.5404-2.19035
2729.956.436333.51367
27314.912.62952.27053
27416.6516.46780.182206
27513.412.95380.446207
27613.958.921135.02887
27715.711.18254.51753
27816.8516.24260.607394
27910.956.718894.23111
28015.3514.24891.10109
28112.210.48471.71534
28215.113.91451.18554
28317.7515.26982.48015
28415.214.02351.17653
28514.612.59712.00293
28616.6519.4525-2.80252
2878.1NANA






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.9261620.1476760.0738379
90.8614680.2770650.138532
100.8048680.3902640.195132
110.8620880.2758230.137912
120.8060840.3878310.193916
130.8743270.2513450.125673
140.8186330.3627330.181367
150.7795770.4408470.220423
160.7374350.525130.262565
170.7184310.5631370.281569
180.6583920.6832160.341608
190.5895940.8208120.410406
200.5233990.9532010.476601
210.4544380.9088770.545562
220.52660.94680.4734
230.5662740.8674520.433726
240.5050150.9899690.494985
250.5265660.9468680.473434
260.4683450.9366910.531655
270.4220240.8440490.577976
280.4571160.9142310.542884
290.4938040.9876070.506196
300.4424720.8849440.557528
310.4062740.8125480.593726
320.3790460.7580930.620954
330.3298030.6596060.670197
340.5054260.9891490.494574
350.490440.980880.50956
360.4761570.9523130.523843
370.4259710.8519420.574029
380.379380.758760.62062
390.3433870.6867740.656613
400.3444490.6888980.655551
410.3259110.6518220.674089
420.289520.579040.71048
430.3861250.7722510.613875
440.3484080.6968170.651592
450.336580.6731610.66342
460.3026560.6053120.697344
470.3086950.6173890.691305
480.2777990.5555970.722201
490.2483440.4966880.751656
500.2351570.4703140.764843
510.2684210.5368410.731579
520.2523830.5047660.747617
530.2229590.4459170.777041
540.2426540.4853070.757346
550.2165410.4330810.783459
560.1951250.390250.804875
570.1914170.3828340.808583
580.1785340.3570670.821466
590.2860460.5720920.713954
600.330050.66010.66995
610.2959290.5918580.704071
620.2894310.5788620.710569
630.3039690.6079390.696031
640.28640.57280.7136
650.2956040.5912070.704396
660.3325950.6651910.667405
670.3295890.6591770.670411
680.2976750.595350.702325
690.287020.5740410.71298
700.2719860.5439720.728014
710.2829040.5658080.717096
720.2656260.5312510.734374
730.2464920.4929840.753508
740.2218190.4436380.778181
750.2064290.4128570.793571
760.2597750.519550.740225
770.3659990.7319980.634001
780.3442530.6885060.655747
790.3245020.6490030.675498
800.3062220.6124450.693778
810.2931470.5862940.706853
820.2628880.5257760.737112
830.2941550.5883110.705845
840.2658880.5317760.734112
850.2872530.5745060.712747
860.2605990.5211990.739401
870.4101770.8203540.589823
880.3830270.7660530.616973
890.3594970.7189950.640503
900.3367890.6735780.663211
910.3205850.6411710.679415
920.305130.6102610.69487
930.3075610.6151220.692439
940.3075420.6150850.692458
950.4615230.9230470.538477
960.4560850.9121690.543915
970.4680370.9360750.531963
980.5122260.9755480.487774
990.5056070.9887850.494393
1000.6204530.7590940.379547
1010.5992190.8015620.400781
1020.6088920.7822160.391108
1030.6378890.7242230.362111
1040.6097120.7805760.390288
1050.5914870.8170260.408513
1060.5860470.8279050.413953
1070.5893960.8212070.410604
1080.6129330.7741340.387067
1090.6152670.7694660.384733
1100.6334980.7330040.366502
1110.7968220.4063550.203178
1120.8279270.3441450.172073
1130.8225550.354890.177445
1140.8150730.3698550.184927
1150.8029660.3940680.197034
1160.9013320.1973370.0986684
1170.8910070.2179850.108993
1180.9251350.149730.074865
1190.941140.1177210.0588604
1200.9344570.1310860.065543
1210.9375670.1248660.0624331
1220.9445130.1109740.0554872
1230.9613990.07720210.038601
1240.9581180.08376340.0418817
1250.9617430.07651450.0382572
1260.9591130.08177350.0408867
1270.9724580.05508380.0275419
1280.9777030.04459470.0222973
1290.9741450.05170910.0258546
1300.9718750.05625040.0281252
1310.9701690.05966190.0298309
1320.9782390.04352160.0217608
1330.9766010.04679790.023399
1340.9768640.04627130.0231356
1350.9742080.05158320.0257916
1360.9715750.05684980.0284249
1370.9673930.06521430.0326071
1380.9611230.07775460.0388773
1390.955290.08941960.0447098
1400.9634780.07304460.0365223
1410.9653220.06935620.0346781
1420.9611430.07771320.0388566
1430.954210.09157960.0457898
1440.9463660.1072680.053634
1450.9699980.06000470.0300024
1460.9683730.0632540.031627
1470.9663350.06733010.0336651
1480.9643450.07130940.0356547
1490.9602830.07943340.0397167
1500.9597110.08057730.0402886
1510.9535940.0928120.046406
1520.9513860.0972280.048614
1530.9438640.1122730.0561363
1540.9398650.120270.0601351
1550.9363190.1273620.0636811
1560.9756980.04860490.0243024
1570.9730210.0539570.0269785
1580.9727040.05459250.0272963
1590.9686830.06263440.0313172
1600.9677590.0644820.032241
1610.9611440.07771190.0388559
1620.9593830.08123370.0406169
1630.952960.09408080.0470404
1640.950310.09937910.0496895
1650.9418970.1162060.0581028
1660.9614150.07716990.0385849
1670.9538640.09227110.0461356
1680.9519330.09613460.0480673
1690.9846560.03068810.0153441
1700.988670.02265950.0113298
1710.9859860.02802870.0140143
1720.9860260.02794880.0139744
1730.9893120.02137690.0106885
1740.9865250.0269490.0134745
1750.9863540.0272930.0136465
1760.9837690.03246120.0162306
1770.9894090.02118130.0105907
1780.9872740.02545250.0127262
1790.9862050.02759010.013795
1800.9852850.02942920.0147146
1810.988620.02275920.0113796
1820.9866360.02672830.0133641
1830.9853570.02928610.0146431
1840.9830880.03382390.016912
1850.9880830.02383410.0119171
1860.9852150.029570.014785
1870.9820.03599950.0179997
1880.979020.04195960.0209798
1890.9753530.04929410.024647
1900.9737960.05240890.0262045
1910.9706080.05878420.0293921
1920.9805160.03896780.0194839
1930.9762320.04753680.0237684
1940.9728280.05434440.0271722
1950.9666450.066710.033355
1960.9611660.0776680.038834
1970.9605180.07896350.0394818
1980.9560890.08782180.0439109
1990.9734740.05305210.026526
2000.968480.0630390.0315195
2010.9621990.07560180.0378009
2020.9644270.07114630.0355732
2030.9569850.08603050.0430152
2040.9630840.07383180.0369159
2050.9646840.07063110.0353155
2060.9629740.07405110.0370255
2070.9586920.08261670.0413084
2080.9535490.09290250.0464513
2090.9432010.1135970.0567985
2100.9340610.1318780.0659389
2110.945090.109820.0549102
2120.9403670.1192660.0596332
2130.9333060.1333890.0666943
2140.9195690.1608610.0804306
2150.9251750.149650.0748248
2160.9241910.1516180.0758092
2170.91390.17220.0861002
2180.9019040.1961920.098096
2190.905480.189040.09452
2200.8904910.2190180.109509
2210.8838320.2323360.116168
2220.8673330.2653340.132667
2230.8664590.2670810.133541
2240.8543960.2912080.145604
2250.838910.3221790.16109
2260.8113980.3772040.188602
2270.7806820.4386360.219318
2280.7530070.4939860.246993
2290.7790780.4418430.220922
2300.7504140.4991710.249586
2310.7468890.5062220.253111
2320.7230.5540.277
2330.7761510.4476970.223849
2340.7700050.4599910.229995
2350.7824570.4350870.217543
2360.7830750.4338510.216925
2370.7822510.4354970.217749
2380.8138270.3723470.186173
2390.7940450.411910.205955
2400.7643530.4712940.235647
2410.777760.444480.22224
2420.7693580.4612840.230642
2430.9078850.1842310.0921153
2440.8943870.2112270.105613
2450.9033660.1932690.0966343
2460.8813510.2372970.118649
2470.8543550.2912910.145645
2480.83650.3270.1635
2490.810290.379420.18971
2500.8008410.3983180.199159
2510.8160120.3679770.183988
2520.8804740.2390530.119526
2530.8502870.2994270.149713
2540.8217850.3564310.178215
2550.7804080.4391850.219592
2560.7392240.5215530.260776
2570.6868850.6262290.313115
2580.6407410.7185170.359259
2590.6288060.7423880.371194
2600.6130870.7738260.386913
2610.5481180.9037630.451882
2620.5393480.9213050.460652
2630.5933140.8133720.406686
2640.5252030.9495940.474797
2650.523220.953560.47678
2660.9905570.01888530.00944267
2670.9845340.03093260.0154663
2680.9982660.003467790.0017339
2690.9981180.003764390.00188219
2700.9980030.003994840.00199742
2710.9998960.0002080430.000104021
2720.9997080.0005833740.000291687
2730.9993090.001381340.00069067
2740.9988390.002321870.00116093
2750.999820.0003599320.000179966
2760.999290.001420220.000710112
2770.9990410.001918320.00095916
2780.9931220.01375520.00687761
2790.9606080.07878340.0393917

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
8 & 0.926162 & 0.147676 & 0.0738379 \tabularnewline
9 & 0.861468 & 0.277065 & 0.138532 \tabularnewline
10 & 0.804868 & 0.390264 & 0.195132 \tabularnewline
11 & 0.862088 & 0.275823 & 0.137912 \tabularnewline
12 & 0.806084 & 0.387831 & 0.193916 \tabularnewline
13 & 0.874327 & 0.251345 & 0.125673 \tabularnewline
14 & 0.818633 & 0.362733 & 0.181367 \tabularnewline
15 & 0.779577 & 0.440847 & 0.220423 \tabularnewline
16 & 0.737435 & 0.52513 & 0.262565 \tabularnewline
17 & 0.718431 & 0.563137 & 0.281569 \tabularnewline
18 & 0.658392 & 0.683216 & 0.341608 \tabularnewline
19 & 0.589594 & 0.820812 & 0.410406 \tabularnewline
20 & 0.523399 & 0.953201 & 0.476601 \tabularnewline
21 & 0.454438 & 0.908877 & 0.545562 \tabularnewline
22 & 0.5266 & 0.9468 & 0.4734 \tabularnewline
23 & 0.566274 & 0.867452 & 0.433726 \tabularnewline
24 & 0.505015 & 0.989969 & 0.494985 \tabularnewline
25 & 0.526566 & 0.946868 & 0.473434 \tabularnewline
26 & 0.468345 & 0.936691 & 0.531655 \tabularnewline
27 & 0.422024 & 0.844049 & 0.577976 \tabularnewline
28 & 0.457116 & 0.914231 & 0.542884 \tabularnewline
29 & 0.493804 & 0.987607 & 0.506196 \tabularnewline
30 & 0.442472 & 0.884944 & 0.557528 \tabularnewline
31 & 0.406274 & 0.812548 & 0.593726 \tabularnewline
32 & 0.379046 & 0.758093 & 0.620954 \tabularnewline
33 & 0.329803 & 0.659606 & 0.670197 \tabularnewline
34 & 0.505426 & 0.989149 & 0.494574 \tabularnewline
35 & 0.49044 & 0.98088 & 0.50956 \tabularnewline
36 & 0.476157 & 0.952313 & 0.523843 \tabularnewline
37 & 0.425971 & 0.851942 & 0.574029 \tabularnewline
38 & 0.37938 & 0.75876 & 0.62062 \tabularnewline
39 & 0.343387 & 0.686774 & 0.656613 \tabularnewline
40 & 0.344449 & 0.688898 & 0.655551 \tabularnewline
41 & 0.325911 & 0.651822 & 0.674089 \tabularnewline
42 & 0.28952 & 0.57904 & 0.71048 \tabularnewline
43 & 0.386125 & 0.772251 & 0.613875 \tabularnewline
44 & 0.348408 & 0.696817 & 0.651592 \tabularnewline
45 & 0.33658 & 0.673161 & 0.66342 \tabularnewline
46 & 0.302656 & 0.605312 & 0.697344 \tabularnewline
47 & 0.308695 & 0.617389 & 0.691305 \tabularnewline
48 & 0.277799 & 0.555597 & 0.722201 \tabularnewline
49 & 0.248344 & 0.496688 & 0.751656 \tabularnewline
50 & 0.235157 & 0.470314 & 0.764843 \tabularnewline
51 & 0.268421 & 0.536841 & 0.731579 \tabularnewline
52 & 0.252383 & 0.504766 & 0.747617 \tabularnewline
53 & 0.222959 & 0.445917 & 0.777041 \tabularnewline
54 & 0.242654 & 0.485307 & 0.757346 \tabularnewline
55 & 0.216541 & 0.433081 & 0.783459 \tabularnewline
56 & 0.195125 & 0.39025 & 0.804875 \tabularnewline
57 & 0.191417 & 0.382834 & 0.808583 \tabularnewline
58 & 0.178534 & 0.357067 & 0.821466 \tabularnewline
59 & 0.286046 & 0.572092 & 0.713954 \tabularnewline
60 & 0.33005 & 0.6601 & 0.66995 \tabularnewline
61 & 0.295929 & 0.591858 & 0.704071 \tabularnewline
62 & 0.289431 & 0.578862 & 0.710569 \tabularnewline
63 & 0.303969 & 0.607939 & 0.696031 \tabularnewline
64 & 0.2864 & 0.5728 & 0.7136 \tabularnewline
65 & 0.295604 & 0.591207 & 0.704396 \tabularnewline
66 & 0.332595 & 0.665191 & 0.667405 \tabularnewline
67 & 0.329589 & 0.659177 & 0.670411 \tabularnewline
68 & 0.297675 & 0.59535 & 0.702325 \tabularnewline
69 & 0.28702 & 0.574041 & 0.71298 \tabularnewline
70 & 0.271986 & 0.543972 & 0.728014 \tabularnewline
71 & 0.282904 & 0.565808 & 0.717096 \tabularnewline
72 & 0.265626 & 0.531251 & 0.734374 \tabularnewline
73 & 0.246492 & 0.492984 & 0.753508 \tabularnewline
74 & 0.221819 & 0.443638 & 0.778181 \tabularnewline
75 & 0.206429 & 0.412857 & 0.793571 \tabularnewline
76 & 0.259775 & 0.51955 & 0.740225 \tabularnewline
77 & 0.365999 & 0.731998 & 0.634001 \tabularnewline
78 & 0.344253 & 0.688506 & 0.655747 \tabularnewline
79 & 0.324502 & 0.649003 & 0.675498 \tabularnewline
80 & 0.306222 & 0.612445 & 0.693778 \tabularnewline
81 & 0.293147 & 0.586294 & 0.706853 \tabularnewline
82 & 0.262888 & 0.525776 & 0.737112 \tabularnewline
83 & 0.294155 & 0.588311 & 0.705845 \tabularnewline
84 & 0.265888 & 0.531776 & 0.734112 \tabularnewline
85 & 0.287253 & 0.574506 & 0.712747 \tabularnewline
86 & 0.260599 & 0.521199 & 0.739401 \tabularnewline
87 & 0.410177 & 0.820354 & 0.589823 \tabularnewline
88 & 0.383027 & 0.766053 & 0.616973 \tabularnewline
89 & 0.359497 & 0.718995 & 0.640503 \tabularnewline
90 & 0.336789 & 0.673578 & 0.663211 \tabularnewline
91 & 0.320585 & 0.641171 & 0.679415 \tabularnewline
92 & 0.30513 & 0.610261 & 0.69487 \tabularnewline
93 & 0.307561 & 0.615122 & 0.692439 \tabularnewline
94 & 0.307542 & 0.615085 & 0.692458 \tabularnewline
95 & 0.461523 & 0.923047 & 0.538477 \tabularnewline
96 & 0.456085 & 0.912169 & 0.543915 \tabularnewline
97 & 0.468037 & 0.936075 & 0.531963 \tabularnewline
98 & 0.512226 & 0.975548 & 0.487774 \tabularnewline
99 & 0.505607 & 0.988785 & 0.494393 \tabularnewline
100 & 0.620453 & 0.759094 & 0.379547 \tabularnewline
101 & 0.599219 & 0.801562 & 0.400781 \tabularnewline
102 & 0.608892 & 0.782216 & 0.391108 \tabularnewline
103 & 0.637889 & 0.724223 & 0.362111 \tabularnewline
104 & 0.609712 & 0.780576 & 0.390288 \tabularnewline
105 & 0.591487 & 0.817026 & 0.408513 \tabularnewline
106 & 0.586047 & 0.827905 & 0.413953 \tabularnewline
107 & 0.589396 & 0.821207 & 0.410604 \tabularnewline
108 & 0.612933 & 0.774134 & 0.387067 \tabularnewline
109 & 0.615267 & 0.769466 & 0.384733 \tabularnewline
110 & 0.633498 & 0.733004 & 0.366502 \tabularnewline
111 & 0.796822 & 0.406355 & 0.203178 \tabularnewline
112 & 0.827927 & 0.344145 & 0.172073 \tabularnewline
113 & 0.822555 & 0.35489 & 0.177445 \tabularnewline
114 & 0.815073 & 0.369855 & 0.184927 \tabularnewline
115 & 0.802966 & 0.394068 & 0.197034 \tabularnewline
116 & 0.901332 & 0.197337 & 0.0986684 \tabularnewline
117 & 0.891007 & 0.217985 & 0.108993 \tabularnewline
118 & 0.925135 & 0.14973 & 0.074865 \tabularnewline
119 & 0.94114 & 0.117721 & 0.0588604 \tabularnewline
120 & 0.934457 & 0.131086 & 0.065543 \tabularnewline
121 & 0.937567 & 0.124866 & 0.0624331 \tabularnewline
122 & 0.944513 & 0.110974 & 0.0554872 \tabularnewline
123 & 0.961399 & 0.0772021 & 0.038601 \tabularnewline
124 & 0.958118 & 0.0837634 & 0.0418817 \tabularnewline
125 & 0.961743 & 0.0765145 & 0.0382572 \tabularnewline
126 & 0.959113 & 0.0817735 & 0.0408867 \tabularnewline
127 & 0.972458 & 0.0550838 & 0.0275419 \tabularnewline
128 & 0.977703 & 0.0445947 & 0.0222973 \tabularnewline
129 & 0.974145 & 0.0517091 & 0.0258546 \tabularnewline
130 & 0.971875 & 0.0562504 & 0.0281252 \tabularnewline
131 & 0.970169 & 0.0596619 & 0.0298309 \tabularnewline
132 & 0.978239 & 0.0435216 & 0.0217608 \tabularnewline
133 & 0.976601 & 0.0467979 & 0.023399 \tabularnewline
134 & 0.976864 & 0.0462713 & 0.0231356 \tabularnewline
135 & 0.974208 & 0.0515832 & 0.0257916 \tabularnewline
136 & 0.971575 & 0.0568498 & 0.0284249 \tabularnewline
137 & 0.967393 & 0.0652143 & 0.0326071 \tabularnewline
138 & 0.961123 & 0.0777546 & 0.0388773 \tabularnewline
139 & 0.95529 & 0.0894196 & 0.0447098 \tabularnewline
140 & 0.963478 & 0.0730446 & 0.0365223 \tabularnewline
141 & 0.965322 & 0.0693562 & 0.0346781 \tabularnewline
142 & 0.961143 & 0.0777132 & 0.0388566 \tabularnewline
143 & 0.95421 & 0.0915796 & 0.0457898 \tabularnewline
144 & 0.946366 & 0.107268 & 0.053634 \tabularnewline
145 & 0.969998 & 0.0600047 & 0.0300024 \tabularnewline
146 & 0.968373 & 0.063254 & 0.031627 \tabularnewline
147 & 0.966335 & 0.0673301 & 0.0336651 \tabularnewline
148 & 0.964345 & 0.0713094 & 0.0356547 \tabularnewline
149 & 0.960283 & 0.0794334 & 0.0397167 \tabularnewline
150 & 0.959711 & 0.0805773 & 0.0402886 \tabularnewline
151 & 0.953594 & 0.092812 & 0.046406 \tabularnewline
152 & 0.951386 & 0.097228 & 0.048614 \tabularnewline
153 & 0.943864 & 0.112273 & 0.0561363 \tabularnewline
154 & 0.939865 & 0.12027 & 0.0601351 \tabularnewline
155 & 0.936319 & 0.127362 & 0.0636811 \tabularnewline
156 & 0.975698 & 0.0486049 & 0.0243024 \tabularnewline
157 & 0.973021 & 0.053957 & 0.0269785 \tabularnewline
158 & 0.972704 & 0.0545925 & 0.0272963 \tabularnewline
159 & 0.968683 & 0.0626344 & 0.0313172 \tabularnewline
160 & 0.967759 & 0.064482 & 0.032241 \tabularnewline
161 & 0.961144 & 0.0777119 & 0.0388559 \tabularnewline
162 & 0.959383 & 0.0812337 & 0.0406169 \tabularnewline
163 & 0.95296 & 0.0940808 & 0.0470404 \tabularnewline
164 & 0.95031 & 0.0993791 & 0.0496895 \tabularnewline
165 & 0.941897 & 0.116206 & 0.0581028 \tabularnewline
166 & 0.961415 & 0.0771699 & 0.0385849 \tabularnewline
167 & 0.953864 & 0.0922711 & 0.0461356 \tabularnewline
168 & 0.951933 & 0.0961346 & 0.0480673 \tabularnewline
169 & 0.984656 & 0.0306881 & 0.0153441 \tabularnewline
170 & 0.98867 & 0.0226595 & 0.0113298 \tabularnewline
171 & 0.985986 & 0.0280287 & 0.0140143 \tabularnewline
172 & 0.986026 & 0.0279488 & 0.0139744 \tabularnewline
173 & 0.989312 & 0.0213769 & 0.0106885 \tabularnewline
174 & 0.986525 & 0.026949 & 0.0134745 \tabularnewline
175 & 0.986354 & 0.027293 & 0.0136465 \tabularnewline
176 & 0.983769 & 0.0324612 & 0.0162306 \tabularnewline
177 & 0.989409 & 0.0211813 & 0.0105907 \tabularnewline
178 & 0.987274 & 0.0254525 & 0.0127262 \tabularnewline
179 & 0.986205 & 0.0275901 & 0.013795 \tabularnewline
180 & 0.985285 & 0.0294292 & 0.0147146 \tabularnewline
181 & 0.98862 & 0.0227592 & 0.0113796 \tabularnewline
182 & 0.986636 & 0.0267283 & 0.0133641 \tabularnewline
183 & 0.985357 & 0.0292861 & 0.0146431 \tabularnewline
184 & 0.983088 & 0.0338239 & 0.016912 \tabularnewline
185 & 0.988083 & 0.0238341 & 0.0119171 \tabularnewline
186 & 0.985215 & 0.02957 & 0.014785 \tabularnewline
187 & 0.982 & 0.0359995 & 0.0179997 \tabularnewline
188 & 0.97902 & 0.0419596 & 0.0209798 \tabularnewline
189 & 0.975353 & 0.0492941 & 0.024647 \tabularnewline
190 & 0.973796 & 0.0524089 & 0.0262045 \tabularnewline
191 & 0.970608 & 0.0587842 & 0.0293921 \tabularnewline
192 & 0.980516 & 0.0389678 & 0.0194839 \tabularnewline
193 & 0.976232 & 0.0475368 & 0.0237684 \tabularnewline
194 & 0.972828 & 0.0543444 & 0.0271722 \tabularnewline
195 & 0.966645 & 0.06671 & 0.033355 \tabularnewline
196 & 0.961166 & 0.077668 & 0.038834 \tabularnewline
197 & 0.960518 & 0.0789635 & 0.0394818 \tabularnewline
198 & 0.956089 & 0.0878218 & 0.0439109 \tabularnewline
199 & 0.973474 & 0.0530521 & 0.026526 \tabularnewline
200 & 0.96848 & 0.063039 & 0.0315195 \tabularnewline
201 & 0.962199 & 0.0756018 & 0.0378009 \tabularnewline
202 & 0.964427 & 0.0711463 & 0.0355732 \tabularnewline
203 & 0.956985 & 0.0860305 & 0.0430152 \tabularnewline
204 & 0.963084 & 0.0738318 & 0.0369159 \tabularnewline
205 & 0.964684 & 0.0706311 & 0.0353155 \tabularnewline
206 & 0.962974 & 0.0740511 & 0.0370255 \tabularnewline
207 & 0.958692 & 0.0826167 & 0.0413084 \tabularnewline
208 & 0.953549 & 0.0929025 & 0.0464513 \tabularnewline
209 & 0.943201 & 0.113597 & 0.0567985 \tabularnewline
210 & 0.934061 & 0.131878 & 0.0659389 \tabularnewline
211 & 0.94509 & 0.10982 & 0.0549102 \tabularnewline
212 & 0.940367 & 0.119266 & 0.0596332 \tabularnewline
213 & 0.933306 & 0.133389 & 0.0666943 \tabularnewline
214 & 0.919569 & 0.160861 & 0.0804306 \tabularnewline
215 & 0.925175 & 0.14965 & 0.0748248 \tabularnewline
216 & 0.924191 & 0.151618 & 0.0758092 \tabularnewline
217 & 0.9139 & 0.1722 & 0.0861002 \tabularnewline
218 & 0.901904 & 0.196192 & 0.098096 \tabularnewline
219 & 0.90548 & 0.18904 & 0.09452 \tabularnewline
220 & 0.890491 & 0.219018 & 0.109509 \tabularnewline
221 & 0.883832 & 0.232336 & 0.116168 \tabularnewline
222 & 0.867333 & 0.265334 & 0.132667 \tabularnewline
223 & 0.866459 & 0.267081 & 0.133541 \tabularnewline
224 & 0.854396 & 0.291208 & 0.145604 \tabularnewline
225 & 0.83891 & 0.322179 & 0.16109 \tabularnewline
226 & 0.811398 & 0.377204 & 0.188602 \tabularnewline
227 & 0.780682 & 0.438636 & 0.219318 \tabularnewline
228 & 0.753007 & 0.493986 & 0.246993 \tabularnewline
229 & 0.779078 & 0.441843 & 0.220922 \tabularnewline
230 & 0.750414 & 0.499171 & 0.249586 \tabularnewline
231 & 0.746889 & 0.506222 & 0.253111 \tabularnewline
232 & 0.723 & 0.554 & 0.277 \tabularnewline
233 & 0.776151 & 0.447697 & 0.223849 \tabularnewline
234 & 0.770005 & 0.459991 & 0.229995 \tabularnewline
235 & 0.782457 & 0.435087 & 0.217543 \tabularnewline
236 & 0.783075 & 0.433851 & 0.216925 \tabularnewline
237 & 0.782251 & 0.435497 & 0.217749 \tabularnewline
238 & 0.813827 & 0.372347 & 0.186173 \tabularnewline
239 & 0.794045 & 0.41191 & 0.205955 \tabularnewline
240 & 0.764353 & 0.471294 & 0.235647 \tabularnewline
241 & 0.77776 & 0.44448 & 0.22224 \tabularnewline
242 & 0.769358 & 0.461284 & 0.230642 \tabularnewline
243 & 0.907885 & 0.184231 & 0.0921153 \tabularnewline
244 & 0.894387 & 0.211227 & 0.105613 \tabularnewline
245 & 0.903366 & 0.193269 & 0.0966343 \tabularnewline
246 & 0.881351 & 0.237297 & 0.118649 \tabularnewline
247 & 0.854355 & 0.291291 & 0.145645 \tabularnewline
248 & 0.8365 & 0.327 & 0.1635 \tabularnewline
249 & 0.81029 & 0.37942 & 0.18971 \tabularnewline
250 & 0.800841 & 0.398318 & 0.199159 \tabularnewline
251 & 0.816012 & 0.367977 & 0.183988 \tabularnewline
252 & 0.880474 & 0.239053 & 0.119526 \tabularnewline
253 & 0.850287 & 0.299427 & 0.149713 \tabularnewline
254 & 0.821785 & 0.356431 & 0.178215 \tabularnewline
255 & 0.780408 & 0.439185 & 0.219592 \tabularnewline
256 & 0.739224 & 0.521553 & 0.260776 \tabularnewline
257 & 0.686885 & 0.626229 & 0.313115 \tabularnewline
258 & 0.640741 & 0.718517 & 0.359259 \tabularnewline
259 & 0.628806 & 0.742388 & 0.371194 \tabularnewline
260 & 0.613087 & 0.773826 & 0.386913 \tabularnewline
261 & 0.548118 & 0.903763 & 0.451882 \tabularnewline
262 & 0.539348 & 0.921305 & 0.460652 \tabularnewline
263 & 0.593314 & 0.813372 & 0.406686 \tabularnewline
264 & 0.525203 & 0.949594 & 0.474797 \tabularnewline
265 & 0.52322 & 0.95356 & 0.47678 \tabularnewline
266 & 0.990557 & 0.0188853 & 0.00944267 \tabularnewline
267 & 0.984534 & 0.0309326 & 0.0154663 \tabularnewline
268 & 0.998266 & 0.00346779 & 0.0017339 \tabularnewline
269 & 0.998118 & 0.00376439 & 0.00188219 \tabularnewline
270 & 0.998003 & 0.00399484 & 0.00199742 \tabularnewline
271 & 0.999896 & 0.000208043 & 0.000104021 \tabularnewline
272 & 0.999708 & 0.000583374 & 0.000291687 \tabularnewline
273 & 0.999309 & 0.00138134 & 0.00069067 \tabularnewline
274 & 0.998839 & 0.00232187 & 0.00116093 \tabularnewline
275 & 0.99982 & 0.000359932 & 0.000179966 \tabularnewline
276 & 0.99929 & 0.00142022 & 0.000710112 \tabularnewline
277 & 0.999041 & 0.00191832 & 0.00095916 \tabularnewline
278 & 0.993122 & 0.0137552 & 0.00687761 \tabularnewline
279 & 0.960608 & 0.0787834 & 0.0393917 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269109&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]8[/C][C]0.926162[/C][C]0.147676[/C][C]0.0738379[/C][/ROW]
[ROW][C]9[/C][C]0.861468[/C][C]0.277065[/C][C]0.138532[/C][/ROW]
[ROW][C]10[/C][C]0.804868[/C][C]0.390264[/C][C]0.195132[/C][/ROW]
[ROW][C]11[/C][C]0.862088[/C][C]0.275823[/C][C]0.137912[/C][/ROW]
[ROW][C]12[/C][C]0.806084[/C][C]0.387831[/C][C]0.193916[/C][/ROW]
[ROW][C]13[/C][C]0.874327[/C][C]0.251345[/C][C]0.125673[/C][/ROW]
[ROW][C]14[/C][C]0.818633[/C][C]0.362733[/C][C]0.181367[/C][/ROW]
[ROW][C]15[/C][C]0.779577[/C][C]0.440847[/C][C]0.220423[/C][/ROW]
[ROW][C]16[/C][C]0.737435[/C][C]0.52513[/C][C]0.262565[/C][/ROW]
[ROW][C]17[/C][C]0.718431[/C][C]0.563137[/C][C]0.281569[/C][/ROW]
[ROW][C]18[/C][C]0.658392[/C][C]0.683216[/C][C]0.341608[/C][/ROW]
[ROW][C]19[/C][C]0.589594[/C][C]0.820812[/C][C]0.410406[/C][/ROW]
[ROW][C]20[/C][C]0.523399[/C][C]0.953201[/C][C]0.476601[/C][/ROW]
[ROW][C]21[/C][C]0.454438[/C][C]0.908877[/C][C]0.545562[/C][/ROW]
[ROW][C]22[/C][C]0.5266[/C][C]0.9468[/C][C]0.4734[/C][/ROW]
[ROW][C]23[/C][C]0.566274[/C][C]0.867452[/C][C]0.433726[/C][/ROW]
[ROW][C]24[/C][C]0.505015[/C][C]0.989969[/C][C]0.494985[/C][/ROW]
[ROW][C]25[/C][C]0.526566[/C][C]0.946868[/C][C]0.473434[/C][/ROW]
[ROW][C]26[/C][C]0.468345[/C][C]0.936691[/C][C]0.531655[/C][/ROW]
[ROW][C]27[/C][C]0.422024[/C][C]0.844049[/C][C]0.577976[/C][/ROW]
[ROW][C]28[/C][C]0.457116[/C][C]0.914231[/C][C]0.542884[/C][/ROW]
[ROW][C]29[/C][C]0.493804[/C][C]0.987607[/C][C]0.506196[/C][/ROW]
[ROW][C]30[/C][C]0.442472[/C][C]0.884944[/C][C]0.557528[/C][/ROW]
[ROW][C]31[/C][C]0.406274[/C][C]0.812548[/C][C]0.593726[/C][/ROW]
[ROW][C]32[/C][C]0.379046[/C][C]0.758093[/C][C]0.620954[/C][/ROW]
[ROW][C]33[/C][C]0.329803[/C][C]0.659606[/C][C]0.670197[/C][/ROW]
[ROW][C]34[/C][C]0.505426[/C][C]0.989149[/C][C]0.494574[/C][/ROW]
[ROW][C]35[/C][C]0.49044[/C][C]0.98088[/C][C]0.50956[/C][/ROW]
[ROW][C]36[/C][C]0.476157[/C][C]0.952313[/C][C]0.523843[/C][/ROW]
[ROW][C]37[/C][C]0.425971[/C][C]0.851942[/C][C]0.574029[/C][/ROW]
[ROW][C]38[/C][C]0.37938[/C][C]0.75876[/C][C]0.62062[/C][/ROW]
[ROW][C]39[/C][C]0.343387[/C][C]0.686774[/C][C]0.656613[/C][/ROW]
[ROW][C]40[/C][C]0.344449[/C][C]0.688898[/C][C]0.655551[/C][/ROW]
[ROW][C]41[/C][C]0.325911[/C][C]0.651822[/C][C]0.674089[/C][/ROW]
[ROW][C]42[/C][C]0.28952[/C][C]0.57904[/C][C]0.71048[/C][/ROW]
[ROW][C]43[/C][C]0.386125[/C][C]0.772251[/C][C]0.613875[/C][/ROW]
[ROW][C]44[/C][C]0.348408[/C][C]0.696817[/C][C]0.651592[/C][/ROW]
[ROW][C]45[/C][C]0.33658[/C][C]0.673161[/C][C]0.66342[/C][/ROW]
[ROW][C]46[/C][C]0.302656[/C][C]0.605312[/C][C]0.697344[/C][/ROW]
[ROW][C]47[/C][C]0.308695[/C][C]0.617389[/C][C]0.691305[/C][/ROW]
[ROW][C]48[/C][C]0.277799[/C][C]0.555597[/C][C]0.722201[/C][/ROW]
[ROW][C]49[/C][C]0.248344[/C][C]0.496688[/C][C]0.751656[/C][/ROW]
[ROW][C]50[/C][C]0.235157[/C][C]0.470314[/C][C]0.764843[/C][/ROW]
[ROW][C]51[/C][C]0.268421[/C][C]0.536841[/C][C]0.731579[/C][/ROW]
[ROW][C]52[/C][C]0.252383[/C][C]0.504766[/C][C]0.747617[/C][/ROW]
[ROW][C]53[/C][C]0.222959[/C][C]0.445917[/C][C]0.777041[/C][/ROW]
[ROW][C]54[/C][C]0.242654[/C][C]0.485307[/C][C]0.757346[/C][/ROW]
[ROW][C]55[/C][C]0.216541[/C][C]0.433081[/C][C]0.783459[/C][/ROW]
[ROW][C]56[/C][C]0.195125[/C][C]0.39025[/C][C]0.804875[/C][/ROW]
[ROW][C]57[/C][C]0.191417[/C][C]0.382834[/C][C]0.808583[/C][/ROW]
[ROW][C]58[/C][C]0.178534[/C][C]0.357067[/C][C]0.821466[/C][/ROW]
[ROW][C]59[/C][C]0.286046[/C][C]0.572092[/C][C]0.713954[/C][/ROW]
[ROW][C]60[/C][C]0.33005[/C][C]0.6601[/C][C]0.66995[/C][/ROW]
[ROW][C]61[/C][C]0.295929[/C][C]0.591858[/C][C]0.704071[/C][/ROW]
[ROW][C]62[/C][C]0.289431[/C][C]0.578862[/C][C]0.710569[/C][/ROW]
[ROW][C]63[/C][C]0.303969[/C][C]0.607939[/C][C]0.696031[/C][/ROW]
[ROW][C]64[/C][C]0.2864[/C][C]0.5728[/C][C]0.7136[/C][/ROW]
[ROW][C]65[/C][C]0.295604[/C][C]0.591207[/C][C]0.704396[/C][/ROW]
[ROW][C]66[/C][C]0.332595[/C][C]0.665191[/C][C]0.667405[/C][/ROW]
[ROW][C]67[/C][C]0.329589[/C][C]0.659177[/C][C]0.670411[/C][/ROW]
[ROW][C]68[/C][C]0.297675[/C][C]0.59535[/C][C]0.702325[/C][/ROW]
[ROW][C]69[/C][C]0.28702[/C][C]0.574041[/C][C]0.71298[/C][/ROW]
[ROW][C]70[/C][C]0.271986[/C][C]0.543972[/C][C]0.728014[/C][/ROW]
[ROW][C]71[/C][C]0.282904[/C][C]0.565808[/C][C]0.717096[/C][/ROW]
[ROW][C]72[/C][C]0.265626[/C][C]0.531251[/C][C]0.734374[/C][/ROW]
[ROW][C]73[/C][C]0.246492[/C][C]0.492984[/C][C]0.753508[/C][/ROW]
[ROW][C]74[/C][C]0.221819[/C][C]0.443638[/C][C]0.778181[/C][/ROW]
[ROW][C]75[/C][C]0.206429[/C][C]0.412857[/C][C]0.793571[/C][/ROW]
[ROW][C]76[/C][C]0.259775[/C][C]0.51955[/C][C]0.740225[/C][/ROW]
[ROW][C]77[/C][C]0.365999[/C][C]0.731998[/C][C]0.634001[/C][/ROW]
[ROW][C]78[/C][C]0.344253[/C][C]0.688506[/C][C]0.655747[/C][/ROW]
[ROW][C]79[/C][C]0.324502[/C][C]0.649003[/C][C]0.675498[/C][/ROW]
[ROW][C]80[/C][C]0.306222[/C][C]0.612445[/C][C]0.693778[/C][/ROW]
[ROW][C]81[/C][C]0.293147[/C][C]0.586294[/C][C]0.706853[/C][/ROW]
[ROW][C]82[/C][C]0.262888[/C][C]0.525776[/C][C]0.737112[/C][/ROW]
[ROW][C]83[/C][C]0.294155[/C][C]0.588311[/C][C]0.705845[/C][/ROW]
[ROW][C]84[/C][C]0.265888[/C][C]0.531776[/C][C]0.734112[/C][/ROW]
[ROW][C]85[/C][C]0.287253[/C][C]0.574506[/C][C]0.712747[/C][/ROW]
[ROW][C]86[/C][C]0.260599[/C][C]0.521199[/C][C]0.739401[/C][/ROW]
[ROW][C]87[/C][C]0.410177[/C][C]0.820354[/C][C]0.589823[/C][/ROW]
[ROW][C]88[/C][C]0.383027[/C][C]0.766053[/C][C]0.616973[/C][/ROW]
[ROW][C]89[/C][C]0.359497[/C][C]0.718995[/C][C]0.640503[/C][/ROW]
[ROW][C]90[/C][C]0.336789[/C][C]0.673578[/C][C]0.663211[/C][/ROW]
[ROW][C]91[/C][C]0.320585[/C][C]0.641171[/C][C]0.679415[/C][/ROW]
[ROW][C]92[/C][C]0.30513[/C][C]0.610261[/C][C]0.69487[/C][/ROW]
[ROW][C]93[/C][C]0.307561[/C][C]0.615122[/C][C]0.692439[/C][/ROW]
[ROW][C]94[/C][C]0.307542[/C][C]0.615085[/C][C]0.692458[/C][/ROW]
[ROW][C]95[/C][C]0.461523[/C][C]0.923047[/C][C]0.538477[/C][/ROW]
[ROW][C]96[/C][C]0.456085[/C][C]0.912169[/C][C]0.543915[/C][/ROW]
[ROW][C]97[/C][C]0.468037[/C][C]0.936075[/C][C]0.531963[/C][/ROW]
[ROW][C]98[/C][C]0.512226[/C][C]0.975548[/C][C]0.487774[/C][/ROW]
[ROW][C]99[/C][C]0.505607[/C][C]0.988785[/C][C]0.494393[/C][/ROW]
[ROW][C]100[/C][C]0.620453[/C][C]0.759094[/C][C]0.379547[/C][/ROW]
[ROW][C]101[/C][C]0.599219[/C][C]0.801562[/C][C]0.400781[/C][/ROW]
[ROW][C]102[/C][C]0.608892[/C][C]0.782216[/C][C]0.391108[/C][/ROW]
[ROW][C]103[/C][C]0.637889[/C][C]0.724223[/C][C]0.362111[/C][/ROW]
[ROW][C]104[/C][C]0.609712[/C][C]0.780576[/C][C]0.390288[/C][/ROW]
[ROW][C]105[/C][C]0.591487[/C][C]0.817026[/C][C]0.408513[/C][/ROW]
[ROW][C]106[/C][C]0.586047[/C][C]0.827905[/C][C]0.413953[/C][/ROW]
[ROW][C]107[/C][C]0.589396[/C][C]0.821207[/C][C]0.410604[/C][/ROW]
[ROW][C]108[/C][C]0.612933[/C][C]0.774134[/C][C]0.387067[/C][/ROW]
[ROW][C]109[/C][C]0.615267[/C][C]0.769466[/C][C]0.384733[/C][/ROW]
[ROW][C]110[/C][C]0.633498[/C][C]0.733004[/C][C]0.366502[/C][/ROW]
[ROW][C]111[/C][C]0.796822[/C][C]0.406355[/C][C]0.203178[/C][/ROW]
[ROW][C]112[/C][C]0.827927[/C][C]0.344145[/C][C]0.172073[/C][/ROW]
[ROW][C]113[/C][C]0.822555[/C][C]0.35489[/C][C]0.177445[/C][/ROW]
[ROW][C]114[/C][C]0.815073[/C][C]0.369855[/C][C]0.184927[/C][/ROW]
[ROW][C]115[/C][C]0.802966[/C][C]0.394068[/C][C]0.197034[/C][/ROW]
[ROW][C]116[/C][C]0.901332[/C][C]0.197337[/C][C]0.0986684[/C][/ROW]
[ROW][C]117[/C][C]0.891007[/C][C]0.217985[/C][C]0.108993[/C][/ROW]
[ROW][C]118[/C][C]0.925135[/C][C]0.14973[/C][C]0.074865[/C][/ROW]
[ROW][C]119[/C][C]0.94114[/C][C]0.117721[/C][C]0.0588604[/C][/ROW]
[ROW][C]120[/C][C]0.934457[/C][C]0.131086[/C][C]0.065543[/C][/ROW]
[ROW][C]121[/C][C]0.937567[/C][C]0.124866[/C][C]0.0624331[/C][/ROW]
[ROW][C]122[/C][C]0.944513[/C][C]0.110974[/C][C]0.0554872[/C][/ROW]
[ROW][C]123[/C][C]0.961399[/C][C]0.0772021[/C][C]0.038601[/C][/ROW]
[ROW][C]124[/C][C]0.958118[/C][C]0.0837634[/C][C]0.0418817[/C][/ROW]
[ROW][C]125[/C][C]0.961743[/C][C]0.0765145[/C][C]0.0382572[/C][/ROW]
[ROW][C]126[/C][C]0.959113[/C][C]0.0817735[/C][C]0.0408867[/C][/ROW]
[ROW][C]127[/C][C]0.972458[/C][C]0.0550838[/C][C]0.0275419[/C][/ROW]
[ROW][C]128[/C][C]0.977703[/C][C]0.0445947[/C][C]0.0222973[/C][/ROW]
[ROW][C]129[/C][C]0.974145[/C][C]0.0517091[/C][C]0.0258546[/C][/ROW]
[ROW][C]130[/C][C]0.971875[/C][C]0.0562504[/C][C]0.0281252[/C][/ROW]
[ROW][C]131[/C][C]0.970169[/C][C]0.0596619[/C][C]0.0298309[/C][/ROW]
[ROW][C]132[/C][C]0.978239[/C][C]0.0435216[/C][C]0.0217608[/C][/ROW]
[ROW][C]133[/C][C]0.976601[/C][C]0.0467979[/C][C]0.023399[/C][/ROW]
[ROW][C]134[/C][C]0.976864[/C][C]0.0462713[/C][C]0.0231356[/C][/ROW]
[ROW][C]135[/C][C]0.974208[/C][C]0.0515832[/C][C]0.0257916[/C][/ROW]
[ROW][C]136[/C][C]0.971575[/C][C]0.0568498[/C][C]0.0284249[/C][/ROW]
[ROW][C]137[/C][C]0.967393[/C][C]0.0652143[/C][C]0.0326071[/C][/ROW]
[ROW][C]138[/C][C]0.961123[/C][C]0.0777546[/C][C]0.0388773[/C][/ROW]
[ROW][C]139[/C][C]0.95529[/C][C]0.0894196[/C][C]0.0447098[/C][/ROW]
[ROW][C]140[/C][C]0.963478[/C][C]0.0730446[/C][C]0.0365223[/C][/ROW]
[ROW][C]141[/C][C]0.965322[/C][C]0.0693562[/C][C]0.0346781[/C][/ROW]
[ROW][C]142[/C][C]0.961143[/C][C]0.0777132[/C][C]0.0388566[/C][/ROW]
[ROW][C]143[/C][C]0.95421[/C][C]0.0915796[/C][C]0.0457898[/C][/ROW]
[ROW][C]144[/C][C]0.946366[/C][C]0.107268[/C][C]0.053634[/C][/ROW]
[ROW][C]145[/C][C]0.969998[/C][C]0.0600047[/C][C]0.0300024[/C][/ROW]
[ROW][C]146[/C][C]0.968373[/C][C]0.063254[/C][C]0.031627[/C][/ROW]
[ROW][C]147[/C][C]0.966335[/C][C]0.0673301[/C][C]0.0336651[/C][/ROW]
[ROW][C]148[/C][C]0.964345[/C][C]0.0713094[/C][C]0.0356547[/C][/ROW]
[ROW][C]149[/C][C]0.960283[/C][C]0.0794334[/C][C]0.0397167[/C][/ROW]
[ROW][C]150[/C][C]0.959711[/C][C]0.0805773[/C][C]0.0402886[/C][/ROW]
[ROW][C]151[/C][C]0.953594[/C][C]0.092812[/C][C]0.046406[/C][/ROW]
[ROW][C]152[/C][C]0.951386[/C][C]0.097228[/C][C]0.048614[/C][/ROW]
[ROW][C]153[/C][C]0.943864[/C][C]0.112273[/C][C]0.0561363[/C][/ROW]
[ROW][C]154[/C][C]0.939865[/C][C]0.12027[/C][C]0.0601351[/C][/ROW]
[ROW][C]155[/C][C]0.936319[/C][C]0.127362[/C][C]0.0636811[/C][/ROW]
[ROW][C]156[/C][C]0.975698[/C][C]0.0486049[/C][C]0.0243024[/C][/ROW]
[ROW][C]157[/C][C]0.973021[/C][C]0.053957[/C][C]0.0269785[/C][/ROW]
[ROW][C]158[/C][C]0.972704[/C][C]0.0545925[/C][C]0.0272963[/C][/ROW]
[ROW][C]159[/C][C]0.968683[/C][C]0.0626344[/C][C]0.0313172[/C][/ROW]
[ROW][C]160[/C][C]0.967759[/C][C]0.064482[/C][C]0.032241[/C][/ROW]
[ROW][C]161[/C][C]0.961144[/C][C]0.0777119[/C][C]0.0388559[/C][/ROW]
[ROW][C]162[/C][C]0.959383[/C][C]0.0812337[/C][C]0.0406169[/C][/ROW]
[ROW][C]163[/C][C]0.95296[/C][C]0.0940808[/C][C]0.0470404[/C][/ROW]
[ROW][C]164[/C][C]0.95031[/C][C]0.0993791[/C][C]0.0496895[/C][/ROW]
[ROW][C]165[/C][C]0.941897[/C][C]0.116206[/C][C]0.0581028[/C][/ROW]
[ROW][C]166[/C][C]0.961415[/C][C]0.0771699[/C][C]0.0385849[/C][/ROW]
[ROW][C]167[/C][C]0.953864[/C][C]0.0922711[/C][C]0.0461356[/C][/ROW]
[ROW][C]168[/C][C]0.951933[/C][C]0.0961346[/C][C]0.0480673[/C][/ROW]
[ROW][C]169[/C][C]0.984656[/C][C]0.0306881[/C][C]0.0153441[/C][/ROW]
[ROW][C]170[/C][C]0.98867[/C][C]0.0226595[/C][C]0.0113298[/C][/ROW]
[ROW][C]171[/C][C]0.985986[/C][C]0.0280287[/C][C]0.0140143[/C][/ROW]
[ROW][C]172[/C][C]0.986026[/C][C]0.0279488[/C][C]0.0139744[/C][/ROW]
[ROW][C]173[/C][C]0.989312[/C][C]0.0213769[/C][C]0.0106885[/C][/ROW]
[ROW][C]174[/C][C]0.986525[/C][C]0.026949[/C][C]0.0134745[/C][/ROW]
[ROW][C]175[/C][C]0.986354[/C][C]0.027293[/C][C]0.0136465[/C][/ROW]
[ROW][C]176[/C][C]0.983769[/C][C]0.0324612[/C][C]0.0162306[/C][/ROW]
[ROW][C]177[/C][C]0.989409[/C][C]0.0211813[/C][C]0.0105907[/C][/ROW]
[ROW][C]178[/C][C]0.987274[/C][C]0.0254525[/C][C]0.0127262[/C][/ROW]
[ROW][C]179[/C][C]0.986205[/C][C]0.0275901[/C][C]0.013795[/C][/ROW]
[ROW][C]180[/C][C]0.985285[/C][C]0.0294292[/C][C]0.0147146[/C][/ROW]
[ROW][C]181[/C][C]0.98862[/C][C]0.0227592[/C][C]0.0113796[/C][/ROW]
[ROW][C]182[/C][C]0.986636[/C][C]0.0267283[/C][C]0.0133641[/C][/ROW]
[ROW][C]183[/C][C]0.985357[/C][C]0.0292861[/C][C]0.0146431[/C][/ROW]
[ROW][C]184[/C][C]0.983088[/C][C]0.0338239[/C][C]0.016912[/C][/ROW]
[ROW][C]185[/C][C]0.988083[/C][C]0.0238341[/C][C]0.0119171[/C][/ROW]
[ROW][C]186[/C][C]0.985215[/C][C]0.02957[/C][C]0.014785[/C][/ROW]
[ROW][C]187[/C][C]0.982[/C][C]0.0359995[/C][C]0.0179997[/C][/ROW]
[ROW][C]188[/C][C]0.97902[/C][C]0.0419596[/C][C]0.0209798[/C][/ROW]
[ROW][C]189[/C][C]0.975353[/C][C]0.0492941[/C][C]0.024647[/C][/ROW]
[ROW][C]190[/C][C]0.973796[/C][C]0.0524089[/C][C]0.0262045[/C][/ROW]
[ROW][C]191[/C][C]0.970608[/C][C]0.0587842[/C][C]0.0293921[/C][/ROW]
[ROW][C]192[/C][C]0.980516[/C][C]0.0389678[/C][C]0.0194839[/C][/ROW]
[ROW][C]193[/C][C]0.976232[/C][C]0.0475368[/C][C]0.0237684[/C][/ROW]
[ROW][C]194[/C][C]0.972828[/C][C]0.0543444[/C][C]0.0271722[/C][/ROW]
[ROW][C]195[/C][C]0.966645[/C][C]0.06671[/C][C]0.033355[/C][/ROW]
[ROW][C]196[/C][C]0.961166[/C][C]0.077668[/C][C]0.038834[/C][/ROW]
[ROW][C]197[/C][C]0.960518[/C][C]0.0789635[/C][C]0.0394818[/C][/ROW]
[ROW][C]198[/C][C]0.956089[/C][C]0.0878218[/C][C]0.0439109[/C][/ROW]
[ROW][C]199[/C][C]0.973474[/C][C]0.0530521[/C][C]0.026526[/C][/ROW]
[ROW][C]200[/C][C]0.96848[/C][C]0.063039[/C][C]0.0315195[/C][/ROW]
[ROW][C]201[/C][C]0.962199[/C][C]0.0756018[/C][C]0.0378009[/C][/ROW]
[ROW][C]202[/C][C]0.964427[/C][C]0.0711463[/C][C]0.0355732[/C][/ROW]
[ROW][C]203[/C][C]0.956985[/C][C]0.0860305[/C][C]0.0430152[/C][/ROW]
[ROW][C]204[/C][C]0.963084[/C][C]0.0738318[/C][C]0.0369159[/C][/ROW]
[ROW][C]205[/C][C]0.964684[/C][C]0.0706311[/C][C]0.0353155[/C][/ROW]
[ROW][C]206[/C][C]0.962974[/C][C]0.0740511[/C][C]0.0370255[/C][/ROW]
[ROW][C]207[/C][C]0.958692[/C][C]0.0826167[/C][C]0.0413084[/C][/ROW]
[ROW][C]208[/C][C]0.953549[/C][C]0.0929025[/C][C]0.0464513[/C][/ROW]
[ROW][C]209[/C][C]0.943201[/C][C]0.113597[/C][C]0.0567985[/C][/ROW]
[ROW][C]210[/C][C]0.934061[/C][C]0.131878[/C][C]0.0659389[/C][/ROW]
[ROW][C]211[/C][C]0.94509[/C][C]0.10982[/C][C]0.0549102[/C][/ROW]
[ROW][C]212[/C][C]0.940367[/C][C]0.119266[/C][C]0.0596332[/C][/ROW]
[ROW][C]213[/C][C]0.933306[/C][C]0.133389[/C][C]0.0666943[/C][/ROW]
[ROW][C]214[/C][C]0.919569[/C][C]0.160861[/C][C]0.0804306[/C][/ROW]
[ROW][C]215[/C][C]0.925175[/C][C]0.14965[/C][C]0.0748248[/C][/ROW]
[ROW][C]216[/C][C]0.924191[/C][C]0.151618[/C][C]0.0758092[/C][/ROW]
[ROW][C]217[/C][C]0.9139[/C][C]0.1722[/C][C]0.0861002[/C][/ROW]
[ROW][C]218[/C][C]0.901904[/C][C]0.196192[/C][C]0.098096[/C][/ROW]
[ROW][C]219[/C][C]0.90548[/C][C]0.18904[/C][C]0.09452[/C][/ROW]
[ROW][C]220[/C][C]0.890491[/C][C]0.219018[/C][C]0.109509[/C][/ROW]
[ROW][C]221[/C][C]0.883832[/C][C]0.232336[/C][C]0.116168[/C][/ROW]
[ROW][C]222[/C][C]0.867333[/C][C]0.265334[/C][C]0.132667[/C][/ROW]
[ROW][C]223[/C][C]0.866459[/C][C]0.267081[/C][C]0.133541[/C][/ROW]
[ROW][C]224[/C][C]0.854396[/C][C]0.291208[/C][C]0.145604[/C][/ROW]
[ROW][C]225[/C][C]0.83891[/C][C]0.322179[/C][C]0.16109[/C][/ROW]
[ROW][C]226[/C][C]0.811398[/C][C]0.377204[/C][C]0.188602[/C][/ROW]
[ROW][C]227[/C][C]0.780682[/C][C]0.438636[/C][C]0.219318[/C][/ROW]
[ROW][C]228[/C][C]0.753007[/C][C]0.493986[/C][C]0.246993[/C][/ROW]
[ROW][C]229[/C][C]0.779078[/C][C]0.441843[/C][C]0.220922[/C][/ROW]
[ROW][C]230[/C][C]0.750414[/C][C]0.499171[/C][C]0.249586[/C][/ROW]
[ROW][C]231[/C][C]0.746889[/C][C]0.506222[/C][C]0.253111[/C][/ROW]
[ROW][C]232[/C][C]0.723[/C][C]0.554[/C][C]0.277[/C][/ROW]
[ROW][C]233[/C][C]0.776151[/C][C]0.447697[/C][C]0.223849[/C][/ROW]
[ROW][C]234[/C][C]0.770005[/C][C]0.459991[/C][C]0.229995[/C][/ROW]
[ROW][C]235[/C][C]0.782457[/C][C]0.435087[/C][C]0.217543[/C][/ROW]
[ROW][C]236[/C][C]0.783075[/C][C]0.433851[/C][C]0.216925[/C][/ROW]
[ROW][C]237[/C][C]0.782251[/C][C]0.435497[/C][C]0.217749[/C][/ROW]
[ROW][C]238[/C][C]0.813827[/C][C]0.372347[/C][C]0.186173[/C][/ROW]
[ROW][C]239[/C][C]0.794045[/C][C]0.41191[/C][C]0.205955[/C][/ROW]
[ROW][C]240[/C][C]0.764353[/C][C]0.471294[/C][C]0.235647[/C][/ROW]
[ROW][C]241[/C][C]0.77776[/C][C]0.44448[/C][C]0.22224[/C][/ROW]
[ROW][C]242[/C][C]0.769358[/C][C]0.461284[/C][C]0.230642[/C][/ROW]
[ROW][C]243[/C][C]0.907885[/C][C]0.184231[/C][C]0.0921153[/C][/ROW]
[ROW][C]244[/C][C]0.894387[/C][C]0.211227[/C][C]0.105613[/C][/ROW]
[ROW][C]245[/C][C]0.903366[/C][C]0.193269[/C][C]0.0966343[/C][/ROW]
[ROW][C]246[/C][C]0.881351[/C][C]0.237297[/C][C]0.118649[/C][/ROW]
[ROW][C]247[/C][C]0.854355[/C][C]0.291291[/C][C]0.145645[/C][/ROW]
[ROW][C]248[/C][C]0.8365[/C][C]0.327[/C][C]0.1635[/C][/ROW]
[ROW][C]249[/C][C]0.81029[/C][C]0.37942[/C][C]0.18971[/C][/ROW]
[ROW][C]250[/C][C]0.800841[/C][C]0.398318[/C][C]0.199159[/C][/ROW]
[ROW][C]251[/C][C]0.816012[/C][C]0.367977[/C][C]0.183988[/C][/ROW]
[ROW][C]252[/C][C]0.880474[/C][C]0.239053[/C][C]0.119526[/C][/ROW]
[ROW][C]253[/C][C]0.850287[/C][C]0.299427[/C][C]0.149713[/C][/ROW]
[ROW][C]254[/C][C]0.821785[/C][C]0.356431[/C][C]0.178215[/C][/ROW]
[ROW][C]255[/C][C]0.780408[/C][C]0.439185[/C][C]0.219592[/C][/ROW]
[ROW][C]256[/C][C]0.739224[/C][C]0.521553[/C][C]0.260776[/C][/ROW]
[ROW][C]257[/C][C]0.686885[/C][C]0.626229[/C][C]0.313115[/C][/ROW]
[ROW][C]258[/C][C]0.640741[/C][C]0.718517[/C][C]0.359259[/C][/ROW]
[ROW][C]259[/C][C]0.628806[/C][C]0.742388[/C][C]0.371194[/C][/ROW]
[ROW][C]260[/C][C]0.613087[/C][C]0.773826[/C][C]0.386913[/C][/ROW]
[ROW][C]261[/C][C]0.548118[/C][C]0.903763[/C][C]0.451882[/C][/ROW]
[ROW][C]262[/C][C]0.539348[/C][C]0.921305[/C][C]0.460652[/C][/ROW]
[ROW][C]263[/C][C]0.593314[/C][C]0.813372[/C][C]0.406686[/C][/ROW]
[ROW][C]264[/C][C]0.525203[/C][C]0.949594[/C][C]0.474797[/C][/ROW]
[ROW][C]265[/C][C]0.52322[/C][C]0.95356[/C][C]0.47678[/C][/ROW]
[ROW][C]266[/C][C]0.990557[/C][C]0.0188853[/C][C]0.00944267[/C][/ROW]
[ROW][C]267[/C][C]0.984534[/C][C]0.0309326[/C][C]0.0154663[/C][/ROW]
[ROW][C]268[/C][C]0.998266[/C][C]0.00346779[/C][C]0.0017339[/C][/ROW]
[ROW][C]269[/C][C]0.998118[/C][C]0.00376439[/C][C]0.00188219[/C][/ROW]
[ROW][C]270[/C][C]0.998003[/C][C]0.00399484[/C][C]0.00199742[/C][/ROW]
[ROW][C]271[/C][C]0.999896[/C][C]0.000208043[/C][C]0.000104021[/C][/ROW]
[ROW][C]272[/C][C]0.999708[/C][C]0.000583374[/C][C]0.000291687[/C][/ROW]
[ROW][C]273[/C][C]0.999309[/C][C]0.00138134[/C][C]0.00069067[/C][/ROW]
[ROW][C]274[/C][C]0.998839[/C][C]0.00232187[/C][C]0.00116093[/C][/ROW]
[ROW][C]275[/C][C]0.99982[/C][C]0.000359932[/C][C]0.000179966[/C][/ROW]
[ROW][C]276[/C][C]0.99929[/C][C]0.00142022[/C][C]0.000710112[/C][/ROW]
[ROW][C]277[/C][C]0.999041[/C][C]0.00191832[/C][C]0.00095916[/C][/ROW]
[ROW][C]278[/C][C]0.993122[/C][C]0.0137552[/C][C]0.00687761[/C][/ROW]
[ROW][C]279[/C][C]0.960608[/C][C]0.0787834[/C][C]0.0393917[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269109&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269109&T=5

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


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.9261620.1476760.0738379
90.8614680.2770650.138532
100.8048680.3902640.195132
110.8620880.2758230.137912
120.8060840.3878310.193916
130.8743270.2513450.125673
140.8186330.3627330.181367
150.7795770.4408470.220423
160.7374350.525130.262565
170.7184310.5631370.281569
180.6583920.6832160.341608
190.5895940.8208120.410406
200.5233990.9532010.476601
210.4544380.9088770.545562
220.52660.94680.4734
230.5662740.8674520.433726
240.5050150.9899690.494985
250.5265660.9468680.473434
260.4683450.9366910.531655
270.4220240.8440490.577976
280.4571160.9142310.542884
290.4938040.9876070.506196
300.4424720.8849440.557528
310.4062740.8125480.593726
320.3790460.7580930.620954
330.3298030.6596060.670197
340.5054260.9891490.494574
350.490440.980880.50956
360.4761570.9523130.523843
370.4259710.8519420.574029
380.379380.758760.62062
390.3433870.6867740.656613
400.3444490.6888980.655551
410.3259110.6518220.674089
420.289520.579040.71048
430.3861250.7722510.613875
440.3484080.6968170.651592
450.336580.6731610.66342
460.3026560.6053120.697344
470.3086950.6173890.691305
480.2777990.5555970.722201
490.2483440.4966880.751656
500.2351570.4703140.764843
510.2684210.5368410.731579
520.2523830.5047660.747617
530.2229590.4459170.777041
540.2426540.4853070.757346
550.2165410.4330810.783459
560.1951250.390250.804875
570.1914170.3828340.808583
580.1785340.3570670.821466
590.2860460.5720920.713954
600.330050.66010.66995
610.2959290.5918580.704071
620.2894310.5788620.710569
630.3039690.6079390.696031
640.28640.57280.7136
650.2956040.5912070.704396
660.3325950.6651910.667405
670.3295890.6591770.670411
680.2976750.595350.702325
690.287020.5740410.71298
700.2719860.5439720.728014
710.2829040.5658080.717096
720.2656260.5312510.734374
730.2464920.4929840.753508
740.2218190.4436380.778181
750.2064290.4128570.793571
760.2597750.519550.740225
770.3659990.7319980.634001
780.3442530.6885060.655747
790.3245020.6490030.675498
800.3062220.6124450.693778
810.2931470.5862940.706853
820.2628880.5257760.737112
830.2941550.5883110.705845
840.2658880.5317760.734112
850.2872530.5745060.712747
860.2605990.5211990.739401
870.4101770.8203540.589823
880.3830270.7660530.616973
890.3594970.7189950.640503
900.3367890.6735780.663211
910.3205850.6411710.679415
920.305130.6102610.69487
930.3075610.6151220.692439
940.3075420.6150850.692458
950.4615230.9230470.538477
960.4560850.9121690.543915
970.4680370.9360750.531963
980.5122260.9755480.487774
990.5056070.9887850.494393
1000.6204530.7590940.379547
1010.5992190.8015620.400781
1020.6088920.7822160.391108
1030.6378890.7242230.362111
1040.6097120.7805760.390288
1050.5914870.8170260.408513
1060.5860470.8279050.413953
1070.5893960.8212070.410604
1080.6129330.7741340.387067
1090.6152670.7694660.384733
1100.6334980.7330040.366502
1110.7968220.4063550.203178
1120.8279270.3441450.172073
1130.8225550.354890.177445
1140.8150730.3698550.184927
1150.8029660.3940680.197034
1160.9013320.1973370.0986684
1170.8910070.2179850.108993
1180.9251350.149730.074865
1190.941140.1177210.0588604
1200.9344570.1310860.065543
1210.9375670.1248660.0624331
1220.9445130.1109740.0554872
1230.9613990.07720210.038601
1240.9581180.08376340.0418817
1250.9617430.07651450.0382572
1260.9591130.08177350.0408867
1270.9724580.05508380.0275419
1280.9777030.04459470.0222973
1290.9741450.05170910.0258546
1300.9718750.05625040.0281252
1310.9701690.05966190.0298309
1320.9782390.04352160.0217608
1330.9766010.04679790.023399
1340.9768640.04627130.0231356
1350.9742080.05158320.0257916
1360.9715750.05684980.0284249
1370.9673930.06521430.0326071
1380.9611230.07775460.0388773
1390.955290.08941960.0447098
1400.9634780.07304460.0365223
1410.9653220.06935620.0346781
1420.9611430.07771320.0388566
1430.954210.09157960.0457898
1440.9463660.1072680.053634
1450.9699980.06000470.0300024
1460.9683730.0632540.031627
1470.9663350.06733010.0336651
1480.9643450.07130940.0356547
1490.9602830.07943340.0397167
1500.9597110.08057730.0402886
1510.9535940.0928120.046406
1520.9513860.0972280.048614
1530.9438640.1122730.0561363
1540.9398650.120270.0601351
1550.9363190.1273620.0636811
1560.9756980.04860490.0243024
1570.9730210.0539570.0269785
1580.9727040.05459250.0272963
1590.9686830.06263440.0313172
1600.9677590.0644820.032241
1610.9611440.07771190.0388559
1620.9593830.08123370.0406169
1630.952960.09408080.0470404
1640.950310.09937910.0496895
1650.9418970.1162060.0581028
1660.9614150.07716990.0385849
1670.9538640.09227110.0461356
1680.9519330.09613460.0480673
1690.9846560.03068810.0153441
1700.988670.02265950.0113298
1710.9859860.02802870.0140143
1720.9860260.02794880.0139744
1730.9893120.02137690.0106885
1740.9865250.0269490.0134745
1750.9863540.0272930.0136465
1760.9837690.03246120.0162306
1770.9894090.02118130.0105907
1780.9872740.02545250.0127262
1790.9862050.02759010.013795
1800.9852850.02942920.0147146
1810.988620.02275920.0113796
1820.9866360.02672830.0133641
1830.9853570.02928610.0146431
1840.9830880.03382390.016912
1850.9880830.02383410.0119171
1860.9852150.029570.014785
1870.9820.03599950.0179997
1880.979020.04195960.0209798
1890.9753530.04929410.024647
1900.9737960.05240890.0262045
1910.9706080.05878420.0293921
1920.9805160.03896780.0194839
1930.9762320.04753680.0237684
1940.9728280.05434440.0271722
1950.9666450.066710.033355
1960.9611660.0776680.038834
1970.9605180.07896350.0394818
1980.9560890.08782180.0439109
1990.9734740.05305210.026526
2000.968480.0630390.0315195
2010.9621990.07560180.0378009
2020.9644270.07114630.0355732
2030.9569850.08603050.0430152
2040.9630840.07383180.0369159
2050.9646840.07063110.0353155
2060.9629740.07405110.0370255
2070.9586920.08261670.0413084
2080.9535490.09290250.0464513
2090.9432010.1135970.0567985
2100.9340610.1318780.0659389
2110.945090.109820.0549102
2120.9403670.1192660.0596332
2130.9333060.1333890.0666943
2140.9195690.1608610.0804306
2150.9251750.149650.0748248
2160.9241910.1516180.0758092
2170.91390.17220.0861002
2180.9019040.1961920.098096
2190.905480.189040.09452
2200.8904910.2190180.109509
2210.8838320.2323360.116168
2220.8673330.2653340.132667
2230.8664590.2670810.133541
2240.8543960.2912080.145604
2250.838910.3221790.16109
2260.8113980.3772040.188602
2270.7806820.4386360.219318
2280.7530070.4939860.246993
2290.7790780.4418430.220922
2300.7504140.4991710.249586
2310.7468890.5062220.253111
2320.7230.5540.277
2330.7761510.4476970.223849
2340.7700050.4599910.229995
2350.7824570.4350870.217543
2360.7830750.4338510.216925
2370.7822510.4354970.217749
2380.8138270.3723470.186173
2390.7940450.411910.205955
2400.7643530.4712940.235647
2410.777760.444480.22224
2420.7693580.4612840.230642
2430.9078850.1842310.0921153
2440.8943870.2112270.105613
2450.9033660.1932690.0966343
2460.8813510.2372970.118649
2470.8543550.2912910.145645
2480.83650.3270.1635
2490.810290.379420.18971
2500.8008410.3983180.199159
2510.8160120.3679770.183988
2520.8804740.2390530.119526
2530.8502870.2994270.149713
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2550.7804080.4391850.219592
2560.7392240.5215530.260776
2570.6868850.6262290.313115
2580.6407410.7185170.359259
2590.6288060.7423880.371194
2600.6130870.7738260.386913
2610.5481180.9037630.451882
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2630.5933140.8133720.406686
2640.5252030.9495940.474797
2650.523220.953560.47678
2660.9905570.01888530.00944267
2670.9845340.03093260.0154663
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2690.9981180.003764390.00188219
2700.9980030.003994840.00199742
2710.9998960.0002080430.000104021
2720.9997080.0005833740.000291687
2730.9993090.001381340.00069067
2740.9988390.002321870.00116093
2750.999820.0003599320.000179966
2760.999290.001420220.000710112
2770.9990410.001918320.00095916
2780.9931220.01375520.00687761
2790.9606080.07878340.0393917






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level100.0367647NOK
5% type I error level410.150735NOK
10% type I error level950.349265NOK

\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 & 10 & 0.0367647 & NOK \tabularnewline
5% type I error level & 41 & 0.150735 & NOK \tabularnewline
10% type I error level & 95 & 0.349265 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269109&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]10[/C][C]0.0367647[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]41[/C][C]0.150735[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]95[/C][C]0.349265[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269109&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269109&T=6

As an alternative you can also use a QR Code:  
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The GUIDs for individual cells are displayed in the table below:

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level100.0367647NOK
5% type I error level410.150735NOK
10% type I error level950.349265NOK


Figures (Output of Computation)

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Input Parameters & R Code

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