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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 computationTue, 09 Dec 2014 17:58:42 +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/09/t1418148031xtp6yue6i4208zd.htm/, Retrieved Thu, 16 May 2024 23:41:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=264786, Retrieved Thu, 16 May 2024 23:41:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact68

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Survey Scores] [Intrinsic Motivat...] [2010-10-12 11:18:40] [b98453cac15ba1066b407e146608df68]
- RMP   [Survey Scores] [] [2014-10-09 22:08:50] [32b17a345b130fdf5cc88718ed94a974]
- RMPD      [Multiple Regression] [paper13] [2014-12-09 17:58:42] [0015a2406d94cac8c1a56a29b9122359] [Current]
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Dataset

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

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 9 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264786&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]9 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264786&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264786&T=0

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


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

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






Multiple Linear Regression - Estimated Regression Equation
F[t] = + 8.20137 + 0.039476A[t] -0.0386215B[t] -0.00305008C[t] + 0.00929444D[t] + 0.0273004E[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
F[t] =  +  8.20137 +  0.039476A[t] -0.0386215B[t] -0.00305008C[t] +  0.00929444D[t] +  0.0273004E[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264786&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]F[t] =  +  8.20137 +  0.039476A[t] -0.0386215B[t] -0.00305008C[t] +  0.00929444D[t] +  0.0273004E[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264786&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264786&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
F[t] = + 8.20137 + 0.039476A[t] -0.0386215B[t] -0.00305008C[t] + 0.00929444D[t] + 0.0273004E[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)8.201371.042677.8668.01702e-144.00851e-14
A0.0394760.05838140.67620.4994880.249744
B-0.03862150.0494486-0.7810.4354370.217719
C-0.003050080.0473904-0.064360.9487290.474364
D0.009294440.004364892.1290.03409670.0170483
E0.02730040.00248223111.26534e-236.32671e-24

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Ordinary Least Squares \tabularnewline
Variable & Parameter & S.D. & T-STATH0: parameter = 0 & 2-tail p-value & 1-tail p-value \tabularnewline
(Intercept) & 8.20137 & 1.04267 & 7.866 & 8.01702e-14 & 4.00851e-14 \tabularnewline
A & 0.039476 & 0.0583814 & 0.6762 & 0.499488 & 0.249744 \tabularnewline
B & -0.0386215 & 0.0494486 & -0.781 & 0.435437 & 0.217719 \tabularnewline
C & -0.00305008 & 0.0473904 & -0.06436 & 0.948729 & 0.474364 \tabularnewline
D & 0.00929444 & 0.00436489 & 2.129 & 0.0340967 & 0.0170483 \tabularnewline
E & 0.0273004 & 0.00248223 & 11 & 1.26534e-23 & 6.32671e-24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264786&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]8.20137[/C][C]1.04267[/C][C]7.866[/C][C]8.01702e-14[/C][C]4.00851e-14[/C][/ROW]
[ROW][C]A[/C][C]0.039476[/C][C]0.0583814[/C][C]0.6762[/C][C]0.499488[/C][C]0.249744[/C][/ROW]
[ROW][C]B[/C][C]-0.0386215[/C][C]0.0494486[/C][C]-0.781[/C][C]0.435437[/C][C]0.217719[/C][/ROW]
[ROW][C]C[/C][C]-0.00305008[/C][C]0.0473904[/C][C]-0.06436[/C][C]0.948729[/C][C]0.474364[/C][/ROW]
[ROW][C]D[/C][C]0.00929444[/C][C]0.00436489[/C][C]2.129[/C][C]0.0340967[/C][C]0.0170483[/C][/ROW]
[ROW][C]E[/C][C]0.0273004[/C][C]0.00248223[/C][C]11[/C][C]1.26534e-23[/C][C]6.32671e-24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264786&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264786&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)8.201371.042677.8668.01702e-144.00851e-14
A0.0394760.05838140.67620.4994880.249744
B-0.03862150.0494486-0.7810.4354370.217719
C-0.003050080.0473904-0.064360.9487290.474364
D0.009294440.004364892.1290.03409670.0170483
E0.02730040.00248223111.26534e-236.32671e-24






Multiple Linear Regression - Regression Statistics
Multiple R0.600334
R-squared0.360401
Adjusted R-squared0.348979
F-TEST (value)31.5548
F-TEST (DF numerator)5
F-TEST (DF denominator)280
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.76048
Sum Squared Residuals2133.67

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.600334 \tabularnewline
R-squared & 0.360401 \tabularnewline
Adjusted R-squared & 0.348979 \tabularnewline
F-TEST (value) & 31.5548 \tabularnewline
F-TEST (DF numerator) & 5 \tabularnewline
F-TEST (DF denominator) & 280 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.76048 \tabularnewline
Sum Squared Residuals & 2133.67 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264786&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.600334[/C][/ROW]
[ROW][C]R-squared[/C][C]0.360401[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.348979[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]31.5548[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]5[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]280[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]2.76048[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]2133.67[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264786&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264786&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 R0.600334
R-squared0.360401
Adjusted R-squared0.348979
F-TEST (value)31.5548
F-TEST (DF numerator)5
F-TEST (DF denominator)280
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.76048
Sum Squared Residuals2133.67






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
112.912.3110.589003
27.411.5037-4.10371
312.211.39820.801815
412.812.12010.679907
57.412.7447-5.3447
66.711.2124-4.51238
712.614.9767-2.37668
814.812.87171.92832
913.312.62390.676091
1011.112.6208-1.52076
118.214.2213-6.02133
1211.412.75-1.34995
136.414.7302-8.33016
1410.611.2555-0.655499
151213.7477-1.7477
166.39.62525-3.32525
1711.311.26620.0337596
1811.913.8036-1.90362
199.312.0484-2.74841
209.612.3019-2.70194
211011.6169-1.61688
226.411.5336-5.13356
2313.812.53641.26361
2410.813.2594-2.4594
2513.812.39451.4055
2611.712.5692-0.869166
2710.915.1862-4.28617
2816.113.46722.63284
2913.411.21332.18672
309.911.3907-1.49074
3111.512.1823-0.682325
328.311.6598-3.35978
3311.713.3227-1.62267
346.111.6376-5.53758
35912.2106-3.21064
369.714.7336-5.03361
3710.812.3093-1.5093
3810.312.5475-2.24752
3910.411.8445-1.4445
4012.712.37120.328751
419.312.1029-2.80288
4211.814.2714-2.47142
435.910.5644-4.66441
4411.413.7981-2.39813
451311.9331.06704
4610.812.9691-2.16913
4712.310.62611.67391
4811.313.2734-1.97343
4911.812.4618-0.661778
507.911.0841-3.18412
5112.710.34552.35447
5212.310.31071.98927
5311.611.7398-0.139761
546.711.1231-4.42305
5510.913.1531-2.25312
5612.112.4013-0.301284
5713.313.4882-0.188158
5810.113.3582-3.2582
595.711.2915-5.59145
6014.312.17772.12232
6189.55458-1.55458
6213.311.78211.51789
639.312.8429-3.54291
6412.511.37941.12059
657.610.7851-3.18514
6615.913.89632.00375
679.211.3724-2.17236
689.110.6711-1.57115
6911.114.0036-2.90361
701314.0362-1.03618
7114.512.73411.76586
7212.211.03941.16061
7312.313.475-1.17504
7411.411.4411-0.0410939
758.811.3331-2.53308
7614.611.19883.40115
777.312.1774-4.87736
7812.613.1424-0.542368
791313.6761-0.676102
8012.611.23351.36649
8113.214.6515-1.45153
829.911.0872-1.1872
837.711.5504-3.85035
8410.510.7354-0.235358
8513.410.66292.73712
8610.911.8154-0.915374
874.310.1395-5.83953
8810.310.8954-0.595394
8911.811.78480.015163
9011.210.69840.501612
9111.410.43590.964079
928.69.99827-1.39827
9313.211.01882.18116
9412.610.37252.22751
955.611.073-5.47297
969.911.6476-1.74755
978.811.5608-2.76083
987.711.4509-3.75092
99910.1946-1.19459
1007.312.1193-4.8193
10111.410.82780.572156
10213.611.2092.39098
1037.910.5618-2.66181
10410.710.9792-0.279176
10510.311.5226-1.22257
1068.310.6169-2.3169
1079.611.1124-1.51241
10814.211.46762.73237
1098.510.2999-1.79991
11013.510.91232.58773
1114.910.8133-5.91333
1126.410.2712-3.87119
1139.610.4442-0.844222
11411.610.61570.984285
11511.110.31070.789301
1164.359.85403-5.50403
11712.712.64490.0551202
11818.114.27923.82077
11917.8514.75763.09237
12016.616.6873-0.0873497
12112.69.987592.61241
12217.122.1252-5.0252
12319.115.59893.5011
12416.118.838-2.738
12513.3510.45922.89084
12618.417.70820.691792
12714.710.96063.73938
12810.614.4013-3.80128
12912.613.5179-0.917858
13016.214.93691.26313
13113.617.4501-3.85006
13218.915.61293.28708
13314.112.21441.88562
13414.511.65172.84826
13516.1518.0564-1.90639
13614.7513.40861.34139
13714.813.89720.902821
13812.4512.4767-0.026652
13912.6514.5633-1.91335
14017.3513.66123.68877
1418.611.9815-3.38154
14218.417.6070.793023
14316.118.1302-2.03023
14411.610.95830.641712
14517.7511.56366.18637
14615.2513.53951.71054
14717.6515.72791.92215
14815.613.53452.06547
14916.3514.95791.39206
15017.6515.08172.56826
15113.612.67090.92912
15211.712.0516-0.351642
15314.3513.33631.01365
15414.7517.6774-2.92741
15518.2516.19292.05714
1569.914.9075-5.00754
1571614.15031.84975
15818.2515.29362.95639
15916.8517.2881-0.438066
16014.612.49032.10966
16113.8514.2289-0.378917
16218.9516.45942.49063
16315.614.4241.17603
16414.8517.4334-2.58337
16511.7512.4888-0.738823
16618.4513.05875.39128
16715.917.4975-1.59752
16817.114.50172.59835
16916.110.80775.29225
17019.914.41675.48328
17110.959.921521.02848
17218.4515.92692.52305
17315.110.05335.04667
1741515.4581-0.458079
17511.3514.0255-2.67553
17615.9514.92381.02617
17718.113.36164.73843
17814.612.65081.94917
17915.415.8134-0.413413
18015.415.8065-0.406458
18117.613.61313.98689
18213.3513.8626-0.51261
18319.116.61022.48977
18415.3512.94582.40421
1857.612.1571-4.55714
18613.414.1735-0.773479
18713.913.47240.42755
18819.117.04172.05833
18915.2513.86841.38162
19012.911.76651.13355
19116.114.00672.09329
19217.3511.99545.35462
19313.1512.07381.07619
19412.159.172022.97798
19512.612.5050.0950428
19610.3511.4797-1.12974
19715.412.59852.8015
1989.611.0706-1.47055
19918.213.07585.12422
20013.612.4521.14796
20114.8514.46950.380526
20214.7516.9426-2.19265
20314.113.73540.364553
20414.911.1243.77603
20516.2512.63053.61946
20619.2516.79992.45011
20713.611.83231.76772
20813.613.20530.394691
20915.6514.84150.808535
21012.7511.73851.01154
21114.611.33913.26092
2129.8513.4982-3.64824
21312.6511.20891.4411
21411.912.3001-0.4001
21519.216.93172.26831
21616.614.31822.28176
21711.210.00921.19075
21815.2512.83692.4131
21911.915.2158-3.31581
22013.215.6182-2.41819
22116.3517.381-1.03097
22212.413.2035-0.803506
22315.8512.96752.88245
22414.3513.680.670044
22518.1514.77793.37211
22611.1511.5763-0.426288
22715.6515.27520.374845
22817.7515.92351.82651
2297.6512.3326-4.68257
23012.3511.47920.870791
23115.611.20654.39349
23219.316.04543.25456
23315.211.59753.60247
23417.113.2473.85302
23515.612.33083.26919
23618.415.28393.11609
23719.0515.03814.01187
23818.5512.82785.72224
23919.117.42751.67249
24013.111.62621.47382
24112.8512.9055-0.0555166
2429.511.3635-1.86354
2434.511.0279-6.52794
24411.8510.4361.414
24513.615.5776-1.97756
24611.713.2848-1.58478
24712.411.17781.22217
24813.3514.8724-1.52244
24911.413.8254-2.4254
25014.911.45873.44132
25119.914.59985.30018
25217.7511.80665.94339
25311.211.5398-0.33984
25414.615.4894-0.88939
25517.616.28271.31731
25614.0512.37681.67325
25716.115.44480.655195
25813.3512.89740.452552
25911.8511.9382-0.088238
26011.9514.2551-2.30512
26114.7514.6170.132989
26215.1512.97942.1706
26313.213.4129-0.212874
26416.8515.43781.41216
2657.859.83815-1.98815
2667.714.2686-6.56857
26712.611.37581.2242
2687.8511.5445-3.69453
26910.9510.19220.757757
27012.3511.93140.418642
2719.9512.2569-2.30688
27214.911.60663.29342
27316.6514.63472.01535
27413.412.94350.456482
27513.9513.64310.306895
27615.711.43144.2686
27716.8512.10574.74425
27810.9510.35660.593424
27915.3511.32344.02662
28012.210.69711.50288
28115.114.21830.88168
28217.7516.56511.18488
28315.212.79482.40522
28414.613.06061.53935
28516.6514.62352.02647
2868.110.593-2.49295

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 12.9 & 12.311 & 0.589003 \tabularnewline
2 & 7.4 & 11.5037 & -4.10371 \tabularnewline
3 & 12.2 & 11.3982 & 0.801815 \tabularnewline
4 & 12.8 & 12.1201 & 0.679907 \tabularnewline
5 & 7.4 & 12.7447 & -5.3447 \tabularnewline
6 & 6.7 & 11.2124 & -4.51238 \tabularnewline
7 & 12.6 & 14.9767 & -2.37668 \tabularnewline
8 & 14.8 & 12.8717 & 1.92832 \tabularnewline
9 & 13.3 & 12.6239 & 0.676091 \tabularnewline
10 & 11.1 & 12.6208 & -1.52076 \tabularnewline
11 & 8.2 & 14.2213 & -6.02133 \tabularnewline
12 & 11.4 & 12.75 & -1.34995 \tabularnewline
13 & 6.4 & 14.7302 & -8.33016 \tabularnewline
14 & 10.6 & 11.2555 & -0.655499 \tabularnewline
15 & 12 & 13.7477 & -1.7477 \tabularnewline
16 & 6.3 & 9.62525 & -3.32525 \tabularnewline
17 & 11.3 & 11.2662 & 0.0337596 \tabularnewline
18 & 11.9 & 13.8036 & -1.90362 \tabularnewline
19 & 9.3 & 12.0484 & -2.74841 \tabularnewline
20 & 9.6 & 12.3019 & -2.70194 \tabularnewline
21 & 10 & 11.6169 & -1.61688 \tabularnewline
22 & 6.4 & 11.5336 & -5.13356 \tabularnewline
23 & 13.8 & 12.5364 & 1.26361 \tabularnewline
24 & 10.8 & 13.2594 & -2.4594 \tabularnewline
25 & 13.8 & 12.3945 & 1.4055 \tabularnewline
26 & 11.7 & 12.5692 & -0.869166 \tabularnewline
27 & 10.9 & 15.1862 & -4.28617 \tabularnewline
28 & 16.1 & 13.4672 & 2.63284 \tabularnewline
29 & 13.4 & 11.2133 & 2.18672 \tabularnewline
30 & 9.9 & 11.3907 & -1.49074 \tabularnewline
31 & 11.5 & 12.1823 & -0.682325 \tabularnewline
32 & 8.3 & 11.6598 & -3.35978 \tabularnewline
33 & 11.7 & 13.3227 & -1.62267 \tabularnewline
34 & 6.1 & 11.6376 & -5.53758 \tabularnewline
35 & 9 & 12.2106 & -3.21064 \tabularnewline
36 & 9.7 & 14.7336 & -5.03361 \tabularnewline
37 & 10.8 & 12.3093 & -1.5093 \tabularnewline
38 & 10.3 & 12.5475 & -2.24752 \tabularnewline
39 & 10.4 & 11.8445 & -1.4445 \tabularnewline
40 & 12.7 & 12.3712 & 0.328751 \tabularnewline
41 & 9.3 & 12.1029 & -2.80288 \tabularnewline
42 & 11.8 & 14.2714 & -2.47142 \tabularnewline
43 & 5.9 & 10.5644 & -4.66441 \tabularnewline
44 & 11.4 & 13.7981 & -2.39813 \tabularnewline
45 & 13 & 11.933 & 1.06704 \tabularnewline
46 & 10.8 & 12.9691 & -2.16913 \tabularnewline
47 & 12.3 & 10.6261 & 1.67391 \tabularnewline
48 & 11.3 & 13.2734 & -1.97343 \tabularnewline
49 & 11.8 & 12.4618 & -0.661778 \tabularnewline
50 & 7.9 & 11.0841 & -3.18412 \tabularnewline
51 & 12.7 & 10.3455 & 2.35447 \tabularnewline
52 & 12.3 & 10.3107 & 1.98927 \tabularnewline
53 & 11.6 & 11.7398 & -0.139761 \tabularnewline
54 & 6.7 & 11.1231 & -4.42305 \tabularnewline
55 & 10.9 & 13.1531 & -2.25312 \tabularnewline
56 & 12.1 & 12.4013 & -0.301284 \tabularnewline
57 & 13.3 & 13.4882 & -0.188158 \tabularnewline
58 & 10.1 & 13.3582 & -3.2582 \tabularnewline
59 & 5.7 & 11.2915 & -5.59145 \tabularnewline
60 & 14.3 & 12.1777 & 2.12232 \tabularnewline
61 & 8 & 9.55458 & -1.55458 \tabularnewline
62 & 13.3 & 11.7821 & 1.51789 \tabularnewline
63 & 9.3 & 12.8429 & -3.54291 \tabularnewline
64 & 12.5 & 11.3794 & 1.12059 \tabularnewline
65 & 7.6 & 10.7851 & -3.18514 \tabularnewline
66 & 15.9 & 13.8963 & 2.00375 \tabularnewline
67 & 9.2 & 11.3724 & -2.17236 \tabularnewline
68 & 9.1 & 10.6711 & -1.57115 \tabularnewline
69 & 11.1 & 14.0036 & -2.90361 \tabularnewline
70 & 13 & 14.0362 & -1.03618 \tabularnewline
71 & 14.5 & 12.7341 & 1.76586 \tabularnewline
72 & 12.2 & 11.0394 & 1.16061 \tabularnewline
73 & 12.3 & 13.475 & -1.17504 \tabularnewline
74 & 11.4 & 11.4411 & -0.0410939 \tabularnewline
75 & 8.8 & 11.3331 & -2.53308 \tabularnewline
76 & 14.6 & 11.1988 & 3.40115 \tabularnewline
77 & 7.3 & 12.1774 & -4.87736 \tabularnewline
78 & 12.6 & 13.1424 & -0.542368 \tabularnewline
79 & 13 & 13.6761 & -0.676102 \tabularnewline
80 & 12.6 & 11.2335 & 1.36649 \tabularnewline
81 & 13.2 & 14.6515 & -1.45153 \tabularnewline
82 & 9.9 & 11.0872 & -1.1872 \tabularnewline
83 & 7.7 & 11.5504 & -3.85035 \tabularnewline
84 & 10.5 & 10.7354 & -0.235358 \tabularnewline
85 & 13.4 & 10.6629 & 2.73712 \tabularnewline
86 & 10.9 & 11.8154 & -0.915374 \tabularnewline
87 & 4.3 & 10.1395 & -5.83953 \tabularnewline
88 & 10.3 & 10.8954 & -0.595394 \tabularnewline
89 & 11.8 & 11.7848 & 0.015163 \tabularnewline
90 & 11.2 & 10.6984 & 0.501612 \tabularnewline
91 & 11.4 & 10.4359 & 0.964079 \tabularnewline
92 & 8.6 & 9.99827 & -1.39827 \tabularnewline
93 & 13.2 & 11.0188 & 2.18116 \tabularnewline
94 & 12.6 & 10.3725 & 2.22751 \tabularnewline
95 & 5.6 & 11.073 & -5.47297 \tabularnewline
96 & 9.9 & 11.6476 & -1.74755 \tabularnewline
97 & 8.8 & 11.5608 & -2.76083 \tabularnewline
98 & 7.7 & 11.4509 & -3.75092 \tabularnewline
99 & 9 & 10.1946 & -1.19459 \tabularnewline
100 & 7.3 & 12.1193 & -4.8193 \tabularnewline
101 & 11.4 & 10.8278 & 0.572156 \tabularnewline
102 & 13.6 & 11.209 & 2.39098 \tabularnewline
103 & 7.9 & 10.5618 & -2.66181 \tabularnewline
104 & 10.7 & 10.9792 & -0.279176 \tabularnewline
105 & 10.3 & 11.5226 & -1.22257 \tabularnewline
106 & 8.3 & 10.6169 & -2.3169 \tabularnewline
107 & 9.6 & 11.1124 & -1.51241 \tabularnewline
108 & 14.2 & 11.4676 & 2.73237 \tabularnewline
109 & 8.5 & 10.2999 & -1.79991 \tabularnewline
110 & 13.5 & 10.9123 & 2.58773 \tabularnewline
111 & 4.9 & 10.8133 & -5.91333 \tabularnewline
112 & 6.4 & 10.2712 & -3.87119 \tabularnewline
113 & 9.6 & 10.4442 & -0.844222 \tabularnewline
114 & 11.6 & 10.6157 & 0.984285 \tabularnewline
115 & 11.1 & 10.3107 & 0.789301 \tabularnewline
116 & 4.35 & 9.85403 & -5.50403 \tabularnewline
117 & 12.7 & 12.6449 & 0.0551202 \tabularnewline
118 & 18.1 & 14.2792 & 3.82077 \tabularnewline
119 & 17.85 & 14.7576 & 3.09237 \tabularnewline
120 & 16.6 & 16.6873 & -0.0873497 \tabularnewline
121 & 12.6 & 9.98759 & 2.61241 \tabularnewline
122 & 17.1 & 22.1252 & -5.0252 \tabularnewline
123 & 19.1 & 15.5989 & 3.5011 \tabularnewline
124 & 16.1 & 18.838 & -2.738 \tabularnewline
125 & 13.35 & 10.4592 & 2.89084 \tabularnewline
126 & 18.4 & 17.7082 & 0.691792 \tabularnewline
127 & 14.7 & 10.9606 & 3.73938 \tabularnewline
128 & 10.6 & 14.4013 & -3.80128 \tabularnewline
129 & 12.6 & 13.5179 & -0.917858 \tabularnewline
130 & 16.2 & 14.9369 & 1.26313 \tabularnewline
131 & 13.6 & 17.4501 & -3.85006 \tabularnewline
132 & 18.9 & 15.6129 & 3.28708 \tabularnewline
133 & 14.1 & 12.2144 & 1.88562 \tabularnewline
134 & 14.5 & 11.6517 & 2.84826 \tabularnewline
135 & 16.15 & 18.0564 & -1.90639 \tabularnewline
136 & 14.75 & 13.4086 & 1.34139 \tabularnewline
137 & 14.8 & 13.8972 & 0.902821 \tabularnewline
138 & 12.45 & 12.4767 & -0.026652 \tabularnewline
139 & 12.65 & 14.5633 & -1.91335 \tabularnewline
140 & 17.35 & 13.6612 & 3.68877 \tabularnewline
141 & 8.6 & 11.9815 & -3.38154 \tabularnewline
142 & 18.4 & 17.607 & 0.793023 \tabularnewline
143 & 16.1 & 18.1302 & -2.03023 \tabularnewline
144 & 11.6 & 10.9583 & 0.641712 \tabularnewline
145 & 17.75 & 11.5636 & 6.18637 \tabularnewline
146 & 15.25 & 13.5395 & 1.71054 \tabularnewline
147 & 17.65 & 15.7279 & 1.92215 \tabularnewline
148 & 15.6 & 13.5345 & 2.06547 \tabularnewline
149 & 16.35 & 14.9579 & 1.39206 \tabularnewline
150 & 17.65 & 15.0817 & 2.56826 \tabularnewline
151 & 13.6 & 12.6709 & 0.92912 \tabularnewline
152 & 11.7 & 12.0516 & -0.351642 \tabularnewline
153 & 14.35 & 13.3363 & 1.01365 \tabularnewline
154 & 14.75 & 17.6774 & -2.92741 \tabularnewline
155 & 18.25 & 16.1929 & 2.05714 \tabularnewline
156 & 9.9 & 14.9075 & -5.00754 \tabularnewline
157 & 16 & 14.1503 & 1.84975 \tabularnewline
158 & 18.25 & 15.2936 & 2.95639 \tabularnewline
159 & 16.85 & 17.2881 & -0.438066 \tabularnewline
160 & 14.6 & 12.4903 & 2.10966 \tabularnewline
161 & 13.85 & 14.2289 & -0.378917 \tabularnewline
162 & 18.95 & 16.4594 & 2.49063 \tabularnewline
163 & 15.6 & 14.424 & 1.17603 \tabularnewline
164 & 14.85 & 17.4334 & -2.58337 \tabularnewline
165 & 11.75 & 12.4888 & -0.738823 \tabularnewline
166 & 18.45 & 13.0587 & 5.39128 \tabularnewline
167 & 15.9 & 17.4975 & -1.59752 \tabularnewline
168 & 17.1 & 14.5017 & 2.59835 \tabularnewline
169 & 16.1 & 10.8077 & 5.29225 \tabularnewline
170 & 19.9 & 14.4167 & 5.48328 \tabularnewline
171 & 10.95 & 9.92152 & 1.02848 \tabularnewline
172 & 18.45 & 15.9269 & 2.52305 \tabularnewline
173 & 15.1 & 10.0533 & 5.04667 \tabularnewline
174 & 15 & 15.4581 & -0.458079 \tabularnewline
175 & 11.35 & 14.0255 & -2.67553 \tabularnewline
176 & 15.95 & 14.9238 & 1.02617 \tabularnewline
177 & 18.1 & 13.3616 & 4.73843 \tabularnewline
178 & 14.6 & 12.6508 & 1.94917 \tabularnewline
179 & 15.4 & 15.8134 & -0.413413 \tabularnewline
180 & 15.4 & 15.8065 & -0.406458 \tabularnewline
181 & 17.6 & 13.6131 & 3.98689 \tabularnewline
182 & 13.35 & 13.8626 & -0.51261 \tabularnewline
183 & 19.1 & 16.6102 & 2.48977 \tabularnewline
184 & 15.35 & 12.9458 & 2.40421 \tabularnewline
185 & 7.6 & 12.1571 & -4.55714 \tabularnewline
186 & 13.4 & 14.1735 & -0.773479 \tabularnewline
187 & 13.9 & 13.4724 & 0.42755 \tabularnewline
188 & 19.1 & 17.0417 & 2.05833 \tabularnewline
189 & 15.25 & 13.8684 & 1.38162 \tabularnewline
190 & 12.9 & 11.7665 & 1.13355 \tabularnewline
191 & 16.1 & 14.0067 & 2.09329 \tabularnewline
192 & 17.35 & 11.9954 & 5.35462 \tabularnewline
193 & 13.15 & 12.0738 & 1.07619 \tabularnewline
194 & 12.15 & 9.17202 & 2.97798 \tabularnewline
195 & 12.6 & 12.505 & 0.0950428 \tabularnewline
196 & 10.35 & 11.4797 & -1.12974 \tabularnewline
197 & 15.4 & 12.5985 & 2.8015 \tabularnewline
198 & 9.6 & 11.0706 & -1.47055 \tabularnewline
199 & 18.2 & 13.0758 & 5.12422 \tabularnewline
200 & 13.6 & 12.452 & 1.14796 \tabularnewline
201 & 14.85 & 14.4695 & 0.380526 \tabularnewline
202 & 14.75 & 16.9426 & -2.19265 \tabularnewline
203 & 14.1 & 13.7354 & 0.364553 \tabularnewline
204 & 14.9 & 11.124 & 3.77603 \tabularnewline
205 & 16.25 & 12.6305 & 3.61946 \tabularnewline
206 & 19.25 & 16.7999 & 2.45011 \tabularnewline
207 & 13.6 & 11.8323 & 1.76772 \tabularnewline
208 & 13.6 & 13.2053 & 0.394691 \tabularnewline
209 & 15.65 & 14.8415 & 0.808535 \tabularnewline
210 & 12.75 & 11.7385 & 1.01154 \tabularnewline
211 & 14.6 & 11.3391 & 3.26092 \tabularnewline
212 & 9.85 & 13.4982 & -3.64824 \tabularnewline
213 & 12.65 & 11.2089 & 1.4411 \tabularnewline
214 & 11.9 & 12.3001 & -0.4001 \tabularnewline
215 & 19.2 & 16.9317 & 2.26831 \tabularnewline
216 & 16.6 & 14.3182 & 2.28176 \tabularnewline
217 & 11.2 & 10.0092 & 1.19075 \tabularnewline
218 & 15.25 & 12.8369 & 2.4131 \tabularnewline
219 & 11.9 & 15.2158 & -3.31581 \tabularnewline
220 & 13.2 & 15.6182 & -2.41819 \tabularnewline
221 & 16.35 & 17.381 & -1.03097 \tabularnewline
222 & 12.4 & 13.2035 & -0.803506 \tabularnewline
223 & 15.85 & 12.9675 & 2.88245 \tabularnewline
224 & 14.35 & 13.68 & 0.670044 \tabularnewline
225 & 18.15 & 14.7779 & 3.37211 \tabularnewline
226 & 11.15 & 11.5763 & -0.426288 \tabularnewline
227 & 15.65 & 15.2752 & 0.374845 \tabularnewline
228 & 17.75 & 15.9235 & 1.82651 \tabularnewline
229 & 7.65 & 12.3326 & -4.68257 \tabularnewline
230 & 12.35 & 11.4792 & 0.870791 \tabularnewline
231 & 15.6 & 11.2065 & 4.39349 \tabularnewline
232 & 19.3 & 16.0454 & 3.25456 \tabularnewline
233 & 15.2 & 11.5975 & 3.60247 \tabularnewline
234 & 17.1 & 13.247 & 3.85302 \tabularnewline
235 & 15.6 & 12.3308 & 3.26919 \tabularnewline
236 & 18.4 & 15.2839 & 3.11609 \tabularnewline
237 & 19.05 & 15.0381 & 4.01187 \tabularnewline
238 & 18.55 & 12.8278 & 5.72224 \tabularnewline
239 & 19.1 & 17.4275 & 1.67249 \tabularnewline
240 & 13.1 & 11.6262 & 1.47382 \tabularnewline
241 & 12.85 & 12.9055 & -0.0555166 \tabularnewline
242 & 9.5 & 11.3635 & -1.86354 \tabularnewline
243 & 4.5 & 11.0279 & -6.52794 \tabularnewline
244 & 11.85 & 10.436 & 1.414 \tabularnewline
245 & 13.6 & 15.5776 & -1.97756 \tabularnewline
246 & 11.7 & 13.2848 & -1.58478 \tabularnewline
247 & 12.4 & 11.1778 & 1.22217 \tabularnewline
248 & 13.35 & 14.8724 & -1.52244 \tabularnewline
249 & 11.4 & 13.8254 & -2.4254 \tabularnewline
250 & 14.9 & 11.4587 & 3.44132 \tabularnewline
251 & 19.9 & 14.5998 & 5.30018 \tabularnewline
252 & 17.75 & 11.8066 & 5.94339 \tabularnewline
253 & 11.2 & 11.5398 & -0.33984 \tabularnewline
254 & 14.6 & 15.4894 & -0.88939 \tabularnewline
255 & 17.6 & 16.2827 & 1.31731 \tabularnewline
256 & 14.05 & 12.3768 & 1.67325 \tabularnewline
257 & 16.1 & 15.4448 & 0.655195 \tabularnewline
258 & 13.35 & 12.8974 & 0.452552 \tabularnewline
259 & 11.85 & 11.9382 & -0.088238 \tabularnewline
260 & 11.95 & 14.2551 & -2.30512 \tabularnewline
261 & 14.75 & 14.617 & 0.132989 \tabularnewline
262 & 15.15 & 12.9794 & 2.1706 \tabularnewline
263 & 13.2 & 13.4129 & -0.212874 \tabularnewline
264 & 16.85 & 15.4378 & 1.41216 \tabularnewline
265 & 7.85 & 9.83815 & -1.98815 \tabularnewline
266 & 7.7 & 14.2686 & -6.56857 \tabularnewline
267 & 12.6 & 11.3758 & 1.2242 \tabularnewline
268 & 7.85 & 11.5445 & -3.69453 \tabularnewline
269 & 10.95 & 10.1922 & 0.757757 \tabularnewline
270 & 12.35 & 11.9314 & 0.418642 \tabularnewline
271 & 9.95 & 12.2569 & -2.30688 \tabularnewline
272 & 14.9 & 11.6066 & 3.29342 \tabularnewline
273 & 16.65 & 14.6347 & 2.01535 \tabularnewline
274 & 13.4 & 12.9435 & 0.456482 \tabularnewline
275 & 13.95 & 13.6431 & 0.306895 \tabularnewline
276 & 15.7 & 11.4314 & 4.2686 \tabularnewline
277 & 16.85 & 12.1057 & 4.74425 \tabularnewline
278 & 10.95 & 10.3566 & 0.593424 \tabularnewline
279 & 15.35 & 11.3234 & 4.02662 \tabularnewline
280 & 12.2 & 10.6971 & 1.50288 \tabularnewline
281 & 15.1 & 14.2183 & 0.88168 \tabularnewline
282 & 17.75 & 16.5651 & 1.18488 \tabularnewline
283 & 15.2 & 12.7948 & 2.40522 \tabularnewline
284 & 14.6 & 13.0606 & 1.53935 \tabularnewline
285 & 16.65 & 14.6235 & 2.02647 \tabularnewline
286 & 8.1 & 10.593 & -2.49295 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264786&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]12.311[/C][C]0.589003[/C][/ROW]
[ROW][C]2[/C][C]7.4[/C][C]11.5037[/C][C]-4.10371[/C][/ROW]
[ROW][C]3[/C][C]12.2[/C][C]11.3982[/C][C]0.801815[/C][/ROW]
[ROW][C]4[/C][C]12.8[/C][C]12.1201[/C][C]0.679907[/C][/ROW]
[ROW][C]5[/C][C]7.4[/C][C]12.7447[/C][C]-5.3447[/C][/ROW]
[ROW][C]6[/C][C]6.7[/C][C]11.2124[/C][C]-4.51238[/C][/ROW]
[ROW][C]7[/C][C]12.6[/C][C]14.9767[/C][C]-2.37668[/C][/ROW]
[ROW][C]8[/C][C]14.8[/C][C]12.8717[/C][C]1.92832[/C][/ROW]
[ROW][C]9[/C][C]13.3[/C][C]12.6239[/C][C]0.676091[/C][/ROW]
[ROW][C]10[/C][C]11.1[/C][C]12.6208[/C][C]-1.52076[/C][/ROW]
[ROW][C]11[/C][C]8.2[/C][C]14.2213[/C][C]-6.02133[/C][/ROW]
[ROW][C]12[/C][C]11.4[/C][C]12.75[/C][C]-1.34995[/C][/ROW]
[ROW][C]13[/C][C]6.4[/C][C]14.7302[/C][C]-8.33016[/C][/ROW]
[ROW][C]14[/C][C]10.6[/C][C]11.2555[/C][C]-0.655499[/C][/ROW]
[ROW][C]15[/C][C]12[/C][C]13.7477[/C][C]-1.7477[/C][/ROW]
[ROW][C]16[/C][C]6.3[/C][C]9.62525[/C][C]-3.32525[/C][/ROW]
[ROW][C]17[/C][C]11.3[/C][C]11.2662[/C][C]0.0337596[/C][/ROW]
[ROW][C]18[/C][C]11.9[/C][C]13.8036[/C][C]-1.90362[/C][/ROW]
[ROW][C]19[/C][C]9.3[/C][C]12.0484[/C][C]-2.74841[/C][/ROW]
[ROW][C]20[/C][C]9.6[/C][C]12.3019[/C][C]-2.70194[/C][/ROW]
[ROW][C]21[/C][C]10[/C][C]11.6169[/C][C]-1.61688[/C][/ROW]
[ROW][C]22[/C][C]6.4[/C][C]11.5336[/C][C]-5.13356[/C][/ROW]
[ROW][C]23[/C][C]13.8[/C][C]12.5364[/C][C]1.26361[/C][/ROW]
[ROW][C]24[/C][C]10.8[/C][C]13.2594[/C][C]-2.4594[/C][/ROW]
[ROW][C]25[/C][C]13.8[/C][C]12.3945[/C][C]1.4055[/C][/ROW]
[ROW][C]26[/C][C]11.7[/C][C]12.5692[/C][C]-0.869166[/C][/ROW]
[ROW][C]27[/C][C]10.9[/C][C]15.1862[/C][C]-4.28617[/C][/ROW]
[ROW][C]28[/C][C]16.1[/C][C]13.4672[/C][C]2.63284[/C][/ROW]
[ROW][C]29[/C][C]13.4[/C][C]11.2133[/C][C]2.18672[/C][/ROW]
[ROW][C]30[/C][C]9.9[/C][C]11.3907[/C][C]-1.49074[/C][/ROW]
[ROW][C]31[/C][C]11.5[/C][C]12.1823[/C][C]-0.682325[/C][/ROW]
[ROW][C]32[/C][C]8.3[/C][C]11.6598[/C][C]-3.35978[/C][/ROW]
[ROW][C]33[/C][C]11.7[/C][C]13.3227[/C][C]-1.62267[/C][/ROW]
[ROW][C]34[/C][C]6.1[/C][C]11.6376[/C][C]-5.53758[/C][/ROW]
[ROW][C]35[/C][C]9[/C][C]12.2106[/C][C]-3.21064[/C][/ROW]
[ROW][C]36[/C][C]9.7[/C][C]14.7336[/C][C]-5.03361[/C][/ROW]
[ROW][C]37[/C][C]10.8[/C][C]12.3093[/C][C]-1.5093[/C][/ROW]
[ROW][C]38[/C][C]10.3[/C][C]12.5475[/C][C]-2.24752[/C][/ROW]
[ROW][C]39[/C][C]10.4[/C][C]11.8445[/C][C]-1.4445[/C][/ROW]
[ROW][C]40[/C][C]12.7[/C][C]12.3712[/C][C]0.328751[/C][/ROW]
[ROW][C]41[/C][C]9.3[/C][C]12.1029[/C][C]-2.80288[/C][/ROW]
[ROW][C]42[/C][C]11.8[/C][C]14.2714[/C][C]-2.47142[/C][/ROW]
[ROW][C]43[/C][C]5.9[/C][C]10.5644[/C][C]-4.66441[/C][/ROW]
[ROW][C]44[/C][C]11.4[/C][C]13.7981[/C][C]-2.39813[/C][/ROW]
[ROW][C]45[/C][C]13[/C][C]11.933[/C][C]1.06704[/C][/ROW]
[ROW][C]46[/C][C]10.8[/C][C]12.9691[/C][C]-2.16913[/C][/ROW]
[ROW][C]47[/C][C]12.3[/C][C]10.6261[/C][C]1.67391[/C][/ROW]
[ROW][C]48[/C][C]11.3[/C][C]13.2734[/C][C]-1.97343[/C][/ROW]
[ROW][C]49[/C][C]11.8[/C][C]12.4618[/C][C]-0.661778[/C][/ROW]
[ROW][C]50[/C][C]7.9[/C][C]11.0841[/C][C]-3.18412[/C][/ROW]
[ROW][C]51[/C][C]12.7[/C][C]10.3455[/C][C]2.35447[/C][/ROW]
[ROW][C]52[/C][C]12.3[/C][C]10.3107[/C][C]1.98927[/C][/ROW]
[ROW][C]53[/C][C]11.6[/C][C]11.7398[/C][C]-0.139761[/C][/ROW]
[ROW][C]54[/C][C]6.7[/C][C]11.1231[/C][C]-4.42305[/C][/ROW]
[ROW][C]55[/C][C]10.9[/C][C]13.1531[/C][C]-2.25312[/C][/ROW]
[ROW][C]56[/C][C]12.1[/C][C]12.4013[/C][C]-0.301284[/C][/ROW]
[ROW][C]57[/C][C]13.3[/C][C]13.4882[/C][C]-0.188158[/C][/ROW]
[ROW][C]58[/C][C]10.1[/C][C]13.3582[/C][C]-3.2582[/C][/ROW]
[ROW][C]59[/C][C]5.7[/C][C]11.2915[/C][C]-5.59145[/C][/ROW]
[ROW][C]60[/C][C]14.3[/C][C]12.1777[/C][C]2.12232[/C][/ROW]
[ROW][C]61[/C][C]8[/C][C]9.55458[/C][C]-1.55458[/C][/ROW]
[ROW][C]62[/C][C]13.3[/C][C]11.7821[/C][C]1.51789[/C][/ROW]
[ROW][C]63[/C][C]9.3[/C][C]12.8429[/C][C]-3.54291[/C][/ROW]
[ROW][C]64[/C][C]12.5[/C][C]11.3794[/C][C]1.12059[/C][/ROW]
[ROW][C]65[/C][C]7.6[/C][C]10.7851[/C][C]-3.18514[/C][/ROW]
[ROW][C]66[/C][C]15.9[/C][C]13.8963[/C][C]2.00375[/C][/ROW]
[ROW][C]67[/C][C]9.2[/C][C]11.3724[/C][C]-2.17236[/C][/ROW]
[ROW][C]68[/C][C]9.1[/C][C]10.6711[/C][C]-1.57115[/C][/ROW]
[ROW][C]69[/C][C]11.1[/C][C]14.0036[/C][C]-2.90361[/C][/ROW]
[ROW][C]70[/C][C]13[/C][C]14.0362[/C][C]-1.03618[/C][/ROW]
[ROW][C]71[/C][C]14.5[/C][C]12.7341[/C][C]1.76586[/C][/ROW]
[ROW][C]72[/C][C]12.2[/C][C]11.0394[/C][C]1.16061[/C][/ROW]
[ROW][C]73[/C][C]12.3[/C][C]13.475[/C][C]-1.17504[/C][/ROW]
[ROW][C]74[/C][C]11.4[/C][C]11.4411[/C][C]-0.0410939[/C][/ROW]
[ROW][C]75[/C][C]8.8[/C][C]11.3331[/C][C]-2.53308[/C][/ROW]
[ROW][C]76[/C][C]14.6[/C][C]11.1988[/C][C]3.40115[/C][/ROW]
[ROW][C]77[/C][C]7.3[/C][C]12.1774[/C][C]-4.87736[/C][/ROW]
[ROW][C]78[/C][C]12.6[/C][C]13.1424[/C][C]-0.542368[/C][/ROW]
[ROW][C]79[/C][C]13[/C][C]13.6761[/C][C]-0.676102[/C][/ROW]
[ROW][C]80[/C][C]12.6[/C][C]11.2335[/C][C]1.36649[/C][/ROW]
[ROW][C]81[/C][C]13.2[/C][C]14.6515[/C][C]-1.45153[/C][/ROW]
[ROW][C]82[/C][C]9.9[/C][C]11.0872[/C][C]-1.1872[/C][/ROW]
[ROW][C]83[/C][C]7.7[/C][C]11.5504[/C][C]-3.85035[/C][/ROW]
[ROW][C]84[/C][C]10.5[/C][C]10.7354[/C][C]-0.235358[/C][/ROW]
[ROW][C]85[/C][C]13.4[/C][C]10.6629[/C][C]2.73712[/C][/ROW]
[ROW][C]86[/C][C]10.9[/C][C]11.8154[/C][C]-0.915374[/C][/ROW]
[ROW][C]87[/C][C]4.3[/C][C]10.1395[/C][C]-5.83953[/C][/ROW]
[ROW][C]88[/C][C]10.3[/C][C]10.8954[/C][C]-0.595394[/C][/ROW]
[ROW][C]89[/C][C]11.8[/C][C]11.7848[/C][C]0.015163[/C][/ROW]
[ROW][C]90[/C][C]11.2[/C][C]10.6984[/C][C]0.501612[/C][/ROW]
[ROW][C]91[/C][C]11.4[/C][C]10.4359[/C][C]0.964079[/C][/ROW]
[ROW][C]92[/C][C]8.6[/C][C]9.99827[/C][C]-1.39827[/C][/ROW]
[ROW][C]93[/C][C]13.2[/C][C]11.0188[/C][C]2.18116[/C][/ROW]
[ROW][C]94[/C][C]12.6[/C][C]10.3725[/C][C]2.22751[/C][/ROW]
[ROW][C]95[/C][C]5.6[/C][C]11.073[/C][C]-5.47297[/C][/ROW]
[ROW][C]96[/C][C]9.9[/C][C]11.6476[/C][C]-1.74755[/C][/ROW]
[ROW][C]97[/C][C]8.8[/C][C]11.5608[/C][C]-2.76083[/C][/ROW]
[ROW][C]98[/C][C]7.7[/C][C]11.4509[/C][C]-3.75092[/C][/ROW]
[ROW][C]99[/C][C]9[/C][C]10.1946[/C][C]-1.19459[/C][/ROW]
[ROW][C]100[/C][C]7.3[/C][C]12.1193[/C][C]-4.8193[/C][/ROW]
[ROW][C]101[/C][C]11.4[/C][C]10.8278[/C][C]0.572156[/C][/ROW]
[ROW][C]102[/C][C]13.6[/C][C]11.209[/C][C]2.39098[/C][/ROW]
[ROW][C]103[/C][C]7.9[/C][C]10.5618[/C][C]-2.66181[/C][/ROW]
[ROW][C]104[/C][C]10.7[/C][C]10.9792[/C][C]-0.279176[/C][/ROW]
[ROW][C]105[/C][C]10.3[/C][C]11.5226[/C][C]-1.22257[/C][/ROW]
[ROW][C]106[/C][C]8.3[/C][C]10.6169[/C][C]-2.3169[/C][/ROW]
[ROW][C]107[/C][C]9.6[/C][C]11.1124[/C][C]-1.51241[/C][/ROW]
[ROW][C]108[/C][C]14.2[/C][C]11.4676[/C][C]2.73237[/C][/ROW]
[ROW][C]109[/C][C]8.5[/C][C]10.2999[/C][C]-1.79991[/C][/ROW]
[ROW][C]110[/C][C]13.5[/C][C]10.9123[/C][C]2.58773[/C][/ROW]
[ROW][C]111[/C][C]4.9[/C][C]10.8133[/C][C]-5.91333[/C][/ROW]
[ROW][C]112[/C][C]6.4[/C][C]10.2712[/C][C]-3.87119[/C][/ROW]
[ROW][C]113[/C][C]9.6[/C][C]10.4442[/C][C]-0.844222[/C][/ROW]
[ROW][C]114[/C][C]11.6[/C][C]10.6157[/C][C]0.984285[/C][/ROW]
[ROW][C]115[/C][C]11.1[/C][C]10.3107[/C][C]0.789301[/C][/ROW]
[ROW][C]116[/C][C]4.35[/C][C]9.85403[/C][C]-5.50403[/C][/ROW]
[ROW][C]117[/C][C]12.7[/C][C]12.6449[/C][C]0.0551202[/C][/ROW]
[ROW][C]118[/C][C]18.1[/C][C]14.2792[/C][C]3.82077[/C][/ROW]
[ROW][C]119[/C][C]17.85[/C][C]14.7576[/C][C]3.09237[/C][/ROW]
[ROW][C]120[/C][C]16.6[/C][C]16.6873[/C][C]-0.0873497[/C][/ROW]
[ROW][C]121[/C][C]12.6[/C][C]9.98759[/C][C]2.61241[/C][/ROW]
[ROW][C]122[/C][C]17.1[/C][C]22.1252[/C][C]-5.0252[/C][/ROW]
[ROW][C]123[/C][C]19.1[/C][C]15.5989[/C][C]3.5011[/C][/ROW]
[ROW][C]124[/C][C]16.1[/C][C]18.838[/C][C]-2.738[/C][/ROW]
[ROW][C]125[/C][C]13.35[/C][C]10.4592[/C][C]2.89084[/C][/ROW]
[ROW][C]126[/C][C]18.4[/C][C]17.7082[/C][C]0.691792[/C][/ROW]
[ROW][C]127[/C][C]14.7[/C][C]10.9606[/C][C]3.73938[/C][/ROW]
[ROW][C]128[/C][C]10.6[/C][C]14.4013[/C][C]-3.80128[/C][/ROW]
[ROW][C]129[/C][C]12.6[/C][C]13.5179[/C][C]-0.917858[/C][/ROW]
[ROW][C]130[/C][C]16.2[/C][C]14.9369[/C][C]1.26313[/C][/ROW]
[ROW][C]131[/C][C]13.6[/C][C]17.4501[/C][C]-3.85006[/C][/ROW]
[ROW][C]132[/C][C]18.9[/C][C]15.6129[/C][C]3.28708[/C][/ROW]
[ROW][C]133[/C][C]14.1[/C][C]12.2144[/C][C]1.88562[/C][/ROW]
[ROW][C]134[/C][C]14.5[/C][C]11.6517[/C][C]2.84826[/C][/ROW]
[ROW][C]135[/C][C]16.15[/C][C]18.0564[/C][C]-1.90639[/C][/ROW]
[ROW][C]136[/C][C]14.75[/C][C]13.4086[/C][C]1.34139[/C][/ROW]
[ROW][C]137[/C][C]14.8[/C][C]13.8972[/C][C]0.902821[/C][/ROW]
[ROW][C]138[/C][C]12.45[/C][C]12.4767[/C][C]-0.026652[/C][/ROW]
[ROW][C]139[/C][C]12.65[/C][C]14.5633[/C][C]-1.91335[/C][/ROW]
[ROW][C]140[/C][C]17.35[/C][C]13.6612[/C][C]3.68877[/C][/ROW]
[ROW][C]141[/C][C]8.6[/C][C]11.9815[/C][C]-3.38154[/C][/ROW]
[ROW][C]142[/C][C]18.4[/C][C]17.607[/C][C]0.793023[/C][/ROW]
[ROW][C]143[/C][C]16.1[/C][C]18.1302[/C][C]-2.03023[/C][/ROW]
[ROW][C]144[/C][C]11.6[/C][C]10.9583[/C][C]0.641712[/C][/ROW]
[ROW][C]145[/C][C]17.75[/C][C]11.5636[/C][C]6.18637[/C][/ROW]
[ROW][C]146[/C][C]15.25[/C][C]13.5395[/C][C]1.71054[/C][/ROW]
[ROW][C]147[/C][C]17.65[/C][C]15.7279[/C][C]1.92215[/C][/ROW]
[ROW][C]148[/C][C]15.6[/C][C]13.5345[/C][C]2.06547[/C][/ROW]
[ROW][C]149[/C][C]16.35[/C][C]14.9579[/C][C]1.39206[/C][/ROW]
[ROW][C]150[/C][C]17.65[/C][C]15.0817[/C][C]2.56826[/C][/ROW]
[ROW][C]151[/C][C]13.6[/C][C]12.6709[/C][C]0.92912[/C][/ROW]
[ROW][C]152[/C][C]11.7[/C][C]12.0516[/C][C]-0.351642[/C][/ROW]
[ROW][C]153[/C][C]14.35[/C][C]13.3363[/C][C]1.01365[/C][/ROW]
[ROW][C]154[/C][C]14.75[/C][C]17.6774[/C][C]-2.92741[/C][/ROW]
[ROW][C]155[/C][C]18.25[/C][C]16.1929[/C][C]2.05714[/C][/ROW]
[ROW][C]156[/C][C]9.9[/C][C]14.9075[/C][C]-5.00754[/C][/ROW]
[ROW][C]157[/C][C]16[/C][C]14.1503[/C][C]1.84975[/C][/ROW]
[ROW][C]158[/C][C]18.25[/C][C]15.2936[/C][C]2.95639[/C][/ROW]
[ROW][C]159[/C][C]16.85[/C][C]17.2881[/C][C]-0.438066[/C][/ROW]
[ROW][C]160[/C][C]14.6[/C][C]12.4903[/C][C]2.10966[/C][/ROW]
[ROW][C]161[/C][C]13.85[/C][C]14.2289[/C][C]-0.378917[/C][/ROW]
[ROW][C]162[/C][C]18.95[/C][C]16.4594[/C][C]2.49063[/C][/ROW]
[ROW][C]163[/C][C]15.6[/C][C]14.424[/C][C]1.17603[/C][/ROW]
[ROW][C]164[/C][C]14.85[/C][C]17.4334[/C][C]-2.58337[/C][/ROW]
[ROW][C]165[/C][C]11.75[/C][C]12.4888[/C][C]-0.738823[/C][/ROW]
[ROW][C]166[/C][C]18.45[/C][C]13.0587[/C][C]5.39128[/C][/ROW]
[ROW][C]167[/C][C]15.9[/C][C]17.4975[/C][C]-1.59752[/C][/ROW]
[ROW][C]168[/C][C]17.1[/C][C]14.5017[/C][C]2.59835[/C][/ROW]
[ROW][C]169[/C][C]16.1[/C][C]10.8077[/C][C]5.29225[/C][/ROW]
[ROW][C]170[/C][C]19.9[/C][C]14.4167[/C][C]5.48328[/C][/ROW]
[ROW][C]171[/C][C]10.95[/C][C]9.92152[/C][C]1.02848[/C][/ROW]
[ROW][C]172[/C][C]18.45[/C][C]15.9269[/C][C]2.52305[/C][/ROW]
[ROW][C]173[/C][C]15.1[/C][C]10.0533[/C][C]5.04667[/C][/ROW]
[ROW][C]174[/C][C]15[/C][C]15.4581[/C][C]-0.458079[/C][/ROW]
[ROW][C]175[/C][C]11.35[/C][C]14.0255[/C][C]-2.67553[/C][/ROW]
[ROW][C]176[/C][C]15.95[/C][C]14.9238[/C][C]1.02617[/C][/ROW]
[ROW][C]177[/C][C]18.1[/C][C]13.3616[/C][C]4.73843[/C][/ROW]
[ROW][C]178[/C][C]14.6[/C][C]12.6508[/C][C]1.94917[/C][/ROW]
[ROW][C]179[/C][C]15.4[/C][C]15.8134[/C][C]-0.413413[/C][/ROW]
[ROW][C]180[/C][C]15.4[/C][C]15.8065[/C][C]-0.406458[/C][/ROW]
[ROW][C]181[/C][C]17.6[/C][C]13.6131[/C][C]3.98689[/C][/ROW]
[ROW][C]182[/C][C]13.35[/C][C]13.8626[/C][C]-0.51261[/C][/ROW]
[ROW][C]183[/C][C]19.1[/C][C]16.6102[/C][C]2.48977[/C][/ROW]
[ROW][C]184[/C][C]15.35[/C][C]12.9458[/C][C]2.40421[/C][/ROW]
[ROW][C]185[/C][C]7.6[/C][C]12.1571[/C][C]-4.55714[/C][/ROW]
[ROW][C]186[/C][C]13.4[/C][C]14.1735[/C][C]-0.773479[/C][/ROW]
[ROW][C]187[/C][C]13.9[/C][C]13.4724[/C][C]0.42755[/C][/ROW]
[ROW][C]188[/C][C]19.1[/C][C]17.0417[/C][C]2.05833[/C][/ROW]
[ROW][C]189[/C][C]15.25[/C][C]13.8684[/C][C]1.38162[/C][/ROW]
[ROW][C]190[/C][C]12.9[/C][C]11.7665[/C][C]1.13355[/C][/ROW]
[ROW][C]191[/C][C]16.1[/C][C]14.0067[/C][C]2.09329[/C][/ROW]
[ROW][C]192[/C][C]17.35[/C][C]11.9954[/C][C]5.35462[/C][/ROW]
[ROW][C]193[/C][C]13.15[/C][C]12.0738[/C][C]1.07619[/C][/ROW]
[ROW][C]194[/C][C]12.15[/C][C]9.17202[/C][C]2.97798[/C][/ROW]
[ROW][C]195[/C][C]12.6[/C][C]12.505[/C][C]0.0950428[/C][/ROW]
[ROW][C]196[/C][C]10.35[/C][C]11.4797[/C][C]-1.12974[/C][/ROW]
[ROW][C]197[/C][C]15.4[/C][C]12.5985[/C][C]2.8015[/C][/ROW]
[ROW][C]198[/C][C]9.6[/C][C]11.0706[/C][C]-1.47055[/C][/ROW]
[ROW][C]199[/C][C]18.2[/C][C]13.0758[/C][C]5.12422[/C][/ROW]
[ROW][C]200[/C][C]13.6[/C][C]12.452[/C][C]1.14796[/C][/ROW]
[ROW][C]201[/C][C]14.85[/C][C]14.4695[/C][C]0.380526[/C][/ROW]
[ROW][C]202[/C][C]14.75[/C][C]16.9426[/C][C]-2.19265[/C][/ROW]
[ROW][C]203[/C][C]14.1[/C][C]13.7354[/C][C]0.364553[/C][/ROW]
[ROW][C]204[/C][C]14.9[/C][C]11.124[/C][C]3.77603[/C][/ROW]
[ROW][C]205[/C][C]16.25[/C][C]12.6305[/C][C]3.61946[/C][/ROW]
[ROW][C]206[/C][C]19.25[/C][C]16.7999[/C][C]2.45011[/C][/ROW]
[ROW][C]207[/C][C]13.6[/C][C]11.8323[/C][C]1.76772[/C][/ROW]
[ROW][C]208[/C][C]13.6[/C][C]13.2053[/C][C]0.394691[/C][/ROW]
[ROW][C]209[/C][C]15.65[/C][C]14.8415[/C][C]0.808535[/C][/ROW]
[ROW][C]210[/C][C]12.75[/C][C]11.7385[/C][C]1.01154[/C][/ROW]
[ROW][C]211[/C][C]14.6[/C][C]11.3391[/C][C]3.26092[/C][/ROW]
[ROW][C]212[/C][C]9.85[/C][C]13.4982[/C][C]-3.64824[/C][/ROW]
[ROW][C]213[/C][C]12.65[/C][C]11.2089[/C][C]1.4411[/C][/ROW]
[ROW][C]214[/C][C]11.9[/C][C]12.3001[/C][C]-0.4001[/C][/ROW]
[ROW][C]215[/C][C]19.2[/C][C]16.9317[/C][C]2.26831[/C][/ROW]
[ROW][C]216[/C][C]16.6[/C][C]14.3182[/C][C]2.28176[/C][/ROW]
[ROW][C]217[/C][C]11.2[/C][C]10.0092[/C][C]1.19075[/C][/ROW]
[ROW][C]218[/C][C]15.25[/C][C]12.8369[/C][C]2.4131[/C][/ROW]
[ROW][C]219[/C][C]11.9[/C][C]15.2158[/C][C]-3.31581[/C][/ROW]
[ROW][C]220[/C][C]13.2[/C][C]15.6182[/C][C]-2.41819[/C][/ROW]
[ROW][C]221[/C][C]16.35[/C][C]17.381[/C][C]-1.03097[/C][/ROW]
[ROW][C]222[/C][C]12.4[/C][C]13.2035[/C][C]-0.803506[/C][/ROW]
[ROW][C]223[/C][C]15.85[/C][C]12.9675[/C][C]2.88245[/C][/ROW]
[ROW][C]224[/C][C]14.35[/C][C]13.68[/C][C]0.670044[/C][/ROW]
[ROW][C]225[/C][C]18.15[/C][C]14.7779[/C][C]3.37211[/C][/ROW]
[ROW][C]226[/C][C]11.15[/C][C]11.5763[/C][C]-0.426288[/C][/ROW]
[ROW][C]227[/C][C]15.65[/C][C]15.2752[/C][C]0.374845[/C][/ROW]
[ROW][C]228[/C][C]17.75[/C][C]15.9235[/C][C]1.82651[/C][/ROW]
[ROW][C]229[/C][C]7.65[/C][C]12.3326[/C][C]-4.68257[/C][/ROW]
[ROW][C]230[/C][C]12.35[/C][C]11.4792[/C][C]0.870791[/C][/ROW]
[ROW][C]231[/C][C]15.6[/C][C]11.2065[/C][C]4.39349[/C][/ROW]
[ROW][C]232[/C][C]19.3[/C][C]16.0454[/C][C]3.25456[/C][/ROW]
[ROW][C]233[/C][C]15.2[/C][C]11.5975[/C][C]3.60247[/C][/ROW]
[ROW][C]234[/C][C]17.1[/C][C]13.247[/C][C]3.85302[/C][/ROW]
[ROW][C]235[/C][C]15.6[/C][C]12.3308[/C][C]3.26919[/C][/ROW]
[ROW][C]236[/C][C]18.4[/C][C]15.2839[/C][C]3.11609[/C][/ROW]
[ROW][C]237[/C][C]19.05[/C][C]15.0381[/C][C]4.01187[/C][/ROW]
[ROW][C]238[/C][C]18.55[/C][C]12.8278[/C][C]5.72224[/C][/ROW]
[ROW][C]239[/C][C]19.1[/C][C]17.4275[/C][C]1.67249[/C][/ROW]
[ROW][C]240[/C][C]13.1[/C][C]11.6262[/C][C]1.47382[/C][/ROW]
[ROW][C]241[/C][C]12.85[/C][C]12.9055[/C][C]-0.0555166[/C][/ROW]
[ROW][C]242[/C][C]9.5[/C][C]11.3635[/C][C]-1.86354[/C][/ROW]
[ROW][C]243[/C][C]4.5[/C][C]11.0279[/C][C]-6.52794[/C][/ROW]
[ROW][C]244[/C][C]11.85[/C][C]10.436[/C][C]1.414[/C][/ROW]
[ROW][C]245[/C][C]13.6[/C][C]15.5776[/C][C]-1.97756[/C][/ROW]
[ROW][C]246[/C][C]11.7[/C][C]13.2848[/C][C]-1.58478[/C][/ROW]
[ROW][C]247[/C][C]12.4[/C][C]11.1778[/C][C]1.22217[/C][/ROW]
[ROW][C]248[/C][C]13.35[/C][C]14.8724[/C][C]-1.52244[/C][/ROW]
[ROW][C]249[/C][C]11.4[/C][C]13.8254[/C][C]-2.4254[/C][/ROW]
[ROW][C]250[/C][C]14.9[/C][C]11.4587[/C][C]3.44132[/C][/ROW]
[ROW][C]251[/C][C]19.9[/C][C]14.5998[/C][C]5.30018[/C][/ROW]
[ROW][C]252[/C][C]17.75[/C][C]11.8066[/C][C]5.94339[/C][/ROW]
[ROW][C]253[/C][C]11.2[/C][C]11.5398[/C][C]-0.33984[/C][/ROW]
[ROW][C]254[/C][C]14.6[/C][C]15.4894[/C][C]-0.88939[/C][/ROW]
[ROW][C]255[/C][C]17.6[/C][C]16.2827[/C][C]1.31731[/C][/ROW]
[ROW][C]256[/C][C]14.05[/C][C]12.3768[/C][C]1.67325[/C][/ROW]
[ROW][C]257[/C][C]16.1[/C][C]15.4448[/C][C]0.655195[/C][/ROW]
[ROW][C]258[/C][C]13.35[/C][C]12.8974[/C][C]0.452552[/C][/ROW]
[ROW][C]259[/C][C]11.85[/C][C]11.9382[/C][C]-0.088238[/C][/ROW]
[ROW][C]260[/C][C]11.95[/C][C]14.2551[/C][C]-2.30512[/C][/ROW]
[ROW][C]261[/C][C]14.75[/C][C]14.617[/C][C]0.132989[/C][/ROW]
[ROW][C]262[/C][C]15.15[/C][C]12.9794[/C][C]2.1706[/C][/ROW]
[ROW][C]263[/C][C]13.2[/C][C]13.4129[/C][C]-0.212874[/C][/ROW]
[ROW][C]264[/C][C]16.85[/C][C]15.4378[/C][C]1.41216[/C][/ROW]
[ROW][C]265[/C][C]7.85[/C][C]9.83815[/C][C]-1.98815[/C][/ROW]
[ROW][C]266[/C][C]7.7[/C][C]14.2686[/C][C]-6.56857[/C][/ROW]
[ROW][C]267[/C][C]12.6[/C][C]11.3758[/C][C]1.2242[/C][/ROW]
[ROW][C]268[/C][C]7.85[/C][C]11.5445[/C][C]-3.69453[/C][/ROW]
[ROW][C]269[/C][C]10.95[/C][C]10.1922[/C][C]0.757757[/C][/ROW]
[ROW][C]270[/C][C]12.35[/C][C]11.9314[/C][C]0.418642[/C][/ROW]
[ROW][C]271[/C][C]9.95[/C][C]12.2569[/C][C]-2.30688[/C][/ROW]
[ROW][C]272[/C][C]14.9[/C][C]11.6066[/C][C]3.29342[/C][/ROW]
[ROW][C]273[/C][C]16.65[/C][C]14.6347[/C][C]2.01535[/C][/ROW]
[ROW][C]274[/C][C]13.4[/C][C]12.9435[/C][C]0.456482[/C][/ROW]
[ROW][C]275[/C][C]13.95[/C][C]13.6431[/C][C]0.306895[/C][/ROW]
[ROW][C]276[/C][C]15.7[/C][C]11.4314[/C][C]4.2686[/C][/ROW]
[ROW][C]277[/C][C]16.85[/C][C]12.1057[/C][C]4.74425[/C][/ROW]
[ROW][C]278[/C][C]10.95[/C][C]10.3566[/C][C]0.593424[/C][/ROW]
[ROW][C]279[/C][C]15.35[/C][C]11.3234[/C][C]4.02662[/C][/ROW]
[ROW][C]280[/C][C]12.2[/C][C]10.6971[/C][C]1.50288[/C][/ROW]
[ROW][C]281[/C][C]15.1[/C][C]14.2183[/C][C]0.88168[/C][/ROW]
[ROW][C]282[/C][C]17.75[/C][C]16.5651[/C][C]1.18488[/C][/ROW]
[ROW][C]283[/C][C]15.2[/C][C]12.7948[/C][C]2.40522[/C][/ROW]
[ROW][C]284[/C][C]14.6[/C][C]13.0606[/C][C]1.53935[/C][/ROW]
[ROW][C]285[/C][C]16.65[/C][C]14.6235[/C][C]2.02647[/C][/ROW]
[ROW][C]286[/C][C]8.1[/C][C]10.593[/C][C]-2.49295[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264786&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264786&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
112.912.3110.589003
27.411.5037-4.10371
312.211.39820.801815
412.812.12010.679907
57.412.7447-5.3447
66.711.2124-4.51238
712.614.9767-2.37668
814.812.87171.92832
913.312.62390.676091
1011.112.6208-1.52076
118.214.2213-6.02133
1211.412.75-1.34995
136.414.7302-8.33016
1410.611.2555-0.655499
151213.7477-1.7477
166.39.62525-3.32525
1711.311.26620.0337596
1811.913.8036-1.90362
199.312.0484-2.74841
209.612.3019-2.70194
211011.6169-1.61688
226.411.5336-5.13356
2313.812.53641.26361
2410.813.2594-2.4594
2513.812.39451.4055
2611.712.5692-0.869166
2710.915.1862-4.28617
2816.113.46722.63284
2913.411.21332.18672
309.911.3907-1.49074
3111.512.1823-0.682325
328.311.6598-3.35978
3311.713.3227-1.62267
346.111.6376-5.53758
35912.2106-3.21064
369.714.7336-5.03361
3710.812.3093-1.5093
3810.312.5475-2.24752
3910.411.8445-1.4445
4012.712.37120.328751
419.312.1029-2.80288
4211.814.2714-2.47142
435.910.5644-4.66441
4411.413.7981-2.39813
451311.9331.06704
4610.812.9691-2.16913
4712.310.62611.67391
4811.313.2734-1.97343
4911.812.4618-0.661778
507.911.0841-3.18412
5112.710.34552.35447
5212.310.31071.98927
5311.611.7398-0.139761
546.711.1231-4.42305
5510.913.1531-2.25312
5612.112.4013-0.301284
5713.313.4882-0.188158
5810.113.3582-3.2582
595.711.2915-5.59145
6014.312.17772.12232
6189.55458-1.55458
6213.311.78211.51789
639.312.8429-3.54291
6412.511.37941.12059
657.610.7851-3.18514
6615.913.89632.00375
679.211.3724-2.17236
689.110.6711-1.57115
6911.114.0036-2.90361
701314.0362-1.03618
7114.512.73411.76586
7212.211.03941.16061
7312.313.475-1.17504
7411.411.4411-0.0410939
758.811.3331-2.53308
7614.611.19883.40115
777.312.1774-4.87736
7812.613.1424-0.542368
791313.6761-0.676102
8012.611.23351.36649
8113.214.6515-1.45153
829.911.0872-1.1872
837.711.5504-3.85035
8410.510.7354-0.235358
8513.410.66292.73712
8610.911.8154-0.915374
874.310.1395-5.83953
8810.310.8954-0.595394
8911.811.78480.015163
9011.210.69840.501612
9111.410.43590.964079
928.69.99827-1.39827
9313.211.01882.18116
9412.610.37252.22751
955.611.073-5.47297
969.911.6476-1.74755
978.811.5608-2.76083
987.711.4509-3.75092
99910.1946-1.19459
1007.312.1193-4.8193
10111.410.82780.572156
10213.611.2092.39098
1037.910.5618-2.66181
10410.710.9792-0.279176
10510.311.5226-1.22257
1068.310.6169-2.3169
1079.611.1124-1.51241
10814.211.46762.73237
1098.510.2999-1.79991
11013.510.91232.58773
1114.910.8133-5.91333
1126.410.2712-3.87119
1139.610.4442-0.844222
11411.610.61570.984285
11511.110.31070.789301
1164.359.85403-5.50403
11712.712.64490.0551202
11818.114.27923.82077
11917.8514.75763.09237
12016.616.6873-0.0873497
12112.69.987592.61241
12217.122.1252-5.0252
12319.115.59893.5011
12416.118.838-2.738
12513.3510.45922.89084
12618.417.70820.691792
12714.710.96063.73938
12810.614.4013-3.80128
12912.613.5179-0.917858
13016.214.93691.26313
13113.617.4501-3.85006
13218.915.61293.28708
13314.112.21441.88562
13414.511.65172.84826
13516.1518.0564-1.90639
13614.7513.40861.34139
13714.813.89720.902821
13812.4512.4767-0.026652
13912.6514.5633-1.91335
14017.3513.66123.68877
1418.611.9815-3.38154
14218.417.6070.793023
14316.118.1302-2.03023
14411.610.95830.641712
14517.7511.56366.18637
14615.2513.53951.71054
14717.6515.72791.92215
14815.613.53452.06547
14916.3514.95791.39206
15017.6515.08172.56826
15113.612.67090.92912
15211.712.0516-0.351642
15314.3513.33631.01365
15414.7517.6774-2.92741
15518.2516.19292.05714
1569.914.9075-5.00754
1571614.15031.84975
15818.2515.29362.95639
15916.8517.2881-0.438066
16014.612.49032.10966
16113.8514.2289-0.378917
16218.9516.45942.49063
16315.614.4241.17603
16414.8517.4334-2.58337
16511.7512.4888-0.738823
16618.4513.05875.39128
16715.917.4975-1.59752
16817.114.50172.59835
16916.110.80775.29225
17019.914.41675.48328
17110.959.921521.02848
17218.4515.92692.52305
17315.110.05335.04667
1741515.4581-0.458079
17511.3514.0255-2.67553
17615.9514.92381.02617
17718.113.36164.73843
17814.612.65081.94917
17915.415.8134-0.413413
18015.415.8065-0.406458
18117.613.61313.98689
18213.3513.8626-0.51261
18319.116.61022.48977
18415.3512.94582.40421
1857.612.1571-4.55714
18613.414.1735-0.773479
18713.913.47240.42755
18819.117.04172.05833
18915.2513.86841.38162
19012.911.76651.13355
19116.114.00672.09329
19217.3511.99545.35462
19313.1512.07381.07619
19412.159.172022.97798
19512.612.5050.0950428
19610.3511.4797-1.12974
19715.412.59852.8015
1989.611.0706-1.47055
19918.213.07585.12422
20013.612.4521.14796
20114.8514.46950.380526
20214.7516.9426-2.19265
20314.113.73540.364553
20414.911.1243.77603
20516.2512.63053.61946
20619.2516.79992.45011
20713.611.83231.76772
20813.613.20530.394691
20915.6514.84150.808535
21012.7511.73851.01154
21114.611.33913.26092
2129.8513.4982-3.64824
21312.6511.20891.4411
21411.912.3001-0.4001
21519.216.93172.26831
21616.614.31822.28176
21711.210.00921.19075
21815.2512.83692.4131
21911.915.2158-3.31581
22013.215.6182-2.41819
22116.3517.381-1.03097
22212.413.2035-0.803506
22315.8512.96752.88245
22414.3513.680.670044
22518.1514.77793.37211
22611.1511.5763-0.426288
22715.6515.27520.374845
22817.7515.92351.82651
2297.6512.3326-4.68257
23012.3511.47920.870791
23115.611.20654.39349
23219.316.04543.25456
23315.211.59753.60247
23417.113.2473.85302
23515.612.33083.26919
23618.415.28393.11609
23719.0515.03814.01187
23818.5512.82785.72224
23919.117.42751.67249
24013.111.62621.47382
24112.8512.9055-0.0555166
2429.511.3635-1.86354
2434.511.0279-6.52794
24411.8510.4361.414
24513.615.5776-1.97756
24611.713.2848-1.58478
24712.411.17781.22217
24813.3514.8724-1.52244
24911.413.8254-2.4254
25014.911.45873.44132
25119.914.59985.30018
25217.7511.80665.94339
25311.211.5398-0.33984
25414.615.4894-0.88939
25517.616.28271.31731
25614.0512.37681.67325
25716.115.44480.655195
25813.3512.89740.452552
25911.8511.9382-0.088238
26011.9514.2551-2.30512
26114.7514.6170.132989
26215.1512.97942.1706
26313.213.4129-0.212874
26416.8515.43781.41216
2657.859.83815-1.98815
2667.714.2686-6.56857
26712.611.37581.2242
2687.8511.5445-3.69453
26910.9510.19220.757757
27012.3511.93140.418642
2719.9512.2569-2.30688
27214.911.60663.29342
27316.6514.63472.01535
27413.412.94350.456482
27513.9513.64310.306895
27615.711.43144.2686
27716.8512.10574.74425
27810.9510.35660.593424
27915.3511.32344.02662
28012.210.69711.50288
28115.114.21830.88168
28217.7516.56511.18488
28315.212.79482.40522
28414.613.06061.53935
28516.6514.62352.02647
2868.110.593-2.49295






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.06396810.1279360.936032
100.01973340.03946680.980267
110.7261850.547630.273815
120.6302680.7394640.369732
130.8099360.3801290.190064
140.7583030.4833940.241697
150.7058640.5882730.294136
160.6287450.7425090.371255
170.6021590.7956820.397841
180.5303920.9392160.469608
190.4592790.9185590.540721
200.401250.8024990.59875
210.3565210.7130420.643479
220.3699730.7399470.630027
230.398560.797120.60144
240.3438080.6876150.656192
250.3404790.6809580.659521
260.3337560.6675120.666244
270.3076710.6153420.692329
280.3387030.6774050.661297
290.3606710.7213410.639329
300.309510.6190210.69049
310.2754550.5509090.724545
320.236030.4720590.76397
330.1969180.3938360.803082
340.1820780.3641560.817922
350.1702690.3405380.829731
360.3618180.7236350.638182
370.3223280.6446560.677672
380.281450.56290.71855
390.2411360.4822720.758864
400.2239250.4478510.776075
410.2076460.4152910.792354
420.1834340.3668680.816566
430.2795940.5591880.720406
440.2457610.4915210.754239
450.2426160.4852310.757384
460.2304560.4609120.769544
470.2055980.4111960.794402
480.1814650.362930.818535
490.1648290.3296570.835171
500.1612750.322550.838725
510.1755210.3510430.824479
520.1975460.3950930.802454
530.1771640.3543280.822836
540.2155090.4310180.784491
550.191470.3829410.80853
560.177350.35470.82265
570.1776670.3553340.822333
580.160570.3211410.83943
590.2252150.4504310.774785
600.2471420.4942840.752858
610.229540.4590810.77046
620.2491730.4983460.750827
630.243540.4870790.75646
640.2292910.4585820.770709
650.2346980.4693950.765302
660.2771020.5542050.722898
670.28080.56160.7192
680.2533850.506770.746615
690.2457050.4914090.754295
700.2352060.4704120.764794
710.2363580.4727150.763642
720.219140.438280.78086
730.2003190.4006380.799681
740.1754760.3509530.824524
750.1592460.3184930.840754
760.2095050.4190090.790495
770.2802560.5605130.719744
780.2576020.5152050.742398
790.2419940.4839870.758006
800.2245550.4491090.775445
810.222970.445940.77703
820.1971790.3943580.802821
830.2220660.4441320.777934
840.1962390.3924780.803761
850.2033040.4066080.796696
860.182570.3651390.81743
870.3319790.6639590.668021
880.3072880.6145760.692712
890.2868630.5737270.713137
900.2609320.5218640.739068
910.2518080.5036160.748192
920.2346050.469210.765395
930.2334020.4668040.766598
940.2372490.4744990.762751
950.3748910.7497820.625109
960.3727530.7455060.627247
970.3666370.7332740.633363
980.3984860.7969720.601514
990.3911290.7822580.608871
1000.4880250.976050.511975
1010.461860.923720.53814
1020.4839530.9679060.516047
1030.5137090.9725820.486291
1040.485010.970020.51499
1050.4694070.9388140.530593
1060.4906130.9812270.509387
1070.502730.9945390.49727
1080.5463810.9072380.453619
1090.5541740.8916530.445826
1100.5492760.9014480.450724
1110.7470710.5058590.252929
1120.7894320.4211360.210568
1130.7820110.4359770.217989
1140.7754480.4491050.224552
1150.7625580.4748840.237442
1160.8709080.2581850.129092
1170.8624950.275010.137505
1180.9128440.1743130.0871564
1190.9338690.1322620.0661308
1200.9253920.1492160.0746079
1210.9271680.1456630.0728316
1220.9334620.1330760.0665379
1230.9522090.09558130.0477907
1240.9470420.1059170.0529584
1250.9508850.09823060.0491153
1260.9471520.1056970.0528483
1270.9619340.0761320.038066
1280.9668550.06629040.0331452
1290.9624790.07504290.0375214
1300.9597220.08055590.0402779
1310.9599660.08006730.0400336
1320.9700390.05992170.0299608
1330.9677830.06443440.0322172
1340.9689550.06208990.0310449
1350.9665380.06692410.0334621
1360.9625750.07485040.0374252
1370.9580140.08397240.0419862
1380.9499170.1001650.0500827
1390.9433870.1132250.0566126
1400.9543140.09137150.0456857
1410.9549920.09001670.0450083
1420.9502110.09957890.0497894
1430.9415610.1168790.0584393
1440.9321370.1357270.0678635
1450.9637190.07256110.0362806
1460.9615920.07681650.0384082
1470.9619520.07609620.0380481
1480.9590980.08180430.0409022
1490.9539890.09202270.0460114
1500.9538270.0923460.046173
1510.9474170.1051660.0525828
1520.9478820.1042360.0521182
1530.9398530.1202940.0601468
1540.9385450.1229090.0614546
1550.9346190.1307620.0653809
1560.9756250.04874970.0243749
1570.9732750.05345090.0267254
1580.9740650.05186940.0259347
1590.9699590.06008180.0300409
1600.9687080.06258310.0312915
1610.9624230.07515380.0375769
1620.9605950.07881050.0394053
1630.9543020.09139680.0456984
1640.9509870.09802640.0490132
1650.9429520.1140960.0570481
1660.9656630.06867320.0343366
1670.9589510.08209720.0410486
1680.9561510.08769840.0438492
1690.9877990.02440290.0122014
1700.993240.01351940.00675971
1710.9917850.01642910.00821457
1720.9918640.01627180.00813591
1730.994840.01031960.00515981
1740.9933860.01322740.00661368
1750.9931480.01370460.00685229
1760.9916490.0167030.00835149
1770.9945060.01098740.0054937
1780.9935180.01296470.00648233
1790.9928110.01437710.00718856
1800.992360.01528090.00764044
1810.9940490.01190160.00595078
1820.9928070.01438640.00719318
1830.9919980.0160040.00800202
1840.990720.01856040.00928019
1850.9940110.01197720.00598858
1860.9923450.01531060.00765532
1870.9903920.01921590.00960793
1880.9893520.02129560.0106478
1890.9870720.02585570.0129279
1900.9854650.02907090.0145354
1910.983140.03371930.0168596
1920.9897570.0204850.0102425
1930.9872160.0255670.0127835
1940.9854380.02912380.0145619
1950.9821930.03561430.0178071
1960.9788920.04221550.0211078
1970.9774310.04513810.0225691
1980.9773740.0452520.022626
1990.9855140.02897190.0144859
2000.981910.03617920.0180896
2010.9784260.04314840.0215742
2020.9792490.04150170.0207508
2030.9740670.05186540.0259327
2040.9773870.04522550.0226128
2050.9783910.04321840.0216092
2060.9762030.04759490.0237975
2070.973920.05215970.0260798
2080.9707830.05843380.0292169
2090.9645310.07093880.0354694
2100.9575860.08482770.0424138
2110.9573620.08527640.0426382
2120.955160.08968040.0448402
2130.9489140.1021710.0510856
2140.9373830.1252340.0626172
2150.9312180.1375630.0687817
2160.9292480.1415050.0707523
2170.9212690.1574620.0787311
2180.9085440.1829120.0914558
2190.9207080.1585840.0792918
2200.9074270.1851470.0925735
2210.9019020.1961960.0980978
2220.8905060.2189870.109494
2230.8868890.2262220.113111
2240.8866590.2266830.113341
2250.8729580.2540830.127042
2260.8486780.3026450.151322
2270.8227960.3544070.177204
2280.7961280.4077440.203872
2290.8323290.3353430.167671
2300.8047470.3905070.195253
2310.8080310.3839380.191969
2320.7886020.4227950.211398
2330.8527460.2945080.147254
2340.8438130.3123740.156187
2350.8495580.3008830.150442
2360.8502130.2995750.149787
2370.855550.28890.14445
2380.8713210.2573580.128679
2390.851410.2971810.14859
2400.8256470.3487070.174353
2410.830310.339380.16969
2420.8108780.3782430.189122
2430.9304550.1390910.0695454
2440.9219040.1561920.0780958
2450.9304910.1390180.0695091
2460.9112680.1774640.088732
2470.8882630.2234740.111737
2480.8730670.2538670.126933
2490.8500380.2999240.149962
2500.8382490.3235030.161751
2510.8688490.2623030.131151
2520.9295920.1408160.0704079
2530.9073860.1852280.092614
2540.8883530.2232930.111647
2550.8580320.2839360.141968
2560.8210760.3578470.178924
2570.7803010.4393980.219699
2580.7305980.5388040.269402
2590.6996770.6006470.300323
2600.6481430.7037140.351857
2610.5826130.8347740.417387
2620.7382580.5234850.261742
2630.6934210.6131580.306579
2640.6306920.7386160.369308
2650.5813360.8373290.418664
2660.9939280.01214420.00607209
2670.9897370.02052620.0102631
2680.9999160.0001671098.35544e-05
2690.9999647.29792e-053.64896e-05
2700.9999340.0001323816.61905e-05
2710.9999931.40954e-057.04769e-06
2720.9999686.40326e-053.20163e-05
2730.9999340.0001319936.59963e-05
2740.9999270.0001467577.33787e-05
2750.9998620.0002762260.000138113
2760.9989950.002010020.00100501
2770.9948330.01033340.00516669

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
9 & 0.0639681 & 0.127936 & 0.936032 \tabularnewline
10 & 0.0197334 & 0.0394668 & 0.980267 \tabularnewline
11 & 0.726185 & 0.54763 & 0.273815 \tabularnewline
12 & 0.630268 & 0.739464 & 0.369732 \tabularnewline
13 & 0.809936 & 0.380129 & 0.190064 \tabularnewline
14 & 0.758303 & 0.483394 & 0.241697 \tabularnewline
15 & 0.705864 & 0.588273 & 0.294136 \tabularnewline
16 & 0.628745 & 0.742509 & 0.371255 \tabularnewline
17 & 0.602159 & 0.795682 & 0.397841 \tabularnewline
18 & 0.530392 & 0.939216 & 0.469608 \tabularnewline
19 & 0.459279 & 0.918559 & 0.540721 \tabularnewline
20 & 0.40125 & 0.802499 & 0.59875 \tabularnewline
21 & 0.356521 & 0.713042 & 0.643479 \tabularnewline
22 & 0.369973 & 0.739947 & 0.630027 \tabularnewline
23 & 0.39856 & 0.79712 & 0.60144 \tabularnewline
24 & 0.343808 & 0.687615 & 0.656192 \tabularnewline
25 & 0.340479 & 0.680958 & 0.659521 \tabularnewline
26 & 0.333756 & 0.667512 & 0.666244 \tabularnewline
27 & 0.307671 & 0.615342 & 0.692329 \tabularnewline
28 & 0.338703 & 0.677405 & 0.661297 \tabularnewline
29 & 0.360671 & 0.721341 & 0.639329 \tabularnewline
30 & 0.30951 & 0.619021 & 0.69049 \tabularnewline
31 & 0.275455 & 0.550909 & 0.724545 \tabularnewline
32 & 0.23603 & 0.472059 & 0.76397 \tabularnewline
33 & 0.196918 & 0.393836 & 0.803082 \tabularnewline
34 & 0.182078 & 0.364156 & 0.817922 \tabularnewline
35 & 0.170269 & 0.340538 & 0.829731 \tabularnewline
36 & 0.361818 & 0.723635 & 0.638182 \tabularnewline
37 & 0.322328 & 0.644656 & 0.677672 \tabularnewline
38 & 0.28145 & 0.5629 & 0.71855 \tabularnewline
39 & 0.241136 & 0.482272 & 0.758864 \tabularnewline
40 & 0.223925 & 0.447851 & 0.776075 \tabularnewline
41 & 0.207646 & 0.415291 & 0.792354 \tabularnewline
42 & 0.183434 & 0.366868 & 0.816566 \tabularnewline
43 & 0.279594 & 0.559188 & 0.720406 \tabularnewline
44 & 0.245761 & 0.491521 & 0.754239 \tabularnewline
45 & 0.242616 & 0.485231 & 0.757384 \tabularnewline
46 & 0.230456 & 0.460912 & 0.769544 \tabularnewline
47 & 0.205598 & 0.411196 & 0.794402 \tabularnewline
48 & 0.181465 & 0.36293 & 0.818535 \tabularnewline
49 & 0.164829 & 0.329657 & 0.835171 \tabularnewline
50 & 0.161275 & 0.32255 & 0.838725 \tabularnewline
51 & 0.175521 & 0.351043 & 0.824479 \tabularnewline
52 & 0.197546 & 0.395093 & 0.802454 \tabularnewline
53 & 0.177164 & 0.354328 & 0.822836 \tabularnewline
54 & 0.215509 & 0.431018 & 0.784491 \tabularnewline
55 & 0.19147 & 0.382941 & 0.80853 \tabularnewline
56 & 0.17735 & 0.3547 & 0.82265 \tabularnewline
57 & 0.177667 & 0.355334 & 0.822333 \tabularnewline
58 & 0.16057 & 0.321141 & 0.83943 \tabularnewline
59 & 0.225215 & 0.450431 & 0.774785 \tabularnewline
60 & 0.247142 & 0.494284 & 0.752858 \tabularnewline
61 & 0.22954 & 0.459081 & 0.77046 \tabularnewline
62 & 0.249173 & 0.498346 & 0.750827 \tabularnewline
63 & 0.24354 & 0.487079 & 0.75646 \tabularnewline
64 & 0.229291 & 0.458582 & 0.770709 \tabularnewline
65 & 0.234698 & 0.469395 & 0.765302 \tabularnewline
66 & 0.277102 & 0.554205 & 0.722898 \tabularnewline
67 & 0.2808 & 0.5616 & 0.7192 \tabularnewline
68 & 0.253385 & 0.50677 & 0.746615 \tabularnewline
69 & 0.245705 & 0.491409 & 0.754295 \tabularnewline
70 & 0.235206 & 0.470412 & 0.764794 \tabularnewline
71 & 0.236358 & 0.472715 & 0.763642 \tabularnewline
72 & 0.21914 & 0.43828 & 0.78086 \tabularnewline
73 & 0.200319 & 0.400638 & 0.799681 \tabularnewline
74 & 0.175476 & 0.350953 & 0.824524 \tabularnewline
75 & 0.159246 & 0.318493 & 0.840754 \tabularnewline
76 & 0.209505 & 0.419009 & 0.790495 \tabularnewline
77 & 0.280256 & 0.560513 & 0.719744 \tabularnewline
78 & 0.257602 & 0.515205 & 0.742398 \tabularnewline
79 & 0.241994 & 0.483987 & 0.758006 \tabularnewline
80 & 0.224555 & 0.449109 & 0.775445 \tabularnewline
81 & 0.22297 & 0.44594 & 0.77703 \tabularnewline
82 & 0.197179 & 0.394358 & 0.802821 \tabularnewline
83 & 0.222066 & 0.444132 & 0.777934 \tabularnewline
84 & 0.196239 & 0.392478 & 0.803761 \tabularnewline
85 & 0.203304 & 0.406608 & 0.796696 \tabularnewline
86 & 0.18257 & 0.365139 & 0.81743 \tabularnewline
87 & 0.331979 & 0.663959 & 0.668021 \tabularnewline
88 & 0.307288 & 0.614576 & 0.692712 \tabularnewline
89 & 0.286863 & 0.573727 & 0.713137 \tabularnewline
90 & 0.260932 & 0.521864 & 0.739068 \tabularnewline
91 & 0.251808 & 0.503616 & 0.748192 \tabularnewline
92 & 0.234605 & 0.46921 & 0.765395 \tabularnewline
93 & 0.233402 & 0.466804 & 0.766598 \tabularnewline
94 & 0.237249 & 0.474499 & 0.762751 \tabularnewline
95 & 0.374891 & 0.749782 & 0.625109 \tabularnewline
96 & 0.372753 & 0.745506 & 0.627247 \tabularnewline
97 & 0.366637 & 0.733274 & 0.633363 \tabularnewline
98 & 0.398486 & 0.796972 & 0.601514 \tabularnewline
99 & 0.391129 & 0.782258 & 0.608871 \tabularnewline
100 & 0.488025 & 0.97605 & 0.511975 \tabularnewline
101 & 0.46186 & 0.92372 & 0.53814 \tabularnewline
102 & 0.483953 & 0.967906 & 0.516047 \tabularnewline
103 & 0.513709 & 0.972582 & 0.486291 \tabularnewline
104 & 0.48501 & 0.97002 & 0.51499 \tabularnewline
105 & 0.469407 & 0.938814 & 0.530593 \tabularnewline
106 & 0.490613 & 0.981227 & 0.509387 \tabularnewline
107 & 0.50273 & 0.994539 & 0.49727 \tabularnewline
108 & 0.546381 & 0.907238 & 0.453619 \tabularnewline
109 & 0.554174 & 0.891653 & 0.445826 \tabularnewline
110 & 0.549276 & 0.901448 & 0.450724 \tabularnewline
111 & 0.747071 & 0.505859 & 0.252929 \tabularnewline
112 & 0.789432 & 0.421136 & 0.210568 \tabularnewline
113 & 0.782011 & 0.435977 & 0.217989 \tabularnewline
114 & 0.775448 & 0.449105 & 0.224552 \tabularnewline
115 & 0.762558 & 0.474884 & 0.237442 \tabularnewline
116 & 0.870908 & 0.258185 & 0.129092 \tabularnewline
117 & 0.862495 & 0.27501 & 0.137505 \tabularnewline
118 & 0.912844 & 0.174313 & 0.0871564 \tabularnewline
119 & 0.933869 & 0.132262 & 0.0661308 \tabularnewline
120 & 0.925392 & 0.149216 & 0.0746079 \tabularnewline
121 & 0.927168 & 0.145663 & 0.0728316 \tabularnewline
122 & 0.933462 & 0.133076 & 0.0665379 \tabularnewline
123 & 0.952209 & 0.0955813 & 0.0477907 \tabularnewline
124 & 0.947042 & 0.105917 & 0.0529584 \tabularnewline
125 & 0.950885 & 0.0982306 & 0.0491153 \tabularnewline
126 & 0.947152 & 0.105697 & 0.0528483 \tabularnewline
127 & 0.961934 & 0.076132 & 0.038066 \tabularnewline
128 & 0.966855 & 0.0662904 & 0.0331452 \tabularnewline
129 & 0.962479 & 0.0750429 & 0.0375214 \tabularnewline
130 & 0.959722 & 0.0805559 & 0.0402779 \tabularnewline
131 & 0.959966 & 0.0800673 & 0.0400336 \tabularnewline
132 & 0.970039 & 0.0599217 & 0.0299608 \tabularnewline
133 & 0.967783 & 0.0644344 & 0.0322172 \tabularnewline
134 & 0.968955 & 0.0620899 & 0.0310449 \tabularnewline
135 & 0.966538 & 0.0669241 & 0.0334621 \tabularnewline
136 & 0.962575 & 0.0748504 & 0.0374252 \tabularnewline
137 & 0.958014 & 0.0839724 & 0.0419862 \tabularnewline
138 & 0.949917 & 0.100165 & 0.0500827 \tabularnewline
139 & 0.943387 & 0.113225 & 0.0566126 \tabularnewline
140 & 0.954314 & 0.0913715 & 0.0456857 \tabularnewline
141 & 0.954992 & 0.0900167 & 0.0450083 \tabularnewline
142 & 0.950211 & 0.0995789 & 0.0497894 \tabularnewline
143 & 0.941561 & 0.116879 & 0.0584393 \tabularnewline
144 & 0.932137 & 0.135727 & 0.0678635 \tabularnewline
145 & 0.963719 & 0.0725611 & 0.0362806 \tabularnewline
146 & 0.961592 & 0.0768165 & 0.0384082 \tabularnewline
147 & 0.961952 & 0.0760962 & 0.0380481 \tabularnewline
148 & 0.959098 & 0.0818043 & 0.0409022 \tabularnewline
149 & 0.953989 & 0.0920227 & 0.0460114 \tabularnewline
150 & 0.953827 & 0.092346 & 0.046173 \tabularnewline
151 & 0.947417 & 0.105166 & 0.0525828 \tabularnewline
152 & 0.947882 & 0.104236 & 0.0521182 \tabularnewline
153 & 0.939853 & 0.120294 & 0.0601468 \tabularnewline
154 & 0.938545 & 0.122909 & 0.0614546 \tabularnewline
155 & 0.934619 & 0.130762 & 0.0653809 \tabularnewline
156 & 0.975625 & 0.0487497 & 0.0243749 \tabularnewline
157 & 0.973275 & 0.0534509 & 0.0267254 \tabularnewline
158 & 0.974065 & 0.0518694 & 0.0259347 \tabularnewline
159 & 0.969959 & 0.0600818 & 0.0300409 \tabularnewline
160 & 0.968708 & 0.0625831 & 0.0312915 \tabularnewline
161 & 0.962423 & 0.0751538 & 0.0375769 \tabularnewline
162 & 0.960595 & 0.0788105 & 0.0394053 \tabularnewline
163 & 0.954302 & 0.0913968 & 0.0456984 \tabularnewline
164 & 0.950987 & 0.0980264 & 0.0490132 \tabularnewline
165 & 0.942952 & 0.114096 & 0.0570481 \tabularnewline
166 & 0.965663 & 0.0686732 & 0.0343366 \tabularnewline
167 & 0.958951 & 0.0820972 & 0.0410486 \tabularnewline
168 & 0.956151 & 0.0876984 & 0.0438492 \tabularnewline
169 & 0.987799 & 0.0244029 & 0.0122014 \tabularnewline
170 & 0.99324 & 0.0135194 & 0.00675971 \tabularnewline
171 & 0.991785 & 0.0164291 & 0.00821457 \tabularnewline
172 & 0.991864 & 0.0162718 & 0.00813591 \tabularnewline
173 & 0.99484 & 0.0103196 & 0.00515981 \tabularnewline
174 & 0.993386 & 0.0132274 & 0.00661368 \tabularnewline
175 & 0.993148 & 0.0137046 & 0.00685229 \tabularnewline
176 & 0.991649 & 0.016703 & 0.00835149 \tabularnewline
177 & 0.994506 & 0.0109874 & 0.0054937 \tabularnewline
178 & 0.993518 & 0.0129647 & 0.00648233 \tabularnewline
179 & 0.992811 & 0.0143771 & 0.00718856 \tabularnewline
180 & 0.99236 & 0.0152809 & 0.00764044 \tabularnewline
181 & 0.994049 & 0.0119016 & 0.00595078 \tabularnewline
182 & 0.992807 & 0.0143864 & 0.00719318 \tabularnewline
183 & 0.991998 & 0.016004 & 0.00800202 \tabularnewline
184 & 0.99072 & 0.0185604 & 0.00928019 \tabularnewline
185 & 0.994011 & 0.0119772 & 0.00598858 \tabularnewline
186 & 0.992345 & 0.0153106 & 0.00765532 \tabularnewline
187 & 0.990392 & 0.0192159 & 0.00960793 \tabularnewline
188 & 0.989352 & 0.0212956 & 0.0106478 \tabularnewline
189 & 0.987072 & 0.0258557 & 0.0129279 \tabularnewline
190 & 0.985465 & 0.0290709 & 0.0145354 \tabularnewline
191 & 0.98314 & 0.0337193 & 0.0168596 \tabularnewline
192 & 0.989757 & 0.020485 & 0.0102425 \tabularnewline
193 & 0.987216 & 0.025567 & 0.0127835 \tabularnewline
194 & 0.985438 & 0.0291238 & 0.0145619 \tabularnewline
195 & 0.982193 & 0.0356143 & 0.0178071 \tabularnewline
196 & 0.978892 & 0.0422155 & 0.0211078 \tabularnewline
197 & 0.977431 & 0.0451381 & 0.0225691 \tabularnewline
198 & 0.977374 & 0.045252 & 0.022626 \tabularnewline
199 & 0.985514 & 0.0289719 & 0.0144859 \tabularnewline
200 & 0.98191 & 0.0361792 & 0.0180896 \tabularnewline
201 & 0.978426 & 0.0431484 & 0.0215742 \tabularnewline
202 & 0.979249 & 0.0415017 & 0.0207508 \tabularnewline
203 & 0.974067 & 0.0518654 & 0.0259327 \tabularnewline
204 & 0.977387 & 0.0452255 & 0.0226128 \tabularnewline
205 & 0.978391 & 0.0432184 & 0.0216092 \tabularnewline
206 & 0.976203 & 0.0475949 & 0.0237975 \tabularnewline
207 & 0.97392 & 0.0521597 & 0.0260798 \tabularnewline
208 & 0.970783 & 0.0584338 & 0.0292169 \tabularnewline
209 & 0.964531 & 0.0709388 & 0.0354694 \tabularnewline
210 & 0.957586 & 0.0848277 & 0.0424138 \tabularnewline
211 & 0.957362 & 0.0852764 & 0.0426382 \tabularnewline
212 & 0.95516 & 0.0896804 & 0.0448402 \tabularnewline
213 & 0.948914 & 0.102171 & 0.0510856 \tabularnewline
214 & 0.937383 & 0.125234 & 0.0626172 \tabularnewline
215 & 0.931218 & 0.137563 & 0.0687817 \tabularnewline
216 & 0.929248 & 0.141505 & 0.0707523 \tabularnewline
217 & 0.921269 & 0.157462 & 0.0787311 \tabularnewline
218 & 0.908544 & 0.182912 & 0.0914558 \tabularnewline
219 & 0.920708 & 0.158584 & 0.0792918 \tabularnewline
220 & 0.907427 & 0.185147 & 0.0925735 \tabularnewline
221 & 0.901902 & 0.196196 & 0.0980978 \tabularnewline
222 & 0.890506 & 0.218987 & 0.109494 \tabularnewline
223 & 0.886889 & 0.226222 & 0.113111 \tabularnewline
224 & 0.886659 & 0.226683 & 0.113341 \tabularnewline
225 & 0.872958 & 0.254083 & 0.127042 \tabularnewline
226 & 0.848678 & 0.302645 & 0.151322 \tabularnewline
227 & 0.822796 & 0.354407 & 0.177204 \tabularnewline
228 & 0.796128 & 0.407744 & 0.203872 \tabularnewline
229 & 0.832329 & 0.335343 & 0.167671 \tabularnewline
230 & 0.804747 & 0.390507 & 0.195253 \tabularnewline
231 & 0.808031 & 0.383938 & 0.191969 \tabularnewline
232 & 0.788602 & 0.422795 & 0.211398 \tabularnewline
233 & 0.852746 & 0.294508 & 0.147254 \tabularnewline
234 & 0.843813 & 0.312374 & 0.156187 \tabularnewline
235 & 0.849558 & 0.300883 & 0.150442 \tabularnewline
236 & 0.850213 & 0.299575 & 0.149787 \tabularnewline
237 & 0.85555 & 0.2889 & 0.14445 \tabularnewline
238 & 0.871321 & 0.257358 & 0.128679 \tabularnewline
239 & 0.85141 & 0.297181 & 0.14859 \tabularnewline
240 & 0.825647 & 0.348707 & 0.174353 \tabularnewline
241 & 0.83031 & 0.33938 & 0.16969 \tabularnewline
242 & 0.810878 & 0.378243 & 0.189122 \tabularnewline
243 & 0.930455 & 0.139091 & 0.0695454 \tabularnewline
244 & 0.921904 & 0.156192 & 0.0780958 \tabularnewline
245 & 0.930491 & 0.139018 & 0.0695091 \tabularnewline
246 & 0.911268 & 0.177464 & 0.088732 \tabularnewline
247 & 0.888263 & 0.223474 & 0.111737 \tabularnewline
248 & 0.873067 & 0.253867 & 0.126933 \tabularnewline
249 & 0.850038 & 0.299924 & 0.149962 \tabularnewline
250 & 0.838249 & 0.323503 & 0.161751 \tabularnewline
251 & 0.868849 & 0.262303 & 0.131151 \tabularnewline
252 & 0.929592 & 0.140816 & 0.0704079 \tabularnewline
253 & 0.907386 & 0.185228 & 0.092614 \tabularnewline
254 & 0.888353 & 0.223293 & 0.111647 \tabularnewline
255 & 0.858032 & 0.283936 & 0.141968 \tabularnewline
256 & 0.821076 & 0.357847 & 0.178924 \tabularnewline
257 & 0.780301 & 0.439398 & 0.219699 \tabularnewline
258 & 0.730598 & 0.538804 & 0.269402 \tabularnewline
259 & 0.699677 & 0.600647 & 0.300323 \tabularnewline
260 & 0.648143 & 0.703714 & 0.351857 \tabularnewline
261 & 0.582613 & 0.834774 & 0.417387 \tabularnewline
262 & 0.738258 & 0.523485 & 0.261742 \tabularnewline
263 & 0.693421 & 0.613158 & 0.306579 \tabularnewline
264 & 0.630692 & 0.738616 & 0.369308 \tabularnewline
265 & 0.581336 & 0.837329 & 0.418664 \tabularnewline
266 & 0.993928 & 0.0121442 & 0.00607209 \tabularnewline
267 & 0.989737 & 0.0205262 & 0.0102631 \tabularnewline
268 & 0.999916 & 0.000167109 & 8.35544e-05 \tabularnewline
269 & 0.999964 & 7.29792e-05 & 3.64896e-05 \tabularnewline
270 & 0.999934 & 0.000132381 & 6.61905e-05 \tabularnewline
271 & 0.999993 & 1.40954e-05 & 7.04769e-06 \tabularnewline
272 & 0.999968 & 6.40326e-05 & 3.20163e-05 \tabularnewline
273 & 0.999934 & 0.000131993 & 6.59963e-05 \tabularnewline
274 & 0.999927 & 0.000146757 & 7.33787e-05 \tabularnewline
275 & 0.999862 & 0.000276226 & 0.000138113 \tabularnewline
276 & 0.998995 & 0.00201002 & 0.00100501 \tabularnewline
277 & 0.994833 & 0.0103334 & 0.00516669 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264786&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]9[/C][C]0.0639681[/C][C]0.127936[/C][C]0.936032[/C][/ROW]
[ROW][C]10[/C][C]0.0197334[/C][C]0.0394668[/C][C]0.980267[/C][/ROW]
[ROW][C]11[/C][C]0.726185[/C][C]0.54763[/C][C]0.273815[/C][/ROW]
[ROW][C]12[/C][C]0.630268[/C][C]0.739464[/C][C]0.369732[/C][/ROW]
[ROW][C]13[/C][C]0.809936[/C][C]0.380129[/C][C]0.190064[/C][/ROW]
[ROW][C]14[/C][C]0.758303[/C][C]0.483394[/C][C]0.241697[/C][/ROW]
[ROW][C]15[/C][C]0.705864[/C][C]0.588273[/C][C]0.294136[/C][/ROW]
[ROW][C]16[/C][C]0.628745[/C][C]0.742509[/C][C]0.371255[/C][/ROW]
[ROW][C]17[/C][C]0.602159[/C][C]0.795682[/C][C]0.397841[/C][/ROW]
[ROW][C]18[/C][C]0.530392[/C][C]0.939216[/C][C]0.469608[/C][/ROW]
[ROW][C]19[/C][C]0.459279[/C][C]0.918559[/C][C]0.540721[/C][/ROW]
[ROW][C]20[/C][C]0.40125[/C][C]0.802499[/C][C]0.59875[/C][/ROW]
[ROW][C]21[/C][C]0.356521[/C][C]0.713042[/C][C]0.643479[/C][/ROW]
[ROW][C]22[/C][C]0.369973[/C][C]0.739947[/C][C]0.630027[/C][/ROW]
[ROW][C]23[/C][C]0.39856[/C][C]0.79712[/C][C]0.60144[/C][/ROW]
[ROW][C]24[/C][C]0.343808[/C][C]0.687615[/C][C]0.656192[/C][/ROW]
[ROW][C]25[/C][C]0.340479[/C][C]0.680958[/C][C]0.659521[/C][/ROW]
[ROW][C]26[/C][C]0.333756[/C][C]0.667512[/C][C]0.666244[/C][/ROW]
[ROW][C]27[/C][C]0.307671[/C][C]0.615342[/C][C]0.692329[/C][/ROW]
[ROW][C]28[/C][C]0.338703[/C][C]0.677405[/C][C]0.661297[/C][/ROW]
[ROW][C]29[/C][C]0.360671[/C][C]0.721341[/C][C]0.639329[/C][/ROW]
[ROW][C]30[/C][C]0.30951[/C][C]0.619021[/C][C]0.69049[/C][/ROW]
[ROW][C]31[/C][C]0.275455[/C][C]0.550909[/C][C]0.724545[/C][/ROW]
[ROW][C]32[/C][C]0.23603[/C][C]0.472059[/C][C]0.76397[/C][/ROW]
[ROW][C]33[/C][C]0.196918[/C][C]0.393836[/C][C]0.803082[/C][/ROW]
[ROW][C]34[/C][C]0.182078[/C][C]0.364156[/C][C]0.817922[/C][/ROW]
[ROW][C]35[/C][C]0.170269[/C][C]0.340538[/C][C]0.829731[/C][/ROW]
[ROW][C]36[/C][C]0.361818[/C][C]0.723635[/C][C]0.638182[/C][/ROW]
[ROW][C]37[/C][C]0.322328[/C][C]0.644656[/C][C]0.677672[/C][/ROW]
[ROW][C]38[/C][C]0.28145[/C][C]0.5629[/C][C]0.71855[/C][/ROW]
[ROW][C]39[/C][C]0.241136[/C][C]0.482272[/C][C]0.758864[/C][/ROW]
[ROW][C]40[/C][C]0.223925[/C][C]0.447851[/C][C]0.776075[/C][/ROW]
[ROW][C]41[/C][C]0.207646[/C][C]0.415291[/C][C]0.792354[/C][/ROW]
[ROW][C]42[/C][C]0.183434[/C][C]0.366868[/C][C]0.816566[/C][/ROW]
[ROW][C]43[/C][C]0.279594[/C][C]0.559188[/C][C]0.720406[/C][/ROW]
[ROW][C]44[/C][C]0.245761[/C][C]0.491521[/C][C]0.754239[/C][/ROW]
[ROW][C]45[/C][C]0.242616[/C][C]0.485231[/C][C]0.757384[/C][/ROW]
[ROW][C]46[/C][C]0.230456[/C][C]0.460912[/C][C]0.769544[/C][/ROW]
[ROW][C]47[/C][C]0.205598[/C][C]0.411196[/C][C]0.794402[/C][/ROW]
[ROW][C]48[/C][C]0.181465[/C][C]0.36293[/C][C]0.818535[/C][/ROW]
[ROW][C]49[/C][C]0.164829[/C][C]0.329657[/C][C]0.835171[/C][/ROW]
[ROW][C]50[/C][C]0.161275[/C][C]0.32255[/C][C]0.838725[/C][/ROW]
[ROW][C]51[/C][C]0.175521[/C][C]0.351043[/C][C]0.824479[/C][/ROW]
[ROW][C]52[/C][C]0.197546[/C][C]0.395093[/C][C]0.802454[/C][/ROW]
[ROW][C]53[/C][C]0.177164[/C][C]0.354328[/C][C]0.822836[/C][/ROW]
[ROW][C]54[/C][C]0.215509[/C][C]0.431018[/C][C]0.784491[/C][/ROW]
[ROW][C]55[/C][C]0.19147[/C][C]0.382941[/C][C]0.80853[/C][/ROW]
[ROW][C]56[/C][C]0.17735[/C][C]0.3547[/C][C]0.82265[/C][/ROW]
[ROW][C]57[/C][C]0.177667[/C][C]0.355334[/C][C]0.822333[/C][/ROW]
[ROW][C]58[/C][C]0.16057[/C][C]0.321141[/C][C]0.83943[/C][/ROW]
[ROW][C]59[/C][C]0.225215[/C][C]0.450431[/C][C]0.774785[/C][/ROW]
[ROW][C]60[/C][C]0.247142[/C][C]0.494284[/C][C]0.752858[/C][/ROW]
[ROW][C]61[/C][C]0.22954[/C][C]0.459081[/C][C]0.77046[/C][/ROW]
[ROW][C]62[/C][C]0.249173[/C][C]0.498346[/C][C]0.750827[/C][/ROW]
[ROW][C]63[/C][C]0.24354[/C][C]0.487079[/C][C]0.75646[/C][/ROW]
[ROW][C]64[/C][C]0.229291[/C][C]0.458582[/C][C]0.770709[/C][/ROW]
[ROW][C]65[/C][C]0.234698[/C][C]0.469395[/C][C]0.765302[/C][/ROW]
[ROW][C]66[/C][C]0.277102[/C][C]0.554205[/C][C]0.722898[/C][/ROW]
[ROW][C]67[/C][C]0.2808[/C][C]0.5616[/C][C]0.7192[/C][/ROW]
[ROW][C]68[/C][C]0.253385[/C][C]0.50677[/C][C]0.746615[/C][/ROW]
[ROW][C]69[/C][C]0.245705[/C][C]0.491409[/C][C]0.754295[/C][/ROW]
[ROW][C]70[/C][C]0.235206[/C][C]0.470412[/C][C]0.764794[/C][/ROW]
[ROW][C]71[/C][C]0.236358[/C][C]0.472715[/C][C]0.763642[/C][/ROW]
[ROW][C]72[/C][C]0.21914[/C][C]0.43828[/C][C]0.78086[/C][/ROW]
[ROW][C]73[/C][C]0.200319[/C][C]0.400638[/C][C]0.799681[/C][/ROW]
[ROW][C]74[/C][C]0.175476[/C][C]0.350953[/C][C]0.824524[/C][/ROW]
[ROW][C]75[/C][C]0.159246[/C][C]0.318493[/C][C]0.840754[/C][/ROW]
[ROW][C]76[/C][C]0.209505[/C][C]0.419009[/C][C]0.790495[/C][/ROW]
[ROW][C]77[/C][C]0.280256[/C][C]0.560513[/C][C]0.719744[/C][/ROW]
[ROW][C]78[/C][C]0.257602[/C][C]0.515205[/C][C]0.742398[/C][/ROW]
[ROW][C]79[/C][C]0.241994[/C][C]0.483987[/C][C]0.758006[/C][/ROW]
[ROW][C]80[/C][C]0.224555[/C][C]0.449109[/C][C]0.775445[/C][/ROW]
[ROW][C]81[/C][C]0.22297[/C][C]0.44594[/C][C]0.77703[/C][/ROW]
[ROW][C]82[/C][C]0.197179[/C][C]0.394358[/C][C]0.802821[/C][/ROW]
[ROW][C]83[/C][C]0.222066[/C][C]0.444132[/C][C]0.777934[/C][/ROW]
[ROW][C]84[/C][C]0.196239[/C][C]0.392478[/C][C]0.803761[/C][/ROW]
[ROW][C]85[/C][C]0.203304[/C][C]0.406608[/C][C]0.796696[/C][/ROW]
[ROW][C]86[/C][C]0.18257[/C][C]0.365139[/C][C]0.81743[/C][/ROW]
[ROW][C]87[/C][C]0.331979[/C][C]0.663959[/C][C]0.668021[/C][/ROW]
[ROW][C]88[/C][C]0.307288[/C][C]0.614576[/C][C]0.692712[/C][/ROW]
[ROW][C]89[/C][C]0.286863[/C][C]0.573727[/C][C]0.713137[/C][/ROW]
[ROW][C]90[/C][C]0.260932[/C][C]0.521864[/C][C]0.739068[/C][/ROW]
[ROW][C]91[/C][C]0.251808[/C][C]0.503616[/C][C]0.748192[/C][/ROW]
[ROW][C]92[/C][C]0.234605[/C][C]0.46921[/C][C]0.765395[/C][/ROW]
[ROW][C]93[/C][C]0.233402[/C][C]0.466804[/C][C]0.766598[/C][/ROW]
[ROW][C]94[/C][C]0.237249[/C][C]0.474499[/C][C]0.762751[/C][/ROW]
[ROW][C]95[/C][C]0.374891[/C][C]0.749782[/C][C]0.625109[/C][/ROW]
[ROW][C]96[/C][C]0.372753[/C][C]0.745506[/C][C]0.627247[/C][/ROW]
[ROW][C]97[/C][C]0.366637[/C][C]0.733274[/C][C]0.633363[/C][/ROW]
[ROW][C]98[/C][C]0.398486[/C][C]0.796972[/C][C]0.601514[/C][/ROW]
[ROW][C]99[/C][C]0.391129[/C][C]0.782258[/C][C]0.608871[/C][/ROW]
[ROW][C]100[/C][C]0.488025[/C][C]0.97605[/C][C]0.511975[/C][/ROW]
[ROW][C]101[/C][C]0.46186[/C][C]0.92372[/C][C]0.53814[/C][/ROW]
[ROW][C]102[/C][C]0.483953[/C][C]0.967906[/C][C]0.516047[/C][/ROW]
[ROW][C]103[/C][C]0.513709[/C][C]0.972582[/C][C]0.486291[/C][/ROW]
[ROW][C]104[/C][C]0.48501[/C][C]0.97002[/C][C]0.51499[/C][/ROW]
[ROW][C]105[/C][C]0.469407[/C][C]0.938814[/C][C]0.530593[/C][/ROW]
[ROW][C]106[/C][C]0.490613[/C][C]0.981227[/C][C]0.509387[/C][/ROW]
[ROW][C]107[/C][C]0.50273[/C][C]0.994539[/C][C]0.49727[/C][/ROW]
[ROW][C]108[/C][C]0.546381[/C][C]0.907238[/C][C]0.453619[/C][/ROW]
[ROW][C]109[/C][C]0.554174[/C][C]0.891653[/C][C]0.445826[/C][/ROW]
[ROW][C]110[/C][C]0.549276[/C][C]0.901448[/C][C]0.450724[/C][/ROW]
[ROW][C]111[/C][C]0.747071[/C][C]0.505859[/C][C]0.252929[/C][/ROW]
[ROW][C]112[/C][C]0.789432[/C][C]0.421136[/C][C]0.210568[/C][/ROW]
[ROW][C]113[/C][C]0.782011[/C][C]0.435977[/C][C]0.217989[/C][/ROW]
[ROW][C]114[/C][C]0.775448[/C][C]0.449105[/C][C]0.224552[/C][/ROW]
[ROW][C]115[/C][C]0.762558[/C][C]0.474884[/C][C]0.237442[/C][/ROW]
[ROW][C]116[/C][C]0.870908[/C][C]0.258185[/C][C]0.129092[/C][/ROW]
[ROW][C]117[/C][C]0.862495[/C][C]0.27501[/C][C]0.137505[/C][/ROW]
[ROW][C]118[/C][C]0.912844[/C][C]0.174313[/C][C]0.0871564[/C][/ROW]
[ROW][C]119[/C][C]0.933869[/C][C]0.132262[/C][C]0.0661308[/C][/ROW]
[ROW][C]120[/C][C]0.925392[/C][C]0.149216[/C][C]0.0746079[/C][/ROW]
[ROW][C]121[/C][C]0.927168[/C][C]0.145663[/C][C]0.0728316[/C][/ROW]
[ROW][C]122[/C][C]0.933462[/C][C]0.133076[/C][C]0.0665379[/C][/ROW]
[ROW][C]123[/C][C]0.952209[/C][C]0.0955813[/C][C]0.0477907[/C][/ROW]
[ROW][C]124[/C][C]0.947042[/C][C]0.105917[/C][C]0.0529584[/C][/ROW]
[ROW][C]125[/C][C]0.950885[/C][C]0.0982306[/C][C]0.0491153[/C][/ROW]
[ROW][C]126[/C][C]0.947152[/C][C]0.105697[/C][C]0.0528483[/C][/ROW]
[ROW][C]127[/C][C]0.961934[/C][C]0.076132[/C][C]0.038066[/C][/ROW]
[ROW][C]128[/C][C]0.966855[/C][C]0.0662904[/C][C]0.0331452[/C][/ROW]
[ROW][C]129[/C][C]0.962479[/C][C]0.0750429[/C][C]0.0375214[/C][/ROW]
[ROW][C]130[/C][C]0.959722[/C][C]0.0805559[/C][C]0.0402779[/C][/ROW]
[ROW][C]131[/C][C]0.959966[/C][C]0.0800673[/C][C]0.0400336[/C][/ROW]
[ROW][C]132[/C][C]0.970039[/C][C]0.0599217[/C][C]0.0299608[/C][/ROW]
[ROW][C]133[/C][C]0.967783[/C][C]0.0644344[/C][C]0.0322172[/C][/ROW]
[ROW][C]134[/C][C]0.968955[/C][C]0.0620899[/C][C]0.0310449[/C][/ROW]
[ROW][C]135[/C][C]0.966538[/C][C]0.0669241[/C][C]0.0334621[/C][/ROW]
[ROW][C]136[/C][C]0.962575[/C][C]0.0748504[/C][C]0.0374252[/C][/ROW]
[ROW][C]137[/C][C]0.958014[/C][C]0.0839724[/C][C]0.0419862[/C][/ROW]
[ROW][C]138[/C][C]0.949917[/C][C]0.100165[/C][C]0.0500827[/C][/ROW]
[ROW][C]139[/C][C]0.943387[/C][C]0.113225[/C][C]0.0566126[/C][/ROW]
[ROW][C]140[/C][C]0.954314[/C][C]0.0913715[/C][C]0.0456857[/C][/ROW]
[ROW][C]141[/C][C]0.954992[/C][C]0.0900167[/C][C]0.0450083[/C][/ROW]
[ROW][C]142[/C][C]0.950211[/C][C]0.0995789[/C][C]0.0497894[/C][/ROW]
[ROW][C]143[/C][C]0.941561[/C][C]0.116879[/C][C]0.0584393[/C][/ROW]
[ROW][C]144[/C][C]0.932137[/C][C]0.135727[/C][C]0.0678635[/C][/ROW]
[ROW][C]145[/C][C]0.963719[/C][C]0.0725611[/C][C]0.0362806[/C][/ROW]
[ROW][C]146[/C][C]0.961592[/C][C]0.0768165[/C][C]0.0384082[/C][/ROW]
[ROW][C]147[/C][C]0.961952[/C][C]0.0760962[/C][C]0.0380481[/C][/ROW]
[ROW][C]148[/C][C]0.959098[/C][C]0.0818043[/C][C]0.0409022[/C][/ROW]
[ROW][C]149[/C][C]0.953989[/C][C]0.0920227[/C][C]0.0460114[/C][/ROW]
[ROW][C]150[/C][C]0.953827[/C][C]0.092346[/C][C]0.046173[/C][/ROW]
[ROW][C]151[/C][C]0.947417[/C][C]0.105166[/C][C]0.0525828[/C][/ROW]
[ROW][C]152[/C][C]0.947882[/C][C]0.104236[/C][C]0.0521182[/C][/ROW]
[ROW][C]153[/C][C]0.939853[/C][C]0.120294[/C][C]0.0601468[/C][/ROW]
[ROW][C]154[/C][C]0.938545[/C][C]0.122909[/C][C]0.0614546[/C][/ROW]
[ROW][C]155[/C][C]0.934619[/C][C]0.130762[/C][C]0.0653809[/C][/ROW]
[ROW][C]156[/C][C]0.975625[/C][C]0.0487497[/C][C]0.0243749[/C][/ROW]
[ROW][C]157[/C][C]0.973275[/C][C]0.0534509[/C][C]0.0267254[/C][/ROW]
[ROW][C]158[/C][C]0.974065[/C][C]0.0518694[/C][C]0.0259347[/C][/ROW]
[ROW][C]159[/C][C]0.969959[/C][C]0.0600818[/C][C]0.0300409[/C][/ROW]
[ROW][C]160[/C][C]0.968708[/C][C]0.0625831[/C][C]0.0312915[/C][/ROW]
[ROW][C]161[/C][C]0.962423[/C][C]0.0751538[/C][C]0.0375769[/C][/ROW]
[ROW][C]162[/C][C]0.960595[/C][C]0.0788105[/C][C]0.0394053[/C][/ROW]
[ROW][C]163[/C][C]0.954302[/C][C]0.0913968[/C][C]0.0456984[/C][/ROW]
[ROW][C]164[/C][C]0.950987[/C][C]0.0980264[/C][C]0.0490132[/C][/ROW]
[ROW][C]165[/C][C]0.942952[/C][C]0.114096[/C][C]0.0570481[/C][/ROW]
[ROW][C]166[/C][C]0.965663[/C][C]0.0686732[/C][C]0.0343366[/C][/ROW]
[ROW][C]167[/C][C]0.958951[/C][C]0.0820972[/C][C]0.0410486[/C][/ROW]
[ROW][C]168[/C][C]0.956151[/C][C]0.0876984[/C][C]0.0438492[/C][/ROW]
[ROW][C]169[/C][C]0.987799[/C][C]0.0244029[/C][C]0.0122014[/C][/ROW]
[ROW][C]170[/C][C]0.99324[/C][C]0.0135194[/C][C]0.00675971[/C][/ROW]
[ROW][C]171[/C][C]0.991785[/C][C]0.0164291[/C][C]0.00821457[/C][/ROW]
[ROW][C]172[/C][C]0.991864[/C][C]0.0162718[/C][C]0.00813591[/C][/ROW]
[ROW][C]173[/C][C]0.99484[/C][C]0.0103196[/C][C]0.00515981[/C][/ROW]
[ROW][C]174[/C][C]0.993386[/C][C]0.0132274[/C][C]0.00661368[/C][/ROW]
[ROW][C]175[/C][C]0.993148[/C][C]0.0137046[/C][C]0.00685229[/C][/ROW]
[ROW][C]176[/C][C]0.991649[/C][C]0.016703[/C][C]0.00835149[/C][/ROW]
[ROW][C]177[/C][C]0.994506[/C][C]0.0109874[/C][C]0.0054937[/C][/ROW]
[ROW][C]178[/C][C]0.993518[/C][C]0.0129647[/C][C]0.00648233[/C][/ROW]
[ROW][C]179[/C][C]0.992811[/C][C]0.0143771[/C][C]0.00718856[/C][/ROW]
[ROW][C]180[/C][C]0.99236[/C][C]0.0152809[/C][C]0.00764044[/C][/ROW]
[ROW][C]181[/C][C]0.994049[/C][C]0.0119016[/C][C]0.00595078[/C][/ROW]
[ROW][C]182[/C][C]0.992807[/C][C]0.0143864[/C][C]0.00719318[/C][/ROW]
[ROW][C]183[/C][C]0.991998[/C][C]0.016004[/C][C]0.00800202[/C][/ROW]
[ROW][C]184[/C][C]0.99072[/C][C]0.0185604[/C][C]0.00928019[/C][/ROW]
[ROW][C]185[/C][C]0.994011[/C][C]0.0119772[/C][C]0.00598858[/C][/ROW]
[ROW][C]186[/C][C]0.992345[/C][C]0.0153106[/C][C]0.00765532[/C][/ROW]
[ROW][C]187[/C][C]0.990392[/C][C]0.0192159[/C][C]0.00960793[/C][/ROW]
[ROW][C]188[/C][C]0.989352[/C][C]0.0212956[/C][C]0.0106478[/C][/ROW]
[ROW][C]189[/C][C]0.987072[/C][C]0.0258557[/C][C]0.0129279[/C][/ROW]
[ROW][C]190[/C][C]0.985465[/C][C]0.0290709[/C][C]0.0145354[/C][/ROW]
[ROW][C]191[/C][C]0.98314[/C][C]0.0337193[/C][C]0.0168596[/C][/ROW]
[ROW][C]192[/C][C]0.989757[/C][C]0.020485[/C][C]0.0102425[/C][/ROW]
[ROW][C]193[/C][C]0.987216[/C][C]0.025567[/C][C]0.0127835[/C][/ROW]
[ROW][C]194[/C][C]0.985438[/C][C]0.0291238[/C][C]0.0145619[/C][/ROW]
[ROW][C]195[/C][C]0.982193[/C][C]0.0356143[/C][C]0.0178071[/C][/ROW]
[ROW][C]196[/C][C]0.978892[/C][C]0.0422155[/C][C]0.0211078[/C][/ROW]
[ROW][C]197[/C][C]0.977431[/C][C]0.0451381[/C][C]0.0225691[/C][/ROW]
[ROW][C]198[/C][C]0.977374[/C][C]0.045252[/C][C]0.022626[/C][/ROW]
[ROW][C]199[/C][C]0.985514[/C][C]0.0289719[/C][C]0.0144859[/C][/ROW]
[ROW][C]200[/C][C]0.98191[/C][C]0.0361792[/C][C]0.0180896[/C][/ROW]
[ROW][C]201[/C][C]0.978426[/C][C]0.0431484[/C][C]0.0215742[/C][/ROW]
[ROW][C]202[/C][C]0.979249[/C][C]0.0415017[/C][C]0.0207508[/C][/ROW]
[ROW][C]203[/C][C]0.974067[/C][C]0.0518654[/C][C]0.0259327[/C][/ROW]
[ROW][C]204[/C][C]0.977387[/C][C]0.0452255[/C][C]0.0226128[/C][/ROW]
[ROW][C]205[/C][C]0.978391[/C][C]0.0432184[/C][C]0.0216092[/C][/ROW]
[ROW][C]206[/C][C]0.976203[/C][C]0.0475949[/C][C]0.0237975[/C][/ROW]
[ROW][C]207[/C][C]0.97392[/C][C]0.0521597[/C][C]0.0260798[/C][/ROW]
[ROW][C]208[/C][C]0.970783[/C][C]0.0584338[/C][C]0.0292169[/C][/ROW]
[ROW][C]209[/C][C]0.964531[/C][C]0.0709388[/C][C]0.0354694[/C][/ROW]
[ROW][C]210[/C][C]0.957586[/C][C]0.0848277[/C][C]0.0424138[/C][/ROW]
[ROW][C]211[/C][C]0.957362[/C][C]0.0852764[/C][C]0.0426382[/C][/ROW]
[ROW][C]212[/C][C]0.95516[/C][C]0.0896804[/C][C]0.0448402[/C][/ROW]
[ROW][C]213[/C][C]0.948914[/C][C]0.102171[/C][C]0.0510856[/C][/ROW]
[ROW][C]214[/C][C]0.937383[/C][C]0.125234[/C][C]0.0626172[/C][/ROW]
[ROW][C]215[/C][C]0.931218[/C][C]0.137563[/C][C]0.0687817[/C][/ROW]
[ROW][C]216[/C][C]0.929248[/C][C]0.141505[/C][C]0.0707523[/C][/ROW]
[ROW][C]217[/C][C]0.921269[/C][C]0.157462[/C][C]0.0787311[/C][/ROW]
[ROW][C]218[/C][C]0.908544[/C][C]0.182912[/C][C]0.0914558[/C][/ROW]
[ROW][C]219[/C][C]0.920708[/C][C]0.158584[/C][C]0.0792918[/C][/ROW]
[ROW][C]220[/C][C]0.907427[/C][C]0.185147[/C][C]0.0925735[/C][/ROW]
[ROW][C]221[/C][C]0.901902[/C][C]0.196196[/C][C]0.0980978[/C][/ROW]
[ROW][C]222[/C][C]0.890506[/C][C]0.218987[/C][C]0.109494[/C][/ROW]
[ROW][C]223[/C][C]0.886889[/C][C]0.226222[/C][C]0.113111[/C][/ROW]
[ROW][C]224[/C][C]0.886659[/C][C]0.226683[/C][C]0.113341[/C][/ROW]
[ROW][C]225[/C][C]0.872958[/C][C]0.254083[/C][C]0.127042[/C][/ROW]
[ROW][C]226[/C][C]0.848678[/C][C]0.302645[/C][C]0.151322[/C][/ROW]
[ROW][C]227[/C][C]0.822796[/C][C]0.354407[/C][C]0.177204[/C][/ROW]
[ROW][C]228[/C][C]0.796128[/C][C]0.407744[/C][C]0.203872[/C][/ROW]
[ROW][C]229[/C][C]0.832329[/C][C]0.335343[/C][C]0.167671[/C][/ROW]
[ROW][C]230[/C][C]0.804747[/C][C]0.390507[/C][C]0.195253[/C][/ROW]
[ROW][C]231[/C][C]0.808031[/C][C]0.383938[/C][C]0.191969[/C][/ROW]
[ROW][C]232[/C][C]0.788602[/C][C]0.422795[/C][C]0.211398[/C][/ROW]
[ROW][C]233[/C][C]0.852746[/C][C]0.294508[/C][C]0.147254[/C][/ROW]
[ROW][C]234[/C][C]0.843813[/C][C]0.312374[/C][C]0.156187[/C][/ROW]
[ROW][C]235[/C][C]0.849558[/C][C]0.300883[/C][C]0.150442[/C][/ROW]
[ROW][C]236[/C][C]0.850213[/C][C]0.299575[/C][C]0.149787[/C][/ROW]
[ROW][C]237[/C][C]0.85555[/C][C]0.2889[/C][C]0.14445[/C][/ROW]
[ROW][C]238[/C][C]0.871321[/C][C]0.257358[/C][C]0.128679[/C][/ROW]
[ROW][C]239[/C][C]0.85141[/C][C]0.297181[/C][C]0.14859[/C][/ROW]
[ROW][C]240[/C][C]0.825647[/C][C]0.348707[/C][C]0.174353[/C][/ROW]
[ROW][C]241[/C][C]0.83031[/C][C]0.33938[/C][C]0.16969[/C][/ROW]
[ROW][C]242[/C][C]0.810878[/C][C]0.378243[/C][C]0.189122[/C][/ROW]
[ROW][C]243[/C][C]0.930455[/C][C]0.139091[/C][C]0.0695454[/C][/ROW]
[ROW][C]244[/C][C]0.921904[/C][C]0.156192[/C][C]0.0780958[/C][/ROW]
[ROW][C]245[/C][C]0.930491[/C][C]0.139018[/C][C]0.0695091[/C][/ROW]
[ROW][C]246[/C][C]0.911268[/C][C]0.177464[/C][C]0.088732[/C][/ROW]
[ROW][C]247[/C][C]0.888263[/C][C]0.223474[/C][C]0.111737[/C][/ROW]
[ROW][C]248[/C][C]0.873067[/C][C]0.253867[/C][C]0.126933[/C][/ROW]
[ROW][C]249[/C][C]0.850038[/C][C]0.299924[/C][C]0.149962[/C][/ROW]
[ROW][C]250[/C][C]0.838249[/C][C]0.323503[/C][C]0.161751[/C][/ROW]
[ROW][C]251[/C][C]0.868849[/C][C]0.262303[/C][C]0.131151[/C][/ROW]
[ROW][C]252[/C][C]0.929592[/C][C]0.140816[/C][C]0.0704079[/C][/ROW]
[ROW][C]253[/C][C]0.907386[/C][C]0.185228[/C][C]0.092614[/C][/ROW]
[ROW][C]254[/C][C]0.888353[/C][C]0.223293[/C][C]0.111647[/C][/ROW]
[ROW][C]255[/C][C]0.858032[/C][C]0.283936[/C][C]0.141968[/C][/ROW]
[ROW][C]256[/C][C]0.821076[/C][C]0.357847[/C][C]0.178924[/C][/ROW]
[ROW][C]257[/C][C]0.780301[/C][C]0.439398[/C][C]0.219699[/C][/ROW]
[ROW][C]258[/C][C]0.730598[/C][C]0.538804[/C][C]0.269402[/C][/ROW]
[ROW][C]259[/C][C]0.699677[/C][C]0.600647[/C][C]0.300323[/C][/ROW]
[ROW][C]260[/C][C]0.648143[/C][C]0.703714[/C][C]0.351857[/C][/ROW]
[ROW][C]261[/C][C]0.582613[/C][C]0.834774[/C][C]0.417387[/C][/ROW]
[ROW][C]262[/C][C]0.738258[/C][C]0.523485[/C][C]0.261742[/C][/ROW]
[ROW][C]263[/C][C]0.693421[/C][C]0.613158[/C][C]0.306579[/C][/ROW]
[ROW][C]264[/C][C]0.630692[/C][C]0.738616[/C][C]0.369308[/C][/ROW]
[ROW][C]265[/C][C]0.581336[/C][C]0.837329[/C][C]0.418664[/C][/ROW]
[ROW][C]266[/C][C]0.993928[/C][C]0.0121442[/C][C]0.00607209[/C][/ROW]
[ROW][C]267[/C][C]0.989737[/C][C]0.0205262[/C][C]0.0102631[/C][/ROW]
[ROW][C]268[/C][C]0.999916[/C][C]0.000167109[/C][C]8.35544e-05[/C][/ROW]
[ROW][C]269[/C][C]0.999964[/C][C]7.29792e-05[/C][C]3.64896e-05[/C][/ROW]
[ROW][C]270[/C][C]0.999934[/C][C]0.000132381[/C][C]6.61905e-05[/C][/ROW]
[ROW][C]271[/C][C]0.999993[/C][C]1.40954e-05[/C][C]7.04769e-06[/C][/ROW]
[ROW][C]272[/C][C]0.999968[/C][C]6.40326e-05[/C][C]3.20163e-05[/C][/ROW]
[ROW][C]273[/C][C]0.999934[/C][C]0.000131993[/C][C]6.59963e-05[/C][/ROW]
[ROW][C]274[/C][C]0.999927[/C][C]0.000146757[/C][C]7.33787e-05[/C][/ROW]
[ROW][C]275[/C][C]0.999862[/C][C]0.000276226[/C][C]0.000138113[/C][/ROW]
[ROW][C]276[/C][C]0.998995[/C][C]0.00201002[/C][C]0.00100501[/C][/ROW]
[ROW][C]277[/C][C]0.994833[/C][C]0.0103334[/C][C]0.00516669[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264786&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264786&T=5

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


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.06396810.1279360.936032
100.01973340.03946680.980267
110.7261850.547630.273815
120.6302680.7394640.369732
130.8099360.3801290.190064
140.7583030.4833940.241697
150.7058640.5882730.294136
160.6287450.7425090.371255
170.6021590.7956820.397841
180.5303920.9392160.469608
190.4592790.9185590.540721
200.401250.8024990.59875
210.3565210.7130420.643479
220.3699730.7399470.630027
230.398560.797120.60144
240.3438080.6876150.656192
250.3404790.6809580.659521
260.3337560.6675120.666244
270.3076710.6153420.692329
280.3387030.6774050.661297
290.3606710.7213410.639329
300.309510.6190210.69049
310.2754550.5509090.724545
320.236030.4720590.76397
330.1969180.3938360.803082
340.1820780.3641560.817922
350.1702690.3405380.829731
360.3618180.7236350.638182
370.3223280.6446560.677672
380.281450.56290.71855
390.2411360.4822720.758864
400.2239250.4478510.776075
410.2076460.4152910.792354
420.1834340.3668680.816566
430.2795940.5591880.720406
440.2457610.4915210.754239
450.2426160.4852310.757384
460.2304560.4609120.769544
470.2055980.4111960.794402
480.1814650.362930.818535
490.1648290.3296570.835171
500.1612750.322550.838725
510.1755210.3510430.824479
520.1975460.3950930.802454
530.1771640.3543280.822836
540.2155090.4310180.784491
550.191470.3829410.80853
560.177350.35470.82265
570.1776670.3553340.822333
580.160570.3211410.83943
590.2252150.4504310.774785
600.2471420.4942840.752858
610.229540.4590810.77046
620.2491730.4983460.750827
630.243540.4870790.75646
640.2292910.4585820.770709
650.2346980.4693950.765302
660.2771020.5542050.722898
670.28080.56160.7192
680.2533850.506770.746615
690.2457050.4914090.754295
700.2352060.4704120.764794
710.2363580.4727150.763642
720.219140.438280.78086
730.2003190.4006380.799681
740.1754760.3509530.824524
750.1592460.3184930.840754
760.2095050.4190090.790495
770.2802560.5605130.719744
780.2576020.5152050.742398
790.2419940.4839870.758006
800.2245550.4491090.775445
810.222970.445940.77703
820.1971790.3943580.802821
830.2220660.4441320.777934
840.1962390.3924780.803761
850.2033040.4066080.796696
860.182570.3651390.81743
870.3319790.6639590.668021
880.3072880.6145760.692712
890.2868630.5737270.713137
900.2609320.5218640.739068
910.2518080.5036160.748192
920.2346050.469210.765395
930.2334020.4668040.766598
940.2372490.4744990.762751
950.3748910.7497820.625109
960.3727530.7455060.627247
970.3666370.7332740.633363
980.3984860.7969720.601514
990.3911290.7822580.608871
1000.4880250.976050.511975
1010.461860.923720.53814
1020.4839530.9679060.516047
1030.5137090.9725820.486291
1040.485010.970020.51499
1050.4694070.9388140.530593
1060.4906130.9812270.509387
1070.502730.9945390.49727
1080.5463810.9072380.453619
1090.5541740.8916530.445826
1100.5492760.9014480.450724
1110.7470710.5058590.252929
1120.7894320.4211360.210568
1130.7820110.4359770.217989
1140.7754480.4491050.224552
1150.7625580.4748840.237442
1160.8709080.2581850.129092
1170.8624950.275010.137505
1180.9128440.1743130.0871564
1190.9338690.1322620.0661308
1200.9253920.1492160.0746079
1210.9271680.1456630.0728316
1220.9334620.1330760.0665379
1230.9522090.09558130.0477907
1240.9470420.1059170.0529584
1250.9508850.09823060.0491153
1260.9471520.1056970.0528483
1270.9619340.0761320.038066
1280.9668550.06629040.0331452
1290.9624790.07504290.0375214
1300.9597220.08055590.0402779
1310.9599660.08006730.0400336
1320.9700390.05992170.0299608
1330.9677830.06443440.0322172
1340.9689550.06208990.0310449
1350.9665380.06692410.0334621
1360.9625750.07485040.0374252
1370.9580140.08397240.0419862
1380.9499170.1001650.0500827
1390.9433870.1132250.0566126
1400.9543140.09137150.0456857
1410.9549920.09001670.0450083
1420.9502110.09957890.0497894
1430.9415610.1168790.0584393
1440.9321370.1357270.0678635
1450.9637190.07256110.0362806
1460.9615920.07681650.0384082
1470.9619520.07609620.0380481
1480.9590980.08180430.0409022
1490.9539890.09202270.0460114
1500.9538270.0923460.046173
1510.9474170.1051660.0525828
1520.9478820.1042360.0521182
1530.9398530.1202940.0601468
1540.9385450.1229090.0614546
1550.9346190.1307620.0653809
1560.9756250.04874970.0243749
1570.9732750.05345090.0267254
1580.9740650.05186940.0259347
1590.9699590.06008180.0300409
1600.9687080.06258310.0312915
1610.9624230.07515380.0375769
1620.9605950.07881050.0394053
1630.9543020.09139680.0456984
1640.9509870.09802640.0490132
1650.9429520.1140960.0570481
1660.9656630.06867320.0343366
1670.9589510.08209720.0410486
1680.9561510.08769840.0438492
1690.9877990.02440290.0122014
1700.993240.01351940.00675971
1710.9917850.01642910.00821457
1720.9918640.01627180.00813591
1730.994840.01031960.00515981
1740.9933860.01322740.00661368
1750.9931480.01370460.00685229
1760.9916490.0167030.00835149
1770.9945060.01098740.0054937
1780.9935180.01296470.00648233
1790.9928110.01437710.00718856
1800.992360.01528090.00764044
1810.9940490.01190160.00595078
1820.9928070.01438640.00719318
1830.9919980.0160040.00800202
1840.990720.01856040.00928019
1850.9940110.01197720.00598858
1860.9923450.01531060.00765532
1870.9903920.01921590.00960793
1880.9893520.02129560.0106478
1890.9870720.02585570.0129279
1900.9854650.02907090.0145354
1910.983140.03371930.0168596
1920.9897570.0204850.0102425
1930.9872160.0255670.0127835
1940.9854380.02912380.0145619
1950.9821930.03561430.0178071
1960.9788920.04221550.0211078
1970.9774310.04513810.0225691
1980.9773740.0452520.022626
1990.9855140.02897190.0144859
2000.981910.03617920.0180896
2010.9784260.04314840.0215742
2020.9792490.04150170.0207508
2030.9740670.05186540.0259327
2040.9773870.04522550.0226128
2050.9783910.04321840.0216092
2060.9762030.04759490.0237975
2070.973920.05215970.0260798
2080.9707830.05843380.0292169
2090.9645310.07093880.0354694
2100.9575860.08482770.0424138
2110.9573620.08527640.0426382
2120.955160.08968040.0448402
2130.9489140.1021710.0510856
2140.9373830.1252340.0626172
2150.9312180.1375630.0687817
2160.9292480.1415050.0707523
2170.9212690.1574620.0787311
2180.9085440.1829120.0914558
2190.9207080.1585840.0792918
2200.9074270.1851470.0925735
2210.9019020.1961960.0980978
2220.8905060.2189870.109494
2230.8868890.2262220.113111
2240.8866590.2266830.113341
2250.8729580.2540830.127042
2260.8486780.3026450.151322
2270.8227960.3544070.177204
2280.7961280.4077440.203872
2290.8323290.3353430.167671
2300.8047470.3905070.195253
2310.8080310.3839380.191969
2320.7886020.4227950.211398
2330.8527460.2945080.147254
2340.8438130.3123740.156187
2350.8495580.3008830.150442
2360.8502130.2995750.149787
2370.855550.28890.14445
2380.8713210.2573580.128679
2390.851410.2971810.14859
2400.8256470.3487070.174353
2410.830310.339380.16969
2420.8108780.3782430.189122
2430.9304550.1390910.0695454
2440.9219040.1561920.0780958
2450.9304910.1390180.0695091
2460.9112680.1774640.088732
2470.8882630.2234740.111737
2480.8730670.2538670.126933
2490.8500380.2999240.149962
2500.8382490.3235030.161751
2510.8688490.2623030.131151
2520.9295920.1408160.0704079
2530.9073860.1852280.092614
2540.8883530.2232930.111647
2550.8580320.2839360.141968
2560.8210760.3578470.178924
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2590.6996770.6006470.300323
2600.6481430.7037140.351857
2610.5826130.8347740.417387
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2630.6934210.6131580.306579
2640.6306920.7386160.369308
2650.5813360.8373290.418664
2660.9939280.01214420.00607209
2670.9897370.02052620.0102631
2680.9999160.0001671098.35544e-05
2690.9999647.29792e-053.64896e-05
2700.9999340.0001323816.61905e-05
2710.9999931.40954e-057.04769e-06
2720.9999686.40326e-053.20163e-05
2730.9999340.0001319936.59963e-05
2740.9999270.0001467577.33787e-05
2750.9998620.0002762260.000138113
2760.9989950.002010020.00100501
2770.9948330.01033340.00516669






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level90.0334572NOK
5% type I error level510.189591NOK
10% type I error level910.33829NOK

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
Description & # significant tests & % significant tests & OK/NOK \tabularnewline
1% type I error level & 9 & 0.0334572 & NOK \tabularnewline
5% type I error level & 51 & 0.189591 & NOK \tabularnewline
10% type I error level & 91 & 0.33829 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264786&T=6

[TABLE]
[ROW][C]Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]Description[/C][C]# significant tests[/C][C]% significant tests[/C][C]OK/NOK[/C][/ROW]
[ROW][C]1% type I error level[/C][C]9[/C][C]0.0334572[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]51[/C][C]0.189591[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]91[/C][C]0.33829[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264786&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264786&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 level90.0334572NOK
5% type I error level510.189591NOK
10% type I error level910.33829NOK


Figures (Output of Computation)

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Input Parameters & R Code

Parameters (Session):
par1 = 6 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 6 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
R code (references can be found in the software module):
par3 <- 'No Linear Trend'
par2 <- 'Do not include Seasonal Dummies'
par1 <- '6'
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')
}