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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationThu, 15 Dec 2011 09:44:33 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/15/t1323960334puc4grigajzi10v.htm/, Retrieved Thu, 09 May 2024 02:25:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=155454, Retrieved Thu, 09 May 2024 02:25:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact89

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [] [2011-12-15 14:44:33] [c8f7c4812ba63eaa5bf379ee3b4bd6a3] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3	210907	56	79	94	30
4	120982	56	58	103	28
12	176508	54	60	93	38
2	179321	89	108	103	30
1	123185	40	49	51	22
3	52746	25	0	70	26
0	385534	92	121	91	25
0	33170	18	1	22	18
0	101645	63	20	38	11
5	149061	44	43	93	26
0	165446	33	69	60	25
0	237213	84	78	123	38
7	173326	88	86	148	44
7	133131	55	44	90	30
3	258873	60	104	124	40
9	180083	66	63	70	34
0	324799	154	158	168	47
4	230964	53	102	115	30
3	236785	119	77	71	31
0	135473	41	82	66	23
7	202925	61	115	134	36
0	215147	58	101	117	36
1	344297	75	80	108	30
5	153935	33	50	84	25
7	132943	40	83	156	39
0	174724	92	123	120	34
0	174415	100	73	114	31
5	225548	112	81	94	31
0	223632	73	105	120	33
0	124817	40	47	81	25
0	221698	45	105	110	33
3	210767	60	94	133	35
4	170266	62	44	122	42
1	260561	75	114	158	43
4	84853	31	38	109	30
2	294424	77	107	124	33
0	101011	34	30	39	13
0	215641	46	71	92	32
0	325107	99	84	126	36
0	7176	17	0	0	0
2	167542	66	59	70	28
1	106408	30	33	37	14
0	96560	76	42	38	17
2	265769	146	96	120	32
10	269651	67	106	93	30
6	149112	56	56	95	35
0	175824	107	57	77	20
5	152871	58	59	90	28
4	111665	34	39	80	28
1	116408	61	34	31	39
2	362301	119	76	110	34
2	78800	42	20	66	26
0	183167	66	91	138	39
8	277965	89	115	133	39
3	150629	44	85	113	33
0	168809	66	76	100	28
0	24188	24	8	7	4
8	329267	259	79	140	39
5	65029	17	21	61	18
3	101097	64	30	41	14
1	218946	41	76	96	29
5	244052	68	101	164	44
1	341570	168	94	78	21
1	103597	43	27	49	16
5	233328	132	92	102	28
0	256462	105	123	124	35
12	206161	71	75	99	28
8	311473	112	128	129	38
8	235800	94	105	62	23
8	177939	82	55	73	36
8	207176	70	56	114	32
2	196553	57	41	99	29
0	174184	53	72	70	25
5	143246	103	67	104	27
8	187559	121	75	116	36
2	187681	62	114	91	28
5	119016	52	118	74	23
12	182192	52	77	138	40
6	73566	32	22	67	23
7	194979	62	66	151	40
2	167488	45	69	72	28
0	143756	46	105	120	34
4	275541	63	116	115	33
3	243199	75	88	105	28
6	182999	88	73	104	34
2	135649	46	99	108	30
0	152299	53	62	98	33
1	120221	37	53	69	22
0	346485	90	118	111	38
5	145790	63	30	99	26
2	193339	78	100	71	35
0	80953	25	49	27	8
0	122774	45	24	69	24
5	130585	46	67	107	29
0	112611	41	46	73	20
1	286468	144	57	107	29
0	241066	82	75	93	45
1	148446	91	135	129	37
1	204713	71	68	69	33
2	182079	63	124	118	33
6	140344	53	33	73	25
1	220516	62	98	119	32
4	243060	63	58	104	29
2	162765	32	68	107	28
3	182613	39	81	99	28
0	232138	62	131	90	31
10	265318	117	110	197	52
0	85574	34	37	36	21
9	310839	92	130	85	24
7	225060	93	93	139	41
0	232317	54	118	106	33
0	144966	144	39	50	32
4	43287	14	13	64	19
4	155754	61	74	31	20
0	164709	109	81	63	31
0	201940	38	109	92	31
0	235454	73	151	106	32
1	220801	75	51	63	18
0	99466	50	28	69	23
1	92661	61	40	41	17
0	133328	55	56	56	20
0	61361	77	27	25	12
4	125930	75	37	65	17
0	100750	72	83	93	30
4	224549	50	54	114	31
4	82316	32	27	38	10
3	102010	53	28	44	13
0	101523	42	59	87	22
0	243511	71	133	110	42
0	22938	10	12	0	1
5	41566	35	0	27	9
0	152474	65	106	83	32
4	61857	25	23	30	11
0	99923	66	44	80	25
0	132487	41	71	98	36
1	317394	86	116	82	31
0	21054	16	4	0	0
5	209641	42	62	60	24
0	22648	19	12	28	13
0	31414	19	18	9	8
0	46698	45	14	33	13
0	131698	65	60	59	19
0	91735	35	7	49	18
2	244749	95	98	115	33
7	184510	49	64	140	40
1	79863	37	29	49	22
8	128423	64	32	120	38
2	97839	38	25	66	24
0	38214	34	16	21	8
2	151101	32	48	124	35
0	272458	65	100	152	43
0	172494	52	46	139	43
1	108043	62	45	38	14
3	328107	65	129	144	41
0	250579	83	130	120	38
3	351067	95	136	160	45
0	158015	29	59	114	31
0	98866	18	25	39	13
0	85439	33	32	78	28
4	229242	247	63	119	31
4	351619	139	95	141	40
11	84207	29	14	101	30
0	120445	118	36	56	16
0	324598	110	113	133	37
4	131069	67	47	83	30
0	204271	42	92	116	35
1	165543	65	70	90	32
0	141722	94	19	36	27
0	116048	64	50	50	20
0	250047	81	41	61	18
9	299775	95	91	97	31
1	195838	67	111	98	31
3	173260	63	41	78	21
10	254488	83	120	117	39
5	104389	45	135	148	41
0	136084	30	27	41	13
2	199476	70	87	105	32
0	92499	32	25	55	18
1	224330	83	131	132	39
2	135781	31	45	44	14
4	74408	67	29	21	7
0	81240	66	58	50	17
0	14688	10	4	0	0
2	181633	70	47	73	30
1	271856	103	109	86	37
0	7199	5	7	0	0
0	46660	20	12	13	5
0	17547	5	0	4	1
1	133368	36	37	57	16
0	95227	34	37	48	32
2	152601	48	46	46	24
0	98146	40	15	48	17
3	79619	43	42	32	11
6	59194	31	7	68	24
0	139942	42	54	87	22
2	118612	46	54	43	12
0	72880	33	14	67	19
2	65475	18	16	46	13
1	99643	55	33	46	17
1	71965	35	32	56	15
2	77272	59	21	48	16
1	49289	19	15	44	24
0	135131	66	38	60	15
1	108446	60	22	65	17
3	89746	36	28	55	18
0	44296	25	10	38	20
0	77648	47	31	52	16
0	181528	54	32	60	16
0	134019	53	32	54	18
1	124064	40	43	86	22
4	92630	40	27	24	8
0	121848	39	37	52	17
0	52915	14	20	49	18
0	81872	45	32	61	16
7	58981	36	0	61	23
2	53515	28	5	81	22
0	60812	44	26	43	13
7	56375	30	10	40	13
3	65490	22	27	40	16
0	80949	17	11	56	16
0	76302	31	29	68	20
6	104011	55	25	79	22
2	98104	54	55	47	17
0	67989	21	23	57	18
0	30989	14	5	41	17
3	135458	81	43	29	12
0	73504	35	23	3	7
1	63123	43	34	60	17
1	61254	46	36	30	14
0	74914	30	35	79	23
1	31774	23	0	47	17
0	81437	38	37	40	14
0	87186	54	28	48	15
0	50090	20	16	36	17
0	65745	53	26	42	21
0	56653	45	38	49	18
0	158399	39	23	57	18
0	46455	20	22	12	17
0	73624	24	30	40	17
0	38395	31	16	43	16
0	91899	35	18	33	15
0	139526	151	28	77	21
0	52164	52	32	43	16
2	51567	30	21	45	14
0	70551	31	23	47	15
1	84856	29	29	43	17
1	102538	57	50	45	15
0	86678	40	12	50	15
0	85709	44	21	35	10
0	34662	25	18	7	6
0	150580	77	27	71	22
0	99611	35	41	67	21
0	19349	11	13	0	1
1	99373	63	12	62	18
0	86230	44	21	54	17
0	30837	19	8	4	4
0	31706	13	26	25	10
0	89806	42	27	40	16
1	62088	38	13	38	16
0	40151	29	16	19	9
0	27634	20	2	17	16
0	76990	27	42	67	17
0	37460	20	5	14	7
0	54157	19	37	30	15
0	49862	37	17	54	14
0	84337	26	38	35	14
0	64175	42	37	59	18
0	59382	49	29	24	12
0	119308	30	32	58	16
0	76702	49	35	42	21
1	103425	67	17	46	19
0	70344	28	20	61	16
0	43410	19	7	3	1
1	104838	49	46	52	16
0	62215	27	24	25	10
6	69304	30	40	40	19
3	53117	22	3	32	12
1	19764	12	10	4	2
2	86680	31	37	49	14
0	84105	20	17	63	17
0	77945	20	28	67	19
0	89113	39	19	32	14
3	91005	29	29	23	11
1	40248	16	8	7	4
0	64187	27	10	54	16
0	50857	21	15	37	20
1	56613	19	15	35	12
0	62792	35	28	51	15
0	72535	14	17	39	16

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 seconds
R Server'AstonUniversity' @ aston.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 & 8 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155454&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]8 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155454&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155454&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 time8 seconds
R Server'AstonUniversity' @ aston.wessa.net






Multiple Linear Regression - Estimated Regression Equation
shared_compendiums[t] = -0.460546121328563 + 1.19304175617582e-06time_in_rfc[t] + 0.00548881343847474logins[t] -0.018557766306914blogged_computations[t] + 0.0256112060189713feedback_messages_p120[t] + 0.0465497945074909compendiums_reviewed[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
shared_compendiums[t] =  -0.460546121328563 +  1.19304175617582e-06time_in_rfc[t] +  0.00548881343847474logins[t] -0.018557766306914blogged_computations[t] +  0.0256112060189713feedback_messages_p120[t] +  0.0465497945074909compendiums_reviewed[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155454&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]shared_compendiums[t] =  -0.460546121328563 +  1.19304175617582e-06time_in_rfc[t] +  0.00548881343847474logins[t] -0.018557766306914blogged_computations[t] +  0.0256112060189713feedback_messages_p120[t] +  0.0465497945074909compendiums_reviewed[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155454&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155454&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
shared_compendiums[t] = -0.460546121328563 + 1.19304175617582e-06time_in_rfc[t] + 0.00548881343847474logins[t] -0.018557766306914blogged_computations[t] + 0.0256112060189713feedback_messages_p120[t] + 0.0465497945074909compendiums_reviewed[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-0.4605461213285630.374688-1.22910.2200390.110019
time_in_rfc1.19304175617582e-064e-060.29980.7645150.382258
logins0.005488813438474740.0062240.88180.3786170.189308
blogged_computations-0.0185577663069140.007788-2.38270.0178460.008923
feedback_messages_p1200.02561120601897130.0100222.55550.0111250.005563
compendiums_reviewed0.04654979450749090.035931.29560.1961850.098093

\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) & -0.460546121328563 & 0.374688 & -1.2291 & 0.220039 & 0.110019 \tabularnewline
time_in_rfc & 1.19304175617582e-06 & 4e-06 & 0.2998 & 0.764515 & 0.382258 \tabularnewline
logins & 0.00548881343847474 & 0.006224 & 0.8818 & 0.378617 & 0.189308 \tabularnewline
blogged_computations & -0.018557766306914 & 0.007788 & -2.3827 & 0.017846 & 0.008923 \tabularnewline
feedback_messages_p120 & 0.0256112060189713 & 0.010022 & 2.5555 & 0.011125 & 0.005563 \tabularnewline
compendiums_reviewed & 0.0465497945074909 & 0.03593 & 1.2956 & 0.196185 & 0.098093 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155454&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]-0.460546121328563[/C][C]0.374688[/C][C]-1.2291[/C][C]0.220039[/C][C]0.110019[/C][/ROW]
[ROW][C]time_in_rfc[/C][C]1.19304175617582e-06[/C][C]4e-06[/C][C]0.2998[/C][C]0.764515[/C][C]0.382258[/C][/ROW]
[ROW][C]logins[/C][C]0.00548881343847474[/C][C]0.006224[/C][C]0.8818[/C][C]0.378617[/C][C]0.189308[/C][/ROW]
[ROW][C]blogged_computations[/C][C]-0.018557766306914[/C][C]0.007788[/C][C]-2.3827[/C][C]0.017846[/C][C]0.008923[/C][/ROW]
[ROW][C]feedback_messages_p120[/C][C]0.0256112060189713[/C][C]0.010022[/C][C]2.5555[/C][C]0.011125[/C][C]0.005563[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]0.0465497945074909[/C][C]0.03593[/C][C]1.2956[/C][C]0.196185[/C][C]0.098093[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155454&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155454&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)-0.4605461213285630.374688-1.22910.2200390.110019
time_in_rfc1.19304175617582e-064e-060.29980.7645150.382258
logins0.005488813438474740.0062240.88180.3786170.189308
blogged_computations-0.0185577663069140.007788-2.38270.0178460.008923
feedback_messages_p1200.02561120601897130.0100222.55550.0111250.005563
compendiums_reviewed0.04654979450749090.035931.29560.1961850.098093






Multiple Linear Regression - Regression Statistics
Multiple R0.430194658296618
R-squared0.185067444026944
Adjusted R-squared0.170669342331307
F-TEST (value)12.8536002828084
F-TEST (DF numerator)5
F-TEST (DF denominator)283
p-value2.83730816619254e-11
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.48792059780783
Sum Squared Residuals1751.698938982

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.430194658296618 \tabularnewline
R-squared & 0.185067444026944 \tabularnewline
Adjusted R-squared & 0.170669342331307 \tabularnewline
F-TEST (value) & 12.8536002828084 \tabularnewline
F-TEST (DF numerator) & 5 \tabularnewline
F-TEST (DF denominator) & 283 \tabularnewline
p-value & 2.83730816619254e-11 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.48792059780783 \tabularnewline
Sum Squared Residuals & 1751.698938982 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155454&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.430194658296618[/C][/ROW]
[ROW][C]R-squared[/C][C]0.185067444026944[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.170669342331307[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]12.8536002828084[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]5[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]283[/C][/ROW]
[ROW][C]p-value[/C][C]2.83730816619254e-11[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]2.48792059780783[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]1751.698938982[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155454&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155454&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 R0.430194658296618
R-squared0.185067444026944
Adjusted R-squared0.170669342331307
F-TEST (value)12.8536002828084
F-TEST (DF numerator)5
F-TEST (DF denominator)283
p-value2.83730816619254e-11
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.48792059780783
Sum Squared Residuals1751.698938982






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
132.436331951657620.563668048342376
242.856162029334471.14383797066553
3123.08369959128238.9163004087177
422.27210500948696-0.272105009486955
511.3269077020385-0.326907702038497
632.742681473627310.257318526372687
701.75325776271367-1.75325776271367
801.06061078286163-1.06061078286163
901.12063409676687-1.12063409676687
1052.752950532943442.24704946705656
1101.33790005718185-1.33790005718185
1203.75508398128989-3.75508398128989
1374.47193616343092.5280638365691
1472.885130119256924.11486988074308
1533.28540261425945-0.285402614259449
1692.322900261435286.67709973856472
1704.33062579410754-4.33062579410754
1842.554801051185191.44519894881481
1932.307608321532830.692391678467173
2001.16536820924076-1.16536820924076
2173.08992058030713.9100794196929
2202.91245372230994-2.91245372230994
2313.03975836480362-2.03975836480362
2452.291433457813192.70856654218681
2574.188108487679522.81189151232048
2602.62631022259801-2.62631022259801
2703.30442377591254-3.30442377591254
2852.770607090458042.22939290954196
2902.86786205249499-2.86786205249499
3002.27395584289002-2.27395584289002
3102.45575587327154-2.45575587327154
3233.41133969223928-0.411339692239283
3344.34601154563881-0.346011545638808
3414.19460139541935-3.19460139541935
3543.293760439030810.706239560969188
3623.03960440971415-1.03960440971415
3700.893835250542497-0.893835250542497
3802.57743098437896-2.57743098437896
3903.81466482618477-3.81466482618477
400-0.3586750252321750.358675025232175
4122.10287062295379-0.102870622953791
4210.8179729266954850.182027073304515
4301.05694996242972-1.05694996242972
4423.43928673623836-1.43928673623836
45102.040122048099997.95987795190001
4663.047796739950192.95220326004981
4702.1817883644426-2.1817883644426
4852.553681120220562.44631887977944
4942.487832385040761.51216761495924
5011.99157642111649-0.991576421116492
5123.61439833517026-1.61439833517026
5222.39347466178262-0.393474661782623
5303.78127312744524-3.78127312744524
5483.447171387471324.55282861252868
5532.81346771945860.186532280541397
5602.55723636021047-2.55723636021047
570-0.08294181509933780.0829418150993378
5885.288833129369062.71116687063094
5951.720812795334763.27918720466524
6031.15637446183321.8436255381668
6112.42393652920959-1.42393652920959
6254.577951767608520.422048232391476
6312.09987153027932-1.09987153027932
6411.39775452010317-0.397754520103169
6552.750770059343832.24922994065617
6602.94417626294785-2.94417626294785
67122.622189483367479.37781051663253
6883.223144959148924.77685504085108
6981.046696172616866.95330382738314
7082.726558732452845.27344126754716
7183.540876435457414.45912356454259
7223.21139719897805-1.21139719897805
7301.65853988608578-1.65853988608578
7452.952739657351532.04726034264847
7583.682226050925264.31777394907474
7621.622100216645640.377899783354356
7750.7429213299854624.25707867001454
78124.009625046398617.99037495360139
7962.181188436728723.81881156327128
8074.616849713342262.38315028665774
8121.853185865459790.146814134540209
8202.67091848084737-2.67091848084737
8342.542712063160671.45728793683933
8432.600748891810550.399251108189452
8563.132336408418622.86766359158138
8622.27905943891391-0.279059438913913
8702.90751995491214-2.90751995491214
8811.6936757290716-0.693675729071595
8902.86873779619736-2.86873779619736
9053.248253746793721.75174625320628
9121.790104631387490.209895368612511
920-0.07217510654562720.0721751065456272
9302.3719068840984-2.3719068840984
9452.794705396755422.20529460324458
9501.8458015342703-1.8458015342703
9613.70416170487304-2.70416170487304
9703.36188882420352-3.36188882420352
9812.73692769990099-1.73692769990099
9912.21477911502123-1.21477911502123
10022.35957948214656-0.359579482146563
10162.418753857083353.58124614291665
10212.86151095018146-1.86151095018146
10343.112388875440680.887611124559317
10422.69114653151611-0.691146531516112
10532.307107108220360.692892891779641
10601.47369542428592-1.47369542428592
107105.922823110004384.07717688999562
10801.04107863880703-1.04107863880703
10991.296906581352577.70309341864743
11074.061046450995662.93895354900434
11102.17412831856088-2.17412831856088
11202.54919434425621-2.54919434425621
11341.950252784176282.04974721582372
11440.4117610941360983.5882389058639
11501.88760979615052-1.88760979615052
11601.76542969759958-1.76542969759958
11701.62320226324537-1.62320226324537
11811.71949589803984-0.719495898039835
11902.25076267430268-2.25076267430268
12011.08391524171601-0.0839152417160134
12101.32639300307999-1.32639300307999
12200.733116742912192-0.733116742912192
12341.870792179416932.12920782058307
12402.29288879469153-2.29288879469153
12543.442392619224290.557607380775708
12640.7509664174131383.24903358258686
12731.164486117296621.83551388270338
12802.04846741200699-2.04846741200699
12902.52381953647317-2.52381953647317
1300-0.5544353963161320.554435396316132
13150.8916030357349014.1083969642651
13201.72633489618489-1.72633489618489
13340.6040274936375913.39597250636241
13402.41702750371389-2.41702750371389
13502.79064713713734-2.79064713713734
13611.78061776122577-0.780617761225774
1370-0.4218378704060980.421837870406098
13851.523380428183223.47661957181678
13900.770329245141938-0.770329245141938
1400-0.04992103556281880.0499210355628188
14101.03267154625934-1.03267154625934
14201.33538923772393-1.33538923772393
14301.80394706643688-1.80394706643688
14423.01565774496014-1.01565774496014
14574.288397450901832.71160254909817
14611.57868922086236-0.578689220862361
14784.292340331927153.70765966807285
14822.208345309475-0.208345309475003
14900.384973854797782-0.384973854797782
15023.80962528248531-1.80962528248531
15104.2600483709908-4.2600483709908
15204.738606272503-4.738606272503
15310.7984835903340270.201516409665972
15433.49027549161297-0.490275491612967
15502.72370389794801-2.72370389794801
15634.14840624367411-1.14840624367411
15703.15496086527635-3.15496086527635
15800.896243992494474-0.896243992494474
15902.52973681061527-2.52973681061527
16044.49032394489818-0.49032394489818
16144.43207912570197-0.432079125701975
162113.522508850393547.47749114960646
16301.8417744408674-1.8417744408674
16403.56208752949388-3.56208752949388
16542.713584087363841.28641591263616
16602.90651608138993-2.90651608138993
16712.58928478807806-1.58928478807806
16802.05073291421067-2.05073291421067
16901.3128559242072-1.3128559242072
17001.921675728903-1.921675728903
17192.657109127427416.3428908725726
17212.03387705001916-1.03387705001916
17332.306306875523970.693693124476033
174102.883661337692627.11633866230738
17553.104692533469731.89530746653027
17601.02061926126164-1.02061926126164
17722.72589840424978-0.725898404249777
17801.60801955261254-1.60801955261254
17913.02771424531839-2.02771424531839
18020.8150902020879431.18490979791206
18140.3214848950931023.6785151049069
18200.994194639657393-0.994194639657393
1830-0.4623656548567610.462365654856761
18422.53426343084883-0.534263430848828
18512.33124680945634-1.33124680945634
1860-0.5544177106818780.554417710681878
18700.047898930885209-0.047898930885209
1880-0.2631731318571960.263173131857196
18911.41416285723959-0.414162857239586
19001.87197728268945-1.87197728268945
19121.426629583686830.57337041631317
19201.61841659334632-1.61841659334632
19330.4226417954099082.57735820459009
19462.509080722300663.49091927769934
19502.18709171477208-2.18709171477208
19620.5912083779571031.4087916220429
19702.14812177594781-2.14812177594781
19821.202705474109030.797294525890967
19911.31727257287004-0.317272572870039
20011.35604553185476-0.356045531854756
20121.539904102709950.460095897290051
20211.66826680753342-0.668266807533418
20301.59265665025248-1.59265665025248
20412.04596733037854-1.04596733037854
20531.571017063490951.42898293650905
20601.44816524806646-1.44816524806646
20701.39135408615532-1.39135408615532
20801.74004083970104-1.74004083970104
20901.61730415836957-1.61730415836957
21012.33569519424766-1.33569519424766
21140.3555254843135533.64447451568645
21201.3353792209365-1.3353792209365
21301.40111714126428-1.40111714126428
21401.59735895552028-1.59735895552028
21572.440346799107084.55965320089292
21622.76280061969739-0.762800619697387
21701.07744018867427-1.07744018867427
21871.215393917117195.78460608288281
21931.006525341521871.99347465847813
22001.70422806405238-1.70422806405238
22101.93502124388324-1.93502124388324
22262.548864680879843.45113531912016
22320.9272880154356731.07271198456433
22401.60673909599722-1.60673909599722
22501.40188555966282-1.40188555966282
22630.6489933748387122.35100662516129
2270-0.2048907551856720.204890755185672
22811.54783604463149-0.547836044631486
22910.6169715931991770.383028406800823
23002.23790254037687-2.23790254037687
23111.69867748603608-0.698677486036085
23200.834694541339075-0.834694541339075
23301.34783369283241-1.34783369283241
23401.12541527140747-1.12541527140747
23501.47951193464472-1.47951193464472
23601.24169015441713-1.24169015441713
23701.81340064306563-1.81340064306563
23800.395063022326973-0.395063022326973
23901.0180836656303-1.0180836656303
24001.30456824351752-1.30456824351752
24101.05057861608282-1.05057861608282
24202.96471614347782-2.96471614347782
24301.13933605675565-1.13933605675565
24421.180128167579790.819871832420214
24501.26892235964911-1.26892235964911
24611.15431936219187-0.154319362191866
24710.8975112333796260.102488766620374
24801.6185309124302-1.6185309124302
24900.85539314913811-0.85539314913811
2500-0.1574351563608360.157435156360836
25102.48317215730403-2.48317215730403
25201.7830305007374-1.7830305007374
2530-0.5717861760474860.571786176047486
25412.2069031423599-1.2069031423599
25501.66847619980597-1.66847619980597
2560-0.1792869657118120.179286965711812
25700.271911206862347-0.271911206862347
25801.14531161363453-1.14531161363453
25911.2988739447418-0.298873944741805
26000.355168091956669-0.355168091956669
26100.825270345159634-0.825270345159634
26201.50737525132627-1.50737525132627
26300.285538105910743-0.285538105910743
26400.488298641217356-0.488298641217356
26501.52124764485323-1.52124764485323
26600.625674804768517-0.625674804768517
26701.50886760068829-1.50886760068829
26800.514342198366629-0.514342198366629
26901.48285584707045-1.48285584707045
27001.30360894265101-1.30360894265101
27111.7776742679792-0.7776742679792
27201.71298893738399-1.71298893738399
2730-0.3109896749459440.310989674945944
27411.15640402377898-0.156404023778979
27500.42226863855399-0.42226863855399
27660.9533845318203085.04661546817969
27731.04606140105691.9539385989431
2781-0.361134332776081.36113433277608
27921.033028819368120.966971180631877
28001.8389413829491-1.8389413829491
28101.82300122944587-1.82300122944587
28200.978491288670637-0.978491288670637
28330.3701324885262192.62986751147378
2841-0.1076920720029521.10769207200295
28501.70645378678908-1.70645378678908
28601.31563750372129-1.31563750372129
28710.8879062570950160.112093742904984
28801.29127679495815-1.29127679495815
28901.13098627023649-1.13098627023649

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 3 & 2.43633195165762 & 0.563668048342376 \tabularnewline
2 & 4 & 2.85616202933447 & 1.14383797066553 \tabularnewline
3 & 12 & 3.0836995912823 & 8.9163004087177 \tabularnewline
4 & 2 & 2.27210500948696 & -0.272105009486955 \tabularnewline
5 & 1 & 1.3269077020385 & -0.326907702038497 \tabularnewline
6 & 3 & 2.74268147362731 & 0.257318526372687 \tabularnewline
7 & 0 & 1.75325776271367 & -1.75325776271367 \tabularnewline
8 & 0 & 1.06061078286163 & -1.06061078286163 \tabularnewline
9 & 0 & 1.12063409676687 & -1.12063409676687 \tabularnewline
10 & 5 & 2.75295053294344 & 2.24704946705656 \tabularnewline
11 & 0 & 1.33790005718185 & -1.33790005718185 \tabularnewline
12 & 0 & 3.75508398128989 & -3.75508398128989 \tabularnewline
13 & 7 & 4.4719361634309 & 2.5280638365691 \tabularnewline
14 & 7 & 2.88513011925692 & 4.11486988074308 \tabularnewline
15 & 3 & 3.28540261425945 & -0.285402614259449 \tabularnewline
16 & 9 & 2.32290026143528 & 6.67709973856472 \tabularnewline
17 & 0 & 4.33062579410754 & -4.33062579410754 \tabularnewline
18 & 4 & 2.55480105118519 & 1.44519894881481 \tabularnewline
19 & 3 & 2.30760832153283 & 0.692391678467173 \tabularnewline
20 & 0 & 1.16536820924076 & -1.16536820924076 \tabularnewline
21 & 7 & 3.0899205803071 & 3.9100794196929 \tabularnewline
22 & 0 & 2.91245372230994 & -2.91245372230994 \tabularnewline
23 & 1 & 3.03975836480362 & -2.03975836480362 \tabularnewline
24 & 5 & 2.29143345781319 & 2.70856654218681 \tabularnewline
25 & 7 & 4.18810848767952 & 2.81189151232048 \tabularnewline
26 & 0 & 2.62631022259801 & -2.62631022259801 \tabularnewline
27 & 0 & 3.30442377591254 & -3.30442377591254 \tabularnewline
28 & 5 & 2.77060709045804 & 2.22939290954196 \tabularnewline
29 & 0 & 2.86786205249499 & -2.86786205249499 \tabularnewline
30 & 0 & 2.27395584289002 & -2.27395584289002 \tabularnewline
31 & 0 & 2.45575587327154 & -2.45575587327154 \tabularnewline
32 & 3 & 3.41133969223928 & -0.411339692239283 \tabularnewline
33 & 4 & 4.34601154563881 & -0.346011545638808 \tabularnewline
34 & 1 & 4.19460139541935 & -3.19460139541935 \tabularnewline
35 & 4 & 3.29376043903081 & 0.706239560969188 \tabularnewline
36 & 2 & 3.03960440971415 & -1.03960440971415 \tabularnewline
37 & 0 & 0.893835250542497 & -0.893835250542497 \tabularnewline
38 & 0 & 2.57743098437896 & -2.57743098437896 \tabularnewline
39 & 0 & 3.81466482618477 & -3.81466482618477 \tabularnewline
40 & 0 & -0.358675025232175 & 0.358675025232175 \tabularnewline
41 & 2 & 2.10287062295379 & -0.102870622953791 \tabularnewline
42 & 1 & 0.817972926695485 & 0.182027073304515 \tabularnewline
43 & 0 & 1.05694996242972 & -1.05694996242972 \tabularnewline
44 & 2 & 3.43928673623836 & -1.43928673623836 \tabularnewline
45 & 10 & 2.04012204809999 & 7.95987795190001 \tabularnewline
46 & 6 & 3.04779673995019 & 2.95220326004981 \tabularnewline
47 & 0 & 2.1817883644426 & -2.1817883644426 \tabularnewline
48 & 5 & 2.55368112022056 & 2.44631887977944 \tabularnewline
49 & 4 & 2.48783238504076 & 1.51216761495924 \tabularnewline
50 & 1 & 1.99157642111649 & -0.991576421116492 \tabularnewline
51 & 2 & 3.61439833517026 & -1.61439833517026 \tabularnewline
52 & 2 & 2.39347466178262 & -0.393474661782623 \tabularnewline
53 & 0 & 3.78127312744524 & -3.78127312744524 \tabularnewline
54 & 8 & 3.44717138747132 & 4.55282861252868 \tabularnewline
55 & 3 & 2.8134677194586 & 0.186532280541397 \tabularnewline
56 & 0 & 2.55723636021047 & -2.55723636021047 \tabularnewline
57 & 0 & -0.0829418150993378 & 0.0829418150993378 \tabularnewline
58 & 8 & 5.28883312936906 & 2.71116687063094 \tabularnewline
59 & 5 & 1.72081279533476 & 3.27918720466524 \tabularnewline
60 & 3 & 1.1563744618332 & 1.8436255381668 \tabularnewline
61 & 1 & 2.42393652920959 & -1.42393652920959 \tabularnewline
62 & 5 & 4.57795176760852 & 0.422048232391476 \tabularnewline
63 & 1 & 2.09987153027932 & -1.09987153027932 \tabularnewline
64 & 1 & 1.39775452010317 & -0.397754520103169 \tabularnewline
65 & 5 & 2.75077005934383 & 2.24922994065617 \tabularnewline
66 & 0 & 2.94417626294785 & -2.94417626294785 \tabularnewline
67 & 12 & 2.62218948336747 & 9.37781051663253 \tabularnewline
68 & 8 & 3.22314495914892 & 4.77685504085108 \tabularnewline
69 & 8 & 1.04669617261686 & 6.95330382738314 \tabularnewline
70 & 8 & 2.72655873245284 & 5.27344126754716 \tabularnewline
71 & 8 & 3.54087643545741 & 4.45912356454259 \tabularnewline
72 & 2 & 3.21139719897805 & -1.21139719897805 \tabularnewline
73 & 0 & 1.65853988608578 & -1.65853988608578 \tabularnewline
74 & 5 & 2.95273965735153 & 2.04726034264847 \tabularnewline
75 & 8 & 3.68222605092526 & 4.31777394907474 \tabularnewline
76 & 2 & 1.62210021664564 & 0.377899783354356 \tabularnewline
77 & 5 & 0.742921329985462 & 4.25707867001454 \tabularnewline
78 & 12 & 4.00962504639861 & 7.99037495360139 \tabularnewline
79 & 6 & 2.18118843672872 & 3.81881156327128 \tabularnewline
80 & 7 & 4.61684971334226 & 2.38315028665774 \tabularnewline
81 & 2 & 1.85318586545979 & 0.146814134540209 \tabularnewline
82 & 0 & 2.67091848084737 & -2.67091848084737 \tabularnewline
83 & 4 & 2.54271206316067 & 1.45728793683933 \tabularnewline
84 & 3 & 2.60074889181055 & 0.399251108189452 \tabularnewline
85 & 6 & 3.13233640841862 & 2.86766359158138 \tabularnewline
86 & 2 & 2.27905943891391 & -0.279059438913913 \tabularnewline
87 & 0 & 2.90751995491214 & -2.90751995491214 \tabularnewline
88 & 1 & 1.6936757290716 & -0.693675729071595 \tabularnewline
89 & 0 & 2.86873779619736 & -2.86873779619736 \tabularnewline
90 & 5 & 3.24825374679372 & 1.75174625320628 \tabularnewline
91 & 2 & 1.79010463138749 & 0.209895368612511 \tabularnewline
92 & 0 & -0.0721751065456272 & 0.0721751065456272 \tabularnewline
93 & 0 & 2.3719068840984 & -2.3719068840984 \tabularnewline
94 & 5 & 2.79470539675542 & 2.20529460324458 \tabularnewline
95 & 0 & 1.8458015342703 & -1.8458015342703 \tabularnewline
96 & 1 & 3.70416170487304 & -2.70416170487304 \tabularnewline
97 & 0 & 3.36188882420352 & -3.36188882420352 \tabularnewline
98 & 1 & 2.73692769990099 & -1.73692769990099 \tabularnewline
99 & 1 & 2.21477911502123 & -1.21477911502123 \tabularnewline
100 & 2 & 2.35957948214656 & -0.359579482146563 \tabularnewline
101 & 6 & 2.41875385708335 & 3.58124614291665 \tabularnewline
102 & 1 & 2.86151095018146 & -1.86151095018146 \tabularnewline
103 & 4 & 3.11238887544068 & 0.887611124559317 \tabularnewline
104 & 2 & 2.69114653151611 & -0.691146531516112 \tabularnewline
105 & 3 & 2.30710710822036 & 0.692892891779641 \tabularnewline
106 & 0 & 1.47369542428592 & -1.47369542428592 \tabularnewline
107 & 10 & 5.92282311000438 & 4.07717688999562 \tabularnewline
108 & 0 & 1.04107863880703 & -1.04107863880703 \tabularnewline
109 & 9 & 1.29690658135257 & 7.70309341864743 \tabularnewline
110 & 7 & 4.06104645099566 & 2.93895354900434 \tabularnewline
111 & 0 & 2.17412831856088 & -2.17412831856088 \tabularnewline
112 & 0 & 2.54919434425621 & -2.54919434425621 \tabularnewline
113 & 4 & 1.95025278417628 & 2.04974721582372 \tabularnewline
114 & 4 & 0.411761094136098 & 3.5882389058639 \tabularnewline
115 & 0 & 1.88760979615052 & -1.88760979615052 \tabularnewline
116 & 0 & 1.76542969759958 & -1.76542969759958 \tabularnewline
117 & 0 & 1.62320226324537 & -1.62320226324537 \tabularnewline
118 & 1 & 1.71949589803984 & -0.719495898039835 \tabularnewline
119 & 0 & 2.25076267430268 & -2.25076267430268 \tabularnewline
120 & 1 & 1.08391524171601 & -0.0839152417160134 \tabularnewline
121 & 0 & 1.32639300307999 & -1.32639300307999 \tabularnewline
122 & 0 & 0.733116742912192 & -0.733116742912192 \tabularnewline
123 & 4 & 1.87079217941693 & 2.12920782058307 \tabularnewline
124 & 0 & 2.29288879469153 & -2.29288879469153 \tabularnewline
125 & 4 & 3.44239261922429 & 0.557607380775708 \tabularnewline
126 & 4 & 0.750966417413138 & 3.24903358258686 \tabularnewline
127 & 3 & 1.16448611729662 & 1.83551388270338 \tabularnewline
128 & 0 & 2.04846741200699 & -2.04846741200699 \tabularnewline
129 & 0 & 2.52381953647317 & -2.52381953647317 \tabularnewline
130 & 0 & -0.554435396316132 & 0.554435396316132 \tabularnewline
131 & 5 & 0.891603035734901 & 4.1083969642651 \tabularnewline
132 & 0 & 1.72633489618489 & -1.72633489618489 \tabularnewline
133 & 4 & 0.604027493637591 & 3.39597250636241 \tabularnewline
134 & 0 & 2.41702750371389 & -2.41702750371389 \tabularnewline
135 & 0 & 2.79064713713734 & -2.79064713713734 \tabularnewline
136 & 1 & 1.78061776122577 & -0.780617761225774 \tabularnewline
137 & 0 & -0.421837870406098 & 0.421837870406098 \tabularnewline
138 & 5 & 1.52338042818322 & 3.47661957181678 \tabularnewline
139 & 0 & 0.770329245141938 & -0.770329245141938 \tabularnewline
140 & 0 & -0.0499210355628188 & 0.0499210355628188 \tabularnewline
141 & 0 & 1.03267154625934 & -1.03267154625934 \tabularnewline
142 & 0 & 1.33538923772393 & -1.33538923772393 \tabularnewline
143 & 0 & 1.80394706643688 & -1.80394706643688 \tabularnewline
144 & 2 & 3.01565774496014 & -1.01565774496014 \tabularnewline
145 & 7 & 4.28839745090183 & 2.71160254909817 \tabularnewline
146 & 1 & 1.57868922086236 & -0.578689220862361 \tabularnewline
147 & 8 & 4.29234033192715 & 3.70765966807285 \tabularnewline
148 & 2 & 2.208345309475 & -0.208345309475003 \tabularnewline
149 & 0 & 0.384973854797782 & -0.384973854797782 \tabularnewline
150 & 2 & 3.80962528248531 & -1.80962528248531 \tabularnewline
151 & 0 & 4.2600483709908 & -4.2600483709908 \tabularnewline
152 & 0 & 4.738606272503 & -4.738606272503 \tabularnewline
153 & 1 & 0.798483590334027 & 0.201516409665972 \tabularnewline
154 & 3 & 3.49027549161297 & -0.490275491612967 \tabularnewline
155 & 0 & 2.72370389794801 & -2.72370389794801 \tabularnewline
156 & 3 & 4.14840624367411 & -1.14840624367411 \tabularnewline
157 & 0 & 3.15496086527635 & -3.15496086527635 \tabularnewline
158 & 0 & 0.896243992494474 & -0.896243992494474 \tabularnewline
159 & 0 & 2.52973681061527 & -2.52973681061527 \tabularnewline
160 & 4 & 4.49032394489818 & -0.49032394489818 \tabularnewline
161 & 4 & 4.43207912570197 & -0.432079125701975 \tabularnewline
162 & 11 & 3.52250885039354 & 7.47749114960646 \tabularnewline
163 & 0 & 1.8417744408674 & -1.8417744408674 \tabularnewline
164 & 0 & 3.56208752949388 & -3.56208752949388 \tabularnewline
165 & 4 & 2.71358408736384 & 1.28641591263616 \tabularnewline
166 & 0 & 2.90651608138993 & -2.90651608138993 \tabularnewline
167 & 1 & 2.58928478807806 & -1.58928478807806 \tabularnewline
168 & 0 & 2.05073291421067 & -2.05073291421067 \tabularnewline
169 & 0 & 1.3128559242072 & -1.3128559242072 \tabularnewline
170 & 0 & 1.921675728903 & -1.921675728903 \tabularnewline
171 & 9 & 2.65710912742741 & 6.3428908725726 \tabularnewline
172 & 1 & 2.03387705001916 & -1.03387705001916 \tabularnewline
173 & 3 & 2.30630687552397 & 0.693693124476033 \tabularnewline
174 & 10 & 2.88366133769262 & 7.11633866230738 \tabularnewline
175 & 5 & 3.10469253346973 & 1.89530746653027 \tabularnewline
176 & 0 & 1.02061926126164 & -1.02061926126164 \tabularnewline
177 & 2 & 2.72589840424978 & -0.725898404249777 \tabularnewline
178 & 0 & 1.60801955261254 & -1.60801955261254 \tabularnewline
179 & 1 & 3.02771424531839 & -2.02771424531839 \tabularnewline
180 & 2 & 0.815090202087943 & 1.18490979791206 \tabularnewline
181 & 4 & 0.321484895093102 & 3.6785151049069 \tabularnewline
182 & 0 & 0.994194639657393 & -0.994194639657393 \tabularnewline
183 & 0 & -0.462365654856761 & 0.462365654856761 \tabularnewline
184 & 2 & 2.53426343084883 & -0.534263430848828 \tabularnewline
185 & 1 & 2.33124680945634 & -1.33124680945634 \tabularnewline
186 & 0 & -0.554417710681878 & 0.554417710681878 \tabularnewline
187 & 0 & 0.047898930885209 & -0.047898930885209 \tabularnewline
188 & 0 & -0.263173131857196 & 0.263173131857196 \tabularnewline
189 & 1 & 1.41416285723959 & -0.414162857239586 \tabularnewline
190 & 0 & 1.87197728268945 & -1.87197728268945 \tabularnewline
191 & 2 & 1.42662958368683 & 0.57337041631317 \tabularnewline
192 & 0 & 1.61841659334632 & -1.61841659334632 \tabularnewline
193 & 3 & 0.422641795409908 & 2.57735820459009 \tabularnewline
194 & 6 & 2.50908072230066 & 3.49091927769934 \tabularnewline
195 & 0 & 2.18709171477208 & -2.18709171477208 \tabularnewline
196 & 2 & 0.591208377957103 & 1.4087916220429 \tabularnewline
197 & 0 & 2.14812177594781 & -2.14812177594781 \tabularnewline
198 & 2 & 1.20270547410903 & 0.797294525890967 \tabularnewline
199 & 1 & 1.31727257287004 & -0.317272572870039 \tabularnewline
200 & 1 & 1.35604553185476 & -0.356045531854756 \tabularnewline
201 & 2 & 1.53990410270995 & 0.460095897290051 \tabularnewline
202 & 1 & 1.66826680753342 & -0.668266807533418 \tabularnewline
203 & 0 & 1.59265665025248 & -1.59265665025248 \tabularnewline
204 & 1 & 2.04596733037854 & -1.04596733037854 \tabularnewline
205 & 3 & 1.57101706349095 & 1.42898293650905 \tabularnewline
206 & 0 & 1.44816524806646 & -1.44816524806646 \tabularnewline
207 & 0 & 1.39135408615532 & -1.39135408615532 \tabularnewline
208 & 0 & 1.74004083970104 & -1.74004083970104 \tabularnewline
209 & 0 & 1.61730415836957 & -1.61730415836957 \tabularnewline
210 & 1 & 2.33569519424766 & -1.33569519424766 \tabularnewline
211 & 4 & 0.355525484313553 & 3.64447451568645 \tabularnewline
212 & 0 & 1.3353792209365 & -1.3353792209365 \tabularnewline
213 & 0 & 1.40111714126428 & -1.40111714126428 \tabularnewline
214 & 0 & 1.59735895552028 & -1.59735895552028 \tabularnewline
215 & 7 & 2.44034679910708 & 4.55965320089292 \tabularnewline
216 & 2 & 2.76280061969739 & -0.762800619697387 \tabularnewline
217 & 0 & 1.07744018867427 & -1.07744018867427 \tabularnewline
218 & 7 & 1.21539391711719 & 5.78460608288281 \tabularnewline
219 & 3 & 1.00652534152187 & 1.99347465847813 \tabularnewline
220 & 0 & 1.70422806405238 & -1.70422806405238 \tabularnewline
221 & 0 & 1.93502124388324 & -1.93502124388324 \tabularnewline
222 & 6 & 2.54886468087984 & 3.45113531912016 \tabularnewline
223 & 2 & 0.927288015435673 & 1.07271198456433 \tabularnewline
224 & 0 & 1.60673909599722 & -1.60673909599722 \tabularnewline
225 & 0 & 1.40188555966282 & -1.40188555966282 \tabularnewline
226 & 3 & 0.648993374838712 & 2.35100662516129 \tabularnewline
227 & 0 & -0.204890755185672 & 0.204890755185672 \tabularnewline
228 & 1 & 1.54783604463149 & -0.547836044631486 \tabularnewline
229 & 1 & 0.616971593199177 & 0.383028406800823 \tabularnewline
230 & 0 & 2.23790254037687 & -2.23790254037687 \tabularnewline
231 & 1 & 1.69867748603608 & -0.698677486036085 \tabularnewline
232 & 0 & 0.834694541339075 & -0.834694541339075 \tabularnewline
233 & 0 & 1.34783369283241 & -1.34783369283241 \tabularnewline
234 & 0 & 1.12541527140747 & -1.12541527140747 \tabularnewline
235 & 0 & 1.47951193464472 & -1.47951193464472 \tabularnewline
236 & 0 & 1.24169015441713 & -1.24169015441713 \tabularnewline
237 & 0 & 1.81340064306563 & -1.81340064306563 \tabularnewline
238 & 0 & 0.395063022326973 & -0.395063022326973 \tabularnewline
239 & 0 & 1.0180836656303 & -1.0180836656303 \tabularnewline
240 & 0 & 1.30456824351752 & -1.30456824351752 \tabularnewline
241 & 0 & 1.05057861608282 & -1.05057861608282 \tabularnewline
242 & 0 & 2.96471614347782 & -2.96471614347782 \tabularnewline
243 & 0 & 1.13933605675565 & -1.13933605675565 \tabularnewline
244 & 2 & 1.18012816757979 & 0.819871832420214 \tabularnewline
245 & 0 & 1.26892235964911 & -1.26892235964911 \tabularnewline
246 & 1 & 1.15431936219187 & -0.154319362191866 \tabularnewline
247 & 1 & 0.897511233379626 & 0.102488766620374 \tabularnewline
248 & 0 & 1.6185309124302 & -1.6185309124302 \tabularnewline
249 & 0 & 0.85539314913811 & -0.85539314913811 \tabularnewline
250 & 0 & -0.157435156360836 & 0.157435156360836 \tabularnewline
251 & 0 & 2.48317215730403 & -2.48317215730403 \tabularnewline
252 & 0 & 1.7830305007374 & -1.7830305007374 \tabularnewline
253 & 0 & -0.571786176047486 & 0.571786176047486 \tabularnewline
254 & 1 & 2.2069031423599 & -1.2069031423599 \tabularnewline
255 & 0 & 1.66847619980597 & -1.66847619980597 \tabularnewline
256 & 0 & -0.179286965711812 & 0.179286965711812 \tabularnewline
257 & 0 & 0.271911206862347 & -0.271911206862347 \tabularnewline
258 & 0 & 1.14531161363453 & -1.14531161363453 \tabularnewline
259 & 1 & 1.2988739447418 & -0.298873944741805 \tabularnewline
260 & 0 & 0.355168091956669 & -0.355168091956669 \tabularnewline
261 & 0 & 0.825270345159634 & -0.825270345159634 \tabularnewline
262 & 0 & 1.50737525132627 & -1.50737525132627 \tabularnewline
263 & 0 & 0.285538105910743 & -0.285538105910743 \tabularnewline
264 & 0 & 0.488298641217356 & -0.488298641217356 \tabularnewline
265 & 0 & 1.52124764485323 & -1.52124764485323 \tabularnewline
266 & 0 & 0.625674804768517 & -0.625674804768517 \tabularnewline
267 & 0 & 1.50886760068829 & -1.50886760068829 \tabularnewline
268 & 0 & 0.514342198366629 & -0.514342198366629 \tabularnewline
269 & 0 & 1.48285584707045 & -1.48285584707045 \tabularnewline
270 & 0 & 1.30360894265101 & -1.30360894265101 \tabularnewline
271 & 1 & 1.7776742679792 & -0.7776742679792 \tabularnewline
272 & 0 & 1.71298893738399 & -1.71298893738399 \tabularnewline
273 & 0 & -0.310989674945944 & 0.310989674945944 \tabularnewline
274 & 1 & 1.15640402377898 & -0.156404023778979 \tabularnewline
275 & 0 & 0.42226863855399 & -0.42226863855399 \tabularnewline
276 & 6 & 0.953384531820308 & 5.04661546817969 \tabularnewline
277 & 3 & 1.0460614010569 & 1.9539385989431 \tabularnewline
278 & 1 & -0.36113433277608 & 1.36113433277608 \tabularnewline
279 & 2 & 1.03302881936812 & 0.966971180631877 \tabularnewline
280 & 0 & 1.8389413829491 & -1.8389413829491 \tabularnewline
281 & 0 & 1.82300122944587 & -1.82300122944587 \tabularnewline
282 & 0 & 0.978491288670637 & -0.978491288670637 \tabularnewline
283 & 3 & 0.370132488526219 & 2.62986751147378 \tabularnewline
284 & 1 & -0.107692072002952 & 1.10769207200295 \tabularnewline
285 & 0 & 1.70645378678908 & -1.70645378678908 \tabularnewline
286 & 0 & 1.31563750372129 & -1.31563750372129 \tabularnewline
287 & 1 & 0.887906257095016 & 0.112093742904984 \tabularnewline
288 & 0 & 1.29127679495815 & -1.29127679495815 \tabularnewline
289 & 0 & 1.13098627023649 & -1.13098627023649 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155454&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]3[/C][C]2.43633195165762[/C][C]0.563668048342376[/C][/ROW]
[ROW][C]2[/C][C]4[/C][C]2.85616202933447[/C][C]1.14383797066553[/C][/ROW]
[ROW][C]3[/C][C]12[/C][C]3.0836995912823[/C][C]8.9163004087177[/C][/ROW]
[ROW][C]4[/C][C]2[/C][C]2.27210500948696[/C][C]-0.272105009486955[/C][/ROW]
[ROW][C]5[/C][C]1[/C][C]1.3269077020385[/C][C]-0.326907702038497[/C][/ROW]
[ROW][C]6[/C][C]3[/C][C]2.74268147362731[/C][C]0.257318526372687[/C][/ROW]
[ROW][C]7[/C][C]0[/C][C]1.75325776271367[/C][C]-1.75325776271367[/C][/ROW]
[ROW][C]8[/C][C]0[/C][C]1.06061078286163[/C][C]-1.06061078286163[/C][/ROW]
[ROW][C]9[/C][C]0[/C][C]1.12063409676687[/C][C]-1.12063409676687[/C][/ROW]
[ROW][C]10[/C][C]5[/C][C]2.75295053294344[/C][C]2.24704946705656[/C][/ROW]
[ROW][C]11[/C][C]0[/C][C]1.33790005718185[/C][C]-1.33790005718185[/C][/ROW]
[ROW][C]12[/C][C]0[/C][C]3.75508398128989[/C][C]-3.75508398128989[/C][/ROW]
[ROW][C]13[/C][C]7[/C][C]4.4719361634309[/C][C]2.5280638365691[/C][/ROW]
[ROW][C]14[/C][C]7[/C][C]2.88513011925692[/C][C]4.11486988074308[/C][/ROW]
[ROW][C]15[/C][C]3[/C][C]3.28540261425945[/C][C]-0.285402614259449[/C][/ROW]
[ROW][C]16[/C][C]9[/C][C]2.32290026143528[/C][C]6.67709973856472[/C][/ROW]
[ROW][C]17[/C][C]0[/C][C]4.33062579410754[/C][C]-4.33062579410754[/C][/ROW]
[ROW][C]18[/C][C]4[/C][C]2.55480105118519[/C][C]1.44519894881481[/C][/ROW]
[ROW][C]19[/C][C]3[/C][C]2.30760832153283[/C][C]0.692391678467173[/C][/ROW]
[ROW][C]20[/C][C]0[/C][C]1.16536820924076[/C][C]-1.16536820924076[/C][/ROW]
[ROW][C]21[/C][C]7[/C][C]3.0899205803071[/C][C]3.9100794196929[/C][/ROW]
[ROW][C]22[/C][C]0[/C][C]2.91245372230994[/C][C]-2.91245372230994[/C][/ROW]
[ROW][C]23[/C][C]1[/C][C]3.03975836480362[/C][C]-2.03975836480362[/C][/ROW]
[ROW][C]24[/C][C]5[/C][C]2.29143345781319[/C][C]2.70856654218681[/C][/ROW]
[ROW][C]25[/C][C]7[/C][C]4.18810848767952[/C][C]2.81189151232048[/C][/ROW]
[ROW][C]26[/C][C]0[/C][C]2.62631022259801[/C][C]-2.62631022259801[/C][/ROW]
[ROW][C]27[/C][C]0[/C][C]3.30442377591254[/C][C]-3.30442377591254[/C][/ROW]
[ROW][C]28[/C][C]5[/C][C]2.77060709045804[/C][C]2.22939290954196[/C][/ROW]
[ROW][C]29[/C][C]0[/C][C]2.86786205249499[/C][C]-2.86786205249499[/C][/ROW]
[ROW][C]30[/C][C]0[/C][C]2.27395584289002[/C][C]-2.27395584289002[/C][/ROW]
[ROW][C]31[/C][C]0[/C][C]2.45575587327154[/C][C]-2.45575587327154[/C][/ROW]
[ROW][C]32[/C][C]3[/C][C]3.41133969223928[/C][C]-0.411339692239283[/C][/ROW]
[ROW][C]33[/C][C]4[/C][C]4.34601154563881[/C][C]-0.346011545638808[/C][/ROW]
[ROW][C]34[/C][C]1[/C][C]4.19460139541935[/C][C]-3.19460139541935[/C][/ROW]
[ROW][C]35[/C][C]4[/C][C]3.29376043903081[/C][C]0.706239560969188[/C][/ROW]
[ROW][C]36[/C][C]2[/C][C]3.03960440971415[/C][C]-1.03960440971415[/C][/ROW]
[ROW][C]37[/C][C]0[/C][C]0.893835250542497[/C][C]-0.893835250542497[/C][/ROW]
[ROW][C]38[/C][C]0[/C][C]2.57743098437896[/C][C]-2.57743098437896[/C][/ROW]
[ROW][C]39[/C][C]0[/C][C]3.81466482618477[/C][C]-3.81466482618477[/C][/ROW]
[ROW][C]40[/C][C]0[/C][C]-0.358675025232175[/C][C]0.358675025232175[/C][/ROW]
[ROW][C]41[/C][C]2[/C][C]2.10287062295379[/C][C]-0.102870622953791[/C][/ROW]
[ROW][C]42[/C][C]1[/C][C]0.817972926695485[/C][C]0.182027073304515[/C][/ROW]
[ROW][C]43[/C][C]0[/C][C]1.05694996242972[/C][C]-1.05694996242972[/C][/ROW]
[ROW][C]44[/C][C]2[/C][C]3.43928673623836[/C][C]-1.43928673623836[/C][/ROW]
[ROW][C]45[/C][C]10[/C][C]2.04012204809999[/C][C]7.95987795190001[/C][/ROW]
[ROW][C]46[/C][C]6[/C][C]3.04779673995019[/C][C]2.95220326004981[/C][/ROW]
[ROW][C]47[/C][C]0[/C][C]2.1817883644426[/C][C]-2.1817883644426[/C][/ROW]
[ROW][C]48[/C][C]5[/C][C]2.55368112022056[/C][C]2.44631887977944[/C][/ROW]
[ROW][C]49[/C][C]4[/C][C]2.48783238504076[/C][C]1.51216761495924[/C][/ROW]
[ROW][C]50[/C][C]1[/C][C]1.99157642111649[/C][C]-0.991576421116492[/C][/ROW]
[ROW][C]51[/C][C]2[/C][C]3.61439833517026[/C][C]-1.61439833517026[/C][/ROW]
[ROW][C]52[/C][C]2[/C][C]2.39347466178262[/C][C]-0.393474661782623[/C][/ROW]
[ROW][C]53[/C][C]0[/C][C]3.78127312744524[/C][C]-3.78127312744524[/C][/ROW]
[ROW][C]54[/C][C]8[/C][C]3.44717138747132[/C][C]4.55282861252868[/C][/ROW]
[ROW][C]55[/C][C]3[/C][C]2.8134677194586[/C][C]0.186532280541397[/C][/ROW]
[ROW][C]56[/C][C]0[/C][C]2.55723636021047[/C][C]-2.55723636021047[/C][/ROW]
[ROW][C]57[/C][C]0[/C][C]-0.0829418150993378[/C][C]0.0829418150993378[/C][/ROW]
[ROW][C]58[/C][C]8[/C][C]5.28883312936906[/C][C]2.71116687063094[/C][/ROW]
[ROW][C]59[/C][C]5[/C][C]1.72081279533476[/C][C]3.27918720466524[/C][/ROW]
[ROW][C]60[/C][C]3[/C][C]1.1563744618332[/C][C]1.8436255381668[/C][/ROW]
[ROW][C]61[/C][C]1[/C][C]2.42393652920959[/C][C]-1.42393652920959[/C][/ROW]
[ROW][C]62[/C][C]5[/C][C]4.57795176760852[/C][C]0.422048232391476[/C][/ROW]
[ROW][C]63[/C][C]1[/C][C]2.09987153027932[/C][C]-1.09987153027932[/C][/ROW]
[ROW][C]64[/C][C]1[/C][C]1.39775452010317[/C][C]-0.397754520103169[/C][/ROW]
[ROW][C]65[/C][C]5[/C][C]2.75077005934383[/C][C]2.24922994065617[/C][/ROW]
[ROW][C]66[/C][C]0[/C][C]2.94417626294785[/C][C]-2.94417626294785[/C][/ROW]
[ROW][C]67[/C][C]12[/C][C]2.62218948336747[/C][C]9.37781051663253[/C][/ROW]
[ROW][C]68[/C][C]8[/C][C]3.22314495914892[/C][C]4.77685504085108[/C][/ROW]
[ROW][C]69[/C][C]8[/C][C]1.04669617261686[/C][C]6.95330382738314[/C][/ROW]
[ROW][C]70[/C][C]8[/C][C]2.72655873245284[/C][C]5.27344126754716[/C][/ROW]
[ROW][C]71[/C][C]8[/C][C]3.54087643545741[/C][C]4.45912356454259[/C][/ROW]
[ROW][C]72[/C][C]2[/C][C]3.21139719897805[/C][C]-1.21139719897805[/C][/ROW]
[ROW][C]73[/C][C]0[/C][C]1.65853988608578[/C][C]-1.65853988608578[/C][/ROW]
[ROW][C]74[/C][C]5[/C][C]2.95273965735153[/C][C]2.04726034264847[/C][/ROW]
[ROW][C]75[/C][C]8[/C][C]3.68222605092526[/C][C]4.31777394907474[/C][/ROW]
[ROW][C]76[/C][C]2[/C][C]1.62210021664564[/C][C]0.377899783354356[/C][/ROW]
[ROW][C]77[/C][C]5[/C][C]0.742921329985462[/C][C]4.25707867001454[/C][/ROW]
[ROW][C]78[/C][C]12[/C][C]4.00962504639861[/C][C]7.99037495360139[/C][/ROW]
[ROW][C]79[/C][C]6[/C][C]2.18118843672872[/C][C]3.81881156327128[/C][/ROW]
[ROW][C]80[/C][C]7[/C][C]4.61684971334226[/C][C]2.38315028665774[/C][/ROW]
[ROW][C]81[/C][C]2[/C][C]1.85318586545979[/C][C]0.146814134540209[/C][/ROW]
[ROW][C]82[/C][C]0[/C][C]2.67091848084737[/C][C]-2.67091848084737[/C][/ROW]
[ROW][C]83[/C][C]4[/C][C]2.54271206316067[/C][C]1.45728793683933[/C][/ROW]
[ROW][C]84[/C][C]3[/C][C]2.60074889181055[/C][C]0.399251108189452[/C][/ROW]
[ROW][C]85[/C][C]6[/C][C]3.13233640841862[/C][C]2.86766359158138[/C][/ROW]
[ROW][C]86[/C][C]2[/C][C]2.27905943891391[/C][C]-0.279059438913913[/C][/ROW]
[ROW][C]87[/C][C]0[/C][C]2.90751995491214[/C][C]-2.90751995491214[/C][/ROW]
[ROW][C]88[/C][C]1[/C][C]1.6936757290716[/C][C]-0.693675729071595[/C][/ROW]
[ROW][C]89[/C][C]0[/C][C]2.86873779619736[/C][C]-2.86873779619736[/C][/ROW]
[ROW][C]90[/C][C]5[/C][C]3.24825374679372[/C][C]1.75174625320628[/C][/ROW]
[ROW][C]91[/C][C]2[/C][C]1.79010463138749[/C][C]0.209895368612511[/C][/ROW]
[ROW][C]92[/C][C]0[/C][C]-0.0721751065456272[/C][C]0.0721751065456272[/C][/ROW]
[ROW][C]93[/C][C]0[/C][C]2.3719068840984[/C][C]-2.3719068840984[/C][/ROW]
[ROW][C]94[/C][C]5[/C][C]2.79470539675542[/C][C]2.20529460324458[/C][/ROW]
[ROW][C]95[/C][C]0[/C][C]1.8458015342703[/C][C]-1.8458015342703[/C][/ROW]
[ROW][C]96[/C][C]1[/C][C]3.70416170487304[/C][C]-2.70416170487304[/C][/ROW]
[ROW][C]97[/C][C]0[/C][C]3.36188882420352[/C][C]-3.36188882420352[/C][/ROW]
[ROW][C]98[/C][C]1[/C][C]2.73692769990099[/C][C]-1.73692769990099[/C][/ROW]
[ROW][C]99[/C][C]1[/C][C]2.21477911502123[/C][C]-1.21477911502123[/C][/ROW]
[ROW][C]100[/C][C]2[/C][C]2.35957948214656[/C][C]-0.359579482146563[/C][/ROW]
[ROW][C]101[/C][C]6[/C][C]2.41875385708335[/C][C]3.58124614291665[/C][/ROW]
[ROW][C]102[/C][C]1[/C][C]2.86151095018146[/C][C]-1.86151095018146[/C][/ROW]
[ROW][C]103[/C][C]4[/C][C]3.11238887544068[/C][C]0.887611124559317[/C][/ROW]
[ROW][C]104[/C][C]2[/C][C]2.69114653151611[/C][C]-0.691146531516112[/C][/ROW]
[ROW][C]105[/C][C]3[/C][C]2.30710710822036[/C][C]0.692892891779641[/C][/ROW]
[ROW][C]106[/C][C]0[/C][C]1.47369542428592[/C][C]-1.47369542428592[/C][/ROW]
[ROW][C]107[/C][C]10[/C][C]5.92282311000438[/C][C]4.07717688999562[/C][/ROW]
[ROW][C]108[/C][C]0[/C][C]1.04107863880703[/C][C]-1.04107863880703[/C][/ROW]
[ROW][C]109[/C][C]9[/C][C]1.29690658135257[/C][C]7.70309341864743[/C][/ROW]
[ROW][C]110[/C][C]7[/C][C]4.06104645099566[/C][C]2.93895354900434[/C][/ROW]
[ROW][C]111[/C][C]0[/C][C]2.17412831856088[/C][C]-2.17412831856088[/C][/ROW]
[ROW][C]112[/C][C]0[/C][C]2.54919434425621[/C][C]-2.54919434425621[/C][/ROW]
[ROW][C]113[/C][C]4[/C][C]1.95025278417628[/C][C]2.04974721582372[/C][/ROW]
[ROW][C]114[/C][C]4[/C][C]0.411761094136098[/C][C]3.5882389058639[/C][/ROW]
[ROW][C]115[/C][C]0[/C][C]1.88760979615052[/C][C]-1.88760979615052[/C][/ROW]
[ROW][C]116[/C][C]0[/C][C]1.76542969759958[/C][C]-1.76542969759958[/C][/ROW]
[ROW][C]117[/C][C]0[/C][C]1.62320226324537[/C][C]-1.62320226324537[/C][/ROW]
[ROW][C]118[/C][C]1[/C][C]1.71949589803984[/C][C]-0.719495898039835[/C][/ROW]
[ROW][C]119[/C][C]0[/C][C]2.25076267430268[/C][C]-2.25076267430268[/C][/ROW]
[ROW][C]120[/C][C]1[/C][C]1.08391524171601[/C][C]-0.0839152417160134[/C][/ROW]
[ROW][C]121[/C][C]0[/C][C]1.32639300307999[/C][C]-1.32639300307999[/C][/ROW]
[ROW][C]122[/C][C]0[/C][C]0.733116742912192[/C][C]-0.733116742912192[/C][/ROW]
[ROW][C]123[/C][C]4[/C][C]1.87079217941693[/C][C]2.12920782058307[/C][/ROW]
[ROW][C]124[/C][C]0[/C][C]2.29288879469153[/C][C]-2.29288879469153[/C][/ROW]
[ROW][C]125[/C][C]4[/C][C]3.44239261922429[/C][C]0.557607380775708[/C][/ROW]
[ROW][C]126[/C][C]4[/C][C]0.750966417413138[/C][C]3.24903358258686[/C][/ROW]
[ROW][C]127[/C][C]3[/C][C]1.16448611729662[/C][C]1.83551388270338[/C][/ROW]
[ROW][C]128[/C][C]0[/C][C]2.04846741200699[/C][C]-2.04846741200699[/C][/ROW]
[ROW][C]129[/C][C]0[/C][C]2.52381953647317[/C][C]-2.52381953647317[/C][/ROW]
[ROW][C]130[/C][C]0[/C][C]-0.554435396316132[/C][C]0.554435396316132[/C][/ROW]
[ROW][C]131[/C][C]5[/C][C]0.891603035734901[/C][C]4.1083969642651[/C][/ROW]
[ROW][C]132[/C][C]0[/C][C]1.72633489618489[/C][C]-1.72633489618489[/C][/ROW]
[ROW][C]133[/C][C]4[/C][C]0.604027493637591[/C][C]3.39597250636241[/C][/ROW]
[ROW][C]134[/C][C]0[/C][C]2.41702750371389[/C][C]-2.41702750371389[/C][/ROW]
[ROW][C]135[/C][C]0[/C][C]2.79064713713734[/C][C]-2.79064713713734[/C][/ROW]
[ROW][C]136[/C][C]1[/C][C]1.78061776122577[/C][C]-0.780617761225774[/C][/ROW]
[ROW][C]137[/C][C]0[/C][C]-0.421837870406098[/C][C]0.421837870406098[/C][/ROW]
[ROW][C]138[/C][C]5[/C][C]1.52338042818322[/C][C]3.47661957181678[/C][/ROW]
[ROW][C]139[/C][C]0[/C][C]0.770329245141938[/C][C]-0.770329245141938[/C][/ROW]
[ROW][C]140[/C][C]0[/C][C]-0.0499210355628188[/C][C]0.0499210355628188[/C][/ROW]
[ROW][C]141[/C][C]0[/C][C]1.03267154625934[/C][C]-1.03267154625934[/C][/ROW]
[ROW][C]142[/C][C]0[/C][C]1.33538923772393[/C][C]-1.33538923772393[/C][/ROW]
[ROW][C]143[/C][C]0[/C][C]1.80394706643688[/C][C]-1.80394706643688[/C][/ROW]
[ROW][C]144[/C][C]2[/C][C]3.01565774496014[/C][C]-1.01565774496014[/C][/ROW]
[ROW][C]145[/C][C]7[/C][C]4.28839745090183[/C][C]2.71160254909817[/C][/ROW]
[ROW][C]146[/C][C]1[/C][C]1.57868922086236[/C][C]-0.578689220862361[/C][/ROW]
[ROW][C]147[/C][C]8[/C][C]4.29234033192715[/C][C]3.70765966807285[/C][/ROW]
[ROW][C]148[/C][C]2[/C][C]2.208345309475[/C][C]-0.208345309475003[/C][/ROW]
[ROW][C]149[/C][C]0[/C][C]0.384973854797782[/C][C]-0.384973854797782[/C][/ROW]
[ROW][C]150[/C][C]2[/C][C]3.80962528248531[/C][C]-1.80962528248531[/C][/ROW]
[ROW][C]151[/C][C]0[/C][C]4.2600483709908[/C][C]-4.2600483709908[/C][/ROW]
[ROW][C]152[/C][C]0[/C][C]4.738606272503[/C][C]-4.738606272503[/C][/ROW]
[ROW][C]153[/C][C]1[/C][C]0.798483590334027[/C][C]0.201516409665972[/C][/ROW]
[ROW][C]154[/C][C]3[/C][C]3.49027549161297[/C][C]-0.490275491612967[/C][/ROW]
[ROW][C]155[/C][C]0[/C][C]2.72370389794801[/C][C]-2.72370389794801[/C][/ROW]
[ROW][C]156[/C][C]3[/C][C]4.14840624367411[/C][C]-1.14840624367411[/C][/ROW]
[ROW][C]157[/C][C]0[/C][C]3.15496086527635[/C][C]-3.15496086527635[/C][/ROW]
[ROW][C]158[/C][C]0[/C][C]0.896243992494474[/C][C]-0.896243992494474[/C][/ROW]
[ROW][C]159[/C][C]0[/C][C]2.52973681061527[/C][C]-2.52973681061527[/C][/ROW]
[ROW][C]160[/C][C]4[/C][C]4.49032394489818[/C][C]-0.49032394489818[/C][/ROW]
[ROW][C]161[/C][C]4[/C][C]4.43207912570197[/C][C]-0.432079125701975[/C][/ROW]
[ROW][C]162[/C][C]11[/C][C]3.52250885039354[/C][C]7.47749114960646[/C][/ROW]
[ROW][C]163[/C][C]0[/C][C]1.8417744408674[/C][C]-1.8417744408674[/C][/ROW]
[ROW][C]164[/C][C]0[/C][C]3.56208752949388[/C][C]-3.56208752949388[/C][/ROW]
[ROW][C]165[/C][C]4[/C][C]2.71358408736384[/C][C]1.28641591263616[/C][/ROW]
[ROW][C]166[/C][C]0[/C][C]2.90651608138993[/C][C]-2.90651608138993[/C][/ROW]
[ROW][C]167[/C][C]1[/C][C]2.58928478807806[/C][C]-1.58928478807806[/C][/ROW]
[ROW][C]168[/C][C]0[/C][C]2.05073291421067[/C][C]-2.05073291421067[/C][/ROW]
[ROW][C]169[/C][C]0[/C][C]1.3128559242072[/C][C]-1.3128559242072[/C][/ROW]
[ROW][C]170[/C][C]0[/C][C]1.921675728903[/C][C]-1.921675728903[/C][/ROW]
[ROW][C]171[/C][C]9[/C][C]2.65710912742741[/C][C]6.3428908725726[/C][/ROW]
[ROW][C]172[/C][C]1[/C][C]2.03387705001916[/C][C]-1.03387705001916[/C][/ROW]
[ROW][C]173[/C][C]3[/C][C]2.30630687552397[/C][C]0.693693124476033[/C][/ROW]
[ROW][C]174[/C][C]10[/C][C]2.88366133769262[/C][C]7.11633866230738[/C][/ROW]
[ROW][C]175[/C][C]5[/C][C]3.10469253346973[/C][C]1.89530746653027[/C][/ROW]
[ROW][C]176[/C][C]0[/C][C]1.02061926126164[/C][C]-1.02061926126164[/C][/ROW]
[ROW][C]177[/C][C]2[/C][C]2.72589840424978[/C][C]-0.725898404249777[/C][/ROW]
[ROW][C]178[/C][C]0[/C][C]1.60801955261254[/C][C]-1.60801955261254[/C][/ROW]
[ROW][C]179[/C][C]1[/C][C]3.02771424531839[/C][C]-2.02771424531839[/C][/ROW]
[ROW][C]180[/C][C]2[/C][C]0.815090202087943[/C][C]1.18490979791206[/C][/ROW]
[ROW][C]181[/C][C]4[/C][C]0.321484895093102[/C][C]3.6785151049069[/C][/ROW]
[ROW][C]182[/C][C]0[/C][C]0.994194639657393[/C][C]-0.994194639657393[/C][/ROW]
[ROW][C]183[/C][C]0[/C][C]-0.462365654856761[/C][C]0.462365654856761[/C][/ROW]
[ROW][C]184[/C][C]2[/C][C]2.53426343084883[/C][C]-0.534263430848828[/C][/ROW]
[ROW][C]185[/C][C]1[/C][C]2.33124680945634[/C][C]-1.33124680945634[/C][/ROW]
[ROW][C]186[/C][C]0[/C][C]-0.554417710681878[/C][C]0.554417710681878[/C][/ROW]
[ROW][C]187[/C][C]0[/C][C]0.047898930885209[/C][C]-0.047898930885209[/C][/ROW]
[ROW][C]188[/C][C]0[/C][C]-0.263173131857196[/C][C]0.263173131857196[/C][/ROW]
[ROW][C]189[/C][C]1[/C][C]1.41416285723959[/C][C]-0.414162857239586[/C][/ROW]
[ROW][C]190[/C][C]0[/C][C]1.87197728268945[/C][C]-1.87197728268945[/C][/ROW]
[ROW][C]191[/C][C]2[/C][C]1.42662958368683[/C][C]0.57337041631317[/C][/ROW]
[ROW][C]192[/C][C]0[/C][C]1.61841659334632[/C][C]-1.61841659334632[/C][/ROW]
[ROW][C]193[/C][C]3[/C][C]0.422641795409908[/C][C]2.57735820459009[/C][/ROW]
[ROW][C]194[/C][C]6[/C][C]2.50908072230066[/C][C]3.49091927769934[/C][/ROW]
[ROW][C]195[/C][C]0[/C][C]2.18709171477208[/C][C]-2.18709171477208[/C][/ROW]
[ROW][C]196[/C][C]2[/C][C]0.591208377957103[/C][C]1.4087916220429[/C][/ROW]
[ROW][C]197[/C][C]0[/C][C]2.14812177594781[/C][C]-2.14812177594781[/C][/ROW]
[ROW][C]198[/C][C]2[/C][C]1.20270547410903[/C][C]0.797294525890967[/C][/ROW]
[ROW][C]199[/C][C]1[/C][C]1.31727257287004[/C][C]-0.317272572870039[/C][/ROW]
[ROW][C]200[/C][C]1[/C][C]1.35604553185476[/C][C]-0.356045531854756[/C][/ROW]
[ROW][C]201[/C][C]2[/C][C]1.53990410270995[/C][C]0.460095897290051[/C][/ROW]
[ROW][C]202[/C][C]1[/C][C]1.66826680753342[/C][C]-0.668266807533418[/C][/ROW]
[ROW][C]203[/C][C]0[/C][C]1.59265665025248[/C][C]-1.59265665025248[/C][/ROW]
[ROW][C]204[/C][C]1[/C][C]2.04596733037854[/C][C]-1.04596733037854[/C][/ROW]
[ROW][C]205[/C][C]3[/C][C]1.57101706349095[/C][C]1.42898293650905[/C][/ROW]
[ROW][C]206[/C][C]0[/C][C]1.44816524806646[/C][C]-1.44816524806646[/C][/ROW]
[ROW][C]207[/C][C]0[/C][C]1.39135408615532[/C][C]-1.39135408615532[/C][/ROW]
[ROW][C]208[/C][C]0[/C][C]1.74004083970104[/C][C]-1.74004083970104[/C][/ROW]
[ROW][C]209[/C][C]0[/C][C]1.61730415836957[/C][C]-1.61730415836957[/C][/ROW]
[ROW][C]210[/C][C]1[/C][C]2.33569519424766[/C][C]-1.33569519424766[/C][/ROW]
[ROW][C]211[/C][C]4[/C][C]0.355525484313553[/C][C]3.64447451568645[/C][/ROW]
[ROW][C]212[/C][C]0[/C][C]1.3353792209365[/C][C]-1.3353792209365[/C][/ROW]
[ROW][C]213[/C][C]0[/C][C]1.40111714126428[/C][C]-1.40111714126428[/C][/ROW]
[ROW][C]214[/C][C]0[/C][C]1.59735895552028[/C][C]-1.59735895552028[/C][/ROW]
[ROW][C]215[/C][C]7[/C][C]2.44034679910708[/C][C]4.55965320089292[/C][/ROW]
[ROW][C]216[/C][C]2[/C][C]2.76280061969739[/C][C]-0.762800619697387[/C][/ROW]
[ROW][C]217[/C][C]0[/C][C]1.07744018867427[/C][C]-1.07744018867427[/C][/ROW]
[ROW][C]218[/C][C]7[/C][C]1.21539391711719[/C][C]5.78460608288281[/C][/ROW]
[ROW][C]219[/C][C]3[/C][C]1.00652534152187[/C][C]1.99347465847813[/C][/ROW]
[ROW][C]220[/C][C]0[/C][C]1.70422806405238[/C][C]-1.70422806405238[/C][/ROW]
[ROW][C]221[/C][C]0[/C][C]1.93502124388324[/C][C]-1.93502124388324[/C][/ROW]
[ROW][C]222[/C][C]6[/C][C]2.54886468087984[/C][C]3.45113531912016[/C][/ROW]
[ROW][C]223[/C][C]2[/C][C]0.927288015435673[/C][C]1.07271198456433[/C][/ROW]
[ROW][C]224[/C][C]0[/C][C]1.60673909599722[/C][C]-1.60673909599722[/C][/ROW]
[ROW][C]225[/C][C]0[/C][C]1.40188555966282[/C][C]-1.40188555966282[/C][/ROW]
[ROW][C]226[/C][C]3[/C][C]0.648993374838712[/C][C]2.35100662516129[/C][/ROW]
[ROW][C]227[/C][C]0[/C][C]-0.204890755185672[/C][C]0.204890755185672[/C][/ROW]
[ROW][C]228[/C][C]1[/C][C]1.54783604463149[/C][C]-0.547836044631486[/C][/ROW]
[ROW][C]229[/C][C]1[/C][C]0.616971593199177[/C][C]0.383028406800823[/C][/ROW]
[ROW][C]230[/C][C]0[/C][C]2.23790254037687[/C][C]-2.23790254037687[/C][/ROW]
[ROW][C]231[/C][C]1[/C][C]1.69867748603608[/C][C]-0.698677486036085[/C][/ROW]
[ROW][C]232[/C][C]0[/C][C]0.834694541339075[/C][C]-0.834694541339075[/C][/ROW]
[ROW][C]233[/C][C]0[/C][C]1.34783369283241[/C][C]-1.34783369283241[/C][/ROW]
[ROW][C]234[/C][C]0[/C][C]1.12541527140747[/C][C]-1.12541527140747[/C][/ROW]
[ROW][C]235[/C][C]0[/C][C]1.47951193464472[/C][C]-1.47951193464472[/C][/ROW]
[ROW][C]236[/C][C]0[/C][C]1.24169015441713[/C][C]-1.24169015441713[/C][/ROW]
[ROW][C]237[/C][C]0[/C][C]1.81340064306563[/C][C]-1.81340064306563[/C][/ROW]
[ROW][C]238[/C][C]0[/C][C]0.395063022326973[/C][C]-0.395063022326973[/C][/ROW]
[ROW][C]239[/C][C]0[/C][C]1.0180836656303[/C][C]-1.0180836656303[/C][/ROW]
[ROW][C]240[/C][C]0[/C][C]1.30456824351752[/C][C]-1.30456824351752[/C][/ROW]
[ROW][C]241[/C][C]0[/C][C]1.05057861608282[/C][C]-1.05057861608282[/C][/ROW]
[ROW][C]242[/C][C]0[/C][C]2.96471614347782[/C][C]-2.96471614347782[/C][/ROW]
[ROW][C]243[/C][C]0[/C][C]1.13933605675565[/C][C]-1.13933605675565[/C][/ROW]
[ROW][C]244[/C][C]2[/C][C]1.18012816757979[/C][C]0.819871832420214[/C][/ROW]
[ROW][C]245[/C][C]0[/C][C]1.26892235964911[/C][C]-1.26892235964911[/C][/ROW]
[ROW][C]246[/C][C]1[/C][C]1.15431936219187[/C][C]-0.154319362191866[/C][/ROW]
[ROW][C]247[/C][C]1[/C][C]0.897511233379626[/C][C]0.102488766620374[/C][/ROW]
[ROW][C]248[/C][C]0[/C][C]1.6185309124302[/C][C]-1.6185309124302[/C][/ROW]
[ROW][C]249[/C][C]0[/C][C]0.85539314913811[/C][C]-0.85539314913811[/C][/ROW]
[ROW][C]250[/C][C]0[/C][C]-0.157435156360836[/C][C]0.157435156360836[/C][/ROW]
[ROW][C]251[/C][C]0[/C][C]2.48317215730403[/C][C]-2.48317215730403[/C][/ROW]
[ROW][C]252[/C][C]0[/C][C]1.7830305007374[/C][C]-1.7830305007374[/C][/ROW]
[ROW][C]253[/C][C]0[/C][C]-0.571786176047486[/C][C]0.571786176047486[/C][/ROW]
[ROW][C]254[/C][C]1[/C][C]2.2069031423599[/C][C]-1.2069031423599[/C][/ROW]
[ROW][C]255[/C][C]0[/C][C]1.66847619980597[/C][C]-1.66847619980597[/C][/ROW]
[ROW][C]256[/C][C]0[/C][C]-0.179286965711812[/C][C]0.179286965711812[/C][/ROW]
[ROW][C]257[/C][C]0[/C][C]0.271911206862347[/C][C]-0.271911206862347[/C][/ROW]
[ROW][C]258[/C][C]0[/C][C]1.14531161363453[/C][C]-1.14531161363453[/C][/ROW]
[ROW][C]259[/C][C]1[/C][C]1.2988739447418[/C][C]-0.298873944741805[/C][/ROW]
[ROW][C]260[/C][C]0[/C][C]0.355168091956669[/C][C]-0.355168091956669[/C][/ROW]
[ROW][C]261[/C][C]0[/C][C]0.825270345159634[/C][C]-0.825270345159634[/C][/ROW]
[ROW][C]262[/C][C]0[/C][C]1.50737525132627[/C][C]-1.50737525132627[/C][/ROW]
[ROW][C]263[/C][C]0[/C][C]0.285538105910743[/C][C]-0.285538105910743[/C][/ROW]
[ROW][C]264[/C][C]0[/C][C]0.488298641217356[/C][C]-0.488298641217356[/C][/ROW]
[ROW][C]265[/C][C]0[/C][C]1.52124764485323[/C][C]-1.52124764485323[/C][/ROW]
[ROW][C]266[/C][C]0[/C][C]0.625674804768517[/C][C]-0.625674804768517[/C][/ROW]
[ROW][C]267[/C][C]0[/C][C]1.50886760068829[/C][C]-1.50886760068829[/C][/ROW]
[ROW][C]268[/C][C]0[/C][C]0.514342198366629[/C][C]-0.514342198366629[/C][/ROW]
[ROW][C]269[/C][C]0[/C][C]1.48285584707045[/C][C]-1.48285584707045[/C][/ROW]
[ROW][C]270[/C][C]0[/C][C]1.30360894265101[/C][C]-1.30360894265101[/C][/ROW]
[ROW][C]271[/C][C]1[/C][C]1.7776742679792[/C][C]-0.7776742679792[/C][/ROW]
[ROW][C]272[/C][C]0[/C][C]1.71298893738399[/C][C]-1.71298893738399[/C][/ROW]
[ROW][C]273[/C][C]0[/C][C]-0.310989674945944[/C][C]0.310989674945944[/C][/ROW]
[ROW][C]274[/C][C]1[/C][C]1.15640402377898[/C][C]-0.156404023778979[/C][/ROW]
[ROW][C]275[/C][C]0[/C][C]0.42226863855399[/C][C]-0.42226863855399[/C][/ROW]
[ROW][C]276[/C][C]6[/C][C]0.953384531820308[/C][C]5.04661546817969[/C][/ROW]
[ROW][C]277[/C][C]3[/C][C]1.0460614010569[/C][C]1.9539385989431[/C][/ROW]
[ROW][C]278[/C][C]1[/C][C]-0.36113433277608[/C][C]1.36113433277608[/C][/ROW]
[ROW][C]279[/C][C]2[/C][C]1.03302881936812[/C][C]0.966971180631877[/C][/ROW]
[ROW][C]280[/C][C]0[/C][C]1.8389413829491[/C][C]-1.8389413829491[/C][/ROW]
[ROW][C]281[/C][C]0[/C][C]1.82300122944587[/C][C]-1.82300122944587[/C][/ROW]
[ROW][C]282[/C][C]0[/C][C]0.978491288670637[/C][C]-0.978491288670637[/C][/ROW]
[ROW][C]283[/C][C]3[/C][C]0.370132488526219[/C][C]2.62986751147378[/C][/ROW]
[ROW][C]284[/C][C]1[/C][C]-0.107692072002952[/C][C]1.10769207200295[/C][/ROW]
[ROW][C]285[/C][C]0[/C][C]1.70645378678908[/C][C]-1.70645378678908[/C][/ROW]
[ROW][C]286[/C][C]0[/C][C]1.31563750372129[/C][C]-1.31563750372129[/C][/ROW]
[ROW][C]287[/C][C]1[/C][C]0.887906257095016[/C][C]0.112093742904984[/C][/ROW]
[ROW][C]288[/C][C]0[/C][C]1.29127679495815[/C][C]-1.29127679495815[/C][/ROW]
[ROW][C]289[/C][C]0[/C][C]1.13098627023649[/C][C]-1.13098627023649[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155454&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155454&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
132.436331951657620.563668048342376
242.856162029334471.14383797066553
3123.08369959128238.9163004087177
422.27210500948696-0.272105009486955
511.3269077020385-0.326907702038497
632.742681473627310.257318526372687
701.75325776271367-1.75325776271367
801.06061078286163-1.06061078286163
901.12063409676687-1.12063409676687
1052.752950532943442.24704946705656
1101.33790005718185-1.33790005718185
1203.75508398128989-3.75508398128989
1374.47193616343092.5280638365691
1472.885130119256924.11486988074308
1533.28540261425945-0.285402614259449
1692.322900261435286.67709973856472
1704.33062579410754-4.33062579410754
1842.554801051185191.44519894881481
1932.307608321532830.692391678467173
2001.16536820924076-1.16536820924076
2173.08992058030713.9100794196929
2202.91245372230994-2.91245372230994
2313.03975836480362-2.03975836480362
2452.291433457813192.70856654218681
2574.188108487679522.81189151232048
2602.62631022259801-2.62631022259801
2703.30442377591254-3.30442377591254
2852.770607090458042.22939290954196
2902.86786205249499-2.86786205249499
3002.27395584289002-2.27395584289002
3102.45575587327154-2.45575587327154
3233.41133969223928-0.411339692239283
3344.34601154563881-0.346011545638808
3414.19460139541935-3.19460139541935
3543.293760439030810.706239560969188
3623.03960440971415-1.03960440971415
3700.893835250542497-0.893835250542497
3802.57743098437896-2.57743098437896
3903.81466482618477-3.81466482618477
400-0.3586750252321750.358675025232175
4122.10287062295379-0.102870622953791
4210.8179729266954850.182027073304515
4301.05694996242972-1.05694996242972
4423.43928673623836-1.43928673623836
45102.040122048099997.95987795190001
4663.047796739950192.95220326004981
4702.1817883644426-2.1817883644426
4852.553681120220562.44631887977944
4942.487832385040761.51216761495924
5011.99157642111649-0.991576421116492
5123.61439833517026-1.61439833517026
5222.39347466178262-0.393474661782623
5303.78127312744524-3.78127312744524
5483.447171387471324.55282861252868
5532.81346771945860.186532280541397
5602.55723636021047-2.55723636021047
570-0.08294181509933780.0829418150993378
5885.288833129369062.71116687063094
5951.720812795334763.27918720466524
6031.15637446183321.8436255381668
6112.42393652920959-1.42393652920959
6254.577951767608520.422048232391476
6312.09987153027932-1.09987153027932
6411.39775452010317-0.397754520103169
6552.750770059343832.24922994065617
6602.94417626294785-2.94417626294785
67122.622189483367479.37781051663253
6883.223144959148924.77685504085108
6981.046696172616866.95330382738314
7082.726558732452845.27344126754716
7183.540876435457414.45912356454259
7223.21139719897805-1.21139719897805
7301.65853988608578-1.65853988608578
7452.952739657351532.04726034264847
7583.682226050925264.31777394907474
7621.622100216645640.377899783354356
7750.7429213299854624.25707867001454
78124.009625046398617.99037495360139
7962.181188436728723.81881156327128
8074.616849713342262.38315028665774
8121.853185865459790.146814134540209
8202.67091848084737-2.67091848084737
8342.542712063160671.45728793683933
8432.600748891810550.399251108189452
8563.132336408418622.86766359158138
8622.27905943891391-0.279059438913913
8702.90751995491214-2.90751995491214
8811.6936757290716-0.693675729071595
8902.86873779619736-2.86873779619736
9053.248253746793721.75174625320628
9121.790104631387490.209895368612511
920-0.07217510654562720.0721751065456272
9302.3719068840984-2.3719068840984
9452.794705396755422.20529460324458
9501.8458015342703-1.8458015342703
9613.70416170487304-2.70416170487304
9703.36188882420352-3.36188882420352
9812.73692769990099-1.73692769990099
9912.21477911502123-1.21477911502123
10022.35957948214656-0.359579482146563
10162.418753857083353.58124614291665
10212.86151095018146-1.86151095018146
10343.112388875440680.887611124559317
10422.69114653151611-0.691146531516112
10532.307107108220360.692892891779641
10601.47369542428592-1.47369542428592
107105.922823110004384.07717688999562
10801.04107863880703-1.04107863880703
10991.296906581352577.70309341864743
11074.061046450995662.93895354900434
11102.17412831856088-2.17412831856088
11202.54919434425621-2.54919434425621
11341.950252784176282.04974721582372
11440.4117610941360983.5882389058639
11501.88760979615052-1.88760979615052
11601.76542969759958-1.76542969759958
11701.62320226324537-1.62320226324537
11811.71949589803984-0.719495898039835
11902.25076267430268-2.25076267430268
12011.08391524171601-0.0839152417160134
12101.32639300307999-1.32639300307999
12200.733116742912192-0.733116742912192
12341.870792179416932.12920782058307
12402.29288879469153-2.29288879469153
12543.442392619224290.557607380775708
12640.7509664174131383.24903358258686
12731.164486117296621.83551388270338
12802.04846741200699-2.04846741200699
12902.52381953647317-2.52381953647317
1300-0.5544353963161320.554435396316132
13150.8916030357349014.1083969642651
13201.72633489618489-1.72633489618489
13340.6040274936375913.39597250636241
13402.41702750371389-2.41702750371389
13502.79064713713734-2.79064713713734
13611.78061776122577-0.780617761225774
1370-0.4218378704060980.421837870406098
13851.523380428183223.47661957181678
13900.770329245141938-0.770329245141938
1400-0.04992103556281880.0499210355628188
14101.03267154625934-1.03267154625934
14201.33538923772393-1.33538923772393
14301.80394706643688-1.80394706643688
14423.01565774496014-1.01565774496014
14574.288397450901832.71160254909817
14611.57868922086236-0.578689220862361
14784.292340331927153.70765966807285
14822.208345309475-0.208345309475003
14900.384973854797782-0.384973854797782
15023.80962528248531-1.80962528248531
15104.2600483709908-4.2600483709908
15204.738606272503-4.738606272503
15310.7984835903340270.201516409665972
15433.49027549161297-0.490275491612967
15502.72370389794801-2.72370389794801
15634.14840624367411-1.14840624367411
15703.15496086527635-3.15496086527635
15800.896243992494474-0.896243992494474
15902.52973681061527-2.52973681061527
16044.49032394489818-0.49032394489818
16144.43207912570197-0.432079125701975
162113.522508850393547.47749114960646
16301.8417744408674-1.8417744408674
16403.56208752949388-3.56208752949388
16542.713584087363841.28641591263616
16602.90651608138993-2.90651608138993
16712.58928478807806-1.58928478807806
16802.05073291421067-2.05073291421067
16901.3128559242072-1.3128559242072
17001.921675728903-1.921675728903
17192.657109127427416.3428908725726
17212.03387705001916-1.03387705001916
17332.306306875523970.693693124476033
174102.883661337692627.11633866230738
17553.104692533469731.89530746653027
17601.02061926126164-1.02061926126164
17722.72589840424978-0.725898404249777
17801.60801955261254-1.60801955261254
17913.02771424531839-2.02771424531839
18020.8150902020879431.18490979791206
18140.3214848950931023.6785151049069
18200.994194639657393-0.994194639657393
1830-0.4623656548567610.462365654856761
18422.53426343084883-0.534263430848828
18512.33124680945634-1.33124680945634
1860-0.5544177106818780.554417710681878
18700.047898930885209-0.047898930885209
1880-0.2631731318571960.263173131857196
18911.41416285723959-0.414162857239586
19001.87197728268945-1.87197728268945
19121.426629583686830.57337041631317
19201.61841659334632-1.61841659334632
19330.4226417954099082.57735820459009
19462.509080722300663.49091927769934
19502.18709171477208-2.18709171477208
19620.5912083779571031.4087916220429
19702.14812177594781-2.14812177594781
19821.202705474109030.797294525890967
19911.31727257287004-0.317272572870039
20011.35604553185476-0.356045531854756
20121.539904102709950.460095897290051
20211.66826680753342-0.668266807533418
20301.59265665025248-1.59265665025248
20412.04596733037854-1.04596733037854
20531.571017063490951.42898293650905
20601.44816524806646-1.44816524806646
20701.39135408615532-1.39135408615532
20801.74004083970104-1.74004083970104
20901.61730415836957-1.61730415836957
21012.33569519424766-1.33569519424766
21140.3555254843135533.64447451568645
21201.3353792209365-1.3353792209365
21301.40111714126428-1.40111714126428
21401.59735895552028-1.59735895552028
21572.440346799107084.55965320089292
21622.76280061969739-0.762800619697387
21701.07744018867427-1.07744018867427
21871.215393917117195.78460608288281
21931.006525341521871.99347465847813
22001.70422806405238-1.70422806405238
22101.93502124388324-1.93502124388324
22262.548864680879843.45113531912016
22320.9272880154356731.07271198456433
22401.60673909599722-1.60673909599722
22501.40188555966282-1.40188555966282
22630.6489933748387122.35100662516129
2270-0.2048907551856720.204890755185672
22811.54783604463149-0.547836044631486
22910.6169715931991770.383028406800823
23002.23790254037687-2.23790254037687
23111.69867748603608-0.698677486036085
23200.834694541339075-0.834694541339075
23301.34783369283241-1.34783369283241
23401.12541527140747-1.12541527140747
23501.47951193464472-1.47951193464472
23601.24169015441713-1.24169015441713
23701.81340064306563-1.81340064306563
23800.395063022326973-0.395063022326973
23901.0180836656303-1.0180836656303
24001.30456824351752-1.30456824351752
24101.05057861608282-1.05057861608282
24202.96471614347782-2.96471614347782
24301.13933605675565-1.13933605675565
24421.180128167579790.819871832420214
24501.26892235964911-1.26892235964911
24611.15431936219187-0.154319362191866
24710.8975112333796260.102488766620374
24801.6185309124302-1.6185309124302
24900.85539314913811-0.85539314913811
2500-0.1574351563608360.157435156360836
25102.48317215730403-2.48317215730403
25201.7830305007374-1.7830305007374
2530-0.5717861760474860.571786176047486
25412.2069031423599-1.2069031423599
25501.66847619980597-1.66847619980597
2560-0.1792869657118120.179286965711812
25700.271911206862347-0.271911206862347
25801.14531161363453-1.14531161363453
25911.2988739447418-0.298873944741805
26000.355168091956669-0.355168091956669
26100.825270345159634-0.825270345159634
26201.50737525132627-1.50737525132627
26300.285538105910743-0.285538105910743
26400.488298641217356-0.488298641217356
26501.52124764485323-1.52124764485323
26600.625674804768517-0.625674804768517
26701.50886760068829-1.50886760068829
26800.514342198366629-0.514342198366629
26901.48285584707045-1.48285584707045
27001.30360894265101-1.30360894265101
27111.7776742679792-0.7776742679792
27201.71298893738399-1.71298893738399
2730-0.3109896749459440.310989674945944
27411.15640402377898-0.156404023778979
27500.42226863855399-0.42226863855399
27660.9533845318203085.04661546817969
27731.04606140105691.9539385989431
2781-0.361134332776081.36113433277608
27921.033028819368120.966971180631877
28001.8389413829491-1.8389413829491
28101.82300122944587-1.82300122944587
28200.978491288670637-0.978491288670637
28330.3701324885262192.62986751147378
2841-0.1076920720029521.10769207200295
28501.70645378678908-1.70645378678908
28601.31563750372129-1.31563750372129
28710.8879062570950160.112093742904984
28801.29127679495815-1.29127679495815
28901.13098627023649-1.13098627023649






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.4342733428485470.8685466856970940.565726657151453
100.4395268328030270.8790536656060540.560473167196973
110.3110343100625170.6220686201250340.688965689937483
120.9542914954869140.09141700902617270.0457085045130863
130.924763792102730.1504724157945410.0752362078972705
140.9240333756656450.1519332486687090.0759666243343547
150.906517138255580.1869657234888410.0934828617444207
160.91607791454810.16784417090380.0839220854519
170.955111429942310.08977714011537990.0448885700576899
180.9505503843483550.09889923130329070.0494496156516454
190.92842637565970.1431472486805980.0715736243402989
200.9023759360660790.1952481278678420.0976240639339211
210.927015161891240.1459696762175190.0729848381087594
220.9531367239623930.09372655207521320.0468632760376066
230.93899302476120.1220139504776010.0610069752388007
240.9308799846074740.1382400307850520.069120015392526
250.9123763460464590.1752473079070820.0876236539535411
260.89750962821390.2049807435721990.1024903717861
270.8884495220787360.2231009558425280.111550477921264
280.9024484389744690.1951031220510630.0975515610255314
290.897057498622020.2058850027559590.10294250137798
300.9005098517673760.1989802964652480.0994901482326238
310.9019932951942870.1960134096114250.0980067048057126
320.8753905144133440.2492189711733120.124609485586656
330.899396800010090.201206399979820.10060319998991
340.9088362000602310.1823275998795380.0911637999397689
350.8851167334110220.2297665331779560.114883266588978
360.8592121218577040.2815757562845910.140787878142296
370.8283459085167710.3433081829664580.171654091483229
380.8503578168025740.2992843663948520.149642183197426
390.8538679199972970.2922641600054060.146132080002703
400.8289292836394130.3421414327211730.171070716360587
410.7981804259466680.4036391481066630.201819574053332
420.7613698235463380.4772603529073230.238630176453662
430.7270279881583070.5459440236833860.272972011841693
440.6975519091125980.6048961817748030.302448090887402
450.9522281767173450.09554364656530950.0477718232826547
460.9459378016478440.1081243967043120.0540621983521561
470.9349467128784170.1301065742431670.0650532871215834
480.931679367393860.1366412652122790.0683206326061394
490.9171119350177450.165776129964510.082888064982255
500.9493536895476960.1012926209046080.0506463104523042
510.9383154150362910.1233691699274170.0616845849637087
520.927418845557740.1451623088845210.0725811544422605
530.945332306269530.1093353874609410.0546676937304705
540.9691729863941070.06165402721178620.0308270136058931
550.961071081188140.07785783762371780.0389289188118589
560.9593225820126850.08135483597462970.0406774179873148
570.9491735049703710.1016529900592580.0508264950296289
580.9665479601449140.06690407971017240.0334520398550862
590.9692990226097430.06140195478051430.0307009773902572
600.9654088756489770.06918224870204690.0345911243510235
610.9592332226462280.08153355470754350.0407667773537717
620.9496053845634890.1007892308730230.0503946154365114
630.9402894969792980.1194210060414030.0597105030207017
640.9278141766029640.1443716467940730.0721858233970364
650.9278958714024080.1442082571951840.0721041285975918
660.9283415338762510.1433169322474990.0716584661237493
670.9961913089708980.007617382058203790.00380869102910189
680.998266709339940.003466581320119570.00173329066005978
690.9997457093792870.0005085812414252930.000254290620712647
700.9998846732627740.0002306534744528140.000115326737226407
710.999942450206280.0001150995874392945.7549793719647e-05
720.9999238055666850.0001523888666299267.6194433314963e-05
730.999910241131240.0001795177375210998.97588687605495e-05
740.9998929829817950.0002140340364105350.000107017018205268
750.999935883751750.000128232496499066.411624824953e-05
760.9999070326545160.0001859346909676579.29673454838283e-05
770.9999418666131490.0001162667737023675.81333868511833e-05
780.9999980578099223.88438015522052e-061.94219007761026e-06
790.9999987041688072.59166238546782e-061.29583119273391e-06
800.9999986508639562.6982720885463e-061.34913604427315e-06
810.9999979809374924.03812501653538e-062.01906250826769e-06
820.9999982710886253.45782275079088e-061.72891137539544e-06
830.9999977292516114.5414967778397e-062.27074838891985e-06
840.9999965613654836.87726903409454e-063.43863451704727e-06
850.9999968684173486.2631653043275e-063.13158265216375e-06
860.9999953599247589.28015048334023e-064.64007524167011e-06
870.999996523667396.95266521864018e-063.47633260932009e-06
880.999995025150119.94969977942007e-064.97484988971004e-06
890.9999954677754029.06444919589113e-064.53222459794556e-06
900.9999943530238381.12939523239433e-055.64697616197167e-06
910.9999921433059641.57133880725945e-057.85669403629723e-06
920.9999883269214832.33461570333012e-051.16730785166506e-05
930.9999889629455012.20741089971927e-051.10370544985963e-05
940.9999879421033352.41157933292053e-051.20578966646027e-05
950.9999860353126262.7929374748258e-051.3964687374129e-05
960.9999868188559382.63622881248022e-051.31811440624011e-05
970.9999915738475121.68523049763438e-058.4261524881719e-06
980.99999034341711.93131657995582e-059.6565828997791e-06
990.9999873150030472.53699939063963e-051.26849969531982e-05
1000.9999816589769983.66820460048486e-051.83410230024243e-05
1010.999987247072462.55058550796856e-051.27529275398428e-05
1020.9999845778257773.0844348446307e-051.54221742231535e-05
1030.999978589341024.28213179604159e-052.14106589802079e-05
1040.9999699676175126.00647649766614e-053.00323824883307e-05
1050.999958173938968.36521220789726e-054.18260610394863e-05
1060.9999457320796720.0001085358406553655.42679203276824e-05
1070.9999773093915384.53812169231044e-052.26906084615522e-05
1080.9999703814730255.92370539497936e-052.96185269748968e-05
1090.999999274581631.45083674011951e-067.25418370059754e-07
1100.9999995439281529.12143696687012e-074.56071848343506e-07
1110.9999994561138211.08777235801662e-065.43886179008311e-07
1120.9999994973437971.00531240584651e-065.02656202923254e-07
1130.9999994385491141.12290177269953e-065.61450886349766e-07
1140.9999996588593446.82281311675506e-073.41140655837753e-07
1150.9999995801206388.39758724536379e-074.1987936226819e-07
1160.9999994546581461.09068370788338e-065.4534185394169e-07
1170.9999992485767271.50284654699267e-067.51423273496335e-07
1180.999998898816042.20236792066284e-061.10118396033142e-06
1190.999998853035032.29392994045195e-061.14696497022597e-06
1200.9999982717569683.45648606360151e-061.72824303180076e-06
1210.9999976918918974.61621620654115e-062.30810810327058e-06
1220.9999967056501536.58869969322476e-063.29434984661238e-06
1230.9999964468698467.10626030867757e-063.55313015433878e-06
1240.9999960528216687.8943566648481e-063.94717833242405e-06
1250.99999457596761.08480647998024e-055.42403239990119e-06
1260.9999958211543328.3576913362278e-064.1788456681139e-06
1270.9999949837104341.00325791321573e-055.01628956607864e-06
1280.999994295953051.14080938999847e-055.70404694999234e-06
1290.999993749012311.25019753788937e-056.25098768944687e-06
1300.9999908038774271.83922451468537e-059.19612257342684e-06
1310.9999952421199189.51576016357175e-064.75788008178587e-06
1320.9999940414851951.19170296104478e-055.95851480522389e-06
1330.9999956859854228.62802915516922e-064.31401457758461e-06
1340.9999956656606488.66867870437468e-064.33433935218734e-06
1350.9999959971313428.00573731612695e-064.00286865806348e-06
1360.9999942190470941.15619058116351e-055.78095290581754e-06
1370.9999915309932141.6938013572594e-058.469006786297e-06
1380.9999947886645021.04226709955946e-055.21133549779732e-06
1390.9999928368804731.43262390536294e-057.1631195268147e-06
1400.9999895154984182.09690031633265e-051.04845015816632e-05
1410.9999861256674172.77486651656612e-051.38743325828306e-05
1420.9999820494923223.59010153570907e-051.79505076785453e-05
1430.9999792138740554.1572251890436e-052.0786125945218e-05
1440.9999711143437555.7771312489678e-052.8885656244839e-05
1450.999980707785243.85844295207265e-051.92922147603632e-05
1460.9999728572049425.4285590116671e-052.71427950583355e-05
1470.9999905275749621.89448500754948e-059.47242503774742e-06
1480.9999865946002022.68107995958837e-051.34053997979418e-05
1490.9999809526692753.80946614506771e-051.90473307253386e-05
1500.9999765412385444.6917522911648e-052.3458761455824e-05
1510.9999852740606242.94518787519541e-051.4725939375977e-05
1520.9999927088512711.45822974572522e-057.2911487286261e-06
1530.9999892448509152.1510298169285e-051.07551490846425e-05
1540.9999842720465833.14559068342346e-051.57279534171173e-05
1550.9999853169504952.93660990101986e-051.46830495050993e-05
1560.9999792689143884.14621712239673e-052.07310856119837e-05
1570.9999823962845753.52074308500264e-051.76037154250132e-05
1580.9999759146406084.81707187848928e-052.40853593924464e-05
1590.999975572119824.88557603601553e-052.44278801800777e-05
1600.9999683466470586.33067058832368e-053.16533529416184e-05
1610.999955542355338.89152893403145e-054.44576446701573e-05
1620.9999997290618525.4187629625738e-072.7093814812869e-07
1630.999999654211316.91577381906836e-073.45788690953418e-07
1640.9999997980206814.03958637444133e-072.01979318722066e-07
1650.9999997724035754.55192849171429e-072.27596424585714e-07
1660.9999998303712723.39257455510919e-071.69628727755459e-07
1670.9999997766148774.46770245802079e-072.2338512290104e-07
1680.9999997241411975.51717605794278e-072.75858802897139e-07
1690.999999643081057.13837901148524e-073.56918950574262e-07
1700.9999996323736137.35252773752718e-073.67626386876359e-07
1710.9999999862272922.75454164758896e-081.37727082379448e-08
1720.9999999817105643.65788722236087e-081.82894361118044e-08
1730.9999999753127124.93745757346273e-082.46872878673136e-08
1740.999999999962547.49214261896341e-113.7460713094817e-11
1750.9999999999813643.72724971364308e-111.86362485682154e-11
1760.999999999968966.20793190004769e-113.10396595002384e-11
1770.9999999999488741.0225226870756e-105.11261343537802e-11
1780.999999999922241.55520743817982e-107.77603719089912e-11
1790.9999999998683582.63283667490991e-101.31641833745496e-10
1800.9999999998129573.74086631207065e-101.87043315603533e-10
1810.9999999999289441.42112852632793e-107.10564263163966e-11
1820.9999999998780522.43895645079918e-101.21947822539959e-10
1830.9999999997772484.45504702302536e-102.22752351151268e-10
1840.9999999996178027.64396639834983e-103.82198319917492e-10
1850.9999999993172541.36549275010931e-096.82746375054653e-10
1860.9999999987793652.44127025380864e-091.22063512690432e-09
1870.9999999978928174.21436596173786e-092.10718298086893e-09
1880.9999999963649467.27010821468204e-093.63505410734102e-09
1890.9999999936847351.26305308113893e-086.31526540569467e-09
1900.9999999915501871.68996268239804e-088.44981341199021e-09
1910.999999986765552.64689009059496e-081.32344504529748e-08
1920.9999999810433453.79133104021876e-081.89566552010938e-08
1930.9999999854731032.90537948084171e-081.45268974042085e-08
1940.9999999983673563.265288449443e-091.6326442247215e-09
1950.9999999975416124.91677589331278e-092.45838794665639e-09
1960.9999999967809236.43815379287248e-093.21907689643624e-09
1970.9999999955544548.89109186318878e-094.44554593159439e-09
1980.9999999933818861.32362282806783e-086.61811414033914e-09
1990.9999999882265032.35469943117279e-081.1773497155864e-08
2000.9999999795057814.09884385381622e-082.04942192690811e-08
2010.9999999683025676.33948662910336e-083.16974331455168e-08
2020.9999999451599691.09680062517883e-075.48400312589413e-08
2030.9999999154225431.69154913457288e-078.45774567286439e-08
2040.9999998583637842.83272431883483e-071.41636215941742e-07
2050.9999998609308422.78138316697635e-071.39069158348817e-07
2060.9999997987973474.02405306137777e-072.01202653068888e-07
2070.9999996884189126.23162176503668e-073.11581088251834e-07
2080.9999995377781569.24443688418366e-074.62221844209183e-07
2090.9999993267243331.34655133362061e-066.73275666810306e-07
2100.999998908883972.18223205836487e-061.09111602918243e-06
2110.9999995994560648.01087871240965e-074.00543935620482e-07
2120.9999993686626461.26267470742505e-066.31337353712523e-07
2130.9999990495235531.9009528937011e-069.5047644685055e-07
2140.9999985400015422.91999691609834e-061.45999845804917e-06
2150.9999999763213434.73573143396876e-082.36786571698438e-08
2160.9999999680169226.3966155123384e-083.1983077561692e-08
2170.999999945618041.08763921033162e-075.43819605165809e-08
2180.9999999999774664.50679671939533e-112.25339835969767e-11
2190.9999999999881482.37030644578366e-111.18515322289183e-11
2200.9999999999760654.78707733294662e-112.39353866647331e-11
2210.9999999999547469.05077011108617e-114.52538505554309e-11
2220.9999999999999921.50767435927297e-147.53837179636484e-15
2230.9999999999999862.79808415189075e-141.39904207594538e-14
2240.9999999999999666.75778792230637e-143.37889396115318e-14
2250.9999999999999161.67991552526337e-138.39957762631685e-14
2260.9999999999999637.48409595494214e-143.74204797747107e-14
2270.9999999999999161.685634150587e-138.42817075293498e-14
2280.9999999999998143.71772361330335e-131.85886180665168e-13
2290.9999999999995429.16114665757354e-134.58057332878677e-13
2300.9999999999989562.08784757431987e-121.04392378715994e-12
2310.9999999999980753.84925992357073e-121.92462996178536e-12
2320.9999999999958058.38918869801667e-124.19459434900834e-12
2330.9999999999902651.94692372435344e-119.7346186217672e-12
2340.9999999999774264.51477943380845e-112.25738971690423e-11
2350.9999999999503479.93053783481508e-114.96526891740754e-11
2360.9999999998926372.14726728784222e-101.07363364392111e-10
2370.999999999782374.35261755006191e-102.17630877503095e-10
2380.999999999622097.55819104754215e-103.77909552377107e-10
2390.9999999992748231.45035319835116e-097.2517659917558e-10
2400.9999999983400943.31981216953199e-091.659906084766e-09
2410.9999999968068146.38637181720642e-093.19318590860321e-09
2420.9999999934319291.31361421796775e-086.56807108983876e-09
2430.9999999856214162.87571678773397e-081.43785839386698e-08
2440.9999999871749552.56500891497614e-081.28250445748807e-08
2450.9999999716831055.66337904392251e-082.83168952196125e-08
2460.999999934626921.30746159441736e-076.53730797208679e-08
2470.9999998515351532.96929694197202e-071.48464847098601e-07
2480.9999996792941346.41411732194405e-073.20705866097203e-07
2490.999999322537361.35492527905872e-066.77462639529358e-07
2500.9999986486793012.70264139746012e-061.35132069873006e-06
2510.9999975716117654.85677646948229e-062.42838823474114e-06
2520.999995595955528.80808896034425e-064.40404448017213e-06
2530.999990929518971.81409620597145e-059.07048102985725e-06
2540.9999849589045463.00821909089939e-051.50410954544969e-05
2550.9999700978737735.98042524530645e-052.99021262265322e-05
2560.9999423480187720.0001153039624562035.76519812281013e-05
2570.9998955157127230.0002089685745549940.000104484287277497
2580.9998247387513520.0003505224972957810.000175261248647891
2590.9996804405924750.0006391188150505930.000319559407525297
2600.9994221751250860.001155649749827580.00057782487491379
2610.9990574722350470.001885055529905010.000942527764952507
2620.9983057414405960.003388517118808250.00169425855940412
2630.9970967571604180.005806485679164370.00290324283958218
2640.9966750296197070.006649940760586670.00332497038029334
2650.9941874819482330.01162503610353340.00581251805176671
2660.9938396346719520.01232073065609520.0061603653280476
2670.9895186286972980.02096274260540380.0104813713027019
2680.9856121933929630.02877561321407460.0143878066070373
2690.9775604773403450.04487904531931050.0224395226596552
2700.9812119456333140.03757610873337290.0187880543666865
2710.9686283252646940.06274334947061190.031371674735306
2720.947085578782970.105828842434060.0529144212170302
2730.9163367192906690.1673265614186630.0836632807093315
2740.8787440114208330.2425119771583350.121255988579167
2750.8685824907139770.2628350185720460.131417509286023
2760.9751478207560010.04970435848799740.0248521792439987
2770.9981716504368350.003656699126329140.00182834956316457
2780.993669852941070.01266029411786070.00633014705893035
2790.9794430213953640.04111395720927230.0205569786046362
2800.9329152919437570.1341694161124850.0670847080562425

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
9 & 0.434273342848547 & 0.868546685697094 & 0.565726657151453 \tabularnewline
10 & 0.439526832803027 & 0.879053665606054 & 0.560473167196973 \tabularnewline
11 & 0.311034310062517 & 0.622068620125034 & 0.688965689937483 \tabularnewline
12 & 0.954291495486914 & 0.0914170090261727 & 0.0457085045130863 \tabularnewline
13 & 0.92476379210273 & 0.150472415794541 & 0.0752362078972705 \tabularnewline
14 & 0.924033375665645 & 0.151933248668709 & 0.0759666243343547 \tabularnewline
15 & 0.90651713825558 & 0.186965723488841 & 0.0934828617444207 \tabularnewline
16 & 0.9160779145481 & 0.1678441709038 & 0.0839220854519 \tabularnewline
17 & 0.95511142994231 & 0.0897771401153799 & 0.0448885700576899 \tabularnewline
18 & 0.950550384348355 & 0.0988992313032907 & 0.0494496156516454 \tabularnewline
19 & 0.9284263756597 & 0.143147248680598 & 0.0715736243402989 \tabularnewline
20 & 0.902375936066079 & 0.195248127867842 & 0.0976240639339211 \tabularnewline
21 & 0.92701516189124 & 0.145969676217519 & 0.0729848381087594 \tabularnewline
22 & 0.953136723962393 & 0.0937265520752132 & 0.0468632760376066 \tabularnewline
23 & 0.9389930247612 & 0.122013950477601 & 0.0610069752388007 \tabularnewline
24 & 0.930879984607474 & 0.138240030785052 & 0.069120015392526 \tabularnewline
25 & 0.912376346046459 & 0.175247307907082 & 0.0876236539535411 \tabularnewline
26 & 0.8975096282139 & 0.204980743572199 & 0.1024903717861 \tabularnewline
27 & 0.888449522078736 & 0.223100955842528 & 0.111550477921264 \tabularnewline
28 & 0.902448438974469 & 0.195103122051063 & 0.0975515610255314 \tabularnewline
29 & 0.89705749862202 & 0.205885002755959 & 0.10294250137798 \tabularnewline
30 & 0.900509851767376 & 0.198980296465248 & 0.0994901482326238 \tabularnewline
31 & 0.901993295194287 & 0.196013409611425 & 0.0980067048057126 \tabularnewline
32 & 0.875390514413344 & 0.249218971173312 & 0.124609485586656 \tabularnewline
33 & 0.89939680001009 & 0.20120639997982 & 0.10060319998991 \tabularnewline
34 & 0.908836200060231 & 0.182327599879538 & 0.0911637999397689 \tabularnewline
35 & 0.885116733411022 & 0.229766533177956 & 0.114883266588978 \tabularnewline
36 & 0.859212121857704 & 0.281575756284591 & 0.140787878142296 \tabularnewline
37 & 0.828345908516771 & 0.343308182966458 & 0.171654091483229 \tabularnewline
38 & 0.850357816802574 & 0.299284366394852 & 0.149642183197426 \tabularnewline
39 & 0.853867919997297 & 0.292264160005406 & 0.146132080002703 \tabularnewline
40 & 0.828929283639413 & 0.342141432721173 & 0.171070716360587 \tabularnewline
41 & 0.798180425946668 & 0.403639148106663 & 0.201819574053332 \tabularnewline
42 & 0.761369823546338 & 0.477260352907323 & 0.238630176453662 \tabularnewline
43 & 0.727027988158307 & 0.545944023683386 & 0.272972011841693 \tabularnewline
44 & 0.697551909112598 & 0.604896181774803 & 0.302448090887402 \tabularnewline
45 & 0.952228176717345 & 0.0955436465653095 & 0.0477718232826547 \tabularnewline
46 & 0.945937801647844 & 0.108124396704312 & 0.0540621983521561 \tabularnewline
47 & 0.934946712878417 & 0.130106574243167 & 0.0650532871215834 \tabularnewline
48 & 0.93167936739386 & 0.136641265212279 & 0.0683206326061394 \tabularnewline
49 & 0.917111935017745 & 0.16577612996451 & 0.082888064982255 \tabularnewline
50 & 0.949353689547696 & 0.101292620904608 & 0.0506463104523042 \tabularnewline
51 & 0.938315415036291 & 0.123369169927417 & 0.0616845849637087 \tabularnewline
52 & 0.92741884555774 & 0.145162308884521 & 0.0725811544422605 \tabularnewline
53 & 0.94533230626953 & 0.109335387460941 & 0.0546676937304705 \tabularnewline
54 & 0.969172986394107 & 0.0616540272117862 & 0.0308270136058931 \tabularnewline
55 & 0.96107108118814 & 0.0778578376237178 & 0.0389289188118589 \tabularnewline
56 & 0.959322582012685 & 0.0813548359746297 & 0.0406774179873148 \tabularnewline
57 & 0.949173504970371 & 0.101652990059258 & 0.0508264950296289 \tabularnewline
58 & 0.966547960144914 & 0.0669040797101724 & 0.0334520398550862 \tabularnewline
59 & 0.969299022609743 & 0.0614019547805143 & 0.0307009773902572 \tabularnewline
60 & 0.965408875648977 & 0.0691822487020469 & 0.0345911243510235 \tabularnewline
61 & 0.959233222646228 & 0.0815335547075435 & 0.0407667773537717 \tabularnewline
62 & 0.949605384563489 & 0.100789230873023 & 0.0503946154365114 \tabularnewline
63 & 0.940289496979298 & 0.119421006041403 & 0.0597105030207017 \tabularnewline
64 & 0.927814176602964 & 0.144371646794073 & 0.0721858233970364 \tabularnewline
65 & 0.927895871402408 & 0.144208257195184 & 0.0721041285975918 \tabularnewline
66 & 0.928341533876251 & 0.143316932247499 & 0.0716584661237493 \tabularnewline
67 & 0.996191308970898 & 0.00761738205820379 & 0.00380869102910189 \tabularnewline
68 & 0.99826670933994 & 0.00346658132011957 & 0.00173329066005978 \tabularnewline
69 & 0.999745709379287 & 0.000508581241425293 & 0.000254290620712647 \tabularnewline
70 & 0.999884673262774 & 0.000230653474452814 & 0.000115326737226407 \tabularnewline
71 & 0.99994245020628 & 0.000115099587439294 & 5.7549793719647e-05 \tabularnewline
72 & 0.999923805566685 & 0.000152388866629926 & 7.6194433314963e-05 \tabularnewline
73 & 0.99991024113124 & 0.000179517737521099 & 8.97588687605495e-05 \tabularnewline
74 & 0.999892982981795 & 0.000214034036410535 & 0.000107017018205268 \tabularnewline
75 & 0.99993588375175 & 0.00012823249649906 & 6.411624824953e-05 \tabularnewline
76 & 0.999907032654516 & 0.000185934690967657 & 9.29673454838283e-05 \tabularnewline
77 & 0.999941866613149 & 0.000116266773702367 & 5.81333868511833e-05 \tabularnewline
78 & 0.999998057809922 & 3.88438015522052e-06 & 1.94219007761026e-06 \tabularnewline
79 & 0.999998704168807 & 2.59166238546782e-06 & 1.29583119273391e-06 \tabularnewline
80 & 0.999998650863956 & 2.6982720885463e-06 & 1.34913604427315e-06 \tabularnewline
81 & 0.999997980937492 & 4.03812501653538e-06 & 2.01906250826769e-06 \tabularnewline
82 & 0.999998271088625 & 3.45782275079088e-06 & 1.72891137539544e-06 \tabularnewline
83 & 0.999997729251611 & 4.5414967778397e-06 & 2.27074838891985e-06 \tabularnewline
84 & 0.999996561365483 & 6.87726903409454e-06 & 3.43863451704727e-06 \tabularnewline
85 & 0.999996868417348 & 6.2631653043275e-06 & 3.13158265216375e-06 \tabularnewline
86 & 0.999995359924758 & 9.28015048334023e-06 & 4.64007524167011e-06 \tabularnewline
87 & 0.99999652366739 & 6.95266521864018e-06 & 3.47633260932009e-06 \tabularnewline
88 & 0.99999502515011 & 9.94969977942007e-06 & 4.97484988971004e-06 \tabularnewline
89 & 0.999995467775402 & 9.06444919589113e-06 & 4.53222459794556e-06 \tabularnewline
90 & 0.999994353023838 & 1.12939523239433e-05 & 5.64697616197167e-06 \tabularnewline
91 & 0.999992143305964 & 1.57133880725945e-05 & 7.85669403629723e-06 \tabularnewline
92 & 0.999988326921483 & 2.33461570333012e-05 & 1.16730785166506e-05 \tabularnewline
93 & 0.999988962945501 & 2.20741089971927e-05 & 1.10370544985963e-05 \tabularnewline
94 & 0.999987942103335 & 2.41157933292053e-05 & 1.20578966646027e-05 \tabularnewline
95 & 0.999986035312626 & 2.7929374748258e-05 & 1.3964687374129e-05 \tabularnewline
96 & 0.999986818855938 & 2.63622881248022e-05 & 1.31811440624011e-05 \tabularnewline
97 & 0.999991573847512 & 1.68523049763438e-05 & 8.4261524881719e-06 \tabularnewline
98 & 0.9999903434171 & 1.93131657995582e-05 & 9.6565828997791e-06 \tabularnewline
99 & 0.999987315003047 & 2.53699939063963e-05 & 1.26849969531982e-05 \tabularnewline
100 & 0.999981658976998 & 3.66820460048486e-05 & 1.83410230024243e-05 \tabularnewline
101 & 0.99998724707246 & 2.55058550796856e-05 & 1.27529275398428e-05 \tabularnewline
102 & 0.999984577825777 & 3.0844348446307e-05 & 1.54221742231535e-05 \tabularnewline
103 & 0.99997858934102 & 4.28213179604159e-05 & 2.14106589802079e-05 \tabularnewline
104 & 0.999969967617512 & 6.00647649766614e-05 & 3.00323824883307e-05 \tabularnewline
105 & 0.99995817393896 & 8.36521220789726e-05 & 4.18260610394863e-05 \tabularnewline
106 & 0.999945732079672 & 0.000108535840655365 & 5.42679203276824e-05 \tabularnewline
107 & 0.999977309391538 & 4.53812169231044e-05 & 2.26906084615522e-05 \tabularnewline
108 & 0.999970381473025 & 5.92370539497936e-05 & 2.96185269748968e-05 \tabularnewline
109 & 0.99999927458163 & 1.45083674011951e-06 & 7.25418370059754e-07 \tabularnewline
110 & 0.999999543928152 & 9.12143696687012e-07 & 4.56071848343506e-07 \tabularnewline
111 & 0.999999456113821 & 1.08777235801662e-06 & 5.43886179008311e-07 \tabularnewline
112 & 0.999999497343797 & 1.00531240584651e-06 & 5.02656202923254e-07 \tabularnewline
113 & 0.999999438549114 & 1.12290177269953e-06 & 5.61450886349766e-07 \tabularnewline
114 & 0.999999658859344 & 6.82281311675506e-07 & 3.41140655837753e-07 \tabularnewline
115 & 0.999999580120638 & 8.39758724536379e-07 & 4.1987936226819e-07 \tabularnewline
116 & 0.999999454658146 & 1.09068370788338e-06 & 5.4534185394169e-07 \tabularnewline
117 & 0.999999248576727 & 1.50284654699267e-06 & 7.51423273496335e-07 \tabularnewline
118 & 0.99999889881604 & 2.20236792066284e-06 & 1.10118396033142e-06 \tabularnewline
119 & 0.99999885303503 & 2.29392994045195e-06 & 1.14696497022597e-06 \tabularnewline
120 & 0.999998271756968 & 3.45648606360151e-06 & 1.72824303180076e-06 \tabularnewline
121 & 0.999997691891897 & 4.61621620654115e-06 & 2.30810810327058e-06 \tabularnewline
122 & 0.999996705650153 & 6.58869969322476e-06 & 3.29434984661238e-06 \tabularnewline
123 & 0.999996446869846 & 7.10626030867757e-06 & 3.55313015433878e-06 \tabularnewline
124 & 0.999996052821668 & 7.8943566648481e-06 & 3.94717833242405e-06 \tabularnewline
125 & 0.9999945759676 & 1.08480647998024e-05 & 5.42403239990119e-06 \tabularnewline
126 & 0.999995821154332 & 8.3576913362278e-06 & 4.1788456681139e-06 \tabularnewline
127 & 0.999994983710434 & 1.00325791321573e-05 & 5.01628956607864e-06 \tabularnewline
128 & 0.99999429595305 & 1.14080938999847e-05 & 5.70404694999234e-06 \tabularnewline
129 & 0.99999374901231 & 1.25019753788937e-05 & 6.25098768944687e-06 \tabularnewline
130 & 0.999990803877427 & 1.83922451468537e-05 & 9.19612257342684e-06 \tabularnewline
131 & 0.999995242119918 & 9.51576016357175e-06 & 4.75788008178587e-06 \tabularnewline
132 & 0.999994041485195 & 1.19170296104478e-05 & 5.95851480522389e-06 \tabularnewline
133 & 0.999995685985422 & 8.62802915516922e-06 & 4.31401457758461e-06 \tabularnewline
134 & 0.999995665660648 & 8.66867870437468e-06 & 4.33433935218734e-06 \tabularnewline
135 & 0.999995997131342 & 8.00573731612695e-06 & 4.00286865806348e-06 \tabularnewline
136 & 0.999994219047094 & 1.15619058116351e-05 & 5.78095290581754e-06 \tabularnewline
137 & 0.999991530993214 & 1.6938013572594e-05 & 8.469006786297e-06 \tabularnewline
138 & 0.999994788664502 & 1.04226709955946e-05 & 5.21133549779732e-06 \tabularnewline
139 & 0.999992836880473 & 1.43262390536294e-05 & 7.1631195268147e-06 \tabularnewline
140 & 0.999989515498418 & 2.09690031633265e-05 & 1.04845015816632e-05 \tabularnewline
141 & 0.999986125667417 & 2.77486651656612e-05 & 1.38743325828306e-05 \tabularnewline
142 & 0.999982049492322 & 3.59010153570907e-05 & 1.79505076785453e-05 \tabularnewline
143 & 0.999979213874055 & 4.1572251890436e-05 & 2.0786125945218e-05 \tabularnewline
144 & 0.999971114343755 & 5.7771312489678e-05 & 2.8885656244839e-05 \tabularnewline
145 & 0.99998070778524 & 3.85844295207265e-05 & 1.92922147603632e-05 \tabularnewline
146 & 0.999972857204942 & 5.4285590116671e-05 & 2.71427950583355e-05 \tabularnewline
147 & 0.999990527574962 & 1.89448500754948e-05 & 9.47242503774742e-06 \tabularnewline
148 & 0.999986594600202 & 2.68107995958837e-05 & 1.34053997979418e-05 \tabularnewline
149 & 0.999980952669275 & 3.80946614506771e-05 & 1.90473307253386e-05 \tabularnewline
150 & 0.999976541238544 & 4.6917522911648e-05 & 2.3458761455824e-05 \tabularnewline
151 & 0.999985274060624 & 2.94518787519541e-05 & 1.4725939375977e-05 \tabularnewline
152 & 0.999992708851271 & 1.45822974572522e-05 & 7.2911487286261e-06 \tabularnewline
153 & 0.999989244850915 & 2.1510298169285e-05 & 1.07551490846425e-05 \tabularnewline
154 & 0.999984272046583 & 3.14559068342346e-05 & 1.57279534171173e-05 \tabularnewline
155 & 0.999985316950495 & 2.93660990101986e-05 & 1.46830495050993e-05 \tabularnewline
156 & 0.999979268914388 & 4.14621712239673e-05 & 2.07310856119837e-05 \tabularnewline
157 & 0.999982396284575 & 3.52074308500264e-05 & 1.76037154250132e-05 \tabularnewline
158 & 0.999975914640608 & 4.81707187848928e-05 & 2.40853593924464e-05 \tabularnewline
159 & 0.99997557211982 & 4.88557603601553e-05 & 2.44278801800777e-05 \tabularnewline
160 & 0.999968346647058 & 6.33067058832368e-05 & 3.16533529416184e-05 \tabularnewline
161 & 0.99995554235533 & 8.89152893403145e-05 & 4.44576446701573e-05 \tabularnewline
162 & 0.999999729061852 & 5.4187629625738e-07 & 2.7093814812869e-07 \tabularnewline
163 & 0.99999965421131 & 6.91577381906836e-07 & 3.45788690953418e-07 \tabularnewline
164 & 0.999999798020681 & 4.03958637444133e-07 & 2.01979318722066e-07 \tabularnewline
165 & 0.999999772403575 & 4.55192849171429e-07 & 2.27596424585714e-07 \tabularnewline
166 & 0.999999830371272 & 3.39257455510919e-07 & 1.69628727755459e-07 \tabularnewline
167 & 0.999999776614877 & 4.46770245802079e-07 & 2.2338512290104e-07 \tabularnewline
168 & 0.999999724141197 & 5.51717605794278e-07 & 2.75858802897139e-07 \tabularnewline
169 & 0.99999964308105 & 7.13837901148524e-07 & 3.56918950574262e-07 \tabularnewline
170 & 0.999999632373613 & 7.35252773752718e-07 & 3.67626386876359e-07 \tabularnewline
171 & 0.999999986227292 & 2.75454164758896e-08 & 1.37727082379448e-08 \tabularnewline
172 & 0.999999981710564 & 3.65788722236087e-08 & 1.82894361118044e-08 \tabularnewline
173 & 0.999999975312712 & 4.93745757346273e-08 & 2.46872878673136e-08 \tabularnewline
174 & 0.99999999996254 & 7.49214261896341e-11 & 3.7460713094817e-11 \tabularnewline
175 & 0.999999999981364 & 3.72724971364308e-11 & 1.86362485682154e-11 \tabularnewline
176 & 0.99999999996896 & 6.20793190004769e-11 & 3.10396595002384e-11 \tabularnewline
177 & 0.999999999948874 & 1.0225226870756e-10 & 5.11261343537802e-11 \tabularnewline
178 & 0.99999999992224 & 1.55520743817982e-10 & 7.77603719089912e-11 \tabularnewline
179 & 0.999999999868358 & 2.63283667490991e-10 & 1.31641833745496e-10 \tabularnewline
180 & 0.999999999812957 & 3.74086631207065e-10 & 1.87043315603533e-10 \tabularnewline
181 & 0.999999999928944 & 1.42112852632793e-10 & 7.10564263163966e-11 \tabularnewline
182 & 0.999999999878052 & 2.43895645079918e-10 & 1.21947822539959e-10 \tabularnewline
183 & 0.999999999777248 & 4.45504702302536e-10 & 2.22752351151268e-10 \tabularnewline
184 & 0.999999999617802 & 7.64396639834983e-10 & 3.82198319917492e-10 \tabularnewline
185 & 0.999999999317254 & 1.36549275010931e-09 & 6.82746375054653e-10 \tabularnewline
186 & 0.999999998779365 & 2.44127025380864e-09 & 1.22063512690432e-09 \tabularnewline
187 & 0.999999997892817 & 4.21436596173786e-09 & 2.10718298086893e-09 \tabularnewline
188 & 0.999999996364946 & 7.27010821468204e-09 & 3.63505410734102e-09 \tabularnewline
189 & 0.999999993684735 & 1.26305308113893e-08 & 6.31526540569467e-09 \tabularnewline
190 & 0.999999991550187 & 1.68996268239804e-08 & 8.44981341199021e-09 \tabularnewline
191 & 0.99999998676555 & 2.64689009059496e-08 & 1.32344504529748e-08 \tabularnewline
192 & 0.999999981043345 & 3.79133104021876e-08 & 1.89566552010938e-08 \tabularnewline
193 & 0.999999985473103 & 2.90537948084171e-08 & 1.45268974042085e-08 \tabularnewline
194 & 0.999999998367356 & 3.265288449443e-09 & 1.6326442247215e-09 \tabularnewline
195 & 0.999999997541612 & 4.91677589331278e-09 & 2.45838794665639e-09 \tabularnewline
196 & 0.999999996780923 & 6.43815379287248e-09 & 3.21907689643624e-09 \tabularnewline
197 & 0.999999995554454 & 8.89109186318878e-09 & 4.44554593159439e-09 \tabularnewline
198 & 0.999999993381886 & 1.32362282806783e-08 & 6.61811414033914e-09 \tabularnewline
199 & 0.999999988226503 & 2.35469943117279e-08 & 1.1773497155864e-08 \tabularnewline
200 & 0.999999979505781 & 4.09884385381622e-08 & 2.04942192690811e-08 \tabularnewline
201 & 0.999999968302567 & 6.33948662910336e-08 & 3.16974331455168e-08 \tabularnewline
202 & 0.999999945159969 & 1.09680062517883e-07 & 5.48400312589413e-08 \tabularnewline
203 & 0.999999915422543 & 1.69154913457288e-07 & 8.45774567286439e-08 \tabularnewline
204 & 0.999999858363784 & 2.83272431883483e-07 & 1.41636215941742e-07 \tabularnewline
205 & 0.999999860930842 & 2.78138316697635e-07 & 1.39069158348817e-07 \tabularnewline
206 & 0.999999798797347 & 4.02405306137777e-07 & 2.01202653068888e-07 \tabularnewline
207 & 0.999999688418912 & 6.23162176503668e-07 & 3.11581088251834e-07 \tabularnewline
208 & 0.999999537778156 & 9.24443688418366e-07 & 4.62221844209183e-07 \tabularnewline
209 & 0.999999326724333 & 1.34655133362061e-06 & 6.73275666810306e-07 \tabularnewline
210 & 0.99999890888397 & 2.18223205836487e-06 & 1.09111602918243e-06 \tabularnewline
211 & 0.999999599456064 & 8.01087871240965e-07 & 4.00543935620482e-07 \tabularnewline
212 & 0.999999368662646 & 1.26267470742505e-06 & 6.31337353712523e-07 \tabularnewline
213 & 0.999999049523553 & 1.9009528937011e-06 & 9.5047644685055e-07 \tabularnewline
214 & 0.999998540001542 & 2.91999691609834e-06 & 1.45999845804917e-06 \tabularnewline
215 & 0.999999976321343 & 4.73573143396876e-08 & 2.36786571698438e-08 \tabularnewline
216 & 0.999999968016922 & 6.3966155123384e-08 & 3.1983077561692e-08 \tabularnewline
217 & 0.99999994561804 & 1.08763921033162e-07 & 5.43819605165809e-08 \tabularnewline
218 & 0.999999999977466 & 4.50679671939533e-11 & 2.25339835969767e-11 \tabularnewline
219 & 0.999999999988148 & 2.37030644578366e-11 & 1.18515322289183e-11 \tabularnewline
220 & 0.999999999976065 & 4.78707733294662e-11 & 2.39353866647331e-11 \tabularnewline
221 & 0.999999999954746 & 9.05077011108617e-11 & 4.52538505554309e-11 \tabularnewline
222 & 0.999999999999992 & 1.50767435927297e-14 & 7.53837179636484e-15 \tabularnewline
223 & 0.999999999999986 & 2.79808415189075e-14 & 1.39904207594538e-14 \tabularnewline
224 & 0.999999999999966 & 6.75778792230637e-14 & 3.37889396115318e-14 \tabularnewline
225 & 0.999999999999916 & 1.67991552526337e-13 & 8.39957762631685e-14 \tabularnewline
226 & 0.999999999999963 & 7.48409595494214e-14 & 3.74204797747107e-14 \tabularnewline
227 & 0.999999999999916 & 1.685634150587e-13 & 8.42817075293498e-14 \tabularnewline
228 & 0.999999999999814 & 3.71772361330335e-13 & 1.85886180665168e-13 \tabularnewline
229 & 0.999999999999542 & 9.16114665757354e-13 & 4.58057332878677e-13 \tabularnewline
230 & 0.999999999998956 & 2.08784757431987e-12 & 1.04392378715994e-12 \tabularnewline
231 & 0.999999999998075 & 3.84925992357073e-12 & 1.92462996178536e-12 \tabularnewline
232 & 0.999999999995805 & 8.38918869801667e-12 & 4.19459434900834e-12 \tabularnewline
233 & 0.999999999990265 & 1.94692372435344e-11 & 9.7346186217672e-12 \tabularnewline
234 & 0.999999999977426 & 4.51477943380845e-11 & 2.25738971690423e-11 \tabularnewline
235 & 0.999999999950347 & 9.93053783481508e-11 & 4.96526891740754e-11 \tabularnewline
236 & 0.999999999892637 & 2.14726728784222e-10 & 1.07363364392111e-10 \tabularnewline
237 & 0.99999999978237 & 4.35261755006191e-10 & 2.17630877503095e-10 \tabularnewline
238 & 0.99999999962209 & 7.55819104754215e-10 & 3.77909552377107e-10 \tabularnewline
239 & 0.999999999274823 & 1.45035319835116e-09 & 7.2517659917558e-10 \tabularnewline
240 & 0.999999998340094 & 3.31981216953199e-09 & 1.659906084766e-09 \tabularnewline
241 & 0.999999996806814 & 6.38637181720642e-09 & 3.19318590860321e-09 \tabularnewline
242 & 0.999999993431929 & 1.31361421796775e-08 & 6.56807108983876e-09 \tabularnewline
243 & 0.999999985621416 & 2.87571678773397e-08 & 1.43785839386698e-08 \tabularnewline
244 & 0.999999987174955 & 2.56500891497614e-08 & 1.28250445748807e-08 \tabularnewline
245 & 0.999999971683105 & 5.66337904392251e-08 & 2.83168952196125e-08 \tabularnewline
246 & 0.99999993462692 & 1.30746159441736e-07 & 6.53730797208679e-08 \tabularnewline
247 & 0.999999851535153 & 2.96929694197202e-07 & 1.48464847098601e-07 \tabularnewline
248 & 0.999999679294134 & 6.41411732194405e-07 & 3.20705866097203e-07 \tabularnewline
249 & 0.99999932253736 & 1.35492527905872e-06 & 6.77462639529358e-07 \tabularnewline
250 & 0.999998648679301 & 2.70264139746012e-06 & 1.35132069873006e-06 \tabularnewline
251 & 0.999997571611765 & 4.85677646948229e-06 & 2.42838823474114e-06 \tabularnewline
252 & 0.99999559595552 & 8.80808896034425e-06 & 4.40404448017213e-06 \tabularnewline
253 & 0.99999092951897 & 1.81409620597145e-05 & 9.07048102985725e-06 \tabularnewline
254 & 0.999984958904546 & 3.00821909089939e-05 & 1.50410954544969e-05 \tabularnewline
255 & 0.999970097873773 & 5.98042524530645e-05 & 2.99021262265322e-05 \tabularnewline
256 & 0.999942348018772 & 0.000115303962456203 & 5.76519812281013e-05 \tabularnewline
257 & 0.999895515712723 & 0.000208968574554994 & 0.000104484287277497 \tabularnewline
258 & 0.999824738751352 & 0.000350522497295781 & 0.000175261248647891 \tabularnewline
259 & 0.999680440592475 & 0.000639118815050593 & 0.000319559407525297 \tabularnewline
260 & 0.999422175125086 & 0.00115564974982758 & 0.00057782487491379 \tabularnewline
261 & 0.999057472235047 & 0.00188505552990501 & 0.000942527764952507 \tabularnewline
262 & 0.998305741440596 & 0.00338851711880825 & 0.00169425855940412 \tabularnewline
263 & 0.997096757160418 & 0.00580648567916437 & 0.00290324283958218 \tabularnewline
264 & 0.996675029619707 & 0.00664994076058667 & 0.00332497038029334 \tabularnewline
265 & 0.994187481948233 & 0.0116250361035334 & 0.00581251805176671 \tabularnewline
266 & 0.993839634671952 & 0.0123207306560952 & 0.0061603653280476 \tabularnewline
267 & 0.989518628697298 & 0.0209627426054038 & 0.0104813713027019 \tabularnewline
268 & 0.985612193392963 & 0.0287756132140746 & 0.0143878066070373 \tabularnewline
269 & 0.977560477340345 & 0.0448790453193105 & 0.0224395226596552 \tabularnewline
270 & 0.981211945633314 & 0.0375761087333729 & 0.0187880543666865 \tabularnewline
271 & 0.968628325264694 & 0.0627433494706119 & 0.031371674735306 \tabularnewline
272 & 0.94708557878297 & 0.10582884243406 & 0.0529144212170302 \tabularnewline
273 & 0.916336719290669 & 0.167326561418663 & 0.0836632807093315 \tabularnewline
274 & 0.878744011420833 & 0.242511977158335 & 0.121255988579167 \tabularnewline
275 & 0.868582490713977 & 0.262835018572046 & 0.131417509286023 \tabularnewline
276 & 0.975147820756001 & 0.0497043584879974 & 0.0248521792439987 \tabularnewline
277 & 0.998171650436835 & 0.00365669912632914 & 0.00182834956316457 \tabularnewline
278 & 0.99366985294107 & 0.0126602941178607 & 0.00633014705893035 \tabularnewline
279 & 0.979443021395364 & 0.0411139572092723 & 0.0205569786046362 \tabularnewline
280 & 0.932915291943757 & 0.134169416112485 & 0.0670847080562425 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155454&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]0.434273342848547[/C][C]0.868546685697094[/C][C]0.565726657151453[/C][/ROW]
[ROW][C]10[/C][C]0.439526832803027[/C][C]0.879053665606054[/C][C]0.560473167196973[/C][/ROW]
[ROW][C]11[/C][C]0.311034310062517[/C][C]0.622068620125034[/C][C]0.688965689937483[/C][/ROW]
[ROW][C]12[/C][C]0.954291495486914[/C][C]0.0914170090261727[/C][C]0.0457085045130863[/C][/ROW]
[ROW][C]13[/C][C]0.92476379210273[/C][C]0.150472415794541[/C][C]0.0752362078972705[/C][/ROW]
[ROW][C]14[/C][C]0.924033375665645[/C][C]0.151933248668709[/C][C]0.0759666243343547[/C][/ROW]
[ROW][C]15[/C][C]0.90651713825558[/C][C]0.186965723488841[/C][C]0.0934828617444207[/C][/ROW]
[ROW][C]16[/C][C]0.9160779145481[/C][C]0.1678441709038[/C][C]0.0839220854519[/C][/ROW]
[ROW][C]17[/C][C]0.95511142994231[/C][C]0.0897771401153799[/C][C]0.0448885700576899[/C][/ROW]
[ROW][C]18[/C][C]0.950550384348355[/C][C]0.0988992313032907[/C][C]0.0494496156516454[/C][/ROW]
[ROW][C]19[/C][C]0.9284263756597[/C][C]0.143147248680598[/C][C]0.0715736243402989[/C][/ROW]
[ROW][C]20[/C][C]0.902375936066079[/C][C]0.195248127867842[/C][C]0.0976240639339211[/C][/ROW]
[ROW][C]21[/C][C]0.92701516189124[/C][C]0.145969676217519[/C][C]0.0729848381087594[/C][/ROW]
[ROW][C]22[/C][C]0.953136723962393[/C][C]0.0937265520752132[/C][C]0.0468632760376066[/C][/ROW]
[ROW][C]23[/C][C]0.9389930247612[/C][C]0.122013950477601[/C][C]0.0610069752388007[/C][/ROW]
[ROW][C]24[/C][C]0.930879984607474[/C][C]0.138240030785052[/C][C]0.069120015392526[/C][/ROW]
[ROW][C]25[/C][C]0.912376346046459[/C][C]0.175247307907082[/C][C]0.0876236539535411[/C][/ROW]
[ROW][C]26[/C][C]0.8975096282139[/C][C]0.204980743572199[/C][C]0.1024903717861[/C][/ROW]
[ROW][C]27[/C][C]0.888449522078736[/C][C]0.223100955842528[/C][C]0.111550477921264[/C][/ROW]
[ROW][C]28[/C][C]0.902448438974469[/C][C]0.195103122051063[/C][C]0.0975515610255314[/C][/ROW]
[ROW][C]29[/C][C]0.89705749862202[/C][C]0.205885002755959[/C][C]0.10294250137798[/C][/ROW]
[ROW][C]30[/C][C]0.900509851767376[/C][C]0.198980296465248[/C][C]0.0994901482326238[/C][/ROW]
[ROW][C]31[/C][C]0.901993295194287[/C][C]0.196013409611425[/C][C]0.0980067048057126[/C][/ROW]
[ROW][C]32[/C][C]0.875390514413344[/C][C]0.249218971173312[/C][C]0.124609485586656[/C][/ROW]
[ROW][C]33[/C][C]0.89939680001009[/C][C]0.20120639997982[/C][C]0.10060319998991[/C][/ROW]
[ROW][C]34[/C][C]0.908836200060231[/C][C]0.182327599879538[/C][C]0.0911637999397689[/C][/ROW]
[ROW][C]35[/C][C]0.885116733411022[/C][C]0.229766533177956[/C][C]0.114883266588978[/C][/ROW]
[ROW][C]36[/C][C]0.859212121857704[/C][C]0.281575756284591[/C][C]0.140787878142296[/C][/ROW]
[ROW][C]37[/C][C]0.828345908516771[/C][C]0.343308182966458[/C][C]0.171654091483229[/C][/ROW]
[ROW][C]38[/C][C]0.850357816802574[/C][C]0.299284366394852[/C][C]0.149642183197426[/C][/ROW]
[ROW][C]39[/C][C]0.853867919997297[/C][C]0.292264160005406[/C][C]0.146132080002703[/C][/ROW]
[ROW][C]40[/C][C]0.828929283639413[/C][C]0.342141432721173[/C][C]0.171070716360587[/C][/ROW]
[ROW][C]41[/C][C]0.798180425946668[/C][C]0.403639148106663[/C][C]0.201819574053332[/C][/ROW]
[ROW][C]42[/C][C]0.761369823546338[/C][C]0.477260352907323[/C][C]0.238630176453662[/C][/ROW]
[ROW][C]43[/C][C]0.727027988158307[/C][C]0.545944023683386[/C][C]0.272972011841693[/C][/ROW]
[ROW][C]44[/C][C]0.697551909112598[/C][C]0.604896181774803[/C][C]0.302448090887402[/C][/ROW]
[ROW][C]45[/C][C]0.952228176717345[/C][C]0.0955436465653095[/C][C]0.0477718232826547[/C][/ROW]
[ROW][C]46[/C][C]0.945937801647844[/C][C]0.108124396704312[/C][C]0.0540621983521561[/C][/ROW]
[ROW][C]47[/C][C]0.934946712878417[/C][C]0.130106574243167[/C][C]0.0650532871215834[/C][/ROW]
[ROW][C]48[/C][C]0.93167936739386[/C][C]0.136641265212279[/C][C]0.0683206326061394[/C][/ROW]
[ROW][C]49[/C][C]0.917111935017745[/C][C]0.16577612996451[/C][C]0.082888064982255[/C][/ROW]
[ROW][C]50[/C][C]0.949353689547696[/C][C]0.101292620904608[/C][C]0.0506463104523042[/C][/ROW]
[ROW][C]51[/C][C]0.938315415036291[/C][C]0.123369169927417[/C][C]0.0616845849637087[/C][/ROW]
[ROW][C]52[/C][C]0.92741884555774[/C][C]0.145162308884521[/C][C]0.0725811544422605[/C][/ROW]
[ROW][C]53[/C][C]0.94533230626953[/C][C]0.109335387460941[/C][C]0.0546676937304705[/C][/ROW]
[ROW][C]54[/C][C]0.969172986394107[/C][C]0.0616540272117862[/C][C]0.0308270136058931[/C][/ROW]
[ROW][C]55[/C][C]0.96107108118814[/C][C]0.0778578376237178[/C][C]0.0389289188118589[/C][/ROW]
[ROW][C]56[/C][C]0.959322582012685[/C][C]0.0813548359746297[/C][C]0.0406774179873148[/C][/ROW]
[ROW][C]57[/C][C]0.949173504970371[/C][C]0.101652990059258[/C][C]0.0508264950296289[/C][/ROW]
[ROW][C]58[/C][C]0.966547960144914[/C][C]0.0669040797101724[/C][C]0.0334520398550862[/C][/ROW]
[ROW][C]59[/C][C]0.969299022609743[/C][C]0.0614019547805143[/C][C]0.0307009773902572[/C][/ROW]
[ROW][C]60[/C][C]0.965408875648977[/C][C]0.0691822487020469[/C][C]0.0345911243510235[/C][/ROW]
[ROW][C]61[/C][C]0.959233222646228[/C][C]0.0815335547075435[/C][C]0.0407667773537717[/C][/ROW]
[ROW][C]62[/C][C]0.949605384563489[/C][C]0.100789230873023[/C][C]0.0503946154365114[/C][/ROW]
[ROW][C]63[/C][C]0.940289496979298[/C][C]0.119421006041403[/C][C]0.0597105030207017[/C][/ROW]
[ROW][C]64[/C][C]0.927814176602964[/C][C]0.144371646794073[/C][C]0.0721858233970364[/C][/ROW]
[ROW][C]65[/C][C]0.927895871402408[/C][C]0.144208257195184[/C][C]0.0721041285975918[/C][/ROW]
[ROW][C]66[/C][C]0.928341533876251[/C][C]0.143316932247499[/C][C]0.0716584661237493[/C][/ROW]
[ROW][C]67[/C][C]0.996191308970898[/C][C]0.00761738205820379[/C][C]0.00380869102910189[/C][/ROW]
[ROW][C]68[/C][C]0.99826670933994[/C][C]0.00346658132011957[/C][C]0.00173329066005978[/C][/ROW]
[ROW][C]69[/C][C]0.999745709379287[/C][C]0.000508581241425293[/C][C]0.000254290620712647[/C][/ROW]
[ROW][C]70[/C][C]0.999884673262774[/C][C]0.000230653474452814[/C][C]0.000115326737226407[/C][/ROW]
[ROW][C]71[/C][C]0.99994245020628[/C][C]0.000115099587439294[/C][C]5.7549793719647e-05[/C][/ROW]
[ROW][C]72[/C][C]0.999923805566685[/C][C]0.000152388866629926[/C][C]7.6194433314963e-05[/C][/ROW]
[ROW][C]73[/C][C]0.99991024113124[/C][C]0.000179517737521099[/C][C]8.97588687605495e-05[/C][/ROW]
[ROW][C]74[/C][C]0.999892982981795[/C][C]0.000214034036410535[/C][C]0.000107017018205268[/C][/ROW]
[ROW][C]75[/C][C]0.99993588375175[/C][C]0.00012823249649906[/C][C]6.411624824953e-05[/C][/ROW]
[ROW][C]76[/C][C]0.999907032654516[/C][C]0.000185934690967657[/C][C]9.29673454838283e-05[/C][/ROW]
[ROW][C]77[/C][C]0.999941866613149[/C][C]0.000116266773702367[/C][C]5.81333868511833e-05[/C][/ROW]
[ROW][C]78[/C][C]0.999998057809922[/C][C]3.88438015522052e-06[/C][C]1.94219007761026e-06[/C][/ROW]
[ROW][C]79[/C][C]0.999998704168807[/C][C]2.59166238546782e-06[/C][C]1.29583119273391e-06[/C][/ROW]
[ROW][C]80[/C][C]0.999998650863956[/C][C]2.6982720885463e-06[/C][C]1.34913604427315e-06[/C][/ROW]
[ROW][C]81[/C][C]0.999997980937492[/C][C]4.03812501653538e-06[/C][C]2.01906250826769e-06[/C][/ROW]
[ROW][C]82[/C][C]0.999998271088625[/C][C]3.45782275079088e-06[/C][C]1.72891137539544e-06[/C][/ROW]
[ROW][C]83[/C][C]0.999997729251611[/C][C]4.5414967778397e-06[/C][C]2.27074838891985e-06[/C][/ROW]
[ROW][C]84[/C][C]0.999996561365483[/C][C]6.87726903409454e-06[/C][C]3.43863451704727e-06[/C][/ROW]
[ROW][C]85[/C][C]0.999996868417348[/C][C]6.2631653043275e-06[/C][C]3.13158265216375e-06[/C][/ROW]
[ROW][C]86[/C][C]0.999995359924758[/C][C]9.28015048334023e-06[/C][C]4.64007524167011e-06[/C][/ROW]
[ROW][C]87[/C][C]0.99999652366739[/C][C]6.95266521864018e-06[/C][C]3.47633260932009e-06[/C][/ROW]
[ROW][C]88[/C][C]0.99999502515011[/C][C]9.94969977942007e-06[/C][C]4.97484988971004e-06[/C][/ROW]
[ROW][C]89[/C][C]0.999995467775402[/C][C]9.06444919589113e-06[/C][C]4.53222459794556e-06[/C][/ROW]
[ROW][C]90[/C][C]0.999994353023838[/C][C]1.12939523239433e-05[/C][C]5.64697616197167e-06[/C][/ROW]
[ROW][C]91[/C][C]0.999992143305964[/C][C]1.57133880725945e-05[/C][C]7.85669403629723e-06[/C][/ROW]
[ROW][C]92[/C][C]0.999988326921483[/C][C]2.33461570333012e-05[/C][C]1.16730785166506e-05[/C][/ROW]
[ROW][C]93[/C][C]0.999988962945501[/C][C]2.20741089971927e-05[/C][C]1.10370544985963e-05[/C][/ROW]
[ROW][C]94[/C][C]0.999987942103335[/C][C]2.41157933292053e-05[/C][C]1.20578966646027e-05[/C][/ROW]
[ROW][C]95[/C][C]0.999986035312626[/C][C]2.7929374748258e-05[/C][C]1.3964687374129e-05[/C][/ROW]
[ROW][C]96[/C][C]0.999986818855938[/C][C]2.63622881248022e-05[/C][C]1.31811440624011e-05[/C][/ROW]
[ROW][C]97[/C][C]0.999991573847512[/C][C]1.68523049763438e-05[/C][C]8.4261524881719e-06[/C][/ROW]
[ROW][C]98[/C][C]0.9999903434171[/C][C]1.93131657995582e-05[/C][C]9.6565828997791e-06[/C][/ROW]
[ROW][C]99[/C][C]0.999987315003047[/C][C]2.53699939063963e-05[/C][C]1.26849969531982e-05[/C][/ROW]
[ROW][C]100[/C][C]0.999981658976998[/C][C]3.66820460048486e-05[/C][C]1.83410230024243e-05[/C][/ROW]
[ROW][C]101[/C][C]0.99998724707246[/C][C]2.55058550796856e-05[/C][C]1.27529275398428e-05[/C][/ROW]
[ROW][C]102[/C][C]0.999984577825777[/C][C]3.0844348446307e-05[/C][C]1.54221742231535e-05[/C][/ROW]
[ROW][C]103[/C][C]0.99997858934102[/C][C]4.28213179604159e-05[/C][C]2.14106589802079e-05[/C][/ROW]
[ROW][C]104[/C][C]0.999969967617512[/C][C]6.00647649766614e-05[/C][C]3.00323824883307e-05[/C][/ROW]
[ROW][C]105[/C][C]0.99995817393896[/C][C]8.36521220789726e-05[/C][C]4.18260610394863e-05[/C][/ROW]
[ROW][C]106[/C][C]0.999945732079672[/C][C]0.000108535840655365[/C][C]5.42679203276824e-05[/C][/ROW]
[ROW][C]107[/C][C]0.999977309391538[/C][C]4.53812169231044e-05[/C][C]2.26906084615522e-05[/C][/ROW]
[ROW][C]108[/C][C]0.999970381473025[/C][C]5.92370539497936e-05[/C][C]2.96185269748968e-05[/C][/ROW]
[ROW][C]109[/C][C]0.99999927458163[/C][C]1.45083674011951e-06[/C][C]7.25418370059754e-07[/C][/ROW]
[ROW][C]110[/C][C]0.999999543928152[/C][C]9.12143696687012e-07[/C][C]4.56071848343506e-07[/C][/ROW]
[ROW][C]111[/C][C]0.999999456113821[/C][C]1.08777235801662e-06[/C][C]5.43886179008311e-07[/C][/ROW]
[ROW][C]112[/C][C]0.999999497343797[/C][C]1.00531240584651e-06[/C][C]5.02656202923254e-07[/C][/ROW]
[ROW][C]113[/C][C]0.999999438549114[/C][C]1.12290177269953e-06[/C][C]5.61450886349766e-07[/C][/ROW]
[ROW][C]114[/C][C]0.999999658859344[/C][C]6.82281311675506e-07[/C][C]3.41140655837753e-07[/C][/ROW]
[ROW][C]115[/C][C]0.999999580120638[/C][C]8.39758724536379e-07[/C][C]4.1987936226819e-07[/C][/ROW]
[ROW][C]116[/C][C]0.999999454658146[/C][C]1.09068370788338e-06[/C][C]5.4534185394169e-07[/C][/ROW]
[ROW][C]117[/C][C]0.999999248576727[/C][C]1.50284654699267e-06[/C][C]7.51423273496335e-07[/C][/ROW]
[ROW][C]118[/C][C]0.99999889881604[/C][C]2.20236792066284e-06[/C][C]1.10118396033142e-06[/C][/ROW]
[ROW][C]119[/C][C]0.99999885303503[/C][C]2.29392994045195e-06[/C][C]1.14696497022597e-06[/C][/ROW]
[ROW][C]120[/C][C]0.999998271756968[/C][C]3.45648606360151e-06[/C][C]1.72824303180076e-06[/C][/ROW]
[ROW][C]121[/C][C]0.999997691891897[/C][C]4.61621620654115e-06[/C][C]2.30810810327058e-06[/C][/ROW]
[ROW][C]122[/C][C]0.999996705650153[/C][C]6.58869969322476e-06[/C][C]3.29434984661238e-06[/C][/ROW]
[ROW][C]123[/C][C]0.999996446869846[/C][C]7.10626030867757e-06[/C][C]3.55313015433878e-06[/C][/ROW]
[ROW][C]124[/C][C]0.999996052821668[/C][C]7.8943566648481e-06[/C][C]3.94717833242405e-06[/C][/ROW]
[ROW][C]125[/C][C]0.9999945759676[/C][C]1.08480647998024e-05[/C][C]5.42403239990119e-06[/C][/ROW]
[ROW][C]126[/C][C]0.999995821154332[/C][C]8.3576913362278e-06[/C][C]4.1788456681139e-06[/C][/ROW]
[ROW][C]127[/C][C]0.999994983710434[/C][C]1.00325791321573e-05[/C][C]5.01628956607864e-06[/C][/ROW]
[ROW][C]128[/C][C]0.99999429595305[/C][C]1.14080938999847e-05[/C][C]5.70404694999234e-06[/C][/ROW]
[ROW][C]129[/C][C]0.99999374901231[/C][C]1.25019753788937e-05[/C][C]6.25098768944687e-06[/C][/ROW]
[ROW][C]130[/C][C]0.999990803877427[/C][C]1.83922451468537e-05[/C][C]9.19612257342684e-06[/C][/ROW]
[ROW][C]131[/C][C]0.999995242119918[/C][C]9.51576016357175e-06[/C][C]4.75788008178587e-06[/C][/ROW]
[ROW][C]132[/C][C]0.999994041485195[/C][C]1.19170296104478e-05[/C][C]5.95851480522389e-06[/C][/ROW]
[ROW][C]133[/C][C]0.999995685985422[/C][C]8.62802915516922e-06[/C][C]4.31401457758461e-06[/C][/ROW]
[ROW][C]134[/C][C]0.999995665660648[/C][C]8.66867870437468e-06[/C][C]4.33433935218734e-06[/C][/ROW]
[ROW][C]135[/C][C]0.999995997131342[/C][C]8.00573731612695e-06[/C][C]4.00286865806348e-06[/C][/ROW]
[ROW][C]136[/C][C]0.999994219047094[/C][C]1.15619058116351e-05[/C][C]5.78095290581754e-06[/C][/ROW]
[ROW][C]137[/C][C]0.999991530993214[/C][C]1.6938013572594e-05[/C][C]8.469006786297e-06[/C][/ROW]
[ROW][C]138[/C][C]0.999994788664502[/C][C]1.04226709955946e-05[/C][C]5.21133549779732e-06[/C][/ROW]
[ROW][C]139[/C][C]0.999992836880473[/C][C]1.43262390536294e-05[/C][C]7.1631195268147e-06[/C][/ROW]
[ROW][C]140[/C][C]0.999989515498418[/C][C]2.09690031633265e-05[/C][C]1.04845015816632e-05[/C][/ROW]
[ROW][C]141[/C][C]0.999986125667417[/C][C]2.77486651656612e-05[/C][C]1.38743325828306e-05[/C][/ROW]
[ROW][C]142[/C][C]0.999982049492322[/C][C]3.59010153570907e-05[/C][C]1.79505076785453e-05[/C][/ROW]
[ROW][C]143[/C][C]0.999979213874055[/C][C]4.1572251890436e-05[/C][C]2.0786125945218e-05[/C][/ROW]
[ROW][C]144[/C][C]0.999971114343755[/C][C]5.7771312489678e-05[/C][C]2.8885656244839e-05[/C][/ROW]
[ROW][C]145[/C][C]0.99998070778524[/C][C]3.85844295207265e-05[/C][C]1.92922147603632e-05[/C][/ROW]
[ROW][C]146[/C][C]0.999972857204942[/C][C]5.4285590116671e-05[/C][C]2.71427950583355e-05[/C][/ROW]
[ROW][C]147[/C][C]0.999990527574962[/C][C]1.89448500754948e-05[/C][C]9.47242503774742e-06[/C][/ROW]
[ROW][C]148[/C][C]0.999986594600202[/C][C]2.68107995958837e-05[/C][C]1.34053997979418e-05[/C][/ROW]
[ROW][C]149[/C][C]0.999980952669275[/C][C]3.80946614506771e-05[/C][C]1.90473307253386e-05[/C][/ROW]
[ROW][C]150[/C][C]0.999976541238544[/C][C]4.6917522911648e-05[/C][C]2.3458761455824e-05[/C][/ROW]
[ROW][C]151[/C][C]0.999985274060624[/C][C]2.94518787519541e-05[/C][C]1.4725939375977e-05[/C][/ROW]
[ROW][C]152[/C][C]0.999992708851271[/C][C]1.45822974572522e-05[/C][C]7.2911487286261e-06[/C][/ROW]
[ROW][C]153[/C][C]0.999989244850915[/C][C]2.1510298169285e-05[/C][C]1.07551490846425e-05[/C][/ROW]
[ROW][C]154[/C][C]0.999984272046583[/C][C]3.14559068342346e-05[/C][C]1.57279534171173e-05[/C][/ROW]
[ROW][C]155[/C][C]0.999985316950495[/C][C]2.93660990101986e-05[/C][C]1.46830495050993e-05[/C][/ROW]
[ROW][C]156[/C][C]0.999979268914388[/C][C]4.14621712239673e-05[/C][C]2.07310856119837e-05[/C][/ROW]
[ROW][C]157[/C][C]0.999982396284575[/C][C]3.52074308500264e-05[/C][C]1.76037154250132e-05[/C][/ROW]
[ROW][C]158[/C][C]0.999975914640608[/C][C]4.81707187848928e-05[/C][C]2.40853593924464e-05[/C][/ROW]
[ROW][C]159[/C][C]0.99997557211982[/C][C]4.88557603601553e-05[/C][C]2.44278801800777e-05[/C][/ROW]
[ROW][C]160[/C][C]0.999968346647058[/C][C]6.33067058832368e-05[/C][C]3.16533529416184e-05[/C][/ROW]
[ROW][C]161[/C][C]0.99995554235533[/C][C]8.89152893403145e-05[/C][C]4.44576446701573e-05[/C][/ROW]
[ROW][C]162[/C][C]0.999999729061852[/C][C]5.4187629625738e-07[/C][C]2.7093814812869e-07[/C][/ROW]
[ROW][C]163[/C][C]0.99999965421131[/C][C]6.91577381906836e-07[/C][C]3.45788690953418e-07[/C][/ROW]
[ROW][C]164[/C][C]0.999999798020681[/C][C]4.03958637444133e-07[/C][C]2.01979318722066e-07[/C][/ROW]
[ROW][C]165[/C][C]0.999999772403575[/C][C]4.55192849171429e-07[/C][C]2.27596424585714e-07[/C][/ROW]
[ROW][C]166[/C][C]0.999999830371272[/C][C]3.39257455510919e-07[/C][C]1.69628727755459e-07[/C][/ROW]
[ROW][C]167[/C][C]0.999999776614877[/C][C]4.46770245802079e-07[/C][C]2.2338512290104e-07[/C][/ROW]
[ROW][C]168[/C][C]0.999999724141197[/C][C]5.51717605794278e-07[/C][C]2.75858802897139e-07[/C][/ROW]
[ROW][C]169[/C][C]0.99999964308105[/C][C]7.13837901148524e-07[/C][C]3.56918950574262e-07[/C][/ROW]
[ROW][C]170[/C][C]0.999999632373613[/C][C]7.35252773752718e-07[/C][C]3.67626386876359e-07[/C][/ROW]
[ROW][C]171[/C][C]0.999999986227292[/C][C]2.75454164758896e-08[/C][C]1.37727082379448e-08[/C][/ROW]
[ROW][C]172[/C][C]0.999999981710564[/C][C]3.65788722236087e-08[/C][C]1.82894361118044e-08[/C][/ROW]
[ROW][C]173[/C][C]0.999999975312712[/C][C]4.93745757346273e-08[/C][C]2.46872878673136e-08[/C][/ROW]
[ROW][C]174[/C][C]0.99999999996254[/C][C]7.49214261896341e-11[/C][C]3.7460713094817e-11[/C][/ROW]
[ROW][C]175[/C][C]0.999999999981364[/C][C]3.72724971364308e-11[/C][C]1.86362485682154e-11[/C][/ROW]
[ROW][C]176[/C][C]0.99999999996896[/C][C]6.20793190004769e-11[/C][C]3.10396595002384e-11[/C][/ROW]
[ROW][C]177[/C][C]0.999999999948874[/C][C]1.0225226870756e-10[/C][C]5.11261343537802e-11[/C][/ROW]
[ROW][C]178[/C][C]0.99999999992224[/C][C]1.55520743817982e-10[/C][C]7.77603719089912e-11[/C][/ROW]
[ROW][C]179[/C][C]0.999999999868358[/C][C]2.63283667490991e-10[/C][C]1.31641833745496e-10[/C][/ROW]
[ROW][C]180[/C][C]0.999999999812957[/C][C]3.74086631207065e-10[/C][C]1.87043315603533e-10[/C][/ROW]
[ROW][C]181[/C][C]0.999999999928944[/C][C]1.42112852632793e-10[/C][C]7.10564263163966e-11[/C][/ROW]
[ROW][C]182[/C][C]0.999999999878052[/C][C]2.43895645079918e-10[/C][C]1.21947822539959e-10[/C][/ROW]
[ROW][C]183[/C][C]0.999999999777248[/C][C]4.45504702302536e-10[/C][C]2.22752351151268e-10[/C][/ROW]
[ROW][C]184[/C][C]0.999999999617802[/C][C]7.64396639834983e-10[/C][C]3.82198319917492e-10[/C][/ROW]
[ROW][C]185[/C][C]0.999999999317254[/C][C]1.36549275010931e-09[/C][C]6.82746375054653e-10[/C][/ROW]
[ROW][C]186[/C][C]0.999999998779365[/C][C]2.44127025380864e-09[/C][C]1.22063512690432e-09[/C][/ROW]
[ROW][C]187[/C][C]0.999999997892817[/C][C]4.21436596173786e-09[/C][C]2.10718298086893e-09[/C][/ROW]
[ROW][C]188[/C][C]0.999999996364946[/C][C]7.27010821468204e-09[/C][C]3.63505410734102e-09[/C][/ROW]
[ROW][C]189[/C][C]0.999999993684735[/C][C]1.26305308113893e-08[/C][C]6.31526540569467e-09[/C][/ROW]
[ROW][C]190[/C][C]0.999999991550187[/C][C]1.68996268239804e-08[/C][C]8.44981341199021e-09[/C][/ROW]
[ROW][C]191[/C][C]0.99999998676555[/C][C]2.64689009059496e-08[/C][C]1.32344504529748e-08[/C][/ROW]
[ROW][C]192[/C][C]0.999999981043345[/C][C]3.79133104021876e-08[/C][C]1.89566552010938e-08[/C][/ROW]
[ROW][C]193[/C][C]0.999999985473103[/C][C]2.90537948084171e-08[/C][C]1.45268974042085e-08[/C][/ROW]
[ROW][C]194[/C][C]0.999999998367356[/C][C]3.265288449443e-09[/C][C]1.6326442247215e-09[/C][/ROW]
[ROW][C]195[/C][C]0.999999997541612[/C][C]4.91677589331278e-09[/C][C]2.45838794665639e-09[/C][/ROW]
[ROW][C]196[/C][C]0.999999996780923[/C][C]6.43815379287248e-09[/C][C]3.21907689643624e-09[/C][/ROW]
[ROW][C]197[/C][C]0.999999995554454[/C][C]8.89109186318878e-09[/C][C]4.44554593159439e-09[/C][/ROW]
[ROW][C]198[/C][C]0.999999993381886[/C][C]1.32362282806783e-08[/C][C]6.61811414033914e-09[/C][/ROW]
[ROW][C]199[/C][C]0.999999988226503[/C][C]2.35469943117279e-08[/C][C]1.1773497155864e-08[/C][/ROW]
[ROW][C]200[/C][C]0.999999979505781[/C][C]4.09884385381622e-08[/C][C]2.04942192690811e-08[/C][/ROW]
[ROW][C]201[/C][C]0.999999968302567[/C][C]6.33948662910336e-08[/C][C]3.16974331455168e-08[/C][/ROW]
[ROW][C]202[/C][C]0.999999945159969[/C][C]1.09680062517883e-07[/C][C]5.48400312589413e-08[/C][/ROW]
[ROW][C]203[/C][C]0.999999915422543[/C][C]1.69154913457288e-07[/C][C]8.45774567286439e-08[/C][/ROW]
[ROW][C]204[/C][C]0.999999858363784[/C][C]2.83272431883483e-07[/C][C]1.41636215941742e-07[/C][/ROW]
[ROW][C]205[/C][C]0.999999860930842[/C][C]2.78138316697635e-07[/C][C]1.39069158348817e-07[/C][/ROW]
[ROW][C]206[/C][C]0.999999798797347[/C][C]4.02405306137777e-07[/C][C]2.01202653068888e-07[/C][/ROW]
[ROW][C]207[/C][C]0.999999688418912[/C][C]6.23162176503668e-07[/C][C]3.11581088251834e-07[/C][/ROW]
[ROW][C]208[/C][C]0.999999537778156[/C][C]9.24443688418366e-07[/C][C]4.62221844209183e-07[/C][/ROW]
[ROW][C]209[/C][C]0.999999326724333[/C][C]1.34655133362061e-06[/C][C]6.73275666810306e-07[/C][/ROW]
[ROW][C]210[/C][C]0.99999890888397[/C][C]2.18223205836487e-06[/C][C]1.09111602918243e-06[/C][/ROW]
[ROW][C]211[/C][C]0.999999599456064[/C][C]8.01087871240965e-07[/C][C]4.00543935620482e-07[/C][/ROW]
[ROW][C]212[/C][C]0.999999368662646[/C][C]1.26267470742505e-06[/C][C]6.31337353712523e-07[/C][/ROW]
[ROW][C]213[/C][C]0.999999049523553[/C][C]1.9009528937011e-06[/C][C]9.5047644685055e-07[/C][/ROW]
[ROW][C]214[/C][C]0.999998540001542[/C][C]2.91999691609834e-06[/C][C]1.45999845804917e-06[/C][/ROW]
[ROW][C]215[/C][C]0.999999976321343[/C][C]4.73573143396876e-08[/C][C]2.36786571698438e-08[/C][/ROW]
[ROW][C]216[/C][C]0.999999968016922[/C][C]6.3966155123384e-08[/C][C]3.1983077561692e-08[/C][/ROW]
[ROW][C]217[/C][C]0.99999994561804[/C][C]1.08763921033162e-07[/C][C]5.43819605165809e-08[/C][/ROW]
[ROW][C]218[/C][C]0.999999999977466[/C][C]4.50679671939533e-11[/C][C]2.25339835969767e-11[/C][/ROW]
[ROW][C]219[/C][C]0.999999999988148[/C][C]2.37030644578366e-11[/C][C]1.18515322289183e-11[/C][/ROW]
[ROW][C]220[/C][C]0.999999999976065[/C][C]4.78707733294662e-11[/C][C]2.39353866647331e-11[/C][/ROW]
[ROW][C]221[/C][C]0.999999999954746[/C][C]9.05077011108617e-11[/C][C]4.52538505554309e-11[/C][/ROW]
[ROW][C]222[/C][C]0.999999999999992[/C][C]1.50767435927297e-14[/C][C]7.53837179636484e-15[/C][/ROW]
[ROW][C]223[/C][C]0.999999999999986[/C][C]2.79808415189075e-14[/C][C]1.39904207594538e-14[/C][/ROW]
[ROW][C]224[/C][C]0.999999999999966[/C][C]6.75778792230637e-14[/C][C]3.37889396115318e-14[/C][/ROW]
[ROW][C]225[/C][C]0.999999999999916[/C][C]1.67991552526337e-13[/C][C]8.39957762631685e-14[/C][/ROW]
[ROW][C]226[/C][C]0.999999999999963[/C][C]7.48409595494214e-14[/C][C]3.74204797747107e-14[/C][/ROW]
[ROW][C]227[/C][C]0.999999999999916[/C][C]1.685634150587e-13[/C][C]8.42817075293498e-14[/C][/ROW]
[ROW][C]228[/C][C]0.999999999999814[/C][C]3.71772361330335e-13[/C][C]1.85886180665168e-13[/C][/ROW]
[ROW][C]229[/C][C]0.999999999999542[/C][C]9.16114665757354e-13[/C][C]4.58057332878677e-13[/C][/ROW]
[ROW][C]230[/C][C]0.999999999998956[/C][C]2.08784757431987e-12[/C][C]1.04392378715994e-12[/C][/ROW]
[ROW][C]231[/C][C]0.999999999998075[/C][C]3.84925992357073e-12[/C][C]1.92462996178536e-12[/C][/ROW]
[ROW][C]232[/C][C]0.999999999995805[/C][C]8.38918869801667e-12[/C][C]4.19459434900834e-12[/C][/ROW]
[ROW][C]233[/C][C]0.999999999990265[/C][C]1.94692372435344e-11[/C][C]9.7346186217672e-12[/C][/ROW]
[ROW][C]234[/C][C]0.999999999977426[/C][C]4.51477943380845e-11[/C][C]2.25738971690423e-11[/C][/ROW]
[ROW][C]235[/C][C]0.999999999950347[/C][C]9.93053783481508e-11[/C][C]4.96526891740754e-11[/C][/ROW]
[ROW][C]236[/C][C]0.999999999892637[/C][C]2.14726728784222e-10[/C][C]1.07363364392111e-10[/C][/ROW]
[ROW][C]237[/C][C]0.99999999978237[/C][C]4.35261755006191e-10[/C][C]2.17630877503095e-10[/C][/ROW]
[ROW][C]238[/C][C]0.99999999962209[/C][C]7.55819104754215e-10[/C][C]3.77909552377107e-10[/C][/ROW]
[ROW][C]239[/C][C]0.999999999274823[/C][C]1.45035319835116e-09[/C][C]7.2517659917558e-10[/C][/ROW]
[ROW][C]240[/C][C]0.999999998340094[/C][C]3.31981216953199e-09[/C][C]1.659906084766e-09[/C][/ROW]
[ROW][C]241[/C][C]0.999999996806814[/C][C]6.38637181720642e-09[/C][C]3.19318590860321e-09[/C][/ROW]
[ROW][C]242[/C][C]0.999999993431929[/C][C]1.31361421796775e-08[/C][C]6.56807108983876e-09[/C][/ROW]
[ROW][C]243[/C][C]0.999999985621416[/C][C]2.87571678773397e-08[/C][C]1.43785839386698e-08[/C][/ROW]
[ROW][C]244[/C][C]0.999999987174955[/C][C]2.56500891497614e-08[/C][C]1.28250445748807e-08[/C][/ROW]
[ROW][C]245[/C][C]0.999999971683105[/C][C]5.66337904392251e-08[/C][C]2.83168952196125e-08[/C][/ROW]
[ROW][C]246[/C][C]0.99999993462692[/C][C]1.30746159441736e-07[/C][C]6.53730797208679e-08[/C][/ROW]
[ROW][C]247[/C][C]0.999999851535153[/C][C]2.96929694197202e-07[/C][C]1.48464847098601e-07[/C][/ROW]
[ROW][C]248[/C][C]0.999999679294134[/C][C]6.41411732194405e-07[/C][C]3.20705866097203e-07[/C][/ROW]
[ROW][C]249[/C][C]0.99999932253736[/C][C]1.35492527905872e-06[/C][C]6.77462639529358e-07[/C][/ROW]
[ROW][C]250[/C][C]0.999998648679301[/C][C]2.70264139746012e-06[/C][C]1.35132069873006e-06[/C][/ROW]
[ROW][C]251[/C][C]0.999997571611765[/C][C]4.85677646948229e-06[/C][C]2.42838823474114e-06[/C][/ROW]
[ROW][C]252[/C][C]0.99999559595552[/C][C]8.80808896034425e-06[/C][C]4.40404448017213e-06[/C][/ROW]
[ROW][C]253[/C][C]0.99999092951897[/C][C]1.81409620597145e-05[/C][C]9.07048102985725e-06[/C][/ROW]
[ROW][C]254[/C][C]0.999984958904546[/C][C]3.00821909089939e-05[/C][C]1.50410954544969e-05[/C][/ROW]
[ROW][C]255[/C][C]0.999970097873773[/C][C]5.98042524530645e-05[/C][C]2.99021262265322e-05[/C][/ROW]
[ROW][C]256[/C][C]0.999942348018772[/C][C]0.000115303962456203[/C][C]5.76519812281013e-05[/C][/ROW]
[ROW][C]257[/C][C]0.999895515712723[/C][C]0.000208968574554994[/C][C]0.000104484287277497[/C][/ROW]
[ROW][C]258[/C][C]0.999824738751352[/C][C]0.000350522497295781[/C][C]0.000175261248647891[/C][/ROW]
[ROW][C]259[/C][C]0.999680440592475[/C][C]0.000639118815050593[/C][C]0.000319559407525297[/C][/ROW]
[ROW][C]260[/C][C]0.999422175125086[/C][C]0.00115564974982758[/C][C]0.00057782487491379[/C][/ROW]
[ROW][C]261[/C][C]0.999057472235047[/C][C]0.00188505552990501[/C][C]0.000942527764952507[/C][/ROW]
[ROW][C]262[/C][C]0.998305741440596[/C][C]0.00338851711880825[/C][C]0.00169425855940412[/C][/ROW]
[ROW][C]263[/C][C]0.997096757160418[/C][C]0.00580648567916437[/C][C]0.00290324283958218[/C][/ROW]
[ROW][C]264[/C][C]0.996675029619707[/C][C]0.00664994076058667[/C][C]0.00332497038029334[/C][/ROW]
[ROW][C]265[/C][C]0.994187481948233[/C][C]0.0116250361035334[/C][C]0.00581251805176671[/C][/ROW]
[ROW][C]266[/C][C]0.993839634671952[/C][C]0.0123207306560952[/C][C]0.0061603653280476[/C][/ROW]
[ROW][C]267[/C][C]0.989518628697298[/C][C]0.0209627426054038[/C][C]0.0104813713027019[/C][/ROW]
[ROW][C]268[/C][C]0.985612193392963[/C][C]0.0287756132140746[/C][C]0.0143878066070373[/C][/ROW]
[ROW][C]269[/C][C]0.977560477340345[/C][C]0.0448790453193105[/C][C]0.0224395226596552[/C][/ROW]
[ROW][C]270[/C][C]0.981211945633314[/C][C]0.0375761087333729[/C][C]0.0187880543666865[/C][/ROW]
[ROW][C]271[/C][C]0.968628325264694[/C][C]0.0627433494706119[/C][C]0.031371674735306[/C][/ROW]
[ROW][C]272[/C][C]0.94708557878297[/C][C]0.10582884243406[/C][C]0.0529144212170302[/C][/ROW]
[ROW][C]273[/C][C]0.916336719290669[/C][C]0.167326561418663[/C][C]0.0836632807093315[/C][/ROW]
[ROW][C]274[/C][C]0.878744011420833[/C][C]0.242511977158335[/C][C]0.121255988579167[/C][/ROW]
[ROW][C]275[/C][C]0.868582490713977[/C][C]0.262835018572046[/C][C]0.131417509286023[/C][/ROW]
[ROW][C]276[/C][C]0.975147820756001[/C][C]0.0497043584879974[/C][C]0.0248521792439987[/C][/ROW]
[ROW][C]277[/C][C]0.998171650436835[/C][C]0.00365669912632914[/C][C]0.00182834956316457[/C][/ROW]
[ROW][C]278[/C][C]0.99366985294107[/C][C]0.0126602941178607[/C][C]0.00633014705893035[/C][/ROW]
[ROW][C]279[/C][C]0.979443021395364[/C][C]0.0411139572092723[/C][C]0.0205569786046362[/C][/ROW]
[ROW][C]280[/C][C]0.932915291943757[/C][C]0.134169416112485[/C][C]0.0670847080562425[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155454&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155454&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
90.4342733428485470.8685466856970940.565726657151453
100.4395268328030270.8790536656060540.560473167196973
110.3110343100625170.6220686201250340.688965689937483
120.9542914954869140.09141700902617270.0457085045130863
130.924763792102730.1504724157945410.0752362078972705
140.9240333756656450.1519332486687090.0759666243343547
150.906517138255580.1869657234888410.0934828617444207
160.91607791454810.16784417090380.0839220854519
170.955111429942310.08977714011537990.0448885700576899
180.9505503843483550.09889923130329070.0494496156516454
190.92842637565970.1431472486805980.0715736243402989
200.9023759360660790.1952481278678420.0976240639339211
210.927015161891240.1459696762175190.0729848381087594
220.9531367239623930.09372655207521320.0468632760376066
230.93899302476120.1220139504776010.0610069752388007
240.9308799846074740.1382400307850520.069120015392526
250.9123763460464590.1752473079070820.0876236539535411
260.89750962821390.2049807435721990.1024903717861
270.8884495220787360.2231009558425280.111550477921264
280.9024484389744690.1951031220510630.0975515610255314
290.897057498622020.2058850027559590.10294250137798
300.9005098517673760.1989802964652480.0994901482326238
310.9019932951942870.1960134096114250.0980067048057126
320.8753905144133440.2492189711733120.124609485586656
330.899396800010090.201206399979820.10060319998991
340.9088362000602310.1823275998795380.0911637999397689
350.8851167334110220.2297665331779560.114883266588978
360.8592121218577040.2815757562845910.140787878142296
370.8283459085167710.3433081829664580.171654091483229
380.8503578168025740.2992843663948520.149642183197426
390.8538679199972970.2922641600054060.146132080002703
400.8289292836394130.3421414327211730.171070716360587
410.7981804259466680.4036391481066630.201819574053332
420.7613698235463380.4772603529073230.238630176453662
430.7270279881583070.5459440236833860.272972011841693
440.6975519091125980.6048961817748030.302448090887402
450.9522281767173450.09554364656530950.0477718232826547
460.9459378016478440.1081243967043120.0540621983521561
470.9349467128784170.1301065742431670.0650532871215834
480.931679367393860.1366412652122790.0683206326061394
490.9171119350177450.165776129964510.082888064982255
500.9493536895476960.1012926209046080.0506463104523042
510.9383154150362910.1233691699274170.0616845849637087
520.927418845557740.1451623088845210.0725811544422605
530.945332306269530.1093353874609410.0546676937304705
540.9691729863941070.06165402721178620.0308270136058931
550.961071081188140.07785783762371780.0389289188118589
560.9593225820126850.08135483597462970.0406774179873148
570.9491735049703710.1016529900592580.0508264950296289
580.9665479601449140.06690407971017240.0334520398550862
590.9692990226097430.06140195478051430.0307009773902572
600.9654088756489770.06918224870204690.0345911243510235
610.9592332226462280.08153355470754350.0407667773537717
620.9496053845634890.1007892308730230.0503946154365114
630.9402894969792980.1194210060414030.0597105030207017
640.9278141766029640.1443716467940730.0721858233970364
650.9278958714024080.1442082571951840.0721041285975918
660.9283415338762510.1433169322474990.0716584661237493
670.9961913089708980.007617382058203790.00380869102910189
680.998266709339940.003466581320119570.00173329066005978
690.9997457093792870.0005085812414252930.000254290620712647
700.9998846732627740.0002306534744528140.000115326737226407
710.999942450206280.0001150995874392945.7549793719647e-05
720.9999238055666850.0001523888666299267.6194433314963e-05
730.999910241131240.0001795177375210998.97588687605495e-05
740.9998929829817950.0002140340364105350.000107017018205268
750.999935883751750.000128232496499066.411624824953e-05
760.9999070326545160.0001859346909676579.29673454838283e-05
770.9999418666131490.0001162667737023675.81333868511833e-05
780.9999980578099223.88438015522052e-061.94219007761026e-06
790.9999987041688072.59166238546782e-061.29583119273391e-06
800.9999986508639562.6982720885463e-061.34913604427315e-06
810.9999979809374924.03812501653538e-062.01906250826769e-06
820.9999982710886253.45782275079088e-061.72891137539544e-06
830.9999977292516114.5414967778397e-062.27074838891985e-06
840.9999965613654836.87726903409454e-063.43863451704727e-06
850.9999968684173486.2631653043275e-063.13158265216375e-06
860.9999953599247589.28015048334023e-064.64007524167011e-06
870.999996523667396.95266521864018e-063.47633260932009e-06
880.999995025150119.94969977942007e-064.97484988971004e-06
890.9999954677754029.06444919589113e-064.53222459794556e-06
900.9999943530238381.12939523239433e-055.64697616197167e-06
910.9999921433059641.57133880725945e-057.85669403629723e-06
920.9999883269214832.33461570333012e-051.16730785166506e-05
930.9999889629455012.20741089971927e-051.10370544985963e-05
940.9999879421033352.41157933292053e-051.20578966646027e-05
950.9999860353126262.7929374748258e-051.3964687374129e-05
960.9999868188559382.63622881248022e-051.31811440624011e-05
970.9999915738475121.68523049763438e-058.4261524881719e-06
980.99999034341711.93131657995582e-059.6565828997791e-06
990.9999873150030472.53699939063963e-051.26849969531982e-05
1000.9999816589769983.66820460048486e-051.83410230024243e-05
1010.999987247072462.55058550796856e-051.27529275398428e-05
1020.9999845778257773.0844348446307e-051.54221742231535e-05
1030.999978589341024.28213179604159e-052.14106589802079e-05
1040.9999699676175126.00647649766614e-053.00323824883307e-05
1050.999958173938968.36521220789726e-054.18260610394863e-05
1060.9999457320796720.0001085358406553655.42679203276824e-05
1070.9999773093915384.53812169231044e-052.26906084615522e-05
1080.9999703814730255.92370539497936e-052.96185269748968e-05
1090.999999274581631.45083674011951e-067.25418370059754e-07
1100.9999995439281529.12143696687012e-074.56071848343506e-07
1110.9999994561138211.08777235801662e-065.43886179008311e-07
1120.9999994973437971.00531240584651e-065.02656202923254e-07
1130.9999994385491141.12290177269953e-065.61450886349766e-07
1140.9999996588593446.82281311675506e-073.41140655837753e-07
1150.9999995801206388.39758724536379e-074.1987936226819e-07
1160.9999994546581461.09068370788338e-065.4534185394169e-07
1170.9999992485767271.50284654699267e-067.51423273496335e-07
1180.999998898816042.20236792066284e-061.10118396033142e-06
1190.999998853035032.29392994045195e-061.14696497022597e-06
1200.9999982717569683.45648606360151e-061.72824303180076e-06
1210.9999976918918974.61621620654115e-062.30810810327058e-06
1220.9999967056501536.58869969322476e-063.29434984661238e-06
1230.9999964468698467.10626030867757e-063.55313015433878e-06
1240.9999960528216687.8943566648481e-063.94717833242405e-06
1250.99999457596761.08480647998024e-055.42403239990119e-06
1260.9999958211543328.3576913362278e-064.1788456681139e-06
1270.9999949837104341.00325791321573e-055.01628956607864e-06
1280.999994295953051.14080938999847e-055.70404694999234e-06
1290.999993749012311.25019753788937e-056.25098768944687e-06
1300.9999908038774271.83922451468537e-059.19612257342684e-06
1310.9999952421199189.51576016357175e-064.75788008178587e-06
1320.9999940414851951.19170296104478e-055.95851480522389e-06
1330.9999956859854228.62802915516922e-064.31401457758461e-06
1340.9999956656606488.66867870437468e-064.33433935218734e-06
1350.9999959971313428.00573731612695e-064.00286865806348e-06
1360.9999942190470941.15619058116351e-055.78095290581754e-06
1370.9999915309932141.6938013572594e-058.469006786297e-06
1380.9999947886645021.04226709955946e-055.21133549779732e-06
1390.9999928368804731.43262390536294e-057.1631195268147e-06
1400.9999895154984182.09690031633265e-051.04845015816632e-05
1410.9999861256674172.77486651656612e-051.38743325828306e-05
1420.9999820494923223.59010153570907e-051.79505076785453e-05
1430.9999792138740554.1572251890436e-052.0786125945218e-05
1440.9999711143437555.7771312489678e-052.8885656244839e-05
1450.999980707785243.85844295207265e-051.92922147603632e-05
1460.9999728572049425.4285590116671e-052.71427950583355e-05
1470.9999905275749621.89448500754948e-059.47242503774742e-06
1480.9999865946002022.68107995958837e-051.34053997979418e-05
1490.9999809526692753.80946614506771e-051.90473307253386e-05
1500.9999765412385444.6917522911648e-052.3458761455824e-05
1510.9999852740606242.94518787519541e-051.4725939375977e-05
1520.9999927088512711.45822974572522e-057.2911487286261e-06
1530.9999892448509152.1510298169285e-051.07551490846425e-05
1540.9999842720465833.14559068342346e-051.57279534171173e-05
1550.9999853169504952.93660990101986e-051.46830495050993e-05
1560.9999792689143884.14621712239673e-052.07310856119837e-05
1570.9999823962845753.52074308500264e-051.76037154250132e-05
1580.9999759146406084.81707187848928e-052.40853593924464e-05
1590.999975572119824.88557603601553e-052.44278801800777e-05
1600.9999683466470586.33067058832368e-053.16533529416184e-05
1610.999955542355338.89152893403145e-054.44576446701573e-05
1620.9999997290618525.4187629625738e-072.7093814812869e-07
1630.999999654211316.91577381906836e-073.45788690953418e-07
1640.9999997980206814.03958637444133e-072.01979318722066e-07
1650.9999997724035754.55192849171429e-072.27596424585714e-07
1660.9999998303712723.39257455510919e-071.69628727755459e-07
1670.9999997766148774.46770245802079e-072.2338512290104e-07
1680.9999997241411975.51717605794278e-072.75858802897139e-07
1690.999999643081057.13837901148524e-073.56918950574262e-07
1700.9999996323736137.35252773752718e-073.67626386876359e-07
1710.9999999862272922.75454164758896e-081.37727082379448e-08
1720.9999999817105643.65788722236087e-081.82894361118044e-08
1730.9999999753127124.93745757346273e-082.46872878673136e-08
1740.999999999962547.49214261896341e-113.7460713094817e-11
1750.9999999999813643.72724971364308e-111.86362485682154e-11
1760.999999999968966.20793190004769e-113.10396595002384e-11
1770.9999999999488741.0225226870756e-105.11261343537802e-11
1780.999999999922241.55520743817982e-107.77603719089912e-11
1790.9999999998683582.63283667490991e-101.31641833745496e-10
1800.9999999998129573.74086631207065e-101.87043315603533e-10
1810.9999999999289441.42112852632793e-107.10564263163966e-11
1820.9999999998780522.43895645079918e-101.21947822539959e-10
1830.9999999997772484.45504702302536e-102.22752351151268e-10
1840.9999999996178027.64396639834983e-103.82198319917492e-10
1850.9999999993172541.36549275010931e-096.82746375054653e-10
1860.9999999987793652.44127025380864e-091.22063512690432e-09
1870.9999999978928174.21436596173786e-092.10718298086893e-09
1880.9999999963649467.27010821468204e-093.63505410734102e-09
1890.9999999936847351.26305308113893e-086.31526540569467e-09
1900.9999999915501871.68996268239804e-088.44981341199021e-09
1910.999999986765552.64689009059496e-081.32344504529748e-08
1920.9999999810433453.79133104021876e-081.89566552010938e-08
1930.9999999854731032.90537948084171e-081.45268974042085e-08
1940.9999999983673563.265288449443e-091.6326442247215e-09
1950.9999999975416124.91677589331278e-092.45838794665639e-09
1960.9999999967809236.43815379287248e-093.21907689643624e-09
1970.9999999955544548.89109186318878e-094.44554593159439e-09
1980.9999999933818861.32362282806783e-086.61811414033914e-09
1990.9999999882265032.35469943117279e-081.1773497155864e-08
2000.9999999795057814.09884385381622e-082.04942192690811e-08
2010.9999999683025676.33948662910336e-083.16974331455168e-08
2020.9999999451599691.09680062517883e-075.48400312589413e-08
2030.9999999154225431.69154913457288e-078.45774567286439e-08
2040.9999998583637842.83272431883483e-071.41636215941742e-07
2050.9999998609308422.78138316697635e-071.39069158348817e-07
2060.9999997987973474.02405306137777e-072.01202653068888e-07
2070.9999996884189126.23162176503668e-073.11581088251834e-07
2080.9999995377781569.24443688418366e-074.62221844209183e-07
2090.9999993267243331.34655133362061e-066.73275666810306e-07
2100.999998908883972.18223205836487e-061.09111602918243e-06
2110.9999995994560648.01087871240965e-074.00543935620482e-07
2120.9999993686626461.26267470742505e-066.31337353712523e-07
2130.9999990495235531.9009528937011e-069.5047644685055e-07
2140.9999985400015422.91999691609834e-061.45999845804917e-06
2150.9999999763213434.73573143396876e-082.36786571698438e-08
2160.9999999680169226.3966155123384e-083.1983077561692e-08
2170.999999945618041.08763921033162e-075.43819605165809e-08
2180.9999999999774664.50679671939533e-112.25339835969767e-11
2190.9999999999881482.37030644578366e-111.18515322289183e-11
2200.9999999999760654.78707733294662e-112.39353866647331e-11
2210.9999999999547469.05077011108617e-114.52538505554309e-11
2220.9999999999999921.50767435927297e-147.53837179636484e-15
2230.9999999999999862.79808415189075e-141.39904207594538e-14
2240.9999999999999666.75778792230637e-143.37889396115318e-14
2250.9999999999999161.67991552526337e-138.39957762631685e-14
2260.9999999999999637.48409595494214e-143.74204797747107e-14
2270.9999999999999161.685634150587e-138.42817075293498e-14
2280.9999999999998143.71772361330335e-131.85886180665168e-13
2290.9999999999995429.16114665757354e-134.58057332878677e-13
2300.9999999999989562.08784757431987e-121.04392378715994e-12
2310.9999999999980753.84925992357073e-121.92462996178536e-12
2320.9999999999958058.38918869801667e-124.19459434900834e-12
2330.9999999999902651.94692372435344e-119.7346186217672e-12
2340.9999999999774264.51477943380845e-112.25738971690423e-11
2350.9999999999503479.93053783481508e-114.96526891740754e-11
2360.9999999998926372.14726728784222e-101.07363364392111e-10
2370.999999999782374.35261755006191e-102.17630877503095e-10
2380.999999999622097.55819104754215e-103.77909552377107e-10
2390.9999999992748231.45035319835116e-097.2517659917558e-10
2400.9999999983400943.31981216953199e-091.659906084766e-09
2410.9999999968068146.38637181720642e-093.19318590860321e-09
2420.9999999934319291.31361421796775e-086.56807108983876e-09
2430.9999999856214162.87571678773397e-081.43785839386698e-08
2440.9999999871749552.56500891497614e-081.28250445748807e-08
2450.9999999716831055.66337904392251e-082.83168952196125e-08
2460.999999934626921.30746159441736e-076.53730797208679e-08
2470.9999998515351532.96929694197202e-071.48464847098601e-07
2480.9999996792941346.41411732194405e-073.20705866097203e-07
2490.999999322537361.35492527905872e-066.77462639529358e-07
2500.9999986486793012.70264139746012e-061.35132069873006e-06
2510.9999975716117654.85677646948229e-062.42838823474114e-06
2520.999995595955528.80808896034425e-064.40404448017213e-06
2530.999990929518971.81409620597145e-059.07048102985725e-06
2540.9999849589045463.00821909089939e-051.50410954544969e-05
2550.9999700978737735.98042524530645e-052.99021262265322e-05
2560.9999423480187720.0001153039624562035.76519812281013e-05
2570.9998955157127230.0002089685745549940.000104484287277497
2580.9998247387513520.0003505224972957810.000175261248647891
2590.9996804405924750.0006391188150505930.000319559407525297
2600.9994221751250860.001155649749827580.00057782487491379
2610.9990574722350470.001885055529905010.000942527764952507
2620.9983057414405960.003388517118808250.00169425855940412
2630.9970967571604180.005806485679164370.00290324283958218
2640.9966750296197070.006649940760586670.00332497038029334
2650.9941874819482330.01162503610353340.00581251805176671
2660.9938396346719520.01232073065609520.0061603653280476
2670.9895186286972980.02096274260540380.0104813713027019
2680.9856121933929630.02877561321407460.0143878066070373
2690.9775604773403450.04487904531931050.0224395226596552
2700.9812119456333140.03757610873337290.0187880543666865
2710.9686283252646940.06274334947061190.031371674735306
2720.947085578782970.105828842434060.0529144212170302
2730.9163367192906690.1673265614186630.0836632807093315
2740.8787440114208330.2425119771583350.121255988579167
2750.8685824907139770.2628350185720460.131417509286023
2760.9751478207560010.04970435848799740.0248521792439987
2770.9981716504368350.003656699126329140.00182834956316457
2780.993669852941070.01266029411786070.00633014705893035
2790.9794430213953640.04111395720927230.0205569786046362
2800.9329152919437570.1341694161124850.0670847080562425






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1990.731617647058823NOK
5% type I error level2080.764705882352941NOK
10% type I error level2210.8125NOK

\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 & 199 & 0.731617647058823 & NOK \tabularnewline
5% type I error level & 208 & 0.764705882352941 & NOK \tabularnewline
10% type I error level & 221 & 0.8125 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155454&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]199[/C][C]0.731617647058823[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]208[/C][C]0.764705882352941[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]221[/C][C]0.8125[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155454&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155454&T=6

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1990.731617647058823NOK
5% type I error level2080.764705882352941NOK
10% type I error level2210.8125NOK


Figures (Output of Computation)

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Figure 10
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Input Parameters & R Code

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