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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 07:54:21 -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/t1323953720b98a91cvfn5ixhc.htm/, Retrieved Wed, 08 May 2024 20:13:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=155389, Retrieved Wed, 08 May 2024 20:13:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact82

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [Decreasing Compet...] [2010-11-17 09:04:39] [b98453cac15ba1066b407e146608df68]
- R PD    [Multiple Regression] [Paper Multiple Re...] [2011-12-15 12:54:21] [e889f2ef2eeddd5259af4a52678400a6] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
10	14688	10	4	0	0	6023
10	46660	20	12	5	13	6179
10	7199	5	7	0	0	1644
10	21054	16	4	0	0	855
10	80953	25	49	8	27	56622
10	19349	11	13	1	0	3895
11	173260	63	41	21	78	37238
11	38214	34	16	8	21	8773
11	17547	5	0	1	4	3926
11	43287	14	13	19	64	43750
11	78800	42	20	26	66	33032
11	65029	17	21	18	61	32551
11	31414	19	18	8	9	14116
11	7176	17	0	0	0	1423
11	24188	24	8	4	7	5950
11	61857	25	23	11	30	25162
11	22938	10	12	1	0	1168
11	43410	19	7	1	3	2781
11	19764	12	10	2	4	5752
11	53117	22	3	12	32	32689
11	33170	18	1	18	22	22807
11	232138	62	131	31	90	161647
11	111665	34	39	28	80	49810
11	152871	58	59	28	90	79892
11	100750	72	83	30	93	140867
11	221698	45	105	33	110	77873
11	209641	42	62	24	60	97068
11	52746	25	0	26	70	68504
11	215641	46	71	32	92	55813
11	85439	33	32	28	78	56926
11	145790	63	30	26	99	38692
11	132943	40	83	39	156	97500
11	132487	41	71	36	98	40735
11	135473	41	82	23	66	99645
11	84853	31	38	30	109	61542
11	210767	60	94	35	133	117478
11	97839	38	25	24	66	94785
11	120221	37	53	22	69	43836
11	224549	50	54	31	114	120662
11	116408	61	34	39	31	71570
11	158015	29	59	31	114	71220
12	150629	44	85	33	113	71595
12	123185	40	49	22	51	38361
12	124817	40	47	25	81	30727
12	104389	45	135	41	148	123969
12	162765	32	68	28	107	120293
12	149061	44	43	26	93	116174
12	84207	29	14	30	101	111194
12	201940	38	109	31	92	85872
12	168809	66	76	28	100	72260
12	176508	54	60	38	93	83123
12	99466	50	28	23	69	192565
12	106408	30	33	14	37	31081
12	344297	75	80	30	108	67654
12	218946	41	76	29	96	80670
12	122774	45	24	24	69	15986
12	153935	33	50	25	84	65553
12	206161	71	75	28	99	73107
12	183167	66	91	39	138	82875
12	144966	144	39	32	50	37510
12	34662	25	18	6	7	36278
12	116048	64	50	20	50	33416
12	77945	20	28	19	67	25272
12	65490	22	27	16	40	18653
12	81872	45	32	16	61	27913
12	101011	34	30	13	39	27570
12	71965	35	32	15	56	46090
12	72880	33	14	19	67	24094
12	62792	35	28	15	51	30884
12	31774	23	0	17	47	4143
12	182192	52	77	40	138	70054
12	67989	21	23	18	57	33747
12	52915	14	20	18	49	24006
12	56375	30	10	13	40	41385
12	30989	14	5	17	41	4154
12	135131	66	38	15	60	34029
12	76990	27	42	17	67	24069
12	64175	42	37	18	59	21792
12	59194	31	7	24	68	37636
12	53515	28	5	22	81	12934
12	89746	36	28	18	55	24760
12	49862	37	17	14	54	36341
12	85574	34	37	21	36	24266
12	220801	75	51	18	63	44418
12	49289	19	15	24	44	10672
12	135781	31	45	14	44	24874
12	82316	32	27	10	38	21233
12	133368	36	37	16	57	32755
12	92499	32	25	18	55	21399
12	37460	20	5	7	14	3738
12	91735	35	7	18	49	16563
12	187681	62	114	28	91	92945
12	79619	43	42	11	32	20760
12	98104	54	55	17	47	25568
12	80949	17	11	16	56	18472
12	31706	13	26	10	25	25139
12	70344	28	20	16	61	28904
12	99923	66	44	25	80	32334
12	91899	35	18	15	33	36874
12	235454	73	151	32	106	89275
12	46455	20	22	17	12	11342
12	60812	44	26	13	43	22574
12	77648	47	31	16	52	21280
12	101523	42	59	22	87	61056
12	254488	83	120	39	117	103772
12	103597	43	27	16	49	23789
12	136084	30	27	13	41	27142
12	62088	38	13	16	38	14483
12	86680	31	37	14	49	22197
12	38395	31	16	16	43	16380
12	179321	89	108	30	103	101193
12	40248	16	8	4	7	5444
12	70551	31	23	15	47	30143
12	84105	20	17	17	63	20055
12	112611	41	46	20	73	26706
12	73624	24	30	17	40	19499
12	89806	42	27	16	40	27975
12	98866	18	25	13	39	23517
12	61254	46	36	14	30	13310
12	99643	55	33	17	46	54968
12	310839	92	130	24	85	162901
12	181633	70	47	30	73	64466
12	50090	20	16	17	36	21152
12	92661	61	40	17	41	35232
12	46698	45	14	13	33	10288
12	61361	77	27	12	25	13294
12	84337	26	38	14	35	24548
12	72535	14	17	16	39	19540
12	84856	29	29	17	43	41369
12	124064	40	43	22	86	22827
12	54157	19	37	15	30	18625
12	76302	31	29	20	68	30976
12	59382	49	29	12	24	26263
12	65745	53	26	21	42	38084
12	74914	30	35	23	79	65892
12	101645	63	20	11	38	17140
12	73504	35	23	7	3	35130
12	99373	63	12	18	62	28394
12	135458	81	43	12	29	19474
12	184510	49	64	40	140	110681
12	385534	92	121	25	91	119182
12	108043	62	45	14	38	34553
12	328107	65	129	41	144	105547
12	362301	119	76	34	110	100708
12	130585	46	67	29	107	95364
12	85709	44	21	10	35	35944
12	174184	53	72	25	70	55183
12	81437	38	37	14	40	28579
12	120982	56	58	28	103	84786
12	187559	121	75	36	116	73511
12	235800	94	105	23	62	149193
12	220516	62	98	32	119	55801
12	210907	56	79	30	94	112285
12	155754	61	74	20	31	40652
12	152299	53	62	33	98	61370
12	79863	37	29	22	49	29011
12	346485	90	118	38	111	106117
12	135649	46	99	30	108	62133
12	134019	53	32	18	54	28987
12	167488	45	69	28	72	83737
12	108446	60	22	17	65	46300
12	27634	20	2	16	17	5839
12	232317	54	118	33	106	129838
12	22648	19	12	13	28	44339
12	119308	30	32	16	58	23686
12	194979	62	66	40	151	74011
12	81240	66	58	17	50	45549
12	121848	39	37	17	52	30594
12	86678	40	12	15	50	29156
12	73566	32	22	23	67	22618
12	102010	53	28	13	44	44332
12	151101	32	48	35	124	83209
12	207176	70	56	32	114	87011
12	165543	65	70	32	90	51633
12	182999	88	73	34	104	225920
12	256462	105	123	35	124	105195
12	244052	68	101	44	164	143558
12	63123	43	34	17	60	39067
12	87186	54	28	15	48	51776
12	182079	63	124	33	118	102860
12	95227	34	37	32	48	34777
12	165446	33	69	25	60	57635
12	229242	247	63	31	119	91721
12	167542	66	59	28	70	55461
12	225060	93	93	41	139	109825
12	164709	109	81	31	63	87771
12	131698	65	60	19	59	65622
12	56613	19	15	12	35	8019
12	250579	83	130	38	120	103487
12	44296	25	10	20	38	18779
12	152474	65	106	32	83	65567
12	86230	44	21	17	54	18632
12	258873	60	104	40	124	80444
12	41566	35	0	9	27	13497
12	250047	81	41	18	61	83305
12	243511	71	133	42	110	101338
12	62215	27	24	10	25	19546
12	104838	49	46	16	52	29236
12	77272	59	21	16	48	27507
12	148446	91	135	37	129	126846
12	69304	30	40	19	40	22818
12	102538	57	50	15	45	45833
12	101097	64	30	14	41	31701
12	223632	73	105	33	120	72654
12	141722	94	19	27	36	75345
12	351067	95	136	45	160	213688
12	311473	112	128	38	129	132068
12	152601	48	46	24	46	73224
12	215147	58	101	36	117	99052
12	52164	52	32	16	43	16734
12	91005	29	29	11	23	32073
12	265318	117	110	52	197	115929
12	299775	95	91	31	97	98952
12	241066	82	75	45	93	67267
12	118612	46	54	12	43	30080
12	173326	88	86	44	148	71701
12	225548	112	81	31	94	85323
12	277965	89	115	39	133	139077
12	317394	86	116	31	82	91413
12	177939	82	55	36	73	46821
12	92630	40	27	8	24	18513
12	140344	53	33	25	73	51715
12	230964	53	102	30	115	133824
12	199476	70	87	32	105	135400
12	174724	92	123	34	120	69112
12	128423	64	32	38	120	92696
12	341570	168	94	21	78	117105
12	64187	27	10	16	54	20154
12	150580	77	27	22	71	45588
12	204713	71	68	33	69	41140
12	244749	95	98	33	115	76643
12	98146	40	15	17	48	27114
12	351619	139	95	40	141	115168
12	58981	36	0	23	61	42744
12	233328	132	92	28	102	120733
12	182613	39	81	28	99	138599
12	89113	39	19	14	32	82206
12	324799	154	158	47	168	97668
12	143246	103	67	27	104	106671
12	40151	29	16	9	19	13127
12	158399	39	23	18	57	32928
12	195838	67	111	31	98	102372
12	286468	144	57	29	107	89691
12	175824	107	57	20	77	39992
12	143756	46	105	34	120	69094
12	139942	42	54	22	87	65461
12	104011	55	25	22	79	63339
12	196553	57	41	29	99	95260
12	180083	66	63	34	70	53855
12	260561	75	114	43	158	90183
12	294424	77	107	33	124	101494
12	99611	35	41	21	67	45097
12	131069	67	47	30	83	51513
12	65475	18	16	13	46	69008
12	237213	84	78	38	123	66198
12	324598	110	113	37	133	135777
12	170266	62	44	42	122	74007
12	269651	67	106	30	93	70106
12	243060	63	58	29	104	111813
12	149112	56	56	35	95	60578
12	174415	100	73	31	114	82753
12	133131	55	44	30	90	57793
12	133328	55	56	20	56	40909
12	56653	45	38	18	49	27717
12	50857	21	15	20	37	36944
12	74408	67	29	7	21	34988
12	193339	78	100	35	71	84651
12	275541	63	116	33	115	93133
12	96560	76	42	17	38	22996
12	243199	75	88	28	105	95536
12	76702	49	35	21	42	49303
12	272458	65	100	43	152	93815
12	103425	67	17	19	46	25659
12	271856	103	109	37	86	54990
12	139526	151	28	21	77	48259
12	172494	52	46	43	139	86687
12	120445	118	36	16	56	51009
12	181528	54	32	16	60	40662
12	236785	119	77	31	71	101481
12	224330	83	131	39	132	130115
12	202925	61	115	36	134	114789
12	30837	19	8	4	4	2325
12	329267	259	79	39	140	115762
12	125930	75	37	17	65	32387
12	204271	42	92	35	116	74163
12	51567	30	21	14	45	28207
12	325107	99	84	36	126	79215
12	119016	52	118	23	74	78664
12	265769	146	96	32	120	83122

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 9 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155389&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]9 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155389&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155389&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Multiple Linear Regression - Estimated Regression Equation
Time_in_rfc[t] = -35357.0494238496 + 3296.66979402427Maand[t] + 747.013860912684Logins[t] + 926.975801447885Blogged_computations[t] + 512.732747175729Compendiums_reviewed[t] + 260.244127595205Feedback_messages_p120[t] + 0.248016241929808Total_number_of_characters[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Time_in_rfc[t] =  -35357.0494238496 +  3296.66979402427Maand[t] +  747.013860912684Logins[t] +  926.975801447885Blogged_computations[t] +  512.732747175729Compendiums_reviewed[t] +  260.244127595205Feedback_messages_p120[t] +  0.248016241929808Total_number_of_characters[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155389&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Time_in_rfc[t] =  -35357.0494238496 +  3296.66979402427Maand[t] +  747.013860912684Logins[t] +  926.975801447885Blogged_computations[t] +  512.732747175729Compendiums_reviewed[t] +  260.244127595205Feedback_messages_p120[t] +  0.248016241929808Total_number_of_characters[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155389&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155389&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
Time_in_rfc[t] = -35357.0494238496 + 3296.66979402427Maand[t] + 747.013860912684Logins[t] + 926.975801447885Blogged_computations[t] + 512.732747175729Compendiums_reviewed[t] + 260.244127595205Feedback_messages_p120[t] + 0.248016241929808Total_number_of_characters[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-35357.049423849662935.488691-0.56180.57470.28735
Maand3296.669794024275426.5886290.60750.5440060.272003
Logins747.01386091268481.8130019.130700
Blogged_computations926.975801447885105.4009768.794800
Compendiums_reviewed512.732747175729533.1307250.96170.3370050.168502
Feedback_messages_p120260.244127595205149.5712071.73990.0829610.041481
Total_number_of_characters0.2480162419298080.0918932.6990.0073750.003688

\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) & -35357.0494238496 & 62935.488691 & -0.5618 & 0.5747 & 0.28735 \tabularnewline
Maand & 3296.66979402427 & 5426.588629 & 0.6075 & 0.544006 & 0.272003 \tabularnewline
Logins & 747.013860912684 & 81.813001 & 9.1307 & 0 & 0 \tabularnewline
Blogged_computations & 926.975801447885 & 105.400976 & 8.7948 & 0 & 0 \tabularnewline
Compendiums_reviewed & 512.732747175729 & 533.130725 & 0.9617 & 0.337005 & 0.168502 \tabularnewline
Feedback_messages_p120 & 260.244127595205 & 149.571207 & 1.7399 & 0.082961 & 0.041481 \tabularnewline
Total_number_of_characters & 0.248016241929808 & 0.091893 & 2.699 & 0.007375 & 0.003688 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155389&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]-35357.0494238496[/C][C]62935.488691[/C][C]-0.5618[/C][C]0.5747[/C][C]0.28735[/C][/ROW]
[ROW][C]Maand[/C][C]3296.66979402427[/C][C]5426.588629[/C][C]0.6075[/C][C]0.544006[/C][C]0.272003[/C][/ROW]
[ROW][C]Logins[/C][C]747.013860912684[/C][C]81.813001[/C][C]9.1307[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]Blogged_computations[/C][C]926.975801447885[/C][C]105.400976[/C][C]8.7948[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]Compendiums_reviewed[/C][C]512.732747175729[/C][C]533.130725[/C][C]0.9617[/C][C]0.337005[/C][C]0.168502[/C][/ROW]
[ROW][C]Feedback_messages_p120[/C][C]260.244127595205[/C][C]149.571207[/C][C]1.7399[/C][C]0.082961[/C][C]0.041481[/C][/ROW]
[ROW][C]Total_number_of_characters[/C][C]0.248016241929808[/C][C]0.091893[/C][C]2.699[/C][C]0.007375[/C][C]0.003688[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155389&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155389&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)-35357.049423849662935.488691-0.56180.57470.28735
Maand3296.669794024275426.5886290.60750.5440060.272003
Logins747.01386091268481.8130019.130700
Blogged_computations926.975801447885105.4009768.794800
Compendiums_reviewed512.732747175729533.1307250.96170.3370050.168502
Feedback_messages_p120260.244127595205149.5712071.73990.0829610.041481
Total_number_of_characters0.2480162419298080.0918932.6990.0073750.003688






Multiple Linear Regression - Regression Statistics
Multiple R0.897138815857146
R-squared0.804858054917562
Adjusted R-squared0.800706098639212
F-TEST (value)193.850320417503
F-TEST (DF numerator)6
F-TEST (DF denominator)282
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation36758.2419871998
Sum Squared Residuals381029475825.049

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.897138815857146 \tabularnewline
R-squared & 0.804858054917562 \tabularnewline
Adjusted R-squared & 0.800706098639212 \tabularnewline
F-TEST (value) & 193.850320417503 \tabularnewline
F-TEST (DF numerator) & 6 \tabularnewline
F-TEST (DF denominator) & 282 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 36758.2419871998 \tabularnewline
Sum Squared Residuals & 381029475825.049 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155389&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.897138815857146[/C][/ROW]
[ROW][C]R-squared[/C][C]0.804858054917562[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.800706098639212[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]193.850320417503[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]6[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]282[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]36758.2419871998[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]381029475825.049[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155389&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155389&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 R0.897138815857146
R-squared0.804858054917562
Adjusted R-squared0.800706098639212
F-TEST (value)193.850320417503
F-TEST (DF numerator)6
F-TEST (DF denominator)282
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation36758.2419871998
Sum Squared Residuals381029475825.049






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
11468810281.49215645454406.50784354546
24666031152.96510552215507.034894478
371998241.28713282436-1042.28713282436
42105413481.82738363777572.17261636233
58095386878.4383831826-5925.43838318255
61934919356.2424147475-7.24241474747972
7173260126276.25786737846983.7421326217
83821452879.2375519702-14665.2375519702
9175477168.808638353810378.1913616462
104328760663.4547288785-17376.4547288785
117880089520.0528489857-10720.0528489857
126502966249.3036998664-1220.30369986641
133141441730.2024906642-10316.2024906642
14717613958.4810581992-6782.48105819915
152418831598.7939052566-7410.79390525662
166185760590.07699276291266.92300723714
172293820302.58225466862635.41774533139
184341023571.610576661719838.3894233383
191976422633.274084161-2869.274084161
205311742709.558636438910407.4413635611
213317035890.6102942444-2720.61029424436
22232138248062.77578192-15924.7757819204
23111665109986.5819769771678.4180230233
24152871156517.696533523-3646.69653352335
25100750206152.298049857-105402.298049857
26221698196715.20470358824982.7952964124
27209641141748.07431809167892.9256819086
285274668119.9098286273-15373.9098286273
29215641155276.67597441160364.3240255887
3085439103995.132828311-18556.1328283109
31145790124468.93008259521321.0699174046
32132943192502.108899961-59559.1088999609
33132487151414.413528304-18927.4135283043
34135473161228.446359985-25755.446359985
3584853118300.836337724-33447.8363377237
36210767214557.442492022-3790.44249202235
3797839105457.157906114-7618.15790611436
38120221117784.5538640952436.44613590515
39224549163802.38612627360746.6138737272
40116408123806.00860554-7398.00860554034
41158015140487.55502085217527.4449791477
42150629179949.031023692-29320.0310236918
43123185113572.0788137869612.92118621375
44124817119170.2932893825646.70671061834
45104389253244.844055068-148855.844055068
46162765163179.042516173-414.04251617344
47149061143278.3516297355782.64837026468
4884207108088.608598711-23881.6085987105
49201940194764.7028051467175.29719485395
50168809182258.647157007-13449.6471570069
51176508164462.68701756312045.3129824371
5299466145017.949206941-45551.949206941
5310640881719.489376505524688.5106234944
54344297194654.730815797149642.269184203
55218946165140.87346561453805.1265343856
5612277494293.249460038228480.7505399618
57153935126140.2696915727794.7303084304
58206161185016.56628944221144.4337105582
59183167214325.313654361-31158.3136543609
60144966186647.783856506-41681.7838565064
613466253459.5376542711-18797.5376542711
62116048129915.237338849-13867.237338849
637794578544.7329745038-599.732974503816
646549068905.3757029502-3415.3757029502
658187298483.3305909507-16611.3305909507
6610101181063.587898411819947.4121015882
677196593707.4298262302-21742.4298262302
687288074986.088813105-2106.088813105
696279284926.971007678-22134.971007678
703177443359.7688947106-11585.7688947106
71182192188222.374890707-6030.37489070658
726798973643.6314554044-5654.63145540442
735291561135.7277912721-8220.72779127209
745637563222.6049356588-6847.60493565883
753098939712.7865668259-8723.7865668259
76135131120476.36693967614654.6330603239
777699095427.66218777-18437.66218777
786417599864.0378377608-35689.0378377608
795919473185.7742928318-13991.7742928318
805351565321.992063434-11806.992063434
818974686734.30815492053011.69184507949
824986277845.6891813975-27983.6891813975
838557490054.1024398311-4480.10243983109
84220801144145.74846843476655.2515315656
854928958704.0453637824-9415.04536378238
8613578193872.48493430141908.515065699
878231673418.51147801118897.48852198885
8813336896555.002983019336812.9970169807
899249980131.742717800112367.2572822
903746031937.77605883145522.22394116861
919173562926.348562932428808.6514370676
92187681217283.690984337-29602.690984337
937961994374.2572689407-14755.2572689407
9498104122814.615645984-24710.6156459837
958094954457.708676954626491.2913230454
963170655883.8501014624-24177.8501014624
977034474906.1694338128-4562.16943381285
9899923135950.044241954-36027.0442419538
999189972458.43598564519440.564014355
100235454264843.321402697-29389.3214026969
1014645554189.1194036466-7734.11940364657
1026081284627.7106674466-23815.7106674466
1037764895063.0936302509-17415.0936302509
104101523139333.381754115-37810.3817541148
105254488253624.516259973863.483740026911
10610359788208.675349024915388.3246509751
10713608475708.942354061860375.0576459382
1086208866325.2202732451-4237.22027324505
1098668087093.9596810478-413.95968104782
1103839565648.7581001168-27253.7581001168
111179321238085.243409223-58764.2434092232
1124024828793.856593562911454.1434064371
1137055176079.280011137-5528.280011137
1148410564987.65641969719117.343580303
115112611113347.441283406-736.441283406422
1167362473902.8853169676-278.88531696756
1178980686157.66032847353648.33967152646
1189886663471.277288027935394.7227119721
1196125490223.4330269511-28969.4330269511
12099643110199.595260184-10556.595260184
121310839268263.54810105142575.4518989488
122181633150430.23981834931202.760181651
1235009057306.1629905756-7216.16299057559
12492661114974.439847093-22313.4398470926
1254669868601.446086683-21903.446086683
12661361102707.426110015-41346.426110015
1278433781225.53457637643111.4654236236
1287253553619.253080166418915.7469198336
1298485682915.82641387361940.1735861264
130124064113266.08416879310797.9158312065
1315415772811.9736567892-18654.9736567892
1327630289876.5227647298-13574.5227647298
1335938286601.2681213481-27219.2681213481
1346574599039.1851778027-33294.1851778027
13574914107751.9824608-32837.9824608
13610164589584.712825126212060.2871748738
1377350464751.58886169688752.41113830316
1389937394795.06949273624577.93050726383
139135458123100.81126233912357.1887376611
140184510184527.292005219-17.2920052187292
141385534251151.941319838134382.058680162
142108043117868.999062662-9825.99906266157
143328107257013.33474542371093.6652545769
144362301234584.785594805127716.214405195
145130585167040.196619611-36455.1966196107
1468570979688.65755251986020.34244748016
147174184155258.66832653218925.3316734682
1488143791563.6992150758-10126.6992150758
149120982161990.327951017-41008.3279510165
150187559230993.47004334-43434.47004334
151235800236685.02646044-885.026460440222
152220516202577.52943229917938.4705677012
153210907186960.28676424523946.7132357555
154155754146771.6220931558982.3779068446
155152299158912.084350944-6613.08435094424
1567986389952.0810848564-10089.0810848564
157346485255507.06225804590977.9377419554
158135649189234.571405145-53585.5714051445
159134019103929.5675232730089.4324767302
160167488155642.17230366811845.827696332
161108446106532.7643880821913.23561191799
1622763435073.2578861494-7439.25788614944
163232317230632.872166151684.12783384976
1642264854469.1145160333-31821.1145160333
16511930885449.025639837533858.9743601625
166194979189860.3536119615118.6463880394
16781240140296.054294065-59056.0542940646
16812184897471.593576146724376.4064238533
1698667873141.611295425313536.3887045747
1707356683339.7403793899-9773.74037938992
17110201098861.36853806043148.63146193955
172151101143455.3715708397645.62842916067
173207176176060.02293144231115.9770685577
174165543170282.437177872-4739.43717787164
175182999238139.573421112-55140.5734211118
176256462272963.453621125-16501.4536211255
177244052249469.480053046-5417.48005304561
17863123101862.116254087-38739.1162540867
17987186103521.057308631-16335.0573086309
180182079239349.799079412-57270.7990794118
18195227101423.990908831-6196.99090883076
182165446135543.15825319429902.8417468057
183229242316726.951313412-87484.9513134124
184167542154526.30985635813015.6901436421
185225060244318.386843854-19258.3868438541
186164709214771.26763257-50062.2676325696
187131698149749.084703013-18051.084703013
1885661349551.0681594777061.93184052299
189250579263091.589281112-12512.5892811118
1904429656949.5214410699-12653.5214410699
191152474205287.715451879-52813.715451879
1928623083928.768026772301.23197323
193258873218160.30338441940712.6966155812
1944156645337.1346233643-3771.13462336434
195250047148482.192964166101564.807035834
196243511255823.853163347-12312.853163347
1976221563100.9377102308-885.937710230838
198104838112434.975594588-7596.97559458809
1997727295260.9225748404-17988.9225748404
200148446281325.454972072-132879.454972072
2016930489503.357898239-20199.357898239
202102538123900.873614648-21362.873614648
203101097105531.77982357-4434.77982357046
204223632222236.3071124871395.69288751253
205141722133934.1877731177787.81222688278
206351067318948.14263169632118.8573683036
207311473292331.78900363719141.2109963634
208152601125138.09739551827462.9026044816
209215147214627.79460621519.205393789708
2105216496255.4597520925-44091.4597520925
2119100572328.988393935618676.0116060644
212265318300253.418890567-34935.418890567
213299775225204.20153352574570.798466475
214241066198940.29584302742125.7041569726
215118612113425.9379945625186.06200543788
216173326228519.511111708-55193.5111117075
217225548224472.7334105151075.26658948514
218277965266391.83988106511573.1601189351
219317394235882.01545967181511.9845403289
220177939165510.36245508712428.6375449128
2219263074051.134906579218578.8650934208
222140344119027.22412583721316.7758741627
223230964216846.83712923314117.1628707668
224199476214455.333558711-14979.3335587114
225174724252749.394114151-78025.3941141507
226128423155378.354115214-26955.3541152135
227341570276947.4137281864622.5862718198
2286418760897.54654836913289.45345163092
229150580127815.41996803322764.5800319671
230204713165355.74038155939357.2596184411
231244749231869.89759351312879.1024064867
2329814675921.066772909422224.9332270906
233351619281867.88233737969751.117662621
2345898169364.4383106953-10383.4383106953
235233328258935.754350664-25607.7543506642
236182613182917.05726539-304.057265390151
2378911386843.56263513472269.43736486529
238324799357748.002183815-32949.002183815
239143246210618.108461997-67372.108461997
2404015153512.9452507787-13361.9452507787
24115839986886.755649692271512.2443503078
242195838223935.789131923-28097.7891319227
243286468229570.80083410756897.1991658929
244175824177183.210220231-1359.21022023058
245143756201696.727793751-57940.7277937506
246139942135791.0142925764150.98570742379
247104011116011.652756316-12000.6527563157
248196553149048.23154208347504.7684579171
249180083160912.29546066519170.7045393355
250260561251437.1980725069123.80192749353
251294424235272.0790866759151.9209133296
25299611107743.013797626-8132.01379762648
253131069147579.085129846-16510.0851298462
2546547568232.7108297922-2757.71082979223
255237213207168.316204230044.6837958005
256324598278381.26026461646216.7397353843
257170266162944.279709237321.72029077008
258269651209484.46467742460166.5353225756
259243060174695.53682281368364.4631771869
260149112155639.575372952-6527.57537295243
261174415212660.241478124-38245.2414781241
262133131139213.242287036-6082.24228703594
263133328132173.8178656731154.18213432656
26456653101899.110179429-45246.1101794288
2655085762841.3159117183-11984.3159117183
2667440898867.0632099497-24459.0632099497
267193339212585.45150643-19246.4515064298
268275541228740.80629979246800.1937002081
26996560124218.14024464-27658.1402446399
270243199207179.5282077336019.4717922701
27176702107176.406165393-30474.4061653934
272272458230328.72846822742129.2715317729
27310342598088.50622760085336.49377239923
274271856237176.29789867734679.7021013226
275139526185732.604877609-46206.6048776094
276172494165409.8215669637084.17843303698
277120445161150.208129003-40705.208129003
278181528108108.17027993373419.8297200673
279236785224015.75873352412769.2412664758
280224330274258.403850985-49928.4038509848
281202925238173.679177587-35248.6791775866
2823083729480.60313493631356.39686506368
283329267356052.27759667-26785.2775966703
284125930128191.959349521-2261.95934952113
285204271187386.93749841416884.0625015855
2865156771964.9341005863-20397.9341005863
287325107226919.07323621298187.9267637885
288119016202991.721725005-83975.721725005
289265769270509.038019428-4740.03801942795

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 14688 & 10281.4921564545 & 4406.50784354546 \tabularnewline
2 & 46660 & 31152.965105522 & 15507.034894478 \tabularnewline
3 & 7199 & 8241.28713282436 & -1042.28713282436 \tabularnewline
4 & 21054 & 13481.8273836377 & 7572.17261636233 \tabularnewline
5 & 80953 & 86878.4383831826 & -5925.43838318255 \tabularnewline
6 & 19349 & 19356.2424147475 & -7.24241474747972 \tabularnewline
7 & 173260 & 126276.257867378 & 46983.7421326217 \tabularnewline
8 & 38214 & 52879.2375519702 & -14665.2375519702 \tabularnewline
9 & 17547 & 7168.8086383538 & 10378.1913616462 \tabularnewline
10 & 43287 & 60663.4547288785 & -17376.4547288785 \tabularnewline
11 & 78800 & 89520.0528489857 & -10720.0528489857 \tabularnewline
12 & 65029 & 66249.3036998664 & -1220.30369986641 \tabularnewline
13 & 31414 & 41730.2024906642 & -10316.2024906642 \tabularnewline
14 & 7176 & 13958.4810581992 & -6782.48105819915 \tabularnewline
15 & 24188 & 31598.7939052566 & -7410.79390525662 \tabularnewline
16 & 61857 & 60590.0769927629 & 1266.92300723714 \tabularnewline
17 & 22938 & 20302.5822546686 & 2635.41774533139 \tabularnewline
18 & 43410 & 23571.6105766617 & 19838.3894233383 \tabularnewline
19 & 19764 & 22633.274084161 & -2869.274084161 \tabularnewline
20 & 53117 & 42709.5586364389 & 10407.4413635611 \tabularnewline
21 & 33170 & 35890.6102942444 & -2720.61029424436 \tabularnewline
22 & 232138 & 248062.77578192 & -15924.7757819204 \tabularnewline
23 & 111665 & 109986.581976977 & 1678.4180230233 \tabularnewline
24 & 152871 & 156517.696533523 & -3646.69653352335 \tabularnewline
25 & 100750 & 206152.298049857 & -105402.298049857 \tabularnewline
26 & 221698 & 196715.204703588 & 24982.7952964124 \tabularnewline
27 & 209641 & 141748.074318091 & 67892.9256819086 \tabularnewline
28 & 52746 & 68119.9098286273 & -15373.9098286273 \tabularnewline
29 & 215641 & 155276.675974411 & 60364.3240255887 \tabularnewline
30 & 85439 & 103995.132828311 & -18556.1328283109 \tabularnewline
31 & 145790 & 124468.930082595 & 21321.0699174046 \tabularnewline
32 & 132943 & 192502.108899961 & -59559.1088999609 \tabularnewline
33 & 132487 & 151414.413528304 & -18927.4135283043 \tabularnewline
34 & 135473 & 161228.446359985 & -25755.446359985 \tabularnewline
35 & 84853 & 118300.836337724 & -33447.8363377237 \tabularnewline
36 & 210767 & 214557.442492022 & -3790.44249202235 \tabularnewline
37 & 97839 & 105457.157906114 & -7618.15790611436 \tabularnewline
38 & 120221 & 117784.553864095 & 2436.44613590515 \tabularnewline
39 & 224549 & 163802.386126273 & 60746.6138737272 \tabularnewline
40 & 116408 & 123806.00860554 & -7398.00860554034 \tabularnewline
41 & 158015 & 140487.555020852 & 17527.4449791477 \tabularnewline
42 & 150629 & 179949.031023692 & -29320.0310236918 \tabularnewline
43 & 123185 & 113572.078813786 & 9612.92118621375 \tabularnewline
44 & 124817 & 119170.293289382 & 5646.70671061834 \tabularnewline
45 & 104389 & 253244.844055068 & -148855.844055068 \tabularnewline
46 & 162765 & 163179.042516173 & -414.04251617344 \tabularnewline
47 & 149061 & 143278.351629735 & 5782.64837026468 \tabularnewline
48 & 84207 & 108088.608598711 & -23881.6085987105 \tabularnewline
49 & 201940 & 194764.702805146 & 7175.29719485395 \tabularnewline
50 & 168809 & 182258.647157007 & -13449.6471570069 \tabularnewline
51 & 176508 & 164462.687017563 & 12045.3129824371 \tabularnewline
52 & 99466 & 145017.949206941 & -45551.949206941 \tabularnewline
53 & 106408 & 81719.4893765055 & 24688.5106234944 \tabularnewline
54 & 344297 & 194654.730815797 & 149642.269184203 \tabularnewline
55 & 218946 & 165140.873465614 & 53805.1265343856 \tabularnewline
56 & 122774 & 94293.2494600382 & 28480.7505399618 \tabularnewline
57 & 153935 & 126140.26969157 & 27794.7303084304 \tabularnewline
58 & 206161 & 185016.566289442 & 21144.4337105582 \tabularnewline
59 & 183167 & 214325.313654361 & -31158.3136543609 \tabularnewline
60 & 144966 & 186647.783856506 & -41681.7838565064 \tabularnewline
61 & 34662 & 53459.5376542711 & -18797.5376542711 \tabularnewline
62 & 116048 & 129915.237338849 & -13867.237338849 \tabularnewline
63 & 77945 & 78544.7329745038 & -599.732974503816 \tabularnewline
64 & 65490 & 68905.3757029502 & -3415.3757029502 \tabularnewline
65 & 81872 & 98483.3305909507 & -16611.3305909507 \tabularnewline
66 & 101011 & 81063.5878984118 & 19947.4121015882 \tabularnewline
67 & 71965 & 93707.4298262302 & -21742.4298262302 \tabularnewline
68 & 72880 & 74986.088813105 & -2106.088813105 \tabularnewline
69 & 62792 & 84926.971007678 & -22134.971007678 \tabularnewline
70 & 31774 & 43359.7688947106 & -11585.7688947106 \tabularnewline
71 & 182192 & 188222.374890707 & -6030.37489070658 \tabularnewline
72 & 67989 & 73643.6314554044 & -5654.63145540442 \tabularnewline
73 & 52915 & 61135.7277912721 & -8220.72779127209 \tabularnewline
74 & 56375 & 63222.6049356588 & -6847.60493565883 \tabularnewline
75 & 30989 & 39712.7865668259 & -8723.7865668259 \tabularnewline
76 & 135131 & 120476.366939676 & 14654.6330603239 \tabularnewline
77 & 76990 & 95427.66218777 & -18437.66218777 \tabularnewline
78 & 64175 & 99864.0378377608 & -35689.0378377608 \tabularnewline
79 & 59194 & 73185.7742928318 & -13991.7742928318 \tabularnewline
80 & 53515 & 65321.992063434 & -11806.992063434 \tabularnewline
81 & 89746 & 86734.3081549205 & 3011.69184507949 \tabularnewline
82 & 49862 & 77845.6891813975 & -27983.6891813975 \tabularnewline
83 & 85574 & 90054.1024398311 & -4480.10243983109 \tabularnewline
84 & 220801 & 144145.748468434 & 76655.2515315656 \tabularnewline
85 & 49289 & 58704.0453637824 & -9415.04536378238 \tabularnewline
86 & 135781 & 93872.484934301 & 41908.515065699 \tabularnewline
87 & 82316 & 73418.5114780111 & 8897.48852198885 \tabularnewline
88 & 133368 & 96555.0029830193 & 36812.9970169807 \tabularnewline
89 & 92499 & 80131.7427178001 & 12367.2572822 \tabularnewline
90 & 37460 & 31937.7760588314 & 5522.22394116861 \tabularnewline
91 & 91735 & 62926.3485629324 & 28808.6514370676 \tabularnewline
92 & 187681 & 217283.690984337 & -29602.690984337 \tabularnewline
93 & 79619 & 94374.2572689407 & -14755.2572689407 \tabularnewline
94 & 98104 & 122814.615645984 & -24710.6156459837 \tabularnewline
95 & 80949 & 54457.7086769546 & 26491.2913230454 \tabularnewline
96 & 31706 & 55883.8501014624 & -24177.8501014624 \tabularnewline
97 & 70344 & 74906.1694338128 & -4562.16943381285 \tabularnewline
98 & 99923 & 135950.044241954 & -36027.0442419538 \tabularnewline
99 & 91899 & 72458.435985645 & 19440.564014355 \tabularnewline
100 & 235454 & 264843.321402697 & -29389.3214026969 \tabularnewline
101 & 46455 & 54189.1194036466 & -7734.11940364657 \tabularnewline
102 & 60812 & 84627.7106674466 & -23815.7106674466 \tabularnewline
103 & 77648 & 95063.0936302509 & -17415.0936302509 \tabularnewline
104 & 101523 & 139333.381754115 & -37810.3817541148 \tabularnewline
105 & 254488 & 253624.516259973 & 863.483740026911 \tabularnewline
106 & 103597 & 88208.6753490249 & 15388.3246509751 \tabularnewline
107 & 136084 & 75708.9423540618 & 60375.0576459382 \tabularnewline
108 & 62088 & 66325.2202732451 & -4237.22027324505 \tabularnewline
109 & 86680 & 87093.9596810478 & -413.95968104782 \tabularnewline
110 & 38395 & 65648.7581001168 & -27253.7581001168 \tabularnewline
111 & 179321 & 238085.243409223 & -58764.2434092232 \tabularnewline
112 & 40248 & 28793.8565935629 & 11454.1434064371 \tabularnewline
113 & 70551 & 76079.280011137 & -5528.280011137 \tabularnewline
114 & 84105 & 64987.656419697 & 19117.343580303 \tabularnewline
115 & 112611 & 113347.441283406 & -736.441283406422 \tabularnewline
116 & 73624 & 73902.8853169676 & -278.88531696756 \tabularnewline
117 & 89806 & 86157.6603284735 & 3648.33967152646 \tabularnewline
118 & 98866 & 63471.2772880279 & 35394.7227119721 \tabularnewline
119 & 61254 & 90223.4330269511 & -28969.4330269511 \tabularnewline
120 & 99643 & 110199.595260184 & -10556.595260184 \tabularnewline
121 & 310839 & 268263.548101051 & 42575.4518989488 \tabularnewline
122 & 181633 & 150430.239818349 & 31202.760181651 \tabularnewline
123 & 50090 & 57306.1629905756 & -7216.16299057559 \tabularnewline
124 & 92661 & 114974.439847093 & -22313.4398470926 \tabularnewline
125 & 46698 & 68601.446086683 & -21903.446086683 \tabularnewline
126 & 61361 & 102707.426110015 & -41346.426110015 \tabularnewline
127 & 84337 & 81225.5345763764 & 3111.4654236236 \tabularnewline
128 & 72535 & 53619.2530801664 & 18915.7469198336 \tabularnewline
129 & 84856 & 82915.8264138736 & 1940.1735861264 \tabularnewline
130 & 124064 & 113266.084168793 & 10797.9158312065 \tabularnewline
131 & 54157 & 72811.9736567892 & -18654.9736567892 \tabularnewline
132 & 76302 & 89876.5227647298 & -13574.5227647298 \tabularnewline
133 & 59382 & 86601.2681213481 & -27219.2681213481 \tabularnewline
134 & 65745 & 99039.1851778027 & -33294.1851778027 \tabularnewline
135 & 74914 & 107751.9824608 & -32837.9824608 \tabularnewline
136 & 101645 & 89584.7128251262 & 12060.2871748738 \tabularnewline
137 & 73504 & 64751.5888616968 & 8752.41113830316 \tabularnewline
138 & 99373 & 94795.0694927362 & 4577.93050726383 \tabularnewline
139 & 135458 & 123100.811262339 & 12357.1887376611 \tabularnewline
140 & 184510 & 184527.292005219 & -17.2920052187292 \tabularnewline
141 & 385534 & 251151.941319838 & 134382.058680162 \tabularnewline
142 & 108043 & 117868.999062662 & -9825.99906266157 \tabularnewline
143 & 328107 & 257013.334745423 & 71093.6652545769 \tabularnewline
144 & 362301 & 234584.785594805 & 127716.214405195 \tabularnewline
145 & 130585 & 167040.196619611 & -36455.1966196107 \tabularnewline
146 & 85709 & 79688.6575525198 & 6020.34244748016 \tabularnewline
147 & 174184 & 155258.668326532 & 18925.3316734682 \tabularnewline
148 & 81437 & 91563.6992150758 & -10126.6992150758 \tabularnewline
149 & 120982 & 161990.327951017 & -41008.3279510165 \tabularnewline
150 & 187559 & 230993.47004334 & -43434.47004334 \tabularnewline
151 & 235800 & 236685.02646044 & -885.026460440222 \tabularnewline
152 & 220516 & 202577.529432299 & 17938.4705677012 \tabularnewline
153 & 210907 & 186960.286764245 & 23946.7132357555 \tabularnewline
154 & 155754 & 146771.622093155 & 8982.3779068446 \tabularnewline
155 & 152299 & 158912.084350944 & -6613.08435094424 \tabularnewline
156 & 79863 & 89952.0810848564 & -10089.0810848564 \tabularnewline
157 & 346485 & 255507.062258045 & 90977.9377419554 \tabularnewline
158 & 135649 & 189234.571405145 & -53585.5714051445 \tabularnewline
159 & 134019 & 103929.56752327 & 30089.4324767302 \tabularnewline
160 & 167488 & 155642.172303668 & 11845.827696332 \tabularnewline
161 & 108446 & 106532.764388082 & 1913.23561191799 \tabularnewline
162 & 27634 & 35073.2578861494 & -7439.25788614944 \tabularnewline
163 & 232317 & 230632.87216615 & 1684.12783384976 \tabularnewline
164 & 22648 & 54469.1145160333 & -31821.1145160333 \tabularnewline
165 & 119308 & 85449.0256398375 & 33858.9743601625 \tabularnewline
166 & 194979 & 189860.353611961 & 5118.6463880394 \tabularnewline
167 & 81240 & 140296.054294065 & -59056.0542940646 \tabularnewline
168 & 121848 & 97471.5935761467 & 24376.4064238533 \tabularnewline
169 & 86678 & 73141.6112954253 & 13536.3887045747 \tabularnewline
170 & 73566 & 83339.7403793899 & -9773.74037938992 \tabularnewline
171 & 102010 & 98861.3685380604 & 3148.63146193955 \tabularnewline
172 & 151101 & 143455.371570839 & 7645.62842916067 \tabularnewline
173 & 207176 & 176060.022931442 & 31115.9770685577 \tabularnewline
174 & 165543 & 170282.437177872 & -4739.43717787164 \tabularnewline
175 & 182999 & 238139.573421112 & -55140.5734211118 \tabularnewline
176 & 256462 & 272963.453621125 & -16501.4536211255 \tabularnewline
177 & 244052 & 249469.480053046 & -5417.48005304561 \tabularnewline
178 & 63123 & 101862.116254087 & -38739.1162540867 \tabularnewline
179 & 87186 & 103521.057308631 & -16335.0573086309 \tabularnewline
180 & 182079 & 239349.799079412 & -57270.7990794118 \tabularnewline
181 & 95227 & 101423.990908831 & -6196.99090883076 \tabularnewline
182 & 165446 & 135543.158253194 & 29902.8417468057 \tabularnewline
183 & 229242 & 316726.951313412 & -87484.9513134124 \tabularnewline
184 & 167542 & 154526.309856358 & 13015.6901436421 \tabularnewline
185 & 225060 & 244318.386843854 & -19258.3868438541 \tabularnewline
186 & 164709 & 214771.26763257 & -50062.2676325696 \tabularnewline
187 & 131698 & 149749.084703013 & -18051.084703013 \tabularnewline
188 & 56613 & 49551.068159477 & 7061.93184052299 \tabularnewline
189 & 250579 & 263091.589281112 & -12512.5892811118 \tabularnewline
190 & 44296 & 56949.5214410699 & -12653.5214410699 \tabularnewline
191 & 152474 & 205287.715451879 & -52813.715451879 \tabularnewline
192 & 86230 & 83928.76802677 & 2301.23197323 \tabularnewline
193 & 258873 & 218160.303384419 & 40712.6966155812 \tabularnewline
194 & 41566 & 45337.1346233643 & -3771.13462336434 \tabularnewline
195 & 250047 & 148482.192964166 & 101564.807035834 \tabularnewline
196 & 243511 & 255823.853163347 & -12312.853163347 \tabularnewline
197 & 62215 & 63100.9377102308 & -885.937710230838 \tabularnewline
198 & 104838 & 112434.975594588 & -7596.97559458809 \tabularnewline
199 & 77272 & 95260.9225748404 & -17988.9225748404 \tabularnewline
200 & 148446 & 281325.454972072 & -132879.454972072 \tabularnewline
201 & 69304 & 89503.357898239 & -20199.357898239 \tabularnewline
202 & 102538 & 123900.873614648 & -21362.873614648 \tabularnewline
203 & 101097 & 105531.77982357 & -4434.77982357046 \tabularnewline
204 & 223632 & 222236.307112487 & 1395.69288751253 \tabularnewline
205 & 141722 & 133934.187773117 & 7787.81222688278 \tabularnewline
206 & 351067 & 318948.142631696 & 32118.8573683036 \tabularnewline
207 & 311473 & 292331.789003637 & 19141.2109963634 \tabularnewline
208 & 152601 & 125138.097395518 & 27462.9026044816 \tabularnewline
209 & 215147 & 214627.79460621 & 519.205393789708 \tabularnewline
210 & 52164 & 96255.4597520925 & -44091.4597520925 \tabularnewline
211 & 91005 & 72328.9883939356 & 18676.0116060644 \tabularnewline
212 & 265318 & 300253.418890567 & -34935.418890567 \tabularnewline
213 & 299775 & 225204.201533525 & 74570.798466475 \tabularnewline
214 & 241066 & 198940.295843027 & 42125.7041569726 \tabularnewline
215 & 118612 & 113425.937994562 & 5186.06200543788 \tabularnewline
216 & 173326 & 228519.511111708 & -55193.5111117075 \tabularnewline
217 & 225548 & 224472.733410515 & 1075.26658948514 \tabularnewline
218 & 277965 & 266391.839881065 & 11573.1601189351 \tabularnewline
219 & 317394 & 235882.015459671 & 81511.9845403289 \tabularnewline
220 & 177939 & 165510.362455087 & 12428.6375449128 \tabularnewline
221 & 92630 & 74051.1349065792 & 18578.8650934208 \tabularnewline
222 & 140344 & 119027.224125837 & 21316.7758741627 \tabularnewline
223 & 230964 & 216846.837129233 & 14117.1628707668 \tabularnewline
224 & 199476 & 214455.333558711 & -14979.3335587114 \tabularnewline
225 & 174724 & 252749.394114151 & -78025.3941141507 \tabularnewline
226 & 128423 & 155378.354115214 & -26955.3541152135 \tabularnewline
227 & 341570 & 276947.41372818 & 64622.5862718198 \tabularnewline
228 & 64187 & 60897.5465483691 & 3289.45345163092 \tabularnewline
229 & 150580 & 127815.419968033 & 22764.5800319671 \tabularnewline
230 & 204713 & 165355.740381559 & 39357.2596184411 \tabularnewline
231 & 244749 & 231869.897593513 & 12879.1024064867 \tabularnewline
232 & 98146 & 75921.0667729094 & 22224.9332270906 \tabularnewline
233 & 351619 & 281867.882337379 & 69751.117662621 \tabularnewline
234 & 58981 & 69364.4383106953 & -10383.4383106953 \tabularnewline
235 & 233328 & 258935.754350664 & -25607.7543506642 \tabularnewline
236 & 182613 & 182917.05726539 & -304.057265390151 \tabularnewline
237 & 89113 & 86843.5626351347 & 2269.43736486529 \tabularnewline
238 & 324799 & 357748.002183815 & -32949.002183815 \tabularnewline
239 & 143246 & 210618.108461997 & -67372.108461997 \tabularnewline
240 & 40151 & 53512.9452507787 & -13361.9452507787 \tabularnewline
241 & 158399 & 86886.7556496922 & 71512.2443503078 \tabularnewline
242 & 195838 & 223935.789131923 & -28097.7891319227 \tabularnewline
243 & 286468 & 229570.800834107 & 56897.1991658929 \tabularnewline
244 & 175824 & 177183.210220231 & -1359.21022023058 \tabularnewline
245 & 143756 & 201696.727793751 & -57940.7277937506 \tabularnewline
246 & 139942 & 135791.014292576 & 4150.98570742379 \tabularnewline
247 & 104011 & 116011.652756316 & -12000.6527563157 \tabularnewline
248 & 196553 & 149048.231542083 & 47504.7684579171 \tabularnewline
249 & 180083 & 160912.295460665 & 19170.7045393355 \tabularnewline
250 & 260561 & 251437.198072506 & 9123.80192749353 \tabularnewline
251 & 294424 & 235272.07908667 & 59151.9209133296 \tabularnewline
252 & 99611 & 107743.013797626 & -8132.01379762648 \tabularnewline
253 & 131069 & 147579.085129846 & -16510.0851298462 \tabularnewline
254 & 65475 & 68232.7108297922 & -2757.71082979223 \tabularnewline
255 & 237213 & 207168.3162042 & 30044.6837958005 \tabularnewline
256 & 324598 & 278381.260264616 & 46216.7397353843 \tabularnewline
257 & 170266 & 162944.27970923 & 7321.72029077008 \tabularnewline
258 & 269651 & 209484.464677424 & 60166.5353225756 \tabularnewline
259 & 243060 & 174695.536822813 & 68364.4631771869 \tabularnewline
260 & 149112 & 155639.575372952 & -6527.57537295243 \tabularnewline
261 & 174415 & 212660.241478124 & -38245.2414781241 \tabularnewline
262 & 133131 & 139213.242287036 & -6082.24228703594 \tabularnewline
263 & 133328 & 132173.817865673 & 1154.18213432656 \tabularnewline
264 & 56653 & 101899.110179429 & -45246.1101794288 \tabularnewline
265 & 50857 & 62841.3159117183 & -11984.3159117183 \tabularnewline
266 & 74408 & 98867.0632099497 & -24459.0632099497 \tabularnewline
267 & 193339 & 212585.45150643 & -19246.4515064298 \tabularnewline
268 & 275541 & 228740.806299792 & 46800.1937002081 \tabularnewline
269 & 96560 & 124218.14024464 & -27658.1402446399 \tabularnewline
270 & 243199 & 207179.52820773 & 36019.4717922701 \tabularnewline
271 & 76702 & 107176.406165393 & -30474.4061653934 \tabularnewline
272 & 272458 & 230328.728468227 & 42129.2715317729 \tabularnewline
273 & 103425 & 98088.5062276008 & 5336.49377239923 \tabularnewline
274 & 271856 & 237176.297898677 & 34679.7021013226 \tabularnewline
275 & 139526 & 185732.604877609 & -46206.6048776094 \tabularnewline
276 & 172494 & 165409.821566963 & 7084.17843303698 \tabularnewline
277 & 120445 & 161150.208129003 & -40705.208129003 \tabularnewline
278 & 181528 & 108108.170279933 & 73419.8297200673 \tabularnewline
279 & 236785 & 224015.758733524 & 12769.2412664758 \tabularnewline
280 & 224330 & 274258.403850985 & -49928.4038509848 \tabularnewline
281 & 202925 & 238173.679177587 & -35248.6791775866 \tabularnewline
282 & 30837 & 29480.6031349363 & 1356.39686506368 \tabularnewline
283 & 329267 & 356052.27759667 & -26785.2775966703 \tabularnewline
284 & 125930 & 128191.959349521 & -2261.95934952113 \tabularnewline
285 & 204271 & 187386.937498414 & 16884.0625015855 \tabularnewline
286 & 51567 & 71964.9341005863 & -20397.9341005863 \tabularnewline
287 & 325107 & 226919.073236212 & 98187.9267637885 \tabularnewline
288 & 119016 & 202991.721725005 & -83975.721725005 \tabularnewline
289 & 265769 & 270509.038019428 & -4740.03801942795 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155389&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]14688[/C][C]10281.4921564545[/C][C]4406.50784354546[/C][/ROW]
[ROW][C]2[/C][C]46660[/C][C]31152.965105522[/C][C]15507.034894478[/C][/ROW]
[ROW][C]3[/C][C]7199[/C][C]8241.28713282436[/C][C]-1042.28713282436[/C][/ROW]
[ROW][C]4[/C][C]21054[/C][C]13481.8273836377[/C][C]7572.17261636233[/C][/ROW]
[ROW][C]5[/C][C]80953[/C][C]86878.4383831826[/C][C]-5925.43838318255[/C][/ROW]
[ROW][C]6[/C][C]19349[/C][C]19356.2424147475[/C][C]-7.24241474747972[/C][/ROW]
[ROW][C]7[/C][C]173260[/C][C]126276.257867378[/C][C]46983.7421326217[/C][/ROW]
[ROW][C]8[/C][C]38214[/C][C]52879.2375519702[/C][C]-14665.2375519702[/C][/ROW]
[ROW][C]9[/C][C]17547[/C][C]7168.8086383538[/C][C]10378.1913616462[/C][/ROW]
[ROW][C]10[/C][C]43287[/C][C]60663.4547288785[/C][C]-17376.4547288785[/C][/ROW]
[ROW][C]11[/C][C]78800[/C][C]89520.0528489857[/C][C]-10720.0528489857[/C][/ROW]
[ROW][C]12[/C][C]65029[/C][C]66249.3036998664[/C][C]-1220.30369986641[/C][/ROW]
[ROW][C]13[/C][C]31414[/C][C]41730.2024906642[/C][C]-10316.2024906642[/C][/ROW]
[ROW][C]14[/C][C]7176[/C][C]13958.4810581992[/C][C]-6782.48105819915[/C][/ROW]
[ROW][C]15[/C][C]24188[/C][C]31598.7939052566[/C][C]-7410.79390525662[/C][/ROW]
[ROW][C]16[/C][C]61857[/C][C]60590.0769927629[/C][C]1266.92300723714[/C][/ROW]
[ROW][C]17[/C][C]22938[/C][C]20302.5822546686[/C][C]2635.41774533139[/C][/ROW]
[ROW][C]18[/C][C]43410[/C][C]23571.6105766617[/C][C]19838.3894233383[/C][/ROW]
[ROW][C]19[/C][C]19764[/C][C]22633.274084161[/C][C]-2869.274084161[/C][/ROW]
[ROW][C]20[/C][C]53117[/C][C]42709.5586364389[/C][C]10407.4413635611[/C][/ROW]
[ROW][C]21[/C][C]33170[/C][C]35890.6102942444[/C][C]-2720.61029424436[/C][/ROW]
[ROW][C]22[/C][C]232138[/C][C]248062.77578192[/C][C]-15924.7757819204[/C][/ROW]
[ROW][C]23[/C][C]111665[/C][C]109986.581976977[/C][C]1678.4180230233[/C][/ROW]
[ROW][C]24[/C][C]152871[/C][C]156517.696533523[/C][C]-3646.69653352335[/C][/ROW]
[ROW][C]25[/C][C]100750[/C][C]206152.298049857[/C][C]-105402.298049857[/C][/ROW]
[ROW][C]26[/C][C]221698[/C][C]196715.204703588[/C][C]24982.7952964124[/C][/ROW]
[ROW][C]27[/C][C]209641[/C][C]141748.074318091[/C][C]67892.9256819086[/C][/ROW]
[ROW][C]28[/C][C]52746[/C][C]68119.9098286273[/C][C]-15373.9098286273[/C][/ROW]
[ROW][C]29[/C][C]215641[/C][C]155276.675974411[/C][C]60364.3240255887[/C][/ROW]
[ROW][C]30[/C][C]85439[/C][C]103995.132828311[/C][C]-18556.1328283109[/C][/ROW]
[ROW][C]31[/C][C]145790[/C][C]124468.930082595[/C][C]21321.0699174046[/C][/ROW]
[ROW][C]32[/C][C]132943[/C][C]192502.108899961[/C][C]-59559.1088999609[/C][/ROW]
[ROW][C]33[/C][C]132487[/C][C]151414.413528304[/C][C]-18927.4135283043[/C][/ROW]
[ROW][C]34[/C][C]135473[/C][C]161228.446359985[/C][C]-25755.446359985[/C][/ROW]
[ROW][C]35[/C][C]84853[/C][C]118300.836337724[/C][C]-33447.8363377237[/C][/ROW]
[ROW][C]36[/C][C]210767[/C][C]214557.442492022[/C][C]-3790.44249202235[/C][/ROW]
[ROW][C]37[/C][C]97839[/C][C]105457.157906114[/C][C]-7618.15790611436[/C][/ROW]
[ROW][C]38[/C][C]120221[/C][C]117784.553864095[/C][C]2436.44613590515[/C][/ROW]
[ROW][C]39[/C][C]224549[/C][C]163802.386126273[/C][C]60746.6138737272[/C][/ROW]
[ROW][C]40[/C][C]116408[/C][C]123806.00860554[/C][C]-7398.00860554034[/C][/ROW]
[ROW][C]41[/C][C]158015[/C][C]140487.555020852[/C][C]17527.4449791477[/C][/ROW]
[ROW][C]42[/C][C]150629[/C][C]179949.031023692[/C][C]-29320.0310236918[/C][/ROW]
[ROW][C]43[/C][C]123185[/C][C]113572.078813786[/C][C]9612.92118621375[/C][/ROW]
[ROW][C]44[/C][C]124817[/C][C]119170.293289382[/C][C]5646.70671061834[/C][/ROW]
[ROW][C]45[/C][C]104389[/C][C]253244.844055068[/C][C]-148855.844055068[/C][/ROW]
[ROW][C]46[/C][C]162765[/C][C]163179.042516173[/C][C]-414.04251617344[/C][/ROW]
[ROW][C]47[/C][C]149061[/C][C]143278.351629735[/C][C]5782.64837026468[/C][/ROW]
[ROW][C]48[/C][C]84207[/C][C]108088.608598711[/C][C]-23881.6085987105[/C][/ROW]
[ROW][C]49[/C][C]201940[/C][C]194764.702805146[/C][C]7175.29719485395[/C][/ROW]
[ROW][C]50[/C][C]168809[/C][C]182258.647157007[/C][C]-13449.6471570069[/C][/ROW]
[ROW][C]51[/C][C]176508[/C][C]164462.687017563[/C][C]12045.3129824371[/C][/ROW]
[ROW][C]52[/C][C]99466[/C][C]145017.949206941[/C][C]-45551.949206941[/C][/ROW]
[ROW][C]53[/C][C]106408[/C][C]81719.4893765055[/C][C]24688.5106234944[/C][/ROW]
[ROW][C]54[/C][C]344297[/C][C]194654.730815797[/C][C]149642.269184203[/C][/ROW]
[ROW][C]55[/C][C]218946[/C][C]165140.873465614[/C][C]53805.1265343856[/C][/ROW]
[ROW][C]56[/C][C]122774[/C][C]94293.2494600382[/C][C]28480.7505399618[/C][/ROW]
[ROW][C]57[/C][C]153935[/C][C]126140.26969157[/C][C]27794.7303084304[/C][/ROW]
[ROW][C]58[/C][C]206161[/C][C]185016.566289442[/C][C]21144.4337105582[/C][/ROW]
[ROW][C]59[/C][C]183167[/C][C]214325.313654361[/C][C]-31158.3136543609[/C][/ROW]
[ROW][C]60[/C][C]144966[/C][C]186647.783856506[/C][C]-41681.7838565064[/C][/ROW]
[ROW][C]61[/C][C]34662[/C][C]53459.5376542711[/C][C]-18797.5376542711[/C][/ROW]
[ROW][C]62[/C][C]116048[/C][C]129915.237338849[/C][C]-13867.237338849[/C][/ROW]
[ROW][C]63[/C][C]77945[/C][C]78544.7329745038[/C][C]-599.732974503816[/C][/ROW]
[ROW][C]64[/C][C]65490[/C][C]68905.3757029502[/C][C]-3415.3757029502[/C][/ROW]
[ROW][C]65[/C][C]81872[/C][C]98483.3305909507[/C][C]-16611.3305909507[/C][/ROW]
[ROW][C]66[/C][C]101011[/C][C]81063.5878984118[/C][C]19947.4121015882[/C][/ROW]
[ROW][C]67[/C][C]71965[/C][C]93707.4298262302[/C][C]-21742.4298262302[/C][/ROW]
[ROW][C]68[/C][C]72880[/C][C]74986.088813105[/C][C]-2106.088813105[/C][/ROW]
[ROW][C]69[/C][C]62792[/C][C]84926.971007678[/C][C]-22134.971007678[/C][/ROW]
[ROW][C]70[/C][C]31774[/C][C]43359.7688947106[/C][C]-11585.7688947106[/C][/ROW]
[ROW][C]71[/C][C]182192[/C][C]188222.374890707[/C][C]-6030.37489070658[/C][/ROW]
[ROW][C]72[/C][C]67989[/C][C]73643.6314554044[/C][C]-5654.63145540442[/C][/ROW]
[ROW][C]73[/C][C]52915[/C][C]61135.7277912721[/C][C]-8220.72779127209[/C][/ROW]
[ROW][C]74[/C][C]56375[/C][C]63222.6049356588[/C][C]-6847.60493565883[/C][/ROW]
[ROW][C]75[/C][C]30989[/C][C]39712.7865668259[/C][C]-8723.7865668259[/C][/ROW]
[ROW][C]76[/C][C]135131[/C][C]120476.366939676[/C][C]14654.6330603239[/C][/ROW]
[ROW][C]77[/C][C]76990[/C][C]95427.66218777[/C][C]-18437.66218777[/C][/ROW]
[ROW][C]78[/C][C]64175[/C][C]99864.0378377608[/C][C]-35689.0378377608[/C][/ROW]
[ROW][C]79[/C][C]59194[/C][C]73185.7742928318[/C][C]-13991.7742928318[/C][/ROW]
[ROW][C]80[/C][C]53515[/C][C]65321.992063434[/C][C]-11806.992063434[/C][/ROW]
[ROW][C]81[/C][C]89746[/C][C]86734.3081549205[/C][C]3011.69184507949[/C][/ROW]
[ROW][C]82[/C][C]49862[/C][C]77845.6891813975[/C][C]-27983.6891813975[/C][/ROW]
[ROW][C]83[/C][C]85574[/C][C]90054.1024398311[/C][C]-4480.10243983109[/C][/ROW]
[ROW][C]84[/C][C]220801[/C][C]144145.748468434[/C][C]76655.2515315656[/C][/ROW]
[ROW][C]85[/C][C]49289[/C][C]58704.0453637824[/C][C]-9415.04536378238[/C][/ROW]
[ROW][C]86[/C][C]135781[/C][C]93872.484934301[/C][C]41908.515065699[/C][/ROW]
[ROW][C]87[/C][C]82316[/C][C]73418.5114780111[/C][C]8897.48852198885[/C][/ROW]
[ROW][C]88[/C][C]133368[/C][C]96555.0029830193[/C][C]36812.9970169807[/C][/ROW]
[ROW][C]89[/C][C]92499[/C][C]80131.7427178001[/C][C]12367.2572822[/C][/ROW]
[ROW][C]90[/C][C]37460[/C][C]31937.7760588314[/C][C]5522.22394116861[/C][/ROW]
[ROW][C]91[/C][C]91735[/C][C]62926.3485629324[/C][C]28808.6514370676[/C][/ROW]
[ROW][C]92[/C][C]187681[/C][C]217283.690984337[/C][C]-29602.690984337[/C][/ROW]
[ROW][C]93[/C][C]79619[/C][C]94374.2572689407[/C][C]-14755.2572689407[/C][/ROW]
[ROW][C]94[/C][C]98104[/C][C]122814.615645984[/C][C]-24710.6156459837[/C][/ROW]
[ROW][C]95[/C][C]80949[/C][C]54457.7086769546[/C][C]26491.2913230454[/C][/ROW]
[ROW][C]96[/C][C]31706[/C][C]55883.8501014624[/C][C]-24177.8501014624[/C][/ROW]
[ROW][C]97[/C][C]70344[/C][C]74906.1694338128[/C][C]-4562.16943381285[/C][/ROW]
[ROW][C]98[/C][C]99923[/C][C]135950.044241954[/C][C]-36027.0442419538[/C][/ROW]
[ROW][C]99[/C][C]91899[/C][C]72458.435985645[/C][C]19440.564014355[/C][/ROW]
[ROW][C]100[/C][C]235454[/C][C]264843.321402697[/C][C]-29389.3214026969[/C][/ROW]
[ROW][C]101[/C][C]46455[/C][C]54189.1194036466[/C][C]-7734.11940364657[/C][/ROW]
[ROW][C]102[/C][C]60812[/C][C]84627.7106674466[/C][C]-23815.7106674466[/C][/ROW]
[ROW][C]103[/C][C]77648[/C][C]95063.0936302509[/C][C]-17415.0936302509[/C][/ROW]
[ROW][C]104[/C][C]101523[/C][C]139333.381754115[/C][C]-37810.3817541148[/C][/ROW]
[ROW][C]105[/C][C]254488[/C][C]253624.516259973[/C][C]863.483740026911[/C][/ROW]
[ROW][C]106[/C][C]103597[/C][C]88208.6753490249[/C][C]15388.3246509751[/C][/ROW]
[ROW][C]107[/C][C]136084[/C][C]75708.9423540618[/C][C]60375.0576459382[/C][/ROW]
[ROW][C]108[/C][C]62088[/C][C]66325.2202732451[/C][C]-4237.22027324505[/C][/ROW]
[ROW][C]109[/C][C]86680[/C][C]87093.9596810478[/C][C]-413.95968104782[/C][/ROW]
[ROW][C]110[/C][C]38395[/C][C]65648.7581001168[/C][C]-27253.7581001168[/C][/ROW]
[ROW][C]111[/C][C]179321[/C][C]238085.243409223[/C][C]-58764.2434092232[/C][/ROW]
[ROW][C]112[/C][C]40248[/C][C]28793.8565935629[/C][C]11454.1434064371[/C][/ROW]
[ROW][C]113[/C][C]70551[/C][C]76079.280011137[/C][C]-5528.280011137[/C][/ROW]
[ROW][C]114[/C][C]84105[/C][C]64987.656419697[/C][C]19117.343580303[/C][/ROW]
[ROW][C]115[/C][C]112611[/C][C]113347.441283406[/C][C]-736.441283406422[/C][/ROW]
[ROW][C]116[/C][C]73624[/C][C]73902.8853169676[/C][C]-278.88531696756[/C][/ROW]
[ROW][C]117[/C][C]89806[/C][C]86157.6603284735[/C][C]3648.33967152646[/C][/ROW]
[ROW][C]118[/C][C]98866[/C][C]63471.2772880279[/C][C]35394.7227119721[/C][/ROW]
[ROW][C]119[/C][C]61254[/C][C]90223.4330269511[/C][C]-28969.4330269511[/C][/ROW]
[ROW][C]120[/C][C]99643[/C][C]110199.595260184[/C][C]-10556.595260184[/C][/ROW]
[ROW][C]121[/C][C]310839[/C][C]268263.548101051[/C][C]42575.4518989488[/C][/ROW]
[ROW][C]122[/C][C]181633[/C][C]150430.239818349[/C][C]31202.760181651[/C][/ROW]
[ROW][C]123[/C][C]50090[/C][C]57306.1629905756[/C][C]-7216.16299057559[/C][/ROW]
[ROW][C]124[/C][C]92661[/C][C]114974.439847093[/C][C]-22313.4398470926[/C][/ROW]
[ROW][C]125[/C][C]46698[/C][C]68601.446086683[/C][C]-21903.446086683[/C][/ROW]
[ROW][C]126[/C][C]61361[/C][C]102707.426110015[/C][C]-41346.426110015[/C][/ROW]
[ROW][C]127[/C][C]84337[/C][C]81225.5345763764[/C][C]3111.4654236236[/C][/ROW]
[ROW][C]128[/C][C]72535[/C][C]53619.2530801664[/C][C]18915.7469198336[/C][/ROW]
[ROW][C]129[/C][C]84856[/C][C]82915.8264138736[/C][C]1940.1735861264[/C][/ROW]
[ROW][C]130[/C][C]124064[/C][C]113266.084168793[/C][C]10797.9158312065[/C][/ROW]
[ROW][C]131[/C][C]54157[/C][C]72811.9736567892[/C][C]-18654.9736567892[/C][/ROW]
[ROW][C]132[/C][C]76302[/C][C]89876.5227647298[/C][C]-13574.5227647298[/C][/ROW]
[ROW][C]133[/C][C]59382[/C][C]86601.2681213481[/C][C]-27219.2681213481[/C][/ROW]
[ROW][C]134[/C][C]65745[/C][C]99039.1851778027[/C][C]-33294.1851778027[/C][/ROW]
[ROW][C]135[/C][C]74914[/C][C]107751.9824608[/C][C]-32837.9824608[/C][/ROW]
[ROW][C]136[/C][C]101645[/C][C]89584.7128251262[/C][C]12060.2871748738[/C][/ROW]
[ROW][C]137[/C][C]73504[/C][C]64751.5888616968[/C][C]8752.41113830316[/C][/ROW]
[ROW][C]138[/C][C]99373[/C][C]94795.0694927362[/C][C]4577.93050726383[/C][/ROW]
[ROW][C]139[/C][C]135458[/C][C]123100.811262339[/C][C]12357.1887376611[/C][/ROW]
[ROW][C]140[/C][C]184510[/C][C]184527.292005219[/C][C]-17.2920052187292[/C][/ROW]
[ROW][C]141[/C][C]385534[/C][C]251151.941319838[/C][C]134382.058680162[/C][/ROW]
[ROW][C]142[/C][C]108043[/C][C]117868.999062662[/C][C]-9825.99906266157[/C][/ROW]
[ROW][C]143[/C][C]328107[/C][C]257013.334745423[/C][C]71093.6652545769[/C][/ROW]
[ROW][C]144[/C][C]362301[/C][C]234584.785594805[/C][C]127716.214405195[/C][/ROW]
[ROW][C]145[/C][C]130585[/C][C]167040.196619611[/C][C]-36455.1966196107[/C][/ROW]
[ROW][C]146[/C][C]85709[/C][C]79688.6575525198[/C][C]6020.34244748016[/C][/ROW]
[ROW][C]147[/C][C]174184[/C][C]155258.668326532[/C][C]18925.3316734682[/C][/ROW]
[ROW][C]148[/C][C]81437[/C][C]91563.6992150758[/C][C]-10126.6992150758[/C][/ROW]
[ROW][C]149[/C][C]120982[/C][C]161990.327951017[/C][C]-41008.3279510165[/C][/ROW]
[ROW][C]150[/C][C]187559[/C][C]230993.47004334[/C][C]-43434.47004334[/C][/ROW]
[ROW][C]151[/C][C]235800[/C][C]236685.02646044[/C][C]-885.026460440222[/C][/ROW]
[ROW][C]152[/C][C]220516[/C][C]202577.529432299[/C][C]17938.4705677012[/C][/ROW]
[ROW][C]153[/C][C]210907[/C][C]186960.286764245[/C][C]23946.7132357555[/C][/ROW]
[ROW][C]154[/C][C]155754[/C][C]146771.622093155[/C][C]8982.3779068446[/C][/ROW]
[ROW][C]155[/C][C]152299[/C][C]158912.084350944[/C][C]-6613.08435094424[/C][/ROW]
[ROW][C]156[/C][C]79863[/C][C]89952.0810848564[/C][C]-10089.0810848564[/C][/ROW]
[ROW][C]157[/C][C]346485[/C][C]255507.062258045[/C][C]90977.9377419554[/C][/ROW]
[ROW][C]158[/C][C]135649[/C][C]189234.571405145[/C][C]-53585.5714051445[/C][/ROW]
[ROW][C]159[/C][C]134019[/C][C]103929.56752327[/C][C]30089.4324767302[/C][/ROW]
[ROW][C]160[/C][C]167488[/C][C]155642.172303668[/C][C]11845.827696332[/C][/ROW]
[ROW][C]161[/C][C]108446[/C][C]106532.764388082[/C][C]1913.23561191799[/C][/ROW]
[ROW][C]162[/C][C]27634[/C][C]35073.2578861494[/C][C]-7439.25788614944[/C][/ROW]
[ROW][C]163[/C][C]232317[/C][C]230632.87216615[/C][C]1684.12783384976[/C][/ROW]
[ROW][C]164[/C][C]22648[/C][C]54469.1145160333[/C][C]-31821.1145160333[/C][/ROW]
[ROW][C]165[/C][C]119308[/C][C]85449.0256398375[/C][C]33858.9743601625[/C][/ROW]
[ROW][C]166[/C][C]194979[/C][C]189860.353611961[/C][C]5118.6463880394[/C][/ROW]
[ROW][C]167[/C][C]81240[/C][C]140296.054294065[/C][C]-59056.0542940646[/C][/ROW]
[ROW][C]168[/C][C]121848[/C][C]97471.5935761467[/C][C]24376.4064238533[/C][/ROW]
[ROW][C]169[/C][C]86678[/C][C]73141.6112954253[/C][C]13536.3887045747[/C][/ROW]
[ROW][C]170[/C][C]73566[/C][C]83339.7403793899[/C][C]-9773.74037938992[/C][/ROW]
[ROW][C]171[/C][C]102010[/C][C]98861.3685380604[/C][C]3148.63146193955[/C][/ROW]
[ROW][C]172[/C][C]151101[/C][C]143455.371570839[/C][C]7645.62842916067[/C][/ROW]
[ROW][C]173[/C][C]207176[/C][C]176060.022931442[/C][C]31115.9770685577[/C][/ROW]
[ROW][C]174[/C][C]165543[/C][C]170282.437177872[/C][C]-4739.43717787164[/C][/ROW]
[ROW][C]175[/C][C]182999[/C][C]238139.573421112[/C][C]-55140.5734211118[/C][/ROW]
[ROW][C]176[/C][C]256462[/C][C]272963.453621125[/C][C]-16501.4536211255[/C][/ROW]
[ROW][C]177[/C][C]244052[/C][C]249469.480053046[/C][C]-5417.48005304561[/C][/ROW]
[ROW][C]178[/C][C]63123[/C][C]101862.116254087[/C][C]-38739.1162540867[/C][/ROW]
[ROW][C]179[/C][C]87186[/C][C]103521.057308631[/C][C]-16335.0573086309[/C][/ROW]
[ROW][C]180[/C][C]182079[/C][C]239349.799079412[/C][C]-57270.7990794118[/C][/ROW]
[ROW][C]181[/C][C]95227[/C][C]101423.990908831[/C][C]-6196.99090883076[/C][/ROW]
[ROW][C]182[/C][C]165446[/C][C]135543.158253194[/C][C]29902.8417468057[/C][/ROW]
[ROW][C]183[/C][C]229242[/C][C]316726.951313412[/C][C]-87484.9513134124[/C][/ROW]
[ROW][C]184[/C][C]167542[/C][C]154526.309856358[/C][C]13015.6901436421[/C][/ROW]
[ROW][C]185[/C][C]225060[/C][C]244318.386843854[/C][C]-19258.3868438541[/C][/ROW]
[ROW][C]186[/C][C]164709[/C][C]214771.26763257[/C][C]-50062.2676325696[/C][/ROW]
[ROW][C]187[/C][C]131698[/C][C]149749.084703013[/C][C]-18051.084703013[/C][/ROW]
[ROW][C]188[/C][C]56613[/C][C]49551.068159477[/C][C]7061.93184052299[/C][/ROW]
[ROW][C]189[/C][C]250579[/C][C]263091.589281112[/C][C]-12512.5892811118[/C][/ROW]
[ROW][C]190[/C][C]44296[/C][C]56949.5214410699[/C][C]-12653.5214410699[/C][/ROW]
[ROW][C]191[/C][C]152474[/C][C]205287.715451879[/C][C]-52813.715451879[/C][/ROW]
[ROW][C]192[/C][C]86230[/C][C]83928.76802677[/C][C]2301.23197323[/C][/ROW]
[ROW][C]193[/C][C]258873[/C][C]218160.303384419[/C][C]40712.6966155812[/C][/ROW]
[ROW][C]194[/C][C]41566[/C][C]45337.1346233643[/C][C]-3771.13462336434[/C][/ROW]
[ROW][C]195[/C][C]250047[/C][C]148482.192964166[/C][C]101564.807035834[/C][/ROW]
[ROW][C]196[/C][C]243511[/C][C]255823.853163347[/C][C]-12312.853163347[/C][/ROW]
[ROW][C]197[/C][C]62215[/C][C]63100.9377102308[/C][C]-885.937710230838[/C][/ROW]
[ROW][C]198[/C][C]104838[/C][C]112434.975594588[/C][C]-7596.97559458809[/C][/ROW]
[ROW][C]199[/C][C]77272[/C][C]95260.9225748404[/C][C]-17988.9225748404[/C][/ROW]
[ROW][C]200[/C][C]148446[/C][C]281325.454972072[/C][C]-132879.454972072[/C][/ROW]
[ROW][C]201[/C][C]69304[/C][C]89503.357898239[/C][C]-20199.357898239[/C][/ROW]
[ROW][C]202[/C][C]102538[/C][C]123900.873614648[/C][C]-21362.873614648[/C][/ROW]
[ROW][C]203[/C][C]101097[/C][C]105531.77982357[/C][C]-4434.77982357046[/C][/ROW]
[ROW][C]204[/C][C]223632[/C][C]222236.307112487[/C][C]1395.69288751253[/C][/ROW]
[ROW][C]205[/C][C]141722[/C][C]133934.187773117[/C][C]7787.81222688278[/C][/ROW]
[ROW][C]206[/C][C]351067[/C][C]318948.142631696[/C][C]32118.8573683036[/C][/ROW]
[ROW][C]207[/C][C]311473[/C][C]292331.789003637[/C][C]19141.2109963634[/C][/ROW]
[ROW][C]208[/C][C]152601[/C][C]125138.097395518[/C][C]27462.9026044816[/C][/ROW]
[ROW][C]209[/C][C]215147[/C][C]214627.79460621[/C][C]519.205393789708[/C][/ROW]
[ROW][C]210[/C][C]52164[/C][C]96255.4597520925[/C][C]-44091.4597520925[/C][/ROW]
[ROW][C]211[/C][C]91005[/C][C]72328.9883939356[/C][C]18676.0116060644[/C][/ROW]
[ROW][C]212[/C][C]265318[/C][C]300253.418890567[/C][C]-34935.418890567[/C][/ROW]
[ROW][C]213[/C][C]299775[/C][C]225204.201533525[/C][C]74570.798466475[/C][/ROW]
[ROW][C]214[/C][C]241066[/C][C]198940.295843027[/C][C]42125.7041569726[/C][/ROW]
[ROW][C]215[/C][C]118612[/C][C]113425.937994562[/C][C]5186.06200543788[/C][/ROW]
[ROW][C]216[/C][C]173326[/C][C]228519.511111708[/C][C]-55193.5111117075[/C][/ROW]
[ROW][C]217[/C][C]225548[/C][C]224472.733410515[/C][C]1075.26658948514[/C][/ROW]
[ROW][C]218[/C][C]277965[/C][C]266391.839881065[/C][C]11573.1601189351[/C][/ROW]
[ROW][C]219[/C][C]317394[/C][C]235882.015459671[/C][C]81511.9845403289[/C][/ROW]
[ROW][C]220[/C][C]177939[/C][C]165510.362455087[/C][C]12428.6375449128[/C][/ROW]
[ROW][C]221[/C][C]92630[/C][C]74051.1349065792[/C][C]18578.8650934208[/C][/ROW]
[ROW][C]222[/C][C]140344[/C][C]119027.224125837[/C][C]21316.7758741627[/C][/ROW]
[ROW][C]223[/C][C]230964[/C][C]216846.837129233[/C][C]14117.1628707668[/C][/ROW]
[ROW][C]224[/C][C]199476[/C][C]214455.333558711[/C][C]-14979.3335587114[/C][/ROW]
[ROW][C]225[/C][C]174724[/C][C]252749.394114151[/C][C]-78025.3941141507[/C][/ROW]
[ROW][C]226[/C][C]128423[/C][C]155378.354115214[/C][C]-26955.3541152135[/C][/ROW]
[ROW][C]227[/C][C]341570[/C][C]276947.41372818[/C][C]64622.5862718198[/C][/ROW]
[ROW][C]228[/C][C]64187[/C][C]60897.5465483691[/C][C]3289.45345163092[/C][/ROW]
[ROW][C]229[/C][C]150580[/C][C]127815.419968033[/C][C]22764.5800319671[/C][/ROW]
[ROW][C]230[/C][C]204713[/C][C]165355.740381559[/C][C]39357.2596184411[/C][/ROW]
[ROW][C]231[/C][C]244749[/C][C]231869.897593513[/C][C]12879.1024064867[/C][/ROW]
[ROW][C]232[/C][C]98146[/C][C]75921.0667729094[/C][C]22224.9332270906[/C][/ROW]
[ROW][C]233[/C][C]351619[/C][C]281867.882337379[/C][C]69751.117662621[/C][/ROW]
[ROW][C]234[/C][C]58981[/C][C]69364.4383106953[/C][C]-10383.4383106953[/C][/ROW]
[ROW][C]235[/C][C]233328[/C][C]258935.754350664[/C][C]-25607.7543506642[/C][/ROW]
[ROW][C]236[/C][C]182613[/C][C]182917.05726539[/C][C]-304.057265390151[/C][/ROW]
[ROW][C]237[/C][C]89113[/C][C]86843.5626351347[/C][C]2269.43736486529[/C][/ROW]
[ROW][C]238[/C][C]324799[/C][C]357748.002183815[/C][C]-32949.002183815[/C][/ROW]
[ROW][C]239[/C][C]143246[/C][C]210618.108461997[/C][C]-67372.108461997[/C][/ROW]
[ROW][C]240[/C][C]40151[/C][C]53512.9452507787[/C][C]-13361.9452507787[/C][/ROW]
[ROW][C]241[/C][C]158399[/C][C]86886.7556496922[/C][C]71512.2443503078[/C][/ROW]
[ROW][C]242[/C][C]195838[/C][C]223935.789131923[/C][C]-28097.7891319227[/C][/ROW]
[ROW][C]243[/C][C]286468[/C][C]229570.800834107[/C][C]56897.1991658929[/C][/ROW]
[ROW][C]244[/C][C]175824[/C][C]177183.210220231[/C][C]-1359.21022023058[/C][/ROW]
[ROW][C]245[/C][C]143756[/C][C]201696.727793751[/C][C]-57940.7277937506[/C][/ROW]
[ROW][C]246[/C][C]139942[/C][C]135791.014292576[/C][C]4150.98570742379[/C][/ROW]
[ROW][C]247[/C][C]104011[/C][C]116011.652756316[/C][C]-12000.6527563157[/C][/ROW]
[ROW][C]248[/C][C]196553[/C][C]149048.231542083[/C][C]47504.7684579171[/C][/ROW]
[ROW][C]249[/C][C]180083[/C][C]160912.295460665[/C][C]19170.7045393355[/C][/ROW]
[ROW][C]250[/C][C]260561[/C][C]251437.198072506[/C][C]9123.80192749353[/C][/ROW]
[ROW][C]251[/C][C]294424[/C][C]235272.07908667[/C][C]59151.9209133296[/C][/ROW]
[ROW][C]252[/C][C]99611[/C][C]107743.013797626[/C][C]-8132.01379762648[/C][/ROW]
[ROW][C]253[/C][C]131069[/C][C]147579.085129846[/C][C]-16510.0851298462[/C][/ROW]
[ROW][C]254[/C][C]65475[/C][C]68232.7108297922[/C][C]-2757.71082979223[/C][/ROW]
[ROW][C]255[/C][C]237213[/C][C]207168.3162042[/C][C]30044.6837958005[/C][/ROW]
[ROW][C]256[/C][C]324598[/C][C]278381.260264616[/C][C]46216.7397353843[/C][/ROW]
[ROW][C]257[/C][C]170266[/C][C]162944.27970923[/C][C]7321.72029077008[/C][/ROW]
[ROW][C]258[/C][C]269651[/C][C]209484.464677424[/C][C]60166.5353225756[/C][/ROW]
[ROW][C]259[/C][C]243060[/C][C]174695.536822813[/C][C]68364.4631771869[/C][/ROW]
[ROW][C]260[/C][C]149112[/C][C]155639.575372952[/C][C]-6527.57537295243[/C][/ROW]
[ROW][C]261[/C][C]174415[/C][C]212660.241478124[/C][C]-38245.2414781241[/C][/ROW]
[ROW][C]262[/C][C]133131[/C][C]139213.242287036[/C][C]-6082.24228703594[/C][/ROW]
[ROW][C]263[/C][C]133328[/C][C]132173.817865673[/C][C]1154.18213432656[/C][/ROW]
[ROW][C]264[/C][C]56653[/C][C]101899.110179429[/C][C]-45246.1101794288[/C][/ROW]
[ROW][C]265[/C][C]50857[/C][C]62841.3159117183[/C][C]-11984.3159117183[/C][/ROW]
[ROW][C]266[/C][C]74408[/C][C]98867.0632099497[/C][C]-24459.0632099497[/C][/ROW]
[ROW][C]267[/C][C]193339[/C][C]212585.45150643[/C][C]-19246.4515064298[/C][/ROW]
[ROW][C]268[/C][C]275541[/C][C]228740.806299792[/C][C]46800.1937002081[/C][/ROW]
[ROW][C]269[/C][C]96560[/C][C]124218.14024464[/C][C]-27658.1402446399[/C][/ROW]
[ROW][C]270[/C][C]243199[/C][C]207179.52820773[/C][C]36019.4717922701[/C][/ROW]
[ROW][C]271[/C][C]76702[/C][C]107176.406165393[/C][C]-30474.4061653934[/C][/ROW]
[ROW][C]272[/C][C]272458[/C][C]230328.728468227[/C][C]42129.2715317729[/C][/ROW]
[ROW][C]273[/C][C]103425[/C][C]98088.5062276008[/C][C]5336.49377239923[/C][/ROW]
[ROW][C]274[/C][C]271856[/C][C]237176.297898677[/C][C]34679.7021013226[/C][/ROW]
[ROW][C]275[/C][C]139526[/C][C]185732.604877609[/C][C]-46206.6048776094[/C][/ROW]
[ROW][C]276[/C][C]172494[/C][C]165409.821566963[/C][C]7084.17843303698[/C][/ROW]
[ROW][C]277[/C][C]120445[/C][C]161150.208129003[/C][C]-40705.208129003[/C][/ROW]
[ROW][C]278[/C][C]181528[/C][C]108108.170279933[/C][C]73419.8297200673[/C][/ROW]
[ROW][C]279[/C][C]236785[/C][C]224015.758733524[/C][C]12769.2412664758[/C][/ROW]
[ROW][C]280[/C][C]224330[/C][C]274258.403850985[/C][C]-49928.4038509848[/C][/ROW]
[ROW][C]281[/C][C]202925[/C][C]238173.679177587[/C][C]-35248.6791775866[/C][/ROW]
[ROW][C]282[/C][C]30837[/C][C]29480.6031349363[/C][C]1356.39686506368[/C][/ROW]
[ROW][C]283[/C][C]329267[/C][C]356052.27759667[/C][C]-26785.2775966703[/C][/ROW]
[ROW][C]284[/C][C]125930[/C][C]128191.959349521[/C][C]-2261.95934952113[/C][/ROW]
[ROW][C]285[/C][C]204271[/C][C]187386.937498414[/C][C]16884.0625015855[/C][/ROW]
[ROW][C]286[/C][C]51567[/C][C]71964.9341005863[/C][C]-20397.9341005863[/C][/ROW]
[ROW][C]287[/C][C]325107[/C][C]226919.073236212[/C][C]98187.9267637885[/C][/ROW]
[ROW][C]288[/C][C]119016[/C][C]202991.721725005[/C][C]-83975.721725005[/C][/ROW]
[ROW][C]289[/C][C]265769[/C][C]270509.038019428[/C][C]-4740.03801942795[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155389&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155389&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
11468810281.49215645454406.50784354546
24666031152.96510552215507.034894478
371998241.28713282436-1042.28713282436
42105413481.82738363777572.17261636233
58095386878.4383831826-5925.43838318255
61934919356.2424147475-7.24241474747972
7173260126276.25786737846983.7421326217
83821452879.2375519702-14665.2375519702
9175477168.808638353810378.1913616462
104328760663.4547288785-17376.4547288785
117880089520.0528489857-10720.0528489857
126502966249.3036998664-1220.30369986641
133141441730.2024906642-10316.2024906642
14717613958.4810581992-6782.48105819915
152418831598.7939052566-7410.79390525662
166185760590.07699276291266.92300723714
172293820302.58225466862635.41774533139
184341023571.610576661719838.3894233383
191976422633.274084161-2869.274084161
205311742709.558636438910407.4413635611
213317035890.6102942444-2720.61029424436
22232138248062.77578192-15924.7757819204
23111665109986.5819769771678.4180230233
24152871156517.696533523-3646.69653352335
25100750206152.298049857-105402.298049857
26221698196715.20470358824982.7952964124
27209641141748.07431809167892.9256819086
285274668119.9098286273-15373.9098286273
29215641155276.67597441160364.3240255887
3085439103995.132828311-18556.1328283109
31145790124468.93008259521321.0699174046
32132943192502.108899961-59559.1088999609
33132487151414.413528304-18927.4135283043
34135473161228.446359985-25755.446359985
3584853118300.836337724-33447.8363377237
36210767214557.442492022-3790.44249202235
3797839105457.157906114-7618.15790611436
38120221117784.5538640952436.44613590515
39224549163802.38612627360746.6138737272
40116408123806.00860554-7398.00860554034
41158015140487.55502085217527.4449791477
42150629179949.031023692-29320.0310236918
43123185113572.0788137869612.92118621375
44124817119170.2932893825646.70671061834
45104389253244.844055068-148855.844055068
46162765163179.042516173-414.04251617344
47149061143278.3516297355782.64837026468
4884207108088.608598711-23881.6085987105
49201940194764.7028051467175.29719485395
50168809182258.647157007-13449.6471570069
51176508164462.68701756312045.3129824371
5299466145017.949206941-45551.949206941
5310640881719.489376505524688.5106234944
54344297194654.730815797149642.269184203
55218946165140.87346561453805.1265343856
5612277494293.249460038228480.7505399618
57153935126140.2696915727794.7303084304
58206161185016.56628944221144.4337105582
59183167214325.313654361-31158.3136543609
60144966186647.783856506-41681.7838565064
613466253459.5376542711-18797.5376542711
62116048129915.237338849-13867.237338849
637794578544.7329745038-599.732974503816
646549068905.3757029502-3415.3757029502
658187298483.3305909507-16611.3305909507
6610101181063.587898411819947.4121015882
677196593707.4298262302-21742.4298262302
687288074986.088813105-2106.088813105
696279284926.971007678-22134.971007678
703177443359.7688947106-11585.7688947106
71182192188222.374890707-6030.37489070658
726798973643.6314554044-5654.63145540442
735291561135.7277912721-8220.72779127209
745637563222.6049356588-6847.60493565883
753098939712.7865668259-8723.7865668259
76135131120476.36693967614654.6330603239
777699095427.66218777-18437.66218777
786417599864.0378377608-35689.0378377608
795919473185.7742928318-13991.7742928318
805351565321.992063434-11806.992063434
818974686734.30815492053011.69184507949
824986277845.6891813975-27983.6891813975
838557490054.1024398311-4480.10243983109
84220801144145.74846843476655.2515315656
854928958704.0453637824-9415.04536378238
8613578193872.48493430141908.515065699
878231673418.51147801118897.48852198885
8813336896555.002983019336812.9970169807
899249980131.742717800112367.2572822
903746031937.77605883145522.22394116861
919173562926.348562932428808.6514370676
92187681217283.690984337-29602.690984337
937961994374.2572689407-14755.2572689407
9498104122814.615645984-24710.6156459837
958094954457.708676954626491.2913230454
963170655883.8501014624-24177.8501014624
977034474906.1694338128-4562.16943381285
9899923135950.044241954-36027.0442419538
999189972458.43598564519440.564014355
100235454264843.321402697-29389.3214026969
1014645554189.1194036466-7734.11940364657
1026081284627.7106674466-23815.7106674466
1037764895063.0936302509-17415.0936302509
104101523139333.381754115-37810.3817541148
105254488253624.516259973863.483740026911
10610359788208.675349024915388.3246509751
10713608475708.942354061860375.0576459382
1086208866325.2202732451-4237.22027324505
1098668087093.9596810478-413.95968104782
1103839565648.7581001168-27253.7581001168
111179321238085.243409223-58764.2434092232
1124024828793.856593562911454.1434064371
1137055176079.280011137-5528.280011137
1148410564987.65641969719117.343580303
115112611113347.441283406-736.441283406422
1167362473902.8853169676-278.88531696756
1178980686157.66032847353648.33967152646
1189886663471.277288027935394.7227119721
1196125490223.4330269511-28969.4330269511
12099643110199.595260184-10556.595260184
121310839268263.54810105142575.4518989488
122181633150430.23981834931202.760181651
1235009057306.1629905756-7216.16299057559
12492661114974.439847093-22313.4398470926
1254669868601.446086683-21903.446086683
12661361102707.426110015-41346.426110015
1278433781225.53457637643111.4654236236
1287253553619.253080166418915.7469198336
1298485682915.82641387361940.1735861264
130124064113266.08416879310797.9158312065
1315415772811.9736567892-18654.9736567892
1327630289876.5227647298-13574.5227647298
1335938286601.2681213481-27219.2681213481
1346574599039.1851778027-33294.1851778027
13574914107751.9824608-32837.9824608
13610164589584.712825126212060.2871748738
1377350464751.58886169688752.41113830316
1389937394795.06949273624577.93050726383
139135458123100.81126233912357.1887376611
140184510184527.292005219-17.2920052187292
141385534251151.941319838134382.058680162
142108043117868.999062662-9825.99906266157
143328107257013.33474542371093.6652545769
144362301234584.785594805127716.214405195
145130585167040.196619611-36455.1966196107
1468570979688.65755251986020.34244748016
147174184155258.66832653218925.3316734682
1488143791563.6992150758-10126.6992150758
149120982161990.327951017-41008.3279510165
150187559230993.47004334-43434.47004334
151235800236685.02646044-885.026460440222
152220516202577.52943229917938.4705677012
153210907186960.28676424523946.7132357555
154155754146771.6220931558982.3779068446
155152299158912.084350944-6613.08435094424
1567986389952.0810848564-10089.0810848564
157346485255507.06225804590977.9377419554
158135649189234.571405145-53585.5714051445
159134019103929.5675232730089.4324767302
160167488155642.17230366811845.827696332
161108446106532.7643880821913.23561191799
1622763435073.2578861494-7439.25788614944
163232317230632.872166151684.12783384976
1642264854469.1145160333-31821.1145160333
16511930885449.025639837533858.9743601625
166194979189860.3536119615118.6463880394
16781240140296.054294065-59056.0542940646
16812184897471.593576146724376.4064238533
1698667873141.611295425313536.3887045747
1707356683339.7403793899-9773.74037938992
17110201098861.36853806043148.63146193955
172151101143455.3715708397645.62842916067
173207176176060.02293144231115.9770685577
174165543170282.437177872-4739.43717787164
175182999238139.573421112-55140.5734211118
176256462272963.453621125-16501.4536211255
177244052249469.480053046-5417.48005304561
17863123101862.116254087-38739.1162540867
17987186103521.057308631-16335.0573086309
180182079239349.799079412-57270.7990794118
18195227101423.990908831-6196.99090883076
182165446135543.15825319429902.8417468057
183229242316726.951313412-87484.9513134124
184167542154526.30985635813015.6901436421
185225060244318.386843854-19258.3868438541
186164709214771.26763257-50062.2676325696
187131698149749.084703013-18051.084703013
1885661349551.0681594777061.93184052299
189250579263091.589281112-12512.5892811118
1904429656949.5214410699-12653.5214410699
191152474205287.715451879-52813.715451879
1928623083928.768026772301.23197323
193258873218160.30338441940712.6966155812
1944156645337.1346233643-3771.13462336434
195250047148482.192964166101564.807035834
196243511255823.853163347-12312.853163347
1976221563100.9377102308-885.937710230838
198104838112434.975594588-7596.97559458809
1997727295260.9225748404-17988.9225748404
200148446281325.454972072-132879.454972072
2016930489503.357898239-20199.357898239
202102538123900.873614648-21362.873614648
203101097105531.77982357-4434.77982357046
204223632222236.3071124871395.69288751253
205141722133934.1877731177787.81222688278
206351067318948.14263169632118.8573683036
207311473292331.78900363719141.2109963634
208152601125138.09739551827462.9026044816
209215147214627.79460621519.205393789708
2105216496255.4597520925-44091.4597520925
2119100572328.988393935618676.0116060644
212265318300253.418890567-34935.418890567
213299775225204.20153352574570.798466475
214241066198940.29584302742125.7041569726
215118612113425.9379945625186.06200543788
216173326228519.511111708-55193.5111117075
217225548224472.7334105151075.26658948514
218277965266391.83988106511573.1601189351
219317394235882.01545967181511.9845403289
220177939165510.36245508712428.6375449128
2219263074051.134906579218578.8650934208
222140344119027.22412583721316.7758741627
223230964216846.83712923314117.1628707668
224199476214455.333558711-14979.3335587114
225174724252749.394114151-78025.3941141507
226128423155378.354115214-26955.3541152135
227341570276947.4137281864622.5862718198
2286418760897.54654836913289.45345163092
229150580127815.41996803322764.5800319671
230204713165355.74038155939357.2596184411
231244749231869.89759351312879.1024064867
2329814675921.066772909422224.9332270906
233351619281867.88233737969751.117662621
2345898169364.4383106953-10383.4383106953
235233328258935.754350664-25607.7543506642
236182613182917.05726539-304.057265390151
2378911386843.56263513472269.43736486529
238324799357748.002183815-32949.002183815
239143246210618.108461997-67372.108461997
2404015153512.9452507787-13361.9452507787
24115839986886.755649692271512.2443503078
242195838223935.789131923-28097.7891319227
243286468229570.80083410756897.1991658929
244175824177183.210220231-1359.21022023058
245143756201696.727793751-57940.7277937506
246139942135791.0142925764150.98570742379
247104011116011.652756316-12000.6527563157
248196553149048.23154208347504.7684579171
249180083160912.29546066519170.7045393355
250260561251437.1980725069123.80192749353
251294424235272.0790866759151.9209133296
25299611107743.013797626-8132.01379762648
253131069147579.085129846-16510.0851298462
2546547568232.7108297922-2757.71082979223
255237213207168.316204230044.6837958005
256324598278381.26026461646216.7397353843
257170266162944.279709237321.72029077008
258269651209484.46467742460166.5353225756
259243060174695.53682281368364.4631771869
260149112155639.575372952-6527.57537295243
261174415212660.241478124-38245.2414781241
262133131139213.242287036-6082.24228703594
263133328132173.8178656731154.18213432656
26456653101899.110179429-45246.1101794288
2655085762841.3159117183-11984.3159117183
2667440898867.0632099497-24459.0632099497
267193339212585.45150643-19246.4515064298
268275541228740.80629979246800.1937002081
26996560124218.14024464-27658.1402446399
270243199207179.5282077336019.4717922701
27176702107176.406165393-30474.4061653934
272272458230328.72846822742129.2715317729
27310342598088.50622760085336.49377239923
274271856237176.29789867734679.7021013226
275139526185732.604877609-46206.6048776094
276172494165409.8215669637084.17843303698
277120445161150.208129003-40705.208129003
278181528108108.17027993373419.8297200673
279236785224015.75873352412769.2412664758
280224330274258.403850985-49928.4038509848
281202925238173.679177587-35248.6791775866
2823083729480.60313493631356.39686506368
283329267356052.27759667-26785.2775966703
284125930128191.959349521-2261.95934952113
285204271187386.93749841416884.0625015855
2865156771964.9341005863-20397.9341005863
287325107226919.07323621298187.9267637885
288119016202991.721725005-83975.721725005
289265769270509.038019428-4740.03801942795






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.04956197922342930.09912395844685850.950438020776571
110.03893820075249840.07787640150499680.961061799247502
120.01295183250760040.02590366501520070.9870481674924
130.006105381867663640.01221076373532730.993894618132336
140.00216560010228820.004331200204576390.997834399897712
150.0006602801023354340.001320560204670870.999339719897665
160.0002125396693808290.0004250793387616580.999787460330619
175.80325830651761e-050.0001160651661303520.999941967416935
184.17054512386963e-058.34109024773925e-050.999958294548761
191.18111219580198e-052.36222439160395e-050.999988188878042
202.32278860279544e-054.64557720559088e-050.999976772113972
213.47400600703473e-056.94801201406947e-050.99996525993993
221.1549806646735e-052.30996132934701e-050.999988450193353
234.06019198687376e-068.12038397374751e-060.999995939808013
242.00236663544683e-064.00473327089366e-060.999997997633364
250.000867755905588330.001735511811176660.999132244094412
260.0006175716640970790.001235143328194160.999382428335903
270.06949220197468140.1389844039493630.930507798025319
280.05162843252826090.1032568650565220.948371567471739
290.05113938236760740.1022787647352150.948860617632393
300.04226143141060440.08452286282120880.957738568589396
310.03221429389626320.06442858779252630.967785706103737
320.05153834679268410.1030766935853680.948461653207316
330.08468821433716750.1693764286743350.915311785662833
340.06648044102347840.1329608820469570.933519558976522
350.05260663152125320.1052132630425060.947393368478747
360.04359161285586920.08718322571173850.956408387144131
370.03692599920016810.07385199840033620.963074000799832
380.02673374833317580.05346749666635170.973266251666824
390.1222281161206610.2444562322413230.877771883879338
400.09869338706821320.1973867741364260.901306612931787
410.08594526577299720.1718905315459940.914054734227003
420.07689406067424290.1537881213484860.923105939325757
430.06103889272462540.1220777854492510.938961107275375
440.04661708681127360.09323417362254710.953382913188726
450.3490404442181520.6980808884363050.650959555781848
460.3559502774462050.7119005548924110.644049722553795
470.324119001974230.648238003948460.67588099802577
480.2874152688589250.574830537717850.712584731141075
490.2945718168175120.5891436336350240.705428183182488
500.2587209475715050.517441895143010.741279052428495
510.2322834001930870.4645668003861730.767716599806913
520.2201141588968380.4402283177936750.779885841103162
530.2046041075852150.4092082151704310.795395892414785
540.7172260494965420.5655479010069170.282773950503458
550.7713981760847050.457203647830590.228601823915295
560.7422543269782410.5154913460435180.257745673021759
570.7275760397386190.5448479205227630.272423960261381
580.6960374814076110.6079250371847780.303962518592389
590.7096229170253130.5807541659493730.290377082974687
600.8508480077006780.2983039845986450.149151992299322
610.8358809495058780.3282381009882430.164119050494122
620.8185348417871820.3629303164256350.181465158212818
630.791296748286570.4174065034268610.20870325171343
640.7618700867900560.4762598264198880.238129913209944
650.744617500218520.510764999562960.25538249978148
660.7164154239614630.5671691520770750.283584576038537
670.6964938038185530.6070123923628940.303506196181447
680.6622695552103990.6754608895792020.337730444789601
690.6426055471912290.7147889056175420.357394452808771
700.612382186262270.7752356274754590.38761781373773
710.5740779938040840.8518440123918330.425922006195916
720.5350910018679160.9298179962641680.464908998132084
730.4966759419224780.9933518838449570.503324058077522
740.457993639993520.915987279987040.54200636000648
750.4216041588410940.8432083176821870.578395841158906
760.3858576639196580.7717153278393170.614142336080342
770.360277768129680.720555536259360.63972223187032
780.3640739419762310.7281478839524610.635926058023769
790.3320898399656930.6641796799313860.667910160034307
800.3026075797381210.6052151594762420.697392420261879
810.269636577334570.539273154669140.73036342266543
820.2562195471162170.5124390942324330.743780452883783
830.2261480582006290.4522961164012570.773851941799371
840.316706488889710.633412977779420.68329351111029
850.284299213548270.5685984270965410.71570078645173
860.2937376124313360.5874752248626720.706262387568664
870.2629751439586450.525950287917290.737024856041355
880.260731995776440.521463991552880.73926800422356
890.2336271224655980.4672542449311960.766372877534402
900.2061780434088040.4123560868176090.793821956591196
910.1942008873109260.3884017746218520.805799112689074
920.1837911390236460.3675822780472920.816208860976354
930.1670067127434110.3340134254868220.832993287256589
940.1589430548503950.3178861097007890.841056945149605
950.1485460432904490.2970920865808980.851453956709551
960.1347269282104040.2694538564208080.865273071789596
970.1162202318101630.2324404636203260.883779768189837
980.1225402841227940.2450805682455880.877459715877206
990.1106135271578760.2212270543157530.889386472842124
1000.1010043674663410.2020087349326830.898995632533659
1010.08601208198349120.1720241639669820.913987918016509
1020.07986109846388820.1597221969277760.920138901536112
1030.07105217978268980.142104359565380.92894782021731
1040.07070331725453490.141406634509070.929296682745465
1050.06007410561828950.1201482112365790.93992589438171
1060.05149414633271210.1029882926654240.948505853667288
1070.07195616852608060.1439123370521610.928043831473919
1080.06077925976470720.1215585195294140.939220740235293
1090.05073342007309520.101466840146190.949266579926905
1100.04719121234763670.09438242469527350.952808787652363
1110.06008671116628120.1201734223325620.939913288833719
1120.05110160421243710.1022032084248740.948898395787563
1130.04256446839014310.08512893678028630.957435531609857
1140.03698323660161670.07396647320323340.963016763398383
1150.03038915952660850.06077831905321690.969610840473392
1160.02477836329791650.04955672659583290.975221636702084
1170.02011800111388220.04023600222776440.979881998886118
1180.02033838109934360.04067676219868720.979661618900656
1190.01898740093578750.03797480187157490.981012599064213
1200.01546289879379330.03092579758758650.984537101206207
1210.02009992502649050.04019985005298090.97990007497351
1220.01939230332359580.03878460664719150.980607696676404
1230.01569177997017210.03138355994034430.984308220029828
1240.01383251047225960.02766502094451930.98616748952774
1250.01224780566200950.02449561132401910.98775219433799
1260.01378566408140950.02757132816281910.98621433591859
1270.01103809617392810.02207619234785620.988961903826072
1280.00941805199677150.0188361039935430.990581948003229
1290.007453259490600420.01490651898120080.9925467405094
1300.005976637854554390.01195327570910880.994023362145446
1310.00491319350129380.009826387002587590.995086806498706
1320.003936483457384670.007872966914769340.996063516542615
1330.003500983546316770.007001967092633540.996499016453683
1340.003297942658036970.006595885316073940.996702057341963
1350.003075757499362940.006151514998725880.996924242500637
1360.002418487878651380.004836975757302760.997581512121349
1370.001887751618969870.003775503237939740.99811224838103
1380.001433562425104520.002867124850209040.998566437574895
1390.001113782819821660.002227565639643330.998886217180178
1400.0008507589205382350.001701517841076470.999149241079462
1410.02185799576954020.04371599153908030.97814200423046
1420.0181598261251110.03631965225022210.981840173874889
1430.03258686619651270.06517373239302540.967413133803487
1440.15723169172340.3144633834468010.8427683082766
1450.1574445037510570.3148890075021140.842555496248943
1460.1381896788793750.2763793577587490.861810321120625
1470.1249616704422180.2499233408844350.875038329557782
1480.1093532358659130.2187064717318260.890646764134087
1490.1156563583163980.2313127166327970.884343641683601
1500.1339255200160350.2678510400320690.866074479983965
1510.1165033538759830.2330067077519670.883496646124017
1520.1041521630245430.2083043260490850.895847836975457
1530.09582231471864860.1916446294372970.904177685281351
1540.08309916596525070.1661983319305010.916900834034749
1550.07129768102661780.1425953620532360.928702318973382
1560.06115423112848480.122308462256970.938845768871515
1570.1293195070783280.2586390141566550.870680492921672
1580.1497950622207540.2995901244415080.850204937779246
1590.1419303143221270.2838606286442550.858069685677873
1600.1259692216194320.2519384432388640.874030778380568
1610.1091743177176090.2183486354352170.890825682282391
1620.09484337444288740.1896867488857750.905156625557113
1630.08123026383995640.1624605276799130.918769736160044
1640.0776358137111460.1552716274222920.922364186288854
1650.07576210557749260.1515242111549850.924237894422507
1660.06429440302523360.1285888060504670.935705596974766
1670.08483480887472730.1696696177494550.915165191125273
1680.07743770576297910.1548754115259580.922562294237021
1690.0668677544650770.1337355089301540.933132245534923
1700.05729106990633990.114582139812680.94270893009366
1710.04808373803343520.09616747606687040.951916261966565
1720.04073122693090450.0814624538618090.959268773069096
1730.03734273268075110.07468546536150220.962657267319249
1740.03097486783232890.06194973566465790.969025132167671
1750.04733085590267170.09466171180534340.952669144097328
1760.04190570526196110.08381141052392220.958094294738039
1770.03557336292905440.07114672585810880.964426637070946
1780.03627041521236520.07254083042473050.963729584787635
1790.03140194350684690.06280388701369380.968598056493153
1800.04057646467116580.08115292934233150.959423535328834
1810.03431782663515090.06863565327030190.965682173364849
1820.03229628381423850.06459256762847690.967703716185762
1830.07473044508922940.1494608901784590.925269554910771
1840.06437805452239090.1287561090447820.935621945477609
1850.05748781540177340.1149756308035470.942512184598227
1860.06827555105815850.1365511021163170.931724448941842
1870.05976345516485370.1195269103297070.940236544835146
1880.05054659841092190.1010931968218440.949453401589078
1890.04270257485959630.08540514971919250.957297425140404
1900.03634623991938650.07269247983877310.963653760080613
1910.04307457961328110.08614915922656230.956925420386719
1920.03557874379485280.07115748758970570.964421256205147
1930.03715907717249180.07431815434498360.962840922827508
1940.03046428293165250.06092856586330490.969535717068348
1950.09036275808534860.1807255161706970.909637241914651
1960.07855774401372280.1571154880274460.921442255986277
1970.06612436319110790.1322487263822160.933875636808892
1980.05542554276977810.1108510855395560.944574457230222
1990.04764363718747410.09528727437494830.952356362812526
2000.2849797489437060.5699594978874130.715020251056294
2010.2629126218021350.5258252436042690.737087378197865
2020.242358664157470.484717328314940.75764133584253
2030.2142415144175490.4284830288350980.785758485582451
2040.1882223153454780.3764446306909550.811777684654522
2050.1697063128101750.3394126256203510.830293687189825
2060.1566027123585420.3132054247170850.843397287641458
2070.1386485419922340.2772970839844690.861351458007766
2080.1243064845332180.2486129690664360.875693515466782
2090.1063016116971780.2126032233943560.893698388302822
2100.110209542923590.220419085847180.88979045707641
2110.09638323324494890.1927664664898980.903616766755051
2120.09494521808589630.1898904361717930.905054781914104
2130.1422608407777870.2845216815555740.857739159222213
2140.1391209476736490.2782418953472990.860879052326351
2150.1199286864135560.2398573728271120.880071313586444
2160.1508844441799790.3017688883599590.849115555820021
2170.1292743913097370.2585487826194740.870725608690263
2180.1105038155968610.2210076311937220.889496184403139
2190.1992301547368430.3984603094736860.800769845263157
2200.1741853373920930.3483706747841860.825814662607907
2210.1603380427518540.3206760855037080.839661957248146
2220.1419408888072120.2838817776144250.858059111192788
2230.1219965876623630.2439931753247270.878003412337637
2240.1085801543087040.2171603086174070.891419845691297
2250.1776848896186940.3553697792373890.822315110381306
2260.1893222246957010.3786444493914020.810677775304299
2270.2937566139496810.5875132278993630.706243386050319
2280.2587612064484950.5175224128969910.741238793551505
2290.2337844031690310.4675688063380610.766215596830969
2300.2368989365795130.4737978731590260.763101063420487
2310.2076661993677420.4153323987354840.792333800632258
2320.1869937880577840.3739875761155680.813006211942216
2330.2434999827293430.4869999654586860.756500017270657
2340.2223416499703370.4446832999406730.777658350029663
2350.1982637578436550.3965275156873110.801736242156345
2360.1699509692931840.3399019385863690.830049030706816
2370.1432647605454510.2865295210909030.856735239454549
2380.1386192665163360.2772385330326720.861380733483664
2390.2156320054722250.4312640109444510.784367994527775
2400.1841266080608660.3682532161217320.815873391939134
2410.2720260461929190.5440520923858380.727973953807081
2420.2572022877371040.5144045754742090.742797712262895
2430.2954287609228070.5908575218456130.704571239077193
2440.2574697929292570.5149395858585140.742530207070743
2450.3653800935506820.7307601871013640.634619906449318
2460.32046625621010.6409325124202010.6795337437899
2470.2868278997211580.5736557994423160.713172100278842
2480.2839683904568860.5679367809137730.716031609543114
2490.256547178515350.51309435703070.74345282148465
2500.2325534041624230.4651068083248450.767446595837577
2510.2504798794288090.5009597588576170.749520120571191
2520.213114252973490.4262285059469810.78688574702651
2530.1862621766231410.3725243532462820.813737823376859
2540.1520088460394770.3040176920789540.847991153960523
2550.1262345886398250.2524691772796510.873765411360175
2560.13325130467360.26650260934720.8667486953264
2570.1108416999564430.2216833999128850.889158300043557
2580.1554589398579790.3109178797159580.844541060142021
2590.2812212140732460.5624424281464920.718778785926754
2600.2487914281451150.4975828562902290.751208571854885
2610.2546303085788610.5092606171577220.745369691421139
2620.2192162880198540.4384325760397070.780783711980146
2630.1750337529701470.3500675059402940.824966247029853
2640.2001172524788170.4002345049576340.799882747521183
2650.1592188587967750.3184377175935490.840781141203225
2660.1247527761669250.249505552333850.875247223833075
2670.09340117519856090.1868023503971220.906598824801439
2680.1073604088538470.2147208177076950.892639591146153
2690.09067974449012520.181359488980250.909320255509875
2700.137805751297680.275611502595360.86219424870232
2710.1150766789868610.2301533579737220.884923321013139
2720.08496097904174590.1699219580834920.915039020958254
2730.06091600827367720.1218320165473540.939083991726323
2740.04263614283991010.08527228567982010.95736385716009
2750.05373861078886110.1074772215777220.946261389211139
2760.1685080653982880.3370161307965760.831491934601712
2770.1152771420973850.2305542841947690.884722857902615
2780.3775696527072340.7551393054144680.622430347292766
2790.2788052875970450.557610575194090.721194712402955

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
10 & 0.0495619792234293 & 0.0991239584468585 & 0.950438020776571 \tabularnewline
11 & 0.0389382007524984 & 0.0778764015049968 & 0.961061799247502 \tabularnewline
12 & 0.0129518325076004 & 0.0259036650152007 & 0.9870481674924 \tabularnewline
13 & 0.00610538186766364 & 0.0122107637353273 & 0.993894618132336 \tabularnewline
14 & 0.0021656001022882 & 0.00433120020457639 & 0.997834399897712 \tabularnewline
15 & 0.000660280102335434 & 0.00132056020467087 & 0.999339719897665 \tabularnewline
16 & 0.000212539669380829 & 0.000425079338761658 & 0.999787460330619 \tabularnewline
17 & 5.80325830651761e-05 & 0.000116065166130352 & 0.999941967416935 \tabularnewline
18 & 4.17054512386963e-05 & 8.34109024773925e-05 & 0.999958294548761 \tabularnewline
19 & 1.18111219580198e-05 & 2.36222439160395e-05 & 0.999988188878042 \tabularnewline
20 & 2.32278860279544e-05 & 4.64557720559088e-05 & 0.999976772113972 \tabularnewline
21 & 3.47400600703473e-05 & 6.94801201406947e-05 & 0.99996525993993 \tabularnewline
22 & 1.1549806646735e-05 & 2.30996132934701e-05 & 0.999988450193353 \tabularnewline
23 & 4.06019198687376e-06 & 8.12038397374751e-06 & 0.999995939808013 \tabularnewline
24 & 2.00236663544683e-06 & 4.00473327089366e-06 & 0.999997997633364 \tabularnewline
25 & 0.00086775590558833 & 0.00173551181117666 & 0.999132244094412 \tabularnewline
26 & 0.000617571664097079 & 0.00123514332819416 & 0.999382428335903 \tabularnewline
27 & 0.0694922019746814 & 0.138984403949363 & 0.930507798025319 \tabularnewline
28 & 0.0516284325282609 & 0.103256865056522 & 0.948371567471739 \tabularnewline
29 & 0.0511393823676074 & 0.102278764735215 & 0.948860617632393 \tabularnewline
30 & 0.0422614314106044 & 0.0845228628212088 & 0.957738568589396 \tabularnewline
31 & 0.0322142938962632 & 0.0644285877925263 & 0.967785706103737 \tabularnewline
32 & 0.0515383467926841 & 0.103076693585368 & 0.948461653207316 \tabularnewline
33 & 0.0846882143371675 & 0.169376428674335 & 0.915311785662833 \tabularnewline
34 & 0.0664804410234784 & 0.132960882046957 & 0.933519558976522 \tabularnewline
35 & 0.0526066315212532 & 0.105213263042506 & 0.947393368478747 \tabularnewline
36 & 0.0435916128558692 & 0.0871832257117385 & 0.956408387144131 \tabularnewline
37 & 0.0369259992001681 & 0.0738519984003362 & 0.963074000799832 \tabularnewline
38 & 0.0267337483331758 & 0.0534674966663517 & 0.973266251666824 \tabularnewline
39 & 0.122228116120661 & 0.244456232241323 & 0.877771883879338 \tabularnewline
40 & 0.0986933870682132 & 0.197386774136426 & 0.901306612931787 \tabularnewline
41 & 0.0859452657729972 & 0.171890531545994 & 0.914054734227003 \tabularnewline
42 & 0.0768940606742429 & 0.153788121348486 & 0.923105939325757 \tabularnewline
43 & 0.0610388927246254 & 0.122077785449251 & 0.938961107275375 \tabularnewline
44 & 0.0466170868112736 & 0.0932341736225471 & 0.953382913188726 \tabularnewline
45 & 0.349040444218152 & 0.698080888436305 & 0.650959555781848 \tabularnewline
46 & 0.355950277446205 & 0.711900554892411 & 0.644049722553795 \tabularnewline
47 & 0.32411900197423 & 0.64823800394846 & 0.67588099802577 \tabularnewline
48 & 0.287415268858925 & 0.57483053771785 & 0.712584731141075 \tabularnewline
49 & 0.294571816817512 & 0.589143633635024 & 0.705428183182488 \tabularnewline
50 & 0.258720947571505 & 0.51744189514301 & 0.741279052428495 \tabularnewline
51 & 0.232283400193087 & 0.464566800386173 & 0.767716599806913 \tabularnewline
52 & 0.220114158896838 & 0.440228317793675 & 0.779885841103162 \tabularnewline
53 & 0.204604107585215 & 0.409208215170431 & 0.795395892414785 \tabularnewline
54 & 0.717226049496542 & 0.565547901006917 & 0.282773950503458 \tabularnewline
55 & 0.771398176084705 & 0.45720364783059 & 0.228601823915295 \tabularnewline
56 & 0.742254326978241 & 0.515491346043518 & 0.257745673021759 \tabularnewline
57 & 0.727576039738619 & 0.544847920522763 & 0.272423960261381 \tabularnewline
58 & 0.696037481407611 & 0.607925037184778 & 0.303962518592389 \tabularnewline
59 & 0.709622917025313 & 0.580754165949373 & 0.290377082974687 \tabularnewline
60 & 0.850848007700678 & 0.298303984598645 & 0.149151992299322 \tabularnewline
61 & 0.835880949505878 & 0.328238100988243 & 0.164119050494122 \tabularnewline
62 & 0.818534841787182 & 0.362930316425635 & 0.181465158212818 \tabularnewline
63 & 0.79129674828657 & 0.417406503426861 & 0.20870325171343 \tabularnewline
64 & 0.761870086790056 & 0.476259826419888 & 0.238129913209944 \tabularnewline
65 & 0.74461750021852 & 0.51076499956296 & 0.25538249978148 \tabularnewline
66 & 0.716415423961463 & 0.567169152077075 & 0.283584576038537 \tabularnewline
67 & 0.696493803818553 & 0.607012392362894 & 0.303506196181447 \tabularnewline
68 & 0.662269555210399 & 0.675460889579202 & 0.337730444789601 \tabularnewline
69 & 0.642605547191229 & 0.714788905617542 & 0.357394452808771 \tabularnewline
70 & 0.61238218626227 & 0.775235627475459 & 0.38761781373773 \tabularnewline
71 & 0.574077993804084 & 0.851844012391833 & 0.425922006195916 \tabularnewline
72 & 0.535091001867916 & 0.929817996264168 & 0.464908998132084 \tabularnewline
73 & 0.496675941922478 & 0.993351883844957 & 0.503324058077522 \tabularnewline
74 & 0.45799363999352 & 0.91598727998704 & 0.54200636000648 \tabularnewline
75 & 0.421604158841094 & 0.843208317682187 & 0.578395841158906 \tabularnewline
76 & 0.385857663919658 & 0.771715327839317 & 0.614142336080342 \tabularnewline
77 & 0.36027776812968 & 0.72055553625936 & 0.63972223187032 \tabularnewline
78 & 0.364073941976231 & 0.728147883952461 & 0.635926058023769 \tabularnewline
79 & 0.332089839965693 & 0.664179679931386 & 0.667910160034307 \tabularnewline
80 & 0.302607579738121 & 0.605215159476242 & 0.697392420261879 \tabularnewline
81 & 0.26963657733457 & 0.53927315466914 & 0.73036342266543 \tabularnewline
82 & 0.256219547116217 & 0.512439094232433 & 0.743780452883783 \tabularnewline
83 & 0.226148058200629 & 0.452296116401257 & 0.773851941799371 \tabularnewline
84 & 0.31670648888971 & 0.63341297777942 & 0.68329351111029 \tabularnewline
85 & 0.28429921354827 & 0.568598427096541 & 0.71570078645173 \tabularnewline
86 & 0.293737612431336 & 0.587475224862672 & 0.706262387568664 \tabularnewline
87 & 0.262975143958645 & 0.52595028791729 & 0.737024856041355 \tabularnewline
88 & 0.26073199577644 & 0.52146399155288 & 0.73926800422356 \tabularnewline
89 & 0.233627122465598 & 0.467254244931196 & 0.766372877534402 \tabularnewline
90 & 0.206178043408804 & 0.412356086817609 & 0.793821956591196 \tabularnewline
91 & 0.194200887310926 & 0.388401774621852 & 0.805799112689074 \tabularnewline
92 & 0.183791139023646 & 0.367582278047292 & 0.816208860976354 \tabularnewline
93 & 0.167006712743411 & 0.334013425486822 & 0.832993287256589 \tabularnewline
94 & 0.158943054850395 & 0.317886109700789 & 0.841056945149605 \tabularnewline
95 & 0.148546043290449 & 0.297092086580898 & 0.851453956709551 \tabularnewline
96 & 0.134726928210404 & 0.269453856420808 & 0.865273071789596 \tabularnewline
97 & 0.116220231810163 & 0.232440463620326 & 0.883779768189837 \tabularnewline
98 & 0.122540284122794 & 0.245080568245588 & 0.877459715877206 \tabularnewline
99 & 0.110613527157876 & 0.221227054315753 & 0.889386472842124 \tabularnewline
100 & 0.101004367466341 & 0.202008734932683 & 0.898995632533659 \tabularnewline
101 & 0.0860120819834912 & 0.172024163966982 & 0.913987918016509 \tabularnewline
102 & 0.0798610984638882 & 0.159722196927776 & 0.920138901536112 \tabularnewline
103 & 0.0710521797826898 & 0.14210435956538 & 0.92894782021731 \tabularnewline
104 & 0.0707033172545349 & 0.14140663450907 & 0.929296682745465 \tabularnewline
105 & 0.0600741056182895 & 0.120148211236579 & 0.93992589438171 \tabularnewline
106 & 0.0514941463327121 & 0.102988292665424 & 0.948505853667288 \tabularnewline
107 & 0.0719561685260806 & 0.143912337052161 & 0.928043831473919 \tabularnewline
108 & 0.0607792597647072 & 0.121558519529414 & 0.939220740235293 \tabularnewline
109 & 0.0507334200730952 & 0.10146684014619 & 0.949266579926905 \tabularnewline
110 & 0.0471912123476367 & 0.0943824246952735 & 0.952808787652363 \tabularnewline
111 & 0.0600867111662812 & 0.120173422332562 & 0.939913288833719 \tabularnewline
112 & 0.0511016042124371 & 0.102203208424874 & 0.948898395787563 \tabularnewline
113 & 0.0425644683901431 & 0.0851289367802863 & 0.957435531609857 \tabularnewline
114 & 0.0369832366016167 & 0.0739664732032334 & 0.963016763398383 \tabularnewline
115 & 0.0303891595266085 & 0.0607783190532169 & 0.969610840473392 \tabularnewline
116 & 0.0247783632979165 & 0.0495567265958329 & 0.975221636702084 \tabularnewline
117 & 0.0201180011138822 & 0.0402360022277644 & 0.979881998886118 \tabularnewline
118 & 0.0203383810993436 & 0.0406767621986872 & 0.979661618900656 \tabularnewline
119 & 0.0189874009357875 & 0.0379748018715749 & 0.981012599064213 \tabularnewline
120 & 0.0154628987937933 & 0.0309257975875865 & 0.984537101206207 \tabularnewline
121 & 0.0200999250264905 & 0.0401998500529809 & 0.97990007497351 \tabularnewline
122 & 0.0193923033235958 & 0.0387846066471915 & 0.980607696676404 \tabularnewline
123 & 0.0156917799701721 & 0.0313835599403443 & 0.984308220029828 \tabularnewline
124 & 0.0138325104722596 & 0.0276650209445193 & 0.98616748952774 \tabularnewline
125 & 0.0122478056620095 & 0.0244956113240191 & 0.98775219433799 \tabularnewline
126 & 0.0137856640814095 & 0.0275713281628191 & 0.98621433591859 \tabularnewline
127 & 0.0110380961739281 & 0.0220761923478562 & 0.988961903826072 \tabularnewline
128 & 0.0094180519967715 & 0.018836103993543 & 0.990581948003229 \tabularnewline
129 & 0.00745325949060042 & 0.0149065189812008 & 0.9925467405094 \tabularnewline
130 & 0.00597663785455439 & 0.0119532757091088 & 0.994023362145446 \tabularnewline
131 & 0.0049131935012938 & 0.00982638700258759 & 0.995086806498706 \tabularnewline
132 & 0.00393648345738467 & 0.00787296691476934 & 0.996063516542615 \tabularnewline
133 & 0.00350098354631677 & 0.00700196709263354 & 0.996499016453683 \tabularnewline
134 & 0.00329794265803697 & 0.00659588531607394 & 0.996702057341963 \tabularnewline
135 & 0.00307575749936294 & 0.00615151499872588 & 0.996924242500637 \tabularnewline
136 & 0.00241848787865138 & 0.00483697575730276 & 0.997581512121349 \tabularnewline
137 & 0.00188775161896987 & 0.00377550323793974 & 0.99811224838103 \tabularnewline
138 & 0.00143356242510452 & 0.00286712485020904 & 0.998566437574895 \tabularnewline
139 & 0.00111378281982166 & 0.00222756563964333 & 0.998886217180178 \tabularnewline
140 & 0.000850758920538235 & 0.00170151784107647 & 0.999149241079462 \tabularnewline
141 & 0.0218579957695402 & 0.0437159915390803 & 0.97814200423046 \tabularnewline
142 & 0.018159826125111 & 0.0363196522502221 & 0.981840173874889 \tabularnewline
143 & 0.0325868661965127 & 0.0651737323930254 & 0.967413133803487 \tabularnewline
144 & 0.1572316917234 & 0.314463383446801 & 0.8427683082766 \tabularnewline
145 & 0.157444503751057 & 0.314889007502114 & 0.842555496248943 \tabularnewline
146 & 0.138189678879375 & 0.276379357758749 & 0.861810321120625 \tabularnewline
147 & 0.124961670442218 & 0.249923340884435 & 0.875038329557782 \tabularnewline
148 & 0.109353235865913 & 0.218706471731826 & 0.890646764134087 \tabularnewline
149 & 0.115656358316398 & 0.231312716632797 & 0.884343641683601 \tabularnewline
150 & 0.133925520016035 & 0.267851040032069 & 0.866074479983965 \tabularnewline
151 & 0.116503353875983 & 0.233006707751967 & 0.883496646124017 \tabularnewline
152 & 0.104152163024543 & 0.208304326049085 & 0.895847836975457 \tabularnewline
153 & 0.0958223147186486 & 0.191644629437297 & 0.904177685281351 \tabularnewline
154 & 0.0830991659652507 & 0.166198331930501 & 0.916900834034749 \tabularnewline
155 & 0.0712976810266178 & 0.142595362053236 & 0.928702318973382 \tabularnewline
156 & 0.0611542311284848 & 0.12230846225697 & 0.938845768871515 \tabularnewline
157 & 0.129319507078328 & 0.258639014156655 & 0.870680492921672 \tabularnewline
158 & 0.149795062220754 & 0.299590124441508 & 0.850204937779246 \tabularnewline
159 & 0.141930314322127 & 0.283860628644255 & 0.858069685677873 \tabularnewline
160 & 0.125969221619432 & 0.251938443238864 & 0.874030778380568 \tabularnewline
161 & 0.109174317717609 & 0.218348635435217 & 0.890825682282391 \tabularnewline
162 & 0.0948433744428874 & 0.189686748885775 & 0.905156625557113 \tabularnewline
163 & 0.0812302638399564 & 0.162460527679913 & 0.918769736160044 \tabularnewline
164 & 0.077635813711146 & 0.155271627422292 & 0.922364186288854 \tabularnewline
165 & 0.0757621055774926 & 0.151524211154985 & 0.924237894422507 \tabularnewline
166 & 0.0642944030252336 & 0.128588806050467 & 0.935705596974766 \tabularnewline
167 & 0.0848348088747273 & 0.169669617749455 & 0.915165191125273 \tabularnewline
168 & 0.0774377057629791 & 0.154875411525958 & 0.922562294237021 \tabularnewline
169 & 0.066867754465077 & 0.133735508930154 & 0.933132245534923 \tabularnewline
170 & 0.0572910699063399 & 0.11458213981268 & 0.94270893009366 \tabularnewline
171 & 0.0480837380334352 & 0.0961674760668704 & 0.951916261966565 \tabularnewline
172 & 0.0407312269309045 & 0.081462453861809 & 0.959268773069096 \tabularnewline
173 & 0.0373427326807511 & 0.0746854653615022 & 0.962657267319249 \tabularnewline
174 & 0.0309748678323289 & 0.0619497356646579 & 0.969025132167671 \tabularnewline
175 & 0.0473308559026717 & 0.0946617118053434 & 0.952669144097328 \tabularnewline
176 & 0.0419057052619611 & 0.0838114105239222 & 0.958094294738039 \tabularnewline
177 & 0.0355733629290544 & 0.0711467258581088 & 0.964426637070946 \tabularnewline
178 & 0.0362704152123652 & 0.0725408304247305 & 0.963729584787635 \tabularnewline
179 & 0.0314019435068469 & 0.0628038870136938 & 0.968598056493153 \tabularnewline
180 & 0.0405764646711658 & 0.0811529293423315 & 0.959423535328834 \tabularnewline
181 & 0.0343178266351509 & 0.0686356532703019 & 0.965682173364849 \tabularnewline
182 & 0.0322962838142385 & 0.0645925676284769 & 0.967703716185762 \tabularnewline
183 & 0.0747304450892294 & 0.149460890178459 & 0.925269554910771 \tabularnewline
184 & 0.0643780545223909 & 0.128756109044782 & 0.935621945477609 \tabularnewline
185 & 0.0574878154017734 & 0.114975630803547 & 0.942512184598227 \tabularnewline
186 & 0.0682755510581585 & 0.136551102116317 & 0.931724448941842 \tabularnewline
187 & 0.0597634551648537 & 0.119526910329707 & 0.940236544835146 \tabularnewline
188 & 0.0505465984109219 & 0.101093196821844 & 0.949453401589078 \tabularnewline
189 & 0.0427025748595963 & 0.0854051497191925 & 0.957297425140404 \tabularnewline
190 & 0.0363462399193865 & 0.0726924798387731 & 0.963653760080613 \tabularnewline
191 & 0.0430745796132811 & 0.0861491592265623 & 0.956925420386719 \tabularnewline
192 & 0.0355787437948528 & 0.0711574875897057 & 0.964421256205147 \tabularnewline
193 & 0.0371590771724918 & 0.0743181543449836 & 0.962840922827508 \tabularnewline
194 & 0.0304642829316525 & 0.0609285658633049 & 0.969535717068348 \tabularnewline
195 & 0.0903627580853486 & 0.180725516170697 & 0.909637241914651 \tabularnewline
196 & 0.0785577440137228 & 0.157115488027446 & 0.921442255986277 \tabularnewline
197 & 0.0661243631911079 & 0.132248726382216 & 0.933875636808892 \tabularnewline
198 & 0.0554255427697781 & 0.110851085539556 & 0.944574457230222 \tabularnewline
199 & 0.0476436371874741 & 0.0952872743749483 & 0.952356362812526 \tabularnewline
200 & 0.284979748943706 & 0.569959497887413 & 0.715020251056294 \tabularnewline
201 & 0.262912621802135 & 0.525825243604269 & 0.737087378197865 \tabularnewline
202 & 0.24235866415747 & 0.48471732831494 & 0.75764133584253 \tabularnewline
203 & 0.214241514417549 & 0.428483028835098 & 0.785758485582451 \tabularnewline
204 & 0.188222315345478 & 0.376444630690955 & 0.811777684654522 \tabularnewline
205 & 0.169706312810175 & 0.339412625620351 & 0.830293687189825 \tabularnewline
206 & 0.156602712358542 & 0.313205424717085 & 0.843397287641458 \tabularnewline
207 & 0.138648541992234 & 0.277297083984469 & 0.861351458007766 \tabularnewline
208 & 0.124306484533218 & 0.248612969066436 & 0.875693515466782 \tabularnewline
209 & 0.106301611697178 & 0.212603223394356 & 0.893698388302822 \tabularnewline
210 & 0.11020954292359 & 0.22041908584718 & 0.88979045707641 \tabularnewline
211 & 0.0963832332449489 & 0.192766466489898 & 0.903616766755051 \tabularnewline
212 & 0.0949452180858963 & 0.189890436171793 & 0.905054781914104 \tabularnewline
213 & 0.142260840777787 & 0.284521681555574 & 0.857739159222213 \tabularnewline
214 & 0.139120947673649 & 0.278241895347299 & 0.860879052326351 \tabularnewline
215 & 0.119928686413556 & 0.239857372827112 & 0.880071313586444 \tabularnewline
216 & 0.150884444179979 & 0.301768888359959 & 0.849115555820021 \tabularnewline
217 & 0.129274391309737 & 0.258548782619474 & 0.870725608690263 \tabularnewline
218 & 0.110503815596861 & 0.221007631193722 & 0.889496184403139 \tabularnewline
219 & 0.199230154736843 & 0.398460309473686 & 0.800769845263157 \tabularnewline
220 & 0.174185337392093 & 0.348370674784186 & 0.825814662607907 \tabularnewline
221 & 0.160338042751854 & 0.320676085503708 & 0.839661957248146 \tabularnewline
222 & 0.141940888807212 & 0.283881777614425 & 0.858059111192788 \tabularnewline
223 & 0.121996587662363 & 0.243993175324727 & 0.878003412337637 \tabularnewline
224 & 0.108580154308704 & 0.217160308617407 & 0.891419845691297 \tabularnewline
225 & 0.177684889618694 & 0.355369779237389 & 0.822315110381306 \tabularnewline
226 & 0.189322224695701 & 0.378644449391402 & 0.810677775304299 \tabularnewline
227 & 0.293756613949681 & 0.587513227899363 & 0.706243386050319 \tabularnewline
228 & 0.258761206448495 & 0.517522412896991 & 0.741238793551505 \tabularnewline
229 & 0.233784403169031 & 0.467568806338061 & 0.766215596830969 \tabularnewline
230 & 0.236898936579513 & 0.473797873159026 & 0.763101063420487 \tabularnewline
231 & 0.207666199367742 & 0.415332398735484 & 0.792333800632258 \tabularnewline
232 & 0.186993788057784 & 0.373987576115568 & 0.813006211942216 \tabularnewline
233 & 0.243499982729343 & 0.486999965458686 & 0.756500017270657 \tabularnewline
234 & 0.222341649970337 & 0.444683299940673 & 0.777658350029663 \tabularnewline
235 & 0.198263757843655 & 0.396527515687311 & 0.801736242156345 \tabularnewline
236 & 0.169950969293184 & 0.339901938586369 & 0.830049030706816 \tabularnewline
237 & 0.143264760545451 & 0.286529521090903 & 0.856735239454549 \tabularnewline
238 & 0.138619266516336 & 0.277238533032672 & 0.861380733483664 \tabularnewline
239 & 0.215632005472225 & 0.431264010944451 & 0.784367994527775 \tabularnewline
240 & 0.184126608060866 & 0.368253216121732 & 0.815873391939134 \tabularnewline
241 & 0.272026046192919 & 0.544052092385838 & 0.727973953807081 \tabularnewline
242 & 0.257202287737104 & 0.514404575474209 & 0.742797712262895 \tabularnewline
243 & 0.295428760922807 & 0.590857521845613 & 0.704571239077193 \tabularnewline
244 & 0.257469792929257 & 0.514939585858514 & 0.742530207070743 \tabularnewline
245 & 0.365380093550682 & 0.730760187101364 & 0.634619906449318 \tabularnewline
246 & 0.3204662562101 & 0.640932512420201 & 0.6795337437899 \tabularnewline
247 & 0.286827899721158 & 0.573655799442316 & 0.713172100278842 \tabularnewline
248 & 0.283968390456886 & 0.567936780913773 & 0.716031609543114 \tabularnewline
249 & 0.25654717851535 & 0.5130943570307 & 0.74345282148465 \tabularnewline
250 & 0.232553404162423 & 0.465106808324845 & 0.767446595837577 \tabularnewline
251 & 0.250479879428809 & 0.500959758857617 & 0.749520120571191 \tabularnewline
252 & 0.21311425297349 & 0.426228505946981 & 0.78688574702651 \tabularnewline
253 & 0.186262176623141 & 0.372524353246282 & 0.813737823376859 \tabularnewline
254 & 0.152008846039477 & 0.304017692078954 & 0.847991153960523 \tabularnewline
255 & 0.126234588639825 & 0.252469177279651 & 0.873765411360175 \tabularnewline
256 & 0.1332513046736 & 0.2665026093472 & 0.8667486953264 \tabularnewline
257 & 0.110841699956443 & 0.221683399912885 & 0.889158300043557 \tabularnewline
258 & 0.155458939857979 & 0.310917879715958 & 0.844541060142021 \tabularnewline
259 & 0.281221214073246 & 0.562442428146492 & 0.718778785926754 \tabularnewline
260 & 0.248791428145115 & 0.497582856290229 & 0.751208571854885 \tabularnewline
261 & 0.254630308578861 & 0.509260617157722 & 0.745369691421139 \tabularnewline
262 & 0.219216288019854 & 0.438432576039707 & 0.780783711980146 \tabularnewline
263 & 0.175033752970147 & 0.350067505940294 & 0.824966247029853 \tabularnewline
264 & 0.200117252478817 & 0.400234504957634 & 0.799882747521183 \tabularnewline
265 & 0.159218858796775 & 0.318437717593549 & 0.840781141203225 \tabularnewline
266 & 0.124752776166925 & 0.24950555233385 & 0.875247223833075 \tabularnewline
267 & 0.0934011751985609 & 0.186802350397122 & 0.906598824801439 \tabularnewline
268 & 0.107360408853847 & 0.214720817707695 & 0.892639591146153 \tabularnewline
269 & 0.0906797444901252 & 0.18135948898025 & 0.909320255509875 \tabularnewline
270 & 0.13780575129768 & 0.27561150259536 & 0.86219424870232 \tabularnewline
271 & 0.115076678986861 & 0.230153357973722 & 0.884923321013139 \tabularnewline
272 & 0.0849609790417459 & 0.169921958083492 & 0.915039020958254 \tabularnewline
273 & 0.0609160082736772 & 0.121832016547354 & 0.939083991726323 \tabularnewline
274 & 0.0426361428399101 & 0.0852722856798201 & 0.95736385716009 \tabularnewline
275 & 0.0537386107888611 & 0.107477221577722 & 0.946261389211139 \tabularnewline
276 & 0.168508065398288 & 0.337016130796576 & 0.831491934601712 \tabularnewline
277 & 0.115277142097385 & 0.230554284194769 & 0.884722857902615 \tabularnewline
278 & 0.377569652707234 & 0.755139305414468 & 0.622430347292766 \tabularnewline
279 & 0.278805287597045 & 0.55761057519409 & 0.721194712402955 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155389&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]10[/C][C]0.0495619792234293[/C][C]0.0991239584468585[/C][C]0.950438020776571[/C][/ROW]
[ROW][C]11[/C][C]0.0389382007524984[/C][C]0.0778764015049968[/C][C]0.961061799247502[/C][/ROW]
[ROW][C]12[/C][C]0.0129518325076004[/C][C]0.0259036650152007[/C][C]0.9870481674924[/C][/ROW]
[ROW][C]13[/C][C]0.00610538186766364[/C][C]0.0122107637353273[/C][C]0.993894618132336[/C][/ROW]
[ROW][C]14[/C][C]0.0021656001022882[/C][C]0.00433120020457639[/C][C]0.997834399897712[/C][/ROW]
[ROW][C]15[/C][C]0.000660280102335434[/C][C]0.00132056020467087[/C][C]0.999339719897665[/C][/ROW]
[ROW][C]16[/C][C]0.000212539669380829[/C][C]0.000425079338761658[/C][C]0.999787460330619[/C][/ROW]
[ROW][C]17[/C][C]5.80325830651761e-05[/C][C]0.000116065166130352[/C][C]0.999941967416935[/C][/ROW]
[ROW][C]18[/C][C]4.17054512386963e-05[/C][C]8.34109024773925e-05[/C][C]0.999958294548761[/C][/ROW]
[ROW][C]19[/C][C]1.18111219580198e-05[/C][C]2.36222439160395e-05[/C][C]0.999988188878042[/C][/ROW]
[ROW][C]20[/C][C]2.32278860279544e-05[/C][C]4.64557720559088e-05[/C][C]0.999976772113972[/C][/ROW]
[ROW][C]21[/C][C]3.47400600703473e-05[/C][C]6.94801201406947e-05[/C][C]0.99996525993993[/C][/ROW]
[ROW][C]22[/C][C]1.1549806646735e-05[/C][C]2.30996132934701e-05[/C][C]0.999988450193353[/C][/ROW]
[ROW][C]23[/C][C]4.06019198687376e-06[/C][C]8.12038397374751e-06[/C][C]0.999995939808013[/C][/ROW]
[ROW][C]24[/C][C]2.00236663544683e-06[/C][C]4.00473327089366e-06[/C][C]0.999997997633364[/C][/ROW]
[ROW][C]25[/C][C]0.00086775590558833[/C][C]0.00173551181117666[/C][C]0.999132244094412[/C][/ROW]
[ROW][C]26[/C][C]0.000617571664097079[/C][C]0.00123514332819416[/C][C]0.999382428335903[/C][/ROW]
[ROW][C]27[/C][C]0.0694922019746814[/C][C]0.138984403949363[/C][C]0.930507798025319[/C][/ROW]
[ROW][C]28[/C][C]0.0516284325282609[/C][C]0.103256865056522[/C][C]0.948371567471739[/C][/ROW]
[ROW][C]29[/C][C]0.0511393823676074[/C][C]0.102278764735215[/C][C]0.948860617632393[/C][/ROW]
[ROW][C]30[/C][C]0.0422614314106044[/C][C]0.0845228628212088[/C][C]0.957738568589396[/C][/ROW]
[ROW][C]31[/C][C]0.0322142938962632[/C][C]0.0644285877925263[/C][C]0.967785706103737[/C][/ROW]
[ROW][C]32[/C][C]0.0515383467926841[/C][C]0.103076693585368[/C][C]0.948461653207316[/C][/ROW]
[ROW][C]33[/C][C]0.0846882143371675[/C][C]0.169376428674335[/C][C]0.915311785662833[/C][/ROW]
[ROW][C]34[/C][C]0.0664804410234784[/C][C]0.132960882046957[/C][C]0.933519558976522[/C][/ROW]
[ROW][C]35[/C][C]0.0526066315212532[/C][C]0.105213263042506[/C][C]0.947393368478747[/C][/ROW]
[ROW][C]36[/C][C]0.0435916128558692[/C][C]0.0871832257117385[/C][C]0.956408387144131[/C][/ROW]
[ROW][C]37[/C][C]0.0369259992001681[/C][C]0.0738519984003362[/C][C]0.963074000799832[/C][/ROW]
[ROW][C]38[/C][C]0.0267337483331758[/C][C]0.0534674966663517[/C][C]0.973266251666824[/C][/ROW]
[ROW][C]39[/C][C]0.122228116120661[/C][C]0.244456232241323[/C][C]0.877771883879338[/C][/ROW]
[ROW][C]40[/C][C]0.0986933870682132[/C][C]0.197386774136426[/C][C]0.901306612931787[/C][/ROW]
[ROW][C]41[/C][C]0.0859452657729972[/C][C]0.171890531545994[/C][C]0.914054734227003[/C][/ROW]
[ROW][C]42[/C][C]0.0768940606742429[/C][C]0.153788121348486[/C][C]0.923105939325757[/C][/ROW]
[ROW][C]43[/C][C]0.0610388927246254[/C][C]0.122077785449251[/C][C]0.938961107275375[/C][/ROW]
[ROW][C]44[/C][C]0.0466170868112736[/C][C]0.0932341736225471[/C][C]0.953382913188726[/C][/ROW]
[ROW][C]45[/C][C]0.349040444218152[/C][C]0.698080888436305[/C][C]0.650959555781848[/C][/ROW]
[ROW][C]46[/C][C]0.355950277446205[/C][C]0.711900554892411[/C][C]0.644049722553795[/C][/ROW]
[ROW][C]47[/C][C]0.32411900197423[/C][C]0.64823800394846[/C][C]0.67588099802577[/C][/ROW]
[ROW][C]48[/C][C]0.287415268858925[/C][C]0.57483053771785[/C][C]0.712584731141075[/C][/ROW]
[ROW][C]49[/C][C]0.294571816817512[/C][C]0.589143633635024[/C][C]0.705428183182488[/C][/ROW]
[ROW][C]50[/C][C]0.258720947571505[/C][C]0.51744189514301[/C][C]0.741279052428495[/C][/ROW]
[ROW][C]51[/C][C]0.232283400193087[/C][C]0.464566800386173[/C][C]0.767716599806913[/C][/ROW]
[ROW][C]52[/C][C]0.220114158896838[/C][C]0.440228317793675[/C][C]0.779885841103162[/C][/ROW]
[ROW][C]53[/C][C]0.204604107585215[/C][C]0.409208215170431[/C][C]0.795395892414785[/C][/ROW]
[ROW][C]54[/C][C]0.717226049496542[/C][C]0.565547901006917[/C][C]0.282773950503458[/C][/ROW]
[ROW][C]55[/C][C]0.771398176084705[/C][C]0.45720364783059[/C][C]0.228601823915295[/C][/ROW]
[ROW][C]56[/C][C]0.742254326978241[/C][C]0.515491346043518[/C][C]0.257745673021759[/C][/ROW]
[ROW][C]57[/C][C]0.727576039738619[/C][C]0.544847920522763[/C][C]0.272423960261381[/C][/ROW]
[ROW][C]58[/C][C]0.696037481407611[/C][C]0.607925037184778[/C][C]0.303962518592389[/C][/ROW]
[ROW][C]59[/C][C]0.709622917025313[/C][C]0.580754165949373[/C][C]0.290377082974687[/C][/ROW]
[ROW][C]60[/C][C]0.850848007700678[/C][C]0.298303984598645[/C][C]0.149151992299322[/C][/ROW]
[ROW][C]61[/C][C]0.835880949505878[/C][C]0.328238100988243[/C][C]0.164119050494122[/C][/ROW]
[ROW][C]62[/C][C]0.818534841787182[/C][C]0.362930316425635[/C][C]0.181465158212818[/C][/ROW]
[ROW][C]63[/C][C]0.79129674828657[/C][C]0.417406503426861[/C][C]0.20870325171343[/C][/ROW]
[ROW][C]64[/C][C]0.761870086790056[/C][C]0.476259826419888[/C][C]0.238129913209944[/C][/ROW]
[ROW][C]65[/C][C]0.74461750021852[/C][C]0.51076499956296[/C][C]0.25538249978148[/C][/ROW]
[ROW][C]66[/C][C]0.716415423961463[/C][C]0.567169152077075[/C][C]0.283584576038537[/C][/ROW]
[ROW][C]67[/C][C]0.696493803818553[/C][C]0.607012392362894[/C][C]0.303506196181447[/C][/ROW]
[ROW][C]68[/C][C]0.662269555210399[/C][C]0.675460889579202[/C][C]0.337730444789601[/C][/ROW]
[ROW][C]69[/C][C]0.642605547191229[/C][C]0.714788905617542[/C][C]0.357394452808771[/C][/ROW]
[ROW][C]70[/C][C]0.61238218626227[/C][C]0.775235627475459[/C][C]0.38761781373773[/C][/ROW]
[ROW][C]71[/C][C]0.574077993804084[/C][C]0.851844012391833[/C][C]0.425922006195916[/C][/ROW]
[ROW][C]72[/C][C]0.535091001867916[/C][C]0.929817996264168[/C][C]0.464908998132084[/C][/ROW]
[ROW][C]73[/C][C]0.496675941922478[/C][C]0.993351883844957[/C][C]0.503324058077522[/C][/ROW]
[ROW][C]74[/C][C]0.45799363999352[/C][C]0.91598727998704[/C][C]0.54200636000648[/C][/ROW]
[ROW][C]75[/C][C]0.421604158841094[/C][C]0.843208317682187[/C][C]0.578395841158906[/C][/ROW]
[ROW][C]76[/C][C]0.385857663919658[/C][C]0.771715327839317[/C][C]0.614142336080342[/C][/ROW]
[ROW][C]77[/C][C]0.36027776812968[/C][C]0.72055553625936[/C][C]0.63972223187032[/C][/ROW]
[ROW][C]78[/C][C]0.364073941976231[/C][C]0.728147883952461[/C][C]0.635926058023769[/C][/ROW]
[ROW][C]79[/C][C]0.332089839965693[/C][C]0.664179679931386[/C][C]0.667910160034307[/C][/ROW]
[ROW][C]80[/C][C]0.302607579738121[/C][C]0.605215159476242[/C][C]0.697392420261879[/C][/ROW]
[ROW][C]81[/C][C]0.26963657733457[/C][C]0.53927315466914[/C][C]0.73036342266543[/C][/ROW]
[ROW][C]82[/C][C]0.256219547116217[/C][C]0.512439094232433[/C][C]0.743780452883783[/C][/ROW]
[ROW][C]83[/C][C]0.226148058200629[/C][C]0.452296116401257[/C][C]0.773851941799371[/C][/ROW]
[ROW][C]84[/C][C]0.31670648888971[/C][C]0.63341297777942[/C][C]0.68329351111029[/C][/ROW]
[ROW][C]85[/C][C]0.28429921354827[/C][C]0.568598427096541[/C][C]0.71570078645173[/C][/ROW]
[ROW][C]86[/C][C]0.293737612431336[/C][C]0.587475224862672[/C][C]0.706262387568664[/C][/ROW]
[ROW][C]87[/C][C]0.262975143958645[/C][C]0.52595028791729[/C][C]0.737024856041355[/C][/ROW]
[ROW][C]88[/C][C]0.26073199577644[/C][C]0.52146399155288[/C][C]0.73926800422356[/C][/ROW]
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[ROW][C]127[/C][C]0.0110380961739281[/C][C]0.0220761923478562[/C][C]0.988961903826072[/C][/ROW]
[ROW][C]128[/C][C]0.0094180519967715[/C][C]0.018836103993543[/C][C]0.990581948003229[/C][/ROW]
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[ROW][C]225[/C][C]0.177684889618694[/C][C]0.355369779237389[/C][C]0.822315110381306[/C][/ROW]
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[ROW][C]227[/C][C]0.293756613949681[/C][C]0.587513227899363[/C][C]0.706243386050319[/C][/ROW]
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[ROW][C]231[/C][C]0.207666199367742[/C][C]0.415332398735484[/C][C]0.792333800632258[/C][/ROW]
[ROW][C]232[/C][C]0.186993788057784[/C][C]0.373987576115568[/C][C]0.813006211942216[/C][/ROW]
[ROW][C]233[/C][C]0.243499982729343[/C][C]0.486999965458686[/C][C]0.756500017270657[/C][/ROW]
[ROW][C]234[/C][C]0.222341649970337[/C][C]0.444683299940673[/C][C]0.777658350029663[/C][/ROW]
[ROW][C]235[/C][C]0.198263757843655[/C][C]0.396527515687311[/C][C]0.801736242156345[/C][/ROW]
[ROW][C]236[/C][C]0.169950969293184[/C][C]0.339901938586369[/C][C]0.830049030706816[/C][/ROW]
[ROW][C]237[/C][C]0.143264760545451[/C][C]0.286529521090903[/C][C]0.856735239454549[/C][/ROW]
[ROW][C]238[/C][C]0.138619266516336[/C][C]0.277238533032672[/C][C]0.861380733483664[/C][/ROW]
[ROW][C]239[/C][C]0.215632005472225[/C][C]0.431264010944451[/C][C]0.784367994527775[/C][/ROW]
[ROW][C]240[/C][C]0.184126608060866[/C][C]0.368253216121732[/C][C]0.815873391939134[/C][/ROW]
[ROW][C]241[/C][C]0.272026046192919[/C][C]0.544052092385838[/C][C]0.727973953807081[/C][/ROW]
[ROW][C]242[/C][C]0.257202287737104[/C][C]0.514404575474209[/C][C]0.742797712262895[/C][/ROW]
[ROW][C]243[/C][C]0.295428760922807[/C][C]0.590857521845613[/C][C]0.704571239077193[/C][/ROW]
[ROW][C]244[/C][C]0.257469792929257[/C][C]0.514939585858514[/C][C]0.742530207070743[/C][/ROW]
[ROW][C]245[/C][C]0.365380093550682[/C][C]0.730760187101364[/C][C]0.634619906449318[/C][/ROW]
[ROW][C]246[/C][C]0.3204662562101[/C][C]0.640932512420201[/C][C]0.6795337437899[/C][/ROW]
[ROW][C]247[/C][C]0.286827899721158[/C][C]0.573655799442316[/C][C]0.713172100278842[/C][/ROW]
[ROW][C]248[/C][C]0.283968390456886[/C][C]0.567936780913773[/C][C]0.716031609543114[/C][/ROW]
[ROW][C]249[/C][C]0.25654717851535[/C][C]0.5130943570307[/C][C]0.74345282148465[/C][/ROW]
[ROW][C]250[/C][C]0.232553404162423[/C][C]0.465106808324845[/C][C]0.767446595837577[/C][/ROW]
[ROW][C]251[/C][C]0.250479879428809[/C][C]0.500959758857617[/C][C]0.749520120571191[/C][/ROW]
[ROW][C]252[/C][C]0.21311425297349[/C][C]0.426228505946981[/C][C]0.78688574702651[/C][/ROW]
[ROW][C]253[/C][C]0.186262176623141[/C][C]0.372524353246282[/C][C]0.813737823376859[/C][/ROW]
[ROW][C]254[/C][C]0.152008846039477[/C][C]0.304017692078954[/C][C]0.847991153960523[/C][/ROW]
[ROW][C]255[/C][C]0.126234588639825[/C][C]0.252469177279651[/C][C]0.873765411360175[/C][/ROW]
[ROW][C]256[/C][C]0.1332513046736[/C][C]0.2665026093472[/C][C]0.8667486953264[/C][/ROW]
[ROW][C]257[/C][C]0.110841699956443[/C][C]0.221683399912885[/C][C]0.889158300043557[/C][/ROW]
[ROW][C]258[/C][C]0.155458939857979[/C][C]0.310917879715958[/C][C]0.844541060142021[/C][/ROW]
[ROW][C]259[/C][C]0.281221214073246[/C][C]0.562442428146492[/C][C]0.718778785926754[/C][/ROW]
[ROW][C]260[/C][C]0.248791428145115[/C][C]0.497582856290229[/C][C]0.751208571854885[/C][/ROW]
[ROW][C]261[/C][C]0.254630308578861[/C][C]0.509260617157722[/C][C]0.745369691421139[/C][/ROW]
[ROW][C]262[/C][C]0.219216288019854[/C][C]0.438432576039707[/C][C]0.780783711980146[/C][/ROW]
[ROW][C]263[/C][C]0.175033752970147[/C][C]0.350067505940294[/C][C]0.824966247029853[/C][/ROW]
[ROW][C]264[/C][C]0.200117252478817[/C][C]0.400234504957634[/C][C]0.799882747521183[/C][/ROW]
[ROW][C]265[/C][C]0.159218858796775[/C][C]0.318437717593549[/C][C]0.840781141203225[/C][/ROW]
[ROW][C]266[/C][C]0.124752776166925[/C][C]0.24950555233385[/C][C]0.875247223833075[/C][/ROW]
[ROW][C]267[/C][C]0.0934011751985609[/C][C]0.186802350397122[/C][C]0.906598824801439[/C][/ROW]
[ROW][C]268[/C][C]0.107360408853847[/C][C]0.214720817707695[/C][C]0.892639591146153[/C][/ROW]
[ROW][C]269[/C][C]0.0906797444901252[/C][C]0.18135948898025[/C][C]0.909320255509875[/C][/ROW]
[ROW][C]270[/C][C]0.13780575129768[/C][C]0.27561150259536[/C][C]0.86219424870232[/C][/ROW]
[ROW][C]271[/C][C]0.115076678986861[/C][C]0.230153357973722[/C][C]0.884923321013139[/C][/ROW]
[ROW][C]272[/C][C]0.0849609790417459[/C][C]0.169921958083492[/C][C]0.915039020958254[/C][/ROW]
[ROW][C]273[/C][C]0.0609160082736772[/C][C]0.121832016547354[/C][C]0.939083991726323[/C][/ROW]
[ROW][C]274[/C][C]0.0426361428399101[/C][C]0.0852722856798201[/C][C]0.95736385716009[/C][/ROW]
[ROW][C]275[/C][C]0.0537386107888611[/C][C]0.107477221577722[/C][C]0.946261389211139[/C][/ROW]
[ROW][C]276[/C][C]0.168508065398288[/C][C]0.337016130796576[/C][C]0.831491934601712[/C][/ROW]
[ROW][C]277[/C][C]0.115277142097385[/C][C]0.230554284194769[/C][C]0.884722857902615[/C][/ROW]
[ROW][C]278[/C][C]0.377569652707234[/C][C]0.755139305414468[/C][C]0.622430347292766[/C][/ROW]
[ROW][C]279[/C][C]0.278805287597045[/C][C]0.55761057519409[/C][C]0.721194712402955[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155389&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155389&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
100.04956197922342930.09912395844685850.950438020776571
110.03893820075249840.07787640150499680.961061799247502
120.01295183250760040.02590366501520070.9870481674924
130.006105381867663640.01221076373532730.993894618132336
140.00216560010228820.004331200204576390.997834399897712
150.0006602801023354340.001320560204670870.999339719897665
160.0002125396693808290.0004250793387616580.999787460330619
175.80325830651761e-050.0001160651661303520.999941967416935
184.17054512386963e-058.34109024773925e-050.999958294548761
191.18111219580198e-052.36222439160395e-050.999988188878042
202.32278860279544e-054.64557720559088e-050.999976772113972
213.47400600703473e-056.94801201406947e-050.99996525993993
221.1549806646735e-052.30996132934701e-050.999988450193353
234.06019198687376e-068.12038397374751e-060.999995939808013
242.00236663544683e-064.00473327089366e-060.999997997633364
250.000867755905588330.001735511811176660.999132244094412
260.0006175716640970790.001235143328194160.999382428335903
270.06949220197468140.1389844039493630.930507798025319
280.05162843252826090.1032568650565220.948371567471739
290.05113938236760740.1022787647352150.948860617632393
300.04226143141060440.08452286282120880.957738568589396
310.03221429389626320.06442858779252630.967785706103737
320.05153834679268410.1030766935853680.948461653207316
330.08468821433716750.1693764286743350.915311785662833
340.06648044102347840.1329608820469570.933519558976522
350.05260663152125320.1052132630425060.947393368478747
360.04359161285586920.08718322571173850.956408387144131
370.03692599920016810.07385199840033620.963074000799832
380.02673374833317580.05346749666635170.973266251666824
390.1222281161206610.2444562322413230.877771883879338
400.09869338706821320.1973867741364260.901306612931787
410.08594526577299720.1718905315459940.914054734227003
420.07689406067424290.1537881213484860.923105939325757
430.06103889272462540.1220777854492510.938961107275375
440.04661708681127360.09323417362254710.953382913188726
450.3490404442181520.6980808884363050.650959555781848
460.3559502774462050.7119005548924110.644049722553795
470.324119001974230.648238003948460.67588099802577
480.2874152688589250.574830537717850.712584731141075
490.2945718168175120.5891436336350240.705428183182488
500.2587209475715050.517441895143010.741279052428495
510.2322834001930870.4645668003861730.767716599806913
520.2201141588968380.4402283177936750.779885841103162
530.2046041075852150.4092082151704310.795395892414785
540.7172260494965420.5655479010069170.282773950503458
550.7713981760847050.457203647830590.228601823915295
560.7422543269782410.5154913460435180.257745673021759
570.7275760397386190.5448479205227630.272423960261381
580.6960374814076110.6079250371847780.303962518592389
590.7096229170253130.5807541659493730.290377082974687
600.8508480077006780.2983039845986450.149151992299322
610.8358809495058780.3282381009882430.164119050494122
620.8185348417871820.3629303164256350.181465158212818
630.791296748286570.4174065034268610.20870325171343
640.7618700867900560.4762598264198880.238129913209944
650.744617500218520.510764999562960.25538249978148
660.7164154239614630.5671691520770750.283584576038537
670.6964938038185530.6070123923628940.303506196181447
680.6622695552103990.6754608895792020.337730444789601
690.6426055471912290.7147889056175420.357394452808771
700.612382186262270.7752356274754590.38761781373773
710.5740779938040840.8518440123918330.425922006195916
720.5350910018679160.9298179962641680.464908998132084
730.4966759419224780.9933518838449570.503324058077522
740.457993639993520.915987279987040.54200636000648
750.4216041588410940.8432083176821870.578395841158906
760.3858576639196580.7717153278393170.614142336080342
770.360277768129680.720555536259360.63972223187032
780.3640739419762310.7281478839524610.635926058023769
790.3320898399656930.6641796799313860.667910160034307
800.3026075797381210.6052151594762420.697392420261879
810.269636577334570.539273154669140.73036342266543
820.2562195471162170.5124390942324330.743780452883783
830.2261480582006290.4522961164012570.773851941799371
840.316706488889710.633412977779420.68329351111029
850.284299213548270.5685984270965410.71570078645173
860.2937376124313360.5874752248626720.706262387568664
870.2629751439586450.525950287917290.737024856041355
880.260731995776440.521463991552880.73926800422356
890.2336271224655980.4672542449311960.766372877534402
900.2061780434088040.4123560868176090.793821956591196
910.1942008873109260.3884017746218520.805799112689074
920.1837911390236460.3675822780472920.816208860976354
930.1670067127434110.3340134254868220.832993287256589
940.1589430548503950.3178861097007890.841056945149605
950.1485460432904490.2970920865808980.851453956709551
960.1347269282104040.2694538564208080.865273071789596
970.1162202318101630.2324404636203260.883779768189837
980.1225402841227940.2450805682455880.877459715877206
990.1106135271578760.2212270543157530.889386472842124
1000.1010043674663410.2020087349326830.898995632533659
1010.08601208198349120.1720241639669820.913987918016509
1020.07986109846388820.1597221969277760.920138901536112
1030.07105217978268980.142104359565380.92894782021731
1040.07070331725453490.141406634509070.929296682745465
1050.06007410561828950.1201482112365790.93992589438171
1060.05149414633271210.1029882926654240.948505853667288
1070.07195616852608060.1439123370521610.928043831473919
1080.06077925976470720.1215585195294140.939220740235293
1090.05073342007309520.101466840146190.949266579926905
1100.04719121234763670.09438242469527350.952808787652363
1110.06008671116628120.1201734223325620.939913288833719
1120.05110160421243710.1022032084248740.948898395787563
1130.04256446839014310.08512893678028630.957435531609857
1140.03698323660161670.07396647320323340.963016763398383
1150.03038915952660850.06077831905321690.969610840473392
1160.02477836329791650.04955672659583290.975221636702084
1170.02011800111388220.04023600222776440.979881998886118
1180.02033838109934360.04067676219868720.979661618900656
1190.01898740093578750.03797480187157490.981012599064213
1200.01546289879379330.03092579758758650.984537101206207
1210.02009992502649050.04019985005298090.97990007497351
1220.01939230332359580.03878460664719150.980607696676404
1230.01569177997017210.03138355994034430.984308220029828
1240.01383251047225960.02766502094451930.98616748952774
1250.01224780566200950.02449561132401910.98775219433799
1260.01378566408140950.02757132816281910.98621433591859
1270.01103809617392810.02207619234785620.988961903826072
1280.00941805199677150.0188361039935430.990581948003229
1290.007453259490600420.01490651898120080.9925467405094
1300.005976637854554390.01195327570910880.994023362145446
1310.00491319350129380.009826387002587590.995086806498706
1320.003936483457384670.007872966914769340.996063516542615
1330.003500983546316770.007001967092633540.996499016453683
1340.003297942658036970.006595885316073940.996702057341963
1350.003075757499362940.006151514998725880.996924242500637
1360.002418487878651380.004836975757302760.997581512121349
1370.001887751618969870.003775503237939740.99811224838103
1380.001433562425104520.002867124850209040.998566437574895
1390.001113782819821660.002227565639643330.998886217180178
1400.0008507589205382350.001701517841076470.999149241079462
1410.02185799576954020.04371599153908030.97814200423046
1420.0181598261251110.03631965225022210.981840173874889
1430.03258686619651270.06517373239302540.967413133803487
1440.15723169172340.3144633834468010.8427683082766
1450.1574445037510570.3148890075021140.842555496248943
1460.1381896788793750.2763793577587490.861810321120625
1470.1249616704422180.2499233408844350.875038329557782
1480.1093532358659130.2187064717318260.890646764134087
1490.1156563583163980.2313127166327970.884343641683601
1500.1339255200160350.2678510400320690.866074479983965
1510.1165033538759830.2330067077519670.883496646124017
1520.1041521630245430.2083043260490850.895847836975457
1530.09582231471864860.1916446294372970.904177685281351
1540.08309916596525070.1661983319305010.916900834034749
1550.07129768102661780.1425953620532360.928702318973382
1560.06115423112848480.122308462256970.938845768871515
1570.1293195070783280.2586390141566550.870680492921672
1580.1497950622207540.2995901244415080.850204937779246
1590.1419303143221270.2838606286442550.858069685677873
1600.1259692216194320.2519384432388640.874030778380568
1610.1091743177176090.2183486354352170.890825682282391
1620.09484337444288740.1896867488857750.905156625557113
1630.08123026383995640.1624605276799130.918769736160044
1640.0776358137111460.1552716274222920.922364186288854
1650.07576210557749260.1515242111549850.924237894422507
1660.06429440302523360.1285888060504670.935705596974766
1670.08483480887472730.1696696177494550.915165191125273
1680.07743770576297910.1548754115259580.922562294237021
1690.0668677544650770.1337355089301540.933132245534923
1700.05729106990633990.114582139812680.94270893009366
1710.04808373803343520.09616747606687040.951916261966565
1720.04073122693090450.0814624538618090.959268773069096
1730.03734273268075110.07468546536150220.962657267319249
1740.03097486783232890.06194973566465790.969025132167671
1750.04733085590267170.09466171180534340.952669144097328
1760.04190570526196110.08381141052392220.958094294738039
1770.03557336292905440.07114672585810880.964426637070946
1780.03627041521236520.07254083042473050.963729584787635
1790.03140194350684690.06280388701369380.968598056493153
1800.04057646467116580.08115292934233150.959423535328834
1810.03431782663515090.06863565327030190.965682173364849
1820.03229628381423850.06459256762847690.967703716185762
1830.07473044508922940.1494608901784590.925269554910771
1840.06437805452239090.1287561090447820.935621945477609
1850.05748781540177340.1149756308035470.942512184598227
1860.06827555105815850.1365511021163170.931724448941842
1870.05976345516485370.1195269103297070.940236544835146
1880.05054659841092190.1010931968218440.949453401589078
1890.04270257485959630.08540514971919250.957297425140404
1900.03634623991938650.07269247983877310.963653760080613
1910.04307457961328110.08614915922656230.956925420386719
1920.03557874379485280.07115748758970570.964421256205147
1930.03715907717249180.07431815434498360.962840922827508
1940.03046428293165250.06092856586330490.969535717068348
1950.09036275808534860.1807255161706970.909637241914651
1960.07855774401372280.1571154880274460.921442255986277
1970.06612436319110790.1322487263822160.933875636808892
1980.05542554276977810.1108510855395560.944574457230222
1990.04764363718747410.09528727437494830.952356362812526
2000.2849797489437060.5699594978874130.715020251056294
2010.2629126218021350.5258252436042690.737087378197865
2020.242358664157470.484717328314940.75764133584253
2030.2142415144175490.4284830288350980.785758485582451
2040.1882223153454780.3764446306909550.811777684654522
2050.1697063128101750.3394126256203510.830293687189825
2060.1566027123585420.3132054247170850.843397287641458
2070.1386485419922340.2772970839844690.861351458007766
2080.1243064845332180.2486129690664360.875693515466782
2090.1063016116971780.2126032233943560.893698388302822
2100.110209542923590.220419085847180.88979045707641
2110.09638323324494890.1927664664898980.903616766755051
2120.09494521808589630.1898904361717930.905054781914104
2130.1422608407777870.2845216815555740.857739159222213
2140.1391209476736490.2782418953472990.860879052326351
2150.1199286864135560.2398573728271120.880071313586444
2160.1508844441799790.3017688883599590.849115555820021
2170.1292743913097370.2585487826194740.870725608690263
2180.1105038155968610.2210076311937220.889496184403139
2190.1992301547368430.3984603094736860.800769845263157
2200.1741853373920930.3483706747841860.825814662607907
2210.1603380427518540.3206760855037080.839661957248146
2220.1419408888072120.2838817776144250.858059111192788
2230.1219965876623630.2439931753247270.878003412337637
2240.1085801543087040.2171603086174070.891419845691297
2250.1776848896186940.3553697792373890.822315110381306
2260.1893222246957010.3786444493914020.810677775304299
2270.2937566139496810.5875132278993630.706243386050319
2280.2587612064484950.5175224128969910.741238793551505
2290.2337844031690310.4675688063380610.766215596830969
2300.2368989365795130.4737978731590260.763101063420487
2310.2076661993677420.4153323987354840.792333800632258
2320.1869937880577840.3739875761155680.813006211942216
2330.2434999827293430.4869999654586860.756500017270657
2340.2223416499703370.4446832999406730.777658350029663
2350.1982637578436550.3965275156873110.801736242156345
2360.1699509692931840.3399019385863690.830049030706816
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2400.1841266080608660.3682532161217320.815873391939134
2410.2720260461929190.5440520923858380.727973953807081
2420.2572022877371040.5144045754742090.742797712262895
2430.2954287609228070.5908575218456130.704571239077193
2440.2574697929292570.5149395858585140.742530207070743
2450.3653800935506820.7307601871013640.634619906449318
2460.32046625621010.6409325124202010.6795337437899
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2480.2839683904568860.5679367809137730.716031609543114
2490.256547178515350.51309435703070.74345282148465
2500.2325534041624230.4651068083248450.767446595837577
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2570.1108416999564430.2216833999128850.889158300043557
2580.1554589398579790.3109178797159580.844541060142021
2590.2812212140732460.5624424281464920.718778785926754
2600.2487914281451150.4975828562902290.751208571854885
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2720.08496097904174590.1699219580834920.915039020958254
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2740.04263614283991010.08527228567982010.95736385716009
2750.05373861078886110.1074772215777220.946261389211139
2760.1685080653982880.3370161307965760.831491934601712
2770.1152771420973850.2305542841947690.884722857902615
2780.3775696527072340.7551393054144680.622430347292766
2790.2788052875970450.557610575194090.721194712402955






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level230.0851851851851852NOK
5% type I error level420.155555555555556NOK
10% type I error level750.277777777777778NOK

\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 & 23 & 0.0851851851851852 & NOK \tabularnewline
5% type I error level & 42 & 0.155555555555556 & NOK \tabularnewline
10% type I error level & 75 & 0.277777777777778 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155389&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]23[/C][C]0.0851851851851852[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]42[/C][C]0.155555555555556[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]75[/C][C]0.277777777777778[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155389&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155389&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 level230.0851851851851852NOK
5% type I error level420.155555555555556NOK
10% type I error level750.277777777777778NOK


Figures (Output of Computation)

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Input Parameters & R Code

Parameters (Session):
par1 = 2 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 2 ; 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')
}