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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationSun, 11 Dec 2011 09:26:04 -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/11/t1323613590gt89s9w4dmftx0u.htm/, Retrieved Sun, 28 Apr 2024 21:35:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=153770, Retrieved Sun, 28 Apr 2024 21:35:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact119
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kendall tau Correlation Matrix] [] [2010-12-05 17:44:33] [b98453cac15ba1066b407e146608df68]
- RMPD  [Kendall tau Correlation Matrix] [WS10: pearson] [2011-12-11 13:35:32] [17977ad44e8eb3a4dcd5a9173c81cab3]
- RMP       [Multiple Regression] [WS10: MR] [2011-12-11 14:26:04] [dfccbb29b87008a80f95a64515f2b3fe] [Current]
- RM          [Recursive Partitioning (Regression Trees)] [WS10: RT] [2011-12-11 14:37:25] [17977ad44e8eb3a4dcd5a9173c81cab3]
-   P           [Recursive Partitioning (Regression Trees)] [Paper: RP] [2011-12-18 13:50:11] [17977ad44e8eb3a4dcd5a9173c81cab3]
- R P           [Recursive Partitioning (Regression Trees)] [] [2011-12-21 23:09:13] [3931071255a6f7f4a767409781cc5f7d]
-                 [Recursive Partitioning (Regression Trees)] [] [2011-12-21 23:13:35] [3931071255a6f7f4a767409781cc5f7d]
-                   [Recursive Partitioning (Regression Trees)] [] [2011-12-22 14:46:12] [3931071255a6f7f4a767409781cc5f7d]
- RM          [Recursive Partitioning (Regression Trees)] [WS10: RP2] [2011-12-11 15:20:26] [17977ad44e8eb3a4dcd5a9173c81cab3]
- R P           [Recursive Partitioning (Regression Trees)] [] [2011-12-22 14:27:33] [3931071255a6f7f4a767409781cc5f7d]
- RMPD          [Kendall tau Correlation Matrix] [pearson] [2011-12-22 16:25:44] [141ef847e2c5f8e947fe4eabcb0cf143]
- RMPD          [Kendall tau Correlation Matrix] [Pearson] [2011-12-22 16:31:12] [141ef847e2c5f8e947fe4eabcb0cf143]
- RMPD          [Kendall tau Correlation Matrix] [Kendall] [2011-12-22 16:47:26] [141ef847e2c5f8e947fe4eabcb0cf143]
- R PD          [Recursive Partitioning (Regression Trees)] [regression trees] [2011-12-22 17:19:01] [141ef847e2c5f8e947fe4eabcb0cf143]
-                 [Recursive Partitioning (Regression Trees)] [categorie] [2011-12-22 18:35:16] [141ef847e2c5f8e947fe4eabcb0cf143]
-                 [Recursive Partitioning (Regression Trees)] [cross validation] [2011-12-22 19:04:08] [141ef847e2c5f8e947fe4eabcb0cf143]
- RM          [Recursive Partitioning (Regression Trees)] [WS10: RP3] [2011-12-11 15:23:29] [17977ad44e8eb3a4dcd5a9173c81cab3]
- R P           [Recursive Partitioning (Regression Trees)] [] [2011-12-22 14:29:48] [3931071255a6f7f4a767409781cc5f7d]
-                 [Recursive Partitioning (Regression Trees)] [] [2011-12-22 14:48:48] [3931071255a6f7f4a767409781cc5f7d]
- R PD        [Multiple Regression] [Multiple regression] [2011-12-21 14:53:29] [d95291bc5e09a8bed20558da95617a33]
- R P           [Multiple Regression] [Multiple Regression] [2011-12-21 14:56:20] [b8fde34a99ee6a7d49500940cae4da2a]
- RMPD        [Recursive Partitioning (Regression Trees)] [recursive partiti...] [2011-12-21 15:07:18] [d95291bc5e09a8bed20558da95617a33]
- RM D          [Multiple Regression] [Multiple regression] [2011-12-21 15:43:22] [d95291bc5e09a8bed20558da95617a33]
- R P             [Multiple Regression] [Multiple Regressi...] [2011-12-21 15:45:05] [b8fde34a99ee6a7d49500940cae4da2a]
- R P         [Multiple Regression] [] [2011-12-21 23:01:36] [3931071255a6f7f4a767409781cc5f7d]
-               [Multiple Regression] [] [2011-12-21 23:10:54] [3931071255a6f7f4a767409781cc5f7d]
-  M              [Multiple Regression] [] [2011-12-22 14:43:54] [3931071255a6f7f4a767409781cc5f7d]
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Dataseries X:
1418	210907	56	3	79	30	112285
869	120982	56	4	58	28	84786
1530	176508	54	12	60	38	83123
2172	179321	89	2	108	30	101193
901	123185	40	1	49	22	38361
463	52746	25	3	0	26	68504
3201	385534	92	0	121	25	119182
371	33170	18	0	1	18	22807
1192	101645	63	0	20	11	17140
1583	149061	44	5	43	26	116174
1439	165446	33	0	69	25	57635
1764	237213	84	0	78	38	66198
1495	173326	88	7	86	44	71701
1373	133131	55	7	44	30	57793
2187	258873	60	3	104	40	80444
1491	180083	66	9	63	34	53855
4041	324799	154	0	158	47	97668
1706	230964	53	4	102	30	133824
2152	236785	119	3	77	31	101481
1036	135473	41	0	82	23	99645
1882	202925	61	7	115	36	114789
1929	215147	58	0	101	36	99052
2242	344297	75	1	80	30	67654
1220	153935	33	5	50	25	65553
1289	132943	40	7	83	39	97500
2515	174724	92	0	123	34	69112
2147	174415	100	0	73	31	82753
2352	225548	112	5	81	31	85323
1638	223632	73	0	105	33	72654
1222	124817	40	0	47	25	30727
1812	221698	45	0	105	33	77873
1677	210767	60	3	94	35	117478
1579	170266	62	4	44	42	74007
1731	260561	75	1	114	43	90183
807	84853	31	4	38	30	61542
2452	294424	77	2	107	33	101494
829	101011	34	0	30	13	27570
1940	215641	46	0	71	32	55813
2662	325107	99	0	84	36	79215
186	7176	17	0	0	0	1423
1499	167542	66	2	59	28	55461
865	106408	30	1	33	14	31081
1793	96560	76	0	42	17	22996
2527	265769	146	2	96	32	83122
2747	269651	67	10	106	30	70106
1324	149112	56	6	56	35	60578
2702	175824	107	0	57	20	39992
1383	152871	58	5	59	28	79892
1179	111665	34	4	39	28	49810
2099	116408	61	1	34	39	71570
4308	362301	119	2	76	34	100708
918	78800	42	2	20	26	33032
1831	183167	66	0	91	39	82875
3373	277965	89	8	115	39	139077
1713	150629	44	3	85	33	71595
1438	168809	66	0	76	28	72260
496	24188	24	0	8	4	5950
2253	329267	259	8	79	39	115762
744	65029	17	5	21	18	32551
1161	101097	64	3	30	14	31701
2352	218946	41	1	76	29	80670
2144	244052	68	5	101	44	143558
4691	341570	168	1	94	21	117105
1112	103597	43	1	27	16	23789
2694	233328	132	5	92	28	120733
1973	256462	105	0	123	35	105195
1769	206161	71	12	75	28	73107
3148	311473	112	8	128	38	132068
2474	235800	94	8	105	23	149193
2084	177939	82	8	55	36	46821
1954	207176	70	8	56	32	87011
1226	196553	57	2	41	29	95260
1389	174184	53	0	72	25	55183
1496	143246	103	5	67	27	106671
2269	187559	121	8	75	36	73511
1833	187681	62	2	114	28	92945
1268	119016	52	5	118	23	78664
1943	182192	52	12	77	40	70054
893	73566	32	6	22	23	22618
1762	194979	62	7	66	40	74011
1403	167488	45	2	69	28	83737
1425	143756	46	0	105	34	69094
1857	275541	63	4	116	33	93133
1840	243199	75	3	88	28	95536
1502	182999	88	6	73	34	225920
1441	135649	46	2	99	30	62133
1420	152299	53	0	62	33	61370
1416	120221	37	1	53	22	43836
2970	346485	90	0	118	38	106117
1317	145790	63	5	30	26	38692
1644	193339	78	2	100	35	84651
870	80953	25	0	49	8	56622
1654	122774	45	0	24	24	15986
1054	130585	46	5	67	29	95364
937	112611	41	0	46	20	26706
3004	286468	144	1	57	29	89691
2008	241066	82	0	75	45	67267
2547	148446	91	1	135	37	126846
1885	204713	71	1	68	33	41140
1626	182079	63	2	124	33	102860
1468	140344	53	6	33	25	51715
2445	220516	62	1	98	32	55801
1964	243060	63	4	58	29	111813
1381	162765	32	2	68	28	120293
1369	182613	39	3	81	28	138599
1659	232138	62	0	131	31	161647
2888	265318	117	10	110	52	115929
1290	85574	34	0	37	21	24266
2845	310839	92	9	130	24	162901
1982	225060	93	7	93	41	109825
1904	232317	54	0	118	33	129838
1391	144966	144	0	39	32	37510
602	43287	14	4	13	19	43750
1743	155754	61	4	74	20	40652
1559	164709	109	0	81	31	87771
2014	201940	38	0	109	31	85872
2143	235454	73	0	151	32	89275
2146	220801	75	1	51	18	44418
874	99466	50	0	28	23	192565
1590	92661	61	1	40	17	35232
1590	133328	55	0	56	20	40909
1210	61361	77	0	27	12	13294
2072	125930	75	4	37	17	32387
1281	100750	72	0	83	30	140867
1401	224549	50	4	54	31	120662
834	82316	32	4	27	10	21233
1105	102010	53	3	28	13	44332
1272	101523	42	0	59	22	61056
1944	243511	71	0	133	42	101338
391	22938	10	0	12	1	1168
761	41566	35	5	0	9	13497
1605	152474	65	0	106	32	65567
530	61857	25	4	23	11	25162
1988	99923	66	0	44	25	32334
1386	132487	41	0	71	36	40735
2395	317394	86	1	116	31	91413
387	21054	16	0	4	0	855
1742	209641	42	5	62	24	97068
620	22648	19	0	12	13	44339
449	31414	19	0	18	8	14116
800	46698	45	0	14	13	10288
1684	131698	65	0	60	19	65622
1050	91735	35	0	7	18	16563
2699	244749	95	2	98	33	76643
1606	184510	49	7	64	40	110681
1502	79863	37	1	29	22	29011
1204	128423	64	8	32	38	92696
1138	97839	38	2	25	24	94785
568	38214	34	0	16	8	8773
1459	151101	32	2	48	35	83209
2158	272458	65	0	100	43	93815
1111	172494	52	0	46	43	86687
1421	108043	62	1	45	14	34553
2833	328107	65	3	129	41	105547
1955	250579	83	0	130	38	103487
2922	351067	95	3	136	45	213688
1002	158015	29	0	59	31	71220
1060	98866	18	0	25	13	23517
956	85439	33	0	32	28	56926
2186	229242	247	4	63	31	91721
3604	351619	139	4	95	40	115168
1035	84207	29	11	14	30	111194
1417	120445	118	0	36	16	51009
3261	324598	110	0	113	37	135777
1587	131069	67	4	47	30	51513
1424	204271	42	0	92	35	74163
1701	165543	65	1	70	32	51633
1249	141722	94	0	19	27	75345
946	116048	64	0	50	20	33416
1926	250047	81	0	41	18	83305
3352	299775	95	9	91	31	98952
1641	195838	67	1	111	31	102372
2035	173260	63	3	41	21	37238
2312	254488	83	10	120	39	103772
1369	104389	45	5	135	41	123969
1577	136084	30	0	27	13	27142
2201	199476	70	2	87	32	135400
961	92499	32	0	25	18	21399
1900	224330	83	1	131	39	130115
1254	135781	31	2	45	14	24874
1335	74408	67	4	29	7	34988
1597	81240	66	0	58	17	45549
207	14688	10	0	4	0	6023
1645	181633	70	2	47	30	64466
2429	271856	103	1	109	37	54990
151	7199	5	0	7	0	1644
474	46660	20	0	12	5	6179
141	17547	5	0	0	1	3926
1639	133368	36	1	37	16	32755
872	95227	34	0	37	32	34777
1318	152601	48	2	46	24	73224
1018	98146	40	0	15	17	27114
1383	79619	43	3	42	11	20760
1314	59194	31	6	7	24	37636
1335	139942	42	0	54	22	65461
1403	118612	46	2	54	12	30080
910	72880	33	0	14	19	24094
616	65475	18	2	16	13	69008
1407	99643	55	1	33	17	54968
771	71965	35	1	32	15	46090
766	77272	59	2	21	16	27507
473	49289	19	1	15	24	10672
1376	135131	66	0	38	15	34029
1232	108446	60	1	22	17	46300
1521	89746	36	3	28	18	24760
572	44296	25	0	10	20	18779
1059	77648	47	0	31	16	21280
1544	181528	54	0	32	16	40662
1230	134019	53	0	32	18	28987
1206	124064	40	1	43	22	22827
1205	92630	40	4	27	8	18513
1255	121848	39	0	37	17	30594
613	52915	14	0	20	18	24006
721	81872	45	0	32	16	27913
1109	58981	36	7	0	23	42744
740	53515	28	2	5	22	12934
1126	60812	44	0	26	13	22574
728	56375	30	7	10	13	41385
689	65490	22	3	27	16	18653
592	80949	17	0	11	16	18472
995	76302	31	0	29	20	30976
1613	104011	55	6	25	22	63339
2048	98104	54	2	55	17	25568
705	67989	21	0	23	18	33747
301	30989	14	0	5	17	4154
1803	135458	81	3	43	12	19474
799	73504	35	0	23	7	35130
861	63123	43	1	34	17	39067
1186	61254	46	1	36	14	13310
1451	74914	30	0	35	23	65892
628	31774	23	1	0	17	4143
1161	81437	38	0	37	14	28579
1463	87186	54	0	28	15	51776
742	50090	20	0	16	17	21152
979	65745	53	0	26	21	38084
675	56653	45	0	38	18	27717
1241	158399	39	0	23	18	32928
676	46455	20	0	22	17	11342
1049	73624	24	0	30	17	19499
620	38395	31	0	16	16	16380
1081	91899	35	0	18	15	36874
1688	139526	151	0	28	21	48259
736	52164	52	0	32	16	16734
617	51567	30	2	21	14	28207
812	70551	31	0	23	15	30143
1051	84856	29	1	29	17	41369
1656	102538	57	1	50	15	45833
705	86678	40	0	12	15	29156
945	85709	44	0	21	10	35944
554	34662	25	0	18	6	36278
1597	150580	77	0	27	22	45588
982	99611	35	0	41	21	45097
222	19349	11	0	13	1	3895
1212	99373	63	1	12	18	28394
1143	86230	44	0	21	17	18632
435	30837	19	0	8	4	2325
532	31706	13	0	26	10	25139
882	89806	42	0	27	16	27975
608	62088	38	1	13	16	14483
459	40151	29	0	16	9	13127
578	27634	20	0	2	16	5839
826	76990	27	0	42	17	24069
509	37460	20	0	5	7	3738
717	54157	19	0	37	15	18625
637	49862	37	0	17	14	36341
857	84337	26	0	38	14	24548
830	64175	42	0	37	18	21792
652	59382	49	0	29	12	26263
707	119308	30	0	32	16	23686
954	76702	49	0	35	21	49303
1461	103425	67	1	17	19	25659
672	70344	28	0	20	16	28904
778	43410	19	0	7	1	2781
1141	104838	49	1	46	16	29236
680	62215	27	0	24	10	19546
1090	69304	30	6	40	19	22818
616	53117	22	3	3	12	32689
285	19764	12	1	10	2	5752
1145	86680	31	2	37	14	22197
733	84105	20	0	17	17	20055
888	77945	20	0	28	19	25272
849	89113	39	0	19	14	82206
1182	91005	29	3	29	11	32073
528	40248	16	1	8	4	5444
642	64187	27	0	10	16	20154
947	50857	21	0	15	20	36944
819	56613	19	1	15	12	8019
757	62792	35	0	28	15	30884
894	72535	14	0	17	16	19540




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=153770&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=153770&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153770&T=0

As an alternative you can also use a 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
totsize[t] = -278.395639082987 -10.6874050962482pageviews[t] + 0.173435619449412time[t] + 71.4209960111051logins[t] + 2235.72346610234shared[t] + 419.874986828501blogged[t] + 810.264470087121reviewed[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
totsize[t] =  -278.395639082987 -10.6874050962482pageviews[t] +  0.173435619449412time[t] +  71.4209960111051logins[t] +  2235.72346610234shared[t] +  419.874986828501blogged[t] +  810.264470087121reviewed[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=153770&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]totsize[t] =  -278.395639082987 -10.6874050962482pageviews[t] +  0.173435619449412time[t] +  71.4209960111051logins[t] +  2235.72346610234shared[t] +  419.874986828501blogged[t] +  810.264470087121reviewed[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=153770&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153770&T=1

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Estimated Regression Equation
totsize[t] = -278.395639082987 -10.6874050962482pageviews[t] + 0.173435619449412time[t] + 71.4209960111051logins[t] + 2235.72346610234shared[t] + 419.874986828501blogged[t] + 810.264470087121reviewed[t] + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-278.3956390829873712.365118-0.0750.9402750.470137
pageviews-10.68740509624824.536715-2.35580.019170.009585
time0.1734356194494120.0456813.79660.000189e-05
logins71.420996011105163.2220071.12970.2595690.129784
shared2235.72346610234551.7220124.05236.6e-053.3e-05
blogged419.87498682850173.2518815.731900
reviewed810.264470087121224.2864873.61260.0003590.000179

\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) & -278.395639082987 & 3712.365118 & -0.075 & 0.940275 & 0.470137 \tabularnewline
pageviews & -10.6874050962482 & 4.536715 & -2.3558 & 0.01917 & 0.009585 \tabularnewline
time & 0.173435619449412 & 0.045681 & 3.7966 & 0.00018 & 9e-05 \tabularnewline
logins & 71.4209960111051 & 63.222007 & 1.1297 & 0.259569 & 0.129784 \tabularnewline
shared & 2235.72346610234 & 551.722012 & 4.0523 & 6.6e-05 & 3.3e-05 \tabularnewline
blogged & 419.874986828501 & 73.251881 & 5.7319 & 0 & 0 \tabularnewline
reviewed & 810.264470087121 & 224.286487 & 3.6126 & 0.000359 & 0.000179 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=153770&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]-278.395639082987[/C][C]3712.365118[/C][C]-0.075[/C][C]0.940275[/C][C]0.470137[/C][/ROW]
[ROW][C]pageviews[/C][C]-10.6874050962482[/C][C]4.536715[/C][C]-2.3558[/C][C]0.01917[/C][C]0.009585[/C][/ROW]
[ROW][C]time[/C][C]0.173435619449412[/C][C]0.045681[/C][C]3.7966[/C][C]0.00018[/C][C]9e-05[/C][/ROW]
[ROW][C]logins[/C][C]71.4209960111051[/C][C]63.222007[/C][C]1.1297[/C][C]0.259569[/C][C]0.129784[/C][/ROW]
[ROW][C]shared[/C][C]2235.72346610234[/C][C]551.722012[/C][C]4.0523[/C][C]6.6e-05[/C][C]3.3e-05[/C][/ROW]
[ROW][C]blogged[/C][C]419.874986828501[/C][C]73.251881[/C][C]5.7319[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]reviewed[/C][C]810.264470087121[/C][C]224.286487[/C][C]3.6126[/C][C]0.000359[/C][C]0.000179[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=153770&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153770&T=2

As an alternative you can also use a 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)-278.3956390829873712.365118-0.0750.9402750.470137
pageviews-10.68740509624824.536715-2.35580.019170.009585
time0.1734356194494120.0456813.79660.000189e-05
logins71.420996011105163.2220071.12970.2595690.129784
shared2235.72346610234551.7220124.05236.6e-053.3e-05
blogged419.87498682850173.2518815.731900
reviewed810.264470087121224.2864873.61260.0003590.000179







Multiple Linear Regression - Regression Statistics
Multiple R0.822287403964787
R-squared0.676156574719149
Adjusted R-squared0.669266289074875
F-TEST (value)98.1318641384784
F-TEST (DF numerator)6
F-TEST (DF denominator)282
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation23247.8673932868
Sum Squared Residuals152410661410.709

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.822287403964787 \tabularnewline
R-squared & 0.676156574719149 \tabularnewline
Adjusted R-squared & 0.669266289074875 \tabularnewline
F-TEST (value) & 98.1318641384784 \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 & 23247.8673932868 \tabularnewline
Sum Squared Residuals & 152410661410.709 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=153770&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.822287403964787[/C][/ROW]
[ROW][C]R-squared[/C][C]0.676156574719149[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.669266289074875[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]98.1318641384784[/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]23247.8673932868[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]152410661410.709[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=153770&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153770&T=3

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Regression Statistics
Multiple R0.822287403964787
R-squared0.676156574719149
Adjusted R-squared0.669266289074875
F-TEST (value)98.1318641384784
F-TEST (DF numerator)6
F-TEST (DF denominator)282
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation23247.8673932868
Sum Squared Residuals152410661410.709







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
111228589330.454362648422954.5456373516
28478671399.461484029813386.5385159702
383123100650.613332283-17527.6133322825
410119388091.557464438713101.4425355613
53836154949.1751541329-16588.1751541329
66850433480.942505682635023.0574943174
7119182110008.7655480849173.23445191561
82280717799.64994394255007.35005605748
91714026421.0126813526-9281.01268135263
1011617462098.570775195954075.4292248041
115763564621.5366345543-6986.53663455432
126619891549.867868455-25351.867868455
1371701107500.833381493-35799.8333814927
145779370498.1071830827-12705.1071830827
1580444108316.056121772-27872.0561217721
165385593855.9031045311-40000.9031045311
1797668128287.027527236-30619.0275272356
18133824101409.6650893532414.3349106498
1910148190444.103227243711036.8967727563
209964568139.388923270231505.6110767298
21114789112264.2204743582524.77952564245
229905292139.06550939596912.9344906041
2367654100964.036820532-33310.0368205316
246555368166.6535159207-2613.65351592067
259750093959.43309164013540.56690835987
266911288910.4927124212-19798.4927124212
278275369936.691397833212816.3086021668
288532392008.726059682-6685.72605968201
297265497040.7231006516-24386.7231006516
303072751156.8850196807-20429.8850196808
317787392845.9022375783-14972.9022375783
3211747897173.266592904620304.7334070954
337400778252.9836763257-4245.98367632569
3490183116711.6834578-26528.6834578001
356154257233.5294082364308.47059176404
36101494106215.910614274-4721.91061427444
372757033938.652472697-6368.65247269699
385581375412.8218120084-19599.8218120084
397921599166.5643488741-19951.5643488741
401423192.4779503726281230.52204962737
415546169404.1967296929-13943.1967296929
423108138509.8668400311-7428.86684003107
432299634143.2715725013-11147.2715725013
448312299943.7169562986-16821.7169562986
4570106113087.514881879-42981.5148818787
466057880718.9843895063-20140.9843895063
473999249118.590369083-9126.59036908304
487989274235.26417813355656.73582186646
494981056921.5795757968-7111.57957579684
507157049946.502761105721623.4972388943
5110070888946.198007875611761.8019921244
523303240512.7980186811-7480.7980186811
538287586443.3716089012-3568.37160890124
54139077116010.2131240123066.78687599
557159579816.3089691825-8221.30896918254
567226072942.2992142863-682.299214286272
5759506929.87387566332-979.873875663317
58115762133903.770776864-18141.7707768636
593255138843.4293141514-6292.42931415135
603170140065.4141927425-8364.41419274253
618067073130.01564456247539.98435543756
62143558113229.37304520730328.6269547925
6311710579545.64501942937559.354980571
642378935412.3022223331-11623.3022223331
6512073393319.214001155827413.7859988442
66105195110618.084355375-5423.08435537526
6773107102648.846971558-29541.8469715576
68132068130517.1532741161550.84672588445
69149193101499.40100182947693.5989981707
704682184314.9674299779-37493.9674299779
718701187096.8324526794-85.8324526794029
729526069963.124819889725296.8751801103
735518369359.4322128233-14176.4322128233
7410667177120.949810097529550.0501899025
757351195189.1667272785-21678.1667272785
769294592134.8636591608810.136340839182
777866489885.4287641215-11221.4287641215
7870054105838.084812719-35784.084812719
792261846509.861581583-23891.861581583
807401194907.1941755254-20896.1941755254
818373773119.731047534310617.2689524657
826909484345.6944247985-15251.6944247985
8393133116550.359713985-23417.3597139846
849553693936.29730078521599.70269921479
8522592093306.9212970091132613.078702991
866213381479.7925072674-19346.7925072674
876137067515.8500156012-6145.85001560119
884383650396.3353127978-6560.33531279777
89106117114836.039780063-8719.03978006251
903869260272.7367150194-21580.7367150194
918465196072.419368385-11421.419368385
925662233305.210644040523316.7893559595
931598636075.3128604793-20089.3128604793
949536477198.446652331518165.5533476685
952670647686.0639598589-20980.063959859
968969177251.285257674112439.7147423259
976726793879.7728048112-26612.7728048112
9812684693644.550263744333201.4497362557
994114077677.2125189405-36537.2125189405
100102860101697.063388661162.9366113397
1015171559685.2821583541-7970.2821583541
1025580185576.2649298685-29775.2649298685
10311181382179.637896948229633.3621030518
10412029371187.369594019349105.6304059807
10513859982952.013896956755646.9861030432
106161647106802.12073391254844.8792660883
107115929133905.462314019-17976.4623140194
1082426635755.6737343825-11489.6737343825
109162901123948.82977386538952.1702261346
110109825112134.021913809-2309.02191380942
11112983899805.537604527230032.4623954728
1123751062585.9028358378-25075.9028358378
1134375031591.481721072912158.5182789271
1144065268682.3617980184-28030.3617980184
1158777178539.30833077919231.69166922096
1168587286819.3294741167-947.329474116729
11789275112197.924344201-22922.9243442011
1184441858671.8741911749-14253.8741911749
11919256541595.3918747084150969.608125292
1203523235961.2478790852-729.247879085209
1214090949498.8979725828-8589.89797258284
1221329423991.2422177622-10697.2422177622
1233238743027.3876281331-10640.3876281331
12414086767804.546814330173062.4531856699
12512066283998.736259223736663.2637407763
1262123335752.4700432493-14519.4700432493
1274433238386.61019882355945.38980117654
1286105649333.053869116611722.9461308834
129101338116124.141690194-14786.1416901944
13011686084.06947935478-4916.06947935478
1311349719768.2464623909-6271.24646239089
1326556784090.3182086991-18523.3182086991
1332516234083.9394048886-8921.93940488858
1343233439250.1473411842-6916.14734118422
1354073569795.7316359265-29060.7316359265
13691413111374.320322793-19961.3203227934
1378552059.32800404858-1204.32800404858
1389706877120.257008682919947.7429913171
1394433913952.31998781930386.680012181
1401411615768.1304699064-1652.13046990639
1411028818896.4095881984-8608.40958819843
1426562249795.027271170915826.9727288291
1431656324433.5657898046-7870.5657898046
1447664392467.410206095-15824.410206095
14511068192990.508948722817690.4910512772
1462901132400.7040608971-3389.70406089705
1479269675809.872096938116886.1279030619
1489478541656.771666127753128.2283338723
149877315907.2564422184-7134.25644221844
1508320965605.150485293817603.8495147062
15193815105383.341804479-11568.3418044794
1528668775634.014440726811052.9855592732
1533455340175.2085586142-5622.20855861424
154105547125083.878227411-19536.8782274115
155103487113588.792303703-10101.7923037034
156213688136437.59366488577250.406335115
1577122068380.28554167952839.71445832051
1582351727855.7316214245-4338.73162142449
1595692642802.908588359914123.0914116401
1609172194271.8677163892-2550.86771638918
161115168113356.5703313671811.42966863331
16211119460114.984222937251079.0157770628
1635100941974.41310064819034.58689935188
164135777106448.80001015729328.1999898425
1655151363262.8847594927-11749.8847594927
1667416389918.0439981481-15755.0439981481
1675163372451.1813703199-20818.1813703199
1687534547521.017322450327823.9826775497
1693341651508.1583936098-18092.1583936098
1708330560089.454080446323215.5459195537
17198952106122.413488811-7170.4134888109
17210237294894.10974921847477.89025078163
1733723853459.3118946618-16221.3118946618
174103772129420.097783596-25648.0977835961
175123969107491.84630928916477.1536907111
1762714230482.0719971227-3340.07199712266
17713540082723.372919215152676.6270807849
1782139932860.7364315097-11461.7364315097
179130115113089.95093208717025.0490679126
1802487446792.4350117335-21918.4350117335
1813498829935.24263520735052.75736479269
1824554939584.75911054595964.24088945407
18360232450.443791891663572.55620810834
1846446667155.429981579-2689.42998157898
18554990106249.656155946-51259.6561559457
18616442652.59910365489-1008.59910365489
187617913266.5224614047-7087.52246140465
18839262425.32450696751500.6754930325
1893275538642.194459446-5887.194459446
1903477750810.0922701177-16033.0922701177
1917322458762.304824601314461.6951753987
1922711428793.2989137711-1679.29891377113
1932076035075.6255422884-14315.6255422884
1943763633958.56598498413677.43401501589
1956546153223.595477537412237.4045224626
1963008045451.9563835145-15371.9563835145
1972409426266.2212844251-2172.2212844251
1986900827502.322765871541505.6772341285
1995496835760.319622828319207.6803771717
2004609034288.334341696411801.6656583035
2012750735403.6611849382-7896.6611849382
2021067232552.1244722655-21880.1244722655
2033402941275.2659278208-7246.26592782078
2044630034895.849397626911404.1506023731
2052476034650.8006601035-9890.80066010346
2061877923480.4770152993-4701.47701529927
2072128031207.7142685975-9927.71426859753
2084066244960.6369042283-4298.6369042283
2092898741625.8372041913-12638.8372041913
2102282749322.7165883023-26495.7165883023
2111851332527.096759457-14014.096759457
2123059439536.9836723662-8942.98367236618
2132400626329.7249823762-2323.72498237618
2142791335829.68224249-7916.68224249002
2154274434955.98131104357788.0186889565
2161293427490.7598611034-14556.7598611034
2172257422827.2647056614-253.264705661427
2184138534243.4886197767141.51138022396
2191865336295.5694436588-17642.5694436588
2201847226231.1138114448-7759.11381144477
2213097632916.8358214923-1940.83582149231
2226333946187.220745075517151.7792549245
2232556840044.3277181188-14476.3277181188
2243374729720.4241736654026.57582633498
225415418753.0567078432-14599.0567078432
2261947444215.5242616375-24741.5242616375
2273513021759.290309078313370.7096909217
2283906734824.59701778254242.4029822175
2291331029650.2587401799-16340.2587401799
2306589232681.272793028633210.7272069714
231414316173.5596986976-12030.5596986976
2322857931030.6785275709-2451.67852757085
2335177626974.289089526924801.7109104731
2342115222399.8556586811-1247.85565868109
2353808432378.77589035085705.22410964923
2362771736087.208851168-8370.20885116796
2373292840957.8673246972-8029.86732469721
2381134224994.0358393059-13652.0358393059
2391949929364.3899618988-9865.38996189878
2401638021650.7559969975-5270.75599699753
2413687426318.531118262710555.4688817373
2424825945436.66669845322822.33330154683
2431673431016.8927555209-14282.8927555209
2442820728846.1841218358-639.184121835756
2453014327304.63043524552838.36956475445
2464136933463.99748869147905.00251130856
2474583339261.4397001016571.560299899
2482915627269.34312439121886.6568756088
2493594424549.543301110511394.4566988895
2503627814017.268862664422260.7311373356
2514558843431.61367804242156.38632195761
2524509743232.83123756341864.16876243658
25338957759.07648525638-3864.07648525638
2542839430361.7937141228-1967.79371412278
2551863228195.6483403963-9563.64834039634
25623258377.87404019806-6052.87404019806
2572513919482.72190653265656.27809346736
2582797533171.4103045299-5196.41030452988
2591448327364.260467462-12881.260467462
2601312717861.2878826146-4734.28788261459
261583913569.4055384237-7730.40553842367
2622406937584.2284234042-13515.2284234042
26337389978.25961647612-6240.25961647612
2641862530497.8282376012-11872.8282376012
2653634122685.728381308613655.2716186914
2662454834345.4360079288-9797.43600792883
2672179235101.1058158862-13309.1058158862
2682626328451.5472559243-2188.54725592431
2692368641400.7268233791-17714.7268233791
2704930338039.485997476311263.5140025237
2712565931598.71436344-5939.71436344005
2722890428101.3424970626802.657502937431
27327814042.03173843254-1261.03173843254
2742923643723.7518040867-14487.7518040867
2751954623352.4772365685-3806.47723656848
2762281847839.1100580711-25021.1100580711
2773268921611.773532004811077.2264679952
27857529015.52971797932-3263.52971797932
2792219736082.499922011-13885.499922011
2802005528815.3298869476-8760.32988694756
2812527232329.5724765085-7057.57247650847
2828220628210.111965592153995.8880344079
2833207332740.2631567593-667.26315675931
284544411037.6084589544-5593.60845895442
2852015423083.9506767039-2929.95067670388
2863694422424.302153511914519.6978464881
287801920401.3511447656-12382.3511447656
2883088428931.80966241811952.19033758187
2891954023849.2171032682-4309.21710326816

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 112285 & 89330.4543626484 & 22954.5456373516 \tabularnewline
2 & 84786 & 71399.4614840298 & 13386.5385159702 \tabularnewline
3 & 83123 & 100650.613332283 & -17527.6133322825 \tabularnewline
4 & 101193 & 88091.5574644387 & 13101.4425355613 \tabularnewline
5 & 38361 & 54949.1751541329 & -16588.1751541329 \tabularnewline
6 & 68504 & 33480.9425056826 & 35023.0574943174 \tabularnewline
7 & 119182 & 110008.765548084 & 9173.23445191561 \tabularnewline
8 & 22807 & 17799.6499439425 & 5007.35005605748 \tabularnewline
9 & 17140 & 26421.0126813526 & -9281.01268135263 \tabularnewline
10 & 116174 & 62098.5707751959 & 54075.4292248041 \tabularnewline
11 & 57635 & 64621.5366345543 & -6986.53663455432 \tabularnewline
12 & 66198 & 91549.867868455 & -25351.867868455 \tabularnewline
13 & 71701 & 107500.833381493 & -35799.8333814927 \tabularnewline
14 & 57793 & 70498.1071830827 & -12705.1071830827 \tabularnewline
15 & 80444 & 108316.056121772 & -27872.0561217721 \tabularnewline
16 & 53855 & 93855.9031045311 & -40000.9031045311 \tabularnewline
17 & 97668 & 128287.027527236 & -30619.0275272356 \tabularnewline
18 & 133824 & 101409.66508935 & 32414.3349106498 \tabularnewline
19 & 101481 & 90444.1032272437 & 11036.8967727563 \tabularnewline
20 & 99645 & 68139.3889232702 & 31505.6110767298 \tabularnewline
21 & 114789 & 112264.220474358 & 2524.77952564245 \tabularnewline
22 & 99052 & 92139.0655093959 & 6912.9344906041 \tabularnewline
23 & 67654 & 100964.036820532 & -33310.0368205316 \tabularnewline
24 & 65553 & 68166.6535159207 & -2613.65351592067 \tabularnewline
25 & 97500 & 93959.4330916401 & 3540.56690835987 \tabularnewline
26 & 69112 & 88910.4927124212 & -19798.4927124212 \tabularnewline
27 & 82753 & 69936.6913978332 & 12816.3086021668 \tabularnewline
28 & 85323 & 92008.726059682 & -6685.72605968201 \tabularnewline
29 & 72654 & 97040.7231006516 & -24386.7231006516 \tabularnewline
30 & 30727 & 51156.8850196807 & -20429.8850196808 \tabularnewline
31 & 77873 & 92845.9022375783 & -14972.9022375783 \tabularnewline
32 & 117478 & 97173.2665929046 & 20304.7334070954 \tabularnewline
33 & 74007 & 78252.9836763257 & -4245.98367632569 \tabularnewline
34 & 90183 & 116711.6834578 & -26528.6834578001 \tabularnewline
35 & 61542 & 57233.529408236 & 4308.47059176404 \tabularnewline
36 & 101494 & 106215.910614274 & -4721.91061427444 \tabularnewline
37 & 27570 & 33938.652472697 & -6368.65247269699 \tabularnewline
38 & 55813 & 75412.8218120084 & -19599.8218120084 \tabularnewline
39 & 79215 & 99166.5643488741 & -19951.5643488741 \tabularnewline
40 & 1423 & 192.477950372628 & 1230.52204962737 \tabularnewline
41 & 55461 & 69404.1967296929 & -13943.1967296929 \tabularnewline
42 & 31081 & 38509.8668400311 & -7428.86684003107 \tabularnewline
43 & 22996 & 34143.2715725013 & -11147.2715725013 \tabularnewline
44 & 83122 & 99943.7169562986 & -16821.7169562986 \tabularnewline
45 & 70106 & 113087.514881879 & -42981.5148818787 \tabularnewline
46 & 60578 & 80718.9843895063 & -20140.9843895063 \tabularnewline
47 & 39992 & 49118.590369083 & -9126.59036908304 \tabularnewline
48 & 79892 & 74235.2641781335 & 5656.73582186646 \tabularnewline
49 & 49810 & 56921.5795757968 & -7111.57957579684 \tabularnewline
50 & 71570 & 49946.5027611057 & 21623.4972388943 \tabularnewline
51 & 100708 & 88946.1980078756 & 11761.8019921244 \tabularnewline
52 & 33032 & 40512.7980186811 & -7480.7980186811 \tabularnewline
53 & 82875 & 86443.3716089012 & -3568.37160890124 \tabularnewline
54 & 139077 & 116010.21312401 & 23066.78687599 \tabularnewline
55 & 71595 & 79816.3089691825 & -8221.30896918254 \tabularnewline
56 & 72260 & 72942.2992142863 & -682.299214286272 \tabularnewline
57 & 5950 & 6929.87387566332 & -979.873875663317 \tabularnewline
58 & 115762 & 133903.770776864 & -18141.7707768636 \tabularnewline
59 & 32551 & 38843.4293141514 & -6292.42931415135 \tabularnewline
60 & 31701 & 40065.4141927425 & -8364.41419274253 \tabularnewline
61 & 80670 & 73130.0156445624 & 7539.98435543756 \tabularnewline
62 & 143558 & 113229.373045207 & 30328.6269547925 \tabularnewline
63 & 117105 & 79545.645019429 & 37559.354980571 \tabularnewline
64 & 23789 & 35412.3022223331 & -11623.3022223331 \tabularnewline
65 & 120733 & 93319.2140011558 & 27413.7859988442 \tabularnewline
66 & 105195 & 110618.084355375 & -5423.08435537526 \tabularnewline
67 & 73107 & 102648.846971558 & -29541.8469715576 \tabularnewline
68 & 132068 & 130517.153274116 & 1550.84672588445 \tabularnewline
69 & 149193 & 101499.401001829 & 47693.5989981707 \tabularnewline
70 & 46821 & 84314.9674299779 & -37493.9674299779 \tabularnewline
71 & 87011 & 87096.8324526794 & -85.8324526794029 \tabularnewline
72 & 95260 & 69963.1248198897 & 25296.8751801103 \tabularnewline
73 & 55183 & 69359.4322128233 & -14176.4322128233 \tabularnewline
74 & 106671 & 77120.9498100975 & 29550.0501899025 \tabularnewline
75 & 73511 & 95189.1667272785 & -21678.1667272785 \tabularnewline
76 & 92945 & 92134.8636591608 & 810.136340839182 \tabularnewline
77 & 78664 & 89885.4287641215 & -11221.4287641215 \tabularnewline
78 & 70054 & 105838.084812719 & -35784.084812719 \tabularnewline
79 & 22618 & 46509.861581583 & -23891.861581583 \tabularnewline
80 & 74011 & 94907.1941755254 & -20896.1941755254 \tabularnewline
81 & 83737 & 73119.7310475343 & 10617.2689524657 \tabularnewline
82 & 69094 & 84345.6944247985 & -15251.6944247985 \tabularnewline
83 & 93133 & 116550.359713985 & -23417.3597139846 \tabularnewline
84 & 95536 & 93936.2973007852 & 1599.70269921479 \tabularnewline
85 & 225920 & 93306.9212970091 & 132613.078702991 \tabularnewline
86 & 62133 & 81479.7925072674 & -19346.7925072674 \tabularnewline
87 & 61370 & 67515.8500156012 & -6145.85001560119 \tabularnewline
88 & 43836 & 50396.3353127978 & -6560.33531279777 \tabularnewline
89 & 106117 & 114836.039780063 & -8719.03978006251 \tabularnewline
90 & 38692 & 60272.7367150194 & -21580.7367150194 \tabularnewline
91 & 84651 & 96072.419368385 & -11421.419368385 \tabularnewline
92 & 56622 & 33305.2106440405 & 23316.7893559595 \tabularnewline
93 & 15986 & 36075.3128604793 & -20089.3128604793 \tabularnewline
94 & 95364 & 77198.4466523315 & 18165.5533476685 \tabularnewline
95 & 26706 & 47686.0639598589 & -20980.063959859 \tabularnewline
96 & 89691 & 77251.2852576741 & 12439.7147423259 \tabularnewline
97 & 67267 & 93879.7728048112 & -26612.7728048112 \tabularnewline
98 & 126846 & 93644.5502637443 & 33201.4497362557 \tabularnewline
99 & 41140 & 77677.2125189405 & -36537.2125189405 \tabularnewline
100 & 102860 & 101697.06338866 & 1162.9366113397 \tabularnewline
101 & 51715 & 59685.2821583541 & -7970.2821583541 \tabularnewline
102 & 55801 & 85576.2649298685 & -29775.2649298685 \tabularnewline
103 & 111813 & 82179.6378969482 & 29633.3621030518 \tabularnewline
104 & 120293 & 71187.3695940193 & 49105.6304059807 \tabularnewline
105 & 138599 & 82952.0138969567 & 55646.9861030432 \tabularnewline
106 & 161647 & 106802.120733912 & 54844.8792660883 \tabularnewline
107 & 115929 & 133905.462314019 & -17976.4623140194 \tabularnewline
108 & 24266 & 35755.6737343825 & -11489.6737343825 \tabularnewline
109 & 162901 & 123948.829773865 & 38952.1702261346 \tabularnewline
110 & 109825 & 112134.021913809 & -2309.02191380942 \tabularnewline
111 & 129838 & 99805.5376045272 & 30032.4623954728 \tabularnewline
112 & 37510 & 62585.9028358378 & -25075.9028358378 \tabularnewline
113 & 43750 & 31591.4817210729 & 12158.5182789271 \tabularnewline
114 & 40652 & 68682.3617980184 & -28030.3617980184 \tabularnewline
115 & 87771 & 78539.3083307791 & 9231.69166922096 \tabularnewline
116 & 85872 & 86819.3294741167 & -947.329474116729 \tabularnewline
117 & 89275 & 112197.924344201 & -22922.9243442011 \tabularnewline
118 & 44418 & 58671.8741911749 & -14253.8741911749 \tabularnewline
119 & 192565 & 41595.3918747084 & 150969.608125292 \tabularnewline
120 & 35232 & 35961.2478790852 & -729.247879085209 \tabularnewline
121 & 40909 & 49498.8979725828 & -8589.89797258284 \tabularnewline
122 & 13294 & 23991.2422177622 & -10697.2422177622 \tabularnewline
123 & 32387 & 43027.3876281331 & -10640.3876281331 \tabularnewline
124 & 140867 & 67804.5468143301 & 73062.4531856699 \tabularnewline
125 & 120662 & 83998.7362592237 & 36663.2637407763 \tabularnewline
126 & 21233 & 35752.4700432493 & -14519.4700432493 \tabularnewline
127 & 44332 & 38386.6101988235 & 5945.38980117654 \tabularnewline
128 & 61056 & 49333.0538691166 & 11722.9461308834 \tabularnewline
129 & 101338 & 116124.141690194 & -14786.1416901944 \tabularnewline
130 & 1168 & 6084.06947935478 & -4916.06947935478 \tabularnewline
131 & 13497 & 19768.2464623909 & -6271.24646239089 \tabularnewline
132 & 65567 & 84090.3182086991 & -18523.3182086991 \tabularnewline
133 & 25162 & 34083.9394048886 & -8921.93940488858 \tabularnewline
134 & 32334 & 39250.1473411842 & -6916.14734118422 \tabularnewline
135 & 40735 & 69795.7316359265 & -29060.7316359265 \tabularnewline
136 & 91413 & 111374.320322793 & -19961.3203227934 \tabularnewline
137 & 855 & 2059.32800404858 & -1204.32800404858 \tabularnewline
138 & 97068 & 77120.2570086829 & 19947.7429913171 \tabularnewline
139 & 44339 & 13952.319987819 & 30386.680012181 \tabularnewline
140 & 14116 & 15768.1304699064 & -1652.13046990639 \tabularnewline
141 & 10288 & 18896.4095881984 & -8608.40958819843 \tabularnewline
142 & 65622 & 49795.0272711709 & 15826.9727288291 \tabularnewline
143 & 16563 & 24433.5657898046 & -7870.5657898046 \tabularnewline
144 & 76643 & 92467.410206095 & -15824.410206095 \tabularnewline
145 & 110681 & 92990.5089487228 & 17690.4910512772 \tabularnewline
146 & 29011 & 32400.7040608971 & -3389.70406089705 \tabularnewline
147 & 92696 & 75809.8720969381 & 16886.1279030619 \tabularnewline
148 & 94785 & 41656.7716661277 & 53128.2283338723 \tabularnewline
149 & 8773 & 15907.2564422184 & -7134.25644221844 \tabularnewline
150 & 83209 & 65605.1504852938 & 17603.8495147062 \tabularnewline
151 & 93815 & 105383.341804479 & -11568.3418044794 \tabularnewline
152 & 86687 & 75634.0144407268 & 11052.9855592732 \tabularnewline
153 & 34553 & 40175.2085586142 & -5622.20855861424 \tabularnewline
154 & 105547 & 125083.878227411 & -19536.8782274115 \tabularnewline
155 & 103487 & 113588.792303703 & -10101.7923037034 \tabularnewline
156 & 213688 & 136437.593664885 & 77250.406335115 \tabularnewline
157 & 71220 & 68380.2855416795 & 2839.71445832051 \tabularnewline
158 & 23517 & 27855.7316214245 & -4338.73162142449 \tabularnewline
159 & 56926 & 42802.9085883599 & 14123.0914116401 \tabularnewline
160 & 91721 & 94271.8677163892 & -2550.86771638918 \tabularnewline
161 & 115168 & 113356.570331367 & 1811.42966863331 \tabularnewline
162 & 111194 & 60114.9842229372 & 51079.0157770628 \tabularnewline
163 & 51009 & 41974.4131006481 & 9034.58689935188 \tabularnewline
164 & 135777 & 106448.800010157 & 29328.1999898425 \tabularnewline
165 & 51513 & 63262.8847594927 & -11749.8847594927 \tabularnewline
166 & 74163 & 89918.0439981481 & -15755.0439981481 \tabularnewline
167 & 51633 & 72451.1813703199 & -20818.1813703199 \tabularnewline
168 & 75345 & 47521.0173224503 & 27823.9826775497 \tabularnewline
169 & 33416 & 51508.1583936098 & -18092.1583936098 \tabularnewline
170 & 83305 & 60089.4540804463 & 23215.5459195537 \tabularnewline
171 & 98952 & 106122.413488811 & -7170.4134888109 \tabularnewline
172 & 102372 & 94894.1097492184 & 7477.89025078163 \tabularnewline
173 & 37238 & 53459.3118946618 & -16221.3118946618 \tabularnewline
174 & 103772 & 129420.097783596 & -25648.0977835961 \tabularnewline
175 & 123969 & 107491.846309289 & 16477.1536907111 \tabularnewline
176 & 27142 & 30482.0719971227 & -3340.07199712266 \tabularnewline
177 & 135400 & 82723.3729192151 & 52676.6270807849 \tabularnewline
178 & 21399 & 32860.7364315097 & -11461.7364315097 \tabularnewline
179 & 130115 & 113089.950932087 & 17025.0490679126 \tabularnewline
180 & 24874 & 46792.4350117335 & -21918.4350117335 \tabularnewline
181 & 34988 & 29935.2426352073 & 5052.75736479269 \tabularnewline
182 & 45549 & 39584.7591105459 & 5964.24088945407 \tabularnewline
183 & 6023 & 2450.44379189166 & 3572.55620810834 \tabularnewline
184 & 64466 & 67155.429981579 & -2689.42998157898 \tabularnewline
185 & 54990 & 106249.656155946 & -51259.6561559457 \tabularnewline
186 & 1644 & 2652.59910365489 & -1008.59910365489 \tabularnewline
187 & 6179 & 13266.5224614047 & -7087.52246140465 \tabularnewline
188 & 3926 & 2425.3245069675 & 1500.6754930325 \tabularnewline
189 & 32755 & 38642.194459446 & -5887.194459446 \tabularnewline
190 & 34777 & 50810.0922701177 & -16033.0922701177 \tabularnewline
191 & 73224 & 58762.3048246013 & 14461.6951753987 \tabularnewline
192 & 27114 & 28793.2989137711 & -1679.29891377113 \tabularnewline
193 & 20760 & 35075.6255422884 & -14315.6255422884 \tabularnewline
194 & 37636 & 33958.5659849841 & 3677.43401501589 \tabularnewline
195 & 65461 & 53223.5954775374 & 12237.4045224626 \tabularnewline
196 & 30080 & 45451.9563835145 & -15371.9563835145 \tabularnewline
197 & 24094 & 26266.2212844251 & -2172.2212844251 \tabularnewline
198 & 69008 & 27502.3227658715 & 41505.6772341285 \tabularnewline
199 & 54968 & 35760.3196228283 & 19207.6803771717 \tabularnewline
200 & 46090 & 34288.3343416964 & 11801.6656583035 \tabularnewline
201 & 27507 & 35403.6611849382 & -7896.6611849382 \tabularnewline
202 & 10672 & 32552.1244722655 & -21880.1244722655 \tabularnewline
203 & 34029 & 41275.2659278208 & -7246.26592782078 \tabularnewline
204 & 46300 & 34895.8493976269 & 11404.1506023731 \tabularnewline
205 & 24760 & 34650.8006601035 & -9890.80066010346 \tabularnewline
206 & 18779 & 23480.4770152993 & -4701.47701529927 \tabularnewline
207 & 21280 & 31207.7142685975 & -9927.71426859753 \tabularnewline
208 & 40662 & 44960.6369042283 & -4298.6369042283 \tabularnewline
209 & 28987 & 41625.8372041913 & -12638.8372041913 \tabularnewline
210 & 22827 & 49322.7165883023 & -26495.7165883023 \tabularnewline
211 & 18513 & 32527.096759457 & -14014.096759457 \tabularnewline
212 & 30594 & 39536.9836723662 & -8942.98367236618 \tabularnewline
213 & 24006 & 26329.7249823762 & -2323.72498237618 \tabularnewline
214 & 27913 & 35829.68224249 & -7916.68224249002 \tabularnewline
215 & 42744 & 34955.9813110435 & 7788.0186889565 \tabularnewline
216 & 12934 & 27490.7598611034 & -14556.7598611034 \tabularnewline
217 & 22574 & 22827.2647056614 & -253.264705661427 \tabularnewline
218 & 41385 & 34243.488619776 & 7141.51138022396 \tabularnewline
219 & 18653 & 36295.5694436588 & -17642.5694436588 \tabularnewline
220 & 18472 & 26231.1138114448 & -7759.11381144477 \tabularnewline
221 & 30976 & 32916.8358214923 & -1940.83582149231 \tabularnewline
222 & 63339 & 46187.2207450755 & 17151.7792549245 \tabularnewline
223 & 25568 & 40044.3277181188 & -14476.3277181188 \tabularnewline
224 & 33747 & 29720.424173665 & 4026.57582633498 \tabularnewline
225 & 4154 & 18753.0567078432 & -14599.0567078432 \tabularnewline
226 & 19474 & 44215.5242616375 & -24741.5242616375 \tabularnewline
227 & 35130 & 21759.2903090783 & 13370.7096909217 \tabularnewline
228 & 39067 & 34824.5970177825 & 4242.4029822175 \tabularnewline
229 & 13310 & 29650.2587401799 & -16340.2587401799 \tabularnewline
230 & 65892 & 32681.2727930286 & 33210.7272069714 \tabularnewline
231 & 4143 & 16173.5596986976 & -12030.5596986976 \tabularnewline
232 & 28579 & 31030.6785275709 & -2451.67852757085 \tabularnewline
233 & 51776 & 26974.2890895269 & 24801.7109104731 \tabularnewline
234 & 21152 & 22399.8556586811 & -1247.85565868109 \tabularnewline
235 & 38084 & 32378.7758903508 & 5705.22410964923 \tabularnewline
236 & 27717 & 36087.208851168 & -8370.20885116796 \tabularnewline
237 & 32928 & 40957.8673246972 & -8029.86732469721 \tabularnewline
238 & 11342 & 24994.0358393059 & -13652.0358393059 \tabularnewline
239 & 19499 & 29364.3899618988 & -9865.38996189878 \tabularnewline
240 & 16380 & 21650.7559969975 & -5270.75599699753 \tabularnewline
241 & 36874 & 26318.5311182627 & 10555.4688817373 \tabularnewline
242 & 48259 & 45436.6666984532 & 2822.33330154683 \tabularnewline
243 & 16734 & 31016.8927555209 & -14282.8927555209 \tabularnewline
244 & 28207 & 28846.1841218358 & -639.184121835756 \tabularnewline
245 & 30143 & 27304.6304352455 & 2838.36956475445 \tabularnewline
246 & 41369 & 33463.9974886914 & 7905.00251130856 \tabularnewline
247 & 45833 & 39261.439700101 & 6571.560299899 \tabularnewline
248 & 29156 & 27269.3431243912 & 1886.6568756088 \tabularnewline
249 & 35944 & 24549.5433011105 & 11394.4566988895 \tabularnewline
250 & 36278 & 14017.2688626644 & 22260.7311373356 \tabularnewline
251 & 45588 & 43431.6136780424 & 2156.38632195761 \tabularnewline
252 & 45097 & 43232.8312375634 & 1864.16876243658 \tabularnewline
253 & 3895 & 7759.07648525638 & -3864.07648525638 \tabularnewline
254 & 28394 & 30361.7937141228 & -1967.79371412278 \tabularnewline
255 & 18632 & 28195.6483403963 & -9563.64834039634 \tabularnewline
256 & 2325 & 8377.87404019806 & -6052.87404019806 \tabularnewline
257 & 25139 & 19482.7219065326 & 5656.27809346736 \tabularnewline
258 & 27975 & 33171.4103045299 & -5196.41030452988 \tabularnewline
259 & 14483 & 27364.260467462 & -12881.260467462 \tabularnewline
260 & 13127 & 17861.2878826146 & -4734.28788261459 \tabularnewline
261 & 5839 & 13569.4055384237 & -7730.40553842367 \tabularnewline
262 & 24069 & 37584.2284234042 & -13515.2284234042 \tabularnewline
263 & 3738 & 9978.25961647612 & -6240.25961647612 \tabularnewline
264 & 18625 & 30497.8282376012 & -11872.8282376012 \tabularnewline
265 & 36341 & 22685.7283813086 & 13655.2716186914 \tabularnewline
266 & 24548 & 34345.4360079288 & -9797.43600792883 \tabularnewline
267 & 21792 & 35101.1058158862 & -13309.1058158862 \tabularnewline
268 & 26263 & 28451.5472559243 & -2188.54725592431 \tabularnewline
269 & 23686 & 41400.7268233791 & -17714.7268233791 \tabularnewline
270 & 49303 & 38039.4859974763 & 11263.5140025237 \tabularnewline
271 & 25659 & 31598.71436344 & -5939.71436344005 \tabularnewline
272 & 28904 & 28101.3424970626 & 802.657502937431 \tabularnewline
273 & 2781 & 4042.03173843254 & -1261.03173843254 \tabularnewline
274 & 29236 & 43723.7518040867 & -14487.7518040867 \tabularnewline
275 & 19546 & 23352.4772365685 & -3806.47723656848 \tabularnewline
276 & 22818 & 47839.1100580711 & -25021.1100580711 \tabularnewline
277 & 32689 & 21611.7735320048 & 11077.2264679952 \tabularnewline
278 & 5752 & 9015.52971797932 & -3263.52971797932 \tabularnewline
279 & 22197 & 36082.499922011 & -13885.499922011 \tabularnewline
280 & 20055 & 28815.3298869476 & -8760.32988694756 \tabularnewline
281 & 25272 & 32329.5724765085 & -7057.57247650847 \tabularnewline
282 & 82206 & 28210.1119655921 & 53995.8880344079 \tabularnewline
283 & 32073 & 32740.2631567593 & -667.26315675931 \tabularnewline
284 & 5444 & 11037.6084589544 & -5593.60845895442 \tabularnewline
285 & 20154 & 23083.9506767039 & -2929.95067670388 \tabularnewline
286 & 36944 & 22424.3021535119 & 14519.6978464881 \tabularnewline
287 & 8019 & 20401.3511447656 & -12382.3511447656 \tabularnewline
288 & 30884 & 28931.8096624181 & 1952.19033758187 \tabularnewline
289 & 19540 & 23849.2171032682 & -4309.21710326816 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=153770&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]112285[/C][C]89330.4543626484[/C][C]22954.5456373516[/C][/ROW]
[ROW][C]2[/C][C]84786[/C][C]71399.4614840298[/C][C]13386.5385159702[/C][/ROW]
[ROW][C]3[/C][C]83123[/C][C]100650.613332283[/C][C]-17527.6133322825[/C][/ROW]
[ROW][C]4[/C][C]101193[/C][C]88091.5574644387[/C][C]13101.4425355613[/C][/ROW]
[ROW][C]5[/C][C]38361[/C][C]54949.1751541329[/C][C]-16588.1751541329[/C][/ROW]
[ROW][C]6[/C][C]68504[/C][C]33480.9425056826[/C][C]35023.0574943174[/C][/ROW]
[ROW][C]7[/C][C]119182[/C][C]110008.765548084[/C][C]9173.23445191561[/C][/ROW]
[ROW][C]8[/C][C]22807[/C][C]17799.6499439425[/C][C]5007.35005605748[/C][/ROW]
[ROW][C]9[/C][C]17140[/C][C]26421.0126813526[/C][C]-9281.01268135263[/C][/ROW]
[ROW][C]10[/C][C]116174[/C][C]62098.5707751959[/C][C]54075.4292248041[/C][/ROW]
[ROW][C]11[/C][C]57635[/C][C]64621.5366345543[/C][C]-6986.53663455432[/C][/ROW]
[ROW][C]12[/C][C]66198[/C][C]91549.867868455[/C][C]-25351.867868455[/C][/ROW]
[ROW][C]13[/C][C]71701[/C][C]107500.833381493[/C][C]-35799.8333814927[/C][/ROW]
[ROW][C]14[/C][C]57793[/C][C]70498.1071830827[/C][C]-12705.1071830827[/C][/ROW]
[ROW][C]15[/C][C]80444[/C][C]108316.056121772[/C][C]-27872.0561217721[/C][/ROW]
[ROW][C]16[/C][C]53855[/C][C]93855.9031045311[/C][C]-40000.9031045311[/C][/ROW]
[ROW][C]17[/C][C]97668[/C][C]128287.027527236[/C][C]-30619.0275272356[/C][/ROW]
[ROW][C]18[/C][C]133824[/C][C]101409.66508935[/C][C]32414.3349106498[/C][/ROW]
[ROW][C]19[/C][C]101481[/C][C]90444.1032272437[/C][C]11036.8967727563[/C][/ROW]
[ROW][C]20[/C][C]99645[/C][C]68139.3889232702[/C][C]31505.6110767298[/C][/ROW]
[ROW][C]21[/C][C]114789[/C][C]112264.220474358[/C][C]2524.77952564245[/C][/ROW]
[ROW][C]22[/C][C]99052[/C][C]92139.0655093959[/C][C]6912.9344906041[/C][/ROW]
[ROW][C]23[/C][C]67654[/C][C]100964.036820532[/C][C]-33310.0368205316[/C][/ROW]
[ROW][C]24[/C][C]65553[/C][C]68166.6535159207[/C][C]-2613.65351592067[/C][/ROW]
[ROW][C]25[/C][C]97500[/C][C]93959.4330916401[/C][C]3540.56690835987[/C][/ROW]
[ROW][C]26[/C][C]69112[/C][C]88910.4927124212[/C][C]-19798.4927124212[/C][/ROW]
[ROW][C]27[/C][C]82753[/C][C]69936.6913978332[/C][C]12816.3086021668[/C][/ROW]
[ROW][C]28[/C][C]85323[/C][C]92008.726059682[/C][C]-6685.72605968201[/C][/ROW]
[ROW][C]29[/C][C]72654[/C][C]97040.7231006516[/C][C]-24386.7231006516[/C][/ROW]
[ROW][C]30[/C][C]30727[/C][C]51156.8850196807[/C][C]-20429.8850196808[/C][/ROW]
[ROW][C]31[/C][C]77873[/C][C]92845.9022375783[/C][C]-14972.9022375783[/C][/ROW]
[ROW][C]32[/C][C]117478[/C][C]97173.2665929046[/C][C]20304.7334070954[/C][/ROW]
[ROW][C]33[/C][C]74007[/C][C]78252.9836763257[/C][C]-4245.98367632569[/C][/ROW]
[ROW][C]34[/C][C]90183[/C][C]116711.6834578[/C][C]-26528.6834578001[/C][/ROW]
[ROW][C]35[/C][C]61542[/C][C]57233.529408236[/C][C]4308.47059176404[/C][/ROW]
[ROW][C]36[/C][C]101494[/C][C]106215.910614274[/C][C]-4721.91061427444[/C][/ROW]
[ROW][C]37[/C][C]27570[/C][C]33938.652472697[/C][C]-6368.65247269699[/C][/ROW]
[ROW][C]38[/C][C]55813[/C][C]75412.8218120084[/C][C]-19599.8218120084[/C][/ROW]
[ROW][C]39[/C][C]79215[/C][C]99166.5643488741[/C][C]-19951.5643488741[/C][/ROW]
[ROW][C]40[/C][C]1423[/C][C]192.477950372628[/C][C]1230.52204962737[/C][/ROW]
[ROW][C]41[/C][C]55461[/C][C]69404.1967296929[/C][C]-13943.1967296929[/C][/ROW]
[ROW][C]42[/C][C]31081[/C][C]38509.8668400311[/C][C]-7428.86684003107[/C][/ROW]
[ROW][C]43[/C][C]22996[/C][C]34143.2715725013[/C][C]-11147.2715725013[/C][/ROW]
[ROW][C]44[/C][C]83122[/C][C]99943.7169562986[/C][C]-16821.7169562986[/C][/ROW]
[ROW][C]45[/C][C]70106[/C][C]113087.514881879[/C][C]-42981.5148818787[/C][/ROW]
[ROW][C]46[/C][C]60578[/C][C]80718.9843895063[/C][C]-20140.9843895063[/C][/ROW]
[ROW][C]47[/C][C]39992[/C][C]49118.590369083[/C][C]-9126.59036908304[/C][/ROW]
[ROW][C]48[/C][C]79892[/C][C]74235.2641781335[/C][C]5656.73582186646[/C][/ROW]
[ROW][C]49[/C][C]49810[/C][C]56921.5795757968[/C][C]-7111.57957579684[/C][/ROW]
[ROW][C]50[/C][C]71570[/C][C]49946.5027611057[/C][C]21623.4972388943[/C][/ROW]
[ROW][C]51[/C][C]100708[/C][C]88946.1980078756[/C][C]11761.8019921244[/C][/ROW]
[ROW][C]52[/C][C]33032[/C][C]40512.7980186811[/C][C]-7480.7980186811[/C][/ROW]
[ROW][C]53[/C][C]82875[/C][C]86443.3716089012[/C][C]-3568.37160890124[/C][/ROW]
[ROW][C]54[/C][C]139077[/C][C]116010.21312401[/C][C]23066.78687599[/C][/ROW]
[ROW][C]55[/C][C]71595[/C][C]79816.3089691825[/C][C]-8221.30896918254[/C][/ROW]
[ROW][C]56[/C][C]72260[/C][C]72942.2992142863[/C][C]-682.299214286272[/C][/ROW]
[ROW][C]57[/C][C]5950[/C][C]6929.87387566332[/C][C]-979.873875663317[/C][/ROW]
[ROW][C]58[/C][C]115762[/C][C]133903.770776864[/C][C]-18141.7707768636[/C][/ROW]
[ROW][C]59[/C][C]32551[/C][C]38843.4293141514[/C][C]-6292.42931415135[/C][/ROW]
[ROW][C]60[/C][C]31701[/C][C]40065.4141927425[/C][C]-8364.41419274253[/C][/ROW]
[ROW][C]61[/C][C]80670[/C][C]73130.0156445624[/C][C]7539.98435543756[/C][/ROW]
[ROW][C]62[/C][C]143558[/C][C]113229.373045207[/C][C]30328.6269547925[/C][/ROW]
[ROW][C]63[/C][C]117105[/C][C]79545.645019429[/C][C]37559.354980571[/C][/ROW]
[ROW][C]64[/C][C]23789[/C][C]35412.3022223331[/C][C]-11623.3022223331[/C][/ROW]
[ROW][C]65[/C][C]120733[/C][C]93319.2140011558[/C][C]27413.7859988442[/C][/ROW]
[ROW][C]66[/C][C]105195[/C][C]110618.084355375[/C][C]-5423.08435537526[/C][/ROW]
[ROW][C]67[/C][C]73107[/C][C]102648.846971558[/C][C]-29541.8469715576[/C][/ROW]
[ROW][C]68[/C][C]132068[/C][C]130517.153274116[/C][C]1550.84672588445[/C][/ROW]
[ROW][C]69[/C][C]149193[/C][C]101499.401001829[/C][C]47693.5989981707[/C][/ROW]
[ROW][C]70[/C][C]46821[/C][C]84314.9674299779[/C][C]-37493.9674299779[/C][/ROW]
[ROW][C]71[/C][C]87011[/C][C]87096.8324526794[/C][C]-85.8324526794029[/C][/ROW]
[ROW][C]72[/C][C]95260[/C][C]69963.1248198897[/C][C]25296.8751801103[/C][/ROW]
[ROW][C]73[/C][C]55183[/C][C]69359.4322128233[/C][C]-14176.4322128233[/C][/ROW]
[ROW][C]74[/C][C]106671[/C][C]77120.9498100975[/C][C]29550.0501899025[/C][/ROW]
[ROW][C]75[/C][C]73511[/C][C]95189.1667272785[/C][C]-21678.1667272785[/C][/ROW]
[ROW][C]76[/C][C]92945[/C][C]92134.8636591608[/C][C]810.136340839182[/C][/ROW]
[ROW][C]77[/C][C]78664[/C][C]89885.4287641215[/C][C]-11221.4287641215[/C][/ROW]
[ROW][C]78[/C][C]70054[/C][C]105838.084812719[/C][C]-35784.084812719[/C][/ROW]
[ROW][C]79[/C][C]22618[/C][C]46509.861581583[/C][C]-23891.861581583[/C][/ROW]
[ROW][C]80[/C][C]74011[/C][C]94907.1941755254[/C][C]-20896.1941755254[/C][/ROW]
[ROW][C]81[/C][C]83737[/C][C]73119.7310475343[/C][C]10617.2689524657[/C][/ROW]
[ROW][C]82[/C][C]69094[/C][C]84345.6944247985[/C][C]-15251.6944247985[/C][/ROW]
[ROW][C]83[/C][C]93133[/C][C]116550.359713985[/C][C]-23417.3597139846[/C][/ROW]
[ROW][C]84[/C][C]95536[/C][C]93936.2973007852[/C][C]1599.70269921479[/C][/ROW]
[ROW][C]85[/C][C]225920[/C][C]93306.9212970091[/C][C]132613.078702991[/C][/ROW]
[ROW][C]86[/C][C]62133[/C][C]81479.7925072674[/C][C]-19346.7925072674[/C][/ROW]
[ROW][C]87[/C][C]61370[/C][C]67515.8500156012[/C][C]-6145.85001560119[/C][/ROW]
[ROW][C]88[/C][C]43836[/C][C]50396.3353127978[/C][C]-6560.33531279777[/C][/ROW]
[ROW][C]89[/C][C]106117[/C][C]114836.039780063[/C][C]-8719.03978006251[/C][/ROW]
[ROW][C]90[/C][C]38692[/C][C]60272.7367150194[/C][C]-21580.7367150194[/C][/ROW]
[ROW][C]91[/C][C]84651[/C][C]96072.419368385[/C][C]-11421.419368385[/C][/ROW]
[ROW][C]92[/C][C]56622[/C][C]33305.2106440405[/C][C]23316.7893559595[/C][/ROW]
[ROW][C]93[/C][C]15986[/C][C]36075.3128604793[/C][C]-20089.3128604793[/C][/ROW]
[ROW][C]94[/C][C]95364[/C][C]77198.4466523315[/C][C]18165.5533476685[/C][/ROW]
[ROW][C]95[/C][C]26706[/C][C]47686.0639598589[/C][C]-20980.063959859[/C][/ROW]
[ROW][C]96[/C][C]89691[/C][C]77251.2852576741[/C][C]12439.7147423259[/C][/ROW]
[ROW][C]97[/C][C]67267[/C][C]93879.7728048112[/C][C]-26612.7728048112[/C][/ROW]
[ROW][C]98[/C][C]126846[/C][C]93644.5502637443[/C][C]33201.4497362557[/C][/ROW]
[ROW][C]99[/C][C]41140[/C][C]77677.2125189405[/C][C]-36537.2125189405[/C][/ROW]
[ROW][C]100[/C][C]102860[/C][C]101697.06338866[/C][C]1162.9366113397[/C][/ROW]
[ROW][C]101[/C][C]51715[/C][C]59685.2821583541[/C][C]-7970.2821583541[/C][/ROW]
[ROW][C]102[/C][C]55801[/C][C]85576.2649298685[/C][C]-29775.2649298685[/C][/ROW]
[ROW][C]103[/C][C]111813[/C][C]82179.6378969482[/C][C]29633.3621030518[/C][/ROW]
[ROW][C]104[/C][C]120293[/C][C]71187.3695940193[/C][C]49105.6304059807[/C][/ROW]
[ROW][C]105[/C][C]138599[/C][C]82952.0138969567[/C][C]55646.9861030432[/C][/ROW]
[ROW][C]106[/C][C]161647[/C][C]106802.120733912[/C][C]54844.8792660883[/C][/ROW]
[ROW][C]107[/C][C]115929[/C][C]133905.462314019[/C][C]-17976.4623140194[/C][/ROW]
[ROW][C]108[/C][C]24266[/C][C]35755.6737343825[/C][C]-11489.6737343825[/C][/ROW]
[ROW][C]109[/C][C]162901[/C][C]123948.829773865[/C][C]38952.1702261346[/C][/ROW]
[ROW][C]110[/C][C]109825[/C][C]112134.021913809[/C][C]-2309.02191380942[/C][/ROW]
[ROW][C]111[/C][C]129838[/C][C]99805.5376045272[/C][C]30032.4623954728[/C][/ROW]
[ROW][C]112[/C][C]37510[/C][C]62585.9028358378[/C][C]-25075.9028358378[/C][/ROW]
[ROW][C]113[/C][C]43750[/C][C]31591.4817210729[/C][C]12158.5182789271[/C][/ROW]
[ROW][C]114[/C][C]40652[/C][C]68682.3617980184[/C][C]-28030.3617980184[/C][/ROW]
[ROW][C]115[/C][C]87771[/C][C]78539.3083307791[/C][C]9231.69166922096[/C][/ROW]
[ROW][C]116[/C][C]85872[/C][C]86819.3294741167[/C][C]-947.329474116729[/C][/ROW]
[ROW][C]117[/C][C]89275[/C][C]112197.924344201[/C][C]-22922.9243442011[/C][/ROW]
[ROW][C]118[/C][C]44418[/C][C]58671.8741911749[/C][C]-14253.8741911749[/C][/ROW]
[ROW][C]119[/C][C]192565[/C][C]41595.3918747084[/C][C]150969.608125292[/C][/ROW]
[ROW][C]120[/C][C]35232[/C][C]35961.2478790852[/C][C]-729.247879085209[/C][/ROW]
[ROW][C]121[/C][C]40909[/C][C]49498.8979725828[/C][C]-8589.89797258284[/C][/ROW]
[ROW][C]122[/C][C]13294[/C][C]23991.2422177622[/C][C]-10697.2422177622[/C][/ROW]
[ROW][C]123[/C][C]32387[/C][C]43027.3876281331[/C][C]-10640.3876281331[/C][/ROW]
[ROW][C]124[/C][C]140867[/C][C]67804.5468143301[/C][C]73062.4531856699[/C][/ROW]
[ROW][C]125[/C][C]120662[/C][C]83998.7362592237[/C][C]36663.2637407763[/C][/ROW]
[ROW][C]126[/C][C]21233[/C][C]35752.4700432493[/C][C]-14519.4700432493[/C][/ROW]
[ROW][C]127[/C][C]44332[/C][C]38386.6101988235[/C][C]5945.38980117654[/C][/ROW]
[ROW][C]128[/C][C]61056[/C][C]49333.0538691166[/C][C]11722.9461308834[/C][/ROW]
[ROW][C]129[/C][C]101338[/C][C]116124.141690194[/C][C]-14786.1416901944[/C][/ROW]
[ROW][C]130[/C][C]1168[/C][C]6084.06947935478[/C][C]-4916.06947935478[/C][/ROW]
[ROW][C]131[/C][C]13497[/C][C]19768.2464623909[/C][C]-6271.24646239089[/C][/ROW]
[ROW][C]132[/C][C]65567[/C][C]84090.3182086991[/C][C]-18523.3182086991[/C][/ROW]
[ROW][C]133[/C][C]25162[/C][C]34083.9394048886[/C][C]-8921.93940488858[/C][/ROW]
[ROW][C]134[/C][C]32334[/C][C]39250.1473411842[/C][C]-6916.14734118422[/C][/ROW]
[ROW][C]135[/C][C]40735[/C][C]69795.7316359265[/C][C]-29060.7316359265[/C][/ROW]
[ROW][C]136[/C][C]91413[/C][C]111374.320322793[/C][C]-19961.3203227934[/C][/ROW]
[ROW][C]137[/C][C]855[/C][C]2059.32800404858[/C][C]-1204.32800404858[/C][/ROW]
[ROW][C]138[/C][C]97068[/C][C]77120.2570086829[/C][C]19947.7429913171[/C][/ROW]
[ROW][C]139[/C][C]44339[/C][C]13952.319987819[/C][C]30386.680012181[/C][/ROW]
[ROW][C]140[/C][C]14116[/C][C]15768.1304699064[/C][C]-1652.13046990639[/C][/ROW]
[ROW][C]141[/C][C]10288[/C][C]18896.4095881984[/C][C]-8608.40958819843[/C][/ROW]
[ROW][C]142[/C][C]65622[/C][C]49795.0272711709[/C][C]15826.9727288291[/C][/ROW]
[ROW][C]143[/C][C]16563[/C][C]24433.5657898046[/C][C]-7870.5657898046[/C][/ROW]
[ROW][C]144[/C][C]76643[/C][C]92467.410206095[/C][C]-15824.410206095[/C][/ROW]
[ROW][C]145[/C][C]110681[/C][C]92990.5089487228[/C][C]17690.4910512772[/C][/ROW]
[ROW][C]146[/C][C]29011[/C][C]32400.7040608971[/C][C]-3389.70406089705[/C][/ROW]
[ROW][C]147[/C][C]92696[/C][C]75809.8720969381[/C][C]16886.1279030619[/C][/ROW]
[ROW][C]148[/C][C]94785[/C][C]41656.7716661277[/C][C]53128.2283338723[/C][/ROW]
[ROW][C]149[/C][C]8773[/C][C]15907.2564422184[/C][C]-7134.25644221844[/C][/ROW]
[ROW][C]150[/C][C]83209[/C][C]65605.1504852938[/C][C]17603.8495147062[/C][/ROW]
[ROW][C]151[/C][C]93815[/C][C]105383.341804479[/C][C]-11568.3418044794[/C][/ROW]
[ROW][C]152[/C][C]86687[/C][C]75634.0144407268[/C][C]11052.9855592732[/C][/ROW]
[ROW][C]153[/C][C]34553[/C][C]40175.2085586142[/C][C]-5622.20855861424[/C][/ROW]
[ROW][C]154[/C][C]105547[/C][C]125083.878227411[/C][C]-19536.8782274115[/C][/ROW]
[ROW][C]155[/C][C]103487[/C][C]113588.792303703[/C][C]-10101.7923037034[/C][/ROW]
[ROW][C]156[/C][C]213688[/C][C]136437.593664885[/C][C]77250.406335115[/C][/ROW]
[ROW][C]157[/C][C]71220[/C][C]68380.2855416795[/C][C]2839.71445832051[/C][/ROW]
[ROW][C]158[/C][C]23517[/C][C]27855.7316214245[/C][C]-4338.73162142449[/C][/ROW]
[ROW][C]159[/C][C]56926[/C][C]42802.9085883599[/C][C]14123.0914116401[/C][/ROW]
[ROW][C]160[/C][C]91721[/C][C]94271.8677163892[/C][C]-2550.86771638918[/C][/ROW]
[ROW][C]161[/C][C]115168[/C][C]113356.570331367[/C][C]1811.42966863331[/C][/ROW]
[ROW][C]162[/C][C]111194[/C][C]60114.9842229372[/C][C]51079.0157770628[/C][/ROW]
[ROW][C]163[/C][C]51009[/C][C]41974.4131006481[/C][C]9034.58689935188[/C][/ROW]
[ROW][C]164[/C][C]135777[/C][C]106448.800010157[/C][C]29328.1999898425[/C][/ROW]
[ROW][C]165[/C][C]51513[/C][C]63262.8847594927[/C][C]-11749.8847594927[/C][/ROW]
[ROW][C]166[/C][C]74163[/C][C]89918.0439981481[/C][C]-15755.0439981481[/C][/ROW]
[ROW][C]167[/C][C]51633[/C][C]72451.1813703199[/C][C]-20818.1813703199[/C][/ROW]
[ROW][C]168[/C][C]75345[/C][C]47521.0173224503[/C][C]27823.9826775497[/C][/ROW]
[ROW][C]169[/C][C]33416[/C][C]51508.1583936098[/C][C]-18092.1583936098[/C][/ROW]
[ROW][C]170[/C][C]83305[/C][C]60089.4540804463[/C][C]23215.5459195537[/C][/ROW]
[ROW][C]171[/C][C]98952[/C][C]106122.413488811[/C][C]-7170.4134888109[/C][/ROW]
[ROW][C]172[/C][C]102372[/C][C]94894.1097492184[/C][C]7477.89025078163[/C][/ROW]
[ROW][C]173[/C][C]37238[/C][C]53459.3118946618[/C][C]-16221.3118946618[/C][/ROW]
[ROW][C]174[/C][C]103772[/C][C]129420.097783596[/C][C]-25648.0977835961[/C][/ROW]
[ROW][C]175[/C][C]123969[/C][C]107491.846309289[/C][C]16477.1536907111[/C][/ROW]
[ROW][C]176[/C][C]27142[/C][C]30482.0719971227[/C][C]-3340.07199712266[/C][/ROW]
[ROW][C]177[/C][C]135400[/C][C]82723.3729192151[/C][C]52676.6270807849[/C][/ROW]
[ROW][C]178[/C][C]21399[/C][C]32860.7364315097[/C][C]-11461.7364315097[/C][/ROW]
[ROW][C]179[/C][C]130115[/C][C]113089.950932087[/C][C]17025.0490679126[/C][/ROW]
[ROW][C]180[/C][C]24874[/C][C]46792.4350117335[/C][C]-21918.4350117335[/C][/ROW]
[ROW][C]181[/C][C]34988[/C][C]29935.2426352073[/C][C]5052.75736479269[/C][/ROW]
[ROW][C]182[/C][C]45549[/C][C]39584.7591105459[/C][C]5964.24088945407[/C][/ROW]
[ROW][C]183[/C][C]6023[/C][C]2450.44379189166[/C][C]3572.55620810834[/C][/ROW]
[ROW][C]184[/C][C]64466[/C][C]67155.429981579[/C][C]-2689.42998157898[/C][/ROW]
[ROW][C]185[/C][C]54990[/C][C]106249.656155946[/C][C]-51259.6561559457[/C][/ROW]
[ROW][C]186[/C][C]1644[/C][C]2652.59910365489[/C][C]-1008.59910365489[/C][/ROW]
[ROW][C]187[/C][C]6179[/C][C]13266.5224614047[/C][C]-7087.52246140465[/C][/ROW]
[ROW][C]188[/C][C]3926[/C][C]2425.3245069675[/C][C]1500.6754930325[/C][/ROW]
[ROW][C]189[/C][C]32755[/C][C]38642.194459446[/C][C]-5887.194459446[/C][/ROW]
[ROW][C]190[/C][C]34777[/C][C]50810.0922701177[/C][C]-16033.0922701177[/C][/ROW]
[ROW][C]191[/C][C]73224[/C][C]58762.3048246013[/C][C]14461.6951753987[/C][/ROW]
[ROW][C]192[/C][C]27114[/C][C]28793.2989137711[/C][C]-1679.29891377113[/C][/ROW]
[ROW][C]193[/C][C]20760[/C][C]35075.6255422884[/C][C]-14315.6255422884[/C][/ROW]
[ROW][C]194[/C][C]37636[/C][C]33958.5659849841[/C][C]3677.43401501589[/C][/ROW]
[ROW][C]195[/C][C]65461[/C][C]53223.5954775374[/C][C]12237.4045224626[/C][/ROW]
[ROW][C]196[/C][C]30080[/C][C]45451.9563835145[/C][C]-15371.9563835145[/C][/ROW]
[ROW][C]197[/C][C]24094[/C][C]26266.2212844251[/C][C]-2172.2212844251[/C][/ROW]
[ROW][C]198[/C][C]69008[/C][C]27502.3227658715[/C][C]41505.6772341285[/C][/ROW]
[ROW][C]199[/C][C]54968[/C][C]35760.3196228283[/C][C]19207.6803771717[/C][/ROW]
[ROW][C]200[/C][C]46090[/C][C]34288.3343416964[/C][C]11801.6656583035[/C][/ROW]
[ROW][C]201[/C][C]27507[/C][C]35403.6611849382[/C][C]-7896.6611849382[/C][/ROW]
[ROW][C]202[/C][C]10672[/C][C]32552.1244722655[/C][C]-21880.1244722655[/C][/ROW]
[ROW][C]203[/C][C]34029[/C][C]41275.2659278208[/C][C]-7246.26592782078[/C][/ROW]
[ROW][C]204[/C][C]46300[/C][C]34895.8493976269[/C][C]11404.1506023731[/C][/ROW]
[ROW][C]205[/C][C]24760[/C][C]34650.8006601035[/C][C]-9890.80066010346[/C][/ROW]
[ROW][C]206[/C][C]18779[/C][C]23480.4770152993[/C][C]-4701.47701529927[/C][/ROW]
[ROW][C]207[/C][C]21280[/C][C]31207.7142685975[/C][C]-9927.71426859753[/C][/ROW]
[ROW][C]208[/C][C]40662[/C][C]44960.6369042283[/C][C]-4298.6369042283[/C][/ROW]
[ROW][C]209[/C][C]28987[/C][C]41625.8372041913[/C][C]-12638.8372041913[/C][/ROW]
[ROW][C]210[/C][C]22827[/C][C]49322.7165883023[/C][C]-26495.7165883023[/C][/ROW]
[ROW][C]211[/C][C]18513[/C][C]32527.096759457[/C][C]-14014.096759457[/C][/ROW]
[ROW][C]212[/C][C]30594[/C][C]39536.9836723662[/C][C]-8942.98367236618[/C][/ROW]
[ROW][C]213[/C][C]24006[/C][C]26329.7249823762[/C][C]-2323.72498237618[/C][/ROW]
[ROW][C]214[/C][C]27913[/C][C]35829.68224249[/C][C]-7916.68224249002[/C][/ROW]
[ROW][C]215[/C][C]42744[/C][C]34955.9813110435[/C][C]7788.0186889565[/C][/ROW]
[ROW][C]216[/C][C]12934[/C][C]27490.7598611034[/C][C]-14556.7598611034[/C][/ROW]
[ROW][C]217[/C][C]22574[/C][C]22827.2647056614[/C][C]-253.264705661427[/C][/ROW]
[ROW][C]218[/C][C]41385[/C][C]34243.488619776[/C][C]7141.51138022396[/C][/ROW]
[ROW][C]219[/C][C]18653[/C][C]36295.5694436588[/C][C]-17642.5694436588[/C][/ROW]
[ROW][C]220[/C][C]18472[/C][C]26231.1138114448[/C][C]-7759.11381144477[/C][/ROW]
[ROW][C]221[/C][C]30976[/C][C]32916.8358214923[/C][C]-1940.83582149231[/C][/ROW]
[ROW][C]222[/C][C]63339[/C][C]46187.2207450755[/C][C]17151.7792549245[/C][/ROW]
[ROW][C]223[/C][C]25568[/C][C]40044.3277181188[/C][C]-14476.3277181188[/C][/ROW]
[ROW][C]224[/C][C]33747[/C][C]29720.424173665[/C][C]4026.57582633498[/C][/ROW]
[ROW][C]225[/C][C]4154[/C][C]18753.0567078432[/C][C]-14599.0567078432[/C][/ROW]
[ROW][C]226[/C][C]19474[/C][C]44215.5242616375[/C][C]-24741.5242616375[/C][/ROW]
[ROW][C]227[/C][C]35130[/C][C]21759.2903090783[/C][C]13370.7096909217[/C][/ROW]
[ROW][C]228[/C][C]39067[/C][C]34824.5970177825[/C][C]4242.4029822175[/C][/ROW]
[ROW][C]229[/C][C]13310[/C][C]29650.2587401799[/C][C]-16340.2587401799[/C][/ROW]
[ROW][C]230[/C][C]65892[/C][C]32681.2727930286[/C][C]33210.7272069714[/C][/ROW]
[ROW][C]231[/C][C]4143[/C][C]16173.5596986976[/C][C]-12030.5596986976[/C][/ROW]
[ROW][C]232[/C][C]28579[/C][C]31030.6785275709[/C][C]-2451.67852757085[/C][/ROW]
[ROW][C]233[/C][C]51776[/C][C]26974.2890895269[/C][C]24801.7109104731[/C][/ROW]
[ROW][C]234[/C][C]21152[/C][C]22399.8556586811[/C][C]-1247.85565868109[/C][/ROW]
[ROW][C]235[/C][C]38084[/C][C]32378.7758903508[/C][C]5705.22410964923[/C][/ROW]
[ROW][C]236[/C][C]27717[/C][C]36087.208851168[/C][C]-8370.20885116796[/C][/ROW]
[ROW][C]237[/C][C]32928[/C][C]40957.8673246972[/C][C]-8029.86732469721[/C][/ROW]
[ROW][C]238[/C][C]11342[/C][C]24994.0358393059[/C][C]-13652.0358393059[/C][/ROW]
[ROW][C]239[/C][C]19499[/C][C]29364.3899618988[/C][C]-9865.38996189878[/C][/ROW]
[ROW][C]240[/C][C]16380[/C][C]21650.7559969975[/C][C]-5270.75599699753[/C][/ROW]
[ROW][C]241[/C][C]36874[/C][C]26318.5311182627[/C][C]10555.4688817373[/C][/ROW]
[ROW][C]242[/C][C]48259[/C][C]45436.6666984532[/C][C]2822.33330154683[/C][/ROW]
[ROW][C]243[/C][C]16734[/C][C]31016.8927555209[/C][C]-14282.8927555209[/C][/ROW]
[ROW][C]244[/C][C]28207[/C][C]28846.1841218358[/C][C]-639.184121835756[/C][/ROW]
[ROW][C]245[/C][C]30143[/C][C]27304.6304352455[/C][C]2838.36956475445[/C][/ROW]
[ROW][C]246[/C][C]41369[/C][C]33463.9974886914[/C][C]7905.00251130856[/C][/ROW]
[ROW][C]247[/C][C]45833[/C][C]39261.439700101[/C][C]6571.560299899[/C][/ROW]
[ROW][C]248[/C][C]29156[/C][C]27269.3431243912[/C][C]1886.6568756088[/C][/ROW]
[ROW][C]249[/C][C]35944[/C][C]24549.5433011105[/C][C]11394.4566988895[/C][/ROW]
[ROW][C]250[/C][C]36278[/C][C]14017.2688626644[/C][C]22260.7311373356[/C][/ROW]
[ROW][C]251[/C][C]45588[/C][C]43431.6136780424[/C][C]2156.38632195761[/C][/ROW]
[ROW][C]252[/C][C]45097[/C][C]43232.8312375634[/C][C]1864.16876243658[/C][/ROW]
[ROW][C]253[/C][C]3895[/C][C]7759.07648525638[/C][C]-3864.07648525638[/C][/ROW]
[ROW][C]254[/C][C]28394[/C][C]30361.7937141228[/C][C]-1967.79371412278[/C][/ROW]
[ROW][C]255[/C][C]18632[/C][C]28195.6483403963[/C][C]-9563.64834039634[/C][/ROW]
[ROW][C]256[/C][C]2325[/C][C]8377.87404019806[/C][C]-6052.87404019806[/C][/ROW]
[ROW][C]257[/C][C]25139[/C][C]19482.7219065326[/C][C]5656.27809346736[/C][/ROW]
[ROW][C]258[/C][C]27975[/C][C]33171.4103045299[/C][C]-5196.41030452988[/C][/ROW]
[ROW][C]259[/C][C]14483[/C][C]27364.260467462[/C][C]-12881.260467462[/C][/ROW]
[ROW][C]260[/C][C]13127[/C][C]17861.2878826146[/C][C]-4734.28788261459[/C][/ROW]
[ROW][C]261[/C][C]5839[/C][C]13569.4055384237[/C][C]-7730.40553842367[/C][/ROW]
[ROW][C]262[/C][C]24069[/C][C]37584.2284234042[/C][C]-13515.2284234042[/C][/ROW]
[ROW][C]263[/C][C]3738[/C][C]9978.25961647612[/C][C]-6240.25961647612[/C][/ROW]
[ROW][C]264[/C][C]18625[/C][C]30497.8282376012[/C][C]-11872.8282376012[/C][/ROW]
[ROW][C]265[/C][C]36341[/C][C]22685.7283813086[/C][C]13655.2716186914[/C][/ROW]
[ROW][C]266[/C][C]24548[/C][C]34345.4360079288[/C][C]-9797.43600792883[/C][/ROW]
[ROW][C]267[/C][C]21792[/C][C]35101.1058158862[/C][C]-13309.1058158862[/C][/ROW]
[ROW][C]268[/C][C]26263[/C][C]28451.5472559243[/C][C]-2188.54725592431[/C][/ROW]
[ROW][C]269[/C][C]23686[/C][C]41400.7268233791[/C][C]-17714.7268233791[/C][/ROW]
[ROW][C]270[/C][C]49303[/C][C]38039.4859974763[/C][C]11263.5140025237[/C][/ROW]
[ROW][C]271[/C][C]25659[/C][C]31598.71436344[/C][C]-5939.71436344005[/C][/ROW]
[ROW][C]272[/C][C]28904[/C][C]28101.3424970626[/C][C]802.657502937431[/C][/ROW]
[ROW][C]273[/C][C]2781[/C][C]4042.03173843254[/C][C]-1261.03173843254[/C][/ROW]
[ROW][C]274[/C][C]29236[/C][C]43723.7518040867[/C][C]-14487.7518040867[/C][/ROW]
[ROW][C]275[/C][C]19546[/C][C]23352.4772365685[/C][C]-3806.47723656848[/C][/ROW]
[ROW][C]276[/C][C]22818[/C][C]47839.1100580711[/C][C]-25021.1100580711[/C][/ROW]
[ROW][C]277[/C][C]32689[/C][C]21611.7735320048[/C][C]11077.2264679952[/C][/ROW]
[ROW][C]278[/C][C]5752[/C][C]9015.52971797932[/C][C]-3263.52971797932[/C][/ROW]
[ROW][C]279[/C][C]22197[/C][C]36082.499922011[/C][C]-13885.499922011[/C][/ROW]
[ROW][C]280[/C][C]20055[/C][C]28815.3298869476[/C][C]-8760.32988694756[/C][/ROW]
[ROW][C]281[/C][C]25272[/C][C]32329.5724765085[/C][C]-7057.57247650847[/C][/ROW]
[ROW][C]282[/C][C]82206[/C][C]28210.1119655921[/C][C]53995.8880344079[/C][/ROW]
[ROW][C]283[/C][C]32073[/C][C]32740.2631567593[/C][C]-667.26315675931[/C][/ROW]
[ROW][C]284[/C][C]5444[/C][C]11037.6084589544[/C][C]-5593.60845895442[/C][/ROW]
[ROW][C]285[/C][C]20154[/C][C]23083.9506767039[/C][C]-2929.95067670388[/C][/ROW]
[ROW][C]286[/C][C]36944[/C][C]22424.3021535119[/C][C]14519.6978464881[/C][/ROW]
[ROW][C]287[/C][C]8019[/C][C]20401.3511447656[/C][C]-12382.3511447656[/C][/ROW]
[ROW][C]288[/C][C]30884[/C][C]28931.8096624181[/C][C]1952.19033758187[/C][/ROW]
[ROW][C]289[/C][C]19540[/C][C]23849.2171032682[/C][C]-4309.21710326816[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=153770&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153770&T=4

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
111228589330.454362648422954.5456373516
28478671399.461484029813386.5385159702
383123100650.613332283-17527.6133322825
410119388091.557464438713101.4425355613
53836154949.1751541329-16588.1751541329
66850433480.942505682635023.0574943174
7119182110008.7655480849173.23445191561
82280717799.64994394255007.35005605748
91714026421.0126813526-9281.01268135263
1011617462098.570775195954075.4292248041
115763564621.5366345543-6986.53663455432
126619891549.867868455-25351.867868455
1371701107500.833381493-35799.8333814927
145779370498.1071830827-12705.1071830827
1580444108316.056121772-27872.0561217721
165385593855.9031045311-40000.9031045311
1797668128287.027527236-30619.0275272356
18133824101409.6650893532414.3349106498
1910148190444.103227243711036.8967727563
209964568139.388923270231505.6110767298
21114789112264.2204743582524.77952564245
229905292139.06550939596912.9344906041
2367654100964.036820532-33310.0368205316
246555368166.6535159207-2613.65351592067
259750093959.43309164013540.56690835987
266911288910.4927124212-19798.4927124212
278275369936.691397833212816.3086021668
288532392008.726059682-6685.72605968201
297265497040.7231006516-24386.7231006516
303072751156.8850196807-20429.8850196808
317787392845.9022375783-14972.9022375783
3211747897173.266592904620304.7334070954
337400778252.9836763257-4245.98367632569
3490183116711.6834578-26528.6834578001
356154257233.5294082364308.47059176404
36101494106215.910614274-4721.91061427444
372757033938.652472697-6368.65247269699
385581375412.8218120084-19599.8218120084
397921599166.5643488741-19951.5643488741
401423192.4779503726281230.52204962737
415546169404.1967296929-13943.1967296929
423108138509.8668400311-7428.86684003107
432299634143.2715725013-11147.2715725013
448312299943.7169562986-16821.7169562986
4570106113087.514881879-42981.5148818787
466057880718.9843895063-20140.9843895063
473999249118.590369083-9126.59036908304
487989274235.26417813355656.73582186646
494981056921.5795757968-7111.57957579684
507157049946.502761105721623.4972388943
5110070888946.198007875611761.8019921244
523303240512.7980186811-7480.7980186811
538287586443.3716089012-3568.37160890124
54139077116010.2131240123066.78687599
557159579816.3089691825-8221.30896918254
567226072942.2992142863-682.299214286272
5759506929.87387566332-979.873875663317
58115762133903.770776864-18141.7707768636
593255138843.4293141514-6292.42931415135
603170140065.4141927425-8364.41419274253
618067073130.01564456247539.98435543756
62143558113229.37304520730328.6269547925
6311710579545.64501942937559.354980571
642378935412.3022223331-11623.3022223331
6512073393319.214001155827413.7859988442
66105195110618.084355375-5423.08435537526
6773107102648.846971558-29541.8469715576
68132068130517.1532741161550.84672588445
69149193101499.40100182947693.5989981707
704682184314.9674299779-37493.9674299779
718701187096.8324526794-85.8324526794029
729526069963.124819889725296.8751801103
735518369359.4322128233-14176.4322128233
7410667177120.949810097529550.0501899025
757351195189.1667272785-21678.1667272785
769294592134.8636591608810.136340839182
777866489885.4287641215-11221.4287641215
7870054105838.084812719-35784.084812719
792261846509.861581583-23891.861581583
807401194907.1941755254-20896.1941755254
818373773119.731047534310617.2689524657
826909484345.6944247985-15251.6944247985
8393133116550.359713985-23417.3597139846
849553693936.29730078521599.70269921479
8522592093306.9212970091132613.078702991
866213381479.7925072674-19346.7925072674
876137067515.8500156012-6145.85001560119
884383650396.3353127978-6560.33531279777
89106117114836.039780063-8719.03978006251
903869260272.7367150194-21580.7367150194
918465196072.419368385-11421.419368385
925662233305.210644040523316.7893559595
931598636075.3128604793-20089.3128604793
949536477198.446652331518165.5533476685
952670647686.0639598589-20980.063959859
968969177251.285257674112439.7147423259
976726793879.7728048112-26612.7728048112
9812684693644.550263744333201.4497362557
994114077677.2125189405-36537.2125189405
100102860101697.063388661162.9366113397
1015171559685.2821583541-7970.2821583541
1025580185576.2649298685-29775.2649298685
10311181382179.637896948229633.3621030518
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18554990106249.656155946-51259.6561559457
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1986900827502.322765871541505.6772341285
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2004609034288.334341696411801.6656583035
2012750735403.6611849382-7896.6611849382
2021067232552.1244722655-21880.1244722655
2033402941275.2659278208-7246.26592782078
2044630034895.849397626911404.1506023731
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2061877923480.4770152993-4701.47701529927
2072128031207.7142685975-9927.71426859753
2084066244960.6369042283-4298.6369042283
2092898741625.8372041913-12638.8372041913
2102282749322.7165883023-26495.7165883023
2111851332527.096759457-14014.096759457
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2132400626329.7249823762-2323.72498237618
2142791335829.68224249-7916.68224249002
2154274434955.98131104357788.0186889565
2161293427490.7598611034-14556.7598611034
2172257422827.2647056614-253.264705661427
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2191865336295.5694436588-17642.5694436588
2201847226231.1138114448-7759.11381144477
2213097632916.8358214923-1940.83582149231
2226333946187.220745075517151.7792549245
2232556840044.3277181188-14476.3277181188
2243374729720.4241736654026.57582633498
225415418753.0567078432-14599.0567078432
2261947444215.5242616375-24741.5242616375
2273513021759.290309078313370.7096909217
2283906734824.59701778254242.4029822175
2291331029650.2587401799-16340.2587401799
2306589232681.272793028633210.7272069714
231414316173.5596986976-12030.5596986976
2322857931030.6785275709-2451.67852757085
2335177626974.289089526924801.7109104731
2342115222399.8556586811-1247.85565868109
2353808432378.77589035085705.22410964923
2362771736087.208851168-8370.20885116796
2373292840957.8673246972-8029.86732469721
2381134224994.0358393059-13652.0358393059
2391949929364.3899618988-9865.38996189878
2401638021650.7559969975-5270.75599699753
2413687426318.531118262710555.4688817373
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2431673431016.8927555209-14282.8927555209
2442820728846.1841218358-639.184121835756
2453014327304.63043524552838.36956475445
2464136933463.99748869147905.00251130856
2474583339261.4397001016571.560299899
2482915627269.34312439121886.6568756088
2493594424549.543301110511394.4566988895
2503627814017.268862664422260.7311373356
2514558843431.61367804242156.38632195761
2524509743232.83123756341864.16876243658
25338957759.07648525638-3864.07648525638
2542839430361.7937141228-1967.79371412278
2551863228195.6483403963-9563.64834039634
25623258377.87404019806-6052.87404019806
2572513919482.72190653265656.27809346736
2582797533171.4103045299-5196.41030452988
2591448327364.260467462-12881.260467462
2601312717861.2878826146-4734.28788261459
261583913569.4055384237-7730.40553842367
2622406937584.2284234042-13515.2284234042
26337389978.25961647612-6240.25961647612
2641862530497.8282376012-11872.8282376012
2653634122685.728381308613655.2716186914
2662454834345.4360079288-9797.43600792883
2672179235101.1058158862-13309.1058158862
2682626328451.5472559243-2188.54725592431
2692368641400.7268233791-17714.7268233791
2704930338039.485997476311263.5140025237
2712565931598.71436344-5939.71436344005
2722890428101.3424970626802.657502937431
27327814042.03173843254-1261.03173843254
2742923643723.7518040867-14487.7518040867
2751954623352.4772365685-3806.47723656848
2762281847839.1100580711-25021.1100580711
2773268921611.773532004811077.2264679952
27857529015.52971797932-3263.52971797932
2792219736082.499922011-13885.499922011
2802005528815.3298869476-8760.32988694756
2812527232329.5724765085-7057.57247650847
2828220628210.111965592153995.8880344079
2833207332740.2631567593-667.26315675931
284544411037.6084589544-5593.60845895442
2852015423083.9506767039-2929.95067670388
2863694422424.302153511914519.6978464881
287801920401.3511447656-12382.3511447656
2883088428931.80966241811952.19033758187
2891954023849.2171032682-4309.21710326816







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.8494824758275770.3010350483448460.150517524172423
110.7918172618949990.4163654762100020.208182738105001
120.894324724476480.211350551047040.10567527552352
130.8679553784136090.2640892431727820.132044621586391
140.8389997113985440.3220005772029120.161000288601456
150.843992777817550.31201444436490.15600722218245
160.8670142474092570.2659715051814860.132985752590743
170.819611139734050.36077772053190.18038886026595
180.8334604880906030.3330790238187940.166539511909397
190.8583494353165480.2833011293669050.141650564683452
200.8323039356249160.3353921287501670.167696064375084
210.7794892256679790.4410215486640430.220510774332021
220.7267241749133620.5465516501732770.273275825086638
230.7191689068934240.5616621862131520.280831093106576
240.6719845235530530.6560309528938940.328015476446947
250.6075893613960710.7848212772078570.392410638603929
260.6120196018811250.775960796237750.387980398118875
270.6010929640315130.7978140719369750.398907035968487
280.5385556073992850.9228887852014310.461444392600716
290.5208915614426350.9582168771147290.479108438557365
300.536815105530710.926369788938580.46318489446929
310.494240699294220.9884813985884390.50575930070578
320.5122313284541260.9755373430917490.487768671545874
330.4826090430582660.9652180861165330.517390956941734
340.436005075077120.8720101501542410.56399492492288
350.3798703137532930.7597406275065860.620129686246707
360.327442426306390.6548848526127810.67255757369361
370.3240787539895170.6481575079790340.675921246010483
380.2976472514506210.5952945029012420.702352748549379
390.2569545068333660.5139090136667320.743045493166634
400.2609848775538360.5219697551076720.739015122446164
410.2275949417802330.4551898835604660.772405058219767
420.2070413439987420.4140826879974840.792958656001258
430.1842235789346090.3684471578692180.815776421065391
440.1543995699773110.3087991399546220.845600430022689
450.2311353798020650.462270759604130.768864620197935
460.2097303663798710.4194607327597420.790269633620129
470.176237231483580.352474462967160.82376276851642
480.1507129097402180.3014258194804360.849287090259782
490.1251867419934240.2503734839868490.874813258006576
500.1384949764133540.2769899528267080.861505023586646
510.1396060714224320.2792121428448630.860393928577568
520.119249851211350.23849970242270.88075014878865
530.09732786693652630.1946557338730530.902672133063474
540.1070060953184260.2140121906368510.892993904681574
550.09079192574018350.1815838514803670.909208074259817
560.07399956527498220.1479991305499640.926000434725018
570.06141552126849660.1228310425369930.938584478731503
580.05967223791639710.1193444758327940.940327762083603
590.04948594768178730.09897189536357460.950514052318213
600.04044942878411510.08089885756823020.959550571215885
610.03252109448472990.06504218896945980.96747890551527
620.04947715127677190.09895430255354390.950522848723228
630.07010536289676510.140210725793530.929894637103235
640.0609903200154420.1219806400308840.939009679984558
650.07100836184122620.1420167236824520.928991638158774
660.05897843096359910.1179568619271980.941021569036401
670.06509637146254010.130192742925080.93490362853746
680.05341488728074540.1068297745614910.946585112719255
690.1043534721715010.2087069443430020.895646527828499
700.1380448151208010.2760896302416020.861955184879199
710.117285415952470.2345708319049410.88271458404753
720.1399130634061130.2798261268122260.860086936593887
730.1249091943094990.2498183886189970.875090805690501
740.1453760460579460.2907520921158910.854623953942054
750.1411156429724160.2822312859448320.858884357027584
760.1197299688954720.2394599377909450.880270031104528
770.106869296186250.2137385923725010.89313070381375
780.1301044242741590.2602088485483190.869895575725841
790.1325727503775790.2651455007551580.867427249622421
800.1248155635057890.2496311270115780.875184436494211
810.1116814139350240.2233628278700480.888318586064976
820.09992297188021450.1998459437604290.900077028119785
830.09800610366205460.1960122073241090.901993896337945
840.08341926033846020.166838520676920.91658073966154
850.95843510540190.08312978919620020.0415648945981001
860.9553672132927380.08926557341452350.0446327867072618
870.9465028464940060.1069943070119880.053497153505994
880.936702778569120.1265944428617590.0632972214308795
890.9255546368865980.1488907262268050.0744453631134024
900.9241306467392640.1517387065214720.0758693532607361
910.9136333346343750.172733330731250.0863666653656251
920.9099621759063210.1800756481873580.0900378240936788
930.9053391389753430.1893217220493130.0946608610246567
940.8993780934769880.2012438130460240.100621906523012
950.8967030960696560.2065938078606890.103296903930344
960.8847701048982870.2304597902034250.115229895101713
970.8855243650835270.2289512698329460.114475634916473
980.9020357381774220.1959285236451550.0979642618225776
990.9203659337667150.159268132466570.079634066233285
1000.9063844801731160.1872310396537680.0936155198268842
1010.8934974946272520.2130050107454960.106502505372748
1020.9017796047520850.1964407904958310.0982203952479153
1030.9126182548179880.1747634903640240.087381745182012
1040.9515276073525760.09694478529484830.0484723926474241
1050.9796165294413290.04076694111734230.0203834705586712
1060.9920798972445890.01584020551082170.00792010275541087
1070.9915813755302520.01683724893949520.00841862446974759
1080.9899762025911160.0200475948177690.0100237974088845
1090.9927504542888180.01449909142236440.00724954571118219
1100.9909886512679020.01802269746419510.00901134873209753
1110.992338498433740.01532300313252010.00766150156626007
1120.9929967681677420.0140064636645160.00700323183225801
1130.9915508108367160.01689837832656830.00844918916328417
1140.9928512075045290.01429758499094170.00714879249547085
1150.9912611305828340.0174777388343320.00873886941716599
1160.9890744992398150.021851001520370.010925500760185
1170.9891670914823250.02166581703534940.0108329085176747
1180.9876610492654840.02467790146903250.0123389507345162
1190.9999999966123396.77532217990196e-093.38766108995098e-09
1200.9999999944463861.11072282580048e-085.5536141290024e-09
1210.9999999916097351.67805302838434e-088.39026514192169e-09
1220.9999999882505792.34988426970841e-081.1749421348542e-08
1230.9999999835706143.28587713034844e-081.64293856517422e-08
1240.9999999999212891.57421385686825e-107.87106928434127e-11
1250.9999999999649837.0034476369666e-113.5017238184833e-11
1260.9999999999542719.14577896331119e-114.5728894816556e-11
1270.9999999999220681.55863523819188e-107.79317619095939e-11
1280.9999999998888262.22348644526157e-101.11174322263079e-10
1290.9999999998349463.30107378486211e-101.65053689243105e-10
1300.9999999997390465.21908064358841e-102.6095403217942e-10
1310.9999999995886848.22631872697234e-104.11315936348617e-10
1320.9999999994741961.05160759204844e-095.25803796024221e-10
1330.9999999991960411.60791753591832e-098.03958767959161e-10
1340.9999999987331572.53368557479318e-091.26684278739659e-09
1350.9999999992185351.56292965008151e-097.81464825040755e-10
1360.9999999991011091.79778207802232e-098.9889103901116e-10
1370.9999999985498862.90022738436956e-091.45011369218478e-09
1380.9999999983498523.30029589038504e-091.65014794519252e-09
1390.9999999990026981.99460492966605e-099.97302464833023e-10
1400.9999999983602943.27941246917124e-091.63970623458562e-09
1410.99999999747435.0513995612049e-092.52569978060245e-09
1420.9999999969109726.17805562921997e-093.08902781460999e-09
1430.9999999953653089.26938331943452e-094.63469165971726e-09
1440.9999999944015161.1196967680319e-085.59848384015951e-09
1450.9999999926003291.47993427443168e-087.3996713721584e-09
1460.9999999882436522.35126957051788e-081.17563478525894e-08
1470.9999999838448783.23102434715769e-081.61551217357885e-08
1480.9999999985076192.98476242018775e-091.49238121009388e-09
1490.9999999976125784.77484373148653e-092.38742186574327e-09
1500.9999999968757726.24845647997402e-093.12422823998701e-09
1510.9999999958116438.37671325520335e-094.18835662760168e-09
1520.9999999934698941.30602117658724e-086.53010588293621e-09
1530.9999999894787892.10424215488566e-081.05212107744283e-08
1540.9999999901705841.96588313036688e-089.8294156518344e-09
1550.9999999857980142.84039725996884e-081.42019862998442e-08
1560.999999999984283.14405056108711e-111.57202528054355e-11
1570.9999999999725815.48383515655813e-112.74191757827906e-11
1580.999999999951299.74191126567244e-114.87095563283622e-11
1590.9999999999306311.38737384473648e-106.9368692236824e-11
1600.9999999998853822.29236710207737e-101.14618355103869e-10
1610.9999999997983944.03212754383145e-102.01606377191572e-10
1620.9999999999947091.05828741188367e-115.29143705941837e-12
1630.9999999999905091.89817611345365e-119.49088056726825e-12
1640.9999999999949061.01875552181134e-115.0937776090567e-12
1650.9999999999919471.61051271752733e-118.05256358763667e-12
1660.999999999987262.54798344625119e-111.27399172312559e-11
1670.9999999999872882.54244493181112e-111.27122246590556e-11
1680.9999999999925961.4808589838979e-117.40429491948948e-12
1690.9999999999907951.84094942568313e-119.20474712841564e-12
1700.9999999999957238.55345583553998e-124.27672791776999e-12
1710.9999999999920521.58952008737338e-117.94760043686692e-12
1720.9999999999885322.29358230126322e-111.14679115063161e-11
1730.9999999999842043.15920398846317e-111.57960199423158e-11
1740.9999999999816313.67376638691747e-111.83688319345874e-11
1750.9999999999817693.64619754334442e-111.82309877167221e-11
1760.9999999999666746.66525254456886e-113.33262627228443e-11
1770.9999999999998722.5686272255024e-131.2843136127512e-13
1780.9999999999997854.29693632773231e-132.14846816386616e-13
1790.9999999999999931.33271118593428e-146.6635559296714e-15
1800.9999999999999911.87447392053745e-149.37236960268727e-15
1810.9999999999999813.77722238748605e-141.88861119374303e-14
1820.9999999999999696.1221390142796e-143.0610695071398e-14
1830.9999999999999361.28532632432255e-136.42663162161273e-14
1840.9999999999998822.36869546780919e-131.1843477339046e-13
1850.9999999999999696.10609533988263e-143.05304766994131e-14
1860.9999999999999361.28474880163366e-136.42374400816832e-14
1870.9999999999998792.41882516104077e-131.20941258052039e-13
1880.9999999999997475.05119785609954e-132.52559892804977e-13
1890.999999999999529.6064769211728e-134.8032384605864e-13
1900.9999999999992121.57624753255825e-127.88123766279125e-13
1910.9999999999994481.10431188487127e-125.52155942435635e-13
1920.9999999999988882.22482588333266e-121.11241294166633e-12
1930.9999999999982433.51460934133964e-121.75730467066982e-12
1940.9999999999964247.15293229408647e-123.57646614704323e-12
1950.9999999999973475.30618867085603e-122.65309433542801e-12
1960.9999999999952659.4692911427882e-124.7346455713941e-12
1970.9999999999906331.87335768583714e-119.36678842918571e-12
1980.9999999999998622.75396093191824e-131.37698046595912e-13
1990.9999999999998842.32487331658933e-131.16243665829467e-13
2000.9999999999999031.94171371689183e-139.70856858445915e-14
2010.9999999999997934.14144806801617e-132.07072403400808e-13
2020.9999999999997854.30544589448137e-132.15272294724068e-13
2030.9999999999995469.08222245023404e-134.54111122511702e-13
2040.9999999999992891.42172838556815e-127.10864192784073e-13
2050.9999999999988212.35722368860614e-121.17861184430307e-12
2060.9999999999976364.72824432362232e-122.36412216181116e-12
2070.9999999999957928.41644465504369e-124.20822232752185e-12
2080.999999999991051.78989238177776e-118.94946190888879e-12
2090.9999999999842663.146734410143e-111.5733672050715e-11
2100.9999999999860162.79690003872538e-111.39845001936269e-11
2110.9999999999770494.59010243448164e-112.29505121724082e-11
2120.9999999999559988.80038096579399e-114.400190482897e-11
2130.9999999999078581.84282980638633e-109.21414903193167e-11
2140.9999999998117083.76584983970732e-101.88292491985366e-10
2150.999999999669446.6111942362437e-103.30559711812185e-10
2160.999999999603667.92679825842371e-103.96339912921186e-10
2170.9999999992014111.59717838354278e-097.98589191771391e-10
2180.9999999992510891.49782260389736e-097.48911301948678e-10
2190.9999999986593972.68120529225681e-091.34060264612841e-09
2200.9999999975496694.90066299969711e-092.45033149984855e-09
2210.9999999950892859.82142984025996e-094.91071492012998e-09
2220.9999999984267543.1464927299423e-091.57324636497115e-09
2230.9999999982548453.49031078989786e-091.74515539494893e-09
2240.9999999967389866.52202749641832e-093.26101374820916e-09
2250.9999999953856229.22875521603538e-094.61437760801769e-09
2260.9999999969247866.1504281340643e-093.07521406703215e-09
2270.999999995674398.65122088944675e-094.32561044472337e-09
2280.9999999930913441.38173116456521e-086.90865582282604e-09
2290.9999999938096721.23806568029065e-086.19032840145324e-09
2300.999999998266163.46768022039765e-091.73384011019882e-09
2310.9999999974358985.12820403075185e-092.56410201537593e-09
2320.9999999945851611.08296789097467e-085.41483945487333e-09
2330.9999999955239898.95202292106434e-094.47601146053217e-09
2340.9999999902571551.9485688968816e-089.74284448440802e-09
2350.9999999815921893.68156225466106e-081.84078112733053e-08
2360.99999996129027.7419600530957e-083.87098002654785e-08
2370.9999999362690461.27461908161617e-076.37309540808083e-08
2380.999999899573282.00853439688069e-071.00426719844034e-07
2390.9999998299357383.40128524949842e-071.70064262474921e-07
2400.9999996642902916.71419417369114e-073.35709708684557e-07
2410.9999993972302031.2055395945271e-066.02769797263549e-07
2420.9999988649353842.27012923197044e-061.13506461598522e-06
2430.9999985394125542.9211748917377e-061.46058744586885e-06
2440.9999972699963225.4600073559266e-062.7300036779633e-06
2450.9999947251489851.05497020293967e-055.27485101469837e-06
2460.9999927687833271.44624333463185e-057.23121667315926e-06
2470.9999883855822062.32288355876041e-051.16144177938021e-05
2480.9999774619739694.50760520628613e-052.25380260314307e-05
2490.9999649128080337.01743839346512e-053.50871919673256e-05
2500.9999792126888184.15746223637253e-052.07873111818626e-05
2510.9999594451741428.11096517155702e-054.05548258577851e-05
2520.9999330111155230.0001339777689549526.6988884477476e-05
2530.999872613623410.0002547727531808160.000127386376590408
2540.9997837362296480.0004325275407032970.000216263770351648
2550.9996986592125890.0006026815748210880.000301340787410544
2560.9994901944350360.001019611129928560.000509805564964278
2570.9993498641180140.001300271763971990.000650135881985995
2580.9988785730432320.002242853913535350.00112142695676767
2590.9987556111641830.002488777671634070.00124438883581703
2600.9978777718775310.00424445624493720.0021222281224686
2610.9975004640356030.00499907192879330.00249953596439665
2620.9956173052835770.00876538943284690.00438269471642345
2630.9939964754229920.01200704915401580.0060035245770079
2640.9897332226962590.02053355460748120.0102667773037406
2650.9840207326720090.03195853465598120.0159792673279906
2660.9739470030339150.05210599393216940.0260529969660847
2670.9631169938082890.0737660123834220.036883006191711
2680.9454851791658730.1090296416682550.0545148208341273
2690.9403685207410470.1192629585179060.0596314792589532
2700.9179530854064840.1640938291870320.0820469145935162
2710.9727764359734010.05444712805319860.0272235640265993
2720.9523709611389650.09525807772206920.0476290388610346
2730.9354046320681270.1291907358637470.0645953679318733
2740.9446399779687330.1107200440625350.0553600220312674
2750.9044302920558190.1911394158883630.0955697079441814
2760.8509063247726020.2981873504547970.149093675227398
2770.852478461830270.2950430763394590.14752153816973
2780.9490648381685820.1018703236628370.0509351618314183
2790.9004230612450450.1991538775099090.0995769387549546

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
10 & 0.849482475827577 & 0.301035048344846 & 0.150517524172423 \tabularnewline
11 & 0.791817261894999 & 0.416365476210002 & 0.208182738105001 \tabularnewline
12 & 0.89432472447648 & 0.21135055104704 & 0.10567527552352 \tabularnewline
13 & 0.867955378413609 & 0.264089243172782 & 0.132044621586391 \tabularnewline
14 & 0.838999711398544 & 0.322000577202912 & 0.161000288601456 \tabularnewline
15 & 0.84399277781755 & 0.3120144443649 & 0.15600722218245 \tabularnewline
16 & 0.867014247409257 & 0.265971505181486 & 0.132985752590743 \tabularnewline
17 & 0.81961113973405 & 0.3607777205319 & 0.18038886026595 \tabularnewline
18 & 0.833460488090603 & 0.333079023818794 & 0.166539511909397 \tabularnewline
19 & 0.858349435316548 & 0.283301129366905 & 0.141650564683452 \tabularnewline
20 & 0.832303935624916 & 0.335392128750167 & 0.167696064375084 \tabularnewline
21 & 0.779489225667979 & 0.441021548664043 & 0.220510774332021 \tabularnewline
22 & 0.726724174913362 & 0.546551650173277 & 0.273275825086638 \tabularnewline
23 & 0.719168906893424 & 0.561662186213152 & 0.280831093106576 \tabularnewline
24 & 0.671984523553053 & 0.656030952893894 & 0.328015476446947 \tabularnewline
25 & 0.607589361396071 & 0.784821277207857 & 0.392410638603929 \tabularnewline
26 & 0.612019601881125 & 0.77596079623775 & 0.387980398118875 \tabularnewline
27 & 0.601092964031513 & 0.797814071936975 & 0.398907035968487 \tabularnewline
28 & 0.538555607399285 & 0.922888785201431 & 0.461444392600716 \tabularnewline
29 & 0.520891561442635 & 0.958216877114729 & 0.479108438557365 \tabularnewline
30 & 0.53681510553071 & 0.92636978893858 & 0.46318489446929 \tabularnewline
31 & 0.49424069929422 & 0.988481398588439 & 0.50575930070578 \tabularnewline
32 & 0.512231328454126 & 0.975537343091749 & 0.487768671545874 \tabularnewline
33 & 0.482609043058266 & 0.965218086116533 & 0.517390956941734 \tabularnewline
34 & 0.43600507507712 & 0.872010150154241 & 0.56399492492288 \tabularnewline
35 & 0.379870313753293 & 0.759740627506586 & 0.620129686246707 \tabularnewline
36 & 0.32744242630639 & 0.654884852612781 & 0.67255757369361 \tabularnewline
37 & 0.324078753989517 & 0.648157507979034 & 0.675921246010483 \tabularnewline
38 & 0.297647251450621 & 0.595294502901242 & 0.702352748549379 \tabularnewline
39 & 0.256954506833366 & 0.513909013666732 & 0.743045493166634 \tabularnewline
40 & 0.260984877553836 & 0.521969755107672 & 0.739015122446164 \tabularnewline
41 & 0.227594941780233 & 0.455189883560466 & 0.772405058219767 \tabularnewline
42 & 0.207041343998742 & 0.414082687997484 & 0.792958656001258 \tabularnewline
43 & 0.184223578934609 & 0.368447157869218 & 0.815776421065391 \tabularnewline
44 & 0.154399569977311 & 0.308799139954622 & 0.845600430022689 \tabularnewline
45 & 0.231135379802065 & 0.46227075960413 & 0.768864620197935 \tabularnewline
46 & 0.209730366379871 & 0.419460732759742 & 0.790269633620129 \tabularnewline
47 & 0.17623723148358 & 0.35247446296716 & 0.82376276851642 \tabularnewline
48 & 0.150712909740218 & 0.301425819480436 & 0.849287090259782 \tabularnewline
49 & 0.125186741993424 & 0.250373483986849 & 0.874813258006576 \tabularnewline
50 & 0.138494976413354 & 0.276989952826708 & 0.861505023586646 \tabularnewline
51 & 0.139606071422432 & 0.279212142844863 & 0.860393928577568 \tabularnewline
52 & 0.11924985121135 & 0.2384997024227 & 0.88075014878865 \tabularnewline
53 & 0.0973278669365263 & 0.194655733873053 & 0.902672133063474 \tabularnewline
54 & 0.107006095318426 & 0.214012190636851 & 0.892993904681574 \tabularnewline
55 & 0.0907919257401835 & 0.181583851480367 & 0.909208074259817 \tabularnewline
56 & 0.0739995652749822 & 0.147999130549964 & 0.926000434725018 \tabularnewline
57 & 0.0614155212684966 & 0.122831042536993 & 0.938584478731503 \tabularnewline
58 & 0.0596722379163971 & 0.119344475832794 & 0.940327762083603 \tabularnewline
59 & 0.0494859476817873 & 0.0989718953635746 & 0.950514052318213 \tabularnewline
60 & 0.0404494287841151 & 0.0808988575682302 & 0.959550571215885 \tabularnewline
61 & 0.0325210944847299 & 0.0650421889694598 & 0.96747890551527 \tabularnewline
62 & 0.0494771512767719 & 0.0989543025535439 & 0.950522848723228 \tabularnewline
63 & 0.0701053628967651 & 0.14021072579353 & 0.929894637103235 \tabularnewline
64 & 0.060990320015442 & 0.121980640030884 & 0.939009679984558 \tabularnewline
65 & 0.0710083618412262 & 0.142016723682452 & 0.928991638158774 \tabularnewline
66 & 0.0589784309635991 & 0.117956861927198 & 0.941021569036401 \tabularnewline
67 & 0.0650963714625401 & 0.13019274292508 & 0.93490362853746 \tabularnewline
68 & 0.0534148872807454 & 0.106829774561491 & 0.946585112719255 \tabularnewline
69 & 0.104353472171501 & 0.208706944343002 & 0.895646527828499 \tabularnewline
70 & 0.138044815120801 & 0.276089630241602 & 0.861955184879199 \tabularnewline
71 & 0.11728541595247 & 0.234570831904941 & 0.88271458404753 \tabularnewline
72 & 0.139913063406113 & 0.279826126812226 & 0.860086936593887 \tabularnewline
73 & 0.124909194309499 & 0.249818388618997 & 0.875090805690501 \tabularnewline
74 & 0.145376046057946 & 0.290752092115891 & 0.854623953942054 \tabularnewline
75 & 0.141115642972416 & 0.282231285944832 & 0.858884357027584 \tabularnewline
76 & 0.119729968895472 & 0.239459937790945 & 0.880270031104528 \tabularnewline
77 & 0.10686929618625 & 0.213738592372501 & 0.89313070381375 \tabularnewline
78 & 0.130104424274159 & 0.260208848548319 & 0.869895575725841 \tabularnewline
79 & 0.132572750377579 & 0.265145500755158 & 0.867427249622421 \tabularnewline
80 & 0.124815563505789 & 0.249631127011578 & 0.875184436494211 \tabularnewline
81 & 0.111681413935024 & 0.223362827870048 & 0.888318586064976 \tabularnewline
82 & 0.0999229718802145 & 0.199845943760429 & 0.900077028119785 \tabularnewline
83 & 0.0980061036620546 & 0.196012207324109 & 0.901993896337945 \tabularnewline
84 & 0.0834192603384602 & 0.16683852067692 & 0.91658073966154 \tabularnewline
85 & 0.9584351054019 & 0.0831297891962002 & 0.0415648945981001 \tabularnewline
86 & 0.955367213292738 & 0.0892655734145235 & 0.0446327867072618 \tabularnewline
87 & 0.946502846494006 & 0.106994307011988 & 0.053497153505994 \tabularnewline
88 & 0.93670277856912 & 0.126594442861759 & 0.0632972214308795 \tabularnewline
89 & 0.925554636886598 & 0.148890726226805 & 0.0744453631134024 \tabularnewline
90 & 0.924130646739264 & 0.151738706521472 & 0.0758693532607361 \tabularnewline
91 & 0.913633334634375 & 0.17273333073125 & 0.0863666653656251 \tabularnewline
92 & 0.909962175906321 & 0.180075648187358 & 0.0900378240936788 \tabularnewline
93 & 0.905339138975343 & 0.189321722049313 & 0.0946608610246567 \tabularnewline
94 & 0.899378093476988 & 0.201243813046024 & 0.100621906523012 \tabularnewline
95 & 0.896703096069656 & 0.206593807860689 & 0.103296903930344 \tabularnewline
96 & 0.884770104898287 & 0.230459790203425 & 0.115229895101713 \tabularnewline
97 & 0.885524365083527 & 0.228951269832946 & 0.114475634916473 \tabularnewline
98 & 0.902035738177422 & 0.195928523645155 & 0.0979642618225776 \tabularnewline
99 & 0.920365933766715 & 0.15926813246657 & 0.079634066233285 \tabularnewline
100 & 0.906384480173116 & 0.187231039653768 & 0.0936155198268842 \tabularnewline
101 & 0.893497494627252 & 0.213005010745496 & 0.106502505372748 \tabularnewline
102 & 0.901779604752085 & 0.196440790495831 & 0.0982203952479153 \tabularnewline
103 & 0.912618254817988 & 0.174763490364024 & 0.087381745182012 \tabularnewline
104 & 0.951527607352576 & 0.0969447852948483 & 0.0484723926474241 \tabularnewline
105 & 0.979616529441329 & 0.0407669411173423 & 0.0203834705586712 \tabularnewline
106 & 0.992079897244589 & 0.0158402055108217 & 0.00792010275541087 \tabularnewline
107 & 0.991581375530252 & 0.0168372489394952 & 0.00841862446974759 \tabularnewline
108 & 0.989976202591116 & 0.020047594817769 & 0.0100237974088845 \tabularnewline
109 & 0.992750454288818 & 0.0144990914223644 & 0.00724954571118219 \tabularnewline
110 & 0.990988651267902 & 0.0180226974641951 & 0.00901134873209753 \tabularnewline
111 & 0.99233849843374 & 0.0153230031325201 & 0.00766150156626007 \tabularnewline
112 & 0.992996768167742 & 0.014006463664516 & 0.00700323183225801 \tabularnewline
113 & 0.991550810836716 & 0.0168983783265683 & 0.00844918916328417 \tabularnewline
114 & 0.992851207504529 & 0.0142975849909417 & 0.00714879249547085 \tabularnewline
115 & 0.991261130582834 & 0.017477738834332 & 0.00873886941716599 \tabularnewline
116 & 0.989074499239815 & 0.02185100152037 & 0.010925500760185 \tabularnewline
117 & 0.989167091482325 & 0.0216658170353494 & 0.0108329085176747 \tabularnewline
118 & 0.987661049265484 & 0.0246779014690325 & 0.0123389507345162 \tabularnewline
119 & 0.999999996612339 & 6.77532217990196e-09 & 3.38766108995098e-09 \tabularnewline
120 & 0.999999994446386 & 1.11072282580048e-08 & 5.5536141290024e-09 \tabularnewline
121 & 0.999999991609735 & 1.67805302838434e-08 & 8.39026514192169e-09 \tabularnewline
122 & 0.999999988250579 & 2.34988426970841e-08 & 1.1749421348542e-08 \tabularnewline
123 & 0.999999983570614 & 3.28587713034844e-08 & 1.64293856517422e-08 \tabularnewline
124 & 0.999999999921289 & 1.57421385686825e-10 & 7.87106928434127e-11 \tabularnewline
125 & 0.999999999964983 & 7.0034476369666e-11 & 3.5017238184833e-11 \tabularnewline
126 & 0.999999999954271 & 9.14577896331119e-11 & 4.5728894816556e-11 \tabularnewline
127 & 0.999999999922068 & 1.55863523819188e-10 & 7.79317619095939e-11 \tabularnewline
128 & 0.999999999888826 & 2.22348644526157e-10 & 1.11174322263079e-10 \tabularnewline
129 & 0.999999999834946 & 3.30107378486211e-10 & 1.65053689243105e-10 \tabularnewline
130 & 0.999999999739046 & 5.21908064358841e-10 & 2.6095403217942e-10 \tabularnewline
131 & 0.999999999588684 & 8.22631872697234e-10 & 4.11315936348617e-10 \tabularnewline
132 & 0.999999999474196 & 1.05160759204844e-09 & 5.25803796024221e-10 \tabularnewline
133 & 0.999999999196041 & 1.60791753591832e-09 & 8.03958767959161e-10 \tabularnewline
134 & 0.999999998733157 & 2.53368557479318e-09 & 1.26684278739659e-09 \tabularnewline
135 & 0.999999999218535 & 1.56292965008151e-09 & 7.81464825040755e-10 \tabularnewline
136 & 0.999999999101109 & 1.79778207802232e-09 & 8.9889103901116e-10 \tabularnewline
137 & 0.999999998549886 & 2.90022738436956e-09 & 1.45011369218478e-09 \tabularnewline
138 & 0.999999998349852 & 3.30029589038504e-09 & 1.65014794519252e-09 \tabularnewline
139 & 0.999999999002698 & 1.99460492966605e-09 & 9.97302464833023e-10 \tabularnewline
140 & 0.999999998360294 & 3.27941246917124e-09 & 1.63970623458562e-09 \tabularnewline
141 & 0.9999999974743 & 5.0513995612049e-09 & 2.52569978060245e-09 \tabularnewline
142 & 0.999999996910972 & 6.17805562921997e-09 & 3.08902781460999e-09 \tabularnewline
143 & 0.999999995365308 & 9.26938331943452e-09 & 4.63469165971726e-09 \tabularnewline
144 & 0.999999994401516 & 1.1196967680319e-08 & 5.59848384015951e-09 \tabularnewline
145 & 0.999999992600329 & 1.47993427443168e-08 & 7.3996713721584e-09 \tabularnewline
146 & 0.999999988243652 & 2.35126957051788e-08 & 1.17563478525894e-08 \tabularnewline
147 & 0.999999983844878 & 3.23102434715769e-08 & 1.61551217357885e-08 \tabularnewline
148 & 0.999999998507619 & 2.98476242018775e-09 & 1.49238121009388e-09 \tabularnewline
149 & 0.999999997612578 & 4.77484373148653e-09 & 2.38742186574327e-09 \tabularnewline
150 & 0.999999996875772 & 6.24845647997402e-09 & 3.12422823998701e-09 \tabularnewline
151 & 0.999999995811643 & 8.37671325520335e-09 & 4.18835662760168e-09 \tabularnewline
152 & 0.999999993469894 & 1.30602117658724e-08 & 6.53010588293621e-09 \tabularnewline
153 & 0.999999989478789 & 2.10424215488566e-08 & 1.05212107744283e-08 \tabularnewline
154 & 0.999999990170584 & 1.96588313036688e-08 & 9.8294156518344e-09 \tabularnewline
155 & 0.999999985798014 & 2.84039725996884e-08 & 1.42019862998442e-08 \tabularnewline
156 & 0.99999999998428 & 3.14405056108711e-11 & 1.57202528054355e-11 \tabularnewline
157 & 0.999999999972581 & 5.48383515655813e-11 & 2.74191757827906e-11 \tabularnewline
158 & 0.99999999995129 & 9.74191126567244e-11 & 4.87095563283622e-11 \tabularnewline
159 & 0.999999999930631 & 1.38737384473648e-10 & 6.9368692236824e-11 \tabularnewline
160 & 0.999999999885382 & 2.29236710207737e-10 & 1.14618355103869e-10 \tabularnewline
161 & 0.999999999798394 & 4.03212754383145e-10 & 2.01606377191572e-10 \tabularnewline
162 & 0.999999999994709 & 1.05828741188367e-11 & 5.29143705941837e-12 \tabularnewline
163 & 0.999999999990509 & 1.89817611345365e-11 & 9.49088056726825e-12 \tabularnewline
164 & 0.999999999994906 & 1.01875552181134e-11 & 5.0937776090567e-12 \tabularnewline
165 & 0.999999999991947 & 1.61051271752733e-11 & 8.05256358763667e-12 \tabularnewline
166 & 0.99999999998726 & 2.54798344625119e-11 & 1.27399172312559e-11 \tabularnewline
167 & 0.999999999987288 & 2.54244493181112e-11 & 1.27122246590556e-11 \tabularnewline
168 & 0.999999999992596 & 1.4808589838979e-11 & 7.40429491948948e-12 \tabularnewline
169 & 0.999999999990795 & 1.84094942568313e-11 & 9.20474712841564e-12 \tabularnewline
170 & 0.999999999995723 & 8.55345583553998e-12 & 4.27672791776999e-12 \tabularnewline
171 & 0.999999999992052 & 1.58952008737338e-11 & 7.94760043686692e-12 \tabularnewline
172 & 0.999999999988532 & 2.29358230126322e-11 & 1.14679115063161e-11 \tabularnewline
173 & 0.999999999984204 & 3.15920398846317e-11 & 1.57960199423158e-11 \tabularnewline
174 & 0.999999999981631 & 3.67376638691747e-11 & 1.83688319345874e-11 \tabularnewline
175 & 0.999999999981769 & 3.64619754334442e-11 & 1.82309877167221e-11 \tabularnewline
176 & 0.999999999966674 & 6.66525254456886e-11 & 3.33262627228443e-11 \tabularnewline
177 & 0.999999999999872 & 2.5686272255024e-13 & 1.2843136127512e-13 \tabularnewline
178 & 0.999999999999785 & 4.29693632773231e-13 & 2.14846816386616e-13 \tabularnewline
179 & 0.999999999999993 & 1.33271118593428e-14 & 6.6635559296714e-15 \tabularnewline
180 & 0.999999999999991 & 1.87447392053745e-14 & 9.37236960268727e-15 \tabularnewline
181 & 0.999999999999981 & 3.77722238748605e-14 & 1.88861119374303e-14 \tabularnewline
182 & 0.999999999999969 & 6.1221390142796e-14 & 3.0610695071398e-14 \tabularnewline
183 & 0.999999999999936 & 1.28532632432255e-13 & 6.42663162161273e-14 \tabularnewline
184 & 0.999999999999882 & 2.36869546780919e-13 & 1.1843477339046e-13 \tabularnewline
185 & 0.999999999999969 & 6.10609533988263e-14 & 3.05304766994131e-14 \tabularnewline
186 & 0.999999999999936 & 1.28474880163366e-13 & 6.42374400816832e-14 \tabularnewline
187 & 0.999999999999879 & 2.41882516104077e-13 & 1.20941258052039e-13 \tabularnewline
188 & 0.999999999999747 & 5.05119785609954e-13 & 2.52559892804977e-13 \tabularnewline
189 & 0.99999999999952 & 9.6064769211728e-13 & 4.8032384605864e-13 \tabularnewline
190 & 0.999999999999212 & 1.57624753255825e-12 & 7.88123766279125e-13 \tabularnewline
191 & 0.999999999999448 & 1.10431188487127e-12 & 5.52155942435635e-13 \tabularnewline
192 & 0.999999999998888 & 2.22482588333266e-12 & 1.11241294166633e-12 \tabularnewline
193 & 0.999999999998243 & 3.51460934133964e-12 & 1.75730467066982e-12 \tabularnewline
194 & 0.999999999996424 & 7.15293229408647e-12 & 3.57646614704323e-12 \tabularnewline
195 & 0.999999999997347 & 5.30618867085603e-12 & 2.65309433542801e-12 \tabularnewline
196 & 0.999999999995265 & 9.4692911427882e-12 & 4.7346455713941e-12 \tabularnewline
197 & 0.999999999990633 & 1.87335768583714e-11 & 9.36678842918571e-12 \tabularnewline
198 & 0.999999999999862 & 2.75396093191824e-13 & 1.37698046595912e-13 \tabularnewline
199 & 0.999999999999884 & 2.32487331658933e-13 & 1.16243665829467e-13 \tabularnewline
200 & 0.999999999999903 & 1.94171371689183e-13 & 9.70856858445915e-14 \tabularnewline
201 & 0.999999999999793 & 4.14144806801617e-13 & 2.07072403400808e-13 \tabularnewline
202 & 0.999999999999785 & 4.30544589448137e-13 & 2.15272294724068e-13 \tabularnewline
203 & 0.999999999999546 & 9.08222245023404e-13 & 4.54111122511702e-13 \tabularnewline
204 & 0.999999999999289 & 1.42172838556815e-12 & 7.10864192784073e-13 \tabularnewline
205 & 0.999999999998821 & 2.35722368860614e-12 & 1.17861184430307e-12 \tabularnewline
206 & 0.999999999997636 & 4.72824432362232e-12 & 2.36412216181116e-12 \tabularnewline
207 & 0.999999999995792 & 8.41644465504369e-12 & 4.20822232752185e-12 \tabularnewline
208 & 0.99999999999105 & 1.78989238177776e-11 & 8.94946190888879e-12 \tabularnewline
209 & 0.999999999984266 & 3.146734410143e-11 & 1.5733672050715e-11 \tabularnewline
210 & 0.999999999986016 & 2.79690003872538e-11 & 1.39845001936269e-11 \tabularnewline
211 & 0.999999999977049 & 4.59010243448164e-11 & 2.29505121724082e-11 \tabularnewline
212 & 0.999999999955998 & 8.80038096579399e-11 & 4.400190482897e-11 \tabularnewline
213 & 0.999999999907858 & 1.84282980638633e-10 & 9.21414903193167e-11 \tabularnewline
214 & 0.999999999811708 & 3.76584983970732e-10 & 1.88292491985366e-10 \tabularnewline
215 & 0.99999999966944 & 6.6111942362437e-10 & 3.30559711812185e-10 \tabularnewline
216 & 0.99999999960366 & 7.92679825842371e-10 & 3.96339912921186e-10 \tabularnewline
217 & 0.999999999201411 & 1.59717838354278e-09 & 7.98589191771391e-10 \tabularnewline
218 & 0.999999999251089 & 1.49782260389736e-09 & 7.48911301948678e-10 \tabularnewline
219 & 0.999999998659397 & 2.68120529225681e-09 & 1.34060264612841e-09 \tabularnewline
220 & 0.999999997549669 & 4.90066299969711e-09 & 2.45033149984855e-09 \tabularnewline
221 & 0.999999995089285 & 9.82142984025996e-09 & 4.91071492012998e-09 \tabularnewline
222 & 0.999999998426754 & 3.1464927299423e-09 & 1.57324636497115e-09 \tabularnewline
223 & 0.999999998254845 & 3.49031078989786e-09 & 1.74515539494893e-09 \tabularnewline
224 & 0.999999996738986 & 6.52202749641832e-09 & 3.26101374820916e-09 \tabularnewline
225 & 0.999999995385622 & 9.22875521603538e-09 & 4.61437760801769e-09 \tabularnewline
226 & 0.999999996924786 & 6.1504281340643e-09 & 3.07521406703215e-09 \tabularnewline
227 & 0.99999999567439 & 8.65122088944675e-09 & 4.32561044472337e-09 \tabularnewline
228 & 0.999999993091344 & 1.38173116456521e-08 & 6.90865582282604e-09 \tabularnewline
229 & 0.999999993809672 & 1.23806568029065e-08 & 6.19032840145324e-09 \tabularnewline
230 & 0.99999999826616 & 3.46768022039765e-09 & 1.73384011019882e-09 \tabularnewline
231 & 0.999999997435898 & 5.12820403075185e-09 & 2.56410201537593e-09 \tabularnewline
232 & 0.999999994585161 & 1.08296789097467e-08 & 5.41483945487333e-09 \tabularnewline
233 & 0.999999995523989 & 8.95202292106434e-09 & 4.47601146053217e-09 \tabularnewline
234 & 0.999999990257155 & 1.9485688968816e-08 & 9.74284448440802e-09 \tabularnewline
235 & 0.999999981592189 & 3.68156225466106e-08 & 1.84078112733053e-08 \tabularnewline
236 & 0.9999999612902 & 7.7419600530957e-08 & 3.87098002654785e-08 \tabularnewline
237 & 0.999999936269046 & 1.27461908161617e-07 & 6.37309540808083e-08 \tabularnewline
238 & 0.99999989957328 & 2.00853439688069e-07 & 1.00426719844034e-07 \tabularnewline
239 & 0.999999829935738 & 3.40128524949842e-07 & 1.70064262474921e-07 \tabularnewline
240 & 0.999999664290291 & 6.71419417369114e-07 & 3.35709708684557e-07 \tabularnewline
241 & 0.999999397230203 & 1.2055395945271e-06 & 6.02769797263549e-07 \tabularnewline
242 & 0.999998864935384 & 2.27012923197044e-06 & 1.13506461598522e-06 \tabularnewline
243 & 0.999998539412554 & 2.9211748917377e-06 & 1.46058744586885e-06 \tabularnewline
244 & 0.999997269996322 & 5.4600073559266e-06 & 2.7300036779633e-06 \tabularnewline
245 & 0.999994725148985 & 1.05497020293967e-05 & 5.27485101469837e-06 \tabularnewline
246 & 0.999992768783327 & 1.44624333463185e-05 & 7.23121667315926e-06 \tabularnewline
247 & 0.999988385582206 & 2.32288355876041e-05 & 1.16144177938021e-05 \tabularnewline
248 & 0.999977461973969 & 4.50760520628613e-05 & 2.25380260314307e-05 \tabularnewline
249 & 0.999964912808033 & 7.01743839346512e-05 & 3.50871919673256e-05 \tabularnewline
250 & 0.999979212688818 & 4.15746223637253e-05 & 2.07873111818626e-05 \tabularnewline
251 & 0.999959445174142 & 8.11096517155702e-05 & 4.05548258577851e-05 \tabularnewline
252 & 0.999933011115523 & 0.000133977768954952 & 6.6988884477476e-05 \tabularnewline
253 & 0.99987261362341 & 0.000254772753180816 & 0.000127386376590408 \tabularnewline
254 & 0.999783736229648 & 0.000432527540703297 & 0.000216263770351648 \tabularnewline
255 & 0.999698659212589 & 0.000602681574821088 & 0.000301340787410544 \tabularnewline
256 & 0.999490194435036 & 0.00101961112992856 & 0.000509805564964278 \tabularnewline
257 & 0.999349864118014 & 0.00130027176397199 & 0.000650135881985995 \tabularnewline
258 & 0.998878573043232 & 0.00224285391353535 & 0.00112142695676767 \tabularnewline
259 & 0.998755611164183 & 0.00248877767163407 & 0.00124438883581703 \tabularnewline
260 & 0.997877771877531 & 0.0042444562449372 & 0.0021222281224686 \tabularnewline
261 & 0.997500464035603 & 0.0049990719287933 & 0.00249953596439665 \tabularnewline
262 & 0.995617305283577 & 0.0087653894328469 & 0.00438269471642345 \tabularnewline
263 & 0.993996475422992 & 0.0120070491540158 & 0.0060035245770079 \tabularnewline
264 & 0.989733222696259 & 0.0205335546074812 & 0.0102667773037406 \tabularnewline
265 & 0.984020732672009 & 0.0319585346559812 & 0.0159792673279906 \tabularnewline
266 & 0.973947003033915 & 0.0521059939321694 & 0.0260529969660847 \tabularnewline
267 & 0.963116993808289 & 0.073766012383422 & 0.036883006191711 \tabularnewline
268 & 0.945485179165873 & 0.109029641668255 & 0.0545148208341273 \tabularnewline
269 & 0.940368520741047 & 0.119262958517906 & 0.0596314792589532 \tabularnewline
270 & 0.917953085406484 & 0.164093829187032 & 0.0820469145935162 \tabularnewline
271 & 0.972776435973401 & 0.0544471280531986 & 0.0272235640265993 \tabularnewline
272 & 0.952370961138965 & 0.0952580777220692 & 0.0476290388610346 \tabularnewline
273 & 0.935404632068127 & 0.129190735863747 & 0.0645953679318733 \tabularnewline
274 & 0.944639977968733 & 0.110720044062535 & 0.0553600220312674 \tabularnewline
275 & 0.904430292055819 & 0.191139415888363 & 0.0955697079441814 \tabularnewline
276 & 0.850906324772602 & 0.298187350454797 & 0.149093675227398 \tabularnewline
277 & 0.85247846183027 & 0.295043076339459 & 0.14752153816973 \tabularnewline
278 & 0.949064838168582 & 0.101870323662837 & 0.0509351618314183 \tabularnewline
279 & 0.900423061245045 & 0.199153877509909 & 0.0995769387549546 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=153770&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]0.849482475827577[/C][C]0.301035048344846[/C][C]0.150517524172423[/C][/ROW]
[ROW][C]11[/C][C]0.791817261894999[/C][C]0.416365476210002[/C][C]0.208182738105001[/C][/ROW]
[ROW][C]12[/C][C]0.89432472447648[/C][C]0.21135055104704[/C][C]0.10567527552352[/C][/ROW]
[ROW][C]13[/C][C]0.867955378413609[/C][C]0.264089243172782[/C][C]0.132044621586391[/C][/ROW]
[ROW][C]14[/C][C]0.838999711398544[/C][C]0.322000577202912[/C][C]0.161000288601456[/C][/ROW]
[ROW][C]15[/C][C]0.84399277781755[/C][C]0.3120144443649[/C][C]0.15600722218245[/C][/ROW]
[ROW][C]16[/C][C]0.867014247409257[/C][C]0.265971505181486[/C][C]0.132985752590743[/C][/ROW]
[ROW][C]17[/C][C]0.81961113973405[/C][C]0.3607777205319[/C][C]0.18038886026595[/C][/ROW]
[ROW][C]18[/C][C]0.833460488090603[/C][C]0.333079023818794[/C][C]0.166539511909397[/C][/ROW]
[ROW][C]19[/C][C]0.858349435316548[/C][C]0.283301129366905[/C][C]0.141650564683452[/C][/ROW]
[ROW][C]20[/C][C]0.832303935624916[/C][C]0.335392128750167[/C][C]0.167696064375084[/C][/ROW]
[ROW][C]21[/C][C]0.779489225667979[/C][C]0.441021548664043[/C][C]0.220510774332021[/C][/ROW]
[ROW][C]22[/C][C]0.726724174913362[/C][C]0.546551650173277[/C][C]0.273275825086638[/C][/ROW]
[ROW][C]23[/C][C]0.719168906893424[/C][C]0.561662186213152[/C][C]0.280831093106576[/C][/ROW]
[ROW][C]24[/C][C]0.671984523553053[/C][C]0.656030952893894[/C][C]0.328015476446947[/C][/ROW]
[ROW][C]25[/C][C]0.607589361396071[/C][C]0.784821277207857[/C][C]0.392410638603929[/C][/ROW]
[ROW][C]26[/C][C]0.612019601881125[/C][C]0.77596079623775[/C][C]0.387980398118875[/C][/ROW]
[ROW][C]27[/C][C]0.601092964031513[/C][C]0.797814071936975[/C][C]0.398907035968487[/C][/ROW]
[ROW][C]28[/C][C]0.538555607399285[/C][C]0.922888785201431[/C][C]0.461444392600716[/C][/ROW]
[ROW][C]29[/C][C]0.520891561442635[/C][C]0.958216877114729[/C][C]0.479108438557365[/C][/ROW]
[ROW][C]30[/C][C]0.53681510553071[/C][C]0.92636978893858[/C][C]0.46318489446929[/C][/ROW]
[ROW][C]31[/C][C]0.49424069929422[/C][C]0.988481398588439[/C][C]0.50575930070578[/C][/ROW]
[ROW][C]32[/C][C]0.512231328454126[/C][C]0.975537343091749[/C][C]0.487768671545874[/C][/ROW]
[ROW][C]33[/C][C]0.482609043058266[/C][C]0.965218086116533[/C][C]0.517390956941734[/C][/ROW]
[ROW][C]34[/C][C]0.43600507507712[/C][C]0.872010150154241[/C][C]0.56399492492288[/C][/ROW]
[ROW][C]35[/C][C]0.379870313753293[/C][C]0.759740627506586[/C][C]0.620129686246707[/C][/ROW]
[ROW][C]36[/C][C]0.32744242630639[/C][C]0.654884852612781[/C][C]0.67255757369361[/C][/ROW]
[ROW][C]37[/C][C]0.324078753989517[/C][C]0.648157507979034[/C][C]0.675921246010483[/C][/ROW]
[ROW][C]38[/C][C]0.297647251450621[/C][C]0.595294502901242[/C][C]0.702352748549379[/C][/ROW]
[ROW][C]39[/C][C]0.256954506833366[/C][C]0.513909013666732[/C][C]0.743045493166634[/C][/ROW]
[ROW][C]40[/C][C]0.260984877553836[/C][C]0.521969755107672[/C][C]0.739015122446164[/C][/ROW]
[ROW][C]41[/C][C]0.227594941780233[/C][C]0.455189883560466[/C][C]0.772405058219767[/C][/ROW]
[ROW][C]42[/C][C]0.207041343998742[/C][C]0.414082687997484[/C][C]0.792958656001258[/C][/ROW]
[ROW][C]43[/C][C]0.184223578934609[/C][C]0.368447157869218[/C][C]0.815776421065391[/C][/ROW]
[ROW][C]44[/C][C]0.154399569977311[/C][C]0.308799139954622[/C][C]0.845600430022689[/C][/ROW]
[ROW][C]45[/C][C]0.231135379802065[/C][C]0.46227075960413[/C][C]0.768864620197935[/C][/ROW]
[ROW][C]46[/C][C]0.209730366379871[/C][C]0.419460732759742[/C][C]0.790269633620129[/C][/ROW]
[ROW][C]47[/C][C]0.17623723148358[/C][C]0.35247446296716[/C][C]0.82376276851642[/C][/ROW]
[ROW][C]48[/C][C]0.150712909740218[/C][C]0.301425819480436[/C][C]0.849287090259782[/C][/ROW]
[ROW][C]49[/C][C]0.125186741993424[/C][C]0.250373483986849[/C][C]0.874813258006576[/C][/ROW]
[ROW][C]50[/C][C]0.138494976413354[/C][C]0.276989952826708[/C][C]0.861505023586646[/C][/ROW]
[ROW][C]51[/C][C]0.139606071422432[/C][C]0.279212142844863[/C][C]0.860393928577568[/C][/ROW]
[ROW][C]52[/C][C]0.11924985121135[/C][C]0.2384997024227[/C][C]0.88075014878865[/C][/ROW]
[ROW][C]53[/C][C]0.0973278669365263[/C][C]0.194655733873053[/C][C]0.902672133063474[/C][/ROW]
[ROW][C]54[/C][C]0.107006095318426[/C][C]0.214012190636851[/C][C]0.892993904681574[/C][/ROW]
[ROW][C]55[/C][C]0.0907919257401835[/C][C]0.181583851480367[/C][C]0.909208074259817[/C][/ROW]
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[ROW][C]125[/C][C]0.999999999964983[/C][C]7.0034476369666e-11[/C][C]3.5017238184833e-11[/C][/ROW]
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[ROW][C]128[/C][C]0.999999999888826[/C][C]2.22348644526157e-10[/C][C]1.11174322263079e-10[/C][/ROW]
[ROW][C]129[/C][C]0.999999999834946[/C][C]3.30107378486211e-10[/C][C]1.65053689243105e-10[/C][/ROW]
[ROW][C]130[/C][C]0.999999999739046[/C][C]5.21908064358841e-10[/C][C]2.6095403217942e-10[/C][/ROW]
[ROW][C]131[/C][C]0.999999999588684[/C][C]8.22631872697234e-10[/C][C]4.11315936348617e-10[/C][/ROW]
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[ROW][C]135[/C][C]0.999999999218535[/C][C]1.56292965008151e-09[/C][C]7.81464825040755e-10[/C][/ROW]
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[ROW][C]167[/C][C]0.999999999987288[/C][C]2.54244493181112e-11[/C][C]1.27122246590556e-11[/C][/ROW]
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[ROW][C]179[/C][C]0.999999999999993[/C][C]1.33271118593428e-14[/C][C]6.6635559296714e-15[/C][/ROW]
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[ROW][C]186[/C][C]0.999999999999936[/C][C]1.28474880163366e-13[/C][C]6.42374400816832e-14[/C][/ROW]
[ROW][C]187[/C][C]0.999999999999879[/C][C]2.41882516104077e-13[/C][C]1.20941258052039e-13[/C][/ROW]
[ROW][C]188[/C][C]0.999999999999747[/C][C]5.05119785609954e-13[/C][C]2.52559892804977e-13[/C][/ROW]
[ROW][C]189[/C][C]0.99999999999952[/C][C]9.6064769211728e-13[/C][C]4.8032384605864e-13[/C][/ROW]
[ROW][C]190[/C][C]0.999999999999212[/C][C]1.57624753255825e-12[/C][C]7.88123766279125e-13[/C][/ROW]
[ROW][C]191[/C][C]0.999999999999448[/C][C]1.10431188487127e-12[/C][C]5.52155942435635e-13[/C][/ROW]
[ROW][C]192[/C][C]0.999999999998888[/C][C]2.22482588333266e-12[/C][C]1.11241294166633e-12[/C][/ROW]
[ROW][C]193[/C][C]0.999999999998243[/C][C]3.51460934133964e-12[/C][C]1.75730467066982e-12[/C][/ROW]
[ROW][C]194[/C][C]0.999999999996424[/C][C]7.15293229408647e-12[/C][C]3.57646614704323e-12[/C][/ROW]
[ROW][C]195[/C][C]0.999999999997347[/C][C]5.30618867085603e-12[/C][C]2.65309433542801e-12[/C][/ROW]
[ROW][C]196[/C][C]0.999999999995265[/C][C]9.4692911427882e-12[/C][C]4.7346455713941e-12[/C][/ROW]
[ROW][C]197[/C][C]0.999999999990633[/C][C]1.87335768583714e-11[/C][C]9.36678842918571e-12[/C][/ROW]
[ROW][C]198[/C][C]0.999999999999862[/C][C]2.75396093191824e-13[/C][C]1.37698046595912e-13[/C][/ROW]
[ROW][C]199[/C][C]0.999999999999884[/C][C]2.32487331658933e-13[/C][C]1.16243665829467e-13[/C][/ROW]
[ROW][C]200[/C][C]0.999999999999903[/C][C]1.94171371689183e-13[/C][C]9.70856858445915e-14[/C][/ROW]
[ROW][C]201[/C][C]0.999999999999793[/C][C]4.14144806801617e-13[/C][C]2.07072403400808e-13[/C][/ROW]
[ROW][C]202[/C][C]0.999999999999785[/C][C]4.30544589448137e-13[/C][C]2.15272294724068e-13[/C][/ROW]
[ROW][C]203[/C][C]0.999999999999546[/C][C]9.08222245023404e-13[/C][C]4.54111122511702e-13[/C][/ROW]
[ROW][C]204[/C][C]0.999999999999289[/C][C]1.42172838556815e-12[/C][C]7.10864192784073e-13[/C][/ROW]
[ROW][C]205[/C][C]0.999999999998821[/C][C]2.35722368860614e-12[/C][C]1.17861184430307e-12[/C][/ROW]
[ROW][C]206[/C][C]0.999999999997636[/C][C]4.72824432362232e-12[/C][C]2.36412216181116e-12[/C][/ROW]
[ROW][C]207[/C][C]0.999999999995792[/C][C]8.41644465504369e-12[/C][C]4.20822232752185e-12[/C][/ROW]
[ROW][C]208[/C][C]0.99999999999105[/C][C]1.78989238177776e-11[/C][C]8.94946190888879e-12[/C][/ROW]
[ROW][C]209[/C][C]0.999999999984266[/C][C]3.146734410143e-11[/C][C]1.5733672050715e-11[/C][/ROW]
[ROW][C]210[/C][C]0.999999999986016[/C][C]2.79690003872538e-11[/C][C]1.39845001936269e-11[/C][/ROW]
[ROW][C]211[/C][C]0.999999999977049[/C][C]4.59010243448164e-11[/C][C]2.29505121724082e-11[/C][/ROW]
[ROW][C]212[/C][C]0.999999999955998[/C][C]8.80038096579399e-11[/C][C]4.400190482897e-11[/C][/ROW]
[ROW][C]213[/C][C]0.999999999907858[/C][C]1.84282980638633e-10[/C][C]9.21414903193167e-11[/C][/ROW]
[ROW][C]214[/C][C]0.999999999811708[/C][C]3.76584983970732e-10[/C][C]1.88292491985366e-10[/C][/ROW]
[ROW][C]215[/C][C]0.99999999966944[/C][C]6.6111942362437e-10[/C][C]3.30559711812185e-10[/C][/ROW]
[ROW][C]216[/C][C]0.99999999960366[/C][C]7.92679825842371e-10[/C][C]3.96339912921186e-10[/C][/ROW]
[ROW][C]217[/C][C]0.999999999201411[/C][C]1.59717838354278e-09[/C][C]7.98589191771391e-10[/C][/ROW]
[ROW][C]218[/C][C]0.999999999251089[/C][C]1.49782260389736e-09[/C][C]7.48911301948678e-10[/C][/ROW]
[ROW][C]219[/C][C]0.999999998659397[/C][C]2.68120529225681e-09[/C][C]1.34060264612841e-09[/C][/ROW]
[ROW][C]220[/C][C]0.999999997549669[/C][C]4.90066299969711e-09[/C][C]2.45033149984855e-09[/C][/ROW]
[ROW][C]221[/C][C]0.999999995089285[/C][C]9.82142984025996e-09[/C][C]4.91071492012998e-09[/C][/ROW]
[ROW][C]222[/C][C]0.999999998426754[/C][C]3.1464927299423e-09[/C][C]1.57324636497115e-09[/C][/ROW]
[ROW][C]223[/C][C]0.999999998254845[/C][C]3.49031078989786e-09[/C][C]1.74515539494893e-09[/C][/ROW]
[ROW][C]224[/C][C]0.999999996738986[/C][C]6.52202749641832e-09[/C][C]3.26101374820916e-09[/C][/ROW]
[ROW][C]225[/C][C]0.999999995385622[/C][C]9.22875521603538e-09[/C][C]4.61437760801769e-09[/C][/ROW]
[ROW][C]226[/C][C]0.999999996924786[/C][C]6.1504281340643e-09[/C][C]3.07521406703215e-09[/C][/ROW]
[ROW][C]227[/C][C]0.99999999567439[/C][C]8.65122088944675e-09[/C][C]4.32561044472337e-09[/C][/ROW]
[ROW][C]228[/C][C]0.999999993091344[/C][C]1.38173116456521e-08[/C][C]6.90865582282604e-09[/C][/ROW]
[ROW][C]229[/C][C]0.999999993809672[/C][C]1.23806568029065e-08[/C][C]6.19032840145324e-09[/C][/ROW]
[ROW][C]230[/C][C]0.99999999826616[/C][C]3.46768022039765e-09[/C][C]1.73384011019882e-09[/C][/ROW]
[ROW][C]231[/C][C]0.999999997435898[/C][C]5.12820403075185e-09[/C][C]2.56410201537593e-09[/C][/ROW]
[ROW][C]232[/C][C]0.999999994585161[/C][C]1.08296789097467e-08[/C][C]5.41483945487333e-09[/C][/ROW]
[ROW][C]233[/C][C]0.999999995523989[/C][C]8.95202292106434e-09[/C][C]4.47601146053217e-09[/C][/ROW]
[ROW][C]234[/C][C]0.999999990257155[/C][C]1.9485688968816e-08[/C][C]9.74284448440802e-09[/C][/ROW]
[ROW][C]235[/C][C]0.999999981592189[/C][C]3.68156225466106e-08[/C][C]1.84078112733053e-08[/C][/ROW]
[ROW][C]236[/C][C]0.9999999612902[/C][C]7.7419600530957e-08[/C][C]3.87098002654785e-08[/C][/ROW]
[ROW][C]237[/C][C]0.999999936269046[/C][C]1.27461908161617e-07[/C][C]6.37309540808083e-08[/C][/ROW]
[ROW][C]238[/C][C]0.99999989957328[/C][C]2.00853439688069e-07[/C][C]1.00426719844034e-07[/C][/ROW]
[ROW][C]239[/C][C]0.999999829935738[/C][C]3.40128524949842e-07[/C][C]1.70064262474921e-07[/C][/ROW]
[ROW][C]240[/C][C]0.999999664290291[/C][C]6.71419417369114e-07[/C][C]3.35709708684557e-07[/C][/ROW]
[ROW][C]241[/C][C]0.999999397230203[/C][C]1.2055395945271e-06[/C][C]6.02769797263549e-07[/C][/ROW]
[ROW][C]242[/C][C]0.999998864935384[/C][C]2.27012923197044e-06[/C][C]1.13506461598522e-06[/C][/ROW]
[ROW][C]243[/C][C]0.999998539412554[/C][C]2.9211748917377e-06[/C][C]1.46058744586885e-06[/C][/ROW]
[ROW][C]244[/C][C]0.999997269996322[/C][C]5.4600073559266e-06[/C][C]2.7300036779633e-06[/C][/ROW]
[ROW][C]245[/C][C]0.999994725148985[/C][C]1.05497020293967e-05[/C][C]5.27485101469837e-06[/C][/ROW]
[ROW][C]246[/C][C]0.999992768783327[/C][C]1.44624333463185e-05[/C][C]7.23121667315926e-06[/C][/ROW]
[ROW][C]247[/C][C]0.999988385582206[/C][C]2.32288355876041e-05[/C][C]1.16144177938021e-05[/C][/ROW]
[ROW][C]248[/C][C]0.999977461973969[/C][C]4.50760520628613e-05[/C][C]2.25380260314307e-05[/C][/ROW]
[ROW][C]249[/C][C]0.999964912808033[/C][C]7.01743839346512e-05[/C][C]3.50871919673256e-05[/C][/ROW]
[ROW][C]250[/C][C]0.999979212688818[/C][C]4.15746223637253e-05[/C][C]2.07873111818626e-05[/C][/ROW]
[ROW][C]251[/C][C]0.999959445174142[/C][C]8.11096517155702e-05[/C][C]4.05548258577851e-05[/C][/ROW]
[ROW][C]252[/C][C]0.999933011115523[/C][C]0.000133977768954952[/C][C]6.6988884477476e-05[/C][/ROW]
[ROW][C]253[/C][C]0.99987261362341[/C][C]0.000254772753180816[/C][C]0.000127386376590408[/C][/ROW]
[ROW][C]254[/C][C]0.999783736229648[/C][C]0.000432527540703297[/C][C]0.000216263770351648[/C][/ROW]
[ROW][C]255[/C][C]0.999698659212589[/C][C]0.000602681574821088[/C][C]0.000301340787410544[/C][/ROW]
[ROW][C]256[/C][C]0.999490194435036[/C][C]0.00101961112992856[/C][C]0.000509805564964278[/C][/ROW]
[ROW][C]257[/C][C]0.999349864118014[/C][C]0.00130027176397199[/C][C]0.000650135881985995[/C][/ROW]
[ROW][C]258[/C][C]0.998878573043232[/C][C]0.00224285391353535[/C][C]0.00112142695676767[/C][/ROW]
[ROW][C]259[/C][C]0.998755611164183[/C][C]0.00248877767163407[/C][C]0.00124438883581703[/C][/ROW]
[ROW][C]260[/C][C]0.997877771877531[/C][C]0.0042444562449372[/C][C]0.0021222281224686[/C][/ROW]
[ROW][C]261[/C][C]0.997500464035603[/C][C]0.0049990719287933[/C][C]0.00249953596439665[/C][/ROW]
[ROW][C]262[/C][C]0.995617305283577[/C][C]0.0087653894328469[/C][C]0.00438269471642345[/C][/ROW]
[ROW][C]263[/C][C]0.993996475422992[/C][C]0.0120070491540158[/C][C]0.0060035245770079[/C][/ROW]
[ROW][C]264[/C][C]0.989733222696259[/C][C]0.0205335546074812[/C][C]0.0102667773037406[/C][/ROW]
[ROW][C]265[/C][C]0.984020732672009[/C][C]0.0319585346559812[/C][C]0.0159792673279906[/C][/ROW]
[ROW][C]266[/C][C]0.973947003033915[/C][C]0.0521059939321694[/C][C]0.0260529969660847[/C][/ROW]
[ROW][C]267[/C][C]0.963116993808289[/C][C]0.073766012383422[/C][C]0.036883006191711[/C][/ROW]
[ROW][C]268[/C][C]0.945485179165873[/C][C]0.109029641668255[/C][C]0.0545148208341273[/C][/ROW]
[ROW][C]269[/C][C]0.940368520741047[/C][C]0.119262958517906[/C][C]0.0596314792589532[/C][/ROW]
[ROW][C]270[/C][C]0.917953085406484[/C][C]0.164093829187032[/C][C]0.0820469145935162[/C][/ROW]
[ROW][C]271[/C][C]0.972776435973401[/C][C]0.0544471280531986[/C][C]0.0272235640265993[/C][/ROW]
[ROW][C]272[/C][C]0.952370961138965[/C][C]0.0952580777220692[/C][C]0.0476290388610346[/C][/ROW]
[ROW][C]273[/C][C]0.935404632068127[/C][C]0.129190735863747[/C][C]0.0645953679318733[/C][/ROW]
[ROW][C]274[/C][C]0.944639977968733[/C][C]0.110720044062535[/C][C]0.0553600220312674[/C][/ROW]
[ROW][C]275[/C][C]0.904430292055819[/C][C]0.191139415888363[/C][C]0.0955697079441814[/C][/ROW]
[ROW][C]276[/C][C]0.850906324772602[/C][C]0.298187350454797[/C][C]0.149093675227398[/C][/ROW]
[ROW][C]277[/C][C]0.85247846183027[/C][C]0.295043076339459[/C][C]0.14752153816973[/C][/ROW]
[ROW][C]278[/C][C]0.949064838168582[/C][C]0.101870323662837[/C][C]0.0509351618314183[/C][/ROW]
[ROW][C]279[/C][C]0.900423061245045[/C][C]0.199153877509909[/C][C]0.0995769387549546[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=153770&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153770&T=5

As an alternative you can also use a QR Code:  

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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.8494824758275770.3010350483448460.150517524172423
110.7918172618949990.4163654762100020.208182738105001
120.894324724476480.211350551047040.10567527552352
130.8679553784136090.2640892431727820.132044621586391
140.8389997113985440.3220005772029120.161000288601456
150.843992777817550.31201444436490.15600722218245
160.8670142474092570.2659715051814860.132985752590743
170.819611139734050.36077772053190.18038886026595
180.8334604880906030.3330790238187940.166539511909397
190.8583494353165480.2833011293669050.141650564683452
200.8323039356249160.3353921287501670.167696064375084
210.7794892256679790.4410215486640430.220510774332021
220.7267241749133620.5465516501732770.273275825086638
230.7191689068934240.5616621862131520.280831093106576
240.6719845235530530.6560309528938940.328015476446947
250.6075893613960710.7848212772078570.392410638603929
260.6120196018811250.775960796237750.387980398118875
270.6010929640315130.7978140719369750.398907035968487
280.5385556073992850.9228887852014310.461444392600716
290.5208915614426350.9582168771147290.479108438557365
300.536815105530710.926369788938580.46318489446929
310.494240699294220.9884813985884390.50575930070578
320.5122313284541260.9755373430917490.487768671545874
330.4826090430582660.9652180861165330.517390956941734
340.436005075077120.8720101501542410.56399492492288
350.3798703137532930.7597406275065860.620129686246707
360.327442426306390.6548848526127810.67255757369361
370.3240787539895170.6481575079790340.675921246010483
380.2976472514506210.5952945029012420.702352748549379
390.2569545068333660.5139090136667320.743045493166634
400.2609848775538360.5219697551076720.739015122446164
410.2275949417802330.4551898835604660.772405058219767
420.2070413439987420.4140826879974840.792958656001258
430.1842235789346090.3684471578692180.815776421065391
440.1543995699773110.3087991399546220.845600430022689
450.2311353798020650.462270759604130.768864620197935
460.2097303663798710.4194607327597420.790269633620129
470.176237231483580.352474462967160.82376276851642
480.1507129097402180.3014258194804360.849287090259782
490.1251867419934240.2503734839868490.874813258006576
500.1384949764133540.2769899528267080.861505023586646
510.1396060714224320.2792121428448630.860393928577568
520.119249851211350.23849970242270.88075014878865
530.09732786693652630.1946557338730530.902672133063474
540.1070060953184260.2140121906368510.892993904681574
550.09079192574018350.1815838514803670.909208074259817
560.07399956527498220.1479991305499640.926000434725018
570.06141552126849660.1228310425369930.938584478731503
580.05967223791639710.1193444758327940.940327762083603
590.04948594768178730.09897189536357460.950514052318213
600.04044942878411510.08089885756823020.959550571215885
610.03252109448472990.06504218896945980.96747890551527
620.04947715127677190.09895430255354390.950522848723228
630.07010536289676510.140210725793530.929894637103235
640.0609903200154420.1219806400308840.939009679984558
650.07100836184122620.1420167236824520.928991638158774
660.05897843096359910.1179568619271980.941021569036401
670.06509637146254010.130192742925080.93490362853746
680.05341488728074540.1068297745614910.946585112719255
690.1043534721715010.2087069443430020.895646527828499
700.1380448151208010.2760896302416020.861955184879199
710.117285415952470.2345708319049410.88271458404753
720.1399130634061130.2798261268122260.860086936593887
730.1249091943094990.2498183886189970.875090805690501
740.1453760460579460.2907520921158910.854623953942054
750.1411156429724160.2822312859448320.858884357027584
760.1197299688954720.2394599377909450.880270031104528
770.106869296186250.2137385923725010.89313070381375
780.1301044242741590.2602088485483190.869895575725841
790.1325727503775790.2651455007551580.867427249622421
800.1248155635057890.2496311270115780.875184436494211
810.1116814139350240.2233628278700480.888318586064976
820.09992297188021450.1998459437604290.900077028119785
830.09800610366205460.1960122073241090.901993896337945
840.08341926033846020.166838520676920.91658073966154
850.95843510540190.08312978919620020.0415648945981001
860.9553672132927380.08926557341452350.0446327867072618
870.9465028464940060.1069943070119880.053497153505994
880.936702778569120.1265944428617590.0632972214308795
890.9255546368865980.1488907262268050.0744453631134024
900.9241306467392640.1517387065214720.0758693532607361
910.9136333346343750.172733330731250.0863666653656251
920.9099621759063210.1800756481873580.0900378240936788
930.9053391389753430.1893217220493130.0946608610246567
940.8993780934769880.2012438130460240.100621906523012
950.8967030960696560.2065938078606890.103296903930344
960.8847701048982870.2304597902034250.115229895101713
970.8855243650835270.2289512698329460.114475634916473
980.9020357381774220.1959285236451550.0979642618225776
990.9203659337667150.159268132466570.079634066233285
1000.9063844801731160.1872310396537680.0936155198268842
1010.8934974946272520.2130050107454960.106502505372748
1020.9017796047520850.1964407904958310.0982203952479153
1030.9126182548179880.1747634903640240.087381745182012
1040.9515276073525760.09694478529484830.0484723926474241
1050.9796165294413290.04076694111734230.0203834705586712
1060.9920798972445890.01584020551082170.00792010275541087
1070.9915813755302520.01683724893949520.00841862446974759
1080.9899762025911160.0200475948177690.0100237974088845
1090.9927504542888180.01449909142236440.00724954571118219
1100.9909886512679020.01802269746419510.00901134873209753
1110.992338498433740.01532300313252010.00766150156626007
1120.9929967681677420.0140064636645160.00700323183225801
1130.9915508108367160.01689837832656830.00844918916328417
1140.9928512075045290.01429758499094170.00714879249547085
1150.9912611305828340.0174777388343320.00873886941716599
1160.9890744992398150.021851001520370.010925500760185
1170.9891670914823250.02166581703534940.0108329085176747
1180.9876610492654840.02467790146903250.0123389507345162
1190.9999999966123396.77532217990196e-093.38766108995098e-09
1200.9999999944463861.11072282580048e-085.5536141290024e-09
1210.9999999916097351.67805302838434e-088.39026514192169e-09
1220.9999999882505792.34988426970841e-081.1749421348542e-08
1230.9999999835706143.28587713034844e-081.64293856517422e-08
1240.9999999999212891.57421385686825e-107.87106928434127e-11
1250.9999999999649837.0034476369666e-113.5017238184833e-11
1260.9999999999542719.14577896331119e-114.5728894816556e-11
1270.9999999999220681.55863523819188e-107.79317619095939e-11
1280.9999999998888262.22348644526157e-101.11174322263079e-10
1290.9999999998349463.30107378486211e-101.65053689243105e-10
1300.9999999997390465.21908064358841e-102.6095403217942e-10
1310.9999999995886848.22631872697234e-104.11315936348617e-10
1320.9999999994741961.05160759204844e-095.25803796024221e-10
1330.9999999991960411.60791753591832e-098.03958767959161e-10
1340.9999999987331572.53368557479318e-091.26684278739659e-09
1350.9999999992185351.56292965008151e-097.81464825040755e-10
1360.9999999991011091.79778207802232e-098.9889103901116e-10
1370.9999999985498862.90022738436956e-091.45011369218478e-09
1380.9999999983498523.30029589038504e-091.65014794519252e-09
1390.9999999990026981.99460492966605e-099.97302464833023e-10
1400.9999999983602943.27941246917124e-091.63970623458562e-09
1410.99999999747435.0513995612049e-092.52569978060245e-09
1420.9999999969109726.17805562921997e-093.08902781460999e-09
1430.9999999953653089.26938331943452e-094.63469165971726e-09
1440.9999999944015161.1196967680319e-085.59848384015951e-09
1450.9999999926003291.47993427443168e-087.3996713721584e-09
1460.9999999882436522.35126957051788e-081.17563478525894e-08
1470.9999999838448783.23102434715769e-081.61551217357885e-08
1480.9999999985076192.98476242018775e-091.49238121009388e-09
1490.9999999976125784.77484373148653e-092.38742186574327e-09
1500.9999999968757726.24845647997402e-093.12422823998701e-09
1510.9999999958116438.37671325520335e-094.18835662760168e-09
1520.9999999934698941.30602117658724e-086.53010588293621e-09
1530.9999999894787892.10424215488566e-081.05212107744283e-08
1540.9999999901705841.96588313036688e-089.8294156518344e-09
1550.9999999857980142.84039725996884e-081.42019862998442e-08
1560.999999999984283.14405056108711e-111.57202528054355e-11
1570.9999999999725815.48383515655813e-112.74191757827906e-11
1580.999999999951299.74191126567244e-114.87095563283622e-11
1590.9999999999306311.38737384473648e-106.9368692236824e-11
1600.9999999998853822.29236710207737e-101.14618355103869e-10
1610.9999999997983944.03212754383145e-102.01606377191572e-10
1620.9999999999947091.05828741188367e-115.29143705941837e-12
1630.9999999999905091.89817611345365e-119.49088056726825e-12
1640.9999999999949061.01875552181134e-115.0937776090567e-12
1650.9999999999919471.61051271752733e-118.05256358763667e-12
1660.999999999987262.54798344625119e-111.27399172312559e-11
1670.9999999999872882.54244493181112e-111.27122246590556e-11
1680.9999999999925961.4808589838979e-117.40429491948948e-12
1690.9999999999907951.84094942568313e-119.20474712841564e-12
1700.9999999999957238.55345583553998e-124.27672791776999e-12
1710.9999999999920521.58952008737338e-117.94760043686692e-12
1720.9999999999885322.29358230126322e-111.14679115063161e-11
1730.9999999999842043.15920398846317e-111.57960199423158e-11
1740.9999999999816313.67376638691747e-111.83688319345874e-11
1750.9999999999817693.64619754334442e-111.82309877167221e-11
1760.9999999999666746.66525254456886e-113.33262627228443e-11
1770.9999999999998722.5686272255024e-131.2843136127512e-13
1780.9999999999997854.29693632773231e-132.14846816386616e-13
1790.9999999999999931.33271118593428e-146.6635559296714e-15
1800.9999999999999911.87447392053745e-149.37236960268727e-15
1810.9999999999999813.77722238748605e-141.88861119374303e-14
1820.9999999999999696.1221390142796e-143.0610695071398e-14
1830.9999999999999361.28532632432255e-136.42663162161273e-14
1840.9999999999998822.36869546780919e-131.1843477339046e-13
1850.9999999999999696.10609533988263e-143.05304766994131e-14
1860.9999999999999361.28474880163366e-136.42374400816832e-14
1870.9999999999998792.41882516104077e-131.20941258052039e-13
1880.9999999999997475.05119785609954e-132.52559892804977e-13
1890.999999999999529.6064769211728e-134.8032384605864e-13
1900.9999999999992121.57624753255825e-127.88123766279125e-13
1910.9999999999994481.10431188487127e-125.52155942435635e-13
1920.9999999999988882.22482588333266e-121.11241294166633e-12
1930.9999999999982433.51460934133964e-121.75730467066982e-12
1940.9999999999964247.15293229408647e-123.57646614704323e-12
1950.9999999999973475.30618867085603e-122.65309433542801e-12
1960.9999999999952659.4692911427882e-124.7346455713941e-12
1970.9999999999906331.87335768583714e-119.36678842918571e-12
1980.9999999999998622.75396093191824e-131.37698046595912e-13
1990.9999999999998842.32487331658933e-131.16243665829467e-13
2000.9999999999999031.94171371689183e-139.70856858445915e-14
2010.9999999999997934.14144806801617e-132.07072403400808e-13
2020.9999999999997854.30544589448137e-132.15272294724068e-13
2030.9999999999995469.08222245023404e-134.54111122511702e-13
2040.9999999999992891.42172838556815e-127.10864192784073e-13
2050.9999999999988212.35722368860614e-121.17861184430307e-12
2060.9999999999976364.72824432362232e-122.36412216181116e-12
2070.9999999999957928.41644465504369e-124.20822232752185e-12
2080.999999999991051.78989238177776e-118.94946190888879e-12
2090.9999999999842663.146734410143e-111.5733672050715e-11
2100.9999999999860162.79690003872538e-111.39845001936269e-11
2110.9999999999770494.59010243448164e-112.29505121724082e-11
2120.9999999999559988.80038096579399e-114.400190482897e-11
2130.9999999999078581.84282980638633e-109.21414903193167e-11
2140.9999999998117083.76584983970732e-101.88292491985366e-10
2150.999999999669446.6111942362437e-103.30559711812185e-10
2160.999999999603667.92679825842371e-103.96339912921186e-10
2170.9999999992014111.59717838354278e-097.98589191771391e-10
2180.9999999992510891.49782260389736e-097.48911301948678e-10
2190.9999999986593972.68120529225681e-091.34060264612841e-09
2200.9999999975496694.90066299969711e-092.45033149984855e-09
2210.9999999950892859.82142984025996e-094.91071492012998e-09
2220.9999999984267543.1464927299423e-091.57324636497115e-09
2230.9999999982548453.49031078989786e-091.74515539494893e-09
2240.9999999967389866.52202749641832e-093.26101374820916e-09
2250.9999999953856229.22875521603538e-094.61437760801769e-09
2260.9999999969247866.1504281340643e-093.07521406703215e-09
2270.999999995674398.65122088944675e-094.32561044472337e-09
2280.9999999930913441.38173116456521e-086.90865582282604e-09
2290.9999999938096721.23806568029065e-086.19032840145324e-09
2300.999999998266163.46768022039765e-091.73384011019882e-09
2310.9999999974358985.12820403075185e-092.56410201537593e-09
2320.9999999945851611.08296789097467e-085.41483945487333e-09
2330.9999999955239898.95202292106434e-094.47601146053217e-09
2340.9999999902571551.9485688968816e-089.74284448440802e-09
2350.9999999815921893.68156225466106e-081.84078112733053e-08
2360.99999996129027.7419600530957e-083.87098002654785e-08
2370.9999999362690461.27461908161617e-076.37309540808083e-08
2380.999999899573282.00853439688069e-071.00426719844034e-07
2390.9999998299357383.40128524949842e-071.70064262474921e-07
2400.9999996642902916.71419417369114e-073.35709708684557e-07
2410.9999993972302031.2055395945271e-066.02769797263549e-07
2420.9999988649353842.27012923197044e-061.13506461598522e-06
2430.9999985394125542.9211748917377e-061.46058744586885e-06
2440.9999972699963225.4600073559266e-062.7300036779633e-06
2450.9999947251489851.05497020293967e-055.27485101469837e-06
2460.9999927687833271.44624333463185e-057.23121667315926e-06
2470.9999883855822062.32288355876041e-051.16144177938021e-05
2480.9999774619739694.50760520628613e-052.25380260314307e-05
2490.9999649128080337.01743839346512e-053.50871919673256e-05
2500.9999792126888184.15746223637253e-052.07873111818626e-05
2510.9999594451741428.11096517155702e-054.05548258577851e-05
2520.9999330111155230.0001339777689549526.6988884477476e-05
2530.999872613623410.0002547727531808160.000127386376590408
2540.9997837362296480.0004325275407032970.000216263770351648
2550.9996986592125890.0006026815748210880.000301340787410544
2560.9994901944350360.001019611129928560.000509805564964278
2570.9993498641180140.001300271763971990.000650135881985995
2580.9988785730432320.002242853913535350.00112142695676767
2590.9987556111641830.002488777671634070.00124438883581703
2600.9978777718775310.00424445624493720.0021222281224686
2610.9975004640356030.00499907192879330.00249953596439665
2620.9956173052835770.00876538943284690.00438269471642345
2630.9939964754229920.01200704915401580.0060035245770079
2640.9897332226962590.02053355460748120.0102667773037406
2650.9840207326720090.03195853465598120.0159792673279906
2660.9739470030339150.05210599393216940.0260529969660847
2670.9631169938082890.0737660123834220.036883006191711
2680.9454851791658730.1090296416682550.0545148208341273
2690.9403685207410470.1192629585179060.0596314792589532
2700.9179530854064840.1640938291870320.0820469145935162
2710.9727764359734010.05444712805319860.0272235640265993
2720.9523709611389650.09525807772206920.0476290388610346
2730.9354046320681270.1291907358637470.0645953679318733
2740.9446399779687330.1107200440625350.0553600220312674
2750.9044302920558190.1911394158883630.0955697079441814
2760.8509063247726020.2981873504547970.149093675227398
2770.852478461830270.2950430763394590.14752153816973
2780.9490648381685820.1018703236628370.0509351618314183
2790.9004230612450450.1991538775099090.0995769387549546







Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1440.533333333333333NOK
5% type I error level1610.596296296296296NOK
10% type I error level1720.637037037037037NOK

\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 & 144 & 0.533333333333333 & NOK \tabularnewline
5% type I error level & 161 & 0.596296296296296 & NOK \tabularnewline
10% type I error level & 172 & 0.637037037037037 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=153770&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]144[/C][C]0.533333333333333[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]161[/C][C]0.596296296296296[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]172[/C][C]0.637037037037037[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=153770&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153770&T=6

As an alternative you can also use a QR Code:  

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 level1440.533333333333333NOK
5% type I error level1610.596296296296296NOK
10% type I error level1720.637037037037037NOK



Parameters (Session):
par1 = kendall ;
Parameters (R input):
par1 = 7 ; 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')
}