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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 computationThu, 06 Dec 2012 07:16:51 -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/2012/Dec/06/t1354796254jfl4klb4nsurqno.htm/, Retrieved Fri, 19 Apr 2024 20:49:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=197032, Retrieved Fri, 19 Apr 2024 20:49:41 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact121
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 18:04:16] [b98453cac15ba1066b407e146608df68]
- RMPD  [Kendall tau Correlation Matrix] [WS 10 Kendall's tau] [2012-12-06 12:00:22] [677a26acc722ccb2eb1c0d7cc83e1e7a]
- RMP       [Multiple Regression] [WS 10 multiple r...] [2012-12-06 12:16:51] [b5e957cef4f8312b4131adee035e148e] [Current]
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Dataseries X:
1418	210907	56	3	79	30	115	112285	24188	144	145
869	120982	56	4	58	28	109	84786	18273	103	101
1530	176508	54	12	60	38	146	83123	14130	98	98
2172	179321	89	2	108	30	116	101193	32287	135	132
901	123185	40	1	49	22	68	38361	8654	61	60
463	52746	25	3	0	26	101	68504	9245	39	38
3201	385534	92	0	121	25	96	119182	33251	150	144
371	33170	18	0	1	18	67	22807	1271	5	5
1192	101645	63	0	20	11	44	17140	5279	28	28
1583	149061	44	5	43	26	100	116174	27101	84	84
1439	165446	33	0	69	25	93	57635	16373	80	79
1764	237213	84	0	78	38	140	66198	19716	130	127
1495	173326	88	7	86	44	166	71701	17753	82	78
1373	133131	55	7	44	30	99	57793	9028	60	60
2187	258873	60	3	104	40	139	80444	18653	131	131
1491	180083	66	9	63	34	130	53855	8828	84	84
4041	324799	154	0	158	47	181	97668	29498	140	133
1706	230964	53	4	102	30	116	133824	27563	151	150
2152	236785	119	3	77	31	116	101481	18293	91	91
1036	135473	41	0	82	23	88	99645	22530	138	132
1882	202925	61	7	115	36	139	114789	15977	150	136
1929	215147	58	0	101	36	135	99052	35082	124	124
2242	344297	75	1	80	30	108	67654	16116	119	118
1220	153935	33	5	50	25	89	65553	15849	73	70
1289	132943	40	7	83	39	156	97500	16026	110	107
2515	174724	92	0	123	34	129	69112	26569	123	119
2147	174415	100	0	73	31	118	82753	24785	90	89
2352	225548	112	5	81	31	118	85323	17569	116	112
1638	223632	73	0	105	33	125	72654	23825	113	108
1222	124817	40	0	47	25	95	30727	7869	56	52
1812	221698	45	0	105	33	126	77873	14975	115	112
1677	210767	60	3	94	35	135	117478	37791	119	116
1579	170266	62	4	44	42	154	74007	9605	129	123
1731	260561	75	1	114	43	165	90183	27295	127	125
807	84853	31	4	38	30	113	61542	2746	27	27
2452	294424	77	2	107	33	127	101494	34461	175	162
829	101011	34	0	30	13	52	27570	8098	35	32
1940	215641	46	0	71	32	121	55813	4787	64	64
2662	325107	99	0	84	36	136	79215	24919	96	92
186	7176	17	0	0	0	0	1423	603	0	0
1499	167542	66	2	59	28	108	55461	16329	84	83
865	106408	30	1	33	14	46	31081	12558	41	41
1793	96560	76	0	42	17	54	22996	7784	47	47
2527	265769	146	2	96	32	124	83122	28522	126	120
2747	269651	67	10	106	30	115	70106	22265	105	105
1324	149112	56	6	56	35	128	60578	14459	80	79
2702	175824	107	0	57	20	80	39992	14526	70	65
1383	152871	58	5	59	28	97	79892	22240	73	70
1179	111665	34	4	39	28	104	49810	11802	57	55
2099	116408	61	1	34	39	59	71570	7623	40	39
4308	362301	119	2	76	34	125	100708	11912	68	67
918	78800	42	2	20	26	82	33032	7935	21	21
1831	183167	66	0	91	39	149	82875	18220	127	127
3373	277965	89	8	115	39	149	139077	19199	154	152
1713	150629	44	3	85	33	122	71595	19918	116	113
1438	168809	66	0	76	28	118	72260	21884	102	99
496	24188	24	0	8	4	12	5950	2694	7	7
2253	329267	259	8	79	39	144	115762	15808	148	141
744	65029	17	5	21	18	67	32551	3597	21	21
1161	101097	64	3	30	14	52	31701	5296	35	35
2352	218946	41	1	76	29	108	80670	25239	112	109
2144	244052	68	5	101	44	166	143558	29801	137	133
4691	341570	168	1	94	21	80	117105	18450	135	123
1112	103597	43	1	27	16	60	23789	7132	26	26
2694	233328	132	5	92	28	107	120733	34861	230	230
1973	256462	105	0	123	35	127	105195	35940	181	166
1769	206161	71	12	75	28	107	73107	16688	71	68
3148	311473	112	8	128	38	146	132068	24683	147	147
2474	235800	94	8	105	23	84	149193	46230	190	179
2084	177939	82	8	55	36	141	46821	10387	64	61
1954	207176	70	8	56	32	123	87011	21436	105	101
1226	196553	57	2	41	29	111	95260	30546	107	108
1389	174184	53	0	72	25	98	55183	19746	94	90
1496	143246	103	5	67	27	105	106671	15977	116	114
2269	187559	121	8	75	36	135	73511	22583	106	103
1833	187681	62	2	114	28	107	92945	17274	143	142
1268	119016	52	5	118	23	85	78664	16469	81	79
1943	182192	52	12	77	40	155	70054	14251	89	88
893	73566	32	6	22	23	88	22618	3007	26	25
1762	194979	62	7	66	40	155	74011	16851	84	83
1403	167488	45	2	69	28	104	83737	21113	113	113
1425	143756	46	0	105	34	132	69094	17401	120	118
1857	275541	63	4	116	33	127	93133	23958	110	110
1840	243199	75	3	88	28	108	95536	23567	134	129
1502	182999	88	6	73	34	129	225920	13065	54	51
1441	135649	46	2	99	30	116	62133	15358	96	93
1420	152299	53	0	62	33	122	61370	14587	78	76
1416	120221	37	1	53	22	85	43836	12770	51	49
2970	346485	90	0	118	38	147	106117	24021	121	118
1317	145790	63	5	30	26	99	38692	9648	38	38
1644	193339	78	2	100	35	87	84651	20537	145	141
870	80953	25	0	49	8	28	56622	7905	59	58
1654	122774	45	0	24	24	90	15986	4527	27	27
1054	130585	46	5	67	29	109	95364	30495	91	91
937	112611	41	0	46	20	78	26706	7117	48	48
3004	286468	144	1	57	29	111	89691	17719	68	63
2008	241066	82	0	75	45	158	67267	27056	58	56
2547	148446	91	1	135	37	141	126846	33473	150	144
1885	204713	71	1	68	33	122	41140	9758	74	73
1626	182079	63	2	124	33	124	102860	21115	181	168
1468	140344	53	6	33	25	93	51715	7236	65	64
2445	220516	62	1	98	32	124	55801	13790	97	97
1964	243060	63	4	58	29	112	111813	32902	121	117
1381	162765	32	2	68	28	108	120293	25131	99	100
1369	182613	39	3	81	28	99	138599	30910	152	149
1659	232138	62	0	131	31	117	161647	35947	188	187
2888	265318	117	10	110	52	199	115929	29848	138	127
1290	85574	34	0	37	21	78	24266	6943	40	37
2845	310839	92	9	130	24	91	162901	42705	254	245
1982	225060	93	7	93	41	158	109825	31808	87	87
1904	232317	54	0	118	33	126	129838	26675	178	177
1391	144966	144	0	39	32	122	37510	8435	51	49
602	43287	14	4	13	19	71	43750	7409	49	49
1743	155754	61	4	74	20	75	40652	14993	73	73
1559	164709	109	0	81	31	115	87771	36867	176	177
2014	201940	38	0	109	31	119	85872	33835	94	94
2143	235454	73	0	151	32	124	89275	24164	120	117
2146	220801	75	1	51	18	72	44418	12607	66	60
874	99466	50	0	28	23	91	192565	22609	56	55
1590	92661	61	1	40	17	45	35232	5892	39	39
1590	133328	55	0	56	20	78	40909	17014	66	64
1210	61361	77	0	27	12	39	13294	5394	27	26
2072	125930	75	4	37	17	68	32387	9178	65	64
1281	100750	72	0	83	30	119	140867	6440	58	58
1401	224549	50	4	54	31	117	120662	21916	98	95
834	82316	32	4	27	10	39	21233	4011	25	25
1105	102010	53	3	28	13	50	44332	5818	26	26
1272	101523	42	0	59	22	88	61056	18647	77	76
1944	243511	71	0	133	42	155	101338	20556	130	129
391	22938	10	0	12	1	0	1168	238	11	11
761	41566	35	5	0	9	36	13497	70	2	2
1605	152474	65	0	106	32	123	65567	22392	101	101
530	61857	25	4	23	11	32	25162	3913	31	28
1988	99923	66	0	44	25	99	32334	12237	36	36
1386	132487	41	0	71	36	136	40735	8388	120	89
2395	317394	86	1	116	31	117	91413	22120	195	193
387	21054	16	0	4	0	0	855	338	4	4
1742	209641	42	5	62	24	88	97068	11727	89	84
620	22648	19	0	12	13	39	44339	3704	24	23
449	31414	19	0	18	8	25	14116	3988	39	39
800	46698	45	0	14	13	52	10288	3030	14	14
1684	131698	65	0	60	19	75	65622	13520	78	78
1050	91735	35	0	7	18	71	16563	1421	15	14
2699	244749	95	2	98	33	124	76643	20923	106	101
1606	184510	49	7	64	40	151	110681	20237	83	82
1502	79863	37	1	29	22	71	29011	3219	24	24
1204	128423	64	8	32	38	145	92696	3769	37	36
1138	97839	38	2	25	24	87	94785	12252	77	75
568	38214	34	0	16	8	27	8773	1888	16	16
1459	151101	32	2	48	35	131	83209	14497	56	55
2158	272458	65	0	100	43	162	93815	28864	132	131
1111	172494	52	0	46	43	165	86687	21721	144	131
1421	108043	62	1	45	14	54	34553	4821	40	39
2833	328107	65	3	129	41	159	105547	33644	153	144
1955	250579	83	0	130	38	147	103487	15923	143	139
2922	351067	95	3	136	45	170	213688	42935	220	211
1002	158015	29	0	59	31	119	71220	18864	79	78
1060	98866	18	0	25	13	49	23517	4977	50	50
956	85439	33	0	32	28	104	56926	7785	39	39
2186	229242	247	4	63	31	120	91721	17939	95	90
3604	351619	139	4	95	40	150	115168	23436	169	166
1035	84207	29	11	14	30	112	111194	325	12	12
1417	120445	118	0	36	16	59	51009	13539	63	57
3261	324598	110	0	113	37	136	135777	34538	134	133
1587	131069	67	4	47	30	107	51513	12198	69	69
1424	204271	42	0	92	35	130	74163	26924	119	119
1701	165543	65	1	70	32	115	51633	12716	119	119
1249	141722	94	0	19	27	107	75345	8172	75	65
946	116048	64	0	50	20	75	33416	10855	63	61
1926	250047	81	0	41	18	71	83305	11932	55	49
3352	299775	95	9	91	31	120	98952	14300	103	101
1641	195838	67	1	111	31	116	102372	25515	197	196
2035	173260	63	3	41	21	79	37238	2805	16	15
2312	254488	83	10	120	39	150	103772	29402	140	136
1369	104389	45	5	135	41	156	123969	16440	89	89
1577	136084	30	0	27	13	51	27142	11221	40	40
2201	199476	70	2	87	32	118	135400	28732	125	123
961	92499	32	0	25	18	71	21399	5250	21	21
1900	224330	83	1	131	39	144	130115	28608	167	163
1254	135781	31	2	45	14	47	24874	8092	32	29
1335	74408	67	4	29	7	28	34988	4473	36	35
1597	81240	66	0	58	17	68	45549	1572	13	13
207	14688	10	0	4	0	0	6023	2065	5	5
1645	181633	70	2	47	30	110	64466	14817	96	96
2429	271856	103	1	109	37	147	54990	16714	151	151
151	7199	5	0	7	0	0	1644	556	6	6
474	46660	20	0	12	5	15	6179	2089	13	13
141	17547	5	0	0	1	4	3926	2658	3	3
1639	133368	36	1	37	16	64	32755	10695	57	56
872	95227	34	0	37	32	111	34777	1669	23	23
1318	152601	48	2	46	24	85	73224	16267	61	57
1018	98146	40	0	15	17	68	27114	7768	21	14
1383	79619	43	3	42	11	40	20760	7252	43	43
1314	59194	31	6	7	24	80	37636	6387	20	20
1335	139942	42	0	54	22	88	65461	18715	82	72
1403	118612	46	2	54	12	48	30080	7936	90	87
910	72880	33	0	14	19	76	24094	8643	25	21
616	65475	18	2	16	13	51	69008	7294	60	56
1407	99643	55	1	33	17	67	54968	4570	61	59
771	71965	35	1	32	15	59	46090	7185	85	82
766	77272	59	2	21	16	61	27507	10058	43	43
473	49289	19	1	15	24	76	10672	2342	25	25
1376	135131	66	0	38	15	60	34029	8509	41	38
1232	108446	60	1	22	17	68	46300	13275	26	25
1521	89746	36	3	28	18	71	24760	6816	38	38
572	44296	25	0	10	20	76	18779	1930	12	12
1059	77648	47	0	31	16	62	21280	8086	29	29
1544	181528	54	0	32	16	61	40662	10737	49	47
1230	134019	53	0	32	18	67	28987	8033	46	45
1206	124064	40	1	43	22	88	22827	7058	41	40
1205	92630	40	4	27	8	30	18513	6782	31	30
1255	121848	39	0	37	17	64	30594	5401	41	41
613	52915	14	0	20	18	68	24006	6521	26	25
721	81872	45	0	32	16	64	27913	10856	23	23
1109	58981	36	7	0	23	91	42744	2154	14	14
740	53515	28	2	5	22	88	12934	6117	16	16
1126	60812	44	0	26	13	52	22574	5238	25	26
728	56375	30	7	10	13	49	41385	4820	21	21
689	65490	22	3	27	16	62	18653	5615	32	27
592	80949	17	0	11	16	61	18472	4272	9	9
995	76302	31	0	29	20	76	30976	8702	35	33
1613	104011	55	6	25	22	88	63339	15340	42	42
2048	98104	54	2	55	17	66	25568	8030	68	68
705	67989	21	0	23	18	71	33747	9526	32	32
301	30989	14	0	5	17	68	4154	1278	6	6
1803	135458	81	3	43	12	48	19474	4236	68	67
799	73504	35	0	23	7	25	35130	3023	33	33
861	63123	43	1	34	17	68	39067	7196	84	77
1186	61254	46	1	36	14	41	13310	3394	46	46
1451	74914	30	0	35	23	90	65892	6371	30	30
628	31774	23	1	0	17	66	4143	1574	0	0
1161	81437	38	0	37	14	54	28579	9620	36	36
1463	87186	54	0	28	15	59	51776	6978	47	46
742	50090	20	0	16	17	60	21152	4911	20	18
979	65745	53	0	26	21	77	38084	8645	50	48
675	56653	45	0	38	18	68	27717	8987	30	29
1241	158399	39	0	23	18	72	32928	5544	30	28
676	46455	20	0	22	17	67	11342	3083	34	34
1049	73624	24	0	30	17	64	19499	6909	33	33
620	38395	31	0	16	16	63	16380	3189	34	34
1081	91899	35	0	18	15	59	36874	6745	37	33
1688	139526	151	0	28	21	84	48259	16724	83	80
736	52164	52	0	32	16	64	16734	4850	32	32
617	51567	30	2	21	14	56	28207	7025	30	30
812	70551	31	0	23	15	54	30143	6047	43	41
1051	84856	29	1	29	17	67	41369	7377	41	41
1656	102538	57	1	50	15	58	45833	9078	51	51
705	86678	40	0	12	15	59	29156	4605	19	18
945	85709	44	0	21	10	40	35944	3238	37	34
554	34662	25	0	18	6	22	36278	8100	33	31
1597	150580	77	0	27	22	83	45588	9653	41	39
982	99611	35	0	41	21	81	45097	8914	54	54
222	19349	11	0	13	1	2	3895	786	14	14
1212	99373	63	1	12	18	72	28394	6700	25	24
1143	86230	44	0	21	17	61	18632	5788	25	24
435	30837	19	0	8	4	15	2325	593	8	8
532	31706	13	0	26	10	32	25139	4506	26	26
882	89806	42	0	27	16	62	27975	6382	20	19
608	62088	38	1	13	16	58	14483	5621	11	11
459	40151	29	0	16	9	36	13127	3997	14	14
578	27634	20	0	2	16	59	5839	520	3	1
826	76990	27	0	42	17	68	24069	8891	40	39
509	37460	20	0	5	7	21	3738	999	5	5
717	54157	19	0	37	15	55	18625	7067	38	37
637	49862	37	0	17	14	54	36341	4639	32	32
857	84337	26	0	38	14	55	24548	5654	41	38
830	64175	42	0	37	18	72	21792	6928	46	47
652	59382	49	0	29	12	41	26263	1514	47	47
707	119308	30	0	32	16	61	23686	9238	37	37
954	76702	49	0	35	21	67	49303	8204	51	51
1461	103425	67	1	17	19	76	25659	5926	49	45
672	70344	28	0	20	16	64	28904	5785	21	21
778	43410	19	0	7	1	3	2781	4	1	1
1141	104838	49	1	46	16	63	29236	5930	44	42
680	62215	27	0	24	10	40	19546	3710	26	26
1090	69304	30	6	40	19	69	22818	705	21	21
616	53117	22	3	3	12	48	32689	443	4	4
285	19764	12	1	10	2	8	5752	2416	10	10
1145	86680	31	2	37	14	52	22197	7747	43	43
733	84105	20	0	17	17	66	20055	5432	34	34
888	77945	20	0	28	19	76	25272	4913	32	31
849	89113	39	0	19	14	43	82206	2650	20	19
1182	91005	29	3	29	11	39	32073	2370	34	34
528	40248	16	1	8	4	14	5444	775	6	6
642	64187	27	0	10	16	61	20154	5576	12	11
947	50857	21	0	15	20	71	36944	1352	24	24
819	56613	19	1	15	12	44	8019	3080	16	16
757	62792	35	0	28	15	60	30884	10205	72	72
894	72535	14	0	17	16	64	19540	6095	27	21




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time15 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 15 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197032&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]15 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197032&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197032&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 time15 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







Multiple Linear Regression - Estimated Regression Equation
pageviews[t] = + 280.950303346443 + 0.00648806727867017time_in_rfc[t] + 5.54855308918896logins[t] + 15.4754398776429shared_compendiums[t] + 5.56997710844098blogged_computations[t] + 11.5086219108892compendiums_reviewed[t] -4.60910872428504feedback_messages_p1[t] -0.000699768918447494totsize[t] -0.00218052148697789totrevisions[t] + 1.14168032074102tothyperlinks[t] -3.88631238951269totblogs[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
pageviews[t] =  +  280.950303346443 +  0.00648806727867017time_in_rfc[t] +  5.54855308918896logins[t] +  15.4754398776429shared_compendiums[t] +  5.56997710844098blogged_computations[t] +  11.5086219108892compendiums_reviewed[t] -4.60910872428504feedback_messages_p1[t] -0.000699768918447494totsize[t] -0.00218052148697789totrevisions[t] +  1.14168032074102tothyperlinks[t] -3.88631238951269totblogs[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197032&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]pageviews[t] =  +  280.950303346443 +  0.00648806727867017time_in_rfc[t] +  5.54855308918896logins[t] +  15.4754398776429shared_compendiums[t] +  5.56997710844098blogged_computations[t] +  11.5086219108892compendiums_reviewed[t] -4.60910872428504feedback_messages_p1[t] -0.000699768918447494totsize[t] -0.00218052148697789totrevisions[t] +  1.14168032074102tothyperlinks[t] -3.88631238951269totblogs[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197032&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197032&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
pageviews[t] = + 280.950303346443 + 0.00648806727867017time_in_rfc[t] + 5.54855308918896logins[t] + 15.4754398776429shared_compendiums[t] + 5.56997710844098blogged_computations[t] + 11.5086219108892compendiums_reviewed[t] -4.60910872428504feedback_messages_p1[t] -0.000699768918447494totsize[t] -0.00218052148697789totrevisions[t] + 1.14168032074102tothyperlinks[t] -3.88631238951269totblogs[t] + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)280.95030334644344.6003576.299300
time_in_rfc0.006488067278670170.00048913.274600
logins5.548553089188960.748927.408700
shared_compendiums15.47543987764297.285652.12410.0345450.017272
blogged_computations5.569977108440981.1790284.72424e-062e-06
compendiums_reviewed11.50862191088929.3348281.23290.2186660.109333
feedback_messages_p1-4.609108724285042.494021-1.84810.0656550.032828
totsize-0.0006997689184474940.000851-0.82230.4116270.205813
totrevisions-0.002180521486977890.004085-0.53370.5939420.296971
tothyperlinks1.141680320741025.9775030.1910.8486680.424334
totblogs-3.886312389512696.186869-0.62820.5304180.265209

\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) & 280.950303346443 & 44.600357 & 6.2993 & 0 & 0 \tabularnewline
time_in_rfc & 0.00648806727867017 & 0.000489 & 13.2746 & 0 & 0 \tabularnewline
logins & 5.54855308918896 & 0.74892 & 7.4087 & 0 & 0 \tabularnewline
shared_compendiums & 15.4754398776429 & 7.28565 & 2.1241 & 0.034545 & 0.017272 \tabularnewline
blogged_computations & 5.56997710844098 & 1.179028 & 4.7242 & 4e-06 & 2e-06 \tabularnewline
compendiums_reviewed & 11.5086219108892 & 9.334828 & 1.2329 & 0.218666 & 0.109333 \tabularnewline
feedback_messages_p1 & -4.60910872428504 & 2.494021 & -1.8481 & 0.065655 & 0.032828 \tabularnewline
totsize & -0.000699768918447494 & 0.000851 & -0.8223 & 0.411627 & 0.205813 \tabularnewline
totrevisions & -0.00218052148697789 & 0.004085 & -0.5337 & 0.593942 & 0.296971 \tabularnewline
tothyperlinks & 1.14168032074102 & 5.977503 & 0.191 & 0.848668 & 0.424334 \tabularnewline
totblogs & -3.88631238951269 & 6.186869 & -0.6282 & 0.530418 & 0.265209 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197032&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]280.950303346443[/C][C]44.600357[/C][C]6.2993[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]time_in_rfc[/C][C]0.00648806727867017[/C][C]0.000489[/C][C]13.2746[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]logins[/C][C]5.54855308918896[/C][C]0.74892[/C][C]7.4087[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]shared_compendiums[/C][C]15.4754398776429[/C][C]7.28565[/C][C]2.1241[/C][C]0.034545[/C][C]0.017272[/C][/ROW]
[ROW][C]blogged_computations[/C][C]5.56997710844098[/C][C]1.179028[/C][C]4.7242[/C][C]4e-06[/C][C]2e-06[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]11.5086219108892[/C][C]9.334828[/C][C]1.2329[/C][C]0.218666[/C][C]0.109333[/C][/ROW]
[ROW][C]feedback_messages_p1[/C][C]-4.60910872428504[/C][C]2.494021[/C][C]-1.8481[/C][C]0.065655[/C][C]0.032828[/C][/ROW]
[ROW][C]totsize[/C][C]-0.000699768918447494[/C][C]0.000851[/C][C]-0.8223[/C][C]0.411627[/C][C]0.205813[/C][/ROW]
[ROW][C]totrevisions[/C][C]-0.00218052148697789[/C][C]0.004085[/C][C]-0.5337[/C][C]0.593942[/C][C]0.296971[/C][/ROW]
[ROW][C]tothyperlinks[/C][C]1.14168032074102[/C][C]5.977503[/C][C]0.191[/C][C]0.848668[/C][C]0.424334[/C][/ROW]
[ROW][C]totblogs[/C][C]-3.88631238951269[/C][C]6.186869[/C][C]-0.6282[/C][C]0.530418[/C][C]0.265209[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197032&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197032&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)280.95030334644344.6003576.299300
time_in_rfc0.006488067278670170.00048913.274600
logins5.548553089188960.748927.408700
shared_compendiums15.47543987764297.285652.12410.0345450.017272
blogged_computations5.569977108440981.1790284.72424e-062e-06
compendiums_reviewed11.50862191088929.3348281.23290.2186660.109333
feedback_messages_p1-4.609108724285042.494021-1.84810.0656550.032828
totsize-0.0006997689184474940.000851-0.82230.4116270.205813
totrevisions-0.002180521486977890.004085-0.53370.5939420.296971
tothyperlinks1.141680320741025.9775030.1910.8486680.424334
totblogs-3.886312389512696.186869-0.62820.5304180.265209







Multiple Linear Regression - Regression Statistics
Multiple R0.918474945753003
R-squared0.843596225975981
Adjusted R-squared0.837970190939146
F-TEST (value)149.945071520658
F-TEST (DF numerator)10
F-TEST (DF denominator)278
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation296.340512024032
Sum Squared Residuals24413320.3405331

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.918474945753003 \tabularnewline
R-squared & 0.843596225975981 \tabularnewline
Adjusted R-squared & 0.837970190939146 \tabularnewline
F-TEST (value) & 149.945071520658 \tabularnewline
F-TEST (DF numerator) & 10 \tabularnewline
F-TEST (DF denominator) & 278 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 296.340512024032 \tabularnewline
Sum Squared Residuals & 24413320.3405331 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197032&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.918474945753003[/C][/ROW]
[ROW][C]R-squared[/C][C]0.843596225975981[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.837970190939146[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]149.945071520658[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]10[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]278[/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]296.340512024032[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]24413320.3405331[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197032&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197032&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 R0.918474945753003
R-squared0.843596225975981
Adjusted R-squared0.837970190939146
F-TEST (value)149.945071520658
F-TEST (DF numerator)10
F-TEST (DF denominator)278
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation296.340512024032
Sum Squared Residuals24413320.3405331







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
114181731.28441008964-313.284410089644
28691207.31787125158-338.317871251582
315301652.11801013377-122.118010133775
421721881.24808800905290.751911990954
59011321.04928938199-420.049289381986
6463470.764005991142-7.76400599114154
732013267.71474294829-66.7147429482897
8371467.494104685843-96.4941046858429
911921224.82763570828-32.8276357082821
1015831276.46558727527306.534412724725
1114391489.15707813946-50.1570781394601
1217642078.13559561336-314.135595613359
1314951923.98764139394-428.98764139394
1413731467.44215645126-94.4421564512606
1521872282.31935281842-95.3193528184221
1614911810.35716195457-319.357161954567
1740413339.74782052496701.25217947504
1817061949.8743384225-243.874338422498
1921522414.26730831075-262.26730831075
2010361228.93680341827-192.936803418275
2118821986.07241400203-104.072414002028
2219291867.1580500456261.8419499543846
2322422834.25405404963-592.254054049631
2412201427.043877143-207.043877143
2512891272.4639305272816.5360694727214
2625151978.52235884577536.477641154227
2721471831.83986919975315.160130800252
2823522306.348606996145.6513930039042
2916382131.92387217905-493.923872179052
3012221247.53819406632-25.5381940663243
3118121961.79098709834-149.790987098336
3216771852.34640221923-175.34640221923
3315791406.7266173812172.273382618799
3417312309.02947381992-578.029473819921
35807978.319726382923-171.319726382923
3624522463.84390855976-11.843908559759
378291080.65133937497-251.651339374972
3819401916.1683702932623.831629706738
3926622837.21478848821-175.214788488209
40186419.523451026794-233.523451026794
4114991617.1373749371-118.137374937102
428651124.51312749501-259.513127495005
4317931347.75908194592445.240918054083
4425272734.91651623672-207.916516236721
4527472576.80663846259170.193361537407
4613241487.12215707513-163.122157075132
4727021961.98376397783740.016236022165
4813831582.66749135768-199.667491357681
4911791106.8547064124572.1452935875483
5020991583.82493176903515.175068230971
5143083282.089710041961025.91028995804
52918990.822432509907-72.8224325099068
5318311658.21087459635172.789125403646
5433732550.57078278665822.429217213347
5517131439.4753924337273.524607566304
5614381577.50643264451-139.506432644511
57496577.083574211033-81.0835742110332
5822533708.8106182528-1455.8106182528
59744801.621074164431-57.621074164431
6011611297.16098601629-136.160986016291
6123521796.51295671618555.487043283816
6221442096.9814210022847.018578997717
6346913395.175371722961295.82462827704
6411121161.5799251385-49.579925138498
6526942154.32321028218539.676789717821
6619732439.5793791457-466.579379145702
6717692174.24786397809-405.247863978086
6831482974.70456910057173.295430899434
6924742234.64805518368239.351944816319
7020841865.57970636373218.420293636273
7119541870.328241649883.6717583501954
7212261523.09768521557-297.097685215567
7313891618.08028212635-229.080282126348
7414961639.09506083548-143.095060835484
7522692122.89765920048146.102340799523
7618331846.34017619221-13.3401761922146
7712681643.71723643168-375.717236431678
7819431791.59339241779151.406607582209
79893920.435708580727-27.4357085807268
8017621796.67971088839-34.6797108883902
8114031460.70468729702-57.7046872970204
8214251428.74442339286-3.74442339286489
8318572501.3624731306-644.362473130601
8418402169.43462705452-329.43462705452
8515021929.58038501579-427.580385015788
8614411480.47130989357-39.4713098935713
8714201444.90085292672-24.9008529267203
8814161247.62443062969168.375569370313
8929702998.30679325298-28.306793252983
9013171511.39424623076-194.394246230758
9116442071.44787345429-427.447873454294
92870965.929132584183-95.9291325841829
9316541227.10496315098426.895036849018
9410541282.36157701432-228.361577014316
959371200.00048957343-263.000489573431
9630042825.06565443352178.934345566481
9720082249.89759354728-241.897593547278
9825471742.22487986632804.775120133682
9918851965.51394877101-80.5139487710114
10016261777.45674691524-151.456746915243
10114681394.8336763113473.1663236886562
10224452078.41634734679366.583652653209
10319641943.4470600086920.5529399913094
10413811334.1203920306746.8796079693294
10513691475.77109022679-106.771090226787
10616591974.65284772184-315.652847721839
10728882618.00212746635269.997872533653
1081290982.824411489081307.175588510919
10928452659.0435866861185.956413313898
11019822242.12729360703-260.127293607031
11119041910.47441538656-6.47441538656178
11213911866.84021172228-475.840211722276
113602483.950228440936118.049771559064
11417431727.0261163932515.9738836067468
11515591603.52332530423-44.5233253042328
11620141825.54255731663188.457442683369
11721432418.59013211114-275.590132111143
11821462088.107154481157.8928455189036
119874871.0853312813322.91466871866779
12015901302.57150618529287.428493814714
12115901394.6431021545195.356897845498
12212101123.7575777420186.2424222579892
12320721447.16117494528624.838825054718
12412811321.39615663159-40.396156631587
12514011805.91022730919-404.910227309193
1268341047.9778017628-213.9778017628
12711051243.34482397527-138.34482397527
12812721058.05871896699213.941281033006
12919442295.91870829617-351.918708296171
130391532.080221721514-141.080221721514
131761744.77286675129816.2271332487016
13216051650.72510118962-45.7251011896237
133530890.546480012337-360.546480012337
13419881223.83860663788764.161393362122
13513861295.2900612374890.7099387625169
13623952656.8620977505-261.862097750502
137387516.292982729394-129.292982729394
13817421849.13874666912-107.138746669117
139620468.922566740273151.077433259727
140449541.675294240135-92.6752942401349
141800769.30201713486230.6979828651377
14216841413.76883926751270.231160732488
1431050937.258865736415112.741134263585
14426992410.3196252063288.680374793705
14516061633.62228514319-27.6222851431889
14615021014.15975895044487.840241049557
14712041369.57517996304-165.57517996304
1481138875.388718818394262.611281181606
149568720.108774443141-152.108774443141
15014591296.52458564155162.475414358452
15121582227.53241446117-69.5324144611687
15211111226.48555850913-115.485558509128
15314211363.7137133748757.2862866251283
15428332742.1732525935990.8267474064053
15519552367.06472863541-412.064728635411
15629222812.09671706999109.903282930005
15710021300.07176367202-298.071763672021
1581060920.748179053063139.251820946937
159956875.66885325158380.3311467484168
16021863010.65662062917-824.656620629172
16136043109.67749298526494.32250701474
1621035953.99266322051981.0073367794808
16314171615.04400382663-198.044003826632
16432612891.47468274979369.525317250207
16515871426.83774776621160.16225223379
16614241718.15251187621-294.152511876206
16717011568.79271500237132.207284997633
16812491407.87629573903-158.876295739028
1699461339.78083745453-393.78083745453
17019262249.03327723898-323.033277238981
17133522827.49485378656524.505146213439
17216411715.08809155935-74.0880915593487
17320351834.78637818995200.213621810051
17423122467.80571999937-155.805719999368
17513691423.20501348117-54.2050134811709
17615771242.01992306284334.980076937156
17722011810.79684920308390.203150796923
178961993.742273756296-32.7422737562964
17919002130.97628423417-230.976284234171
18012541448.78403764035-194.784037640352
18113351181.24644552884153.753554471165
18215971308.54947333746288.450526662537
183207431.571829450927-224.571829450927
18416451637.887876552437.11212344756674
18524292497.78929123047-68.7892912304727
186151375.559922429303-224.559922429303
187474705.341589917018-231.341589917018
188141398.834357252435-257.834357252435
18916391257.91903273142381.080967268577
1908721059.09258526956-187.092585269559
19113181470.38118851045-152.381188510452
19210181039.10220182347-21.1022018234657
19313831110.34784155012272.652158449878
1941314781.174675420932532.825324579068
19513351297.496783818937.5032161811017
19614031280.63065267438122.369347325622
197910794.477099644301115.522900355699
198616626.921465597646-10.9214655976461
19914071110.65237099382296.347629006177
200771766.9158594435944.08414055640555
2017661001.36418007844-235.364180078438
202473649.912402519876-176.912402519876
20313761488.39829048424-112.39829048424
20412321208.8907032352223.109296764778
20515211008.7857227005512.214277299503
206572592.354553194018-20.3545531940181
20710591004.4431373000954.5568626999144
20815441660.97902342966-116.979023429655
20912301360.96498951466-130.964989514659
21012061270.3932274314-64.3932274314036
21112051161.0285534799543.9714465200528
21212551248.939021077626.06097892238421
213613608.5895152879784.4104847120218
2147211022.88956762432-301.88956762432
2151109743.93578500863365.06421499137
216740623.604415634346116.395584365654
2171126874.676553396822251.323446603178
218728803.857972735256-75.8579727352565
219689829.417826579787-140.417826579787
220592817.78732271654-225.78732271654
221995860.477032299807134.522967700193
22216131147.59486022876465.405139771238
22320481223.78627994738824.213720052624
224705714.390097318335-9.39009731833456
225301447.604489309518-146.604489309518
22618031606.43264324209196.567356757915
227799923.743210653009-124.743210653009
228861769.79238580392291.207614196078
2291186978.777993980241207.222006019759
2301451835.941447665612615.058552334388
231628515.30842722057112.69157277943
2321161998.69997726124162.30002273876
23314631026.33376758723436.666232412773
234742652.49826809992289.5017319000778
235979858.221107083182120.778892916818
236675886.15410777411-211.15410777411
23712411418.75894308594-177.758943085944
238676594.72349774894381.2765022510566
2391049840.27309483209208.72690516791
240620573.21513871078846.7848612892125
2411081945.831024678024135.168975321976
24216881748.1284671397-60.1284671397
243736865.199176705079-129.199176705079
244617715.512571214511-98.5125712145105
245812818.016712616173-6.01671261617304
2461051898.686481695879152.313518304121
24716561269.92307159965386.076928400352
248705954.091300775449-249.091300775449
2499451006.75831511752-61.7583151175242
250554586.615771714035-32.6157717140351
25115971548.4781724793648.5218275206384
2529821018.94006690752-36.9400669075174
253222499.357769185641-277.357769185641
25412121133.6541671121378.3458328878743
25511431025.62469810655117.375301893446
256435583.025947832852-148.025947832852
257532572.428944945414-40.4289449454143
2588821060.92104210771-178.921042107711
259608846.738811506101-238.738811506101
260459672.803789158891-213.803789158891
261578488.87201305195289.1279869480481
262826904.315029327428-78.3150293274281
263509628.066083571144-119.066083571144
264717734.111925813582-17.1119258135821
265637693.299257135955-56.299257135955
266857961.298097235568-104.298097235568
267830851.254365275236-21.2543652752357
268652898.086109369726-246.086109369726
2697071164.43704212504-457.437042125042
270954985.931174749532-31.9311747495318
27114611152.4494597789308.5505402211
272672802.783217818133-130.783217818133
273778699.99153658830478.0084634116964
27411411252.10376712368-111.103767123684
275680805.689811452357-125.689811452357
27610901038.2010803641351.7989196358674
277616692.828390604015-76.8283906040149
278285496.343155682733-211.343155682733
27911451023.38375708408121.61624291592
280733804.539322413611-71.5393224136113
281888809.62530548003978.3746945199611
2828491029.96369526121-180.96369526121
28311821066.17114739494115.828852605058
284528650.433868297054-122.433868297054
285642750.581897618269-108.581897618269
286947619.237433606862327.762566393138
287819731.76797421750487.2320257824959
288757693.11315226939463.8868477306057
289894735.335655067557158.664344932443

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 1418 & 1731.28441008964 & -313.284410089644 \tabularnewline
2 & 869 & 1207.31787125158 & -338.317871251582 \tabularnewline
3 & 1530 & 1652.11801013377 & -122.118010133775 \tabularnewline
4 & 2172 & 1881.24808800905 & 290.751911990954 \tabularnewline
5 & 901 & 1321.04928938199 & -420.049289381986 \tabularnewline
6 & 463 & 470.764005991142 & -7.76400599114154 \tabularnewline
7 & 3201 & 3267.71474294829 & -66.7147429482897 \tabularnewline
8 & 371 & 467.494104685843 & -96.4941046858429 \tabularnewline
9 & 1192 & 1224.82763570828 & -32.8276357082821 \tabularnewline
10 & 1583 & 1276.46558727527 & 306.534412724725 \tabularnewline
11 & 1439 & 1489.15707813946 & -50.1570781394601 \tabularnewline
12 & 1764 & 2078.13559561336 & -314.135595613359 \tabularnewline
13 & 1495 & 1923.98764139394 & -428.98764139394 \tabularnewline
14 & 1373 & 1467.44215645126 & -94.4421564512606 \tabularnewline
15 & 2187 & 2282.31935281842 & -95.3193528184221 \tabularnewline
16 & 1491 & 1810.35716195457 & -319.357161954567 \tabularnewline
17 & 4041 & 3339.74782052496 & 701.25217947504 \tabularnewline
18 & 1706 & 1949.8743384225 & -243.874338422498 \tabularnewline
19 & 2152 & 2414.26730831075 & -262.26730831075 \tabularnewline
20 & 1036 & 1228.93680341827 & -192.936803418275 \tabularnewline
21 & 1882 & 1986.07241400203 & -104.072414002028 \tabularnewline
22 & 1929 & 1867.15805004562 & 61.8419499543846 \tabularnewline
23 & 2242 & 2834.25405404963 & -592.254054049631 \tabularnewline
24 & 1220 & 1427.043877143 & -207.043877143 \tabularnewline
25 & 1289 & 1272.46393052728 & 16.5360694727214 \tabularnewline
26 & 2515 & 1978.52235884577 & 536.477641154227 \tabularnewline
27 & 2147 & 1831.83986919975 & 315.160130800252 \tabularnewline
28 & 2352 & 2306.3486069961 & 45.6513930039042 \tabularnewline
29 & 1638 & 2131.92387217905 & -493.923872179052 \tabularnewline
30 & 1222 & 1247.53819406632 & -25.5381940663243 \tabularnewline
31 & 1812 & 1961.79098709834 & -149.790987098336 \tabularnewline
32 & 1677 & 1852.34640221923 & -175.34640221923 \tabularnewline
33 & 1579 & 1406.7266173812 & 172.273382618799 \tabularnewline
34 & 1731 & 2309.02947381992 & -578.029473819921 \tabularnewline
35 & 807 & 978.319726382923 & -171.319726382923 \tabularnewline
36 & 2452 & 2463.84390855976 & -11.843908559759 \tabularnewline
37 & 829 & 1080.65133937497 & -251.651339374972 \tabularnewline
38 & 1940 & 1916.16837029326 & 23.831629706738 \tabularnewline
39 & 2662 & 2837.21478848821 & -175.214788488209 \tabularnewline
40 & 186 & 419.523451026794 & -233.523451026794 \tabularnewline
41 & 1499 & 1617.1373749371 & -118.137374937102 \tabularnewline
42 & 865 & 1124.51312749501 & -259.513127495005 \tabularnewline
43 & 1793 & 1347.75908194592 & 445.240918054083 \tabularnewline
44 & 2527 & 2734.91651623672 & -207.916516236721 \tabularnewline
45 & 2747 & 2576.80663846259 & 170.193361537407 \tabularnewline
46 & 1324 & 1487.12215707513 & -163.122157075132 \tabularnewline
47 & 2702 & 1961.98376397783 & 740.016236022165 \tabularnewline
48 & 1383 & 1582.66749135768 & -199.667491357681 \tabularnewline
49 & 1179 & 1106.85470641245 & 72.1452935875483 \tabularnewline
50 & 2099 & 1583.82493176903 & 515.175068230971 \tabularnewline
51 & 4308 & 3282.08971004196 & 1025.91028995804 \tabularnewline
52 & 918 & 990.822432509907 & -72.8224325099068 \tabularnewline
53 & 1831 & 1658.21087459635 & 172.789125403646 \tabularnewline
54 & 3373 & 2550.57078278665 & 822.429217213347 \tabularnewline
55 & 1713 & 1439.4753924337 & 273.524607566304 \tabularnewline
56 & 1438 & 1577.50643264451 & -139.506432644511 \tabularnewline
57 & 496 & 577.083574211033 & -81.0835742110332 \tabularnewline
58 & 2253 & 3708.8106182528 & -1455.8106182528 \tabularnewline
59 & 744 & 801.621074164431 & -57.621074164431 \tabularnewline
60 & 1161 & 1297.16098601629 & -136.160986016291 \tabularnewline
61 & 2352 & 1796.51295671618 & 555.487043283816 \tabularnewline
62 & 2144 & 2096.98142100228 & 47.018578997717 \tabularnewline
63 & 4691 & 3395.17537172296 & 1295.82462827704 \tabularnewline
64 & 1112 & 1161.5799251385 & -49.579925138498 \tabularnewline
65 & 2694 & 2154.32321028218 & 539.676789717821 \tabularnewline
66 & 1973 & 2439.5793791457 & -466.579379145702 \tabularnewline
67 & 1769 & 2174.24786397809 & -405.247863978086 \tabularnewline
68 & 3148 & 2974.70456910057 & 173.295430899434 \tabularnewline
69 & 2474 & 2234.64805518368 & 239.351944816319 \tabularnewline
70 & 2084 & 1865.57970636373 & 218.420293636273 \tabularnewline
71 & 1954 & 1870.3282416498 & 83.6717583501954 \tabularnewline
72 & 1226 & 1523.09768521557 & -297.097685215567 \tabularnewline
73 & 1389 & 1618.08028212635 & -229.080282126348 \tabularnewline
74 & 1496 & 1639.09506083548 & -143.095060835484 \tabularnewline
75 & 2269 & 2122.89765920048 & 146.102340799523 \tabularnewline
76 & 1833 & 1846.34017619221 & -13.3401761922146 \tabularnewline
77 & 1268 & 1643.71723643168 & -375.717236431678 \tabularnewline
78 & 1943 & 1791.59339241779 & 151.406607582209 \tabularnewline
79 & 893 & 920.435708580727 & -27.4357085807268 \tabularnewline
80 & 1762 & 1796.67971088839 & -34.6797108883902 \tabularnewline
81 & 1403 & 1460.70468729702 & -57.7046872970204 \tabularnewline
82 & 1425 & 1428.74442339286 & -3.74442339286489 \tabularnewline
83 & 1857 & 2501.3624731306 & -644.362473130601 \tabularnewline
84 & 1840 & 2169.43462705452 & -329.43462705452 \tabularnewline
85 & 1502 & 1929.58038501579 & -427.580385015788 \tabularnewline
86 & 1441 & 1480.47130989357 & -39.4713098935713 \tabularnewline
87 & 1420 & 1444.90085292672 & -24.9008529267203 \tabularnewline
88 & 1416 & 1247.62443062969 & 168.375569370313 \tabularnewline
89 & 2970 & 2998.30679325298 & -28.306793252983 \tabularnewline
90 & 1317 & 1511.39424623076 & -194.394246230758 \tabularnewline
91 & 1644 & 2071.44787345429 & -427.447873454294 \tabularnewline
92 & 870 & 965.929132584183 & -95.9291325841829 \tabularnewline
93 & 1654 & 1227.10496315098 & 426.895036849018 \tabularnewline
94 & 1054 & 1282.36157701432 & -228.361577014316 \tabularnewline
95 & 937 & 1200.00048957343 & -263.000489573431 \tabularnewline
96 & 3004 & 2825.06565443352 & 178.934345566481 \tabularnewline
97 & 2008 & 2249.89759354728 & -241.897593547278 \tabularnewline
98 & 2547 & 1742.22487986632 & 804.775120133682 \tabularnewline
99 & 1885 & 1965.51394877101 & -80.5139487710114 \tabularnewline
100 & 1626 & 1777.45674691524 & -151.456746915243 \tabularnewline
101 & 1468 & 1394.83367631134 & 73.1663236886562 \tabularnewline
102 & 2445 & 2078.41634734679 & 366.583652653209 \tabularnewline
103 & 1964 & 1943.44706000869 & 20.5529399913094 \tabularnewline
104 & 1381 & 1334.12039203067 & 46.8796079693294 \tabularnewline
105 & 1369 & 1475.77109022679 & -106.771090226787 \tabularnewline
106 & 1659 & 1974.65284772184 & -315.652847721839 \tabularnewline
107 & 2888 & 2618.00212746635 & 269.997872533653 \tabularnewline
108 & 1290 & 982.824411489081 & 307.175588510919 \tabularnewline
109 & 2845 & 2659.0435866861 & 185.956413313898 \tabularnewline
110 & 1982 & 2242.12729360703 & -260.127293607031 \tabularnewline
111 & 1904 & 1910.47441538656 & -6.47441538656178 \tabularnewline
112 & 1391 & 1866.84021172228 & -475.840211722276 \tabularnewline
113 & 602 & 483.950228440936 & 118.049771559064 \tabularnewline
114 & 1743 & 1727.02611639325 & 15.9738836067468 \tabularnewline
115 & 1559 & 1603.52332530423 & -44.5233253042328 \tabularnewline
116 & 2014 & 1825.54255731663 & 188.457442683369 \tabularnewline
117 & 2143 & 2418.59013211114 & -275.590132111143 \tabularnewline
118 & 2146 & 2088.1071544811 & 57.8928455189036 \tabularnewline
119 & 874 & 871.085331281332 & 2.91466871866779 \tabularnewline
120 & 1590 & 1302.57150618529 & 287.428493814714 \tabularnewline
121 & 1590 & 1394.6431021545 & 195.356897845498 \tabularnewline
122 & 1210 & 1123.75757774201 & 86.2424222579892 \tabularnewline
123 & 2072 & 1447.16117494528 & 624.838825054718 \tabularnewline
124 & 1281 & 1321.39615663159 & -40.396156631587 \tabularnewline
125 & 1401 & 1805.91022730919 & -404.910227309193 \tabularnewline
126 & 834 & 1047.9778017628 & -213.9778017628 \tabularnewline
127 & 1105 & 1243.34482397527 & -138.34482397527 \tabularnewline
128 & 1272 & 1058.05871896699 & 213.941281033006 \tabularnewline
129 & 1944 & 2295.91870829617 & -351.918708296171 \tabularnewline
130 & 391 & 532.080221721514 & -141.080221721514 \tabularnewline
131 & 761 & 744.772866751298 & 16.2271332487016 \tabularnewline
132 & 1605 & 1650.72510118962 & -45.7251011896237 \tabularnewline
133 & 530 & 890.546480012337 & -360.546480012337 \tabularnewline
134 & 1988 & 1223.83860663788 & 764.161393362122 \tabularnewline
135 & 1386 & 1295.29006123748 & 90.7099387625169 \tabularnewline
136 & 2395 & 2656.8620977505 & -261.862097750502 \tabularnewline
137 & 387 & 516.292982729394 & -129.292982729394 \tabularnewline
138 & 1742 & 1849.13874666912 & -107.138746669117 \tabularnewline
139 & 620 & 468.922566740273 & 151.077433259727 \tabularnewline
140 & 449 & 541.675294240135 & -92.6752942401349 \tabularnewline
141 & 800 & 769.302017134862 & 30.6979828651377 \tabularnewline
142 & 1684 & 1413.76883926751 & 270.231160732488 \tabularnewline
143 & 1050 & 937.258865736415 & 112.741134263585 \tabularnewline
144 & 2699 & 2410.3196252063 & 288.680374793705 \tabularnewline
145 & 1606 & 1633.62228514319 & -27.6222851431889 \tabularnewline
146 & 1502 & 1014.15975895044 & 487.840241049557 \tabularnewline
147 & 1204 & 1369.57517996304 & -165.57517996304 \tabularnewline
148 & 1138 & 875.388718818394 & 262.611281181606 \tabularnewline
149 & 568 & 720.108774443141 & -152.108774443141 \tabularnewline
150 & 1459 & 1296.52458564155 & 162.475414358452 \tabularnewline
151 & 2158 & 2227.53241446117 & -69.5324144611687 \tabularnewline
152 & 1111 & 1226.48555850913 & -115.485558509128 \tabularnewline
153 & 1421 & 1363.71371337487 & 57.2862866251283 \tabularnewline
154 & 2833 & 2742.17325259359 & 90.8267474064053 \tabularnewline
155 & 1955 & 2367.06472863541 & -412.064728635411 \tabularnewline
156 & 2922 & 2812.09671706999 & 109.903282930005 \tabularnewline
157 & 1002 & 1300.07176367202 & -298.071763672021 \tabularnewline
158 & 1060 & 920.748179053063 & 139.251820946937 \tabularnewline
159 & 956 & 875.668853251583 & 80.3311467484168 \tabularnewline
160 & 2186 & 3010.65662062917 & -824.656620629172 \tabularnewline
161 & 3604 & 3109.67749298526 & 494.32250701474 \tabularnewline
162 & 1035 & 953.992663220519 & 81.0073367794808 \tabularnewline
163 & 1417 & 1615.04400382663 & -198.044003826632 \tabularnewline
164 & 3261 & 2891.47468274979 & 369.525317250207 \tabularnewline
165 & 1587 & 1426.83774776621 & 160.16225223379 \tabularnewline
166 & 1424 & 1718.15251187621 & -294.152511876206 \tabularnewline
167 & 1701 & 1568.79271500237 & 132.207284997633 \tabularnewline
168 & 1249 & 1407.87629573903 & -158.876295739028 \tabularnewline
169 & 946 & 1339.78083745453 & -393.78083745453 \tabularnewline
170 & 1926 & 2249.03327723898 & -323.033277238981 \tabularnewline
171 & 3352 & 2827.49485378656 & 524.505146213439 \tabularnewline
172 & 1641 & 1715.08809155935 & -74.0880915593487 \tabularnewline
173 & 2035 & 1834.78637818995 & 200.213621810051 \tabularnewline
174 & 2312 & 2467.80571999937 & -155.805719999368 \tabularnewline
175 & 1369 & 1423.20501348117 & -54.2050134811709 \tabularnewline
176 & 1577 & 1242.01992306284 & 334.980076937156 \tabularnewline
177 & 2201 & 1810.79684920308 & 390.203150796923 \tabularnewline
178 & 961 & 993.742273756296 & -32.7422737562964 \tabularnewline
179 & 1900 & 2130.97628423417 & -230.976284234171 \tabularnewline
180 & 1254 & 1448.78403764035 & -194.784037640352 \tabularnewline
181 & 1335 & 1181.24644552884 & 153.753554471165 \tabularnewline
182 & 1597 & 1308.54947333746 & 288.450526662537 \tabularnewline
183 & 207 & 431.571829450927 & -224.571829450927 \tabularnewline
184 & 1645 & 1637.88787655243 & 7.11212344756674 \tabularnewline
185 & 2429 & 2497.78929123047 & -68.7892912304727 \tabularnewline
186 & 151 & 375.559922429303 & -224.559922429303 \tabularnewline
187 & 474 & 705.341589917018 & -231.341589917018 \tabularnewline
188 & 141 & 398.834357252435 & -257.834357252435 \tabularnewline
189 & 1639 & 1257.91903273142 & 381.080967268577 \tabularnewline
190 & 872 & 1059.09258526956 & -187.092585269559 \tabularnewline
191 & 1318 & 1470.38118851045 & -152.381188510452 \tabularnewline
192 & 1018 & 1039.10220182347 & -21.1022018234657 \tabularnewline
193 & 1383 & 1110.34784155012 & 272.652158449878 \tabularnewline
194 & 1314 & 781.174675420932 & 532.825324579068 \tabularnewline
195 & 1335 & 1297.4967838189 & 37.5032161811017 \tabularnewline
196 & 1403 & 1280.63065267438 & 122.369347325622 \tabularnewline
197 & 910 & 794.477099644301 & 115.522900355699 \tabularnewline
198 & 616 & 626.921465597646 & -10.9214655976461 \tabularnewline
199 & 1407 & 1110.65237099382 & 296.347629006177 \tabularnewline
200 & 771 & 766.915859443594 & 4.08414055640555 \tabularnewline
201 & 766 & 1001.36418007844 & -235.364180078438 \tabularnewline
202 & 473 & 649.912402519876 & -176.912402519876 \tabularnewline
203 & 1376 & 1488.39829048424 & -112.39829048424 \tabularnewline
204 & 1232 & 1208.89070323522 & 23.109296764778 \tabularnewline
205 & 1521 & 1008.7857227005 & 512.214277299503 \tabularnewline
206 & 572 & 592.354553194018 & -20.3545531940181 \tabularnewline
207 & 1059 & 1004.44313730009 & 54.5568626999144 \tabularnewline
208 & 1544 & 1660.97902342966 & -116.979023429655 \tabularnewline
209 & 1230 & 1360.96498951466 & -130.964989514659 \tabularnewline
210 & 1206 & 1270.3932274314 & -64.3932274314036 \tabularnewline
211 & 1205 & 1161.02855347995 & 43.9714465200528 \tabularnewline
212 & 1255 & 1248.93902107762 & 6.06097892238421 \tabularnewline
213 & 613 & 608.589515287978 & 4.4104847120218 \tabularnewline
214 & 721 & 1022.88956762432 & -301.88956762432 \tabularnewline
215 & 1109 & 743.93578500863 & 365.06421499137 \tabularnewline
216 & 740 & 623.604415634346 & 116.395584365654 \tabularnewline
217 & 1126 & 874.676553396822 & 251.323446603178 \tabularnewline
218 & 728 & 803.857972735256 & -75.8579727352565 \tabularnewline
219 & 689 & 829.417826579787 & -140.417826579787 \tabularnewline
220 & 592 & 817.78732271654 & -225.78732271654 \tabularnewline
221 & 995 & 860.477032299807 & 134.522967700193 \tabularnewline
222 & 1613 & 1147.59486022876 & 465.405139771238 \tabularnewline
223 & 2048 & 1223.78627994738 & 824.213720052624 \tabularnewline
224 & 705 & 714.390097318335 & -9.39009731833456 \tabularnewline
225 & 301 & 447.604489309518 & -146.604489309518 \tabularnewline
226 & 1803 & 1606.43264324209 & 196.567356757915 \tabularnewline
227 & 799 & 923.743210653009 & -124.743210653009 \tabularnewline
228 & 861 & 769.792385803922 & 91.207614196078 \tabularnewline
229 & 1186 & 978.777993980241 & 207.222006019759 \tabularnewline
230 & 1451 & 835.941447665612 & 615.058552334388 \tabularnewline
231 & 628 & 515.30842722057 & 112.69157277943 \tabularnewline
232 & 1161 & 998.69997726124 & 162.30002273876 \tabularnewline
233 & 1463 & 1026.33376758723 & 436.666232412773 \tabularnewline
234 & 742 & 652.498268099922 & 89.5017319000778 \tabularnewline
235 & 979 & 858.221107083182 & 120.778892916818 \tabularnewline
236 & 675 & 886.15410777411 & -211.15410777411 \tabularnewline
237 & 1241 & 1418.75894308594 & -177.758943085944 \tabularnewline
238 & 676 & 594.723497748943 & 81.2765022510566 \tabularnewline
239 & 1049 & 840.27309483209 & 208.72690516791 \tabularnewline
240 & 620 & 573.215138710788 & 46.7848612892125 \tabularnewline
241 & 1081 & 945.831024678024 & 135.168975321976 \tabularnewline
242 & 1688 & 1748.1284671397 & -60.1284671397 \tabularnewline
243 & 736 & 865.199176705079 & -129.199176705079 \tabularnewline
244 & 617 & 715.512571214511 & -98.5125712145105 \tabularnewline
245 & 812 & 818.016712616173 & -6.01671261617304 \tabularnewline
246 & 1051 & 898.686481695879 & 152.313518304121 \tabularnewline
247 & 1656 & 1269.92307159965 & 386.076928400352 \tabularnewline
248 & 705 & 954.091300775449 & -249.091300775449 \tabularnewline
249 & 945 & 1006.75831511752 & -61.7583151175242 \tabularnewline
250 & 554 & 586.615771714035 & -32.6157717140351 \tabularnewline
251 & 1597 & 1548.47817247936 & 48.5218275206384 \tabularnewline
252 & 982 & 1018.94006690752 & -36.9400669075174 \tabularnewline
253 & 222 & 499.357769185641 & -277.357769185641 \tabularnewline
254 & 1212 & 1133.65416711213 & 78.3458328878743 \tabularnewline
255 & 1143 & 1025.62469810655 & 117.375301893446 \tabularnewline
256 & 435 & 583.025947832852 & -148.025947832852 \tabularnewline
257 & 532 & 572.428944945414 & -40.4289449454143 \tabularnewline
258 & 882 & 1060.92104210771 & -178.921042107711 \tabularnewline
259 & 608 & 846.738811506101 & -238.738811506101 \tabularnewline
260 & 459 & 672.803789158891 & -213.803789158891 \tabularnewline
261 & 578 & 488.872013051952 & 89.1279869480481 \tabularnewline
262 & 826 & 904.315029327428 & -78.3150293274281 \tabularnewline
263 & 509 & 628.066083571144 & -119.066083571144 \tabularnewline
264 & 717 & 734.111925813582 & -17.1119258135821 \tabularnewline
265 & 637 & 693.299257135955 & -56.299257135955 \tabularnewline
266 & 857 & 961.298097235568 & -104.298097235568 \tabularnewline
267 & 830 & 851.254365275236 & -21.2543652752357 \tabularnewline
268 & 652 & 898.086109369726 & -246.086109369726 \tabularnewline
269 & 707 & 1164.43704212504 & -457.437042125042 \tabularnewline
270 & 954 & 985.931174749532 & -31.9311747495318 \tabularnewline
271 & 1461 & 1152.4494597789 & 308.5505402211 \tabularnewline
272 & 672 & 802.783217818133 & -130.783217818133 \tabularnewline
273 & 778 & 699.991536588304 & 78.0084634116964 \tabularnewline
274 & 1141 & 1252.10376712368 & -111.103767123684 \tabularnewline
275 & 680 & 805.689811452357 & -125.689811452357 \tabularnewline
276 & 1090 & 1038.20108036413 & 51.7989196358674 \tabularnewline
277 & 616 & 692.828390604015 & -76.8283906040149 \tabularnewline
278 & 285 & 496.343155682733 & -211.343155682733 \tabularnewline
279 & 1145 & 1023.38375708408 & 121.61624291592 \tabularnewline
280 & 733 & 804.539322413611 & -71.5393224136113 \tabularnewline
281 & 888 & 809.625305480039 & 78.3746945199611 \tabularnewline
282 & 849 & 1029.96369526121 & -180.96369526121 \tabularnewline
283 & 1182 & 1066.17114739494 & 115.828852605058 \tabularnewline
284 & 528 & 650.433868297054 & -122.433868297054 \tabularnewline
285 & 642 & 750.581897618269 & -108.581897618269 \tabularnewline
286 & 947 & 619.237433606862 & 327.762566393138 \tabularnewline
287 & 819 & 731.767974217504 & 87.2320257824959 \tabularnewline
288 & 757 & 693.113152269394 & 63.8868477306057 \tabularnewline
289 & 894 & 735.335655067557 & 158.664344932443 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197032&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]1418[/C][C]1731.28441008964[/C][C]-313.284410089644[/C][/ROW]
[ROW][C]2[/C][C]869[/C][C]1207.31787125158[/C][C]-338.317871251582[/C][/ROW]
[ROW][C]3[/C][C]1530[/C][C]1652.11801013377[/C][C]-122.118010133775[/C][/ROW]
[ROW][C]4[/C][C]2172[/C][C]1881.24808800905[/C][C]290.751911990954[/C][/ROW]
[ROW][C]5[/C][C]901[/C][C]1321.04928938199[/C][C]-420.049289381986[/C][/ROW]
[ROW][C]6[/C][C]463[/C][C]470.764005991142[/C][C]-7.76400599114154[/C][/ROW]
[ROW][C]7[/C][C]3201[/C][C]3267.71474294829[/C][C]-66.7147429482897[/C][/ROW]
[ROW][C]8[/C][C]371[/C][C]467.494104685843[/C][C]-96.4941046858429[/C][/ROW]
[ROW][C]9[/C][C]1192[/C][C]1224.82763570828[/C][C]-32.8276357082821[/C][/ROW]
[ROW][C]10[/C][C]1583[/C][C]1276.46558727527[/C][C]306.534412724725[/C][/ROW]
[ROW][C]11[/C][C]1439[/C][C]1489.15707813946[/C][C]-50.1570781394601[/C][/ROW]
[ROW][C]12[/C][C]1764[/C][C]2078.13559561336[/C][C]-314.135595613359[/C][/ROW]
[ROW][C]13[/C][C]1495[/C][C]1923.98764139394[/C][C]-428.98764139394[/C][/ROW]
[ROW][C]14[/C][C]1373[/C][C]1467.44215645126[/C][C]-94.4421564512606[/C][/ROW]
[ROW][C]15[/C][C]2187[/C][C]2282.31935281842[/C][C]-95.3193528184221[/C][/ROW]
[ROW][C]16[/C][C]1491[/C][C]1810.35716195457[/C][C]-319.357161954567[/C][/ROW]
[ROW][C]17[/C][C]4041[/C][C]3339.74782052496[/C][C]701.25217947504[/C][/ROW]
[ROW][C]18[/C][C]1706[/C][C]1949.8743384225[/C][C]-243.874338422498[/C][/ROW]
[ROW][C]19[/C][C]2152[/C][C]2414.26730831075[/C][C]-262.26730831075[/C][/ROW]
[ROW][C]20[/C][C]1036[/C][C]1228.93680341827[/C][C]-192.936803418275[/C][/ROW]
[ROW][C]21[/C][C]1882[/C][C]1986.07241400203[/C][C]-104.072414002028[/C][/ROW]
[ROW][C]22[/C][C]1929[/C][C]1867.15805004562[/C][C]61.8419499543846[/C][/ROW]
[ROW][C]23[/C][C]2242[/C][C]2834.25405404963[/C][C]-592.254054049631[/C][/ROW]
[ROW][C]24[/C][C]1220[/C][C]1427.043877143[/C][C]-207.043877143[/C][/ROW]
[ROW][C]25[/C][C]1289[/C][C]1272.46393052728[/C][C]16.5360694727214[/C][/ROW]
[ROW][C]26[/C][C]2515[/C][C]1978.52235884577[/C][C]536.477641154227[/C][/ROW]
[ROW][C]27[/C][C]2147[/C][C]1831.83986919975[/C][C]315.160130800252[/C][/ROW]
[ROW][C]28[/C][C]2352[/C][C]2306.3486069961[/C][C]45.6513930039042[/C][/ROW]
[ROW][C]29[/C][C]1638[/C][C]2131.92387217905[/C][C]-493.923872179052[/C][/ROW]
[ROW][C]30[/C][C]1222[/C][C]1247.53819406632[/C][C]-25.5381940663243[/C][/ROW]
[ROW][C]31[/C][C]1812[/C][C]1961.79098709834[/C][C]-149.790987098336[/C][/ROW]
[ROW][C]32[/C][C]1677[/C][C]1852.34640221923[/C][C]-175.34640221923[/C][/ROW]
[ROW][C]33[/C][C]1579[/C][C]1406.7266173812[/C][C]172.273382618799[/C][/ROW]
[ROW][C]34[/C][C]1731[/C][C]2309.02947381992[/C][C]-578.029473819921[/C][/ROW]
[ROW][C]35[/C][C]807[/C][C]978.319726382923[/C][C]-171.319726382923[/C][/ROW]
[ROW][C]36[/C][C]2452[/C][C]2463.84390855976[/C][C]-11.843908559759[/C][/ROW]
[ROW][C]37[/C][C]829[/C][C]1080.65133937497[/C][C]-251.651339374972[/C][/ROW]
[ROW][C]38[/C][C]1940[/C][C]1916.16837029326[/C][C]23.831629706738[/C][/ROW]
[ROW][C]39[/C][C]2662[/C][C]2837.21478848821[/C][C]-175.214788488209[/C][/ROW]
[ROW][C]40[/C][C]186[/C][C]419.523451026794[/C][C]-233.523451026794[/C][/ROW]
[ROW][C]41[/C][C]1499[/C][C]1617.1373749371[/C][C]-118.137374937102[/C][/ROW]
[ROW][C]42[/C][C]865[/C][C]1124.51312749501[/C][C]-259.513127495005[/C][/ROW]
[ROW][C]43[/C][C]1793[/C][C]1347.75908194592[/C][C]445.240918054083[/C][/ROW]
[ROW][C]44[/C][C]2527[/C][C]2734.91651623672[/C][C]-207.916516236721[/C][/ROW]
[ROW][C]45[/C][C]2747[/C][C]2576.80663846259[/C][C]170.193361537407[/C][/ROW]
[ROW][C]46[/C][C]1324[/C][C]1487.12215707513[/C][C]-163.122157075132[/C][/ROW]
[ROW][C]47[/C][C]2702[/C][C]1961.98376397783[/C][C]740.016236022165[/C][/ROW]
[ROW][C]48[/C][C]1383[/C][C]1582.66749135768[/C][C]-199.667491357681[/C][/ROW]
[ROW][C]49[/C][C]1179[/C][C]1106.85470641245[/C][C]72.1452935875483[/C][/ROW]
[ROW][C]50[/C][C]2099[/C][C]1583.82493176903[/C][C]515.175068230971[/C][/ROW]
[ROW][C]51[/C][C]4308[/C][C]3282.08971004196[/C][C]1025.91028995804[/C][/ROW]
[ROW][C]52[/C][C]918[/C][C]990.822432509907[/C][C]-72.8224325099068[/C][/ROW]
[ROW][C]53[/C][C]1831[/C][C]1658.21087459635[/C][C]172.789125403646[/C][/ROW]
[ROW][C]54[/C][C]3373[/C][C]2550.57078278665[/C][C]822.429217213347[/C][/ROW]
[ROW][C]55[/C][C]1713[/C][C]1439.4753924337[/C][C]273.524607566304[/C][/ROW]
[ROW][C]56[/C][C]1438[/C][C]1577.50643264451[/C][C]-139.506432644511[/C][/ROW]
[ROW][C]57[/C][C]496[/C][C]577.083574211033[/C][C]-81.0835742110332[/C][/ROW]
[ROW][C]58[/C][C]2253[/C][C]3708.8106182528[/C][C]-1455.8106182528[/C][/ROW]
[ROW][C]59[/C][C]744[/C][C]801.621074164431[/C][C]-57.621074164431[/C][/ROW]
[ROW][C]60[/C][C]1161[/C][C]1297.16098601629[/C][C]-136.160986016291[/C][/ROW]
[ROW][C]61[/C][C]2352[/C][C]1796.51295671618[/C][C]555.487043283816[/C][/ROW]
[ROW][C]62[/C][C]2144[/C][C]2096.98142100228[/C][C]47.018578997717[/C][/ROW]
[ROW][C]63[/C][C]4691[/C][C]3395.17537172296[/C][C]1295.82462827704[/C][/ROW]
[ROW][C]64[/C][C]1112[/C][C]1161.5799251385[/C][C]-49.579925138498[/C][/ROW]
[ROW][C]65[/C][C]2694[/C][C]2154.32321028218[/C][C]539.676789717821[/C][/ROW]
[ROW][C]66[/C][C]1973[/C][C]2439.5793791457[/C][C]-466.579379145702[/C][/ROW]
[ROW][C]67[/C][C]1769[/C][C]2174.24786397809[/C][C]-405.247863978086[/C][/ROW]
[ROW][C]68[/C][C]3148[/C][C]2974.70456910057[/C][C]173.295430899434[/C][/ROW]
[ROW][C]69[/C][C]2474[/C][C]2234.64805518368[/C][C]239.351944816319[/C][/ROW]
[ROW][C]70[/C][C]2084[/C][C]1865.57970636373[/C][C]218.420293636273[/C][/ROW]
[ROW][C]71[/C][C]1954[/C][C]1870.3282416498[/C][C]83.6717583501954[/C][/ROW]
[ROW][C]72[/C][C]1226[/C][C]1523.09768521557[/C][C]-297.097685215567[/C][/ROW]
[ROW][C]73[/C][C]1389[/C][C]1618.08028212635[/C][C]-229.080282126348[/C][/ROW]
[ROW][C]74[/C][C]1496[/C][C]1639.09506083548[/C][C]-143.095060835484[/C][/ROW]
[ROW][C]75[/C][C]2269[/C][C]2122.89765920048[/C][C]146.102340799523[/C][/ROW]
[ROW][C]76[/C][C]1833[/C][C]1846.34017619221[/C][C]-13.3401761922146[/C][/ROW]
[ROW][C]77[/C][C]1268[/C][C]1643.71723643168[/C][C]-375.717236431678[/C][/ROW]
[ROW][C]78[/C][C]1943[/C][C]1791.59339241779[/C][C]151.406607582209[/C][/ROW]
[ROW][C]79[/C][C]893[/C][C]920.435708580727[/C][C]-27.4357085807268[/C][/ROW]
[ROW][C]80[/C][C]1762[/C][C]1796.67971088839[/C][C]-34.6797108883902[/C][/ROW]
[ROW][C]81[/C][C]1403[/C][C]1460.70468729702[/C][C]-57.7046872970204[/C][/ROW]
[ROW][C]82[/C][C]1425[/C][C]1428.74442339286[/C][C]-3.74442339286489[/C][/ROW]
[ROW][C]83[/C][C]1857[/C][C]2501.3624731306[/C][C]-644.362473130601[/C][/ROW]
[ROW][C]84[/C][C]1840[/C][C]2169.43462705452[/C][C]-329.43462705452[/C][/ROW]
[ROW][C]85[/C][C]1502[/C][C]1929.58038501579[/C][C]-427.580385015788[/C][/ROW]
[ROW][C]86[/C][C]1441[/C][C]1480.47130989357[/C][C]-39.4713098935713[/C][/ROW]
[ROW][C]87[/C][C]1420[/C][C]1444.90085292672[/C][C]-24.9008529267203[/C][/ROW]
[ROW][C]88[/C][C]1416[/C][C]1247.62443062969[/C][C]168.375569370313[/C][/ROW]
[ROW][C]89[/C][C]2970[/C][C]2998.30679325298[/C][C]-28.306793252983[/C][/ROW]
[ROW][C]90[/C][C]1317[/C][C]1511.39424623076[/C][C]-194.394246230758[/C][/ROW]
[ROW][C]91[/C][C]1644[/C][C]2071.44787345429[/C][C]-427.447873454294[/C][/ROW]
[ROW][C]92[/C][C]870[/C][C]965.929132584183[/C][C]-95.9291325841829[/C][/ROW]
[ROW][C]93[/C][C]1654[/C][C]1227.10496315098[/C][C]426.895036849018[/C][/ROW]
[ROW][C]94[/C][C]1054[/C][C]1282.36157701432[/C][C]-228.361577014316[/C][/ROW]
[ROW][C]95[/C][C]937[/C][C]1200.00048957343[/C][C]-263.000489573431[/C][/ROW]
[ROW][C]96[/C][C]3004[/C][C]2825.06565443352[/C][C]178.934345566481[/C][/ROW]
[ROW][C]97[/C][C]2008[/C][C]2249.89759354728[/C][C]-241.897593547278[/C][/ROW]
[ROW][C]98[/C][C]2547[/C][C]1742.22487986632[/C][C]804.775120133682[/C][/ROW]
[ROW][C]99[/C][C]1885[/C][C]1965.51394877101[/C][C]-80.5139487710114[/C][/ROW]
[ROW][C]100[/C][C]1626[/C][C]1777.45674691524[/C][C]-151.456746915243[/C][/ROW]
[ROW][C]101[/C][C]1468[/C][C]1394.83367631134[/C][C]73.1663236886562[/C][/ROW]
[ROW][C]102[/C][C]2445[/C][C]2078.41634734679[/C][C]366.583652653209[/C][/ROW]
[ROW][C]103[/C][C]1964[/C][C]1943.44706000869[/C][C]20.5529399913094[/C][/ROW]
[ROW][C]104[/C][C]1381[/C][C]1334.12039203067[/C][C]46.8796079693294[/C][/ROW]
[ROW][C]105[/C][C]1369[/C][C]1475.77109022679[/C][C]-106.771090226787[/C][/ROW]
[ROW][C]106[/C][C]1659[/C][C]1974.65284772184[/C][C]-315.652847721839[/C][/ROW]
[ROW][C]107[/C][C]2888[/C][C]2618.00212746635[/C][C]269.997872533653[/C][/ROW]
[ROW][C]108[/C][C]1290[/C][C]982.824411489081[/C][C]307.175588510919[/C][/ROW]
[ROW][C]109[/C][C]2845[/C][C]2659.0435866861[/C][C]185.956413313898[/C][/ROW]
[ROW][C]110[/C][C]1982[/C][C]2242.12729360703[/C][C]-260.127293607031[/C][/ROW]
[ROW][C]111[/C][C]1904[/C][C]1910.47441538656[/C][C]-6.47441538656178[/C][/ROW]
[ROW][C]112[/C][C]1391[/C][C]1866.84021172228[/C][C]-475.840211722276[/C][/ROW]
[ROW][C]113[/C][C]602[/C][C]483.950228440936[/C][C]118.049771559064[/C][/ROW]
[ROW][C]114[/C][C]1743[/C][C]1727.02611639325[/C][C]15.9738836067468[/C][/ROW]
[ROW][C]115[/C][C]1559[/C][C]1603.52332530423[/C][C]-44.5233253042328[/C][/ROW]
[ROW][C]116[/C][C]2014[/C][C]1825.54255731663[/C][C]188.457442683369[/C][/ROW]
[ROW][C]117[/C][C]2143[/C][C]2418.59013211114[/C][C]-275.590132111143[/C][/ROW]
[ROW][C]118[/C][C]2146[/C][C]2088.1071544811[/C][C]57.8928455189036[/C][/ROW]
[ROW][C]119[/C][C]874[/C][C]871.085331281332[/C][C]2.91466871866779[/C][/ROW]
[ROW][C]120[/C][C]1590[/C][C]1302.57150618529[/C][C]287.428493814714[/C][/ROW]
[ROW][C]121[/C][C]1590[/C][C]1394.6431021545[/C][C]195.356897845498[/C][/ROW]
[ROW][C]122[/C][C]1210[/C][C]1123.75757774201[/C][C]86.2424222579892[/C][/ROW]
[ROW][C]123[/C][C]2072[/C][C]1447.16117494528[/C][C]624.838825054718[/C][/ROW]
[ROW][C]124[/C][C]1281[/C][C]1321.39615663159[/C][C]-40.396156631587[/C][/ROW]
[ROW][C]125[/C][C]1401[/C][C]1805.91022730919[/C][C]-404.910227309193[/C][/ROW]
[ROW][C]126[/C][C]834[/C][C]1047.9778017628[/C][C]-213.9778017628[/C][/ROW]
[ROW][C]127[/C][C]1105[/C][C]1243.34482397527[/C][C]-138.34482397527[/C][/ROW]
[ROW][C]128[/C][C]1272[/C][C]1058.05871896699[/C][C]213.941281033006[/C][/ROW]
[ROW][C]129[/C][C]1944[/C][C]2295.91870829617[/C][C]-351.918708296171[/C][/ROW]
[ROW][C]130[/C][C]391[/C][C]532.080221721514[/C][C]-141.080221721514[/C][/ROW]
[ROW][C]131[/C][C]761[/C][C]744.772866751298[/C][C]16.2271332487016[/C][/ROW]
[ROW][C]132[/C][C]1605[/C][C]1650.72510118962[/C][C]-45.7251011896237[/C][/ROW]
[ROW][C]133[/C][C]530[/C][C]890.546480012337[/C][C]-360.546480012337[/C][/ROW]
[ROW][C]134[/C][C]1988[/C][C]1223.83860663788[/C][C]764.161393362122[/C][/ROW]
[ROW][C]135[/C][C]1386[/C][C]1295.29006123748[/C][C]90.7099387625169[/C][/ROW]
[ROW][C]136[/C][C]2395[/C][C]2656.8620977505[/C][C]-261.862097750502[/C][/ROW]
[ROW][C]137[/C][C]387[/C][C]516.292982729394[/C][C]-129.292982729394[/C][/ROW]
[ROW][C]138[/C][C]1742[/C][C]1849.13874666912[/C][C]-107.138746669117[/C][/ROW]
[ROW][C]139[/C][C]620[/C][C]468.922566740273[/C][C]151.077433259727[/C][/ROW]
[ROW][C]140[/C][C]449[/C][C]541.675294240135[/C][C]-92.6752942401349[/C][/ROW]
[ROW][C]141[/C][C]800[/C][C]769.302017134862[/C][C]30.6979828651377[/C][/ROW]
[ROW][C]142[/C][C]1684[/C][C]1413.76883926751[/C][C]270.231160732488[/C][/ROW]
[ROW][C]143[/C][C]1050[/C][C]937.258865736415[/C][C]112.741134263585[/C][/ROW]
[ROW][C]144[/C][C]2699[/C][C]2410.3196252063[/C][C]288.680374793705[/C][/ROW]
[ROW][C]145[/C][C]1606[/C][C]1633.62228514319[/C][C]-27.6222851431889[/C][/ROW]
[ROW][C]146[/C][C]1502[/C][C]1014.15975895044[/C][C]487.840241049557[/C][/ROW]
[ROW][C]147[/C][C]1204[/C][C]1369.57517996304[/C][C]-165.57517996304[/C][/ROW]
[ROW][C]148[/C][C]1138[/C][C]875.388718818394[/C][C]262.611281181606[/C][/ROW]
[ROW][C]149[/C][C]568[/C][C]720.108774443141[/C][C]-152.108774443141[/C][/ROW]
[ROW][C]150[/C][C]1459[/C][C]1296.52458564155[/C][C]162.475414358452[/C][/ROW]
[ROW][C]151[/C][C]2158[/C][C]2227.53241446117[/C][C]-69.5324144611687[/C][/ROW]
[ROW][C]152[/C][C]1111[/C][C]1226.48555850913[/C][C]-115.485558509128[/C][/ROW]
[ROW][C]153[/C][C]1421[/C][C]1363.71371337487[/C][C]57.2862866251283[/C][/ROW]
[ROW][C]154[/C][C]2833[/C][C]2742.17325259359[/C][C]90.8267474064053[/C][/ROW]
[ROW][C]155[/C][C]1955[/C][C]2367.06472863541[/C][C]-412.064728635411[/C][/ROW]
[ROW][C]156[/C][C]2922[/C][C]2812.09671706999[/C][C]109.903282930005[/C][/ROW]
[ROW][C]157[/C][C]1002[/C][C]1300.07176367202[/C][C]-298.071763672021[/C][/ROW]
[ROW][C]158[/C][C]1060[/C][C]920.748179053063[/C][C]139.251820946937[/C][/ROW]
[ROW][C]159[/C][C]956[/C][C]875.668853251583[/C][C]80.3311467484168[/C][/ROW]
[ROW][C]160[/C][C]2186[/C][C]3010.65662062917[/C][C]-824.656620629172[/C][/ROW]
[ROW][C]161[/C][C]3604[/C][C]3109.67749298526[/C][C]494.32250701474[/C][/ROW]
[ROW][C]162[/C][C]1035[/C][C]953.992663220519[/C][C]81.0073367794808[/C][/ROW]
[ROW][C]163[/C][C]1417[/C][C]1615.04400382663[/C][C]-198.044003826632[/C][/ROW]
[ROW][C]164[/C][C]3261[/C][C]2891.47468274979[/C][C]369.525317250207[/C][/ROW]
[ROW][C]165[/C][C]1587[/C][C]1426.83774776621[/C][C]160.16225223379[/C][/ROW]
[ROW][C]166[/C][C]1424[/C][C]1718.15251187621[/C][C]-294.152511876206[/C][/ROW]
[ROW][C]167[/C][C]1701[/C][C]1568.79271500237[/C][C]132.207284997633[/C][/ROW]
[ROW][C]168[/C][C]1249[/C][C]1407.87629573903[/C][C]-158.876295739028[/C][/ROW]
[ROW][C]169[/C][C]946[/C][C]1339.78083745453[/C][C]-393.78083745453[/C][/ROW]
[ROW][C]170[/C][C]1926[/C][C]2249.03327723898[/C][C]-323.033277238981[/C][/ROW]
[ROW][C]171[/C][C]3352[/C][C]2827.49485378656[/C][C]524.505146213439[/C][/ROW]
[ROW][C]172[/C][C]1641[/C][C]1715.08809155935[/C][C]-74.0880915593487[/C][/ROW]
[ROW][C]173[/C][C]2035[/C][C]1834.78637818995[/C][C]200.213621810051[/C][/ROW]
[ROW][C]174[/C][C]2312[/C][C]2467.80571999937[/C][C]-155.805719999368[/C][/ROW]
[ROW][C]175[/C][C]1369[/C][C]1423.20501348117[/C][C]-54.2050134811709[/C][/ROW]
[ROW][C]176[/C][C]1577[/C][C]1242.01992306284[/C][C]334.980076937156[/C][/ROW]
[ROW][C]177[/C][C]2201[/C][C]1810.79684920308[/C][C]390.203150796923[/C][/ROW]
[ROW][C]178[/C][C]961[/C][C]993.742273756296[/C][C]-32.7422737562964[/C][/ROW]
[ROW][C]179[/C][C]1900[/C][C]2130.97628423417[/C][C]-230.976284234171[/C][/ROW]
[ROW][C]180[/C][C]1254[/C][C]1448.78403764035[/C][C]-194.784037640352[/C][/ROW]
[ROW][C]181[/C][C]1335[/C][C]1181.24644552884[/C][C]153.753554471165[/C][/ROW]
[ROW][C]182[/C][C]1597[/C][C]1308.54947333746[/C][C]288.450526662537[/C][/ROW]
[ROW][C]183[/C][C]207[/C][C]431.571829450927[/C][C]-224.571829450927[/C][/ROW]
[ROW][C]184[/C][C]1645[/C][C]1637.88787655243[/C][C]7.11212344756674[/C][/ROW]
[ROW][C]185[/C][C]2429[/C][C]2497.78929123047[/C][C]-68.7892912304727[/C][/ROW]
[ROW][C]186[/C][C]151[/C][C]375.559922429303[/C][C]-224.559922429303[/C][/ROW]
[ROW][C]187[/C][C]474[/C][C]705.341589917018[/C][C]-231.341589917018[/C][/ROW]
[ROW][C]188[/C][C]141[/C][C]398.834357252435[/C][C]-257.834357252435[/C][/ROW]
[ROW][C]189[/C][C]1639[/C][C]1257.91903273142[/C][C]381.080967268577[/C][/ROW]
[ROW][C]190[/C][C]872[/C][C]1059.09258526956[/C][C]-187.092585269559[/C][/ROW]
[ROW][C]191[/C][C]1318[/C][C]1470.38118851045[/C][C]-152.381188510452[/C][/ROW]
[ROW][C]192[/C][C]1018[/C][C]1039.10220182347[/C][C]-21.1022018234657[/C][/ROW]
[ROW][C]193[/C][C]1383[/C][C]1110.34784155012[/C][C]272.652158449878[/C][/ROW]
[ROW][C]194[/C][C]1314[/C][C]781.174675420932[/C][C]532.825324579068[/C][/ROW]
[ROW][C]195[/C][C]1335[/C][C]1297.4967838189[/C][C]37.5032161811017[/C][/ROW]
[ROW][C]196[/C][C]1403[/C][C]1280.63065267438[/C][C]122.369347325622[/C][/ROW]
[ROW][C]197[/C][C]910[/C][C]794.477099644301[/C][C]115.522900355699[/C][/ROW]
[ROW][C]198[/C][C]616[/C][C]626.921465597646[/C][C]-10.9214655976461[/C][/ROW]
[ROW][C]199[/C][C]1407[/C][C]1110.65237099382[/C][C]296.347629006177[/C][/ROW]
[ROW][C]200[/C][C]771[/C][C]766.915859443594[/C][C]4.08414055640555[/C][/ROW]
[ROW][C]201[/C][C]766[/C][C]1001.36418007844[/C][C]-235.364180078438[/C][/ROW]
[ROW][C]202[/C][C]473[/C][C]649.912402519876[/C][C]-176.912402519876[/C][/ROW]
[ROW][C]203[/C][C]1376[/C][C]1488.39829048424[/C][C]-112.39829048424[/C][/ROW]
[ROW][C]204[/C][C]1232[/C][C]1208.89070323522[/C][C]23.109296764778[/C][/ROW]
[ROW][C]205[/C][C]1521[/C][C]1008.7857227005[/C][C]512.214277299503[/C][/ROW]
[ROW][C]206[/C][C]572[/C][C]592.354553194018[/C][C]-20.3545531940181[/C][/ROW]
[ROW][C]207[/C][C]1059[/C][C]1004.44313730009[/C][C]54.5568626999144[/C][/ROW]
[ROW][C]208[/C][C]1544[/C][C]1660.97902342966[/C][C]-116.979023429655[/C][/ROW]
[ROW][C]209[/C][C]1230[/C][C]1360.96498951466[/C][C]-130.964989514659[/C][/ROW]
[ROW][C]210[/C][C]1206[/C][C]1270.3932274314[/C][C]-64.3932274314036[/C][/ROW]
[ROW][C]211[/C][C]1205[/C][C]1161.02855347995[/C][C]43.9714465200528[/C][/ROW]
[ROW][C]212[/C][C]1255[/C][C]1248.93902107762[/C][C]6.06097892238421[/C][/ROW]
[ROW][C]213[/C][C]613[/C][C]608.589515287978[/C][C]4.4104847120218[/C][/ROW]
[ROW][C]214[/C][C]721[/C][C]1022.88956762432[/C][C]-301.88956762432[/C][/ROW]
[ROW][C]215[/C][C]1109[/C][C]743.93578500863[/C][C]365.06421499137[/C][/ROW]
[ROW][C]216[/C][C]740[/C][C]623.604415634346[/C][C]116.395584365654[/C][/ROW]
[ROW][C]217[/C][C]1126[/C][C]874.676553396822[/C][C]251.323446603178[/C][/ROW]
[ROW][C]218[/C][C]728[/C][C]803.857972735256[/C][C]-75.8579727352565[/C][/ROW]
[ROW][C]219[/C][C]689[/C][C]829.417826579787[/C][C]-140.417826579787[/C][/ROW]
[ROW][C]220[/C][C]592[/C][C]817.78732271654[/C][C]-225.78732271654[/C][/ROW]
[ROW][C]221[/C][C]995[/C][C]860.477032299807[/C][C]134.522967700193[/C][/ROW]
[ROW][C]222[/C][C]1613[/C][C]1147.59486022876[/C][C]465.405139771238[/C][/ROW]
[ROW][C]223[/C][C]2048[/C][C]1223.78627994738[/C][C]824.213720052624[/C][/ROW]
[ROW][C]224[/C][C]705[/C][C]714.390097318335[/C][C]-9.39009731833456[/C][/ROW]
[ROW][C]225[/C][C]301[/C][C]447.604489309518[/C][C]-146.604489309518[/C][/ROW]
[ROW][C]226[/C][C]1803[/C][C]1606.43264324209[/C][C]196.567356757915[/C][/ROW]
[ROW][C]227[/C][C]799[/C][C]923.743210653009[/C][C]-124.743210653009[/C][/ROW]
[ROW][C]228[/C][C]861[/C][C]769.792385803922[/C][C]91.207614196078[/C][/ROW]
[ROW][C]229[/C][C]1186[/C][C]978.777993980241[/C][C]207.222006019759[/C][/ROW]
[ROW][C]230[/C][C]1451[/C][C]835.941447665612[/C][C]615.058552334388[/C][/ROW]
[ROW][C]231[/C][C]628[/C][C]515.30842722057[/C][C]112.69157277943[/C][/ROW]
[ROW][C]232[/C][C]1161[/C][C]998.69997726124[/C][C]162.30002273876[/C][/ROW]
[ROW][C]233[/C][C]1463[/C][C]1026.33376758723[/C][C]436.666232412773[/C][/ROW]
[ROW][C]234[/C][C]742[/C][C]652.498268099922[/C][C]89.5017319000778[/C][/ROW]
[ROW][C]235[/C][C]979[/C][C]858.221107083182[/C][C]120.778892916818[/C][/ROW]
[ROW][C]236[/C][C]675[/C][C]886.15410777411[/C][C]-211.15410777411[/C][/ROW]
[ROW][C]237[/C][C]1241[/C][C]1418.75894308594[/C][C]-177.758943085944[/C][/ROW]
[ROW][C]238[/C][C]676[/C][C]594.723497748943[/C][C]81.2765022510566[/C][/ROW]
[ROW][C]239[/C][C]1049[/C][C]840.27309483209[/C][C]208.72690516791[/C][/ROW]
[ROW][C]240[/C][C]620[/C][C]573.215138710788[/C][C]46.7848612892125[/C][/ROW]
[ROW][C]241[/C][C]1081[/C][C]945.831024678024[/C][C]135.168975321976[/C][/ROW]
[ROW][C]242[/C][C]1688[/C][C]1748.1284671397[/C][C]-60.1284671397[/C][/ROW]
[ROW][C]243[/C][C]736[/C][C]865.199176705079[/C][C]-129.199176705079[/C][/ROW]
[ROW][C]244[/C][C]617[/C][C]715.512571214511[/C][C]-98.5125712145105[/C][/ROW]
[ROW][C]245[/C][C]812[/C][C]818.016712616173[/C][C]-6.01671261617304[/C][/ROW]
[ROW][C]246[/C][C]1051[/C][C]898.686481695879[/C][C]152.313518304121[/C][/ROW]
[ROW][C]247[/C][C]1656[/C][C]1269.92307159965[/C][C]386.076928400352[/C][/ROW]
[ROW][C]248[/C][C]705[/C][C]954.091300775449[/C][C]-249.091300775449[/C][/ROW]
[ROW][C]249[/C][C]945[/C][C]1006.75831511752[/C][C]-61.7583151175242[/C][/ROW]
[ROW][C]250[/C][C]554[/C][C]586.615771714035[/C][C]-32.6157717140351[/C][/ROW]
[ROW][C]251[/C][C]1597[/C][C]1548.47817247936[/C][C]48.5218275206384[/C][/ROW]
[ROW][C]252[/C][C]982[/C][C]1018.94006690752[/C][C]-36.9400669075174[/C][/ROW]
[ROW][C]253[/C][C]222[/C][C]499.357769185641[/C][C]-277.357769185641[/C][/ROW]
[ROW][C]254[/C][C]1212[/C][C]1133.65416711213[/C][C]78.3458328878743[/C][/ROW]
[ROW][C]255[/C][C]1143[/C][C]1025.62469810655[/C][C]117.375301893446[/C][/ROW]
[ROW][C]256[/C][C]435[/C][C]583.025947832852[/C][C]-148.025947832852[/C][/ROW]
[ROW][C]257[/C][C]532[/C][C]572.428944945414[/C][C]-40.4289449454143[/C][/ROW]
[ROW][C]258[/C][C]882[/C][C]1060.92104210771[/C][C]-178.921042107711[/C][/ROW]
[ROW][C]259[/C][C]608[/C][C]846.738811506101[/C][C]-238.738811506101[/C][/ROW]
[ROW][C]260[/C][C]459[/C][C]672.803789158891[/C][C]-213.803789158891[/C][/ROW]
[ROW][C]261[/C][C]578[/C][C]488.872013051952[/C][C]89.1279869480481[/C][/ROW]
[ROW][C]262[/C][C]826[/C][C]904.315029327428[/C][C]-78.3150293274281[/C][/ROW]
[ROW][C]263[/C][C]509[/C][C]628.066083571144[/C][C]-119.066083571144[/C][/ROW]
[ROW][C]264[/C][C]717[/C][C]734.111925813582[/C][C]-17.1119258135821[/C][/ROW]
[ROW][C]265[/C][C]637[/C][C]693.299257135955[/C][C]-56.299257135955[/C][/ROW]
[ROW][C]266[/C][C]857[/C][C]961.298097235568[/C][C]-104.298097235568[/C][/ROW]
[ROW][C]267[/C][C]830[/C][C]851.254365275236[/C][C]-21.2543652752357[/C][/ROW]
[ROW][C]268[/C][C]652[/C][C]898.086109369726[/C][C]-246.086109369726[/C][/ROW]
[ROW][C]269[/C][C]707[/C][C]1164.43704212504[/C][C]-457.437042125042[/C][/ROW]
[ROW][C]270[/C][C]954[/C][C]985.931174749532[/C][C]-31.9311747495318[/C][/ROW]
[ROW][C]271[/C][C]1461[/C][C]1152.4494597789[/C][C]308.5505402211[/C][/ROW]
[ROW][C]272[/C][C]672[/C][C]802.783217818133[/C][C]-130.783217818133[/C][/ROW]
[ROW][C]273[/C][C]778[/C][C]699.991536588304[/C][C]78.0084634116964[/C][/ROW]
[ROW][C]274[/C][C]1141[/C][C]1252.10376712368[/C][C]-111.103767123684[/C][/ROW]
[ROW][C]275[/C][C]680[/C][C]805.689811452357[/C][C]-125.689811452357[/C][/ROW]
[ROW][C]276[/C][C]1090[/C][C]1038.20108036413[/C][C]51.7989196358674[/C][/ROW]
[ROW][C]277[/C][C]616[/C][C]692.828390604015[/C][C]-76.8283906040149[/C][/ROW]
[ROW][C]278[/C][C]285[/C][C]496.343155682733[/C][C]-211.343155682733[/C][/ROW]
[ROW][C]279[/C][C]1145[/C][C]1023.38375708408[/C][C]121.61624291592[/C][/ROW]
[ROW][C]280[/C][C]733[/C][C]804.539322413611[/C][C]-71.5393224136113[/C][/ROW]
[ROW][C]281[/C][C]888[/C][C]809.625305480039[/C][C]78.3746945199611[/C][/ROW]
[ROW][C]282[/C][C]849[/C][C]1029.96369526121[/C][C]-180.96369526121[/C][/ROW]
[ROW][C]283[/C][C]1182[/C][C]1066.17114739494[/C][C]115.828852605058[/C][/ROW]
[ROW][C]284[/C][C]528[/C][C]650.433868297054[/C][C]-122.433868297054[/C][/ROW]
[ROW][C]285[/C][C]642[/C][C]750.581897618269[/C][C]-108.581897618269[/C][/ROW]
[ROW][C]286[/C][C]947[/C][C]619.237433606862[/C][C]327.762566393138[/C][/ROW]
[ROW][C]287[/C][C]819[/C][C]731.767974217504[/C][C]87.2320257824959[/C][/ROW]
[ROW][C]288[/C][C]757[/C][C]693.113152269394[/C][C]63.8868477306057[/C][/ROW]
[ROW][C]289[/C][C]894[/C][C]735.335655067557[/C][C]158.664344932443[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197032&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197032&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
114181731.28441008964-313.284410089644
28691207.31787125158-338.317871251582
315301652.11801013377-122.118010133775
421721881.24808800905290.751911990954
59011321.04928938199-420.049289381986
6463470.764005991142-7.76400599114154
732013267.71474294829-66.7147429482897
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2017661001.36418007844-235.364180078438
202473649.912402519876-176.912402519876
20313761488.39829048424-112.39829048424
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220592817.78732271654-225.78732271654
221995860.477032299807134.522967700193
22216131147.59486022876465.405139771238
22320481223.78627994738824.213720052624
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225301447.604489309518-146.604489309518
22618031606.43264324209196.567356757915
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2291186978.777993980241207.222006019759
2301451835.941447665612615.058552334388
231628515.30842722057112.69157277943
2321161998.69997726124162.30002273876
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234742652.49826809992289.5017319000778
235979858.221107083182120.778892916818
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23712411418.75894308594-177.758943085944
238676594.72349774894381.2765022510566
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240620573.21513871078846.7848612892125
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244617715.512571214511-98.5125712145105
245812818.016712616173-6.01671261617304
2461051898.686481695879152.313518304121
24716561269.92307159965386.076928400352
248705954.091300775449-249.091300775449
2499451006.75831511752-61.7583151175242
250554586.615771714035-32.6157717140351
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2529821018.94006690752-36.9400669075174
253222499.357769185641-277.357769185641
25412121133.6541671121378.3458328878743
25511431025.62469810655117.375301893446
256435583.025947832852-148.025947832852
257532572.428944945414-40.4289449454143
2588821060.92104210771-178.921042107711
259608846.738811506101-238.738811506101
260459672.803789158891-213.803789158891
261578488.87201305195289.1279869480481
262826904.315029327428-78.3150293274281
263509628.066083571144-119.066083571144
264717734.111925813582-17.1119258135821
265637693.299257135955-56.299257135955
266857961.298097235568-104.298097235568
267830851.254365275236-21.2543652752357
268652898.086109369726-246.086109369726
2697071164.43704212504-457.437042125042
270954985.931174749532-31.9311747495318
27114611152.4494597789308.5505402211
272672802.783217818133-130.783217818133
273778699.99153658830478.0084634116964
27411411252.10376712368-111.103767123684
275680805.689811452357-125.689811452357
27610901038.2010803641351.7989196358674
277616692.828390604015-76.8283906040149
278285496.343155682733-211.343155682733
27911451023.38375708408121.61624291592
280733804.539322413611-71.5393224136113
281888809.62530548003978.3746945199611
2828491029.96369526121-180.96369526121
28311821066.17114739494115.828852605058
284528650.433868297054-122.433868297054
285642750.581897618269-108.581897618269
286947619.237433606862327.762566393138
287819731.76797421750487.2320257824959
288757693.11315226939463.8868477306057
289894735.335655067557158.664344932443







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
140.3722107905551360.7444215811102720.627789209444864
150.3710013484242440.7420026968484890.628998651575756
160.2386226166488790.4772452332977580.761377383351121
170.4349895565854130.8699791131708270.565010443414587
180.3426231135571040.6852462271142080.657376886442896
190.5355083521510990.9289832956978010.464491647848901
200.4749571298293430.9499142596586860.525042870170657
210.4368842345579920.8737684691159830.563115765442008
220.3759332060665180.7518664121330360.624066793933482
230.3333246631738720.6666493263477440.666675336826128
240.2630520361291860.5261040722583720.736947963870814
250.2006092346434120.4012184692868250.799390765356588
260.201307439814840.4026148796296790.79869256018516
270.1634609761493380.3269219522986750.836539023850662
280.1398780298904960.2797560597809910.860121970109504
290.3184824897600880.6369649795201750.681517510239912
300.2740238546507150.5480477093014310.725976145349285
310.2207222109626990.4414444219253990.779277789037301
320.2373695655393850.474739131078770.762630434460615
330.3300025362611510.6600050725223020.669997463738849
340.4694136503598610.9388273007197220.530586349640139
350.4105101169912410.8210202339824810.589489883008759
360.3526206137859370.7052412275718740.647379386214063
370.3072614965338940.6145229930677890.692738503466106
380.3234494610819360.6468989221638720.676550538918064
390.2770705121854230.5541410243708450.722929487814577
400.2342158516822040.4684317033644090.765784148317796
410.1933982122191760.3867964244383510.806601787780824
420.1600280339414430.3200560678828870.839971966058557
430.2011157052105910.4022314104211810.798884294789409
440.2333777584450040.4667555168900080.766622241554996
450.3024328367844620.6048656735689250.697567163215538
460.261267258776810.522534517553620.73873274122319
470.4533321436658370.9066642873316750.546667856334163
480.413464486149640.826928972299280.58653551385036
490.3910705221392640.7821410442785290.608929477860736
500.4218718566934150.843743713386830.578128143306585
510.7963002367919320.4073995264161370.203699763208069
520.7630585690072340.4738828619855330.236941430992766
530.7530324431070390.4939351137859230.246967556892961
540.874902507151920.2501949856961610.12509749284808
550.8987018533790310.2025962932419380.101298146620969
560.8802745262880890.2394509474238210.119725473711911
570.8566246118813820.2867507762372370.143375388118618
580.999817986961250.0003640260775003920.000182013038750196
590.999731188332250.0005376233354995880.000268811667749794
600.9996175419370020.0007649161259961450.000382458062998073
610.999866901939210.0002661961215809270.000133098060790464
620.9998070144870550.0003859710258898570.000192985512944928
630.9999997080718195.83856362454586e-072.91928181227293e-07
640.9999995129386369.74122728453037e-074.87061364226519e-07
650.9999999637364157.25271693816697e-083.62635846908349e-08
660.9999999804561083.90877847169972e-081.95438923584986e-08
670.9999999832569773.34860454749909e-081.67430227374955e-08
680.9999999727967245.44065509804289e-082.72032754902145e-08
690.9999999657386686.85226631835256e-083.42613315917628e-08
700.9999999793657014.12685983185533e-082.06342991592767e-08
710.9999999729380025.41239953294191e-082.70619976647096e-08
720.9999999680059816.39880375034877e-083.19940187517439e-08
730.9999999562803348.7439332154598e-084.3719666077299e-08
740.9999999432618581.13476283191697e-075.67381415958483e-08
750.9999999321663031.3566739393519e-076.78336969675951e-08
760.9999998963555192.07288962634975e-071.03644481317487e-07
770.9999999477583581.04483284385513e-075.22416421927566e-08
780.9999999413638621.17272275355143e-075.86361376775713e-08
790.9999999138884011.72223198614459e-078.61115993072293e-08
800.9999998712938192.57412362156732e-071.28706181078366e-07
810.9999997941474224.1170515647617e-072.05852578238085e-07
820.9999996699551126.60089775010154e-073.30044887505077e-07
830.9999999492190271.01561946241859e-075.07809731209293e-08
840.9999999540784559.18430906957247e-084.59215453478623e-08
850.9999999810799863.78400275696795e-081.89200137848397e-08
860.9999999692563546.14872913937912e-083.07436456968956e-08
870.9999999491530441.01693912429877e-075.08469562149384e-08
880.999999930613241.38773519110317e-076.93867595551586e-08
890.9999998879288492.24142301454118e-071.12071150727059e-07
900.9999998562403532.87519293728556e-071.43759646864278e-07
910.9999999031268311.93746338595534e-079.68731692977669e-08
920.999999846535393.06929220803724e-071.53464610401862e-07
930.9999999098921251.80215749142544e-079.0107874571272e-08
940.9999998986478732.02704253886036e-071.01352126943018e-07
950.9999998836162652.32767469873526e-071.16383734936763e-07
960.9999998577692722.84461456390866e-071.42230728195433e-07
970.9999998226438233.54712354135966e-071.77356177067983e-07
980.9999999908505411.82989171155875e-089.14945855779374e-09
990.9999999854366892.91266210459714e-081.45633105229857e-08
1000.9999999788684394.22631217395331e-082.11315608697665e-08
1010.9999999686142556.27714908219044e-083.13857454109522e-08
1020.9999999740587425.18825150700594e-082.59412575350297e-08
1030.9999999585530578.2893886362348e-084.1446943181174e-08
1040.9999999333935721.3321285642873e-076.66064282143651e-08
1050.9999999005480861.98903828006647e-079.94519140033236e-08
1060.9999999085148161.82970368003028e-079.14851840015142e-08
1070.9999998869210962.26157807063364e-071.13078903531682e-07
1080.999999895423552.09152900300961e-071.0457645015048e-07
1090.9999998546675132.90664974154017e-071.45332487077008e-07
1100.9999998645253682.70949264833245e-071.35474632416622e-07
1110.9999997851845144.29630972872479e-072.1481548643624e-07
1120.9999998899548672.20090266665291e-071.10045133332646e-07
1130.9999998427442813.14511437242501e-071.57255718621251e-07
1140.9999997523829764.9523404749996e-072.4761702374998e-07
1150.9999996331985637.33602873115244e-073.66801436557622e-07
1160.9999995198194989.60361003056913e-074.80180501528456e-07
1170.9999994692039461.06159210702161e-065.30796053510805e-07
1180.9999992114523631.57709527372288e-067.88547636861438e-07
1190.9999987970578432.40588431416007e-061.20294215708003e-06
1200.9999989627752252.07444954940593e-061.03722477470296e-06
1210.9999987005279942.59894401290437e-061.29947200645218e-06
1220.999998190256283.61948743947622e-061.80974371973811e-06
1230.9999995296816979.40636605568649e-074.70318302784325e-07
1240.9999992711997131.45760057494413e-067.28800287472063e-07
1250.9999995987743448.02451311860686e-074.01225655930343e-07
1260.9999995388244829.22351036359001e-074.61175518179501e-07
1270.9999993594879131.28102417469305e-066.40512087346525e-07
1280.9999991962115951.60757680975082e-068.03788404875411e-07
1290.9999993255169831.34896603417368e-066.74483017086841e-07
1300.9999990316947121.93661057495541e-069.68305287477706e-07
1310.9999985403667362.91926652873997e-061.45963326436999e-06
1320.9999978059753794.38804924150196e-062.19402462075098e-06
1330.9999982892662893.42146742121028e-061.71073371060514e-06
1340.9999999018688971.96262205355384e-079.81311026776918e-08
1350.9999999031279191.93744161186029e-079.68720805930146e-08
1360.9999999224871441.55025711244915e-077.75128556224573e-08
1370.9999998857821652.28435670207244e-071.14217835103622e-07
1380.9999998540428612.91914278427876e-071.45957139213938e-07
1390.9999998056823123.8863537531936e-071.9431768765968e-07
1400.9999997092900215.81419957685066e-072.90709978842533e-07
1410.9999995504371538.99125693666552e-074.49562846833276e-07
1420.9999995256128469.4877430897214e-074.7438715448607e-07
1430.9999993046896191.39062076290974e-066.95310381454868e-07
1440.9999994327998641.13440027167367e-065.67200135836836e-07
1450.9999993177695561.36446088860034e-066.82230444300169e-07
1460.9999997875062554.24987489851061e-072.1249374492553e-07
1470.9999998482281573.03543685238843e-071.51771842619422e-07
1480.9999998063330583.87333883226935e-071.93666941613468e-07
1490.9999997176927285.64614544790392e-072.82307272395196e-07
1500.9999995893012558.21397489875519e-074.1069874493776e-07
1510.9999994040222521.19195549608077e-065.95977748040384e-07
1520.9999991341942271.7316115466482e-068.65805773324099e-07
1530.9999987301653992.53966920239965e-061.26983460119982e-06
1540.9999981764446493.6471107022451e-061.82355535112255e-06
1550.9999989294819022.14103619607571e-061.07051809803786e-06
1560.9999983859644183.22807116408933e-061.61403558204466e-06
1570.9999988643414392.27131712269011e-061.13565856134506e-06
1580.9999983347540073.33049198588898e-061.66524599294449e-06
1590.9999974783073715.04338525725808e-062.52169262862904e-06
1600.9999999453193741.09361252040382e-075.46806260201912e-08
1610.9999999608530037.82939935318991e-083.91469967659496e-08
1620.9999999753129194.93741629577578e-082.46870814788789e-08
1630.9999999651089346.97821324509771e-083.48910662254885e-08
1640.999999985068172.98636603132445e-081.49318301566222e-08
1650.9999999765631334.68737339490199e-082.34368669745099e-08
1660.9999999721268985.57462042990269e-082.78731021495135e-08
1670.99999995655918.68817998512883e-084.34408999256442e-08
1680.9999999553921418.92157179701351e-084.46078589850675e-08
1690.9999999712888785.74222446304103e-082.87111223152051e-08
1700.9999999776100244.47799515055713e-082.23899757527857e-08
1710.9999999820887393.58225227798326e-081.79112613899163e-08
1720.9999999741519145.16961724180151e-082.58480862090075e-08
1730.9999999660038736.79922531853782e-083.39961265926891e-08
1740.999999981858123.62837599155048e-081.81418799577524e-08
1750.9999999902196361.95607283670248e-089.78036418351239e-09
1760.9999999971347565.7304877183527e-092.86524385917635e-09
1770.999999997740594.51882026056679e-092.25941013028339e-09
1780.9999999960084757.98305046046202e-093.99152523023101e-09
1790.9999999987894782.42104463384816e-091.21052231692408e-09
1800.9999999980793693.84126275643739e-091.92063137821869e-09
1810.9999999967214666.55706819057575e-093.27853409528787e-09
1820.9999999954154449.16911217367906e-094.58455608683953e-09
1830.9999999928580921.42838168160574e-087.14190840802872e-09
1840.999999989074342.1851319463289e-081.09256597316445e-08
1850.9999999957858438.42831331658508e-094.21415665829254e-09
1860.9999999931003331.37993329165757e-086.89966645828786e-09
1870.999999988787512.24249796451716e-081.12124898225858e-08
1880.9999999821195833.57608345782816e-081.78804172891408e-08
1890.9999999904099821.91800369322795e-089.59001846613975e-09
1900.9999999927449731.45100548888113e-087.25502744440563e-09
1910.9999999921991631.56016731421838e-087.8008365710919e-09
1920.9999999870163312.59673383531883e-081.29836691765942e-08
1930.9999999848670863.0265828218469e-081.51329141092345e-08
1940.9999999936258371.27483264750655e-086.37416323753276e-09
1950.9999999885027032.29945945618081e-081.1497297280904e-08
1960.9999999799809174.003816518059e-082.0019082590295e-08
1970.9999999723775945.52448115962078e-082.76224057981039e-08
1980.9999999598060228.03879569613284e-084.01939784806642e-08
1990.9999999402332051.19533589824384e-075.97667949121921e-08
2000.9999999334184171.33163166540227e-076.65815832701136e-08
2010.9999999446484641.10703072558025e-075.53515362790126e-08
2020.9999999307887381.38422524393837e-076.92112621969183e-08
2030.9999998812338222.37532356195469e-071.18766178097735e-07
2040.9999998035963843.9280723117499e-071.96403615587495e-07
2050.9999999254001651.49199669313876e-077.45998346569379e-08
2060.9999998706314132.58737173105675e-071.29368586552838e-07
2070.9999997874508124.25098377007953e-072.12549188503976e-07
2080.9999996345104027.30979196815818e-073.65489598407909e-07
2090.9999994256827211.14863455797921e-065.74317278989607e-07
2100.9999992020261871.59594762521292e-067.97973812606459e-07
2110.9999987221083112.55578337897479e-061.2778916894874e-06
2120.9999978269734744.34605305197409e-062.17302652598704e-06
2130.9999963221355777.35572884515727e-063.67786442257863e-06
2140.9999963343084817.33138303713656e-063.66569151856828e-06
2150.999994799268061.04014638803676e-055.20073194018378e-06
2160.9999915830665851.6833866829611e-058.41693341480549e-06
2170.9999919198721431.61602557142707e-058.08012785713537e-06
2180.9999925318023651.49363952701019e-057.46819763505095e-06
2190.999992986193261.40276134789553e-057.01380673947763e-06
2200.9999899713362552.00573274905417e-051.00286637452708e-05
2210.9999843136399123.13727201761051e-051.56863600880525e-05
2220.9999822702791573.54594416867841e-051.77297208433921e-05
2230.999999708757415.82485179882741e-072.91242589941371e-07
2240.999999455653331.08869334065655e-065.44346670328276e-07
2250.9999992413489431.51730211394837e-067.58651056974183e-07
2260.9999990737739531.85245209382329e-069.26226046911647e-07
2270.9999983446575593.31068488209337e-061.65534244104668e-06
2280.9999981328444553.73431108910672e-061.86715554455336e-06
2290.9999984700591273.05988174555063e-061.52994087277531e-06
2300.9999998028535683.94292864072596e-071.97146432036298e-07
2310.9999996798248716.4035025797018e-073.2017512898509e-07
2320.9999997863407214.27318557332989e-072.13659278666495e-07
2330.9999999791420464.17159084421461e-082.08579542210731e-08
2340.9999999570658658.58682691310151e-084.29341345655076e-08
2350.9999999092262471.81547505976152e-079.07737529880759e-08
2360.9999998625714372.74857126457745e-071.37428563228872e-07
2370.9999997776074074.44785186693999e-072.22392593347e-07
2380.9999995416339019.16732198016133e-074.58366099008066e-07
2390.9999996632348996.73530201075699e-073.36765100537849e-07
2400.9999992920062381.4159875245631e-067.07993762281548e-07
2410.999998639578042.72084392088784e-061.36042196044392e-06
2420.999997797887534.40422494099158e-062.20211247049579e-06
2430.9999961038204967.79235900836646e-063.89617950418323e-06
2440.9999937552860231.24894279542512e-056.2447139771256e-06
2450.9999878847380382.4230523924277e-051.21152619621385e-05
2460.9999833742678163.32514643676283e-051.66257321838141e-05
2470.9999996964376746.07124652365654e-073.03562326182827e-07
2480.999999675236246.49527519450012e-073.24763759725006e-07
2490.9999992962845111.40743097721013e-067.03715488605063e-07
2500.9999986229237822.75415243617239e-061.3770762180862e-06
2510.9999974550671875.08986562541228e-062.54493281270614e-06
2520.999994187811341.16243773209244e-055.8121886604622e-06
2530.9999912333945211.75332109588119e-058.76660547940596e-06
2540.9999870217248372.59565503261098e-051.29782751630549e-05
2550.9999880798537362.38402925290678e-051.19201462645339e-05
2560.9999736947213435.26105573134573e-052.63052786567286e-05
2570.9999416162598740.000116767480252915.83837401264548e-05
2580.9998783996156960.0002432007686083720.000121600384304186
2590.9997852078767220.0004295842465560390.000214792123278019
2600.9995657558396750.000868488320650410.000434244160325205
2610.9991809949836460.001638010032708860.000819005016354429
2620.9984097414171320.003180517165736670.00159025858286833
2630.9971313722117450.005737255576509990.00286862778825499
2640.9943891157479630.01122176850407480.0056108842520374
2650.9892527288026330.02149454239473490.0107472711973674
2660.9815164974751510.03696700504969780.0184835025248489
2670.970077098921030.05984580215794090.0299229010789705
2680.9954880885225480.009023822954904850.00451191147745243
2690.9962472442058650.007505511588269490.00375275579413474
2700.9935185549658370.01296289006832590.00648144503416293
2710.9853970063244850.02920598735103010.0146029936755151
2720.9681698610116250.06366027797675070.0318301389883753
2730.9696401272829330.0607197454341330.0303598727170665
2740.9234922175714230.1530155648571540.0765077824285772
2750.8233646830136650.3532706339726690.176635316986335

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
14 & 0.372210790555136 & 0.744421581110272 & 0.627789209444864 \tabularnewline
15 & 0.371001348424244 & 0.742002696848489 & 0.628998651575756 \tabularnewline
16 & 0.238622616648879 & 0.477245233297758 & 0.761377383351121 \tabularnewline
17 & 0.434989556585413 & 0.869979113170827 & 0.565010443414587 \tabularnewline
18 & 0.342623113557104 & 0.685246227114208 & 0.657376886442896 \tabularnewline
19 & 0.535508352151099 & 0.928983295697801 & 0.464491647848901 \tabularnewline
20 & 0.474957129829343 & 0.949914259658686 & 0.525042870170657 \tabularnewline
21 & 0.436884234557992 & 0.873768469115983 & 0.563115765442008 \tabularnewline
22 & 0.375933206066518 & 0.751866412133036 & 0.624066793933482 \tabularnewline
23 & 0.333324663173872 & 0.666649326347744 & 0.666675336826128 \tabularnewline
24 & 0.263052036129186 & 0.526104072258372 & 0.736947963870814 \tabularnewline
25 & 0.200609234643412 & 0.401218469286825 & 0.799390765356588 \tabularnewline
26 & 0.20130743981484 & 0.402614879629679 & 0.79869256018516 \tabularnewline
27 & 0.163460976149338 & 0.326921952298675 & 0.836539023850662 \tabularnewline
28 & 0.139878029890496 & 0.279756059780991 & 0.860121970109504 \tabularnewline
29 & 0.318482489760088 & 0.636964979520175 & 0.681517510239912 \tabularnewline
30 & 0.274023854650715 & 0.548047709301431 & 0.725976145349285 \tabularnewline
31 & 0.220722210962699 & 0.441444421925399 & 0.779277789037301 \tabularnewline
32 & 0.237369565539385 & 0.47473913107877 & 0.762630434460615 \tabularnewline
33 & 0.330002536261151 & 0.660005072522302 & 0.669997463738849 \tabularnewline
34 & 0.469413650359861 & 0.938827300719722 & 0.530586349640139 \tabularnewline
35 & 0.410510116991241 & 0.821020233982481 & 0.589489883008759 \tabularnewline
36 & 0.352620613785937 & 0.705241227571874 & 0.647379386214063 \tabularnewline
37 & 0.307261496533894 & 0.614522993067789 & 0.692738503466106 \tabularnewline
38 & 0.323449461081936 & 0.646898922163872 & 0.676550538918064 \tabularnewline
39 & 0.277070512185423 & 0.554141024370845 & 0.722929487814577 \tabularnewline
40 & 0.234215851682204 & 0.468431703364409 & 0.765784148317796 \tabularnewline
41 & 0.193398212219176 & 0.386796424438351 & 0.806601787780824 \tabularnewline
42 & 0.160028033941443 & 0.320056067882887 & 0.839971966058557 \tabularnewline
43 & 0.201115705210591 & 0.402231410421181 & 0.798884294789409 \tabularnewline
44 & 0.233377758445004 & 0.466755516890008 & 0.766622241554996 \tabularnewline
45 & 0.302432836784462 & 0.604865673568925 & 0.697567163215538 \tabularnewline
46 & 0.26126725877681 & 0.52253451755362 & 0.73873274122319 \tabularnewline
47 & 0.453332143665837 & 0.906664287331675 & 0.546667856334163 \tabularnewline
48 & 0.41346448614964 & 0.82692897229928 & 0.58653551385036 \tabularnewline
49 & 0.391070522139264 & 0.782141044278529 & 0.608929477860736 \tabularnewline
50 & 0.421871856693415 & 0.84374371338683 & 0.578128143306585 \tabularnewline
51 & 0.796300236791932 & 0.407399526416137 & 0.203699763208069 \tabularnewline
52 & 0.763058569007234 & 0.473882861985533 & 0.236941430992766 \tabularnewline
53 & 0.753032443107039 & 0.493935113785923 & 0.246967556892961 \tabularnewline
54 & 0.87490250715192 & 0.250194985696161 & 0.12509749284808 \tabularnewline
55 & 0.898701853379031 & 0.202596293241938 & 0.101298146620969 \tabularnewline
56 & 0.880274526288089 & 0.239450947423821 & 0.119725473711911 \tabularnewline
57 & 0.856624611881382 & 0.286750776237237 & 0.143375388118618 \tabularnewline
58 & 0.99981798696125 & 0.000364026077500392 & 0.000182013038750196 \tabularnewline
59 & 0.99973118833225 & 0.000537623335499588 & 0.000268811667749794 \tabularnewline
60 & 0.999617541937002 & 0.000764916125996145 & 0.000382458062998073 \tabularnewline
61 & 0.99986690193921 & 0.000266196121580927 & 0.000133098060790464 \tabularnewline
62 & 0.999807014487055 & 0.000385971025889857 & 0.000192985512944928 \tabularnewline
63 & 0.999999708071819 & 5.83856362454586e-07 & 2.91928181227293e-07 \tabularnewline
64 & 0.999999512938636 & 9.74122728453037e-07 & 4.87061364226519e-07 \tabularnewline
65 & 0.999999963736415 & 7.25271693816697e-08 & 3.62635846908349e-08 \tabularnewline
66 & 0.999999980456108 & 3.90877847169972e-08 & 1.95438923584986e-08 \tabularnewline
67 & 0.999999983256977 & 3.34860454749909e-08 & 1.67430227374955e-08 \tabularnewline
68 & 0.999999972796724 & 5.44065509804289e-08 & 2.72032754902145e-08 \tabularnewline
69 & 0.999999965738668 & 6.85226631835256e-08 & 3.42613315917628e-08 \tabularnewline
70 & 0.999999979365701 & 4.12685983185533e-08 & 2.06342991592767e-08 \tabularnewline
71 & 0.999999972938002 & 5.41239953294191e-08 & 2.70619976647096e-08 \tabularnewline
72 & 0.999999968005981 & 6.39880375034877e-08 & 3.19940187517439e-08 \tabularnewline
73 & 0.999999956280334 & 8.7439332154598e-08 & 4.3719666077299e-08 \tabularnewline
74 & 0.999999943261858 & 1.13476283191697e-07 & 5.67381415958483e-08 \tabularnewline
75 & 0.999999932166303 & 1.3566739393519e-07 & 6.78336969675951e-08 \tabularnewline
76 & 0.999999896355519 & 2.07288962634975e-07 & 1.03644481317487e-07 \tabularnewline
77 & 0.999999947758358 & 1.04483284385513e-07 & 5.22416421927566e-08 \tabularnewline
78 & 0.999999941363862 & 1.17272275355143e-07 & 5.86361376775713e-08 \tabularnewline
79 & 0.999999913888401 & 1.72223198614459e-07 & 8.61115993072293e-08 \tabularnewline
80 & 0.999999871293819 & 2.57412362156732e-07 & 1.28706181078366e-07 \tabularnewline
81 & 0.999999794147422 & 4.1170515647617e-07 & 2.05852578238085e-07 \tabularnewline
82 & 0.999999669955112 & 6.60089775010154e-07 & 3.30044887505077e-07 \tabularnewline
83 & 0.999999949219027 & 1.01561946241859e-07 & 5.07809731209293e-08 \tabularnewline
84 & 0.999999954078455 & 9.18430906957247e-08 & 4.59215453478623e-08 \tabularnewline
85 & 0.999999981079986 & 3.78400275696795e-08 & 1.89200137848397e-08 \tabularnewline
86 & 0.999999969256354 & 6.14872913937912e-08 & 3.07436456968956e-08 \tabularnewline
87 & 0.999999949153044 & 1.01693912429877e-07 & 5.08469562149384e-08 \tabularnewline
88 & 0.99999993061324 & 1.38773519110317e-07 & 6.93867595551586e-08 \tabularnewline
89 & 0.999999887928849 & 2.24142301454118e-07 & 1.12071150727059e-07 \tabularnewline
90 & 0.999999856240353 & 2.87519293728556e-07 & 1.43759646864278e-07 \tabularnewline
91 & 0.999999903126831 & 1.93746338595534e-07 & 9.68731692977669e-08 \tabularnewline
92 & 0.99999984653539 & 3.06929220803724e-07 & 1.53464610401862e-07 \tabularnewline
93 & 0.999999909892125 & 1.80215749142544e-07 & 9.0107874571272e-08 \tabularnewline
94 & 0.999999898647873 & 2.02704253886036e-07 & 1.01352126943018e-07 \tabularnewline
95 & 0.999999883616265 & 2.32767469873526e-07 & 1.16383734936763e-07 \tabularnewline
96 & 0.999999857769272 & 2.84461456390866e-07 & 1.42230728195433e-07 \tabularnewline
97 & 0.999999822643823 & 3.54712354135966e-07 & 1.77356177067983e-07 \tabularnewline
98 & 0.999999990850541 & 1.82989171155875e-08 & 9.14945855779374e-09 \tabularnewline
99 & 0.999999985436689 & 2.91266210459714e-08 & 1.45633105229857e-08 \tabularnewline
100 & 0.999999978868439 & 4.22631217395331e-08 & 2.11315608697665e-08 \tabularnewline
101 & 0.999999968614255 & 6.27714908219044e-08 & 3.13857454109522e-08 \tabularnewline
102 & 0.999999974058742 & 5.18825150700594e-08 & 2.59412575350297e-08 \tabularnewline
103 & 0.999999958553057 & 8.2893886362348e-08 & 4.1446943181174e-08 \tabularnewline
104 & 0.999999933393572 & 1.3321285642873e-07 & 6.66064282143651e-08 \tabularnewline
105 & 0.999999900548086 & 1.98903828006647e-07 & 9.94519140033236e-08 \tabularnewline
106 & 0.999999908514816 & 1.82970368003028e-07 & 9.14851840015142e-08 \tabularnewline
107 & 0.999999886921096 & 2.26157807063364e-07 & 1.13078903531682e-07 \tabularnewline
108 & 0.99999989542355 & 2.09152900300961e-07 & 1.0457645015048e-07 \tabularnewline
109 & 0.999999854667513 & 2.90664974154017e-07 & 1.45332487077008e-07 \tabularnewline
110 & 0.999999864525368 & 2.70949264833245e-07 & 1.35474632416622e-07 \tabularnewline
111 & 0.999999785184514 & 4.29630972872479e-07 & 2.1481548643624e-07 \tabularnewline
112 & 0.999999889954867 & 2.20090266665291e-07 & 1.10045133332646e-07 \tabularnewline
113 & 0.999999842744281 & 3.14511437242501e-07 & 1.57255718621251e-07 \tabularnewline
114 & 0.999999752382976 & 4.9523404749996e-07 & 2.4761702374998e-07 \tabularnewline
115 & 0.999999633198563 & 7.33602873115244e-07 & 3.66801436557622e-07 \tabularnewline
116 & 0.999999519819498 & 9.60361003056913e-07 & 4.80180501528456e-07 \tabularnewline
117 & 0.999999469203946 & 1.06159210702161e-06 & 5.30796053510805e-07 \tabularnewline
118 & 0.999999211452363 & 1.57709527372288e-06 & 7.88547636861438e-07 \tabularnewline
119 & 0.999998797057843 & 2.40588431416007e-06 & 1.20294215708003e-06 \tabularnewline
120 & 0.999998962775225 & 2.07444954940593e-06 & 1.03722477470296e-06 \tabularnewline
121 & 0.999998700527994 & 2.59894401290437e-06 & 1.29947200645218e-06 \tabularnewline
122 & 0.99999819025628 & 3.61948743947622e-06 & 1.80974371973811e-06 \tabularnewline
123 & 0.999999529681697 & 9.40636605568649e-07 & 4.70318302784325e-07 \tabularnewline
124 & 0.999999271199713 & 1.45760057494413e-06 & 7.28800287472063e-07 \tabularnewline
125 & 0.999999598774344 & 8.02451311860686e-07 & 4.01225655930343e-07 \tabularnewline
126 & 0.999999538824482 & 9.22351036359001e-07 & 4.61175518179501e-07 \tabularnewline
127 & 0.999999359487913 & 1.28102417469305e-06 & 6.40512087346525e-07 \tabularnewline
128 & 0.999999196211595 & 1.60757680975082e-06 & 8.03788404875411e-07 \tabularnewline
129 & 0.999999325516983 & 1.34896603417368e-06 & 6.74483017086841e-07 \tabularnewline
130 & 0.999999031694712 & 1.93661057495541e-06 & 9.68305287477706e-07 \tabularnewline
131 & 0.999998540366736 & 2.91926652873997e-06 & 1.45963326436999e-06 \tabularnewline
132 & 0.999997805975379 & 4.38804924150196e-06 & 2.19402462075098e-06 \tabularnewline
133 & 0.999998289266289 & 3.42146742121028e-06 & 1.71073371060514e-06 \tabularnewline
134 & 0.999999901868897 & 1.96262205355384e-07 & 9.81311026776918e-08 \tabularnewline
135 & 0.999999903127919 & 1.93744161186029e-07 & 9.68720805930146e-08 \tabularnewline
136 & 0.999999922487144 & 1.55025711244915e-07 & 7.75128556224573e-08 \tabularnewline
137 & 0.999999885782165 & 2.28435670207244e-07 & 1.14217835103622e-07 \tabularnewline
138 & 0.999999854042861 & 2.91914278427876e-07 & 1.45957139213938e-07 \tabularnewline
139 & 0.999999805682312 & 3.8863537531936e-07 & 1.9431768765968e-07 \tabularnewline
140 & 0.999999709290021 & 5.81419957685066e-07 & 2.90709978842533e-07 \tabularnewline
141 & 0.999999550437153 & 8.99125693666552e-07 & 4.49562846833276e-07 \tabularnewline
142 & 0.999999525612846 & 9.4877430897214e-07 & 4.7438715448607e-07 \tabularnewline
143 & 0.999999304689619 & 1.39062076290974e-06 & 6.95310381454868e-07 \tabularnewline
144 & 0.999999432799864 & 1.13440027167367e-06 & 5.67200135836836e-07 \tabularnewline
145 & 0.999999317769556 & 1.36446088860034e-06 & 6.82230444300169e-07 \tabularnewline
146 & 0.999999787506255 & 4.24987489851061e-07 & 2.1249374492553e-07 \tabularnewline
147 & 0.999999848228157 & 3.03543685238843e-07 & 1.51771842619422e-07 \tabularnewline
148 & 0.999999806333058 & 3.87333883226935e-07 & 1.93666941613468e-07 \tabularnewline
149 & 0.999999717692728 & 5.64614544790392e-07 & 2.82307272395196e-07 \tabularnewline
150 & 0.999999589301255 & 8.21397489875519e-07 & 4.1069874493776e-07 \tabularnewline
151 & 0.999999404022252 & 1.19195549608077e-06 & 5.95977748040384e-07 \tabularnewline
152 & 0.999999134194227 & 1.7316115466482e-06 & 8.65805773324099e-07 \tabularnewline
153 & 0.999998730165399 & 2.53966920239965e-06 & 1.26983460119982e-06 \tabularnewline
154 & 0.999998176444649 & 3.6471107022451e-06 & 1.82355535112255e-06 \tabularnewline
155 & 0.999998929481902 & 2.14103619607571e-06 & 1.07051809803786e-06 \tabularnewline
156 & 0.999998385964418 & 3.22807116408933e-06 & 1.61403558204466e-06 \tabularnewline
157 & 0.999998864341439 & 2.27131712269011e-06 & 1.13565856134506e-06 \tabularnewline
158 & 0.999998334754007 & 3.33049198588898e-06 & 1.66524599294449e-06 \tabularnewline
159 & 0.999997478307371 & 5.04338525725808e-06 & 2.52169262862904e-06 \tabularnewline
160 & 0.999999945319374 & 1.09361252040382e-07 & 5.46806260201912e-08 \tabularnewline
161 & 0.999999960853003 & 7.82939935318991e-08 & 3.91469967659496e-08 \tabularnewline
162 & 0.999999975312919 & 4.93741629577578e-08 & 2.46870814788789e-08 \tabularnewline
163 & 0.999999965108934 & 6.97821324509771e-08 & 3.48910662254885e-08 \tabularnewline
164 & 0.99999998506817 & 2.98636603132445e-08 & 1.49318301566222e-08 \tabularnewline
165 & 0.999999976563133 & 4.68737339490199e-08 & 2.34368669745099e-08 \tabularnewline
166 & 0.999999972126898 & 5.57462042990269e-08 & 2.78731021495135e-08 \tabularnewline
167 & 0.9999999565591 & 8.68817998512883e-08 & 4.34408999256442e-08 \tabularnewline
168 & 0.999999955392141 & 8.92157179701351e-08 & 4.46078589850675e-08 \tabularnewline
169 & 0.999999971288878 & 5.74222446304103e-08 & 2.87111223152051e-08 \tabularnewline
170 & 0.999999977610024 & 4.47799515055713e-08 & 2.23899757527857e-08 \tabularnewline
171 & 0.999999982088739 & 3.58225227798326e-08 & 1.79112613899163e-08 \tabularnewline
172 & 0.999999974151914 & 5.16961724180151e-08 & 2.58480862090075e-08 \tabularnewline
173 & 0.999999966003873 & 6.79922531853782e-08 & 3.39961265926891e-08 \tabularnewline
174 & 0.99999998185812 & 3.62837599155048e-08 & 1.81418799577524e-08 \tabularnewline
175 & 0.999999990219636 & 1.95607283670248e-08 & 9.78036418351239e-09 \tabularnewline
176 & 0.999999997134756 & 5.7304877183527e-09 & 2.86524385917635e-09 \tabularnewline
177 & 0.99999999774059 & 4.51882026056679e-09 & 2.25941013028339e-09 \tabularnewline
178 & 0.999999996008475 & 7.98305046046202e-09 & 3.99152523023101e-09 \tabularnewline
179 & 0.999999998789478 & 2.42104463384816e-09 & 1.21052231692408e-09 \tabularnewline
180 & 0.999999998079369 & 3.84126275643739e-09 & 1.92063137821869e-09 \tabularnewline
181 & 0.999999996721466 & 6.55706819057575e-09 & 3.27853409528787e-09 \tabularnewline
182 & 0.999999995415444 & 9.16911217367906e-09 & 4.58455608683953e-09 \tabularnewline
183 & 0.999999992858092 & 1.42838168160574e-08 & 7.14190840802872e-09 \tabularnewline
184 & 0.99999998907434 & 2.1851319463289e-08 & 1.09256597316445e-08 \tabularnewline
185 & 0.999999995785843 & 8.42831331658508e-09 & 4.21415665829254e-09 \tabularnewline
186 & 0.999999993100333 & 1.37993329165757e-08 & 6.89966645828786e-09 \tabularnewline
187 & 0.99999998878751 & 2.24249796451716e-08 & 1.12124898225858e-08 \tabularnewline
188 & 0.999999982119583 & 3.57608345782816e-08 & 1.78804172891408e-08 \tabularnewline
189 & 0.999999990409982 & 1.91800369322795e-08 & 9.59001846613975e-09 \tabularnewline
190 & 0.999999992744973 & 1.45100548888113e-08 & 7.25502744440563e-09 \tabularnewline
191 & 0.999999992199163 & 1.56016731421838e-08 & 7.8008365710919e-09 \tabularnewline
192 & 0.999999987016331 & 2.59673383531883e-08 & 1.29836691765942e-08 \tabularnewline
193 & 0.999999984867086 & 3.0265828218469e-08 & 1.51329141092345e-08 \tabularnewline
194 & 0.999999993625837 & 1.27483264750655e-08 & 6.37416323753276e-09 \tabularnewline
195 & 0.999999988502703 & 2.29945945618081e-08 & 1.1497297280904e-08 \tabularnewline
196 & 0.999999979980917 & 4.003816518059e-08 & 2.0019082590295e-08 \tabularnewline
197 & 0.999999972377594 & 5.52448115962078e-08 & 2.76224057981039e-08 \tabularnewline
198 & 0.999999959806022 & 8.03879569613284e-08 & 4.01939784806642e-08 \tabularnewline
199 & 0.999999940233205 & 1.19533589824384e-07 & 5.97667949121921e-08 \tabularnewline
200 & 0.999999933418417 & 1.33163166540227e-07 & 6.65815832701136e-08 \tabularnewline
201 & 0.999999944648464 & 1.10703072558025e-07 & 5.53515362790126e-08 \tabularnewline
202 & 0.999999930788738 & 1.38422524393837e-07 & 6.92112621969183e-08 \tabularnewline
203 & 0.999999881233822 & 2.37532356195469e-07 & 1.18766178097735e-07 \tabularnewline
204 & 0.999999803596384 & 3.9280723117499e-07 & 1.96403615587495e-07 \tabularnewline
205 & 0.999999925400165 & 1.49199669313876e-07 & 7.45998346569379e-08 \tabularnewline
206 & 0.999999870631413 & 2.58737173105675e-07 & 1.29368586552838e-07 \tabularnewline
207 & 0.999999787450812 & 4.25098377007953e-07 & 2.12549188503976e-07 \tabularnewline
208 & 0.999999634510402 & 7.30979196815818e-07 & 3.65489598407909e-07 \tabularnewline
209 & 0.999999425682721 & 1.14863455797921e-06 & 5.74317278989607e-07 \tabularnewline
210 & 0.999999202026187 & 1.59594762521292e-06 & 7.97973812606459e-07 \tabularnewline
211 & 0.999998722108311 & 2.55578337897479e-06 & 1.2778916894874e-06 \tabularnewline
212 & 0.999997826973474 & 4.34605305197409e-06 & 2.17302652598704e-06 \tabularnewline
213 & 0.999996322135577 & 7.35572884515727e-06 & 3.67786442257863e-06 \tabularnewline
214 & 0.999996334308481 & 7.33138303713656e-06 & 3.66569151856828e-06 \tabularnewline
215 & 0.99999479926806 & 1.04014638803676e-05 & 5.20073194018378e-06 \tabularnewline
216 & 0.999991583066585 & 1.6833866829611e-05 & 8.41693341480549e-06 \tabularnewline
217 & 0.999991919872143 & 1.61602557142707e-05 & 8.08012785713537e-06 \tabularnewline
218 & 0.999992531802365 & 1.49363952701019e-05 & 7.46819763505095e-06 \tabularnewline
219 & 0.99999298619326 & 1.40276134789553e-05 & 7.01380673947763e-06 \tabularnewline
220 & 0.999989971336255 & 2.00573274905417e-05 & 1.00286637452708e-05 \tabularnewline
221 & 0.999984313639912 & 3.13727201761051e-05 & 1.56863600880525e-05 \tabularnewline
222 & 0.999982270279157 & 3.54594416867841e-05 & 1.77297208433921e-05 \tabularnewline
223 & 0.99999970875741 & 5.82485179882741e-07 & 2.91242589941371e-07 \tabularnewline
224 & 0.99999945565333 & 1.08869334065655e-06 & 5.44346670328276e-07 \tabularnewline
225 & 0.999999241348943 & 1.51730211394837e-06 & 7.58651056974183e-07 \tabularnewline
226 & 0.999999073773953 & 1.85245209382329e-06 & 9.26226046911647e-07 \tabularnewline
227 & 0.999998344657559 & 3.31068488209337e-06 & 1.65534244104668e-06 \tabularnewline
228 & 0.999998132844455 & 3.73431108910672e-06 & 1.86715554455336e-06 \tabularnewline
229 & 0.999998470059127 & 3.05988174555063e-06 & 1.52994087277531e-06 \tabularnewline
230 & 0.999999802853568 & 3.94292864072596e-07 & 1.97146432036298e-07 \tabularnewline
231 & 0.999999679824871 & 6.4035025797018e-07 & 3.2017512898509e-07 \tabularnewline
232 & 0.999999786340721 & 4.27318557332989e-07 & 2.13659278666495e-07 \tabularnewline
233 & 0.999999979142046 & 4.17159084421461e-08 & 2.08579542210731e-08 \tabularnewline
234 & 0.999999957065865 & 8.58682691310151e-08 & 4.29341345655076e-08 \tabularnewline
235 & 0.999999909226247 & 1.81547505976152e-07 & 9.07737529880759e-08 \tabularnewline
236 & 0.999999862571437 & 2.74857126457745e-07 & 1.37428563228872e-07 \tabularnewline
237 & 0.999999777607407 & 4.44785186693999e-07 & 2.22392593347e-07 \tabularnewline
238 & 0.999999541633901 & 9.16732198016133e-07 & 4.58366099008066e-07 \tabularnewline
239 & 0.999999663234899 & 6.73530201075699e-07 & 3.36765100537849e-07 \tabularnewline
240 & 0.999999292006238 & 1.4159875245631e-06 & 7.07993762281548e-07 \tabularnewline
241 & 0.99999863957804 & 2.72084392088784e-06 & 1.36042196044392e-06 \tabularnewline
242 & 0.99999779788753 & 4.40422494099158e-06 & 2.20211247049579e-06 \tabularnewline
243 & 0.999996103820496 & 7.79235900836646e-06 & 3.89617950418323e-06 \tabularnewline
244 & 0.999993755286023 & 1.24894279542512e-05 & 6.2447139771256e-06 \tabularnewline
245 & 0.999987884738038 & 2.4230523924277e-05 & 1.21152619621385e-05 \tabularnewline
246 & 0.999983374267816 & 3.32514643676283e-05 & 1.66257321838141e-05 \tabularnewline
247 & 0.999999696437674 & 6.07124652365654e-07 & 3.03562326182827e-07 \tabularnewline
248 & 0.99999967523624 & 6.49527519450012e-07 & 3.24763759725006e-07 \tabularnewline
249 & 0.999999296284511 & 1.40743097721013e-06 & 7.03715488605063e-07 \tabularnewline
250 & 0.999998622923782 & 2.75415243617239e-06 & 1.3770762180862e-06 \tabularnewline
251 & 0.999997455067187 & 5.08986562541228e-06 & 2.54493281270614e-06 \tabularnewline
252 & 0.99999418781134 & 1.16243773209244e-05 & 5.8121886604622e-06 \tabularnewline
253 & 0.999991233394521 & 1.75332109588119e-05 & 8.76660547940596e-06 \tabularnewline
254 & 0.999987021724837 & 2.59565503261098e-05 & 1.29782751630549e-05 \tabularnewline
255 & 0.999988079853736 & 2.38402925290678e-05 & 1.19201462645339e-05 \tabularnewline
256 & 0.999973694721343 & 5.26105573134573e-05 & 2.63052786567286e-05 \tabularnewline
257 & 0.999941616259874 & 0.00011676748025291 & 5.83837401264548e-05 \tabularnewline
258 & 0.999878399615696 & 0.000243200768608372 & 0.000121600384304186 \tabularnewline
259 & 0.999785207876722 & 0.000429584246556039 & 0.000214792123278019 \tabularnewline
260 & 0.999565755839675 & 0.00086848832065041 & 0.000434244160325205 \tabularnewline
261 & 0.999180994983646 & 0.00163801003270886 & 0.000819005016354429 \tabularnewline
262 & 0.998409741417132 & 0.00318051716573667 & 0.00159025858286833 \tabularnewline
263 & 0.997131372211745 & 0.00573725557650999 & 0.00286862778825499 \tabularnewline
264 & 0.994389115747963 & 0.0112217685040748 & 0.0056108842520374 \tabularnewline
265 & 0.989252728802633 & 0.0214945423947349 & 0.0107472711973674 \tabularnewline
266 & 0.981516497475151 & 0.0369670050496978 & 0.0184835025248489 \tabularnewline
267 & 0.97007709892103 & 0.0598458021579409 & 0.0299229010789705 \tabularnewline
268 & 0.995488088522548 & 0.00902382295490485 & 0.00451191147745243 \tabularnewline
269 & 0.996247244205865 & 0.00750551158826949 & 0.00375275579413474 \tabularnewline
270 & 0.993518554965837 & 0.0129628900683259 & 0.00648144503416293 \tabularnewline
271 & 0.985397006324485 & 0.0292059873510301 & 0.0146029936755151 \tabularnewline
272 & 0.968169861011625 & 0.0636602779767507 & 0.0318301389883753 \tabularnewline
273 & 0.969640127282933 & 0.060719745434133 & 0.0303598727170665 \tabularnewline
274 & 0.923492217571423 & 0.153015564857154 & 0.0765077824285772 \tabularnewline
275 & 0.823364683013665 & 0.353270633972669 & 0.176635316986335 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197032&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]14[/C][C]0.372210790555136[/C][C]0.744421581110272[/C][C]0.627789209444864[/C][/ROW]
[ROW][C]15[/C][C]0.371001348424244[/C][C]0.742002696848489[/C][C]0.628998651575756[/C][/ROW]
[ROW][C]16[/C][C]0.238622616648879[/C][C]0.477245233297758[/C][C]0.761377383351121[/C][/ROW]
[ROW][C]17[/C][C]0.434989556585413[/C][C]0.869979113170827[/C][C]0.565010443414587[/C][/ROW]
[ROW][C]18[/C][C]0.342623113557104[/C][C]0.685246227114208[/C][C]0.657376886442896[/C][/ROW]
[ROW][C]19[/C][C]0.535508352151099[/C][C]0.928983295697801[/C][C]0.464491647848901[/C][/ROW]
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[ROW][C]64[/C][C]0.999999512938636[/C][C]9.74122728453037e-07[/C][C]4.87061364226519e-07[/C][/ROW]
[ROW][C]65[/C][C]0.999999963736415[/C][C]7.25271693816697e-08[/C][C]3.62635846908349e-08[/C][/ROW]
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[ROW][C]67[/C][C]0.999999983256977[/C][C]3.34860454749909e-08[/C][C]1.67430227374955e-08[/C][/ROW]
[ROW][C]68[/C][C]0.999999972796724[/C][C]5.44065509804289e-08[/C][C]2.72032754902145e-08[/C][/ROW]
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[ROW][C]76[/C][C]0.999999896355519[/C][C]2.07288962634975e-07[/C][C]1.03644481317487e-07[/C][/ROW]
[ROW][C]77[/C][C]0.999999947758358[/C][C]1.04483284385513e-07[/C][C]5.22416421927566e-08[/C][/ROW]
[ROW][C]78[/C][C]0.999999941363862[/C][C]1.17272275355143e-07[/C][C]5.86361376775713e-08[/C][/ROW]
[ROW][C]79[/C][C]0.999999913888401[/C][C]1.72223198614459e-07[/C][C]8.61115993072293e-08[/C][/ROW]
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[ROW][C]81[/C][C]0.999999794147422[/C][C]4.1170515647617e-07[/C][C]2.05852578238085e-07[/C][/ROW]
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[ROW][C]84[/C][C]0.999999954078455[/C][C]9.18430906957247e-08[/C][C]4.59215453478623e-08[/C][/ROW]
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[ROW][C]86[/C][C]0.999999969256354[/C][C]6.14872913937912e-08[/C][C]3.07436456968956e-08[/C][/ROW]
[ROW][C]87[/C][C]0.999999949153044[/C][C]1.01693912429877e-07[/C][C]5.08469562149384e-08[/C][/ROW]
[ROW][C]88[/C][C]0.99999993061324[/C][C]1.38773519110317e-07[/C][C]6.93867595551586e-08[/C][/ROW]
[ROW][C]89[/C][C]0.999999887928849[/C][C]2.24142301454118e-07[/C][C]1.12071150727059e-07[/C][/ROW]
[ROW][C]90[/C][C]0.999999856240353[/C][C]2.87519293728556e-07[/C][C]1.43759646864278e-07[/C][/ROW]
[ROW][C]91[/C][C]0.999999903126831[/C][C]1.93746338595534e-07[/C][C]9.68731692977669e-08[/C][/ROW]
[ROW][C]92[/C][C]0.99999984653539[/C][C]3.06929220803724e-07[/C][C]1.53464610401862e-07[/C][/ROW]
[ROW][C]93[/C][C]0.999999909892125[/C][C]1.80215749142544e-07[/C][C]9.0107874571272e-08[/C][/ROW]
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[ROW][C]95[/C][C]0.999999883616265[/C][C]2.32767469873526e-07[/C][C]1.16383734936763e-07[/C][/ROW]
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[ROW][C]97[/C][C]0.999999822643823[/C][C]3.54712354135966e-07[/C][C]1.77356177067983e-07[/C][/ROW]
[ROW][C]98[/C][C]0.999999990850541[/C][C]1.82989171155875e-08[/C][C]9.14945855779374e-09[/C][/ROW]
[ROW][C]99[/C][C]0.999999985436689[/C][C]2.91266210459714e-08[/C][C]1.45633105229857e-08[/C][/ROW]
[ROW][C]100[/C][C]0.999999978868439[/C][C]4.22631217395331e-08[/C][C]2.11315608697665e-08[/C][/ROW]
[ROW][C]101[/C][C]0.999999968614255[/C][C]6.27714908219044e-08[/C][C]3.13857454109522e-08[/C][/ROW]
[ROW][C]102[/C][C]0.999999974058742[/C][C]5.18825150700594e-08[/C][C]2.59412575350297e-08[/C][/ROW]
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[ROW][C]110[/C][C]0.999999864525368[/C][C]2.70949264833245e-07[/C][C]1.35474632416622e-07[/C][/ROW]
[ROW][C]111[/C][C]0.999999785184514[/C][C]4.29630972872479e-07[/C][C]2.1481548643624e-07[/C][/ROW]
[ROW][C]112[/C][C]0.999999889954867[/C][C]2.20090266665291e-07[/C][C]1.10045133332646e-07[/C][/ROW]
[ROW][C]113[/C][C]0.999999842744281[/C][C]3.14511437242501e-07[/C][C]1.57255718621251e-07[/C][/ROW]
[ROW][C]114[/C][C]0.999999752382976[/C][C]4.9523404749996e-07[/C][C]2.4761702374998e-07[/C][/ROW]
[ROW][C]115[/C][C]0.999999633198563[/C][C]7.33602873115244e-07[/C][C]3.66801436557622e-07[/C][/ROW]
[ROW][C]116[/C][C]0.999999519819498[/C][C]9.60361003056913e-07[/C][C]4.80180501528456e-07[/C][/ROW]
[ROW][C]117[/C][C]0.999999469203946[/C][C]1.06159210702161e-06[/C][C]5.30796053510805e-07[/C][/ROW]
[ROW][C]118[/C][C]0.999999211452363[/C][C]1.57709527372288e-06[/C][C]7.88547636861438e-07[/C][/ROW]
[ROW][C]119[/C][C]0.999998797057843[/C][C]2.40588431416007e-06[/C][C]1.20294215708003e-06[/C][/ROW]
[ROW][C]120[/C][C]0.999998962775225[/C][C]2.07444954940593e-06[/C][C]1.03722477470296e-06[/C][/ROW]
[ROW][C]121[/C][C]0.999998700527994[/C][C]2.59894401290437e-06[/C][C]1.29947200645218e-06[/C][/ROW]
[ROW][C]122[/C][C]0.99999819025628[/C][C]3.61948743947622e-06[/C][C]1.80974371973811e-06[/C][/ROW]
[ROW][C]123[/C][C]0.999999529681697[/C][C]9.40636605568649e-07[/C][C]4.70318302784325e-07[/C][/ROW]
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[ROW][C]125[/C][C]0.999999598774344[/C][C]8.02451311860686e-07[/C][C]4.01225655930343e-07[/C][/ROW]
[ROW][C]126[/C][C]0.999999538824482[/C][C]9.22351036359001e-07[/C][C]4.61175518179501e-07[/C][/ROW]
[ROW][C]127[/C][C]0.999999359487913[/C][C]1.28102417469305e-06[/C][C]6.40512087346525e-07[/C][/ROW]
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[ROW][C]129[/C][C]0.999999325516983[/C][C]1.34896603417368e-06[/C][C]6.74483017086841e-07[/C][/ROW]
[ROW][C]130[/C][C]0.999999031694712[/C][C]1.93661057495541e-06[/C][C]9.68305287477706e-07[/C][/ROW]
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[ROW][C]150[/C][C]0.999999589301255[/C][C]8.21397489875519e-07[/C][C]4.1069874493776e-07[/C][/ROW]
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[ROW][C]153[/C][C]0.999998730165399[/C][C]2.53966920239965e-06[/C][C]1.26983460119982e-06[/C][/ROW]
[ROW][C]154[/C][C]0.999998176444649[/C][C]3.6471107022451e-06[/C][C]1.82355535112255e-06[/C][/ROW]
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[ROW][C]156[/C][C]0.999998385964418[/C][C]3.22807116408933e-06[/C][C]1.61403558204466e-06[/C][/ROW]
[ROW][C]157[/C][C]0.999998864341439[/C][C]2.27131712269011e-06[/C][C]1.13565856134506e-06[/C][/ROW]
[ROW][C]158[/C][C]0.999998334754007[/C][C]3.33049198588898e-06[/C][C]1.66524599294449e-06[/C][/ROW]
[ROW][C]159[/C][C]0.999997478307371[/C][C]5.04338525725808e-06[/C][C]2.52169262862904e-06[/C][/ROW]
[ROW][C]160[/C][C]0.999999945319374[/C][C]1.09361252040382e-07[/C][C]5.46806260201912e-08[/C][/ROW]
[ROW][C]161[/C][C]0.999999960853003[/C][C]7.82939935318991e-08[/C][C]3.91469967659496e-08[/C][/ROW]
[ROW][C]162[/C][C]0.999999975312919[/C][C]4.93741629577578e-08[/C][C]2.46870814788789e-08[/C][/ROW]
[ROW][C]163[/C][C]0.999999965108934[/C][C]6.97821324509771e-08[/C][C]3.48910662254885e-08[/C][/ROW]
[ROW][C]164[/C][C]0.99999998506817[/C][C]2.98636603132445e-08[/C][C]1.49318301566222e-08[/C][/ROW]
[ROW][C]165[/C][C]0.999999976563133[/C][C]4.68737339490199e-08[/C][C]2.34368669745099e-08[/C][/ROW]
[ROW][C]166[/C][C]0.999999972126898[/C][C]5.57462042990269e-08[/C][C]2.78731021495135e-08[/C][/ROW]
[ROW][C]167[/C][C]0.9999999565591[/C][C]8.68817998512883e-08[/C][C]4.34408999256442e-08[/C][/ROW]
[ROW][C]168[/C][C]0.999999955392141[/C][C]8.92157179701351e-08[/C][C]4.46078589850675e-08[/C][/ROW]
[ROW][C]169[/C][C]0.999999971288878[/C][C]5.74222446304103e-08[/C][C]2.87111223152051e-08[/C][/ROW]
[ROW][C]170[/C][C]0.999999977610024[/C][C]4.47799515055713e-08[/C][C]2.23899757527857e-08[/C][/ROW]
[ROW][C]171[/C][C]0.999999982088739[/C][C]3.58225227798326e-08[/C][C]1.79112613899163e-08[/C][/ROW]
[ROW][C]172[/C][C]0.999999974151914[/C][C]5.16961724180151e-08[/C][C]2.58480862090075e-08[/C][/ROW]
[ROW][C]173[/C][C]0.999999966003873[/C][C]6.79922531853782e-08[/C][C]3.39961265926891e-08[/C][/ROW]
[ROW][C]174[/C][C]0.99999998185812[/C][C]3.62837599155048e-08[/C][C]1.81418799577524e-08[/C][/ROW]
[ROW][C]175[/C][C]0.999999990219636[/C][C]1.95607283670248e-08[/C][C]9.78036418351239e-09[/C][/ROW]
[ROW][C]176[/C][C]0.999999997134756[/C][C]5.7304877183527e-09[/C][C]2.86524385917635e-09[/C][/ROW]
[ROW][C]177[/C][C]0.99999999774059[/C][C]4.51882026056679e-09[/C][C]2.25941013028339e-09[/C][/ROW]
[ROW][C]178[/C][C]0.999999996008475[/C][C]7.98305046046202e-09[/C][C]3.99152523023101e-09[/C][/ROW]
[ROW][C]179[/C][C]0.999999998789478[/C][C]2.42104463384816e-09[/C][C]1.21052231692408e-09[/C][/ROW]
[ROW][C]180[/C][C]0.999999998079369[/C][C]3.84126275643739e-09[/C][C]1.92063137821869e-09[/C][/ROW]
[ROW][C]181[/C][C]0.999999996721466[/C][C]6.55706819057575e-09[/C][C]3.27853409528787e-09[/C][/ROW]
[ROW][C]182[/C][C]0.999999995415444[/C][C]9.16911217367906e-09[/C][C]4.58455608683953e-09[/C][/ROW]
[ROW][C]183[/C][C]0.999999992858092[/C][C]1.42838168160574e-08[/C][C]7.14190840802872e-09[/C][/ROW]
[ROW][C]184[/C][C]0.99999998907434[/C][C]2.1851319463289e-08[/C][C]1.09256597316445e-08[/C][/ROW]
[ROW][C]185[/C][C]0.999999995785843[/C][C]8.42831331658508e-09[/C][C]4.21415665829254e-09[/C][/ROW]
[ROW][C]186[/C][C]0.999999993100333[/C][C]1.37993329165757e-08[/C][C]6.89966645828786e-09[/C][/ROW]
[ROW][C]187[/C][C]0.99999998878751[/C][C]2.24249796451716e-08[/C][C]1.12124898225858e-08[/C][/ROW]
[ROW][C]188[/C][C]0.999999982119583[/C][C]3.57608345782816e-08[/C][C]1.78804172891408e-08[/C][/ROW]
[ROW][C]189[/C][C]0.999999990409982[/C][C]1.91800369322795e-08[/C][C]9.59001846613975e-09[/C][/ROW]
[ROW][C]190[/C][C]0.999999992744973[/C][C]1.45100548888113e-08[/C][C]7.25502744440563e-09[/C][/ROW]
[ROW][C]191[/C][C]0.999999992199163[/C][C]1.56016731421838e-08[/C][C]7.8008365710919e-09[/C][/ROW]
[ROW][C]192[/C][C]0.999999987016331[/C][C]2.59673383531883e-08[/C][C]1.29836691765942e-08[/C][/ROW]
[ROW][C]193[/C][C]0.999999984867086[/C][C]3.0265828218469e-08[/C][C]1.51329141092345e-08[/C][/ROW]
[ROW][C]194[/C][C]0.999999993625837[/C][C]1.27483264750655e-08[/C][C]6.37416323753276e-09[/C][/ROW]
[ROW][C]195[/C][C]0.999999988502703[/C][C]2.29945945618081e-08[/C][C]1.1497297280904e-08[/C][/ROW]
[ROW][C]196[/C][C]0.999999979980917[/C][C]4.003816518059e-08[/C][C]2.0019082590295e-08[/C][/ROW]
[ROW][C]197[/C][C]0.999999972377594[/C][C]5.52448115962078e-08[/C][C]2.76224057981039e-08[/C][/ROW]
[ROW][C]198[/C][C]0.999999959806022[/C][C]8.03879569613284e-08[/C][C]4.01939784806642e-08[/C][/ROW]
[ROW][C]199[/C][C]0.999999940233205[/C][C]1.19533589824384e-07[/C][C]5.97667949121921e-08[/C][/ROW]
[ROW][C]200[/C][C]0.999999933418417[/C][C]1.33163166540227e-07[/C][C]6.65815832701136e-08[/C][/ROW]
[ROW][C]201[/C][C]0.999999944648464[/C][C]1.10703072558025e-07[/C][C]5.53515362790126e-08[/C][/ROW]
[ROW][C]202[/C][C]0.999999930788738[/C][C]1.38422524393837e-07[/C][C]6.92112621969183e-08[/C][/ROW]
[ROW][C]203[/C][C]0.999999881233822[/C][C]2.37532356195469e-07[/C][C]1.18766178097735e-07[/C][/ROW]
[ROW][C]204[/C][C]0.999999803596384[/C][C]3.9280723117499e-07[/C][C]1.96403615587495e-07[/C][/ROW]
[ROW][C]205[/C][C]0.999999925400165[/C][C]1.49199669313876e-07[/C][C]7.45998346569379e-08[/C][/ROW]
[ROW][C]206[/C][C]0.999999870631413[/C][C]2.58737173105675e-07[/C][C]1.29368586552838e-07[/C][/ROW]
[ROW][C]207[/C][C]0.999999787450812[/C][C]4.25098377007953e-07[/C][C]2.12549188503976e-07[/C][/ROW]
[ROW][C]208[/C][C]0.999999634510402[/C][C]7.30979196815818e-07[/C][C]3.65489598407909e-07[/C][/ROW]
[ROW][C]209[/C][C]0.999999425682721[/C][C]1.14863455797921e-06[/C][C]5.74317278989607e-07[/C][/ROW]
[ROW][C]210[/C][C]0.999999202026187[/C][C]1.59594762521292e-06[/C][C]7.97973812606459e-07[/C][/ROW]
[ROW][C]211[/C][C]0.999998722108311[/C][C]2.55578337897479e-06[/C][C]1.2778916894874e-06[/C][/ROW]
[ROW][C]212[/C][C]0.999997826973474[/C][C]4.34605305197409e-06[/C][C]2.17302652598704e-06[/C][/ROW]
[ROW][C]213[/C][C]0.999996322135577[/C][C]7.35572884515727e-06[/C][C]3.67786442257863e-06[/C][/ROW]
[ROW][C]214[/C][C]0.999996334308481[/C][C]7.33138303713656e-06[/C][C]3.66569151856828e-06[/C][/ROW]
[ROW][C]215[/C][C]0.99999479926806[/C][C]1.04014638803676e-05[/C][C]5.20073194018378e-06[/C][/ROW]
[ROW][C]216[/C][C]0.999991583066585[/C][C]1.6833866829611e-05[/C][C]8.41693341480549e-06[/C][/ROW]
[ROW][C]217[/C][C]0.999991919872143[/C][C]1.61602557142707e-05[/C][C]8.08012785713537e-06[/C][/ROW]
[ROW][C]218[/C][C]0.999992531802365[/C][C]1.49363952701019e-05[/C][C]7.46819763505095e-06[/C][/ROW]
[ROW][C]219[/C][C]0.99999298619326[/C][C]1.40276134789553e-05[/C][C]7.01380673947763e-06[/C][/ROW]
[ROW][C]220[/C][C]0.999989971336255[/C][C]2.00573274905417e-05[/C][C]1.00286637452708e-05[/C][/ROW]
[ROW][C]221[/C][C]0.999984313639912[/C][C]3.13727201761051e-05[/C][C]1.56863600880525e-05[/C][/ROW]
[ROW][C]222[/C][C]0.999982270279157[/C][C]3.54594416867841e-05[/C][C]1.77297208433921e-05[/C][/ROW]
[ROW][C]223[/C][C]0.99999970875741[/C][C]5.82485179882741e-07[/C][C]2.91242589941371e-07[/C][/ROW]
[ROW][C]224[/C][C]0.99999945565333[/C][C]1.08869334065655e-06[/C][C]5.44346670328276e-07[/C][/ROW]
[ROW][C]225[/C][C]0.999999241348943[/C][C]1.51730211394837e-06[/C][C]7.58651056974183e-07[/C][/ROW]
[ROW][C]226[/C][C]0.999999073773953[/C][C]1.85245209382329e-06[/C][C]9.26226046911647e-07[/C][/ROW]
[ROW][C]227[/C][C]0.999998344657559[/C][C]3.31068488209337e-06[/C][C]1.65534244104668e-06[/C][/ROW]
[ROW][C]228[/C][C]0.999998132844455[/C][C]3.73431108910672e-06[/C][C]1.86715554455336e-06[/C][/ROW]
[ROW][C]229[/C][C]0.999998470059127[/C][C]3.05988174555063e-06[/C][C]1.52994087277531e-06[/C][/ROW]
[ROW][C]230[/C][C]0.999999802853568[/C][C]3.94292864072596e-07[/C][C]1.97146432036298e-07[/C][/ROW]
[ROW][C]231[/C][C]0.999999679824871[/C][C]6.4035025797018e-07[/C][C]3.2017512898509e-07[/C][/ROW]
[ROW][C]232[/C][C]0.999999786340721[/C][C]4.27318557332989e-07[/C][C]2.13659278666495e-07[/C][/ROW]
[ROW][C]233[/C][C]0.999999979142046[/C][C]4.17159084421461e-08[/C][C]2.08579542210731e-08[/C][/ROW]
[ROW][C]234[/C][C]0.999999957065865[/C][C]8.58682691310151e-08[/C][C]4.29341345655076e-08[/C][/ROW]
[ROW][C]235[/C][C]0.999999909226247[/C][C]1.81547505976152e-07[/C][C]9.07737529880759e-08[/C][/ROW]
[ROW][C]236[/C][C]0.999999862571437[/C][C]2.74857126457745e-07[/C][C]1.37428563228872e-07[/C][/ROW]
[ROW][C]237[/C][C]0.999999777607407[/C][C]4.44785186693999e-07[/C][C]2.22392593347e-07[/C][/ROW]
[ROW][C]238[/C][C]0.999999541633901[/C][C]9.16732198016133e-07[/C][C]4.58366099008066e-07[/C][/ROW]
[ROW][C]239[/C][C]0.999999663234899[/C][C]6.73530201075699e-07[/C][C]3.36765100537849e-07[/C][/ROW]
[ROW][C]240[/C][C]0.999999292006238[/C][C]1.4159875245631e-06[/C][C]7.07993762281548e-07[/C][/ROW]
[ROW][C]241[/C][C]0.99999863957804[/C][C]2.72084392088784e-06[/C][C]1.36042196044392e-06[/C][/ROW]
[ROW][C]242[/C][C]0.99999779788753[/C][C]4.40422494099158e-06[/C][C]2.20211247049579e-06[/C][/ROW]
[ROW][C]243[/C][C]0.999996103820496[/C][C]7.79235900836646e-06[/C][C]3.89617950418323e-06[/C][/ROW]
[ROW][C]244[/C][C]0.999993755286023[/C][C]1.24894279542512e-05[/C][C]6.2447139771256e-06[/C][/ROW]
[ROW][C]245[/C][C]0.999987884738038[/C][C]2.4230523924277e-05[/C][C]1.21152619621385e-05[/C][/ROW]
[ROW][C]246[/C][C]0.999983374267816[/C][C]3.32514643676283e-05[/C][C]1.66257321838141e-05[/C][/ROW]
[ROW][C]247[/C][C]0.999999696437674[/C][C]6.07124652365654e-07[/C][C]3.03562326182827e-07[/C][/ROW]
[ROW][C]248[/C][C]0.99999967523624[/C][C]6.49527519450012e-07[/C][C]3.24763759725006e-07[/C][/ROW]
[ROW][C]249[/C][C]0.999999296284511[/C][C]1.40743097721013e-06[/C][C]7.03715488605063e-07[/C][/ROW]
[ROW][C]250[/C][C]0.999998622923782[/C][C]2.75415243617239e-06[/C][C]1.3770762180862e-06[/C][/ROW]
[ROW][C]251[/C][C]0.999997455067187[/C][C]5.08986562541228e-06[/C][C]2.54493281270614e-06[/C][/ROW]
[ROW][C]252[/C][C]0.99999418781134[/C][C]1.16243773209244e-05[/C][C]5.8121886604622e-06[/C][/ROW]
[ROW][C]253[/C][C]0.999991233394521[/C][C]1.75332109588119e-05[/C][C]8.76660547940596e-06[/C][/ROW]
[ROW][C]254[/C][C]0.999987021724837[/C][C]2.59565503261098e-05[/C][C]1.29782751630549e-05[/C][/ROW]
[ROW][C]255[/C][C]0.999988079853736[/C][C]2.38402925290678e-05[/C][C]1.19201462645339e-05[/C][/ROW]
[ROW][C]256[/C][C]0.999973694721343[/C][C]5.26105573134573e-05[/C][C]2.63052786567286e-05[/C][/ROW]
[ROW][C]257[/C][C]0.999941616259874[/C][C]0.00011676748025291[/C][C]5.83837401264548e-05[/C][/ROW]
[ROW][C]258[/C][C]0.999878399615696[/C][C]0.000243200768608372[/C][C]0.000121600384304186[/C][/ROW]
[ROW][C]259[/C][C]0.999785207876722[/C][C]0.000429584246556039[/C][C]0.000214792123278019[/C][/ROW]
[ROW][C]260[/C][C]0.999565755839675[/C][C]0.00086848832065041[/C][C]0.000434244160325205[/C][/ROW]
[ROW][C]261[/C][C]0.999180994983646[/C][C]0.00163801003270886[/C][C]0.000819005016354429[/C][/ROW]
[ROW][C]262[/C][C]0.998409741417132[/C][C]0.00318051716573667[/C][C]0.00159025858286833[/C][/ROW]
[ROW][C]263[/C][C]0.997131372211745[/C][C]0.00573725557650999[/C][C]0.00286862778825499[/C][/ROW]
[ROW][C]264[/C][C]0.994389115747963[/C][C]0.0112217685040748[/C][C]0.0056108842520374[/C][/ROW]
[ROW][C]265[/C][C]0.989252728802633[/C][C]0.0214945423947349[/C][C]0.0107472711973674[/C][/ROW]
[ROW][C]266[/C][C]0.981516497475151[/C][C]0.0369670050496978[/C][C]0.0184835025248489[/C][/ROW]
[ROW][C]267[/C][C]0.97007709892103[/C][C]0.0598458021579409[/C][C]0.0299229010789705[/C][/ROW]
[ROW][C]268[/C][C]0.995488088522548[/C][C]0.00902382295490485[/C][C]0.00451191147745243[/C][/ROW]
[ROW][C]269[/C][C]0.996247244205865[/C][C]0.00750551158826949[/C][C]0.00375275579413474[/C][/ROW]
[ROW][C]270[/C][C]0.993518554965837[/C][C]0.0129628900683259[/C][C]0.00648144503416293[/C][/ROW]
[ROW][C]271[/C][C]0.985397006324485[/C][C]0.0292059873510301[/C][C]0.0146029936755151[/C][/ROW]
[ROW][C]272[/C][C]0.968169861011625[/C][C]0.0636602779767507[/C][C]0.0318301389883753[/C][/ROW]
[ROW][C]273[/C][C]0.969640127282933[/C][C]0.060719745434133[/C][C]0.0303598727170665[/C][/ROW]
[ROW][C]274[/C][C]0.923492217571423[/C][C]0.153015564857154[/C][C]0.0765077824285772[/C][/ROW]
[ROW][C]275[/C][C]0.823364683013665[/C][C]0.353270633972669[/C][C]0.176635316986335[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197032&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197032&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
140.3722107905551360.7444215811102720.627789209444864
150.3710013484242440.7420026968484890.628998651575756
160.2386226166488790.4772452332977580.761377383351121
170.4349895565854130.8699791131708270.565010443414587
180.3426231135571040.6852462271142080.657376886442896
190.5355083521510990.9289832956978010.464491647848901
200.4749571298293430.9499142596586860.525042870170657
210.4368842345579920.8737684691159830.563115765442008
220.3759332060665180.7518664121330360.624066793933482
230.3333246631738720.6666493263477440.666675336826128
240.2630520361291860.5261040722583720.736947963870814
250.2006092346434120.4012184692868250.799390765356588
260.201307439814840.4026148796296790.79869256018516
270.1634609761493380.3269219522986750.836539023850662
280.1398780298904960.2797560597809910.860121970109504
290.3184824897600880.6369649795201750.681517510239912
300.2740238546507150.5480477093014310.725976145349285
310.2207222109626990.4414444219253990.779277789037301
320.2373695655393850.474739131078770.762630434460615
330.3300025362611510.6600050725223020.669997463738849
340.4694136503598610.9388273007197220.530586349640139
350.4105101169912410.8210202339824810.589489883008759
360.3526206137859370.7052412275718740.647379386214063
370.3072614965338940.6145229930677890.692738503466106
380.3234494610819360.6468989221638720.676550538918064
390.2770705121854230.5541410243708450.722929487814577
400.2342158516822040.4684317033644090.765784148317796
410.1933982122191760.3867964244383510.806601787780824
420.1600280339414430.3200560678828870.839971966058557
430.2011157052105910.4022314104211810.798884294789409
440.2333777584450040.4667555168900080.766622241554996
450.3024328367844620.6048656735689250.697567163215538
460.261267258776810.522534517553620.73873274122319
470.4533321436658370.9066642873316750.546667856334163
480.413464486149640.826928972299280.58653551385036
490.3910705221392640.7821410442785290.608929477860736
500.4218718566934150.843743713386830.578128143306585
510.7963002367919320.4073995264161370.203699763208069
520.7630585690072340.4738828619855330.236941430992766
530.7530324431070390.4939351137859230.246967556892961
540.874902507151920.2501949856961610.12509749284808
550.8987018533790310.2025962932419380.101298146620969
560.8802745262880890.2394509474238210.119725473711911
570.8566246118813820.2867507762372370.143375388118618
580.999817986961250.0003640260775003920.000182013038750196
590.999731188332250.0005376233354995880.000268811667749794
600.9996175419370020.0007649161259961450.000382458062998073
610.999866901939210.0002661961215809270.000133098060790464
620.9998070144870550.0003859710258898570.000192985512944928
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Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2080.793893129770992NOK
5% type I error level2130.812977099236641NOK
10% type I error level2160.824427480916031NOK

\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 & 208 & 0.793893129770992 & NOK \tabularnewline
5% type I error level & 213 & 0.812977099236641 & NOK \tabularnewline
10% type I error level & 216 & 0.824427480916031 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197032&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]208[/C][C]0.793893129770992[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]213[/C][C]0.812977099236641[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]216[/C][C]0.824427480916031[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197032&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197032&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 level2080.793893129770992NOK
5% type I error level2130.812977099236641NOK
10% type I error level2160.824427480916031NOK



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