Free Statistics

of Irreproducible Research!

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, 22 Dec 2011 13:32:34 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/22/t1324578766ger0fwfoqoxv4xp.htm/, Retrieved Fri, 03 May 2024 14:00:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=159830, Retrieved Fri, 03 May 2024 14:00:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact90
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [rfc MR] [2011-12-15 10:51:08] [26f9350dcf28f408b6e37deed68b781e]
-   P   [Multiple Regression] [rfc MR time] [2011-12-15 12:20:04] [26f9350dcf28f408b6e37deed68b781e]
- R       [Multiple Regression] [multiple regressi...] [2011-12-22 17:41:46] [60ee5df9faaa84c3ff8430225fa6ae40]
-    D        [Multiple Regression] [fqsfqqfs] [2011-12-22 18:32:34] [45518980c8849b3d423cb3fbefd7479f] [Current]
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Dataseries X:
1418	210907	56	396	81	3	79	30	115	94	112285	24188	146283	144	145
869	120982	56	297	55	4	58	28	109	103	84786	18273	98364	103	101
1530	176508	54	559	50	12	60	38	146	93	83123	14130	86146	98	98
2172	179321	89	967	125	2	108	30	116	103	101193	32287	96933	135	132
901	123185	40	270	40	1	49	22	68	51	38361	8654	79234	61	60
463	52746	25	143	37	3	0	26	101	70	68504	9245	42551	39	38
3201	385534	92	1562	63	0	121	25	96	91	119182	33251	195663	150	144
371	33170	18	109	44	0	1	18	67	22	22807	1271	6853	5	5
1192	101645	63	371	88	0	20	11	44	38	17140	5279	21529	28	28
1583	149061	44	656	66	5	43	26	100	93	116174	27101	95757	84	84
1439	165446	33	511	57	0	69	25	93	60	57635	16373	85584	80	79
1764	237213	84	655	74	0	78	38	140	123	66198	19716	143983	130	127
1495	173326	88	465	49	7	86	44	166	148	71701	17753	75851	82	78
1373	133131	55	525	52	7	44	30	99	90	57793	9028	59238	60	60
2187	258873	60	885	88	3	104	40	139	124	80444	18653	93163	131	131
1491	180083	66	497	36	9	63	34	130	70	53855	8828	96037	84	84
4041	324799	154	1436	108	0	158	47	181	168	97668	29498	151511	140	133
1706	230964	53	612	43	4	102	30	116	115	133824	27563	136368	151	150
2152	236785	119	865	75	3	77	31	116	71	101481	18293	112642	91	91
1036	135473	41	385	32	0	82	23	88	66	99645	22530	94728	138	132
1882	202925	61	567	44	7	115	36	139	134	114789	15977	105499	150	136
1929	215147	58	639	85	0	101	36	135	117	99052	35082	121527	124	124
2242	344297	75	963	86	1	80	30	108	108	67654	16116	127766	119	118
1220	153935	33	398	56	5	50	25	89	84	65553	15849	98958	73	70
1289	132943	40	410	50	7	83	39	156	156	97500	16026	77900	110	107
2515	174724	92	966	135	0	123	34	129	120	69112	26569	85646	123	119
2147	174415	100	801	63	0	73	31	118	114	82753	24785	98579	90	89
2352	225548	112	892	81	5	81	31	118	94	85323	17569	130767	116	112
1638	223632	73	513	52	0	105	33	125	120	72654	23825	131741	113	108
1222	124817	40	469	44	0	47	25	95	81	30727	7869	53907	56	52
1812	221698	45	683	113	0	105	33	126	110	77873	14975	178812	115	112
1677	210767	60	643	39	3	94	35	135	133	117478	37791	146761	119	116
1579	170266	62	535	73	4	44	42	154	122	74007	9605	82036	129	123
1731	260561	75	625	48	1	114	43	165	158	90183	27295	163253	127	125
807	84853	31	264	33	4	38	30	113	109	61542	2746	27032	27	27
2452	294424	77	992	59	2	107	33	127	124	101494	34461	171975	175	162
829	101011	34	238	41	0	30	13	52	39	27570	8098	65990	35	32
1940	215641	46	818	69	0	71	32	121	92	55813	4787	86572	64	64
2662	325107	99	937	64	0	84	36	136	126	79215	24919	159676	96	92
186	7176	17	70	1	0	0	0	0	0	1423	603	1929	0	0
1499	167542	66	507	59	2	59	28	108	70	55461	16329	85371	84	83
865	106408	30	260	32	1	33	14	46	37	31081	12558	58391	41	41
1793	96560	76	503	129	0	42	17	54	38	22996	7784	31580	47	47
2527	265769	146	927	37	2	96	32	124	120	83122	28522	136815	126	120
2747	269651	67	1269	31	10	106	30	115	93	70106	22265	120642	105	105
1324	149112	56	537	65	6	56	35	128	95	60578	14459	69107	80	79
2702	175824	107	910	107	0	57	20	80	77	39992	14526	50495	70	65
1383	152871	58	532	74	5	59	28	97	90	79892	22240	108016	73	70
1179	111665	34	345	54	4	39	28	104	80	49810	11802	46341	57	55
2099	116408	61	918	76	1	34	39	59	31	71570	7623	78348	40	39
4308	362301	119	1635	715	2	76	34	125	110	100708	11912	79336	68	67
918	78800	42	330	57	2	20	26	82	66	33032	7935	56968	21	21
1831	183167	66	557	66	0	91	39	149	138	82875	18220	93176	127	127
3373	277965	89	1178	106	8	115	39	149	133	139077	19199	161632	154	152
1713	150629	44	740	54	3	85	33	122	113	71595	19918	87850	116	113
1438	168809	66	452	32	0	76	28	118	100	72260	21884	127969	102	99
496	24188	24	218	20	0	8	4	12	7	5950	2694	15049	7	7
2253	329267	259	764	71	8	79	39	144	140	115762	15808	155135	148	141
744	65029	17	255	21	5	21	18	67	61	32551	3597	25109	21	21
1161	101097	64	454	70	3	30	14	52	41	31701	5296	45824	35	35
2352	218946	41	866	112	1	76	29	108	96	80670	25239	102996	112	109
2144	244052	68	574	66	5	101	44	166	164	143558	29801	160604	137	133
4691	341570	168	1276	190	1	94	21	80	78	117105	18450	158051	135	123
1112	103597	43	379	66	1	27	16	60	49	23789	7132	44547	26	26
2694	233328	132	825	165	5	92	28	107	102	120733	34861	162647	230	230
1973	256462	105	798	56	0	123	35	127	124	105195	35940	174141	181	166
1769	206161	71	663	61	12	75	28	107	99	73107	16688	60622	71	68
3148	311473	112	1069	53	8	128	38	146	129	132068	24683	179566	147	147
2474	235800	94	921	127	8	105	23	84	62	149193	46230	184301	190	179
2084	177939	82	858	63	8	55	36	141	73	46821	10387	75661	64	61
1954	207176	70	711	38	8	56	32	123	114	87011	21436	96144	105	101
1226	196553	57	503	50	2	41	29	111	99	95260	30546	129847	107	108
1389	174184	53	382	52	0	72	25	98	70	55183	19746	117286	94	90
1496	143246	103	464	42	5	67	27	105	104	106671	15977	71180	116	114
2269	187559	121	717	76	8	75	36	135	116	73511	22583	109377	106	103
1833	187681	62	690	67	2	114	28	107	91	92945	17274	85298	143	142
1268	119016	52	462	50	5	118	23	85	74	78664	16469	73631	81	79
1943	182192	52	657	53	12	77	40	155	138	70054	14251	86767	89	88
893	73566	32	385	39	6	22	23	88	67	22618	3007	23824	26	25
1762	194979	62	577	50	7	66	40	155	151	74011	16851	93487	84	83
1403	167488	45	619	77	2	69	28	104	72	83737	21113	82981	113	113
1425	143756	46	479	57	0	105	34	132	120	69094	17401	73815	120	118
1857	275541	63	817	73	4	116	33	127	115	93133	23958	94552	110	110
1840	243199	75	752	34	3	88	28	108	105	95536	23567	132190	134	129
1502	182999	88	430	39	6	73	34	129	104	225920	13065	128754	54	51
1441	135649	46	451	46	2	99	30	116	108	62133	15358	66363	96	93
1420	152299	53	537	63	0	62	33	122	98	61370	14587	67808	78	76
1416	120221	37	519	35	1	53	22	85	69	43836	12770	61724	51	49
2970	346485	90	1000	106	0	118	38	147	111	106117	24021	131722	121	118
1317	145790	63	637	43	5	30	26	99	99	38692	9648	68580	38	38
1644	193339	78	465	47	2	100	35	87	71	84651	20537	106175	145	141
870	80953	25	437	31	0	49	8	28	27	56622	7905	55792	59	58
1654	122774	45	711	162	0	24	24	90	69	15986	4527	25157	27	27
1054	130585	46	299	57	5	67	29	109	107	95364	30495	76669	91	91
937	112611	41	248	36	0	46	20	78	73	26706	7117	57283	48	48
3004	286468	144	1162	263	1	57	29	111	107	89691	17719	105805	68	63
2008	241066	82	714	78	0	75	45	158	93	67267	27056	129484	58	56
2547	148446	91	905	63	1	135	37	141	129	126846	33473	72413	150	144
1885	204713	71	649	54	1	68	33	122	69	41140	9758	87831	74	73
1626	182079	63	512	63	2	124	33	124	118	102860	21115	96971	181	168
1468	140344	53	472	77	6	33	25	93	73	51715	7236	71299	65	64
2445	220516	62	905	79	1	98	32	124	119	55801	13790	77494	97	97
1964	243060	63	786	110	4	58	29	112	104	111813	32902	120336	121	117
1381	162765	32	489	56	2	68	28	108	107	120293	25131	93913	99	100
1369	182613	39	479	56	3	81	28	99	99	138599	30910	136048	152	149
1659	232138	62	617	43	0	131	31	117	90	161647	35947	181248	188	187
2888	265318	117	925	111	10	110	52	199	197	115929	29848	146123	138	127
1290	85574	34	351	71	0	37	21	78	36	24266	6943	32036	40	37
2845	310839	92	1144	62	9	130	24	91	85	162901	42705	186646	254	245
1982	225060	93	669	56	7	93	41	158	139	109825	31808	102255	87	87
1904	232317	54	707	74	0	118	33	126	106	129838	26675	168237	178	177
1391	144966	144	458	60	0	39	32	122	50	37510	8435	64219	51	49
602	43287	14	214	43	4	13	19	71	64	43750	7409	19630	49	49
1743	155754	61	599	68	4	74	20	75	31	40652	14993	76825	73	73
1559	164709	109	572	53	0	81	31	115	63	87771	36867	115338	176	177
2014	201940	38	897	87	0	109	31	119	92	85872	33835	109427	94	94
2143	235454	73	819	46	0	151	32	124	106	89275	24164	118168	120	117
2146	220801	75	720	105	1	51	18	72	63	44418	12607	84845	66	60
874	99466	50	273	32	0	28	23	91	69	192565	22609	153197	56	55
1590	92661	61	508	133	1	40	17	45	41	35232	5892	29877	39	39
1590	133328	55	506	79	0	56	20	78	56	40909	17014	63506	66	64
1210	61361	77	451	51	0	27	12	39	25	13294	5394	22445	27	26
2072	125930	75	699	207	4	37	17	68	65	32387	9178	47695	65	64
1281	100750	72	407	67	0	83	30	119	93	140867	6440	68370	58	58
1401	224549	50	465	47	4	54	31	117	114	120662	21916	146304	98	95
834	82316	32	245	34	4	27	10	39	38	21233	4011	38233	25	25
1105	102010	53	370	66	3	28	13	50	44	44332	5818	42071	26	26
1272	101523	42	316	76	0	59	22	88	87	61056	18647	50517	77	76
1944	243511	71	603	65	0	133	42	155	110	101338	20556	103950	130	129
391	22938	10	154	9	0	12	1	0	0	1168	238	5841	11	11
761	41566	35	229	42	5	0	9	36	27	13497	70	2341	2	2
1605	152474	65	577	45	0	106	32	123	83	65567	22392	84396	101	101
530	61857	25	192	25	4	23	11	32	30	25162	3913	24610	31	28
1988	99923	66	617	115	0	44	25	99	80	32334	12237	35753	36	36
1386	132487	41	411	97	0	71	36	136	98	40735	8388	55515	120	89
2395	317394	86	975	53	1	116	31	117	82	91413	22120	209056	195	193
387	21054	16	146	2	0	4	0	0	0	855	338	6622	4	4
1742	209641	42	705	52	5	62	24	88	60	97068	11727	115814	89	84
620	22648	19	184	44	0	12	13	39	28	44339	3704	11609	24	23
449	31414	19	200	22	0	18	8	25	9	14116	3988	13155	39	39
800	46698	45	274	35	0	14	13	52	33	10288	3030	18274	14	14
1684	131698	65	502	74	0	60	19	75	59	65622	13520	72875	78	78
1050	91735	35	382	103	0	7	18	71	49	16563	1421	10112	15	14
2699	244749	95	964	144	2	98	33	124	115	76643	20923	142775	106	101
1606	184510	49	537	60	7	64	40	151	140	110681	20237	68847	83	82
1502	79863	37	438	134	1	29	22	71	49	29011	3219	17659	24	24
1204	128423	64	369	89	8	32	38	145	120	92696	3769	20112	37	36
1138	97839	38	417	42	2	25	24	87	66	94785	12252	61023	77	75
568	38214	34	276	52	0	16	8	27	21	8773	1888	13983	16	16
1459	151101	32	514	98	2	48	35	131	124	83209	14497	65176	56	55
2158	272458	65	822	99	0	100	43	162	152	93815	28864	132432	132	131
1111	172494	52	389	52	0	46	43	165	139	86687	21721	112494	144	131
1421	108043	62	466	29	1	45	14	54	38	34553	4821	45109	40	39
2833	328107	65	1255	125	3	129	41	159	144	105547	33644	170875	153	144
1955	250579	83	694	106	0	130	38	147	120	103487	15923	180759	143	139
2922	351067	95	1024	95	3	136	45	170	160	213688	42935	214921	220	211
1002	158015	29	400	40	0	59	31	119	114	71220	18864	100226	79	78
1060	98866	18	397	140	0	25	13	49	39	23517	4977	32043	50	50
956	85439	33	350	43	0	32	28	104	78	56926	7785	54454	39	39
2186	229242	247	719	128	4	63	31	120	119	91721	17939	78876	95	90
3604	351619	139	1277	142	4	95	40	150	141	115168	23436	170745	169	166
1035	84207	29	356	73	11	14	30	112	101	111194	325	6940	12	12
1417	120445	118	457	72	0	36	16	59	56	51009	13539	49025	63	57
3261	324598	110	1402	128	0	113	37	136	133	135777	34538	122037	134	133
1587	131069	67	600	61	4	47	30	107	83	51513	12198	53782	69	69
1424	204271	42	480	73	0	92	35	130	116	74163	26924	127748	119	119
1701	165543	65	595	148	1	70	32	115	90	51633	12716	86839	119	119
1249	141722	94	436	64	0	19	27	107	36	75345	8172	44830	75	65
946	116048	64	230	45	0	50	20	75	50	33416	10855	77395	63	61
1926	250047	81	651	58	0	41	18	71	61	83305	11932	89324	55	49
3352	299775	95	1367	97	9	91	31	120	97	98952	14300	103300	103	101
1641	195838	67	564	50	1	111	31	116	98	102372	25515	112283	197	196
2035	173260	63	716	37	3	41	21	79	78	37238	2805	10901	16	15
2312	254488	83	747	50	10	120	39	150	117	103772	29402	120691	140	136
1369	104389	45	467	105	5	135	41	156	148	123969	16440	58106	89	89
1577	136084	30	671	69	0	27	13	51	41	27142	11221	57140	40	40
2201	199476	70	861	46	2	87	32	118	105	135400	28732	122422	125	123
961	92499	32	319	57	0	25	18	71	55	21399	5250	25899	21	21
1900	224330	83	612	52	1	131	39	144	132	130115	28608	139296	167	163
1254	135781	31	433	98	2	45	14	47	44	24874	8092	52678	32	29
1335	74408	67	434	61	4	29	7	28	21	34988	4473	23853	36	35
1597	81240	66	503	89	0	58	17	68	50	45549	1572	17306	13	13
207	14688	10	85	0	0	4	0	0	0	6023	2065	7953	5	5
1645	181633	70	564	48	2	47	30	110	73	64466	14817	89455	96	96
2429	271856	103	824	91	1	109	37	147	86	54990	16714	147866	151	151
151	7199	5	74	0	0	7	0	0	0	1644	556	4245	6	6
474	46660	20	259	7	0	12	5	15	13	6179	2089	21509	13	13
141	17547	5	69	3	0	0	1	4	4	3926	2658	7670	3	3
1639	133368	36	535	54	1	37	16	64	57	32755	10695	66675	57	56
872	95227	34	239	70	0	37	32	111	48	34777	1669	14336	23	23
1318	152601	48	438	36	2	46	24	85	46	73224	16267	53608	61	57
1018	98146	40	459	37	0	15	17	68	48	27114	7768	30059	21	14
1383	79619	43	426	123	3	42	11	40	32	20760	7252	29668	43	43
1314	59194	31	288	247	6	7	24	80	68	37636	6387	22097	20	20
1335	139942	42	498	46	0	54	22	88	87	65461	18715	96841	82	72
1403	118612	46	454	72	2	54	12	48	43	30080	7936	41907	90	87
910	72880	33	376	41	0	14	19	76	67	24094	8643	27080	25	21
616	65475	18	225	24	2	16	13	51	46	69008	7294	35885	60	56
1407	99643	55	555	45	1	33	17	67	46	54968	4570	41247	61	59
771	71965	35	252	33	1	32	15	59	56	46090	7185	28313	85	82
766	77272	59	208	27	2	21	16	61	48	27507	10058	36845	43	43
473	49289	19	130	36	1	15	24	76	44	10672	2342	16548	25	25
1376	135131	66	481	87	0	38	15	60	60	34029	8509	36134	41	38
1232	108446	60	389	90	1	22	17	68	65	46300	13275	55764	26	25
1521	89746	36	565	114	3	28	18	71	55	24760	6816	28910	38	38
572	44296	25	173	31	0	10	20	76	38	18779	1930	13339	12	12
1059	77648	47	278	45	0	31	16	62	52	21280	8086	25319	29	29
1544	181528	54	609	69	0	32	16	61	60	40662	10737	66956	49	47
1230	134019	53	422	51	0	32	18	67	54	28987	8033	47487	46	45
1206	124064	40	445	34	1	43	22	88	86	22827	7058	52785	41	40
1205	92630	40	387	60	4	27	8	30	24	18513	6782	44683	31	30
1255	121848	39	339	45	0	37	17	64	52	30594	5401	35619	41	41
613	52915	14	181	54	0	20	18	68	49	24006	6521	21920	26	25
721	81872	45	245	25	0	32	16	64	61	27913	10856	45608	23	23
1109	58981	36	384	38	7	0	23	91	61	42744	2154	7721	14	14
740	53515	28	212	52	2	5	22	88	81	12934	6117	20634	16	16
1126	60812	44	399	67	0	26	13	52	43	22574	5238	29788	25	26
728	56375	30	229	74	7	10	13	49	40	41385	4820	31931	21	21
689	65490	22	224	38	3	27	16	62	40	18653	5615	37754	32	27
592	80949	17	203	30	0	11	16	61	56	18472	4272	32505	9	9
995	76302	31	333	26	0	29	20	76	68	30976	8702	40557	35	33
1613	104011	55	384	67	6	25	22	88	79	63339	15340	94238	42	42
2048	98104	54	636	132	2	55	17	66	47	25568	8030	44197	68	68
705	67989	21	185	42	0	23	18	71	57	33747	9526	43228	32	32
301	30989	14	93	35	0	5	17	68	41	4154	1278	4103	6	6
1803	135458	81	581	118	3	43	12	48	29	19474	4236	44144	68	67
799	73504	35	248	68	0	23	7	25	3	35130	3023	32868	33	33
861	63123	43	304	43	1	34	17	68	60	39067	7196	27640	84	77
1186	61254	46	344	76	1	36	14	41	30	13310	3394	14063	46	46
1451	74914	30	407	64	0	35	23	90	79	65892	6371	28990	30	30
628	31774	23	170	48	1	0	17	66	47	4143	1574	4694	0	0
1161	81437	38	312	64	0	37	14	54	40	28579	9620	42648	36	36
1463	87186	54	507	56	0	28	15	59	48	51776	6978	64329	47	46
742	50090	20	224	71	0	16	17	60	36	21152	4911	21928	20	18
979	65745	53	340	75	0	26	21	77	42	38084	8645	25836	50	48
675	56653	45	168	39	0	38	18	68	49	27717	8987	22779	30	29
1241	158399	39	443	42	0	23	18	72	57	32928	5544	40820	30	28
676	46455	20	204	39	0	22	17	67	12	11342	3083	27530	34	34
1049	73624	24	367	93	0	30	17	64	40	19499	6909	32378	33	33
620	38395	31	210	38	0	16	16	63	43	16380	3189	10824	34	34
1081	91899	35	335	60	0	18	15	59	33	36874	6745	39613	37	33
1688	139526	151	364	71	0	28	21	84	77	48259	16724	60865	83	80
736	52164	52	178	52	0	32	16	64	43	16734	4850	19787	32	32
617	51567	30	206	27	2	21	14	56	45	28207	7025	20107	30	30
812	70551	31	279	59	0	23	15	54	47	30143	6047	36605	43	41
1051	84856	29	387	40	1	29	17	67	43	41369	7377	40961	41	41
1656	102538	57	490	79	1	50	15	58	45	45833	9078	48231	51	51
705	86678	40	238	44	0	12	15	59	50	29156	4605	39725	19	18
945	85709	44	343	65	0	21	10	40	35	35944	3238	21455	37	34
554	34662	25	232	10	0	18	6	22	7	36278	8100	23430	33	31
1597	150580	77	530	124	0	27	22	83	71	45588	9653	62991	41	39
982	99611	35	291	81	0	41	21	81	67	45097	8914	49363	54	54
222	19349	11	67	15	0	13	1	2	0	3895	786	9604	14	14
1212	99373	63	397	92	1	12	18	72	62	28394	6700	24552	25	24
1143	86230	44	467	42	0	21	17	61	54	18632	5788	31493	25	24
435	30837	19	178	10	0	8	4	15	4	2325	593	3439	8	8
532	31706	13	175	24	0	26	10	32	25	25139	4506	19555	26	26
882	89806	42	299	64	0	27	16	62	40	27975	6382	21228	20	19
608	62088	38	154	45	1	13	16	58	38	14483	5621	23177	11	11
459	40151	29	106	22	0	16	9	36	19	13127	3997	22094	14	14
578	27634	20	189	56	0	2	16	59	17	5839	520	2342	3	1
826	76990	27	194	94	0	42	17	68	67	24069	8891	38798	40	39
509	37460	20	135	19	0	5	7	21	14	3738	999	3255	5	5
717	54157	19	201	35	0	37	15	55	30	18625	7067	24261	38	37
637	49862	37	207	32	0	17	14	54	54	36341	4639	18511	32	32
857	84337	26	280	35	0	38	14	55	35	24548	5654	40798	41	38
830	64175	42	260	48	0	37	18	72	59	21792	6928	28893	46	47
652	59382	49	227	49	0	29	12	41	24	26263	1514	21425	47	47
707	119308	30	239	48	0	32	16	61	58	23686	9238	50276	37	37
954	76702	49	333	62	0	35	21	67	42	49303	8204	37643	51	51
1461	103425	67	428	96	1	17	19	76	46	25659	5926	30377	49	45
672	70344	28	230	45	0	20	16	64	61	28904	5785	27126	21	21
778	43410	19	292	63	0	7	1	3	3	2781	4	13	1	1
1141	104838	49	350	71	1	46	16	63	52	29236	5930	42097	44	42
680	62215	27	186	26	0	24	10	40	25	19546	3710	24451	26	26
1090	69304	30	326	48	6	40	19	69	40	22818	705	14335	21	21
616	53117	22	155	29	3	3	12	48	32	32689	443	5084	4	4
285	19764	12	75	19	1	10	2	8	4	5752	2416	9927	10	10
1145	86680	31	361	45	2	37	14	52	49	22197	7747	43527	43	43
733	84105	20	261	45	0	17	17	66	63	20055	5432	27184	34	34
888	77945	20	299	67	0	28	19	76	67	25272	4913	21610	32	31
849	89113	39	300	30	0	19	14	43	32	82206	2650	20484	20	19
1182	91005	29	450	36	3	29	11	39	23	32073	2370	20156	34	34
528	40248	16	183	34	1	8	4	14	7	5444	775	6012	6	6
642	64187	27	238	36	0	10	16	61	54	20154	5576	18475	12	11
947	50857	21	165	34	0	15	20	71	37	36944	1352	12645	24	24
819	56613	19	234	37	1	15	12	44	35	8019	3080	11017	16	16
757	62792	35	176	46	0	28	15	60	51	30884	10205	37623	72	72
894	72535	14	329	44	0	17	16	64	39	19540	6095	35873	27	21




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time13 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 13 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159830&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]13 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159830&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159830&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 time13 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Multiple Linear Regression - Estimated Regression Equation
time_in_rfc[t] = -5425.45816532429 + 6.16687838238534pageviews[t] + 172.083546617996logins[t] + 111.546734729441compendium_views_info[t] + 14.5692916219649compendium_views_pr[t] -215.734405888975shared_compendiums[t] + 36.0107233145657blogged_computations[t] -927.987057632086compendiums_reviewed[t] + 379.17305776229feedback_messages_p1[t] + 186.499782061387feedback_messages_p120[t] -0.0980059031696559totsize[t] -0.81286766710331totrevisions[t] + 0.857817088206086totseconds[t] + 101.838542010251tothyperlinks[t] -90.4391414594478totblogs[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
time_in_rfc[t] =  -5425.45816532429 +  6.16687838238534pageviews[t] +  172.083546617996logins[t] +  111.546734729441compendium_views_info[t] +  14.5692916219649compendium_views_pr[t] -215.734405888975shared_compendiums[t] +  36.0107233145657blogged_computations[t] -927.987057632086compendiums_reviewed[t] +  379.17305776229feedback_messages_p1[t] +  186.499782061387feedback_messages_p120[t] -0.0980059031696559totsize[t] -0.81286766710331totrevisions[t] +  0.857817088206086totseconds[t] +  101.838542010251tothyperlinks[t] -90.4391414594478totblogs[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159830&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]time_in_rfc[t] =  -5425.45816532429 +  6.16687838238534pageviews[t] +  172.083546617996logins[t] +  111.546734729441compendium_views_info[t] +  14.5692916219649compendium_views_pr[t] -215.734405888975shared_compendiums[t] +  36.0107233145657blogged_computations[t] -927.987057632086compendiums_reviewed[t] +  379.17305776229feedback_messages_p1[t] +  186.499782061387feedback_messages_p120[t] -0.0980059031696559totsize[t] -0.81286766710331totrevisions[t] +  0.857817088206086totseconds[t] +  101.838542010251tothyperlinks[t] -90.4391414594478totblogs[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159830&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159830&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
time_in_rfc[t] = -5425.45816532429 + 6.16687838238534pageviews[t] + 172.083546617996logins[t] + 111.546734729441compendium_views_info[t] + 14.5692916219649compendium_views_pr[t] -215.734405888975shared_compendiums[t] + 36.0107233145657blogged_computations[t] -927.987057632086compendiums_reviewed[t] + 379.17305776229feedback_messages_p1[t] + 186.499782061387feedback_messages_p120[t] -0.0980059031696559totsize[t] -0.81286766710331totrevisions[t] + 0.857817088206086totseconds[t] + 101.838542010251tothyperlinks[t] -90.4391414594478totblogs[t] + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-5425.458165324293505.518477-1.54770.1228510.061425
pageviews6.166878382385348.0795180.76330.4459570.222979
logins172.08354661799660.871342.8270.0050450.002522
compendium_views_info111.54673472944117.3003666.447700
compendium_views_pr14.569291621964933.0922530.44030.6600940.330047
shared_compendiums-215.734405888975549.046011-0.39290.694680.34734
blogged_computations36.010723314565791.5615990.39330.6944070.347204
compendiums_reviewed-927.987057632086689.4796-1.34590.179440.08972
feedback_messages_p1379.17305776229208.6744981.81710.0703010.035151
feedback_messages_p120186.499782061387103.8834261.79530.0737110.036856
totsize-0.09800590316965590.064656-1.51580.130720.06536
totrevisions-0.812867667103310.318563-2.55170.0112640.005632
totseconds0.8578170882060860.07079312.117300
tothyperlinks101.838542010251436.7070550.23320.8157830.407891
totblogs-90.4391414594478452.620714-0.19980.8417760.420888

\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) & -5425.45816532429 & 3505.518477 & -1.5477 & 0.122851 & 0.061425 \tabularnewline
pageviews & 6.16687838238534 & 8.079518 & 0.7633 & 0.445957 & 0.222979 \tabularnewline
logins & 172.083546617996 & 60.87134 & 2.827 & 0.005045 & 0.002522 \tabularnewline
compendium_views_info & 111.546734729441 & 17.300366 & 6.4477 & 0 & 0 \tabularnewline
compendium_views_pr & 14.5692916219649 & 33.092253 & 0.4403 & 0.660094 & 0.330047 \tabularnewline
shared_compendiums & -215.734405888975 & 549.046011 & -0.3929 & 0.69468 & 0.34734 \tabularnewline
blogged_computations & 36.0107233145657 & 91.561599 & 0.3933 & 0.694407 & 0.347204 \tabularnewline
compendiums_reviewed & -927.987057632086 & 689.4796 & -1.3459 & 0.17944 & 0.08972 \tabularnewline
feedback_messages_p1 & 379.17305776229 & 208.674498 & 1.8171 & 0.070301 & 0.035151 \tabularnewline
feedback_messages_p120 & 186.499782061387 & 103.883426 & 1.7953 & 0.073711 & 0.036856 \tabularnewline
totsize & -0.0980059031696559 & 0.064656 & -1.5158 & 0.13072 & 0.06536 \tabularnewline
totrevisions & -0.81286766710331 & 0.318563 & -2.5517 & 0.011264 & 0.005632 \tabularnewline
totseconds & 0.857817088206086 & 0.070793 & 12.1173 & 0 & 0 \tabularnewline
tothyperlinks & 101.838542010251 & 436.707055 & 0.2332 & 0.815783 & 0.407891 \tabularnewline
totblogs & -90.4391414594478 & 452.620714 & -0.1998 & 0.841776 & 0.420888 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159830&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]-5425.45816532429[/C][C]3505.518477[/C][C]-1.5477[/C][C]0.122851[/C][C]0.061425[/C][/ROW]
[ROW][C]pageviews[/C][C]6.16687838238534[/C][C]8.079518[/C][C]0.7633[/C][C]0.445957[/C][C]0.222979[/C][/ROW]
[ROW][C]logins[/C][C]172.083546617996[/C][C]60.87134[/C][C]2.827[/C][C]0.005045[/C][C]0.002522[/C][/ROW]
[ROW][C]compendium_views_info[/C][C]111.546734729441[/C][C]17.300366[/C][C]6.4477[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]compendium_views_pr[/C][C]14.5692916219649[/C][C]33.092253[/C][C]0.4403[/C][C]0.660094[/C][C]0.330047[/C][/ROW]
[ROW][C]shared_compendiums[/C][C]-215.734405888975[/C][C]549.046011[/C][C]-0.3929[/C][C]0.69468[/C][C]0.34734[/C][/ROW]
[ROW][C]blogged_computations[/C][C]36.0107233145657[/C][C]91.561599[/C][C]0.3933[/C][C]0.694407[/C][C]0.347204[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]-927.987057632086[/C][C]689.4796[/C][C]-1.3459[/C][C]0.17944[/C][C]0.08972[/C][/ROW]
[ROW][C]feedback_messages_p1[/C][C]379.17305776229[/C][C]208.674498[/C][C]1.8171[/C][C]0.070301[/C][C]0.035151[/C][/ROW]
[ROW][C]feedback_messages_p120[/C][C]186.499782061387[/C][C]103.883426[/C][C]1.7953[/C][C]0.073711[/C][C]0.036856[/C][/ROW]
[ROW][C]totsize[/C][C]-0.0980059031696559[/C][C]0.064656[/C][C]-1.5158[/C][C]0.13072[/C][C]0.06536[/C][/ROW]
[ROW][C]totrevisions[/C][C]-0.81286766710331[/C][C]0.318563[/C][C]-2.5517[/C][C]0.011264[/C][C]0.005632[/C][/ROW]
[ROW][C]totseconds[/C][C]0.857817088206086[/C][C]0.070793[/C][C]12.1173[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]tothyperlinks[/C][C]101.838542010251[/C][C]436.707055[/C][C]0.2332[/C][C]0.815783[/C][C]0.407891[/C][/ROW]
[ROW][C]totblogs[/C][C]-90.4391414594478[/C][C]452.620714[/C][C]-0.1998[/C][C]0.841776[/C][C]0.420888[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159830&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159830&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)-5425.458165324293505.518477-1.54770.1228510.061425
pageviews6.166878382385348.0795180.76330.4459570.222979
logins172.08354661799660.871342.8270.0050450.002522
compendium_views_info111.54673472944117.3003666.447700
compendium_views_pr14.569291621964933.0922530.44030.6600940.330047
shared_compendiums-215.734405888975549.046011-0.39290.694680.34734
blogged_computations36.010723314565791.5615990.39330.6944070.347204
compendiums_reviewed-927.987057632086689.4796-1.34590.179440.08972
feedback_messages_p1379.17305776229208.6744981.81710.0703010.035151
feedback_messages_p120186.499782061387103.8834261.79530.0737110.036856
totsize-0.09800590316965590.064656-1.51580.130720.06536
totrevisions-0.812867667103310.318563-2.55170.0112640.005632
totseconds0.8578170882060860.07079312.117300
tothyperlinks101.838542010251436.7070550.23320.8157830.407891
totblogs-90.4391414594478452.620714-0.19980.8417760.420888







Multiple Linear Regression - Regression Statistics
Multiple R0.966916088048207
R-squared0.934926721326447
Adjusted R-squared0.931601809277433
F-TEST (value)281.188406653884
F-TEST (DF numerator)14
F-TEST (DF denominator)274
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation21534.2640963414
Sum Squared Residuals127060521266.848

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.966916088048207 \tabularnewline
R-squared & 0.934926721326447 \tabularnewline
Adjusted R-squared & 0.931601809277433 \tabularnewline
F-TEST (value) & 281.188406653884 \tabularnewline
F-TEST (DF numerator) & 14 \tabularnewline
F-TEST (DF denominator) & 274 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 21534.2640963414 \tabularnewline
Sum Squared Residuals & 127060521266.848 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159830&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.966916088048207[/C][/ROW]
[ROW][C]R-squared[/C][C]0.934926721326447[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.931601809277433[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]281.188406653884[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]14[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]274[/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]21534.2640963414[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]127060521266.848[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159830&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159830&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 R0.966916088048207
R-squared0.934926721326447
Adjusted R-squared0.931601809277433
F-TEST (value)281.188406653884
F-TEST (DF numerator)14
F-TEST (DF denominator)274
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation21534.2640963414
Sum Squared Residuals127060521266.848







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1210907190171.28260000620735.7173999941
2120982141852.593793665-20870.5937936651
3176508168779.8223843827728.17761561769
4179321220581.37167892-41260.3716789203
5123185112102.88424471411082.115755286
65274667605.9716197737-14859.9716197737
7385534371216.3931487714317.6068512296
83317028266.67630165284903.32369834724
910164582531.801355425219113.1986445748
10149061167332.804797951-18271.804797951
11165446148156.56901788517289.4309821147
12237213240368.225158238-3155.22515823844
13173326167725.3806303065600.61936969375
14133131136880.440418334-3749.44041833404
15258873218560.66065029640312.3393497038
16180083173098.7071141696984.29288583081
17324799368434.65146353-43635.6514635303
18230964206780.77539796724183.2246020326
19236785229335.8640974217449.13590257916
20135473134011.2976334681461.70236653238
21202925196723.0515228196201.94847718105
22215147199643.1942258715503.8057741303
23344297257213.75142221287083.2485777881
24153935146606.5592350937328.44076490713
25132943155168.442577369-22225.4425773694
26174724226670.004822694-51946.0048226943
27174415212576.492555385-38161.4925553851
28225548255591.019597157-30043.0195971567
29223632206416.14065177717215.8593482232
30124817129405.612602995-4588.61260299537
31221698267939.299837454-46241.2998374544
32210767219074.574324227-8307.5743242271
33170266175938.309497532-5672.30949753236
34260561255232.4000996035328.5999003966
358485385888.4985683067-1035.49856830676
36294424291273.6206348733150.37936512687
3710101196683.18985083164327.81014916837
38215641208235.0362209197405.9637790813
39325107288572.15676711236534.843232888
4071767494.94978866396-318.949788663965
41167542157877.0604460369664.93955396448
4210640884165.079025640722242.9209743593
4396560109041.08754378-12481.0875437797
44265769269962.881946164-4193.88194616432
45269651279534.976801825-9883.97680182546
46149112150311.347170586-1199.34717058648
47175824189742.487238263-13918.4872382629
48152871169985.640550177-17114.6405501773
49111665101985.9283608059679.07163919487
50116408169036.818813011-52628.8188130108
51362301322449.26193543939851.7380645609
5278800104086.451099994-25286.4510999936
53183167188078.951586821-4911.95158682087
54277965322512.840230657-44547.8402306566
55150629188910.578040795-38281.5780407955
56168809192168.293486518-23359.2934865181
572418839019.6899034268-14831.6899034268
58329267296135.11670244633131.8832975537
596502966257.601349034-1228.60134903395
60101097111510.249311831-10413.2493118308
61218946210307.4991938748638.50080612633
62244052241141.6108553772910.38914462255
63341570337806.223709583763.77629041997
64103597100247.851408563349.14859144018
65233328266151.613094303-32823.6130943032
66256462271148.272424185-14686.2724241852
67206161158062.45197949248098.5480205083
68311473323017.630446585-11544.6304465846
69235800263773.763644211-27973.7636442113
70177939204959.383591567-27020.3835915669
71207176195108.66940485712067.3305951428
72196553181813.77712168614739.2228783137
73174184165820.3502681198363.64973188128
74143246148502.991305952-5256.99130595171
75187559220608.916498502-33049.9164985017
76187681181464.1133408066216.88665919404
77119016134632.634625023-15616.6346250234
78182192194222.150944212-12030.150944212
797356689281.2418715874-15715.2418715874
80194979192172.6545464222806.34545357834
81167488157173.16854371510314.8314562855
82143756154152.150258463-10396.1502584627
83275541205118.11367829170422.8863217094
84243199227132.24665661816066.7533433822
85182999184178.618481391-1179.61848139133
86135649141494.206625029-5845.2066250291
87152299150780.5523683721518.44763162806
88120221133485.569697443-13264.5696974434
89346485271612.48265388474872.5173461161
90145790164722.612450162-18932.6124501621
91193339155712.22993864737626.7700613531
9280953100079.680125633-19126.680125633
93122774136416.214055389-13642.2140553885
94130585111551.6491662619033.3508337399
95112611103166.1343706949444.86562930641
96286468277093.0852122379374.91478776292
97241066223374.58798029717691.4120197033
98148446200369.786784006-51923.786784006
99204713186647.63377367518065.3662263252
100182079175085.4577063466993.54229365398
101140344143134.306001267-2790.30600126664
102220516216154.3189554894361.68104451051
103243060210247.38457620132812.615423799
104162765150280.3739306712484.6260693302
105182613176261.7275849416351.27241505851
106232138234672.065729664-2534.06572966366
107265318295351.140357462-30033.1403574623
1088557486888.5085653592-1314.50856535917
109310839300427.83736123410411.1626387657
110225060199954.55151755825105.4484824422
111232317248748.903883972-16431.903883972
112144966152505.859994683-7539.85999468342
1134328753111.5991421776-9824.59914217762
114155754151651.7935903634102.20640963665
115164709179311.06851459-14602.0685145902
116201940211316.456699234-9376.45669923403
117235454229521.8575628245932.14243717642
118220801186000.78258745134800.2174125493
11999466161418.056135503-61952.0561355032
12092661101469.84253618-8808.84253618021
121133328132484.757733785843.242266214705
1226136189588.6264728421-28227.6264728421
123125930154955.893266738-29025.8932667384
124100750139124.798098781-38374.7980987805
125224549199560.90356750924988.096432491
1268231673493.45431438822.54568569997
12710201095516.68944536246493.31055463761
128101523100465.128979251057.8710207497
129243511196192.75752909347318.2424709073
1302293820348.05876204052589.94123795954
1314156641353.0037562456212.996243754446
132152474165835.199650394-13361.1996503937
1336185747501.065755627614355.9342443724
13499923137498.452927683-37575.4529276832
135132487137412.584369219-4925.58436921858
136317394323319.704145597-5925.70414559722
1372105421540.9833031603-486.983303160269
138209641197150.55799182412490.4420081765
1392264834177.3596721591-11529.3596721591
1403141434729.0428481768-3315.04284817682
1414669865001.4121643379-18303.4121643379
142131698143171.19906159-11473.1990615904
1439173576949.582235982614785.4177640174
144244749277751.127359834-33002.1273598335
145184510153522.88881543230987.1111845678
1467986387448.584299771-7585.58429977103
147128423102609.43019428525813.5698057153
14897839112909.134474546-15070.1344745456
1493821452561.8611945978-14347.8611945978
150151101146155.4218952914945.57810470906
151272458248214.05930664924243.9406933505
152172494177928.006861062-5434.00686106233
153108043114321.863121285-6278.86312128494
154328107329583.454539129-1476.45453912911
155250579281372.202562033-30793.2025620328
156351067333181.82705788517885.172942115
157158015155337.8964716142677.10352838559
1589886686928.654719098411937.3452809016
15985439110215.247352533-24776.2473525333
160229242218584.41263091810657.5873690817
161351619352172.915226289-553.91522628889
1628420773245.393064594610961.6069354054
163120445122219.186465267-1774.18646526708
164324598302894.62306548921703.3769345108
165131069144706.436195058-13637.4361950582
166204271188736.47350755515534.526492445
167165543178227.449962473-12684.4499624726
168141722117121.97701419224600.0229858083
169116048113928.0365996572119.9634003426
170250047176852.84322208173194.1567779191
171299775290296.1099183969478.89008160385
172195838185020.7386095410817.2613904598
173173260127909.34742837245350.6525716279
174254488223256.32620850631231.6737914945
175104389142216.757807142-37827.7578071417
176136084138898.510484008-2814.51048400846
177199476224232.565462734-24756.5654627342
1789249979887.928217849512611.0717821505
179224330222877.2058649681452.7941350321
180135781108402.90586108527378.0941389155
1817440885753.0777010734-11345.0777010734
18281240103858.510094295-22618.5100942949
1831468811807.7914891682880.208510832
184181633168589.59462274313043.4053772566
185271856271257.819977737598.180022262698
18671997969.44545170575-770.445451705752
1874666050131.509806533-3471.509806533
188175479447.908125730368099.09187426964
189133368138539.096989416-5171.09698941645
1909522763954.254810238931272.7451897611
191152601106750.17292187445850.827078126
1929814696660.81641981451485.18358018553
1937961989616.5365953274-9997.53659532735
1945919473741.1299004718-14547.1299004718
195139942160659.492737989-20717.4927379895
196118612107277.65368631911334.346313681
1977288087078.564085737-14198.564085737
1986547562052.44668251723422.55331748282
19999643121617.044438816-21974.0444388159
2007196568944.78947792613020.21052207393
2017727271829.67460614725442.32539385277
2024928942392.99968422036896.00031577966
203135131112211.48200634822919.5179936517
204108446112800.684208649-4354.68420864853
20589746112935.818071344-23189.8180713437
2064429648027.7557651532-3731.75576515316
2077764873725.30075614843922.69924385155
208181528148412.62350919333115.3764908065
209134019110999.45390380423019.5460961962
210124064127215.302486324-3151.30248632435
2119263092914.7676421765-284.767642176545
21212184890650.146281610331197.8537183897
2135291552216.1477076885698.852292311479
2148187284231.2934742549-2359.29347425494
2155898174866.3047178073-15885.3047178073
2165351567811.1313724612-14296.1313724612
2176081290459.3645267469-29647.3645267469
2185637563330.8196811341-6955.81968113415
2196549071406.1217906418-5916.12179064184
2208094966056.692721454314892.3072785457
2217630292813.687063826-16511.687063826
222104011147728.014317057-43717.0143170568
22398104138582.901406988-40478.9014069883
2246798971855.9713192894-3866.97131928939
2253098929700.3045621021288.69543789803
226135458132915.4352935242542.56470647616
2277350461220.932797409112283.0672025909
2286312379649.6041854531-16526.6041854531
2296125467038.0900109337-5784.09001093367
2307491497366.3899615209-22452.3899615209
2313177442208.0323636357-10434.0323636357
2328143786658.2565983318-5221.25659833181
23387186133733.14781038-46547.1478103797
2345009056031.7574516839-5941.75745168386
2356574579382.5101145518-13637.5101145518
2365665355326.86111363721326.13888636283
237158399108826.71440784849572.2855921517
2384645558553.4370851869-12098.4370851869
2397362485121.2689243022-11497.2689243022
2403839550821.8357674719-12426.8357674719
2419189986427.8461137625471.15388623798
242139526135442.3103414874083.68965851286
2435216459021.7158166762-6857.71581667616
2445156752988.3917586113-1421.39175861125
2457055177248.8841675136-6697.88416751358
2468485693828.0841450037-8972.08414500371
247102538118537.680254446-15999.6802544462
2488667878986.32284337487691.67715662516
2498570973294.992403381912414.0075966181
2503466243561.2195355252-8899.21953552521
251150580146237.7690553194342.23094468098
2529961196785.08544299582825.91455700419
2531934913204.59685420056144.40314579947
2549937394098.12059174255274.87940825751
25586230100939.918877433-14709.9188774333
2563083725868.79948476894968.20051523109
2573170639359.6349129452-7653.63491294518
2588980669218.095053191320587.9049468087
2596208851199.106484622210888.8935153778
2604015138534.7009522861616.299047714
2612763435473.9533439318-7839.9533439318
2627699075582.03485270841407.96514729157
2633746022419.345727357815040.6542726422
2645415752823.92343430341333.07656569658
2654986255504.330152623-5642.330152623
2668433780569.45069042123767.54930957877
2676417577006.1644771395-12831.1644771395
2685938258102.89307736071279.10692263925
26911930885425.871370617633882.1286293823
2707670283319.8558581501-6617.85585815006
271103425104061.889011442-636.889011441718
2727034467337.70613724833006.29386275173
2734341036899.32417544926510.67582455085
27410483899406.04998278235431.95001721771
2756221552294.08039022639920.91960977375
2766930469386.5328271284-82.5328271284065
2775311733207.638676570719909.3613234293
2781976415209.63468230964554.36531769036
2798668094014.4501289649-7334.45012896491
2808410571242.634696226212862.3653037738
2817794575032.42414105012912.57585894993
2828911358066.578306284831046.4216937152
2839100579449.13557107411555.864428926
2844024828528.799329037711719.2006709623
2856418758533.05151312485653.94848687523
2865085745132.05154270965724.94845729042
2875661348278.91051561058334.08948438946
2886279266690.8526609124-3898.85266091244
2897253581895.2091798631-9360.20917986314

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 210907 & 190171.282600006 & 20735.7173999941 \tabularnewline
2 & 120982 & 141852.593793665 & -20870.5937936651 \tabularnewline
3 & 176508 & 168779.822384382 & 7728.17761561769 \tabularnewline
4 & 179321 & 220581.37167892 & -41260.3716789203 \tabularnewline
5 & 123185 & 112102.884244714 & 11082.115755286 \tabularnewline
6 & 52746 & 67605.9716197737 & -14859.9716197737 \tabularnewline
7 & 385534 & 371216.39314877 & 14317.6068512296 \tabularnewline
8 & 33170 & 28266.6763016528 & 4903.32369834724 \tabularnewline
9 & 101645 & 82531.8013554252 & 19113.1986445748 \tabularnewline
10 & 149061 & 167332.804797951 & -18271.804797951 \tabularnewline
11 & 165446 & 148156.569017885 & 17289.4309821147 \tabularnewline
12 & 237213 & 240368.225158238 & -3155.22515823844 \tabularnewline
13 & 173326 & 167725.380630306 & 5600.61936969375 \tabularnewline
14 & 133131 & 136880.440418334 & -3749.44041833404 \tabularnewline
15 & 258873 & 218560.660650296 & 40312.3393497038 \tabularnewline
16 & 180083 & 173098.707114169 & 6984.29288583081 \tabularnewline
17 & 324799 & 368434.65146353 & -43635.6514635303 \tabularnewline
18 & 230964 & 206780.775397967 & 24183.2246020326 \tabularnewline
19 & 236785 & 229335.864097421 & 7449.13590257916 \tabularnewline
20 & 135473 & 134011.297633468 & 1461.70236653238 \tabularnewline
21 & 202925 & 196723.051522819 & 6201.94847718105 \tabularnewline
22 & 215147 & 199643.19422587 & 15503.8057741303 \tabularnewline
23 & 344297 & 257213.751422212 & 87083.2485777881 \tabularnewline
24 & 153935 & 146606.559235093 & 7328.44076490713 \tabularnewline
25 & 132943 & 155168.442577369 & -22225.4425773694 \tabularnewline
26 & 174724 & 226670.004822694 & -51946.0048226943 \tabularnewline
27 & 174415 & 212576.492555385 & -38161.4925553851 \tabularnewline
28 & 225548 & 255591.019597157 & -30043.0195971567 \tabularnewline
29 & 223632 & 206416.140651777 & 17215.8593482232 \tabularnewline
30 & 124817 & 129405.612602995 & -4588.61260299537 \tabularnewline
31 & 221698 & 267939.299837454 & -46241.2998374544 \tabularnewline
32 & 210767 & 219074.574324227 & -8307.5743242271 \tabularnewline
33 & 170266 & 175938.309497532 & -5672.30949753236 \tabularnewline
34 & 260561 & 255232.400099603 & 5328.5999003966 \tabularnewline
35 & 84853 & 85888.4985683067 & -1035.49856830676 \tabularnewline
36 & 294424 & 291273.620634873 & 3150.37936512687 \tabularnewline
37 & 101011 & 96683.1898508316 & 4327.81014916837 \tabularnewline
38 & 215641 & 208235.036220919 & 7405.9637790813 \tabularnewline
39 & 325107 & 288572.156767112 & 36534.843232888 \tabularnewline
40 & 7176 & 7494.94978866396 & -318.949788663965 \tabularnewline
41 & 167542 & 157877.060446036 & 9664.93955396448 \tabularnewline
42 & 106408 & 84165.0790256407 & 22242.9209743593 \tabularnewline
43 & 96560 & 109041.08754378 & -12481.0875437797 \tabularnewline
44 & 265769 & 269962.881946164 & -4193.88194616432 \tabularnewline
45 & 269651 & 279534.976801825 & -9883.97680182546 \tabularnewline
46 & 149112 & 150311.347170586 & -1199.34717058648 \tabularnewline
47 & 175824 & 189742.487238263 & -13918.4872382629 \tabularnewline
48 & 152871 & 169985.640550177 & -17114.6405501773 \tabularnewline
49 & 111665 & 101985.928360805 & 9679.07163919487 \tabularnewline
50 & 116408 & 169036.818813011 & -52628.8188130108 \tabularnewline
51 & 362301 & 322449.261935439 & 39851.7380645609 \tabularnewline
52 & 78800 & 104086.451099994 & -25286.4510999936 \tabularnewline
53 & 183167 & 188078.951586821 & -4911.95158682087 \tabularnewline
54 & 277965 & 322512.840230657 & -44547.8402306566 \tabularnewline
55 & 150629 & 188910.578040795 & -38281.5780407955 \tabularnewline
56 & 168809 & 192168.293486518 & -23359.2934865181 \tabularnewline
57 & 24188 & 39019.6899034268 & -14831.6899034268 \tabularnewline
58 & 329267 & 296135.116702446 & 33131.8832975537 \tabularnewline
59 & 65029 & 66257.601349034 & -1228.60134903395 \tabularnewline
60 & 101097 & 111510.249311831 & -10413.2493118308 \tabularnewline
61 & 218946 & 210307.499193874 & 8638.50080612633 \tabularnewline
62 & 244052 & 241141.610855377 & 2910.38914462255 \tabularnewline
63 & 341570 & 337806.22370958 & 3763.77629041997 \tabularnewline
64 & 103597 & 100247.85140856 & 3349.14859144018 \tabularnewline
65 & 233328 & 266151.613094303 & -32823.6130943032 \tabularnewline
66 & 256462 & 271148.272424185 & -14686.2724241852 \tabularnewline
67 & 206161 & 158062.451979492 & 48098.5480205083 \tabularnewline
68 & 311473 & 323017.630446585 & -11544.6304465846 \tabularnewline
69 & 235800 & 263773.763644211 & -27973.7636442113 \tabularnewline
70 & 177939 & 204959.383591567 & -27020.3835915669 \tabularnewline
71 & 207176 & 195108.669404857 & 12067.3305951428 \tabularnewline
72 & 196553 & 181813.777121686 & 14739.2228783137 \tabularnewline
73 & 174184 & 165820.350268119 & 8363.64973188128 \tabularnewline
74 & 143246 & 148502.991305952 & -5256.99130595171 \tabularnewline
75 & 187559 & 220608.916498502 & -33049.9164985017 \tabularnewline
76 & 187681 & 181464.113340806 & 6216.88665919404 \tabularnewline
77 & 119016 & 134632.634625023 & -15616.6346250234 \tabularnewline
78 & 182192 & 194222.150944212 & -12030.150944212 \tabularnewline
79 & 73566 & 89281.2418715874 & -15715.2418715874 \tabularnewline
80 & 194979 & 192172.654546422 & 2806.34545357834 \tabularnewline
81 & 167488 & 157173.168543715 & 10314.8314562855 \tabularnewline
82 & 143756 & 154152.150258463 & -10396.1502584627 \tabularnewline
83 & 275541 & 205118.113678291 & 70422.8863217094 \tabularnewline
84 & 243199 & 227132.246656618 & 16066.7533433822 \tabularnewline
85 & 182999 & 184178.618481391 & -1179.61848139133 \tabularnewline
86 & 135649 & 141494.206625029 & -5845.2066250291 \tabularnewline
87 & 152299 & 150780.552368372 & 1518.44763162806 \tabularnewline
88 & 120221 & 133485.569697443 & -13264.5696974434 \tabularnewline
89 & 346485 & 271612.482653884 & 74872.5173461161 \tabularnewline
90 & 145790 & 164722.612450162 & -18932.6124501621 \tabularnewline
91 & 193339 & 155712.229938647 & 37626.7700613531 \tabularnewline
92 & 80953 & 100079.680125633 & -19126.680125633 \tabularnewline
93 & 122774 & 136416.214055389 & -13642.2140553885 \tabularnewline
94 & 130585 & 111551.64916626 & 19033.3508337399 \tabularnewline
95 & 112611 & 103166.134370694 & 9444.86562930641 \tabularnewline
96 & 286468 & 277093.085212237 & 9374.91478776292 \tabularnewline
97 & 241066 & 223374.587980297 & 17691.4120197033 \tabularnewline
98 & 148446 & 200369.786784006 & -51923.786784006 \tabularnewline
99 & 204713 & 186647.633773675 & 18065.3662263252 \tabularnewline
100 & 182079 & 175085.457706346 & 6993.54229365398 \tabularnewline
101 & 140344 & 143134.306001267 & -2790.30600126664 \tabularnewline
102 & 220516 & 216154.318955489 & 4361.68104451051 \tabularnewline
103 & 243060 & 210247.384576201 & 32812.615423799 \tabularnewline
104 & 162765 & 150280.37393067 & 12484.6260693302 \tabularnewline
105 & 182613 & 176261.727584941 & 6351.27241505851 \tabularnewline
106 & 232138 & 234672.065729664 & -2534.06572966366 \tabularnewline
107 & 265318 & 295351.140357462 & -30033.1403574623 \tabularnewline
108 & 85574 & 86888.5085653592 & -1314.50856535917 \tabularnewline
109 & 310839 & 300427.837361234 & 10411.1626387657 \tabularnewline
110 & 225060 & 199954.551517558 & 25105.4484824422 \tabularnewline
111 & 232317 & 248748.903883972 & -16431.903883972 \tabularnewline
112 & 144966 & 152505.859994683 & -7539.85999468342 \tabularnewline
113 & 43287 & 53111.5991421776 & -9824.59914217762 \tabularnewline
114 & 155754 & 151651.793590363 & 4102.20640963665 \tabularnewline
115 & 164709 & 179311.06851459 & -14602.0685145902 \tabularnewline
116 & 201940 & 211316.456699234 & -9376.45669923403 \tabularnewline
117 & 235454 & 229521.857562824 & 5932.14243717642 \tabularnewline
118 & 220801 & 186000.782587451 & 34800.2174125493 \tabularnewline
119 & 99466 & 161418.056135503 & -61952.0561355032 \tabularnewline
120 & 92661 & 101469.84253618 & -8808.84253618021 \tabularnewline
121 & 133328 & 132484.757733785 & 843.242266214705 \tabularnewline
122 & 61361 & 89588.6264728421 & -28227.6264728421 \tabularnewline
123 & 125930 & 154955.893266738 & -29025.8932667384 \tabularnewline
124 & 100750 & 139124.798098781 & -38374.7980987805 \tabularnewline
125 & 224549 & 199560.903567509 & 24988.096432491 \tabularnewline
126 & 82316 & 73493.4543143 & 8822.54568569997 \tabularnewline
127 & 102010 & 95516.6894453624 & 6493.31055463761 \tabularnewline
128 & 101523 & 100465.12897925 & 1057.8710207497 \tabularnewline
129 & 243511 & 196192.757529093 & 47318.2424709073 \tabularnewline
130 & 22938 & 20348.0587620405 & 2589.94123795954 \tabularnewline
131 & 41566 & 41353.0037562456 & 212.996243754446 \tabularnewline
132 & 152474 & 165835.199650394 & -13361.1996503937 \tabularnewline
133 & 61857 & 47501.0657556276 & 14355.9342443724 \tabularnewline
134 & 99923 & 137498.452927683 & -37575.4529276832 \tabularnewline
135 & 132487 & 137412.584369219 & -4925.58436921858 \tabularnewline
136 & 317394 & 323319.704145597 & -5925.70414559722 \tabularnewline
137 & 21054 & 21540.9833031603 & -486.983303160269 \tabularnewline
138 & 209641 & 197150.557991824 & 12490.4420081765 \tabularnewline
139 & 22648 & 34177.3596721591 & -11529.3596721591 \tabularnewline
140 & 31414 & 34729.0428481768 & -3315.04284817682 \tabularnewline
141 & 46698 & 65001.4121643379 & -18303.4121643379 \tabularnewline
142 & 131698 & 143171.19906159 & -11473.1990615904 \tabularnewline
143 & 91735 & 76949.5822359826 & 14785.4177640174 \tabularnewline
144 & 244749 & 277751.127359834 & -33002.1273598335 \tabularnewline
145 & 184510 & 153522.888815432 & 30987.1111845678 \tabularnewline
146 & 79863 & 87448.584299771 & -7585.58429977103 \tabularnewline
147 & 128423 & 102609.430194285 & 25813.5698057153 \tabularnewline
148 & 97839 & 112909.134474546 & -15070.1344745456 \tabularnewline
149 & 38214 & 52561.8611945978 & -14347.8611945978 \tabularnewline
150 & 151101 & 146155.421895291 & 4945.57810470906 \tabularnewline
151 & 272458 & 248214.059306649 & 24243.9406933505 \tabularnewline
152 & 172494 & 177928.006861062 & -5434.00686106233 \tabularnewline
153 & 108043 & 114321.863121285 & -6278.86312128494 \tabularnewline
154 & 328107 & 329583.454539129 & -1476.45453912911 \tabularnewline
155 & 250579 & 281372.202562033 & -30793.2025620328 \tabularnewline
156 & 351067 & 333181.827057885 & 17885.172942115 \tabularnewline
157 & 158015 & 155337.896471614 & 2677.10352838559 \tabularnewline
158 & 98866 & 86928.6547190984 & 11937.3452809016 \tabularnewline
159 & 85439 & 110215.247352533 & -24776.2473525333 \tabularnewline
160 & 229242 & 218584.412630918 & 10657.5873690817 \tabularnewline
161 & 351619 & 352172.915226289 & -553.91522628889 \tabularnewline
162 & 84207 & 73245.3930645946 & 10961.6069354054 \tabularnewline
163 & 120445 & 122219.186465267 & -1774.18646526708 \tabularnewline
164 & 324598 & 302894.623065489 & 21703.3769345108 \tabularnewline
165 & 131069 & 144706.436195058 & -13637.4361950582 \tabularnewline
166 & 204271 & 188736.473507555 & 15534.526492445 \tabularnewline
167 & 165543 & 178227.449962473 & -12684.4499624726 \tabularnewline
168 & 141722 & 117121.977014192 & 24600.0229858083 \tabularnewline
169 & 116048 & 113928.036599657 & 2119.9634003426 \tabularnewline
170 & 250047 & 176852.843222081 & 73194.1567779191 \tabularnewline
171 & 299775 & 290296.109918396 & 9478.89008160385 \tabularnewline
172 & 195838 & 185020.73860954 & 10817.2613904598 \tabularnewline
173 & 173260 & 127909.347428372 & 45350.6525716279 \tabularnewline
174 & 254488 & 223256.326208506 & 31231.6737914945 \tabularnewline
175 & 104389 & 142216.757807142 & -37827.7578071417 \tabularnewline
176 & 136084 & 138898.510484008 & -2814.51048400846 \tabularnewline
177 & 199476 & 224232.565462734 & -24756.5654627342 \tabularnewline
178 & 92499 & 79887.9282178495 & 12611.0717821505 \tabularnewline
179 & 224330 & 222877.205864968 & 1452.7941350321 \tabularnewline
180 & 135781 & 108402.905861085 & 27378.0941389155 \tabularnewline
181 & 74408 & 85753.0777010734 & -11345.0777010734 \tabularnewline
182 & 81240 & 103858.510094295 & -22618.5100942949 \tabularnewline
183 & 14688 & 11807.791489168 & 2880.208510832 \tabularnewline
184 & 181633 & 168589.594622743 & 13043.4053772566 \tabularnewline
185 & 271856 & 271257.819977737 & 598.180022262698 \tabularnewline
186 & 7199 & 7969.44545170575 & -770.445451705752 \tabularnewline
187 & 46660 & 50131.509806533 & -3471.509806533 \tabularnewline
188 & 17547 & 9447.90812573036 & 8099.09187426964 \tabularnewline
189 & 133368 & 138539.096989416 & -5171.09698941645 \tabularnewline
190 & 95227 & 63954.2548102389 & 31272.7451897611 \tabularnewline
191 & 152601 & 106750.172921874 & 45850.827078126 \tabularnewline
192 & 98146 & 96660.8164198145 & 1485.18358018553 \tabularnewline
193 & 79619 & 89616.5365953274 & -9997.53659532735 \tabularnewline
194 & 59194 & 73741.1299004718 & -14547.1299004718 \tabularnewline
195 & 139942 & 160659.492737989 & -20717.4927379895 \tabularnewline
196 & 118612 & 107277.653686319 & 11334.346313681 \tabularnewline
197 & 72880 & 87078.564085737 & -14198.564085737 \tabularnewline
198 & 65475 & 62052.4466825172 & 3422.55331748282 \tabularnewline
199 & 99643 & 121617.044438816 & -21974.0444388159 \tabularnewline
200 & 71965 & 68944.7894779261 & 3020.21052207393 \tabularnewline
201 & 77272 & 71829.6746061472 & 5442.32539385277 \tabularnewline
202 & 49289 & 42392.9996842203 & 6896.00031577966 \tabularnewline
203 & 135131 & 112211.482006348 & 22919.5179936517 \tabularnewline
204 & 108446 & 112800.684208649 & -4354.68420864853 \tabularnewline
205 & 89746 & 112935.818071344 & -23189.8180713437 \tabularnewline
206 & 44296 & 48027.7557651532 & -3731.75576515316 \tabularnewline
207 & 77648 & 73725.3007561484 & 3922.69924385155 \tabularnewline
208 & 181528 & 148412.623509193 & 33115.3764908065 \tabularnewline
209 & 134019 & 110999.453903804 & 23019.5460961962 \tabularnewline
210 & 124064 & 127215.302486324 & -3151.30248632435 \tabularnewline
211 & 92630 & 92914.7676421765 & -284.767642176545 \tabularnewline
212 & 121848 & 90650.1462816103 & 31197.8537183897 \tabularnewline
213 & 52915 & 52216.1477076885 & 698.852292311479 \tabularnewline
214 & 81872 & 84231.2934742549 & -2359.29347425494 \tabularnewline
215 & 58981 & 74866.3047178073 & -15885.3047178073 \tabularnewline
216 & 53515 & 67811.1313724612 & -14296.1313724612 \tabularnewline
217 & 60812 & 90459.3645267469 & -29647.3645267469 \tabularnewline
218 & 56375 & 63330.8196811341 & -6955.81968113415 \tabularnewline
219 & 65490 & 71406.1217906418 & -5916.12179064184 \tabularnewline
220 & 80949 & 66056.6927214543 & 14892.3072785457 \tabularnewline
221 & 76302 & 92813.687063826 & -16511.687063826 \tabularnewline
222 & 104011 & 147728.014317057 & -43717.0143170568 \tabularnewline
223 & 98104 & 138582.901406988 & -40478.9014069883 \tabularnewline
224 & 67989 & 71855.9713192894 & -3866.97131928939 \tabularnewline
225 & 30989 & 29700.304562102 & 1288.69543789803 \tabularnewline
226 & 135458 & 132915.435293524 & 2542.56470647616 \tabularnewline
227 & 73504 & 61220.9327974091 & 12283.0672025909 \tabularnewline
228 & 63123 & 79649.6041854531 & -16526.6041854531 \tabularnewline
229 & 61254 & 67038.0900109337 & -5784.09001093367 \tabularnewline
230 & 74914 & 97366.3899615209 & -22452.3899615209 \tabularnewline
231 & 31774 & 42208.0323636357 & -10434.0323636357 \tabularnewline
232 & 81437 & 86658.2565983318 & -5221.25659833181 \tabularnewline
233 & 87186 & 133733.14781038 & -46547.1478103797 \tabularnewline
234 & 50090 & 56031.7574516839 & -5941.75745168386 \tabularnewline
235 & 65745 & 79382.5101145518 & -13637.5101145518 \tabularnewline
236 & 56653 & 55326.8611136372 & 1326.13888636283 \tabularnewline
237 & 158399 & 108826.714407848 & 49572.2855921517 \tabularnewline
238 & 46455 & 58553.4370851869 & -12098.4370851869 \tabularnewline
239 & 73624 & 85121.2689243022 & -11497.2689243022 \tabularnewline
240 & 38395 & 50821.8357674719 & -12426.8357674719 \tabularnewline
241 & 91899 & 86427.846113762 & 5471.15388623798 \tabularnewline
242 & 139526 & 135442.310341487 & 4083.68965851286 \tabularnewline
243 & 52164 & 59021.7158166762 & -6857.71581667616 \tabularnewline
244 & 51567 & 52988.3917586113 & -1421.39175861125 \tabularnewline
245 & 70551 & 77248.8841675136 & -6697.88416751358 \tabularnewline
246 & 84856 & 93828.0841450037 & -8972.08414500371 \tabularnewline
247 & 102538 & 118537.680254446 & -15999.6802544462 \tabularnewline
248 & 86678 & 78986.3228433748 & 7691.67715662516 \tabularnewline
249 & 85709 & 73294.9924033819 & 12414.0075966181 \tabularnewline
250 & 34662 & 43561.2195355252 & -8899.21953552521 \tabularnewline
251 & 150580 & 146237.769055319 & 4342.23094468098 \tabularnewline
252 & 99611 & 96785.0854429958 & 2825.91455700419 \tabularnewline
253 & 19349 & 13204.5968542005 & 6144.40314579947 \tabularnewline
254 & 99373 & 94098.1205917425 & 5274.87940825751 \tabularnewline
255 & 86230 & 100939.918877433 & -14709.9188774333 \tabularnewline
256 & 30837 & 25868.7994847689 & 4968.20051523109 \tabularnewline
257 & 31706 & 39359.6349129452 & -7653.63491294518 \tabularnewline
258 & 89806 & 69218.0950531913 & 20587.9049468087 \tabularnewline
259 & 62088 & 51199.1064846222 & 10888.8935153778 \tabularnewline
260 & 40151 & 38534.700952286 & 1616.299047714 \tabularnewline
261 & 27634 & 35473.9533439318 & -7839.9533439318 \tabularnewline
262 & 76990 & 75582.0348527084 & 1407.96514729157 \tabularnewline
263 & 37460 & 22419.3457273578 & 15040.6542726422 \tabularnewline
264 & 54157 & 52823.9234343034 & 1333.07656569658 \tabularnewline
265 & 49862 & 55504.330152623 & -5642.330152623 \tabularnewline
266 & 84337 & 80569.4506904212 & 3767.54930957877 \tabularnewline
267 & 64175 & 77006.1644771395 & -12831.1644771395 \tabularnewline
268 & 59382 & 58102.8930773607 & 1279.10692263925 \tabularnewline
269 & 119308 & 85425.8713706176 & 33882.1286293823 \tabularnewline
270 & 76702 & 83319.8558581501 & -6617.85585815006 \tabularnewline
271 & 103425 & 104061.889011442 & -636.889011441718 \tabularnewline
272 & 70344 & 67337.7061372483 & 3006.29386275173 \tabularnewline
273 & 43410 & 36899.3241754492 & 6510.67582455085 \tabularnewline
274 & 104838 & 99406.0499827823 & 5431.95001721771 \tabularnewline
275 & 62215 & 52294.0803902263 & 9920.91960977375 \tabularnewline
276 & 69304 & 69386.5328271284 & -82.5328271284065 \tabularnewline
277 & 53117 & 33207.6386765707 & 19909.3613234293 \tabularnewline
278 & 19764 & 15209.6346823096 & 4554.36531769036 \tabularnewline
279 & 86680 & 94014.4501289649 & -7334.45012896491 \tabularnewline
280 & 84105 & 71242.6346962262 & 12862.3653037738 \tabularnewline
281 & 77945 & 75032.4241410501 & 2912.57585894993 \tabularnewline
282 & 89113 & 58066.5783062848 & 31046.4216937152 \tabularnewline
283 & 91005 & 79449.135571074 & 11555.864428926 \tabularnewline
284 & 40248 & 28528.7993290377 & 11719.2006709623 \tabularnewline
285 & 64187 & 58533.0515131248 & 5653.94848687523 \tabularnewline
286 & 50857 & 45132.0515427096 & 5724.94845729042 \tabularnewline
287 & 56613 & 48278.9105156105 & 8334.08948438946 \tabularnewline
288 & 62792 & 66690.8526609124 & -3898.85266091244 \tabularnewline
289 & 72535 & 81895.2091798631 & -9360.20917986314 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159830&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]210907[/C][C]190171.282600006[/C][C]20735.7173999941[/C][/ROW]
[ROW][C]2[/C][C]120982[/C][C]141852.593793665[/C][C]-20870.5937936651[/C][/ROW]
[ROW][C]3[/C][C]176508[/C][C]168779.822384382[/C][C]7728.17761561769[/C][/ROW]
[ROW][C]4[/C][C]179321[/C][C]220581.37167892[/C][C]-41260.3716789203[/C][/ROW]
[ROW][C]5[/C][C]123185[/C][C]112102.884244714[/C][C]11082.115755286[/C][/ROW]
[ROW][C]6[/C][C]52746[/C][C]67605.9716197737[/C][C]-14859.9716197737[/C][/ROW]
[ROW][C]7[/C][C]385534[/C][C]371216.39314877[/C][C]14317.6068512296[/C][/ROW]
[ROW][C]8[/C][C]33170[/C][C]28266.6763016528[/C][C]4903.32369834724[/C][/ROW]
[ROW][C]9[/C][C]101645[/C][C]82531.8013554252[/C][C]19113.1986445748[/C][/ROW]
[ROW][C]10[/C][C]149061[/C][C]167332.804797951[/C][C]-18271.804797951[/C][/ROW]
[ROW][C]11[/C][C]165446[/C][C]148156.569017885[/C][C]17289.4309821147[/C][/ROW]
[ROW][C]12[/C][C]237213[/C][C]240368.225158238[/C][C]-3155.22515823844[/C][/ROW]
[ROW][C]13[/C][C]173326[/C][C]167725.380630306[/C][C]5600.61936969375[/C][/ROW]
[ROW][C]14[/C][C]133131[/C][C]136880.440418334[/C][C]-3749.44041833404[/C][/ROW]
[ROW][C]15[/C][C]258873[/C][C]218560.660650296[/C][C]40312.3393497038[/C][/ROW]
[ROW][C]16[/C][C]180083[/C][C]173098.707114169[/C][C]6984.29288583081[/C][/ROW]
[ROW][C]17[/C][C]324799[/C][C]368434.65146353[/C][C]-43635.6514635303[/C][/ROW]
[ROW][C]18[/C][C]230964[/C][C]206780.775397967[/C][C]24183.2246020326[/C][/ROW]
[ROW][C]19[/C][C]236785[/C][C]229335.864097421[/C][C]7449.13590257916[/C][/ROW]
[ROW][C]20[/C][C]135473[/C][C]134011.297633468[/C][C]1461.70236653238[/C][/ROW]
[ROW][C]21[/C][C]202925[/C][C]196723.051522819[/C][C]6201.94847718105[/C][/ROW]
[ROW][C]22[/C][C]215147[/C][C]199643.19422587[/C][C]15503.8057741303[/C][/ROW]
[ROW][C]23[/C][C]344297[/C][C]257213.751422212[/C][C]87083.2485777881[/C][/ROW]
[ROW][C]24[/C][C]153935[/C][C]146606.559235093[/C][C]7328.44076490713[/C][/ROW]
[ROW][C]25[/C][C]132943[/C][C]155168.442577369[/C][C]-22225.4425773694[/C][/ROW]
[ROW][C]26[/C][C]174724[/C][C]226670.004822694[/C][C]-51946.0048226943[/C][/ROW]
[ROW][C]27[/C][C]174415[/C][C]212576.492555385[/C][C]-38161.4925553851[/C][/ROW]
[ROW][C]28[/C][C]225548[/C][C]255591.019597157[/C][C]-30043.0195971567[/C][/ROW]
[ROW][C]29[/C][C]223632[/C][C]206416.140651777[/C][C]17215.8593482232[/C][/ROW]
[ROW][C]30[/C][C]124817[/C][C]129405.612602995[/C][C]-4588.61260299537[/C][/ROW]
[ROW][C]31[/C][C]221698[/C][C]267939.299837454[/C][C]-46241.2998374544[/C][/ROW]
[ROW][C]32[/C][C]210767[/C][C]219074.574324227[/C][C]-8307.5743242271[/C][/ROW]
[ROW][C]33[/C][C]170266[/C][C]175938.309497532[/C][C]-5672.30949753236[/C][/ROW]
[ROW][C]34[/C][C]260561[/C][C]255232.400099603[/C][C]5328.5999003966[/C][/ROW]
[ROW][C]35[/C][C]84853[/C][C]85888.4985683067[/C][C]-1035.49856830676[/C][/ROW]
[ROW][C]36[/C][C]294424[/C][C]291273.620634873[/C][C]3150.37936512687[/C][/ROW]
[ROW][C]37[/C][C]101011[/C][C]96683.1898508316[/C][C]4327.81014916837[/C][/ROW]
[ROW][C]38[/C][C]215641[/C][C]208235.036220919[/C][C]7405.9637790813[/C][/ROW]
[ROW][C]39[/C][C]325107[/C][C]288572.156767112[/C][C]36534.843232888[/C][/ROW]
[ROW][C]40[/C][C]7176[/C][C]7494.94978866396[/C][C]-318.949788663965[/C][/ROW]
[ROW][C]41[/C][C]167542[/C][C]157877.060446036[/C][C]9664.93955396448[/C][/ROW]
[ROW][C]42[/C][C]106408[/C][C]84165.0790256407[/C][C]22242.9209743593[/C][/ROW]
[ROW][C]43[/C][C]96560[/C][C]109041.08754378[/C][C]-12481.0875437797[/C][/ROW]
[ROW][C]44[/C][C]265769[/C][C]269962.881946164[/C][C]-4193.88194616432[/C][/ROW]
[ROW][C]45[/C][C]269651[/C][C]279534.976801825[/C][C]-9883.97680182546[/C][/ROW]
[ROW][C]46[/C][C]149112[/C][C]150311.347170586[/C][C]-1199.34717058648[/C][/ROW]
[ROW][C]47[/C][C]175824[/C][C]189742.487238263[/C][C]-13918.4872382629[/C][/ROW]
[ROW][C]48[/C][C]152871[/C][C]169985.640550177[/C][C]-17114.6405501773[/C][/ROW]
[ROW][C]49[/C][C]111665[/C][C]101985.928360805[/C][C]9679.07163919487[/C][/ROW]
[ROW][C]50[/C][C]116408[/C][C]169036.818813011[/C][C]-52628.8188130108[/C][/ROW]
[ROW][C]51[/C][C]362301[/C][C]322449.261935439[/C][C]39851.7380645609[/C][/ROW]
[ROW][C]52[/C][C]78800[/C][C]104086.451099994[/C][C]-25286.4510999936[/C][/ROW]
[ROW][C]53[/C][C]183167[/C][C]188078.951586821[/C][C]-4911.95158682087[/C][/ROW]
[ROW][C]54[/C][C]277965[/C][C]322512.840230657[/C][C]-44547.8402306566[/C][/ROW]
[ROW][C]55[/C][C]150629[/C][C]188910.578040795[/C][C]-38281.5780407955[/C][/ROW]
[ROW][C]56[/C][C]168809[/C][C]192168.293486518[/C][C]-23359.2934865181[/C][/ROW]
[ROW][C]57[/C][C]24188[/C][C]39019.6899034268[/C][C]-14831.6899034268[/C][/ROW]
[ROW][C]58[/C][C]329267[/C][C]296135.116702446[/C][C]33131.8832975537[/C][/ROW]
[ROW][C]59[/C][C]65029[/C][C]66257.601349034[/C][C]-1228.60134903395[/C][/ROW]
[ROW][C]60[/C][C]101097[/C][C]111510.249311831[/C][C]-10413.2493118308[/C][/ROW]
[ROW][C]61[/C][C]218946[/C][C]210307.499193874[/C][C]8638.50080612633[/C][/ROW]
[ROW][C]62[/C][C]244052[/C][C]241141.610855377[/C][C]2910.38914462255[/C][/ROW]
[ROW][C]63[/C][C]341570[/C][C]337806.22370958[/C][C]3763.77629041997[/C][/ROW]
[ROW][C]64[/C][C]103597[/C][C]100247.85140856[/C][C]3349.14859144018[/C][/ROW]
[ROW][C]65[/C][C]233328[/C][C]266151.613094303[/C][C]-32823.6130943032[/C][/ROW]
[ROW][C]66[/C][C]256462[/C][C]271148.272424185[/C][C]-14686.2724241852[/C][/ROW]
[ROW][C]67[/C][C]206161[/C][C]158062.451979492[/C][C]48098.5480205083[/C][/ROW]
[ROW][C]68[/C][C]311473[/C][C]323017.630446585[/C][C]-11544.6304465846[/C][/ROW]
[ROW][C]69[/C][C]235800[/C][C]263773.763644211[/C][C]-27973.7636442113[/C][/ROW]
[ROW][C]70[/C][C]177939[/C][C]204959.383591567[/C][C]-27020.3835915669[/C][/ROW]
[ROW][C]71[/C][C]207176[/C][C]195108.669404857[/C][C]12067.3305951428[/C][/ROW]
[ROW][C]72[/C][C]196553[/C][C]181813.777121686[/C][C]14739.2228783137[/C][/ROW]
[ROW][C]73[/C][C]174184[/C][C]165820.350268119[/C][C]8363.64973188128[/C][/ROW]
[ROW][C]74[/C][C]143246[/C][C]148502.991305952[/C][C]-5256.99130595171[/C][/ROW]
[ROW][C]75[/C][C]187559[/C][C]220608.916498502[/C][C]-33049.9164985017[/C][/ROW]
[ROW][C]76[/C][C]187681[/C][C]181464.113340806[/C][C]6216.88665919404[/C][/ROW]
[ROW][C]77[/C][C]119016[/C][C]134632.634625023[/C][C]-15616.6346250234[/C][/ROW]
[ROW][C]78[/C][C]182192[/C][C]194222.150944212[/C][C]-12030.150944212[/C][/ROW]
[ROW][C]79[/C][C]73566[/C][C]89281.2418715874[/C][C]-15715.2418715874[/C][/ROW]
[ROW][C]80[/C][C]194979[/C][C]192172.654546422[/C][C]2806.34545357834[/C][/ROW]
[ROW][C]81[/C][C]167488[/C][C]157173.168543715[/C][C]10314.8314562855[/C][/ROW]
[ROW][C]82[/C][C]143756[/C][C]154152.150258463[/C][C]-10396.1502584627[/C][/ROW]
[ROW][C]83[/C][C]275541[/C][C]205118.113678291[/C][C]70422.8863217094[/C][/ROW]
[ROW][C]84[/C][C]243199[/C][C]227132.246656618[/C][C]16066.7533433822[/C][/ROW]
[ROW][C]85[/C][C]182999[/C][C]184178.618481391[/C][C]-1179.61848139133[/C][/ROW]
[ROW][C]86[/C][C]135649[/C][C]141494.206625029[/C][C]-5845.2066250291[/C][/ROW]
[ROW][C]87[/C][C]152299[/C][C]150780.552368372[/C][C]1518.44763162806[/C][/ROW]
[ROW][C]88[/C][C]120221[/C][C]133485.569697443[/C][C]-13264.5696974434[/C][/ROW]
[ROW][C]89[/C][C]346485[/C][C]271612.482653884[/C][C]74872.5173461161[/C][/ROW]
[ROW][C]90[/C][C]145790[/C][C]164722.612450162[/C][C]-18932.6124501621[/C][/ROW]
[ROW][C]91[/C][C]193339[/C][C]155712.229938647[/C][C]37626.7700613531[/C][/ROW]
[ROW][C]92[/C][C]80953[/C][C]100079.680125633[/C][C]-19126.680125633[/C][/ROW]
[ROW][C]93[/C][C]122774[/C][C]136416.214055389[/C][C]-13642.2140553885[/C][/ROW]
[ROW][C]94[/C][C]130585[/C][C]111551.64916626[/C][C]19033.3508337399[/C][/ROW]
[ROW][C]95[/C][C]112611[/C][C]103166.134370694[/C][C]9444.86562930641[/C][/ROW]
[ROW][C]96[/C][C]286468[/C][C]277093.085212237[/C][C]9374.91478776292[/C][/ROW]
[ROW][C]97[/C][C]241066[/C][C]223374.587980297[/C][C]17691.4120197033[/C][/ROW]
[ROW][C]98[/C][C]148446[/C][C]200369.786784006[/C][C]-51923.786784006[/C][/ROW]
[ROW][C]99[/C][C]204713[/C][C]186647.633773675[/C][C]18065.3662263252[/C][/ROW]
[ROW][C]100[/C][C]182079[/C][C]175085.457706346[/C][C]6993.54229365398[/C][/ROW]
[ROW][C]101[/C][C]140344[/C][C]143134.306001267[/C][C]-2790.30600126664[/C][/ROW]
[ROW][C]102[/C][C]220516[/C][C]216154.318955489[/C][C]4361.68104451051[/C][/ROW]
[ROW][C]103[/C][C]243060[/C][C]210247.384576201[/C][C]32812.615423799[/C][/ROW]
[ROW][C]104[/C][C]162765[/C][C]150280.37393067[/C][C]12484.6260693302[/C][/ROW]
[ROW][C]105[/C][C]182613[/C][C]176261.727584941[/C][C]6351.27241505851[/C][/ROW]
[ROW][C]106[/C][C]232138[/C][C]234672.065729664[/C][C]-2534.06572966366[/C][/ROW]
[ROW][C]107[/C][C]265318[/C][C]295351.140357462[/C][C]-30033.1403574623[/C][/ROW]
[ROW][C]108[/C][C]85574[/C][C]86888.5085653592[/C][C]-1314.50856535917[/C][/ROW]
[ROW][C]109[/C][C]310839[/C][C]300427.837361234[/C][C]10411.1626387657[/C][/ROW]
[ROW][C]110[/C][C]225060[/C][C]199954.551517558[/C][C]25105.4484824422[/C][/ROW]
[ROW][C]111[/C][C]232317[/C][C]248748.903883972[/C][C]-16431.903883972[/C][/ROW]
[ROW][C]112[/C][C]144966[/C][C]152505.859994683[/C][C]-7539.85999468342[/C][/ROW]
[ROW][C]113[/C][C]43287[/C][C]53111.5991421776[/C][C]-9824.59914217762[/C][/ROW]
[ROW][C]114[/C][C]155754[/C][C]151651.793590363[/C][C]4102.20640963665[/C][/ROW]
[ROW][C]115[/C][C]164709[/C][C]179311.06851459[/C][C]-14602.0685145902[/C][/ROW]
[ROW][C]116[/C][C]201940[/C][C]211316.456699234[/C][C]-9376.45669923403[/C][/ROW]
[ROW][C]117[/C][C]235454[/C][C]229521.857562824[/C][C]5932.14243717642[/C][/ROW]
[ROW][C]118[/C][C]220801[/C][C]186000.782587451[/C][C]34800.2174125493[/C][/ROW]
[ROW][C]119[/C][C]99466[/C][C]161418.056135503[/C][C]-61952.0561355032[/C][/ROW]
[ROW][C]120[/C][C]92661[/C][C]101469.84253618[/C][C]-8808.84253618021[/C][/ROW]
[ROW][C]121[/C][C]133328[/C][C]132484.757733785[/C][C]843.242266214705[/C][/ROW]
[ROW][C]122[/C][C]61361[/C][C]89588.6264728421[/C][C]-28227.6264728421[/C][/ROW]
[ROW][C]123[/C][C]125930[/C][C]154955.893266738[/C][C]-29025.8932667384[/C][/ROW]
[ROW][C]124[/C][C]100750[/C][C]139124.798098781[/C][C]-38374.7980987805[/C][/ROW]
[ROW][C]125[/C][C]224549[/C][C]199560.903567509[/C][C]24988.096432491[/C][/ROW]
[ROW][C]126[/C][C]82316[/C][C]73493.4543143[/C][C]8822.54568569997[/C][/ROW]
[ROW][C]127[/C][C]102010[/C][C]95516.6894453624[/C][C]6493.31055463761[/C][/ROW]
[ROW][C]128[/C][C]101523[/C][C]100465.12897925[/C][C]1057.8710207497[/C][/ROW]
[ROW][C]129[/C][C]243511[/C][C]196192.757529093[/C][C]47318.2424709073[/C][/ROW]
[ROW][C]130[/C][C]22938[/C][C]20348.0587620405[/C][C]2589.94123795954[/C][/ROW]
[ROW][C]131[/C][C]41566[/C][C]41353.0037562456[/C][C]212.996243754446[/C][/ROW]
[ROW][C]132[/C][C]152474[/C][C]165835.199650394[/C][C]-13361.1996503937[/C][/ROW]
[ROW][C]133[/C][C]61857[/C][C]47501.0657556276[/C][C]14355.9342443724[/C][/ROW]
[ROW][C]134[/C][C]99923[/C][C]137498.452927683[/C][C]-37575.4529276832[/C][/ROW]
[ROW][C]135[/C][C]132487[/C][C]137412.584369219[/C][C]-4925.58436921858[/C][/ROW]
[ROW][C]136[/C][C]317394[/C][C]323319.704145597[/C][C]-5925.70414559722[/C][/ROW]
[ROW][C]137[/C][C]21054[/C][C]21540.9833031603[/C][C]-486.983303160269[/C][/ROW]
[ROW][C]138[/C][C]209641[/C][C]197150.557991824[/C][C]12490.4420081765[/C][/ROW]
[ROW][C]139[/C][C]22648[/C][C]34177.3596721591[/C][C]-11529.3596721591[/C][/ROW]
[ROW][C]140[/C][C]31414[/C][C]34729.0428481768[/C][C]-3315.04284817682[/C][/ROW]
[ROW][C]141[/C][C]46698[/C][C]65001.4121643379[/C][C]-18303.4121643379[/C][/ROW]
[ROW][C]142[/C][C]131698[/C][C]143171.19906159[/C][C]-11473.1990615904[/C][/ROW]
[ROW][C]143[/C][C]91735[/C][C]76949.5822359826[/C][C]14785.4177640174[/C][/ROW]
[ROW][C]144[/C][C]244749[/C][C]277751.127359834[/C][C]-33002.1273598335[/C][/ROW]
[ROW][C]145[/C][C]184510[/C][C]153522.888815432[/C][C]30987.1111845678[/C][/ROW]
[ROW][C]146[/C][C]79863[/C][C]87448.584299771[/C][C]-7585.58429977103[/C][/ROW]
[ROW][C]147[/C][C]128423[/C][C]102609.430194285[/C][C]25813.5698057153[/C][/ROW]
[ROW][C]148[/C][C]97839[/C][C]112909.134474546[/C][C]-15070.1344745456[/C][/ROW]
[ROW][C]149[/C][C]38214[/C][C]52561.8611945978[/C][C]-14347.8611945978[/C][/ROW]
[ROW][C]150[/C][C]151101[/C][C]146155.421895291[/C][C]4945.57810470906[/C][/ROW]
[ROW][C]151[/C][C]272458[/C][C]248214.059306649[/C][C]24243.9406933505[/C][/ROW]
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[ROW][C]153[/C][C]108043[/C][C]114321.863121285[/C][C]-6278.86312128494[/C][/ROW]
[ROW][C]154[/C][C]328107[/C][C]329583.454539129[/C][C]-1476.45453912911[/C][/ROW]
[ROW][C]155[/C][C]250579[/C][C]281372.202562033[/C][C]-30793.2025620328[/C][/ROW]
[ROW][C]156[/C][C]351067[/C][C]333181.827057885[/C][C]17885.172942115[/C][/ROW]
[ROW][C]157[/C][C]158015[/C][C]155337.896471614[/C][C]2677.10352838559[/C][/ROW]
[ROW][C]158[/C][C]98866[/C][C]86928.6547190984[/C][C]11937.3452809016[/C][/ROW]
[ROW][C]159[/C][C]85439[/C][C]110215.247352533[/C][C]-24776.2473525333[/C][/ROW]
[ROW][C]160[/C][C]229242[/C][C]218584.412630918[/C][C]10657.5873690817[/C][/ROW]
[ROW][C]161[/C][C]351619[/C][C]352172.915226289[/C][C]-553.91522628889[/C][/ROW]
[ROW][C]162[/C][C]84207[/C][C]73245.3930645946[/C][C]10961.6069354054[/C][/ROW]
[ROW][C]163[/C][C]120445[/C][C]122219.186465267[/C][C]-1774.18646526708[/C][/ROW]
[ROW][C]164[/C][C]324598[/C][C]302894.623065489[/C][C]21703.3769345108[/C][/ROW]
[ROW][C]165[/C][C]131069[/C][C]144706.436195058[/C][C]-13637.4361950582[/C][/ROW]
[ROW][C]166[/C][C]204271[/C][C]188736.473507555[/C][C]15534.526492445[/C][/ROW]
[ROW][C]167[/C][C]165543[/C][C]178227.449962473[/C][C]-12684.4499624726[/C][/ROW]
[ROW][C]168[/C][C]141722[/C][C]117121.977014192[/C][C]24600.0229858083[/C][/ROW]
[ROW][C]169[/C][C]116048[/C][C]113928.036599657[/C][C]2119.9634003426[/C][/ROW]
[ROW][C]170[/C][C]250047[/C][C]176852.843222081[/C][C]73194.1567779191[/C][/ROW]
[ROW][C]171[/C][C]299775[/C][C]290296.109918396[/C][C]9478.89008160385[/C][/ROW]
[ROW][C]172[/C][C]195838[/C][C]185020.73860954[/C][C]10817.2613904598[/C][/ROW]
[ROW][C]173[/C][C]173260[/C][C]127909.347428372[/C][C]45350.6525716279[/C][/ROW]
[ROW][C]174[/C][C]254488[/C][C]223256.326208506[/C][C]31231.6737914945[/C][/ROW]
[ROW][C]175[/C][C]104389[/C][C]142216.757807142[/C][C]-37827.7578071417[/C][/ROW]
[ROW][C]176[/C][C]136084[/C][C]138898.510484008[/C][C]-2814.51048400846[/C][/ROW]
[ROW][C]177[/C][C]199476[/C][C]224232.565462734[/C][C]-24756.5654627342[/C][/ROW]
[ROW][C]178[/C][C]92499[/C][C]79887.9282178495[/C][C]12611.0717821505[/C][/ROW]
[ROW][C]179[/C][C]224330[/C][C]222877.205864968[/C][C]1452.7941350321[/C][/ROW]
[ROW][C]180[/C][C]135781[/C][C]108402.905861085[/C][C]27378.0941389155[/C][/ROW]
[ROW][C]181[/C][C]74408[/C][C]85753.0777010734[/C][C]-11345.0777010734[/C][/ROW]
[ROW][C]182[/C][C]81240[/C][C]103858.510094295[/C][C]-22618.5100942949[/C][/ROW]
[ROW][C]183[/C][C]14688[/C][C]11807.791489168[/C][C]2880.208510832[/C][/ROW]
[ROW][C]184[/C][C]181633[/C][C]168589.594622743[/C][C]13043.4053772566[/C][/ROW]
[ROW][C]185[/C][C]271856[/C][C]271257.819977737[/C][C]598.180022262698[/C][/ROW]
[ROW][C]186[/C][C]7199[/C][C]7969.44545170575[/C][C]-770.445451705752[/C][/ROW]
[ROW][C]187[/C][C]46660[/C][C]50131.509806533[/C][C]-3471.509806533[/C][/ROW]
[ROW][C]188[/C][C]17547[/C][C]9447.90812573036[/C][C]8099.09187426964[/C][/ROW]
[ROW][C]189[/C][C]133368[/C][C]138539.096989416[/C][C]-5171.09698941645[/C][/ROW]
[ROW][C]190[/C][C]95227[/C][C]63954.2548102389[/C][C]31272.7451897611[/C][/ROW]
[ROW][C]191[/C][C]152601[/C][C]106750.172921874[/C][C]45850.827078126[/C][/ROW]
[ROW][C]192[/C][C]98146[/C][C]96660.8164198145[/C][C]1485.18358018553[/C][/ROW]
[ROW][C]193[/C][C]79619[/C][C]89616.5365953274[/C][C]-9997.53659532735[/C][/ROW]
[ROW][C]194[/C][C]59194[/C][C]73741.1299004718[/C][C]-14547.1299004718[/C][/ROW]
[ROW][C]195[/C][C]139942[/C][C]160659.492737989[/C][C]-20717.4927379895[/C][/ROW]
[ROW][C]196[/C][C]118612[/C][C]107277.653686319[/C][C]11334.346313681[/C][/ROW]
[ROW][C]197[/C][C]72880[/C][C]87078.564085737[/C][C]-14198.564085737[/C][/ROW]
[ROW][C]198[/C][C]65475[/C][C]62052.4466825172[/C][C]3422.55331748282[/C][/ROW]
[ROW][C]199[/C][C]99643[/C][C]121617.044438816[/C][C]-21974.0444388159[/C][/ROW]
[ROW][C]200[/C][C]71965[/C][C]68944.7894779261[/C][C]3020.21052207393[/C][/ROW]
[ROW][C]201[/C][C]77272[/C][C]71829.6746061472[/C][C]5442.32539385277[/C][/ROW]
[ROW][C]202[/C][C]49289[/C][C]42392.9996842203[/C][C]6896.00031577966[/C][/ROW]
[ROW][C]203[/C][C]135131[/C][C]112211.482006348[/C][C]22919.5179936517[/C][/ROW]
[ROW][C]204[/C][C]108446[/C][C]112800.684208649[/C][C]-4354.68420864853[/C][/ROW]
[ROW][C]205[/C][C]89746[/C][C]112935.818071344[/C][C]-23189.8180713437[/C][/ROW]
[ROW][C]206[/C][C]44296[/C][C]48027.7557651532[/C][C]-3731.75576515316[/C][/ROW]
[ROW][C]207[/C][C]77648[/C][C]73725.3007561484[/C][C]3922.69924385155[/C][/ROW]
[ROW][C]208[/C][C]181528[/C][C]148412.623509193[/C][C]33115.3764908065[/C][/ROW]
[ROW][C]209[/C][C]134019[/C][C]110999.453903804[/C][C]23019.5460961962[/C][/ROW]
[ROW][C]210[/C][C]124064[/C][C]127215.302486324[/C][C]-3151.30248632435[/C][/ROW]
[ROW][C]211[/C][C]92630[/C][C]92914.7676421765[/C][C]-284.767642176545[/C][/ROW]
[ROW][C]212[/C][C]121848[/C][C]90650.1462816103[/C][C]31197.8537183897[/C][/ROW]
[ROW][C]213[/C][C]52915[/C][C]52216.1477076885[/C][C]698.852292311479[/C][/ROW]
[ROW][C]214[/C][C]81872[/C][C]84231.2934742549[/C][C]-2359.29347425494[/C][/ROW]
[ROW][C]215[/C][C]58981[/C][C]74866.3047178073[/C][C]-15885.3047178073[/C][/ROW]
[ROW][C]216[/C][C]53515[/C][C]67811.1313724612[/C][C]-14296.1313724612[/C][/ROW]
[ROW][C]217[/C][C]60812[/C][C]90459.3645267469[/C][C]-29647.3645267469[/C][/ROW]
[ROW][C]218[/C][C]56375[/C][C]63330.8196811341[/C][C]-6955.81968113415[/C][/ROW]
[ROW][C]219[/C][C]65490[/C][C]71406.1217906418[/C][C]-5916.12179064184[/C][/ROW]
[ROW][C]220[/C][C]80949[/C][C]66056.6927214543[/C][C]14892.3072785457[/C][/ROW]
[ROW][C]221[/C][C]76302[/C][C]92813.687063826[/C][C]-16511.687063826[/C][/ROW]
[ROW][C]222[/C][C]104011[/C][C]147728.014317057[/C][C]-43717.0143170568[/C][/ROW]
[ROW][C]223[/C][C]98104[/C][C]138582.901406988[/C][C]-40478.9014069883[/C][/ROW]
[ROW][C]224[/C][C]67989[/C][C]71855.9713192894[/C][C]-3866.97131928939[/C][/ROW]
[ROW][C]225[/C][C]30989[/C][C]29700.304562102[/C][C]1288.69543789803[/C][/ROW]
[ROW][C]226[/C][C]135458[/C][C]132915.435293524[/C][C]2542.56470647616[/C][/ROW]
[ROW][C]227[/C][C]73504[/C][C]61220.9327974091[/C][C]12283.0672025909[/C][/ROW]
[ROW][C]228[/C][C]63123[/C][C]79649.6041854531[/C][C]-16526.6041854531[/C][/ROW]
[ROW][C]229[/C][C]61254[/C][C]67038.0900109337[/C][C]-5784.09001093367[/C][/ROW]
[ROW][C]230[/C][C]74914[/C][C]97366.3899615209[/C][C]-22452.3899615209[/C][/ROW]
[ROW][C]231[/C][C]31774[/C][C]42208.0323636357[/C][C]-10434.0323636357[/C][/ROW]
[ROW][C]232[/C][C]81437[/C][C]86658.2565983318[/C][C]-5221.25659833181[/C][/ROW]
[ROW][C]233[/C][C]87186[/C][C]133733.14781038[/C][C]-46547.1478103797[/C][/ROW]
[ROW][C]234[/C][C]50090[/C][C]56031.7574516839[/C][C]-5941.75745168386[/C][/ROW]
[ROW][C]235[/C][C]65745[/C][C]79382.5101145518[/C][C]-13637.5101145518[/C][/ROW]
[ROW][C]236[/C][C]56653[/C][C]55326.8611136372[/C][C]1326.13888636283[/C][/ROW]
[ROW][C]237[/C][C]158399[/C][C]108826.714407848[/C][C]49572.2855921517[/C][/ROW]
[ROW][C]238[/C][C]46455[/C][C]58553.4370851869[/C][C]-12098.4370851869[/C][/ROW]
[ROW][C]239[/C][C]73624[/C][C]85121.2689243022[/C][C]-11497.2689243022[/C][/ROW]
[ROW][C]240[/C][C]38395[/C][C]50821.8357674719[/C][C]-12426.8357674719[/C][/ROW]
[ROW][C]241[/C][C]91899[/C][C]86427.846113762[/C][C]5471.15388623798[/C][/ROW]
[ROW][C]242[/C][C]139526[/C][C]135442.310341487[/C][C]4083.68965851286[/C][/ROW]
[ROW][C]243[/C][C]52164[/C][C]59021.7158166762[/C][C]-6857.71581667616[/C][/ROW]
[ROW][C]244[/C][C]51567[/C][C]52988.3917586113[/C][C]-1421.39175861125[/C][/ROW]
[ROW][C]245[/C][C]70551[/C][C]77248.8841675136[/C][C]-6697.88416751358[/C][/ROW]
[ROW][C]246[/C][C]84856[/C][C]93828.0841450037[/C][C]-8972.08414500371[/C][/ROW]
[ROW][C]247[/C][C]102538[/C][C]118537.680254446[/C][C]-15999.6802544462[/C][/ROW]
[ROW][C]248[/C][C]86678[/C][C]78986.3228433748[/C][C]7691.67715662516[/C][/ROW]
[ROW][C]249[/C][C]85709[/C][C]73294.9924033819[/C][C]12414.0075966181[/C][/ROW]
[ROW][C]250[/C][C]34662[/C][C]43561.2195355252[/C][C]-8899.21953552521[/C][/ROW]
[ROW][C]251[/C][C]150580[/C][C]146237.769055319[/C][C]4342.23094468098[/C][/ROW]
[ROW][C]252[/C][C]99611[/C][C]96785.0854429958[/C][C]2825.91455700419[/C][/ROW]
[ROW][C]253[/C][C]19349[/C][C]13204.5968542005[/C][C]6144.40314579947[/C][/ROW]
[ROW][C]254[/C][C]99373[/C][C]94098.1205917425[/C][C]5274.87940825751[/C][/ROW]
[ROW][C]255[/C][C]86230[/C][C]100939.918877433[/C][C]-14709.9188774333[/C][/ROW]
[ROW][C]256[/C][C]30837[/C][C]25868.7994847689[/C][C]4968.20051523109[/C][/ROW]
[ROW][C]257[/C][C]31706[/C][C]39359.6349129452[/C][C]-7653.63491294518[/C][/ROW]
[ROW][C]258[/C][C]89806[/C][C]69218.0950531913[/C][C]20587.9049468087[/C][/ROW]
[ROW][C]259[/C][C]62088[/C][C]51199.1064846222[/C][C]10888.8935153778[/C][/ROW]
[ROW][C]260[/C][C]40151[/C][C]38534.700952286[/C][C]1616.299047714[/C][/ROW]
[ROW][C]261[/C][C]27634[/C][C]35473.9533439318[/C][C]-7839.9533439318[/C][/ROW]
[ROW][C]262[/C][C]76990[/C][C]75582.0348527084[/C][C]1407.96514729157[/C][/ROW]
[ROW][C]263[/C][C]37460[/C][C]22419.3457273578[/C][C]15040.6542726422[/C][/ROW]
[ROW][C]264[/C][C]54157[/C][C]52823.9234343034[/C][C]1333.07656569658[/C][/ROW]
[ROW][C]265[/C][C]49862[/C][C]55504.330152623[/C][C]-5642.330152623[/C][/ROW]
[ROW][C]266[/C][C]84337[/C][C]80569.4506904212[/C][C]3767.54930957877[/C][/ROW]
[ROW][C]267[/C][C]64175[/C][C]77006.1644771395[/C][C]-12831.1644771395[/C][/ROW]
[ROW][C]268[/C][C]59382[/C][C]58102.8930773607[/C][C]1279.10692263925[/C][/ROW]
[ROW][C]269[/C][C]119308[/C][C]85425.8713706176[/C][C]33882.1286293823[/C][/ROW]
[ROW][C]270[/C][C]76702[/C][C]83319.8558581501[/C][C]-6617.85585815006[/C][/ROW]
[ROW][C]271[/C][C]103425[/C][C]104061.889011442[/C][C]-636.889011441718[/C][/ROW]
[ROW][C]272[/C][C]70344[/C][C]67337.7061372483[/C][C]3006.29386275173[/C][/ROW]
[ROW][C]273[/C][C]43410[/C][C]36899.3241754492[/C][C]6510.67582455085[/C][/ROW]
[ROW][C]274[/C][C]104838[/C][C]99406.0499827823[/C][C]5431.95001721771[/C][/ROW]
[ROW][C]275[/C][C]62215[/C][C]52294.0803902263[/C][C]9920.91960977375[/C][/ROW]
[ROW][C]276[/C][C]69304[/C][C]69386.5328271284[/C][C]-82.5328271284065[/C][/ROW]
[ROW][C]277[/C][C]53117[/C][C]33207.6386765707[/C][C]19909.3613234293[/C][/ROW]
[ROW][C]278[/C][C]19764[/C][C]15209.6346823096[/C][C]4554.36531769036[/C][/ROW]
[ROW][C]279[/C][C]86680[/C][C]94014.4501289649[/C][C]-7334.45012896491[/C][/ROW]
[ROW][C]280[/C][C]84105[/C][C]71242.6346962262[/C][C]12862.3653037738[/C][/ROW]
[ROW][C]281[/C][C]77945[/C][C]75032.4241410501[/C][C]2912.57585894993[/C][/ROW]
[ROW][C]282[/C][C]89113[/C][C]58066.5783062848[/C][C]31046.4216937152[/C][/ROW]
[ROW][C]283[/C][C]91005[/C][C]79449.135571074[/C][C]11555.864428926[/C][/ROW]
[ROW][C]284[/C][C]40248[/C][C]28528.7993290377[/C][C]11719.2006709623[/C][/ROW]
[ROW][C]285[/C][C]64187[/C][C]58533.0515131248[/C][C]5653.94848687523[/C][/ROW]
[ROW][C]286[/C][C]50857[/C][C]45132.0515427096[/C][C]5724.94845729042[/C][/ROW]
[ROW][C]287[/C][C]56613[/C][C]48278.9105156105[/C][C]8334.08948438946[/C][/ROW]
[ROW][C]288[/C][C]62792[/C][C]66690.8526609124[/C][C]-3898.85266091244[/C][/ROW]
[ROW][C]289[/C][C]72535[/C][C]81895.2091798631[/C][C]-9360.20917986314[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159830&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159830&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
1210907190171.28260000620735.7173999941
2120982141852.593793665-20870.5937936651
3176508168779.8223843827728.17761561769
4179321220581.37167892-41260.3716789203
5123185112102.88424471411082.115755286
65274667605.9716197737-14859.9716197737
7385534371216.3931487714317.6068512296
83317028266.67630165284903.32369834724
910164582531.801355425219113.1986445748
10149061167332.804797951-18271.804797951
11165446148156.56901788517289.4309821147
12237213240368.225158238-3155.22515823844
13173326167725.3806303065600.61936969375
14133131136880.440418334-3749.44041833404
15258873218560.66065029640312.3393497038
16180083173098.7071141696984.29288583081
17324799368434.65146353-43635.6514635303
18230964206780.77539796724183.2246020326
19236785229335.8640974217449.13590257916
20135473134011.2976334681461.70236653238
21202925196723.0515228196201.94847718105
22215147199643.1942258715503.8057741303
23344297257213.75142221287083.2485777881
24153935146606.5592350937328.44076490713
25132943155168.442577369-22225.4425773694
26174724226670.004822694-51946.0048226943
27174415212576.492555385-38161.4925553851
28225548255591.019597157-30043.0195971567
29223632206416.14065177717215.8593482232
30124817129405.612602995-4588.61260299537
31221698267939.299837454-46241.2998374544
32210767219074.574324227-8307.5743242271
33170266175938.309497532-5672.30949753236
34260561255232.4000996035328.5999003966
358485385888.4985683067-1035.49856830676
36294424291273.6206348733150.37936512687
3710101196683.18985083164327.81014916837
38215641208235.0362209197405.9637790813
39325107288572.15676711236534.843232888
4071767494.94978866396-318.949788663965
41167542157877.0604460369664.93955396448
4210640884165.079025640722242.9209743593
4396560109041.08754378-12481.0875437797
44265769269962.881946164-4193.88194616432
45269651279534.976801825-9883.97680182546
46149112150311.347170586-1199.34717058648
47175824189742.487238263-13918.4872382629
48152871169985.640550177-17114.6405501773
49111665101985.9283608059679.07163919487
50116408169036.818813011-52628.8188130108
51362301322449.26193543939851.7380645609
5278800104086.451099994-25286.4510999936
53183167188078.951586821-4911.95158682087
54277965322512.840230657-44547.8402306566
55150629188910.578040795-38281.5780407955
56168809192168.293486518-23359.2934865181
572418839019.6899034268-14831.6899034268
58329267296135.11670244633131.8832975537
596502966257.601349034-1228.60134903395
60101097111510.249311831-10413.2493118308
61218946210307.4991938748638.50080612633
62244052241141.6108553772910.38914462255
63341570337806.223709583763.77629041997
64103597100247.851408563349.14859144018
65233328266151.613094303-32823.6130943032
66256462271148.272424185-14686.2724241852
67206161158062.45197949248098.5480205083
68311473323017.630446585-11544.6304465846
69235800263773.763644211-27973.7636442113
70177939204959.383591567-27020.3835915669
71207176195108.66940485712067.3305951428
72196553181813.77712168614739.2228783137
73174184165820.3502681198363.64973188128
74143246148502.991305952-5256.99130595171
75187559220608.916498502-33049.9164985017
76187681181464.1133408066216.88665919404
77119016134632.634625023-15616.6346250234
78182192194222.150944212-12030.150944212
797356689281.2418715874-15715.2418715874
80194979192172.6545464222806.34545357834
81167488157173.16854371510314.8314562855
82143756154152.150258463-10396.1502584627
83275541205118.11367829170422.8863217094
84243199227132.24665661816066.7533433822
85182999184178.618481391-1179.61848139133
86135649141494.206625029-5845.2066250291
87152299150780.5523683721518.44763162806
88120221133485.569697443-13264.5696974434
89346485271612.48265388474872.5173461161
90145790164722.612450162-18932.6124501621
91193339155712.22993864737626.7700613531
9280953100079.680125633-19126.680125633
93122774136416.214055389-13642.2140553885
94130585111551.6491662619033.3508337399
95112611103166.1343706949444.86562930641
96286468277093.0852122379374.91478776292
97241066223374.58798029717691.4120197033
98148446200369.786784006-51923.786784006
99204713186647.63377367518065.3662263252
100182079175085.4577063466993.54229365398
101140344143134.306001267-2790.30600126664
102220516216154.3189554894361.68104451051
103243060210247.38457620132812.615423799
104162765150280.3739306712484.6260693302
105182613176261.7275849416351.27241505851
106232138234672.065729664-2534.06572966366
107265318295351.140357462-30033.1403574623
1088557486888.5085653592-1314.50856535917
109310839300427.83736123410411.1626387657
110225060199954.55151755825105.4484824422
111232317248748.903883972-16431.903883972
112144966152505.859994683-7539.85999468342
1134328753111.5991421776-9824.59914217762
114155754151651.7935903634102.20640963665
115164709179311.06851459-14602.0685145902
116201940211316.456699234-9376.45669923403
117235454229521.8575628245932.14243717642
118220801186000.78258745134800.2174125493
11999466161418.056135503-61952.0561355032
12092661101469.84253618-8808.84253618021
121133328132484.757733785843.242266214705
1226136189588.6264728421-28227.6264728421
123125930154955.893266738-29025.8932667384
124100750139124.798098781-38374.7980987805
125224549199560.90356750924988.096432491
1268231673493.45431438822.54568569997
12710201095516.68944536246493.31055463761
128101523100465.128979251057.8710207497
129243511196192.75752909347318.2424709073
1302293820348.05876204052589.94123795954
1314156641353.0037562456212.996243754446
132152474165835.199650394-13361.1996503937
1336185747501.065755627614355.9342443724
13499923137498.452927683-37575.4529276832
135132487137412.584369219-4925.58436921858
136317394323319.704145597-5925.70414559722
1372105421540.9833031603-486.983303160269
138209641197150.55799182412490.4420081765
1392264834177.3596721591-11529.3596721591
1403141434729.0428481768-3315.04284817682
1414669865001.4121643379-18303.4121643379
142131698143171.19906159-11473.1990615904
1439173576949.582235982614785.4177640174
144244749277751.127359834-33002.1273598335
145184510153522.88881543230987.1111845678
1467986387448.584299771-7585.58429977103
147128423102609.43019428525813.5698057153
14897839112909.134474546-15070.1344745456
1493821452561.8611945978-14347.8611945978
150151101146155.4218952914945.57810470906
151272458248214.05930664924243.9406933505
152172494177928.006861062-5434.00686106233
153108043114321.863121285-6278.86312128494
154328107329583.454539129-1476.45453912911
155250579281372.202562033-30793.2025620328
156351067333181.82705788517885.172942115
157158015155337.8964716142677.10352838559
1589886686928.654719098411937.3452809016
15985439110215.247352533-24776.2473525333
160229242218584.41263091810657.5873690817
161351619352172.915226289-553.91522628889
1628420773245.393064594610961.6069354054
163120445122219.186465267-1774.18646526708
164324598302894.62306548921703.3769345108
165131069144706.436195058-13637.4361950582
166204271188736.47350755515534.526492445
167165543178227.449962473-12684.4499624726
168141722117121.97701419224600.0229858083
169116048113928.0365996572119.9634003426
170250047176852.84322208173194.1567779191
171299775290296.1099183969478.89008160385
172195838185020.7386095410817.2613904598
173173260127909.34742837245350.6525716279
174254488223256.32620850631231.6737914945
175104389142216.757807142-37827.7578071417
176136084138898.510484008-2814.51048400846
177199476224232.565462734-24756.5654627342
1789249979887.928217849512611.0717821505
179224330222877.2058649681452.7941350321
180135781108402.90586108527378.0941389155
1817440885753.0777010734-11345.0777010734
18281240103858.510094295-22618.5100942949
1831468811807.7914891682880.208510832
184181633168589.59462274313043.4053772566
185271856271257.819977737598.180022262698
18671997969.44545170575-770.445451705752
1874666050131.509806533-3471.509806533
188175479447.908125730368099.09187426964
189133368138539.096989416-5171.09698941645
1909522763954.254810238931272.7451897611
191152601106750.17292187445850.827078126
1929814696660.81641981451485.18358018553
1937961989616.5365953274-9997.53659532735
1945919473741.1299004718-14547.1299004718
195139942160659.492737989-20717.4927379895
196118612107277.65368631911334.346313681
1977288087078.564085737-14198.564085737
1986547562052.44668251723422.55331748282
19999643121617.044438816-21974.0444388159
2007196568944.78947792613020.21052207393
2017727271829.67460614725442.32539385277
2024928942392.99968422036896.00031577966
203135131112211.48200634822919.5179936517
204108446112800.684208649-4354.68420864853
20589746112935.818071344-23189.8180713437
2064429648027.7557651532-3731.75576515316
2077764873725.30075614843922.69924385155
208181528148412.62350919333115.3764908065
209134019110999.45390380423019.5460961962
210124064127215.302486324-3151.30248632435
2119263092914.7676421765-284.767642176545
21212184890650.146281610331197.8537183897
2135291552216.1477076885698.852292311479
2148187284231.2934742549-2359.29347425494
2155898174866.3047178073-15885.3047178073
2165351567811.1313724612-14296.1313724612
2176081290459.3645267469-29647.3645267469
2185637563330.8196811341-6955.81968113415
2196549071406.1217906418-5916.12179064184
2208094966056.692721454314892.3072785457
2217630292813.687063826-16511.687063826
222104011147728.014317057-43717.0143170568
22398104138582.901406988-40478.9014069883
2246798971855.9713192894-3866.97131928939
2253098929700.3045621021288.69543789803
226135458132915.4352935242542.56470647616
2277350461220.932797409112283.0672025909
2286312379649.6041854531-16526.6041854531
2296125467038.0900109337-5784.09001093367
2307491497366.3899615209-22452.3899615209
2313177442208.0323636357-10434.0323636357
2328143786658.2565983318-5221.25659833181
23387186133733.14781038-46547.1478103797
2345009056031.7574516839-5941.75745168386
2356574579382.5101145518-13637.5101145518
2365665355326.86111363721326.13888636283
237158399108826.71440784849572.2855921517
2384645558553.4370851869-12098.4370851869
2397362485121.2689243022-11497.2689243022
2403839550821.8357674719-12426.8357674719
2419189986427.8461137625471.15388623798
242139526135442.3103414874083.68965851286
2435216459021.7158166762-6857.71581667616
2445156752988.3917586113-1421.39175861125
2457055177248.8841675136-6697.88416751358
2468485693828.0841450037-8972.08414500371
247102538118537.680254446-15999.6802544462
2488667878986.32284337487691.67715662516
2498570973294.992403381912414.0075966181
2503466243561.2195355252-8899.21953552521
251150580146237.7690553194342.23094468098
2529961196785.08544299582825.91455700419
2531934913204.59685420056144.40314579947
2549937394098.12059174255274.87940825751
25586230100939.918877433-14709.9188774333
2563083725868.79948476894968.20051523109
2573170639359.6349129452-7653.63491294518
2588980669218.095053191320587.9049468087
2596208851199.106484622210888.8935153778
2604015138534.7009522861616.299047714
2612763435473.9533439318-7839.9533439318
2627699075582.03485270841407.96514729157
2633746022419.345727357815040.6542726422
2645415752823.92343430341333.07656569658
2654986255504.330152623-5642.330152623
2668433780569.45069042123767.54930957877
2676417577006.1644771395-12831.1644771395
2685938258102.89307736071279.10692263925
26911930885425.871370617633882.1286293823
2707670283319.8558581501-6617.85585815006
271103425104061.889011442-636.889011441718
2727034467337.70613724833006.29386275173
2734341036899.32417544926510.67582455085
27410483899406.04998278235431.95001721771
2756221552294.08039022639920.91960977375
2766930469386.5328271284-82.5328271284065
2775311733207.638676570719909.3613234293
2781976415209.63468230964554.36531769036
2798668094014.4501289649-7334.45012896491
2808410571242.634696226212862.3653037738
2817794575032.42414105012912.57585894993
2828911358066.578306284831046.4216937152
2839100579449.13557107411555.864428926
2844024828528.799329037711719.2006709623
2856418758533.05151312485653.94848687523
2865085745132.05154270965724.94845729042
2875661348278.91051561058334.08948438946
2886279266690.8526609124-3898.85266091244
2897253581895.2091798631-9360.20917986314







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
180.7446462282878350.5107075434243290.255353771712165
190.6225731306030860.7548537387938270.377426869396914
200.6060493714786270.7879012570427470.393950628521373
210.5844094788414380.8311810423171250.415590521158562
220.6720926737864270.6558146524271470.327907326213573
230.9304527633407010.1390944733185980.069547236659299
240.8954368358219560.2091263283560880.104563164178044
250.9412074018881580.1175851962236850.0587925981118425
260.9577098327974740.08458033440505190.0422901672025259
270.9608406425962580.07831871480748350.0391593574037417
280.9620713188089520.07585736238209510.0379286811910476
290.9566303935473930.0867392129052150.0433696064526075
300.9432940727756280.1134118544487440.0567059272243718
310.9780389638634830.04392207227303370.0219610361365169
320.9689939008361640.06201219832767270.0310060991638364
330.9572302460087550.08553950798248920.0427697539912446
340.9417325358497930.1165349283004130.0582674641502066
350.9210613043442940.1578773913114120.0789386956557058
360.9015245270755940.1969509458488110.0984754729244055
370.8722966265627430.2554067468745130.127703373437257
380.8386552459973440.3226895080053130.161344754002656
390.8905036501450610.2189926997098770.109496349854939
400.911250353844620.177499292310760.0887496461553802
410.8886058135296060.2227883729407870.111394186470394
420.8652204030052220.2695591939895550.134779596994778
430.8356947079328210.3286105841343570.164305292067179
440.8036647107946380.3926705784107250.196335289205362
450.8354351725933820.3291296548132360.164564827406618
460.803429852090720.393140295818560.19657014790928
470.7700025096971730.4599949806056540.229997490302827
480.7320725672081440.5358548655837120.267927432791856
490.6945031810979320.6109936378041370.305496818902068
500.8733068035265260.2533863929469480.126693196473474
510.9851021287996860.02979574240062760.0148978712003138
520.9851617973438480.02967640531230430.0148382026561521
530.982514062782950.03497187443409950.0174859372170497
540.995043765388290.009912469223419940.00495623461170997
550.9976423851222730.004715229755454430.00235761487772721
560.9978867270905570.004226545818886750.00211327290944337
570.9976365205223670.004726958955266240.00236347947763312
580.9979706515956010.004058696808798720.00202934840439936
590.9971521608414590.005695678317082640.00284783915854132
600.9965398548995040.00692029020099250.00346014510049625
610.9955632460429810.008873507914037340.00443675395701867
620.9942764952046620.01144700959067550.00572350479533777
630.9922948642854110.0154102714291780.00770513571458901
640.9897168332579390.02056633348412270.0102831667420613
650.9959986490740470.008002701851906170.00400135092595308
660.9951453288507040.009709342298591870.00485467114929594
670.9986686611967430.002662677606513310.00133133880325665
680.9983253254539650.003349349092070370.00167467454603519
690.9982654249727540.003469150054492750.00173457502724638
700.9983417691000640.003316461799872370.00165823089993618
710.9979126725631980.004174654873604570.00208732743680229
720.9974247677224680.005150464555063230.00257523227753162
730.9967115110242330.00657697795153360.0032884889757668
740.9955796026213530.008840794757294430.00442039737864721
750.9969515558751810.006096888249637410.0030484441248187
760.9962072715552340.007585456889532210.00379272844476611
770.9953421169349640.009315766130071120.00465788306503556
780.9944567212045010.01108655759099750.00554327879549875
790.9939088635834660.01218227283306890.00609113641653447
800.9920086723531160.01598265529376730.00799132764688366
810.990720264947140.018559470105720.00927973505286001
820.9882483263436440.02350334731271230.0117516736563562
830.9992878491429440.001424301714112390.000712150857056193
840.9991221444904960.001755711019008240.00087785550950412
850.9987984922001560.002403015599687520.00120150779984376
860.9983792446476840.003241510704631760.00162075535231588
870.9978357988866560.004328402226687230.00216420111334362
880.9974200434713430.005159913057313230.00257995652865662
890.999940629815440.0001187403691208715.93701845604354e-05
900.9999440848043090.0001118303913822255.59151956911126e-05
910.9999704108319515.91783360980086e-052.95891680490043e-05
920.9999690123305116.19753389782045e-053.09876694891023e-05
930.9999580015577658.39968844695878e-054.19984422347939e-05
940.9999536682981319.26634037387628e-054.63317018693814e-05
950.9999357271631640.0001285456736719776.42728368359885e-05
960.9999251421032270.0001497157935460157.48578967730077e-05
970.9999058218193320.0001883563613361189.41781806680591e-05
980.999984040220873.19195582598675e-051.59597791299337e-05
990.999980036414293.99271714206787e-051.99635857103394e-05
1000.9999731110371245.37779257525298e-052.68889628762649e-05
1010.9999607899111047.84201777919975e-053.92100888959987e-05
1020.9999435370746110.0001129258507788375.64629253894185e-05
1030.9999716984110185.66031779646255e-052.83015889823127e-05
1040.9999639547360767.20905278470076e-053.60452639235038e-05
1050.9999483734385490.0001032531229009965.1626561450498e-05
1060.9999307887538990.0001384224922018136.92112461009065e-05
1070.9999655112337686.89775324636403e-053.44887662318201e-05
1080.9999500610236889.98779526247732e-054.99389763123866e-05
1090.9999355453178460.0001289093643086566.44546821543278e-05
1100.9999359739995560.0001280520008874486.40260004437241e-05
1110.9999297347580860.0001405304838276967.02652419138482e-05
1120.9999041848174650.0001916303650690969.58151825345478e-05
1130.9998726425221960.0002547149556088620.000127357477804431
1140.9998214131074780.0003571737850446820.000178586892522341
1150.9997889383540870.0004221232918252330.000211061645912617
1160.9997213116135230.0005573767729546470.000278688386477323
1170.999616213559150.0007675728817005280.000383786440850264
1180.9997926317150840.0004147365698313590.000207368284915679
1190.9999754535348094.90929303821023e-052.45464651910512e-05
1200.9999688768351646.22463296722681e-053.11231648361341e-05
1210.9999549179912799.01640174426319e-054.5082008721316e-05
1220.9999732391594185.35216811639625e-052.67608405819813e-05
1230.9999756319842264.87360315474439e-052.43680157737219e-05
1240.9999867743501682.64512996636188e-051.32256498318094e-05
1250.9999869674718282.60650563431945e-051.30325281715973e-05
1260.9999819672906643.60654186723481e-051.8032709336174e-05
1270.9999747214168725.05571662558464e-052.52785831279232e-05
1280.9999637540347177.24919305654681e-053.62459652827341e-05
1290.9999903210188791.93579622423411e-059.67898112117056e-06
1300.9999858287070092.83425859816589e-051.41712929908295e-05
1310.9999793039476664.13921046679602e-052.06960523339801e-05
1320.9999748164110675.03671778666053e-052.51835889333027e-05
1330.9999670447571146.59104857726466e-053.29552428863233e-05
1340.9999832585209613.3482958078771e-051.67414790393855e-05
1350.9999786774313344.26451373313851e-052.13225686656926e-05
1360.9999716975585685.66048828642176e-052.83024414321088e-05
1370.9999591730760348.16538479321689e-054.08269239660845e-05
1380.999947364154920.0001052716901599785.26358450799892e-05
1390.9999404344453410.0001191311093179695.95655546589847e-05
1400.9999168005498050.0001663989003906148.31994501953071e-05
1410.9999079009870040.0001841980259923079.20990129961536e-05
1420.9998787124889130.000242575022174550.000121287511087275
1430.9998767559767330.0002464880465333820.000123244023266691
1440.99993450158860.0001309968227996826.54984113998408e-05
1450.9999557281450748.85437098519764e-054.42718549259882e-05
1460.9999432109760650.0001135780478702155.67890239351073e-05
1470.9999640287186117.19425627785832e-053.59712813892916e-05
1480.9999597158100328.05683799355197e-054.02841899677598e-05
1490.9999516814148659.66371702705195e-054.83185851352597e-05
1500.9999332487321540.0001335025356915646.67512678457822e-05
1510.9999458073893080.0001083852213834385.4192610691719e-05
1520.9999267970786760.0001464058426474217.32029213237103e-05
1530.9999071076352890.0001857847294223299.28923647111643e-05
1540.9998685021617410.0002629956765176380.000131497838258819
1550.9999188424000120.0001623151999755118.11575999877557e-05
1560.9998988339127260.0002023321745480430.000101166087274022
1570.999858772393040.0002824552139207240.000141227606960362
1580.9998751468795420.0002497062409157030.000124853120457851
1590.9999041207089110.0001917585821781389.58792910890691e-05
1600.9998757980831430.0002484038337142960.000124201916857148
1610.9998313708689880.0003372582620235460.000168629131011773
1620.9998178322548230.0003643354903540970.000182167745177049
1630.9998093922351320.000381215529735370.000190607764867685
1640.9998171362318760.0003657275362486540.000182863768124327
1650.999802347910430.0003953041791403340.000197652089570167
1660.9998029062720320.0003941874559349390.000197093727967469
1670.9997409340248710.0005181319502584070.000259065975129203
1680.9997373020850720.0005253958298554030.000262697914927702
1690.9996569193232740.0006861613534520580.000343080676726029
1700.9999903595244161.92809511680082e-059.6404755840041e-06
1710.9999872378013962.5524397207049e-051.27621986035245e-05
1720.9999866042188362.67915623273443e-051.33957811636722e-05
1730.9999961586651437.68266971441899e-063.8413348572095e-06
1740.9999992568272951.48634541023016e-067.43172705115082e-07
1750.9999994002356611.19952867788466e-065.99764338942329e-07
1760.9999991065792971.78684140598871e-068.93420702994353e-07
1770.9999990480866321.90382673614795e-069.51913368073976e-07
1780.9999988478567862.30428642874861e-061.1521432143743e-06
1790.9999982824365153.43512696980414e-061.71756348490207e-06
1800.9999986414569462.71708610777138e-061.35854305388569e-06
1810.9999980379935643.92401287116404e-061.96200643558202e-06
1820.9999988376099992.32478000147585e-061.16239000073793e-06
1830.9999981480675653.70386486923185e-061.85193243461592e-06
1840.9999979693550944.06128981195875e-062.03064490597938e-06
1850.9999975844447464.83111050905806e-062.41555525452903e-06
1860.9999964324756677.13504866514341e-063.56752433257171e-06
1870.9999952527510559.49449788919145e-064.74724894459572e-06
1880.9999927042839271.45914321468233e-057.29571607341163e-06
1890.9999898591925012.02816149986356e-051.01408074993178e-05
1900.9999920908387181.58183225642273e-057.90916128211366e-06
1910.9999997786541174.42691766120686e-072.21345883060343e-07
1920.9999996256437517.48712497123899e-073.7435624856195e-07
1930.9999993911399111.21772017899408e-066.0886008949704e-07
1940.9999990621394041.87572119176735e-069.37860595883674e-07
1950.9999990139434741.97211305110088e-069.86056525550438e-07
1960.9999990626036991.87479260234732e-069.37396301173661e-07
1970.9999988470717082.30585658317423e-061.15292829158712e-06
1980.9999982126203223.57475935662152e-061.78737967831076e-06
1990.9999983138233013.37235339765802e-061.68617669882901e-06
2000.9999975457496524.90850069663328e-062.45425034831664e-06
2010.9999965171050136.96578997353467e-063.48289498676733e-06
2020.9999944901044191.10197911624982e-055.50989558124908e-06
2030.9999939395533421.21208933157191e-056.06044665785954e-06
2040.9999901770431421.96459137168545e-059.82295685842727e-06
2050.9999859452891712.81094216586993e-051.40547108293496e-05
2060.9999782216425224.3556714956154e-052.1778357478077e-05
2070.9999663571603296.72856793418546e-053.36428396709273e-05
2080.9999919393108871.61213782265811e-058.06068911329057e-06
2090.9999953632956589.2734086841607e-064.63670434208035e-06
2100.9999923007980561.53984038889625e-057.69920194448124e-06
2110.9999884388552642.31222894711629e-051.15611447355815e-05
2120.9999964194865727.16102685693749e-063.58051342846874e-06
2130.9999940816472481.18367055037485e-055.91835275187427e-06
2140.9999904204243091.91591513822603e-059.57957569113013e-06
2150.9999848465097623.03069804749606e-051.51534902374803e-05
2160.9999781278927034.37442145934213e-052.18721072967107e-05
2170.9999910564005671.78871988665107e-058.94359943325536e-06
2180.999985092292472.98154150594591e-051.49077075297296e-05
2190.9999764257236994.71485526018566e-052.35742763009283e-05
2200.9999657173890256.85652219507972e-053.42826109753986e-05
2210.9999569833085628.60333828753151e-054.30166914376575e-05
2220.9999881631363662.36737272682183e-051.18368636341092e-05
2230.9999902570914141.94858171725112e-059.74290858625559e-06
2240.9999833273327583.33453344834239e-051.6672667241712e-05
2250.9999714704510285.70590979441754e-052.85295489720877e-05
2260.9999591344577078.17310845853712e-054.08655422926856e-05
2270.9999425159862170.0001149680275668885.74840137834441e-05
2280.9999329465813220.0001341068373552476.70534186776235e-05
2290.9998880593622350.0002238812755304550.000111940637765228
2300.999938809868970.0001223802620599686.11901310299842e-05
2310.9999430298182130.0001139403635741085.6970181787054e-05
2320.9999029157977640.0001941684044724559.70842022362273e-05
2330.9999996265719427.46856116843684e-073.73428058421842e-07
2340.9999992820454181.43590916484366e-067.17954582421831e-07
2350.9999985841785262.83164294839248e-061.41582147419624e-06
2360.9999972468750495.50624990173916e-062.75312495086958e-06
2370.9999999890904242.18191527940511e-081.09095763970256e-08
2380.9999999743300655.13398697732587e-082.56699348866294e-08
2390.9999999424675071.15064986237615e-075.75324931188075e-08
2400.9999998913590912.17281818166833e-071.08640909083416e-07
2410.9999997593957384.81208523516579e-072.40604261758289e-07
2420.9999995560096198.87980761855021e-074.43990380927511e-07
2430.9999991378726671.72425466645348e-068.6212733322674e-07
2440.9999981355141123.72897177665154e-061.86448588832577e-06
2450.9999972356520595.52869588187256e-062.76434794093628e-06
2460.9999947154276971.05691446062812e-055.28457230314059e-06
2470.9999961917123847.61657523120394e-063.80828761560197e-06
2480.9999927076253561.45847492874063e-057.29237464370315e-06
2490.9999872527622872.54944754267707e-051.27472377133853e-05
2500.9999829278547353.41442905301022e-051.70721452650511e-05
2510.9999726842719765.46314560473626e-052.73157280236813e-05
2520.9999535682720059.28634559902128e-054.64317279951064e-05
2530.9998979373583760.0002041252832489910.000102062641624495
2540.9997867364234730.0004265271530538030.000213263576526901
2550.9998069796452250.0003860407095496190.000193020354774809
2560.9995834358130470.0008331283739060660.000416564186953033
2570.999433527202270.001132945595460330.000566472797730166
2580.9996318904601230.0007362190797543020.000368109539877151
2590.9992138911273890.001572217745222250.000786108872611123
2600.9986121068875960.002775786224807810.00138789311240391
2610.9975039931778890.004992013644221270.00249600682211063
2620.994772793726660.01045441254668010.00522720627334004
2630.9928202665909920.01435946681801620.00717973340900812
2640.9934625880426440.01307482391471130.00653741195735565
2650.9900105846547520.0199788306904970.00998941534524848
2660.9799849674949550.04003006501009050.0200150325050453
2670.9624895847685510.07502083046289720.0375104152314486
2680.9397579533901520.1204840932196960.0602420466098478
2690.9997475608696620.0005048782606759590.000252439130337979
2700.9997336855421590.000532628915681280.00026631445784064
2710.9975395429793410.004920914041318890.00246045702065944

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
18 & 0.744646228287835 & 0.510707543424329 & 0.255353771712165 \tabularnewline
19 & 0.622573130603086 & 0.754853738793827 & 0.377426869396914 \tabularnewline
20 & 0.606049371478627 & 0.787901257042747 & 0.393950628521373 \tabularnewline
21 & 0.584409478841438 & 0.831181042317125 & 0.415590521158562 \tabularnewline
22 & 0.672092673786427 & 0.655814652427147 & 0.327907326213573 \tabularnewline
23 & 0.930452763340701 & 0.139094473318598 & 0.069547236659299 \tabularnewline
24 & 0.895436835821956 & 0.209126328356088 & 0.104563164178044 \tabularnewline
25 & 0.941207401888158 & 0.117585196223685 & 0.0587925981118425 \tabularnewline
26 & 0.957709832797474 & 0.0845803344050519 & 0.0422901672025259 \tabularnewline
27 & 0.960840642596258 & 0.0783187148074835 & 0.0391593574037417 \tabularnewline
28 & 0.962071318808952 & 0.0758573623820951 & 0.0379286811910476 \tabularnewline
29 & 0.956630393547393 & 0.086739212905215 & 0.0433696064526075 \tabularnewline
30 & 0.943294072775628 & 0.113411854448744 & 0.0567059272243718 \tabularnewline
31 & 0.978038963863483 & 0.0439220722730337 & 0.0219610361365169 \tabularnewline
32 & 0.968993900836164 & 0.0620121983276727 & 0.0310060991638364 \tabularnewline
33 & 0.957230246008755 & 0.0855395079824892 & 0.0427697539912446 \tabularnewline
34 & 0.941732535849793 & 0.116534928300413 & 0.0582674641502066 \tabularnewline
35 & 0.921061304344294 & 0.157877391311412 & 0.0789386956557058 \tabularnewline
36 & 0.901524527075594 & 0.196950945848811 & 0.0984754729244055 \tabularnewline
37 & 0.872296626562743 & 0.255406746874513 & 0.127703373437257 \tabularnewline
38 & 0.838655245997344 & 0.322689508005313 & 0.161344754002656 \tabularnewline
39 & 0.890503650145061 & 0.218992699709877 & 0.109496349854939 \tabularnewline
40 & 0.91125035384462 & 0.17749929231076 & 0.0887496461553802 \tabularnewline
41 & 0.888605813529606 & 0.222788372940787 & 0.111394186470394 \tabularnewline
42 & 0.865220403005222 & 0.269559193989555 & 0.134779596994778 \tabularnewline
43 & 0.835694707932821 & 0.328610584134357 & 0.164305292067179 \tabularnewline
44 & 0.803664710794638 & 0.392670578410725 & 0.196335289205362 \tabularnewline
45 & 0.835435172593382 & 0.329129654813236 & 0.164564827406618 \tabularnewline
46 & 0.80342985209072 & 0.39314029581856 & 0.19657014790928 \tabularnewline
47 & 0.770002509697173 & 0.459994980605654 & 0.229997490302827 \tabularnewline
48 & 0.732072567208144 & 0.535854865583712 & 0.267927432791856 \tabularnewline
49 & 0.694503181097932 & 0.610993637804137 & 0.305496818902068 \tabularnewline
50 & 0.873306803526526 & 0.253386392946948 & 0.126693196473474 \tabularnewline
51 & 0.985102128799686 & 0.0297957424006276 & 0.0148978712003138 \tabularnewline
52 & 0.985161797343848 & 0.0296764053123043 & 0.0148382026561521 \tabularnewline
53 & 0.98251406278295 & 0.0349718744340995 & 0.0174859372170497 \tabularnewline
54 & 0.99504376538829 & 0.00991246922341994 & 0.00495623461170997 \tabularnewline
55 & 0.997642385122273 & 0.00471522975545443 & 0.00235761487772721 \tabularnewline
56 & 0.997886727090557 & 0.00422654581888675 & 0.00211327290944337 \tabularnewline
57 & 0.997636520522367 & 0.00472695895526624 & 0.00236347947763312 \tabularnewline
58 & 0.997970651595601 & 0.00405869680879872 & 0.00202934840439936 \tabularnewline
59 & 0.997152160841459 & 0.00569567831708264 & 0.00284783915854132 \tabularnewline
60 & 0.996539854899504 & 0.0069202902009925 & 0.00346014510049625 \tabularnewline
61 & 0.995563246042981 & 0.00887350791403734 & 0.00443675395701867 \tabularnewline
62 & 0.994276495204662 & 0.0114470095906755 & 0.00572350479533777 \tabularnewline
63 & 0.992294864285411 & 0.015410271429178 & 0.00770513571458901 \tabularnewline
64 & 0.989716833257939 & 0.0205663334841227 & 0.0102831667420613 \tabularnewline
65 & 0.995998649074047 & 0.00800270185190617 & 0.00400135092595308 \tabularnewline
66 & 0.995145328850704 & 0.00970934229859187 & 0.00485467114929594 \tabularnewline
67 & 0.998668661196743 & 0.00266267760651331 & 0.00133133880325665 \tabularnewline
68 & 0.998325325453965 & 0.00334934909207037 & 0.00167467454603519 \tabularnewline
69 & 0.998265424972754 & 0.00346915005449275 & 0.00173457502724638 \tabularnewline
70 & 0.998341769100064 & 0.00331646179987237 & 0.00165823089993618 \tabularnewline
71 & 0.997912672563198 & 0.00417465487360457 & 0.00208732743680229 \tabularnewline
72 & 0.997424767722468 & 0.00515046455506323 & 0.00257523227753162 \tabularnewline
73 & 0.996711511024233 & 0.0065769779515336 & 0.0032884889757668 \tabularnewline
74 & 0.995579602621353 & 0.00884079475729443 & 0.00442039737864721 \tabularnewline
75 & 0.996951555875181 & 0.00609688824963741 & 0.0030484441248187 \tabularnewline
76 & 0.996207271555234 & 0.00758545688953221 & 0.00379272844476611 \tabularnewline
77 & 0.995342116934964 & 0.00931576613007112 & 0.00465788306503556 \tabularnewline
78 & 0.994456721204501 & 0.0110865575909975 & 0.00554327879549875 \tabularnewline
79 & 0.993908863583466 & 0.0121822728330689 & 0.00609113641653447 \tabularnewline
80 & 0.992008672353116 & 0.0159826552937673 & 0.00799132764688366 \tabularnewline
81 & 0.99072026494714 & 0.01855947010572 & 0.00927973505286001 \tabularnewline
82 & 0.988248326343644 & 0.0235033473127123 & 0.0117516736563562 \tabularnewline
83 & 0.999287849142944 & 0.00142430171411239 & 0.000712150857056193 \tabularnewline
84 & 0.999122144490496 & 0.00175571101900824 & 0.00087785550950412 \tabularnewline
85 & 0.998798492200156 & 0.00240301559968752 & 0.00120150779984376 \tabularnewline
86 & 0.998379244647684 & 0.00324151070463176 & 0.00162075535231588 \tabularnewline
87 & 0.997835798886656 & 0.00432840222668723 & 0.00216420111334362 \tabularnewline
88 & 0.997420043471343 & 0.00515991305731323 & 0.00257995652865662 \tabularnewline
89 & 0.99994062981544 & 0.000118740369120871 & 5.93701845604354e-05 \tabularnewline
90 & 0.999944084804309 & 0.000111830391382225 & 5.59151956911126e-05 \tabularnewline
91 & 0.999970410831951 & 5.91783360980086e-05 & 2.95891680490043e-05 \tabularnewline
92 & 0.999969012330511 & 6.19753389782045e-05 & 3.09876694891023e-05 \tabularnewline
93 & 0.999958001557765 & 8.39968844695878e-05 & 4.19984422347939e-05 \tabularnewline
94 & 0.999953668298131 & 9.26634037387628e-05 & 4.63317018693814e-05 \tabularnewline
95 & 0.999935727163164 & 0.000128545673671977 & 6.42728368359885e-05 \tabularnewline
96 & 0.999925142103227 & 0.000149715793546015 & 7.48578967730077e-05 \tabularnewline
97 & 0.999905821819332 & 0.000188356361336118 & 9.41781806680591e-05 \tabularnewline
98 & 0.99998404022087 & 3.19195582598675e-05 & 1.59597791299337e-05 \tabularnewline
99 & 0.99998003641429 & 3.99271714206787e-05 & 1.99635857103394e-05 \tabularnewline
100 & 0.999973111037124 & 5.37779257525298e-05 & 2.68889628762649e-05 \tabularnewline
101 & 0.999960789911104 & 7.84201777919975e-05 & 3.92100888959987e-05 \tabularnewline
102 & 0.999943537074611 & 0.000112925850778837 & 5.64629253894185e-05 \tabularnewline
103 & 0.999971698411018 & 5.66031779646255e-05 & 2.83015889823127e-05 \tabularnewline
104 & 0.999963954736076 & 7.20905278470076e-05 & 3.60452639235038e-05 \tabularnewline
105 & 0.999948373438549 & 0.000103253122900996 & 5.1626561450498e-05 \tabularnewline
106 & 0.999930788753899 & 0.000138422492201813 & 6.92112461009065e-05 \tabularnewline
107 & 0.999965511233768 & 6.89775324636403e-05 & 3.44887662318201e-05 \tabularnewline
108 & 0.999950061023688 & 9.98779526247732e-05 & 4.99389763123866e-05 \tabularnewline
109 & 0.999935545317846 & 0.000128909364308656 & 6.44546821543278e-05 \tabularnewline
110 & 0.999935973999556 & 0.000128052000887448 & 6.40260004437241e-05 \tabularnewline
111 & 0.999929734758086 & 0.000140530483827696 & 7.02652419138482e-05 \tabularnewline
112 & 0.999904184817465 & 0.000191630365069096 & 9.58151825345478e-05 \tabularnewline
113 & 0.999872642522196 & 0.000254714955608862 & 0.000127357477804431 \tabularnewline
114 & 0.999821413107478 & 0.000357173785044682 & 0.000178586892522341 \tabularnewline
115 & 0.999788938354087 & 0.000422123291825233 & 0.000211061645912617 \tabularnewline
116 & 0.999721311613523 & 0.000557376772954647 & 0.000278688386477323 \tabularnewline
117 & 0.99961621355915 & 0.000767572881700528 & 0.000383786440850264 \tabularnewline
118 & 0.999792631715084 & 0.000414736569831359 & 0.000207368284915679 \tabularnewline
119 & 0.999975453534809 & 4.90929303821023e-05 & 2.45464651910512e-05 \tabularnewline
120 & 0.999968876835164 & 6.22463296722681e-05 & 3.11231648361341e-05 \tabularnewline
121 & 0.999954917991279 & 9.01640174426319e-05 & 4.5082008721316e-05 \tabularnewline
122 & 0.999973239159418 & 5.35216811639625e-05 & 2.67608405819813e-05 \tabularnewline
123 & 0.999975631984226 & 4.87360315474439e-05 & 2.43680157737219e-05 \tabularnewline
124 & 0.999986774350168 & 2.64512996636188e-05 & 1.32256498318094e-05 \tabularnewline
125 & 0.999986967471828 & 2.60650563431945e-05 & 1.30325281715973e-05 \tabularnewline
126 & 0.999981967290664 & 3.60654186723481e-05 & 1.8032709336174e-05 \tabularnewline
127 & 0.999974721416872 & 5.05571662558464e-05 & 2.52785831279232e-05 \tabularnewline
128 & 0.999963754034717 & 7.24919305654681e-05 & 3.62459652827341e-05 \tabularnewline
129 & 0.999990321018879 & 1.93579622423411e-05 & 9.67898112117056e-06 \tabularnewline
130 & 0.999985828707009 & 2.83425859816589e-05 & 1.41712929908295e-05 \tabularnewline
131 & 0.999979303947666 & 4.13921046679602e-05 & 2.06960523339801e-05 \tabularnewline
132 & 0.999974816411067 & 5.03671778666053e-05 & 2.51835889333027e-05 \tabularnewline
133 & 0.999967044757114 & 6.59104857726466e-05 & 3.29552428863233e-05 \tabularnewline
134 & 0.999983258520961 & 3.3482958078771e-05 & 1.67414790393855e-05 \tabularnewline
135 & 0.999978677431334 & 4.26451373313851e-05 & 2.13225686656926e-05 \tabularnewline
136 & 0.999971697558568 & 5.66048828642176e-05 & 2.83024414321088e-05 \tabularnewline
137 & 0.999959173076034 & 8.16538479321689e-05 & 4.08269239660845e-05 \tabularnewline
138 & 0.99994736415492 & 0.000105271690159978 & 5.26358450799892e-05 \tabularnewline
139 & 0.999940434445341 & 0.000119131109317969 & 5.95655546589847e-05 \tabularnewline
140 & 0.999916800549805 & 0.000166398900390614 & 8.31994501953071e-05 \tabularnewline
141 & 0.999907900987004 & 0.000184198025992307 & 9.20990129961536e-05 \tabularnewline
142 & 0.999878712488913 & 0.00024257502217455 & 0.000121287511087275 \tabularnewline
143 & 0.999876755976733 & 0.000246488046533382 & 0.000123244023266691 \tabularnewline
144 & 0.9999345015886 & 0.000130996822799682 & 6.54984113998408e-05 \tabularnewline
145 & 0.999955728145074 & 8.85437098519764e-05 & 4.42718549259882e-05 \tabularnewline
146 & 0.999943210976065 & 0.000113578047870215 & 5.67890239351073e-05 \tabularnewline
147 & 0.999964028718611 & 7.19425627785832e-05 & 3.59712813892916e-05 \tabularnewline
148 & 0.999959715810032 & 8.05683799355197e-05 & 4.02841899677598e-05 \tabularnewline
149 & 0.999951681414865 & 9.66371702705195e-05 & 4.83185851352597e-05 \tabularnewline
150 & 0.999933248732154 & 0.000133502535691564 & 6.67512678457822e-05 \tabularnewline
151 & 0.999945807389308 & 0.000108385221383438 & 5.4192610691719e-05 \tabularnewline
152 & 0.999926797078676 & 0.000146405842647421 & 7.32029213237103e-05 \tabularnewline
153 & 0.999907107635289 & 0.000185784729422329 & 9.28923647111643e-05 \tabularnewline
154 & 0.999868502161741 & 0.000262995676517638 & 0.000131497838258819 \tabularnewline
155 & 0.999918842400012 & 0.000162315199975511 & 8.11575999877557e-05 \tabularnewline
156 & 0.999898833912726 & 0.000202332174548043 & 0.000101166087274022 \tabularnewline
157 & 0.99985877239304 & 0.000282455213920724 & 0.000141227606960362 \tabularnewline
158 & 0.999875146879542 & 0.000249706240915703 & 0.000124853120457851 \tabularnewline
159 & 0.999904120708911 & 0.000191758582178138 & 9.58792910890691e-05 \tabularnewline
160 & 0.999875798083143 & 0.000248403833714296 & 0.000124201916857148 \tabularnewline
161 & 0.999831370868988 & 0.000337258262023546 & 0.000168629131011773 \tabularnewline
162 & 0.999817832254823 & 0.000364335490354097 & 0.000182167745177049 \tabularnewline
163 & 0.999809392235132 & 0.00038121552973537 & 0.000190607764867685 \tabularnewline
164 & 0.999817136231876 & 0.000365727536248654 & 0.000182863768124327 \tabularnewline
165 & 0.99980234791043 & 0.000395304179140334 & 0.000197652089570167 \tabularnewline
166 & 0.999802906272032 & 0.000394187455934939 & 0.000197093727967469 \tabularnewline
167 & 0.999740934024871 & 0.000518131950258407 & 0.000259065975129203 \tabularnewline
168 & 0.999737302085072 & 0.000525395829855403 & 0.000262697914927702 \tabularnewline
169 & 0.999656919323274 & 0.000686161353452058 & 0.000343080676726029 \tabularnewline
170 & 0.999990359524416 & 1.92809511680082e-05 & 9.6404755840041e-06 \tabularnewline
171 & 0.999987237801396 & 2.5524397207049e-05 & 1.27621986035245e-05 \tabularnewline
172 & 0.999986604218836 & 2.67915623273443e-05 & 1.33957811636722e-05 \tabularnewline
173 & 0.999996158665143 & 7.68266971441899e-06 & 3.8413348572095e-06 \tabularnewline
174 & 0.999999256827295 & 1.48634541023016e-06 & 7.43172705115082e-07 \tabularnewline
175 & 0.999999400235661 & 1.19952867788466e-06 & 5.99764338942329e-07 \tabularnewline
176 & 0.999999106579297 & 1.78684140598871e-06 & 8.93420702994353e-07 \tabularnewline
177 & 0.999999048086632 & 1.90382673614795e-06 & 9.51913368073976e-07 \tabularnewline
178 & 0.999998847856786 & 2.30428642874861e-06 & 1.1521432143743e-06 \tabularnewline
179 & 0.999998282436515 & 3.43512696980414e-06 & 1.71756348490207e-06 \tabularnewline
180 & 0.999998641456946 & 2.71708610777138e-06 & 1.35854305388569e-06 \tabularnewline
181 & 0.999998037993564 & 3.92401287116404e-06 & 1.96200643558202e-06 \tabularnewline
182 & 0.999998837609999 & 2.32478000147585e-06 & 1.16239000073793e-06 \tabularnewline
183 & 0.999998148067565 & 3.70386486923185e-06 & 1.85193243461592e-06 \tabularnewline
184 & 0.999997969355094 & 4.06128981195875e-06 & 2.03064490597938e-06 \tabularnewline
185 & 0.999997584444746 & 4.83111050905806e-06 & 2.41555525452903e-06 \tabularnewline
186 & 0.999996432475667 & 7.13504866514341e-06 & 3.56752433257171e-06 \tabularnewline
187 & 0.999995252751055 & 9.49449788919145e-06 & 4.74724894459572e-06 \tabularnewline
188 & 0.999992704283927 & 1.45914321468233e-05 & 7.29571607341163e-06 \tabularnewline
189 & 0.999989859192501 & 2.02816149986356e-05 & 1.01408074993178e-05 \tabularnewline
190 & 0.999992090838718 & 1.58183225642273e-05 & 7.90916128211366e-06 \tabularnewline
191 & 0.999999778654117 & 4.42691766120686e-07 & 2.21345883060343e-07 \tabularnewline
192 & 0.999999625643751 & 7.48712497123899e-07 & 3.7435624856195e-07 \tabularnewline
193 & 0.999999391139911 & 1.21772017899408e-06 & 6.0886008949704e-07 \tabularnewline
194 & 0.999999062139404 & 1.87572119176735e-06 & 9.37860595883674e-07 \tabularnewline
195 & 0.999999013943474 & 1.97211305110088e-06 & 9.86056525550438e-07 \tabularnewline
196 & 0.999999062603699 & 1.87479260234732e-06 & 9.37396301173661e-07 \tabularnewline
197 & 0.999998847071708 & 2.30585658317423e-06 & 1.15292829158712e-06 \tabularnewline
198 & 0.999998212620322 & 3.57475935662152e-06 & 1.78737967831076e-06 \tabularnewline
199 & 0.999998313823301 & 3.37235339765802e-06 & 1.68617669882901e-06 \tabularnewline
200 & 0.999997545749652 & 4.90850069663328e-06 & 2.45425034831664e-06 \tabularnewline
201 & 0.999996517105013 & 6.96578997353467e-06 & 3.48289498676733e-06 \tabularnewline
202 & 0.999994490104419 & 1.10197911624982e-05 & 5.50989558124908e-06 \tabularnewline
203 & 0.999993939553342 & 1.21208933157191e-05 & 6.06044665785954e-06 \tabularnewline
204 & 0.999990177043142 & 1.96459137168545e-05 & 9.82295685842727e-06 \tabularnewline
205 & 0.999985945289171 & 2.81094216586993e-05 & 1.40547108293496e-05 \tabularnewline
206 & 0.999978221642522 & 4.3556714956154e-05 & 2.1778357478077e-05 \tabularnewline
207 & 0.999966357160329 & 6.72856793418546e-05 & 3.36428396709273e-05 \tabularnewline
208 & 0.999991939310887 & 1.61213782265811e-05 & 8.06068911329057e-06 \tabularnewline
209 & 0.999995363295658 & 9.2734086841607e-06 & 4.63670434208035e-06 \tabularnewline
210 & 0.999992300798056 & 1.53984038889625e-05 & 7.69920194448124e-06 \tabularnewline
211 & 0.999988438855264 & 2.31222894711629e-05 & 1.15611447355815e-05 \tabularnewline
212 & 0.999996419486572 & 7.16102685693749e-06 & 3.58051342846874e-06 \tabularnewline
213 & 0.999994081647248 & 1.18367055037485e-05 & 5.91835275187427e-06 \tabularnewline
214 & 0.999990420424309 & 1.91591513822603e-05 & 9.57957569113013e-06 \tabularnewline
215 & 0.999984846509762 & 3.03069804749606e-05 & 1.51534902374803e-05 \tabularnewline
216 & 0.999978127892703 & 4.37442145934213e-05 & 2.18721072967107e-05 \tabularnewline
217 & 0.999991056400567 & 1.78871988665107e-05 & 8.94359943325536e-06 \tabularnewline
218 & 0.99998509229247 & 2.98154150594591e-05 & 1.49077075297296e-05 \tabularnewline
219 & 0.999976425723699 & 4.71485526018566e-05 & 2.35742763009283e-05 \tabularnewline
220 & 0.999965717389025 & 6.85652219507972e-05 & 3.42826109753986e-05 \tabularnewline
221 & 0.999956983308562 & 8.60333828753151e-05 & 4.30166914376575e-05 \tabularnewline
222 & 0.999988163136366 & 2.36737272682183e-05 & 1.18368636341092e-05 \tabularnewline
223 & 0.999990257091414 & 1.94858171725112e-05 & 9.74290858625559e-06 \tabularnewline
224 & 0.999983327332758 & 3.33453344834239e-05 & 1.6672667241712e-05 \tabularnewline
225 & 0.999971470451028 & 5.70590979441754e-05 & 2.85295489720877e-05 \tabularnewline
226 & 0.999959134457707 & 8.17310845853712e-05 & 4.08655422926856e-05 \tabularnewline
227 & 0.999942515986217 & 0.000114968027566888 & 5.74840137834441e-05 \tabularnewline
228 & 0.999932946581322 & 0.000134106837355247 & 6.70534186776235e-05 \tabularnewline
229 & 0.999888059362235 & 0.000223881275530455 & 0.000111940637765228 \tabularnewline
230 & 0.99993880986897 & 0.000122380262059968 & 6.11901310299842e-05 \tabularnewline
231 & 0.999943029818213 & 0.000113940363574108 & 5.6970181787054e-05 \tabularnewline
232 & 0.999902915797764 & 0.000194168404472455 & 9.70842022362273e-05 \tabularnewline
233 & 0.999999626571942 & 7.46856116843684e-07 & 3.73428058421842e-07 \tabularnewline
234 & 0.999999282045418 & 1.43590916484366e-06 & 7.17954582421831e-07 \tabularnewline
235 & 0.999998584178526 & 2.83164294839248e-06 & 1.41582147419624e-06 \tabularnewline
236 & 0.999997246875049 & 5.50624990173916e-06 & 2.75312495086958e-06 \tabularnewline
237 & 0.999999989090424 & 2.18191527940511e-08 & 1.09095763970256e-08 \tabularnewline
238 & 0.999999974330065 & 5.13398697732587e-08 & 2.56699348866294e-08 \tabularnewline
239 & 0.999999942467507 & 1.15064986237615e-07 & 5.75324931188075e-08 \tabularnewline
240 & 0.999999891359091 & 2.17281818166833e-07 & 1.08640909083416e-07 \tabularnewline
241 & 0.999999759395738 & 4.81208523516579e-07 & 2.40604261758289e-07 \tabularnewline
242 & 0.999999556009619 & 8.87980761855021e-07 & 4.43990380927511e-07 \tabularnewline
243 & 0.999999137872667 & 1.72425466645348e-06 & 8.6212733322674e-07 \tabularnewline
244 & 0.999998135514112 & 3.72897177665154e-06 & 1.86448588832577e-06 \tabularnewline
245 & 0.999997235652059 & 5.52869588187256e-06 & 2.76434794093628e-06 \tabularnewline
246 & 0.999994715427697 & 1.05691446062812e-05 & 5.28457230314059e-06 \tabularnewline
247 & 0.999996191712384 & 7.61657523120394e-06 & 3.80828761560197e-06 \tabularnewline
248 & 0.999992707625356 & 1.45847492874063e-05 & 7.29237464370315e-06 \tabularnewline
249 & 0.999987252762287 & 2.54944754267707e-05 & 1.27472377133853e-05 \tabularnewline
250 & 0.999982927854735 & 3.41442905301022e-05 & 1.70721452650511e-05 \tabularnewline
251 & 0.999972684271976 & 5.46314560473626e-05 & 2.73157280236813e-05 \tabularnewline
252 & 0.999953568272005 & 9.28634559902128e-05 & 4.64317279951064e-05 \tabularnewline
253 & 0.999897937358376 & 0.000204125283248991 & 0.000102062641624495 \tabularnewline
254 & 0.999786736423473 & 0.000426527153053803 & 0.000213263576526901 \tabularnewline
255 & 0.999806979645225 & 0.000386040709549619 & 0.000193020354774809 \tabularnewline
256 & 0.999583435813047 & 0.000833128373906066 & 0.000416564186953033 \tabularnewline
257 & 0.99943352720227 & 0.00113294559546033 & 0.000566472797730166 \tabularnewline
258 & 0.999631890460123 & 0.000736219079754302 & 0.000368109539877151 \tabularnewline
259 & 0.999213891127389 & 0.00157221774522225 & 0.000786108872611123 \tabularnewline
260 & 0.998612106887596 & 0.00277578622480781 & 0.00138789311240391 \tabularnewline
261 & 0.997503993177889 & 0.00499201364422127 & 0.00249600682211063 \tabularnewline
262 & 0.99477279372666 & 0.0104544125466801 & 0.00522720627334004 \tabularnewline
263 & 0.992820266590992 & 0.0143594668180162 & 0.00717973340900812 \tabularnewline
264 & 0.993462588042644 & 0.0130748239147113 & 0.00653741195735565 \tabularnewline
265 & 0.990010584654752 & 0.019978830690497 & 0.00998941534524848 \tabularnewline
266 & 0.979984967494955 & 0.0400300650100905 & 0.0200150325050453 \tabularnewline
267 & 0.962489584768551 & 0.0750208304628972 & 0.0375104152314486 \tabularnewline
268 & 0.939757953390152 & 0.120484093219696 & 0.0602420466098478 \tabularnewline
269 & 0.999747560869662 & 0.000504878260675959 & 0.000252439130337979 \tabularnewline
270 & 0.999733685542159 & 0.00053262891568128 & 0.00026631445784064 \tabularnewline
271 & 0.997539542979341 & 0.00492091404131889 & 0.00246045702065944 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159830&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]18[/C][C]0.744646228287835[/C][C]0.510707543424329[/C][C]0.255353771712165[/C][/ROW]
[ROW][C]19[/C][C]0.622573130603086[/C][C]0.754853738793827[/C][C]0.377426869396914[/C][/ROW]
[ROW][C]20[/C][C]0.606049371478627[/C][C]0.787901257042747[/C][C]0.393950628521373[/C][/ROW]
[ROW][C]21[/C][C]0.584409478841438[/C][C]0.831181042317125[/C][C]0.415590521158562[/C][/ROW]
[ROW][C]22[/C][C]0.672092673786427[/C][C]0.655814652427147[/C][C]0.327907326213573[/C][/ROW]
[ROW][C]23[/C][C]0.930452763340701[/C][C]0.139094473318598[/C][C]0.069547236659299[/C][/ROW]
[ROW][C]24[/C][C]0.895436835821956[/C][C]0.209126328356088[/C][C]0.104563164178044[/C][/ROW]
[ROW][C]25[/C][C]0.941207401888158[/C][C]0.117585196223685[/C][C]0.0587925981118425[/C][/ROW]
[ROW][C]26[/C][C]0.957709832797474[/C][C]0.0845803344050519[/C][C]0.0422901672025259[/C][/ROW]
[ROW][C]27[/C][C]0.960840642596258[/C][C]0.0783187148074835[/C][C]0.0391593574037417[/C][/ROW]
[ROW][C]28[/C][C]0.962071318808952[/C][C]0.0758573623820951[/C][C]0.0379286811910476[/C][/ROW]
[ROW][C]29[/C][C]0.956630393547393[/C][C]0.086739212905215[/C][C]0.0433696064526075[/C][/ROW]
[ROW][C]30[/C][C]0.943294072775628[/C][C]0.113411854448744[/C][C]0.0567059272243718[/C][/ROW]
[ROW][C]31[/C][C]0.978038963863483[/C][C]0.0439220722730337[/C][C]0.0219610361365169[/C][/ROW]
[ROW][C]32[/C][C]0.968993900836164[/C][C]0.0620121983276727[/C][C]0.0310060991638364[/C][/ROW]
[ROW][C]33[/C][C]0.957230246008755[/C][C]0.0855395079824892[/C][C]0.0427697539912446[/C][/ROW]
[ROW][C]34[/C][C]0.941732535849793[/C][C]0.116534928300413[/C][C]0.0582674641502066[/C][/ROW]
[ROW][C]35[/C][C]0.921061304344294[/C][C]0.157877391311412[/C][C]0.0789386956557058[/C][/ROW]
[ROW][C]36[/C][C]0.901524527075594[/C][C]0.196950945848811[/C][C]0.0984754729244055[/C][/ROW]
[ROW][C]37[/C][C]0.872296626562743[/C][C]0.255406746874513[/C][C]0.127703373437257[/C][/ROW]
[ROW][C]38[/C][C]0.838655245997344[/C][C]0.322689508005313[/C][C]0.161344754002656[/C][/ROW]
[ROW][C]39[/C][C]0.890503650145061[/C][C]0.218992699709877[/C][C]0.109496349854939[/C][/ROW]
[ROW][C]40[/C][C]0.91125035384462[/C][C]0.17749929231076[/C][C]0.0887496461553802[/C][/ROW]
[ROW][C]41[/C][C]0.888605813529606[/C][C]0.222788372940787[/C][C]0.111394186470394[/C][/ROW]
[ROW][C]42[/C][C]0.865220403005222[/C][C]0.269559193989555[/C][C]0.134779596994778[/C][/ROW]
[ROW][C]43[/C][C]0.835694707932821[/C][C]0.328610584134357[/C][C]0.164305292067179[/C][/ROW]
[ROW][C]44[/C][C]0.803664710794638[/C][C]0.392670578410725[/C][C]0.196335289205362[/C][/ROW]
[ROW][C]45[/C][C]0.835435172593382[/C][C]0.329129654813236[/C][C]0.164564827406618[/C][/ROW]
[ROW][C]46[/C][C]0.80342985209072[/C][C]0.39314029581856[/C][C]0.19657014790928[/C][/ROW]
[ROW][C]47[/C][C]0.770002509697173[/C][C]0.459994980605654[/C][C]0.229997490302827[/C][/ROW]
[ROW][C]48[/C][C]0.732072567208144[/C][C]0.535854865583712[/C][C]0.267927432791856[/C][/ROW]
[ROW][C]49[/C][C]0.694503181097932[/C][C]0.610993637804137[/C][C]0.305496818902068[/C][/ROW]
[ROW][C]50[/C][C]0.873306803526526[/C][C]0.253386392946948[/C][C]0.126693196473474[/C][/ROW]
[ROW][C]51[/C][C]0.985102128799686[/C][C]0.0297957424006276[/C][C]0.0148978712003138[/C][/ROW]
[ROW][C]52[/C][C]0.985161797343848[/C][C]0.0296764053123043[/C][C]0.0148382026561521[/C][/ROW]
[ROW][C]53[/C][C]0.98251406278295[/C][C]0.0349718744340995[/C][C]0.0174859372170497[/C][/ROW]
[ROW][C]54[/C][C]0.99504376538829[/C][C]0.00991246922341994[/C][C]0.00495623461170997[/C][/ROW]
[ROW][C]55[/C][C]0.997642385122273[/C][C]0.00471522975545443[/C][C]0.00235761487772721[/C][/ROW]
[ROW][C]56[/C][C]0.997886727090557[/C][C]0.00422654581888675[/C][C]0.00211327290944337[/C][/ROW]
[ROW][C]57[/C][C]0.997636520522367[/C][C]0.00472695895526624[/C][C]0.00236347947763312[/C][/ROW]
[ROW][C]58[/C][C]0.997970651595601[/C][C]0.00405869680879872[/C][C]0.00202934840439936[/C][/ROW]
[ROW][C]59[/C][C]0.997152160841459[/C][C]0.00569567831708264[/C][C]0.00284783915854132[/C][/ROW]
[ROW][C]60[/C][C]0.996539854899504[/C][C]0.0069202902009925[/C][C]0.00346014510049625[/C][/ROW]
[ROW][C]61[/C][C]0.995563246042981[/C][C]0.00887350791403734[/C][C]0.00443675395701867[/C][/ROW]
[ROW][C]62[/C][C]0.994276495204662[/C][C]0.0114470095906755[/C][C]0.00572350479533777[/C][/ROW]
[ROW][C]63[/C][C]0.992294864285411[/C][C]0.015410271429178[/C][C]0.00770513571458901[/C][/ROW]
[ROW][C]64[/C][C]0.989716833257939[/C][C]0.0205663334841227[/C][C]0.0102831667420613[/C][/ROW]
[ROW][C]65[/C][C]0.995998649074047[/C][C]0.00800270185190617[/C][C]0.00400135092595308[/C][/ROW]
[ROW][C]66[/C][C]0.995145328850704[/C][C]0.00970934229859187[/C][C]0.00485467114929594[/C][/ROW]
[ROW][C]67[/C][C]0.998668661196743[/C][C]0.00266267760651331[/C][C]0.00133133880325665[/C][/ROW]
[ROW][C]68[/C][C]0.998325325453965[/C][C]0.00334934909207037[/C][C]0.00167467454603519[/C][/ROW]
[ROW][C]69[/C][C]0.998265424972754[/C][C]0.00346915005449275[/C][C]0.00173457502724638[/C][/ROW]
[ROW][C]70[/C][C]0.998341769100064[/C][C]0.00331646179987237[/C][C]0.00165823089993618[/C][/ROW]
[ROW][C]71[/C][C]0.997912672563198[/C][C]0.00417465487360457[/C][C]0.00208732743680229[/C][/ROW]
[ROW][C]72[/C][C]0.997424767722468[/C][C]0.00515046455506323[/C][C]0.00257523227753162[/C][/ROW]
[ROW][C]73[/C][C]0.996711511024233[/C][C]0.0065769779515336[/C][C]0.0032884889757668[/C][/ROW]
[ROW][C]74[/C][C]0.995579602621353[/C][C]0.00884079475729443[/C][C]0.00442039737864721[/C][/ROW]
[ROW][C]75[/C][C]0.996951555875181[/C][C]0.00609688824963741[/C][C]0.0030484441248187[/C][/ROW]
[ROW][C]76[/C][C]0.996207271555234[/C][C]0.00758545688953221[/C][C]0.00379272844476611[/C][/ROW]
[ROW][C]77[/C][C]0.995342116934964[/C][C]0.00931576613007112[/C][C]0.00465788306503556[/C][/ROW]
[ROW][C]78[/C][C]0.994456721204501[/C][C]0.0110865575909975[/C][C]0.00554327879549875[/C][/ROW]
[ROW][C]79[/C][C]0.993908863583466[/C][C]0.0121822728330689[/C][C]0.00609113641653447[/C][/ROW]
[ROW][C]80[/C][C]0.992008672353116[/C][C]0.0159826552937673[/C][C]0.00799132764688366[/C][/ROW]
[ROW][C]81[/C][C]0.99072026494714[/C][C]0.01855947010572[/C][C]0.00927973505286001[/C][/ROW]
[ROW][C]82[/C][C]0.988248326343644[/C][C]0.0235033473127123[/C][C]0.0117516736563562[/C][/ROW]
[ROW][C]83[/C][C]0.999287849142944[/C][C]0.00142430171411239[/C][C]0.000712150857056193[/C][/ROW]
[ROW][C]84[/C][C]0.999122144490496[/C][C]0.00175571101900824[/C][C]0.00087785550950412[/C][/ROW]
[ROW][C]85[/C][C]0.998798492200156[/C][C]0.00240301559968752[/C][C]0.00120150779984376[/C][/ROW]
[ROW][C]86[/C][C]0.998379244647684[/C][C]0.00324151070463176[/C][C]0.00162075535231588[/C][/ROW]
[ROW][C]87[/C][C]0.997835798886656[/C][C]0.00432840222668723[/C][C]0.00216420111334362[/C][/ROW]
[ROW][C]88[/C][C]0.997420043471343[/C][C]0.00515991305731323[/C][C]0.00257995652865662[/C][/ROW]
[ROW][C]89[/C][C]0.99994062981544[/C][C]0.000118740369120871[/C][C]5.93701845604354e-05[/C][/ROW]
[ROW][C]90[/C][C]0.999944084804309[/C][C]0.000111830391382225[/C][C]5.59151956911126e-05[/C][/ROW]
[ROW][C]91[/C][C]0.999970410831951[/C][C]5.91783360980086e-05[/C][C]2.95891680490043e-05[/C][/ROW]
[ROW][C]92[/C][C]0.999969012330511[/C][C]6.19753389782045e-05[/C][C]3.09876694891023e-05[/C][/ROW]
[ROW][C]93[/C][C]0.999958001557765[/C][C]8.39968844695878e-05[/C][C]4.19984422347939e-05[/C][/ROW]
[ROW][C]94[/C][C]0.999953668298131[/C][C]9.26634037387628e-05[/C][C]4.63317018693814e-05[/C][/ROW]
[ROW][C]95[/C][C]0.999935727163164[/C][C]0.000128545673671977[/C][C]6.42728368359885e-05[/C][/ROW]
[ROW][C]96[/C][C]0.999925142103227[/C][C]0.000149715793546015[/C][C]7.48578967730077e-05[/C][/ROW]
[ROW][C]97[/C][C]0.999905821819332[/C][C]0.000188356361336118[/C][C]9.41781806680591e-05[/C][/ROW]
[ROW][C]98[/C][C]0.99998404022087[/C][C]3.19195582598675e-05[/C][C]1.59597791299337e-05[/C][/ROW]
[ROW][C]99[/C][C]0.99998003641429[/C][C]3.99271714206787e-05[/C][C]1.99635857103394e-05[/C][/ROW]
[ROW][C]100[/C][C]0.999973111037124[/C][C]5.37779257525298e-05[/C][C]2.68889628762649e-05[/C][/ROW]
[ROW][C]101[/C][C]0.999960789911104[/C][C]7.84201777919975e-05[/C][C]3.92100888959987e-05[/C][/ROW]
[ROW][C]102[/C][C]0.999943537074611[/C][C]0.000112925850778837[/C][C]5.64629253894185e-05[/C][/ROW]
[ROW][C]103[/C][C]0.999971698411018[/C][C]5.66031779646255e-05[/C][C]2.83015889823127e-05[/C][/ROW]
[ROW][C]104[/C][C]0.999963954736076[/C][C]7.20905278470076e-05[/C][C]3.60452639235038e-05[/C][/ROW]
[ROW][C]105[/C][C]0.999948373438549[/C][C]0.000103253122900996[/C][C]5.1626561450498e-05[/C][/ROW]
[ROW][C]106[/C][C]0.999930788753899[/C][C]0.000138422492201813[/C][C]6.92112461009065e-05[/C][/ROW]
[ROW][C]107[/C][C]0.999965511233768[/C][C]6.89775324636403e-05[/C][C]3.44887662318201e-05[/C][/ROW]
[ROW][C]108[/C][C]0.999950061023688[/C][C]9.98779526247732e-05[/C][C]4.99389763123866e-05[/C][/ROW]
[ROW][C]109[/C][C]0.999935545317846[/C][C]0.000128909364308656[/C][C]6.44546821543278e-05[/C][/ROW]
[ROW][C]110[/C][C]0.999935973999556[/C][C]0.000128052000887448[/C][C]6.40260004437241e-05[/C][/ROW]
[ROW][C]111[/C][C]0.999929734758086[/C][C]0.000140530483827696[/C][C]7.02652419138482e-05[/C][/ROW]
[ROW][C]112[/C][C]0.999904184817465[/C][C]0.000191630365069096[/C][C]9.58151825345478e-05[/C][/ROW]
[ROW][C]113[/C][C]0.999872642522196[/C][C]0.000254714955608862[/C][C]0.000127357477804431[/C][/ROW]
[ROW][C]114[/C][C]0.999821413107478[/C][C]0.000357173785044682[/C][C]0.000178586892522341[/C][/ROW]
[ROW][C]115[/C][C]0.999788938354087[/C][C]0.000422123291825233[/C][C]0.000211061645912617[/C][/ROW]
[ROW][C]116[/C][C]0.999721311613523[/C][C]0.000557376772954647[/C][C]0.000278688386477323[/C][/ROW]
[ROW][C]117[/C][C]0.99961621355915[/C][C]0.000767572881700528[/C][C]0.000383786440850264[/C][/ROW]
[ROW][C]118[/C][C]0.999792631715084[/C][C]0.000414736569831359[/C][C]0.000207368284915679[/C][/ROW]
[ROW][C]119[/C][C]0.999975453534809[/C][C]4.90929303821023e-05[/C][C]2.45464651910512e-05[/C][/ROW]
[ROW][C]120[/C][C]0.999968876835164[/C][C]6.22463296722681e-05[/C][C]3.11231648361341e-05[/C][/ROW]
[ROW][C]121[/C][C]0.999954917991279[/C][C]9.01640174426319e-05[/C][C]4.5082008721316e-05[/C][/ROW]
[ROW][C]122[/C][C]0.999973239159418[/C][C]5.35216811639625e-05[/C][C]2.67608405819813e-05[/C][/ROW]
[ROW][C]123[/C][C]0.999975631984226[/C][C]4.87360315474439e-05[/C][C]2.43680157737219e-05[/C][/ROW]
[ROW][C]124[/C][C]0.999986774350168[/C][C]2.64512996636188e-05[/C][C]1.32256498318094e-05[/C][/ROW]
[ROW][C]125[/C][C]0.999986967471828[/C][C]2.60650563431945e-05[/C][C]1.30325281715973e-05[/C][/ROW]
[ROW][C]126[/C][C]0.999981967290664[/C][C]3.60654186723481e-05[/C][C]1.8032709336174e-05[/C][/ROW]
[ROW][C]127[/C][C]0.999974721416872[/C][C]5.05571662558464e-05[/C][C]2.52785831279232e-05[/C][/ROW]
[ROW][C]128[/C][C]0.999963754034717[/C][C]7.24919305654681e-05[/C][C]3.62459652827341e-05[/C][/ROW]
[ROW][C]129[/C][C]0.999990321018879[/C][C]1.93579622423411e-05[/C][C]9.67898112117056e-06[/C][/ROW]
[ROW][C]130[/C][C]0.999985828707009[/C][C]2.83425859816589e-05[/C][C]1.41712929908295e-05[/C][/ROW]
[ROW][C]131[/C][C]0.999979303947666[/C][C]4.13921046679602e-05[/C][C]2.06960523339801e-05[/C][/ROW]
[ROW][C]132[/C][C]0.999974816411067[/C][C]5.03671778666053e-05[/C][C]2.51835889333027e-05[/C][/ROW]
[ROW][C]133[/C][C]0.999967044757114[/C][C]6.59104857726466e-05[/C][C]3.29552428863233e-05[/C][/ROW]
[ROW][C]134[/C][C]0.999983258520961[/C][C]3.3482958078771e-05[/C][C]1.67414790393855e-05[/C][/ROW]
[ROW][C]135[/C][C]0.999978677431334[/C][C]4.26451373313851e-05[/C][C]2.13225686656926e-05[/C][/ROW]
[ROW][C]136[/C][C]0.999971697558568[/C][C]5.66048828642176e-05[/C][C]2.83024414321088e-05[/C][/ROW]
[ROW][C]137[/C][C]0.999959173076034[/C][C]8.16538479321689e-05[/C][C]4.08269239660845e-05[/C][/ROW]
[ROW][C]138[/C][C]0.99994736415492[/C][C]0.000105271690159978[/C][C]5.26358450799892e-05[/C][/ROW]
[ROW][C]139[/C][C]0.999940434445341[/C][C]0.000119131109317969[/C][C]5.95655546589847e-05[/C][/ROW]
[ROW][C]140[/C][C]0.999916800549805[/C][C]0.000166398900390614[/C][C]8.31994501953071e-05[/C][/ROW]
[ROW][C]141[/C][C]0.999907900987004[/C][C]0.000184198025992307[/C][C]9.20990129961536e-05[/C][/ROW]
[ROW][C]142[/C][C]0.999878712488913[/C][C]0.00024257502217455[/C][C]0.000121287511087275[/C][/ROW]
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[ROW][C]146[/C][C]0.999943210976065[/C][C]0.000113578047870215[/C][C]5.67890239351073e-05[/C][/ROW]
[ROW][C]147[/C][C]0.999964028718611[/C][C]7.19425627785832e-05[/C][C]3.59712813892916e-05[/C][/ROW]
[ROW][C]148[/C][C]0.999959715810032[/C][C]8.05683799355197e-05[/C][C]4.02841899677598e-05[/C][/ROW]
[ROW][C]149[/C][C]0.999951681414865[/C][C]9.66371702705195e-05[/C][C]4.83185851352597e-05[/C][/ROW]
[ROW][C]150[/C][C]0.999933248732154[/C][C]0.000133502535691564[/C][C]6.67512678457822e-05[/C][/ROW]
[ROW][C]151[/C][C]0.999945807389308[/C][C]0.000108385221383438[/C][C]5.4192610691719e-05[/C][/ROW]
[ROW][C]152[/C][C]0.999926797078676[/C][C]0.000146405842647421[/C][C]7.32029213237103e-05[/C][/ROW]
[ROW][C]153[/C][C]0.999907107635289[/C][C]0.000185784729422329[/C][C]9.28923647111643e-05[/C][/ROW]
[ROW][C]154[/C][C]0.999868502161741[/C][C]0.000262995676517638[/C][C]0.000131497838258819[/C][/ROW]
[ROW][C]155[/C][C]0.999918842400012[/C][C]0.000162315199975511[/C][C]8.11575999877557e-05[/C][/ROW]
[ROW][C]156[/C][C]0.999898833912726[/C][C]0.000202332174548043[/C][C]0.000101166087274022[/C][/ROW]
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[ROW][C]160[/C][C]0.999875798083143[/C][C]0.000248403833714296[/C][C]0.000124201916857148[/C][/ROW]
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[ROW][C]166[/C][C]0.999802906272032[/C][C]0.000394187455934939[/C][C]0.000197093727967469[/C][/ROW]
[ROW][C]167[/C][C]0.999740934024871[/C][C]0.000518131950258407[/C][C]0.000259065975129203[/C][/ROW]
[ROW][C]168[/C][C]0.999737302085072[/C][C]0.000525395829855403[/C][C]0.000262697914927702[/C][/ROW]
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[ROW][C]171[/C][C]0.999987237801396[/C][C]2.5524397207049e-05[/C][C]1.27621986035245e-05[/C][/ROW]
[ROW][C]172[/C][C]0.999986604218836[/C][C]2.67915623273443e-05[/C][C]1.33957811636722e-05[/C][/ROW]
[ROW][C]173[/C][C]0.999996158665143[/C][C]7.68266971441899e-06[/C][C]3.8413348572095e-06[/C][/ROW]
[ROW][C]174[/C][C]0.999999256827295[/C][C]1.48634541023016e-06[/C][C]7.43172705115082e-07[/C][/ROW]
[ROW][C]175[/C][C]0.999999400235661[/C][C]1.19952867788466e-06[/C][C]5.99764338942329e-07[/C][/ROW]
[ROW][C]176[/C][C]0.999999106579297[/C][C]1.78684140598871e-06[/C][C]8.93420702994353e-07[/C][/ROW]
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[ROW][C]179[/C][C]0.999998282436515[/C][C]3.43512696980414e-06[/C][C]1.71756348490207e-06[/C][/ROW]
[ROW][C]180[/C][C]0.999998641456946[/C][C]2.71708610777138e-06[/C][C]1.35854305388569e-06[/C][/ROW]
[ROW][C]181[/C][C]0.999998037993564[/C][C]3.92401287116404e-06[/C][C]1.96200643558202e-06[/C][/ROW]
[ROW][C]182[/C][C]0.999998837609999[/C][C]2.32478000147585e-06[/C][C]1.16239000073793e-06[/C][/ROW]
[ROW][C]183[/C][C]0.999998148067565[/C][C]3.70386486923185e-06[/C][C]1.85193243461592e-06[/C][/ROW]
[ROW][C]184[/C][C]0.999997969355094[/C][C]4.06128981195875e-06[/C][C]2.03064490597938e-06[/C][/ROW]
[ROW][C]185[/C][C]0.999997584444746[/C][C]4.83111050905806e-06[/C][C]2.41555525452903e-06[/C][/ROW]
[ROW][C]186[/C][C]0.999996432475667[/C][C]7.13504866514341e-06[/C][C]3.56752433257171e-06[/C][/ROW]
[ROW][C]187[/C][C]0.999995252751055[/C][C]9.49449788919145e-06[/C][C]4.74724894459572e-06[/C][/ROW]
[ROW][C]188[/C][C]0.999992704283927[/C][C]1.45914321468233e-05[/C][C]7.29571607341163e-06[/C][/ROW]
[ROW][C]189[/C][C]0.999989859192501[/C][C]2.02816149986356e-05[/C][C]1.01408074993178e-05[/C][/ROW]
[ROW][C]190[/C][C]0.999992090838718[/C][C]1.58183225642273e-05[/C][C]7.90916128211366e-06[/C][/ROW]
[ROW][C]191[/C][C]0.999999778654117[/C][C]4.42691766120686e-07[/C][C]2.21345883060343e-07[/C][/ROW]
[ROW][C]192[/C][C]0.999999625643751[/C][C]7.48712497123899e-07[/C][C]3.7435624856195e-07[/C][/ROW]
[ROW][C]193[/C][C]0.999999391139911[/C][C]1.21772017899408e-06[/C][C]6.0886008949704e-07[/C][/ROW]
[ROW][C]194[/C][C]0.999999062139404[/C][C]1.87572119176735e-06[/C][C]9.37860595883674e-07[/C][/ROW]
[ROW][C]195[/C][C]0.999999013943474[/C][C]1.97211305110088e-06[/C][C]9.86056525550438e-07[/C][/ROW]
[ROW][C]196[/C][C]0.999999062603699[/C][C]1.87479260234732e-06[/C][C]9.37396301173661e-07[/C][/ROW]
[ROW][C]197[/C][C]0.999998847071708[/C][C]2.30585658317423e-06[/C][C]1.15292829158712e-06[/C][/ROW]
[ROW][C]198[/C][C]0.999998212620322[/C][C]3.57475935662152e-06[/C][C]1.78737967831076e-06[/C][/ROW]
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[ROW][C]200[/C][C]0.999997545749652[/C][C]4.90850069663328e-06[/C][C]2.45425034831664e-06[/C][/ROW]
[ROW][C]201[/C][C]0.999996517105013[/C][C]6.96578997353467e-06[/C][C]3.48289498676733e-06[/C][/ROW]
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[ROW][C]203[/C][C]0.999993939553342[/C][C]1.21208933157191e-05[/C][C]6.06044665785954e-06[/C][/ROW]
[ROW][C]204[/C][C]0.999990177043142[/C][C]1.96459137168545e-05[/C][C]9.82295685842727e-06[/C][/ROW]
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[ROW][C]207[/C][C]0.999966357160329[/C][C]6.72856793418546e-05[/C][C]3.36428396709273e-05[/C][/ROW]
[ROW][C]208[/C][C]0.999991939310887[/C][C]1.61213782265811e-05[/C][C]8.06068911329057e-06[/C][/ROW]
[ROW][C]209[/C][C]0.999995363295658[/C][C]9.2734086841607e-06[/C][C]4.63670434208035e-06[/C][/ROW]
[ROW][C]210[/C][C]0.999992300798056[/C][C]1.53984038889625e-05[/C][C]7.69920194448124e-06[/C][/ROW]
[ROW][C]211[/C][C]0.999988438855264[/C][C]2.31222894711629e-05[/C][C]1.15611447355815e-05[/C][/ROW]
[ROW][C]212[/C][C]0.999996419486572[/C][C]7.16102685693749e-06[/C][C]3.58051342846874e-06[/C][/ROW]
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[ROW][C]216[/C][C]0.999978127892703[/C][C]4.37442145934213e-05[/C][C]2.18721072967107e-05[/C][/ROW]
[ROW][C]217[/C][C]0.999991056400567[/C][C]1.78871988665107e-05[/C][C]8.94359943325536e-06[/C][/ROW]
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[ROW][C]219[/C][C]0.999976425723699[/C][C]4.71485526018566e-05[/C][C]2.35742763009283e-05[/C][/ROW]
[ROW][C]220[/C][C]0.999965717389025[/C][C]6.85652219507972e-05[/C][C]3.42826109753986e-05[/C][/ROW]
[ROW][C]221[/C][C]0.999956983308562[/C][C]8.60333828753151e-05[/C][C]4.30166914376575e-05[/C][/ROW]
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[ROW][C]224[/C][C]0.999983327332758[/C][C]3.33453344834239e-05[/C][C]1.6672667241712e-05[/C][/ROW]
[ROW][C]225[/C][C]0.999971470451028[/C][C]5.70590979441754e-05[/C][C]2.85295489720877e-05[/C][/ROW]
[ROW][C]226[/C][C]0.999959134457707[/C][C]8.17310845853712e-05[/C][C]4.08655422926856e-05[/C][/ROW]
[ROW][C]227[/C][C]0.999942515986217[/C][C]0.000114968027566888[/C][C]5.74840137834441e-05[/C][/ROW]
[ROW][C]228[/C][C]0.999932946581322[/C][C]0.000134106837355247[/C][C]6.70534186776235e-05[/C][/ROW]
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[ROW][C]233[/C][C]0.999999626571942[/C][C]7.46856116843684e-07[/C][C]3.73428058421842e-07[/C][/ROW]
[ROW][C]234[/C][C]0.999999282045418[/C][C]1.43590916484366e-06[/C][C]7.17954582421831e-07[/C][/ROW]
[ROW][C]235[/C][C]0.999998584178526[/C][C]2.83164294839248e-06[/C][C]1.41582147419624e-06[/C][/ROW]
[ROW][C]236[/C][C]0.999997246875049[/C][C]5.50624990173916e-06[/C][C]2.75312495086958e-06[/C][/ROW]
[ROW][C]237[/C][C]0.999999989090424[/C][C]2.18191527940511e-08[/C][C]1.09095763970256e-08[/C][/ROW]
[ROW][C]238[/C][C]0.999999974330065[/C][C]5.13398697732587e-08[/C][C]2.56699348866294e-08[/C][/ROW]
[ROW][C]239[/C][C]0.999999942467507[/C][C]1.15064986237615e-07[/C][C]5.75324931188075e-08[/C][/ROW]
[ROW][C]240[/C][C]0.999999891359091[/C][C]2.17281818166833e-07[/C][C]1.08640909083416e-07[/C][/ROW]
[ROW][C]241[/C][C]0.999999759395738[/C][C]4.81208523516579e-07[/C][C]2.40604261758289e-07[/C][/ROW]
[ROW][C]242[/C][C]0.999999556009619[/C][C]8.87980761855021e-07[/C][C]4.43990380927511e-07[/C][/ROW]
[ROW][C]243[/C][C]0.999999137872667[/C][C]1.72425466645348e-06[/C][C]8.6212733322674e-07[/C][/ROW]
[ROW][C]244[/C][C]0.999998135514112[/C][C]3.72897177665154e-06[/C][C]1.86448588832577e-06[/C][/ROW]
[ROW][C]245[/C][C]0.999997235652059[/C][C]5.52869588187256e-06[/C][C]2.76434794093628e-06[/C][/ROW]
[ROW][C]246[/C][C]0.999994715427697[/C][C]1.05691446062812e-05[/C][C]5.28457230314059e-06[/C][/ROW]
[ROW][C]247[/C][C]0.999996191712384[/C][C]7.61657523120394e-06[/C][C]3.80828761560197e-06[/C][/ROW]
[ROW][C]248[/C][C]0.999992707625356[/C][C]1.45847492874063e-05[/C][C]7.29237464370315e-06[/C][/ROW]
[ROW][C]249[/C][C]0.999987252762287[/C][C]2.54944754267707e-05[/C][C]1.27472377133853e-05[/C][/ROW]
[ROW][C]250[/C][C]0.999982927854735[/C][C]3.41442905301022e-05[/C][C]1.70721452650511e-05[/C][/ROW]
[ROW][C]251[/C][C]0.999972684271976[/C][C]5.46314560473626e-05[/C][C]2.73157280236813e-05[/C][/ROW]
[ROW][C]252[/C][C]0.999953568272005[/C][C]9.28634559902128e-05[/C][C]4.64317279951064e-05[/C][/ROW]
[ROW][C]253[/C][C]0.999897937358376[/C][C]0.000204125283248991[/C][C]0.000102062641624495[/C][/ROW]
[ROW][C]254[/C][C]0.999786736423473[/C][C]0.000426527153053803[/C][C]0.000213263576526901[/C][/ROW]
[ROW][C]255[/C][C]0.999806979645225[/C][C]0.000386040709549619[/C][C]0.000193020354774809[/C][/ROW]
[ROW][C]256[/C][C]0.999583435813047[/C][C]0.000833128373906066[/C][C]0.000416564186953033[/C][/ROW]
[ROW][C]257[/C][C]0.99943352720227[/C][C]0.00113294559546033[/C][C]0.000566472797730166[/C][/ROW]
[ROW][C]258[/C][C]0.999631890460123[/C][C]0.000736219079754302[/C][C]0.000368109539877151[/C][/ROW]
[ROW][C]259[/C][C]0.999213891127389[/C][C]0.00157221774522225[/C][C]0.000786108872611123[/C][/ROW]
[ROW][C]260[/C][C]0.998612106887596[/C][C]0.00277578622480781[/C][C]0.00138789311240391[/C][/ROW]
[ROW][C]261[/C][C]0.997503993177889[/C][C]0.00499201364422127[/C][C]0.00249600682211063[/C][/ROW]
[ROW][C]262[/C][C]0.99477279372666[/C][C]0.0104544125466801[/C][C]0.00522720627334004[/C][/ROW]
[ROW][C]263[/C][C]0.992820266590992[/C][C]0.0143594668180162[/C][C]0.00717973340900812[/C][/ROW]
[ROW][C]264[/C][C]0.993462588042644[/C][C]0.0130748239147113[/C][C]0.00653741195735565[/C][/ROW]
[ROW][C]265[/C][C]0.990010584654752[/C][C]0.019978830690497[/C][C]0.00998941534524848[/C][/ROW]
[ROW][C]266[/C][C]0.979984967494955[/C][C]0.0400300650100905[/C][C]0.0200150325050453[/C][/ROW]
[ROW][C]267[/C][C]0.962489584768551[/C][C]0.0750208304628972[/C][C]0.0375104152314486[/C][/ROW]
[ROW][C]268[/C][C]0.939757953390152[/C][C]0.120484093219696[/C][C]0.0602420466098478[/C][/ROW]
[ROW][C]269[/C][C]0.999747560869662[/C][C]0.000504878260675959[/C][C]0.000252439130337979[/C][/ROW]
[ROW][C]270[/C][C]0.999733685542159[/C][C]0.00053262891568128[/C][C]0.00026631445784064[/C][/ROW]
[ROW][C]271[/C][C]0.997539542979341[/C][C]0.00492091404131889[/C][C]0.00246045702065944[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159830&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159830&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
180.7446462282878350.5107075434243290.255353771712165
190.6225731306030860.7548537387938270.377426869396914
200.6060493714786270.7879012570427470.393950628521373
210.5844094788414380.8311810423171250.415590521158562
220.6720926737864270.6558146524271470.327907326213573
230.9304527633407010.1390944733185980.069547236659299
240.8954368358219560.2091263283560880.104563164178044
250.9412074018881580.1175851962236850.0587925981118425
260.9577098327974740.08458033440505190.0422901672025259
270.9608406425962580.07831871480748350.0391593574037417
280.9620713188089520.07585736238209510.0379286811910476
290.9566303935473930.0867392129052150.0433696064526075
300.9432940727756280.1134118544487440.0567059272243718
310.9780389638634830.04392207227303370.0219610361365169
320.9689939008361640.06201219832767270.0310060991638364
330.9572302460087550.08553950798248920.0427697539912446
340.9417325358497930.1165349283004130.0582674641502066
350.9210613043442940.1578773913114120.0789386956557058
360.9015245270755940.1969509458488110.0984754729244055
370.8722966265627430.2554067468745130.127703373437257
380.8386552459973440.3226895080053130.161344754002656
390.8905036501450610.2189926997098770.109496349854939
400.911250353844620.177499292310760.0887496461553802
410.8886058135296060.2227883729407870.111394186470394
420.8652204030052220.2695591939895550.134779596994778
430.8356947079328210.3286105841343570.164305292067179
440.8036647107946380.3926705784107250.196335289205362
450.8354351725933820.3291296548132360.164564827406618
460.803429852090720.393140295818560.19657014790928
470.7700025096971730.4599949806056540.229997490302827
480.7320725672081440.5358548655837120.267927432791856
490.6945031810979320.6109936378041370.305496818902068
500.8733068035265260.2533863929469480.126693196473474
510.9851021287996860.02979574240062760.0148978712003138
520.9851617973438480.02967640531230430.0148382026561521
530.982514062782950.03497187443409950.0174859372170497
540.995043765388290.009912469223419940.00495623461170997
550.9976423851222730.004715229755454430.00235761487772721
560.9978867270905570.004226545818886750.00211327290944337
570.9976365205223670.004726958955266240.00236347947763312
580.9979706515956010.004058696808798720.00202934840439936
590.9971521608414590.005695678317082640.00284783915854132
600.9965398548995040.00692029020099250.00346014510049625
610.9955632460429810.008873507914037340.00443675395701867
620.9942764952046620.01144700959067550.00572350479533777
630.9922948642854110.0154102714291780.00770513571458901
640.9897168332579390.02056633348412270.0102831667420613
650.9959986490740470.008002701851906170.00400135092595308
660.9951453288507040.009709342298591870.00485467114929594
670.9986686611967430.002662677606513310.00133133880325665
680.9983253254539650.003349349092070370.00167467454603519
690.9982654249727540.003469150054492750.00173457502724638
700.9983417691000640.003316461799872370.00165823089993618
710.9979126725631980.004174654873604570.00208732743680229
720.9974247677224680.005150464555063230.00257523227753162
730.9967115110242330.00657697795153360.0032884889757668
740.9955796026213530.008840794757294430.00442039737864721
750.9969515558751810.006096888249637410.0030484441248187
760.9962072715552340.007585456889532210.00379272844476611
770.9953421169349640.009315766130071120.00465788306503556
780.9944567212045010.01108655759099750.00554327879549875
790.9939088635834660.01218227283306890.00609113641653447
800.9920086723531160.01598265529376730.00799132764688366
810.990720264947140.018559470105720.00927973505286001
820.9882483263436440.02350334731271230.0117516736563562
830.9992878491429440.001424301714112390.000712150857056193
840.9991221444904960.001755711019008240.00087785550950412
850.9987984922001560.002403015599687520.00120150779984376
860.9983792446476840.003241510704631760.00162075535231588
870.9978357988866560.004328402226687230.00216420111334362
880.9974200434713430.005159913057313230.00257995652865662
890.999940629815440.0001187403691208715.93701845604354e-05
900.9999440848043090.0001118303913822255.59151956911126e-05
910.9999704108319515.91783360980086e-052.95891680490043e-05
920.9999690123305116.19753389782045e-053.09876694891023e-05
930.9999580015577658.39968844695878e-054.19984422347939e-05
940.9999536682981319.26634037387628e-054.63317018693814e-05
950.9999357271631640.0001285456736719776.42728368359885e-05
960.9999251421032270.0001497157935460157.48578967730077e-05
970.9999058218193320.0001883563613361189.41781806680591e-05
980.999984040220873.19195582598675e-051.59597791299337e-05
990.999980036414293.99271714206787e-051.99635857103394e-05
1000.9999731110371245.37779257525298e-052.68889628762649e-05
1010.9999607899111047.84201777919975e-053.92100888959987e-05
1020.9999435370746110.0001129258507788375.64629253894185e-05
1030.9999716984110185.66031779646255e-052.83015889823127e-05
1040.9999639547360767.20905278470076e-053.60452639235038e-05
1050.9999483734385490.0001032531229009965.1626561450498e-05
1060.9999307887538990.0001384224922018136.92112461009065e-05
1070.9999655112337686.89775324636403e-053.44887662318201e-05
1080.9999500610236889.98779526247732e-054.99389763123866e-05
1090.9999355453178460.0001289093643086566.44546821543278e-05
1100.9999359739995560.0001280520008874486.40260004437241e-05
1110.9999297347580860.0001405304838276967.02652419138482e-05
1120.9999041848174650.0001916303650690969.58151825345478e-05
1130.9998726425221960.0002547149556088620.000127357477804431
1140.9998214131074780.0003571737850446820.000178586892522341
1150.9997889383540870.0004221232918252330.000211061645912617
1160.9997213116135230.0005573767729546470.000278688386477323
1170.999616213559150.0007675728817005280.000383786440850264
1180.9997926317150840.0004147365698313590.000207368284915679
1190.9999754535348094.90929303821023e-052.45464651910512e-05
1200.9999688768351646.22463296722681e-053.11231648361341e-05
1210.9999549179912799.01640174426319e-054.5082008721316e-05
1220.9999732391594185.35216811639625e-052.67608405819813e-05
1230.9999756319842264.87360315474439e-052.43680157737219e-05
1240.9999867743501682.64512996636188e-051.32256498318094e-05
1250.9999869674718282.60650563431945e-051.30325281715973e-05
1260.9999819672906643.60654186723481e-051.8032709336174e-05
1270.9999747214168725.05571662558464e-052.52785831279232e-05
1280.9999637540347177.24919305654681e-053.62459652827341e-05
1290.9999903210188791.93579622423411e-059.67898112117056e-06
1300.9999858287070092.83425859816589e-051.41712929908295e-05
1310.9999793039476664.13921046679602e-052.06960523339801e-05
1320.9999748164110675.03671778666053e-052.51835889333027e-05
1330.9999670447571146.59104857726466e-053.29552428863233e-05
1340.9999832585209613.3482958078771e-051.67414790393855e-05
1350.9999786774313344.26451373313851e-052.13225686656926e-05
1360.9999716975585685.66048828642176e-052.83024414321088e-05
1370.9999591730760348.16538479321689e-054.08269239660845e-05
1380.999947364154920.0001052716901599785.26358450799892e-05
1390.9999404344453410.0001191311093179695.95655546589847e-05
1400.9999168005498050.0001663989003906148.31994501953071e-05
1410.9999079009870040.0001841980259923079.20990129961536e-05
1420.9998787124889130.000242575022174550.000121287511087275
1430.9998767559767330.0002464880465333820.000123244023266691
1440.99993450158860.0001309968227996826.54984113998408e-05
1450.9999557281450748.85437098519764e-054.42718549259882e-05
1460.9999432109760650.0001135780478702155.67890239351073e-05
1470.9999640287186117.19425627785832e-053.59712813892916e-05
1480.9999597158100328.05683799355197e-054.02841899677598e-05
1490.9999516814148659.66371702705195e-054.83185851352597e-05
1500.9999332487321540.0001335025356915646.67512678457822e-05
1510.9999458073893080.0001083852213834385.4192610691719e-05
1520.9999267970786760.0001464058426474217.32029213237103e-05
1530.9999071076352890.0001857847294223299.28923647111643e-05
1540.9998685021617410.0002629956765176380.000131497838258819
1550.9999188424000120.0001623151999755118.11575999877557e-05
1560.9998988339127260.0002023321745480430.000101166087274022
1570.999858772393040.0002824552139207240.000141227606960362
1580.9998751468795420.0002497062409157030.000124853120457851
1590.9999041207089110.0001917585821781389.58792910890691e-05
1600.9998757980831430.0002484038337142960.000124201916857148
1610.9998313708689880.0003372582620235460.000168629131011773
1620.9998178322548230.0003643354903540970.000182167745177049
1630.9998093922351320.000381215529735370.000190607764867685
1640.9998171362318760.0003657275362486540.000182863768124327
1650.999802347910430.0003953041791403340.000197652089570167
1660.9998029062720320.0003941874559349390.000197093727967469
1670.9997409340248710.0005181319502584070.000259065975129203
1680.9997373020850720.0005253958298554030.000262697914927702
1690.9996569193232740.0006861613534520580.000343080676726029
1700.9999903595244161.92809511680082e-059.6404755840041e-06
1710.9999872378013962.5524397207049e-051.27621986035245e-05
1720.9999866042188362.67915623273443e-051.33957811636722e-05
1730.9999961586651437.68266971441899e-063.8413348572095e-06
1740.9999992568272951.48634541023016e-067.43172705115082e-07
1750.9999994002356611.19952867788466e-065.99764338942329e-07
1760.9999991065792971.78684140598871e-068.93420702994353e-07
1770.9999990480866321.90382673614795e-069.51913368073976e-07
1780.9999988478567862.30428642874861e-061.1521432143743e-06
1790.9999982824365153.43512696980414e-061.71756348490207e-06
1800.9999986414569462.71708610777138e-061.35854305388569e-06
1810.9999980379935643.92401287116404e-061.96200643558202e-06
1820.9999988376099992.32478000147585e-061.16239000073793e-06
1830.9999981480675653.70386486923185e-061.85193243461592e-06
1840.9999979693550944.06128981195875e-062.03064490597938e-06
1850.9999975844447464.83111050905806e-062.41555525452903e-06
1860.9999964324756677.13504866514341e-063.56752433257171e-06
1870.9999952527510559.49449788919145e-064.74724894459572e-06
1880.9999927042839271.45914321468233e-057.29571607341163e-06
1890.9999898591925012.02816149986356e-051.01408074993178e-05
1900.9999920908387181.58183225642273e-057.90916128211366e-06
1910.9999997786541174.42691766120686e-072.21345883060343e-07
1920.9999996256437517.48712497123899e-073.7435624856195e-07
1930.9999993911399111.21772017899408e-066.0886008949704e-07
1940.9999990621394041.87572119176735e-069.37860595883674e-07
1950.9999990139434741.97211305110088e-069.86056525550438e-07
1960.9999990626036991.87479260234732e-069.37396301173661e-07
1970.9999988470717082.30585658317423e-061.15292829158712e-06
1980.9999982126203223.57475935662152e-061.78737967831076e-06
1990.9999983138233013.37235339765802e-061.68617669882901e-06
2000.9999975457496524.90850069663328e-062.45425034831664e-06
2010.9999965171050136.96578997353467e-063.48289498676733e-06
2020.9999944901044191.10197911624982e-055.50989558124908e-06
2030.9999939395533421.21208933157191e-056.06044665785954e-06
2040.9999901770431421.96459137168545e-059.82295685842727e-06
2050.9999859452891712.81094216586993e-051.40547108293496e-05
2060.9999782216425224.3556714956154e-052.1778357478077e-05
2070.9999663571603296.72856793418546e-053.36428396709273e-05
2080.9999919393108871.61213782265811e-058.06068911329057e-06
2090.9999953632956589.2734086841607e-064.63670434208035e-06
2100.9999923007980561.53984038889625e-057.69920194448124e-06
2110.9999884388552642.31222894711629e-051.15611447355815e-05
2120.9999964194865727.16102685693749e-063.58051342846874e-06
2130.9999940816472481.18367055037485e-055.91835275187427e-06
2140.9999904204243091.91591513822603e-059.57957569113013e-06
2150.9999848465097623.03069804749606e-051.51534902374803e-05
2160.9999781278927034.37442145934213e-052.18721072967107e-05
2170.9999910564005671.78871988665107e-058.94359943325536e-06
2180.999985092292472.98154150594591e-051.49077075297296e-05
2190.9999764257236994.71485526018566e-052.35742763009283e-05
2200.9999657173890256.85652219507972e-053.42826109753986e-05
2210.9999569833085628.60333828753151e-054.30166914376575e-05
2220.9999881631363662.36737272682183e-051.18368636341092e-05
2230.9999902570914141.94858171725112e-059.74290858625559e-06
2240.9999833273327583.33453344834239e-051.6672667241712e-05
2250.9999714704510285.70590979441754e-052.85295489720877e-05
2260.9999591344577078.17310845853712e-054.08655422926856e-05
2270.9999425159862170.0001149680275668885.74840137834441e-05
2280.9999329465813220.0001341068373552476.70534186776235e-05
2290.9998880593622350.0002238812755304550.000111940637765228
2300.999938809868970.0001223802620599686.11901310299842e-05
2310.9999430298182130.0001139403635741085.6970181787054e-05
2320.9999029157977640.0001941684044724559.70842022362273e-05
2330.9999996265719427.46856116843684e-073.73428058421842e-07
2340.9999992820454181.43590916484366e-067.17954582421831e-07
2350.9999985841785262.83164294839248e-061.41582147419624e-06
2360.9999972468750495.50624990173916e-062.75312495086958e-06
2370.9999999890904242.18191527940511e-081.09095763970256e-08
2380.9999999743300655.13398697732587e-082.56699348866294e-08
2390.9999999424675071.15064986237615e-075.75324931188075e-08
2400.9999998913590912.17281818166833e-071.08640909083416e-07
2410.9999997593957384.81208523516579e-072.40604261758289e-07
2420.9999995560096198.87980761855021e-074.43990380927511e-07
2430.9999991378726671.72425466645348e-068.6212733322674e-07
2440.9999981355141123.72897177665154e-061.86448588832577e-06
2450.9999972356520595.52869588187256e-062.76434794093628e-06
2460.9999947154276971.05691446062812e-055.28457230314059e-06
2470.9999961917123847.61657523120394e-063.80828761560197e-06
2480.9999927076253561.45847492874063e-057.29237464370315e-06
2490.9999872527622872.54944754267707e-051.27472377133853e-05
2500.9999829278547353.41442905301022e-051.70721452650511e-05
2510.9999726842719765.46314560473626e-052.73157280236813e-05
2520.9999535682720059.28634559902128e-054.64317279951064e-05
2530.9998979373583760.0002041252832489910.000102062641624495
2540.9997867364234730.0004265271530538030.000213263576526901
2550.9998069796452250.0003860407095496190.000193020354774809
2560.9995834358130470.0008331283739060660.000416564186953033
2570.999433527202270.001132945595460330.000566472797730166
2580.9996318904601230.0007362190797543020.000368109539877151
2590.9992138911273890.001572217745222250.000786108872611123
2600.9986121068875960.002775786224807810.00138789311240391
2610.9975039931778890.004992013644221270.00249600682211063
2620.994772793726660.01045441254668010.00522720627334004
2630.9928202665909920.01435946681801620.00717973340900812
2640.9934625880426440.01307482391471130.00653741195735565
2650.9900105846547520.0199788306904970.00998941534524848
2660.9799849674949550.04003006501009050.0200150325050453
2670.9624895847685510.07502083046289720.0375104152314486
2680.9397579533901520.1204840932196960.0602420466098478
2690.9997475608696620.0005048782606759590.000252439130337979
2700.9997336855421590.000532628915681280.00026631445784064
2710.9975395429793410.004920914041318890.00246045702065944







Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2030.799212598425197NOK
5% type I error level2200.866141732283465NOK
10% type I error level2270.893700787401575NOK

\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 & 203 & 0.799212598425197 & NOK \tabularnewline
5% type I error level & 220 & 0.866141732283465 & NOK \tabularnewline
10% type I error level & 227 & 0.893700787401575 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=159830&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]203[/C][C]0.799212598425197[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]220[/C][C]0.866141732283465[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]227[/C][C]0.893700787401575[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=159830&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=159830&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 level2030.799212598425197NOK
5% type I error level2200.866141732283465NOK
10% type I error level2270.893700787401575NOK



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