Free Statistics

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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationTue, 13 Dec 2011 04:16:22 -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/13/t1323768111nemk9jt4e24y47k.htm/, Retrieved Thu, 02 May 2024 17:07:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=154300, Retrieved Thu, 02 May 2024 17:07:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact131
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [] [2011-12-13 09:16:22] [dfe1aa60d86cf4207f33712af6589424] [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=154300&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=154300&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154300&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
totsize[t] = + 1046.85043649439 + 0.723453931010926pageviews[t] -0.0848516699026227time_in_rfc[t] + 39.7578363955823logins[t] -7.71169019147843compendium_views_info[t] + 40.0651356104937compendium_views_pr[t] + 2166.01564651134shared_compendiums[t] + 47.6185218772658blogged_computations[t] + 886.236677769623compendiums_reviewed[t] -198.878378771229feedback_messages_p1[t] + 187.16938135951feedback_messages_p120[t] + 1.00592930450229totrevisions[t] + 0.369776777467763totseconds[t] + 18.1851426169592tothyperlinks[t] + 55.1357136513045totblogs[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
totsize[t] =  +  1046.85043649439 +  0.723453931010926pageviews[t] -0.0848516699026227time_in_rfc[t] +  39.7578363955823logins[t] -7.71169019147843compendium_views_info[t] +  40.0651356104937compendium_views_pr[t] +  2166.01564651134shared_compendiums[t] +  47.6185218772658blogged_computations[t] +  886.236677769623compendiums_reviewed[t] -198.878378771229feedback_messages_p1[t] +  187.16938135951feedback_messages_p120[t] +  1.00592930450229totrevisions[t] +  0.369776777467763totseconds[t] +  18.1851426169592tothyperlinks[t] +  55.1357136513045totblogs[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154300&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]totsize[t] =  +  1046.85043649439 +  0.723453931010926pageviews[t] -0.0848516699026227time_in_rfc[t] +  39.7578363955823logins[t] -7.71169019147843compendium_views_info[t] +  40.0651356104937compendium_views_pr[t] +  2166.01564651134shared_compendiums[t] +  47.6185218772658blogged_computations[t] +  886.236677769623compendiums_reviewed[t] -198.878378771229feedback_messages_p1[t] +  187.16938135951feedback_messages_p120[t] +  1.00592930450229totrevisions[t] +  0.369776777467763totseconds[t] +  18.1851426169592tothyperlinks[t] +  55.1357136513045totblogs[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154300&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154300&T=1

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Estimated Regression Equation
totsize[t] = + 1046.85043649439 + 0.723453931010926pageviews[t] -0.0848516699026227time_in_rfc[t] + 39.7578363955823logins[t] -7.71169019147843compendium_views_info[t] + 40.0651356104937compendium_views_pr[t] + 2166.01564651134shared_compendiums[t] + 47.6185218772658blogged_computations[t] + 886.236677769623compendiums_reviewed[t] -198.878378771229feedback_messages_p1[t] + 187.16938135951feedback_messages_p120[t] + 1.00592930450229totrevisions[t] + 0.369776777467763totseconds[t] + 18.1851426169592tothyperlinks[t] + 55.1357136513045totblogs[t] + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)1046.850436494393275.4085780.31960.7495080.374754
pageviews0.7234539310109267.525640.09610.9234860.461743
time_in_rfc-0.08485166990262270.055978-1.51580.130720.06536
logins39.757836395582357.4090360.69250.4891870.244594
compendium_views_info-7.7116901914784317.26933-0.44660.655550.327775
compendium_views_pr40.065135610493730.7071141.30480.1930720.096536
shared_compendiums2166.01564651134493.9791614.38481.7e-058e-06
blogged_computations47.618521877265885.1711310.55910.5765550.288278
compendiums_reviewed886.236677769623641.4292711.38170.1682020.084101
feedback_messages_p1-198.878378771229194.962611-1.02010.3085880.154294
feedback_messages_p120187.1693813595196.5678891.93820.0536240.026812
totrevisions1.005929304502290.2936953.42510.0007090.000354
totseconds0.3697767774677630.0785184.70954e-062e-06
tothyperlinks18.1851426169592406.3832450.04470.964340.48217
totblogs55.1357136513045421.1691590.13090.8959420.447971

\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) & 1046.85043649439 & 3275.408578 & 0.3196 & 0.749508 & 0.374754 \tabularnewline
pageviews & 0.723453931010926 & 7.52564 & 0.0961 & 0.923486 & 0.461743 \tabularnewline
time_in_rfc & -0.0848516699026227 & 0.055978 & -1.5158 & 0.13072 & 0.06536 \tabularnewline
logins & 39.7578363955823 & 57.409036 & 0.6925 & 0.489187 & 0.244594 \tabularnewline
compendium_views_info & -7.71169019147843 & 17.26933 & -0.4466 & 0.65555 & 0.327775 \tabularnewline
compendium_views_pr & 40.0651356104937 & 30.707114 & 1.3048 & 0.193072 & 0.096536 \tabularnewline
shared_compendiums & 2166.01564651134 & 493.979161 & 4.3848 & 1.7e-05 & 8e-06 \tabularnewline
blogged_computations & 47.6185218772658 & 85.171131 & 0.5591 & 0.576555 & 0.288278 \tabularnewline
compendiums_reviewed & 886.236677769623 & 641.429271 & 1.3817 & 0.168202 & 0.084101 \tabularnewline
feedback_messages_p1 & -198.878378771229 & 194.962611 & -1.0201 & 0.308588 & 0.154294 \tabularnewline
feedback_messages_p120 & 187.16938135951 & 96.567889 & 1.9382 & 0.053624 & 0.026812 \tabularnewline
totrevisions & 1.00592930450229 & 0.293695 & 3.4251 & 0.000709 & 0.000354 \tabularnewline
totseconds & 0.369776777467763 & 0.078518 & 4.7095 & 4e-06 & 2e-06 \tabularnewline
tothyperlinks & 18.1851426169592 & 406.383245 & 0.0447 & 0.96434 & 0.48217 \tabularnewline
totblogs & 55.1357136513045 & 421.169159 & 0.1309 & 0.895942 & 0.447971 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154300&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]1046.85043649439[/C][C]3275.408578[/C][C]0.3196[/C][C]0.749508[/C][C]0.374754[/C][/ROW]
[ROW][C]pageviews[/C][C]0.723453931010926[/C][C]7.52564[/C][C]0.0961[/C][C]0.923486[/C][C]0.461743[/C][/ROW]
[ROW][C]time_in_rfc[/C][C]-0.0848516699026227[/C][C]0.055978[/C][C]-1.5158[/C][C]0.13072[/C][C]0.06536[/C][/ROW]
[ROW][C]logins[/C][C]39.7578363955823[/C][C]57.409036[/C][C]0.6925[/C][C]0.489187[/C][C]0.244594[/C][/ROW]
[ROW][C]compendium_views_info[/C][C]-7.71169019147843[/C][C]17.26933[/C][C]-0.4466[/C][C]0.65555[/C][C]0.327775[/C][/ROW]
[ROW][C]compendium_views_pr[/C][C]40.0651356104937[/C][C]30.707114[/C][C]1.3048[/C][C]0.193072[/C][C]0.096536[/C][/ROW]
[ROW][C]shared_compendiums[/C][C]2166.01564651134[/C][C]493.979161[/C][C]4.3848[/C][C]1.7e-05[/C][C]8e-06[/C][/ROW]
[ROW][C]blogged_computations[/C][C]47.6185218772658[/C][C]85.171131[/C][C]0.5591[/C][C]0.576555[/C][C]0.288278[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]886.236677769623[/C][C]641.429271[/C][C]1.3817[/C][C]0.168202[/C][C]0.084101[/C][/ROW]
[ROW][C]feedback_messages_p1[/C][C]-198.878378771229[/C][C]194.962611[/C][C]-1.0201[/C][C]0.308588[/C][C]0.154294[/C][/ROW]
[ROW][C]feedback_messages_p120[/C][C]187.16938135951[/C][C]96.567889[/C][C]1.9382[/C][C]0.053624[/C][C]0.026812[/C][/ROW]
[ROW][C]totrevisions[/C][C]1.00592930450229[/C][C]0.293695[/C][C]3.4251[/C][C]0.000709[/C][C]0.000354[/C][/ROW]
[ROW][C]totseconds[/C][C]0.369776777467763[/C][C]0.078518[/C][C]4.7095[/C][C]4e-06[/C][C]2e-06[/C][/ROW]
[ROW][C]tothyperlinks[/C][C]18.1851426169592[/C][C]406.383245[/C][C]0.0447[/C][C]0.96434[/C][C]0.48217[/C][/ROW]
[ROW][C]totblogs[/C][C]55.1357136513045[/C][C]421.169159[/C][C]0.1309[/C][C]0.895942[/C][C]0.447971[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154300&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154300&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)1046.850436494393275.4085780.31960.7495080.374754
pageviews0.7234539310109267.525640.09610.9234860.461743
time_in_rfc-0.08485166990262270.055978-1.51580.130720.06536
logins39.757836395582357.4090360.69250.4891870.244594
compendium_views_info-7.7116901914784317.26933-0.44660.655550.327775
compendium_views_pr40.065135610493730.7071141.30480.1930720.096536
shared_compendiums2166.01564651134493.9791614.38481.7e-058e-06
blogged_computations47.618521877265885.1711310.55910.5765550.288278
compendiums_reviewed886.236677769623641.4292711.38170.1682020.084101
feedback_messages_p1-198.878378771229194.962611-1.02010.3085880.154294
feedback_messages_p120187.1693813595196.5678891.93820.0536240.026812
totrevisions1.005929304502290.2936953.42510.0007090.000354
totseconds0.3697767774677630.0785184.70954e-062e-06
tothyperlinks18.1851426169592406.3832450.04470.964340.48217
totblogs55.1357136513045421.1691590.13090.8959420.447971







Multiple Linear Regression - Regression Statistics
Multiple R0.875361094779262
R-squared0.766257046253149
Adjusted R-squared0.754313975623748
F-TEST (value)64.1591321051721
F-TEST (DF numerator)14
F-TEST (DF denominator)274
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation20037.0653304928
Sum Squared Residuals110006612454.012

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.875361094779262 \tabularnewline
R-squared & 0.766257046253149 \tabularnewline
Adjusted R-squared & 0.754313975623748 \tabularnewline
F-TEST (value) & 64.1591321051721 \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 & 20037.0653304928 \tabularnewline
Sum Squared Residuals & 110006612454.012 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154300&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.875361094779262[/C][/ROW]
[ROW][C]R-squared[/C][C]0.766257046253149[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.754313975623748[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]64.1591321051721[/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]20037.0653304928[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]110006612454.012[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154300&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154300&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 R0.875361094779262
R-squared0.766257046253149
Adjusted R-squared0.754313975623748
F-TEST (value)64.1591321051721
F-TEST (DF numerator)14
F-TEST (DF denominator)274
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation20037.0653304928
Sum Squared Residuals110006612454.012







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1112285107201.5146352215083.48536477867
28478689586.7691990242-4800.76919902421
38312391166.8987791165-8043.89877911646
410119398817.29766283372375.70233716633
53836154797.0727280014-16436.0727280014
66850448673.714415746319830.2855842537
7119182107110.53768326712071.4623167326
82280711110.629162658211696.3708373418
91714020840.8688354349-3700.86883543485
1011617491146.878000450425027.1219995496
115763559808.2365303617-2173.2365303617
126619898459.3006477224-32261.3006477224
137170193934.3012785016-22233.3012785016
145779367351.5232469927-9558.52324699268
158044485032.4885110996-4588.48851109955
165385577504.1994357739-23649.1994357739
1797668115987.786234608-18319.7862346076
18133824109525.09518051524298.9048194847
1910148178160.779053570423320.2209464296
209964576863.703250351222781.2967496488
21114789100293.83485546214495.165144538
2299052106054.419917752-7002.41991775184
236765475880.2691080278-8226.2691080278
246555380465.558777462-14912.558777462
259750095808.3189849721691.68101502799
266911289646.2356092032-20534.2356092032
278275384870.5993564082-2117.59935640815
288532395028.8525996953-9705.8525996953
297265496822.8212626746-24168.8212626746
303072743472.2778966621-12745.2778966621
3177873103822.201191687-25949.2011916873
32117478124246.621491852-6768.62149185181
337400778318.9633424201-4311.9633424201
3490183119761.29107814-29578.2910781402
356154244676.138560854816865.8614391452
36101494122610.140471328-21116.1404713277
372757039090.6669743094-11520.6669743094
385581348854.06592430616958.93407569388
397921598031.0009074235-18816.0009074235
4014232068.52209972331-645.522099723311
415546166670.1146208075-11209.1146208075
423108144265.3747475593-13184.3747475593
432299634854.534044734-11858.534044734
4483122103714.521303188-20592.5213031883
457010696810.3750186249-26704.3750186249
466057874956.8981932847-14378.8981932847
473999246687.6330708694-6695.6330708694
487989293753.1140337821-13861.1140337821
494981055982.4232555555-6172.42325555551
507157063012.68466275318557.31533724687
5110070874252.629551418326455.3704485817
523303251392.2915867683-18360.2915867683
538287584989.4872848525-2114.48728485245
54139077121492.11904538117584.8809546185
557159585250.4277400503-13655.4277400503
567226088513.8348348691-16253.8348348691
57595011065.1639933106-5115.16399331055
58115762118939.143528608-3177.1435286084
593255135935.6500592437-3384.65005924373
603170137660.9524943521-5959.95249435208
618067083105.5132557238-2435.51325572379
62143558134316.7112338029241.28876619767
6311710590091.104070857427013.8959291426
642378934915.2838040042-11126.2838040042
65120733138605.683807295-17872.6838072947
66105195128794.535104822-23599.5351048224
677310780859.3801748626-7752.38017486257
68132068129443.5646203532624.43537964701
69149193150140.736713587-947.736713586994
704682167050.2968951451-20229.2968951451
718701193526.432918395-6515.43291839501
7295260100727.940120137-5467.94012013662
735518377617.1743023037-22434.1743023037
7410667179493.730612483127177.2693875169
7573511107535.721205993-34024.7212059932
769294575951.164986254916993.8350137451
777866475774.12805634612889.87194365388
787005499119.3528404491-29065.3528404491
792261838468.2812612217-15850.2812612217
807401194610.7593877489-20599.7593877489
818373773383.870945439810353.1290545602
826909475126.3608198757-6032.36081987565
839313384968.26668830318164.73331169692
849553696100.8939994388-564.893999438765
8522592093312.1330967628132607.866903237
866213370412.9079601469-8279.90796014692
876137061275.087522494494.9124775055727
884383650237.2016875523-6401.20168755232
8910611786323.337185085119793.6628149149
903869260936.5988146295-22244.5988146295
918465193658.883469895-9007.88346989497
925662235434.646234989321187.3537650107
931598627886.6446857243-11900.6446857243
949536496304.9845882303-940.984588230262
952670643255.9723386977-16549.9723386977
968969176405.284730746313285.7152692537
976726791598.715652074-24331.715652074
9812684698060.287161347428785.7128386526
994114055987.4985180417-14847.4985180417
10010286094413.67944693648446.3205530636
1015171561998.1575536176-10283.1575536175
1025580165199.4080574921-9398.40805749205
103111813103258.0499632498554.95003675066
10412029386233.67311312134059.3268868791
105138599113033.15676432225565.8432356781
106161647126177.90211892735469.0978810729
107115929146436.820635505-30507.8206355045
1082426629404.7998571381-5138.79985713808
109162901148917.99172834213983.0082716583
110109825110873.159145103-1048.15914510276
111129838114056.75081692515781.2491830753
1123751045522.4538431081-8012.45384310811
1134375040722.95038591973027.04961408025
1144065259263.559134787-18611.559134787
11587771103190.461777301-15419.4617773015
1168587291056.1727545993-5184.17275459935
1178927588413.1506671505861.849332849529
1184441852083.3809113169-7665.38091131691
11919256594380.075618186798184.9243818133
1203523235866.5213127243-634.521312724279
1214090953020.9231156914-12111.9231156914
1221329422836.0172485336-9542.01724853361
1233238753459.2194992544-21072.2194992544
12414086756125.155279468384741.8447205317
125120662103235.2130217917426.7869782104
1262123333584.4507877579-12351.4507877579
1274433236048.38105768138283.61894231867
1286105659747.85906321891308.14093678108
12910133884478.262420381116859.7375796189
13011683617.42330516436-2449.42330516436
1311349717161.6014757884-3664.60147578841
1326556774825.877159012-9258.87715901196
1332516230599.3536883074-5437.35368830736
1343233444185.2981557437-11851.2981557437
1354073555790.4629218523-15055.4629218523
13691413114856.565766156-23443.5657661559
1378552403.13237315567-1548.13237315567
1389706872487.903553916924580.0964460831
1394433919973.235686719724365.7643132803
1401411615195.809477157-1079.80947715703
1411028817595.9981897841-7307.99818978412
1426562254857.559484634910764.4405153651
1431656314144.78680679752418.21319320253
14476643100790.683009546-24147.6830095463
14511068188441.349045689922239.6509543101
1462901128441.7867226917569.213277308305
1479269654323.574417619838372.4255823802
1489478555814.000605795638970.9993942044
149877314177.5250124412-5404.52501244123
1508320968042.323191546815166.6768084532
15193815106431.363085095-12616.3630850948
1528668795154.2897803783-8467.28978037825
1533455330437.18768782954115.81231217054
154105547125228.429391089-19681.4293910892
155103487109608.886190454-6121.88619045363
156213688160347.90268570753340.0973142934
1577122077762.7430919863-6542.74309198628
1582351727475.400854834-3958.40085483396
1595692645905.326136716711020.6738632833
1609172184027.37099269437693.62900730574
161115168119321.207074134-4153.20707413414
16211119447465.580115208863728.4198847912
1635100946581.59498897614427.40501102394
164135777100210.07326623835566.9267337617
1655151360515.3874546827-9002.38745468267
1667416399940.9990982296-25777.9990982296
1675163373617.0304953004-21984.0304953004
1687534532900.712120907342444.2878790927
1693341653053.5442735976-19637.5442735976
1708330545683.278613971137621.7213860289
1719895280772.185582979218179.8144170208
17210237297707.21665942934664.78334057066
1733723820203.025121909217034.9748780908
174103772118922.378593205-15150.3785932054
17512396990393.867688938933575.1323110611
1762714235110.8042303369-7968.80423033686
17713540099945.142131129335454.8578688707
1782139924703.7192919571-3304.71929195715
179130115115395.60679294714719.3932070533
1802487439822.8199590703-14948.8199590703
1813498827974.73437973437013.26562026567
1824554920216.176818077525332.8231819225
18360235267.54586421283755.454135787175
1846446667147.8342462793-2681.8342462793
1855499090693.8376285581-35703.8376285581
18616443075.62282066095-1431.62282066095
187617911969.5916823567-5790.5916823567
18839266016.15438605537-2090.15438605537
1893275545970.6990379873-13215.6990379873
1903477721607.249113838913169.7508861611
1917322448960.681537275224263.3184627248
1922711424312.20109593082801.79890406917
1932076036343.2476768363-15583.2476768363
1943763653360.9702768909-15724.9702768909
1956546170758.2715529359-5297.2715529359
1963008039163.0260445659-9083.02604456594
1972409430827.3160734198-6733.31607341977
1986900835746.304195042433261.6958049576
1995496831619.47024353823348.529756462
2004609035763.587930401110326.4120695989
2012750740127.0127869183-12620.0127869183
2021067225980.6579223676-15308.6579223676
2033402932138.82170632671890.17829367329
2044630048474.8833565574-2174.88335655744
2052476036464.1586583743-11704.1586583743
2061877916556.26397247932222.73602752068
2072128029433.0620107487-8153.06201074868
2084066240819.9562730941-157.95627309415
2092898734677.3085322897-5690.30853228967
2102282742788.7483202425-19961.7483202425
2111851336196.7287384047-17683.7287384047
2123059427797.76133072532796.23866927471
2132400627393.2917648013-3387.29176480132
2142791339387.0747901917-11474.0747901917
2154274431750.255850882110993.7441491179
2161293435286.2280346276-22352.2280346276
2172257426696.0958603229-4122.09586032285
2184138542278.3558413105-893.355841310464
2191865335457.3872627731-16804.3872627731
2201847224949.1481977643-6477.1481977643
2213097637923.552550606-6947.55255060597
2226333979624.3337249095-16285.3337249095
2232556843829.598185734-18261.598185734
2243374738388.129386787-4641.12938678698
225415412573.8718566942-8419.87185669425
2261947434902.4376241671-15428.4376241671
2273513018094.174399257917035.8256007421
2283906737191.48766281481875.51233718517
2291331024664.0700685664-11354.0700685664
2306589234623.898912532331268.1010874677
231414316553.7639718451-12410.7639718451
2322857935649.0064702829-7070.00647028292
2335177641262.993950262410513.0060497376
2342115224283.8404248226-3131.84042482264
2353808432868.72833173225215.27166826783
2362771731801.4149686342-4084.41496863416
2373292824478.66171435098449.33828564911
2381134219187.589230805-7845.589230805
2391949930004.014164145-10505.014164145
2401638019536.9353837729-3156.93538377287
2413687427761.87498958129112.12501041877
2424825959370.4258435956-11111.4258435956
2431673425496.6680358127-8762.66803581273
2442820729529.7084318958-1322.70843189575
2453014332200.0627067726-2057.06270677263
2464136933287.91628451098081.08371548912
2474583340631.04556109275201.95443890732
2482915627869.17420828091286.82579171914
2493594418362.804829417581.1951706
2503627820342.629362727615935.3706372724
2514558846831.2322127191-1243.23221271913
2524509743871.82154436061225.17845563945
25338956563.30153643924-2668.30153643924
2542839430192.2347259785-1798.23472597849
2551863227674.8824917442-9042.88249174419
25623252674.49334062864-349.493340628643
2572513920955.90957840324183.09042159681
2582797522295.49654750275679.5034524973
2591448325918.0767507401-11435.0767507401
2601312717540.6700704276-4413.67007042765
26158397923.38125479004-2084.38125479004
2622406940705.8453818025-16636.8453818025
26337386212.68686729585-2474.68686729585
2641862526121.2036294858-7496.20362948576
2653634124875.874914731811465.1250852682
2662454828231.2854659384-3683.28546593844
2672179233308.7069643204-11516.7069643204
2682626319886.00605174386376.99394825619
2692368637731.9833974651-14045.9833974651
2704930337818.308315610411484.6916843896
2712565930412.5448073115-4753.5448073115
2722890427917.5445652127986.45543478732
2732781220.566513682192560.43348631781
2742923635457.5235377845-6221.52353778445
2751954618349.59585396051196.40414603946
2762281829609.8726863693-6791.87268636928
2773268914164.537166007818524.4628339922
278575210642.6138002367-4890.61380023667
2792219739143.6253280763-16946.6253280763
2802005527576.3945957795-7521.3945957795
2812527227070.7853389261-1798.78533892612
2828220616939.895493268265266.1045067318
2833207319811.517134808512261.4828651915
28454446661.24202393533-1217.24202393533
2852015422642.2978018951-2488.29780189514
2863694417380.818148695519563.1818513045
287801916929.5650271697-8910.56502716973
2883088439840.2884485716-8956.28844857163
2891954025926.9136121024-6386.91361210242

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 112285 & 107201.514635221 & 5083.48536477867 \tabularnewline
2 & 84786 & 89586.7691990242 & -4800.76919902421 \tabularnewline
3 & 83123 & 91166.8987791165 & -8043.89877911646 \tabularnewline
4 & 101193 & 98817.2976628337 & 2375.70233716633 \tabularnewline
5 & 38361 & 54797.0727280014 & -16436.0727280014 \tabularnewline
6 & 68504 & 48673.7144157463 & 19830.2855842537 \tabularnewline
7 & 119182 & 107110.537683267 & 12071.4623167326 \tabularnewline
8 & 22807 & 11110.6291626582 & 11696.3708373418 \tabularnewline
9 & 17140 & 20840.8688354349 & -3700.86883543485 \tabularnewline
10 & 116174 & 91146.8780004504 & 25027.1219995496 \tabularnewline
11 & 57635 & 59808.2365303617 & -2173.2365303617 \tabularnewline
12 & 66198 & 98459.3006477224 & -32261.3006477224 \tabularnewline
13 & 71701 & 93934.3012785016 & -22233.3012785016 \tabularnewline
14 & 57793 & 67351.5232469927 & -9558.52324699268 \tabularnewline
15 & 80444 & 85032.4885110996 & -4588.48851109955 \tabularnewline
16 & 53855 & 77504.1994357739 & -23649.1994357739 \tabularnewline
17 & 97668 & 115987.786234608 & -18319.7862346076 \tabularnewline
18 & 133824 & 109525.095180515 & 24298.9048194847 \tabularnewline
19 & 101481 & 78160.7790535704 & 23320.2209464296 \tabularnewline
20 & 99645 & 76863.7032503512 & 22781.2967496488 \tabularnewline
21 & 114789 & 100293.834855462 & 14495.165144538 \tabularnewline
22 & 99052 & 106054.419917752 & -7002.41991775184 \tabularnewline
23 & 67654 & 75880.2691080278 & -8226.2691080278 \tabularnewline
24 & 65553 & 80465.558777462 & -14912.558777462 \tabularnewline
25 & 97500 & 95808.318984972 & 1691.68101502799 \tabularnewline
26 & 69112 & 89646.2356092032 & -20534.2356092032 \tabularnewline
27 & 82753 & 84870.5993564082 & -2117.59935640815 \tabularnewline
28 & 85323 & 95028.8525996953 & -9705.8525996953 \tabularnewline
29 & 72654 & 96822.8212626746 & -24168.8212626746 \tabularnewline
30 & 30727 & 43472.2778966621 & -12745.2778966621 \tabularnewline
31 & 77873 & 103822.201191687 & -25949.2011916873 \tabularnewline
32 & 117478 & 124246.621491852 & -6768.62149185181 \tabularnewline
33 & 74007 & 78318.9633424201 & -4311.9633424201 \tabularnewline
34 & 90183 & 119761.29107814 & -29578.2910781402 \tabularnewline
35 & 61542 & 44676.1385608548 & 16865.8614391452 \tabularnewline
36 & 101494 & 122610.140471328 & -21116.1404713277 \tabularnewline
37 & 27570 & 39090.6669743094 & -11520.6669743094 \tabularnewline
38 & 55813 & 48854.0659243061 & 6958.93407569388 \tabularnewline
39 & 79215 & 98031.0009074235 & -18816.0009074235 \tabularnewline
40 & 1423 & 2068.52209972331 & -645.522099723311 \tabularnewline
41 & 55461 & 66670.1146208075 & -11209.1146208075 \tabularnewline
42 & 31081 & 44265.3747475593 & -13184.3747475593 \tabularnewline
43 & 22996 & 34854.534044734 & -11858.534044734 \tabularnewline
44 & 83122 & 103714.521303188 & -20592.5213031883 \tabularnewline
45 & 70106 & 96810.3750186249 & -26704.3750186249 \tabularnewline
46 & 60578 & 74956.8981932847 & -14378.8981932847 \tabularnewline
47 & 39992 & 46687.6330708694 & -6695.6330708694 \tabularnewline
48 & 79892 & 93753.1140337821 & -13861.1140337821 \tabularnewline
49 & 49810 & 55982.4232555555 & -6172.42325555551 \tabularnewline
50 & 71570 & 63012.6846627531 & 8557.31533724687 \tabularnewline
51 & 100708 & 74252.6295514183 & 26455.3704485817 \tabularnewline
52 & 33032 & 51392.2915867683 & -18360.2915867683 \tabularnewline
53 & 82875 & 84989.4872848525 & -2114.48728485245 \tabularnewline
54 & 139077 & 121492.119045381 & 17584.8809546185 \tabularnewline
55 & 71595 & 85250.4277400503 & -13655.4277400503 \tabularnewline
56 & 72260 & 88513.8348348691 & -16253.8348348691 \tabularnewline
57 & 5950 & 11065.1639933106 & -5115.16399331055 \tabularnewline
58 & 115762 & 118939.143528608 & -3177.1435286084 \tabularnewline
59 & 32551 & 35935.6500592437 & -3384.65005924373 \tabularnewline
60 & 31701 & 37660.9524943521 & -5959.95249435208 \tabularnewline
61 & 80670 & 83105.5132557238 & -2435.51325572379 \tabularnewline
62 & 143558 & 134316.711233802 & 9241.28876619767 \tabularnewline
63 & 117105 & 90091.1040708574 & 27013.8959291426 \tabularnewline
64 & 23789 & 34915.2838040042 & -11126.2838040042 \tabularnewline
65 & 120733 & 138605.683807295 & -17872.6838072947 \tabularnewline
66 & 105195 & 128794.535104822 & -23599.5351048224 \tabularnewline
67 & 73107 & 80859.3801748626 & -7752.38017486257 \tabularnewline
68 & 132068 & 129443.564620353 & 2624.43537964701 \tabularnewline
69 & 149193 & 150140.736713587 & -947.736713586994 \tabularnewline
70 & 46821 & 67050.2968951451 & -20229.2968951451 \tabularnewline
71 & 87011 & 93526.432918395 & -6515.43291839501 \tabularnewline
72 & 95260 & 100727.940120137 & -5467.94012013662 \tabularnewline
73 & 55183 & 77617.1743023037 & -22434.1743023037 \tabularnewline
74 & 106671 & 79493.7306124831 & 27177.2693875169 \tabularnewline
75 & 73511 & 107535.721205993 & -34024.7212059932 \tabularnewline
76 & 92945 & 75951.1649862549 & 16993.8350137451 \tabularnewline
77 & 78664 & 75774.1280563461 & 2889.87194365388 \tabularnewline
78 & 70054 & 99119.3528404491 & -29065.3528404491 \tabularnewline
79 & 22618 & 38468.2812612217 & -15850.2812612217 \tabularnewline
80 & 74011 & 94610.7593877489 & -20599.7593877489 \tabularnewline
81 & 83737 & 73383.8709454398 & 10353.1290545602 \tabularnewline
82 & 69094 & 75126.3608198757 & -6032.36081987565 \tabularnewline
83 & 93133 & 84968.2666883031 & 8164.73331169692 \tabularnewline
84 & 95536 & 96100.8939994388 & -564.893999438765 \tabularnewline
85 & 225920 & 93312.1330967628 & 132607.866903237 \tabularnewline
86 & 62133 & 70412.9079601469 & -8279.90796014692 \tabularnewline
87 & 61370 & 61275.0875224944 & 94.9124775055727 \tabularnewline
88 & 43836 & 50237.2016875523 & -6401.20168755232 \tabularnewline
89 & 106117 & 86323.3371850851 & 19793.6628149149 \tabularnewline
90 & 38692 & 60936.5988146295 & -22244.5988146295 \tabularnewline
91 & 84651 & 93658.883469895 & -9007.88346989497 \tabularnewline
92 & 56622 & 35434.6462349893 & 21187.3537650107 \tabularnewline
93 & 15986 & 27886.6446857243 & -11900.6446857243 \tabularnewline
94 & 95364 & 96304.9845882303 & -940.984588230262 \tabularnewline
95 & 26706 & 43255.9723386977 & -16549.9723386977 \tabularnewline
96 & 89691 & 76405.2847307463 & 13285.7152692537 \tabularnewline
97 & 67267 & 91598.715652074 & -24331.715652074 \tabularnewline
98 & 126846 & 98060.2871613474 & 28785.7128386526 \tabularnewline
99 & 41140 & 55987.4985180417 & -14847.4985180417 \tabularnewline
100 & 102860 & 94413.6794469364 & 8446.3205530636 \tabularnewline
101 & 51715 & 61998.1575536176 & -10283.1575536175 \tabularnewline
102 & 55801 & 65199.4080574921 & -9398.40805749205 \tabularnewline
103 & 111813 & 103258.049963249 & 8554.95003675066 \tabularnewline
104 & 120293 & 86233.673113121 & 34059.3268868791 \tabularnewline
105 & 138599 & 113033.156764322 & 25565.8432356781 \tabularnewline
106 & 161647 & 126177.902118927 & 35469.0978810729 \tabularnewline
107 & 115929 & 146436.820635505 & -30507.8206355045 \tabularnewline
108 & 24266 & 29404.7998571381 & -5138.79985713808 \tabularnewline
109 & 162901 & 148917.991728342 & 13983.0082716583 \tabularnewline
110 & 109825 & 110873.159145103 & -1048.15914510276 \tabularnewline
111 & 129838 & 114056.750816925 & 15781.2491830753 \tabularnewline
112 & 37510 & 45522.4538431081 & -8012.45384310811 \tabularnewline
113 & 43750 & 40722.9503859197 & 3027.04961408025 \tabularnewline
114 & 40652 & 59263.559134787 & -18611.559134787 \tabularnewline
115 & 87771 & 103190.461777301 & -15419.4617773015 \tabularnewline
116 & 85872 & 91056.1727545993 & -5184.17275459935 \tabularnewline
117 & 89275 & 88413.1506671505 & 861.849332849529 \tabularnewline
118 & 44418 & 52083.3809113169 & -7665.38091131691 \tabularnewline
119 & 192565 & 94380.0756181867 & 98184.9243818133 \tabularnewline
120 & 35232 & 35866.5213127243 & -634.521312724279 \tabularnewline
121 & 40909 & 53020.9231156914 & -12111.9231156914 \tabularnewline
122 & 13294 & 22836.0172485336 & -9542.01724853361 \tabularnewline
123 & 32387 & 53459.2194992544 & -21072.2194992544 \tabularnewline
124 & 140867 & 56125.1552794683 & 84741.8447205317 \tabularnewline
125 & 120662 & 103235.21302179 & 17426.7869782104 \tabularnewline
126 & 21233 & 33584.4507877579 & -12351.4507877579 \tabularnewline
127 & 44332 & 36048.3810576813 & 8283.61894231867 \tabularnewline
128 & 61056 & 59747.8590632189 & 1308.14093678108 \tabularnewline
129 & 101338 & 84478.2624203811 & 16859.7375796189 \tabularnewline
130 & 1168 & 3617.42330516436 & -2449.42330516436 \tabularnewline
131 & 13497 & 17161.6014757884 & -3664.60147578841 \tabularnewline
132 & 65567 & 74825.877159012 & -9258.87715901196 \tabularnewline
133 & 25162 & 30599.3536883074 & -5437.35368830736 \tabularnewline
134 & 32334 & 44185.2981557437 & -11851.2981557437 \tabularnewline
135 & 40735 & 55790.4629218523 & -15055.4629218523 \tabularnewline
136 & 91413 & 114856.565766156 & -23443.5657661559 \tabularnewline
137 & 855 & 2403.13237315567 & -1548.13237315567 \tabularnewline
138 & 97068 & 72487.9035539169 & 24580.0964460831 \tabularnewline
139 & 44339 & 19973.2356867197 & 24365.7643132803 \tabularnewline
140 & 14116 & 15195.809477157 & -1079.80947715703 \tabularnewline
141 & 10288 & 17595.9981897841 & -7307.99818978412 \tabularnewline
142 & 65622 & 54857.5594846349 & 10764.4405153651 \tabularnewline
143 & 16563 & 14144.7868067975 & 2418.21319320253 \tabularnewline
144 & 76643 & 100790.683009546 & -24147.6830095463 \tabularnewline
145 & 110681 & 88441.3490456899 & 22239.6509543101 \tabularnewline
146 & 29011 & 28441.7867226917 & 569.213277308305 \tabularnewline
147 & 92696 & 54323.5744176198 & 38372.4255823802 \tabularnewline
148 & 94785 & 55814.0006057956 & 38970.9993942044 \tabularnewline
149 & 8773 & 14177.5250124412 & -5404.52501244123 \tabularnewline
150 & 83209 & 68042.3231915468 & 15166.6768084532 \tabularnewline
151 & 93815 & 106431.363085095 & -12616.3630850948 \tabularnewline
152 & 86687 & 95154.2897803783 & -8467.28978037825 \tabularnewline
153 & 34553 & 30437.1876878295 & 4115.81231217054 \tabularnewline
154 & 105547 & 125228.429391089 & -19681.4293910892 \tabularnewline
155 & 103487 & 109608.886190454 & -6121.88619045363 \tabularnewline
156 & 213688 & 160347.902685707 & 53340.0973142934 \tabularnewline
157 & 71220 & 77762.7430919863 & -6542.74309198628 \tabularnewline
158 & 23517 & 27475.400854834 & -3958.40085483396 \tabularnewline
159 & 56926 & 45905.3261367167 & 11020.6738632833 \tabularnewline
160 & 91721 & 84027.3709926943 & 7693.62900730574 \tabularnewline
161 & 115168 & 119321.207074134 & -4153.20707413414 \tabularnewline
162 & 111194 & 47465.5801152088 & 63728.4198847912 \tabularnewline
163 & 51009 & 46581.5949889761 & 4427.40501102394 \tabularnewline
164 & 135777 & 100210.073266238 & 35566.9267337617 \tabularnewline
165 & 51513 & 60515.3874546827 & -9002.38745468267 \tabularnewline
166 & 74163 & 99940.9990982296 & -25777.9990982296 \tabularnewline
167 & 51633 & 73617.0304953004 & -21984.0304953004 \tabularnewline
168 & 75345 & 32900.7121209073 & 42444.2878790927 \tabularnewline
169 & 33416 & 53053.5442735976 & -19637.5442735976 \tabularnewline
170 & 83305 & 45683.2786139711 & 37621.7213860289 \tabularnewline
171 & 98952 & 80772.1855829792 & 18179.8144170208 \tabularnewline
172 & 102372 & 97707.2166594293 & 4664.78334057066 \tabularnewline
173 & 37238 & 20203.0251219092 & 17034.9748780908 \tabularnewline
174 & 103772 & 118922.378593205 & -15150.3785932054 \tabularnewline
175 & 123969 & 90393.8676889389 & 33575.1323110611 \tabularnewline
176 & 27142 & 35110.8042303369 & -7968.80423033686 \tabularnewline
177 & 135400 & 99945.1421311293 & 35454.8578688707 \tabularnewline
178 & 21399 & 24703.7192919571 & -3304.71929195715 \tabularnewline
179 & 130115 & 115395.606792947 & 14719.3932070533 \tabularnewline
180 & 24874 & 39822.8199590703 & -14948.8199590703 \tabularnewline
181 & 34988 & 27974.7343797343 & 7013.26562026567 \tabularnewline
182 & 45549 & 20216.1768180775 & 25332.8231819225 \tabularnewline
183 & 6023 & 5267.54586421283 & 755.454135787175 \tabularnewline
184 & 64466 & 67147.8342462793 & -2681.8342462793 \tabularnewline
185 & 54990 & 90693.8376285581 & -35703.8376285581 \tabularnewline
186 & 1644 & 3075.62282066095 & -1431.62282066095 \tabularnewline
187 & 6179 & 11969.5916823567 & -5790.5916823567 \tabularnewline
188 & 3926 & 6016.15438605537 & -2090.15438605537 \tabularnewline
189 & 32755 & 45970.6990379873 & -13215.6990379873 \tabularnewline
190 & 34777 & 21607.2491138389 & 13169.7508861611 \tabularnewline
191 & 73224 & 48960.6815372752 & 24263.3184627248 \tabularnewline
192 & 27114 & 24312.2010959308 & 2801.79890406917 \tabularnewline
193 & 20760 & 36343.2476768363 & -15583.2476768363 \tabularnewline
194 & 37636 & 53360.9702768909 & -15724.9702768909 \tabularnewline
195 & 65461 & 70758.2715529359 & -5297.2715529359 \tabularnewline
196 & 30080 & 39163.0260445659 & -9083.02604456594 \tabularnewline
197 & 24094 & 30827.3160734198 & -6733.31607341977 \tabularnewline
198 & 69008 & 35746.3041950424 & 33261.6958049576 \tabularnewline
199 & 54968 & 31619.470243538 & 23348.529756462 \tabularnewline
200 & 46090 & 35763.5879304011 & 10326.4120695989 \tabularnewline
201 & 27507 & 40127.0127869183 & -12620.0127869183 \tabularnewline
202 & 10672 & 25980.6579223676 & -15308.6579223676 \tabularnewline
203 & 34029 & 32138.8217063267 & 1890.17829367329 \tabularnewline
204 & 46300 & 48474.8833565574 & -2174.88335655744 \tabularnewline
205 & 24760 & 36464.1586583743 & -11704.1586583743 \tabularnewline
206 & 18779 & 16556.2639724793 & 2222.73602752068 \tabularnewline
207 & 21280 & 29433.0620107487 & -8153.06201074868 \tabularnewline
208 & 40662 & 40819.9562730941 & -157.95627309415 \tabularnewline
209 & 28987 & 34677.3085322897 & -5690.30853228967 \tabularnewline
210 & 22827 & 42788.7483202425 & -19961.7483202425 \tabularnewline
211 & 18513 & 36196.7287384047 & -17683.7287384047 \tabularnewline
212 & 30594 & 27797.7613307253 & 2796.23866927471 \tabularnewline
213 & 24006 & 27393.2917648013 & -3387.29176480132 \tabularnewline
214 & 27913 & 39387.0747901917 & -11474.0747901917 \tabularnewline
215 & 42744 & 31750.2558508821 & 10993.7441491179 \tabularnewline
216 & 12934 & 35286.2280346276 & -22352.2280346276 \tabularnewline
217 & 22574 & 26696.0958603229 & -4122.09586032285 \tabularnewline
218 & 41385 & 42278.3558413105 & -893.355841310464 \tabularnewline
219 & 18653 & 35457.3872627731 & -16804.3872627731 \tabularnewline
220 & 18472 & 24949.1481977643 & -6477.1481977643 \tabularnewline
221 & 30976 & 37923.552550606 & -6947.55255060597 \tabularnewline
222 & 63339 & 79624.3337249095 & -16285.3337249095 \tabularnewline
223 & 25568 & 43829.598185734 & -18261.598185734 \tabularnewline
224 & 33747 & 38388.129386787 & -4641.12938678698 \tabularnewline
225 & 4154 & 12573.8718566942 & -8419.87185669425 \tabularnewline
226 & 19474 & 34902.4376241671 & -15428.4376241671 \tabularnewline
227 & 35130 & 18094.1743992579 & 17035.8256007421 \tabularnewline
228 & 39067 & 37191.4876628148 & 1875.51233718517 \tabularnewline
229 & 13310 & 24664.0700685664 & -11354.0700685664 \tabularnewline
230 & 65892 & 34623.8989125323 & 31268.1010874677 \tabularnewline
231 & 4143 & 16553.7639718451 & -12410.7639718451 \tabularnewline
232 & 28579 & 35649.0064702829 & -7070.00647028292 \tabularnewline
233 & 51776 & 41262.9939502624 & 10513.0060497376 \tabularnewline
234 & 21152 & 24283.8404248226 & -3131.84042482264 \tabularnewline
235 & 38084 & 32868.7283317322 & 5215.27166826783 \tabularnewline
236 & 27717 & 31801.4149686342 & -4084.41496863416 \tabularnewline
237 & 32928 & 24478.6617143509 & 8449.33828564911 \tabularnewline
238 & 11342 & 19187.589230805 & -7845.589230805 \tabularnewline
239 & 19499 & 30004.014164145 & -10505.014164145 \tabularnewline
240 & 16380 & 19536.9353837729 & -3156.93538377287 \tabularnewline
241 & 36874 & 27761.8749895812 & 9112.12501041877 \tabularnewline
242 & 48259 & 59370.4258435956 & -11111.4258435956 \tabularnewline
243 & 16734 & 25496.6680358127 & -8762.66803581273 \tabularnewline
244 & 28207 & 29529.7084318958 & -1322.70843189575 \tabularnewline
245 & 30143 & 32200.0627067726 & -2057.06270677263 \tabularnewline
246 & 41369 & 33287.9162845109 & 8081.08371548912 \tabularnewline
247 & 45833 & 40631.0455610927 & 5201.95443890732 \tabularnewline
248 & 29156 & 27869.1742082809 & 1286.82579171914 \tabularnewline
249 & 35944 & 18362.8048294 & 17581.1951706 \tabularnewline
250 & 36278 & 20342.6293627276 & 15935.3706372724 \tabularnewline
251 & 45588 & 46831.2322127191 & -1243.23221271913 \tabularnewline
252 & 45097 & 43871.8215443606 & 1225.17845563945 \tabularnewline
253 & 3895 & 6563.30153643924 & -2668.30153643924 \tabularnewline
254 & 28394 & 30192.2347259785 & -1798.23472597849 \tabularnewline
255 & 18632 & 27674.8824917442 & -9042.88249174419 \tabularnewline
256 & 2325 & 2674.49334062864 & -349.493340628643 \tabularnewline
257 & 25139 & 20955.9095784032 & 4183.09042159681 \tabularnewline
258 & 27975 & 22295.4965475027 & 5679.5034524973 \tabularnewline
259 & 14483 & 25918.0767507401 & -11435.0767507401 \tabularnewline
260 & 13127 & 17540.6700704276 & -4413.67007042765 \tabularnewline
261 & 5839 & 7923.38125479004 & -2084.38125479004 \tabularnewline
262 & 24069 & 40705.8453818025 & -16636.8453818025 \tabularnewline
263 & 3738 & 6212.68686729585 & -2474.68686729585 \tabularnewline
264 & 18625 & 26121.2036294858 & -7496.20362948576 \tabularnewline
265 & 36341 & 24875.8749147318 & 11465.1250852682 \tabularnewline
266 & 24548 & 28231.2854659384 & -3683.28546593844 \tabularnewline
267 & 21792 & 33308.7069643204 & -11516.7069643204 \tabularnewline
268 & 26263 & 19886.0060517438 & 6376.99394825619 \tabularnewline
269 & 23686 & 37731.9833974651 & -14045.9833974651 \tabularnewline
270 & 49303 & 37818.3083156104 & 11484.6916843896 \tabularnewline
271 & 25659 & 30412.5448073115 & -4753.5448073115 \tabularnewline
272 & 28904 & 27917.5445652127 & 986.45543478732 \tabularnewline
273 & 2781 & 220.56651368219 & 2560.43348631781 \tabularnewline
274 & 29236 & 35457.5235377845 & -6221.52353778445 \tabularnewline
275 & 19546 & 18349.5958539605 & 1196.40414603946 \tabularnewline
276 & 22818 & 29609.8726863693 & -6791.87268636928 \tabularnewline
277 & 32689 & 14164.5371660078 & 18524.4628339922 \tabularnewline
278 & 5752 & 10642.6138002367 & -4890.61380023667 \tabularnewline
279 & 22197 & 39143.6253280763 & -16946.6253280763 \tabularnewline
280 & 20055 & 27576.3945957795 & -7521.3945957795 \tabularnewline
281 & 25272 & 27070.7853389261 & -1798.78533892612 \tabularnewline
282 & 82206 & 16939.8954932682 & 65266.1045067318 \tabularnewline
283 & 32073 & 19811.5171348085 & 12261.4828651915 \tabularnewline
284 & 5444 & 6661.24202393533 & -1217.24202393533 \tabularnewline
285 & 20154 & 22642.2978018951 & -2488.29780189514 \tabularnewline
286 & 36944 & 17380.8181486955 & 19563.1818513045 \tabularnewline
287 & 8019 & 16929.5650271697 & -8910.56502716973 \tabularnewline
288 & 30884 & 39840.2884485716 & -8956.28844857163 \tabularnewline
289 & 19540 & 25926.9136121024 & -6386.91361210242 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154300&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]112285[/C][C]107201.514635221[/C][C]5083.48536477867[/C][/ROW]
[ROW][C]2[/C][C]84786[/C][C]89586.7691990242[/C][C]-4800.76919902421[/C][/ROW]
[ROW][C]3[/C][C]83123[/C][C]91166.8987791165[/C][C]-8043.89877911646[/C][/ROW]
[ROW][C]4[/C][C]101193[/C][C]98817.2976628337[/C][C]2375.70233716633[/C][/ROW]
[ROW][C]5[/C][C]38361[/C][C]54797.0727280014[/C][C]-16436.0727280014[/C][/ROW]
[ROW][C]6[/C][C]68504[/C][C]48673.7144157463[/C][C]19830.2855842537[/C][/ROW]
[ROW][C]7[/C][C]119182[/C][C]107110.537683267[/C][C]12071.4623167326[/C][/ROW]
[ROW][C]8[/C][C]22807[/C][C]11110.6291626582[/C][C]11696.3708373418[/C][/ROW]
[ROW][C]9[/C][C]17140[/C][C]20840.8688354349[/C][C]-3700.86883543485[/C][/ROW]
[ROW][C]10[/C][C]116174[/C][C]91146.8780004504[/C][C]25027.1219995496[/C][/ROW]
[ROW][C]11[/C][C]57635[/C][C]59808.2365303617[/C][C]-2173.2365303617[/C][/ROW]
[ROW][C]12[/C][C]66198[/C][C]98459.3006477224[/C][C]-32261.3006477224[/C][/ROW]
[ROW][C]13[/C][C]71701[/C][C]93934.3012785016[/C][C]-22233.3012785016[/C][/ROW]
[ROW][C]14[/C][C]57793[/C][C]67351.5232469927[/C][C]-9558.52324699268[/C][/ROW]
[ROW][C]15[/C][C]80444[/C][C]85032.4885110996[/C][C]-4588.48851109955[/C][/ROW]
[ROW][C]16[/C][C]53855[/C][C]77504.1994357739[/C][C]-23649.1994357739[/C][/ROW]
[ROW][C]17[/C][C]97668[/C][C]115987.786234608[/C][C]-18319.7862346076[/C][/ROW]
[ROW][C]18[/C][C]133824[/C][C]109525.095180515[/C][C]24298.9048194847[/C][/ROW]
[ROW][C]19[/C][C]101481[/C][C]78160.7790535704[/C][C]23320.2209464296[/C][/ROW]
[ROW][C]20[/C][C]99645[/C][C]76863.7032503512[/C][C]22781.2967496488[/C][/ROW]
[ROW][C]21[/C][C]114789[/C][C]100293.834855462[/C][C]14495.165144538[/C][/ROW]
[ROW][C]22[/C][C]99052[/C][C]106054.419917752[/C][C]-7002.41991775184[/C][/ROW]
[ROW][C]23[/C][C]67654[/C][C]75880.2691080278[/C][C]-8226.2691080278[/C][/ROW]
[ROW][C]24[/C][C]65553[/C][C]80465.558777462[/C][C]-14912.558777462[/C][/ROW]
[ROW][C]25[/C][C]97500[/C][C]95808.318984972[/C][C]1691.68101502799[/C][/ROW]
[ROW][C]26[/C][C]69112[/C][C]89646.2356092032[/C][C]-20534.2356092032[/C][/ROW]
[ROW][C]27[/C][C]82753[/C][C]84870.5993564082[/C][C]-2117.59935640815[/C][/ROW]
[ROW][C]28[/C][C]85323[/C][C]95028.8525996953[/C][C]-9705.8525996953[/C][/ROW]
[ROW][C]29[/C][C]72654[/C][C]96822.8212626746[/C][C]-24168.8212626746[/C][/ROW]
[ROW][C]30[/C][C]30727[/C][C]43472.2778966621[/C][C]-12745.2778966621[/C][/ROW]
[ROW][C]31[/C][C]77873[/C][C]103822.201191687[/C][C]-25949.2011916873[/C][/ROW]
[ROW][C]32[/C][C]117478[/C][C]124246.621491852[/C][C]-6768.62149185181[/C][/ROW]
[ROW][C]33[/C][C]74007[/C][C]78318.9633424201[/C][C]-4311.9633424201[/C][/ROW]
[ROW][C]34[/C][C]90183[/C][C]119761.29107814[/C][C]-29578.2910781402[/C][/ROW]
[ROW][C]35[/C][C]61542[/C][C]44676.1385608548[/C][C]16865.8614391452[/C][/ROW]
[ROW][C]36[/C][C]101494[/C][C]122610.140471328[/C][C]-21116.1404713277[/C][/ROW]
[ROW][C]37[/C][C]27570[/C][C]39090.6669743094[/C][C]-11520.6669743094[/C][/ROW]
[ROW][C]38[/C][C]55813[/C][C]48854.0659243061[/C][C]6958.93407569388[/C][/ROW]
[ROW][C]39[/C][C]79215[/C][C]98031.0009074235[/C][C]-18816.0009074235[/C][/ROW]
[ROW][C]40[/C][C]1423[/C][C]2068.52209972331[/C][C]-645.522099723311[/C][/ROW]
[ROW][C]41[/C][C]55461[/C][C]66670.1146208075[/C][C]-11209.1146208075[/C][/ROW]
[ROW][C]42[/C][C]31081[/C][C]44265.3747475593[/C][C]-13184.3747475593[/C][/ROW]
[ROW][C]43[/C][C]22996[/C][C]34854.534044734[/C][C]-11858.534044734[/C][/ROW]
[ROW][C]44[/C][C]83122[/C][C]103714.521303188[/C][C]-20592.5213031883[/C][/ROW]
[ROW][C]45[/C][C]70106[/C][C]96810.3750186249[/C][C]-26704.3750186249[/C][/ROW]
[ROW][C]46[/C][C]60578[/C][C]74956.8981932847[/C][C]-14378.8981932847[/C][/ROW]
[ROW][C]47[/C][C]39992[/C][C]46687.6330708694[/C][C]-6695.6330708694[/C][/ROW]
[ROW][C]48[/C][C]79892[/C][C]93753.1140337821[/C][C]-13861.1140337821[/C][/ROW]
[ROW][C]49[/C][C]49810[/C][C]55982.4232555555[/C][C]-6172.42325555551[/C][/ROW]
[ROW][C]50[/C][C]71570[/C][C]63012.6846627531[/C][C]8557.31533724687[/C][/ROW]
[ROW][C]51[/C][C]100708[/C][C]74252.6295514183[/C][C]26455.3704485817[/C][/ROW]
[ROW][C]52[/C][C]33032[/C][C]51392.2915867683[/C][C]-18360.2915867683[/C][/ROW]
[ROW][C]53[/C][C]82875[/C][C]84989.4872848525[/C][C]-2114.48728485245[/C][/ROW]
[ROW][C]54[/C][C]139077[/C][C]121492.119045381[/C][C]17584.8809546185[/C][/ROW]
[ROW][C]55[/C][C]71595[/C][C]85250.4277400503[/C][C]-13655.4277400503[/C][/ROW]
[ROW][C]56[/C][C]72260[/C][C]88513.8348348691[/C][C]-16253.8348348691[/C][/ROW]
[ROW][C]57[/C][C]5950[/C][C]11065.1639933106[/C][C]-5115.16399331055[/C][/ROW]
[ROW][C]58[/C][C]115762[/C][C]118939.143528608[/C][C]-3177.1435286084[/C][/ROW]
[ROW][C]59[/C][C]32551[/C][C]35935.6500592437[/C][C]-3384.65005924373[/C][/ROW]
[ROW][C]60[/C][C]31701[/C][C]37660.9524943521[/C][C]-5959.95249435208[/C][/ROW]
[ROW][C]61[/C][C]80670[/C][C]83105.5132557238[/C][C]-2435.51325572379[/C][/ROW]
[ROW][C]62[/C][C]143558[/C][C]134316.711233802[/C][C]9241.28876619767[/C][/ROW]
[ROW][C]63[/C][C]117105[/C][C]90091.1040708574[/C][C]27013.8959291426[/C][/ROW]
[ROW][C]64[/C][C]23789[/C][C]34915.2838040042[/C][C]-11126.2838040042[/C][/ROW]
[ROW][C]65[/C][C]120733[/C][C]138605.683807295[/C][C]-17872.6838072947[/C][/ROW]
[ROW][C]66[/C][C]105195[/C][C]128794.535104822[/C][C]-23599.5351048224[/C][/ROW]
[ROW][C]67[/C][C]73107[/C][C]80859.3801748626[/C][C]-7752.38017486257[/C][/ROW]
[ROW][C]68[/C][C]132068[/C][C]129443.564620353[/C][C]2624.43537964701[/C][/ROW]
[ROW][C]69[/C][C]149193[/C][C]150140.736713587[/C][C]-947.736713586994[/C][/ROW]
[ROW][C]70[/C][C]46821[/C][C]67050.2968951451[/C][C]-20229.2968951451[/C][/ROW]
[ROW][C]71[/C][C]87011[/C][C]93526.432918395[/C][C]-6515.43291839501[/C][/ROW]
[ROW][C]72[/C][C]95260[/C][C]100727.940120137[/C][C]-5467.94012013662[/C][/ROW]
[ROW][C]73[/C][C]55183[/C][C]77617.1743023037[/C][C]-22434.1743023037[/C][/ROW]
[ROW][C]74[/C][C]106671[/C][C]79493.7306124831[/C][C]27177.2693875169[/C][/ROW]
[ROW][C]75[/C][C]73511[/C][C]107535.721205993[/C][C]-34024.7212059932[/C][/ROW]
[ROW][C]76[/C][C]92945[/C][C]75951.1649862549[/C][C]16993.8350137451[/C][/ROW]
[ROW][C]77[/C][C]78664[/C][C]75774.1280563461[/C][C]2889.87194365388[/C][/ROW]
[ROW][C]78[/C][C]70054[/C][C]99119.3528404491[/C][C]-29065.3528404491[/C][/ROW]
[ROW][C]79[/C][C]22618[/C][C]38468.2812612217[/C][C]-15850.2812612217[/C][/ROW]
[ROW][C]80[/C][C]74011[/C][C]94610.7593877489[/C][C]-20599.7593877489[/C][/ROW]
[ROW][C]81[/C][C]83737[/C][C]73383.8709454398[/C][C]10353.1290545602[/C][/ROW]
[ROW][C]82[/C][C]69094[/C][C]75126.3608198757[/C][C]-6032.36081987565[/C][/ROW]
[ROW][C]83[/C][C]93133[/C][C]84968.2666883031[/C][C]8164.73331169692[/C][/ROW]
[ROW][C]84[/C][C]95536[/C][C]96100.8939994388[/C][C]-564.893999438765[/C][/ROW]
[ROW][C]85[/C][C]225920[/C][C]93312.1330967628[/C][C]132607.866903237[/C][/ROW]
[ROW][C]86[/C][C]62133[/C][C]70412.9079601469[/C][C]-8279.90796014692[/C][/ROW]
[ROW][C]87[/C][C]61370[/C][C]61275.0875224944[/C][C]94.9124775055727[/C][/ROW]
[ROW][C]88[/C][C]43836[/C][C]50237.2016875523[/C][C]-6401.20168755232[/C][/ROW]
[ROW][C]89[/C][C]106117[/C][C]86323.3371850851[/C][C]19793.6628149149[/C][/ROW]
[ROW][C]90[/C][C]38692[/C][C]60936.5988146295[/C][C]-22244.5988146295[/C][/ROW]
[ROW][C]91[/C][C]84651[/C][C]93658.883469895[/C][C]-9007.88346989497[/C][/ROW]
[ROW][C]92[/C][C]56622[/C][C]35434.6462349893[/C][C]21187.3537650107[/C][/ROW]
[ROW][C]93[/C][C]15986[/C][C]27886.6446857243[/C][C]-11900.6446857243[/C][/ROW]
[ROW][C]94[/C][C]95364[/C][C]96304.9845882303[/C][C]-940.984588230262[/C][/ROW]
[ROW][C]95[/C][C]26706[/C][C]43255.9723386977[/C][C]-16549.9723386977[/C][/ROW]
[ROW][C]96[/C][C]89691[/C][C]76405.2847307463[/C][C]13285.7152692537[/C][/ROW]
[ROW][C]97[/C][C]67267[/C][C]91598.715652074[/C][C]-24331.715652074[/C][/ROW]
[ROW][C]98[/C][C]126846[/C][C]98060.2871613474[/C][C]28785.7128386526[/C][/ROW]
[ROW][C]99[/C][C]41140[/C][C]55987.4985180417[/C][C]-14847.4985180417[/C][/ROW]
[ROW][C]100[/C][C]102860[/C][C]94413.6794469364[/C][C]8446.3205530636[/C][/ROW]
[ROW][C]101[/C][C]51715[/C][C]61998.1575536176[/C][C]-10283.1575536175[/C][/ROW]
[ROW][C]102[/C][C]55801[/C][C]65199.4080574921[/C][C]-9398.40805749205[/C][/ROW]
[ROW][C]103[/C][C]111813[/C][C]103258.049963249[/C][C]8554.95003675066[/C][/ROW]
[ROW][C]104[/C][C]120293[/C][C]86233.673113121[/C][C]34059.3268868791[/C][/ROW]
[ROW][C]105[/C][C]138599[/C][C]113033.156764322[/C][C]25565.8432356781[/C][/ROW]
[ROW][C]106[/C][C]161647[/C][C]126177.902118927[/C][C]35469.0978810729[/C][/ROW]
[ROW][C]107[/C][C]115929[/C][C]146436.820635505[/C][C]-30507.8206355045[/C][/ROW]
[ROW][C]108[/C][C]24266[/C][C]29404.7998571381[/C][C]-5138.79985713808[/C][/ROW]
[ROW][C]109[/C][C]162901[/C][C]148917.991728342[/C][C]13983.0082716583[/C][/ROW]
[ROW][C]110[/C][C]109825[/C][C]110873.159145103[/C][C]-1048.15914510276[/C][/ROW]
[ROW][C]111[/C][C]129838[/C][C]114056.750816925[/C][C]15781.2491830753[/C][/ROW]
[ROW][C]112[/C][C]37510[/C][C]45522.4538431081[/C][C]-8012.45384310811[/C][/ROW]
[ROW][C]113[/C][C]43750[/C][C]40722.9503859197[/C][C]3027.04961408025[/C][/ROW]
[ROW][C]114[/C][C]40652[/C][C]59263.559134787[/C][C]-18611.559134787[/C][/ROW]
[ROW][C]115[/C][C]87771[/C][C]103190.461777301[/C][C]-15419.4617773015[/C][/ROW]
[ROW][C]116[/C][C]85872[/C][C]91056.1727545993[/C][C]-5184.17275459935[/C][/ROW]
[ROW][C]117[/C][C]89275[/C][C]88413.1506671505[/C][C]861.849332849529[/C][/ROW]
[ROW][C]118[/C][C]44418[/C][C]52083.3809113169[/C][C]-7665.38091131691[/C][/ROW]
[ROW][C]119[/C][C]192565[/C][C]94380.0756181867[/C][C]98184.9243818133[/C][/ROW]
[ROW][C]120[/C][C]35232[/C][C]35866.5213127243[/C][C]-634.521312724279[/C][/ROW]
[ROW][C]121[/C][C]40909[/C][C]53020.9231156914[/C][C]-12111.9231156914[/C][/ROW]
[ROW][C]122[/C][C]13294[/C][C]22836.0172485336[/C][C]-9542.01724853361[/C][/ROW]
[ROW][C]123[/C][C]32387[/C][C]53459.2194992544[/C][C]-21072.2194992544[/C][/ROW]
[ROW][C]124[/C][C]140867[/C][C]56125.1552794683[/C][C]84741.8447205317[/C][/ROW]
[ROW][C]125[/C][C]120662[/C][C]103235.21302179[/C][C]17426.7869782104[/C][/ROW]
[ROW][C]126[/C][C]21233[/C][C]33584.4507877579[/C][C]-12351.4507877579[/C][/ROW]
[ROW][C]127[/C][C]44332[/C][C]36048.3810576813[/C][C]8283.61894231867[/C][/ROW]
[ROW][C]128[/C][C]61056[/C][C]59747.8590632189[/C][C]1308.14093678108[/C][/ROW]
[ROW][C]129[/C][C]101338[/C][C]84478.2624203811[/C][C]16859.7375796189[/C][/ROW]
[ROW][C]130[/C][C]1168[/C][C]3617.42330516436[/C][C]-2449.42330516436[/C][/ROW]
[ROW][C]131[/C][C]13497[/C][C]17161.6014757884[/C][C]-3664.60147578841[/C][/ROW]
[ROW][C]132[/C][C]65567[/C][C]74825.877159012[/C][C]-9258.87715901196[/C][/ROW]
[ROW][C]133[/C][C]25162[/C][C]30599.3536883074[/C][C]-5437.35368830736[/C][/ROW]
[ROW][C]134[/C][C]32334[/C][C]44185.2981557437[/C][C]-11851.2981557437[/C][/ROW]
[ROW][C]135[/C][C]40735[/C][C]55790.4629218523[/C][C]-15055.4629218523[/C][/ROW]
[ROW][C]136[/C][C]91413[/C][C]114856.565766156[/C][C]-23443.5657661559[/C][/ROW]
[ROW][C]137[/C][C]855[/C][C]2403.13237315567[/C][C]-1548.13237315567[/C][/ROW]
[ROW][C]138[/C][C]97068[/C][C]72487.9035539169[/C][C]24580.0964460831[/C][/ROW]
[ROW][C]139[/C][C]44339[/C][C]19973.2356867197[/C][C]24365.7643132803[/C][/ROW]
[ROW][C]140[/C][C]14116[/C][C]15195.809477157[/C][C]-1079.80947715703[/C][/ROW]
[ROW][C]141[/C][C]10288[/C][C]17595.9981897841[/C][C]-7307.99818978412[/C][/ROW]
[ROW][C]142[/C][C]65622[/C][C]54857.5594846349[/C][C]10764.4405153651[/C][/ROW]
[ROW][C]143[/C][C]16563[/C][C]14144.7868067975[/C][C]2418.21319320253[/C][/ROW]
[ROW][C]144[/C][C]76643[/C][C]100790.683009546[/C][C]-24147.6830095463[/C][/ROW]
[ROW][C]145[/C][C]110681[/C][C]88441.3490456899[/C][C]22239.6509543101[/C][/ROW]
[ROW][C]146[/C][C]29011[/C][C]28441.7867226917[/C][C]569.213277308305[/C][/ROW]
[ROW][C]147[/C][C]92696[/C][C]54323.5744176198[/C][C]38372.4255823802[/C][/ROW]
[ROW][C]148[/C][C]94785[/C][C]55814.0006057956[/C][C]38970.9993942044[/C][/ROW]
[ROW][C]149[/C][C]8773[/C][C]14177.5250124412[/C][C]-5404.52501244123[/C][/ROW]
[ROW][C]150[/C][C]83209[/C][C]68042.3231915468[/C][C]15166.6768084532[/C][/ROW]
[ROW][C]151[/C][C]93815[/C][C]106431.363085095[/C][C]-12616.3630850948[/C][/ROW]
[ROW][C]152[/C][C]86687[/C][C]95154.2897803783[/C][C]-8467.28978037825[/C][/ROW]
[ROW][C]153[/C][C]34553[/C][C]30437.1876878295[/C][C]4115.81231217054[/C][/ROW]
[ROW][C]154[/C][C]105547[/C][C]125228.429391089[/C][C]-19681.4293910892[/C][/ROW]
[ROW][C]155[/C][C]103487[/C][C]109608.886190454[/C][C]-6121.88619045363[/C][/ROW]
[ROW][C]156[/C][C]213688[/C][C]160347.902685707[/C][C]53340.0973142934[/C][/ROW]
[ROW][C]157[/C][C]71220[/C][C]77762.7430919863[/C][C]-6542.74309198628[/C][/ROW]
[ROW][C]158[/C][C]23517[/C][C]27475.400854834[/C][C]-3958.40085483396[/C][/ROW]
[ROW][C]159[/C][C]56926[/C][C]45905.3261367167[/C][C]11020.6738632833[/C][/ROW]
[ROW][C]160[/C][C]91721[/C][C]84027.3709926943[/C][C]7693.62900730574[/C][/ROW]
[ROW][C]161[/C][C]115168[/C][C]119321.207074134[/C][C]-4153.20707413414[/C][/ROW]
[ROW][C]162[/C][C]111194[/C][C]47465.5801152088[/C][C]63728.4198847912[/C][/ROW]
[ROW][C]163[/C][C]51009[/C][C]46581.5949889761[/C][C]4427.40501102394[/C][/ROW]
[ROW][C]164[/C][C]135777[/C][C]100210.073266238[/C][C]35566.9267337617[/C][/ROW]
[ROW][C]165[/C][C]51513[/C][C]60515.3874546827[/C][C]-9002.38745468267[/C][/ROW]
[ROW][C]166[/C][C]74163[/C][C]99940.9990982296[/C][C]-25777.9990982296[/C][/ROW]
[ROW][C]167[/C][C]51633[/C][C]73617.0304953004[/C][C]-21984.0304953004[/C][/ROW]
[ROW][C]168[/C][C]75345[/C][C]32900.7121209073[/C][C]42444.2878790927[/C][/ROW]
[ROW][C]169[/C][C]33416[/C][C]53053.5442735976[/C][C]-19637.5442735976[/C][/ROW]
[ROW][C]170[/C][C]83305[/C][C]45683.2786139711[/C][C]37621.7213860289[/C][/ROW]
[ROW][C]171[/C][C]98952[/C][C]80772.1855829792[/C][C]18179.8144170208[/C][/ROW]
[ROW][C]172[/C][C]102372[/C][C]97707.2166594293[/C][C]4664.78334057066[/C][/ROW]
[ROW][C]173[/C][C]37238[/C][C]20203.0251219092[/C][C]17034.9748780908[/C][/ROW]
[ROW][C]174[/C][C]103772[/C][C]118922.378593205[/C][C]-15150.3785932054[/C][/ROW]
[ROW][C]175[/C][C]123969[/C][C]90393.8676889389[/C][C]33575.1323110611[/C][/ROW]
[ROW][C]176[/C][C]27142[/C][C]35110.8042303369[/C][C]-7968.80423033686[/C][/ROW]
[ROW][C]177[/C][C]135400[/C][C]99945.1421311293[/C][C]35454.8578688707[/C][/ROW]
[ROW][C]178[/C][C]21399[/C][C]24703.7192919571[/C][C]-3304.71929195715[/C][/ROW]
[ROW][C]179[/C][C]130115[/C][C]115395.606792947[/C][C]14719.3932070533[/C][/ROW]
[ROW][C]180[/C][C]24874[/C][C]39822.8199590703[/C][C]-14948.8199590703[/C][/ROW]
[ROW][C]181[/C][C]34988[/C][C]27974.7343797343[/C][C]7013.26562026567[/C][/ROW]
[ROW][C]182[/C][C]45549[/C][C]20216.1768180775[/C][C]25332.8231819225[/C][/ROW]
[ROW][C]183[/C][C]6023[/C][C]5267.54586421283[/C][C]755.454135787175[/C][/ROW]
[ROW][C]184[/C][C]64466[/C][C]67147.8342462793[/C][C]-2681.8342462793[/C][/ROW]
[ROW][C]185[/C][C]54990[/C][C]90693.8376285581[/C][C]-35703.8376285581[/C][/ROW]
[ROW][C]186[/C][C]1644[/C][C]3075.62282066095[/C][C]-1431.62282066095[/C][/ROW]
[ROW][C]187[/C][C]6179[/C][C]11969.5916823567[/C][C]-5790.5916823567[/C][/ROW]
[ROW][C]188[/C][C]3926[/C][C]6016.15438605537[/C][C]-2090.15438605537[/C][/ROW]
[ROW][C]189[/C][C]32755[/C][C]45970.6990379873[/C][C]-13215.6990379873[/C][/ROW]
[ROW][C]190[/C][C]34777[/C][C]21607.2491138389[/C][C]13169.7508861611[/C][/ROW]
[ROW][C]191[/C][C]73224[/C][C]48960.6815372752[/C][C]24263.3184627248[/C][/ROW]
[ROW][C]192[/C][C]27114[/C][C]24312.2010959308[/C][C]2801.79890406917[/C][/ROW]
[ROW][C]193[/C][C]20760[/C][C]36343.2476768363[/C][C]-15583.2476768363[/C][/ROW]
[ROW][C]194[/C][C]37636[/C][C]53360.9702768909[/C][C]-15724.9702768909[/C][/ROW]
[ROW][C]195[/C][C]65461[/C][C]70758.2715529359[/C][C]-5297.2715529359[/C][/ROW]
[ROW][C]196[/C][C]30080[/C][C]39163.0260445659[/C][C]-9083.02604456594[/C][/ROW]
[ROW][C]197[/C][C]24094[/C][C]30827.3160734198[/C][C]-6733.31607341977[/C][/ROW]
[ROW][C]198[/C][C]69008[/C][C]35746.3041950424[/C][C]33261.6958049576[/C][/ROW]
[ROW][C]199[/C][C]54968[/C][C]31619.470243538[/C][C]23348.529756462[/C][/ROW]
[ROW][C]200[/C][C]46090[/C][C]35763.5879304011[/C][C]10326.4120695989[/C][/ROW]
[ROW][C]201[/C][C]27507[/C][C]40127.0127869183[/C][C]-12620.0127869183[/C][/ROW]
[ROW][C]202[/C][C]10672[/C][C]25980.6579223676[/C][C]-15308.6579223676[/C][/ROW]
[ROW][C]203[/C][C]34029[/C][C]32138.8217063267[/C][C]1890.17829367329[/C][/ROW]
[ROW][C]204[/C][C]46300[/C][C]48474.8833565574[/C][C]-2174.88335655744[/C][/ROW]
[ROW][C]205[/C][C]24760[/C][C]36464.1586583743[/C][C]-11704.1586583743[/C][/ROW]
[ROW][C]206[/C][C]18779[/C][C]16556.2639724793[/C][C]2222.73602752068[/C][/ROW]
[ROW][C]207[/C][C]21280[/C][C]29433.0620107487[/C][C]-8153.06201074868[/C][/ROW]
[ROW][C]208[/C][C]40662[/C][C]40819.9562730941[/C][C]-157.95627309415[/C][/ROW]
[ROW][C]209[/C][C]28987[/C][C]34677.3085322897[/C][C]-5690.30853228967[/C][/ROW]
[ROW][C]210[/C][C]22827[/C][C]42788.7483202425[/C][C]-19961.7483202425[/C][/ROW]
[ROW][C]211[/C][C]18513[/C][C]36196.7287384047[/C][C]-17683.7287384047[/C][/ROW]
[ROW][C]212[/C][C]30594[/C][C]27797.7613307253[/C][C]2796.23866927471[/C][/ROW]
[ROW][C]213[/C][C]24006[/C][C]27393.2917648013[/C][C]-3387.29176480132[/C][/ROW]
[ROW][C]214[/C][C]27913[/C][C]39387.0747901917[/C][C]-11474.0747901917[/C][/ROW]
[ROW][C]215[/C][C]42744[/C][C]31750.2558508821[/C][C]10993.7441491179[/C][/ROW]
[ROW][C]216[/C][C]12934[/C][C]35286.2280346276[/C][C]-22352.2280346276[/C][/ROW]
[ROW][C]217[/C][C]22574[/C][C]26696.0958603229[/C][C]-4122.09586032285[/C][/ROW]
[ROW][C]218[/C][C]41385[/C][C]42278.3558413105[/C][C]-893.355841310464[/C][/ROW]
[ROW][C]219[/C][C]18653[/C][C]35457.3872627731[/C][C]-16804.3872627731[/C][/ROW]
[ROW][C]220[/C][C]18472[/C][C]24949.1481977643[/C][C]-6477.1481977643[/C][/ROW]
[ROW][C]221[/C][C]30976[/C][C]37923.552550606[/C][C]-6947.55255060597[/C][/ROW]
[ROW][C]222[/C][C]63339[/C][C]79624.3337249095[/C][C]-16285.3337249095[/C][/ROW]
[ROW][C]223[/C][C]25568[/C][C]43829.598185734[/C][C]-18261.598185734[/C][/ROW]
[ROW][C]224[/C][C]33747[/C][C]38388.129386787[/C][C]-4641.12938678698[/C][/ROW]
[ROW][C]225[/C][C]4154[/C][C]12573.8718566942[/C][C]-8419.87185669425[/C][/ROW]
[ROW][C]226[/C][C]19474[/C][C]34902.4376241671[/C][C]-15428.4376241671[/C][/ROW]
[ROW][C]227[/C][C]35130[/C][C]18094.1743992579[/C][C]17035.8256007421[/C][/ROW]
[ROW][C]228[/C][C]39067[/C][C]37191.4876628148[/C][C]1875.51233718517[/C][/ROW]
[ROW][C]229[/C][C]13310[/C][C]24664.0700685664[/C][C]-11354.0700685664[/C][/ROW]
[ROW][C]230[/C][C]65892[/C][C]34623.8989125323[/C][C]31268.1010874677[/C][/ROW]
[ROW][C]231[/C][C]4143[/C][C]16553.7639718451[/C][C]-12410.7639718451[/C][/ROW]
[ROW][C]232[/C][C]28579[/C][C]35649.0064702829[/C][C]-7070.00647028292[/C][/ROW]
[ROW][C]233[/C][C]51776[/C][C]41262.9939502624[/C][C]10513.0060497376[/C][/ROW]
[ROW][C]234[/C][C]21152[/C][C]24283.8404248226[/C][C]-3131.84042482264[/C][/ROW]
[ROW][C]235[/C][C]38084[/C][C]32868.7283317322[/C][C]5215.27166826783[/C][/ROW]
[ROW][C]236[/C][C]27717[/C][C]31801.4149686342[/C][C]-4084.41496863416[/C][/ROW]
[ROW][C]237[/C][C]32928[/C][C]24478.6617143509[/C][C]8449.33828564911[/C][/ROW]
[ROW][C]238[/C][C]11342[/C][C]19187.589230805[/C][C]-7845.589230805[/C][/ROW]
[ROW][C]239[/C][C]19499[/C][C]30004.014164145[/C][C]-10505.014164145[/C][/ROW]
[ROW][C]240[/C][C]16380[/C][C]19536.9353837729[/C][C]-3156.93538377287[/C][/ROW]
[ROW][C]241[/C][C]36874[/C][C]27761.8749895812[/C][C]9112.12501041877[/C][/ROW]
[ROW][C]242[/C][C]48259[/C][C]59370.4258435956[/C][C]-11111.4258435956[/C][/ROW]
[ROW][C]243[/C][C]16734[/C][C]25496.6680358127[/C][C]-8762.66803581273[/C][/ROW]
[ROW][C]244[/C][C]28207[/C][C]29529.7084318958[/C][C]-1322.70843189575[/C][/ROW]
[ROW][C]245[/C][C]30143[/C][C]32200.0627067726[/C][C]-2057.06270677263[/C][/ROW]
[ROW][C]246[/C][C]41369[/C][C]33287.9162845109[/C][C]8081.08371548912[/C][/ROW]
[ROW][C]247[/C][C]45833[/C][C]40631.0455610927[/C][C]5201.95443890732[/C][/ROW]
[ROW][C]248[/C][C]29156[/C][C]27869.1742082809[/C][C]1286.82579171914[/C][/ROW]
[ROW][C]249[/C][C]35944[/C][C]18362.8048294[/C][C]17581.1951706[/C][/ROW]
[ROW][C]250[/C][C]36278[/C][C]20342.6293627276[/C][C]15935.3706372724[/C][/ROW]
[ROW][C]251[/C][C]45588[/C][C]46831.2322127191[/C][C]-1243.23221271913[/C][/ROW]
[ROW][C]252[/C][C]45097[/C][C]43871.8215443606[/C][C]1225.17845563945[/C][/ROW]
[ROW][C]253[/C][C]3895[/C][C]6563.30153643924[/C][C]-2668.30153643924[/C][/ROW]
[ROW][C]254[/C][C]28394[/C][C]30192.2347259785[/C][C]-1798.23472597849[/C][/ROW]
[ROW][C]255[/C][C]18632[/C][C]27674.8824917442[/C][C]-9042.88249174419[/C][/ROW]
[ROW][C]256[/C][C]2325[/C][C]2674.49334062864[/C][C]-349.493340628643[/C][/ROW]
[ROW][C]257[/C][C]25139[/C][C]20955.9095784032[/C][C]4183.09042159681[/C][/ROW]
[ROW][C]258[/C][C]27975[/C][C]22295.4965475027[/C][C]5679.5034524973[/C][/ROW]
[ROW][C]259[/C][C]14483[/C][C]25918.0767507401[/C][C]-11435.0767507401[/C][/ROW]
[ROW][C]260[/C][C]13127[/C][C]17540.6700704276[/C][C]-4413.67007042765[/C][/ROW]
[ROW][C]261[/C][C]5839[/C][C]7923.38125479004[/C][C]-2084.38125479004[/C][/ROW]
[ROW][C]262[/C][C]24069[/C][C]40705.8453818025[/C][C]-16636.8453818025[/C][/ROW]
[ROW][C]263[/C][C]3738[/C][C]6212.68686729585[/C][C]-2474.68686729585[/C][/ROW]
[ROW][C]264[/C][C]18625[/C][C]26121.2036294858[/C][C]-7496.20362948576[/C][/ROW]
[ROW][C]265[/C][C]36341[/C][C]24875.8749147318[/C][C]11465.1250852682[/C][/ROW]
[ROW][C]266[/C][C]24548[/C][C]28231.2854659384[/C][C]-3683.28546593844[/C][/ROW]
[ROW][C]267[/C][C]21792[/C][C]33308.7069643204[/C][C]-11516.7069643204[/C][/ROW]
[ROW][C]268[/C][C]26263[/C][C]19886.0060517438[/C][C]6376.99394825619[/C][/ROW]
[ROW][C]269[/C][C]23686[/C][C]37731.9833974651[/C][C]-14045.9833974651[/C][/ROW]
[ROW][C]270[/C][C]49303[/C][C]37818.3083156104[/C][C]11484.6916843896[/C][/ROW]
[ROW][C]271[/C][C]25659[/C][C]30412.5448073115[/C][C]-4753.5448073115[/C][/ROW]
[ROW][C]272[/C][C]28904[/C][C]27917.5445652127[/C][C]986.45543478732[/C][/ROW]
[ROW][C]273[/C][C]2781[/C][C]220.56651368219[/C][C]2560.43348631781[/C][/ROW]
[ROW][C]274[/C][C]29236[/C][C]35457.5235377845[/C][C]-6221.52353778445[/C][/ROW]
[ROW][C]275[/C][C]19546[/C][C]18349.5958539605[/C][C]1196.40414603946[/C][/ROW]
[ROW][C]276[/C][C]22818[/C][C]29609.8726863693[/C][C]-6791.87268636928[/C][/ROW]
[ROW][C]277[/C][C]32689[/C][C]14164.5371660078[/C][C]18524.4628339922[/C][/ROW]
[ROW][C]278[/C][C]5752[/C][C]10642.6138002367[/C][C]-4890.61380023667[/C][/ROW]
[ROW][C]279[/C][C]22197[/C][C]39143.6253280763[/C][C]-16946.6253280763[/C][/ROW]
[ROW][C]280[/C][C]20055[/C][C]27576.3945957795[/C][C]-7521.3945957795[/C][/ROW]
[ROW][C]281[/C][C]25272[/C][C]27070.7853389261[/C][C]-1798.78533892612[/C][/ROW]
[ROW][C]282[/C][C]82206[/C][C]16939.8954932682[/C][C]65266.1045067318[/C][/ROW]
[ROW][C]283[/C][C]32073[/C][C]19811.5171348085[/C][C]12261.4828651915[/C][/ROW]
[ROW][C]284[/C][C]5444[/C][C]6661.24202393533[/C][C]-1217.24202393533[/C][/ROW]
[ROW][C]285[/C][C]20154[/C][C]22642.2978018951[/C][C]-2488.29780189514[/C][/ROW]
[ROW][C]286[/C][C]36944[/C][C]17380.8181486955[/C][C]19563.1818513045[/C][/ROW]
[ROW][C]287[/C][C]8019[/C][C]16929.5650271697[/C][C]-8910.56502716973[/C][/ROW]
[ROW][C]288[/C][C]30884[/C][C]39840.2884485716[/C][C]-8956.28844857163[/C][/ROW]
[ROW][C]289[/C][C]19540[/C][C]25926.9136121024[/C][C]-6386.91361210242[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154300&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154300&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
1112285107201.5146352215083.48536477867
28478689586.7691990242-4800.76919902421
38312391166.8987791165-8043.89877911646
410119398817.29766283372375.70233716633
53836154797.0727280014-16436.0727280014
66850448673.714415746319830.2855842537
7119182107110.53768326712071.4623167326
82280711110.629162658211696.3708373418
91714020840.8688354349-3700.86883543485
1011617491146.878000450425027.1219995496
115763559808.2365303617-2173.2365303617
126619898459.3006477224-32261.3006477224
137170193934.3012785016-22233.3012785016
145779367351.5232469927-9558.52324699268
158044485032.4885110996-4588.48851109955
165385577504.1994357739-23649.1994357739
1797668115987.786234608-18319.7862346076
18133824109525.09518051524298.9048194847
1910148178160.779053570423320.2209464296
209964576863.703250351222781.2967496488
21114789100293.83485546214495.165144538
2299052106054.419917752-7002.41991775184
236765475880.2691080278-8226.2691080278
246555380465.558777462-14912.558777462
259750095808.3189849721691.68101502799
266911289646.2356092032-20534.2356092032
278275384870.5993564082-2117.59935640815
288532395028.8525996953-9705.8525996953
297265496822.8212626746-24168.8212626746
303072743472.2778966621-12745.2778966621
3177873103822.201191687-25949.2011916873
32117478124246.621491852-6768.62149185181
337400778318.9633424201-4311.9633424201
3490183119761.29107814-29578.2910781402
356154244676.138560854816865.8614391452
36101494122610.140471328-21116.1404713277
372757039090.6669743094-11520.6669743094
385581348854.06592430616958.93407569388
397921598031.0009074235-18816.0009074235
4014232068.52209972331-645.522099723311
415546166670.1146208075-11209.1146208075
423108144265.3747475593-13184.3747475593
432299634854.534044734-11858.534044734
4483122103714.521303188-20592.5213031883
457010696810.3750186249-26704.3750186249
466057874956.8981932847-14378.8981932847
473999246687.6330708694-6695.6330708694
487989293753.1140337821-13861.1140337821
494981055982.4232555555-6172.42325555551
507157063012.68466275318557.31533724687
5110070874252.629551418326455.3704485817
523303251392.2915867683-18360.2915867683
538287584989.4872848525-2114.48728485245
54139077121492.11904538117584.8809546185
557159585250.4277400503-13655.4277400503
567226088513.8348348691-16253.8348348691
57595011065.1639933106-5115.16399331055
58115762118939.143528608-3177.1435286084
593255135935.6500592437-3384.65005924373
603170137660.9524943521-5959.95249435208
618067083105.5132557238-2435.51325572379
62143558134316.7112338029241.28876619767
6311710590091.104070857427013.8959291426
642378934915.2838040042-11126.2838040042
65120733138605.683807295-17872.6838072947
66105195128794.535104822-23599.5351048224
677310780859.3801748626-7752.38017486257
68132068129443.5646203532624.43537964701
69149193150140.736713587-947.736713586994
704682167050.2968951451-20229.2968951451
718701193526.432918395-6515.43291839501
7295260100727.940120137-5467.94012013662
735518377617.1743023037-22434.1743023037
7410667179493.730612483127177.2693875169
7573511107535.721205993-34024.7212059932
769294575951.164986254916993.8350137451
777866475774.12805634612889.87194365388
787005499119.3528404491-29065.3528404491
792261838468.2812612217-15850.2812612217
807401194610.7593877489-20599.7593877489
818373773383.870945439810353.1290545602
826909475126.3608198757-6032.36081987565
839313384968.26668830318164.73331169692
849553696100.8939994388-564.893999438765
8522592093312.1330967628132607.866903237
866213370412.9079601469-8279.90796014692
876137061275.087522494494.9124775055727
884383650237.2016875523-6401.20168755232
8910611786323.337185085119793.6628149149
903869260936.5988146295-22244.5988146295
918465193658.883469895-9007.88346989497
925662235434.646234989321187.3537650107
931598627886.6446857243-11900.6446857243
949536496304.9845882303-940.984588230262
952670643255.9723386977-16549.9723386977
968969176405.284730746313285.7152692537
976726791598.715652074-24331.715652074
9812684698060.287161347428785.7128386526
994114055987.4985180417-14847.4985180417
10010286094413.67944693648446.3205530636
1015171561998.1575536176-10283.1575536175
1025580165199.4080574921-9398.40805749205
103111813103258.0499632498554.95003675066
10412029386233.67311312134059.3268868791
105138599113033.15676432225565.8432356781
106161647126177.90211892735469.0978810729
107115929146436.820635505-30507.8206355045
1082426629404.7998571381-5138.79985713808
109162901148917.99172834213983.0082716583
110109825110873.159145103-1048.15914510276
111129838114056.75081692515781.2491830753
1123751045522.4538431081-8012.45384310811
1134375040722.95038591973027.04961408025
1144065259263.559134787-18611.559134787
11587771103190.461777301-15419.4617773015
1168587291056.1727545993-5184.17275459935
1178927588413.1506671505861.849332849529
1184441852083.3809113169-7665.38091131691
11919256594380.075618186798184.9243818133
1203523235866.5213127243-634.521312724279
1214090953020.9231156914-12111.9231156914
1221329422836.0172485336-9542.01724853361
1233238753459.2194992544-21072.2194992544
12414086756125.155279468384741.8447205317
125120662103235.2130217917426.7869782104
1262123333584.4507877579-12351.4507877579
1274433236048.38105768138283.61894231867
1286105659747.85906321891308.14093678108
12910133884478.262420381116859.7375796189
13011683617.42330516436-2449.42330516436
1311349717161.6014757884-3664.60147578841
1326556774825.877159012-9258.87715901196
1332516230599.3536883074-5437.35368830736
1343233444185.2981557437-11851.2981557437
1354073555790.4629218523-15055.4629218523
13691413114856.565766156-23443.5657661559
1378552403.13237315567-1548.13237315567
1389706872487.903553916924580.0964460831
1394433919973.235686719724365.7643132803
1401411615195.809477157-1079.80947715703
1411028817595.9981897841-7307.99818978412
1426562254857.559484634910764.4405153651
1431656314144.78680679752418.21319320253
14476643100790.683009546-24147.6830095463
14511068188441.349045689922239.6509543101
1462901128441.7867226917569.213277308305
1479269654323.574417619838372.4255823802
1489478555814.000605795638970.9993942044
149877314177.5250124412-5404.52501244123
1508320968042.323191546815166.6768084532
15193815106431.363085095-12616.3630850948
1528668795154.2897803783-8467.28978037825
1533455330437.18768782954115.81231217054
154105547125228.429391089-19681.4293910892
155103487109608.886190454-6121.88619045363
156213688160347.90268570753340.0973142934
1577122077762.7430919863-6542.74309198628
1582351727475.400854834-3958.40085483396
1595692645905.326136716711020.6738632833
1609172184027.37099269437693.62900730574
161115168119321.207074134-4153.20707413414
16211119447465.580115208863728.4198847912
1635100946581.59498897614427.40501102394
164135777100210.07326623835566.9267337617
1655151360515.3874546827-9002.38745468267
1667416399940.9990982296-25777.9990982296
1675163373617.0304953004-21984.0304953004
1687534532900.712120907342444.2878790927
1693341653053.5442735976-19637.5442735976
1708330545683.278613971137621.7213860289
1719895280772.185582979218179.8144170208
17210237297707.21665942934664.78334057066
1733723820203.025121909217034.9748780908
174103772118922.378593205-15150.3785932054
17512396990393.867688938933575.1323110611
1762714235110.8042303369-7968.80423033686
17713540099945.142131129335454.8578688707
1782139924703.7192919571-3304.71929195715
179130115115395.60679294714719.3932070533
1802487439822.8199590703-14948.8199590703
1813498827974.73437973437013.26562026567
1824554920216.176818077525332.8231819225
18360235267.54586421283755.454135787175
1846446667147.8342462793-2681.8342462793
1855499090693.8376285581-35703.8376285581
18616443075.62282066095-1431.62282066095
187617911969.5916823567-5790.5916823567
18839266016.15438605537-2090.15438605537
1893275545970.6990379873-13215.6990379873
1903477721607.249113838913169.7508861611
1917322448960.681537275224263.3184627248
1922711424312.20109593082801.79890406917
1932076036343.2476768363-15583.2476768363
1943763653360.9702768909-15724.9702768909
1956546170758.2715529359-5297.2715529359
1963008039163.0260445659-9083.02604456594
1972409430827.3160734198-6733.31607341977
1986900835746.304195042433261.6958049576
1995496831619.47024353823348.529756462
2004609035763.587930401110326.4120695989
2012750740127.0127869183-12620.0127869183
2021067225980.6579223676-15308.6579223676
2033402932138.82170632671890.17829367329
2044630048474.8833565574-2174.88335655744
2052476036464.1586583743-11704.1586583743
2061877916556.26397247932222.73602752068
2072128029433.0620107487-8153.06201074868
2084066240819.9562730941-157.95627309415
2092898734677.3085322897-5690.30853228967
2102282742788.7483202425-19961.7483202425
2111851336196.7287384047-17683.7287384047
2123059427797.76133072532796.23866927471
2132400627393.2917648013-3387.29176480132
2142791339387.0747901917-11474.0747901917
2154274431750.255850882110993.7441491179
2161293435286.2280346276-22352.2280346276
2172257426696.0958603229-4122.09586032285
2184138542278.3558413105-893.355841310464
2191865335457.3872627731-16804.3872627731
2201847224949.1481977643-6477.1481977643
2213097637923.552550606-6947.55255060597
2226333979624.3337249095-16285.3337249095
2232556843829.598185734-18261.598185734
2243374738388.129386787-4641.12938678698
225415412573.8718566942-8419.87185669425
2261947434902.4376241671-15428.4376241671
2273513018094.174399257917035.8256007421
2283906737191.48766281481875.51233718517
2291331024664.0700685664-11354.0700685664
2306589234623.898912532331268.1010874677
231414316553.7639718451-12410.7639718451
2322857935649.0064702829-7070.00647028292
2335177641262.993950262410513.0060497376
2342115224283.8404248226-3131.84042482264
2353808432868.72833173225215.27166826783
2362771731801.4149686342-4084.41496863416
2373292824478.66171435098449.33828564911
2381134219187.589230805-7845.589230805
2391949930004.014164145-10505.014164145
2401638019536.9353837729-3156.93538377287
2413687427761.87498958129112.12501041877
2424825959370.4258435956-11111.4258435956
2431673425496.6680358127-8762.66803581273
2442820729529.7084318958-1322.70843189575
2453014332200.0627067726-2057.06270677263
2464136933287.91628451098081.08371548912
2474583340631.04556109275201.95443890732
2482915627869.17420828091286.82579171914
2493594418362.804829417581.1951706
2503627820342.629362727615935.3706372724
2514558846831.2322127191-1243.23221271913
2524509743871.82154436061225.17845563945
25338956563.30153643924-2668.30153643924
2542839430192.2347259785-1798.23472597849
2551863227674.8824917442-9042.88249174419
25623252674.49334062864-349.493340628643
2572513920955.90957840324183.09042159681
2582797522295.49654750275679.5034524973
2591448325918.0767507401-11435.0767507401
2601312717540.6700704276-4413.67007042765
26158397923.38125479004-2084.38125479004
2622406940705.8453818025-16636.8453818025
26337386212.68686729585-2474.68686729585
2641862526121.2036294858-7496.20362948576
2653634124875.874914731811465.1250852682
2662454828231.2854659384-3683.28546593844
2672179233308.7069643204-11516.7069643204
2682626319886.00605174386376.99394825619
2692368637731.9833974651-14045.9833974651
2704930337818.308315610411484.6916843896
2712565930412.5448073115-4753.5448073115
2722890427917.5445652127986.45543478732
2732781220.566513682192560.43348631781
2742923635457.5235377845-6221.52353778445
2751954618349.59585396051196.40414603946
2762281829609.8726863693-6791.87268636928
2773268914164.537166007818524.4628339922
278575210642.6138002367-4890.61380023667
2792219739143.6253280763-16946.6253280763
2802005527576.3945957795-7521.3945957795
2812527227070.7853389261-1798.78533892612
2828220616939.895493268265266.1045067318
2833207319811.517134808512261.4828651915
28454446661.24202393533-1217.24202393533
2852015422642.2978018951-2488.29780189514
2863694417380.818148695519563.1818513045
287801916929.5650271697-8910.56502716973
2883088439840.2884485716-8956.28844857163
2891954025926.9136121024-6386.91361210242







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
180.2183073928448810.4366147856897630.781692607155119
190.1644663165261150.328932633052230.835533683473885
200.0826251107738330.1652502215476660.917374889226167
210.4170847189494760.8341694378989520.582915281050524
220.3775630531565680.7551261063131360.622436946843432
230.2762473630836570.5524947261673140.723752636916343
240.1944009259581330.3888018519162670.805599074041867
250.1500114854886920.3000229709773840.849988514511308
260.1018819174128240.2037638348256480.898118082587176
270.08853335673850190.1770667134770040.911466643261498
280.0574494270309440.1148988540618880.942550572969056
290.03965501817832370.07931003635664740.960344981821676
300.03044022874382870.06088045748765740.969559771256171
310.05106872558968960.1021374511793790.94893127441031
320.03645786834380130.07291573668760270.963542131656199
330.02407554319614490.04815108639228990.975924456803855
340.01666900262853940.03333800525707880.983330997371461
350.02787427369913720.05574854739827440.972125726300863
360.03278703438599420.06557406877198830.967212965614006
370.02727197994753150.05454395989506290.972728020052469
380.01986285834734530.03972571669469070.980137141652655
390.01452503953072540.02905007906145080.985474960469275
400.02148472461863850.0429694492372770.978515275381362
410.01708081658088270.03416163316176530.982919183419117
420.01304544575886110.02609089151772220.986954554241139
430.008948671304655060.01789734260931010.991051328695345
440.007120765948762020.0142415318975240.992879234051238
450.02449225557537740.04898451115075480.975507744424623
460.01894309270201250.03788618540402490.981056907297988
470.01405204074298160.02810408148596310.985947959257018
480.01068236475246760.02136472950493520.989317635247532
490.007431104670532880.01486220934106580.992568895329467
500.01051171706042150.02102343412084310.989488282939578
510.01570480418531020.03140960837062050.98429519581469
520.01345252387060550.0269050477412110.986547476129395
530.009508377239753360.01901675447950670.990491622760247
540.01097079024271970.02194158048543940.98902920975728
550.01140174806365830.02280349612731660.988598251936342
560.008614624189174950.01722924837834990.991385375810825
570.006201649027707620.01240329805541520.993798350972292
580.006125570283207160.01225114056641430.993874429716793
590.00426285307941050.008525706158821010.995737146920589
600.002994126602872740.005988253205745480.997005873397127
610.002113912007215890.004227824014431780.997886087992784
620.002463592967175670.004927185934351330.997536407032824
630.002511171767532540.005022343535065070.997488828232467
640.001819337279345330.003638674558690650.998180662720655
650.005376452839847950.01075290567969590.994623547160152
660.005128485270662630.01025697054132530.994871514729337
670.00376873762349790.00753747524699580.996231262376502
680.0030058853964610.0060117707929220.996994114603539
690.002094012911747660.004188025823495320.997905987088252
700.002021089105158690.004042178210317390.997978910894841
710.001530491438474520.003060982876949030.998469508561525
720.001070135711810730.002140271423621460.998929864288189
730.0009566743321448280.001913348664289660.999043325667855
740.001756377103972210.003512754207944420.998243622896028
750.003409371202713070.006818742405426140.996590628797287
760.003264901286004790.006529802572009580.996735098713995
770.00277529553854650.005550591077092990.997224704461454
780.004300479753061810.008600959506123630.995699520246938
790.00380300608664170.00760601217328340.996196993913358
800.00370399987156020.007407999743120410.99629600012844
810.002983096374641030.005966192749282060.997016903625359
820.002197461555742610.004394923111485210.997802538444257
830.001753167167349870.003506334334699750.99824683283265
840.001291930633830840.002583861267661690.998708069366169
850.9739033182681220.05219336346375670.0260966817318784
860.9687170661900810.06256586761983750.0312829338099188
870.9624627881074310.07507442378513870.0375372118925694
880.9550932980548070.08981340389038550.0449067019451927
890.9559903496468930.08801930070621430.0440096503531071
900.9610090496310010.07798190073799730.0389909503689986
910.957367559349930.08526488130014050.0426324406500703
920.9568939708544450.08621205829110960.0431060291455548
930.9491225974579380.1017548050841240.050877402542062
940.9392810370774980.1214379258450040.0607189629225018
950.9358260932866950.128347813426610.0641739067133052
960.9350918491283780.1298163017432450.0649081508716223
970.9406525597652540.1186948804694930.0593474402347464
980.9544489688478690.09110206230426270.0455510311521314
990.9511360217223610.09772795655527780.0488639782776389
1000.9427612795020980.1144774409958040.057238720497902
1010.9355651564121490.1288696871757020.0644348435878511
1020.9264716392633070.1470567214733860.0735283607366931
1030.9194736911476120.1610526177047760.0805263088523881
1040.9448296906722470.1103406186555060.0551703093277528
1050.9490004738144530.1019990523710950.0509995261855474
1060.9638366582528730.07232668349425440.0361633417471272
1070.9777808910801250.04443821783975080.0222191089198754
1080.9726742095273470.05465158094530610.0273257904726531
1090.9689915354715960.06201692905680820.0310084645284041
1100.9640675927710310.07186481445793730.0359324072289687
1110.961143797852450.07771240429510070.0388562021475503
1120.9581187051809340.08376258963813150.0418812948190657
1130.9500643888885120.09987122222297560.0499356111114878
1140.9514137749388810.09717245012223750.0485862250611188
1150.9471391376773460.1057217246453090.0528608623226544
1160.9374318846364210.1251362307271590.0625681153635795
1170.9260441465348280.1479117069303440.073955853465172
1180.9137118222977920.1725763554044160.0862881777022078
1190.9997117297980670.0005765404038653080.000288270201932654
1200.9996062703585790.0007874592828430520.000393729641421526
1210.999497095626470.001005808747059780.000502904373529889
1220.9994248432107170.001150313578566790.000575156789283393
1230.9994000387633010.001199922473397560.000599961236698781
1240.9999994218548541.15629029293967e-065.78145146469837e-07
1250.9999994383682111.12326357702451e-065.61631788512253e-07
1260.9999992843370971.43132580562749e-067.15662902813743e-07
1270.9999990115947121.97681057651431e-069.88405288257155e-07
1280.9999985400841382.91983172384654e-061.45991586192327e-06
1290.9999982260979033.54780419369153e-061.77390209684577e-06
1300.9999973368656255.32626875088236e-062.66313437544118e-06
1310.9999961622966447.6754067116346e-063.8377033558173e-06
1320.9999949653027731.00693944537914e-055.03469722689569e-06
1330.9999939400397361.21199205283088e-056.05996026415441e-06
1340.9999917815147671.6436970465371e-058.21848523268548e-06
1350.999996792704616.41459078036996e-063.20729539018498e-06
1360.9999972204354625.55912907653319e-062.7795645382666e-06
1370.999995788785088.42242983930553e-064.21121491965277e-06
1380.9999963473480937.30530381356873e-063.65265190678436e-06
1390.9999966127849996.7744300022969e-063.38721500114845e-06
1400.9999949497278871.01005442259146e-055.0502721129573e-06
1410.9999927197412381.45605175244384e-057.2802587622192e-06
1420.9999923903878451.52192243108503e-057.60961215542514e-06
1430.9999891300711222.17398577568348e-051.08699288784174e-05
1440.9999917181480831.65637038343631e-058.28185191718155e-06
1450.9999920239543751.59520912506815e-057.97604562534077e-06
1460.9999884246972612.31506054776167e-051.15753027388083e-05
1470.9999950206423819.95871523848765e-064.97935761924383e-06
1480.9999985607700222.87845995567667e-061.43922997783834e-06
1490.9999978642446754.27151065046937e-062.13575532523469e-06
1500.9999974312391375.13752172681938e-062.56876086340969e-06
1510.9999967315449586.53691008426651e-063.26845504213325e-06
1520.9999971446998055.71060039028508e-062.85530019514254e-06
1530.9999956770805158.64583896939015e-064.32291948469508e-06
1540.9999981942557913.61148841761043e-061.80574420880521e-06
1550.9999977054587264.5890825482957e-062.29454127414785e-06
1560.9999999101776881.7964462429445e-078.9822312147225e-08
1570.9999998581146522.83770696138502e-071.41885348069251e-07
1580.999999793844024.12311960761712e-072.06155980380856e-07
1590.9999997216893555.5662128937066e-072.7831064468533e-07
1600.9999996164785917.67042817437668e-073.83521408718834e-07
1610.9999994071518491.18569630106416e-065.92848150532081e-07
1620.999999996303117.39378058109286e-093.69689029054643e-09
1630.9999999947933591.04132815525039e-085.20664077625194e-09
1640.9999999966884416.62311796072293e-093.31155898036146e-09
1650.9999999966416626.7166763961917e-093.35833819809585e-09
1660.9999999964498897.10022217179143e-093.55011108589572e-09
1670.9999999962723437.4553143132678e-093.7276571566339e-09
1680.9999999993153971.36920533452018e-096.84602667260092e-10
1690.9999999991815731.63685416999887e-098.18427084999436e-10
1700.9999999999261241.47751054305694e-107.3875527152847e-11
1710.9999999998904582.19084127172454e-101.09542063586227e-10
1720.9999999998004883.99023270401209e-101.99511635200605e-10
1730.9999999997040365.91928970077398e-102.95964485038699e-10
1740.9999999997570724.85855563469679e-102.42927781734839e-10
1750.9999999999394481.21103890986754e-106.05519454933771e-11
1760.9999999999125731.74853345572454e-108.7426672786227e-11
1770.9999999999768044.63924123705369e-112.31962061852684e-11
1780.9999999999555258.89501028194626e-114.44750514097313e-11
1790.9999999999837543.24929771068762e-111.62464885534381e-11
1800.9999999999772054.55902554002229e-112.27951277001115e-11
1810.9999999999587988.24043856577338e-114.12021928288669e-11
1820.9999999999915191.69628925738381e-118.48144628691905e-12
1830.9999999999832093.35829413323308e-111.67914706661654e-11
1840.9999999999683856.32298630807672e-113.16149315403836e-11
1850.9999999999812323.75363649668467e-111.87681824834233e-11
1860.9999999999630077.39851827530515e-113.69925913765257e-11
1870.9999999999470131.05973086001085e-105.29865430005424e-11
1880.9999999998995382.00924445447303e-101.00462222723652e-10
1890.9999999998957492.08501753607847e-101.04250876803924e-10
1900.9999999998369963.26007550108223e-101.63003775054111e-10
1910.9999999998789622.4207593118149e-101.21037965590745e-10
1920.9999999997692684.6146317134057e-102.30731585670285e-10
1930.9999999996065967.86807642501468e-103.93403821250734e-10
1940.9999999994763931.04721479789655e-095.23607398948274e-10
1950.9999999990021021.99579626280562e-099.9789813140281e-10
1960.9999999985274372.94512528336035e-091.47256264168018e-09
1970.9999999976844254.63115065992487e-092.31557532996243e-09
1980.9999999995736098.52782496574301e-104.26391248287151e-10
1990.9999999995483289.03344773409966e-104.51672386704983e-10
2000.9999999993763751.24724978781052e-096.23624893905261e-10
2010.9999999989845372.03092553494201e-091.015462767471e-09
2020.9999999996045777.90845553742841e-103.9542277687142e-10
2030.9999999992895971.42080528846131e-097.10402644230656e-10
2040.9999999990301081.93978395471248e-099.6989197735624e-10
2050.9999999981869483.6261050580997e-091.81305252904985e-09
2060.9999999965084626.98307616498e-093.49153808249e-09
2070.9999999937712221.2457556213178e-086.22877810658898e-09
2080.9999999885527862.28944269597769e-081.14472134798884e-08
2090.999999984759543.0480920582403e-081.52404602912015e-08
2100.9999999895377542.09244924801853e-081.04622462400926e-08
2110.9999999875896822.4820636662233e-081.24103183311165e-08
2120.9999999781619134.36761737491379e-082.18380868745689e-08
2130.9999999585977288.28045450867886e-084.14022725433943e-08
2140.9999999260858681.47828264142241e-077.39141320711205e-08
2150.9999998981962282.03607544561198e-071.01803772280599e-07
2160.9999998872356212.25528758208257e-071.12764379104129e-07
2170.9999997878792564.24241487204511e-072.12120743602256e-07
2180.9999998529592232.94081553090526e-071.47040776545263e-07
2190.9999997748677894.50264422952521e-072.2513221147626e-07
2200.9999996917260286.16547943818454e-073.08273971909227e-07
2210.9999996531403456.93719310125495e-073.46859655062747e-07
2220.9999994862102291.02757954190078e-065.13789770950389e-07
2230.9999991944426131.61111477311704e-068.05557386558519e-07
2240.9999985551959212.8896081582824e-061.4448040791412e-06
2250.9999975161247234.96775055401405e-062.48387527700703e-06
2260.9999967363622086.52727558456978e-063.26363779228489e-06
2270.9999976454024384.70919512437939e-062.35459756218969e-06
2280.9999956538547598.69229048159106e-064.34614524079553e-06
2290.9999983534340333.29313193393541e-061.64656596696771e-06
2300.9999996679099736.64180053762509e-073.32090026881255e-07
2310.9999994190047241.16199055131652e-065.80995275658261e-07
2320.9999988605809212.27883815752435e-061.13941907876218e-06
2330.9999987827121782.43457564448031e-061.21728782224016e-06
2340.9999976379808164.72403836754166e-062.36201918377083e-06
2350.99999547632819.04734380040422e-064.52367190020211e-06
2360.999991294983941.7410032120006e-058.70501606000301e-06
2370.9999883161655132.33676689745001e-051.168383448725e-05
2380.9999793595338324.12809323360631e-052.06404661680316e-05
2390.9999622327914937.553441701472e-053.776720850736e-05
2400.9999312983885810.0001374032228383616.87016114191803e-05
2410.999890593986090.0002188120278203110.000109406013910156
2420.9998881087560530.0002237824878940130.000111891243947006
2430.9998099797553220.0003800404893554320.000190020244677716
2440.9996887523614260.0006224952771488870.000311247638574443
2450.9994462111112370.001107577777526820.000553788888763411
2460.9995259149372390.0009481701255222090.000474085062761105
2470.9995632912305390.000873417538921420.00043670876946071
2480.999253070969450.001493858061100150.000746929030550077
2490.998755296085320.002489407829360270.00124470391468014
2500.9995025956095030.0009948087809939130.000497404390496956
2510.9991183486805110.001763302638978780.000881651319489392
2520.9992584732554880.001483053489023020.000741526744511508
2530.9986696773729580.002660645254083780.00133032262704189
2540.9976964308912670.004607138217465710.00230356910873285
2550.9972996937993350.005400612401330850.00270030620066542
2560.9957248043036730.008550391392653760.00427519569632688
2570.9925019877383110.01499602452337840.00749801226168921
2580.9877541495576370.02449170088472620.0122458504423631
2590.9824797102439650.03504057951207010.017520289756035
2600.971293202542050.05741359491590010.0287067974579501
2610.9528017814571520.09439643708569540.0471982185428477
2620.9458958040794040.1082083918411920.0541041959205959
2630.9838117255211820.03237654895763680.0161882744788184
2640.970607471944430.0587850561111410.0293925280555705
2650.9469227554080340.1061544891839330.0530772445919664
2660.908183300075460.183633399849080.0918166999245398
2670.8489517667178240.3020964665643520.151048233282176
2680.9003320311135520.1993359377728960.0996679688864479
2690.8496615964656330.3006768070687340.150338403534367
2700.7983448653153680.4033102693692650.201655134684632
2710.7134599860028370.5730800279943260.286540013997163

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
18 & 0.218307392844881 & 0.436614785689763 & 0.781692607155119 \tabularnewline
19 & 0.164466316526115 & 0.32893263305223 & 0.835533683473885 \tabularnewline
20 & 0.082625110773833 & 0.165250221547666 & 0.917374889226167 \tabularnewline
21 & 0.417084718949476 & 0.834169437898952 & 0.582915281050524 \tabularnewline
22 & 0.377563053156568 & 0.755126106313136 & 0.622436946843432 \tabularnewline
23 & 0.276247363083657 & 0.552494726167314 & 0.723752636916343 \tabularnewline
24 & 0.194400925958133 & 0.388801851916267 & 0.805599074041867 \tabularnewline
25 & 0.150011485488692 & 0.300022970977384 & 0.849988514511308 \tabularnewline
26 & 0.101881917412824 & 0.203763834825648 & 0.898118082587176 \tabularnewline
27 & 0.0885333567385019 & 0.177066713477004 & 0.911466643261498 \tabularnewline
28 & 0.057449427030944 & 0.114898854061888 & 0.942550572969056 \tabularnewline
29 & 0.0396550181783237 & 0.0793100363566474 & 0.960344981821676 \tabularnewline
30 & 0.0304402287438287 & 0.0608804574876574 & 0.969559771256171 \tabularnewline
31 & 0.0510687255896896 & 0.102137451179379 & 0.94893127441031 \tabularnewline
32 & 0.0364578683438013 & 0.0729157366876027 & 0.963542131656199 \tabularnewline
33 & 0.0240755431961449 & 0.0481510863922899 & 0.975924456803855 \tabularnewline
34 & 0.0166690026285394 & 0.0333380052570788 & 0.983330997371461 \tabularnewline
35 & 0.0278742736991372 & 0.0557485473982744 & 0.972125726300863 \tabularnewline
36 & 0.0327870343859942 & 0.0655740687719883 & 0.967212965614006 \tabularnewline
37 & 0.0272719799475315 & 0.0545439598950629 & 0.972728020052469 \tabularnewline
38 & 0.0198628583473453 & 0.0397257166946907 & 0.980137141652655 \tabularnewline
39 & 0.0145250395307254 & 0.0290500790614508 & 0.985474960469275 \tabularnewline
40 & 0.0214847246186385 & 0.042969449237277 & 0.978515275381362 \tabularnewline
41 & 0.0170808165808827 & 0.0341616331617653 & 0.982919183419117 \tabularnewline
42 & 0.0130454457588611 & 0.0260908915177222 & 0.986954554241139 \tabularnewline
43 & 0.00894867130465506 & 0.0178973426093101 & 0.991051328695345 \tabularnewline
44 & 0.00712076594876202 & 0.014241531897524 & 0.992879234051238 \tabularnewline
45 & 0.0244922555753774 & 0.0489845111507548 & 0.975507744424623 \tabularnewline
46 & 0.0189430927020125 & 0.0378861854040249 & 0.981056907297988 \tabularnewline
47 & 0.0140520407429816 & 0.0281040814859631 & 0.985947959257018 \tabularnewline
48 & 0.0106823647524676 & 0.0213647295049352 & 0.989317635247532 \tabularnewline
49 & 0.00743110467053288 & 0.0148622093410658 & 0.992568895329467 \tabularnewline
50 & 0.0105117170604215 & 0.0210234341208431 & 0.989488282939578 \tabularnewline
51 & 0.0157048041853102 & 0.0314096083706205 & 0.98429519581469 \tabularnewline
52 & 0.0134525238706055 & 0.026905047741211 & 0.986547476129395 \tabularnewline
53 & 0.00950837723975336 & 0.0190167544795067 & 0.990491622760247 \tabularnewline
54 & 0.0109707902427197 & 0.0219415804854394 & 0.98902920975728 \tabularnewline
55 & 0.0114017480636583 & 0.0228034961273166 & 0.988598251936342 \tabularnewline
56 & 0.00861462418917495 & 0.0172292483783499 & 0.991385375810825 \tabularnewline
57 & 0.00620164902770762 & 0.0124032980554152 & 0.993798350972292 \tabularnewline
58 & 0.00612557028320716 & 0.0122511405664143 & 0.993874429716793 \tabularnewline
59 & 0.0042628530794105 & 0.00852570615882101 & 0.995737146920589 \tabularnewline
60 & 0.00299412660287274 & 0.00598825320574548 & 0.997005873397127 \tabularnewline
61 & 0.00211391200721589 & 0.00422782401443178 & 0.997886087992784 \tabularnewline
62 & 0.00246359296717567 & 0.00492718593435133 & 0.997536407032824 \tabularnewline
63 & 0.00251117176753254 & 0.00502234353506507 & 0.997488828232467 \tabularnewline
64 & 0.00181933727934533 & 0.00363867455869065 & 0.998180662720655 \tabularnewline
65 & 0.00537645283984795 & 0.0107529056796959 & 0.994623547160152 \tabularnewline
66 & 0.00512848527066263 & 0.0102569705413253 & 0.994871514729337 \tabularnewline
67 & 0.0037687376234979 & 0.0075374752469958 & 0.996231262376502 \tabularnewline
68 & 0.003005885396461 & 0.006011770792922 & 0.996994114603539 \tabularnewline
69 & 0.00209401291174766 & 0.00418802582349532 & 0.997905987088252 \tabularnewline
70 & 0.00202108910515869 & 0.00404217821031739 & 0.997978910894841 \tabularnewline
71 & 0.00153049143847452 & 0.00306098287694903 & 0.998469508561525 \tabularnewline
72 & 0.00107013571181073 & 0.00214027142362146 & 0.998929864288189 \tabularnewline
73 & 0.000956674332144828 & 0.00191334866428966 & 0.999043325667855 \tabularnewline
74 & 0.00175637710397221 & 0.00351275420794442 & 0.998243622896028 \tabularnewline
75 & 0.00340937120271307 & 0.00681874240542614 & 0.996590628797287 \tabularnewline
76 & 0.00326490128600479 & 0.00652980257200958 & 0.996735098713995 \tabularnewline
77 & 0.0027752955385465 & 0.00555059107709299 & 0.997224704461454 \tabularnewline
78 & 0.00430047975306181 & 0.00860095950612363 & 0.995699520246938 \tabularnewline
79 & 0.0038030060866417 & 0.0076060121732834 & 0.996196993913358 \tabularnewline
80 & 0.0037039998715602 & 0.00740799974312041 & 0.99629600012844 \tabularnewline
81 & 0.00298309637464103 & 0.00596619274928206 & 0.997016903625359 \tabularnewline
82 & 0.00219746155574261 & 0.00439492311148521 & 0.997802538444257 \tabularnewline
83 & 0.00175316716734987 & 0.00350633433469975 & 0.99824683283265 \tabularnewline
84 & 0.00129193063383084 & 0.00258386126766169 & 0.998708069366169 \tabularnewline
85 & 0.973903318268122 & 0.0521933634637567 & 0.0260966817318784 \tabularnewline
86 & 0.968717066190081 & 0.0625658676198375 & 0.0312829338099188 \tabularnewline
87 & 0.962462788107431 & 0.0750744237851387 & 0.0375372118925694 \tabularnewline
88 & 0.955093298054807 & 0.0898134038903855 & 0.0449067019451927 \tabularnewline
89 & 0.955990349646893 & 0.0880193007062143 & 0.0440096503531071 \tabularnewline
90 & 0.961009049631001 & 0.0779819007379973 & 0.0389909503689986 \tabularnewline
91 & 0.95736755934993 & 0.0852648813001405 & 0.0426324406500703 \tabularnewline
92 & 0.956893970854445 & 0.0862120582911096 & 0.0431060291455548 \tabularnewline
93 & 0.949122597457938 & 0.101754805084124 & 0.050877402542062 \tabularnewline
94 & 0.939281037077498 & 0.121437925845004 & 0.0607189629225018 \tabularnewline
95 & 0.935826093286695 & 0.12834781342661 & 0.0641739067133052 \tabularnewline
96 & 0.935091849128378 & 0.129816301743245 & 0.0649081508716223 \tabularnewline
97 & 0.940652559765254 & 0.118694880469493 & 0.0593474402347464 \tabularnewline
98 & 0.954448968847869 & 0.0911020623042627 & 0.0455510311521314 \tabularnewline
99 & 0.951136021722361 & 0.0977279565552778 & 0.0488639782776389 \tabularnewline
100 & 0.942761279502098 & 0.114477440995804 & 0.057238720497902 \tabularnewline
101 & 0.935565156412149 & 0.128869687175702 & 0.0644348435878511 \tabularnewline
102 & 0.926471639263307 & 0.147056721473386 & 0.0735283607366931 \tabularnewline
103 & 0.919473691147612 & 0.161052617704776 & 0.0805263088523881 \tabularnewline
104 & 0.944829690672247 & 0.110340618655506 & 0.0551703093277528 \tabularnewline
105 & 0.949000473814453 & 0.101999052371095 & 0.0509995261855474 \tabularnewline
106 & 0.963836658252873 & 0.0723266834942544 & 0.0361633417471272 \tabularnewline
107 & 0.977780891080125 & 0.0444382178397508 & 0.0222191089198754 \tabularnewline
108 & 0.972674209527347 & 0.0546515809453061 & 0.0273257904726531 \tabularnewline
109 & 0.968991535471596 & 0.0620169290568082 & 0.0310084645284041 \tabularnewline
110 & 0.964067592771031 & 0.0718648144579373 & 0.0359324072289687 \tabularnewline
111 & 0.96114379785245 & 0.0777124042951007 & 0.0388562021475503 \tabularnewline
112 & 0.958118705180934 & 0.0837625896381315 & 0.0418812948190657 \tabularnewline
113 & 0.950064388888512 & 0.0998712222229756 & 0.0499356111114878 \tabularnewline
114 & 0.951413774938881 & 0.0971724501222375 & 0.0485862250611188 \tabularnewline
115 & 0.947139137677346 & 0.105721724645309 & 0.0528608623226544 \tabularnewline
116 & 0.937431884636421 & 0.125136230727159 & 0.0625681153635795 \tabularnewline
117 & 0.926044146534828 & 0.147911706930344 & 0.073955853465172 \tabularnewline
118 & 0.913711822297792 & 0.172576355404416 & 0.0862881777022078 \tabularnewline
119 & 0.999711729798067 & 0.000576540403865308 & 0.000288270201932654 \tabularnewline
120 & 0.999606270358579 & 0.000787459282843052 & 0.000393729641421526 \tabularnewline
121 & 0.99949709562647 & 0.00100580874705978 & 0.000502904373529889 \tabularnewline
122 & 0.999424843210717 & 0.00115031357856679 & 0.000575156789283393 \tabularnewline
123 & 0.999400038763301 & 0.00119992247339756 & 0.000599961236698781 \tabularnewline
124 & 0.999999421854854 & 1.15629029293967e-06 & 5.78145146469837e-07 \tabularnewline
125 & 0.999999438368211 & 1.12326357702451e-06 & 5.61631788512253e-07 \tabularnewline
126 & 0.999999284337097 & 1.43132580562749e-06 & 7.15662902813743e-07 \tabularnewline
127 & 0.999999011594712 & 1.97681057651431e-06 & 9.88405288257155e-07 \tabularnewline
128 & 0.999998540084138 & 2.91983172384654e-06 & 1.45991586192327e-06 \tabularnewline
129 & 0.999998226097903 & 3.54780419369153e-06 & 1.77390209684577e-06 \tabularnewline
130 & 0.999997336865625 & 5.32626875088236e-06 & 2.66313437544118e-06 \tabularnewline
131 & 0.999996162296644 & 7.6754067116346e-06 & 3.8377033558173e-06 \tabularnewline
132 & 0.999994965302773 & 1.00693944537914e-05 & 5.03469722689569e-06 \tabularnewline
133 & 0.999993940039736 & 1.21199205283088e-05 & 6.05996026415441e-06 \tabularnewline
134 & 0.999991781514767 & 1.6436970465371e-05 & 8.21848523268548e-06 \tabularnewline
135 & 0.99999679270461 & 6.41459078036996e-06 & 3.20729539018498e-06 \tabularnewline
136 & 0.999997220435462 & 5.55912907653319e-06 & 2.7795645382666e-06 \tabularnewline
137 & 0.99999578878508 & 8.42242983930553e-06 & 4.21121491965277e-06 \tabularnewline
138 & 0.999996347348093 & 7.30530381356873e-06 & 3.65265190678436e-06 \tabularnewline
139 & 0.999996612784999 & 6.7744300022969e-06 & 3.38721500114845e-06 \tabularnewline
140 & 0.999994949727887 & 1.01005442259146e-05 & 5.0502721129573e-06 \tabularnewline
141 & 0.999992719741238 & 1.45605175244384e-05 & 7.2802587622192e-06 \tabularnewline
142 & 0.999992390387845 & 1.52192243108503e-05 & 7.60961215542514e-06 \tabularnewline
143 & 0.999989130071122 & 2.17398577568348e-05 & 1.08699288784174e-05 \tabularnewline
144 & 0.999991718148083 & 1.65637038343631e-05 & 8.28185191718155e-06 \tabularnewline
145 & 0.999992023954375 & 1.59520912506815e-05 & 7.97604562534077e-06 \tabularnewline
146 & 0.999988424697261 & 2.31506054776167e-05 & 1.15753027388083e-05 \tabularnewline
147 & 0.999995020642381 & 9.95871523848765e-06 & 4.97935761924383e-06 \tabularnewline
148 & 0.999998560770022 & 2.87845995567667e-06 & 1.43922997783834e-06 \tabularnewline
149 & 0.999997864244675 & 4.27151065046937e-06 & 2.13575532523469e-06 \tabularnewline
150 & 0.999997431239137 & 5.13752172681938e-06 & 2.56876086340969e-06 \tabularnewline
151 & 0.999996731544958 & 6.53691008426651e-06 & 3.26845504213325e-06 \tabularnewline
152 & 0.999997144699805 & 5.71060039028508e-06 & 2.85530019514254e-06 \tabularnewline
153 & 0.999995677080515 & 8.64583896939015e-06 & 4.32291948469508e-06 \tabularnewline
154 & 0.999998194255791 & 3.61148841761043e-06 & 1.80574420880521e-06 \tabularnewline
155 & 0.999997705458726 & 4.5890825482957e-06 & 2.29454127414785e-06 \tabularnewline
156 & 0.999999910177688 & 1.7964462429445e-07 & 8.9822312147225e-08 \tabularnewline
157 & 0.999999858114652 & 2.83770696138502e-07 & 1.41885348069251e-07 \tabularnewline
158 & 0.99999979384402 & 4.12311960761712e-07 & 2.06155980380856e-07 \tabularnewline
159 & 0.999999721689355 & 5.5662128937066e-07 & 2.7831064468533e-07 \tabularnewline
160 & 0.999999616478591 & 7.67042817437668e-07 & 3.83521408718834e-07 \tabularnewline
161 & 0.999999407151849 & 1.18569630106416e-06 & 5.92848150532081e-07 \tabularnewline
162 & 0.99999999630311 & 7.39378058109286e-09 & 3.69689029054643e-09 \tabularnewline
163 & 0.999999994793359 & 1.04132815525039e-08 & 5.20664077625194e-09 \tabularnewline
164 & 0.999999996688441 & 6.62311796072293e-09 & 3.31155898036146e-09 \tabularnewline
165 & 0.999999996641662 & 6.7166763961917e-09 & 3.35833819809585e-09 \tabularnewline
166 & 0.999999996449889 & 7.10022217179143e-09 & 3.55011108589572e-09 \tabularnewline
167 & 0.999999996272343 & 7.4553143132678e-09 & 3.7276571566339e-09 \tabularnewline
168 & 0.999999999315397 & 1.36920533452018e-09 & 6.84602667260092e-10 \tabularnewline
169 & 0.999999999181573 & 1.63685416999887e-09 & 8.18427084999436e-10 \tabularnewline
170 & 0.999999999926124 & 1.47751054305694e-10 & 7.3875527152847e-11 \tabularnewline
171 & 0.999999999890458 & 2.19084127172454e-10 & 1.09542063586227e-10 \tabularnewline
172 & 0.999999999800488 & 3.99023270401209e-10 & 1.99511635200605e-10 \tabularnewline
173 & 0.999999999704036 & 5.91928970077398e-10 & 2.95964485038699e-10 \tabularnewline
174 & 0.999999999757072 & 4.85855563469679e-10 & 2.42927781734839e-10 \tabularnewline
175 & 0.999999999939448 & 1.21103890986754e-10 & 6.05519454933771e-11 \tabularnewline
176 & 0.999999999912573 & 1.74853345572454e-10 & 8.7426672786227e-11 \tabularnewline
177 & 0.999999999976804 & 4.63924123705369e-11 & 2.31962061852684e-11 \tabularnewline
178 & 0.999999999955525 & 8.89501028194626e-11 & 4.44750514097313e-11 \tabularnewline
179 & 0.999999999983754 & 3.24929771068762e-11 & 1.62464885534381e-11 \tabularnewline
180 & 0.999999999977205 & 4.55902554002229e-11 & 2.27951277001115e-11 \tabularnewline
181 & 0.999999999958798 & 8.24043856577338e-11 & 4.12021928288669e-11 \tabularnewline
182 & 0.999999999991519 & 1.69628925738381e-11 & 8.48144628691905e-12 \tabularnewline
183 & 0.999999999983209 & 3.35829413323308e-11 & 1.67914706661654e-11 \tabularnewline
184 & 0.999999999968385 & 6.32298630807672e-11 & 3.16149315403836e-11 \tabularnewline
185 & 0.999999999981232 & 3.75363649668467e-11 & 1.87681824834233e-11 \tabularnewline
186 & 0.999999999963007 & 7.39851827530515e-11 & 3.69925913765257e-11 \tabularnewline
187 & 0.999999999947013 & 1.05973086001085e-10 & 5.29865430005424e-11 \tabularnewline
188 & 0.999999999899538 & 2.00924445447303e-10 & 1.00462222723652e-10 \tabularnewline
189 & 0.999999999895749 & 2.08501753607847e-10 & 1.04250876803924e-10 \tabularnewline
190 & 0.999999999836996 & 3.26007550108223e-10 & 1.63003775054111e-10 \tabularnewline
191 & 0.999999999878962 & 2.4207593118149e-10 & 1.21037965590745e-10 \tabularnewline
192 & 0.999999999769268 & 4.6146317134057e-10 & 2.30731585670285e-10 \tabularnewline
193 & 0.999999999606596 & 7.86807642501468e-10 & 3.93403821250734e-10 \tabularnewline
194 & 0.999999999476393 & 1.04721479789655e-09 & 5.23607398948274e-10 \tabularnewline
195 & 0.999999999002102 & 1.99579626280562e-09 & 9.9789813140281e-10 \tabularnewline
196 & 0.999999998527437 & 2.94512528336035e-09 & 1.47256264168018e-09 \tabularnewline
197 & 0.999999997684425 & 4.63115065992487e-09 & 2.31557532996243e-09 \tabularnewline
198 & 0.999999999573609 & 8.52782496574301e-10 & 4.26391248287151e-10 \tabularnewline
199 & 0.999999999548328 & 9.03344773409966e-10 & 4.51672386704983e-10 \tabularnewline
200 & 0.999999999376375 & 1.24724978781052e-09 & 6.23624893905261e-10 \tabularnewline
201 & 0.999999998984537 & 2.03092553494201e-09 & 1.015462767471e-09 \tabularnewline
202 & 0.999999999604577 & 7.90845553742841e-10 & 3.9542277687142e-10 \tabularnewline
203 & 0.999999999289597 & 1.42080528846131e-09 & 7.10402644230656e-10 \tabularnewline
204 & 0.999999999030108 & 1.93978395471248e-09 & 9.6989197735624e-10 \tabularnewline
205 & 0.999999998186948 & 3.6261050580997e-09 & 1.81305252904985e-09 \tabularnewline
206 & 0.999999996508462 & 6.98307616498e-09 & 3.49153808249e-09 \tabularnewline
207 & 0.999999993771222 & 1.2457556213178e-08 & 6.22877810658898e-09 \tabularnewline
208 & 0.999999988552786 & 2.28944269597769e-08 & 1.14472134798884e-08 \tabularnewline
209 & 0.99999998475954 & 3.0480920582403e-08 & 1.52404602912015e-08 \tabularnewline
210 & 0.999999989537754 & 2.09244924801853e-08 & 1.04622462400926e-08 \tabularnewline
211 & 0.999999987589682 & 2.4820636662233e-08 & 1.24103183311165e-08 \tabularnewline
212 & 0.999999978161913 & 4.36761737491379e-08 & 2.18380868745689e-08 \tabularnewline
213 & 0.999999958597728 & 8.28045450867886e-08 & 4.14022725433943e-08 \tabularnewline
214 & 0.999999926085868 & 1.47828264142241e-07 & 7.39141320711205e-08 \tabularnewline
215 & 0.999999898196228 & 2.03607544561198e-07 & 1.01803772280599e-07 \tabularnewline
216 & 0.999999887235621 & 2.25528758208257e-07 & 1.12764379104129e-07 \tabularnewline
217 & 0.999999787879256 & 4.24241487204511e-07 & 2.12120743602256e-07 \tabularnewline
218 & 0.999999852959223 & 2.94081553090526e-07 & 1.47040776545263e-07 \tabularnewline
219 & 0.999999774867789 & 4.50264422952521e-07 & 2.2513221147626e-07 \tabularnewline
220 & 0.999999691726028 & 6.16547943818454e-07 & 3.08273971909227e-07 \tabularnewline
221 & 0.999999653140345 & 6.93719310125495e-07 & 3.46859655062747e-07 \tabularnewline
222 & 0.999999486210229 & 1.02757954190078e-06 & 5.13789770950389e-07 \tabularnewline
223 & 0.999999194442613 & 1.61111477311704e-06 & 8.05557386558519e-07 \tabularnewline
224 & 0.999998555195921 & 2.8896081582824e-06 & 1.4448040791412e-06 \tabularnewline
225 & 0.999997516124723 & 4.96775055401405e-06 & 2.48387527700703e-06 \tabularnewline
226 & 0.999996736362208 & 6.52727558456978e-06 & 3.26363779228489e-06 \tabularnewline
227 & 0.999997645402438 & 4.70919512437939e-06 & 2.35459756218969e-06 \tabularnewline
228 & 0.999995653854759 & 8.69229048159106e-06 & 4.34614524079553e-06 \tabularnewline
229 & 0.999998353434033 & 3.29313193393541e-06 & 1.64656596696771e-06 \tabularnewline
230 & 0.999999667909973 & 6.64180053762509e-07 & 3.32090026881255e-07 \tabularnewline
231 & 0.999999419004724 & 1.16199055131652e-06 & 5.80995275658261e-07 \tabularnewline
232 & 0.999998860580921 & 2.27883815752435e-06 & 1.13941907876218e-06 \tabularnewline
233 & 0.999998782712178 & 2.43457564448031e-06 & 1.21728782224016e-06 \tabularnewline
234 & 0.999997637980816 & 4.72403836754166e-06 & 2.36201918377083e-06 \tabularnewline
235 & 0.9999954763281 & 9.04734380040422e-06 & 4.52367190020211e-06 \tabularnewline
236 & 0.99999129498394 & 1.7410032120006e-05 & 8.70501606000301e-06 \tabularnewline
237 & 0.999988316165513 & 2.33676689745001e-05 & 1.168383448725e-05 \tabularnewline
238 & 0.999979359533832 & 4.12809323360631e-05 & 2.06404661680316e-05 \tabularnewline
239 & 0.999962232791493 & 7.553441701472e-05 & 3.776720850736e-05 \tabularnewline
240 & 0.999931298388581 & 0.000137403222838361 & 6.87016114191803e-05 \tabularnewline
241 & 0.99989059398609 & 0.000218812027820311 & 0.000109406013910156 \tabularnewline
242 & 0.999888108756053 & 0.000223782487894013 & 0.000111891243947006 \tabularnewline
243 & 0.999809979755322 & 0.000380040489355432 & 0.000190020244677716 \tabularnewline
244 & 0.999688752361426 & 0.000622495277148887 & 0.000311247638574443 \tabularnewline
245 & 0.999446211111237 & 0.00110757777752682 & 0.000553788888763411 \tabularnewline
246 & 0.999525914937239 & 0.000948170125522209 & 0.000474085062761105 \tabularnewline
247 & 0.999563291230539 & 0.00087341753892142 & 0.00043670876946071 \tabularnewline
248 & 0.99925307096945 & 0.00149385806110015 & 0.000746929030550077 \tabularnewline
249 & 0.99875529608532 & 0.00248940782936027 & 0.00124470391468014 \tabularnewline
250 & 0.999502595609503 & 0.000994808780993913 & 0.000497404390496956 \tabularnewline
251 & 0.999118348680511 & 0.00176330263897878 & 0.000881651319489392 \tabularnewline
252 & 0.999258473255488 & 0.00148305348902302 & 0.000741526744511508 \tabularnewline
253 & 0.998669677372958 & 0.00266064525408378 & 0.00133032262704189 \tabularnewline
254 & 0.997696430891267 & 0.00460713821746571 & 0.00230356910873285 \tabularnewline
255 & 0.997299693799335 & 0.00540061240133085 & 0.00270030620066542 \tabularnewline
256 & 0.995724804303673 & 0.00855039139265376 & 0.00427519569632688 \tabularnewline
257 & 0.992501987738311 & 0.0149960245233784 & 0.00749801226168921 \tabularnewline
258 & 0.987754149557637 & 0.0244917008847262 & 0.0122458504423631 \tabularnewline
259 & 0.982479710243965 & 0.0350405795120701 & 0.017520289756035 \tabularnewline
260 & 0.97129320254205 & 0.0574135949159001 & 0.0287067974579501 \tabularnewline
261 & 0.952801781457152 & 0.0943964370856954 & 0.0471982185428477 \tabularnewline
262 & 0.945895804079404 & 0.108208391841192 & 0.0541041959205959 \tabularnewline
263 & 0.983811725521182 & 0.0323765489576368 & 0.0161882744788184 \tabularnewline
264 & 0.97060747194443 & 0.058785056111141 & 0.0293925280555705 \tabularnewline
265 & 0.946922755408034 & 0.106154489183933 & 0.0530772445919664 \tabularnewline
266 & 0.90818330007546 & 0.18363339984908 & 0.0918166999245398 \tabularnewline
267 & 0.848951766717824 & 0.302096466564352 & 0.151048233282176 \tabularnewline
268 & 0.900332031113552 & 0.199335937772896 & 0.0996679688864479 \tabularnewline
269 & 0.849661596465633 & 0.300676807068734 & 0.150338403534367 \tabularnewline
270 & 0.798344865315368 & 0.403310269369265 & 0.201655134684632 \tabularnewline
271 & 0.713459986002837 & 0.573080027994326 & 0.286540013997163 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154300&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]0.218307392844881[/C][C]0.436614785689763[/C][C]0.781692607155119[/C][/ROW]
[ROW][C]19[/C][C]0.164466316526115[/C][C]0.32893263305223[/C][C]0.835533683473885[/C][/ROW]
[ROW][C]20[/C][C]0.082625110773833[/C][C]0.165250221547666[/C][C]0.917374889226167[/C][/ROW]
[ROW][C]21[/C][C]0.417084718949476[/C][C]0.834169437898952[/C][C]0.582915281050524[/C][/ROW]
[ROW][C]22[/C][C]0.377563053156568[/C][C]0.755126106313136[/C][C]0.622436946843432[/C][/ROW]
[ROW][C]23[/C][C]0.276247363083657[/C][C]0.552494726167314[/C][C]0.723752636916343[/C][/ROW]
[ROW][C]24[/C][C]0.194400925958133[/C][C]0.388801851916267[/C][C]0.805599074041867[/C][/ROW]
[ROW][C]25[/C][C]0.150011485488692[/C][C]0.300022970977384[/C][C]0.849988514511308[/C][/ROW]
[ROW][C]26[/C][C]0.101881917412824[/C][C]0.203763834825648[/C][C]0.898118082587176[/C][/ROW]
[ROW][C]27[/C][C]0.0885333567385019[/C][C]0.177066713477004[/C][C]0.911466643261498[/C][/ROW]
[ROW][C]28[/C][C]0.057449427030944[/C][C]0.114898854061888[/C][C]0.942550572969056[/C][/ROW]
[ROW][C]29[/C][C]0.0396550181783237[/C][C]0.0793100363566474[/C][C]0.960344981821676[/C][/ROW]
[ROW][C]30[/C][C]0.0304402287438287[/C][C]0.0608804574876574[/C][C]0.969559771256171[/C][/ROW]
[ROW][C]31[/C][C]0.0510687255896896[/C][C]0.102137451179379[/C][C]0.94893127441031[/C][/ROW]
[ROW][C]32[/C][C]0.0364578683438013[/C][C]0.0729157366876027[/C][C]0.963542131656199[/C][/ROW]
[ROW][C]33[/C][C]0.0240755431961449[/C][C]0.0481510863922899[/C][C]0.975924456803855[/C][/ROW]
[ROW][C]34[/C][C]0.0166690026285394[/C][C]0.0333380052570788[/C][C]0.983330997371461[/C][/ROW]
[ROW][C]35[/C][C]0.0278742736991372[/C][C]0.0557485473982744[/C][C]0.972125726300863[/C][/ROW]
[ROW][C]36[/C][C]0.0327870343859942[/C][C]0.0655740687719883[/C][C]0.967212965614006[/C][/ROW]
[ROW][C]37[/C][C]0.0272719799475315[/C][C]0.0545439598950629[/C][C]0.972728020052469[/C][/ROW]
[ROW][C]38[/C][C]0.0198628583473453[/C][C]0.0397257166946907[/C][C]0.980137141652655[/C][/ROW]
[ROW][C]39[/C][C]0.0145250395307254[/C][C]0.0290500790614508[/C][C]0.985474960469275[/C][/ROW]
[ROW][C]40[/C][C]0.0214847246186385[/C][C]0.042969449237277[/C][C]0.978515275381362[/C][/ROW]
[ROW][C]41[/C][C]0.0170808165808827[/C][C]0.0341616331617653[/C][C]0.982919183419117[/C][/ROW]
[ROW][C]42[/C][C]0.0130454457588611[/C][C]0.0260908915177222[/C][C]0.986954554241139[/C][/ROW]
[ROW][C]43[/C][C]0.00894867130465506[/C][C]0.0178973426093101[/C][C]0.991051328695345[/C][/ROW]
[ROW][C]44[/C][C]0.00712076594876202[/C][C]0.014241531897524[/C][C]0.992879234051238[/C][/ROW]
[ROW][C]45[/C][C]0.0244922555753774[/C][C]0.0489845111507548[/C][C]0.975507744424623[/C][/ROW]
[ROW][C]46[/C][C]0.0189430927020125[/C][C]0.0378861854040249[/C][C]0.981056907297988[/C][/ROW]
[ROW][C]47[/C][C]0.0140520407429816[/C][C]0.0281040814859631[/C][C]0.985947959257018[/C][/ROW]
[ROW][C]48[/C][C]0.0106823647524676[/C][C]0.0213647295049352[/C][C]0.989317635247532[/C][/ROW]
[ROW][C]49[/C][C]0.00743110467053288[/C][C]0.0148622093410658[/C][C]0.992568895329467[/C][/ROW]
[ROW][C]50[/C][C]0.0105117170604215[/C][C]0.0210234341208431[/C][C]0.989488282939578[/C][/ROW]
[ROW][C]51[/C][C]0.0157048041853102[/C][C]0.0314096083706205[/C][C]0.98429519581469[/C][/ROW]
[ROW][C]52[/C][C]0.0134525238706055[/C][C]0.026905047741211[/C][C]0.986547476129395[/C][/ROW]
[ROW][C]53[/C][C]0.00950837723975336[/C][C]0.0190167544795067[/C][C]0.990491622760247[/C][/ROW]
[ROW][C]54[/C][C]0.0109707902427197[/C][C]0.0219415804854394[/C][C]0.98902920975728[/C][/ROW]
[ROW][C]55[/C][C]0.0114017480636583[/C][C]0.0228034961273166[/C][C]0.988598251936342[/C][/ROW]
[ROW][C]56[/C][C]0.00861462418917495[/C][C]0.0172292483783499[/C][C]0.991385375810825[/C][/ROW]
[ROW][C]57[/C][C]0.00620164902770762[/C][C]0.0124032980554152[/C][C]0.993798350972292[/C][/ROW]
[ROW][C]58[/C][C]0.00612557028320716[/C][C]0.0122511405664143[/C][C]0.993874429716793[/C][/ROW]
[ROW][C]59[/C][C]0.0042628530794105[/C][C]0.00852570615882101[/C][C]0.995737146920589[/C][/ROW]
[ROW][C]60[/C][C]0.00299412660287274[/C][C]0.00598825320574548[/C][C]0.997005873397127[/C][/ROW]
[ROW][C]61[/C][C]0.00211391200721589[/C][C]0.00422782401443178[/C][C]0.997886087992784[/C][/ROW]
[ROW][C]62[/C][C]0.00246359296717567[/C][C]0.00492718593435133[/C][C]0.997536407032824[/C][/ROW]
[ROW][C]63[/C][C]0.00251117176753254[/C][C]0.00502234353506507[/C][C]0.997488828232467[/C][/ROW]
[ROW][C]64[/C][C]0.00181933727934533[/C][C]0.00363867455869065[/C][C]0.998180662720655[/C][/ROW]
[ROW][C]65[/C][C]0.00537645283984795[/C][C]0.0107529056796959[/C][C]0.994623547160152[/C][/ROW]
[ROW][C]66[/C][C]0.00512848527066263[/C][C]0.0102569705413253[/C][C]0.994871514729337[/C][/ROW]
[ROW][C]67[/C][C]0.0037687376234979[/C][C]0.0075374752469958[/C][C]0.996231262376502[/C][/ROW]
[ROW][C]68[/C][C]0.003005885396461[/C][C]0.006011770792922[/C][C]0.996994114603539[/C][/ROW]
[ROW][C]69[/C][C]0.00209401291174766[/C][C]0.00418802582349532[/C][C]0.997905987088252[/C][/ROW]
[ROW][C]70[/C][C]0.00202108910515869[/C][C]0.00404217821031739[/C][C]0.997978910894841[/C][/ROW]
[ROW][C]71[/C][C]0.00153049143847452[/C][C]0.00306098287694903[/C][C]0.998469508561525[/C][/ROW]
[ROW][C]72[/C][C]0.00107013571181073[/C][C]0.00214027142362146[/C][C]0.998929864288189[/C][/ROW]
[ROW][C]73[/C][C]0.000956674332144828[/C][C]0.00191334866428966[/C][C]0.999043325667855[/C][/ROW]
[ROW][C]74[/C][C]0.00175637710397221[/C][C]0.00351275420794442[/C][C]0.998243622896028[/C][/ROW]
[ROW][C]75[/C][C]0.00340937120271307[/C][C]0.00681874240542614[/C][C]0.996590628797287[/C][/ROW]
[ROW][C]76[/C][C]0.00326490128600479[/C][C]0.00652980257200958[/C][C]0.996735098713995[/C][/ROW]
[ROW][C]77[/C][C]0.0027752955385465[/C][C]0.00555059107709299[/C][C]0.997224704461454[/C][/ROW]
[ROW][C]78[/C][C]0.00430047975306181[/C][C]0.00860095950612363[/C][C]0.995699520246938[/C][/ROW]
[ROW][C]79[/C][C]0.0038030060866417[/C][C]0.0076060121732834[/C][C]0.996196993913358[/C][/ROW]
[ROW][C]80[/C][C]0.0037039998715602[/C][C]0.00740799974312041[/C][C]0.99629600012844[/C][/ROW]
[ROW][C]81[/C][C]0.00298309637464103[/C][C]0.00596619274928206[/C][C]0.997016903625359[/C][/ROW]
[ROW][C]82[/C][C]0.00219746155574261[/C][C]0.00439492311148521[/C][C]0.997802538444257[/C][/ROW]
[ROW][C]83[/C][C]0.00175316716734987[/C][C]0.00350633433469975[/C][C]0.99824683283265[/C][/ROW]
[ROW][C]84[/C][C]0.00129193063383084[/C][C]0.00258386126766169[/C][C]0.998708069366169[/C][/ROW]
[ROW][C]85[/C][C]0.973903318268122[/C][C]0.0521933634637567[/C][C]0.0260966817318784[/C][/ROW]
[ROW][C]86[/C][C]0.968717066190081[/C][C]0.0625658676198375[/C][C]0.0312829338099188[/C][/ROW]
[ROW][C]87[/C][C]0.962462788107431[/C][C]0.0750744237851387[/C][C]0.0375372118925694[/C][/ROW]
[ROW][C]88[/C][C]0.955093298054807[/C][C]0.0898134038903855[/C][C]0.0449067019451927[/C][/ROW]
[ROW][C]89[/C][C]0.955990349646893[/C][C]0.0880193007062143[/C][C]0.0440096503531071[/C][/ROW]
[ROW][C]90[/C][C]0.961009049631001[/C][C]0.0779819007379973[/C][C]0.0389909503689986[/C][/ROW]
[ROW][C]91[/C][C]0.95736755934993[/C][C]0.0852648813001405[/C][C]0.0426324406500703[/C][/ROW]
[ROW][C]92[/C][C]0.956893970854445[/C][C]0.0862120582911096[/C][C]0.0431060291455548[/C][/ROW]
[ROW][C]93[/C][C]0.949122597457938[/C][C]0.101754805084124[/C][C]0.050877402542062[/C][/ROW]
[ROW][C]94[/C][C]0.939281037077498[/C][C]0.121437925845004[/C][C]0.0607189629225018[/C][/ROW]
[ROW][C]95[/C][C]0.935826093286695[/C][C]0.12834781342661[/C][C]0.0641739067133052[/C][/ROW]
[ROW][C]96[/C][C]0.935091849128378[/C][C]0.129816301743245[/C][C]0.0649081508716223[/C][/ROW]
[ROW][C]97[/C][C]0.940652559765254[/C][C]0.118694880469493[/C][C]0.0593474402347464[/C][/ROW]
[ROW][C]98[/C][C]0.954448968847869[/C][C]0.0911020623042627[/C][C]0.0455510311521314[/C][/ROW]
[ROW][C]99[/C][C]0.951136021722361[/C][C]0.0977279565552778[/C][C]0.0488639782776389[/C][/ROW]
[ROW][C]100[/C][C]0.942761279502098[/C][C]0.114477440995804[/C][C]0.057238720497902[/C][/ROW]
[ROW][C]101[/C][C]0.935565156412149[/C][C]0.128869687175702[/C][C]0.0644348435878511[/C][/ROW]
[ROW][C]102[/C][C]0.926471639263307[/C][C]0.147056721473386[/C][C]0.0735283607366931[/C][/ROW]
[ROW][C]103[/C][C]0.919473691147612[/C][C]0.161052617704776[/C][C]0.0805263088523881[/C][/ROW]
[ROW][C]104[/C][C]0.944829690672247[/C][C]0.110340618655506[/C][C]0.0551703093277528[/C][/ROW]
[ROW][C]105[/C][C]0.949000473814453[/C][C]0.101999052371095[/C][C]0.0509995261855474[/C][/ROW]
[ROW][C]106[/C][C]0.963836658252873[/C][C]0.0723266834942544[/C][C]0.0361633417471272[/C][/ROW]
[ROW][C]107[/C][C]0.977780891080125[/C][C]0.0444382178397508[/C][C]0.0222191089198754[/C][/ROW]
[ROW][C]108[/C][C]0.972674209527347[/C][C]0.0546515809453061[/C][C]0.0273257904726531[/C][/ROW]
[ROW][C]109[/C][C]0.968991535471596[/C][C]0.0620169290568082[/C][C]0.0310084645284041[/C][/ROW]
[ROW][C]110[/C][C]0.964067592771031[/C][C]0.0718648144579373[/C][C]0.0359324072289687[/C][/ROW]
[ROW][C]111[/C][C]0.96114379785245[/C][C]0.0777124042951007[/C][C]0.0388562021475503[/C][/ROW]
[ROW][C]112[/C][C]0.958118705180934[/C][C]0.0837625896381315[/C][C]0.0418812948190657[/C][/ROW]
[ROW][C]113[/C][C]0.950064388888512[/C][C]0.0998712222229756[/C][C]0.0499356111114878[/C][/ROW]
[ROW][C]114[/C][C]0.951413774938881[/C][C]0.0971724501222375[/C][C]0.0485862250611188[/C][/ROW]
[ROW][C]115[/C][C]0.947139137677346[/C][C]0.105721724645309[/C][C]0.0528608623226544[/C][/ROW]
[ROW][C]116[/C][C]0.937431884636421[/C][C]0.125136230727159[/C][C]0.0625681153635795[/C][/ROW]
[ROW][C]117[/C][C]0.926044146534828[/C][C]0.147911706930344[/C][C]0.073955853465172[/C][/ROW]
[ROW][C]118[/C][C]0.913711822297792[/C][C]0.172576355404416[/C][C]0.0862881777022078[/C][/ROW]
[ROW][C]119[/C][C]0.999711729798067[/C][C]0.000576540403865308[/C][C]0.000288270201932654[/C][/ROW]
[ROW][C]120[/C][C]0.999606270358579[/C][C]0.000787459282843052[/C][C]0.000393729641421526[/C][/ROW]
[ROW][C]121[/C][C]0.99949709562647[/C][C]0.00100580874705978[/C][C]0.000502904373529889[/C][/ROW]
[ROW][C]122[/C][C]0.999424843210717[/C][C]0.00115031357856679[/C][C]0.000575156789283393[/C][/ROW]
[ROW][C]123[/C][C]0.999400038763301[/C][C]0.00119992247339756[/C][C]0.000599961236698781[/C][/ROW]
[ROW][C]124[/C][C]0.999999421854854[/C][C]1.15629029293967e-06[/C][C]5.78145146469837e-07[/C][/ROW]
[ROW][C]125[/C][C]0.999999438368211[/C][C]1.12326357702451e-06[/C][C]5.61631788512253e-07[/C][/ROW]
[ROW][C]126[/C][C]0.999999284337097[/C][C]1.43132580562749e-06[/C][C]7.15662902813743e-07[/C][/ROW]
[ROW][C]127[/C][C]0.999999011594712[/C][C]1.97681057651431e-06[/C][C]9.88405288257155e-07[/C][/ROW]
[ROW][C]128[/C][C]0.999998540084138[/C][C]2.91983172384654e-06[/C][C]1.45991586192327e-06[/C][/ROW]
[ROW][C]129[/C][C]0.999998226097903[/C][C]3.54780419369153e-06[/C][C]1.77390209684577e-06[/C][/ROW]
[ROW][C]130[/C][C]0.999997336865625[/C][C]5.32626875088236e-06[/C][C]2.66313437544118e-06[/C][/ROW]
[ROW][C]131[/C][C]0.999996162296644[/C][C]7.6754067116346e-06[/C][C]3.8377033558173e-06[/C][/ROW]
[ROW][C]132[/C][C]0.999994965302773[/C][C]1.00693944537914e-05[/C][C]5.03469722689569e-06[/C][/ROW]
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[ROW][C]134[/C][C]0.999991781514767[/C][C]1.6436970465371e-05[/C][C]8.21848523268548e-06[/C][/ROW]
[ROW][C]135[/C][C]0.99999679270461[/C][C]6.41459078036996e-06[/C][C]3.20729539018498e-06[/C][/ROW]
[ROW][C]136[/C][C]0.999997220435462[/C][C]5.55912907653319e-06[/C][C]2.7795645382666e-06[/C][/ROW]
[ROW][C]137[/C][C]0.99999578878508[/C][C]8.42242983930553e-06[/C][C]4.21121491965277e-06[/C][/ROW]
[ROW][C]138[/C][C]0.999996347348093[/C][C]7.30530381356873e-06[/C][C]3.65265190678436e-06[/C][/ROW]
[ROW][C]139[/C][C]0.999996612784999[/C][C]6.7744300022969e-06[/C][C]3.38721500114845e-06[/C][/ROW]
[ROW][C]140[/C][C]0.999994949727887[/C][C]1.01005442259146e-05[/C][C]5.0502721129573e-06[/C][/ROW]
[ROW][C]141[/C][C]0.999992719741238[/C][C]1.45605175244384e-05[/C][C]7.2802587622192e-06[/C][/ROW]
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[ROW][C]150[/C][C]0.999997431239137[/C][C]5.13752172681938e-06[/C][C]2.56876086340969e-06[/C][/ROW]
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[ROW][C]152[/C][C]0.999997144699805[/C][C]5.71060039028508e-06[/C][C]2.85530019514254e-06[/C][/ROW]
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[ROW][C]154[/C][C]0.999998194255791[/C][C]3.61148841761043e-06[/C][C]1.80574420880521e-06[/C][/ROW]
[ROW][C]155[/C][C]0.999997705458726[/C][C]4.5890825482957e-06[/C][C]2.29454127414785e-06[/C][/ROW]
[ROW][C]156[/C][C]0.999999910177688[/C][C]1.7964462429445e-07[/C][C]8.9822312147225e-08[/C][/ROW]
[ROW][C]157[/C][C]0.999999858114652[/C][C]2.83770696138502e-07[/C][C]1.41885348069251e-07[/C][/ROW]
[ROW][C]158[/C][C]0.99999979384402[/C][C]4.12311960761712e-07[/C][C]2.06155980380856e-07[/C][/ROW]
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[ROW][C]161[/C][C]0.999999407151849[/C][C]1.18569630106416e-06[/C][C]5.92848150532081e-07[/C][/ROW]
[ROW][C]162[/C][C]0.99999999630311[/C][C]7.39378058109286e-09[/C][C]3.69689029054643e-09[/C][/ROW]
[ROW][C]163[/C][C]0.999999994793359[/C][C]1.04132815525039e-08[/C][C]5.20664077625194e-09[/C][/ROW]
[ROW][C]164[/C][C]0.999999996688441[/C][C]6.62311796072293e-09[/C][C]3.31155898036146e-09[/C][/ROW]
[ROW][C]165[/C][C]0.999999996641662[/C][C]6.7166763961917e-09[/C][C]3.35833819809585e-09[/C][/ROW]
[ROW][C]166[/C][C]0.999999996449889[/C][C]7.10022217179143e-09[/C][C]3.55011108589572e-09[/C][/ROW]
[ROW][C]167[/C][C]0.999999996272343[/C][C]7.4553143132678e-09[/C][C]3.7276571566339e-09[/C][/ROW]
[ROW][C]168[/C][C]0.999999999315397[/C][C]1.36920533452018e-09[/C][C]6.84602667260092e-10[/C][/ROW]
[ROW][C]169[/C][C]0.999999999181573[/C][C]1.63685416999887e-09[/C][C]8.18427084999436e-10[/C][/ROW]
[ROW][C]170[/C][C]0.999999999926124[/C][C]1.47751054305694e-10[/C][C]7.3875527152847e-11[/C][/ROW]
[ROW][C]171[/C][C]0.999999999890458[/C][C]2.19084127172454e-10[/C][C]1.09542063586227e-10[/C][/ROW]
[ROW][C]172[/C][C]0.999999999800488[/C][C]3.99023270401209e-10[/C][C]1.99511635200605e-10[/C][/ROW]
[ROW][C]173[/C][C]0.999999999704036[/C][C]5.91928970077398e-10[/C][C]2.95964485038699e-10[/C][/ROW]
[ROW][C]174[/C][C]0.999999999757072[/C][C]4.85855563469679e-10[/C][C]2.42927781734839e-10[/C][/ROW]
[ROW][C]175[/C][C]0.999999999939448[/C][C]1.21103890986754e-10[/C][C]6.05519454933771e-11[/C][/ROW]
[ROW][C]176[/C][C]0.999999999912573[/C][C]1.74853345572454e-10[/C][C]8.7426672786227e-11[/C][/ROW]
[ROW][C]177[/C][C]0.999999999976804[/C][C]4.63924123705369e-11[/C][C]2.31962061852684e-11[/C][/ROW]
[ROW][C]178[/C][C]0.999999999955525[/C][C]8.89501028194626e-11[/C][C]4.44750514097313e-11[/C][/ROW]
[ROW][C]179[/C][C]0.999999999983754[/C][C]3.24929771068762e-11[/C][C]1.62464885534381e-11[/C][/ROW]
[ROW][C]180[/C][C]0.999999999977205[/C][C]4.55902554002229e-11[/C][C]2.27951277001115e-11[/C][/ROW]
[ROW][C]181[/C][C]0.999999999958798[/C][C]8.24043856577338e-11[/C][C]4.12021928288669e-11[/C][/ROW]
[ROW][C]182[/C][C]0.999999999991519[/C][C]1.69628925738381e-11[/C][C]8.48144628691905e-12[/C][/ROW]
[ROW][C]183[/C][C]0.999999999983209[/C][C]3.35829413323308e-11[/C][C]1.67914706661654e-11[/C][/ROW]
[ROW][C]184[/C][C]0.999999999968385[/C][C]6.32298630807672e-11[/C][C]3.16149315403836e-11[/C][/ROW]
[ROW][C]185[/C][C]0.999999999981232[/C][C]3.75363649668467e-11[/C][C]1.87681824834233e-11[/C][/ROW]
[ROW][C]186[/C][C]0.999999999963007[/C][C]7.39851827530515e-11[/C][C]3.69925913765257e-11[/C][/ROW]
[ROW][C]187[/C][C]0.999999999947013[/C][C]1.05973086001085e-10[/C][C]5.29865430005424e-11[/C][/ROW]
[ROW][C]188[/C][C]0.999999999899538[/C][C]2.00924445447303e-10[/C][C]1.00462222723652e-10[/C][/ROW]
[ROW][C]189[/C][C]0.999999999895749[/C][C]2.08501753607847e-10[/C][C]1.04250876803924e-10[/C][/ROW]
[ROW][C]190[/C][C]0.999999999836996[/C][C]3.26007550108223e-10[/C][C]1.63003775054111e-10[/C][/ROW]
[ROW][C]191[/C][C]0.999999999878962[/C][C]2.4207593118149e-10[/C][C]1.21037965590745e-10[/C][/ROW]
[ROW][C]192[/C][C]0.999999999769268[/C][C]4.6146317134057e-10[/C][C]2.30731585670285e-10[/C][/ROW]
[ROW][C]193[/C][C]0.999999999606596[/C][C]7.86807642501468e-10[/C][C]3.93403821250734e-10[/C][/ROW]
[ROW][C]194[/C][C]0.999999999476393[/C][C]1.04721479789655e-09[/C][C]5.23607398948274e-10[/C][/ROW]
[ROW][C]195[/C][C]0.999999999002102[/C][C]1.99579626280562e-09[/C][C]9.9789813140281e-10[/C][/ROW]
[ROW][C]196[/C][C]0.999999998527437[/C][C]2.94512528336035e-09[/C][C]1.47256264168018e-09[/C][/ROW]
[ROW][C]197[/C][C]0.999999997684425[/C][C]4.63115065992487e-09[/C][C]2.31557532996243e-09[/C][/ROW]
[ROW][C]198[/C][C]0.999999999573609[/C][C]8.52782496574301e-10[/C][C]4.26391248287151e-10[/C][/ROW]
[ROW][C]199[/C][C]0.999999999548328[/C][C]9.03344773409966e-10[/C][C]4.51672386704983e-10[/C][/ROW]
[ROW][C]200[/C][C]0.999999999376375[/C][C]1.24724978781052e-09[/C][C]6.23624893905261e-10[/C][/ROW]
[ROW][C]201[/C][C]0.999999998984537[/C][C]2.03092553494201e-09[/C][C]1.015462767471e-09[/C][/ROW]
[ROW][C]202[/C][C]0.999999999604577[/C][C]7.90845553742841e-10[/C][C]3.9542277687142e-10[/C][/ROW]
[ROW][C]203[/C][C]0.999999999289597[/C][C]1.42080528846131e-09[/C][C]7.10402644230656e-10[/C][/ROW]
[ROW][C]204[/C][C]0.999999999030108[/C][C]1.93978395471248e-09[/C][C]9.6989197735624e-10[/C][/ROW]
[ROW][C]205[/C][C]0.999999998186948[/C][C]3.6261050580997e-09[/C][C]1.81305252904985e-09[/C][/ROW]
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[ROW][C]207[/C][C]0.999999993771222[/C][C]1.2457556213178e-08[/C][C]6.22877810658898e-09[/C][/ROW]
[ROW][C]208[/C][C]0.999999988552786[/C][C]2.28944269597769e-08[/C][C]1.14472134798884e-08[/C][/ROW]
[ROW][C]209[/C][C]0.99999998475954[/C][C]3.0480920582403e-08[/C][C]1.52404602912015e-08[/C][/ROW]
[ROW][C]210[/C][C]0.999999989537754[/C][C]2.09244924801853e-08[/C][C]1.04622462400926e-08[/C][/ROW]
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[ROW][C]221[/C][C]0.999999653140345[/C][C]6.93719310125495e-07[/C][C]3.46859655062747e-07[/C][/ROW]
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[ROW][C]224[/C][C]0.999998555195921[/C][C]2.8896081582824e-06[/C][C]1.4448040791412e-06[/C][/ROW]
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[ROW][C]226[/C][C]0.999996736362208[/C][C]6.52727558456978e-06[/C][C]3.26363779228489e-06[/C][/ROW]
[ROW][C]227[/C][C]0.999997645402438[/C][C]4.70919512437939e-06[/C][C]2.35459756218969e-06[/C][/ROW]
[ROW][C]228[/C][C]0.999995653854759[/C][C]8.69229048159106e-06[/C][C]4.34614524079553e-06[/C][/ROW]
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[ROW][C]250[/C][C]0.999502595609503[/C][C]0.000994808780993913[/C][C]0.000497404390496956[/C][/ROW]
[ROW][C]251[/C][C]0.999118348680511[/C][C]0.00176330263897878[/C][C]0.000881651319489392[/C][/ROW]
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[ROW][C]254[/C][C]0.997696430891267[/C][C]0.00460713821746571[/C][C]0.00230356910873285[/C][/ROW]
[ROW][C]255[/C][C]0.997299693799335[/C][C]0.00540061240133085[/C][C]0.00270030620066542[/C][/ROW]
[ROW][C]256[/C][C]0.995724804303673[/C][C]0.00855039139265376[/C][C]0.00427519569632688[/C][/ROW]
[ROW][C]257[/C][C]0.992501987738311[/C][C]0.0149960245233784[/C][C]0.00749801226168921[/C][/ROW]
[ROW][C]258[/C][C]0.987754149557637[/C][C]0.0244917008847262[/C][C]0.0122458504423631[/C][/ROW]
[ROW][C]259[/C][C]0.982479710243965[/C][C]0.0350405795120701[/C][C]0.017520289756035[/C][/ROW]
[ROW][C]260[/C][C]0.97129320254205[/C][C]0.0574135949159001[/C][C]0.0287067974579501[/C][/ROW]
[ROW][C]261[/C][C]0.952801781457152[/C][C]0.0943964370856954[/C][C]0.0471982185428477[/C][/ROW]
[ROW][C]262[/C][C]0.945895804079404[/C][C]0.108208391841192[/C][C]0.0541041959205959[/C][/ROW]
[ROW][C]263[/C][C]0.983811725521182[/C][C]0.0323765489576368[/C][C]0.0161882744788184[/C][/ROW]
[ROW][C]264[/C][C]0.97060747194443[/C][C]0.058785056111141[/C][C]0.0293925280555705[/C][/ROW]
[ROW][C]265[/C][C]0.946922755408034[/C][C]0.106154489183933[/C][C]0.0530772445919664[/C][/ROW]
[ROW][C]266[/C][C]0.90818330007546[/C][C]0.18363339984908[/C][C]0.0918166999245398[/C][/ROW]
[ROW][C]267[/C][C]0.848951766717824[/C][C]0.302096466564352[/C][C]0.151048233282176[/C][/ROW]
[ROW][C]268[/C][C]0.900332031113552[/C][C]0.199335937772896[/C][C]0.0996679688864479[/C][/ROW]
[ROW][C]269[/C][C]0.849661596465633[/C][C]0.300676807068734[/C][C]0.150338403534367[/C][/ROW]
[ROW][C]270[/C][C]0.798344865315368[/C][C]0.403310269369265[/C][C]0.201655134684632[/C][/ROW]
[ROW][C]271[/C][C]0.713459986002837[/C][C]0.573080027994326[/C][C]0.286540013997163[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154300&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154300&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
180.2183073928448810.4366147856897630.781692607155119
190.1644663165261150.328932633052230.835533683473885
200.0826251107738330.1652502215476660.917374889226167
210.4170847189494760.8341694378989520.582915281050524
220.3775630531565680.7551261063131360.622436946843432
230.2762473630836570.5524947261673140.723752636916343
240.1944009259581330.3888018519162670.805599074041867
250.1500114854886920.3000229709773840.849988514511308
260.1018819174128240.2037638348256480.898118082587176
270.08853335673850190.1770667134770040.911466643261498
280.0574494270309440.1148988540618880.942550572969056
290.03965501817832370.07931003635664740.960344981821676
300.03044022874382870.06088045748765740.969559771256171
310.05106872558968960.1021374511793790.94893127441031
320.03645786834380130.07291573668760270.963542131656199
330.02407554319614490.04815108639228990.975924456803855
340.01666900262853940.03333800525707880.983330997371461
350.02787427369913720.05574854739827440.972125726300863
360.03278703438599420.06557406877198830.967212965614006
370.02727197994753150.05454395989506290.972728020052469
380.01986285834734530.03972571669469070.980137141652655
390.01452503953072540.02905007906145080.985474960469275
400.02148472461863850.0429694492372770.978515275381362
410.01708081658088270.03416163316176530.982919183419117
420.01304544575886110.02609089151772220.986954554241139
430.008948671304655060.01789734260931010.991051328695345
440.007120765948762020.0142415318975240.992879234051238
450.02449225557537740.04898451115075480.975507744424623
460.01894309270201250.03788618540402490.981056907297988
470.01405204074298160.02810408148596310.985947959257018
480.01068236475246760.02136472950493520.989317635247532
490.007431104670532880.01486220934106580.992568895329467
500.01051171706042150.02102343412084310.989488282939578
510.01570480418531020.03140960837062050.98429519581469
520.01345252387060550.0269050477412110.986547476129395
530.009508377239753360.01901675447950670.990491622760247
540.01097079024271970.02194158048543940.98902920975728
550.01140174806365830.02280349612731660.988598251936342
560.008614624189174950.01722924837834990.991385375810825
570.006201649027707620.01240329805541520.993798350972292
580.006125570283207160.01225114056641430.993874429716793
590.00426285307941050.008525706158821010.995737146920589
600.002994126602872740.005988253205745480.997005873397127
610.002113912007215890.004227824014431780.997886087992784
620.002463592967175670.004927185934351330.997536407032824
630.002511171767532540.005022343535065070.997488828232467
640.001819337279345330.003638674558690650.998180662720655
650.005376452839847950.01075290567969590.994623547160152
660.005128485270662630.01025697054132530.994871514729337
670.00376873762349790.00753747524699580.996231262376502
680.0030058853964610.0060117707929220.996994114603539
690.002094012911747660.004188025823495320.997905987088252
700.002021089105158690.004042178210317390.997978910894841
710.001530491438474520.003060982876949030.998469508561525
720.001070135711810730.002140271423621460.998929864288189
730.0009566743321448280.001913348664289660.999043325667855
740.001756377103972210.003512754207944420.998243622896028
750.003409371202713070.006818742405426140.996590628797287
760.003264901286004790.006529802572009580.996735098713995
770.00277529553854650.005550591077092990.997224704461454
780.004300479753061810.008600959506123630.995699520246938
790.00380300608664170.00760601217328340.996196993913358
800.00370399987156020.007407999743120410.99629600012844
810.002983096374641030.005966192749282060.997016903625359
820.002197461555742610.004394923111485210.997802538444257
830.001753167167349870.003506334334699750.99824683283265
840.001291930633830840.002583861267661690.998708069366169
850.9739033182681220.05219336346375670.0260966817318784
860.9687170661900810.06256586761983750.0312829338099188
870.9624627881074310.07507442378513870.0375372118925694
880.9550932980548070.08981340389038550.0449067019451927
890.9559903496468930.08801930070621430.0440096503531071
900.9610090496310010.07798190073799730.0389909503689986
910.957367559349930.08526488130014050.0426324406500703
920.9568939708544450.08621205829110960.0431060291455548
930.9491225974579380.1017548050841240.050877402542062
940.9392810370774980.1214379258450040.0607189629225018
950.9358260932866950.128347813426610.0641739067133052
960.9350918491283780.1298163017432450.0649081508716223
970.9406525597652540.1186948804694930.0593474402347464
980.9544489688478690.09110206230426270.0455510311521314
990.9511360217223610.09772795655527780.0488639782776389
1000.9427612795020980.1144774409958040.057238720497902
1010.9355651564121490.1288696871757020.0644348435878511
1020.9264716392633070.1470567214733860.0735283607366931
1030.9194736911476120.1610526177047760.0805263088523881
1040.9448296906722470.1103406186555060.0551703093277528
1050.9490004738144530.1019990523710950.0509995261855474
1060.9638366582528730.07232668349425440.0361633417471272
1070.9777808910801250.04443821783975080.0222191089198754
1080.9726742095273470.05465158094530610.0273257904726531
1090.9689915354715960.06201692905680820.0310084645284041
1100.9640675927710310.07186481445793730.0359324072289687
1110.961143797852450.07771240429510070.0388562021475503
1120.9581187051809340.08376258963813150.0418812948190657
1130.9500643888885120.09987122222297560.0499356111114878
1140.9514137749388810.09717245012223750.0485862250611188
1150.9471391376773460.1057217246453090.0528608623226544
1160.9374318846364210.1251362307271590.0625681153635795
1170.9260441465348280.1479117069303440.073955853465172
1180.9137118222977920.1725763554044160.0862881777022078
1190.9997117297980670.0005765404038653080.000288270201932654
1200.9996062703585790.0007874592828430520.000393729641421526
1210.999497095626470.001005808747059780.000502904373529889
1220.9994248432107170.001150313578566790.000575156789283393
1230.9994000387633010.001199922473397560.000599961236698781
1240.9999994218548541.15629029293967e-065.78145146469837e-07
1250.9999994383682111.12326357702451e-065.61631788512253e-07
1260.9999992843370971.43132580562749e-067.15662902813743e-07
1270.9999990115947121.97681057651431e-069.88405288257155e-07
1280.9999985400841382.91983172384654e-061.45991586192327e-06
1290.9999982260979033.54780419369153e-061.77390209684577e-06
1300.9999973368656255.32626875088236e-062.66313437544118e-06
1310.9999961622966447.6754067116346e-063.8377033558173e-06
1320.9999949653027731.00693944537914e-055.03469722689569e-06
1330.9999939400397361.21199205283088e-056.05996026415441e-06
1340.9999917815147671.6436970465371e-058.21848523268548e-06
1350.999996792704616.41459078036996e-063.20729539018498e-06
1360.9999972204354625.55912907653319e-062.7795645382666e-06
1370.999995788785088.42242983930553e-064.21121491965277e-06
1380.9999963473480937.30530381356873e-063.65265190678436e-06
1390.9999966127849996.7744300022969e-063.38721500114845e-06
1400.9999949497278871.01005442259146e-055.0502721129573e-06
1410.9999927197412381.45605175244384e-057.2802587622192e-06
1420.9999923903878451.52192243108503e-057.60961215542514e-06
1430.9999891300711222.17398577568348e-051.08699288784174e-05
1440.9999917181480831.65637038343631e-058.28185191718155e-06
1450.9999920239543751.59520912506815e-057.97604562534077e-06
1460.9999884246972612.31506054776167e-051.15753027388083e-05
1470.9999950206423819.95871523848765e-064.97935761924383e-06
1480.9999985607700222.87845995567667e-061.43922997783834e-06
1490.9999978642446754.27151065046937e-062.13575532523469e-06
1500.9999974312391375.13752172681938e-062.56876086340969e-06
1510.9999967315449586.53691008426651e-063.26845504213325e-06
1520.9999971446998055.71060039028508e-062.85530019514254e-06
1530.9999956770805158.64583896939015e-064.32291948469508e-06
1540.9999981942557913.61148841761043e-061.80574420880521e-06
1550.9999977054587264.5890825482957e-062.29454127414785e-06
1560.9999999101776881.7964462429445e-078.9822312147225e-08
1570.9999998581146522.83770696138502e-071.41885348069251e-07
1580.999999793844024.12311960761712e-072.06155980380856e-07
1590.9999997216893555.5662128937066e-072.7831064468533e-07
1600.9999996164785917.67042817437668e-073.83521408718834e-07
1610.9999994071518491.18569630106416e-065.92848150532081e-07
1620.999999996303117.39378058109286e-093.69689029054643e-09
1630.9999999947933591.04132815525039e-085.20664077625194e-09
1640.9999999966884416.62311796072293e-093.31155898036146e-09
1650.9999999966416626.7166763961917e-093.35833819809585e-09
1660.9999999964498897.10022217179143e-093.55011108589572e-09
1670.9999999962723437.4553143132678e-093.7276571566339e-09
1680.9999999993153971.36920533452018e-096.84602667260092e-10
1690.9999999991815731.63685416999887e-098.18427084999436e-10
1700.9999999999261241.47751054305694e-107.3875527152847e-11
1710.9999999998904582.19084127172454e-101.09542063586227e-10
1720.9999999998004883.99023270401209e-101.99511635200605e-10
1730.9999999997040365.91928970077398e-102.95964485038699e-10
1740.9999999997570724.85855563469679e-102.42927781734839e-10
1750.9999999999394481.21103890986754e-106.05519454933771e-11
1760.9999999999125731.74853345572454e-108.7426672786227e-11
1770.9999999999768044.63924123705369e-112.31962061852684e-11
1780.9999999999555258.89501028194626e-114.44750514097313e-11
1790.9999999999837543.24929771068762e-111.62464885534381e-11
1800.9999999999772054.55902554002229e-112.27951277001115e-11
1810.9999999999587988.24043856577338e-114.12021928288669e-11
1820.9999999999915191.69628925738381e-118.48144628691905e-12
1830.9999999999832093.35829413323308e-111.67914706661654e-11
1840.9999999999683856.32298630807672e-113.16149315403836e-11
1850.9999999999812323.75363649668467e-111.87681824834233e-11
1860.9999999999630077.39851827530515e-113.69925913765257e-11
1870.9999999999470131.05973086001085e-105.29865430005424e-11
1880.9999999998995382.00924445447303e-101.00462222723652e-10
1890.9999999998957492.08501753607847e-101.04250876803924e-10
1900.9999999998369963.26007550108223e-101.63003775054111e-10
1910.9999999998789622.4207593118149e-101.21037965590745e-10
1920.9999999997692684.6146317134057e-102.30731585670285e-10
1930.9999999996065967.86807642501468e-103.93403821250734e-10
1940.9999999994763931.04721479789655e-095.23607398948274e-10
1950.9999999990021021.99579626280562e-099.9789813140281e-10
1960.9999999985274372.94512528336035e-091.47256264168018e-09
1970.9999999976844254.63115065992487e-092.31557532996243e-09
1980.9999999995736098.52782496574301e-104.26391248287151e-10
1990.9999999995483289.03344773409966e-104.51672386704983e-10
2000.9999999993763751.24724978781052e-096.23624893905261e-10
2010.9999999989845372.03092553494201e-091.015462767471e-09
2020.9999999996045777.90845553742841e-103.9542277687142e-10
2030.9999999992895971.42080528846131e-097.10402644230656e-10
2040.9999999990301081.93978395471248e-099.6989197735624e-10
2050.9999999981869483.6261050580997e-091.81305252904985e-09
2060.9999999965084626.98307616498e-093.49153808249e-09
2070.9999999937712221.2457556213178e-086.22877810658898e-09
2080.9999999885527862.28944269597769e-081.14472134798884e-08
2090.999999984759543.0480920582403e-081.52404602912015e-08
2100.9999999895377542.09244924801853e-081.04622462400926e-08
2110.9999999875896822.4820636662233e-081.24103183311165e-08
2120.9999999781619134.36761737491379e-082.18380868745689e-08
2130.9999999585977288.28045450867886e-084.14022725433943e-08
2140.9999999260858681.47828264142241e-077.39141320711205e-08
2150.9999998981962282.03607544561198e-071.01803772280599e-07
2160.9999998872356212.25528758208257e-071.12764379104129e-07
2170.9999997878792564.24241487204511e-072.12120743602256e-07
2180.9999998529592232.94081553090526e-071.47040776545263e-07
2190.9999997748677894.50264422952521e-072.2513221147626e-07
2200.9999996917260286.16547943818454e-073.08273971909227e-07
2210.9999996531403456.93719310125495e-073.46859655062747e-07
2220.9999994862102291.02757954190078e-065.13789770950389e-07
2230.9999991944426131.61111477311704e-068.05557386558519e-07
2240.9999985551959212.8896081582824e-061.4448040791412e-06
2250.9999975161247234.96775055401405e-062.48387527700703e-06
2260.9999967363622086.52727558456978e-063.26363779228489e-06
2270.9999976454024384.70919512437939e-062.35459756218969e-06
2280.9999956538547598.69229048159106e-064.34614524079553e-06
2290.9999983534340333.29313193393541e-061.64656596696771e-06
2300.9999996679099736.64180053762509e-073.32090026881255e-07
2310.9999994190047241.16199055131652e-065.80995275658261e-07
2320.9999988605809212.27883815752435e-061.13941907876218e-06
2330.9999987827121782.43457564448031e-061.21728782224016e-06
2340.9999976379808164.72403836754166e-062.36201918377083e-06
2350.99999547632819.04734380040422e-064.52367190020211e-06
2360.999991294983941.7410032120006e-058.70501606000301e-06
2370.9999883161655132.33676689745001e-051.168383448725e-05
2380.9999793595338324.12809323360631e-052.06404661680316e-05
2390.9999622327914937.553441701472e-053.776720850736e-05
2400.9999312983885810.0001374032228383616.87016114191803e-05
2410.999890593986090.0002188120278203110.000109406013910156
2420.9998881087560530.0002237824878940130.000111891243947006
2430.9998099797553220.0003800404893554320.000190020244677716
2440.9996887523614260.0006224952771488870.000311247638574443
2450.9994462111112370.001107577777526820.000553788888763411
2460.9995259149372390.0009481701255222090.000474085062761105
2470.9995632912305390.000873417538921420.00043670876946071
2480.999253070969450.001493858061100150.000746929030550077
2490.998755296085320.002489407829360270.00124470391468014
2500.9995025956095030.0009948087809939130.000497404390496956
2510.9991183486805110.001763302638978780.000881651319489392
2520.9992584732554880.001483053489023020.000741526744511508
2530.9986696773729580.002660645254083780.00133032262704189
2540.9976964308912670.004607138217465710.00230356910873285
2550.9972996937993350.005400612401330850.00270030620066542
2560.9957248043036730.008550391392653760.00427519569632688
2570.9925019877383110.01499602452337840.00749801226168921
2580.9877541495576370.02449170088472620.0122458504423631
2590.9824797102439650.03504057951207010.017520289756035
2600.971293202542050.05741359491590010.0287067974579501
2610.9528017814571520.09439643708569540.0471982185428477
2620.9458958040794040.1082083918411920.0541041959205959
2630.9838117255211820.03237654895763680.0161882744788184
2640.970607471944430.0587850561111410.0293925280555705
2650.9469227554080340.1061544891839330.0530772445919664
2660.908183300075460.183633399849080.0918166999245398
2670.8489517667178240.3020964665643520.151048233282176
2680.9003320311135520.1993359377728960.0996679688864479
2690.8496615964656330.3006768070687340.150338403534367
2700.7983448653153680.4033102693692650.201655134684632
2710.7134599860028370.5730800279943260.286540013997163







Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1620.637795275590551NOK
5% type I error level1920.755905511811024NOK
10% type I error level2190.862204724409449NOK

\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 & 162 & 0.637795275590551 & NOK \tabularnewline
5% type I error level & 192 & 0.755905511811024 & NOK \tabularnewline
10% type I error level & 219 & 0.862204724409449 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154300&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]162[/C][C]0.637795275590551[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]192[/C][C]0.755905511811024[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]219[/C][C]0.862204724409449[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154300&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154300&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 level1620.637795275590551NOK
5% type I error level1920.755905511811024NOK
10% type I error level2190.862204724409449NOK



Parameters (Session):
par1 = 11 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 11 ; 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')
}