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 computationSat, 08 Dec 2012 12:23:05 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/08/t1354987417l7gp4sbkesqgqqt.htm/, Retrieved Thu, 25 Apr 2024 19:34:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=197691, Retrieved Thu, 25 Apr 2024 19:34:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact93
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [] [2010-12-05 18:56:24] [b98453cac15ba1066b407e146608df68]
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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 time19 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 19 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197691&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]19 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197691&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197691&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 time19 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net







Multiple Linear Regression - Estimated Regression Equation
feedback_messages_p1[t] = + 2.41018553289732 + 0.00176433315477592pageviews[t] + 3.14011967144647e-05time_in_rfc[t] + 0.00643794072058293logins[t] -0.0106311268717078compendium_views_info[t] -0.00665370872300795compendium_views_pr[t] + 0.0503944547281749shared_compendiums[t] + 0.0157434863360769blogged_computations[t] + 2.93166566004205compendiums_reviewed[t] + 0.232398117159491feedback_messages_p120[t] -1.90234000609837e-05totsize[t] + 1.71787590190431e-05totrevisions[t] -2.05100801884319e-05totseconds[t] + 0.0397116662435261tothyperlinks[t] -0.0415468190605679totblogsd[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
feedback_messages_p1[t] =  +  2.41018553289732 +  0.00176433315477592pageviews[t] +  3.14011967144647e-05time_in_rfc[t] +  0.00643794072058293logins[t] -0.0106311268717078compendium_views_info[t] -0.00665370872300795compendium_views_pr[t] +  0.0503944547281749shared_compendiums[t] +  0.0157434863360769blogged_computations[t] +  2.93166566004205compendiums_reviewed[t] +  0.232398117159491feedback_messages_p120[t] -1.90234000609837e-05totsize[t] +  1.71787590190431e-05totrevisions[t] -2.05100801884319e-05totseconds[t] +  0.0397116662435261tothyperlinks[t] -0.0415468190605679totblogsd[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197691&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]feedback_messages_p1[t] =  +  2.41018553289732 +  0.00176433315477592pageviews[t] +  3.14011967144647e-05time_in_rfc[t] +  0.00643794072058293logins[t] -0.0106311268717078compendium_views_info[t] -0.00665370872300795compendium_views_pr[t] +  0.0503944547281749shared_compendiums[t] +  0.0157434863360769blogged_computations[t] +  2.93166566004205compendiums_reviewed[t] +  0.232398117159491feedback_messages_p120[t] -1.90234000609837e-05totsize[t] +  1.71787590190431e-05totrevisions[t] -2.05100801884319e-05totseconds[t] +  0.0397116662435261tothyperlinks[t] -0.0415468190605679totblogsd[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197691&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197691&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
feedback_messages_p1[t] = + 2.41018553289732 + 0.00176433315477592pageviews[t] + 3.14011967144647e-05time_in_rfc[t] + 0.00643794072058293logins[t] -0.0106311268717078compendium_views_info[t] -0.00665370872300795compendium_views_pr[t] + 0.0503944547281749shared_compendiums[t] + 0.0157434863360769blogged_computations[t] + 2.93166566004205compendiums_reviewed[t] + 0.232398117159491feedback_messages_p120[t] -1.90234000609837e-05totsize[t] + 1.71787590190431e-05totrevisions[t] -2.05100801884319e-05totseconds[t] + 0.0397116662435261tothyperlinks[t] -0.0415468190605679totblogsd[t] + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)2.410185532897321.0026872.40370.0168930.008447
pageviews0.001764333154775920.0023250.75880.4486160.224308
time_in_rfc3.14011967144647e-051.7e-051.81710.0703010.035151
logins0.006437940720582930.0177670.36240.7173620.358681
compendium_views_info-0.01063112687170780.005304-2.00430.0460250.023013
compendium_views_pr-0.006653708723007950.009518-0.69910.4851050.242553
shared_compendiums0.05039445472817490.1580170.31890.7500320.375016
blogged_computations0.01574348633607690.0263390.59770.5505240.275262
compendiums_reviewed2.931665660042050.09089432.253800
feedback_messages_p1200.2323981171594910.0265928.739500
totsize-1.90234000609837e-051.9e-05-1.02010.3085880.154294
totrevisions1.71787590190431e-059.3e-050.18520.85320.4266
totseconds-2.05100801884319e-052.5e-05-0.81330.4167310.208365
tothyperlinks0.03971166624352610.1256630.3160.7522310.376115
totblogsd-0.04154681906056790.130239-0.3190.7499650.374983

\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) & 2.41018553289732 & 1.002687 & 2.4037 & 0.016893 & 0.008447 \tabularnewline
pageviews & 0.00176433315477592 & 0.002325 & 0.7588 & 0.448616 & 0.224308 \tabularnewline
time_in_rfc & 3.14011967144647e-05 & 1.7e-05 & 1.8171 & 0.070301 & 0.035151 \tabularnewline
logins & 0.00643794072058293 & 0.017767 & 0.3624 & 0.717362 & 0.358681 \tabularnewline
compendium_views_info & -0.0106311268717078 & 0.005304 & -2.0043 & 0.046025 & 0.023013 \tabularnewline
compendium_views_pr & -0.00665370872300795 & 0.009518 & -0.6991 & 0.485105 & 0.242553 \tabularnewline
shared_compendiums & 0.0503944547281749 & 0.158017 & 0.3189 & 0.750032 & 0.375016 \tabularnewline
blogged_computations & 0.0157434863360769 & 0.026339 & 0.5977 & 0.550524 & 0.275262 \tabularnewline
compendiums_reviewed & 2.93166566004205 & 0.090894 & 32.2538 & 0 & 0 \tabularnewline
feedback_messages_p120 & 0.232398117159491 & 0.026592 & 8.7395 & 0 & 0 \tabularnewline
totsize & -1.90234000609837e-05 & 1.9e-05 & -1.0201 & 0.308588 & 0.154294 \tabularnewline
totrevisions & 1.71787590190431e-05 & 9.3e-05 & 0.1852 & 0.8532 & 0.4266 \tabularnewline
totseconds & -2.05100801884319e-05 & 2.5e-05 & -0.8133 & 0.416731 & 0.208365 \tabularnewline
tothyperlinks & 0.0397116662435261 & 0.125663 & 0.316 & 0.752231 & 0.376115 \tabularnewline
totblogsd & -0.0415468190605679 & 0.130239 & -0.319 & 0.749965 & 0.374983 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197691&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]2.41018553289732[/C][C]1.002687[/C][C]2.4037[/C][C]0.016893[/C][C]0.008447[/C][/ROW]
[ROW][C]pageviews[/C][C]0.00176433315477592[/C][C]0.002325[/C][C]0.7588[/C][C]0.448616[/C][C]0.224308[/C][/ROW]
[ROW][C]time_in_rfc[/C][C]3.14011967144647e-05[/C][C]1.7e-05[/C][C]1.8171[/C][C]0.070301[/C][C]0.035151[/C][/ROW]
[ROW][C]logins[/C][C]0.00643794072058293[/C][C]0.017767[/C][C]0.3624[/C][C]0.717362[/C][C]0.358681[/C][/ROW]
[ROW][C]compendium_views_info[/C][C]-0.0106311268717078[/C][C]0.005304[/C][C]-2.0043[/C][C]0.046025[/C][C]0.023013[/C][/ROW]
[ROW][C]compendium_views_pr[/C][C]-0.00665370872300795[/C][C]0.009518[/C][C]-0.6991[/C][C]0.485105[/C][C]0.242553[/C][/ROW]
[ROW][C]shared_compendiums[/C][C]0.0503944547281749[/C][C]0.158017[/C][C]0.3189[/C][C]0.750032[/C][C]0.375016[/C][/ROW]
[ROW][C]blogged_computations[/C][C]0.0157434863360769[/C][C]0.026339[/C][C]0.5977[/C][C]0.550524[/C][C]0.275262[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]2.93166566004205[/C][C]0.090894[/C][C]32.2538[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]feedback_messages_p120[/C][C]0.232398117159491[/C][C]0.026592[/C][C]8.7395[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]totsize[/C][C]-1.90234000609837e-05[/C][C]1.9e-05[/C][C]-1.0201[/C][C]0.308588[/C][C]0.154294[/C][/ROW]
[ROW][C]totrevisions[/C][C]1.71787590190431e-05[/C][C]9.3e-05[/C][C]0.1852[/C][C]0.8532[/C][C]0.4266[/C][/ROW]
[ROW][C]totseconds[/C][C]-2.05100801884319e-05[/C][C]2.5e-05[/C][C]-0.8133[/C][C]0.416731[/C][C]0.208365[/C][/ROW]
[ROW][C]tothyperlinks[/C][C]0.0397116662435261[/C][C]0.125663[/C][C]0.316[/C][C]0.752231[/C][C]0.376115[/C][/ROW]
[ROW][C]totblogsd[/C][C]-0.0415468190605679[/C][C]0.130239[/C][C]-0.319[/C][C]0.749965[/C][C]0.374983[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197691&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197691&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)2.410185532897321.0026872.40370.0168930.008447
pageviews0.001764333154775920.0023250.75880.4486160.224308
time_in_rfc3.14011967144647e-051.7e-051.81710.0703010.035151
logins0.006437940720582930.0177670.36240.7173620.358681
compendium_views_info-0.01063112687170780.005304-2.00430.0460250.023013
compendium_views_pr-0.006653708723007950.009518-0.69910.4851050.242553
shared_compendiums0.05039445472817490.1580170.31890.7500320.375016
blogged_computations0.01574348633607690.0263390.59770.5505240.275262
compendiums_reviewed2.931665660042050.09089432.253800
feedback_messages_p1200.2323981171594910.0265928.739500
totsize-1.90234000609837e-051.9e-05-1.02010.3085880.154294
totrevisions1.71787590190431e-059.3e-050.18520.85320.4266
totseconds-2.05100801884319e-052.5e-05-0.81330.4167310.208365
tothyperlinks0.03971166624352610.1256630.3160.7522310.376115
totblogsd-0.04154681906056790.130239-0.3190.7499650.374983







Multiple Linear Regression - Regression Statistics
Multiple R0.988638082258301
R-squared0.977405257691371
Adjusted R-squared0.976250781806989
F-TEST (value)846.622498497804
F-TEST (DF numerator)14
F-TEST (DF denominator)274
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation6.19704142538274
Sum Squared Residuals10522.5103452473

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.988638082258301 \tabularnewline
R-squared & 0.977405257691371 \tabularnewline
Adjusted R-squared & 0.976250781806989 \tabularnewline
F-TEST (value) & 846.622498497804 \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 & 6.19704142538274 \tabularnewline
Sum Squared Residuals & 10522.5103452473 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197691&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.988638082258301[/C][/ROW]
[ROW][C]R-squared[/C][C]0.977405257691371[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.976250781806989[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]846.622498497804[/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]6.19704142538274[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]10522.5103452473[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197691&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197691&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 R0.988638082258301
R-squared0.977405257691371
Adjusted R-squared0.976250781806989
F-TEST (value)846.622498497804
F-TEST (DF numerator)14
F-TEST (DF denominator)274
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation6.19704142538274
Sum Squared Residuals10522.5103452473







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1115113.3100942357941.6899057642057
2109108.2954500563020.70454994369757
3146136.0047511828789.99524881712185
4116111.5406427864144.45935721358614
56879.883160062801-11.883160062801
610193.87311825096247.12688174903759
79694.34107188978831.65892811021169
86760.10737786698766.8926221330124
94444.2469613576074-0.24696135760743
1010097.65659881578262.34340118421742
119390.19103128693082.80896871306918
12140143.284874285415-3.28487428541521
13166168.283424225078-2.28342422507776
1499111.081700057562-12.0817000575621
15139149.301337184049-10.3013371840493
16130119.99048833385910.009511666141
17181179.6392829659881.36071703401202
18116117.599933103949-1.59993310394857
19116109.3653005034076.63469949659342
208885.05225553274012.94774446725994
21139141.252801767724-2.25280176772424
22135135.902910233115-0.902910233114687
23108117.401366034719-9.40136603471882
248995.8435639849554-6.84356398495536
25156153.4191516937212.580848306279
26129128.5847871177110.415212882289246
27118118.614473647116-0.614473647116371
28118114.5457091024893.45429089751149
29125129.603992482175-4.60399248217508
309594.82862207610560.171377923894353
31126123.8293361540542.17066384594643
32135135.737143132507-0.737143132507209
33154154.232340163222-0.23234016322208
34165167.045868520583-2.04586852058262
35113116.025526457291-3.02552645729099
36127128.239318503707-1.23931850370711
375250.4296368385761.57036316142399
38121117.1843035834063.81569641659407
39136139.346505423078-3.34650542307839
4002.26602343853419-2.26602343853419
41108101.7043385583156.2956614416847
424653.0573970876013-7.05739708760132
435461.1822006237275-7.18220062372747
44124125.486730898516-1.48673089851551
45115110.5758611029894.42413889701091
46128127.0910301822480.908969817751924
478078.95880377925731.04119622074267
4897104.696659845248-7.69665984524846
49104103.9658819946160.03411800538378
5059119.152170629841-60.1521706298408
51125123.1305512178131.86944878218678
528293.1653354899377-11.1653354899377
53149149.887443418293-0.88744341829314
54149146.0609903510462.93900964895428
55122123.804826426319-1.80482642631853
56118108.4918819388929.50811806110811
571214.8396630995299-2.83966309952986
58144153.221795380029-9.22179538002885
596769.4415055803583-2.44150558035834
605252.4318437432609-0.43184374326092
61108109.028274793792-1.02827479379154
62166171.103207049104-5.10320704910414
638083.9851351430651-3.98513514306506
646060.9119049850919-0.911904985091864
65107107.507091891796-0.507091891796035
66127134.461910632851-7.4619106328508
67107109.534238402813-2.53423840281329
68146144.5085938913141.49140610868592
698482.32596425189491.67403574810513
70141124.17896635913416.8210336408656
71123123.308401807643-0.308401807643223
72111110.0155600866440.984439913355786
739893.83517972789344.16482027210663
74105106.285224208738-1.28522420873782
75135135.712189948775-0.712189948774808
76107105.8441731103231.15582688967696
778587.421314965454-2.421314965454
78155152.7221254767182.27787452328222
798884.92362451447743.07637548552261
80155156.175901065565-1.17590106556549
81104100.2083786506553.79162134934539
82132130.8139658964251.18603410357457
83127127.570407187123-0.570407187122604
84108109.418389555353-1.41838955535266
85129125.1514002595073.84859974049337
86116116.785133306239-0.785133306238752
87122122.039424662527-0.0394246625271761
888582.6972471831812.30275281681899
89147142.4254137985224.57458620147848
9099100.567613528861-1.56761352886055
9187123.876370933843-36.8763709338427
922830.1431923747285-2.14319237472849
939086.81814696225683.18185303774315
94109113.27041591628-4.27041591627967
957879.6612206256684-1.66122062566837
96111110.8731621736970.126837826302868
97158157.1658347438120.834165256188059
98141139.3883688595751.61163114042511
99122116.7530995935815.246900406419
100124128.385730786371-4.38573078637102
1019392.8972094347360.102790565264013
102124124.370671449357-0.370671449357329
103112111.0419205332610.958079466738891
104108108.711061195418-0.7110611954181
10599106.816157478586-7.81615747858606
106117113.5617019012633.43829809873656
107199201.996696207431-2.99669620743057
1087872.95389623003115.04610376996891
1099191.5365566635456-0.536556663545623
110158156.6069403692491.39305963075096
111126122.8930923564483.10690764355186
112122109.22616571453712.7738342854625
1137172.144376729763-1.14437672976298
1147568.92731685851536.07268314148475
115115107.6323653903867.36763460961406
116119112.9434656980946.0565343019062
117124122.0640434511261.93595654887361
1187271.28360473486360.716395265136372
1199181.70869178246859.29130821753147
1204561.0257073346804-16.0257073346805
1217874.55398208716533.44601791283467
1223942.6200106227188-3.62001062271876
1236865.90847675019952.09152324980051
124119110.3166844126128.68331558738795
125117120.450746126751-3.45074612675099
1263941.4509986507644-2.45099865076437
1275050.8067376944853-0.806737694485329
1288887.91475489987450.0852451001255187
129155153.9845408837251.01545911627469
13005.15009358718902-5.15009358718902
1313635.17388096802680.826119031973171
132123116.006890098746.99310990125958
1333242.1765904886796-10.1765904886796
1349993.52765965921185.47234034078824
135136132.9960142670113.00398573298896
136117112.3313940410594.66860595894127
13702.20101536680053-2.20101536680053
1388886.05196265564431.9480373443557
1393945.875952653224-6.87595265322404
1402527.3254068202081-2.32540682020809
1415247.88896971587644.11103028412361
1427571.80989826522743.19010173477256
1437166.40587165099174.59412834900832
144124125.363298967318-1.36329896731752
145151153.126857188323-2.12685718832302
1467177.7464681852197-6.7464681852197
147145142.5245582751062.47544172489451
1488786.31243349387760.687566506122386
1492729.685966044377-2.68596604437702
150131133.36892779822-2.36892779822017
151162164.548855385009-2.54885538500931
152165161.4219554681173.57804453188316
1535452.66382587853151.33617412146855
154159154.9604785780084.03952142199231
155147142.0179552090034.98204479099697
156170171.318308528421-1.3183085284213
157119119.922035154767-0.92203515476696
1584948.80662628725580.193373712744221
159104101.5650899215612.4349100784392
160120123.269602202295-3.26960220229466
161150152.440388106061-2.44038810606119
162112112.719630102688-0.719630102687737
1635962.9926365880933-3.99263658809333
164136139.770720924614-3.77072092461389
165107109.153125995156-2.15312599515608
166130133.246745689282-3.24674568928185
167115116.83608331362-1.83608331361992
16810790.49409865222916.505901347771
1697574.36202712952180.637972870478184
1707171.4030484072831-0.403048407283104
171120114.6200627620335.37993723796663
172116116.880218125137-0.880218125137317
1737983.6057863888355-4.60578638883547
174150146.6243441589983.37565584100248
175156156.269404739342-0.269404739341908
1765148.56241371149282.43758628850717
177118118.494654813844-0.494654813843586
1787168.50455567721842.49544432278158
179144148.632023803052-4.63202380305167
1804754.5599701900283-7.55997019002834
1812827.47129051948090.528709480519106
1826863.41717400851884.58282599148117
18302.20893460871615-2.20893460871615
184110107.9243658029532.07563419704674
185147132.68540573700214.3145942629978
18602.13854848687715-2.13854848687715
1871519.3621384770723-4.36213847707229
18846.15804975777228-2.15804975777228
1896462.59095065408811.40904934591188
190111108.7329901348862.26700986511394
1918584.6569792352880.34302076471203
1926862.90282100325525.09717899674477
1934041.8196771427118-1.81967714271184
1948087.5610879967632-7.56108799676319
1958886.75034593571311.24965406428693
1964848.3887619999782-0.388761999978199
1977672.9943460993033.00565390069695
1985150.40445910585410.595540894145854
1996761.43246398596975.56753601403031
2005959.5350420036208-0.535042003620828
2016161.4850761035566-0.485076103556582
2027683.6171646128901-7.61716461289008
2036061.1378816153998-1.1378816153998
2046867.17943079109570.820569208904316
2057166.50579256744334.4942074325567
2067669.9280154038756.07198459612505
2076262.4055435868169-0.405543586816904
2086163.6338452095025-2.63384520950249
2096768.6972135245291-1.69721352452906
2108887.51509792367210.484902076327862
2113031.6790121913168-1.67901219131677
2126466.0088255171725-2.00882551717252
2136866.63187119826721.36812880173275
2146464.0364745058188-0.036474505818789
2159183.11265007763087.88734992236924
2168885.88356242421452.11643757578549
2175249.3783169869962.62168301300402
2184949.2509451975235-0.250945197523517
2196259.08481642507312.9151835749269
2206162.8811955609925-1.88119556099252
2217676.6882885803174-0.688288580317372
2228884.9488036545463.05119634545404
2236662.16007451509083.83992548490925
2247168.63306117253822.36693882746176
2256862.07602199337555.92397800662452
2264844.86582594494263.13417405505737
2272523.49426569801461.50573430198535
2286865.9883572268052.01164277319501
2294150.6241650085656-9.62416500856558
2309087.30815206375222.69184793624777
2316663.20070471395862.79929528604137
2325453.12025181909860.879748180901382
2335955.65594111034083.34405888965918
2346060.3023514436789-0.302351443678871
2357773.05003013263763.94996986736239
2366867.52641493571140.473585064288575
2377269.87410470160792.12589529839214
2386754.945742964501812.0542570354982
2396460.83660566944733.16339433055267
2406359.03436847019743.96563152980265
2415954.0955743620764.90442563792405
2428484.3933243636781-0.393324363678112
2436460.14716896000913.85283103999095
2445653.99079415590172.00920584409835
2455456.942797616749-2.94279761674901
2466761.49817028470615.50182971529394
2475856.65550836321511.34449163678491
2485958.31057009316940.689429906830573
2494039.74289501755530.257104982444719
2502220.5952073691121.40479263088797
2518383.428856774792-0.428856774791992
2528179.82821639103351.17178360896653
25325.52124185935679-3.52124185935679
2547269.72691334175492.27308665824515
2556163.9867793686575-2.98677936865747
2561514.97237757175270.0276224282472808
2573237.0943039485581-5.09430394855809
2586259.226752846862.77324715314001
2595859.0589047908913-1.05890479089128
2603633.78677556467442.21322443532557
2615952.86089333219466.13910666780539
2626868.7085092622851-0.708509262285145
2632126.7757228865372-5.77572288653718
2645553.8991364127731.10086358722702
2655455.7348668200223-1.73486682002227
2665552.14656994409362.85343005590641
2677269.1265510558562.87344894414397
2684143.2161784521068-2.21617845210679
2696164.2354805263753-3.23548052637526
2706773.0787497660775-6.07874976607746
2717669.25491337068016.74508662931986
2726463.59282701707370.407172982926275
27335.42893812577081-2.42893812577082
2746362.28806315895790.71193684104209
2754038.23414498216711.7658550178329
2766968.09271333428730.907286665712711
2774845.55508649939932.44491350060075
27889.39801333865413-1.39801333865414
2795255.0678176842089-3.06781768420891
2806667.2379535780015-1.23795357800145
2817673.78511102823442.21488897176561
2824350.4140761852233-7.41407618522334
2833939.6724561031658-0.672456103165774
2841415.8420979764214-1.84209797642139
2856161.9290948816178-0.929094881617805
2867170.31804180602820.681958193971779
2874446.2668490042521-2.26684900425206
2886058.71782396142331.2821760385767
2896457.9996898007746.00031019922598

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 115 & 113.310094235794 & 1.6899057642057 \tabularnewline
2 & 109 & 108.295450056302 & 0.70454994369757 \tabularnewline
3 & 146 & 136.004751182878 & 9.99524881712185 \tabularnewline
4 & 116 & 111.540642786414 & 4.45935721358614 \tabularnewline
5 & 68 & 79.883160062801 & -11.883160062801 \tabularnewline
6 & 101 & 93.8731182509624 & 7.12688174903759 \tabularnewline
7 & 96 & 94.3410718897883 & 1.65892811021169 \tabularnewline
8 & 67 & 60.1073778669876 & 6.8926221330124 \tabularnewline
9 & 44 & 44.2469613576074 & -0.24696135760743 \tabularnewline
10 & 100 & 97.6565988157826 & 2.34340118421742 \tabularnewline
11 & 93 & 90.1910312869308 & 2.80896871306918 \tabularnewline
12 & 140 & 143.284874285415 & -3.28487428541521 \tabularnewline
13 & 166 & 168.283424225078 & -2.28342422507776 \tabularnewline
14 & 99 & 111.081700057562 & -12.0817000575621 \tabularnewline
15 & 139 & 149.301337184049 & -10.3013371840493 \tabularnewline
16 & 130 & 119.990488333859 & 10.009511666141 \tabularnewline
17 & 181 & 179.639282965988 & 1.36071703401202 \tabularnewline
18 & 116 & 117.599933103949 & -1.59993310394857 \tabularnewline
19 & 116 & 109.365300503407 & 6.63469949659342 \tabularnewline
20 & 88 & 85.0522555327401 & 2.94774446725994 \tabularnewline
21 & 139 & 141.252801767724 & -2.25280176772424 \tabularnewline
22 & 135 & 135.902910233115 & -0.902910233114687 \tabularnewline
23 & 108 & 117.401366034719 & -9.40136603471882 \tabularnewline
24 & 89 & 95.8435639849554 & -6.84356398495536 \tabularnewline
25 & 156 & 153.419151693721 & 2.580848306279 \tabularnewline
26 & 129 & 128.584787117711 & 0.415212882289246 \tabularnewline
27 & 118 & 118.614473647116 & -0.614473647116371 \tabularnewline
28 & 118 & 114.545709102489 & 3.45429089751149 \tabularnewline
29 & 125 & 129.603992482175 & -4.60399248217508 \tabularnewline
30 & 95 & 94.8286220761056 & 0.171377923894353 \tabularnewline
31 & 126 & 123.829336154054 & 2.17066384594643 \tabularnewline
32 & 135 & 135.737143132507 & -0.737143132507209 \tabularnewline
33 & 154 & 154.232340163222 & -0.23234016322208 \tabularnewline
34 & 165 & 167.045868520583 & -2.04586852058262 \tabularnewline
35 & 113 & 116.025526457291 & -3.02552645729099 \tabularnewline
36 & 127 & 128.239318503707 & -1.23931850370711 \tabularnewline
37 & 52 & 50.429636838576 & 1.57036316142399 \tabularnewline
38 & 121 & 117.184303583406 & 3.81569641659407 \tabularnewline
39 & 136 & 139.346505423078 & -3.34650542307839 \tabularnewline
40 & 0 & 2.26602343853419 & -2.26602343853419 \tabularnewline
41 & 108 & 101.704338558315 & 6.2956614416847 \tabularnewline
42 & 46 & 53.0573970876013 & -7.05739708760132 \tabularnewline
43 & 54 & 61.1822006237275 & -7.18220062372747 \tabularnewline
44 & 124 & 125.486730898516 & -1.48673089851551 \tabularnewline
45 & 115 & 110.575861102989 & 4.42413889701091 \tabularnewline
46 & 128 & 127.091030182248 & 0.908969817751924 \tabularnewline
47 & 80 & 78.9588037792573 & 1.04119622074267 \tabularnewline
48 & 97 & 104.696659845248 & -7.69665984524846 \tabularnewline
49 & 104 & 103.965881994616 & 0.03411800538378 \tabularnewline
50 & 59 & 119.152170629841 & -60.1521706298408 \tabularnewline
51 & 125 & 123.130551217813 & 1.86944878218678 \tabularnewline
52 & 82 & 93.1653354899377 & -11.1653354899377 \tabularnewline
53 & 149 & 149.887443418293 & -0.88744341829314 \tabularnewline
54 & 149 & 146.060990351046 & 2.93900964895428 \tabularnewline
55 & 122 & 123.804826426319 & -1.80482642631853 \tabularnewline
56 & 118 & 108.491881938892 & 9.50811806110811 \tabularnewline
57 & 12 & 14.8396630995299 & -2.83966309952986 \tabularnewline
58 & 144 & 153.221795380029 & -9.22179538002885 \tabularnewline
59 & 67 & 69.4415055803583 & -2.44150558035834 \tabularnewline
60 & 52 & 52.4318437432609 & -0.43184374326092 \tabularnewline
61 & 108 & 109.028274793792 & -1.02827479379154 \tabularnewline
62 & 166 & 171.103207049104 & -5.10320704910414 \tabularnewline
63 & 80 & 83.9851351430651 & -3.98513514306506 \tabularnewline
64 & 60 & 60.9119049850919 & -0.911904985091864 \tabularnewline
65 & 107 & 107.507091891796 & -0.507091891796035 \tabularnewline
66 & 127 & 134.461910632851 & -7.4619106328508 \tabularnewline
67 & 107 & 109.534238402813 & -2.53423840281329 \tabularnewline
68 & 146 & 144.508593891314 & 1.49140610868592 \tabularnewline
69 & 84 & 82.3259642518949 & 1.67403574810513 \tabularnewline
70 & 141 & 124.178966359134 & 16.8210336408656 \tabularnewline
71 & 123 & 123.308401807643 & -0.308401807643223 \tabularnewline
72 & 111 & 110.015560086644 & 0.984439913355786 \tabularnewline
73 & 98 & 93.8351797278934 & 4.16482027210663 \tabularnewline
74 & 105 & 106.285224208738 & -1.28522420873782 \tabularnewline
75 & 135 & 135.712189948775 & -0.712189948774808 \tabularnewline
76 & 107 & 105.844173110323 & 1.15582688967696 \tabularnewline
77 & 85 & 87.421314965454 & -2.421314965454 \tabularnewline
78 & 155 & 152.722125476718 & 2.27787452328222 \tabularnewline
79 & 88 & 84.9236245144774 & 3.07637548552261 \tabularnewline
80 & 155 & 156.175901065565 & -1.17590106556549 \tabularnewline
81 & 104 & 100.208378650655 & 3.79162134934539 \tabularnewline
82 & 132 & 130.813965896425 & 1.18603410357457 \tabularnewline
83 & 127 & 127.570407187123 & -0.570407187122604 \tabularnewline
84 & 108 & 109.418389555353 & -1.41838955535266 \tabularnewline
85 & 129 & 125.151400259507 & 3.84859974049337 \tabularnewline
86 & 116 & 116.785133306239 & -0.785133306238752 \tabularnewline
87 & 122 & 122.039424662527 & -0.0394246625271761 \tabularnewline
88 & 85 & 82.697247183181 & 2.30275281681899 \tabularnewline
89 & 147 & 142.425413798522 & 4.57458620147848 \tabularnewline
90 & 99 & 100.567613528861 & -1.56761352886055 \tabularnewline
91 & 87 & 123.876370933843 & -36.8763709338427 \tabularnewline
92 & 28 & 30.1431923747285 & -2.14319237472849 \tabularnewline
93 & 90 & 86.8181469622568 & 3.18185303774315 \tabularnewline
94 & 109 & 113.27041591628 & -4.27041591627967 \tabularnewline
95 & 78 & 79.6612206256684 & -1.66122062566837 \tabularnewline
96 & 111 & 110.873162173697 & 0.126837826302868 \tabularnewline
97 & 158 & 157.165834743812 & 0.834165256188059 \tabularnewline
98 & 141 & 139.388368859575 & 1.61163114042511 \tabularnewline
99 & 122 & 116.753099593581 & 5.246900406419 \tabularnewline
100 & 124 & 128.385730786371 & -4.38573078637102 \tabularnewline
101 & 93 & 92.897209434736 & 0.102790565264013 \tabularnewline
102 & 124 & 124.370671449357 & -0.370671449357329 \tabularnewline
103 & 112 & 111.041920533261 & 0.958079466738891 \tabularnewline
104 & 108 & 108.711061195418 & -0.7110611954181 \tabularnewline
105 & 99 & 106.816157478586 & -7.81615747858606 \tabularnewline
106 & 117 & 113.561701901263 & 3.43829809873656 \tabularnewline
107 & 199 & 201.996696207431 & -2.99669620743057 \tabularnewline
108 & 78 & 72.9538962300311 & 5.04610376996891 \tabularnewline
109 & 91 & 91.5365566635456 & -0.536556663545623 \tabularnewline
110 & 158 & 156.606940369249 & 1.39305963075096 \tabularnewline
111 & 126 & 122.893092356448 & 3.10690764355186 \tabularnewline
112 & 122 & 109.226165714537 & 12.7738342854625 \tabularnewline
113 & 71 & 72.144376729763 & -1.14437672976298 \tabularnewline
114 & 75 & 68.9273168585153 & 6.07268314148475 \tabularnewline
115 & 115 & 107.632365390386 & 7.36763460961406 \tabularnewline
116 & 119 & 112.943465698094 & 6.0565343019062 \tabularnewline
117 & 124 & 122.064043451126 & 1.93595654887361 \tabularnewline
118 & 72 & 71.2836047348636 & 0.716395265136372 \tabularnewline
119 & 91 & 81.7086917824685 & 9.29130821753147 \tabularnewline
120 & 45 & 61.0257073346804 & -16.0257073346805 \tabularnewline
121 & 78 & 74.5539820871653 & 3.44601791283467 \tabularnewline
122 & 39 & 42.6200106227188 & -3.62001062271876 \tabularnewline
123 & 68 & 65.9084767501995 & 2.09152324980051 \tabularnewline
124 & 119 & 110.316684412612 & 8.68331558738795 \tabularnewline
125 & 117 & 120.450746126751 & -3.45074612675099 \tabularnewline
126 & 39 & 41.4509986507644 & -2.45099865076437 \tabularnewline
127 & 50 & 50.8067376944853 & -0.806737694485329 \tabularnewline
128 & 88 & 87.9147548998745 & 0.0852451001255187 \tabularnewline
129 & 155 & 153.984540883725 & 1.01545911627469 \tabularnewline
130 & 0 & 5.15009358718902 & -5.15009358718902 \tabularnewline
131 & 36 & 35.1738809680268 & 0.826119031973171 \tabularnewline
132 & 123 & 116.00689009874 & 6.99310990125958 \tabularnewline
133 & 32 & 42.1765904886796 & -10.1765904886796 \tabularnewline
134 & 99 & 93.5276596592118 & 5.47234034078824 \tabularnewline
135 & 136 & 132.996014267011 & 3.00398573298896 \tabularnewline
136 & 117 & 112.331394041059 & 4.66860595894127 \tabularnewline
137 & 0 & 2.20101536680053 & -2.20101536680053 \tabularnewline
138 & 88 & 86.0519626556443 & 1.9480373443557 \tabularnewline
139 & 39 & 45.875952653224 & -6.87595265322404 \tabularnewline
140 & 25 & 27.3254068202081 & -2.32540682020809 \tabularnewline
141 & 52 & 47.8889697158764 & 4.11103028412361 \tabularnewline
142 & 75 & 71.8098982652274 & 3.19010173477256 \tabularnewline
143 & 71 & 66.4058716509917 & 4.59412834900832 \tabularnewline
144 & 124 & 125.363298967318 & -1.36329896731752 \tabularnewline
145 & 151 & 153.126857188323 & -2.12685718832302 \tabularnewline
146 & 71 & 77.7464681852197 & -6.7464681852197 \tabularnewline
147 & 145 & 142.524558275106 & 2.47544172489451 \tabularnewline
148 & 87 & 86.3124334938776 & 0.687566506122386 \tabularnewline
149 & 27 & 29.685966044377 & -2.68596604437702 \tabularnewline
150 & 131 & 133.36892779822 & -2.36892779822017 \tabularnewline
151 & 162 & 164.548855385009 & -2.54885538500931 \tabularnewline
152 & 165 & 161.421955468117 & 3.57804453188316 \tabularnewline
153 & 54 & 52.6638258785315 & 1.33617412146855 \tabularnewline
154 & 159 & 154.960478578008 & 4.03952142199231 \tabularnewline
155 & 147 & 142.017955209003 & 4.98204479099697 \tabularnewline
156 & 170 & 171.318308528421 & -1.3183085284213 \tabularnewline
157 & 119 & 119.922035154767 & -0.92203515476696 \tabularnewline
158 & 49 & 48.8066262872558 & 0.193373712744221 \tabularnewline
159 & 104 & 101.565089921561 & 2.4349100784392 \tabularnewline
160 & 120 & 123.269602202295 & -3.26960220229466 \tabularnewline
161 & 150 & 152.440388106061 & -2.44038810606119 \tabularnewline
162 & 112 & 112.719630102688 & -0.719630102687737 \tabularnewline
163 & 59 & 62.9926365880933 & -3.99263658809333 \tabularnewline
164 & 136 & 139.770720924614 & -3.77072092461389 \tabularnewline
165 & 107 & 109.153125995156 & -2.15312599515608 \tabularnewline
166 & 130 & 133.246745689282 & -3.24674568928185 \tabularnewline
167 & 115 & 116.83608331362 & -1.83608331361992 \tabularnewline
168 & 107 & 90.494098652229 & 16.505901347771 \tabularnewline
169 & 75 & 74.3620271295218 & 0.637972870478184 \tabularnewline
170 & 71 & 71.4030484072831 & -0.403048407283104 \tabularnewline
171 & 120 & 114.620062762033 & 5.37993723796663 \tabularnewline
172 & 116 & 116.880218125137 & -0.880218125137317 \tabularnewline
173 & 79 & 83.6057863888355 & -4.60578638883547 \tabularnewline
174 & 150 & 146.624344158998 & 3.37565584100248 \tabularnewline
175 & 156 & 156.269404739342 & -0.269404739341908 \tabularnewline
176 & 51 & 48.5624137114928 & 2.43758628850717 \tabularnewline
177 & 118 & 118.494654813844 & -0.494654813843586 \tabularnewline
178 & 71 & 68.5045556772184 & 2.49544432278158 \tabularnewline
179 & 144 & 148.632023803052 & -4.63202380305167 \tabularnewline
180 & 47 & 54.5599701900283 & -7.55997019002834 \tabularnewline
181 & 28 & 27.4712905194809 & 0.528709480519106 \tabularnewline
182 & 68 & 63.4171740085188 & 4.58282599148117 \tabularnewline
183 & 0 & 2.20893460871615 & -2.20893460871615 \tabularnewline
184 & 110 & 107.924365802953 & 2.07563419704674 \tabularnewline
185 & 147 & 132.685405737002 & 14.3145942629978 \tabularnewline
186 & 0 & 2.13854848687715 & -2.13854848687715 \tabularnewline
187 & 15 & 19.3621384770723 & -4.36213847707229 \tabularnewline
188 & 4 & 6.15804975777228 & -2.15804975777228 \tabularnewline
189 & 64 & 62.5909506540881 & 1.40904934591188 \tabularnewline
190 & 111 & 108.732990134886 & 2.26700986511394 \tabularnewline
191 & 85 & 84.656979235288 & 0.34302076471203 \tabularnewline
192 & 68 & 62.9028210032552 & 5.09717899674477 \tabularnewline
193 & 40 & 41.8196771427118 & -1.81967714271184 \tabularnewline
194 & 80 & 87.5610879967632 & -7.56108799676319 \tabularnewline
195 & 88 & 86.7503459357131 & 1.24965406428693 \tabularnewline
196 & 48 & 48.3887619999782 & -0.388761999978199 \tabularnewline
197 & 76 & 72.994346099303 & 3.00565390069695 \tabularnewline
198 & 51 & 50.4044591058541 & 0.595540894145854 \tabularnewline
199 & 67 & 61.4324639859697 & 5.56753601403031 \tabularnewline
200 & 59 & 59.5350420036208 & -0.535042003620828 \tabularnewline
201 & 61 & 61.4850761035566 & -0.485076103556582 \tabularnewline
202 & 76 & 83.6171646128901 & -7.61716461289008 \tabularnewline
203 & 60 & 61.1378816153998 & -1.1378816153998 \tabularnewline
204 & 68 & 67.1794307910957 & 0.820569208904316 \tabularnewline
205 & 71 & 66.5057925674433 & 4.4942074325567 \tabularnewline
206 & 76 & 69.928015403875 & 6.07198459612505 \tabularnewline
207 & 62 & 62.4055435868169 & -0.405543586816904 \tabularnewline
208 & 61 & 63.6338452095025 & -2.63384520950249 \tabularnewline
209 & 67 & 68.6972135245291 & -1.69721352452906 \tabularnewline
210 & 88 & 87.5150979236721 & 0.484902076327862 \tabularnewline
211 & 30 & 31.6790121913168 & -1.67901219131677 \tabularnewline
212 & 64 & 66.0088255171725 & -2.00882551717252 \tabularnewline
213 & 68 & 66.6318711982672 & 1.36812880173275 \tabularnewline
214 & 64 & 64.0364745058188 & -0.036474505818789 \tabularnewline
215 & 91 & 83.1126500776308 & 7.88734992236924 \tabularnewline
216 & 88 & 85.8835624242145 & 2.11643757578549 \tabularnewline
217 & 52 & 49.378316986996 & 2.62168301300402 \tabularnewline
218 & 49 & 49.2509451975235 & -0.250945197523517 \tabularnewline
219 & 62 & 59.0848164250731 & 2.9151835749269 \tabularnewline
220 & 61 & 62.8811955609925 & -1.88119556099252 \tabularnewline
221 & 76 & 76.6882885803174 & -0.688288580317372 \tabularnewline
222 & 88 & 84.948803654546 & 3.05119634545404 \tabularnewline
223 & 66 & 62.1600745150908 & 3.83992548490925 \tabularnewline
224 & 71 & 68.6330611725382 & 2.36693882746176 \tabularnewline
225 & 68 & 62.0760219933755 & 5.92397800662452 \tabularnewline
226 & 48 & 44.8658259449426 & 3.13417405505737 \tabularnewline
227 & 25 & 23.4942656980146 & 1.50573430198535 \tabularnewline
228 & 68 & 65.988357226805 & 2.01164277319501 \tabularnewline
229 & 41 & 50.6241650085656 & -9.62416500856558 \tabularnewline
230 & 90 & 87.3081520637522 & 2.69184793624777 \tabularnewline
231 & 66 & 63.2007047139586 & 2.79929528604137 \tabularnewline
232 & 54 & 53.1202518190986 & 0.879748180901382 \tabularnewline
233 & 59 & 55.6559411103408 & 3.34405888965918 \tabularnewline
234 & 60 & 60.3023514436789 & -0.302351443678871 \tabularnewline
235 & 77 & 73.0500301326376 & 3.94996986736239 \tabularnewline
236 & 68 & 67.5264149357114 & 0.473585064288575 \tabularnewline
237 & 72 & 69.8741047016079 & 2.12589529839214 \tabularnewline
238 & 67 & 54.9457429645018 & 12.0542570354982 \tabularnewline
239 & 64 & 60.8366056694473 & 3.16339433055267 \tabularnewline
240 & 63 & 59.0343684701974 & 3.96563152980265 \tabularnewline
241 & 59 & 54.095574362076 & 4.90442563792405 \tabularnewline
242 & 84 & 84.3933243636781 & -0.393324363678112 \tabularnewline
243 & 64 & 60.1471689600091 & 3.85283103999095 \tabularnewline
244 & 56 & 53.9907941559017 & 2.00920584409835 \tabularnewline
245 & 54 & 56.942797616749 & -2.94279761674901 \tabularnewline
246 & 67 & 61.4981702847061 & 5.50182971529394 \tabularnewline
247 & 58 & 56.6555083632151 & 1.34449163678491 \tabularnewline
248 & 59 & 58.3105700931694 & 0.689429906830573 \tabularnewline
249 & 40 & 39.7428950175553 & 0.257104982444719 \tabularnewline
250 & 22 & 20.595207369112 & 1.40479263088797 \tabularnewline
251 & 83 & 83.428856774792 & -0.428856774791992 \tabularnewline
252 & 81 & 79.8282163910335 & 1.17178360896653 \tabularnewline
253 & 2 & 5.52124185935679 & -3.52124185935679 \tabularnewline
254 & 72 & 69.7269133417549 & 2.27308665824515 \tabularnewline
255 & 61 & 63.9867793686575 & -2.98677936865747 \tabularnewline
256 & 15 & 14.9723775717527 & 0.0276224282472808 \tabularnewline
257 & 32 & 37.0943039485581 & -5.09430394855809 \tabularnewline
258 & 62 & 59.22675284686 & 2.77324715314001 \tabularnewline
259 & 58 & 59.0589047908913 & -1.05890479089128 \tabularnewline
260 & 36 & 33.7867755646744 & 2.21322443532557 \tabularnewline
261 & 59 & 52.8608933321946 & 6.13910666780539 \tabularnewline
262 & 68 & 68.7085092622851 & -0.708509262285145 \tabularnewline
263 & 21 & 26.7757228865372 & -5.77572288653718 \tabularnewline
264 & 55 & 53.899136412773 & 1.10086358722702 \tabularnewline
265 & 54 & 55.7348668200223 & -1.73486682002227 \tabularnewline
266 & 55 & 52.1465699440936 & 2.85343005590641 \tabularnewline
267 & 72 & 69.126551055856 & 2.87344894414397 \tabularnewline
268 & 41 & 43.2161784521068 & -2.21617845210679 \tabularnewline
269 & 61 & 64.2354805263753 & -3.23548052637526 \tabularnewline
270 & 67 & 73.0787497660775 & -6.07874976607746 \tabularnewline
271 & 76 & 69.2549133706801 & 6.74508662931986 \tabularnewline
272 & 64 & 63.5928270170737 & 0.407172982926275 \tabularnewline
273 & 3 & 5.42893812577081 & -2.42893812577082 \tabularnewline
274 & 63 & 62.2880631589579 & 0.71193684104209 \tabularnewline
275 & 40 & 38.2341449821671 & 1.7658550178329 \tabularnewline
276 & 69 & 68.0927133342873 & 0.907286665712711 \tabularnewline
277 & 48 & 45.5550864993993 & 2.44491350060075 \tabularnewline
278 & 8 & 9.39801333865413 & -1.39801333865414 \tabularnewline
279 & 52 & 55.0678176842089 & -3.06781768420891 \tabularnewline
280 & 66 & 67.2379535780015 & -1.23795357800145 \tabularnewline
281 & 76 & 73.7851110282344 & 2.21488897176561 \tabularnewline
282 & 43 & 50.4140761852233 & -7.41407618522334 \tabularnewline
283 & 39 & 39.6724561031658 & -0.672456103165774 \tabularnewline
284 & 14 & 15.8420979764214 & -1.84209797642139 \tabularnewline
285 & 61 & 61.9290948816178 & -0.929094881617805 \tabularnewline
286 & 71 & 70.3180418060282 & 0.681958193971779 \tabularnewline
287 & 44 & 46.2668490042521 & -2.26684900425206 \tabularnewline
288 & 60 & 58.7178239614233 & 1.2821760385767 \tabularnewline
289 & 64 & 57.999689800774 & 6.00031019922598 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197691&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]115[/C][C]113.310094235794[/C][C]1.6899057642057[/C][/ROW]
[ROW][C]2[/C][C]109[/C][C]108.295450056302[/C][C]0.70454994369757[/C][/ROW]
[ROW][C]3[/C][C]146[/C][C]136.004751182878[/C][C]9.99524881712185[/C][/ROW]
[ROW][C]4[/C][C]116[/C][C]111.540642786414[/C][C]4.45935721358614[/C][/ROW]
[ROW][C]5[/C][C]68[/C][C]79.883160062801[/C][C]-11.883160062801[/C][/ROW]
[ROW][C]6[/C][C]101[/C][C]93.8731182509624[/C][C]7.12688174903759[/C][/ROW]
[ROW][C]7[/C][C]96[/C][C]94.3410718897883[/C][C]1.65892811021169[/C][/ROW]
[ROW][C]8[/C][C]67[/C][C]60.1073778669876[/C][C]6.8926221330124[/C][/ROW]
[ROW][C]9[/C][C]44[/C][C]44.2469613576074[/C][C]-0.24696135760743[/C][/ROW]
[ROW][C]10[/C][C]100[/C][C]97.6565988157826[/C][C]2.34340118421742[/C][/ROW]
[ROW][C]11[/C][C]93[/C][C]90.1910312869308[/C][C]2.80896871306918[/C][/ROW]
[ROW][C]12[/C][C]140[/C][C]143.284874285415[/C][C]-3.28487428541521[/C][/ROW]
[ROW][C]13[/C][C]166[/C][C]168.283424225078[/C][C]-2.28342422507776[/C][/ROW]
[ROW][C]14[/C][C]99[/C][C]111.081700057562[/C][C]-12.0817000575621[/C][/ROW]
[ROW][C]15[/C][C]139[/C][C]149.301337184049[/C][C]-10.3013371840493[/C][/ROW]
[ROW][C]16[/C][C]130[/C][C]119.990488333859[/C][C]10.009511666141[/C][/ROW]
[ROW][C]17[/C][C]181[/C][C]179.639282965988[/C][C]1.36071703401202[/C][/ROW]
[ROW][C]18[/C][C]116[/C][C]117.599933103949[/C][C]-1.59993310394857[/C][/ROW]
[ROW][C]19[/C][C]116[/C][C]109.365300503407[/C][C]6.63469949659342[/C][/ROW]
[ROW][C]20[/C][C]88[/C][C]85.0522555327401[/C][C]2.94774446725994[/C][/ROW]
[ROW][C]21[/C][C]139[/C][C]141.252801767724[/C][C]-2.25280176772424[/C][/ROW]
[ROW][C]22[/C][C]135[/C][C]135.902910233115[/C][C]-0.902910233114687[/C][/ROW]
[ROW][C]23[/C][C]108[/C][C]117.401366034719[/C][C]-9.40136603471882[/C][/ROW]
[ROW][C]24[/C][C]89[/C][C]95.8435639849554[/C][C]-6.84356398495536[/C][/ROW]
[ROW][C]25[/C][C]156[/C][C]153.419151693721[/C][C]2.580848306279[/C][/ROW]
[ROW][C]26[/C][C]129[/C][C]128.584787117711[/C][C]0.415212882289246[/C][/ROW]
[ROW][C]27[/C][C]118[/C][C]118.614473647116[/C][C]-0.614473647116371[/C][/ROW]
[ROW][C]28[/C][C]118[/C][C]114.545709102489[/C][C]3.45429089751149[/C][/ROW]
[ROW][C]29[/C][C]125[/C][C]129.603992482175[/C][C]-4.60399248217508[/C][/ROW]
[ROW][C]30[/C][C]95[/C][C]94.8286220761056[/C][C]0.171377923894353[/C][/ROW]
[ROW][C]31[/C][C]126[/C][C]123.829336154054[/C][C]2.17066384594643[/C][/ROW]
[ROW][C]32[/C][C]135[/C][C]135.737143132507[/C][C]-0.737143132507209[/C][/ROW]
[ROW][C]33[/C][C]154[/C][C]154.232340163222[/C][C]-0.23234016322208[/C][/ROW]
[ROW][C]34[/C][C]165[/C][C]167.045868520583[/C][C]-2.04586852058262[/C][/ROW]
[ROW][C]35[/C][C]113[/C][C]116.025526457291[/C][C]-3.02552645729099[/C][/ROW]
[ROW][C]36[/C][C]127[/C][C]128.239318503707[/C][C]-1.23931850370711[/C][/ROW]
[ROW][C]37[/C][C]52[/C][C]50.429636838576[/C][C]1.57036316142399[/C][/ROW]
[ROW][C]38[/C][C]121[/C][C]117.184303583406[/C][C]3.81569641659407[/C][/ROW]
[ROW][C]39[/C][C]136[/C][C]139.346505423078[/C][C]-3.34650542307839[/C][/ROW]
[ROW][C]40[/C][C]0[/C][C]2.26602343853419[/C][C]-2.26602343853419[/C][/ROW]
[ROW][C]41[/C][C]108[/C][C]101.704338558315[/C][C]6.2956614416847[/C][/ROW]
[ROW][C]42[/C][C]46[/C][C]53.0573970876013[/C][C]-7.05739708760132[/C][/ROW]
[ROW][C]43[/C][C]54[/C][C]61.1822006237275[/C][C]-7.18220062372747[/C][/ROW]
[ROW][C]44[/C][C]124[/C][C]125.486730898516[/C][C]-1.48673089851551[/C][/ROW]
[ROW][C]45[/C][C]115[/C][C]110.575861102989[/C][C]4.42413889701091[/C][/ROW]
[ROW][C]46[/C][C]128[/C][C]127.091030182248[/C][C]0.908969817751924[/C][/ROW]
[ROW][C]47[/C][C]80[/C][C]78.9588037792573[/C][C]1.04119622074267[/C][/ROW]
[ROW][C]48[/C][C]97[/C][C]104.696659845248[/C][C]-7.69665984524846[/C][/ROW]
[ROW][C]49[/C][C]104[/C][C]103.965881994616[/C][C]0.03411800538378[/C][/ROW]
[ROW][C]50[/C][C]59[/C][C]119.152170629841[/C][C]-60.1521706298408[/C][/ROW]
[ROW][C]51[/C][C]125[/C][C]123.130551217813[/C][C]1.86944878218678[/C][/ROW]
[ROW][C]52[/C][C]82[/C][C]93.1653354899377[/C][C]-11.1653354899377[/C][/ROW]
[ROW][C]53[/C][C]149[/C][C]149.887443418293[/C][C]-0.88744341829314[/C][/ROW]
[ROW][C]54[/C][C]149[/C][C]146.060990351046[/C][C]2.93900964895428[/C][/ROW]
[ROW][C]55[/C][C]122[/C][C]123.804826426319[/C][C]-1.80482642631853[/C][/ROW]
[ROW][C]56[/C][C]118[/C][C]108.491881938892[/C][C]9.50811806110811[/C][/ROW]
[ROW][C]57[/C][C]12[/C][C]14.8396630995299[/C][C]-2.83966309952986[/C][/ROW]
[ROW][C]58[/C][C]144[/C][C]153.221795380029[/C][C]-9.22179538002885[/C][/ROW]
[ROW][C]59[/C][C]67[/C][C]69.4415055803583[/C][C]-2.44150558035834[/C][/ROW]
[ROW][C]60[/C][C]52[/C][C]52.4318437432609[/C][C]-0.43184374326092[/C][/ROW]
[ROW][C]61[/C][C]108[/C][C]109.028274793792[/C][C]-1.02827479379154[/C][/ROW]
[ROW][C]62[/C][C]166[/C][C]171.103207049104[/C][C]-5.10320704910414[/C][/ROW]
[ROW][C]63[/C][C]80[/C][C]83.9851351430651[/C][C]-3.98513514306506[/C][/ROW]
[ROW][C]64[/C][C]60[/C][C]60.9119049850919[/C][C]-0.911904985091864[/C][/ROW]
[ROW][C]65[/C][C]107[/C][C]107.507091891796[/C][C]-0.507091891796035[/C][/ROW]
[ROW][C]66[/C][C]127[/C][C]134.461910632851[/C][C]-7.4619106328508[/C][/ROW]
[ROW][C]67[/C][C]107[/C][C]109.534238402813[/C][C]-2.53423840281329[/C][/ROW]
[ROW][C]68[/C][C]146[/C][C]144.508593891314[/C][C]1.49140610868592[/C][/ROW]
[ROW][C]69[/C][C]84[/C][C]82.3259642518949[/C][C]1.67403574810513[/C][/ROW]
[ROW][C]70[/C][C]141[/C][C]124.178966359134[/C][C]16.8210336408656[/C][/ROW]
[ROW][C]71[/C][C]123[/C][C]123.308401807643[/C][C]-0.308401807643223[/C][/ROW]
[ROW][C]72[/C][C]111[/C][C]110.015560086644[/C][C]0.984439913355786[/C][/ROW]
[ROW][C]73[/C][C]98[/C][C]93.8351797278934[/C][C]4.16482027210663[/C][/ROW]
[ROW][C]74[/C][C]105[/C][C]106.285224208738[/C][C]-1.28522420873782[/C][/ROW]
[ROW][C]75[/C][C]135[/C][C]135.712189948775[/C][C]-0.712189948774808[/C][/ROW]
[ROW][C]76[/C][C]107[/C][C]105.844173110323[/C][C]1.15582688967696[/C][/ROW]
[ROW][C]77[/C][C]85[/C][C]87.421314965454[/C][C]-2.421314965454[/C][/ROW]
[ROW][C]78[/C][C]155[/C][C]152.722125476718[/C][C]2.27787452328222[/C][/ROW]
[ROW][C]79[/C][C]88[/C][C]84.9236245144774[/C][C]3.07637548552261[/C][/ROW]
[ROW][C]80[/C][C]155[/C][C]156.175901065565[/C][C]-1.17590106556549[/C][/ROW]
[ROW][C]81[/C][C]104[/C][C]100.208378650655[/C][C]3.79162134934539[/C][/ROW]
[ROW][C]82[/C][C]132[/C][C]130.813965896425[/C][C]1.18603410357457[/C][/ROW]
[ROW][C]83[/C][C]127[/C][C]127.570407187123[/C][C]-0.570407187122604[/C][/ROW]
[ROW][C]84[/C][C]108[/C][C]109.418389555353[/C][C]-1.41838955535266[/C][/ROW]
[ROW][C]85[/C][C]129[/C][C]125.151400259507[/C][C]3.84859974049337[/C][/ROW]
[ROW][C]86[/C][C]116[/C][C]116.785133306239[/C][C]-0.785133306238752[/C][/ROW]
[ROW][C]87[/C][C]122[/C][C]122.039424662527[/C][C]-0.0394246625271761[/C][/ROW]
[ROW][C]88[/C][C]85[/C][C]82.697247183181[/C][C]2.30275281681899[/C][/ROW]
[ROW][C]89[/C][C]147[/C][C]142.425413798522[/C][C]4.57458620147848[/C][/ROW]
[ROW][C]90[/C][C]99[/C][C]100.567613528861[/C][C]-1.56761352886055[/C][/ROW]
[ROW][C]91[/C][C]87[/C][C]123.876370933843[/C][C]-36.8763709338427[/C][/ROW]
[ROW][C]92[/C][C]28[/C][C]30.1431923747285[/C][C]-2.14319237472849[/C][/ROW]
[ROW][C]93[/C][C]90[/C][C]86.8181469622568[/C][C]3.18185303774315[/C][/ROW]
[ROW][C]94[/C][C]109[/C][C]113.27041591628[/C][C]-4.27041591627967[/C][/ROW]
[ROW][C]95[/C][C]78[/C][C]79.6612206256684[/C][C]-1.66122062566837[/C][/ROW]
[ROW][C]96[/C][C]111[/C][C]110.873162173697[/C][C]0.126837826302868[/C][/ROW]
[ROW][C]97[/C][C]158[/C][C]157.165834743812[/C][C]0.834165256188059[/C][/ROW]
[ROW][C]98[/C][C]141[/C][C]139.388368859575[/C][C]1.61163114042511[/C][/ROW]
[ROW][C]99[/C][C]122[/C][C]116.753099593581[/C][C]5.246900406419[/C][/ROW]
[ROW][C]100[/C][C]124[/C][C]128.385730786371[/C][C]-4.38573078637102[/C][/ROW]
[ROW][C]101[/C][C]93[/C][C]92.897209434736[/C][C]0.102790565264013[/C][/ROW]
[ROW][C]102[/C][C]124[/C][C]124.370671449357[/C][C]-0.370671449357329[/C][/ROW]
[ROW][C]103[/C][C]112[/C][C]111.041920533261[/C][C]0.958079466738891[/C][/ROW]
[ROW][C]104[/C][C]108[/C][C]108.711061195418[/C][C]-0.7110611954181[/C][/ROW]
[ROW][C]105[/C][C]99[/C][C]106.816157478586[/C][C]-7.81615747858606[/C][/ROW]
[ROW][C]106[/C][C]117[/C][C]113.561701901263[/C][C]3.43829809873656[/C][/ROW]
[ROW][C]107[/C][C]199[/C][C]201.996696207431[/C][C]-2.99669620743057[/C][/ROW]
[ROW][C]108[/C][C]78[/C][C]72.9538962300311[/C][C]5.04610376996891[/C][/ROW]
[ROW][C]109[/C][C]91[/C][C]91.5365566635456[/C][C]-0.536556663545623[/C][/ROW]
[ROW][C]110[/C][C]158[/C][C]156.606940369249[/C][C]1.39305963075096[/C][/ROW]
[ROW][C]111[/C][C]126[/C][C]122.893092356448[/C][C]3.10690764355186[/C][/ROW]
[ROW][C]112[/C][C]122[/C][C]109.226165714537[/C][C]12.7738342854625[/C][/ROW]
[ROW][C]113[/C][C]71[/C][C]72.144376729763[/C][C]-1.14437672976298[/C][/ROW]
[ROW][C]114[/C][C]75[/C][C]68.9273168585153[/C][C]6.07268314148475[/C][/ROW]
[ROW][C]115[/C][C]115[/C][C]107.632365390386[/C][C]7.36763460961406[/C][/ROW]
[ROW][C]116[/C][C]119[/C][C]112.943465698094[/C][C]6.0565343019062[/C][/ROW]
[ROW][C]117[/C][C]124[/C][C]122.064043451126[/C][C]1.93595654887361[/C][/ROW]
[ROW][C]118[/C][C]72[/C][C]71.2836047348636[/C][C]0.716395265136372[/C][/ROW]
[ROW][C]119[/C][C]91[/C][C]81.7086917824685[/C][C]9.29130821753147[/C][/ROW]
[ROW][C]120[/C][C]45[/C][C]61.0257073346804[/C][C]-16.0257073346805[/C][/ROW]
[ROW][C]121[/C][C]78[/C][C]74.5539820871653[/C][C]3.44601791283467[/C][/ROW]
[ROW][C]122[/C][C]39[/C][C]42.6200106227188[/C][C]-3.62001062271876[/C][/ROW]
[ROW][C]123[/C][C]68[/C][C]65.9084767501995[/C][C]2.09152324980051[/C][/ROW]
[ROW][C]124[/C][C]119[/C][C]110.316684412612[/C][C]8.68331558738795[/C][/ROW]
[ROW][C]125[/C][C]117[/C][C]120.450746126751[/C][C]-3.45074612675099[/C][/ROW]
[ROW][C]126[/C][C]39[/C][C]41.4509986507644[/C][C]-2.45099865076437[/C][/ROW]
[ROW][C]127[/C][C]50[/C][C]50.8067376944853[/C][C]-0.806737694485329[/C][/ROW]
[ROW][C]128[/C][C]88[/C][C]87.9147548998745[/C][C]0.0852451001255187[/C][/ROW]
[ROW][C]129[/C][C]155[/C][C]153.984540883725[/C][C]1.01545911627469[/C][/ROW]
[ROW][C]130[/C][C]0[/C][C]5.15009358718902[/C][C]-5.15009358718902[/C][/ROW]
[ROW][C]131[/C][C]36[/C][C]35.1738809680268[/C][C]0.826119031973171[/C][/ROW]
[ROW][C]132[/C][C]123[/C][C]116.00689009874[/C][C]6.99310990125958[/C][/ROW]
[ROW][C]133[/C][C]32[/C][C]42.1765904886796[/C][C]-10.1765904886796[/C][/ROW]
[ROW][C]134[/C][C]99[/C][C]93.5276596592118[/C][C]5.47234034078824[/C][/ROW]
[ROW][C]135[/C][C]136[/C][C]132.996014267011[/C][C]3.00398573298896[/C][/ROW]
[ROW][C]136[/C][C]117[/C][C]112.331394041059[/C][C]4.66860595894127[/C][/ROW]
[ROW][C]137[/C][C]0[/C][C]2.20101536680053[/C][C]-2.20101536680053[/C][/ROW]
[ROW][C]138[/C][C]88[/C][C]86.0519626556443[/C][C]1.9480373443557[/C][/ROW]
[ROW][C]139[/C][C]39[/C][C]45.875952653224[/C][C]-6.87595265322404[/C][/ROW]
[ROW][C]140[/C][C]25[/C][C]27.3254068202081[/C][C]-2.32540682020809[/C][/ROW]
[ROW][C]141[/C][C]52[/C][C]47.8889697158764[/C][C]4.11103028412361[/C][/ROW]
[ROW][C]142[/C][C]75[/C][C]71.8098982652274[/C][C]3.19010173477256[/C][/ROW]
[ROW][C]143[/C][C]71[/C][C]66.4058716509917[/C][C]4.59412834900832[/C][/ROW]
[ROW][C]144[/C][C]124[/C][C]125.363298967318[/C][C]-1.36329896731752[/C][/ROW]
[ROW][C]145[/C][C]151[/C][C]153.126857188323[/C][C]-2.12685718832302[/C][/ROW]
[ROW][C]146[/C][C]71[/C][C]77.7464681852197[/C][C]-6.7464681852197[/C][/ROW]
[ROW][C]147[/C][C]145[/C][C]142.524558275106[/C][C]2.47544172489451[/C][/ROW]
[ROW][C]148[/C][C]87[/C][C]86.3124334938776[/C][C]0.687566506122386[/C][/ROW]
[ROW][C]149[/C][C]27[/C][C]29.685966044377[/C][C]-2.68596604437702[/C][/ROW]
[ROW][C]150[/C][C]131[/C][C]133.36892779822[/C][C]-2.36892779822017[/C][/ROW]
[ROW][C]151[/C][C]162[/C][C]164.548855385009[/C][C]-2.54885538500931[/C][/ROW]
[ROW][C]152[/C][C]165[/C][C]161.421955468117[/C][C]3.57804453188316[/C][/ROW]
[ROW][C]153[/C][C]54[/C][C]52.6638258785315[/C][C]1.33617412146855[/C][/ROW]
[ROW][C]154[/C][C]159[/C][C]154.960478578008[/C][C]4.03952142199231[/C][/ROW]
[ROW][C]155[/C][C]147[/C][C]142.017955209003[/C][C]4.98204479099697[/C][/ROW]
[ROW][C]156[/C][C]170[/C][C]171.318308528421[/C][C]-1.3183085284213[/C][/ROW]
[ROW][C]157[/C][C]119[/C][C]119.922035154767[/C][C]-0.92203515476696[/C][/ROW]
[ROW][C]158[/C][C]49[/C][C]48.8066262872558[/C][C]0.193373712744221[/C][/ROW]
[ROW][C]159[/C][C]104[/C][C]101.565089921561[/C][C]2.4349100784392[/C][/ROW]
[ROW][C]160[/C][C]120[/C][C]123.269602202295[/C][C]-3.26960220229466[/C][/ROW]
[ROW][C]161[/C][C]150[/C][C]152.440388106061[/C][C]-2.44038810606119[/C][/ROW]
[ROW][C]162[/C][C]112[/C][C]112.719630102688[/C][C]-0.719630102687737[/C][/ROW]
[ROW][C]163[/C][C]59[/C][C]62.9926365880933[/C][C]-3.99263658809333[/C][/ROW]
[ROW][C]164[/C][C]136[/C][C]139.770720924614[/C][C]-3.77072092461389[/C][/ROW]
[ROW][C]165[/C][C]107[/C][C]109.153125995156[/C][C]-2.15312599515608[/C][/ROW]
[ROW][C]166[/C][C]130[/C][C]133.246745689282[/C][C]-3.24674568928185[/C][/ROW]
[ROW][C]167[/C][C]115[/C][C]116.83608331362[/C][C]-1.83608331361992[/C][/ROW]
[ROW][C]168[/C][C]107[/C][C]90.494098652229[/C][C]16.505901347771[/C][/ROW]
[ROW][C]169[/C][C]75[/C][C]74.3620271295218[/C][C]0.637972870478184[/C][/ROW]
[ROW][C]170[/C][C]71[/C][C]71.4030484072831[/C][C]-0.403048407283104[/C][/ROW]
[ROW][C]171[/C][C]120[/C][C]114.620062762033[/C][C]5.37993723796663[/C][/ROW]
[ROW][C]172[/C][C]116[/C][C]116.880218125137[/C][C]-0.880218125137317[/C][/ROW]
[ROW][C]173[/C][C]79[/C][C]83.6057863888355[/C][C]-4.60578638883547[/C][/ROW]
[ROW][C]174[/C][C]150[/C][C]146.624344158998[/C][C]3.37565584100248[/C][/ROW]
[ROW][C]175[/C][C]156[/C][C]156.269404739342[/C][C]-0.269404739341908[/C][/ROW]
[ROW][C]176[/C][C]51[/C][C]48.5624137114928[/C][C]2.43758628850717[/C][/ROW]
[ROW][C]177[/C][C]118[/C][C]118.494654813844[/C][C]-0.494654813843586[/C][/ROW]
[ROW][C]178[/C][C]71[/C][C]68.5045556772184[/C][C]2.49544432278158[/C][/ROW]
[ROW][C]179[/C][C]144[/C][C]148.632023803052[/C][C]-4.63202380305167[/C][/ROW]
[ROW][C]180[/C][C]47[/C][C]54.5599701900283[/C][C]-7.55997019002834[/C][/ROW]
[ROW][C]181[/C][C]28[/C][C]27.4712905194809[/C][C]0.528709480519106[/C][/ROW]
[ROW][C]182[/C][C]68[/C][C]63.4171740085188[/C][C]4.58282599148117[/C][/ROW]
[ROW][C]183[/C][C]0[/C][C]2.20893460871615[/C][C]-2.20893460871615[/C][/ROW]
[ROW][C]184[/C][C]110[/C][C]107.924365802953[/C][C]2.07563419704674[/C][/ROW]
[ROW][C]185[/C][C]147[/C][C]132.685405737002[/C][C]14.3145942629978[/C][/ROW]
[ROW][C]186[/C][C]0[/C][C]2.13854848687715[/C][C]-2.13854848687715[/C][/ROW]
[ROW][C]187[/C][C]15[/C][C]19.3621384770723[/C][C]-4.36213847707229[/C][/ROW]
[ROW][C]188[/C][C]4[/C][C]6.15804975777228[/C][C]-2.15804975777228[/C][/ROW]
[ROW][C]189[/C][C]64[/C][C]62.5909506540881[/C][C]1.40904934591188[/C][/ROW]
[ROW][C]190[/C][C]111[/C][C]108.732990134886[/C][C]2.26700986511394[/C][/ROW]
[ROW][C]191[/C][C]85[/C][C]84.656979235288[/C][C]0.34302076471203[/C][/ROW]
[ROW][C]192[/C][C]68[/C][C]62.9028210032552[/C][C]5.09717899674477[/C][/ROW]
[ROW][C]193[/C][C]40[/C][C]41.8196771427118[/C][C]-1.81967714271184[/C][/ROW]
[ROW][C]194[/C][C]80[/C][C]87.5610879967632[/C][C]-7.56108799676319[/C][/ROW]
[ROW][C]195[/C][C]88[/C][C]86.7503459357131[/C][C]1.24965406428693[/C][/ROW]
[ROW][C]196[/C][C]48[/C][C]48.3887619999782[/C][C]-0.388761999978199[/C][/ROW]
[ROW][C]197[/C][C]76[/C][C]72.994346099303[/C][C]3.00565390069695[/C][/ROW]
[ROW][C]198[/C][C]51[/C][C]50.4044591058541[/C][C]0.595540894145854[/C][/ROW]
[ROW][C]199[/C][C]67[/C][C]61.4324639859697[/C][C]5.56753601403031[/C][/ROW]
[ROW][C]200[/C][C]59[/C][C]59.5350420036208[/C][C]-0.535042003620828[/C][/ROW]
[ROW][C]201[/C][C]61[/C][C]61.4850761035566[/C][C]-0.485076103556582[/C][/ROW]
[ROW][C]202[/C][C]76[/C][C]83.6171646128901[/C][C]-7.61716461289008[/C][/ROW]
[ROW][C]203[/C][C]60[/C][C]61.1378816153998[/C][C]-1.1378816153998[/C][/ROW]
[ROW][C]204[/C][C]68[/C][C]67.1794307910957[/C][C]0.820569208904316[/C][/ROW]
[ROW][C]205[/C][C]71[/C][C]66.5057925674433[/C][C]4.4942074325567[/C][/ROW]
[ROW][C]206[/C][C]76[/C][C]69.928015403875[/C][C]6.07198459612505[/C][/ROW]
[ROW][C]207[/C][C]62[/C][C]62.4055435868169[/C][C]-0.405543586816904[/C][/ROW]
[ROW][C]208[/C][C]61[/C][C]63.6338452095025[/C][C]-2.63384520950249[/C][/ROW]
[ROW][C]209[/C][C]67[/C][C]68.6972135245291[/C][C]-1.69721352452906[/C][/ROW]
[ROW][C]210[/C][C]88[/C][C]87.5150979236721[/C][C]0.484902076327862[/C][/ROW]
[ROW][C]211[/C][C]30[/C][C]31.6790121913168[/C][C]-1.67901219131677[/C][/ROW]
[ROW][C]212[/C][C]64[/C][C]66.0088255171725[/C][C]-2.00882551717252[/C][/ROW]
[ROW][C]213[/C][C]68[/C][C]66.6318711982672[/C][C]1.36812880173275[/C][/ROW]
[ROW][C]214[/C][C]64[/C][C]64.0364745058188[/C][C]-0.036474505818789[/C][/ROW]
[ROW][C]215[/C][C]91[/C][C]83.1126500776308[/C][C]7.88734992236924[/C][/ROW]
[ROW][C]216[/C][C]88[/C][C]85.8835624242145[/C][C]2.11643757578549[/C][/ROW]
[ROW][C]217[/C][C]52[/C][C]49.378316986996[/C][C]2.62168301300402[/C][/ROW]
[ROW][C]218[/C][C]49[/C][C]49.2509451975235[/C][C]-0.250945197523517[/C][/ROW]
[ROW][C]219[/C][C]62[/C][C]59.0848164250731[/C][C]2.9151835749269[/C][/ROW]
[ROW][C]220[/C][C]61[/C][C]62.8811955609925[/C][C]-1.88119556099252[/C][/ROW]
[ROW][C]221[/C][C]76[/C][C]76.6882885803174[/C][C]-0.688288580317372[/C][/ROW]
[ROW][C]222[/C][C]88[/C][C]84.948803654546[/C][C]3.05119634545404[/C][/ROW]
[ROW][C]223[/C][C]66[/C][C]62.1600745150908[/C][C]3.83992548490925[/C][/ROW]
[ROW][C]224[/C][C]71[/C][C]68.6330611725382[/C][C]2.36693882746176[/C][/ROW]
[ROW][C]225[/C][C]68[/C][C]62.0760219933755[/C][C]5.92397800662452[/C][/ROW]
[ROW][C]226[/C][C]48[/C][C]44.8658259449426[/C][C]3.13417405505737[/C][/ROW]
[ROW][C]227[/C][C]25[/C][C]23.4942656980146[/C][C]1.50573430198535[/C][/ROW]
[ROW][C]228[/C][C]68[/C][C]65.988357226805[/C][C]2.01164277319501[/C][/ROW]
[ROW][C]229[/C][C]41[/C][C]50.6241650085656[/C][C]-9.62416500856558[/C][/ROW]
[ROW][C]230[/C][C]90[/C][C]87.3081520637522[/C][C]2.69184793624777[/C][/ROW]
[ROW][C]231[/C][C]66[/C][C]63.2007047139586[/C][C]2.79929528604137[/C][/ROW]
[ROW][C]232[/C][C]54[/C][C]53.1202518190986[/C][C]0.879748180901382[/C][/ROW]
[ROW][C]233[/C][C]59[/C][C]55.6559411103408[/C][C]3.34405888965918[/C][/ROW]
[ROW][C]234[/C][C]60[/C][C]60.3023514436789[/C][C]-0.302351443678871[/C][/ROW]
[ROW][C]235[/C][C]77[/C][C]73.0500301326376[/C][C]3.94996986736239[/C][/ROW]
[ROW][C]236[/C][C]68[/C][C]67.5264149357114[/C][C]0.473585064288575[/C][/ROW]
[ROW][C]237[/C][C]72[/C][C]69.8741047016079[/C][C]2.12589529839214[/C][/ROW]
[ROW][C]238[/C][C]67[/C][C]54.9457429645018[/C][C]12.0542570354982[/C][/ROW]
[ROW][C]239[/C][C]64[/C][C]60.8366056694473[/C][C]3.16339433055267[/C][/ROW]
[ROW][C]240[/C][C]63[/C][C]59.0343684701974[/C][C]3.96563152980265[/C][/ROW]
[ROW][C]241[/C][C]59[/C][C]54.095574362076[/C][C]4.90442563792405[/C][/ROW]
[ROW][C]242[/C][C]84[/C][C]84.3933243636781[/C][C]-0.393324363678112[/C][/ROW]
[ROW][C]243[/C][C]64[/C][C]60.1471689600091[/C][C]3.85283103999095[/C][/ROW]
[ROW][C]244[/C][C]56[/C][C]53.9907941559017[/C][C]2.00920584409835[/C][/ROW]
[ROW][C]245[/C][C]54[/C][C]56.942797616749[/C][C]-2.94279761674901[/C][/ROW]
[ROW][C]246[/C][C]67[/C][C]61.4981702847061[/C][C]5.50182971529394[/C][/ROW]
[ROW][C]247[/C][C]58[/C][C]56.6555083632151[/C][C]1.34449163678491[/C][/ROW]
[ROW][C]248[/C][C]59[/C][C]58.3105700931694[/C][C]0.689429906830573[/C][/ROW]
[ROW][C]249[/C][C]40[/C][C]39.7428950175553[/C][C]0.257104982444719[/C][/ROW]
[ROW][C]250[/C][C]22[/C][C]20.595207369112[/C][C]1.40479263088797[/C][/ROW]
[ROW][C]251[/C][C]83[/C][C]83.428856774792[/C][C]-0.428856774791992[/C][/ROW]
[ROW][C]252[/C][C]81[/C][C]79.8282163910335[/C][C]1.17178360896653[/C][/ROW]
[ROW][C]253[/C][C]2[/C][C]5.52124185935679[/C][C]-3.52124185935679[/C][/ROW]
[ROW][C]254[/C][C]72[/C][C]69.7269133417549[/C][C]2.27308665824515[/C][/ROW]
[ROW][C]255[/C][C]61[/C][C]63.9867793686575[/C][C]-2.98677936865747[/C][/ROW]
[ROW][C]256[/C][C]15[/C][C]14.9723775717527[/C][C]0.0276224282472808[/C][/ROW]
[ROW][C]257[/C][C]32[/C][C]37.0943039485581[/C][C]-5.09430394855809[/C][/ROW]
[ROW][C]258[/C][C]62[/C][C]59.22675284686[/C][C]2.77324715314001[/C][/ROW]
[ROW][C]259[/C][C]58[/C][C]59.0589047908913[/C][C]-1.05890479089128[/C][/ROW]
[ROW][C]260[/C][C]36[/C][C]33.7867755646744[/C][C]2.21322443532557[/C][/ROW]
[ROW][C]261[/C][C]59[/C][C]52.8608933321946[/C][C]6.13910666780539[/C][/ROW]
[ROW][C]262[/C][C]68[/C][C]68.7085092622851[/C][C]-0.708509262285145[/C][/ROW]
[ROW][C]263[/C][C]21[/C][C]26.7757228865372[/C][C]-5.77572288653718[/C][/ROW]
[ROW][C]264[/C][C]55[/C][C]53.899136412773[/C][C]1.10086358722702[/C][/ROW]
[ROW][C]265[/C][C]54[/C][C]55.7348668200223[/C][C]-1.73486682002227[/C][/ROW]
[ROW][C]266[/C][C]55[/C][C]52.1465699440936[/C][C]2.85343005590641[/C][/ROW]
[ROW][C]267[/C][C]72[/C][C]69.126551055856[/C][C]2.87344894414397[/C][/ROW]
[ROW][C]268[/C][C]41[/C][C]43.2161784521068[/C][C]-2.21617845210679[/C][/ROW]
[ROW][C]269[/C][C]61[/C][C]64.2354805263753[/C][C]-3.23548052637526[/C][/ROW]
[ROW][C]270[/C][C]67[/C][C]73.0787497660775[/C][C]-6.07874976607746[/C][/ROW]
[ROW][C]271[/C][C]76[/C][C]69.2549133706801[/C][C]6.74508662931986[/C][/ROW]
[ROW][C]272[/C][C]64[/C][C]63.5928270170737[/C][C]0.407172982926275[/C][/ROW]
[ROW][C]273[/C][C]3[/C][C]5.42893812577081[/C][C]-2.42893812577082[/C][/ROW]
[ROW][C]274[/C][C]63[/C][C]62.2880631589579[/C][C]0.71193684104209[/C][/ROW]
[ROW][C]275[/C][C]40[/C][C]38.2341449821671[/C][C]1.7658550178329[/C][/ROW]
[ROW][C]276[/C][C]69[/C][C]68.0927133342873[/C][C]0.907286665712711[/C][/ROW]
[ROW][C]277[/C][C]48[/C][C]45.5550864993993[/C][C]2.44491350060075[/C][/ROW]
[ROW][C]278[/C][C]8[/C][C]9.39801333865413[/C][C]-1.39801333865414[/C][/ROW]
[ROW][C]279[/C][C]52[/C][C]55.0678176842089[/C][C]-3.06781768420891[/C][/ROW]
[ROW][C]280[/C][C]66[/C][C]67.2379535780015[/C][C]-1.23795357800145[/C][/ROW]
[ROW][C]281[/C][C]76[/C][C]73.7851110282344[/C][C]2.21488897176561[/C][/ROW]
[ROW][C]282[/C][C]43[/C][C]50.4140761852233[/C][C]-7.41407618522334[/C][/ROW]
[ROW][C]283[/C][C]39[/C][C]39.6724561031658[/C][C]-0.672456103165774[/C][/ROW]
[ROW][C]284[/C][C]14[/C][C]15.8420979764214[/C][C]-1.84209797642139[/C][/ROW]
[ROW][C]285[/C][C]61[/C][C]61.9290948816178[/C][C]-0.929094881617805[/C][/ROW]
[ROW][C]286[/C][C]71[/C][C]70.3180418060282[/C][C]0.681958193971779[/C][/ROW]
[ROW][C]287[/C][C]44[/C][C]46.2668490042521[/C][C]-2.26684900425206[/C][/ROW]
[ROW][C]288[/C][C]60[/C][C]58.7178239614233[/C][C]1.2821760385767[/C][/ROW]
[ROW][C]289[/C][C]64[/C][C]57.999689800774[/C][C]6.00031019922598[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197691&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197691&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
1115113.3100942357941.6899057642057
2109108.2954500563020.70454994369757
3146136.0047511828789.99524881712185
4116111.5406427864144.45935721358614
56879.883160062801-11.883160062801
610193.87311825096247.12688174903759
79694.34107188978831.65892811021169
86760.10737786698766.8926221330124
94444.2469613576074-0.24696135760743
1010097.65659881578262.34340118421742
119390.19103128693082.80896871306918
12140143.284874285415-3.28487428541521
13166168.283424225078-2.28342422507776
1499111.081700057562-12.0817000575621
15139149.301337184049-10.3013371840493
16130119.99048833385910.009511666141
17181179.6392829659881.36071703401202
18116117.599933103949-1.59993310394857
19116109.3653005034076.63469949659342
208885.05225553274012.94774446725994
21139141.252801767724-2.25280176772424
22135135.902910233115-0.902910233114687
23108117.401366034719-9.40136603471882
248995.8435639849554-6.84356398495536
25156153.4191516937212.580848306279
26129128.5847871177110.415212882289246
27118118.614473647116-0.614473647116371
28118114.5457091024893.45429089751149
29125129.603992482175-4.60399248217508
309594.82862207610560.171377923894353
31126123.8293361540542.17066384594643
32135135.737143132507-0.737143132507209
33154154.232340163222-0.23234016322208
34165167.045868520583-2.04586852058262
35113116.025526457291-3.02552645729099
36127128.239318503707-1.23931850370711
375250.4296368385761.57036316142399
38121117.1843035834063.81569641659407
39136139.346505423078-3.34650542307839
4002.26602343853419-2.26602343853419
41108101.7043385583156.2956614416847
424653.0573970876013-7.05739708760132
435461.1822006237275-7.18220062372747
44124125.486730898516-1.48673089851551
45115110.5758611029894.42413889701091
46128127.0910301822480.908969817751924
478078.95880377925731.04119622074267
4897104.696659845248-7.69665984524846
49104103.9658819946160.03411800538378
5059119.152170629841-60.1521706298408
51125123.1305512178131.86944878218678
528293.1653354899377-11.1653354899377
53149149.887443418293-0.88744341829314
54149146.0609903510462.93900964895428
55122123.804826426319-1.80482642631853
56118108.4918819388929.50811806110811
571214.8396630995299-2.83966309952986
58144153.221795380029-9.22179538002885
596769.4415055803583-2.44150558035834
605252.4318437432609-0.43184374326092
61108109.028274793792-1.02827479379154
62166171.103207049104-5.10320704910414
638083.9851351430651-3.98513514306506
646060.9119049850919-0.911904985091864
65107107.507091891796-0.507091891796035
66127134.461910632851-7.4619106328508
67107109.534238402813-2.53423840281329
68146144.5085938913141.49140610868592
698482.32596425189491.67403574810513
70141124.17896635913416.8210336408656
71123123.308401807643-0.308401807643223
72111110.0155600866440.984439913355786
739893.83517972789344.16482027210663
74105106.285224208738-1.28522420873782
75135135.712189948775-0.712189948774808
76107105.8441731103231.15582688967696
778587.421314965454-2.421314965454
78155152.7221254767182.27787452328222
798884.92362451447743.07637548552261
80155156.175901065565-1.17590106556549
81104100.2083786506553.79162134934539
82132130.8139658964251.18603410357457
83127127.570407187123-0.570407187122604
84108109.418389555353-1.41838955535266
85129125.1514002595073.84859974049337
86116116.785133306239-0.785133306238752
87122122.039424662527-0.0394246625271761
888582.6972471831812.30275281681899
89147142.4254137985224.57458620147848
9099100.567613528861-1.56761352886055
9187123.876370933843-36.8763709338427
922830.1431923747285-2.14319237472849
939086.81814696225683.18185303774315
94109113.27041591628-4.27041591627967
957879.6612206256684-1.66122062566837
96111110.8731621736970.126837826302868
97158157.1658347438120.834165256188059
98141139.3883688595751.61163114042511
99122116.7530995935815.246900406419
100124128.385730786371-4.38573078637102
1019392.8972094347360.102790565264013
102124124.370671449357-0.370671449357329
103112111.0419205332610.958079466738891
104108108.711061195418-0.7110611954181
10599106.816157478586-7.81615747858606
106117113.5617019012633.43829809873656
107199201.996696207431-2.99669620743057
1087872.95389623003115.04610376996891
1099191.5365566635456-0.536556663545623
110158156.6069403692491.39305963075096
111126122.8930923564483.10690764355186
112122109.22616571453712.7738342854625
1137172.144376729763-1.14437672976298
1147568.92731685851536.07268314148475
115115107.6323653903867.36763460961406
116119112.9434656980946.0565343019062
117124122.0640434511261.93595654887361
1187271.28360473486360.716395265136372
1199181.70869178246859.29130821753147
1204561.0257073346804-16.0257073346805
1217874.55398208716533.44601791283467
1223942.6200106227188-3.62001062271876
1236865.90847675019952.09152324980051
124119110.3166844126128.68331558738795
125117120.450746126751-3.45074612675099
1263941.4509986507644-2.45099865076437
1275050.8067376944853-0.806737694485329
1288887.91475489987450.0852451001255187
129155153.9845408837251.01545911627469
13005.15009358718902-5.15009358718902
1313635.17388096802680.826119031973171
132123116.006890098746.99310990125958
1333242.1765904886796-10.1765904886796
1349993.52765965921185.47234034078824
135136132.9960142670113.00398573298896
136117112.3313940410594.66860595894127
13702.20101536680053-2.20101536680053
1388886.05196265564431.9480373443557
1393945.875952653224-6.87595265322404
1402527.3254068202081-2.32540682020809
1415247.88896971587644.11103028412361
1427571.80989826522743.19010173477256
1437166.40587165099174.59412834900832
144124125.363298967318-1.36329896731752
145151153.126857188323-2.12685718832302
1467177.7464681852197-6.7464681852197
147145142.5245582751062.47544172489451
1488786.31243349387760.687566506122386
1492729.685966044377-2.68596604437702
150131133.36892779822-2.36892779822017
151162164.548855385009-2.54885538500931
152165161.4219554681173.57804453188316
1535452.66382587853151.33617412146855
154159154.9604785780084.03952142199231
155147142.0179552090034.98204479099697
156170171.318308528421-1.3183085284213
157119119.922035154767-0.92203515476696
1584948.80662628725580.193373712744221
159104101.5650899215612.4349100784392
160120123.269602202295-3.26960220229466
161150152.440388106061-2.44038810606119
162112112.719630102688-0.719630102687737
1635962.9926365880933-3.99263658809333
164136139.770720924614-3.77072092461389
165107109.153125995156-2.15312599515608
166130133.246745689282-3.24674568928185
167115116.83608331362-1.83608331361992
16810790.49409865222916.505901347771
1697574.36202712952180.637972870478184
1707171.4030484072831-0.403048407283104
171120114.6200627620335.37993723796663
172116116.880218125137-0.880218125137317
1737983.6057863888355-4.60578638883547
174150146.6243441589983.37565584100248
175156156.269404739342-0.269404739341908
1765148.56241371149282.43758628850717
177118118.494654813844-0.494654813843586
1787168.50455567721842.49544432278158
179144148.632023803052-4.63202380305167
1804754.5599701900283-7.55997019002834
1812827.47129051948090.528709480519106
1826863.41717400851884.58282599148117
18302.20893460871615-2.20893460871615
184110107.9243658029532.07563419704674
185147132.68540573700214.3145942629978
18602.13854848687715-2.13854848687715
1871519.3621384770723-4.36213847707229
18846.15804975777228-2.15804975777228
1896462.59095065408811.40904934591188
190111108.7329901348862.26700986511394
1918584.6569792352880.34302076471203
1926862.90282100325525.09717899674477
1934041.8196771427118-1.81967714271184
1948087.5610879967632-7.56108799676319
1958886.75034593571311.24965406428693
1964848.3887619999782-0.388761999978199
1977672.9943460993033.00565390069695
1985150.40445910585410.595540894145854
1996761.43246398596975.56753601403031
2005959.5350420036208-0.535042003620828
2016161.4850761035566-0.485076103556582
2027683.6171646128901-7.61716461289008
2036061.1378816153998-1.1378816153998
2046867.17943079109570.820569208904316
2057166.50579256744334.4942074325567
2067669.9280154038756.07198459612505
2076262.4055435868169-0.405543586816904
2086163.6338452095025-2.63384520950249
2096768.6972135245291-1.69721352452906
2108887.51509792367210.484902076327862
2113031.6790121913168-1.67901219131677
2126466.0088255171725-2.00882551717252
2136866.63187119826721.36812880173275
2146464.0364745058188-0.036474505818789
2159183.11265007763087.88734992236924
2168885.88356242421452.11643757578549
2175249.3783169869962.62168301300402
2184949.2509451975235-0.250945197523517
2196259.08481642507312.9151835749269
2206162.8811955609925-1.88119556099252
2217676.6882885803174-0.688288580317372
2228884.9488036545463.05119634545404
2236662.16007451509083.83992548490925
2247168.63306117253822.36693882746176
2256862.07602199337555.92397800662452
2264844.86582594494263.13417405505737
2272523.49426569801461.50573430198535
2286865.9883572268052.01164277319501
2294150.6241650085656-9.62416500856558
2309087.30815206375222.69184793624777
2316663.20070471395862.79929528604137
2325453.12025181909860.879748180901382
2335955.65594111034083.34405888965918
2346060.3023514436789-0.302351443678871
2357773.05003013263763.94996986736239
2366867.52641493571140.473585064288575
2377269.87410470160792.12589529839214
2386754.945742964501812.0542570354982
2396460.83660566944733.16339433055267
2406359.03436847019743.96563152980265
2415954.0955743620764.90442563792405
2428484.3933243636781-0.393324363678112
2436460.14716896000913.85283103999095
2445653.99079415590172.00920584409835
2455456.942797616749-2.94279761674901
2466761.49817028470615.50182971529394
2475856.65550836321511.34449163678491
2485958.31057009316940.689429906830573
2494039.74289501755530.257104982444719
2502220.5952073691121.40479263088797
2518383.428856774792-0.428856774791992
2528179.82821639103351.17178360896653
25325.52124185935679-3.52124185935679
2547269.72691334175492.27308665824515
2556163.9867793686575-2.98677936865747
2561514.97237757175270.0276224282472808
2573237.0943039485581-5.09430394855809
2586259.226752846862.77324715314001
2595859.0589047908913-1.05890479089128
2603633.78677556467442.21322443532557
2615952.86089333219466.13910666780539
2626868.7085092622851-0.708509262285145
2632126.7757228865372-5.77572288653718
2645553.8991364127731.10086358722702
2655455.7348668200223-1.73486682002227
2665552.14656994409362.85343005590641
2677269.1265510558562.87344894414397
2684143.2161784521068-2.21617845210679
2696164.2354805263753-3.23548052637526
2706773.0787497660775-6.07874976607746
2717669.25491337068016.74508662931986
2726463.59282701707370.407172982926275
27335.42893812577081-2.42893812577082
2746362.28806315895790.71193684104209
2754038.23414498216711.7658550178329
2766968.09271333428730.907286665712711
2774845.55508649939932.44491350060075
27889.39801333865413-1.39801333865414
2795255.0678176842089-3.06781768420891
2806667.2379535780015-1.23795357800145
2817673.78511102823442.21488897176561
2824350.4140761852233-7.41407618522334
2833939.6724561031658-0.672456103165774
2841415.8420979764214-1.84209797642139
2856161.9290948816178-0.929094881617805
2867170.31804180602820.681958193971779
2874446.2668490042521-2.26684900425206
2886058.71782396142331.2821760385767
2896457.9996898007746.00031019922598







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
180.6152632545671650.769473490865670.384736745432835
190.4579392291712240.9158784583424470.542060770828776
200.7764036066965190.4471927866069620.223596393303481
210.7169642134935780.5660715730128430.283035786506422
220.6885862740961310.6228274518077370.311413725903869
230.598008666808520.803982666382960.40199133319148
240.5369171349669820.9261657300660350.463082865033018
250.7635768786740570.4728462426518860.236423121325943
260.6939365877304540.6121268245390930.306063412269546
270.6253698118597230.7492603762805530.374630188140277
280.5497706587194250.9004586825611510.450229341280575
290.482903050890940.9658061017818790.51709694910906
300.4466832243583060.8933664487166130.553316775641694
310.4026076595139710.8052153190279420.597392340486029
320.3322429099082680.6644858198165360.667757090091732
330.2801183488964310.5602366977928620.719881651103569
340.2397634425081290.4795268850162580.760236557491871
350.1896612325869790.3793224651739580.810338767413021
360.1471948128935930.2943896257871860.852805187106407
370.1237603469493920.2475206938987840.876239653050608
380.1128384698967880.2256769397935760.887161530103212
390.08566065749621840.1713213149924370.914339342503782
400.0637296508942450.127459301788490.936270349105755
410.05977903291924390.1195580658384880.940220967080756
420.05686293656678430.1137258731335690.943137063433216
430.06388400419836220.1277680083967240.936115995801638
440.04723613396297630.09447226792595250.952763866037024
450.03830250283543810.07660500567087620.961697497164562
460.02819250713960340.05638501427920690.971807492860397
470.02702947937917160.05405895875834310.972970520620828
480.04318678455652190.08637356911304380.956813215443478
490.03200774646459220.06401549292918430.967992253535408
500.9999999999633957.32094265030187e-113.66047132515094e-11
510.9999999999327041.34591442462533e-106.72957212312663e-11
520.9999999999790554.18904548501483e-112.09452274250742e-11
530.999999999956968.60808832518611e-114.30404416259306e-11
540.999999999920231.59540920053643e-107.97704600268213e-11
550.999999999865532.68938995595729e-101.34469497797864e-10
560.9999999999527149.45727245209962e-114.72863622604981e-11
570.999999999922641.54720257378439e-107.73601286892193e-11
580.999999999989772.04596376866958e-111.02298188433479e-11
590.9999999999837653.24701065991724e-111.62350532995862e-11
600.9999999999683126.33761082853155e-113.16880541426577e-11
610.9999999999399931.20013802541124e-106.00069012705622e-11
620.9999999999236311.52737940413354e-107.63689702066771e-11
630.9999999998685422.62916758602953e-101.31458379301477e-10
640.9999999997515324.96936974216839e-102.4846848710842e-10
650.999999999822923.54160566424599e-101.770802832123e-10
660.9999999998406213.18757191912362e-101.59378595956181e-10
670.9999999998917482.16504880240008e-101.08252440120004e-10
680.9999999997960914.07818422382827e-102.03909211191413e-10
690.9999999996493977.01205397844648e-103.50602698922324e-10
700.9999999999989152.17091783417828e-121.08545891708914e-12
710.9999999999979264.14715828866102e-122.07357914433051e-12
720.999999999996217.58003205846036e-123.79001602923018e-12
730.9999999999951019.79817256900198e-124.89908628450099e-12
740.9999999999906571.86859174500099e-119.34295872500493e-12
750.9999999999836523.26965091383244e-111.63482545691622e-11
760.9999999999710285.79441803594994e-112.89720901797497e-11
770.9999999999571768.56471804358747e-114.28235902179373e-11
780.9999999999303981.39203014069571e-106.96015070347856e-11
790.9999999998819082.36183153052414e-101.18091576526207e-10
800.9999999998060473.87906208380211e-101.93953104190106e-10
810.9999999997474395.05122468304734e-102.52561234152367e-10
820.9999999995652448.69511960826845e-104.34755980413423e-10
830.9999999994023911.19521727588123e-095.97608637940617e-10
840.9999999989854552.02908957511249e-091.01454478755625e-09
850.9999999995691348.61731503075316e-104.30865751537658e-10
860.9999999992621631.47567376152109e-097.37836880760547e-10
870.9999999989173112.16537789912208e-091.08268894956104e-09
880.9999999983162713.36745716259149e-091.68372858129575e-09
890.9999999983185733.36285427461265e-091.68142713730633e-09
900.9999999975818914.83621756763404e-092.41810878381702e-09
9114.12579421341701e-212.06289710670851e-21
9217.96298722853081e-213.98149361426541e-21
9311.31527546465675e-206.57637732328375e-21
9411.91939097855559e-209.59695489277795e-21
9514.22667707842427e-202.11333853921213e-20
9619.41629175928693e-204.70814587964346e-20
9719.84659261758198e-214.92329630879099e-21
9811.80035968840184e-209.0017984420092e-21
9911.15215207880629e-205.76076039403143e-21
10012.44021753781766e-201.22010876890883e-20
10115.42705583758708e-202.71352791879354e-20
10211.2025294165095e-196.0126470825475e-20
10312.17235806635186e-191.08617903317593e-19
10414.19669608090281e-192.09834804045141e-19
10512.81215575171504e-191.40607787585752e-19
10613.95908906986529e-191.97954453493264e-19
10714.26417851995998e-192.13208925997999e-19
10814.17518223273356e-192.08759111636678e-19
10919.01266126526619e-194.50633063263309e-19
11011.94322782442849e-189.71613912214247e-19
11113.24982264575281e-181.6249113228764e-18
11212.32753007180768e-191.16376503590384e-19
11315.22585533629959e-192.6129276681498e-19
11417.54775999194368e-193.77387999597184e-19
11516.71827383012309e-193.35913691506155e-19
11616.51608317428918e-193.25804158714459e-19
11711.33793108438701e-186.68965542193506e-19
11812.79014805205723e-181.39507402602861e-18
11911.2435709836114e-186.217854918057e-19
12016.36567595755716e-223.18283797877858e-22
12111.08183419675127e-215.40917098375636e-22
12216.71905499988444e-223.35952749994222e-22
12311.05521663752543e-215.27608318762715e-22
12413.42522049084782e-221.71261024542391e-22
12516.91599343240455e-223.45799671620227e-22
12611.44697218360219e-217.23486091801094e-22
12713.30244063755764e-211.65122031877882e-21
12815.46474468493633e-212.73237234246817e-21
12911.24553678847054e-206.22768394235272e-21
13011.60544208174233e-208.02721040871164e-21
13113.60945411330497e-201.80472705665248e-20
13213.45513191659642e-201.72756595829821e-20
13313.37931422861629e-211.68965711430814e-21
13414.25180090169365e-212.12590045084682e-21
13515.59257145037527e-222.79628572518764e-22
13619.7280910701939e-224.86404553509695e-22
13712.1910087246757e-211.09550436233785e-21
13814.23932261101201e-212.119661305506e-21
13911.40619057508756e-217.03095287543779e-22
14012.50656358230783e-211.25328179115391e-21
14114.37082752991931e-212.18541376495965e-21
14216.17624776771009e-213.08812388385505e-21
14316.47774878388239e-213.23887439194119e-21
14417.88948417567172e-213.94474208783586e-21
14511.83778722134113e-209.18893610670566e-21
14612.71240960543663e-211.35620480271832e-21
14714.68516807748492e-212.34258403874246e-21
14811.01531846301761e-205.07659231508803e-21
14911.8149636828464e-209.07481841423202e-21
15014.13308223549485e-202.06654111774743e-20
15119.47180507631811e-204.73590253815905e-20
15211.09793532256585e-195.48967661282925e-20
15312.46020434364054e-191.23010217182027e-19
15415.23183067044821e-192.61591533522411e-19
15511.0914889901866e-185.45744495093299e-19
15612.49291004284081e-181.2464550214204e-18
15715.68011630652775e-182.84005815326387e-18
15819.7093824494407e-184.85469122472035e-18
15911.92887760527068e-179.64438802635341e-18
16013.61376580831112e-171.80688290415556e-17
16112.11750268626832e-171.05875134313416e-17
16214.79280783693137e-172.39640391846568e-17
16313.26155714080644e-171.63077857040322e-17
16416.95379514572793e-173.47689757286397e-17
16514.10898848893899e-172.05449424446949e-17
16618.52033970212327e-174.26016985106164e-17
16719.10008206280424e-174.55004103140212e-17
16813.90368002390273e-181.95184001195137e-18
16917.86663284255033e-183.93331642127517e-18
17011.65127398486295e-178.25636992431476e-18
17113.22131028048721e-171.61065514024361e-17
17217.48500549376478e-173.74250274688239e-17
17317.13334289748746e-173.56667144874373e-17
17411.21658391982284e-166.08291959911418e-17
17511.63463272125055e-168.17316360625274e-17
17613.47541275593949e-161.73770637796975e-16
17717.64831379637253e-163.82415689818626e-16
1780.9999999999999991.34290029751075e-156.71450148755374e-16
1790.9999999999999991.36648578034359e-156.83242890171794e-16
18016.63596890349476e-163.31798445174738e-16
1810.9999999999999991.51687750235357e-157.58438751176787e-16
1820.9999999999999991.92585130999156e-159.62925654995782e-16
1830.9999999999999984.3482414562665e-152.17412072813325e-15
1840.9999999999999976.17711773772647e-153.08855886886324e-15
1850.9999999999999991.38251236716366e-156.9125618358183e-16
1860.9999999999999983.14315536737745e-151.57157768368872e-15
1870.9999999999999992.82250515432339e-151.4112525771617e-15
1880.9999999999999976.34402816954196e-153.17201408477098e-15
1890.9999999999999931.40480478439054e-147.02402392195269e-15
1900.9999999999999853.09146818381908e-141.54573409190954e-14
1910.9999999999999666.8840245754802e-143.4420122877401e-14
1920.9999999999999331.33920582021018e-136.69602910105091e-14
1930.9999999999998522.96232106405035e-131.48116053202517e-13
1940.9999999999999794.21904269063211e-142.10952134531605e-14
1950.9999999999999627.56920995655137e-143.78460497827568e-14
1960.9999999999999141.72556765274825e-138.62783826374126e-14
1970.9999999999998163.68564611496168e-131.84282305748084e-13
1980.9999999999995878.25251375476339e-134.1262568773817e-13
1990.9999999999994961.00897094174044e-125.04485470870218e-13
2000.9999999999988772.24634991596901e-121.1231749579845e-12
2010.9999999999975154.96989770300643e-122.48494885150322e-12
2020.9999999999999872.62309626154274e-141.31154813077137e-14
2030.9999999999999715.88832989198621e-142.9441649459931e-14
2040.9999999999999331.34597025397132e-136.72985126985658e-14
2050.9999999999998722.56075004409411e-131.28037502204705e-13
2060.9999999999997754.4919257769611e-132.24596288848055e-13
2070.9999999999994721.05686296375843e-125.28431481879217e-13
2080.9999999999988872.22668777296398e-121.11334388648199e-12
2090.9999999999978794.24246923504289e-122.12123461752145e-12
2100.9999999999951189.76477288237917e-124.88238644118958e-12
2110.9999999999907771.84459613369638e-119.22298066848191e-12
2120.9999999999802033.95946225207661e-111.9797311260383e-11
2130.9999999999565958.68105401842562e-114.34052700921281e-11
2140.9999999999125191.74961664048364e-108.74808320241822e-11
2150.9999999999180111.63978220234066e-108.19891101170331e-11
2160.9999999998214193.57161112777753e-101.78580556388877e-10
2170.9999999997228335.54333995612133e-102.77166997806067e-10
2180.9999999993991861.20162779551014e-096.00813897755072e-10
2190.9999999988313552.33729004191674e-091.16864502095837e-09
2200.9999999979472554.10548940730453e-092.05274470365226e-09
2210.999999996583766.8324792630379e-093.41623963151895e-09
2220.9999999942606231.14787539481538e-085.73937697407689e-09
2230.9999999893577662.12844679343715e-081.06422339671857e-08
2240.9999999780762524.38474967182674e-082.19237483591337e-08
2250.9999999732392135.35215733221445e-082.67607866610723e-08
2260.9999999583473538.33052939545814e-084.16526469772907e-08
2270.9999999337059661.32588067257966e-076.62940336289832e-08
2280.999999868307742.63384519031979e-071.31692259515989e-07
2290.9999999962182327.56353696638158e-093.78176848319079e-09
2300.9999999946834471.0633106622828e-085.31655331141402e-09
2310.9999999881468842.37062322230832e-081.18531161115416e-08
2320.999999973958445.20831192375946e-082.60415596187973e-08
2330.9999999632415697.35168623192428e-083.67584311596214e-08
2340.9999999588123298.23753414519138e-084.11876707259569e-08
2350.9999999119461411.76107717641907e-078.80538588209534e-08
2360.9999998053219853.89356029594376e-071.94678014797188e-07
2370.9999996760572916.47885417525687e-073.23942708762843e-07
2380.9999999404078391.19184321870969e-075.95921609354846e-08
2390.9999998722605952.55478811048062e-071.27739405524031e-07
2400.9999998057270033.88545993583613e-071.94272996791806e-07
2410.9999996361486327.27702736261921e-073.6385136813096e-07
2420.9999996012777687.97444463813539e-073.9872223190677e-07
2430.9999993716669171.25666616649001e-066.28333083245003e-07
2440.9999987117082762.5765834482785e-061.28829172413925e-06
2450.9999986682351452.66352970951187e-061.33176485475593e-06
2460.9999997847614614.3047707810612e-072.1523853905306e-07
2470.999999764736654.70526700298231e-072.35263350149115e-07
2480.9999995166907729.66618455926445e-074.83309227963223e-07
2490.999998865419132.26916173941424e-061.13458086970712e-06
2500.9999984055448083.18891038416944e-061.59445519208472e-06
2510.9999959798860118.04022797775254e-064.02011398887627e-06
2520.9999951159084429.76818311671353e-064.88409155835676e-06
2530.999989816095582.03678088390047e-051.01839044195023e-05
2540.9999771408148254.5718370349628e-052.2859185174814e-05
2550.9999520487084329.59025831358252e-054.79512915679126e-05
2560.9998911315767460.0002177368465083610.00010886842325418
2570.9998159830783580.0003680338432836680.000184016921641834
2580.999807999967560.0003840000648802790.00019200003244014
2590.9995619869287670.0008760261424653480.000438013071232674
2600.9994626387765430.001074722446913180.000537361223456591
2610.9993777230472660.001244553905467160.000622276952733578
2620.9988907282086020.002218543582796650.00110927179139833
2630.9995100804958770.000979839008247030.000489919504123515
2640.998652233020620.002695533958759360.00134776697937968
2650.9973069383432810.005386123313438240.00269306165671912
2660.9933105299505940.01337894009881190.00668947004940596
2670.9936113830542790.01277723389144190.00638861694572094
2680.9890278684929690.02194426301406280.0109721315070314
2690.9818392670030480.03632146599390480.0181607329969524
2700.9675436724737280.0649126550525440.032456327526272
2710.9075722046476620.1848555907046760.0924277953523382

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
18 & 0.615263254567165 & 0.76947349086567 & 0.384736745432835 \tabularnewline
19 & 0.457939229171224 & 0.915878458342447 & 0.542060770828776 \tabularnewline
20 & 0.776403606696519 & 0.447192786606962 & 0.223596393303481 \tabularnewline
21 & 0.716964213493578 & 0.566071573012843 & 0.283035786506422 \tabularnewline
22 & 0.688586274096131 & 0.622827451807737 & 0.311413725903869 \tabularnewline
23 & 0.59800866680852 & 0.80398266638296 & 0.40199133319148 \tabularnewline
24 & 0.536917134966982 & 0.926165730066035 & 0.463082865033018 \tabularnewline
25 & 0.763576878674057 & 0.472846242651886 & 0.236423121325943 \tabularnewline
26 & 0.693936587730454 & 0.612126824539093 & 0.306063412269546 \tabularnewline
27 & 0.625369811859723 & 0.749260376280553 & 0.374630188140277 \tabularnewline
28 & 0.549770658719425 & 0.900458682561151 & 0.450229341280575 \tabularnewline
29 & 0.48290305089094 & 0.965806101781879 & 0.51709694910906 \tabularnewline
30 & 0.446683224358306 & 0.893366448716613 & 0.553316775641694 \tabularnewline
31 & 0.402607659513971 & 0.805215319027942 & 0.597392340486029 \tabularnewline
32 & 0.332242909908268 & 0.664485819816536 & 0.667757090091732 \tabularnewline
33 & 0.280118348896431 & 0.560236697792862 & 0.719881651103569 \tabularnewline
34 & 0.239763442508129 & 0.479526885016258 & 0.760236557491871 \tabularnewline
35 & 0.189661232586979 & 0.379322465173958 & 0.810338767413021 \tabularnewline
36 & 0.147194812893593 & 0.294389625787186 & 0.852805187106407 \tabularnewline
37 & 0.123760346949392 & 0.247520693898784 & 0.876239653050608 \tabularnewline
38 & 0.112838469896788 & 0.225676939793576 & 0.887161530103212 \tabularnewline
39 & 0.0856606574962184 & 0.171321314992437 & 0.914339342503782 \tabularnewline
40 & 0.063729650894245 & 0.12745930178849 & 0.936270349105755 \tabularnewline
41 & 0.0597790329192439 & 0.119558065838488 & 0.940220967080756 \tabularnewline
42 & 0.0568629365667843 & 0.113725873133569 & 0.943137063433216 \tabularnewline
43 & 0.0638840041983622 & 0.127768008396724 & 0.936115995801638 \tabularnewline
44 & 0.0472361339629763 & 0.0944722679259525 & 0.952763866037024 \tabularnewline
45 & 0.0383025028354381 & 0.0766050056708762 & 0.961697497164562 \tabularnewline
46 & 0.0281925071396034 & 0.0563850142792069 & 0.971807492860397 \tabularnewline
47 & 0.0270294793791716 & 0.0540589587583431 & 0.972970520620828 \tabularnewline
48 & 0.0431867845565219 & 0.0863735691130438 & 0.956813215443478 \tabularnewline
49 & 0.0320077464645922 & 0.0640154929291843 & 0.967992253535408 \tabularnewline
50 & 0.999999999963395 & 7.32094265030187e-11 & 3.66047132515094e-11 \tabularnewline
51 & 0.999999999932704 & 1.34591442462533e-10 & 6.72957212312663e-11 \tabularnewline
52 & 0.999999999979055 & 4.18904548501483e-11 & 2.09452274250742e-11 \tabularnewline
53 & 0.99999999995696 & 8.60808832518611e-11 & 4.30404416259306e-11 \tabularnewline
54 & 0.99999999992023 & 1.59540920053643e-10 & 7.97704600268213e-11 \tabularnewline
55 & 0.99999999986553 & 2.68938995595729e-10 & 1.34469497797864e-10 \tabularnewline
56 & 0.999999999952714 & 9.45727245209962e-11 & 4.72863622604981e-11 \tabularnewline
57 & 0.99999999992264 & 1.54720257378439e-10 & 7.73601286892193e-11 \tabularnewline
58 & 0.99999999998977 & 2.04596376866958e-11 & 1.02298188433479e-11 \tabularnewline
59 & 0.999999999983765 & 3.24701065991724e-11 & 1.62350532995862e-11 \tabularnewline
60 & 0.999999999968312 & 6.33761082853155e-11 & 3.16880541426577e-11 \tabularnewline
61 & 0.999999999939993 & 1.20013802541124e-10 & 6.00069012705622e-11 \tabularnewline
62 & 0.999999999923631 & 1.52737940413354e-10 & 7.63689702066771e-11 \tabularnewline
63 & 0.999999999868542 & 2.62916758602953e-10 & 1.31458379301477e-10 \tabularnewline
64 & 0.999999999751532 & 4.96936974216839e-10 & 2.4846848710842e-10 \tabularnewline
65 & 0.99999999982292 & 3.54160566424599e-10 & 1.770802832123e-10 \tabularnewline
66 & 0.999999999840621 & 3.18757191912362e-10 & 1.59378595956181e-10 \tabularnewline
67 & 0.999999999891748 & 2.16504880240008e-10 & 1.08252440120004e-10 \tabularnewline
68 & 0.999999999796091 & 4.07818422382827e-10 & 2.03909211191413e-10 \tabularnewline
69 & 0.999999999649397 & 7.01205397844648e-10 & 3.50602698922324e-10 \tabularnewline
70 & 0.999999999998915 & 2.17091783417828e-12 & 1.08545891708914e-12 \tabularnewline
71 & 0.999999999997926 & 4.14715828866102e-12 & 2.07357914433051e-12 \tabularnewline
72 & 0.99999999999621 & 7.58003205846036e-12 & 3.79001602923018e-12 \tabularnewline
73 & 0.999999999995101 & 9.79817256900198e-12 & 4.89908628450099e-12 \tabularnewline
74 & 0.999999999990657 & 1.86859174500099e-11 & 9.34295872500493e-12 \tabularnewline
75 & 0.999999999983652 & 3.26965091383244e-11 & 1.63482545691622e-11 \tabularnewline
76 & 0.999999999971028 & 5.79441803594994e-11 & 2.89720901797497e-11 \tabularnewline
77 & 0.999999999957176 & 8.56471804358747e-11 & 4.28235902179373e-11 \tabularnewline
78 & 0.999999999930398 & 1.39203014069571e-10 & 6.96015070347856e-11 \tabularnewline
79 & 0.999999999881908 & 2.36183153052414e-10 & 1.18091576526207e-10 \tabularnewline
80 & 0.999999999806047 & 3.87906208380211e-10 & 1.93953104190106e-10 \tabularnewline
81 & 0.999999999747439 & 5.05122468304734e-10 & 2.52561234152367e-10 \tabularnewline
82 & 0.999999999565244 & 8.69511960826845e-10 & 4.34755980413423e-10 \tabularnewline
83 & 0.999999999402391 & 1.19521727588123e-09 & 5.97608637940617e-10 \tabularnewline
84 & 0.999999998985455 & 2.02908957511249e-09 & 1.01454478755625e-09 \tabularnewline
85 & 0.999999999569134 & 8.61731503075316e-10 & 4.30865751537658e-10 \tabularnewline
86 & 0.999999999262163 & 1.47567376152109e-09 & 7.37836880760547e-10 \tabularnewline
87 & 0.999999998917311 & 2.16537789912208e-09 & 1.08268894956104e-09 \tabularnewline
88 & 0.999999998316271 & 3.36745716259149e-09 & 1.68372858129575e-09 \tabularnewline
89 & 0.999999998318573 & 3.36285427461265e-09 & 1.68142713730633e-09 \tabularnewline
90 & 0.999999997581891 & 4.83621756763404e-09 & 2.41810878381702e-09 \tabularnewline
91 & 1 & 4.12579421341701e-21 & 2.06289710670851e-21 \tabularnewline
92 & 1 & 7.96298722853081e-21 & 3.98149361426541e-21 \tabularnewline
93 & 1 & 1.31527546465675e-20 & 6.57637732328375e-21 \tabularnewline
94 & 1 & 1.91939097855559e-20 & 9.59695489277795e-21 \tabularnewline
95 & 1 & 4.22667707842427e-20 & 2.11333853921213e-20 \tabularnewline
96 & 1 & 9.41629175928693e-20 & 4.70814587964346e-20 \tabularnewline
97 & 1 & 9.84659261758198e-21 & 4.92329630879099e-21 \tabularnewline
98 & 1 & 1.80035968840184e-20 & 9.0017984420092e-21 \tabularnewline
99 & 1 & 1.15215207880629e-20 & 5.76076039403143e-21 \tabularnewline
100 & 1 & 2.44021753781766e-20 & 1.22010876890883e-20 \tabularnewline
101 & 1 & 5.42705583758708e-20 & 2.71352791879354e-20 \tabularnewline
102 & 1 & 1.2025294165095e-19 & 6.0126470825475e-20 \tabularnewline
103 & 1 & 2.17235806635186e-19 & 1.08617903317593e-19 \tabularnewline
104 & 1 & 4.19669608090281e-19 & 2.09834804045141e-19 \tabularnewline
105 & 1 & 2.81215575171504e-19 & 1.40607787585752e-19 \tabularnewline
106 & 1 & 3.95908906986529e-19 & 1.97954453493264e-19 \tabularnewline
107 & 1 & 4.26417851995998e-19 & 2.13208925997999e-19 \tabularnewline
108 & 1 & 4.17518223273356e-19 & 2.08759111636678e-19 \tabularnewline
109 & 1 & 9.01266126526619e-19 & 4.50633063263309e-19 \tabularnewline
110 & 1 & 1.94322782442849e-18 & 9.71613912214247e-19 \tabularnewline
111 & 1 & 3.24982264575281e-18 & 1.6249113228764e-18 \tabularnewline
112 & 1 & 2.32753007180768e-19 & 1.16376503590384e-19 \tabularnewline
113 & 1 & 5.22585533629959e-19 & 2.6129276681498e-19 \tabularnewline
114 & 1 & 7.54775999194368e-19 & 3.77387999597184e-19 \tabularnewline
115 & 1 & 6.71827383012309e-19 & 3.35913691506155e-19 \tabularnewline
116 & 1 & 6.51608317428918e-19 & 3.25804158714459e-19 \tabularnewline
117 & 1 & 1.33793108438701e-18 & 6.68965542193506e-19 \tabularnewline
118 & 1 & 2.79014805205723e-18 & 1.39507402602861e-18 \tabularnewline
119 & 1 & 1.2435709836114e-18 & 6.217854918057e-19 \tabularnewline
120 & 1 & 6.36567595755716e-22 & 3.18283797877858e-22 \tabularnewline
121 & 1 & 1.08183419675127e-21 & 5.40917098375636e-22 \tabularnewline
122 & 1 & 6.71905499988444e-22 & 3.35952749994222e-22 \tabularnewline
123 & 1 & 1.05521663752543e-21 & 5.27608318762715e-22 \tabularnewline
124 & 1 & 3.42522049084782e-22 & 1.71261024542391e-22 \tabularnewline
125 & 1 & 6.91599343240455e-22 & 3.45799671620227e-22 \tabularnewline
126 & 1 & 1.44697218360219e-21 & 7.23486091801094e-22 \tabularnewline
127 & 1 & 3.30244063755764e-21 & 1.65122031877882e-21 \tabularnewline
128 & 1 & 5.46474468493633e-21 & 2.73237234246817e-21 \tabularnewline
129 & 1 & 1.24553678847054e-20 & 6.22768394235272e-21 \tabularnewline
130 & 1 & 1.60544208174233e-20 & 8.02721040871164e-21 \tabularnewline
131 & 1 & 3.60945411330497e-20 & 1.80472705665248e-20 \tabularnewline
132 & 1 & 3.45513191659642e-20 & 1.72756595829821e-20 \tabularnewline
133 & 1 & 3.37931422861629e-21 & 1.68965711430814e-21 \tabularnewline
134 & 1 & 4.25180090169365e-21 & 2.12590045084682e-21 \tabularnewline
135 & 1 & 5.59257145037527e-22 & 2.79628572518764e-22 \tabularnewline
136 & 1 & 9.7280910701939e-22 & 4.86404553509695e-22 \tabularnewline
137 & 1 & 2.1910087246757e-21 & 1.09550436233785e-21 \tabularnewline
138 & 1 & 4.23932261101201e-21 & 2.119661305506e-21 \tabularnewline
139 & 1 & 1.40619057508756e-21 & 7.03095287543779e-22 \tabularnewline
140 & 1 & 2.50656358230783e-21 & 1.25328179115391e-21 \tabularnewline
141 & 1 & 4.37082752991931e-21 & 2.18541376495965e-21 \tabularnewline
142 & 1 & 6.17624776771009e-21 & 3.08812388385505e-21 \tabularnewline
143 & 1 & 6.47774878388239e-21 & 3.23887439194119e-21 \tabularnewline
144 & 1 & 7.88948417567172e-21 & 3.94474208783586e-21 \tabularnewline
145 & 1 & 1.83778722134113e-20 & 9.18893610670566e-21 \tabularnewline
146 & 1 & 2.71240960543663e-21 & 1.35620480271832e-21 \tabularnewline
147 & 1 & 4.68516807748492e-21 & 2.34258403874246e-21 \tabularnewline
148 & 1 & 1.01531846301761e-20 & 5.07659231508803e-21 \tabularnewline
149 & 1 & 1.8149636828464e-20 & 9.07481841423202e-21 \tabularnewline
150 & 1 & 4.13308223549485e-20 & 2.06654111774743e-20 \tabularnewline
151 & 1 & 9.47180507631811e-20 & 4.73590253815905e-20 \tabularnewline
152 & 1 & 1.09793532256585e-19 & 5.48967661282925e-20 \tabularnewline
153 & 1 & 2.46020434364054e-19 & 1.23010217182027e-19 \tabularnewline
154 & 1 & 5.23183067044821e-19 & 2.61591533522411e-19 \tabularnewline
155 & 1 & 1.0914889901866e-18 & 5.45744495093299e-19 \tabularnewline
156 & 1 & 2.49291004284081e-18 & 1.2464550214204e-18 \tabularnewline
157 & 1 & 5.68011630652775e-18 & 2.84005815326387e-18 \tabularnewline
158 & 1 & 9.7093824494407e-18 & 4.85469122472035e-18 \tabularnewline
159 & 1 & 1.92887760527068e-17 & 9.64438802635341e-18 \tabularnewline
160 & 1 & 3.61376580831112e-17 & 1.80688290415556e-17 \tabularnewline
161 & 1 & 2.11750268626832e-17 & 1.05875134313416e-17 \tabularnewline
162 & 1 & 4.79280783693137e-17 & 2.39640391846568e-17 \tabularnewline
163 & 1 & 3.26155714080644e-17 & 1.63077857040322e-17 \tabularnewline
164 & 1 & 6.95379514572793e-17 & 3.47689757286397e-17 \tabularnewline
165 & 1 & 4.10898848893899e-17 & 2.05449424446949e-17 \tabularnewline
166 & 1 & 8.52033970212327e-17 & 4.26016985106164e-17 \tabularnewline
167 & 1 & 9.10008206280424e-17 & 4.55004103140212e-17 \tabularnewline
168 & 1 & 3.90368002390273e-18 & 1.95184001195137e-18 \tabularnewline
169 & 1 & 7.86663284255033e-18 & 3.93331642127517e-18 \tabularnewline
170 & 1 & 1.65127398486295e-17 & 8.25636992431476e-18 \tabularnewline
171 & 1 & 3.22131028048721e-17 & 1.61065514024361e-17 \tabularnewline
172 & 1 & 7.48500549376478e-17 & 3.74250274688239e-17 \tabularnewline
173 & 1 & 7.13334289748746e-17 & 3.56667144874373e-17 \tabularnewline
174 & 1 & 1.21658391982284e-16 & 6.08291959911418e-17 \tabularnewline
175 & 1 & 1.63463272125055e-16 & 8.17316360625274e-17 \tabularnewline
176 & 1 & 3.47541275593949e-16 & 1.73770637796975e-16 \tabularnewline
177 & 1 & 7.64831379637253e-16 & 3.82415689818626e-16 \tabularnewline
178 & 0.999999999999999 & 1.34290029751075e-15 & 6.71450148755374e-16 \tabularnewline
179 & 0.999999999999999 & 1.36648578034359e-15 & 6.83242890171794e-16 \tabularnewline
180 & 1 & 6.63596890349476e-16 & 3.31798445174738e-16 \tabularnewline
181 & 0.999999999999999 & 1.51687750235357e-15 & 7.58438751176787e-16 \tabularnewline
182 & 0.999999999999999 & 1.92585130999156e-15 & 9.62925654995782e-16 \tabularnewline
183 & 0.999999999999998 & 4.3482414562665e-15 & 2.17412072813325e-15 \tabularnewline
184 & 0.999999999999997 & 6.17711773772647e-15 & 3.08855886886324e-15 \tabularnewline
185 & 0.999999999999999 & 1.38251236716366e-15 & 6.9125618358183e-16 \tabularnewline
186 & 0.999999999999998 & 3.14315536737745e-15 & 1.57157768368872e-15 \tabularnewline
187 & 0.999999999999999 & 2.82250515432339e-15 & 1.4112525771617e-15 \tabularnewline
188 & 0.999999999999997 & 6.34402816954196e-15 & 3.17201408477098e-15 \tabularnewline
189 & 0.999999999999993 & 1.40480478439054e-14 & 7.02402392195269e-15 \tabularnewline
190 & 0.999999999999985 & 3.09146818381908e-14 & 1.54573409190954e-14 \tabularnewline
191 & 0.999999999999966 & 6.8840245754802e-14 & 3.4420122877401e-14 \tabularnewline
192 & 0.999999999999933 & 1.33920582021018e-13 & 6.69602910105091e-14 \tabularnewline
193 & 0.999999999999852 & 2.96232106405035e-13 & 1.48116053202517e-13 \tabularnewline
194 & 0.999999999999979 & 4.21904269063211e-14 & 2.10952134531605e-14 \tabularnewline
195 & 0.999999999999962 & 7.56920995655137e-14 & 3.78460497827568e-14 \tabularnewline
196 & 0.999999999999914 & 1.72556765274825e-13 & 8.62783826374126e-14 \tabularnewline
197 & 0.999999999999816 & 3.68564611496168e-13 & 1.84282305748084e-13 \tabularnewline
198 & 0.999999999999587 & 8.25251375476339e-13 & 4.1262568773817e-13 \tabularnewline
199 & 0.999999999999496 & 1.00897094174044e-12 & 5.04485470870218e-13 \tabularnewline
200 & 0.999999999998877 & 2.24634991596901e-12 & 1.1231749579845e-12 \tabularnewline
201 & 0.999999999997515 & 4.96989770300643e-12 & 2.48494885150322e-12 \tabularnewline
202 & 0.999999999999987 & 2.62309626154274e-14 & 1.31154813077137e-14 \tabularnewline
203 & 0.999999999999971 & 5.88832989198621e-14 & 2.9441649459931e-14 \tabularnewline
204 & 0.999999999999933 & 1.34597025397132e-13 & 6.72985126985658e-14 \tabularnewline
205 & 0.999999999999872 & 2.56075004409411e-13 & 1.28037502204705e-13 \tabularnewline
206 & 0.999999999999775 & 4.4919257769611e-13 & 2.24596288848055e-13 \tabularnewline
207 & 0.999999999999472 & 1.05686296375843e-12 & 5.28431481879217e-13 \tabularnewline
208 & 0.999999999998887 & 2.22668777296398e-12 & 1.11334388648199e-12 \tabularnewline
209 & 0.999999999997879 & 4.24246923504289e-12 & 2.12123461752145e-12 \tabularnewline
210 & 0.999999999995118 & 9.76477288237917e-12 & 4.88238644118958e-12 \tabularnewline
211 & 0.999999999990777 & 1.84459613369638e-11 & 9.22298066848191e-12 \tabularnewline
212 & 0.999999999980203 & 3.95946225207661e-11 & 1.9797311260383e-11 \tabularnewline
213 & 0.999999999956595 & 8.68105401842562e-11 & 4.34052700921281e-11 \tabularnewline
214 & 0.999999999912519 & 1.74961664048364e-10 & 8.74808320241822e-11 \tabularnewline
215 & 0.999999999918011 & 1.63978220234066e-10 & 8.19891101170331e-11 \tabularnewline
216 & 0.999999999821419 & 3.57161112777753e-10 & 1.78580556388877e-10 \tabularnewline
217 & 0.999999999722833 & 5.54333995612133e-10 & 2.77166997806067e-10 \tabularnewline
218 & 0.999999999399186 & 1.20162779551014e-09 & 6.00813897755072e-10 \tabularnewline
219 & 0.999999998831355 & 2.33729004191674e-09 & 1.16864502095837e-09 \tabularnewline
220 & 0.999999997947255 & 4.10548940730453e-09 & 2.05274470365226e-09 \tabularnewline
221 & 0.99999999658376 & 6.8324792630379e-09 & 3.41623963151895e-09 \tabularnewline
222 & 0.999999994260623 & 1.14787539481538e-08 & 5.73937697407689e-09 \tabularnewline
223 & 0.999999989357766 & 2.12844679343715e-08 & 1.06422339671857e-08 \tabularnewline
224 & 0.999999978076252 & 4.38474967182674e-08 & 2.19237483591337e-08 \tabularnewline
225 & 0.999999973239213 & 5.35215733221445e-08 & 2.67607866610723e-08 \tabularnewline
226 & 0.999999958347353 & 8.33052939545814e-08 & 4.16526469772907e-08 \tabularnewline
227 & 0.999999933705966 & 1.32588067257966e-07 & 6.62940336289832e-08 \tabularnewline
228 & 0.99999986830774 & 2.63384519031979e-07 & 1.31692259515989e-07 \tabularnewline
229 & 0.999999996218232 & 7.56353696638158e-09 & 3.78176848319079e-09 \tabularnewline
230 & 0.999999994683447 & 1.0633106622828e-08 & 5.31655331141402e-09 \tabularnewline
231 & 0.999999988146884 & 2.37062322230832e-08 & 1.18531161115416e-08 \tabularnewline
232 & 0.99999997395844 & 5.20831192375946e-08 & 2.60415596187973e-08 \tabularnewline
233 & 0.999999963241569 & 7.35168623192428e-08 & 3.67584311596214e-08 \tabularnewline
234 & 0.999999958812329 & 8.23753414519138e-08 & 4.11876707259569e-08 \tabularnewline
235 & 0.999999911946141 & 1.76107717641907e-07 & 8.80538588209534e-08 \tabularnewline
236 & 0.999999805321985 & 3.89356029594376e-07 & 1.94678014797188e-07 \tabularnewline
237 & 0.999999676057291 & 6.47885417525687e-07 & 3.23942708762843e-07 \tabularnewline
238 & 0.999999940407839 & 1.19184321870969e-07 & 5.95921609354846e-08 \tabularnewline
239 & 0.999999872260595 & 2.55478811048062e-07 & 1.27739405524031e-07 \tabularnewline
240 & 0.999999805727003 & 3.88545993583613e-07 & 1.94272996791806e-07 \tabularnewline
241 & 0.999999636148632 & 7.27702736261921e-07 & 3.6385136813096e-07 \tabularnewline
242 & 0.999999601277768 & 7.97444463813539e-07 & 3.9872223190677e-07 \tabularnewline
243 & 0.999999371666917 & 1.25666616649001e-06 & 6.28333083245003e-07 \tabularnewline
244 & 0.999998711708276 & 2.5765834482785e-06 & 1.28829172413925e-06 \tabularnewline
245 & 0.999998668235145 & 2.66352970951187e-06 & 1.33176485475593e-06 \tabularnewline
246 & 0.999999784761461 & 4.3047707810612e-07 & 2.1523853905306e-07 \tabularnewline
247 & 0.99999976473665 & 4.70526700298231e-07 & 2.35263350149115e-07 \tabularnewline
248 & 0.999999516690772 & 9.66618455926445e-07 & 4.83309227963223e-07 \tabularnewline
249 & 0.99999886541913 & 2.26916173941424e-06 & 1.13458086970712e-06 \tabularnewline
250 & 0.999998405544808 & 3.18891038416944e-06 & 1.59445519208472e-06 \tabularnewline
251 & 0.999995979886011 & 8.04022797775254e-06 & 4.02011398887627e-06 \tabularnewline
252 & 0.999995115908442 & 9.76818311671353e-06 & 4.88409155835676e-06 \tabularnewline
253 & 0.99998981609558 & 2.03678088390047e-05 & 1.01839044195023e-05 \tabularnewline
254 & 0.999977140814825 & 4.5718370349628e-05 & 2.2859185174814e-05 \tabularnewline
255 & 0.999952048708432 & 9.59025831358252e-05 & 4.79512915679126e-05 \tabularnewline
256 & 0.999891131576746 & 0.000217736846508361 & 0.00010886842325418 \tabularnewline
257 & 0.999815983078358 & 0.000368033843283668 & 0.000184016921641834 \tabularnewline
258 & 0.99980799996756 & 0.000384000064880279 & 0.00019200003244014 \tabularnewline
259 & 0.999561986928767 & 0.000876026142465348 & 0.000438013071232674 \tabularnewline
260 & 0.999462638776543 & 0.00107472244691318 & 0.000537361223456591 \tabularnewline
261 & 0.999377723047266 & 0.00124455390546716 & 0.000622276952733578 \tabularnewline
262 & 0.998890728208602 & 0.00221854358279665 & 0.00110927179139833 \tabularnewline
263 & 0.999510080495877 & 0.00097983900824703 & 0.000489919504123515 \tabularnewline
264 & 0.99865223302062 & 0.00269553395875936 & 0.00134776697937968 \tabularnewline
265 & 0.997306938343281 & 0.00538612331343824 & 0.00269306165671912 \tabularnewline
266 & 0.993310529950594 & 0.0133789400988119 & 0.00668947004940596 \tabularnewline
267 & 0.993611383054279 & 0.0127772338914419 & 0.00638861694572094 \tabularnewline
268 & 0.989027868492969 & 0.0219442630140628 & 0.0109721315070314 \tabularnewline
269 & 0.981839267003048 & 0.0363214659939048 & 0.0181607329969524 \tabularnewline
270 & 0.967543672473728 & 0.064912655052544 & 0.032456327526272 \tabularnewline
271 & 0.907572204647662 & 0.184855590704676 & 0.0924277953523382 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197691&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]0.615263254567165[/C][C]0.76947349086567[/C][C]0.384736745432835[/C][/ROW]
[ROW][C]19[/C][C]0.457939229171224[/C][C]0.915878458342447[/C][C]0.542060770828776[/C][/ROW]
[ROW][C]20[/C][C]0.776403606696519[/C][C]0.447192786606962[/C][C]0.223596393303481[/C][/ROW]
[ROW][C]21[/C][C]0.716964213493578[/C][C]0.566071573012843[/C][C]0.283035786506422[/C][/ROW]
[ROW][C]22[/C][C]0.688586274096131[/C][C]0.622827451807737[/C][C]0.311413725903869[/C][/ROW]
[ROW][C]23[/C][C]0.59800866680852[/C][C]0.80398266638296[/C][C]0.40199133319148[/C][/ROW]
[ROW][C]24[/C][C]0.536917134966982[/C][C]0.926165730066035[/C][C]0.463082865033018[/C][/ROW]
[ROW][C]25[/C][C]0.763576878674057[/C][C]0.472846242651886[/C][C]0.236423121325943[/C][/ROW]
[ROW][C]26[/C][C]0.693936587730454[/C][C]0.612126824539093[/C][C]0.306063412269546[/C][/ROW]
[ROW][C]27[/C][C]0.625369811859723[/C][C]0.749260376280553[/C][C]0.374630188140277[/C][/ROW]
[ROW][C]28[/C][C]0.549770658719425[/C][C]0.900458682561151[/C][C]0.450229341280575[/C][/ROW]
[ROW][C]29[/C][C]0.48290305089094[/C][C]0.965806101781879[/C][C]0.51709694910906[/C][/ROW]
[ROW][C]30[/C][C]0.446683224358306[/C][C]0.893366448716613[/C][C]0.553316775641694[/C][/ROW]
[ROW][C]31[/C][C]0.402607659513971[/C][C]0.805215319027942[/C][C]0.597392340486029[/C][/ROW]
[ROW][C]32[/C][C]0.332242909908268[/C][C]0.664485819816536[/C][C]0.667757090091732[/C][/ROW]
[ROW][C]33[/C][C]0.280118348896431[/C][C]0.560236697792862[/C][C]0.719881651103569[/C][/ROW]
[ROW][C]34[/C][C]0.239763442508129[/C][C]0.479526885016258[/C][C]0.760236557491871[/C][/ROW]
[ROW][C]35[/C][C]0.189661232586979[/C][C]0.379322465173958[/C][C]0.810338767413021[/C][/ROW]
[ROW][C]36[/C][C]0.147194812893593[/C][C]0.294389625787186[/C][C]0.852805187106407[/C][/ROW]
[ROW][C]37[/C][C]0.123760346949392[/C][C]0.247520693898784[/C][C]0.876239653050608[/C][/ROW]
[ROW][C]38[/C][C]0.112838469896788[/C][C]0.225676939793576[/C][C]0.887161530103212[/C][/ROW]
[ROW][C]39[/C][C]0.0856606574962184[/C][C]0.171321314992437[/C][C]0.914339342503782[/C][/ROW]
[ROW][C]40[/C][C]0.063729650894245[/C][C]0.12745930178849[/C][C]0.936270349105755[/C][/ROW]
[ROW][C]41[/C][C]0.0597790329192439[/C][C]0.119558065838488[/C][C]0.940220967080756[/C][/ROW]
[ROW][C]42[/C][C]0.0568629365667843[/C][C]0.113725873133569[/C][C]0.943137063433216[/C][/ROW]
[ROW][C]43[/C][C]0.0638840041983622[/C][C]0.127768008396724[/C][C]0.936115995801638[/C][/ROW]
[ROW][C]44[/C][C]0.0472361339629763[/C][C]0.0944722679259525[/C][C]0.952763866037024[/C][/ROW]
[ROW][C]45[/C][C]0.0383025028354381[/C][C]0.0766050056708762[/C][C]0.961697497164562[/C][/ROW]
[ROW][C]46[/C][C]0.0281925071396034[/C][C]0.0563850142792069[/C][C]0.971807492860397[/C][/ROW]
[ROW][C]47[/C][C]0.0270294793791716[/C][C]0.0540589587583431[/C][C]0.972970520620828[/C][/ROW]
[ROW][C]48[/C][C]0.0431867845565219[/C][C]0.0863735691130438[/C][C]0.956813215443478[/C][/ROW]
[ROW][C]49[/C][C]0.0320077464645922[/C][C]0.0640154929291843[/C][C]0.967992253535408[/C][/ROW]
[ROW][C]50[/C][C]0.999999999963395[/C][C]7.32094265030187e-11[/C][C]3.66047132515094e-11[/C][/ROW]
[ROW][C]51[/C][C]0.999999999932704[/C][C]1.34591442462533e-10[/C][C]6.72957212312663e-11[/C][/ROW]
[ROW][C]52[/C][C]0.999999999979055[/C][C]4.18904548501483e-11[/C][C]2.09452274250742e-11[/C][/ROW]
[ROW][C]53[/C][C]0.99999999995696[/C][C]8.60808832518611e-11[/C][C]4.30404416259306e-11[/C][/ROW]
[ROW][C]54[/C][C]0.99999999992023[/C][C]1.59540920053643e-10[/C][C]7.97704600268213e-11[/C][/ROW]
[ROW][C]55[/C][C]0.99999999986553[/C][C]2.68938995595729e-10[/C][C]1.34469497797864e-10[/C][/ROW]
[ROW][C]56[/C][C]0.999999999952714[/C][C]9.45727245209962e-11[/C][C]4.72863622604981e-11[/C][/ROW]
[ROW][C]57[/C][C]0.99999999992264[/C][C]1.54720257378439e-10[/C][C]7.73601286892193e-11[/C][/ROW]
[ROW][C]58[/C][C]0.99999999998977[/C][C]2.04596376866958e-11[/C][C]1.02298188433479e-11[/C][/ROW]
[ROW][C]59[/C][C]0.999999999983765[/C][C]3.24701065991724e-11[/C][C]1.62350532995862e-11[/C][/ROW]
[ROW][C]60[/C][C]0.999999999968312[/C][C]6.33761082853155e-11[/C][C]3.16880541426577e-11[/C][/ROW]
[ROW][C]61[/C][C]0.999999999939993[/C][C]1.20013802541124e-10[/C][C]6.00069012705622e-11[/C][/ROW]
[ROW][C]62[/C][C]0.999999999923631[/C][C]1.52737940413354e-10[/C][C]7.63689702066771e-11[/C][/ROW]
[ROW][C]63[/C][C]0.999999999868542[/C][C]2.62916758602953e-10[/C][C]1.31458379301477e-10[/C][/ROW]
[ROW][C]64[/C][C]0.999999999751532[/C][C]4.96936974216839e-10[/C][C]2.4846848710842e-10[/C][/ROW]
[ROW][C]65[/C][C]0.99999999982292[/C][C]3.54160566424599e-10[/C][C]1.770802832123e-10[/C][/ROW]
[ROW][C]66[/C][C]0.999999999840621[/C][C]3.18757191912362e-10[/C][C]1.59378595956181e-10[/C][/ROW]
[ROW][C]67[/C][C]0.999999999891748[/C][C]2.16504880240008e-10[/C][C]1.08252440120004e-10[/C][/ROW]
[ROW][C]68[/C][C]0.999999999796091[/C][C]4.07818422382827e-10[/C][C]2.03909211191413e-10[/C][/ROW]
[ROW][C]69[/C][C]0.999999999649397[/C][C]7.01205397844648e-10[/C][C]3.50602698922324e-10[/C][/ROW]
[ROW][C]70[/C][C]0.999999999998915[/C][C]2.17091783417828e-12[/C][C]1.08545891708914e-12[/C][/ROW]
[ROW][C]71[/C][C]0.999999999997926[/C][C]4.14715828866102e-12[/C][C]2.07357914433051e-12[/C][/ROW]
[ROW][C]72[/C][C]0.99999999999621[/C][C]7.58003205846036e-12[/C][C]3.79001602923018e-12[/C][/ROW]
[ROW][C]73[/C][C]0.999999999995101[/C][C]9.79817256900198e-12[/C][C]4.89908628450099e-12[/C][/ROW]
[ROW][C]74[/C][C]0.999999999990657[/C][C]1.86859174500099e-11[/C][C]9.34295872500493e-12[/C][/ROW]
[ROW][C]75[/C][C]0.999999999983652[/C][C]3.26965091383244e-11[/C][C]1.63482545691622e-11[/C][/ROW]
[ROW][C]76[/C][C]0.999999999971028[/C][C]5.79441803594994e-11[/C][C]2.89720901797497e-11[/C][/ROW]
[ROW][C]77[/C][C]0.999999999957176[/C][C]8.56471804358747e-11[/C][C]4.28235902179373e-11[/C][/ROW]
[ROW][C]78[/C][C]0.999999999930398[/C][C]1.39203014069571e-10[/C][C]6.96015070347856e-11[/C][/ROW]
[ROW][C]79[/C][C]0.999999999881908[/C][C]2.36183153052414e-10[/C][C]1.18091576526207e-10[/C][/ROW]
[ROW][C]80[/C][C]0.999999999806047[/C][C]3.87906208380211e-10[/C][C]1.93953104190106e-10[/C][/ROW]
[ROW][C]81[/C][C]0.999999999747439[/C][C]5.05122468304734e-10[/C][C]2.52561234152367e-10[/C][/ROW]
[ROW][C]82[/C][C]0.999999999565244[/C][C]8.69511960826845e-10[/C][C]4.34755980413423e-10[/C][/ROW]
[ROW][C]83[/C][C]0.999999999402391[/C][C]1.19521727588123e-09[/C][C]5.97608637940617e-10[/C][/ROW]
[ROW][C]84[/C][C]0.999999998985455[/C][C]2.02908957511249e-09[/C][C]1.01454478755625e-09[/C][/ROW]
[ROW][C]85[/C][C]0.999999999569134[/C][C]8.61731503075316e-10[/C][C]4.30865751537658e-10[/C][/ROW]
[ROW][C]86[/C][C]0.999999999262163[/C][C]1.47567376152109e-09[/C][C]7.37836880760547e-10[/C][/ROW]
[ROW][C]87[/C][C]0.999999998917311[/C][C]2.16537789912208e-09[/C][C]1.08268894956104e-09[/C][/ROW]
[ROW][C]88[/C][C]0.999999998316271[/C][C]3.36745716259149e-09[/C][C]1.68372858129575e-09[/C][/ROW]
[ROW][C]89[/C][C]0.999999998318573[/C][C]3.36285427461265e-09[/C][C]1.68142713730633e-09[/C][/ROW]
[ROW][C]90[/C][C]0.999999997581891[/C][C]4.83621756763404e-09[/C][C]2.41810878381702e-09[/C][/ROW]
[ROW][C]91[/C][C]1[/C][C]4.12579421341701e-21[/C][C]2.06289710670851e-21[/C][/ROW]
[ROW][C]92[/C][C]1[/C][C]7.96298722853081e-21[/C][C]3.98149361426541e-21[/C][/ROW]
[ROW][C]93[/C][C]1[/C][C]1.31527546465675e-20[/C][C]6.57637732328375e-21[/C][/ROW]
[ROW][C]94[/C][C]1[/C][C]1.91939097855559e-20[/C][C]9.59695489277795e-21[/C][/ROW]
[ROW][C]95[/C][C]1[/C][C]4.22667707842427e-20[/C][C]2.11333853921213e-20[/C][/ROW]
[ROW][C]96[/C][C]1[/C][C]9.41629175928693e-20[/C][C]4.70814587964346e-20[/C][/ROW]
[ROW][C]97[/C][C]1[/C][C]9.84659261758198e-21[/C][C]4.92329630879099e-21[/C][/ROW]
[ROW][C]98[/C][C]1[/C][C]1.80035968840184e-20[/C][C]9.0017984420092e-21[/C][/ROW]
[ROW][C]99[/C][C]1[/C][C]1.15215207880629e-20[/C][C]5.76076039403143e-21[/C][/ROW]
[ROW][C]100[/C][C]1[/C][C]2.44021753781766e-20[/C][C]1.22010876890883e-20[/C][/ROW]
[ROW][C]101[/C][C]1[/C][C]5.42705583758708e-20[/C][C]2.71352791879354e-20[/C][/ROW]
[ROW][C]102[/C][C]1[/C][C]1.2025294165095e-19[/C][C]6.0126470825475e-20[/C][/ROW]
[ROW][C]103[/C][C]1[/C][C]2.17235806635186e-19[/C][C]1.08617903317593e-19[/C][/ROW]
[ROW][C]104[/C][C]1[/C][C]4.19669608090281e-19[/C][C]2.09834804045141e-19[/C][/ROW]
[ROW][C]105[/C][C]1[/C][C]2.81215575171504e-19[/C][C]1.40607787585752e-19[/C][/ROW]
[ROW][C]106[/C][C]1[/C][C]3.95908906986529e-19[/C][C]1.97954453493264e-19[/C][/ROW]
[ROW][C]107[/C][C]1[/C][C]4.26417851995998e-19[/C][C]2.13208925997999e-19[/C][/ROW]
[ROW][C]108[/C][C]1[/C][C]4.17518223273356e-19[/C][C]2.08759111636678e-19[/C][/ROW]
[ROW][C]109[/C][C]1[/C][C]9.01266126526619e-19[/C][C]4.50633063263309e-19[/C][/ROW]
[ROW][C]110[/C][C]1[/C][C]1.94322782442849e-18[/C][C]9.71613912214247e-19[/C][/ROW]
[ROW][C]111[/C][C]1[/C][C]3.24982264575281e-18[/C][C]1.6249113228764e-18[/C][/ROW]
[ROW][C]112[/C][C]1[/C][C]2.32753007180768e-19[/C][C]1.16376503590384e-19[/C][/ROW]
[ROW][C]113[/C][C]1[/C][C]5.22585533629959e-19[/C][C]2.6129276681498e-19[/C][/ROW]
[ROW][C]114[/C][C]1[/C][C]7.54775999194368e-19[/C][C]3.77387999597184e-19[/C][/ROW]
[ROW][C]115[/C][C]1[/C][C]6.71827383012309e-19[/C][C]3.35913691506155e-19[/C][/ROW]
[ROW][C]116[/C][C]1[/C][C]6.51608317428918e-19[/C][C]3.25804158714459e-19[/C][/ROW]
[ROW][C]117[/C][C]1[/C][C]1.33793108438701e-18[/C][C]6.68965542193506e-19[/C][/ROW]
[ROW][C]118[/C][C]1[/C][C]2.79014805205723e-18[/C][C]1.39507402602861e-18[/C][/ROW]
[ROW][C]119[/C][C]1[/C][C]1.2435709836114e-18[/C][C]6.217854918057e-19[/C][/ROW]
[ROW][C]120[/C][C]1[/C][C]6.36567595755716e-22[/C][C]3.18283797877858e-22[/C][/ROW]
[ROW][C]121[/C][C]1[/C][C]1.08183419675127e-21[/C][C]5.40917098375636e-22[/C][/ROW]
[ROW][C]122[/C][C]1[/C][C]6.71905499988444e-22[/C][C]3.35952749994222e-22[/C][/ROW]
[ROW][C]123[/C][C]1[/C][C]1.05521663752543e-21[/C][C]5.27608318762715e-22[/C][/ROW]
[ROW][C]124[/C][C]1[/C][C]3.42522049084782e-22[/C][C]1.71261024542391e-22[/C][/ROW]
[ROW][C]125[/C][C]1[/C][C]6.91599343240455e-22[/C][C]3.45799671620227e-22[/C][/ROW]
[ROW][C]126[/C][C]1[/C][C]1.44697218360219e-21[/C][C]7.23486091801094e-22[/C][/ROW]
[ROW][C]127[/C][C]1[/C][C]3.30244063755764e-21[/C][C]1.65122031877882e-21[/C][/ROW]
[ROW][C]128[/C][C]1[/C][C]5.46474468493633e-21[/C][C]2.73237234246817e-21[/C][/ROW]
[ROW][C]129[/C][C]1[/C][C]1.24553678847054e-20[/C][C]6.22768394235272e-21[/C][/ROW]
[ROW][C]130[/C][C]1[/C][C]1.60544208174233e-20[/C][C]8.02721040871164e-21[/C][/ROW]
[ROW][C]131[/C][C]1[/C][C]3.60945411330497e-20[/C][C]1.80472705665248e-20[/C][/ROW]
[ROW][C]132[/C][C]1[/C][C]3.45513191659642e-20[/C][C]1.72756595829821e-20[/C][/ROW]
[ROW][C]133[/C][C]1[/C][C]3.37931422861629e-21[/C][C]1.68965711430814e-21[/C][/ROW]
[ROW][C]134[/C][C]1[/C][C]4.25180090169365e-21[/C][C]2.12590045084682e-21[/C][/ROW]
[ROW][C]135[/C][C]1[/C][C]5.59257145037527e-22[/C][C]2.79628572518764e-22[/C][/ROW]
[ROW][C]136[/C][C]1[/C][C]9.7280910701939e-22[/C][C]4.86404553509695e-22[/C][/ROW]
[ROW][C]137[/C][C]1[/C][C]2.1910087246757e-21[/C][C]1.09550436233785e-21[/C][/ROW]
[ROW][C]138[/C][C]1[/C][C]4.23932261101201e-21[/C][C]2.119661305506e-21[/C][/ROW]
[ROW][C]139[/C][C]1[/C][C]1.40619057508756e-21[/C][C]7.03095287543779e-22[/C][/ROW]
[ROW][C]140[/C][C]1[/C][C]2.50656358230783e-21[/C][C]1.25328179115391e-21[/C][/ROW]
[ROW][C]141[/C][C]1[/C][C]4.37082752991931e-21[/C][C]2.18541376495965e-21[/C][/ROW]
[ROW][C]142[/C][C]1[/C][C]6.17624776771009e-21[/C][C]3.08812388385505e-21[/C][/ROW]
[ROW][C]143[/C][C]1[/C][C]6.47774878388239e-21[/C][C]3.23887439194119e-21[/C][/ROW]
[ROW][C]144[/C][C]1[/C][C]7.88948417567172e-21[/C][C]3.94474208783586e-21[/C][/ROW]
[ROW][C]145[/C][C]1[/C][C]1.83778722134113e-20[/C][C]9.18893610670566e-21[/C][/ROW]
[ROW][C]146[/C][C]1[/C][C]2.71240960543663e-21[/C][C]1.35620480271832e-21[/C][/ROW]
[ROW][C]147[/C][C]1[/C][C]4.68516807748492e-21[/C][C]2.34258403874246e-21[/C][/ROW]
[ROW][C]148[/C][C]1[/C][C]1.01531846301761e-20[/C][C]5.07659231508803e-21[/C][/ROW]
[ROW][C]149[/C][C]1[/C][C]1.8149636828464e-20[/C][C]9.07481841423202e-21[/C][/ROW]
[ROW][C]150[/C][C]1[/C][C]4.13308223549485e-20[/C][C]2.06654111774743e-20[/C][/ROW]
[ROW][C]151[/C][C]1[/C][C]9.47180507631811e-20[/C][C]4.73590253815905e-20[/C][/ROW]
[ROW][C]152[/C][C]1[/C][C]1.09793532256585e-19[/C][C]5.48967661282925e-20[/C][/ROW]
[ROW][C]153[/C][C]1[/C][C]2.46020434364054e-19[/C][C]1.23010217182027e-19[/C][/ROW]
[ROW][C]154[/C][C]1[/C][C]5.23183067044821e-19[/C][C]2.61591533522411e-19[/C][/ROW]
[ROW][C]155[/C][C]1[/C][C]1.0914889901866e-18[/C][C]5.45744495093299e-19[/C][/ROW]
[ROW][C]156[/C][C]1[/C][C]2.49291004284081e-18[/C][C]1.2464550214204e-18[/C][/ROW]
[ROW][C]157[/C][C]1[/C][C]5.68011630652775e-18[/C][C]2.84005815326387e-18[/C][/ROW]
[ROW][C]158[/C][C]1[/C][C]9.7093824494407e-18[/C][C]4.85469122472035e-18[/C][/ROW]
[ROW][C]159[/C][C]1[/C][C]1.92887760527068e-17[/C][C]9.64438802635341e-18[/C][/ROW]
[ROW][C]160[/C][C]1[/C][C]3.61376580831112e-17[/C][C]1.80688290415556e-17[/C][/ROW]
[ROW][C]161[/C][C]1[/C][C]2.11750268626832e-17[/C][C]1.05875134313416e-17[/C][/ROW]
[ROW][C]162[/C][C]1[/C][C]4.79280783693137e-17[/C][C]2.39640391846568e-17[/C][/ROW]
[ROW][C]163[/C][C]1[/C][C]3.26155714080644e-17[/C][C]1.63077857040322e-17[/C][/ROW]
[ROW][C]164[/C][C]1[/C][C]6.95379514572793e-17[/C][C]3.47689757286397e-17[/C][/ROW]
[ROW][C]165[/C][C]1[/C][C]4.10898848893899e-17[/C][C]2.05449424446949e-17[/C][/ROW]
[ROW][C]166[/C][C]1[/C][C]8.52033970212327e-17[/C][C]4.26016985106164e-17[/C][/ROW]
[ROW][C]167[/C][C]1[/C][C]9.10008206280424e-17[/C][C]4.55004103140212e-17[/C][/ROW]
[ROW][C]168[/C][C]1[/C][C]3.90368002390273e-18[/C][C]1.95184001195137e-18[/C][/ROW]
[ROW][C]169[/C][C]1[/C][C]7.86663284255033e-18[/C][C]3.93331642127517e-18[/C][/ROW]
[ROW][C]170[/C][C]1[/C][C]1.65127398486295e-17[/C][C]8.25636992431476e-18[/C][/ROW]
[ROW][C]171[/C][C]1[/C][C]3.22131028048721e-17[/C][C]1.61065514024361e-17[/C][/ROW]
[ROW][C]172[/C][C]1[/C][C]7.48500549376478e-17[/C][C]3.74250274688239e-17[/C][/ROW]
[ROW][C]173[/C][C]1[/C][C]7.13334289748746e-17[/C][C]3.56667144874373e-17[/C][/ROW]
[ROW][C]174[/C][C]1[/C][C]1.21658391982284e-16[/C][C]6.08291959911418e-17[/C][/ROW]
[ROW][C]175[/C][C]1[/C][C]1.63463272125055e-16[/C][C]8.17316360625274e-17[/C][/ROW]
[ROW][C]176[/C][C]1[/C][C]3.47541275593949e-16[/C][C]1.73770637796975e-16[/C][/ROW]
[ROW][C]177[/C][C]1[/C][C]7.64831379637253e-16[/C][C]3.82415689818626e-16[/C][/ROW]
[ROW][C]178[/C][C]0.999999999999999[/C][C]1.34290029751075e-15[/C][C]6.71450148755374e-16[/C][/ROW]
[ROW][C]179[/C][C]0.999999999999999[/C][C]1.36648578034359e-15[/C][C]6.83242890171794e-16[/C][/ROW]
[ROW][C]180[/C][C]1[/C][C]6.63596890349476e-16[/C][C]3.31798445174738e-16[/C][/ROW]
[ROW][C]181[/C][C]0.999999999999999[/C][C]1.51687750235357e-15[/C][C]7.58438751176787e-16[/C][/ROW]
[ROW][C]182[/C][C]0.999999999999999[/C][C]1.92585130999156e-15[/C][C]9.62925654995782e-16[/C][/ROW]
[ROW][C]183[/C][C]0.999999999999998[/C][C]4.3482414562665e-15[/C][C]2.17412072813325e-15[/C][/ROW]
[ROW][C]184[/C][C]0.999999999999997[/C][C]6.17711773772647e-15[/C][C]3.08855886886324e-15[/C][/ROW]
[ROW][C]185[/C][C]0.999999999999999[/C][C]1.38251236716366e-15[/C][C]6.9125618358183e-16[/C][/ROW]
[ROW][C]186[/C][C]0.999999999999998[/C][C]3.14315536737745e-15[/C][C]1.57157768368872e-15[/C][/ROW]
[ROW][C]187[/C][C]0.999999999999999[/C][C]2.82250515432339e-15[/C][C]1.4112525771617e-15[/C][/ROW]
[ROW][C]188[/C][C]0.999999999999997[/C][C]6.34402816954196e-15[/C][C]3.17201408477098e-15[/C][/ROW]
[ROW][C]189[/C][C]0.999999999999993[/C][C]1.40480478439054e-14[/C][C]7.02402392195269e-15[/C][/ROW]
[ROW][C]190[/C][C]0.999999999999985[/C][C]3.09146818381908e-14[/C][C]1.54573409190954e-14[/C][/ROW]
[ROW][C]191[/C][C]0.999999999999966[/C][C]6.8840245754802e-14[/C][C]3.4420122877401e-14[/C][/ROW]
[ROW][C]192[/C][C]0.999999999999933[/C][C]1.33920582021018e-13[/C][C]6.69602910105091e-14[/C][/ROW]
[ROW][C]193[/C][C]0.999999999999852[/C][C]2.96232106405035e-13[/C][C]1.48116053202517e-13[/C][/ROW]
[ROW][C]194[/C][C]0.999999999999979[/C][C]4.21904269063211e-14[/C][C]2.10952134531605e-14[/C][/ROW]
[ROW][C]195[/C][C]0.999999999999962[/C][C]7.56920995655137e-14[/C][C]3.78460497827568e-14[/C][/ROW]
[ROW][C]196[/C][C]0.999999999999914[/C][C]1.72556765274825e-13[/C][C]8.62783826374126e-14[/C][/ROW]
[ROW][C]197[/C][C]0.999999999999816[/C][C]3.68564611496168e-13[/C][C]1.84282305748084e-13[/C][/ROW]
[ROW][C]198[/C][C]0.999999999999587[/C][C]8.25251375476339e-13[/C][C]4.1262568773817e-13[/C][/ROW]
[ROW][C]199[/C][C]0.999999999999496[/C][C]1.00897094174044e-12[/C][C]5.04485470870218e-13[/C][/ROW]
[ROW][C]200[/C][C]0.999999999998877[/C][C]2.24634991596901e-12[/C][C]1.1231749579845e-12[/C][/ROW]
[ROW][C]201[/C][C]0.999999999997515[/C][C]4.96989770300643e-12[/C][C]2.48494885150322e-12[/C][/ROW]
[ROW][C]202[/C][C]0.999999999999987[/C][C]2.62309626154274e-14[/C][C]1.31154813077137e-14[/C][/ROW]
[ROW][C]203[/C][C]0.999999999999971[/C][C]5.88832989198621e-14[/C][C]2.9441649459931e-14[/C][/ROW]
[ROW][C]204[/C][C]0.999999999999933[/C][C]1.34597025397132e-13[/C][C]6.72985126985658e-14[/C][/ROW]
[ROW][C]205[/C][C]0.999999999999872[/C][C]2.56075004409411e-13[/C][C]1.28037502204705e-13[/C][/ROW]
[ROW][C]206[/C][C]0.999999999999775[/C][C]4.4919257769611e-13[/C][C]2.24596288848055e-13[/C][/ROW]
[ROW][C]207[/C][C]0.999999999999472[/C][C]1.05686296375843e-12[/C][C]5.28431481879217e-13[/C][/ROW]
[ROW][C]208[/C][C]0.999999999998887[/C][C]2.22668777296398e-12[/C][C]1.11334388648199e-12[/C][/ROW]
[ROW][C]209[/C][C]0.999999999997879[/C][C]4.24246923504289e-12[/C][C]2.12123461752145e-12[/C][/ROW]
[ROW][C]210[/C][C]0.999999999995118[/C][C]9.76477288237917e-12[/C][C]4.88238644118958e-12[/C][/ROW]
[ROW][C]211[/C][C]0.999999999990777[/C][C]1.84459613369638e-11[/C][C]9.22298066848191e-12[/C][/ROW]
[ROW][C]212[/C][C]0.999999999980203[/C][C]3.95946225207661e-11[/C][C]1.9797311260383e-11[/C][/ROW]
[ROW][C]213[/C][C]0.999999999956595[/C][C]8.68105401842562e-11[/C][C]4.34052700921281e-11[/C][/ROW]
[ROW][C]214[/C][C]0.999999999912519[/C][C]1.74961664048364e-10[/C][C]8.74808320241822e-11[/C][/ROW]
[ROW][C]215[/C][C]0.999999999918011[/C][C]1.63978220234066e-10[/C][C]8.19891101170331e-11[/C][/ROW]
[ROW][C]216[/C][C]0.999999999821419[/C][C]3.57161112777753e-10[/C][C]1.78580556388877e-10[/C][/ROW]
[ROW][C]217[/C][C]0.999999999722833[/C][C]5.54333995612133e-10[/C][C]2.77166997806067e-10[/C][/ROW]
[ROW][C]218[/C][C]0.999999999399186[/C][C]1.20162779551014e-09[/C][C]6.00813897755072e-10[/C][/ROW]
[ROW][C]219[/C][C]0.999999998831355[/C][C]2.33729004191674e-09[/C][C]1.16864502095837e-09[/C][/ROW]
[ROW][C]220[/C][C]0.999999997947255[/C][C]4.10548940730453e-09[/C][C]2.05274470365226e-09[/C][/ROW]
[ROW][C]221[/C][C]0.99999999658376[/C][C]6.8324792630379e-09[/C][C]3.41623963151895e-09[/C][/ROW]
[ROW][C]222[/C][C]0.999999994260623[/C][C]1.14787539481538e-08[/C][C]5.73937697407689e-09[/C][/ROW]
[ROW][C]223[/C][C]0.999999989357766[/C][C]2.12844679343715e-08[/C][C]1.06422339671857e-08[/C][/ROW]
[ROW][C]224[/C][C]0.999999978076252[/C][C]4.38474967182674e-08[/C][C]2.19237483591337e-08[/C][/ROW]
[ROW][C]225[/C][C]0.999999973239213[/C][C]5.35215733221445e-08[/C][C]2.67607866610723e-08[/C][/ROW]
[ROW][C]226[/C][C]0.999999958347353[/C][C]8.33052939545814e-08[/C][C]4.16526469772907e-08[/C][/ROW]
[ROW][C]227[/C][C]0.999999933705966[/C][C]1.32588067257966e-07[/C][C]6.62940336289832e-08[/C][/ROW]
[ROW][C]228[/C][C]0.99999986830774[/C][C]2.63384519031979e-07[/C][C]1.31692259515989e-07[/C][/ROW]
[ROW][C]229[/C][C]0.999999996218232[/C][C]7.56353696638158e-09[/C][C]3.78176848319079e-09[/C][/ROW]
[ROW][C]230[/C][C]0.999999994683447[/C][C]1.0633106622828e-08[/C][C]5.31655331141402e-09[/C][/ROW]
[ROW][C]231[/C][C]0.999999988146884[/C][C]2.37062322230832e-08[/C][C]1.18531161115416e-08[/C][/ROW]
[ROW][C]232[/C][C]0.99999997395844[/C][C]5.20831192375946e-08[/C][C]2.60415596187973e-08[/C][/ROW]
[ROW][C]233[/C][C]0.999999963241569[/C][C]7.35168623192428e-08[/C][C]3.67584311596214e-08[/C][/ROW]
[ROW][C]234[/C][C]0.999999958812329[/C][C]8.23753414519138e-08[/C][C]4.11876707259569e-08[/C][/ROW]
[ROW][C]235[/C][C]0.999999911946141[/C][C]1.76107717641907e-07[/C][C]8.80538588209534e-08[/C][/ROW]
[ROW][C]236[/C][C]0.999999805321985[/C][C]3.89356029594376e-07[/C][C]1.94678014797188e-07[/C][/ROW]
[ROW][C]237[/C][C]0.999999676057291[/C][C]6.47885417525687e-07[/C][C]3.23942708762843e-07[/C][/ROW]
[ROW][C]238[/C][C]0.999999940407839[/C][C]1.19184321870969e-07[/C][C]5.95921609354846e-08[/C][/ROW]
[ROW][C]239[/C][C]0.999999872260595[/C][C]2.55478811048062e-07[/C][C]1.27739405524031e-07[/C][/ROW]
[ROW][C]240[/C][C]0.999999805727003[/C][C]3.88545993583613e-07[/C][C]1.94272996791806e-07[/C][/ROW]
[ROW][C]241[/C][C]0.999999636148632[/C][C]7.27702736261921e-07[/C][C]3.6385136813096e-07[/C][/ROW]
[ROW][C]242[/C][C]0.999999601277768[/C][C]7.97444463813539e-07[/C][C]3.9872223190677e-07[/C][/ROW]
[ROW][C]243[/C][C]0.999999371666917[/C][C]1.25666616649001e-06[/C][C]6.28333083245003e-07[/C][/ROW]
[ROW][C]244[/C][C]0.999998711708276[/C][C]2.5765834482785e-06[/C][C]1.28829172413925e-06[/C][/ROW]
[ROW][C]245[/C][C]0.999998668235145[/C][C]2.66352970951187e-06[/C][C]1.33176485475593e-06[/C][/ROW]
[ROW][C]246[/C][C]0.999999784761461[/C][C]4.3047707810612e-07[/C][C]2.1523853905306e-07[/C][/ROW]
[ROW][C]247[/C][C]0.99999976473665[/C][C]4.70526700298231e-07[/C][C]2.35263350149115e-07[/C][/ROW]
[ROW][C]248[/C][C]0.999999516690772[/C][C]9.66618455926445e-07[/C][C]4.83309227963223e-07[/C][/ROW]
[ROW][C]249[/C][C]0.99999886541913[/C][C]2.26916173941424e-06[/C][C]1.13458086970712e-06[/C][/ROW]
[ROW][C]250[/C][C]0.999998405544808[/C][C]3.18891038416944e-06[/C][C]1.59445519208472e-06[/C][/ROW]
[ROW][C]251[/C][C]0.999995979886011[/C][C]8.04022797775254e-06[/C][C]4.02011398887627e-06[/C][/ROW]
[ROW][C]252[/C][C]0.999995115908442[/C][C]9.76818311671353e-06[/C][C]4.88409155835676e-06[/C][/ROW]
[ROW][C]253[/C][C]0.99998981609558[/C][C]2.03678088390047e-05[/C][C]1.01839044195023e-05[/C][/ROW]
[ROW][C]254[/C][C]0.999977140814825[/C][C]4.5718370349628e-05[/C][C]2.2859185174814e-05[/C][/ROW]
[ROW][C]255[/C][C]0.999952048708432[/C][C]9.59025831358252e-05[/C][C]4.79512915679126e-05[/C][/ROW]
[ROW][C]256[/C][C]0.999891131576746[/C][C]0.000217736846508361[/C][C]0.00010886842325418[/C][/ROW]
[ROW][C]257[/C][C]0.999815983078358[/C][C]0.000368033843283668[/C][C]0.000184016921641834[/C][/ROW]
[ROW][C]258[/C][C]0.99980799996756[/C][C]0.000384000064880279[/C][C]0.00019200003244014[/C][/ROW]
[ROW][C]259[/C][C]0.999561986928767[/C][C]0.000876026142465348[/C][C]0.000438013071232674[/C][/ROW]
[ROW][C]260[/C][C]0.999462638776543[/C][C]0.00107472244691318[/C][C]0.000537361223456591[/C][/ROW]
[ROW][C]261[/C][C]0.999377723047266[/C][C]0.00124455390546716[/C][C]0.000622276952733578[/C][/ROW]
[ROW][C]262[/C][C]0.998890728208602[/C][C]0.00221854358279665[/C][C]0.00110927179139833[/C][/ROW]
[ROW][C]263[/C][C]0.999510080495877[/C][C]0.00097983900824703[/C][C]0.000489919504123515[/C][/ROW]
[ROW][C]264[/C][C]0.99865223302062[/C][C]0.00269553395875936[/C][C]0.00134776697937968[/C][/ROW]
[ROW][C]265[/C][C]0.997306938343281[/C][C]0.00538612331343824[/C][C]0.00269306165671912[/C][/ROW]
[ROW][C]266[/C][C]0.993310529950594[/C][C]0.0133789400988119[/C][C]0.00668947004940596[/C][/ROW]
[ROW][C]267[/C][C]0.993611383054279[/C][C]0.0127772338914419[/C][C]0.00638861694572094[/C][/ROW]
[ROW][C]268[/C][C]0.989027868492969[/C][C]0.0219442630140628[/C][C]0.0109721315070314[/C][/ROW]
[ROW][C]269[/C][C]0.981839267003048[/C][C]0.0363214659939048[/C][C]0.0181607329969524[/C][/ROW]
[ROW][C]270[/C][C]0.967543672473728[/C][C]0.064912655052544[/C][C]0.032456327526272[/C][/ROW]
[ROW][C]271[/C][C]0.907572204647662[/C][C]0.184855590704676[/C][C]0.0924277953523382[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197691&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197691&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
180.6152632545671650.769473490865670.384736745432835
190.4579392291712240.9158784583424470.542060770828776
200.7764036066965190.4471927866069620.223596393303481
210.7169642134935780.5660715730128430.283035786506422
220.6885862740961310.6228274518077370.311413725903869
230.598008666808520.803982666382960.40199133319148
240.5369171349669820.9261657300660350.463082865033018
250.7635768786740570.4728462426518860.236423121325943
260.6939365877304540.6121268245390930.306063412269546
270.6253698118597230.7492603762805530.374630188140277
280.5497706587194250.9004586825611510.450229341280575
290.482903050890940.9658061017818790.51709694910906
300.4466832243583060.8933664487166130.553316775641694
310.4026076595139710.8052153190279420.597392340486029
320.3322429099082680.6644858198165360.667757090091732
330.2801183488964310.5602366977928620.719881651103569
340.2397634425081290.4795268850162580.760236557491871
350.1896612325869790.3793224651739580.810338767413021
360.1471948128935930.2943896257871860.852805187106407
370.1237603469493920.2475206938987840.876239653050608
380.1128384698967880.2256769397935760.887161530103212
390.08566065749621840.1713213149924370.914339342503782
400.0637296508942450.127459301788490.936270349105755
410.05977903291924390.1195580658384880.940220967080756
420.05686293656678430.1137258731335690.943137063433216
430.06388400419836220.1277680083967240.936115995801638
440.04723613396297630.09447226792595250.952763866037024
450.03830250283543810.07660500567087620.961697497164562
460.02819250713960340.05638501427920690.971807492860397
470.02702947937917160.05405895875834310.972970520620828
480.04318678455652190.08637356911304380.956813215443478
490.03200774646459220.06401549292918430.967992253535408
500.9999999999633957.32094265030187e-113.66047132515094e-11
510.9999999999327041.34591442462533e-106.72957212312663e-11
520.9999999999790554.18904548501483e-112.09452274250742e-11
530.999999999956968.60808832518611e-114.30404416259306e-11
540.999999999920231.59540920053643e-107.97704600268213e-11
550.999999999865532.68938995595729e-101.34469497797864e-10
560.9999999999527149.45727245209962e-114.72863622604981e-11
570.999999999922641.54720257378439e-107.73601286892193e-11
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1880.9999999999999976.34402816954196e-153.17201408477098e-15
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1900.9999999999999853.09146818381908e-141.54573409190954e-14
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1920.9999999999999331.33920582021018e-136.69602910105091e-14
1930.9999999999998522.96232106405035e-131.48116053202517e-13
1940.9999999999999794.21904269063211e-142.10952134531605e-14
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1970.9999999999998163.68564611496168e-131.84282305748084e-13
1980.9999999999995878.25251375476339e-134.1262568773817e-13
1990.9999999999994961.00897094174044e-125.04485470870218e-13
2000.9999999999988772.24634991596901e-121.1231749579845e-12
2010.9999999999975154.96989770300643e-122.48494885150322e-12
2020.9999999999999872.62309626154274e-141.31154813077137e-14
2030.9999999999999715.88832989198621e-142.9441649459931e-14
2040.9999999999999331.34597025397132e-136.72985126985658e-14
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2060.9999999999997754.4919257769611e-132.24596288848055e-13
2070.9999999999994721.05686296375843e-125.28431481879217e-13
2080.9999999999988872.22668777296398e-121.11334388648199e-12
2090.9999999999978794.24246923504289e-122.12123461752145e-12
2100.9999999999951189.76477288237917e-124.88238644118958e-12
2110.9999999999907771.84459613369638e-119.22298066848191e-12
2120.9999999999802033.95946225207661e-111.9797311260383e-11
2130.9999999999565958.68105401842562e-114.34052700921281e-11
2140.9999999999125191.74961664048364e-108.74808320241822e-11
2150.9999999999180111.63978220234066e-108.19891101170331e-11
2160.9999999998214193.57161112777753e-101.78580556388877e-10
2170.9999999997228335.54333995612133e-102.77166997806067e-10
2180.9999999993991861.20162779551014e-096.00813897755072e-10
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2240.9999999780762524.38474967182674e-082.19237483591337e-08
2250.9999999732392135.35215733221445e-082.67607866610723e-08
2260.9999999583473538.33052939545814e-084.16526469772907e-08
2270.9999999337059661.32588067257966e-076.62940336289832e-08
2280.999999868307742.63384519031979e-071.31692259515989e-07
2290.9999999962182327.56353696638158e-093.78176848319079e-09
2300.9999999946834471.0633106622828e-085.31655331141402e-09
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2320.999999973958445.20831192375946e-082.60415596187973e-08
2330.9999999632415697.35168623192428e-083.67584311596214e-08
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2350.9999999119461411.76107717641907e-078.80538588209534e-08
2360.9999998053219853.89356029594376e-071.94678014797188e-07
2370.9999996760572916.47885417525687e-073.23942708762843e-07
2380.9999999404078391.19184321870969e-075.95921609354846e-08
2390.9999998722605952.55478811048062e-071.27739405524031e-07
2400.9999998057270033.88545993583613e-071.94272996791806e-07
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2710.9075722046476620.1848555907046760.0924277953523382







Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2160.850393700787402NOK
5% type I error level2200.866141732283465NOK
10% type I error level2270.893700787401575NOK

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
Description & # significant tests & % significant tests & OK/NOK \tabularnewline
1% type I error level & 216 & 0.850393700787402 & NOK \tabularnewline
5% type I error level & 220 & 0.866141732283465 & NOK \tabularnewline
10% type I error level & 227 & 0.893700787401575 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197691&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]216[/C][C]0.850393700787402[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]220[/C][C]0.866141732283465[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]227[/C][C]0.893700787401575[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197691&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197691&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 level2160.850393700787402NOK
5% type I error level2200.866141732283465NOK
10% type I error level2270.893700787401575NOK



Parameters (Session):
par1 = pearson ;
Parameters (R input):
par1 = 9 ; 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')
}