Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationFri, 16 Dec 2011 04:47:55 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/16/t13240289422bsj4auxv4cnqyu.htm/, Retrieved Sun, 05 May 2024 13:42:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=155773, Retrieved Sun, 05 May 2024 13:42:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact113
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [paper stap 3 MR] [2011-12-16 09:47:55] [13dfa60174f50d862e8699db2153bfc5] [Current]
Feedback Forum

Post a new message
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 time11 seconds
R Server'AstonUniversity' @ aston.wessa.net
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.

\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 & 11 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
R Framework error message & 
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=155773&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]11 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=155773&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155773&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 time11 seconds
R Server'AstonUniversity' @ aston.wessa.net
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.







Multiple Linear Regression - Estimated Regression Equation
pageviews[t] = + 98.8872054736608 + 0.000344049910578723time_in_rfc[t] + 3.22852641714714logins[t] + 1.76516246435956compendium_views_info[t] + 1.50473716320283compendium_views_pr[t] + 5.6732975197727shared_compendiums[t] + 2.24009034763433blogged_computations[t] -4.56011864836741compendiums_reviewed[t] + 1.18857866986645feedback_messages_p1[t] + 0.317886548785108feedback_messages_p120[t] + 4.66185528474878e-05totsize[t] -0.00420142174884696totrevisions[t] + 0.000424621771053853totseconds[t] + 3.46266759374286tothyperlinks[t] -3.6358104560958`totblogs `[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
pageviews[t] =  +  98.8872054736608 +  0.000344049910578723time_in_rfc[t] +  3.22852641714714logins[t] +  1.76516246435956compendium_views_info[t] +  1.50473716320283compendium_views_pr[t] +  5.6732975197727shared_compendiums[t] +  2.24009034763433blogged_computations[t] -4.56011864836741compendiums_reviewed[t] +  1.18857866986645feedback_messages_p1[t] +  0.317886548785108feedback_messages_p120[t] +  4.66185528474878e-05totsize[t] -0.00420142174884696totrevisions[t] +  0.000424621771053853totseconds[t] +  3.46266759374286tothyperlinks[t] -3.6358104560958`totblogs
`[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155773&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]pageviews[t] =  +  98.8872054736608 +  0.000344049910578723time_in_rfc[t] +  3.22852641714714logins[t] +  1.76516246435956compendium_views_info[t] +  1.50473716320283compendium_views_pr[t] +  5.6732975197727shared_compendiums[t] +  2.24009034763433blogged_computations[t] -4.56011864836741compendiums_reviewed[t] +  1.18857866986645feedback_messages_p1[t] +  0.317886548785108feedback_messages_p120[t] +  4.66185528474878e-05totsize[t] -0.00420142174884696totrevisions[t] +  0.000424621771053853totseconds[t] +  3.46266759374286tothyperlinks[t] -3.6358104560958`totblogs
`[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155773&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155773&T=1

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Estimated Regression Equation
pageviews[t] = + 98.8872054736608 + 0.000344049910578723time_in_rfc[t] + 3.22852641714714logins[t] + 1.76516246435956compendium_views_info[t] + 1.50473716320283compendium_views_pr[t] + 5.6732975197727shared_compendiums[t] + 2.24009034763433blogged_computations[t] -4.56011864836741compendiums_reviewed[t] + 1.18857866986645feedback_messages_p1[t] + 0.317886548785108feedback_messages_p120[t] + 4.66185528474878e-05totsize[t] -0.00420142174884696totrevisions[t] + 0.000424621771053853totseconds[t] + 3.46266759374286tothyperlinks[t] -3.6358104560958`totblogs `[t] + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)98.887205473660825.6103253.86120.0001417e-05
time_in_rfc0.0003440499105787230.0004510.76330.4459570.222979
logins3.228526417147140.417987.724100
compendium_views_info1.765162464359560.08865719.9100
compendium_views_pr1.504737163202830.2299466.543900
shared_compendiums5.67329751977274.0877841.38790.1663050.083153
blogged_computations2.240090347634330.6705723.34060.0009520.000476
compendiums_reviewed-4.560118648367415.159554-0.88380.3775680.188784
feedback_messages_p11.188578669866451.5663630.75880.4486160.224308
feedback_messages_p1200.3178865487851080.7802470.40740.6840190.34201
totsize4.66185528474878e-050.0004850.09610.9234860.461743
totrevisions-0.004201421748846960.002394-1.75490.0803960.040198
totseconds0.0004246217710538530.0006550.64850.5172230.258611
tothyperlinks3.462667593742863.2554921.06360.2884290.144214
`totblogs `-3.63581045609583.373849-1.07760.282140.14107

\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) & 98.8872054736608 & 25.610325 & 3.8612 & 0.000141 & 7e-05 \tabularnewline
time_in_rfc & 0.000344049910578723 & 0.000451 & 0.7633 & 0.445957 & 0.222979 \tabularnewline
logins & 3.22852641714714 & 0.41798 & 7.7241 & 0 & 0 \tabularnewline
compendium_views_info & 1.76516246435956 & 0.088657 & 19.91 & 0 & 0 \tabularnewline
compendium_views_pr & 1.50473716320283 & 0.229946 & 6.5439 & 0 & 0 \tabularnewline
shared_compendiums & 5.6732975197727 & 4.087784 & 1.3879 & 0.166305 & 0.083153 \tabularnewline
blogged_computations & 2.24009034763433 & 0.670572 & 3.3406 & 0.000952 & 0.000476 \tabularnewline
compendiums_reviewed & -4.56011864836741 & 5.159554 & -0.8838 & 0.377568 & 0.188784 \tabularnewline
feedback_messages_p1 & 1.18857866986645 & 1.566363 & 0.7588 & 0.448616 & 0.224308 \tabularnewline
feedback_messages_p120 & 0.317886548785108 & 0.780247 & 0.4074 & 0.684019 & 0.34201 \tabularnewline
totsize & 4.66185528474878e-05 & 0.000485 & 0.0961 & 0.923486 & 0.461743 \tabularnewline
totrevisions & -0.00420142174884696 & 0.002394 & -1.7549 & 0.080396 & 0.040198 \tabularnewline
totseconds & 0.000424621771053853 & 0.000655 & 0.6485 & 0.517223 & 0.258611 \tabularnewline
tothyperlinks & 3.46266759374286 & 3.255492 & 1.0636 & 0.288429 & 0.144214 \tabularnewline
`totblogs
` & -3.6358104560958 & 3.373849 & -1.0776 & 0.28214 & 0.14107 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155773&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]98.8872054736608[/C][C]25.610325[/C][C]3.8612[/C][C]0.000141[/C][C]7e-05[/C][/ROW]
[ROW][C]time_in_rfc[/C][C]0.000344049910578723[/C][C]0.000451[/C][C]0.7633[/C][C]0.445957[/C][C]0.222979[/C][/ROW]
[ROW][C]logins[/C][C]3.22852641714714[/C][C]0.41798[/C][C]7.7241[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]compendium_views_info[/C][C]1.76516246435956[/C][C]0.088657[/C][C]19.91[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]compendium_views_pr[/C][C]1.50473716320283[/C][C]0.229946[/C][C]6.5439[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]shared_compendiums[/C][C]5.6732975197727[/C][C]4.087784[/C][C]1.3879[/C][C]0.166305[/C][C]0.083153[/C][/ROW]
[ROW][C]blogged_computations[/C][C]2.24009034763433[/C][C]0.670572[/C][C]3.3406[/C][C]0.000952[/C][C]0.000476[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]-4.56011864836741[/C][C]5.159554[/C][C]-0.8838[/C][C]0.377568[/C][C]0.188784[/C][/ROW]
[ROW][C]feedback_messages_p1[/C][C]1.18857866986645[/C][C]1.566363[/C][C]0.7588[/C][C]0.448616[/C][C]0.224308[/C][/ROW]
[ROW][C]feedback_messages_p120[/C][C]0.317886548785108[/C][C]0.780247[/C][C]0.4074[/C][C]0.684019[/C][C]0.34201[/C][/ROW]
[ROW][C]totsize[/C][C]4.66185528474878e-05[/C][C]0.000485[/C][C]0.0961[/C][C]0.923486[/C][C]0.461743[/C][/ROW]
[ROW][C]totrevisions[/C][C]-0.00420142174884696[/C][C]0.002394[/C][C]-1.7549[/C][C]0.080396[/C][C]0.040198[/C][/ROW]
[ROW][C]totseconds[/C][C]0.000424621771053853[/C][C]0.000655[/C][C]0.6485[/C][C]0.517223[/C][C]0.258611[/C][/ROW]
[ROW][C]tothyperlinks[/C][C]3.46266759374286[/C][C]3.255492[/C][C]1.0636[/C][C]0.288429[/C][C]0.144214[/C][/ROW]
[ROW][C]`totblogs
`[/C][C]-3.6358104560958[/C][C]3.373849[/C][C]-1.0776[/C][C]0.28214[/C][C]0.14107[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155773&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155773&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)98.887205473660825.6103253.86120.0001417e-05
time_in_rfc0.0003440499105787230.0004510.76330.4459570.222979
logins3.228526417147140.417987.724100
compendium_views_info1.765162464359560.08865719.9100
compendium_views_pr1.504737163202830.2299466.543900
shared_compendiums5.67329751977274.0877841.38790.1663050.083153
blogged_computations2.240090347634330.6705723.34060.0009520.000476
compendiums_reviewed-4.560118648367415.159554-0.88380.3775680.188784
feedback_messages_p11.188578669866451.5663630.75880.4486160.224308
feedback_messages_p1200.3178865487851080.7802470.40740.6840190.34201
totsize4.66185528474878e-050.0004850.09610.9234860.461743
totrevisions-0.004201421748846960.002394-1.75490.0803960.040198
totseconds0.0004246217710538530.0006550.64850.5172230.258611
tothyperlinks3.462667593742863.2554921.06360.2884290.144214
`totblogs `-3.63581045609583.373849-1.07760.282140.14107







Multiple Linear Regression - Regression Statistics
Multiple R0.977029313846888
R-squared0.954586280116121
Adjusted R-squared0.95226587107096
F-TEST (value)411.387070786741
F-TEST (DF numerator)14
F-TEST (DF denominator)274
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation160.845186170466
Sum Squared Residuals7088701.65249402

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.977029313846888 \tabularnewline
R-squared & 0.954586280116121 \tabularnewline
Adjusted R-squared & 0.95226587107096 \tabularnewline
F-TEST (value) & 411.387070786741 \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 & 160.845186170466 \tabularnewline
Sum Squared Residuals & 7088701.65249402 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155773&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.977029313846888[/C][/ROW]
[ROW][C]R-squared[/C][C]0.954586280116121[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.95226587107096[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]411.387070786741[/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]160.845186170466[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]7088701.65249402[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155773&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155773&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 R0.977029313846888
R-squared0.954586280116121
Adjusted R-squared0.95226587107096
F-TEST (value)411.387070786741
F-TEST (DF numerator)14
F-TEST (DF denominator)274
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation160.845186170466
Sum Squared Residuals7088701.65249402







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
114181334.0437574675183.956242532486
28691073.94024761721-204.940247617212
315301592.33473788381-62.3347378838098
421722527.77508671057-355.775086710574
5901911.49188787962-10.4918878796198
6463525.899174781499-62.8991747814989
732013625.39679955676-424.396799556761
8371431.577630920943-60.5776309209434
911921166.4785382493325.5214617506673
1015831621.70426408957-38.7042640895746
1114391380.3147664589258.6852335410825
1217641895.96009742922-131.960097429223
1314951574.53816195062-79.5381619506184
1413731454.4980327367-81.4980327366973
1521872290.72297033565-103.722970335652
1614911510.94828429998-19.9482842999769
1740413759.42377465071281.576225349286
1817061709.08725370537-3.08725370536838
1921522372.8053023686-220.805302368597
2010361158.1175074323-122.1175074323
2118821781.61990245868100.380097541317
2219291763.09689592984165.903104070159
2322422472.24395123627-230.243951236272
2412201180.7992290001839.2007709998208
2512891317.67836271471-28.6783627147148
2625152597.48013595032-82.4801359503175
2721472118.7324839310728.2675160689264
2823522453.22234914736-101.222349147358
2916381624.5713276712513.4286723287514
3012221291.09502290883-69.0950229088306
3118121973.17884399557-161.178843995568
3216771728.84070744868-51.8407074486819
3315791560.8081814584718.1918185415337
3417311861.55629977465-130.556299774649
35807881.93190908344-74.9319090834394
3624522529.45689031271-77.4568903127124
37829807.46803565657121.5319643434286
3819402063.67557516443-123.675575164434
3926622471.04957776604190.950422233957
40186279.659142674358-93.6591426743576
4114991479.0994703966719.9005296033264
42865788.02025925854776.9797407414528
4317931525.92921512092267.070784879084
4425272561.80792105991-34.8079210599061
4527472961.00969004342-214.009690043421
4613241520.10921766807-196.109217668069
4727022396.51766239634305.482337603658
4813831520.32316635569-137.323166355688
4911791038.54555687782140.454443122178
5020992055.9164264995943.0835735004149
5143084759.94587219191-451.94587219191
52918974.654835176747-56.6548351767475
5318311649.35586721098181.644132789018
5433733040.31324648423332.686753515774
5517131865.89334551627-152.89334551627
5614381389.6682015672148.3317984327886
57496609.899160478377-113.899160478377
5822532768.62843633088-515.62843633088
59744743.6441790477640.355820952236194
6011611334.85604448509-173.856044485086
6123522139.27753473391212.722465266089
6221441758.82134458301385.178655416993
6346913552.715248975641138.28475102436
6411121107.308986830224.69101316977774
6526942464.64689118623229.353108813774
6619732276.32481792967-303.324817929669
6717691885.836171237-116.836171237003
6831482860.97621083899287.023789161012
6924742493.65304154543-19.6530415454343
7020842219.8726484248-135.872648424804
7119541866.8980762694587.1019237305493
7212261357.07871121497-131.078711214969
7313891236.16307551304152.836924486961
7414961531.39220195433-35.3922019543327
7522692128.15632795209140.843672047915
7618331924.39950214933-91.3995021493253
7712681469.81351301852-201.813513018522
7819431823.63695551359119.363044486411
798931067.78611859636-174.786118596364
8017621658.69936664448103.300633355515
8114031625.89444883846-222.894448838464
8214251451.29577697101-26.295776971009
8318572193.42115791347-336.421157913475
8418402008.01912702524-168.019127025236
8515021504.44208136811-2.44208136811499
8614411388.7304873937752.2695126062308
8714201493.7834854565-73.7834854565033
8814161348.570765686267.4292343138032
8929702684.29378680504285.706213194962
9013171651.51134415217-334.51134415217
9116441462.66494260836181.335057391639
928701127.15998092104-257.15998092104
9316541846.1675440414-192.167544041401
9410541008.7815107380545.2184892619501
95937877.04428743221259.9557125677881
9630043257.34877322458-253.348773224581
9720081946.0942051342561.9057948657544
9825472375.85523213856171.144767861444
9918851788.8852192246996.1147807753147
10016261660.20334674944-34.2033467494423
10114681389.675248460778.3247515392991
10224452316.53576659409128.464233405911
10319642037.07155028623-73.0715502862282
10413811323.1213404822357.8786595177725
10513691356.2837663886412.7162336113609
10616591757.04753191207-98.0475319120667
10728882691.02369715692196.976302843081
10812901045.32677206754244.673227932461
10928452879.6753755059-34.6753755059011
11019821934.6266151980247.3733848019796
11119041948.01372802204-44.013728022041
11213911606.75962923488-215.759629234881
113602642.096417206094-40.0964172060943
11417431664.2096557694378.79034423057
11515591657.74975358155-98.7497535815542
11620142170.8418869696-156.841886969597
11721432246.81881386245-103.81881386245
11821461984.86576080194161.134239198063
119874885.488117308486-11.4881173084857
12015901491.6357242632198.3642757367883
12115901432.36190816808157.638091831923
12212101287.9364673088-77.936467308799
12320722034.8055845441837.1944154558189
12412811403.86986317362-122.869863173616
12514011376.2999672130424.7000327869646
126834806.1993722505927.8006277494107
12711051142.38059310806-37.3805931080626
12812721041.91628922061230.083710779391
12919441843.32412457306100.67587542694
130391446.393062369773-55.393062369773
131761733.28762747242627.7123725275744
13216051638.8448957242-33.8448957242019
133530649.759757444524-119.759757444524
13419881695.20260928753292.797390712471
13513861418.12527038316-32.1252703831647
13623952549.41941259733-154.419412597332
137387428.20986270886-41.2098627088597
13817421817.97708978721-75.9770897872098
139620572.78928138770247.2107186122975
140449576.326149832999-127.326149832999
141800834.01856424116-34.01856424116
14216841470.87123698708213.128763012919
14310501106.42542668521-56.4254266852084
14426992648.5520164240550.4479835759472
14516061522.0302410689183.9697589310937
14615021282.04535534908219.954644650917
14712041283.49414275224-79.4941427522442
14811381109.5915147974128.408485202586
149568821.007438304703-253.007438304703
15014591427.918632655831.0813673442022
15121582191.32367598904-33.3236759890366
15211111221.15492643091-110.154926430908
15314211318.54986910047102.450130899532
15428333121.14049549786-288.140495497859
15519552172.84935197737-217.84935197737
15629222761.71002399022160.289976009785
15710021138.19579056901-136.195790569014
15810601154.94173188442-94.9417318844188
159956996.056841248205-40.0568412482046
16021862604.0047751482-418.004775148195
16136043373.67061547277230.329384527231
16210351086.60826524236-51.6082652423638
16314171509.14073997346-92.1407399734573
16432613414.87384240248-153.873842402483
16515871617.95824652389-30.9582465238895
16614241423.741630072730.258369927267304
16717011785.77291105222-84.7729110522175
16812491386.68912976293-137.689129762933
169946930.15820646723815.8417935327617
17019261800.33686125819125.663138741806
17133523332.5140305585419.4859694414583
17216411650.13029682469-9.1302968246895
17320351808.66534795217226.334652047826
17423122134.26217256403177.73782743597
17513691584.66473472504-215.664734725043
17615771577.12366230773-0.123662307733426
17722012139.6862871018361.3137128981665
178961944.97554206824416.0244579317556
17919001867.6062315304432.3937684695634
18012541270.52253013172-16.52253013172
18113351284.7281185197250.2718814802821
18215971511.4562316031585.54376839685
183207289.341195858671-82.3411958586707
18416451551.0462108075393.9537891924668
18524292368.5440161962660.4559838037417
186151262.313620314229-111.313620314229
187474671.656655635443-197.656655635444
188141240.596110923947-99.596110923947
18916391375.0715493525263.928450647498
190872849.48988009831322.510119901687
19113181216.08412326713101.915876732874
19210181183.04722314385-165.047223143852
19313831296.458156773186.5418432268993
19413141137.19429792963176.805702070366
19513351371.49776137608-36.4977613760839
19614031327.4226523954675.5773476045442
197910998.771400302078-88.7714003020781
198616667.913492051727-51.9134920517266
19914071452.03478953487-45.0347895348698
200771808.178684572968-37.1786845729683
201766764.1503145949481.84968540505159
202473488.335386882645-15.3353868826453
20313761430.51494479205-54.5149447920521
20412321200.1006835535331.8993164464726
20515211492.5949924603128.405007539687
206572576.823578692006-4.8235786920062
2071059895.223154600105163.776845399895
20815441588.79414800058-44.7941480005821
20912301207.5864497133222.4135502866817
21012061231.33970908941-25.3397090894091
21112051112.8917897082392.108210291773
21212551017.54535290411237.454647095893
213613604.3251099293358.67489007066492
214721807.677781530367-86.6777815303668
21511091026.5883605395482.4116394604602
216740693.62094831376146.3790516862386
21711261125.147534637590.852465362414455
218728796.100880215395-68.1008802153954
219689741.919036343679-52.919036343679
220592622.233496085647-30.2334960856473
221995921.170289031573.8297109685005
22216131181.55477289554431.445227104456
22320481753.11316473498294.886835265021
224705626.1459185786278.8540814213795
225301394.636983083235-93.6369830832354
22618031728.7306013436774.2693986563336
227799824.706032538106-25.7060325381058
228861959.186320500938-98.1863205009378
22911861055.16072873457130.839271265427
23014511125.26703631983325.732963680167
231628573.49157562833654.5084243716639
2321161965.354621772854195.645378227146
23314631358.04185500944104.958144990557
234742717.47475221163324.525247788367
2359791048.01997794674-69.019977946742
236675689.983418268225-14.9834182682248
23712411195.2527391986545.7472608013495
238676646.80658901079629.1934109892045
23910491047.838622473831.16137752617276
240620677.54910209518-57.5491020951802
2411081975.99129327845105.008706721551
24216881429.39835384618258.601646153817
243736748.886637832913-12.8866378329127
244617668.291688076519-51.2916880765185
245812858.117607551159-46.1176075511586
24610511032.6630737551618.3369262448368
24716561410.15954529106245.840454708936
248705787.892554714551-82.892554714551
2499451035.4819285162-90.4819285161962
250554636.592244456914-82.5922444569138
25115971591.285129143125.7148708568798
252982971.6190300556210.3809699443803
253222307.366502737819-85.3665027378194
25412121214.34454925157-2.3445492515717
25511431206.5592962295-63.5592962294956
256435516.55751562088-81.5575156208799
257532541.448563962857-9.4485639628567
258882947.075201626871-65.0752016268713
259608610.326469552447-2.32646955244657
260459460.945384961912-1.94538496191224
261578603.728814055326-25.7288140553262
262826792.0679512916433.9320487083596
263509448.41643658252560.5835634174746
264717654.25031442011162.7496855798891
265637689.150286878938-52.1502868789382
266857855.0577952384261.94220476157401
267830865.445196707383-35.4451967073831
268652814.364768486689-162.364768486689
269707797.787300158224-90.7873001582239
2709541015.17751921818-61.177519218181
27114611308.05001637427152.949983625734
272672739.412882023129-67.4128820231285
273778800.97542206262-22.9754220626208
27411411138.940964132962.05903586704189
275680629.76180495987350.2381950401275
2761090999.53860786757690.4613921324244
277616542.79902067016673.2009793298344
278285327.741961761865-42.7419617618654
27911451021.02514765723123.974852342765
280733763.616063801933-30.6160638019326
281888894.394198316745-6.39419831674548
282849871.720680209284-22.7206802092838
28311821152.0151931738429.9848068261585
284528561.307254862491-33.3072548624907
285642708.44373830914-66.4437383091397
286947562.402214027473384.597785972527
287819685.748143764062133.251856235938
288757657.29691672386699.7030832761338
289894877.25109255222416.7489074477764

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 1418 & 1334.04375746751 & 83.956242532486 \tabularnewline
2 & 869 & 1073.94024761721 & -204.940247617212 \tabularnewline
3 & 1530 & 1592.33473788381 & -62.3347378838098 \tabularnewline
4 & 2172 & 2527.77508671057 & -355.775086710574 \tabularnewline
5 & 901 & 911.49188787962 & -10.4918878796198 \tabularnewline
6 & 463 & 525.899174781499 & -62.8991747814989 \tabularnewline
7 & 3201 & 3625.39679955676 & -424.396799556761 \tabularnewline
8 & 371 & 431.577630920943 & -60.5776309209434 \tabularnewline
9 & 1192 & 1166.47853824933 & 25.5214617506673 \tabularnewline
10 & 1583 & 1621.70426408957 & -38.7042640895746 \tabularnewline
11 & 1439 & 1380.31476645892 & 58.6852335410825 \tabularnewline
12 & 1764 & 1895.96009742922 & -131.960097429223 \tabularnewline
13 & 1495 & 1574.53816195062 & -79.5381619506184 \tabularnewline
14 & 1373 & 1454.4980327367 & -81.4980327366973 \tabularnewline
15 & 2187 & 2290.72297033565 & -103.722970335652 \tabularnewline
16 & 1491 & 1510.94828429998 & -19.9482842999769 \tabularnewline
17 & 4041 & 3759.42377465071 & 281.576225349286 \tabularnewline
18 & 1706 & 1709.08725370537 & -3.08725370536838 \tabularnewline
19 & 2152 & 2372.8053023686 & -220.805302368597 \tabularnewline
20 & 1036 & 1158.1175074323 & -122.1175074323 \tabularnewline
21 & 1882 & 1781.61990245868 & 100.380097541317 \tabularnewline
22 & 1929 & 1763.09689592984 & 165.903104070159 \tabularnewline
23 & 2242 & 2472.24395123627 & -230.243951236272 \tabularnewline
24 & 1220 & 1180.79922900018 & 39.2007709998208 \tabularnewline
25 & 1289 & 1317.67836271471 & -28.6783627147148 \tabularnewline
26 & 2515 & 2597.48013595032 & -82.4801359503175 \tabularnewline
27 & 2147 & 2118.73248393107 & 28.2675160689264 \tabularnewline
28 & 2352 & 2453.22234914736 & -101.222349147358 \tabularnewline
29 & 1638 & 1624.57132767125 & 13.4286723287514 \tabularnewline
30 & 1222 & 1291.09502290883 & -69.0950229088306 \tabularnewline
31 & 1812 & 1973.17884399557 & -161.178843995568 \tabularnewline
32 & 1677 & 1728.84070744868 & -51.8407074486819 \tabularnewline
33 & 1579 & 1560.80818145847 & 18.1918185415337 \tabularnewline
34 & 1731 & 1861.55629977465 & -130.556299774649 \tabularnewline
35 & 807 & 881.93190908344 & -74.9319090834394 \tabularnewline
36 & 2452 & 2529.45689031271 & -77.4568903127124 \tabularnewline
37 & 829 & 807.468035656571 & 21.5319643434286 \tabularnewline
38 & 1940 & 2063.67557516443 & -123.675575164434 \tabularnewline
39 & 2662 & 2471.04957776604 & 190.950422233957 \tabularnewline
40 & 186 & 279.659142674358 & -93.6591426743576 \tabularnewline
41 & 1499 & 1479.09947039667 & 19.9005296033264 \tabularnewline
42 & 865 & 788.020259258547 & 76.9797407414528 \tabularnewline
43 & 1793 & 1525.92921512092 & 267.070784879084 \tabularnewline
44 & 2527 & 2561.80792105991 & -34.8079210599061 \tabularnewline
45 & 2747 & 2961.00969004342 & -214.009690043421 \tabularnewline
46 & 1324 & 1520.10921766807 & -196.109217668069 \tabularnewline
47 & 2702 & 2396.51766239634 & 305.482337603658 \tabularnewline
48 & 1383 & 1520.32316635569 & -137.323166355688 \tabularnewline
49 & 1179 & 1038.54555687782 & 140.454443122178 \tabularnewline
50 & 2099 & 2055.91642649959 & 43.0835735004149 \tabularnewline
51 & 4308 & 4759.94587219191 & -451.94587219191 \tabularnewline
52 & 918 & 974.654835176747 & -56.6548351767475 \tabularnewline
53 & 1831 & 1649.35586721098 & 181.644132789018 \tabularnewline
54 & 3373 & 3040.31324648423 & 332.686753515774 \tabularnewline
55 & 1713 & 1865.89334551627 & -152.89334551627 \tabularnewline
56 & 1438 & 1389.66820156721 & 48.3317984327886 \tabularnewline
57 & 496 & 609.899160478377 & -113.899160478377 \tabularnewline
58 & 2253 & 2768.62843633088 & -515.62843633088 \tabularnewline
59 & 744 & 743.644179047764 & 0.355820952236194 \tabularnewline
60 & 1161 & 1334.85604448509 & -173.856044485086 \tabularnewline
61 & 2352 & 2139.27753473391 & 212.722465266089 \tabularnewline
62 & 2144 & 1758.82134458301 & 385.178655416993 \tabularnewline
63 & 4691 & 3552.71524897564 & 1138.28475102436 \tabularnewline
64 & 1112 & 1107.30898683022 & 4.69101316977774 \tabularnewline
65 & 2694 & 2464.64689118623 & 229.353108813774 \tabularnewline
66 & 1973 & 2276.32481792967 & -303.324817929669 \tabularnewline
67 & 1769 & 1885.836171237 & -116.836171237003 \tabularnewline
68 & 3148 & 2860.97621083899 & 287.023789161012 \tabularnewline
69 & 2474 & 2493.65304154543 & -19.6530415454343 \tabularnewline
70 & 2084 & 2219.8726484248 & -135.872648424804 \tabularnewline
71 & 1954 & 1866.89807626945 & 87.1019237305493 \tabularnewline
72 & 1226 & 1357.07871121497 & -131.078711214969 \tabularnewline
73 & 1389 & 1236.16307551304 & 152.836924486961 \tabularnewline
74 & 1496 & 1531.39220195433 & -35.3922019543327 \tabularnewline
75 & 2269 & 2128.15632795209 & 140.843672047915 \tabularnewline
76 & 1833 & 1924.39950214933 & -91.3995021493253 \tabularnewline
77 & 1268 & 1469.81351301852 & -201.813513018522 \tabularnewline
78 & 1943 & 1823.63695551359 & 119.363044486411 \tabularnewline
79 & 893 & 1067.78611859636 & -174.786118596364 \tabularnewline
80 & 1762 & 1658.69936664448 & 103.300633355515 \tabularnewline
81 & 1403 & 1625.89444883846 & -222.894448838464 \tabularnewline
82 & 1425 & 1451.29577697101 & -26.295776971009 \tabularnewline
83 & 1857 & 2193.42115791347 & -336.421157913475 \tabularnewline
84 & 1840 & 2008.01912702524 & -168.019127025236 \tabularnewline
85 & 1502 & 1504.44208136811 & -2.44208136811499 \tabularnewline
86 & 1441 & 1388.73048739377 & 52.2695126062308 \tabularnewline
87 & 1420 & 1493.7834854565 & -73.7834854565033 \tabularnewline
88 & 1416 & 1348.5707656862 & 67.4292343138032 \tabularnewline
89 & 2970 & 2684.29378680504 & 285.706213194962 \tabularnewline
90 & 1317 & 1651.51134415217 & -334.51134415217 \tabularnewline
91 & 1644 & 1462.66494260836 & 181.335057391639 \tabularnewline
92 & 870 & 1127.15998092104 & -257.15998092104 \tabularnewline
93 & 1654 & 1846.1675440414 & -192.167544041401 \tabularnewline
94 & 1054 & 1008.78151073805 & 45.2184892619501 \tabularnewline
95 & 937 & 877.044287432212 & 59.9557125677881 \tabularnewline
96 & 3004 & 3257.34877322458 & -253.348773224581 \tabularnewline
97 & 2008 & 1946.09420513425 & 61.9057948657544 \tabularnewline
98 & 2547 & 2375.85523213856 & 171.144767861444 \tabularnewline
99 & 1885 & 1788.88521922469 & 96.1147807753147 \tabularnewline
100 & 1626 & 1660.20334674944 & -34.2033467494423 \tabularnewline
101 & 1468 & 1389.6752484607 & 78.3247515392991 \tabularnewline
102 & 2445 & 2316.53576659409 & 128.464233405911 \tabularnewline
103 & 1964 & 2037.07155028623 & -73.0715502862282 \tabularnewline
104 & 1381 & 1323.12134048223 & 57.8786595177725 \tabularnewline
105 & 1369 & 1356.28376638864 & 12.7162336113609 \tabularnewline
106 & 1659 & 1757.04753191207 & -98.0475319120667 \tabularnewline
107 & 2888 & 2691.02369715692 & 196.976302843081 \tabularnewline
108 & 1290 & 1045.32677206754 & 244.673227932461 \tabularnewline
109 & 2845 & 2879.6753755059 & -34.6753755059011 \tabularnewline
110 & 1982 & 1934.62661519802 & 47.3733848019796 \tabularnewline
111 & 1904 & 1948.01372802204 & -44.013728022041 \tabularnewline
112 & 1391 & 1606.75962923488 & -215.759629234881 \tabularnewline
113 & 602 & 642.096417206094 & -40.0964172060943 \tabularnewline
114 & 1743 & 1664.20965576943 & 78.79034423057 \tabularnewline
115 & 1559 & 1657.74975358155 & -98.7497535815542 \tabularnewline
116 & 2014 & 2170.8418869696 & -156.841886969597 \tabularnewline
117 & 2143 & 2246.81881386245 & -103.81881386245 \tabularnewline
118 & 2146 & 1984.86576080194 & 161.134239198063 \tabularnewline
119 & 874 & 885.488117308486 & -11.4881173084857 \tabularnewline
120 & 1590 & 1491.63572426321 & 98.3642757367883 \tabularnewline
121 & 1590 & 1432.36190816808 & 157.638091831923 \tabularnewline
122 & 1210 & 1287.9364673088 & -77.936467308799 \tabularnewline
123 & 2072 & 2034.80558454418 & 37.1944154558189 \tabularnewline
124 & 1281 & 1403.86986317362 & -122.869863173616 \tabularnewline
125 & 1401 & 1376.29996721304 & 24.7000327869646 \tabularnewline
126 & 834 & 806.19937225059 & 27.8006277494107 \tabularnewline
127 & 1105 & 1142.38059310806 & -37.3805931080626 \tabularnewline
128 & 1272 & 1041.91628922061 & 230.083710779391 \tabularnewline
129 & 1944 & 1843.32412457306 & 100.67587542694 \tabularnewline
130 & 391 & 446.393062369773 & -55.393062369773 \tabularnewline
131 & 761 & 733.287627472426 & 27.7123725275744 \tabularnewline
132 & 1605 & 1638.8448957242 & -33.8448957242019 \tabularnewline
133 & 530 & 649.759757444524 & -119.759757444524 \tabularnewline
134 & 1988 & 1695.20260928753 & 292.797390712471 \tabularnewline
135 & 1386 & 1418.12527038316 & -32.1252703831647 \tabularnewline
136 & 2395 & 2549.41941259733 & -154.419412597332 \tabularnewline
137 & 387 & 428.20986270886 & -41.2098627088597 \tabularnewline
138 & 1742 & 1817.97708978721 & -75.9770897872098 \tabularnewline
139 & 620 & 572.789281387702 & 47.2107186122975 \tabularnewline
140 & 449 & 576.326149832999 & -127.326149832999 \tabularnewline
141 & 800 & 834.01856424116 & -34.01856424116 \tabularnewline
142 & 1684 & 1470.87123698708 & 213.128763012919 \tabularnewline
143 & 1050 & 1106.42542668521 & -56.4254266852084 \tabularnewline
144 & 2699 & 2648.55201642405 & 50.4479835759472 \tabularnewline
145 & 1606 & 1522.03024106891 & 83.9697589310937 \tabularnewline
146 & 1502 & 1282.04535534908 & 219.954644650917 \tabularnewline
147 & 1204 & 1283.49414275224 & -79.4941427522442 \tabularnewline
148 & 1138 & 1109.59151479741 & 28.408485202586 \tabularnewline
149 & 568 & 821.007438304703 & -253.007438304703 \tabularnewline
150 & 1459 & 1427.9186326558 & 31.0813673442022 \tabularnewline
151 & 2158 & 2191.32367598904 & -33.3236759890366 \tabularnewline
152 & 1111 & 1221.15492643091 & -110.154926430908 \tabularnewline
153 & 1421 & 1318.54986910047 & 102.450130899532 \tabularnewline
154 & 2833 & 3121.14049549786 & -288.140495497859 \tabularnewline
155 & 1955 & 2172.84935197737 & -217.84935197737 \tabularnewline
156 & 2922 & 2761.71002399022 & 160.289976009785 \tabularnewline
157 & 1002 & 1138.19579056901 & -136.195790569014 \tabularnewline
158 & 1060 & 1154.94173188442 & -94.9417318844188 \tabularnewline
159 & 956 & 996.056841248205 & -40.0568412482046 \tabularnewline
160 & 2186 & 2604.0047751482 & -418.004775148195 \tabularnewline
161 & 3604 & 3373.67061547277 & 230.329384527231 \tabularnewline
162 & 1035 & 1086.60826524236 & -51.6082652423638 \tabularnewline
163 & 1417 & 1509.14073997346 & -92.1407399734573 \tabularnewline
164 & 3261 & 3414.87384240248 & -153.873842402483 \tabularnewline
165 & 1587 & 1617.95824652389 & -30.9582465238895 \tabularnewline
166 & 1424 & 1423.74163007273 & 0.258369927267304 \tabularnewline
167 & 1701 & 1785.77291105222 & -84.7729110522175 \tabularnewline
168 & 1249 & 1386.68912976293 & -137.689129762933 \tabularnewline
169 & 946 & 930.158206467238 & 15.8417935327617 \tabularnewline
170 & 1926 & 1800.33686125819 & 125.663138741806 \tabularnewline
171 & 3352 & 3332.51403055854 & 19.4859694414583 \tabularnewline
172 & 1641 & 1650.13029682469 & -9.1302968246895 \tabularnewline
173 & 2035 & 1808.66534795217 & 226.334652047826 \tabularnewline
174 & 2312 & 2134.26217256403 & 177.73782743597 \tabularnewline
175 & 1369 & 1584.66473472504 & -215.664734725043 \tabularnewline
176 & 1577 & 1577.12366230773 & -0.123662307733426 \tabularnewline
177 & 2201 & 2139.68628710183 & 61.3137128981665 \tabularnewline
178 & 961 & 944.975542068244 & 16.0244579317556 \tabularnewline
179 & 1900 & 1867.60623153044 & 32.3937684695634 \tabularnewline
180 & 1254 & 1270.52253013172 & -16.52253013172 \tabularnewline
181 & 1335 & 1284.72811851972 & 50.2718814802821 \tabularnewline
182 & 1597 & 1511.45623160315 & 85.54376839685 \tabularnewline
183 & 207 & 289.341195858671 & -82.3411958586707 \tabularnewline
184 & 1645 & 1551.04621080753 & 93.9537891924668 \tabularnewline
185 & 2429 & 2368.54401619626 & 60.4559838037417 \tabularnewline
186 & 151 & 262.313620314229 & -111.313620314229 \tabularnewline
187 & 474 & 671.656655635443 & -197.656655635444 \tabularnewline
188 & 141 & 240.596110923947 & -99.596110923947 \tabularnewline
189 & 1639 & 1375.0715493525 & 263.928450647498 \tabularnewline
190 & 872 & 849.489880098313 & 22.510119901687 \tabularnewline
191 & 1318 & 1216.08412326713 & 101.915876732874 \tabularnewline
192 & 1018 & 1183.04722314385 & -165.047223143852 \tabularnewline
193 & 1383 & 1296.4581567731 & 86.5418432268993 \tabularnewline
194 & 1314 & 1137.19429792963 & 176.805702070366 \tabularnewline
195 & 1335 & 1371.49776137608 & -36.4977613760839 \tabularnewline
196 & 1403 & 1327.42265239546 & 75.5773476045442 \tabularnewline
197 & 910 & 998.771400302078 & -88.7714003020781 \tabularnewline
198 & 616 & 667.913492051727 & -51.9134920517266 \tabularnewline
199 & 1407 & 1452.03478953487 & -45.0347895348698 \tabularnewline
200 & 771 & 808.178684572968 & -37.1786845729683 \tabularnewline
201 & 766 & 764.150314594948 & 1.84968540505159 \tabularnewline
202 & 473 & 488.335386882645 & -15.3353868826453 \tabularnewline
203 & 1376 & 1430.51494479205 & -54.5149447920521 \tabularnewline
204 & 1232 & 1200.10068355353 & 31.8993164464726 \tabularnewline
205 & 1521 & 1492.59499246031 & 28.405007539687 \tabularnewline
206 & 572 & 576.823578692006 & -4.8235786920062 \tabularnewline
207 & 1059 & 895.223154600105 & 163.776845399895 \tabularnewline
208 & 1544 & 1588.79414800058 & -44.7941480005821 \tabularnewline
209 & 1230 & 1207.58644971332 & 22.4135502866817 \tabularnewline
210 & 1206 & 1231.33970908941 & -25.3397090894091 \tabularnewline
211 & 1205 & 1112.89178970823 & 92.108210291773 \tabularnewline
212 & 1255 & 1017.54535290411 & 237.454647095893 \tabularnewline
213 & 613 & 604.325109929335 & 8.67489007066492 \tabularnewline
214 & 721 & 807.677781530367 & -86.6777815303668 \tabularnewline
215 & 1109 & 1026.58836053954 & 82.4116394604602 \tabularnewline
216 & 740 & 693.620948313761 & 46.3790516862386 \tabularnewline
217 & 1126 & 1125.14753463759 & 0.852465362414455 \tabularnewline
218 & 728 & 796.100880215395 & -68.1008802153954 \tabularnewline
219 & 689 & 741.919036343679 & -52.919036343679 \tabularnewline
220 & 592 & 622.233496085647 & -30.2334960856473 \tabularnewline
221 & 995 & 921.1702890315 & 73.8297109685005 \tabularnewline
222 & 1613 & 1181.55477289554 & 431.445227104456 \tabularnewline
223 & 2048 & 1753.11316473498 & 294.886835265021 \tabularnewline
224 & 705 & 626.14591857862 & 78.8540814213795 \tabularnewline
225 & 301 & 394.636983083235 & -93.6369830832354 \tabularnewline
226 & 1803 & 1728.73060134367 & 74.2693986563336 \tabularnewline
227 & 799 & 824.706032538106 & -25.7060325381058 \tabularnewline
228 & 861 & 959.186320500938 & -98.1863205009378 \tabularnewline
229 & 1186 & 1055.16072873457 & 130.839271265427 \tabularnewline
230 & 1451 & 1125.26703631983 & 325.732963680167 \tabularnewline
231 & 628 & 573.491575628336 & 54.5084243716639 \tabularnewline
232 & 1161 & 965.354621772854 & 195.645378227146 \tabularnewline
233 & 1463 & 1358.04185500944 & 104.958144990557 \tabularnewline
234 & 742 & 717.474752211633 & 24.525247788367 \tabularnewline
235 & 979 & 1048.01997794674 & -69.019977946742 \tabularnewline
236 & 675 & 689.983418268225 & -14.9834182682248 \tabularnewline
237 & 1241 & 1195.25273919865 & 45.7472608013495 \tabularnewline
238 & 676 & 646.806589010796 & 29.1934109892045 \tabularnewline
239 & 1049 & 1047.83862247383 & 1.16137752617276 \tabularnewline
240 & 620 & 677.54910209518 & -57.5491020951802 \tabularnewline
241 & 1081 & 975.99129327845 & 105.008706721551 \tabularnewline
242 & 1688 & 1429.39835384618 & 258.601646153817 \tabularnewline
243 & 736 & 748.886637832913 & -12.8866378329127 \tabularnewline
244 & 617 & 668.291688076519 & -51.2916880765185 \tabularnewline
245 & 812 & 858.117607551159 & -46.1176075511586 \tabularnewline
246 & 1051 & 1032.66307375516 & 18.3369262448368 \tabularnewline
247 & 1656 & 1410.15954529106 & 245.840454708936 \tabularnewline
248 & 705 & 787.892554714551 & -82.892554714551 \tabularnewline
249 & 945 & 1035.4819285162 & -90.4819285161962 \tabularnewline
250 & 554 & 636.592244456914 & -82.5922444569138 \tabularnewline
251 & 1597 & 1591.28512914312 & 5.7148708568798 \tabularnewline
252 & 982 & 971.61903005562 & 10.3809699443803 \tabularnewline
253 & 222 & 307.366502737819 & -85.3665027378194 \tabularnewline
254 & 1212 & 1214.34454925157 & -2.3445492515717 \tabularnewline
255 & 1143 & 1206.5592962295 & -63.5592962294956 \tabularnewline
256 & 435 & 516.55751562088 & -81.5575156208799 \tabularnewline
257 & 532 & 541.448563962857 & -9.4485639628567 \tabularnewline
258 & 882 & 947.075201626871 & -65.0752016268713 \tabularnewline
259 & 608 & 610.326469552447 & -2.32646955244657 \tabularnewline
260 & 459 & 460.945384961912 & -1.94538496191224 \tabularnewline
261 & 578 & 603.728814055326 & -25.7288140553262 \tabularnewline
262 & 826 & 792.06795129164 & 33.9320487083596 \tabularnewline
263 & 509 & 448.416436582525 & 60.5835634174746 \tabularnewline
264 & 717 & 654.250314420111 & 62.7496855798891 \tabularnewline
265 & 637 & 689.150286878938 & -52.1502868789382 \tabularnewline
266 & 857 & 855.057795238426 & 1.94220476157401 \tabularnewline
267 & 830 & 865.445196707383 & -35.4451967073831 \tabularnewline
268 & 652 & 814.364768486689 & -162.364768486689 \tabularnewline
269 & 707 & 797.787300158224 & -90.7873001582239 \tabularnewline
270 & 954 & 1015.17751921818 & -61.177519218181 \tabularnewline
271 & 1461 & 1308.05001637427 & 152.949983625734 \tabularnewline
272 & 672 & 739.412882023129 & -67.4128820231285 \tabularnewline
273 & 778 & 800.97542206262 & -22.9754220626208 \tabularnewline
274 & 1141 & 1138.94096413296 & 2.05903586704189 \tabularnewline
275 & 680 & 629.761804959873 & 50.2381950401275 \tabularnewline
276 & 1090 & 999.538607867576 & 90.4613921324244 \tabularnewline
277 & 616 & 542.799020670166 & 73.2009793298344 \tabularnewline
278 & 285 & 327.741961761865 & -42.7419617618654 \tabularnewline
279 & 1145 & 1021.02514765723 & 123.974852342765 \tabularnewline
280 & 733 & 763.616063801933 & -30.6160638019326 \tabularnewline
281 & 888 & 894.394198316745 & -6.39419831674548 \tabularnewline
282 & 849 & 871.720680209284 & -22.7206802092838 \tabularnewline
283 & 1182 & 1152.01519317384 & 29.9848068261585 \tabularnewline
284 & 528 & 561.307254862491 & -33.3072548624907 \tabularnewline
285 & 642 & 708.44373830914 & -66.4437383091397 \tabularnewline
286 & 947 & 562.402214027473 & 384.597785972527 \tabularnewline
287 & 819 & 685.748143764062 & 133.251856235938 \tabularnewline
288 & 757 & 657.296916723866 & 99.7030832761338 \tabularnewline
289 & 894 & 877.251092552224 & 16.7489074477764 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155773&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]1418[/C][C]1334.04375746751[/C][C]83.956242532486[/C][/ROW]
[ROW][C]2[/C][C]869[/C][C]1073.94024761721[/C][C]-204.940247617212[/C][/ROW]
[ROW][C]3[/C][C]1530[/C][C]1592.33473788381[/C][C]-62.3347378838098[/C][/ROW]
[ROW][C]4[/C][C]2172[/C][C]2527.77508671057[/C][C]-355.775086710574[/C][/ROW]
[ROW][C]5[/C][C]901[/C][C]911.49188787962[/C][C]-10.4918878796198[/C][/ROW]
[ROW][C]6[/C][C]463[/C][C]525.899174781499[/C][C]-62.8991747814989[/C][/ROW]
[ROW][C]7[/C][C]3201[/C][C]3625.39679955676[/C][C]-424.396799556761[/C][/ROW]
[ROW][C]8[/C][C]371[/C][C]431.577630920943[/C][C]-60.5776309209434[/C][/ROW]
[ROW][C]9[/C][C]1192[/C][C]1166.47853824933[/C][C]25.5214617506673[/C][/ROW]
[ROW][C]10[/C][C]1583[/C][C]1621.70426408957[/C][C]-38.7042640895746[/C][/ROW]
[ROW][C]11[/C][C]1439[/C][C]1380.31476645892[/C][C]58.6852335410825[/C][/ROW]
[ROW][C]12[/C][C]1764[/C][C]1895.96009742922[/C][C]-131.960097429223[/C][/ROW]
[ROW][C]13[/C][C]1495[/C][C]1574.53816195062[/C][C]-79.5381619506184[/C][/ROW]
[ROW][C]14[/C][C]1373[/C][C]1454.4980327367[/C][C]-81.4980327366973[/C][/ROW]
[ROW][C]15[/C][C]2187[/C][C]2290.72297033565[/C][C]-103.722970335652[/C][/ROW]
[ROW][C]16[/C][C]1491[/C][C]1510.94828429998[/C][C]-19.9482842999769[/C][/ROW]
[ROW][C]17[/C][C]4041[/C][C]3759.42377465071[/C][C]281.576225349286[/C][/ROW]
[ROW][C]18[/C][C]1706[/C][C]1709.08725370537[/C][C]-3.08725370536838[/C][/ROW]
[ROW][C]19[/C][C]2152[/C][C]2372.8053023686[/C][C]-220.805302368597[/C][/ROW]
[ROW][C]20[/C][C]1036[/C][C]1158.1175074323[/C][C]-122.1175074323[/C][/ROW]
[ROW][C]21[/C][C]1882[/C][C]1781.61990245868[/C][C]100.380097541317[/C][/ROW]
[ROW][C]22[/C][C]1929[/C][C]1763.09689592984[/C][C]165.903104070159[/C][/ROW]
[ROW][C]23[/C][C]2242[/C][C]2472.24395123627[/C][C]-230.243951236272[/C][/ROW]
[ROW][C]24[/C][C]1220[/C][C]1180.79922900018[/C][C]39.2007709998208[/C][/ROW]
[ROW][C]25[/C][C]1289[/C][C]1317.67836271471[/C][C]-28.6783627147148[/C][/ROW]
[ROW][C]26[/C][C]2515[/C][C]2597.48013595032[/C][C]-82.4801359503175[/C][/ROW]
[ROW][C]27[/C][C]2147[/C][C]2118.73248393107[/C][C]28.2675160689264[/C][/ROW]
[ROW][C]28[/C][C]2352[/C][C]2453.22234914736[/C][C]-101.222349147358[/C][/ROW]
[ROW][C]29[/C][C]1638[/C][C]1624.57132767125[/C][C]13.4286723287514[/C][/ROW]
[ROW][C]30[/C][C]1222[/C][C]1291.09502290883[/C][C]-69.0950229088306[/C][/ROW]
[ROW][C]31[/C][C]1812[/C][C]1973.17884399557[/C][C]-161.178843995568[/C][/ROW]
[ROW][C]32[/C][C]1677[/C][C]1728.84070744868[/C][C]-51.8407074486819[/C][/ROW]
[ROW][C]33[/C][C]1579[/C][C]1560.80818145847[/C][C]18.1918185415337[/C][/ROW]
[ROW][C]34[/C][C]1731[/C][C]1861.55629977465[/C][C]-130.556299774649[/C][/ROW]
[ROW][C]35[/C][C]807[/C][C]881.93190908344[/C][C]-74.9319090834394[/C][/ROW]
[ROW][C]36[/C][C]2452[/C][C]2529.45689031271[/C][C]-77.4568903127124[/C][/ROW]
[ROW][C]37[/C][C]829[/C][C]807.468035656571[/C][C]21.5319643434286[/C][/ROW]
[ROW][C]38[/C][C]1940[/C][C]2063.67557516443[/C][C]-123.675575164434[/C][/ROW]
[ROW][C]39[/C][C]2662[/C][C]2471.04957776604[/C][C]190.950422233957[/C][/ROW]
[ROW][C]40[/C][C]186[/C][C]279.659142674358[/C][C]-93.6591426743576[/C][/ROW]
[ROW][C]41[/C][C]1499[/C][C]1479.09947039667[/C][C]19.9005296033264[/C][/ROW]
[ROW][C]42[/C][C]865[/C][C]788.020259258547[/C][C]76.9797407414528[/C][/ROW]
[ROW][C]43[/C][C]1793[/C][C]1525.92921512092[/C][C]267.070784879084[/C][/ROW]
[ROW][C]44[/C][C]2527[/C][C]2561.80792105991[/C][C]-34.8079210599061[/C][/ROW]
[ROW][C]45[/C][C]2747[/C][C]2961.00969004342[/C][C]-214.009690043421[/C][/ROW]
[ROW][C]46[/C][C]1324[/C][C]1520.10921766807[/C][C]-196.109217668069[/C][/ROW]
[ROW][C]47[/C][C]2702[/C][C]2396.51766239634[/C][C]305.482337603658[/C][/ROW]
[ROW][C]48[/C][C]1383[/C][C]1520.32316635569[/C][C]-137.323166355688[/C][/ROW]
[ROW][C]49[/C][C]1179[/C][C]1038.54555687782[/C][C]140.454443122178[/C][/ROW]
[ROW][C]50[/C][C]2099[/C][C]2055.91642649959[/C][C]43.0835735004149[/C][/ROW]
[ROW][C]51[/C][C]4308[/C][C]4759.94587219191[/C][C]-451.94587219191[/C][/ROW]
[ROW][C]52[/C][C]918[/C][C]974.654835176747[/C][C]-56.6548351767475[/C][/ROW]
[ROW][C]53[/C][C]1831[/C][C]1649.35586721098[/C][C]181.644132789018[/C][/ROW]
[ROW][C]54[/C][C]3373[/C][C]3040.31324648423[/C][C]332.686753515774[/C][/ROW]
[ROW][C]55[/C][C]1713[/C][C]1865.89334551627[/C][C]-152.89334551627[/C][/ROW]
[ROW][C]56[/C][C]1438[/C][C]1389.66820156721[/C][C]48.3317984327886[/C][/ROW]
[ROW][C]57[/C][C]496[/C][C]609.899160478377[/C][C]-113.899160478377[/C][/ROW]
[ROW][C]58[/C][C]2253[/C][C]2768.62843633088[/C][C]-515.62843633088[/C][/ROW]
[ROW][C]59[/C][C]744[/C][C]743.644179047764[/C][C]0.355820952236194[/C][/ROW]
[ROW][C]60[/C][C]1161[/C][C]1334.85604448509[/C][C]-173.856044485086[/C][/ROW]
[ROW][C]61[/C][C]2352[/C][C]2139.27753473391[/C][C]212.722465266089[/C][/ROW]
[ROW][C]62[/C][C]2144[/C][C]1758.82134458301[/C][C]385.178655416993[/C][/ROW]
[ROW][C]63[/C][C]4691[/C][C]3552.71524897564[/C][C]1138.28475102436[/C][/ROW]
[ROW][C]64[/C][C]1112[/C][C]1107.30898683022[/C][C]4.69101316977774[/C][/ROW]
[ROW][C]65[/C][C]2694[/C][C]2464.64689118623[/C][C]229.353108813774[/C][/ROW]
[ROW][C]66[/C][C]1973[/C][C]2276.32481792967[/C][C]-303.324817929669[/C][/ROW]
[ROW][C]67[/C][C]1769[/C][C]1885.836171237[/C][C]-116.836171237003[/C][/ROW]
[ROW][C]68[/C][C]3148[/C][C]2860.97621083899[/C][C]287.023789161012[/C][/ROW]
[ROW][C]69[/C][C]2474[/C][C]2493.65304154543[/C][C]-19.6530415454343[/C][/ROW]
[ROW][C]70[/C][C]2084[/C][C]2219.8726484248[/C][C]-135.872648424804[/C][/ROW]
[ROW][C]71[/C][C]1954[/C][C]1866.89807626945[/C][C]87.1019237305493[/C][/ROW]
[ROW][C]72[/C][C]1226[/C][C]1357.07871121497[/C][C]-131.078711214969[/C][/ROW]
[ROW][C]73[/C][C]1389[/C][C]1236.16307551304[/C][C]152.836924486961[/C][/ROW]
[ROW][C]74[/C][C]1496[/C][C]1531.39220195433[/C][C]-35.3922019543327[/C][/ROW]
[ROW][C]75[/C][C]2269[/C][C]2128.15632795209[/C][C]140.843672047915[/C][/ROW]
[ROW][C]76[/C][C]1833[/C][C]1924.39950214933[/C][C]-91.3995021493253[/C][/ROW]
[ROW][C]77[/C][C]1268[/C][C]1469.81351301852[/C][C]-201.813513018522[/C][/ROW]
[ROW][C]78[/C][C]1943[/C][C]1823.63695551359[/C][C]119.363044486411[/C][/ROW]
[ROW][C]79[/C][C]893[/C][C]1067.78611859636[/C][C]-174.786118596364[/C][/ROW]
[ROW][C]80[/C][C]1762[/C][C]1658.69936664448[/C][C]103.300633355515[/C][/ROW]
[ROW][C]81[/C][C]1403[/C][C]1625.89444883846[/C][C]-222.894448838464[/C][/ROW]
[ROW][C]82[/C][C]1425[/C][C]1451.29577697101[/C][C]-26.295776971009[/C][/ROW]
[ROW][C]83[/C][C]1857[/C][C]2193.42115791347[/C][C]-336.421157913475[/C][/ROW]
[ROW][C]84[/C][C]1840[/C][C]2008.01912702524[/C][C]-168.019127025236[/C][/ROW]
[ROW][C]85[/C][C]1502[/C][C]1504.44208136811[/C][C]-2.44208136811499[/C][/ROW]
[ROW][C]86[/C][C]1441[/C][C]1388.73048739377[/C][C]52.2695126062308[/C][/ROW]
[ROW][C]87[/C][C]1420[/C][C]1493.7834854565[/C][C]-73.7834854565033[/C][/ROW]
[ROW][C]88[/C][C]1416[/C][C]1348.5707656862[/C][C]67.4292343138032[/C][/ROW]
[ROW][C]89[/C][C]2970[/C][C]2684.29378680504[/C][C]285.706213194962[/C][/ROW]
[ROW][C]90[/C][C]1317[/C][C]1651.51134415217[/C][C]-334.51134415217[/C][/ROW]
[ROW][C]91[/C][C]1644[/C][C]1462.66494260836[/C][C]181.335057391639[/C][/ROW]
[ROW][C]92[/C][C]870[/C][C]1127.15998092104[/C][C]-257.15998092104[/C][/ROW]
[ROW][C]93[/C][C]1654[/C][C]1846.1675440414[/C][C]-192.167544041401[/C][/ROW]
[ROW][C]94[/C][C]1054[/C][C]1008.78151073805[/C][C]45.2184892619501[/C][/ROW]
[ROW][C]95[/C][C]937[/C][C]877.044287432212[/C][C]59.9557125677881[/C][/ROW]
[ROW][C]96[/C][C]3004[/C][C]3257.34877322458[/C][C]-253.348773224581[/C][/ROW]
[ROW][C]97[/C][C]2008[/C][C]1946.09420513425[/C][C]61.9057948657544[/C][/ROW]
[ROW][C]98[/C][C]2547[/C][C]2375.85523213856[/C][C]171.144767861444[/C][/ROW]
[ROW][C]99[/C][C]1885[/C][C]1788.88521922469[/C][C]96.1147807753147[/C][/ROW]
[ROW][C]100[/C][C]1626[/C][C]1660.20334674944[/C][C]-34.2033467494423[/C][/ROW]
[ROW][C]101[/C][C]1468[/C][C]1389.6752484607[/C][C]78.3247515392991[/C][/ROW]
[ROW][C]102[/C][C]2445[/C][C]2316.53576659409[/C][C]128.464233405911[/C][/ROW]
[ROW][C]103[/C][C]1964[/C][C]2037.07155028623[/C][C]-73.0715502862282[/C][/ROW]
[ROW][C]104[/C][C]1381[/C][C]1323.12134048223[/C][C]57.8786595177725[/C][/ROW]
[ROW][C]105[/C][C]1369[/C][C]1356.28376638864[/C][C]12.7162336113609[/C][/ROW]
[ROW][C]106[/C][C]1659[/C][C]1757.04753191207[/C][C]-98.0475319120667[/C][/ROW]
[ROW][C]107[/C][C]2888[/C][C]2691.02369715692[/C][C]196.976302843081[/C][/ROW]
[ROW][C]108[/C][C]1290[/C][C]1045.32677206754[/C][C]244.673227932461[/C][/ROW]
[ROW][C]109[/C][C]2845[/C][C]2879.6753755059[/C][C]-34.6753755059011[/C][/ROW]
[ROW][C]110[/C][C]1982[/C][C]1934.62661519802[/C][C]47.3733848019796[/C][/ROW]
[ROW][C]111[/C][C]1904[/C][C]1948.01372802204[/C][C]-44.013728022041[/C][/ROW]
[ROW][C]112[/C][C]1391[/C][C]1606.75962923488[/C][C]-215.759629234881[/C][/ROW]
[ROW][C]113[/C][C]602[/C][C]642.096417206094[/C][C]-40.0964172060943[/C][/ROW]
[ROW][C]114[/C][C]1743[/C][C]1664.20965576943[/C][C]78.79034423057[/C][/ROW]
[ROW][C]115[/C][C]1559[/C][C]1657.74975358155[/C][C]-98.7497535815542[/C][/ROW]
[ROW][C]116[/C][C]2014[/C][C]2170.8418869696[/C][C]-156.841886969597[/C][/ROW]
[ROW][C]117[/C][C]2143[/C][C]2246.81881386245[/C][C]-103.81881386245[/C][/ROW]
[ROW][C]118[/C][C]2146[/C][C]1984.86576080194[/C][C]161.134239198063[/C][/ROW]
[ROW][C]119[/C][C]874[/C][C]885.488117308486[/C][C]-11.4881173084857[/C][/ROW]
[ROW][C]120[/C][C]1590[/C][C]1491.63572426321[/C][C]98.3642757367883[/C][/ROW]
[ROW][C]121[/C][C]1590[/C][C]1432.36190816808[/C][C]157.638091831923[/C][/ROW]
[ROW][C]122[/C][C]1210[/C][C]1287.9364673088[/C][C]-77.936467308799[/C][/ROW]
[ROW][C]123[/C][C]2072[/C][C]2034.80558454418[/C][C]37.1944154558189[/C][/ROW]
[ROW][C]124[/C][C]1281[/C][C]1403.86986317362[/C][C]-122.869863173616[/C][/ROW]
[ROW][C]125[/C][C]1401[/C][C]1376.29996721304[/C][C]24.7000327869646[/C][/ROW]
[ROW][C]126[/C][C]834[/C][C]806.19937225059[/C][C]27.8006277494107[/C][/ROW]
[ROW][C]127[/C][C]1105[/C][C]1142.38059310806[/C][C]-37.3805931080626[/C][/ROW]
[ROW][C]128[/C][C]1272[/C][C]1041.91628922061[/C][C]230.083710779391[/C][/ROW]
[ROW][C]129[/C][C]1944[/C][C]1843.32412457306[/C][C]100.67587542694[/C][/ROW]
[ROW][C]130[/C][C]391[/C][C]446.393062369773[/C][C]-55.393062369773[/C][/ROW]
[ROW][C]131[/C][C]761[/C][C]733.287627472426[/C][C]27.7123725275744[/C][/ROW]
[ROW][C]132[/C][C]1605[/C][C]1638.8448957242[/C][C]-33.8448957242019[/C][/ROW]
[ROW][C]133[/C][C]530[/C][C]649.759757444524[/C][C]-119.759757444524[/C][/ROW]
[ROW][C]134[/C][C]1988[/C][C]1695.20260928753[/C][C]292.797390712471[/C][/ROW]
[ROW][C]135[/C][C]1386[/C][C]1418.12527038316[/C][C]-32.1252703831647[/C][/ROW]
[ROW][C]136[/C][C]2395[/C][C]2549.41941259733[/C][C]-154.419412597332[/C][/ROW]
[ROW][C]137[/C][C]387[/C][C]428.20986270886[/C][C]-41.2098627088597[/C][/ROW]
[ROW][C]138[/C][C]1742[/C][C]1817.97708978721[/C][C]-75.9770897872098[/C][/ROW]
[ROW][C]139[/C][C]620[/C][C]572.789281387702[/C][C]47.2107186122975[/C][/ROW]
[ROW][C]140[/C][C]449[/C][C]576.326149832999[/C][C]-127.326149832999[/C][/ROW]
[ROW][C]141[/C][C]800[/C][C]834.01856424116[/C][C]-34.01856424116[/C][/ROW]
[ROW][C]142[/C][C]1684[/C][C]1470.87123698708[/C][C]213.128763012919[/C][/ROW]
[ROW][C]143[/C][C]1050[/C][C]1106.42542668521[/C][C]-56.4254266852084[/C][/ROW]
[ROW][C]144[/C][C]2699[/C][C]2648.55201642405[/C][C]50.4479835759472[/C][/ROW]
[ROW][C]145[/C][C]1606[/C][C]1522.03024106891[/C][C]83.9697589310937[/C][/ROW]
[ROW][C]146[/C][C]1502[/C][C]1282.04535534908[/C][C]219.954644650917[/C][/ROW]
[ROW][C]147[/C][C]1204[/C][C]1283.49414275224[/C][C]-79.4941427522442[/C][/ROW]
[ROW][C]148[/C][C]1138[/C][C]1109.59151479741[/C][C]28.408485202586[/C][/ROW]
[ROW][C]149[/C][C]568[/C][C]821.007438304703[/C][C]-253.007438304703[/C][/ROW]
[ROW][C]150[/C][C]1459[/C][C]1427.9186326558[/C][C]31.0813673442022[/C][/ROW]
[ROW][C]151[/C][C]2158[/C][C]2191.32367598904[/C][C]-33.3236759890366[/C][/ROW]
[ROW][C]152[/C][C]1111[/C][C]1221.15492643091[/C][C]-110.154926430908[/C][/ROW]
[ROW][C]153[/C][C]1421[/C][C]1318.54986910047[/C][C]102.450130899532[/C][/ROW]
[ROW][C]154[/C][C]2833[/C][C]3121.14049549786[/C][C]-288.140495497859[/C][/ROW]
[ROW][C]155[/C][C]1955[/C][C]2172.84935197737[/C][C]-217.84935197737[/C][/ROW]
[ROW][C]156[/C][C]2922[/C][C]2761.71002399022[/C][C]160.289976009785[/C][/ROW]
[ROW][C]157[/C][C]1002[/C][C]1138.19579056901[/C][C]-136.195790569014[/C][/ROW]
[ROW][C]158[/C][C]1060[/C][C]1154.94173188442[/C][C]-94.9417318844188[/C][/ROW]
[ROW][C]159[/C][C]956[/C][C]996.056841248205[/C][C]-40.0568412482046[/C][/ROW]
[ROW][C]160[/C][C]2186[/C][C]2604.0047751482[/C][C]-418.004775148195[/C][/ROW]
[ROW][C]161[/C][C]3604[/C][C]3373.67061547277[/C][C]230.329384527231[/C][/ROW]
[ROW][C]162[/C][C]1035[/C][C]1086.60826524236[/C][C]-51.6082652423638[/C][/ROW]
[ROW][C]163[/C][C]1417[/C][C]1509.14073997346[/C][C]-92.1407399734573[/C][/ROW]
[ROW][C]164[/C][C]3261[/C][C]3414.87384240248[/C][C]-153.873842402483[/C][/ROW]
[ROW][C]165[/C][C]1587[/C][C]1617.95824652389[/C][C]-30.9582465238895[/C][/ROW]
[ROW][C]166[/C][C]1424[/C][C]1423.74163007273[/C][C]0.258369927267304[/C][/ROW]
[ROW][C]167[/C][C]1701[/C][C]1785.77291105222[/C][C]-84.7729110522175[/C][/ROW]
[ROW][C]168[/C][C]1249[/C][C]1386.68912976293[/C][C]-137.689129762933[/C][/ROW]
[ROW][C]169[/C][C]946[/C][C]930.158206467238[/C][C]15.8417935327617[/C][/ROW]
[ROW][C]170[/C][C]1926[/C][C]1800.33686125819[/C][C]125.663138741806[/C][/ROW]
[ROW][C]171[/C][C]3352[/C][C]3332.51403055854[/C][C]19.4859694414583[/C][/ROW]
[ROW][C]172[/C][C]1641[/C][C]1650.13029682469[/C][C]-9.1302968246895[/C][/ROW]
[ROW][C]173[/C][C]2035[/C][C]1808.66534795217[/C][C]226.334652047826[/C][/ROW]
[ROW][C]174[/C][C]2312[/C][C]2134.26217256403[/C][C]177.73782743597[/C][/ROW]
[ROW][C]175[/C][C]1369[/C][C]1584.66473472504[/C][C]-215.664734725043[/C][/ROW]
[ROW][C]176[/C][C]1577[/C][C]1577.12366230773[/C][C]-0.123662307733426[/C][/ROW]
[ROW][C]177[/C][C]2201[/C][C]2139.68628710183[/C][C]61.3137128981665[/C][/ROW]
[ROW][C]178[/C][C]961[/C][C]944.975542068244[/C][C]16.0244579317556[/C][/ROW]
[ROW][C]179[/C][C]1900[/C][C]1867.60623153044[/C][C]32.3937684695634[/C][/ROW]
[ROW][C]180[/C][C]1254[/C][C]1270.52253013172[/C][C]-16.52253013172[/C][/ROW]
[ROW][C]181[/C][C]1335[/C][C]1284.72811851972[/C][C]50.2718814802821[/C][/ROW]
[ROW][C]182[/C][C]1597[/C][C]1511.45623160315[/C][C]85.54376839685[/C][/ROW]
[ROW][C]183[/C][C]207[/C][C]289.341195858671[/C][C]-82.3411958586707[/C][/ROW]
[ROW][C]184[/C][C]1645[/C][C]1551.04621080753[/C][C]93.9537891924668[/C][/ROW]
[ROW][C]185[/C][C]2429[/C][C]2368.54401619626[/C][C]60.4559838037417[/C][/ROW]
[ROW][C]186[/C][C]151[/C][C]262.313620314229[/C][C]-111.313620314229[/C][/ROW]
[ROW][C]187[/C][C]474[/C][C]671.656655635443[/C][C]-197.656655635444[/C][/ROW]
[ROW][C]188[/C][C]141[/C][C]240.596110923947[/C][C]-99.596110923947[/C][/ROW]
[ROW][C]189[/C][C]1639[/C][C]1375.0715493525[/C][C]263.928450647498[/C][/ROW]
[ROW][C]190[/C][C]872[/C][C]849.489880098313[/C][C]22.510119901687[/C][/ROW]
[ROW][C]191[/C][C]1318[/C][C]1216.08412326713[/C][C]101.915876732874[/C][/ROW]
[ROW][C]192[/C][C]1018[/C][C]1183.04722314385[/C][C]-165.047223143852[/C][/ROW]
[ROW][C]193[/C][C]1383[/C][C]1296.4581567731[/C][C]86.5418432268993[/C][/ROW]
[ROW][C]194[/C][C]1314[/C][C]1137.19429792963[/C][C]176.805702070366[/C][/ROW]
[ROW][C]195[/C][C]1335[/C][C]1371.49776137608[/C][C]-36.4977613760839[/C][/ROW]
[ROW][C]196[/C][C]1403[/C][C]1327.42265239546[/C][C]75.5773476045442[/C][/ROW]
[ROW][C]197[/C][C]910[/C][C]998.771400302078[/C][C]-88.7714003020781[/C][/ROW]
[ROW][C]198[/C][C]616[/C][C]667.913492051727[/C][C]-51.9134920517266[/C][/ROW]
[ROW][C]199[/C][C]1407[/C][C]1452.03478953487[/C][C]-45.0347895348698[/C][/ROW]
[ROW][C]200[/C][C]771[/C][C]808.178684572968[/C][C]-37.1786845729683[/C][/ROW]
[ROW][C]201[/C][C]766[/C][C]764.150314594948[/C][C]1.84968540505159[/C][/ROW]
[ROW][C]202[/C][C]473[/C][C]488.335386882645[/C][C]-15.3353868826453[/C][/ROW]
[ROW][C]203[/C][C]1376[/C][C]1430.51494479205[/C][C]-54.5149447920521[/C][/ROW]
[ROW][C]204[/C][C]1232[/C][C]1200.10068355353[/C][C]31.8993164464726[/C][/ROW]
[ROW][C]205[/C][C]1521[/C][C]1492.59499246031[/C][C]28.405007539687[/C][/ROW]
[ROW][C]206[/C][C]572[/C][C]576.823578692006[/C][C]-4.8235786920062[/C][/ROW]
[ROW][C]207[/C][C]1059[/C][C]895.223154600105[/C][C]163.776845399895[/C][/ROW]
[ROW][C]208[/C][C]1544[/C][C]1588.79414800058[/C][C]-44.7941480005821[/C][/ROW]
[ROW][C]209[/C][C]1230[/C][C]1207.58644971332[/C][C]22.4135502866817[/C][/ROW]
[ROW][C]210[/C][C]1206[/C][C]1231.33970908941[/C][C]-25.3397090894091[/C][/ROW]
[ROW][C]211[/C][C]1205[/C][C]1112.89178970823[/C][C]92.108210291773[/C][/ROW]
[ROW][C]212[/C][C]1255[/C][C]1017.54535290411[/C][C]237.454647095893[/C][/ROW]
[ROW][C]213[/C][C]613[/C][C]604.325109929335[/C][C]8.67489007066492[/C][/ROW]
[ROW][C]214[/C][C]721[/C][C]807.677781530367[/C][C]-86.6777815303668[/C][/ROW]
[ROW][C]215[/C][C]1109[/C][C]1026.58836053954[/C][C]82.4116394604602[/C][/ROW]
[ROW][C]216[/C][C]740[/C][C]693.620948313761[/C][C]46.3790516862386[/C][/ROW]
[ROW][C]217[/C][C]1126[/C][C]1125.14753463759[/C][C]0.852465362414455[/C][/ROW]
[ROW][C]218[/C][C]728[/C][C]796.100880215395[/C][C]-68.1008802153954[/C][/ROW]
[ROW][C]219[/C][C]689[/C][C]741.919036343679[/C][C]-52.919036343679[/C][/ROW]
[ROW][C]220[/C][C]592[/C][C]622.233496085647[/C][C]-30.2334960856473[/C][/ROW]
[ROW][C]221[/C][C]995[/C][C]921.1702890315[/C][C]73.8297109685005[/C][/ROW]
[ROW][C]222[/C][C]1613[/C][C]1181.55477289554[/C][C]431.445227104456[/C][/ROW]
[ROW][C]223[/C][C]2048[/C][C]1753.11316473498[/C][C]294.886835265021[/C][/ROW]
[ROW][C]224[/C][C]705[/C][C]626.14591857862[/C][C]78.8540814213795[/C][/ROW]
[ROW][C]225[/C][C]301[/C][C]394.636983083235[/C][C]-93.6369830832354[/C][/ROW]
[ROW][C]226[/C][C]1803[/C][C]1728.73060134367[/C][C]74.2693986563336[/C][/ROW]
[ROW][C]227[/C][C]799[/C][C]824.706032538106[/C][C]-25.7060325381058[/C][/ROW]
[ROW][C]228[/C][C]861[/C][C]959.186320500938[/C][C]-98.1863205009378[/C][/ROW]
[ROW][C]229[/C][C]1186[/C][C]1055.16072873457[/C][C]130.839271265427[/C][/ROW]
[ROW][C]230[/C][C]1451[/C][C]1125.26703631983[/C][C]325.732963680167[/C][/ROW]
[ROW][C]231[/C][C]628[/C][C]573.491575628336[/C][C]54.5084243716639[/C][/ROW]
[ROW][C]232[/C][C]1161[/C][C]965.354621772854[/C][C]195.645378227146[/C][/ROW]
[ROW][C]233[/C][C]1463[/C][C]1358.04185500944[/C][C]104.958144990557[/C][/ROW]
[ROW][C]234[/C][C]742[/C][C]717.474752211633[/C][C]24.525247788367[/C][/ROW]
[ROW][C]235[/C][C]979[/C][C]1048.01997794674[/C][C]-69.019977946742[/C][/ROW]
[ROW][C]236[/C][C]675[/C][C]689.983418268225[/C][C]-14.9834182682248[/C][/ROW]
[ROW][C]237[/C][C]1241[/C][C]1195.25273919865[/C][C]45.7472608013495[/C][/ROW]
[ROW][C]238[/C][C]676[/C][C]646.806589010796[/C][C]29.1934109892045[/C][/ROW]
[ROW][C]239[/C][C]1049[/C][C]1047.83862247383[/C][C]1.16137752617276[/C][/ROW]
[ROW][C]240[/C][C]620[/C][C]677.54910209518[/C][C]-57.5491020951802[/C][/ROW]
[ROW][C]241[/C][C]1081[/C][C]975.99129327845[/C][C]105.008706721551[/C][/ROW]
[ROW][C]242[/C][C]1688[/C][C]1429.39835384618[/C][C]258.601646153817[/C][/ROW]
[ROW][C]243[/C][C]736[/C][C]748.886637832913[/C][C]-12.8866378329127[/C][/ROW]
[ROW][C]244[/C][C]617[/C][C]668.291688076519[/C][C]-51.2916880765185[/C][/ROW]
[ROW][C]245[/C][C]812[/C][C]858.117607551159[/C][C]-46.1176075511586[/C][/ROW]
[ROW][C]246[/C][C]1051[/C][C]1032.66307375516[/C][C]18.3369262448368[/C][/ROW]
[ROW][C]247[/C][C]1656[/C][C]1410.15954529106[/C][C]245.840454708936[/C][/ROW]
[ROW][C]248[/C][C]705[/C][C]787.892554714551[/C][C]-82.892554714551[/C][/ROW]
[ROW][C]249[/C][C]945[/C][C]1035.4819285162[/C][C]-90.4819285161962[/C][/ROW]
[ROW][C]250[/C][C]554[/C][C]636.592244456914[/C][C]-82.5922444569138[/C][/ROW]
[ROW][C]251[/C][C]1597[/C][C]1591.28512914312[/C][C]5.7148708568798[/C][/ROW]
[ROW][C]252[/C][C]982[/C][C]971.61903005562[/C][C]10.3809699443803[/C][/ROW]
[ROW][C]253[/C][C]222[/C][C]307.366502737819[/C][C]-85.3665027378194[/C][/ROW]
[ROW][C]254[/C][C]1212[/C][C]1214.34454925157[/C][C]-2.3445492515717[/C][/ROW]
[ROW][C]255[/C][C]1143[/C][C]1206.5592962295[/C][C]-63.5592962294956[/C][/ROW]
[ROW][C]256[/C][C]435[/C][C]516.55751562088[/C][C]-81.5575156208799[/C][/ROW]
[ROW][C]257[/C][C]532[/C][C]541.448563962857[/C][C]-9.4485639628567[/C][/ROW]
[ROW][C]258[/C][C]882[/C][C]947.075201626871[/C][C]-65.0752016268713[/C][/ROW]
[ROW][C]259[/C][C]608[/C][C]610.326469552447[/C][C]-2.32646955244657[/C][/ROW]
[ROW][C]260[/C][C]459[/C][C]460.945384961912[/C][C]-1.94538496191224[/C][/ROW]
[ROW][C]261[/C][C]578[/C][C]603.728814055326[/C][C]-25.7288140553262[/C][/ROW]
[ROW][C]262[/C][C]826[/C][C]792.06795129164[/C][C]33.9320487083596[/C][/ROW]
[ROW][C]263[/C][C]509[/C][C]448.416436582525[/C][C]60.5835634174746[/C][/ROW]
[ROW][C]264[/C][C]717[/C][C]654.250314420111[/C][C]62.7496855798891[/C][/ROW]
[ROW][C]265[/C][C]637[/C][C]689.150286878938[/C][C]-52.1502868789382[/C][/ROW]
[ROW][C]266[/C][C]857[/C][C]855.057795238426[/C][C]1.94220476157401[/C][/ROW]
[ROW][C]267[/C][C]830[/C][C]865.445196707383[/C][C]-35.4451967073831[/C][/ROW]
[ROW][C]268[/C][C]652[/C][C]814.364768486689[/C][C]-162.364768486689[/C][/ROW]
[ROW][C]269[/C][C]707[/C][C]797.787300158224[/C][C]-90.7873001582239[/C][/ROW]
[ROW][C]270[/C][C]954[/C][C]1015.17751921818[/C][C]-61.177519218181[/C][/ROW]
[ROW][C]271[/C][C]1461[/C][C]1308.05001637427[/C][C]152.949983625734[/C][/ROW]
[ROW][C]272[/C][C]672[/C][C]739.412882023129[/C][C]-67.4128820231285[/C][/ROW]
[ROW][C]273[/C][C]778[/C][C]800.97542206262[/C][C]-22.9754220626208[/C][/ROW]
[ROW][C]274[/C][C]1141[/C][C]1138.94096413296[/C][C]2.05903586704189[/C][/ROW]
[ROW][C]275[/C][C]680[/C][C]629.761804959873[/C][C]50.2381950401275[/C][/ROW]
[ROW][C]276[/C][C]1090[/C][C]999.538607867576[/C][C]90.4613921324244[/C][/ROW]
[ROW][C]277[/C][C]616[/C][C]542.799020670166[/C][C]73.2009793298344[/C][/ROW]
[ROW][C]278[/C][C]285[/C][C]327.741961761865[/C][C]-42.7419617618654[/C][/ROW]
[ROW][C]279[/C][C]1145[/C][C]1021.02514765723[/C][C]123.974852342765[/C][/ROW]
[ROW][C]280[/C][C]733[/C][C]763.616063801933[/C][C]-30.6160638019326[/C][/ROW]
[ROW][C]281[/C][C]888[/C][C]894.394198316745[/C][C]-6.39419831674548[/C][/ROW]
[ROW][C]282[/C][C]849[/C][C]871.720680209284[/C][C]-22.7206802092838[/C][/ROW]
[ROW][C]283[/C][C]1182[/C][C]1152.01519317384[/C][C]29.9848068261585[/C][/ROW]
[ROW][C]284[/C][C]528[/C][C]561.307254862491[/C][C]-33.3072548624907[/C][/ROW]
[ROW][C]285[/C][C]642[/C][C]708.44373830914[/C][C]-66.4437383091397[/C][/ROW]
[ROW][C]286[/C][C]947[/C][C]562.402214027473[/C][C]384.597785972527[/C][/ROW]
[ROW][C]287[/C][C]819[/C][C]685.748143764062[/C][C]133.251856235938[/C][/ROW]
[ROW][C]288[/C][C]757[/C][C]657.296916723866[/C][C]99.7030832761338[/C][/ROW]
[ROW][C]289[/C][C]894[/C][C]877.251092552224[/C][C]16.7489074477764[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155773&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155773&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
114181334.0437574675183.956242532486
28691073.94024761721-204.940247617212
315301592.33473788381-62.3347378838098
421722527.77508671057-355.775086710574
5901911.49188787962-10.4918878796198
6463525.899174781499-62.8991747814989
732013625.39679955676-424.396799556761
8371431.577630920943-60.5776309209434
911921166.4785382493325.5214617506673
1015831621.70426408957-38.7042640895746
1114391380.3147664589258.6852335410825
1217641895.96009742922-131.960097429223
1314951574.53816195062-79.5381619506184
1413731454.4980327367-81.4980327366973
1521872290.72297033565-103.722970335652
1614911510.94828429998-19.9482842999769
1740413759.42377465071281.576225349286
1817061709.08725370537-3.08725370536838
1921522372.8053023686-220.805302368597
2010361158.1175074323-122.1175074323
2118821781.61990245868100.380097541317
2219291763.09689592984165.903104070159
2322422472.24395123627-230.243951236272
2412201180.7992290001839.2007709998208
2512891317.67836271471-28.6783627147148
2625152597.48013595032-82.4801359503175
2721472118.7324839310728.2675160689264
2823522453.22234914736-101.222349147358
2916381624.5713276712513.4286723287514
3012221291.09502290883-69.0950229088306
3118121973.17884399557-161.178843995568
3216771728.84070744868-51.8407074486819
3315791560.8081814584718.1918185415337
3417311861.55629977465-130.556299774649
35807881.93190908344-74.9319090834394
3624522529.45689031271-77.4568903127124
37829807.46803565657121.5319643434286
3819402063.67557516443-123.675575164434
3926622471.04957776604190.950422233957
40186279.659142674358-93.6591426743576
4114991479.0994703966719.9005296033264
42865788.02025925854776.9797407414528
4317931525.92921512092267.070784879084
4425272561.80792105991-34.8079210599061
4527472961.00969004342-214.009690043421
4613241520.10921766807-196.109217668069
4727022396.51766239634305.482337603658
4813831520.32316635569-137.323166355688
4911791038.54555687782140.454443122178
5020992055.9164264995943.0835735004149
5143084759.94587219191-451.94587219191
52918974.654835176747-56.6548351767475
5318311649.35586721098181.644132789018
5433733040.31324648423332.686753515774
5517131865.89334551627-152.89334551627
5614381389.6682015672148.3317984327886
57496609.899160478377-113.899160478377
5822532768.62843633088-515.62843633088
59744743.6441790477640.355820952236194
6011611334.85604448509-173.856044485086
6123522139.27753473391212.722465266089
6221441758.82134458301385.178655416993
6346913552.715248975641138.28475102436
6411121107.308986830224.69101316977774
6526942464.64689118623229.353108813774
6619732276.32481792967-303.324817929669
6717691885.836171237-116.836171237003
6831482860.97621083899287.023789161012
6924742493.65304154543-19.6530415454343
7020842219.8726484248-135.872648424804
7119541866.8980762694587.1019237305493
7212261357.07871121497-131.078711214969
7313891236.16307551304152.836924486961
7414961531.39220195433-35.3922019543327
7522692128.15632795209140.843672047915
7618331924.39950214933-91.3995021493253
7712681469.81351301852-201.813513018522
7819431823.63695551359119.363044486411
798931067.78611859636-174.786118596364
8017621658.69936664448103.300633355515
8114031625.89444883846-222.894448838464
8214251451.29577697101-26.295776971009
8318572193.42115791347-336.421157913475
8418402008.01912702524-168.019127025236
8515021504.44208136811-2.44208136811499
8614411388.7304873937752.2695126062308
8714201493.7834854565-73.7834854565033
8814161348.570765686267.4292343138032
8929702684.29378680504285.706213194962
9013171651.51134415217-334.51134415217
9116441462.66494260836181.335057391639
928701127.15998092104-257.15998092104
9316541846.1675440414-192.167544041401
9410541008.7815107380545.2184892619501
95937877.04428743221259.9557125677881
9630043257.34877322458-253.348773224581
9720081946.0942051342561.9057948657544
9825472375.85523213856171.144767861444
9918851788.8852192246996.1147807753147
10016261660.20334674944-34.2033467494423
10114681389.675248460778.3247515392991
10224452316.53576659409128.464233405911
10319642037.07155028623-73.0715502862282
10413811323.1213404822357.8786595177725
10513691356.2837663886412.7162336113609
10616591757.04753191207-98.0475319120667
10728882691.02369715692196.976302843081
10812901045.32677206754244.673227932461
10928452879.6753755059-34.6753755059011
11019821934.6266151980247.3733848019796
11119041948.01372802204-44.013728022041
11213911606.75962923488-215.759629234881
113602642.096417206094-40.0964172060943
11417431664.2096557694378.79034423057
11515591657.74975358155-98.7497535815542
11620142170.8418869696-156.841886969597
11721432246.81881386245-103.81881386245
11821461984.86576080194161.134239198063
119874885.488117308486-11.4881173084857
12015901491.6357242632198.3642757367883
12115901432.36190816808157.638091831923
12212101287.9364673088-77.936467308799
12320722034.8055845441837.1944154558189
12412811403.86986317362-122.869863173616
12514011376.2999672130424.7000327869646
126834806.1993722505927.8006277494107
12711051142.38059310806-37.3805931080626
12812721041.91628922061230.083710779391
12919441843.32412457306100.67587542694
130391446.393062369773-55.393062369773
131761733.28762747242627.7123725275744
13216051638.8448957242-33.8448957242019
133530649.759757444524-119.759757444524
13419881695.20260928753292.797390712471
13513861418.12527038316-32.1252703831647
13623952549.41941259733-154.419412597332
137387428.20986270886-41.2098627088597
13817421817.97708978721-75.9770897872098
139620572.78928138770247.2107186122975
140449576.326149832999-127.326149832999
141800834.01856424116-34.01856424116
14216841470.87123698708213.128763012919
14310501106.42542668521-56.4254266852084
14426992648.5520164240550.4479835759472
14516061522.0302410689183.9697589310937
14615021282.04535534908219.954644650917
14712041283.49414275224-79.4941427522442
14811381109.5915147974128.408485202586
149568821.007438304703-253.007438304703
15014591427.918632655831.0813673442022
15121582191.32367598904-33.3236759890366
15211111221.15492643091-110.154926430908
15314211318.54986910047102.450130899532
15428333121.14049549786-288.140495497859
15519552172.84935197737-217.84935197737
15629222761.71002399022160.289976009785
15710021138.19579056901-136.195790569014
15810601154.94173188442-94.9417318844188
159956996.056841248205-40.0568412482046
16021862604.0047751482-418.004775148195
16136043373.67061547277230.329384527231
16210351086.60826524236-51.6082652423638
16314171509.14073997346-92.1407399734573
16432613414.87384240248-153.873842402483
16515871617.95824652389-30.9582465238895
16614241423.741630072730.258369927267304
16717011785.77291105222-84.7729110522175
16812491386.68912976293-137.689129762933
169946930.15820646723815.8417935327617
17019261800.33686125819125.663138741806
17133523332.5140305585419.4859694414583
17216411650.13029682469-9.1302968246895
17320351808.66534795217226.334652047826
17423122134.26217256403177.73782743597
17513691584.66473472504-215.664734725043
17615771577.12366230773-0.123662307733426
17722012139.6862871018361.3137128981665
178961944.97554206824416.0244579317556
17919001867.6062315304432.3937684695634
18012541270.52253013172-16.52253013172
18113351284.7281185197250.2718814802821
18215971511.4562316031585.54376839685
183207289.341195858671-82.3411958586707
18416451551.0462108075393.9537891924668
18524292368.5440161962660.4559838037417
186151262.313620314229-111.313620314229
187474671.656655635443-197.656655635444
188141240.596110923947-99.596110923947
18916391375.0715493525263.928450647498
190872849.48988009831322.510119901687
19113181216.08412326713101.915876732874
19210181183.04722314385-165.047223143852
19313831296.458156773186.5418432268993
19413141137.19429792963176.805702070366
19513351371.49776137608-36.4977613760839
19614031327.4226523954675.5773476045442
197910998.771400302078-88.7714003020781
198616667.913492051727-51.9134920517266
19914071452.03478953487-45.0347895348698
200771808.178684572968-37.1786845729683
201766764.1503145949481.84968540505159
202473488.335386882645-15.3353868826453
20313761430.51494479205-54.5149447920521
20412321200.1006835535331.8993164464726
20515211492.5949924603128.405007539687
206572576.823578692006-4.8235786920062
2071059895.223154600105163.776845399895
20815441588.79414800058-44.7941480005821
20912301207.5864497133222.4135502866817
21012061231.33970908941-25.3397090894091
21112051112.8917897082392.108210291773
21212551017.54535290411237.454647095893
213613604.3251099293358.67489007066492
214721807.677781530367-86.6777815303668
21511091026.5883605395482.4116394604602
216740693.62094831376146.3790516862386
21711261125.147534637590.852465362414455
218728796.100880215395-68.1008802153954
219689741.919036343679-52.919036343679
220592622.233496085647-30.2334960856473
221995921.170289031573.8297109685005
22216131181.55477289554431.445227104456
22320481753.11316473498294.886835265021
224705626.1459185786278.8540814213795
225301394.636983083235-93.6369830832354
22618031728.7306013436774.2693986563336
227799824.706032538106-25.7060325381058
228861959.186320500938-98.1863205009378
22911861055.16072873457130.839271265427
23014511125.26703631983325.732963680167
231628573.49157562833654.5084243716639
2321161965.354621772854195.645378227146
23314631358.04185500944104.958144990557
234742717.47475221163324.525247788367
2359791048.01997794674-69.019977946742
236675689.983418268225-14.9834182682248
23712411195.2527391986545.7472608013495
238676646.80658901079629.1934109892045
23910491047.838622473831.16137752617276
240620677.54910209518-57.5491020951802
2411081975.99129327845105.008706721551
24216881429.39835384618258.601646153817
243736748.886637832913-12.8866378329127
244617668.291688076519-51.2916880765185
245812858.117607551159-46.1176075511586
24610511032.6630737551618.3369262448368
24716561410.15954529106245.840454708936
248705787.892554714551-82.892554714551
2499451035.4819285162-90.4819285161962
250554636.592244456914-82.5922444569138
25115971591.285129143125.7148708568798
252982971.6190300556210.3809699443803
253222307.366502737819-85.3665027378194
25412121214.34454925157-2.3445492515717
25511431206.5592962295-63.5592962294956
256435516.55751562088-81.5575156208799
257532541.448563962857-9.4485639628567
258882947.075201626871-65.0752016268713
259608610.326469552447-2.32646955244657
260459460.945384961912-1.94538496191224
261578603.728814055326-25.7288140553262
262826792.0679512916433.9320487083596
263509448.41643658252560.5835634174746
264717654.25031442011162.7496855798891
265637689.150286878938-52.1502868789382
266857855.0577952384261.94220476157401
267830865.445196707383-35.4451967073831
268652814.364768486689-162.364768486689
269707797.787300158224-90.7873001582239
2709541015.17751921818-61.177519218181
27114611308.05001637427152.949983625734
272672739.412882023129-67.4128820231285
273778800.97542206262-22.9754220626208
27411411138.940964132962.05903586704189
275680629.76180495987350.2381950401275
2761090999.53860786757690.4613921324244
277616542.79902067016673.2009793298344
278285327.741961761865-42.7419617618654
27911451021.02514765723123.974852342765
280733763.616063801933-30.6160638019326
281888894.394198316745-6.39419831674548
282849871.720680209284-22.7206802092838
28311821152.0151931738429.9848068261585
284528561.307254862491-33.3072548624907
285642708.44373830914-66.4437383091397
286947562.402214027473384.597785972527
287819685.748143764062133.251856235938
288757657.29691672386699.7030832761338
289894877.25109255222416.7489074477764







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
180.4678657964082790.9357315928165580.532134203591721
190.4402067021528420.8804134043056840.559793297847158
200.8439480292446840.3121039415106320.156051970755316
210.7638820489695060.4722359020609870.236117951030494
220.7738471858370460.4523056283259090.226152814162954
230.7112235252880990.5775529494238020.288776474711901
240.6209636815412540.7580726369174910.379036318458746
250.6416567693210410.7166864613579170.358343230678959
260.5745047006582630.8509905986834750.425495299341737
270.5945588760657120.8108822478685760.405441123934288
280.5326149332005310.9347701335989380.467385066799469
290.4987023761425920.9974047522851830.501297623857408
300.4216441577145250.843288315429050.578355842285475
310.4707868559137710.9415737118275420.529213144086229
320.4145327830976870.8290655661953750.585467216902313
330.3873318178979040.7746636357958090.612668182102096
340.3937346808490080.7874693616980160.606265319150992
350.3449870531585250.689974106317050.655012946841475
360.2874868042503970.5749736085007940.712513195749603
370.2472380573627020.4944761147254040.752761942637298
380.2021622344190820.4043244688381630.797837765580918
390.2142857402202380.4285714804404770.785714259779762
400.1801376503958410.3602753007916830.819862349604159
410.1450752676206590.2901505352413170.854924732379341
420.1307560453454770.2615120906909540.869243954654523
430.182825254786040.365650509572080.81717474521396
440.1466888925738340.2933777851476670.853311107426166
450.1382550516692460.2765101033384910.861744948330754
460.1512689180243260.3025378360486520.848731081975674
470.2339764388981150.4679528777962310.766023561101885
480.2235127964948160.4470255929896320.776487203505184
490.208764782398470.4175295647969410.79123521760153
500.1961852515305060.3923705030610110.803814748469494
510.3559926075189190.7119852150378370.644007392481081
520.3169176630871130.6338353261742250.683082336912887
530.3339435383931010.6678870767862010.6660564616069
540.7371532955443180.5256934089113640.262846704455682
550.7137693659337030.5724612681325950.286230634066297
560.6770458481722780.6459083036554450.322954151827722
570.6463076838357640.7073846323284720.353692316164236
580.8908523602056430.2182952795887140.109147639794357
590.868307102244470.2633857955110590.13169289775553
600.8572930128061230.2854139743877530.142706987193877
610.8825228867941540.2349542264116930.117477113205846
620.955270884972510.08945823005498040.0447291150274902
630.999999999012971.97406119616053e-099.87030598080265e-10
640.9999999982314983.53700453373984e-091.76850226686992e-09
650.9999999995309259.38149485885008e-104.69074742942504e-10
660.9999999999433521.13296333110393e-105.66481665551965e-11
670.9999999999206841.5863293507743e-107.93164675387148e-11
680.9999999999703125.93761767831247e-112.96880883915623e-11
690.9999999999437631.12473305014995e-105.62366525074974e-11
700.999999999924361.51281367542294e-107.56406837711469e-11
710.9999999998965652.06869509074724e-101.03434754537362e-10
720.9999999998580032.83993762620286e-101.41996881310143e-10
730.9999999998564172.87165684183449e-101.43582842091725e-10
740.9999999997775464.44908480542754e-102.22454240271377e-10
750.9999999998105443.7891159263574e-101.8945579631787e-10
760.9999999997349745.30052140420979e-102.65026070210489e-10
770.9999999997896744.20650998884721e-102.1032549944236e-10
780.9999999997805014.38997111094407e-102.19498555547203e-10
790.9999999997846854.30629863051903e-102.15314931525951e-10
800.999999999706085.87838381438075e-102.93919190719037e-10
810.999999999813283.73439644966386e-101.86719822483193e-10
820.9999999996625026.74996992354563e-103.37498496177282e-10
830.9999999999407451.18509480109227e-105.92547400546134e-11
840.9999999999426471.14705285815807e-105.73526429079033e-11
850.9999999999154221.69156459951617e-108.45782299758083e-11
860.999999999861022.77961079800445e-101.38980539900222e-10
870.9999999997728244.54351063689853e-102.27175531844926e-10
880.9999999996397667.2046880928127e-103.60234404640635e-10
890.9999999999120781.75844535934017e-108.79222679670084e-11
900.9999999999878742.42527406144381e-111.2126370307219e-11
910.9999999999900751.98489885191807e-119.92449425959037e-12
920.9999999999952979.40561702112305e-124.70280851056152e-12
930.999999999996936.14169230361542e-123.07084615180771e-12
940.9999999999950639.8735745644177e-124.93678728220885e-12
950.9999999999921121.57765724313444e-117.8882862156722e-12
960.9999999999975944.81207476896333e-122.40603738448166e-12
970.9999999999958068.38785943886559e-124.1939297194328e-12
980.9999999999965256.94970832386135e-123.47485416193067e-12
990.999999999994611.07803806560385e-115.39019032801923e-12
1000.9999999999917111.65784205436591e-118.28921027182956e-12
1010.9999999999873392.53225978330631e-111.26612989165316e-11
1020.9999999999849793.00424620072117e-111.50212310036059e-11
1030.9999999999814183.71635473961527e-111.85817736980764e-11
1040.9999999999684746.30515916124277e-113.15257958062139e-11
1050.9999999999430731.13853934695611e-105.69269673478057e-11
1060.999999999923731.52538636054041e-107.62693180270207e-11
1070.9999999999433841.13231794268113e-105.66158971340567e-11
1080.999999999974515.0978425064738e-112.5489212532369e-11
1090.9999999999563488.73046327407937e-114.36523163703969e-11
1100.9999999999261041.47792046882584e-107.3896023441292e-11
1110.9999999998751122.4977646019063e-101.24888230095315e-10
1120.9999999999231541.53691758082736e-107.6845879041368e-11
1130.9999999998732962.53406978099561e-101.26703489049781e-10
1140.999999999809983.80040404737034e-101.90020202368517e-10
1150.9999999997851254.29749795411135e-102.14874897705567e-10
1160.999999999885262.29481014386404e-101.14740507193202e-10
1170.9999999998325253.34950407161588e-101.67475203580794e-10
1180.9999999998307963.38407222496988e-101.69203611248494e-10
1190.9999999997044375.91125626329169e-102.95562813164584e-10
1200.9999999996313187.37363397877925e-103.68681698938963e-10
1210.9999999995814368.37128881993285e-104.18564440996642e-10
1220.999999999309731.3805403409939e-096.90270170496948e-10
1230.9999999990042861.99142710271015e-099.95713551355074e-10
1240.9999999985737882.85242381559748e-091.42621190779874e-09
1250.9999999975911234.81775299070026e-092.40887649535013e-09
1260.99999999608487.8303994318157e-093.91519971590785e-09
1270.99999999369161.26167989057512e-086.30839945287559e-09
1280.9999999962497247.50055251823844e-093.75027625911922e-09
1290.9999999951121299.77574191050576e-094.88787095525288e-09
1300.9999999918927361.62145280140043e-088.10726400700213e-09
1310.999999986998092.60038214866635e-081.30019107433317e-08
1320.9999999798766214.02467573602851e-082.01233786801426e-08
1330.999999972561575.48768574042616e-082.74384287021308e-08
1340.9999999905492361.89015269797705e-089.45076348988525e-09
1350.9999999960202697.95946197810208e-093.97973098905104e-09
1360.9999999971073075.78538566775428e-092.89269283387714e-09
1370.9999999951806059.6387905018661e-094.81939525093305e-09
1380.9999999937747151.24505696987903e-086.22528484939516e-09
1390.999999990615531.87689404183907e-089.38447020919536e-09
1400.9999999892065422.15869164869415e-081.07934582434707e-08
1410.9999999825867033.48265946834275e-081.74132973417138e-08
1420.999999987244442.55111218096486e-081.27555609048243e-08
1430.999999981368753.7262499061719e-081.86312495308595e-08
1440.9999999719578285.60843448216643e-082.80421724108322e-08
1450.9999999570863938.58272149123168e-084.29136074561584e-08
1460.999999977548364.49032805001546e-082.24516402500773e-08
1470.9999999716369915.67260175198395e-082.83630087599198e-08
1480.999999954008149.19837195186268e-084.59918597593134e-08
1490.999999978994544.20109183947475e-082.10054591973738e-08
1500.9999999655437316.89125370792905e-083.44562685396453e-08
1510.9999999471578711.05684257607325e-075.28421288036626e-08
1520.9999999232616321.5347673599724e-077.67383679986199e-08
1530.9999999076225821.84754836695086e-079.23774183475429e-08
1540.9999999805126523.89746963181884e-081.94873481590942e-08
1550.9999999902854221.94291562110897e-089.71457810554487e-09
1560.9999999887319162.25361670512024e-081.12680835256012e-08
1570.9999999904636881.90726234102551e-089.53631170512755e-09
1580.9999999910988811.78022370271536e-088.90111851357681e-09
1590.9999999864068882.71862236384705e-081.35931118192352e-08
1600.9999999998057623.88476175692462e-101.94238087846231e-10
1610.9999999997935664.12866992202528e-102.06433496101264e-10
1620.99999999979094.18198652368252e-102.09099326184126e-10
1630.9999999996932286.13544203908139e-103.06772101954069e-10
1640.9999999998871362.25728879562656e-101.12864439781328e-10
1650.999999999857562.84880620915076e-101.42440310457538e-10
1660.9999999997719974.56005226384837e-102.28002613192419e-10
1670.9999999998212743.57451749028478e-101.78725874514239e-10
1680.9999999998317443.36511158066143e-101.68255579033072e-10
1690.9999999996958256.08350430537615e-103.04175215268808e-10
1700.999999999588218.23579718320632e-104.11789859160316e-10
1710.999999999740775.184611804227e-102.5923059021135e-10
1720.9999999995698038.60393642987508e-104.30196821493754e-10
1730.999999999811723.76561451285007e-101.88280725642503e-10
1740.9999999997247585.50483447065755e-102.75241723532877e-10
1750.9999999999764284.7143648371185e-112.35718241855925e-11
1760.9999999999584078.31860440213292e-114.15930220106646e-11
1770.9999999999570478.59068510654653e-114.29534255327327e-11
1780.9999999999187181.62564097794753e-108.12820488973767e-11
1790.999999999919841.60319526679648e-108.01597633398242e-11
1800.9999999998501782.99644790835737e-101.49822395417868e-10
1810.9999999997285985.42804520812383e-102.71402260406192e-10
1820.9999999995240749.51851551518535e-104.75925775759268e-10
1830.9999999991383351.7233299631746e-098.61664981587298e-10
1840.999999998648932.70213904013902e-091.35106952006951e-09
1850.9999999996064537.87093800900706e-103.93546900450353e-10
1860.9999999992898031.42039498971725e-097.10197494858624e-10
1870.9999999993731471.25370561234425e-096.26852806172126e-10
1880.9999999988537252.29255026422902e-091.14627513211451e-09
1890.9999999994653031.06939367118313e-095.34696835591563e-10
1900.9999999991699881.66002339310038e-098.30011696550191e-10
1910.9999999984961353.00773080406646e-091.50386540203323e-09
1920.9999999979199224.16015619786242e-092.08007809893121e-09
1930.999999996412257.17550039134582e-093.58775019567291e-09
1940.999999994795071.04098619459286e-085.20493097296429e-09
1950.9999999905678331.88643332762461e-089.43216663812305e-09
1960.9999999847346333.05307337131089e-081.52653668565544e-08
1970.9999999750462094.99075825130816e-082.49537912565408e-08
1980.9999999561090038.77819934804206e-084.38909967402103e-08
1990.9999999517704949.64590109802556e-084.82295054901278e-08
2000.9999999148694911.7026101728248e-078.51305086412398e-08
2010.9999998655859742.68828052436955e-071.34414026218477e-07
2020.9999997663351524.67329696153429e-072.33664848076714e-07
2030.999999628173977.43652061629067e-073.71826030814534e-07
2040.9999994288620221.14227595601889e-065.71137978009447e-07
2050.9999992508934561.49821308824316e-067.4910654412158e-07
2060.9999987492501942.50149961236888e-061.25074980618444e-06
2070.9999987792434372.44151312591735e-061.22075656295867e-06
2080.9999985014202462.99715950837287e-061.49857975418643e-06
2090.999997531126574.93774686045136e-062.46887343022568e-06
2100.9999966288095726.7423808563353e-063.37119042816765e-06
2110.9999946201772551.07596454894314e-055.3798227447157e-06
2120.9999976095401164.78091976723174e-062.39045988361587e-06
2130.9999959027866788.19442664343926e-064.09721332171963e-06
2140.9999961820114227.63597715585134e-063.81798857792567e-06
2150.9999947315237621.05369524766944e-055.26847623834719e-06
2160.9999911648559971.76702880064782e-058.83514400323912e-06
2170.9999881550348462.36899303088213e-051.18449651544106e-05
2180.999995116510329.76697935957582e-064.88348967978791e-06
2190.9999928846814521.4230637095989e-057.1153185479945e-06
2200.99998779750432.44049914002765e-051.22024957001382e-05
2210.999980810893723.83782125608049e-051.91891062804024e-05
2220.9999856073408822.87853182362549e-051.43926591181274e-05
2230.999988648544492.27029110204091e-051.13514555102045e-05
2240.999981573697143.68526057188511e-051.84263028594255e-05
2250.9999748124693635.03750612742747e-052.51875306371373e-05
2260.9999580405196278.39189607452353e-054.19594803726177e-05
2270.9999329958842020.0001340082315955096.70041157977544e-05
2280.9999100285365690.0001799429268629698.99714634314847e-05
2290.9999221106583290.0001557786833421577.78893416710785e-05
2300.9999874482912822.51034174359999e-051.2551708718e-05
2310.9999803704146063.92591707888221e-051.9629585394411e-05
2320.99998871202392.25759522013679e-051.12879761006839e-05
2330.9999855666002962.88667994085315e-051.44333997042658e-05
2340.9999747827935795.04344128428871e-052.52172064214435e-05
2350.9999782703665934.34592668148963e-052.17296334074481e-05
2360.99996222542817.55491437980808e-053.77745718990404e-05
2370.999932137304680.0001357253906387326.78626953193662e-05
2380.9998920433831630.0002159132336741690.000107956616837084
2390.9998133896548170.0003732206903651530.000186610345182576
2400.999734969877760.000530060244481680.00026503012224084
2410.999598965700190.0008020685996211620.000401034299810581
2420.999892022868450.0002159542631014120.000107977131550706
2430.9998026374486610.0003947251026770510.000197362551338525
2440.999707098260950.0005858034780992330.000292901739049616
2450.9994974639046060.001005072190787950.000502536095393973
2460.9994202284617160.001159543076567140.00057977153828357
2470.9998969596741170.0002060806517654150.000103040325882708
2480.9998270802809420.0003458394381160310.000172919719058015
2490.999694509264730.0006109814705412470.000305490735270624
2500.9994585965779670.001082806844067030.000541403422033514
2510.9991211281141050.001757743771790890.000878871885895446
2520.998475300506240.003049398987521740.00152469949376087
2530.9974085646524970.005182870695005970.00259143534750298
2540.995552831535240.008894336929519540.00444716846475977
2550.9928336171774120.01433276564517590.00716638282258797
2560.9885924313411570.02281513731768550.0114075686588427
2570.9810049418402550.03799011631948990.018995058159745
2580.9717138975852730.0565722048294540.028286102414727
2590.955072937918880.08985412416223880.0449270620811194
2600.9321773472610040.1356453054779910.0678226527389955
2610.9496425591522940.1007148816954120.0503574408477061
2620.9317332625002340.1365334749995320.0682667374997658
2630.9182415729478210.1635168541043580.0817584270521792
2640.8730793206266310.2538413587467370.126920679373369
2650.820041172077020.3599176558459580.179958827922979
2660.7392674396059680.5214651207880630.260732560394032
2670.6595339510505660.6809320978988680.340466048949434
2680.7994810253982580.4010379492034840.200518974601742
2690.7594290296501430.4811419406997130.240570970349857
2700.9154573659820610.1690852680358780.0845426340179391
2710.8108463910034030.3783072179931950.189153608996597

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
18 & 0.467865796408279 & 0.935731592816558 & 0.532134203591721 \tabularnewline
19 & 0.440206702152842 & 0.880413404305684 & 0.559793297847158 \tabularnewline
20 & 0.843948029244684 & 0.312103941510632 & 0.156051970755316 \tabularnewline
21 & 0.763882048969506 & 0.472235902060987 & 0.236117951030494 \tabularnewline
22 & 0.773847185837046 & 0.452305628325909 & 0.226152814162954 \tabularnewline
23 & 0.711223525288099 & 0.577552949423802 & 0.288776474711901 \tabularnewline
24 & 0.620963681541254 & 0.758072636917491 & 0.379036318458746 \tabularnewline
25 & 0.641656769321041 & 0.716686461357917 & 0.358343230678959 \tabularnewline
26 & 0.574504700658263 & 0.850990598683475 & 0.425495299341737 \tabularnewline
27 & 0.594558876065712 & 0.810882247868576 & 0.405441123934288 \tabularnewline
28 & 0.532614933200531 & 0.934770133598938 & 0.467385066799469 \tabularnewline
29 & 0.498702376142592 & 0.997404752285183 & 0.501297623857408 \tabularnewline
30 & 0.421644157714525 & 0.84328831542905 & 0.578355842285475 \tabularnewline
31 & 0.470786855913771 & 0.941573711827542 & 0.529213144086229 \tabularnewline
32 & 0.414532783097687 & 0.829065566195375 & 0.585467216902313 \tabularnewline
33 & 0.387331817897904 & 0.774663635795809 & 0.612668182102096 \tabularnewline
34 & 0.393734680849008 & 0.787469361698016 & 0.606265319150992 \tabularnewline
35 & 0.344987053158525 & 0.68997410631705 & 0.655012946841475 \tabularnewline
36 & 0.287486804250397 & 0.574973608500794 & 0.712513195749603 \tabularnewline
37 & 0.247238057362702 & 0.494476114725404 & 0.752761942637298 \tabularnewline
38 & 0.202162234419082 & 0.404324468838163 & 0.797837765580918 \tabularnewline
39 & 0.214285740220238 & 0.428571480440477 & 0.785714259779762 \tabularnewline
40 & 0.180137650395841 & 0.360275300791683 & 0.819862349604159 \tabularnewline
41 & 0.145075267620659 & 0.290150535241317 & 0.854924732379341 \tabularnewline
42 & 0.130756045345477 & 0.261512090690954 & 0.869243954654523 \tabularnewline
43 & 0.18282525478604 & 0.36565050957208 & 0.81717474521396 \tabularnewline
44 & 0.146688892573834 & 0.293377785147667 & 0.853311107426166 \tabularnewline
45 & 0.138255051669246 & 0.276510103338491 & 0.861744948330754 \tabularnewline
46 & 0.151268918024326 & 0.302537836048652 & 0.848731081975674 \tabularnewline
47 & 0.233976438898115 & 0.467952877796231 & 0.766023561101885 \tabularnewline
48 & 0.223512796494816 & 0.447025592989632 & 0.776487203505184 \tabularnewline
49 & 0.20876478239847 & 0.417529564796941 & 0.79123521760153 \tabularnewline
50 & 0.196185251530506 & 0.392370503061011 & 0.803814748469494 \tabularnewline
51 & 0.355992607518919 & 0.711985215037837 & 0.644007392481081 \tabularnewline
52 & 0.316917663087113 & 0.633835326174225 & 0.683082336912887 \tabularnewline
53 & 0.333943538393101 & 0.667887076786201 & 0.6660564616069 \tabularnewline
54 & 0.737153295544318 & 0.525693408911364 & 0.262846704455682 \tabularnewline
55 & 0.713769365933703 & 0.572461268132595 & 0.286230634066297 \tabularnewline
56 & 0.677045848172278 & 0.645908303655445 & 0.322954151827722 \tabularnewline
57 & 0.646307683835764 & 0.707384632328472 & 0.353692316164236 \tabularnewline
58 & 0.890852360205643 & 0.218295279588714 & 0.109147639794357 \tabularnewline
59 & 0.86830710224447 & 0.263385795511059 & 0.13169289775553 \tabularnewline
60 & 0.857293012806123 & 0.285413974387753 & 0.142706987193877 \tabularnewline
61 & 0.882522886794154 & 0.234954226411693 & 0.117477113205846 \tabularnewline
62 & 0.95527088497251 & 0.0894582300549804 & 0.0447291150274902 \tabularnewline
63 & 0.99999999901297 & 1.97406119616053e-09 & 9.87030598080265e-10 \tabularnewline
64 & 0.999999998231498 & 3.53700453373984e-09 & 1.76850226686992e-09 \tabularnewline
65 & 0.999999999530925 & 9.38149485885008e-10 & 4.69074742942504e-10 \tabularnewline
66 & 0.999999999943352 & 1.13296333110393e-10 & 5.66481665551965e-11 \tabularnewline
67 & 0.999999999920684 & 1.5863293507743e-10 & 7.93164675387148e-11 \tabularnewline
68 & 0.999999999970312 & 5.93761767831247e-11 & 2.96880883915623e-11 \tabularnewline
69 & 0.999999999943763 & 1.12473305014995e-10 & 5.62366525074974e-11 \tabularnewline
70 & 0.99999999992436 & 1.51281367542294e-10 & 7.56406837711469e-11 \tabularnewline
71 & 0.999999999896565 & 2.06869509074724e-10 & 1.03434754537362e-10 \tabularnewline
72 & 0.999999999858003 & 2.83993762620286e-10 & 1.41996881310143e-10 \tabularnewline
73 & 0.999999999856417 & 2.87165684183449e-10 & 1.43582842091725e-10 \tabularnewline
74 & 0.999999999777546 & 4.44908480542754e-10 & 2.22454240271377e-10 \tabularnewline
75 & 0.999999999810544 & 3.7891159263574e-10 & 1.8945579631787e-10 \tabularnewline
76 & 0.999999999734974 & 5.30052140420979e-10 & 2.65026070210489e-10 \tabularnewline
77 & 0.999999999789674 & 4.20650998884721e-10 & 2.1032549944236e-10 \tabularnewline
78 & 0.999999999780501 & 4.38997111094407e-10 & 2.19498555547203e-10 \tabularnewline
79 & 0.999999999784685 & 4.30629863051903e-10 & 2.15314931525951e-10 \tabularnewline
80 & 0.99999999970608 & 5.87838381438075e-10 & 2.93919190719037e-10 \tabularnewline
81 & 0.99999999981328 & 3.73439644966386e-10 & 1.86719822483193e-10 \tabularnewline
82 & 0.999999999662502 & 6.74996992354563e-10 & 3.37498496177282e-10 \tabularnewline
83 & 0.999999999940745 & 1.18509480109227e-10 & 5.92547400546134e-11 \tabularnewline
84 & 0.999999999942647 & 1.14705285815807e-10 & 5.73526429079033e-11 \tabularnewline
85 & 0.999999999915422 & 1.69156459951617e-10 & 8.45782299758083e-11 \tabularnewline
86 & 0.99999999986102 & 2.77961079800445e-10 & 1.38980539900222e-10 \tabularnewline
87 & 0.999999999772824 & 4.54351063689853e-10 & 2.27175531844926e-10 \tabularnewline
88 & 0.999999999639766 & 7.2046880928127e-10 & 3.60234404640635e-10 \tabularnewline
89 & 0.999999999912078 & 1.75844535934017e-10 & 8.79222679670084e-11 \tabularnewline
90 & 0.999999999987874 & 2.42527406144381e-11 & 1.2126370307219e-11 \tabularnewline
91 & 0.999999999990075 & 1.98489885191807e-11 & 9.92449425959037e-12 \tabularnewline
92 & 0.999999999995297 & 9.40561702112305e-12 & 4.70280851056152e-12 \tabularnewline
93 & 0.99999999999693 & 6.14169230361542e-12 & 3.07084615180771e-12 \tabularnewline
94 & 0.999999999995063 & 9.8735745644177e-12 & 4.93678728220885e-12 \tabularnewline
95 & 0.999999999992112 & 1.57765724313444e-11 & 7.8882862156722e-12 \tabularnewline
96 & 0.999999999997594 & 4.81207476896333e-12 & 2.40603738448166e-12 \tabularnewline
97 & 0.999999999995806 & 8.38785943886559e-12 & 4.1939297194328e-12 \tabularnewline
98 & 0.999999999996525 & 6.94970832386135e-12 & 3.47485416193067e-12 \tabularnewline
99 & 0.99999999999461 & 1.07803806560385e-11 & 5.39019032801923e-12 \tabularnewline
100 & 0.999999999991711 & 1.65784205436591e-11 & 8.28921027182956e-12 \tabularnewline
101 & 0.999999999987339 & 2.53225978330631e-11 & 1.26612989165316e-11 \tabularnewline
102 & 0.999999999984979 & 3.00424620072117e-11 & 1.50212310036059e-11 \tabularnewline
103 & 0.999999999981418 & 3.71635473961527e-11 & 1.85817736980764e-11 \tabularnewline
104 & 0.999999999968474 & 6.30515916124277e-11 & 3.15257958062139e-11 \tabularnewline
105 & 0.999999999943073 & 1.13853934695611e-10 & 5.69269673478057e-11 \tabularnewline
106 & 0.99999999992373 & 1.52538636054041e-10 & 7.62693180270207e-11 \tabularnewline
107 & 0.999999999943384 & 1.13231794268113e-10 & 5.66158971340567e-11 \tabularnewline
108 & 0.99999999997451 & 5.0978425064738e-11 & 2.5489212532369e-11 \tabularnewline
109 & 0.999999999956348 & 8.73046327407937e-11 & 4.36523163703969e-11 \tabularnewline
110 & 0.999999999926104 & 1.47792046882584e-10 & 7.3896023441292e-11 \tabularnewline
111 & 0.999999999875112 & 2.4977646019063e-10 & 1.24888230095315e-10 \tabularnewline
112 & 0.999999999923154 & 1.53691758082736e-10 & 7.6845879041368e-11 \tabularnewline
113 & 0.999999999873296 & 2.53406978099561e-10 & 1.26703489049781e-10 \tabularnewline
114 & 0.99999999980998 & 3.80040404737034e-10 & 1.90020202368517e-10 \tabularnewline
115 & 0.999999999785125 & 4.29749795411135e-10 & 2.14874897705567e-10 \tabularnewline
116 & 0.99999999988526 & 2.29481014386404e-10 & 1.14740507193202e-10 \tabularnewline
117 & 0.999999999832525 & 3.34950407161588e-10 & 1.67475203580794e-10 \tabularnewline
118 & 0.999999999830796 & 3.38407222496988e-10 & 1.69203611248494e-10 \tabularnewline
119 & 0.999999999704437 & 5.91125626329169e-10 & 2.95562813164584e-10 \tabularnewline
120 & 0.999999999631318 & 7.37363397877925e-10 & 3.68681698938963e-10 \tabularnewline
121 & 0.999999999581436 & 8.37128881993285e-10 & 4.18564440996642e-10 \tabularnewline
122 & 0.99999999930973 & 1.3805403409939e-09 & 6.90270170496948e-10 \tabularnewline
123 & 0.999999999004286 & 1.99142710271015e-09 & 9.95713551355074e-10 \tabularnewline
124 & 0.999999998573788 & 2.85242381559748e-09 & 1.42621190779874e-09 \tabularnewline
125 & 0.999999997591123 & 4.81775299070026e-09 & 2.40887649535013e-09 \tabularnewline
126 & 0.9999999960848 & 7.8303994318157e-09 & 3.91519971590785e-09 \tabularnewline
127 & 0.9999999936916 & 1.26167989057512e-08 & 6.30839945287559e-09 \tabularnewline
128 & 0.999999996249724 & 7.50055251823844e-09 & 3.75027625911922e-09 \tabularnewline
129 & 0.999999995112129 & 9.77574191050576e-09 & 4.88787095525288e-09 \tabularnewline
130 & 0.999999991892736 & 1.62145280140043e-08 & 8.10726400700213e-09 \tabularnewline
131 & 0.99999998699809 & 2.60038214866635e-08 & 1.30019107433317e-08 \tabularnewline
132 & 0.999999979876621 & 4.02467573602851e-08 & 2.01233786801426e-08 \tabularnewline
133 & 0.99999997256157 & 5.48768574042616e-08 & 2.74384287021308e-08 \tabularnewline
134 & 0.999999990549236 & 1.89015269797705e-08 & 9.45076348988525e-09 \tabularnewline
135 & 0.999999996020269 & 7.95946197810208e-09 & 3.97973098905104e-09 \tabularnewline
136 & 0.999999997107307 & 5.78538566775428e-09 & 2.89269283387714e-09 \tabularnewline
137 & 0.999999995180605 & 9.6387905018661e-09 & 4.81939525093305e-09 \tabularnewline
138 & 0.999999993774715 & 1.24505696987903e-08 & 6.22528484939516e-09 \tabularnewline
139 & 0.99999999061553 & 1.87689404183907e-08 & 9.38447020919536e-09 \tabularnewline
140 & 0.999999989206542 & 2.15869164869415e-08 & 1.07934582434707e-08 \tabularnewline
141 & 0.999999982586703 & 3.48265946834275e-08 & 1.74132973417138e-08 \tabularnewline
142 & 0.99999998724444 & 2.55111218096486e-08 & 1.27555609048243e-08 \tabularnewline
143 & 0.99999998136875 & 3.7262499061719e-08 & 1.86312495308595e-08 \tabularnewline
144 & 0.999999971957828 & 5.60843448216643e-08 & 2.80421724108322e-08 \tabularnewline
145 & 0.999999957086393 & 8.58272149123168e-08 & 4.29136074561584e-08 \tabularnewline
146 & 0.99999997754836 & 4.49032805001546e-08 & 2.24516402500773e-08 \tabularnewline
147 & 0.999999971636991 & 5.67260175198395e-08 & 2.83630087599198e-08 \tabularnewline
148 & 0.99999995400814 & 9.19837195186268e-08 & 4.59918597593134e-08 \tabularnewline
149 & 0.99999997899454 & 4.20109183947475e-08 & 2.10054591973738e-08 \tabularnewline
150 & 0.999999965543731 & 6.89125370792905e-08 & 3.44562685396453e-08 \tabularnewline
151 & 0.999999947157871 & 1.05684257607325e-07 & 5.28421288036626e-08 \tabularnewline
152 & 0.999999923261632 & 1.5347673599724e-07 & 7.67383679986199e-08 \tabularnewline
153 & 0.999999907622582 & 1.84754836695086e-07 & 9.23774183475429e-08 \tabularnewline
154 & 0.999999980512652 & 3.89746963181884e-08 & 1.94873481590942e-08 \tabularnewline
155 & 0.999999990285422 & 1.94291562110897e-08 & 9.71457810554487e-09 \tabularnewline
156 & 0.999999988731916 & 2.25361670512024e-08 & 1.12680835256012e-08 \tabularnewline
157 & 0.999999990463688 & 1.90726234102551e-08 & 9.53631170512755e-09 \tabularnewline
158 & 0.999999991098881 & 1.78022370271536e-08 & 8.90111851357681e-09 \tabularnewline
159 & 0.999999986406888 & 2.71862236384705e-08 & 1.35931118192352e-08 \tabularnewline
160 & 0.999999999805762 & 3.88476175692462e-10 & 1.94238087846231e-10 \tabularnewline
161 & 0.999999999793566 & 4.12866992202528e-10 & 2.06433496101264e-10 \tabularnewline
162 & 0.9999999997909 & 4.18198652368252e-10 & 2.09099326184126e-10 \tabularnewline
163 & 0.999999999693228 & 6.13544203908139e-10 & 3.06772101954069e-10 \tabularnewline
164 & 0.999999999887136 & 2.25728879562656e-10 & 1.12864439781328e-10 \tabularnewline
165 & 0.99999999985756 & 2.84880620915076e-10 & 1.42440310457538e-10 \tabularnewline
166 & 0.999999999771997 & 4.56005226384837e-10 & 2.28002613192419e-10 \tabularnewline
167 & 0.999999999821274 & 3.57451749028478e-10 & 1.78725874514239e-10 \tabularnewline
168 & 0.999999999831744 & 3.36511158066143e-10 & 1.68255579033072e-10 \tabularnewline
169 & 0.999999999695825 & 6.08350430537615e-10 & 3.04175215268808e-10 \tabularnewline
170 & 0.99999999958821 & 8.23579718320632e-10 & 4.11789859160316e-10 \tabularnewline
171 & 0.99999999974077 & 5.184611804227e-10 & 2.5923059021135e-10 \tabularnewline
172 & 0.999999999569803 & 8.60393642987508e-10 & 4.30196821493754e-10 \tabularnewline
173 & 0.99999999981172 & 3.76561451285007e-10 & 1.88280725642503e-10 \tabularnewline
174 & 0.999999999724758 & 5.50483447065755e-10 & 2.75241723532877e-10 \tabularnewline
175 & 0.999999999976428 & 4.7143648371185e-11 & 2.35718241855925e-11 \tabularnewline
176 & 0.999999999958407 & 8.31860440213292e-11 & 4.15930220106646e-11 \tabularnewline
177 & 0.999999999957047 & 8.59068510654653e-11 & 4.29534255327327e-11 \tabularnewline
178 & 0.999999999918718 & 1.62564097794753e-10 & 8.12820488973767e-11 \tabularnewline
179 & 0.99999999991984 & 1.60319526679648e-10 & 8.01597633398242e-11 \tabularnewline
180 & 0.999999999850178 & 2.99644790835737e-10 & 1.49822395417868e-10 \tabularnewline
181 & 0.999999999728598 & 5.42804520812383e-10 & 2.71402260406192e-10 \tabularnewline
182 & 0.999999999524074 & 9.51851551518535e-10 & 4.75925775759268e-10 \tabularnewline
183 & 0.999999999138335 & 1.7233299631746e-09 & 8.61664981587298e-10 \tabularnewline
184 & 0.99999999864893 & 2.70213904013902e-09 & 1.35106952006951e-09 \tabularnewline
185 & 0.999999999606453 & 7.87093800900706e-10 & 3.93546900450353e-10 \tabularnewline
186 & 0.999999999289803 & 1.42039498971725e-09 & 7.10197494858624e-10 \tabularnewline
187 & 0.999999999373147 & 1.25370561234425e-09 & 6.26852806172126e-10 \tabularnewline
188 & 0.999999998853725 & 2.29255026422902e-09 & 1.14627513211451e-09 \tabularnewline
189 & 0.999999999465303 & 1.06939367118313e-09 & 5.34696835591563e-10 \tabularnewline
190 & 0.999999999169988 & 1.66002339310038e-09 & 8.30011696550191e-10 \tabularnewline
191 & 0.999999998496135 & 3.00773080406646e-09 & 1.50386540203323e-09 \tabularnewline
192 & 0.999999997919922 & 4.16015619786242e-09 & 2.08007809893121e-09 \tabularnewline
193 & 0.99999999641225 & 7.17550039134582e-09 & 3.58775019567291e-09 \tabularnewline
194 & 0.99999999479507 & 1.04098619459286e-08 & 5.20493097296429e-09 \tabularnewline
195 & 0.999999990567833 & 1.88643332762461e-08 & 9.43216663812305e-09 \tabularnewline
196 & 0.999999984734633 & 3.05307337131089e-08 & 1.52653668565544e-08 \tabularnewline
197 & 0.999999975046209 & 4.99075825130816e-08 & 2.49537912565408e-08 \tabularnewline
198 & 0.999999956109003 & 8.77819934804206e-08 & 4.38909967402103e-08 \tabularnewline
199 & 0.999999951770494 & 9.64590109802556e-08 & 4.82295054901278e-08 \tabularnewline
200 & 0.999999914869491 & 1.7026101728248e-07 & 8.51305086412398e-08 \tabularnewline
201 & 0.999999865585974 & 2.68828052436955e-07 & 1.34414026218477e-07 \tabularnewline
202 & 0.999999766335152 & 4.67329696153429e-07 & 2.33664848076714e-07 \tabularnewline
203 & 0.99999962817397 & 7.43652061629067e-07 & 3.71826030814534e-07 \tabularnewline
204 & 0.999999428862022 & 1.14227595601889e-06 & 5.71137978009447e-07 \tabularnewline
205 & 0.999999250893456 & 1.49821308824316e-06 & 7.4910654412158e-07 \tabularnewline
206 & 0.999998749250194 & 2.50149961236888e-06 & 1.25074980618444e-06 \tabularnewline
207 & 0.999998779243437 & 2.44151312591735e-06 & 1.22075656295867e-06 \tabularnewline
208 & 0.999998501420246 & 2.99715950837287e-06 & 1.49857975418643e-06 \tabularnewline
209 & 0.99999753112657 & 4.93774686045136e-06 & 2.46887343022568e-06 \tabularnewline
210 & 0.999996628809572 & 6.7423808563353e-06 & 3.37119042816765e-06 \tabularnewline
211 & 0.999994620177255 & 1.07596454894314e-05 & 5.3798227447157e-06 \tabularnewline
212 & 0.999997609540116 & 4.78091976723174e-06 & 2.39045988361587e-06 \tabularnewline
213 & 0.999995902786678 & 8.19442664343926e-06 & 4.09721332171963e-06 \tabularnewline
214 & 0.999996182011422 & 7.63597715585134e-06 & 3.81798857792567e-06 \tabularnewline
215 & 0.999994731523762 & 1.05369524766944e-05 & 5.26847623834719e-06 \tabularnewline
216 & 0.999991164855997 & 1.76702880064782e-05 & 8.83514400323912e-06 \tabularnewline
217 & 0.999988155034846 & 2.36899303088213e-05 & 1.18449651544106e-05 \tabularnewline
218 & 0.99999511651032 & 9.76697935957582e-06 & 4.88348967978791e-06 \tabularnewline
219 & 0.999992884681452 & 1.4230637095989e-05 & 7.1153185479945e-06 \tabularnewline
220 & 0.9999877975043 & 2.44049914002765e-05 & 1.22024957001382e-05 \tabularnewline
221 & 0.99998081089372 & 3.83782125608049e-05 & 1.91891062804024e-05 \tabularnewline
222 & 0.999985607340882 & 2.87853182362549e-05 & 1.43926591181274e-05 \tabularnewline
223 & 0.99998864854449 & 2.27029110204091e-05 & 1.13514555102045e-05 \tabularnewline
224 & 0.99998157369714 & 3.68526057188511e-05 & 1.84263028594255e-05 \tabularnewline
225 & 0.999974812469363 & 5.03750612742747e-05 & 2.51875306371373e-05 \tabularnewline
226 & 0.999958040519627 & 8.39189607452353e-05 & 4.19594803726177e-05 \tabularnewline
227 & 0.999932995884202 & 0.000134008231595509 & 6.70041157977544e-05 \tabularnewline
228 & 0.999910028536569 & 0.000179942926862969 & 8.99714634314847e-05 \tabularnewline
229 & 0.999922110658329 & 0.000155778683342157 & 7.78893416710785e-05 \tabularnewline
230 & 0.999987448291282 & 2.51034174359999e-05 & 1.2551708718e-05 \tabularnewline
231 & 0.999980370414606 & 3.92591707888221e-05 & 1.9629585394411e-05 \tabularnewline
232 & 0.9999887120239 & 2.25759522013679e-05 & 1.12879761006839e-05 \tabularnewline
233 & 0.999985566600296 & 2.88667994085315e-05 & 1.44333997042658e-05 \tabularnewline
234 & 0.999974782793579 & 5.04344128428871e-05 & 2.52172064214435e-05 \tabularnewline
235 & 0.999978270366593 & 4.34592668148963e-05 & 2.17296334074481e-05 \tabularnewline
236 & 0.9999622254281 & 7.55491437980808e-05 & 3.77745718990404e-05 \tabularnewline
237 & 0.99993213730468 & 0.000135725390638732 & 6.78626953193662e-05 \tabularnewline
238 & 0.999892043383163 & 0.000215913233674169 & 0.000107956616837084 \tabularnewline
239 & 0.999813389654817 & 0.000373220690365153 & 0.000186610345182576 \tabularnewline
240 & 0.99973496987776 & 0.00053006024448168 & 0.00026503012224084 \tabularnewline
241 & 0.99959896570019 & 0.000802068599621162 & 0.000401034299810581 \tabularnewline
242 & 0.99989202286845 & 0.000215954263101412 & 0.000107977131550706 \tabularnewline
243 & 0.999802637448661 & 0.000394725102677051 & 0.000197362551338525 \tabularnewline
244 & 0.99970709826095 & 0.000585803478099233 & 0.000292901739049616 \tabularnewline
245 & 0.999497463904606 & 0.00100507219078795 & 0.000502536095393973 \tabularnewline
246 & 0.999420228461716 & 0.00115954307656714 & 0.00057977153828357 \tabularnewline
247 & 0.999896959674117 & 0.000206080651765415 & 0.000103040325882708 \tabularnewline
248 & 0.999827080280942 & 0.000345839438116031 & 0.000172919719058015 \tabularnewline
249 & 0.99969450926473 & 0.000610981470541247 & 0.000305490735270624 \tabularnewline
250 & 0.999458596577967 & 0.00108280684406703 & 0.000541403422033514 \tabularnewline
251 & 0.999121128114105 & 0.00175774377179089 & 0.000878871885895446 \tabularnewline
252 & 0.99847530050624 & 0.00304939898752174 & 0.00152469949376087 \tabularnewline
253 & 0.997408564652497 & 0.00518287069500597 & 0.00259143534750298 \tabularnewline
254 & 0.99555283153524 & 0.00889433692951954 & 0.00444716846475977 \tabularnewline
255 & 0.992833617177412 & 0.0143327656451759 & 0.00716638282258797 \tabularnewline
256 & 0.988592431341157 & 0.0228151373176855 & 0.0114075686588427 \tabularnewline
257 & 0.981004941840255 & 0.0379901163194899 & 0.018995058159745 \tabularnewline
258 & 0.971713897585273 & 0.056572204829454 & 0.028286102414727 \tabularnewline
259 & 0.95507293791888 & 0.0898541241622388 & 0.0449270620811194 \tabularnewline
260 & 0.932177347261004 & 0.135645305477991 & 0.0678226527389955 \tabularnewline
261 & 0.949642559152294 & 0.100714881695412 & 0.0503574408477061 \tabularnewline
262 & 0.931733262500234 & 0.136533474999532 & 0.0682667374997658 \tabularnewline
263 & 0.918241572947821 & 0.163516854104358 & 0.0817584270521792 \tabularnewline
264 & 0.873079320626631 & 0.253841358746737 & 0.126920679373369 \tabularnewline
265 & 0.82004117207702 & 0.359917655845958 & 0.179958827922979 \tabularnewline
266 & 0.739267439605968 & 0.521465120788063 & 0.260732560394032 \tabularnewline
267 & 0.659533951050566 & 0.680932097898868 & 0.340466048949434 \tabularnewline
268 & 0.799481025398258 & 0.401037949203484 & 0.200518974601742 \tabularnewline
269 & 0.759429029650143 & 0.481141940699713 & 0.240570970349857 \tabularnewline
270 & 0.915457365982061 & 0.169085268035878 & 0.0845426340179391 \tabularnewline
271 & 0.810846391003403 & 0.378307217993195 & 0.189153608996597 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155773&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]0.467865796408279[/C][C]0.935731592816558[/C][C]0.532134203591721[/C][/ROW]
[ROW][C]19[/C][C]0.440206702152842[/C][C]0.880413404305684[/C][C]0.559793297847158[/C][/ROW]
[ROW][C]20[/C][C]0.843948029244684[/C][C]0.312103941510632[/C][C]0.156051970755316[/C][/ROW]
[ROW][C]21[/C][C]0.763882048969506[/C][C]0.472235902060987[/C][C]0.236117951030494[/C][/ROW]
[ROW][C]22[/C][C]0.773847185837046[/C][C]0.452305628325909[/C][C]0.226152814162954[/C][/ROW]
[ROW][C]23[/C][C]0.711223525288099[/C][C]0.577552949423802[/C][C]0.288776474711901[/C][/ROW]
[ROW][C]24[/C][C]0.620963681541254[/C][C]0.758072636917491[/C][C]0.379036318458746[/C][/ROW]
[ROW][C]25[/C][C]0.641656769321041[/C][C]0.716686461357917[/C][C]0.358343230678959[/C][/ROW]
[ROW][C]26[/C][C]0.574504700658263[/C][C]0.850990598683475[/C][C]0.425495299341737[/C][/ROW]
[ROW][C]27[/C][C]0.594558876065712[/C][C]0.810882247868576[/C][C]0.405441123934288[/C][/ROW]
[ROW][C]28[/C][C]0.532614933200531[/C][C]0.934770133598938[/C][C]0.467385066799469[/C][/ROW]
[ROW][C]29[/C][C]0.498702376142592[/C][C]0.997404752285183[/C][C]0.501297623857408[/C][/ROW]
[ROW][C]30[/C][C]0.421644157714525[/C][C]0.84328831542905[/C][C]0.578355842285475[/C][/ROW]
[ROW][C]31[/C][C]0.470786855913771[/C][C]0.941573711827542[/C][C]0.529213144086229[/C][/ROW]
[ROW][C]32[/C][C]0.414532783097687[/C][C]0.829065566195375[/C][C]0.585467216902313[/C][/ROW]
[ROW][C]33[/C][C]0.387331817897904[/C][C]0.774663635795809[/C][C]0.612668182102096[/C][/ROW]
[ROW][C]34[/C][C]0.393734680849008[/C][C]0.787469361698016[/C][C]0.606265319150992[/C][/ROW]
[ROW][C]35[/C][C]0.344987053158525[/C][C]0.68997410631705[/C][C]0.655012946841475[/C][/ROW]
[ROW][C]36[/C][C]0.287486804250397[/C][C]0.574973608500794[/C][C]0.712513195749603[/C][/ROW]
[ROW][C]37[/C][C]0.247238057362702[/C][C]0.494476114725404[/C][C]0.752761942637298[/C][/ROW]
[ROW][C]38[/C][C]0.202162234419082[/C][C]0.404324468838163[/C][C]0.797837765580918[/C][/ROW]
[ROW][C]39[/C][C]0.214285740220238[/C][C]0.428571480440477[/C][C]0.785714259779762[/C][/ROW]
[ROW][C]40[/C][C]0.180137650395841[/C][C]0.360275300791683[/C][C]0.819862349604159[/C][/ROW]
[ROW][C]41[/C][C]0.145075267620659[/C][C]0.290150535241317[/C][C]0.854924732379341[/C][/ROW]
[ROW][C]42[/C][C]0.130756045345477[/C][C]0.261512090690954[/C][C]0.869243954654523[/C][/ROW]
[ROW][C]43[/C][C]0.18282525478604[/C][C]0.36565050957208[/C][C]0.81717474521396[/C][/ROW]
[ROW][C]44[/C][C]0.146688892573834[/C][C]0.293377785147667[/C][C]0.853311107426166[/C][/ROW]
[ROW][C]45[/C][C]0.138255051669246[/C][C]0.276510103338491[/C][C]0.861744948330754[/C][/ROW]
[ROW][C]46[/C][C]0.151268918024326[/C][C]0.302537836048652[/C][C]0.848731081975674[/C][/ROW]
[ROW][C]47[/C][C]0.233976438898115[/C][C]0.467952877796231[/C][C]0.766023561101885[/C][/ROW]
[ROW][C]48[/C][C]0.223512796494816[/C][C]0.447025592989632[/C][C]0.776487203505184[/C][/ROW]
[ROW][C]49[/C][C]0.20876478239847[/C][C]0.417529564796941[/C][C]0.79123521760153[/C][/ROW]
[ROW][C]50[/C][C]0.196185251530506[/C][C]0.392370503061011[/C][C]0.803814748469494[/C][/ROW]
[ROW][C]51[/C][C]0.355992607518919[/C][C]0.711985215037837[/C][C]0.644007392481081[/C][/ROW]
[ROW][C]52[/C][C]0.316917663087113[/C][C]0.633835326174225[/C][C]0.683082336912887[/C][/ROW]
[ROW][C]53[/C][C]0.333943538393101[/C][C]0.667887076786201[/C][C]0.6660564616069[/C][/ROW]
[ROW][C]54[/C][C]0.737153295544318[/C][C]0.525693408911364[/C][C]0.262846704455682[/C][/ROW]
[ROW][C]55[/C][C]0.713769365933703[/C][C]0.572461268132595[/C][C]0.286230634066297[/C][/ROW]
[ROW][C]56[/C][C]0.677045848172278[/C][C]0.645908303655445[/C][C]0.322954151827722[/C][/ROW]
[ROW][C]57[/C][C]0.646307683835764[/C][C]0.707384632328472[/C][C]0.353692316164236[/C][/ROW]
[ROW][C]58[/C][C]0.890852360205643[/C][C]0.218295279588714[/C][C]0.109147639794357[/C][/ROW]
[ROW][C]59[/C][C]0.86830710224447[/C][C]0.263385795511059[/C][C]0.13169289775553[/C][/ROW]
[ROW][C]60[/C][C]0.857293012806123[/C][C]0.285413974387753[/C][C]0.142706987193877[/C][/ROW]
[ROW][C]61[/C][C]0.882522886794154[/C][C]0.234954226411693[/C][C]0.117477113205846[/C][/ROW]
[ROW][C]62[/C][C]0.95527088497251[/C][C]0.0894582300549804[/C][C]0.0447291150274902[/C][/ROW]
[ROW][C]63[/C][C]0.99999999901297[/C][C]1.97406119616053e-09[/C][C]9.87030598080265e-10[/C][/ROW]
[ROW][C]64[/C][C]0.999999998231498[/C][C]3.53700453373984e-09[/C][C]1.76850226686992e-09[/C][/ROW]
[ROW][C]65[/C][C]0.999999999530925[/C][C]9.38149485885008e-10[/C][C]4.69074742942504e-10[/C][/ROW]
[ROW][C]66[/C][C]0.999999999943352[/C][C]1.13296333110393e-10[/C][C]5.66481665551965e-11[/C][/ROW]
[ROW][C]67[/C][C]0.999999999920684[/C][C]1.5863293507743e-10[/C][C]7.93164675387148e-11[/C][/ROW]
[ROW][C]68[/C][C]0.999999999970312[/C][C]5.93761767831247e-11[/C][C]2.96880883915623e-11[/C][/ROW]
[ROW][C]69[/C][C]0.999999999943763[/C][C]1.12473305014995e-10[/C][C]5.62366525074974e-11[/C][/ROW]
[ROW][C]70[/C][C]0.99999999992436[/C][C]1.51281367542294e-10[/C][C]7.56406837711469e-11[/C][/ROW]
[ROW][C]71[/C][C]0.999999999896565[/C][C]2.06869509074724e-10[/C][C]1.03434754537362e-10[/C][/ROW]
[ROW][C]72[/C][C]0.999999999858003[/C][C]2.83993762620286e-10[/C][C]1.41996881310143e-10[/C][/ROW]
[ROW][C]73[/C][C]0.999999999856417[/C][C]2.87165684183449e-10[/C][C]1.43582842091725e-10[/C][/ROW]
[ROW][C]74[/C][C]0.999999999777546[/C][C]4.44908480542754e-10[/C][C]2.22454240271377e-10[/C][/ROW]
[ROW][C]75[/C][C]0.999999999810544[/C][C]3.7891159263574e-10[/C][C]1.8945579631787e-10[/C][/ROW]
[ROW][C]76[/C][C]0.999999999734974[/C][C]5.30052140420979e-10[/C][C]2.65026070210489e-10[/C][/ROW]
[ROW][C]77[/C][C]0.999999999789674[/C][C]4.20650998884721e-10[/C][C]2.1032549944236e-10[/C][/ROW]
[ROW][C]78[/C][C]0.999999999780501[/C][C]4.38997111094407e-10[/C][C]2.19498555547203e-10[/C][/ROW]
[ROW][C]79[/C][C]0.999999999784685[/C][C]4.30629863051903e-10[/C][C]2.15314931525951e-10[/C][/ROW]
[ROW][C]80[/C][C]0.99999999970608[/C][C]5.87838381438075e-10[/C][C]2.93919190719037e-10[/C][/ROW]
[ROW][C]81[/C][C]0.99999999981328[/C][C]3.73439644966386e-10[/C][C]1.86719822483193e-10[/C][/ROW]
[ROW][C]82[/C][C]0.999999999662502[/C][C]6.74996992354563e-10[/C][C]3.37498496177282e-10[/C][/ROW]
[ROW][C]83[/C][C]0.999999999940745[/C][C]1.18509480109227e-10[/C][C]5.92547400546134e-11[/C][/ROW]
[ROW][C]84[/C][C]0.999999999942647[/C][C]1.14705285815807e-10[/C][C]5.73526429079033e-11[/C][/ROW]
[ROW][C]85[/C][C]0.999999999915422[/C][C]1.69156459951617e-10[/C][C]8.45782299758083e-11[/C][/ROW]
[ROW][C]86[/C][C]0.99999999986102[/C][C]2.77961079800445e-10[/C][C]1.38980539900222e-10[/C][/ROW]
[ROW][C]87[/C][C]0.999999999772824[/C][C]4.54351063689853e-10[/C][C]2.27175531844926e-10[/C][/ROW]
[ROW][C]88[/C][C]0.999999999639766[/C][C]7.2046880928127e-10[/C][C]3.60234404640635e-10[/C][/ROW]
[ROW][C]89[/C][C]0.999999999912078[/C][C]1.75844535934017e-10[/C][C]8.79222679670084e-11[/C][/ROW]
[ROW][C]90[/C][C]0.999999999987874[/C][C]2.42527406144381e-11[/C][C]1.2126370307219e-11[/C][/ROW]
[ROW][C]91[/C][C]0.999999999990075[/C][C]1.98489885191807e-11[/C][C]9.92449425959037e-12[/C][/ROW]
[ROW][C]92[/C][C]0.999999999995297[/C][C]9.40561702112305e-12[/C][C]4.70280851056152e-12[/C][/ROW]
[ROW][C]93[/C][C]0.99999999999693[/C][C]6.14169230361542e-12[/C][C]3.07084615180771e-12[/C][/ROW]
[ROW][C]94[/C][C]0.999999999995063[/C][C]9.8735745644177e-12[/C][C]4.93678728220885e-12[/C][/ROW]
[ROW][C]95[/C][C]0.999999999992112[/C][C]1.57765724313444e-11[/C][C]7.8882862156722e-12[/C][/ROW]
[ROW][C]96[/C][C]0.999999999997594[/C][C]4.81207476896333e-12[/C][C]2.40603738448166e-12[/C][/ROW]
[ROW][C]97[/C][C]0.999999999995806[/C][C]8.38785943886559e-12[/C][C]4.1939297194328e-12[/C][/ROW]
[ROW][C]98[/C][C]0.999999999996525[/C][C]6.94970832386135e-12[/C][C]3.47485416193067e-12[/C][/ROW]
[ROW][C]99[/C][C]0.99999999999461[/C][C]1.07803806560385e-11[/C][C]5.39019032801923e-12[/C][/ROW]
[ROW][C]100[/C][C]0.999999999991711[/C][C]1.65784205436591e-11[/C][C]8.28921027182956e-12[/C][/ROW]
[ROW][C]101[/C][C]0.999999999987339[/C][C]2.53225978330631e-11[/C][C]1.26612989165316e-11[/C][/ROW]
[ROW][C]102[/C][C]0.999999999984979[/C][C]3.00424620072117e-11[/C][C]1.50212310036059e-11[/C][/ROW]
[ROW][C]103[/C][C]0.999999999981418[/C][C]3.71635473961527e-11[/C][C]1.85817736980764e-11[/C][/ROW]
[ROW][C]104[/C][C]0.999999999968474[/C][C]6.30515916124277e-11[/C][C]3.15257958062139e-11[/C][/ROW]
[ROW][C]105[/C][C]0.999999999943073[/C][C]1.13853934695611e-10[/C][C]5.69269673478057e-11[/C][/ROW]
[ROW][C]106[/C][C]0.99999999992373[/C][C]1.52538636054041e-10[/C][C]7.62693180270207e-11[/C][/ROW]
[ROW][C]107[/C][C]0.999999999943384[/C][C]1.13231794268113e-10[/C][C]5.66158971340567e-11[/C][/ROW]
[ROW][C]108[/C][C]0.99999999997451[/C][C]5.0978425064738e-11[/C][C]2.5489212532369e-11[/C][/ROW]
[ROW][C]109[/C][C]0.999999999956348[/C][C]8.73046327407937e-11[/C][C]4.36523163703969e-11[/C][/ROW]
[ROW][C]110[/C][C]0.999999999926104[/C][C]1.47792046882584e-10[/C][C]7.3896023441292e-11[/C][/ROW]
[ROW][C]111[/C][C]0.999999999875112[/C][C]2.4977646019063e-10[/C][C]1.24888230095315e-10[/C][/ROW]
[ROW][C]112[/C][C]0.999999999923154[/C][C]1.53691758082736e-10[/C][C]7.6845879041368e-11[/C][/ROW]
[ROW][C]113[/C][C]0.999999999873296[/C][C]2.53406978099561e-10[/C][C]1.26703489049781e-10[/C][/ROW]
[ROW][C]114[/C][C]0.99999999980998[/C][C]3.80040404737034e-10[/C][C]1.90020202368517e-10[/C][/ROW]
[ROW][C]115[/C][C]0.999999999785125[/C][C]4.29749795411135e-10[/C][C]2.14874897705567e-10[/C][/ROW]
[ROW][C]116[/C][C]0.99999999988526[/C][C]2.29481014386404e-10[/C][C]1.14740507193202e-10[/C][/ROW]
[ROW][C]117[/C][C]0.999999999832525[/C][C]3.34950407161588e-10[/C][C]1.67475203580794e-10[/C][/ROW]
[ROW][C]118[/C][C]0.999999999830796[/C][C]3.38407222496988e-10[/C][C]1.69203611248494e-10[/C][/ROW]
[ROW][C]119[/C][C]0.999999999704437[/C][C]5.91125626329169e-10[/C][C]2.95562813164584e-10[/C][/ROW]
[ROW][C]120[/C][C]0.999999999631318[/C][C]7.37363397877925e-10[/C][C]3.68681698938963e-10[/C][/ROW]
[ROW][C]121[/C][C]0.999999999581436[/C][C]8.37128881993285e-10[/C][C]4.18564440996642e-10[/C][/ROW]
[ROW][C]122[/C][C]0.99999999930973[/C][C]1.3805403409939e-09[/C][C]6.90270170496948e-10[/C][/ROW]
[ROW][C]123[/C][C]0.999999999004286[/C][C]1.99142710271015e-09[/C][C]9.95713551355074e-10[/C][/ROW]
[ROW][C]124[/C][C]0.999999998573788[/C][C]2.85242381559748e-09[/C][C]1.42621190779874e-09[/C][/ROW]
[ROW][C]125[/C][C]0.999999997591123[/C][C]4.81775299070026e-09[/C][C]2.40887649535013e-09[/C][/ROW]
[ROW][C]126[/C][C]0.9999999960848[/C][C]7.8303994318157e-09[/C][C]3.91519971590785e-09[/C][/ROW]
[ROW][C]127[/C][C]0.9999999936916[/C][C]1.26167989057512e-08[/C][C]6.30839945287559e-09[/C][/ROW]
[ROW][C]128[/C][C]0.999999996249724[/C][C]7.50055251823844e-09[/C][C]3.75027625911922e-09[/C][/ROW]
[ROW][C]129[/C][C]0.999999995112129[/C][C]9.77574191050576e-09[/C][C]4.88787095525288e-09[/C][/ROW]
[ROW][C]130[/C][C]0.999999991892736[/C][C]1.62145280140043e-08[/C][C]8.10726400700213e-09[/C][/ROW]
[ROW][C]131[/C][C]0.99999998699809[/C][C]2.60038214866635e-08[/C][C]1.30019107433317e-08[/C][/ROW]
[ROW][C]132[/C][C]0.999999979876621[/C][C]4.02467573602851e-08[/C][C]2.01233786801426e-08[/C][/ROW]
[ROW][C]133[/C][C]0.99999997256157[/C][C]5.48768574042616e-08[/C][C]2.74384287021308e-08[/C][/ROW]
[ROW][C]134[/C][C]0.999999990549236[/C][C]1.89015269797705e-08[/C][C]9.45076348988525e-09[/C][/ROW]
[ROW][C]135[/C][C]0.999999996020269[/C][C]7.95946197810208e-09[/C][C]3.97973098905104e-09[/C][/ROW]
[ROW][C]136[/C][C]0.999999997107307[/C][C]5.78538566775428e-09[/C][C]2.89269283387714e-09[/C][/ROW]
[ROW][C]137[/C][C]0.999999995180605[/C][C]9.6387905018661e-09[/C][C]4.81939525093305e-09[/C][/ROW]
[ROW][C]138[/C][C]0.999999993774715[/C][C]1.24505696987903e-08[/C][C]6.22528484939516e-09[/C][/ROW]
[ROW][C]139[/C][C]0.99999999061553[/C][C]1.87689404183907e-08[/C][C]9.38447020919536e-09[/C][/ROW]
[ROW][C]140[/C][C]0.999999989206542[/C][C]2.15869164869415e-08[/C][C]1.07934582434707e-08[/C][/ROW]
[ROW][C]141[/C][C]0.999999982586703[/C][C]3.48265946834275e-08[/C][C]1.74132973417138e-08[/C][/ROW]
[ROW][C]142[/C][C]0.99999998724444[/C][C]2.55111218096486e-08[/C][C]1.27555609048243e-08[/C][/ROW]
[ROW][C]143[/C][C]0.99999998136875[/C][C]3.7262499061719e-08[/C][C]1.86312495308595e-08[/C][/ROW]
[ROW][C]144[/C][C]0.999999971957828[/C][C]5.60843448216643e-08[/C][C]2.80421724108322e-08[/C][/ROW]
[ROW][C]145[/C][C]0.999999957086393[/C][C]8.58272149123168e-08[/C][C]4.29136074561584e-08[/C][/ROW]
[ROW][C]146[/C][C]0.99999997754836[/C][C]4.49032805001546e-08[/C][C]2.24516402500773e-08[/C][/ROW]
[ROW][C]147[/C][C]0.999999971636991[/C][C]5.67260175198395e-08[/C][C]2.83630087599198e-08[/C][/ROW]
[ROW][C]148[/C][C]0.99999995400814[/C][C]9.19837195186268e-08[/C][C]4.59918597593134e-08[/C][/ROW]
[ROW][C]149[/C][C]0.99999997899454[/C][C]4.20109183947475e-08[/C][C]2.10054591973738e-08[/C][/ROW]
[ROW][C]150[/C][C]0.999999965543731[/C][C]6.89125370792905e-08[/C][C]3.44562685396453e-08[/C][/ROW]
[ROW][C]151[/C][C]0.999999947157871[/C][C]1.05684257607325e-07[/C][C]5.28421288036626e-08[/C][/ROW]
[ROW][C]152[/C][C]0.999999923261632[/C][C]1.5347673599724e-07[/C][C]7.67383679986199e-08[/C][/ROW]
[ROW][C]153[/C][C]0.999999907622582[/C][C]1.84754836695086e-07[/C][C]9.23774183475429e-08[/C][/ROW]
[ROW][C]154[/C][C]0.999999980512652[/C][C]3.89746963181884e-08[/C][C]1.94873481590942e-08[/C][/ROW]
[ROW][C]155[/C][C]0.999999990285422[/C][C]1.94291562110897e-08[/C][C]9.71457810554487e-09[/C][/ROW]
[ROW][C]156[/C][C]0.999999988731916[/C][C]2.25361670512024e-08[/C][C]1.12680835256012e-08[/C][/ROW]
[ROW][C]157[/C][C]0.999999990463688[/C][C]1.90726234102551e-08[/C][C]9.53631170512755e-09[/C][/ROW]
[ROW][C]158[/C][C]0.999999991098881[/C][C]1.78022370271536e-08[/C][C]8.90111851357681e-09[/C][/ROW]
[ROW][C]159[/C][C]0.999999986406888[/C][C]2.71862236384705e-08[/C][C]1.35931118192352e-08[/C][/ROW]
[ROW][C]160[/C][C]0.999999999805762[/C][C]3.88476175692462e-10[/C][C]1.94238087846231e-10[/C][/ROW]
[ROW][C]161[/C][C]0.999999999793566[/C][C]4.12866992202528e-10[/C][C]2.06433496101264e-10[/C][/ROW]
[ROW][C]162[/C][C]0.9999999997909[/C][C]4.18198652368252e-10[/C][C]2.09099326184126e-10[/C][/ROW]
[ROW][C]163[/C][C]0.999999999693228[/C][C]6.13544203908139e-10[/C][C]3.06772101954069e-10[/C][/ROW]
[ROW][C]164[/C][C]0.999999999887136[/C][C]2.25728879562656e-10[/C][C]1.12864439781328e-10[/C][/ROW]
[ROW][C]165[/C][C]0.99999999985756[/C][C]2.84880620915076e-10[/C][C]1.42440310457538e-10[/C][/ROW]
[ROW][C]166[/C][C]0.999999999771997[/C][C]4.56005226384837e-10[/C][C]2.28002613192419e-10[/C][/ROW]
[ROW][C]167[/C][C]0.999999999821274[/C][C]3.57451749028478e-10[/C][C]1.78725874514239e-10[/C][/ROW]
[ROW][C]168[/C][C]0.999999999831744[/C][C]3.36511158066143e-10[/C][C]1.68255579033072e-10[/C][/ROW]
[ROW][C]169[/C][C]0.999999999695825[/C][C]6.08350430537615e-10[/C][C]3.04175215268808e-10[/C][/ROW]
[ROW][C]170[/C][C]0.99999999958821[/C][C]8.23579718320632e-10[/C][C]4.11789859160316e-10[/C][/ROW]
[ROW][C]171[/C][C]0.99999999974077[/C][C]5.184611804227e-10[/C][C]2.5923059021135e-10[/C][/ROW]
[ROW][C]172[/C][C]0.999999999569803[/C][C]8.60393642987508e-10[/C][C]4.30196821493754e-10[/C][/ROW]
[ROW][C]173[/C][C]0.99999999981172[/C][C]3.76561451285007e-10[/C][C]1.88280725642503e-10[/C][/ROW]
[ROW][C]174[/C][C]0.999999999724758[/C][C]5.50483447065755e-10[/C][C]2.75241723532877e-10[/C][/ROW]
[ROW][C]175[/C][C]0.999999999976428[/C][C]4.7143648371185e-11[/C][C]2.35718241855925e-11[/C][/ROW]
[ROW][C]176[/C][C]0.999999999958407[/C][C]8.31860440213292e-11[/C][C]4.15930220106646e-11[/C][/ROW]
[ROW][C]177[/C][C]0.999999999957047[/C][C]8.59068510654653e-11[/C][C]4.29534255327327e-11[/C][/ROW]
[ROW][C]178[/C][C]0.999999999918718[/C][C]1.62564097794753e-10[/C][C]8.12820488973767e-11[/C][/ROW]
[ROW][C]179[/C][C]0.99999999991984[/C][C]1.60319526679648e-10[/C][C]8.01597633398242e-11[/C][/ROW]
[ROW][C]180[/C][C]0.999999999850178[/C][C]2.99644790835737e-10[/C][C]1.49822395417868e-10[/C][/ROW]
[ROW][C]181[/C][C]0.999999999728598[/C][C]5.42804520812383e-10[/C][C]2.71402260406192e-10[/C][/ROW]
[ROW][C]182[/C][C]0.999999999524074[/C][C]9.51851551518535e-10[/C][C]4.75925775759268e-10[/C][/ROW]
[ROW][C]183[/C][C]0.999999999138335[/C][C]1.7233299631746e-09[/C][C]8.61664981587298e-10[/C][/ROW]
[ROW][C]184[/C][C]0.99999999864893[/C][C]2.70213904013902e-09[/C][C]1.35106952006951e-09[/C][/ROW]
[ROW][C]185[/C][C]0.999999999606453[/C][C]7.87093800900706e-10[/C][C]3.93546900450353e-10[/C][/ROW]
[ROW][C]186[/C][C]0.999999999289803[/C][C]1.42039498971725e-09[/C][C]7.10197494858624e-10[/C][/ROW]
[ROW][C]187[/C][C]0.999999999373147[/C][C]1.25370561234425e-09[/C][C]6.26852806172126e-10[/C][/ROW]
[ROW][C]188[/C][C]0.999999998853725[/C][C]2.29255026422902e-09[/C][C]1.14627513211451e-09[/C][/ROW]
[ROW][C]189[/C][C]0.999999999465303[/C][C]1.06939367118313e-09[/C][C]5.34696835591563e-10[/C][/ROW]
[ROW][C]190[/C][C]0.999999999169988[/C][C]1.66002339310038e-09[/C][C]8.30011696550191e-10[/C][/ROW]
[ROW][C]191[/C][C]0.999999998496135[/C][C]3.00773080406646e-09[/C][C]1.50386540203323e-09[/C][/ROW]
[ROW][C]192[/C][C]0.999999997919922[/C][C]4.16015619786242e-09[/C][C]2.08007809893121e-09[/C][/ROW]
[ROW][C]193[/C][C]0.99999999641225[/C][C]7.17550039134582e-09[/C][C]3.58775019567291e-09[/C][/ROW]
[ROW][C]194[/C][C]0.99999999479507[/C][C]1.04098619459286e-08[/C][C]5.20493097296429e-09[/C][/ROW]
[ROW][C]195[/C][C]0.999999990567833[/C][C]1.88643332762461e-08[/C][C]9.43216663812305e-09[/C][/ROW]
[ROW][C]196[/C][C]0.999999984734633[/C][C]3.05307337131089e-08[/C][C]1.52653668565544e-08[/C][/ROW]
[ROW][C]197[/C][C]0.999999975046209[/C][C]4.99075825130816e-08[/C][C]2.49537912565408e-08[/C][/ROW]
[ROW][C]198[/C][C]0.999999956109003[/C][C]8.77819934804206e-08[/C][C]4.38909967402103e-08[/C][/ROW]
[ROW][C]199[/C][C]0.999999951770494[/C][C]9.64590109802556e-08[/C][C]4.82295054901278e-08[/C][/ROW]
[ROW][C]200[/C][C]0.999999914869491[/C][C]1.7026101728248e-07[/C][C]8.51305086412398e-08[/C][/ROW]
[ROW][C]201[/C][C]0.999999865585974[/C][C]2.68828052436955e-07[/C][C]1.34414026218477e-07[/C][/ROW]
[ROW][C]202[/C][C]0.999999766335152[/C][C]4.67329696153429e-07[/C][C]2.33664848076714e-07[/C][/ROW]
[ROW][C]203[/C][C]0.99999962817397[/C][C]7.43652061629067e-07[/C][C]3.71826030814534e-07[/C][/ROW]
[ROW][C]204[/C][C]0.999999428862022[/C][C]1.14227595601889e-06[/C][C]5.71137978009447e-07[/C][/ROW]
[ROW][C]205[/C][C]0.999999250893456[/C][C]1.49821308824316e-06[/C][C]7.4910654412158e-07[/C][/ROW]
[ROW][C]206[/C][C]0.999998749250194[/C][C]2.50149961236888e-06[/C][C]1.25074980618444e-06[/C][/ROW]
[ROW][C]207[/C][C]0.999998779243437[/C][C]2.44151312591735e-06[/C][C]1.22075656295867e-06[/C][/ROW]
[ROW][C]208[/C][C]0.999998501420246[/C][C]2.99715950837287e-06[/C][C]1.49857975418643e-06[/C][/ROW]
[ROW][C]209[/C][C]0.99999753112657[/C][C]4.93774686045136e-06[/C][C]2.46887343022568e-06[/C][/ROW]
[ROW][C]210[/C][C]0.999996628809572[/C][C]6.7423808563353e-06[/C][C]3.37119042816765e-06[/C][/ROW]
[ROW][C]211[/C][C]0.999994620177255[/C][C]1.07596454894314e-05[/C][C]5.3798227447157e-06[/C][/ROW]
[ROW][C]212[/C][C]0.999997609540116[/C][C]4.78091976723174e-06[/C][C]2.39045988361587e-06[/C][/ROW]
[ROW][C]213[/C][C]0.999995902786678[/C][C]8.19442664343926e-06[/C][C]4.09721332171963e-06[/C][/ROW]
[ROW][C]214[/C][C]0.999996182011422[/C][C]7.63597715585134e-06[/C][C]3.81798857792567e-06[/C][/ROW]
[ROW][C]215[/C][C]0.999994731523762[/C][C]1.05369524766944e-05[/C][C]5.26847623834719e-06[/C][/ROW]
[ROW][C]216[/C][C]0.999991164855997[/C][C]1.76702880064782e-05[/C][C]8.83514400323912e-06[/C][/ROW]
[ROW][C]217[/C][C]0.999988155034846[/C][C]2.36899303088213e-05[/C][C]1.18449651544106e-05[/C][/ROW]
[ROW][C]218[/C][C]0.99999511651032[/C][C]9.76697935957582e-06[/C][C]4.88348967978791e-06[/C][/ROW]
[ROW][C]219[/C][C]0.999992884681452[/C][C]1.4230637095989e-05[/C][C]7.1153185479945e-06[/C][/ROW]
[ROW][C]220[/C][C]0.9999877975043[/C][C]2.44049914002765e-05[/C][C]1.22024957001382e-05[/C][/ROW]
[ROW][C]221[/C][C]0.99998081089372[/C][C]3.83782125608049e-05[/C][C]1.91891062804024e-05[/C][/ROW]
[ROW][C]222[/C][C]0.999985607340882[/C][C]2.87853182362549e-05[/C][C]1.43926591181274e-05[/C][/ROW]
[ROW][C]223[/C][C]0.99998864854449[/C][C]2.27029110204091e-05[/C][C]1.13514555102045e-05[/C][/ROW]
[ROW][C]224[/C][C]0.99998157369714[/C][C]3.68526057188511e-05[/C][C]1.84263028594255e-05[/C][/ROW]
[ROW][C]225[/C][C]0.999974812469363[/C][C]5.03750612742747e-05[/C][C]2.51875306371373e-05[/C][/ROW]
[ROW][C]226[/C][C]0.999958040519627[/C][C]8.39189607452353e-05[/C][C]4.19594803726177e-05[/C][/ROW]
[ROW][C]227[/C][C]0.999932995884202[/C][C]0.000134008231595509[/C][C]6.70041157977544e-05[/C][/ROW]
[ROW][C]228[/C][C]0.999910028536569[/C][C]0.000179942926862969[/C][C]8.99714634314847e-05[/C][/ROW]
[ROW][C]229[/C][C]0.999922110658329[/C][C]0.000155778683342157[/C][C]7.78893416710785e-05[/C][/ROW]
[ROW][C]230[/C][C]0.999987448291282[/C][C]2.51034174359999e-05[/C][C]1.2551708718e-05[/C][/ROW]
[ROW][C]231[/C][C]0.999980370414606[/C][C]3.92591707888221e-05[/C][C]1.9629585394411e-05[/C][/ROW]
[ROW][C]232[/C][C]0.9999887120239[/C][C]2.25759522013679e-05[/C][C]1.12879761006839e-05[/C][/ROW]
[ROW][C]233[/C][C]0.999985566600296[/C][C]2.88667994085315e-05[/C][C]1.44333997042658e-05[/C][/ROW]
[ROW][C]234[/C][C]0.999974782793579[/C][C]5.04344128428871e-05[/C][C]2.52172064214435e-05[/C][/ROW]
[ROW][C]235[/C][C]0.999978270366593[/C][C]4.34592668148963e-05[/C][C]2.17296334074481e-05[/C][/ROW]
[ROW][C]236[/C][C]0.9999622254281[/C][C]7.55491437980808e-05[/C][C]3.77745718990404e-05[/C][/ROW]
[ROW][C]237[/C][C]0.99993213730468[/C][C]0.000135725390638732[/C][C]6.78626953193662e-05[/C][/ROW]
[ROW][C]238[/C][C]0.999892043383163[/C][C]0.000215913233674169[/C][C]0.000107956616837084[/C][/ROW]
[ROW][C]239[/C][C]0.999813389654817[/C][C]0.000373220690365153[/C][C]0.000186610345182576[/C][/ROW]
[ROW][C]240[/C][C]0.99973496987776[/C][C]0.00053006024448168[/C][C]0.00026503012224084[/C][/ROW]
[ROW][C]241[/C][C]0.99959896570019[/C][C]0.000802068599621162[/C][C]0.000401034299810581[/C][/ROW]
[ROW][C]242[/C][C]0.99989202286845[/C][C]0.000215954263101412[/C][C]0.000107977131550706[/C][/ROW]
[ROW][C]243[/C][C]0.999802637448661[/C][C]0.000394725102677051[/C][C]0.000197362551338525[/C][/ROW]
[ROW][C]244[/C][C]0.99970709826095[/C][C]0.000585803478099233[/C][C]0.000292901739049616[/C][/ROW]
[ROW][C]245[/C][C]0.999497463904606[/C][C]0.00100507219078795[/C][C]0.000502536095393973[/C][/ROW]
[ROW][C]246[/C][C]0.999420228461716[/C][C]0.00115954307656714[/C][C]0.00057977153828357[/C][/ROW]
[ROW][C]247[/C][C]0.999896959674117[/C][C]0.000206080651765415[/C][C]0.000103040325882708[/C][/ROW]
[ROW][C]248[/C][C]0.999827080280942[/C][C]0.000345839438116031[/C][C]0.000172919719058015[/C][/ROW]
[ROW][C]249[/C][C]0.99969450926473[/C][C]0.000610981470541247[/C][C]0.000305490735270624[/C][/ROW]
[ROW][C]250[/C][C]0.999458596577967[/C][C]0.00108280684406703[/C][C]0.000541403422033514[/C][/ROW]
[ROW][C]251[/C][C]0.999121128114105[/C][C]0.00175774377179089[/C][C]0.000878871885895446[/C][/ROW]
[ROW][C]252[/C][C]0.99847530050624[/C][C]0.00304939898752174[/C][C]0.00152469949376087[/C][/ROW]
[ROW][C]253[/C][C]0.997408564652497[/C][C]0.00518287069500597[/C][C]0.00259143534750298[/C][/ROW]
[ROW][C]254[/C][C]0.99555283153524[/C][C]0.00889433692951954[/C][C]0.00444716846475977[/C][/ROW]
[ROW][C]255[/C][C]0.992833617177412[/C][C]0.0143327656451759[/C][C]0.00716638282258797[/C][/ROW]
[ROW][C]256[/C][C]0.988592431341157[/C][C]0.0228151373176855[/C][C]0.0114075686588427[/C][/ROW]
[ROW][C]257[/C][C]0.981004941840255[/C][C]0.0379901163194899[/C][C]0.018995058159745[/C][/ROW]
[ROW][C]258[/C][C]0.971713897585273[/C][C]0.056572204829454[/C][C]0.028286102414727[/C][/ROW]
[ROW][C]259[/C][C]0.95507293791888[/C][C]0.0898541241622388[/C][C]0.0449270620811194[/C][/ROW]
[ROW][C]260[/C][C]0.932177347261004[/C][C]0.135645305477991[/C][C]0.0678226527389955[/C][/ROW]
[ROW][C]261[/C][C]0.949642559152294[/C][C]0.100714881695412[/C][C]0.0503574408477061[/C][/ROW]
[ROW][C]262[/C][C]0.931733262500234[/C][C]0.136533474999532[/C][C]0.0682667374997658[/C][/ROW]
[ROW][C]263[/C][C]0.918241572947821[/C][C]0.163516854104358[/C][C]0.0817584270521792[/C][/ROW]
[ROW][C]264[/C][C]0.873079320626631[/C][C]0.253841358746737[/C][C]0.126920679373369[/C][/ROW]
[ROW][C]265[/C][C]0.82004117207702[/C][C]0.359917655845958[/C][C]0.179958827922979[/C][/ROW]
[ROW][C]266[/C][C]0.739267439605968[/C][C]0.521465120788063[/C][C]0.260732560394032[/C][/ROW]
[ROW][C]267[/C][C]0.659533951050566[/C][C]0.680932097898868[/C][C]0.340466048949434[/C][/ROW]
[ROW][C]268[/C][C]0.799481025398258[/C][C]0.401037949203484[/C][C]0.200518974601742[/C][/ROW]
[ROW][C]269[/C][C]0.759429029650143[/C][C]0.481141940699713[/C][C]0.240570970349857[/C][/ROW]
[ROW][C]270[/C][C]0.915457365982061[/C][C]0.169085268035878[/C][C]0.0845426340179391[/C][/ROW]
[ROW][C]271[/C][C]0.810846391003403[/C][C]0.378307217993195[/C][C]0.189153608996597[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155773&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155773&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
180.4678657964082790.9357315928165580.532134203591721
190.4402067021528420.8804134043056840.559793297847158
200.8439480292446840.3121039415106320.156051970755316
210.7638820489695060.4722359020609870.236117951030494
220.7738471858370460.4523056283259090.226152814162954
230.7112235252880990.5775529494238020.288776474711901
240.6209636815412540.7580726369174910.379036318458746
250.6416567693210410.7166864613579170.358343230678959
260.5745047006582630.8509905986834750.425495299341737
270.5945588760657120.8108822478685760.405441123934288
280.5326149332005310.9347701335989380.467385066799469
290.4987023761425920.9974047522851830.501297623857408
300.4216441577145250.843288315429050.578355842285475
310.4707868559137710.9415737118275420.529213144086229
320.4145327830976870.8290655661953750.585467216902313
330.3873318178979040.7746636357958090.612668182102096
340.3937346808490080.7874693616980160.606265319150992
350.3449870531585250.689974106317050.655012946841475
360.2874868042503970.5749736085007940.712513195749603
370.2472380573627020.4944761147254040.752761942637298
380.2021622344190820.4043244688381630.797837765580918
390.2142857402202380.4285714804404770.785714259779762
400.1801376503958410.3602753007916830.819862349604159
410.1450752676206590.2901505352413170.854924732379341
420.1307560453454770.2615120906909540.869243954654523
430.182825254786040.365650509572080.81717474521396
440.1466888925738340.2933777851476670.853311107426166
450.1382550516692460.2765101033384910.861744948330754
460.1512689180243260.3025378360486520.848731081975674
470.2339764388981150.4679528777962310.766023561101885
480.2235127964948160.4470255929896320.776487203505184
490.208764782398470.4175295647969410.79123521760153
500.1961852515305060.3923705030610110.803814748469494
510.3559926075189190.7119852150378370.644007392481081
520.3169176630871130.6338353261742250.683082336912887
530.3339435383931010.6678870767862010.6660564616069
540.7371532955443180.5256934089113640.262846704455682
550.7137693659337030.5724612681325950.286230634066297
560.6770458481722780.6459083036554450.322954151827722
570.6463076838357640.7073846323284720.353692316164236
580.8908523602056430.2182952795887140.109147639794357
590.868307102244470.2633857955110590.13169289775553
600.8572930128061230.2854139743877530.142706987193877
610.8825228867941540.2349542264116930.117477113205846
620.955270884972510.08945823005498040.0447291150274902
630.999999999012971.97406119616053e-099.87030598080265e-10
640.9999999982314983.53700453373984e-091.76850226686992e-09
650.9999999995309259.38149485885008e-104.69074742942504e-10
660.9999999999433521.13296333110393e-105.66481665551965e-11
670.9999999999206841.5863293507743e-107.93164675387148e-11
680.9999999999703125.93761767831247e-112.96880883915623e-11
690.9999999999437631.12473305014995e-105.62366525074974e-11
700.999999999924361.51281367542294e-107.56406837711469e-11
710.9999999998965652.06869509074724e-101.03434754537362e-10
720.9999999998580032.83993762620286e-101.41996881310143e-10
730.9999999998564172.87165684183449e-101.43582842091725e-10
740.9999999997775464.44908480542754e-102.22454240271377e-10
750.9999999998105443.7891159263574e-101.8945579631787e-10
760.9999999997349745.30052140420979e-102.65026070210489e-10
770.9999999997896744.20650998884721e-102.1032549944236e-10
780.9999999997805014.38997111094407e-102.19498555547203e-10
790.9999999997846854.30629863051903e-102.15314931525951e-10
800.999999999706085.87838381438075e-102.93919190719037e-10
810.999999999813283.73439644966386e-101.86719822483193e-10
820.9999999996625026.74996992354563e-103.37498496177282e-10
830.9999999999407451.18509480109227e-105.92547400546134e-11
840.9999999999426471.14705285815807e-105.73526429079033e-11
850.9999999999154221.69156459951617e-108.45782299758083e-11
860.999999999861022.77961079800445e-101.38980539900222e-10
870.9999999997728244.54351063689853e-102.27175531844926e-10
880.9999999996397667.2046880928127e-103.60234404640635e-10
890.9999999999120781.75844535934017e-108.79222679670084e-11
900.9999999999878742.42527406144381e-111.2126370307219e-11
910.9999999999900751.98489885191807e-119.92449425959037e-12
920.9999999999952979.40561702112305e-124.70280851056152e-12
930.999999999996936.14169230361542e-123.07084615180771e-12
940.9999999999950639.8735745644177e-124.93678728220885e-12
950.9999999999921121.57765724313444e-117.8882862156722e-12
960.9999999999975944.81207476896333e-122.40603738448166e-12
970.9999999999958068.38785943886559e-124.1939297194328e-12
980.9999999999965256.94970832386135e-123.47485416193067e-12
990.999999999994611.07803806560385e-115.39019032801923e-12
1000.9999999999917111.65784205436591e-118.28921027182956e-12
1010.9999999999873392.53225978330631e-111.26612989165316e-11
1020.9999999999849793.00424620072117e-111.50212310036059e-11
1030.9999999999814183.71635473961527e-111.85817736980764e-11
1040.9999999999684746.30515916124277e-113.15257958062139e-11
1050.9999999999430731.13853934695611e-105.69269673478057e-11
1060.999999999923731.52538636054041e-107.62693180270207e-11
1070.9999999999433841.13231794268113e-105.66158971340567e-11
1080.999999999974515.0978425064738e-112.5489212532369e-11
1090.9999999999563488.73046327407937e-114.36523163703969e-11
1100.9999999999261041.47792046882584e-107.3896023441292e-11
1110.9999999998751122.4977646019063e-101.24888230095315e-10
1120.9999999999231541.53691758082736e-107.6845879041368e-11
1130.9999999998732962.53406978099561e-101.26703489049781e-10
1140.999999999809983.80040404737034e-101.90020202368517e-10
1150.9999999997851254.29749795411135e-102.14874897705567e-10
1160.999999999885262.29481014386404e-101.14740507193202e-10
1170.9999999998325253.34950407161588e-101.67475203580794e-10
1180.9999999998307963.38407222496988e-101.69203611248494e-10
1190.9999999997044375.91125626329169e-102.95562813164584e-10
1200.9999999996313187.37363397877925e-103.68681698938963e-10
1210.9999999995814368.37128881993285e-104.18564440996642e-10
1220.999999999309731.3805403409939e-096.90270170496948e-10
1230.9999999990042861.99142710271015e-099.95713551355074e-10
1240.9999999985737882.85242381559748e-091.42621190779874e-09
1250.9999999975911234.81775299070026e-092.40887649535013e-09
1260.99999999608487.8303994318157e-093.91519971590785e-09
1270.99999999369161.26167989057512e-086.30839945287559e-09
1280.9999999962497247.50055251823844e-093.75027625911922e-09
1290.9999999951121299.77574191050576e-094.88787095525288e-09
1300.9999999918927361.62145280140043e-088.10726400700213e-09
1310.999999986998092.60038214866635e-081.30019107433317e-08
1320.9999999798766214.02467573602851e-082.01233786801426e-08
1330.999999972561575.48768574042616e-082.74384287021308e-08
1340.9999999905492361.89015269797705e-089.45076348988525e-09
1350.9999999960202697.95946197810208e-093.97973098905104e-09
1360.9999999971073075.78538566775428e-092.89269283387714e-09
1370.9999999951806059.6387905018661e-094.81939525093305e-09
1380.9999999937747151.24505696987903e-086.22528484939516e-09
1390.999999990615531.87689404183907e-089.38447020919536e-09
1400.9999999892065422.15869164869415e-081.07934582434707e-08
1410.9999999825867033.48265946834275e-081.74132973417138e-08
1420.999999987244442.55111218096486e-081.27555609048243e-08
1430.999999981368753.7262499061719e-081.86312495308595e-08
1440.9999999719578285.60843448216643e-082.80421724108322e-08
1450.9999999570863938.58272149123168e-084.29136074561584e-08
1460.999999977548364.49032805001546e-082.24516402500773e-08
1470.9999999716369915.67260175198395e-082.83630087599198e-08
1480.999999954008149.19837195186268e-084.59918597593134e-08
1490.999999978994544.20109183947475e-082.10054591973738e-08
1500.9999999655437316.89125370792905e-083.44562685396453e-08
1510.9999999471578711.05684257607325e-075.28421288036626e-08
1520.9999999232616321.5347673599724e-077.67383679986199e-08
1530.9999999076225821.84754836695086e-079.23774183475429e-08
1540.9999999805126523.89746963181884e-081.94873481590942e-08
1550.9999999902854221.94291562110897e-089.71457810554487e-09
1560.9999999887319162.25361670512024e-081.12680835256012e-08
1570.9999999904636881.90726234102551e-089.53631170512755e-09
1580.9999999910988811.78022370271536e-088.90111851357681e-09
1590.9999999864068882.71862236384705e-081.35931118192352e-08
1600.9999999998057623.88476175692462e-101.94238087846231e-10
1610.9999999997935664.12866992202528e-102.06433496101264e-10
1620.99999999979094.18198652368252e-102.09099326184126e-10
1630.9999999996932286.13544203908139e-103.06772101954069e-10
1640.9999999998871362.25728879562656e-101.12864439781328e-10
1650.999999999857562.84880620915076e-101.42440310457538e-10
1660.9999999997719974.56005226384837e-102.28002613192419e-10
1670.9999999998212743.57451749028478e-101.78725874514239e-10
1680.9999999998317443.36511158066143e-101.68255579033072e-10
1690.9999999996958256.08350430537615e-103.04175215268808e-10
1700.999999999588218.23579718320632e-104.11789859160316e-10
1710.999999999740775.184611804227e-102.5923059021135e-10
1720.9999999995698038.60393642987508e-104.30196821493754e-10
1730.999999999811723.76561451285007e-101.88280725642503e-10
1740.9999999997247585.50483447065755e-102.75241723532877e-10
1750.9999999999764284.7143648371185e-112.35718241855925e-11
1760.9999999999584078.31860440213292e-114.15930220106646e-11
1770.9999999999570478.59068510654653e-114.29534255327327e-11
1780.9999999999187181.62564097794753e-108.12820488973767e-11
1790.999999999919841.60319526679648e-108.01597633398242e-11
1800.9999999998501782.99644790835737e-101.49822395417868e-10
1810.9999999997285985.42804520812383e-102.71402260406192e-10
1820.9999999995240749.51851551518535e-104.75925775759268e-10
1830.9999999991383351.7233299631746e-098.61664981587298e-10
1840.999999998648932.70213904013902e-091.35106952006951e-09
1850.9999999996064537.87093800900706e-103.93546900450353e-10
1860.9999999992898031.42039498971725e-097.10197494858624e-10
1870.9999999993731471.25370561234425e-096.26852806172126e-10
1880.9999999988537252.29255026422902e-091.14627513211451e-09
1890.9999999994653031.06939367118313e-095.34696835591563e-10
1900.9999999991699881.66002339310038e-098.30011696550191e-10
1910.9999999984961353.00773080406646e-091.50386540203323e-09
1920.9999999979199224.16015619786242e-092.08007809893121e-09
1930.999999996412257.17550039134582e-093.58775019567291e-09
1940.999999994795071.04098619459286e-085.20493097296429e-09
1950.9999999905678331.88643332762461e-089.43216663812305e-09
1960.9999999847346333.05307337131089e-081.52653668565544e-08
1970.9999999750462094.99075825130816e-082.49537912565408e-08
1980.9999999561090038.77819934804206e-084.38909967402103e-08
1990.9999999517704949.64590109802556e-084.82295054901278e-08
2000.9999999148694911.7026101728248e-078.51305086412398e-08
2010.9999998655859742.68828052436955e-071.34414026218477e-07
2020.9999997663351524.67329696153429e-072.33664848076714e-07
2030.999999628173977.43652061629067e-073.71826030814534e-07
2040.9999994288620221.14227595601889e-065.71137978009447e-07
2050.9999992508934561.49821308824316e-067.4910654412158e-07
2060.9999987492501942.50149961236888e-061.25074980618444e-06
2070.9999987792434372.44151312591735e-061.22075656295867e-06
2080.9999985014202462.99715950837287e-061.49857975418643e-06
2090.999997531126574.93774686045136e-062.46887343022568e-06
2100.9999966288095726.7423808563353e-063.37119042816765e-06
2110.9999946201772551.07596454894314e-055.3798227447157e-06
2120.9999976095401164.78091976723174e-062.39045988361587e-06
2130.9999959027866788.19442664343926e-064.09721332171963e-06
2140.9999961820114227.63597715585134e-063.81798857792567e-06
2150.9999947315237621.05369524766944e-055.26847623834719e-06
2160.9999911648559971.76702880064782e-058.83514400323912e-06
2170.9999881550348462.36899303088213e-051.18449651544106e-05
2180.999995116510329.76697935957582e-064.88348967978791e-06
2190.9999928846814521.4230637095989e-057.1153185479945e-06
2200.99998779750432.44049914002765e-051.22024957001382e-05
2210.999980810893723.83782125608049e-051.91891062804024e-05
2220.9999856073408822.87853182362549e-051.43926591181274e-05
2230.999988648544492.27029110204091e-051.13514555102045e-05
2240.999981573697143.68526057188511e-051.84263028594255e-05
2250.9999748124693635.03750612742747e-052.51875306371373e-05
2260.9999580405196278.39189607452353e-054.19594803726177e-05
2270.9999329958842020.0001340082315955096.70041157977544e-05
2280.9999100285365690.0001799429268629698.99714634314847e-05
2290.9999221106583290.0001557786833421577.78893416710785e-05
2300.9999874482912822.51034174359999e-051.2551708718e-05
2310.9999803704146063.92591707888221e-051.9629585394411e-05
2320.99998871202392.25759522013679e-051.12879761006839e-05
2330.9999855666002962.88667994085315e-051.44333997042658e-05
2340.9999747827935795.04344128428871e-052.52172064214435e-05
2350.9999782703665934.34592668148963e-052.17296334074481e-05
2360.99996222542817.55491437980808e-053.77745718990404e-05
2370.999932137304680.0001357253906387326.78626953193662e-05
2380.9998920433831630.0002159132336741690.000107956616837084
2390.9998133896548170.0003732206903651530.000186610345182576
2400.999734969877760.000530060244481680.00026503012224084
2410.999598965700190.0008020685996211620.000401034299810581
2420.999892022868450.0002159542631014120.000107977131550706
2430.9998026374486610.0003947251026770510.000197362551338525
2440.999707098260950.0005858034780992330.000292901739049616
2450.9994974639046060.001005072190787950.000502536095393973
2460.9994202284617160.001159543076567140.00057977153828357
2470.9998969596741170.0002060806517654150.000103040325882708
2480.9998270802809420.0003458394381160310.000172919719058015
2490.999694509264730.0006109814705412470.000305490735270624
2500.9994585965779670.001082806844067030.000541403422033514
2510.9991211281141050.001757743771790890.000878871885895446
2520.998475300506240.003049398987521740.00152469949376087
2530.9974085646524970.005182870695005970.00259143534750298
2540.995552831535240.008894336929519540.00444716846475977
2550.9928336171774120.01433276564517590.00716638282258797
2560.9885924313411570.02281513731768550.0114075686588427
2570.9810049418402550.03799011631948990.018995058159745
2580.9717138975852730.0565722048294540.028286102414727
2590.955072937918880.08985412416223880.0449270620811194
2600.9321773472610040.1356453054779910.0678226527389955
2610.9496425591522940.1007148816954120.0503574408477061
2620.9317332625002340.1365334749995320.0682667374997658
2630.9182415729478210.1635168541043580.0817584270521792
2640.8730793206266310.2538413587467370.126920679373369
2650.820041172077020.3599176558459580.179958827922979
2660.7392674396059680.5214651207880630.260732560394032
2670.6595339510505660.6809320978988680.340466048949434
2680.7994810253982580.4010379492034840.200518974601742
2690.7594290296501430.4811419406997130.240570970349857
2700.9154573659820610.1690852680358780.0845426340179391
2710.8108463910034030.3783072179931950.189153608996597







Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1920.755905511811024NOK
5% type I error level1950.76771653543307NOK
10% type I error level1980.779527559055118NOK

\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 & 192 & 0.755905511811024 & NOK \tabularnewline
5% type I error level & 195 & 0.76771653543307 & NOK \tabularnewline
10% type I error level & 198 & 0.779527559055118 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155773&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]192[/C][C]0.755905511811024[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]195[/C][C]0.76771653543307[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]198[/C][C]0.779527559055118[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155773&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155773&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 level1920.755905511811024NOK
5% type I error level1950.76771653543307NOK
10% type I error level1980.779527559055118NOK



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