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 computationTue, 20 Nov 2012 11:11:33 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Nov/20/t1353428197dw6hjogiia92irx.htm/, Retrieved Mon, 29 Apr 2024 20:18:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=191153, Retrieved Mon, 29 Apr 2024 20:18:16 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact84
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [time in RFC] [2012-11-19 10:03:42] [57fcaae991493f873bcb4ee93ca06ef0]
- R PD    [Multiple Regression] [months] [2012-11-20 16:11:33] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-   P       [Multiple Regression] [months] [2012-11-20 16:35:26] [57fcaae991493f873bcb4ee93ca06ef0]
- RMPD      [Bivariate Kernel Density Estimation] [Biavriate kernel ...] [2012-11-20 16:53:51] [57fcaae991493f873bcb4ee93ca06ef0]
- RMPD      [Pearson Correlation] [Pearson correlation] [2012-11-20 17:05:59] [57fcaae991493f873bcb4ee93ca06ef0]
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Dataseries X:
9	1418	210907	56	396	81	3	79	30	115	94	112285	24188	146283	144	145
9	869	120982	56	297	55	4	58	28	109	103	84786	18273	98364	103	101
9	1530	176508	54	559	50	12	60	38	146	93	83123	14130	86146	98	98
9	2172	179321	89	967	125	2	108	30	116	103	101193	32287	96933	135	132
9	901	123185	40	270	40	1	49	22	68	51	38361	8654	79234	61	60
9	463	52746	25	143	37	3	0	26	101	70	68504	9245	42551	39	38
9	3201	385534	92	1562	63	0	121	25	96	91	119182	33251	195663	150	144
9	371	33170	18	109	44	0	1	18	67	22	22807	1271	6853	5	5
9	1192	101645	63	371	88	0	20	11	44	38	17140	5279	21529	28	28
9	1583	149061	44	656	66	5	43	26	100	93	116174	27101	95757	84	84
9	1439	165446	33	511	57	0	69	25	93	60	57635	16373	85584	80	79
9	1764	237213	84	655	74	0	78	38	140	123	66198	19716	143983	130	127
9	1495	173326	88	465	49	7	86	44	166	148	71701	17753	75851	82	78
9	1373	133131	55	525	52	7	44	30	99	90	57793	9028	59238	60	60
9	2187	258873	60	885	88	3	104	40	139	124	80444	18653	93163	131	131
9	1491	180083	66	497	36	9	63	34	130	70	53855	8828	96037	84	84
9	4041	324799	154	1436	108	0	158	47	181	168	97668	29498	151511	140	133
9	1706	230964	53	612	43	4	102	30	116	115	133824	27563	136368	151	150
9	2152	236785	119	865	75	3	77	31	116	71	101481	18293	112642	91	91
9	1036	135473	41	385	32	0	82	23	88	66	99645	22530	94728	138	132
9	1882	202925	61	567	44	7	115	36	139	134	114789	15977	105499	150	136
9	1929	215147	58	639	85	0	101	36	135	117	99052	35082	121527	124	124
9	2242	344297	75	963	86	1	80	30	108	108	67654	16116	127766	119	118
9	1220	153935	33	398	56	5	50	25	89	84	65553	15849	98958	73	70
9	1289	132943	40	410	50	7	83	39	156	156	97500	16026	77900	110	107
9	2515	174724	92	966	135	0	123	34	129	120	69112	26569	85646	123	119
9	2147	174415	100	801	63	0	73	31	118	114	82753	24785	98579	90	89
9	2352	225548	112	892	81	5	81	31	118	94	85323	17569	130767	116	112
9	1638	223632	73	513	52	0	105	33	125	120	72654	23825	131741	113	108
9	1222	124817	40	469	44	0	47	25	95	81	30727	7869	53907	56	52
9	1812	221698	45	683	113	0	105	33	126	110	77873	14975	178812	115	112
9	1677	210767	60	643	39	3	94	35	135	133	117478	37791	146761	119	116
9	1579	170266	62	535	73	4	44	42	154	122	74007	9605	82036	129	123
9	1731	260561	75	625	48	1	114	43	165	158	90183	27295	163253	127	125
9	807	84853	31	264	33	4	38	30	113	109	61542	2746	27032	27	27
9	2452	294424	77	992	59	2	107	33	127	124	101494	34461	171975	175	162
9	829	101011	34	238	41	0	30	13	52	39	27570	8098	65990	35	32
9	1940	215641	46	818	69	0	71	32	121	92	55813	4787	86572	64	64
9	2662	325107	99	937	64	0	84	36	136	126	79215	24919	159676	96	92
9	186	7176	17	70	1	0	0	0	0	0	1423	603	1929	0	0
9	1499	167542	66	507	59	2	59	28	108	70	55461	16329	85371	84	83
9	865	106408	30	260	32	1	33	14	46	37	31081	12558	58391	41	41
9	1793	96560	76	503	129	0	42	17	54	38	22996	7784	31580	47	47
9	2527	265769	146	927	37	2	96	32	124	120	83122	28522	136815	126	120
9	2747	269651	67	1269	31	10	106	30	115	93	70106	22265	120642	105	105
9	1324	149112	56	537	65	6	56	35	128	95	60578	14459	69107	80	79
9	2702	175824	107	910	107	0	57	20	80	77	39992	14526	50495	70	65
9	1383	152871	58	532	74	5	59	28	97	90	79892	22240	108016	73	70
9	1179	111665	34	345	54	4	39	28	104	80	49810	11802	46341	57	55
9	2099	116408	61	918	76	1	34	39	59	31	71570	7623	78348	40	39
9	4308	362301	119	1635	715	2	76	34	125	110	100708	11912	79336	68	67
9	918	78800	42	330	57	2	20	26	82	66	33032	7935	56968	21	21
9	1831	183167	66	557	66	0	91	39	149	138	82875	18220	93176	127	127
9	3373	277965	89	1178	106	8	115	39	149	133	139077	19199	161632	154	152
9	1713	150629	44	740	54	3	85	33	122	113	71595	19918	87850	116	113
9	1438	168809	66	452	32	0	76	28	118	100	72260	21884	127969	102	99
9	496	24188	24	218	20	0	8	4	12	7	5950	2694	15049	7	7
9	2253	329267	259	764	71	8	79	39	144	140	115762	15808	155135	148	141
9	744	65029	17	255	21	5	21	18	67	61	32551	3597	25109	21	21
9	1161	101097	64	454	70	3	30	14	52	41	31701	5296	45824	35	35
9	2352	218946	41	866	112	1	76	29	108	96	80670	25239	102996	112	109
9	2144	244052	68	574	66	5	101	44	166	164	143558	29801	160604	137	133
9	4691	341570	168	1276	190	1	94	21	80	78	117105	18450	158051	135	123
9	1112	103597	43	379	66	1	27	16	60	49	23789	7132	44547	26	26
9	2694	233328	132	825	165	5	92	28	107	102	120733	34861	162647	230	230
9	1973	256462	105	798	56	0	123	35	127	124	105195	35940	174141	181	166
9	1769	206161	71	663	61	12	75	28	107	99	73107	16688	60622	71	68
9	3148	311473	112	1069	53	8	128	38	146	129	132068	24683	179566	147	147
9	2474	235800	94	921	127	8	105	23	84	62	149193	46230	184301	190	179
9	2084	177939	82	858	63	8	55	36	141	73	46821	10387	75661	64	61
9	1954	207176	70	711	38	8	56	32	123	114	87011	21436	96144	105	101
9	1226	196553	57	503	50	2	41	29	111	99	95260	30546	129847	107	108
9	1389	174184	53	382	52	0	72	25	98	70	55183	19746	117286	94	90
9	1496	143246	103	464	42	5	67	27	105	104	106671	15977	71180	116	114
9	2269	187559	121	717	76	8	75	36	135	116	73511	22583	109377	106	103
9	1833	187681	62	690	67	2	114	28	107	91	92945	17274	85298	143	142
9	1268	119016	52	462	50	5	118	23	85	74	78664	16469	73631	81	79
9	1943	182192	52	657	53	12	77	40	155	138	70054	14251	86767	89	88
9	893	73566	32	385	39	6	22	23	88	67	22618	3007	23824	26	25
9	1762	194979	62	577	50	7	66	40	155	151	74011	16851	93487	84	83
9	1403	167488	45	619	77	2	69	28	104	72	83737	21113	82981	113	113
9	1425	143756	46	479	57	0	105	34	132	120	69094	17401	73815	120	118
9	1857	275541	63	817	73	4	116	33	127	115	93133	23958	94552	110	110
9	1840	243199	75	752	34	3	88	28	108	105	95536	23567	132190	134	129
9	1502	182999	88	430	39	6	73	34	129	104	225920	13065	128754	54	51
9	1441	135649	46	451	46	2	99	30	116	108	62133	15358	66363	96	93
9	1420	152299	53	537	63	0	62	33	122	98	61370	14587	67808	78	76
9	1416	120221	37	519	35	1	53	22	85	69	43836	12770	61724	51	49
9	2970	346485	90	1000	106	0	118	38	147	111	106117	24021	131722	121	118
10	1317	145790	63	637	43	5	30	26	99	99	38692	9648	68580	38	38
10	1644	193339	78	465	47	2	100	35	87	71	84651	20537	106175	145	141
10	870	80953	25	437	31	0	49	8	28	27	56622	7905	55792	59	58
10	1654	122774	45	711	162	0	24	24	90	69	15986	4527	25157	27	27
10	1054	130585	46	299	57	5	67	29	109	107	95364	30495	76669	91	91
10	937	112611	41	248	36	0	46	20	78	73	26706	7117	57283	48	48
10	3004	286468	144	1162	263	1	57	29	111	107	89691	17719	105805	68	63
10	2008	241066	82	714	78	0	75	45	158	93	67267	27056	129484	58	56
10	2547	148446	91	905	63	1	135	37	141	129	126846	33473	72413	150	144
10	1885	204713	71	649	54	1	68	33	122	69	41140	9758	87831	74	73
10	1626	182079	63	512	63	2	124	33	124	118	102860	21115	96971	181	168
10	1468	140344	53	472	77	6	33	25	93	73	51715	7236	71299	65	64
10	2445	220516	62	905	79	1	98	32	124	119	55801	13790	77494	97	97
10	1964	243060	63	786	110	4	58	29	112	104	111813	32902	120336	121	117
10	1381	162765	32	489	56	2	68	28	108	107	120293	25131	93913	99	100
10	1369	182613	39	479	56	3	81	28	99	99	138599	30910	136048	152	149
10	1659	232138	62	617	43	0	131	31	117	90	161647	35947	181248	188	187
10	2888	265318	117	925	111	10	110	52	199	197	115929	29848	146123	138	127
10	1290	85574	34	351	71	0	37	21	78	36	24266	6943	32036	40	37
10	2845	310839	92	1144	62	9	130	24	91	85	162901	42705	186646	254	245
10	1982	225060	93	669	56	7	93	41	158	139	109825	31808	102255	87	87
10	1904	232317	54	707	74	0	118	33	126	106	129838	26675	168237	178	177
10	1391	144966	144	458	60	0	39	32	122	50	37510	8435	64219	51	49
10	602	43287	14	214	43	4	13	19	71	64	43750	7409	19630	49	49
10	1743	155754	61	599	68	4	74	20	75	31	40652	14993	76825	73	73
10	1559	164709	109	572	53	0	81	31	115	63	87771	36867	115338	176	177
10	2014	201940	38	897	87	0	109	31	119	92	85872	33835	109427	94	94
10	2143	235454	73	819	46	0	151	32	124	106	89275	24164	118168	120	117
10	2146	220801	75	720	105	1	51	18	72	63	44418	12607	84845	66	60
10	874	99466	50	273	32	0	28	23	91	69	192565	22609	153197	56	55
10	1590	92661	61	508	133	1	40	17	45	41	35232	5892	29877	39	39
10	1590	133328	55	506	79	0	56	20	78	56	40909	17014	63506	66	64
10	1210	61361	77	451	51	0	27	12	39	25	13294	5394	22445	27	26
10	2072	125930	75	699	207	4	37	17	68	65	32387	9178	47695	65	64
10	1281	100750	72	407	67	0	83	30	119	93	140867	6440	68370	58	58
10	1401	224549	50	465	47	4	54	31	117	114	120662	21916	146304	98	95
10	834	82316	32	245	34	4	27	10	39	38	21233	4011	38233	25	25
10	1105	102010	53	370	66	3	28	13	50	44	44332	5818	42071	26	26
10	1272	101523	42	316	76	0	59	22	88	87	61056	18647	50517	77	76
10	1944	243511	71	603	65	0	133	42	155	110	101338	20556	103950	130	129
10	391	22938	10	154	9	0	12	1	0	0	1168	238	5841	11	11
10	761	41566	35	229	42	5	0	9	36	27	13497	70	2341	2	2
10	1605	152474	65	577	45	0	106	32	123	83	65567	22392	84396	101	101
10	530	61857	25	192	25	4	23	11	32	30	25162	3913	24610	31	28
10	1988	99923	66	617	115	0	44	25	99	80	32334	12237	35753	36	36
10	1386	132487	41	411	97	0	71	36	136	98	40735	8388	55515	120	89
10	2395	317394	86	975	53	1	116	31	117	82	91413	22120	209056	195	193
10	387	21054	16	146	2	0	4	0	0	0	855	338	6622	4	4
10	1742	209641	42	705	52	5	62	24	88	60	97068	11727	115814	89	84
10	620	22648	19	184	44	0	12	13	39	28	44339	3704	11609	24	23
10	449	31414	19	200	22	0	18	8	25	9	14116	3988	13155	39	39
10	800	46698	45	274	35	0	14	13	52	33	10288	3030	18274	14	14
10	1684	131698	65	502	74	0	60	19	75	59	65622	13520	72875	78	78
10	1050	91735	35	382	103	0	7	18	71	49	16563	1421	10112	15	14
10	2699	244749	95	964	144	2	98	33	124	115	76643	20923	142775	106	101
10	1606	184510	49	537	60	7	64	40	151	140	110681	20237	68847	83	82
10	1502	79863	37	438	134	1	29	22	71	49	29011	3219	17659	24	24
10	1204	128423	64	369	89	8	32	38	145	120	92696	3769	20112	37	36
10	1138	97839	38	417	42	2	25	24	87	66	94785	12252	61023	77	75
10	568	38214	34	276	52	0	16	8	27	21	8773	1888	13983	16	16
10	1459	151101	32	514	98	2	48	35	131	124	83209	14497	65176	56	55
10	2158	272458	65	822	99	0	100	43	162	152	93815	28864	132432	132	131
10	1111	172494	52	389	52	0	46	43	165	139	86687	21721	112494	144	131
10	1421	108043	62	466	29	1	45	14	54	38	34553	4821	45109	40	39
10	2833	328107	65	1255	125	3	129	41	159	144	105547	33644	170875	153	144
10	1955	250579	83	694	106	0	130	38	147	120	103487	15923	180759	143	139
10	2922	351067	95	1024	95	3	136	45	170	160	213688	42935	214921	220	211
10	1002	158015	29	400	40	0	59	31	119	114	71220	18864	100226	79	78
10	1060	98866	18	397	140	0	25	13	49	39	23517	4977	32043	50	50
10	956	85439	33	350	43	0	32	28	104	78	56926	7785	54454	39	39
10	2186	229242	247	719	128	4	63	31	120	119	91721	17939	78876	95	90
10	3604	351619	139	1277	142	4	95	40	150	141	115168	23436	170745	169	166
10	1035	84207	29	356	73	11	14	30	112	101	111194	325	6940	12	12
10	1417	120445	118	457	72	0	36	16	59	56	51009	13539	49025	63	57
10	3261	324598	110	1402	128	0	113	37	136	133	135777	34538	122037	134	133
10	1587	131069	67	600	61	4	47	30	107	83	51513	12198	53782	69	69
10	1424	204271	42	480	73	0	92	35	130	116	74163	26924	127748	119	119
10	1701	165543	65	595	148	1	70	32	115	90	51633	12716	86839	119	119
10	1249	141722	94	436	64	0	19	27	107	36	75345	8172	44830	75	65
10	946	116048	64	230	45	0	50	20	75	50	33416	10855	77395	63	61
10	1926	250047	81	651	58	0	41	18	71	61	83305	11932	89324	55	49
10	3352	299775	95	1367	97	9	91	31	120	97	98952	14300	103300	103	101
10	1641	195838	67	564	50	1	111	31	116	98	102372	25515	112283	197	196
10	2035	173260	63	716	37	3	41	21	79	78	37238	2805	10901	16	15
10	2312	254488	83	747	50	10	120	39	150	117	103772	29402	120691	140	136
10	1369	104389	45	467	105	5	135	41	156	148	123969	16440	58106	89	89
10	1577	136084	30	671	69	0	27	13	51	41	27142	11221	57140	40	40
10	2201	199476	70	861	46	2	87	32	118	105	135400	28732	122422	125	123
10	961	92499	32	319	57	0	25	18	71	55	21399	5250	25899	21	21
10	1900	224330	83	612	52	1	131	39	144	132	130115	28608	139296	167	163
10	1254	135781	31	433	98	2	45	14	47	44	24874	8092	52678	32	29
10	1335	74408	67	434	61	4	29	7	28	21	34988	4473	23853	36	35
10	1597	81240	66	503	89	0	58	17	68	50	45549	1572	17306	13	13
10	207	14688	10	85	0	0	4	0	0	0	6023	2065	7953	5	5
10	1645	181633	70	564	48	2	47	30	110	73	64466	14817	89455	96	96
10	2429	271856	103	824	91	1	109	37	147	86	54990	16714	147866	151	151
10	151	7199	5	74	0	0	7	0	0	0	1644	556	4245	6	6
10	474	46660	20	259	7	0	12	5	15	13	6179	2089	21509	13	13
10	141	17547	5	69	3	0	0	1	4	4	3926	2658	7670	3	3
10	1639	133368	36	535	54	1	37	16	64	57	32755	10695	66675	57	56
10	872	95227	34	239	70	0	37	32	111	48	34777	1669	14336	23	23
10	1318	152601	48	438	36	2	46	24	85	46	73224	16267	53608	61	57
10	1018	98146	40	459	37	0	15	17	68	48	27114	7768	30059	21	14
10	1383	79619	43	426	123	3	42	11	40	32	20760	7252	29668	43	43
10	1314	59194	31	288	247	6	7	24	80	68	37636	6387	22097	20	20
10	1335	139942	42	498	46	0	54	22	88	87	65461	18715	96841	82	72
11	1403	118612	46	454	72	2	54	12	48	43	30080	7936	41907	90	87
11	910	72880	33	376	41	0	14	19	76	67	24094	8643	27080	25	21
11	616	65475	18	225	24	2	16	13	51	46	69008	7294	35885	60	56
11	1407	99643	55	555	45	1	33	17	67	46	54968	4570	41247	61	59
11	771	71965	35	252	33	1	32	15	59	56	46090	7185	28313	85	82
11	766	77272	59	208	27	2	21	16	61	48	27507	10058	36845	43	43
11	473	49289	19	130	36	1	15	24	76	44	10672	2342	16548	25	25
11	1376	135131	66	481	87	0	38	15	60	60	34029	8509	36134	41	38
11	1232	108446	60	389	90	1	22	17	68	65	46300	13275	55764	26	25
11	1521	89746	36	565	114	3	28	18	71	55	24760	6816	28910	38	38
11	572	44296	25	173	31	0	10	20	76	38	18779	1930	13339	12	12
11	1059	77648	47	278	45	0	31	16	62	52	21280	8086	25319	29	29
11	1544	181528	54	609	69	0	32	16	61	60	40662	10737	66956	49	47
11	1230	134019	53	422	51	0	32	18	67	54	28987	8033	47487	46	45
11	1206	124064	40	445	34	1	43	22	88	86	22827	7058	52785	41	40
11	1205	92630	40	387	60	4	27	8	30	24	18513	6782	44683	31	30
11	1255	121848	39	339	45	0	37	17	64	52	30594	5401	35619	41	41
11	613	52915	14	181	54	0	20	18	68	49	24006	6521	21920	26	25
11	721	81872	45	245	25	0	32	16	64	61	27913	10856	45608	23	23
11	1109	58981	36	384	38	7	0	23	91	61	42744	2154	7721	14	14
11	740	53515	28	212	52	2	5	22	88	81	12934	6117	20634	16	16
11	1126	60812	44	399	67	0	26	13	52	43	22574	5238	29788	25	26
11	728	56375	30	229	74	7	10	13	49	40	41385	4820	31931	21	21
11	689	65490	22	224	38	3	27	16	62	40	18653	5615	37754	32	27
11	592	80949	17	203	30	0	11	16	61	56	18472	4272	32505	9	9
11	995	76302	31	333	26	0	29	20	76	68	30976	8702	40557	35	33
11	1613	104011	55	384	67	6	25	22	88	79	63339	15340	94238	42	42
11	2048	98104	54	636	132	2	55	17	66	47	25568	8030	44197	68	68
11	705	67989	21	185	42	0	23	18	71	57	33747	9526	43228	32	32
11	301	30989	14	93	35	0	5	17	68	41	4154	1278	4103	6	6
11	1803	135458	81	581	118	3	43	12	48	29	19474	4236	44144	68	67
11	799	73504	35	248	68	0	23	7	25	3	35130	3023	32868	33	33
11	861	63123	43	304	43	1	34	17	68	60	39067	7196	27640	84	77
11	1186	61254	46	344	76	1	36	14	41	30	13310	3394	14063	46	46
11	1451	74914	30	407	64	0	35	23	90	79	65892	6371	28990	30	30
11	628	31774	23	170	48	1	0	17	66	47	4143	1574	4694	0	0
11	1161	81437	38	312	64	0	37	14	54	40	28579	9620	42648	36	36
11	1463	87186	54	507	56	0	28	15	59	48	51776	6978	64329	47	46
11	742	50090	20	224	71	0	16	17	60	36	21152	4911	21928	20	18
11	979	65745	53	340	75	0	26	21	77	42	38084	8645	25836	50	48
11	675	56653	45	168	39	0	38	18	68	49	27717	8987	22779	30	29
11	1241	158399	39	443	42	0	23	18	72	57	32928	5544	40820	30	28
11	676	46455	20	204	39	0	22	17	67	12	11342	3083	27530	34	34
11	1049	73624	24	367	93	0	30	17	64	40	19499	6909	32378	33	33
11	620	38395	31	210	38	0	16	16	63	43	16380	3189	10824	34	34
11	1081	91899	35	335	60	0	18	15	59	33	36874	6745	39613	37	33
11	1688	139526	151	364	71	0	28	21	84	77	48259	16724	60865	83	80
11	736	52164	52	178	52	0	32	16	64	43	16734	4850	19787	32	32
11	617	51567	30	206	27	2	21	14	56	45	28207	7025	20107	30	30
11	812	70551	31	279	59	0	23	15	54	47	30143	6047	36605	43	41
11	1051	84856	29	387	40	1	29	17	67	43	41369	7377	40961	41	41
11	1656	102538	57	490	79	1	50	15	58	45	45833	9078	48231	51	51
11	705	86678	40	238	44	0	12	15	59	50	29156	4605	39725	19	18
11	945	85709	44	343	65	0	21	10	40	35	35944	3238	21455	37	34
11	554	34662	25	232	10	0	18	6	22	7	36278	8100	23430	33	31
11	1597	150580	77	530	124	0	27	22	83	71	45588	9653	62991	41	39
11	982	99611	35	291	81	0	41	21	81	67	45097	8914	49363	54	54
11	222	19349	11	67	15	0	13	1	2	0	3895	786	9604	14	14
11	1212	99373	63	397	92	1	12	18	72	62	28394	6700	24552	25	24
11	1143	86230	44	467	42	0	21	17	61	54	18632	5788	31493	25	24
11	435	30837	19	178	10	0	8	4	15	4	2325	593	3439	8	8
11	532	31706	13	175	24	0	26	10	32	25	25139	4506	19555	26	26
11	882	89806	42	299	64	0	27	16	62	40	27975	6382	21228	20	19
11	608	62088	38	154	45	1	13	16	58	38	14483	5621	23177	11	11
11	459	40151	29	106	22	0	16	9	36	19	13127	3997	22094	14	14
11	578	27634	20	189	56	0	2	16	59	17	5839	520	2342	3	1
11	826	76990	27	194	94	0	42	17	68	67	24069	8891	38798	40	39
11	509	37460	20	135	19	0	5	7	21	14	3738	999	3255	5	5
11	717	54157	19	201	35	0	37	15	55	30	18625	7067	24261	38	37
11	637	49862	37	207	32	0	17	14	54	54	36341	4639	18511	32	32
11	857	84337	26	280	35	0	38	14	55	35	24548	5654	40798	41	38
11	830	64175	42	260	48	0	37	18	72	59	21792	6928	28893	46	47
11	652	59382	49	227	49	0	29	12	41	24	26263	1514	21425	47	47
11	707	119308	30	239	48	0	32	16	61	58	23686	9238	50276	37	37
11	954	76702	49	333	62	0	35	21	67	42	49303	8204	37643	51	51
11	1461	103425	67	428	96	1	17	19	76	46	25659	5926	30377	49	45
11	672	70344	28	230	45	0	20	16	64	61	28904	5785	27126	21	21
11	778	43410	19	292	63	0	7	1	3	3	2781	4	13	1	1
11	1141	104838	49	350	71	1	46	16	63	52	29236	5930	42097	44	42
11	680	62215	27	186	26	0	24	10	40	25	19546	3710	24451	26	26
11	1090	69304	30	326	48	6	40	19	69	40	22818	705	14335	21	21
11	616	53117	22	155	29	3	3	12	48	32	32689	443	5084	4	4
11	285	19764	12	75	19	1	10	2	8	4	5752	2416	9927	10	10
11	1145	86680	31	361	45	2	37	14	52	49	22197	7747	43527	43	43
11	733	84105	20	261	45	0	17	17	66	63	20055	5432	27184	34	34
11	888	77945	20	299	67	0	28	19	76	67	25272	4913	21610	32	31
11	849	89113	39	300	30	0	19	14	43	32	82206	2650	20484	20	19
11	1182	91005	29	450	36	3	29	11	39	23	32073	2370	20156	34	34
11	528	40248	16	183	34	1	8	4	14	7	5444	775	6012	6	6
11	642	64187	27	238	36	0	10	16	61	54	20154	5576	18475	12	11
11	947	50857	21	165	34	0	15	20	71	37	36944	1352	12645	24	24
11	819	56613	19	234	37	1	15	12	44	35	8019	3080	11017	16	16
11	757	62792	35	176	46	0	28	15	60	51	30884	10205	37623	72	72
11	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 time23 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 23 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.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=191153&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]23 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.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=191153&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=191153&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 time23 seconds
R Server'Gertrude Mary Cox' @ cox.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] = -277.746539492331 + 34.6832488366038months[t] + 0.000322414236964143time_in_rfc[t] + 3.24252518505429logins[t] + 1.77251783025714compendium_views_info[t] + 1.49665312176931compendium_views_pr[t] + 7.67447135423653shared_compendiums[t] + 2.38864180940119blogged_computations[t] -2.45791562756514compendiums_reviewed[t] + 0.68631828436802feedback_messages_p1[t] + 0.400282576718856feedback_messages_p120[t] -1.21216178815042e-05totsize[t] -0.00416718638661735totrevisions[t] + 0.000641976355320181totseconds[t] + 3.36679156936434tothyperlinks[t] -3.6270575330294`totblogs\r`[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
pageviews[t] =  -277.746539492331 +  34.6832488366038months[t] +  0.000322414236964143time_in_rfc[t] +  3.24252518505429logins[t] +  1.77251783025714compendium_views_info[t] +  1.49665312176931compendium_views_pr[t] +  7.67447135423653shared_compendiums[t] +  2.38864180940119blogged_computations[t] -2.45791562756514compendiums_reviewed[t] +  0.68631828436802feedback_messages_p1[t] +  0.400282576718856feedback_messages_p120[t] -1.21216178815042e-05totsize[t] -0.00416718638661735totrevisions[t] +  0.000641976355320181totseconds[t] +  3.36679156936434tothyperlinks[t] -3.6270575330294`totblogs\r`[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=191153&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]pageviews[t] =  -277.746539492331 +  34.6832488366038months[t] +  0.000322414236964143time_in_rfc[t] +  3.24252518505429logins[t] +  1.77251783025714compendium_views_info[t] +  1.49665312176931compendium_views_pr[t] +  7.67447135423653shared_compendiums[t] +  2.38864180940119blogged_computations[t] -2.45791562756514compendiums_reviewed[t] +  0.68631828436802feedback_messages_p1[t] +  0.400282576718856feedback_messages_p120[t] -1.21216178815042e-05totsize[t] -0.00416718638661735totrevisions[t] +  0.000641976355320181totseconds[t] +  3.36679156936434tothyperlinks[t] -3.6270575330294`totblogs\r`[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=191153&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=191153&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] = -277.746539492331 + 34.6832488366038months[t] + 0.000322414236964143time_in_rfc[t] + 3.24252518505429logins[t] + 1.77251783025714compendium_views_info[t] + 1.49665312176931compendium_views_pr[t] + 7.67447135423653shared_compendiums[t] + 2.38864180940119blogged_computations[t] -2.45791562756514compendiums_reviewed[t] + 0.68631828436802feedback_messages_p1[t] + 0.400282576718856feedback_messages_p120[t] -1.21216178815042e-05totsize[t] -0.00416718638661735totrevisions[t] + 0.000641976355320181totseconds[t] + 3.36679156936434tothyperlinks[t] -3.6270575330294`totblogs\r`[t] + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-277.746539492331166.67942-1.66640.096790.048395
months34.683248836603815.1696062.28640.0229990.011499
time_in_rfc0.0003224142369641430.0004470.72060.4717660.235883
logins3.242525185054290.4148387.816400
compendium_views_info1.772517830257140.0880420.133200
compendium_views_pr1.496653121769310.2282196.55800
shared_compendiums7.674471354236534.149961.84930.0654970.032749
blogged_computations2.388641809401190.6686223.57250.0004180.000209
compendiums_reviewed-2.457915627565145.202106-0.47250.6369580.318479
feedback_messages_p10.686318284368021.5698640.43720.6623240.331162
feedback_messages_p1200.4002825767188560.7751350.51640.6059910.302995
totsize-1.21216178815042e-050.000482-0.02520.9799520.489976
totrevisions-0.004167186386617350.002376-1.75390.0805650.040282
totseconds0.0006419763553201810.0006570.97750.3291680.164584
tothyperlinks3.366791569364343.2309371.0420.2983110.149156
`totblogs\r`-3.62705753302943.348122-1.08330.2796260.139813

\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) & -277.746539492331 & 166.67942 & -1.6664 & 0.09679 & 0.048395 \tabularnewline
months & 34.6832488366038 & 15.169606 & 2.2864 & 0.022999 & 0.011499 \tabularnewline
time_in_rfc & 0.000322414236964143 & 0.000447 & 0.7206 & 0.471766 & 0.235883 \tabularnewline
logins & 3.24252518505429 & 0.414838 & 7.8164 & 0 & 0 \tabularnewline
compendium_views_info & 1.77251783025714 & 0.08804 & 20.1332 & 0 & 0 \tabularnewline
compendium_views_pr & 1.49665312176931 & 0.228219 & 6.558 & 0 & 0 \tabularnewline
shared_compendiums & 7.67447135423653 & 4.14996 & 1.8493 & 0.065497 & 0.032749 \tabularnewline
blogged_computations & 2.38864180940119 & 0.668622 & 3.5725 & 0.000418 & 0.000209 \tabularnewline
compendiums_reviewed & -2.45791562756514 & 5.202106 & -0.4725 & 0.636958 & 0.318479 \tabularnewline
feedback_messages_p1 & 0.68631828436802 & 1.569864 & 0.4372 & 0.662324 & 0.331162 \tabularnewline
feedback_messages_p120 & 0.400282576718856 & 0.775135 & 0.5164 & 0.605991 & 0.302995 \tabularnewline
totsize & -1.21216178815042e-05 & 0.000482 & -0.0252 & 0.979952 & 0.489976 \tabularnewline
totrevisions & -0.00416718638661735 & 0.002376 & -1.7539 & 0.080565 & 0.040282 \tabularnewline
totseconds & 0.000641976355320181 & 0.000657 & 0.9775 & 0.329168 & 0.164584 \tabularnewline
tothyperlinks & 3.36679156936434 & 3.230937 & 1.042 & 0.298311 & 0.149156 \tabularnewline
`totblogs\r` & -3.6270575330294 & 3.348122 & -1.0833 & 0.279626 & 0.139813 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=191153&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]-277.746539492331[/C][C]166.67942[/C][C]-1.6664[/C][C]0.09679[/C][C]0.048395[/C][/ROW]
[ROW][C]months[/C][C]34.6832488366038[/C][C]15.169606[/C][C]2.2864[/C][C]0.022999[/C][C]0.011499[/C][/ROW]
[ROW][C]time_in_rfc[/C][C]0.000322414236964143[/C][C]0.000447[/C][C]0.7206[/C][C]0.471766[/C][C]0.235883[/C][/ROW]
[ROW][C]logins[/C][C]3.24252518505429[/C][C]0.414838[/C][C]7.8164[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]compendium_views_info[/C][C]1.77251783025714[/C][C]0.08804[/C][C]20.1332[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]compendium_views_pr[/C][C]1.49665312176931[/C][C]0.228219[/C][C]6.558[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]shared_compendiums[/C][C]7.67447135423653[/C][C]4.14996[/C][C]1.8493[/C][C]0.065497[/C][C]0.032749[/C][/ROW]
[ROW][C]blogged_computations[/C][C]2.38864180940119[/C][C]0.668622[/C][C]3.5725[/C][C]0.000418[/C][C]0.000209[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]-2.45791562756514[/C][C]5.202106[/C][C]-0.4725[/C][C]0.636958[/C][C]0.318479[/C][/ROW]
[ROW][C]feedback_messages_p1[/C][C]0.68631828436802[/C][C]1.569864[/C][C]0.4372[/C][C]0.662324[/C][C]0.331162[/C][/ROW]
[ROW][C]feedback_messages_p120[/C][C]0.400282576718856[/C][C]0.775135[/C][C]0.5164[/C][C]0.605991[/C][C]0.302995[/C][/ROW]
[ROW][C]totsize[/C][C]-1.21216178815042e-05[/C][C]0.000482[/C][C]-0.0252[/C][C]0.979952[/C][C]0.489976[/C][/ROW]
[ROW][C]totrevisions[/C][C]-0.00416718638661735[/C][C]0.002376[/C][C]-1.7539[/C][C]0.080565[/C][C]0.040282[/C][/ROW]
[ROW][C]totseconds[/C][C]0.000641976355320181[/C][C]0.000657[/C][C]0.9775[/C][C]0.329168[/C][C]0.164584[/C][/ROW]
[ROW][C]tothyperlinks[/C][C]3.36679156936434[/C][C]3.230937[/C][C]1.042[/C][C]0.298311[/C][C]0.149156[/C][/ROW]
[ROW][C]`totblogs\r`[/C][C]-3.6270575330294[/C][C]3.348122[/C][C]-1.0833[/C][C]0.279626[/C][C]0.139813[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=191153&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=191153&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)-277.746539492331166.67942-1.66640.096790.048395
months34.683248836603815.1696062.28640.0229990.011499
time_in_rfc0.0003224142369641430.0004470.72060.4717660.235883
logins3.242525185054290.4148387.816400
compendium_views_info1.772517830257140.0880420.133200
compendium_views_pr1.496653121769310.2282196.55800
shared_compendiums7.674471354236534.149961.84930.0654970.032749
blogged_computations2.388641809401190.6686223.57250.0004180.000209
compendiums_reviewed-2.457915627565145.202106-0.47250.6369580.318479
feedback_messages_p10.686318284368021.5698640.43720.6623240.331162
feedback_messages_p1200.4002825767188560.7751350.51640.6059910.302995
totsize-1.21216178815042e-050.000482-0.02520.9799520.489976
totrevisions-0.004167186386617350.002376-1.75390.0805650.040282
totseconds0.0006419763553201810.0006570.97750.3291680.164584
tothyperlinks3.366791569364343.2309371.0420.2983110.149156
`totblogs\r`-3.62705753302943.348122-1.08330.2796260.139813







Multiple Linear Regression - Regression Statistics
Multiple R0.977465873310152
R-squared0.955439533485978
Adjusted R-squared0.952991156204987
F-TEST (value)390.233785007002
F-TEST (DF numerator)15
F-TEST (DF denominator)273
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation159.61854645276
Sum Squared Residuals6955515.94147188

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.977465873310152 \tabularnewline
R-squared & 0.955439533485978 \tabularnewline
Adjusted R-squared & 0.952991156204987 \tabularnewline
F-TEST (value) & 390.233785007002 \tabularnewline
F-TEST (DF numerator) & 15 \tabularnewline
F-TEST (DF denominator) & 273 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 159.61854645276 \tabularnewline
Sum Squared Residuals & 6955515.94147188 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=191153&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.977465873310152[/C][/ROW]
[ROW][C]R-squared[/C][C]0.955439533485978[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.952991156204987[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]390.233785007002[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]15[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]273[/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]159.61854645276[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]6955515.94147188[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=191153&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=191153&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 R0.977465873310152
R-squared0.955439533485978
Adjusted R-squared0.952991156204987
F-TEST (value)390.233785007002
F-TEST (DF numerator)15
F-TEST (DF denominator)273
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation159.61854645276
Sum Squared Residuals6955515.94147188







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
114181312.3191973142105.680802685795
28691046.61876077568-177.618760775681
315301581.4256972705-51.4256972704974
421722504.53767447054-332.537674470538
5901882.08343513161218.9165648683877
6463479.211044465802-16.2110444658018
732013618.19438011378-417.194380113776
8371372.980699226029-1.98069922602937
911921111.2349987707880.7650012292169
1015831594.98850958051-11.9885095805053
1114391345.8476780826893.1523219173149
1217641879.75736306938-115.757363069383
1314951564.3631220226-69.3631220226018
1413731437.2092846928-64.2092846927961
1521872277.96908742951-90.9690874295062
1614911496.8686726247-5.86867262469816
1740413760.91108461805280.088915381951
1817061691.4965183590914.5034816409117
1921522352.03823577688-200.038235776885
2010361119.0523596138-83.0523596137957
2118821768.95545337953113.044546620469
2219291742.29449324686186.705506753136
2322422453.32612987461-211.32612987461
2412201159.9442662404760.0557337595269
2512891298.45767225236-9.45767225235579
2625152576.07419594555-61.074195945548
2721472092.9599584206454.0400415793645
2823522440.88844315395-88.8884431539547
2916381606.99259858131.0074014190013
3012221251.32779000898-29.3277900089757
3118121964.14586717974-152.145867179739
3216771717.64662814581-40.64662814581
3315791534.9116182357944.0883817642124
3417311856.20847567996-125.208475679955
35807846.664269965099-39.6642699650992
3624522519.43711906201-67.4371190620132
37829761.49970001010667.5002999898941
3819402035.37930569393-95.379305693931
3926622460.03124878011201.968751219887
40186216.120483923287-30.1204839232871
4114991446.8483058970852.1516941029198
42865747.309832381895117.690167618105
4317931482.74695519802310.253044801978
4425272548.07867893825-21.0786789382491
4527472963.1579233001-216.157923300102
4613241499.02696663474-175.026966634744
4727022355.21160601873346.788393981267
4813831506.14648545299-123.146485452993
4911791003.80571813486175.194281865136
5020992067.4564367633831.5435632366171
5143084734.3858299297-426.385829929704
52918945.787332082533-27.7873320825333
5318311622.37695987296208.623040127044
5433733044.25385558754328.746144412459
5517131845.24879720723-132.248797207229
5614381360.0522030475677.9477969524413
57496553.219795561551-57.2197955615508
5822532769.13718034442-516.13718034442
59744703.87544042868140.1245595713189
6011611294.23515271291-133.235152712906
6123522112.74324177244239.256758227557
6221441756.86594923199387.134050768009
6346913533.638582924111157.36141707589
6411121063.2523590617948.7476409382074
6526942448.30850622293245.691493777073
6619732268.45832082763-295.458320827628
6717691873.94257573054-104.942575730538
6831482870.27156704541277.728432954586
6924742490.23506650929-16.2350665092926
7020842201.99150378557-117.991503785571
7119541850.38468286591103.615317134089
7212261330.25786164463-104.257861644631
7313891205.5409003407183.459099659299
7414961500.50247038627-4.50247038627024
7522692121.51733792935147.482662070646
7618331896.01529473989-63.0152947398878
7712681450.63935732625-182.639357326254
7819431820.87292256413122.127077435868
798931031.30058922523-138.300589225227
8017621646.41851737852115.58148262148
8114031593.15366542344-190.153665423443
8214251420.178232340174.82176765983242
8318572175.89142946369-318.891429463685
8418401989.13319489503-149.133194895025
8515021488.6125617295113.3874382704936
8614411360.2223806573380.7776193426738
8714201460.38807301526-40.3880730152635
8814161311.47116851888104.528831481124
8929702665.44892478439304.551075215612
9013171660.98164716456-343.981647164564
9116441493.5413686615150.458631338496
928701115.10123385501-245.10123385501
9316541835.09161171659-181.091611716591
9410541017.7085308795836.2914691204181
95937869.57345021468667.4265497853144
9630043266.65142830147-262.651428301468
9720081970.9408756468337.0591243531711
9825472386.22427128949160.775728710507
9918851796.4229036526888.5770963473194
10016261669.71402331552-43.7140233155167
10114681396.2331511953971.7668488046119
10224452325.7910222454119.208977754596
10319642047.82328520596-83.8232852059594
10413811326.5186911457454.4813088542571
10513691370.69789594129-1.69789594128952
10616591775.30477035263-116.304770352627
10728882738.82890623697149.171093763025
10812901031.85469916669258.145300833314
10928452911.67672504-66.6767250399983
11019821961.1193887389220.8806112610784
11119041965.23197752556-61.2319775255577
11213911602.2124527982-211.212452798195
113602629.953020481186-27.9530204811859
11417431670.1386074429472.8613925570603
11515591660.17235679754-101.172356797536
11620142183.97888500822-169.97888500822
11721432265.5394588783-122.539458878303
11821461982.6907190692163.309280930795
119874886.347001988828-12.3470019888283
12015901489.03044419682100.969555803178
12115901425.54509685697164.454903143032
12212101274.42080525653-64.4208052565272
12320722030.3450123566941.6549876433113
12412811400.39175071768-119.391750717683
12514011394.102243445066.89775655493858
126834798.19495867146635.8050413285336
12711051133.78039861596-28.7803986159606
12812721031.51373080809240.486269191913
12919441858.4315371546685.5684628453409
130391421.431058413915-30.4310584139151
131761717.03504489607343.9649551039265
13216051645.07234583113-40.0723458311269
133530642.403406290791-112.403406290791
13419881686.88549010825301.114509891746
13513861413.4989943229-27.4989943229014
13623952576.91193118393-181.911931183928
137387400.881168466609-13.8811684666094
13817421831.48167043431-89.4816704343098
139620553.53776606931566.4622339306847
140449553.849889111908-104.849889111908
141800813.830855453008-13.8308554530076
14216841463.9238098487220.076190151303
14310501084.32092966866-34.3209296686648
14426992673.8084210647125.1915789352896
14516061537.6011128056468.3988871943592
14615021274.26050546264227.739494537355
14712041287.33464115338-83.3346411533781
14811381102.2329562878635.7670437121366
149568801.023407124999-233.023407124999
15014591432.3027622138626.6972377861352
15121582210.94436785937-52.9443678593735
15211111224.04181960524-113.041819605245
15314211309.04430701112111.955692988882
15428333155.41725202898-322.41725202898
15519552199.54838244202-244.548382442017
15629222797.39777691341124.602223086587
15710021142.91295672283-140.912956722833
15810601136.08438175528-76.0843817552778
159956990.263624316245-34.2636243162455
16021862613.07081395798-427.070813957976
16136043405.33602677687198.66397322313
16210351090.58956743968-55.5895674396841
16314171497.71046705945-80.7104670594516
16432613434.13501549086-173.135015490864
16515871624.39893880915-37.3989388091531
16614241438.5215209679-14.5215209679044
16717011791.71552694931-90.7155269493065
16812491365.60965978251-116.609659782511
169946925.71661277476420.2833872252361
17019261793.96081220903132.039187790967
17133523359.38431721983-7.3843172198272
17216411656.33876808793-15.3387680879293
17320351802.82878745915232.171212540853
17423122168.2436590359143.756340964096
17513691604.07017881834-235.070178818338
17615771566.0027837963310.9972162036652
17722012154.8232504256446.1767495743609
178961928.65371030047632.3462896995238
17919001889.2210515791210.77894842088
18012541268.19888848456-14.198888484564
18113351271.7864571166963.2135428833138
18215971498.1282123095798.8717876904252
183207261.591463588912-54.591463588912
18416451554.6722907887790.3277092112345
18524292385.1824479194143.8175520805866
186151234.333157271308-83.3331572713076
187474652.056222158781-178.056222158781
188141212.6573447517-71.6573447517002
18916391368.03151968429270.968480315713
190872839.39383405860432.6061659413958
19113181211.52861885301106.471381146992
19210181165.84235742272-147.84235742272
19313831287.319470224295.6805297758043
19413141136.6581014286177.341898571396
19513351370.40034204646-35.4003420464606
19614031349.5708442972353.4291557027733
1979101016.89652177808-106.896521778078
198616683.708097181342-67.7080971813418
19914071472.58974708387-65.5897470838694
200771823.109966588823-52.1099665888226
201766786.563061576784-20.5630615767842
202473514.090091503204-41.0900915032038
20313761450.76598834903-74.7659883490336
20412321225.400178166416.59982183359364
20515211517.899321942383.10067805762443
206572591.424682307827-19.4246823078274
2071059914.152392284709144.847607715291
20815441615.36673338281-71.366733382807
20912301231.27111732907-1.27111732907217
21012061261.41325483626-55.4132548362589
21112051140.58121967964.4187803210022
21212551038.39821911629216.60178088371
213613621.150990190575-8.15099019057495
214721830.930035459015-109.930035459015
21511091052.9162550682456.0837449317641
216740714.88537338156225.1146266184384
21711261143.4979486867-17.4979486867003
218728825.621553653956-97.6215536539555
219689767.308698387614-78.3086983876139
220592641.440515612159-49.4405156121592
221995945.08455915630649.9154408436945
22216131225.14736517867387.852634821325
22320481781.3281117908266.671888209201
224705646.11622054138258.8837794586184
225301405.319150728201-104.319150728201
22618031753.6968681819949.3031318180116
227799837.89377167053-38.8937716705305
228861975.352024087725-114.352024087725
22911861078.31968325025107.680316749752
23014511146.31527668291304.684723317089
231628588.16330725665839.8366927433425
2321161986.669060531104174.330939468896
23314631382.1602775455480.8397224544611
234742735.5033737760336.49662622396655
2359791066.21198992277-87.2119899227655
236675709.566608175572-34.5666081755719
23712411214.4594952533326.5405047466696
238676660.95248129992715.047518700073
23910491068.01005730391-19.0100573039127
240620689.72195749749-69.7219574974898
2411081992.06306168177188.9369383182291
24216881451.64875431234236.351245687663
243736764.740046742881-28.7400467428812
244617686.249178162056-69.2491781620558
245812877.811494876871-65.8114948768709
24610511053.73002555462-2.73002555461817
24716561435.78349090698220.216509093025
248705806.071485953264-101.071485953264
2499451047.47100535739-102.471005357393
250554647.860443037786-93.8604430377857
25115971619.05936814198-22.059368141979
252982995.076543631989-13.076543631989
253222316.050118957736-94.050118957736
25412121232.41523006413-20.4152300641347
25511431229.71757517799-86.7175751779901
256435524.593850280201-89.5938502802013
257532558.454431780166-26.4544317801657
258882963.523861550712-81.5238615507125
259608630.154557786279-22.1545577862794
260459473.695533926547-14.6955339265469
261578614.835068084411-36.8350680844105
262826813.50247686621212.4975231337884
263509459.75806823661749.2419317633835
264717672.40077062030644.599229379694
265637703.278501586371-66.2785015863712
266857874.61190568271-17.6119056827103
267830884.323938393414-54.3239383934144
268652829.911913755353-177.911913755353
269707821.036937081737-114.036937081737
2709541041.31223058612-87.3122305861212
27114611325.085320476135.914679523995
272672756.547223829603-84.5472238296032
273778808.45761174509-30.45761174509
27411411163.13778664034-22.1377866403375
275680643.4185781671836.58142183282
27610901031.851768654358.1482313457034
277616556.80074189188359.1992581081166
278285337.796270054653-52.7962700546525
27911451048.2825515174496.7174484825583
280733780.773236160481-47.7732361604811
281888911.561496998288-23.5614969982878
282849888.440495109778-39.4404951097777
28311821173.711762964858.28823703514588
284528572.247881823914-44.2478818239143
285642724.675227616952-82.6752276169524
286947577.610814536104369.389185463896
287819701.968617634402117.031382365598
288757672.43196631605184.5680336839485
289894894.506546435864-0.506546435863584

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 1418 & 1312.3191973142 & 105.680802685795 \tabularnewline
2 & 869 & 1046.61876077568 & -177.618760775681 \tabularnewline
3 & 1530 & 1581.4256972705 & -51.4256972704974 \tabularnewline
4 & 2172 & 2504.53767447054 & -332.537674470538 \tabularnewline
5 & 901 & 882.083435131612 & 18.9165648683877 \tabularnewline
6 & 463 & 479.211044465802 & -16.2110444658018 \tabularnewline
7 & 3201 & 3618.19438011378 & -417.194380113776 \tabularnewline
8 & 371 & 372.980699226029 & -1.98069922602937 \tabularnewline
9 & 1192 & 1111.23499877078 & 80.7650012292169 \tabularnewline
10 & 1583 & 1594.98850958051 & -11.9885095805053 \tabularnewline
11 & 1439 & 1345.84767808268 & 93.1523219173149 \tabularnewline
12 & 1764 & 1879.75736306938 & -115.757363069383 \tabularnewline
13 & 1495 & 1564.3631220226 & -69.3631220226018 \tabularnewline
14 & 1373 & 1437.2092846928 & -64.2092846927961 \tabularnewline
15 & 2187 & 2277.96908742951 & -90.9690874295062 \tabularnewline
16 & 1491 & 1496.8686726247 & -5.86867262469816 \tabularnewline
17 & 4041 & 3760.91108461805 & 280.088915381951 \tabularnewline
18 & 1706 & 1691.49651835909 & 14.5034816409117 \tabularnewline
19 & 2152 & 2352.03823577688 & -200.038235776885 \tabularnewline
20 & 1036 & 1119.0523596138 & -83.0523596137957 \tabularnewline
21 & 1882 & 1768.95545337953 & 113.044546620469 \tabularnewline
22 & 1929 & 1742.29449324686 & 186.705506753136 \tabularnewline
23 & 2242 & 2453.32612987461 & -211.32612987461 \tabularnewline
24 & 1220 & 1159.94426624047 & 60.0557337595269 \tabularnewline
25 & 1289 & 1298.45767225236 & -9.45767225235579 \tabularnewline
26 & 2515 & 2576.07419594555 & -61.074195945548 \tabularnewline
27 & 2147 & 2092.95995842064 & 54.0400415793645 \tabularnewline
28 & 2352 & 2440.88844315395 & -88.8884431539547 \tabularnewline
29 & 1638 & 1606.992598581 & 31.0074014190013 \tabularnewline
30 & 1222 & 1251.32779000898 & -29.3277900089757 \tabularnewline
31 & 1812 & 1964.14586717974 & -152.145867179739 \tabularnewline
32 & 1677 & 1717.64662814581 & -40.64662814581 \tabularnewline
33 & 1579 & 1534.91161823579 & 44.0883817642124 \tabularnewline
34 & 1731 & 1856.20847567996 & -125.208475679955 \tabularnewline
35 & 807 & 846.664269965099 & -39.6642699650992 \tabularnewline
36 & 2452 & 2519.43711906201 & -67.4371190620132 \tabularnewline
37 & 829 & 761.499700010106 & 67.5002999898941 \tabularnewline
38 & 1940 & 2035.37930569393 & -95.379305693931 \tabularnewline
39 & 2662 & 2460.03124878011 & 201.968751219887 \tabularnewline
40 & 186 & 216.120483923287 & -30.1204839232871 \tabularnewline
41 & 1499 & 1446.84830589708 & 52.1516941029198 \tabularnewline
42 & 865 & 747.309832381895 & 117.690167618105 \tabularnewline
43 & 1793 & 1482.74695519802 & 310.253044801978 \tabularnewline
44 & 2527 & 2548.07867893825 & -21.0786789382491 \tabularnewline
45 & 2747 & 2963.1579233001 & -216.157923300102 \tabularnewline
46 & 1324 & 1499.02696663474 & -175.026966634744 \tabularnewline
47 & 2702 & 2355.21160601873 & 346.788393981267 \tabularnewline
48 & 1383 & 1506.14648545299 & -123.146485452993 \tabularnewline
49 & 1179 & 1003.80571813486 & 175.194281865136 \tabularnewline
50 & 2099 & 2067.45643676338 & 31.5435632366171 \tabularnewline
51 & 4308 & 4734.3858299297 & -426.385829929704 \tabularnewline
52 & 918 & 945.787332082533 & -27.7873320825333 \tabularnewline
53 & 1831 & 1622.37695987296 & 208.623040127044 \tabularnewline
54 & 3373 & 3044.25385558754 & 328.746144412459 \tabularnewline
55 & 1713 & 1845.24879720723 & -132.248797207229 \tabularnewline
56 & 1438 & 1360.05220304756 & 77.9477969524413 \tabularnewline
57 & 496 & 553.219795561551 & -57.2197955615508 \tabularnewline
58 & 2253 & 2769.13718034442 & -516.13718034442 \tabularnewline
59 & 744 & 703.875440428681 & 40.1245595713189 \tabularnewline
60 & 1161 & 1294.23515271291 & -133.235152712906 \tabularnewline
61 & 2352 & 2112.74324177244 & 239.256758227557 \tabularnewline
62 & 2144 & 1756.86594923199 & 387.134050768009 \tabularnewline
63 & 4691 & 3533.63858292411 & 1157.36141707589 \tabularnewline
64 & 1112 & 1063.25235906179 & 48.7476409382074 \tabularnewline
65 & 2694 & 2448.30850622293 & 245.691493777073 \tabularnewline
66 & 1973 & 2268.45832082763 & -295.458320827628 \tabularnewline
67 & 1769 & 1873.94257573054 & -104.942575730538 \tabularnewline
68 & 3148 & 2870.27156704541 & 277.728432954586 \tabularnewline
69 & 2474 & 2490.23506650929 & -16.2350665092926 \tabularnewline
70 & 2084 & 2201.99150378557 & -117.991503785571 \tabularnewline
71 & 1954 & 1850.38468286591 & 103.615317134089 \tabularnewline
72 & 1226 & 1330.25786164463 & -104.257861644631 \tabularnewline
73 & 1389 & 1205.5409003407 & 183.459099659299 \tabularnewline
74 & 1496 & 1500.50247038627 & -4.50247038627024 \tabularnewline
75 & 2269 & 2121.51733792935 & 147.482662070646 \tabularnewline
76 & 1833 & 1896.01529473989 & -63.0152947398878 \tabularnewline
77 & 1268 & 1450.63935732625 & -182.639357326254 \tabularnewline
78 & 1943 & 1820.87292256413 & 122.127077435868 \tabularnewline
79 & 893 & 1031.30058922523 & -138.300589225227 \tabularnewline
80 & 1762 & 1646.41851737852 & 115.58148262148 \tabularnewline
81 & 1403 & 1593.15366542344 & -190.153665423443 \tabularnewline
82 & 1425 & 1420.17823234017 & 4.82176765983242 \tabularnewline
83 & 1857 & 2175.89142946369 & -318.891429463685 \tabularnewline
84 & 1840 & 1989.13319489503 & -149.133194895025 \tabularnewline
85 & 1502 & 1488.61256172951 & 13.3874382704936 \tabularnewline
86 & 1441 & 1360.22238065733 & 80.7776193426738 \tabularnewline
87 & 1420 & 1460.38807301526 & -40.3880730152635 \tabularnewline
88 & 1416 & 1311.47116851888 & 104.528831481124 \tabularnewline
89 & 2970 & 2665.44892478439 & 304.551075215612 \tabularnewline
90 & 1317 & 1660.98164716456 & -343.981647164564 \tabularnewline
91 & 1644 & 1493.5413686615 & 150.458631338496 \tabularnewline
92 & 870 & 1115.10123385501 & -245.10123385501 \tabularnewline
93 & 1654 & 1835.09161171659 & -181.091611716591 \tabularnewline
94 & 1054 & 1017.70853087958 & 36.2914691204181 \tabularnewline
95 & 937 & 869.573450214686 & 67.4265497853144 \tabularnewline
96 & 3004 & 3266.65142830147 & -262.651428301468 \tabularnewline
97 & 2008 & 1970.94087564683 & 37.0591243531711 \tabularnewline
98 & 2547 & 2386.22427128949 & 160.775728710507 \tabularnewline
99 & 1885 & 1796.42290365268 & 88.5770963473194 \tabularnewline
100 & 1626 & 1669.71402331552 & -43.7140233155167 \tabularnewline
101 & 1468 & 1396.23315119539 & 71.7668488046119 \tabularnewline
102 & 2445 & 2325.7910222454 & 119.208977754596 \tabularnewline
103 & 1964 & 2047.82328520596 & -83.8232852059594 \tabularnewline
104 & 1381 & 1326.51869114574 & 54.4813088542571 \tabularnewline
105 & 1369 & 1370.69789594129 & -1.69789594128952 \tabularnewline
106 & 1659 & 1775.30477035263 & -116.304770352627 \tabularnewline
107 & 2888 & 2738.82890623697 & 149.171093763025 \tabularnewline
108 & 1290 & 1031.85469916669 & 258.145300833314 \tabularnewline
109 & 2845 & 2911.67672504 & -66.6767250399983 \tabularnewline
110 & 1982 & 1961.11938873892 & 20.8806112610784 \tabularnewline
111 & 1904 & 1965.23197752556 & -61.2319775255577 \tabularnewline
112 & 1391 & 1602.2124527982 & -211.212452798195 \tabularnewline
113 & 602 & 629.953020481186 & -27.9530204811859 \tabularnewline
114 & 1743 & 1670.13860744294 & 72.8613925570603 \tabularnewline
115 & 1559 & 1660.17235679754 & -101.172356797536 \tabularnewline
116 & 2014 & 2183.97888500822 & -169.97888500822 \tabularnewline
117 & 2143 & 2265.5394588783 & -122.539458878303 \tabularnewline
118 & 2146 & 1982.6907190692 & 163.309280930795 \tabularnewline
119 & 874 & 886.347001988828 & -12.3470019888283 \tabularnewline
120 & 1590 & 1489.03044419682 & 100.969555803178 \tabularnewline
121 & 1590 & 1425.54509685697 & 164.454903143032 \tabularnewline
122 & 1210 & 1274.42080525653 & -64.4208052565272 \tabularnewline
123 & 2072 & 2030.34501235669 & 41.6549876433113 \tabularnewline
124 & 1281 & 1400.39175071768 & -119.391750717683 \tabularnewline
125 & 1401 & 1394.10224344506 & 6.89775655493858 \tabularnewline
126 & 834 & 798.194958671466 & 35.8050413285336 \tabularnewline
127 & 1105 & 1133.78039861596 & -28.7803986159606 \tabularnewline
128 & 1272 & 1031.51373080809 & 240.486269191913 \tabularnewline
129 & 1944 & 1858.43153715466 & 85.5684628453409 \tabularnewline
130 & 391 & 421.431058413915 & -30.4310584139151 \tabularnewline
131 & 761 & 717.035044896073 & 43.9649551039265 \tabularnewline
132 & 1605 & 1645.07234583113 & -40.0723458311269 \tabularnewline
133 & 530 & 642.403406290791 & -112.403406290791 \tabularnewline
134 & 1988 & 1686.88549010825 & 301.114509891746 \tabularnewline
135 & 1386 & 1413.4989943229 & -27.4989943229014 \tabularnewline
136 & 2395 & 2576.91193118393 & -181.911931183928 \tabularnewline
137 & 387 & 400.881168466609 & -13.8811684666094 \tabularnewline
138 & 1742 & 1831.48167043431 & -89.4816704343098 \tabularnewline
139 & 620 & 553.537766069315 & 66.4622339306847 \tabularnewline
140 & 449 & 553.849889111908 & -104.849889111908 \tabularnewline
141 & 800 & 813.830855453008 & -13.8308554530076 \tabularnewline
142 & 1684 & 1463.9238098487 & 220.076190151303 \tabularnewline
143 & 1050 & 1084.32092966866 & -34.3209296686648 \tabularnewline
144 & 2699 & 2673.80842106471 & 25.1915789352896 \tabularnewline
145 & 1606 & 1537.60111280564 & 68.3988871943592 \tabularnewline
146 & 1502 & 1274.26050546264 & 227.739494537355 \tabularnewline
147 & 1204 & 1287.33464115338 & -83.3346411533781 \tabularnewline
148 & 1138 & 1102.23295628786 & 35.7670437121366 \tabularnewline
149 & 568 & 801.023407124999 & -233.023407124999 \tabularnewline
150 & 1459 & 1432.30276221386 & 26.6972377861352 \tabularnewline
151 & 2158 & 2210.94436785937 & -52.9443678593735 \tabularnewline
152 & 1111 & 1224.04181960524 & -113.041819605245 \tabularnewline
153 & 1421 & 1309.04430701112 & 111.955692988882 \tabularnewline
154 & 2833 & 3155.41725202898 & -322.41725202898 \tabularnewline
155 & 1955 & 2199.54838244202 & -244.548382442017 \tabularnewline
156 & 2922 & 2797.39777691341 & 124.602223086587 \tabularnewline
157 & 1002 & 1142.91295672283 & -140.912956722833 \tabularnewline
158 & 1060 & 1136.08438175528 & -76.0843817552778 \tabularnewline
159 & 956 & 990.263624316245 & -34.2636243162455 \tabularnewline
160 & 2186 & 2613.07081395798 & -427.070813957976 \tabularnewline
161 & 3604 & 3405.33602677687 & 198.66397322313 \tabularnewline
162 & 1035 & 1090.58956743968 & -55.5895674396841 \tabularnewline
163 & 1417 & 1497.71046705945 & -80.7104670594516 \tabularnewline
164 & 3261 & 3434.13501549086 & -173.135015490864 \tabularnewline
165 & 1587 & 1624.39893880915 & -37.3989388091531 \tabularnewline
166 & 1424 & 1438.5215209679 & -14.5215209679044 \tabularnewline
167 & 1701 & 1791.71552694931 & -90.7155269493065 \tabularnewline
168 & 1249 & 1365.60965978251 & -116.609659782511 \tabularnewline
169 & 946 & 925.716612774764 & 20.2833872252361 \tabularnewline
170 & 1926 & 1793.96081220903 & 132.039187790967 \tabularnewline
171 & 3352 & 3359.38431721983 & -7.3843172198272 \tabularnewline
172 & 1641 & 1656.33876808793 & -15.3387680879293 \tabularnewline
173 & 2035 & 1802.82878745915 & 232.171212540853 \tabularnewline
174 & 2312 & 2168.2436590359 & 143.756340964096 \tabularnewline
175 & 1369 & 1604.07017881834 & -235.070178818338 \tabularnewline
176 & 1577 & 1566.00278379633 & 10.9972162036652 \tabularnewline
177 & 2201 & 2154.82325042564 & 46.1767495743609 \tabularnewline
178 & 961 & 928.653710300476 & 32.3462896995238 \tabularnewline
179 & 1900 & 1889.22105157912 & 10.77894842088 \tabularnewline
180 & 1254 & 1268.19888848456 & -14.198888484564 \tabularnewline
181 & 1335 & 1271.78645711669 & 63.2135428833138 \tabularnewline
182 & 1597 & 1498.12821230957 & 98.8717876904252 \tabularnewline
183 & 207 & 261.591463588912 & -54.591463588912 \tabularnewline
184 & 1645 & 1554.67229078877 & 90.3277092112345 \tabularnewline
185 & 2429 & 2385.18244791941 & 43.8175520805866 \tabularnewline
186 & 151 & 234.333157271308 & -83.3331572713076 \tabularnewline
187 & 474 & 652.056222158781 & -178.056222158781 \tabularnewline
188 & 141 & 212.6573447517 & -71.6573447517002 \tabularnewline
189 & 1639 & 1368.03151968429 & 270.968480315713 \tabularnewline
190 & 872 & 839.393834058604 & 32.6061659413958 \tabularnewline
191 & 1318 & 1211.52861885301 & 106.471381146992 \tabularnewline
192 & 1018 & 1165.84235742272 & -147.84235742272 \tabularnewline
193 & 1383 & 1287.3194702242 & 95.6805297758043 \tabularnewline
194 & 1314 & 1136.6581014286 & 177.341898571396 \tabularnewline
195 & 1335 & 1370.40034204646 & -35.4003420464606 \tabularnewline
196 & 1403 & 1349.57084429723 & 53.4291557027733 \tabularnewline
197 & 910 & 1016.89652177808 & -106.896521778078 \tabularnewline
198 & 616 & 683.708097181342 & -67.7080971813418 \tabularnewline
199 & 1407 & 1472.58974708387 & -65.5897470838694 \tabularnewline
200 & 771 & 823.109966588823 & -52.1099665888226 \tabularnewline
201 & 766 & 786.563061576784 & -20.5630615767842 \tabularnewline
202 & 473 & 514.090091503204 & -41.0900915032038 \tabularnewline
203 & 1376 & 1450.76598834903 & -74.7659883490336 \tabularnewline
204 & 1232 & 1225.40017816641 & 6.59982183359364 \tabularnewline
205 & 1521 & 1517.89932194238 & 3.10067805762443 \tabularnewline
206 & 572 & 591.424682307827 & -19.4246823078274 \tabularnewline
207 & 1059 & 914.152392284709 & 144.847607715291 \tabularnewline
208 & 1544 & 1615.36673338281 & -71.366733382807 \tabularnewline
209 & 1230 & 1231.27111732907 & -1.27111732907217 \tabularnewline
210 & 1206 & 1261.41325483626 & -55.4132548362589 \tabularnewline
211 & 1205 & 1140.581219679 & 64.4187803210022 \tabularnewline
212 & 1255 & 1038.39821911629 & 216.60178088371 \tabularnewline
213 & 613 & 621.150990190575 & -8.15099019057495 \tabularnewline
214 & 721 & 830.930035459015 & -109.930035459015 \tabularnewline
215 & 1109 & 1052.91625506824 & 56.0837449317641 \tabularnewline
216 & 740 & 714.885373381562 & 25.1146266184384 \tabularnewline
217 & 1126 & 1143.4979486867 & -17.4979486867003 \tabularnewline
218 & 728 & 825.621553653956 & -97.6215536539555 \tabularnewline
219 & 689 & 767.308698387614 & -78.3086983876139 \tabularnewline
220 & 592 & 641.440515612159 & -49.4405156121592 \tabularnewline
221 & 995 & 945.084559156306 & 49.9154408436945 \tabularnewline
222 & 1613 & 1225.14736517867 & 387.852634821325 \tabularnewline
223 & 2048 & 1781.3281117908 & 266.671888209201 \tabularnewline
224 & 705 & 646.116220541382 & 58.8837794586184 \tabularnewline
225 & 301 & 405.319150728201 & -104.319150728201 \tabularnewline
226 & 1803 & 1753.69686818199 & 49.3031318180116 \tabularnewline
227 & 799 & 837.89377167053 & -38.8937716705305 \tabularnewline
228 & 861 & 975.352024087725 & -114.352024087725 \tabularnewline
229 & 1186 & 1078.31968325025 & 107.680316749752 \tabularnewline
230 & 1451 & 1146.31527668291 & 304.684723317089 \tabularnewline
231 & 628 & 588.163307256658 & 39.8366927433425 \tabularnewline
232 & 1161 & 986.669060531104 & 174.330939468896 \tabularnewline
233 & 1463 & 1382.16027754554 & 80.8397224544611 \tabularnewline
234 & 742 & 735.503373776033 & 6.49662622396655 \tabularnewline
235 & 979 & 1066.21198992277 & -87.2119899227655 \tabularnewline
236 & 675 & 709.566608175572 & -34.5666081755719 \tabularnewline
237 & 1241 & 1214.45949525333 & 26.5405047466696 \tabularnewline
238 & 676 & 660.952481299927 & 15.047518700073 \tabularnewline
239 & 1049 & 1068.01005730391 & -19.0100573039127 \tabularnewline
240 & 620 & 689.72195749749 & -69.7219574974898 \tabularnewline
241 & 1081 & 992.063061681771 & 88.9369383182291 \tabularnewline
242 & 1688 & 1451.64875431234 & 236.351245687663 \tabularnewline
243 & 736 & 764.740046742881 & -28.7400467428812 \tabularnewline
244 & 617 & 686.249178162056 & -69.2491781620558 \tabularnewline
245 & 812 & 877.811494876871 & -65.8114948768709 \tabularnewline
246 & 1051 & 1053.73002555462 & -2.73002555461817 \tabularnewline
247 & 1656 & 1435.78349090698 & 220.216509093025 \tabularnewline
248 & 705 & 806.071485953264 & -101.071485953264 \tabularnewline
249 & 945 & 1047.47100535739 & -102.471005357393 \tabularnewline
250 & 554 & 647.860443037786 & -93.8604430377857 \tabularnewline
251 & 1597 & 1619.05936814198 & -22.059368141979 \tabularnewline
252 & 982 & 995.076543631989 & -13.076543631989 \tabularnewline
253 & 222 & 316.050118957736 & -94.050118957736 \tabularnewline
254 & 1212 & 1232.41523006413 & -20.4152300641347 \tabularnewline
255 & 1143 & 1229.71757517799 & -86.7175751779901 \tabularnewline
256 & 435 & 524.593850280201 & -89.5938502802013 \tabularnewline
257 & 532 & 558.454431780166 & -26.4544317801657 \tabularnewline
258 & 882 & 963.523861550712 & -81.5238615507125 \tabularnewline
259 & 608 & 630.154557786279 & -22.1545577862794 \tabularnewline
260 & 459 & 473.695533926547 & -14.6955339265469 \tabularnewline
261 & 578 & 614.835068084411 & -36.8350680844105 \tabularnewline
262 & 826 & 813.502476866212 & 12.4975231337884 \tabularnewline
263 & 509 & 459.758068236617 & 49.2419317633835 \tabularnewline
264 & 717 & 672.400770620306 & 44.599229379694 \tabularnewline
265 & 637 & 703.278501586371 & -66.2785015863712 \tabularnewline
266 & 857 & 874.61190568271 & -17.6119056827103 \tabularnewline
267 & 830 & 884.323938393414 & -54.3239383934144 \tabularnewline
268 & 652 & 829.911913755353 & -177.911913755353 \tabularnewline
269 & 707 & 821.036937081737 & -114.036937081737 \tabularnewline
270 & 954 & 1041.31223058612 & -87.3122305861212 \tabularnewline
271 & 1461 & 1325.085320476 & 135.914679523995 \tabularnewline
272 & 672 & 756.547223829603 & -84.5472238296032 \tabularnewline
273 & 778 & 808.45761174509 & -30.45761174509 \tabularnewline
274 & 1141 & 1163.13778664034 & -22.1377866403375 \tabularnewline
275 & 680 & 643.41857816718 & 36.58142183282 \tabularnewline
276 & 1090 & 1031.8517686543 & 58.1482313457034 \tabularnewline
277 & 616 & 556.800741891883 & 59.1992581081166 \tabularnewline
278 & 285 & 337.796270054653 & -52.7962700546525 \tabularnewline
279 & 1145 & 1048.28255151744 & 96.7174484825583 \tabularnewline
280 & 733 & 780.773236160481 & -47.7732361604811 \tabularnewline
281 & 888 & 911.561496998288 & -23.5614969982878 \tabularnewline
282 & 849 & 888.440495109778 & -39.4404951097777 \tabularnewline
283 & 1182 & 1173.71176296485 & 8.28823703514588 \tabularnewline
284 & 528 & 572.247881823914 & -44.2478818239143 \tabularnewline
285 & 642 & 724.675227616952 & -82.6752276169524 \tabularnewline
286 & 947 & 577.610814536104 & 369.389185463896 \tabularnewline
287 & 819 & 701.968617634402 & 117.031382365598 \tabularnewline
288 & 757 & 672.431966316051 & 84.5680336839485 \tabularnewline
289 & 894 & 894.506546435864 & -0.506546435863584 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=191153&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]1312.3191973142[/C][C]105.680802685795[/C][/ROW]
[ROW][C]2[/C][C]869[/C][C]1046.61876077568[/C][C]-177.618760775681[/C][/ROW]
[ROW][C]3[/C][C]1530[/C][C]1581.4256972705[/C][C]-51.4256972704974[/C][/ROW]
[ROW][C]4[/C][C]2172[/C][C]2504.53767447054[/C][C]-332.537674470538[/C][/ROW]
[ROW][C]5[/C][C]901[/C][C]882.083435131612[/C][C]18.9165648683877[/C][/ROW]
[ROW][C]6[/C][C]463[/C][C]479.211044465802[/C][C]-16.2110444658018[/C][/ROW]
[ROW][C]7[/C][C]3201[/C][C]3618.19438011378[/C][C]-417.194380113776[/C][/ROW]
[ROW][C]8[/C][C]371[/C][C]372.980699226029[/C][C]-1.98069922602937[/C][/ROW]
[ROW][C]9[/C][C]1192[/C][C]1111.23499877078[/C][C]80.7650012292169[/C][/ROW]
[ROW][C]10[/C][C]1583[/C][C]1594.98850958051[/C][C]-11.9885095805053[/C][/ROW]
[ROW][C]11[/C][C]1439[/C][C]1345.84767808268[/C][C]93.1523219173149[/C][/ROW]
[ROW][C]12[/C][C]1764[/C][C]1879.75736306938[/C][C]-115.757363069383[/C][/ROW]
[ROW][C]13[/C][C]1495[/C][C]1564.3631220226[/C][C]-69.3631220226018[/C][/ROW]
[ROW][C]14[/C][C]1373[/C][C]1437.2092846928[/C][C]-64.2092846927961[/C][/ROW]
[ROW][C]15[/C][C]2187[/C][C]2277.96908742951[/C][C]-90.9690874295062[/C][/ROW]
[ROW][C]16[/C][C]1491[/C][C]1496.8686726247[/C][C]-5.86867262469816[/C][/ROW]
[ROW][C]17[/C][C]4041[/C][C]3760.91108461805[/C][C]280.088915381951[/C][/ROW]
[ROW][C]18[/C][C]1706[/C][C]1691.49651835909[/C][C]14.5034816409117[/C][/ROW]
[ROW][C]19[/C][C]2152[/C][C]2352.03823577688[/C][C]-200.038235776885[/C][/ROW]
[ROW][C]20[/C][C]1036[/C][C]1119.0523596138[/C][C]-83.0523596137957[/C][/ROW]
[ROW][C]21[/C][C]1882[/C][C]1768.95545337953[/C][C]113.044546620469[/C][/ROW]
[ROW][C]22[/C][C]1929[/C][C]1742.29449324686[/C][C]186.705506753136[/C][/ROW]
[ROW][C]23[/C][C]2242[/C][C]2453.32612987461[/C][C]-211.32612987461[/C][/ROW]
[ROW][C]24[/C][C]1220[/C][C]1159.94426624047[/C][C]60.0557337595269[/C][/ROW]
[ROW][C]25[/C][C]1289[/C][C]1298.45767225236[/C][C]-9.45767225235579[/C][/ROW]
[ROW][C]26[/C][C]2515[/C][C]2576.07419594555[/C][C]-61.074195945548[/C][/ROW]
[ROW][C]27[/C][C]2147[/C][C]2092.95995842064[/C][C]54.0400415793645[/C][/ROW]
[ROW][C]28[/C][C]2352[/C][C]2440.88844315395[/C][C]-88.8884431539547[/C][/ROW]
[ROW][C]29[/C][C]1638[/C][C]1606.992598581[/C][C]31.0074014190013[/C][/ROW]
[ROW][C]30[/C][C]1222[/C][C]1251.32779000898[/C][C]-29.3277900089757[/C][/ROW]
[ROW][C]31[/C][C]1812[/C][C]1964.14586717974[/C][C]-152.145867179739[/C][/ROW]
[ROW][C]32[/C][C]1677[/C][C]1717.64662814581[/C][C]-40.64662814581[/C][/ROW]
[ROW][C]33[/C][C]1579[/C][C]1534.91161823579[/C][C]44.0883817642124[/C][/ROW]
[ROW][C]34[/C][C]1731[/C][C]1856.20847567996[/C][C]-125.208475679955[/C][/ROW]
[ROW][C]35[/C][C]807[/C][C]846.664269965099[/C][C]-39.6642699650992[/C][/ROW]
[ROW][C]36[/C][C]2452[/C][C]2519.43711906201[/C][C]-67.4371190620132[/C][/ROW]
[ROW][C]37[/C][C]829[/C][C]761.499700010106[/C][C]67.5002999898941[/C][/ROW]
[ROW][C]38[/C][C]1940[/C][C]2035.37930569393[/C][C]-95.379305693931[/C][/ROW]
[ROW][C]39[/C][C]2662[/C][C]2460.03124878011[/C][C]201.968751219887[/C][/ROW]
[ROW][C]40[/C][C]186[/C][C]216.120483923287[/C][C]-30.1204839232871[/C][/ROW]
[ROW][C]41[/C][C]1499[/C][C]1446.84830589708[/C][C]52.1516941029198[/C][/ROW]
[ROW][C]42[/C][C]865[/C][C]747.309832381895[/C][C]117.690167618105[/C][/ROW]
[ROW][C]43[/C][C]1793[/C][C]1482.74695519802[/C][C]310.253044801978[/C][/ROW]
[ROW][C]44[/C][C]2527[/C][C]2548.07867893825[/C][C]-21.0786789382491[/C][/ROW]
[ROW][C]45[/C][C]2747[/C][C]2963.1579233001[/C][C]-216.157923300102[/C][/ROW]
[ROW][C]46[/C][C]1324[/C][C]1499.02696663474[/C][C]-175.026966634744[/C][/ROW]
[ROW][C]47[/C][C]2702[/C][C]2355.21160601873[/C][C]346.788393981267[/C][/ROW]
[ROW][C]48[/C][C]1383[/C][C]1506.14648545299[/C][C]-123.146485452993[/C][/ROW]
[ROW][C]49[/C][C]1179[/C][C]1003.80571813486[/C][C]175.194281865136[/C][/ROW]
[ROW][C]50[/C][C]2099[/C][C]2067.45643676338[/C][C]31.5435632366171[/C][/ROW]
[ROW][C]51[/C][C]4308[/C][C]4734.3858299297[/C][C]-426.385829929704[/C][/ROW]
[ROW][C]52[/C][C]918[/C][C]945.787332082533[/C][C]-27.7873320825333[/C][/ROW]
[ROW][C]53[/C][C]1831[/C][C]1622.37695987296[/C][C]208.623040127044[/C][/ROW]
[ROW][C]54[/C][C]3373[/C][C]3044.25385558754[/C][C]328.746144412459[/C][/ROW]
[ROW][C]55[/C][C]1713[/C][C]1845.24879720723[/C][C]-132.248797207229[/C][/ROW]
[ROW][C]56[/C][C]1438[/C][C]1360.05220304756[/C][C]77.9477969524413[/C][/ROW]
[ROW][C]57[/C][C]496[/C][C]553.219795561551[/C][C]-57.2197955615508[/C][/ROW]
[ROW][C]58[/C][C]2253[/C][C]2769.13718034442[/C][C]-516.13718034442[/C][/ROW]
[ROW][C]59[/C][C]744[/C][C]703.875440428681[/C][C]40.1245595713189[/C][/ROW]
[ROW][C]60[/C][C]1161[/C][C]1294.23515271291[/C][C]-133.235152712906[/C][/ROW]
[ROW][C]61[/C][C]2352[/C][C]2112.74324177244[/C][C]239.256758227557[/C][/ROW]
[ROW][C]62[/C][C]2144[/C][C]1756.86594923199[/C][C]387.134050768009[/C][/ROW]
[ROW][C]63[/C][C]4691[/C][C]3533.63858292411[/C][C]1157.36141707589[/C][/ROW]
[ROW][C]64[/C][C]1112[/C][C]1063.25235906179[/C][C]48.7476409382074[/C][/ROW]
[ROW][C]65[/C][C]2694[/C][C]2448.30850622293[/C][C]245.691493777073[/C][/ROW]
[ROW][C]66[/C][C]1973[/C][C]2268.45832082763[/C][C]-295.458320827628[/C][/ROW]
[ROW][C]67[/C][C]1769[/C][C]1873.94257573054[/C][C]-104.942575730538[/C][/ROW]
[ROW][C]68[/C][C]3148[/C][C]2870.27156704541[/C][C]277.728432954586[/C][/ROW]
[ROW][C]69[/C][C]2474[/C][C]2490.23506650929[/C][C]-16.2350665092926[/C][/ROW]
[ROW][C]70[/C][C]2084[/C][C]2201.99150378557[/C][C]-117.991503785571[/C][/ROW]
[ROW][C]71[/C][C]1954[/C][C]1850.38468286591[/C][C]103.615317134089[/C][/ROW]
[ROW][C]72[/C][C]1226[/C][C]1330.25786164463[/C][C]-104.257861644631[/C][/ROW]
[ROW][C]73[/C][C]1389[/C][C]1205.5409003407[/C][C]183.459099659299[/C][/ROW]
[ROW][C]74[/C][C]1496[/C][C]1500.50247038627[/C][C]-4.50247038627024[/C][/ROW]
[ROW][C]75[/C][C]2269[/C][C]2121.51733792935[/C][C]147.482662070646[/C][/ROW]
[ROW][C]76[/C][C]1833[/C][C]1896.01529473989[/C][C]-63.0152947398878[/C][/ROW]
[ROW][C]77[/C][C]1268[/C][C]1450.63935732625[/C][C]-182.639357326254[/C][/ROW]
[ROW][C]78[/C][C]1943[/C][C]1820.87292256413[/C][C]122.127077435868[/C][/ROW]
[ROW][C]79[/C][C]893[/C][C]1031.30058922523[/C][C]-138.300589225227[/C][/ROW]
[ROW][C]80[/C][C]1762[/C][C]1646.41851737852[/C][C]115.58148262148[/C][/ROW]
[ROW][C]81[/C][C]1403[/C][C]1593.15366542344[/C][C]-190.153665423443[/C][/ROW]
[ROW][C]82[/C][C]1425[/C][C]1420.17823234017[/C][C]4.82176765983242[/C][/ROW]
[ROW][C]83[/C][C]1857[/C][C]2175.89142946369[/C][C]-318.891429463685[/C][/ROW]
[ROW][C]84[/C][C]1840[/C][C]1989.13319489503[/C][C]-149.133194895025[/C][/ROW]
[ROW][C]85[/C][C]1502[/C][C]1488.61256172951[/C][C]13.3874382704936[/C][/ROW]
[ROW][C]86[/C][C]1441[/C][C]1360.22238065733[/C][C]80.7776193426738[/C][/ROW]
[ROW][C]87[/C][C]1420[/C][C]1460.38807301526[/C][C]-40.3880730152635[/C][/ROW]
[ROW][C]88[/C][C]1416[/C][C]1311.47116851888[/C][C]104.528831481124[/C][/ROW]
[ROW][C]89[/C][C]2970[/C][C]2665.44892478439[/C][C]304.551075215612[/C][/ROW]
[ROW][C]90[/C][C]1317[/C][C]1660.98164716456[/C][C]-343.981647164564[/C][/ROW]
[ROW][C]91[/C][C]1644[/C][C]1493.5413686615[/C][C]150.458631338496[/C][/ROW]
[ROW][C]92[/C][C]870[/C][C]1115.10123385501[/C][C]-245.10123385501[/C][/ROW]
[ROW][C]93[/C][C]1654[/C][C]1835.09161171659[/C][C]-181.091611716591[/C][/ROW]
[ROW][C]94[/C][C]1054[/C][C]1017.70853087958[/C][C]36.2914691204181[/C][/ROW]
[ROW][C]95[/C][C]937[/C][C]869.573450214686[/C][C]67.4265497853144[/C][/ROW]
[ROW][C]96[/C][C]3004[/C][C]3266.65142830147[/C][C]-262.651428301468[/C][/ROW]
[ROW][C]97[/C][C]2008[/C][C]1970.94087564683[/C][C]37.0591243531711[/C][/ROW]
[ROW][C]98[/C][C]2547[/C][C]2386.22427128949[/C][C]160.775728710507[/C][/ROW]
[ROW][C]99[/C][C]1885[/C][C]1796.42290365268[/C][C]88.5770963473194[/C][/ROW]
[ROW][C]100[/C][C]1626[/C][C]1669.71402331552[/C][C]-43.7140233155167[/C][/ROW]
[ROW][C]101[/C][C]1468[/C][C]1396.23315119539[/C][C]71.7668488046119[/C][/ROW]
[ROW][C]102[/C][C]2445[/C][C]2325.7910222454[/C][C]119.208977754596[/C][/ROW]
[ROW][C]103[/C][C]1964[/C][C]2047.82328520596[/C][C]-83.8232852059594[/C][/ROW]
[ROW][C]104[/C][C]1381[/C][C]1326.51869114574[/C][C]54.4813088542571[/C][/ROW]
[ROW][C]105[/C][C]1369[/C][C]1370.69789594129[/C][C]-1.69789594128952[/C][/ROW]
[ROW][C]106[/C][C]1659[/C][C]1775.30477035263[/C][C]-116.304770352627[/C][/ROW]
[ROW][C]107[/C][C]2888[/C][C]2738.82890623697[/C][C]149.171093763025[/C][/ROW]
[ROW][C]108[/C][C]1290[/C][C]1031.85469916669[/C][C]258.145300833314[/C][/ROW]
[ROW][C]109[/C][C]2845[/C][C]2911.67672504[/C][C]-66.6767250399983[/C][/ROW]
[ROW][C]110[/C][C]1982[/C][C]1961.11938873892[/C][C]20.8806112610784[/C][/ROW]
[ROW][C]111[/C][C]1904[/C][C]1965.23197752556[/C][C]-61.2319775255577[/C][/ROW]
[ROW][C]112[/C][C]1391[/C][C]1602.2124527982[/C][C]-211.212452798195[/C][/ROW]
[ROW][C]113[/C][C]602[/C][C]629.953020481186[/C][C]-27.9530204811859[/C][/ROW]
[ROW][C]114[/C][C]1743[/C][C]1670.13860744294[/C][C]72.8613925570603[/C][/ROW]
[ROW][C]115[/C][C]1559[/C][C]1660.17235679754[/C][C]-101.172356797536[/C][/ROW]
[ROW][C]116[/C][C]2014[/C][C]2183.97888500822[/C][C]-169.97888500822[/C][/ROW]
[ROW][C]117[/C][C]2143[/C][C]2265.5394588783[/C][C]-122.539458878303[/C][/ROW]
[ROW][C]118[/C][C]2146[/C][C]1982.6907190692[/C][C]163.309280930795[/C][/ROW]
[ROW][C]119[/C][C]874[/C][C]886.347001988828[/C][C]-12.3470019888283[/C][/ROW]
[ROW][C]120[/C][C]1590[/C][C]1489.03044419682[/C][C]100.969555803178[/C][/ROW]
[ROW][C]121[/C][C]1590[/C][C]1425.54509685697[/C][C]164.454903143032[/C][/ROW]
[ROW][C]122[/C][C]1210[/C][C]1274.42080525653[/C][C]-64.4208052565272[/C][/ROW]
[ROW][C]123[/C][C]2072[/C][C]2030.34501235669[/C][C]41.6549876433113[/C][/ROW]
[ROW][C]124[/C][C]1281[/C][C]1400.39175071768[/C][C]-119.391750717683[/C][/ROW]
[ROW][C]125[/C][C]1401[/C][C]1394.10224344506[/C][C]6.89775655493858[/C][/ROW]
[ROW][C]126[/C][C]834[/C][C]798.194958671466[/C][C]35.8050413285336[/C][/ROW]
[ROW][C]127[/C][C]1105[/C][C]1133.78039861596[/C][C]-28.7803986159606[/C][/ROW]
[ROW][C]128[/C][C]1272[/C][C]1031.51373080809[/C][C]240.486269191913[/C][/ROW]
[ROW][C]129[/C][C]1944[/C][C]1858.43153715466[/C][C]85.5684628453409[/C][/ROW]
[ROW][C]130[/C][C]391[/C][C]421.431058413915[/C][C]-30.4310584139151[/C][/ROW]
[ROW][C]131[/C][C]761[/C][C]717.035044896073[/C][C]43.9649551039265[/C][/ROW]
[ROW][C]132[/C][C]1605[/C][C]1645.07234583113[/C][C]-40.0723458311269[/C][/ROW]
[ROW][C]133[/C][C]530[/C][C]642.403406290791[/C][C]-112.403406290791[/C][/ROW]
[ROW][C]134[/C][C]1988[/C][C]1686.88549010825[/C][C]301.114509891746[/C][/ROW]
[ROW][C]135[/C][C]1386[/C][C]1413.4989943229[/C][C]-27.4989943229014[/C][/ROW]
[ROW][C]136[/C][C]2395[/C][C]2576.91193118393[/C][C]-181.911931183928[/C][/ROW]
[ROW][C]137[/C][C]387[/C][C]400.881168466609[/C][C]-13.8811684666094[/C][/ROW]
[ROW][C]138[/C][C]1742[/C][C]1831.48167043431[/C][C]-89.4816704343098[/C][/ROW]
[ROW][C]139[/C][C]620[/C][C]553.537766069315[/C][C]66.4622339306847[/C][/ROW]
[ROW][C]140[/C][C]449[/C][C]553.849889111908[/C][C]-104.849889111908[/C][/ROW]
[ROW][C]141[/C][C]800[/C][C]813.830855453008[/C][C]-13.8308554530076[/C][/ROW]
[ROW][C]142[/C][C]1684[/C][C]1463.9238098487[/C][C]220.076190151303[/C][/ROW]
[ROW][C]143[/C][C]1050[/C][C]1084.32092966866[/C][C]-34.3209296686648[/C][/ROW]
[ROW][C]144[/C][C]2699[/C][C]2673.80842106471[/C][C]25.1915789352896[/C][/ROW]
[ROW][C]145[/C][C]1606[/C][C]1537.60111280564[/C][C]68.3988871943592[/C][/ROW]
[ROW][C]146[/C][C]1502[/C][C]1274.26050546264[/C][C]227.739494537355[/C][/ROW]
[ROW][C]147[/C][C]1204[/C][C]1287.33464115338[/C][C]-83.3346411533781[/C][/ROW]
[ROW][C]148[/C][C]1138[/C][C]1102.23295628786[/C][C]35.7670437121366[/C][/ROW]
[ROW][C]149[/C][C]568[/C][C]801.023407124999[/C][C]-233.023407124999[/C][/ROW]
[ROW][C]150[/C][C]1459[/C][C]1432.30276221386[/C][C]26.6972377861352[/C][/ROW]
[ROW][C]151[/C][C]2158[/C][C]2210.94436785937[/C][C]-52.9443678593735[/C][/ROW]
[ROW][C]152[/C][C]1111[/C][C]1224.04181960524[/C][C]-113.041819605245[/C][/ROW]
[ROW][C]153[/C][C]1421[/C][C]1309.04430701112[/C][C]111.955692988882[/C][/ROW]
[ROW][C]154[/C][C]2833[/C][C]3155.41725202898[/C][C]-322.41725202898[/C][/ROW]
[ROW][C]155[/C][C]1955[/C][C]2199.54838244202[/C][C]-244.548382442017[/C][/ROW]
[ROW][C]156[/C][C]2922[/C][C]2797.39777691341[/C][C]124.602223086587[/C][/ROW]
[ROW][C]157[/C][C]1002[/C][C]1142.91295672283[/C][C]-140.912956722833[/C][/ROW]
[ROW][C]158[/C][C]1060[/C][C]1136.08438175528[/C][C]-76.0843817552778[/C][/ROW]
[ROW][C]159[/C][C]956[/C][C]990.263624316245[/C][C]-34.2636243162455[/C][/ROW]
[ROW][C]160[/C][C]2186[/C][C]2613.07081395798[/C][C]-427.070813957976[/C][/ROW]
[ROW][C]161[/C][C]3604[/C][C]3405.33602677687[/C][C]198.66397322313[/C][/ROW]
[ROW][C]162[/C][C]1035[/C][C]1090.58956743968[/C][C]-55.5895674396841[/C][/ROW]
[ROW][C]163[/C][C]1417[/C][C]1497.71046705945[/C][C]-80.7104670594516[/C][/ROW]
[ROW][C]164[/C][C]3261[/C][C]3434.13501549086[/C][C]-173.135015490864[/C][/ROW]
[ROW][C]165[/C][C]1587[/C][C]1624.39893880915[/C][C]-37.3989388091531[/C][/ROW]
[ROW][C]166[/C][C]1424[/C][C]1438.5215209679[/C][C]-14.5215209679044[/C][/ROW]
[ROW][C]167[/C][C]1701[/C][C]1791.71552694931[/C][C]-90.7155269493065[/C][/ROW]
[ROW][C]168[/C][C]1249[/C][C]1365.60965978251[/C][C]-116.609659782511[/C][/ROW]
[ROW][C]169[/C][C]946[/C][C]925.716612774764[/C][C]20.2833872252361[/C][/ROW]
[ROW][C]170[/C][C]1926[/C][C]1793.96081220903[/C][C]132.039187790967[/C][/ROW]
[ROW][C]171[/C][C]3352[/C][C]3359.38431721983[/C][C]-7.3843172198272[/C][/ROW]
[ROW][C]172[/C][C]1641[/C][C]1656.33876808793[/C][C]-15.3387680879293[/C][/ROW]
[ROW][C]173[/C][C]2035[/C][C]1802.82878745915[/C][C]232.171212540853[/C][/ROW]
[ROW][C]174[/C][C]2312[/C][C]2168.2436590359[/C][C]143.756340964096[/C][/ROW]
[ROW][C]175[/C][C]1369[/C][C]1604.07017881834[/C][C]-235.070178818338[/C][/ROW]
[ROW][C]176[/C][C]1577[/C][C]1566.00278379633[/C][C]10.9972162036652[/C][/ROW]
[ROW][C]177[/C][C]2201[/C][C]2154.82325042564[/C][C]46.1767495743609[/C][/ROW]
[ROW][C]178[/C][C]961[/C][C]928.653710300476[/C][C]32.3462896995238[/C][/ROW]
[ROW][C]179[/C][C]1900[/C][C]1889.22105157912[/C][C]10.77894842088[/C][/ROW]
[ROW][C]180[/C][C]1254[/C][C]1268.19888848456[/C][C]-14.198888484564[/C][/ROW]
[ROW][C]181[/C][C]1335[/C][C]1271.78645711669[/C][C]63.2135428833138[/C][/ROW]
[ROW][C]182[/C][C]1597[/C][C]1498.12821230957[/C][C]98.8717876904252[/C][/ROW]
[ROW][C]183[/C][C]207[/C][C]261.591463588912[/C][C]-54.591463588912[/C][/ROW]
[ROW][C]184[/C][C]1645[/C][C]1554.67229078877[/C][C]90.3277092112345[/C][/ROW]
[ROW][C]185[/C][C]2429[/C][C]2385.18244791941[/C][C]43.8175520805866[/C][/ROW]
[ROW][C]186[/C][C]151[/C][C]234.333157271308[/C][C]-83.3331572713076[/C][/ROW]
[ROW][C]187[/C][C]474[/C][C]652.056222158781[/C][C]-178.056222158781[/C][/ROW]
[ROW][C]188[/C][C]141[/C][C]212.6573447517[/C][C]-71.6573447517002[/C][/ROW]
[ROW][C]189[/C][C]1639[/C][C]1368.03151968429[/C][C]270.968480315713[/C][/ROW]
[ROW][C]190[/C][C]872[/C][C]839.393834058604[/C][C]32.6061659413958[/C][/ROW]
[ROW][C]191[/C][C]1318[/C][C]1211.52861885301[/C][C]106.471381146992[/C][/ROW]
[ROW][C]192[/C][C]1018[/C][C]1165.84235742272[/C][C]-147.84235742272[/C][/ROW]
[ROW][C]193[/C][C]1383[/C][C]1287.3194702242[/C][C]95.6805297758043[/C][/ROW]
[ROW][C]194[/C][C]1314[/C][C]1136.6581014286[/C][C]177.341898571396[/C][/ROW]
[ROW][C]195[/C][C]1335[/C][C]1370.40034204646[/C][C]-35.4003420464606[/C][/ROW]
[ROW][C]196[/C][C]1403[/C][C]1349.57084429723[/C][C]53.4291557027733[/C][/ROW]
[ROW][C]197[/C][C]910[/C][C]1016.89652177808[/C][C]-106.896521778078[/C][/ROW]
[ROW][C]198[/C][C]616[/C][C]683.708097181342[/C][C]-67.7080971813418[/C][/ROW]
[ROW][C]199[/C][C]1407[/C][C]1472.58974708387[/C][C]-65.5897470838694[/C][/ROW]
[ROW][C]200[/C][C]771[/C][C]823.109966588823[/C][C]-52.1099665888226[/C][/ROW]
[ROW][C]201[/C][C]766[/C][C]786.563061576784[/C][C]-20.5630615767842[/C][/ROW]
[ROW][C]202[/C][C]473[/C][C]514.090091503204[/C][C]-41.0900915032038[/C][/ROW]
[ROW][C]203[/C][C]1376[/C][C]1450.76598834903[/C][C]-74.7659883490336[/C][/ROW]
[ROW][C]204[/C][C]1232[/C][C]1225.40017816641[/C][C]6.59982183359364[/C][/ROW]
[ROW][C]205[/C][C]1521[/C][C]1517.89932194238[/C][C]3.10067805762443[/C][/ROW]
[ROW][C]206[/C][C]572[/C][C]591.424682307827[/C][C]-19.4246823078274[/C][/ROW]
[ROW][C]207[/C][C]1059[/C][C]914.152392284709[/C][C]144.847607715291[/C][/ROW]
[ROW][C]208[/C][C]1544[/C][C]1615.36673338281[/C][C]-71.366733382807[/C][/ROW]
[ROW][C]209[/C][C]1230[/C][C]1231.27111732907[/C][C]-1.27111732907217[/C][/ROW]
[ROW][C]210[/C][C]1206[/C][C]1261.41325483626[/C][C]-55.4132548362589[/C][/ROW]
[ROW][C]211[/C][C]1205[/C][C]1140.581219679[/C][C]64.4187803210022[/C][/ROW]
[ROW][C]212[/C][C]1255[/C][C]1038.39821911629[/C][C]216.60178088371[/C][/ROW]
[ROW][C]213[/C][C]613[/C][C]621.150990190575[/C][C]-8.15099019057495[/C][/ROW]
[ROW][C]214[/C][C]721[/C][C]830.930035459015[/C][C]-109.930035459015[/C][/ROW]
[ROW][C]215[/C][C]1109[/C][C]1052.91625506824[/C][C]56.0837449317641[/C][/ROW]
[ROW][C]216[/C][C]740[/C][C]714.885373381562[/C][C]25.1146266184384[/C][/ROW]
[ROW][C]217[/C][C]1126[/C][C]1143.4979486867[/C][C]-17.4979486867003[/C][/ROW]
[ROW][C]218[/C][C]728[/C][C]825.621553653956[/C][C]-97.6215536539555[/C][/ROW]
[ROW][C]219[/C][C]689[/C][C]767.308698387614[/C][C]-78.3086983876139[/C][/ROW]
[ROW][C]220[/C][C]592[/C][C]641.440515612159[/C][C]-49.4405156121592[/C][/ROW]
[ROW][C]221[/C][C]995[/C][C]945.084559156306[/C][C]49.9154408436945[/C][/ROW]
[ROW][C]222[/C][C]1613[/C][C]1225.14736517867[/C][C]387.852634821325[/C][/ROW]
[ROW][C]223[/C][C]2048[/C][C]1781.3281117908[/C][C]266.671888209201[/C][/ROW]
[ROW][C]224[/C][C]705[/C][C]646.116220541382[/C][C]58.8837794586184[/C][/ROW]
[ROW][C]225[/C][C]301[/C][C]405.319150728201[/C][C]-104.319150728201[/C][/ROW]
[ROW][C]226[/C][C]1803[/C][C]1753.69686818199[/C][C]49.3031318180116[/C][/ROW]
[ROW][C]227[/C][C]799[/C][C]837.89377167053[/C][C]-38.8937716705305[/C][/ROW]
[ROW][C]228[/C][C]861[/C][C]975.352024087725[/C][C]-114.352024087725[/C][/ROW]
[ROW][C]229[/C][C]1186[/C][C]1078.31968325025[/C][C]107.680316749752[/C][/ROW]
[ROW][C]230[/C][C]1451[/C][C]1146.31527668291[/C][C]304.684723317089[/C][/ROW]
[ROW][C]231[/C][C]628[/C][C]588.163307256658[/C][C]39.8366927433425[/C][/ROW]
[ROW][C]232[/C][C]1161[/C][C]986.669060531104[/C][C]174.330939468896[/C][/ROW]
[ROW][C]233[/C][C]1463[/C][C]1382.16027754554[/C][C]80.8397224544611[/C][/ROW]
[ROW][C]234[/C][C]742[/C][C]735.503373776033[/C][C]6.49662622396655[/C][/ROW]
[ROW][C]235[/C][C]979[/C][C]1066.21198992277[/C][C]-87.2119899227655[/C][/ROW]
[ROW][C]236[/C][C]675[/C][C]709.566608175572[/C][C]-34.5666081755719[/C][/ROW]
[ROW][C]237[/C][C]1241[/C][C]1214.45949525333[/C][C]26.5405047466696[/C][/ROW]
[ROW][C]238[/C][C]676[/C][C]660.952481299927[/C][C]15.047518700073[/C][/ROW]
[ROW][C]239[/C][C]1049[/C][C]1068.01005730391[/C][C]-19.0100573039127[/C][/ROW]
[ROW][C]240[/C][C]620[/C][C]689.72195749749[/C][C]-69.7219574974898[/C][/ROW]
[ROW][C]241[/C][C]1081[/C][C]992.063061681771[/C][C]88.9369383182291[/C][/ROW]
[ROW][C]242[/C][C]1688[/C][C]1451.64875431234[/C][C]236.351245687663[/C][/ROW]
[ROW][C]243[/C][C]736[/C][C]764.740046742881[/C][C]-28.7400467428812[/C][/ROW]
[ROW][C]244[/C][C]617[/C][C]686.249178162056[/C][C]-69.2491781620558[/C][/ROW]
[ROW][C]245[/C][C]812[/C][C]877.811494876871[/C][C]-65.8114948768709[/C][/ROW]
[ROW][C]246[/C][C]1051[/C][C]1053.73002555462[/C][C]-2.73002555461817[/C][/ROW]
[ROW][C]247[/C][C]1656[/C][C]1435.78349090698[/C][C]220.216509093025[/C][/ROW]
[ROW][C]248[/C][C]705[/C][C]806.071485953264[/C][C]-101.071485953264[/C][/ROW]
[ROW][C]249[/C][C]945[/C][C]1047.47100535739[/C][C]-102.471005357393[/C][/ROW]
[ROW][C]250[/C][C]554[/C][C]647.860443037786[/C][C]-93.8604430377857[/C][/ROW]
[ROW][C]251[/C][C]1597[/C][C]1619.05936814198[/C][C]-22.059368141979[/C][/ROW]
[ROW][C]252[/C][C]982[/C][C]995.076543631989[/C][C]-13.076543631989[/C][/ROW]
[ROW][C]253[/C][C]222[/C][C]316.050118957736[/C][C]-94.050118957736[/C][/ROW]
[ROW][C]254[/C][C]1212[/C][C]1232.41523006413[/C][C]-20.4152300641347[/C][/ROW]
[ROW][C]255[/C][C]1143[/C][C]1229.71757517799[/C][C]-86.7175751779901[/C][/ROW]
[ROW][C]256[/C][C]435[/C][C]524.593850280201[/C][C]-89.5938502802013[/C][/ROW]
[ROW][C]257[/C][C]532[/C][C]558.454431780166[/C][C]-26.4544317801657[/C][/ROW]
[ROW][C]258[/C][C]882[/C][C]963.523861550712[/C][C]-81.5238615507125[/C][/ROW]
[ROW][C]259[/C][C]608[/C][C]630.154557786279[/C][C]-22.1545577862794[/C][/ROW]
[ROW][C]260[/C][C]459[/C][C]473.695533926547[/C][C]-14.6955339265469[/C][/ROW]
[ROW][C]261[/C][C]578[/C][C]614.835068084411[/C][C]-36.8350680844105[/C][/ROW]
[ROW][C]262[/C][C]826[/C][C]813.502476866212[/C][C]12.4975231337884[/C][/ROW]
[ROW][C]263[/C][C]509[/C][C]459.758068236617[/C][C]49.2419317633835[/C][/ROW]
[ROW][C]264[/C][C]717[/C][C]672.400770620306[/C][C]44.599229379694[/C][/ROW]
[ROW][C]265[/C][C]637[/C][C]703.278501586371[/C][C]-66.2785015863712[/C][/ROW]
[ROW][C]266[/C][C]857[/C][C]874.61190568271[/C][C]-17.6119056827103[/C][/ROW]
[ROW][C]267[/C][C]830[/C][C]884.323938393414[/C][C]-54.3239383934144[/C][/ROW]
[ROW][C]268[/C][C]652[/C][C]829.911913755353[/C][C]-177.911913755353[/C][/ROW]
[ROW][C]269[/C][C]707[/C][C]821.036937081737[/C][C]-114.036937081737[/C][/ROW]
[ROW][C]270[/C][C]954[/C][C]1041.31223058612[/C][C]-87.3122305861212[/C][/ROW]
[ROW][C]271[/C][C]1461[/C][C]1325.085320476[/C][C]135.914679523995[/C][/ROW]
[ROW][C]272[/C][C]672[/C][C]756.547223829603[/C][C]-84.5472238296032[/C][/ROW]
[ROW][C]273[/C][C]778[/C][C]808.45761174509[/C][C]-30.45761174509[/C][/ROW]
[ROW][C]274[/C][C]1141[/C][C]1163.13778664034[/C][C]-22.1377866403375[/C][/ROW]
[ROW][C]275[/C][C]680[/C][C]643.41857816718[/C][C]36.58142183282[/C][/ROW]
[ROW][C]276[/C][C]1090[/C][C]1031.8517686543[/C][C]58.1482313457034[/C][/ROW]
[ROW][C]277[/C][C]616[/C][C]556.800741891883[/C][C]59.1992581081166[/C][/ROW]
[ROW][C]278[/C][C]285[/C][C]337.796270054653[/C][C]-52.7962700546525[/C][/ROW]
[ROW][C]279[/C][C]1145[/C][C]1048.28255151744[/C][C]96.7174484825583[/C][/ROW]
[ROW][C]280[/C][C]733[/C][C]780.773236160481[/C][C]-47.7732361604811[/C][/ROW]
[ROW][C]281[/C][C]888[/C][C]911.561496998288[/C][C]-23.5614969982878[/C][/ROW]
[ROW][C]282[/C][C]849[/C][C]888.440495109778[/C][C]-39.4404951097777[/C][/ROW]
[ROW][C]283[/C][C]1182[/C][C]1173.71176296485[/C][C]8.28823703514588[/C][/ROW]
[ROW][C]284[/C][C]528[/C][C]572.247881823914[/C][C]-44.2478818239143[/C][/ROW]
[ROW][C]285[/C][C]642[/C][C]724.675227616952[/C][C]-82.6752276169524[/C][/ROW]
[ROW][C]286[/C][C]947[/C][C]577.610814536104[/C][C]369.389185463896[/C][/ROW]
[ROW][C]287[/C][C]819[/C][C]701.968617634402[/C][C]117.031382365598[/C][/ROW]
[ROW][C]288[/C][C]757[/C][C]672.431966316051[/C][C]84.5680336839485[/C][/ROW]
[ROW][C]289[/C][C]894[/C][C]894.506546435864[/C][C]-0.506546435863584[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=191153&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=191153&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
114181312.3191973142105.680802685795
28691046.61876077568-177.618760775681
315301581.4256972705-51.4256972704974
421722504.53767447054-332.537674470538
5901882.08343513161218.9165648683877
6463479.211044465802-16.2110444658018
732013618.19438011378-417.194380113776
8371372.980699226029-1.98069922602937
911921111.2349987707880.7650012292169
1015831594.98850958051-11.9885095805053
1114391345.8476780826893.1523219173149
1217641879.75736306938-115.757363069383
1314951564.3631220226-69.3631220226018
1413731437.2092846928-64.2092846927961
1521872277.96908742951-90.9690874295062
1614911496.8686726247-5.86867262469816
1740413760.91108461805280.088915381951
1817061691.4965183590914.5034816409117
1921522352.03823577688-200.038235776885
2010361119.0523596138-83.0523596137957
2118821768.95545337953113.044546620469
2219291742.29449324686186.705506753136
2322422453.32612987461-211.32612987461
2412201159.9442662404760.0557337595269
2512891298.45767225236-9.45767225235579
2625152576.07419594555-61.074195945548
2721472092.9599584206454.0400415793645
2823522440.88844315395-88.8884431539547
2916381606.99259858131.0074014190013
3012221251.32779000898-29.3277900089757
3118121964.14586717974-152.145867179739
3216771717.64662814581-40.64662814581
3315791534.9116182357944.0883817642124
3417311856.20847567996-125.208475679955
35807846.664269965099-39.6642699650992
3624522519.43711906201-67.4371190620132
37829761.49970001010667.5002999898941
3819402035.37930569393-95.379305693931
3926622460.03124878011201.968751219887
40186216.120483923287-30.1204839232871
4114991446.8483058970852.1516941029198
42865747.309832381895117.690167618105
4317931482.74695519802310.253044801978
4425272548.07867893825-21.0786789382491
4527472963.1579233001-216.157923300102
4613241499.02696663474-175.026966634744
4727022355.21160601873346.788393981267
4813831506.14648545299-123.146485452993
4911791003.80571813486175.194281865136
5020992067.4564367633831.5435632366171
5143084734.3858299297-426.385829929704
52918945.787332082533-27.7873320825333
5318311622.37695987296208.623040127044
5433733044.25385558754328.746144412459
5517131845.24879720723-132.248797207229
5614381360.0522030475677.9477969524413
57496553.219795561551-57.2197955615508
5822532769.13718034442-516.13718034442
59744703.87544042868140.1245595713189
6011611294.23515271291-133.235152712906
6123522112.74324177244239.256758227557
6221441756.86594923199387.134050768009
6346913533.638582924111157.36141707589
6411121063.2523590617948.7476409382074
6526942448.30850622293245.691493777073
6619732268.45832082763-295.458320827628
6717691873.94257573054-104.942575730538
6831482870.27156704541277.728432954586
6924742490.23506650929-16.2350665092926
7020842201.99150378557-117.991503785571
7119541850.38468286591103.615317134089
7212261330.25786164463-104.257861644631
7313891205.5409003407183.459099659299
7414961500.50247038627-4.50247038627024
7522692121.51733792935147.482662070646
7618331896.01529473989-63.0152947398878
7712681450.63935732625-182.639357326254
7819431820.87292256413122.127077435868
798931031.30058922523-138.300589225227
8017621646.41851737852115.58148262148
8114031593.15366542344-190.153665423443
8214251420.178232340174.82176765983242
8318572175.89142946369-318.891429463685
8418401989.13319489503-149.133194895025
8515021488.6125617295113.3874382704936
8614411360.2223806573380.7776193426738
8714201460.38807301526-40.3880730152635
8814161311.47116851888104.528831481124
8929702665.44892478439304.551075215612
9013171660.98164716456-343.981647164564
9116441493.5413686615150.458631338496
928701115.10123385501-245.10123385501
9316541835.09161171659-181.091611716591
9410541017.7085308795836.2914691204181
95937869.57345021468667.4265497853144
9630043266.65142830147-262.651428301468
9720081970.9408756468337.0591243531711
9825472386.22427128949160.775728710507
9918851796.4229036526888.5770963473194
10016261669.71402331552-43.7140233155167
10114681396.2331511953971.7668488046119
10224452325.7910222454119.208977754596
10319642047.82328520596-83.8232852059594
10413811326.5186911457454.4813088542571
10513691370.69789594129-1.69789594128952
10616591775.30477035263-116.304770352627
10728882738.82890623697149.171093763025
10812901031.85469916669258.145300833314
10928452911.67672504-66.6767250399983
11019821961.1193887389220.8806112610784
11119041965.23197752556-61.2319775255577
11213911602.2124527982-211.212452798195
113602629.953020481186-27.9530204811859
11417431670.1386074429472.8613925570603
11515591660.17235679754-101.172356797536
11620142183.97888500822-169.97888500822
11721432265.5394588783-122.539458878303
11821461982.6907190692163.309280930795
119874886.347001988828-12.3470019888283
12015901489.03044419682100.969555803178
12115901425.54509685697164.454903143032
12212101274.42080525653-64.4208052565272
12320722030.3450123566941.6549876433113
12412811400.39175071768-119.391750717683
12514011394.102243445066.89775655493858
126834798.19495867146635.8050413285336
12711051133.78039861596-28.7803986159606
12812721031.51373080809240.486269191913
12919441858.4315371546685.5684628453409
130391421.431058413915-30.4310584139151
131761717.03504489607343.9649551039265
13216051645.07234583113-40.0723458311269
133530642.403406290791-112.403406290791
13419881686.88549010825301.114509891746
13513861413.4989943229-27.4989943229014
13623952576.91193118393-181.911931183928
137387400.881168466609-13.8811684666094
13817421831.48167043431-89.4816704343098
139620553.53776606931566.4622339306847
140449553.849889111908-104.849889111908
141800813.830855453008-13.8308554530076
14216841463.9238098487220.076190151303
14310501084.32092966866-34.3209296686648
14426992673.8084210647125.1915789352896
14516061537.6011128056468.3988871943592
14615021274.26050546264227.739494537355
14712041287.33464115338-83.3346411533781
14811381102.2329562878635.7670437121366
149568801.023407124999-233.023407124999
15014591432.3027622138626.6972377861352
15121582210.94436785937-52.9443678593735
15211111224.04181960524-113.041819605245
15314211309.04430701112111.955692988882
15428333155.41725202898-322.41725202898
15519552199.54838244202-244.548382442017
15629222797.39777691341124.602223086587
15710021142.91295672283-140.912956722833
15810601136.08438175528-76.0843817552778
159956990.263624316245-34.2636243162455
16021862613.07081395798-427.070813957976
16136043405.33602677687198.66397322313
16210351090.58956743968-55.5895674396841
16314171497.71046705945-80.7104670594516
16432613434.13501549086-173.135015490864
16515871624.39893880915-37.3989388091531
16614241438.5215209679-14.5215209679044
16717011791.71552694931-90.7155269493065
16812491365.60965978251-116.609659782511
169946925.71661277476420.2833872252361
17019261793.96081220903132.039187790967
17133523359.38431721983-7.3843172198272
17216411656.33876808793-15.3387680879293
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17722012154.8232504256446.1767495743609
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17919001889.2210515791210.77894842088
18012541268.19888848456-14.198888484564
18113351271.7864571166963.2135428833138
18215971498.1282123095798.8717876904252
183207261.591463588912-54.591463588912
18416451554.6722907887790.3277092112345
18524292385.1824479194143.8175520805866
186151234.333157271308-83.3331572713076
187474652.056222158781-178.056222158781
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18916391368.03151968429270.968480315713
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19210181165.84235742272-147.84235742272
19313831287.319470224295.6805297758043
19413141136.6581014286177.341898571396
19513351370.40034204646-35.4003420464606
19614031349.5708442972353.4291557027733
1979101016.89652177808-106.896521778078
198616683.708097181342-67.7080971813418
19914071472.58974708387-65.5897470838694
200771823.109966588823-52.1099665888226
201766786.563061576784-20.5630615767842
202473514.090091503204-41.0900915032038
20313761450.76598834903-74.7659883490336
20412321225.400178166416.59982183359364
20515211517.899321942383.10067805762443
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2071059914.152392284709144.847607715291
20815441615.36673338281-71.366733382807
20912301231.27111732907-1.27111732907217
21012061261.41325483626-55.4132548362589
21112051140.58121967964.4187803210022
21212551038.39821911629216.60178088371
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214721830.930035459015-109.930035459015
21511091052.9162550682456.0837449317641
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21711261143.4979486867-17.4979486867003
218728825.621553653956-97.6215536539555
219689767.308698387614-78.3086983876139
220592641.440515612159-49.4405156121592
221995945.08455915630649.9154408436945
22216131225.14736517867387.852634821325
22320481781.3281117908266.671888209201
224705646.11622054138258.8837794586184
225301405.319150728201-104.319150728201
22618031753.6968681819949.3031318180116
227799837.89377167053-38.8937716705305
228861975.352024087725-114.352024087725
22911861078.31968325025107.680316749752
23014511146.31527668291304.684723317089
231628588.16330725665839.8366927433425
2321161986.669060531104174.330939468896
23314631382.1602775455480.8397224544611
234742735.5033737760336.49662622396655
2359791066.21198992277-87.2119899227655
236675709.566608175572-34.5666081755719
23712411214.4594952533326.5405047466696
238676660.95248129992715.047518700073
23910491068.01005730391-19.0100573039127
240620689.72195749749-69.7219574974898
2411081992.06306168177188.9369383182291
24216881451.64875431234236.351245687663
243736764.740046742881-28.7400467428812
244617686.249178162056-69.2491781620558
245812877.811494876871-65.8114948768709
24610511053.73002555462-2.73002555461817
24716561435.78349090698220.216509093025
248705806.071485953264-101.071485953264
2499451047.47100535739-102.471005357393
250554647.860443037786-93.8604430377857
25115971619.05936814198-22.059368141979
252982995.076543631989-13.076543631989
253222316.050118957736-94.050118957736
25412121232.41523006413-20.4152300641347
25511431229.71757517799-86.7175751779901
256435524.593850280201-89.5938502802013
257532558.454431780166-26.4544317801657
258882963.523861550712-81.5238615507125
259608630.154557786279-22.1545577862794
260459473.695533926547-14.6955339265469
261578614.835068084411-36.8350680844105
262826813.50247686621212.4975231337884
263509459.75806823661749.2419317633835
264717672.40077062030644.599229379694
265637703.278501586371-66.2785015863712
266857874.61190568271-17.6119056827103
267830884.323938393414-54.3239383934144
268652829.911913755353-177.911913755353
269707821.036937081737-114.036937081737
2709541041.31223058612-87.3122305861212
27114611325.085320476135.914679523995
272672756.547223829603-84.5472238296032
273778808.45761174509-30.45761174509
27411411163.13778664034-22.1377866403375
275680643.4185781671836.58142183282
27610901031.851768654358.1482313457034
277616556.80074189188359.1992581081166
278285337.796270054653-52.7962700546525
27911451048.2825515174496.7174484825583
280733780.773236160481-47.7732361604811
281888911.561496998288-23.5614969982878
282849888.440495109778-39.4404951097777
28311821173.711762964858.28823703514588
284528572.247881823914-44.2478818239143
285642724.675227616952-82.6752276169524
286947577.610814536104369.389185463896
287819701.968617634402117.031382365598
288757672.43196631605184.5680336839485
289894894.506546435864-0.506546435863584







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
190.6097349152338070.7805301695323850.390265084766193
200.9101511626691850.1796976746616310.0898488373308153
210.8478361238852410.3043277522295190.152163876114759
220.8502499063254790.2995001873490410.149750093674521
230.7954620590553240.4090758818893530.204537940944676
240.7143188165387730.5713623669224540.285681183461227
250.7279995525935180.5440008948129640.272000447406482
260.663618636034260.6727627279314790.33638136396574
270.6786037278755450.642792544248910.321396272124455
280.6174742808278990.7650514383442020.382525719172101
290.5822041685596570.8355916628806860.417795831440343
300.502740062784810.994519874430380.49725993721519
310.5486956311533890.9026087376932220.451304368846611
320.4899688758845280.9799377517690560.510031124115472
330.460304002337950.9206080046758990.53969599766205
340.4645092257005360.9290184514010720.535490774299464
350.411655057970270.823310115940540.58834494202973
360.348622071318760.697244142637520.65137792868124
370.3038440726777180.6076881453554370.696155927322282
380.2513633161827160.5027266323654320.748636683817284
390.2644877810722360.5289755621444720.735512218927764
400.2241040127665130.4482080255330260.775895987233487
410.1832961961037640.3665923922075270.816703803896236
420.1667141245035580.3334282490071160.833285875496442
430.2293552245371950.4587104490743910.770644775462805
440.186877139544960.373754279089920.81312286045504
450.1765145738602410.3530291477204830.823485426139759
460.1896127695152210.3792255390304430.810387230484779
470.2870333869424570.5740667738849130.712966613057543
480.2736485567030070.5472971134060150.726351443296993
490.2593176721249240.5186353442498490.740682327875076
500.2446404579933410.4892809159866830.755359542006659
510.4080926461974930.8161852923949860.591907353802507
520.3660700749189230.7321401498378460.633929925081077
530.3869354152282060.7738708304564110.613064584771794
540.7802244184497950.439551163100410.219775581550205
550.7570846014270530.4858307971458930.242915398572947
560.7245042954486840.5509914091026330.275495704551317
570.6934704989962940.6130590020074120.306529501003706
580.9122813128229960.1754373743540080.087718687177004
590.8931892012454790.2136215975090410.106810798754521
600.8809374669115220.2381250661769560.119062533088478
610.904641010206450.1907179795871010.0953589897935504
620.9663053751336430.0673892497327130.0336946248663565
630.9999999997767874.46426553522574e-102.23213276761287e-10
640.9999999996061397.87721493855222e-103.93860746927611e-10
650.999999999918121.63759522919001e-108.18797614595003e-11
660.9999999999897072.05858883194908e-111.02929441597454e-11
670.9999999999843373.13269905363242e-111.56634952681621e-11
680.9999999999946781.06444145686356e-115.3222072843178e-12
690.9999999999895462.09082409108493e-111.04541204554246e-11
700.9999999999839423.21162148027611e-111.60581074013806e-11
710.999999999979374.12610573378045e-112.06305286689023e-11
720.999999999965926.81603292871729e-113.40801646435864e-11
730.9999999999735295.2941870088464e-112.6470935044232e-11
740.999999999959128.17599636233596e-114.08799818116798e-11
750.9999999999699146.01720050074688e-113.00860025037344e-11
760.9999999999544119.11776584939684e-114.55888292469842e-11
770.9999999999578888.42233434592642e-114.21116717296321e-11
780.9999999999586368.27285584742397e-114.13642792371198e-11
790.9999999999461661.07668517656943e-105.38342588284716e-11
800.9999999999344821.31035861563243e-106.55179307816216e-11
810.9999999999440991.11802121616394e-105.59010608081971e-11
820.9999999998977132.04574663643384e-101.02287331821692e-10
830.9999999999766074.67858146612866e-112.33929073306433e-11
840.9999999999740965.18077274206435e-112.59038637103217e-11
850.9999999999625857.4830664769511e-113.74153323847555e-11
860.9999999999426091.14781957370276e-105.73909786851378e-11
870.9999999998972132.05573071605435e-101.02786535802717e-10
880.9999999998579822.84035844895048e-101.42017922447524e-10
890.9999999999750784.98446758208077e-112.49223379104039e-11
900.9999999999902781.94445164182075e-119.72225820910375e-12
910.99999999999617.80003171259274e-123.90001585629637e-12
920.999999999996946.12071406068122e-123.06035703034061e-12
930.999999999997415.1805541751728e-122.5902770875864e-12
940.9999999999969796.04269488490354e-123.02134744245177e-12
950.999999999996027.96051201739909e-123.98025600869954e-12
960.9999999999985942.81146818935902e-121.40573409467951e-12
970.9999999999978044.39233585667344e-122.19616792833672e-12
980.9999999999983643.27222169691699e-121.63611084845849e-12
990.999999999997634.74029151671108e-122.37014575835554e-12
1000.9999999999961557.68954248458288e-123.84477124229144e-12
1010.9999999999945161.09684328259758e-115.48421641298788e-12
1020.999999999993941.21192411294156e-116.05962056470781e-12
1030.9999999999922891.542120548473e-117.71060274236499e-12
1040.9999999999869342.61322404430551e-111.30661202215275e-11
1050.99999999997614.78001441338714e-112.39000720669357e-11
1060.9999999999679316.41374003004301e-113.2068700150215e-11
1070.9999999999746355.07296093446875e-112.53648046723437e-11
1080.9999999999901561.96880195689114e-119.84400978445569e-12
1090.9999999999837973.24064348082307e-111.62032174041154e-11
1100.9999999999716575.66852019968387e-112.83426009984194e-11
1110.9999999999520279.59452711342277e-114.79726355671138e-11
1120.9999999999686976.26063092478141e-113.1303154623907e-11
1130.9999999999446921.10615962898596e-105.5307981449298e-11
1140.9999999999152951.69409598497837e-108.47047992489185e-11
1150.9999999998977582.04484865110524e-101.02242432555262e-10
1160.9999999999463591.07282664479826e-105.3641332239913e-11
1170.9999999999221791.55641906634923e-107.78209533174615e-11
1180.9999999999259091.48181547544088e-107.40907737720442e-11
1190.9999999998690422.61915925847757e-101.30957962923879e-10
1200.9999999998338233.32354089775438e-101.66177044887719e-10
1210.999999999820813.58380415809649e-101.79190207904825e-10
1220.9999999996956656.08669580516063e-103.04334790258032e-10
1230.9999999995223199.55362253532274e-104.77681126766137e-10
1240.999999999305761.38847926036074e-096.94239630180372e-10
1250.9999999988170552.36589087946886e-091.18294543973443e-09
1260.9999999981109683.77806381612317e-091.88903190806159e-09
1270.9999999968170626.36587607813353e-093.18293803906676e-09
1280.9999999984713943.05721131242021e-091.52860565621011e-09
1290.9999999979611854.07762908414599e-092.03881454207299e-09
1300.9999999965863586.82728367370303e-093.41364183685152e-09
1310.9999999944538731.10922545069938e-085.54612725349692e-09
1320.9999999910521631.78956732042077e-088.94783660210383e-09
1330.9999999873615642.52768717921684e-081.26384358960842e-08
1340.9999999967294636.54107368898084e-093.27053684449042e-09
1350.999999998738242.52351962746881e-091.26175981373441e-09
1360.9999999991592431.68151340541669e-098.40756702708344e-10
1370.9999999985624332.87513438504852e-091.43756719252426e-09
1380.9999999981527833.69443392261795e-091.84721696130897e-09
1390.9999999974562595.08748240470233e-092.54374120235117e-09
1400.9999999964574347.0851321638131e-093.54256608190655e-09
1410.9999999939922031.20155936146007e-086.00779680730034e-09
1420.9999999965968026.80639634476093e-093.40319817238046e-09
1430.999999994354761.12904808128443e-085.64524040642213e-09
1440.9999999912242111.75515775706265e-088.77578878531327e-09
1450.9999999862934742.74130525014556e-081.37065262507278e-08
1460.9999999943774631.12450737925371e-085.62253689626856e-09
1470.9999999921561641.56876718076878e-087.84383590384389e-09
1480.9999999869254062.6149186948968e-081.3074593474484e-08
1490.9999999916600681.66798640924412e-088.33993204622061e-09
1500.9999999864588582.70822841981158e-081.35411420990579e-08
1510.9999999787697544.24604915752425e-082.12302457876213e-08
1520.999999970490715.90185800779377e-082.95092900389689e-08
1530.9999999702132425.95735165732614e-082.97867582866307e-08
1540.9999999959554888.08902486604801e-094.04451243302401e-09
1550.9999999982213783.55724375510824e-091.77862187755412e-09
1560.9999999975116154.97676950540533e-092.48838475270267e-09
1570.9999999974216875.15662579436484e-092.57831289718242e-09
1580.9999999967019146.59617235671367e-093.29808617835683e-09
1590.9999999944063091.11873814845115e-085.59369074225577e-09
1600.9999999999158981.682035564827e-108.41017782413501e-11
1610.9999999999084851.83030947910162e-109.15154739550812e-11
1620.9999999998834632.33073591390734e-101.16536795695367e-10
1630.9999999998116563.766884823369e-101.8834424116845e-10
1640.9999999999468031.06394316671346e-105.31971583356728e-11
1650.9999999999216511.5669782191449e-107.83489109572451e-11
1660.9999999998693642.61271317084547e-101.30635658542273e-10
1670.9999999998717332.56533865392443e-101.28266932696222e-10
1680.9999999998549562.90088438410404e-101.45044219205202e-10
1690.9999999997351185.29764172537903e-102.64882086268951e-10
1700.9999999996626436.74714897436734e-103.37357448718367e-10
1710.9999999998040813.91836949153573e-101.95918474576786e-10
1720.999999999655486.89039901653725e-103.44519950826863e-10
1730.9999999998866442.26712603408769e-101.13356301704385e-10
1740.999999999826963.46079096469899e-101.7303954823495e-10
1750.999999999982173.56605064023857e-111.78302532011929e-11
1760.9999999999665566.68882789253179e-113.3444139462659e-11
1770.9999999999636327.27352280587293e-113.63676140293647e-11
1780.9999999999316041.36791605728198e-106.83958028640989e-11
1790.9999999999268451.46309989211079e-107.31549946055397e-11
1800.9999999998605392.7892239859395e-101.39461199296975e-10
1810.9999999997437585.1248426830301e-102.56242134151505e-10
1820.9999999995575338.84933084024782e-104.42466542012391e-10
1830.9999999992149911.57001770971769e-097.85008854858845e-10
1840.9999999986777432.64451418565563e-091.32225709282781e-09
1850.9999999994536761.09264778517864e-095.46323892589319e-10
1860.9999999990248551.95028987798567e-099.75144938992834e-10
1870.9999999990906191.81876281454045e-099.09381407270226e-10
1880.9999999983552573.28948530399463e-091.64474265199731e-09
1890.9999999993329021.33419618480002e-096.67098092400008e-10
1900.9999999988438252.31235078400659e-091.15617539200329e-09
1910.9999999979144234.17115378926223e-092.08557689463111e-09
1920.9999999969135296.1729423148071e-093.08647115740355e-09
1930.9999999946453091.07093823844723e-085.35469119223616e-09
1940.9999999922309361.5538127025611e-087.76906351280552e-09
1950.9999999858026082.83947842549211e-081.41973921274606e-08
1960.9999999767661814.64676380153608e-082.32338190076804e-08
1970.9999999626158997.47682025118337e-083.73841012559169e-08
1980.9999999349205881.30158824757495e-076.50794123787473e-08
1990.9999999284303391.43139321159906e-077.15696605799528e-08
2000.9999998745747482.50850504469775e-071.25425252234887e-07
2010.9999998019314153.96137168961323e-071.98068584480661e-07
2020.9999996574498366.85100328562304e-073.42550164281152e-07
2030.999999459041581.08191684077498e-065.40958420387491e-07
2040.9999991662589691.66748206186333e-068.33741030931666e-07
2050.9999988992794952.20144101063869e-061.10072050531934e-06
2060.9999981674472223.66510555554168e-061.83255277777084e-06
2070.9999981646178713.670764258299e-061.8353821291495e-06
2080.9999977583883194.48322336242143e-062.24161168121072e-06
2090.9999963158212567.36835748762156e-063.68417874381078e-06
2100.9999949879874211.00240251571142e-055.01201257855712e-06
2110.9999919396819391.61206361215005e-058.06031806075024e-06
2120.9999962321224147.53575517188184e-063.76787758594092e-06
2130.9999935785392761.28429214483341e-056.42146072416706e-06
2140.9999940379207221.19241585560316e-055.96207927801579e-06
2150.9999916813539961.66372920084161e-058.31864600420805e-06
2160.9999860480194332.79039611338505e-051.39519805669252e-05
2170.999981295545283.74089094409241e-051.87044547204621e-05
2180.9999921252612191.57494775619586e-057.87473878097931e-06
2190.9999886394208112.27211583782488e-051.13605791891244e-05
2200.9999807383269083.8523346184354e-051.9261673092177e-05
2210.9999696660228266.06679543476172e-053.03339771738086e-05
2220.9999752432546714.95134906575931e-052.47567453287966e-05
2230.9999792915695234.14168609539036e-052.07084304769518e-05
2240.9999664163404876.71673190264953e-053.35836595132477e-05
2250.9999548096257169.03807485685158e-054.51903742842579e-05
2260.9999249157673110.0001501684653779887.50842326889938e-05
2270.9998818778167760.0002362443664477280.000118122183223864
2280.9998439303985960.0003121392028086050.000156069601404302
2290.9998613632796120.0002772734407769010.000138636720388451
2300.9999750560771814.98878456381743e-052.49439228190872e-05
2310.9999612025624147.75948751709906e-053.87974375854953e-05
2320.9999765218190614.69563618772996e-052.34781809386498e-05
2330.9999697274590566.05450818880151e-053.02725409440075e-05
2340.9999479072655880.0001041854688232155.20927344116075e-05
2350.9999549231879959.01536240093993e-054.50768120046997e-05
2360.9999231587490280.0001536825019438337.68412509719164e-05
2370.9998640483674490.0002719032651021670.000135951632551083
2380.9997862815167310.0004274369665383780.000213718483269189
2390.9996378898548940.0007242202902130170.000362110145106509
2400.9994932338433820.001013532313235290.000506766156617645
2410.9992382270633750.001523545873250380.00076177293662519
2420.9997743172858560.0004513654282878550.000225682714143928
2430.9995975614029290.0008048771941423930.000402438597071196
2440.9994134813880060.001173037223988560.000586518611994279
2450.9990196240600640.001960751879871930.000980375939935964
2460.9988675239796160.002264952040768710.00113247602038435
2470.9997718915253180.0004562169493648710.000228108474682435
2480.9996267766640540.0007464466718916520.000373223335945826
2490.9993582089886330.001283582022734260.00064179101136713
2500.9988927523000030.002214495399994340.00110724769999717
2510.998236405943290.003527188113419930.00176359405670997
2520.997012728705320.005974542589359040.00298727129467952
2530.9950613835236670.009877232952665230.00493861647633262
2540.9917513456305970.01649730873880690.00824865436940344
2550.9870703672135530.02585926557289460.0129296327864473
2560.9799642544466060.04007149110678850.0200357455533943
2570.9676783913713750.06464321725725010.0323216086286251
2580.9530894521515660.09382109569686730.0469105478484336
2590.927918828503830.144162342992340.0720811714961701
2600.8945529583445460.2108940833109080.105447041655454
2610.9176723671596210.1646552656807580.0823276328403791
2620.8903886260378650.219222747924270.109611373962135
2630.8691392681751820.2617214636496370.130860731824818
2640.805168790970970.389662418058060.19483120902903
2650.7336358854102270.5327282291795460.266364114589773
2660.6318553184271530.7362893631456940.368144681572847
2670.536034124867810.927931750264380.46396587513219
2680.6835449935755610.6329100128488770.316455006424439
2690.6200320928920580.7599358142158850.379967907107942
2700.8081900977600310.3836198044799380.191809902239969

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
19 & 0.609734915233807 & 0.780530169532385 & 0.390265084766193 \tabularnewline
20 & 0.910151162669185 & 0.179697674661631 & 0.0898488373308153 \tabularnewline
21 & 0.847836123885241 & 0.304327752229519 & 0.152163876114759 \tabularnewline
22 & 0.850249906325479 & 0.299500187349041 & 0.149750093674521 \tabularnewline
23 & 0.795462059055324 & 0.409075881889353 & 0.204537940944676 \tabularnewline
24 & 0.714318816538773 & 0.571362366922454 & 0.285681183461227 \tabularnewline
25 & 0.727999552593518 & 0.544000894812964 & 0.272000447406482 \tabularnewline
26 & 0.66361863603426 & 0.672762727931479 & 0.33638136396574 \tabularnewline
27 & 0.678603727875545 & 0.64279254424891 & 0.321396272124455 \tabularnewline
28 & 0.617474280827899 & 0.765051438344202 & 0.382525719172101 \tabularnewline
29 & 0.582204168559657 & 0.835591662880686 & 0.417795831440343 \tabularnewline
30 & 0.50274006278481 & 0.99451987443038 & 0.49725993721519 \tabularnewline
31 & 0.548695631153389 & 0.902608737693222 & 0.451304368846611 \tabularnewline
32 & 0.489968875884528 & 0.979937751769056 & 0.510031124115472 \tabularnewline
33 & 0.46030400233795 & 0.920608004675899 & 0.53969599766205 \tabularnewline
34 & 0.464509225700536 & 0.929018451401072 & 0.535490774299464 \tabularnewline
35 & 0.41165505797027 & 0.82331011594054 & 0.58834494202973 \tabularnewline
36 & 0.34862207131876 & 0.69724414263752 & 0.65137792868124 \tabularnewline
37 & 0.303844072677718 & 0.607688145355437 & 0.696155927322282 \tabularnewline
38 & 0.251363316182716 & 0.502726632365432 & 0.748636683817284 \tabularnewline
39 & 0.264487781072236 & 0.528975562144472 & 0.735512218927764 \tabularnewline
40 & 0.224104012766513 & 0.448208025533026 & 0.775895987233487 \tabularnewline
41 & 0.183296196103764 & 0.366592392207527 & 0.816703803896236 \tabularnewline
42 & 0.166714124503558 & 0.333428249007116 & 0.833285875496442 \tabularnewline
43 & 0.229355224537195 & 0.458710449074391 & 0.770644775462805 \tabularnewline
44 & 0.18687713954496 & 0.37375427908992 & 0.81312286045504 \tabularnewline
45 & 0.176514573860241 & 0.353029147720483 & 0.823485426139759 \tabularnewline
46 & 0.189612769515221 & 0.379225539030443 & 0.810387230484779 \tabularnewline
47 & 0.287033386942457 & 0.574066773884913 & 0.712966613057543 \tabularnewline
48 & 0.273648556703007 & 0.547297113406015 & 0.726351443296993 \tabularnewline
49 & 0.259317672124924 & 0.518635344249849 & 0.740682327875076 \tabularnewline
50 & 0.244640457993341 & 0.489280915986683 & 0.755359542006659 \tabularnewline
51 & 0.408092646197493 & 0.816185292394986 & 0.591907353802507 \tabularnewline
52 & 0.366070074918923 & 0.732140149837846 & 0.633929925081077 \tabularnewline
53 & 0.386935415228206 & 0.773870830456411 & 0.613064584771794 \tabularnewline
54 & 0.780224418449795 & 0.43955116310041 & 0.219775581550205 \tabularnewline
55 & 0.757084601427053 & 0.485830797145893 & 0.242915398572947 \tabularnewline
56 & 0.724504295448684 & 0.550991409102633 & 0.275495704551317 \tabularnewline
57 & 0.693470498996294 & 0.613059002007412 & 0.306529501003706 \tabularnewline
58 & 0.912281312822996 & 0.175437374354008 & 0.087718687177004 \tabularnewline
59 & 0.893189201245479 & 0.213621597509041 & 0.106810798754521 \tabularnewline
60 & 0.880937466911522 & 0.238125066176956 & 0.119062533088478 \tabularnewline
61 & 0.90464101020645 & 0.190717979587101 & 0.0953589897935504 \tabularnewline
62 & 0.966305375133643 & 0.067389249732713 & 0.0336946248663565 \tabularnewline
63 & 0.999999999776787 & 4.46426553522574e-10 & 2.23213276761287e-10 \tabularnewline
64 & 0.999999999606139 & 7.87721493855222e-10 & 3.93860746927611e-10 \tabularnewline
65 & 0.99999999991812 & 1.63759522919001e-10 & 8.18797614595003e-11 \tabularnewline
66 & 0.999999999989707 & 2.05858883194908e-11 & 1.02929441597454e-11 \tabularnewline
67 & 0.999999999984337 & 3.13269905363242e-11 & 1.56634952681621e-11 \tabularnewline
68 & 0.999999999994678 & 1.06444145686356e-11 & 5.3222072843178e-12 \tabularnewline
69 & 0.999999999989546 & 2.09082409108493e-11 & 1.04541204554246e-11 \tabularnewline
70 & 0.999999999983942 & 3.21162148027611e-11 & 1.60581074013806e-11 \tabularnewline
71 & 0.99999999997937 & 4.12610573378045e-11 & 2.06305286689023e-11 \tabularnewline
72 & 0.99999999996592 & 6.81603292871729e-11 & 3.40801646435864e-11 \tabularnewline
73 & 0.999999999973529 & 5.2941870088464e-11 & 2.6470935044232e-11 \tabularnewline
74 & 0.99999999995912 & 8.17599636233596e-11 & 4.08799818116798e-11 \tabularnewline
75 & 0.999999999969914 & 6.01720050074688e-11 & 3.00860025037344e-11 \tabularnewline
76 & 0.999999999954411 & 9.11776584939684e-11 & 4.55888292469842e-11 \tabularnewline
77 & 0.999999999957888 & 8.42233434592642e-11 & 4.21116717296321e-11 \tabularnewline
78 & 0.999999999958636 & 8.27285584742397e-11 & 4.13642792371198e-11 \tabularnewline
79 & 0.999999999946166 & 1.07668517656943e-10 & 5.38342588284716e-11 \tabularnewline
80 & 0.999999999934482 & 1.31035861563243e-10 & 6.55179307816216e-11 \tabularnewline
81 & 0.999999999944099 & 1.11802121616394e-10 & 5.59010608081971e-11 \tabularnewline
82 & 0.999999999897713 & 2.04574663643384e-10 & 1.02287331821692e-10 \tabularnewline
83 & 0.999999999976607 & 4.67858146612866e-11 & 2.33929073306433e-11 \tabularnewline
84 & 0.999999999974096 & 5.18077274206435e-11 & 2.59038637103217e-11 \tabularnewline
85 & 0.999999999962585 & 7.4830664769511e-11 & 3.74153323847555e-11 \tabularnewline
86 & 0.999999999942609 & 1.14781957370276e-10 & 5.73909786851378e-11 \tabularnewline
87 & 0.999999999897213 & 2.05573071605435e-10 & 1.02786535802717e-10 \tabularnewline
88 & 0.999999999857982 & 2.84035844895048e-10 & 1.42017922447524e-10 \tabularnewline
89 & 0.999999999975078 & 4.98446758208077e-11 & 2.49223379104039e-11 \tabularnewline
90 & 0.999999999990278 & 1.94445164182075e-11 & 9.72225820910375e-12 \tabularnewline
91 & 0.9999999999961 & 7.80003171259274e-12 & 3.90001585629637e-12 \tabularnewline
92 & 0.99999999999694 & 6.12071406068122e-12 & 3.06035703034061e-12 \tabularnewline
93 & 0.99999999999741 & 5.1805541751728e-12 & 2.5902770875864e-12 \tabularnewline
94 & 0.999999999996979 & 6.04269488490354e-12 & 3.02134744245177e-12 \tabularnewline
95 & 0.99999999999602 & 7.96051201739909e-12 & 3.98025600869954e-12 \tabularnewline
96 & 0.999999999998594 & 2.81146818935902e-12 & 1.40573409467951e-12 \tabularnewline
97 & 0.999999999997804 & 4.39233585667344e-12 & 2.19616792833672e-12 \tabularnewline
98 & 0.999999999998364 & 3.27222169691699e-12 & 1.63611084845849e-12 \tabularnewline
99 & 0.99999999999763 & 4.74029151671108e-12 & 2.37014575835554e-12 \tabularnewline
100 & 0.999999999996155 & 7.68954248458288e-12 & 3.84477124229144e-12 \tabularnewline
101 & 0.999999999994516 & 1.09684328259758e-11 & 5.48421641298788e-12 \tabularnewline
102 & 0.99999999999394 & 1.21192411294156e-11 & 6.05962056470781e-12 \tabularnewline
103 & 0.999999999992289 & 1.542120548473e-11 & 7.71060274236499e-12 \tabularnewline
104 & 0.999999999986934 & 2.61322404430551e-11 & 1.30661202215275e-11 \tabularnewline
105 & 0.9999999999761 & 4.78001441338714e-11 & 2.39000720669357e-11 \tabularnewline
106 & 0.999999999967931 & 6.41374003004301e-11 & 3.2068700150215e-11 \tabularnewline
107 & 0.999999999974635 & 5.07296093446875e-11 & 2.53648046723437e-11 \tabularnewline
108 & 0.999999999990156 & 1.96880195689114e-11 & 9.84400978445569e-12 \tabularnewline
109 & 0.999999999983797 & 3.24064348082307e-11 & 1.62032174041154e-11 \tabularnewline
110 & 0.999999999971657 & 5.66852019968387e-11 & 2.83426009984194e-11 \tabularnewline
111 & 0.999999999952027 & 9.59452711342277e-11 & 4.79726355671138e-11 \tabularnewline
112 & 0.999999999968697 & 6.26063092478141e-11 & 3.1303154623907e-11 \tabularnewline
113 & 0.999999999944692 & 1.10615962898596e-10 & 5.5307981449298e-11 \tabularnewline
114 & 0.999999999915295 & 1.69409598497837e-10 & 8.47047992489185e-11 \tabularnewline
115 & 0.999999999897758 & 2.04484865110524e-10 & 1.02242432555262e-10 \tabularnewline
116 & 0.999999999946359 & 1.07282664479826e-10 & 5.3641332239913e-11 \tabularnewline
117 & 0.999999999922179 & 1.55641906634923e-10 & 7.78209533174615e-11 \tabularnewline
118 & 0.999999999925909 & 1.48181547544088e-10 & 7.40907737720442e-11 \tabularnewline
119 & 0.999999999869042 & 2.61915925847757e-10 & 1.30957962923879e-10 \tabularnewline
120 & 0.999999999833823 & 3.32354089775438e-10 & 1.66177044887719e-10 \tabularnewline
121 & 0.99999999982081 & 3.58380415809649e-10 & 1.79190207904825e-10 \tabularnewline
122 & 0.999999999695665 & 6.08669580516063e-10 & 3.04334790258032e-10 \tabularnewline
123 & 0.999999999522319 & 9.55362253532274e-10 & 4.77681126766137e-10 \tabularnewline
124 & 0.99999999930576 & 1.38847926036074e-09 & 6.94239630180372e-10 \tabularnewline
125 & 0.999999998817055 & 2.36589087946886e-09 & 1.18294543973443e-09 \tabularnewline
126 & 0.999999998110968 & 3.77806381612317e-09 & 1.88903190806159e-09 \tabularnewline
127 & 0.999999996817062 & 6.36587607813353e-09 & 3.18293803906676e-09 \tabularnewline
128 & 0.999999998471394 & 3.05721131242021e-09 & 1.52860565621011e-09 \tabularnewline
129 & 0.999999997961185 & 4.07762908414599e-09 & 2.03881454207299e-09 \tabularnewline
130 & 0.999999996586358 & 6.82728367370303e-09 & 3.41364183685152e-09 \tabularnewline
131 & 0.999999994453873 & 1.10922545069938e-08 & 5.54612725349692e-09 \tabularnewline
132 & 0.999999991052163 & 1.78956732042077e-08 & 8.94783660210383e-09 \tabularnewline
133 & 0.999999987361564 & 2.52768717921684e-08 & 1.26384358960842e-08 \tabularnewline
134 & 0.999999996729463 & 6.54107368898084e-09 & 3.27053684449042e-09 \tabularnewline
135 & 0.99999999873824 & 2.52351962746881e-09 & 1.26175981373441e-09 \tabularnewline
136 & 0.999999999159243 & 1.68151340541669e-09 & 8.40756702708344e-10 \tabularnewline
137 & 0.999999998562433 & 2.87513438504852e-09 & 1.43756719252426e-09 \tabularnewline
138 & 0.999999998152783 & 3.69443392261795e-09 & 1.84721696130897e-09 \tabularnewline
139 & 0.999999997456259 & 5.08748240470233e-09 & 2.54374120235117e-09 \tabularnewline
140 & 0.999999996457434 & 7.0851321638131e-09 & 3.54256608190655e-09 \tabularnewline
141 & 0.999999993992203 & 1.20155936146007e-08 & 6.00779680730034e-09 \tabularnewline
142 & 0.999999996596802 & 6.80639634476093e-09 & 3.40319817238046e-09 \tabularnewline
143 & 0.99999999435476 & 1.12904808128443e-08 & 5.64524040642213e-09 \tabularnewline
144 & 0.999999991224211 & 1.75515775706265e-08 & 8.77578878531327e-09 \tabularnewline
145 & 0.999999986293474 & 2.74130525014556e-08 & 1.37065262507278e-08 \tabularnewline
146 & 0.999999994377463 & 1.12450737925371e-08 & 5.62253689626856e-09 \tabularnewline
147 & 0.999999992156164 & 1.56876718076878e-08 & 7.84383590384389e-09 \tabularnewline
148 & 0.999999986925406 & 2.6149186948968e-08 & 1.3074593474484e-08 \tabularnewline
149 & 0.999999991660068 & 1.66798640924412e-08 & 8.33993204622061e-09 \tabularnewline
150 & 0.999999986458858 & 2.70822841981158e-08 & 1.35411420990579e-08 \tabularnewline
151 & 0.999999978769754 & 4.24604915752425e-08 & 2.12302457876213e-08 \tabularnewline
152 & 0.99999997049071 & 5.90185800779377e-08 & 2.95092900389689e-08 \tabularnewline
153 & 0.999999970213242 & 5.95735165732614e-08 & 2.97867582866307e-08 \tabularnewline
154 & 0.999999995955488 & 8.08902486604801e-09 & 4.04451243302401e-09 \tabularnewline
155 & 0.999999998221378 & 3.55724375510824e-09 & 1.77862187755412e-09 \tabularnewline
156 & 0.999999997511615 & 4.97676950540533e-09 & 2.48838475270267e-09 \tabularnewline
157 & 0.999999997421687 & 5.15662579436484e-09 & 2.57831289718242e-09 \tabularnewline
158 & 0.999999996701914 & 6.59617235671367e-09 & 3.29808617835683e-09 \tabularnewline
159 & 0.999999994406309 & 1.11873814845115e-08 & 5.59369074225577e-09 \tabularnewline
160 & 0.999999999915898 & 1.682035564827e-10 & 8.41017782413501e-11 \tabularnewline
161 & 0.999999999908485 & 1.83030947910162e-10 & 9.15154739550812e-11 \tabularnewline
162 & 0.999999999883463 & 2.33073591390734e-10 & 1.16536795695367e-10 \tabularnewline
163 & 0.999999999811656 & 3.766884823369e-10 & 1.8834424116845e-10 \tabularnewline
164 & 0.999999999946803 & 1.06394316671346e-10 & 5.31971583356728e-11 \tabularnewline
165 & 0.999999999921651 & 1.5669782191449e-10 & 7.83489109572451e-11 \tabularnewline
166 & 0.999999999869364 & 2.61271317084547e-10 & 1.30635658542273e-10 \tabularnewline
167 & 0.999999999871733 & 2.56533865392443e-10 & 1.28266932696222e-10 \tabularnewline
168 & 0.999999999854956 & 2.90088438410404e-10 & 1.45044219205202e-10 \tabularnewline
169 & 0.999999999735118 & 5.29764172537903e-10 & 2.64882086268951e-10 \tabularnewline
170 & 0.999999999662643 & 6.74714897436734e-10 & 3.37357448718367e-10 \tabularnewline
171 & 0.999999999804081 & 3.91836949153573e-10 & 1.95918474576786e-10 \tabularnewline
172 & 0.99999999965548 & 6.89039901653725e-10 & 3.44519950826863e-10 \tabularnewline
173 & 0.999999999886644 & 2.26712603408769e-10 & 1.13356301704385e-10 \tabularnewline
174 & 0.99999999982696 & 3.46079096469899e-10 & 1.7303954823495e-10 \tabularnewline
175 & 0.99999999998217 & 3.56605064023857e-11 & 1.78302532011929e-11 \tabularnewline
176 & 0.999999999966556 & 6.68882789253179e-11 & 3.3444139462659e-11 \tabularnewline
177 & 0.999999999963632 & 7.27352280587293e-11 & 3.63676140293647e-11 \tabularnewline
178 & 0.999999999931604 & 1.36791605728198e-10 & 6.83958028640989e-11 \tabularnewline
179 & 0.999999999926845 & 1.46309989211079e-10 & 7.31549946055397e-11 \tabularnewline
180 & 0.999999999860539 & 2.7892239859395e-10 & 1.39461199296975e-10 \tabularnewline
181 & 0.999999999743758 & 5.1248426830301e-10 & 2.56242134151505e-10 \tabularnewline
182 & 0.999999999557533 & 8.84933084024782e-10 & 4.42466542012391e-10 \tabularnewline
183 & 0.999999999214991 & 1.57001770971769e-09 & 7.85008854858845e-10 \tabularnewline
184 & 0.999999998677743 & 2.64451418565563e-09 & 1.32225709282781e-09 \tabularnewline
185 & 0.999999999453676 & 1.09264778517864e-09 & 5.46323892589319e-10 \tabularnewline
186 & 0.999999999024855 & 1.95028987798567e-09 & 9.75144938992834e-10 \tabularnewline
187 & 0.999999999090619 & 1.81876281454045e-09 & 9.09381407270226e-10 \tabularnewline
188 & 0.999999998355257 & 3.28948530399463e-09 & 1.64474265199731e-09 \tabularnewline
189 & 0.999999999332902 & 1.33419618480002e-09 & 6.67098092400008e-10 \tabularnewline
190 & 0.999999998843825 & 2.31235078400659e-09 & 1.15617539200329e-09 \tabularnewline
191 & 0.999999997914423 & 4.17115378926223e-09 & 2.08557689463111e-09 \tabularnewline
192 & 0.999999996913529 & 6.1729423148071e-09 & 3.08647115740355e-09 \tabularnewline
193 & 0.999999994645309 & 1.07093823844723e-08 & 5.35469119223616e-09 \tabularnewline
194 & 0.999999992230936 & 1.5538127025611e-08 & 7.76906351280552e-09 \tabularnewline
195 & 0.999999985802608 & 2.83947842549211e-08 & 1.41973921274606e-08 \tabularnewline
196 & 0.999999976766181 & 4.64676380153608e-08 & 2.32338190076804e-08 \tabularnewline
197 & 0.999999962615899 & 7.47682025118337e-08 & 3.73841012559169e-08 \tabularnewline
198 & 0.999999934920588 & 1.30158824757495e-07 & 6.50794123787473e-08 \tabularnewline
199 & 0.999999928430339 & 1.43139321159906e-07 & 7.15696605799528e-08 \tabularnewline
200 & 0.999999874574748 & 2.50850504469775e-07 & 1.25425252234887e-07 \tabularnewline
201 & 0.999999801931415 & 3.96137168961323e-07 & 1.98068584480661e-07 \tabularnewline
202 & 0.999999657449836 & 6.85100328562304e-07 & 3.42550164281152e-07 \tabularnewline
203 & 0.99999945904158 & 1.08191684077498e-06 & 5.40958420387491e-07 \tabularnewline
204 & 0.999999166258969 & 1.66748206186333e-06 & 8.33741030931666e-07 \tabularnewline
205 & 0.999998899279495 & 2.20144101063869e-06 & 1.10072050531934e-06 \tabularnewline
206 & 0.999998167447222 & 3.66510555554168e-06 & 1.83255277777084e-06 \tabularnewline
207 & 0.999998164617871 & 3.670764258299e-06 & 1.8353821291495e-06 \tabularnewline
208 & 0.999997758388319 & 4.48322336242143e-06 & 2.24161168121072e-06 \tabularnewline
209 & 0.999996315821256 & 7.36835748762156e-06 & 3.68417874381078e-06 \tabularnewline
210 & 0.999994987987421 & 1.00240251571142e-05 & 5.01201257855712e-06 \tabularnewline
211 & 0.999991939681939 & 1.61206361215005e-05 & 8.06031806075024e-06 \tabularnewline
212 & 0.999996232122414 & 7.53575517188184e-06 & 3.76787758594092e-06 \tabularnewline
213 & 0.999993578539276 & 1.28429214483341e-05 & 6.42146072416706e-06 \tabularnewline
214 & 0.999994037920722 & 1.19241585560316e-05 & 5.96207927801579e-06 \tabularnewline
215 & 0.999991681353996 & 1.66372920084161e-05 & 8.31864600420805e-06 \tabularnewline
216 & 0.999986048019433 & 2.79039611338505e-05 & 1.39519805669252e-05 \tabularnewline
217 & 0.99998129554528 & 3.74089094409241e-05 & 1.87044547204621e-05 \tabularnewline
218 & 0.999992125261219 & 1.57494775619586e-05 & 7.87473878097931e-06 \tabularnewline
219 & 0.999988639420811 & 2.27211583782488e-05 & 1.13605791891244e-05 \tabularnewline
220 & 0.999980738326908 & 3.8523346184354e-05 & 1.9261673092177e-05 \tabularnewline
221 & 0.999969666022826 & 6.06679543476172e-05 & 3.03339771738086e-05 \tabularnewline
222 & 0.999975243254671 & 4.95134906575931e-05 & 2.47567453287966e-05 \tabularnewline
223 & 0.999979291569523 & 4.14168609539036e-05 & 2.07084304769518e-05 \tabularnewline
224 & 0.999966416340487 & 6.71673190264953e-05 & 3.35836595132477e-05 \tabularnewline
225 & 0.999954809625716 & 9.03807485685158e-05 & 4.51903742842579e-05 \tabularnewline
226 & 0.999924915767311 & 0.000150168465377988 & 7.50842326889938e-05 \tabularnewline
227 & 0.999881877816776 & 0.000236244366447728 & 0.000118122183223864 \tabularnewline
228 & 0.999843930398596 & 0.000312139202808605 & 0.000156069601404302 \tabularnewline
229 & 0.999861363279612 & 0.000277273440776901 & 0.000138636720388451 \tabularnewline
230 & 0.999975056077181 & 4.98878456381743e-05 & 2.49439228190872e-05 \tabularnewline
231 & 0.999961202562414 & 7.75948751709906e-05 & 3.87974375854953e-05 \tabularnewline
232 & 0.999976521819061 & 4.69563618772996e-05 & 2.34781809386498e-05 \tabularnewline
233 & 0.999969727459056 & 6.05450818880151e-05 & 3.02725409440075e-05 \tabularnewline
234 & 0.999947907265588 & 0.000104185468823215 & 5.20927344116075e-05 \tabularnewline
235 & 0.999954923187995 & 9.01536240093993e-05 & 4.50768120046997e-05 \tabularnewline
236 & 0.999923158749028 & 0.000153682501943833 & 7.68412509719164e-05 \tabularnewline
237 & 0.999864048367449 & 0.000271903265102167 & 0.000135951632551083 \tabularnewline
238 & 0.999786281516731 & 0.000427436966538378 & 0.000213718483269189 \tabularnewline
239 & 0.999637889854894 & 0.000724220290213017 & 0.000362110145106509 \tabularnewline
240 & 0.999493233843382 & 0.00101353231323529 & 0.000506766156617645 \tabularnewline
241 & 0.999238227063375 & 0.00152354587325038 & 0.00076177293662519 \tabularnewline
242 & 0.999774317285856 & 0.000451365428287855 & 0.000225682714143928 \tabularnewline
243 & 0.999597561402929 & 0.000804877194142393 & 0.000402438597071196 \tabularnewline
244 & 0.999413481388006 & 0.00117303722398856 & 0.000586518611994279 \tabularnewline
245 & 0.999019624060064 & 0.00196075187987193 & 0.000980375939935964 \tabularnewline
246 & 0.998867523979616 & 0.00226495204076871 & 0.00113247602038435 \tabularnewline
247 & 0.999771891525318 & 0.000456216949364871 & 0.000228108474682435 \tabularnewline
248 & 0.999626776664054 & 0.000746446671891652 & 0.000373223335945826 \tabularnewline
249 & 0.999358208988633 & 0.00128358202273426 & 0.00064179101136713 \tabularnewline
250 & 0.998892752300003 & 0.00221449539999434 & 0.00110724769999717 \tabularnewline
251 & 0.99823640594329 & 0.00352718811341993 & 0.00176359405670997 \tabularnewline
252 & 0.99701272870532 & 0.00597454258935904 & 0.00298727129467952 \tabularnewline
253 & 0.995061383523667 & 0.00987723295266523 & 0.00493861647633262 \tabularnewline
254 & 0.991751345630597 & 0.0164973087388069 & 0.00824865436940344 \tabularnewline
255 & 0.987070367213553 & 0.0258592655728946 & 0.0129296327864473 \tabularnewline
256 & 0.979964254446606 & 0.0400714911067885 & 0.0200357455533943 \tabularnewline
257 & 0.967678391371375 & 0.0646432172572501 & 0.0323216086286251 \tabularnewline
258 & 0.953089452151566 & 0.0938210956968673 & 0.0469105478484336 \tabularnewline
259 & 0.92791882850383 & 0.14416234299234 & 0.0720811714961701 \tabularnewline
260 & 0.894552958344546 & 0.210894083310908 & 0.105447041655454 \tabularnewline
261 & 0.917672367159621 & 0.164655265680758 & 0.0823276328403791 \tabularnewline
262 & 0.890388626037865 & 0.21922274792427 & 0.109611373962135 \tabularnewline
263 & 0.869139268175182 & 0.261721463649637 & 0.130860731824818 \tabularnewline
264 & 0.80516879097097 & 0.38966241805806 & 0.19483120902903 \tabularnewline
265 & 0.733635885410227 & 0.532728229179546 & 0.266364114589773 \tabularnewline
266 & 0.631855318427153 & 0.736289363145694 & 0.368144681572847 \tabularnewline
267 & 0.53603412486781 & 0.92793175026438 & 0.46396587513219 \tabularnewline
268 & 0.683544993575561 & 0.632910012848877 & 0.316455006424439 \tabularnewline
269 & 0.620032092892058 & 0.759935814215885 & 0.379967907107942 \tabularnewline
270 & 0.808190097760031 & 0.383619804479938 & 0.191809902239969 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=191153&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]19[/C][C]0.609734915233807[/C][C]0.780530169532385[/C][C]0.390265084766193[/C][/ROW]
[ROW][C]20[/C][C]0.910151162669185[/C][C]0.179697674661631[/C][C]0.0898488373308153[/C][/ROW]
[ROW][C]21[/C][C]0.847836123885241[/C][C]0.304327752229519[/C][C]0.152163876114759[/C][/ROW]
[ROW][C]22[/C][C]0.850249906325479[/C][C]0.299500187349041[/C][C]0.149750093674521[/C][/ROW]
[ROW][C]23[/C][C]0.795462059055324[/C][C]0.409075881889353[/C][C]0.204537940944676[/C][/ROW]
[ROW][C]24[/C][C]0.714318816538773[/C][C]0.571362366922454[/C][C]0.285681183461227[/C][/ROW]
[ROW][C]25[/C][C]0.727999552593518[/C][C]0.544000894812964[/C][C]0.272000447406482[/C][/ROW]
[ROW][C]26[/C][C]0.66361863603426[/C][C]0.672762727931479[/C][C]0.33638136396574[/C][/ROW]
[ROW][C]27[/C][C]0.678603727875545[/C][C]0.64279254424891[/C][C]0.321396272124455[/C][/ROW]
[ROW][C]28[/C][C]0.617474280827899[/C][C]0.765051438344202[/C][C]0.382525719172101[/C][/ROW]
[ROW][C]29[/C][C]0.582204168559657[/C][C]0.835591662880686[/C][C]0.417795831440343[/C][/ROW]
[ROW][C]30[/C][C]0.50274006278481[/C][C]0.99451987443038[/C][C]0.49725993721519[/C][/ROW]
[ROW][C]31[/C][C]0.548695631153389[/C][C]0.902608737693222[/C][C]0.451304368846611[/C][/ROW]
[ROW][C]32[/C][C]0.489968875884528[/C][C]0.979937751769056[/C][C]0.510031124115472[/C][/ROW]
[ROW][C]33[/C][C]0.46030400233795[/C][C]0.920608004675899[/C][C]0.53969599766205[/C][/ROW]
[ROW][C]34[/C][C]0.464509225700536[/C][C]0.929018451401072[/C][C]0.535490774299464[/C][/ROW]
[ROW][C]35[/C][C]0.41165505797027[/C][C]0.82331011594054[/C][C]0.58834494202973[/C][/ROW]
[ROW][C]36[/C][C]0.34862207131876[/C][C]0.69724414263752[/C][C]0.65137792868124[/C][/ROW]
[ROW][C]37[/C][C]0.303844072677718[/C][C]0.607688145355437[/C][C]0.696155927322282[/C][/ROW]
[ROW][C]38[/C][C]0.251363316182716[/C][C]0.502726632365432[/C][C]0.748636683817284[/C][/ROW]
[ROW][C]39[/C][C]0.264487781072236[/C][C]0.528975562144472[/C][C]0.735512218927764[/C][/ROW]
[ROW][C]40[/C][C]0.224104012766513[/C][C]0.448208025533026[/C][C]0.775895987233487[/C][/ROW]
[ROW][C]41[/C][C]0.183296196103764[/C][C]0.366592392207527[/C][C]0.816703803896236[/C][/ROW]
[ROW][C]42[/C][C]0.166714124503558[/C][C]0.333428249007116[/C][C]0.833285875496442[/C][/ROW]
[ROW][C]43[/C][C]0.229355224537195[/C][C]0.458710449074391[/C][C]0.770644775462805[/C][/ROW]
[ROW][C]44[/C][C]0.18687713954496[/C][C]0.37375427908992[/C][C]0.81312286045504[/C][/ROW]
[ROW][C]45[/C][C]0.176514573860241[/C][C]0.353029147720483[/C][C]0.823485426139759[/C][/ROW]
[ROW][C]46[/C][C]0.189612769515221[/C][C]0.379225539030443[/C][C]0.810387230484779[/C][/ROW]
[ROW][C]47[/C][C]0.287033386942457[/C][C]0.574066773884913[/C][C]0.712966613057543[/C][/ROW]
[ROW][C]48[/C][C]0.273648556703007[/C][C]0.547297113406015[/C][C]0.726351443296993[/C][/ROW]
[ROW][C]49[/C][C]0.259317672124924[/C][C]0.518635344249849[/C][C]0.740682327875076[/C][/ROW]
[ROW][C]50[/C][C]0.244640457993341[/C][C]0.489280915986683[/C][C]0.755359542006659[/C][/ROW]
[ROW][C]51[/C][C]0.408092646197493[/C][C]0.816185292394986[/C][C]0.591907353802507[/C][/ROW]
[ROW][C]52[/C][C]0.366070074918923[/C][C]0.732140149837846[/C][C]0.633929925081077[/C][/ROW]
[ROW][C]53[/C][C]0.386935415228206[/C][C]0.773870830456411[/C][C]0.613064584771794[/C][/ROW]
[ROW][C]54[/C][C]0.780224418449795[/C][C]0.43955116310041[/C][C]0.219775581550205[/C][/ROW]
[ROW][C]55[/C][C]0.757084601427053[/C][C]0.485830797145893[/C][C]0.242915398572947[/C][/ROW]
[ROW][C]56[/C][C]0.724504295448684[/C][C]0.550991409102633[/C][C]0.275495704551317[/C][/ROW]
[ROW][C]57[/C][C]0.693470498996294[/C][C]0.613059002007412[/C][C]0.306529501003706[/C][/ROW]
[ROW][C]58[/C][C]0.912281312822996[/C][C]0.175437374354008[/C][C]0.087718687177004[/C][/ROW]
[ROW][C]59[/C][C]0.893189201245479[/C][C]0.213621597509041[/C][C]0.106810798754521[/C][/ROW]
[ROW][C]60[/C][C]0.880937466911522[/C][C]0.238125066176956[/C][C]0.119062533088478[/C][/ROW]
[ROW][C]61[/C][C]0.90464101020645[/C][C]0.190717979587101[/C][C]0.0953589897935504[/C][/ROW]
[ROW][C]62[/C][C]0.966305375133643[/C][C]0.067389249732713[/C][C]0.0336946248663565[/C][/ROW]
[ROW][C]63[/C][C]0.999999999776787[/C][C]4.46426553522574e-10[/C][C]2.23213276761287e-10[/C][/ROW]
[ROW][C]64[/C][C]0.999999999606139[/C][C]7.87721493855222e-10[/C][C]3.93860746927611e-10[/C][/ROW]
[ROW][C]65[/C][C]0.99999999991812[/C][C]1.63759522919001e-10[/C][C]8.18797614595003e-11[/C][/ROW]
[ROW][C]66[/C][C]0.999999999989707[/C][C]2.05858883194908e-11[/C][C]1.02929441597454e-11[/C][/ROW]
[ROW][C]67[/C][C]0.999999999984337[/C][C]3.13269905363242e-11[/C][C]1.56634952681621e-11[/C][/ROW]
[ROW][C]68[/C][C]0.999999999994678[/C][C]1.06444145686356e-11[/C][C]5.3222072843178e-12[/C][/ROW]
[ROW][C]69[/C][C]0.999999999989546[/C][C]2.09082409108493e-11[/C][C]1.04541204554246e-11[/C][/ROW]
[ROW][C]70[/C][C]0.999999999983942[/C][C]3.21162148027611e-11[/C][C]1.60581074013806e-11[/C][/ROW]
[ROW][C]71[/C][C]0.99999999997937[/C][C]4.12610573378045e-11[/C][C]2.06305286689023e-11[/C][/ROW]
[ROW][C]72[/C][C]0.99999999996592[/C][C]6.81603292871729e-11[/C][C]3.40801646435864e-11[/C][/ROW]
[ROW][C]73[/C][C]0.999999999973529[/C][C]5.2941870088464e-11[/C][C]2.6470935044232e-11[/C][/ROW]
[ROW][C]74[/C][C]0.99999999995912[/C][C]8.17599636233596e-11[/C][C]4.08799818116798e-11[/C][/ROW]
[ROW][C]75[/C][C]0.999999999969914[/C][C]6.01720050074688e-11[/C][C]3.00860025037344e-11[/C][/ROW]
[ROW][C]76[/C][C]0.999999999954411[/C][C]9.11776584939684e-11[/C][C]4.55888292469842e-11[/C][/ROW]
[ROW][C]77[/C][C]0.999999999957888[/C][C]8.42233434592642e-11[/C][C]4.21116717296321e-11[/C][/ROW]
[ROW][C]78[/C][C]0.999999999958636[/C][C]8.27285584742397e-11[/C][C]4.13642792371198e-11[/C][/ROW]
[ROW][C]79[/C][C]0.999999999946166[/C][C]1.07668517656943e-10[/C][C]5.38342588284716e-11[/C][/ROW]
[ROW][C]80[/C][C]0.999999999934482[/C][C]1.31035861563243e-10[/C][C]6.55179307816216e-11[/C][/ROW]
[ROW][C]81[/C][C]0.999999999944099[/C][C]1.11802121616394e-10[/C][C]5.59010608081971e-11[/C][/ROW]
[ROW][C]82[/C][C]0.999999999897713[/C][C]2.04574663643384e-10[/C][C]1.02287331821692e-10[/C][/ROW]
[ROW][C]83[/C][C]0.999999999976607[/C][C]4.67858146612866e-11[/C][C]2.33929073306433e-11[/C][/ROW]
[ROW][C]84[/C][C]0.999999999974096[/C][C]5.18077274206435e-11[/C][C]2.59038637103217e-11[/C][/ROW]
[ROW][C]85[/C][C]0.999999999962585[/C][C]7.4830664769511e-11[/C][C]3.74153323847555e-11[/C][/ROW]
[ROW][C]86[/C][C]0.999999999942609[/C][C]1.14781957370276e-10[/C][C]5.73909786851378e-11[/C][/ROW]
[ROW][C]87[/C][C]0.999999999897213[/C][C]2.05573071605435e-10[/C][C]1.02786535802717e-10[/C][/ROW]
[ROW][C]88[/C][C]0.999999999857982[/C][C]2.84035844895048e-10[/C][C]1.42017922447524e-10[/C][/ROW]
[ROW][C]89[/C][C]0.999999999975078[/C][C]4.98446758208077e-11[/C][C]2.49223379104039e-11[/C][/ROW]
[ROW][C]90[/C][C]0.999999999990278[/C][C]1.94445164182075e-11[/C][C]9.72225820910375e-12[/C][/ROW]
[ROW][C]91[/C][C]0.9999999999961[/C][C]7.80003171259274e-12[/C][C]3.90001585629637e-12[/C][/ROW]
[ROW][C]92[/C][C]0.99999999999694[/C][C]6.12071406068122e-12[/C][C]3.06035703034061e-12[/C][/ROW]
[ROW][C]93[/C][C]0.99999999999741[/C][C]5.1805541751728e-12[/C][C]2.5902770875864e-12[/C][/ROW]
[ROW][C]94[/C][C]0.999999999996979[/C][C]6.04269488490354e-12[/C][C]3.02134744245177e-12[/C][/ROW]
[ROW][C]95[/C][C]0.99999999999602[/C][C]7.96051201739909e-12[/C][C]3.98025600869954e-12[/C][/ROW]
[ROW][C]96[/C][C]0.999999999998594[/C][C]2.81146818935902e-12[/C][C]1.40573409467951e-12[/C][/ROW]
[ROW][C]97[/C][C]0.999999999997804[/C][C]4.39233585667344e-12[/C][C]2.19616792833672e-12[/C][/ROW]
[ROW][C]98[/C][C]0.999999999998364[/C][C]3.27222169691699e-12[/C][C]1.63611084845849e-12[/C][/ROW]
[ROW][C]99[/C][C]0.99999999999763[/C][C]4.74029151671108e-12[/C][C]2.37014575835554e-12[/C][/ROW]
[ROW][C]100[/C][C]0.999999999996155[/C][C]7.68954248458288e-12[/C][C]3.84477124229144e-12[/C][/ROW]
[ROW][C]101[/C][C]0.999999999994516[/C][C]1.09684328259758e-11[/C][C]5.48421641298788e-12[/C][/ROW]
[ROW][C]102[/C][C]0.99999999999394[/C][C]1.21192411294156e-11[/C][C]6.05962056470781e-12[/C][/ROW]
[ROW][C]103[/C][C]0.999999999992289[/C][C]1.542120548473e-11[/C][C]7.71060274236499e-12[/C][/ROW]
[ROW][C]104[/C][C]0.999999999986934[/C][C]2.61322404430551e-11[/C][C]1.30661202215275e-11[/C][/ROW]
[ROW][C]105[/C][C]0.9999999999761[/C][C]4.78001441338714e-11[/C][C]2.39000720669357e-11[/C][/ROW]
[ROW][C]106[/C][C]0.999999999967931[/C][C]6.41374003004301e-11[/C][C]3.2068700150215e-11[/C][/ROW]
[ROW][C]107[/C][C]0.999999999974635[/C][C]5.07296093446875e-11[/C][C]2.53648046723437e-11[/C][/ROW]
[ROW][C]108[/C][C]0.999999999990156[/C][C]1.96880195689114e-11[/C][C]9.84400978445569e-12[/C][/ROW]
[ROW][C]109[/C][C]0.999999999983797[/C][C]3.24064348082307e-11[/C][C]1.62032174041154e-11[/C][/ROW]
[ROW][C]110[/C][C]0.999999999971657[/C][C]5.66852019968387e-11[/C][C]2.83426009984194e-11[/C][/ROW]
[ROW][C]111[/C][C]0.999999999952027[/C][C]9.59452711342277e-11[/C][C]4.79726355671138e-11[/C][/ROW]
[ROW][C]112[/C][C]0.999999999968697[/C][C]6.26063092478141e-11[/C][C]3.1303154623907e-11[/C][/ROW]
[ROW][C]113[/C][C]0.999999999944692[/C][C]1.10615962898596e-10[/C][C]5.5307981449298e-11[/C][/ROW]
[ROW][C]114[/C][C]0.999999999915295[/C][C]1.69409598497837e-10[/C][C]8.47047992489185e-11[/C][/ROW]
[ROW][C]115[/C][C]0.999999999897758[/C][C]2.04484865110524e-10[/C][C]1.02242432555262e-10[/C][/ROW]
[ROW][C]116[/C][C]0.999999999946359[/C][C]1.07282664479826e-10[/C][C]5.3641332239913e-11[/C][/ROW]
[ROW][C]117[/C][C]0.999999999922179[/C][C]1.55641906634923e-10[/C][C]7.78209533174615e-11[/C][/ROW]
[ROW][C]118[/C][C]0.999999999925909[/C][C]1.48181547544088e-10[/C][C]7.40907737720442e-11[/C][/ROW]
[ROW][C]119[/C][C]0.999999999869042[/C][C]2.61915925847757e-10[/C][C]1.30957962923879e-10[/C][/ROW]
[ROW][C]120[/C][C]0.999999999833823[/C][C]3.32354089775438e-10[/C][C]1.66177044887719e-10[/C][/ROW]
[ROW][C]121[/C][C]0.99999999982081[/C][C]3.58380415809649e-10[/C][C]1.79190207904825e-10[/C][/ROW]
[ROW][C]122[/C][C]0.999999999695665[/C][C]6.08669580516063e-10[/C][C]3.04334790258032e-10[/C][/ROW]
[ROW][C]123[/C][C]0.999999999522319[/C][C]9.55362253532274e-10[/C][C]4.77681126766137e-10[/C][/ROW]
[ROW][C]124[/C][C]0.99999999930576[/C][C]1.38847926036074e-09[/C][C]6.94239630180372e-10[/C][/ROW]
[ROW][C]125[/C][C]0.999999998817055[/C][C]2.36589087946886e-09[/C][C]1.18294543973443e-09[/C][/ROW]
[ROW][C]126[/C][C]0.999999998110968[/C][C]3.77806381612317e-09[/C][C]1.88903190806159e-09[/C][/ROW]
[ROW][C]127[/C][C]0.999999996817062[/C][C]6.36587607813353e-09[/C][C]3.18293803906676e-09[/C][/ROW]
[ROW][C]128[/C][C]0.999999998471394[/C][C]3.05721131242021e-09[/C][C]1.52860565621011e-09[/C][/ROW]
[ROW][C]129[/C][C]0.999999997961185[/C][C]4.07762908414599e-09[/C][C]2.03881454207299e-09[/C][/ROW]
[ROW][C]130[/C][C]0.999999996586358[/C][C]6.82728367370303e-09[/C][C]3.41364183685152e-09[/C][/ROW]
[ROW][C]131[/C][C]0.999999994453873[/C][C]1.10922545069938e-08[/C][C]5.54612725349692e-09[/C][/ROW]
[ROW][C]132[/C][C]0.999999991052163[/C][C]1.78956732042077e-08[/C][C]8.94783660210383e-09[/C][/ROW]
[ROW][C]133[/C][C]0.999999987361564[/C][C]2.52768717921684e-08[/C][C]1.26384358960842e-08[/C][/ROW]
[ROW][C]134[/C][C]0.999999996729463[/C][C]6.54107368898084e-09[/C][C]3.27053684449042e-09[/C][/ROW]
[ROW][C]135[/C][C]0.99999999873824[/C][C]2.52351962746881e-09[/C][C]1.26175981373441e-09[/C][/ROW]
[ROW][C]136[/C][C]0.999999999159243[/C][C]1.68151340541669e-09[/C][C]8.40756702708344e-10[/C][/ROW]
[ROW][C]137[/C][C]0.999999998562433[/C][C]2.87513438504852e-09[/C][C]1.43756719252426e-09[/C][/ROW]
[ROW][C]138[/C][C]0.999999998152783[/C][C]3.69443392261795e-09[/C][C]1.84721696130897e-09[/C][/ROW]
[ROW][C]139[/C][C]0.999999997456259[/C][C]5.08748240470233e-09[/C][C]2.54374120235117e-09[/C][/ROW]
[ROW][C]140[/C][C]0.999999996457434[/C][C]7.0851321638131e-09[/C][C]3.54256608190655e-09[/C][/ROW]
[ROW][C]141[/C][C]0.999999993992203[/C][C]1.20155936146007e-08[/C][C]6.00779680730034e-09[/C][/ROW]
[ROW][C]142[/C][C]0.999999996596802[/C][C]6.80639634476093e-09[/C][C]3.40319817238046e-09[/C][/ROW]
[ROW][C]143[/C][C]0.99999999435476[/C][C]1.12904808128443e-08[/C][C]5.64524040642213e-09[/C][/ROW]
[ROW][C]144[/C][C]0.999999991224211[/C][C]1.75515775706265e-08[/C][C]8.77578878531327e-09[/C][/ROW]
[ROW][C]145[/C][C]0.999999986293474[/C][C]2.74130525014556e-08[/C][C]1.37065262507278e-08[/C][/ROW]
[ROW][C]146[/C][C]0.999999994377463[/C][C]1.12450737925371e-08[/C][C]5.62253689626856e-09[/C][/ROW]
[ROW][C]147[/C][C]0.999999992156164[/C][C]1.56876718076878e-08[/C][C]7.84383590384389e-09[/C][/ROW]
[ROW][C]148[/C][C]0.999999986925406[/C][C]2.6149186948968e-08[/C][C]1.3074593474484e-08[/C][/ROW]
[ROW][C]149[/C][C]0.999999991660068[/C][C]1.66798640924412e-08[/C][C]8.33993204622061e-09[/C][/ROW]
[ROW][C]150[/C][C]0.999999986458858[/C][C]2.70822841981158e-08[/C][C]1.35411420990579e-08[/C][/ROW]
[ROW][C]151[/C][C]0.999999978769754[/C][C]4.24604915752425e-08[/C][C]2.12302457876213e-08[/C][/ROW]
[ROW][C]152[/C][C]0.99999997049071[/C][C]5.90185800779377e-08[/C][C]2.95092900389689e-08[/C][/ROW]
[ROW][C]153[/C][C]0.999999970213242[/C][C]5.95735165732614e-08[/C][C]2.97867582866307e-08[/C][/ROW]
[ROW][C]154[/C][C]0.999999995955488[/C][C]8.08902486604801e-09[/C][C]4.04451243302401e-09[/C][/ROW]
[ROW][C]155[/C][C]0.999999998221378[/C][C]3.55724375510824e-09[/C][C]1.77862187755412e-09[/C][/ROW]
[ROW][C]156[/C][C]0.999999997511615[/C][C]4.97676950540533e-09[/C][C]2.48838475270267e-09[/C][/ROW]
[ROW][C]157[/C][C]0.999999997421687[/C][C]5.15662579436484e-09[/C][C]2.57831289718242e-09[/C][/ROW]
[ROW][C]158[/C][C]0.999999996701914[/C][C]6.59617235671367e-09[/C][C]3.29808617835683e-09[/C][/ROW]
[ROW][C]159[/C][C]0.999999994406309[/C][C]1.11873814845115e-08[/C][C]5.59369074225577e-09[/C][/ROW]
[ROW][C]160[/C][C]0.999999999915898[/C][C]1.682035564827e-10[/C][C]8.41017782413501e-11[/C][/ROW]
[ROW][C]161[/C][C]0.999999999908485[/C][C]1.83030947910162e-10[/C][C]9.15154739550812e-11[/C][/ROW]
[ROW][C]162[/C][C]0.999999999883463[/C][C]2.33073591390734e-10[/C][C]1.16536795695367e-10[/C][/ROW]
[ROW][C]163[/C][C]0.999999999811656[/C][C]3.766884823369e-10[/C][C]1.8834424116845e-10[/C][/ROW]
[ROW][C]164[/C][C]0.999999999946803[/C][C]1.06394316671346e-10[/C][C]5.31971583356728e-11[/C][/ROW]
[ROW][C]165[/C][C]0.999999999921651[/C][C]1.5669782191449e-10[/C][C]7.83489109572451e-11[/C][/ROW]
[ROW][C]166[/C][C]0.999999999869364[/C][C]2.61271317084547e-10[/C][C]1.30635658542273e-10[/C][/ROW]
[ROW][C]167[/C][C]0.999999999871733[/C][C]2.56533865392443e-10[/C][C]1.28266932696222e-10[/C][/ROW]
[ROW][C]168[/C][C]0.999999999854956[/C][C]2.90088438410404e-10[/C][C]1.45044219205202e-10[/C][/ROW]
[ROW][C]169[/C][C]0.999999999735118[/C][C]5.29764172537903e-10[/C][C]2.64882086268951e-10[/C][/ROW]
[ROW][C]170[/C][C]0.999999999662643[/C][C]6.74714897436734e-10[/C][C]3.37357448718367e-10[/C][/ROW]
[ROW][C]171[/C][C]0.999999999804081[/C][C]3.91836949153573e-10[/C][C]1.95918474576786e-10[/C][/ROW]
[ROW][C]172[/C][C]0.99999999965548[/C][C]6.89039901653725e-10[/C][C]3.44519950826863e-10[/C][/ROW]
[ROW][C]173[/C][C]0.999999999886644[/C][C]2.26712603408769e-10[/C][C]1.13356301704385e-10[/C][/ROW]
[ROW][C]174[/C][C]0.99999999982696[/C][C]3.46079096469899e-10[/C][C]1.7303954823495e-10[/C][/ROW]
[ROW][C]175[/C][C]0.99999999998217[/C][C]3.56605064023857e-11[/C][C]1.78302532011929e-11[/C][/ROW]
[ROW][C]176[/C][C]0.999999999966556[/C][C]6.68882789253179e-11[/C][C]3.3444139462659e-11[/C][/ROW]
[ROW][C]177[/C][C]0.999999999963632[/C][C]7.27352280587293e-11[/C][C]3.63676140293647e-11[/C][/ROW]
[ROW][C]178[/C][C]0.999999999931604[/C][C]1.36791605728198e-10[/C][C]6.83958028640989e-11[/C][/ROW]
[ROW][C]179[/C][C]0.999999999926845[/C][C]1.46309989211079e-10[/C][C]7.31549946055397e-11[/C][/ROW]
[ROW][C]180[/C][C]0.999999999860539[/C][C]2.7892239859395e-10[/C][C]1.39461199296975e-10[/C][/ROW]
[ROW][C]181[/C][C]0.999999999743758[/C][C]5.1248426830301e-10[/C][C]2.56242134151505e-10[/C][/ROW]
[ROW][C]182[/C][C]0.999999999557533[/C][C]8.84933084024782e-10[/C][C]4.42466542012391e-10[/C][/ROW]
[ROW][C]183[/C][C]0.999999999214991[/C][C]1.57001770971769e-09[/C][C]7.85008854858845e-10[/C][/ROW]
[ROW][C]184[/C][C]0.999999998677743[/C][C]2.64451418565563e-09[/C][C]1.32225709282781e-09[/C][/ROW]
[ROW][C]185[/C][C]0.999999999453676[/C][C]1.09264778517864e-09[/C][C]5.46323892589319e-10[/C][/ROW]
[ROW][C]186[/C][C]0.999999999024855[/C][C]1.95028987798567e-09[/C][C]9.75144938992834e-10[/C][/ROW]
[ROW][C]187[/C][C]0.999999999090619[/C][C]1.81876281454045e-09[/C][C]9.09381407270226e-10[/C][/ROW]
[ROW][C]188[/C][C]0.999999998355257[/C][C]3.28948530399463e-09[/C][C]1.64474265199731e-09[/C][/ROW]
[ROW][C]189[/C][C]0.999999999332902[/C][C]1.33419618480002e-09[/C][C]6.67098092400008e-10[/C][/ROW]
[ROW][C]190[/C][C]0.999999998843825[/C][C]2.31235078400659e-09[/C][C]1.15617539200329e-09[/C][/ROW]
[ROW][C]191[/C][C]0.999999997914423[/C][C]4.17115378926223e-09[/C][C]2.08557689463111e-09[/C][/ROW]
[ROW][C]192[/C][C]0.999999996913529[/C][C]6.1729423148071e-09[/C][C]3.08647115740355e-09[/C][/ROW]
[ROW][C]193[/C][C]0.999999994645309[/C][C]1.07093823844723e-08[/C][C]5.35469119223616e-09[/C][/ROW]
[ROW][C]194[/C][C]0.999999992230936[/C][C]1.5538127025611e-08[/C][C]7.76906351280552e-09[/C][/ROW]
[ROW][C]195[/C][C]0.999999985802608[/C][C]2.83947842549211e-08[/C][C]1.41973921274606e-08[/C][/ROW]
[ROW][C]196[/C][C]0.999999976766181[/C][C]4.64676380153608e-08[/C][C]2.32338190076804e-08[/C][/ROW]
[ROW][C]197[/C][C]0.999999962615899[/C][C]7.47682025118337e-08[/C][C]3.73841012559169e-08[/C][/ROW]
[ROW][C]198[/C][C]0.999999934920588[/C][C]1.30158824757495e-07[/C][C]6.50794123787473e-08[/C][/ROW]
[ROW][C]199[/C][C]0.999999928430339[/C][C]1.43139321159906e-07[/C][C]7.15696605799528e-08[/C][/ROW]
[ROW][C]200[/C][C]0.999999874574748[/C][C]2.50850504469775e-07[/C][C]1.25425252234887e-07[/C][/ROW]
[ROW][C]201[/C][C]0.999999801931415[/C][C]3.96137168961323e-07[/C][C]1.98068584480661e-07[/C][/ROW]
[ROW][C]202[/C][C]0.999999657449836[/C][C]6.85100328562304e-07[/C][C]3.42550164281152e-07[/C][/ROW]
[ROW][C]203[/C][C]0.99999945904158[/C][C]1.08191684077498e-06[/C][C]5.40958420387491e-07[/C][/ROW]
[ROW][C]204[/C][C]0.999999166258969[/C][C]1.66748206186333e-06[/C][C]8.33741030931666e-07[/C][/ROW]
[ROW][C]205[/C][C]0.999998899279495[/C][C]2.20144101063869e-06[/C][C]1.10072050531934e-06[/C][/ROW]
[ROW][C]206[/C][C]0.999998167447222[/C][C]3.66510555554168e-06[/C][C]1.83255277777084e-06[/C][/ROW]
[ROW][C]207[/C][C]0.999998164617871[/C][C]3.670764258299e-06[/C][C]1.8353821291495e-06[/C][/ROW]
[ROW][C]208[/C][C]0.999997758388319[/C][C]4.48322336242143e-06[/C][C]2.24161168121072e-06[/C][/ROW]
[ROW][C]209[/C][C]0.999996315821256[/C][C]7.36835748762156e-06[/C][C]3.68417874381078e-06[/C][/ROW]
[ROW][C]210[/C][C]0.999994987987421[/C][C]1.00240251571142e-05[/C][C]5.01201257855712e-06[/C][/ROW]
[ROW][C]211[/C][C]0.999991939681939[/C][C]1.61206361215005e-05[/C][C]8.06031806075024e-06[/C][/ROW]
[ROW][C]212[/C][C]0.999996232122414[/C][C]7.53575517188184e-06[/C][C]3.76787758594092e-06[/C][/ROW]
[ROW][C]213[/C][C]0.999993578539276[/C][C]1.28429214483341e-05[/C][C]6.42146072416706e-06[/C][/ROW]
[ROW][C]214[/C][C]0.999994037920722[/C][C]1.19241585560316e-05[/C][C]5.96207927801579e-06[/C][/ROW]
[ROW][C]215[/C][C]0.999991681353996[/C][C]1.66372920084161e-05[/C][C]8.31864600420805e-06[/C][/ROW]
[ROW][C]216[/C][C]0.999986048019433[/C][C]2.79039611338505e-05[/C][C]1.39519805669252e-05[/C][/ROW]
[ROW][C]217[/C][C]0.99998129554528[/C][C]3.74089094409241e-05[/C][C]1.87044547204621e-05[/C][/ROW]
[ROW][C]218[/C][C]0.999992125261219[/C][C]1.57494775619586e-05[/C][C]7.87473878097931e-06[/C][/ROW]
[ROW][C]219[/C][C]0.999988639420811[/C][C]2.27211583782488e-05[/C][C]1.13605791891244e-05[/C][/ROW]
[ROW][C]220[/C][C]0.999980738326908[/C][C]3.8523346184354e-05[/C][C]1.9261673092177e-05[/C][/ROW]
[ROW][C]221[/C][C]0.999969666022826[/C][C]6.06679543476172e-05[/C][C]3.03339771738086e-05[/C][/ROW]
[ROW][C]222[/C][C]0.999975243254671[/C][C]4.95134906575931e-05[/C][C]2.47567453287966e-05[/C][/ROW]
[ROW][C]223[/C][C]0.999979291569523[/C][C]4.14168609539036e-05[/C][C]2.07084304769518e-05[/C][/ROW]
[ROW][C]224[/C][C]0.999966416340487[/C][C]6.71673190264953e-05[/C][C]3.35836595132477e-05[/C][/ROW]
[ROW][C]225[/C][C]0.999954809625716[/C][C]9.03807485685158e-05[/C][C]4.51903742842579e-05[/C][/ROW]
[ROW][C]226[/C][C]0.999924915767311[/C][C]0.000150168465377988[/C][C]7.50842326889938e-05[/C][/ROW]
[ROW][C]227[/C][C]0.999881877816776[/C][C]0.000236244366447728[/C][C]0.000118122183223864[/C][/ROW]
[ROW][C]228[/C][C]0.999843930398596[/C][C]0.000312139202808605[/C][C]0.000156069601404302[/C][/ROW]
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[ROW][C]230[/C][C]0.999975056077181[/C][C]4.98878456381743e-05[/C][C]2.49439228190872e-05[/C][/ROW]
[ROW][C]231[/C][C]0.999961202562414[/C][C]7.75948751709906e-05[/C][C]3.87974375854953e-05[/C][/ROW]
[ROW][C]232[/C][C]0.999976521819061[/C][C]4.69563618772996e-05[/C][C]2.34781809386498e-05[/C][/ROW]
[ROW][C]233[/C][C]0.999969727459056[/C][C]6.05450818880151e-05[/C][C]3.02725409440075e-05[/C][/ROW]
[ROW][C]234[/C][C]0.999947907265588[/C][C]0.000104185468823215[/C][C]5.20927344116075e-05[/C][/ROW]
[ROW][C]235[/C][C]0.999954923187995[/C][C]9.01536240093993e-05[/C][C]4.50768120046997e-05[/C][/ROW]
[ROW][C]236[/C][C]0.999923158749028[/C][C]0.000153682501943833[/C][C]7.68412509719164e-05[/C][/ROW]
[ROW][C]237[/C][C]0.999864048367449[/C][C]0.000271903265102167[/C][C]0.000135951632551083[/C][/ROW]
[ROW][C]238[/C][C]0.999786281516731[/C][C]0.000427436966538378[/C][C]0.000213718483269189[/C][/ROW]
[ROW][C]239[/C][C]0.999637889854894[/C][C]0.000724220290213017[/C][C]0.000362110145106509[/C][/ROW]
[ROW][C]240[/C][C]0.999493233843382[/C][C]0.00101353231323529[/C][C]0.000506766156617645[/C][/ROW]
[ROW][C]241[/C][C]0.999238227063375[/C][C]0.00152354587325038[/C][C]0.00076177293662519[/C][/ROW]
[ROW][C]242[/C][C]0.999774317285856[/C][C]0.000451365428287855[/C][C]0.000225682714143928[/C][/ROW]
[ROW][C]243[/C][C]0.999597561402929[/C][C]0.000804877194142393[/C][C]0.000402438597071196[/C][/ROW]
[ROW][C]244[/C][C]0.999413481388006[/C][C]0.00117303722398856[/C][C]0.000586518611994279[/C][/ROW]
[ROW][C]245[/C][C]0.999019624060064[/C][C]0.00196075187987193[/C][C]0.000980375939935964[/C][/ROW]
[ROW][C]246[/C][C]0.998867523979616[/C][C]0.00226495204076871[/C][C]0.00113247602038435[/C][/ROW]
[ROW][C]247[/C][C]0.999771891525318[/C][C]0.000456216949364871[/C][C]0.000228108474682435[/C][/ROW]
[ROW][C]248[/C][C]0.999626776664054[/C][C]0.000746446671891652[/C][C]0.000373223335945826[/C][/ROW]
[ROW][C]249[/C][C]0.999358208988633[/C][C]0.00128358202273426[/C][C]0.00064179101136713[/C][/ROW]
[ROW][C]250[/C][C]0.998892752300003[/C][C]0.00221449539999434[/C][C]0.00110724769999717[/C][/ROW]
[ROW][C]251[/C][C]0.99823640594329[/C][C]0.00352718811341993[/C][C]0.00176359405670997[/C][/ROW]
[ROW][C]252[/C][C]0.99701272870532[/C][C]0.00597454258935904[/C][C]0.00298727129467952[/C][/ROW]
[ROW][C]253[/C][C]0.995061383523667[/C][C]0.00987723295266523[/C][C]0.00493861647633262[/C][/ROW]
[ROW][C]254[/C][C]0.991751345630597[/C][C]0.0164973087388069[/C][C]0.00824865436940344[/C][/ROW]
[ROW][C]255[/C][C]0.987070367213553[/C][C]0.0258592655728946[/C][C]0.0129296327864473[/C][/ROW]
[ROW][C]256[/C][C]0.979964254446606[/C][C]0.0400714911067885[/C][C]0.0200357455533943[/C][/ROW]
[ROW][C]257[/C][C]0.967678391371375[/C][C]0.0646432172572501[/C][C]0.0323216086286251[/C][/ROW]
[ROW][C]258[/C][C]0.953089452151566[/C][C]0.0938210956968673[/C][C]0.0469105478484336[/C][/ROW]
[ROW][C]259[/C][C]0.92791882850383[/C][C]0.14416234299234[/C][C]0.0720811714961701[/C][/ROW]
[ROW][C]260[/C][C]0.894552958344546[/C][C]0.210894083310908[/C][C]0.105447041655454[/C][/ROW]
[ROW][C]261[/C][C]0.917672367159621[/C][C]0.164655265680758[/C][C]0.0823276328403791[/C][/ROW]
[ROW][C]262[/C][C]0.890388626037865[/C][C]0.21922274792427[/C][C]0.109611373962135[/C][/ROW]
[ROW][C]263[/C][C]0.869139268175182[/C][C]0.261721463649637[/C][C]0.130860731824818[/C][/ROW]
[ROW][C]264[/C][C]0.80516879097097[/C][C]0.38966241805806[/C][C]0.19483120902903[/C][/ROW]
[ROW][C]265[/C][C]0.733635885410227[/C][C]0.532728229179546[/C][C]0.266364114589773[/C][/ROW]
[ROW][C]266[/C][C]0.631855318427153[/C][C]0.736289363145694[/C][C]0.368144681572847[/C][/ROW]
[ROW][C]267[/C][C]0.53603412486781[/C][C]0.92793175026438[/C][C]0.46396587513219[/C][/ROW]
[ROW][C]268[/C][C]0.683544993575561[/C][C]0.632910012848877[/C][C]0.316455006424439[/C][/ROW]
[ROW][C]269[/C][C]0.620032092892058[/C][C]0.759935814215885[/C][C]0.379967907107942[/C][/ROW]
[ROW][C]270[/C][C]0.808190097760031[/C][C]0.383619804479938[/C][C]0.191809902239969[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=191153&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=191153&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
190.6097349152338070.7805301695323850.390265084766193
200.9101511626691850.1796976746616310.0898488373308153
210.8478361238852410.3043277522295190.152163876114759
220.8502499063254790.2995001873490410.149750093674521
230.7954620590553240.4090758818893530.204537940944676
240.7143188165387730.5713623669224540.285681183461227
250.7279995525935180.5440008948129640.272000447406482
260.663618636034260.6727627279314790.33638136396574
270.6786037278755450.642792544248910.321396272124455
280.6174742808278990.7650514383442020.382525719172101
290.5822041685596570.8355916628806860.417795831440343
300.502740062784810.994519874430380.49725993721519
310.5486956311533890.9026087376932220.451304368846611
320.4899688758845280.9799377517690560.510031124115472
330.460304002337950.9206080046758990.53969599766205
340.4645092257005360.9290184514010720.535490774299464
350.411655057970270.823310115940540.58834494202973
360.348622071318760.697244142637520.65137792868124
370.3038440726777180.6076881453554370.696155927322282
380.2513633161827160.5027266323654320.748636683817284
390.2644877810722360.5289755621444720.735512218927764
400.2241040127665130.4482080255330260.775895987233487
410.1832961961037640.3665923922075270.816703803896236
420.1667141245035580.3334282490071160.833285875496442
430.2293552245371950.4587104490743910.770644775462805
440.186877139544960.373754279089920.81312286045504
450.1765145738602410.3530291477204830.823485426139759
460.1896127695152210.3792255390304430.810387230484779
470.2870333869424570.5740667738849130.712966613057543
480.2736485567030070.5472971134060150.726351443296993
490.2593176721249240.5186353442498490.740682327875076
500.2446404579933410.4892809159866830.755359542006659
510.4080926461974930.8161852923949860.591907353802507
520.3660700749189230.7321401498378460.633929925081077
530.3869354152282060.7738708304564110.613064584771794
540.7802244184497950.439551163100410.219775581550205
550.7570846014270530.4858307971458930.242915398572947
560.7245042954486840.5509914091026330.275495704551317
570.6934704989962940.6130590020074120.306529501003706
580.9122813128229960.1754373743540080.087718687177004
590.8931892012454790.2136215975090410.106810798754521
600.8809374669115220.2381250661769560.119062533088478
610.904641010206450.1907179795871010.0953589897935504
620.9663053751336430.0673892497327130.0336946248663565
630.9999999997767874.46426553522574e-102.23213276761287e-10
640.9999999996061397.87721493855222e-103.93860746927611e-10
650.999999999918121.63759522919001e-108.18797614595003e-11
660.9999999999897072.05858883194908e-111.02929441597454e-11
670.9999999999843373.13269905363242e-111.56634952681621e-11
680.9999999999946781.06444145686356e-115.3222072843178e-12
690.9999999999895462.09082409108493e-111.04541204554246e-11
700.9999999999839423.21162148027611e-111.60581074013806e-11
710.999999999979374.12610573378045e-112.06305286689023e-11
720.999999999965926.81603292871729e-113.40801646435864e-11
730.9999999999735295.2941870088464e-112.6470935044232e-11
740.999999999959128.17599636233596e-114.08799818116798e-11
750.9999999999699146.01720050074688e-113.00860025037344e-11
760.9999999999544119.11776584939684e-114.55888292469842e-11
770.9999999999578888.42233434592642e-114.21116717296321e-11
780.9999999999586368.27285584742397e-114.13642792371198e-11
790.9999999999461661.07668517656943e-105.38342588284716e-11
800.9999999999344821.31035861563243e-106.55179307816216e-11
810.9999999999440991.11802121616394e-105.59010608081971e-11
820.9999999998977132.04574663643384e-101.02287331821692e-10
830.9999999999766074.67858146612866e-112.33929073306433e-11
840.9999999999740965.18077274206435e-112.59038637103217e-11
850.9999999999625857.4830664769511e-113.74153323847555e-11
860.9999999999426091.14781957370276e-105.73909786851378e-11
870.9999999998972132.05573071605435e-101.02786535802717e-10
880.9999999998579822.84035844895048e-101.42017922447524e-10
890.9999999999750784.98446758208077e-112.49223379104039e-11
900.9999999999902781.94445164182075e-119.72225820910375e-12
910.99999999999617.80003171259274e-123.90001585629637e-12
920.999999999996946.12071406068122e-123.06035703034061e-12
930.999999999997415.1805541751728e-122.5902770875864e-12
940.9999999999969796.04269488490354e-123.02134744245177e-12
950.999999999996027.96051201739909e-123.98025600869954e-12
960.9999999999985942.81146818935902e-121.40573409467951e-12
970.9999999999978044.39233585667344e-122.19616792833672e-12
980.9999999999983643.27222169691699e-121.63611084845849e-12
990.999999999997634.74029151671108e-122.37014575835554e-12
1000.9999999999961557.68954248458288e-123.84477124229144e-12
1010.9999999999945161.09684328259758e-115.48421641298788e-12
1020.999999999993941.21192411294156e-116.05962056470781e-12
1030.9999999999922891.542120548473e-117.71060274236499e-12
1040.9999999999869342.61322404430551e-111.30661202215275e-11
1050.99999999997614.78001441338714e-112.39000720669357e-11
1060.9999999999679316.41374003004301e-113.2068700150215e-11
1070.9999999999746355.07296093446875e-112.53648046723437e-11
1080.9999999999901561.96880195689114e-119.84400978445569e-12
1090.9999999999837973.24064348082307e-111.62032174041154e-11
1100.9999999999716575.66852019968387e-112.83426009984194e-11
1110.9999999999520279.59452711342277e-114.79726355671138e-11
1120.9999999999686976.26063092478141e-113.1303154623907e-11
1130.9999999999446921.10615962898596e-105.5307981449298e-11
1140.9999999999152951.69409598497837e-108.47047992489185e-11
1150.9999999998977582.04484865110524e-101.02242432555262e-10
1160.9999999999463591.07282664479826e-105.3641332239913e-11
1170.9999999999221791.55641906634923e-107.78209533174615e-11
1180.9999999999259091.48181547544088e-107.40907737720442e-11
1190.9999999998690422.61915925847757e-101.30957962923879e-10
1200.9999999998338233.32354089775438e-101.66177044887719e-10
1210.999999999820813.58380415809649e-101.79190207904825e-10
1220.9999999996956656.08669580516063e-103.04334790258032e-10
1230.9999999995223199.55362253532274e-104.77681126766137e-10
1240.999999999305761.38847926036074e-096.94239630180372e-10
1250.9999999988170552.36589087946886e-091.18294543973443e-09
1260.9999999981109683.77806381612317e-091.88903190806159e-09
1270.9999999968170626.36587607813353e-093.18293803906676e-09
1280.9999999984713943.05721131242021e-091.52860565621011e-09
1290.9999999979611854.07762908414599e-092.03881454207299e-09
1300.9999999965863586.82728367370303e-093.41364183685152e-09
1310.9999999944538731.10922545069938e-085.54612725349692e-09
1320.9999999910521631.78956732042077e-088.94783660210383e-09
1330.9999999873615642.52768717921684e-081.26384358960842e-08
1340.9999999967294636.54107368898084e-093.27053684449042e-09
1350.999999998738242.52351962746881e-091.26175981373441e-09
1360.9999999991592431.68151340541669e-098.40756702708344e-10
1370.9999999985624332.87513438504852e-091.43756719252426e-09
1380.9999999981527833.69443392261795e-091.84721696130897e-09
1390.9999999974562595.08748240470233e-092.54374120235117e-09
1400.9999999964574347.0851321638131e-093.54256608190655e-09
1410.9999999939922031.20155936146007e-086.00779680730034e-09
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1440.9999999912242111.75515775706265e-088.77578878531327e-09
1450.9999999862934742.74130525014556e-081.37065262507278e-08
1460.9999999943774631.12450737925371e-085.62253689626856e-09
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1490.9999999916600681.66798640924412e-088.33993204622061e-09
1500.9999999864588582.70822841981158e-081.35411420990579e-08
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1520.999999970490715.90185800779377e-082.95092900389689e-08
1530.9999999702132425.95735165732614e-082.97867582866307e-08
1540.9999999959554888.08902486604801e-094.04451243302401e-09
1550.9999999982213783.55724375510824e-091.77862187755412e-09
1560.9999999975116154.97676950540533e-092.48838475270267e-09
1570.9999999974216875.15662579436484e-092.57831289718242e-09
1580.9999999967019146.59617235671367e-093.29808617835683e-09
1590.9999999944063091.11873814845115e-085.59369074225577e-09
1600.9999999999158981.682035564827e-108.41017782413501e-11
1610.9999999999084851.83030947910162e-109.15154739550812e-11
1620.9999999998834632.33073591390734e-101.16536795695367e-10
1630.9999999998116563.766884823369e-101.8834424116845e-10
1640.9999999999468031.06394316671346e-105.31971583356728e-11
1650.9999999999216511.5669782191449e-107.83489109572451e-11
1660.9999999998693642.61271317084547e-101.30635658542273e-10
1670.9999999998717332.56533865392443e-101.28266932696222e-10
1680.9999999998549562.90088438410404e-101.45044219205202e-10
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1700.9999999996626436.74714897436734e-103.37357448718367e-10
1710.9999999998040813.91836949153573e-101.95918474576786e-10
1720.999999999655486.89039901653725e-103.44519950826863e-10
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1740.999999999826963.46079096469899e-101.7303954823495e-10
1750.999999999982173.56605064023857e-111.78302532011929e-11
1760.9999999999665566.68882789253179e-113.3444139462659e-11
1770.9999999999636327.27352280587293e-113.63676140293647e-11
1780.9999999999316041.36791605728198e-106.83958028640989e-11
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1800.9999999998605392.7892239859395e-101.39461199296975e-10
1810.9999999997437585.1248426830301e-102.56242134151505e-10
1820.9999999995575338.84933084024782e-104.42466542012391e-10
1830.9999999992149911.57001770971769e-097.85008854858845e-10
1840.9999999986777432.64451418565563e-091.32225709282781e-09
1850.9999999994536761.09264778517864e-095.46323892589319e-10
1860.9999999990248551.95028987798567e-099.75144938992834e-10
1870.9999999990906191.81876281454045e-099.09381407270226e-10
1880.9999999983552573.28948530399463e-091.64474265199731e-09
1890.9999999993329021.33419618480002e-096.67098092400008e-10
1900.9999999988438252.31235078400659e-091.15617539200329e-09
1910.9999999979144234.17115378926223e-092.08557689463111e-09
1920.9999999969135296.1729423148071e-093.08647115740355e-09
1930.9999999946453091.07093823844723e-085.35469119223616e-09
1940.9999999922309361.5538127025611e-087.76906351280552e-09
1950.9999999858026082.83947842549211e-081.41973921274606e-08
1960.9999999767661814.64676380153608e-082.32338190076804e-08
1970.9999999626158997.47682025118337e-083.73841012559169e-08
1980.9999999349205881.30158824757495e-076.50794123787473e-08
1990.9999999284303391.43139321159906e-077.15696605799528e-08
2000.9999998745747482.50850504469775e-071.25425252234887e-07
2010.9999998019314153.96137168961323e-071.98068584480661e-07
2020.9999996574498366.85100328562304e-073.42550164281152e-07
2030.999999459041581.08191684077498e-065.40958420387491e-07
2040.9999991662589691.66748206186333e-068.33741030931666e-07
2050.9999988992794952.20144101063869e-061.10072050531934e-06
2060.9999981674472223.66510555554168e-061.83255277777084e-06
2070.9999981646178713.670764258299e-061.8353821291495e-06
2080.9999977583883194.48322336242143e-062.24161168121072e-06
2090.9999963158212567.36835748762156e-063.68417874381078e-06
2100.9999949879874211.00240251571142e-055.01201257855712e-06
2110.9999919396819391.61206361215005e-058.06031806075024e-06
2120.9999962321224147.53575517188184e-063.76787758594092e-06
2130.9999935785392761.28429214483341e-056.42146072416706e-06
2140.9999940379207221.19241585560316e-055.96207927801579e-06
2150.9999916813539961.66372920084161e-058.31864600420805e-06
2160.9999860480194332.79039611338505e-051.39519805669252e-05
2170.999981295545283.74089094409241e-051.87044547204621e-05
2180.9999921252612191.57494775619586e-057.87473878097931e-06
2190.9999886394208112.27211583782488e-051.13605791891244e-05
2200.9999807383269083.8523346184354e-051.9261673092177e-05
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2220.9999752432546714.95134906575931e-052.47567453287966e-05
2230.9999792915695234.14168609539036e-052.07084304769518e-05
2240.9999664163404876.71673190264953e-053.35836595132477e-05
2250.9999548096257169.03807485685158e-054.51903742842579e-05
2260.9999249157673110.0001501684653779887.50842326889938e-05
2270.9998818778167760.0002362443664477280.000118122183223864
2280.9998439303985960.0003121392028086050.000156069601404302
2290.9998613632796120.0002772734407769010.000138636720388451
2300.9999750560771814.98878456381743e-052.49439228190872e-05
2310.9999612025624147.75948751709906e-053.87974375854953e-05
2320.9999765218190614.69563618772996e-052.34781809386498e-05
2330.9999697274590566.05450818880151e-053.02725409440075e-05
2340.9999479072655880.0001041854688232155.20927344116075e-05
2350.9999549231879959.01536240093993e-054.50768120046997e-05
2360.9999231587490280.0001536825019438337.68412509719164e-05
2370.9998640483674490.0002719032651021670.000135951632551083
2380.9997862815167310.0004274369665383780.000213718483269189
2390.9996378898548940.0007242202902130170.000362110145106509
2400.9994932338433820.001013532313235290.000506766156617645
2410.9992382270633750.001523545873250380.00076177293662519
2420.9997743172858560.0004513654282878550.000225682714143928
2430.9995975614029290.0008048771941423930.000402438597071196
2440.9994134813880060.001173037223988560.000586518611994279
2450.9990196240600640.001960751879871930.000980375939935964
2460.9988675239796160.002264952040768710.00113247602038435
2470.9997718915253180.0004562169493648710.000228108474682435
2480.9996267766640540.0007464466718916520.000373223335945826
2490.9993582089886330.001283582022734260.00064179101136713
2500.9988927523000030.002214495399994340.00110724769999717
2510.998236405943290.003527188113419930.00176359405670997
2520.997012728705320.005974542589359040.00298727129467952
2530.9950613835236670.009877232952665230.00493861647633262
2540.9917513456305970.01649730873880690.00824865436940344
2550.9870703672135530.02585926557289460.0129296327864473
2560.9799642544466060.04007149110678850.0200357455533943
2570.9676783913713750.06464321725725010.0323216086286251
2580.9530894521515660.09382109569686730.0469105478484336
2590.927918828503830.144162342992340.0720811714961701
2600.8945529583445460.2108940833109080.105447041655454
2610.9176723671596210.1646552656807580.0823276328403791
2620.8903886260378650.219222747924270.109611373962135
2630.8691392681751820.2617214636496370.130860731824818
2640.805168790970970.389662418058060.19483120902903
2650.7336358854102270.5327282291795460.266364114589773
2660.6318553184271530.7362893631456940.368144681572847
2670.536034124867810.927931750264380.46396587513219
2680.6835449935755610.6329100128488770.316455006424439
2690.6200320928920580.7599358142158850.379967907107942
2700.8081900977600310.3836198044799380.191809902239969







Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1910.757936507936508NOK
5% type I error level1940.76984126984127NOK
10% type I error level1970.781746031746032NOK

\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 & 191 & 0.757936507936508 & NOK \tabularnewline
5% type I error level & 194 & 0.76984126984127 & NOK \tabularnewline
10% type I error level & 197 & 0.781746031746032 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=191153&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]191[/C][C]0.757936507936508[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]194[/C][C]0.76984126984127[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]197[/C][C]0.781746031746032[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=191153&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=191153&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 level1910.757936507936508NOK
5% type I error level1940.76984126984127NOK
10% type I error level1970.781746031746032NOK



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