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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_multipleregression.wasp

Title produced by software

Multiple Regression

Date of computation

Tue, 20 Nov 2012 11:35:26 -0500

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Nov/20/t1353429382m2aua33rnqb45ce.htm/, Retrieved Mon, 29 Apr 2024 19:39:10 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=191164, Retrieved Mon, 29 Apr 2024 19:39:10 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

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] [74be16979710d4c4e7c6647856088456]
-   P       [Multiple Regression] [months] [2012-11-20 16:35:26] [91c3d91830a25c0bc67fd9a0665302b1] [Current]

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Histogram

Boxplots

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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	21 seconds
R Server	'Sir Ronald Aylmer Fisher' @ fisher.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 & 21 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.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=191164&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]21 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.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=191164&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=191164&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	21 seconds
R Server	'Sir Ronald Aylmer Fisher' @ fisher.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
time_in_rfc[t] = -10951.2956510202 + 511.495392718109months[t] + 5.88841366293939pageviews[t] + 173.146068514387logins[t] + 112.119350898919compendium_views_info[t] + 14.8637514355731compendium_views_pr[t] -184.601599163686shared_compendiums[t] + 38.8141419849224blogged_computations[t] -898.04047408184compendiums_reviewed[t] + 372.01041184416feedback_messages_p1[t] + 187.761280839286feedback_messages_p120[t] -0.0988373354199493totsize[t] -0.813345053590217totrevisions[t] + 0.860948276288122totseconds[t] + 101.361266027476tothyperlinks[t] -91.2972497342494`totblogs\r`[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
time_in_rfc[t] =  -10951.2956510202 +  511.495392718109months[t] +  5.88841366293939pageviews[t] +  173.146068514387logins[t] +  112.119350898919compendium_views_info[t] +  14.8637514355731compendium_views_pr[t] -184.601599163686shared_compendiums[t] +  38.8141419849224blogged_computations[t] -898.04047408184compendiums_reviewed[t] +  372.01041184416feedback_messages_p1[t] +  187.761280839286feedback_messages_p120[t] -0.0988373354199493totsize[t] -0.813345053590217totrevisions[t] +  0.860948276288122totseconds[t] +  101.361266027476tothyperlinks[t] -91.2972497342494`totblogs\r`[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=191164&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]time_in_rfc[t] =  -10951.2956510202 +  511.495392718109months[t] +  5.88841366293939pageviews[t] +  173.146068514387logins[t] +  112.119350898919compendium_views_info[t] +  14.8637514355731compendium_views_pr[t] -184.601599163686shared_compendiums[t] +  38.8141419849224blogged_computations[t] -898.04047408184compendiums_reviewed[t] +  372.01041184416feedback_messages_p1[t] +  187.761280839286feedback_messages_p120[t] -0.0988373354199493totsize[t] -0.813345053590217totrevisions[t] +  0.860948276288122totseconds[t] +  101.361266027476tothyperlinks[t] -91.2972497342494`totblogs\r`[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=191164&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=191164&T=1

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Estimated Regression Equation
time_in_rfc[t] = -10951.2956510202 + 511.495392718109months[t] + 5.88841366293939pageviews[t] + 173.146068514387logins[t] + 112.119350898919compendium_views_info[t] + 14.8637514355731compendium_views_pr[t] -184.601599163686shared_compendiums[t] + 38.8141419849224blogged_computations[t] -898.04047408184compendiums_reviewed[t] + 372.01041184416feedback_messages_p1[t] + 187.761280839286feedback_messages_p120[t] -0.0988373354199493totsize[t] -0.813345053590217totrevisions[t] + 0.860948276288122totseconds[t] + 101.361266027476tothyperlinks[t] -91.2972497342494`totblogs\r`[t] + e[t]

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	-10951.2956510202	22630.039919	-0.4839	0.628825	0.314413
months	511.495392718109	2069.361859	0.2472	0.804958	0.402479
pageviews	5.88841366293939	8.17143	0.7206	0.471766	0.235883
logins	173.146068514387	61.127236	2.8326	0.004962	0.002481
compendium_views_info	112.119350898919	17.484239	6.4126	0	0
compendium_views_pr	14.8637514355731	33.170496	0.4481	0.654435	0.327218
shared_compendiums	-184.601599163686	564.227375	-0.3272	0.743786	0.371893
blogged_computations	38.8141419849224	92.417474	0.42	0.674825	0.337413
compendiums_reviewed	-898.04047408184	701.209862	-1.2807	0.201386	0.100693
feedback_messages_p1	372.01041184416	211.031981	1.7628	0.07905	0.039525
feedback_messages_p120	187.761280839286	104.186949	1.8022	0.072624	0.036312
totsize	-0.0988373354199493	0.064854	-1.524	0.128668	0.064334
totrevisions	-0.813345053590217	0.319117	-2.5487	0.011359	0.00568
totseconds	0.860948276288122	0.072037	11.9515	0	0
tothyperlinks	101.361266027476	437.461468	0.2317	0.816942	0.408471
`totblogs\r`	-91.2972497342494	453.411492	-0.2014	0.84057	0.420285

\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) & -10951.2956510202 & 22630.039919 & -0.4839 & 0.628825 & 0.314413 \tabularnewline
months & 511.495392718109 & 2069.361859 & 0.2472 & 0.804958 & 0.402479 \tabularnewline
pageviews & 5.88841366293939 & 8.17143 & 0.7206 & 0.471766 & 0.235883 \tabularnewline
logins & 173.146068514387 & 61.127236 & 2.8326 & 0.004962 & 0.002481 \tabularnewline
compendium_views_info & 112.119350898919 & 17.484239 & 6.4126 & 0 & 0 \tabularnewline
compendium_views_pr & 14.8637514355731 & 33.170496 & 0.4481 & 0.654435 & 0.327218 \tabularnewline
shared_compendiums & -184.601599163686 & 564.227375 & -0.3272 & 0.743786 & 0.371893 \tabularnewline
blogged_computations & 38.8141419849224 & 92.417474 & 0.42 & 0.674825 & 0.337413 \tabularnewline
compendiums_reviewed & -898.04047408184 & 701.209862 & -1.2807 & 0.201386 & 0.100693 \tabularnewline
feedback_messages_p1 & 372.01041184416 & 211.031981 & 1.7628 & 0.07905 & 0.039525 \tabularnewline
feedback_messages_p120 & 187.761280839286 & 104.186949 & 1.8022 & 0.072624 & 0.036312 \tabularnewline
totsize & -0.0988373354199493 & 0.064854 & -1.524 & 0.128668 & 0.064334 \tabularnewline
totrevisions & -0.813345053590217 & 0.319117 & -2.5487 & 0.011359 & 0.00568 \tabularnewline
totseconds & 0.860948276288122 & 0.072037 & 11.9515 & 0 & 0 \tabularnewline
tothyperlinks & 101.361266027476 & 437.461468 & 0.2317 & 0.816942 & 0.408471 \tabularnewline
`totblogs\r` & -91.2972497342494 & 453.411492 & -0.2014 & 0.84057 & 0.420285 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=191164&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]-10951.2956510202[/C][C]22630.039919[/C][C]-0.4839[/C][C]0.628825[/C][C]0.314413[/C][/ROW]
[ROW][C]months[/C][C]511.495392718109[/C][C]2069.361859[/C][C]0.2472[/C][C]0.804958[/C][C]0.402479[/C][/ROW]
[ROW][C]pageviews[/C][C]5.88841366293939[/C][C]8.17143[/C][C]0.7206[/C][C]0.471766[/C][C]0.235883[/C][/ROW]
[ROW][C]logins[/C][C]173.146068514387[/C][C]61.127236[/C][C]2.8326[/C][C]0.004962[/C][C]0.002481[/C][/ROW]
[ROW][C]compendium_views_info[/C][C]112.119350898919[/C][C]17.484239[/C][C]6.4126[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]compendium_views_pr[/C][C]14.8637514355731[/C][C]33.170496[/C][C]0.4481[/C][C]0.654435[/C][C]0.327218[/C][/ROW]
[ROW][C]shared_compendiums[/C][C]-184.601599163686[/C][C]564.227375[/C][C]-0.3272[/C][C]0.743786[/C][C]0.371893[/C][/ROW]
[ROW][C]blogged_computations[/C][C]38.8141419849224[/C][C]92.417474[/C][C]0.42[/C][C]0.674825[/C][C]0.337413[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]-898.04047408184[/C][C]701.209862[/C][C]-1.2807[/C][C]0.201386[/C][C]0.100693[/C][/ROW]
[ROW][C]feedback_messages_p1[/C][C]372.01041184416[/C][C]211.031981[/C][C]1.7628[/C][C]0.07905[/C][C]0.039525[/C][/ROW]
[ROW][C]feedback_messages_p120[/C][C]187.761280839286[/C][C]104.186949[/C][C]1.8022[/C][C]0.072624[/C][C]0.036312[/C][/ROW]
[ROW][C]totsize[/C][C]-0.0988373354199493[/C][C]0.064854[/C][C]-1.524[/C][C]0.128668[/C][C]0.064334[/C][/ROW]
[ROW][C]totrevisions[/C][C]-0.813345053590217[/C][C]0.319117[/C][C]-2.5487[/C][C]0.011359[/C][C]0.00568[/C][/ROW]
[ROW][C]totseconds[/C][C]0.860948276288122[/C][C]0.072037[/C][C]11.9515[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]tothyperlinks[/C][C]101.361266027476[/C][C]437.461468[/C][C]0.2317[/C][C]0.816942[/C][C]0.408471[/C][/ROW]
[ROW][C]`totblogs\r`[/C][C]-91.2972497342494[/C][C]453.411492[/C][C]-0.2014[/C][C]0.84057[/C][C]0.420285[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=191164&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=191164&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
Variable	Parameter	S.D.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	-10951.2956510202	22630.039919	-0.4839	0.628825	0.314413
months	511.495392718109	2069.361859	0.2472	0.804958	0.402479
pageviews	5.88841366293939	8.17143	0.7206	0.471766	0.235883
logins	173.146068514387	61.127236	2.8326	0.004962	0.002481
compendium_views_info	112.119350898919	17.484239	6.4126	0	0
compendium_views_pr	14.8637514355731	33.170496	0.4481	0.654435	0.327218
shared_compendiums	-184.601599163686	564.227375	-0.3272	0.743786	0.371893
blogged_computations	38.8141419849224	92.417474	0.42	0.674825	0.337413
compendiums_reviewed	-898.04047408184	701.209862	-1.2807	0.201386	0.100693
feedback_messages_p1	372.01041184416	211.031981	1.7628	0.07905	0.039525
feedback_messages_p120	187.761280839286	104.186949	1.8022	0.072624	0.036312
totsize	-0.0988373354199493	0.064854	-1.524	0.128668	0.064334
totrevisions	-0.813345053590217	0.319117	-2.5487	0.011359	0.00568
totseconds	0.860948276288122	0.072037	11.9515	0	0
tothyperlinks	101.361266027476	437.461468	0.2317	0.816942	0.408471
`totblogs\r`	-91.2972497342494	453.411492	-0.2014	0.84057	0.420285

Multiple Linear Regression - Regression Statistics
Multiple R	0.966923616973006
R-squared	0.934941281060161
Adjusted R-squared	0.931366626173356
F-TEST (value)	261.547285169106
F-TEST (DF numerator)	15
F-TEST (DF denominator)	273
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	21571.2544684416
Sum Squared Residuals	127032092280.437

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.966923616973006 \tabularnewline
R-squared & 0.934941281060161 \tabularnewline
Adjusted R-squared & 0.931366626173356 \tabularnewline
F-TEST (value) & 261.547285169106 \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 & 21571.2544684416 \tabularnewline
Sum Squared Residuals & 127032092280.437 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=191164&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.966923616973006[/C][/ROW]
[ROW][C]R-squared[/C][C]0.934941281060161[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.931366626173356[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]261.547285169106[/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]21571.2544684416[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]127032092280.437[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=191164&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=191164&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 R	0.966923616973006
R-squared	0.934941281060161
Adjusted R-squared	0.931366626173356
F-TEST (value)	261.547285169106
F-TEST (DF numerator)	15
F-TEST (DF denominator)	273
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	21571.2544684416
Sum Squared Residuals	127032092280.437

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	210907	189832.27350726	21074.7264927399
2	120982	141501.783062223	-20519.7830622232
3	176508	168637.941139624	7870.05886037602
4	179321	220328.023305593	-41007.0233055934
5	123185	111674.566240181	11510.4337598191
6	52746	66931.5363787526	-14185.5363787526
7	385534	371230.972026735	14303.0279732647
8	33170	27420.3932241672	5749.60677583283
9	101645	81714.295443153	19930.704556847
10	149061	166945.44715555	-17884.4471555495
11	165446	147635.869085014	17810.1309149861
12	237213	240165.13157163	-2952.13157162963
13	173326	167598.614930824	5727.38506917588
14	133131	136647.215484987	-3516.21548498702
15	258873	218410.330926207	40462.6690737927
16	180083	172898.156403941	7184.8435960589
17	324799	368368.802020331	-43569.8020203314
18	230964	206527.620182864	24436.3798171359
19	236785	229092.447796109	7692.55220389149
20	135473	133469.343623704	2003.6563762962
21	202925	196509.854868954	6415.14513104625
22	215147	199293.907914967	15853.0920850329
23	344297	257018.040023132	87278.9599768676
24	153935	146289.77590777	7645.2240922296
25	132943	154887.956667932	-21944.9566679317
26	174724	226365.549554785	-51641.5495547851
27	174415	212180.03823443	-37765.0382344301
28	225548	255430.449083089	-29882.4490830889
29	223632	206157.027282525	17474.9727174752
30	124817	128837.259058382	-4020.25905838241
31	221698	267840.398952304	-46142.3989523038
32	210767	218921.993801587	-8154.99380158656
33	170266	175550.086988119	-5284.08698811852
34	260561	255190.899841444	5370.10015855552
35	84853	85388.9156252232	-535.91562522319
36	294424	291148.019864268	3275.98013573245
37	101011	96000.2684176394	5010.73158236056
38	215641	207853.659250497	7787.34074950272
39	325107	288364.927589582	36742.0724104185
40	7176	6583.78593319639	592.214066803613
41	167542	157398.080842558	10143.9191574419
42	106408	83548.3438856408	22859.6561143592
43	96560	108327.458109482	-11767.4581094818
44	265769	269769.114688636	-4000.1146886358
45	269651	279623.745511277	-9972.74551127696
46	149112	150054.504692811	-942.504692810707
47	175824	189045.562470828	-13221.5624708282
48	152871	169810.789125928	-16939.7891259285
49	111665	101436.846224498	10228.1537755024
50	116408	169183.293332158	-52775.2933321575
51	362301	322206.45609078	40094.5439092204
52	78800	103670.764635863	-24870.7646358629
53	183167	187629.647031037	-4462.64703103728
54	277965	322468.805059133	-44503.8050591329
55	150629	188639.919256093	-38010.9192560927
56	168809	191712.909472264	-22903.9094722637
57	24188	38212.0453806306	-14024.0453806306
58	329267	296292.905378795	32974.0946212054
59	65029	65670.7335983901	-641.733598390092
60	101097	110957.030803782	-9860.03080378165
61	218946	209859.172132797	9086.82786720346
62	244052	241006.697411149	3045.30258885086
63	341570	337210.328860103	4359.67113989687
64	103597	99597.5705220028	3999.42947799719
65	233328	265839.766429624	-32511.7664296243
66	256462	271113.021082367	-14651.0210823667
67	206161	157930.185032586	48230.8149674143
68	311473	323072.601831231	-11599.6018312309
69	235800	263722.543254482	-27922.5432544822
70	177939	204727.281877977	-26788.281877977
71	207176	194843.70150444	12332.29849556
72	196553	181457.851151687	15095.1488483128
73	174184	165328.268555469	8855.73144453144
74	143246	148056.071693338	-4810.07169333764
75	187559	220464.586826021	-32905.5868260206
76	187681	181072.230233468	6608.76976653221
77	119016	134402.286810797	-15386.2868107965
78	182192	194145.622665524	-11953.6226655243
79	73566	88788.0815412735	-15222.0815412735
80	194979	191963.54609595	3015.45390405032
81	167488	156754.388462515	10733.6115374852
82	143756	153698.200608815	-9942.20060881486
83	275541	204968.565799032	70572.4342009682
84	243199	226903.874496661	16295.1255033388
85	182999	183945.58346429	-946.583464290071
86	135649	141057.988963114	-5408.98896311413
87	152299	150308.833532284	1990.16646771581
88	120221	132916.787429097	-12695.7874290974
89	346485	271272.153147978	75212.8468520218
90	145790	164950.728882137	-19160.728882137
91	193339	156125.757295086	37213.2427049139
92	80953	99968.8179789344	-19015.8179789344
93	122774	136303.064777935	-13529.0647779345
94	130585	111675.030701976	18909.9692980237
95	112611	103041.45770338	9569.54229661983
96	286468	277302.573941471	9165.42605852947
97	241066	223727.822427679	17338.1775723208
98	148446	200463.666186244	-52017.6661862437
99	204713	186736.206738236	17976.793261764
100	182079	175236.759547709	6842.2404522905
101	140344	143208.692541536	-2864.69254153569
102	220516	216256.192350499	4259.8076495007
103	243060	210433.535722261	32626.4642777387
104	162765	150317.232821327	12447.7671786733
105	182613	176472.199278294	6140.800721706
106	232138	234967.917065516	-2829.9170655165
107	265318	295994.854552669	-30676.854552669
108	85574	86621.7381717911	-1047.73817179111
109	310839	300911.718576021	9927.28142397862
110	225060	200337.747623107	24722.2523768927
111	232317	249011.35109983	-16694.35109983
112	144966	152496.8967057	-7530.89670569967
113	43287	52941.4248560254	-9654.42485602538
114	155754	151718.317746306	4035.68225369357
115	164709	179370.891094752	-14661.8910947518
116	201940	211551.556760118	-9611.55676011824
117	235454	229828.036438621	5625.9635613795
118	220801	185931.844357742	34869.1556422576
119	99466	161420.04444496	-61954.0444449599
120	92661	101402.194674261	-8741.19467426087
121	133328	132340.735519449	987.26448055132
122	61361	89404.5818848671	-28043.5818848671
123	125930	154873.31006947	-28943.3100694699
124	100750	139098.963484371	-38348.9634843706
125	224549	199822.191703638	24726.8082963618
126	82316	73369.6791142246	8946.32088577543
127	102010	95401.6674761951	6608.33252380488
128	101523	100248.199960662	1274.80003933751
129	243511	196398.247307137	47112.7526928628
130	22938	19995.8566651045	2942.14333489553
131	41566	41105.6858117659	460.314188234068
132	152474	165933.428147922	-13459.4281479224
133	61857	47428.9727523584	14428.0272476416
134	99923	137286.258199196	-37363.2581991964
135	132487	137352.157165068	-4865.15716506773
136	317394	323766.614828986	-6372.61482898559
137	21054	21149.259762857	-95.2597628569918
138	209641	197373.565185724	12267.4348142761
139	22648	33877.7846302176	-11229.7846302176
140	31414	34432.1099201922	-3018.10992019223
141	46698	64709.022254342	-18011.022254342
142	131698	143007.119220747	-11309.1192207469
143	91735	76642.5362802294	15092.4637197706
144	244749	278102.2368392	-33353.2368392
145	184510	153736.188539044	30773.811460956
146	79863	87271.1329463148	-7408.13294631476
147	128423	102693.870658165	25729.1293418353
148	97839	112789.369836052	-14950.369836052
149	38214	52334.0385886833	-14120.0385886833
150	151101	146212.571737975	4888.42826202505
151	272458	248518.075741129	23939.924258871
152	172494	177999.888110442	-5505.88811044209
153	108043	114151.886456527	-6108.88645652745
154	328107	330168.464176226	-2061.46417622639
155	250579	281819.42271817	-31240.4227181696
156	351067	333667.724254701	17399.2757452991
157	158015	155445.800232659	2569.19976734121
158	98866	86679.531502614	12186.468497386
159	85439	110135.366805853	-24696.3668058533
160	229242	218836.32251813	10405.6774818698
161	351619	352575.959962256	-956.959962255972
162	84207	73320.860260735	10886.139739265
163	120445	122075.750984274	-1630.75098427391
164	324598	303226.171651512	21371.8283484879
165	131069	144806.947854177	-13737.9478541773
166	204271	188957.845891451	15313.1541085485
167	165543	178335.74063664	-12792.7406366404
168	141722	116854.760670549	24867.2393294512
169	116048	113858.618467606	2189.38153239372
170	250047	176740.369038243	73306.6309617567
171	299775	290689.10428302	9085.89571698029
172	195838	185117.248949069	10720.7510509308
173	173260	127770.70505127	45489.2949487298
174	254488	223715.211693644	30772.7883063556
175	104389	142554.235657493	-38165.2356574926
176	136084	138733.908523797	-2649.90852379718
177	199476	224433.271424032	-24957.2714240321
178	92499	79645.6015482786	12853.3984517214
179	224330	223187.322257703	1142.67774229733
180	135781	108379.341494807	27401.6585051927
181	74408	85545.751020155	-11137.751020155
182	81240	103633.189886815	-22393.1898868154
183	14688	11422.0088997685	3265.99110023149
184	181633	168619.95587551	13013.0441244897
185	271856	271486.57965265	369.420347349526
186	7199	7587.4711436271	-388.471143627101
187	46660	49896.4410015173	-3236.44100151729
188	17547	9065.28650489949	8481.71349510051
189	133368	138360.985709645	-4992.98570964449
190	95227	63806.1220181448	31420.8779818552
191	152601	106665.009550923	45935.9904490766
192	98146	96453.1499857767	1692.85001422329
193	79619	89455.546388809	-9836.54638880903
194	59194	73680.9772560942	-14486.9772560942
195	139942	160648.785985715	-20706.7859857154
196	118612	107585.881460876	11026.118539124
197	72880	87367.2868769645	-14487.2868769645
198	65475	62300.5297458289	3174.47025417107
199	99643	121927.743060681	-22284.7430606806
200	71965	69175.9677649635	2789.03223503654
201	77272	72160.9144596388	5111.08554036122
202	49289	42778.6124357301	6510.38756426987
203	135131	112530.37007813	22600.6299218703
204	108446	113163.97840237	-4717.97840236963
205	89746	113295.937546345	-23549.9375463454
206	44296	48243.5888848629	-3947.58888486291
207	77648	73959.9595555878	3688.04044441223
208	181528	148824.327053529	32703.6729464706
209	134019	111347.686415048	22671.313584952
210	124064	127665.131894394	-3601.13189439415
211	92630	93297.5353371916	-667.535337191645
212	121848	90898.8616598336	30949.1383401664
213	52915	52462.0420874815	452.957912518491
214	81872	84597.6981209015	-2725.69812090146
215	58981	75228.1892570224	-16247.1892570224
216	53515	68108.6814396305	-14593.6814396305
217	60812	90723.1198545551	-29911.1198545551
218	56375	63783.4927772445	-7408.49277724451
219	65490	71793.8982641111	-6303.89826411108
220	80949	66351.6598622197	14597.3401377803
221	76302	93142.2141601066	-16840.2141601066
222	104011	148241.572955207	-44230.5729552074
223	98104	138908.239146876	-40804.2391468757
224	67989	72127.7712674511	-4138.77126745105
225	30989	29884.0748503635	1104.9251496365
226	135458	133263.618275391	2194.38172460868
227	73504	61425.2915822326	12078.7084177674
228	63123	79911.51807337	-16788.51807337
229	61254	67342.0817416591	-6088.08174165907
230	74914	97581.5221513152	-22667.5221513152
231	31774	42406.9674832663	-10632.9674832663
232	81437	86917.2152460776	-5480.21524607759
233	87186	134049.34020532	-46863.3402053203
234	50090	56289.5117143774	-6199.51171437739
235	65745	79666.8720924883	-13921.8720924883
236	56653	55620.1149616463	1032.88503835371
237	158399	109108.383966496	49290.6160335038
238	46455	58751.2593342178	-12296.2593342178
239	73624	85415.8553495383	-11791.8553495383
240	38395	51014.5219823273	-12619.5219823273
241	91899	86636.9942624417	5262.00573755828
242	139526	135699.709887662	3826.29011233806
243	52164	59257.5521979979	-7093.5521979979
244	51567	53267.1161339934	-1700.11613399341
245	70551	77550.6020290661	-6999.6020290661
246	84856	94131.6832232431	-9275.68322324306
247	102538	118843.873971304	-16305.8739713037
248	86678	79279.1080638602	7398.89193613982
249	85709	73499.6514925916	12209.3485074084
250	34662	43748.2925737262	-9086.29257372616
251	150580	146646.761034811	3933.23896518901
252	99611	97128.7838221364	2482.21617786363
253	19349	13357.6880728752	5991.3119271248
254	99373	94366.4499952314	5006.55000476859
255	86230	101295.76845893	-15065.7684589304
256	30837	26011.0262598362	4825.97374016379
257	31706	39611.3366006378	-7905.33660063777
258	89806	69483.3114182993	20322.6885817007
259	62088	51494.6045563498	10593.3954436502
260	40151	38723.6359844691	1427.36401553094
261	27634	35643.1190903982	-8009.11909039823
262	76990	75889.0560664966	1100.94393350339
263	37460	22573.1862665096	14886.8137334904
264	54157	53074.510750714	1082.489249286
265	49862	55725.8753243736	-5863.87532437363
266	84337	80858.1321007595	3478.86789924052
267	64175	77291.5314334182	-13116.5314334182
268	59382	58377.4514970372	1004.54850296279
269	119308	85801.4848968261	33506.5151031739
270	76702	83720.7513288405	-7018.75132884053
271	103425	104270.596578231	-845.596578231344
272	70344	67609.7486404928	2734.25135950724
273	43410	37017.4915350754	6392.50846492462
274	104838	99763.5403758473	5074.45962415266
275	62215	52483.7847958651	9731.21520413487
276	69304	69837.9911069025	-533.991106902461
277	53117	33398.3024539273	19718.6975460727
278	19764	15370.7739691515	4393.22603084851
279	86680	94380.4393791133	-7700.4393791133
280	84105	71507.0232858989	12597.9767141011
281	77945	75288.0243539105	2656.97564608954
282	89113	58326.3977897806	30786.6022102194
283	91005	79763.3855628823	11241.6144371177
284	40248	28701.9985787794	11546.0014212206
285	64187	58792.1029511563	5394.89704884375
286	50857	45251.0568862341	5605.94311376595
287	56613	48483.0665289766	8129.93347102344
288	62792	66885.5600646797	-4093.56006467968
289	72535	82142.9509087187	-9607.9509087187

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 210907 & 189832.27350726 & 21074.7264927399 \tabularnewline
2 & 120982 & 141501.783062223 & -20519.7830622232 \tabularnewline
3 & 176508 & 168637.941139624 & 7870.05886037602 \tabularnewline
4 & 179321 & 220328.023305593 & -41007.0233055934 \tabularnewline
5 & 123185 & 111674.566240181 & 11510.4337598191 \tabularnewline
6 & 52746 & 66931.5363787526 & -14185.5363787526 \tabularnewline
7 & 385534 & 371230.972026735 & 14303.0279732647 \tabularnewline
8 & 33170 & 27420.3932241672 & 5749.60677583283 \tabularnewline
9 & 101645 & 81714.295443153 & 19930.704556847 \tabularnewline
10 & 149061 & 166945.44715555 & -17884.4471555495 \tabularnewline
11 & 165446 & 147635.869085014 & 17810.1309149861 \tabularnewline
12 & 237213 & 240165.13157163 & -2952.13157162963 \tabularnewline
13 & 173326 & 167598.614930824 & 5727.38506917588 \tabularnewline
14 & 133131 & 136647.215484987 & -3516.21548498702 \tabularnewline
15 & 258873 & 218410.330926207 & 40462.6690737927 \tabularnewline
16 & 180083 & 172898.156403941 & 7184.8435960589 \tabularnewline
17 & 324799 & 368368.802020331 & -43569.8020203314 \tabularnewline
18 & 230964 & 206527.620182864 & 24436.3798171359 \tabularnewline
19 & 236785 & 229092.447796109 & 7692.55220389149 \tabularnewline
20 & 135473 & 133469.343623704 & 2003.6563762962 \tabularnewline
21 & 202925 & 196509.854868954 & 6415.14513104625 \tabularnewline
22 & 215147 & 199293.907914967 & 15853.0920850329 \tabularnewline
23 & 344297 & 257018.040023132 & 87278.9599768676 \tabularnewline
24 & 153935 & 146289.77590777 & 7645.2240922296 \tabularnewline
25 & 132943 & 154887.956667932 & -21944.9566679317 \tabularnewline
26 & 174724 & 226365.549554785 & -51641.5495547851 \tabularnewline
27 & 174415 & 212180.03823443 & -37765.0382344301 \tabularnewline
28 & 225548 & 255430.449083089 & -29882.4490830889 \tabularnewline
29 & 223632 & 206157.027282525 & 17474.9727174752 \tabularnewline
30 & 124817 & 128837.259058382 & -4020.25905838241 \tabularnewline
31 & 221698 & 267840.398952304 & -46142.3989523038 \tabularnewline
32 & 210767 & 218921.993801587 & -8154.99380158656 \tabularnewline
33 & 170266 & 175550.086988119 & -5284.08698811852 \tabularnewline
34 & 260561 & 255190.899841444 & 5370.10015855552 \tabularnewline
35 & 84853 & 85388.9156252232 & -535.91562522319 \tabularnewline
36 & 294424 & 291148.019864268 & 3275.98013573245 \tabularnewline
37 & 101011 & 96000.2684176394 & 5010.73158236056 \tabularnewline
38 & 215641 & 207853.659250497 & 7787.34074950272 \tabularnewline
39 & 325107 & 288364.927589582 & 36742.0724104185 \tabularnewline
40 & 7176 & 6583.78593319639 & 592.214066803613 \tabularnewline
41 & 167542 & 157398.080842558 & 10143.9191574419 \tabularnewline
42 & 106408 & 83548.3438856408 & 22859.6561143592 \tabularnewline
43 & 96560 & 108327.458109482 & -11767.4581094818 \tabularnewline
44 & 265769 & 269769.114688636 & -4000.1146886358 \tabularnewline
45 & 269651 & 279623.745511277 & -9972.74551127696 \tabularnewline
46 & 149112 & 150054.504692811 & -942.504692810707 \tabularnewline
47 & 175824 & 189045.562470828 & -13221.5624708282 \tabularnewline
48 & 152871 & 169810.789125928 & -16939.7891259285 \tabularnewline
49 & 111665 & 101436.846224498 & 10228.1537755024 \tabularnewline
50 & 116408 & 169183.293332158 & -52775.2933321575 \tabularnewline
51 & 362301 & 322206.45609078 & 40094.5439092204 \tabularnewline
52 & 78800 & 103670.764635863 & -24870.7646358629 \tabularnewline
53 & 183167 & 187629.647031037 & -4462.64703103728 \tabularnewline
54 & 277965 & 322468.805059133 & -44503.8050591329 \tabularnewline
55 & 150629 & 188639.919256093 & -38010.9192560927 \tabularnewline
56 & 168809 & 191712.909472264 & -22903.9094722637 \tabularnewline
57 & 24188 & 38212.0453806306 & -14024.0453806306 \tabularnewline
58 & 329267 & 296292.905378795 & 32974.0946212054 \tabularnewline
59 & 65029 & 65670.7335983901 & -641.733598390092 \tabularnewline
60 & 101097 & 110957.030803782 & -9860.03080378165 \tabularnewline
61 & 218946 & 209859.172132797 & 9086.82786720346 \tabularnewline
62 & 244052 & 241006.697411149 & 3045.30258885086 \tabularnewline
63 & 341570 & 337210.328860103 & 4359.67113989687 \tabularnewline
64 & 103597 & 99597.5705220028 & 3999.42947799719 \tabularnewline
65 & 233328 & 265839.766429624 & -32511.7664296243 \tabularnewline
66 & 256462 & 271113.021082367 & -14651.0210823667 \tabularnewline
67 & 206161 & 157930.185032586 & 48230.8149674143 \tabularnewline
68 & 311473 & 323072.601831231 & -11599.6018312309 \tabularnewline
69 & 235800 & 263722.543254482 & -27922.5432544822 \tabularnewline
70 & 177939 & 204727.281877977 & -26788.281877977 \tabularnewline
71 & 207176 & 194843.70150444 & 12332.29849556 \tabularnewline
72 & 196553 & 181457.851151687 & 15095.1488483128 \tabularnewline
73 & 174184 & 165328.268555469 & 8855.73144453144 \tabularnewline
74 & 143246 & 148056.071693338 & -4810.07169333764 \tabularnewline
75 & 187559 & 220464.586826021 & -32905.5868260206 \tabularnewline
76 & 187681 & 181072.230233468 & 6608.76976653221 \tabularnewline
77 & 119016 & 134402.286810797 & -15386.2868107965 \tabularnewline
78 & 182192 & 194145.622665524 & -11953.6226655243 \tabularnewline
79 & 73566 & 88788.0815412735 & -15222.0815412735 \tabularnewline
80 & 194979 & 191963.54609595 & 3015.45390405032 \tabularnewline
81 & 167488 & 156754.388462515 & 10733.6115374852 \tabularnewline
82 & 143756 & 153698.200608815 & -9942.20060881486 \tabularnewline
83 & 275541 & 204968.565799032 & 70572.4342009682 \tabularnewline
84 & 243199 & 226903.874496661 & 16295.1255033388 \tabularnewline
85 & 182999 & 183945.58346429 & -946.583464290071 \tabularnewline
86 & 135649 & 141057.988963114 & -5408.98896311413 \tabularnewline
87 & 152299 & 150308.833532284 & 1990.16646771581 \tabularnewline
88 & 120221 & 132916.787429097 & -12695.7874290974 \tabularnewline
89 & 346485 & 271272.153147978 & 75212.8468520218 \tabularnewline
90 & 145790 & 164950.728882137 & -19160.728882137 \tabularnewline
91 & 193339 & 156125.757295086 & 37213.2427049139 \tabularnewline
92 & 80953 & 99968.8179789344 & -19015.8179789344 \tabularnewline
93 & 122774 & 136303.064777935 & -13529.0647779345 \tabularnewline
94 & 130585 & 111675.030701976 & 18909.9692980237 \tabularnewline
95 & 112611 & 103041.45770338 & 9569.54229661983 \tabularnewline
96 & 286468 & 277302.573941471 & 9165.42605852947 \tabularnewline
97 & 241066 & 223727.822427679 & 17338.1775723208 \tabularnewline
98 & 148446 & 200463.666186244 & -52017.6661862437 \tabularnewline
99 & 204713 & 186736.206738236 & 17976.793261764 \tabularnewline
100 & 182079 & 175236.759547709 & 6842.2404522905 \tabularnewline
101 & 140344 & 143208.692541536 & -2864.69254153569 \tabularnewline
102 & 220516 & 216256.192350499 & 4259.8076495007 \tabularnewline
103 & 243060 & 210433.535722261 & 32626.4642777387 \tabularnewline
104 & 162765 & 150317.232821327 & 12447.7671786733 \tabularnewline
105 & 182613 & 176472.199278294 & 6140.800721706 \tabularnewline
106 & 232138 & 234967.917065516 & -2829.9170655165 \tabularnewline
107 & 265318 & 295994.854552669 & -30676.854552669 \tabularnewline
108 & 85574 & 86621.7381717911 & -1047.73817179111 \tabularnewline
109 & 310839 & 300911.718576021 & 9927.28142397862 \tabularnewline
110 & 225060 & 200337.747623107 & 24722.2523768927 \tabularnewline
111 & 232317 & 249011.35109983 & -16694.35109983 \tabularnewline
112 & 144966 & 152496.8967057 & -7530.89670569967 \tabularnewline
113 & 43287 & 52941.4248560254 & -9654.42485602538 \tabularnewline
114 & 155754 & 151718.317746306 & 4035.68225369357 \tabularnewline
115 & 164709 & 179370.891094752 & -14661.8910947518 \tabularnewline
116 & 201940 & 211551.556760118 & -9611.55676011824 \tabularnewline
117 & 235454 & 229828.036438621 & 5625.9635613795 \tabularnewline
118 & 220801 & 185931.844357742 & 34869.1556422576 \tabularnewline
119 & 99466 & 161420.04444496 & -61954.0444449599 \tabularnewline
120 & 92661 & 101402.194674261 & -8741.19467426087 \tabularnewline
121 & 133328 & 132340.735519449 & 987.26448055132 \tabularnewline
122 & 61361 & 89404.5818848671 & -28043.5818848671 \tabularnewline
123 & 125930 & 154873.31006947 & -28943.3100694699 \tabularnewline
124 & 100750 & 139098.963484371 & -38348.9634843706 \tabularnewline
125 & 224549 & 199822.191703638 & 24726.8082963618 \tabularnewline
126 & 82316 & 73369.6791142246 & 8946.32088577543 \tabularnewline
127 & 102010 & 95401.6674761951 & 6608.33252380488 \tabularnewline
128 & 101523 & 100248.199960662 & 1274.80003933751 \tabularnewline
129 & 243511 & 196398.247307137 & 47112.7526928628 \tabularnewline
130 & 22938 & 19995.8566651045 & 2942.14333489553 \tabularnewline
131 & 41566 & 41105.6858117659 & 460.314188234068 \tabularnewline
132 & 152474 & 165933.428147922 & -13459.4281479224 \tabularnewline
133 & 61857 & 47428.9727523584 & 14428.0272476416 \tabularnewline
134 & 99923 & 137286.258199196 & -37363.2581991964 \tabularnewline
135 & 132487 & 137352.157165068 & -4865.15716506773 \tabularnewline
136 & 317394 & 323766.614828986 & -6372.61482898559 \tabularnewline
137 & 21054 & 21149.259762857 & -95.2597628569918 \tabularnewline
138 & 209641 & 197373.565185724 & 12267.4348142761 \tabularnewline
139 & 22648 & 33877.7846302176 & -11229.7846302176 \tabularnewline
140 & 31414 & 34432.1099201922 & -3018.10992019223 \tabularnewline
141 & 46698 & 64709.022254342 & -18011.022254342 \tabularnewline
142 & 131698 & 143007.119220747 & -11309.1192207469 \tabularnewline
143 & 91735 & 76642.5362802294 & 15092.4637197706 \tabularnewline
144 & 244749 & 278102.2368392 & -33353.2368392 \tabularnewline
145 & 184510 & 153736.188539044 & 30773.811460956 \tabularnewline
146 & 79863 & 87271.1329463148 & -7408.13294631476 \tabularnewline
147 & 128423 & 102693.870658165 & 25729.1293418353 \tabularnewline
148 & 97839 & 112789.369836052 & -14950.369836052 \tabularnewline
149 & 38214 & 52334.0385886833 & -14120.0385886833 \tabularnewline
150 & 151101 & 146212.571737975 & 4888.42826202505 \tabularnewline
151 & 272458 & 248518.075741129 & 23939.924258871 \tabularnewline
152 & 172494 & 177999.888110442 & -5505.88811044209 \tabularnewline
153 & 108043 & 114151.886456527 & -6108.88645652745 \tabularnewline
154 & 328107 & 330168.464176226 & -2061.46417622639 \tabularnewline
155 & 250579 & 281819.42271817 & -31240.4227181696 \tabularnewline
156 & 351067 & 333667.724254701 & 17399.2757452991 \tabularnewline
157 & 158015 & 155445.800232659 & 2569.19976734121 \tabularnewline
158 & 98866 & 86679.531502614 & 12186.468497386 \tabularnewline
159 & 85439 & 110135.366805853 & -24696.3668058533 \tabularnewline
160 & 229242 & 218836.32251813 & 10405.6774818698 \tabularnewline
161 & 351619 & 352575.959962256 & -956.959962255972 \tabularnewline
162 & 84207 & 73320.860260735 & 10886.139739265 \tabularnewline
163 & 120445 & 122075.750984274 & -1630.75098427391 \tabularnewline
164 & 324598 & 303226.171651512 & 21371.8283484879 \tabularnewline
165 & 131069 & 144806.947854177 & -13737.9478541773 \tabularnewline
166 & 204271 & 188957.845891451 & 15313.1541085485 \tabularnewline
167 & 165543 & 178335.74063664 & -12792.7406366404 \tabularnewline
168 & 141722 & 116854.760670549 & 24867.2393294512 \tabularnewline
169 & 116048 & 113858.618467606 & 2189.38153239372 \tabularnewline
170 & 250047 & 176740.369038243 & 73306.6309617567 \tabularnewline
171 & 299775 & 290689.10428302 & 9085.89571698029 \tabularnewline
172 & 195838 & 185117.248949069 & 10720.7510509308 \tabularnewline
173 & 173260 & 127770.70505127 & 45489.2949487298 \tabularnewline
174 & 254488 & 223715.211693644 & 30772.7883063556 \tabularnewline
175 & 104389 & 142554.235657493 & -38165.2356574926 \tabularnewline
176 & 136084 & 138733.908523797 & -2649.90852379718 \tabularnewline
177 & 199476 & 224433.271424032 & -24957.2714240321 \tabularnewline
178 & 92499 & 79645.6015482786 & 12853.3984517214 \tabularnewline
179 & 224330 & 223187.322257703 & 1142.67774229733 \tabularnewline
180 & 135781 & 108379.341494807 & 27401.6585051927 \tabularnewline
181 & 74408 & 85545.751020155 & -11137.751020155 \tabularnewline
182 & 81240 & 103633.189886815 & -22393.1898868154 \tabularnewline
183 & 14688 & 11422.0088997685 & 3265.99110023149 \tabularnewline
184 & 181633 & 168619.95587551 & 13013.0441244897 \tabularnewline
185 & 271856 & 271486.57965265 & 369.420347349526 \tabularnewline
186 & 7199 & 7587.4711436271 & -388.471143627101 \tabularnewline
187 & 46660 & 49896.4410015173 & -3236.44100151729 \tabularnewline
188 & 17547 & 9065.28650489949 & 8481.71349510051 \tabularnewline
189 & 133368 & 138360.985709645 & -4992.98570964449 \tabularnewline
190 & 95227 & 63806.1220181448 & 31420.8779818552 \tabularnewline
191 & 152601 & 106665.009550923 & 45935.9904490766 \tabularnewline
192 & 98146 & 96453.1499857767 & 1692.85001422329 \tabularnewline
193 & 79619 & 89455.546388809 & -9836.54638880903 \tabularnewline
194 & 59194 & 73680.9772560942 & -14486.9772560942 \tabularnewline
195 & 139942 & 160648.785985715 & -20706.7859857154 \tabularnewline
196 & 118612 & 107585.881460876 & 11026.118539124 \tabularnewline
197 & 72880 & 87367.2868769645 & -14487.2868769645 \tabularnewline
198 & 65475 & 62300.5297458289 & 3174.47025417107 \tabularnewline
199 & 99643 & 121927.743060681 & -22284.7430606806 \tabularnewline
200 & 71965 & 69175.9677649635 & 2789.03223503654 \tabularnewline
201 & 77272 & 72160.9144596388 & 5111.08554036122 \tabularnewline
202 & 49289 & 42778.6124357301 & 6510.38756426987 \tabularnewline
203 & 135131 & 112530.37007813 & 22600.6299218703 \tabularnewline
204 & 108446 & 113163.97840237 & -4717.97840236963 \tabularnewline
205 & 89746 & 113295.937546345 & -23549.9375463454 \tabularnewline
206 & 44296 & 48243.5888848629 & -3947.58888486291 \tabularnewline
207 & 77648 & 73959.9595555878 & 3688.04044441223 \tabularnewline
208 & 181528 & 148824.327053529 & 32703.6729464706 \tabularnewline
209 & 134019 & 111347.686415048 & 22671.313584952 \tabularnewline
210 & 124064 & 127665.131894394 & -3601.13189439415 \tabularnewline
211 & 92630 & 93297.5353371916 & -667.535337191645 \tabularnewline
212 & 121848 & 90898.8616598336 & 30949.1383401664 \tabularnewline
213 & 52915 & 52462.0420874815 & 452.957912518491 \tabularnewline
214 & 81872 & 84597.6981209015 & -2725.69812090146 \tabularnewline
215 & 58981 & 75228.1892570224 & -16247.1892570224 \tabularnewline
216 & 53515 & 68108.6814396305 & -14593.6814396305 \tabularnewline
217 & 60812 & 90723.1198545551 & -29911.1198545551 \tabularnewline
218 & 56375 & 63783.4927772445 & -7408.49277724451 \tabularnewline
219 & 65490 & 71793.8982641111 & -6303.89826411108 \tabularnewline
220 & 80949 & 66351.6598622197 & 14597.3401377803 \tabularnewline
221 & 76302 & 93142.2141601066 & -16840.2141601066 \tabularnewline
222 & 104011 & 148241.572955207 & -44230.5729552074 \tabularnewline
223 & 98104 & 138908.239146876 & -40804.2391468757 \tabularnewline
224 & 67989 & 72127.7712674511 & -4138.77126745105 \tabularnewline
225 & 30989 & 29884.0748503635 & 1104.9251496365 \tabularnewline
226 & 135458 & 133263.618275391 & 2194.38172460868 \tabularnewline
227 & 73504 & 61425.2915822326 & 12078.7084177674 \tabularnewline
228 & 63123 & 79911.51807337 & -16788.51807337 \tabularnewline
229 & 61254 & 67342.0817416591 & -6088.08174165907 \tabularnewline
230 & 74914 & 97581.5221513152 & -22667.5221513152 \tabularnewline
231 & 31774 & 42406.9674832663 & -10632.9674832663 \tabularnewline
232 & 81437 & 86917.2152460776 & -5480.21524607759 \tabularnewline
233 & 87186 & 134049.34020532 & -46863.3402053203 \tabularnewline
234 & 50090 & 56289.5117143774 & -6199.51171437739 \tabularnewline
235 & 65745 & 79666.8720924883 & -13921.8720924883 \tabularnewline
236 & 56653 & 55620.1149616463 & 1032.88503835371 \tabularnewline
237 & 158399 & 109108.383966496 & 49290.6160335038 \tabularnewline
238 & 46455 & 58751.2593342178 & -12296.2593342178 \tabularnewline
239 & 73624 & 85415.8553495383 & -11791.8553495383 \tabularnewline
240 & 38395 & 51014.5219823273 & -12619.5219823273 \tabularnewline
241 & 91899 & 86636.9942624417 & 5262.00573755828 \tabularnewline
242 & 139526 & 135699.709887662 & 3826.29011233806 \tabularnewline
243 & 52164 & 59257.5521979979 & -7093.5521979979 \tabularnewline
244 & 51567 & 53267.1161339934 & -1700.11613399341 \tabularnewline
245 & 70551 & 77550.6020290661 & -6999.6020290661 \tabularnewline
246 & 84856 & 94131.6832232431 & -9275.68322324306 \tabularnewline
247 & 102538 & 118843.873971304 & -16305.8739713037 \tabularnewline
248 & 86678 & 79279.1080638602 & 7398.89193613982 \tabularnewline
249 & 85709 & 73499.6514925916 & 12209.3485074084 \tabularnewline
250 & 34662 & 43748.2925737262 & -9086.29257372616 \tabularnewline
251 & 150580 & 146646.761034811 & 3933.23896518901 \tabularnewline
252 & 99611 & 97128.7838221364 & 2482.21617786363 \tabularnewline
253 & 19349 & 13357.6880728752 & 5991.3119271248 \tabularnewline
254 & 99373 & 94366.4499952314 & 5006.55000476859 \tabularnewline
255 & 86230 & 101295.76845893 & -15065.7684589304 \tabularnewline
256 & 30837 & 26011.0262598362 & 4825.97374016379 \tabularnewline
257 & 31706 & 39611.3366006378 & -7905.33660063777 \tabularnewline
258 & 89806 & 69483.3114182993 & 20322.6885817007 \tabularnewline
259 & 62088 & 51494.6045563498 & 10593.3954436502 \tabularnewline
260 & 40151 & 38723.6359844691 & 1427.36401553094 \tabularnewline
261 & 27634 & 35643.1190903982 & -8009.11909039823 \tabularnewline
262 & 76990 & 75889.0560664966 & 1100.94393350339 \tabularnewline
263 & 37460 & 22573.1862665096 & 14886.8137334904 \tabularnewline
264 & 54157 & 53074.510750714 & 1082.489249286 \tabularnewline
265 & 49862 & 55725.8753243736 & -5863.87532437363 \tabularnewline
266 & 84337 & 80858.1321007595 & 3478.86789924052 \tabularnewline
267 & 64175 & 77291.5314334182 & -13116.5314334182 \tabularnewline
268 & 59382 & 58377.4514970372 & 1004.54850296279 \tabularnewline
269 & 119308 & 85801.4848968261 & 33506.5151031739 \tabularnewline
270 & 76702 & 83720.7513288405 & -7018.75132884053 \tabularnewline
271 & 103425 & 104270.596578231 & -845.596578231344 \tabularnewline
272 & 70344 & 67609.7486404928 & 2734.25135950724 \tabularnewline
273 & 43410 & 37017.4915350754 & 6392.50846492462 \tabularnewline
274 & 104838 & 99763.5403758473 & 5074.45962415266 \tabularnewline
275 & 62215 & 52483.7847958651 & 9731.21520413487 \tabularnewline
276 & 69304 & 69837.9911069025 & -533.991106902461 \tabularnewline
277 & 53117 & 33398.3024539273 & 19718.6975460727 \tabularnewline
278 & 19764 & 15370.7739691515 & 4393.22603084851 \tabularnewline
279 & 86680 & 94380.4393791133 & -7700.4393791133 \tabularnewline
280 & 84105 & 71507.0232858989 & 12597.9767141011 \tabularnewline
281 & 77945 & 75288.0243539105 & 2656.97564608954 \tabularnewline
282 & 89113 & 58326.3977897806 & 30786.6022102194 \tabularnewline
283 & 91005 & 79763.3855628823 & 11241.6144371177 \tabularnewline
284 & 40248 & 28701.9985787794 & 11546.0014212206 \tabularnewline
285 & 64187 & 58792.1029511563 & 5394.89704884375 \tabularnewline
286 & 50857 & 45251.0568862341 & 5605.94311376595 \tabularnewline
287 & 56613 & 48483.0665289766 & 8129.93347102344 \tabularnewline
288 & 62792 & 66885.5600646797 & -4093.56006467968 \tabularnewline
289 & 72535 & 82142.9509087187 & -9607.9509087187 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=191164&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]210907[/C][C]189832.27350726[/C][C]21074.7264927399[/C][/ROW]
[ROW][C]2[/C][C]120982[/C][C]141501.783062223[/C][C]-20519.7830622232[/C][/ROW]
[ROW][C]3[/C][C]176508[/C][C]168637.941139624[/C][C]7870.05886037602[/C][/ROW]
[ROW][C]4[/C][C]179321[/C][C]220328.023305593[/C][C]-41007.0233055934[/C][/ROW]
[ROW][C]5[/C][C]123185[/C][C]111674.566240181[/C][C]11510.4337598191[/C][/ROW]
[ROW][C]6[/C][C]52746[/C][C]66931.5363787526[/C][C]-14185.5363787526[/C][/ROW]
[ROW][C]7[/C][C]385534[/C][C]371230.972026735[/C][C]14303.0279732647[/C][/ROW]
[ROW][C]8[/C][C]33170[/C][C]27420.3932241672[/C][C]5749.60677583283[/C][/ROW]
[ROW][C]9[/C][C]101645[/C][C]81714.295443153[/C][C]19930.704556847[/C][/ROW]
[ROW][C]10[/C][C]149061[/C][C]166945.44715555[/C][C]-17884.4471555495[/C][/ROW]
[ROW][C]11[/C][C]165446[/C][C]147635.869085014[/C][C]17810.1309149861[/C][/ROW]
[ROW][C]12[/C][C]237213[/C][C]240165.13157163[/C][C]-2952.13157162963[/C][/ROW]
[ROW][C]13[/C][C]173326[/C][C]167598.614930824[/C][C]5727.38506917588[/C][/ROW]
[ROW][C]14[/C][C]133131[/C][C]136647.215484987[/C][C]-3516.21548498702[/C][/ROW]
[ROW][C]15[/C][C]258873[/C][C]218410.330926207[/C][C]40462.6690737927[/C][/ROW]
[ROW][C]16[/C][C]180083[/C][C]172898.156403941[/C][C]7184.8435960589[/C][/ROW]
[ROW][C]17[/C][C]324799[/C][C]368368.802020331[/C][C]-43569.8020203314[/C][/ROW]
[ROW][C]18[/C][C]230964[/C][C]206527.620182864[/C][C]24436.3798171359[/C][/ROW]
[ROW][C]19[/C][C]236785[/C][C]229092.447796109[/C][C]7692.55220389149[/C][/ROW]
[ROW][C]20[/C][C]135473[/C][C]133469.343623704[/C][C]2003.6563762962[/C][/ROW]
[ROW][C]21[/C][C]202925[/C][C]196509.854868954[/C][C]6415.14513104625[/C][/ROW]
[ROW][C]22[/C][C]215147[/C][C]199293.907914967[/C][C]15853.0920850329[/C][/ROW]
[ROW][C]23[/C][C]344297[/C][C]257018.040023132[/C][C]87278.9599768676[/C][/ROW]
[ROW][C]24[/C][C]153935[/C][C]146289.77590777[/C][C]7645.2240922296[/C][/ROW]
[ROW][C]25[/C][C]132943[/C][C]154887.956667932[/C][C]-21944.9566679317[/C][/ROW]
[ROW][C]26[/C][C]174724[/C][C]226365.549554785[/C][C]-51641.5495547851[/C][/ROW]
[ROW][C]27[/C][C]174415[/C][C]212180.03823443[/C][C]-37765.0382344301[/C][/ROW]
[ROW][C]28[/C][C]225548[/C][C]255430.449083089[/C][C]-29882.4490830889[/C][/ROW]
[ROW][C]29[/C][C]223632[/C][C]206157.027282525[/C][C]17474.9727174752[/C][/ROW]
[ROW][C]30[/C][C]124817[/C][C]128837.259058382[/C][C]-4020.25905838241[/C][/ROW]
[ROW][C]31[/C][C]221698[/C][C]267840.398952304[/C][C]-46142.3989523038[/C][/ROW]
[ROW][C]32[/C][C]210767[/C][C]218921.993801587[/C][C]-8154.99380158656[/C][/ROW]
[ROW][C]33[/C][C]170266[/C][C]175550.086988119[/C][C]-5284.08698811852[/C][/ROW]
[ROW][C]34[/C][C]260561[/C][C]255190.899841444[/C][C]5370.10015855552[/C][/ROW]
[ROW][C]35[/C][C]84853[/C][C]85388.9156252232[/C][C]-535.91562522319[/C][/ROW]
[ROW][C]36[/C][C]294424[/C][C]291148.019864268[/C][C]3275.98013573245[/C][/ROW]
[ROW][C]37[/C][C]101011[/C][C]96000.2684176394[/C][C]5010.73158236056[/C][/ROW]
[ROW][C]38[/C][C]215641[/C][C]207853.659250497[/C][C]7787.34074950272[/C][/ROW]
[ROW][C]39[/C][C]325107[/C][C]288364.927589582[/C][C]36742.0724104185[/C][/ROW]
[ROW][C]40[/C][C]7176[/C][C]6583.78593319639[/C][C]592.214066803613[/C][/ROW]
[ROW][C]41[/C][C]167542[/C][C]157398.080842558[/C][C]10143.9191574419[/C][/ROW]
[ROW][C]42[/C][C]106408[/C][C]83548.3438856408[/C][C]22859.6561143592[/C][/ROW]
[ROW][C]43[/C][C]96560[/C][C]108327.458109482[/C][C]-11767.4581094818[/C][/ROW]
[ROW][C]44[/C][C]265769[/C][C]269769.114688636[/C][C]-4000.1146886358[/C][/ROW]
[ROW][C]45[/C][C]269651[/C][C]279623.745511277[/C][C]-9972.74551127696[/C][/ROW]
[ROW][C]46[/C][C]149112[/C][C]150054.504692811[/C][C]-942.504692810707[/C][/ROW]
[ROW][C]47[/C][C]175824[/C][C]189045.562470828[/C][C]-13221.5624708282[/C][/ROW]
[ROW][C]48[/C][C]152871[/C][C]169810.789125928[/C][C]-16939.7891259285[/C][/ROW]
[ROW][C]49[/C][C]111665[/C][C]101436.846224498[/C][C]10228.1537755024[/C][/ROW]
[ROW][C]50[/C][C]116408[/C][C]169183.293332158[/C][C]-52775.2933321575[/C][/ROW]
[ROW][C]51[/C][C]362301[/C][C]322206.45609078[/C][C]40094.5439092204[/C][/ROW]
[ROW][C]52[/C][C]78800[/C][C]103670.764635863[/C][C]-24870.7646358629[/C][/ROW]
[ROW][C]53[/C][C]183167[/C][C]187629.647031037[/C][C]-4462.64703103728[/C][/ROW]
[ROW][C]54[/C][C]277965[/C][C]322468.805059133[/C][C]-44503.8050591329[/C][/ROW]
[ROW][C]55[/C][C]150629[/C][C]188639.919256093[/C][C]-38010.9192560927[/C][/ROW]
[ROW][C]56[/C][C]168809[/C][C]191712.909472264[/C][C]-22903.9094722637[/C][/ROW]
[ROW][C]57[/C][C]24188[/C][C]38212.0453806306[/C][C]-14024.0453806306[/C][/ROW]
[ROW][C]58[/C][C]329267[/C][C]296292.905378795[/C][C]32974.0946212054[/C][/ROW]
[ROW][C]59[/C][C]65029[/C][C]65670.7335983901[/C][C]-641.733598390092[/C][/ROW]
[ROW][C]60[/C][C]101097[/C][C]110957.030803782[/C][C]-9860.03080378165[/C][/ROW]
[ROW][C]61[/C][C]218946[/C][C]209859.172132797[/C][C]9086.82786720346[/C][/ROW]
[ROW][C]62[/C][C]244052[/C][C]241006.697411149[/C][C]3045.30258885086[/C][/ROW]
[ROW][C]63[/C][C]341570[/C][C]337210.328860103[/C][C]4359.67113989687[/C][/ROW]
[ROW][C]64[/C][C]103597[/C][C]99597.5705220028[/C][C]3999.42947799719[/C][/ROW]
[ROW][C]65[/C][C]233328[/C][C]265839.766429624[/C][C]-32511.7664296243[/C][/ROW]
[ROW][C]66[/C][C]256462[/C][C]271113.021082367[/C][C]-14651.0210823667[/C][/ROW]
[ROW][C]67[/C][C]206161[/C][C]157930.185032586[/C][C]48230.8149674143[/C][/ROW]
[ROW][C]68[/C][C]311473[/C][C]323072.601831231[/C][C]-11599.6018312309[/C][/ROW]
[ROW][C]69[/C][C]235800[/C][C]263722.543254482[/C][C]-27922.5432544822[/C][/ROW]
[ROW][C]70[/C][C]177939[/C][C]204727.281877977[/C][C]-26788.281877977[/C][/ROW]
[ROW][C]71[/C][C]207176[/C][C]194843.70150444[/C][C]12332.29849556[/C][/ROW]
[ROW][C]72[/C][C]196553[/C][C]181457.851151687[/C][C]15095.1488483128[/C][/ROW]
[ROW][C]73[/C][C]174184[/C][C]165328.268555469[/C][C]8855.73144453144[/C][/ROW]
[ROW][C]74[/C][C]143246[/C][C]148056.071693338[/C][C]-4810.07169333764[/C][/ROW]
[ROW][C]75[/C][C]187559[/C][C]220464.586826021[/C][C]-32905.5868260206[/C][/ROW]
[ROW][C]76[/C][C]187681[/C][C]181072.230233468[/C][C]6608.76976653221[/C][/ROW]
[ROW][C]77[/C][C]119016[/C][C]134402.286810797[/C][C]-15386.2868107965[/C][/ROW]
[ROW][C]78[/C][C]182192[/C][C]194145.622665524[/C][C]-11953.6226655243[/C][/ROW]
[ROW][C]79[/C][C]73566[/C][C]88788.0815412735[/C][C]-15222.0815412735[/C][/ROW]
[ROW][C]80[/C][C]194979[/C][C]191963.54609595[/C][C]3015.45390405032[/C][/ROW]
[ROW][C]81[/C][C]167488[/C][C]156754.388462515[/C][C]10733.6115374852[/C][/ROW]
[ROW][C]82[/C][C]143756[/C][C]153698.200608815[/C][C]-9942.20060881486[/C][/ROW]
[ROW][C]83[/C][C]275541[/C][C]204968.565799032[/C][C]70572.4342009682[/C][/ROW]
[ROW][C]84[/C][C]243199[/C][C]226903.874496661[/C][C]16295.1255033388[/C][/ROW]
[ROW][C]85[/C][C]182999[/C][C]183945.58346429[/C][C]-946.583464290071[/C][/ROW]
[ROW][C]86[/C][C]135649[/C][C]141057.988963114[/C][C]-5408.98896311413[/C][/ROW]
[ROW][C]87[/C][C]152299[/C][C]150308.833532284[/C][C]1990.16646771581[/C][/ROW]
[ROW][C]88[/C][C]120221[/C][C]132916.787429097[/C][C]-12695.7874290974[/C][/ROW]
[ROW][C]89[/C][C]346485[/C][C]271272.153147978[/C][C]75212.8468520218[/C][/ROW]
[ROW][C]90[/C][C]145790[/C][C]164950.728882137[/C][C]-19160.728882137[/C][/ROW]
[ROW][C]91[/C][C]193339[/C][C]156125.757295086[/C][C]37213.2427049139[/C][/ROW]
[ROW][C]92[/C][C]80953[/C][C]99968.8179789344[/C][C]-19015.8179789344[/C][/ROW]
[ROW][C]93[/C][C]122774[/C][C]136303.064777935[/C][C]-13529.0647779345[/C][/ROW]
[ROW][C]94[/C][C]130585[/C][C]111675.030701976[/C][C]18909.9692980237[/C][/ROW]
[ROW][C]95[/C][C]112611[/C][C]103041.45770338[/C][C]9569.54229661983[/C][/ROW]
[ROW][C]96[/C][C]286468[/C][C]277302.573941471[/C][C]9165.42605852947[/C][/ROW]
[ROW][C]97[/C][C]241066[/C][C]223727.822427679[/C][C]17338.1775723208[/C][/ROW]
[ROW][C]98[/C][C]148446[/C][C]200463.666186244[/C][C]-52017.6661862437[/C][/ROW]
[ROW][C]99[/C][C]204713[/C][C]186736.206738236[/C][C]17976.793261764[/C][/ROW]
[ROW][C]100[/C][C]182079[/C][C]175236.759547709[/C][C]6842.2404522905[/C][/ROW]
[ROW][C]101[/C][C]140344[/C][C]143208.692541536[/C][C]-2864.69254153569[/C][/ROW]
[ROW][C]102[/C][C]220516[/C][C]216256.192350499[/C][C]4259.8076495007[/C][/ROW]
[ROW][C]103[/C][C]243060[/C][C]210433.535722261[/C][C]32626.4642777387[/C][/ROW]
[ROW][C]104[/C][C]162765[/C][C]150317.232821327[/C][C]12447.7671786733[/C][/ROW]
[ROW][C]105[/C][C]182613[/C][C]176472.199278294[/C][C]6140.800721706[/C][/ROW]
[ROW][C]106[/C][C]232138[/C][C]234967.917065516[/C][C]-2829.9170655165[/C][/ROW]
[ROW][C]107[/C][C]265318[/C][C]295994.854552669[/C][C]-30676.854552669[/C][/ROW]
[ROW][C]108[/C][C]85574[/C][C]86621.7381717911[/C][C]-1047.73817179111[/C][/ROW]
[ROW][C]109[/C][C]310839[/C][C]300911.718576021[/C][C]9927.28142397862[/C][/ROW]
[ROW][C]110[/C][C]225060[/C][C]200337.747623107[/C][C]24722.2523768927[/C][/ROW]
[ROW][C]111[/C][C]232317[/C][C]249011.35109983[/C][C]-16694.35109983[/C][/ROW]
[ROW][C]112[/C][C]144966[/C][C]152496.8967057[/C][C]-7530.89670569967[/C][/ROW]
[ROW][C]113[/C][C]43287[/C][C]52941.4248560254[/C][C]-9654.42485602538[/C][/ROW]
[ROW][C]114[/C][C]155754[/C][C]151718.317746306[/C][C]4035.68225369357[/C][/ROW]
[ROW][C]115[/C][C]164709[/C][C]179370.891094752[/C][C]-14661.8910947518[/C][/ROW]
[ROW][C]116[/C][C]201940[/C][C]211551.556760118[/C][C]-9611.55676011824[/C][/ROW]
[ROW][C]117[/C][C]235454[/C][C]229828.036438621[/C][C]5625.9635613795[/C][/ROW]
[ROW][C]118[/C][C]220801[/C][C]185931.844357742[/C][C]34869.1556422576[/C][/ROW]
[ROW][C]119[/C][C]99466[/C][C]161420.04444496[/C][C]-61954.0444449599[/C][/ROW]
[ROW][C]120[/C][C]92661[/C][C]101402.194674261[/C][C]-8741.19467426087[/C][/ROW]
[ROW][C]121[/C][C]133328[/C][C]132340.735519449[/C][C]987.26448055132[/C][/ROW]
[ROW][C]122[/C][C]61361[/C][C]89404.5818848671[/C][C]-28043.5818848671[/C][/ROW]
[ROW][C]123[/C][C]125930[/C][C]154873.31006947[/C][C]-28943.3100694699[/C][/ROW]
[ROW][C]124[/C][C]100750[/C][C]139098.963484371[/C][C]-38348.9634843706[/C][/ROW]
[ROW][C]125[/C][C]224549[/C][C]199822.191703638[/C][C]24726.8082963618[/C][/ROW]
[ROW][C]126[/C][C]82316[/C][C]73369.6791142246[/C][C]8946.32088577543[/C][/ROW]
[ROW][C]127[/C][C]102010[/C][C]95401.6674761951[/C][C]6608.33252380488[/C][/ROW]
[ROW][C]128[/C][C]101523[/C][C]100248.199960662[/C][C]1274.80003933751[/C][/ROW]
[ROW][C]129[/C][C]243511[/C][C]196398.247307137[/C][C]47112.7526928628[/C][/ROW]
[ROW][C]130[/C][C]22938[/C][C]19995.8566651045[/C][C]2942.14333489553[/C][/ROW]
[ROW][C]131[/C][C]41566[/C][C]41105.6858117659[/C][C]460.314188234068[/C][/ROW]
[ROW][C]132[/C][C]152474[/C][C]165933.428147922[/C][C]-13459.4281479224[/C][/ROW]
[ROW][C]133[/C][C]61857[/C][C]47428.9727523584[/C][C]14428.0272476416[/C][/ROW]
[ROW][C]134[/C][C]99923[/C][C]137286.258199196[/C][C]-37363.2581991964[/C][/ROW]
[ROW][C]135[/C][C]132487[/C][C]137352.157165068[/C][C]-4865.15716506773[/C][/ROW]
[ROW][C]136[/C][C]317394[/C][C]323766.614828986[/C][C]-6372.61482898559[/C][/ROW]
[ROW][C]137[/C][C]21054[/C][C]21149.259762857[/C][C]-95.2597628569918[/C][/ROW]
[ROW][C]138[/C][C]209641[/C][C]197373.565185724[/C][C]12267.4348142761[/C][/ROW]
[ROW][C]139[/C][C]22648[/C][C]33877.7846302176[/C][C]-11229.7846302176[/C][/ROW]
[ROW][C]140[/C][C]31414[/C][C]34432.1099201922[/C][C]-3018.10992019223[/C][/ROW]
[ROW][C]141[/C][C]46698[/C][C]64709.022254342[/C][C]-18011.022254342[/C][/ROW]
[ROW][C]142[/C][C]131698[/C][C]143007.119220747[/C][C]-11309.1192207469[/C][/ROW]
[ROW][C]143[/C][C]91735[/C][C]76642.5362802294[/C][C]15092.4637197706[/C][/ROW]
[ROW][C]144[/C][C]244749[/C][C]278102.2368392[/C][C]-33353.2368392[/C][/ROW]
[ROW][C]145[/C][C]184510[/C][C]153736.188539044[/C][C]30773.811460956[/C][/ROW]
[ROW][C]146[/C][C]79863[/C][C]87271.1329463148[/C][C]-7408.13294631476[/C][/ROW]
[ROW][C]147[/C][C]128423[/C][C]102693.870658165[/C][C]25729.1293418353[/C][/ROW]
[ROW][C]148[/C][C]97839[/C][C]112789.369836052[/C][C]-14950.369836052[/C][/ROW]
[ROW][C]149[/C][C]38214[/C][C]52334.0385886833[/C][C]-14120.0385886833[/C][/ROW]
[ROW][C]150[/C][C]151101[/C][C]146212.571737975[/C][C]4888.42826202505[/C][/ROW]
[ROW][C]151[/C][C]272458[/C][C]248518.075741129[/C][C]23939.924258871[/C][/ROW]
[ROW][C]152[/C][C]172494[/C][C]177999.888110442[/C][C]-5505.88811044209[/C][/ROW]
[ROW][C]153[/C][C]108043[/C][C]114151.886456527[/C][C]-6108.88645652745[/C][/ROW]
[ROW][C]154[/C][C]328107[/C][C]330168.464176226[/C][C]-2061.46417622639[/C][/ROW]
[ROW][C]155[/C][C]250579[/C][C]281819.42271817[/C][C]-31240.4227181696[/C][/ROW]
[ROW][C]156[/C][C]351067[/C][C]333667.724254701[/C][C]17399.2757452991[/C][/ROW]
[ROW][C]157[/C][C]158015[/C][C]155445.800232659[/C][C]2569.19976734121[/C][/ROW]
[ROW][C]158[/C][C]98866[/C][C]86679.531502614[/C][C]12186.468497386[/C][/ROW]
[ROW][C]159[/C][C]85439[/C][C]110135.366805853[/C][C]-24696.3668058533[/C][/ROW]
[ROW][C]160[/C][C]229242[/C][C]218836.32251813[/C][C]10405.6774818698[/C][/ROW]
[ROW][C]161[/C][C]351619[/C][C]352575.959962256[/C][C]-956.959962255972[/C][/ROW]
[ROW][C]162[/C][C]84207[/C][C]73320.860260735[/C][C]10886.139739265[/C][/ROW]
[ROW][C]163[/C][C]120445[/C][C]122075.750984274[/C][C]-1630.75098427391[/C][/ROW]
[ROW][C]164[/C][C]324598[/C][C]303226.171651512[/C][C]21371.8283484879[/C][/ROW]
[ROW][C]165[/C][C]131069[/C][C]144806.947854177[/C][C]-13737.9478541773[/C][/ROW]
[ROW][C]166[/C][C]204271[/C][C]188957.845891451[/C][C]15313.1541085485[/C][/ROW]
[ROW][C]167[/C][C]165543[/C][C]178335.74063664[/C][C]-12792.7406366404[/C][/ROW]
[ROW][C]168[/C][C]141722[/C][C]116854.760670549[/C][C]24867.2393294512[/C][/ROW]
[ROW][C]169[/C][C]116048[/C][C]113858.618467606[/C][C]2189.38153239372[/C][/ROW]
[ROW][C]170[/C][C]250047[/C][C]176740.369038243[/C][C]73306.6309617567[/C][/ROW]
[ROW][C]171[/C][C]299775[/C][C]290689.10428302[/C][C]9085.89571698029[/C][/ROW]
[ROW][C]172[/C][C]195838[/C][C]185117.248949069[/C][C]10720.7510509308[/C][/ROW]
[ROW][C]173[/C][C]173260[/C][C]127770.70505127[/C][C]45489.2949487298[/C][/ROW]
[ROW][C]174[/C][C]254488[/C][C]223715.211693644[/C][C]30772.7883063556[/C][/ROW]
[ROW][C]175[/C][C]104389[/C][C]142554.235657493[/C][C]-38165.2356574926[/C][/ROW]
[ROW][C]176[/C][C]136084[/C][C]138733.908523797[/C][C]-2649.90852379718[/C][/ROW]
[ROW][C]177[/C][C]199476[/C][C]224433.271424032[/C][C]-24957.2714240321[/C][/ROW]
[ROW][C]178[/C][C]92499[/C][C]79645.6015482786[/C][C]12853.3984517214[/C][/ROW]
[ROW][C]179[/C][C]224330[/C][C]223187.322257703[/C][C]1142.67774229733[/C][/ROW]
[ROW][C]180[/C][C]135781[/C][C]108379.341494807[/C][C]27401.6585051927[/C][/ROW]
[ROW][C]181[/C][C]74408[/C][C]85545.751020155[/C][C]-11137.751020155[/C][/ROW]
[ROW][C]182[/C][C]81240[/C][C]103633.189886815[/C][C]-22393.1898868154[/C][/ROW]
[ROW][C]183[/C][C]14688[/C][C]11422.0088997685[/C][C]3265.99110023149[/C][/ROW]
[ROW][C]184[/C][C]181633[/C][C]168619.95587551[/C][C]13013.0441244897[/C][/ROW]
[ROW][C]185[/C][C]271856[/C][C]271486.57965265[/C][C]369.420347349526[/C][/ROW]
[ROW][C]186[/C][C]7199[/C][C]7587.4711436271[/C][C]-388.471143627101[/C][/ROW]
[ROW][C]187[/C][C]46660[/C][C]49896.4410015173[/C][C]-3236.44100151729[/C][/ROW]
[ROW][C]188[/C][C]17547[/C][C]9065.28650489949[/C][C]8481.71349510051[/C][/ROW]
[ROW][C]189[/C][C]133368[/C][C]138360.985709645[/C][C]-4992.98570964449[/C][/ROW]
[ROW][C]190[/C][C]95227[/C][C]63806.1220181448[/C][C]31420.8779818552[/C][/ROW]
[ROW][C]191[/C][C]152601[/C][C]106665.009550923[/C][C]45935.9904490766[/C][/ROW]
[ROW][C]192[/C][C]98146[/C][C]96453.1499857767[/C][C]1692.85001422329[/C][/ROW]
[ROW][C]193[/C][C]79619[/C][C]89455.546388809[/C][C]-9836.54638880903[/C][/ROW]
[ROW][C]194[/C][C]59194[/C][C]73680.9772560942[/C][C]-14486.9772560942[/C][/ROW]
[ROW][C]195[/C][C]139942[/C][C]160648.785985715[/C][C]-20706.7859857154[/C][/ROW]
[ROW][C]196[/C][C]118612[/C][C]107585.881460876[/C][C]11026.118539124[/C][/ROW]
[ROW][C]197[/C][C]72880[/C][C]87367.2868769645[/C][C]-14487.2868769645[/C][/ROW]
[ROW][C]198[/C][C]65475[/C][C]62300.5297458289[/C][C]3174.47025417107[/C][/ROW]
[ROW][C]199[/C][C]99643[/C][C]121927.743060681[/C][C]-22284.7430606806[/C][/ROW]
[ROW][C]200[/C][C]71965[/C][C]69175.9677649635[/C][C]2789.03223503654[/C][/ROW]
[ROW][C]201[/C][C]77272[/C][C]72160.9144596388[/C][C]5111.08554036122[/C][/ROW]
[ROW][C]202[/C][C]49289[/C][C]42778.6124357301[/C][C]6510.38756426987[/C][/ROW]
[ROW][C]203[/C][C]135131[/C][C]112530.37007813[/C][C]22600.6299218703[/C][/ROW]
[ROW][C]204[/C][C]108446[/C][C]113163.97840237[/C][C]-4717.97840236963[/C][/ROW]
[ROW][C]205[/C][C]89746[/C][C]113295.937546345[/C][C]-23549.9375463454[/C][/ROW]
[ROW][C]206[/C][C]44296[/C][C]48243.5888848629[/C][C]-3947.58888486291[/C][/ROW]
[ROW][C]207[/C][C]77648[/C][C]73959.9595555878[/C][C]3688.04044441223[/C][/ROW]
[ROW][C]208[/C][C]181528[/C][C]148824.327053529[/C][C]32703.6729464706[/C][/ROW]
[ROW][C]209[/C][C]134019[/C][C]111347.686415048[/C][C]22671.313584952[/C][/ROW]
[ROW][C]210[/C][C]124064[/C][C]127665.131894394[/C][C]-3601.13189439415[/C][/ROW]
[ROW][C]211[/C][C]92630[/C][C]93297.5353371916[/C][C]-667.535337191645[/C][/ROW]
[ROW][C]212[/C][C]121848[/C][C]90898.8616598336[/C][C]30949.1383401664[/C][/ROW]
[ROW][C]213[/C][C]52915[/C][C]52462.0420874815[/C][C]452.957912518491[/C][/ROW]
[ROW][C]214[/C][C]81872[/C][C]84597.6981209015[/C][C]-2725.69812090146[/C][/ROW]
[ROW][C]215[/C][C]58981[/C][C]75228.1892570224[/C][C]-16247.1892570224[/C][/ROW]
[ROW][C]216[/C][C]53515[/C][C]68108.6814396305[/C][C]-14593.6814396305[/C][/ROW]
[ROW][C]217[/C][C]60812[/C][C]90723.1198545551[/C][C]-29911.1198545551[/C][/ROW]
[ROW][C]218[/C][C]56375[/C][C]63783.4927772445[/C][C]-7408.49277724451[/C][/ROW]
[ROW][C]219[/C][C]65490[/C][C]71793.8982641111[/C][C]-6303.89826411108[/C][/ROW]
[ROW][C]220[/C][C]80949[/C][C]66351.6598622197[/C][C]14597.3401377803[/C][/ROW]
[ROW][C]221[/C][C]76302[/C][C]93142.2141601066[/C][C]-16840.2141601066[/C][/ROW]
[ROW][C]222[/C][C]104011[/C][C]148241.572955207[/C][C]-44230.5729552074[/C][/ROW]
[ROW][C]223[/C][C]98104[/C][C]138908.239146876[/C][C]-40804.2391468757[/C][/ROW]
[ROW][C]224[/C][C]67989[/C][C]72127.7712674511[/C][C]-4138.77126745105[/C][/ROW]
[ROW][C]225[/C][C]30989[/C][C]29884.0748503635[/C][C]1104.9251496365[/C][/ROW]
[ROW][C]226[/C][C]135458[/C][C]133263.618275391[/C][C]2194.38172460868[/C][/ROW]
[ROW][C]227[/C][C]73504[/C][C]61425.2915822326[/C][C]12078.7084177674[/C][/ROW]
[ROW][C]228[/C][C]63123[/C][C]79911.51807337[/C][C]-16788.51807337[/C][/ROW]
[ROW][C]229[/C][C]61254[/C][C]67342.0817416591[/C][C]-6088.08174165907[/C][/ROW]
[ROW][C]230[/C][C]74914[/C][C]97581.5221513152[/C][C]-22667.5221513152[/C][/ROW]
[ROW][C]231[/C][C]31774[/C][C]42406.9674832663[/C][C]-10632.9674832663[/C][/ROW]
[ROW][C]232[/C][C]81437[/C][C]86917.2152460776[/C][C]-5480.21524607759[/C][/ROW]
[ROW][C]233[/C][C]87186[/C][C]134049.34020532[/C][C]-46863.3402053203[/C][/ROW]
[ROW][C]234[/C][C]50090[/C][C]56289.5117143774[/C][C]-6199.51171437739[/C][/ROW]
[ROW][C]235[/C][C]65745[/C][C]79666.8720924883[/C][C]-13921.8720924883[/C][/ROW]
[ROW][C]236[/C][C]56653[/C][C]55620.1149616463[/C][C]1032.88503835371[/C][/ROW]
[ROW][C]237[/C][C]158399[/C][C]109108.383966496[/C][C]49290.6160335038[/C][/ROW]
[ROW][C]238[/C][C]46455[/C][C]58751.2593342178[/C][C]-12296.2593342178[/C][/ROW]
[ROW][C]239[/C][C]73624[/C][C]85415.8553495383[/C][C]-11791.8553495383[/C][/ROW]
[ROW][C]240[/C][C]38395[/C][C]51014.5219823273[/C][C]-12619.5219823273[/C][/ROW]
[ROW][C]241[/C][C]91899[/C][C]86636.9942624417[/C][C]5262.00573755828[/C][/ROW]
[ROW][C]242[/C][C]139526[/C][C]135699.709887662[/C][C]3826.29011233806[/C][/ROW]
[ROW][C]243[/C][C]52164[/C][C]59257.5521979979[/C][C]-7093.5521979979[/C][/ROW]
[ROW][C]244[/C][C]51567[/C][C]53267.1161339934[/C][C]-1700.11613399341[/C][/ROW]
[ROW][C]245[/C][C]70551[/C][C]77550.6020290661[/C][C]-6999.6020290661[/C][/ROW]
[ROW][C]246[/C][C]84856[/C][C]94131.6832232431[/C][C]-9275.68322324306[/C][/ROW]
[ROW][C]247[/C][C]102538[/C][C]118843.873971304[/C][C]-16305.8739713037[/C][/ROW]
[ROW][C]248[/C][C]86678[/C][C]79279.1080638602[/C][C]7398.89193613982[/C][/ROW]
[ROW][C]249[/C][C]85709[/C][C]73499.6514925916[/C][C]12209.3485074084[/C][/ROW]
[ROW][C]250[/C][C]34662[/C][C]43748.2925737262[/C][C]-9086.29257372616[/C][/ROW]
[ROW][C]251[/C][C]150580[/C][C]146646.761034811[/C][C]3933.23896518901[/C][/ROW]
[ROW][C]252[/C][C]99611[/C][C]97128.7838221364[/C][C]2482.21617786363[/C][/ROW]
[ROW][C]253[/C][C]19349[/C][C]13357.6880728752[/C][C]5991.3119271248[/C][/ROW]
[ROW][C]254[/C][C]99373[/C][C]94366.4499952314[/C][C]5006.55000476859[/C][/ROW]
[ROW][C]255[/C][C]86230[/C][C]101295.76845893[/C][C]-15065.7684589304[/C][/ROW]
[ROW][C]256[/C][C]30837[/C][C]26011.0262598362[/C][C]4825.97374016379[/C][/ROW]
[ROW][C]257[/C][C]31706[/C][C]39611.3366006378[/C][C]-7905.33660063777[/C][/ROW]
[ROW][C]258[/C][C]89806[/C][C]69483.3114182993[/C][C]20322.6885817007[/C][/ROW]
[ROW][C]259[/C][C]62088[/C][C]51494.6045563498[/C][C]10593.3954436502[/C][/ROW]
[ROW][C]260[/C][C]40151[/C][C]38723.6359844691[/C][C]1427.36401553094[/C][/ROW]
[ROW][C]261[/C][C]27634[/C][C]35643.1190903982[/C][C]-8009.11909039823[/C][/ROW]
[ROW][C]262[/C][C]76990[/C][C]75889.0560664966[/C][C]1100.94393350339[/C][/ROW]
[ROW][C]263[/C][C]37460[/C][C]22573.1862665096[/C][C]14886.8137334904[/C][/ROW]
[ROW][C]264[/C][C]54157[/C][C]53074.510750714[/C][C]1082.489249286[/C][/ROW]
[ROW][C]265[/C][C]49862[/C][C]55725.8753243736[/C][C]-5863.87532437363[/C][/ROW]
[ROW][C]266[/C][C]84337[/C][C]80858.1321007595[/C][C]3478.86789924052[/C][/ROW]
[ROW][C]267[/C][C]64175[/C][C]77291.5314334182[/C][C]-13116.5314334182[/C][/ROW]
[ROW][C]268[/C][C]59382[/C][C]58377.4514970372[/C][C]1004.54850296279[/C][/ROW]
[ROW][C]269[/C][C]119308[/C][C]85801.4848968261[/C][C]33506.5151031739[/C][/ROW]
[ROW][C]270[/C][C]76702[/C][C]83720.7513288405[/C][C]-7018.75132884053[/C][/ROW]
[ROW][C]271[/C][C]103425[/C][C]104270.596578231[/C][C]-845.596578231344[/C][/ROW]
[ROW][C]272[/C][C]70344[/C][C]67609.7486404928[/C][C]2734.25135950724[/C][/ROW]
[ROW][C]273[/C][C]43410[/C][C]37017.4915350754[/C][C]6392.50846492462[/C][/ROW]
[ROW][C]274[/C][C]104838[/C][C]99763.5403758473[/C][C]5074.45962415266[/C][/ROW]
[ROW][C]275[/C][C]62215[/C][C]52483.7847958651[/C][C]9731.21520413487[/C][/ROW]
[ROW][C]276[/C][C]69304[/C][C]69837.9911069025[/C][C]-533.991106902461[/C][/ROW]
[ROW][C]277[/C][C]53117[/C][C]33398.3024539273[/C][C]19718.6975460727[/C][/ROW]
[ROW][C]278[/C][C]19764[/C][C]15370.7739691515[/C][C]4393.22603084851[/C][/ROW]
[ROW][C]279[/C][C]86680[/C][C]94380.4393791133[/C][C]-7700.4393791133[/C][/ROW]
[ROW][C]280[/C][C]84105[/C][C]71507.0232858989[/C][C]12597.9767141011[/C][/ROW]
[ROW][C]281[/C][C]77945[/C][C]75288.0243539105[/C][C]2656.97564608954[/C][/ROW]
[ROW][C]282[/C][C]89113[/C][C]58326.3977897806[/C][C]30786.6022102194[/C][/ROW]
[ROW][C]283[/C][C]91005[/C][C]79763.3855628823[/C][C]11241.6144371177[/C][/ROW]
[ROW][C]284[/C][C]40248[/C][C]28701.9985787794[/C][C]11546.0014212206[/C][/ROW]
[ROW][C]285[/C][C]64187[/C][C]58792.1029511563[/C][C]5394.89704884375[/C][/ROW]
[ROW][C]286[/C][C]50857[/C][C]45251.0568862341[/C][C]5605.94311376595[/C][/ROW]
[ROW][C]287[/C][C]56613[/C][C]48483.0665289766[/C][C]8129.93347102344[/C][/ROW]
[ROW][C]288[/C][C]62792[/C][C]66885.5600646797[/C][C]-4093.56006467968[/C][/ROW]
[ROW][C]289[/C][C]72535[/C][C]82142.9509087187[/C][C]-9607.9509087187[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=191164&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=191164&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 Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	210907	189832.27350726	21074.7264927399
2	120982	141501.783062223	-20519.7830622232
3	176508	168637.941139624	7870.05886037602
4	179321	220328.023305593	-41007.0233055934
5	123185	111674.566240181	11510.4337598191
6	52746	66931.5363787526	-14185.5363787526
7	385534	371230.972026735	14303.0279732647
8	33170	27420.3932241672	5749.60677583283
9	101645	81714.295443153	19930.704556847
10	149061	166945.44715555	-17884.4471555495
11	165446	147635.869085014	17810.1309149861
12	237213	240165.13157163	-2952.13157162963
13	173326	167598.614930824	5727.38506917588
14	133131	136647.215484987	-3516.21548498702
15	258873	218410.330926207	40462.6690737927
16	180083	172898.156403941	7184.8435960589
17	324799	368368.802020331	-43569.8020203314
18	230964	206527.620182864	24436.3798171359
19	236785	229092.447796109	7692.55220389149
20	135473	133469.343623704	2003.6563762962
21	202925	196509.854868954	6415.14513104625
22	215147	199293.907914967	15853.0920850329
23	344297	257018.040023132	87278.9599768676
24	153935	146289.77590777	7645.2240922296
25	132943	154887.956667932	-21944.9566679317
26	174724	226365.549554785	-51641.5495547851
27	174415	212180.03823443	-37765.0382344301
28	225548	255430.449083089	-29882.4490830889
29	223632	206157.027282525	17474.9727174752
30	124817	128837.259058382	-4020.25905838241
31	221698	267840.398952304	-46142.3989523038
32	210767	218921.993801587	-8154.99380158656
33	170266	175550.086988119	-5284.08698811852
34	260561	255190.899841444	5370.10015855552
35	84853	85388.9156252232	-535.91562522319
36	294424	291148.019864268	3275.98013573245
37	101011	96000.2684176394	5010.73158236056
38	215641	207853.659250497	7787.34074950272
39	325107	288364.927589582	36742.0724104185
40	7176	6583.78593319639	592.214066803613
41	167542	157398.080842558	10143.9191574419
42	106408	83548.3438856408	22859.6561143592
43	96560	108327.458109482	-11767.4581094818
44	265769	269769.114688636	-4000.1146886358
45	269651	279623.745511277	-9972.74551127696
46	149112	150054.504692811	-942.504692810707
47	175824	189045.562470828	-13221.5624708282
48	152871	169810.789125928	-16939.7891259285
49	111665	101436.846224498	10228.1537755024
50	116408	169183.293332158	-52775.2933321575
51	362301	322206.45609078	40094.5439092204
52	78800	103670.764635863	-24870.7646358629
53	183167	187629.647031037	-4462.64703103728
54	277965	322468.805059133	-44503.8050591329
55	150629	188639.919256093	-38010.9192560927
56	168809	191712.909472264	-22903.9094722637
57	24188	38212.0453806306	-14024.0453806306
58	329267	296292.905378795	32974.0946212054
59	65029	65670.7335983901	-641.733598390092
60	101097	110957.030803782	-9860.03080378165
61	218946	209859.172132797	9086.82786720346
62	244052	241006.697411149	3045.30258885086
63	341570	337210.328860103	4359.67113989687
64	103597	99597.5705220028	3999.42947799719
65	233328	265839.766429624	-32511.7664296243
66	256462	271113.021082367	-14651.0210823667
67	206161	157930.185032586	48230.8149674143
68	311473	323072.601831231	-11599.6018312309
69	235800	263722.543254482	-27922.5432544822
70	177939	204727.281877977	-26788.281877977
71	207176	194843.70150444	12332.29849556
72	196553	181457.851151687	15095.1488483128
73	174184	165328.268555469	8855.73144453144
74	143246	148056.071693338	-4810.07169333764
75	187559	220464.586826021	-32905.5868260206
76	187681	181072.230233468	6608.76976653221
77	119016	134402.286810797	-15386.2868107965
78	182192	194145.622665524	-11953.6226655243
79	73566	88788.0815412735	-15222.0815412735
80	194979	191963.54609595	3015.45390405032
81	167488	156754.388462515	10733.6115374852
82	143756	153698.200608815	-9942.20060881486
83	275541	204968.565799032	70572.4342009682
84	243199	226903.874496661	16295.1255033388
85	182999	183945.58346429	-946.583464290071
86	135649	141057.988963114	-5408.98896311413
87	152299	150308.833532284	1990.16646771581
88	120221	132916.787429097	-12695.7874290974
89	346485	271272.153147978	75212.8468520218
90	145790	164950.728882137	-19160.728882137
91	193339	156125.757295086	37213.2427049139
92	80953	99968.8179789344	-19015.8179789344
93	122774	136303.064777935	-13529.0647779345
94	130585	111675.030701976	18909.9692980237
95	112611	103041.45770338	9569.54229661983
96	286468	277302.573941471	9165.42605852947
97	241066	223727.822427679	17338.1775723208
98	148446	200463.666186244	-52017.6661862437
99	204713	186736.206738236	17976.793261764
100	182079	175236.759547709	6842.2404522905
101	140344	143208.692541536	-2864.69254153569
102	220516	216256.192350499	4259.8076495007
103	243060	210433.535722261	32626.4642777387
104	162765	150317.232821327	12447.7671786733
105	182613	176472.199278294	6140.800721706
106	232138	234967.917065516	-2829.9170655165
107	265318	295994.854552669	-30676.854552669
108	85574	86621.7381717911	-1047.73817179111
109	310839	300911.718576021	9927.28142397862
110	225060	200337.747623107	24722.2523768927
111	232317	249011.35109983	-16694.35109983
112	144966	152496.8967057	-7530.89670569967
113	43287	52941.4248560254	-9654.42485602538
114	155754	151718.317746306	4035.68225369357
115	164709	179370.891094752	-14661.8910947518
116	201940	211551.556760118	-9611.55676011824
117	235454	229828.036438621	5625.9635613795
118	220801	185931.844357742	34869.1556422576
119	99466	161420.04444496	-61954.0444449599
120	92661	101402.194674261	-8741.19467426087
121	133328	132340.735519449	987.26448055132
122	61361	89404.5818848671	-28043.5818848671
123	125930	154873.31006947	-28943.3100694699
124	100750	139098.963484371	-38348.9634843706
125	224549	199822.191703638	24726.8082963618
126	82316	73369.6791142246	8946.32088577543
127	102010	95401.6674761951	6608.33252380488
128	101523	100248.199960662	1274.80003933751
129	243511	196398.247307137	47112.7526928628
130	22938	19995.8566651045	2942.14333489553
131	41566	41105.6858117659	460.314188234068
132	152474	165933.428147922	-13459.4281479224
133	61857	47428.9727523584	14428.0272476416
134	99923	137286.258199196	-37363.2581991964
135	132487	137352.157165068	-4865.15716506773
136	317394	323766.614828986	-6372.61482898559
137	21054	21149.259762857	-95.2597628569918
138	209641	197373.565185724	12267.4348142761
139	22648	33877.7846302176	-11229.7846302176
140	31414	34432.1099201922	-3018.10992019223
141	46698	64709.022254342	-18011.022254342
142	131698	143007.119220747	-11309.1192207469
143	91735	76642.5362802294	15092.4637197706
144	244749	278102.2368392	-33353.2368392
145	184510	153736.188539044	30773.811460956
146	79863	87271.1329463148	-7408.13294631476
147	128423	102693.870658165	25729.1293418353
148	97839	112789.369836052	-14950.369836052
149	38214	52334.0385886833	-14120.0385886833
150	151101	146212.571737975	4888.42826202505
151	272458	248518.075741129	23939.924258871
152	172494	177999.888110442	-5505.88811044209
153	108043	114151.886456527	-6108.88645652745
154	328107	330168.464176226	-2061.46417622639
155	250579	281819.42271817	-31240.4227181696
156	351067	333667.724254701	17399.2757452991
157	158015	155445.800232659	2569.19976734121
158	98866	86679.531502614	12186.468497386
159	85439	110135.366805853	-24696.3668058533
160	229242	218836.32251813	10405.6774818698
161	351619	352575.959962256	-956.959962255972
162	84207	73320.860260735	10886.139739265
163	120445	122075.750984274	-1630.75098427391
164	324598	303226.171651512	21371.8283484879
165	131069	144806.947854177	-13737.9478541773
166	204271	188957.845891451	15313.1541085485
167	165543	178335.74063664	-12792.7406366404
168	141722	116854.760670549	24867.2393294512
169	116048	113858.618467606	2189.38153239372
170	250047	176740.369038243	73306.6309617567
171	299775	290689.10428302	9085.89571698029
172	195838	185117.248949069	10720.7510509308
173	173260	127770.70505127	45489.2949487298
174	254488	223715.211693644	30772.7883063556
175	104389	142554.235657493	-38165.2356574926
176	136084	138733.908523797	-2649.90852379718
177	199476	224433.271424032	-24957.2714240321
178	92499	79645.6015482786	12853.3984517214
179	224330	223187.322257703	1142.67774229733
180	135781	108379.341494807	27401.6585051927
181	74408	85545.751020155	-11137.751020155
182	81240	103633.189886815	-22393.1898868154
183	14688	11422.0088997685	3265.99110023149
184	181633	168619.95587551	13013.0441244897
185	271856	271486.57965265	369.420347349526
186	7199	7587.4711436271	-388.471143627101
187	46660	49896.4410015173	-3236.44100151729
188	17547	9065.28650489949	8481.71349510051
189	133368	138360.985709645	-4992.98570964449
190	95227	63806.1220181448	31420.8779818552
191	152601	106665.009550923	45935.9904490766
192	98146	96453.1499857767	1692.85001422329
193	79619	89455.546388809	-9836.54638880903
194	59194	73680.9772560942	-14486.9772560942
195	139942	160648.785985715	-20706.7859857154
196	118612	107585.881460876	11026.118539124
197	72880	87367.2868769645	-14487.2868769645
198	65475	62300.5297458289	3174.47025417107
199	99643	121927.743060681	-22284.7430606806
200	71965	69175.9677649635	2789.03223503654
201	77272	72160.9144596388	5111.08554036122
202	49289	42778.6124357301	6510.38756426987
203	135131	112530.37007813	22600.6299218703
204	108446	113163.97840237	-4717.97840236963
205	89746	113295.937546345	-23549.9375463454
206	44296	48243.5888848629	-3947.58888486291
207	77648	73959.9595555878	3688.04044441223
208	181528	148824.327053529	32703.6729464706
209	134019	111347.686415048	22671.313584952
210	124064	127665.131894394	-3601.13189439415
211	92630	93297.5353371916	-667.535337191645
212	121848	90898.8616598336	30949.1383401664
213	52915	52462.0420874815	452.957912518491
214	81872	84597.6981209015	-2725.69812090146
215	58981	75228.1892570224	-16247.1892570224
216	53515	68108.6814396305	-14593.6814396305
217	60812	90723.1198545551	-29911.1198545551
218	56375	63783.4927772445	-7408.49277724451
219	65490	71793.8982641111	-6303.89826411108
220	80949	66351.6598622197	14597.3401377803
221	76302	93142.2141601066	-16840.2141601066
222	104011	148241.572955207	-44230.5729552074
223	98104	138908.239146876	-40804.2391468757
224	67989	72127.7712674511	-4138.77126745105
225	30989	29884.0748503635	1104.9251496365
226	135458	133263.618275391	2194.38172460868
227	73504	61425.2915822326	12078.7084177674
228	63123	79911.51807337	-16788.51807337
229	61254	67342.0817416591	-6088.08174165907
230	74914	97581.5221513152	-22667.5221513152
231	31774	42406.9674832663	-10632.9674832663
232	81437	86917.2152460776	-5480.21524607759
233	87186	134049.34020532	-46863.3402053203
234	50090	56289.5117143774	-6199.51171437739
235	65745	79666.8720924883	-13921.8720924883
236	56653	55620.1149616463	1032.88503835371
237	158399	109108.383966496	49290.6160335038
238	46455	58751.2593342178	-12296.2593342178
239	73624	85415.8553495383	-11791.8553495383
240	38395	51014.5219823273	-12619.5219823273
241	91899	86636.9942624417	5262.00573755828
242	139526	135699.709887662	3826.29011233806
243	52164	59257.5521979979	-7093.5521979979
244	51567	53267.1161339934	-1700.11613399341
245	70551	77550.6020290661	-6999.6020290661
246	84856	94131.6832232431	-9275.68322324306
247	102538	118843.873971304	-16305.8739713037
248	86678	79279.1080638602	7398.89193613982
249	85709	73499.6514925916	12209.3485074084
250	34662	43748.2925737262	-9086.29257372616
251	150580	146646.761034811	3933.23896518901
252	99611	97128.7838221364	2482.21617786363
253	19349	13357.6880728752	5991.3119271248
254	99373	94366.4499952314	5006.55000476859
255	86230	101295.76845893	-15065.7684589304
256	30837	26011.0262598362	4825.97374016379
257	31706	39611.3366006378	-7905.33660063777
258	89806	69483.3114182993	20322.6885817007
259	62088	51494.6045563498	10593.3954436502
260	40151	38723.6359844691	1427.36401553094
261	27634	35643.1190903982	-8009.11909039823
262	76990	75889.0560664966	1100.94393350339
263	37460	22573.1862665096	14886.8137334904
264	54157	53074.510750714	1082.489249286
265	49862	55725.8753243736	-5863.87532437363
266	84337	80858.1321007595	3478.86789924052
267	64175	77291.5314334182	-13116.5314334182
268	59382	58377.4514970372	1004.54850296279
269	119308	85801.4848968261	33506.5151031739
270	76702	83720.7513288405	-7018.75132884053
271	103425	104270.596578231	-845.596578231344
272	70344	67609.7486404928	2734.25135950724
273	43410	37017.4915350754	6392.50846492462
274	104838	99763.5403758473	5074.45962415266
275	62215	52483.7847958651	9731.21520413487
276	69304	69837.9911069025	-533.991106902461
277	53117	33398.3024539273	19718.6975460727
278	19764	15370.7739691515	4393.22603084851
279	86680	94380.4393791133	-7700.4393791133
280	84105	71507.0232858989	12597.9767141011
281	77945	75288.0243539105	2656.97564608954
282	89113	58326.3977897806	30786.6022102194
283	91005	79763.3855628823	11241.6144371177
284	40248	28701.9985787794	11546.0014212206
285	64187	58792.1029511563	5394.89704884375
286	50857	45251.0568862341	5605.94311376595
287	56613	48483.0665289766	8129.93347102344
288	62792	66885.5600646797	-4093.56006467968
289	72535	82142.9509087187	-9607.9509087187

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
19	0.75895823478431	0.48208353043138	0.24104176521569
20	0.728502334729193	0.542995330541614	0.271497665270807
21	0.697536341167865	0.604927317664269	0.302463658832135
22	0.763075487457523	0.473849025084955	0.236924512542477
23	0.956284955995011	0.0874300880099786	0.0437150440049893
24	0.930017099574471	0.139965800851059	0.0699829004255293
25	0.96133076068798	0.0773384786240392	0.0386692393120196
26	0.972006342388949	0.0559873152221014	0.0279936576110507
27	0.973543273034047	0.052913453931906	0.026456726965953
28	0.973914889389513	0.0521702212209747	0.0260851106104874
29	0.969497083764572	0.0610058324708569	0.0305029162354284
30	0.958936780217007	0.0821264395659856	0.0410632197829928
31	0.984574235972535	0.0308515280549302	0.0154257640274651
32	0.977594740296918	0.0448105194061648	0.0224052597030824
33	0.968287236661102	0.0634255266777954	0.0317127633388977
34	0.955734267886936	0.0885314642261284	0.0442657321130642
35	0.938596826175619	0.122806347648763	0.0614031738243814
36	0.921933627406111	0.156132745187779	0.0780663725938893
37	0.896718412168907	0.206563175662186	0.103281587831093
38	0.867109161445975	0.26578167710805	0.132890838554025
39	0.911340471007573	0.177319057984854	0.088659528992427
40	0.928457050497921	0.143085899004157	0.0715429495020786
41	0.908914347523741	0.182171304952517	0.0910856524762586
42	0.888931949798189	0.222136100403623	0.111068050201811
43	0.862120565110428	0.275758869779143	0.137879434889572
44	0.832876565749404	0.334246868501191	0.167123434250596
45	0.860683663497014	0.278632673005972	0.139316336502986
46	0.831439797663187	0.337120404673626	0.168560202336813
47	0.799703426791655	0.400593146416691	0.200296573208345
48	0.763779878307009	0.472440243385983	0.236220121692991
49	0.728352416133322	0.543295167733356	0.271647583866678
50	0.891767692556731	0.216464614886538	0.108232307443269
51	0.988220830771935	0.0235583384561302	0.0117791692280651
52	0.988033502310542	0.0239329953789162	0.0119664976894581
53	0.98575989206573	0.0284802158685404	0.0142401079342702
54	0.996038716242996	0.00792256751400816	0.00396128375700408
55	0.998111315654192	0.00377736869161527	0.00188868434580763
56	0.998295404380821	0.00340919123835741	0.0017045956191787
57	0.998078932355541	0.00384213528891701	0.0019210676444585
58	0.998346004754102	0.00330799049179633	0.00165399524589817
59	0.9976585355126	0.0046829289747993	0.00234146448739965
60	0.99713844943735	0.00572310112530075	0.00286155056265037
61	0.996300645960015	0.0073987080799699	0.00369935403998495
62	0.995191618048791	0.0096167639024179	0.00480838195120895
63	0.99347355331927	0.0130528933614601	0.00652644668073004
64	0.991217361965121	0.0175652760697582	0.0087826380348791
65	0.996624874382589	0.00675025123482239	0.0033751256174112
66	0.995890962497616	0.00821807500476703	0.00410903750238351
67	0.998880477414849	0.00223904517030107	0.00111952258515054
68	0.998584861915019	0.00283027616996213	0.00141513808498106
69	0.998533860655616	0.00293227868876878	0.00146613934438439
70	0.998604222498949	0.00279155500210234	0.00139577750105117
71	0.998229396151814	0.00354120769637124	0.00177060384818562
72	0.997789600692902	0.00442079861419618	0.00221039930709809
73	0.997150928580769	0.00569814283846135	0.00284907141923067
74	0.99615117976677	0.00769764046645951	0.00384882023322976
75	0.997390499056003	0.00521900188799341	0.0026095009439967
76	0.996722905997995	0.00655418800401073	0.00327709400200536
77	0.995980145351275	0.00803970929745097	0.00401985464872548
78	0.995237266121593	0.00952546775681358	0.00476273387840679
79	0.994864331529247	0.0102713369415058	0.00513566847075292
80	0.993250730823358	0.0134985383532843	0.00674926917664217
81	0.992048024936487	0.0159039501270255	0.00795197506351273
82	0.989990098241422	0.0200198035171567	0.0100099017585784
83	0.999383426150021	0.00123314769995755	0.000616573849978775
84	0.999229751648673	0.00154049670265304	0.000770248351326519
85	0.998940734290032	0.00211853141993659	0.00105926570996829
86	0.998574193668978	0.00285161266204467	0.00142580633102234
87	0.998091483275859	0.00381703344828277	0.00190851672414138
88	0.997786545838012	0.00442690832397631	0.00221345416198815
89	0.999946607265653	0.000106785468693082	5.3392734346541e-05
90	0.999938915181234	0.000122169637532571	6.10848187662855e-05
91	0.999968517270204	6.29654595928463e-05	3.14827297964232e-05
92	0.999971878559849	5.62428803012245e-05	2.81214401506123e-05
93	0.999961825251154	7.63494976912757e-05	3.81747488456378e-05
94	0.999957119855282	8.5760289435099e-05	4.28801447175495e-05
95	0.999939564870261	0.000120870259477019	6.04351297385094e-05
96	0.999928114791684	0.00014377041663279	7.1885208316395e-05
97	0.999903751738061	0.000192496523878613	9.62482619393064e-05
98	0.999985217041762	2.95659164754951e-05	1.47829582377476e-05
99	0.999981016610445	3.79667791106183e-05	1.89833895553091e-05
100	0.999973502929876	5.29941402479487e-05	2.64970701239743e-05
101	0.999961865941805	7.62681163898243e-05	3.81340581949122e-05
102	0.999944500487265	0.000110999025470094	5.54995127350472e-05
103	0.999968324768449	6.33504631018179e-05	3.1675231550909e-05
104	0.999958187279828	8.36254403449192e-05	4.18127201724596e-05
105	0.999939870785764	0.000120258428472568	6.01292142362839e-05
106	0.999923609212731	0.000152781574538382	7.6390787269191e-05
107	0.999964302660696	7.13946786070974e-05	3.56973393035487e-05
108	0.99994834048758	0.000103319024840405	5.16595124202025e-05
109	0.999930783273361	0.000138433453277692	6.92167266388459e-05
110	0.999926208879413	0.00014758224117419	7.37911205870951e-05
111	0.99992518682298	0.000149626354040166	7.48131770200829e-05
112	0.999899959324254	0.000200081351491836	0.000100040675745918
113	0.999869238738077	0.000261522523845704	0.000130761261922852
114	0.999816441082785	0.000367117834429228	0.000183558917214614
115	0.999785190500153	0.000429618999693245	0.000214809499846622
116	0.999718981919678	0.000562036160643624	0.000281018080321812
117	0.999611102981145	0.000777794037710222	0.000388897018855111
118	0.999774127946668	0.000451744106663325	0.000225872053331662
119	0.999974863431319	5.02731373618731e-05	2.51365686809365e-05
120	0.999968449136864	6.31017262713647e-05	3.15508631356824e-05
121	0.999954245068207	9.15098635861638e-05	4.57549317930819e-05
122	0.999973418825042	5.31623499159207e-05	2.65811749579604e-05
123	0.999975990828705	4.801834259037e-05	2.4009171295185e-05
124	0.999986964143377	2.60717132464074e-05	1.30358566232037e-05
125	0.999987155287779	2.56894244420237e-05	1.28447122210118e-05
126	0.999982037559586	3.59248808271554e-05	1.79624404135777e-05
127	0.999974652985495	5.06940290099898e-05	2.53470145049949e-05
128	0.999963454885072	7.30902298566478e-05	3.65451149283239e-05
129	0.999989978206406	2.00435871877141e-05	1.00217935938571e-05
130	0.999985291748516	2.94165029682369e-05	1.47082514841185e-05
131	0.999978481789135	4.3036421730522e-05	2.1518210865261e-05
132	0.999974066708372	5.18665832561475e-05	2.59332916280738e-05
133	0.999965625823474	6.87483530515278e-05	3.43741765257639e-05
134	0.999983564259086	3.28714818278857e-05	1.64357409139429e-05
135	0.999979078669312	4.1842661376136e-05	2.0921330688068e-05
136	0.999972453783085	5.50924338303467e-05	2.75462169151734e-05
137	0.999960559644098	7.88807118045427e-05	3.94403559022713e-05
138	0.999948904357532	0.000102191284935048	5.10956424675238e-05
139	0.99994443187329	0.000111136253419928	5.55681267099641e-05
140	0.999923790675084	0.000152418649832789	7.62093249163944e-05
141	0.999922107634087	0.000155784731825366	7.78923659126832e-05
142	0.999901220246557	0.000197559506886488	9.87797534432438e-05
143	0.999891292467727	0.000217415064545905	0.000108707532272953
144	0.999942056838679	0.00011588632264115	5.7943161320575e-05
145	0.999959469715361	8.10605692772124e-05	4.05302846386062e-05
146	0.999949791361263	0.00010041727747467	5.02086387373351e-05
147	0.999966144410553	6.77111788932115e-05	3.38555894466057e-05
148	0.999963929445576	7.21411088474264e-05	3.60705544237132e-05
149	0.999959416473056	8.11670538875369e-05	4.05835269437685e-05
150	0.999942599820995	0.000114800358009277	5.74001790046385e-05
151	0.999951680029514	9.66399409716794e-05	4.83199704858397e-05
152	0.999936455765884	0.000127088468231457	6.35442341157284e-05
153	0.99992417524356	0.000151649512879873	7.58247564399366e-05
154	0.999891825865954	0.000216348268092024	0.000108174134046012
155	0.999931179696509	0.000137640606982733	6.88203034913665e-05
156	0.999915417212048	0.000169165575904559	8.45827879522794e-05
157	0.999879899364568	0.000240201270864564	0.000120100635432282
158	0.999881011550466	0.000237976899067422	0.000118988449533711
159	0.999918378178315	0.000163243643369894	8.16218216849468e-05
160	0.999893200189314	0.000213599621372195	0.000106799810686097
161	0.999854237647972	0.000291524704055655	0.000145762352027827
162	0.99983050673039	0.00033898653922016	0.00016949326961008
163	0.999833533890527	0.000332932218945754	0.000166466109472877
164	0.999848959788896	0.000302080422208586	0.000151040211104293
165	0.999848334985063	0.000303330029873062	0.000151665014936531
166	0.999842319954775	0.000315360090449618	0.000157680045224809
167	0.99979623227214	0.000407535455719745	0.000203767727859872
168	0.999784516875945	0.000430966248109307	0.000215483124054653
169	0.999736699022397	0.000526601955206368	0.000263300977603184
170	0.999990607373442	1.87852531165642e-05	9.39262655828211e-06
171	0.99998773380459	2.4532390819201e-05	1.22661954096005e-05
172	0.999986157943138	2.76841137233824e-05	1.38420568616912e-05
173	0.999995334773924	9.33045215287832e-06	4.66522607643916e-06
174	0.99999908157328	1.83685343905224e-06	9.18426719526119e-07
175	0.999999286211823	1.42757635492767e-06	7.13788177463833e-07
176	0.999998915442918	2.16911416427443e-06	1.08455708213721e-06
177	0.999998862790993	2.27441801470911e-06	1.13720900735455e-06
178	0.999998528021308	2.94395738368919e-06	1.47197869184459e-06
179	0.999997817177582	4.36564483522829e-06	2.18282241761414e-06
180	0.999998184587994	3.63082401219288e-06	1.81541200609644e-06
181	0.999997446262942	5.1074741157457e-06	2.55373705787285e-06
182	0.999998811180605	2.37763879098943e-06	1.18881939549471e-06
183	0.999998193169943	3.61366011466e-06	1.80683005733e-06
184	0.999997773277135	4.45344573072049e-06	2.22672286536025e-06
185	0.999997037900246	5.92419950776488e-06	2.96209975388244e-06
186	0.999996030264321	7.93947135871257e-06	3.96973567935628e-06
187	0.999995814835098	8.37032980354289e-06	4.18516490177144e-06
188	0.999993929418	1.21411639993455e-05	6.07058199967274e-06
189	0.999990603164219	1.87936715619814e-05	9.39683578099072e-06
190	0.999990511812955	1.89763740905366e-05	9.4881870452683e-06
191	0.999999705571267	5.88857465832931e-07	2.94428732916465e-07
192	0.999999533123136	9.33753728671271e-07	4.66876864335635e-07
193	0.999999283331428	1.43333714498687e-06	7.16668572493435e-07
194	0.999999079023196	1.84195360796566e-06	9.20976803982832e-07
195	0.999998600696473	2.7986070537632e-06	1.3993035268816e-06
196	0.999998644937919	2.71012416124836e-06	1.35506208062418e-06
197	0.999998366040496	3.26791900804888e-06	1.63395950402444e-06
198	0.999997467278823	5.06544235406289e-06	2.53272117703145e-06
199	0.999997646424672	4.70715065519956e-06	2.35357532759978e-06
200	0.999996573188501	6.85362299899044e-06	3.42681149949522e-06
201	0.999995126186288	9.74762742374264e-06	4.87381371187132e-06
202	0.999992281369321	1.54372613584368e-05	7.71863067921839e-06
203	0.999991292991238	1.74140175240813e-05	8.70700876204067e-06
204	0.999986062935595	2.78741288099404e-05	1.39370644049702e-05
205	0.999980571104036	3.88577919278851e-05	1.94288959639426e-05
206	0.999970116402553	5.97671948936446e-05	2.98835974468223e-05
207	0.999953971394035	9.20572119304116e-05	4.60286059652058e-05
208	0.999988261308529	2.34773829418902e-05	1.17386914709451e-05
209	0.999992984993281	1.40300134372853e-05	7.01500671864263e-06
210	0.999988495335201	2.30093295989099e-05	1.15046647994549e-05
211	0.999982855045416	3.42899091680295e-05	1.71449545840147e-05
212	0.999994373530137	1.12529397261179e-05	5.62646986305897e-06
213	0.999990778351898	1.84432962050253e-05	9.22164810251263e-06
214	0.999985224088702	2.95518225961757e-05	1.47759112980878e-05
215	0.999977175584107	4.56488317849798e-05	2.28244158924899e-05
216	0.999967579506559	6.48409868824481e-05	3.2420493441224e-05
217	0.999986600485647	2.67990287062609e-05	1.33995143531304e-05
218	0.999977913804175	4.41723916507775e-05	2.20861958253888e-05
219	0.999965370730436	6.92585391281936e-05	3.46292695640968e-05
220	0.999949501190634	0.000100997618732978	5.04988093664889e-05
221	0.999937074112542	0.000125851774915332	6.29258874576658e-05
222	0.999982263036385	3.54739272292433e-05	1.77369636146217e-05
223	0.999985285009809	2.94299803820428e-05	1.47149901910214e-05
224	0.99997498629526	5.00274094795329e-05	2.50137047397665e-05
225	0.99995749760102	8.50047979589268e-05	4.25023989794634e-05
226	0.999939270632814	0.000121458734371659	6.07293671858297e-05
227	0.999914725868447	0.000170548263105755	8.52741315528777e-05
228	0.999900283812289	0.000199432375422164	9.97161877110818e-05
229	0.999834842712032	0.000330314575935103	0.000165157287967552
230	0.999907289214183	0.000185421571634523	9.27107858172614e-05
231	0.999912743621486	0.000174512757029062	8.72563785145309e-05
232	0.999852537667182	0.000294924665636496	0.000147462332818248
233	0.999999316731638	1.36653672445952e-06	6.8326836222976e-07
234	0.999998695341992	2.60931601661113e-06	1.30465800830556e-06
235	0.999997445053437	5.10989312566101e-06	2.5549465628305e-06
236	0.999995079717623	9.84056475367191e-06	4.92028237683595e-06
237	0.999999976552971	4.68940588506331e-08	2.34470294253165e-08
238	0.999999945337266	1.09325468590772e-07	5.46627342953858e-08
239	0.999999878495962	2.43008075331584e-07	1.21504037665792e-07
240	0.999999771302971	4.57394057266265e-07	2.28697028633133e-07
241	0.99999949894033	1.00211934052914e-06	5.01059670264568e-07
242	0.999999079794894	1.84041021254609e-06	9.20205106273046e-07
243	0.999998224543511	3.55091297834381e-06	1.7754564891719e-06
244	0.999996205113489	7.58977302266659e-06	3.7948865113333e-06
245	0.999994356100735	1.12877985306109e-05	5.64389926530543e-06
246	0.99998929066844	2.14186631198965e-05	1.07093315599482e-05
247	0.999992005245483	1.59895090335893e-05	7.99475451679467e-06
248	0.999984828485127	3.03430297449757e-05	1.51715148724878e-05
249	0.99997362511078	5.27497784403981e-05	2.63748892201991e-05
250	0.999964380572225	7.12388555508201e-05	3.561942777541e-05
251	0.999943068867137	0.000113862265725264	5.69311328626322e-05
252	0.999903651094946	0.000192697810107539	9.63489050537697e-05
253	0.999792328751655	0.000415342496689943	0.000207671248344972
254	0.999574135173808	0.000851729652383487	0.000425864826191743
255	0.99960173808828	0.000796523823439465	0.000398261911719732
256	0.999159650148154	0.001680699703692	0.000840349851845998
257	0.998848573925589	0.00230285214882139	0.0011514260744107
258	0.99920401940843	0.00159196118313939	0.000795980591569695
259	0.998339120633191	0.00332175873361843	0.00166087936680921
260	0.997098289612785	0.00580342077442981	0.0029017103872149
261	0.994853409370744	0.0102931812585116	0.00514659062925578
262	0.989557868903066	0.0208842621938683	0.0104421310969341
263	0.985541067689334	0.0289178646213321	0.014458932310666
264	0.986050910303928	0.0278981793921431	0.0139490896960715
265	0.97862338690823	0.0427532261835397	0.0213766130917699
266	0.958666493083584	0.0826670138328316	0.0413335069164158
267	0.925142781021516	0.149714437956967	0.0748572189784837
268	0.881559058717994	0.236881882564012	0.118440941282006
269	0.998299845257793	0.0034003094844145	0.00170015474220725
270	0.997391525635932	0.00521694872813512	0.00260847436406756

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
19 & 0.75895823478431 & 0.48208353043138 & 0.24104176521569 \tabularnewline
20 & 0.728502334729193 & 0.542995330541614 & 0.271497665270807 \tabularnewline
21 & 0.697536341167865 & 0.604927317664269 & 0.302463658832135 \tabularnewline
22 & 0.763075487457523 & 0.473849025084955 & 0.236924512542477 \tabularnewline
23 & 0.956284955995011 & 0.0874300880099786 & 0.0437150440049893 \tabularnewline
24 & 0.930017099574471 & 0.139965800851059 & 0.0699829004255293 \tabularnewline
25 & 0.96133076068798 & 0.0773384786240392 & 0.0386692393120196 \tabularnewline
26 & 0.972006342388949 & 0.0559873152221014 & 0.0279936576110507 \tabularnewline
27 & 0.973543273034047 & 0.052913453931906 & 0.026456726965953 \tabularnewline
28 & 0.973914889389513 & 0.0521702212209747 & 0.0260851106104874 \tabularnewline
29 & 0.969497083764572 & 0.0610058324708569 & 0.0305029162354284 \tabularnewline
30 & 0.958936780217007 & 0.0821264395659856 & 0.0410632197829928 \tabularnewline
31 & 0.984574235972535 & 0.0308515280549302 & 0.0154257640274651 \tabularnewline
32 & 0.977594740296918 & 0.0448105194061648 & 0.0224052597030824 \tabularnewline
33 & 0.968287236661102 & 0.0634255266777954 & 0.0317127633388977 \tabularnewline
34 & 0.955734267886936 & 0.0885314642261284 & 0.0442657321130642 \tabularnewline
35 & 0.938596826175619 & 0.122806347648763 & 0.0614031738243814 \tabularnewline
36 & 0.921933627406111 & 0.156132745187779 & 0.0780663725938893 \tabularnewline
37 & 0.896718412168907 & 0.206563175662186 & 0.103281587831093 \tabularnewline
38 & 0.867109161445975 & 0.26578167710805 & 0.132890838554025 \tabularnewline
39 & 0.911340471007573 & 0.177319057984854 & 0.088659528992427 \tabularnewline
40 & 0.928457050497921 & 0.143085899004157 & 0.0715429495020786 \tabularnewline
41 & 0.908914347523741 & 0.182171304952517 & 0.0910856524762586 \tabularnewline
42 & 0.888931949798189 & 0.222136100403623 & 0.111068050201811 \tabularnewline
43 & 0.862120565110428 & 0.275758869779143 & 0.137879434889572 \tabularnewline
44 & 0.832876565749404 & 0.334246868501191 & 0.167123434250596 \tabularnewline
45 & 0.860683663497014 & 0.278632673005972 & 0.139316336502986 \tabularnewline
46 & 0.831439797663187 & 0.337120404673626 & 0.168560202336813 \tabularnewline
47 & 0.799703426791655 & 0.400593146416691 & 0.200296573208345 \tabularnewline
48 & 0.763779878307009 & 0.472440243385983 & 0.236220121692991 \tabularnewline
49 & 0.728352416133322 & 0.543295167733356 & 0.271647583866678 \tabularnewline
50 & 0.891767692556731 & 0.216464614886538 & 0.108232307443269 \tabularnewline
51 & 0.988220830771935 & 0.0235583384561302 & 0.0117791692280651 \tabularnewline
52 & 0.988033502310542 & 0.0239329953789162 & 0.0119664976894581 \tabularnewline
53 & 0.98575989206573 & 0.0284802158685404 & 0.0142401079342702 \tabularnewline
54 & 0.996038716242996 & 0.00792256751400816 & 0.00396128375700408 \tabularnewline
55 & 0.998111315654192 & 0.00377736869161527 & 0.00188868434580763 \tabularnewline
56 & 0.998295404380821 & 0.00340919123835741 & 0.0017045956191787 \tabularnewline
57 & 0.998078932355541 & 0.00384213528891701 & 0.0019210676444585 \tabularnewline
58 & 0.998346004754102 & 0.00330799049179633 & 0.00165399524589817 \tabularnewline
59 & 0.9976585355126 & 0.0046829289747993 & 0.00234146448739965 \tabularnewline
60 & 0.99713844943735 & 0.00572310112530075 & 0.00286155056265037 \tabularnewline
61 & 0.996300645960015 & 0.0073987080799699 & 0.00369935403998495 \tabularnewline
62 & 0.995191618048791 & 0.0096167639024179 & 0.00480838195120895 \tabularnewline
63 & 0.99347355331927 & 0.0130528933614601 & 0.00652644668073004 \tabularnewline
64 & 0.991217361965121 & 0.0175652760697582 & 0.0087826380348791 \tabularnewline
65 & 0.996624874382589 & 0.00675025123482239 & 0.0033751256174112 \tabularnewline
66 & 0.995890962497616 & 0.00821807500476703 & 0.00410903750238351 \tabularnewline
67 & 0.998880477414849 & 0.00223904517030107 & 0.00111952258515054 \tabularnewline
68 & 0.998584861915019 & 0.00283027616996213 & 0.00141513808498106 \tabularnewline
69 & 0.998533860655616 & 0.00293227868876878 & 0.00146613934438439 \tabularnewline
70 & 0.998604222498949 & 0.00279155500210234 & 0.00139577750105117 \tabularnewline
71 & 0.998229396151814 & 0.00354120769637124 & 0.00177060384818562 \tabularnewline
72 & 0.997789600692902 & 0.00442079861419618 & 0.00221039930709809 \tabularnewline
73 & 0.997150928580769 & 0.00569814283846135 & 0.00284907141923067 \tabularnewline
74 & 0.99615117976677 & 0.00769764046645951 & 0.00384882023322976 \tabularnewline
75 & 0.997390499056003 & 0.00521900188799341 & 0.0026095009439967 \tabularnewline
76 & 0.996722905997995 & 0.00655418800401073 & 0.00327709400200536 \tabularnewline
77 & 0.995980145351275 & 0.00803970929745097 & 0.00401985464872548 \tabularnewline
78 & 0.995237266121593 & 0.00952546775681358 & 0.00476273387840679 \tabularnewline
79 & 0.994864331529247 & 0.0102713369415058 & 0.00513566847075292 \tabularnewline
80 & 0.993250730823358 & 0.0134985383532843 & 0.00674926917664217 \tabularnewline
81 & 0.992048024936487 & 0.0159039501270255 & 0.00795197506351273 \tabularnewline
82 & 0.989990098241422 & 0.0200198035171567 & 0.0100099017585784 \tabularnewline
83 & 0.999383426150021 & 0.00123314769995755 & 0.000616573849978775 \tabularnewline
84 & 0.999229751648673 & 0.00154049670265304 & 0.000770248351326519 \tabularnewline
85 & 0.998940734290032 & 0.00211853141993659 & 0.00105926570996829 \tabularnewline
86 & 0.998574193668978 & 0.00285161266204467 & 0.00142580633102234 \tabularnewline
87 & 0.998091483275859 & 0.00381703344828277 & 0.00190851672414138 \tabularnewline
88 & 0.997786545838012 & 0.00442690832397631 & 0.00221345416198815 \tabularnewline
89 & 0.999946607265653 & 0.000106785468693082 & 5.3392734346541e-05 \tabularnewline
90 & 0.999938915181234 & 0.000122169637532571 & 6.10848187662855e-05 \tabularnewline
91 & 0.999968517270204 & 6.29654595928463e-05 & 3.14827297964232e-05 \tabularnewline
92 & 0.999971878559849 & 5.62428803012245e-05 & 2.81214401506123e-05 \tabularnewline
93 & 0.999961825251154 & 7.63494976912757e-05 & 3.81747488456378e-05 \tabularnewline
94 & 0.999957119855282 & 8.5760289435099e-05 & 4.28801447175495e-05 \tabularnewline
95 & 0.999939564870261 & 0.000120870259477019 & 6.04351297385094e-05 \tabularnewline
96 & 0.999928114791684 & 0.00014377041663279 & 7.1885208316395e-05 \tabularnewline
97 & 0.999903751738061 & 0.000192496523878613 & 9.62482619393064e-05 \tabularnewline
98 & 0.999985217041762 & 2.95659164754951e-05 & 1.47829582377476e-05 \tabularnewline
99 & 0.999981016610445 & 3.79667791106183e-05 & 1.89833895553091e-05 \tabularnewline
100 & 0.999973502929876 & 5.29941402479487e-05 & 2.64970701239743e-05 \tabularnewline
101 & 0.999961865941805 & 7.62681163898243e-05 & 3.81340581949122e-05 \tabularnewline
102 & 0.999944500487265 & 0.000110999025470094 & 5.54995127350472e-05 \tabularnewline
103 & 0.999968324768449 & 6.33504631018179e-05 & 3.1675231550909e-05 \tabularnewline
104 & 0.999958187279828 & 8.36254403449192e-05 & 4.18127201724596e-05 \tabularnewline
105 & 0.999939870785764 & 0.000120258428472568 & 6.01292142362839e-05 \tabularnewline
106 & 0.999923609212731 & 0.000152781574538382 & 7.6390787269191e-05 \tabularnewline
107 & 0.999964302660696 & 7.13946786070974e-05 & 3.56973393035487e-05 \tabularnewline
108 & 0.99994834048758 & 0.000103319024840405 & 5.16595124202025e-05 \tabularnewline
109 & 0.999930783273361 & 0.000138433453277692 & 6.92167266388459e-05 \tabularnewline
110 & 0.999926208879413 & 0.00014758224117419 & 7.37911205870951e-05 \tabularnewline
111 & 0.99992518682298 & 0.000149626354040166 & 7.48131770200829e-05 \tabularnewline
112 & 0.999899959324254 & 0.000200081351491836 & 0.000100040675745918 \tabularnewline
113 & 0.999869238738077 & 0.000261522523845704 & 0.000130761261922852 \tabularnewline
114 & 0.999816441082785 & 0.000367117834429228 & 0.000183558917214614 \tabularnewline
115 & 0.999785190500153 & 0.000429618999693245 & 0.000214809499846622 \tabularnewline
116 & 0.999718981919678 & 0.000562036160643624 & 0.000281018080321812 \tabularnewline
117 & 0.999611102981145 & 0.000777794037710222 & 0.000388897018855111 \tabularnewline
118 & 0.999774127946668 & 0.000451744106663325 & 0.000225872053331662 \tabularnewline
119 & 0.999974863431319 & 5.02731373618731e-05 & 2.51365686809365e-05 \tabularnewline
120 & 0.999968449136864 & 6.31017262713647e-05 & 3.15508631356824e-05 \tabularnewline
121 & 0.999954245068207 & 9.15098635861638e-05 & 4.57549317930819e-05 \tabularnewline
122 & 0.999973418825042 & 5.31623499159207e-05 & 2.65811749579604e-05 \tabularnewline
123 & 0.999975990828705 & 4.801834259037e-05 & 2.4009171295185e-05 \tabularnewline
124 & 0.999986964143377 & 2.60717132464074e-05 & 1.30358566232037e-05 \tabularnewline
125 & 0.999987155287779 & 2.56894244420237e-05 & 1.28447122210118e-05 \tabularnewline
126 & 0.999982037559586 & 3.59248808271554e-05 & 1.79624404135777e-05 \tabularnewline
127 & 0.999974652985495 & 5.06940290099898e-05 & 2.53470145049949e-05 \tabularnewline
128 & 0.999963454885072 & 7.30902298566478e-05 & 3.65451149283239e-05 \tabularnewline
129 & 0.999989978206406 & 2.00435871877141e-05 & 1.00217935938571e-05 \tabularnewline
130 & 0.999985291748516 & 2.94165029682369e-05 & 1.47082514841185e-05 \tabularnewline
131 & 0.999978481789135 & 4.3036421730522e-05 & 2.1518210865261e-05 \tabularnewline
132 & 0.999974066708372 & 5.18665832561475e-05 & 2.59332916280738e-05 \tabularnewline
133 & 0.999965625823474 & 6.87483530515278e-05 & 3.43741765257639e-05 \tabularnewline
134 & 0.999983564259086 & 3.28714818278857e-05 & 1.64357409139429e-05 \tabularnewline
135 & 0.999979078669312 & 4.1842661376136e-05 & 2.0921330688068e-05 \tabularnewline
136 & 0.999972453783085 & 5.50924338303467e-05 & 2.75462169151734e-05 \tabularnewline
137 & 0.999960559644098 & 7.88807118045427e-05 & 3.94403559022713e-05 \tabularnewline
138 & 0.999948904357532 & 0.000102191284935048 & 5.10956424675238e-05 \tabularnewline
139 & 0.99994443187329 & 0.000111136253419928 & 5.55681267099641e-05 \tabularnewline
140 & 0.999923790675084 & 0.000152418649832789 & 7.62093249163944e-05 \tabularnewline
141 & 0.999922107634087 & 0.000155784731825366 & 7.78923659126832e-05 \tabularnewline
142 & 0.999901220246557 & 0.000197559506886488 & 9.87797534432438e-05 \tabularnewline
143 & 0.999891292467727 & 0.000217415064545905 & 0.000108707532272953 \tabularnewline
144 & 0.999942056838679 & 0.00011588632264115 & 5.7943161320575e-05 \tabularnewline
145 & 0.999959469715361 & 8.10605692772124e-05 & 4.05302846386062e-05 \tabularnewline
146 & 0.999949791361263 & 0.00010041727747467 & 5.02086387373351e-05 \tabularnewline
147 & 0.999966144410553 & 6.77111788932115e-05 & 3.38555894466057e-05 \tabularnewline
148 & 0.999963929445576 & 7.21411088474264e-05 & 3.60705544237132e-05 \tabularnewline
149 & 0.999959416473056 & 8.11670538875369e-05 & 4.05835269437685e-05 \tabularnewline
150 & 0.999942599820995 & 0.000114800358009277 & 5.74001790046385e-05 \tabularnewline
151 & 0.999951680029514 & 9.66399409716794e-05 & 4.83199704858397e-05 \tabularnewline
152 & 0.999936455765884 & 0.000127088468231457 & 6.35442341157284e-05 \tabularnewline
153 & 0.99992417524356 & 0.000151649512879873 & 7.58247564399366e-05 \tabularnewline
154 & 0.999891825865954 & 0.000216348268092024 & 0.000108174134046012 \tabularnewline
155 & 0.999931179696509 & 0.000137640606982733 & 6.88203034913665e-05 \tabularnewline
156 & 0.999915417212048 & 0.000169165575904559 & 8.45827879522794e-05 \tabularnewline
157 & 0.999879899364568 & 0.000240201270864564 & 0.000120100635432282 \tabularnewline
158 & 0.999881011550466 & 0.000237976899067422 & 0.000118988449533711 \tabularnewline
159 & 0.999918378178315 & 0.000163243643369894 & 8.16218216849468e-05 \tabularnewline
160 & 0.999893200189314 & 0.000213599621372195 & 0.000106799810686097 \tabularnewline
161 & 0.999854237647972 & 0.000291524704055655 & 0.000145762352027827 \tabularnewline
162 & 0.99983050673039 & 0.00033898653922016 & 0.00016949326961008 \tabularnewline
163 & 0.999833533890527 & 0.000332932218945754 & 0.000166466109472877 \tabularnewline
164 & 0.999848959788896 & 0.000302080422208586 & 0.000151040211104293 \tabularnewline
165 & 0.999848334985063 & 0.000303330029873062 & 0.000151665014936531 \tabularnewline
166 & 0.999842319954775 & 0.000315360090449618 & 0.000157680045224809 \tabularnewline
167 & 0.99979623227214 & 0.000407535455719745 & 0.000203767727859872 \tabularnewline
168 & 0.999784516875945 & 0.000430966248109307 & 0.000215483124054653 \tabularnewline
169 & 0.999736699022397 & 0.000526601955206368 & 0.000263300977603184 \tabularnewline
170 & 0.999990607373442 & 1.87852531165642e-05 & 9.39262655828211e-06 \tabularnewline
171 & 0.99998773380459 & 2.4532390819201e-05 & 1.22661954096005e-05 \tabularnewline
172 & 0.999986157943138 & 2.76841137233824e-05 & 1.38420568616912e-05 \tabularnewline
173 & 0.999995334773924 & 9.33045215287832e-06 & 4.66522607643916e-06 \tabularnewline
174 & 0.99999908157328 & 1.83685343905224e-06 & 9.18426719526119e-07 \tabularnewline
175 & 0.999999286211823 & 1.42757635492767e-06 & 7.13788177463833e-07 \tabularnewline
176 & 0.999998915442918 & 2.16911416427443e-06 & 1.08455708213721e-06 \tabularnewline
177 & 0.999998862790993 & 2.27441801470911e-06 & 1.13720900735455e-06 \tabularnewline
178 & 0.999998528021308 & 2.94395738368919e-06 & 1.47197869184459e-06 \tabularnewline
179 & 0.999997817177582 & 4.36564483522829e-06 & 2.18282241761414e-06 \tabularnewline
180 & 0.999998184587994 & 3.63082401219288e-06 & 1.81541200609644e-06 \tabularnewline
181 & 0.999997446262942 & 5.1074741157457e-06 & 2.55373705787285e-06 \tabularnewline
182 & 0.999998811180605 & 2.37763879098943e-06 & 1.18881939549471e-06 \tabularnewline
183 & 0.999998193169943 & 3.61366011466e-06 & 1.80683005733e-06 \tabularnewline
184 & 0.999997773277135 & 4.45344573072049e-06 & 2.22672286536025e-06 \tabularnewline
185 & 0.999997037900246 & 5.92419950776488e-06 & 2.96209975388244e-06 \tabularnewline
186 & 0.999996030264321 & 7.93947135871257e-06 & 3.96973567935628e-06 \tabularnewline
187 & 0.999995814835098 & 8.37032980354289e-06 & 4.18516490177144e-06 \tabularnewline
188 & 0.999993929418 & 1.21411639993455e-05 & 6.07058199967274e-06 \tabularnewline
189 & 0.999990603164219 & 1.87936715619814e-05 & 9.39683578099072e-06 \tabularnewline
190 & 0.999990511812955 & 1.89763740905366e-05 & 9.4881870452683e-06 \tabularnewline
191 & 0.999999705571267 & 5.88857465832931e-07 & 2.94428732916465e-07 \tabularnewline
192 & 0.999999533123136 & 9.33753728671271e-07 & 4.66876864335635e-07 \tabularnewline
193 & 0.999999283331428 & 1.43333714498687e-06 & 7.16668572493435e-07 \tabularnewline
194 & 0.999999079023196 & 1.84195360796566e-06 & 9.20976803982832e-07 \tabularnewline
195 & 0.999998600696473 & 2.7986070537632e-06 & 1.3993035268816e-06 \tabularnewline
196 & 0.999998644937919 & 2.71012416124836e-06 & 1.35506208062418e-06 \tabularnewline
197 & 0.999998366040496 & 3.26791900804888e-06 & 1.63395950402444e-06 \tabularnewline
198 & 0.999997467278823 & 5.06544235406289e-06 & 2.53272117703145e-06 \tabularnewline
199 & 0.999997646424672 & 4.70715065519956e-06 & 2.35357532759978e-06 \tabularnewline
200 & 0.999996573188501 & 6.85362299899044e-06 & 3.42681149949522e-06 \tabularnewline
201 & 0.999995126186288 & 9.74762742374264e-06 & 4.87381371187132e-06 \tabularnewline
202 & 0.999992281369321 & 1.54372613584368e-05 & 7.71863067921839e-06 \tabularnewline
203 & 0.999991292991238 & 1.74140175240813e-05 & 8.70700876204067e-06 \tabularnewline
204 & 0.999986062935595 & 2.78741288099404e-05 & 1.39370644049702e-05 \tabularnewline
205 & 0.999980571104036 & 3.88577919278851e-05 & 1.94288959639426e-05 \tabularnewline
206 & 0.999970116402553 & 5.97671948936446e-05 & 2.98835974468223e-05 \tabularnewline
207 & 0.999953971394035 & 9.20572119304116e-05 & 4.60286059652058e-05 \tabularnewline
208 & 0.999988261308529 & 2.34773829418902e-05 & 1.17386914709451e-05 \tabularnewline
209 & 0.999992984993281 & 1.40300134372853e-05 & 7.01500671864263e-06 \tabularnewline
210 & 0.999988495335201 & 2.30093295989099e-05 & 1.15046647994549e-05 \tabularnewline
211 & 0.999982855045416 & 3.42899091680295e-05 & 1.71449545840147e-05 \tabularnewline
212 & 0.999994373530137 & 1.12529397261179e-05 & 5.62646986305897e-06 \tabularnewline
213 & 0.999990778351898 & 1.84432962050253e-05 & 9.22164810251263e-06 \tabularnewline
214 & 0.999985224088702 & 2.95518225961757e-05 & 1.47759112980878e-05 \tabularnewline
215 & 0.999977175584107 & 4.56488317849798e-05 & 2.28244158924899e-05 \tabularnewline
216 & 0.999967579506559 & 6.48409868824481e-05 & 3.2420493441224e-05 \tabularnewline
217 & 0.999986600485647 & 2.67990287062609e-05 & 1.33995143531304e-05 \tabularnewline
218 & 0.999977913804175 & 4.41723916507775e-05 & 2.20861958253888e-05 \tabularnewline
219 & 0.999965370730436 & 6.92585391281936e-05 & 3.46292695640968e-05 \tabularnewline
220 & 0.999949501190634 & 0.000100997618732978 & 5.04988093664889e-05 \tabularnewline
221 & 0.999937074112542 & 0.000125851774915332 & 6.29258874576658e-05 \tabularnewline
222 & 0.999982263036385 & 3.54739272292433e-05 & 1.77369636146217e-05 \tabularnewline
223 & 0.999985285009809 & 2.94299803820428e-05 & 1.47149901910214e-05 \tabularnewline
224 & 0.99997498629526 & 5.00274094795329e-05 & 2.50137047397665e-05 \tabularnewline
225 & 0.99995749760102 & 8.50047979589268e-05 & 4.25023989794634e-05 \tabularnewline
226 & 0.999939270632814 & 0.000121458734371659 & 6.07293671858297e-05 \tabularnewline
227 & 0.999914725868447 & 0.000170548263105755 & 8.52741315528777e-05 \tabularnewline
228 & 0.999900283812289 & 0.000199432375422164 & 9.97161877110818e-05 \tabularnewline
229 & 0.999834842712032 & 0.000330314575935103 & 0.000165157287967552 \tabularnewline
230 & 0.999907289214183 & 0.000185421571634523 & 9.27107858172614e-05 \tabularnewline
231 & 0.999912743621486 & 0.000174512757029062 & 8.72563785145309e-05 \tabularnewline
232 & 0.999852537667182 & 0.000294924665636496 & 0.000147462332818248 \tabularnewline
233 & 0.999999316731638 & 1.36653672445952e-06 & 6.8326836222976e-07 \tabularnewline
234 & 0.999998695341992 & 2.60931601661113e-06 & 1.30465800830556e-06 \tabularnewline
235 & 0.999997445053437 & 5.10989312566101e-06 & 2.5549465628305e-06 \tabularnewline
236 & 0.999995079717623 & 9.84056475367191e-06 & 4.92028237683595e-06 \tabularnewline
237 & 0.999999976552971 & 4.68940588506331e-08 & 2.34470294253165e-08 \tabularnewline
238 & 0.999999945337266 & 1.09325468590772e-07 & 5.46627342953858e-08 \tabularnewline
239 & 0.999999878495962 & 2.43008075331584e-07 & 1.21504037665792e-07 \tabularnewline
240 & 0.999999771302971 & 4.57394057266265e-07 & 2.28697028633133e-07 \tabularnewline
241 & 0.99999949894033 & 1.00211934052914e-06 & 5.01059670264568e-07 \tabularnewline
242 & 0.999999079794894 & 1.84041021254609e-06 & 9.20205106273046e-07 \tabularnewline
243 & 0.999998224543511 & 3.55091297834381e-06 & 1.7754564891719e-06 \tabularnewline
244 & 0.999996205113489 & 7.58977302266659e-06 & 3.7948865113333e-06 \tabularnewline
245 & 0.999994356100735 & 1.12877985306109e-05 & 5.64389926530543e-06 \tabularnewline
246 & 0.99998929066844 & 2.14186631198965e-05 & 1.07093315599482e-05 \tabularnewline
247 & 0.999992005245483 & 1.59895090335893e-05 & 7.99475451679467e-06 \tabularnewline
248 & 0.999984828485127 & 3.03430297449757e-05 & 1.51715148724878e-05 \tabularnewline
249 & 0.99997362511078 & 5.27497784403981e-05 & 2.63748892201991e-05 \tabularnewline
250 & 0.999964380572225 & 7.12388555508201e-05 & 3.561942777541e-05 \tabularnewline
251 & 0.999943068867137 & 0.000113862265725264 & 5.69311328626322e-05 \tabularnewline
252 & 0.999903651094946 & 0.000192697810107539 & 9.63489050537697e-05 \tabularnewline
253 & 0.999792328751655 & 0.000415342496689943 & 0.000207671248344972 \tabularnewline
254 & 0.999574135173808 & 0.000851729652383487 & 0.000425864826191743 \tabularnewline
255 & 0.99960173808828 & 0.000796523823439465 & 0.000398261911719732 \tabularnewline
256 & 0.999159650148154 & 0.001680699703692 & 0.000840349851845998 \tabularnewline
257 & 0.998848573925589 & 0.00230285214882139 & 0.0011514260744107 \tabularnewline
258 & 0.99920401940843 & 0.00159196118313939 & 0.000795980591569695 \tabularnewline
259 & 0.998339120633191 & 0.00332175873361843 & 0.00166087936680921 \tabularnewline
260 & 0.997098289612785 & 0.00580342077442981 & 0.0029017103872149 \tabularnewline
261 & 0.994853409370744 & 0.0102931812585116 & 0.00514659062925578 \tabularnewline
262 & 0.989557868903066 & 0.0208842621938683 & 0.0104421310969341 \tabularnewline
263 & 0.985541067689334 & 0.0289178646213321 & 0.014458932310666 \tabularnewline
264 & 0.986050910303928 & 0.0278981793921431 & 0.0139490896960715 \tabularnewline
265 & 0.97862338690823 & 0.0427532261835397 & 0.0213766130917699 \tabularnewline
266 & 0.958666493083584 & 0.0826670138328316 & 0.0413335069164158 \tabularnewline
267 & 0.925142781021516 & 0.149714437956967 & 0.0748572189784837 \tabularnewline
268 & 0.881559058717994 & 0.236881882564012 & 0.118440941282006 \tabularnewline
269 & 0.998299845257793 & 0.0034003094844145 & 0.00170015474220725 \tabularnewline
270 & 0.997391525635932 & 0.00521694872813512 & 0.00260847436406756 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=191164&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]0.75895823478431[/C][C]0.48208353043138[/C][C]0.24104176521569[/C][/ROW]
[ROW][C]20[/C][C]0.728502334729193[/C][C]0.542995330541614[/C][C]0.271497665270807[/C][/ROW]
[ROW][C]21[/C][C]0.697536341167865[/C][C]0.604927317664269[/C][C]0.302463658832135[/C][/ROW]
[ROW][C]22[/C][C]0.763075487457523[/C][C]0.473849025084955[/C][C]0.236924512542477[/C][/ROW]
[ROW][C]23[/C][C]0.956284955995011[/C][C]0.0874300880099786[/C][C]0.0437150440049893[/C][/ROW]
[ROW][C]24[/C][C]0.930017099574471[/C][C]0.139965800851059[/C][C]0.0699829004255293[/C][/ROW]
[ROW][C]25[/C][C]0.96133076068798[/C][C]0.0773384786240392[/C][C]0.0386692393120196[/C][/ROW]
[ROW][C]26[/C][C]0.972006342388949[/C][C]0.0559873152221014[/C][C]0.0279936576110507[/C][/ROW]
[ROW][C]27[/C][C]0.973543273034047[/C][C]0.052913453931906[/C][C]0.026456726965953[/C][/ROW]
[ROW][C]28[/C][C]0.973914889389513[/C][C]0.0521702212209747[/C][C]0.0260851106104874[/C][/ROW]
[ROW][C]29[/C][C]0.969497083764572[/C][C]0.0610058324708569[/C][C]0.0305029162354284[/C][/ROW]
[ROW][C]30[/C][C]0.958936780217007[/C][C]0.0821264395659856[/C][C]0.0410632197829928[/C][/ROW]
[ROW][C]31[/C][C]0.984574235972535[/C][C]0.0308515280549302[/C][C]0.0154257640274651[/C][/ROW]
[ROW][C]32[/C][C]0.977594740296918[/C][C]0.0448105194061648[/C][C]0.0224052597030824[/C][/ROW]
[ROW][C]33[/C][C]0.968287236661102[/C][C]0.0634255266777954[/C][C]0.0317127633388977[/C][/ROW]
[ROW][C]34[/C][C]0.955734267886936[/C][C]0.0885314642261284[/C][C]0.0442657321130642[/C][/ROW]
[ROW][C]35[/C][C]0.938596826175619[/C][C]0.122806347648763[/C][C]0.0614031738243814[/C][/ROW]
[ROW][C]36[/C][C]0.921933627406111[/C][C]0.156132745187779[/C][C]0.0780663725938893[/C][/ROW]
[ROW][C]37[/C][C]0.896718412168907[/C][C]0.206563175662186[/C][C]0.103281587831093[/C][/ROW]
[ROW][C]38[/C][C]0.867109161445975[/C][C]0.26578167710805[/C][C]0.132890838554025[/C][/ROW]
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[ROW][C]120[/C][C]0.999968449136864[/C][C]6.31017262713647e-05[/C][C]3.15508631356824e-05[/C][/ROW]
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[ROW][C]130[/C][C]0.999985291748516[/C][C]2.94165029682369e-05[/C][C]1.47082514841185e-05[/C][/ROW]
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[ROW][C]180[/C][C]0.999998184587994[/C][C]3.63082401219288e-06[/C][C]1.81541200609644e-06[/C][/ROW]
[ROW][C]181[/C][C]0.999997446262942[/C][C]5.1074741157457e-06[/C][C]2.55373705787285e-06[/C][/ROW]
[ROW][C]182[/C][C]0.999998811180605[/C][C]2.37763879098943e-06[/C][C]1.18881939549471e-06[/C][/ROW]
[ROW][C]183[/C][C]0.999998193169943[/C][C]3.61366011466e-06[/C][C]1.80683005733e-06[/C][/ROW]
[ROW][C]184[/C][C]0.999997773277135[/C][C]4.45344573072049e-06[/C][C]2.22672286536025e-06[/C][/ROW]
[ROW][C]185[/C][C]0.999997037900246[/C][C]5.92419950776488e-06[/C][C]2.96209975388244e-06[/C][/ROW]
[ROW][C]186[/C][C]0.999996030264321[/C][C]7.93947135871257e-06[/C][C]3.96973567935628e-06[/C][/ROW]
[ROW][C]187[/C][C]0.999995814835098[/C][C]8.37032980354289e-06[/C][C]4.18516490177144e-06[/C][/ROW]
[ROW][C]188[/C][C]0.999993929418[/C][C]1.21411639993455e-05[/C][C]6.07058199967274e-06[/C][/ROW]
[ROW][C]189[/C][C]0.999990603164219[/C][C]1.87936715619814e-05[/C][C]9.39683578099072e-06[/C][/ROW]
[ROW][C]190[/C][C]0.999990511812955[/C][C]1.89763740905366e-05[/C][C]9.4881870452683e-06[/C][/ROW]
[ROW][C]191[/C][C]0.999999705571267[/C][C]5.88857465832931e-07[/C][C]2.94428732916465e-07[/C][/ROW]
[ROW][C]192[/C][C]0.999999533123136[/C][C]9.33753728671271e-07[/C][C]4.66876864335635e-07[/C][/ROW]
[ROW][C]193[/C][C]0.999999283331428[/C][C]1.43333714498687e-06[/C][C]7.16668572493435e-07[/C][/ROW]
[ROW][C]194[/C][C]0.999999079023196[/C][C]1.84195360796566e-06[/C][C]9.20976803982832e-07[/C][/ROW]
[ROW][C]195[/C][C]0.999998600696473[/C][C]2.7986070537632e-06[/C][C]1.3993035268816e-06[/C][/ROW]
[ROW][C]196[/C][C]0.999998644937919[/C][C]2.71012416124836e-06[/C][C]1.35506208062418e-06[/C][/ROW]
[ROW][C]197[/C][C]0.999998366040496[/C][C]3.26791900804888e-06[/C][C]1.63395950402444e-06[/C][/ROW]
[ROW][C]198[/C][C]0.999997467278823[/C][C]5.06544235406289e-06[/C][C]2.53272117703145e-06[/C][/ROW]
[ROW][C]199[/C][C]0.999997646424672[/C][C]4.70715065519956e-06[/C][C]2.35357532759978e-06[/C][/ROW]
[ROW][C]200[/C][C]0.999996573188501[/C][C]6.85362299899044e-06[/C][C]3.42681149949522e-06[/C][/ROW]
[ROW][C]201[/C][C]0.999995126186288[/C][C]9.74762742374264e-06[/C][C]4.87381371187132e-06[/C][/ROW]
[ROW][C]202[/C][C]0.999992281369321[/C][C]1.54372613584368e-05[/C][C]7.71863067921839e-06[/C][/ROW]
[ROW][C]203[/C][C]0.999991292991238[/C][C]1.74140175240813e-05[/C][C]8.70700876204067e-06[/C][/ROW]
[ROW][C]204[/C][C]0.999986062935595[/C][C]2.78741288099404e-05[/C][C]1.39370644049702e-05[/C][/ROW]
[ROW][C]205[/C][C]0.999980571104036[/C][C]3.88577919278851e-05[/C][C]1.94288959639426e-05[/C][/ROW]
[ROW][C]206[/C][C]0.999970116402553[/C][C]5.97671948936446e-05[/C][C]2.98835974468223e-05[/C][/ROW]
[ROW][C]207[/C][C]0.999953971394035[/C][C]9.20572119304116e-05[/C][C]4.60286059652058e-05[/C][/ROW]
[ROW][C]208[/C][C]0.999988261308529[/C][C]2.34773829418902e-05[/C][C]1.17386914709451e-05[/C][/ROW]
[ROW][C]209[/C][C]0.999992984993281[/C][C]1.40300134372853e-05[/C][C]7.01500671864263e-06[/C][/ROW]
[ROW][C]210[/C][C]0.999988495335201[/C][C]2.30093295989099e-05[/C][C]1.15046647994549e-05[/C][/ROW]
[ROW][C]211[/C][C]0.999982855045416[/C][C]3.42899091680295e-05[/C][C]1.71449545840147e-05[/C][/ROW]
[ROW][C]212[/C][C]0.999994373530137[/C][C]1.12529397261179e-05[/C][C]5.62646986305897e-06[/C][/ROW]
[ROW][C]213[/C][C]0.999990778351898[/C][C]1.84432962050253e-05[/C][C]9.22164810251263e-06[/C][/ROW]
[ROW][C]214[/C][C]0.999985224088702[/C][C]2.95518225961757e-05[/C][C]1.47759112980878e-05[/C][/ROW]
[ROW][C]215[/C][C]0.999977175584107[/C][C]4.56488317849798e-05[/C][C]2.28244158924899e-05[/C][/ROW]
[ROW][C]216[/C][C]0.999967579506559[/C][C]6.48409868824481e-05[/C][C]3.2420493441224e-05[/C][/ROW]
[ROW][C]217[/C][C]0.999986600485647[/C][C]2.67990287062609e-05[/C][C]1.33995143531304e-05[/C][/ROW]
[ROW][C]218[/C][C]0.999977913804175[/C][C]4.41723916507775e-05[/C][C]2.20861958253888e-05[/C][/ROW]
[ROW][C]219[/C][C]0.999965370730436[/C][C]6.92585391281936e-05[/C][C]3.46292695640968e-05[/C][/ROW]
[ROW][C]220[/C][C]0.999949501190634[/C][C]0.000100997618732978[/C][C]5.04988093664889e-05[/C][/ROW]
[ROW][C]221[/C][C]0.999937074112542[/C][C]0.000125851774915332[/C][C]6.29258874576658e-05[/C][/ROW]
[ROW][C]222[/C][C]0.999982263036385[/C][C]3.54739272292433e-05[/C][C]1.77369636146217e-05[/C][/ROW]
[ROW][C]223[/C][C]0.999985285009809[/C][C]2.94299803820428e-05[/C][C]1.47149901910214e-05[/C][/ROW]
[ROW][C]224[/C][C]0.99997498629526[/C][C]5.00274094795329e-05[/C][C]2.50137047397665e-05[/C][/ROW]
[ROW][C]225[/C][C]0.99995749760102[/C][C]8.50047979589268e-05[/C][C]4.25023989794634e-05[/C][/ROW]
[ROW][C]226[/C][C]0.999939270632814[/C][C]0.000121458734371659[/C][C]6.07293671858297e-05[/C][/ROW]
[ROW][C]227[/C][C]0.999914725868447[/C][C]0.000170548263105755[/C][C]8.52741315528777e-05[/C][/ROW]
[ROW][C]228[/C][C]0.999900283812289[/C][C]0.000199432375422164[/C][C]9.97161877110818e-05[/C][/ROW]
[ROW][C]229[/C][C]0.999834842712032[/C][C]0.000330314575935103[/C][C]0.000165157287967552[/C][/ROW]
[ROW][C]230[/C][C]0.999907289214183[/C][C]0.000185421571634523[/C][C]9.27107858172614e-05[/C][/ROW]
[ROW][C]231[/C][C]0.999912743621486[/C][C]0.000174512757029062[/C][C]8.72563785145309e-05[/C][/ROW]
[ROW][C]232[/C][C]0.999852537667182[/C][C]0.000294924665636496[/C][C]0.000147462332818248[/C][/ROW]
[ROW][C]233[/C][C]0.999999316731638[/C][C]1.36653672445952e-06[/C][C]6.8326836222976e-07[/C][/ROW]
[ROW][C]234[/C][C]0.999998695341992[/C][C]2.60931601661113e-06[/C][C]1.30465800830556e-06[/C][/ROW]
[ROW][C]235[/C][C]0.999997445053437[/C][C]5.10989312566101e-06[/C][C]2.5549465628305e-06[/C][/ROW]
[ROW][C]236[/C][C]0.999995079717623[/C][C]9.84056475367191e-06[/C][C]4.92028237683595e-06[/C][/ROW]
[ROW][C]237[/C][C]0.999999976552971[/C][C]4.68940588506331e-08[/C][C]2.34470294253165e-08[/C][/ROW]
[ROW][C]238[/C][C]0.999999945337266[/C][C]1.09325468590772e-07[/C][C]5.46627342953858e-08[/C][/ROW]
[ROW][C]239[/C][C]0.999999878495962[/C][C]2.43008075331584e-07[/C][C]1.21504037665792e-07[/C][/ROW]
[ROW][C]240[/C][C]0.999999771302971[/C][C]4.57394057266265e-07[/C][C]2.28697028633133e-07[/C][/ROW]
[ROW][C]241[/C][C]0.99999949894033[/C][C]1.00211934052914e-06[/C][C]5.01059670264568e-07[/C][/ROW]
[ROW][C]242[/C][C]0.999999079794894[/C][C]1.84041021254609e-06[/C][C]9.20205106273046e-07[/C][/ROW]
[ROW][C]243[/C][C]0.999998224543511[/C][C]3.55091297834381e-06[/C][C]1.7754564891719e-06[/C][/ROW]
[ROW][C]244[/C][C]0.999996205113489[/C][C]7.58977302266659e-06[/C][C]3.7948865113333e-06[/C][/ROW]
[ROW][C]245[/C][C]0.999994356100735[/C][C]1.12877985306109e-05[/C][C]5.64389926530543e-06[/C][/ROW]
[ROW][C]246[/C][C]0.99998929066844[/C][C]2.14186631198965e-05[/C][C]1.07093315599482e-05[/C][/ROW]
[ROW][C]247[/C][C]0.999992005245483[/C][C]1.59895090335893e-05[/C][C]7.99475451679467e-06[/C][/ROW]
[ROW][C]248[/C][C]0.999984828485127[/C][C]3.03430297449757e-05[/C][C]1.51715148724878e-05[/C][/ROW]
[ROW][C]249[/C][C]0.99997362511078[/C][C]5.27497784403981e-05[/C][C]2.63748892201991e-05[/C][/ROW]
[ROW][C]250[/C][C]0.999964380572225[/C][C]7.12388555508201e-05[/C][C]3.561942777541e-05[/C][/ROW]
[ROW][C]251[/C][C]0.999943068867137[/C][C]0.000113862265725264[/C][C]5.69311328626322e-05[/C][/ROW]
[ROW][C]252[/C][C]0.999903651094946[/C][C]0.000192697810107539[/C][C]9.63489050537697e-05[/C][/ROW]
[ROW][C]253[/C][C]0.999792328751655[/C][C]0.000415342496689943[/C][C]0.000207671248344972[/C][/ROW]
[ROW][C]254[/C][C]0.999574135173808[/C][C]0.000851729652383487[/C][C]0.000425864826191743[/C][/ROW]
[ROW][C]255[/C][C]0.99960173808828[/C][C]0.000796523823439465[/C][C]0.000398261911719732[/C][/ROW]
[ROW][C]256[/C][C]0.999159650148154[/C][C]0.001680699703692[/C][C]0.000840349851845998[/C][/ROW]
[ROW][C]257[/C][C]0.998848573925589[/C][C]0.00230285214882139[/C][C]0.0011514260744107[/C][/ROW]
[ROW][C]258[/C][C]0.99920401940843[/C][C]0.00159196118313939[/C][C]0.000795980591569695[/C][/ROW]
[ROW][C]259[/C][C]0.998339120633191[/C][C]0.00332175873361843[/C][C]0.00166087936680921[/C][/ROW]
[ROW][C]260[/C][C]0.997098289612785[/C][C]0.00580342077442981[/C][C]0.0029017103872149[/C][/ROW]
[ROW][C]261[/C][C]0.994853409370744[/C][C]0.0102931812585116[/C][C]0.00514659062925578[/C][/ROW]
[ROW][C]262[/C][C]0.989557868903066[/C][C]0.0208842621938683[/C][C]0.0104421310969341[/C][/ROW]
[ROW][C]263[/C][C]0.985541067689334[/C][C]0.0289178646213321[/C][C]0.014458932310666[/C][/ROW]
[ROW][C]264[/C][C]0.986050910303928[/C][C]0.0278981793921431[/C][C]0.0139490896960715[/C][/ROW]
[ROW][C]265[/C][C]0.97862338690823[/C][C]0.0427532261835397[/C][C]0.0213766130917699[/C][/ROW]
[ROW][C]266[/C][C]0.958666493083584[/C][C]0.0826670138328316[/C][C]0.0413335069164158[/C][/ROW]
[ROW][C]267[/C][C]0.925142781021516[/C][C]0.149714437956967[/C][C]0.0748572189784837[/C][/ROW]
[ROW][C]268[/C][C]0.881559058717994[/C][C]0.236881882564012[/C][C]0.118440941282006[/C][/ROW]
[ROW][C]269[/C][C]0.998299845257793[/C][C]0.0034003094844145[/C][C]0.00170015474220725[/C][/ROW]
[ROW][C]270[/C][C]0.997391525635932[/C][C]0.00521694872813512[/C][C]0.00260847436406756[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=191164&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=191164&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-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
19	0.75895823478431	0.48208353043138	0.24104176521569
20	0.728502334729193	0.542995330541614	0.271497665270807
21	0.697536341167865	0.604927317664269	0.302463658832135
22	0.763075487457523	0.473849025084955	0.236924512542477
23	0.956284955995011	0.0874300880099786	0.0437150440049893
24	0.930017099574471	0.139965800851059	0.0699829004255293
25	0.96133076068798	0.0773384786240392	0.0386692393120196
26	0.972006342388949	0.0559873152221014	0.0279936576110507
27	0.973543273034047	0.052913453931906	0.026456726965953
28	0.973914889389513	0.0521702212209747	0.0260851106104874
29	0.969497083764572	0.0610058324708569	0.0305029162354284
30	0.958936780217007	0.0821264395659856	0.0410632197829928
31	0.984574235972535	0.0308515280549302	0.0154257640274651
32	0.977594740296918	0.0448105194061648	0.0224052597030824
33	0.968287236661102	0.0634255266777954	0.0317127633388977
34	0.955734267886936	0.0885314642261284	0.0442657321130642
35	0.938596826175619	0.122806347648763	0.0614031738243814
36	0.921933627406111	0.156132745187779	0.0780663725938893
37	0.896718412168907	0.206563175662186	0.103281587831093
38	0.867109161445975	0.26578167710805	0.132890838554025
39	0.911340471007573	0.177319057984854	0.088659528992427
40	0.928457050497921	0.143085899004157	0.0715429495020786
41	0.908914347523741	0.182171304952517	0.0910856524762586
42	0.888931949798189	0.222136100403623	0.111068050201811
43	0.862120565110428	0.275758869779143	0.137879434889572
44	0.832876565749404	0.334246868501191	0.167123434250596
45	0.860683663497014	0.278632673005972	0.139316336502986
46	0.831439797663187	0.337120404673626	0.168560202336813
47	0.799703426791655	0.400593146416691	0.200296573208345
48	0.763779878307009	0.472440243385983	0.236220121692991
49	0.728352416133322	0.543295167733356	0.271647583866678
50	0.891767692556731	0.216464614886538	0.108232307443269
51	0.988220830771935	0.0235583384561302	0.0117791692280651
52	0.988033502310542	0.0239329953789162	0.0119664976894581
53	0.98575989206573	0.0284802158685404	0.0142401079342702
54	0.996038716242996	0.00792256751400816	0.00396128375700408
55	0.998111315654192	0.00377736869161527	0.00188868434580763
56	0.998295404380821	0.00340919123835741	0.0017045956191787
57	0.998078932355541	0.00384213528891701	0.0019210676444585
58	0.998346004754102	0.00330799049179633	0.00165399524589817
59	0.9976585355126	0.0046829289747993	0.00234146448739965
60	0.99713844943735	0.00572310112530075	0.00286155056265037
61	0.996300645960015	0.0073987080799699	0.00369935403998495
62	0.995191618048791	0.0096167639024179	0.00480838195120895
63	0.99347355331927	0.0130528933614601	0.00652644668073004
64	0.991217361965121	0.0175652760697582	0.0087826380348791
65	0.996624874382589	0.00675025123482239	0.0033751256174112
66	0.995890962497616	0.00821807500476703	0.00410903750238351
67	0.998880477414849	0.00223904517030107	0.00111952258515054
68	0.998584861915019	0.00283027616996213	0.00141513808498106
69	0.998533860655616	0.00293227868876878	0.00146613934438439
70	0.998604222498949	0.00279155500210234	0.00139577750105117
71	0.998229396151814	0.00354120769637124	0.00177060384818562
72	0.997789600692902	0.00442079861419618	0.00221039930709809
73	0.997150928580769	0.00569814283846135	0.00284907141923067
74	0.99615117976677	0.00769764046645951	0.00384882023322976
75	0.997390499056003	0.00521900188799341	0.0026095009439967
76	0.996722905997995	0.00655418800401073	0.00327709400200536
77	0.995980145351275	0.00803970929745097	0.00401985464872548
78	0.995237266121593	0.00952546775681358	0.00476273387840679
79	0.994864331529247	0.0102713369415058	0.00513566847075292
80	0.993250730823358	0.0134985383532843	0.00674926917664217
81	0.992048024936487	0.0159039501270255	0.00795197506351273
82	0.989990098241422	0.0200198035171567	0.0100099017585784
83	0.999383426150021	0.00123314769995755	0.000616573849978775
84	0.999229751648673	0.00154049670265304	0.000770248351326519
85	0.998940734290032	0.00211853141993659	0.00105926570996829
86	0.998574193668978	0.00285161266204467	0.00142580633102234
87	0.998091483275859	0.00381703344828277	0.00190851672414138
88	0.997786545838012	0.00442690832397631	0.00221345416198815
89	0.999946607265653	0.000106785468693082	5.3392734346541e-05
90	0.999938915181234	0.000122169637532571	6.10848187662855e-05
91	0.999968517270204	6.29654595928463e-05	3.14827297964232e-05
92	0.999971878559849	5.62428803012245e-05	2.81214401506123e-05
93	0.999961825251154	7.63494976912757e-05	3.81747488456378e-05
94	0.999957119855282	8.5760289435099e-05	4.28801447175495e-05
95	0.999939564870261	0.000120870259477019	6.04351297385094e-05
96	0.999928114791684	0.00014377041663279	7.1885208316395e-05
97	0.999903751738061	0.000192496523878613	9.62482619393064e-05
98	0.999985217041762	2.95659164754951e-05	1.47829582377476e-05
99	0.999981016610445	3.79667791106183e-05	1.89833895553091e-05
100	0.999973502929876	5.29941402479487e-05	2.64970701239743e-05
101	0.999961865941805	7.62681163898243e-05	3.81340581949122e-05
102	0.999944500487265	0.000110999025470094	5.54995127350472e-05
103	0.999968324768449	6.33504631018179e-05	3.1675231550909e-05
104	0.999958187279828	8.36254403449192e-05	4.18127201724596e-05
105	0.999939870785764	0.000120258428472568	6.01292142362839e-05
106	0.999923609212731	0.000152781574538382	7.6390787269191e-05
107	0.999964302660696	7.13946786070974e-05	3.56973393035487e-05
108	0.99994834048758	0.000103319024840405	5.16595124202025e-05
109	0.999930783273361	0.000138433453277692	6.92167266388459e-05
110	0.999926208879413	0.00014758224117419	7.37911205870951e-05
111	0.99992518682298	0.000149626354040166	7.48131770200829e-05
112	0.999899959324254	0.000200081351491836	0.000100040675745918
113	0.999869238738077	0.000261522523845704	0.000130761261922852
114	0.999816441082785	0.000367117834429228	0.000183558917214614
115	0.999785190500153	0.000429618999693245	0.000214809499846622
116	0.999718981919678	0.000562036160643624	0.000281018080321812
117	0.999611102981145	0.000777794037710222	0.000388897018855111
118	0.999774127946668	0.000451744106663325	0.000225872053331662
119	0.999974863431319	5.02731373618731e-05	2.51365686809365e-05
120	0.999968449136864	6.31017262713647e-05	3.15508631356824e-05
121	0.999954245068207	9.15098635861638e-05	4.57549317930819e-05
122	0.999973418825042	5.31623499159207e-05	2.65811749579604e-05
123	0.999975990828705	4.801834259037e-05	2.4009171295185e-05
124	0.999986964143377	2.60717132464074e-05	1.30358566232037e-05
125	0.999987155287779	2.56894244420237e-05	1.28447122210118e-05
126	0.999982037559586	3.59248808271554e-05	1.79624404135777e-05
127	0.999974652985495	5.06940290099898e-05	2.53470145049949e-05
128	0.999963454885072	7.30902298566478e-05	3.65451149283239e-05
129	0.999989978206406	2.00435871877141e-05	1.00217935938571e-05
130	0.999985291748516	2.94165029682369e-05	1.47082514841185e-05
131	0.999978481789135	4.3036421730522e-05	2.1518210865261e-05
132	0.999974066708372	5.18665832561475e-05	2.59332916280738e-05
133	0.999965625823474	6.87483530515278e-05	3.43741765257639e-05
134	0.999983564259086	3.28714818278857e-05	1.64357409139429e-05
135	0.999979078669312	4.1842661376136e-05	2.0921330688068e-05
136	0.999972453783085	5.50924338303467e-05	2.75462169151734e-05
137	0.999960559644098	7.88807118045427e-05	3.94403559022713e-05
138	0.999948904357532	0.000102191284935048	5.10956424675238e-05
139	0.99994443187329	0.000111136253419928	5.55681267099641e-05
140	0.999923790675084	0.000152418649832789	7.62093249163944e-05
141	0.999922107634087	0.000155784731825366	7.78923659126832e-05
142	0.999901220246557	0.000197559506886488	9.87797534432438e-05
143	0.999891292467727	0.000217415064545905	0.000108707532272953
144	0.999942056838679	0.00011588632264115	5.7943161320575e-05
145	0.999959469715361	8.10605692772124e-05	4.05302846386062e-05
146	0.999949791361263	0.00010041727747467	5.02086387373351e-05
147	0.999966144410553	6.77111788932115e-05	3.38555894466057e-05
148	0.999963929445576	7.21411088474264e-05	3.60705544237132e-05
149	0.999959416473056	8.11670538875369e-05	4.05835269437685e-05
150	0.999942599820995	0.000114800358009277	5.74001790046385e-05
151	0.999951680029514	9.66399409716794e-05	4.83199704858397e-05
152	0.999936455765884	0.000127088468231457	6.35442341157284e-05
153	0.99992417524356	0.000151649512879873	7.58247564399366e-05
154	0.999891825865954	0.000216348268092024	0.000108174134046012
155	0.999931179696509	0.000137640606982733	6.88203034913665e-05
156	0.999915417212048	0.000169165575904559	8.45827879522794e-05
157	0.999879899364568	0.000240201270864564	0.000120100635432282
158	0.999881011550466	0.000237976899067422	0.000118988449533711
159	0.999918378178315	0.000163243643369894	8.16218216849468e-05
160	0.999893200189314	0.000213599621372195	0.000106799810686097
161	0.999854237647972	0.000291524704055655	0.000145762352027827
162	0.99983050673039	0.00033898653922016	0.00016949326961008
163	0.999833533890527	0.000332932218945754	0.000166466109472877
164	0.999848959788896	0.000302080422208586	0.000151040211104293
165	0.999848334985063	0.000303330029873062	0.000151665014936531
166	0.999842319954775	0.000315360090449618	0.000157680045224809
167	0.99979623227214	0.000407535455719745	0.000203767727859872
168	0.999784516875945	0.000430966248109307	0.000215483124054653
169	0.999736699022397	0.000526601955206368	0.000263300977603184
170	0.999990607373442	1.87852531165642e-05	9.39262655828211e-06
171	0.99998773380459	2.4532390819201e-05	1.22661954096005e-05
172	0.999986157943138	2.76841137233824e-05	1.38420568616912e-05
173	0.999995334773924	9.33045215287832e-06	4.66522607643916e-06
174	0.99999908157328	1.83685343905224e-06	9.18426719526119e-07
175	0.999999286211823	1.42757635492767e-06	7.13788177463833e-07
176	0.999998915442918	2.16911416427443e-06	1.08455708213721e-06
177	0.999998862790993	2.27441801470911e-06	1.13720900735455e-06
178	0.999998528021308	2.94395738368919e-06	1.47197869184459e-06
179	0.999997817177582	4.36564483522829e-06	2.18282241761414e-06
180	0.999998184587994	3.63082401219288e-06	1.81541200609644e-06
181	0.999997446262942	5.1074741157457e-06	2.55373705787285e-06
182	0.999998811180605	2.37763879098943e-06	1.18881939549471e-06
183	0.999998193169943	3.61366011466e-06	1.80683005733e-06
184	0.999997773277135	4.45344573072049e-06	2.22672286536025e-06
185	0.999997037900246	5.92419950776488e-06	2.96209975388244e-06
186	0.999996030264321	7.93947135871257e-06	3.96973567935628e-06
187	0.999995814835098	8.37032980354289e-06	4.18516490177144e-06
188	0.999993929418	1.21411639993455e-05	6.07058199967274e-06
189	0.999990603164219	1.87936715619814e-05	9.39683578099072e-06
190	0.999990511812955	1.89763740905366e-05	9.4881870452683e-06
191	0.999999705571267	5.88857465832931e-07	2.94428732916465e-07
192	0.999999533123136	9.33753728671271e-07	4.66876864335635e-07
193	0.999999283331428	1.43333714498687e-06	7.16668572493435e-07
194	0.999999079023196	1.84195360796566e-06	9.20976803982832e-07
195	0.999998600696473	2.7986070537632e-06	1.3993035268816e-06
196	0.999998644937919	2.71012416124836e-06	1.35506208062418e-06
197	0.999998366040496	3.26791900804888e-06	1.63395950402444e-06
198	0.999997467278823	5.06544235406289e-06	2.53272117703145e-06
199	0.999997646424672	4.70715065519956e-06	2.35357532759978e-06
200	0.999996573188501	6.85362299899044e-06	3.42681149949522e-06
201	0.999995126186288	9.74762742374264e-06	4.87381371187132e-06
202	0.999992281369321	1.54372613584368e-05	7.71863067921839e-06
203	0.999991292991238	1.74140175240813e-05	8.70700876204067e-06
204	0.999986062935595	2.78741288099404e-05	1.39370644049702e-05
205	0.999980571104036	3.88577919278851e-05	1.94288959639426e-05
206	0.999970116402553	5.97671948936446e-05	2.98835974468223e-05
207	0.999953971394035	9.20572119304116e-05	4.60286059652058e-05
208	0.999988261308529	2.34773829418902e-05	1.17386914709451e-05
209	0.999992984993281	1.40300134372853e-05	7.01500671864263e-06
210	0.999988495335201	2.30093295989099e-05	1.15046647994549e-05
211	0.999982855045416	3.42899091680295e-05	1.71449545840147e-05
212	0.999994373530137	1.12529397261179e-05	5.62646986305897e-06
213	0.999990778351898	1.84432962050253e-05	9.22164810251263e-06
214	0.999985224088702	2.95518225961757e-05	1.47759112980878e-05
215	0.999977175584107	4.56488317849798e-05	2.28244158924899e-05
216	0.999967579506559	6.48409868824481e-05	3.2420493441224e-05
217	0.999986600485647	2.67990287062609e-05	1.33995143531304e-05
218	0.999977913804175	4.41723916507775e-05	2.20861958253888e-05
219	0.999965370730436	6.92585391281936e-05	3.46292695640968e-05
220	0.999949501190634	0.000100997618732978	5.04988093664889e-05
221	0.999937074112542	0.000125851774915332	6.29258874576658e-05
222	0.999982263036385	3.54739272292433e-05	1.77369636146217e-05
223	0.999985285009809	2.94299803820428e-05	1.47149901910214e-05
224	0.99997498629526	5.00274094795329e-05	2.50137047397665e-05
225	0.99995749760102	8.50047979589268e-05	4.25023989794634e-05
226	0.999939270632814	0.000121458734371659	6.07293671858297e-05
227	0.999914725868447	0.000170548263105755	8.52741315528777e-05
228	0.999900283812289	0.000199432375422164	9.97161877110818e-05
229	0.999834842712032	0.000330314575935103	0.000165157287967552
230	0.999907289214183	0.000185421571634523	9.27107858172614e-05
231	0.999912743621486	0.000174512757029062	8.72563785145309e-05
232	0.999852537667182	0.000294924665636496	0.000147462332818248
233	0.999999316731638	1.36653672445952e-06	6.8326836222976e-07
234	0.999998695341992	2.60931601661113e-06	1.30465800830556e-06
235	0.999997445053437	5.10989312566101e-06	2.5549465628305e-06
236	0.999995079717623	9.84056475367191e-06	4.92028237683595e-06
237	0.999999976552971	4.68940588506331e-08	2.34470294253165e-08
238	0.999999945337266	1.09325468590772e-07	5.46627342953858e-08
239	0.999999878495962	2.43008075331584e-07	1.21504037665792e-07
240	0.999999771302971	4.57394057266265e-07	2.28697028633133e-07
241	0.99999949894033	1.00211934052914e-06	5.01059670264568e-07
242	0.999999079794894	1.84041021254609e-06	9.20205106273046e-07
243	0.999998224543511	3.55091297834381e-06	1.7754564891719e-06
244	0.999996205113489	7.58977302266659e-06	3.7948865113333e-06
245	0.999994356100735	1.12877985306109e-05	5.64389926530543e-06
246	0.99998929066844	2.14186631198965e-05	1.07093315599482e-05
247	0.999992005245483	1.59895090335893e-05	7.99475451679467e-06
248	0.999984828485127	3.03430297449757e-05	1.51715148724878e-05
249	0.99997362511078	5.27497784403981e-05	2.63748892201991e-05
250	0.999964380572225	7.12388555508201e-05	3.561942777541e-05
251	0.999943068867137	0.000113862265725264	5.69311328626322e-05
252	0.999903651094946	0.000192697810107539	9.63489050537697e-05
253	0.999792328751655	0.000415342496689943	0.000207671248344972
254	0.999574135173808	0.000851729652383487	0.000425864826191743
255	0.99960173808828	0.000796523823439465	0.000398261911719732
256	0.999159650148154	0.001680699703692	0.000840349851845998
257	0.998848573925589	0.00230285214882139	0.0011514260744107
258	0.99920401940843	0.00159196118313939	0.000795980591569695
259	0.998339120633191	0.00332175873361843	0.00166087936680921
260	0.997098289612785	0.00580342077442981	0.0029017103872149
261	0.994853409370744	0.0102931812585116	0.00514659062925578
262	0.989557868903066	0.0208842621938683	0.0104421310969341
263	0.985541067689334	0.0289178646213321	0.014458932310666
264	0.986050910303928	0.0278981793921431	0.0139490896960715
265	0.97862338690823	0.0427532261835397	0.0213766130917699
266	0.958666493083584	0.0826670138328316	0.0413335069164158
267	0.925142781021516	0.149714437956967	0.0748572189784837
268	0.881559058717994	0.236881882564012	0.118440941282006
269	0.998299845257793	0.0034003094844145	0.00170015474220725
270	0.997391525635932	0.00521694872813512	0.00260847436406756

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	203	0.805555555555556	NOK
5% type I error level	219	0.869047619047619	NOK
10% type I error level	229	0.908730158730159	NOK

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
Description & # significant tests & % significant tests & OK/NOK \tabularnewline
1% type I error level & 203 & 0.805555555555556 & NOK \tabularnewline
5% type I error level & 219 & 0.869047619047619 & NOK \tabularnewline
10% type I error level & 229 & 0.908730158730159 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=191164&T=6

[TABLE]
[ROW][C]Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]Description[/C][C]# significant tests[/C][C]% significant tests[/C][C]OK/NOK[/C][/ROW]
[ROW][C]1% type I error level[/C][C]203[/C][C]0.805555555555556[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]219[/C][C]0.869047619047619[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]229[/C][C]0.908730158730159[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=191164&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=191164&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 tests	OK/NOK
1% type I error level	203	0.805555555555556	NOK
5% type I error level	219	0.869047619047619	NOK
10% type I error level	229	0.908730158730159	NOK

Figure 1

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Figure 6

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Figure 7

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Figure 8

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Figure 9

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Figure 10

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Parameters (Session):

par1 = 3 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;

Parameters (R input):

par1 = 3 ; 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')
}

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code