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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

Mon, 19 Nov 2012 05:03:42 -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/19/t1353319664p6fbjk5u170v53k.htm/, Retrieved Thu, 02 May 2024 06:32:01 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=190422, Retrieved Thu, 02 May 2024 06:32:01 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

113

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] [91c3d91830a25c0bc67fd9a0665302b1] [Current]
- R PD    [Multiple Regression] [months] [2012-11-20 16:11:33] [74be16979710d4c4e7c6647856088456] 
-   P       [Multiple Regression] [months] [2012-11-20 16:35:26] [57fcaae991493f873bcb4ee93ca06ef0] 
- RMPD      [Bivariate Kernel Density Estimation] [Biavriate kernel ...] [2012-11-20 16:53:51] [57fcaae991493f873bcb4ee93ca06ef0] 
- RMPD      [Pearson Correlation] [Pearson correlation] [2012-11-20 17:05:59] [57fcaae991493f873bcb4ee93ca06ef0] 

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Dataseries X:

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Histogram

Boxplots

1418	210907	56	396	81	3	79	30	115	94	112285	24188	146283	144	145
869	120982	56	297	55	4	58	28	109	103	84786	18273	98364	103	101
1530	176508	54	559	50	12	60	38	146	93	83123	14130	86146	98	98
2172	179321	89	967	125	2	108	30	116	103	101193	32287	96933	135	132
901	123185	40	270	40	1	49	22	68	51	38361	8654	79234	61	60
463	52746	25	143	37	3	0	26	101	70	68504	9245	42551	39	38
3201	385534	92	1562	63	0	121	25	96	91	119182	33251	195663	150	144
371	33170	18	109	44	0	1	18	67	22	22807	1271	6853	5	5
1192	101645	63	371	88	0	20	11	44	38	17140	5279	21529	28	28
1583	149061	44	656	66	5	43	26	100	93	116174	27101	95757	84	84
1439	165446	33	511	57	0	69	25	93	60	57635	16373	85584	80	79
1764	237213	84	655	74	0	78	38	140	123	66198	19716	143983	130	127
1495	173326	88	465	49	7	86	44	166	148	71701	17753	75851	82	78
1373	133131	55	525	52	7	44	30	99	90	57793	9028	59238	60	60
2187	258873	60	885	88	3	104	40	139	124	80444	18653	93163	131	131
1491	180083	66	497	36	9	63	34	130	70	53855	8828	96037	84	84
4041	324799	154	1436	108	0	158	47	181	168	97668	29498	151511	140	133
1706	230964	53	612	43	4	102	30	116	115	133824	27563	136368	151	150
2152	236785	119	865	75	3	77	31	116	71	101481	18293	112642	91	91
1036	135473	41	385	32	0	82	23	88	66	99645	22530	94728	138	132
1882	202925	61	567	44	7	115	36	139	134	114789	15977	105499	150	136
1929	215147	58	639	85	0	101	36	135	117	99052	35082	121527	124	124
2242	344297	75	963	86	1	80	30	108	108	67654	16116	127766	119	118
1220	153935	33	398	56	5	50	25	89	84	65553	15849	98958	73	70
1289	132943	40	410	50	7	83	39	156	156	97500	16026	77900	110	107
2515	174724	92	966	135	0	123	34	129	120	69112	26569	85646	123	119
2147	174415	100	801	63	0	73	31	118	114	82753	24785	98579	90	89
2352	225548	112	892	81	5	81	31	118	94	85323	17569	130767	116	112
1638	223632	73	513	52	0	105	33	125	120	72654	23825	131741	113	108
1222	124817	40	469	44	0	47	25	95	81	30727	7869	53907	56	52
1812	221698	45	683	113	0	105	33	126	110	77873	14975	178812	115	112
1677	210767	60	643	39	3	94	35	135	133	117478	37791	146761	119	116
1579	170266	62	535	73	4	44	42	154	122	74007	9605	82036	129	123
1731	260561	75	625	48	1	114	43	165	158	90183	27295	163253	127	125
807	84853	31	264	33	4	38	30	113	109	61542	2746	27032	27	27
2452	294424	77	992	59	2	107	33	127	124	101494	34461	171975	175	162
829	101011	34	238	41	0	30	13	52	39	27570	8098	65990	35	32
1940	215641	46	818	69	0	71	32	121	92	55813	4787	86572	64	64
2662	325107	99	937	64	0	84	36	136	126	79215	24919	159676	96	92
186	7176	17	70	1	0	0	0	0	0	1423	603	1929	0	0
1499	167542	66	507	59	2	59	28	108	70	55461	16329	85371	84	83
865	106408	30	260	32	1	33	14	46	37	31081	12558	58391	41	41
1793	96560	76	503	129	0	42	17	54	38	22996	7784	31580	47	47
2527	265769	146	927	37	2	96	32	124	120	83122	28522	136815	126	120
2747	269651	67	1269	31	10	106	30	115	93	70106	22265	120642	105	105
1324	149112	56	537	65	6	56	35	128	95	60578	14459	69107	80	79
2702	175824	107	910	107	0	57	20	80	77	39992	14526	50495	70	65
1383	152871	58	532	74	5	59	28	97	90	79892	22240	108016	73	70
1179	111665	34	345	54	4	39	28	104	80	49810	11802	46341	57	55
2099	116408	61	918	76	1	34	39	59	31	71570	7623	78348	40	39
4308	362301	119	1635	715	2	76	34	125	110	100708	11912	79336	68	67
918	78800	42	330	57	2	20	26	82	66	33032	7935	56968	21	21
1831	183167	66	557	66	0	91	39	149	138	82875	18220	93176	127	127
3373	277965	89	1178	106	8	115	39	149	133	139077	19199	161632	154	152
1713	150629	44	740	54	3	85	33	122	113	71595	19918	87850	116	113
1438	168809	66	452	32	0	76	28	118	100	72260	21884	127969	102	99
496	24188	24	218	20	0	8	4	12	7	5950	2694	15049	7	7
2253	329267	259	764	71	8	79	39	144	140	115762	15808	155135	148	141
744	65029	17	255	21	5	21	18	67	61	32551	3597	25109	21	21
1161	101097	64	454	70	3	30	14	52	41	31701	5296	45824	35	35
2352	218946	41	866	112	1	76	29	108	96	80670	25239	102996	112	109
2144	244052	68	574	66	5	101	44	166	164	143558	29801	160604	137	133
4691	341570	168	1276	190	1	94	21	80	78	117105	18450	158051	135	123
1112	103597	43	379	66	1	27	16	60	49	23789	7132	44547	26	26
2694	233328	132	825	165	5	92	28	107	102	120733	34861	162647	230	230
1973	256462	105	798	56	0	123	35	127	124	105195	35940	174141	181	166
1769	206161	71	663	61	12	75	28	107	99	73107	16688	60622	71	68
3148	311473	112	1069	53	8	128	38	146	129	132068	24683	179566	147	147
2474	235800	94	921	127	8	105	23	84	62	149193	46230	184301	190	179
2084	177939	82	858	63	8	55	36	141	73	46821	10387	75661	64	61
1954	207176	70	711	38	8	56	32	123	114	87011	21436	96144	105	101
1226	196553	57	503	50	2	41	29	111	99	95260	30546	129847	107	108
1389	174184	53	382	52	0	72	25	98	70	55183	19746	117286	94	90
1496	143246	103	464	42	5	67	27	105	104	106671	15977	71180	116	114
2269	187559	121	717	76	8	75	36	135	116	73511	22583	109377	106	103
1833	187681	62	690	67	2	114	28	107	91	92945	17274	85298	143	142
1268	119016	52	462	50	5	118	23	85	74	78664	16469	73631	81	79
1943	182192	52	657	53	12	77	40	155	138	70054	14251	86767	89	88
893	73566	32	385	39	6	22	23	88	67	22618	3007	23824	26	25
1762	194979	62	577	50	7	66	40	155	151	74011	16851	93487	84	83
1403	167488	45	619	77	2	69	28	104	72	83737	21113	82981	113	113
1425	143756	46	479	57	0	105	34	132	120	69094	17401	73815	120	118
1857	275541	63	817	73	4	116	33	127	115	93133	23958	94552	110	110
1840	243199	75	752	34	3	88	28	108	105	95536	23567	132190	134	129
1502	182999	88	430	39	6	73	34	129	104	225920	13065	128754	54	51
1441	135649	46	451	46	2	99	30	116	108	62133	15358	66363	96	93
1420	152299	53	537	63	0	62	33	122	98	61370	14587	67808	78	76
1416	120221	37	519	35	1	53	22	85	69	43836	12770	61724	51	49
2970	346485	90	1000	106	0	118	38	147	111	106117	24021	131722	121	118
1317	145790	63	637	43	5	30	26	99	99	38692	9648	68580	38	38
1644	193339	78	465	47	2	100	35	87	71	84651	20537	106175	145	141
870	80953	25	437	31	0	49	8	28	27	56622	7905	55792	59	58
1654	122774	45	711	162	0	24	24	90	69	15986	4527	25157	27	27
1054	130585	46	299	57	5	67	29	109	107	95364	30495	76669	91	91
937	112611	41	248	36	0	46	20	78	73	26706	7117	57283	48	48
3004	286468	144	1162	263	1	57	29	111	107	89691	17719	105805	68	63
2008	241066	82	714	78	0	75	45	158	93	67267	27056	129484	58	56
2547	148446	91	905	63	1	135	37	141	129	126846	33473	72413	150	144
1885	204713	71	649	54	1	68	33	122	69	41140	9758	87831	74	73
1626	182079	63	512	63	2	124	33	124	118	102860	21115	96971	181	168
1468	140344	53	472	77	6	33	25	93	73	51715	7236	71299	65	64
2445	220516	62	905	79	1	98	32	124	119	55801	13790	77494	97	97
1964	243060	63	786	110	4	58	29	112	104	111813	32902	120336	121	117
1381	162765	32	489	56	2	68	28	108	107	120293	25131	93913	99	100
1369	182613	39	479	56	3	81	28	99	99	138599	30910	136048	152	149
1659	232138	62	617	43	0	131	31	117	90	161647	35947	181248	188	187
2888	265318	117	925	111	10	110	52	199	197	115929	29848	146123	138	127
1290	85574	34	351	71	0	37	21	78	36	24266	6943	32036	40	37
2845	310839	92	1144	62	9	130	24	91	85	162901	42705	186646	254	245
1982	225060	93	669	56	7	93	41	158	139	109825	31808	102255	87	87
1904	232317	54	707	74	0	118	33	126	106	129838	26675	168237	178	177
1391	144966	144	458	60	0	39	32	122	50	37510	8435	64219	51	49
602	43287	14	214	43	4	13	19	71	64	43750	7409	19630	49	49
1743	155754	61	599	68	4	74	20	75	31	40652	14993	76825	73	73
1559	164709	109	572	53	0	81	31	115	63	87771	36867	115338	176	177
2014	201940	38	897	87	0	109	31	119	92	85872	33835	109427	94	94
2143	235454	73	819	46	0	151	32	124	106	89275	24164	118168	120	117
2146	220801	75	720	105	1	51	18	72	63	44418	12607	84845	66	60
874	99466	50	273	32	0	28	23	91	69	192565	22609	153197	56	55
1590	92661	61	508	133	1	40	17	45	41	35232	5892	29877	39	39
1590	133328	55	506	79	0	56	20	78	56	40909	17014	63506	66	64
1210	61361	77	451	51	0	27	12	39	25	13294	5394	22445	27	26
2072	125930	75	699	207	4	37	17	68	65	32387	9178	47695	65	64
1281	100750	72	407	67	0	83	30	119	93	140867	6440	68370	58	58
1401	224549	50	465	47	4	54	31	117	114	120662	21916	146304	98	95
834	82316	32	245	34	4	27	10	39	38	21233	4011	38233	25	25
1105	102010	53	370	66	3	28	13	50	44	44332	5818	42071	26	26
1272	101523	42	316	76	0	59	22	88	87	61056	18647	50517	77	76
1944	243511	71	603	65	0	133	42	155	110	101338	20556	103950	130	129
391	22938	10	154	9	0	12	1	0	0	1168	238	5841	11	11
761	41566	35	229	42	5	0	9	36	27	13497	70	2341	2	2
1605	152474	65	577	45	0	106	32	123	83	65567	22392	84396	101	101
530	61857	25	192	25	4	23	11	32	30	25162	3913	24610	31	28
1988	99923	66	617	115	0	44	25	99	80	32334	12237	35753	36	36
1386	132487	41	411	97	0	71	36	136	98	40735	8388	55515	120	89
2395	317394	86	975	53	1	116	31	117	82	91413	22120	209056	195	193
387	21054	16	146	2	0	4	0	0	0	855	338	6622	4	4
1742	209641	42	705	52	5	62	24	88	60	97068	11727	115814	89	84
620	22648	19	184	44	0	12	13	39	28	44339	3704	11609	24	23
449	31414	19	200	22	0	18	8	25	9	14116	3988	13155	39	39
800	46698	45	274	35	0	14	13	52	33	10288	3030	18274	14	14
1684	131698	65	502	74	0	60	19	75	59	65622	13520	72875	78	78
1050	91735	35	382	103	0	7	18	71	49	16563	1421	10112	15	14
2699	244749	95	964	144	2	98	33	124	115	76643	20923	142775	106	101
1606	184510	49	537	60	7	64	40	151	140	110681	20237	68847	83	82
1502	79863	37	438	134	1	29	22	71	49	29011	3219	17659	24	24
1204	128423	64	369	89	8	32	38	145	120	92696	3769	20112	37	36
1138	97839	38	417	42	2	25	24	87	66	94785	12252	61023	77	75
568	38214	34	276	52	0	16	8	27	21	8773	1888	13983	16	16
1459	151101	32	514	98	2	48	35	131	124	83209	14497	65176	56	55
2158	272458	65	822	99	0	100	43	162	152	93815	28864	132432	132	131
1111	172494	52	389	52	0	46	43	165	139	86687	21721	112494	144	131
1421	108043	62	466	29	1	45	14	54	38	34553	4821	45109	40	39
2833	328107	65	1255	125	3	129	41	159	144	105547	33644	170875	153	144
1955	250579	83	694	106	0	130	38	147	120	103487	15923	180759	143	139
2922	351067	95	1024	95	3	136	45	170	160	213688	42935	214921	220	211
1002	158015	29	400	40	0	59	31	119	114	71220	18864	100226	79	78
1060	98866	18	397	140	0	25	13	49	39	23517	4977	32043	50	50
956	85439	33	350	43	0	32	28	104	78	56926	7785	54454	39	39
2186	229242	247	719	128	4	63	31	120	119	91721	17939	78876	95	90
3604	351619	139	1277	142	4	95	40	150	141	115168	23436	170745	169	166
1035	84207	29	356	73	11	14	30	112	101	111194	325	6940	12	12
1417	120445	118	457	72	0	36	16	59	56	51009	13539	49025	63	57
3261	324598	110	1402	128	0	113	37	136	133	135777	34538	122037	134	133
1587	131069	67	600	61	4	47	30	107	83	51513	12198	53782	69	69
1424	204271	42	480	73	0	92	35	130	116	74163	26924	127748	119	119
1701	165543	65	595	148	1	70	32	115	90	51633	12716	86839	119	119
1249	141722	94	436	64	0	19	27	107	36	75345	8172	44830	75	65
946	116048	64	230	45	0	50	20	75	50	33416	10855	77395	63	61
1926	250047	81	651	58	0	41	18	71	61	83305	11932	89324	55	49
3352	299775	95	1367	97	9	91	31	120	97	98952	14300	103300	103	101
1641	195838	67	564	50	1	111	31	116	98	102372	25515	112283	197	196
2035	173260	63	716	37	3	41	21	79	78	37238	2805	10901	16	15
2312	254488	83	747	50	10	120	39	150	117	103772	29402	120691	140	136
1369	104389	45	467	105	5	135	41	156	148	123969	16440	58106	89	89
1577	136084	30	671	69	0	27	13	51	41	27142	11221	57140	40	40
2201	199476	70	861	46	2	87	32	118	105	135400	28732	122422	125	123
961	92499	32	319	57	0	25	18	71	55	21399	5250	25899	21	21
1900	224330	83	612	52	1	131	39	144	132	130115	28608	139296	167	163
1254	135781	31	433	98	2	45	14	47	44	24874	8092	52678	32	29
1335	74408	67	434	61	4	29	7	28	21	34988	4473	23853	36	35
1597	81240	66	503	89	0	58	17	68	50	45549	1572	17306	13	13
207	14688	10	85	0	0	4	0	0	0	6023	2065	7953	5	5
1645	181633	70	564	48	2	47	30	110	73	64466	14817	89455	96	96
2429	271856	103	824	91	1	109	37	147	86	54990	16714	147866	151	151
151	7199	5	74	0	0	7	0	0	0	1644	556	4245	6	6
474	46660	20	259	7	0	12	5	15	13	6179	2089	21509	13	13
141	17547	5	69	3	0	0	1	4	4	3926	2658	7670	3	3
1639	133368	36	535	54	1	37	16	64	57	32755	10695	66675	57	56
872	95227	34	239	70	0	37	32	111	48	34777	1669	14336	23	23
1318	152601	48	438	36	2	46	24	85	46	73224	16267	53608	61	57
1018	98146	40	459	37	0	15	17	68	48	27114	7768	30059	21	14
1383	79619	43	426	123	3	42	11	40	32	20760	7252	29668	43	43
1314	59194	31	288	247	6	7	24	80	68	37636	6387	22097	20	20
1335	139942	42	498	46	0	54	22	88	87	65461	18715	96841	82	72
1403	118612	46	454	72	2	54	12	48	43	30080	7936	41907	90	87
910	72880	33	376	41	0	14	19	76	67	24094	8643	27080	25	21
616	65475	18	225	24	2	16	13	51	46	69008	7294	35885	60	56
1407	99643	55	555	45	1	33	17	67	46	54968	4570	41247	61	59
771	71965	35	252	33	1	32	15	59	56	46090	7185	28313	85	82
766	77272	59	208	27	2	21	16	61	48	27507	10058	36845	43	43
473	49289	19	130	36	1	15	24	76	44	10672	2342	16548	25	25
1376	135131	66	481	87	0	38	15	60	60	34029	8509	36134	41	38
1232	108446	60	389	90	1	22	17	68	65	46300	13275	55764	26	25
1521	89746	36	565	114	3	28	18	71	55	24760	6816	28910	38	38
572	44296	25	173	31	0	10	20	76	38	18779	1930	13339	12	12
1059	77648	47	278	45	0	31	16	62	52	21280	8086	25319	29	29
1544	181528	54	609	69	0	32	16	61	60	40662	10737	66956	49	47
1230	134019	53	422	51	0	32	18	67	54	28987	8033	47487	46	45
1206	124064	40	445	34	1	43	22	88	86	22827	7058	52785	41	40
1205	92630	40	387	60	4	27	8	30	24	18513	6782	44683	31	30
1255	121848	39	339	45	0	37	17	64	52	30594	5401	35619	41	41
613	52915	14	181	54	0	20	18	68	49	24006	6521	21920	26	25
721	81872	45	245	25	0	32	16	64	61	27913	10856	45608	23	23
1109	58981	36	384	38	7	0	23	91	61	42744	2154	7721	14	14
740	53515	28	212	52	2	5	22	88	81	12934	6117	20634	16	16
1126	60812	44	399	67	0	26	13	52	43	22574	5238	29788	25	26
728	56375	30	229	74	7	10	13	49	40	41385	4820	31931	21	21
689	65490	22	224	38	3	27	16	62	40	18653	5615	37754	32	27
592	80949	17	203	30	0	11	16	61	56	18472	4272	32505	9	9
995	76302	31	333	26	0	29	20	76	68	30976	8702	40557	35	33
1613	104011	55	384	67	6	25	22	88	79	63339	15340	94238	42	42
2048	98104	54	636	132	2	55	17	66	47	25568	8030	44197	68	68
705	67989	21	185	42	0	23	18	71	57	33747	9526	43228	32	32
301	30989	14	93	35	0	5	17	68	41	4154	1278	4103	6	6
1803	135458	81	581	118	3	43	12	48	29	19474	4236	44144	68	67
799	73504	35	248	68	0	23	7	25	3	35130	3023	32868	33	33
861	63123	43	304	43	1	34	17	68	60	39067	7196	27640	84	77
1186	61254	46	344	76	1	36	14	41	30	13310	3394	14063	46	46
1451	74914	30	407	64	0	35	23	90	79	65892	6371	28990	30	30
628	31774	23	170	48	1	0	17	66	47	4143	1574	4694	0	0
1161	81437	38	312	64	0	37	14	54	40	28579	9620	42648	36	36
1463	87186	54	507	56	0	28	15	59	48	51776	6978	64329	47	46
742	50090	20	224	71	0	16	17	60	36	21152	4911	21928	20	18
979	65745	53	340	75	0	26	21	77	42	38084	8645	25836	50	48
675	56653	45	168	39	0	38	18	68	49	27717	8987	22779	30	29
1241	158399	39	443	42	0	23	18	72	57	32928	5544	40820	30	28
676	46455	20	204	39	0	22	17	67	12	11342	3083	27530	34	34
1049	73624	24	367	93	0	30	17	64	40	19499	6909	32378	33	33
620	38395	31	210	38	0	16	16	63	43	16380	3189	10824	34	34
1081	91899	35	335	60	0	18	15	59	33	36874	6745	39613	37	33
1688	139526	151	364	71	0	28	21	84	77	48259	16724	60865	83	80
736	52164	52	178	52	0	32	16	64	43	16734	4850	19787	32	32
617	51567	30	206	27	2	21	14	56	45	28207	7025	20107	30	30
812	70551	31	279	59	0	23	15	54	47	30143	6047	36605	43	41
1051	84856	29	387	40	1	29	17	67	43	41369	7377	40961	41	41
1656	102538	57	490	79	1	50	15	58	45	45833	9078	48231	51	51
705	86678	40	238	44	0	12	15	59	50	29156	4605	39725	19	18
945	85709	44	343	65	0	21	10	40	35	35944	3238	21455	37	34
554	34662	25	232	10	0	18	6	22	7	36278	8100	23430	33	31
1597	150580	77	530	124	0	27	22	83	71	45588	9653	62991	41	39
982	99611	35	291	81	0	41	21	81	67	45097	8914	49363	54	54
222	19349	11	67	15	0	13	1	2	0	3895	786	9604	14	14
1212	99373	63	397	92	1	12	18	72	62	28394	6700	24552	25	24
1143	86230	44	467	42	0	21	17	61	54	18632	5788	31493	25	24
435	30837	19	178	10	0	8	4	15	4	2325	593	3439	8	8
532	31706	13	175	24	0	26	10	32	25	25139	4506	19555	26	26
882	89806	42	299	64	0	27	16	62	40	27975	6382	21228	20	19
608	62088	38	154	45	1	13	16	58	38	14483	5621	23177	11	11
459	40151	29	106	22	0	16	9	36	19	13127	3997	22094	14	14
578	27634	20	189	56	0	2	16	59	17	5839	520	2342	3	1
826	76990	27	194	94	0	42	17	68	67	24069	8891	38798	40	39
509	37460	20	135	19	0	5	7	21	14	3738	999	3255	5	5
717	54157	19	201	35	0	37	15	55	30	18625	7067	24261	38	37
637	49862	37	207	32	0	17	14	54	54	36341	4639	18511	32	32
857	84337	26	280	35	0	38	14	55	35	24548	5654	40798	41	38
830	64175	42	260	48	0	37	18	72	59	21792	6928	28893	46	47
652	59382	49	227	49	0	29	12	41	24	26263	1514	21425	47	47
707	119308	30	239	48	0	32	16	61	58	23686	9238	50276	37	37
954	76702	49	333	62	0	35	21	67	42	49303	8204	37643	51	51
1461	103425	67	428	96	1	17	19	76	46	25659	5926	30377	49	45
672	70344	28	230	45	0	20	16	64	61	28904	5785	27126	21	21
778	43410	19	292	63	0	7	1	3	3	2781	4	13	1	1
1141	104838	49	350	71	1	46	16	63	52	29236	5930	42097	44	42
680	62215	27	186	26	0	24	10	40	25	19546	3710	24451	26	26
1090	69304	30	326	48	6	40	19	69	40	22818	705	14335	21	21
616	53117	22	155	29	3	3	12	48	32	32689	443	5084	4	4
285	19764	12	75	19	1	10	2	8	4	5752	2416	9927	10	10
1145	86680	31	361	45	2	37	14	52	49	22197	7747	43527	43	43
733	84105	20	261	45	0	17	17	66	63	20055	5432	27184	34	34
888	77945	20	299	67	0	28	19	76	67	25272	4913	21610	32	31
849	89113	39	300	30	0	19	14	43	32	82206	2650	20484	20	19
1182	91005	29	450	36	3	29	11	39	23	32073	2370	20156	34	34
528	40248	16	183	34	1	8	4	14	7	5444	775	6012	6	6
642	64187	27	238	36	0	10	16	61	54	20154	5576	18475	12	11
947	50857	21	165	34	0	15	20	71	37	36944	1352	12645	24	24
819	56613	19	234	37	1	15	12	44	35	8019	3080	11017	16	16
757	62792	35	176	46	0	28	15	60	51	30884	10205	37623	72	72
894	72535	14	329	44	0	17	16	64	39	19540	6095	35873	27	21

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	24 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net
R Framework error message	The field 'Names of X columns' contains a hard return which cannot be interpreted. Please, resubmit your request without hard returns in the 'Names of X columns'.

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 24 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
R Framework error message & The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'. \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=190422&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]24 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=190422&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=190422&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	24 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net
R Framework error message	The field 'Names of X columns' contains a hard return which cannot be interpreted. Please, resubmit your request without hard returns in the 'Names of X columns'.

Multiple Linear Regression - Estimated Regression Equation
time_in_rfc[t] = -9437.56002733074 + 5.03502530147297pageviews[t] + 176.101795936076logins[t] + 113.796244553688compendium_views_info[t] + 16.0209735233785compendium_views_pr[t] -114.977357621479shared_compendiums[t] + 43.1976207121873blogged_computations[t] -815.996864502027compendiums_reviewed[t] + 353.642646866822feedback_messages_p1[t] + 191.042041434406feedback_messages_p120[t] -0.102186144224969totsize[t] -0.804542064184006totrevisions[t] + 0.869155411067696totseconds[t] + 96.0070259284817tothyperlinks[t] -88.3276459152565`totblogs\r`[t] + 17.5341636290996t + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
time_in_rfc[t] =  -9437.56002733074 +  5.03502530147297pageviews[t] +  176.101795936076logins[t] +  113.796244553688compendium_views_info[t] +  16.0209735233785compendium_views_pr[t] -114.977357621479shared_compendiums[t] +  43.1976207121873blogged_computations[t] -815.996864502027compendiums_reviewed[t] +  353.642646866822feedback_messages_p1[t] +  191.042041434406feedback_messages_p120[t] -0.102186144224969totsize[t] -0.804542064184006totrevisions[t] +  0.869155411067696totseconds[t] +  96.0070259284817tothyperlinks[t] -88.3276459152565`totblogs\r`[t] +  17.5341636290996t  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=190422&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]time_in_rfc[t] =  -9437.56002733074 +  5.03502530147297pageviews[t] +  176.101795936076logins[t] +  113.796244553688compendium_views_info[t] +  16.0209735233785compendium_views_pr[t] -114.977357621479shared_compendiums[t] +  43.1976207121873blogged_computations[t] -815.996864502027compendiums_reviewed[t] +  353.642646866822feedback_messages_p1[t] +  191.042041434406feedback_messages_p120[t] -0.102186144224969totsize[t] -0.804542064184006totrevisions[t] +  0.869155411067696totseconds[t] +  96.0070259284817tothyperlinks[t] -88.3276459152565`totblogs\r`[t] +  17.5341636290996t  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=190422&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=190422&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] = -9437.56002733074 + 5.03502530147297pageviews[t] + 176.101795936076logins[t] + 113.796244553688compendium_views_info[t] + 16.0209735233785compendium_views_pr[t] -114.977357621479shared_compendiums[t] + 43.1976207121873blogged_computations[t] -815.996864502027compendiums_reviewed[t] + 353.642646866822feedback_messages_p1[t] + 191.042041434406feedback_messages_p120[t] -0.102186144224969totsize[t] -0.804542064184006totrevisions[t] + 0.869155411067696totseconds[t] + 96.0070259284817tothyperlinks[t] -88.3276459152565`totblogs\r`[t] + 17.5341636290996t + 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)	-9437.56002733074	5725.77202	-1.6483	0.10045	0.050225
pageviews	5.03502530147297	8.182916	0.6153	0.538863	0.269431
logins	176.101795936076	61.063644	2.8839	0.004241	0.00212
compendium_views_info	113.796244553688	17.492198	6.5055	0	0
compendium_views_pr	16.0209735233785	33.145681	0.4834	0.629234	0.314617
shared_compendiums	-114.977357621479	560.898915	-0.205	0.837735	0.418867
blogged_computations	43.1976207121873	91.955547	0.4698	0.638897	0.319448
compendiums_reviewed	-815.996864502027	701.224474	-1.1637	0.245572	0.122786
feedback_messages_p1	353.642646866822	210.73361	1.6782	0.094462	0.047231
feedback_messages_p120	191.042041434406	104.050321	1.8361	0.067437	0.033719
totsize	-0.102186144224969	0.064853	-1.5757	0.116261	0.058131
totrevisions	-0.804542064184006	0.318826	-2.5234	0.012189	0.006095
totseconds	0.869155411067696	0.071966	12.0773	0	0
tothyperlinks	96.0070259284817	436.927426	0.2197	0.826244	0.413122
`totblogs\r`	-88.3276459152565	452.804046	-0.1951	0.845485	0.422742
t	17.5341636290996	19.780793	0.8864	0.376169	0.188085

\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) & -9437.56002733074 & 5725.77202 & -1.6483 & 0.10045 & 0.050225 \tabularnewline
pageviews & 5.03502530147297 & 8.182916 & 0.6153 & 0.538863 & 0.269431 \tabularnewline
logins & 176.101795936076 & 61.063644 & 2.8839 & 0.004241 & 0.00212 \tabularnewline
compendium_views_info & 113.796244553688 & 17.492198 & 6.5055 & 0 & 0 \tabularnewline
compendium_views_pr & 16.0209735233785 & 33.145681 & 0.4834 & 0.629234 & 0.314617 \tabularnewline
shared_compendiums & -114.977357621479 & 560.898915 & -0.205 & 0.837735 & 0.418867 \tabularnewline
blogged_computations & 43.1976207121873 & 91.955547 & 0.4698 & 0.638897 & 0.319448 \tabularnewline
compendiums_reviewed & -815.996864502027 & 701.224474 & -1.1637 & 0.245572 & 0.122786 \tabularnewline
feedback_messages_p1 & 353.642646866822 & 210.73361 & 1.6782 & 0.094462 & 0.047231 \tabularnewline
feedback_messages_p120 & 191.042041434406 & 104.050321 & 1.8361 & 0.067437 & 0.033719 \tabularnewline
totsize & -0.102186144224969 & 0.064853 & -1.5757 & 0.116261 & 0.058131 \tabularnewline
totrevisions & -0.804542064184006 & 0.318826 & -2.5234 & 0.012189 & 0.006095 \tabularnewline
totseconds & 0.869155411067696 & 0.071966 & 12.0773 & 0 & 0 \tabularnewline
tothyperlinks & 96.0070259284817 & 436.927426 & 0.2197 & 0.826244 & 0.413122 \tabularnewline
`totblogs\r` & -88.3276459152565 & 452.804046 & -0.1951 & 0.845485 & 0.422742 \tabularnewline
t & 17.5341636290996 & 19.780793 & 0.8864 & 0.376169 & 0.188085 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=190422&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]-9437.56002733074[/C][C]5725.77202[/C][C]-1.6483[/C][C]0.10045[/C][C]0.050225[/C][/ROW]
[ROW][C]pageviews[/C][C]5.03502530147297[/C][C]8.182916[/C][C]0.6153[/C][C]0.538863[/C][C]0.269431[/C][/ROW]
[ROW][C]logins[/C][C]176.101795936076[/C][C]61.063644[/C][C]2.8839[/C][C]0.004241[/C][C]0.00212[/C][/ROW]
[ROW][C]compendium_views_info[/C][C]113.796244553688[/C][C]17.492198[/C][C]6.5055[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]compendium_views_pr[/C][C]16.0209735233785[/C][C]33.145681[/C][C]0.4834[/C][C]0.629234[/C][C]0.314617[/C][/ROW]
[ROW][C]shared_compendiums[/C][C]-114.977357621479[/C][C]560.898915[/C][C]-0.205[/C][C]0.837735[/C][C]0.418867[/C][/ROW]
[ROW][C]blogged_computations[/C][C]43.1976207121873[/C][C]91.955547[/C][C]0.4698[/C][C]0.638897[/C][C]0.319448[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]-815.996864502027[/C][C]701.224474[/C][C]-1.1637[/C][C]0.245572[/C][C]0.122786[/C][/ROW]
[ROW][C]feedback_messages_p1[/C][C]353.642646866822[/C][C]210.73361[/C][C]1.6782[/C][C]0.094462[/C][C]0.047231[/C][/ROW]
[ROW][C]feedback_messages_p120[/C][C]191.042041434406[/C][C]104.050321[/C][C]1.8361[/C][C]0.067437[/C][C]0.033719[/C][/ROW]
[ROW][C]totsize[/C][C]-0.102186144224969[/C][C]0.064853[/C][C]-1.5757[/C][C]0.116261[/C][C]0.058131[/C][/ROW]
[ROW][C]totrevisions[/C][C]-0.804542064184006[/C][C]0.318826[/C][C]-2.5234[/C][C]0.012189[/C][C]0.006095[/C][/ROW]
[ROW][C]totseconds[/C][C]0.869155411067696[/C][C]0.071966[/C][C]12.0773[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]tothyperlinks[/C][C]96.0070259284817[/C][C]436.927426[/C][C]0.2197[/C][C]0.826244[/C][C]0.413122[/C][/ROW]
[ROW][C]`totblogs\r`[/C][C]-88.3276459152565[/C][C]452.804046[/C][C]-0.1951[/C][C]0.845485[/C][C]0.422742[/C][/ROW]
[ROW][C]t[/C][C]17.5341636290996[/C][C]19.780793[/C][C]0.8864[/C][C]0.376169[/C][C]0.188085[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=190422&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=190422&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)	-9437.56002733074	5725.77202	-1.6483	0.10045	0.050225
pageviews	5.03502530147297	8.182916	0.6153	0.538863	0.269431
logins	176.101795936076	61.063644	2.8839	0.004241	0.00212
compendium_views_info	113.796244553688	17.492198	6.5055	0	0
compendium_views_pr	16.0209735233785	33.145681	0.4834	0.629234	0.314617
shared_compendiums	-114.977357621479	560.898915	-0.205	0.837735	0.418867
blogged_computations	43.1976207121873	91.955547	0.4698	0.638897	0.319448
compendiums_reviewed	-815.996864502027	701.224474	-1.1637	0.245572	0.122786
feedback_messages_p1	353.642646866822	210.73361	1.6782	0.094462	0.047231
feedback_messages_p120	191.042041434406	104.050321	1.8361	0.067437	0.033719
totsize	-0.102186144224969	0.064853	-1.5757	0.116261	0.058131
totrevisions	-0.804542064184006	0.318826	-2.5234	0.012189	0.006095
totseconds	0.869155411067696	0.071966	12.0773	0	0
tothyperlinks	96.0070259284817	436.927426	0.2197	0.826244	0.413122
`totblogs\r`	-88.3276459152565	452.804046	-0.1951	0.845485	0.422742
t	17.5341636290996	19.780793	0.8864	0.376169	0.188085

Multiple Linear Regression - Regression Statistics
Multiple R	0.967012656243332
R-squared	0.935113477334784
Adjusted R-squared	0.93154828378175
F-TEST (value)	262.289680328586
F-TEST (DF numerator)	15
F-TEST (DF denominator)	273
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	21542.6883451103
Sum Squared Residuals	126695865969.732

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.967012656243332 \tabularnewline
R-squared & 0.935113477334784 \tabularnewline
Adjusted R-squared & 0.93154828378175 \tabularnewline
F-TEST (value) & 262.289680328586 \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 & 21542.6883451103 \tabularnewline
Sum Squared Residuals & 126695865969.732 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=190422&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.967012656243332[/C][/ROW]
[ROW][C]R-squared[/C][C]0.935113477334784[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.93154828378175[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]262.289680328586[/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]21542.6883451103[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]126695865969.732[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=190422&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=190422&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	0.967012656243332
R-squared	0.935113477334784
Adjusted R-squared	0.93154828378175
F-TEST (value)	262.289680328586
F-TEST (DF numerator)	15
F-TEST (DF denominator)	273
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	21542.6883451103
Sum Squared Residuals	126695865969.732

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	210907	188382.912018139	22524.0879818609
2	120982	140031.185900913	-19049.1859009135
3	176508	167608.904982993	8899.09501700716
4	179321	219175.429866732	-39854.429866732
5	123185	109978.144498843	13206.855501157
6	52746	64730.1495984146	-11984.1495984146
7	385534	370737.076878422	14796.9231215782
8	33170	24743.0763752846	8426.92362471541
9	101645	79080.9455059078	22564.0544940922
10	149061	165559.808345766	-16498.8083457657
11	165446	145833.364874836	19612.6351251641
12	237213	239318.989050672	-2105.98905067229
13	173326	166799.622577136	6526.37742286387
14	133131	135581.820887597	-2450.82088759704
15	258873	217627.708604914	41245.2913950858
16	180083	171906.077917305	8176.92208269533
17	324799	367713.47444227	-42914.4744422702
18	230964	205514.478188411	25449.5218115893
19	236785	228109.103013263	8675.89698673722
20	135473	131791.816120253	3681.18387974706
21	202925	195418.64418662	7506.35581337973
22	215147	198264.39741633	16882.6025836696
23	344297	256283.729896463	88013.270103537
24	153935	145217.892929237	8717.1070707626
25	132943	153880.19821162	-20937.19821162
26	174724	225386.537881958	-50662.5378819578
27	174415	211045.661153135	-36630.6611531347
28	225548	254786.264515537	-29238.2645155373
29	223632	205342.891199847	18289.1088001534
30	124817	127227.623989714	-2410.62398971413
31	221698	267426.672438809	-45728.6724388086
32	210767	218563.157909463	-7796.15790946266
33	170266	174529.742516578	-4263.74251657764
34	260561	255099.626302936	5461.37369706431
35	84853	83960.6934504542	892.306549545773
36	294424	290865.173808857	3558.82619114292
37	101011	94197.9670003072	6813.03299969279
38	215641	206791.249034795	8849.75096520466
39	325107	287886.152539466	37220.8474605336
40	7176	4221.86088711659	2954.13911288341
41	167542	156257.98608386	11284.0139161401
42	106408	82045.8470549711	24362.1529450289
43	96560	106529.247081051	-9969.24708105128
44	265769	269402.05931761	-3633.0593176103
45	269651	279856.670329323	-10205.6703293227
46	149112	149575.892356065	-463.892356064737
47	175824	187340.669942367	-11516.6699423674
48	152871	169580.956848147	-16709.9568481468
49	111665	100216.104555705	11448.8954442951
50	116408	169795.110278022	-53387.1102780225
51	362301	321835.839327453	40465.1606725473
52	78800	102900.010773341	-24100.0107733408
53	183167	186771.427574318	-3604.42757431771
54	277965	322425.521710742	-44460.521710742
55	150629	188275.98068519	-37646.98068519
56	168809	190907.814367726	-22098.8143677259
57	24188	36434.5348570281	-12246.5348570281
58	329267	296994.654064308	32272.3459356925
59	65029	64447.8605518043	581.139448195671
60	101097	109861.512187938	-8764.51218793808
61	218946	209169.459304853	9776.54069514701
62	244052	241065.212892107	2986.7871078925
63	341570	335779.066947501	5790.93305249897
64	103597	98366.1699461304	5230.83005386961
65	233328	265662.148671595	-32334.1486715951
66	256462	271612.073997761	-15150.0739977606
67	206161	157940.149937736	48220.8500622638
68	311473	323549.164384632	-12076.1643846317
69	235800	264199.576564521	-28399.5765645214
70	177939	204635.910905779	-26696.910905779
71	207176	194741.285183222	12434.7148167782
72	196553	181401.732081194	15151.2679188061
73	174184	164702.472912006	9481.52708799399
74	143246	147472.956745858	-4226.95674585791
75	187559	220730.372530622	-33171.3725306215
76	187681	180634.960376754	7046.03962324622
77	119016	134287.523366104	-15271.5233661044
78	182192	194530.445374275	-12338.445374275
79	73566	88192.717253352	-14626.717253352
80	194979	192152.856618115	2826.14338188503
81	167488	156529.647394237	10958.3526057628
82	143756	153289.764483657	-9533.76448365672
83	275541	205341.85579577	70199.1442042304
84	243199	227129.477166665	16069.5228333353
85	182999	183867.225063219	-868.225063218671
86	135649	140684.069747546	-5035.06974754557
87	152299	150010.145197523	2288.85480247727
88	120221	132298.503296339	-12077.5032963387
89	346485	271212.69412957	75272.30587043
90	145790	164654.559709458	-18864.559709458
91	193339	156276.979121034	37062.0208789657
92	80953	98720.4876016009	-17767.4876016009
93	122774	135209.690980872	-12435.6909808725
94	130585	111257.225005209	19327.7749947911
95	112611	101863.280911849	10747.7190881508
96	286468	277057.522739165	9410.47726083506
97	241066	223998.830299289	17067.1697007111
98	148446	199885.721033954	-51439.7210339541
99	204713	186173.067001919	18539.9329980813
100	182079	174785.846054168	7293.15394583247
101	140344	142625.392301033	-2281.39230103316
102	220516	215725.817240266	4790.18275973356
103	243060	210392.227999322	32667.7720006779
104	162765	149798.332720406	12966.6672795937
105	182613	176447.781089391	6165.21891060859
106	232138	235152.397114757	-3014.39711475683
107	265318	296978.455219228	-31660.4552192275
108	85574	85293.5984227491	280.4015772509
109	310839	301558.602517035	9280.39748296477
110	225060	200792.120360617	24267.8796393827
111	232317	249173.818867053	-16856.8188670527
112	144966	152003.176493038	-7037.17649303782
113	43287	52020.9612024494	-8733.96120244944
114	155754	151312.137870754	4441.86212924584
115	164709	179351.647644766	-14642.6476447663
116	201940	211804.170434353	-9864.1704343528
117	235454	230037.844869972	5416.15513002769
118	220801	185256.375345173	35544.6246548271
119	99466	161041.748535154	-61575.7485351541
120	92661	100768.012645115	-8107.01264511507
121	133328	131614.795929753	1713.20407024702
122	61361	88541.1920417077	-27180.1920417077
123	125930	154299.419160338	-28369.4191603382
124	100750	138503.884178863	-37753.8841788635
125	224549	200229.598865648	24319.4011343521
126	82316	72654.7913747146	9661.20862528542
127	102010	94747.9551728866	7262.04482711337
128	101523	99468.1776439747	2054.82235602529
129	243511	196620.658464305	46890.3415356954
130	22938	18793.1546121729	4144.84538782713
131	41566	40171.792492589	1394.20750741105
132	152474	166021.25460175	-13547.2546017496
133	61857	46994.0691414483	14862.9308585517
134	99923	136595.923693835	-36672.923693835
135	132487	136961.019541107	-4474.01954110739
136	317394	324831.532785601	-7437.53278560141
137	21054	19976.8483323738	1077.15166762621
138	209641	197743.001843709	11897.9981562914
139	22648	33014.2256364985	-10366.2256364985
140	31414	33627.8823827912	-2213.88238279119
141	46698	63920.2794353295	-17222.2794353295
142	131698	142527.377493534	-10829.3774935339
143	91735	75881.2727129623	15853.7272870377
144	244749	278994.232002824	-34245.2320028236
145	184510	154328.707581446	30181.2924185541
146	79863	86824.2558530737	-6961.25585307374
147	128423	102895.533700291	25527.4662997093
148	97839	112610.359313577	-14771.3593135771
149	38214	51847.4769901136	-13633.4769901136
150	151101	146535.482525629	4565.51747437131
151	272458	249606.385352225	22851.614647775
152	172494	178578.965439968	-6084.96543996823
153	108043	113765.866631723	-5722.86663172288
154	328107	331934.748214107	-3827.74821410705
155	250579	283104.763758377	-32525.7637583768
156	351067	335190.389194946	15876.6108050541
157	158015	156094.102588362	1920.89741163766
158	98866	86337.9513755804	12528.0486244196
159	85439	110255.40522083	-24816.4052208303
160	229242	219799.944043535	9442.05595646492
161	351619	353932.835651739	-2313.83565173932
162	84207	73665.6331542639	10541.3668457361
163	120445	122074.983076811	-1629.98307681076
164	324598	304539.597533678	20058.4024663224
165	131069	145483.808624074	-14414.8086240741
166	204271	190086.492918121	14184.507081879
167	165543	179125.053100581	-13582.0531005815
168	141722	116646.650224326	25075.3497756742
169	116048	114149.4698594	1898.53014060044
170	250047	176837.232063014	73209.7679369862
171	299775	291984.748759484	7790.25124051643
172	195838	185954.118212931	9883.88178706939
173	173260	127760.624323425	45499.3756765749
174	254488	225354.487606156	29133.5123938439
175	104389	143808.916584166	-39419.9165841662
176	136084	138930.756588429	-2846.75658842942
177	199476	225584.534996456	-26108.5349964557
178	92499	79640.5683842668	12858.4316157332
179	224330	224615.918204051	-285.918204051393
180	135781	108896.491772207	26884.5082277935
181	74408	85539.0165963443	-11131.0165963443
182	81240	103538.22538483	-22298.2253848303
183	14688	11093.874758553	3594.12524144704
184	181633	169494.830817214	12138.1691827856
185	271856	272829.388015057	-973.388015056939
186	7199	7308.21924111242	-109.219241112421
187	46660	50044.3131242657	-3384.31312426573
188	17547	8861.86049970617	8685.13950029383
189	133368	138689.806774873	-5321.80677487333
190	95227	64241.7983457678	30985.2016542322
191	152601	107286.266976763	45314.7330232366
192	98146	96802.8599781217	1343.14002187825
193	79619	89842.9770541719	-10223.9770541719
194	59194	74455.4373773315	-15261.4373773315
195	139942	161565.734550554	-21623.734550554
196	118612	107402.591447433	11209.4085525671
197	72880	87297.9281628999	-14417.9281628999
198	65475	62054.9516005289	3420.04839947106
199	99643	121821.491625639	-22178.4916256392
200	71965	68946.5831145345	3018.41688546554
201	77272	72250.6184015806	5021.38159841941
202	49289	43033.8623421467	6255.1376578533
203	135131	112548.003196284	22582.9968037164
204	108446	113390.210800145	-4944.21080014545
205	89746	113473.960494831	-23727.960494831
206	44296	48103.0319937031	-3807.03199370311
207	77648	73849.1941051104	3798.80589488956
208	181528	149216.233611859	32311.7663881405
209	134019	111587.555174868	22431.4448251319
210	124064	128156.216010015	-4092.21601001471
211	92630	93561.2539826949	-931.253982694934
212	121848	90859.8475753144	30988.1524246856
213	52915	52536.512941547	378.48705845297
214	81872	84993.8924959995	-3121.89249599955
215	58981	75542.0558679796	-16561.0558679796
216	53515	68407.5068803562	-14892.5068803562
217	60812	90855.8989999321	-30043.8989999321
218	56375	64375.080886951	-8000.08088695096
219	65490	72255.8190829443	-6765.8190829443
220	80949	66661.8930081178	14287.1069918822
221	76302	93547.0109746253	-17245.0109746253
222	104011	149100.259706507	-45089.2597065067
223	98104	139239.417102092	-41135.4171020918
224	67989	72471.7820703279	-4482.78207032786
225	30989	30016.3793882098	972.620611790197
226	135458	133689.828295082	1768.17170491785
227	73504	61534.7872446168	11969.2127553832
228	63123	80247.9672329405	-17124.9672329405
229	61254	67745.7495091243	-6491.7495091243
230	74914	97756.9452305023	-22842.9452305023
231	31774	42662.1129515687	-10888.1129515687
232	81437	87294.5347913912	-5857.53479139119
233	87186	134576.296785129	-47390.2967851291
234	50090	56743.1297391208	-6653.1297391208
235	65745	80248.6033070361	-14503.6033070361
236	56653	56183.1258451602	469.874154839818
237	158399	109637.153081317	48761.8469186826
238	46455	59115.0475471644	-12660.0475471644
239	73624	86057.0796865931	-12433.0796865931
240	38395	51416.3689931581	-13021.3689931581
241	91899	87057.1595282947	4841.8404717053
242	139526	136362.295314421	3163.70468557876
243	52164	59781.153441253	-7617.15344125296
244	51567	53931.3690359151	-2364.36903591514
245	70551	78306.6067830851	-7755.60678308507
246	84856	94883.1495162465	-10027.1495162465
247	102538	119532.868094543	-16994.8680945431
248	86678	80065.7221285928	6612.27787140725
249	85709	74006.6218939842	11702.3781060158
250	34662	44268.3632274689	-9606.36322746887
251	150580	147809.400321873	2770.59967812749
252	99611	98120.2809695025	1490.7190304975
253	19349	13795.4940233676	5553.50597663242
254	99373	95214.2582586396	4158.74174136039
255	86230	102368.568568475	-16138.5685684746
256	30837	26489.482902248	4347.51709775198
257	31706	40393.1821463401	-8687.18214634008
258	89806	70350.8545255651	19455.1454744349
259	62088	52490.6256965531	9597.3743034469
260	40151	39415.817603829	735.18239617102
261	27634	36339.1068747982	-8705.10687479822
262	76990	76946.6760108617	43.3239891383457
263	37460	23212.5629661762	14247.4370338238
264	54157	53999.0592933834	157.940706616617
265	49862	56612.7999654286	-6750.79996542857
266	84337	81880.5376156721	2456.46238432787
267	64175	78396.281079668	-14221.281079668
268	59382	59416.1158334154	-34.1158334153975
269	119308	87196.323731688	32111.676268312
270	76702	85181.0406927394	-8479.04069273938
271	103425	105234.437152645	-1809.43715264514
272	70344	68765.0088405884	1578.9911594116
273	43410	37702.2963027924	5707.70369720762
274	104838	101081.698460104	3756.30153989585
275	62215	53413.2800303626	8801.71996963738
276	69304	71338.5317967782	-2034.53179677824
277	53117	34331.8639499043	18785.1360500957
278	19764	16275.9237605017	3488.07623949828
279	86680	95835.9258807838	-9155.92588078382
280	84105	72813.5590495682	11291.4409504318
281	77945	76544.7644202033	1400.23557979674
282	89113	59499.4050862632	29613.5949137368
283	91005	81081.5034533437	9923.49654665628
284	40248	29734.2150293676	10513.7849706324
285	64187	60164.2109877749	4022.78901222512
286	50857	46181.6908884017	4675.30911159828
287	56613	49674.1695119397	6938.83048806027
288	62792	68170.6240182375	-5378.62401823747
289	72535	83518.7371105089	-10983.7371105089

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 210907 & 188382.912018139 & 22524.0879818609 \tabularnewline
2 & 120982 & 140031.185900913 & -19049.1859009135 \tabularnewline
3 & 176508 & 167608.904982993 & 8899.09501700716 \tabularnewline
4 & 179321 & 219175.429866732 & -39854.429866732 \tabularnewline
5 & 123185 & 109978.144498843 & 13206.855501157 \tabularnewline
6 & 52746 & 64730.1495984146 & -11984.1495984146 \tabularnewline
7 & 385534 & 370737.076878422 & 14796.9231215782 \tabularnewline
8 & 33170 & 24743.0763752846 & 8426.92362471541 \tabularnewline
9 & 101645 & 79080.9455059078 & 22564.0544940922 \tabularnewline
10 & 149061 & 165559.808345766 & -16498.8083457657 \tabularnewline
11 & 165446 & 145833.364874836 & 19612.6351251641 \tabularnewline
12 & 237213 & 239318.989050672 & -2105.98905067229 \tabularnewline
13 & 173326 & 166799.622577136 & 6526.37742286387 \tabularnewline
14 & 133131 & 135581.820887597 & -2450.82088759704 \tabularnewline
15 & 258873 & 217627.708604914 & 41245.2913950858 \tabularnewline
16 & 180083 & 171906.077917305 & 8176.92208269533 \tabularnewline
17 & 324799 & 367713.47444227 & -42914.4744422702 \tabularnewline
18 & 230964 & 205514.478188411 & 25449.5218115893 \tabularnewline
19 & 236785 & 228109.103013263 & 8675.89698673722 \tabularnewline
20 & 135473 & 131791.816120253 & 3681.18387974706 \tabularnewline
21 & 202925 & 195418.64418662 & 7506.35581337973 \tabularnewline
22 & 215147 & 198264.39741633 & 16882.6025836696 \tabularnewline
23 & 344297 & 256283.729896463 & 88013.270103537 \tabularnewline
24 & 153935 & 145217.892929237 & 8717.1070707626 \tabularnewline
25 & 132943 & 153880.19821162 & -20937.19821162 \tabularnewline
26 & 174724 & 225386.537881958 & -50662.5378819578 \tabularnewline
27 & 174415 & 211045.661153135 & -36630.6611531347 \tabularnewline
28 & 225548 & 254786.264515537 & -29238.2645155373 \tabularnewline
29 & 223632 & 205342.891199847 & 18289.1088001534 \tabularnewline
30 & 124817 & 127227.623989714 & -2410.62398971413 \tabularnewline
31 & 221698 & 267426.672438809 & -45728.6724388086 \tabularnewline
32 & 210767 & 218563.157909463 & -7796.15790946266 \tabularnewline
33 & 170266 & 174529.742516578 & -4263.74251657764 \tabularnewline
34 & 260561 & 255099.626302936 & 5461.37369706431 \tabularnewline
35 & 84853 & 83960.6934504542 & 892.306549545773 \tabularnewline
36 & 294424 & 290865.173808857 & 3558.82619114292 \tabularnewline
37 & 101011 & 94197.9670003072 & 6813.03299969279 \tabularnewline
38 & 215641 & 206791.249034795 & 8849.75096520466 \tabularnewline
39 & 325107 & 287886.152539466 & 37220.8474605336 \tabularnewline
40 & 7176 & 4221.86088711659 & 2954.13911288341 \tabularnewline
41 & 167542 & 156257.98608386 & 11284.0139161401 \tabularnewline
42 & 106408 & 82045.8470549711 & 24362.1529450289 \tabularnewline
43 & 96560 & 106529.247081051 & -9969.24708105128 \tabularnewline
44 & 265769 & 269402.05931761 & -3633.0593176103 \tabularnewline
45 & 269651 & 279856.670329323 & -10205.6703293227 \tabularnewline
46 & 149112 & 149575.892356065 & -463.892356064737 \tabularnewline
47 & 175824 & 187340.669942367 & -11516.6699423674 \tabularnewline
48 & 152871 & 169580.956848147 & -16709.9568481468 \tabularnewline
49 & 111665 & 100216.104555705 & 11448.8954442951 \tabularnewline
50 & 116408 & 169795.110278022 & -53387.1102780225 \tabularnewline
51 & 362301 & 321835.839327453 & 40465.1606725473 \tabularnewline
52 & 78800 & 102900.010773341 & -24100.0107733408 \tabularnewline
53 & 183167 & 186771.427574318 & -3604.42757431771 \tabularnewline
54 & 277965 & 322425.521710742 & -44460.521710742 \tabularnewline
55 & 150629 & 188275.98068519 & -37646.98068519 \tabularnewline
56 & 168809 & 190907.814367726 & -22098.8143677259 \tabularnewline
57 & 24188 & 36434.5348570281 & -12246.5348570281 \tabularnewline
58 & 329267 & 296994.654064308 & 32272.3459356925 \tabularnewline
59 & 65029 & 64447.8605518043 & 581.139448195671 \tabularnewline
60 & 101097 & 109861.512187938 & -8764.51218793808 \tabularnewline
61 & 218946 & 209169.459304853 & 9776.54069514701 \tabularnewline
62 & 244052 & 241065.212892107 & 2986.7871078925 \tabularnewline
63 & 341570 & 335779.066947501 & 5790.93305249897 \tabularnewline
64 & 103597 & 98366.1699461304 & 5230.83005386961 \tabularnewline
65 & 233328 & 265662.148671595 & -32334.1486715951 \tabularnewline
66 & 256462 & 271612.073997761 & -15150.0739977606 \tabularnewline
67 & 206161 & 157940.149937736 & 48220.8500622638 \tabularnewline
68 & 311473 & 323549.164384632 & -12076.1643846317 \tabularnewline
69 & 235800 & 264199.576564521 & -28399.5765645214 \tabularnewline
70 & 177939 & 204635.910905779 & -26696.910905779 \tabularnewline
71 & 207176 & 194741.285183222 & 12434.7148167782 \tabularnewline
72 & 196553 & 181401.732081194 & 15151.2679188061 \tabularnewline
73 & 174184 & 164702.472912006 & 9481.52708799399 \tabularnewline
74 & 143246 & 147472.956745858 & -4226.95674585791 \tabularnewline
75 & 187559 & 220730.372530622 & -33171.3725306215 \tabularnewline
76 & 187681 & 180634.960376754 & 7046.03962324622 \tabularnewline
77 & 119016 & 134287.523366104 & -15271.5233661044 \tabularnewline
78 & 182192 & 194530.445374275 & -12338.445374275 \tabularnewline
79 & 73566 & 88192.717253352 & -14626.717253352 \tabularnewline
80 & 194979 & 192152.856618115 & 2826.14338188503 \tabularnewline
81 & 167488 & 156529.647394237 & 10958.3526057628 \tabularnewline
82 & 143756 & 153289.764483657 & -9533.76448365672 \tabularnewline
83 & 275541 & 205341.85579577 & 70199.1442042304 \tabularnewline
84 & 243199 & 227129.477166665 & 16069.5228333353 \tabularnewline
85 & 182999 & 183867.225063219 & -868.225063218671 \tabularnewline
86 & 135649 & 140684.069747546 & -5035.06974754557 \tabularnewline
87 & 152299 & 150010.145197523 & 2288.85480247727 \tabularnewline
88 & 120221 & 132298.503296339 & -12077.5032963387 \tabularnewline
89 & 346485 & 271212.69412957 & 75272.30587043 \tabularnewline
90 & 145790 & 164654.559709458 & -18864.559709458 \tabularnewline
91 & 193339 & 156276.979121034 & 37062.0208789657 \tabularnewline
92 & 80953 & 98720.4876016009 & -17767.4876016009 \tabularnewline
93 & 122774 & 135209.690980872 & -12435.6909808725 \tabularnewline
94 & 130585 & 111257.225005209 & 19327.7749947911 \tabularnewline
95 & 112611 & 101863.280911849 & 10747.7190881508 \tabularnewline
96 & 286468 & 277057.522739165 & 9410.47726083506 \tabularnewline
97 & 241066 & 223998.830299289 & 17067.1697007111 \tabularnewline
98 & 148446 & 199885.721033954 & -51439.7210339541 \tabularnewline
99 & 204713 & 186173.067001919 & 18539.9329980813 \tabularnewline
100 & 182079 & 174785.846054168 & 7293.15394583247 \tabularnewline
101 & 140344 & 142625.392301033 & -2281.39230103316 \tabularnewline
102 & 220516 & 215725.817240266 & 4790.18275973356 \tabularnewline
103 & 243060 & 210392.227999322 & 32667.7720006779 \tabularnewline
104 & 162765 & 149798.332720406 & 12966.6672795937 \tabularnewline
105 & 182613 & 176447.781089391 & 6165.21891060859 \tabularnewline
106 & 232138 & 235152.397114757 & -3014.39711475683 \tabularnewline
107 & 265318 & 296978.455219228 & -31660.4552192275 \tabularnewline
108 & 85574 & 85293.5984227491 & 280.4015772509 \tabularnewline
109 & 310839 & 301558.602517035 & 9280.39748296477 \tabularnewline
110 & 225060 & 200792.120360617 & 24267.8796393827 \tabularnewline
111 & 232317 & 249173.818867053 & -16856.8188670527 \tabularnewline
112 & 144966 & 152003.176493038 & -7037.17649303782 \tabularnewline
113 & 43287 & 52020.9612024494 & -8733.96120244944 \tabularnewline
114 & 155754 & 151312.137870754 & 4441.86212924584 \tabularnewline
115 & 164709 & 179351.647644766 & -14642.6476447663 \tabularnewline
116 & 201940 & 211804.170434353 & -9864.1704343528 \tabularnewline
117 & 235454 & 230037.844869972 & 5416.15513002769 \tabularnewline
118 & 220801 & 185256.375345173 & 35544.6246548271 \tabularnewline
119 & 99466 & 161041.748535154 & -61575.7485351541 \tabularnewline
120 & 92661 & 100768.012645115 & -8107.01264511507 \tabularnewline
121 & 133328 & 131614.795929753 & 1713.20407024702 \tabularnewline
122 & 61361 & 88541.1920417077 & -27180.1920417077 \tabularnewline
123 & 125930 & 154299.419160338 & -28369.4191603382 \tabularnewline
124 & 100750 & 138503.884178863 & -37753.8841788635 \tabularnewline
125 & 224549 & 200229.598865648 & 24319.4011343521 \tabularnewline
126 & 82316 & 72654.7913747146 & 9661.20862528542 \tabularnewline
127 & 102010 & 94747.9551728866 & 7262.04482711337 \tabularnewline
128 & 101523 & 99468.1776439747 & 2054.82235602529 \tabularnewline
129 & 243511 & 196620.658464305 & 46890.3415356954 \tabularnewline
130 & 22938 & 18793.1546121729 & 4144.84538782713 \tabularnewline
131 & 41566 & 40171.792492589 & 1394.20750741105 \tabularnewline
132 & 152474 & 166021.25460175 & -13547.2546017496 \tabularnewline
133 & 61857 & 46994.0691414483 & 14862.9308585517 \tabularnewline
134 & 99923 & 136595.923693835 & -36672.923693835 \tabularnewline
135 & 132487 & 136961.019541107 & -4474.01954110739 \tabularnewline
136 & 317394 & 324831.532785601 & -7437.53278560141 \tabularnewline
137 & 21054 & 19976.8483323738 & 1077.15166762621 \tabularnewline
138 & 209641 & 197743.001843709 & 11897.9981562914 \tabularnewline
139 & 22648 & 33014.2256364985 & -10366.2256364985 \tabularnewline
140 & 31414 & 33627.8823827912 & -2213.88238279119 \tabularnewline
141 & 46698 & 63920.2794353295 & -17222.2794353295 \tabularnewline
142 & 131698 & 142527.377493534 & -10829.3774935339 \tabularnewline
143 & 91735 & 75881.2727129623 & 15853.7272870377 \tabularnewline
144 & 244749 & 278994.232002824 & -34245.2320028236 \tabularnewline
145 & 184510 & 154328.707581446 & 30181.2924185541 \tabularnewline
146 & 79863 & 86824.2558530737 & -6961.25585307374 \tabularnewline
147 & 128423 & 102895.533700291 & 25527.4662997093 \tabularnewline
148 & 97839 & 112610.359313577 & -14771.3593135771 \tabularnewline
149 & 38214 & 51847.4769901136 & -13633.4769901136 \tabularnewline
150 & 151101 & 146535.482525629 & 4565.51747437131 \tabularnewline
151 & 272458 & 249606.385352225 & 22851.614647775 \tabularnewline
152 & 172494 & 178578.965439968 & -6084.96543996823 \tabularnewline
153 & 108043 & 113765.866631723 & -5722.86663172288 \tabularnewline
154 & 328107 & 331934.748214107 & -3827.74821410705 \tabularnewline
155 & 250579 & 283104.763758377 & -32525.7637583768 \tabularnewline
156 & 351067 & 335190.389194946 & 15876.6108050541 \tabularnewline
157 & 158015 & 156094.102588362 & 1920.89741163766 \tabularnewline
158 & 98866 & 86337.9513755804 & 12528.0486244196 \tabularnewline
159 & 85439 & 110255.40522083 & -24816.4052208303 \tabularnewline
160 & 229242 & 219799.944043535 & 9442.05595646492 \tabularnewline
161 & 351619 & 353932.835651739 & -2313.83565173932 \tabularnewline
162 & 84207 & 73665.6331542639 & 10541.3668457361 \tabularnewline
163 & 120445 & 122074.983076811 & -1629.98307681076 \tabularnewline
164 & 324598 & 304539.597533678 & 20058.4024663224 \tabularnewline
165 & 131069 & 145483.808624074 & -14414.8086240741 \tabularnewline
166 & 204271 & 190086.492918121 & 14184.507081879 \tabularnewline
167 & 165543 & 179125.053100581 & -13582.0531005815 \tabularnewline
168 & 141722 & 116646.650224326 & 25075.3497756742 \tabularnewline
169 & 116048 & 114149.4698594 & 1898.53014060044 \tabularnewline
170 & 250047 & 176837.232063014 & 73209.7679369862 \tabularnewline
171 & 299775 & 291984.748759484 & 7790.25124051643 \tabularnewline
172 & 195838 & 185954.118212931 & 9883.88178706939 \tabularnewline
173 & 173260 & 127760.624323425 & 45499.3756765749 \tabularnewline
174 & 254488 & 225354.487606156 & 29133.5123938439 \tabularnewline
175 & 104389 & 143808.916584166 & -39419.9165841662 \tabularnewline
176 & 136084 & 138930.756588429 & -2846.75658842942 \tabularnewline
177 & 199476 & 225584.534996456 & -26108.5349964557 \tabularnewline
178 & 92499 & 79640.5683842668 & 12858.4316157332 \tabularnewline
179 & 224330 & 224615.918204051 & -285.918204051393 \tabularnewline
180 & 135781 & 108896.491772207 & 26884.5082277935 \tabularnewline
181 & 74408 & 85539.0165963443 & -11131.0165963443 \tabularnewline
182 & 81240 & 103538.22538483 & -22298.2253848303 \tabularnewline
183 & 14688 & 11093.874758553 & 3594.12524144704 \tabularnewline
184 & 181633 & 169494.830817214 & 12138.1691827856 \tabularnewline
185 & 271856 & 272829.388015057 & -973.388015056939 \tabularnewline
186 & 7199 & 7308.21924111242 & -109.219241112421 \tabularnewline
187 & 46660 & 50044.3131242657 & -3384.31312426573 \tabularnewline
188 & 17547 & 8861.86049970617 & 8685.13950029383 \tabularnewline
189 & 133368 & 138689.806774873 & -5321.80677487333 \tabularnewline
190 & 95227 & 64241.7983457678 & 30985.2016542322 \tabularnewline
191 & 152601 & 107286.266976763 & 45314.7330232366 \tabularnewline
192 & 98146 & 96802.8599781217 & 1343.14002187825 \tabularnewline
193 & 79619 & 89842.9770541719 & -10223.9770541719 \tabularnewline
194 & 59194 & 74455.4373773315 & -15261.4373773315 \tabularnewline
195 & 139942 & 161565.734550554 & -21623.734550554 \tabularnewline
196 & 118612 & 107402.591447433 & 11209.4085525671 \tabularnewline
197 & 72880 & 87297.9281628999 & -14417.9281628999 \tabularnewline
198 & 65475 & 62054.9516005289 & 3420.04839947106 \tabularnewline
199 & 99643 & 121821.491625639 & -22178.4916256392 \tabularnewline
200 & 71965 & 68946.5831145345 & 3018.41688546554 \tabularnewline
201 & 77272 & 72250.6184015806 & 5021.38159841941 \tabularnewline
202 & 49289 & 43033.8623421467 & 6255.1376578533 \tabularnewline
203 & 135131 & 112548.003196284 & 22582.9968037164 \tabularnewline
204 & 108446 & 113390.210800145 & -4944.21080014545 \tabularnewline
205 & 89746 & 113473.960494831 & -23727.960494831 \tabularnewline
206 & 44296 & 48103.0319937031 & -3807.03199370311 \tabularnewline
207 & 77648 & 73849.1941051104 & 3798.80589488956 \tabularnewline
208 & 181528 & 149216.233611859 & 32311.7663881405 \tabularnewline
209 & 134019 & 111587.555174868 & 22431.4448251319 \tabularnewline
210 & 124064 & 128156.216010015 & -4092.21601001471 \tabularnewline
211 & 92630 & 93561.2539826949 & -931.253982694934 \tabularnewline
212 & 121848 & 90859.8475753144 & 30988.1524246856 \tabularnewline
213 & 52915 & 52536.512941547 & 378.48705845297 \tabularnewline
214 & 81872 & 84993.8924959995 & -3121.89249599955 \tabularnewline
215 & 58981 & 75542.0558679796 & -16561.0558679796 \tabularnewline
216 & 53515 & 68407.5068803562 & -14892.5068803562 \tabularnewline
217 & 60812 & 90855.8989999321 & -30043.8989999321 \tabularnewline
218 & 56375 & 64375.080886951 & -8000.08088695096 \tabularnewline
219 & 65490 & 72255.8190829443 & -6765.8190829443 \tabularnewline
220 & 80949 & 66661.8930081178 & 14287.1069918822 \tabularnewline
221 & 76302 & 93547.0109746253 & -17245.0109746253 \tabularnewline
222 & 104011 & 149100.259706507 & -45089.2597065067 \tabularnewline
223 & 98104 & 139239.417102092 & -41135.4171020918 \tabularnewline
224 & 67989 & 72471.7820703279 & -4482.78207032786 \tabularnewline
225 & 30989 & 30016.3793882098 & 972.620611790197 \tabularnewline
226 & 135458 & 133689.828295082 & 1768.17170491785 \tabularnewline
227 & 73504 & 61534.7872446168 & 11969.2127553832 \tabularnewline
228 & 63123 & 80247.9672329405 & -17124.9672329405 \tabularnewline
229 & 61254 & 67745.7495091243 & -6491.7495091243 \tabularnewline
230 & 74914 & 97756.9452305023 & -22842.9452305023 \tabularnewline
231 & 31774 & 42662.1129515687 & -10888.1129515687 \tabularnewline
232 & 81437 & 87294.5347913912 & -5857.53479139119 \tabularnewline
233 & 87186 & 134576.296785129 & -47390.2967851291 \tabularnewline
234 & 50090 & 56743.1297391208 & -6653.1297391208 \tabularnewline
235 & 65745 & 80248.6033070361 & -14503.6033070361 \tabularnewline
236 & 56653 & 56183.1258451602 & 469.874154839818 \tabularnewline
237 & 158399 & 109637.153081317 & 48761.8469186826 \tabularnewline
238 & 46455 & 59115.0475471644 & -12660.0475471644 \tabularnewline
239 & 73624 & 86057.0796865931 & -12433.0796865931 \tabularnewline
240 & 38395 & 51416.3689931581 & -13021.3689931581 \tabularnewline
241 & 91899 & 87057.1595282947 & 4841.8404717053 \tabularnewline
242 & 139526 & 136362.295314421 & 3163.70468557876 \tabularnewline
243 & 52164 & 59781.153441253 & -7617.15344125296 \tabularnewline
244 & 51567 & 53931.3690359151 & -2364.36903591514 \tabularnewline
245 & 70551 & 78306.6067830851 & -7755.60678308507 \tabularnewline
246 & 84856 & 94883.1495162465 & -10027.1495162465 \tabularnewline
247 & 102538 & 119532.868094543 & -16994.8680945431 \tabularnewline
248 & 86678 & 80065.7221285928 & 6612.27787140725 \tabularnewline
249 & 85709 & 74006.6218939842 & 11702.3781060158 \tabularnewline
250 & 34662 & 44268.3632274689 & -9606.36322746887 \tabularnewline
251 & 150580 & 147809.400321873 & 2770.59967812749 \tabularnewline
252 & 99611 & 98120.2809695025 & 1490.7190304975 \tabularnewline
253 & 19349 & 13795.4940233676 & 5553.50597663242 \tabularnewline
254 & 99373 & 95214.2582586396 & 4158.74174136039 \tabularnewline
255 & 86230 & 102368.568568475 & -16138.5685684746 \tabularnewline
256 & 30837 & 26489.482902248 & 4347.51709775198 \tabularnewline
257 & 31706 & 40393.1821463401 & -8687.18214634008 \tabularnewline
258 & 89806 & 70350.8545255651 & 19455.1454744349 \tabularnewline
259 & 62088 & 52490.6256965531 & 9597.3743034469 \tabularnewline
260 & 40151 & 39415.817603829 & 735.18239617102 \tabularnewline
261 & 27634 & 36339.1068747982 & -8705.10687479822 \tabularnewline
262 & 76990 & 76946.6760108617 & 43.3239891383457 \tabularnewline
263 & 37460 & 23212.5629661762 & 14247.4370338238 \tabularnewline
264 & 54157 & 53999.0592933834 & 157.940706616617 \tabularnewline
265 & 49862 & 56612.7999654286 & -6750.79996542857 \tabularnewline
266 & 84337 & 81880.5376156721 & 2456.46238432787 \tabularnewline
267 & 64175 & 78396.281079668 & -14221.281079668 \tabularnewline
268 & 59382 & 59416.1158334154 & -34.1158334153975 \tabularnewline
269 & 119308 & 87196.323731688 & 32111.676268312 \tabularnewline
270 & 76702 & 85181.0406927394 & -8479.04069273938 \tabularnewline
271 & 103425 & 105234.437152645 & -1809.43715264514 \tabularnewline
272 & 70344 & 68765.0088405884 & 1578.9911594116 \tabularnewline
273 & 43410 & 37702.2963027924 & 5707.70369720762 \tabularnewline
274 & 104838 & 101081.698460104 & 3756.30153989585 \tabularnewline
275 & 62215 & 53413.2800303626 & 8801.71996963738 \tabularnewline
276 & 69304 & 71338.5317967782 & -2034.53179677824 \tabularnewline
277 & 53117 & 34331.8639499043 & 18785.1360500957 \tabularnewline
278 & 19764 & 16275.9237605017 & 3488.07623949828 \tabularnewline
279 & 86680 & 95835.9258807838 & -9155.92588078382 \tabularnewline
280 & 84105 & 72813.5590495682 & 11291.4409504318 \tabularnewline
281 & 77945 & 76544.7644202033 & 1400.23557979674 \tabularnewline
282 & 89113 & 59499.4050862632 & 29613.5949137368 \tabularnewline
283 & 91005 & 81081.5034533437 & 9923.49654665628 \tabularnewline
284 & 40248 & 29734.2150293676 & 10513.7849706324 \tabularnewline
285 & 64187 & 60164.2109877749 & 4022.78901222512 \tabularnewline
286 & 50857 & 46181.6908884017 & 4675.30911159828 \tabularnewline
287 & 56613 & 49674.1695119397 & 6938.83048806027 \tabularnewline
288 & 62792 & 68170.6240182375 & -5378.62401823747 \tabularnewline
289 & 72535 & 83518.7371105089 & -10983.7371105089 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=190422&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]188382.912018139[/C][C]22524.0879818609[/C][/ROW]
[ROW][C]2[/C][C]120982[/C][C]140031.185900913[/C][C]-19049.1859009135[/C][/ROW]
[ROW][C]3[/C][C]176508[/C][C]167608.904982993[/C][C]8899.09501700716[/C][/ROW]
[ROW][C]4[/C][C]179321[/C][C]219175.429866732[/C][C]-39854.429866732[/C][/ROW]
[ROW][C]5[/C][C]123185[/C][C]109978.144498843[/C][C]13206.855501157[/C][/ROW]
[ROW][C]6[/C][C]52746[/C][C]64730.1495984146[/C][C]-11984.1495984146[/C][/ROW]
[ROW][C]7[/C][C]385534[/C][C]370737.076878422[/C][C]14796.9231215782[/C][/ROW]
[ROW][C]8[/C][C]33170[/C][C]24743.0763752846[/C][C]8426.92362471541[/C][/ROW]
[ROW][C]9[/C][C]101645[/C][C]79080.9455059078[/C][C]22564.0544940922[/C][/ROW]
[ROW][C]10[/C][C]149061[/C][C]165559.808345766[/C][C]-16498.8083457657[/C][/ROW]
[ROW][C]11[/C][C]165446[/C][C]145833.364874836[/C][C]19612.6351251641[/C][/ROW]
[ROW][C]12[/C][C]237213[/C][C]239318.989050672[/C][C]-2105.98905067229[/C][/ROW]
[ROW][C]13[/C][C]173326[/C][C]166799.622577136[/C][C]6526.37742286387[/C][/ROW]
[ROW][C]14[/C][C]133131[/C][C]135581.820887597[/C][C]-2450.82088759704[/C][/ROW]
[ROW][C]15[/C][C]258873[/C][C]217627.708604914[/C][C]41245.2913950858[/C][/ROW]
[ROW][C]16[/C][C]180083[/C][C]171906.077917305[/C][C]8176.92208269533[/C][/ROW]
[ROW][C]17[/C][C]324799[/C][C]367713.47444227[/C][C]-42914.4744422702[/C][/ROW]
[ROW][C]18[/C][C]230964[/C][C]205514.478188411[/C][C]25449.5218115893[/C][/ROW]
[ROW][C]19[/C][C]236785[/C][C]228109.103013263[/C][C]8675.89698673722[/C][/ROW]
[ROW][C]20[/C][C]135473[/C][C]131791.816120253[/C][C]3681.18387974706[/C][/ROW]
[ROW][C]21[/C][C]202925[/C][C]195418.64418662[/C][C]7506.35581337973[/C][/ROW]
[ROW][C]22[/C][C]215147[/C][C]198264.39741633[/C][C]16882.6025836696[/C][/ROW]
[ROW][C]23[/C][C]344297[/C][C]256283.729896463[/C][C]88013.270103537[/C][/ROW]
[ROW][C]24[/C][C]153935[/C][C]145217.892929237[/C][C]8717.1070707626[/C][/ROW]
[ROW][C]25[/C][C]132943[/C][C]153880.19821162[/C][C]-20937.19821162[/C][/ROW]
[ROW][C]26[/C][C]174724[/C][C]225386.537881958[/C][C]-50662.5378819578[/C][/ROW]
[ROW][C]27[/C][C]174415[/C][C]211045.661153135[/C][C]-36630.6611531347[/C][/ROW]
[ROW][C]28[/C][C]225548[/C][C]254786.264515537[/C][C]-29238.2645155373[/C][/ROW]
[ROW][C]29[/C][C]223632[/C][C]205342.891199847[/C][C]18289.1088001534[/C][/ROW]
[ROW][C]30[/C][C]124817[/C][C]127227.623989714[/C][C]-2410.62398971413[/C][/ROW]
[ROW][C]31[/C][C]221698[/C][C]267426.672438809[/C][C]-45728.6724388086[/C][/ROW]
[ROW][C]32[/C][C]210767[/C][C]218563.157909463[/C][C]-7796.15790946266[/C][/ROW]
[ROW][C]33[/C][C]170266[/C][C]174529.742516578[/C][C]-4263.74251657764[/C][/ROW]
[ROW][C]34[/C][C]260561[/C][C]255099.626302936[/C][C]5461.37369706431[/C][/ROW]
[ROW][C]35[/C][C]84853[/C][C]83960.6934504542[/C][C]892.306549545773[/C][/ROW]
[ROW][C]36[/C][C]294424[/C][C]290865.173808857[/C][C]3558.82619114292[/C][/ROW]
[ROW][C]37[/C][C]101011[/C][C]94197.9670003072[/C][C]6813.03299969279[/C][/ROW]
[ROW][C]38[/C][C]215641[/C][C]206791.249034795[/C][C]8849.75096520466[/C][/ROW]
[ROW][C]39[/C][C]325107[/C][C]287886.152539466[/C][C]37220.8474605336[/C][/ROW]
[ROW][C]40[/C][C]7176[/C][C]4221.86088711659[/C][C]2954.13911288341[/C][/ROW]
[ROW][C]41[/C][C]167542[/C][C]156257.98608386[/C][C]11284.0139161401[/C][/ROW]
[ROW][C]42[/C][C]106408[/C][C]82045.8470549711[/C][C]24362.1529450289[/C][/ROW]
[ROW][C]43[/C][C]96560[/C][C]106529.247081051[/C][C]-9969.24708105128[/C][/ROW]
[ROW][C]44[/C][C]265769[/C][C]269402.05931761[/C][C]-3633.0593176103[/C][/ROW]
[ROW][C]45[/C][C]269651[/C][C]279856.670329323[/C][C]-10205.6703293227[/C][/ROW]
[ROW][C]46[/C][C]149112[/C][C]149575.892356065[/C][C]-463.892356064737[/C][/ROW]
[ROW][C]47[/C][C]175824[/C][C]187340.669942367[/C][C]-11516.6699423674[/C][/ROW]
[ROW][C]48[/C][C]152871[/C][C]169580.956848147[/C][C]-16709.9568481468[/C][/ROW]
[ROW][C]49[/C][C]111665[/C][C]100216.104555705[/C][C]11448.8954442951[/C][/ROW]
[ROW][C]50[/C][C]116408[/C][C]169795.110278022[/C][C]-53387.1102780225[/C][/ROW]
[ROW][C]51[/C][C]362301[/C][C]321835.839327453[/C][C]40465.1606725473[/C][/ROW]
[ROW][C]52[/C][C]78800[/C][C]102900.010773341[/C][C]-24100.0107733408[/C][/ROW]
[ROW][C]53[/C][C]183167[/C][C]186771.427574318[/C][C]-3604.42757431771[/C][/ROW]
[ROW][C]54[/C][C]277965[/C][C]322425.521710742[/C][C]-44460.521710742[/C][/ROW]
[ROW][C]55[/C][C]150629[/C][C]188275.98068519[/C][C]-37646.98068519[/C][/ROW]
[ROW][C]56[/C][C]168809[/C][C]190907.814367726[/C][C]-22098.8143677259[/C][/ROW]
[ROW][C]57[/C][C]24188[/C][C]36434.5348570281[/C][C]-12246.5348570281[/C][/ROW]
[ROW][C]58[/C][C]329267[/C][C]296994.654064308[/C][C]32272.3459356925[/C][/ROW]
[ROW][C]59[/C][C]65029[/C][C]64447.8605518043[/C][C]581.139448195671[/C][/ROW]
[ROW][C]60[/C][C]101097[/C][C]109861.512187938[/C][C]-8764.51218793808[/C][/ROW]
[ROW][C]61[/C][C]218946[/C][C]209169.459304853[/C][C]9776.54069514701[/C][/ROW]
[ROW][C]62[/C][C]244052[/C][C]241065.212892107[/C][C]2986.7871078925[/C][/ROW]
[ROW][C]63[/C][C]341570[/C][C]335779.066947501[/C][C]5790.93305249897[/C][/ROW]
[ROW][C]64[/C][C]103597[/C][C]98366.1699461304[/C][C]5230.83005386961[/C][/ROW]
[ROW][C]65[/C][C]233328[/C][C]265662.148671595[/C][C]-32334.1486715951[/C][/ROW]
[ROW][C]66[/C][C]256462[/C][C]271612.073997761[/C][C]-15150.0739977606[/C][/ROW]
[ROW][C]67[/C][C]206161[/C][C]157940.149937736[/C][C]48220.8500622638[/C][/ROW]
[ROW][C]68[/C][C]311473[/C][C]323549.164384632[/C][C]-12076.1643846317[/C][/ROW]
[ROW][C]69[/C][C]235800[/C][C]264199.576564521[/C][C]-28399.5765645214[/C][/ROW]
[ROW][C]70[/C][C]177939[/C][C]204635.910905779[/C][C]-26696.910905779[/C][/ROW]
[ROW][C]71[/C][C]207176[/C][C]194741.285183222[/C][C]12434.7148167782[/C][/ROW]
[ROW][C]72[/C][C]196553[/C][C]181401.732081194[/C][C]15151.2679188061[/C][/ROW]
[ROW][C]73[/C][C]174184[/C][C]164702.472912006[/C][C]9481.52708799399[/C][/ROW]
[ROW][C]74[/C][C]143246[/C][C]147472.956745858[/C][C]-4226.95674585791[/C][/ROW]
[ROW][C]75[/C][C]187559[/C][C]220730.372530622[/C][C]-33171.3725306215[/C][/ROW]
[ROW][C]76[/C][C]187681[/C][C]180634.960376754[/C][C]7046.03962324622[/C][/ROW]
[ROW][C]77[/C][C]119016[/C][C]134287.523366104[/C][C]-15271.5233661044[/C][/ROW]
[ROW][C]78[/C][C]182192[/C][C]194530.445374275[/C][C]-12338.445374275[/C][/ROW]
[ROW][C]79[/C][C]73566[/C][C]88192.717253352[/C][C]-14626.717253352[/C][/ROW]
[ROW][C]80[/C][C]194979[/C][C]192152.856618115[/C][C]2826.14338188503[/C][/ROW]
[ROW][C]81[/C][C]167488[/C][C]156529.647394237[/C][C]10958.3526057628[/C][/ROW]
[ROW][C]82[/C][C]143756[/C][C]153289.764483657[/C][C]-9533.76448365672[/C][/ROW]
[ROW][C]83[/C][C]275541[/C][C]205341.85579577[/C][C]70199.1442042304[/C][/ROW]
[ROW][C]84[/C][C]243199[/C][C]227129.477166665[/C][C]16069.5228333353[/C][/ROW]
[ROW][C]85[/C][C]182999[/C][C]183867.225063219[/C][C]-868.225063218671[/C][/ROW]
[ROW][C]86[/C][C]135649[/C][C]140684.069747546[/C][C]-5035.06974754557[/C][/ROW]
[ROW][C]87[/C][C]152299[/C][C]150010.145197523[/C][C]2288.85480247727[/C][/ROW]
[ROW][C]88[/C][C]120221[/C][C]132298.503296339[/C][C]-12077.5032963387[/C][/ROW]
[ROW][C]89[/C][C]346485[/C][C]271212.69412957[/C][C]75272.30587043[/C][/ROW]
[ROW][C]90[/C][C]145790[/C][C]164654.559709458[/C][C]-18864.559709458[/C][/ROW]
[ROW][C]91[/C][C]193339[/C][C]156276.979121034[/C][C]37062.0208789657[/C][/ROW]
[ROW][C]92[/C][C]80953[/C][C]98720.4876016009[/C][C]-17767.4876016009[/C][/ROW]
[ROW][C]93[/C][C]122774[/C][C]135209.690980872[/C][C]-12435.6909808725[/C][/ROW]
[ROW][C]94[/C][C]130585[/C][C]111257.225005209[/C][C]19327.7749947911[/C][/ROW]
[ROW][C]95[/C][C]112611[/C][C]101863.280911849[/C][C]10747.7190881508[/C][/ROW]
[ROW][C]96[/C][C]286468[/C][C]277057.522739165[/C][C]9410.47726083506[/C][/ROW]
[ROW][C]97[/C][C]241066[/C][C]223998.830299289[/C][C]17067.1697007111[/C][/ROW]
[ROW][C]98[/C][C]148446[/C][C]199885.721033954[/C][C]-51439.7210339541[/C][/ROW]
[ROW][C]99[/C][C]204713[/C][C]186173.067001919[/C][C]18539.9329980813[/C][/ROW]
[ROW][C]100[/C][C]182079[/C][C]174785.846054168[/C][C]7293.15394583247[/C][/ROW]
[ROW][C]101[/C][C]140344[/C][C]142625.392301033[/C][C]-2281.39230103316[/C][/ROW]
[ROW][C]102[/C][C]220516[/C][C]215725.817240266[/C][C]4790.18275973356[/C][/ROW]
[ROW][C]103[/C][C]243060[/C][C]210392.227999322[/C][C]32667.7720006779[/C][/ROW]
[ROW][C]104[/C][C]162765[/C][C]149798.332720406[/C][C]12966.6672795937[/C][/ROW]
[ROW][C]105[/C][C]182613[/C][C]176447.781089391[/C][C]6165.21891060859[/C][/ROW]
[ROW][C]106[/C][C]232138[/C][C]235152.397114757[/C][C]-3014.39711475683[/C][/ROW]
[ROW][C]107[/C][C]265318[/C][C]296978.455219228[/C][C]-31660.4552192275[/C][/ROW]
[ROW][C]108[/C][C]85574[/C][C]85293.5984227491[/C][C]280.4015772509[/C][/ROW]
[ROW][C]109[/C][C]310839[/C][C]301558.602517035[/C][C]9280.39748296477[/C][/ROW]
[ROW][C]110[/C][C]225060[/C][C]200792.120360617[/C][C]24267.8796393827[/C][/ROW]
[ROW][C]111[/C][C]232317[/C][C]249173.818867053[/C][C]-16856.8188670527[/C][/ROW]
[ROW][C]112[/C][C]144966[/C][C]152003.176493038[/C][C]-7037.17649303782[/C][/ROW]
[ROW][C]113[/C][C]43287[/C][C]52020.9612024494[/C][C]-8733.96120244944[/C][/ROW]
[ROW][C]114[/C][C]155754[/C][C]151312.137870754[/C][C]4441.86212924584[/C][/ROW]
[ROW][C]115[/C][C]164709[/C][C]179351.647644766[/C][C]-14642.6476447663[/C][/ROW]
[ROW][C]116[/C][C]201940[/C][C]211804.170434353[/C][C]-9864.1704343528[/C][/ROW]
[ROW][C]117[/C][C]235454[/C][C]230037.844869972[/C][C]5416.15513002769[/C][/ROW]
[ROW][C]118[/C][C]220801[/C][C]185256.375345173[/C][C]35544.6246548271[/C][/ROW]
[ROW][C]119[/C][C]99466[/C][C]161041.748535154[/C][C]-61575.7485351541[/C][/ROW]
[ROW][C]120[/C][C]92661[/C][C]100768.012645115[/C][C]-8107.01264511507[/C][/ROW]
[ROW][C]121[/C][C]133328[/C][C]131614.795929753[/C][C]1713.20407024702[/C][/ROW]
[ROW][C]122[/C][C]61361[/C][C]88541.1920417077[/C][C]-27180.1920417077[/C][/ROW]
[ROW][C]123[/C][C]125930[/C][C]154299.419160338[/C][C]-28369.4191603382[/C][/ROW]
[ROW][C]124[/C][C]100750[/C][C]138503.884178863[/C][C]-37753.8841788635[/C][/ROW]
[ROW][C]125[/C][C]224549[/C][C]200229.598865648[/C][C]24319.4011343521[/C][/ROW]
[ROW][C]126[/C][C]82316[/C][C]72654.7913747146[/C][C]9661.20862528542[/C][/ROW]
[ROW][C]127[/C][C]102010[/C][C]94747.9551728866[/C][C]7262.04482711337[/C][/ROW]
[ROW][C]128[/C][C]101523[/C][C]99468.1776439747[/C][C]2054.82235602529[/C][/ROW]
[ROW][C]129[/C][C]243511[/C][C]196620.658464305[/C][C]46890.3415356954[/C][/ROW]
[ROW][C]130[/C][C]22938[/C][C]18793.1546121729[/C][C]4144.84538782713[/C][/ROW]
[ROW][C]131[/C][C]41566[/C][C]40171.792492589[/C][C]1394.20750741105[/C][/ROW]
[ROW][C]132[/C][C]152474[/C][C]166021.25460175[/C][C]-13547.2546017496[/C][/ROW]
[ROW][C]133[/C][C]61857[/C][C]46994.0691414483[/C][C]14862.9308585517[/C][/ROW]
[ROW][C]134[/C][C]99923[/C][C]136595.923693835[/C][C]-36672.923693835[/C][/ROW]
[ROW][C]135[/C][C]132487[/C][C]136961.019541107[/C][C]-4474.01954110739[/C][/ROW]
[ROW][C]136[/C][C]317394[/C][C]324831.532785601[/C][C]-7437.53278560141[/C][/ROW]
[ROW][C]137[/C][C]21054[/C][C]19976.8483323738[/C][C]1077.15166762621[/C][/ROW]
[ROW][C]138[/C][C]209641[/C][C]197743.001843709[/C][C]11897.9981562914[/C][/ROW]
[ROW][C]139[/C][C]22648[/C][C]33014.2256364985[/C][C]-10366.2256364985[/C][/ROW]
[ROW][C]140[/C][C]31414[/C][C]33627.8823827912[/C][C]-2213.88238279119[/C][/ROW]
[ROW][C]141[/C][C]46698[/C][C]63920.2794353295[/C][C]-17222.2794353295[/C][/ROW]
[ROW][C]142[/C][C]131698[/C][C]142527.377493534[/C][C]-10829.3774935339[/C][/ROW]
[ROW][C]143[/C][C]91735[/C][C]75881.2727129623[/C][C]15853.7272870377[/C][/ROW]
[ROW][C]144[/C][C]244749[/C][C]278994.232002824[/C][C]-34245.2320028236[/C][/ROW]
[ROW][C]145[/C][C]184510[/C][C]154328.707581446[/C][C]30181.2924185541[/C][/ROW]
[ROW][C]146[/C][C]79863[/C][C]86824.2558530737[/C][C]-6961.25585307374[/C][/ROW]
[ROW][C]147[/C][C]128423[/C][C]102895.533700291[/C][C]25527.4662997093[/C][/ROW]
[ROW][C]148[/C][C]97839[/C][C]112610.359313577[/C][C]-14771.3593135771[/C][/ROW]
[ROW][C]149[/C][C]38214[/C][C]51847.4769901136[/C][C]-13633.4769901136[/C][/ROW]
[ROW][C]150[/C][C]151101[/C][C]146535.482525629[/C][C]4565.51747437131[/C][/ROW]
[ROW][C]151[/C][C]272458[/C][C]249606.385352225[/C][C]22851.614647775[/C][/ROW]
[ROW][C]152[/C][C]172494[/C][C]178578.965439968[/C][C]-6084.96543996823[/C][/ROW]
[ROW][C]153[/C][C]108043[/C][C]113765.866631723[/C][C]-5722.86663172288[/C][/ROW]
[ROW][C]154[/C][C]328107[/C][C]331934.748214107[/C][C]-3827.74821410705[/C][/ROW]
[ROW][C]155[/C][C]250579[/C][C]283104.763758377[/C][C]-32525.7637583768[/C][/ROW]
[ROW][C]156[/C][C]351067[/C][C]335190.389194946[/C][C]15876.6108050541[/C][/ROW]
[ROW][C]157[/C][C]158015[/C][C]156094.102588362[/C][C]1920.89741163766[/C][/ROW]
[ROW][C]158[/C][C]98866[/C][C]86337.9513755804[/C][C]12528.0486244196[/C][/ROW]
[ROW][C]159[/C][C]85439[/C][C]110255.40522083[/C][C]-24816.4052208303[/C][/ROW]
[ROW][C]160[/C][C]229242[/C][C]219799.944043535[/C][C]9442.05595646492[/C][/ROW]
[ROW][C]161[/C][C]351619[/C][C]353932.835651739[/C][C]-2313.83565173932[/C][/ROW]
[ROW][C]162[/C][C]84207[/C][C]73665.6331542639[/C][C]10541.3668457361[/C][/ROW]
[ROW][C]163[/C][C]120445[/C][C]122074.983076811[/C][C]-1629.98307681076[/C][/ROW]
[ROW][C]164[/C][C]324598[/C][C]304539.597533678[/C][C]20058.4024663224[/C][/ROW]
[ROW][C]165[/C][C]131069[/C][C]145483.808624074[/C][C]-14414.8086240741[/C][/ROW]
[ROW][C]166[/C][C]204271[/C][C]190086.492918121[/C][C]14184.507081879[/C][/ROW]
[ROW][C]167[/C][C]165543[/C][C]179125.053100581[/C][C]-13582.0531005815[/C][/ROW]
[ROW][C]168[/C][C]141722[/C][C]116646.650224326[/C][C]25075.3497756742[/C][/ROW]
[ROW][C]169[/C][C]116048[/C][C]114149.4698594[/C][C]1898.53014060044[/C][/ROW]
[ROW][C]170[/C][C]250047[/C][C]176837.232063014[/C][C]73209.7679369862[/C][/ROW]
[ROW][C]171[/C][C]299775[/C][C]291984.748759484[/C][C]7790.25124051643[/C][/ROW]
[ROW][C]172[/C][C]195838[/C][C]185954.118212931[/C][C]9883.88178706939[/C][/ROW]
[ROW][C]173[/C][C]173260[/C][C]127760.624323425[/C][C]45499.3756765749[/C][/ROW]
[ROW][C]174[/C][C]254488[/C][C]225354.487606156[/C][C]29133.5123938439[/C][/ROW]
[ROW][C]175[/C][C]104389[/C][C]143808.916584166[/C][C]-39419.9165841662[/C][/ROW]
[ROW][C]176[/C][C]136084[/C][C]138930.756588429[/C][C]-2846.75658842942[/C][/ROW]
[ROW][C]177[/C][C]199476[/C][C]225584.534996456[/C][C]-26108.5349964557[/C][/ROW]
[ROW][C]178[/C][C]92499[/C][C]79640.5683842668[/C][C]12858.4316157332[/C][/ROW]
[ROW][C]179[/C][C]224330[/C][C]224615.918204051[/C][C]-285.918204051393[/C][/ROW]
[ROW][C]180[/C][C]135781[/C][C]108896.491772207[/C][C]26884.5082277935[/C][/ROW]
[ROW][C]181[/C][C]74408[/C][C]85539.0165963443[/C][C]-11131.0165963443[/C][/ROW]
[ROW][C]182[/C][C]81240[/C][C]103538.22538483[/C][C]-22298.2253848303[/C][/ROW]
[ROW][C]183[/C][C]14688[/C][C]11093.874758553[/C][C]3594.12524144704[/C][/ROW]
[ROW][C]184[/C][C]181633[/C][C]169494.830817214[/C][C]12138.1691827856[/C][/ROW]
[ROW][C]185[/C][C]271856[/C][C]272829.388015057[/C][C]-973.388015056939[/C][/ROW]
[ROW][C]186[/C][C]7199[/C][C]7308.21924111242[/C][C]-109.219241112421[/C][/ROW]
[ROW][C]187[/C][C]46660[/C][C]50044.3131242657[/C][C]-3384.31312426573[/C][/ROW]
[ROW][C]188[/C][C]17547[/C][C]8861.86049970617[/C][C]8685.13950029383[/C][/ROW]
[ROW][C]189[/C][C]133368[/C][C]138689.806774873[/C][C]-5321.80677487333[/C][/ROW]
[ROW][C]190[/C][C]95227[/C][C]64241.7983457678[/C][C]30985.2016542322[/C][/ROW]
[ROW][C]191[/C][C]152601[/C][C]107286.266976763[/C][C]45314.7330232366[/C][/ROW]
[ROW][C]192[/C][C]98146[/C][C]96802.8599781217[/C][C]1343.14002187825[/C][/ROW]
[ROW][C]193[/C][C]79619[/C][C]89842.9770541719[/C][C]-10223.9770541719[/C][/ROW]
[ROW][C]194[/C][C]59194[/C][C]74455.4373773315[/C][C]-15261.4373773315[/C][/ROW]
[ROW][C]195[/C][C]139942[/C][C]161565.734550554[/C][C]-21623.734550554[/C][/ROW]
[ROW][C]196[/C][C]118612[/C][C]107402.591447433[/C][C]11209.4085525671[/C][/ROW]
[ROW][C]197[/C][C]72880[/C][C]87297.9281628999[/C][C]-14417.9281628999[/C][/ROW]
[ROW][C]198[/C][C]65475[/C][C]62054.9516005289[/C][C]3420.04839947106[/C][/ROW]
[ROW][C]199[/C][C]99643[/C][C]121821.491625639[/C][C]-22178.4916256392[/C][/ROW]
[ROW][C]200[/C][C]71965[/C][C]68946.5831145345[/C][C]3018.41688546554[/C][/ROW]
[ROW][C]201[/C][C]77272[/C][C]72250.6184015806[/C][C]5021.38159841941[/C][/ROW]
[ROW][C]202[/C][C]49289[/C][C]43033.8623421467[/C][C]6255.1376578533[/C][/ROW]
[ROW][C]203[/C][C]135131[/C][C]112548.003196284[/C][C]22582.9968037164[/C][/ROW]
[ROW][C]204[/C][C]108446[/C][C]113390.210800145[/C][C]-4944.21080014545[/C][/ROW]
[ROW][C]205[/C][C]89746[/C][C]113473.960494831[/C][C]-23727.960494831[/C][/ROW]
[ROW][C]206[/C][C]44296[/C][C]48103.0319937031[/C][C]-3807.03199370311[/C][/ROW]
[ROW][C]207[/C][C]77648[/C][C]73849.1941051104[/C][C]3798.80589488956[/C][/ROW]
[ROW][C]208[/C][C]181528[/C][C]149216.233611859[/C][C]32311.7663881405[/C][/ROW]
[ROW][C]209[/C][C]134019[/C][C]111587.555174868[/C][C]22431.4448251319[/C][/ROW]
[ROW][C]210[/C][C]124064[/C][C]128156.216010015[/C][C]-4092.21601001471[/C][/ROW]
[ROW][C]211[/C][C]92630[/C][C]93561.2539826949[/C][C]-931.253982694934[/C][/ROW]
[ROW][C]212[/C][C]121848[/C][C]90859.8475753144[/C][C]30988.1524246856[/C][/ROW]
[ROW][C]213[/C][C]52915[/C][C]52536.512941547[/C][C]378.48705845297[/C][/ROW]
[ROW][C]214[/C][C]81872[/C][C]84993.8924959995[/C][C]-3121.89249599955[/C][/ROW]
[ROW][C]215[/C][C]58981[/C][C]75542.0558679796[/C][C]-16561.0558679796[/C][/ROW]
[ROW][C]216[/C][C]53515[/C][C]68407.5068803562[/C][C]-14892.5068803562[/C][/ROW]
[ROW][C]217[/C][C]60812[/C][C]90855.8989999321[/C][C]-30043.8989999321[/C][/ROW]
[ROW][C]218[/C][C]56375[/C][C]64375.080886951[/C][C]-8000.08088695096[/C][/ROW]
[ROW][C]219[/C][C]65490[/C][C]72255.8190829443[/C][C]-6765.8190829443[/C][/ROW]
[ROW][C]220[/C][C]80949[/C][C]66661.8930081178[/C][C]14287.1069918822[/C][/ROW]
[ROW][C]221[/C][C]76302[/C][C]93547.0109746253[/C][C]-17245.0109746253[/C][/ROW]
[ROW][C]222[/C][C]104011[/C][C]149100.259706507[/C][C]-45089.2597065067[/C][/ROW]
[ROW][C]223[/C][C]98104[/C][C]139239.417102092[/C][C]-41135.4171020918[/C][/ROW]
[ROW][C]224[/C][C]67989[/C][C]72471.7820703279[/C][C]-4482.78207032786[/C][/ROW]
[ROW][C]225[/C][C]30989[/C][C]30016.3793882098[/C][C]972.620611790197[/C][/ROW]
[ROW][C]226[/C][C]135458[/C][C]133689.828295082[/C][C]1768.17170491785[/C][/ROW]
[ROW][C]227[/C][C]73504[/C][C]61534.7872446168[/C][C]11969.2127553832[/C][/ROW]
[ROW][C]228[/C][C]63123[/C][C]80247.9672329405[/C][C]-17124.9672329405[/C][/ROW]
[ROW][C]229[/C][C]61254[/C][C]67745.7495091243[/C][C]-6491.7495091243[/C][/ROW]
[ROW][C]230[/C][C]74914[/C][C]97756.9452305023[/C][C]-22842.9452305023[/C][/ROW]
[ROW][C]231[/C][C]31774[/C][C]42662.1129515687[/C][C]-10888.1129515687[/C][/ROW]
[ROW][C]232[/C][C]81437[/C][C]87294.5347913912[/C][C]-5857.53479139119[/C][/ROW]
[ROW][C]233[/C][C]87186[/C][C]134576.296785129[/C][C]-47390.2967851291[/C][/ROW]
[ROW][C]234[/C][C]50090[/C][C]56743.1297391208[/C][C]-6653.1297391208[/C][/ROW]
[ROW][C]235[/C][C]65745[/C][C]80248.6033070361[/C][C]-14503.6033070361[/C][/ROW]
[ROW][C]236[/C][C]56653[/C][C]56183.1258451602[/C][C]469.874154839818[/C][/ROW]
[ROW][C]237[/C][C]158399[/C][C]109637.153081317[/C][C]48761.8469186826[/C][/ROW]
[ROW][C]238[/C][C]46455[/C][C]59115.0475471644[/C][C]-12660.0475471644[/C][/ROW]
[ROW][C]239[/C][C]73624[/C][C]86057.0796865931[/C][C]-12433.0796865931[/C][/ROW]
[ROW][C]240[/C][C]38395[/C][C]51416.3689931581[/C][C]-13021.3689931581[/C][/ROW]
[ROW][C]241[/C][C]91899[/C][C]87057.1595282947[/C][C]4841.8404717053[/C][/ROW]
[ROW][C]242[/C][C]139526[/C][C]136362.295314421[/C][C]3163.70468557876[/C][/ROW]
[ROW][C]243[/C][C]52164[/C][C]59781.153441253[/C][C]-7617.15344125296[/C][/ROW]
[ROW][C]244[/C][C]51567[/C][C]53931.3690359151[/C][C]-2364.36903591514[/C][/ROW]
[ROW][C]245[/C][C]70551[/C][C]78306.6067830851[/C][C]-7755.60678308507[/C][/ROW]
[ROW][C]246[/C][C]84856[/C][C]94883.1495162465[/C][C]-10027.1495162465[/C][/ROW]
[ROW][C]247[/C][C]102538[/C][C]119532.868094543[/C][C]-16994.8680945431[/C][/ROW]
[ROW][C]248[/C][C]86678[/C][C]80065.7221285928[/C][C]6612.27787140725[/C][/ROW]
[ROW][C]249[/C][C]85709[/C][C]74006.6218939842[/C][C]11702.3781060158[/C][/ROW]
[ROW][C]250[/C][C]34662[/C][C]44268.3632274689[/C][C]-9606.36322746887[/C][/ROW]
[ROW][C]251[/C][C]150580[/C][C]147809.400321873[/C][C]2770.59967812749[/C][/ROW]
[ROW][C]252[/C][C]99611[/C][C]98120.2809695025[/C][C]1490.7190304975[/C][/ROW]
[ROW][C]253[/C][C]19349[/C][C]13795.4940233676[/C][C]5553.50597663242[/C][/ROW]
[ROW][C]254[/C][C]99373[/C][C]95214.2582586396[/C][C]4158.74174136039[/C][/ROW]
[ROW][C]255[/C][C]86230[/C][C]102368.568568475[/C][C]-16138.5685684746[/C][/ROW]
[ROW][C]256[/C][C]30837[/C][C]26489.482902248[/C][C]4347.51709775198[/C][/ROW]
[ROW][C]257[/C][C]31706[/C][C]40393.1821463401[/C][C]-8687.18214634008[/C][/ROW]
[ROW][C]258[/C][C]89806[/C][C]70350.8545255651[/C][C]19455.1454744349[/C][/ROW]
[ROW][C]259[/C][C]62088[/C][C]52490.6256965531[/C][C]9597.3743034469[/C][/ROW]
[ROW][C]260[/C][C]40151[/C][C]39415.817603829[/C][C]735.18239617102[/C][/ROW]
[ROW][C]261[/C][C]27634[/C][C]36339.1068747982[/C][C]-8705.10687479822[/C][/ROW]
[ROW][C]262[/C][C]76990[/C][C]76946.6760108617[/C][C]43.3239891383457[/C][/ROW]
[ROW][C]263[/C][C]37460[/C][C]23212.5629661762[/C][C]14247.4370338238[/C][/ROW]
[ROW][C]264[/C][C]54157[/C][C]53999.0592933834[/C][C]157.940706616617[/C][/ROW]
[ROW][C]265[/C][C]49862[/C][C]56612.7999654286[/C][C]-6750.79996542857[/C][/ROW]
[ROW][C]266[/C][C]84337[/C][C]81880.5376156721[/C][C]2456.46238432787[/C][/ROW]
[ROW][C]267[/C][C]64175[/C][C]78396.281079668[/C][C]-14221.281079668[/C][/ROW]
[ROW][C]268[/C][C]59382[/C][C]59416.1158334154[/C][C]-34.1158334153975[/C][/ROW]
[ROW][C]269[/C][C]119308[/C][C]87196.323731688[/C][C]32111.676268312[/C][/ROW]
[ROW][C]270[/C][C]76702[/C][C]85181.0406927394[/C][C]-8479.04069273938[/C][/ROW]
[ROW][C]271[/C][C]103425[/C][C]105234.437152645[/C][C]-1809.43715264514[/C][/ROW]
[ROW][C]272[/C][C]70344[/C][C]68765.0088405884[/C][C]1578.9911594116[/C][/ROW]
[ROW][C]273[/C][C]43410[/C][C]37702.2963027924[/C][C]5707.70369720762[/C][/ROW]
[ROW][C]274[/C][C]104838[/C][C]101081.698460104[/C][C]3756.30153989585[/C][/ROW]
[ROW][C]275[/C][C]62215[/C][C]53413.2800303626[/C][C]8801.71996963738[/C][/ROW]
[ROW][C]276[/C][C]69304[/C][C]71338.5317967782[/C][C]-2034.53179677824[/C][/ROW]
[ROW][C]277[/C][C]53117[/C][C]34331.8639499043[/C][C]18785.1360500957[/C][/ROW]
[ROW][C]278[/C][C]19764[/C][C]16275.9237605017[/C][C]3488.07623949828[/C][/ROW]
[ROW][C]279[/C][C]86680[/C][C]95835.9258807838[/C][C]-9155.92588078382[/C][/ROW]
[ROW][C]280[/C][C]84105[/C][C]72813.5590495682[/C][C]11291.4409504318[/C][/ROW]
[ROW][C]281[/C][C]77945[/C][C]76544.7644202033[/C][C]1400.23557979674[/C][/ROW]
[ROW][C]282[/C][C]89113[/C][C]59499.4050862632[/C][C]29613.5949137368[/C][/ROW]
[ROW][C]283[/C][C]91005[/C][C]81081.5034533437[/C][C]9923.49654665628[/C][/ROW]
[ROW][C]284[/C][C]40248[/C][C]29734.2150293676[/C][C]10513.7849706324[/C][/ROW]
[ROW][C]285[/C][C]64187[/C][C]60164.2109877749[/C][C]4022.78901222512[/C][/ROW]
[ROW][C]286[/C][C]50857[/C][C]46181.6908884017[/C][C]4675.30911159828[/C][/ROW]
[ROW][C]287[/C][C]56613[/C][C]49674.1695119397[/C][C]6938.83048806027[/C][/ROW]
[ROW][C]288[/C][C]62792[/C][C]68170.6240182375[/C][C]-5378.62401823747[/C][/ROW]
[ROW][C]289[/C][C]72535[/C][C]83518.7371105089[/C][C]-10983.7371105089[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=190422&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=190422&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	188382.912018139	22524.0879818609
2	120982	140031.185900913	-19049.1859009135
3	176508	167608.904982993	8899.09501700716
4	179321	219175.429866732	-39854.429866732
5	123185	109978.144498843	13206.855501157
6	52746	64730.1495984146	-11984.1495984146
7	385534	370737.076878422	14796.9231215782
8	33170	24743.0763752846	8426.92362471541
9	101645	79080.9455059078	22564.0544940922
10	149061	165559.808345766	-16498.8083457657
11	165446	145833.364874836	19612.6351251641
12	237213	239318.989050672	-2105.98905067229
13	173326	166799.622577136	6526.37742286387
14	133131	135581.820887597	-2450.82088759704
15	258873	217627.708604914	41245.2913950858
16	180083	171906.077917305	8176.92208269533
17	324799	367713.47444227	-42914.4744422702
18	230964	205514.478188411	25449.5218115893
19	236785	228109.103013263	8675.89698673722
20	135473	131791.816120253	3681.18387974706
21	202925	195418.64418662	7506.35581337973
22	215147	198264.39741633	16882.6025836696
23	344297	256283.729896463	88013.270103537
24	153935	145217.892929237	8717.1070707626
25	132943	153880.19821162	-20937.19821162
26	174724	225386.537881958	-50662.5378819578
27	174415	211045.661153135	-36630.6611531347
28	225548	254786.264515537	-29238.2645155373
29	223632	205342.891199847	18289.1088001534
30	124817	127227.623989714	-2410.62398971413
31	221698	267426.672438809	-45728.6724388086
32	210767	218563.157909463	-7796.15790946266
33	170266	174529.742516578	-4263.74251657764
34	260561	255099.626302936	5461.37369706431
35	84853	83960.6934504542	892.306549545773
36	294424	290865.173808857	3558.82619114292
37	101011	94197.9670003072	6813.03299969279
38	215641	206791.249034795	8849.75096520466
39	325107	287886.152539466	37220.8474605336
40	7176	4221.86088711659	2954.13911288341
41	167542	156257.98608386	11284.0139161401
42	106408	82045.8470549711	24362.1529450289
43	96560	106529.247081051	-9969.24708105128
44	265769	269402.05931761	-3633.0593176103
45	269651	279856.670329323	-10205.6703293227
46	149112	149575.892356065	-463.892356064737
47	175824	187340.669942367	-11516.6699423674
48	152871	169580.956848147	-16709.9568481468
49	111665	100216.104555705	11448.8954442951
50	116408	169795.110278022	-53387.1102780225
51	362301	321835.839327453	40465.1606725473
52	78800	102900.010773341	-24100.0107733408
53	183167	186771.427574318	-3604.42757431771
54	277965	322425.521710742	-44460.521710742
55	150629	188275.98068519	-37646.98068519
56	168809	190907.814367726	-22098.8143677259
57	24188	36434.5348570281	-12246.5348570281
58	329267	296994.654064308	32272.3459356925
59	65029	64447.8605518043	581.139448195671
60	101097	109861.512187938	-8764.51218793808
61	218946	209169.459304853	9776.54069514701
62	244052	241065.212892107	2986.7871078925
63	341570	335779.066947501	5790.93305249897
64	103597	98366.1699461304	5230.83005386961
65	233328	265662.148671595	-32334.1486715951
66	256462	271612.073997761	-15150.0739977606
67	206161	157940.149937736	48220.8500622638
68	311473	323549.164384632	-12076.1643846317
69	235800	264199.576564521	-28399.5765645214
70	177939	204635.910905779	-26696.910905779
71	207176	194741.285183222	12434.7148167782
72	196553	181401.732081194	15151.2679188061
73	174184	164702.472912006	9481.52708799399
74	143246	147472.956745858	-4226.95674585791
75	187559	220730.372530622	-33171.3725306215
76	187681	180634.960376754	7046.03962324622
77	119016	134287.523366104	-15271.5233661044
78	182192	194530.445374275	-12338.445374275
79	73566	88192.717253352	-14626.717253352
80	194979	192152.856618115	2826.14338188503
81	167488	156529.647394237	10958.3526057628
82	143756	153289.764483657	-9533.76448365672
83	275541	205341.85579577	70199.1442042304
84	243199	227129.477166665	16069.5228333353
85	182999	183867.225063219	-868.225063218671
86	135649	140684.069747546	-5035.06974754557
87	152299	150010.145197523	2288.85480247727
88	120221	132298.503296339	-12077.5032963387
89	346485	271212.69412957	75272.30587043
90	145790	164654.559709458	-18864.559709458
91	193339	156276.979121034	37062.0208789657
92	80953	98720.4876016009	-17767.4876016009
93	122774	135209.690980872	-12435.6909808725
94	130585	111257.225005209	19327.7749947911
95	112611	101863.280911849	10747.7190881508
96	286468	277057.522739165	9410.47726083506
97	241066	223998.830299289	17067.1697007111
98	148446	199885.721033954	-51439.7210339541
99	204713	186173.067001919	18539.9329980813
100	182079	174785.846054168	7293.15394583247
101	140344	142625.392301033	-2281.39230103316
102	220516	215725.817240266	4790.18275973356
103	243060	210392.227999322	32667.7720006779
104	162765	149798.332720406	12966.6672795937
105	182613	176447.781089391	6165.21891060859
106	232138	235152.397114757	-3014.39711475683
107	265318	296978.455219228	-31660.4552192275
108	85574	85293.5984227491	280.4015772509
109	310839	301558.602517035	9280.39748296477
110	225060	200792.120360617	24267.8796393827
111	232317	249173.818867053	-16856.8188670527
112	144966	152003.176493038	-7037.17649303782
113	43287	52020.9612024494	-8733.96120244944
114	155754	151312.137870754	4441.86212924584
115	164709	179351.647644766	-14642.6476447663
116	201940	211804.170434353	-9864.1704343528
117	235454	230037.844869972	5416.15513002769
118	220801	185256.375345173	35544.6246548271
119	99466	161041.748535154	-61575.7485351541
120	92661	100768.012645115	-8107.01264511507
121	133328	131614.795929753	1713.20407024702
122	61361	88541.1920417077	-27180.1920417077
123	125930	154299.419160338	-28369.4191603382
124	100750	138503.884178863	-37753.8841788635
125	224549	200229.598865648	24319.4011343521
126	82316	72654.7913747146	9661.20862528542
127	102010	94747.9551728866	7262.04482711337
128	101523	99468.1776439747	2054.82235602529
129	243511	196620.658464305	46890.3415356954
130	22938	18793.1546121729	4144.84538782713
131	41566	40171.792492589	1394.20750741105
132	152474	166021.25460175	-13547.2546017496
133	61857	46994.0691414483	14862.9308585517
134	99923	136595.923693835	-36672.923693835
135	132487	136961.019541107	-4474.01954110739
136	317394	324831.532785601	-7437.53278560141
137	21054	19976.8483323738	1077.15166762621
138	209641	197743.001843709	11897.9981562914
139	22648	33014.2256364985	-10366.2256364985
140	31414	33627.8823827912	-2213.88238279119
141	46698	63920.2794353295	-17222.2794353295
142	131698	142527.377493534	-10829.3774935339
143	91735	75881.2727129623	15853.7272870377
144	244749	278994.232002824	-34245.2320028236
145	184510	154328.707581446	30181.2924185541
146	79863	86824.2558530737	-6961.25585307374
147	128423	102895.533700291	25527.4662997093
148	97839	112610.359313577	-14771.3593135771
149	38214	51847.4769901136	-13633.4769901136
150	151101	146535.482525629	4565.51747437131
151	272458	249606.385352225	22851.614647775
152	172494	178578.965439968	-6084.96543996823
153	108043	113765.866631723	-5722.86663172288
154	328107	331934.748214107	-3827.74821410705
155	250579	283104.763758377	-32525.7637583768
156	351067	335190.389194946	15876.6108050541
157	158015	156094.102588362	1920.89741163766
158	98866	86337.9513755804	12528.0486244196
159	85439	110255.40522083	-24816.4052208303
160	229242	219799.944043535	9442.05595646492
161	351619	353932.835651739	-2313.83565173932
162	84207	73665.6331542639	10541.3668457361
163	120445	122074.983076811	-1629.98307681076
164	324598	304539.597533678	20058.4024663224
165	131069	145483.808624074	-14414.8086240741
166	204271	190086.492918121	14184.507081879
167	165543	179125.053100581	-13582.0531005815
168	141722	116646.650224326	25075.3497756742
169	116048	114149.4698594	1898.53014060044
170	250047	176837.232063014	73209.7679369862
171	299775	291984.748759484	7790.25124051643
172	195838	185954.118212931	9883.88178706939
173	173260	127760.624323425	45499.3756765749
174	254488	225354.487606156	29133.5123938439
175	104389	143808.916584166	-39419.9165841662
176	136084	138930.756588429	-2846.75658842942
177	199476	225584.534996456	-26108.5349964557
178	92499	79640.5683842668	12858.4316157332
179	224330	224615.918204051	-285.918204051393
180	135781	108896.491772207	26884.5082277935
181	74408	85539.0165963443	-11131.0165963443
182	81240	103538.22538483	-22298.2253848303
183	14688	11093.874758553	3594.12524144704
184	181633	169494.830817214	12138.1691827856
185	271856	272829.388015057	-973.388015056939
186	7199	7308.21924111242	-109.219241112421
187	46660	50044.3131242657	-3384.31312426573
188	17547	8861.86049970617	8685.13950029383
189	133368	138689.806774873	-5321.80677487333
190	95227	64241.7983457678	30985.2016542322
191	152601	107286.266976763	45314.7330232366
192	98146	96802.8599781217	1343.14002187825
193	79619	89842.9770541719	-10223.9770541719
194	59194	74455.4373773315	-15261.4373773315
195	139942	161565.734550554	-21623.734550554
196	118612	107402.591447433	11209.4085525671
197	72880	87297.9281628999	-14417.9281628999
198	65475	62054.9516005289	3420.04839947106
199	99643	121821.491625639	-22178.4916256392
200	71965	68946.5831145345	3018.41688546554
201	77272	72250.6184015806	5021.38159841941
202	49289	43033.8623421467	6255.1376578533
203	135131	112548.003196284	22582.9968037164
204	108446	113390.210800145	-4944.21080014545
205	89746	113473.960494831	-23727.960494831
206	44296	48103.0319937031	-3807.03199370311
207	77648	73849.1941051104	3798.80589488956
208	181528	149216.233611859	32311.7663881405
209	134019	111587.555174868	22431.4448251319
210	124064	128156.216010015	-4092.21601001471
211	92630	93561.2539826949	-931.253982694934
212	121848	90859.8475753144	30988.1524246856
213	52915	52536.512941547	378.48705845297
214	81872	84993.8924959995	-3121.89249599955
215	58981	75542.0558679796	-16561.0558679796
216	53515	68407.5068803562	-14892.5068803562
217	60812	90855.8989999321	-30043.8989999321
218	56375	64375.080886951	-8000.08088695096
219	65490	72255.8190829443	-6765.8190829443
220	80949	66661.8930081178	14287.1069918822
221	76302	93547.0109746253	-17245.0109746253
222	104011	149100.259706507	-45089.2597065067
223	98104	139239.417102092	-41135.4171020918
224	67989	72471.7820703279	-4482.78207032786
225	30989	30016.3793882098	972.620611790197
226	135458	133689.828295082	1768.17170491785
227	73504	61534.7872446168	11969.2127553832
228	63123	80247.9672329405	-17124.9672329405
229	61254	67745.7495091243	-6491.7495091243
230	74914	97756.9452305023	-22842.9452305023
231	31774	42662.1129515687	-10888.1129515687
232	81437	87294.5347913912	-5857.53479139119
233	87186	134576.296785129	-47390.2967851291
234	50090	56743.1297391208	-6653.1297391208
235	65745	80248.6033070361	-14503.6033070361
236	56653	56183.1258451602	469.874154839818
237	158399	109637.153081317	48761.8469186826
238	46455	59115.0475471644	-12660.0475471644
239	73624	86057.0796865931	-12433.0796865931
240	38395	51416.3689931581	-13021.3689931581
241	91899	87057.1595282947	4841.8404717053
242	139526	136362.295314421	3163.70468557876
243	52164	59781.153441253	-7617.15344125296
244	51567	53931.3690359151	-2364.36903591514
245	70551	78306.6067830851	-7755.60678308507
246	84856	94883.1495162465	-10027.1495162465
247	102538	119532.868094543	-16994.8680945431
248	86678	80065.7221285928	6612.27787140725
249	85709	74006.6218939842	11702.3781060158
250	34662	44268.3632274689	-9606.36322746887
251	150580	147809.400321873	2770.59967812749
252	99611	98120.2809695025	1490.7190304975
253	19349	13795.4940233676	5553.50597663242
254	99373	95214.2582586396	4158.74174136039
255	86230	102368.568568475	-16138.5685684746
256	30837	26489.482902248	4347.51709775198
257	31706	40393.1821463401	-8687.18214634008
258	89806	70350.8545255651	19455.1454744349
259	62088	52490.6256965531	9597.3743034469
260	40151	39415.817603829	735.18239617102
261	27634	36339.1068747982	-8705.10687479822
262	76990	76946.6760108617	43.3239891383457
263	37460	23212.5629661762	14247.4370338238
264	54157	53999.0592933834	157.940706616617
265	49862	56612.7999654286	-6750.79996542857
266	84337	81880.5376156721	2456.46238432787
267	64175	78396.281079668	-14221.281079668
268	59382	59416.1158334154	-34.1158334153975
269	119308	87196.323731688	32111.676268312
270	76702	85181.0406927394	-8479.04069273938
271	103425	105234.437152645	-1809.43715264514
272	70344	68765.0088405884	1578.9911594116
273	43410	37702.2963027924	5707.70369720762
274	104838	101081.698460104	3756.30153989585
275	62215	53413.2800303626	8801.71996963738
276	69304	71338.5317967782	-2034.53179677824
277	53117	34331.8639499043	18785.1360500957
278	19764	16275.9237605017	3488.07623949828
279	86680	95835.9258807838	-9155.92588078382
280	84105	72813.5590495682	11291.4409504318
281	77945	76544.7644202033	1400.23557979674
282	89113	59499.4050862632	29613.5949137368
283	91005	81081.5034533437	9923.49654665628
284	40248	29734.2150293676	10513.7849706324
285	64187	60164.2109877749	4022.78901222512
286	50857	46181.6908884017	4675.30911159828
287	56613	49674.1695119397	6938.83048806027
288	62792	68170.6240182375	-5378.62401823747
289	72535	83518.7371105089	-10983.7371105089

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
19	0.594593020760015	0.810813958479969	0.405406979239985
20	0.692830668908679	0.614338662182643	0.307169331091321
21	0.672313399644728	0.655373200710543	0.327686600355272
22	0.629366726004467	0.741266547991066	0.370633273995533
23	0.676100737423335	0.647798525153331	0.323899262576665
24	0.72593278588076	0.54813442823848	0.27406721411924
25	0.924781871550008	0.150436256899984	0.0752181284499919
26	0.964867536517605	0.0702649269647891	0.0351324634823946
27	0.971967492770797	0.0560650144584054	0.0280325072292027
28	0.974899489273997	0.0502010214520069	0.0251005107260035
29	0.970153104501624	0.0596937909967528	0.0298468954983764
30	0.96046594696381	0.0790681060723809	0.0395340530361904
31	0.98412323177098	0.0317535364580407	0.0158767682290203
32	0.977600104979279	0.0447997900414417	0.0223998950207208
33	0.96749733073405	0.0650053385318993	0.0325026692659497
34	0.955182516281981	0.0896349674360378	0.0448174837180189
35	0.937735588464745	0.124528823070511	0.0622644115352554
36	0.922696675073101	0.154606649853798	0.0773033249268991
37	0.898252107395163	0.203495785209674	0.101747892604837
38	0.869428343195552	0.261143313608896	0.130571656804448
39	0.915238424113315	0.169523151773371	0.0847615758866854
40	0.927277186793387	0.145445626413226	0.072722813206613
41	0.910629850887761	0.178740298224477	0.0893701491122386
42	0.891614806670838	0.216770386658324	0.108385193329162
43	0.863588005253797	0.272823989492405	0.136411994746203
44	0.832700800733606	0.334598398532789	0.167299199266394
45	0.849337254673386	0.301325490653229	0.150662745326614
46	0.827748062430665	0.344503875138669	0.172251937569335
47	0.795075691022549	0.409848617954902	0.204924308977451
48	0.759170076464822	0.481659847070357	0.240829923535178
49	0.729158333523846	0.541683332952308	0.270841666476154
50	0.886664087053612	0.226671825892776	0.113335912946388
51	0.989696291252087	0.0206074174958268	0.0103037087479134
52	0.989167423531607	0.0216651529367865	0.0108325764683933
53	0.986396350208566	0.0272072995828683	0.0136036497914341
54	0.995341966173559	0.009316067652882	0.004658033826441
55	0.996930547020907	0.00613890595818521	0.0030694529790926
56	0.996321641858496	0.00735671628300743	0.00367835814150372
57	0.995189056542643	0.00962188691471321	0.00481094345735661
58	0.99712033386642	0.00575933226715992	0.00287966613357996
59	0.996120718387549	0.0077585632249029	0.00387928161245145
60	0.994874402132586	0.0102511957348287	0.00512559786741436
61	0.994309738162014	0.0113805236759713	0.00569026183798563
62	0.993317051506152	0.0133658969876966	0.00668294849384832
63	0.991002337539815	0.0179953249203703	0.00899766246018517
64	0.988345832701137	0.0233083345977269	0.0116541672988635
65	0.994138077048979	0.0117238459020417	0.00586192295102083
66	0.992888838033729	0.0142223239325418	0.00711116196627091
67	0.998546271824656	0.00290745635068803	0.00145372817534402
68	0.998080621356253	0.00383875728749401	0.00191937864374701
69	0.99787903184712	0.0042419363057598	0.0021209681528799
70	0.997626019507695	0.00474796098460957	0.00237398049230479
71	0.997247016001448	0.00550596799710377	0.00275298399855189
72	0.997005954386174	0.00598809122765148	0.00299404561382574
73	0.99652498694184	0.00695002611631954	0.00347501305815977
74	0.995359514272038	0.00928097145592315	0.00464048572796157
75	0.996533750836885	0.00693249832623062	0.00346624916311531
76	0.996215536401082	0.00756892719783613	0.00378446359891806
77	0.995203582119217	0.009592835761565	0.0047964178807825
78	0.994088078542219	0.011823842915561	0.00591192145778052
79	0.992968844920437	0.0140623101591259	0.00703115507956294
80	0.99091391246394	0.0181721750721209	0.00908608753606043
81	0.990584967868052	0.0188300642638965	0.00941503213194823
82	0.987883376017225	0.0242332479655498	0.0121166239827749
83	0.999411500083928	0.00117699983214442	0.000588499916072208
84	0.99928824530938	0.00142350938123946	0.000711754690619728
85	0.999016200810908	0.00196759837818303	0.000983799189091515
86	0.998653151699592	0.00269369660081509	0.00134684830040755
87	0.998199677364901	0.00360064527019869	0.00180032263509935
88	0.997779998951359	0.00444000209728095	0.00222000104864048
89	0.999953952929566	9.20941408688094e-05	4.60470704344047e-05
90	0.999955967752844	8.80644943111349e-05	4.40322471555674e-05
91	0.999975335935799	4.93281284013339e-05	2.4664064200667e-05
92	0.9999741619117	5.1676176600342e-05	2.5838088300171e-05
93	0.99996502604007	6.99479198595474e-05	3.49739599297737e-05
94	0.999961437997401	7.71240051973216e-05	3.85620025986608e-05
95	0.999947801327233	0.000104397345533013	5.21986727665066e-05
96	0.999939280931408	0.000121438137183366	6.07190685916831e-05
97	0.999920537654183	0.000158924691634124	7.94623458170618e-05
98	0.99998657273139	2.68545372206399e-05	1.34272686103199e-05
99	0.999983223334136	3.35533317286242e-05	1.67766658643121e-05
100	0.999976719395905	4.65612081894552e-05	2.32806040947276e-05
101	0.99996624043166	6.75191366795551e-05	3.37595683397775e-05
102	0.999950967999071	9.80640018589557e-05	4.90320009294778e-05
103	0.999973639799607	5.2720400785481e-05	2.63602003927405e-05
104	0.999966745614535	6.65087709299978e-05	3.32543854649989e-05
105	0.999952292546159	9.54149076824445e-05	4.77074538412223e-05
106	0.999938905438326	0.000122189123347212	6.10945616736059e-05
107	0.999970903028291	5.81939434174198e-05	2.90969717087099e-05
108	0.999957588017049	8.48239659016596e-05	4.24119829508298e-05
109	0.999943290909924	0.000113418180151855	5.67090900759273e-05
110	0.999941358038292	0.000117283923416628	5.86419617083139e-05
111	0.999940244492236	0.00011951101552799	5.97555077639951e-05
112	0.99991885574504	0.00016228850992022	8.11442549601101e-05
113	0.999890135278355	0.000219729443289944	0.000109864721644972
114	0.999846650393191	0.000306699213617282	0.000153349606808641
115	0.999816699404115	0.000366601191769534	0.000183300595884767
116	0.999758420453428	0.000483159093143999	0.000241579546571999
117	0.999665131710412	0.000669736579176656	0.000334868289588328
118	0.999825698875726	0.000348602248547546	0.000174301124273773
119	0.999979684082035	4.06318359296707e-05	2.03159179648354e-05
120	0.999973748046994	5.2503906011444e-05	2.6251953005722e-05
121	0.999962159270023	7.5681459954865e-05	3.78407299774325e-05
122	0.999975722701708	4.85545965832548e-05	2.42772982916274e-05
123	0.999977603399401	4.47932011989132e-05	2.23966005994566e-05
124	0.999987150202957	2.56995940868763e-05	1.28497970434382e-05
125	0.999987601099054	2.47978018916948e-05	1.23989009458474e-05
126	0.999983180481834	3.36390363312862e-05	1.68195181656431e-05
127	0.999976715592339	4.65688153215205e-05	2.32844076607603e-05
128	0.99996716344575	6.5673108500689e-05	3.28365542503445e-05
129	0.999991841946827	1.63161063464907e-05	8.15805317324537e-06
130	0.999987985535565	2.40289288700123e-05	1.20144644350061e-05
131	0.999982373991336	3.52520173276134e-05	1.76260086638067e-05
132	0.999977937323158	4.41253536837391e-05	2.20626768418695e-05
133	0.999971173387192	5.76532256156337e-05	2.88266128078168e-05
134	0.999983850328798	3.22993424047428e-05	1.61496712023714e-05
135	0.999978968744298	4.20625114044482e-05	2.10312557022241e-05
136	0.99997236999514	5.52600097190058e-05	2.76300048595029e-05
137	0.999959885056357	8.02298872864152e-05	4.01149436432076e-05
138	0.999948206680375	0.000103586639250954	5.1793319625477e-05
139	0.999939030944206	0.00012193811158779	6.09690557938949e-05
140	0.999913972507194	0.000172054985612631	8.60274928063155e-05
141	0.999903283031769	0.000193433936462647	9.67169682313234e-05
142	0.999872525660928	0.000254948678143934	0.000127474339071967
143	0.999870611469424	0.000258777061151417	0.000129388530575709
144	0.99993069814101	0.000138603717980659	6.93018589903297e-05
145	0.999953249924151	9.35001516978792e-05	4.67500758489396e-05
146	0.999939419528864	0.000121160942271571	6.05804711357855e-05
147	0.999961426975452	7.71460490951045e-05	3.85730245475522e-05
148	0.999956309860543	8.73802789145381e-05	4.36901394572691e-05
149	0.999947618954995	0.000104762090010145	5.23810450050724e-05
150	0.999927417111828	0.000145165776343396	7.25828881716978e-05
151	0.999939827305706	0.0001203453885884	6.01726942941998e-05
152	0.999918842791578	0.000162314416843576	8.1157208421788e-05
153	0.99989736024345	0.000205279513100937	0.000102639756550468
154	0.999855168411415	0.000289663177170958	0.000144831588585479
155	0.999911499396818	0.000177001206363496	8.85006031817481e-05
156	0.999889224795292	0.0002215504094164	0.0001107752047082
157	0.999845175981934	0.000309648036131623	0.000154824018065811
158	0.999863277563834	0.000273444872331385	0.000136722436165693
159	0.999894079278667	0.000211841442665432	0.000105920721332716
160	0.999861846372065	0.000276307255869809	0.000138153627934905
161	0.999812560213338	0.000374879573323402	0.000187439786661701
162	0.999796941117771	0.000406117764457791	0.000203058882228896
163	0.999785935223891	0.00042812955221866	0.00021406477610933
164	0.999791520250502	0.000416959498995797	0.000208479749497899
165	0.999777391216014	0.000445217567972731	0.000222608783986365
166	0.999774633101669	0.000450733796662708	0.000225366898331354
167	0.999707479555854	0.000585040888291335	0.000292520444145668
168	0.999699549358706	0.000600901282588716	0.000300450641294358
169	0.999609077915649	0.000781844168702457	0.000390922084351229
170	0.999988061190729	2.38776185425169e-05	1.19388092712584e-05
171	0.999983856950013	3.22860999738946e-05	1.61430499869473e-05
172	0.999983087738816	3.382452236762e-05	1.691226118381e-05
173	0.999995124671057	9.75065788519745e-06	4.87532894259873e-06
174	0.999998898067327	2.2038653455958e-06	1.1019326727979e-06
175	0.999999163259206	1.67348158749621e-06	8.36740793748106e-07
176	0.999998778610734	2.44277853226513e-06	1.22138926613257e-06
177	0.999998753738419	2.492523161588e-06	1.246261580794e-06
178	0.999998555619266	2.88876146859296e-06	1.44438073429648e-06
179	0.999997845139233	4.30972153409266e-06	2.15486076704633e-06
180	0.999998320048787	3.35990242537601e-06	1.67995121268801e-06
181	0.999997550848342	4.89830331620997e-06	2.44915165810498e-06
182	0.999998364643275	3.27071344977065e-06	1.63535672488532e-06
183	0.999997386504903	5.22699019316819e-06	2.6134950965841e-06
184	0.999997090516419	5.81896716180353e-06	2.90948358090177e-06
185	0.999996570480313	6.85903937381476e-06	3.42951968690738e-06
186	0.999994874049985	1.02519000291869e-05	5.12595001459344e-06
187	0.999993180864291	1.36382714172337e-05	6.81913570861685e-06
188	0.999989471695383	2.10566092333448e-05	1.05283046166724e-05
189	0.99998561710417	2.87657916608104e-05	1.43828958304052e-05
190	0.999988701809705	2.25963805894531e-05	1.12981902947266e-05
191	0.999999658072952	6.83854095892214e-07	3.41927047946107e-07
192	0.999999427896679	1.14420664147003e-06	5.72103320735016e-07
193	0.999999090652127	1.818695745276e-06	9.09347872637999e-07
194	0.999998660151921	2.67969615835487e-06	1.33984807917744e-06
195	0.999998621588789	2.75682242206057e-06	1.37841121103029e-06
196	0.999998785618995	2.4287620091319e-06	1.21438100456595e-06
197	0.999998459913327	3.08017334656272e-06	1.54008667328136e-06
198	0.999997720653588	4.55869282416566e-06	2.27934641208283e-06
199	0.999997712581793	4.57483641389853e-06	2.28741820694926e-06
200	0.999996926327663	6.14734467309125e-06	3.07367233654563e-06
201	0.999995862162595	8.27567481074683e-06	4.13783740537341e-06
202	0.999993732754066	1.25344918688693e-05	6.26724593443466e-06
203	0.999993742967905	1.25140641907748e-05	6.25703209538742e-06
204	0.999989937077376	2.01258452471781e-05	1.00629226235891e-05
205	0.999985789633256	2.84207334875934e-05	1.42103667437967e-05
206	0.999977374319741	4.52513605182462e-05	2.26256802591231e-05
207	0.999966894523548	6.62109529039472e-05	3.31054764519736e-05
208	0.999993592419759	1.28151604810939e-05	6.40758024054696e-06
209	0.999997436312542	5.12737491590134e-06	2.56368745795067e-06
210	0.999995706364515	8.58727097033953e-06	4.29363548516976e-06
211	0.999994407465988	1.11850680245223e-05	5.59253401226117e-06
212	0.999999523067191	9.53865618059337e-07	4.76932809029668e-07
213	0.999999369660748	1.2606785032304e-06	6.30339251615201e-07
214	0.999998883969348	2.23206130391595e-06	1.11603065195797e-06
215	0.999998226886286	3.54622742870211e-06	1.77311371435106e-06
216	0.999997048906705	5.90218659072138e-06	2.95109329536069e-06
217	0.999998026514747	3.94697050558333e-06	1.97348525279166e-06
218	0.999996629176544	6.74164691181987e-06	3.37082345590994e-06
219	0.999994160914116	1.16781717682763e-05	5.83908588413813e-06
220	0.99999426526163	1.14694767402423e-05	5.73473837012116e-06
221	0.999990590717709	1.88185645810856e-05	9.40928229054279e-06
222	0.999995838706796	8.3225864074594e-06	4.1612932037297e-06
223	0.999996047909443	7.90418111343617e-06	3.95209055671809e-06
224	0.999993173675466	1.36526490686893e-05	6.82632453434464e-06
225	0.9999885620105	2.2875979000941e-05	1.14379895004705e-05
226	0.999985561276043	2.88774479146523e-05	1.44387239573262e-05
227	0.999984499274164	3.10014516710551e-05	1.55007258355276e-05
228	0.999974151057864	5.16978842718952e-05	2.58489421359476e-05
229	0.999962887462617	7.42250747655892e-05	3.71125373827946e-05
230	0.999966185562916	6.76288741686925e-05	3.38144370843463e-05
231	0.999952896137905	9.42077241891582e-05	4.71038620945791e-05
232	0.99991865267469	0.000162694650620022	8.1347325310011e-05
233	0.99999945496679	1.09006642096382e-06	5.45033210481912e-07
234	0.99999889321445	2.21357110026039e-06	1.10678555013019e-06
235	0.999997857470213	4.28505957399656e-06	2.14252978699828e-06
236	0.99999601981295	7.96037409981266e-06	3.98018704990633e-06
237	0.999999997312288	5.37542398331824e-09	2.68771199165912e-09
238	0.99999999342271	1.31545793214612e-08	6.57728966073061e-09
239	0.999999983511863	3.29762737654597e-08	1.64881368827298e-08
240	0.999999959296411	8.14071788651796e-08	4.07035894325898e-08
241	0.999999937403776	1.25192448828107e-07	6.25962244140533e-08
242	0.999999875127471	2.49745058683276e-07	1.24872529341638e-07
243	0.999999709401345	5.81197309720654e-07	2.90598654860327e-07
244	0.999999333450207	1.33309958593746e-06	6.66549792968728e-07
245	0.999998452479815	3.09504037037232e-06	1.54752018518616e-06
246	0.99999644408564	7.1118287209064e-06	3.5559143604532e-06
247	0.999996175311333	7.64937733402286e-06	3.82468866701143e-06
248	0.999991562402961	1.68751940780138e-05	8.43759703900688e-06
249	0.999990467315029	1.90653699409587e-05	9.53268497047933e-06
250	0.999981411720064	3.71765598724574e-05	1.85882799362287e-05
251	0.999967918571402	6.4162857196253e-05	3.20814285981265e-05
252	0.999930608359855	0.0001387832802898	6.93916401449002e-05
253	0.999850976325919	0.000298047348161534	0.000149023674080767
254	0.99967819126002	0.000643617479959387	0.000321808739979694
255	0.999626401919967	0.00074719616006616	0.00037359808003308
256	0.9992255439731	0.00154891205379899	0.000774456026899497
257	0.998851630933329	0.0022967381333429	0.00114836906667145
258	0.999203743027374	0.00159251394525213	0.000796256972626067
259	0.998336424542361	0.00332715091527831	0.00166357545763915
260	0.997104376842739	0.00579124631452277	0.00289562315726139
261	0.995021066705766	0.00995786658846749	0.00497893329423375
262	0.990049349381057	0.0199013012378862	0.00995065061894308
263	0.985599554526233	0.0288008909475342	0.0144004454737671
264	0.990674279547361	0.0186514409052783	0.00932572045263917
265	0.980353466457816	0.0392930670843684	0.0196465335421842
266	0.977367562765356	0.0452648744692888	0.0226324372346444
267	0.950134831374689	0.0997303372506229	0.0498651686253114
268	0.906621540974488	0.186756918051023	0.0933784590255117
269	0.998412636988565	0.00317472602286935	0.00158736301143468
270	0.997928000770061	0.0041439984598777	0.00207199922993885

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
19 & 0.594593020760015 & 0.810813958479969 & 0.405406979239985 \tabularnewline
20 & 0.692830668908679 & 0.614338662182643 & 0.307169331091321 \tabularnewline
21 & 0.672313399644728 & 0.655373200710543 & 0.327686600355272 \tabularnewline
22 & 0.629366726004467 & 0.741266547991066 & 0.370633273995533 \tabularnewline
23 & 0.676100737423335 & 0.647798525153331 & 0.323899262576665 \tabularnewline
24 & 0.72593278588076 & 0.54813442823848 & 0.27406721411924 \tabularnewline
25 & 0.924781871550008 & 0.150436256899984 & 0.0752181284499919 \tabularnewline
26 & 0.964867536517605 & 0.0702649269647891 & 0.0351324634823946 \tabularnewline
27 & 0.971967492770797 & 0.0560650144584054 & 0.0280325072292027 \tabularnewline
28 & 0.974899489273997 & 0.0502010214520069 & 0.0251005107260035 \tabularnewline
29 & 0.970153104501624 & 0.0596937909967528 & 0.0298468954983764 \tabularnewline
30 & 0.96046594696381 & 0.0790681060723809 & 0.0395340530361904 \tabularnewline
31 & 0.98412323177098 & 0.0317535364580407 & 0.0158767682290203 \tabularnewline
32 & 0.977600104979279 & 0.0447997900414417 & 0.0223998950207208 \tabularnewline
33 & 0.96749733073405 & 0.0650053385318993 & 0.0325026692659497 \tabularnewline
34 & 0.955182516281981 & 0.0896349674360378 & 0.0448174837180189 \tabularnewline
35 & 0.937735588464745 & 0.124528823070511 & 0.0622644115352554 \tabularnewline
36 & 0.922696675073101 & 0.154606649853798 & 0.0773033249268991 \tabularnewline
37 & 0.898252107395163 & 0.203495785209674 & 0.101747892604837 \tabularnewline
38 & 0.869428343195552 & 0.261143313608896 & 0.130571656804448 \tabularnewline
39 & 0.915238424113315 & 0.169523151773371 & 0.0847615758866854 \tabularnewline
40 & 0.927277186793387 & 0.145445626413226 & 0.072722813206613 \tabularnewline
41 & 0.910629850887761 & 0.178740298224477 & 0.0893701491122386 \tabularnewline
42 & 0.891614806670838 & 0.216770386658324 & 0.108385193329162 \tabularnewline
43 & 0.863588005253797 & 0.272823989492405 & 0.136411994746203 \tabularnewline
44 & 0.832700800733606 & 0.334598398532789 & 0.167299199266394 \tabularnewline
45 & 0.849337254673386 & 0.301325490653229 & 0.150662745326614 \tabularnewline
46 & 0.827748062430665 & 0.344503875138669 & 0.172251937569335 \tabularnewline
47 & 0.795075691022549 & 0.409848617954902 & 0.204924308977451 \tabularnewline
48 & 0.759170076464822 & 0.481659847070357 & 0.240829923535178 \tabularnewline
49 & 0.729158333523846 & 0.541683332952308 & 0.270841666476154 \tabularnewline
50 & 0.886664087053612 & 0.226671825892776 & 0.113335912946388 \tabularnewline
51 & 0.989696291252087 & 0.0206074174958268 & 0.0103037087479134 \tabularnewline
52 & 0.989167423531607 & 0.0216651529367865 & 0.0108325764683933 \tabularnewline
53 & 0.986396350208566 & 0.0272072995828683 & 0.0136036497914341 \tabularnewline
54 & 0.995341966173559 & 0.009316067652882 & 0.004658033826441 \tabularnewline
55 & 0.996930547020907 & 0.00613890595818521 & 0.0030694529790926 \tabularnewline
56 & 0.996321641858496 & 0.00735671628300743 & 0.00367835814150372 \tabularnewline
57 & 0.995189056542643 & 0.00962188691471321 & 0.00481094345735661 \tabularnewline
58 & 0.99712033386642 & 0.00575933226715992 & 0.00287966613357996 \tabularnewline
59 & 0.996120718387549 & 0.0077585632249029 & 0.00387928161245145 \tabularnewline
60 & 0.994874402132586 & 0.0102511957348287 & 0.00512559786741436 \tabularnewline
61 & 0.994309738162014 & 0.0113805236759713 & 0.00569026183798563 \tabularnewline
62 & 0.993317051506152 & 0.0133658969876966 & 0.00668294849384832 \tabularnewline
63 & 0.991002337539815 & 0.0179953249203703 & 0.00899766246018517 \tabularnewline
64 & 0.988345832701137 & 0.0233083345977269 & 0.0116541672988635 \tabularnewline
65 & 0.994138077048979 & 0.0117238459020417 & 0.00586192295102083 \tabularnewline
66 & 0.992888838033729 & 0.0142223239325418 & 0.00711116196627091 \tabularnewline
67 & 0.998546271824656 & 0.00290745635068803 & 0.00145372817534402 \tabularnewline
68 & 0.998080621356253 & 0.00383875728749401 & 0.00191937864374701 \tabularnewline
69 & 0.99787903184712 & 0.0042419363057598 & 0.0021209681528799 \tabularnewline
70 & 0.997626019507695 & 0.00474796098460957 & 0.00237398049230479 \tabularnewline
71 & 0.997247016001448 & 0.00550596799710377 & 0.00275298399855189 \tabularnewline
72 & 0.997005954386174 & 0.00598809122765148 & 0.00299404561382574 \tabularnewline
73 & 0.99652498694184 & 0.00695002611631954 & 0.00347501305815977 \tabularnewline
74 & 0.995359514272038 & 0.00928097145592315 & 0.00464048572796157 \tabularnewline
75 & 0.996533750836885 & 0.00693249832623062 & 0.00346624916311531 \tabularnewline
76 & 0.996215536401082 & 0.00756892719783613 & 0.00378446359891806 \tabularnewline
77 & 0.995203582119217 & 0.009592835761565 & 0.0047964178807825 \tabularnewline
78 & 0.994088078542219 & 0.011823842915561 & 0.00591192145778052 \tabularnewline
79 & 0.992968844920437 & 0.0140623101591259 & 0.00703115507956294 \tabularnewline
80 & 0.99091391246394 & 0.0181721750721209 & 0.00908608753606043 \tabularnewline
81 & 0.990584967868052 & 0.0188300642638965 & 0.00941503213194823 \tabularnewline
82 & 0.987883376017225 & 0.0242332479655498 & 0.0121166239827749 \tabularnewline
83 & 0.999411500083928 & 0.00117699983214442 & 0.000588499916072208 \tabularnewline
84 & 0.99928824530938 & 0.00142350938123946 & 0.000711754690619728 \tabularnewline
85 & 0.999016200810908 & 0.00196759837818303 & 0.000983799189091515 \tabularnewline
86 & 0.998653151699592 & 0.00269369660081509 & 0.00134684830040755 \tabularnewline
87 & 0.998199677364901 & 0.00360064527019869 & 0.00180032263509935 \tabularnewline
88 & 0.997779998951359 & 0.00444000209728095 & 0.00222000104864048 \tabularnewline
89 & 0.999953952929566 & 9.20941408688094e-05 & 4.60470704344047e-05 \tabularnewline
90 & 0.999955967752844 & 8.80644943111349e-05 & 4.40322471555674e-05 \tabularnewline
91 & 0.999975335935799 & 4.93281284013339e-05 & 2.4664064200667e-05 \tabularnewline
92 & 0.9999741619117 & 5.1676176600342e-05 & 2.5838088300171e-05 \tabularnewline
93 & 0.99996502604007 & 6.99479198595474e-05 & 3.49739599297737e-05 \tabularnewline
94 & 0.999961437997401 & 7.71240051973216e-05 & 3.85620025986608e-05 \tabularnewline
95 & 0.999947801327233 & 0.000104397345533013 & 5.21986727665066e-05 \tabularnewline
96 & 0.999939280931408 & 0.000121438137183366 & 6.07190685916831e-05 \tabularnewline
97 & 0.999920537654183 & 0.000158924691634124 & 7.94623458170618e-05 \tabularnewline
98 & 0.99998657273139 & 2.68545372206399e-05 & 1.34272686103199e-05 \tabularnewline
99 & 0.999983223334136 & 3.35533317286242e-05 & 1.67766658643121e-05 \tabularnewline
100 & 0.999976719395905 & 4.65612081894552e-05 & 2.32806040947276e-05 \tabularnewline
101 & 0.99996624043166 & 6.75191366795551e-05 & 3.37595683397775e-05 \tabularnewline
102 & 0.999950967999071 & 9.80640018589557e-05 & 4.90320009294778e-05 \tabularnewline
103 & 0.999973639799607 & 5.2720400785481e-05 & 2.63602003927405e-05 \tabularnewline
104 & 0.999966745614535 & 6.65087709299978e-05 & 3.32543854649989e-05 \tabularnewline
105 & 0.999952292546159 & 9.54149076824445e-05 & 4.77074538412223e-05 \tabularnewline
106 & 0.999938905438326 & 0.000122189123347212 & 6.10945616736059e-05 \tabularnewline
107 & 0.999970903028291 & 5.81939434174198e-05 & 2.90969717087099e-05 \tabularnewline
108 & 0.999957588017049 & 8.48239659016596e-05 & 4.24119829508298e-05 \tabularnewline
109 & 0.999943290909924 & 0.000113418180151855 & 5.67090900759273e-05 \tabularnewline
110 & 0.999941358038292 & 0.000117283923416628 & 5.86419617083139e-05 \tabularnewline
111 & 0.999940244492236 & 0.00011951101552799 & 5.97555077639951e-05 \tabularnewline
112 & 0.99991885574504 & 0.00016228850992022 & 8.11442549601101e-05 \tabularnewline
113 & 0.999890135278355 & 0.000219729443289944 & 0.000109864721644972 \tabularnewline
114 & 0.999846650393191 & 0.000306699213617282 & 0.000153349606808641 \tabularnewline
115 & 0.999816699404115 & 0.000366601191769534 & 0.000183300595884767 \tabularnewline
116 & 0.999758420453428 & 0.000483159093143999 & 0.000241579546571999 \tabularnewline
117 & 0.999665131710412 & 0.000669736579176656 & 0.000334868289588328 \tabularnewline
118 & 0.999825698875726 & 0.000348602248547546 & 0.000174301124273773 \tabularnewline
119 & 0.999979684082035 & 4.06318359296707e-05 & 2.03159179648354e-05 \tabularnewline
120 & 0.999973748046994 & 5.2503906011444e-05 & 2.6251953005722e-05 \tabularnewline
121 & 0.999962159270023 & 7.5681459954865e-05 & 3.78407299774325e-05 \tabularnewline
122 & 0.999975722701708 & 4.85545965832548e-05 & 2.42772982916274e-05 \tabularnewline
123 & 0.999977603399401 & 4.47932011989132e-05 & 2.23966005994566e-05 \tabularnewline
124 & 0.999987150202957 & 2.56995940868763e-05 & 1.28497970434382e-05 \tabularnewline
125 & 0.999987601099054 & 2.47978018916948e-05 & 1.23989009458474e-05 \tabularnewline
126 & 0.999983180481834 & 3.36390363312862e-05 & 1.68195181656431e-05 \tabularnewline
127 & 0.999976715592339 & 4.65688153215205e-05 & 2.32844076607603e-05 \tabularnewline
128 & 0.99996716344575 & 6.5673108500689e-05 & 3.28365542503445e-05 \tabularnewline
129 & 0.999991841946827 & 1.63161063464907e-05 & 8.15805317324537e-06 \tabularnewline
130 & 0.999987985535565 & 2.40289288700123e-05 & 1.20144644350061e-05 \tabularnewline
131 & 0.999982373991336 & 3.52520173276134e-05 & 1.76260086638067e-05 \tabularnewline
132 & 0.999977937323158 & 4.41253536837391e-05 & 2.20626768418695e-05 \tabularnewline
133 & 0.999971173387192 & 5.76532256156337e-05 & 2.88266128078168e-05 \tabularnewline
134 & 0.999983850328798 & 3.22993424047428e-05 & 1.61496712023714e-05 \tabularnewline
135 & 0.999978968744298 & 4.20625114044482e-05 & 2.10312557022241e-05 \tabularnewline
136 & 0.99997236999514 & 5.52600097190058e-05 & 2.76300048595029e-05 \tabularnewline
137 & 0.999959885056357 & 8.02298872864152e-05 & 4.01149436432076e-05 \tabularnewline
138 & 0.999948206680375 & 0.000103586639250954 & 5.1793319625477e-05 \tabularnewline
139 & 0.999939030944206 & 0.00012193811158779 & 6.09690557938949e-05 \tabularnewline
140 & 0.999913972507194 & 0.000172054985612631 & 8.60274928063155e-05 \tabularnewline
141 & 0.999903283031769 & 0.000193433936462647 & 9.67169682313234e-05 \tabularnewline
142 & 0.999872525660928 & 0.000254948678143934 & 0.000127474339071967 \tabularnewline
143 & 0.999870611469424 & 0.000258777061151417 & 0.000129388530575709 \tabularnewline
144 & 0.99993069814101 & 0.000138603717980659 & 6.93018589903297e-05 \tabularnewline
145 & 0.999953249924151 & 9.35001516978792e-05 & 4.67500758489396e-05 \tabularnewline
146 & 0.999939419528864 & 0.000121160942271571 & 6.05804711357855e-05 \tabularnewline
147 & 0.999961426975452 & 7.71460490951045e-05 & 3.85730245475522e-05 \tabularnewline
148 & 0.999956309860543 & 8.73802789145381e-05 & 4.36901394572691e-05 \tabularnewline
149 & 0.999947618954995 & 0.000104762090010145 & 5.23810450050724e-05 \tabularnewline
150 & 0.999927417111828 & 0.000145165776343396 & 7.25828881716978e-05 \tabularnewline
151 & 0.999939827305706 & 0.0001203453885884 & 6.01726942941998e-05 \tabularnewline
152 & 0.999918842791578 & 0.000162314416843576 & 8.1157208421788e-05 \tabularnewline
153 & 0.99989736024345 & 0.000205279513100937 & 0.000102639756550468 \tabularnewline
154 & 0.999855168411415 & 0.000289663177170958 & 0.000144831588585479 \tabularnewline
155 & 0.999911499396818 & 0.000177001206363496 & 8.85006031817481e-05 \tabularnewline
156 & 0.999889224795292 & 0.0002215504094164 & 0.0001107752047082 \tabularnewline
157 & 0.999845175981934 & 0.000309648036131623 & 0.000154824018065811 \tabularnewline
158 & 0.999863277563834 & 0.000273444872331385 & 0.000136722436165693 \tabularnewline
159 & 0.999894079278667 & 0.000211841442665432 & 0.000105920721332716 \tabularnewline
160 & 0.999861846372065 & 0.000276307255869809 & 0.000138153627934905 \tabularnewline
161 & 0.999812560213338 & 0.000374879573323402 & 0.000187439786661701 \tabularnewline
162 & 0.999796941117771 & 0.000406117764457791 & 0.000203058882228896 \tabularnewline
163 & 0.999785935223891 & 0.00042812955221866 & 0.00021406477610933 \tabularnewline
164 & 0.999791520250502 & 0.000416959498995797 & 0.000208479749497899 \tabularnewline
165 & 0.999777391216014 & 0.000445217567972731 & 0.000222608783986365 \tabularnewline
166 & 0.999774633101669 & 0.000450733796662708 & 0.000225366898331354 \tabularnewline
167 & 0.999707479555854 & 0.000585040888291335 & 0.000292520444145668 \tabularnewline
168 & 0.999699549358706 & 0.000600901282588716 & 0.000300450641294358 \tabularnewline
169 & 0.999609077915649 & 0.000781844168702457 & 0.000390922084351229 \tabularnewline
170 & 0.999988061190729 & 2.38776185425169e-05 & 1.19388092712584e-05 \tabularnewline
171 & 0.999983856950013 & 3.22860999738946e-05 & 1.61430499869473e-05 \tabularnewline
172 & 0.999983087738816 & 3.382452236762e-05 & 1.691226118381e-05 \tabularnewline
173 & 0.999995124671057 & 9.75065788519745e-06 & 4.87532894259873e-06 \tabularnewline
174 & 0.999998898067327 & 2.2038653455958e-06 & 1.1019326727979e-06 \tabularnewline
175 & 0.999999163259206 & 1.67348158749621e-06 & 8.36740793748106e-07 \tabularnewline
176 & 0.999998778610734 & 2.44277853226513e-06 & 1.22138926613257e-06 \tabularnewline
177 & 0.999998753738419 & 2.492523161588e-06 & 1.246261580794e-06 \tabularnewline
178 & 0.999998555619266 & 2.88876146859296e-06 & 1.44438073429648e-06 \tabularnewline
179 & 0.999997845139233 & 4.30972153409266e-06 & 2.15486076704633e-06 \tabularnewline
180 & 0.999998320048787 & 3.35990242537601e-06 & 1.67995121268801e-06 \tabularnewline
181 & 0.999997550848342 & 4.89830331620997e-06 & 2.44915165810498e-06 \tabularnewline
182 & 0.999998364643275 & 3.27071344977065e-06 & 1.63535672488532e-06 \tabularnewline
183 & 0.999997386504903 & 5.22699019316819e-06 & 2.6134950965841e-06 \tabularnewline
184 & 0.999997090516419 & 5.81896716180353e-06 & 2.90948358090177e-06 \tabularnewline
185 & 0.999996570480313 & 6.85903937381476e-06 & 3.42951968690738e-06 \tabularnewline
186 & 0.999994874049985 & 1.02519000291869e-05 & 5.12595001459344e-06 \tabularnewline
187 & 0.999993180864291 & 1.36382714172337e-05 & 6.81913570861685e-06 \tabularnewline
188 & 0.999989471695383 & 2.10566092333448e-05 & 1.05283046166724e-05 \tabularnewline
189 & 0.99998561710417 & 2.87657916608104e-05 & 1.43828958304052e-05 \tabularnewline
190 & 0.999988701809705 & 2.25963805894531e-05 & 1.12981902947266e-05 \tabularnewline
191 & 0.999999658072952 & 6.83854095892214e-07 & 3.41927047946107e-07 \tabularnewline
192 & 0.999999427896679 & 1.14420664147003e-06 & 5.72103320735016e-07 \tabularnewline
193 & 0.999999090652127 & 1.818695745276e-06 & 9.09347872637999e-07 \tabularnewline
194 & 0.999998660151921 & 2.67969615835487e-06 & 1.33984807917744e-06 \tabularnewline
195 & 0.999998621588789 & 2.75682242206057e-06 & 1.37841121103029e-06 \tabularnewline
196 & 0.999998785618995 & 2.4287620091319e-06 & 1.21438100456595e-06 \tabularnewline
197 & 0.999998459913327 & 3.08017334656272e-06 & 1.54008667328136e-06 \tabularnewline
198 & 0.999997720653588 & 4.55869282416566e-06 & 2.27934641208283e-06 \tabularnewline
199 & 0.999997712581793 & 4.57483641389853e-06 & 2.28741820694926e-06 \tabularnewline
200 & 0.999996926327663 & 6.14734467309125e-06 & 3.07367233654563e-06 \tabularnewline
201 & 0.999995862162595 & 8.27567481074683e-06 & 4.13783740537341e-06 \tabularnewline
202 & 0.999993732754066 & 1.25344918688693e-05 & 6.26724593443466e-06 \tabularnewline
203 & 0.999993742967905 & 1.25140641907748e-05 & 6.25703209538742e-06 \tabularnewline
204 & 0.999989937077376 & 2.01258452471781e-05 & 1.00629226235891e-05 \tabularnewline
205 & 0.999985789633256 & 2.84207334875934e-05 & 1.42103667437967e-05 \tabularnewline
206 & 0.999977374319741 & 4.52513605182462e-05 & 2.26256802591231e-05 \tabularnewline
207 & 0.999966894523548 & 6.62109529039472e-05 & 3.31054764519736e-05 \tabularnewline
208 & 0.999993592419759 & 1.28151604810939e-05 & 6.40758024054696e-06 \tabularnewline
209 & 0.999997436312542 & 5.12737491590134e-06 & 2.56368745795067e-06 \tabularnewline
210 & 0.999995706364515 & 8.58727097033953e-06 & 4.29363548516976e-06 \tabularnewline
211 & 0.999994407465988 & 1.11850680245223e-05 & 5.59253401226117e-06 \tabularnewline
212 & 0.999999523067191 & 9.53865618059337e-07 & 4.76932809029668e-07 \tabularnewline
213 & 0.999999369660748 & 1.2606785032304e-06 & 6.30339251615201e-07 \tabularnewline
214 & 0.999998883969348 & 2.23206130391595e-06 & 1.11603065195797e-06 \tabularnewline
215 & 0.999998226886286 & 3.54622742870211e-06 & 1.77311371435106e-06 \tabularnewline
216 & 0.999997048906705 & 5.90218659072138e-06 & 2.95109329536069e-06 \tabularnewline
217 & 0.999998026514747 & 3.94697050558333e-06 & 1.97348525279166e-06 \tabularnewline
218 & 0.999996629176544 & 6.74164691181987e-06 & 3.37082345590994e-06 \tabularnewline
219 & 0.999994160914116 & 1.16781717682763e-05 & 5.83908588413813e-06 \tabularnewline
220 & 0.99999426526163 & 1.14694767402423e-05 & 5.73473837012116e-06 \tabularnewline
221 & 0.999990590717709 & 1.88185645810856e-05 & 9.40928229054279e-06 \tabularnewline
222 & 0.999995838706796 & 8.3225864074594e-06 & 4.1612932037297e-06 \tabularnewline
223 & 0.999996047909443 & 7.90418111343617e-06 & 3.95209055671809e-06 \tabularnewline
224 & 0.999993173675466 & 1.36526490686893e-05 & 6.82632453434464e-06 \tabularnewline
225 & 0.9999885620105 & 2.2875979000941e-05 & 1.14379895004705e-05 \tabularnewline
226 & 0.999985561276043 & 2.88774479146523e-05 & 1.44387239573262e-05 \tabularnewline
227 & 0.999984499274164 & 3.10014516710551e-05 & 1.55007258355276e-05 \tabularnewline
228 & 0.999974151057864 & 5.16978842718952e-05 & 2.58489421359476e-05 \tabularnewline
229 & 0.999962887462617 & 7.42250747655892e-05 & 3.71125373827946e-05 \tabularnewline
230 & 0.999966185562916 & 6.76288741686925e-05 & 3.38144370843463e-05 \tabularnewline
231 & 0.999952896137905 & 9.42077241891582e-05 & 4.71038620945791e-05 \tabularnewline
232 & 0.99991865267469 & 0.000162694650620022 & 8.1347325310011e-05 \tabularnewline
233 & 0.99999945496679 & 1.09006642096382e-06 & 5.45033210481912e-07 \tabularnewline
234 & 0.99999889321445 & 2.21357110026039e-06 & 1.10678555013019e-06 \tabularnewline
235 & 0.999997857470213 & 4.28505957399656e-06 & 2.14252978699828e-06 \tabularnewline
236 & 0.99999601981295 & 7.96037409981266e-06 & 3.98018704990633e-06 \tabularnewline
237 & 0.999999997312288 & 5.37542398331824e-09 & 2.68771199165912e-09 \tabularnewline
238 & 0.99999999342271 & 1.31545793214612e-08 & 6.57728966073061e-09 \tabularnewline
239 & 0.999999983511863 & 3.29762737654597e-08 & 1.64881368827298e-08 \tabularnewline
240 & 0.999999959296411 & 8.14071788651796e-08 & 4.07035894325898e-08 \tabularnewline
241 & 0.999999937403776 & 1.25192448828107e-07 & 6.25962244140533e-08 \tabularnewline
242 & 0.999999875127471 & 2.49745058683276e-07 & 1.24872529341638e-07 \tabularnewline
243 & 0.999999709401345 & 5.81197309720654e-07 & 2.90598654860327e-07 \tabularnewline
244 & 0.999999333450207 & 1.33309958593746e-06 & 6.66549792968728e-07 \tabularnewline
245 & 0.999998452479815 & 3.09504037037232e-06 & 1.54752018518616e-06 \tabularnewline
246 & 0.99999644408564 & 7.1118287209064e-06 & 3.5559143604532e-06 \tabularnewline
247 & 0.999996175311333 & 7.64937733402286e-06 & 3.82468866701143e-06 \tabularnewline
248 & 0.999991562402961 & 1.68751940780138e-05 & 8.43759703900688e-06 \tabularnewline
249 & 0.999990467315029 & 1.90653699409587e-05 & 9.53268497047933e-06 \tabularnewline
250 & 0.999981411720064 & 3.71765598724574e-05 & 1.85882799362287e-05 \tabularnewline
251 & 0.999967918571402 & 6.4162857196253e-05 & 3.20814285981265e-05 \tabularnewline
252 & 0.999930608359855 & 0.0001387832802898 & 6.93916401449002e-05 \tabularnewline
253 & 0.999850976325919 & 0.000298047348161534 & 0.000149023674080767 \tabularnewline
254 & 0.99967819126002 & 0.000643617479959387 & 0.000321808739979694 \tabularnewline
255 & 0.999626401919967 & 0.00074719616006616 & 0.00037359808003308 \tabularnewline
256 & 0.9992255439731 & 0.00154891205379899 & 0.000774456026899497 \tabularnewline
257 & 0.998851630933329 & 0.0022967381333429 & 0.00114836906667145 \tabularnewline
258 & 0.999203743027374 & 0.00159251394525213 & 0.000796256972626067 \tabularnewline
259 & 0.998336424542361 & 0.00332715091527831 & 0.00166357545763915 \tabularnewline
260 & 0.997104376842739 & 0.00579124631452277 & 0.00289562315726139 \tabularnewline
261 & 0.995021066705766 & 0.00995786658846749 & 0.00497893329423375 \tabularnewline
262 & 0.990049349381057 & 0.0199013012378862 & 0.00995065061894308 \tabularnewline
263 & 0.985599554526233 & 0.0288008909475342 & 0.0144004454737671 \tabularnewline
264 & 0.990674279547361 & 0.0186514409052783 & 0.00932572045263917 \tabularnewline
265 & 0.980353466457816 & 0.0392930670843684 & 0.0196465335421842 \tabularnewline
266 & 0.977367562765356 & 0.0452648744692888 & 0.0226324372346444 \tabularnewline
267 & 0.950134831374689 & 0.0997303372506229 & 0.0498651686253114 \tabularnewline
268 & 0.906621540974488 & 0.186756918051023 & 0.0933784590255117 \tabularnewline
269 & 0.998412636988565 & 0.00317472602286935 & 0.00158736301143468 \tabularnewline
270 & 0.997928000770061 & 0.0041439984598777 & 0.00207199922993885 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=190422&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]0.594593020760015[/C][C]0.810813958479969[/C][C]0.405406979239985[/C][/ROW]
[ROW][C]20[/C][C]0.692830668908679[/C][C]0.614338662182643[/C][C]0.307169331091321[/C][/ROW]
[ROW][C]21[/C][C]0.672313399644728[/C][C]0.655373200710543[/C][C]0.327686600355272[/C][/ROW]
[ROW][C]22[/C][C]0.629366726004467[/C][C]0.741266547991066[/C][C]0.370633273995533[/C][/ROW]
[ROW][C]23[/C][C]0.676100737423335[/C][C]0.647798525153331[/C][C]0.323899262576665[/C][/ROW]
[ROW][C]24[/C][C]0.72593278588076[/C][C]0.54813442823848[/C][C]0.27406721411924[/C][/ROW]
[ROW][C]25[/C][C]0.924781871550008[/C][C]0.150436256899984[/C][C]0.0752181284499919[/C][/ROW]
[ROW][C]26[/C][C]0.964867536517605[/C][C]0.0702649269647891[/C][C]0.0351324634823946[/C][/ROW]
[ROW][C]27[/C][C]0.971967492770797[/C][C]0.0560650144584054[/C][C]0.0280325072292027[/C][/ROW]
[ROW][C]28[/C][C]0.974899489273997[/C][C]0.0502010214520069[/C][C]0.0251005107260035[/C][/ROW]
[ROW][C]29[/C][C]0.970153104501624[/C][C]0.0596937909967528[/C][C]0.0298468954983764[/C][/ROW]
[ROW][C]30[/C][C]0.96046594696381[/C][C]0.0790681060723809[/C][C]0.0395340530361904[/C][/ROW]
[ROW][C]31[/C][C]0.98412323177098[/C][C]0.0317535364580407[/C][C]0.0158767682290203[/C][/ROW]
[ROW][C]32[/C][C]0.977600104979279[/C][C]0.0447997900414417[/C][C]0.0223998950207208[/C][/ROW]
[ROW][C]33[/C][C]0.96749733073405[/C][C]0.0650053385318993[/C][C]0.0325026692659497[/C][/ROW]
[ROW][C]34[/C][C]0.955182516281981[/C][C]0.0896349674360378[/C][C]0.0448174837180189[/C][/ROW]
[ROW][C]35[/C][C]0.937735588464745[/C][C]0.124528823070511[/C][C]0.0622644115352554[/C][/ROW]
[ROW][C]36[/C][C]0.922696675073101[/C][C]0.154606649853798[/C][C]0.0773033249268991[/C][/ROW]
[ROW][C]37[/C][C]0.898252107395163[/C][C]0.203495785209674[/C][C]0.101747892604837[/C][/ROW]
[ROW][C]38[/C][C]0.869428343195552[/C][C]0.261143313608896[/C][C]0.130571656804448[/C][/ROW]
[ROW][C]39[/C][C]0.915238424113315[/C][C]0.169523151773371[/C][C]0.0847615758866854[/C][/ROW]
[ROW][C]40[/C][C]0.927277186793387[/C][C]0.145445626413226[/C][C]0.072722813206613[/C][/ROW]
[ROW][C]41[/C][C]0.910629850887761[/C][C]0.178740298224477[/C][C]0.0893701491122386[/C][/ROW]
[ROW][C]42[/C][C]0.891614806670838[/C][C]0.216770386658324[/C][C]0.108385193329162[/C][/ROW]
[ROW][C]43[/C][C]0.863588005253797[/C][C]0.272823989492405[/C][C]0.136411994746203[/C][/ROW]
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[ROW][C]120[/C][C]0.999973748046994[/C][C]5.2503906011444e-05[/C][C]2.6251953005722e-05[/C][/ROW]
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[ROW][C]124[/C][C]0.999987150202957[/C][C]2.56995940868763e-05[/C][C]1.28497970434382e-05[/C][/ROW]
[ROW][C]125[/C][C]0.999987601099054[/C][C]2.47978018916948e-05[/C][C]1.23989009458474e-05[/C][/ROW]
[ROW][C]126[/C][C]0.999983180481834[/C][C]3.36390363312862e-05[/C][C]1.68195181656431e-05[/C][/ROW]
[ROW][C]127[/C][C]0.999976715592339[/C][C]4.65688153215205e-05[/C][C]2.32844076607603e-05[/C][/ROW]
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[ROW][C]173[/C][C]0.999995124671057[/C][C]9.75065788519745e-06[/C][C]4.87532894259873e-06[/C][/ROW]
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[ROW][C]175[/C][C]0.999999163259206[/C][C]1.67348158749621e-06[/C][C]8.36740793748106e-07[/C][/ROW]
[ROW][C]176[/C][C]0.999998778610734[/C][C]2.44277853226513e-06[/C][C]1.22138926613257e-06[/C][/ROW]
[ROW][C]177[/C][C]0.999998753738419[/C][C]2.492523161588e-06[/C][C]1.246261580794e-06[/C][/ROW]
[ROW][C]178[/C][C]0.999998555619266[/C][C]2.88876146859296e-06[/C][C]1.44438073429648e-06[/C][/ROW]
[ROW][C]179[/C][C]0.999997845139233[/C][C]4.30972153409266e-06[/C][C]2.15486076704633e-06[/C][/ROW]
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[ROW][C]181[/C][C]0.999997550848342[/C][C]4.89830331620997e-06[/C][C]2.44915165810498e-06[/C][/ROW]
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[ROW][C]183[/C][C]0.999997386504903[/C][C]5.22699019316819e-06[/C][C]2.6134950965841e-06[/C][/ROW]
[ROW][C]184[/C][C]0.999997090516419[/C][C]5.81896716180353e-06[/C][C]2.90948358090177e-06[/C][/ROW]
[ROW][C]185[/C][C]0.999996570480313[/C][C]6.85903937381476e-06[/C][C]3.42951968690738e-06[/C][/ROW]
[ROW][C]186[/C][C]0.999994874049985[/C][C]1.02519000291869e-05[/C][C]5.12595001459344e-06[/C][/ROW]
[ROW][C]187[/C][C]0.999993180864291[/C][C]1.36382714172337e-05[/C][C]6.81913570861685e-06[/C][/ROW]
[ROW][C]188[/C][C]0.999989471695383[/C][C]2.10566092333448e-05[/C][C]1.05283046166724e-05[/C][/ROW]
[ROW][C]189[/C][C]0.99998561710417[/C][C]2.87657916608104e-05[/C][C]1.43828958304052e-05[/C][/ROW]
[ROW][C]190[/C][C]0.999988701809705[/C][C]2.25963805894531e-05[/C][C]1.12981902947266e-05[/C][/ROW]
[ROW][C]191[/C][C]0.999999658072952[/C][C]6.83854095892214e-07[/C][C]3.41927047946107e-07[/C][/ROW]
[ROW][C]192[/C][C]0.999999427896679[/C][C]1.14420664147003e-06[/C][C]5.72103320735016e-07[/C][/ROW]
[ROW][C]193[/C][C]0.999999090652127[/C][C]1.818695745276e-06[/C][C]9.09347872637999e-07[/C][/ROW]
[ROW][C]194[/C][C]0.999998660151921[/C][C]2.67969615835487e-06[/C][C]1.33984807917744e-06[/C][/ROW]
[ROW][C]195[/C][C]0.999998621588789[/C][C]2.75682242206057e-06[/C][C]1.37841121103029e-06[/C][/ROW]
[ROW][C]196[/C][C]0.999998785618995[/C][C]2.4287620091319e-06[/C][C]1.21438100456595e-06[/C][/ROW]
[ROW][C]197[/C][C]0.999998459913327[/C][C]3.08017334656272e-06[/C][C]1.54008667328136e-06[/C][/ROW]
[ROW][C]198[/C][C]0.999997720653588[/C][C]4.55869282416566e-06[/C][C]2.27934641208283e-06[/C][/ROW]
[ROW][C]199[/C][C]0.999997712581793[/C][C]4.57483641389853e-06[/C][C]2.28741820694926e-06[/C][/ROW]
[ROW][C]200[/C][C]0.999996926327663[/C][C]6.14734467309125e-06[/C][C]3.07367233654563e-06[/C][/ROW]
[ROW][C]201[/C][C]0.999995862162595[/C][C]8.27567481074683e-06[/C][C]4.13783740537341e-06[/C][/ROW]
[ROW][C]202[/C][C]0.999993732754066[/C][C]1.25344918688693e-05[/C][C]6.26724593443466e-06[/C][/ROW]
[ROW][C]203[/C][C]0.999993742967905[/C][C]1.25140641907748e-05[/C][C]6.25703209538742e-06[/C][/ROW]
[ROW][C]204[/C][C]0.999989937077376[/C][C]2.01258452471781e-05[/C][C]1.00629226235891e-05[/C][/ROW]
[ROW][C]205[/C][C]0.999985789633256[/C][C]2.84207334875934e-05[/C][C]1.42103667437967e-05[/C][/ROW]
[ROW][C]206[/C][C]0.999977374319741[/C][C]4.52513605182462e-05[/C][C]2.26256802591231e-05[/C][/ROW]
[ROW][C]207[/C][C]0.999966894523548[/C][C]6.62109529039472e-05[/C][C]3.31054764519736e-05[/C][/ROW]
[ROW][C]208[/C][C]0.999993592419759[/C][C]1.28151604810939e-05[/C][C]6.40758024054696e-06[/C][/ROW]
[ROW][C]209[/C][C]0.999997436312542[/C][C]5.12737491590134e-06[/C][C]2.56368745795067e-06[/C][/ROW]
[ROW][C]210[/C][C]0.999995706364515[/C][C]8.58727097033953e-06[/C][C]4.29363548516976e-06[/C][/ROW]
[ROW][C]211[/C][C]0.999994407465988[/C][C]1.11850680245223e-05[/C][C]5.59253401226117e-06[/C][/ROW]
[ROW][C]212[/C][C]0.999999523067191[/C][C]9.53865618059337e-07[/C][C]4.76932809029668e-07[/C][/ROW]
[ROW][C]213[/C][C]0.999999369660748[/C][C]1.2606785032304e-06[/C][C]6.30339251615201e-07[/C][/ROW]
[ROW][C]214[/C][C]0.999998883969348[/C][C]2.23206130391595e-06[/C][C]1.11603065195797e-06[/C][/ROW]
[ROW][C]215[/C][C]0.999998226886286[/C][C]3.54622742870211e-06[/C][C]1.77311371435106e-06[/C][/ROW]
[ROW][C]216[/C][C]0.999997048906705[/C][C]5.90218659072138e-06[/C][C]2.95109329536069e-06[/C][/ROW]
[ROW][C]217[/C][C]0.999998026514747[/C][C]3.94697050558333e-06[/C][C]1.97348525279166e-06[/C][/ROW]
[ROW][C]218[/C][C]0.999996629176544[/C][C]6.74164691181987e-06[/C][C]3.37082345590994e-06[/C][/ROW]
[ROW][C]219[/C][C]0.999994160914116[/C][C]1.16781717682763e-05[/C][C]5.83908588413813e-06[/C][/ROW]
[ROW][C]220[/C][C]0.99999426526163[/C][C]1.14694767402423e-05[/C][C]5.73473837012116e-06[/C][/ROW]
[ROW][C]221[/C][C]0.999990590717709[/C][C]1.88185645810856e-05[/C][C]9.40928229054279e-06[/C][/ROW]
[ROW][C]222[/C][C]0.999995838706796[/C][C]8.3225864074594e-06[/C][C]4.1612932037297e-06[/C][/ROW]
[ROW][C]223[/C][C]0.999996047909443[/C][C]7.90418111343617e-06[/C][C]3.95209055671809e-06[/C][/ROW]
[ROW][C]224[/C][C]0.999993173675466[/C][C]1.36526490686893e-05[/C][C]6.82632453434464e-06[/C][/ROW]
[ROW][C]225[/C][C]0.9999885620105[/C][C]2.2875979000941e-05[/C][C]1.14379895004705e-05[/C][/ROW]
[ROW][C]226[/C][C]0.999985561276043[/C][C]2.88774479146523e-05[/C][C]1.44387239573262e-05[/C][/ROW]
[ROW][C]227[/C][C]0.999984499274164[/C][C]3.10014516710551e-05[/C][C]1.55007258355276e-05[/C][/ROW]
[ROW][C]228[/C][C]0.999974151057864[/C][C]5.16978842718952e-05[/C][C]2.58489421359476e-05[/C][/ROW]
[ROW][C]229[/C][C]0.999962887462617[/C][C]7.42250747655892e-05[/C][C]3.71125373827946e-05[/C][/ROW]
[ROW][C]230[/C][C]0.999966185562916[/C][C]6.76288741686925e-05[/C][C]3.38144370843463e-05[/C][/ROW]
[ROW][C]231[/C][C]0.999952896137905[/C][C]9.42077241891582e-05[/C][C]4.71038620945791e-05[/C][/ROW]
[ROW][C]232[/C][C]0.99991865267469[/C][C]0.000162694650620022[/C][C]8.1347325310011e-05[/C][/ROW]
[ROW][C]233[/C][C]0.99999945496679[/C][C]1.09006642096382e-06[/C][C]5.45033210481912e-07[/C][/ROW]
[ROW][C]234[/C][C]0.99999889321445[/C][C]2.21357110026039e-06[/C][C]1.10678555013019e-06[/C][/ROW]
[ROW][C]235[/C][C]0.999997857470213[/C][C]4.28505957399656e-06[/C][C]2.14252978699828e-06[/C][/ROW]
[ROW][C]236[/C][C]0.99999601981295[/C][C]7.96037409981266e-06[/C][C]3.98018704990633e-06[/C][/ROW]
[ROW][C]237[/C][C]0.999999997312288[/C][C]5.37542398331824e-09[/C][C]2.68771199165912e-09[/C][/ROW]
[ROW][C]238[/C][C]0.99999999342271[/C][C]1.31545793214612e-08[/C][C]6.57728966073061e-09[/C][/ROW]
[ROW][C]239[/C][C]0.999999983511863[/C][C]3.29762737654597e-08[/C][C]1.64881368827298e-08[/C][/ROW]
[ROW][C]240[/C][C]0.999999959296411[/C][C]8.14071788651796e-08[/C][C]4.07035894325898e-08[/C][/ROW]
[ROW][C]241[/C][C]0.999999937403776[/C][C]1.25192448828107e-07[/C][C]6.25962244140533e-08[/C][/ROW]
[ROW][C]242[/C][C]0.999999875127471[/C][C]2.49745058683276e-07[/C][C]1.24872529341638e-07[/C][/ROW]
[ROW][C]243[/C][C]0.999999709401345[/C][C]5.81197309720654e-07[/C][C]2.90598654860327e-07[/C][/ROW]
[ROW][C]244[/C][C]0.999999333450207[/C][C]1.33309958593746e-06[/C][C]6.66549792968728e-07[/C][/ROW]
[ROW][C]245[/C][C]0.999998452479815[/C][C]3.09504037037232e-06[/C][C]1.54752018518616e-06[/C][/ROW]
[ROW][C]246[/C][C]0.99999644408564[/C][C]7.1118287209064e-06[/C][C]3.5559143604532e-06[/C][/ROW]
[ROW][C]247[/C][C]0.999996175311333[/C][C]7.64937733402286e-06[/C][C]3.82468866701143e-06[/C][/ROW]
[ROW][C]248[/C][C]0.999991562402961[/C][C]1.68751940780138e-05[/C][C]8.43759703900688e-06[/C][/ROW]
[ROW][C]249[/C][C]0.999990467315029[/C][C]1.90653699409587e-05[/C][C]9.53268497047933e-06[/C][/ROW]
[ROW][C]250[/C][C]0.999981411720064[/C][C]3.71765598724574e-05[/C][C]1.85882799362287e-05[/C][/ROW]
[ROW][C]251[/C][C]0.999967918571402[/C][C]6.4162857196253e-05[/C][C]3.20814285981265e-05[/C][/ROW]
[ROW][C]252[/C][C]0.999930608359855[/C][C]0.0001387832802898[/C][C]6.93916401449002e-05[/C][/ROW]
[ROW][C]253[/C][C]0.999850976325919[/C][C]0.000298047348161534[/C][C]0.000149023674080767[/C][/ROW]
[ROW][C]254[/C][C]0.99967819126002[/C][C]0.000643617479959387[/C][C]0.000321808739979694[/C][/ROW]
[ROW][C]255[/C][C]0.999626401919967[/C][C]0.00074719616006616[/C][C]0.00037359808003308[/C][/ROW]
[ROW][C]256[/C][C]0.9992255439731[/C][C]0.00154891205379899[/C][C]0.000774456026899497[/C][/ROW]
[ROW][C]257[/C][C]0.998851630933329[/C][C]0.0022967381333429[/C][C]0.00114836906667145[/C][/ROW]
[ROW][C]258[/C][C]0.999203743027374[/C][C]0.00159251394525213[/C][C]0.000796256972626067[/C][/ROW]
[ROW][C]259[/C][C]0.998336424542361[/C][C]0.00332715091527831[/C][C]0.00166357545763915[/C][/ROW]
[ROW][C]260[/C][C]0.997104376842739[/C][C]0.00579124631452277[/C][C]0.00289562315726139[/C][/ROW]
[ROW][C]261[/C][C]0.995021066705766[/C][C]0.00995786658846749[/C][C]0.00497893329423375[/C][/ROW]
[ROW][C]262[/C][C]0.990049349381057[/C][C]0.0199013012378862[/C][C]0.00995065061894308[/C][/ROW]
[ROW][C]263[/C][C]0.985599554526233[/C][C]0.0288008909475342[/C][C]0.0144004454737671[/C][/ROW]
[ROW][C]264[/C][C]0.990674279547361[/C][C]0.0186514409052783[/C][C]0.00932572045263917[/C][/ROW]
[ROW][C]265[/C][C]0.980353466457816[/C][C]0.0392930670843684[/C][C]0.0196465335421842[/C][/ROW]
[ROW][C]266[/C][C]0.977367562765356[/C][C]0.0452648744692888[/C][C]0.0226324372346444[/C][/ROW]
[ROW][C]267[/C][C]0.950134831374689[/C][C]0.0997303372506229[/C][C]0.0498651686253114[/C][/ROW]
[ROW][C]268[/C][C]0.906621540974488[/C][C]0.186756918051023[/C][C]0.0933784590255117[/C][/ROW]
[ROW][C]269[/C][C]0.998412636988565[/C][C]0.00317472602286935[/C][C]0.00158736301143468[/C][/ROW]
[ROW][C]270[/C][C]0.997928000770061[/C][C]0.0041439984598777[/C][C]0.00207199922993885[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=190422&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=190422&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	0.594593020760015	0.810813958479969	0.405406979239985
20	0.692830668908679	0.614338662182643	0.307169331091321
21	0.672313399644728	0.655373200710543	0.327686600355272
22	0.629366726004467	0.741266547991066	0.370633273995533
23	0.676100737423335	0.647798525153331	0.323899262576665
24	0.72593278588076	0.54813442823848	0.27406721411924
25	0.924781871550008	0.150436256899984	0.0752181284499919
26	0.964867536517605	0.0702649269647891	0.0351324634823946
27	0.971967492770797	0.0560650144584054	0.0280325072292027
28	0.974899489273997	0.0502010214520069	0.0251005107260035
29	0.970153104501624	0.0596937909967528	0.0298468954983764
30	0.96046594696381	0.0790681060723809	0.0395340530361904
31	0.98412323177098	0.0317535364580407	0.0158767682290203
32	0.977600104979279	0.0447997900414417	0.0223998950207208
33	0.96749733073405	0.0650053385318993	0.0325026692659497
34	0.955182516281981	0.0896349674360378	0.0448174837180189
35	0.937735588464745	0.124528823070511	0.0622644115352554
36	0.922696675073101	0.154606649853798	0.0773033249268991
37	0.898252107395163	0.203495785209674	0.101747892604837
38	0.869428343195552	0.261143313608896	0.130571656804448
39	0.915238424113315	0.169523151773371	0.0847615758866854
40	0.927277186793387	0.145445626413226	0.072722813206613
41	0.910629850887761	0.178740298224477	0.0893701491122386
42	0.891614806670838	0.216770386658324	0.108385193329162
43	0.863588005253797	0.272823989492405	0.136411994746203
44	0.832700800733606	0.334598398532789	0.167299199266394
45	0.849337254673386	0.301325490653229	0.150662745326614
46	0.827748062430665	0.344503875138669	0.172251937569335
47	0.795075691022549	0.409848617954902	0.204924308977451
48	0.759170076464822	0.481659847070357	0.240829923535178
49	0.729158333523846	0.541683332952308	0.270841666476154
50	0.886664087053612	0.226671825892776	0.113335912946388
51	0.989696291252087	0.0206074174958268	0.0103037087479134
52	0.989167423531607	0.0216651529367865	0.0108325764683933
53	0.986396350208566	0.0272072995828683	0.0136036497914341
54	0.995341966173559	0.009316067652882	0.004658033826441
55	0.996930547020907	0.00613890595818521	0.0030694529790926
56	0.996321641858496	0.00735671628300743	0.00367835814150372
57	0.995189056542643	0.00962188691471321	0.00481094345735661
58	0.99712033386642	0.00575933226715992	0.00287966613357996
59	0.996120718387549	0.0077585632249029	0.00387928161245145
60	0.994874402132586	0.0102511957348287	0.00512559786741436
61	0.994309738162014	0.0113805236759713	0.00569026183798563
62	0.993317051506152	0.0133658969876966	0.00668294849384832
63	0.991002337539815	0.0179953249203703	0.00899766246018517
64	0.988345832701137	0.0233083345977269	0.0116541672988635
65	0.994138077048979	0.0117238459020417	0.00586192295102083
66	0.992888838033729	0.0142223239325418	0.00711116196627091
67	0.998546271824656	0.00290745635068803	0.00145372817534402
68	0.998080621356253	0.00383875728749401	0.00191937864374701
69	0.99787903184712	0.0042419363057598	0.0021209681528799
70	0.997626019507695	0.00474796098460957	0.00237398049230479
71	0.997247016001448	0.00550596799710377	0.00275298399855189
72	0.997005954386174	0.00598809122765148	0.00299404561382574
73	0.99652498694184	0.00695002611631954	0.00347501305815977
74	0.995359514272038	0.00928097145592315	0.00464048572796157
75	0.996533750836885	0.00693249832623062	0.00346624916311531
76	0.996215536401082	0.00756892719783613	0.00378446359891806
77	0.995203582119217	0.009592835761565	0.0047964178807825
78	0.994088078542219	0.011823842915561	0.00591192145778052
79	0.992968844920437	0.0140623101591259	0.00703115507956294
80	0.99091391246394	0.0181721750721209	0.00908608753606043
81	0.990584967868052	0.0188300642638965	0.00941503213194823
82	0.987883376017225	0.0242332479655498	0.0121166239827749
83	0.999411500083928	0.00117699983214442	0.000588499916072208
84	0.99928824530938	0.00142350938123946	0.000711754690619728
85	0.999016200810908	0.00196759837818303	0.000983799189091515
86	0.998653151699592	0.00269369660081509	0.00134684830040755
87	0.998199677364901	0.00360064527019869	0.00180032263509935
88	0.997779998951359	0.00444000209728095	0.00222000104864048
89	0.999953952929566	9.20941408688094e-05	4.60470704344047e-05
90	0.999955967752844	8.80644943111349e-05	4.40322471555674e-05
91	0.999975335935799	4.93281284013339e-05	2.4664064200667e-05
92	0.9999741619117	5.1676176600342e-05	2.5838088300171e-05
93	0.99996502604007	6.99479198595474e-05	3.49739599297737e-05
94	0.999961437997401	7.71240051973216e-05	3.85620025986608e-05
95	0.999947801327233	0.000104397345533013	5.21986727665066e-05
96	0.999939280931408	0.000121438137183366	6.07190685916831e-05
97	0.999920537654183	0.000158924691634124	7.94623458170618e-05
98	0.99998657273139	2.68545372206399e-05	1.34272686103199e-05
99	0.999983223334136	3.35533317286242e-05	1.67766658643121e-05
100	0.999976719395905	4.65612081894552e-05	2.32806040947276e-05
101	0.99996624043166	6.75191366795551e-05	3.37595683397775e-05
102	0.999950967999071	9.80640018589557e-05	4.90320009294778e-05
103	0.999973639799607	5.2720400785481e-05	2.63602003927405e-05
104	0.999966745614535	6.65087709299978e-05	3.32543854649989e-05
105	0.999952292546159	9.54149076824445e-05	4.77074538412223e-05
106	0.999938905438326	0.000122189123347212	6.10945616736059e-05
107	0.999970903028291	5.81939434174198e-05	2.90969717087099e-05
108	0.999957588017049	8.48239659016596e-05	4.24119829508298e-05
109	0.999943290909924	0.000113418180151855	5.67090900759273e-05
110	0.999941358038292	0.000117283923416628	5.86419617083139e-05
111	0.999940244492236	0.00011951101552799	5.97555077639951e-05
112	0.99991885574504	0.00016228850992022	8.11442549601101e-05
113	0.999890135278355	0.000219729443289944	0.000109864721644972
114	0.999846650393191	0.000306699213617282	0.000153349606808641
115	0.999816699404115	0.000366601191769534	0.000183300595884767
116	0.999758420453428	0.000483159093143999	0.000241579546571999
117	0.999665131710412	0.000669736579176656	0.000334868289588328
118	0.999825698875726	0.000348602248547546	0.000174301124273773
119	0.999979684082035	4.06318359296707e-05	2.03159179648354e-05
120	0.999973748046994	5.2503906011444e-05	2.6251953005722e-05
121	0.999962159270023	7.5681459954865e-05	3.78407299774325e-05
122	0.999975722701708	4.85545965832548e-05	2.42772982916274e-05
123	0.999977603399401	4.47932011989132e-05	2.23966005994566e-05
124	0.999987150202957	2.56995940868763e-05	1.28497970434382e-05
125	0.999987601099054	2.47978018916948e-05	1.23989009458474e-05
126	0.999983180481834	3.36390363312862e-05	1.68195181656431e-05
127	0.999976715592339	4.65688153215205e-05	2.32844076607603e-05
128	0.99996716344575	6.5673108500689e-05	3.28365542503445e-05
129	0.999991841946827	1.63161063464907e-05	8.15805317324537e-06
130	0.999987985535565	2.40289288700123e-05	1.20144644350061e-05
131	0.999982373991336	3.52520173276134e-05	1.76260086638067e-05
132	0.999977937323158	4.41253536837391e-05	2.20626768418695e-05
133	0.999971173387192	5.76532256156337e-05	2.88266128078168e-05
134	0.999983850328798	3.22993424047428e-05	1.61496712023714e-05
135	0.999978968744298	4.20625114044482e-05	2.10312557022241e-05
136	0.99997236999514	5.52600097190058e-05	2.76300048595029e-05
137	0.999959885056357	8.02298872864152e-05	4.01149436432076e-05
138	0.999948206680375	0.000103586639250954	5.1793319625477e-05
139	0.999939030944206	0.00012193811158779	6.09690557938949e-05
140	0.999913972507194	0.000172054985612631	8.60274928063155e-05
141	0.999903283031769	0.000193433936462647	9.67169682313234e-05
142	0.999872525660928	0.000254948678143934	0.000127474339071967
143	0.999870611469424	0.000258777061151417	0.000129388530575709
144	0.99993069814101	0.000138603717980659	6.93018589903297e-05
145	0.999953249924151	9.35001516978792e-05	4.67500758489396e-05
146	0.999939419528864	0.000121160942271571	6.05804711357855e-05
147	0.999961426975452	7.71460490951045e-05	3.85730245475522e-05
148	0.999956309860543	8.73802789145381e-05	4.36901394572691e-05
149	0.999947618954995	0.000104762090010145	5.23810450050724e-05
150	0.999927417111828	0.000145165776343396	7.25828881716978e-05
151	0.999939827305706	0.0001203453885884	6.01726942941998e-05
152	0.999918842791578	0.000162314416843576	8.1157208421788e-05
153	0.99989736024345	0.000205279513100937	0.000102639756550468
154	0.999855168411415	0.000289663177170958	0.000144831588585479
155	0.999911499396818	0.000177001206363496	8.85006031817481e-05
156	0.999889224795292	0.0002215504094164	0.0001107752047082
157	0.999845175981934	0.000309648036131623	0.000154824018065811
158	0.999863277563834	0.000273444872331385	0.000136722436165693
159	0.999894079278667	0.000211841442665432	0.000105920721332716
160	0.999861846372065	0.000276307255869809	0.000138153627934905
161	0.999812560213338	0.000374879573323402	0.000187439786661701
162	0.999796941117771	0.000406117764457791	0.000203058882228896
163	0.999785935223891	0.00042812955221866	0.00021406477610933
164	0.999791520250502	0.000416959498995797	0.000208479749497899
165	0.999777391216014	0.000445217567972731	0.000222608783986365
166	0.999774633101669	0.000450733796662708	0.000225366898331354
167	0.999707479555854	0.000585040888291335	0.000292520444145668
168	0.999699549358706	0.000600901282588716	0.000300450641294358
169	0.999609077915649	0.000781844168702457	0.000390922084351229
170	0.999988061190729	2.38776185425169e-05	1.19388092712584e-05
171	0.999983856950013	3.22860999738946e-05	1.61430499869473e-05
172	0.999983087738816	3.382452236762e-05	1.691226118381e-05
173	0.999995124671057	9.75065788519745e-06	4.87532894259873e-06
174	0.999998898067327	2.2038653455958e-06	1.1019326727979e-06
175	0.999999163259206	1.67348158749621e-06	8.36740793748106e-07
176	0.999998778610734	2.44277853226513e-06	1.22138926613257e-06
177	0.999998753738419	2.492523161588e-06	1.246261580794e-06
178	0.999998555619266	2.88876146859296e-06	1.44438073429648e-06
179	0.999997845139233	4.30972153409266e-06	2.15486076704633e-06
180	0.999998320048787	3.35990242537601e-06	1.67995121268801e-06
181	0.999997550848342	4.89830331620997e-06	2.44915165810498e-06
182	0.999998364643275	3.27071344977065e-06	1.63535672488532e-06
183	0.999997386504903	5.22699019316819e-06	2.6134950965841e-06
184	0.999997090516419	5.81896716180353e-06	2.90948358090177e-06
185	0.999996570480313	6.85903937381476e-06	3.42951968690738e-06
186	0.999994874049985	1.02519000291869e-05	5.12595001459344e-06
187	0.999993180864291	1.36382714172337e-05	6.81913570861685e-06
188	0.999989471695383	2.10566092333448e-05	1.05283046166724e-05
189	0.99998561710417	2.87657916608104e-05	1.43828958304052e-05
190	0.999988701809705	2.25963805894531e-05	1.12981902947266e-05
191	0.999999658072952	6.83854095892214e-07	3.41927047946107e-07
192	0.999999427896679	1.14420664147003e-06	5.72103320735016e-07
193	0.999999090652127	1.818695745276e-06	9.09347872637999e-07
194	0.999998660151921	2.67969615835487e-06	1.33984807917744e-06
195	0.999998621588789	2.75682242206057e-06	1.37841121103029e-06
196	0.999998785618995	2.4287620091319e-06	1.21438100456595e-06
197	0.999998459913327	3.08017334656272e-06	1.54008667328136e-06
198	0.999997720653588	4.55869282416566e-06	2.27934641208283e-06
199	0.999997712581793	4.57483641389853e-06	2.28741820694926e-06
200	0.999996926327663	6.14734467309125e-06	3.07367233654563e-06
201	0.999995862162595	8.27567481074683e-06	4.13783740537341e-06
202	0.999993732754066	1.25344918688693e-05	6.26724593443466e-06
203	0.999993742967905	1.25140641907748e-05	6.25703209538742e-06
204	0.999989937077376	2.01258452471781e-05	1.00629226235891e-05
205	0.999985789633256	2.84207334875934e-05	1.42103667437967e-05
206	0.999977374319741	4.52513605182462e-05	2.26256802591231e-05
207	0.999966894523548	6.62109529039472e-05	3.31054764519736e-05
208	0.999993592419759	1.28151604810939e-05	6.40758024054696e-06
209	0.999997436312542	5.12737491590134e-06	2.56368745795067e-06
210	0.999995706364515	8.58727097033953e-06	4.29363548516976e-06
211	0.999994407465988	1.11850680245223e-05	5.59253401226117e-06
212	0.999999523067191	9.53865618059337e-07	4.76932809029668e-07
213	0.999999369660748	1.2606785032304e-06	6.30339251615201e-07
214	0.999998883969348	2.23206130391595e-06	1.11603065195797e-06
215	0.999998226886286	3.54622742870211e-06	1.77311371435106e-06
216	0.999997048906705	5.90218659072138e-06	2.95109329536069e-06
217	0.999998026514747	3.94697050558333e-06	1.97348525279166e-06
218	0.999996629176544	6.74164691181987e-06	3.37082345590994e-06
219	0.999994160914116	1.16781717682763e-05	5.83908588413813e-06
220	0.99999426526163	1.14694767402423e-05	5.73473837012116e-06
221	0.999990590717709	1.88185645810856e-05	9.40928229054279e-06
222	0.999995838706796	8.3225864074594e-06	4.1612932037297e-06
223	0.999996047909443	7.90418111343617e-06	3.95209055671809e-06
224	0.999993173675466	1.36526490686893e-05	6.82632453434464e-06
225	0.9999885620105	2.2875979000941e-05	1.14379895004705e-05
226	0.999985561276043	2.88774479146523e-05	1.44387239573262e-05
227	0.999984499274164	3.10014516710551e-05	1.55007258355276e-05
228	0.999974151057864	5.16978842718952e-05	2.58489421359476e-05
229	0.999962887462617	7.42250747655892e-05	3.71125373827946e-05
230	0.999966185562916	6.76288741686925e-05	3.38144370843463e-05
231	0.999952896137905	9.42077241891582e-05	4.71038620945791e-05
232	0.99991865267469	0.000162694650620022	8.1347325310011e-05
233	0.99999945496679	1.09006642096382e-06	5.45033210481912e-07
234	0.99999889321445	2.21357110026039e-06	1.10678555013019e-06
235	0.999997857470213	4.28505957399656e-06	2.14252978699828e-06
236	0.99999601981295	7.96037409981266e-06	3.98018704990633e-06
237	0.999999997312288	5.37542398331824e-09	2.68771199165912e-09
238	0.99999999342271	1.31545793214612e-08	6.57728966073061e-09
239	0.999999983511863	3.29762737654597e-08	1.64881368827298e-08
240	0.999999959296411	8.14071788651796e-08	4.07035894325898e-08
241	0.999999937403776	1.25192448828107e-07	6.25962244140533e-08
242	0.999999875127471	2.49745058683276e-07	1.24872529341638e-07
243	0.999999709401345	5.81197309720654e-07	2.90598654860327e-07
244	0.999999333450207	1.33309958593746e-06	6.66549792968728e-07
245	0.999998452479815	3.09504037037232e-06	1.54752018518616e-06
246	0.99999644408564	7.1118287209064e-06	3.5559143604532e-06
247	0.999996175311333	7.64937733402286e-06	3.82468866701143e-06
248	0.999991562402961	1.68751940780138e-05	8.43759703900688e-06
249	0.999990467315029	1.90653699409587e-05	9.53268497047933e-06
250	0.999981411720064	3.71765598724574e-05	1.85882799362287e-05
251	0.999967918571402	6.4162857196253e-05	3.20814285981265e-05
252	0.999930608359855	0.0001387832802898	6.93916401449002e-05
253	0.999850976325919	0.000298047348161534	0.000149023674080767
254	0.99967819126002	0.000643617479959387	0.000321808739979694
255	0.999626401919967	0.00074719616006616	0.00037359808003308
256	0.9992255439731	0.00154891205379899	0.000774456026899497
257	0.998851630933329	0.0022967381333429	0.00114836906667145
258	0.999203743027374	0.00159251394525213	0.000796256972626067
259	0.998336424542361	0.00332715091527831	0.00166357545763915
260	0.997104376842739	0.00579124631452277	0.00289562315726139
261	0.995021066705766	0.00995786658846749	0.00497893329423375
262	0.990049349381057	0.0199013012378862	0.00995065061894308
263	0.985599554526233	0.0288008909475342	0.0144004454737671
264	0.990674279547361	0.0186514409052783	0.00932572045263917
265	0.980353466457816	0.0392930670843684	0.0196465335421842
266	0.977367562765356	0.0452648744692888	0.0226324372346444
267	0.950134831374689	0.0997303372506229	0.0498651686253114
268	0.906621540974488	0.186756918051023	0.0933784590255117
269	0.998412636988565	0.00317472602286935	0.00158736301143468
270	0.997928000770061	0.0041439984598777	0.00207199922993885

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	198	0.785714285714286	NOK
5% type I error level	220	0.873015873015873	NOK
10% type I error level	228	0.904761904761905	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 & 198 & 0.785714285714286 & NOK \tabularnewline
5% type I error level & 220 & 0.873015873015873 & NOK \tabularnewline
10% type I error level & 228 & 0.904761904761905 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=190422&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]198[/C][C]0.785714285714286[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]220[/C][C]0.873015873015873[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]228[/C][C]0.904761904761905[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=190422&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=190422&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	198	0.785714285714286	NOK
5% type I error level	220	0.873015873015873	NOK
10% type I error level	228	0.904761904761905	NOK

Figure 1

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Figure 5

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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 = 2 ; par2 = Do not include Seasonal Dummies ; par3 = Linear Trend ;

Parameters (R input):

par1 = 2 ; par2 = Do not include Seasonal Dummies ; par3 = 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