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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationThu, 13 Dec 2012 16:41:34 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/13/t135543491981wf95i2cvl5nw3.htm/, Retrieved Sun, 28 Apr 2024 21:25:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=199440, Retrieved Sun, 28 Apr 2024 21:25:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact123

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Cronbach Alpha] [Intrinsic Motivat...] [2010-10-12 11:40:37] [b98453cac15ba1066b407e146608df68]
- R  D  [Cronbach Alpha] [Extrinsic motivat...] [2011-10-16 14:39:36] [0f81819b439c6e991d1a2004e9982756]
-    D    [Cronbach Alpha] [Extrinsic motivat...] [2011-10-16 14:46:54] [0f81819b439c6e991d1a2004e9982756]
-    D      [Cronbach Alpha] [D3: Cronbach's Alpha] [2011-12-16 09:54:21] [0f81819b439c6e991d1a2004e9982756]
- RMPD        [Multiple Regression] [paper - MR3] [2011-12-16 11:35:48] [7e261c986c934df955dd3ac53e9d45c6]
- R             [Multiple Regression] [D3: MR] [2011-12-16 12:18:05] [0f81819b439c6e991d1a2004e9982756]
-                 [Multiple Regression] [D3: MR] [2011-12-16 12:40:37] [0f81819b439c6e991d1a2004e9982756]
- R                   [Multiple Regression] [Paper (11)] [2012-12-13 21:41:34] [6b9eda33bf4cae06c9f9f024b199ddfb] [Current]
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Dataset

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

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time16 seconds
R Server'George Udny Yule' @ yule.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 16 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=199440&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]16 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=199440&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=199440&T=0

As an alternative you can also use a QR Code:  
QR Code


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time16 seconds
R Server'George Udny Yule' @ yule.wessa.net






Multiple Linear Regression - Estimated Regression Equation
pageviews[t] = + 119.488135968163 + 0.00126419468500798time_in_rfc[t] + 1.84972448377853compendium_views_info[t] + 1.61173552015895compendium_views_pr[t] + 1.21710330194045blogged_computations[t] -4.98749331830443compendiums_reviewed[t] + 1.86445362161559feedback_messages_p1[t] -0.0199941559638293feedback_messages_p120[t] + 0.00020813447278443totsize[t] -0.000557975938118171totseconds[t] + 0.264854303986585tothyperlinks[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
pageviews[t] =  +  119.488135968163 +  0.00126419468500798time_in_rfc[t] +  1.84972448377853compendium_views_info[t] +  1.61173552015895compendium_views_pr[t] +  1.21710330194045blogged_computations[t] -4.98749331830443compendiums_reviewed[t] +  1.86445362161559feedback_messages_p1[t] -0.0199941559638293feedback_messages_p120[t] +  0.00020813447278443totsize[t] -0.000557975938118171totseconds[t] +  0.264854303986585tothyperlinks[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=199440&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]pageviews[t] =  +  119.488135968163 +  0.00126419468500798time_in_rfc[t] +  1.84972448377853compendium_views_info[t] +  1.61173552015895compendium_views_pr[t] +  1.21710330194045blogged_computations[t] -4.98749331830443compendiums_reviewed[t] +  1.86445362161559feedback_messages_p1[t] -0.0199941559638293feedback_messages_p120[t] +  0.00020813447278443totsize[t] -0.000557975938118171totseconds[t] +  0.264854303986585tothyperlinks[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=199440&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=199440&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Multiple Linear Regression - Estimated Regression Equation
pageviews[t] = + 119.488135968163 + 0.00126419468500798time_in_rfc[t] + 1.84972448377853compendium_views_info[t] + 1.61173552015895compendium_views_pr[t] + 1.21710330194045blogged_computations[t] -4.98749331830443compendiums_reviewed[t] + 1.86445362161559feedback_messages_p1[t] -0.0199941559638293feedback_messages_p120[t] + 0.00020813447278443totsize[t] -0.000557975938118171totseconds[t] + 0.264854303986585tothyperlinks[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)119.48813596816328.1441874.24563e-051.5e-05
time_in_rfc0.001264194685007980.0004832.61610.009380.00469
compendium_views_info1.849724483778530.09559619.349400
compendium_views_pr1.611735520158950.2513176.413100
blogged_computations1.217103301940450.7203911.68950.0922440.046122
compendiums_reviewed-4.987493318304435.725827-0.87110.3844770.192239
feedback_messages_p11.864453621615591.7410881.07090.2851630.142582
feedback_messages_p120-0.01999415596382930.84465-0.02370.9811320.490566
totsize0.000208134472784430.0005130.40610.6849970.342499
totseconds-0.0005579759381181710.000682-0.8180.4140510.207025
tothyperlinks0.2648543039865850.5574690.47510.6350880.317544

\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) & 119.488135968163 & 28.144187 & 4.2456 & 3e-05 & 1.5e-05 \tabularnewline
time_in_rfc & 0.00126419468500798 & 0.000483 & 2.6161 & 0.00938 & 0.00469 \tabularnewline
compendium_views_info & 1.84972448377853 & 0.095596 & 19.3494 & 0 & 0 \tabularnewline
compendium_views_pr & 1.61173552015895 & 0.251317 & 6.4131 & 0 & 0 \tabularnewline
blogged_computations & 1.21710330194045 & 0.720391 & 1.6895 & 0.092244 & 0.046122 \tabularnewline
compendiums_reviewed & -4.98749331830443 & 5.725827 & -0.8711 & 0.384477 & 0.192239 \tabularnewline
feedback_messages_p1 & 1.86445362161559 & 1.741088 & 1.0709 & 0.285163 & 0.142582 \tabularnewline
feedback_messages_p120 & -0.0199941559638293 & 0.84465 & -0.0237 & 0.981132 & 0.490566 \tabularnewline
totsize & 0.00020813447278443 & 0.000513 & 0.4061 & 0.684997 & 0.342499 \tabularnewline
totseconds & -0.000557975938118171 & 0.000682 & -0.818 & 0.414051 & 0.207025 \tabularnewline
tothyperlinks & 0.264854303986585 & 0.557469 & 0.4751 & 0.635088 & 0.317544 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=199440&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]119.488135968163[/C][C]28.144187[/C][C]4.2456[/C][C]3e-05[/C][C]1.5e-05[/C][/ROW]
[ROW][C]time_in_rfc[/C][C]0.00126419468500798[/C][C]0.000483[/C][C]2.6161[/C][C]0.00938[/C][C]0.00469[/C][/ROW]
[ROW][C]compendium_views_info[/C][C]1.84972448377853[/C][C]0.095596[/C][C]19.3494[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]compendium_views_pr[/C][C]1.61173552015895[/C][C]0.251317[/C][C]6.4131[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]blogged_computations[/C][C]1.21710330194045[/C][C]0.720391[/C][C]1.6895[/C][C]0.092244[/C][C]0.046122[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]-4.98749331830443[/C][C]5.725827[/C][C]-0.8711[/C][C]0.384477[/C][C]0.192239[/C][/ROW]
[ROW][C]feedback_messages_p1[/C][C]1.86445362161559[/C][C]1.741088[/C][C]1.0709[/C][C]0.285163[/C][C]0.142582[/C][/ROW]
[ROW][C]feedback_messages_p120[/C][C]-0.0199941559638293[/C][C]0.84465[/C][C]-0.0237[/C][C]0.981132[/C][C]0.490566[/C][/ROW]
[ROW][C]totsize[/C][C]0.00020813447278443[/C][C]0.000513[/C][C]0.4061[/C][C]0.684997[/C][C]0.342499[/C][/ROW]
[ROW][C]totseconds[/C][C]-0.000557975938118171[/C][C]0.000682[/C][C]-0.818[/C][C]0.414051[/C][C]0.207025[/C][/ROW]
[ROW][C]tothyperlinks[/C][C]0.264854303986585[/C][C]0.557469[/C][C]0.4751[/C][C]0.635088[/C][C]0.317544[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=199440&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=199440&T=2

As an alternative you can also use a QR Code:  
QR Code


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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)119.48813596816328.1441874.24563e-051.5e-05
time_in_rfc0.001264194685007980.0004832.61610.009380.00469
compendium_views_info1.849724483778530.09559619.349400
compendium_views_pr1.611735520158950.2513176.413100
blogged_computations1.217103301940450.7203911.68950.0922440.046122
compendiums_reviewed-4.987493318304435.725827-0.87110.3844770.192239
feedback_messages_p11.864453621615591.7410881.07090.2851630.142582
feedback_messages_p120-0.01999415596382930.84465-0.02370.9811320.490566
totsize0.000208134472784430.0005130.40610.6849970.342499
totseconds-0.0005579759381181710.000682-0.8180.4140510.207025
tothyperlinks0.2648543039865850.5574690.47510.6350880.317544






Multiple Linear Regression - Regression Statistics
Multiple R0.971022305669078
R-squared0.942884318106893
Adjusted R-squared0.940829797175486
F-TEST (value)458.931473363622
F-TEST (DF numerator)10
F-TEST (DF denominator)278
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation179.079179468154
Sum Squared Residuals8915280.00027847

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.971022305669078 \tabularnewline
R-squared & 0.942884318106893 \tabularnewline
Adjusted R-squared & 0.940829797175486 \tabularnewline
F-TEST (value) & 458.931473363622 \tabularnewline
F-TEST (DF numerator) & 10 \tabularnewline
F-TEST (DF denominator) & 278 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 179.079179468154 \tabularnewline
Sum Squared Residuals & 8915280.00027847 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=199440&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.971022305669078[/C][/ROW]
[ROW][C]R-squared[/C][C]0.942884318106893[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.940829797175486[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]458.931473363622[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]10[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]278[/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]179.079179468154[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]8915280.00027847[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=199440&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=199440&T=3

As an alternative you can also use a QR Code:  
QR Code


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

Multiple Linear Regression - Regression Statistics
Multiple R0.971022305669078
R-squared0.942884318106893
Adjusted R-squared0.940829797175486
F-TEST (value)458.931473363622
F-TEST (DF numerator)10
F-TEST (DF denominator)278
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation179.079179468154
Sum Squared Residuals8915280.00027847






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
114181388.103199132629.896800867401
28691032.59692547568-163.596925475676
315301606.25268654861-76.2526865486148
421722535.10568714881-363.105687148812
5901894.7190363483326.28096365166763
6463568.394490475832-105.394490475832
732013752.79617950305-551.796179503046
8371472.125935415036-101.125935415036
911921125.7942163469566.2057836530541
1015831727.96806083354-144.968060833542
1114391482.63991998254-43.6399199825354
1217641882.05314829765-118.053148297651
1314951463.782683331531.2173166684977
1413731424.28301505198-51.2830150519819
1521872408.80806034091-221.808060340913
1614911452.4362780821938.563721917812
1740413625.2345112898415.765488710202
1817061793.06096291458-87.0609629145827
1921522276.05592382799-124.055923827991
2010361206.74778310144-170.74778310144
2118821717.38573448135164.614265518654
2219291888.8358185798240.1641814201771
2322422595.8940310278-353.894031027799
2412201218.726194241021.27380575897852
2512891326.73155457878-37.7315545787848
2625152562.20884832945-47.2088483294511
2721472061.169672356885.8303276432029
2823522322.7456041093829.2543958906228
2916381600.3294304510537.6705695489515
3012221314.88673947229-92.8867394722902
3118121988.06937912182-176.069379121818
3216771801.13642302971-124.13642302971
3315791574.556695698824.44330430117851
3417311872.40785121596-141.407851215956
35807878.279277997559-71.2792779975585
3624522593.18157533444-141.181575334443
37829799.53612682076829.4638731792318
3819402147.22088664851-207.220886648512
3926622493.3809583594168.619041640601
40186258.872286182579-72.872286182579
4114991482.4733766847316.5266233152741
42865826.6243327788338.3756672211699
4317931445.74927460233347.250725397673
4425272390.1685030573136.831496942697
4527473024.67037259401-277.670372594009
4613241531.64239921245-207.642399212448
4727022313.3991648444388.600835155595
4813831502.97281924283-119.972819242831
4911791085.5706709641293.4293290358818
5020992025.2157617708573.7842382291509
5143084902.68330623355-594.683306233554
52918948.267768930545-30.2677689305445
5318311677.90219782078153.097802179217
5433733020.85593985663352.144060143365
5517131926.41915731277-213.419157312771
5614381362.0540428368675.9459571631446
57496592.256862734214-96.2568627342142
5822532207.4204186404245.5795813595758
59744765.033387949247-21.0333879492465
6011611253.01013078938-92.0101307893821
6123522314.9429838041337.0570161958694
6221441782.38300307843361.616996921572
6346913346.984664398121344.01533560188
6411121108.805804909093.19419509091225
6526942371.49211465827322.507885341734
6619732192.15798210883-219.157982108828
6717691854.14415186871-85.1441518687133
6831482778.15154094227369.848459057726
6924742472.868871026421.13112897358265
7020842166.33865043742-82.3386504374177
7119541885.6791040993268.3208959006792
7212261464.92124371391-238.921243713906
7313891245.29561492449143.704385075506
7414961380.3241441555115.6758558445
7522691948.80348157562320.19651842438
7618331947.45165760526-114.451657605256
7712681387.75341420712-119.753414207124
7819431820.69238896325122.307611036751
798931060.58830894004-167.588308940039
8017621666.1461390735395.8538609264668
8114031738.15826959897-335.158269598972
8214251486.01667857291-61.016678572907
8318572303.5506058104-446.550605810403
8418402021.06369353709-181.063693537091
8515021356.26484419865145.735155801351
8614411385.6552107114255.3447892885823
8714201538.838763522-118.838763522004
8814161387.9600640049828.0399359950161
8929702784.66612502748185.333874972515
9013171620.66557524738-303.665575247379
9116441404.49524074196239.504759258044
928701147.80566379634-277.805663796339
9316541923.32680846311-269.326808463112
9410541068.67504960173-14.6750496017344
95937865.11811912653871.8818808734624
9630043162.09954777347-158.099547773466
9720081987.3440827677520.6559172322532
9825472348.49764260745198.502357392546
9918851789.2039067690695.7960932309442
10016261628.67603829445-2.67603829444538
10114681369.6916332752398.3083667247693
10224452382.1455288185862.8544711814166
10319642178.80666435447-214.806664354472
10413811461.21857558871-80.2185755887083
10513691461.35235205483-92.3523520548293
10616591827.0151344334-168.015134433396
10728882565.56426151608322.435738483924
10812901074.1293491618215.870650838196
10928452931.98525529454-86.9852552945432
11019821921.0833894871860.9166105128214
11119042032.33400893048-128.334008930482
11213911346.4442408914344.5557591085703
113602702.64422563841-100.64422563841
11417431648.4334221875694.5665778124351
11515591628.82907444243-69.8290744424251
11620142353.99754357073-339.997543570727
11721432243.89651931007-100.896519310067
11821461984.31969475554161.680305244456
119874858.86609014573115.133909854269
12015901438.61960435841151.38039564159
12115901454.60414539414135.395854605861
12212101156.1045823815853.8954176184155
12320721988.347219938883.6527800612031
12412811285.61720773058-4.61720773057959
12514011435.64379997836-34.6437999783619
126834776.18144397437957.8185560256206
12711051093.4442803076811.5557196923186
12812721084.16884763681187.83115236319
12919441884.1924863755259.8075136244824
130391457.364531094698-66.364531094698
131761687.04117709557273.9588229044276
13216051642.45162665738-37.4516266573817
133530625.037331334917-95.0373313349171
13419881680.60170244944307.398297550556
13513861371.3082857459214.6917142540788
13623952566.73710929052-171.737109290518
137387421.798605274025-34.798605274025
13817421870.16782122722-128.167821227222
139620590.41440147666929.5855985233309
140449598.971102634772-149.971102634772
141800785.90536081460714.0946391853934
14216841444.38269802453239.617301975473
14310501159.9817768-109.9817768
14426992592.06619548056106.933804519442
14516061606.48353932014-0.483539320141999
14615021306.1114313337195.888568666296
14712041243.07247206379-39.0724720637913
14811381159.89171677118-21.891716771185
149568789.887808076007-221.887808076007
15014591540.62438677629-81.6243867762886
15121582330.80696037357-172.806960373569
15211111280.70003192548-169.700031925481
15314211242.26902762257178.730972377429
15428333270.38503520491-437.385035204909
15519552089.74980469727-134.749804697271
15629222848.2078572159373.792142784072
15710021240.21965336971-238.219653369713
15810601260.8844159763-200.8844159763
1599561027.64254670121-71.6425467012103
16021862089.2096003168496.7903996831646
16136043321.40077154873282.599228451274
16210351098.76403275611-63.7640327561142
16314171305.96981016769111.030189832315
16432613529.01760679409-268.017606794094
16515871597.73902051197-10.7390205119744
16614241536.39500894761-112.395008947611
16717011799.90997585677-98.9099758567658
16812491306.05457772039-57.0545777203949
169946844.55603796716101.44396203284
17019261806.59542902849119.40457097151
17133523351.54932277560.450677224400944
17216411696.53247389422-55.5324738942234
17320351819.36130402148215.638695978521
17423122123.74582129102188.254178708976
17513691549.17957373471-180.179573734714
17615771690.55204822717-113.552048227169
17722012195.591256789995.40874321001096
178961985.849937632366-24.8499376323656
17919001843.2852162584756.7147837415271
18012541305.97627456492-51.9762745649167
18113351170.32655726332164.673442736681
18215971410.90202385361186.097976146391
183207298.291904644157-91.2919046441573
18416451569.8547762042375.1452237957653
18524292323.42278981712105.577210182877
186151273.551099458596-122.551099458596
187474678.938567645032-204.938567645032
188141273.859523998242-132.859523998242
18916391432.85695791005206.14304208995
190872891.537708273589-19.5377082735889
19113181275.9376277164442.0623722835617
19210181205.94692947961-187.946929479612
19313831275.71797231129107.282027688713
19413141162.55761235084151.442387649165
19513351391.34364368852-56.3436436885156
19614031326.4788273108976.5211726891079
1979101032.36230799407-122.362307994072
198616716.165822921926-100.165822921926
19914071428.53917262105-21.5391726210546
200771819.109306334625-48.1093063346255
201766700.52103359283265.4789664071676
202473519.27031455387-46.2703145538704
20313761400.14332042742-24.1433204274242
20412321174.0639939267757.936006073233
20515211536.44406481006-15.4440648100649
206572598.456872397065-26.456872397065
2071059874.871051083828184.128948916172
20815441642.42745230539-98.4274523053923
20912301216.4275098722713.5724901277257
21012061245.375950786-39.375950786001
21112051084.68522565888120.314774341119
21212551048.99534737298206.004652627024
213613668.239021808584-55.2390218085837
214721780.172110532508-59.1721105325081
21511091027.6213718961481.3786281038624
216740717.32281234943522.6771876505652
21711261099.9906023048526.0093976951517
218728767.863383574442-39.8633835744422
219689737.014580863607-48.014580863607
220592679.961149598357-87.9611495983575
221995942.78434141969752.215658580303
22216131124.17825458173488.821745418274
22320481735.62287291642312.377127083578
224705676.16549414044928.834505859551
225301434.52494238248-133.52494238248
22618031634.43961512424168.560384875757
227799818.085873158278-19.085873158278
228861928.042586325817-67.0425863258169
22911861012.66257757484173.337422425157
23014511169.77481501432281.225184985676
231628587.0431144519640.9568855480404
2321161969.480588036815191.519411963185
23314631313.41574167576149.58425832424
234742754.881098217012-12.8810982170115
2359791028.77304663424-49.7730466342433
236675648.00249279817326.9975072018275
23712411270.1981413663-29.1981413663019
238676681.089758994893-5.08975899489329
23910491106.28693376257-57.2869337625674
240620680.364328897652-60.364328897652
24110811003.8378717502177.1621282497868
24216881166.09124787112521.90875212888
243736677.02507843154158.9749215684586
244617671.080150674913-54.080150674913
245812870.003431530504-58.0034315305038
24610511078.25677854156-27.2567785415582
24716561372.2248314044283.775168595596
248705777.94769494992-72.9476949499201
2499451021.93131152042-76.9313115204165
250554644.639525892138-90.6395258921384
25115971551.726752700145.2732472999025
2529821005.22625174648-23.2262517464801
253222305.780212111702-83.7802121117018
25412121184.3983278837627.6016721162396
25511431206.36462173116-63.3646217311581
256435522.197969456535-87.1979694565349
257532564.093829401173-32.0938294011728
258882956.372286892582-74.3722868925818
259608591.76170703484416.2382929651564
260459437.21466897436621.7853310256336
261578627.278265443137-49.2782654431373
262826812.89777394331413.1022260566858
263509457.51338671431651.4866132856844
264717688.72795274877728.2720472512233
265637673.169036973719-36.1690369737185
266857871.914303706849-14.9143037068489
267830847.825814259625-17.8258142596245
268652750.789611210475-98.7896112104746
269707848.160238584713-141.160238584713
270954997.045481203462-43.0454812034617
27114611264.72203567154196.277964328461
272672765.471141669808-93.4711416698078
273778825.927745055543-47.9277450555429
27411411100.7178062116340.2821937883713
275680634.81906147769745.180938522303
2761090971.557231490933118.442768509067
277616557.76771638229258.2322836177081
278285329.164395010559-44.1643950105588
27911451032.24863601852112.751363981475
280733836.82826083226-103.82826083226
281888960.432529492343-72.4325294923426
282849879.222886123878-30.2228861238776
28311821182.05604488659-0.0560448865887678
284528578.784935174209-50.7849351742087
285642740.977420858424-98.9774208584242
286947600.918156620261346.081843379739
287819723.03000501317995.9699949868212
288757673.17960594875283.8203940512476
289894941.300081214005-47.3000812140052

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 1418 & 1388.1031991326 & 29.896800867401 \tabularnewline
2 & 869 & 1032.59692547568 & -163.596925475676 \tabularnewline
3 & 1530 & 1606.25268654861 & -76.2526865486148 \tabularnewline
4 & 2172 & 2535.10568714881 & -363.105687148812 \tabularnewline
5 & 901 & 894.719036348332 & 6.28096365166763 \tabularnewline
6 & 463 & 568.394490475832 & -105.394490475832 \tabularnewline
7 & 3201 & 3752.79617950305 & -551.796179503046 \tabularnewline
8 & 371 & 472.125935415036 & -101.125935415036 \tabularnewline
9 & 1192 & 1125.79421634695 & 66.2057836530541 \tabularnewline
10 & 1583 & 1727.96806083354 & -144.968060833542 \tabularnewline
11 & 1439 & 1482.63991998254 & -43.6399199825354 \tabularnewline
12 & 1764 & 1882.05314829765 & -118.053148297651 \tabularnewline
13 & 1495 & 1463.7826833315 & 31.2173166684977 \tabularnewline
14 & 1373 & 1424.28301505198 & -51.2830150519819 \tabularnewline
15 & 2187 & 2408.80806034091 & -221.808060340913 \tabularnewline
16 & 1491 & 1452.43627808219 & 38.563721917812 \tabularnewline
17 & 4041 & 3625.2345112898 & 415.765488710202 \tabularnewline
18 & 1706 & 1793.06096291458 & -87.0609629145827 \tabularnewline
19 & 2152 & 2276.05592382799 & -124.055923827991 \tabularnewline
20 & 1036 & 1206.74778310144 & -170.74778310144 \tabularnewline
21 & 1882 & 1717.38573448135 & 164.614265518654 \tabularnewline
22 & 1929 & 1888.83581857982 & 40.1641814201771 \tabularnewline
23 & 2242 & 2595.8940310278 & -353.894031027799 \tabularnewline
24 & 1220 & 1218.72619424102 & 1.27380575897852 \tabularnewline
25 & 1289 & 1326.73155457878 & -37.7315545787848 \tabularnewline
26 & 2515 & 2562.20884832945 & -47.2088483294511 \tabularnewline
27 & 2147 & 2061.1696723568 & 85.8303276432029 \tabularnewline
28 & 2352 & 2322.74560410938 & 29.2543958906228 \tabularnewline
29 & 1638 & 1600.32943045105 & 37.6705695489515 \tabularnewline
30 & 1222 & 1314.88673947229 & -92.8867394722902 \tabularnewline
31 & 1812 & 1988.06937912182 & -176.069379121818 \tabularnewline
32 & 1677 & 1801.13642302971 & -124.13642302971 \tabularnewline
33 & 1579 & 1574.55669569882 & 4.44330430117851 \tabularnewline
34 & 1731 & 1872.40785121596 & -141.407851215956 \tabularnewline
35 & 807 & 878.279277997559 & -71.2792779975585 \tabularnewline
36 & 2452 & 2593.18157533444 & -141.181575334443 \tabularnewline
37 & 829 & 799.536126820768 & 29.4638731792318 \tabularnewline
38 & 1940 & 2147.22088664851 & -207.220886648512 \tabularnewline
39 & 2662 & 2493.3809583594 & 168.619041640601 \tabularnewline
40 & 186 & 258.872286182579 & -72.872286182579 \tabularnewline
41 & 1499 & 1482.47337668473 & 16.5266233152741 \tabularnewline
42 & 865 & 826.62433277883 & 38.3756672211699 \tabularnewline
43 & 1793 & 1445.74927460233 & 347.250725397673 \tabularnewline
44 & 2527 & 2390.1685030573 & 136.831496942697 \tabularnewline
45 & 2747 & 3024.67037259401 & -277.670372594009 \tabularnewline
46 & 1324 & 1531.64239921245 & -207.642399212448 \tabularnewline
47 & 2702 & 2313.3991648444 & 388.600835155595 \tabularnewline
48 & 1383 & 1502.97281924283 & -119.972819242831 \tabularnewline
49 & 1179 & 1085.57067096412 & 93.4293290358818 \tabularnewline
50 & 2099 & 2025.21576177085 & 73.7842382291509 \tabularnewline
51 & 4308 & 4902.68330623355 & -594.683306233554 \tabularnewline
52 & 918 & 948.267768930545 & -30.2677689305445 \tabularnewline
53 & 1831 & 1677.90219782078 & 153.097802179217 \tabularnewline
54 & 3373 & 3020.85593985663 & 352.144060143365 \tabularnewline
55 & 1713 & 1926.41915731277 & -213.419157312771 \tabularnewline
56 & 1438 & 1362.05404283686 & 75.9459571631446 \tabularnewline
57 & 496 & 592.256862734214 & -96.2568627342142 \tabularnewline
58 & 2253 & 2207.42041864042 & 45.5795813595758 \tabularnewline
59 & 744 & 765.033387949247 & -21.0333879492465 \tabularnewline
60 & 1161 & 1253.01013078938 & -92.0101307893821 \tabularnewline
61 & 2352 & 2314.94298380413 & 37.0570161958694 \tabularnewline
62 & 2144 & 1782.38300307843 & 361.616996921572 \tabularnewline
63 & 4691 & 3346.98466439812 & 1344.01533560188 \tabularnewline
64 & 1112 & 1108.80580490909 & 3.19419509091225 \tabularnewline
65 & 2694 & 2371.49211465827 & 322.507885341734 \tabularnewline
66 & 1973 & 2192.15798210883 & -219.157982108828 \tabularnewline
67 & 1769 & 1854.14415186871 & -85.1441518687133 \tabularnewline
68 & 3148 & 2778.15154094227 & 369.848459057726 \tabularnewline
69 & 2474 & 2472.86887102642 & 1.13112897358265 \tabularnewline
70 & 2084 & 2166.33865043742 & -82.3386504374177 \tabularnewline
71 & 1954 & 1885.67910409932 & 68.3208959006792 \tabularnewline
72 & 1226 & 1464.92124371391 & -238.921243713906 \tabularnewline
73 & 1389 & 1245.29561492449 & 143.704385075506 \tabularnewline
74 & 1496 & 1380.3241441555 & 115.6758558445 \tabularnewline
75 & 2269 & 1948.80348157562 & 320.19651842438 \tabularnewline
76 & 1833 & 1947.45165760526 & -114.451657605256 \tabularnewline
77 & 1268 & 1387.75341420712 & -119.753414207124 \tabularnewline
78 & 1943 & 1820.69238896325 & 122.307611036751 \tabularnewline
79 & 893 & 1060.58830894004 & -167.588308940039 \tabularnewline
80 & 1762 & 1666.14613907353 & 95.8538609264668 \tabularnewline
81 & 1403 & 1738.15826959897 & -335.158269598972 \tabularnewline
82 & 1425 & 1486.01667857291 & -61.016678572907 \tabularnewline
83 & 1857 & 2303.5506058104 & -446.550605810403 \tabularnewline
84 & 1840 & 2021.06369353709 & -181.063693537091 \tabularnewline
85 & 1502 & 1356.26484419865 & 145.735155801351 \tabularnewline
86 & 1441 & 1385.65521071142 & 55.3447892885823 \tabularnewline
87 & 1420 & 1538.838763522 & -118.838763522004 \tabularnewline
88 & 1416 & 1387.96006400498 & 28.0399359950161 \tabularnewline
89 & 2970 & 2784.66612502748 & 185.333874972515 \tabularnewline
90 & 1317 & 1620.66557524738 & -303.665575247379 \tabularnewline
91 & 1644 & 1404.49524074196 & 239.504759258044 \tabularnewline
92 & 870 & 1147.80566379634 & -277.805663796339 \tabularnewline
93 & 1654 & 1923.32680846311 & -269.326808463112 \tabularnewline
94 & 1054 & 1068.67504960173 & -14.6750496017344 \tabularnewline
95 & 937 & 865.118119126538 & 71.8818808734624 \tabularnewline
96 & 3004 & 3162.09954777347 & -158.099547773466 \tabularnewline
97 & 2008 & 1987.34408276775 & 20.6559172322532 \tabularnewline
98 & 2547 & 2348.49764260745 & 198.502357392546 \tabularnewline
99 & 1885 & 1789.20390676906 & 95.7960932309442 \tabularnewline
100 & 1626 & 1628.67603829445 & -2.67603829444538 \tabularnewline
101 & 1468 & 1369.69163327523 & 98.3083667247693 \tabularnewline
102 & 2445 & 2382.14552881858 & 62.8544711814166 \tabularnewline
103 & 1964 & 2178.80666435447 & -214.806664354472 \tabularnewline
104 & 1381 & 1461.21857558871 & -80.2185755887083 \tabularnewline
105 & 1369 & 1461.35235205483 & -92.3523520548293 \tabularnewline
106 & 1659 & 1827.0151344334 & -168.015134433396 \tabularnewline
107 & 2888 & 2565.56426151608 & 322.435738483924 \tabularnewline
108 & 1290 & 1074.1293491618 & 215.870650838196 \tabularnewline
109 & 2845 & 2931.98525529454 & -86.9852552945432 \tabularnewline
110 & 1982 & 1921.08338948718 & 60.9166105128214 \tabularnewline
111 & 1904 & 2032.33400893048 & -128.334008930482 \tabularnewline
112 & 1391 & 1346.44424089143 & 44.5557591085703 \tabularnewline
113 & 602 & 702.64422563841 & -100.64422563841 \tabularnewline
114 & 1743 & 1648.43342218756 & 94.5665778124351 \tabularnewline
115 & 1559 & 1628.82907444243 & -69.8290744424251 \tabularnewline
116 & 2014 & 2353.99754357073 & -339.997543570727 \tabularnewline
117 & 2143 & 2243.89651931007 & -100.896519310067 \tabularnewline
118 & 2146 & 1984.31969475554 & 161.680305244456 \tabularnewline
119 & 874 & 858.866090145731 & 15.133909854269 \tabularnewline
120 & 1590 & 1438.61960435841 & 151.38039564159 \tabularnewline
121 & 1590 & 1454.60414539414 & 135.395854605861 \tabularnewline
122 & 1210 & 1156.10458238158 & 53.8954176184155 \tabularnewline
123 & 2072 & 1988.3472199388 & 83.6527800612031 \tabularnewline
124 & 1281 & 1285.61720773058 & -4.61720773057959 \tabularnewline
125 & 1401 & 1435.64379997836 & -34.6437999783619 \tabularnewline
126 & 834 & 776.181443974379 & 57.8185560256206 \tabularnewline
127 & 1105 & 1093.44428030768 & 11.5557196923186 \tabularnewline
128 & 1272 & 1084.16884763681 & 187.83115236319 \tabularnewline
129 & 1944 & 1884.19248637552 & 59.8075136244824 \tabularnewline
130 & 391 & 457.364531094698 & -66.364531094698 \tabularnewline
131 & 761 & 687.041177095572 & 73.9588229044276 \tabularnewline
132 & 1605 & 1642.45162665738 & -37.4516266573817 \tabularnewline
133 & 530 & 625.037331334917 & -95.0373313349171 \tabularnewline
134 & 1988 & 1680.60170244944 & 307.398297550556 \tabularnewline
135 & 1386 & 1371.30828574592 & 14.6917142540788 \tabularnewline
136 & 2395 & 2566.73710929052 & -171.737109290518 \tabularnewline
137 & 387 & 421.798605274025 & -34.798605274025 \tabularnewline
138 & 1742 & 1870.16782122722 & -128.167821227222 \tabularnewline
139 & 620 & 590.414401476669 & 29.5855985233309 \tabularnewline
140 & 449 & 598.971102634772 & -149.971102634772 \tabularnewline
141 & 800 & 785.905360814607 & 14.0946391853934 \tabularnewline
142 & 1684 & 1444.38269802453 & 239.617301975473 \tabularnewline
143 & 1050 & 1159.9817768 & -109.9817768 \tabularnewline
144 & 2699 & 2592.06619548056 & 106.933804519442 \tabularnewline
145 & 1606 & 1606.48353932014 & -0.483539320141999 \tabularnewline
146 & 1502 & 1306.1114313337 & 195.888568666296 \tabularnewline
147 & 1204 & 1243.07247206379 & -39.0724720637913 \tabularnewline
148 & 1138 & 1159.89171677118 & -21.891716771185 \tabularnewline
149 & 568 & 789.887808076007 & -221.887808076007 \tabularnewline
150 & 1459 & 1540.62438677629 & -81.6243867762886 \tabularnewline
151 & 2158 & 2330.80696037357 & -172.806960373569 \tabularnewline
152 & 1111 & 1280.70003192548 & -169.700031925481 \tabularnewline
153 & 1421 & 1242.26902762257 & 178.730972377429 \tabularnewline
154 & 2833 & 3270.38503520491 & -437.385035204909 \tabularnewline
155 & 1955 & 2089.74980469727 & -134.749804697271 \tabularnewline
156 & 2922 & 2848.20785721593 & 73.792142784072 \tabularnewline
157 & 1002 & 1240.21965336971 & -238.219653369713 \tabularnewline
158 & 1060 & 1260.8844159763 & -200.8844159763 \tabularnewline
159 & 956 & 1027.64254670121 & -71.6425467012103 \tabularnewline
160 & 2186 & 2089.20960031684 & 96.7903996831646 \tabularnewline
161 & 3604 & 3321.40077154873 & 282.599228451274 \tabularnewline
162 & 1035 & 1098.76403275611 & -63.7640327561142 \tabularnewline
163 & 1417 & 1305.96981016769 & 111.030189832315 \tabularnewline
164 & 3261 & 3529.01760679409 & -268.017606794094 \tabularnewline
165 & 1587 & 1597.73902051197 & -10.7390205119744 \tabularnewline
166 & 1424 & 1536.39500894761 & -112.395008947611 \tabularnewline
167 & 1701 & 1799.90997585677 & -98.9099758567658 \tabularnewline
168 & 1249 & 1306.05457772039 & -57.0545777203949 \tabularnewline
169 & 946 & 844.55603796716 & 101.44396203284 \tabularnewline
170 & 1926 & 1806.59542902849 & 119.40457097151 \tabularnewline
171 & 3352 & 3351.5493227756 & 0.450677224400944 \tabularnewline
172 & 1641 & 1696.53247389422 & -55.5324738942234 \tabularnewline
173 & 2035 & 1819.36130402148 & 215.638695978521 \tabularnewline
174 & 2312 & 2123.74582129102 & 188.254178708976 \tabularnewline
175 & 1369 & 1549.17957373471 & -180.179573734714 \tabularnewline
176 & 1577 & 1690.55204822717 & -113.552048227169 \tabularnewline
177 & 2201 & 2195.59125678999 & 5.40874321001096 \tabularnewline
178 & 961 & 985.849937632366 & -24.8499376323656 \tabularnewline
179 & 1900 & 1843.28521625847 & 56.7147837415271 \tabularnewline
180 & 1254 & 1305.97627456492 & -51.9762745649167 \tabularnewline
181 & 1335 & 1170.32655726332 & 164.673442736681 \tabularnewline
182 & 1597 & 1410.90202385361 & 186.097976146391 \tabularnewline
183 & 207 & 298.291904644157 & -91.2919046441573 \tabularnewline
184 & 1645 & 1569.85477620423 & 75.1452237957653 \tabularnewline
185 & 2429 & 2323.42278981712 & 105.577210182877 \tabularnewline
186 & 151 & 273.551099458596 & -122.551099458596 \tabularnewline
187 & 474 & 678.938567645032 & -204.938567645032 \tabularnewline
188 & 141 & 273.859523998242 & -132.859523998242 \tabularnewline
189 & 1639 & 1432.85695791005 & 206.14304208995 \tabularnewline
190 & 872 & 891.537708273589 & -19.5377082735889 \tabularnewline
191 & 1318 & 1275.93762771644 & 42.0623722835617 \tabularnewline
192 & 1018 & 1205.94692947961 & -187.946929479612 \tabularnewline
193 & 1383 & 1275.71797231129 & 107.282027688713 \tabularnewline
194 & 1314 & 1162.55761235084 & 151.442387649165 \tabularnewline
195 & 1335 & 1391.34364368852 & -56.3436436885156 \tabularnewline
196 & 1403 & 1326.47882731089 & 76.5211726891079 \tabularnewline
197 & 910 & 1032.36230799407 & -122.362307994072 \tabularnewline
198 & 616 & 716.165822921926 & -100.165822921926 \tabularnewline
199 & 1407 & 1428.53917262105 & -21.5391726210546 \tabularnewline
200 & 771 & 819.109306334625 & -48.1093063346255 \tabularnewline
201 & 766 & 700.521033592832 & 65.4789664071676 \tabularnewline
202 & 473 & 519.27031455387 & -46.2703145538704 \tabularnewline
203 & 1376 & 1400.14332042742 & -24.1433204274242 \tabularnewline
204 & 1232 & 1174.06399392677 & 57.936006073233 \tabularnewline
205 & 1521 & 1536.44406481006 & -15.4440648100649 \tabularnewline
206 & 572 & 598.456872397065 & -26.456872397065 \tabularnewline
207 & 1059 & 874.871051083828 & 184.128948916172 \tabularnewline
208 & 1544 & 1642.42745230539 & -98.4274523053923 \tabularnewline
209 & 1230 & 1216.42750987227 & 13.5724901277257 \tabularnewline
210 & 1206 & 1245.375950786 & -39.375950786001 \tabularnewline
211 & 1205 & 1084.68522565888 & 120.314774341119 \tabularnewline
212 & 1255 & 1048.99534737298 & 206.004652627024 \tabularnewline
213 & 613 & 668.239021808584 & -55.2390218085837 \tabularnewline
214 & 721 & 780.172110532508 & -59.1721105325081 \tabularnewline
215 & 1109 & 1027.62137189614 & 81.3786281038624 \tabularnewline
216 & 740 & 717.322812349435 & 22.6771876505652 \tabularnewline
217 & 1126 & 1099.99060230485 & 26.0093976951517 \tabularnewline
218 & 728 & 767.863383574442 & -39.8633835744422 \tabularnewline
219 & 689 & 737.014580863607 & -48.014580863607 \tabularnewline
220 & 592 & 679.961149598357 & -87.9611495983575 \tabularnewline
221 & 995 & 942.784341419697 & 52.215658580303 \tabularnewline
222 & 1613 & 1124.17825458173 & 488.821745418274 \tabularnewline
223 & 2048 & 1735.62287291642 & 312.377127083578 \tabularnewline
224 & 705 & 676.165494140449 & 28.834505859551 \tabularnewline
225 & 301 & 434.52494238248 & -133.52494238248 \tabularnewline
226 & 1803 & 1634.43961512424 & 168.560384875757 \tabularnewline
227 & 799 & 818.085873158278 & -19.085873158278 \tabularnewline
228 & 861 & 928.042586325817 & -67.0425863258169 \tabularnewline
229 & 1186 & 1012.66257757484 & 173.337422425157 \tabularnewline
230 & 1451 & 1169.77481501432 & 281.225184985676 \tabularnewline
231 & 628 & 587.04311445196 & 40.9568855480404 \tabularnewline
232 & 1161 & 969.480588036815 & 191.519411963185 \tabularnewline
233 & 1463 & 1313.41574167576 & 149.58425832424 \tabularnewline
234 & 742 & 754.881098217012 & -12.8810982170115 \tabularnewline
235 & 979 & 1028.77304663424 & -49.7730466342433 \tabularnewline
236 & 675 & 648.002492798173 & 26.9975072018275 \tabularnewline
237 & 1241 & 1270.1981413663 & -29.1981413663019 \tabularnewline
238 & 676 & 681.089758994893 & -5.08975899489329 \tabularnewline
239 & 1049 & 1106.28693376257 & -57.2869337625674 \tabularnewline
240 & 620 & 680.364328897652 & -60.364328897652 \tabularnewline
241 & 1081 & 1003.83787175021 & 77.1621282497868 \tabularnewline
242 & 1688 & 1166.09124787112 & 521.90875212888 \tabularnewline
243 & 736 & 677.025078431541 & 58.9749215684586 \tabularnewline
244 & 617 & 671.080150674913 & -54.080150674913 \tabularnewline
245 & 812 & 870.003431530504 & -58.0034315305038 \tabularnewline
246 & 1051 & 1078.25677854156 & -27.2567785415582 \tabularnewline
247 & 1656 & 1372.2248314044 & 283.775168595596 \tabularnewline
248 & 705 & 777.94769494992 & -72.9476949499201 \tabularnewline
249 & 945 & 1021.93131152042 & -76.9313115204165 \tabularnewline
250 & 554 & 644.639525892138 & -90.6395258921384 \tabularnewline
251 & 1597 & 1551.7267527001 & 45.2732472999025 \tabularnewline
252 & 982 & 1005.22625174648 & -23.2262517464801 \tabularnewline
253 & 222 & 305.780212111702 & -83.7802121117018 \tabularnewline
254 & 1212 & 1184.39832788376 & 27.6016721162396 \tabularnewline
255 & 1143 & 1206.36462173116 & -63.3646217311581 \tabularnewline
256 & 435 & 522.197969456535 & -87.1979694565349 \tabularnewline
257 & 532 & 564.093829401173 & -32.0938294011728 \tabularnewline
258 & 882 & 956.372286892582 & -74.3722868925818 \tabularnewline
259 & 608 & 591.761707034844 & 16.2382929651564 \tabularnewline
260 & 459 & 437.214668974366 & 21.7853310256336 \tabularnewline
261 & 578 & 627.278265443137 & -49.2782654431373 \tabularnewline
262 & 826 & 812.897773943314 & 13.1022260566858 \tabularnewline
263 & 509 & 457.513386714316 & 51.4866132856844 \tabularnewline
264 & 717 & 688.727952748777 & 28.2720472512233 \tabularnewline
265 & 637 & 673.169036973719 & -36.1690369737185 \tabularnewline
266 & 857 & 871.914303706849 & -14.9143037068489 \tabularnewline
267 & 830 & 847.825814259625 & -17.8258142596245 \tabularnewline
268 & 652 & 750.789611210475 & -98.7896112104746 \tabularnewline
269 & 707 & 848.160238584713 & -141.160238584713 \tabularnewline
270 & 954 & 997.045481203462 & -43.0454812034617 \tabularnewline
271 & 1461 & 1264.72203567154 & 196.277964328461 \tabularnewline
272 & 672 & 765.471141669808 & -93.4711416698078 \tabularnewline
273 & 778 & 825.927745055543 & -47.9277450555429 \tabularnewline
274 & 1141 & 1100.71780621163 & 40.2821937883713 \tabularnewline
275 & 680 & 634.819061477697 & 45.180938522303 \tabularnewline
276 & 1090 & 971.557231490933 & 118.442768509067 \tabularnewline
277 & 616 & 557.767716382292 & 58.2322836177081 \tabularnewline
278 & 285 & 329.164395010559 & -44.1643950105588 \tabularnewline
279 & 1145 & 1032.24863601852 & 112.751363981475 \tabularnewline
280 & 733 & 836.82826083226 & -103.82826083226 \tabularnewline
281 & 888 & 960.432529492343 & -72.4325294923426 \tabularnewline
282 & 849 & 879.222886123878 & -30.2228861238776 \tabularnewline
283 & 1182 & 1182.05604488659 & -0.0560448865887678 \tabularnewline
284 & 528 & 578.784935174209 & -50.7849351742087 \tabularnewline
285 & 642 & 740.977420858424 & -98.9774208584242 \tabularnewline
286 & 947 & 600.918156620261 & 346.081843379739 \tabularnewline
287 & 819 & 723.030005013179 & 95.9699949868212 \tabularnewline
288 & 757 & 673.179605948752 & 83.8203940512476 \tabularnewline
289 & 894 & 941.300081214005 & -47.3000812140052 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=199440&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]1418[/C][C]1388.1031991326[/C][C]29.896800867401[/C][/ROW]
[ROW][C]2[/C][C]869[/C][C]1032.59692547568[/C][C]-163.596925475676[/C][/ROW]
[ROW][C]3[/C][C]1530[/C][C]1606.25268654861[/C][C]-76.2526865486148[/C][/ROW]
[ROW][C]4[/C][C]2172[/C][C]2535.10568714881[/C][C]-363.105687148812[/C][/ROW]
[ROW][C]5[/C][C]901[/C][C]894.719036348332[/C][C]6.28096365166763[/C][/ROW]
[ROW][C]6[/C][C]463[/C][C]568.394490475832[/C][C]-105.394490475832[/C][/ROW]
[ROW][C]7[/C][C]3201[/C][C]3752.79617950305[/C][C]-551.796179503046[/C][/ROW]
[ROW][C]8[/C][C]371[/C][C]472.125935415036[/C][C]-101.125935415036[/C][/ROW]
[ROW][C]9[/C][C]1192[/C][C]1125.79421634695[/C][C]66.2057836530541[/C][/ROW]
[ROW][C]10[/C][C]1583[/C][C]1727.96806083354[/C][C]-144.968060833542[/C][/ROW]
[ROW][C]11[/C][C]1439[/C][C]1482.63991998254[/C][C]-43.6399199825354[/C][/ROW]
[ROW][C]12[/C][C]1764[/C][C]1882.05314829765[/C][C]-118.053148297651[/C][/ROW]
[ROW][C]13[/C][C]1495[/C][C]1463.7826833315[/C][C]31.2173166684977[/C][/ROW]
[ROW][C]14[/C][C]1373[/C][C]1424.28301505198[/C][C]-51.2830150519819[/C][/ROW]
[ROW][C]15[/C][C]2187[/C][C]2408.80806034091[/C][C]-221.808060340913[/C][/ROW]
[ROW][C]16[/C][C]1491[/C][C]1452.43627808219[/C][C]38.563721917812[/C][/ROW]
[ROW][C]17[/C][C]4041[/C][C]3625.2345112898[/C][C]415.765488710202[/C][/ROW]
[ROW][C]18[/C][C]1706[/C][C]1793.06096291458[/C][C]-87.0609629145827[/C][/ROW]
[ROW][C]19[/C][C]2152[/C][C]2276.05592382799[/C][C]-124.055923827991[/C][/ROW]
[ROW][C]20[/C][C]1036[/C][C]1206.74778310144[/C][C]-170.74778310144[/C][/ROW]
[ROW][C]21[/C][C]1882[/C][C]1717.38573448135[/C][C]164.614265518654[/C][/ROW]
[ROW][C]22[/C][C]1929[/C][C]1888.83581857982[/C][C]40.1641814201771[/C][/ROW]
[ROW][C]23[/C][C]2242[/C][C]2595.8940310278[/C][C]-353.894031027799[/C][/ROW]
[ROW][C]24[/C][C]1220[/C][C]1218.72619424102[/C][C]1.27380575897852[/C][/ROW]
[ROW][C]25[/C][C]1289[/C][C]1326.73155457878[/C][C]-37.7315545787848[/C][/ROW]
[ROW][C]26[/C][C]2515[/C][C]2562.20884832945[/C][C]-47.2088483294511[/C][/ROW]
[ROW][C]27[/C][C]2147[/C][C]2061.1696723568[/C][C]85.8303276432029[/C][/ROW]
[ROW][C]28[/C][C]2352[/C][C]2322.74560410938[/C][C]29.2543958906228[/C][/ROW]
[ROW][C]29[/C][C]1638[/C][C]1600.32943045105[/C][C]37.6705695489515[/C][/ROW]
[ROW][C]30[/C][C]1222[/C][C]1314.88673947229[/C][C]-92.8867394722902[/C][/ROW]
[ROW][C]31[/C][C]1812[/C][C]1988.06937912182[/C][C]-176.069379121818[/C][/ROW]
[ROW][C]32[/C][C]1677[/C][C]1801.13642302971[/C][C]-124.13642302971[/C][/ROW]
[ROW][C]33[/C][C]1579[/C][C]1574.55669569882[/C][C]4.44330430117851[/C][/ROW]
[ROW][C]34[/C][C]1731[/C][C]1872.40785121596[/C][C]-141.407851215956[/C][/ROW]
[ROW][C]35[/C][C]807[/C][C]878.279277997559[/C][C]-71.2792779975585[/C][/ROW]
[ROW][C]36[/C][C]2452[/C][C]2593.18157533444[/C][C]-141.181575334443[/C][/ROW]
[ROW][C]37[/C][C]829[/C][C]799.536126820768[/C][C]29.4638731792318[/C][/ROW]
[ROW][C]38[/C][C]1940[/C][C]2147.22088664851[/C][C]-207.220886648512[/C][/ROW]
[ROW][C]39[/C][C]2662[/C][C]2493.3809583594[/C][C]168.619041640601[/C][/ROW]
[ROW][C]40[/C][C]186[/C][C]258.872286182579[/C][C]-72.872286182579[/C][/ROW]
[ROW][C]41[/C][C]1499[/C][C]1482.47337668473[/C][C]16.5266233152741[/C][/ROW]
[ROW][C]42[/C][C]865[/C][C]826.62433277883[/C][C]38.3756672211699[/C][/ROW]
[ROW][C]43[/C][C]1793[/C][C]1445.74927460233[/C][C]347.250725397673[/C][/ROW]
[ROW][C]44[/C][C]2527[/C][C]2390.1685030573[/C][C]136.831496942697[/C][/ROW]
[ROW][C]45[/C][C]2747[/C][C]3024.67037259401[/C][C]-277.670372594009[/C][/ROW]
[ROW][C]46[/C][C]1324[/C][C]1531.64239921245[/C][C]-207.642399212448[/C][/ROW]
[ROW][C]47[/C][C]2702[/C][C]2313.3991648444[/C][C]388.600835155595[/C][/ROW]
[ROW][C]48[/C][C]1383[/C][C]1502.97281924283[/C][C]-119.972819242831[/C][/ROW]
[ROW][C]49[/C][C]1179[/C][C]1085.57067096412[/C][C]93.4293290358818[/C][/ROW]
[ROW][C]50[/C][C]2099[/C][C]2025.21576177085[/C][C]73.7842382291509[/C][/ROW]
[ROW][C]51[/C][C]4308[/C][C]4902.68330623355[/C][C]-594.683306233554[/C][/ROW]
[ROW][C]52[/C][C]918[/C][C]948.267768930545[/C][C]-30.2677689305445[/C][/ROW]
[ROW][C]53[/C][C]1831[/C][C]1677.90219782078[/C][C]153.097802179217[/C][/ROW]
[ROW][C]54[/C][C]3373[/C][C]3020.85593985663[/C][C]352.144060143365[/C][/ROW]
[ROW][C]55[/C][C]1713[/C][C]1926.41915731277[/C][C]-213.419157312771[/C][/ROW]
[ROW][C]56[/C][C]1438[/C][C]1362.05404283686[/C][C]75.9459571631446[/C][/ROW]
[ROW][C]57[/C][C]496[/C][C]592.256862734214[/C][C]-96.2568627342142[/C][/ROW]
[ROW][C]58[/C][C]2253[/C][C]2207.42041864042[/C][C]45.5795813595758[/C][/ROW]
[ROW][C]59[/C][C]744[/C][C]765.033387949247[/C][C]-21.0333879492465[/C][/ROW]
[ROW][C]60[/C][C]1161[/C][C]1253.01013078938[/C][C]-92.0101307893821[/C][/ROW]
[ROW][C]61[/C][C]2352[/C][C]2314.94298380413[/C][C]37.0570161958694[/C][/ROW]
[ROW][C]62[/C][C]2144[/C][C]1782.38300307843[/C][C]361.616996921572[/C][/ROW]
[ROW][C]63[/C][C]4691[/C][C]3346.98466439812[/C][C]1344.01533560188[/C][/ROW]
[ROW][C]64[/C][C]1112[/C][C]1108.80580490909[/C][C]3.19419509091225[/C][/ROW]
[ROW][C]65[/C][C]2694[/C][C]2371.49211465827[/C][C]322.507885341734[/C][/ROW]
[ROW][C]66[/C][C]1973[/C][C]2192.15798210883[/C][C]-219.157982108828[/C][/ROW]
[ROW][C]67[/C][C]1769[/C][C]1854.14415186871[/C][C]-85.1441518687133[/C][/ROW]
[ROW][C]68[/C][C]3148[/C][C]2778.15154094227[/C][C]369.848459057726[/C][/ROW]
[ROW][C]69[/C][C]2474[/C][C]2472.86887102642[/C][C]1.13112897358265[/C][/ROW]
[ROW][C]70[/C][C]2084[/C][C]2166.33865043742[/C][C]-82.3386504374177[/C][/ROW]
[ROW][C]71[/C][C]1954[/C][C]1885.67910409932[/C][C]68.3208959006792[/C][/ROW]
[ROW][C]72[/C][C]1226[/C][C]1464.92124371391[/C][C]-238.921243713906[/C][/ROW]
[ROW][C]73[/C][C]1389[/C][C]1245.29561492449[/C][C]143.704385075506[/C][/ROW]
[ROW][C]74[/C][C]1496[/C][C]1380.3241441555[/C][C]115.6758558445[/C][/ROW]
[ROW][C]75[/C][C]2269[/C][C]1948.80348157562[/C][C]320.19651842438[/C][/ROW]
[ROW][C]76[/C][C]1833[/C][C]1947.45165760526[/C][C]-114.451657605256[/C][/ROW]
[ROW][C]77[/C][C]1268[/C][C]1387.75341420712[/C][C]-119.753414207124[/C][/ROW]
[ROW][C]78[/C][C]1943[/C][C]1820.69238896325[/C][C]122.307611036751[/C][/ROW]
[ROW][C]79[/C][C]893[/C][C]1060.58830894004[/C][C]-167.588308940039[/C][/ROW]
[ROW][C]80[/C][C]1762[/C][C]1666.14613907353[/C][C]95.8538609264668[/C][/ROW]
[ROW][C]81[/C][C]1403[/C][C]1738.15826959897[/C][C]-335.158269598972[/C][/ROW]
[ROW][C]82[/C][C]1425[/C][C]1486.01667857291[/C][C]-61.016678572907[/C][/ROW]
[ROW][C]83[/C][C]1857[/C][C]2303.5506058104[/C][C]-446.550605810403[/C][/ROW]
[ROW][C]84[/C][C]1840[/C][C]2021.06369353709[/C][C]-181.063693537091[/C][/ROW]
[ROW][C]85[/C][C]1502[/C][C]1356.26484419865[/C][C]145.735155801351[/C][/ROW]
[ROW][C]86[/C][C]1441[/C][C]1385.65521071142[/C][C]55.3447892885823[/C][/ROW]
[ROW][C]87[/C][C]1420[/C][C]1538.838763522[/C][C]-118.838763522004[/C][/ROW]
[ROW][C]88[/C][C]1416[/C][C]1387.96006400498[/C][C]28.0399359950161[/C][/ROW]
[ROW][C]89[/C][C]2970[/C][C]2784.66612502748[/C][C]185.333874972515[/C][/ROW]
[ROW][C]90[/C][C]1317[/C][C]1620.66557524738[/C][C]-303.665575247379[/C][/ROW]
[ROW][C]91[/C][C]1644[/C][C]1404.49524074196[/C][C]239.504759258044[/C][/ROW]
[ROW][C]92[/C][C]870[/C][C]1147.80566379634[/C][C]-277.805663796339[/C][/ROW]
[ROW][C]93[/C][C]1654[/C][C]1923.32680846311[/C][C]-269.326808463112[/C][/ROW]
[ROW][C]94[/C][C]1054[/C][C]1068.67504960173[/C][C]-14.6750496017344[/C][/ROW]
[ROW][C]95[/C][C]937[/C][C]865.118119126538[/C][C]71.8818808734624[/C][/ROW]
[ROW][C]96[/C][C]3004[/C][C]3162.09954777347[/C][C]-158.099547773466[/C][/ROW]
[ROW][C]97[/C][C]2008[/C][C]1987.34408276775[/C][C]20.6559172322532[/C][/ROW]
[ROW][C]98[/C][C]2547[/C][C]2348.49764260745[/C][C]198.502357392546[/C][/ROW]
[ROW][C]99[/C][C]1885[/C][C]1789.20390676906[/C][C]95.7960932309442[/C][/ROW]
[ROW][C]100[/C][C]1626[/C][C]1628.67603829445[/C][C]-2.67603829444538[/C][/ROW]
[ROW][C]101[/C][C]1468[/C][C]1369.69163327523[/C][C]98.3083667247693[/C][/ROW]
[ROW][C]102[/C][C]2445[/C][C]2382.14552881858[/C][C]62.8544711814166[/C][/ROW]
[ROW][C]103[/C][C]1964[/C][C]2178.80666435447[/C][C]-214.806664354472[/C][/ROW]
[ROW][C]104[/C][C]1381[/C][C]1461.21857558871[/C][C]-80.2185755887083[/C][/ROW]
[ROW][C]105[/C][C]1369[/C][C]1461.35235205483[/C][C]-92.3523520548293[/C][/ROW]
[ROW][C]106[/C][C]1659[/C][C]1827.0151344334[/C][C]-168.015134433396[/C][/ROW]
[ROW][C]107[/C][C]2888[/C][C]2565.56426151608[/C][C]322.435738483924[/C][/ROW]
[ROW][C]108[/C][C]1290[/C][C]1074.1293491618[/C][C]215.870650838196[/C][/ROW]
[ROW][C]109[/C][C]2845[/C][C]2931.98525529454[/C][C]-86.9852552945432[/C][/ROW]
[ROW][C]110[/C][C]1982[/C][C]1921.08338948718[/C][C]60.9166105128214[/C][/ROW]
[ROW][C]111[/C][C]1904[/C][C]2032.33400893048[/C][C]-128.334008930482[/C][/ROW]
[ROW][C]112[/C][C]1391[/C][C]1346.44424089143[/C][C]44.5557591085703[/C][/ROW]
[ROW][C]113[/C][C]602[/C][C]702.64422563841[/C][C]-100.64422563841[/C][/ROW]
[ROW][C]114[/C][C]1743[/C][C]1648.43342218756[/C][C]94.5665778124351[/C][/ROW]
[ROW][C]115[/C][C]1559[/C][C]1628.82907444243[/C][C]-69.8290744424251[/C][/ROW]
[ROW][C]116[/C][C]2014[/C][C]2353.99754357073[/C][C]-339.997543570727[/C][/ROW]
[ROW][C]117[/C][C]2143[/C][C]2243.89651931007[/C][C]-100.896519310067[/C][/ROW]
[ROW][C]118[/C][C]2146[/C][C]1984.31969475554[/C][C]161.680305244456[/C][/ROW]
[ROW][C]119[/C][C]874[/C][C]858.866090145731[/C][C]15.133909854269[/C][/ROW]
[ROW][C]120[/C][C]1590[/C][C]1438.61960435841[/C][C]151.38039564159[/C][/ROW]
[ROW][C]121[/C][C]1590[/C][C]1454.60414539414[/C][C]135.395854605861[/C][/ROW]
[ROW][C]122[/C][C]1210[/C][C]1156.10458238158[/C][C]53.8954176184155[/C][/ROW]
[ROW][C]123[/C][C]2072[/C][C]1988.3472199388[/C][C]83.6527800612031[/C][/ROW]
[ROW][C]124[/C][C]1281[/C][C]1285.61720773058[/C][C]-4.61720773057959[/C][/ROW]
[ROW][C]125[/C][C]1401[/C][C]1435.64379997836[/C][C]-34.6437999783619[/C][/ROW]
[ROW][C]126[/C][C]834[/C][C]776.181443974379[/C][C]57.8185560256206[/C][/ROW]
[ROW][C]127[/C][C]1105[/C][C]1093.44428030768[/C][C]11.5557196923186[/C][/ROW]
[ROW][C]128[/C][C]1272[/C][C]1084.16884763681[/C][C]187.83115236319[/C][/ROW]
[ROW][C]129[/C][C]1944[/C][C]1884.19248637552[/C][C]59.8075136244824[/C][/ROW]
[ROW][C]130[/C][C]391[/C][C]457.364531094698[/C][C]-66.364531094698[/C][/ROW]
[ROW][C]131[/C][C]761[/C][C]687.041177095572[/C][C]73.9588229044276[/C][/ROW]
[ROW][C]132[/C][C]1605[/C][C]1642.45162665738[/C][C]-37.4516266573817[/C][/ROW]
[ROW][C]133[/C][C]530[/C][C]625.037331334917[/C][C]-95.0373313349171[/C][/ROW]
[ROW][C]134[/C][C]1988[/C][C]1680.60170244944[/C][C]307.398297550556[/C][/ROW]
[ROW][C]135[/C][C]1386[/C][C]1371.30828574592[/C][C]14.6917142540788[/C][/ROW]
[ROW][C]136[/C][C]2395[/C][C]2566.73710929052[/C][C]-171.737109290518[/C][/ROW]
[ROW][C]137[/C][C]387[/C][C]421.798605274025[/C][C]-34.798605274025[/C][/ROW]
[ROW][C]138[/C][C]1742[/C][C]1870.16782122722[/C][C]-128.167821227222[/C][/ROW]
[ROW][C]139[/C][C]620[/C][C]590.414401476669[/C][C]29.5855985233309[/C][/ROW]
[ROW][C]140[/C][C]449[/C][C]598.971102634772[/C][C]-149.971102634772[/C][/ROW]
[ROW][C]141[/C][C]800[/C][C]785.905360814607[/C][C]14.0946391853934[/C][/ROW]
[ROW][C]142[/C][C]1684[/C][C]1444.38269802453[/C][C]239.617301975473[/C][/ROW]
[ROW][C]143[/C][C]1050[/C][C]1159.9817768[/C][C]-109.9817768[/C][/ROW]
[ROW][C]144[/C][C]2699[/C][C]2592.06619548056[/C][C]106.933804519442[/C][/ROW]
[ROW][C]145[/C][C]1606[/C][C]1606.48353932014[/C][C]-0.483539320141999[/C][/ROW]
[ROW][C]146[/C][C]1502[/C][C]1306.1114313337[/C][C]195.888568666296[/C][/ROW]
[ROW][C]147[/C][C]1204[/C][C]1243.07247206379[/C][C]-39.0724720637913[/C][/ROW]
[ROW][C]148[/C][C]1138[/C][C]1159.89171677118[/C][C]-21.891716771185[/C][/ROW]
[ROW][C]149[/C][C]568[/C][C]789.887808076007[/C][C]-221.887808076007[/C][/ROW]
[ROW][C]150[/C][C]1459[/C][C]1540.62438677629[/C][C]-81.6243867762886[/C][/ROW]
[ROW][C]151[/C][C]2158[/C][C]2330.80696037357[/C][C]-172.806960373569[/C][/ROW]
[ROW][C]152[/C][C]1111[/C][C]1280.70003192548[/C][C]-169.700031925481[/C][/ROW]
[ROW][C]153[/C][C]1421[/C][C]1242.26902762257[/C][C]178.730972377429[/C][/ROW]
[ROW][C]154[/C][C]2833[/C][C]3270.38503520491[/C][C]-437.385035204909[/C][/ROW]
[ROW][C]155[/C][C]1955[/C][C]2089.74980469727[/C][C]-134.749804697271[/C][/ROW]
[ROW][C]156[/C][C]2922[/C][C]2848.20785721593[/C][C]73.792142784072[/C][/ROW]
[ROW][C]157[/C][C]1002[/C][C]1240.21965336971[/C][C]-238.219653369713[/C][/ROW]
[ROW][C]158[/C][C]1060[/C][C]1260.8844159763[/C][C]-200.8844159763[/C][/ROW]
[ROW][C]159[/C][C]956[/C][C]1027.64254670121[/C][C]-71.6425467012103[/C][/ROW]
[ROW][C]160[/C][C]2186[/C][C]2089.20960031684[/C][C]96.7903996831646[/C][/ROW]
[ROW][C]161[/C][C]3604[/C][C]3321.40077154873[/C][C]282.599228451274[/C][/ROW]
[ROW][C]162[/C][C]1035[/C][C]1098.76403275611[/C][C]-63.7640327561142[/C][/ROW]
[ROW][C]163[/C][C]1417[/C][C]1305.96981016769[/C][C]111.030189832315[/C][/ROW]
[ROW][C]164[/C][C]3261[/C][C]3529.01760679409[/C][C]-268.017606794094[/C][/ROW]
[ROW][C]165[/C][C]1587[/C][C]1597.73902051197[/C][C]-10.7390205119744[/C][/ROW]
[ROW][C]166[/C][C]1424[/C][C]1536.39500894761[/C][C]-112.395008947611[/C][/ROW]
[ROW][C]167[/C][C]1701[/C][C]1799.90997585677[/C][C]-98.9099758567658[/C][/ROW]
[ROW][C]168[/C][C]1249[/C][C]1306.05457772039[/C][C]-57.0545777203949[/C][/ROW]
[ROW][C]169[/C][C]946[/C][C]844.55603796716[/C][C]101.44396203284[/C][/ROW]
[ROW][C]170[/C][C]1926[/C][C]1806.59542902849[/C][C]119.40457097151[/C][/ROW]
[ROW][C]171[/C][C]3352[/C][C]3351.5493227756[/C][C]0.450677224400944[/C][/ROW]
[ROW][C]172[/C][C]1641[/C][C]1696.53247389422[/C][C]-55.5324738942234[/C][/ROW]
[ROW][C]173[/C][C]2035[/C][C]1819.36130402148[/C][C]215.638695978521[/C][/ROW]
[ROW][C]174[/C][C]2312[/C][C]2123.74582129102[/C][C]188.254178708976[/C][/ROW]
[ROW][C]175[/C][C]1369[/C][C]1549.17957373471[/C][C]-180.179573734714[/C][/ROW]
[ROW][C]176[/C][C]1577[/C][C]1690.55204822717[/C][C]-113.552048227169[/C][/ROW]
[ROW][C]177[/C][C]2201[/C][C]2195.59125678999[/C][C]5.40874321001096[/C][/ROW]
[ROW][C]178[/C][C]961[/C][C]985.849937632366[/C][C]-24.8499376323656[/C][/ROW]
[ROW][C]179[/C][C]1900[/C][C]1843.28521625847[/C][C]56.7147837415271[/C][/ROW]
[ROW][C]180[/C][C]1254[/C][C]1305.97627456492[/C][C]-51.9762745649167[/C][/ROW]
[ROW][C]181[/C][C]1335[/C][C]1170.32655726332[/C][C]164.673442736681[/C][/ROW]
[ROW][C]182[/C][C]1597[/C][C]1410.90202385361[/C][C]186.097976146391[/C][/ROW]
[ROW][C]183[/C][C]207[/C][C]298.291904644157[/C][C]-91.2919046441573[/C][/ROW]
[ROW][C]184[/C][C]1645[/C][C]1569.85477620423[/C][C]75.1452237957653[/C][/ROW]
[ROW][C]185[/C][C]2429[/C][C]2323.42278981712[/C][C]105.577210182877[/C][/ROW]
[ROW][C]186[/C][C]151[/C][C]273.551099458596[/C][C]-122.551099458596[/C][/ROW]
[ROW][C]187[/C][C]474[/C][C]678.938567645032[/C][C]-204.938567645032[/C][/ROW]
[ROW][C]188[/C][C]141[/C][C]273.859523998242[/C][C]-132.859523998242[/C][/ROW]
[ROW][C]189[/C][C]1639[/C][C]1432.85695791005[/C][C]206.14304208995[/C][/ROW]
[ROW][C]190[/C][C]872[/C][C]891.537708273589[/C][C]-19.5377082735889[/C][/ROW]
[ROW][C]191[/C][C]1318[/C][C]1275.93762771644[/C][C]42.0623722835617[/C][/ROW]
[ROW][C]192[/C][C]1018[/C][C]1205.94692947961[/C][C]-187.946929479612[/C][/ROW]
[ROW][C]193[/C][C]1383[/C][C]1275.71797231129[/C][C]107.282027688713[/C][/ROW]
[ROW][C]194[/C][C]1314[/C][C]1162.55761235084[/C][C]151.442387649165[/C][/ROW]
[ROW][C]195[/C][C]1335[/C][C]1391.34364368852[/C][C]-56.3436436885156[/C][/ROW]
[ROW][C]196[/C][C]1403[/C][C]1326.47882731089[/C][C]76.5211726891079[/C][/ROW]
[ROW][C]197[/C][C]910[/C][C]1032.36230799407[/C][C]-122.362307994072[/C][/ROW]
[ROW][C]198[/C][C]616[/C][C]716.165822921926[/C][C]-100.165822921926[/C][/ROW]
[ROW][C]199[/C][C]1407[/C][C]1428.53917262105[/C][C]-21.5391726210546[/C][/ROW]
[ROW][C]200[/C][C]771[/C][C]819.109306334625[/C][C]-48.1093063346255[/C][/ROW]
[ROW][C]201[/C][C]766[/C][C]700.521033592832[/C][C]65.4789664071676[/C][/ROW]
[ROW][C]202[/C][C]473[/C][C]519.27031455387[/C][C]-46.2703145538704[/C][/ROW]
[ROW][C]203[/C][C]1376[/C][C]1400.14332042742[/C][C]-24.1433204274242[/C][/ROW]
[ROW][C]204[/C][C]1232[/C][C]1174.06399392677[/C][C]57.936006073233[/C][/ROW]
[ROW][C]205[/C][C]1521[/C][C]1536.44406481006[/C][C]-15.4440648100649[/C][/ROW]
[ROW][C]206[/C][C]572[/C][C]598.456872397065[/C][C]-26.456872397065[/C][/ROW]
[ROW][C]207[/C][C]1059[/C][C]874.871051083828[/C][C]184.128948916172[/C][/ROW]
[ROW][C]208[/C][C]1544[/C][C]1642.42745230539[/C][C]-98.4274523053923[/C][/ROW]
[ROW][C]209[/C][C]1230[/C][C]1216.42750987227[/C][C]13.5724901277257[/C][/ROW]
[ROW][C]210[/C][C]1206[/C][C]1245.375950786[/C][C]-39.375950786001[/C][/ROW]
[ROW][C]211[/C][C]1205[/C][C]1084.68522565888[/C][C]120.314774341119[/C][/ROW]
[ROW][C]212[/C][C]1255[/C][C]1048.99534737298[/C][C]206.004652627024[/C][/ROW]
[ROW][C]213[/C][C]613[/C][C]668.239021808584[/C][C]-55.2390218085837[/C][/ROW]
[ROW][C]214[/C][C]721[/C][C]780.172110532508[/C][C]-59.1721105325081[/C][/ROW]
[ROW][C]215[/C][C]1109[/C][C]1027.62137189614[/C][C]81.3786281038624[/C][/ROW]
[ROW][C]216[/C][C]740[/C][C]717.322812349435[/C][C]22.6771876505652[/C][/ROW]
[ROW][C]217[/C][C]1126[/C][C]1099.99060230485[/C][C]26.0093976951517[/C][/ROW]
[ROW][C]218[/C][C]728[/C][C]767.863383574442[/C][C]-39.8633835744422[/C][/ROW]
[ROW][C]219[/C][C]689[/C][C]737.014580863607[/C][C]-48.014580863607[/C][/ROW]
[ROW][C]220[/C][C]592[/C][C]679.961149598357[/C][C]-87.9611495983575[/C][/ROW]
[ROW][C]221[/C][C]995[/C][C]942.784341419697[/C][C]52.215658580303[/C][/ROW]
[ROW][C]222[/C][C]1613[/C][C]1124.17825458173[/C][C]488.821745418274[/C][/ROW]
[ROW][C]223[/C][C]2048[/C][C]1735.62287291642[/C][C]312.377127083578[/C][/ROW]
[ROW][C]224[/C][C]705[/C][C]676.165494140449[/C][C]28.834505859551[/C][/ROW]
[ROW][C]225[/C][C]301[/C][C]434.52494238248[/C][C]-133.52494238248[/C][/ROW]
[ROW][C]226[/C][C]1803[/C][C]1634.43961512424[/C][C]168.560384875757[/C][/ROW]
[ROW][C]227[/C][C]799[/C][C]818.085873158278[/C][C]-19.085873158278[/C][/ROW]
[ROW][C]228[/C][C]861[/C][C]928.042586325817[/C][C]-67.0425863258169[/C][/ROW]
[ROW][C]229[/C][C]1186[/C][C]1012.66257757484[/C][C]173.337422425157[/C][/ROW]
[ROW][C]230[/C][C]1451[/C][C]1169.77481501432[/C][C]281.225184985676[/C][/ROW]
[ROW][C]231[/C][C]628[/C][C]587.04311445196[/C][C]40.9568855480404[/C][/ROW]
[ROW][C]232[/C][C]1161[/C][C]969.480588036815[/C][C]191.519411963185[/C][/ROW]
[ROW][C]233[/C][C]1463[/C][C]1313.41574167576[/C][C]149.58425832424[/C][/ROW]
[ROW][C]234[/C][C]742[/C][C]754.881098217012[/C][C]-12.8810982170115[/C][/ROW]
[ROW][C]235[/C][C]979[/C][C]1028.77304663424[/C][C]-49.7730466342433[/C][/ROW]
[ROW][C]236[/C][C]675[/C][C]648.002492798173[/C][C]26.9975072018275[/C][/ROW]
[ROW][C]237[/C][C]1241[/C][C]1270.1981413663[/C][C]-29.1981413663019[/C][/ROW]
[ROW][C]238[/C][C]676[/C][C]681.089758994893[/C][C]-5.08975899489329[/C][/ROW]
[ROW][C]239[/C][C]1049[/C][C]1106.28693376257[/C][C]-57.2869337625674[/C][/ROW]
[ROW][C]240[/C][C]620[/C][C]680.364328897652[/C][C]-60.364328897652[/C][/ROW]
[ROW][C]241[/C][C]1081[/C][C]1003.83787175021[/C][C]77.1621282497868[/C][/ROW]
[ROW][C]242[/C][C]1688[/C][C]1166.09124787112[/C][C]521.90875212888[/C][/ROW]
[ROW][C]243[/C][C]736[/C][C]677.025078431541[/C][C]58.9749215684586[/C][/ROW]
[ROW][C]244[/C][C]617[/C][C]671.080150674913[/C][C]-54.080150674913[/C][/ROW]
[ROW][C]245[/C][C]812[/C][C]870.003431530504[/C][C]-58.0034315305038[/C][/ROW]
[ROW][C]246[/C][C]1051[/C][C]1078.25677854156[/C][C]-27.2567785415582[/C][/ROW]
[ROW][C]247[/C][C]1656[/C][C]1372.2248314044[/C][C]283.775168595596[/C][/ROW]
[ROW][C]248[/C][C]705[/C][C]777.94769494992[/C][C]-72.9476949499201[/C][/ROW]
[ROW][C]249[/C][C]945[/C][C]1021.93131152042[/C][C]-76.9313115204165[/C][/ROW]
[ROW][C]250[/C][C]554[/C][C]644.639525892138[/C][C]-90.6395258921384[/C][/ROW]
[ROW][C]251[/C][C]1597[/C][C]1551.7267527001[/C][C]45.2732472999025[/C][/ROW]
[ROW][C]252[/C][C]982[/C][C]1005.22625174648[/C][C]-23.2262517464801[/C][/ROW]
[ROW][C]253[/C][C]222[/C][C]305.780212111702[/C][C]-83.7802121117018[/C][/ROW]
[ROW][C]254[/C][C]1212[/C][C]1184.39832788376[/C][C]27.6016721162396[/C][/ROW]
[ROW][C]255[/C][C]1143[/C][C]1206.36462173116[/C][C]-63.3646217311581[/C][/ROW]
[ROW][C]256[/C][C]435[/C][C]522.197969456535[/C][C]-87.1979694565349[/C][/ROW]
[ROW][C]257[/C][C]532[/C][C]564.093829401173[/C][C]-32.0938294011728[/C][/ROW]
[ROW][C]258[/C][C]882[/C][C]956.372286892582[/C][C]-74.3722868925818[/C][/ROW]
[ROW][C]259[/C][C]608[/C][C]591.761707034844[/C][C]16.2382929651564[/C][/ROW]
[ROW][C]260[/C][C]459[/C][C]437.214668974366[/C][C]21.7853310256336[/C][/ROW]
[ROW][C]261[/C][C]578[/C][C]627.278265443137[/C][C]-49.2782654431373[/C][/ROW]
[ROW][C]262[/C][C]826[/C][C]812.897773943314[/C][C]13.1022260566858[/C][/ROW]
[ROW][C]263[/C][C]509[/C][C]457.513386714316[/C][C]51.4866132856844[/C][/ROW]
[ROW][C]264[/C][C]717[/C][C]688.727952748777[/C][C]28.2720472512233[/C][/ROW]
[ROW][C]265[/C][C]637[/C][C]673.169036973719[/C][C]-36.1690369737185[/C][/ROW]
[ROW][C]266[/C][C]857[/C][C]871.914303706849[/C][C]-14.9143037068489[/C][/ROW]
[ROW][C]267[/C][C]830[/C][C]847.825814259625[/C][C]-17.8258142596245[/C][/ROW]
[ROW][C]268[/C][C]652[/C][C]750.789611210475[/C][C]-98.7896112104746[/C][/ROW]
[ROW][C]269[/C][C]707[/C][C]848.160238584713[/C][C]-141.160238584713[/C][/ROW]
[ROW][C]270[/C][C]954[/C][C]997.045481203462[/C][C]-43.0454812034617[/C][/ROW]
[ROW][C]271[/C][C]1461[/C][C]1264.72203567154[/C][C]196.277964328461[/C][/ROW]
[ROW][C]272[/C][C]672[/C][C]765.471141669808[/C][C]-93.4711416698078[/C][/ROW]
[ROW][C]273[/C][C]778[/C][C]825.927745055543[/C][C]-47.9277450555429[/C][/ROW]
[ROW][C]274[/C][C]1141[/C][C]1100.71780621163[/C][C]40.2821937883713[/C][/ROW]
[ROW][C]275[/C][C]680[/C][C]634.819061477697[/C][C]45.180938522303[/C][/ROW]
[ROW][C]276[/C][C]1090[/C][C]971.557231490933[/C][C]118.442768509067[/C][/ROW]
[ROW][C]277[/C][C]616[/C][C]557.767716382292[/C][C]58.2322836177081[/C][/ROW]
[ROW][C]278[/C][C]285[/C][C]329.164395010559[/C][C]-44.1643950105588[/C][/ROW]
[ROW][C]279[/C][C]1145[/C][C]1032.24863601852[/C][C]112.751363981475[/C][/ROW]
[ROW][C]280[/C][C]733[/C][C]836.82826083226[/C][C]-103.82826083226[/C][/ROW]
[ROW][C]281[/C][C]888[/C][C]960.432529492343[/C][C]-72.4325294923426[/C][/ROW]
[ROW][C]282[/C][C]849[/C][C]879.222886123878[/C][C]-30.2228861238776[/C][/ROW]
[ROW][C]283[/C][C]1182[/C][C]1182.05604488659[/C][C]-0.0560448865887678[/C][/ROW]
[ROW][C]284[/C][C]528[/C][C]578.784935174209[/C][C]-50.7849351742087[/C][/ROW]
[ROW][C]285[/C][C]642[/C][C]740.977420858424[/C][C]-98.9774208584242[/C][/ROW]
[ROW][C]286[/C][C]947[/C][C]600.918156620261[/C][C]346.081843379739[/C][/ROW]
[ROW][C]287[/C][C]819[/C][C]723.030005013179[/C][C]95.9699949868212[/C][/ROW]
[ROW][C]288[/C][C]757[/C][C]673.179605948752[/C][C]83.8203940512476[/C][/ROW]
[ROW][C]289[/C][C]894[/C][C]941.300081214005[/C][C]-47.3000812140052[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=199440&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=199440&T=4

As an alternative you can also use a QR Code:  
QR Code


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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
114181388.103199132629.896800867401
28691032.59692547568-163.596925475676
315301606.25268654861-76.2526865486148
421722535.10568714881-363.105687148812
5901894.7190363483326.28096365166763
6463568.394490475832-105.394490475832
732013752.79617950305-551.796179503046
8371472.125935415036-101.125935415036
911921125.7942163469566.2057836530541
1015831727.96806083354-144.968060833542
1114391482.63991998254-43.6399199825354
1217641882.05314829765-118.053148297651
1314951463.782683331531.2173166684977
1413731424.28301505198-51.2830150519819
1521872408.80806034091-221.808060340913
1614911452.4362780821938.563721917812
1740413625.2345112898415.765488710202
1817061793.06096291458-87.0609629145827
1921522276.05592382799-124.055923827991
2010361206.74778310144-170.74778310144
2118821717.38573448135164.614265518654
2219291888.8358185798240.1641814201771
2322422595.8940310278-353.894031027799
2412201218.726194241021.27380575897852
2512891326.73155457878-37.7315545787848
2625152562.20884832945-47.2088483294511
2721472061.169672356885.8303276432029
2823522322.7456041093829.2543958906228
2916381600.3294304510537.6705695489515
3012221314.88673947229-92.8867394722902
3118121988.06937912182-176.069379121818
3216771801.13642302971-124.13642302971
3315791574.556695698824.44330430117851
3417311872.40785121596-141.407851215956
35807878.279277997559-71.2792779975585
3624522593.18157533444-141.181575334443
37829799.53612682076829.4638731792318
3819402147.22088664851-207.220886648512
3926622493.3809583594168.619041640601
40186258.872286182579-72.872286182579
4114991482.4733766847316.5266233152741
42865826.6243327788338.3756672211699
4317931445.74927460233347.250725397673
4425272390.1685030573136.831496942697
4527473024.67037259401-277.670372594009
4613241531.64239921245-207.642399212448
4727022313.3991648444388.600835155595
4813831502.97281924283-119.972819242831
4911791085.5706709641293.4293290358818
5020992025.2157617708573.7842382291509
5143084902.68330623355-594.683306233554
52918948.267768930545-30.2677689305445
5318311677.90219782078153.097802179217
5433733020.85593985663352.144060143365
5517131926.41915731277-213.419157312771
5614381362.0540428368675.9459571631446
57496592.256862734214-96.2568627342142
5822532207.4204186404245.5795813595758
59744765.033387949247-21.0333879492465
6011611253.01013078938-92.0101307893821
6123522314.9429838041337.0570161958694
6221441782.38300307843361.616996921572
6346913346.984664398121344.01533560188
6411121108.805804909093.19419509091225
6526942371.49211465827322.507885341734
6619732192.15798210883-219.157982108828
6717691854.14415186871-85.1441518687133
6831482778.15154094227369.848459057726
6924742472.868871026421.13112897358265
7020842166.33865043742-82.3386504374177
7119541885.6791040993268.3208959006792
7212261464.92124371391-238.921243713906
7313891245.29561492449143.704385075506
7414961380.3241441555115.6758558445
7522691948.80348157562320.19651842438
7618331947.45165760526-114.451657605256
7712681387.75341420712-119.753414207124
7819431820.69238896325122.307611036751
798931060.58830894004-167.588308940039
8017621666.1461390735395.8538609264668
8114031738.15826959897-335.158269598972
8214251486.01667857291-61.016678572907
8318572303.5506058104-446.550605810403
8418402021.06369353709-181.063693537091
8515021356.26484419865145.735155801351
8614411385.6552107114255.3447892885823
8714201538.838763522-118.838763522004
8814161387.9600640049828.0399359950161
8929702784.66612502748185.333874972515
9013171620.66557524738-303.665575247379
9116441404.49524074196239.504759258044
928701147.80566379634-277.805663796339
9316541923.32680846311-269.326808463112
9410541068.67504960173-14.6750496017344
95937865.11811912653871.8818808734624
9630043162.09954777347-158.099547773466
9720081987.3440827677520.6559172322532
9825472348.49764260745198.502357392546
9918851789.2039067690695.7960932309442
10016261628.67603829445-2.67603829444538
10114681369.6916332752398.3083667247693
10224452382.1455288185862.8544711814166
10319642178.80666435447-214.806664354472
10413811461.21857558871-80.2185755887083
10513691461.35235205483-92.3523520548293
10616591827.0151344334-168.015134433396
10728882565.56426151608322.435738483924
10812901074.1293491618215.870650838196
10928452931.98525529454-86.9852552945432
11019821921.0833894871860.9166105128214
11119042032.33400893048-128.334008930482
11213911346.4442408914344.5557591085703
113602702.64422563841-100.64422563841
11417431648.4334221875694.5665778124351
11515591628.82907444243-69.8290744424251
11620142353.99754357073-339.997543570727
11721432243.89651931007-100.896519310067
11821461984.31969475554161.680305244456
119874858.86609014573115.133909854269
12015901438.61960435841151.38039564159
12115901454.60414539414135.395854605861
12212101156.1045823815853.8954176184155
12320721988.347219938883.6527800612031
12412811285.61720773058-4.61720773057959
12514011435.64379997836-34.6437999783619
126834776.18144397437957.8185560256206
12711051093.4442803076811.5557196923186
12812721084.16884763681187.83115236319
12919441884.1924863755259.8075136244824
130391457.364531094698-66.364531094698
131761687.04117709557273.9588229044276
13216051642.45162665738-37.4516266573817
133530625.037331334917-95.0373313349171
13419881680.60170244944307.398297550556
13513861371.3082857459214.6917142540788
13623952566.73710929052-171.737109290518
137387421.798605274025-34.798605274025
13817421870.16782122722-128.167821227222
139620590.41440147666929.5855985233309
140449598.971102634772-149.971102634772
141800785.90536081460714.0946391853934
14216841444.38269802453239.617301975473
14310501159.9817768-109.9817768
14426992592.06619548056106.933804519442
14516061606.48353932014-0.483539320141999
14615021306.1114313337195.888568666296
14712041243.07247206379-39.0724720637913
14811381159.89171677118-21.891716771185
149568789.887808076007-221.887808076007
15014591540.62438677629-81.6243867762886
15121582330.80696037357-172.806960373569
15211111280.70003192548-169.700031925481
15314211242.26902762257178.730972377429
15428333270.38503520491-437.385035204909
15519552089.74980469727-134.749804697271
15629222848.2078572159373.792142784072
15710021240.21965336971-238.219653369713
15810601260.8844159763-200.8844159763
1599561027.64254670121-71.6425467012103
16021862089.2096003168496.7903996831646
16136043321.40077154873282.599228451274
16210351098.76403275611-63.7640327561142
16314171305.96981016769111.030189832315
16432613529.01760679409-268.017606794094
16515871597.73902051197-10.7390205119744
16614241536.39500894761-112.395008947611
16717011799.90997585677-98.9099758567658
16812491306.05457772039-57.0545777203949
169946844.55603796716101.44396203284
17019261806.59542902849119.40457097151
17133523351.54932277560.450677224400944
17216411696.53247389422-55.5324738942234
17320351819.36130402148215.638695978521
17423122123.74582129102188.254178708976
17513691549.17957373471-180.179573734714
17615771690.55204822717-113.552048227169
17722012195.591256789995.40874321001096
178961985.849937632366-24.8499376323656
17919001843.2852162584756.7147837415271
18012541305.97627456492-51.9762745649167
18113351170.32655726332164.673442736681
18215971410.90202385361186.097976146391
183207298.291904644157-91.2919046441573
18416451569.8547762042375.1452237957653
18524292323.42278981712105.577210182877
186151273.551099458596-122.551099458596
187474678.938567645032-204.938567645032
188141273.859523998242-132.859523998242
18916391432.85695791005206.14304208995
190872891.537708273589-19.5377082735889
19113181275.9376277164442.0623722835617
19210181205.94692947961-187.946929479612
19313831275.71797231129107.282027688713
19413141162.55761235084151.442387649165
19513351391.34364368852-56.3436436885156
19614031326.4788273108976.5211726891079
1979101032.36230799407-122.362307994072
198616716.165822921926-100.165822921926
19914071428.53917262105-21.5391726210546
200771819.109306334625-48.1093063346255
201766700.52103359283265.4789664071676
202473519.27031455387-46.2703145538704
20313761400.14332042742-24.1433204274242
20412321174.0639939267757.936006073233
20515211536.44406481006-15.4440648100649
206572598.456872397065-26.456872397065
2071059874.871051083828184.128948916172
20815441642.42745230539-98.4274523053923
20912301216.4275098722713.5724901277257
21012061245.375950786-39.375950786001
21112051084.68522565888120.314774341119
21212551048.99534737298206.004652627024
213613668.239021808584-55.2390218085837
214721780.172110532508-59.1721105325081
21511091027.6213718961481.3786281038624
216740717.32281234943522.6771876505652
21711261099.9906023048526.0093976951517
218728767.863383574442-39.8633835744422
219689737.014580863607-48.014580863607
220592679.961149598357-87.9611495983575
221995942.78434141969752.215658580303
22216131124.17825458173488.821745418274
22320481735.62287291642312.377127083578
224705676.16549414044928.834505859551
225301434.52494238248-133.52494238248
22618031634.43961512424168.560384875757
227799818.085873158278-19.085873158278
228861928.042586325817-67.0425863258169
22911861012.66257757484173.337422425157
23014511169.77481501432281.225184985676
231628587.0431144519640.9568855480404
2321161969.480588036815191.519411963185
23314631313.41574167576149.58425832424
234742754.881098217012-12.8810982170115
2359791028.77304663424-49.7730466342433
236675648.00249279817326.9975072018275
23712411270.1981413663-29.1981413663019
238676681.089758994893-5.08975899489329
23910491106.28693376257-57.2869337625674
240620680.364328897652-60.364328897652
24110811003.8378717502177.1621282497868
24216881166.09124787112521.90875212888
243736677.02507843154158.9749215684586
244617671.080150674913-54.080150674913
245812870.003431530504-58.0034315305038
24610511078.25677854156-27.2567785415582
24716561372.2248314044283.775168595596
248705777.94769494992-72.9476949499201
2499451021.93131152042-76.9313115204165
250554644.639525892138-90.6395258921384
25115971551.726752700145.2732472999025
2529821005.22625174648-23.2262517464801
253222305.780212111702-83.7802121117018
25412121184.3983278837627.6016721162396
25511431206.36462173116-63.3646217311581
256435522.197969456535-87.1979694565349
257532564.093829401173-32.0938294011728
258882956.372286892582-74.3722868925818
259608591.76170703484416.2382929651564
260459437.21466897436621.7853310256336
261578627.278265443137-49.2782654431373
262826812.89777394331413.1022260566858
263509457.51338671431651.4866132856844
264717688.72795274877728.2720472512233
265637673.169036973719-36.1690369737185
266857871.914303706849-14.9143037068489
267830847.825814259625-17.8258142596245
268652750.789611210475-98.7896112104746
269707848.160238584713-141.160238584713
270954997.045481203462-43.0454812034617
27114611264.72203567154196.277964328461
272672765.471141669808-93.4711416698078
273778825.927745055543-47.9277450555429
27411411100.7178062116340.2821937883713
275680634.81906147769745.180938522303
2761090971.557231490933118.442768509067
277616557.76771638229258.2322836177081
278285329.164395010559-44.1643950105588
27911451032.24863601852112.751363981475
280733836.82826083226-103.82826083226
281888960.432529492343-72.4325294923426
282849879.222886123878-30.2228861238776
28311821182.05604488659-0.0560448865887678
284528578.784935174209-50.7849351742087
285642740.977420858424-98.9774208584242
286947600.918156620261346.081843379739
287819723.03000501317995.9699949868212
288757673.17960594875283.8203940512476
289894941.300081214005-47.3000812140052






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
140.1104965702548350.2209931405096710.889503429745165
150.1410375407193290.2820750814386570.858962459280671
160.1273157164688790.2546314329377570.872684283531121
170.3677742742980850.7355485485961710.632225725701915
180.5599303046752670.8801393906494660.440069695324733
190.5323271529573490.9353456940853030.467672847042651
200.5487420889717320.9025158220565370.451257911028268
210.5366050570396880.9267898859206250.463394942960312
220.4510290648568480.9020581297136960.548970935143152
230.408713621913340.8174272438266790.59128637808666
240.3277835196221070.6555670392442150.672216480377893
250.3142442630099420.6284885260198850.685755736990058
260.2585126729606470.5170253459212930.741487327039353
270.2693457732961150.538691546592230.730654226703885
280.2830831050737030.5661662101474060.716916894926297
290.2712327489383780.5424654978767560.728767251061622
300.2200424432452040.4400848864904090.779957556754796
310.3306788626955960.6613577253911920.669321137304404
320.2998764743948090.5997529487896190.700123525605191
330.2927649235805840.5855298471611670.707235076419416
340.3109951047982250.6219902095964510.689004895201775
350.2854917777681230.5709835555362450.714508222231877
360.2459534896258690.4919069792517380.754046510374131
370.2170616622742140.4341233245484270.782938337725786
380.2154931780706280.4309863561412570.784506821929372
390.2837171777806960.5674343555613920.716282822219304
400.239697740341860.4793954806837190.76030225965814
410.2013530876681450.402706175336290.798646912331855
420.1815025453719570.3630050907439140.818497454628043
430.3337543430313250.667508686062650.666245656968675
440.38515277717980.7703055543595990.6148472228202
450.3836515826064530.7673031652129070.616348417393547
460.3927238297070210.7854476594140430.607276170292979
470.5673488277360590.8653023445278820.432651172263941
480.5220932406662420.9558135186675170.477906759333758
490.4837602220449140.9675204440898280.516239777955086
500.5091440410855940.9817119178288120.490855958914406
510.7283220641324910.5433558717350170.271677935867509
520.6932609815047850.6134780369904310.306739018495215
530.6755116681607130.6489766636785730.324488331839287
540.8808639606550710.2382720786898580.119136039344929
550.9006628365862570.1986743268274850.0993371634137426
560.8857197582505750.228560483498850.114280241749425
570.8684847436110790.2630305127778410.131515256388921
580.8639698401583560.2720603196832880.136030159841644
590.8389280941203110.3221438117593790.161071905879689
600.8138527072534960.3722945854930070.186147292746504
610.7951523989968190.4096952020063630.204847601003181
620.8811365422954890.2377269154090210.118863457704511
630.9999999999006661.98668334532439e-109.93341672662193e-11
640.9999999998144423.71115429096159e-101.85557714548079e-10
650.9999999999036621.92675594816328e-109.6337797408164e-11
660.999999999935641.28719948663994e-106.4359974331997e-11
670.9999999998919142.16171478821211e-101.08085739410605e-10
680.9999999999792764.14473113754637e-112.07236556877319e-11
690.9999999999647167.05677320815329e-113.52838660407665e-11
700.9999999999398151.20370613749956e-106.0185306874978e-11
710.9999999998987322.02536497918848e-101.01268248959424e-10
720.9999999999288481.42304890003342e-107.11524450016712e-11
730.9999999999150131.69973521018453e-108.49867605092263e-11
740.999999999872722.54560397767336e-101.27280198883668e-10
750.999999999968146.37192796080287e-113.18596398040143e-11
760.9999999999544249.11510787607779e-114.55755393803889e-11
770.9999999999320031.35994061260105e-106.79970306300526e-11
780.9999999999133131.73373373537028e-108.66866867685141e-11
790.9999999998879712.24058191389122e-101.12029095694561e-10
800.9999999998370253.25949309265455e-101.62974654632728e-10
810.9999999999532299.3541690065092e-114.6770845032546e-11
820.9999999999169781.66044968586316e-108.3022484293158e-11
830.9999999999948471.03065946362747e-115.15329731813737e-12
840.9999999999946481.07037982714108e-115.35189913570542e-12
850.9999999999928551.42893472642155e-117.14467363210773e-12
860.9999999999883112.33781293108594e-111.16890646554297e-11
870.999999999982383.52396677077218e-111.76198338538609e-11
880.9999999999689846.20327846278161e-113.1016392313908e-11
890.9999999999729795.40418110483988e-112.70209055241994e-11
900.9999999999891262.17489104744869e-111.08744552372434e-11
910.9999999999944741.10523297629297e-115.52616488146485e-12
920.9999999999970715.85735267507169e-122.92867633753584e-12
930.9999999999989372.12702050536307e-121.06351025268153e-12
940.9999999999979944.01093846193617e-122.00546923096809e-12
950.9999999999969326.13693852373599e-123.06846926186799e-12
960.9999999999982273.54627840145016e-121.77313920072508e-12
970.999999999996786.43913593836476e-123.21956796918238e-12
980.9999999999974465.10840306886047e-122.55420153443023e-12
990.9999999999963667.26788131477099e-123.6339406573855e-12
1000.9999999999935011.29986993365091e-116.49934966825457e-12
1010.9999999999907091.85816769098275e-119.29083845491374e-12
1020.9999999999848913.02184511944737e-111.51092255972368e-11
1030.9999999999907371.85252051314339e-119.26260256571695e-12
1040.9999999999847443.05121639504192e-111.52560819752096e-11
1050.9999999999763814.72373791861882e-112.36186895930941e-11
1060.9999999999753794.92425991231978e-112.46212995615989e-11
1070.9999999999951.00006360629611e-115.00031803148054e-12
1080.9999999999968436.31365827985928e-123.15682913992964e-12
1090.9999999999948881.02235354519326e-115.11176772596629e-12
1100.9999999999918121.63767550179275e-118.18837750896373e-12
1110.9999999999889722.20551081346587e-111.10275540673293e-11
1120.9999999999812343.75322866086036e-111.87661433043018e-11
1130.9999999999695886.08230609601745e-113.04115304800872e-11
1140.9999999999549599.00818982732286e-114.50409491366143e-11
1150.9999999999250121.4997611501586e-107.498805750793e-11
1160.9999999999869392.61222607468667e-111.30611303734333e-11
1170.9999999999798054.03906826496727e-112.01953413248363e-11
1180.9999999999763094.7381304789382e-112.3690652394691e-11
1190.9999999999576078.47853477383271e-114.23926738691635e-11
1200.9999999999556898.86227509095807e-114.43113754547904e-11
1210.9999999999438621.12275792019875e-105.61378960099373e-11
1220.9999999999127241.74551821826638e-108.72759109133189e-11
1230.9999999998762912.47417837146959e-101.23708918573479e-10
1240.9999999997994764.01047267456984e-102.00523633728492e-10
1250.999999999657516.84979217159073e-103.42489608579537e-10
1260.9999999994672741.06545286476017e-095.32726432380085e-10
1270.999999999096391.80721966801823e-099.03609834009116e-10
1280.9999999991437771.71244614480139e-098.56223072400695e-10
1290.9999999986717582.65648445349684e-091.32824222674842e-09
1300.9999999977879524.42409633220575e-092.21204816610288e-09
1310.9999999966569556.68608915472225e-093.34304457736113e-09
1320.9999999944585751.10828492894767e-085.54142464473834e-09
1330.9999999912196461.75607070997357e-088.78035354986784e-09
1340.9999999964442177.11156538523212e-093.55578269261606e-09
1350.9999999940704561.18590875476982e-085.92954377384908e-09
1360.9999999937187851.25624296602205e-086.28121483011023e-09
1370.9999999895745282.08509436840167e-081.04254718420084e-08
1380.9999999879593682.40812633714405e-081.20406316857203e-08
1390.9999999808887653.8222469163402e-081.9111234581701e-08
1400.9999999768139264.63721477084347e-082.31860738542173e-08
1410.9999999624824447.50351122767326e-083.75175561383663e-08
1420.9999999732895115.34209781303649e-082.67104890651824e-08
1430.9999999701937145.96125712193675e-082.98062856096838e-08
1440.9999999577814028.44371963298205e-084.22185981649103e-08
1450.9999999330918181.33816364830058e-076.69081824150289e-08
1460.9999999402093351.19581329259177e-075.97906646295884e-08
1470.9999999067406431.86518713842305e-079.32593569211523e-08
1480.9999998510351322.97929735730133e-071.48964867865066e-07
1490.9999998885858542.22828292216562e-071.11414146108281e-07
1500.9999998348865763.30226847738436e-071.65113423869218e-07
1510.9999998207494263.58501147850218e-071.79250573925109e-07
1520.9999998105341383.78931723202128e-071.89465861601064e-07
1530.9999998379621693.24075661415132e-071.62037830707566e-07
1540.9999999954858389.02832379444869e-094.51416189722435e-09
1550.9999999967050166.5899680579034e-093.2949840289517e-09
1560.9999999945401961.09196087740437e-085.45980438702184e-09
1570.9999999973213235.35735414663477e-092.67867707331738e-09
1580.9999999989846732.03065504900926e-091.01532752450463e-09
1590.9999999984092583.18148413903948e-091.59074206951974e-09
1600.9999999974161365.1677282225559e-092.58386411127795e-09
1610.9999999981730163.65396717488308e-091.82698358744154e-09
1620.999999997056355.88729905775715e-092.94364952887858e-09
1630.9999999959735158.05297074172254e-094.02648537086127e-09
1640.9999999993900041.21999181845482e-096.09995909227411e-10
1650.9999999989255582.14888424860308e-091.07444212430154e-09
1660.9999999989008362.19832725283679e-091.0991636264184e-09
1670.9999999992340081.53198459149768e-097.6599229574884e-10
1680.9999999991699751.66005014985358e-098.3002507492679e-10
1690.9999999987409272.51814649662575e-091.25907324831288e-09
1700.9999999979659254.06814983035351e-092.03407491517676e-09
1710.9999999979514524.09709515928467e-092.04854757964233e-09
1720.9999999973554865.28902881733148e-092.64451440866574e-09
1730.9999999989738922.05221657739168e-091.02610828869584e-09
1740.9999999988072922.38541629596362e-091.19270814798181e-09
1750.9999999996972176.0556653306036e-103.0278326653018e-10
1760.9999999996720336.55933275963816e-103.27966637981908e-10
1770.9999999996452147.09571573952854e-103.54785786976427e-10
1780.9999999993654951.26900933040539e-096.34504665202697e-10
1790.9999999993310531.33789356294209e-096.68946781471043e-10
1800.9999999990474961.90500803543849e-099.52504017719244e-10
1810.9999999989142512.17149891581266e-091.08574945790633e-09
1820.9999999984850543.02989099573379e-091.51494549786689e-09
1830.999999997357925.28416043412626e-092.64208021706313e-09
1840.9999999954214269.15714840126889e-094.57857420063445e-09
1850.9999999960772487.84550452042582e-093.92275226021291e-09
1860.9999999933554051.32891906057908e-086.64459530289541e-09
1870.9999999927216841.45566309254479e-087.27831546272394e-09
1880.9999999879180192.41639616677939e-081.2081980833897e-08
1890.999999988392422.32151601262231e-081.16075800631115e-08
1900.9999999822886433.54227150846175e-081.77113575423088e-08
1910.9999999704535865.90928275648581e-082.9546413782429e-08
1920.9999999769786634.60426743201479e-082.30213371600739e-08
1930.999999962358057.52838998500861e-083.7641949925043e-08
1940.9999999461368841.07726231057771e-075.38631155288854e-08
1950.9999999632420137.35159746719638e-083.67579873359819e-08
1960.9999999374146611.25170678464981e-076.25853392324906e-08
1970.9999999228048221.54390356982687e-077.71951784913437e-08
1980.9999999140274671.71945065480104e-078.59725327400518e-08
1990.9999998968649512.0627009752101e-071.03135048760505e-07
2000.9999998591400092.81719981426985e-071.40859990713493e-07
2010.9999997735349754.52930049140525e-072.26465024570263e-07
2020.9999996135341857.72931630182477e-073.86465815091239e-07
2030.9999993923856791.21522864168102e-066.07614320840512e-07
2040.9999990204832961.95903340875693e-069.79516704378463e-07
2050.999998818513342.36297332029875e-061.18148666014937e-06
2060.999998026454993.94709001931621e-061.97354500965811e-06
2070.9999985496329752.9007340493417e-061.45036702467085e-06
2080.9999988554117632.2891764731513e-061.14458823657565e-06
2090.9999981282518553.74349629024334e-061.87174814512167e-06
2100.9999974048384645.1903230724204e-062.5951615362102e-06
2110.9999962971775587.40564488474251e-063.70282244237126e-06
2120.9999974554910755.0890178502599e-062.54450892512995e-06
2130.9999960669156477.86616870669274e-063.93308435334637e-06
2140.9999940933571771.18132856451862e-055.9066428225931e-06
2150.9999907073871881.85852256247726e-059.29261281238629e-06
2160.9999850522093452.98955813106337e-051.49477906553169e-05
2170.9999764227492264.71545015483447e-052.35772507741724e-05
2180.9999692620813946.147583721099e-053.0737918605495e-05
2190.9999556469465058.8706106990411e-054.43530534952055e-05
2200.9999334624742330.0001330750515340086.6537525767004e-05
2210.9998953271885740.0002093456228524040.000104672811426202
2220.9999855141071372.8971785726617e-051.44858928633085e-05
2230.9999870209029862.59581940281697e-051.29790970140848e-05
2240.9999783673266974.32653466051538e-052.16326733025769e-05
2250.9999703508159515.92983680990004e-052.96491840495002e-05
2260.999956525356588.69492868397368e-054.34746434198684e-05
2270.9999323653744840.0001352692510314936.76346255157464e-05
2280.9999450382547790.0001099234904416995.49617452208497e-05
2290.9999518887149569.62225700876091e-054.81112850438045e-05
2300.9999754601877814.90796244380133e-052.45398122190066e-05
2310.9999690964799266.18070401474906e-053.09035200737453e-05
2320.999976518837334.69623253400367e-052.34811626700183e-05
2330.9999786273062094.27453875817742e-052.13726937908871e-05
2340.9999627011142167.45977715682766e-053.72988857841383e-05
2350.9999630945203377.38109593256363e-053.69054796628182e-05
2360.9999372718074440.0001254563851117156.27281925558575e-05
2370.9999283174467220.000143365106556817.1682553278405e-05
2380.9999043467403960.0001913065192078449.56532596039218e-05
2390.9998536672536980.0002926654926043790.00014633274630219
2400.999802472401160.0003950551976796470.000197527598839824
2410.9996691829457240.0006616341085526120.000330817054276306
2420.9999971148538935.77029221328514e-062.88514610664257e-06
2430.999994195197781.16096044395477e-055.80480221977387e-06
2440.9999891028025022.17943949960326e-051.08971974980163e-05
2450.9999796075760964.0784847807242e-052.0392423903621e-05
2460.999966579228246.68415435202621e-053.34207717601311e-05
2470.9999963402916847.31941663126463e-063.65970831563231e-06
2480.9999923932770451.52134459096391e-057.60672295481956e-06
2490.9999869270308772.61459382454332e-051.30729691227166e-05
2500.9999770214064924.5957187016832e-052.2978593508416e-05
2510.999965559894886.88802102407543e-053.44401051203772e-05
2520.9999316015677490.0001367968645022786.8398432251139e-05
2530.9998681148740340.0002637702519316020.000131885125965801
2540.9997569474379340.0004861051241312410.00024305256206562
2550.9995321546251230.0009356907497535360.000467845374876768
2560.9992996927574090.001400614485182480.000700307242591241
2570.998677368158750.002645263682501040.00132263184125052
2580.9984061607943240.003187678411352980.00159383920567649
2590.9970893891730190.005821221653962140.00291061082698107
2600.9948765825871510.01024683482569730.00512341741284867
2610.9969233885372190.006153222925563070.00307661146278153
2620.9954138925967570.009172214806486870.00458610740324344
2630.9923647733887570.01527045322248660.00763522661124332
2640.9875677384019480.02486452319610360.0124322615980518
2650.9780945796720110.04381084065597850.0219054203279892
2660.9652838102725120.06943237945497620.0347161897274881
2670.9462545635283030.1074908729433930.0537454364716967
2680.965682552146240.06863489570751960.0343174478537598
2690.9508718417795390.09825631644092160.0491281582204608
2700.9831372461111960.0337255077776080.016862753888804
2710.9660881998819710.06782360023605890.0339118001180295
2720.931976696283130.136046607433740.0680233037168698
2730.8891882802105810.2216234395788380.110811719789419
2740.8012676240481630.3974647519036740.198732375951837
2750.6540442728719170.6919114542561660.345955727128083

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
14 & 0.110496570254835 & 0.220993140509671 & 0.889503429745165 \tabularnewline
15 & 0.141037540719329 & 0.282075081438657 & 0.858962459280671 \tabularnewline
16 & 0.127315716468879 & 0.254631432937757 & 0.872684283531121 \tabularnewline
17 & 0.367774274298085 & 0.735548548596171 & 0.632225725701915 \tabularnewline
18 & 0.559930304675267 & 0.880139390649466 & 0.440069695324733 \tabularnewline
19 & 0.532327152957349 & 0.935345694085303 & 0.467672847042651 \tabularnewline
20 & 0.548742088971732 & 0.902515822056537 & 0.451257911028268 \tabularnewline
21 & 0.536605057039688 & 0.926789885920625 & 0.463394942960312 \tabularnewline
22 & 0.451029064856848 & 0.902058129713696 & 0.548970935143152 \tabularnewline
23 & 0.40871362191334 & 0.817427243826679 & 0.59128637808666 \tabularnewline
24 & 0.327783519622107 & 0.655567039244215 & 0.672216480377893 \tabularnewline
25 & 0.314244263009942 & 0.628488526019885 & 0.685755736990058 \tabularnewline
26 & 0.258512672960647 & 0.517025345921293 & 0.741487327039353 \tabularnewline
27 & 0.269345773296115 & 0.53869154659223 & 0.730654226703885 \tabularnewline
28 & 0.283083105073703 & 0.566166210147406 & 0.716916894926297 \tabularnewline
29 & 0.271232748938378 & 0.542465497876756 & 0.728767251061622 \tabularnewline
30 & 0.220042443245204 & 0.440084886490409 & 0.779957556754796 \tabularnewline
31 & 0.330678862695596 & 0.661357725391192 & 0.669321137304404 \tabularnewline
32 & 0.299876474394809 & 0.599752948789619 & 0.700123525605191 \tabularnewline
33 & 0.292764923580584 & 0.585529847161167 & 0.707235076419416 \tabularnewline
34 & 0.310995104798225 & 0.621990209596451 & 0.689004895201775 \tabularnewline
35 & 0.285491777768123 & 0.570983555536245 & 0.714508222231877 \tabularnewline
36 & 0.245953489625869 & 0.491906979251738 & 0.754046510374131 \tabularnewline
37 & 0.217061662274214 & 0.434123324548427 & 0.782938337725786 \tabularnewline
38 & 0.215493178070628 & 0.430986356141257 & 0.784506821929372 \tabularnewline
39 & 0.283717177780696 & 0.567434355561392 & 0.716282822219304 \tabularnewline
40 & 0.23969774034186 & 0.479395480683719 & 0.76030225965814 \tabularnewline
41 & 0.201353087668145 & 0.40270617533629 & 0.798646912331855 \tabularnewline
42 & 0.181502545371957 & 0.363005090743914 & 0.818497454628043 \tabularnewline
43 & 0.333754343031325 & 0.66750868606265 & 0.666245656968675 \tabularnewline
44 & 0.3851527771798 & 0.770305554359599 & 0.6148472228202 \tabularnewline
45 & 0.383651582606453 & 0.767303165212907 & 0.616348417393547 \tabularnewline
46 & 0.392723829707021 & 0.785447659414043 & 0.607276170292979 \tabularnewline
47 & 0.567348827736059 & 0.865302344527882 & 0.432651172263941 \tabularnewline
48 & 0.522093240666242 & 0.955813518667517 & 0.477906759333758 \tabularnewline
49 & 0.483760222044914 & 0.967520444089828 & 0.516239777955086 \tabularnewline
50 & 0.509144041085594 & 0.981711917828812 & 0.490855958914406 \tabularnewline
51 & 0.728322064132491 & 0.543355871735017 & 0.271677935867509 \tabularnewline
52 & 0.693260981504785 & 0.613478036990431 & 0.306739018495215 \tabularnewline
53 & 0.675511668160713 & 0.648976663678573 & 0.324488331839287 \tabularnewline
54 & 0.880863960655071 & 0.238272078689858 & 0.119136039344929 \tabularnewline
55 & 0.900662836586257 & 0.198674326827485 & 0.0993371634137426 \tabularnewline
56 & 0.885719758250575 & 0.22856048349885 & 0.114280241749425 \tabularnewline
57 & 0.868484743611079 & 0.263030512777841 & 0.131515256388921 \tabularnewline
58 & 0.863969840158356 & 0.272060319683288 & 0.136030159841644 \tabularnewline
59 & 0.838928094120311 & 0.322143811759379 & 0.161071905879689 \tabularnewline
60 & 0.813852707253496 & 0.372294585493007 & 0.186147292746504 \tabularnewline
61 & 0.795152398996819 & 0.409695202006363 & 0.204847601003181 \tabularnewline
62 & 0.881136542295489 & 0.237726915409021 & 0.118863457704511 \tabularnewline
63 & 0.999999999900666 & 1.98668334532439e-10 & 9.93341672662193e-11 \tabularnewline
64 & 0.999999999814442 & 3.71115429096159e-10 & 1.85557714548079e-10 \tabularnewline
65 & 0.999999999903662 & 1.92675594816328e-10 & 9.6337797408164e-11 \tabularnewline
66 & 0.99999999993564 & 1.28719948663994e-10 & 6.4359974331997e-11 \tabularnewline
67 & 0.999999999891914 & 2.16171478821211e-10 & 1.08085739410605e-10 \tabularnewline
68 & 0.999999999979276 & 4.14473113754637e-11 & 2.07236556877319e-11 \tabularnewline
69 & 0.999999999964716 & 7.05677320815329e-11 & 3.52838660407665e-11 \tabularnewline
70 & 0.999999999939815 & 1.20370613749956e-10 & 6.0185306874978e-11 \tabularnewline
71 & 0.999999999898732 & 2.02536497918848e-10 & 1.01268248959424e-10 \tabularnewline
72 & 0.999999999928848 & 1.42304890003342e-10 & 7.11524450016712e-11 \tabularnewline
73 & 0.999999999915013 & 1.69973521018453e-10 & 8.49867605092263e-11 \tabularnewline
74 & 0.99999999987272 & 2.54560397767336e-10 & 1.27280198883668e-10 \tabularnewline
75 & 0.99999999996814 & 6.37192796080287e-11 & 3.18596398040143e-11 \tabularnewline
76 & 0.999999999954424 & 9.11510787607779e-11 & 4.55755393803889e-11 \tabularnewline
77 & 0.999999999932003 & 1.35994061260105e-10 & 6.79970306300526e-11 \tabularnewline
78 & 0.999999999913313 & 1.73373373537028e-10 & 8.66866867685141e-11 \tabularnewline
79 & 0.999999999887971 & 2.24058191389122e-10 & 1.12029095694561e-10 \tabularnewline
80 & 0.999999999837025 & 3.25949309265455e-10 & 1.62974654632728e-10 \tabularnewline
81 & 0.999999999953229 & 9.3541690065092e-11 & 4.6770845032546e-11 \tabularnewline
82 & 0.999999999916978 & 1.66044968586316e-10 & 8.3022484293158e-11 \tabularnewline
83 & 0.999999999994847 & 1.03065946362747e-11 & 5.15329731813737e-12 \tabularnewline
84 & 0.999999999994648 & 1.07037982714108e-11 & 5.35189913570542e-12 \tabularnewline
85 & 0.999999999992855 & 1.42893472642155e-11 & 7.14467363210773e-12 \tabularnewline
86 & 0.999999999988311 & 2.33781293108594e-11 & 1.16890646554297e-11 \tabularnewline
87 & 0.99999999998238 & 3.52396677077218e-11 & 1.76198338538609e-11 \tabularnewline
88 & 0.999999999968984 & 6.20327846278161e-11 & 3.1016392313908e-11 \tabularnewline
89 & 0.999999999972979 & 5.40418110483988e-11 & 2.70209055241994e-11 \tabularnewline
90 & 0.999999999989126 & 2.17489104744869e-11 & 1.08744552372434e-11 \tabularnewline
91 & 0.999999999994474 & 1.10523297629297e-11 & 5.52616488146485e-12 \tabularnewline
92 & 0.999999999997071 & 5.85735267507169e-12 & 2.92867633753584e-12 \tabularnewline
93 & 0.999999999998937 & 2.12702050536307e-12 & 1.06351025268153e-12 \tabularnewline
94 & 0.999999999997994 & 4.01093846193617e-12 & 2.00546923096809e-12 \tabularnewline
95 & 0.999999999996932 & 6.13693852373599e-12 & 3.06846926186799e-12 \tabularnewline
96 & 0.999999999998227 & 3.54627840145016e-12 & 1.77313920072508e-12 \tabularnewline
97 & 0.99999999999678 & 6.43913593836476e-12 & 3.21956796918238e-12 \tabularnewline
98 & 0.999999999997446 & 5.10840306886047e-12 & 2.55420153443023e-12 \tabularnewline
99 & 0.999999999996366 & 7.26788131477099e-12 & 3.6339406573855e-12 \tabularnewline
100 & 0.999999999993501 & 1.29986993365091e-11 & 6.49934966825457e-12 \tabularnewline
101 & 0.999999999990709 & 1.85816769098275e-11 & 9.29083845491374e-12 \tabularnewline
102 & 0.999999999984891 & 3.02184511944737e-11 & 1.51092255972368e-11 \tabularnewline
103 & 0.999999999990737 & 1.85252051314339e-11 & 9.26260256571695e-12 \tabularnewline
104 & 0.999999999984744 & 3.05121639504192e-11 & 1.52560819752096e-11 \tabularnewline
105 & 0.999999999976381 & 4.72373791861882e-11 & 2.36186895930941e-11 \tabularnewline
106 & 0.999999999975379 & 4.92425991231978e-11 & 2.46212995615989e-11 \tabularnewline
107 & 0.999999999995 & 1.00006360629611e-11 & 5.00031803148054e-12 \tabularnewline
108 & 0.999999999996843 & 6.31365827985928e-12 & 3.15682913992964e-12 \tabularnewline
109 & 0.999999999994888 & 1.02235354519326e-11 & 5.11176772596629e-12 \tabularnewline
110 & 0.999999999991812 & 1.63767550179275e-11 & 8.18837750896373e-12 \tabularnewline
111 & 0.999999999988972 & 2.20551081346587e-11 & 1.10275540673293e-11 \tabularnewline
112 & 0.999999999981234 & 3.75322866086036e-11 & 1.87661433043018e-11 \tabularnewline
113 & 0.999999999969588 & 6.08230609601745e-11 & 3.04115304800872e-11 \tabularnewline
114 & 0.999999999954959 & 9.00818982732286e-11 & 4.50409491366143e-11 \tabularnewline
115 & 0.999999999925012 & 1.4997611501586e-10 & 7.498805750793e-11 \tabularnewline
116 & 0.999999999986939 & 2.61222607468667e-11 & 1.30611303734333e-11 \tabularnewline
117 & 0.999999999979805 & 4.03906826496727e-11 & 2.01953413248363e-11 \tabularnewline
118 & 0.999999999976309 & 4.7381304789382e-11 & 2.3690652394691e-11 \tabularnewline
119 & 0.999999999957607 & 8.47853477383271e-11 & 4.23926738691635e-11 \tabularnewline
120 & 0.999999999955689 & 8.86227509095807e-11 & 4.43113754547904e-11 \tabularnewline
121 & 0.999999999943862 & 1.12275792019875e-10 & 5.61378960099373e-11 \tabularnewline
122 & 0.999999999912724 & 1.74551821826638e-10 & 8.72759109133189e-11 \tabularnewline
123 & 0.999999999876291 & 2.47417837146959e-10 & 1.23708918573479e-10 \tabularnewline
124 & 0.999999999799476 & 4.01047267456984e-10 & 2.00523633728492e-10 \tabularnewline
125 & 0.99999999965751 & 6.84979217159073e-10 & 3.42489608579537e-10 \tabularnewline
126 & 0.999999999467274 & 1.06545286476017e-09 & 5.32726432380085e-10 \tabularnewline
127 & 0.99999999909639 & 1.80721966801823e-09 & 9.03609834009116e-10 \tabularnewline
128 & 0.999999999143777 & 1.71244614480139e-09 & 8.56223072400695e-10 \tabularnewline
129 & 0.999999998671758 & 2.65648445349684e-09 & 1.32824222674842e-09 \tabularnewline
130 & 0.999999997787952 & 4.42409633220575e-09 & 2.21204816610288e-09 \tabularnewline
131 & 0.999999996656955 & 6.68608915472225e-09 & 3.34304457736113e-09 \tabularnewline
132 & 0.999999994458575 & 1.10828492894767e-08 & 5.54142464473834e-09 \tabularnewline
133 & 0.999999991219646 & 1.75607070997357e-08 & 8.78035354986784e-09 \tabularnewline
134 & 0.999999996444217 & 7.11156538523212e-09 & 3.55578269261606e-09 \tabularnewline
135 & 0.999999994070456 & 1.18590875476982e-08 & 5.92954377384908e-09 \tabularnewline
136 & 0.999999993718785 & 1.25624296602205e-08 & 6.28121483011023e-09 \tabularnewline
137 & 0.999999989574528 & 2.08509436840167e-08 & 1.04254718420084e-08 \tabularnewline
138 & 0.999999987959368 & 2.40812633714405e-08 & 1.20406316857203e-08 \tabularnewline
139 & 0.999999980888765 & 3.8222469163402e-08 & 1.9111234581701e-08 \tabularnewline
140 & 0.999999976813926 & 4.63721477084347e-08 & 2.31860738542173e-08 \tabularnewline
141 & 0.999999962482444 & 7.50351122767326e-08 & 3.75175561383663e-08 \tabularnewline
142 & 0.999999973289511 & 5.34209781303649e-08 & 2.67104890651824e-08 \tabularnewline
143 & 0.999999970193714 & 5.96125712193675e-08 & 2.98062856096838e-08 \tabularnewline
144 & 0.999999957781402 & 8.44371963298205e-08 & 4.22185981649103e-08 \tabularnewline
145 & 0.999999933091818 & 1.33816364830058e-07 & 6.69081824150289e-08 \tabularnewline
146 & 0.999999940209335 & 1.19581329259177e-07 & 5.97906646295884e-08 \tabularnewline
147 & 0.999999906740643 & 1.86518713842305e-07 & 9.32593569211523e-08 \tabularnewline
148 & 0.999999851035132 & 2.97929735730133e-07 & 1.48964867865066e-07 \tabularnewline
149 & 0.999999888585854 & 2.22828292216562e-07 & 1.11414146108281e-07 \tabularnewline
150 & 0.999999834886576 & 3.30226847738436e-07 & 1.65113423869218e-07 \tabularnewline
151 & 0.999999820749426 & 3.58501147850218e-07 & 1.79250573925109e-07 \tabularnewline
152 & 0.999999810534138 & 3.78931723202128e-07 & 1.89465861601064e-07 \tabularnewline
153 & 0.999999837962169 & 3.24075661415132e-07 & 1.62037830707566e-07 \tabularnewline
154 & 0.999999995485838 & 9.02832379444869e-09 & 4.51416189722435e-09 \tabularnewline
155 & 0.999999996705016 & 6.5899680579034e-09 & 3.2949840289517e-09 \tabularnewline
156 & 0.999999994540196 & 1.09196087740437e-08 & 5.45980438702184e-09 \tabularnewline
157 & 0.999999997321323 & 5.35735414663477e-09 & 2.67867707331738e-09 \tabularnewline
158 & 0.999999998984673 & 2.03065504900926e-09 & 1.01532752450463e-09 \tabularnewline
159 & 0.999999998409258 & 3.18148413903948e-09 & 1.59074206951974e-09 \tabularnewline
160 & 0.999999997416136 & 5.1677282225559e-09 & 2.58386411127795e-09 \tabularnewline
161 & 0.999999998173016 & 3.65396717488308e-09 & 1.82698358744154e-09 \tabularnewline
162 & 0.99999999705635 & 5.88729905775715e-09 & 2.94364952887858e-09 \tabularnewline
163 & 0.999999995973515 & 8.05297074172254e-09 & 4.02648537086127e-09 \tabularnewline
164 & 0.999999999390004 & 1.21999181845482e-09 & 6.09995909227411e-10 \tabularnewline
165 & 0.999999998925558 & 2.14888424860308e-09 & 1.07444212430154e-09 \tabularnewline
166 & 0.999999998900836 & 2.19832725283679e-09 & 1.0991636264184e-09 \tabularnewline
167 & 0.999999999234008 & 1.53198459149768e-09 & 7.6599229574884e-10 \tabularnewline
168 & 0.999999999169975 & 1.66005014985358e-09 & 8.3002507492679e-10 \tabularnewline
169 & 0.999999998740927 & 2.51814649662575e-09 & 1.25907324831288e-09 \tabularnewline
170 & 0.999999997965925 & 4.06814983035351e-09 & 2.03407491517676e-09 \tabularnewline
171 & 0.999999997951452 & 4.09709515928467e-09 & 2.04854757964233e-09 \tabularnewline
172 & 0.999999997355486 & 5.28902881733148e-09 & 2.64451440866574e-09 \tabularnewline
173 & 0.999999998973892 & 2.05221657739168e-09 & 1.02610828869584e-09 \tabularnewline
174 & 0.999999998807292 & 2.38541629596362e-09 & 1.19270814798181e-09 \tabularnewline
175 & 0.999999999697217 & 6.0556653306036e-10 & 3.0278326653018e-10 \tabularnewline
176 & 0.999999999672033 & 6.55933275963816e-10 & 3.27966637981908e-10 \tabularnewline
177 & 0.999999999645214 & 7.09571573952854e-10 & 3.54785786976427e-10 \tabularnewline
178 & 0.999999999365495 & 1.26900933040539e-09 & 6.34504665202697e-10 \tabularnewline
179 & 0.999999999331053 & 1.33789356294209e-09 & 6.68946781471043e-10 \tabularnewline
180 & 0.999999999047496 & 1.90500803543849e-09 & 9.52504017719244e-10 \tabularnewline
181 & 0.999999998914251 & 2.17149891581266e-09 & 1.08574945790633e-09 \tabularnewline
182 & 0.999999998485054 & 3.02989099573379e-09 & 1.51494549786689e-09 \tabularnewline
183 & 0.99999999735792 & 5.28416043412626e-09 & 2.64208021706313e-09 \tabularnewline
184 & 0.999999995421426 & 9.15714840126889e-09 & 4.57857420063445e-09 \tabularnewline
185 & 0.999999996077248 & 7.84550452042582e-09 & 3.92275226021291e-09 \tabularnewline
186 & 0.999999993355405 & 1.32891906057908e-08 & 6.64459530289541e-09 \tabularnewline
187 & 0.999999992721684 & 1.45566309254479e-08 & 7.27831546272394e-09 \tabularnewline
188 & 0.999999987918019 & 2.41639616677939e-08 & 1.2081980833897e-08 \tabularnewline
189 & 0.99999998839242 & 2.32151601262231e-08 & 1.16075800631115e-08 \tabularnewline
190 & 0.999999982288643 & 3.54227150846175e-08 & 1.77113575423088e-08 \tabularnewline
191 & 0.999999970453586 & 5.90928275648581e-08 & 2.9546413782429e-08 \tabularnewline
192 & 0.999999976978663 & 4.60426743201479e-08 & 2.30213371600739e-08 \tabularnewline
193 & 0.99999996235805 & 7.52838998500861e-08 & 3.7641949925043e-08 \tabularnewline
194 & 0.999999946136884 & 1.07726231057771e-07 & 5.38631155288854e-08 \tabularnewline
195 & 0.999999963242013 & 7.35159746719638e-08 & 3.67579873359819e-08 \tabularnewline
196 & 0.999999937414661 & 1.25170678464981e-07 & 6.25853392324906e-08 \tabularnewline
197 & 0.999999922804822 & 1.54390356982687e-07 & 7.71951784913437e-08 \tabularnewline
198 & 0.999999914027467 & 1.71945065480104e-07 & 8.59725327400518e-08 \tabularnewline
199 & 0.999999896864951 & 2.0627009752101e-07 & 1.03135048760505e-07 \tabularnewline
200 & 0.999999859140009 & 2.81719981426985e-07 & 1.40859990713493e-07 \tabularnewline
201 & 0.999999773534975 & 4.52930049140525e-07 & 2.26465024570263e-07 \tabularnewline
202 & 0.999999613534185 & 7.72931630182477e-07 & 3.86465815091239e-07 \tabularnewline
203 & 0.999999392385679 & 1.21522864168102e-06 & 6.07614320840512e-07 \tabularnewline
204 & 0.999999020483296 & 1.95903340875693e-06 & 9.79516704378463e-07 \tabularnewline
205 & 0.99999881851334 & 2.36297332029875e-06 & 1.18148666014937e-06 \tabularnewline
206 & 0.99999802645499 & 3.94709001931621e-06 & 1.97354500965811e-06 \tabularnewline
207 & 0.999998549632975 & 2.9007340493417e-06 & 1.45036702467085e-06 \tabularnewline
208 & 0.999998855411763 & 2.2891764731513e-06 & 1.14458823657565e-06 \tabularnewline
209 & 0.999998128251855 & 3.74349629024334e-06 & 1.87174814512167e-06 \tabularnewline
210 & 0.999997404838464 & 5.1903230724204e-06 & 2.5951615362102e-06 \tabularnewline
211 & 0.999996297177558 & 7.40564488474251e-06 & 3.70282244237126e-06 \tabularnewline
212 & 0.999997455491075 & 5.0890178502599e-06 & 2.54450892512995e-06 \tabularnewline
213 & 0.999996066915647 & 7.86616870669274e-06 & 3.93308435334637e-06 \tabularnewline
214 & 0.999994093357177 & 1.18132856451862e-05 & 5.9066428225931e-06 \tabularnewline
215 & 0.999990707387188 & 1.85852256247726e-05 & 9.29261281238629e-06 \tabularnewline
216 & 0.999985052209345 & 2.98955813106337e-05 & 1.49477906553169e-05 \tabularnewline
217 & 0.999976422749226 & 4.71545015483447e-05 & 2.35772507741724e-05 \tabularnewline
218 & 0.999969262081394 & 6.147583721099e-05 & 3.0737918605495e-05 \tabularnewline
219 & 0.999955646946505 & 8.8706106990411e-05 & 4.43530534952055e-05 \tabularnewline
220 & 0.999933462474233 & 0.000133075051534008 & 6.6537525767004e-05 \tabularnewline
221 & 0.999895327188574 & 0.000209345622852404 & 0.000104672811426202 \tabularnewline
222 & 0.999985514107137 & 2.8971785726617e-05 & 1.44858928633085e-05 \tabularnewline
223 & 0.999987020902986 & 2.59581940281697e-05 & 1.29790970140848e-05 \tabularnewline
224 & 0.999978367326697 & 4.32653466051538e-05 & 2.16326733025769e-05 \tabularnewline
225 & 0.999970350815951 & 5.92983680990004e-05 & 2.96491840495002e-05 \tabularnewline
226 & 0.99995652535658 & 8.69492868397368e-05 & 4.34746434198684e-05 \tabularnewline
227 & 0.999932365374484 & 0.000135269251031493 & 6.76346255157464e-05 \tabularnewline
228 & 0.999945038254779 & 0.000109923490441699 & 5.49617452208497e-05 \tabularnewline
229 & 0.999951888714956 & 9.62225700876091e-05 & 4.81112850438045e-05 \tabularnewline
230 & 0.999975460187781 & 4.90796244380133e-05 & 2.45398122190066e-05 \tabularnewline
231 & 0.999969096479926 & 6.18070401474906e-05 & 3.09035200737453e-05 \tabularnewline
232 & 0.99997651883733 & 4.69623253400367e-05 & 2.34811626700183e-05 \tabularnewline
233 & 0.999978627306209 & 4.27453875817742e-05 & 2.13726937908871e-05 \tabularnewline
234 & 0.999962701114216 & 7.45977715682766e-05 & 3.72988857841383e-05 \tabularnewline
235 & 0.999963094520337 & 7.38109593256363e-05 & 3.69054796628182e-05 \tabularnewline
236 & 0.999937271807444 & 0.000125456385111715 & 6.27281925558575e-05 \tabularnewline
237 & 0.999928317446722 & 0.00014336510655681 & 7.1682553278405e-05 \tabularnewline
238 & 0.999904346740396 & 0.000191306519207844 & 9.56532596039218e-05 \tabularnewline
239 & 0.999853667253698 & 0.000292665492604379 & 0.00014633274630219 \tabularnewline
240 & 0.99980247240116 & 0.000395055197679647 & 0.000197527598839824 \tabularnewline
241 & 0.999669182945724 & 0.000661634108552612 & 0.000330817054276306 \tabularnewline
242 & 0.999997114853893 & 5.77029221328514e-06 & 2.88514610664257e-06 \tabularnewline
243 & 0.99999419519778 & 1.16096044395477e-05 & 5.80480221977387e-06 \tabularnewline
244 & 0.999989102802502 & 2.17943949960326e-05 & 1.08971974980163e-05 \tabularnewline
245 & 0.999979607576096 & 4.0784847807242e-05 & 2.0392423903621e-05 \tabularnewline
246 & 0.99996657922824 & 6.68415435202621e-05 & 3.34207717601311e-05 \tabularnewline
247 & 0.999996340291684 & 7.31941663126463e-06 & 3.65970831563231e-06 \tabularnewline
248 & 0.999992393277045 & 1.52134459096391e-05 & 7.60672295481956e-06 \tabularnewline
249 & 0.999986927030877 & 2.61459382454332e-05 & 1.30729691227166e-05 \tabularnewline
250 & 0.999977021406492 & 4.5957187016832e-05 & 2.2978593508416e-05 \tabularnewline
251 & 0.99996555989488 & 6.88802102407543e-05 & 3.44401051203772e-05 \tabularnewline
252 & 0.999931601567749 & 0.000136796864502278 & 6.8398432251139e-05 \tabularnewline
253 & 0.999868114874034 & 0.000263770251931602 & 0.000131885125965801 \tabularnewline
254 & 0.999756947437934 & 0.000486105124131241 & 0.00024305256206562 \tabularnewline
255 & 0.999532154625123 & 0.000935690749753536 & 0.000467845374876768 \tabularnewline
256 & 0.999299692757409 & 0.00140061448518248 & 0.000700307242591241 \tabularnewline
257 & 0.99867736815875 & 0.00264526368250104 & 0.00132263184125052 \tabularnewline
258 & 0.998406160794324 & 0.00318767841135298 & 0.00159383920567649 \tabularnewline
259 & 0.997089389173019 & 0.00582122165396214 & 0.00291061082698107 \tabularnewline
260 & 0.994876582587151 & 0.0102468348256973 & 0.00512341741284867 \tabularnewline
261 & 0.996923388537219 & 0.00615322292556307 & 0.00307661146278153 \tabularnewline
262 & 0.995413892596757 & 0.00917221480648687 & 0.00458610740324344 \tabularnewline
263 & 0.992364773388757 & 0.0152704532224866 & 0.00763522661124332 \tabularnewline
264 & 0.987567738401948 & 0.0248645231961036 & 0.0124322615980518 \tabularnewline
265 & 0.978094579672011 & 0.0438108406559785 & 0.0219054203279892 \tabularnewline
266 & 0.965283810272512 & 0.0694323794549762 & 0.0347161897274881 \tabularnewline
267 & 0.946254563528303 & 0.107490872943393 & 0.0537454364716967 \tabularnewline
268 & 0.96568255214624 & 0.0686348957075196 & 0.0343174478537598 \tabularnewline
269 & 0.950871841779539 & 0.0982563164409216 & 0.0491281582204608 \tabularnewline
270 & 0.983137246111196 & 0.033725507777608 & 0.016862753888804 \tabularnewline
271 & 0.966088199881971 & 0.0678236002360589 & 0.0339118001180295 \tabularnewline
272 & 0.93197669628313 & 0.13604660743374 & 0.0680233037168698 \tabularnewline
273 & 0.889188280210581 & 0.221623439578838 & 0.110811719789419 \tabularnewline
274 & 0.801267624048163 & 0.397464751903674 & 0.198732375951837 \tabularnewline
275 & 0.654044272871917 & 0.691911454256166 & 0.345955727128083 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=199440&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]14[/C][C]0.110496570254835[/C][C]0.220993140509671[/C][C]0.889503429745165[/C][/ROW]
[ROW][C]15[/C][C]0.141037540719329[/C][C]0.282075081438657[/C][C]0.858962459280671[/C][/ROW]
[ROW][C]16[/C][C]0.127315716468879[/C][C]0.254631432937757[/C][C]0.872684283531121[/C][/ROW]
[ROW][C]17[/C][C]0.367774274298085[/C][C]0.735548548596171[/C][C]0.632225725701915[/C][/ROW]
[ROW][C]18[/C][C]0.559930304675267[/C][C]0.880139390649466[/C][C]0.440069695324733[/C][/ROW]
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[ROW][C]76[/C][C]0.999999999954424[/C][C]9.11510787607779e-11[/C][C]4.55755393803889e-11[/C][/ROW]
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[ROW][C]87[/C][C]0.99999999998238[/C][C]3.52396677077218e-11[/C][C]1.76198338538609e-11[/C][/ROW]
[ROW][C]88[/C][C]0.999999999968984[/C][C]6.20327846278161e-11[/C][C]3.1016392313908e-11[/C][/ROW]
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[ROW][C]90[/C][C]0.999999999989126[/C][C]2.17489104744869e-11[/C][C]1.08744552372434e-11[/C][/ROW]
[ROW][C]91[/C][C]0.999999999994474[/C][C]1.10523297629297e-11[/C][C]5.52616488146485e-12[/C][/ROW]
[ROW][C]92[/C][C]0.999999999997071[/C][C]5.85735267507169e-12[/C][C]2.92867633753584e-12[/C][/ROW]
[ROW][C]93[/C][C]0.999999999998937[/C][C]2.12702050536307e-12[/C][C]1.06351025268153e-12[/C][/ROW]
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[ROW][C]95[/C][C]0.999999999996932[/C][C]6.13693852373599e-12[/C][C]3.06846926186799e-12[/C][/ROW]
[ROW][C]96[/C][C]0.999999999998227[/C][C]3.54627840145016e-12[/C][C]1.77313920072508e-12[/C][/ROW]
[ROW][C]97[/C][C]0.99999999999678[/C][C]6.43913593836476e-12[/C][C]3.21956796918238e-12[/C][/ROW]
[ROW][C]98[/C][C]0.999999999997446[/C][C]5.10840306886047e-12[/C][C]2.55420153443023e-12[/C][/ROW]
[ROW][C]99[/C][C]0.999999999996366[/C][C]7.26788131477099e-12[/C][C]3.6339406573855e-12[/C][/ROW]
[ROW][C]100[/C][C]0.999999999993501[/C][C]1.29986993365091e-11[/C][C]6.49934966825457e-12[/C][/ROW]
[ROW][C]101[/C][C]0.999999999990709[/C][C]1.85816769098275e-11[/C][C]9.29083845491374e-12[/C][/ROW]
[ROW][C]102[/C][C]0.999999999984891[/C][C]3.02184511944737e-11[/C][C]1.51092255972368e-11[/C][/ROW]
[ROW][C]103[/C][C]0.999999999990737[/C][C]1.85252051314339e-11[/C][C]9.26260256571695e-12[/C][/ROW]
[ROW][C]104[/C][C]0.999999999984744[/C][C]3.05121639504192e-11[/C][C]1.52560819752096e-11[/C][/ROW]
[ROW][C]105[/C][C]0.999999999976381[/C][C]4.72373791861882e-11[/C][C]2.36186895930941e-11[/C][/ROW]
[ROW][C]106[/C][C]0.999999999975379[/C][C]4.92425991231978e-11[/C][C]2.46212995615989e-11[/C][/ROW]
[ROW][C]107[/C][C]0.999999999995[/C][C]1.00006360629611e-11[/C][C]5.00031803148054e-12[/C][/ROW]
[ROW][C]108[/C][C]0.999999999996843[/C][C]6.31365827985928e-12[/C][C]3.15682913992964e-12[/C][/ROW]
[ROW][C]109[/C][C]0.999999999994888[/C][C]1.02235354519326e-11[/C][C]5.11176772596629e-12[/C][/ROW]
[ROW][C]110[/C][C]0.999999999991812[/C][C]1.63767550179275e-11[/C][C]8.18837750896373e-12[/C][/ROW]
[ROW][C]111[/C][C]0.999999999988972[/C][C]2.20551081346587e-11[/C][C]1.10275540673293e-11[/C][/ROW]
[ROW][C]112[/C][C]0.999999999981234[/C][C]3.75322866086036e-11[/C][C]1.87661433043018e-11[/C][/ROW]
[ROW][C]113[/C][C]0.999999999969588[/C][C]6.08230609601745e-11[/C][C]3.04115304800872e-11[/C][/ROW]
[ROW][C]114[/C][C]0.999999999954959[/C][C]9.00818982732286e-11[/C][C]4.50409491366143e-11[/C][/ROW]
[ROW][C]115[/C][C]0.999999999925012[/C][C]1.4997611501586e-10[/C][C]7.498805750793e-11[/C][/ROW]
[ROW][C]116[/C][C]0.999999999986939[/C][C]2.61222607468667e-11[/C][C]1.30611303734333e-11[/C][/ROW]
[ROW][C]117[/C][C]0.999999999979805[/C][C]4.03906826496727e-11[/C][C]2.01953413248363e-11[/C][/ROW]
[ROW][C]118[/C][C]0.999999999976309[/C][C]4.7381304789382e-11[/C][C]2.3690652394691e-11[/C][/ROW]
[ROW][C]119[/C][C]0.999999999957607[/C][C]8.47853477383271e-11[/C][C]4.23926738691635e-11[/C][/ROW]
[ROW][C]120[/C][C]0.999999999955689[/C][C]8.86227509095807e-11[/C][C]4.43113754547904e-11[/C][/ROW]
[ROW][C]121[/C][C]0.999999999943862[/C][C]1.12275792019875e-10[/C][C]5.61378960099373e-11[/C][/ROW]
[ROW][C]122[/C][C]0.999999999912724[/C][C]1.74551821826638e-10[/C][C]8.72759109133189e-11[/C][/ROW]
[ROW][C]123[/C][C]0.999999999876291[/C][C]2.47417837146959e-10[/C][C]1.23708918573479e-10[/C][/ROW]
[ROW][C]124[/C][C]0.999999999799476[/C][C]4.01047267456984e-10[/C][C]2.00523633728492e-10[/C][/ROW]
[ROW][C]125[/C][C]0.99999999965751[/C][C]6.84979217159073e-10[/C][C]3.42489608579537e-10[/C][/ROW]
[ROW][C]126[/C][C]0.999999999467274[/C][C]1.06545286476017e-09[/C][C]5.32726432380085e-10[/C][/ROW]
[ROW][C]127[/C][C]0.99999999909639[/C][C]1.80721966801823e-09[/C][C]9.03609834009116e-10[/C][/ROW]
[ROW][C]128[/C][C]0.999999999143777[/C][C]1.71244614480139e-09[/C][C]8.56223072400695e-10[/C][/ROW]
[ROW][C]129[/C][C]0.999999998671758[/C][C]2.65648445349684e-09[/C][C]1.32824222674842e-09[/C][/ROW]
[ROW][C]130[/C][C]0.999999997787952[/C][C]4.42409633220575e-09[/C][C]2.21204816610288e-09[/C][/ROW]
[ROW][C]131[/C][C]0.999999996656955[/C][C]6.68608915472225e-09[/C][C]3.34304457736113e-09[/C][/ROW]
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[ROW][C]152[/C][C]0.999999810534138[/C][C]3.78931723202128e-07[/C][C]1.89465861601064e-07[/C][/ROW]
[ROW][C]153[/C][C]0.999999837962169[/C][C]3.24075661415132e-07[/C][C]1.62037830707566e-07[/C][/ROW]
[ROW][C]154[/C][C]0.999999995485838[/C][C]9.02832379444869e-09[/C][C]4.51416189722435e-09[/C][/ROW]
[ROW][C]155[/C][C]0.999999996705016[/C][C]6.5899680579034e-09[/C][C]3.2949840289517e-09[/C][/ROW]
[ROW][C]156[/C][C]0.999999994540196[/C][C]1.09196087740437e-08[/C][C]5.45980438702184e-09[/C][/ROW]
[ROW][C]157[/C][C]0.999999997321323[/C][C]5.35735414663477e-09[/C][C]2.67867707331738e-09[/C][/ROW]
[ROW][C]158[/C][C]0.999999998984673[/C][C]2.03065504900926e-09[/C][C]1.01532752450463e-09[/C][/ROW]
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[ROW][C]160[/C][C]0.999999997416136[/C][C]5.1677282225559e-09[/C][C]2.58386411127795e-09[/C][/ROW]
[ROW][C]161[/C][C]0.999999998173016[/C][C]3.65396717488308e-09[/C][C]1.82698358744154e-09[/C][/ROW]
[ROW][C]162[/C][C]0.99999999705635[/C][C]5.88729905775715e-09[/C][C]2.94364952887858e-09[/C][/ROW]
[ROW][C]163[/C][C]0.999999995973515[/C][C]8.05297074172254e-09[/C][C]4.02648537086127e-09[/C][/ROW]
[ROW][C]164[/C][C]0.999999999390004[/C][C]1.21999181845482e-09[/C][C]6.09995909227411e-10[/C][/ROW]
[ROW][C]165[/C][C]0.999999998925558[/C][C]2.14888424860308e-09[/C][C]1.07444212430154e-09[/C][/ROW]
[ROW][C]166[/C][C]0.999999998900836[/C][C]2.19832725283679e-09[/C][C]1.0991636264184e-09[/C][/ROW]
[ROW][C]167[/C][C]0.999999999234008[/C][C]1.53198459149768e-09[/C][C]7.6599229574884e-10[/C][/ROW]
[ROW][C]168[/C][C]0.999999999169975[/C][C]1.66005014985358e-09[/C][C]8.3002507492679e-10[/C][/ROW]
[ROW][C]169[/C][C]0.999999998740927[/C][C]2.51814649662575e-09[/C][C]1.25907324831288e-09[/C][/ROW]
[ROW][C]170[/C][C]0.999999997965925[/C][C]4.06814983035351e-09[/C][C]2.03407491517676e-09[/C][/ROW]
[ROW][C]171[/C][C]0.999999997951452[/C][C]4.09709515928467e-09[/C][C]2.04854757964233e-09[/C][/ROW]
[ROW][C]172[/C][C]0.999999997355486[/C][C]5.28902881733148e-09[/C][C]2.64451440866574e-09[/C][/ROW]
[ROW][C]173[/C][C]0.999999998973892[/C][C]2.05221657739168e-09[/C][C]1.02610828869584e-09[/C][/ROW]
[ROW][C]174[/C][C]0.999999998807292[/C][C]2.38541629596362e-09[/C][C]1.19270814798181e-09[/C][/ROW]
[ROW][C]175[/C][C]0.999999999697217[/C][C]6.0556653306036e-10[/C][C]3.0278326653018e-10[/C][/ROW]
[ROW][C]176[/C][C]0.999999999672033[/C][C]6.55933275963816e-10[/C][C]3.27966637981908e-10[/C][/ROW]
[ROW][C]177[/C][C]0.999999999645214[/C][C]7.09571573952854e-10[/C][C]3.54785786976427e-10[/C][/ROW]
[ROW][C]178[/C][C]0.999999999365495[/C][C]1.26900933040539e-09[/C][C]6.34504665202697e-10[/C][/ROW]
[ROW][C]179[/C][C]0.999999999331053[/C][C]1.33789356294209e-09[/C][C]6.68946781471043e-10[/C][/ROW]
[ROW][C]180[/C][C]0.999999999047496[/C][C]1.90500803543849e-09[/C][C]9.52504017719244e-10[/C][/ROW]
[ROW][C]181[/C][C]0.999999998914251[/C][C]2.17149891581266e-09[/C][C]1.08574945790633e-09[/C][/ROW]
[ROW][C]182[/C][C]0.999999998485054[/C][C]3.02989099573379e-09[/C][C]1.51494549786689e-09[/C][/ROW]
[ROW][C]183[/C][C]0.99999999735792[/C][C]5.28416043412626e-09[/C][C]2.64208021706313e-09[/C][/ROW]
[ROW][C]184[/C][C]0.999999995421426[/C][C]9.15714840126889e-09[/C][C]4.57857420063445e-09[/C][/ROW]
[ROW][C]185[/C][C]0.999999996077248[/C][C]7.84550452042582e-09[/C][C]3.92275226021291e-09[/C][/ROW]
[ROW][C]186[/C][C]0.999999993355405[/C][C]1.32891906057908e-08[/C][C]6.64459530289541e-09[/C][/ROW]
[ROW][C]187[/C][C]0.999999992721684[/C][C]1.45566309254479e-08[/C][C]7.27831546272394e-09[/C][/ROW]
[ROW][C]188[/C][C]0.999999987918019[/C][C]2.41639616677939e-08[/C][C]1.2081980833897e-08[/C][/ROW]
[ROW][C]189[/C][C]0.99999998839242[/C][C]2.32151601262231e-08[/C][C]1.16075800631115e-08[/C][/ROW]
[ROW][C]190[/C][C]0.999999982288643[/C][C]3.54227150846175e-08[/C][C]1.77113575423088e-08[/C][/ROW]
[ROW][C]191[/C][C]0.999999970453586[/C][C]5.90928275648581e-08[/C][C]2.9546413782429e-08[/C][/ROW]
[ROW][C]192[/C][C]0.999999976978663[/C][C]4.60426743201479e-08[/C][C]2.30213371600739e-08[/C][/ROW]
[ROW][C]193[/C][C]0.99999996235805[/C][C]7.52838998500861e-08[/C][C]3.7641949925043e-08[/C][/ROW]
[ROW][C]194[/C][C]0.999999946136884[/C][C]1.07726231057771e-07[/C][C]5.38631155288854e-08[/C][/ROW]
[ROW][C]195[/C][C]0.999999963242013[/C][C]7.35159746719638e-08[/C][C]3.67579873359819e-08[/C][/ROW]
[ROW][C]196[/C][C]0.999999937414661[/C][C]1.25170678464981e-07[/C][C]6.25853392324906e-08[/C][/ROW]
[ROW][C]197[/C][C]0.999999922804822[/C][C]1.54390356982687e-07[/C][C]7.71951784913437e-08[/C][/ROW]
[ROW][C]198[/C][C]0.999999914027467[/C][C]1.71945065480104e-07[/C][C]8.59725327400518e-08[/C][/ROW]
[ROW][C]199[/C][C]0.999999896864951[/C][C]2.0627009752101e-07[/C][C]1.03135048760505e-07[/C][/ROW]
[ROW][C]200[/C][C]0.999999859140009[/C][C]2.81719981426985e-07[/C][C]1.40859990713493e-07[/C][/ROW]
[ROW][C]201[/C][C]0.999999773534975[/C][C]4.52930049140525e-07[/C][C]2.26465024570263e-07[/C][/ROW]
[ROW][C]202[/C][C]0.999999613534185[/C][C]7.72931630182477e-07[/C][C]3.86465815091239e-07[/C][/ROW]
[ROW][C]203[/C][C]0.999999392385679[/C][C]1.21522864168102e-06[/C][C]6.07614320840512e-07[/C][/ROW]
[ROW][C]204[/C][C]0.999999020483296[/C][C]1.95903340875693e-06[/C][C]9.79516704378463e-07[/C][/ROW]
[ROW][C]205[/C][C]0.99999881851334[/C][C]2.36297332029875e-06[/C][C]1.18148666014937e-06[/C][/ROW]
[ROW][C]206[/C][C]0.99999802645499[/C][C]3.94709001931621e-06[/C][C]1.97354500965811e-06[/C][/ROW]
[ROW][C]207[/C][C]0.999998549632975[/C][C]2.9007340493417e-06[/C][C]1.45036702467085e-06[/C][/ROW]
[ROW][C]208[/C][C]0.999998855411763[/C][C]2.2891764731513e-06[/C][C]1.14458823657565e-06[/C][/ROW]
[ROW][C]209[/C][C]0.999998128251855[/C][C]3.74349629024334e-06[/C][C]1.87174814512167e-06[/C][/ROW]
[ROW][C]210[/C][C]0.999997404838464[/C][C]5.1903230724204e-06[/C][C]2.5951615362102e-06[/C][/ROW]
[ROW][C]211[/C][C]0.999996297177558[/C][C]7.40564488474251e-06[/C][C]3.70282244237126e-06[/C][/ROW]
[ROW][C]212[/C][C]0.999997455491075[/C][C]5.0890178502599e-06[/C][C]2.54450892512995e-06[/C][/ROW]
[ROW][C]213[/C][C]0.999996066915647[/C][C]7.86616870669274e-06[/C][C]3.93308435334637e-06[/C][/ROW]
[ROW][C]214[/C][C]0.999994093357177[/C][C]1.18132856451862e-05[/C][C]5.9066428225931e-06[/C][/ROW]
[ROW][C]215[/C][C]0.999990707387188[/C][C]1.85852256247726e-05[/C][C]9.29261281238629e-06[/C][/ROW]
[ROW][C]216[/C][C]0.999985052209345[/C][C]2.98955813106337e-05[/C][C]1.49477906553169e-05[/C][/ROW]
[ROW][C]217[/C][C]0.999976422749226[/C][C]4.71545015483447e-05[/C][C]2.35772507741724e-05[/C][/ROW]
[ROW][C]218[/C][C]0.999969262081394[/C][C]6.147583721099e-05[/C][C]3.0737918605495e-05[/C][/ROW]
[ROW][C]219[/C][C]0.999955646946505[/C][C]8.8706106990411e-05[/C][C]4.43530534952055e-05[/C][/ROW]
[ROW][C]220[/C][C]0.999933462474233[/C][C]0.000133075051534008[/C][C]6.6537525767004e-05[/C][/ROW]
[ROW][C]221[/C][C]0.999895327188574[/C][C]0.000209345622852404[/C][C]0.000104672811426202[/C][/ROW]
[ROW][C]222[/C][C]0.999985514107137[/C][C]2.8971785726617e-05[/C][C]1.44858928633085e-05[/C][/ROW]
[ROW][C]223[/C][C]0.999987020902986[/C][C]2.59581940281697e-05[/C][C]1.29790970140848e-05[/C][/ROW]
[ROW][C]224[/C][C]0.999978367326697[/C][C]4.32653466051538e-05[/C][C]2.16326733025769e-05[/C][/ROW]
[ROW][C]225[/C][C]0.999970350815951[/C][C]5.92983680990004e-05[/C][C]2.96491840495002e-05[/C][/ROW]
[ROW][C]226[/C][C]0.99995652535658[/C][C]8.69492868397368e-05[/C][C]4.34746434198684e-05[/C][/ROW]
[ROW][C]227[/C][C]0.999932365374484[/C][C]0.000135269251031493[/C][C]6.76346255157464e-05[/C][/ROW]
[ROW][C]228[/C][C]0.999945038254779[/C][C]0.000109923490441699[/C][C]5.49617452208497e-05[/C][/ROW]
[ROW][C]229[/C][C]0.999951888714956[/C][C]9.62225700876091e-05[/C][C]4.81112850438045e-05[/C][/ROW]
[ROW][C]230[/C][C]0.999975460187781[/C][C]4.90796244380133e-05[/C][C]2.45398122190066e-05[/C][/ROW]
[ROW][C]231[/C][C]0.999969096479926[/C][C]6.18070401474906e-05[/C][C]3.09035200737453e-05[/C][/ROW]
[ROW][C]232[/C][C]0.99997651883733[/C][C]4.69623253400367e-05[/C][C]2.34811626700183e-05[/C][/ROW]
[ROW][C]233[/C][C]0.999978627306209[/C][C]4.27453875817742e-05[/C][C]2.13726937908871e-05[/C][/ROW]
[ROW][C]234[/C][C]0.999962701114216[/C][C]7.45977715682766e-05[/C][C]3.72988857841383e-05[/C][/ROW]
[ROW][C]235[/C][C]0.999963094520337[/C][C]7.38109593256363e-05[/C][C]3.69054796628182e-05[/C][/ROW]
[ROW][C]236[/C][C]0.999937271807444[/C][C]0.000125456385111715[/C][C]6.27281925558575e-05[/C][/ROW]
[ROW][C]237[/C][C]0.999928317446722[/C][C]0.00014336510655681[/C][C]7.1682553278405e-05[/C][/ROW]
[ROW][C]238[/C][C]0.999904346740396[/C][C]0.000191306519207844[/C][C]9.56532596039218e-05[/C][/ROW]
[ROW][C]239[/C][C]0.999853667253698[/C][C]0.000292665492604379[/C][C]0.00014633274630219[/C][/ROW]
[ROW][C]240[/C][C]0.99980247240116[/C][C]0.000395055197679647[/C][C]0.000197527598839824[/C][/ROW]
[ROW][C]241[/C][C]0.999669182945724[/C][C]0.000661634108552612[/C][C]0.000330817054276306[/C][/ROW]
[ROW][C]242[/C][C]0.999997114853893[/C][C]5.77029221328514e-06[/C][C]2.88514610664257e-06[/C][/ROW]
[ROW][C]243[/C][C]0.99999419519778[/C][C]1.16096044395477e-05[/C][C]5.80480221977387e-06[/C][/ROW]
[ROW][C]244[/C][C]0.999989102802502[/C][C]2.17943949960326e-05[/C][C]1.08971974980163e-05[/C][/ROW]
[ROW][C]245[/C][C]0.999979607576096[/C][C]4.0784847807242e-05[/C][C]2.0392423903621e-05[/C][/ROW]
[ROW][C]246[/C][C]0.99996657922824[/C][C]6.68415435202621e-05[/C][C]3.34207717601311e-05[/C][/ROW]
[ROW][C]247[/C][C]0.999996340291684[/C][C]7.31941663126463e-06[/C][C]3.65970831563231e-06[/C][/ROW]
[ROW][C]248[/C][C]0.999992393277045[/C][C]1.52134459096391e-05[/C][C]7.60672295481956e-06[/C][/ROW]
[ROW][C]249[/C][C]0.999986927030877[/C][C]2.61459382454332e-05[/C][C]1.30729691227166e-05[/C][/ROW]
[ROW][C]250[/C][C]0.999977021406492[/C][C]4.5957187016832e-05[/C][C]2.2978593508416e-05[/C][/ROW]
[ROW][C]251[/C][C]0.99996555989488[/C][C]6.88802102407543e-05[/C][C]3.44401051203772e-05[/C][/ROW]
[ROW][C]252[/C][C]0.999931601567749[/C][C]0.000136796864502278[/C][C]6.8398432251139e-05[/C][/ROW]
[ROW][C]253[/C][C]0.999868114874034[/C][C]0.000263770251931602[/C][C]0.000131885125965801[/C][/ROW]
[ROW][C]254[/C][C]0.999756947437934[/C][C]0.000486105124131241[/C][C]0.00024305256206562[/C][/ROW]
[ROW][C]255[/C][C]0.999532154625123[/C][C]0.000935690749753536[/C][C]0.000467845374876768[/C][/ROW]
[ROW][C]256[/C][C]0.999299692757409[/C][C]0.00140061448518248[/C][C]0.000700307242591241[/C][/ROW]
[ROW][C]257[/C][C]0.99867736815875[/C][C]0.00264526368250104[/C][C]0.00132263184125052[/C][/ROW]
[ROW][C]258[/C][C]0.998406160794324[/C][C]0.00318767841135298[/C][C]0.00159383920567649[/C][/ROW]
[ROW][C]259[/C][C]0.997089389173019[/C][C]0.00582122165396214[/C][C]0.00291061082698107[/C][/ROW]
[ROW][C]260[/C][C]0.994876582587151[/C][C]0.0102468348256973[/C][C]0.00512341741284867[/C][/ROW]
[ROW][C]261[/C][C]0.996923388537219[/C][C]0.00615322292556307[/C][C]0.00307661146278153[/C][/ROW]
[ROW][C]262[/C][C]0.995413892596757[/C][C]0.00917221480648687[/C][C]0.00458610740324344[/C][/ROW]
[ROW][C]263[/C][C]0.992364773388757[/C][C]0.0152704532224866[/C][C]0.00763522661124332[/C][/ROW]
[ROW][C]264[/C][C]0.987567738401948[/C][C]0.0248645231961036[/C][C]0.0124322615980518[/C][/ROW]
[ROW][C]265[/C][C]0.978094579672011[/C][C]0.0438108406559785[/C][C]0.0219054203279892[/C][/ROW]
[ROW][C]266[/C][C]0.965283810272512[/C][C]0.0694323794549762[/C][C]0.0347161897274881[/C][/ROW]
[ROW][C]267[/C][C]0.946254563528303[/C][C]0.107490872943393[/C][C]0.0537454364716967[/C][/ROW]
[ROW][C]268[/C][C]0.96568255214624[/C][C]0.0686348957075196[/C][C]0.0343174478537598[/C][/ROW]
[ROW][C]269[/C][C]0.950871841779539[/C][C]0.0982563164409216[/C][C]0.0491281582204608[/C][/ROW]
[ROW][C]270[/C][C]0.983137246111196[/C][C]0.033725507777608[/C][C]0.016862753888804[/C][/ROW]
[ROW][C]271[/C][C]0.966088199881971[/C][C]0.0678236002360589[/C][C]0.0339118001180295[/C][/ROW]
[ROW][C]272[/C][C]0.93197669628313[/C][C]0.13604660743374[/C][C]0.0680233037168698[/C][/ROW]
[ROW][C]273[/C][C]0.889188280210581[/C][C]0.221623439578838[/C][C]0.110811719789419[/C][/ROW]
[ROW][C]274[/C][C]0.801267624048163[/C][C]0.397464751903674[/C][C]0.198732375951837[/C][/ROW]
[ROW][C]275[/C][C]0.654044272871917[/C][C]0.691911454256166[/C][C]0.345955727128083[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=199440&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=199440&T=5

As an alternative you can also use a QR Code:  
QR Code


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
140.1104965702548350.2209931405096710.889503429745165
150.1410375407193290.2820750814386570.858962459280671
160.1273157164688790.2546314329377570.872684283531121
170.3677742742980850.7355485485961710.632225725701915
180.5599303046752670.8801393906494660.440069695324733
190.5323271529573490.9353456940853030.467672847042651
200.5487420889717320.9025158220565370.451257911028268
210.5366050570396880.9267898859206250.463394942960312
220.4510290648568480.9020581297136960.548970935143152
230.408713621913340.8174272438266790.59128637808666
240.3277835196221070.6555670392442150.672216480377893
250.3142442630099420.6284885260198850.685755736990058
260.2585126729606470.5170253459212930.741487327039353
270.2693457732961150.538691546592230.730654226703885
280.2830831050737030.5661662101474060.716916894926297
290.2712327489383780.5424654978767560.728767251061622
300.2200424432452040.4400848864904090.779957556754796
310.3306788626955960.6613577253911920.669321137304404
320.2998764743948090.5997529487896190.700123525605191
330.2927649235805840.5855298471611670.707235076419416
340.3109951047982250.6219902095964510.689004895201775
350.2854917777681230.5709835555362450.714508222231877
360.2459534896258690.4919069792517380.754046510374131
370.2170616622742140.4341233245484270.782938337725786
380.2154931780706280.4309863561412570.784506821929372
390.2837171777806960.5674343555613920.716282822219304
400.239697740341860.4793954806837190.76030225965814
410.2013530876681450.402706175336290.798646912331855
420.1815025453719570.3630050907439140.818497454628043
430.3337543430313250.667508686062650.666245656968675
440.38515277717980.7703055543595990.6148472228202
450.3836515826064530.7673031652129070.616348417393547
460.3927238297070210.7854476594140430.607276170292979
470.5673488277360590.8653023445278820.432651172263941
480.5220932406662420.9558135186675170.477906759333758
490.4837602220449140.9675204440898280.516239777955086
500.5091440410855940.9817119178288120.490855958914406
510.7283220641324910.5433558717350170.271677935867509
520.6932609815047850.6134780369904310.306739018495215
530.6755116681607130.6489766636785730.324488331839287
540.8808639606550710.2382720786898580.119136039344929
550.9006628365862570.1986743268274850.0993371634137426
560.8857197582505750.228560483498850.114280241749425
570.8684847436110790.2630305127778410.131515256388921
580.8639698401583560.2720603196832880.136030159841644
590.8389280941203110.3221438117593790.161071905879689
600.8138527072534960.3722945854930070.186147292746504
610.7951523989968190.4096952020063630.204847601003181
620.8811365422954890.2377269154090210.118863457704511
630.9999999999006661.98668334532439e-109.93341672662193e-11
640.9999999998144423.71115429096159e-101.85557714548079e-10
650.9999999999036621.92675594816328e-109.6337797408164e-11
660.999999999935641.28719948663994e-106.4359974331997e-11
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750.999999999968146.37192796080287e-113.18596398040143e-11
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800.9999999998370253.25949309265455e-101.62974654632728e-10
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840.9999999999946481.07037982714108e-115.35189913570542e-12
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1600.9999999974161365.1677282225559e-092.58386411127795e-09
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1640.9999999993900041.21999181845482e-096.09995909227411e-10
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1670.9999999992340081.53198459149768e-097.6599229574884e-10
1680.9999999991699751.66005014985358e-098.3002507492679e-10
1690.9999999987409272.51814649662575e-091.25907324831288e-09
1700.9999999979659254.06814983035351e-092.03407491517676e-09
1710.9999999979514524.09709515928467e-092.04854757964233e-09
1720.9999999973554865.28902881733148e-092.64451440866574e-09
1730.9999999989738922.05221657739168e-091.02610828869584e-09
1740.9999999988072922.38541629596362e-091.19270814798181e-09
1750.9999999996972176.0556653306036e-103.0278326653018e-10
1760.9999999996720336.55933275963816e-103.27966637981908e-10
1770.9999999996452147.09571573952854e-103.54785786976427e-10
1780.9999999993654951.26900933040539e-096.34504665202697e-10
1790.9999999993310531.33789356294209e-096.68946781471043e-10
1800.9999999990474961.90500803543849e-099.52504017719244e-10
1810.9999999989142512.17149891581266e-091.08574945790633e-09
1820.9999999984850543.02989099573379e-091.51494549786689e-09
1830.999999997357925.28416043412626e-092.64208021706313e-09
1840.9999999954214269.15714840126889e-094.57857420063445e-09
1850.9999999960772487.84550452042582e-093.92275226021291e-09
1860.9999999933554051.32891906057908e-086.64459530289541e-09
1870.9999999927216841.45566309254479e-087.27831546272394e-09
1880.9999999879180192.41639616677939e-081.2081980833897e-08
1890.999999988392422.32151601262231e-081.16075800631115e-08
1900.9999999822886433.54227150846175e-081.77113575423088e-08
1910.9999999704535865.90928275648581e-082.9546413782429e-08
1920.9999999769786634.60426743201479e-082.30213371600739e-08
1930.999999962358057.52838998500861e-083.7641949925043e-08
1940.9999999461368841.07726231057771e-075.38631155288854e-08
1950.9999999632420137.35159746719638e-083.67579873359819e-08
1960.9999999374146611.25170678464981e-076.25853392324906e-08
1970.9999999228048221.54390356982687e-077.71951784913437e-08
1980.9999999140274671.71945065480104e-078.59725327400518e-08
1990.9999998968649512.0627009752101e-071.03135048760505e-07
2000.9999998591400092.81719981426985e-071.40859990713493e-07
2010.9999997735349754.52930049140525e-072.26465024570263e-07
2020.9999996135341857.72931630182477e-073.86465815091239e-07
2030.9999993923856791.21522864168102e-066.07614320840512e-07
2040.9999990204832961.95903340875693e-069.79516704378463e-07
2050.999998818513342.36297332029875e-061.18148666014937e-06
2060.999998026454993.94709001931621e-061.97354500965811e-06
2070.9999985496329752.9007340493417e-061.45036702467085e-06
2080.9999988554117632.2891764731513e-061.14458823657565e-06
2090.9999981282518553.74349629024334e-061.87174814512167e-06
2100.9999974048384645.1903230724204e-062.5951615362102e-06
2110.9999962971775587.40564488474251e-063.70282244237126e-06
2120.9999974554910755.0890178502599e-062.54450892512995e-06
2130.9999960669156477.86616870669274e-063.93308435334637e-06
2140.9999940933571771.18132856451862e-055.9066428225931e-06
2150.9999907073871881.85852256247726e-059.29261281238629e-06
2160.9999850522093452.98955813106337e-051.49477906553169e-05
2170.9999764227492264.71545015483447e-052.35772507741724e-05
2180.9999692620813946.147583721099e-053.0737918605495e-05
2190.9999556469465058.8706106990411e-054.43530534952055e-05
2200.9999334624742330.0001330750515340086.6537525767004e-05
2210.9998953271885740.0002093456228524040.000104672811426202
2220.9999855141071372.8971785726617e-051.44858928633085e-05
2230.9999870209029862.59581940281697e-051.29790970140848e-05
2240.9999783673266974.32653466051538e-052.16326733025769e-05
2250.9999703508159515.92983680990004e-052.96491840495002e-05
2260.999956525356588.69492868397368e-054.34746434198684e-05
2270.9999323653744840.0001352692510314936.76346255157464e-05
2280.9999450382547790.0001099234904416995.49617452208497e-05
2290.9999518887149569.62225700876091e-054.81112850438045e-05
2300.9999754601877814.90796244380133e-052.45398122190066e-05
2310.9999690964799266.18070401474906e-053.09035200737453e-05
2320.999976518837334.69623253400367e-052.34811626700183e-05
2330.9999786273062094.27453875817742e-052.13726937908871e-05
2340.9999627011142167.45977715682766e-053.72988857841383e-05
2350.9999630945203377.38109593256363e-053.69054796628182e-05
2360.9999372718074440.0001254563851117156.27281925558575e-05
2370.9999283174467220.000143365106556817.1682553278405e-05
2380.9999043467403960.0001913065192078449.56532596039218e-05
2390.9998536672536980.0002926654926043790.00014633274630219
2400.999802472401160.0003950551976796470.000197527598839824
2410.9996691829457240.0006616341085526120.000330817054276306
2420.9999971148538935.77029221328514e-062.88514610664257e-06
2430.999994195197781.16096044395477e-055.80480221977387e-06
2440.9999891028025022.17943949960326e-051.08971974980163e-05
2450.9999796075760964.0784847807242e-052.0392423903621e-05
2460.999966579228246.68415435202621e-053.34207717601311e-05
2470.9999963402916847.31941663126463e-063.65970831563231e-06
2480.9999923932770451.52134459096391e-057.60672295481956e-06
2490.9999869270308772.61459382454332e-051.30729691227166e-05
2500.9999770214064924.5957187016832e-052.2978593508416e-05
2510.999965559894886.88802102407543e-053.44401051203772e-05
2520.9999316015677490.0001367968645022786.8398432251139e-05
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Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1990.759541984732824NOK
5% type I error level2040.778625954198473NOK
10% type I error level2080.793893129770992NOK

\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 & 199 & 0.759541984732824 & NOK \tabularnewline
5% type I error level & 204 & 0.778625954198473 & NOK \tabularnewline
10% type I error level & 208 & 0.793893129770992 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=199440&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]199[/C][C]0.759541984732824[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]204[/C][C]0.778625954198473[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]208[/C][C]0.793893129770992[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=199440&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=199440&T=6

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1990.759541984732824NOK
5% type I error level2040.778625954198473NOK
10% type I error level2080.793893129770992NOK


Figures (Output of Computation)

Figure 1
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Figure 7
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Figure 9
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Figure 10
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Input Parameters & R Code

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