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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 computationMon, 17 Dec 2012 10:24:19 -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/17/t13557581367t64rtg8iwmhify.htm/, Retrieved Tue, 23 Apr 2024 07:01:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=201010, Retrieved Tue, 23 Apr 2024 07:01:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact80

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Two-Way ANOVA] [] [2010-11-02 14:42:14] [b98453cac15ba1066b407e146608df68]
- RMPD    [Multiple Regression] [] [2012-12-17 15:24:19] [84239eaa0322a9ca7457d355f1a51cc2] [Current]
- RMP       [Simple Linear Regression] [] [2012-12-21 17:27:36] [887fa8b28255337447ca2249cc73e1d0]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1418	210907	56	396	81	3	79	30	115
869	120982	56	297	55	4	58	28	109
1530	176508	54	559	50	12	60	38	146
2172	179321	89	967	125	2	108	30	116
901	123185	40	270	40	1	49	22	68
463	52746	25	143	37	3	0	26	101
3201	385534	92	1562	63	0	121	25	96
371	33170	18	109	44	0	1	18	67
1192	101645	63	371	88	0	20	11	44
1583	149061	44	656	66	5	43	26	100
1439	165446	33	511	57	0	69	25	93
1764	237213	84	655	74	0	78	38	140
1495	173326	88	465	49	7	86	44	166
1373	133131	55	525	52	7	44	30	99
2187	258873	60	885	88	3	104	40	139
1491	180083	66	497	36	9	63	34	130
4041	324799	154	1436	108	0	158	47	181
1706	230964	53	612	43	4	102	30	116
2152	236785	119	865	75	3	77	31	116
1036	135473	41	385	32	0	82	23	88
1882	202925	61	567	44	7	115	36	139
1929	215147	58	639	85	0	101	36	135
2242	344297	75	963	86	1	80	30	108
1220	153935	33	398	56	5	50	25	89
1289	132943	40	410	50	7	83	39	156
2515	174724	92	966	135	0	123	34	129
2147	174415	100	801	63	0	73	31	118
2352	225548	112	892	81	5	81	31	118
1638	223632	73	513	52	0	105	33	125
1222	124817	40	469	44	0	47	25	95
1812	221698	45	683	113	0	105	33	126
1677	210767	60	643	39	3	94	35	135
1579	170266	62	535	73	4	44	42	154
1731	260561	75	625	48	1	114	43	165
807	84853	31	264	33	4	38	30	113
2452	294424	77	992	59	2	107	33	127
829	101011	34	238	41	0	30	13	52
1940	215641	46	818	69	0	71	32	121
2662	325107	99	937	64	0	84	36	136
186	7176	17	70	1	0	0	0	0
1499	167542	66	507	59	2	59	28	108
865	106408	30	260	32	1	33	14	46
1793	96560	76	503	129	0	42	17	54
2527	265769	146	927	37	2	96	32	124
2747	269651	67	1269	31	10	106	30	115
1324	149112	56	537	65	6	56	35	128
2702	175824	107	910	107	0	57	20	80
1383	152871	58	532	74	5	59	28	97
1179	111665	34	345	54	4	39	28	104
2099	116408	61	918	76	1	34	39	59
4308	362301	119	1635	715	2	76	34	125
918	78800	42	330	57	2	20	26	82
1831	183167	66	557	66	0	91	39	149
3373	277965	89	1178	106	8	115	39	149
1713	150629	44	740	54	3	85	33	122
1438	168809	66	452	32	0	76	28	118
496	24188	24	218	20	0	8	4	12
2253	329267	259	764	71	8	79	39	144
744	65029	17	255	21	5	21	18	67
1161	101097	64	454	70	3	30	14	52
2352	218946	41	866	112	1	76	29	108
2144	244052	68	574	66	5	101	44	166
4691	341570	168	1276	190	1	94	21	80
1112	103597	43	379	66	1	27	16	60
2694	233328	132	825	165	5	92	28	107
1973	256462	105	798	56	0	123	35	127
1769	206161	71	663	61	12	75	28	107
3148	311473	112	1069	53	8	128	38	146
2474	235800	94	921	127	8	105	23	84
2084	177939	82	858	63	8	55	36	141
1954	207176	70	711	38	8	56	32	123
1226	196553	57	503	50	2	41	29	111
1389	174184	53	382	52	0	72	25	98
1496	143246	103	464	42	5	67	27	105
2269	187559	121	717	76	8	75	36	135
1833	187681	62	690	67	2	114	28	107
1268	119016	52	462	50	5	118	23	85
1943	182192	52	657	53	12	77	40	155
893	73566	32	385	39	6	22	23	88
1762	194979	62	577	50	7	66	40	155
1403	167488	45	619	77	2	69	28	104
1425	143756	46	479	57	0	105	34	132
1857	275541	63	817	73	4	116	33	127
1840	243199	75	752	34	3	88	28	108
1502	182999	88	430	39	6	73	34	129
1441	135649	46	451	46	2	99	30	116
1420	152299	53	537	63	0	62	33	122
1416	120221	37	519	35	1	53	22	85
2970	346485	90	1000	106	0	118	38	147
1317	145790	63	637	43	5	30	26	99
1644	193339	78	465	47	2	100	35	87
870	80953	25	437	31	0	49	8	28
1654	122774	45	711	162	0	24	24	90
1054	130585	46	299	57	5	67	29	109
937	112611	41	248	36	0	46	20	78
3004	286468	144	1162	263	1	57	29	111
2008	241066	82	714	78	0	75	45	158
2547	148446	91	905	63	1	135	37	141
1885	204713	71	649	54	1	68	33	122
1626	182079	63	512	63	2	124	33	124
1468	140344	53	472	77	6	33	25	93
2445	220516	62	905	79	1	98	32	124
1964	243060	63	786	110	4	58	29	112
1381	162765	32	489	56	2	68	28	108
1369	182613	39	479	56	3	81	28	99
1659	232138	62	617	43	0	131	31	117
2888	265318	117	925	111	10	110	52	199
1290	85574	34	351	71	0	37	21	78
2845	310839	92	1144	62	9	130	24	91
1982	225060	93	669	56	7	93	41	158
1904	232317	54	707	74	0	118	33	126
1391	144966	144	458	60	0	39	32	122
602	43287	14	214	43	4	13	19	71
1743	155754	61	599	68	4	74	20	75
1559	164709	109	572	53	0	81	31	115
2014	201940	38	897	87	0	109	31	119
2143	235454	73	819	46	0	151	32	124
2146	220801	75	720	105	1	51	18	72
874	99466	50	273	32	0	28	23	91
1590	92661	61	508	133	1	40	17	45
1590	133328	55	506	79	0	56	20	78
1210	61361	77	451	51	0	27	12	39
2072	125930	75	699	207	4	37	17	68
1281	100750	72	407	67	0	83	30	119
1401	224549	50	465	47	4	54	31	117
834	82316	32	245	34	4	27	10	39
1105	102010	53	370	66	3	28	13	50
1272	101523	42	316	76	0	59	22	88
1944	243511	71	603	65	0	133	42	155
391	22938	10	154	9	0	12	1	0
761	41566	35	229	42	5	0	9	36
1605	152474	65	577	45	0	106	32	123
530	61857	25	192	25	4	23	11	32
1988	99923	66	617	115	0	44	25	99
1386	132487	41	411	97	0	71	36	136
2395	317394	86	975	53	1	116	31	117
387	21054	16	146	2	0	4	0	0
1742	209641	42	705	52	5	62	24	88
620	22648	19	184	44	0	12	13	39
449	31414	19	200	22	0	18	8	25
800	46698	45	274	35	0	14	13	52
1684	131698	65	502	74	0	60	19	75
1050	91735	35	382	103	0	7	18	71
2699	244749	95	964	144	2	98	33	124
1606	184510	49	537	60	7	64	40	151
1502	79863	37	438	134	1	29	22	71
1204	128423	64	369	89	8	32	38	145
1138	97839	38	417	42	2	25	24	87
568	38214	34	276	52	0	16	8	27
1459	151101	32	514	98	2	48	35	131
2158	272458	65	822	99	0	100	43	162
1111	172494	52	389	52	0	46	43	165
1421	108043	62	466	29	1	45	14	54
2833	328107	65	1255	125	3	129	41	159
1955	250579	83	694	106	0	130	38	147
2922	351067	95	1024	95	3	136	45	170
1002	158015	29	400	40	0	59	31	119
1060	98866	18	397	140	0	25	13	49
956	85439	33	350	43	0	32	28	104
2186	229242	247	719	128	4	63	31	120
3604	351619	139	1277	142	4	95	40	150
1035	84207	29	356	73	11	14	30	112
1417	120445	118	457	72	0	36	16	59
3261	324598	110	1402	128	0	113	37	136
1587	131069	67	600	61	4	47	30	107
1424	204271	42	480	73	0	92	35	130
1701	165543	65	595	148	1	70	32	115
1249	141722	94	436	64	0	19	27	107
946	116048	64	230	45	0	50	20	75
1926	250047	81	651	58	0	41	18	71
3352	299775	95	1367	97	9	91	31	120
1641	195838	67	564	50	1	111	31	116
2035	173260	63	716	37	3	41	21	79
2312	254488	83	747	50	10	120	39	150
1369	104389	45	467	105	5	135	41	156
1577	136084	30	671	69	0	27	13	51
2201	199476	70	861	46	2	87	32	118
961	92499	32	319	57	0	25	18	71
1900	224330	83	612	52	1	131	39	144
1254	135781	31	433	98	2	45	14	47
1335	74408	67	434	61	4	29	7	28
1597	81240	66	503	89	0	58	17	68
207	14688	10	85	0	0	4	0	0
1645	181633	70	564	48	2	47	30	110
2429	271856	103	824	91	1	109	37	147
151	7199	5	74	0	0	7	0	0
474	46660	20	259	7	0	12	5	15
141	17547	5	69	3	0	0	1	4
1639	133368	36	535	54	1	37	16	64
872	95227	34	239	70	0	37	32	111
1318	152601	48	438	36	2	46	24	85
1018	98146	40	459	37	0	15	17	68
1383	79619	43	426	123	3	42	11	40
1314	59194	31	288	247	6	7	24	80
1335	139942	42	498	46	0	54	22	88
1403	118612	46	454	72	2	54	12	48
910	72880	33	376	41	0	14	19	76
616	65475	18	225	24	2	16	13	51
1407	99643	55	555	45	1	33	17	67
771	71965	35	252	33	1	32	15	59
766	77272	59	208	27	2	21	16	61
473	49289	19	130	36	1	15	24	76
1376	135131	66	481	87	0	38	15	60
1232	108446	60	389	90	1	22	17	68
1521	89746	36	565	114	3	28	18	71
572	44296	25	173	31	0	10	20	76
1059	77648	47	278	45	0	31	16	62
1544	181528	54	609	69	0	32	16	61
1230	134019	53	422	51	0	32	18	67
1206	124064	40	445	34	1	43	22	88
1205	92630	40	387	60	4	27	8	30
1255	121848	39	339	45	0	37	17	64
613	52915	14	181	54	0	20	18	68
721	81872	45	245	25	0	32	16	64
1109	58981	36	384	38	7	0	23	91
740	53515	28	212	52	2	5	22	88
1126	60812	44	399	67	0	26	13	52
728	56375	30	229	74	7	10	13	49
689	65490	22	224	38	3	27	16	62
592	80949	17	203	30	0	11	16	61
995	76302	31	333	26	0	29	20	76
1613	104011	55	384	67	6	25	22	88
2048	98104	54	636	132	2	55	17	66
705	67989	21	185	42	0	23	18	71
301	30989	14	93	35	0	5	17	68
1803	135458	81	581	118	3	43	12	48
799	73504	35	248	68	0	23	7	25
861	63123	43	304	43	1	34	17	68
1186	61254	46	344	76	1	36	14	41
1451	74914	30	407	64	0	35	23	90
628	31774	23	170	48	1	0	17	66
1161	81437	38	312	64	0	37	14	54
1463	87186	54	507	56	0	28	15	59
742	50090	20	224	71	0	16	17	60
979	65745	53	340	75	0	26	21	77
675	56653	45	168	39	0	38	18	68
1241	158399	39	443	42	0	23	18	72
676	46455	20	204	39	0	22	17	67
1049	73624	24	367	93	0	30	17	64
620	38395	31	210	38	0	16	16	63
1081	91899	35	335	60	0	18	15	59
1688	139526	151	364	71	0	28	21	84
736	52164	52	178	52	0	32	16	64
617	51567	30	206	27	2	21	14	56
812	70551	31	279	59	0	23	15	54
1051	84856	29	387	40	1	29	17	67
1656	102538	57	490	79	1	50	15	58
705	86678	40	238	44	0	12	15	59
945	85709	44	343	65	0	21	10	40
554	34662	25	232	10	0	18	6	22
1597	150580	77	530	124	0	27	22	83
982	99611	35	291	81	0	41	21	81
222	19349	11	67	15	0	13	1	2
1212	99373	63	397	92	1	12	18	72
1143	86230	44	467	42	0	21	17	61
435	30837	19	178	10	0	8	4	15
532	31706	13	175	24	0	26	10	32
882	89806	42	299	64	0	27	16	62
608	62088	38	154	45	1	13	16	58
459	40151	29	106	22	0	16	9	36
578	27634	20	189	56	0	2	16	59
826	76990	27	194	94	0	42	17	68
509	37460	20	135	19	0	5	7	21
717	54157	19	201	35	0	37	15	55
637	49862	37	207	32	0	17	14	54
857	84337	26	280	35	0	38	14	55
830	64175	42	260	48	0	37	18	72
652	59382	49	227	49	0	29	12	41
707	119308	30	239	48	0	32	16	61
954	76702	49	333	62	0	35	21	67
1461	103425	67	428	96	1	17	19	76
672	70344	28	230	45	0	20	16	64
778	43410	19	292	63	0	7	1	3
1141	104838	49	350	71	1	46	16	63
680	62215	27	186	26	0	24	10	40
1090	69304	30	326	48	6	40	19	69
616	53117	22	155	29	3	3	12	48
285	19764	12	75	19	1	10	2	8
1145	86680	31	361	45	2	37	14	52
733	84105	20	261	45	0	17	17	66
888	77945	20	299	67	0	28	19	76
849	89113	39	300	30	0	19	14	43
1182	91005	29	450	36	3	29	11	39
528	40248	16	183	34	1	8	4	14
642	64187	27	238	36	0	10	16	61
947	50857	21	165	34	0	15	20	71
819	56613	19	234	37	1	15	12	44
757	62792	35	176	46	0	28	15	60
894	72535	14	329	44	0	17	16	64

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time15 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 15 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201010&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]15 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201010&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201010&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 time15 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net






Multiple Linear Regression - Estimated Regression Equation
pageviews[t] = + 96.3523151080559 + 0.000402467704423585time_in_rfc[t] + 3.26057521327791logins[t] + 1.7549834189898compendium_views_info[t] + 1.53061445958573compendium_views_pr[t] + 5.82906472125487shared_compendiums[t] + 1.76823180244309blogged_computations[t] -4.52910219375143compendiums_reviewed[t] + 1.3585625050379feedback_messages_p1[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
pageviews[t] =  +  96.3523151080559 +  0.000402467704423585time_in_rfc[t] +  3.26057521327791logins[t] +  1.7549834189898compendium_views_info[t] +  1.53061445958573compendium_views_pr[t] +  5.82906472125487shared_compendiums[t] +  1.76823180244309blogged_computations[t] -4.52910219375143compendiums_reviewed[t] +  1.3585625050379feedback_messages_p1[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201010&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]pageviews[t] =  +  96.3523151080559 +  0.000402467704423585time_in_rfc[t] +  3.26057521327791logins[t] +  1.7549834189898compendium_views_info[t] +  1.53061445958573compendium_views_pr[t] +  5.82906472125487shared_compendiums[t] +  1.76823180244309blogged_computations[t] -4.52910219375143compendiums_reviewed[t] +  1.3585625050379feedback_messages_p1[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201010&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201010&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] = + 96.3523151080559 + 0.000402467704423585time_in_rfc[t] + 3.26057521327791logins[t] + 1.7549834189898compendium_views_info[t] + 1.53061445958573compendium_views_pr[t] + 5.82906472125487shared_compendiums[t] + 1.76823180244309blogged_computations[t] -4.52910219375143compendiums_reviewed[t] + 1.3585625050379feedback_messages_p1[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)96.352315108055925.1247743.8350.0001557.8e-05
time_in_rfc0.0004024677044235850.0003411.18030.2388730.119436
logins3.260575213277910.4108077.93700
compendium_views_info1.75498341898980.08455520.755500
compendium_views_pr1.530614459585730.2229826.864300
shared_compendiums5.829064721254873.8549641.51210.1316380.065819
blogged_computations1.768231802443090.5216113.38998e-044e-04
compendiums_reviewed-4.529102193751435.061247-0.89490.3716310.185816
feedback_messages_p11.35856250503791.3654260.9950.3206080.160304

\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) & 96.3523151080559 & 25.124774 & 3.835 & 0.000155 & 7.8e-05 \tabularnewline
time_in_rfc & 0.000402467704423585 & 0.000341 & 1.1803 & 0.238873 & 0.119436 \tabularnewline
logins & 3.26057521327791 & 0.410807 & 7.937 & 0 & 0 \tabularnewline
compendium_views_info & 1.7549834189898 & 0.084555 & 20.7555 & 0 & 0 \tabularnewline
compendium_views_pr & 1.53061445958573 & 0.222982 & 6.8643 & 0 & 0 \tabularnewline
shared_compendiums & 5.82906472125487 & 3.854964 & 1.5121 & 0.131638 & 0.065819 \tabularnewline
blogged_computations & 1.76823180244309 & 0.521611 & 3.3899 & 8e-04 & 4e-04 \tabularnewline
compendiums_reviewed & -4.52910219375143 & 5.061247 & -0.8949 & 0.371631 & 0.185816 \tabularnewline
feedback_messages_p1 & 1.3585625050379 & 1.365426 & 0.995 & 0.320608 & 0.160304 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201010&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]96.3523151080559[/C][C]25.124774[/C][C]3.835[/C][C]0.000155[/C][C]7.8e-05[/C][/ROW]
[ROW][C]time_in_rfc[/C][C]0.000402467704423585[/C][C]0.000341[/C][C]1.1803[/C][C]0.238873[/C][C]0.119436[/C][/ROW]
[ROW][C]logins[/C][C]3.26057521327791[/C][C]0.410807[/C][C]7.937[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]compendium_views_info[/C][C]1.7549834189898[/C][C]0.084555[/C][C]20.7555[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]compendium_views_pr[/C][C]1.53061445958573[/C][C]0.222982[/C][C]6.8643[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]shared_compendiums[/C][C]5.82906472125487[/C][C]3.854964[/C][C]1.5121[/C][C]0.131638[/C][C]0.065819[/C][/ROW]
[ROW][C]blogged_computations[/C][C]1.76823180244309[/C][C]0.521611[/C][C]3.3899[/C][C]8e-04[/C][C]4e-04[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]-4.52910219375143[/C][C]5.061247[/C][C]-0.8949[/C][C]0.371631[/C][C]0.185816[/C][/ROW]
[ROW][C]feedback_messages_p1[/C][C]1.3585625050379[/C][C]1.365426[/C][C]0.995[/C][C]0.320608[/C][C]0.160304[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201010&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201010&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)96.352315108055925.1247743.8350.0001557.8e-05
time_in_rfc0.0004024677044235850.0003411.18030.2388730.119436
logins3.260575213277910.4108077.93700
compendium_views_info1.75498341898980.08455520.755500
compendium_views_pr1.530614459585730.2229826.864300
shared_compendiums5.829064721254873.8549641.51210.1316380.065819
blogged_computations1.768231802443090.5216113.38998e-044e-04
compendiums_reviewed-4.529102193751435.061247-0.89490.3716310.185816
feedback_messages_p11.35856250503791.3654260.9950.3206080.160304






Multiple Linear Regression - Regression Statistics
Multiple R0.976577653809607
R-squared0.953703913920276
Adjusted R-squared0.952381168603712
F-TEST (value)721.003432768124
F-TEST (DF numerator)8
F-TEST (DF denominator)280
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation160.650815124398
Sum Squared Residuals7226431.6320374

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.976577653809607 \tabularnewline
R-squared & 0.953703913920276 \tabularnewline
Adjusted R-squared & 0.952381168603712 \tabularnewline
F-TEST (value) & 721.003432768124 \tabularnewline
F-TEST (DF numerator) & 8 \tabularnewline
F-TEST (DF denominator) & 280 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 160.650815124398 \tabularnewline
Sum Squared Residuals & 7226431.6320374 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201010&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.976577653809607[/C][/ROW]
[ROW][C]R-squared[/C][C]0.953703913920276[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.952381168603712[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]721.003432768124[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]8[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]280[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]160.650815124398[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]7226431.6320374[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201010&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201010&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 R0.976577653809607
R-squared0.953703913920276
Adjusted R-squared0.952381168603712
F-TEST (value)721.003432768124
F-TEST (DF numerator)8
F-TEST (DF denominator)280
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation160.650815124398
Sum Squared Residuals7226431.6320374






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
114181360.3201171584757.6798828415254
28691080.19190063619-211.19190063619
315301603.31552756667-73.3155275666703
421722571.4575428043-399.457542804304
5901896.637834440284.36216555972042
6463543.635971032799-80.6359710327992
732013620.35352383831-419.353523838306
8371438.300831746906-67.3008317469059
911921173.7915663887218.2084336112757
1015831675.37842474892-92.378424748917
1114391389.7062727657849.2937272342206
1217641884.50576197381-120.50576197381
1314951563.22071693351-68.2207169335111
1413731447.45340120655-74.4534012065509
1521872293.08865026955-106.088650269554
1614911497.84058769572-6.84058769571535
1740413727.0771922781313.922807721903
1817061727.38071398629-21.3807139862877
1921522383.34794830516-231.34794830516
2010361169.58684297903-133.58684297903
2118821709.28341638211172.71658361789
2219291822.54170173288106.458298267116
2322422459.28504899363-217.285048993632
2412201175.3443955544344.6556044455699
2512891299.22197031463-10.2219703146295
2625152607.35053696839-92.3505369683935
2721472143.765799834143.23420016585712
2823522434.0178129502-82.0178129502032
2916381610.3016891856927.6983108143104
3012221266.38717267984-44.3871726798406
3118121911.30043644159-99.3004364415871
3216771773.55038588949-96.5503858894943
3315791537.8003210327741.199678967233
3417311852.91588376466-121.915883764663
35807853.560203257359-46.5602032573592
3624522521.09856074104-69.0985607410435
37829793.12066003011935.8793399698815
3819402019.31539849652-79.3153984965198
3926622462.62141132686199.378588673138
40186279.049655769596-93.0496557695962
4114991494.957064768034.04293523197263
42865805.5378653638959.4621346361095
4317931533.85761157563259.14238842437
4425272567.8009628935-40.8009628935017
4527472963.94452084675-216.94452084675
4613241530.24612039212-206.246120392118
4727022395.70017231502306.299827684982
4813831532.34466834708-149.344668347084
4911791047.02882722228131.971172777723
5020992038.9684894609560.0315105390456
5143084755.83703089099-447.837030890994
52918972.06871550427-54.0687155042704
5318311650.51532162719180.484678372807
5433733003.8010475813369.198952418698
5517131865.85299380424-152.852993804242
5614381389.6037491456848.3962508543201
57496609.871879297809-113.871879297809
5822532728.16243305047-475.162433050465
59744733.39588138603510.6041186139653
6011611327.39485845083-166.394858450833
6123522164.99452181618187.005478183821
6221441758.653129608385.346870392002
6346913497.392143176141193.60785682386
6411121107.030204773444.96979522656085
6526942531.44191034177162.558089658228
6619732259.63293606379-286.632936063794
6717691888.86527693973-119.865276939732
6831482843.30483440899304.695165591015
6924742550.72279210972-76.722792109721
7020842209.93356904113-125.933569041126
7119541881.7562061616572.2437938383542
7212261424.21082748671-198.210827486715
7313891236.4861144175152.513885582504
7414961536.42172274506-40.4217227450625
7522692140.62632859121128.373671408794
7618331919.32112899545-86.3211289954541
7712681450.24052382726-182.240523827257
7819431808.89102081119134.108979188813
798931054.92087927982-161.920879279822
8017621653.05673714934108.94326285066
8114031662.82052323683-259.820523236833
8214251443.08311946244-18.0831194624371
8318572209.729429868-352.729429868005
8418402003.56510395607-163.565103956067
8515021456.59135387645.4086461240029
8614411371.2721663177769.7278336822318
8714201495.22766225152-75.2276622515159
8814161345.1694833504870.8305166495166
8929702682.73581614247287.264183857535
9013171643.11848847195-326.118488471952
9116441464.65372552389179.346274476112
928701113.27475677267-243.274756772669
9316541844.25325906511-190.253259065112
9410541075.23629037563-21.2362903756319
95937862.42069240016274.5793075998385
9630043249.08635180901-245.086351809015
9720081976.6475134982331.352486501768
9825472406.01897559949140.981024400506
9918851774.23402667668110.765973323324
10016261619.949943351346.05005664865897
10114681378.3010120055989.698987994413
10224452299.08334491833145.916655081667
10319642094.06565203435-130.065652034348
10413811361.9074605939619.0925394060387
10513691391.75884750208-22.7588475020818
10616591790.76522878285-131.765228782848
10728882665.51617895217222.483821047832
10812901042.60675640843247.393243591573
10928452921.28947344091-76.2894734409064
11019821984.17220506962-2.17220506962319
11119041950.33206947803-46.3320694780343
11213911609.61294824188-218.612948241876
113602657.513129534528-55.5131295345281
11417431678.7257654481464.274234551857
11515591762.07744457442-203.077444574417
11620142222.91612282124-208.91612282124
11721432227.41010444185-84.4101044418463
11821461966.36485515855179.635144841454
119874896.47339252168-22.4733925216797
12015901488.34267530123101.657324698766
12115901452.69113070458137.308869295418
12212101288.04825678229-78.0482567822883
12320722039.277165754332.7228342457038
12412811361.05088389558-80.0508838955785
12514011375.1113870634425.8886129365632
126834794.58351607864439.4164839213558
12711051136.63043266422-31.6304326642179
12812721069.29659067616202.703409323837
12919441839.13313581485104.866864185152
130391438.92252754117-47.9225275411704
131761730.67008446999530.3299155300049
13216051660.76313715246-55.763137152459
133530635.623784539377-105.623784539377
13419881709.68382444505278.316175554954
13513861300.386705076685.6132949233955
13623952526.22761678867-131.22761678867
137387423.356808870892-36.356808870892
13817421784.15621152611-42.1562115261089
139620573.00670885304446.9932911469558
140449585.175984055857-136.175984055857
141800832.831766432847-32.8317664328465
14216841477.49419639367206.505803606327
14310501102.76149881678-52.7614988167821
14426992620.7692509587878.2307490412247
14516061542.5919191903463.4080808096556
14615021276.846427967225.153572032995
14712041268.63042258956-64.6304225895581
14811381121.1055137589116.8944862410858
149568815.299227681093-247.299227681093
15014591429.5520562776629.4479437223398
15121582214.2313634207-56.2313634207035
15211111208.35607420316-97.3560742031642
15314211299.55632948828121.443670511721
15428333110.08051838299-277.080518382989
15519552105.50657740751-150.506577407509
15629222775.02423109819146.975768901812
15710021143.31532302432-141.315323024316
15810601157.74451198272-97.7445119827203
159956989.457410530172-33.4574105301715
16021862609.068818403-423.068818403
16136043363.46720894929240.532791050705
16210351066.46943890935-31.469438909349
16314171513.15297408782-96.1529740878246
16432613459.05911793221-198.059117932211
16515871629.83570320374-42.8357032037391
16614241450.40772587929-26.4077258792928
16717011786.57019825372-85.570198253718
16812491379.69384230972-130.693842309725
169946923.98027209477122.0197279052291
17019261779.79619616024146.203803839763
17133523310.2846619137841.7153380862171
17216411679.26457335666-38.2645733566568
17320351786.90096090751248.099039092489
17423122154.53444964324157.465550356761
17513691559.48235360557-190.48235360557
17615771590.29587635287-13.2958763528736
17722012167.1976183857633.8023816142424
178961944.14321040980216.8567895901976
17919001867.3728882741332.6271117258665
18012541253.659219132710.340780867293777
18113351280.718973165454.2810268345997
18215971481.17305973727115.826940262727
183207291.116030707315-84.1160307073145
18416451569.307972864475.6920271355965
18524292357.6953136586871.3046863413226
186151257.798951800938-106.798951800938
187474664.549677433606-190.549677433606
188141246.30813909942-105.30813909942
18916391374.71465220085264.285347799148
190872843.41545830776928.5845416922311
19113181237.8379102038480.1620897961619
19210181170.35703336397-152.357033363971
19313831300.7649463928382.2350536071671
19413141152.08937489969161.910625100312
19513351349.40638686877-14.4063868687695
19614031319.0474082787183.9525917212883
197910997.865155763605-87.8651557636053
198616663.358455716719-47.3584557167194
19914071436.89015427656-29.8901542765607
200771806.833271963784-35.8332719637839
201766785.386553707469-19.3865537074691
202473488.295279348178-15.2952793481782
20313761424.01665095776-48.0166509577551
20412321216.1943693522115.8056306477947
20515211497.8403525116123.1596474883919
206572577.106609139827-5.10660913982705
2071059904.193629693786154.806370306214
20815441586.86992933534-42.869929335341
20912301207.8487269716922.1512730283089
21012061211.49187440427-5.49187440426856
21112051110.6539329762494.3460670237649
21212551011.74950271245243.250497287554
213613609.8251732322183.17482676778229
214721815.331117644856-94.3311176448561
21511091029.8112433679679.1887566320395
216740701.24745764189138.7525423581093
21711261124.822992109591.17700789041109
218728798.192366602585-70.1923666025853
219689722.716908122899-33.7169081228991
220592616.39874731583-24.3987473158302
221995916.29212075413478.7078792458656
22216131193.10325749688419.896742503119
22320481751.69889805827296.301101941728
224705636.74894098501868.2510590149824
225301395.4860758989-94.4860758988997
22618031719.6171859391983.3828140608124
227799822.302783605913-23.3027836059134
228861942.629858373545-81.6298583735453
22911861052.81156834985133.18843165015
23014511116.54700214055334.452997859446
231628574.44968190216653.5503180978336
2321161973.923609045986187.076390954014
23314631344.73307442694118.26692557306
234742716.32406102008325.6759389799166
2359791062.58568124724-83.585681247235
236675698.46160022629-23.4616002262903
23712411185.9706845853655.0293154146365
238676650.90108817788825.098911822112
23910491053.66367910988-4.66367910988244
240620681.008273239585-61.0082732395853
2411081971.261967413274109.738032586726
24216881460.86006720611227.13993279389
243736749.941334911283-13.9413349112834
244617679.239865204535-62.2398652045354
245812851.866446570139-39.8664465701388
24610511036.6006948880414.3993051119644
24716561409.43450058269246.565499417305
248705780.130945784827-75.1309457848268
2499451021.94632767261-76.9463276726065
250554648.821263204527-94.8212632045266
25115971588.820296837368.179703162638
252982972.6725249700549.32747502994628
253222301.724132281192-79.7241322811924
25412121222.64843158286-10.648431582863
25511431201.39592198041-58.395921980411
256435514.815217157796-79.8152171577963
257532539.514284357615-7.51428435761497
258882951.647355298921-69.6473552989207
259608619.534753595846-11.5347535958459
260459463.208276893923-4.20827689392281
261578601.317904145629-23.3179041456286
262826789.37162566662436.6283743333758
263509448.31195213882560.6880478611746
264717658.63184249246358.3681575075373
265637689.337558315999-52.3375583159991
266857838.54336840130118.4566315986992
267830870.607259560173-40.6072595601728
268652806.031741065527-154.031741065527
269707802.087814969908-95.0878149699081
2709541024.09880829556-70.0988082955583
27114611307.59478223994153.405217760059
272672738.330447600087-66.3304476000872
273778796.582444446752-18.5824444467518
27411411121.5237633830519.4762366169471
275680627.13930750124152.8606924987589
2761090981.047813536147108.952186463853
277616539.52675961533976.4732403846608
278285329.460698932469-44.460698932469
27911451019.06323795814125.936762041861
280733765.072017372116-32.0720173721159
281888886.9336748351151.06632516488476
282849860.400473705235-11.4004737052346
28311821144.3099588245137.6900411754919
284528558.801281425516-30.8012814255164
285642711.098210406776-69.0982104067756
286947559.305221409303387.694778590697
287819686.167069013706132.832930986294
288757678.11725441650678.8827455834936
289894860.47224996766433.5277500323359

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 1418 & 1360.32011715847 & 57.6798828415254 \tabularnewline
2 & 869 & 1080.19190063619 & -211.19190063619 \tabularnewline
3 & 1530 & 1603.31552756667 & -73.3155275666703 \tabularnewline
4 & 2172 & 2571.4575428043 & -399.457542804304 \tabularnewline
5 & 901 & 896.63783444028 & 4.36216555972042 \tabularnewline
6 & 463 & 543.635971032799 & -80.6359710327992 \tabularnewline
7 & 3201 & 3620.35352383831 & -419.353523838306 \tabularnewline
8 & 371 & 438.300831746906 & -67.3008317469059 \tabularnewline
9 & 1192 & 1173.79156638872 & 18.2084336112757 \tabularnewline
10 & 1583 & 1675.37842474892 & -92.378424748917 \tabularnewline
11 & 1439 & 1389.70627276578 & 49.2937272342206 \tabularnewline
12 & 1764 & 1884.50576197381 & -120.50576197381 \tabularnewline
13 & 1495 & 1563.22071693351 & -68.2207169335111 \tabularnewline
14 & 1373 & 1447.45340120655 & -74.4534012065509 \tabularnewline
15 & 2187 & 2293.08865026955 & -106.088650269554 \tabularnewline
16 & 1491 & 1497.84058769572 & -6.84058769571535 \tabularnewline
17 & 4041 & 3727.0771922781 & 313.922807721903 \tabularnewline
18 & 1706 & 1727.38071398629 & -21.3807139862877 \tabularnewline
19 & 2152 & 2383.34794830516 & -231.34794830516 \tabularnewline
20 & 1036 & 1169.58684297903 & -133.58684297903 \tabularnewline
21 & 1882 & 1709.28341638211 & 172.71658361789 \tabularnewline
22 & 1929 & 1822.54170173288 & 106.458298267116 \tabularnewline
23 & 2242 & 2459.28504899363 & -217.285048993632 \tabularnewline
24 & 1220 & 1175.34439555443 & 44.6556044455699 \tabularnewline
25 & 1289 & 1299.22197031463 & -10.2219703146295 \tabularnewline
26 & 2515 & 2607.35053696839 & -92.3505369683935 \tabularnewline
27 & 2147 & 2143.76579983414 & 3.23420016585712 \tabularnewline
28 & 2352 & 2434.0178129502 & -82.0178129502032 \tabularnewline
29 & 1638 & 1610.30168918569 & 27.6983108143104 \tabularnewline
30 & 1222 & 1266.38717267984 & -44.3871726798406 \tabularnewline
31 & 1812 & 1911.30043644159 & -99.3004364415871 \tabularnewline
32 & 1677 & 1773.55038588949 & -96.5503858894943 \tabularnewline
33 & 1579 & 1537.80032103277 & 41.199678967233 \tabularnewline
34 & 1731 & 1852.91588376466 & -121.915883764663 \tabularnewline
35 & 807 & 853.560203257359 & -46.5602032573592 \tabularnewline
36 & 2452 & 2521.09856074104 & -69.0985607410435 \tabularnewline
37 & 829 & 793.120660030119 & 35.8793399698815 \tabularnewline
38 & 1940 & 2019.31539849652 & -79.3153984965198 \tabularnewline
39 & 2662 & 2462.62141132686 & 199.378588673138 \tabularnewline
40 & 186 & 279.049655769596 & -93.0496557695962 \tabularnewline
41 & 1499 & 1494.95706476803 & 4.04293523197263 \tabularnewline
42 & 865 & 805.53786536389 & 59.4621346361095 \tabularnewline
43 & 1793 & 1533.85761157563 & 259.14238842437 \tabularnewline
44 & 2527 & 2567.8009628935 & -40.8009628935017 \tabularnewline
45 & 2747 & 2963.94452084675 & -216.94452084675 \tabularnewline
46 & 1324 & 1530.24612039212 & -206.246120392118 \tabularnewline
47 & 2702 & 2395.70017231502 & 306.299827684982 \tabularnewline
48 & 1383 & 1532.34466834708 & -149.344668347084 \tabularnewline
49 & 1179 & 1047.02882722228 & 131.971172777723 \tabularnewline
50 & 2099 & 2038.96848946095 & 60.0315105390456 \tabularnewline
51 & 4308 & 4755.83703089099 & -447.837030890994 \tabularnewline
52 & 918 & 972.06871550427 & -54.0687155042704 \tabularnewline
53 & 1831 & 1650.51532162719 & 180.484678372807 \tabularnewline
54 & 3373 & 3003.8010475813 & 369.198952418698 \tabularnewline
55 & 1713 & 1865.85299380424 & -152.852993804242 \tabularnewline
56 & 1438 & 1389.60374914568 & 48.3962508543201 \tabularnewline
57 & 496 & 609.871879297809 & -113.871879297809 \tabularnewline
58 & 2253 & 2728.16243305047 & -475.162433050465 \tabularnewline
59 & 744 & 733.395881386035 & 10.6041186139653 \tabularnewline
60 & 1161 & 1327.39485845083 & -166.394858450833 \tabularnewline
61 & 2352 & 2164.99452181618 & 187.005478183821 \tabularnewline
62 & 2144 & 1758.653129608 & 385.346870392002 \tabularnewline
63 & 4691 & 3497.39214317614 & 1193.60785682386 \tabularnewline
64 & 1112 & 1107.03020477344 & 4.96979522656085 \tabularnewline
65 & 2694 & 2531.44191034177 & 162.558089658228 \tabularnewline
66 & 1973 & 2259.63293606379 & -286.632936063794 \tabularnewline
67 & 1769 & 1888.86527693973 & -119.865276939732 \tabularnewline
68 & 3148 & 2843.30483440899 & 304.695165591015 \tabularnewline
69 & 2474 & 2550.72279210972 & -76.722792109721 \tabularnewline
70 & 2084 & 2209.93356904113 & -125.933569041126 \tabularnewline
71 & 1954 & 1881.75620616165 & 72.2437938383542 \tabularnewline
72 & 1226 & 1424.21082748671 & -198.210827486715 \tabularnewline
73 & 1389 & 1236.4861144175 & 152.513885582504 \tabularnewline
74 & 1496 & 1536.42172274506 & -40.4217227450625 \tabularnewline
75 & 2269 & 2140.62632859121 & 128.373671408794 \tabularnewline
76 & 1833 & 1919.32112899545 & -86.3211289954541 \tabularnewline
77 & 1268 & 1450.24052382726 & -182.240523827257 \tabularnewline
78 & 1943 & 1808.89102081119 & 134.108979188813 \tabularnewline
79 & 893 & 1054.92087927982 & -161.920879279822 \tabularnewline
80 & 1762 & 1653.05673714934 & 108.94326285066 \tabularnewline
81 & 1403 & 1662.82052323683 & -259.820523236833 \tabularnewline
82 & 1425 & 1443.08311946244 & -18.0831194624371 \tabularnewline
83 & 1857 & 2209.729429868 & -352.729429868005 \tabularnewline
84 & 1840 & 2003.56510395607 & -163.565103956067 \tabularnewline
85 & 1502 & 1456.591353876 & 45.4086461240029 \tabularnewline
86 & 1441 & 1371.27216631777 & 69.7278336822318 \tabularnewline
87 & 1420 & 1495.22766225152 & -75.2276622515159 \tabularnewline
88 & 1416 & 1345.16948335048 & 70.8305166495166 \tabularnewline
89 & 2970 & 2682.73581614247 & 287.264183857535 \tabularnewline
90 & 1317 & 1643.11848847195 & -326.118488471952 \tabularnewline
91 & 1644 & 1464.65372552389 & 179.346274476112 \tabularnewline
92 & 870 & 1113.27475677267 & -243.274756772669 \tabularnewline
93 & 1654 & 1844.25325906511 & -190.253259065112 \tabularnewline
94 & 1054 & 1075.23629037563 & -21.2362903756319 \tabularnewline
95 & 937 & 862.420692400162 & 74.5793075998385 \tabularnewline
96 & 3004 & 3249.08635180901 & -245.086351809015 \tabularnewline
97 & 2008 & 1976.64751349823 & 31.352486501768 \tabularnewline
98 & 2547 & 2406.01897559949 & 140.981024400506 \tabularnewline
99 & 1885 & 1774.23402667668 & 110.765973323324 \tabularnewline
100 & 1626 & 1619.94994335134 & 6.05005664865897 \tabularnewline
101 & 1468 & 1378.30101200559 & 89.698987994413 \tabularnewline
102 & 2445 & 2299.08334491833 & 145.916655081667 \tabularnewline
103 & 1964 & 2094.06565203435 & -130.065652034348 \tabularnewline
104 & 1381 & 1361.90746059396 & 19.0925394060387 \tabularnewline
105 & 1369 & 1391.75884750208 & -22.7588475020818 \tabularnewline
106 & 1659 & 1790.76522878285 & -131.765228782848 \tabularnewline
107 & 2888 & 2665.51617895217 & 222.483821047832 \tabularnewline
108 & 1290 & 1042.60675640843 & 247.393243591573 \tabularnewline
109 & 2845 & 2921.28947344091 & -76.2894734409064 \tabularnewline
110 & 1982 & 1984.17220506962 & -2.17220506962319 \tabularnewline
111 & 1904 & 1950.33206947803 & -46.3320694780343 \tabularnewline
112 & 1391 & 1609.61294824188 & -218.612948241876 \tabularnewline
113 & 602 & 657.513129534528 & -55.5131295345281 \tabularnewline
114 & 1743 & 1678.72576544814 & 64.274234551857 \tabularnewline
115 & 1559 & 1762.07744457442 & -203.077444574417 \tabularnewline
116 & 2014 & 2222.91612282124 & -208.91612282124 \tabularnewline
117 & 2143 & 2227.41010444185 & -84.4101044418463 \tabularnewline
118 & 2146 & 1966.36485515855 & 179.635144841454 \tabularnewline
119 & 874 & 896.47339252168 & -22.4733925216797 \tabularnewline
120 & 1590 & 1488.34267530123 & 101.657324698766 \tabularnewline
121 & 1590 & 1452.69113070458 & 137.308869295418 \tabularnewline
122 & 1210 & 1288.04825678229 & -78.0482567822883 \tabularnewline
123 & 2072 & 2039.2771657543 & 32.7228342457038 \tabularnewline
124 & 1281 & 1361.05088389558 & -80.0508838955785 \tabularnewline
125 & 1401 & 1375.11138706344 & 25.8886129365632 \tabularnewline
126 & 834 & 794.583516078644 & 39.4164839213558 \tabularnewline
127 & 1105 & 1136.63043266422 & -31.6304326642179 \tabularnewline
128 & 1272 & 1069.29659067616 & 202.703409323837 \tabularnewline
129 & 1944 & 1839.13313581485 & 104.866864185152 \tabularnewline
130 & 391 & 438.92252754117 & -47.9225275411704 \tabularnewline
131 & 761 & 730.670084469995 & 30.3299155300049 \tabularnewline
132 & 1605 & 1660.76313715246 & -55.763137152459 \tabularnewline
133 & 530 & 635.623784539377 & -105.623784539377 \tabularnewline
134 & 1988 & 1709.68382444505 & 278.316175554954 \tabularnewline
135 & 1386 & 1300.3867050766 & 85.6132949233955 \tabularnewline
136 & 2395 & 2526.22761678867 & -131.22761678867 \tabularnewline
137 & 387 & 423.356808870892 & -36.356808870892 \tabularnewline
138 & 1742 & 1784.15621152611 & -42.1562115261089 \tabularnewline
139 & 620 & 573.006708853044 & 46.9932911469558 \tabularnewline
140 & 449 & 585.175984055857 & -136.175984055857 \tabularnewline
141 & 800 & 832.831766432847 & -32.8317664328465 \tabularnewline
142 & 1684 & 1477.49419639367 & 206.505803606327 \tabularnewline
143 & 1050 & 1102.76149881678 & -52.7614988167821 \tabularnewline
144 & 2699 & 2620.76925095878 & 78.2307490412247 \tabularnewline
145 & 1606 & 1542.59191919034 & 63.4080808096556 \tabularnewline
146 & 1502 & 1276.846427967 & 225.153572032995 \tabularnewline
147 & 1204 & 1268.63042258956 & -64.6304225895581 \tabularnewline
148 & 1138 & 1121.10551375891 & 16.8944862410858 \tabularnewline
149 & 568 & 815.299227681093 & -247.299227681093 \tabularnewline
150 & 1459 & 1429.55205627766 & 29.4479437223398 \tabularnewline
151 & 2158 & 2214.2313634207 & -56.2313634207035 \tabularnewline
152 & 1111 & 1208.35607420316 & -97.3560742031642 \tabularnewline
153 & 1421 & 1299.55632948828 & 121.443670511721 \tabularnewline
154 & 2833 & 3110.08051838299 & -277.080518382989 \tabularnewline
155 & 1955 & 2105.50657740751 & -150.506577407509 \tabularnewline
156 & 2922 & 2775.02423109819 & 146.975768901812 \tabularnewline
157 & 1002 & 1143.31532302432 & -141.315323024316 \tabularnewline
158 & 1060 & 1157.74451198272 & -97.7445119827203 \tabularnewline
159 & 956 & 989.457410530172 & -33.4574105301715 \tabularnewline
160 & 2186 & 2609.068818403 & -423.068818403 \tabularnewline
161 & 3604 & 3363.46720894929 & 240.532791050705 \tabularnewline
162 & 1035 & 1066.46943890935 & -31.469438909349 \tabularnewline
163 & 1417 & 1513.15297408782 & -96.1529740878246 \tabularnewline
164 & 3261 & 3459.05911793221 & -198.059117932211 \tabularnewline
165 & 1587 & 1629.83570320374 & -42.8357032037391 \tabularnewline
166 & 1424 & 1450.40772587929 & -26.4077258792928 \tabularnewline
167 & 1701 & 1786.57019825372 & -85.570198253718 \tabularnewline
168 & 1249 & 1379.69384230972 & -130.693842309725 \tabularnewline
169 & 946 & 923.980272094771 & 22.0197279052291 \tabularnewline
170 & 1926 & 1779.79619616024 & 146.203803839763 \tabularnewline
171 & 3352 & 3310.28466191378 & 41.7153380862171 \tabularnewline
172 & 1641 & 1679.26457335666 & -38.2645733566568 \tabularnewline
173 & 2035 & 1786.90096090751 & 248.099039092489 \tabularnewline
174 & 2312 & 2154.53444964324 & 157.465550356761 \tabularnewline
175 & 1369 & 1559.48235360557 & -190.48235360557 \tabularnewline
176 & 1577 & 1590.29587635287 & -13.2958763528736 \tabularnewline
177 & 2201 & 2167.19761838576 & 33.8023816142424 \tabularnewline
178 & 961 & 944.143210409802 & 16.8567895901976 \tabularnewline
179 & 1900 & 1867.37288827413 & 32.6271117258665 \tabularnewline
180 & 1254 & 1253.65921913271 & 0.340780867293777 \tabularnewline
181 & 1335 & 1280.7189731654 & 54.2810268345997 \tabularnewline
182 & 1597 & 1481.17305973727 & 115.826940262727 \tabularnewline
183 & 207 & 291.116030707315 & -84.1160307073145 \tabularnewline
184 & 1645 & 1569.3079728644 & 75.6920271355965 \tabularnewline
185 & 2429 & 2357.69531365868 & 71.3046863413226 \tabularnewline
186 & 151 & 257.798951800938 & -106.798951800938 \tabularnewline
187 & 474 & 664.549677433606 & -190.549677433606 \tabularnewline
188 & 141 & 246.30813909942 & -105.30813909942 \tabularnewline
189 & 1639 & 1374.71465220085 & 264.285347799148 \tabularnewline
190 & 872 & 843.415458307769 & 28.5845416922311 \tabularnewline
191 & 1318 & 1237.83791020384 & 80.1620897961619 \tabularnewline
192 & 1018 & 1170.35703336397 & -152.357033363971 \tabularnewline
193 & 1383 & 1300.76494639283 & 82.2350536071671 \tabularnewline
194 & 1314 & 1152.08937489969 & 161.910625100312 \tabularnewline
195 & 1335 & 1349.40638686877 & -14.4063868687695 \tabularnewline
196 & 1403 & 1319.04740827871 & 83.9525917212883 \tabularnewline
197 & 910 & 997.865155763605 & -87.8651557636053 \tabularnewline
198 & 616 & 663.358455716719 & -47.3584557167194 \tabularnewline
199 & 1407 & 1436.89015427656 & -29.8901542765607 \tabularnewline
200 & 771 & 806.833271963784 & -35.8332719637839 \tabularnewline
201 & 766 & 785.386553707469 & -19.3865537074691 \tabularnewline
202 & 473 & 488.295279348178 & -15.2952793481782 \tabularnewline
203 & 1376 & 1424.01665095776 & -48.0166509577551 \tabularnewline
204 & 1232 & 1216.19436935221 & 15.8056306477947 \tabularnewline
205 & 1521 & 1497.84035251161 & 23.1596474883919 \tabularnewline
206 & 572 & 577.106609139827 & -5.10660913982705 \tabularnewline
207 & 1059 & 904.193629693786 & 154.806370306214 \tabularnewline
208 & 1544 & 1586.86992933534 & -42.869929335341 \tabularnewline
209 & 1230 & 1207.84872697169 & 22.1512730283089 \tabularnewline
210 & 1206 & 1211.49187440427 & -5.49187440426856 \tabularnewline
211 & 1205 & 1110.65393297624 & 94.3460670237649 \tabularnewline
212 & 1255 & 1011.74950271245 & 243.250497287554 \tabularnewline
213 & 613 & 609.825173232218 & 3.17482676778229 \tabularnewline
214 & 721 & 815.331117644856 & -94.3311176448561 \tabularnewline
215 & 1109 & 1029.81124336796 & 79.1887566320395 \tabularnewline
216 & 740 & 701.247457641891 & 38.7525423581093 \tabularnewline
217 & 1126 & 1124.82299210959 & 1.17700789041109 \tabularnewline
218 & 728 & 798.192366602585 & -70.1923666025853 \tabularnewline
219 & 689 & 722.716908122899 & -33.7169081228991 \tabularnewline
220 & 592 & 616.39874731583 & -24.3987473158302 \tabularnewline
221 & 995 & 916.292120754134 & 78.7078792458656 \tabularnewline
222 & 1613 & 1193.10325749688 & 419.896742503119 \tabularnewline
223 & 2048 & 1751.69889805827 & 296.301101941728 \tabularnewline
224 & 705 & 636.748940985018 & 68.2510590149824 \tabularnewline
225 & 301 & 395.4860758989 & -94.4860758988997 \tabularnewline
226 & 1803 & 1719.61718593919 & 83.3828140608124 \tabularnewline
227 & 799 & 822.302783605913 & -23.3027836059134 \tabularnewline
228 & 861 & 942.629858373545 & -81.6298583735453 \tabularnewline
229 & 1186 & 1052.81156834985 & 133.18843165015 \tabularnewline
230 & 1451 & 1116.54700214055 & 334.452997859446 \tabularnewline
231 & 628 & 574.449681902166 & 53.5503180978336 \tabularnewline
232 & 1161 & 973.923609045986 & 187.076390954014 \tabularnewline
233 & 1463 & 1344.73307442694 & 118.26692557306 \tabularnewline
234 & 742 & 716.324061020083 & 25.6759389799166 \tabularnewline
235 & 979 & 1062.58568124724 & -83.585681247235 \tabularnewline
236 & 675 & 698.46160022629 & -23.4616002262903 \tabularnewline
237 & 1241 & 1185.97068458536 & 55.0293154146365 \tabularnewline
238 & 676 & 650.901088177888 & 25.098911822112 \tabularnewline
239 & 1049 & 1053.66367910988 & -4.66367910988244 \tabularnewline
240 & 620 & 681.008273239585 & -61.0082732395853 \tabularnewline
241 & 1081 & 971.261967413274 & 109.738032586726 \tabularnewline
242 & 1688 & 1460.86006720611 & 227.13993279389 \tabularnewline
243 & 736 & 749.941334911283 & -13.9413349112834 \tabularnewline
244 & 617 & 679.239865204535 & -62.2398652045354 \tabularnewline
245 & 812 & 851.866446570139 & -39.8664465701388 \tabularnewline
246 & 1051 & 1036.60069488804 & 14.3993051119644 \tabularnewline
247 & 1656 & 1409.43450058269 & 246.565499417305 \tabularnewline
248 & 705 & 780.130945784827 & -75.1309457848268 \tabularnewline
249 & 945 & 1021.94632767261 & -76.9463276726065 \tabularnewline
250 & 554 & 648.821263204527 & -94.8212632045266 \tabularnewline
251 & 1597 & 1588.82029683736 & 8.179703162638 \tabularnewline
252 & 982 & 972.672524970054 & 9.32747502994628 \tabularnewline
253 & 222 & 301.724132281192 & -79.7241322811924 \tabularnewline
254 & 1212 & 1222.64843158286 & -10.648431582863 \tabularnewline
255 & 1143 & 1201.39592198041 & -58.395921980411 \tabularnewline
256 & 435 & 514.815217157796 & -79.8152171577963 \tabularnewline
257 & 532 & 539.514284357615 & -7.51428435761497 \tabularnewline
258 & 882 & 951.647355298921 & -69.6473552989207 \tabularnewline
259 & 608 & 619.534753595846 & -11.5347535958459 \tabularnewline
260 & 459 & 463.208276893923 & -4.20827689392281 \tabularnewline
261 & 578 & 601.317904145629 & -23.3179041456286 \tabularnewline
262 & 826 & 789.371625666624 & 36.6283743333758 \tabularnewline
263 & 509 & 448.311952138825 & 60.6880478611746 \tabularnewline
264 & 717 & 658.631842492463 & 58.3681575075373 \tabularnewline
265 & 637 & 689.337558315999 & -52.3375583159991 \tabularnewline
266 & 857 & 838.543368401301 & 18.4566315986992 \tabularnewline
267 & 830 & 870.607259560173 & -40.6072595601728 \tabularnewline
268 & 652 & 806.031741065527 & -154.031741065527 \tabularnewline
269 & 707 & 802.087814969908 & -95.0878149699081 \tabularnewline
270 & 954 & 1024.09880829556 & -70.0988082955583 \tabularnewline
271 & 1461 & 1307.59478223994 & 153.405217760059 \tabularnewline
272 & 672 & 738.330447600087 & -66.3304476000872 \tabularnewline
273 & 778 & 796.582444446752 & -18.5824444467518 \tabularnewline
274 & 1141 & 1121.52376338305 & 19.4762366169471 \tabularnewline
275 & 680 & 627.139307501241 & 52.8606924987589 \tabularnewline
276 & 1090 & 981.047813536147 & 108.952186463853 \tabularnewline
277 & 616 & 539.526759615339 & 76.4732403846608 \tabularnewline
278 & 285 & 329.460698932469 & -44.460698932469 \tabularnewline
279 & 1145 & 1019.06323795814 & 125.936762041861 \tabularnewline
280 & 733 & 765.072017372116 & -32.0720173721159 \tabularnewline
281 & 888 & 886.933674835115 & 1.06632516488476 \tabularnewline
282 & 849 & 860.400473705235 & -11.4004737052346 \tabularnewline
283 & 1182 & 1144.30995882451 & 37.6900411754919 \tabularnewline
284 & 528 & 558.801281425516 & -30.8012814255164 \tabularnewline
285 & 642 & 711.098210406776 & -69.0982104067756 \tabularnewline
286 & 947 & 559.305221409303 & 387.694778590697 \tabularnewline
287 & 819 & 686.167069013706 & 132.832930986294 \tabularnewline
288 & 757 & 678.117254416506 & 78.8827455834936 \tabularnewline
289 & 894 & 860.472249967664 & 33.5277500323359 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201010&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]1360.32011715847[/C][C]57.6798828415254[/C][/ROW]
[ROW][C]2[/C][C]869[/C][C]1080.19190063619[/C][C]-211.19190063619[/C][/ROW]
[ROW][C]3[/C][C]1530[/C][C]1603.31552756667[/C][C]-73.3155275666703[/C][/ROW]
[ROW][C]4[/C][C]2172[/C][C]2571.4575428043[/C][C]-399.457542804304[/C][/ROW]
[ROW][C]5[/C][C]901[/C][C]896.63783444028[/C][C]4.36216555972042[/C][/ROW]
[ROW][C]6[/C][C]463[/C][C]543.635971032799[/C][C]-80.6359710327992[/C][/ROW]
[ROW][C]7[/C][C]3201[/C][C]3620.35352383831[/C][C]-419.353523838306[/C][/ROW]
[ROW][C]8[/C][C]371[/C][C]438.300831746906[/C][C]-67.3008317469059[/C][/ROW]
[ROW][C]9[/C][C]1192[/C][C]1173.79156638872[/C][C]18.2084336112757[/C][/ROW]
[ROW][C]10[/C][C]1583[/C][C]1675.37842474892[/C][C]-92.378424748917[/C][/ROW]
[ROW][C]11[/C][C]1439[/C][C]1389.70627276578[/C][C]49.2937272342206[/C][/ROW]
[ROW][C]12[/C][C]1764[/C][C]1884.50576197381[/C][C]-120.50576197381[/C][/ROW]
[ROW][C]13[/C][C]1495[/C][C]1563.22071693351[/C][C]-68.2207169335111[/C][/ROW]
[ROW][C]14[/C][C]1373[/C][C]1447.45340120655[/C][C]-74.4534012065509[/C][/ROW]
[ROW][C]15[/C][C]2187[/C][C]2293.08865026955[/C][C]-106.088650269554[/C][/ROW]
[ROW][C]16[/C][C]1491[/C][C]1497.84058769572[/C][C]-6.84058769571535[/C][/ROW]
[ROW][C]17[/C][C]4041[/C][C]3727.0771922781[/C][C]313.922807721903[/C][/ROW]
[ROW][C]18[/C][C]1706[/C][C]1727.38071398629[/C][C]-21.3807139862877[/C][/ROW]
[ROW][C]19[/C][C]2152[/C][C]2383.34794830516[/C][C]-231.34794830516[/C][/ROW]
[ROW][C]20[/C][C]1036[/C][C]1169.58684297903[/C][C]-133.58684297903[/C][/ROW]
[ROW][C]21[/C][C]1882[/C][C]1709.28341638211[/C][C]172.71658361789[/C][/ROW]
[ROW][C]22[/C][C]1929[/C][C]1822.54170173288[/C][C]106.458298267116[/C][/ROW]
[ROW][C]23[/C][C]2242[/C][C]2459.28504899363[/C][C]-217.285048993632[/C][/ROW]
[ROW][C]24[/C][C]1220[/C][C]1175.34439555443[/C][C]44.6556044455699[/C][/ROW]
[ROW][C]25[/C][C]1289[/C][C]1299.22197031463[/C][C]-10.2219703146295[/C][/ROW]
[ROW][C]26[/C][C]2515[/C][C]2607.35053696839[/C][C]-92.3505369683935[/C][/ROW]
[ROW][C]27[/C][C]2147[/C][C]2143.76579983414[/C][C]3.23420016585712[/C][/ROW]
[ROW][C]28[/C][C]2352[/C][C]2434.0178129502[/C][C]-82.0178129502032[/C][/ROW]
[ROW][C]29[/C][C]1638[/C][C]1610.30168918569[/C][C]27.6983108143104[/C][/ROW]
[ROW][C]30[/C][C]1222[/C][C]1266.38717267984[/C][C]-44.3871726798406[/C][/ROW]
[ROW][C]31[/C][C]1812[/C][C]1911.30043644159[/C][C]-99.3004364415871[/C][/ROW]
[ROW][C]32[/C][C]1677[/C][C]1773.55038588949[/C][C]-96.5503858894943[/C][/ROW]
[ROW][C]33[/C][C]1579[/C][C]1537.80032103277[/C][C]41.199678967233[/C][/ROW]
[ROW][C]34[/C][C]1731[/C][C]1852.91588376466[/C][C]-121.915883764663[/C][/ROW]
[ROW][C]35[/C][C]807[/C][C]853.560203257359[/C][C]-46.5602032573592[/C][/ROW]
[ROW][C]36[/C][C]2452[/C][C]2521.09856074104[/C][C]-69.0985607410435[/C][/ROW]
[ROW][C]37[/C][C]829[/C][C]793.120660030119[/C][C]35.8793399698815[/C][/ROW]
[ROW][C]38[/C][C]1940[/C][C]2019.31539849652[/C][C]-79.3153984965198[/C][/ROW]
[ROW][C]39[/C][C]2662[/C][C]2462.62141132686[/C][C]199.378588673138[/C][/ROW]
[ROW][C]40[/C][C]186[/C][C]279.049655769596[/C][C]-93.0496557695962[/C][/ROW]
[ROW][C]41[/C][C]1499[/C][C]1494.95706476803[/C][C]4.04293523197263[/C][/ROW]
[ROW][C]42[/C][C]865[/C][C]805.53786536389[/C][C]59.4621346361095[/C][/ROW]
[ROW][C]43[/C][C]1793[/C][C]1533.85761157563[/C][C]259.14238842437[/C][/ROW]
[ROW][C]44[/C][C]2527[/C][C]2567.8009628935[/C][C]-40.8009628935017[/C][/ROW]
[ROW][C]45[/C][C]2747[/C][C]2963.94452084675[/C][C]-216.94452084675[/C][/ROW]
[ROW][C]46[/C][C]1324[/C][C]1530.24612039212[/C][C]-206.246120392118[/C][/ROW]
[ROW][C]47[/C][C]2702[/C][C]2395.70017231502[/C][C]306.299827684982[/C][/ROW]
[ROW][C]48[/C][C]1383[/C][C]1532.34466834708[/C][C]-149.344668347084[/C][/ROW]
[ROW][C]49[/C][C]1179[/C][C]1047.02882722228[/C][C]131.971172777723[/C][/ROW]
[ROW][C]50[/C][C]2099[/C][C]2038.96848946095[/C][C]60.0315105390456[/C][/ROW]
[ROW][C]51[/C][C]4308[/C][C]4755.83703089099[/C][C]-447.837030890994[/C][/ROW]
[ROW][C]52[/C][C]918[/C][C]972.06871550427[/C][C]-54.0687155042704[/C][/ROW]
[ROW][C]53[/C][C]1831[/C][C]1650.51532162719[/C][C]180.484678372807[/C][/ROW]
[ROW][C]54[/C][C]3373[/C][C]3003.8010475813[/C][C]369.198952418698[/C][/ROW]
[ROW][C]55[/C][C]1713[/C][C]1865.85299380424[/C][C]-152.852993804242[/C][/ROW]
[ROW][C]56[/C][C]1438[/C][C]1389.60374914568[/C][C]48.3962508543201[/C][/ROW]
[ROW][C]57[/C][C]496[/C][C]609.871879297809[/C][C]-113.871879297809[/C][/ROW]
[ROW][C]58[/C][C]2253[/C][C]2728.16243305047[/C][C]-475.162433050465[/C][/ROW]
[ROW][C]59[/C][C]744[/C][C]733.395881386035[/C][C]10.6041186139653[/C][/ROW]
[ROW][C]60[/C][C]1161[/C][C]1327.39485845083[/C][C]-166.394858450833[/C][/ROW]
[ROW][C]61[/C][C]2352[/C][C]2164.99452181618[/C][C]187.005478183821[/C][/ROW]
[ROW][C]62[/C][C]2144[/C][C]1758.653129608[/C][C]385.346870392002[/C][/ROW]
[ROW][C]63[/C][C]4691[/C][C]3497.39214317614[/C][C]1193.60785682386[/C][/ROW]
[ROW][C]64[/C][C]1112[/C][C]1107.03020477344[/C][C]4.96979522656085[/C][/ROW]
[ROW][C]65[/C][C]2694[/C][C]2531.44191034177[/C][C]162.558089658228[/C][/ROW]
[ROW][C]66[/C][C]1973[/C][C]2259.63293606379[/C][C]-286.632936063794[/C][/ROW]
[ROW][C]67[/C][C]1769[/C][C]1888.86527693973[/C][C]-119.865276939732[/C][/ROW]
[ROW][C]68[/C][C]3148[/C][C]2843.30483440899[/C][C]304.695165591015[/C][/ROW]
[ROW][C]69[/C][C]2474[/C][C]2550.72279210972[/C][C]-76.722792109721[/C][/ROW]
[ROW][C]70[/C][C]2084[/C][C]2209.93356904113[/C][C]-125.933569041126[/C][/ROW]
[ROW][C]71[/C][C]1954[/C][C]1881.75620616165[/C][C]72.2437938383542[/C][/ROW]
[ROW][C]72[/C][C]1226[/C][C]1424.21082748671[/C][C]-198.210827486715[/C][/ROW]
[ROW][C]73[/C][C]1389[/C][C]1236.4861144175[/C][C]152.513885582504[/C][/ROW]
[ROW][C]74[/C][C]1496[/C][C]1536.42172274506[/C][C]-40.4217227450625[/C][/ROW]
[ROW][C]75[/C][C]2269[/C][C]2140.62632859121[/C][C]128.373671408794[/C][/ROW]
[ROW][C]76[/C][C]1833[/C][C]1919.32112899545[/C][C]-86.3211289954541[/C][/ROW]
[ROW][C]77[/C][C]1268[/C][C]1450.24052382726[/C][C]-182.240523827257[/C][/ROW]
[ROW][C]78[/C][C]1943[/C][C]1808.89102081119[/C][C]134.108979188813[/C][/ROW]
[ROW][C]79[/C][C]893[/C][C]1054.92087927982[/C][C]-161.920879279822[/C][/ROW]
[ROW][C]80[/C][C]1762[/C][C]1653.05673714934[/C][C]108.94326285066[/C][/ROW]
[ROW][C]81[/C][C]1403[/C][C]1662.82052323683[/C][C]-259.820523236833[/C][/ROW]
[ROW][C]82[/C][C]1425[/C][C]1443.08311946244[/C][C]-18.0831194624371[/C][/ROW]
[ROW][C]83[/C][C]1857[/C][C]2209.729429868[/C][C]-352.729429868005[/C][/ROW]
[ROW][C]84[/C][C]1840[/C][C]2003.56510395607[/C][C]-163.565103956067[/C][/ROW]
[ROW][C]85[/C][C]1502[/C][C]1456.591353876[/C][C]45.4086461240029[/C][/ROW]
[ROW][C]86[/C][C]1441[/C][C]1371.27216631777[/C][C]69.7278336822318[/C][/ROW]
[ROW][C]87[/C][C]1420[/C][C]1495.22766225152[/C][C]-75.2276622515159[/C][/ROW]
[ROW][C]88[/C][C]1416[/C][C]1345.16948335048[/C][C]70.8305166495166[/C][/ROW]
[ROW][C]89[/C][C]2970[/C][C]2682.73581614247[/C][C]287.264183857535[/C][/ROW]
[ROW][C]90[/C][C]1317[/C][C]1643.11848847195[/C][C]-326.118488471952[/C][/ROW]
[ROW][C]91[/C][C]1644[/C][C]1464.65372552389[/C][C]179.346274476112[/C][/ROW]
[ROW][C]92[/C][C]870[/C][C]1113.27475677267[/C][C]-243.274756772669[/C][/ROW]
[ROW][C]93[/C][C]1654[/C][C]1844.25325906511[/C][C]-190.253259065112[/C][/ROW]
[ROW][C]94[/C][C]1054[/C][C]1075.23629037563[/C][C]-21.2362903756319[/C][/ROW]
[ROW][C]95[/C][C]937[/C][C]862.420692400162[/C][C]74.5793075998385[/C][/ROW]
[ROW][C]96[/C][C]3004[/C][C]3249.08635180901[/C][C]-245.086351809015[/C][/ROW]
[ROW][C]97[/C][C]2008[/C][C]1976.64751349823[/C][C]31.352486501768[/C][/ROW]
[ROW][C]98[/C][C]2547[/C][C]2406.01897559949[/C][C]140.981024400506[/C][/ROW]
[ROW][C]99[/C][C]1885[/C][C]1774.23402667668[/C][C]110.765973323324[/C][/ROW]
[ROW][C]100[/C][C]1626[/C][C]1619.94994335134[/C][C]6.05005664865897[/C][/ROW]
[ROW][C]101[/C][C]1468[/C][C]1378.30101200559[/C][C]89.698987994413[/C][/ROW]
[ROW][C]102[/C][C]2445[/C][C]2299.08334491833[/C][C]145.916655081667[/C][/ROW]
[ROW][C]103[/C][C]1964[/C][C]2094.06565203435[/C][C]-130.065652034348[/C][/ROW]
[ROW][C]104[/C][C]1381[/C][C]1361.90746059396[/C][C]19.0925394060387[/C][/ROW]
[ROW][C]105[/C][C]1369[/C][C]1391.75884750208[/C][C]-22.7588475020818[/C][/ROW]
[ROW][C]106[/C][C]1659[/C][C]1790.76522878285[/C][C]-131.765228782848[/C][/ROW]
[ROW][C]107[/C][C]2888[/C][C]2665.51617895217[/C][C]222.483821047832[/C][/ROW]
[ROW][C]108[/C][C]1290[/C][C]1042.60675640843[/C][C]247.393243591573[/C][/ROW]
[ROW][C]109[/C][C]2845[/C][C]2921.28947344091[/C][C]-76.2894734409064[/C][/ROW]
[ROW][C]110[/C][C]1982[/C][C]1984.17220506962[/C][C]-2.17220506962319[/C][/ROW]
[ROW][C]111[/C][C]1904[/C][C]1950.33206947803[/C][C]-46.3320694780343[/C][/ROW]
[ROW][C]112[/C][C]1391[/C][C]1609.61294824188[/C][C]-218.612948241876[/C][/ROW]
[ROW][C]113[/C][C]602[/C][C]657.513129534528[/C][C]-55.5131295345281[/C][/ROW]
[ROW][C]114[/C][C]1743[/C][C]1678.72576544814[/C][C]64.274234551857[/C][/ROW]
[ROW][C]115[/C][C]1559[/C][C]1762.07744457442[/C][C]-203.077444574417[/C][/ROW]
[ROW][C]116[/C][C]2014[/C][C]2222.91612282124[/C][C]-208.91612282124[/C][/ROW]
[ROW][C]117[/C][C]2143[/C][C]2227.41010444185[/C][C]-84.4101044418463[/C][/ROW]
[ROW][C]118[/C][C]2146[/C][C]1966.36485515855[/C][C]179.635144841454[/C][/ROW]
[ROW][C]119[/C][C]874[/C][C]896.47339252168[/C][C]-22.4733925216797[/C][/ROW]
[ROW][C]120[/C][C]1590[/C][C]1488.34267530123[/C][C]101.657324698766[/C][/ROW]
[ROW][C]121[/C][C]1590[/C][C]1452.69113070458[/C][C]137.308869295418[/C][/ROW]
[ROW][C]122[/C][C]1210[/C][C]1288.04825678229[/C][C]-78.0482567822883[/C][/ROW]
[ROW][C]123[/C][C]2072[/C][C]2039.2771657543[/C][C]32.7228342457038[/C][/ROW]
[ROW][C]124[/C][C]1281[/C][C]1361.05088389558[/C][C]-80.0508838955785[/C][/ROW]
[ROW][C]125[/C][C]1401[/C][C]1375.11138706344[/C][C]25.8886129365632[/C][/ROW]
[ROW][C]126[/C][C]834[/C][C]794.583516078644[/C][C]39.4164839213558[/C][/ROW]
[ROW][C]127[/C][C]1105[/C][C]1136.63043266422[/C][C]-31.6304326642179[/C][/ROW]
[ROW][C]128[/C][C]1272[/C][C]1069.29659067616[/C][C]202.703409323837[/C][/ROW]
[ROW][C]129[/C][C]1944[/C][C]1839.13313581485[/C][C]104.866864185152[/C][/ROW]
[ROW][C]130[/C][C]391[/C][C]438.92252754117[/C][C]-47.9225275411704[/C][/ROW]
[ROW][C]131[/C][C]761[/C][C]730.670084469995[/C][C]30.3299155300049[/C][/ROW]
[ROW][C]132[/C][C]1605[/C][C]1660.76313715246[/C][C]-55.763137152459[/C][/ROW]
[ROW][C]133[/C][C]530[/C][C]635.623784539377[/C][C]-105.623784539377[/C][/ROW]
[ROW][C]134[/C][C]1988[/C][C]1709.68382444505[/C][C]278.316175554954[/C][/ROW]
[ROW][C]135[/C][C]1386[/C][C]1300.3867050766[/C][C]85.6132949233955[/C][/ROW]
[ROW][C]136[/C][C]2395[/C][C]2526.22761678867[/C][C]-131.22761678867[/C][/ROW]
[ROW][C]137[/C][C]387[/C][C]423.356808870892[/C][C]-36.356808870892[/C][/ROW]
[ROW][C]138[/C][C]1742[/C][C]1784.15621152611[/C][C]-42.1562115261089[/C][/ROW]
[ROW][C]139[/C][C]620[/C][C]573.006708853044[/C][C]46.9932911469558[/C][/ROW]
[ROW][C]140[/C][C]449[/C][C]585.175984055857[/C][C]-136.175984055857[/C][/ROW]
[ROW][C]141[/C][C]800[/C][C]832.831766432847[/C][C]-32.8317664328465[/C][/ROW]
[ROW][C]142[/C][C]1684[/C][C]1477.49419639367[/C][C]206.505803606327[/C][/ROW]
[ROW][C]143[/C][C]1050[/C][C]1102.76149881678[/C][C]-52.7614988167821[/C][/ROW]
[ROW][C]144[/C][C]2699[/C][C]2620.76925095878[/C][C]78.2307490412247[/C][/ROW]
[ROW][C]145[/C][C]1606[/C][C]1542.59191919034[/C][C]63.4080808096556[/C][/ROW]
[ROW][C]146[/C][C]1502[/C][C]1276.846427967[/C][C]225.153572032995[/C][/ROW]
[ROW][C]147[/C][C]1204[/C][C]1268.63042258956[/C][C]-64.6304225895581[/C][/ROW]
[ROW][C]148[/C][C]1138[/C][C]1121.10551375891[/C][C]16.8944862410858[/C][/ROW]
[ROW][C]149[/C][C]568[/C][C]815.299227681093[/C][C]-247.299227681093[/C][/ROW]
[ROW][C]150[/C][C]1459[/C][C]1429.55205627766[/C][C]29.4479437223398[/C][/ROW]
[ROW][C]151[/C][C]2158[/C][C]2214.2313634207[/C][C]-56.2313634207035[/C][/ROW]
[ROW][C]152[/C][C]1111[/C][C]1208.35607420316[/C][C]-97.3560742031642[/C][/ROW]
[ROW][C]153[/C][C]1421[/C][C]1299.55632948828[/C][C]121.443670511721[/C][/ROW]
[ROW][C]154[/C][C]2833[/C][C]3110.08051838299[/C][C]-277.080518382989[/C][/ROW]
[ROW][C]155[/C][C]1955[/C][C]2105.50657740751[/C][C]-150.506577407509[/C][/ROW]
[ROW][C]156[/C][C]2922[/C][C]2775.02423109819[/C][C]146.975768901812[/C][/ROW]
[ROW][C]157[/C][C]1002[/C][C]1143.31532302432[/C][C]-141.315323024316[/C][/ROW]
[ROW][C]158[/C][C]1060[/C][C]1157.74451198272[/C][C]-97.7445119827203[/C][/ROW]
[ROW][C]159[/C][C]956[/C][C]989.457410530172[/C][C]-33.4574105301715[/C][/ROW]
[ROW][C]160[/C][C]2186[/C][C]2609.068818403[/C][C]-423.068818403[/C][/ROW]
[ROW][C]161[/C][C]3604[/C][C]3363.46720894929[/C][C]240.532791050705[/C][/ROW]
[ROW][C]162[/C][C]1035[/C][C]1066.46943890935[/C][C]-31.469438909349[/C][/ROW]
[ROW][C]163[/C][C]1417[/C][C]1513.15297408782[/C][C]-96.1529740878246[/C][/ROW]
[ROW][C]164[/C][C]3261[/C][C]3459.05911793221[/C][C]-198.059117932211[/C][/ROW]
[ROW][C]165[/C][C]1587[/C][C]1629.83570320374[/C][C]-42.8357032037391[/C][/ROW]
[ROW][C]166[/C][C]1424[/C][C]1450.40772587929[/C][C]-26.4077258792928[/C][/ROW]
[ROW][C]167[/C][C]1701[/C][C]1786.57019825372[/C][C]-85.570198253718[/C][/ROW]
[ROW][C]168[/C][C]1249[/C][C]1379.69384230972[/C][C]-130.693842309725[/C][/ROW]
[ROW][C]169[/C][C]946[/C][C]923.980272094771[/C][C]22.0197279052291[/C][/ROW]
[ROW][C]170[/C][C]1926[/C][C]1779.79619616024[/C][C]146.203803839763[/C][/ROW]
[ROW][C]171[/C][C]3352[/C][C]3310.28466191378[/C][C]41.7153380862171[/C][/ROW]
[ROW][C]172[/C][C]1641[/C][C]1679.26457335666[/C][C]-38.2645733566568[/C][/ROW]
[ROW][C]173[/C][C]2035[/C][C]1786.90096090751[/C][C]248.099039092489[/C][/ROW]
[ROW][C]174[/C][C]2312[/C][C]2154.53444964324[/C][C]157.465550356761[/C][/ROW]
[ROW][C]175[/C][C]1369[/C][C]1559.48235360557[/C][C]-190.48235360557[/C][/ROW]
[ROW][C]176[/C][C]1577[/C][C]1590.29587635287[/C][C]-13.2958763528736[/C][/ROW]
[ROW][C]177[/C][C]2201[/C][C]2167.19761838576[/C][C]33.8023816142424[/C][/ROW]
[ROW][C]178[/C][C]961[/C][C]944.143210409802[/C][C]16.8567895901976[/C][/ROW]
[ROW][C]179[/C][C]1900[/C][C]1867.37288827413[/C][C]32.6271117258665[/C][/ROW]
[ROW][C]180[/C][C]1254[/C][C]1253.65921913271[/C][C]0.340780867293777[/C][/ROW]
[ROW][C]181[/C][C]1335[/C][C]1280.7189731654[/C][C]54.2810268345997[/C][/ROW]
[ROW][C]182[/C][C]1597[/C][C]1481.17305973727[/C][C]115.826940262727[/C][/ROW]
[ROW][C]183[/C][C]207[/C][C]291.116030707315[/C][C]-84.1160307073145[/C][/ROW]
[ROW][C]184[/C][C]1645[/C][C]1569.3079728644[/C][C]75.6920271355965[/C][/ROW]
[ROW][C]185[/C][C]2429[/C][C]2357.69531365868[/C][C]71.3046863413226[/C][/ROW]
[ROW][C]186[/C][C]151[/C][C]257.798951800938[/C][C]-106.798951800938[/C][/ROW]
[ROW][C]187[/C][C]474[/C][C]664.549677433606[/C][C]-190.549677433606[/C][/ROW]
[ROW][C]188[/C][C]141[/C][C]246.30813909942[/C][C]-105.30813909942[/C][/ROW]
[ROW][C]189[/C][C]1639[/C][C]1374.71465220085[/C][C]264.285347799148[/C][/ROW]
[ROW][C]190[/C][C]872[/C][C]843.415458307769[/C][C]28.5845416922311[/C][/ROW]
[ROW][C]191[/C][C]1318[/C][C]1237.83791020384[/C][C]80.1620897961619[/C][/ROW]
[ROW][C]192[/C][C]1018[/C][C]1170.35703336397[/C][C]-152.357033363971[/C][/ROW]
[ROW][C]193[/C][C]1383[/C][C]1300.76494639283[/C][C]82.2350536071671[/C][/ROW]
[ROW][C]194[/C][C]1314[/C][C]1152.08937489969[/C][C]161.910625100312[/C][/ROW]
[ROW][C]195[/C][C]1335[/C][C]1349.40638686877[/C][C]-14.4063868687695[/C][/ROW]
[ROW][C]196[/C][C]1403[/C][C]1319.04740827871[/C][C]83.9525917212883[/C][/ROW]
[ROW][C]197[/C][C]910[/C][C]997.865155763605[/C][C]-87.8651557636053[/C][/ROW]
[ROW][C]198[/C][C]616[/C][C]663.358455716719[/C][C]-47.3584557167194[/C][/ROW]
[ROW][C]199[/C][C]1407[/C][C]1436.89015427656[/C][C]-29.8901542765607[/C][/ROW]
[ROW][C]200[/C][C]771[/C][C]806.833271963784[/C][C]-35.8332719637839[/C][/ROW]
[ROW][C]201[/C][C]766[/C][C]785.386553707469[/C][C]-19.3865537074691[/C][/ROW]
[ROW][C]202[/C][C]473[/C][C]488.295279348178[/C][C]-15.2952793481782[/C][/ROW]
[ROW][C]203[/C][C]1376[/C][C]1424.01665095776[/C][C]-48.0166509577551[/C][/ROW]
[ROW][C]204[/C][C]1232[/C][C]1216.19436935221[/C][C]15.8056306477947[/C][/ROW]
[ROW][C]205[/C][C]1521[/C][C]1497.84035251161[/C][C]23.1596474883919[/C][/ROW]
[ROW][C]206[/C][C]572[/C][C]577.106609139827[/C][C]-5.10660913982705[/C][/ROW]
[ROW][C]207[/C][C]1059[/C][C]904.193629693786[/C][C]154.806370306214[/C][/ROW]
[ROW][C]208[/C][C]1544[/C][C]1586.86992933534[/C][C]-42.869929335341[/C][/ROW]
[ROW][C]209[/C][C]1230[/C][C]1207.84872697169[/C][C]22.1512730283089[/C][/ROW]
[ROW][C]210[/C][C]1206[/C][C]1211.49187440427[/C][C]-5.49187440426856[/C][/ROW]
[ROW][C]211[/C][C]1205[/C][C]1110.65393297624[/C][C]94.3460670237649[/C][/ROW]
[ROW][C]212[/C][C]1255[/C][C]1011.74950271245[/C][C]243.250497287554[/C][/ROW]
[ROW][C]213[/C][C]613[/C][C]609.825173232218[/C][C]3.17482676778229[/C][/ROW]
[ROW][C]214[/C][C]721[/C][C]815.331117644856[/C][C]-94.3311176448561[/C][/ROW]
[ROW][C]215[/C][C]1109[/C][C]1029.81124336796[/C][C]79.1887566320395[/C][/ROW]
[ROW][C]216[/C][C]740[/C][C]701.247457641891[/C][C]38.7525423581093[/C][/ROW]
[ROW][C]217[/C][C]1126[/C][C]1124.82299210959[/C][C]1.17700789041109[/C][/ROW]
[ROW][C]218[/C][C]728[/C][C]798.192366602585[/C][C]-70.1923666025853[/C][/ROW]
[ROW][C]219[/C][C]689[/C][C]722.716908122899[/C][C]-33.7169081228991[/C][/ROW]
[ROW][C]220[/C][C]592[/C][C]616.39874731583[/C][C]-24.3987473158302[/C][/ROW]
[ROW][C]221[/C][C]995[/C][C]916.292120754134[/C][C]78.7078792458656[/C][/ROW]
[ROW][C]222[/C][C]1613[/C][C]1193.10325749688[/C][C]419.896742503119[/C][/ROW]
[ROW][C]223[/C][C]2048[/C][C]1751.69889805827[/C][C]296.301101941728[/C][/ROW]
[ROW][C]224[/C][C]705[/C][C]636.748940985018[/C][C]68.2510590149824[/C][/ROW]
[ROW][C]225[/C][C]301[/C][C]395.4860758989[/C][C]-94.4860758988997[/C][/ROW]
[ROW][C]226[/C][C]1803[/C][C]1719.61718593919[/C][C]83.3828140608124[/C][/ROW]
[ROW][C]227[/C][C]799[/C][C]822.302783605913[/C][C]-23.3027836059134[/C][/ROW]
[ROW][C]228[/C][C]861[/C][C]942.629858373545[/C][C]-81.6298583735453[/C][/ROW]
[ROW][C]229[/C][C]1186[/C][C]1052.81156834985[/C][C]133.18843165015[/C][/ROW]
[ROW][C]230[/C][C]1451[/C][C]1116.54700214055[/C][C]334.452997859446[/C][/ROW]
[ROW][C]231[/C][C]628[/C][C]574.449681902166[/C][C]53.5503180978336[/C][/ROW]
[ROW][C]232[/C][C]1161[/C][C]973.923609045986[/C][C]187.076390954014[/C][/ROW]
[ROW][C]233[/C][C]1463[/C][C]1344.73307442694[/C][C]118.26692557306[/C][/ROW]
[ROW][C]234[/C][C]742[/C][C]716.324061020083[/C][C]25.6759389799166[/C][/ROW]
[ROW][C]235[/C][C]979[/C][C]1062.58568124724[/C][C]-83.585681247235[/C][/ROW]
[ROW][C]236[/C][C]675[/C][C]698.46160022629[/C][C]-23.4616002262903[/C][/ROW]
[ROW][C]237[/C][C]1241[/C][C]1185.97068458536[/C][C]55.0293154146365[/C][/ROW]
[ROW][C]238[/C][C]676[/C][C]650.901088177888[/C][C]25.098911822112[/C][/ROW]
[ROW][C]239[/C][C]1049[/C][C]1053.66367910988[/C][C]-4.66367910988244[/C][/ROW]
[ROW][C]240[/C][C]620[/C][C]681.008273239585[/C][C]-61.0082732395853[/C][/ROW]
[ROW][C]241[/C][C]1081[/C][C]971.261967413274[/C][C]109.738032586726[/C][/ROW]
[ROW][C]242[/C][C]1688[/C][C]1460.86006720611[/C][C]227.13993279389[/C][/ROW]
[ROW][C]243[/C][C]736[/C][C]749.941334911283[/C][C]-13.9413349112834[/C][/ROW]
[ROW][C]244[/C][C]617[/C][C]679.239865204535[/C][C]-62.2398652045354[/C][/ROW]
[ROW][C]245[/C][C]812[/C][C]851.866446570139[/C][C]-39.8664465701388[/C][/ROW]
[ROW][C]246[/C][C]1051[/C][C]1036.60069488804[/C][C]14.3993051119644[/C][/ROW]
[ROW][C]247[/C][C]1656[/C][C]1409.43450058269[/C][C]246.565499417305[/C][/ROW]
[ROW][C]248[/C][C]705[/C][C]780.130945784827[/C][C]-75.1309457848268[/C][/ROW]
[ROW][C]249[/C][C]945[/C][C]1021.94632767261[/C][C]-76.9463276726065[/C][/ROW]
[ROW][C]250[/C][C]554[/C][C]648.821263204527[/C][C]-94.8212632045266[/C][/ROW]
[ROW][C]251[/C][C]1597[/C][C]1588.82029683736[/C][C]8.179703162638[/C][/ROW]
[ROW][C]252[/C][C]982[/C][C]972.672524970054[/C][C]9.32747502994628[/C][/ROW]
[ROW][C]253[/C][C]222[/C][C]301.724132281192[/C][C]-79.7241322811924[/C][/ROW]
[ROW][C]254[/C][C]1212[/C][C]1222.64843158286[/C][C]-10.648431582863[/C][/ROW]
[ROW][C]255[/C][C]1143[/C][C]1201.39592198041[/C][C]-58.395921980411[/C][/ROW]
[ROW][C]256[/C][C]435[/C][C]514.815217157796[/C][C]-79.8152171577963[/C][/ROW]
[ROW][C]257[/C][C]532[/C][C]539.514284357615[/C][C]-7.51428435761497[/C][/ROW]
[ROW][C]258[/C][C]882[/C][C]951.647355298921[/C][C]-69.6473552989207[/C][/ROW]
[ROW][C]259[/C][C]608[/C][C]619.534753595846[/C][C]-11.5347535958459[/C][/ROW]
[ROW][C]260[/C][C]459[/C][C]463.208276893923[/C][C]-4.20827689392281[/C][/ROW]
[ROW][C]261[/C][C]578[/C][C]601.317904145629[/C][C]-23.3179041456286[/C][/ROW]
[ROW][C]262[/C][C]826[/C][C]789.371625666624[/C][C]36.6283743333758[/C][/ROW]
[ROW][C]263[/C][C]509[/C][C]448.311952138825[/C][C]60.6880478611746[/C][/ROW]
[ROW][C]264[/C][C]717[/C][C]658.631842492463[/C][C]58.3681575075373[/C][/ROW]
[ROW][C]265[/C][C]637[/C][C]689.337558315999[/C][C]-52.3375583159991[/C][/ROW]
[ROW][C]266[/C][C]857[/C][C]838.543368401301[/C][C]18.4566315986992[/C][/ROW]
[ROW][C]267[/C][C]830[/C][C]870.607259560173[/C][C]-40.6072595601728[/C][/ROW]
[ROW][C]268[/C][C]652[/C][C]806.031741065527[/C][C]-154.031741065527[/C][/ROW]
[ROW][C]269[/C][C]707[/C][C]802.087814969908[/C][C]-95.0878149699081[/C][/ROW]
[ROW][C]270[/C][C]954[/C][C]1024.09880829556[/C][C]-70.0988082955583[/C][/ROW]
[ROW][C]271[/C][C]1461[/C][C]1307.59478223994[/C][C]153.405217760059[/C][/ROW]
[ROW][C]272[/C][C]672[/C][C]738.330447600087[/C][C]-66.3304476000872[/C][/ROW]
[ROW][C]273[/C][C]778[/C][C]796.582444446752[/C][C]-18.5824444467518[/C][/ROW]
[ROW][C]274[/C][C]1141[/C][C]1121.52376338305[/C][C]19.4762366169471[/C][/ROW]
[ROW][C]275[/C][C]680[/C][C]627.139307501241[/C][C]52.8606924987589[/C][/ROW]
[ROW][C]276[/C][C]1090[/C][C]981.047813536147[/C][C]108.952186463853[/C][/ROW]
[ROW][C]277[/C][C]616[/C][C]539.526759615339[/C][C]76.4732403846608[/C][/ROW]
[ROW][C]278[/C][C]285[/C][C]329.460698932469[/C][C]-44.460698932469[/C][/ROW]
[ROW][C]279[/C][C]1145[/C][C]1019.06323795814[/C][C]125.936762041861[/C][/ROW]
[ROW][C]280[/C][C]733[/C][C]765.072017372116[/C][C]-32.0720173721159[/C][/ROW]
[ROW][C]281[/C][C]888[/C][C]886.933674835115[/C][C]1.06632516488476[/C][/ROW]
[ROW][C]282[/C][C]849[/C][C]860.400473705235[/C][C]-11.4004737052346[/C][/ROW]
[ROW][C]283[/C][C]1182[/C][C]1144.30995882451[/C][C]37.6900411754919[/C][/ROW]
[ROW][C]284[/C][C]528[/C][C]558.801281425516[/C][C]-30.8012814255164[/C][/ROW]
[ROW][C]285[/C][C]642[/C][C]711.098210406776[/C][C]-69.0982104067756[/C][/ROW]
[ROW][C]286[/C][C]947[/C][C]559.305221409303[/C][C]387.694778590697[/C][/ROW]
[ROW][C]287[/C][C]819[/C][C]686.167069013706[/C][C]132.832930986294[/C][/ROW]
[ROW][C]288[/C][C]757[/C][C]678.117254416506[/C][C]78.8827455834936[/C][/ROW]
[ROW][C]289[/C][C]894[/C][C]860.472249967664[/C][C]33.5277500323359[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201010&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201010&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
114181360.3201171584757.6798828415254
28691080.19190063619-211.19190063619
315301603.31552756667-73.3155275666703
421722571.4575428043-399.457542804304
5901896.637834440284.36216555972042
6463543.635971032799-80.6359710327992
732013620.35352383831-419.353523838306
8371438.300831746906-67.3008317469059
911921173.7915663887218.2084336112757
1015831675.37842474892-92.378424748917
1114391389.7062727657849.2937272342206
1217641884.50576197381-120.50576197381
1314951563.22071693351-68.2207169335111
1413731447.45340120655-74.4534012065509
1521872293.08865026955-106.088650269554
1614911497.84058769572-6.84058769571535
1740413727.0771922781313.922807721903
1817061727.38071398629-21.3807139862877
1921522383.34794830516-231.34794830516
2010361169.58684297903-133.58684297903
2118821709.28341638211172.71658361789
2219291822.54170173288106.458298267116
2322422459.28504899363-217.285048993632
2412201175.3443955544344.6556044455699
2512891299.22197031463-10.2219703146295
2625152607.35053696839-92.3505369683935
2721472143.765799834143.23420016585712
2823522434.0178129502-82.0178129502032
2916381610.3016891856927.6983108143104
3012221266.38717267984-44.3871726798406
3118121911.30043644159-99.3004364415871
3216771773.55038588949-96.5503858894943
3315791537.8003210327741.199678967233
3417311852.91588376466-121.915883764663
35807853.560203257359-46.5602032573592
3624522521.09856074104-69.0985607410435
37829793.12066003011935.8793399698815
3819402019.31539849652-79.3153984965198
3926622462.62141132686199.378588673138
40186279.049655769596-93.0496557695962
4114991494.957064768034.04293523197263
42865805.5378653638959.4621346361095
4317931533.85761157563259.14238842437
4425272567.8009628935-40.8009628935017
4527472963.94452084675-216.94452084675
4613241530.24612039212-206.246120392118
4727022395.70017231502306.299827684982
4813831532.34466834708-149.344668347084
4911791047.02882722228131.971172777723
5020992038.9684894609560.0315105390456
5143084755.83703089099-447.837030890994
52918972.06871550427-54.0687155042704
5318311650.51532162719180.484678372807
5433733003.8010475813369.198952418698
5517131865.85299380424-152.852993804242
5614381389.6037491456848.3962508543201
57496609.871879297809-113.871879297809
5822532728.16243305047-475.162433050465
59744733.39588138603510.6041186139653
6011611327.39485845083-166.394858450833
6123522164.99452181618187.005478183821
6221441758.653129608385.346870392002
6346913497.392143176141193.60785682386
6411121107.030204773444.96979522656085
6526942531.44191034177162.558089658228
6619732259.63293606379-286.632936063794
6717691888.86527693973-119.865276939732
6831482843.30483440899304.695165591015
6924742550.72279210972-76.722792109721
7020842209.93356904113-125.933569041126
7119541881.7562061616572.2437938383542
7212261424.21082748671-198.210827486715
7313891236.4861144175152.513885582504
7414961536.42172274506-40.4217227450625
7522692140.62632859121128.373671408794
7618331919.32112899545-86.3211289954541
7712681450.24052382726-182.240523827257
7819431808.89102081119134.108979188813
798931054.92087927982-161.920879279822
8017621653.05673714934108.94326285066
8114031662.82052323683-259.820523236833
8214251443.08311946244-18.0831194624371
8318572209.729429868-352.729429868005
8418402003.56510395607-163.565103956067
8515021456.59135387645.4086461240029
8614411371.2721663177769.7278336822318
8714201495.22766225152-75.2276622515159
8814161345.1694833504870.8305166495166
8929702682.73581614247287.264183857535
9013171643.11848847195-326.118488471952
9116441464.65372552389179.346274476112
928701113.27475677267-243.274756772669
9316541844.25325906511-190.253259065112
9410541075.23629037563-21.2362903756319
95937862.42069240016274.5793075998385
9630043249.08635180901-245.086351809015
9720081976.6475134982331.352486501768
9825472406.01897559949140.981024400506
9918851774.23402667668110.765973323324
10016261619.949943351346.05005664865897
10114681378.3010120055989.698987994413
10224452299.08334491833145.916655081667
10319642094.06565203435-130.065652034348
10413811361.9074605939619.0925394060387
10513691391.75884750208-22.7588475020818
10616591790.76522878285-131.765228782848
10728882665.51617895217222.483821047832
10812901042.60675640843247.393243591573
10928452921.28947344091-76.2894734409064
11019821984.17220506962-2.17220506962319
11119041950.33206947803-46.3320694780343
11213911609.61294824188-218.612948241876
113602657.513129534528-55.5131295345281
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12514011375.1113870634425.8886129365632
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12711051136.63043266422-31.6304326642179
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131761730.67008446999530.3299155300049
13216051660.76313715246-55.763137152459
133530635.623784539377-105.623784539377
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14516061542.5919191903463.4080808096556
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15014591429.5520562776629.4479437223398
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15314211299.55632948828121.443670511721
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15519552105.50657740751-150.506577407509
15629222775.02423109819146.975768901812
15710021143.31532302432-141.315323024316
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16314171513.15297408782-96.1529740878246
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16717011786.57019825372-85.570198253718
16812491379.69384230972-130.693842309725
169946923.98027209477122.0197279052291
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17919001867.3728882741332.6271117258665
18012541253.659219132710.340780867293777
18113351280.718973165454.2810268345997
18215971481.17305973727115.826940262727
183207291.116030707315-84.1160307073145
18416451569.307972864475.6920271355965
18524292357.6953136586871.3046863413226
186151257.798951800938-106.798951800938
187474664.549677433606-190.549677433606
188141246.30813909942-105.30813909942
18916391374.71465220085264.285347799148
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19113181237.8379102038480.1620897961619
19210181170.35703336397-152.357033363971
19313831300.7649463928382.2350536071671
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19513351349.40638686877-14.4063868687695
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197910997.865155763605-87.8651557636053
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19914071436.89015427656-29.8901542765607
200771806.833271963784-35.8332719637839
201766785.386553707469-19.3865537074691
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20313761424.01665095776-48.0166509577551
20412321216.1943693522115.8056306477947
20515211497.8403525116123.1596474883919
206572577.106609139827-5.10660913982705
2071059904.193629693786154.806370306214
20815441586.86992933534-42.869929335341
20912301207.8487269716922.1512730283089
21012061211.49187440427-5.49187440426856
21112051110.6539329762494.3460670237649
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213613609.8251732322183.17482676778229
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21511091029.8112433679679.1887566320395
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21711261124.822992109591.17700789041109
218728798.192366602585-70.1923666025853
219689722.716908122899-33.7169081228991
220592616.39874731583-24.3987473158302
221995916.29212075413478.7078792458656
22216131193.10325749688419.896742503119
22320481751.69889805827296.301101941728
224705636.74894098501868.2510590149824
225301395.4860758989-94.4860758988997
22618031719.6171859391983.3828140608124
227799822.302783605913-23.3027836059134
228861942.629858373545-81.6298583735453
22911861052.81156834985133.18843165015
23014511116.54700214055334.452997859446
231628574.44968190216653.5503180978336
2321161973.923609045986187.076390954014
23314631344.73307442694118.26692557306
234742716.32406102008325.6759389799166
2359791062.58568124724-83.585681247235
236675698.46160022629-23.4616002262903
23712411185.9706845853655.0293154146365
238676650.90108817788825.098911822112
23910491053.66367910988-4.66367910988244
240620681.008273239585-61.0082732395853
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24216881460.86006720611227.13993279389
243736749.941334911283-13.9413349112834
244617679.239865204535-62.2398652045354
245812851.866446570139-39.8664465701388
24610511036.6006948880414.3993051119644
24716561409.43450058269246.565499417305
248705780.130945784827-75.1309457848268
2499451021.94632767261-76.9463276726065
250554648.821263204527-94.8212632045266
25115971588.820296837368.179703162638
252982972.6725249700549.32747502994628
253222301.724132281192-79.7241322811924
25412121222.64843158286-10.648431582863
25511431201.39592198041-58.395921980411
256435514.815217157796-79.8152171577963
257532539.514284357615-7.51428435761497
258882951.647355298921-69.6473552989207
259608619.534753595846-11.5347535958459
260459463.208276893923-4.20827689392281
261578601.317904145629-23.3179041456286
262826789.37162566662436.6283743333758
263509448.31195213882560.6880478611746
264717658.63184249246358.3681575075373
265637689.337558315999-52.3375583159991
266857838.54336840130118.4566315986992
267830870.607259560173-40.6072595601728
268652806.031741065527-154.031741065527
269707802.087814969908-95.0878149699081
2709541024.09880829556-70.0988082955583
27114611307.59478223994153.405217760059
272672738.330447600087-66.3304476000872
273778796.582444446752-18.5824444467518
27411411121.5237633830519.4762366169471
275680627.13930750124152.8606924987589
2761090981.047813536147108.952186463853
277616539.52675961533976.4732403846608
278285329.460698932469-44.460698932469
27911451019.06323795814125.936762041861
280733765.072017372116-32.0720173721159
281888886.9336748351151.06632516488476
282849860.400473705235-11.4004737052346
28311821144.3099588245137.6900411754919
284528558.801281425516-30.8012814255164
285642711.098210406776-69.0982104067756
286947559.305221409303387.694778590697
287819686.167069013706132.832930986294
288757678.11725441650678.8827455834936
289894860.47224996766433.5277500323359






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
120.1639842723298320.3279685446596640.836015727670168
130.3186677703796250.6373355407592490.681332229620375
140.195076890085920.3901537801718410.80492310991408
150.1125562597639460.2251125195278930.887443740236054
160.07197141503560580.1439428300712120.928028584964394
170.8712919103028910.2574161793942190.128708089697109
180.8283263644286510.3433472711426990.171673635571349
190.8406146229285470.3187707541429050.159385377071452
200.8008721383428470.3982557233143060.199127861657153
210.8150254037456150.369949192508770.184974596254385
220.7728627131606450.454274573678710.227137286839355
230.7249820741532680.5500358516934640.275017925846732
240.706972095886260.5860558082274810.29302790411374
250.6456102814381250.7087794371237490.354389718561875
260.5815046963995510.8369906072008980.418495303600449
270.5235168371714380.9529663256571230.476483162828562
280.4589382860077960.9178765720155920.541061713992204
290.395948124653450.7918962493069010.60405187534655
300.3347355603457110.6694711206914230.665264439654289
310.2829182737365430.5658365474730870.717081726263457
320.2462590912495770.4925181824991540.753740908750423
330.2036620628814460.4073241257628910.796337937118554
340.2195112049917960.4390224099835920.780488795008204
350.1776247570187330.3552495140374650.822375242981267
360.146648861380750.2932977227615010.85335113861925
370.1340393866332990.2680787732665970.865960613366701
380.1079073600503690.2158147201007370.892092639949631
390.1583661028902030.3167322057804060.841633897109797
400.1279639025660520.2559278051321040.872036097433948
410.101746463890030.2034929277800610.89825353610997
420.09348524585826820.1869704917165360.906514754141732
430.1591746814807860.3183493629615720.840825318519214
440.131519019818380.263038039636760.86848098018162
450.1201030293512430.2402060587024860.879896970648757
460.1272434583338080.2544869166676160.872756541666192
470.259055168734040.518110337468080.74094483126596
480.2416513211048380.4833026422096760.758348678895162
490.2521856339496970.5043712678993940.747814366050303
500.2205619121709870.4411238243419730.779438087829013
510.3152856596773820.6305713193547650.684714340322618
520.2803591034692420.5607182069384840.719640896530758
530.2820898600857990.5641797201715970.717910139914201
540.6671254042673480.6657491914653030.332874595732652
550.6452072056392610.7095855887214780.354792794360739
560.6050496433912340.7899007132175320.394950356608766
570.5697369155847480.8605261688305030.430263084415252
580.8102265723495630.3795468553008750.189773427650438
590.7819871839689570.4360256320620860.218012816031043
600.764829908854380.470340182291240.23517009114562
610.7878194610389540.4243610779220920.212180538961046
620.9039406934346540.1921186131306920.0960593065653459
630.9999999999553928.92165685012886e-114.46082842506443e-11
640.9999999999160751.67849037037148e-108.3924518518574e-11
650.9999999999023271.9534508171444e-109.76725408572198e-11
660.9999999999769444.61112030235386e-112.30556015117693e-11
670.9999999999672546.54917412718987e-113.27458706359493e-11
680.9999999999920441.59126102279674e-117.95630511398372e-12
690.9999999999872062.55885775873679e-111.2794288793684e-11
700.9999999999810973.78061454445422e-111.89030727222711e-11
710.9999999999710365.79283427722968e-112.89641713861484e-11
720.9999999999744545.10920515738382e-112.55460257869191e-11
730.9999999999707985.8404637958201e-112.92023189791005e-11
740.99999999994731.05399189089022e-105.26995945445109e-11
750.9999999999345441.3091239684819e-106.54561984240949e-11
760.9999999999019821.96035153710111e-109.80175768550557e-11
770.9999999999149171.70165993395667e-108.50829966978337e-11
780.9999999999079711.84058303258479e-109.20291516292394e-11
790.9999999998995922.00815470998653e-101.00407735499326e-10
800.9999999998631912.73618851165632e-101.36809425582816e-10
810.9999999999397161.20567526684661e-106.02837633423306e-11
820.999999999891182.17639761530646e-101.08819880765323e-10
830.9999999999879932.40132778850805e-111.20066389425402e-11
840.9999999999875572.48856100208402e-111.24428050104201e-11
850.9999999999780814.38384208201909e-112.19192104100954e-11
860.999999999964647.07193419969313e-113.53596709984656e-11
870.999999999942891.14220086796023e-105.71100433980114e-11
880.9999999999111571.7768650677997e-108.88432533899851e-11
890.9999999999726345.47313085785098e-112.73656542892549e-11
900.9999999999955998.80248558925917e-124.40124279462959e-12
910.9999999999960437.91307895711409e-123.95653947855705e-12
920.9999999999977994.40235097602976e-122.20117548801488e-12
930.9999999999984693.06105533834311e-121.53052766917156e-12
940.999999999997245.52039941422288e-122.76019970711144e-12
950.9999999999958058.38897075038473e-124.19448537519236e-12
960.999999999998832.33894734942918e-121.16947367471459e-12
970.999999999997894.21980180031251e-122.10990090015625e-12
980.9999999999976984.60379918194837e-122.30189959097418e-12
990.9999999999970445.91258432874882e-122.95629216437441e-12
1000.9999999999946561.06882548186974e-115.3441274093487e-12
1010.9999999999925031.49944734692581e-117.49723673462904e-12
1020.9999999999918241.63520935216578e-118.1760467608289e-12
1030.9999999999923351.53299464949273e-117.66497324746364e-12
1040.9999999999863662.72681339574359e-111.3634066978718e-11
1050.9999999999756454.87097802098014e-112.43548901049007e-11
1060.999999999970495.90198521860633e-112.95099260930316e-11
1070.9999999999790134.19733706499645e-112.09866853249822e-11
1080.9999999999925681.48645596274323e-117.43227981371614e-12
1090.9999999999889262.21487354905568e-111.10743677452784e-11
1100.9999999999800143.99720679106354e-111.99860339553177e-11
1110.9999999999662066.75883255453826e-113.37941627726913e-11
1120.9999999999764674.70654855401778e-112.35327427700889e-11
1130.999999999962937.41397729802943e-113.70698864901472e-11
1140.9999999999410691.1786184614659e-105.8930923073295e-11
1150.9999999999521959.56101189971797e-114.78050594985899e-11
1160.9999999999737995.2401202375794e-112.6200601187897e-11
1170.9999999999602287.9544458506079e-113.97722292530395e-11
1180.9999999999651596.96830050566932e-113.48415025283466e-11
1190.9999999999382031.23594645324137e-106.17973226620683e-11
1200.9999999999178851.64229692828272e-108.21148464141358e-11
1210.9999999999092461.81507566578139e-109.07537832890696e-11
1220.9999999998502012.99597782880109e-101.49798891440055e-10
1230.9999999997825144.34971861865909e-102.17485930932954e-10
1240.9999999996691396.6172171549095e-103.30860857745475e-10
1250.9999999994371891.12562158858813e-095.62810794294066e-10
1260.9999999990866431.82671461176133e-099.13357305880666e-10
1270.9999999985145722.97085550071111e-091.48542775035555e-09
1280.9999999989885822.02283539808722e-091.01141769904361e-09
1290.9999999988115542.37689289955627e-091.18844644977814e-09
1300.9999999980204313.95913691050944e-091.97956845525472e-09
1310.9999999968342246.33155233401602e-093.16577616700801e-09
1320.9999999948901171.02197664270988e-085.10988321354942e-09
1330.9999999931243811.37512388000538e-086.87561940002689e-09
1340.9999999977514934.49701310303808e-092.24850655151904e-09
1350.9999999968244656.35107068580767e-093.17553534290384e-09
1360.9999999963759097.24818274031625e-093.62409137015812e-09
1370.9999999940576571.18846868777601e-085.94234343888003e-09
1380.999999991652081.66958405373445e-088.34792026867226e-09
1390.999999987206262.55874802788475e-081.27937401394238e-08
1400.999999985119912.976017939143e-081.4880089695715e-08
1410.9999999757722144.84555725866336e-082.42277862933168e-08
1420.9999999853417882.93164247013932e-081.46582123506966e-08
1430.9999999786166234.27667531412017e-082.13833765706009e-08
1440.9999999678693376.42613258893457e-083.21306629446728e-08
1450.9999999502913029.94173957578021e-084.9708697878901e-08
1460.999999970540915.89181804945025e-082.94590902472513e-08
1470.9999999642203257.15593500360581e-083.57796750180291e-08
1480.9999999423825271.15234945402518e-075.7617472701259e-08
1490.9999999730912015.38175985626269e-082.69087992813134e-08
1500.9999999565748478.68503063793533e-084.34251531896767e-08
1510.9999999345676221.3086475527463e-076.54323776373152e-08
1520.9999999132478591.73504281818599e-078.67521409092993e-08
1530.9999999050603091.89879382353948e-079.49396911769741e-08
1540.9999999889300172.21399652364108e-081.10699826182054e-08
1550.999999990699751.86004996701883e-089.30024983509417e-09
1560.9999999874450282.51099432278546e-081.25549716139273e-08
1570.9999999893004772.1399045172006e-081.0699522586003e-08
1580.9999999907085041.85829930306824e-089.29149651534122e-09
1590.9999999847952583.04094846665436e-081.52047423332718e-08
1600.9999999998155073.68985940916952e-101.84492970458476e-10
1610.9999999998411013.17798140687251e-101.58899070343625e-10
1620.9999999998618542.76292343122505e-101.38146171561253e-10
1630.9999999998407993.18401604175863e-101.59200802087932e-10
1640.999999999954469.10807920954968e-114.55403960477484e-11
1650.9999999999402881.19423799783367e-105.97118998916833e-11
1660.9999999998956982.08603351372306e-101.04301675686153e-10
1670.9999999999148461.70308930004136e-108.51544650020681e-11
1680.999999999959078.1860767085669e-114.09303835428345e-11
1690.9999999999250471.49905893408566e-107.49529467042831e-11
1700.9999999998964992.07002488771718e-101.03501244385859e-10
1710.9999999999262221.47555952402989e-107.37779762014947e-11
1720.9999999998783722.43255968869688e-101.21627984434844e-10
1730.9999999999231681.53664037659962e-107.68320188299809e-11
1740.9999999998770162.45968039366362e-101.22984019683181e-10
1750.9999999999929171.41657548746998e-117.08287743734992e-12
1760.9999999999866852.66299522540309e-111.33149761270154e-11
1770.9999999999801763.96490421842205e-111.98245210921102e-11
1780.9999999999626727.46562421778128e-113.73281210889064e-11
1790.9999999999598348.033133638075e-114.0165668190375e-11
1800.9999999999320561.35887148477394e-106.79435742386971e-11
1810.999999999879032.41940111672681e-101.2097005583634e-10
1820.9999999998003813.99238535407718e-101.99619267703859e-10
1830.9999999996383227.2335530607574e-103.6167765303787e-10
1840.9999999993656331.2687337410485e-096.34366870524251e-10
1850.9999999994844691.03106190794715e-095.15530953973574e-10
1860.999999999086331.82733933682331e-099.13669668411657e-10
1870.9999999991036941.79261172689476e-098.96305863447382e-10
1880.9999999984027133.19457302561253e-091.59728651280627e-09
1890.9999999995342249.3155270892018e-104.6577635446009e-10
1900.9999999992180221.56395521533187e-097.81977607665936e-10
1910.9999999986064522.78709673082876e-091.39354836541438e-09
1920.9999999988320422.33591669327013e-091.16795834663506e-09
1930.9999999980003583.99928381119948e-091.99964190559974e-09
1940.999999996991386.01724016939515e-093.00862008469757e-09
1950.9999999957321168.5357685146628e-094.2678842573314e-09
1960.9999999925812781.48374433185106e-087.41872165925529e-09
1970.9999999904845821.90308353945043e-089.51541769725215e-09
1980.9999999842165853.15668306731034e-081.57834153365517e-08
1990.9999999805178913.89642178325611e-081.94821089162806e-08
2000.999999970082685.98346391130403e-082.99173195565202e-08
2010.9999999518543219.62913584587017e-084.81456792293509e-08
2020.9999999196193451.60761309747257e-078.03806548736284e-08
2030.9999998966030832.0679383325501e-071.03396916627505e-07
2040.9999998270495713.45900857904474e-071.72950428952237e-07
2050.9999997753187554.49362490372421e-072.2468124518621e-07
2060.9999996129484617.7410307788261e-073.87051538941305e-07
2070.9999996063563317.87287337156967e-073.93643668578484e-07
2080.999999515426979.69146060939209e-074.84573030469604e-07
2090.9999992034969671.59300606601553e-067.96503033007765e-07
2100.9999990885836481.82283270426087e-069.11416352130437e-07
2110.999998533963632.93207273968345e-061.46603636984172e-06
2120.9999993190592691.36188146179438e-066.80940730897192e-07
2130.999998825324482.34935103962798e-061.17467551981399e-06
2140.9999986830294272.63394114629366e-061.31697057314683e-06
2150.9999982720235163.45595296803741e-061.72797648401871e-06
2160.9999971225533015.75489339705015e-062.87744669852508e-06
2170.9999955169103878.96617922525293e-064.48308961262647e-06
2180.9999975475250434.90494991453758e-062.45247495726879e-06
2190.999997358518325.28296336080937e-062.64148168040468e-06
2200.9999954728273399.05434532266929e-064.52717266133464e-06
2210.9999927012279421.45975441162039e-057.29877205810193e-06
2220.9999979275549814.14489003907101e-062.0724450195355e-06
2230.9999985030242612.9939514775344e-061.4969757387672e-06
2240.9999976630303374.67393932585254e-062.33696966292627e-06
2250.9999967445124426.51097511659167e-063.25548755829584e-06
2260.9999944651988191.10696023623403e-055.53480118117015e-06
2270.9999904061762151.91876475694563e-059.59382378472816e-06
2280.9999914752309271.70495381451591e-058.52476907257956e-06
2290.999990044083611.99118327809377e-059.95591639046886e-06
2300.9999987529458972.49410820623369e-061.24705410311684e-06
2310.9999978471816954.30563660925668e-062.15281830462834e-06
2320.999998879569962.24086007901014e-061.12043003950507e-06
2330.9999986083237932.78335241502381e-061.39167620751191e-06
2340.9999975251713474.94965730660124e-062.47482865330062e-06
2350.9999971176653755.76466924966129e-062.88233462483064e-06
2360.9999950955688579.80886228597429e-064.90443114298714e-06
2370.9999914456320831.71087358348378e-058.55436791741892e-06
2380.9999845801016833.08397966330922e-051.54198983165461e-05
2390.9999721490119715.57019760576073e-052.78509880288036e-05
2400.9999592749650688.14500698639434e-054.07250349319717e-05
2410.9999546025971989.0794805603888e-054.5397402801944e-05
2420.9999843523551613.12952896771291e-051.56476448385646e-05
2430.9999708060048765.8387990247645e-052.91939951238225e-05
2440.9999634506425127.30987149751245e-053.65493574875623e-05
2450.9999394529525850.0001210940948302216.05470474151105e-05
2460.9998938645166680.0002122709666639090.000106135483331954
2470.9999872119917572.55760164868561e-051.2788008243428e-05
2480.9999793257372754.13485254492049e-052.06742627246025e-05
2490.9999604040221927.91919556155953e-053.95959778077976e-05
2500.9999283314060820.000143337187836517.16685939182551e-05
2510.9998719897296870.000256020540626520.00012801027031326
2520.9997634649348320.0004730701303350160.000236535065167508
2530.9995853441171470.0008293117657058820.000414655882852941
2540.9992510312656410.001497937468718640.000748968734359319
2550.9987776007034890.002444798593022380.00122239929651119
2560.9980237309889980.003952538022003510.00197626901100176
2570.9966312117678230.006737576464353550.00336878823217678
2580.9949003769666770.01019924606664650.00509962303332324
2590.9921518180564390.01569636388712270.00784818194356134
2600.9871720236650570.02565595266988590.0128279763349429
2610.9861808190992070.02763836180158570.0138191809007929
2620.9777748402069330.04445031958613370.0222251597930669
2630.9680618215775470.06387635684490580.0319381784224529
2640.9528143700184840.09437125996303260.0471856299815163
2650.9363621436707780.1272757126584430.0636378563292216
2660.9106207695956730.1787584608086550.0893792304043274
2670.8803432504625950.239313499074810.119656749537405
2680.8903148960807630.2193702078384730.109685103919237
2690.839679397350260.3206412052994790.16032060264974
2700.9349714098098330.1300571803803350.0650285901901675
2710.9201647199056510.1596705601886970.0798352800943486
2720.8980911399988090.2038177200023820.101908860001191
2730.860452959831290.2790940803374210.13954704016871
2740.8173285739320080.3653428521359830.182671426067992
2750.7099101121763780.5801797756472450.290089887823622
2760.9323304514918530.1353390970162930.0676695485081467
2770.8390583763612440.3218832472775110.160941623638756

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
12 & 0.163984272329832 & 0.327968544659664 & 0.836015727670168 \tabularnewline
13 & 0.318667770379625 & 0.637335540759249 & 0.681332229620375 \tabularnewline
14 & 0.19507689008592 & 0.390153780171841 & 0.80492310991408 \tabularnewline
15 & 0.112556259763946 & 0.225112519527893 & 0.887443740236054 \tabularnewline
16 & 0.0719714150356058 & 0.143942830071212 & 0.928028584964394 \tabularnewline
17 & 0.871291910302891 & 0.257416179394219 & 0.128708089697109 \tabularnewline
18 & 0.828326364428651 & 0.343347271142699 & 0.171673635571349 \tabularnewline
19 & 0.840614622928547 & 0.318770754142905 & 0.159385377071452 \tabularnewline
20 & 0.800872138342847 & 0.398255723314306 & 0.199127861657153 \tabularnewline
21 & 0.815025403745615 & 0.36994919250877 & 0.184974596254385 \tabularnewline
22 & 0.772862713160645 & 0.45427457367871 & 0.227137286839355 \tabularnewline
23 & 0.724982074153268 & 0.550035851693464 & 0.275017925846732 \tabularnewline
24 & 0.70697209588626 & 0.586055808227481 & 0.29302790411374 \tabularnewline
25 & 0.645610281438125 & 0.708779437123749 & 0.354389718561875 \tabularnewline
26 & 0.581504696399551 & 0.836990607200898 & 0.418495303600449 \tabularnewline
27 & 0.523516837171438 & 0.952966325657123 & 0.476483162828562 \tabularnewline
28 & 0.458938286007796 & 0.917876572015592 & 0.541061713992204 \tabularnewline
29 & 0.39594812465345 & 0.791896249306901 & 0.60405187534655 \tabularnewline
30 & 0.334735560345711 & 0.669471120691423 & 0.665264439654289 \tabularnewline
31 & 0.282918273736543 & 0.565836547473087 & 0.717081726263457 \tabularnewline
32 & 0.246259091249577 & 0.492518182499154 & 0.753740908750423 \tabularnewline
33 & 0.203662062881446 & 0.407324125762891 & 0.796337937118554 \tabularnewline
34 & 0.219511204991796 & 0.439022409983592 & 0.780488795008204 \tabularnewline
35 & 0.177624757018733 & 0.355249514037465 & 0.822375242981267 \tabularnewline
36 & 0.14664886138075 & 0.293297722761501 & 0.85335113861925 \tabularnewline
37 & 0.134039386633299 & 0.268078773266597 & 0.865960613366701 \tabularnewline
38 & 0.107907360050369 & 0.215814720100737 & 0.892092639949631 \tabularnewline
39 & 0.158366102890203 & 0.316732205780406 & 0.841633897109797 \tabularnewline
40 & 0.127963902566052 & 0.255927805132104 & 0.872036097433948 \tabularnewline
41 & 0.10174646389003 & 0.203492927780061 & 0.89825353610997 \tabularnewline
42 & 0.0934852458582682 & 0.186970491716536 & 0.906514754141732 \tabularnewline
43 & 0.159174681480786 & 0.318349362961572 & 0.840825318519214 \tabularnewline
44 & 0.13151901981838 & 0.26303803963676 & 0.86848098018162 \tabularnewline
45 & 0.120103029351243 & 0.240206058702486 & 0.879896970648757 \tabularnewline
46 & 0.127243458333808 & 0.254486916667616 & 0.872756541666192 \tabularnewline
47 & 0.25905516873404 & 0.51811033746808 & 0.74094483126596 \tabularnewline
48 & 0.241651321104838 & 0.483302642209676 & 0.758348678895162 \tabularnewline
49 & 0.252185633949697 & 0.504371267899394 & 0.747814366050303 \tabularnewline
50 & 0.220561912170987 & 0.441123824341973 & 0.779438087829013 \tabularnewline
51 & 0.315285659677382 & 0.630571319354765 & 0.684714340322618 \tabularnewline
52 & 0.280359103469242 & 0.560718206938484 & 0.719640896530758 \tabularnewline
53 & 0.282089860085799 & 0.564179720171597 & 0.717910139914201 \tabularnewline
54 & 0.667125404267348 & 0.665749191465303 & 0.332874595732652 \tabularnewline
55 & 0.645207205639261 & 0.709585588721478 & 0.354792794360739 \tabularnewline
56 & 0.605049643391234 & 0.789900713217532 & 0.394950356608766 \tabularnewline
57 & 0.569736915584748 & 0.860526168830503 & 0.430263084415252 \tabularnewline
58 & 0.810226572349563 & 0.379546855300875 & 0.189773427650438 \tabularnewline
59 & 0.781987183968957 & 0.436025632062086 & 0.218012816031043 \tabularnewline
60 & 0.76482990885438 & 0.47034018229124 & 0.23517009114562 \tabularnewline
61 & 0.787819461038954 & 0.424361077922092 & 0.212180538961046 \tabularnewline
62 & 0.903940693434654 & 0.192118613130692 & 0.0960593065653459 \tabularnewline
63 & 0.999999999955392 & 8.92165685012886e-11 & 4.46082842506443e-11 \tabularnewline
64 & 0.999999999916075 & 1.67849037037148e-10 & 8.3924518518574e-11 \tabularnewline
65 & 0.999999999902327 & 1.9534508171444e-10 & 9.76725408572198e-11 \tabularnewline
66 & 0.999999999976944 & 4.61112030235386e-11 & 2.30556015117693e-11 \tabularnewline
67 & 0.999999999967254 & 6.54917412718987e-11 & 3.27458706359493e-11 \tabularnewline
68 & 0.999999999992044 & 1.59126102279674e-11 & 7.95630511398372e-12 \tabularnewline
69 & 0.999999999987206 & 2.55885775873679e-11 & 1.2794288793684e-11 \tabularnewline
70 & 0.999999999981097 & 3.78061454445422e-11 & 1.89030727222711e-11 \tabularnewline
71 & 0.999999999971036 & 5.79283427722968e-11 & 2.89641713861484e-11 \tabularnewline
72 & 0.999999999974454 & 5.10920515738382e-11 & 2.55460257869191e-11 \tabularnewline
73 & 0.999999999970798 & 5.8404637958201e-11 & 2.92023189791005e-11 \tabularnewline
74 & 0.9999999999473 & 1.05399189089022e-10 & 5.26995945445109e-11 \tabularnewline
75 & 0.999999999934544 & 1.3091239684819e-10 & 6.54561984240949e-11 \tabularnewline
76 & 0.999999999901982 & 1.96035153710111e-10 & 9.80175768550557e-11 \tabularnewline
77 & 0.999999999914917 & 1.70165993395667e-10 & 8.50829966978337e-11 \tabularnewline
78 & 0.999999999907971 & 1.84058303258479e-10 & 9.20291516292394e-11 \tabularnewline
79 & 0.999999999899592 & 2.00815470998653e-10 & 1.00407735499326e-10 \tabularnewline
80 & 0.999999999863191 & 2.73618851165632e-10 & 1.36809425582816e-10 \tabularnewline
81 & 0.999999999939716 & 1.20567526684661e-10 & 6.02837633423306e-11 \tabularnewline
82 & 0.99999999989118 & 2.17639761530646e-10 & 1.08819880765323e-10 \tabularnewline
83 & 0.999999999987993 & 2.40132778850805e-11 & 1.20066389425402e-11 \tabularnewline
84 & 0.999999999987557 & 2.48856100208402e-11 & 1.24428050104201e-11 \tabularnewline
85 & 0.999999999978081 & 4.38384208201909e-11 & 2.19192104100954e-11 \tabularnewline
86 & 0.99999999996464 & 7.07193419969313e-11 & 3.53596709984656e-11 \tabularnewline
87 & 0.99999999994289 & 1.14220086796023e-10 & 5.71100433980114e-11 \tabularnewline
88 & 0.999999999911157 & 1.7768650677997e-10 & 8.88432533899851e-11 \tabularnewline
89 & 0.999999999972634 & 5.47313085785098e-11 & 2.73656542892549e-11 \tabularnewline
90 & 0.999999999995599 & 8.80248558925917e-12 & 4.40124279462959e-12 \tabularnewline
91 & 0.999999999996043 & 7.91307895711409e-12 & 3.95653947855705e-12 \tabularnewline
92 & 0.999999999997799 & 4.40235097602976e-12 & 2.20117548801488e-12 \tabularnewline
93 & 0.999999999998469 & 3.06105533834311e-12 & 1.53052766917156e-12 \tabularnewline
94 & 0.99999999999724 & 5.52039941422288e-12 & 2.76019970711144e-12 \tabularnewline
95 & 0.999999999995805 & 8.38897075038473e-12 & 4.19448537519236e-12 \tabularnewline
96 & 0.99999999999883 & 2.33894734942918e-12 & 1.16947367471459e-12 \tabularnewline
97 & 0.99999999999789 & 4.21980180031251e-12 & 2.10990090015625e-12 \tabularnewline
98 & 0.999999999997698 & 4.60379918194837e-12 & 2.30189959097418e-12 \tabularnewline
99 & 0.999999999997044 & 5.91258432874882e-12 & 2.95629216437441e-12 \tabularnewline
100 & 0.999999999994656 & 1.06882548186974e-11 & 5.3441274093487e-12 \tabularnewline
101 & 0.999999999992503 & 1.49944734692581e-11 & 7.49723673462904e-12 \tabularnewline
102 & 0.999999999991824 & 1.63520935216578e-11 & 8.1760467608289e-12 \tabularnewline
103 & 0.999999999992335 & 1.53299464949273e-11 & 7.66497324746364e-12 \tabularnewline
104 & 0.999999999986366 & 2.72681339574359e-11 & 1.3634066978718e-11 \tabularnewline
105 & 0.999999999975645 & 4.87097802098014e-11 & 2.43548901049007e-11 \tabularnewline
106 & 0.99999999997049 & 5.90198521860633e-11 & 2.95099260930316e-11 \tabularnewline
107 & 0.999999999979013 & 4.19733706499645e-11 & 2.09866853249822e-11 \tabularnewline
108 & 0.999999999992568 & 1.48645596274323e-11 & 7.43227981371614e-12 \tabularnewline
109 & 0.999999999988926 & 2.21487354905568e-11 & 1.10743677452784e-11 \tabularnewline
110 & 0.999999999980014 & 3.99720679106354e-11 & 1.99860339553177e-11 \tabularnewline
111 & 0.999999999966206 & 6.75883255453826e-11 & 3.37941627726913e-11 \tabularnewline
112 & 0.999999999976467 & 4.70654855401778e-11 & 2.35327427700889e-11 \tabularnewline
113 & 0.99999999996293 & 7.41397729802943e-11 & 3.70698864901472e-11 \tabularnewline
114 & 0.999999999941069 & 1.1786184614659e-10 & 5.8930923073295e-11 \tabularnewline
115 & 0.999999999952195 & 9.56101189971797e-11 & 4.78050594985899e-11 \tabularnewline
116 & 0.999999999973799 & 5.2401202375794e-11 & 2.6200601187897e-11 \tabularnewline
117 & 0.999999999960228 & 7.9544458506079e-11 & 3.97722292530395e-11 \tabularnewline
118 & 0.999999999965159 & 6.96830050566932e-11 & 3.48415025283466e-11 \tabularnewline
119 & 0.999999999938203 & 1.23594645324137e-10 & 6.17973226620683e-11 \tabularnewline
120 & 0.999999999917885 & 1.64229692828272e-10 & 8.21148464141358e-11 \tabularnewline
121 & 0.999999999909246 & 1.81507566578139e-10 & 9.07537832890696e-11 \tabularnewline
122 & 0.999999999850201 & 2.99597782880109e-10 & 1.49798891440055e-10 \tabularnewline
123 & 0.999999999782514 & 4.34971861865909e-10 & 2.17485930932954e-10 \tabularnewline
124 & 0.999999999669139 & 6.6172171549095e-10 & 3.30860857745475e-10 \tabularnewline
125 & 0.999999999437189 & 1.12562158858813e-09 & 5.62810794294066e-10 \tabularnewline
126 & 0.999999999086643 & 1.82671461176133e-09 & 9.13357305880666e-10 \tabularnewline
127 & 0.999999998514572 & 2.97085550071111e-09 & 1.48542775035555e-09 \tabularnewline
128 & 0.999999998988582 & 2.02283539808722e-09 & 1.01141769904361e-09 \tabularnewline
129 & 0.999999998811554 & 2.37689289955627e-09 & 1.18844644977814e-09 \tabularnewline
130 & 0.999999998020431 & 3.95913691050944e-09 & 1.97956845525472e-09 \tabularnewline
131 & 0.999999996834224 & 6.33155233401602e-09 & 3.16577616700801e-09 \tabularnewline
132 & 0.999999994890117 & 1.02197664270988e-08 & 5.10988321354942e-09 \tabularnewline
133 & 0.999999993124381 & 1.37512388000538e-08 & 6.87561940002689e-09 \tabularnewline
134 & 0.999999997751493 & 4.49701310303808e-09 & 2.24850655151904e-09 \tabularnewline
135 & 0.999999996824465 & 6.35107068580767e-09 & 3.17553534290384e-09 \tabularnewline
136 & 0.999999996375909 & 7.24818274031625e-09 & 3.62409137015812e-09 \tabularnewline
137 & 0.999999994057657 & 1.18846868777601e-08 & 5.94234343888003e-09 \tabularnewline
138 & 0.99999999165208 & 1.66958405373445e-08 & 8.34792026867226e-09 \tabularnewline
139 & 0.99999998720626 & 2.55874802788475e-08 & 1.27937401394238e-08 \tabularnewline
140 & 0.99999998511991 & 2.976017939143e-08 & 1.4880089695715e-08 \tabularnewline
141 & 0.999999975772214 & 4.84555725866336e-08 & 2.42277862933168e-08 \tabularnewline
142 & 0.999999985341788 & 2.93164247013932e-08 & 1.46582123506966e-08 \tabularnewline
143 & 0.999999978616623 & 4.27667531412017e-08 & 2.13833765706009e-08 \tabularnewline
144 & 0.999999967869337 & 6.42613258893457e-08 & 3.21306629446728e-08 \tabularnewline
145 & 0.999999950291302 & 9.94173957578021e-08 & 4.9708697878901e-08 \tabularnewline
146 & 0.99999997054091 & 5.89181804945025e-08 & 2.94590902472513e-08 \tabularnewline
147 & 0.999999964220325 & 7.15593500360581e-08 & 3.57796750180291e-08 \tabularnewline
148 & 0.999999942382527 & 1.15234945402518e-07 & 5.7617472701259e-08 \tabularnewline
149 & 0.999999973091201 & 5.38175985626269e-08 & 2.69087992813134e-08 \tabularnewline
150 & 0.999999956574847 & 8.68503063793533e-08 & 4.34251531896767e-08 \tabularnewline
151 & 0.999999934567622 & 1.3086475527463e-07 & 6.54323776373152e-08 \tabularnewline
152 & 0.999999913247859 & 1.73504281818599e-07 & 8.67521409092993e-08 \tabularnewline
153 & 0.999999905060309 & 1.89879382353948e-07 & 9.49396911769741e-08 \tabularnewline
154 & 0.999999988930017 & 2.21399652364108e-08 & 1.10699826182054e-08 \tabularnewline
155 & 0.99999999069975 & 1.86004996701883e-08 & 9.30024983509417e-09 \tabularnewline
156 & 0.999999987445028 & 2.51099432278546e-08 & 1.25549716139273e-08 \tabularnewline
157 & 0.999999989300477 & 2.1399045172006e-08 & 1.0699522586003e-08 \tabularnewline
158 & 0.999999990708504 & 1.85829930306824e-08 & 9.29149651534122e-09 \tabularnewline
159 & 0.999999984795258 & 3.04094846665436e-08 & 1.52047423332718e-08 \tabularnewline
160 & 0.999999999815507 & 3.68985940916952e-10 & 1.84492970458476e-10 \tabularnewline
161 & 0.999999999841101 & 3.17798140687251e-10 & 1.58899070343625e-10 \tabularnewline
162 & 0.999999999861854 & 2.76292343122505e-10 & 1.38146171561253e-10 \tabularnewline
163 & 0.999999999840799 & 3.18401604175863e-10 & 1.59200802087932e-10 \tabularnewline
164 & 0.99999999995446 & 9.10807920954968e-11 & 4.55403960477484e-11 \tabularnewline
165 & 0.999999999940288 & 1.19423799783367e-10 & 5.97118998916833e-11 \tabularnewline
166 & 0.999999999895698 & 2.08603351372306e-10 & 1.04301675686153e-10 \tabularnewline
167 & 0.999999999914846 & 1.70308930004136e-10 & 8.51544650020681e-11 \tabularnewline
168 & 0.99999999995907 & 8.1860767085669e-11 & 4.09303835428345e-11 \tabularnewline
169 & 0.999999999925047 & 1.49905893408566e-10 & 7.49529467042831e-11 \tabularnewline
170 & 0.999999999896499 & 2.07002488771718e-10 & 1.03501244385859e-10 \tabularnewline
171 & 0.999999999926222 & 1.47555952402989e-10 & 7.37779762014947e-11 \tabularnewline
172 & 0.999999999878372 & 2.43255968869688e-10 & 1.21627984434844e-10 \tabularnewline
173 & 0.999999999923168 & 1.53664037659962e-10 & 7.68320188299809e-11 \tabularnewline
174 & 0.999999999877016 & 2.45968039366362e-10 & 1.22984019683181e-10 \tabularnewline
175 & 0.999999999992917 & 1.41657548746998e-11 & 7.08287743734992e-12 \tabularnewline
176 & 0.999999999986685 & 2.66299522540309e-11 & 1.33149761270154e-11 \tabularnewline
177 & 0.999999999980176 & 3.96490421842205e-11 & 1.98245210921102e-11 \tabularnewline
178 & 0.999999999962672 & 7.46562421778128e-11 & 3.73281210889064e-11 \tabularnewline
179 & 0.999999999959834 & 8.033133638075e-11 & 4.0165668190375e-11 \tabularnewline
180 & 0.999999999932056 & 1.35887148477394e-10 & 6.79435742386971e-11 \tabularnewline
181 & 0.99999999987903 & 2.41940111672681e-10 & 1.2097005583634e-10 \tabularnewline
182 & 0.999999999800381 & 3.99238535407718e-10 & 1.99619267703859e-10 \tabularnewline
183 & 0.999999999638322 & 7.2335530607574e-10 & 3.6167765303787e-10 \tabularnewline
184 & 0.999999999365633 & 1.2687337410485e-09 & 6.34366870524251e-10 \tabularnewline
185 & 0.999999999484469 & 1.03106190794715e-09 & 5.15530953973574e-10 \tabularnewline
186 & 0.99999999908633 & 1.82733933682331e-09 & 9.13669668411657e-10 \tabularnewline
187 & 0.999999999103694 & 1.79261172689476e-09 & 8.96305863447382e-10 \tabularnewline
188 & 0.999999998402713 & 3.19457302561253e-09 & 1.59728651280627e-09 \tabularnewline
189 & 0.999999999534224 & 9.3155270892018e-10 & 4.6577635446009e-10 \tabularnewline
190 & 0.999999999218022 & 1.56395521533187e-09 & 7.81977607665936e-10 \tabularnewline
191 & 0.999999998606452 & 2.78709673082876e-09 & 1.39354836541438e-09 \tabularnewline
192 & 0.999999998832042 & 2.33591669327013e-09 & 1.16795834663506e-09 \tabularnewline
193 & 0.999999998000358 & 3.99928381119948e-09 & 1.99964190559974e-09 \tabularnewline
194 & 0.99999999699138 & 6.01724016939515e-09 & 3.00862008469757e-09 \tabularnewline
195 & 0.999999995732116 & 8.5357685146628e-09 & 4.2678842573314e-09 \tabularnewline
196 & 0.999999992581278 & 1.48374433185106e-08 & 7.41872165925529e-09 \tabularnewline
197 & 0.999999990484582 & 1.90308353945043e-08 & 9.51541769725215e-09 \tabularnewline
198 & 0.999999984216585 & 3.15668306731034e-08 & 1.57834153365517e-08 \tabularnewline
199 & 0.999999980517891 & 3.89642178325611e-08 & 1.94821089162806e-08 \tabularnewline
200 & 0.99999997008268 & 5.98346391130403e-08 & 2.99173195565202e-08 \tabularnewline
201 & 0.999999951854321 & 9.62913584587017e-08 & 4.81456792293509e-08 \tabularnewline
202 & 0.999999919619345 & 1.60761309747257e-07 & 8.03806548736284e-08 \tabularnewline
203 & 0.999999896603083 & 2.0679383325501e-07 & 1.03396916627505e-07 \tabularnewline
204 & 0.999999827049571 & 3.45900857904474e-07 & 1.72950428952237e-07 \tabularnewline
205 & 0.999999775318755 & 4.49362490372421e-07 & 2.2468124518621e-07 \tabularnewline
206 & 0.999999612948461 & 7.7410307788261e-07 & 3.87051538941305e-07 \tabularnewline
207 & 0.999999606356331 & 7.87287337156967e-07 & 3.93643668578484e-07 \tabularnewline
208 & 0.99999951542697 & 9.69146060939209e-07 & 4.84573030469604e-07 \tabularnewline
209 & 0.999999203496967 & 1.59300606601553e-06 & 7.96503033007765e-07 \tabularnewline
210 & 0.999999088583648 & 1.82283270426087e-06 & 9.11416352130437e-07 \tabularnewline
211 & 0.99999853396363 & 2.93207273968345e-06 & 1.46603636984172e-06 \tabularnewline
212 & 0.999999319059269 & 1.36188146179438e-06 & 6.80940730897192e-07 \tabularnewline
213 & 0.99999882532448 & 2.34935103962798e-06 & 1.17467551981399e-06 \tabularnewline
214 & 0.999998683029427 & 2.63394114629366e-06 & 1.31697057314683e-06 \tabularnewline
215 & 0.999998272023516 & 3.45595296803741e-06 & 1.72797648401871e-06 \tabularnewline
216 & 0.999997122553301 & 5.75489339705015e-06 & 2.87744669852508e-06 \tabularnewline
217 & 0.999995516910387 & 8.96617922525293e-06 & 4.48308961262647e-06 \tabularnewline
218 & 0.999997547525043 & 4.90494991453758e-06 & 2.45247495726879e-06 \tabularnewline
219 & 0.99999735851832 & 5.28296336080937e-06 & 2.64148168040468e-06 \tabularnewline
220 & 0.999995472827339 & 9.05434532266929e-06 & 4.52717266133464e-06 \tabularnewline
221 & 0.999992701227942 & 1.45975441162039e-05 & 7.29877205810193e-06 \tabularnewline
222 & 0.999997927554981 & 4.14489003907101e-06 & 2.0724450195355e-06 \tabularnewline
223 & 0.999998503024261 & 2.9939514775344e-06 & 1.4969757387672e-06 \tabularnewline
224 & 0.999997663030337 & 4.67393932585254e-06 & 2.33696966292627e-06 \tabularnewline
225 & 0.999996744512442 & 6.51097511659167e-06 & 3.25548755829584e-06 \tabularnewline
226 & 0.999994465198819 & 1.10696023623403e-05 & 5.53480118117015e-06 \tabularnewline
227 & 0.999990406176215 & 1.91876475694563e-05 & 9.59382378472816e-06 \tabularnewline
228 & 0.999991475230927 & 1.70495381451591e-05 & 8.52476907257956e-06 \tabularnewline
229 & 0.99999004408361 & 1.99118327809377e-05 & 9.95591639046886e-06 \tabularnewline
230 & 0.999998752945897 & 2.49410820623369e-06 & 1.24705410311684e-06 \tabularnewline
231 & 0.999997847181695 & 4.30563660925668e-06 & 2.15281830462834e-06 \tabularnewline
232 & 0.99999887956996 & 2.24086007901014e-06 & 1.12043003950507e-06 \tabularnewline
233 & 0.999998608323793 & 2.78335241502381e-06 & 1.39167620751191e-06 \tabularnewline
234 & 0.999997525171347 & 4.94965730660124e-06 & 2.47482865330062e-06 \tabularnewline
235 & 0.999997117665375 & 5.76466924966129e-06 & 2.88233462483064e-06 \tabularnewline
236 & 0.999995095568857 & 9.80886228597429e-06 & 4.90443114298714e-06 \tabularnewline
237 & 0.999991445632083 & 1.71087358348378e-05 & 8.55436791741892e-06 \tabularnewline
238 & 0.999984580101683 & 3.08397966330922e-05 & 1.54198983165461e-05 \tabularnewline
239 & 0.999972149011971 & 5.57019760576073e-05 & 2.78509880288036e-05 \tabularnewline
240 & 0.999959274965068 & 8.14500698639434e-05 & 4.07250349319717e-05 \tabularnewline
241 & 0.999954602597198 & 9.0794805603888e-05 & 4.5397402801944e-05 \tabularnewline
242 & 0.999984352355161 & 3.12952896771291e-05 & 1.56476448385646e-05 \tabularnewline
243 & 0.999970806004876 & 5.8387990247645e-05 & 2.91939951238225e-05 \tabularnewline
244 & 0.999963450642512 & 7.30987149751245e-05 & 3.65493574875623e-05 \tabularnewline
245 & 0.999939452952585 & 0.000121094094830221 & 6.05470474151105e-05 \tabularnewline
246 & 0.999893864516668 & 0.000212270966663909 & 0.000106135483331954 \tabularnewline
247 & 0.999987211991757 & 2.55760164868561e-05 & 1.2788008243428e-05 \tabularnewline
248 & 0.999979325737275 & 4.13485254492049e-05 & 2.06742627246025e-05 \tabularnewline
249 & 0.999960404022192 & 7.91919556155953e-05 & 3.95959778077976e-05 \tabularnewline
250 & 0.999928331406082 & 0.00014333718783651 & 7.16685939182551e-05 \tabularnewline
251 & 0.999871989729687 & 0.00025602054062652 & 0.00012801027031326 \tabularnewline
252 & 0.999763464934832 & 0.000473070130335016 & 0.000236535065167508 \tabularnewline
253 & 0.999585344117147 & 0.000829311765705882 & 0.000414655882852941 \tabularnewline
254 & 0.999251031265641 & 0.00149793746871864 & 0.000748968734359319 \tabularnewline
255 & 0.998777600703489 & 0.00244479859302238 & 0.00122239929651119 \tabularnewline
256 & 0.998023730988998 & 0.00395253802200351 & 0.00197626901100176 \tabularnewline
257 & 0.996631211767823 & 0.00673757646435355 & 0.00336878823217678 \tabularnewline
258 & 0.994900376966677 & 0.0101992460666465 & 0.00509962303332324 \tabularnewline
259 & 0.992151818056439 & 0.0156963638871227 & 0.00784818194356134 \tabularnewline
260 & 0.987172023665057 & 0.0256559526698859 & 0.0128279763349429 \tabularnewline
261 & 0.986180819099207 & 0.0276383618015857 & 0.0138191809007929 \tabularnewline
262 & 0.977774840206933 & 0.0444503195861337 & 0.0222251597930669 \tabularnewline
263 & 0.968061821577547 & 0.0638763568449058 & 0.0319381784224529 \tabularnewline
264 & 0.952814370018484 & 0.0943712599630326 & 0.0471856299815163 \tabularnewline
265 & 0.936362143670778 & 0.127275712658443 & 0.0636378563292216 \tabularnewline
266 & 0.910620769595673 & 0.178758460808655 & 0.0893792304043274 \tabularnewline
267 & 0.880343250462595 & 0.23931349907481 & 0.119656749537405 \tabularnewline
268 & 0.890314896080763 & 0.219370207838473 & 0.109685103919237 \tabularnewline
269 & 0.83967939735026 & 0.320641205299479 & 0.16032060264974 \tabularnewline
270 & 0.934971409809833 & 0.130057180380335 & 0.0650285901901675 \tabularnewline
271 & 0.920164719905651 & 0.159670560188697 & 0.0798352800943486 \tabularnewline
272 & 0.898091139998809 & 0.203817720002382 & 0.101908860001191 \tabularnewline
273 & 0.86045295983129 & 0.279094080337421 & 0.13954704016871 \tabularnewline
274 & 0.817328573932008 & 0.365342852135983 & 0.182671426067992 \tabularnewline
275 & 0.709910112176378 & 0.580179775647245 & 0.290089887823622 \tabularnewline
276 & 0.932330451491853 & 0.135339097016293 & 0.0676695485081467 \tabularnewline
277 & 0.839058376361244 & 0.321883247277511 & 0.160941623638756 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201010&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]12[/C][C]0.163984272329832[/C][C]0.327968544659664[/C][C]0.836015727670168[/C][/ROW]
[ROW][C]13[/C][C]0.318667770379625[/C][C]0.637335540759249[/C][C]0.681332229620375[/C][/ROW]
[ROW][C]14[/C][C]0.19507689008592[/C][C]0.390153780171841[/C][C]0.80492310991408[/C][/ROW]
[ROW][C]15[/C][C]0.112556259763946[/C][C]0.225112519527893[/C][C]0.887443740236054[/C][/ROW]
[ROW][C]16[/C][C]0.0719714150356058[/C][C]0.143942830071212[/C][C]0.928028584964394[/C][/ROW]
[ROW][C]17[/C][C]0.871291910302891[/C][C]0.257416179394219[/C][C]0.128708089697109[/C][/ROW]
[ROW][C]18[/C][C]0.828326364428651[/C][C]0.343347271142699[/C][C]0.171673635571349[/C][/ROW]
[ROW][C]19[/C][C]0.840614622928547[/C][C]0.318770754142905[/C][C]0.159385377071452[/C][/ROW]
[ROW][C]20[/C][C]0.800872138342847[/C][C]0.398255723314306[/C][C]0.199127861657153[/C][/ROW]
[ROW][C]21[/C][C]0.815025403745615[/C][C]0.36994919250877[/C][C]0.184974596254385[/C][/ROW]
[ROW][C]22[/C][C]0.772862713160645[/C][C]0.45427457367871[/C][C]0.227137286839355[/C][/ROW]
[ROW][C]23[/C][C]0.724982074153268[/C][C]0.550035851693464[/C][C]0.275017925846732[/C][/ROW]
[ROW][C]24[/C][C]0.70697209588626[/C][C]0.586055808227481[/C][C]0.29302790411374[/C][/ROW]
[ROW][C]25[/C][C]0.645610281438125[/C][C]0.708779437123749[/C][C]0.354389718561875[/C][/ROW]
[ROW][C]26[/C][C]0.581504696399551[/C][C]0.836990607200898[/C][C]0.418495303600449[/C][/ROW]
[ROW][C]27[/C][C]0.523516837171438[/C][C]0.952966325657123[/C][C]0.476483162828562[/C][/ROW]
[ROW][C]28[/C][C]0.458938286007796[/C][C]0.917876572015592[/C][C]0.541061713992204[/C][/ROW]
[ROW][C]29[/C][C]0.39594812465345[/C][C]0.791896249306901[/C][C]0.60405187534655[/C][/ROW]
[ROW][C]30[/C][C]0.334735560345711[/C][C]0.669471120691423[/C][C]0.665264439654289[/C][/ROW]
[ROW][C]31[/C][C]0.282918273736543[/C][C]0.565836547473087[/C][C]0.717081726263457[/C][/ROW]
[ROW][C]32[/C][C]0.246259091249577[/C][C]0.492518182499154[/C][C]0.753740908750423[/C][/ROW]
[ROW][C]33[/C][C]0.203662062881446[/C][C]0.407324125762891[/C][C]0.796337937118554[/C][/ROW]
[ROW][C]34[/C][C]0.219511204991796[/C][C]0.439022409983592[/C][C]0.780488795008204[/C][/ROW]
[ROW][C]35[/C][C]0.177624757018733[/C][C]0.355249514037465[/C][C]0.822375242981267[/C][/ROW]
[ROW][C]36[/C][C]0.14664886138075[/C][C]0.293297722761501[/C][C]0.85335113861925[/C][/ROW]
[ROW][C]37[/C][C]0.134039386633299[/C][C]0.268078773266597[/C][C]0.865960613366701[/C][/ROW]
[ROW][C]38[/C][C]0.107907360050369[/C][C]0.215814720100737[/C][C]0.892092639949631[/C][/ROW]
[ROW][C]39[/C][C]0.158366102890203[/C][C]0.316732205780406[/C][C]0.841633897109797[/C][/ROW]
[ROW][C]40[/C][C]0.127963902566052[/C][C]0.255927805132104[/C][C]0.872036097433948[/C][/ROW]
[ROW][C]41[/C][C]0.10174646389003[/C][C]0.203492927780061[/C][C]0.89825353610997[/C][/ROW]
[ROW][C]42[/C][C]0.0934852458582682[/C][C]0.186970491716536[/C][C]0.906514754141732[/C][/ROW]
[ROW][C]43[/C][C]0.159174681480786[/C][C]0.318349362961572[/C][C]0.840825318519214[/C][/ROW]
[ROW][C]44[/C][C]0.13151901981838[/C][C]0.26303803963676[/C][C]0.86848098018162[/C][/ROW]
[ROW][C]45[/C][C]0.120103029351243[/C][C]0.240206058702486[/C][C]0.879896970648757[/C][/ROW]
[ROW][C]46[/C][C]0.127243458333808[/C][C]0.254486916667616[/C][C]0.872756541666192[/C][/ROW]
[ROW][C]47[/C][C]0.25905516873404[/C][C]0.51811033746808[/C][C]0.74094483126596[/C][/ROW]
[ROW][C]48[/C][C]0.241651321104838[/C][C]0.483302642209676[/C][C]0.758348678895162[/C][/ROW]
[ROW][C]49[/C][C]0.252185633949697[/C][C]0.504371267899394[/C][C]0.747814366050303[/C][/ROW]
[ROW][C]50[/C][C]0.220561912170987[/C][C]0.441123824341973[/C][C]0.779438087829013[/C][/ROW]
[ROW][C]51[/C][C]0.315285659677382[/C][C]0.630571319354765[/C][C]0.684714340322618[/C][/ROW]
[ROW][C]52[/C][C]0.280359103469242[/C][C]0.560718206938484[/C][C]0.719640896530758[/C][/ROW]
[ROW][C]53[/C][C]0.282089860085799[/C][C]0.564179720171597[/C][C]0.717910139914201[/C][/ROW]
[ROW][C]54[/C][C]0.667125404267348[/C][C]0.665749191465303[/C][C]0.332874595732652[/C][/ROW]
[ROW][C]55[/C][C]0.645207205639261[/C][C]0.709585588721478[/C][C]0.354792794360739[/C][/ROW]
[ROW][C]56[/C][C]0.605049643391234[/C][C]0.789900713217532[/C][C]0.394950356608766[/C][/ROW]
[ROW][C]57[/C][C]0.569736915584748[/C][C]0.860526168830503[/C][C]0.430263084415252[/C][/ROW]
[ROW][C]58[/C][C]0.810226572349563[/C][C]0.379546855300875[/C][C]0.189773427650438[/C][/ROW]
[ROW][C]59[/C][C]0.781987183968957[/C][C]0.436025632062086[/C][C]0.218012816031043[/C][/ROW]
[ROW][C]60[/C][C]0.76482990885438[/C][C]0.47034018229124[/C][C]0.23517009114562[/C][/ROW]
[ROW][C]61[/C][C]0.787819461038954[/C][C]0.424361077922092[/C][C]0.212180538961046[/C][/ROW]
[ROW][C]62[/C][C]0.903940693434654[/C][C]0.192118613130692[/C][C]0.0960593065653459[/C][/ROW]
[ROW][C]63[/C][C]0.999999999955392[/C][C]8.92165685012886e-11[/C][C]4.46082842506443e-11[/C][/ROW]
[ROW][C]64[/C][C]0.999999999916075[/C][C]1.67849037037148e-10[/C][C]8.3924518518574e-11[/C][/ROW]
[ROW][C]65[/C][C]0.999999999902327[/C][C]1.9534508171444e-10[/C][C]9.76725408572198e-11[/C][/ROW]
[ROW][C]66[/C][C]0.999999999976944[/C][C]4.61112030235386e-11[/C][C]2.30556015117693e-11[/C][/ROW]
[ROW][C]67[/C][C]0.999999999967254[/C][C]6.54917412718987e-11[/C][C]3.27458706359493e-11[/C][/ROW]
[ROW][C]68[/C][C]0.999999999992044[/C][C]1.59126102279674e-11[/C][C]7.95630511398372e-12[/C][/ROW]
[ROW][C]69[/C][C]0.999999999987206[/C][C]2.55885775873679e-11[/C][C]1.2794288793684e-11[/C][/ROW]
[ROW][C]70[/C][C]0.999999999981097[/C][C]3.78061454445422e-11[/C][C]1.89030727222711e-11[/C][/ROW]
[ROW][C]71[/C][C]0.999999999971036[/C][C]5.79283427722968e-11[/C][C]2.89641713861484e-11[/C][/ROW]
[ROW][C]72[/C][C]0.999999999974454[/C][C]5.10920515738382e-11[/C][C]2.55460257869191e-11[/C][/ROW]
[ROW][C]73[/C][C]0.999999999970798[/C][C]5.8404637958201e-11[/C][C]2.92023189791005e-11[/C][/ROW]
[ROW][C]74[/C][C]0.9999999999473[/C][C]1.05399189089022e-10[/C][C]5.26995945445109e-11[/C][/ROW]
[ROW][C]75[/C][C]0.999999999934544[/C][C]1.3091239684819e-10[/C][C]6.54561984240949e-11[/C][/ROW]
[ROW][C]76[/C][C]0.999999999901982[/C][C]1.96035153710111e-10[/C][C]9.80175768550557e-11[/C][/ROW]
[ROW][C]77[/C][C]0.999999999914917[/C][C]1.70165993395667e-10[/C][C]8.50829966978337e-11[/C][/ROW]
[ROW][C]78[/C][C]0.999999999907971[/C][C]1.84058303258479e-10[/C][C]9.20291516292394e-11[/C][/ROW]
[ROW][C]79[/C][C]0.999999999899592[/C][C]2.00815470998653e-10[/C][C]1.00407735499326e-10[/C][/ROW]
[ROW][C]80[/C][C]0.999999999863191[/C][C]2.73618851165632e-10[/C][C]1.36809425582816e-10[/C][/ROW]
[ROW][C]81[/C][C]0.999999999939716[/C][C]1.20567526684661e-10[/C][C]6.02837633423306e-11[/C][/ROW]
[ROW][C]82[/C][C]0.99999999989118[/C][C]2.17639761530646e-10[/C][C]1.08819880765323e-10[/C][/ROW]
[ROW][C]83[/C][C]0.999999999987993[/C][C]2.40132778850805e-11[/C][C]1.20066389425402e-11[/C][/ROW]
[ROW][C]84[/C][C]0.999999999987557[/C][C]2.48856100208402e-11[/C][C]1.24428050104201e-11[/C][/ROW]
[ROW][C]85[/C][C]0.999999999978081[/C][C]4.38384208201909e-11[/C][C]2.19192104100954e-11[/C][/ROW]
[ROW][C]86[/C][C]0.99999999996464[/C][C]7.07193419969313e-11[/C][C]3.53596709984656e-11[/C][/ROW]
[ROW][C]87[/C][C]0.99999999994289[/C][C]1.14220086796023e-10[/C][C]5.71100433980114e-11[/C][/ROW]
[ROW][C]88[/C][C]0.999999999911157[/C][C]1.7768650677997e-10[/C][C]8.88432533899851e-11[/C][/ROW]
[ROW][C]89[/C][C]0.999999999972634[/C][C]5.47313085785098e-11[/C][C]2.73656542892549e-11[/C][/ROW]
[ROW][C]90[/C][C]0.999999999995599[/C][C]8.80248558925917e-12[/C][C]4.40124279462959e-12[/C][/ROW]
[ROW][C]91[/C][C]0.999999999996043[/C][C]7.91307895711409e-12[/C][C]3.95653947855705e-12[/C][/ROW]
[ROW][C]92[/C][C]0.999999999997799[/C][C]4.40235097602976e-12[/C][C]2.20117548801488e-12[/C][/ROW]
[ROW][C]93[/C][C]0.999999999998469[/C][C]3.06105533834311e-12[/C][C]1.53052766917156e-12[/C][/ROW]
[ROW][C]94[/C][C]0.99999999999724[/C][C]5.52039941422288e-12[/C][C]2.76019970711144e-12[/C][/ROW]
[ROW][C]95[/C][C]0.999999999995805[/C][C]8.38897075038473e-12[/C][C]4.19448537519236e-12[/C][/ROW]
[ROW][C]96[/C][C]0.99999999999883[/C][C]2.33894734942918e-12[/C][C]1.16947367471459e-12[/C][/ROW]
[ROW][C]97[/C][C]0.99999999999789[/C][C]4.21980180031251e-12[/C][C]2.10990090015625e-12[/C][/ROW]
[ROW][C]98[/C][C]0.999999999997698[/C][C]4.60379918194837e-12[/C][C]2.30189959097418e-12[/C][/ROW]
[ROW][C]99[/C][C]0.999999999997044[/C][C]5.91258432874882e-12[/C][C]2.95629216437441e-12[/C][/ROW]
[ROW][C]100[/C][C]0.999999999994656[/C][C]1.06882548186974e-11[/C][C]5.3441274093487e-12[/C][/ROW]
[ROW][C]101[/C][C]0.999999999992503[/C][C]1.49944734692581e-11[/C][C]7.49723673462904e-12[/C][/ROW]
[ROW][C]102[/C][C]0.999999999991824[/C][C]1.63520935216578e-11[/C][C]8.1760467608289e-12[/C][/ROW]
[ROW][C]103[/C][C]0.999999999992335[/C][C]1.53299464949273e-11[/C][C]7.66497324746364e-12[/C][/ROW]
[ROW][C]104[/C][C]0.999999999986366[/C][C]2.72681339574359e-11[/C][C]1.3634066978718e-11[/C][/ROW]
[ROW][C]105[/C][C]0.999999999975645[/C][C]4.87097802098014e-11[/C][C]2.43548901049007e-11[/C][/ROW]
[ROW][C]106[/C][C]0.99999999997049[/C][C]5.90198521860633e-11[/C][C]2.95099260930316e-11[/C][/ROW]
[ROW][C]107[/C][C]0.999999999979013[/C][C]4.19733706499645e-11[/C][C]2.09866853249822e-11[/C][/ROW]
[ROW][C]108[/C][C]0.999999999992568[/C][C]1.48645596274323e-11[/C][C]7.43227981371614e-12[/C][/ROW]
[ROW][C]109[/C][C]0.999999999988926[/C][C]2.21487354905568e-11[/C][C]1.10743677452784e-11[/C][/ROW]
[ROW][C]110[/C][C]0.999999999980014[/C][C]3.99720679106354e-11[/C][C]1.99860339553177e-11[/C][/ROW]
[ROW][C]111[/C][C]0.999999999966206[/C][C]6.75883255453826e-11[/C][C]3.37941627726913e-11[/C][/ROW]
[ROW][C]112[/C][C]0.999999999976467[/C][C]4.70654855401778e-11[/C][C]2.35327427700889e-11[/C][/ROW]
[ROW][C]113[/C][C]0.99999999996293[/C][C]7.41397729802943e-11[/C][C]3.70698864901472e-11[/C][/ROW]
[ROW][C]114[/C][C]0.999999999941069[/C][C]1.1786184614659e-10[/C][C]5.8930923073295e-11[/C][/ROW]
[ROW][C]115[/C][C]0.999999999952195[/C][C]9.56101189971797e-11[/C][C]4.78050594985899e-11[/C][/ROW]
[ROW][C]116[/C][C]0.999999999973799[/C][C]5.2401202375794e-11[/C][C]2.6200601187897e-11[/C][/ROW]
[ROW][C]117[/C][C]0.999999999960228[/C][C]7.9544458506079e-11[/C][C]3.97722292530395e-11[/C][/ROW]
[ROW][C]118[/C][C]0.999999999965159[/C][C]6.96830050566932e-11[/C][C]3.48415025283466e-11[/C][/ROW]
[ROW][C]119[/C][C]0.999999999938203[/C][C]1.23594645324137e-10[/C][C]6.17973226620683e-11[/C][/ROW]
[ROW][C]120[/C][C]0.999999999917885[/C][C]1.64229692828272e-10[/C][C]8.21148464141358e-11[/C][/ROW]
[ROW][C]121[/C][C]0.999999999909246[/C][C]1.81507566578139e-10[/C][C]9.07537832890696e-11[/C][/ROW]
[ROW][C]122[/C][C]0.999999999850201[/C][C]2.99597782880109e-10[/C][C]1.49798891440055e-10[/C][/ROW]
[ROW][C]123[/C][C]0.999999999782514[/C][C]4.34971861865909e-10[/C][C]2.17485930932954e-10[/C][/ROW]
[ROW][C]124[/C][C]0.999999999669139[/C][C]6.6172171549095e-10[/C][C]3.30860857745475e-10[/C][/ROW]
[ROW][C]125[/C][C]0.999999999437189[/C][C]1.12562158858813e-09[/C][C]5.62810794294066e-10[/C][/ROW]
[ROW][C]126[/C][C]0.999999999086643[/C][C]1.82671461176133e-09[/C][C]9.13357305880666e-10[/C][/ROW]
[ROW][C]127[/C][C]0.999999998514572[/C][C]2.97085550071111e-09[/C][C]1.48542775035555e-09[/C][/ROW]
[ROW][C]128[/C][C]0.999999998988582[/C][C]2.02283539808722e-09[/C][C]1.01141769904361e-09[/C][/ROW]
[ROW][C]129[/C][C]0.999999998811554[/C][C]2.37689289955627e-09[/C][C]1.18844644977814e-09[/C][/ROW]
[ROW][C]130[/C][C]0.999999998020431[/C][C]3.95913691050944e-09[/C][C]1.97956845525472e-09[/C][/ROW]
[ROW][C]131[/C][C]0.999999996834224[/C][C]6.33155233401602e-09[/C][C]3.16577616700801e-09[/C][/ROW]
[ROW][C]132[/C][C]0.999999994890117[/C][C]1.02197664270988e-08[/C][C]5.10988321354942e-09[/C][/ROW]
[ROW][C]133[/C][C]0.999999993124381[/C][C]1.37512388000538e-08[/C][C]6.87561940002689e-09[/C][/ROW]
[ROW][C]134[/C][C]0.999999997751493[/C][C]4.49701310303808e-09[/C][C]2.24850655151904e-09[/C][/ROW]
[ROW][C]135[/C][C]0.999999996824465[/C][C]6.35107068580767e-09[/C][C]3.17553534290384e-09[/C][/ROW]
[ROW][C]136[/C][C]0.999999996375909[/C][C]7.24818274031625e-09[/C][C]3.62409137015812e-09[/C][/ROW]
[ROW][C]137[/C][C]0.999999994057657[/C][C]1.18846868777601e-08[/C][C]5.94234343888003e-09[/C][/ROW]
[ROW][C]138[/C][C]0.99999999165208[/C][C]1.66958405373445e-08[/C][C]8.34792026867226e-09[/C][/ROW]
[ROW][C]139[/C][C]0.99999998720626[/C][C]2.55874802788475e-08[/C][C]1.27937401394238e-08[/C][/ROW]
[ROW][C]140[/C][C]0.99999998511991[/C][C]2.976017939143e-08[/C][C]1.4880089695715e-08[/C][/ROW]
[ROW][C]141[/C][C]0.999999975772214[/C][C]4.84555725866336e-08[/C][C]2.42277862933168e-08[/C][/ROW]
[ROW][C]142[/C][C]0.999999985341788[/C][C]2.93164247013932e-08[/C][C]1.46582123506966e-08[/C][/ROW]
[ROW][C]143[/C][C]0.999999978616623[/C][C]4.27667531412017e-08[/C][C]2.13833765706009e-08[/C][/ROW]
[ROW][C]144[/C][C]0.999999967869337[/C][C]6.42613258893457e-08[/C][C]3.21306629446728e-08[/C][/ROW]
[ROW][C]145[/C][C]0.999999950291302[/C][C]9.94173957578021e-08[/C][C]4.9708697878901e-08[/C][/ROW]
[ROW][C]146[/C][C]0.99999997054091[/C][C]5.89181804945025e-08[/C][C]2.94590902472513e-08[/C][/ROW]
[ROW][C]147[/C][C]0.999999964220325[/C][C]7.15593500360581e-08[/C][C]3.57796750180291e-08[/C][/ROW]
[ROW][C]148[/C][C]0.999999942382527[/C][C]1.15234945402518e-07[/C][C]5.7617472701259e-08[/C][/ROW]
[ROW][C]149[/C][C]0.999999973091201[/C][C]5.38175985626269e-08[/C][C]2.69087992813134e-08[/C][/ROW]
[ROW][C]150[/C][C]0.999999956574847[/C][C]8.68503063793533e-08[/C][C]4.34251531896767e-08[/C][/ROW]
[ROW][C]151[/C][C]0.999999934567622[/C][C]1.3086475527463e-07[/C][C]6.54323776373152e-08[/C][/ROW]
[ROW][C]152[/C][C]0.999999913247859[/C][C]1.73504281818599e-07[/C][C]8.67521409092993e-08[/C][/ROW]
[ROW][C]153[/C][C]0.999999905060309[/C][C]1.89879382353948e-07[/C][C]9.49396911769741e-08[/C][/ROW]
[ROW][C]154[/C][C]0.999999988930017[/C][C]2.21399652364108e-08[/C][C]1.10699826182054e-08[/C][/ROW]
[ROW][C]155[/C][C]0.99999999069975[/C][C]1.86004996701883e-08[/C][C]9.30024983509417e-09[/C][/ROW]
[ROW][C]156[/C][C]0.999999987445028[/C][C]2.51099432278546e-08[/C][C]1.25549716139273e-08[/C][/ROW]
[ROW][C]157[/C][C]0.999999989300477[/C][C]2.1399045172006e-08[/C][C]1.0699522586003e-08[/C][/ROW]
[ROW][C]158[/C][C]0.999999990708504[/C][C]1.85829930306824e-08[/C][C]9.29149651534122e-09[/C][/ROW]
[ROW][C]159[/C][C]0.999999984795258[/C][C]3.04094846665436e-08[/C][C]1.52047423332718e-08[/C][/ROW]
[ROW][C]160[/C][C]0.999999999815507[/C][C]3.68985940916952e-10[/C][C]1.84492970458476e-10[/C][/ROW]
[ROW][C]161[/C][C]0.999999999841101[/C][C]3.17798140687251e-10[/C][C]1.58899070343625e-10[/C][/ROW]
[ROW][C]162[/C][C]0.999999999861854[/C][C]2.76292343122505e-10[/C][C]1.38146171561253e-10[/C][/ROW]
[ROW][C]163[/C][C]0.999999999840799[/C][C]3.18401604175863e-10[/C][C]1.59200802087932e-10[/C][/ROW]
[ROW][C]164[/C][C]0.99999999995446[/C][C]9.10807920954968e-11[/C][C]4.55403960477484e-11[/C][/ROW]
[ROW][C]165[/C][C]0.999999999940288[/C][C]1.19423799783367e-10[/C][C]5.97118998916833e-11[/C][/ROW]
[ROW][C]166[/C][C]0.999999999895698[/C][C]2.08603351372306e-10[/C][C]1.04301675686153e-10[/C][/ROW]
[ROW][C]167[/C][C]0.999999999914846[/C][C]1.70308930004136e-10[/C][C]8.51544650020681e-11[/C][/ROW]
[ROW][C]168[/C][C]0.99999999995907[/C][C]8.1860767085669e-11[/C][C]4.09303835428345e-11[/C][/ROW]
[ROW][C]169[/C][C]0.999999999925047[/C][C]1.49905893408566e-10[/C][C]7.49529467042831e-11[/C][/ROW]
[ROW][C]170[/C][C]0.999999999896499[/C][C]2.07002488771718e-10[/C][C]1.03501244385859e-10[/C][/ROW]
[ROW][C]171[/C][C]0.999999999926222[/C][C]1.47555952402989e-10[/C][C]7.37779762014947e-11[/C][/ROW]
[ROW][C]172[/C][C]0.999999999878372[/C][C]2.43255968869688e-10[/C][C]1.21627984434844e-10[/C][/ROW]
[ROW][C]173[/C][C]0.999999999923168[/C][C]1.53664037659962e-10[/C][C]7.68320188299809e-11[/C][/ROW]
[ROW][C]174[/C][C]0.999999999877016[/C][C]2.45968039366362e-10[/C][C]1.22984019683181e-10[/C][/ROW]
[ROW][C]175[/C][C]0.999999999992917[/C][C]1.41657548746998e-11[/C][C]7.08287743734992e-12[/C][/ROW]
[ROW][C]176[/C][C]0.999999999986685[/C][C]2.66299522540309e-11[/C][C]1.33149761270154e-11[/C][/ROW]
[ROW][C]177[/C][C]0.999999999980176[/C][C]3.96490421842205e-11[/C][C]1.98245210921102e-11[/C][/ROW]
[ROW][C]178[/C][C]0.999999999962672[/C][C]7.46562421778128e-11[/C][C]3.73281210889064e-11[/C][/ROW]
[ROW][C]179[/C][C]0.999999999959834[/C][C]8.033133638075e-11[/C][C]4.0165668190375e-11[/C][/ROW]
[ROW][C]180[/C][C]0.999999999932056[/C][C]1.35887148477394e-10[/C][C]6.79435742386971e-11[/C][/ROW]
[ROW][C]181[/C][C]0.99999999987903[/C][C]2.41940111672681e-10[/C][C]1.2097005583634e-10[/C][/ROW]
[ROW][C]182[/C][C]0.999999999800381[/C][C]3.99238535407718e-10[/C][C]1.99619267703859e-10[/C][/ROW]
[ROW][C]183[/C][C]0.999999999638322[/C][C]7.2335530607574e-10[/C][C]3.6167765303787e-10[/C][/ROW]
[ROW][C]184[/C][C]0.999999999365633[/C][C]1.2687337410485e-09[/C][C]6.34366870524251e-10[/C][/ROW]
[ROW][C]185[/C][C]0.999999999484469[/C][C]1.03106190794715e-09[/C][C]5.15530953973574e-10[/C][/ROW]
[ROW][C]186[/C][C]0.99999999908633[/C][C]1.82733933682331e-09[/C][C]9.13669668411657e-10[/C][/ROW]
[ROW][C]187[/C][C]0.999999999103694[/C][C]1.79261172689476e-09[/C][C]8.96305863447382e-10[/C][/ROW]
[ROW][C]188[/C][C]0.999999998402713[/C][C]3.19457302561253e-09[/C][C]1.59728651280627e-09[/C][/ROW]
[ROW][C]189[/C][C]0.999999999534224[/C][C]9.3155270892018e-10[/C][C]4.6577635446009e-10[/C][/ROW]
[ROW][C]190[/C][C]0.999999999218022[/C][C]1.56395521533187e-09[/C][C]7.81977607665936e-10[/C][/ROW]
[ROW][C]191[/C][C]0.999999998606452[/C][C]2.78709673082876e-09[/C][C]1.39354836541438e-09[/C][/ROW]
[ROW][C]192[/C][C]0.999999998832042[/C][C]2.33591669327013e-09[/C][C]1.16795834663506e-09[/C][/ROW]
[ROW][C]193[/C][C]0.999999998000358[/C][C]3.99928381119948e-09[/C][C]1.99964190559974e-09[/C][/ROW]
[ROW][C]194[/C][C]0.99999999699138[/C][C]6.01724016939515e-09[/C][C]3.00862008469757e-09[/C][/ROW]
[ROW][C]195[/C][C]0.999999995732116[/C][C]8.5357685146628e-09[/C][C]4.2678842573314e-09[/C][/ROW]
[ROW][C]196[/C][C]0.999999992581278[/C][C]1.48374433185106e-08[/C][C]7.41872165925529e-09[/C][/ROW]
[ROW][C]197[/C][C]0.999999990484582[/C][C]1.90308353945043e-08[/C][C]9.51541769725215e-09[/C][/ROW]
[ROW][C]198[/C][C]0.999999984216585[/C][C]3.15668306731034e-08[/C][C]1.57834153365517e-08[/C][/ROW]
[ROW][C]199[/C][C]0.999999980517891[/C][C]3.89642178325611e-08[/C][C]1.94821089162806e-08[/C][/ROW]
[ROW][C]200[/C][C]0.99999997008268[/C][C]5.98346391130403e-08[/C][C]2.99173195565202e-08[/C][/ROW]
[ROW][C]201[/C][C]0.999999951854321[/C][C]9.62913584587017e-08[/C][C]4.81456792293509e-08[/C][/ROW]
[ROW][C]202[/C][C]0.999999919619345[/C][C]1.60761309747257e-07[/C][C]8.03806548736284e-08[/C][/ROW]
[ROW][C]203[/C][C]0.999999896603083[/C][C]2.0679383325501e-07[/C][C]1.03396916627505e-07[/C][/ROW]
[ROW][C]204[/C][C]0.999999827049571[/C][C]3.45900857904474e-07[/C][C]1.72950428952237e-07[/C][/ROW]
[ROW][C]205[/C][C]0.999999775318755[/C][C]4.49362490372421e-07[/C][C]2.2468124518621e-07[/C][/ROW]
[ROW][C]206[/C][C]0.999999612948461[/C][C]7.7410307788261e-07[/C][C]3.87051538941305e-07[/C][/ROW]
[ROW][C]207[/C][C]0.999999606356331[/C][C]7.87287337156967e-07[/C][C]3.93643668578484e-07[/C][/ROW]
[ROW][C]208[/C][C]0.99999951542697[/C][C]9.69146060939209e-07[/C][C]4.84573030469604e-07[/C][/ROW]
[ROW][C]209[/C][C]0.999999203496967[/C][C]1.59300606601553e-06[/C][C]7.96503033007765e-07[/C][/ROW]
[ROW][C]210[/C][C]0.999999088583648[/C][C]1.82283270426087e-06[/C][C]9.11416352130437e-07[/C][/ROW]
[ROW][C]211[/C][C]0.99999853396363[/C][C]2.93207273968345e-06[/C][C]1.46603636984172e-06[/C][/ROW]
[ROW][C]212[/C][C]0.999999319059269[/C][C]1.36188146179438e-06[/C][C]6.80940730897192e-07[/C][/ROW]
[ROW][C]213[/C][C]0.99999882532448[/C][C]2.34935103962798e-06[/C][C]1.17467551981399e-06[/C][/ROW]
[ROW][C]214[/C][C]0.999998683029427[/C][C]2.63394114629366e-06[/C][C]1.31697057314683e-06[/C][/ROW]
[ROW][C]215[/C][C]0.999998272023516[/C][C]3.45595296803741e-06[/C][C]1.72797648401871e-06[/C][/ROW]
[ROW][C]216[/C][C]0.999997122553301[/C][C]5.75489339705015e-06[/C][C]2.87744669852508e-06[/C][/ROW]
[ROW][C]217[/C][C]0.999995516910387[/C][C]8.96617922525293e-06[/C][C]4.48308961262647e-06[/C][/ROW]
[ROW][C]218[/C][C]0.999997547525043[/C][C]4.90494991453758e-06[/C][C]2.45247495726879e-06[/C][/ROW]
[ROW][C]219[/C][C]0.99999735851832[/C][C]5.28296336080937e-06[/C][C]2.64148168040468e-06[/C][/ROW]
[ROW][C]220[/C][C]0.999995472827339[/C][C]9.05434532266929e-06[/C][C]4.52717266133464e-06[/C][/ROW]
[ROW][C]221[/C][C]0.999992701227942[/C][C]1.45975441162039e-05[/C][C]7.29877205810193e-06[/C][/ROW]
[ROW][C]222[/C][C]0.999997927554981[/C][C]4.14489003907101e-06[/C][C]2.0724450195355e-06[/C][/ROW]
[ROW][C]223[/C][C]0.999998503024261[/C][C]2.9939514775344e-06[/C][C]1.4969757387672e-06[/C][/ROW]
[ROW][C]224[/C][C]0.999997663030337[/C][C]4.67393932585254e-06[/C][C]2.33696966292627e-06[/C][/ROW]
[ROW][C]225[/C][C]0.999996744512442[/C][C]6.51097511659167e-06[/C][C]3.25548755829584e-06[/C][/ROW]
[ROW][C]226[/C][C]0.999994465198819[/C][C]1.10696023623403e-05[/C][C]5.53480118117015e-06[/C][/ROW]
[ROW][C]227[/C][C]0.999990406176215[/C][C]1.91876475694563e-05[/C][C]9.59382378472816e-06[/C][/ROW]
[ROW][C]228[/C][C]0.999991475230927[/C][C]1.70495381451591e-05[/C][C]8.52476907257956e-06[/C][/ROW]
[ROW][C]229[/C][C]0.99999004408361[/C][C]1.99118327809377e-05[/C][C]9.95591639046886e-06[/C][/ROW]
[ROW][C]230[/C][C]0.999998752945897[/C][C]2.49410820623369e-06[/C][C]1.24705410311684e-06[/C][/ROW]
[ROW][C]231[/C][C]0.999997847181695[/C][C]4.30563660925668e-06[/C][C]2.15281830462834e-06[/C][/ROW]
[ROW][C]232[/C][C]0.99999887956996[/C][C]2.24086007901014e-06[/C][C]1.12043003950507e-06[/C][/ROW]
[ROW][C]233[/C][C]0.999998608323793[/C][C]2.78335241502381e-06[/C][C]1.39167620751191e-06[/C][/ROW]
[ROW][C]234[/C][C]0.999997525171347[/C][C]4.94965730660124e-06[/C][C]2.47482865330062e-06[/C][/ROW]
[ROW][C]235[/C][C]0.999997117665375[/C][C]5.76466924966129e-06[/C][C]2.88233462483064e-06[/C][/ROW]
[ROW][C]236[/C][C]0.999995095568857[/C][C]9.80886228597429e-06[/C][C]4.90443114298714e-06[/C][/ROW]
[ROW][C]237[/C][C]0.999991445632083[/C][C]1.71087358348378e-05[/C][C]8.55436791741892e-06[/C][/ROW]
[ROW][C]238[/C][C]0.999984580101683[/C][C]3.08397966330922e-05[/C][C]1.54198983165461e-05[/C][/ROW]
[ROW][C]239[/C][C]0.999972149011971[/C][C]5.57019760576073e-05[/C][C]2.78509880288036e-05[/C][/ROW]
[ROW][C]240[/C][C]0.999959274965068[/C][C]8.14500698639434e-05[/C][C]4.07250349319717e-05[/C][/ROW]
[ROW][C]241[/C][C]0.999954602597198[/C][C]9.0794805603888e-05[/C][C]4.5397402801944e-05[/C][/ROW]
[ROW][C]242[/C][C]0.999984352355161[/C][C]3.12952896771291e-05[/C][C]1.56476448385646e-05[/C][/ROW]
[ROW][C]243[/C][C]0.999970806004876[/C][C]5.8387990247645e-05[/C][C]2.91939951238225e-05[/C][/ROW]
[ROW][C]244[/C][C]0.999963450642512[/C][C]7.30987149751245e-05[/C][C]3.65493574875623e-05[/C][/ROW]
[ROW][C]245[/C][C]0.999939452952585[/C][C]0.000121094094830221[/C][C]6.05470474151105e-05[/C][/ROW]
[ROW][C]246[/C][C]0.999893864516668[/C][C]0.000212270966663909[/C][C]0.000106135483331954[/C][/ROW]
[ROW][C]247[/C][C]0.999987211991757[/C][C]2.55760164868561e-05[/C][C]1.2788008243428e-05[/C][/ROW]
[ROW][C]248[/C][C]0.999979325737275[/C][C]4.13485254492049e-05[/C][C]2.06742627246025e-05[/C][/ROW]
[ROW][C]249[/C][C]0.999960404022192[/C][C]7.91919556155953e-05[/C][C]3.95959778077976e-05[/C][/ROW]
[ROW][C]250[/C][C]0.999928331406082[/C][C]0.00014333718783651[/C][C]7.16685939182551e-05[/C][/ROW]
[ROW][C]251[/C][C]0.999871989729687[/C][C]0.00025602054062652[/C][C]0.00012801027031326[/C][/ROW]
[ROW][C]252[/C][C]0.999763464934832[/C][C]0.000473070130335016[/C][C]0.000236535065167508[/C][/ROW]
[ROW][C]253[/C][C]0.999585344117147[/C][C]0.000829311765705882[/C][C]0.000414655882852941[/C][/ROW]
[ROW][C]254[/C][C]0.999251031265641[/C][C]0.00149793746871864[/C][C]0.000748968734359319[/C][/ROW]
[ROW][C]255[/C][C]0.998777600703489[/C][C]0.00244479859302238[/C][C]0.00122239929651119[/C][/ROW]
[ROW][C]256[/C][C]0.998023730988998[/C][C]0.00395253802200351[/C][C]0.00197626901100176[/C][/ROW]
[ROW][C]257[/C][C]0.996631211767823[/C][C]0.00673757646435355[/C][C]0.00336878823217678[/C][/ROW]
[ROW][C]258[/C][C]0.994900376966677[/C][C]0.0101992460666465[/C][C]0.00509962303332324[/C][/ROW]
[ROW][C]259[/C][C]0.992151818056439[/C][C]0.0156963638871227[/C][C]0.00784818194356134[/C][/ROW]
[ROW][C]260[/C][C]0.987172023665057[/C][C]0.0256559526698859[/C][C]0.0128279763349429[/C][/ROW]
[ROW][C]261[/C][C]0.986180819099207[/C][C]0.0276383618015857[/C][C]0.0138191809007929[/C][/ROW]
[ROW][C]262[/C][C]0.977774840206933[/C][C]0.0444503195861337[/C][C]0.0222251597930669[/C][/ROW]
[ROW][C]263[/C][C]0.968061821577547[/C][C]0.0638763568449058[/C][C]0.0319381784224529[/C][/ROW]
[ROW][C]264[/C][C]0.952814370018484[/C][C]0.0943712599630326[/C][C]0.0471856299815163[/C][/ROW]
[ROW][C]265[/C][C]0.936362143670778[/C][C]0.127275712658443[/C][C]0.0636378563292216[/C][/ROW]
[ROW][C]266[/C][C]0.910620769595673[/C][C]0.178758460808655[/C][C]0.0893792304043274[/C][/ROW]
[ROW][C]267[/C][C]0.880343250462595[/C][C]0.23931349907481[/C][C]0.119656749537405[/C][/ROW]
[ROW][C]268[/C][C]0.890314896080763[/C][C]0.219370207838473[/C][C]0.109685103919237[/C][/ROW]
[ROW][C]269[/C][C]0.83967939735026[/C][C]0.320641205299479[/C][C]0.16032060264974[/C][/ROW]
[ROW][C]270[/C][C]0.934971409809833[/C][C]0.130057180380335[/C][C]0.0650285901901675[/C][/ROW]
[ROW][C]271[/C][C]0.920164719905651[/C][C]0.159670560188697[/C][C]0.0798352800943486[/C][/ROW]
[ROW][C]272[/C][C]0.898091139998809[/C][C]0.203817720002382[/C][C]0.101908860001191[/C][/ROW]
[ROW][C]273[/C][C]0.86045295983129[/C][C]0.279094080337421[/C][C]0.13954704016871[/C][/ROW]
[ROW][C]274[/C][C]0.817328573932008[/C][C]0.365342852135983[/C][C]0.182671426067992[/C][/ROW]
[ROW][C]275[/C][C]0.709910112176378[/C][C]0.580179775647245[/C][C]0.290089887823622[/C][/ROW]
[ROW][C]276[/C][C]0.932330451491853[/C][C]0.135339097016293[/C][C]0.0676695485081467[/C][/ROW]
[ROW][C]277[/C][C]0.839058376361244[/C][C]0.321883247277511[/C][C]0.160941623638756[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201010&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201010&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
120.1639842723298320.3279685446596640.836015727670168
130.3186677703796250.6373355407592490.681332229620375
140.195076890085920.3901537801718410.80492310991408
150.1125562597639460.2251125195278930.887443740236054
160.07197141503560580.1439428300712120.928028584964394
170.8712919103028910.2574161793942190.128708089697109
180.8283263644286510.3433472711426990.171673635571349
190.8406146229285470.3187707541429050.159385377071452
200.8008721383428470.3982557233143060.199127861657153
210.8150254037456150.369949192508770.184974596254385
220.7728627131606450.454274573678710.227137286839355
230.7249820741532680.5500358516934640.275017925846732
240.706972095886260.5860558082274810.29302790411374
250.6456102814381250.7087794371237490.354389718561875
260.5815046963995510.8369906072008980.418495303600449
270.5235168371714380.9529663256571230.476483162828562
280.4589382860077960.9178765720155920.541061713992204
290.395948124653450.7918962493069010.60405187534655
300.3347355603457110.6694711206914230.665264439654289
310.2829182737365430.5658365474730870.717081726263457
320.2462590912495770.4925181824991540.753740908750423
330.2036620628814460.4073241257628910.796337937118554
340.2195112049917960.4390224099835920.780488795008204
350.1776247570187330.3552495140374650.822375242981267
360.146648861380750.2932977227615010.85335113861925
370.1340393866332990.2680787732665970.865960613366701
380.1079073600503690.2158147201007370.892092639949631
390.1583661028902030.3167322057804060.841633897109797
400.1279639025660520.2559278051321040.872036097433948
410.101746463890030.2034929277800610.89825353610997
420.09348524585826820.1869704917165360.906514754141732
430.1591746814807860.3183493629615720.840825318519214
440.131519019818380.263038039636760.86848098018162
450.1201030293512430.2402060587024860.879896970648757
460.1272434583338080.2544869166676160.872756541666192
470.259055168734040.518110337468080.74094483126596
480.2416513211048380.4833026422096760.758348678895162
490.2521856339496970.5043712678993940.747814366050303
500.2205619121709870.4411238243419730.779438087829013
510.3152856596773820.6305713193547650.684714340322618
520.2803591034692420.5607182069384840.719640896530758
530.2820898600857990.5641797201715970.717910139914201
540.6671254042673480.6657491914653030.332874595732652
550.6452072056392610.7095855887214780.354792794360739
560.6050496433912340.7899007132175320.394950356608766
570.5697369155847480.8605261688305030.430263084415252
580.8102265723495630.3795468553008750.189773427650438
590.7819871839689570.4360256320620860.218012816031043
600.764829908854380.470340182291240.23517009114562
610.7878194610389540.4243610779220920.212180538961046
620.9039406934346540.1921186131306920.0960593065653459
630.9999999999553928.92165685012886e-114.46082842506443e-11
640.9999999999160751.67849037037148e-108.3924518518574e-11
650.9999999999023271.9534508171444e-109.76725408572198e-11
660.9999999999769444.61112030235386e-112.30556015117693e-11
670.9999999999672546.54917412718987e-113.27458706359493e-11
680.9999999999920441.59126102279674e-117.95630511398372e-12
690.9999999999872062.55885775873679e-111.2794288793684e-11
700.9999999999810973.78061454445422e-111.89030727222711e-11
710.9999999999710365.79283427722968e-112.89641713861484e-11
720.9999999999744545.10920515738382e-112.55460257869191e-11
730.9999999999707985.8404637958201e-112.92023189791005e-11
740.99999999994731.05399189089022e-105.26995945445109e-11
750.9999999999345441.3091239684819e-106.54561984240949e-11
760.9999999999019821.96035153710111e-109.80175768550557e-11
770.9999999999149171.70165993395667e-108.50829966978337e-11
780.9999999999079711.84058303258479e-109.20291516292394e-11
790.9999999998995922.00815470998653e-101.00407735499326e-10
800.9999999998631912.73618851165632e-101.36809425582816e-10
810.9999999999397161.20567526684661e-106.02837633423306e-11
820.999999999891182.17639761530646e-101.08819880765323e-10
830.9999999999879932.40132778850805e-111.20066389425402e-11
840.9999999999875572.48856100208402e-111.24428050104201e-11
850.9999999999780814.38384208201909e-112.19192104100954e-11
860.999999999964647.07193419969313e-113.53596709984656e-11
870.999999999942891.14220086796023e-105.71100433980114e-11
880.9999999999111571.7768650677997e-108.88432533899851e-11
890.9999999999726345.47313085785098e-112.73656542892549e-11
900.9999999999955998.80248558925917e-124.40124279462959e-12
910.9999999999960437.91307895711409e-123.95653947855705e-12
920.9999999999977994.40235097602976e-122.20117548801488e-12
930.9999999999984693.06105533834311e-121.53052766917156e-12
940.999999999997245.52039941422288e-122.76019970711144e-12
950.9999999999958058.38897075038473e-124.19448537519236e-12
960.999999999998832.33894734942918e-121.16947367471459e-12
970.999999999997894.21980180031251e-122.10990090015625e-12
980.9999999999976984.60379918194837e-122.30189959097418e-12
990.9999999999970445.91258432874882e-122.95629216437441e-12
1000.9999999999946561.06882548186974e-115.3441274093487e-12
1010.9999999999925031.49944734692581e-117.49723673462904e-12
1020.9999999999918241.63520935216578e-118.1760467608289e-12
1030.9999999999923351.53299464949273e-117.66497324746364e-12
1040.9999999999863662.72681339574359e-111.3634066978718e-11
1050.9999999999756454.87097802098014e-112.43548901049007e-11
1060.999999999970495.90198521860633e-112.95099260930316e-11
1070.9999999999790134.19733706499645e-112.09866853249822e-11
1080.9999999999925681.48645596274323e-117.43227981371614e-12
1090.9999999999889262.21487354905568e-111.10743677452784e-11
1100.9999999999800143.99720679106354e-111.99860339553177e-11
1110.9999999999662066.75883255453826e-113.37941627726913e-11
1120.9999999999764674.70654855401778e-112.35327427700889e-11
1130.999999999962937.41397729802943e-113.70698864901472e-11
1140.9999999999410691.1786184614659e-105.8930923073295e-11
1150.9999999999521959.56101189971797e-114.78050594985899e-11
1160.9999999999737995.2401202375794e-112.6200601187897e-11
1170.9999999999602287.9544458506079e-113.97722292530395e-11
1180.9999999999651596.96830050566932e-113.48415025283466e-11
1190.9999999999382031.23594645324137e-106.17973226620683e-11
1200.9999999999178851.64229692828272e-108.21148464141358e-11
1210.9999999999092461.81507566578139e-109.07537832890696e-11
1220.9999999998502012.99597782880109e-101.49798891440055e-10
1230.9999999997825144.34971861865909e-102.17485930932954e-10
1240.9999999996691396.6172171549095e-103.30860857745475e-10
1250.9999999994371891.12562158858813e-095.62810794294066e-10
1260.9999999990866431.82671461176133e-099.13357305880666e-10
1270.9999999985145722.97085550071111e-091.48542775035555e-09
1280.9999999989885822.02283539808722e-091.01141769904361e-09
1290.9999999988115542.37689289955627e-091.18844644977814e-09
1300.9999999980204313.95913691050944e-091.97956845525472e-09
1310.9999999968342246.33155233401602e-093.16577616700801e-09
1320.9999999948901171.02197664270988e-085.10988321354942e-09
1330.9999999931243811.37512388000538e-086.87561940002689e-09
1340.9999999977514934.49701310303808e-092.24850655151904e-09
1350.9999999968244656.35107068580767e-093.17553534290384e-09
1360.9999999963759097.24818274031625e-093.62409137015812e-09
1370.9999999940576571.18846868777601e-085.94234343888003e-09
1380.999999991652081.66958405373445e-088.34792026867226e-09
1390.999999987206262.55874802788475e-081.27937401394238e-08
1400.999999985119912.976017939143e-081.4880089695715e-08
1410.9999999757722144.84555725866336e-082.42277862933168e-08
1420.9999999853417882.93164247013932e-081.46582123506966e-08
1430.9999999786166234.27667531412017e-082.13833765706009e-08
1440.9999999678693376.42613258893457e-083.21306629446728e-08
1450.9999999502913029.94173957578021e-084.9708697878901e-08
1460.999999970540915.89181804945025e-082.94590902472513e-08
1470.9999999642203257.15593500360581e-083.57796750180291e-08
1480.9999999423825271.15234945402518e-075.7617472701259e-08
1490.9999999730912015.38175985626269e-082.69087992813134e-08
1500.9999999565748478.68503063793533e-084.34251531896767e-08
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1520.9999999132478591.73504281818599e-078.67521409092993e-08
1530.9999999050603091.89879382353948e-079.49396911769741e-08
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1550.999999990699751.86004996701883e-089.30024983509417e-09
1560.9999999874450282.51099432278546e-081.25549716139273e-08
1570.9999999893004772.1399045172006e-081.0699522586003e-08
1580.9999999907085041.85829930306824e-089.29149651534122e-09
1590.9999999847952583.04094846665436e-081.52047423332718e-08
1600.9999999998155073.68985940916952e-101.84492970458476e-10
1610.9999999998411013.17798140687251e-101.58899070343625e-10
1620.9999999998618542.76292343122505e-101.38146171561253e-10
1630.9999999998407993.18401604175863e-101.59200802087932e-10
1640.999999999954469.10807920954968e-114.55403960477484e-11
1650.9999999999402881.19423799783367e-105.97118998916833e-11
1660.9999999998956982.08603351372306e-101.04301675686153e-10
1670.9999999999148461.70308930004136e-108.51544650020681e-11
1680.999999999959078.1860767085669e-114.09303835428345e-11
1690.9999999999250471.49905893408566e-107.49529467042831e-11
1700.9999999998964992.07002488771718e-101.03501244385859e-10
1710.9999999999262221.47555952402989e-107.37779762014947e-11
1720.9999999998783722.43255968869688e-101.21627984434844e-10
1730.9999999999231681.53664037659962e-107.68320188299809e-11
1740.9999999998770162.45968039366362e-101.22984019683181e-10
1750.9999999999929171.41657548746998e-117.08287743734992e-12
1760.9999999999866852.66299522540309e-111.33149761270154e-11
1770.9999999999801763.96490421842205e-111.98245210921102e-11
1780.9999999999626727.46562421778128e-113.73281210889064e-11
1790.9999999999598348.033133638075e-114.0165668190375e-11
1800.9999999999320561.35887148477394e-106.79435742386971e-11
1810.999999999879032.41940111672681e-101.2097005583634e-10
1820.9999999998003813.99238535407718e-101.99619267703859e-10
1830.9999999996383227.2335530607574e-103.6167765303787e-10
1840.9999999993656331.2687337410485e-096.34366870524251e-10
1850.9999999994844691.03106190794715e-095.15530953973574e-10
1860.999999999086331.82733933682331e-099.13669668411657e-10
1870.9999999991036941.79261172689476e-098.96305863447382e-10
1880.9999999984027133.19457302561253e-091.59728651280627e-09
1890.9999999995342249.3155270892018e-104.6577635446009e-10
1900.9999999992180221.56395521533187e-097.81977607665936e-10
1910.9999999986064522.78709673082876e-091.39354836541438e-09
1920.9999999988320422.33591669327013e-091.16795834663506e-09
1930.9999999980003583.99928381119948e-091.99964190559974e-09
1940.999999996991386.01724016939515e-093.00862008469757e-09
1950.9999999957321168.5357685146628e-094.2678842573314e-09
1960.9999999925812781.48374433185106e-087.41872165925529e-09
1970.9999999904845821.90308353945043e-089.51541769725215e-09
1980.9999999842165853.15668306731034e-081.57834153365517e-08
1990.9999999805178913.89642178325611e-081.94821089162806e-08
2000.999999970082685.98346391130403e-082.99173195565202e-08
2010.9999999518543219.62913584587017e-084.81456792293509e-08
2020.9999999196193451.60761309747257e-078.03806548736284e-08
2030.9999998966030832.0679383325501e-071.03396916627505e-07
2040.9999998270495713.45900857904474e-071.72950428952237e-07
2050.9999997753187554.49362490372421e-072.2468124518621e-07
2060.9999996129484617.7410307788261e-073.87051538941305e-07
2070.9999996063563317.87287337156967e-073.93643668578484e-07
2080.999999515426979.69146060939209e-074.84573030469604e-07
2090.9999992034969671.59300606601553e-067.96503033007765e-07
2100.9999990885836481.82283270426087e-069.11416352130437e-07
2110.999998533963632.93207273968345e-061.46603636984172e-06
2120.9999993190592691.36188146179438e-066.80940730897192e-07
2130.999998825324482.34935103962798e-061.17467551981399e-06
2140.9999986830294272.63394114629366e-061.31697057314683e-06
2150.9999982720235163.45595296803741e-061.72797648401871e-06
2160.9999971225533015.75489339705015e-062.87744669852508e-06
2170.9999955169103878.96617922525293e-064.48308961262647e-06
2180.9999975475250434.90494991453758e-062.45247495726879e-06
2190.999997358518325.28296336080937e-062.64148168040468e-06
2200.9999954728273399.05434532266929e-064.52717266133464e-06
2210.9999927012279421.45975441162039e-057.29877205810193e-06
2220.9999979275549814.14489003907101e-062.0724450195355e-06
2230.9999985030242612.9939514775344e-061.4969757387672e-06
2240.9999976630303374.67393932585254e-062.33696966292627e-06
2250.9999967445124426.51097511659167e-063.25548755829584e-06
2260.9999944651988191.10696023623403e-055.53480118117015e-06
2270.9999904061762151.91876475694563e-059.59382378472816e-06
2280.9999914752309271.70495381451591e-058.52476907257956e-06
2290.999990044083611.99118327809377e-059.95591639046886e-06
2300.9999987529458972.49410820623369e-061.24705410311684e-06
2310.9999978471816954.30563660925668e-062.15281830462834e-06
2320.999998879569962.24086007901014e-061.12043003950507e-06
2330.9999986083237932.78335241502381e-061.39167620751191e-06
2340.9999975251713474.94965730660124e-062.47482865330062e-06
2350.9999971176653755.76466924966129e-062.88233462483064e-06
2360.9999950955688579.80886228597429e-064.90443114298714e-06
2370.9999914456320831.71087358348378e-058.55436791741892e-06
2380.9999845801016833.08397966330922e-051.54198983165461e-05
2390.9999721490119715.57019760576073e-052.78509880288036e-05
2400.9999592749650688.14500698639434e-054.07250349319717e-05
2410.9999546025971989.0794805603888e-054.5397402801944e-05
2420.9999843523551613.12952896771291e-051.56476448385646e-05
2430.9999708060048765.8387990247645e-052.91939951238225e-05
2440.9999634506425127.30987149751245e-053.65493574875623e-05
2450.9999394529525850.0001210940948302216.05470474151105e-05
2460.9998938645166680.0002122709666639090.000106135483331954
2470.9999872119917572.55760164868561e-051.2788008243428e-05
2480.9999793257372754.13485254492049e-052.06742627246025e-05
2490.9999604040221927.91919556155953e-053.95959778077976e-05
2500.9999283314060820.000143337187836517.16685939182551e-05
2510.9998719897296870.000256020540626520.00012801027031326
2520.9997634649348320.0004730701303350160.000236535065167508
2530.9995853441171470.0008293117657058820.000414655882852941
2540.9992510312656410.001497937468718640.000748968734359319
2550.9987776007034890.002444798593022380.00122239929651119
2560.9980237309889980.003952538022003510.00197626901100176
2570.9966312117678230.006737576464353550.00336878823217678
2580.9949003769666770.01019924606664650.00509962303332324
2590.9921518180564390.01569636388712270.00784818194356134
2600.9871720236650570.02565595266988590.0128279763349429
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2630.9680618215775470.06387635684490580.0319381784224529
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2660.9106207695956730.1787584608086550.0893792304043274
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2690.839679397350260.3206412052994790.16032060264974
2700.9349714098098330.1300571803803350.0650285901901675
2710.9201647199056510.1596705601886970.0798352800943486
2720.8980911399988090.2038177200023820.101908860001191
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2740.8173285739320080.3653428521359830.182671426067992
2750.7099101121763780.5801797756472450.290089887823622
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2770.8390583763612440.3218832472775110.160941623638756






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1950.733082706766917NOK
5% type I error level2000.75187969924812NOK
10% type I error level2020.759398496240602NOK

\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 & 195 & 0.733082706766917 & NOK \tabularnewline
5% type I error level & 200 & 0.75187969924812 & NOK \tabularnewline
10% type I error level & 202 & 0.759398496240602 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201010&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]195[/C][C]0.733082706766917[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]200[/C][C]0.75187969924812[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]202[/C][C]0.759398496240602[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201010&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201010&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 level1950.733082706766917NOK
5% type I error level2000.75187969924812NOK
10% type I error level2020.759398496240602NOK


Figures (Output of Computation)

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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')
}