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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 computationWed, 19 Dec 2012 12:30:59 -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/19/t1355938290rwgsgo6zpkyhrlh.htm/, Retrieved Sat, 04 May 2024 01:43:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=202220, Retrieved Sat, 04 May 2024 01:43:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact74

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [Multiple Regression] [2012-12-19 17:30:59] [4c7c16453d038d093cc11140275f1ca7] [Current]
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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'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=202220&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=202220&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=202220&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'Gwilym Jenkins' @ jenkins.wessa.net






Multiple Linear Regression - Estimated Regression Equation
Time_in_rfc[t] = -13252.7157987984 + 12.3015251064621Pageviews[t] + 268.299204213339Logins[t] + 135.409743530085Compendium_views_info[t] -82.6399070798182Compendium_views_pr[t] -675.653752653841Shared_compendiums[t] + 425.04731647132Blogged_computations[t] -731.114037164709Compendiums_reviewed[t] + 613.63046242315Feedback_messages[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Time_in_rfc[t] =  -13252.7157987984 +  12.3015251064621Pageviews[t] +  268.299204213339Logins[t] +  135.409743530085Compendium_views_info[t] -82.6399070798182Compendium_views_pr[t] -675.653752653841Shared_compendiums[t] +  425.04731647132Blogged_computations[t] -731.114037164709Compendiums_reviewed[t] +  613.63046242315Feedback_messages[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=202220&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Time_in_rfc[t] =  -13252.7157987984 +  12.3015251064621Pageviews[t] +  268.299204213339Logins[t] +  135.409743530085Compendium_views_info[t] -82.6399070798182Compendium_views_pr[t] -675.653752653841Shared_compendiums[t] +  425.04731647132Blogged_computations[t] -731.114037164709Compendiums_reviewed[t] +  613.63046242315Feedback_messages[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=202220&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=202220&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
Time_in_rfc[t] = -13252.7157987984 + 12.3015251064621Pageviews[t] + 268.299204213339Logins[t] + 135.409743530085Compendium_views_info[t] -82.6399070798182Compendium_views_pr[t] -675.653752653841Shared_compendiums[t] + 425.04731647132Blogged_computations[t] -731.114037164709Compendiums_reviewed[t] + 613.63046242315Feedback_messages[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-13252.71579879844436.283226-2.98730.0030630.001532
Pageviews12.301525106462110.4221471.18030.2388730.119436
Logins268.29920421333977.8569233.44610.0006560.000328
Compendium_views_info135.40974353008522.1191586.121800
Compendium_views_pr-82.639907079818241.845967-1.97490.0492660.024633
Shared_compendiums-675.653752653841675.500581-1.00020.3180640.159032
Blogged_computations425.0473164713289.5108764.74863e-062e-06
Compendiums_reviewed-731.114037164709885.040339-0.82610.4094620.204731
Feedback_messages613.63046242315236.3094332.59670.0099090.004954

\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) & -13252.7157987984 & 4436.283226 & -2.9873 & 0.003063 & 0.001532 \tabularnewline
Pageviews & 12.3015251064621 & 10.422147 & 1.1803 & 0.238873 & 0.119436 \tabularnewline
Logins & 268.299204213339 & 77.856923 & 3.4461 & 0.000656 & 0.000328 \tabularnewline
Compendium_views_info & 135.409743530085 & 22.119158 & 6.1218 & 0 & 0 \tabularnewline
Compendium_views_pr & -82.6399070798182 & 41.845967 & -1.9749 & 0.049266 & 0.024633 \tabularnewline
Shared_compendiums & -675.653752653841 & 675.500581 & -1.0002 & 0.318064 & 0.159032 \tabularnewline
Blogged_computations & 425.04731647132 & 89.510876 & 4.7486 & 3e-06 & 2e-06 \tabularnewline
Compendiums_reviewed & -731.114037164709 & 885.040339 & -0.8261 & 0.409462 & 0.204731 \tabularnewline
Feedback_messages & 613.63046242315 & 236.309433 & 2.5967 & 0.009909 & 0.004954 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=202220&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]-13252.7157987984[/C][C]4436.283226[/C][C]-2.9873[/C][C]0.003063[/C][C]0.001532[/C][/ROW]
[ROW][C]Pageviews[/C][C]12.3015251064621[/C][C]10.422147[/C][C]1.1803[/C][C]0.238873[/C][C]0.119436[/C][/ROW]
[ROW][C]Logins[/C][C]268.299204213339[/C][C]77.856923[/C][C]3.4461[/C][C]0.000656[/C][C]0.000328[/C][/ROW]
[ROW][C]Compendium_views_info[/C][C]135.409743530085[/C][C]22.119158[/C][C]6.1218[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]Compendium_views_pr[/C][C]-82.6399070798182[/C][C]41.845967[/C][C]-1.9749[/C][C]0.049266[/C][C]0.024633[/C][/ROW]
[ROW][C]Shared_compendiums[/C][C]-675.653752653841[/C][C]675.500581[/C][C]-1.0002[/C][C]0.318064[/C][C]0.159032[/C][/ROW]
[ROW][C]Blogged_computations[/C][C]425.04731647132[/C][C]89.510876[/C][C]4.7486[/C][C]3e-06[/C][C]2e-06[/C][/ROW]
[ROW][C]Compendiums_reviewed[/C][C]-731.114037164709[/C][C]885.040339[/C][C]-0.8261[/C][C]0.409462[/C][C]0.204731[/C][/ROW]
[ROW][C]Feedback_messages[/C][C]613.63046242315[/C][C]236.309433[/C][C]2.5967[/C][C]0.009909[/C][C]0.004954[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=202220&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=202220&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)-13252.71579879844436.283226-2.98730.0030630.001532
Pageviews12.301525106462110.4221471.18030.2388730.119436
Logins268.29920421333977.8569233.44610.0006560.000328
Compendium_views_info135.40974353008522.1191586.121800
Compendium_views_pr-82.639907079818241.845967-1.97490.0492660.024633
Shared_compendiums-675.653752653841675.500581-1.00020.3180640.159032
Blogged_computations425.0473164713289.5108764.74863e-062e-06
Compendiums_reviewed-731.114037164709885.040339-0.82610.4094620.204731
Feedback_messages613.63046242315236.3094332.59670.0099090.004954






Multiple Linear Regression - Regression Statistics
Multiple R0.941742445379925
R-squared0.886878833430162
Adjusted R-squared0.883646800099595
F-TEST (value)274.402749823941
F-TEST (DF numerator)8
F-TEST (DF denominator)280
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation28086.4528446232
Sum Squared Residuals220877673350.108

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.941742445379925 \tabularnewline
R-squared & 0.886878833430162 \tabularnewline
Adjusted R-squared & 0.883646800099595 \tabularnewline
F-TEST (value) & 274.402749823941 \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 & 28086.4528446232 \tabularnewline
Sum Squared Residuals & 220877673350.108 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=202220&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.941742445379925[/C][/ROW]
[ROW][C]R-squared[/C][C]0.886878833430162[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.883646800099595[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]274.402749823941[/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]28086.4528446232[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]220877673350.108[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=202220&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=202220&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 R0.941742445379925
R-squared0.886878833430162
Adjusted R-squared0.883646800099595
F-TEST (value)274.402749823941
F-TEST (DF numerator)8
F-TEST (DF denominator)280
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation28086.4528446232
Sum Squared Residuals220877673350.108






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1210907146329.88700955464577.1129904461
2120982116498.2206019424483.77939805805
3176508170821.533978895686.46602111045
4179321251757.574715778-72436.5747157783
512318587611.988342179235573.0116578208
65274656397.0376741701-3651.03767417007
7385534349173.09685911336360.9031408874
83317035642.277454664-2472.27745466402
910164588736.687287415512908.3127125845
10149061158653.168439616-9592.16843961589
11165446145905.00372152119540.9962784791
12237213204841.95854296532371.0414570347
13173326189182.701575667-15856.701575667
14133131137975.074910364-4844.07491036354
15258873240542.01550822118330.984491779
16180083162731.39150781417351.6084921863
17324799407161.336304168-82362.3363041683
18230964191170.71468771639793.2853122838
19236785235297.4872535421487.51274645795
20135473132017.9436058693455.0563941311
21202925202531.568643136393.431356863598
22215147204990.50004267910156.4999573205
23344297235409.095208308108887.904791692
24153935114083.61898546939851.381014531
25132943162484.173412439-29541.1734124391
26174724268599.843740826-93875.8437408262
27174415224017.782963911-49602.7829639112
28225548240616.064163598-15068.0641635984
29223632188857.9603018934774.0396981097
30124817132376.996729163-7559.99672916326
31221698202078.3004831119619.6995168901
32210767202499.0103879748267.9896120264
33170266169009.2111436711256.78885632896
34260561226418.90166977434142.0983302263
358485398868.9498052079-14015.9498052079
36294424264953.43440923729470.565590763
3710101170062.425284602130948.5747153979
38215641209049.0191540486591.98084595209
39325107260483.15302151564623.8469784847
4071762992.496482656454183.50351734355
41167542156199.38433350111342.615666499
4210640869341.448278018137066.5517219819
4396560125204.304850484-28644.3048504836
44265769271619.840677953-5850.84067795328
45269651294721.307854293-25070.3078542927
46149112158107.132289441-8995.13228944109
47175824221770.269733949-45946.2697339493
48152871145994.7624248836876.23757511662
49111665109847.3671637051817.63283629506
50116408168426.653320144-52018.6533201443
51362301316775.47585665345525.5241433471
527880087741.763263807-8941.76326380702
53183167198544.914678719-15377.9146787193
54277965309264.508112862-31299.5081128616
55150629200203.8307552-49574.8307552004
56168809164946.1494085593862.85059144112
572418834994.0354352786-10806.0354352786
58329267269560.57193114759706.4280688532
596502966755.6650995464-1726.66509954644
60101097106289.379748405-5192.37974840505
61218946211387.6320915517558.36790844854
62244052212882.20816229431169.791837706
63341570319625.09139172321944.9086082772
6410359793750.13177422079846.86822577931
65233328234293.892329079-965.892329078809
66256462247241.6475721389220.3524278625
67206161181251.52138442624909.4786155743
68311473306703.6374552884769.362544712
69235800230572.5622997285227.43770027176
70177939223533.605319773-45594.6053197733
71207176193179.7371249613996.2628750404
72196553144087.42098473652465.5790152642
73174184137944.54843201236239.4515679876
74143246161935.449686343-18689.4496863427
75187559220925.127353897-33366.1273538969
76187681206117.732655072-18436.7326550725
77119016156844.763843724-37828.7638437235
78182192199673.951051632-17481.951051632
797356697708.8918239638-24142.8918239638
80194979188248.2555704136730.74442958691
81167488164858.4788977542629.52110224608
82143756177540.825324829-33784.825324829
83275541231498.29263795744042.7073620428
84243199209701.00049960533497.9995003946
85182999165112.72219917517886.2778008253
86135649164059.993231321-28410.9932313209
87152299163033.112615723-10734.1126157226
88120221139404.508960836-19183.5089608362
89346485286656.58343377959828.4165662213
90145790153667.334800564-7877.33480056427
91193339155930.06758547737408.9324145226
928095392929.3711099551-11976.3711099551
93122774149937.273941292-27163.2739412922
94130585118615.20843582811969.791564172
9511261192673.732222683319937.2677773166
96286468268410.69498510618057.3050148944
97241066219617.95561452121448.044385479
98148446276010.409777017-127564.409777017
99204713191366.9880513313346.0119486705
100182079191093.862282296-9014.86228229553
101140344125338.32798571515005.6720142852
102220516243149.840395885-22633.8403958852
103243060194626.43206993848433.5679300623
104162765147261.60161362515503.3983863752
105182613146965.26750620535647.7324937953
106232138208595.78817682523542.211823175
107265318293839.278056042-28521.2780560424
10885574101636.34310617-16062.3431061697
109310839283682.62483212327156.3751678773
110225060223819.7782815681240.22171843246
111232317217623.13896578714693.8610342134
112144966167597.171711736-22631.1717117361
1134328755832.7565147105-12545.7565147105
114155754160196.906958576-4442.90695857639
115164709190576.233986141-25867.2339861414
116201940232678.440927888-30738.440927888
117235454256671.111575761-21217.1115757609
118220801174109.72250683646691.2774931645
1199946696162.23439899073303.76560100927
12092661111980.673732598-19319.6737325981
121133328140095.487967233-6767.48796723281
12261361105780.824508697-44419.8245086974
123125930152225.503011596-26295.5030115962
124100750157765.50358887-57015.5035888699
125224549145858.30522499978690.6947750015
1268231661352.071195940920963.9288040591
12710201090259.102747264311750.8972527356
128101523113165.000278444-11642.0002784438
129243511226928.3991011216582.6008988799
1302293818718.96766036754219.03233963248
1314156645169.573675205-3603.57367520502
132152474195479.219703944-43005.2197039442
1336185742574.639350694819282.3606493052
13499923164128.332810324-64205.3328103242
135132487149746.79599671-17259.7959967101
136317394264687.8171695552706.1828304501
1372105417105.49369193393948.50630806609
138209641170039.11019341539601.889806585
1392264840278.8248943026-17630.8248943026
1403141439774.9255640623-8360.92556406235
1414669871226.8054488822-24528.8054488822
142131698144396.795846433-12698.7958464329
1439173585652.0106881036082.98931189702
144244749256339.114630235-11590.114630235
145184510173293.92270439511216.0772956052
14679863102520.938023917-22657.9380239173
147128423130731.080876482-2308.08087648249
14897839109050.765232492-11211.7652324918
1493821453452.404702727-15238.404702727
150151101148630.2441089822470.75589101835
151272458244333.84499724228124.1550027585
152172494152106.25153804520387.7484619549
153108043122918.609157516-14875.6091575159
154328107319041.9034153229065.09658467829
155250579235957.62729867614621.3727013239
156351067306186.07188643744880.928113563
157158015133147.67195696124867.3280430385
1589886677993.960767536920872.0392324631
15985439108149.199351595-22710.1993515951
160229242241736.505282287-12494.5052822866
161351619330035.83368417421583.1663158263
1628420794744.856916318-10537.856916318
163120445131578.106939032-11133.1069390323
164324598340074.892635518-15476.8926355176
165131069161450.310241505-30381.3102415052
166204271167784.50813698436486.4918630159
167165543169699.230223478-4156.23022347826
168141722135075.987870026646.01212997973
16911604895633.490976904220414.5090230958
170250047163365.53566338786681.464336613
171299775314129.011540891-14354.0115408912
172195838192170.4304448193667.56955518124
173173260171102.8279322122157.17206778751
174254488242256.58962410112231.4103758995
175104389189974.491821335-85585.4918213346
176136084132620.4983858373463.50161416284
177199476230030.793113548-30554.7931135481
1789249986673.75092074795825.24907925212
179224330225817.387570047-1487.38757004723
18013578197405.23701950738375.762980493
1817440896560.2731155583-22152.2731155583
18281240138807.393708142-57567.3937081416
183146885186.709406315149501.29059368486
184181633162360.46322785219272.5367721483
185271856257126.86618712714729.1338128726
18671992941.96274986964257.0372501304
1874666043086.28995884423573.71004115578
18817547642.05565714373716904.9443428563
189133368127175.534965896192.46503411025
1909522793618.60509453091608.39490546909
191152601124986.2085714527614.7914285495
19298146104771.243206513-6625.24320651323
1937961995144.991499559-15525.991499559
1945919460279.8214109309-1085.82141093087
195139942138938.5303126641003.46968733569
196118612114156.1789067714455.8210932285
1977288093016.7840327901-20136.7840327901
1986547554878.364525648710596.6354743513
19999643132280.808139783-32637.8081397835
2007196575181.7177416218-3216.71774162176
2017727271242.1743982086029.82560179202
2024928947081.05470727152207.94529272847
203135131121327.26016162913803.739838371
204108446101210.8340038727235.16599612799
20589746122484.304693524-32738.3046935237
2064429657619.3927442401-13323.3927442401
2077764885833.5056559546-8185.50565595459
208181528136326.52395467345201.4760453272
209134019110580.99685455123438.0031454494
210124064125278.823409529-1214.82340952897
2119263081081.430553862911548.5694461371
21212184897404.636084959124443.3639150408
2135291555158.6816523206-2243.68165232063
2148187279975.57660796491896.42339203512
2155898193200.6448996092-34219.6448996092
2165351566461.281910847-12946.281910847
2176081294351.1121417378-33539.1121417378
2185637548729.55582131857645.44417868148
2196549064113.66393631741376.33606368255
2208094954009.008354427926939.9916455721
2217630294587.3906027214-18285.3906027214
222104011112293.800442337-8282.800442337
22398104151738.060586097-53634.0605860971
2246798962817.86758737015171.13241262991
2253098935330.1109130684-4341.11091306841
226135458136511.688565634-1053.688565634
2277350453927.829202031319576.1707979687
2286312389560.6969480979-26437.6969480979
2296125483528.2772869192-22274.2772869192
23074914115756.359660506-40842.3596605059
2313177447091.4826607237-15317.4826607238
2328143786810.8096981722-5373.80969817216
23387186120396.289219451-33210.2892194514
2345009056894.9952396653-6804.99523966525
2356574595799.0359273554-30054.0359273554
2365665371368.7751763247-14715.7751763247
237158399109790.21501345948608.784986541
2384645562865.0738743812-16410.0738743812
2397362487695.4599135397-14071.4599135397
2403839561748.8863716706-23353.8863716706
2419189982727.91306852239171.08693147765
242139526139540.04058369-14.0405836903188
2435216470734.4636063844-18570.4636063844
2445156759751.8265103118-8184.82651031179
2457055169902.3845376666648.615462333417
2468485696889.8592487957-12033.8592487957
247102538127434.454422083-24896.4544220834
2488667865081.245141590221596.7548584098
2498570977411.41025400288297.58974599721
2503466247622.5082905014-12960.5082905014
251150580134894.7712219215685.2287780803
2529961192705.86954814416905.13045185591
253193496284.1302333100813064.8697666899
25499373100160.633896279-787.63389627851
25586230106307.079736382-20077.0797363818
2563083730153.047099582683.952900418043
2573170641869.1972146101-10163.1972146101
2588980681887.8968047747918.10319522596
2596208850298.989498459411789.0105015406
2604015135021.14338197975129.85661802034
2612763445544.6238489928-17910.6238489928
2627699069803.68153700267186.31846299739
2633746024978.579739792312481.4202602077
2645415763499.8398695833-9342.83986958327
2654986260022.0189646415-10160.0189646415
2668433778953.67890649415383.32109350592
2676417586214.0257294571-22039.0257294571
2685938263315.0486025276-3933.0486025276
26911930871224.799481988548083.2005180115
2707670292233.872794178-15531.872794178
271103425112012.697280639-8587.6972806388
2727034466027.2033139184316.79668608202
2734341039833.99514424283576.00485575718
274104838101293.3795300413544.62046995889
2756221552829.18822046719385.8117795329
2766930489779.0888886195-20475.0888886195
2775311738748.633543111314368.3664568887
278197649080.0168744583310683.9831255417
2798668090362.5581043121-3682.55810431212
2808410568049.909699405716055.0903005943
2817794582633.7354203812-4688.7354203812
2828911370025.086204383719087.9137956163
2839100593216.4562782892-2211.45627828924
2844024827896.598054500712351.4019454993
2856418761125.53091648723061.46908351283
2865085758885.1544430708-8028.15444307081
2875661354474.54946259222138.45053740784
2886279263233.1320389989-441.132038998914
2897253577215.0155957101-4680.01559571011

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 210907 & 146329.887009554 & 64577.1129904461 \tabularnewline
2 & 120982 & 116498.220601942 & 4483.77939805805 \tabularnewline
3 & 176508 & 170821.53397889 & 5686.46602111045 \tabularnewline
4 & 179321 & 251757.574715778 & -72436.5747157783 \tabularnewline
5 & 123185 & 87611.9883421792 & 35573.0116578208 \tabularnewline
6 & 52746 & 56397.0376741701 & -3651.03767417007 \tabularnewline
7 & 385534 & 349173.096859113 & 36360.9031408874 \tabularnewline
8 & 33170 & 35642.277454664 & -2472.27745466402 \tabularnewline
9 & 101645 & 88736.6872874155 & 12908.3127125845 \tabularnewline
10 & 149061 & 158653.168439616 & -9592.16843961589 \tabularnewline
11 & 165446 & 145905.003721521 & 19540.9962784791 \tabularnewline
12 & 237213 & 204841.958542965 & 32371.0414570347 \tabularnewline
13 & 173326 & 189182.701575667 & -15856.701575667 \tabularnewline
14 & 133131 & 137975.074910364 & -4844.07491036354 \tabularnewline
15 & 258873 & 240542.015508221 & 18330.984491779 \tabularnewline
16 & 180083 & 162731.391507814 & 17351.6084921863 \tabularnewline
17 & 324799 & 407161.336304168 & -82362.3363041683 \tabularnewline
18 & 230964 & 191170.714687716 & 39793.2853122838 \tabularnewline
19 & 236785 & 235297.487253542 & 1487.51274645795 \tabularnewline
20 & 135473 & 132017.943605869 & 3455.0563941311 \tabularnewline
21 & 202925 & 202531.568643136 & 393.431356863598 \tabularnewline
22 & 215147 & 204990.500042679 & 10156.4999573205 \tabularnewline
23 & 344297 & 235409.095208308 & 108887.904791692 \tabularnewline
24 & 153935 & 114083.618985469 & 39851.381014531 \tabularnewline
25 & 132943 & 162484.173412439 & -29541.1734124391 \tabularnewline
26 & 174724 & 268599.843740826 & -93875.8437408262 \tabularnewline
27 & 174415 & 224017.782963911 & -49602.7829639112 \tabularnewline
28 & 225548 & 240616.064163598 & -15068.0641635984 \tabularnewline
29 & 223632 & 188857.96030189 & 34774.0396981097 \tabularnewline
30 & 124817 & 132376.996729163 & -7559.99672916326 \tabularnewline
31 & 221698 & 202078.30048311 & 19619.6995168901 \tabularnewline
32 & 210767 & 202499.010387974 & 8267.9896120264 \tabularnewline
33 & 170266 & 169009.211143671 & 1256.78885632896 \tabularnewline
34 & 260561 & 226418.901669774 & 34142.0983302263 \tabularnewline
35 & 84853 & 98868.9498052079 & -14015.9498052079 \tabularnewline
36 & 294424 & 264953.434409237 & 29470.565590763 \tabularnewline
37 & 101011 & 70062.4252846021 & 30948.5747153979 \tabularnewline
38 & 215641 & 209049.019154048 & 6591.98084595209 \tabularnewline
39 & 325107 & 260483.153021515 & 64623.8469784847 \tabularnewline
40 & 7176 & 2992.49648265645 & 4183.50351734355 \tabularnewline
41 & 167542 & 156199.384333501 & 11342.615666499 \tabularnewline
42 & 106408 & 69341.4482780181 & 37066.5517219819 \tabularnewline
43 & 96560 & 125204.304850484 & -28644.3048504836 \tabularnewline
44 & 265769 & 271619.840677953 & -5850.84067795328 \tabularnewline
45 & 269651 & 294721.307854293 & -25070.3078542927 \tabularnewline
46 & 149112 & 158107.132289441 & -8995.13228944109 \tabularnewline
47 & 175824 & 221770.269733949 & -45946.2697339493 \tabularnewline
48 & 152871 & 145994.762424883 & 6876.23757511662 \tabularnewline
49 & 111665 & 109847.367163705 & 1817.63283629506 \tabularnewline
50 & 116408 & 168426.653320144 & -52018.6533201443 \tabularnewline
51 & 362301 & 316775.475856653 & 45525.5241433471 \tabularnewline
52 & 78800 & 87741.763263807 & -8941.76326380702 \tabularnewline
53 & 183167 & 198544.914678719 & -15377.9146787193 \tabularnewline
54 & 277965 & 309264.508112862 & -31299.5081128616 \tabularnewline
55 & 150629 & 200203.8307552 & -49574.8307552004 \tabularnewline
56 & 168809 & 164946.149408559 & 3862.85059144112 \tabularnewline
57 & 24188 & 34994.0354352786 & -10806.0354352786 \tabularnewline
58 & 329267 & 269560.571931147 & 59706.4280688532 \tabularnewline
59 & 65029 & 66755.6650995464 & -1726.66509954644 \tabularnewline
60 & 101097 & 106289.379748405 & -5192.37974840505 \tabularnewline
61 & 218946 & 211387.632091551 & 7558.36790844854 \tabularnewline
62 & 244052 & 212882.208162294 & 31169.791837706 \tabularnewline
63 & 341570 & 319625.091391723 & 21944.9086082772 \tabularnewline
64 & 103597 & 93750.1317742207 & 9846.86822577931 \tabularnewline
65 & 233328 & 234293.892329079 & -965.892329078809 \tabularnewline
66 & 256462 & 247241.647572138 & 9220.3524278625 \tabularnewline
67 & 206161 & 181251.521384426 & 24909.4786155743 \tabularnewline
68 & 311473 & 306703.637455288 & 4769.362544712 \tabularnewline
69 & 235800 & 230572.562299728 & 5227.43770027176 \tabularnewline
70 & 177939 & 223533.605319773 & -45594.6053197733 \tabularnewline
71 & 207176 & 193179.73712496 & 13996.2628750404 \tabularnewline
72 & 196553 & 144087.420984736 & 52465.5790152642 \tabularnewline
73 & 174184 & 137944.548432012 & 36239.4515679876 \tabularnewline
74 & 143246 & 161935.449686343 & -18689.4496863427 \tabularnewline
75 & 187559 & 220925.127353897 & -33366.1273538969 \tabularnewline
76 & 187681 & 206117.732655072 & -18436.7326550725 \tabularnewline
77 & 119016 & 156844.763843724 & -37828.7638437235 \tabularnewline
78 & 182192 & 199673.951051632 & -17481.951051632 \tabularnewline
79 & 73566 & 97708.8918239638 & -24142.8918239638 \tabularnewline
80 & 194979 & 188248.255570413 & 6730.74442958691 \tabularnewline
81 & 167488 & 164858.478897754 & 2629.52110224608 \tabularnewline
82 & 143756 & 177540.825324829 & -33784.825324829 \tabularnewline
83 & 275541 & 231498.292637957 & 44042.7073620428 \tabularnewline
84 & 243199 & 209701.000499605 & 33497.9995003946 \tabularnewline
85 & 182999 & 165112.722199175 & 17886.2778008253 \tabularnewline
86 & 135649 & 164059.993231321 & -28410.9932313209 \tabularnewline
87 & 152299 & 163033.112615723 & -10734.1126157226 \tabularnewline
88 & 120221 & 139404.508960836 & -19183.5089608362 \tabularnewline
89 & 346485 & 286656.583433779 & 59828.4165662213 \tabularnewline
90 & 145790 & 153667.334800564 & -7877.33480056427 \tabularnewline
91 & 193339 & 155930.067585477 & 37408.9324145226 \tabularnewline
92 & 80953 & 92929.3711099551 & -11976.3711099551 \tabularnewline
93 & 122774 & 149937.273941292 & -27163.2739412922 \tabularnewline
94 & 130585 & 118615.208435828 & 11969.791564172 \tabularnewline
95 & 112611 & 92673.7322226833 & 19937.2677773166 \tabularnewline
96 & 286468 & 268410.694985106 & 18057.3050148944 \tabularnewline
97 & 241066 & 219617.955614521 & 21448.044385479 \tabularnewline
98 & 148446 & 276010.409777017 & -127564.409777017 \tabularnewline
99 & 204713 & 191366.98805133 & 13346.0119486705 \tabularnewline
100 & 182079 & 191093.862282296 & -9014.86228229553 \tabularnewline
101 & 140344 & 125338.327985715 & 15005.6720142852 \tabularnewline
102 & 220516 & 243149.840395885 & -22633.8403958852 \tabularnewline
103 & 243060 & 194626.432069938 & 48433.5679300623 \tabularnewline
104 & 162765 & 147261.601613625 & 15503.3983863752 \tabularnewline
105 & 182613 & 146965.267506205 & 35647.7324937953 \tabularnewline
106 & 232138 & 208595.788176825 & 23542.211823175 \tabularnewline
107 & 265318 & 293839.278056042 & -28521.2780560424 \tabularnewline
108 & 85574 & 101636.34310617 & -16062.3431061697 \tabularnewline
109 & 310839 & 283682.624832123 & 27156.3751678773 \tabularnewline
110 & 225060 & 223819.778281568 & 1240.22171843246 \tabularnewline
111 & 232317 & 217623.138965787 & 14693.8610342134 \tabularnewline
112 & 144966 & 167597.171711736 & -22631.1717117361 \tabularnewline
113 & 43287 & 55832.7565147105 & -12545.7565147105 \tabularnewline
114 & 155754 & 160196.906958576 & -4442.90695857639 \tabularnewline
115 & 164709 & 190576.233986141 & -25867.2339861414 \tabularnewline
116 & 201940 & 232678.440927888 & -30738.440927888 \tabularnewline
117 & 235454 & 256671.111575761 & -21217.1115757609 \tabularnewline
118 & 220801 & 174109.722506836 & 46691.2774931645 \tabularnewline
119 & 99466 & 96162.2343989907 & 3303.76560100927 \tabularnewline
120 & 92661 & 111980.673732598 & -19319.6737325981 \tabularnewline
121 & 133328 & 140095.487967233 & -6767.48796723281 \tabularnewline
122 & 61361 & 105780.824508697 & -44419.8245086974 \tabularnewline
123 & 125930 & 152225.503011596 & -26295.5030115962 \tabularnewline
124 & 100750 & 157765.50358887 & -57015.5035888699 \tabularnewline
125 & 224549 & 145858.305224999 & 78690.6947750015 \tabularnewline
126 & 82316 & 61352.0711959409 & 20963.9288040591 \tabularnewline
127 & 102010 & 90259.1027472643 & 11750.8972527356 \tabularnewline
128 & 101523 & 113165.000278444 & -11642.0002784438 \tabularnewline
129 & 243511 & 226928.39910112 & 16582.6008988799 \tabularnewline
130 & 22938 & 18718.9676603675 & 4219.03233963248 \tabularnewline
131 & 41566 & 45169.573675205 & -3603.57367520502 \tabularnewline
132 & 152474 & 195479.219703944 & -43005.2197039442 \tabularnewline
133 & 61857 & 42574.6393506948 & 19282.3606493052 \tabularnewline
134 & 99923 & 164128.332810324 & -64205.3328103242 \tabularnewline
135 & 132487 & 149746.79599671 & -17259.7959967101 \tabularnewline
136 & 317394 & 264687.81716955 & 52706.1828304501 \tabularnewline
137 & 21054 & 17105.4936919339 & 3948.50630806609 \tabularnewline
138 & 209641 & 170039.110193415 & 39601.889806585 \tabularnewline
139 & 22648 & 40278.8248943026 & -17630.8248943026 \tabularnewline
140 & 31414 & 39774.9255640623 & -8360.92556406235 \tabularnewline
141 & 46698 & 71226.8054488822 & -24528.8054488822 \tabularnewline
142 & 131698 & 144396.795846433 & -12698.7958464329 \tabularnewline
143 & 91735 & 85652.010688103 & 6082.98931189702 \tabularnewline
144 & 244749 & 256339.114630235 & -11590.114630235 \tabularnewline
145 & 184510 & 173293.922704395 & 11216.0772956052 \tabularnewline
146 & 79863 & 102520.938023917 & -22657.9380239173 \tabularnewline
147 & 128423 & 130731.080876482 & -2308.08087648249 \tabularnewline
148 & 97839 & 109050.765232492 & -11211.7652324918 \tabularnewline
149 & 38214 & 53452.404702727 & -15238.404702727 \tabularnewline
150 & 151101 & 148630.244108982 & 2470.75589101835 \tabularnewline
151 & 272458 & 244333.844997242 & 28124.1550027585 \tabularnewline
152 & 172494 & 152106.251538045 & 20387.7484619549 \tabularnewline
153 & 108043 & 122918.609157516 & -14875.6091575159 \tabularnewline
154 & 328107 & 319041.903415322 & 9065.09658467829 \tabularnewline
155 & 250579 & 235957.627298676 & 14621.3727013239 \tabularnewline
156 & 351067 & 306186.071886437 & 44880.928113563 \tabularnewline
157 & 158015 & 133147.671956961 & 24867.3280430385 \tabularnewline
158 & 98866 & 77993.9607675369 & 20872.0392324631 \tabularnewline
159 & 85439 & 108149.199351595 & -22710.1993515951 \tabularnewline
160 & 229242 & 241736.505282287 & -12494.5052822866 \tabularnewline
161 & 351619 & 330035.833684174 & 21583.1663158263 \tabularnewline
162 & 84207 & 94744.856916318 & -10537.856916318 \tabularnewline
163 & 120445 & 131578.106939032 & -11133.1069390323 \tabularnewline
164 & 324598 & 340074.892635518 & -15476.8926355176 \tabularnewline
165 & 131069 & 161450.310241505 & -30381.3102415052 \tabularnewline
166 & 204271 & 167784.508136984 & 36486.4918630159 \tabularnewline
167 & 165543 & 169699.230223478 & -4156.23022347826 \tabularnewline
168 & 141722 & 135075.98787002 & 6646.01212997973 \tabularnewline
169 & 116048 & 95633.4909769042 & 20414.5090230958 \tabularnewline
170 & 250047 & 163365.535663387 & 86681.464336613 \tabularnewline
171 & 299775 & 314129.011540891 & -14354.0115408912 \tabularnewline
172 & 195838 & 192170.430444819 & 3667.56955518124 \tabularnewline
173 & 173260 & 171102.827932212 & 2157.17206778751 \tabularnewline
174 & 254488 & 242256.589624101 & 12231.4103758995 \tabularnewline
175 & 104389 & 189974.491821335 & -85585.4918213346 \tabularnewline
176 & 136084 & 132620.498385837 & 3463.50161416284 \tabularnewline
177 & 199476 & 230030.793113548 & -30554.7931135481 \tabularnewline
178 & 92499 & 86673.7509207479 & 5825.24907925212 \tabularnewline
179 & 224330 & 225817.387570047 & -1487.38757004723 \tabularnewline
180 & 135781 & 97405.237019507 & 38375.762980493 \tabularnewline
181 & 74408 & 96560.2731155583 & -22152.2731155583 \tabularnewline
182 & 81240 & 138807.393708142 & -57567.3937081416 \tabularnewline
183 & 14688 & 5186.70940631514 & 9501.29059368486 \tabularnewline
184 & 181633 & 162360.463227852 & 19272.5367721483 \tabularnewline
185 & 271856 & 257126.866187127 & 14729.1338128726 \tabularnewline
186 & 7199 & 2941.9627498696 & 4257.0372501304 \tabularnewline
187 & 46660 & 43086.2899588442 & 3573.71004115578 \tabularnewline
188 & 17547 & 642.055657143737 & 16904.9443428563 \tabularnewline
189 & 133368 & 127175.53496589 & 6192.46503411025 \tabularnewline
190 & 95227 & 93618.6050945309 & 1608.39490546909 \tabularnewline
191 & 152601 & 124986.20857145 & 27614.7914285495 \tabularnewline
192 & 98146 & 104771.243206513 & -6625.24320651323 \tabularnewline
193 & 79619 & 95144.991499559 & -15525.991499559 \tabularnewline
194 & 59194 & 60279.8214109309 & -1085.82141093087 \tabularnewline
195 & 139942 & 138938.530312664 & 1003.46968733569 \tabularnewline
196 & 118612 & 114156.178906771 & 4455.8210932285 \tabularnewline
197 & 72880 & 93016.7840327901 & -20136.7840327901 \tabularnewline
198 & 65475 & 54878.3645256487 & 10596.6354743513 \tabularnewline
199 & 99643 & 132280.808139783 & -32637.8081397835 \tabularnewline
200 & 71965 & 75181.7177416218 & -3216.71774162176 \tabularnewline
201 & 77272 & 71242.174398208 & 6029.82560179202 \tabularnewline
202 & 49289 & 47081.0547072715 & 2207.94529272847 \tabularnewline
203 & 135131 & 121327.260161629 & 13803.739838371 \tabularnewline
204 & 108446 & 101210.834003872 & 7235.16599612799 \tabularnewline
205 & 89746 & 122484.304693524 & -32738.3046935237 \tabularnewline
206 & 44296 & 57619.3927442401 & -13323.3927442401 \tabularnewline
207 & 77648 & 85833.5056559546 & -8185.50565595459 \tabularnewline
208 & 181528 & 136326.523954673 & 45201.4760453272 \tabularnewline
209 & 134019 & 110580.996854551 & 23438.0031454494 \tabularnewline
210 & 124064 & 125278.823409529 & -1214.82340952897 \tabularnewline
211 & 92630 & 81081.4305538629 & 11548.5694461371 \tabularnewline
212 & 121848 & 97404.6360849591 & 24443.3639150408 \tabularnewline
213 & 52915 & 55158.6816523206 & -2243.68165232063 \tabularnewline
214 & 81872 & 79975.5766079649 & 1896.42339203512 \tabularnewline
215 & 58981 & 93200.6448996092 & -34219.6448996092 \tabularnewline
216 & 53515 & 66461.281910847 & -12946.281910847 \tabularnewline
217 & 60812 & 94351.1121417378 & -33539.1121417378 \tabularnewline
218 & 56375 & 48729.5558213185 & 7645.44417868148 \tabularnewline
219 & 65490 & 64113.6639363174 & 1376.33606368255 \tabularnewline
220 & 80949 & 54009.0083544279 & 26939.9916455721 \tabularnewline
221 & 76302 & 94587.3906027214 & -18285.3906027214 \tabularnewline
222 & 104011 & 112293.800442337 & -8282.800442337 \tabularnewline
223 & 98104 & 151738.060586097 & -53634.0605860971 \tabularnewline
224 & 67989 & 62817.8675873701 & 5171.13241262991 \tabularnewline
225 & 30989 & 35330.1109130684 & -4341.11091306841 \tabularnewline
226 & 135458 & 136511.688565634 & -1053.688565634 \tabularnewline
227 & 73504 & 53927.8292020313 & 19576.1707979687 \tabularnewline
228 & 63123 & 89560.6969480979 & -26437.6969480979 \tabularnewline
229 & 61254 & 83528.2772869192 & -22274.2772869192 \tabularnewline
230 & 74914 & 115756.359660506 & -40842.3596605059 \tabularnewline
231 & 31774 & 47091.4826607237 & -15317.4826607238 \tabularnewline
232 & 81437 & 86810.8096981722 & -5373.80969817216 \tabularnewline
233 & 87186 & 120396.289219451 & -33210.2892194514 \tabularnewline
234 & 50090 & 56894.9952396653 & -6804.99523966525 \tabularnewline
235 & 65745 & 95799.0359273554 & -30054.0359273554 \tabularnewline
236 & 56653 & 71368.7751763247 & -14715.7751763247 \tabularnewline
237 & 158399 & 109790.215013459 & 48608.784986541 \tabularnewline
238 & 46455 & 62865.0738743812 & -16410.0738743812 \tabularnewline
239 & 73624 & 87695.4599135397 & -14071.4599135397 \tabularnewline
240 & 38395 & 61748.8863716706 & -23353.8863716706 \tabularnewline
241 & 91899 & 82727.9130685223 & 9171.08693147765 \tabularnewline
242 & 139526 & 139540.04058369 & -14.0405836903188 \tabularnewline
243 & 52164 & 70734.4636063844 & -18570.4636063844 \tabularnewline
244 & 51567 & 59751.8265103118 & -8184.82651031179 \tabularnewline
245 & 70551 & 69902.3845376666 & 648.615462333417 \tabularnewline
246 & 84856 & 96889.8592487957 & -12033.8592487957 \tabularnewline
247 & 102538 & 127434.454422083 & -24896.4544220834 \tabularnewline
248 & 86678 & 65081.2451415902 & 21596.7548584098 \tabularnewline
249 & 85709 & 77411.4102540028 & 8297.58974599721 \tabularnewline
250 & 34662 & 47622.5082905014 & -12960.5082905014 \tabularnewline
251 & 150580 & 134894.77122192 & 15685.2287780803 \tabularnewline
252 & 99611 & 92705.8695481441 & 6905.13045185591 \tabularnewline
253 & 19349 & 6284.13023331008 & 13064.8697666899 \tabularnewline
254 & 99373 & 100160.633896279 & -787.63389627851 \tabularnewline
255 & 86230 & 106307.079736382 & -20077.0797363818 \tabularnewline
256 & 30837 & 30153.047099582 & 683.952900418043 \tabularnewline
257 & 31706 & 41869.1972146101 & -10163.1972146101 \tabularnewline
258 & 89806 & 81887.896804774 & 7918.10319522596 \tabularnewline
259 & 62088 & 50298.9894984594 & 11789.0105015406 \tabularnewline
260 & 40151 & 35021.1433819797 & 5129.85661802034 \tabularnewline
261 & 27634 & 45544.6238489928 & -17910.6238489928 \tabularnewline
262 & 76990 & 69803.6815370026 & 7186.31846299739 \tabularnewline
263 & 37460 & 24978.5797397923 & 12481.4202602077 \tabularnewline
264 & 54157 & 63499.8398695833 & -9342.83986958327 \tabularnewline
265 & 49862 & 60022.0189646415 & -10160.0189646415 \tabularnewline
266 & 84337 & 78953.6789064941 & 5383.32109350592 \tabularnewline
267 & 64175 & 86214.0257294571 & -22039.0257294571 \tabularnewline
268 & 59382 & 63315.0486025276 & -3933.0486025276 \tabularnewline
269 & 119308 & 71224.7994819885 & 48083.2005180115 \tabularnewline
270 & 76702 & 92233.872794178 & -15531.872794178 \tabularnewline
271 & 103425 & 112012.697280639 & -8587.6972806388 \tabularnewline
272 & 70344 & 66027.203313918 & 4316.79668608202 \tabularnewline
273 & 43410 & 39833.9951442428 & 3576.00485575718 \tabularnewline
274 & 104838 & 101293.379530041 & 3544.62046995889 \tabularnewline
275 & 62215 & 52829.1882204671 & 9385.8117795329 \tabularnewline
276 & 69304 & 89779.0888886195 & -20475.0888886195 \tabularnewline
277 & 53117 & 38748.6335431113 & 14368.3664568887 \tabularnewline
278 & 19764 & 9080.01687445833 & 10683.9831255417 \tabularnewline
279 & 86680 & 90362.5581043121 & -3682.55810431212 \tabularnewline
280 & 84105 & 68049.9096994057 & 16055.0903005943 \tabularnewline
281 & 77945 & 82633.7354203812 & -4688.7354203812 \tabularnewline
282 & 89113 & 70025.0862043837 & 19087.9137956163 \tabularnewline
283 & 91005 & 93216.4562782892 & -2211.45627828924 \tabularnewline
284 & 40248 & 27896.5980545007 & 12351.4019454993 \tabularnewline
285 & 64187 & 61125.5309164872 & 3061.46908351283 \tabularnewline
286 & 50857 & 58885.1544430708 & -8028.15444307081 \tabularnewline
287 & 56613 & 54474.5494625922 & 2138.45053740784 \tabularnewline
288 & 62792 & 63233.1320389989 & -441.132038998914 \tabularnewline
289 & 72535 & 77215.0155957101 & -4680.01559571011 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=202220&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]210907[/C][C]146329.887009554[/C][C]64577.1129904461[/C][/ROW]
[ROW][C]2[/C][C]120982[/C][C]116498.220601942[/C][C]4483.77939805805[/C][/ROW]
[ROW][C]3[/C][C]176508[/C][C]170821.53397889[/C][C]5686.46602111045[/C][/ROW]
[ROW][C]4[/C][C]179321[/C][C]251757.574715778[/C][C]-72436.5747157783[/C][/ROW]
[ROW][C]5[/C][C]123185[/C][C]87611.9883421792[/C][C]35573.0116578208[/C][/ROW]
[ROW][C]6[/C][C]52746[/C][C]56397.0376741701[/C][C]-3651.03767417007[/C][/ROW]
[ROW][C]7[/C][C]385534[/C][C]349173.096859113[/C][C]36360.9031408874[/C][/ROW]
[ROW][C]8[/C][C]33170[/C][C]35642.277454664[/C][C]-2472.27745466402[/C][/ROW]
[ROW][C]9[/C][C]101645[/C][C]88736.6872874155[/C][C]12908.3127125845[/C][/ROW]
[ROW][C]10[/C][C]149061[/C][C]158653.168439616[/C][C]-9592.16843961589[/C][/ROW]
[ROW][C]11[/C][C]165446[/C][C]145905.003721521[/C][C]19540.9962784791[/C][/ROW]
[ROW][C]12[/C][C]237213[/C][C]204841.958542965[/C][C]32371.0414570347[/C][/ROW]
[ROW][C]13[/C][C]173326[/C][C]189182.701575667[/C][C]-15856.701575667[/C][/ROW]
[ROW][C]14[/C][C]133131[/C][C]137975.074910364[/C][C]-4844.07491036354[/C][/ROW]
[ROW][C]15[/C][C]258873[/C][C]240542.015508221[/C][C]18330.984491779[/C][/ROW]
[ROW][C]16[/C][C]180083[/C][C]162731.391507814[/C][C]17351.6084921863[/C][/ROW]
[ROW][C]17[/C][C]324799[/C][C]407161.336304168[/C][C]-82362.3363041683[/C][/ROW]
[ROW][C]18[/C][C]230964[/C][C]191170.714687716[/C][C]39793.2853122838[/C][/ROW]
[ROW][C]19[/C][C]236785[/C][C]235297.487253542[/C][C]1487.51274645795[/C][/ROW]
[ROW][C]20[/C][C]135473[/C][C]132017.943605869[/C][C]3455.0563941311[/C][/ROW]
[ROW][C]21[/C][C]202925[/C][C]202531.568643136[/C][C]393.431356863598[/C][/ROW]
[ROW][C]22[/C][C]215147[/C][C]204990.500042679[/C][C]10156.4999573205[/C][/ROW]
[ROW][C]23[/C][C]344297[/C][C]235409.095208308[/C][C]108887.904791692[/C][/ROW]
[ROW][C]24[/C][C]153935[/C][C]114083.618985469[/C][C]39851.381014531[/C][/ROW]
[ROW][C]25[/C][C]132943[/C][C]162484.173412439[/C][C]-29541.1734124391[/C][/ROW]
[ROW][C]26[/C][C]174724[/C][C]268599.843740826[/C][C]-93875.8437408262[/C][/ROW]
[ROW][C]27[/C][C]174415[/C][C]224017.782963911[/C][C]-49602.7829639112[/C][/ROW]
[ROW][C]28[/C][C]225548[/C][C]240616.064163598[/C][C]-15068.0641635984[/C][/ROW]
[ROW][C]29[/C][C]223632[/C][C]188857.96030189[/C][C]34774.0396981097[/C][/ROW]
[ROW][C]30[/C][C]124817[/C][C]132376.996729163[/C][C]-7559.99672916326[/C][/ROW]
[ROW][C]31[/C][C]221698[/C][C]202078.30048311[/C][C]19619.6995168901[/C][/ROW]
[ROW][C]32[/C][C]210767[/C][C]202499.010387974[/C][C]8267.9896120264[/C][/ROW]
[ROW][C]33[/C][C]170266[/C][C]169009.211143671[/C][C]1256.78885632896[/C][/ROW]
[ROW][C]34[/C][C]260561[/C][C]226418.901669774[/C][C]34142.0983302263[/C][/ROW]
[ROW][C]35[/C][C]84853[/C][C]98868.9498052079[/C][C]-14015.9498052079[/C][/ROW]
[ROW][C]36[/C][C]294424[/C][C]264953.434409237[/C][C]29470.565590763[/C][/ROW]
[ROW][C]37[/C][C]101011[/C][C]70062.4252846021[/C][C]30948.5747153979[/C][/ROW]
[ROW][C]38[/C][C]215641[/C][C]209049.019154048[/C][C]6591.98084595209[/C][/ROW]
[ROW][C]39[/C][C]325107[/C][C]260483.153021515[/C][C]64623.8469784847[/C][/ROW]
[ROW][C]40[/C][C]7176[/C][C]2992.49648265645[/C][C]4183.50351734355[/C][/ROW]
[ROW][C]41[/C][C]167542[/C][C]156199.384333501[/C][C]11342.615666499[/C][/ROW]
[ROW][C]42[/C][C]106408[/C][C]69341.4482780181[/C][C]37066.5517219819[/C][/ROW]
[ROW][C]43[/C][C]96560[/C][C]125204.304850484[/C][C]-28644.3048504836[/C][/ROW]
[ROW][C]44[/C][C]265769[/C][C]271619.840677953[/C][C]-5850.84067795328[/C][/ROW]
[ROW][C]45[/C][C]269651[/C][C]294721.307854293[/C][C]-25070.3078542927[/C][/ROW]
[ROW][C]46[/C][C]149112[/C][C]158107.132289441[/C][C]-8995.13228944109[/C][/ROW]
[ROW][C]47[/C][C]175824[/C][C]221770.269733949[/C][C]-45946.2697339493[/C][/ROW]
[ROW][C]48[/C][C]152871[/C][C]145994.762424883[/C][C]6876.23757511662[/C][/ROW]
[ROW][C]49[/C][C]111665[/C][C]109847.367163705[/C][C]1817.63283629506[/C][/ROW]
[ROW][C]50[/C][C]116408[/C][C]168426.653320144[/C][C]-52018.6533201443[/C][/ROW]
[ROW][C]51[/C][C]362301[/C][C]316775.475856653[/C][C]45525.5241433471[/C][/ROW]
[ROW][C]52[/C][C]78800[/C][C]87741.763263807[/C][C]-8941.76326380702[/C][/ROW]
[ROW][C]53[/C][C]183167[/C][C]198544.914678719[/C][C]-15377.9146787193[/C][/ROW]
[ROW][C]54[/C][C]277965[/C][C]309264.508112862[/C][C]-31299.5081128616[/C][/ROW]
[ROW][C]55[/C][C]150629[/C][C]200203.8307552[/C][C]-49574.8307552004[/C][/ROW]
[ROW][C]56[/C][C]168809[/C][C]164946.149408559[/C][C]3862.85059144112[/C][/ROW]
[ROW][C]57[/C][C]24188[/C][C]34994.0354352786[/C][C]-10806.0354352786[/C][/ROW]
[ROW][C]58[/C][C]329267[/C][C]269560.571931147[/C][C]59706.4280688532[/C][/ROW]
[ROW][C]59[/C][C]65029[/C][C]66755.6650995464[/C][C]-1726.66509954644[/C][/ROW]
[ROW][C]60[/C][C]101097[/C][C]106289.379748405[/C][C]-5192.37974840505[/C][/ROW]
[ROW][C]61[/C][C]218946[/C][C]211387.632091551[/C][C]7558.36790844854[/C][/ROW]
[ROW][C]62[/C][C]244052[/C][C]212882.208162294[/C][C]31169.791837706[/C][/ROW]
[ROW][C]63[/C][C]341570[/C][C]319625.091391723[/C][C]21944.9086082772[/C][/ROW]
[ROW][C]64[/C][C]103597[/C][C]93750.1317742207[/C][C]9846.86822577931[/C][/ROW]
[ROW][C]65[/C][C]233328[/C][C]234293.892329079[/C][C]-965.892329078809[/C][/ROW]
[ROW][C]66[/C][C]256462[/C][C]247241.647572138[/C][C]9220.3524278625[/C][/ROW]
[ROW][C]67[/C][C]206161[/C][C]181251.521384426[/C][C]24909.4786155743[/C][/ROW]
[ROW][C]68[/C][C]311473[/C][C]306703.637455288[/C][C]4769.362544712[/C][/ROW]
[ROW][C]69[/C][C]235800[/C][C]230572.562299728[/C][C]5227.43770027176[/C][/ROW]
[ROW][C]70[/C][C]177939[/C][C]223533.605319773[/C][C]-45594.6053197733[/C][/ROW]
[ROW][C]71[/C][C]207176[/C][C]193179.73712496[/C][C]13996.2628750404[/C][/ROW]
[ROW][C]72[/C][C]196553[/C][C]144087.420984736[/C][C]52465.5790152642[/C][/ROW]
[ROW][C]73[/C][C]174184[/C][C]137944.548432012[/C][C]36239.4515679876[/C][/ROW]
[ROW][C]74[/C][C]143246[/C][C]161935.449686343[/C][C]-18689.4496863427[/C][/ROW]
[ROW][C]75[/C][C]187559[/C][C]220925.127353897[/C][C]-33366.1273538969[/C][/ROW]
[ROW][C]76[/C][C]187681[/C][C]206117.732655072[/C][C]-18436.7326550725[/C][/ROW]
[ROW][C]77[/C][C]119016[/C][C]156844.763843724[/C][C]-37828.7638437235[/C][/ROW]
[ROW][C]78[/C][C]182192[/C][C]199673.951051632[/C][C]-17481.951051632[/C][/ROW]
[ROW][C]79[/C][C]73566[/C][C]97708.8918239638[/C][C]-24142.8918239638[/C][/ROW]
[ROW][C]80[/C][C]194979[/C][C]188248.255570413[/C][C]6730.74442958691[/C][/ROW]
[ROW][C]81[/C][C]167488[/C][C]164858.478897754[/C][C]2629.52110224608[/C][/ROW]
[ROW][C]82[/C][C]143756[/C][C]177540.825324829[/C][C]-33784.825324829[/C][/ROW]
[ROW][C]83[/C][C]275541[/C][C]231498.292637957[/C][C]44042.7073620428[/C][/ROW]
[ROW][C]84[/C][C]243199[/C][C]209701.000499605[/C][C]33497.9995003946[/C][/ROW]
[ROW][C]85[/C][C]182999[/C][C]165112.722199175[/C][C]17886.2778008253[/C][/ROW]
[ROW][C]86[/C][C]135649[/C][C]164059.993231321[/C][C]-28410.9932313209[/C][/ROW]
[ROW][C]87[/C][C]152299[/C][C]163033.112615723[/C][C]-10734.1126157226[/C][/ROW]
[ROW][C]88[/C][C]120221[/C][C]139404.508960836[/C][C]-19183.5089608362[/C][/ROW]
[ROW][C]89[/C][C]346485[/C][C]286656.583433779[/C][C]59828.4165662213[/C][/ROW]
[ROW][C]90[/C][C]145790[/C][C]153667.334800564[/C][C]-7877.33480056427[/C][/ROW]
[ROW][C]91[/C][C]193339[/C][C]155930.067585477[/C][C]37408.9324145226[/C][/ROW]
[ROW][C]92[/C][C]80953[/C][C]92929.3711099551[/C][C]-11976.3711099551[/C][/ROW]
[ROW][C]93[/C][C]122774[/C][C]149937.273941292[/C][C]-27163.2739412922[/C][/ROW]
[ROW][C]94[/C][C]130585[/C][C]118615.208435828[/C][C]11969.791564172[/C][/ROW]
[ROW][C]95[/C][C]112611[/C][C]92673.7322226833[/C][C]19937.2677773166[/C][/ROW]
[ROW][C]96[/C][C]286468[/C][C]268410.694985106[/C][C]18057.3050148944[/C][/ROW]
[ROW][C]97[/C][C]241066[/C][C]219617.955614521[/C][C]21448.044385479[/C][/ROW]
[ROW][C]98[/C][C]148446[/C][C]276010.409777017[/C][C]-127564.409777017[/C][/ROW]
[ROW][C]99[/C][C]204713[/C][C]191366.98805133[/C][C]13346.0119486705[/C][/ROW]
[ROW][C]100[/C][C]182079[/C][C]191093.862282296[/C][C]-9014.86228229553[/C][/ROW]
[ROW][C]101[/C][C]140344[/C][C]125338.327985715[/C][C]15005.6720142852[/C][/ROW]
[ROW][C]102[/C][C]220516[/C][C]243149.840395885[/C][C]-22633.8403958852[/C][/ROW]
[ROW][C]103[/C][C]243060[/C][C]194626.432069938[/C][C]48433.5679300623[/C][/ROW]
[ROW][C]104[/C][C]162765[/C][C]147261.601613625[/C][C]15503.3983863752[/C][/ROW]
[ROW][C]105[/C][C]182613[/C][C]146965.267506205[/C][C]35647.7324937953[/C][/ROW]
[ROW][C]106[/C][C]232138[/C][C]208595.788176825[/C][C]23542.211823175[/C][/ROW]
[ROW][C]107[/C][C]265318[/C][C]293839.278056042[/C][C]-28521.2780560424[/C][/ROW]
[ROW][C]108[/C][C]85574[/C][C]101636.34310617[/C][C]-16062.3431061697[/C][/ROW]
[ROW][C]109[/C][C]310839[/C][C]283682.624832123[/C][C]27156.3751678773[/C][/ROW]
[ROW][C]110[/C][C]225060[/C][C]223819.778281568[/C][C]1240.22171843246[/C][/ROW]
[ROW][C]111[/C][C]232317[/C][C]217623.138965787[/C][C]14693.8610342134[/C][/ROW]
[ROW][C]112[/C][C]144966[/C][C]167597.171711736[/C][C]-22631.1717117361[/C][/ROW]
[ROW][C]113[/C][C]43287[/C][C]55832.7565147105[/C][C]-12545.7565147105[/C][/ROW]
[ROW][C]114[/C][C]155754[/C][C]160196.906958576[/C][C]-4442.90695857639[/C][/ROW]
[ROW][C]115[/C][C]164709[/C][C]190576.233986141[/C][C]-25867.2339861414[/C][/ROW]
[ROW][C]116[/C][C]201940[/C][C]232678.440927888[/C][C]-30738.440927888[/C][/ROW]
[ROW][C]117[/C][C]235454[/C][C]256671.111575761[/C][C]-21217.1115757609[/C][/ROW]
[ROW][C]118[/C][C]220801[/C][C]174109.722506836[/C][C]46691.2774931645[/C][/ROW]
[ROW][C]119[/C][C]99466[/C][C]96162.2343989907[/C][C]3303.76560100927[/C][/ROW]
[ROW][C]120[/C][C]92661[/C][C]111980.673732598[/C][C]-19319.6737325981[/C][/ROW]
[ROW][C]121[/C][C]133328[/C][C]140095.487967233[/C][C]-6767.48796723281[/C][/ROW]
[ROW][C]122[/C][C]61361[/C][C]105780.824508697[/C][C]-44419.8245086974[/C][/ROW]
[ROW][C]123[/C][C]125930[/C][C]152225.503011596[/C][C]-26295.5030115962[/C][/ROW]
[ROW][C]124[/C][C]100750[/C][C]157765.50358887[/C][C]-57015.5035888699[/C][/ROW]
[ROW][C]125[/C][C]224549[/C][C]145858.305224999[/C][C]78690.6947750015[/C][/ROW]
[ROW][C]126[/C][C]82316[/C][C]61352.0711959409[/C][C]20963.9288040591[/C][/ROW]
[ROW][C]127[/C][C]102010[/C][C]90259.1027472643[/C][C]11750.8972527356[/C][/ROW]
[ROW][C]128[/C][C]101523[/C][C]113165.000278444[/C][C]-11642.0002784438[/C][/ROW]
[ROW][C]129[/C][C]243511[/C][C]226928.39910112[/C][C]16582.6008988799[/C][/ROW]
[ROW][C]130[/C][C]22938[/C][C]18718.9676603675[/C][C]4219.03233963248[/C][/ROW]
[ROW][C]131[/C][C]41566[/C][C]45169.573675205[/C][C]-3603.57367520502[/C][/ROW]
[ROW][C]132[/C][C]152474[/C][C]195479.219703944[/C][C]-43005.2197039442[/C][/ROW]
[ROW][C]133[/C][C]61857[/C][C]42574.6393506948[/C][C]19282.3606493052[/C][/ROW]
[ROW][C]134[/C][C]99923[/C][C]164128.332810324[/C][C]-64205.3328103242[/C][/ROW]
[ROW][C]135[/C][C]132487[/C][C]149746.79599671[/C][C]-17259.7959967101[/C][/ROW]
[ROW][C]136[/C][C]317394[/C][C]264687.81716955[/C][C]52706.1828304501[/C][/ROW]
[ROW][C]137[/C][C]21054[/C][C]17105.4936919339[/C][C]3948.50630806609[/C][/ROW]
[ROW][C]138[/C][C]209641[/C][C]170039.110193415[/C][C]39601.889806585[/C][/ROW]
[ROW][C]139[/C][C]22648[/C][C]40278.8248943026[/C][C]-17630.8248943026[/C][/ROW]
[ROW][C]140[/C][C]31414[/C][C]39774.9255640623[/C][C]-8360.92556406235[/C][/ROW]
[ROW][C]141[/C][C]46698[/C][C]71226.8054488822[/C][C]-24528.8054488822[/C][/ROW]
[ROW][C]142[/C][C]131698[/C][C]144396.795846433[/C][C]-12698.7958464329[/C][/ROW]
[ROW][C]143[/C][C]91735[/C][C]85652.010688103[/C][C]6082.98931189702[/C][/ROW]
[ROW][C]144[/C][C]244749[/C][C]256339.114630235[/C][C]-11590.114630235[/C][/ROW]
[ROW][C]145[/C][C]184510[/C][C]173293.922704395[/C][C]11216.0772956052[/C][/ROW]
[ROW][C]146[/C][C]79863[/C][C]102520.938023917[/C][C]-22657.9380239173[/C][/ROW]
[ROW][C]147[/C][C]128423[/C][C]130731.080876482[/C][C]-2308.08087648249[/C][/ROW]
[ROW][C]148[/C][C]97839[/C][C]109050.765232492[/C][C]-11211.7652324918[/C][/ROW]
[ROW][C]149[/C][C]38214[/C][C]53452.404702727[/C][C]-15238.404702727[/C][/ROW]
[ROW][C]150[/C][C]151101[/C][C]148630.244108982[/C][C]2470.75589101835[/C][/ROW]
[ROW][C]151[/C][C]272458[/C][C]244333.844997242[/C][C]28124.1550027585[/C][/ROW]
[ROW][C]152[/C][C]172494[/C][C]152106.251538045[/C][C]20387.7484619549[/C][/ROW]
[ROW][C]153[/C][C]108043[/C][C]122918.609157516[/C][C]-14875.6091575159[/C][/ROW]
[ROW][C]154[/C][C]328107[/C][C]319041.903415322[/C][C]9065.09658467829[/C][/ROW]
[ROW][C]155[/C][C]250579[/C][C]235957.627298676[/C][C]14621.3727013239[/C][/ROW]
[ROW][C]156[/C][C]351067[/C][C]306186.071886437[/C][C]44880.928113563[/C][/ROW]
[ROW][C]157[/C][C]158015[/C][C]133147.671956961[/C][C]24867.3280430385[/C][/ROW]
[ROW][C]158[/C][C]98866[/C][C]77993.9607675369[/C][C]20872.0392324631[/C][/ROW]
[ROW][C]159[/C][C]85439[/C][C]108149.199351595[/C][C]-22710.1993515951[/C][/ROW]
[ROW][C]160[/C][C]229242[/C][C]241736.505282287[/C][C]-12494.5052822866[/C][/ROW]
[ROW][C]161[/C][C]351619[/C][C]330035.833684174[/C][C]21583.1663158263[/C][/ROW]
[ROW][C]162[/C][C]84207[/C][C]94744.856916318[/C][C]-10537.856916318[/C][/ROW]
[ROW][C]163[/C][C]120445[/C][C]131578.106939032[/C][C]-11133.1069390323[/C][/ROW]
[ROW][C]164[/C][C]324598[/C][C]340074.892635518[/C][C]-15476.8926355176[/C][/ROW]
[ROW][C]165[/C][C]131069[/C][C]161450.310241505[/C][C]-30381.3102415052[/C][/ROW]
[ROW][C]166[/C][C]204271[/C][C]167784.508136984[/C][C]36486.4918630159[/C][/ROW]
[ROW][C]167[/C][C]165543[/C][C]169699.230223478[/C][C]-4156.23022347826[/C][/ROW]
[ROW][C]168[/C][C]141722[/C][C]135075.98787002[/C][C]6646.01212997973[/C][/ROW]
[ROW][C]169[/C][C]116048[/C][C]95633.4909769042[/C][C]20414.5090230958[/C][/ROW]
[ROW][C]170[/C][C]250047[/C][C]163365.535663387[/C][C]86681.464336613[/C][/ROW]
[ROW][C]171[/C][C]299775[/C][C]314129.011540891[/C][C]-14354.0115408912[/C][/ROW]
[ROW][C]172[/C][C]195838[/C][C]192170.430444819[/C][C]3667.56955518124[/C][/ROW]
[ROW][C]173[/C][C]173260[/C][C]171102.827932212[/C][C]2157.17206778751[/C][/ROW]
[ROW][C]174[/C][C]254488[/C][C]242256.589624101[/C][C]12231.4103758995[/C][/ROW]
[ROW][C]175[/C][C]104389[/C][C]189974.491821335[/C][C]-85585.4918213346[/C][/ROW]
[ROW][C]176[/C][C]136084[/C][C]132620.498385837[/C][C]3463.50161416284[/C][/ROW]
[ROW][C]177[/C][C]199476[/C][C]230030.793113548[/C][C]-30554.7931135481[/C][/ROW]
[ROW][C]178[/C][C]92499[/C][C]86673.7509207479[/C][C]5825.24907925212[/C][/ROW]
[ROW][C]179[/C][C]224330[/C][C]225817.387570047[/C][C]-1487.38757004723[/C][/ROW]
[ROW][C]180[/C][C]135781[/C][C]97405.237019507[/C][C]38375.762980493[/C][/ROW]
[ROW][C]181[/C][C]74408[/C][C]96560.2731155583[/C][C]-22152.2731155583[/C][/ROW]
[ROW][C]182[/C][C]81240[/C][C]138807.393708142[/C][C]-57567.3937081416[/C][/ROW]
[ROW][C]183[/C][C]14688[/C][C]5186.70940631514[/C][C]9501.29059368486[/C][/ROW]
[ROW][C]184[/C][C]181633[/C][C]162360.463227852[/C][C]19272.5367721483[/C][/ROW]
[ROW][C]185[/C][C]271856[/C][C]257126.866187127[/C][C]14729.1338128726[/C][/ROW]
[ROW][C]186[/C][C]7199[/C][C]2941.9627498696[/C][C]4257.0372501304[/C][/ROW]
[ROW][C]187[/C][C]46660[/C][C]43086.2899588442[/C][C]3573.71004115578[/C][/ROW]
[ROW][C]188[/C][C]17547[/C][C]642.055657143737[/C][C]16904.9443428563[/C][/ROW]
[ROW][C]189[/C][C]133368[/C][C]127175.53496589[/C][C]6192.46503411025[/C][/ROW]
[ROW][C]190[/C][C]95227[/C][C]93618.6050945309[/C][C]1608.39490546909[/C][/ROW]
[ROW][C]191[/C][C]152601[/C][C]124986.20857145[/C][C]27614.7914285495[/C][/ROW]
[ROW][C]192[/C][C]98146[/C][C]104771.243206513[/C][C]-6625.24320651323[/C][/ROW]
[ROW][C]193[/C][C]79619[/C][C]95144.991499559[/C][C]-15525.991499559[/C][/ROW]
[ROW][C]194[/C][C]59194[/C][C]60279.8214109309[/C][C]-1085.82141093087[/C][/ROW]
[ROW][C]195[/C][C]139942[/C][C]138938.530312664[/C][C]1003.46968733569[/C][/ROW]
[ROW][C]196[/C][C]118612[/C][C]114156.178906771[/C][C]4455.8210932285[/C][/ROW]
[ROW][C]197[/C][C]72880[/C][C]93016.7840327901[/C][C]-20136.7840327901[/C][/ROW]
[ROW][C]198[/C][C]65475[/C][C]54878.3645256487[/C][C]10596.6354743513[/C][/ROW]
[ROW][C]199[/C][C]99643[/C][C]132280.808139783[/C][C]-32637.8081397835[/C][/ROW]
[ROW][C]200[/C][C]71965[/C][C]75181.7177416218[/C][C]-3216.71774162176[/C][/ROW]
[ROW][C]201[/C][C]77272[/C][C]71242.174398208[/C][C]6029.82560179202[/C][/ROW]
[ROW][C]202[/C][C]49289[/C][C]47081.0547072715[/C][C]2207.94529272847[/C][/ROW]
[ROW][C]203[/C][C]135131[/C][C]121327.260161629[/C][C]13803.739838371[/C][/ROW]
[ROW][C]204[/C][C]108446[/C][C]101210.834003872[/C][C]7235.16599612799[/C][/ROW]
[ROW][C]205[/C][C]89746[/C][C]122484.304693524[/C][C]-32738.3046935237[/C][/ROW]
[ROW][C]206[/C][C]44296[/C][C]57619.3927442401[/C][C]-13323.3927442401[/C][/ROW]
[ROW][C]207[/C][C]77648[/C][C]85833.5056559546[/C][C]-8185.50565595459[/C][/ROW]
[ROW][C]208[/C][C]181528[/C][C]136326.523954673[/C][C]45201.4760453272[/C][/ROW]
[ROW][C]209[/C][C]134019[/C][C]110580.996854551[/C][C]23438.0031454494[/C][/ROW]
[ROW][C]210[/C][C]124064[/C][C]125278.823409529[/C][C]-1214.82340952897[/C][/ROW]
[ROW][C]211[/C][C]92630[/C][C]81081.4305538629[/C][C]11548.5694461371[/C][/ROW]
[ROW][C]212[/C][C]121848[/C][C]97404.6360849591[/C][C]24443.3639150408[/C][/ROW]
[ROW][C]213[/C][C]52915[/C][C]55158.6816523206[/C][C]-2243.68165232063[/C][/ROW]
[ROW][C]214[/C][C]81872[/C][C]79975.5766079649[/C][C]1896.42339203512[/C][/ROW]
[ROW][C]215[/C][C]58981[/C][C]93200.6448996092[/C][C]-34219.6448996092[/C][/ROW]
[ROW][C]216[/C][C]53515[/C][C]66461.281910847[/C][C]-12946.281910847[/C][/ROW]
[ROW][C]217[/C][C]60812[/C][C]94351.1121417378[/C][C]-33539.1121417378[/C][/ROW]
[ROW][C]218[/C][C]56375[/C][C]48729.5558213185[/C][C]7645.44417868148[/C][/ROW]
[ROW][C]219[/C][C]65490[/C][C]64113.6639363174[/C][C]1376.33606368255[/C][/ROW]
[ROW][C]220[/C][C]80949[/C][C]54009.0083544279[/C][C]26939.9916455721[/C][/ROW]
[ROW][C]221[/C][C]76302[/C][C]94587.3906027214[/C][C]-18285.3906027214[/C][/ROW]
[ROW][C]222[/C][C]104011[/C][C]112293.800442337[/C][C]-8282.800442337[/C][/ROW]
[ROW][C]223[/C][C]98104[/C][C]151738.060586097[/C][C]-53634.0605860971[/C][/ROW]
[ROW][C]224[/C][C]67989[/C][C]62817.8675873701[/C][C]5171.13241262991[/C][/ROW]
[ROW][C]225[/C][C]30989[/C][C]35330.1109130684[/C][C]-4341.11091306841[/C][/ROW]
[ROW][C]226[/C][C]135458[/C][C]136511.688565634[/C][C]-1053.688565634[/C][/ROW]
[ROW][C]227[/C][C]73504[/C][C]53927.8292020313[/C][C]19576.1707979687[/C][/ROW]
[ROW][C]228[/C][C]63123[/C][C]89560.6969480979[/C][C]-26437.6969480979[/C][/ROW]
[ROW][C]229[/C][C]61254[/C][C]83528.2772869192[/C][C]-22274.2772869192[/C][/ROW]
[ROW][C]230[/C][C]74914[/C][C]115756.359660506[/C][C]-40842.3596605059[/C][/ROW]
[ROW][C]231[/C][C]31774[/C][C]47091.4826607237[/C][C]-15317.4826607238[/C][/ROW]
[ROW][C]232[/C][C]81437[/C][C]86810.8096981722[/C][C]-5373.80969817216[/C][/ROW]
[ROW][C]233[/C][C]87186[/C][C]120396.289219451[/C][C]-33210.2892194514[/C][/ROW]
[ROW][C]234[/C][C]50090[/C][C]56894.9952396653[/C][C]-6804.99523966525[/C][/ROW]
[ROW][C]235[/C][C]65745[/C][C]95799.0359273554[/C][C]-30054.0359273554[/C][/ROW]
[ROW][C]236[/C][C]56653[/C][C]71368.7751763247[/C][C]-14715.7751763247[/C][/ROW]
[ROW][C]237[/C][C]158399[/C][C]109790.215013459[/C][C]48608.784986541[/C][/ROW]
[ROW][C]238[/C][C]46455[/C][C]62865.0738743812[/C][C]-16410.0738743812[/C][/ROW]
[ROW][C]239[/C][C]73624[/C][C]87695.4599135397[/C][C]-14071.4599135397[/C][/ROW]
[ROW][C]240[/C][C]38395[/C][C]61748.8863716706[/C][C]-23353.8863716706[/C][/ROW]
[ROW][C]241[/C][C]91899[/C][C]82727.9130685223[/C][C]9171.08693147765[/C][/ROW]
[ROW][C]242[/C][C]139526[/C][C]139540.04058369[/C][C]-14.0405836903188[/C][/ROW]
[ROW][C]243[/C][C]52164[/C][C]70734.4636063844[/C][C]-18570.4636063844[/C][/ROW]
[ROW][C]244[/C][C]51567[/C][C]59751.8265103118[/C][C]-8184.82651031179[/C][/ROW]
[ROW][C]245[/C][C]70551[/C][C]69902.3845376666[/C][C]648.615462333417[/C][/ROW]
[ROW][C]246[/C][C]84856[/C][C]96889.8592487957[/C][C]-12033.8592487957[/C][/ROW]
[ROW][C]247[/C][C]102538[/C][C]127434.454422083[/C][C]-24896.4544220834[/C][/ROW]
[ROW][C]248[/C][C]86678[/C][C]65081.2451415902[/C][C]21596.7548584098[/C][/ROW]
[ROW][C]249[/C][C]85709[/C][C]77411.4102540028[/C][C]8297.58974599721[/C][/ROW]
[ROW][C]250[/C][C]34662[/C][C]47622.5082905014[/C][C]-12960.5082905014[/C][/ROW]
[ROW][C]251[/C][C]150580[/C][C]134894.77122192[/C][C]15685.2287780803[/C][/ROW]
[ROW][C]252[/C][C]99611[/C][C]92705.8695481441[/C][C]6905.13045185591[/C][/ROW]
[ROW][C]253[/C][C]19349[/C][C]6284.13023331008[/C][C]13064.8697666899[/C][/ROW]
[ROW][C]254[/C][C]99373[/C][C]100160.633896279[/C][C]-787.63389627851[/C][/ROW]
[ROW][C]255[/C][C]86230[/C][C]106307.079736382[/C][C]-20077.0797363818[/C][/ROW]
[ROW][C]256[/C][C]30837[/C][C]30153.047099582[/C][C]683.952900418043[/C][/ROW]
[ROW][C]257[/C][C]31706[/C][C]41869.1972146101[/C][C]-10163.1972146101[/C][/ROW]
[ROW][C]258[/C][C]89806[/C][C]81887.896804774[/C][C]7918.10319522596[/C][/ROW]
[ROW][C]259[/C][C]62088[/C][C]50298.9894984594[/C][C]11789.0105015406[/C][/ROW]
[ROW][C]260[/C][C]40151[/C][C]35021.1433819797[/C][C]5129.85661802034[/C][/ROW]
[ROW][C]261[/C][C]27634[/C][C]45544.6238489928[/C][C]-17910.6238489928[/C][/ROW]
[ROW][C]262[/C][C]76990[/C][C]69803.6815370026[/C][C]7186.31846299739[/C][/ROW]
[ROW][C]263[/C][C]37460[/C][C]24978.5797397923[/C][C]12481.4202602077[/C][/ROW]
[ROW][C]264[/C][C]54157[/C][C]63499.8398695833[/C][C]-9342.83986958327[/C][/ROW]
[ROW][C]265[/C][C]49862[/C][C]60022.0189646415[/C][C]-10160.0189646415[/C][/ROW]
[ROW][C]266[/C][C]84337[/C][C]78953.6789064941[/C][C]5383.32109350592[/C][/ROW]
[ROW][C]267[/C][C]64175[/C][C]86214.0257294571[/C][C]-22039.0257294571[/C][/ROW]
[ROW][C]268[/C][C]59382[/C][C]63315.0486025276[/C][C]-3933.0486025276[/C][/ROW]
[ROW][C]269[/C][C]119308[/C][C]71224.7994819885[/C][C]48083.2005180115[/C][/ROW]
[ROW][C]270[/C][C]76702[/C][C]92233.872794178[/C][C]-15531.872794178[/C][/ROW]
[ROW][C]271[/C][C]103425[/C][C]112012.697280639[/C][C]-8587.6972806388[/C][/ROW]
[ROW][C]272[/C][C]70344[/C][C]66027.203313918[/C][C]4316.79668608202[/C][/ROW]
[ROW][C]273[/C][C]43410[/C][C]39833.9951442428[/C][C]3576.00485575718[/C][/ROW]
[ROW][C]274[/C][C]104838[/C][C]101293.379530041[/C][C]3544.62046995889[/C][/ROW]
[ROW][C]275[/C][C]62215[/C][C]52829.1882204671[/C][C]9385.8117795329[/C][/ROW]
[ROW][C]276[/C][C]69304[/C][C]89779.0888886195[/C][C]-20475.0888886195[/C][/ROW]
[ROW][C]277[/C][C]53117[/C][C]38748.6335431113[/C][C]14368.3664568887[/C][/ROW]
[ROW][C]278[/C][C]19764[/C][C]9080.01687445833[/C][C]10683.9831255417[/C][/ROW]
[ROW][C]279[/C][C]86680[/C][C]90362.5581043121[/C][C]-3682.55810431212[/C][/ROW]
[ROW][C]280[/C][C]84105[/C][C]68049.9096994057[/C][C]16055.0903005943[/C][/ROW]
[ROW][C]281[/C][C]77945[/C][C]82633.7354203812[/C][C]-4688.7354203812[/C][/ROW]
[ROW][C]282[/C][C]89113[/C][C]70025.0862043837[/C][C]19087.9137956163[/C][/ROW]
[ROW][C]283[/C][C]91005[/C][C]93216.4562782892[/C][C]-2211.45627828924[/C][/ROW]
[ROW][C]284[/C][C]40248[/C][C]27896.5980545007[/C][C]12351.4019454993[/C][/ROW]
[ROW][C]285[/C][C]64187[/C][C]61125.5309164872[/C][C]3061.46908351283[/C][/ROW]
[ROW][C]286[/C][C]50857[/C][C]58885.1544430708[/C][C]-8028.15444307081[/C][/ROW]
[ROW][C]287[/C][C]56613[/C][C]54474.5494625922[/C][C]2138.45053740784[/C][/ROW]
[ROW][C]288[/C][C]62792[/C][C]63233.1320389989[/C][C]-441.132038998914[/C][/ROW]
[ROW][C]289[/C][C]72535[/C][C]77215.0155957101[/C][C]-4680.01559571011[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=202220&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=202220&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
1210907146329.88700955464577.1129904461
2120982116498.2206019424483.77939805805
3176508170821.533978895686.46602111045
4179321251757.574715778-72436.5747157783
512318587611.988342179235573.0116578208
65274656397.0376741701-3651.03767417007
7385534349173.09685911336360.9031408874
83317035642.277454664-2472.27745466402
910164588736.687287415512908.3127125845
10149061158653.168439616-9592.16843961589
11165446145905.00372152119540.9962784791
12237213204841.95854296532371.0414570347
13173326189182.701575667-15856.701575667
14133131137975.074910364-4844.07491036354
15258873240542.01550822118330.984491779
16180083162731.39150781417351.6084921863
17324799407161.336304168-82362.3363041683
18230964191170.71468771639793.2853122838
19236785235297.4872535421487.51274645795
20135473132017.9436058693455.0563941311
21202925202531.568643136393.431356863598
22215147204990.50004267910156.4999573205
23344297235409.095208308108887.904791692
24153935114083.61898546939851.381014531
25132943162484.173412439-29541.1734124391
26174724268599.843740826-93875.8437408262
27174415224017.782963911-49602.7829639112
28225548240616.064163598-15068.0641635984
29223632188857.9603018934774.0396981097
30124817132376.996729163-7559.99672916326
31221698202078.3004831119619.6995168901
32210767202499.0103879748267.9896120264
33170266169009.2111436711256.78885632896
34260561226418.90166977434142.0983302263
358485398868.9498052079-14015.9498052079
36294424264953.43440923729470.565590763
3710101170062.425284602130948.5747153979
38215641209049.0191540486591.98084595209
39325107260483.15302151564623.8469784847
4071762992.496482656454183.50351734355
41167542156199.38433350111342.615666499
4210640869341.448278018137066.5517219819
4396560125204.304850484-28644.3048504836
44265769271619.840677953-5850.84067795328
45269651294721.307854293-25070.3078542927
46149112158107.132289441-8995.13228944109
47175824221770.269733949-45946.2697339493
48152871145994.7624248836876.23757511662
49111665109847.3671637051817.63283629506
50116408168426.653320144-52018.6533201443
51362301316775.47585665345525.5241433471
527880087741.763263807-8941.76326380702
53183167198544.914678719-15377.9146787193
54277965309264.508112862-31299.5081128616
55150629200203.8307552-49574.8307552004
56168809164946.1494085593862.85059144112
572418834994.0354352786-10806.0354352786
58329267269560.57193114759706.4280688532
596502966755.6650995464-1726.66509954644
60101097106289.379748405-5192.37974840505
61218946211387.6320915517558.36790844854
62244052212882.20816229431169.791837706
63341570319625.09139172321944.9086082772
6410359793750.13177422079846.86822577931
65233328234293.892329079-965.892329078809
66256462247241.6475721389220.3524278625
67206161181251.52138442624909.4786155743
68311473306703.6374552884769.362544712
69235800230572.5622997285227.43770027176
70177939223533.605319773-45594.6053197733
71207176193179.7371249613996.2628750404
72196553144087.42098473652465.5790152642
73174184137944.54843201236239.4515679876
74143246161935.449686343-18689.4496863427
75187559220925.127353897-33366.1273538969
76187681206117.732655072-18436.7326550725
77119016156844.763843724-37828.7638437235
78182192199673.951051632-17481.951051632
797356697708.8918239638-24142.8918239638
80194979188248.2555704136730.74442958691
81167488164858.4788977542629.52110224608
82143756177540.825324829-33784.825324829
83275541231498.29263795744042.7073620428
84243199209701.00049960533497.9995003946
85182999165112.72219917517886.2778008253
86135649164059.993231321-28410.9932313209
87152299163033.112615723-10734.1126157226
88120221139404.508960836-19183.5089608362
89346485286656.58343377959828.4165662213
90145790153667.334800564-7877.33480056427
91193339155930.06758547737408.9324145226
928095392929.3711099551-11976.3711099551
93122774149937.273941292-27163.2739412922
94130585118615.20843582811969.791564172
9511261192673.732222683319937.2677773166
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222104011112293.800442337-8282.800442337
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2253098935330.1109130684-4341.11091306841
226135458136511.688565634-1053.688565634
2277350453927.829202031319576.1707979687
2286312389560.6969480979-26437.6969480979
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23074914115756.359660506-40842.3596605059
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2345009056894.9952396653-6804.99523966525
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2503466247622.5082905014-12960.5082905014
251150580134894.7712219215685.2287780803
2529961192705.86954814416905.13045185591
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2573170641869.1972146101-10163.1972146101
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2604015135021.14338197975129.85661802034
2612763445544.6238489928-17910.6238489928
2627699069803.68153700267186.31846299739
2633746024978.579739792312481.4202602077
2645415763499.8398695833-9342.83986958327
2654986260022.0189646415-10160.0189646415
2668433778953.67890649415383.32109350592
2676417586214.0257294571-22039.0257294571
2685938263315.0486025276-3933.0486025276
26911930871224.799481988548083.2005180115
2707670292233.872794178-15531.872794178
271103425112012.697280639-8587.6972806388
2727034466027.2033139184316.79668608202
2734341039833.99514424283576.00485575718
274104838101293.3795300413544.62046995889
2756221552829.18822046719385.8117795329
2766930489779.0888886195-20475.0888886195
2775311738748.633543111314368.3664568887
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2798668090362.5581043121-3682.55810431212
2808410568049.909699405716055.0903005943
2817794582633.7354203812-4688.7354203812
2828911370025.086204383719087.9137956163
2839100593216.4562782892-2211.45627828924
2844024827896.598054500712351.4019454993
2856418761125.53091648723061.46908351283
2865085758885.1544430708-8028.15444307081
2875661354474.54946259222138.45053740784
2886279263233.1320389989-441.132038998914
2897253577215.0155957101-4680.01559571011






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
120.3316316389786220.6632632779572450.668368361021378
130.7509801782023210.4980396435953580.249019821797679
140.6310452018443130.7379095963113740.368954798155687
150.5342433910763660.9315132178472690.465756608923634
160.4312971138590990.8625942277181980.568702886140901
170.933224979350340.133550041299320.0667750206496599
180.9056893079355390.1886213841289220.0943106920644609
190.8969957945768710.2060084108462590.10300420542313
200.9269323001745320.1461353996509360.073067699825468
210.9080524714647150.1838950570705710.0919475285352853
220.8768445523481050.2463108953037910.123155447651895
230.9975595875620.004880824875999730.00244041243799986
240.9964443889595830.007111222080834560.00355561104041728
250.9953638280482680.00927234390346470.00463617195173235
260.9991106233699460.001778753260108710.000889376630054356
270.9994849164021390.001030167195721440.000515083597860719
280.9991568508687540.001686298262492160.000843149131246078
290.9991234173611740.00175316527765260.000876582638826301
300.9989766955634980.00204660887300340.0010233044365017
310.9989503827603850.002099234479230780.00104961723961539
320.9983470434035410.00330591319291850.00165295659645925
330.9975318725917970.004936254816405780.00246812740820289
340.9976861662785910.004627667442817380.00231383372140869
350.9977489515996790.004502096800641330.00225104840032067
360.9972259250820660.005548149835867860.00277407491793393
370.9962966766851760.007406646629648650.00370332331482432
380.9946788311188850.01064233776222920.00532116888111459
390.9983242202804620.003351559439076060.00167577971953803
400.9986145192144290.002770961571140990.00138548078557049
410.9980434987201810.003913002559638210.0019565012798191
420.9975109465873750.004978106825249820.00248905341262491
430.9969415717289520.006116856542096370.00305842827104818
440.9956397775503360.008720444899328460.00436022244966423
450.9966828001349570.006634399730086110.00331719986504306
460.9954414801285050.009117039742989290.00455851987149464
470.9951755899308440.009648820138311140.00482441006915557
480.9933367526959620.01332649460807660.0066632473040383
490.9912065478785380.01758690424292420.00879345212146208
500.9985003874930760.002999225013847040.00149961250692352
510.9998383288621030.0003233422757932480.000161671137896624
520.9997756469982210.0004487060035579010.000224353001778951
530.9997201556129640.0005596887740729470.000279844387036473
540.9996857553082090.0006284893835810750.000314244691790537
550.9998931821802380.000213635639523080.00010681781976154
560.9998411665471880.0003176669056241720.000158833452812086
570.9998131292028270.0003737415943453720.000186870797172686
580.999958129188298.37416234204821e-054.18708117102411e-05
590.9999368232565540.0001263534868928886.31767434464438e-05
600.9999121210289620.0001757579420756668.78789710378329e-05
610.9998795930131960.0002408139736088760.000120406986804438
620.9998918638325080.0002162723349839330.000108136167491966
630.9998802628560330.0002394742879348270.000119737143967414
640.999826196969940.0003476060601198710.000173803030059936
650.9997617607668770.0004764784662455890.000238239233122795
660.9996596548999330.0006806902001343440.000340345100067172
670.999609598985620.0007808020287604620.000390401014380231
680.9994511341440310.001097731711938310.000548865855969155
690.9992414652261930.001517069547613790.000758534773806894
700.9994685419509230.001062916098153210.000531458049076604
710.999322908033090.001354183933819070.000677091966909537
720.9996511766742090.0006976466515815820.000348823325790791
730.9996652144548340.0006695710903317060.000334785545165853
740.999635199190720.0007296016185606910.000364800809280345
750.9996801240099920.0006397519800153370.000319875990007669
760.999629820279160.0007403594416797350.000370179720839868
770.9997228504212250.0005542991575497530.000277149578774877
780.9996451881957780.0007096236084439260.000354811804221963
790.9996267211087570.0007465577824864910.000373278891243245
800.9994830198237760.001033960352447910.000516980176223955
810.9992823824416420.001435235116716810.000717617558358404
820.9993910781070920.001217843785816790.000608921892908393
830.9996230828018770.0007538343962463820.000376917198123191
840.9996501950680560.0006996098638875170.000349804931943758
850.9995579754097360.0008840491805285790.000442024590264289
860.9995621282488590.0008757435022811610.000437871751140581
870.9994359793397590.001128041320482590.000564020660241297
880.9993509710220870.00129805795582560.0006490289779128
890.9997760852160550.0004478295678903740.000223914783945187
900.9997004300372640.000599139925471330.000299569962735665
910.9997218344415520.0005563311168956580.000278165558447829
920.9996429900899720.0007140198200567770.000357009910028389
930.9996345150028160.000730969994367840.00036548499718392
940.9995205852412480.0009588295175031950.000479414758751597
950.9994185775624170.00116284487516620.0005814224375831
960.9993360493032820.001327901393436860.000663950696718432
970.9991986085450090.001602782909981170.000801391454990584
980.9999993633773721.27324525574438e-066.36622627872188e-07
990.9999990639554841.87208903150835e-069.36044515754173e-07
1000.9999986207272132.7585455733904e-061.3792727866952e-06
1010.9999980786673923.84266521660477e-061.92133260830238e-06
1020.999997819984624.36003075966488e-062.18001537983244e-06
1030.9999991017440021.7965119959762e-068.98255997988101e-07
1040.9999987596346222.48073075527401e-061.24036537763701e-06
1050.9999989895034072.02099318498077e-061.01049659249039e-06
1060.999998842600872.31479826091023e-061.15739913045511e-06
1070.9999987971860642.40562787121274e-061.20281393560637e-06
1080.9999985137475912.97250481749905e-061.48625240874952e-06
1090.9999985286342342.94273153107182e-061.47136576553591e-06
1100.9999977601043144.47979137113623e-062.23989568556811e-06
1110.9999970127241975.97455160646759e-062.98727580323379e-06
1120.9999967561865266.48762694735322e-063.24381347367661e-06
1130.9999956545802128.69083957649778e-064.34541978824889e-06
1140.9999936415162971.27169674067174e-056.35848370335872e-06
1150.9999934423592861.3115281427809e-056.55764071390452e-06
1160.9999936706314721.26587370564726e-056.32936852823632e-06
1170.9999927274913471.45450173061043e-057.27250865305217e-06
1180.9999963971294737.20574105367126e-063.60287052683563e-06
1190.9999946310721331.07378557336627e-055.36892786683135e-06
1200.9999937709076741.2458184651775e-056.22909232588751e-06
1210.9999911147428381.77705143248425e-058.88525716242123e-06
1220.9999960869000847.82619983150031e-063.91309991575016e-06
1230.9999955881828038.82363439401031e-064.41181719700515e-06
1240.9999987635062422.47298751563418e-061.23649375781709e-06
1250.9999999453502791.09299441889559e-075.46497209447796e-08
1260.9999999337999231.32400154938915e-076.62000774694573e-08
1270.9999999051297771.89740445108821e-079.48702225544107e-08
1280.9999998613012882.77397423254289e-071.38698711627145e-07
1290.9999998093289373.81342125831678e-071.90671062915839e-07
1300.9999997002711395.99457722772815e-072.99728861386407e-07
1310.9999995433926259.13214749828944e-074.56607374914472e-07
1320.9999997960295714.07940858613341e-072.03970429306671e-07
1330.9999997340820725.31835855497838e-072.65917927748919e-07
1340.9999999687967596.24064817851096e-083.12032408925548e-08
1350.9999999584699888.30600237277792e-084.15300118638896e-08
1360.9999999867299062.65401887388897e-081.32700943694449e-08
1370.9999999783274314.33451376004781e-082.1672568800239e-08
1380.9999999888391222.23217560582816e-081.11608780291408e-08
1390.9999999858145552.83708891497166e-081.41854445748583e-08
1400.9999999780649394.38701228548232e-082.19350614274116e-08
1410.9999999771491614.57016786029886e-082.28508393014943e-08
1420.9999999676059156.47881704928007e-083.23940852464003e-08
1430.9999999496677551.0066448934354e-075.03322446717702e-08
1440.9999999248325391.5033492142248e-077.51674607112401e-08
1450.999999898396952.0320609982178e-071.0160304991089e-07
1460.9999998868088672.26382265181225e-071.13191132590613e-07
1470.9999998364483073.2710338629531e-071.63551693147655e-07
1480.9999997628890014.74221997325247e-072.37110998662623e-07
1490.9999996739657926.52068416291933e-073.26034208145966e-07
1500.9999994946101751.01077965048005e-065.05389825240023e-07
1510.9999995017235959.96552810936115e-074.98276405468058e-07
1520.9999994324194141.13516117203454e-065.6758058601727e-07
1530.9999992847919931.43041601380124e-067.15208006900622e-07
1540.9999990472762221.90544755529492e-069.52723777647461e-07
1550.9999988476954872.30460902627294e-061.15230451313647e-06
1560.9999996194815927.61036816340117e-073.80518408170059e-07
1570.9999996871993646.2560127089837e-073.12800635449185e-07
1580.9999997060458115.8790837835362e-072.9395418917681e-07
1590.9999996533072876.93385425111629e-073.46692712555815e-07
1600.9999994781923741.04361525155337e-065.21807625776687e-07
1610.9999994582331211.08353375872588e-065.41766879362939e-07
1620.9999992452709741.50945805296662e-067.54729026483309e-07
1630.9999990270378551.94592429022054e-069.72962145110268e-07
1640.9999986023432442.79531351213497e-061.39765675606748e-06
1650.9999987164676692.56706466193967e-061.28353233096983e-06
1660.9999995165268499.66946301998834e-074.83473150999417e-07
1670.999999285205181.42958964015806e-067.14794820079031e-07
1680.9999989047351812.19052963882614e-061.09526481941307e-06
1690.9999986889031992.62219360244683e-061.31109680122342e-06
1700.9999999896785412.06429182946464e-081.03214591473232e-08
1710.9999999830856513.38286973146397e-081.69143486573199e-08
1720.999999976369324.72613592354016e-082.36306796177008e-08
1730.9999999603821167.9235767992026e-083.9617883996013e-08
1740.9999999816098383.67803239001395e-081.83901619500697e-08
1750.9999999991415121.71697616840562e-098.58488084202811e-10
1760.9999999985764082.84718466707734e-091.42359233353867e-09
1770.9999999986227012.75459809678694e-091.37729904839347e-09
1780.9999999977312044.53759134065642e-092.26879567032821e-09
1790.9999999959950448.00991202300463e-094.00495601150231e-09
1800.9999999986040672.79186538151724e-091.39593269075862e-09
1810.9999999983937033.21259401658201e-091.606297008291e-09
1820.9999999998765772.46846994428531e-101.23423497214265e-10
1830.9999999997742494.51502939503056e-102.25751469751528e-10
1840.9999999997766964.46608475943909e-102.23304237971955e-10
1850.9999999998385283.22943831704623e-101.61471915852311e-10
1860.9999999997114715.77057490410853e-102.88528745205427e-10
1870.9999999994789121.04217504703671e-095.21087523518356e-10
1880.9999999991009961.79800791389921e-098.99003956949604e-10
1890.9999999987124372.57512620004459e-091.28756310002229e-09
1900.9999999978445444.31091152897776e-092.15545576448888e-09
1910.9999999992306211.53875773649805e-097.69378868249026e-10
1920.9999999986097292.78054263484188e-091.39027131742094e-09
1930.9999999978373944.3252111195751e-092.16260555978755e-09
1940.9999999968687626.26247630295692e-093.13123815147846e-09
1950.9999999951250959.74980935625924e-094.87490467812962e-09
1960.9999999922875581.54248843005574e-087.71244215027872e-09
1970.9999999902494271.9501145093663e-089.7505725468315e-09
1980.9999999846152883.07694240970271e-081.53847120485135e-08
1990.9999999893459442.13081117472249e-081.06540558736125e-08
2000.9999999808449663.83100674624103e-081.91550337312052e-08
2010.9999999665498276.69003450865489e-083.34501725432745e-08
2020.9999999494143951.01171209236266e-075.05856046181331e-08
2030.9999999277219951.44556010622085e-077.22780053110426e-08
2040.9999998861793752.27641249190614e-071.13820624595307e-07
2050.9999998849004242.30199152269461e-071.1509957613473e-07
2060.999999823885723.52228560427419e-071.7611428021371e-07
2070.9999997028583355.94283330052637e-072.97141665026319e-07
2080.999999962414887.51702407483045e-083.75851203741523e-08
2090.9999999770721964.58556069829514e-082.29278034914757e-08
2100.9999999663239366.73521271190602e-083.36760635595301e-08
2110.9999999540964919.1807018053438e-084.5903509026719e-08
2120.9999999798773754.02452503195285e-082.01226251597643e-08
2130.9999999624399357.51201306713102e-083.75600653356551e-08
2140.9999999318661431.36267714438718e-076.81338572193591e-08
2150.9999999416004421.16799116098136e-075.8399558049068e-08
2160.9999999143404581.71319084156922e-078.56595420784611e-08
2170.9999999530880769.38238485491666e-084.69119242745833e-08
2180.9999999137268831.7254623435464e-078.627311717732e-08
2190.9999998456382433.08723514985701e-071.54361757492851e-07
2200.9999998800156852.39968629499629e-071.19984314749814e-07
2210.9999997977620344.044759327616e-072.022379663808e-07
2220.9999996703910296.59217942598508e-073.29608971299254e-07
2230.999999907355491.85289019561453e-079.26445097807263e-08
2240.9999998437806663.12438668040834e-071.56219334020417e-07
2250.9999997212663535.57467293664981e-072.78733646832491e-07
2260.9999994788392061.04232158735169e-065.21160793675845e-07
2270.9999992458994431.50820111336164e-067.54100556680822e-07
2280.9999992769801291.44603974212544e-067.23019871062719e-07
2290.9999989088136072.18237278541392e-061.09118639270696e-06
2300.9999993976846791.2046306421473e-066.02315321073649e-07
2310.9999992685188031.46296239449538e-067.3148119724769e-07
2320.9999986316047512.73679049800011e-061.36839524900006e-06
2330.9999994557994961.08840100863049e-065.44200504315244e-07
2340.9999989828331922.03433361552287e-061.01716680776144e-06
2350.9999992625392191.47492156135447e-067.37460780677233e-07
2360.9999987336134462.53277310773816e-061.26638655386908e-06
2370.9999999754841334.90317330221625e-082.45158665110813e-08
2380.9999999650108546.99782911024172e-083.49891455512086e-08
2390.9999999543960199.12079628222319e-084.5603981411116e-08
2400.9999999736589295.2682142309867e-082.63410711549335e-08
2410.9999999498628491.00274301660371e-075.01371508301855e-08
2420.999999904157341.91685319362509e-079.58426596812547e-08
2430.9999999172623321.65475335910784e-078.27376679553922e-08
2440.9999998460109773.0797804554104e-071.5398902277052e-07
2450.9999996566966196.8660676208222e-073.4330338104111e-07
2460.9999992803842591.43923148206332e-067.19615741031659e-07
2470.9999990680099951.86398001011957e-069.31990005059786e-07
2480.9999989689623872.06207522596968e-061.03103761298484e-06
2490.9999977614920534.47701589346455e-062.23850794673228e-06
2500.9999970181693555.96366128971631e-062.98183064485815e-06
2510.9999968922707446.21545851267129e-063.10772925633564e-06
2520.9999940485989471.19028021063851e-055.95140105319253e-06
2530.9999871252929272.57494141451225e-051.28747070725612e-05
2540.9999725911931555.48176136895015e-052.74088068447508e-05
2550.9999609515870117.80968259780517e-053.90484129890259e-05
2560.9999337530427360.0001324939145274626.62469572637312e-05
2570.9999122466162620.0001755067674770018.77533837385005e-05
2580.9998324214230090.0003351571539819270.000167578576990964
2590.9997389507429450.0005220985141090680.000261049257054534
2600.9994815999739960.001036800052007610.000518400026003804
2610.9995256011737830.000948797652434190.000474398826217095
2620.9991531137377160.001693772524567720.000846886262283861
2630.9983098470230230.003380305953954750.00169015297697737
2640.9973008573455250.005398285308950170.00269914265447509
2650.9967607762340760.006478447531847070.00323922376592354
2660.993648749730880.01270250053823990.00635125026911996
2670.9968164639141540.00636707217169210.00318353608584605
2680.9961739660174680.007652067965063810.0038260339825319
2690.9999789479965274.21040069453111e-052.10520034726555e-05
2700.9999798005103344.03989793315367e-052.01994896657684e-05
2710.999945527673190.0001089446536198465.44723268099228e-05
2720.999810871412110.0003782571757798410.000189128587889921
2730.9995497886707430.000900422658513650.000450211329256825
2740.9982412549352740.003517490129451710.00175874506472585
2750.9942955276729110.01140894465417720.00570447232708858
2760.990537344787780.01892531042443970.00946265521221984
2770.9718259725647650.05634805487047080.0281740274352354

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
12 & 0.331631638978622 & 0.663263277957245 & 0.668368361021378 \tabularnewline
13 & 0.750980178202321 & 0.498039643595358 & 0.249019821797679 \tabularnewline
14 & 0.631045201844313 & 0.737909596311374 & 0.368954798155687 \tabularnewline
15 & 0.534243391076366 & 0.931513217847269 & 0.465756608923634 \tabularnewline
16 & 0.431297113859099 & 0.862594227718198 & 0.568702886140901 \tabularnewline
17 & 0.93322497935034 & 0.13355004129932 & 0.0667750206496599 \tabularnewline
18 & 0.905689307935539 & 0.188621384128922 & 0.0943106920644609 \tabularnewline
19 & 0.896995794576871 & 0.206008410846259 & 0.10300420542313 \tabularnewline
20 & 0.926932300174532 & 0.146135399650936 & 0.073067699825468 \tabularnewline
21 & 0.908052471464715 & 0.183895057070571 & 0.0919475285352853 \tabularnewline
22 & 0.876844552348105 & 0.246310895303791 & 0.123155447651895 \tabularnewline
23 & 0.997559587562 & 0.00488082487599973 & 0.00244041243799986 \tabularnewline
24 & 0.996444388959583 & 0.00711122208083456 & 0.00355561104041728 \tabularnewline
25 & 0.995363828048268 & 0.0092723439034647 & 0.00463617195173235 \tabularnewline
26 & 0.999110623369946 & 0.00177875326010871 & 0.000889376630054356 \tabularnewline
27 & 0.999484916402139 & 0.00103016719572144 & 0.000515083597860719 \tabularnewline
28 & 0.999156850868754 & 0.00168629826249216 & 0.000843149131246078 \tabularnewline
29 & 0.999123417361174 & 0.0017531652776526 & 0.000876582638826301 \tabularnewline
30 & 0.998976695563498 & 0.0020466088730034 & 0.0010233044365017 \tabularnewline
31 & 0.998950382760385 & 0.00209923447923078 & 0.00104961723961539 \tabularnewline
32 & 0.998347043403541 & 0.0033059131929185 & 0.00165295659645925 \tabularnewline
33 & 0.997531872591797 & 0.00493625481640578 & 0.00246812740820289 \tabularnewline
34 & 0.997686166278591 & 0.00462766744281738 & 0.00231383372140869 \tabularnewline
35 & 0.997748951599679 & 0.00450209680064133 & 0.00225104840032067 \tabularnewline
36 & 0.997225925082066 & 0.00554814983586786 & 0.00277407491793393 \tabularnewline
37 & 0.996296676685176 & 0.00740664662964865 & 0.00370332331482432 \tabularnewline
38 & 0.994678831118885 & 0.0106423377622292 & 0.00532116888111459 \tabularnewline
39 & 0.998324220280462 & 0.00335155943907606 & 0.00167577971953803 \tabularnewline
40 & 0.998614519214429 & 0.00277096157114099 & 0.00138548078557049 \tabularnewline
41 & 0.998043498720181 & 0.00391300255963821 & 0.0019565012798191 \tabularnewline
42 & 0.997510946587375 & 0.00497810682524982 & 0.00248905341262491 \tabularnewline
43 & 0.996941571728952 & 0.00611685654209637 & 0.00305842827104818 \tabularnewline
44 & 0.995639777550336 & 0.00872044489932846 & 0.00436022244966423 \tabularnewline
45 & 0.996682800134957 & 0.00663439973008611 & 0.00331719986504306 \tabularnewline
46 & 0.995441480128505 & 0.00911703974298929 & 0.00455851987149464 \tabularnewline
47 & 0.995175589930844 & 0.00964882013831114 & 0.00482441006915557 \tabularnewline
48 & 0.993336752695962 & 0.0133264946080766 & 0.0066632473040383 \tabularnewline
49 & 0.991206547878538 & 0.0175869042429242 & 0.00879345212146208 \tabularnewline
50 & 0.998500387493076 & 0.00299922501384704 & 0.00149961250692352 \tabularnewline
51 & 0.999838328862103 & 0.000323342275793248 & 0.000161671137896624 \tabularnewline
52 & 0.999775646998221 & 0.000448706003557901 & 0.000224353001778951 \tabularnewline
53 & 0.999720155612964 & 0.000559688774072947 & 0.000279844387036473 \tabularnewline
54 & 0.999685755308209 & 0.000628489383581075 & 0.000314244691790537 \tabularnewline
55 & 0.999893182180238 & 0.00021363563952308 & 0.00010681781976154 \tabularnewline
56 & 0.999841166547188 & 0.000317666905624172 & 0.000158833452812086 \tabularnewline
57 & 0.999813129202827 & 0.000373741594345372 & 0.000186870797172686 \tabularnewline
58 & 0.99995812918829 & 8.37416234204821e-05 & 4.18708117102411e-05 \tabularnewline
59 & 0.999936823256554 & 0.000126353486892888 & 6.31767434464438e-05 \tabularnewline
60 & 0.999912121028962 & 0.000175757942075666 & 8.78789710378329e-05 \tabularnewline
61 & 0.999879593013196 & 0.000240813973608876 & 0.000120406986804438 \tabularnewline
62 & 0.999891863832508 & 0.000216272334983933 & 0.000108136167491966 \tabularnewline
63 & 0.999880262856033 & 0.000239474287934827 & 0.000119737143967414 \tabularnewline
64 & 0.99982619696994 & 0.000347606060119871 & 0.000173803030059936 \tabularnewline
65 & 0.999761760766877 & 0.000476478466245589 & 0.000238239233122795 \tabularnewline
66 & 0.999659654899933 & 0.000680690200134344 & 0.000340345100067172 \tabularnewline
67 & 0.99960959898562 & 0.000780802028760462 & 0.000390401014380231 \tabularnewline
68 & 0.999451134144031 & 0.00109773171193831 & 0.000548865855969155 \tabularnewline
69 & 0.999241465226193 & 0.00151706954761379 & 0.000758534773806894 \tabularnewline
70 & 0.999468541950923 & 0.00106291609815321 & 0.000531458049076604 \tabularnewline
71 & 0.99932290803309 & 0.00135418393381907 & 0.000677091966909537 \tabularnewline
72 & 0.999651176674209 & 0.000697646651581582 & 0.000348823325790791 \tabularnewline
73 & 0.999665214454834 & 0.000669571090331706 & 0.000334785545165853 \tabularnewline
74 & 0.99963519919072 & 0.000729601618560691 & 0.000364800809280345 \tabularnewline
75 & 0.999680124009992 & 0.000639751980015337 & 0.000319875990007669 \tabularnewline
76 & 0.99962982027916 & 0.000740359441679735 & 0.000370179720839868 \tabularnewline
77 & 0.999722850421225 & 0.000554299157549753 & 0.000277149578774877 \tabularnewline
78 & 0.999645188195778 & 0.000709623608443926 & 0.000354811804221963 \tabularnewline
79 & 0.999626721108757 & 0.000746557782486491 & 0.000373278891243245 \tabularnewline
80 & 0.999483019823776 & 0.00103396035244791 & 0.000516980176223955 \tabularnewline
81 & 0.999282382441642 & 0.00143523511671681 & 0.000717617558358404 \tabularnewline
82 & 0.999391078107092 & 0.00121784378581679 & 0.000608921892908393 \tabularnewline
83 & 0.999623082801877 & 0.000753834396246382 & 0.000376917198123191 \tabularnewline
84 & 0.999650195068056 & 0.000699609863887517 & 0.000349804931943758 \tabularnewline
85 & 0.999557975409736 & 0.000884049180528579 & 0.000442024590264289 \tabularnewline
86 & 0.999562128248859 & 0.000875743502281161 & 0.000437871751140581 \tabularnewline
87 & 0.999435979339759 & 0.00112804132048259 & 0.000564020660241297 \tabularnewline
88 & 0.999350971022087 & 0.0012980579558256 & 0.0006490289779128 \tabularnewline
89 & 0.999776085216055 & 0.000447829567890374 & 0.000223914783945187 \tabularnewline
90 & 0.999700430037264 & 0.00059913992547133 & 0.000299569962735665 \tabularnewline
91 & 0.999721834441552 & 0.000556331116895658 & 0.000278165558447829 \tabularnewline
92 & 0.999642990089972 & 0.000714019820056777 & 0.000357009910028389 \tabularnewline
93 & 0.999634515002816 & 0.00073096999436784 & 0.00036548499718392 \tabularnewline
94 & 0.999520585241248 & 0.000958829517503195 & 0.000479414758751597 \tabularnewline
95 & 0.999418577562417 & 0.0011628448751662 & 0.0005814224375831 \tabularnewline
96 & 0.999336049303282 & 0.00132790139343686 & 0.000663950696718432 \tabularnewline
97 & 0.999198608545009 & 0.00160278290998117 & 0.000801391454990584 \tabularnewline
98 & 0.999999363377372 & 1.27324525574438e-06 & 6.36622627872188e-07 \tabularnewline
99 & 0.999999063955484 & 1.87208903150835e-06 & 9.36044515754173e-07 \tabularnewline
100 & 0.999998620727213 & 2.7585455733904e-06 & 1.3792727866952e-06 \tabularnewline
101 & 0.999998078667392 & 3.84266521660477e-06 & 1.92133260830238e-06 \tabularnewline
102 & 0.99999781998462 & 4.36003075966488e-06 & 2.18001537983244e-06 \tabularnewline
103 & 0.999999101744002 & 1.7965119959762e-06 & 8.98255997988101e-07 \tabularnewline
104 & 0.999998759634622 & 2.48073075527401e-06 & 1.24036537763701e-06 \tabularnewline
105 & 0.999998989503407 & 2.02099318498077e-06 & 1.01049659249039e-06 \tabularnewline
106 & 0.99999884260087 & 2.31479826091023e-06 & 1.15739913045511e-06 \tabularnewline
107 & 0.999998797186064 & 2.40562787121274e-06 & 1.20281393560637e-06 \tabularnewline
108 & 0.999998513747591 & 2.97250481749905e-06 & 1.48625240874952e-06 \tabularnewline
109 & 0.999998528634234 & 2.94273153107182e-06 & 1.47136576553591e-06 \tabularnewline
110 & 0.999997760104314 & 4.47979137113623e-06 & 2.23989568556811e-06 \tabularnewline
111 & 0.999997012724197 & 5.97455160646759e-06 & 2.98727580323379e-06 \tabularnewline
112 & 0.999996756186526 & 6.48762694735322e-06 & 3.24381347367661e-06 \tabularnewline
113 & 0.999995654580212 & 8.69083957649778e-06 & 4.34541978824889e-06 \tabularnewline
114 & 0.999993641516297 & 1.27169674067174e-05 & 6.35848370335872e-06 \tabularnewline
115 & 0.999993442359286 & 1.3115281427809e-05 & 6.55764071390452e-06 \tabularnewline
116 & 0.999993670631472 & 1.26587370564726e-05 & 6.32936852823632e-06 \tabularnewline
117 & 0.999992727491347 & 1.45450173061043e-05 & 7.27250865305217e-06 \tabularnewline
118 & 0.999996397129473 & 7.20574105367126e-06 & 3.60287052683563e-06 \tabularnewline
119 & 0.999994631072133 & 1.07378557336627e-05 & 5.36892786683135e-06 \tabularnewline
120 & 0.999993770907674 & 1.2458184651775e-05 & 6.22909232588751e-06 \tabularnewline
121 & 0.999991114742838 & 1.77705143248425e-05 & 8.88525716242123e-06 \tabularnewline
122 & 0.999996086900084 & 7.82619983150031e-06 & 3.91309991575016e-06 \tabularnewline
123 & 0.999995588182803 & 8.82363439401031e-06 & 4.41181719700515e-06 \tabularnewline
124 & 0.999998763506242 & 2.47298751563418e-06 & 1.23649375781709e-06 \tabularnewline
125 & 0.999999945350279 & 1.09299441889559e-07 & 5.46497209447796e-08 \tabularnewline
126 & 0.999999933799923 & 1.32400154938915e-07 & 6.62000774694573e-08 \tabularnewline
127 & 0.999999905129777 & 1.89740445108821e-07 & 9.48702225544107e-08 \tabularnewline
128 & 0.999999861301288 & 2.77397423254289e-07 & 1.38698711627145e-07 \tabularnewline
129 & 0.999999809328937 & 3.81342125831678e-07 & 1.90671062915839e-07 \tabularnewline
130 & 0.999999700271139 & 5.99457722772815e-07 & 2.99728861386407e-07 \tabularnewline
131 & 0.999999543392625 & 9.13214749828944e-07 & 4.56607374914472e-07 \tabularnewline
132 & 0.999999796029571 & 4.07940858613341e-07 & 2.03970429306671e-07 \tabularnewline
133 & 0.999999734082072 & 5.31835855497838e-07 & 2.65917927748919e-07 \tabularnewline
134 & 0.999999968796759 & 6.24064817851096e-08 & 3.12032408925548e-08 \tabularnewline
135 & 0.999999958469988 & 8.30600237277792e-08 & 4.15300118638896e-08 \tabularnewline
136 & 0.999999986729906 & 2.65401887388897e-08 & 1.32700943694449e-08 \tabularnewline
137 & 0.999999978327431 & 4.33451376004781e-08 & 2.1672568800239e-08 \tabularnewline
138 & 0.999999988839122 & 2.23217560582816e-08 & 1.11608780291408e-08 \tabularnewline
139 & 0.999999985814555 & 2.83708891497166e-08 & 1.41854445748583e-08 \tabularnewline
140 & 0.999999978064939 & 4.38701228548232e-08 & 2.19350614274116e-08 \tabularnewline
141 & 0.999999977149161 & 4.57016786029886e-08 & 2.28508393014943e-08 \tabularnewline
142 & 0.999999967605915 & 6.47881704928007e-08 & 3.23940852464003e-08 \tabularnewline
143 & 0.999999949667755 & 1.0066448934354e-07 & 5.03322446717702e-08 \tabularnewline
144 & 0.999999924832539 & 1.5033492142248e-07 & 7.51674607112401e-08 \tabularnewline
145 & 0.99999989839695 & 2.0320609982178e-07 & 1.0160304991089e-07 \tabularnewline
146 & 0.999999886808867 & 2.26382265181225e-07 & 1.13191132590613e-07 \tabularnewline
147 & 0.999999836448307 & 3.2710338629531e-07 & 1.63551693147655e-07 \tabularnewline
148 & 0.999999762889001 & 4.74221997325247e-07 & 2.37110998662623e-07 \tabularnewline
149 & 0.999999673965792 & 6.52068416291933e-07 & 3.26034208145966e-07 \tabularnewline
150 & 0.999999494610175 & 1.01077965048005e-06 & 5.05389825240023e-07 \tabularnewline
151 & 0.999999501723595 & 9.96552810936115e-07 & 4.98276405468058e-07 \tabularnewline
152 & 0.999999432419414 & 1.13516117203454e-06 & 5.6758058601727e-07 \tabularnewline
153 & 0.999999284791993 & 1.43041601380124e-06 & 7.15208006900622e-07 \tabularnewline
154 & 0.999999047276222 & 1.90544755529492e-06 & 9.52723777647461e-07 \tabularnewline
155 & 0.999998847695487 & 2.30460902627294e-06 & 1.15230451313647e-06 \tabularnewline
156 & 0.999999619481592 & 7.61036816340117e-07 & 3.80518408170059e-07 \tabularnewline
157 & 0.999999687199364 & 6.2560127089837e-07 & 3.12800635449185e-07 \tabularnewline
158 & 0.999999706045811 & 5.8790837835362e-07 & 2.9395418917681e-07 \tabularnewline
159 & 0.999999653307287 & 6.93385425111629e-07 & 3.46692712555815e-07 \tabularnewline
160 & 0.999999478192374 & 1.04361525155337e-06 & 5.21807625776687e-07 \tabularnewline
161 & 0.999999458233121 & 1.08353375872588e-06 & 5.41766879362939e-07 \tabularnewline
162 & 0.999999245270974 & 1.50945805296662e-06 & 7.54729026483309e-07 \tabularnewline
163 & 0.999999027037855 & 1.94592429022054e-06 & 9.72962145110268e-07 \tabularnewline
164 & 0.999998602343244 & 2.79531351213497e-06 & 1.39765675606748e-06 \tabularnewline
165 & 0.999998716467669 & 2.56706466193967e-06 & 1.28353233096983e-06 \tabularnewline
166 & 0.999999516526849 & 9.66946301998834e-07 & 4.83473150999417e-07 \tabularnewline
167 & 0.99999928520518 & 1.42958964015806e-06 & 7.14794820079031e-07 \tabularnewline
168 & 0.999998904735181 & 2.19052963882614e-06 & 1.09526481941307e-06 \tabularnewline
169 & 0.999998688903199 & 2.62219360244683e-06 & 1.31109680122342e-06 \tabularnewline
170 & 0.999999989678541 & 2.06429182946464e-08 & 1.03214591473232e-08 \tabularnewline
171 & 0.999999983085651 & 3.38286973146397e-08 & 1.69143486573199e-08 \tabularnewline
172 & 0.99999997636932 & 4.72613592354016e-08 & 2.36306796177008e-08 \tabularnewline
173 & 0.999999960382116 & 7.9235767992026e-08 & 3.9617883996013e-08 \tabularnewline
174 & 0.999999981609838 & 3.67803239001395e-08 & 1.83901619500697e-08 \tabularnewline
175 & 0.999999999141512 & 1.71697616840562e-09 & 8.58488084202811e-10 \tabularnewline
176 & 0.999999998576408 & 2.84718466707734e-09 & 1.42359233353867e-09 \tabularnewline
177 & 0.999999998622701 & 2.75459809678694e-09 & 1.37729904839347e-09 \tabularnewline
178 & 0.999999997731204 & 4.53759134065642e-09 & 2.26879567032821e-09 \tabularnewline
179 & 0.999999995995044 & 8.00991202300463e-09 & 4.00495601150231e-09 \tabularnewline
180 & 0.999999998604067 & 2.79186538151724e-09 & 1.39593269075862e-09 \tabularnewline
181 & 0.999999998393703 & 3.21259401658201e-09 & 1.606297008291e-09 \tabularnewline
182 & 0.999999999876577 & 2.46846994428531e-10 & 1.23423497214265e-10 \tabularnewline
183 & 0.999999999774249 & 4.51502939503056e-10 & 2.25751469751528e-10 \tabularnewline
184 & 0.999999999776696 & 4.46608475943909e-10 & 2.23304237971955e-10 \tabularnewline
185 & 0.999999999838528 & 3.22943831704623e-10 & 1.61471915852311e-10 \tabularnewline
186 & 0.999999999711471 & 5.77057490410853e-10 & 2.88528745205427e-10 \tabularnewline
187 & 0.999999999478912 & 1.04217504703671e-09 & 5.21087523518356e-10 \tabularnewline
188 & 0.999999999100996 & 1.79800791389921e-09 & 8.99003956949604e-10 \tabularnewline
189 & 0.999999998712437 & 2.57512620004459e-09 & 1.28756310002229e-09 \tabularnewline
190 & 0.999999997844544 & 4.31091152897776e-09 & 2.15545576448888e-09 \tabularnewline
191 & 0.999999999230621 & 1.53875773649805e-09 & 7.69378868249026e-10 \tabularnewline
192 & 0.999999998609729 & 2.78054263484188e-09 & 1.39027131742094e-09 \tabularnewline
193 & 0.999999997837394 & 4.3252111195751e-09 & 2.16260555978755e-09 \tabularnewline
194 & 0.999999996868762 & 6.26247630295692e-09 & 3.13123815147846e-09 \tabularnewline
195 & 0.999999995125095 & 9.74980935625924e-09 & 4.87490467812962e-09 \tabularnewline
196 & 0.999999992287558 & 1.54248843005574e-08 & 7.71244215027872e-09 \tabularnewline
197 & 0.999999990249427 & 1.9501145093663e-08 & 9.7505725468315e-09 \tabularnewline
198 & 0.999999984615288 & 3.07694240970271e-08 & 1.53847120485135e-08 \tabularnewline
199 & 0.999999989345944 & 2.13081117472249e-08 & 1.06540558736125e-08 \tabularnewline
200 & 0.999999980844966 & 3.83100674624103e-08 & 1.91550337312052e-08 \tabularnewline
201 & 0.999999966549827 & 6.69003450865489e-08 & 3.34501725432745e-08 \tabularnewline
202 & 0.999999949414395 & 1.01171209236266e-07 & 5.05856046181331e-08 \tabularnewline
203 & 0.999999927721995 & 1.44556010622085e-07 & 7.22780053110426e-08 \tabularnewline
204 & 0.999999886179375 & 2.27641249190614e-07 & 1.13820624595307e-07 \tabularnewline
205 & 0.999999884900424 & 2.30199152269461e-07 & 1.1509957613473e-07 \tabularnewline
206 & 0.99999982388572 & 3.52228560427419e-07 & 1.7611428021371e-07 \tabularnewline
207 & 0.999999702858335 & 5.94283330052637e-07 & 2.97141665026319e-07 \tabularnewline
208 & 0.99999996241488 & 7.51702407483045e-08 & 3.75851203741523e-08 \tabularnewline
209 & 0.999999977072196 & 4.58556069829514e-08 & 2.29278034914757e-08 \tabularnewline
210 & 0.999999966323936 & 6.73521271190602e-08 & 3.36760635595301e-08 \tabularnewline
211 & 0.999999954096491 & 9.1807018053438e-08 & 4.5903509026719e-08 \tabularnewline
212 & 0.999999979877375 & 4.02452503195285e-08 & 2.01226251597643e-08 \tabularnewline
213 & 0.999999962439935 & 7.51201306713102e-08 & 3.75600653356551e-08 \tabularnewline
214 & 0.999999931866143 & 1.36267714438718e-07 & 6.81338572193591e-08 \tabularnewline
215 & 0.999999941600442 & 1.16799116098136e-07 & 5.8399558049068e-08 \tabularnewline
216 & 0.999999914340458 & 1.71319084156922e-07 & 8.56595420784611e-08 \tabularnewline
217 & 0.999999953088076 & 9.38238485491666e-08 & 4.69119242745833e-08 \tabularnewline
218 & 0.999999913726883 & 1.7254623435464e-07 & 8.627311717732e-08 \tabularnewline
219 & 0.999999845638243 & 3.08723514985701e-07 & 1.54361757492851e-07 \tabularnewline
220 & 0.999999880015685 & 2.39968629499629e-07 & 1.19984314749814e-07 \tabularnewline
221 & 0.999999797762034 & 4.044759327616e-07 & 2.022379663808e-07 \tabularnewline
222 & 0.999999670391029 & 6.59217942598508e-07 & 3.29608971299254e-07 \tabularnewline
223 & 0.99999990735549 & 1.85289019561453e-07 & 9.26445097807263e-08 \tabularnewline
224 & 0.999999843780666 & 3.12438668040834e-07 & 1.56219334020417e-07 \tabularnewline
225 & 0.999999721266353 & 5.57467293664981e-07 & 2.78733646832491e-07 \tabularnewline
226 & 0.999999478839206 & 1.04232158735169e-06 & 5.21160793675845e-07 \tabularnewline
227 & 0.999999245899443 & 1.50820111336164e-06 & 7.54100556680822e-07 \tabularnewline
228 & 0.999999276980129 & 1.44603974212544e-06 & 7.23019871062719e-07 \tabularnewline
229 & 0.999998908813607 & 2.18237278541392e-06 & 1.09118639270696e-06 \tabularnewline
230 & 0.999999397684679 & 1.2046306421473e-06 & 6.02315321073649e-07 \tabularnewline
231 & 0.999999268518803 & 1.46296239449538e-06 & 7.3148119724769e-07 \tabularnewline
232 & 0.999998631604751 & 2.73679049800011e-06 & 1.36839524900006e-06 \tabularnewline
233 & 0.999999455799496 & 1.08840100863049e-06 & 5.44200504315244e-07 \tabularnewline
234 & 0.999998982833192 & 2.03433361552287e-06 & 1.01716680776144e-06 \tabularnewline
235 & 0.999999262539219 & 1.47492156135447e-06 & 7.37460780677233e-07 \tabularnewline
236 & 0.999998733613446 & 2.53277310773816e-06 & 1.26638655386908e-06 \tabularnewline
237 & 0.999999975484133 & 4.90317330221625e-08 & 2.45158665110813e-08 \tabularnewline
238 & 0.999999965010854 & 6.99782911024172e-08 & 3.49891455512086e-08 \tabularnewline
239 & 0.999999954396019 & 9.12079628222319e-08 & 4.5603981411116e-08 \tabularnewline
240 & 0.999999973658929 & 5.2682142309867e-08 & 2.63410711549335e-08 \tabularnewline
241 & 0.999999949862849 & 1.00274301660371e-07 & 5.01371508301855e-08 \tabularnewline
242 & 0.99999990415734 & 1.91685319362509e-07 & 9.58426596812547e-08 \tabularnewline
243 & 0.999999917262332 & 1.65475335910784e-07 & 8.27376679553922e-08 \tabularnewline
244 & 0.999999846010977 & 3.0797804554104e-07 & 1.5398902277052e-07 \tabularnewline
245 & 0.999999656696619 & 6.8660676208222e-07 & 3.4330338104111e-07 \tabularnewline
246 & 0.999999280384259 & 1.43923148206332e-06 & 7.19615741031659e-07 \tabularnewline
247 & 0.999999068009995 & 1.86398001011957e-06 & 9.31990005059786e-07 \tabularnewline
248 & 0.999998968962387 & 2.06207522596968e-06 & 1.03103761298484e-06 \tabularnewline
249 & 0.999997761492053 & 4.47701589346455e-06 & 2.23850794673228e-06 \tabularnewline
250 & 0.999997018169355 & 5.96366128971631e-06 & 2.98183064485815e-06 \tabularnewline
251 & 0.999996892270744 & 6.21545851267129e-06 & 3.10772925633564e-06 \tabularnewline
252 & 0.999994048598947 & 1.19028021063851e-05 & 5.95140105319253e-06 \tabularnewline
253 & 0.999987125292927 & 2.57494141451225e-05 & 1.28747070725612e-05 \tabularnewline
254 & 0.999972591193155 & 5.48176136895015e-05 & 2.74088068447508e-05 \tabularnewline
255 & 0.999960951587011 & 7.80968259780517e-05 & 3.90484129890259e-05 \tabularnewline
256 & 0.999933753042736 & 0.000132493914527462 & 6.62469572637312e-05 \tabularnewline
257 & 0.999912246616262 & 0.000175506767477001 & 8.77533837385005e-05 \tabularnewline
258 & 0.999832421423009 & 0.000335157153981927 & 0.000167578576990964 \tabularnewline
259 & 0.999738950742945 & 0.000522098514109068 & 0.000261049257054534 \tabularnewline
260 & 0.999481599973996 & 0.00103680005200761 & 0.000518400026003804 \tabularnewline
261 & 0.999525601173783 & 0.00094879765243419 & 0.000474398826217095 \tabularnewline
262 & 0.999153113737716 & 0.00169377252456772 & 0.000846886262283861 \tabularnewline
263 & 0.998309847023023 & 0.00338030595395475 & 0.00169015297697737 \tabularnewline
264 & 0.997300857345525 & 0.00539828530895017 & 0.00269914265447509 \tabularnewline
265 & 0.996760776234076 & 0.00647844753184707 & 0.00323922376592354 \tabularnewline
266 & 0.99364874973088 & 0.0127025005382399 & 0.00635125026911996 \tabularnewline
267 & 0.996816463914154 & 0.0063670721716921 & 0.00318353608584605 \tabularnewline
268 & 0.996173966017468 & 0.00765206796506381 & 0.0038260339825319 \tabularnewline
269 & 0.999978947996527 & 4.21040069453111e-05 & 2.10520034726555e-05 \tabularnewline
270 & 0.999979800510334 & 4.03989793315367e-05 & 2.01994896657684e-05 \tabularnewline
271 & 0.99994552767319 & 0.000108944653619846 & 5.44723268099228e-05 \tabularnewline
272 & 0.99981087141211 & 0.000378257175779841 & 0.000189128587889921 \tabularnewline
273 & 0.999549788670743 & 0.00090042265851365 & 0.000450211329256825 \tabularnewline
274 & 0.998241254935274 & 0.00351749012945171 & 0.00175874506472585 \tabularnewline
275 & 0.994295527672911 & 0.0114089446541772 & 0.00570447232708858 \tabularnewline
276 & 0.99053734478778 & 0.0189253104244397 & 0.00946265521221984 \tabularnewline
277 & 0.971825972564765 & 0.0563480548704708 & 0.0281740274352354 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=202220&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]0.331631638978622[/C][C]0.663263277957245[/C][C]0.668368361021378[/C][/ROW]
[ROW][C]13[/C][C]0.750980178202321[/C][C]0.498039643595358[/C][C]0.249019821797679[/C][/ROW]
[ROW][C]14[/C][C]0.631045201844313[/C][C]0.737909596311374[/C][C]0.368954798155687[/C][/ROW]
[ROW][C]15[/C][C]0.534243391076366[/C][C]0.931513217847269[/C][C]0.465756608923634[/C][/ROW]
[ROW][C]16[/C][C]0.431297113859099[/C][C]0.862594227718198[/C][C]0.568702886140901[/C][/ROW]
[ROW][C]17[/C][C]0.93322497935034[/C][C]0.13355004129932[/C][C]0.0667750206496599[/C][/ROW]
[ROW][C]18[/C][C]0.905689307935539[/C][C]0.188621384128922[/C][C]0.0943106920644609[/C][/ROW]
[ROW][C]19[/C][C]0.896995794576871[/C][C]0.206008410846259[/C][C]0.10300420542313[/C][/ROW]
[ROW][C]20[/C][C]0.926932300174532[/C][C]0.146135399650936[/C][C]0.073067699825468[/C][/ROW]
[ROW][C]21[/C][C]0.908052471464715[/C][C]0.183895057070571[/C][C]0.0919475285352853[/C][/ROW]
[ROW][C]22[/C][C]0.876844552348105[/C][C]0.246310895303791[/C][C]0.123155447651895[/C][/ROW]
[ROW][C]23[/C][C]0.997559587562[/C][C]0.00488082487599973[/C][C]0.00244041243799986[/C][/ROW]
[ROW][C]24[/C][C]0.996444388959583[/C][C]0.00711122208083456[/C][C]0.00355561104041728[/C][/ROW]
[ROW][C]25[/C][C]0.995363828048268[/C][C]0.0092723439034647[/C][C]0.00463617195173235[/C][/ROW]
[ROW][C]26[/C][C]0.999110623369946[/C][C]0.00177875326010871[/C][C]0.000889376630054356[/C][/ROW]
[ROW][C]27[/C][C]0.999484916402139[/C][C]0.00103016719572144[/C][C]0.000515083597860719[/C][/ROW]
[ROW][C]28[/C][C]0.999156850868754[/C][C]0.00168629826249216[/C][C]0.000843149131246078[/C][/ROW]
[ROW][C]29[/C][C]0.999123417361174[/C][C]0.0017531652776526[/C][C]0.000876582638826301[/C][/ROW]
[ROW][C]30[/C][C]0.998976695563498[/C][C]0.0020466088730034[/C][C]0.0010233044365017[/C][/ROW]
[ROW][C]31[/C][C]0.998950382760385[/C][C]0.00209923447923078[/C][C]0.00104961723961539[/C][/ROW]
[ROW][C]32[/C][C]0.998347043403541[/C][C]0.0033059131929185[/C][C]0.00165295659645925[/C][/ROW]
[ROW][C]33[/C][C]0.997531872591797[/C][C]0.00493625481640578[/C][C]0.00246812740820289[/C][/ROW]
[ROW][C]34[/C][C]0.997686166278591[/C][C]0.00462766744281738[/C][C]0.00231383372140869[/C][/ROW]
[ROW][C]35[/C][C]0.997748951599679[/C][C]0.00450209680064133[/C][C]0.00225104840032067[/C][/ROW]
[ROW][C]36[/C][C]0.997225925082066[/C][C]0.00554814983586786[/C][C]0.00277407491793393[/C][/ROW]
[ROW][C]37[/C][C]0.996296676685176[/C][C]0.00740664662964865[/C][C]0.00370332331482432[/C][/ROW]
[ROW][C]38[/C][C]0.994678831118885[/C][C]0.0106423377622292[/C][C]0.00532116888111459[/C][/ROW]
[ROW][C]39[/C][C]0.998324220280462[/C][C]0.00335155943907606[/C][C]0.00167577971953803[/C][/ROW]
[ROW][C]40[/C][C]0.998614519214429[/C][C]0.00277096157114099[/C][C]0.00138548078557049[/C][/ROW]
[ROW][C]41[/C][C]0.998043498720181[/C][C]0.00391300255963821[/C][C]0.0019565012798191[/C][/ROW]
[ROW][C]42[/C][C]0.997510946587375[/C][C]0.00497810682524982[/C][C]0.00248905341262491[/C][/ROW]
[ROW][C]43[/C][C]0.996941571728952[/C][C]0.00611685654209637[/C][C]0.00305842827104818[/C][/ROW]
[ROW][C]44[/C][C]0.995639777550336[/C][C]0.00872044489932846[/C][C]0.00436022244966423[/C][/ROW]
[ROW][C]45[/C][C]0.996682800134957[/C][C]0.00663439973008611[/C][C]0.00331719986504306[/C][/ROW]
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[ROW][C]116[/C][C]0.999993670631472[/C][C]1.26587370564726e-05[/C][C]6.32936852823632e-06[/C][/ROW]
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[ROW][C]125[/C][C]0.999999945350279[/C][C]1.09299441889559e-07[/C][C]5.46497209447796e-08[/C][/ROW]
[ROW][C]126[/C][C]0.999999933799923[/C][C]1.32400154938915e-07[/C][C]6.62000774694573e-08[/C][/ROW]
[ROW][C]127[/C][C]0.999999905129777[/C][C]1.89740445108821e-07[/C][C]9.48702225544107e-08[/C][/ROW]
[ROW][C]128[/C][C]0.999999861301288[/C][C]2.77397423254289e-07[/C][C]1.38698711627145e-07[/C][/ROW]
[ROW][C]129[/C][C]0.999999809328937[/C][C]3.81342125831678e-07[/C][C]1.90671062915839e-07[/C][/ROW]
[ROW][C]130[/C][C]0.999999700271139[/C][C]5.99457722772815e-07[/C][C]2.99728861386407e-07[/C][/ROW]
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[ROW][C]167[/C][C]0.99999928520518[/C][C]1.42958964015806e-06[/C][C]7.14794820079031e-07[/C][/ROW]
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[ROW][C]179[/C][C]0.999999995995044[/C][C]8.00991202300463e-09[/C][C]4.00495601150231e-09[/C][/ROW]
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[ROW][C]184[/C][C]0.999999999776696[/C][C]4.46608475943909e-10[/C][C]2.23304237971955e-10[/C][/ROW]
[ROW][C]185[/C][C]0.999999999838528[/C][C]3.22943831704623e-10[/C][C]1.61471915852311e-10[/C][/ROW]
[ROW][C]186[/C][C]0.999999999711471[/C][C]5.77057490410853e-10[/C][C]2.88528745205427e-10[/C][/ROW]
[ROW][C]187[/C][C]0.999999999478912[/C][C]1.04217504703671e-09[/C][C]5.21087523518356e-10[/C][/ROW]
[ROW][C]188[/C][C]0.999999999100996[/C][C]1.79800791389921e-09[/C][C]8.99003956949604e-10[/C][/ROW]
[ROW][C]189[/C][C]0.999999998712437[/C][C]2.57512620004459e-09[/C][C]1.28756310002229e-09[/C][/ROW]
[ROW][C]190[/C][C]0.999999997844544[/C][C]4.31091152897776e-09[/C][C]2.15545576448888e-09[/C][/ROW]
[ROW][C]191[/C][C]0.999999999230621[/C][C]1.53875773649805e-09[/C][C]7.69378868249026e-10[/C][/ROW]
[ROW][C]192[/C][C]0.999999998609729[/C][C]2.78054263484188e-09[/C][C]1.39027131742094e-09[/C][/ROW]
[ROW][C]193[/C][C]0.999999997837394[/C][C]4.3252111195751e-09[/C][C]2.16260555978755e-09[/C][/ROW]
[ROW][C]194[/C][C]0.999999996868762[/C][C]6.26247630295692e-09[/C][C]3.13123815147846e-09[/C][/ROW]
[ROW][C]195[/C][C]0.999999995125095[/C][C]9.74980935625924e-09[/C][C]4.87490467812962e-09[/C][/ROW]
[ROW][C]196[/C][C]0.999999992287558[/C][C]1.54248843005574e-08[/C][C]7.71244215027872e-09[/C][/ROW]
[ROW][C]197[/C][C]0.999999990249427[/C][C]1.9501145093663e-08[/C][C]9.7505725468315e-09[/C][/ROW]
[ROW][C]198[/C][C]0.999999984615288[/C][C]3.07694240970271e-08[/C][C]1.53847120485135e-08[/C][/ROW]
[ROW][C]199[/C][C]0.999999989345944[/C][C]2.13081117472249e-08[/C][C]1.06540558736125e-08[/C][/ROW]
[ROW][C]200[/C][C]0.999999980844966[/C][C]3.83100674624103e-08[/C][C]1.91550337312052e-08[/C][/ROW]
[ROW][C]201[/C][C]0.999999966549827[/C][C]6.69003450865489e-08[/C][C]3.34501725432745e-08[/C][/ROW]
[ROW][C]202[/C][C]0.999999949414395[/C][C]1.01171209236266e-07[/C][C]5.05856046181331e-08[/C][/ROW]
[ROW][C]203[/C][C]0.999999927721995[/C][C]1.44556010622085e-07[/C][C]7.22780053110426e-08[/C][/ROW]
[ROW][C]204[/C][C]0.999999886179375[/C][C]2.27641249190614e-07[/C][C]1.13820624595307e-07[/C][/ROW]
[ROW][C]205[/C][C]0.999999884900424[/C][C]2.30199152269461e-07[/C][C]1.1509957613473e-07[/C][/ROW]
[ROW][C]206[/C][C]0.99999982388572[/C][C]3.52228560427419e-07[/C][C]1.7611428021371e-07[/C][/ROW]
[ROW][C]207[/C][C]0.999999702858335[/C][C]5.94283330052637e-07[/C][C]2.97141665026319e-07[/C][/ROW]
[ROW][C]208[/C][C]0.99999996241488[/C][C]7.51702407483045e-08[/C][C]3.75851203741523e-08[/C][/ROW]
[ROW][C]209[/C][C]0.999999977072196[/C][C]4.58556069829514e-08[/C][C]2.29278034914757e-08[/C][/ROW]
[ROW][C]210[/C][C]0.999999966323936[/C][C]6.73521271190602e-08[/C][C]3.36760635595301e-08[/C][/ROW]
[ROW][C]211[/C][C]0.999999954096491[/C][C]9.1807018053438e-08[/C][C]4.5903509026719e-08[/C][/ROW]
[ROW][C]212[/C][C]0.999999979877375[/C][C]4.02452503195285e-08[/C][C]2.01226251597643e-08[/C][/ROW]
[ROW][C]213[/C][C]0.999999962439935[/C][C]7.51201306713102e-08[/C][C]3.75600653356551e-08[/C][/ROW]
[ROW][C]214[/C][C]0.999999931866143[/C][C]1.36267714438718e-07[/C][C]6.81338572193591e-08[/C][/ROW]
[ROW][C]215[/C][C]0.999999941600442[/C][C]1.16799116098136e-07[/C][C]5.8399558049068e-08[/C][/ROW]
[ROW][C]216[/C][C]0.999999914340458[/C][C]1.71319084156922e-07[/C][C]8.56595420784611e-08[/C][/ROW]
[ROW][C]217[/C][C]0.999999953088076[/C][C]9.38238485491666e-08[/C][C]4.69119242745833e-08[/C][/ROW]
[ROW][C]218[/C][C]0.999999913726883[/C][C]1.7254623435464e-07[/C][C]8.627311717732e-08[/C][/ROW]
[ROW][C]219[/C][C]0.999999845638243[/C][C]3.08723514985701e-07[/C][C]1.54361757492851e-07[/C][/ROW]
[ROW][C]220[/C][C]0.999999880015685[/C][C]2.39968629499629e-07[/C][C]1.19984314749814e-07[/C][/ROW]
[ROW][C]221[/C][C]0.999999797762034[/C][C]4.044759327616e-07[/C][C]2.022379663808e-07[/C][/ROW]
[ROW][C]222[/C][C]0.999999670391029[/C][C]6.59217942598508e-07[/C][C]3.29608971299254e-07[/C][/ROW]
[ROW][C]223[/C][C]0.99999990735549[/C][C]1.85289019561453e-07[/C][C]9.26445097807263e-08[/C][/ROW]
[ROW][C]224[/C][C]0.999999843780666[/C][C]3.12438668040834e-07[/C][C]1.56219334020417e-07[/C][/ROW]
[ROW][C]225[/C][C]0.999999721266353[/C][C]5.57467293664981e-07[/C][C]2.78733646832491e-07[/C][/ROW]
[ROW][C]226[/C][C]0.999999478839206[/C][C]1.04232158735169e-06[/C][C]5.21160793675845e-07[/C][/ROW]
[ROW][C]227[/C][C]0.999999245899443[/C][C]1.50820111336164e-06[/C][C]7.54100556680822e-07[/C][/ROW]
[ROW][C]228[/C][C]0.999999276980129[/C][C]1.44603974212544e-06[/C][C]7.23019871062719e-07[/C][/ROW]
[ROW][C]229[/C][C]0.999998908813607[/C][C]2.18237278541392e-06[/C][C]1.09118639270696e-06[/C][/ROW]
[ROW][C]230[/C][C]0.999999397684679[/C][C]1.2046306421473e-06[/C][C]6.02315321073649e-07[/C][/ROW]
[ROW][C]231[/C][C]0.999999268518803[/C][C]1.46296239449538e-06[/C][C]7.3148119724769e-07[/C][/ROW]
[ROW][C]232[/C][C]0.999998631604751[/C][C]2.73679049800011e-06[/C][C]1.36839524900006e-06[/C][/ROW]
[ROW][C]233[/C][C]0.999999455799496[/C][C]1.08840100863049e-06[/C][C]5.44200504315244e-07[/C][/ROW]
[ROW][C]234[/C][C]0.999998982833192[/C][C]2.03433361552287e-06[/C][C]1.01716680776144e-06[/C][/ROW]
[ROW][C]235[/C][C]0.999999262539219[/C][C]1.47492156135447e-06[/C][C]7.37460780677233e-07[/C][/ROW]
[ROW][C]236[/C][C]0.999998733613446[/C][C]2.53277310773816e-06[/C][C]1.26638655386908e-06[/C][/ROW]
[ROW][C]237[/C][C]0.999999975484133[/C][C]4.90317330221625e-08[/C][C]2.45158665110813e-08[/C][/ROW]
[ROW][C]238[/C][C]0.999999965010854[/C][C]6.99782911024172e-08[/C][C]3.49891455512086e-08[/C][/ROW]
[ROW][C]239[/C][C]0.999999954396019[/C][C]9.12079628222319e-08[/C][C]4.5603981411116e-08[/C][/ROW]
[ROW][C]240[/C][C]0.999999973658929[/C][C]5.2682142309867e-08[/C][C]2.63410711549335e-08[/C][/ROW]
[ROW][C]241[/C][C]0.999999949862849[/C][C]1.00274301660371e-07[/C][C]5.01371508301855e-08[/C][/ROW]
[ROW][C]242[/C][C]0.99999990415734[/C][C]1.91685319362509e-07[/C][C]9.58426596812547e-08[/C][/ROW]
[ROW][C]243[/C][C]0.999999917262332[/C][C]1.65475335910784e-07[/C][C]8.27376679553922e-08[/C][/ROW]
[ROW][C]244[/C][C]0.999999846010977[/C][C]3.0797804554104e-07[/C][C]1.5398902277052e-07[/C][/ROW]
[ROW][C]245[/C][C]0.999999656696619[/C][C]6.8660676208222e-07[/C][C]3.4330338104111e-07[/C][/ROW]
[ROW][C]246[/C][C]0.999999280384259[/C][C]1.43923148206332e-06[/C][C]7.19615741031659e-07[/C][/ROW]
[ROW][C]247[/C][C]0.999999068009995[/C][C]1.86398001011957e-06[/C][C]9.31990005059786e-07[/C][/ROW]
[ROW][C]248[/C][C]0.999998968962387[/C][C]2.06207522596968e-06[/C][C]1.03103761298484e-06[/C][/ROW]
[ROW][C]249[/C][C]0.999997761492053[/C][C]4.47701589346455e-06[/C][C]2.23850794673228e-06[/C][/ROW]
[ROW][C]250[/C][C]0.999997018169355[/C][C]5.96366128971631e-06[/C][C]2.98183064485815e-06[/C][/ROW]
[ROW][C]251[/C][C]0.999996892270744[/C][C]6.21545851267129e-06[/C][C]3.10772925633564e-06[/C][/ROW]
[ROW][C]252[/C][C]0.999994048598947[/C][C]1.19028021063851e-05[/C][C]5.95140105319253e-06[/C][/ROW]
[ROW][C]253[/C][C]0.999987125292927[/C][C]2.57494141451225e-05[/C][C]1.28747070725612e-05[/C][/ROW]
[ROW][C]254[/C][C]0.999972591193155[/C][C]5.48176136895015e-05[/C][C]2.74088068447508e-05[/C][/ROW]
[ROW][C]255[/C][C]0.999960951587011[/C][C]7.80968259780517e-05[/C][C]3.90484129890259e-05[/C][/ROW]
[ROW][C]256[/C][C]0.999933753042736[/C][C]0.000132493914527462[/C][C]6.62469572637312e-05[/C][/ROW]
[ROW][C]257[/C][C]0.999912246616262[/C][C]0.000175506767477001[/C][C]8.77533837385005e-05[/C][/ROW]
[ROW][C]258[/C][C]0.999832421423009[/C][C]0.000335157153981927[/C][C]0.000167578576990964[/C][/ROW]
[ROW][C]259[/C][C]0.999738950742945[/C][C]0.000522098514109068[/C][C]0.000261049257054534[/C][/ROW]
[ROW][C]260[/C][C]0.999481599973996[/C][C]0.00103680005200761[/C][C]0.000518400026003804[/C][/ROW]
[ROW][C]261[/C][C]0.999525601173783[/C][C]0.00094879765243419[/C][C]0.000474398826217095[/C][/ROW]
[ROW][C]262[/C][C]0.999153113737716[/C][C]0.00169377252456772[/C][C]0.000846886262283861[/C][/ROW]
[ROW][C]263[/C][C]0.998309847023023[/C][C]0.00338030595395475[/C][C]0.00169015297697737[/C][/ROW]
[ROW][C]264[/C][C]0.997300857345525[/C][C]0.00539828530895017[/C][C]0.00269914265447509[/C][/ROW]
[ROW][C]265[/C][C]0.996760776234076[/C][C]0.00647844753184707[/C][C]0.00323922376592354[/C][/ROW]
[ROW][C]266[/C][C]0.99364874973088[/C][C]0.0127025005382399[/C][C]0.00635125026911996[/C][/ROW]
[ROW][C]267[/C][C]0.996816463914154[/C][C]0.0063670721716921[/C][C]0.00318353608584605[/C][/ROW]
[ROW][C]268[/C][C]0.996173966017468[/C][C]0.00765206796506381[/C][C]0.0038260339825319[/C][/ROW]
[ROW][C]269[/C][C]0.999978947996527[/C][C]4.21040069453111e-05[/C][C]2.10520034726555e-05[/C][/ROW]
[ROW][C]270[/C][C]0.999979800510334[/C][C]4.03989793315367e-05[/C][C]2.01994896657684e-05[/C][/ROW]
[ROW][C]271[/C][C]0.99994552767319[/C][C]0.000108944653619846[/C][C]5.44723268099228e-05[/C][/ROW]
[ROW][C]272[/C][C]0.99981087141211[/C][C]0.000378257175779841[/C][C]0.000189128587889921[/C][/ROW]
[ROW][C]273[/C][C]0.999549788670743[/C][C]0.00090042265851365[/C][C]0.000450211329256825[/C][/ROW]
[ROW][C]274[/C][C]0.998241254935274[/C][C]0.00351749012945171[/C][C]0.00175874506472585[/C][/ROW]
[ROW][C]275[/C][C]0.994295527672911[/C][C]0.0114089446541772[/C][C]0.00570447232708858[/C][/ROW]
[ROW][C]276[/C][C]0.99053734478778[/C][C]0.0189253104244397[/C][C]0.00946265521221984[/C][/ROW]
[ROW][C]277[/C][C]0.971825972564765[/C][C]0.0563480548704708[/C][C]0.0281740274352354[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=202220&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=202220&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
120.3316316389786220.6632632779572450.668368361021378
130.7509801782023210.4980396435953580.249019821797679
140.6310452018443130.7379095963113740.368954798155687
150.5342433910763660.9315132178472690.465756608923634
160.4312971138590990.8625942277181980.568702886140901
170.933224979350340.133550041299320.0667750206496599
180.9056893079355390.1886213841289220.0943106920644609
190.8969957945768710.2060084108462590.10300420542313
200.9269323001745320.1461353996509360.073067699825468
210.9080524714647150.1838950570705710.0919475285352853
220.8768445523481050.2463108953037910.123155447651895
230.9975595875620.004880824875999730.00244041243799986
240.9964443889595830.007111222080834560.00355561104041728
250.9953638280482680.00927234390346470.00463617195173235
260.9991106233699460.001778753260108710.000889376630054356
270.9994849164021390.001030167195721440.000515083597860719
280.9991568508687540.001686298262492160.000843149131246078
290.9991234173611740.00175316527765260.000876582638826301
300.9989766955634980.00204660887300340.0010233044365017
310.9989503827603850.002099234479230780.00104961723961539
320.9983470434035410.00330591319291850.00165295659645925
330.9975318725917970.004936254816405780.00246812740820289
340.9976861662785910.004627667442817380.00231383372140869
350.9977489515996790.004502096800641330.00225104840032067
360.9972259250820660.005548149835867860.00277407491793393
370.9962966766851760.007406646629648650.00370332331482432
380.9946788311188850.01064233776222920.00532116888111459
390.9983242202804620.003351559439076060.00167577971953803
400.9986145192144290.002770961571140990.00138548078557049
410.9980434987201810.003913002559638210.0019565012798191
420.9975109465873750.004978106825249820.00248905341262491
430.9969415717289520.006116856542096370.00305842827104818
440.9956397775503360.008720444899328460.00436022244966423
450.9966828001349570.006634399730086110.00331719986504306
460.9954414801285050.009117039742989290.00455851987149464
470.9951755899308440.009648820138311140.00482441006915557
480.9933367526959620.01332649460807660.0066632473040383
490.9912065478785380.01758690424292420.00879345212146208
500.9985003874930760.002999225013847040.00149961250692352
510.9998383288621030.0003233422757932480.000161671137896624
520.9997756469982210.0004487060035579010.000224353001778951
530.9997201556129640.0005596887740729470.000279844387036473
540.9996857553082090.0006284893835810750.000314244691790537
550.9998931821802380.000213635639523080.00010681781976154
560.9998411665471880.0003176669056241720.000158833452812086
570.9998131292028270.0003737415943453720.000186870797172686
580.999958129188298.37416234204821e-054.18708117102411e-05
590.9999368232565540.0001263534868928886.31767434464438e-05
600.9999121210289620.0001757579420756668.78789710378329e-05
610.9998795930131960.0002408139736088760.000120406986804438
620.9998918638325080.0002162723349839330.000108136167491966
630.9998802628560330.0002394742879348270.000119737143967414
640.999826196969940.0003476060601198710.000173803030059936
650.9997617607668770.0004764784662455890.000238239233122795
660.9996596548999330.0006806902001343440.000340345100067172
670.999609598985620.0007808020287604620.000390401014380231
680.9994511341440310.001097731711938310.000548865855969155
690.9992414652261930.001517069547613790.000758534773806894
700.9994685419509230.001062916098153210.000531458049076604
710.999322908033090.001354183933819070.000677091966909537
720.9996511766742090.0006976466515815820.000348823325790791
730.9996652144548340.0006695710903317060.000334785545165853
740.999635199190720.0007296016185606910.000364800809280345
750.9996801240099920.0006397519800153370.000319875990007669
760.999629820279160.0007403594416797350.000370179720839868
770.9997228504212250.0005542991575497530.000277149578774877
780.9996451881957780.0007096236084439260.000354811804221963
790.9996267211087570.0007465577824864910.000373278891243245
800.9994830198237760.001033960352447910.000516980176223955
810.9992823824416420.001435235116716810.000717617558358404
820.9993910781070920.001217843785816790.000608921892908393
830.9996230828018770.0007538343962463820.000376917198123191
840.9996501950680560.0006996098638875170.000349804931943758
850.9995579754097360.0008840491805285790.000442024590264289
860.9995621282488590.0008757435022811610.000437871751140581
870.9994359793397590.001128041320482590.000564020660241297
880.9993509710220870.00129805795582560.0006490289779128
890.9997760852160550.0004478295678903740.000223914783945187
900.9997004300372640.000599139925471330.000299569962735665
910.9997218344415520.0005563311168956580.000278165558447829
920.9996429900899720.0007140198200567770.000357009910028389
930.9996345150028160.000730969994367840.00036548499718392
940.9995205852412480.0009588295175031950.000479414758751597
950.9994185775624170.00116284487516620.0005814224375831
960.9993360493032820.001327901393436860.000663950696718432
970.9991986085450090.001602782909981170.000801391454990584
980.9999993633773721.27324525574438e-066.36622627872188e-07
990.9999990639554841.87208903150835e-069.36044515754173e-07
1000.9999986207272132.7585455733904e-061.3792727866952e-06
1010.9999980786673923.84266521660477e-061.92133260830238e-06
1020.999997819984624.36003075966488e-062.18001537983244e-06
1030.9999991017440021.7965119959762e-068.98255997988101e-07
1040.9999987596346222.48073075527401e-061.24036537763701e-06
1050.9999989895034072.02099318498077e-061.01049659249039e-06
1060.999998842600872.31479826091023e-061.15739913045511e-06
1070.9999987971860642.40562787121274e-061.20281393560637e-06
1080.9999985137475912.97250481749905e-061.48625240874952e-06
1090.9999985286342342.94273153107182e-061.47136576553591e-06
1100.9999977601043144.47979137113623e-062.23989568556811e-06
1110.9999970127241975.97455160646759e-062.98727580323379e-06
1120.9999967561865266.48762694735322e-063.24381347367661e-06
1130.9999956545802128.69083957649778e-064.34541978824889e-06
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1160.9999936706314721.26587370564726e-056.32936852823632e-06
1170.9999927274913471.45450173061043e-057.27250865305217e-06
1180.9999963971294737.20574105367126e-063.60287052683563e-06
1190.9999946310721331.07378557336627e-055.36892786683135e-06
1200.9999937709076741.2458184651775e-056.22909232588751e-06
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1220.9999960869000847.82619983150031e-063.91309991575016e-06
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1260.9999999337999231.32400154938915e-076.62000774694573e-08
1270.9999999051297771.89740445108821e-079.48702225544107e-08
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1290.9999998093289373.81342125831678e-071.90671062915839e-07
1300.9999997002711395.99457722772815e-072.99728861386407e-07
1310.9999995433926259.13214749828944e-074.56607374914472e-07
1320.9999997960295714.07940858613341e-072.03970429306671e-07
1330.9999997340820725.31835855497838e-072.65917927748919e-07
1340.9999999687967596.24064817851096e-083.12032408925548e-08
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1660.9999995165268499.66946301998834e-074.83473150999417e-07
1670.999999285205181.42958964015806e-067.14794820079031e-07
1680.9999989047351812.19052963882614e-061.09526481941307e-06
1690.9999986889031992.62219360244683e-061.31109680122342e-06
1700.9999999896785412.06429182946464e-081.03214591473232e-08
1710.9999999830856513.38286973146397e-081.69143486573199e-08
1720.999999976369324.72613592354016e-082.36306796177008e-08
1730.9999999603821167.9235767992026e-083.9617883996013e-08
1740.9999999816098383.67803239001395e-081.83901619500697e-08
1750.9999999991415121.71697616840562e-098.58488084202811e-10
1760.9999999985764082.84718466707734e-091.42359233353867e-09
1770.9999999986227012.75459809678694e-091.37729904839347e-09
1780.9999999977312044.53759134065642e-092.26879567032821e-09
1790.9999999959950448.00991202300463e-094.00495601150231e-09
1800.9999999986040672.79186538151724e-091.39593269075862e-09
1810.9999999983937033.21259401658201e-091.606297008291e-09
1820.9999999998765772.46846994428531e-101.23423497214265e-10
1830.9999999997742494.51502939503056e-102.25751469751528e-10
1840.9999999997766964.46608475943909e-102.23304237971955e-10
1850.9999999998385283.22943831704623e-101.61471915852311e-10
1860.9999999997114715.77057490410853e-102.88528745205427e-10
1870.9999999994789121.04217504703671e-095.21087523518356e-10
1880.9999999991009961.79800791389921e-098.99003956949604e-10
1890.9999999987124372.57512620004459e-091.28756310002229e-09
1900.9999999978445444.31091152897776e-092.15545576448888e-09
1910.9999999992306211.53875773649805e-097.69378868249026e-10
1920.9999999986097292.78054263484188e-091.39027131742094e-09
1930.9999999978373944.3252111195751e-092.16260555978755e-09
1940.9999999968687626.26247630295692e-093.13123815147846e-09
1950.9999999951250959.74980935625924e-094.87490467812962e-09
1960.9999999922875581.54248843005574e-087.71244215027872e-09
1970.9999999902494271.9501145093663e-089.7505725468315e-09
1980.9999999846152883.07694240970271e-081.53847120485135e-08
1990.9999999893459442.13081117472249e-081.06540558736125e-08
2000.9999999808449663.83100674624103e-081.91550337312052e-08
2010.9999999665498276.69003450865489e-083.34501725432745e-08
2020.9999999494143951.01171209236266e-075.05856046181331e-08
2030.9999999277219951.44556010622085e-077.22780053110426e-08
2040.9999998861793752.27641249190614e-071.13820624595307e-07
2050.9999998849004242.30199152269461e-071.1509957613473e-07
2060.999999823885723.52228560427419e-071.7611428021371e-07
2070.9999997028583355.94283330052637e-072.97141665026319e-07
2080.999999962414887.51702407483045e-083.75851203741523e-08
2090.9999999770721964.58556069829514e-082.29278034914757e-08
2100.9999999663239366.73521271190602e-083.36760635595301e-08
2110.9999999540964919.1807018053438e-084.5903509026719e-08
2120.9999999798773754.02452503195285e-082.01226251597643e-08
2130.9999999624399357.51201306713102e-083.75600653356551e-08
2140.9999999318661431.36267714438718e-076.81338572193591e-08
2150.9999999416004421.16799116098136e-075.8399558049068e-08
2160.9999999143404581.71319084156922e-078.56595420784611e-08
2170.9999999530880769.38238485491666e-084.69119242745833e-08
2180.9999999137268831.7254623435464e-078.627311717732e-08
2190.9999998456382433.08723514985701e-071.54361757492851e-07
2200.9999998800156852.39968629499629e-071.19984314749814e-07
2210.9999997977620344.044759327616e-072.022379663808e-07
2220.9999996703910296.59217942598508e-073.29608971299254e-07
2230.999999907355491.85289019561453e-079.26445097807263e-08
2240.9999998437806663.12438668040834e-071.56219334020417e-07
2250.9999997212663535.57467293664981e-072.78733646832491e-07
2260.9999994788392061.04232158735169e-065.21160793675845e-07
2270.9999992458994431.50820111336164e-067.54100556680822e-07
2280.9999992769801291.44603974212544e-067.23019871062719e-07
2290.9999989088136072.18237278541392e-061.09118639270696e-06
2300.9999993976846791.2046306421473e-066.02315321073649e-07
2310.9999992685188031.46296239449538e-067.3148119724769e-07
2320.9999986316047512.73679049800011e-061.36839524900006e-06
2330.9999994557994961.08840100863049e-065.44200504315244e-07
2340.9999989828331922.03433361552287e-061.01716680776144e-06
2350.9999992625392191.47492156135447e-067.37460780677233e-07
2360.9999987336134462.53277310773816e-061.26638655386908e-06
2370.9999999754841334.90317330221625e-082.45158665110813e-08
2380.9999999650108546.99782911024172e-083.49891455512086e-08
2390.9999999543960199.12079628222319e-084.5603981411116e-08
2400.9999999736589295.2682142309867e-082.63410711549335e-08
2410.9999999498628491.00274301660371e-075.01371508301855e-08
2420.999999904157341.91685319362509e-079.58426596812547e-08
2430.9999999172623321.65475335910784e-078.27376679553922e-08
2440.9999998460109773.0797804554104e-071.5398902277052e-07
2450.9999996566966196.8660676208222e-073.4330338104111e-07
2460.9999992803842591.43923148206332e-067.19615741031659e-07
2470.9999990680099951.86398001011957e-069.31990005059786e-07
2480.9999989689623872.06207522596968e-061.03103761298484e-06
2490.9999977614920534.47701589346455e-062.23850794673228e-06
2500.9999970181693555.96366128971631e-062.98183064485815e-06
2510.9999968922707446.21545851267129e-063.10772925633564e-06
2520.9999940485989471.19028021063851e-055.95140105319253e-06
2530.9999871252929272.57494141451225e-051.28747070725612e-05
2540.9999725911931555.48176136895015e-052.74088068447508e-05
2550.9999609515870117.80968259780517e-053.90484129890259e-05
2560.9999337530427360.0001324939145274626.62469572637312e-05
2570.9999122466162620.0001755067674770018.77533837385005e-05
2580.9998324214230090.0003351571539819270.000167578576990964
2590.9997389507429450.0005220985141090680.000261049257054534
2600.9994815999739960.001036800052007610.000518400026003804
2610.9995256011737830.000948797652434190.000474398826217095
2620.9991531137377160.001693772524567720.000846886262283861
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2660.993648749730880.01270250053823990.00635125026911996
2670.9968164639141540.00636707217169210.00318353608584605
2680.9961739660174680.007652067965063810.0038260339825319
2690.9999789479965274.21040069453111e-052.10520034726555e-05
2700.9999798005103344.03989793315367e-052.01994896657684e-05
2710.999945527673190.0001089446536198465.44723268099228e-05
2720.999810871412110.0003782571757798410.000189128587889921
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2740.9982412549352740.003517490129451710.00175874506472585
2750.9942955276729110.01140894465417720.00570447232708858
2760.990537344787780.01892531042443970.00946265521221984
2770.9718259725647650.05634805487047080.0281740274352354






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2480.932330827067669NOK
5% type I error level2540.954887218045113NOK
10% type I error level2550.958646616541353NOK

\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 & 248 & 0.932330827067669 & NOK \tabularnewline
5% type I error level & 254 & 0.954887218045113 & NOK \tabularnewline
10% type I error level & 255 & 0.958646616541353 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=202220&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]248[/C][C]0.932330827067669[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]254[/C][C]0.954887218045113[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]255[/C][C]0.958646616541353[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=202220&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=202220&T=6

As an alternative you can also use a QR Code:  
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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 level2480.932330827067669NOK
5% type I error level2540.954887218045113NOK
10% type I error level2550.958646616541353NOK


Figures (Output of Computation)

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Figure 10
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Input Parameters & R Code

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