FreeStatistics.org

Free Statistics

of Irreproducible Research!

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, 14 Dec 2011 09:14:26 -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/2011/Dec/14/t1323873319k3bxzcadb25vycz.htm/, Retrieved Wed, 01 May 2024 22:14:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=155003, Retrieved Wed, 01 May 2024 22:14:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact81

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [] [2010-12-05 18:56:24] [b98453cac15ba1066b407e146608df68]
- R PD    [Multiple Regression] [] [2011-12-14 14:14:26] [38f0c551da22b29428835e369961555f] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1418	210907	56	396	81	3	79	30	115	94
869	120982	56	297	55	4	58	28	109	103
1530	176508	54	559	50	12	60	38	146	93
2172	179321	89	967	125	2	108	30	116	103
901	123185	40	270	40	1	49	22	68	51
463	52746	25	143	37	3	0	26	101	70
3201	385534	92	1562	63	0	121	25	96	91
371	33170	18	109	44	0	1	18	67	22
1192	101645	63	371	88	0	20	11	44	38
1583	149061	44	656	66	5	43	26	100	93
1439	165446	33	511	57	0	69	25	93	60
1764	237213	84	655	74	0	78	38	140	123
1495	173326	88	465	49	7	86	44	166	148
1373	133131	55	525	52	7	44	30	99	90
2187	258873	60	885	88	3	104	40	139	124
1491	180083	66	497	36	9	63	34	130	70
4041	324799	154	1436	108	0	158	47	181	168
1706	230964	53	612	43	4	102	30	116	115
2152	236785	119	865	75	3	77	31	116	71
1036	135473	41	385	32	0	82	23	88	66
1882	202925	61	567	44	7	115	36	139	134
1929	215147	58	639	85	0	101	36	135	117
2242	344297	75	963	86	1	80	30	108	108
1220	153935	33	398	56	5	50	25	89	84
1289	132943	40	410	50	7	83	39	156	156
2515	174724	92	966	135	0	123	34	129	120
2147	174415	100	801	63	0	73	31	118	114
2352	225548	112	892	81	5	81	31	118	94
1638	223632	73	513	52	0	105	33	125	120
1222	124817	40	469	44	0	47	25	95	81
1812	221698	45	683	113	0	105	33	126	110
1677	210767	60	643	39	3	94	35	135	133
1579	170266	62	535	73	4	44	42	154	122
1731	260561	75	625	48	1	114	43	165	158
807	84853	31	264	33	4	38	30	113	109
2452	294424	77	992	59	2	107	33	127	124
829	101011	34	238	41	0	30	13	52	39
1940	215641	46	818	69	0	71	32	121	92
2662	325107	99	937	64	0	84	36	136	126
186	7176	17	70	1	0	0	0	0	0
1499	167542	66	507	59	2	59	28	108	70
865	106408	30	260	32	1	33	14	46	37
1793	96560	76	503	129	0	42	17	54	38
2527	265769	146	927	37	2	96	32	124	120
2747	269651	67	1269	31	10	106	30	115	93
1324	149112	56	537	65	6	56	35	128	95
2702	175824	107	910	107	0	57	20	80	77
1383	152871	58	532	74	5	59	28	97	90
1179	111665	34	345	54	4	39	28	104	80
2099	116408	61	918	76	1	34	39	59	31
4308	362301	119	1635	715	2	76	34	125	110
918	78800	42	330	57	2	20	26	82	66
1831	183167	66	557	66	0	91	39	149	138
3373	277965	89	1178	106	8	115	39	149	133
1713	150629	44	740	54	3	85	33	122	113
1438	168809	66	452	32	0	76	28	118	100
496	24188	24	218	20	0	8	4	12	7
2253	329267	259	764	71	8	79	39	144	140
744	65029	17	255	21	5	21	18	67	61
1161	101097	64	454	70	3	30	14	52	41
2352	218946	41	866	112	1	76	29	108	96
2144	244052	68	574	66	5	101	44	166	164
4691	341570	168	1276	190	1	94	21	80	78
1112	103597	43	379	66	1	27	16	60	49
2694	233328	132	825	165	5	92	28	107	102
1973	256462	105	798	56	0	123	35	127	124
1769	206161	71	663	61	12	75	28	107	99
3148	311473	112	1069	53	8	128	38	146	129
2474	235800	94	921	127	8	105	23	84	62
2084	177939	82	858	63	8	55	36	141	73
1954	207176	70	711	38	8	56	32	123	114
1226	196553	57	503	50	2	41	29	111	99
1389	174184	53	382	52	0	72	25	98	70
1496	143246	103	464	42	5	67	27	105	104
2269	187559	121	717	76	8	75	36	135	116
1833	187681	62	690	67	2	114	28	107	91
1268	119016	52	462	50	5	118	23	85	74
1943	182192	52	657	53	12	77	40	155	138
893	73566	32	385	39	6	22	23	88	67
1762	194979	62	577	50	7	66	40	155	151
1403	167488	45	619	77	2	69	28	104	72
1425	143756	46	479	57	0	105	34	132	120
1857	275541	63	817	73	4	116	33	127	115
1840	243199	75	752	34	3	88	28	108	105
1502	182999	88	430	39	6	73	34	129	104
1441	135649	46	451	46	2	99	30	116	108
1420	152299	53	537	63	0	62	33	122	98
1416	120221	37	519	35	1	53	22	85	69
2970	346485	90	1000	106	0	118	38	147	111
1317	145790	63	637	43	5	30	26	99	99
1644	193339	78	465	47	2	100	35	87	71
870	80953	25	437	31	0	49	8	28	27
1654	122774	45	711	162	0	24	24	90	69
1054	130585	46	299	57	5	67	29	109	107
937	112611	41	248	36	0	46	20	78	73
3004	286468	144	1162	263	1	57	29	111	107
2008	241066	82	714	78	0	75	45	158	93
2547	148446	91	905	63	1	135	37	141	129
1885	204713	71	649	54	1	68	33	122	69
1626	182079	63	512	63	2	124	33	124	118
1468	140344	53	472	77	6	33	25	93	73
2445	220516	62	905	79	1	98	32	124	119
1964	243060	63	786	110	4	58	29	112	104
1381	162765	32	489	56	2	68	28	108	107
1369	182613	39	479	56	3	81	28	99	99
1659	232138	62	617	43	0	131	31	117	90
2888	265318	117	925	111	10	110	52	199	197
1290	85574	34	351	71	0	37	21	78	36
2845	310839	92	1144	62	9	130	24	91	85
1982	225060	93	669	56	7	93	41	158	139
1904	232317	54	707	74	0	118	33	126	106
1391	144966	144	458	60	0	39	32	122	50
602	43287	14	214	43	4	13	19	71	64
1743	155754	61	599	68	4	74	20	75	31
1559	164709	109	572	53	0	81	31	115	63
2014	201940	38	897	87	0	109	31	119	92
2143	235454	73	819	46	0	151	32	124	106
2146	220801	75	720	105	1	51	18	72	63
874	99466	50	273	32	0	28	23	91	69
1590	92661	61	508	133	1	40	17	45	41
1590	133328	55	506	79	0	56	20	78	56
1210	61361	77	451	51	0	27	12	39	25
2072	125930	75	699	207	4	37	17	68	65
1281	100750	72	407	67	0	83	30	119	93
1401	224549	50	465	47	4	54	31	117	114
834	82316	32	245	34	4	27	10	39	38
1105	102010	53	370	66	3	28	13	50	44
1272	101523	42	316	76	0	59	22	88	87
1944	243511	71	603	65	0	133	42	155	110
391	22938	10	154	9	0	12	1	0	0
761	41566	35	229	42	5	0	9	36	27
1605	152474	65	577	45	0	106	32	123	83
530	61857	25	192	25	4	23	11	32	30
1988	99923	66	617	115	0	44	25	99	80
1386	132487	41	411	97	0	71	36	136	98
2395	317394	86	975	53	1	116	31	117	82
387	21054	16	146	2	0	4	0	0	0
1742	209641	42	705	52	5	62	24	88	60
620	22648	19	184	44	0	12	13	39	28
449	31414	19	200	22	0	18	8	25	9
800	46698	45	274	35	0	14	13	52	33
1684	131698	65	502	74	0	60	19	75	59
1050	91735	35	382	103	0	7	18	71	49
2699	244749	95	964	144	2	98	33	124	115
1606	184510	49	537	60	7	64	40	151	140
1502	79863	37	438	134	1	29	22	71	49
1204	128423	64	369	89	8	32	38	145	120
1138	97839	38	417	42	2	25	24	87	66
568	38214	34	276	52	0	16	8	27	21
1459	151101	32	514	98	2	48	35	131	124
2158	272458	65	822	99	0	100	43	162	152
1111	172494	52	389	52	0	46	43	165	139
1421	108043	62	466	29	1	45	14	54	38
2833	328107	65	1255	125	3	129	41	159	144
1955	250579	83	694	106	0	130	38	147	120
2922	351067	95	1024	95	3	136	45	170	160
1002	158015	29	400	40	0	59	31	119	114
1060	98866	18	397	140	0	25	13	49	39
956	85439	33	350	43	0	32	28	104	78
2186	229242	247	719	128	4	63	31	120	119
3604	351619	139	1277	142	4	95	40	150	141
1035	84207	29	356	73	11	14	30	112	101
1417	120445	118	457	72	0	36	16	59	56
3261	324598	110	1402	128	0	113	37	136	133
1587	131069	67	600	61	4	47	30	107	83
1424	204271	42	480	73	0	92	35	130	116
1701	165543	65	595	148	1	70	32	115	90
1249	141722	94	436	64	0	19	27	107	36
946	116048	64	230	45	0	50	20	75	50
1926	250047	81	651	58	0	41	18	71	61
3352	299775	95	1367	97	9	91	31	120	97
1641	195838	67	564	50	1	111	31	116	98
2035	173260	63	716	37	3	41	21	79	78
2312	254488	83	747	50	10	120	39	150	117
1369	104389	45	467	105	5	135	41	156	148
1577	136084	30	671	69	0	27	13	51	41
2201	199476	70	861	46	2	87	32	118	105
961	92499	32	319	57	0	25	18	71	55
1900	224330	83	612	52	1	131	39	144	132
1254	135781	31	433	98	2	45	14	47	44
1335	74408	67	434	61	4	29	7	28	21
1597	81240	66	503	89	0	58	17	68	50
207	14688	10	85	0	0	4	0	0	0
1645	181633	70	564	48	2	47	30	110	73
2429	271856	103	824	91	1	109	37	147	86
151	7199	5	74	0	0	7	0	0	0
474	46660	20	259	7	0	12	5	15	13
141	17547	5	69	3	0	0	1	4	4
1639	133368	36	535	54	1	37	16	64	57
872	95227	34	239	70	0	37	32	111	48
1318	152601	48	438	36	2	46	24	85	46
1018	98146	40	459	37	0	15	17	68	48
1383	79619	43	426	123	3	42	11	40	32
1314	59194	31	288	247	6	7	24	80	68
1335	139942	42	498	46	0	54	22	88	87
1403	118612	46	454	72	2	54	12	48	43
910	72880	33	376	41	0	14	19	76	67
616	65475	18	225	24	2	16	13	51	46
1407	99643	55	555	45	1	33	17	67	46
771	71965	35	252	33	1	32	15	59	56
766	77272	59	208	27	2	21	16	61	48
473	49289	19	130	36	1	15	24	76	44
1376	135131	66	481	87	0	38	15	60	60
1232	108446	60	389	90	1	22	17	68	65
1521	89746	36	565	114	3	28	18	71	55
572	44296	25	173	31	0	10	20	76	38
1059	77648	47	278	45	0	31	16	62	52
1544	181528	54	609	69	0	32	16	61	60
1230	134019	53	422	51	0	32	18	67	54
1206	124064	40	445	34	1	43	22	88	86
1205	92630	40	387	60	4	27	8	30	24
1255	121848	39	339	45	0	37	17	64	52
613	52915	14	181	54	0	20	18	68	49
721	81872	45	245	25	0	32	16	64	61
1109	58981	36	384	38	7	0	23	91	61
740	53515	28	212	52	2	5	22	88	81
1126	60812	44	399	67	0	26	13	52	43
728	56375	30	229	74	7	10	13	49	40
689	65490	22	224	38	3	27	16	62	40
592	80949	17	203	30	0	11	16	61	56
995	76302	31	333	26	0	29	20	76	68
1613	104011	55	384	67	6	25	22	88	79
2048	98104	54	636	132	2	55	17	66	47
705	67989	21	185	42	0	23	18	71	57
301	30989	14	93	35	0	5	17	68	41
1803	135458	81	581	118	3	43	12	48	29
799	73504	35	248	68	0	23	7	25	3
861	63123	43	304	43	1	34	17	68	60
1186	61254	46	344	76	1	36	14	41	30
1451	74914	30	407	64	0	35	23	90	79
628	31774	23	170	48	1	0	17	66	47
1161	81437	38	312	64	0	37	14	54	40
1463	87186	54	507	56	0	28	15	59	48
742	50090	20	224	71	0	16	17	60	36
979	65745	53	340	75	0	26	21	77	42
675	56653	45	168	39	0	38	18	68	49
1241	158399	39	443	42	0	23	18	72	57
676	46455	20	204	39	0	22	17	67	12
1049	73624	24	367	93	0	30	17	64	40
620	38395	31	210	38	0	16	16	63	43
1081	91899	35	335	60	0	18	15	59	33
1688	139526	151	364	71	0	28	21	84	77
736	52164	52	178	52	0	32	16	64	43
617	51567	30	206	27	2	21	14	56	45
812	70551	31	279	59	0	23	15	54	47
1051	84856	29	387	40	1	29	17	67	43
1656	102538	57	490	79	1	50	15	58	45
705	86678	40	238	44	0	12	15	59	50
945	85709	44	343	65	0	21	10	40	35
554	34662	25	232	10	0	18	6	22	7
1597	150580	77	530	124	0	27	22	83	71
982	99611	35	291	81	0	41	21	81	67
222	19349	11	67	15	0	13	1	2	0
1212	99373	63	397	92	1	12	18	72	62
1143	86230	44	467	42	0	21	17	61	54
435	30837	19	178	10	0	8	4	15	4
532	31706	13	175	24	0	26	10	32	25
882	89806	42	299	64	0	27	16	62	40
608	62088	38	154	45	1	13	16	58	38
459	40151	29	106	22	0	16	9	36	19
578	27634	20	189	56	0	2	16	59	17
826	76990	27	194	94	0	42	17	68	67
509	37460	20	135	19	0	5	7	21	14
717	54157	19	201	35	0	37	15	55	30
637	49862	37	207	32	0	17	14	54	54
857	84337	26	280	35	0	38	14	55	35
830	64175	42	260	48	0	37	18	72	59
652	59382	49	227	49	0	29	12	41	24
707	119308	30	239	48	0	32	16	61	58
954	76702	49	333	62	0	35	21	67	42
1461	103425	67	428	96	1	17	19	76	46
672	70344	28	230	45	0	20	16	64	61
778	43410	19	292	63	0	7	1	3	3
1141	104838	49	350	71	1	46	16	63	52
680	62215	27	186	26	0	24	10	40	25
1090	69304	30	326	48	6	40	19	69	40
616	53117	22	155	29	3	3	12	48	32
285	19764	12	75	19	1	10	2	8	4
1145	86680	31	361	45	2	37	14	52	49
733	84105	20	261	45	0	17	17	66	63
888	77945	20	299	67	0	28	19	76	67
849	89113	39	300	30	0	19	14	43	32
1182	91005	29	450	36	3	29	11	39	23
528	40248	16	183	34	1	8	4	14	7
642	64187	27	238	36	0	10	16	61	54
947	50857	21	165	34	0	15	20	71	37
819	56613	19	234	37	1	15	12	44	35
757	62792	35	176	46	0	28	15	60	51
894	72535	14	329	44	0	17	16	64	39

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time10 seconds
R Server'AstonUniversity' @ aston.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 & 10 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155003&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]10 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155003&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155003&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 time10 seconds
R Server'AstonUniversity' @ aston.wessa.net






Multiple Linear Regression - Estimated Regression Equation
feedback_messages_p120[t] = -5.84842334108647 + 0.000305982885666882pageviews[t] + 5.14265507015342e-05time_in_rfc[t] -0.0199770630046701logins[t] -0.0065258206669117compendium_views_info[t] + 0.016745667819523compendium_views_pr[t] + 0.734266988020635shared_compendiums[t] + 0.112679463982314blogged_computations[t] -0.881081511214306compendiums_reviewed[t] + 0.988987330724277feedback_messages_p1[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
feedback_messages_p120[t] =  -5.84842334108647 +  0.000305982885666882pageviews[t] +  5.14265507015342e-05time_in_rfc[t] -0.0199770630046701logins[t] -0.0065258206669117compendium_views_info[t] +  0.016745667819523compendium_views_pr[t] +  0.734266988020635shared_compendiums[t] +  0.112679463982314blogged_computations[t] -0.881081511214306compendiums_reviewed[t] +  0.988987330724277feedback_messages_p1[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155003&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]feedback_messages_p120[t] =  -5.84842334108647 +  0.000305982885666882pageviews[t] +  5.14265507015342e-05time_in_rfc[t] -0.0199770630046701logins[t] -0.0065258206669117compendium_views_info[t] +  0.016745667819523compendium_views_pr[t] +  0.734266988020635shared_compendiums[t] +  0.112679463982314blogged_computations[t] -0.881081511214306compendiums_reviewed[t] +  0.988987330724277feedback_messages_p1[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155003&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155003&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
feedback_messages_p120[t] = -5.84842334108647 + 0.000305982885666882pageviews[t] + 5.14265507015342e-05time_in_rfc[t] -0.0199770630046701logins[t] -0.0065258206669117compendium_views_info[t] + 0.016745667819523compendium_views_pr[t] + 0.734266988020635shared_compendiums[t] + 0.112679463982314blogged_computations[t] -0.881081511214306compendiums_reviewed[t] + 0.988987330724277feedback_messages_p1[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-5.848423341086472.054628-2.84650.0047490.002374
pageviews0.0003059828856668820.0047640.06420.948830.474415
time_in_rfc5.14265507015342e-052.7e-051.88740.0601440.030072
logins-0.01997706300467010.036242-0.55120.5819340.290967
compendium_views_info-0.00652582066691170.010739-0.60770.5438810.271941
compendium_views_pr0.0167456678195230.0192110.87170.3841470.192073
shared_compendiums0.7342669880206350.3085332.37990.0179910.008995
blogged_computations0.1126794639823140.0424222.65610.0083590.00418
compendiums_reviewed-0.8810815112143060.40401-2.18080.0300310.015015
feedback_messages_p10.9889873307242770.1090319.070700

\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) & -5.84842334108647 & 2.054628 & -2.8465 & 0.004749 & 0.002374 \tabularnewline
pageviews & 0.000305982885666882 & 0.004764 & 0.0642 & 0.94883 & 0.474415 \tabularnewline
time_in_rfc & 5.14265507015342e-05 & 2.7e-05 & 1.8874 & 0.060144 & 0.030072 \tabularnewline
logins & -0.0199770630046701 & 0.036242 & -0.5512 & 0.581934 & 0.290967 \tabularnewline
compendium_views_info & -0.0065258206669117 & 0.010739 & -0.6077 & 0.543881 & 0.271941 \tabularnewline
compendium_views_pr & 0.016745667819523 & 0.019211 & 0.8717 & 0.384147 & 0.192073 \tabularnewline
shared_compendiums & 0.734266988020635 & 0.308533 & 2.3799 & 0.017991 & 0.008995 \tabularnewline
blogged_computations & 0.112679463982314 & 0.042422 & 2.6561 & 0.008359 & 0.00418 \tabularnewline
compendiums_reviewed & -0.881081511214306 & 0.40401 & -2.1808 & 0.030031 & 0.015015 \tabularnewline
feedback_messages_p1 & 0.988987330724277 & 0.109031 & 9.0707 & 0 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155003&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]-5.84842334108647[/C][C]2.054628[/C][C]-2.8465[/C][C]0.004749[/C][C]0.002374[/C][/ROW]
[ROW][C]pageviews[/C][C]0.000305982885666882[/C][C]0.004764[/C][C]0.0642[/C][C]0.94883[/C][C]0.474415[/C][/ROW]
[ROW][C]time_in_rfc[/C][C]5.14265507015342e-05[/C][C]2.7e-05[/C][C]1.8874[/C][C]0.060144[/C][C]0.030072[/C][/ROW]
[ROW][C]logins[/C][C]-0.0199770630046701[/C][C]0.036242[/C][C]-0.5512[/C][C]0.581934[/C][C]0.290967[/C][/ROW]
[ROW][C]compendium_views_info[/C][C]-0.0065258206669117[/C][C]0.010739[/C][C]-0.6077[/C][C]0.543881[/C][C]0.271941[/C][/ROW]
[ROW][C]compendium_views_pr[/C][C]0.016745667819523[/C][C]0.019211[/C][C]0.8717[/C][C]0.384147[/C][C]0.192073[/C][/ROW]
[ROW][C]shared_compendiums[/C][C]0.734266988020635[/C][C]0.308533[/C][C]2.3799[/C][C]0.017991[/C][C]0.008995[/C][/ROW]
[ROW][C]blogged_computations[/C][C]0.112679463982314[/C][C]0.042422[/C][C]2.6561[/C][C]0.008359[/C][C]0.00418[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]-0.881081511214306[/C][C]0.40401[/C][C]-2.1808[/C][C]0.030031[/C][C]0.015015[/C][/ROW]
[ROW][C]feedback_messages_p1[/C][C]0.988987330724277[/C][C]0.109031[/C][C]9.0707[/C][C]0[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155003&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155003&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)-5.848423341086472.054628-2.84650.0047490.002374
pageviews0.0003059828856668820.0047640.06420.948830.474415
time_in_rfc5.14265507015342e-052.7e-051.88740.0601440.030072
logins-0.01997706300467010.036242-0.55120.5819340.290967
compendium_views_info-0.00652582066691170.010739-0.60770.5438810.271941
compendium_views_pr0.0167456678195230.0192110.87170.3841470.192073
shared_compendiums0.7342669880206350.3085332.37990.0179910.008995
blogged_computations0.1126794639823140.0424222.65610.0083590.00418
compendiums_reviewed-0.8810815112143060.40401-2.18080.0300310.015015
feedback_messages_p10.9889873307242770.1090319.070700






Multiple Linear Regression - Regression Statistics
Multiple R0.94623890492905
R-squared0.895368065201329
Adjusted R-squared0.891992841498146
F-TEST (value)265.276658361036
F-TEST (DF numerator)9
F-TEST (DF denominator)279
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation12.8055392177049
Sum Squared Residuals45750.931869074

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.94623890492905 \tabularnewline
R-squared & 0.895368065201329 \tabularnewline
Adjusted R-squared & 0.891992841498146 \tabularnewline
F-TEST (value) & 265.276658361036 \tabularnewline
F-TEST (DF numerator) & 9 \tabularnewline
F-TEST (DF denominator) & 279 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 12.8055392177049 \tabularnewline
Sum Squared Residuals & 45750.931869074 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155003&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.94623890492905[/C][/ROW]
[ROW][C]R-squared[/C][C]0.895368065201329[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.891992841498146[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]265.276658361036[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]9[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]279[/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]12.8055392177049[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]45750.931869074[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155003&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155003&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 R0.94623890492905
R-squared0.895368065201329
Adjusted R-squared0.891992841498146
F-TEST (value)265.276658361036
F-TEST (DF numerator)9
F-TEST (DF denominator)279
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation12.8055392177049
Sum Squared Residuals45750.931869074






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
194101.490714816148-7.49071481614782
210391.10510380527311.894896194727
393126.290540875918-33.2905408759179
410399.9708143837713.02918561622893
55152.993925465286-1.99392546528597
67075.3751644327596-5.37516443275961
79190.53142817961570.46857182038431
82246.1521862141988-24.1521862141988
93833.61467954424264.3853204557574
109382.75409125963310.245908740367
116077.7844357563008-17.7844357563008
12123115.9431974960947.05680250390614
13148139.7852421939358.21475780606466
149079.339205430250310.6607945697497
15124118.7807941275715.21920587242893
1670112.228660419108-42.2286604191078
17168156.85156282853211.1484371714675
18115104.93920075279810.0607992472021
197198.509030555834-27.5090305558341
206674.6455712542827-8.64557125428271
21134124.8295493145539.17045068544732
22117115.0757795596561.92422044034396
2310896.32789030875611.6721096912439
248475.4206023482988.579397651702
25156133.15751200811422.8424879918864
26120109.5075772080810.4924227919202
2711495.220751221545218.7792487784548
2894101.953689766097-7.95368976609657
29120108.59717232587511.4028276741245
308175.04420594081995.95579405918009
31110110.011395717396-0.0113957173956879
32133116.2321916794216.7678083205798
33122123.077048332709-1.07704833270903
34158142.18399139380715.8160086061926
3510989.514714001983419.4852859980166
36124113.07014166079310.929858339207
373941.4077561751066-2.40775617510657
3892100.206341754259-8.20634175425935
39126116.9129518068749.08704819312563
400-6.202145446461916.20214544646191
417089.8442410823032-19.8442410823032
423735.73924972450531.26075027549472
433840.1848659292863-2.1848659292863
44120106.97146428609913.0285357139009
4593106.346509283036-13.3465092830355
4695105.15857836096-10.1585783609597
477765.656193855479611.3438061445204
489080.62606447297599.37393552702411
498083.7444811839296-3.74448118392957
503123.39710552756027.60289447243984
51110116.726625077031-6.72662507703092
526658.35779182617887.64220817382124
53138123.53408870417814.4659112958221
54133133.617311136542-0.617311136542238
55113100.97954312506512.0204568749353
56100100.13441089047-0.134410890470209
5773.225042153157253.77495784684275
58140125.63098852332514.369011476675
596152.51169741488878.4883025851113
604141.312219841929-0.312219841929049
619692.09315463463333.90684536536673
62164143.81558045567520.1844195443248
637876.59370375344531.40629624655472
644946.6109285145012.38907148549904
6510296.90661729836355.09338270163649
66124110.19991000786613.8000899921344
679998.98503039275230.0149696072476508
68129134.014940008137-5.01494000813699
696281.7890746751082-19.7890746751082
7073117.557523423561-44.5575234235608
71114105.6369159656918.36308403430862
729991.36547938552927.63452061447082
737083.8600381244564-13.8600381244564
7410488.869002457336115.1309975426639
75116114.7872479089651.21275209103526
769195.2101502715271-4.21015027152713
777478.2102523265038-4.21025232650377
78138135.2141548677862.7858451322144
796769.3599995583161-2.35999955831615
80151131.17761224523919.8223877547605
817286.9729834376227-14.9729834376227
82120111.3110675541478.68893244585298
83115116.055780287055-1.05578028705452
8410595.64406991032589.35593008967417
85104110.364963999772-6.36496399977172
8610899.39055481185538.60944518814471
879897.47700288229750.522997117702503
886968.61385433722240.386145662777576
89111131.526375640941-20.5263756409408
909979.4099392379419.5900607620599
917168.73222452685722.26777547314276
922721.91310772993185.08689227006823
936968.71269817663220.287301823367796
9410792.743070782507214.2569292174928
957363.09749577214519.90250422785494
9610795.13044664292711.869553357073
9793127.234080180579-34.2340801805791
98129118.68936979262410.3106302073763
9969100.483909865363-31.4839098653634
100118109.4675283276568.53247167234406
1017377.0414203113424-4.04142031134236
102119106.63521932600612.3647806739938
10310497.39413198549986.60586801450019
10410791.323033555638715.6769664443613
1059985.563708748243413.4362912517566
10690105.211313980233-15.2113139802331
107197172.89436460052524.1056353994754
1083659.973669678437-23.9736696784371
1098592.8509023642362-7.85090236423616
110139136.8009261126372.19907388736349
111106111.060983408537-5.06098340853741
1125094.0278624177424-44.0278624177424
1136453.485191419961810.5148085800382
1143166.5337016623687-35.5337016623687
1156393.6233235908352-30.6233235908352
11692102.655014489833-10.6550144898334
117106112.337632758215-6.33763275821513
1186363.5532145299364-0.55321452993643
1196970.1776555004745-1.1776555004745
1204131.86427087886179.13572912113827
1215664.2462241893032-8.24622418930324
1222525.0899239060238-0.0899239060238171
1236558.0472045130156.95279548698496
1249397.361810445063-4.36181044506299
125114100.30147569660613.6985243033938
1263832.71035922513695.28964077486306
1274440.72071912071723.27928087928281
1288772.428419605675414.5715803943246
129110134.278346750231-24.2783467502308
1300-5.132125758600875.13212575860087
1312726.37687879714810.623121202851864
13283103.568395016195-20.5683950161951
1333023.64549087088136.35450912911869
1348077.32000452738872.6799954726113
13598110.295760779975-12.2957607799745
13682106.216777786309-24.2167777863086
1370-5.435466999738815.43546699973881
1386077.4391374132116-17.4391374132116
1392823.13108857282254.86891142717753
140914.2924145299485-5.29241452994852
1413336.2477297554755-3.24772975547546
1425962.2986029914065-3.29860299140649
1434952.8706059303985-3.87060593039851
144115107.8565459686897.14345403131068
145140127.09837742885212.9016225711482
1464952.2009789546145-3.20097895461447
147120118.3300808320241.66991916797649
1486665.9356919924980.0643080075019415
1492116.13789449042764.86210550957241
150124105.61278221359718.3872177864028
151152137.41593930119814.5840606988018
152139131.1353782230217.8646217769794
1533843.2236887559232-5.22368875592324
154144142.3597273333531.64027266664735
155120129.772582373303-9.77258237330305
156160152.1167869046017.88321309539895
15711497.088555421837516.9114445781625
1583938.7776175945250.222382405475027
1597878.404855695424-0.404855695424039
160119100.52745346437618.4725465356236
161141131.3509475815289.6490524184717
16210191.10723633544139.89276366455872
1635644.954728947492511.0452710525075
164133117.27415082263915.7258491773613
1658384.767329998217-1.76732999821702
166116110.4402631989965.55973680100412
1679094.643109616607-4.64310961660705
1683682.3439973092466-46.3439973092466
1695060.5694618699064-10.5694618699064
1706161.68324309881-0.683243098810043
17197109.626524423449-12.6265244234492
17298101.193915730535-3.19391573053514
1737864.822909527367113.1770904726329
174117137.100974478281-20.1009744782806
175148134.79134667588213.2086533241178
1764139.83639566586161.16360433413835
17710598.61412634227536.38587365772475
1785554.61165086132320.388349138676828
179132125.0356119662756.96438803372487
1804440.40050706502673.59949293497333
1812122.9662740314662-1.96627403146616
1825054.5156764980708-4.51567649807077
1830-5.333479237854245.33347923785424
1847388.8411418047306-15.8411418047306
18586128.761817771907-42.7618177719073
1860-5.226039983349045.22603998334904
187136.505222236946746.49477776305326
1884-2.327960194946516.32796019494651
1895752.30680870206324.69319129793679
1904884.0010208635686-36.0010208635686
1914668.7579968926466-22.7579968926466
1924850.2984777430406-2.29847774304062
1933233.8929204155252-1.89292041552522
1946862.40262442391215.59737557608789
1958772.169986462999414.8300135370006
1964342.45633605260730.543663947392686
1976755.751609748411411.2483902515886
1984638.53691438810717.4630856118929
1994651.4758312544059-5.47583125440586
2005645.771343889790110.2286561102099
2014846.34163330469911.65836669530086
2024452.6475327927345-8.64753279273454
2036048.926234340215911.0737656597841
2046553.361461369721111.6385386302789
2055556.451506268858-1.451506268858
2063854.163513061885-16.163513061885
2075247.18220999789314.8177900021069
2086049.89850386346310.101496136537
2095452.46984570896721.53015429103276
2108670.99363139044615.006368609554
2112425.5644736901339-1.56447369013387
2125251.04994756197550.950052438024508
2134950.1490543047165-1.14905430471647
2146149.307060509758811.6929394902412
2156169.8081882930496-8.80818829304958
2168165.737061989173315.2629380108267
2174338.16557893045754.83442106954248
2184039.6919417069310.308058293068981
2194048.9304366512931-8.93043665129307
2205644.804061846647511.1959381533525
2216856.832089796107811.1679102038922
2227972.38104054577196.6189594542281
2234754.7653073767792-7.76530737677925
2245753.89051820205793.10948179794208
2254148.3730031753035-7.37300317530346
2262942.1821780540441-13.1821780540441
227318.145959209697-15.145959209697
2286052.37654816973017.62345183026987
2293028.77746493871651.22253506128345
2307968.952294530784110.0477054692159
2314746.24173635113730.758263648862684
2324042.2106999663055-2.21069996630548
2334843.92236462364764.07763537635243
2343642.4459147869532-6.44591478695317
2354256.3895129941296-14.3895129941296
2364951.602849740064-2.60284974006404
2375757.6497379422781-0.649737942278063
2381249.4324275467764-37.4324275467764
2394048.6388898803548-8.63888988035476
2404344.9742016260756-1.97420162607564
2413344.4900458780317-11.4900458780316
2427765.367672898670211.6323271013298
2434348.5333938595801-5.53339385958014
2444542.38373520622832.61626479377168
2454739.35695168524737.6430483147527
2464351.6877522570206-8.68775225702058
2474547.431305714031-2.43130571403101
2485043.6956101124696.30438988753098
2493529.93451672771595.06548327228405
250712.7571405466744-5.75714054667443
2517165.20808606768145.79191393231863
2526764.55801014515642.44198985484356
2530-2.629509289381712.62950928938171
2546254.75817537064227.24182462935784
2555443.428705816157110.5712941838429
25646.70873578842349-2.70873578842349
2572520.71151089710344.28848910289658
2584047.5835879442192-7.5835879442192
2593841.9830972307224-3.98309723072242
2601924.9308648437156-5.93086484371561
2611739.5326993619368-22.5326993619368
2626755.137641811378511.8623581886215
2631410.43596186206323.56403813793685
2643041.3981390057913-11.3981390057913
2655438.342309178974515.6576908210255
2663543.3314116114348-8.33141161143483
2675955.4906441586683.50935584133202
2682429.0083961592765-5.00839615927647
2695848.98498033816989.01501966183018
2704247.9774813216559-5.97748132165594
2714658.4657846027954-12.4657846027953
2726148.119479241559612.8805207584404
2733-1.73343212044634.7334321204463
2745251.94460893585270.0553910641472733
2752529.6943371436025-4.69433714360245
2764056.538583896213-16.538583896213
2773235.5455660835923-3.54556608359231
27842.854979763099611.14502023690039
2794941.46789949983877.53210050016125
2806349.562195783439513.4378042165605
2816758.78044347370298.2195565262971
2823229.09187259864822.90812740135182
2832330.6293262850605-7.62932628506049
28477.395645236087-0.395645236087006
2855443.51696933761810.4830306623821
2863750.4164787302656-13.4164787302655
2873531.39349479836883.60650520163119
2885145.81298291891915.18701708108093
2893947.5789215910394-8.57892159103938

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 94 & 101.490714816148 & -7.49071481614782 \tabularnewline
2 & 103 & 91.105103805273 & 11.894896194727 \tabularnewline
3 & 93 & 126.290540875918 & -33.2905408759179 \tabularnewline
4 & 103 & 99.970814383771 & 3.02918561622893 \tabularnewline
5 & 51 & 52.993925465286 & -1.99392546528597 \tabularnewline
6 & 70 & 75.3751644327596 & -5.37516443275961 \tabularnewline
7 & 91 & 90.5314281796157 & 0.46857182038431 \tabularnewline
8 & 22 & 46.1521862141988 & -24.1521862141988 \tabularnewline
9 & 38 & 33.6146795442426 & 4.3853204557574 \tabularnewline
10 & 93 & 82.754091259633 & 10.245908740367 \tabularnewline
11 & 60 & 77.7844357563008 & -17.7844357563008 \tabularnewline
12 & 123 & 115.943197496094 & 7.05680250390614 \tabularnewline
13 & 148 & 139.785242193935 & 8.21475780606466 \tabularnewline
14 & 90 & 79.3392054302503 & 10.6607945697497 \tabularnewline
15 & 124 & 118.780794127571 & 5.21920587242893 \tabularnewline
16 & 70 & 112.228660419108 & -42.2286604191078 \tabularnewline
17 & 168 & 156.851562828532 & 11.1484371714675 \tabularnewline
18 & 115 & 104.939200752798 & 10.0607992472021 \tabularnewline
19 & 71 & 98.509030555834 & -27.5090305558341 \tabularnewline
20 & 66 & 74.6455712542827 & -8.64557125428271 \tabularnewline
21 & 134 & 124.829549314553 & 9.17045068544732 \tabularnewline
22 & 117 & 115.075779559656 & 1.92422044034396 \tabularnewline
23 & 108 & 96.327890308756 & 11.6721096912439 \tabularnewline
24 & 84 & 75.420602348298 & 8.579397651702 \tabularnewline
25 & 156 & 133.157512008114 & 22.8424879918864 \tabularnewline
26 & 120 & 109.50757720808 & 10.4924227919202 \tabularnewline
27 & 114 & 95.2207512215452 & 18.7792487784548 \tabularnewline
28 & 94 & 101.953689766097 & -7.95368976609657 \tabularnewline
29 & 120 & 108.597172325875 & 11.4028276741245 \tabularnewline
30 & 81 & 75.0442059408199 & 5.95579405918009 \tabularnewline
31 & 110 & 110.011395717396 & -0.0113957173956879 \tabularnewline
32 & 133 & 116.23219167942 & 16.7678083205798 \tabularnewline
33 & 122 & 123.077048332709 & -1.07704833270903 \tabularnewline
34 & 158 & 142.183991393807 & 15.8160086061926 \tabularnewline
35 & 109 & 89.5147140019834 & 19.4852859980166 \tabularnewline
36 & 124 & 113.070141660793 & 10.929858339207 \tabularnewline
37 & 39 & 41.4077561751066 & -2.40775617510657 \tabularnewline
38 & 92 & 100.206341754259 & -8.20634175425935 \tabularnewline
39 & 126 & 116.912951806874 & 9.08704819312563 \tabularnewline
40 & 0 & -6.20214544646191 & 6.20214544646191 \tabularnewline
41 & 70 & 89.8442410823032 & -19.8442410823032 \tabularnewline
42 & 37 & 35.7392497245053 & 1.26075027549472 \tabularnewline
43 & 38 & 40.1848659292863 & -2.1848659292863 \tabularnewline
44 & 120 & 106.971464286099 & 13.0285357139009 \tabularnewline
45 & 93 & 106.346509283036 & -13.3465092830355 \tabularnewline
46 & 95 & 105.15857836096 & -10.1585783609597 \tabularnewline
47 & 77 & 65.6561938554796 & 11.3438061445204 \tabularnewline
48 & 90 & 80.6260644729759 & 9.37393552702411 \tabularnewline
49 & 80 & 83.7444811839296 & -3.74448118392957 \tabularnewline
50 & 31 & 23.3971055275602 & 7.60289447243984 \tabularnewline
51 & 110 & 116.726625077031 & -6.72662507703092 \tabularnewline
52 & 66 & 58.3577918261788 & 7.64220817382124 \tabularnewline
53 & 138 & 123.534088704178 & 14.4659112958221 \tabularnewline
54 & 133 & 133.617311136542 & -0.617311136542238 \tabularnewline
55 & 113 & 100.979543125065 & 12.0204568749353 \tabularnewline
56 & 100 & 100.13441089047 & -0.134410890470209 \tabularnewline
57 & 7 & 3.22504215315725 & 3.77495784684275 \tabularnewline
58 & 140 & 125.630988523325 & 14.369011476675 \tabularnewline
59 & 61 & 52.5116974148887 & 8.4883025851113 \tabularnewline
60 & 41 & 41.312219841929 & -0.312219841929049 \tabularnewline
61 & 96 & 92.0931546346333 & 3.90684536536673 \tabularnewline
62 & 164 & 143.815580455675 & 20.1844195443248 \tabularnewline
63 & 78 & 76.5937037534453 & 1.40629624655472 \tabularnewline
64 & 49 & 46.610928514501 & 2.38907148549904 \tabularnewline
65 & 102 & 96.9066172983635 & 5.09338270163649 \tabularnewline
66 & 124 & 110.199910007866 & 13.8000899921344 \tabularnewline
67 & 99 & 98.9850303927523 & 0.0149696072476508 \tabularnewline
68 & 129 & 134.014940008137 & -5.01494000813699 \tabularnewline
69 & 62 & 81.7890746751082 & -19.7890746751082 \tabularnewline
70 & 73 & 117.557523423561 & -44.5575234235608 \tabularnewline
71 & 114 & 105.636915965691 & 8.36308403430862 \tabularnewline
72 & 99 & 91.3654793855292 & 7.63452061447082 \tabularnewline
73 & 70 & 83.8600381244564 & -13.8600381244564 \tabularnewline
74 & 104 & 88.8690024573361 & 15.1309975426639 \tabularnewline
75 & 116 & 114.787247908965 & 1.21275209103526 \tabularnewline
76 & 91 & 95.2101502715271 & -4.21015027152713 \tabularnewline
77 & 74 & 78.2102523265038 & -4.21025232650377 \tabularnewline
78 & 138 & 135.214154867786 & 2.7858451322144 \tabularnewline
79 & 67 & 69.3599995583161 & -2.35999955831615 \tabularnewline
80 & 151 & 131.177612245239 & 19.8223877547605 \tabularnewline
81 & 72 & 86.9729834376227 & -14.9729834376227 \tabularnewline
82 & 120 & 111.311067554147 & 8.68893244585298 \tabularnewline
83 & 115 & 116.055780287055 & -1.05578028705452 \tabularnewline
84 & 105 & 95.6440699103258 & 9.35593008967417 \tabularnewline
85 & 104 & 110.364963999772 & -6.36496399977172 \tabularnewline
86 & 108 & 99.3905548118553 & 8.60944518814471 \tabularnewline
87 & 98 & 97.4770028822975 & 0.522997117702503 \tabularnewline
88 & 69 & 68.6138543372224 & 0.386145662777576 \tabularnewline
89 & 111 & 131.526375640941 & -20.5263756409408 \tabularnewline
90 & 99 & 79.40993923794 & 19.5900607620599 \tabularnewline
91 & 71 & 68.7322245268572 & 2.26777547314276 \tabularnewline
92 & 27 & 21.9131077299318 & 5.08689227006823 \tabularnewline
93 & 69 & 68.7126981766322 & 0.287301823367796 \tabularnewline
94 & 107 & 92.7430707825072 & 14.2569292174928 \tabularnewline
95 & 73 & 63.0974957721451 & 9.90250422785494 \tabularnewline
96 & 107 & 95.130446642927 & 11.869553357073 \tabularnewline
97 & 93 & 127.234080180579 & -34.2340801805791 \tabularnewline
98 & 129 & 118.689369792624 & 10.3106302073763 \tabularnewline
99 & 69 & 100.483909865363 & -31.4839098653634 \tabularnewline
100 & 118 & 109.467528327656 & 8.53247167234406 \tabularnewline
101 & 73 & 77.0414203113424 & -4.04142031134236 \tabularnewline
102 & 119 & 106.635219326006 & 12.3647806739938 \tabularnewline
103 & 104 & 97.3941319854998 & 6.60586801450019 \tabularnewline
104 & 107 & 91.3230335556387 & 15.6769664443613 \tabularnewline
105 & 99 & 85.5637087482434 & 13.4362912517566 \tabularnewline
106 & 90 & 105.211313980233 & -15.2113139802331 \tabularnewline
107 & 197 & 172.894364600525 & 24.1056353994754 \tabularnewline
108 & 36 & 59.973669678437 & -23.9736696784371 \tabularnewline
109 & 85 & 92.8509023642362 & -7.85090236423616 \tabularnewline
110 & 139 & 136.800926112637 & 2.19907388736349 \tabularnewline
111 & 106 & 111.060983408537 & -5.06098340853741 \tabularnewline
112 & 50 & 94.0278624177424 & -44.0278624177424 \tabularnewline
113 & 64 & 53.4851914199618 & 10.5148085800382 \tabularnewline
114 & 31 & 66.5337016623687 & -35.5337016623687 \tabularnewline
115 & 63 & 93.6233235908352 & -30.6233235908352 \tabularnewline
116 & 92 & 102.655014489833 & -10.6550144898334 \tabularnewline
117 & 106 & 112.337632758215 & -6.33763275821513 \tabularnewline
118 & 63 & 63.5532145299364 & -0.55321452993643 \tabularnewline
119 & 69 & 70.1776555004745 & -1.1776555004745 \tabularnewline
120 & 41 & 31.8642708788617 & 9.13572912113827 \tabularnewline
121 & 56 & 64.2462241893032 & -8.24622418930324 \tabularnewline
122 & 25 & 25.0899239060238 & -0.0899239060238171 \tabularnewline
123 & 65 & 58.047204513015 & 6.95279548698496 \tabularnewline
124 & 93 & 97.361810445063 & -4.36181044506299 \tabularnewline
125 & 114 & 100.301475696606 & 13.6985243033938 \tabularnewline
126 & 38 & 32.7103592251369 & 5.28964077486306 \tabularnewline
127 & 44 & 40.7207191207172 & 3.27928087928281 \tabularnewline
128 & 87 & 72.4284196056754 & 14.5715803943246 \tabularnewline
129 & 110 & 134.278346750231 & -24.2783467502308 \tabularnewline
130 & 0 & -5.13212575860087 & 5.13212575860087 \tabularnewline
131 & 27 & 26.3768787971481 & 0.623121202851864 \tabularnewline
132 & 83 & 103.568395016195 & -20.5683950161951 \tabularnewline
133 & 30 & 23.6454908708813 & 6.35450912911869 \tabularnewline
134 & 80 & 77.3200045273887 & 2.6799954726113 \tabularnewline
135 & 98 & 110.295760779975 & -12.2957607799745 \tabularnewline
136 & 82 & 106.216777786309 & -24.2167777863086 \tabularnewline
137 & 0 & -5.43546699973881 & 5.43546699973881 \tabularnewline
138 & 60 & 77.4391374132116 & -17.4391374132116 \tabularnewline
139 & 28 & 23.1310885728225 & 4.86891142717753 \tabularnewline
140 & 9 & 14.2924145299485 & -5.29241452994852 \tabularnewline
141 & 33 & 36.2477297554755 & -3.24772975547546 \tabularnewline
142 & 59 & 62.2986029914065 & -3.29860299140649 \tabularnewline
143 & 49 & 52.8706059303985 & -3.87060593039851 \tabularnewline
144 & 115 & 107.856545968689 & 7.14345403131068 \tabularnewline
145 & 140 & 127.098377428852 & 12.9016225711482 \tabularnewline
146 & 49 & 52.2009789546145 & -3.20097895461447 \tabularnewline
147 & 120 & 118.330080832024 & 1.66991916797649 \tabularnewline
148 & 66 & 65.935691992498 & 0.0643080075019415 \tabularnewline
149 & 21 & 16.1378944904276 & 4.86210550957241 \tabularnewline
150 & 124 & 105.612782213597 & 18.3872177864028 \tabularnewline
151 & 152 & 137.415939301198 & 14.5840606988018 \tabularnewline
152 & 139 & 131.135378223021 & 7.8646217769794 \tabularnewline
153 & 38 & 43.2236887559232 & -5.22368875592324 \tabularnewline
154 & 144 & 142.359727333353 & 1.64027266664735 \tabularnewline
155 & 120 & 129.772582373303 & -9.77258237330305 \tabularnewline
156 & 160 & 152.116786904601 & 7.88321309539895 \tabularnewline
157 & 114 & 97.0885554218375 & 16.9114445781625 \tabularnewline
158 & 39 & 38.777617594525 & 0.222382405475027 \tabularnewline
159 & 78 & 78.404855695424 & -0.404855695424039 \tabularnewline
160 & 119 & 100.527453464376 & 18.4725465356236 \tabularnewline
161 & 141 & 131.350947581528 & 9.6490524184717 \tabularnewline
162 & 101 & 91.1072363354413 & 9.89276366455872 \tabularnewline
163 & 56 & 44.9547289474925 & 11.0452710525075 \tabularnewline
164 & 133 & 117.274150822639 & 15.7258491773613 \tabularnewline
165 & 83 & 84.767329998217 & -1.76732999821702 \tabularnewline
166 & 116 & 110.440263198996 & 5.55973680100412 \tabularnewline
167 & 90 & 94.643109616607 & -4.64310961660705 \tabularnewline
168 & 36 & 82.3439973092466 & -46.3439973092466 \tabularnewline
169 & 50 & 60.5694618699064 & -10.5694618699064 \tabularnewline
170 & 61 & 61.68324309881 & -0.683243098810043 \tabularnewline
171 & 97 & 109.626524423449 & -12.6265244234492 \tabularnewline
172 & 98 & 101.193915730535 & -3.19391573053514 \tabularnewline
173 & 78 & 64.8229095273671 & 13.1770904726329 \tabularnewline
174 & 117 & 137.100974478281 & -20.1009744782806 \tabularnewline
175 & 148 & 134.791346675882 & 13.2086533241178 \tabularnewline
176 & 41 & 39.8363956658616 & 1.16360433413835 \tabularnewline
177 & 105 & 98.6141263422753 & 6.38587365772475 \tabularnewline
178 & 55 & 54.6116508613232 & 0.388349138676828 \tabularnewline
179 & 132 & 125.035611966275 & 6.96438803372487 \tabularnewline
180 & 44 & 40.4005070650267 & 3.59949293497333 \tabularnewline
181 & 21 & 22.9662740314662 & -1.96627403146616 \tabularnewline
182 & 50 & 54.5156764980708 & -4.51567649807077 \tabularnewline
183 & 0 & -5.33347923785424 & 5.33347923785424 \tabularnewline
184 & 73 & 88.8411418047306 & -15.8411418047306 \tabularnewline
185 & 86 & 128.761817771907 & -42.7618177719073 \tabularnewline
186 & 0 & -5.22603998334904 & 5.22603998334904 \tabularnewline
187 & 13 & 6.50522223694674 & 6.49477776305326 \tabularnewline
188 & 4 & -2.32796019494651 & 6.32796019494651 \tabularnewline
189 & 57 & 52.3068087020632 & 4.69319129793679 \tabularnewline
190 & 48 & 84.0010208635686 & -36.0010208635686 \tabularnewline
191 & 46 & 68.7579968926466 & -22.7579968926466 \tabularnewline
192 & 48 & 50.2984777430406 & -2.29847774304062 \tabularnewline
193 & 32 & 33.8929204155252 & -1.89292041552522 \tabularnewline
194 & 68 & 62.4026244239121 & 5.59737557608789 \tabularnewline
195 & 87 & 72.1699864629994 & 14.8300135370006 \tabularnewline
196 & 43 & 42.4563360526073 & 0.543663947392686 \tabularnewline
197 & 67 & 55.7516097484114 & 11.2483902515886 \tabularnewline
198 & 46 & 38.5369143881071 & 7.4630856118929 \tabularnewline
199 & 46 & 51.4758312544059 & -5.47583125440586 \tabularnewline
200 & 56 & 45.7713438897901 & 10.2286561102099 \tabularnewline
201 & 48 & 46.3416333046991 & 1.65836669530086 \tabularnewline
202 & 44 & 52.6475327927345 & -8.64753279273454 \tabularnewline
203 & 60 & 48.9262343402159 & 11.0737656597841 \tabularnewline
204 & 65 & 53.3614613697211 & 11.6385386302789 \tabularnewline
205 & 55 & 56.451506268858 & -1.451506268858 \tabularnewline
206 & 38 & 54.163513061885 & -16.163513061885 \tabularnewline
207 & 52 & 47.1822099978931 & 4.8177900021069 \tabularnewline
208 & 60 & 49.898503863463 & 10.101496136537 \tabularnewline
209 & 54 & 52.4698457089672 & 1.53015429103276 \tabularnewline
210 & 86 & 70.993631390446 & 15.006368609554 \tabularnewline
211 & 24 & 25.5644736901339 & -1.56447369013387 \tabularnewline
212 & 52 & 51.0499475619755 & 0.950052438024508 \tabularnewline
213 & 49 & 50.1490543047165 & -1.14905430471647 \tabularnewline
214 & 61 & 49.3070605097588 & 11.6929394902412 \tabularnewline
215 & 61 & 69.8081882930496 & -8.80818829304958 \tabularnewline
216 & 81 & 65.7370619891733 & 15.2629380108267 \tabularnewline
217 & 43 & 38.1655789304575 & 4.83442106954248 \tabularnewline
218 & 40 & 39.691941706931 & 0.308058293068981 \tabularnewline
219 & 40 & 48.9304366512931 & -8.93043665129307 \tabularnewline
220 & 56 & 44.8040618466475 & 11.1959381533525 \tabularnewline
221 & 68 & 56.8320897961078 & 11.1679102038922 \tabularnewline
222 & 79 & 72.3810405457719 & 6.6189594542281 \tabularnewline
223 & 47 & 54.7653073767792 & -7.76530737677925 \tabularnewline
224 & 57 & 53.8905182020579 & 3.10948179794208 \tabularnewline
225 & 41 & 48.3730031753035 & -7.37300317530346 \tabularnewline
226 & 29 & 42.1821780540441 & -13.1821780540441 \tabularnewline
227 & 3 & 18.145959209697 & -15.145959209697 \tabularnewline
228 & 60 & 52.3765481697301 & 7.62345183026987 \tabularnewline
229 & 30 & 28.7774649387165 & 1.22253506128345 \tabularnewline
230 & 79 & 68.9522945307841 & 10.0477054692159 \tabularnewline
231 & 47 & 46.2417363511373 & 0.758263648862684 \tabularnewline
232 & 40 & 42.2106999663055 & -2.21069996630548 \tabularnewline
233 & 48 & 43.9223646236476 & 4.07763537635243 \tabularnewline
234 & 36 & 42.4459147869532 & -6.44591478695317 \tabularnewline
235 & 42 & 56.3895129941296 & -14.3895129941296 \tabularnewline
236 & 49 & 51.602849740064 & -2.60284974006404 \tabularnewline
237 & 57 & 57.6497379422781 & -0.649737942278063 \tabularnewline
238 & 12 & 49.4324275467764 & -37.4324275467764 \tabularnewline
239 & 40 & 48.6388898803548 & -8.63888988035476 \tabularnewline
240 & 43 & 44.9742016260756 & -1.97420162607564 \tabularnewline
241 & 33 & 44.4900458780317 & -11.4900458780316 \tabularnewline
242 & 77 & 65.3676728986702 & 11.6323271013298 \tabularnewline
243 & 43 & 48.5333938595801 & -5.53339385958014 \tabularnewline
244 & 45 & 42.3837352062283 & 2.61626479377168 \tabularnewline
245 & 47 & 39.3569516852473 & 7.6430483147527 \tabularnewline
246 & 43 & 51.6877522570206 & -8.68775225702058 \tabularnewline
247 & 45 & 47.431305714031 & -2.43130571403101 \tabularnewline
248 & 50 & 43.695610112469 & 6.30438988753098 \tabularnewline
249 & 35 & 29.9345167277159 & 5.06548327228405 \tabularnewline
250 & 7 & 12.7571405466744 & -5.75714054667443 \tabularnewline
251 & 71 & 65.2080860676814 & 5.79191393231863 \tabularnewline
252 & 67 & 64.5580101451564 & 2.44198985484356 \tabularnewline
253 & 0 & -2.62950928938171 & 2.62950928938171 \tabularnewline
254 & 62 & 54.7581753706422 & 7.24182462935784 \tabularnewline
255 & 54 & 43.4287058161571 & 10.5712941838429 \tabularnewline
256 & 4 & 6.70873578842349 & -2.70873578842349 \tabularnewline
257 & 25 & 20.7115108971034 & 4.28848910289658 \tabularnewline
258 & 40 & 47.5835879442192 & -7.5835879442192 \tabularnewline
259 & 38 & 41.9830972307224 & -3.98309723072242 \tabularnewline
260 & 19 & 24.9308648437156 & -5.93086484371561 \tabularnewline
261 & 17 & 39.5326993619368 & -22.5326993619368 \tabularnewline
262 & 67 & 55.1376418113785 & 11.8623581886215 \tabularnewline
263 & 14 & 10.4359618620632 & 3.56403813793685 \tabularnewline
264 & 30 & 41.3981390057913 & -11.3981390057913 \tabularnewline
265 & 54 & 38.3423091789745 & 15.6576908210255 \tabularnewline
266 & 35 & 43.3314116114348 & -8.33141161143483 \tabularnewline
267 & 59 & 55.490644158668 & 3.50935584133202 \tabularnewline
268 & 24 & 29.0083961592765 & -5.00839615927647 \tabularnewline
269 & 58 & 48.9849803381698 & 9.01501966183018 \tabularnewline
270 & 42 & 47.9774813216559 & -5.97748132165594 \tabularnewline
271 & 46 & 58.4657846027954 & -12.4657846027953 \tabularnewline
272 & 61 & 48.1194792415596 & 12.8805207584404 \tabularnewline
273 & 3 & -1.7334321204463 & 4.7334321204463 \tabularnewline
274 & 52 & 51.9446089358527 & 0.0553910641472733 \tabularnewline
275 & 25 & 29.6943371436025 & -4.69433714360245 \tabularnewline
276 & 40 & 56.538583896213 & -16.538583896213 \tabularnewline
277 & 32 & 35.5455660835923 & -3.54556608359231 \tabularnewline
278 & 4 & 2.85497976309961 & 1.14502023690039 \tabularnewline
279 & 49 & 41.4678994998387 & 7.53210050016125 \tabularnewline
280 & 63 & 49.5621957834395 & 13.4378042165605 \tabularnewline
281 & 67 & 58.7804434737029 & 8.2195565262971 \tabularnewline
282 & 32 & 29.0918725986482 & 2.90812740135182 \tabularnewline
283 & 23 & 30.6293262850605 & -7.62932628506049 \tabularnewline
284 & 7 & 7.395645236087 & -0.395645236087006 \tabularnewline
285 & 54 & 43.516969337618 & 10.4830306623821 \tabularnewline
286 & 37 & 50.4164787302656 & -13.4164787302655 \tabularnewline
287 & 35 & 31.3934947983688 & 3.60650520163119 \tabularnewline
288 & 51 & 45.8129829189191 & 5.18701708108093 \tabularnewline
289 & 39 & 47.5789215910394 & -8.57892159103938 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155003&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]94[/C][C]101.490714816148[/C][C]-7.49071481614782[/C][/ROW]
[ROW][C]2[/C][C]103[/C][C]91.105103805273[/C][C]11.894896194727[/C][/ROW]
[ROW][C]3[/C][C]93[/C][C]126.290540875918[/C][C]-33.2905408759179[/C][/ROW]
[ROW][C]4[/C][C]103[/C][C]99.970814383771[/C][C]3.02918561622893[/C][/ROW]
[ROW][C]5[/C][C]51[/C][C]52.993925465286[/C][C]-1.99392546528597[/C][/ROW]
[ROW][C]6[/C][C]70[/C][C]75.3751644327596[/C][C]-5.37516443275961[/C][/ROW]
[ROW][C]7[/C][C]91[/C][C]90.5314281796157[/C][C]0.46857182038431[/C][/ROW]
[ROW][C]8[/C][C]22[/C][C]46.1521862141988[/C][C]-24.1521862141988[/C][/ROW]
[ROW][C]9[/C][C]38[/C][C]33.6146795442426[/C][C]4.3853204557574[/C][/ROW]
[ROW][C]10[/C][C]93[/C][C]82.754091259633[/C][C]10.245908740367[/C][/ROW]
[ROW][C]11[/C][C]60[/C][C]77.7844357563008[/C][C]-17.7844357563008[/C][/ROW]
[ROW][C]12[/C][C]123[/C][C]115.943197496094[/C][C]7.05680250390614[/C][/ROW]
[ROW][C]13[/C][C]148[/C][C]139.785242193935[/C][C]8.21475780606466[/C][/ROW]
[ROW][C]14[/C][C]90[/C][C]79.3392054302503[/C][C]10.6607945697497[/C][/ROW]
[ROW][C]15[/C][C]124[/C][C]118.780794127571[/C][C]5.21920587242893[/C][/ROW]
[ROW][C]16[/C][C]70[/C][C]112.228660419108[/C][C]-42.2286604191078[/C][/ROW]
[ROW][C]17[/C][C]168[/C][C]156.851562828532[/C][C]11.1484371714675[/C][/ROW]
[ROW][C]18[/C][C]115[/C][C]104.939200752798[/C][C]10.0607992472021[/C][/ROW]
[ROW][C]19[/C][C]71[/C][C]98.509030555834[/C][C]-27.5090305558341[/C][/ROW]
[ROW][C]20[/C][C]66[/C][C]74.6455712542827[/C][C]-8.64557125428271[/C][/ROW]
[ROW][C]21[/C][C]134[/C][C]124.829549314553[/C][C]9.17045068544732[/C][/ROW]
[ROW][C]22[/C][C]117[/C][C]115.075779559656[/C][C]1.92422044034396[/C][/ROW]
[ROW][C]23[/C][C]108[/C][C]96.327890308756[/C][C]11.6721096912439[/C][/ROW]
[ROW][C]24[/C][C]84[/C][C]75.420602348298[/C][C]8.579397651702[/C][/ROW]
[ROW][C]25[/C][C]156[/C][C]133.157512008114[/C][C]22.8424879918864[/C][/ROW]
[ROW][C]26[/C][C]120[/C][C]109.50757720808[/C][C]10.4924227919202[/C][/ROW]
[ROW][C]27[/C][C]114[/C][C]95.2207512215452[/C][C]18.7792487784548[/C][/ROW]
[ROW][C]28[/C][C]94[/C][C]101.953689766097[/C][C]-7.95368976609657[/C][/ROW]
[ROW][C]29[/C][C]120[/C][C]108.597172325875[/C][C]11.4028276741245[/C][/ROW]
[ROW][C]30[/C][C]81[/C][C]75.0442059408199[/C][C]5.95579405918009[/C][/ROW]
[ROW][C]31[/C][C]110[/C][C]110.011395717396[/C][C]-0.0113957173956879[/C][/ROW]
[ROW][C]32[/C][C]133[/C][C]116.23219167942[/C][C]16.7678083205798[/C][/ROW]
[ROW][C]33[/C][C]122[/C][C]123.077048332709[/C][C]-1.07704833270903[/C][/ROW]
[ROW][C]34[/C][C]158[/C][C]142.183991393807[/C][C]15.8160086061926[/C][/ROW]
[ROW][C]35[/C][C]109[/C][C]89.5147140019834[/C][C]19.4852859980166[/C][/ROW]
[ROW][C]36[/C][C]124[/C][C]113.070141660793[/C][C]10.929858339207[/C][/ROW]
[ROW][C]37[/C][C]39[/C][C]41.4077561751066[/C][C]-2.40775617510657[/C][/ROW]
[ROW][C]38[/C][C]92[/C][C]100.206341754259[/C][C]-8.20634175425935[/C][/ROW]
[ROW][C]39[/C][C]126[/C][C]116.912951806874[/C][C]9.08704819312563[/C][/ROW]
[ROW][C]40[/C][C]0[/C][C]-6.20214544646191[/C][C]6.20214544646191[/C][/ROW]
[ROW][C]41[/C][C]70[/C][C]89.8442410823032[/C][C]-19.8442410823032[/C][/ROW]
[ROW][C]42[/C][C]37[/C][C]35.7392497245053[/C][C]1.26075027549472[/C][/ROW]
[ROW][C]43[/C][C]38[/C][C]40.1848659292863[/C][C]-2.1848659292863[/C][/ROW]
[ROW][C]44[/C][C]120[/C][C]106.971464286099[/C][C]13.0285357139009[/C][/ROW]
[ROW][C]45[/C][C]93[/C][C]106.346509283036[/C][C]-13.3465092830355[/C][/ROW]
[ROW][C]46[/C][C]95[/C][C]105.15857836096[/C][C]-10.1585783609597[/C][/ROW]
[ROW][C]47[/C][C]77[/C][C]65.6561938554796[/C][C]11.3438061445204[/C][/ROW]
[ROW][C]48[/C][C]90[/C][C]80.6260644729759[/C][C]9.37393552702411[/C][/ROW]
[ROW][C]49[/C][C]80[/C][C]83.7444811839296[/C][C]-3.74448118392957[/C][/ROW]
[ROW][C]50[/C][C]31[/C][C]23.3971055275602[/C][C]7.60289447243984[/C][/ROW]
[ROW][C]51[/C][C]110[/C][C]116.726625077031[/C][C]-6.72662507703092[/C][/ROW]
[ROW][C]52[/C][C]66[/C][C]58.3577918261788[/C][C]7.64220817382124[/C][/ROW]
[ROW][C]53[/C][C]138[/C][C]123.534088704178[/C][C]14.4659112958221[/C][/ROW]
[ROW][C]54[/C][C]133[/C][C]133.617311136542[/C][C]-0.617311136542238[/C][/ROW]
[ROW][C]55[/C][C]113[/C][C]100.979543125065[/C][C]12.0204568749353[/C][/ROW]
[ROW][C]56[/C][C]100[/C][C]100.13441089047[/C][C]-0.134410890470209[/C][/ROW]
[ROW][C]57[/C][C]7[/C][C]3.22504215315725[/C][C]3.77495784684275[/C][/ROW]
[ROW][C]58[/C][C]140[/C][C]125.630988523325[/C][C]14.369011476675[/C][/ROW]
[ROW][C]59[/C][C]61[/C][C]52.5116974148887[/C][C]8.4883025851113[/C][/ROW]
[ROW][C]60[/C][C]41[/C][C]41.312219841929[/C][C]-0.312219841929049[/C][/ROW]
[ROW][C]61[/C][C]96[/C][C]92.0931546346333[/C][C]3.90684536536673[/C][/ROW]
[ROW][C]62[/C][C]164[/C][C]143.815580455675[/C][C]20.1844195443248[/C][/ROW]
[ROW][C]63[/C][C]78[/C][C]76.5937037534453[/C][C]1.40629624655472[/C][/ROW]
[ROW][C]64[/C][C]49[/C][C]46.610928514501[/C][C]2.38907148549904[/C][/ROW]
[ROW][C]65[/C][C]102[/C][C]96.9066172983635[/C][C]5.09338270163649[/C][/ROW]
[ROW][C]66[/C][C]124[/C][C]110.199910007866[/C][C]13.8000899921344[/C][/ROW]
[ROW][C]67[/C][C]99[/C][C]98.9850303927523[/C][C]0.0149696072476508[/C][/ROW]
[ROW][C]68[/C][C]129[/C][C]134.014940008137[/C][C]-5.01494000813699[/C][/ROW]
[ROW][C]69[/C][C]62[/C][C]81.7890746751082[/C][C]-19.7890746751082[/C][/ROW]
[ROW][C]70[/C][C]73[/C][C]117.557523423561[/C][C]-44.5575234235608[/C][/ROW]
[ROW][C]71[/C][C]114[/C][C]105.636915965691[/C][C]8.36308403430862[/C][/ROW]
[ROW][C]72[/C][C]99[/C][C]91.3654793855292[/C][C]7.63452061447082[/C][/ROW]
[ROW][C]73[/C][C]70[/C][C]83.8600381244564[/C][C]-13.8600381244564[/C][/ROW]
[ROW][C]74[/C][C]104[/C][C]88.8690024573361[/C][C]15.1309975426639[/C][/ROW]
[ROW][C]75[/C][C]116[/C][C]114.787247908965[/C][C]1.21275209103526[/C][/ROW]
[ROW][C]76[/C][C]91[/C][C]95.2101502715271[/C][C]-4.21015027152713[/C][/ROW]
[ROW][C]77[/C][C]74[/C][C]78.2102523265038[/C][C]-4.21025232650377[/C][/ROW]
[ROW][C]78[/C][C]138[/C][C]135.214154867786[/C][C]2.7858451322144[/C][/ROW]
[ROW][C]79[/C][C]67[/C][C]69.3599995583161[/C][C]-2.35999955831615[/C][/ROW]
[ROW][C]80[/C][C]151[/C][C]131.177612245239[/C][C]19.8223877547605[/C][/ROW]
[ROW][C]81[/C][C]72[/C][C]86.9729834376227[/C][C]-14.9729834376227[/C][/ROW]
[ROW][C]82[/C][C]120[/C][C]111.311067554147[/C][C]8.68893244585298[/C][/ROW]
[ROW][C]83[/C][C]115[/C][C]116.055780287055[/C][C]-1.05578028705452[/C][/ROW]
[ROW][C]84[/C][C]105[/C][C]95.6440699103258[/C][C]9.35593008967417[/C][/ROW]
[ROW][C]85[/C][C]104[/C][C]110.364963999772[/C][C]-6.36496399977172[/C][/ROW]
[ROW][C]86[/C][C]108[/C][C]99.3905548118553[/C][C]8.60944518814471[/C][/ROW]
[ROW][C]87[/C][C]98[/C][C]97.4770028822975[/C][C]0.522997117702503[/C][/ROW]
[ROW][C]88[/C][C]69[/C][C]68.6138543372224[/C][C]0.386145662777576[/C][/ROW]
[ROW][C]89[/C][C]111[/C][C]131.526375640941[/C][C]-20.5263756409408[/C][/ROW]
[ROW][C]90[/C][C]99[/C][C]79.40993923794[/C][C]19.5900607620599[/C][/ROW]
[ROW][C]91[/C][C]71[/C][C]68.7322245268572[/C][C]2.26777547314276[/C][/ROW]
[ROW][C]92[/C][C]27[/C][C]21.9131077299318[/C][C]5.08689227006823[/C][/ROW]
[ROW][C]93[/C][C]69[/C][C]68.7126981766322[/C][C]0.287301823367796[/C][/ROW]
[ROW][C]94[/C][C]107[/C][C]92.7430707825072[/C][C]14.2569292174928[/C][/ROW]
[ROW][C]95[/C][C]73[/C][C]63.0974957721451[/C][C]9.90250422785494[/C][/ROW]
[ROW][C]96[/C][C]107[/C][C]95.130446642927[/C][C]11.869553357073[/C][/ROW]
[ROW][C]97[/C][C]93[/C][C]127.234080180579[/C][C]-34.2340801805791[/C][/ROW]
[ROW][C]98[/C][C]129[/C][C]118.689369792624[/C][C]10.3106302073763[/C][/ROW]
[ROW][C]99[/C][C]69[/C][C]100.483909865363[/C][C]-31.4839098653634[/C][/ROW]
[ROW][C]100[/C][C]118[/C][C]109.467528327656[/C][C]8.53247167234406[/C][/ROW]
[ROW][C]101[/C][C]73[/C][C]77.0414203113424[/C][C]-4.04142031134236[/C][/ROW]
[ROW][C]102[/C][C]119[/C][C]106.635219326006[/C][C]12.3647806739938[/C][/ROW]
[ROW][C]103[/C][C]104[/C][C]97.3941319854998[/C][C]6.60586801450019[/C][/ROW]
[ROW][C]104[/C][C]107[/C][C]91.3230335556387[/C][C]15.6769664443613[/C][/ROW]
[ROW][C]105[/C][C]99[/C][C]85.5637087482434[/C][C]13.4362912517566[/C][/ROW]
[ROW][C]106[/C][C]90[/C][C]105.211313980233[/C][C]-15.2113139802331[/C][/ROW]
[ROW][C]107[/C][C]197[/C][C]172.894364600525[/C][C]24.1056353994754[/C][/ROW]
[ROW][C]108[/C][C]36[/C][C]59.973669678437[/C][C]-23.9736696784371[/C][/ROW]
[ROW][C]109[/C][C]85[/C][C]92.8509023642362[/C][C]-7.85090236423616[/C][/ROW]
[ROW][C]110[/C][C]139[/C][C]136.800926112637[/C][C]2.19907388736349[/C][/ROW]
[ROW][C]111[/C][C]106[/C][C]111.060983408537[/C][C]-5.06098340853741[/C][/ROW]
[ROW][C]112[/C][C]50[/C][C]94.0278624177424[/C][C]-44.0278624177424[/C][/ROW]
[ROW][C]113[/C][C]64[/C][C]53.4851914199618[/C][C]10.5148085800382[/C][/ROW]
[ROW][C]114[/C][C]31[/C][C]66.5337016623687[/C][C]-35.5337016623687[/C][/ROW]
[ROW][C]115[/C][C]63[/C][C]93.6233235908352[/C][C]-30.6233235908352[/C][/ROW]
[ROW][C]116[/C][C]92[/C][C]102.655014489833[/C][C]-10.6550144898334[/C][/ROW]
[ROW][C]117[/C][C]106[/C][C]112.337632758215[/C][C]-6.33763275821513[/C][/ROW]
[ROW][C]118[/C][C]63[/C][C]63.5532145299364[/C][C]-0.55321452993643[/C][/ROW]
[ROW][C]119[/C][C]69[/C][C]70.1776555004745[/C][C]-1.1776555004745[/C][/ROW]
[ROW][C]120[/C][C]41[/C][C]31.8642708788617[/C][C]9.13572912113827[/C][/ROW]
[ROW][C]121[/C][C]56[/C][C]64.2462241893032[/C][C]-8.24622418930324[/C][/ROW]
[ROW][C]122[/C][C]25[/C][C]25.0899239060238[/C][C]-0.0899239060238171[/C][/ROW]
[ROW][C]123[/C][C]65[/C][C]58.047204513015[/C][C]6.95279548698496[/C][/ROW]
[ROW][C]124[/C][C]93[/C][C]97.361810445063[/C][C]-4.36181044506299[/C][/ROW]
[ROW][C]125[/C][C]114[/C][C]100.301475696606[/C][C]13.6985243033938[/C][/ROW]
[ROW][C]126[/C][C]38[/C][C]32.7103592251369[/C][C]5.28964077486306[/C][/ROW]
[ROW][C]127[/C][C]44[/C][C]40.7207191207172[/C][C]3.27928087928281[/C][/ROW]
[ROW][C]128[/C][C]87[/C][C]72.4284196056754[/C][C]14.5715803943246[/C][/ROW]
[ROW][C]129[/C][C]110[/C][C]134.278346750231[/C][C]-24.2783467502308[/C][/ROW]
[ROW][C]130[/C][C]0[/C][C]-5.13212575860087[/C][C]5.13212575860087[/C][/ROW]
[ROW][C]131[/C][C]27[/C][C]26.3768787971481[/C][C]0.623121202851864[/C][/ROW]
[ROW][C]132[/C][C]83[/C][C]103.568395016195[/C][C]-20.5683950161951[/C][/ROW]
[ROW][C]133[/C][C]30[/C][C]23.6454908708813[/C][C]6.35450912911869[/C][/ROW]
[ROW][C]134[/C][C]80[/C][C]77.3200045273887[/C][C]2.6799954726113[/C][/ROW]
[ROW][C]135[/C][C]98[/C][C]110.295760779975[/C][C]-12.2957607799745[/C][/ROW]
[ROW][C]136[/C][C]82[/C][C]106.216777786309[/C][C]-24.2167777863086[/C][/ROW]
[ROW][C]137[/C][C]0[/C][C]-5.43546699973881[/C][C]5.43546699973881[/C][/ROW]
[ROW][C]138[/C][C]60[/C][C]77.4391374132116[/C][C]-17.4391374132116[/C][/ROW]
[ROW][C]139[/C][C]28[/C][C]23.1310885728225[/C][C]4.86891142717753[/C][/ROW]
[ROW][C]140[/C][C]9[/C][C]14.2924145299485[/C][C]-5.29241452994852[/C][/ROW]
[ROW][C]141[/C][C]33[/C][C]36.2477297554755[/C][C]-3.24772975547546[/C][/ROW]
[ROW][C]142[/C][C]59[/C][C]62.2986029914065[/C][C]-3.29860299140649[/C][/ROW]
[ROW][C]143[/C][C]49[/C][C]52.8706059303985[/C][C]-3.87060593039851[/C][/ROW]
[ROW][C]144[/C][C]115[/C][C]107.856545968689[/C][C]7.14345403131068[/C][/ROW]
[ROW][C]145[/C][C]140[/C][C]127.098377428852[/C][C]12.9016225711482[/C][/ROW]
[ROW][C]146[/C][C]49[/C][C]52.2009789546145[/C][C]-3.20097895461447[/C][/ROW]
[ROW][C]147[/C][C]120[/C][C]118.330080832024[/C][C]1.66991916797649[/C][/ROW]
[ROW][C]148[/C][C]66[/C][C]65.935691992498[/C][C]0.0643080075019415[/C][/ROW]
[ROW][C]149[/C][C]21[/C][C]16.1378944904276[/C][C]4.86210550957241[/C][/ROW]
[ROW][C]150[/C][C]124[/C][C]105.612782213597[/C][C]18.3872177864028[/C][/ROW]
[ROW][C]151[/C][C]152[/C][C]137.415939301198[/C][C]14.5840606988018[/C][/ROW]
[ROW][C]152[/C][C]139[/C][C]131.135378223021[/C][C]7.8646217769794[/C][/ROW]
[ROW][C]153[/C][C]38[/C][C]43.2236887559232[/C][C]-5.22368875592324[/C][/ROW]
[ROW][C]154[/C][C]144[/C][C]142.359727333353[/C][C]1.64027266664735[/C][/ROW]
[ROW][C]155[/C][C]120[/C][C]129.772582373303[/C][C]-9.77258237330305[/C][/ROW]
[ROW][C]156[/C][C]160[/C][C]152.116786904601[/C][C]7.88321309539895[/C][/ROW]
[ROW][C]157[/C][C]114[/C][C]97.0885554218375[/C][C]16.9114445781625[/C][/ROW]
[ROW][C]158[/C][C]39[/C][C]38.777617594525[/C][C]0.222382405475027[/C][/ROW]
[ROW][C]159[/C][C]78[/C][C]78.404855695424[/C][C]-0.404855695424039[/C][/ROW]
[ROW][C]160[/C][C]119[/C][C]100.527453464376[/C][C]18.4725465356236[/C][/ROW]
[ROW][C]161[/C][C]141[/C][C]131.350947581528[/C][C]9.6490524184717[/C][/ROW]
[ROW][C]162[/C][C]101[/C][C]91.1072363354413[/C][C]9.89276366455872[/C][/ROW]
[ROW][C]163[/C][C]56[/C][C]44.9547289474925[/C][C]11.0452710525075[/C][/ROW]
[ROW][C]164[/C][C]133[/C][C]117.274150822639[/C][C]15.7258491773613[/C][/ROW]
[ROW][C]165[/C][C]83[/C][C]84.767329998217[/C][C]-1.76732999821702[/C][/ROW]
[ROW][C]166[/C][C]116[/C][C]110.440263198996[/C][C]5.55973680100412[/C][/ROW]
[ROW][C]167[/C][C]90[/C][C]94.643109616607[/C][C]-4.64310961660705[/C][/ROW]
[ROW][C]168[/C][C]36[/C][C]82.3439973092466[/C][C]-46.3439973092466[/C][/ROW]
[ROW][C]169[/C][C]50[/C][C]60.5694618699064[/C][C]-10.5694618699064[/C][/ROW]
[ROW][C]170[/C][C]61[/C][C]61.68324309881[/C][C]-0.683243098810043[/C][/ROW]
[ROW][C]171[/C][C]97[/C][C]109.626524423449[/C][C]-12.6265244234492[/C][/ROW]
[ROW][C]172[/C][C]98[/C][C]101.193915730535[/C][C]-3.19391573053514[/C][/ROW]
[ROW][C]173[/C][C]78[/C][C]64.8229095273671[/C][C]13.1770904726329[/C][/ROW]
[ROW][C]174[/C][C]117[/C][C]137.100974478281[/C][C]-20.1009744782806[/C][/ROW]
[ROW][C]175[/C][C]148[/C][C]134.791346675882[/C][C]13.2086533241178[/C][/ROW]
[ROW][C]176[/C][C]41[/C][C]39.8363956658616[/C][C]1.16360433413835[/C][/ROW]
[ROW][C]177[/C][C]105[/C][C]98.6141263422753[/C][C]6.38587365772475[/C][/ROW]
[ROW][C]178[/C][C]55[/C][C]54.6116508613232[/C][C]0.388349138676828[/C][/ROW]
[ROW][C]179[/C][C]132[/C][C]125.035611966275[/C][C]6.96438803372487[/C][/ROW]
[ROW][C]180[/C][C]44[/C][C]40.4005070650267[/C][C]3.59949293497333[/C][/ROW]
[ROW][C]181[/C][C]21[/C][C]22.9662740314662[/C][C]-1.96627403146616[/C][/ROW]
[ROW][C]182[/C][C]50[/C][C]54.5156764980708[/C][C]-4.51567649807077[/C][/ROW]
[ROW][C]183[/C][C]0[/C][C]-5.33347923785424[/C][C]5.33347923785424[/C][/ROW]
[ROW][C]184[/C][C]73[/C][C]88.8411418047306[/C][C]-15.8411418047306[/C][/ROW]
[ROW][C]185[/C][C]86[/C][C]128.761817771907[/C][C]-42.7618177719073[/C][/ROW]
[ROW][C]186[/C][C]0[/C][C]-5.22603998334904[/C][C]5.22603998334904[/C][/ROW]
[ROW][C]187[/C][C]13[/C][C]6.50522223694674[/C][C]6.49477776305326[/C][/ROW]
[ROW][C]188[/C][C]4[/C][C]-2.32796019494651[/C][C]6.32796019494651[/C][/ROW]
[ROW][C]189[/C][C]57[/C][C]52.3068087020632[/C][C]4.69319129793679[/C][/ROW]
[ROW][C]190[/C][C]48[/C][C]84.0010208635686[/C][C]-36.0010208635686[/C][/ROW]
[ROW][C]191[/C][C]46[/C][C]68.7579968926466[/C][C]-22.7579968926466[/C][/ROW]
[ROW][C]192[/C][C]48[/C][C]50.2984777430406[/C][C]-2.29847774304062[/C][/ROW]
[ROW][C]193[/C][C]32[/C][C]33.8929204155252[/C][C]-1.89292041552522[/C][/ROW]
[ROW][C]194[/C][C]68[/C][C]62.4026244239121[/C][C]5.59737557608789[/C][/ROW]
[ROW][C]195[/C][C]87[/C][C]72.1699864629994[/C][C]14.8300135370006[/C][/ROW]
[ROW][C]196[/C][C]43[/C][C]42.4563360526073[/C][C]0.543663947392686[/C][/ROW]
[ROW][C]197[/C][C]67[/C][C]55.7516097484114[/C][C]11.2483902515886[/C][/ROW]
[ROW][C]198[/C][C]46[/C][C]38.5369143881071[/C][C]7.4630856118929[/C][/ROW]
[ROW][C]199[/C][C]46[/C][C]51.4758312544059[/C][C]-5.47583125440586[/C][/ROW]
[ROW][C]200[/C][C]56[/C][C]45.7713438897901[/C][C]10.2286561102099[/C][/ROW]
[ROW][C]201[/C][C]48[/C][C]46.3416333046991[/C][C]1.65836669530086[/C][/ROW]
[ROW][C]202[/C][C]44[/C][C]52.6475327927345[/C][C]-8.64753279273454[/C][/ROW]
[ROW][C]203[/C][C]60[/C][C]48.9262343402159[/C][C]11.0737656597841[/C][/ROW]
[ROW][C]204[/C][C]65[/C][C]53.3614613697211[/C][C]11.6385386302789[/C][/ROW]
[ROW][C]205[/C][C]55[/C][C]56.451506268858[/C][C]-1.451506268858[/C][/ROW]
[ROW][C]206[/C][C]38[/C][C]54.163513061885[/C][C]-16.163513061885[/C][/ROW]
[ROW][C]207[/C][C]52[/C][C]47.1822099978931[/C][C]4.8177900021069[/C][/ROW]
[ROW][C]208[/C][C]60[/C][C]49.898503863463[/C][C]10.101496136537[/C][/ROW]
[ROW][C]209[/C][C]54[/C][C]52.4698457089672[/C][C]1.53015429103276[/C][/ROW]
[ROW][C]210[/C][C]86[/C][C]70.993631390446[/C][C]15.006368609554[/C][/ROW]
[ROW][C]211[/C][C]24[/C][C]25.5644736901339[/C][C]-1.56447369013387[/C][/ROW]
[ROW][C]212[/C][C]52[/C][C]51.0499475619755[/C][C]0.950052438024508[/C][/ROW]
[ROW][C]213[/C][C]49[/C][C]50.1490543047165[/C][C]-1.14905430471647[/C][/ROW]
[ROW][C]214[/C][C]61[/C][C]49.3070605097588[/C][C]11.6929394902412[/C][/ROW]
[ROW][C]215[/C][C]61[/C][C]69.8081882930496[/C][C]-8.80818829304958[/C][/ROW]
[ROW][C]216[/C][C]81[/C][C]65.7370619891733[/C][C]15.2629380108267[/C][/ROW]
[ROW][C]217[/C][C]43[/C][C]38.1655789304575[/C][C]4.83442106954248[/C][/ROW]
[ROW][C]218[/C][C]40[/C][C]39.691941706931[/C][C]0.308058293068981[/C][/ROW]
[ROW][C]219[/C][C]40[/C][C]48.9304366512931[/C][C]-8.93043665129307[/C][/ROW]
[ROW][C]220[/C][C]56[/C][C]44.8040618466475[/C][C]11.1959381533525[/C][/ROW]
[ROW][C]221[/C][C]68[/C][C]56.8320897961078[/C][C]11.1679102038922[/C][/ROW]
[ROW][C]222[/C][C]79[/C][C]72.3810405457719[/C][C]6.6189594542281[/C][/ROW]
[ROW][C]223[/C][C]47[/C][C]54.7653073767792[/C][C]-7.76530737677925[/C][/ROW]
[ROW][C]224[/C][C]57[/C][C]53.8905182020579[/C][C]3.10948179794208[/C][/ROW]
[ROW][C]225[/C][C]41[/C][C]48.3730031753035[/C][C]-7.37300317530346[/C][/ROW]
[ROW][C]226[/C][C]29[/C][C]42.1821780540441[/C][C]-13.1821780540441[/C][/ROW]
[ROW][C]227[/C][C]3[/C][C]18.145959209697[/C][C]-15.145959209697[/C][/ROW]
[ROW][C]228[/C][C]60[/C][C]52.3765481697301[/C][C]7.62345183026987[/C][/ROW]
[ROW][C]229[/C][C]30[/C][C]28.7774649387165[/C][C]1.22253506128345[/C][/ROW]
[ROW][C]230[/C][C]79[/C][C]68.9522945307841[/C][C]10.0477054692159[/C][/ROW]
[ROW][C]231[/C][C]47[/C][C]46.2417363511373[/C][C]0.758263648862684[/C][/ROW]
[ROW][C]232[/C][C]40[/C][C]42.2106999663055[/C][C]-2.21069996630548[/C][/ROW]
[ROW][C]233[/C][C]48[/C][C]43.9223646236476[/C][C]4.07763537635243[/C][/ROW]
[ROW][C]234[/C][C]36[/C][C]42.4459147869532[/C][C]-6.44591478695317[/C][/ROW]
[ROW][C]235[/C][C]42[/C][C]56.3895129941296[/C][C]-14.3895129941296[/C][/ROW]
[ROW][C]236[/C][C]49[/C][C]51.602849740064[/C][C]-2.60284974006404[/C][/ROW]
[ROW][C]237[/C][C]57[/C][C]57.6497379422781[/C][C]-0.649737942278063[/C][/ROW]
[ROW][C]238[/C][C]12[/C][C]49.4324275467764[/C][C]-37.4324275467764[/C][/ROW]
[ROW][C]239[/C][C]40[/C][C]48.6388898803548[/C][C]-8.63888988035476[/C][/ROW]
[ROW][C]240[/C][C]43[/C][C]44.9742016260756[/C][C]-1.97420162607564[/C][/ROW]
[ROW][C]241[/C][C]33[/C][C]44.4900458780317[/C][C]-11.4900458780316[/C][/ROW]
[ROW][C]242[/C][C]77[/C][C]65.3676728986702[/C][C]11.6323271013298[/C][/ROW]
[ROW][C]243[/C][C]43[/C][C]48.5333938595801[/C][C]-5.53339385958014[/C][/ROW]
[ROW][C]244[/C][C]45[/C][C]42.3837352062283[/C][C]2.61626479377168[/C][/ROW]
[ROW][C]245[/C][C]47[/C][C]39.3569516852473[/C][C]7.6430483147527[/C][/ROW]
[ROW][C]246[/C][C]43[/C][C]51.6877522570206[/C][C]-8.68775225702058[/C][/ROW]
[ROW][C]247[/C][C]45[/C][C]47.431305714031[/C][C]-2.43130571403101[/C][/ROW]
[ROW][C]248[/C][C]50[/C][C]43.695610112469[/C][C]6.30438988753098[/C][/ROW]
[ROW][C]249[/C][C]35[/C][C]29.9345167277159[/C][C]5.06548327228405[/C][/ROW]
[ROW][C]250[/C][C]7[/C][C]12.7571405466744[/C][C]-5.75714054667443[/C][/ROW]
[ROW][C]251[/C][C]71[/C][C]65.2080860676814[/C][C]5.79191393231863[/C][/ROW]
[ROW][C]252[/C][C]67[/C][C]64.5580101451564[/C][C]2.44198985484356[/C][/ROW]
[ROW][C]253[/C][C]0[/C][C]-2.62950928938171[/C][C]2.62950928938171[/C][/ROW]
[ROW][C]254[/C][C]62[/C][C]54.7581753706422[/C][C]7.24182462935784[/C][/ROW]
[ROW][C]255[/C][C]54[/C][C]43.4287058161571[/C][C]10.5712941838429[/C][/ROW]
[ROW][C]256[/C][C]4[/C][C]6.70873578842349[/C][C]-2.70873578842349[/C][/ROW]
[ROW][C]257[/C][C]25[/C][C]20.7115108971034[/C][C]4.28848910289658[/C][/ROW]
[ROW][C]258[/C][C]40[/C][C]47.5835879442192[/C][C]-7.5835879442192[/C][/ROW]
[ROW][C]259[/C][C]38[/C][C]41.9830972307224[/C][C]-3.98309723072242[/C][/ROW]
[ROW][C]260[/C][C]19[/C][C]24.9308648437156[/C][C]-5.93086484371561[/C][/ROW]
[ROW][C]261[/C][C]17[/C][C]39.5326993619368[/C][C]-22.5326993619368[/C][/ROW]
[ROW][C]262[/C][C]67[/C][C]55.1376418113785[/C][C]11.8623581886215[/C][/ROW]
[ROW][C]263[/C][C]14[/C][C]10.4359618620632[/C][C]3.56403813793685[/C][/ROW]
[ROW][C]264[/C][C]30[/C][C]41.3981390057913[/C][C]-11.3981390057913[/C][/ROW]
[ROW][C]265[/C][C]54[/C][C]38.3423091789745[/C][C]15.6576908210255[/C][/ROW]
[ROW][C]266[/C][C]35[/C][C]43.3314116114348[/C][C]-8.33141161143483[/C][/ROW]
[ROW][C]267[/C][C]59[/C][C]55.490644158668[/C][C]3.50935584133202[/C][/ROW]
[ROW][C]268[/C][C]24[/C][C]29.0083961592765[/C][C]-5.00839615927647[/C][/ROW]
[ROW][C]269[/C][C]58[/C][C]48.9849803381698[/C][C]9.01501966183018[/C][/ROW]
[ROW][C]270[/C][C]42[/C][C]47.9774813216559[/C][C]-5.97748132165594[/C][/ROW]
[ROW][C]271[/C][C]46[/C][C]58.4657846027954[/C][C]-12.4657846027953[/C][/ROW]
[ROW][C]272[/C][C]61[/C][C]48.1194792415596[/C][C]12.8805207584404[/C][/ROW]
[ROW][C]273[/C][C]3[/C][C]-1.7334321204463[/C][C]4.7334321204463[/C][/ROW]
[ROW][C]274[/C][C]52[/C][C]51.9446089358527[/C][C]0.0553910641472733[/C][/ROW]
[ROW][C]275[/C][C]25[/C][C]29.6943371436025[/C][C]-4.69433714360245[/C][/ROW]
[ROW][C]276[/C][C]40[/C][C]56.538583896213[/C][C]-16.538583896213[/C][/ROW]
[ROW][C]277[/C][C]32[/C][C]35.5455660835923[/C][C]-3.54556608359231[/C][/ROW]
[ROW][C]278[/C][C]4[/C][C]2.85497976309961[/C][C]1.14502023690039[/C][/ROW]
[ROW][C]279[/C][C]49[/C][C]41.4678994998387[/C][C]7.53210050016125[/C][/ROW]
[ROW][C]280[/C][C]63[/C][C]49.5621957834395[/C][C]13.4378042165605[/C][/ROW]
[ROW][C]281[/C][C]67[/C][C]58.7804434737029[/C][C]8.2195565262971[/C][/ROW]
[ROW][C]282[/C][C]32[/C][C]29.0918725986482[/C][C]2.90812740135182[/C][/ROW]
[ROW][C]283[/C][C]23[/C][C]30.6293262850605[/C][C]-7.62932628506049[/C][/ROW]
[ROW][C]284[/C][C]7[/C][C]7.395645236087[/C][C]-0.395645236087006[/C][/ROW]
[ROW][C]285[/C][C]54[/C][C]43.516969337618[/C][C]10.4830306623821[/C][/ROW]
[ROW][C]286[/C][C]37[/C][C]50.4164787302656[/C][C]-13.4164787302655[/C][/ROW]
[ROW][C]287[/C][C]35[/C][C]31.3934947983688[/C][C]3.60650520163119[/C][/ROW]
[ROW][C]288[/C][C]51[/C][C]45.8129829189191[/C][C]5.18701708108093[/C][/ROW]
[ROW][C]289[/C][C]39[/C][C]47.5789215910394[/C][C]-8.57892159103938[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155003&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155003&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
194101.490714816148-7.49071481614782
210391.10510380527311.894896194727
393126.290540875918-33.2905408759179
410399.9708143837713.02918561622893
55152.993925465286-1.99392546528597
67075.3751644327596-5.37516443275961
79190.53142817961570.46857182038431
82246.1521862141988-24.1521862141988
93833.61467954424264.3853204557574
109382.75409125963310.245908740367
116077.7844357563008-17.7844357563008
12123115.9431974960947.05680250390614
13148139.7852421939358.21475780606466
149079.339205430250310.6607945697497
15124118.7807941275715.21920587242893
1670112.228660419108-42.2286604191078
17168156.85156282853211.1484371714675
18115104.93920075279810.0607992472021
197198.509030555834-27.5090305558341
206674.6455712542827-8.64557125428271
21134124.8295493145539.17045068544732
22117115.0757795596561.92422044034396
2310896.32789030875611.6721096912439
248475.4206023482988.579397651702
25156133.15751200811422.8424879918864
26120109.5075772080810.4924227919202
2711495.220751221545218.7792487784548
2894101.953689766097-7.95368976609657
29120108.59717232587511.4028276741245
308175.04420594081995.95579405918009
31110110.011395717396-0.0113957173956879
32133116.2321916794216.7678083205798
33122123.077048332709-1.07704833270903
34158142.18399139380715.8160086061926
3510989.514714001983419.4852859980166
36124113.07014166079310.929858339207
373941.4077561751066-2.40775617510657
3892100.206341754259-8.20634175425935
39126116.9129518068749.08704819312563
400-6.202145446461916.20214544646191
417089.8442410823032-19.8442410823032
423735.73924972450531.26075027549472
433840.1848659292863-2.1848659292863
44120106.97146428609913.0285357139009
4593106.346509283036-13.3465092830355
4695105.15857836096-10.1585783609597
477765.656193855479611.3438061445204
489080.62606447297599.37393552702411
498083.7444811839296-3.74448118392957
503123.39710552756027.60289447243984
51110116.726625077031-6.72662507703092
526658.35779182617887.64220817382124
53138123.53408870417814.4659112958221
54133133.617311136542-0.617311136542238
55113100.97954312506512.0204568749353
56100100.13441089047-0.134410890470209
5773.225042153157253.77495784684275
58140125.63098852332514.369011476675
596152.51169741488878.4883025851113
604141.312219841929-0.312219841929049
619692.09315463463333.90684536536673
62164143.81558045567520.1844195443248
637876.59370375344531.40629624655472
644946.6109285145012.38907148549904
6510296.90661729836355.09338270163649
66124110.19991000786613.8000899921344
679998.98503039275230.0149696072476508
68129134.014940008137-5.01494000813699
696281.7890746751082-19.7890746751082
7073117.557523423561-44.5575234235608
71114105.6369159656918.36308403430862
729991.36547938552927.63452061447082
737083.8600381244564-13.8600381244564
7410488.869002457336115.1309975426639
75116114.7872479089651.21275209103526
769195.2101502715271-4.21015027152713
777478.2102523265038-4.21025232650377
78138135.2141548677862.7858451322144
796769.3599995583161-2.35999955831615
80151131.17761224523919.8223877547605
817286.9729834376227-14.9729834376227
82120111.3110675541478.68893244585298
83115116.055780287055-1.05578028705452
8410595.64406991032589.35593008967417
85104110.364963999772-6.36496399977172
8610899.39055481185538.60944518814471
879897.47700288229750.522997117702503
886968.61385433722240.386145662777576
89111131.526375640941-20.5263756409408
909979.4099392379419.5900607620599
917168.73222452685722.26777547314276
922721.91310772993185.08689227006823
936968.71269817663220.287301823367796
9410792.743070782507214.2569292174928
957363.09749577214519.90250422785494
9610795.13044664292711.869553357073
9793127.234080180579-34.2340801805791
98129118.68936979262410.3106302073763
9969100.483909865363-31.4839098653634
100118109.4675283276568.53247167234406
1017377.0414203113424-4.04142031134236
102119106.63521932600612.3647806739938
10310497.39413198549986.60586801450019
10410791.323033555638715.6769664443613
1059985.563708748243413.4362912517566
10690105.211313980233-15.2113139802331
107197172.89436460052524.1056353994754
1083659.973669678437-23.9736696784371
1098592.8509023642362-7.85090236423616
110139136.8009261126372.19907388736349
111106111.060983408537-5.06098340853741
1125094.0278624177424-44.0278624177424
1136453.485191419961810.5148085800382
1143166.5337016623687-35.5337016623687
1156393.6233235908352-30.6233235908352
11692102.655014489833-10.6550144898334
117106112.337632758215-6.33763275821513
1186363.5532145299364-0.55321452993643
1196970.1776555004745-1.1776555004745
1204131.86427087886179.13572912113827
1215664.2462241893032-8.24622418930324
1222525.0899239060238-0.0899239060238171
1236558.0472045130156.95279548698496
1249397.361810445063-4.36181044506299
125114100.30147569660613.6985243033938
1263832.71035922513695.28964077486306
1274440.72071912071723.27928087928281
1288772.428419605675414.5715803943246
129110134.278346750231-24.2783467502308
1300-5.132125758600875.13212575860087
1312726.37687879714810.623121202851864
13283103.568395016195-20.5683950161951
1333023.64549087088136.35450912911869
1348077.32000452738872.6799954726113
13598110.295760779975-12.2957607799745
13682106.216777786309-24.2167777863086
1370-5.435466999738815.43546699973881
1386077.4391374132116-17.4391374132116
1392823.13108857282254.86891142717753
140914.2924145299485-5.29241452994852
1413336.2477297554755-3.24772975547546
1425962.2986029914065-3.29860299140649
1434952.8706059303985-3.87060593039851
144115107.8565459686897.14345403131068
145140127.09837742885212.9016225711482
1464952.2009789546145-3.20097895461447
147120118.3300808320241.66991916797649
1486665.9356919924980.0643080075019415
1492116.13789449042764.86210550957241
150124105.61278221359718.3872177864028
151152137.41593930119814.5840606988018
152139131.1353782230217.8646217769794
1533843.2236887559232-5.22368875592324
154144142.3597273333531.64027266664735
155120129.772582373303-9.77258237330305
156160152.1167869046017.88321309539895
15711497.088555421837516.9114445781625
1583938.7776175945250.222382405475027
1597878.404855695424-0.404855695424039
160119100.52745346437618.4725465356236
161141131.3509475815289.6490524184717
16210191.10723633544139.89276366455872
1635644.954728947492511.0452710525075
164133117.27415082263915.7258491773613
1658384.767329998217-1.76732999821702
166116110.4402631989965.55973680100412
1679094.643109616607-4.64310961660705
1683682.3439973092466-46.3439973092466
1695060.5694618699064-10.5694618699064
1706161.68324309881-0.683243098810043
17197109.626524423449-12.6265244234492
17298101.193915730535-3.19391573053514
1737864.822909527367113.1770904726329
174117137.100974478281-20.1009744782806
175148134.79134667588213.2086533241178
1764139.83639566586161.16360433413835
17710598.61412634227536.38587365772475
1785554.61165086132320.388349138676828
179132125.0356119662756.96438803372487
1804440.40050706502673.59949293497333
1812122.9662740314662-1.96627403146616
1825054.5156764980708-4.51567649807077
1830-5.333479237854245.33347923785424
1847388.8411418047306-15.8411418047306
18586128.761817771907-42.7618177719073
1860-5.226039983349045.22603998334904
187136.505222236946746.49477776305326
1884-2.327960194946516.32796019494651
1895752.30680870206324.69319129793679
1904884.0010208635686-36.0010208635686
1914668.7579968926466-22.7579968926466
1924850.2984777430406-2.29847774304062
1933233.8929204155252-1.89292041552522
1946862.40262442391215.59737557608789
1958772.169986462999414.8300135370006
1964342.45633605260730.543663947392686
1976755.751609748411411.2483902515886
1984638.53691438810717.4630856118929
1994651.4758312544059-5.47583125440586
2005645.771343889790110.2286561102099
2014846.34163330469911.65836669530086
2024452.6475327927345-8.64753279273454
2036048.926234340215911.0737656597841
2046553.361461369721111.6385386302789
2055556.451506268858-1.451506268858
2063854.163513061885-16.163513061885
2075247.18220999789314.8177900021069
2086049.89850386346310.101496136537
2095452.46984570896721.53015429103276
2108670.99363139044615.006368609554
2112425.5644736901339-1.56447369013387
2125251.04994756197550.950052438024508
2134950.1490543047165-1.14905430471647
2146149.307060509758811.6929394902412
2156169.8081882930496-8.80818829304958
2168165.737061989173315.2629380108267
2174338.16557893045754.83442106954248
2184039.6919417069310.308058293068981
2194048.9304366512931-8.93043665129307
2205644.804061846647511.1959381533525
2216856.832089796107811.1679102038922
2227972.38104054577196.6189594542281
2234754.7653073767792-7.76530737677925
2245753.89051820205793.10948179794208
2254148.3730031753035-7.37300317530346
2262942.1821780540441-13.1821780540441
227318.145959209697-15.145959209697
2286052.37654816973017.62345183026987
2293028.77746493871651.22253506128345
2307968.952294530784110.0477054692159
2314746.24173635113730.758263648862684
2324042.2106999663055-2.21069996630548
2334843.92236462364764.07763537635243
2343642.4459147869532-6.44591478695317
2354256.3895129941296-14.3895129941296
2364951.602849740064-2.60284974006404
2375757.6497379422781-0.649737942278063
2381249.4324275467764-37.4324275467764
2394048.6388898803548-8.63888988035476
2404344.9742016260756-1.97420162607564
2413344.4900458780317-11.4900458780316
2427765.367672898670211.6323271013298
2434348.5333938595801-5.53339385958014
2444542.38373520622832.61626479377168
2454739.35695168524737.6430483147527
2464351.6877522570206-8.68775225702058
2474547.431305714031-2.43130571403101
2485043.6956101124696.30438988753098
2493529.93451672771595.06548327228405
250712.7571405466744-5.75714054667443
2517165.20808606768145.79191393231863
2526764.55801014515642.44198985484356
2530-2.629509289381712.62950928938171
2546254.75817537064227.24182462935784
2555443.428705816157110.5712941838429
25646.70873578842349-2.70873578842349
2572520.71151089710344.28848910289658
2584047.5835879442192-7.5835879442192
2593841.9830972307224-3.98309723072242
2601924.9308648437156-5.93086484371561
2611739.5326993619368-22.5326993619368
2626755.137641811378511.8623581886215
2631410.43596186206323.56403813793685
2643041.3981390057913-11.3981390057913
2655438.342309178974515.6576908210255
2663543.3314116114348-8.33141161143483
2675955.4906441586683.50935584133202
2682429.0083961592765-5.00839615927647
2695848.98498033816989.01501966183018
2704247.9774813216559-5.97748132165594
2714658.4657846027954-12.4657846027953
2726148.119479241559612.8805207584404
2733-1.73343212044634.7334321204463
2745251.94460893585270.0553910641472733
2752529.6943371436025-4.69433714360245
2764056.538583896213-16.538583896213
2773235.5455660835923-3.54556608359231
27842.854979763099611.14502023690039
2794941.46789949983877.53210050016125
2806349.562195783439513.4378042165605
2816758.78044347370298.2195565262971
2823229.09187259864822.90812740135182
2832330.6293262850605-7.62932628506049
28477.395645236087-0.395645236087006
2855443.51696933761810.4830306623821
2863750.4164787302656-13.4164787302655
2873531.39349479836883.60650520163119
2885145.81298291891915.18701708108093
2893947.5789215910394-8.57892159103938






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
130.9472777918385530.1054444163228940.0527222081614469
140.925257464559370.1494850708812590.0747425354406296
150.8831698791095160.2336602417809690.116830120890484
160.9672373362691160.0655253274617670.0327626637308835
170.9475101381741820.1049797236516370.0524898618258183
180.9817433768291230.03651324634175360.0182566231708768
190.995003814106340.009992371787318680.00499618589365934
200.9927065421840480.0145869156319040.007293457815952
210.9916353469826580.0167293060346840.00836465301734201
220.9869919594261980.02601608114760360.0130080405738018
230.9858651604713640.02826967905727190.014134839528636
240.983005548918680.03398890216264040.0169944510813202
250.9925397331445220.01492053371095590.00746026685547797
260.9894577312932280.02108453741354390.0105422687067719
270.9931949585242820.01361008295143660.0068050414757183
280.9896867658604490.02062646827910270.0103132341395513
290.9859942145975780.02801157080484430.0140057854024222
300.9803351592492380.03932968150152430.0196648407507621
310.9764016735901190.04719665281976190.023598326409881
320.9760230065651950.04795398686961090.0239769934348054
330.9666071334437920.06678573311241670.0333928665562084
340.9587379786632810.08252404267343760.0412620213367188
350.9672415073030050.0655169853939910.0327584926969955
360.959671208155170.08065758368965840.0403287918448292
370.9464827741083660.1070344517832690.0535172258916345
380.9470907849438870.1058184301122260.0529092150561129
390.9366310165314630.1267379669370740.0633689834685372
400.92768149485010.1446370102997980.072318505149899
410.9440973657408310.1118052685183380.0559026342591692
420.9282018474232160.1435963051535680.0717981525767839
430.9093455018267680.1813089963464640.090654498173232
440.9015546357830140.1968907284339720.0984453642169858
450.8888813862915010.2222372274169980.111118613708499
460.871176595753530.257646808492940.12882340424647
470.8672919013033530.2654161973932940.132708098696647
480.865981204726850.2680375905462980.134018795273149
490.8394180245055020.3211639509889950.160581975494498
500.8165668189808540.3668663620382920.183433181019146
510.805554996386770.388890007226460.19444500361323
520.78562084333710.42875831332580.2143791566629
530.7644195358910980.4711609282178030.235580464108902
540.7273443827352650.545311234529470.272655617264735
550.7078181379163050.584363724167390.292181862083695
560.6752141642455180.6495716715089650.324785835754482
570.6405703508648190.7188592982703620.359429649135181
580.6496325351143520.7007349297712970.350367464885648
590.6539647817089130.6920704365821740.346035218291087
600.6125438464409470.7749123071181060.387456153559053
610.5740151318236950.851969736352610.425984868176305
620.6062699931369660.7874600137260670.393730006863034
630.5705528972616280.8588942054767450.429447102738372
640.5302971351435810.9394057297128390.469702864856419
650.4897270762283690.9794541524567390.510272923771631
660.467384883150130.934769766300260.53261511684987
670.4386273935383160.8772547870766310.561372606461684
680.407926432507890.815852865015780.59207356749211
690.4524602327870360.9049204655740730.547539767212964
700.7776677375973940.4446645248052130.222332262402606
710.7897375662327460.4205248675345070.210262433767254
720.771419831710370.4571603365792590.22858016828963
730.8067260155119240.3865479689761520.193273984488076
740.8108074558129650.378385088374070.189192544187035
750.7831670712298640.4336658575402720.216832928770136
760.7681704273493210.4636591453013570.231829572650679
770.7469199729527120.5061600540945760.253080027047288
780.7321929631955510.5356140736088980.267807036804449
790.704135360196460.591729279607080.29586463980354
800.750721330032380.498557339935240.24927866996762
810.7665065725754750.466986854849050.233493427424525
820.7434272757340710.5131454485318580.256572724265929
830.7124179325074220.5751641349851550.287582067492578
840.696096729139660.607806541720680.30390327086034
850.6776467968310890.6447064063378220.322353203168911
860.6523754855996860.6952490288006280.347624514400314
870.621557537292810.756884925414380.37844246270719
880.5852385579370650.829522884125870.414761442062935
890.6770558319307780.6458883361384450.322944168069222
900.7375816792468050.524836641506390.262418320753195
910.736112785630830.527774428738340.26388721436917
920.7111077338410310.5777845323179380.288892266158969
930.6796661602427260.6406676795145480.320333839757274
940.6852900209274570.6294199581450870.314709979072543
950.6677449502817070.6645100994365870.332255049718293
960.6539582040046290.6920835919907430.346041795995371
970.8513927929787590.2972144140424830.148607207021241
980.84793621466680.3041275706663990.152063785333199
990.9305042552419130.1389914895161740.0694957447580869
1000.9242690859624980.1514618280750040.0757309140375021
1010.9118944717733380.1762110564533250.0881055282266624
1020.9118031923041550.176393615391690.0881968076958452
1030.902855041844910.1942899163101790.0971449581550897
1040.9094774939033090.1810450121933830.0905225060966914
1050.9117890906354250.176421818729150.0882109093645749
1060.9234289993324890.1531420013350220.0765710006675108
1070.9543703431835870.09125931363282550.0456296568164127
1080.9717294671858670.05654106562826540.0282705328141327
1090.9665696692991960.06686066140160770.0334303307008039
1100.960574227963840.07885154407231840.0394257720361592
1110.954525645004470.09094870999106210.0454743549955311
1120.9961621721263060.007675655747388570.00383782787369429
1130.9958730745854030.008253850829193720.00412692541459686
1140.9992550726437920.001489854712416970.000744927356208483
1150.9998132400103890.0003735199792223050.000186759989611152
1160.9997966998272020.0004066003455954190.00020330017279771
1170.9997412699123530.0005174601752936380.000258730087646819
1180.9996458047472230.0007083905055536650.000354195252776832
1190.9995156733900630.0009686532198737380.000484326609936869
1200.9994710594229620.001057881154076380.000528940577038192
1210.9993542222081440.001291555583712750.000645777791856375
1220.9991325420336830.00173491593263490.000867457966317449
1230.9989096011735360.002180797652928150.00109039882646407
1240.9985948906225040.002810218754992320.00140510937749616
1250.9986727249466180.002654550106764060.00132727505338203
1260.9983431145137050.003313770972589010.00165688548629451
1270.9978586147420980.004282770515804070.00214138525790203
1280.9981110655925690.003777868814862440.00188893440743122
1290.9989238087803860.00215238243922720.0010761912196136
1300.998639448104340.002721103791318910.00136055189565946
1310.9981991996324470.003601600735106270.00180080036755314
1320.9987589543671930.002482091265613430.00124104563280672
1330.998503321903390.00299335619321970.00149667809660985
1340.998045455420840.00390908915832150.00195454457916075
1350.997969009231890.004061981536221360.00203099076811068
1360.9990419602715420.001916079456916350.000958039728458175
1370.9987829464210010.002434107157997260.00121705357899863
1380.999088559129270.001822881741460290.000911440870730144
1390.998878930423150.002242139153699330.00112106957684966
1400.9985794859468280.002841028106344120.00142051405317206
1410.9981566253362120.00368674932757510.00184337466378755
1420.997607875443410.004784249113178360.00239212455658918
1430.9970442279832690.005911544033462550.00295577201673127
1440.996427400159710.007145199680579420.00357259984028971
1450.9965903242086940.00681935158261280.0034096757913064
1460.9956716410363080.008656717927383130.00432835896369156
1470.994477087760240.01104582447951960.00552291223975979
1480.9929629089350320.01407418212993540.00703709106496771
1490.991276102135430.01744779572913890.00872389786456944
1500.9934775717978160.01304485640436780.0065224282021839
1510.9939730008449470.01205399831010590.00602699915505295
1520.9932550238875230.01348995222495390.00674497611247697
1530.9917122086445040.01657558271099270.00828779135549637
1540.9896835394380130.0206329211239740.010316460561987
1550.9891533216651030.02169335666979410.0108466783348971
1560.9879866447622650.02402671047546910.0120133552377346
1570.9902703549689810.01945929006203790.00972964503101893
1580.9878906516683240.02421869666335170.0121093483316759
1590.9850199715101480.0299600569797040.014980028489852
1600.9879556849759230.02408863004815430.0120443150240772
1610.9881906935790930.02361861284181340.0118093064209067
1620.9897215958104570.02055680837908640.0102784041895432
1630.9899564139222240.02008717215555210.0100435860777761
1640.991798315354030.01640336929194150.00820168464597076
1650.9903467384478490.01930652310430240.00965326155215122
1660.9890103041456770.02197939170864580.0109896958543229
1670.9864311370172240.02713772596555190.0135688629827759
1680.9994780814012070.001043837197586450.000521918598793224
1690.9994039929541770.001192014091646080.00059600704582304
1700.999186348535680.001627302928639070.000813651464319534
1710.999081052095120.001837895809759010.000918947904879503
1720.9987678987746250.002464202450750140.00123210122537507
1730.9990873232328060.001825353534387520.00091267676719376
1740.9992110818117820.001577836376436320.000788918188218158
1750.9995081345816390.0009837308367218090.000491865418360904
1760.9993311418418870.001337716316227030.000668858158113514
1770.9994329143645650.001134171270870480.00056708563543524
1780.9992200577768080.001559884446383790.000779942223191893
1790.9997451991636750.0005096016726497630.000254800836324881
1800.9996835628844270.0006328742311462410.00031643711557312
1810.9995636911848630.0008726176302743160.000436308815137158
1820.9994012276735740.001197544652851260.00059877232642563
1830.9991962530651850.001607493869629250.000803746934814623
1840.9990899039756070.001820192048786710.000910096024393355
1850.9999691207879316.17584241372389e-053.08792120686194e-05
1860.9999563045064078.73909871861563e-054.36954935930782e-05
1870.9999438177673390.0001123644653226915.61822326613456e-05
1880.9999222538358550.0001554923282896917.77461641448456e-05
1890.9998892106262330.0002215787475343480.000110789373767174
1900.9999903016560641.93966878728713e-059.69834393643565e-06
1910.9999979835810844.03283783176475e-062.01641891588238e-06
1920.9999971542774655.69144507047712e-062.84572253523856e-06
1930.9999955376658198.92466836231908e-064.46233418115954e-06
1940.9999976380806744.72383865267201e-062.361919326336e-06
1950.9999971220529355.75589413019197e-062.87794706509599e-06
1960.9999954161035839.16779283361908e-064.58389641680954e-06
1970.9999946469104851.07061790294643e-055.35308951473213e-06
1980.9999927161582321.45676835353148e-057.28384176765742e-06
1990.999990831249431.83375011398825e-059.16875056994124e-06
2000.9999890653864422.18692271159495e-051.09346135579747e-05
2010.999982924618633.41507627400612e-051.70753813700306e-05
2020.9999747052225535.05895548941371e-052.52947774470685e-05
2030.9999660904317046.78191365913647e-053.39095682956824e-05
2040.9999619789469647.60421060718577e-053.80210530359289e-05
2050.99994426068290.0001114786341994745.5739317099737e-05
2060.9999635294735937.2941052813977e-053.64705264069885e-05
2070.9999467444203310.0001065111593377965.32555796688978e-05
2080.9999229987721750.0001540024556497047.70012278248519e-05
2090.9998889724797260.0002220550405488750.000111027520274437
2100.9998791766110840.0002416467778318980.000120823388915949
2110.9998189969983330.0003620060033349690.000181003001667485
2120.9997330803758960.0005338392482083030.000266919624104151
2130.9996053353293930.0007893293412142420.000394664670607121
2140.9995251024051970.000949795189606580.00047489759480329
2150.999390093339680.00121981332064010.000609906660320051
2160.999575137215070.000849725569861580.00042486278493079
2170.9994620781014250.001075843797149930.000537921898574966
2180.9993608120651920.001278375869616110.000639187934808056
2190.999171623180080.001656753639841420.000828376819920709
2200.9990273275983480.001945344803304940.000972672401652469
2210.9989687266408680.002062546718264690.00103127335913234
2220.999079032359380.001841935281239830.000920967640619915
2230.998704841157910.002590317684179060.00129515884208953
2240.9981889722249620.003622055550075910.00181102777503796
2250.9976202463940330.004759507211934310.00237975360596715
2260.9977618770975770.004476245804845540.00223812290242277
2270.9986720801111530.002655839777693750.00132791988884688
2280.9985325190901420.002934961819715450.00146748090985772
2290.998106121768310.003787756463379920.00189387823168996
2300.999194087750010.001611824499979380.000805912249989689
2310.9990887574599980.001822485080003430.000911242540001713
2320.9986269632380930.00274607352381470.00137303676190735
2330.9984273276933550.003145344613290530.00157267230664526
2340.9976895420217310.004620915956537760.00231045797826888
2350.9975919206279610.004816158744077340.00240807937203867
2360.9964603875028230.007079224994353380.00353961249717669
2370.996364562135520.007270875728960560.00363543786448028
2380.999923314266110.0001533714677801937.66857338900964e-05
2390.9998876444947520.0002247110104963170.000112355505248159
2400.9998085435517830.0003829128964336610.000191456448216831
2410.9998655470682730.0002689058634544270.000134452931727213
2420.9998440677012490.0003118645975024450.000155932298751222
2430.9997442932180270.0005114135639464140.000255706781973207
2440.9996204949363150.000759010127370890.000379505063685445
2450.9994746574675220.00105068506495520.000525342532477598
2460.9993931976699030.001213604660194510.000606802330097257
2470.99904683400870.001906331982599220.000953165991299612
2480.998440151926870.003119696146258240.00155984807312912
2490.9974758565074570.00504828698508690.00252414349254345
2500.9965601122636150.006879775472770490.00343988773638524
2510.9945790300065320.01084193998693690.00542096999346844
2520.9915647370604420.0168705258791150.0084352629395575
2530.9870884198264050.025823160347190.012911580173595
2540.984114677540340.03177064491931890.0158853224596595
2550.9858251772552580.02834964548948440.0141748227447422
2560.9797747634857120.04045047302857660.0202252365142883
2570.973587493368820.052825013262360.02641250663118
2580.975192720868570.04961455826286160.0248072791314308
2590.9641292518235280.07174149635294440.0358707481764722
2600.9579110498210030.08417790035799470.0420889501789973
2610.9906816785063370.01863664298732650.00931832149366326
2620.9891609804009360.02167803919812790.0108390195990639
2630.9825887832802060.03482243343958770.0174112167197938
2640.9809076618972360.03818467620552890.0190923381027645
2650.9875482203557970.02490355928840640.0124517796442032
2660.9912280081196470.01754398376070570.00877199188035287
2670.9841946277003010.03161074459939720.0158053722996986
2680.9769456483418260.04610870331634780.0230543516581739
2690.9764928953894420.04701420922111610.0235071046105581
2700.9630376590587640.07392468188247280.0369623409412364
2710.9407329614848740.1185340770302520.0592670385151262
2720.909054824794690.181890350410620.09094517520531
2730.8424740489918140.3150519020163720.157525951008186
2740.8395946713408840.3208106573182320.160405328659116
2750.8025508977724760.3948982044550480.197449102227524
2760.7181362630064230.5637274739871540.281863736993577

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
13 & 0.947277791838553 & 0.105444416322894 & 0.0527222081614469 \tabularnewline
14 & 0.92525746455937 & 0.149485070881259 & 0.0747425354406296 \tabularnewline
15 & 0.883169879109516 & 0.233660241780969 & 0.116830120890484 \tabularnewline
16 & 0.967237336269116 & 0.065525327461767 & 0.0327626637308835 \tabularnewline
17 & 0.947510138174182 & 0.104979723651637 & 0.0524898618258183 \tabularnewline
18 & 0.981743376829123 & 0.0365132463417536 & 0.0182566231708768 \tabularnewline
19 & 0.99500381410634 & 0.00999237178731868 & 0.00499618589365934 \tabularnewline
20 & 0.992706542184048 & 0.014586915631904 & 0.007293457815952 \tabularnewline
21 & 0.991635346982658 & 0.016729306034684 & 0.00836465301734201 \tabularnewline
22 & 0.986991959426198 & 0.0260160811476036 & 0.0130080405738018 \tabularnewline
23 & 0.985865160471364 & 0.0282696790572719 & 0.014134839528636 \tabularnewline
24 & 0.98300554891868 & 0.0339889021626404 & 0.0169944510813202 \tabularnewline
25 & 0.992539733144522 & 0.0149205337109559 & 0.00746026685547797 \tabularnewline
26 & 0.989457731293228 & 0.0210845374135439 & 0.0105422687067719 \tabularnewline
27 & 0.993194958524282 & 0.0136100829514366 & 0.0068050414757183 \tabularnewline
28 & 0.989686765860449 & 0.0206264682791027 & 0.0103132341395513 \tabularnewline
29 & 0.985994214597578 & 0.0280115708048443 & 0.0140057854024222 \tabularnewline
30 & 0.980335159249238 & 0.0393296815015243 & 0.0196648407507621 \tabularnewline
31 & 0.976401673590119 & 0.0471966528197619 & 0.023598326409881 \tabularnewline
32 & 0.976023006565195 & 0.0479539868696109 & 0.0239769934348054 \tabularnewline
33 & 0.966607133443792 & 0.0667857331124167 & 0.0333928665562084 \tabularnewline
34 & 0.958737978663281 & 0.0825240426734376 & 0.0412620213367188 \tabularnewline
35 & 0.967241507303005 & 0.065516985393991 & 0.0327584926969955 \tabularnewline
36 & 0.95967120815517 & 0.0806575836896584 & 0.0403287918448292 \tabularnewline
37 & 0.946482774108366 & 0.107034451783269 & 0.0535172258916345 \tabularnewline
38 & 0.947090784943887 & 0.105818430112226 & 0.0529092150561129 \tabularnewline
39 & 0.936631016531463 & 0.126737966937074 & 0.0633689834685372 \tabularnewline
40 & 0.9276814948501 & 0.144637010299798 & 0.072318505149899 \tabularnewline
41 & 0.944097365740831 & 0.111805268518338 & 0.0559026342591692 \tabularnewline
42 & 0.928201847423216 & 0.143596305153568 & 0.0717981525767839 \tabularnewline
43 & 0.909345501826768 & 0.181308996346464 & 0.090654498173232 \tabularnewline
44 & 0.901554635783014 & 0.196890728433972 & 0.0984453642169858 \tabularnewline
45 & 0.888881386291501 & 0.222237227416998 & 0.111118613708499 \tabularnewline
46 & 0.87117659575353 & 0.25764680849294 & 0.12882340424647 \tabularnewline
47 & 0.867291901303353 & 0.265416197393294 & 0.132708098696647 \tabularnewline
48 & 0.86598120472685 & 0.268037590546298 & 0.134018795273149 \tabularnewline
49 & 0.839418024505502 & 0.321163950988995 & 0.160581975494498 \tabularnewline
50 & 0.816566818980854 & 0.366866362038292 & 0.183433181019146 \tabularnewline
51 & 0.80555499638677 & 0.38889000722646 & 0.19444500361323 \tabularnewline
52 & 0.7856208433371 & 0.4287583133258 & 0.2143791566629 \tabularnewline
53 & 0.764419535891098 & 0.471160928217803 & 0.235580464108902 \tabularnewline
54 & 0.727344382735265 & 0.54531123452947 & 0.272655617264735 \tabularnewline
55 & 0.707818137916305 & 0.58436372416739 & 0.292181862083695 \tabularnewline
56 & 0.675214164245518 & 0.649571671508965 & 0.324785835754482 \tabularnewline
57 & 0.640570350864819 & 0.718859298270362 & 0.359429649135181 \tabularnewline
58 & 0.649632535114352 & 0.700734929771297 & 0.350367464885648 \tabularnewline
59 & 0.653964781708913 & 0.692070436582174 & 0.346035218291087 \tabularnewline
60 & 0.612543846440947 & 0.774912307118106 & 0.387456153559053 \tabularnewline
61 & 0.574015131823695 & 0.85196973635261 & 0.425984868176305 \tabularnewline
62 & 0.606269993136966 & 0.787460013726067 & 0.393730006863034 \tabularnewline
63 & 0.570552897261628 & 0.858894205476745 & 0.429447102738372 \tabularnewline
64 & 0.530297135143581 & 0.939405729712839 & 0.469702864856419 \tabularnewline
65 & 0.489727076228369 & 0.979454152456739 & 0.510272923771631 \tabularnewline
66 & 0.46738488315013 & 0.93476976630026 & 0.53261511684987 \tabularnewline
67 & 0.438627393538316 & 0.877254787076631 & 0.561372606461684 \tabularnewline
68 & 0.40792643250789 & 0.81585286501578 & 0.59207356749211 \tabularnewline
69 & 0.452460232787036 & 0.904920465574073 & 0.547539767212964 \tabularnewline
70 & 0.777667737597394 & 0.444664524805213 & 0.222332262402606 \tabularnewline
71 & 0.789737566232746 & 0.420524867534507 & 0.210262433767254 \tabularnewline
72 & 0.77141983171037 & 0.457160336579259 & 0.22858016828963 \tabularnewline
73 & 0.806726015511924 & 0.386547968976152 & 0.193273984488076 \tabularnewline
74 & 0.810807455812965 & 0.37838508837407 & 0.189192544187035 \tabularnewline
75 & 0.783167071229864 & 0.433665857540272 & 0.216832928770136 \tabularnewline
76 & 0.768170427349321 & 0.463659145301357 & 0.231829572650679 \tabularnewline
77 & 0.746919972952712 & 0.506160054094576 & 0.253080027047288 \tabularnewline
78 & 0.732192963195551 & 0.535614073608898 & 0.267807036804449 \tabularnewline
79 & 0.70413536019646 & 0.59172927960708 & 0.29586463980354 \tabularnewline
80 & 0.75072133003238 & 0.49855733993524 & 0.24927866996762 \tabularnewline
81 & 0.766506572575475 & 0.46698685484905 & 0.233493427424525 \tabularnewline
82 & 0.743427275734071 & 0.513145448531858 & 0.256572724265929 \tabularnewline
83 & 0.712417932507422 & 0.575164134985155 & 0.287582067492578 \tabularnewline
84 & 0.69609672913966 & 0.60780654172068 & 0.30390327086034 \tabularnewline
85 & 0.677646796831089 & 0.644706406337822 & 0.322353203168911 \tabularnewline
86 & 0.652375485599686 & 0.695249028800628 & 0.347624514400314 \tabularnewline
87 & 0.62155753729281 & 0.75688492541438 & 0.37844246270719 \tabularnewline
88 & 0.585238557937065 & 0.82952288412587 & 0.414761442062935 \tabularnewline
89 & 0.677055831930778 & 0.645888336138445 & 0.322944168069222 \tabularnewline
90 & 0.737581679246805 & 0.52483664150639 & 0.262418320753195 \tabularnewline
91 & 0.73611278563083 & 0.52777442873834 & 0.26388721436917 \tabularnewline
92 & 0.711107733841031 & 0.577784532317938 & 0.288892266158969 \tabularnewline
93 & 0.679666160242726 & 0.640667679514548 & 0.320333839757274 \tabularnewline
94 & 0.685290020927457 & 0.629419958145087 & 0.314709979072543 \tabularnewline
95 & 0.667744950281707 & 0.664510099436587 & 0.332255049718293 \tabularnewline
96 & 0.653958204004629 & 0.692083591990743 & 0.346041795995371 \tabularnewline
97 & 0.851392792978759 & 0.297214414042483 & 0.148607207021241 \tabularnewline
98 & 0.8479362146668 & 0.304127570666399 & 0.152063785333199 \tabularnewline
99 & 0.930504255241913 & 0.138991489516174 & 0.0694957447580869 \tabularnewline
100 & 0.924269085962498 & 0.151461828075004 & 0.0757309140375021 \tabularnewline
101 & 0.911894471773338 & 0.176211056453325 & 0.0881055282266624 \tabularnewline
102 & 0.911803192304155 & 0.17639361539169 & 0.0881968076958452 \tabularnewline
103 & 0.90285504184491 & 0.194289916310179 & 0.0971449581550897 \tabularnewline
104 & 0.909477493903309 & 0.181045012193383 & 0.0905225060966914 \tabularnewline
105 & 0.911789090635425 & 0.17642181872915 & 0.0882109093645749 \tabularnewline
106 & 0.923428999332489 & 0.153142001335022 & 0.0765710006675108 \tabularnewline
107 & 0.954370343183587 & 0.0912593136328255 & 0.0456296568164127 \tabularnewline
108 & 0.971729467185867 & 0.0565410656282654 & 0.0282705328141327 \tabularnewline
109 & 0.966569669299196 & 0.0668606614016077 & 0.0334303307008039 \tabularnewline
110 & 0.96057422796384 & 0.0788515440723184 & 0.0394257720361592 \tabularnewline
111 & 0.95452564500447 & 0.0909487099910621 & 0.0454743549955311 \tabularnewline
112 & 0.996162172126306 & 0.00767565574738857 & 0.00383782787369429 \tabularnewline
113 & 0.995873074585403 & 0.00825385082919372 & 0.00412692541459686 \tabularnewline
114 & 0.999255072643792 & 0.00148985471241697 & 0.000744927356208483 \tabularnewline
115 & 0.999813240010389 & 0.000373519979222305 & 0.000186759989611152 \tabularnewline
116 & 0.999796699827202 & 0.000406600345595419 & 0.00020330017279771 \tabularnewline
117 & 0.999741269912353 & 0.000517460175293638 & 0.000258730087646819 \tabularnewline
118 & 0.999645804747223 & 0.000708390505553665 & 0.000354195252776832 \tabularnewline
119 & 0.999515673390063 & 0.000968653219873738 & 0.000484326609936869 \tabularnewline
120 & 0.999471059422962 & 0.00105788115407638 & 0.000528940577038192 \tabularnewline
121 & 0.999354222208144 & 0.00129155558371275 & 0.000645777791856375 \tabularnewline
122 & 0.999132542033683 & 0.0017349159326349 & 0.000867457966317449 \tabularnewline
123 & 0.998909601173536 & 0.00218079765292815 & 0.00109039882646407 \tabularnewline
124 & 0.998594890622504 & 0.00281021875499232 & 0.00140510937749616 \tabularnewline
125 & 0.998672724946618 & 0.00265455010676406 & 0.00132727505338203 \tabularnewline
126 & 0.998343114513705 & 0.00331377097258901 & 0.00165688548629451 \tabularnewline
127 & 0.997858614742098 & 0.00428277051580407 & 0.00214138525790203 \tabularnewline
128 & 0.998111065592569 & 0.00377786881486244 & 0.00188893440743122 \tabularnewline
129 & 0.998923808780386 & 0.0021523824392272 & 0.0010761912196136 \tabularnewline
130 & 0.99863944810434 & 0.00272110379131891 & 0.00136055189565946 \tabularnewline
131 & 0.998199199632447 & 0.00360160073510627 & 0.00180080036755314 \tabularnewline
132 & 0.998758954367193 & 0.00248209126561343 & 0.00124104563280672 \tabularnewline
133 & 0.99850332190339 & 0.0029933561932197 & 0.00149667809660985 \tabularnewline
134 & 0.99804545542084 & 0.0039090891583215 & 0.00195454457916075 \tabularnewline
135 & 0.99796900923189 & 0.00406198153622136 & 0.00203099076811068 \tabularnewline
136 & 0.999041960271542 & 0.00191607945691635 & 0.000958039728458175 \tabularnewline
137 & 0.998782946421001 & 0.00243410715799726 & 0.00121705357899863 \tabularnewline
138 & 0.99908855912927 & 0.00182288174146029 & 0.000911440870730144 \tabularnewline
139 & 0.99887893042315 & 0.00224213915369933 & 0.00112106957684966 \tabularnewline
140 & 0.998579485946828 & 0.00284102810634412 & 0.00142051405317206 \tabularnewline
141 & 0.998156625336212 & 0.0036867493275751 & 0.00184337466378755 \tabularnewline
142 & 0.99760787544341 & 0.00478424911317836 & 0.00239212455658918 \tabularnewline
143 & 0.997044227983269 & 0.00591154403346255 & 0.00295577201673127 \tabularnewline
144 & 0.99642740015971 & 0.00714519968057942 & 0.00357259984028971 \tabularnewline
145 & 0.996590324208694 & 0.0068193515826128 & 0.0034096757913064 \tabularnewline
146 & 0.995671641036308 & 0.00865671792738313 & 0.00432835896369156 \tabularnewline
147 & 0.99447708776024 & 0.0110458244795196 & 0.00552291223975979 \tabularnewline
148 & 0.992962908935032 & 0.0140741821299354 & 0.00703709106496771 \tabularnewline
149 & 0.99127610213543 & 0.0174477957291389 & 0.00872389786456944 \tabularnewline
150 & 0.993477571797816 & 0.0130448564043678 & 0.0065224282021839 \tabularnewline
151 & 0.993973000844947 & 0.0120539983101059 & 0.00602699915505295 \tabularnewline
152 & 0.993255023887523 & 0.0134899522249539 & 0.00674497611247697 \tabularnewline
153 & 0.991712208644504 & 0.0165755827109927 & 0.00828779135549637 \tabularnewline
154 & 0.989683539438013 & 0.020632921123974 & 0.010316460561987 \tabularnewline
155 & 0.989153321665103 & 0.0216933566697941 & 0.0108466783348971 \tabularnewline
156 & 0.987986644762265 & 0.0240267104754691 & 0.0120133552377346 \tabularnewline
157 & 0.990270354968981 & 0.0194592900620379 & 0.00972964503101893 \tabularnewline
158 & 0.987890651668324 & 0.0242186966633517 & 0.0121093483316759 \tabularnewline
159 & 0.985019971510148 & 0.029960056979704 & 0.014980028489852 \tabularnewline
160 & 0.987955684975923 & 0.0240886300481543 & 0.0120443150240772 \tabularnewline
161 & 0.988190693579093 & 0.0236186128418134 & 0.0118093064209067 \tabularnewline
162 & 0.989721595810457 & 0.0205568083790864 & 0.0102784041895432 \tabularnewline
163 & 0.989956413922224 & 0.0200871721555521 & 0.0100435860777761 \tabularnewline
164 & 0.99179831535403 & 0.0164033692919415 & 0.00820168464597076 \tabularnewline
165 & 0.990346738447849 & 0.0193065231043024 & 0.00965326155215122 \tabularnewline
166 & 0.989010304145677 & 0.0219793917086458 & 0.0109896958543229 \tabularnewline
167 & 0.986431137017224 & 0.0271377259655519 & 0.0135688629827759 \tabularnewline
168 & 0.999478081401207 & 0.00104383719758645 & 0.000521918598793224 \tabularnewline
169 & 0.999403992954177 & 0.00119201409164608 & 0.00059600704582304 \tabularnewline
170 & 0.99918634853568 & 0.00162730292863907 & 0.000813651464319534 \tabularnewline
171 & 0.99908105209512 & 0.00183789580975901 & 0.000918947904879503 \tabularnewline
172 & 0.998767898774625 & 0.00246420245075014 & 0.00123210122537507 \tabularnewline
173 & 0.999087323232806 & 0.00182535353438752 & 0.00091267676719376 \tabularnewline
174 & 0.999211081811782 & 0.00157783637643632 & 0.000788918188218158 \tabularnewline
175 & 0.999508134581639 & 0.000983730836721809 & 0.000491865418360904 \tabularnewline
176 & 0.999331141841887 & 0.00133771631622703 & 0.000668858158113514 \tabularnewline
177 & 0.999432914364565 & 0.00113417127087048 & 0.00056708563543524 \tabularnewline
178 & 0.999220057776808 & 0.00155988444638379 & 0.000779942223191893 \tabularnewline
179 & 0.999745199163675 & 0.000509601672649763 & 0.000254800836324881 \tabularnewline
180 & 0.999683562884427 & 0.000632874231146241 & 0.00031643711557312 \tabularnewline
181 & 0.999563691184863 & 0.000872617630274316 & 0.000436308815137158 \tabularnewline
182 & 0.999401227673574 & 0.00119754465285126 & 0.00059877232642563 \tabularnewline
183 & 0.999196253065185 & 0.00160749386962925 & 0.000803746934814623 \tabularnewline
184 & 0.999089903975607 & 0.00182019204878671 & 0.000910096024393355 \tabularnewline
185 & 0.999969120787931 & 6.17584241372389e-05 & 3.08792120686194e-05 \tabularnewline
186 & 0.999956304506407 & 8.73909871861563e-05 & 4.36954935930782e-05 \tabularnewline
187 & 0.999943817767339 & 0.000112364465322691 & 5.61822326613456e-05 \tabularnewline
188 & 0.999922253835855 & 0.000155492328289691 & 7.77461641448456e-05 \tabularnewline
189 & 0.999889210626233 & 0.000221578747534348 & 0.000110789373767174 \tabularnewline
190 & 0.999990301656064 & 1.93966878728713e-05 & 9.69834393643565e-06 \tabularnewline
191 & 0.999997983581084 & 4.03283783176475e-06 & 2.01641891588238e-06 \tabularnewline
192 & 0.999997154277465 & 5.69144507047712e-06 & 2.84572253523856e-06 \tabularnewline
193 & 0.999995537665819 & 8.92466836231908e-06 & 4.46233418115954e-06 \tabularnewline
194 & 0.999997638080674 & 4.72383865267201e-06 & 2.361919326336e-06 \tabularnewline
195 & 0.999997122052935 & 5.75589413019197e-06 & 2.87794706509599e-06 \tabularnewline
196 & 0.999995416103583 & 9.16779283361908e-06 & 4.58389641680954e-06 \tabularnewline
197 & 0.999994646910485 & 1.07061790294643e-05 & 5.35308951473213e-06 \tabularnewline
198 & 0.999992716158232 & 1.45676835353148e-05 & 7.28384176765742e-06 \tabularnewline
199 & 0.99999083124943 & 1.83375011398825e-05 & 9.16875056994124e-06 \tabularnewline
200 & 0.999989065386442 & 2.18692271159495e-05 & 1.09346135579747e-05 \tabularnewline
201 & 0.99998292461863 & 3.41507627400612e-05 & 1.70753813700306e-05 \tabularnewline
202 & 0.999974705222553 & 5.05895548941371e-05 & 2.52947774470685e-05 \tabularnewline
203 & 0.999966090431704 & 6.78191365913647e-05 & 3.39095682956824e-05 \tabularnewline
204 & 0.999961978946964 & 7.60421060718577e-05 & 3.80210530359289e-05 \tabularnewline
205 & 0.9999442606829 & 0.000111478634199474 & 5.5739317099737e-05 \tabularnewline
206 & 0.999963529473593 & 7.2941052813977e-05 & 3.64705264069885e-05 \tabularnewline
207 & 0.999946744420331 & 0.000106511159337796 & 5.32555796688978e-05 \tabularnewline
208 & 0.999922998772175 & 0.000154002455649704 & 7.70012278248519e-05 \tabularnewline
209 & 0.999888972479726 & 0.000222055040548875 & 0.000111027520274437 \tabularnewline
210 & 0.999879176611084 & 0.000241646777831898 & 0.000120823388915949 \tabularnewline
211 & 0.999818996998333 & 0.000362006003334969 & 0.000181003001667485 \tabularnewline
212 & 0.999733080375896 & 0.000533839248208303 & 0.000266919624104151 \tabularnewline
213 & 0.999605335329393 & 0.000789329341214242 & 0.000394664670607121 \tabularnewline
214 & 0.999525102405197 & 0.00094979518960658 & 0.00047489759480329 \tabularnewline
215 & 0.99939009333968 & 0.0012198133206401 & 0.000609906660320051 \tabularnewline
216 & 0.99957513721507 & 0.00084972556986158 & 0.00042486278493079 \tabularnewline
217 & 0.999462078101425 & 0.00107584379714993 & 0.000537921898574966 \tabularnewline
218 & 0.999360812065192 & 0.00127837586961611 & 0.000639187934808056 \tabularnewline
219 & 0.99917162318008 & 0.00165675363984142 & 0.000828376819920709 \tabularnewline
220 & 0.999027327598348 & 0.00194534480330494 & 0.000972672401652469 \tabularnewline
221 & 0.998968726640868 & 0.00206254671826469 & 0.00103127335913234 \tabularnewline
222 & 0.99907903235938 & 0.00184193528123983 & 0.000920967640619915 \tabularnewline
223 & 0.99870484115791 & 0.00259031768417906 & 0.00129515884208953 \tabularnewline
224 & 0.998188972224962 & 0.00362205555007591 & 0.00181102777503796 \tabularnewline
225 & 0.997620246394033 & 0.00475950721193431 & 0.00237975360596715 \tabularnewline
226 & 0.997761877097577 & 0.00447624580484554 & 0.00223812290242277 \tabularnewline
227 & 0.998672080111153 & 0.00265583977769375 & 0.00132791988884688 \tabularnewline
228 & 0.998532519090142 & 0.00293496181971545 & 0.00146748090985772 \tabularnewline
229 & 0.99810612176831 & 0.00378775646337992 & 0.00189387823168996 \tabularnewline
230 & 0.99919408775001 & 0.00161182449997938 & 0.000805912249989689 \tabularnewline
231 & 0.999088757459998 & 0.00182248508000343 & 0.000911242540001713 \tabularnewline
232 & 0.998626963238093 & 0.0027460735238147 & 0.00137303676190735 \tabularnewline
233 & 0.998427327693355 & 0.00314534461329053 & 0.00157267230664526 \tabularnewline
234 & 0.997689542021731 & 0.00462091595653776 & 0.00231045797826888 \tabularnewline
235 & 0.997591920627961 & 0.00481615874407734 & 0.00240807937203867 \tabularnewline
236 & 0.996460387502823 & 0.00707922499435338 & 0.00353961249717669 \tabularnewline
237 & 0.99636456213552 & 0.00727087572896056 & 0.00363543786448028 \tabularnewline
238 & 0.99992331426611 & 0.000153371467780193 & 7.66857338900964e-05 \tabularnewline
239 & 0.999887644494752 & 0.000224711010496317 & 0.000112355505248159 \tabularnewline
240 & 0.999808543551783 & 0.000382912896433661 & 0.000191456448216831 \tabularnewline
241 & 0.999865547068273 & 0.000268905863454427 & 0.000134452931727213 \tabularnewline
242 & 0.999844067701249 & 0.000311864597502445 & 0.000155932298751222 \tabularnewline
243 & 0.999744293218027 & 0.000511413563946414 & 0.000255706781973207 \tabularnewline
244 & 0.999620494936315 & 0.00075901012737089 & 0.000379505063685445 \tabularnewline
245 & 0.999474657467522 & 0.0010506850649552 & 0.000525342532477598 \tabularnewline
246 & 0.999393197669903 & 0.00121360466019451 & 0.000606802330097257 \tabularnewline
247 & 0.9990468340087 & 0.00190633198259922 & 0.000953165991299612 \tabularnewline
248 & 0.99844015192687 & 0.00311969614625824 & 0.00155984807312912 \tabularnewline
249 & 0.997475856507457 & 0.0050482869850869 & 0.00252414349254345 \tabularnewline
250 & 0.996560112263615 & 0.00687977547277049 & 0.00343988773638524 \tabularnewline
251 & 0.994579030006532 & 0.0108419399869369 & 0.00542096999346844 \tabularnewline
252 & 0.991564737060442 & 0.016870525879115 & 0.0084352629395575 \tabularnewline
253 & 0.987088419826405 & 0.02582316034719 & 0.012911580173595 \tabularnewline
254 & 0.98411467754034 & 0.0317706449193189 & 0.0158853224596595 \tabularnewline
255 & 0.985825177255258 & 0.0283496454894844 & 0.0141748227447422 \tabularnewline
256 & 0.979774763485712 & 0.0404504730285766 & 0.0202252365142883 \tabularnewline
257 & 0.97358749336882 & 0.05282501326236 & 0.02641250663118 \tabularnewline
258 & 0.97519272086857 & 0.0496145582628616 & 0.0248072791314308 \tabularnewline
259 & 0.964129251823528 & 0.0717414963529444 & 0.0358707481764722 \tabularnewline
260 & 0.957911049821003 & 0.0841779003579947 & 0.0420889501789973 \tabularnewline
261 & 0.990681678506337 & 0.0186366429873265 & 0.00931832149366326 \tabularnewline
262 & 0.989160980400936 & 0.0216780391981279 & 0.0108390195990639 \tabularnewline
263 & 0.982588783280206 & 0.0348224334395877 & 0.0174112167197938 \tabularnewline
264 & 0.980907661897236 & 0.0381846762055289 & 0.0190923381027645 \tabularnewline
265 & 0.987548220355797 & 0.0249035592884064 & 0.0124517796442032 \tabularnewline
266 & 0.991228008119647 & 0.0175439837607057 & 0.00877199188035287 \tabularnewline
267 & 0.984194627700301 & 0.0316107445993972 & 0.0158053722996986 \tabularnewline
268 & 0.976945648341826 & 0.0461087033163478 & 0.0230543516581739 \tabularnewline
269 & 0.976492895389442 & 0.0470142092211161 & 0.0235071046105581 \tabularnewline
270 & 0.963037659058764 & 0.0739246818824728 & 0.0369623409412364 \tabularnewline
271 & 0.940732961484874 & 0.118534077030252 & 0.0592670385151262 \tabularnewline
272 & 0.90905482479469 & 0.18189035041062 & 0.09094517520531 \tabularnewline
273 & 0.842474048991814 & 0.315051902016372 & 0.157525951008186 \tabularnewline
274 & 0.839594671340884 & 0.320810657318232 & 0.160405328659116 \tabularnewline
275 & 0.802550897772476 & 0.394898204455048 & 0.197449102227524 \tabularnewline
276 & 0.718136263006423 & 0.563727473987154 & 0.281863736993577 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155003&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]13[/C][C]0.947277791838553[/C][C]0.105444416322894[/C][C]0.0527222081614469[/C][/ROW]
[ROW][C]14[/C][C]0.92525746455937[/C][C]0.149485070881259[/C][C]0.0747425354406296[/C][/ROW]
[ROW][C]15[/C][C]0.883169879109516[/C][C]0.233660241780969[/C][C]0.116830120890484[/C][/ROW]
[ROW][C]16[/C][C]0.967237336269116[/C][C]0.065525327461767[/C][C]0.0327626637308835[/C][/ROW]
[ROW][C]17[/C][C]0.947510138174182[/C][C]0.104979723651637[/C][C]0.0524898618258183[/C][/ROW]
[ROW][C]18[/C][C]0.981743376829123[/C][C]0.0365132463417536[/C][C]0.0182566231708768[/C][/ROW]
[ROW][C]19[/C][C]0.99500381410634[/C][C]0.00999237178731868[/C][C]0.00499618589365934[/C][/ROW]
[ROW][C]20[/C][C]0.992706542184048[/C][C]0.014586915631904[/C][C]0.007293457815952[/C][/ROW]
[ROW][C]21[/C][C]0.991635346982658[/C][C]0.016729306034684[/C][C]0.00836465301734201[/C][/ROW]
[ROW][C]22[/C][C]0.986991959426198[/C][C]0.0260160811476036[/C][C]0.0130080405738018[/C][/ROW]
[ROW][C]23[/C][C]0.985865160471364[/C][C]0.0282696790572719[/C][C]0.014134839528636[/C][/ROW]
[ROW][C]24[/C][C]0.98300554891868[/C][C]0.0339889021626404[/C][C]0.0169944510813202[/C][/ROW]
[ROW][C]25[/C][C]0.992539733144522[/C][C]0.0149205337109559[/C][C]0.00746026685547797[/C][/ROW]
[ROW][C]26[/C][C]0.989457731293228[/C][C]0.0210845374135439[/C][C]0.0105422687067719[/C][/ROW]
[ROW][C]27[/C][C]0.993194958524282[/C][C]0.0136100829514366[/C][C]0.0068050414757183[/C][/ROW]
[ROW][C]28[/C][C]0.989686765860449[/C][C]0.0206264682791027[/C][C]0.0103132341395513[/C][/ROW]
[ROW][C]29[/C][C]0.985994214597578[/C][C]0.0280115708048443[/C][C]0.0140057854024222[/C][/ROW]
[ROW][C]30[/C][C]0.980335159249238[/C][C]0.0393296815015243[/C][C]0.0196648407507621[/C][/ROW]
[ROW][C]31[/C][C]0.976401673590119[/C][C]0.0471966528197619[/C][C]0.023598326409881[/C][/ROW]
[ROW][C]32[/C][C]0.976023006565195[/C][C]0.0479539868696109[/C][C]0.0239769934348054[/C][/ROW]
[ROW][C]33[/C][C]0.966607133443792[/C][C]0.0667857331124167[/C][C]0.0333928665562084[/C][/ROW]
[ROW][C]34[/C][C]0.958737978663281[/C][C]0.0825240426734376[/C][C]0.0412620213367188[/C][/ROW]
[ROW][C]35[/C][C]0.967241507303005[/C][C]0.065516985393991[/C][C]0.0327584926969955[/C][/ROW]
[ROW][C]36[/C][C]0.95967120815517[/C][C]0.0806575836896584[/C][C]0.0403287918448292[/C][/ROW]
[ROW][C]37[/C][C]0.946482774108366[/C][C]0.107034451783269[/C][C]0.0535172258916345[/C][/ROW]
[ROW][C]38[/C][C]0.947090784943887[/C][C]0.105818430112226[/C][C]0.0529092150561129[/C][/ROW]
[ROW][C]39[/C][C]0.936631016531463[/C][C]0.126737966937074[/C][C]0.0633689834685372[/C][/ROW]
[ROW][C]40[/C][C]0.9276814948501[/C][C]0.144637010299798[/C][C]0.072318505149899[/C][/ROW]
[ROW][C]41[/C][C]0.944097365740831[/C][C]0.111805268518338[/C][C]0.0559026342591692[/C][/ROW]
[ROW][C]42[/C][C]0.928201847423216[/C][C]0.143596305153568[/C][C]0.0717981525767839[/C][/ROW]
[ROW][C]43[/C][C]0.909345501826768[/C][C]0.181308996346464[/C][C]0.090654498173232[/C][/ROW]
[ROW][C]44[/C][C]0.901554635783014[/C][C]0.196890728433972[/C][C]0.0984453642169858[/C][/ROW]
[ROW][C]45[/C][C]0.888881386291501[/C][C]0.222237227416998[/C][C]0.111118613708499[/C][/ROW]
[ROW][C]46[/C][C]0.87117659575353[/C][C]0.25764680849294[/C][C]0.12882340424647[/C][/ROW]
[ROW][C]47[/C][C]0.867291901303353[/C][C]0.265416197393294[/C][C]0.132708098696647[/C][/ROW]
[ROW][C]48[/C][C]0.86598120472685[/C][C]0.268037590546298[/C][C]0.134018795273149[/C][/ROW]
[ROW][C]49[/C][C]0.839418024505502[/C][C]0.321163950988995[/C][C]0.160581975494498[/C][/ROW]
[ROW][C]50[/C][C]0.816566818980854[/C][C]0.366866362038292[/C][C]0.183433181019146[/C][/ROW]
[ROW][C]51[/C][C]0.80555499638677[/C][C]0.38889000722646[/C][C]0.19444500361323[/C][/ROW]
[ROW][C]52[/C][C]0.7856208433371[/C][C]0.4287583133258[/C][C]0.2143791566629[/C][/ROW]
[ROW][C]53[/C][C]0.764419535891098[/C][C]0.471160928217803[/C][C]0.235580464108902[/C][/ROW]
[ROW][C]54[/C][C]0.727344382735265[/C][C]0.54531123452947[/C][C]0.272655617264735[/C][/ROW]
[ROW][C]55[/C][C]0.707818137916305[/C][C]0.58436372416739[/C][C]0.292181862083695[/C][/ROW]
[ROW][C]56[/C][C]0.675214164245518[/C][C]0.649571671508965[/C][C]0.324785835754482[/C][/ROW]
[ROW][C]57[/C][C]0.640570350864819[/C][C]0.718859298270362[/C][C]0.359429649135181[/C][/ROW]
[ROW][C]58[/C][C]0.649632535114352[/C][C]0.700734929771297[/C][C]0.350367464885648[/C][/ROW]
[ROW][C]59[/C][C]0.653964781708913[/C][C]0.692070436582174[/C][C]0.346035218291087[/C][/ROW]
[ROW][C]60[/C][C]0.612543846440947[/C][C]0.774912307118106[/C][C]0.387456153559053[/C][/ROW]
[ROW][C]61[/C][C]0.574015131823695[/C][C]0.85196973635261[/C][C]0.425984868176305[/C][/ROW]
[ROW][C]62[/C][C]0.606269993136966[/C][C]0.787460013726067[/C][C]0.393730006863034[/C][/ROW]
[ROW][C]63[/C][C]0.570552897261628[/C][C]0.858894205476745[/C][C]0.429447102738372[/C][/ROW]
[ROW][C]64[/C][C]0.530297135143581[/C][C]0.939405729712839[/C][C]0.469702864856419[/C][/ROW]
[ROW][C]65[/C][C]0.489727076228369[/C][C]0.979454152456739[/C][C]0.510272923771631[/C][/ROW]
[ROW][C]66[/C][C]0.46738488315013[/C][C]0.93476976630026[/C][C]0.53261511684987[/C][/ROW]
[ROW][C]67[/C][C]0.438627393538316[/C][C]0.877254787076631[/C][C]0.561372606461684[/C][/ROW]
[ROW][C]68[/C][C]0.40792643250789[/C][C]0.81585286501578[/C][C]0.59207356749211[/C][/ROW]
[ROW][C]69[/C][C]0.452460232787036[/C][C]0.904920465574073[/C][C]0.547539767212964[/C][/ROW]
[ROW][C]70[/C][C]0.777667737597394[/C][C]0.444664524805213[/C][C]0.222332262402606[/C][/ROW]
[ROW][C]71[/C][C]0.789737566232746[/C][C]0.420524867534507[/C][C]0.210262433767254[/C][/ROW]
[ROW][C]72[/C][C]0.77141983171037[/C][C]0.457160336579259[/C][C]0.22858016828963[/C][/ROW]
[ROW][C]73[/C][C]0.806726015511924[/C][C]0.386547968976152[/C][C]0.193273984488076[/C][/ROW]
[ROW][C]74[/C][C]0.810807455812965[/C][C]0.37838508837407[/C][C]0.189192544187035[/C][/ROW]
[ROW][C]75[/C][C]0.783167071229864[/C][C]0.433665857540272[/C][C]0.216832928770136[/C][/ROW]
[ROW][C]76[/C][C]0.768170427349321[/C][C]0.463659145301357[/C][C]0.231829572650679[/C][/ROW]
[ROW][C]77[/C][C]0.746919972952712[/C][C]0.506160054094576[/C][C]0.253080027047288[/C][/ROW]
[ROW][C]78[/C][C]0.732192963195551[/C][C]0.535614073608898[/C][C]0.267807036804449[/C][/ROW]
[ROW][C]79[/C][C]0.70413536019646[/C][C]0.59172927960708[/C][C]0.29586463980354[/C][/ROW]
[ROW][C]80[/C][C]0.75072133003238[/C][C]0.49855733993524[/C][C]0.24927866996762[/C][/ROW]
[ROW][C]81[/C][C]0.766506572575475[/C][C]0.46698685484905[/C][C]0.233493427424525[/C][/ROW]
[ROW][C]82[/C][C]0.743427275734071[/C][C]0.513145448531858[/C][C]0.256572724265929[/C][/ROW]
[ROW][C]83[/C][C]0.712417932507422[/C][C]0.575164134985155[/C][C]0.287582067492578[/C][/ROW]
[ROW][C]84[/C][C]0.69609672913966[/C][C]0.60780654172068[/C][C]0.30390327086034[/C][/ROW]
[ROW][C]85[/C][C]0.677646796831089[/C][C]0.644706406337822[/C][C]0.322353203168911[/C][/ROW]
[ROW][C]86[/C][C]0.652375485599686[/C][C]0.695249028800628[/C][C]0.347624514400314[/C][/ROW]
[ROW][C]87[/C][C]0.62155753729281[/C][C]0.75688492541438[/C][C]0.37844246270719[/C][/ROW]
[ROW][C]88[/C][C]0.585238557937065[/C][C]0.82952288412587[/C][C]0.414761442062935[/C][/ROW]
[ROW][C]89[/C][C]0.677055831930778[/C][C]0.645888336138445[/C][C]0.322944168069222[/C][/ROW]
[ROW][C]90[/C][C]0.737581679246805[/C][C]0.52483664150639[/C][C]0.262418320753195[/C][/ROW]
[ROW][C]91[/C][C]0.73611278563083[/C][C]0.52777442873834[/C][C]0.26388721436917[/C][/ROW]
[ROW][C]92[/C][C]0.711107733841031[/C][C]0.577784532317938[/C][C]0.288892266158969[/C][/ROW]
[ROW][C]93[/C][C]0.679666160242726[/C][C]0.640667679514548[/C][C]0.320333839757274[/C][/ROW]
[ROW][C]94[/C][C]0.685290020927457[/C][C]0.629419958145087[/C][C]0.314709979072543[/C][/ROW]
[ROW][C]95[/C][C]0.667744950281707[/C][C]0.664510099436587[/C][C]0.332255049718293[/C][/ROW]
[ROW][C]96[/C][C]0.653958204004629[/C][C]0.692083591990743[/C][C]0.346041795995371[/C][/ROW]
[ROW][C]97[/C][C]0.851392792978759[/C][C]0.297214414042483[/C][C]0.148607207021241[/C][/ROW]
[ROW][C]98[/C][C]0.8479362146668[/C][C]0.304127570666399[/C][C]0.152063785333199[/C][/ROW]
[ROW][C]99[/C][C]0.930504255241913[/C][C]0.138991489516174[/C][C]0.0694957447580869[/C][/ROW]
[ROW][C]100[/C][C]0.924269085962498[/C][C]0.151461828075004[/C][C]0.0757309140375021[/C][/ROW]
[ROW][C]101[/C][C]0.911894471773338[/C][C]0.176211056453325[/C][C]0.0881055282266624[/C][/ROW]
[ROW][C]102[/C][C]0.911803192304155[/C][C]0.17639361539169[/C][C]0.0881968076958452[/C][/ROW]
[ROW][C]103[/C][C]0.90285504184491[/C][C]0.194289916310179[/C][C]0.0971449581550897[/C][/ROW]
[ROW][C]104[/C][C]0.909477493903309[/C][C]0.181045012193383[/C][C]0.0905225060966914[/C][/ROW]
[ROW][C]105[/C][C]0.911789090635425[/C][C]0.17642181872915[/C][C]0.0882109093645749[/C][/ROW]
[ROW][C]106[/C][C]0.923428999332489[/C][C]0.153142001335022[/C][C]0.0765710006675108[/C][/ROW]
[ROW][C]107[/C][C]0.954370343183587[/C][C]0.0912593136328255[/C][C]0.0456296568164127[/C][/ROW]
[ROW][C]108[/C][C]0.971729467185867[/C][C]0.0565410656282654[/C][C]0.0282705328141327[/C][/ROW]
[ROW][C]109[/C][C]0.966569669299196[/C][C]0.0668606614016077[/C][C]0.0334303307008039[/C][/ROW]
[ROW][C]110[/C][C]0.96057422796384[/C][C]0.0788515440723184[/C][C]0.0394257720361592[/C][/ROW]
[ROW][C]111[/C][C]0.95452564500447[/C][C]0.0909487099910621[/C][C]0.0454743549955311[/C][/ROW]
[ROW][C]112[/C][C]0.996162172126306[/C][C]0.00767565574738857[/C][C]0.00383782787369429[/C][/ROW]
[ROW][C]113[/C][C]0.995873074585403[/C][C]0.00825385082919372[/C][C]0.00412692541459686[/C][/ROW]
[ROW][C]114[/C][C]0.999255072643792[/C][C]0.00148985471241697[/C][C]0.000744927356208483[/C][/ROW]
[ROW][C]115[/C][C]0.999813240010389[/C][C]0.000373519979222305[/C][C]0.000186759989611152[/C][/ROW]
[ROW][C]116[/C][C]0.999796699827202[/C][C]0.000406600345595419[/C][C]0.00020330017279771[/C][/ROW]
[ROW][C]117[/C][C]0.999741269912353[/C][C]0.000517460175293638[/C][C]0.000258730087646819[/C][/ROW]
[ROW][C]118[/C][C]0.999645804747223[/C][C]0.000708390505553665[/C][C]0.000354195252776832[/C][/ROW]
[ROW][C]119[/C][C]0.999515673390063[/C][C]0.000968653219873738[/C][C]0.000484326609936869[/C][/ROW]
[ROW][C]120[/C][C]0.999471059422962[/C][C]0.00105788115407638[/C][C]0.000528940577038192[/C][/ROW]
[ROW][C]121[/C][C]0.999354222208144[/C][C]0.00129155558371275[/C][C]0.000645777791856375[/C][/ROW]
[ROW][C]122[/C][C]0.999132542033683[/C][C]0.0017349159326349[/C][C]0.000867457966317449[/C][/ROW]
[ROW][C]123[/C][C]0.998909601173536[/C][C]0.00218079765292815[/C][C]0.00109039882646407[/C][/ROW]
[ROW][C]124[/C][C]0.998594890622504[/C][C]0.00281021875499232[/C][C]0.00140510937749616[/C][/ROW]
[ROW][C]125[/C][C]0.998672724946618[/C][C]0.00265455010676406[/C][C]0.00132727505338203[/C][/ROW]
[ROW][C]126[/C][C]0.998343114513705[/C][C]0.00331377097258901[/C][C]0.00165688548629451[/C][/ROW]
[ROW][C]127[/C][C]0.997858614742098[/C][C]0.00428277051580407[/C][C]0.00214138525790203[/C][/ROW]
[ROW][C]128[/C][C]0.998111065592569[/C][C]0.00377786881486244[/C][C]0.00188893440743122[/C][/ROW]
[ROW][C]129[/C][C]0.998923808780386[/C][C]0.0021523824392272[/C][C]0.0010761912196136[/C][/ROW]
[ROW][C]130[/C][C]0.99863944810434[/C][C]0.00272110379131891[/C][C]0.00136055189565946[/C][/ROW]
[ROW][C]131[/C][C]0.998199199632447[/C][C]0.00360160073510627[/C][C]0.00180080036755314[/C][/ROW]
[ROW][C]132[/C][C]0.998758954367193[/C][C]0.00248209126561343[/C][C]0.00124104563280672[/C][/ROW]
[ROW][C]133[/C][C]0.99850332190339[/C][C]0.0029933561932197[/C][C]0.00149667809660985[/C][/ROW]
[ROW][C]134[/C][C]0.99804545542084[/C][C]0.0039090891583215[/C][C]0.00195454457916075[/C][/ROW]
[ROW][C]135[/C][C]0.99796900923189[/C][C]0.00406198153622136[/C][C]0.00203099076811068[/C][/ROW]
[ROW][C]136[/C][C]0.999041960271542[/C][C]0.00191607945691635[/C][C]0.000958039728458175[/C][/ROW]
[ROW][C]137[/C][C]0.998782946421001[/C][C]0.00243410715799726[/C][C]0.00121705357899863[/C][/ROW]
[ROW][C]138[/C][C]0.99908855912927[/C][C]0.00182288174146029[/C][C]0.000911440870730144[/C][/ROW]
[ROW][C]139[/C][C]0.99887893042315[/C][C]0.00224213915369933[/C][C]0.00112106957684966[/C][/ROW]
[ROW][C]140[/C][C]0.998579485946828[/C][C]0.00284102810634412[/C][C]0.00142051405317206[/C][/ROW]
[ROW][C]141[/C][C]0.998156625336212[/C][C]0.0036867493275751[/C][C]0.00184337466378755[/C][/ROW]
[ROW][C]142[/C][C]0.99760787544341[/C][C]0.00478424911317836[/C][C]0.00239212455658918[/C][/ROW]
[ROW][C]143[/C][C]0.997044227983269[/C][C]0.00591154403346255[/C][C]0.00295577201673127[/C][/ROW]
[ROW][C]144[/C][C]0.99642740015971[/C][C]0.00714519968057942[/C][C]0.00357259984028971[/C][/ROW]
[ROW][C]145[/C][C]0.996590324208694[/C][C]0.0068193515826128[/C][C]0.0034096757913064[/C][/ROW]
[ROW][C]146[/C][C]0.995671641036308[/C][C]0.00865671792738313[/C][C]0.00432835896369156[/C][/ROW]
[ROW][C]147[/C][C]0.99447708776024[/C][C]0.0110458244795196[/C][C]0.00552291223975979[/C][/ROW]
[ROW][C]148[/C][C]0.992962908935032[/C][C]0.0140741821299354[/C][C]0.00703709106496771[/C][/ROW]
[ROW][C]149[/C][C]0.99127610213543[/C][C]0.0174477957291389[/C][C]0.00872389786456944[/C][/ROW]
[ROW][C]150[/C][C]0.993477571797816[/C][C]0.0130448564043678[/C][C]0.0065224282021839[/C][/ROW]
[ROW][C]151[/C][C]0.993973000844947[/C][C]0.0120539983101059[/C][C]0.00602699915505295[/C][/ROW]
[ROW][C]152[/C][C]0.993255023887523[/C][C]0.0134899522249539[/C][C]0.00674497611247697[/C][/ROW]
[ROW][C]153[/C][C]0.991712208644504[/C][C]0.0165755827109927[/C][C]0.00828779135549637[/C][/ROW]
[ROW][C]154[/C][C]0.989683539438013[/C][C]0.020632921123974[/C][C]0.010316460561987[/C][/ROW]
[ROW][C]155[/C][C]0.989153321665103[/C][C]0.0216933566697941[/C][C]0.0108466783348971[/C][/ROW]
[ROW][C]156[/C][C]0.987986644762265[/C][C]0.0240267104754691[/C][C]0.0120133552377346[/C][/ROW]
[ROW][C]157[/C][C]0.990270354968981[/C][C]0.0194592900620379[/C][C]0.00972964503101893[/C][/ROW]
[ROW][C]158[/C][C]0.987890651668324[/C][C]0.0242186966633517[/C][C]0.0121093483316759[/C][/ROW]
[ROW][C]159[/C][C]0.985019971510148[/C][C]0.029960056979704[/C][C]0.014980028489852[/C][/ROW]
[ROW][C]160[/C][C]0.987955684975923[/C][C]0.0240886300481543[/C][C]0.0120443150240772[/C][/ROW]
[ROW][C]161[/C][C]0.988190693579093[/C][C]0.0236186128418134[/C][C]0.0118093064209067[/C][/ROW]
[ROW][C]162[/C][C]0.989721595810457[/C][C]0.0205568083790864[/C][C]0.0102784041895432[/C][/ROW]
[ROW][C]163[/C][C]0.989956413922224[/C][C]0.0200871721555521[/C][C]0.0100435860777761[/C][/ROW]
[ROW][C]164[/C][C]0.99179831535403[/C][C]0.0164033692919415[/C][C]0.00820168464597076[/C][/ROW]
[ROW][C]165[/C][C]0.990346738447849[/C][C]0.0193065231043024[/C][C]0.00965326155215122[/C][/ROW]
[ROW][C]166[/C][C]0.989010304145677[/C][C]0.0219793917086458[/C][C]0.0109896958543229[/C][/ROW]
[ROW][C]167[/C][C]0.986431137017224[/C][C]0.0271377259655519[/C][C]0.0135688629827759[/C][/ROW]
[ROW][C]168[/C][C]0.999478081401207[/C][C]0.00104383719758645[/C][C]0.000521918598793224[/C][/ROW]
[ROW][C]169[/C][C]0.999403992954177[/C][C]0.00119201409164608[/C][C]0.00059600704582304[/C][/ROW]
[ROW][C]170[/C][C]0.99918634853568[/C][C]0.00162730292863907[/C][C]0.000813651464319534[/C][/ROW]
[ROW][C]171[/C][C]0.99908105209512[/C][C]0.00183789580975901[/C][C]0.000918947904879503[/C][/ROW]
[ROW][C]172[/C][C]0.998767898774625[/C][C]0.00246420245075014[/C][C]0.00123210122537507[/C][/ROW]
[ROW][C]173[/C][C]0.999087323232806[/C][C]0.00182535353438752[/C][C]0.00091267676719376[/C][/ROW]
[ROW][C]174[/C][C]0.999211081811782[/C][C]0.00157783637643632[/C][C]0.000788918188218158[/C][/ROW]
[ROW][C]175[/C][C]0.999508134581639[/C][C]0.000983730836721809[/C][C]0.000491865418360904[/C][/ROW]
[ROW][C]176[/C][C]0.999331141841887[/C][C]0.00133771631622703[/C][C]0.000668858158113514[/C][/ROW]
[ROW][C]177[/C][C]0.999432914364565[/C][C]0.00113417127087048[/C][C]0.00056708563543524[/C][/ROW]
[ROW][C]178[/C][C]0.999220057776808[/C][C]0.00155988444638379[/C][C]0.000779942223191893[/C][/ROW]
[ROW][C]179[/C][C]0.999745199163675[/C][C]0.000509601672649763[/C][C]0.000254800836324881[/C][/ROW]
[ROW][C]180[/C][C]0.999683562884427[/C][C]0.000632874231146241[/C][C]0.00031643711557312[/C][/ROW]
[ROW][C]181[/C][C]0.999563691184863[/C][C]0.000872617630274316[/C][C]0.000436308815137158[/C][/ROW]
[ROW][C]182[/C][C]0.999401227673574[/C][C]0.00119754465285126[/C][C]0.00059877232642563[/C][/ROW]
[ROW][C]183[/C][C]0.999196253065185[/C][C]0.00160749386962925[/C][C]0.000803746934814623[/C][/ROW]
[ROW][C]184[/C][C]0.999089903975607[/C][C]0.00182019204878671[/C][C]0.000910096024393355[/C][/ROW]
[ROW][C]185[/C][C]0.999969120787931[/C][C]6.17584241372389e-05[/C][C]3.08792120686194e-05[/C][/ROW]
[ROW][C]186[/C][C]0.999956304506407[/C][C]8.73909871861563e-05[/C][C]4.36954935930782e-05[/C][/ROW]
[ROW][C]187[/C][C]0.999943817767339[/C][C]0.000112364465322691[/C][C]5.61822326613456e-05[/C][/ROW]
[ROW][C]188[/C][C]0.999922253835855[/C][C]0.000155492328289691[/C][C]7.77461641448456e-05[/C][/ROW]
[ROW][C]189[/C][C]0.999889210626233[/C][C]0.000221578747534348[/C][C]0.000110789373767174[/C][/ROW]
[ROW][C]190[/C][C]0.999990301656064[/C][C]1.93966878728713e-05[/C][C]9.69834393643565e-06[/C][/ROW]
[ROW][C]191[/C][C]0.999997983581084[/C][C]4.03283783176475e-06[/C][C]2.01641891588238e-06[/C][/ROW]
[ROW][C]192[/C][C]0.999997154277465[/C][C]5.69144507047712e-06[/C][C]2.84572253523856e-06[/C][/ROW]
[ROW][C]193[/C][C]0.999995537665819[/C][C]8.92466836231908e-06[/C][C]4.46233418115954e-06[/C][/ROW]
[ROW][C]194[/C][C]0.999997638080674[/C][C]4.72383865267201e-06[/C][C]2.361919326336e-06[/C][/ROW]
[ROW][C]195[/C][C]0.999997122052935[/C][C]5.75589413019197e-06[/C][C]2.87794706509599e-06[/C][/ROW]
[ROW][C]196[/C][C]0.999995416103583[/C][C]9.16779283361908e-06[/C][C]4.58389641680954e-06[/C][/ROW]
[ROW][C]197[/C][C]0.999994646910485[/C][C]1.07061790294643e-05[/C][C]5.35308951473213e-06[/C][/ROW]
[ROW][C]198[/C][C]0.999992716158232[/C][C]1.45676835353148e-05[/C][C]7.28384176765742e-06[/C][/ROW]
[ROW][C]199[/C][C]0.99999083124943[/C][C]1.83375011398825e-05[/C][C]9.16875056994124e-06[/C][/ROW]
[ROW][C]200[/C][C]0.999989065386442[/C][C]2.18692271159495e-05[/C][C]1.09346135579747e-05[/C][/ROW]
[ROW][C]201[/C][C]0.99998292461863[/C][C]3.41507627400612e-05[/C][C]1.70753813700306e-05[/C][/ROW]
[ROW][C]202[/C][C]0.999974705222553[/C][C]5.05895548941371e-05[/C][C]2.52947774470685e-05[/C][/ROW]
[ROW][C]203[/C][C]0.999966090431704[/C][C]6.78191365913647e-05[/C][C]3.39095682956824e-05[/C][/ROW]
[ROW][C]204[/C][C]0.999961978946964[/C][C]7.60421060718577e-05[/C][C]3.80210530359289e-05[/C][/ROW]
[ROW][C]205[/C][C]0.9999442606829[/C][C]0.000111478634199474[/C][C]5.5739317099737e-05[/C][/ROW]
[ROW][C]206[/C][C]0.999963529473593[/C][C]7.2941052813977e-05[/C][C]3.64705264069885e-05[/C][/ROW]
[ROW][C]207[/C][C]0.999946744420331[/C][C]0.000106511159337796[/C][C]5.32555796688978e-05[/C][/ROW]
[ROW][C]208[/C][C]0.999922998772175[/C][C]0.000154002455649704[/C][C]7.70012278248519e-05[/C][/ROW]
[ROW][C]209[/C][C]0.999888972479726[/C][C]0.000222055040548875[/C][C]0.000111027520274437[/C][/ROW]
[ROW][C]210[/C][C]0.999879176611084[/C][C]0.000241646777831898[/C][C]0.000120823388915949[/C][/ROW]
[ROW][C]211[/C][C]0.999818996998333[/C][C]0.000362006003334969[/C][C]0.000181003001667485[/C][/ROW]
[ROW][C]212[/C][C]0.999733080375896[/C][C]0.000533839248208303[/C][C]0.000266919624104151[/C][/ROW]
[ROW][C]213[/C][C]0.999605335329393[/C][C]0.000789329341214242[/C][C]0.000394664670607121[/C][/ROW]
[ROW][C]214[/C][C]0.999525102405197[/C][C]0.00094979518960658[/C][C]0.00047489759480329[/C][/ROW]
[ROW][C]215[/C][C]0.99939009333968[/C][C]0.0012198133206401[/C][C]0.000609906660320051[/C][/ROW]
[ROW][C]216[/C][C]0.99957513721507[/C][C]0.00084972556986158[/C][C]0.00042486278493079[/C][/ROW]
[ROW][C]217[/C][C]0.999462078101425[/C][C]0.00107584379714993[/C][C]0.000537921898574966[/C][/ROW]
[ROW][C]218[/C][C]0.999360812065192[/C][C]0.00127837586961611[/C][C]0.000639187934808056[/C][/ROW]
[ROW][C]219[/C][C]0.99917162318008[/C][C]0.00165675363984142[/C][C]0.000828376819920709[/C][/ROW]
[ROW][C]220[/C][C]0.999027327598348[/C][C]0.00194534480330494[/C][C]0.000972672401652469[/C][/ROW]
[ROW][C]221[/C][C]0.998968726640868[/C][C]0.00206254671826469[/C][C]0.00103127335913234[/C][/ROW]
[ROW][C]222[/C][C]0.99907903235938[/C][C]0.00184193528123983[/C][C]0.000920967640619915[/C][/ROW]
[ROW][C]223[/C][C]0.99870484115791[/C][C]0.00259031768417906[/C][C]0.00129515884208953[/C][/ROW]
[ROW][C]224[/C][C]0.998188972224962[/C][C]0.00362205555007591[/C][C]0.00181102777503796[/C][/ROW]
[ROW][C]225[/C][C]0.997620246394033[/C][C]0.00475950721193431[/C][C]0.00237975360596715[/C][/ROW]
[ROW][C]226[/C][C]0.997761877097577[/C][C]0.00447624580484554[/C][C]0.00223812290242277[/C][/ROW]
[ROW][C]227[/C][C]0.998672080111153[/C][C]0.00265583977769375[/C][C]0.00132791988884688[/C][/ROW]
[ROW][C]228[/C][C]0.998532519090142[/C][C]0.00293496181971545[/C][C]0.00146748090985772[/C][/ROW]
[ROW][C]229[/C][C]0.99810612176831[/C][C]0.00378775646337992[/C][C]0.00189387823168996[/C][/ROW]
[ROW][C]230[/C][C]0.99919408775001[/C][C]0.00161182449997938[/C][C]0.000805912249989689[/C][/ROW]
[ROW][C]231[/C][C]0.999088757459998[/C][C]0.00182248508000343[/C][C]0.000911242540001713[/C][/ROW]
[ROW][C]232[/C][C]0.998626963238093[/C][C]0.0027460735238147[/C][C]0.00137303676190735[/C][/ROW]
[ROW][C]233[/C][C]0.998427327693355[/C][C]0.00314534461329053[/C][C]0.00157267230664526[/C][/ROW]
[ROW][C]234[/C][C]0.997689542021731[/C][C]0.00462091595653776[/C][C]0.00231045797826888[/C][/ROW]
[ROW][C]235[/C][C]0.997591920627961[/C][C]0.00481615874407734[/C][C]0.00240807937203867[/C][/ROW]
[ROW][C]236[/C][C]0.996460387502823[/C][C]0.00707922499435338[/C][C]0.00353961249717669[/C][/ROW]
[ROW][C]237[/C][C]0.99636456213552[/C][C]0.00727087572896056[/C][C]0.00363543786448028[/C][/ROW]
[ROW][C]238[/C][C]0.99992331426611[/C][C]0.000153371467780193[/C][C]7.66857338900964e-05[/C][/ROW]
[ROW][C]239[/C][C]0.999887644494752[/C][C]0.000224711010496317[/C][C]0.000112355505248159[/C][/ROW]
[ROW][C]240[/C][C]0.999808543551783[/C][C]0.000382912896433661[/C][C]0.000191456448216831[/C][/ROW]
[ROW][C]241[/C][C]0.999865547068273[/C][C]0.000268905863454427[/C][C]0.000134452931727213[/C][/ROW]
[ROW][C]242[/C][C]0.999844067701249[/C][C]0.000311864597502445[/C][C]0.000155932298751222[/C][/ROW]
[ROW][C]243[/C][C]0.999744293218027[/C][C]0.000511413563946414[/C][C]0.000255706781973207[/C][/ROW]
[ROW][C]244[/C][C]0.999620494936315[/C][C]0.00075901012737089[/C][C]0.000379505063685445[/C][/ROW]
[ROW][C]245[/C][C]0.999474657467522[/C][C]0.0010506850649552[/C][C]0.000525342532477598[/C][/ROW]
[ROW][C]246[/C][C]0.999393197669903[/C][C]0.00121360466019451[/C][C]0.000606802330097257[/C][/ROW]
[ROW][C]247[/C][C]0.9990468340087[/C][C]0.00190633198259922[/C][C]0.000953165991299612[/C][/ROW]
[ROW][C]248[/C][C]0.99844015192687[/C][C]0.00311969614625824[/C][C]0.00155984807312912[/C][/ROW]
[ROW][C]249[/C][C]0.997475856507457[/C][C]0.0050482869850869[/C][C]0.00252414349254345[/C][/ROW]
[ROW][C]250[/C][C]0.996560112263615[/C][C]0.00687977547277049[/C][C]0.00343988773638524[/C][/ROW]
[ROW][C]251[/C][C]0.994579030006532[/C][C]0.0108419399869369[/C][C]0.00542096999346844[/C][/ROW]
[ROW][C]252[/C][C]0.991564737060442[/C][C]0.016870525879115[/C][C]0.0084352629395575[/C][/ROW]
[ROW][C]253[/C][C]0.987088419826405[/C][C]0.02582316034719[/C][C]0.012911580173595[/C][/ROW]
[ROW][C]254[/C][C]0.98411467754034[/C][C]0.0317706449193189[/C][C]0.0158853224596595[/C][/ROW]
[ROW][C]255[/C][C]0.985825177255258[/C][C]0.0283496454894844[/C][C]0.0141748227447422[/C][/ROW]
[ROW][C]256[/C][C]0.979774763485712[/C][C]0.0404504730285766[/C][C]0.0202252365142883[/C][/ROW]
[ROW][C]257[/C][C]0.97358749336882[/C][C]0.05282501326236[/C][C]0.02641250663118[/C][/ROW]
[ROW][C]258[/C][C]0.97519272086857[/C][C]0.0496145582628616[/C][C]0.0248072791314308[/C][/ROW]
[ROW][C]259[/C][C]0.964129251823528[/C][C]0.0717414963529444[/C][C]0.0358707481764722[/C][/ROW]
[ROW][C]260[/C][C]0.957911049821003[/C][C]0.0841779003579947[/C][C]0.0420889501789973[/C][/ROW]
[ROW][C]261[/C][C]0.990681678506337[/C][C]0.0186366429873265[/C][C]0.00931832149366326[/C][/ROW]
[ROW][C]262[/C][C]0.989160980400936[/C][C]0.0216780391981279[/C][C]0.0108390195990639[/C][/ROW]
[ROW][C]263[/C][C]0.982588783280206[/C][C]0.0348224334395877[/C][C]0.0174112167197938[/C][/ROW]
[ROW][C]264[/C][C]0.980907661897236[/C][C]0.0381846762055289[/C][C]0.0190923381027645[/C][/ROW]
[ROW][C]265[/C][C]0.987548220355797[/C][C]0.0249035592884064[/C][C]0.0124517796442032[/C][/ROW]
[ROW][C]266[/C][C]0.991228008119647[/C][C]0.0175439837607057[/C][C]0.00877199188035287[/C][/ROW]
[ROW][C]267[/C][C]0.984194627700301[/C][C]0.0316107445993972[/C][C]0.0158053722996986[/C][/ROW]
[ROW][C]268[/C][C]0.976945648341826[/C][C]0.0461087033163478[/C][C]0.0230543516581739[/C][/ROW]
[ROW][C]269[/C][C]0.976492895389442[/C][C]0.0470142092211161[/C][C]0.0235071046105581[/C][/ROW]
[ROW][C]270[/C][C]0.963037659058764[/C][C]0.0739246818824728[/C][C]0.0369623409412364[/C][/ROW]
[ROW][C]271[/C][C]0.940732961484874[/C][C]0.118534077030252[/C][C]0.0592670385151262[/C][/ROW]
[ROW][C]272[/C][C]0.90905482479469[/C][C]0.18189035041062[/C][C]0.09094517520531[/C][/ROW]
[ROW][C]273[/C][C]0.842474048991814[/C][C]0.315051902016372[/C][C]0.157525951008186[/C][/ROW]
[ROW][C]274[/C][C]0.839594671340884[/C][C]0.320810657318232[/C][C]0.160405328659116[/C][/ROW]
[ROW][C]275[/C][C]0.802550897772476[/C][C]0.394898204455048[/C][C]0.197449102227524[/C][/ROW]
[ROW][C]276[/C][C]0.718136263006423[/C][C]0.563727473987154[/C][C]0.281863736993577[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155003&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155003&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
130.9472777918385530.1054444163228940.0527222081614469
140.925257464559370.1494850708812590.0747425354406296
150.8831698791095160.2336602417809690.116830120890484
160.9672373362691160.0655253274617670.0327626637308835
170.9475101381741820.1049797236516370.0524898618258183
180.9817433768291230.03651324634175360.0182566231708768
190.995003814106340.009992371787318680.00499618589365934
200.9927065421840480.0145869156319040.007293457815952
210.9916353469826580.0167293060346840.00836465301734201
220.9869919594261980.02601608114760360.0130080405738018
230.9858651604713640.02826967905727190.014134839528636
240.983005548918680.03398890216264040.0169944510813202
250.9925397331445220.01492053371095590.00746026685547797
260.9894577312932280.02108453741354390.0105422687067719
270.9931949585242820.01361008295143660.0068050414757183
280.9896867658604490.02062646827910270.0103132341395513
290.9859942145975780.02801157080484430.0140057854024222
300.9803351592492380.03932968150152430.0196648407507621
310.9764016735901190.04719665281976190.023598326409881
320.9760230065651950.04795398686961090.0239769934348054
330.9666071334437920.06678573311241670.0333928665562084
340.9587379786632810.08252404267343760.0412620213367188
350.9672415073030050.0655169853939910.0327584926969955
360.959671208155170.08065758368965840.0403287918448292
370.9464827741083660.1070344517832690.0535172258916345
380.9470907849438870.1058184301122260.0529092150561129
390.9366310165314630.1267379669370740.0633689834685372
400.92768149485010.1446370102997980.072318505149899
410.9440973657408310.1118052685183380.0559026342591692
420.9282018474232160.1435963051535680.0717981525767839
430.9093455018267680.1813089963464640.090654498173232
440.9015546357830140.1968907284339720.0984453642169858
450.8888813862915010.2222372274169980.111118613708499
460.871176595753530.257646808492940.12882340424647
470.8672919013033530.2654161973932940.132708098696647
480.865981204726850.2680375905462980.134018795273149
490.8394180245055020.3211639509889950.160581975494498
500.8165668189808540.3668663620382920.183433181019146
510.805554996386770.388890007226460.19444500361323
520.78562084333710.42875831332580.2143791566629
530.7644195358910980.4711609282178030.235580464108902
540.7273443827352650.545311234529470.272655617264735
550.7078181379163050.584363724167390.292181862083695
560.6752141642455180.6495716715089650.324785835754482
570.6405703508648190.7188592982703620.359429649135181
580.6496325351143520.7007349297712970.350367464885648
590.6539647817089130.6920704365821740.346035218291087
600.6125438464409470.7749123071181060.387456153559053
610.5740151318236950.851969736352610.425984868176305
620.6062699931369660.7874600137260670.393730006863034
630.5705528972616280.8588942054767450.429447102738372
640.5302971351435810.9394057297128390.469702864856419
650.4897270762283690.9794541524567390.510272923771631
660.467384883150130.934769766300260.53261511684987
670.4386273935383160.8772547870766310.561372606461684
680.407926432507890.815852865015780.59207356749211
690.4524602327870360.9049204655740730.547539767212964
700.7776677375973940.4446645248052130.222332262402606
710.7897375662327460.4205248675345070.210262433767254
720.771419831710370.4571603365792590.22858016828963
730.8067260155119240.3865479689761520.193273984488076
740.8108074558129650.378385088374070.189192544187035
750.7831670712298640.4336658575402720.216832928770136
760.7681704273493210.4636591453013570.231829572650679
770.7469199729527120.5061600540945760.253080027047288
780.7321929631955510.5356140736088980.267807036804449
790.704135360196460.591729279607080.29586463980354
800.750721330032380.498557339935240.24927866996762
810.7665065725754750.466986854849050.233493427424525
820.7434272757340710.5131454485318580.256572724265929
830.7124179325074220.5751641349851550.287582067492578
840.696096729139660.607806541720680.30390327086034
850.6776467968310890.6447064063378220.322353203168911
860.6523754855996860.6952490288006280.347624514400314
870.621557537292810.756884925414380.37844246270719
880.5852385579370650.829522884125870.414761442062935
890.6770558319307780.6458883361384450.322944168069222
900.7375816792468050.524836641506390.262418320753195
910.736112785630830.527774428738340.26388721436917
920.7111077338410310.5777845323179380.288892266158969
930.6796661602427260.6406676795145480.320333839757274
940.6852900209274570.6294199581450870.314709979072543
950.6677449502817070.6645100994365870.332255049718293
960.6539582040046290.6920835919907430.346041795995371
970.8513927929787590.2972144140424830.148607207021241
980.84793621466680.3041275706663990.152063785333199
990.9305042552419130.1389914895161740.0694957447580869
1000.9242690859624980.1514618280750040.0757309140375021
1010.9118944717733380.1762110564533250.0881055282266624
1020.9118031923041550.176393615391690.0881968076958452
1030.902855041844910.1942899163101790.0971449581550897
1040.9094774939033090.1810450121933830.0905225060966914
1050.9117890906354250.176421818729150.0882109093645749
1060.9234289993324890.1531420013350220.0765710006675108
1070.9543703431835870.09125931363282550.0456296568164127
1080.9717294671858670.05654106562826540.0282705328141327
1090.9665696692991960.06686066140160770.0334303307008039
1100.960574227963840.07885154407231840.0394257720361592
1110.954525645004470.09094870999106210.0454743549955311
1120.9961621721263060.007675655747388570.00383782787369429
1130.9958730745854030.008253850829193720.00412692541459686
1140.9992550726437920.001489854712416970.000744927356208483
1150.9998132400103890.0003735199792223050.000186759989611152
1160.9997966998272020.0004066003455954190.00020330017279771
1170.9997412699123530.0005174601752936380.000258730087646819
1180.9996458047472230.0007083905055536650.000354195252776832
1190.9995156733900630.0009686532198737380.000484326609936869
1200.9994710594229620.001057881154076380.000528940577038192
1210.9993542222081440.001291555583712750.000645777791856375
1220.9991325420336830.00173491593263490.000867457966317449
1230.9989096011735360.002180797652928150.00109039882646407
1240.9985948906225040.002810218754992320.00140510937749616
1250.9986727249466180.002654550106764060.00132727505338203
1260.9983431145137050.003313770972589010.00165688548629451
1270.9978586147420980.004282770515804070.00214138525790203
1280.9981110655925690.003777868814862440.00188893440743122
1290.9989238087803860.00215238243922720.0010761912196136
1300.998639448104340.002721103791318910.00136055189565946
1310.9981991996324470.003601600735106270.00180080036755314
1320.9987589543671930.002482091265613430.00124104563280672
1330.998503321903390.00299335619321970.00149667809660985
1340.998045455420840.00390908915832150.00195454457916075
1350.997969009231890.004061981536221360.00203099076811068
1360.9990419602715420.001916079456916350.000958039728458175
1370.9987829464210010.002434107157997260.00121705357899863
1380.999088559129270.001822881741460290.000911440870730144
1390.998878930423150.002242139153699330.00112106957684966
1400.9985794859468280.002841028106344120.00142051405317206
1410.9981566253362120.00368674932757510.00184337466378755
1420.997607875443410.004784249113178360.00239212455658918
1430.9970442279832690.005911544033462550.00295577201673127
1440.996427400159710.007145199680579420.00357259984028971
1450.9965903242086940.00681935158261280.0034096757913064
1460.9956716410363080.008656717927383130.00432835896369156
1470.994477087760240.01104582447951960.00552291223975979
1480.9929629089350320.01407418212993540.00703709106496771
1490.991276102135430.01744779572913890.00872389786456944
1500.9934775717978160.01304485640436780.0065224282021839
1510.9939730008449470.01205399831010590.00602699915505295
1520.9932550238875230.01348995222495390.00674497611247697
1530.9917122086445040.01657558271099270.00828779135549637
1540.9896835394380130.0206329211239740.010316460561987
1550.9891533216651030.02169335666979410.0108466783348971
1560.9879866447622650.02402671047546910.0120133552377346
1570.9902703549689810.01945929006203790.00972964503101893
1580.9878906516683240.02421869666335170.0121093483316759
1590.9850199715101480.0299600569797040.014980028489852
1600.9879556849759230.02408863004815430.0120443150240772
1610.9881906935790930.02361861284181340.0118093064209067
1620.9897215958104570.02055680837908640.0102784041895432
1630.9899564139222240.02008717215555210.0100435860777761
1640.991798315354030.01640336929194150.00820168464597076
1650.9903467384478490.01930652310430240.00965326155215122
1660.9890103041456770.02197939170864580.0109896958543229
1670.9864311370172240.02713772596555190.0135688629827759
1680.9994780814012070.001043837197586450.000521918598793224
1690.9994039929541770.001192014091646080.00059600704582304
1700.999186348535680.001627302928639070.000813651464319534
1710.999081052095120.001837895809759010.000918947904879503
1720.9987678987746250.002464202450750140.00123210122537507
1730.9990873232328060.001825353534387520.00091267676719376
1740.9992110818117820.001577836376436320.000788918188218158
1750.9995081345816390.0009837308367218090.000491865418360904
1760.9993311418418870.001337716316227030.000668858158113514
1770.9994329143645650.001134171270870480.00056708563543524
1780.9992200577768080.001559884446383790.000779942223191893
1790.9997451991636750.0005096016726497630.000254800836324881
1800.9996835628844270.0006328742311462410.00031643711557312
1810.9995636911848630.0008726176302743160.000436308815137158
1820.9994012276735740.001197544652851260.00059877232642563
1830.9991962530651850.001607493869629250.000803746934814623
1840.9990899039756070.001820192048786710.000910096024393355
1850.9999691207879316.17584241372389e-053.08792120686194e-05
1860.9999563045064078.73909871861563e-054.36954935930782e-05
1870.9999438177673390.0001123644653226915.61822326613456e-05
1880.9999222538358550.0001554923282896917.77461641448456e-05
1890.9998892106262330.0002215787475343480.000110789373767174
1900.9999903016560641.93966878728713e-059.69834393643565e-06
1910.9999979835810844.03283783176475e-062.01641891588238e-06
1920.9999971542774655.69144507047712e-062.84572253523856e-06
1930.9999955376658198.92466836231908e-064.46233418115954e-06
1940.9999976380806744.72383865267201e-062.361919326336e-06
1950.9999971220529355.75589413019197e-062.87794706509599e-06
1960.9999954161035839.16779283361908e-064.58389641680954e-06
1970.9999946469104851.07061790294643e-055.35308951473213e-06
1980.9999927161582321.45676835353148e-057.28384176765742e-06
1990.999990831249431.83375011398825e-059.16875056994124e-06
2000.9999890653864422.18692271159495e-051.09346135579747e-05
2010.999982924618633.41507627400612e-051.70753813700306e-05
2020.9999747052225535.05895548941371e-052.52947774470685e-05
2030.9999660904317046.78191365913647e-053.39095682956824e-05
2040.9999619789469647.60421060718577e-053.80210530359289e-05
2050.99994426068290.0001114786341994745.5739317099737e-05
2060.9999635294735937.2941052813977e-053.64705264069885e-05
2070.9999467444203310.0001065111593377965.32555796688978e-05
2080.9999229987721750.0001540024556497047.70012278248519e-05
2090.9998889724797260.0002220550405488750.000111027520274437
2100.9998791766110840.0002416467778318980.000120823388915949
2110.9998189969983330.0003620060033349690.000181003001667485
2120.9997330803758960.0005338392482083030.000266919624104151
2130.9996053353293930.0007893293412142420.000394664670607121
2140.9995251024051970.000949795189606580.00047489759480329
2150.999390093339680.00121981332064010.000609906660320051
2160.999575137215070.000849725569861580.00042486278493079
2170.9994620781014250.001075843797149930.000537921898574966
2180.9993608120651920.001278375869616110.000639187934808056
2190.999171623180080.001656753639841420.000828376819920709
2200.9990273275983480.001945344803304940.000972672401652469
2210.9989687266408680.002062546718264690.00103127335913234
2220.999079032359380.001841935281239830.000920967640619915
2230.998704841157910.002590317684179060.00129515884208953
2240.9981889722249620.003622055550075910.00181102777503796
2250.9976202463940330.004759507211934310.00237975360596715
2260.9977618770975770.004476245804845540.00223812290242277
2270.9986720801111530.002655839777693750.00132791988884688
2280.9985325190901420.002934961819715450.00146748090985772
2290.998106121768310.003787756463379920.00189387823168996
2300.999194087750010.001611824499979380.000805912249989689
2310.9990887574599980.001822485080003430.000911242540001713
2320.9986269632380930.00274607352381470.00137303676190735
2330.9984273276933550.003145344613290530.00157267230664526
2340.9976895420217310.004620915956537760.00231045797826888
2350.9975919206279610.004816158744077340.00240807937203867
2360.9964603875028230.007079224994353380.00353961249717669
2370.996364562135520.007270875728960560.00363543786448028
2380.999923314266110.0001533714677801937.66857338900964e-05
2390.9998876444947520.0002247110104963170.000112355505248159
2400.9998085435517830.0003829128964336610.000191456448216831
2410.9998655470682730.0002689058634544270.000134452931727213
2420.9998440677012490.0003118645975024450.000155932298751222
2430.9997442932180270.0005114135639464140.000255706781973207
2440.9996204949363150.000759010127370890.000379505063685445
2450.9994746574675220.00105068506495520.000525342532477598
2460.9993931976699030.001213604660194510.000606802330097257
2470.99904683400870.001906331982599220.000953165991299612
2480.998440151926870.003119696146258240.00155984807312912
2490.9974758565074570.00504828698508690.00252414349254345
2500.9965601122636150.006879775472770490.00343988773638524
2510.9945790300065320.01084193998693690.00542096999346844
2520.9915647370604420.0168705258791150.0084352629395575
2530.9870884198264050.025823160347190.012911580173595
2540.984114677540340.03177064491931890.0158853224596595
2550.9858251772552580.02834964548948440.0141748227447422
2560.9797747634857120.04045047302857660.0202252365142883
2570.973587493368820.052825013262360.02641250663118
2580.975192720868570.04961455826286160.0248072791314308
2590.9641292518235280.07174149635294440.0358707481764722
2600.9579110498210030.08417790035799470.0420889501789973
2610.9906816785063370.01863664298732650.00931832149366326
2620.9891609804009360.02167803919812790.0108390195990639
2630.9825887832802060.03482243343958770.0174112167197938
2640.9809076618972360.03818467620552890.0190923381027645
2650.9875482203557970.02490355928840640.0124517796442032
2660.9912280081196470.01754398376070570.00877199188035287
2670.9841946277003010.03161074459939720.0158053722996986
2680.9769456483418260.04610870331634780.0230543516581739
2690.9764928953894420.04701420922111610.0235071046105581
2700.9630376590587640.07392468188247280.0369623409412364
2710.9407329614848740.1185340770302520.0592670385151262
2720.909054824794690.181890350410620.09094517520531
2730.8424740489918140.3150519020163720.157525951008186
2740.8395946713408840.3208106573182320.160405328659116
2750.8025508977724760.3948982044550480.197449102227524
2760.7181362630064230.5637274739871540.281863736993577






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1190.450757575757576NOK
5% type I error level1700.643939393939394NOK
10% type I error level1840.696969696969697NOK

\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 & 119 & 0.450757575757576 & NOK \tabularnewline
5% type I error level & 170 & 0.643939393939394 & NOK \tabularnewline
10% type I error level & 184 & 0.696969696969697 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=155003&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]119[/C][C]0.450757575757576[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]170[/C][C]0.643939393939394[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]184[/C][C]0.696969696969697[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=155003&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=155003&T=6

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


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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1190.450757575757576NOK
5% type I error level1700.643939393939394NOK
10% type I error level1840.696969696969697NOK


Figures (Output of Computation)

Figure 1
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 2
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 3
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 4
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 5
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 6
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 7
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 8
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 9
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 10
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Input Parameters & R Code

Parameters (Session):
par1 = 10 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 10 ; 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')
}