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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationWed, 14 Dec 2011 06:02:24 -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/t132386058253t0rl7cbhd6n3f.htm/, Retrieved Wed, 01 May 2024 20:50:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=154849, Retrieved Wed, 01 May 2024 20:50:16 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact72

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [] [2011-12-14 11:02:24] [1e640daebbc6b5a89eef23229b5a56d5] [Current]
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Dataset

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

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 9 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
R Framework error message & 
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154849&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]9 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154849&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154849&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 time9 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.






Multiple Linear Regression - Estimated Regression Equation
pageviews[t] = + 98.5914653509018 + 0.000456138043624981time_in_rfc[t] + 3.27435696175246logins[t] + 1.74141238701508compendium_views_info[t] + 1.53356339065065compendium_views_pr[t] + 6.16369729470251shared_compendiums[t] + 1.82275981109689blogged_computations[t] + 0.256482482616687`compendiums_reviewed `[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
pageviews[t] =  +  98.5914653509018 +  0.000456138043624981time_in_rfc[t] +  3.27435696175246logins[t] +  1.74141238701508compendium_views_info[t] +  1.53356339065065compendium_views_pr[t] +  6.16369729470251shared_compendiums[t] +  1.82275981109689blogged_computations[t] +  0.256482482616687`compendiums_reviewed
`[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154849&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]pageviews[t] =  +  98.5914653509018 +  0.000456138043624981time_in_rfc[t] +  3.27435696175246logins[t] +  1.74141238701508compendium_views_info[t] +  1.53356339065065compendium_views_pr[t] +  6.16369729470251shared_compendiums[t] +  1.82275981109689blogged_computations[t] +  0.256482482616687`compendiums_reviewed
`[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154849&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154849&T=1

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


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

Multiple Linear Regression - Estimated Regression Equation
pageviews[t] = + 98.5914653509018 + 0.000456138043624981time_in_rfc[t] + 3.27435696175246logins[t] + 1.74141238701508compendium_views_info[t] + 1.53356339065065compendium_views_pr[t] + 6.16369729470251shared_compendiums[t] + 1.82275981109689blogged_computations[t] + 0.256482482616687`compendiums_reviewed `[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)98.591465350901825.0233363.940.0001035.1e-05
time_in_rfc0.0004561380436249810.0003371.35480.1765670.088283
logins3.274356961752460.4105667.975200
compendium_views_info1.741412387015080.08344620.868700
compendium_views_pr1.533563390650650.2229586.878300
shared_compendiums6.163697294702513.8401961.6050.1096070.054803
blogged_computations1.822759811096890.5187143.5140.0005140.000257
`compendiums_reviewed `0.2564824826166871.5755440.16280.8708010.4354

\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) & 98.5914653509018 & 25.023336 & 3.94 & 0.000103 & 5.1e-05 \tabularnewline
time_in_rfc & 0.000456138043624981 & 0.000337 & 1.3548 & 0.176567 & 0.088283 \tabularnewline
logins & 3.27435696175246 & 0.410566 & 7.9752 & 0 & 0 \tabularnewline
compendium_views_info & 1.74141238701508 & 0.083446 & 20.8687 & 0 & 0 \tabularnewline
compendium_views_pr & 1.53356339065065 & 0.222958 & 6.8783 & 0 & 0 \tabularnewline
shared_compendiums & 6.16369729470251 & 3.840196 & 1.605 & 0.109607 & 0.054803 \tabularnewline
blogged_computations & 1.82275981109689 & 0.518714 & 3.514 & 0.000514 & 0.000257 \tabularnewline
`compendiums_reviewed
` & 0.256482482616687 & 1.575544 & 0.1628 & 0.870801 & 0.4354 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154849&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]98.5914653509018[/C][C]25.023336[/C][C]3.94[/C][C]0.000103[/C][C]5.1e-05[/C][/ROW]
[ROW][C]time_in_rfc[/C][C]0.000456138043624981[/C][C]0.000337[/C][C]1.3548[/C][C]0.176567[/C][C]0.088283[/C][/ROW]
[ROW][C]logins[/C][C]3.27435696175246[/C][C]0.410566[/C][C]7.9752[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]compendium_views_info[/C][C]1.74141238701508[/C][C]0.083446[/C][C]20.8687[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]compendium_views_pr[/C][C]1.53356339065065[/C][C]0.222958[/C][C]6.8783[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]shared_compendiums[/C][C]6.16369729470251[/C][C]3.840196[/C][C]1.605[/C][C]0.109607[/C][C]0.054803[/C][/ROW]
[ROW][C]blogged_computations[/C][C]1.82275981109689[/C][C]0.518714[/C][C]3.514[/C][C]0.000514[/C][C]0.000257[/C][/ROW]
[ROW][C]`compendiums_reviewed
`[/C][C]0.256482482616687[/C][C]1.575544[/C][C]0.1628[/C][C]0.870801[/C][C]0.4354[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154849&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154849&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)98.591465350901825.0233363.940.0001035.1e-05
time_in_rfc0.0004561380436249810.0003371.35480.1765670.088283
logins3.274356961752460.4105667.975200
compendium_views_info1.741412387015080.08344620.868700
compendium_views_pr1.533563390650650.2229586.878300
shared_compendiums6.163697294702513.8401961.6050.1096070.054803
blogged_computations1.822759811096890.5187143.5140.0005140.000257
`compendiums_reviewed `0.2564824826166871.5755440.16280.8708010.4354






Multiple Linear Regression - Regression Statistics
Multiple R0.976493844707771
R-squared0.953540228752165
Adjusted R-squared0.952382867902575
F-TEST (value)823.891899479581
F-TEST (DF numerator)7
F-TEST (DF denominator)281
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation160.647948651462
Sum Squared Residuals7251981.51706426

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.976493844707771 \tabularnewline
R-squared & 0.953540228752165 \tabularnewline
Adjusted R-squared & 0.952382867902575 \tabularnewline
F-TEST (value) & 823.891899479581 \tabularnewline
F-TEST (DF numerator) & 7 \tabularnewline
F-TEST (DF denominator) & 281 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 160.647948651462 \tabularnewline
Sum Squared Residuals & 7251981.51706426 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154849&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.976493844707771[/C][/ROW]
[ROW][C]R-squared[/C][C]0.953540228752165[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.952382867902575[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]823.891899479581[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]7[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]281[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]160.647948651462[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]7251981.51706426[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154849&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154849&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 R0.976493844707771
R-squared0.953540228752165
Adjusted R-squared0.952382867902575
F-TEST (value)823.891899479581
F-TEST (DF numerator)7
F-TEST (DF denominator)281
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation160.647948651462
Sum Squared Residuals7251981.51706426






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
114181362.1596929157955.8403070842104
28691076.24178116784-207.241781167838
315301599.12273950533-69.1227395053311
421722564.32549580903-392.325495809026
5901918.400531501058-17.4005315010576
6463535.433299873128-72.4332998731281
732013619.35567167972-418.355671679724
8371436.390173440956-65.390173440956
911921171.5341828761420.4658171238599
1015831670.10297715234-87.1029771523396
1114391391.5687919172147.4312080827944
1217641887.86972788854-123.869727888536
1314951561.88528069074-66.8852806907386
1413731464.43579885956-91.435798859555
1521872307.55565925183-120.555659251831
1614911496.55951870699-5.55951870699226
1740413717.33937867234323.660621327655
1817061727.44222247198-21.4422224719807
1921522384.38011382571-232.380113825711
2010361169.51768907851-133.517689078514
2118821707.74329385984174.256706140161
2219291823.08841460725105.911585392746
2322422469.76073444072-227.760734440716
2412201184.1910738363635.8089261636443
2512891285.301114169363.69888583063966
2625152601.68585413475-86.6858541347462
2721472138.082717186268.91728281374322
2823522432.17194052433-80.1719405243338
2916381612.5701394748725.4298605251346
3012221262.78049789781-40.7804978978102
3118121909.59344619168-97.5934461916787
3216771769.53626820162-92.5362682016249
3315791538.5006368229440.499363177057
3417311850.00086941522-119.000869415225
35807850.755811123383-43.7558111233829
3624522518.80288303255-66.8028830325503
37829791.34387570827737.656124291723
3819402015.48854202169-75.4885420216906
3926622463.24313265429198.75686734571
40186280.961210783453-94.9612107834526
4114991491.5493581547.45064184599817
42865817.10568609179747.8943139082031
4317931546.16350626959246.836493730412
4425272564.42583759842-37.4258375984193
4527472960.90823302394-213.908233023936
4613241532.82480347066-208.824803470661
4727022386.95118950893315.04881049107
4813831543.6923536412-160.692353641204
4911791047.37788463206131.622115367938
5020992144.73309406344-45.7330940634365
5143084756.78383486942-448.78383486942
52918989.588471923593-71.5884719235928
5318311645.30430484543185.69569515457
5433732999.67093101163373.329068988368
5517131864.71797628118-151.717976281183
5614381373.6029144211264.39708557888
57496614.116276033704-118.116276033704
5822532739.4736083271-486.473608327095
59744733.89585162573810.1041483742615
6011611328.97980072345-167.979800723452
6123522164.66336272415187.336637275852
6221441759.55749113186384.442508868137
6346913500.795008213921190.20499178608
6411121107.335757989524.66424201048259
6526942532.63343909765161.366560902355
6619732268.08399965003-295.083999650029
6717691891.06532714975-122.065327149746
6831482842.61199987024305.388000129761
6924742559.1401851189-85.1401851188994
7020842197.79454257127-113.794542571266
7119541878.3084912348575.6915087651525
7212261421.99225210079-195.992252100791
7313891234.19992993254154.800070067458
7414961533.48361343849-37.4836134384868
7522692140.73488579055128.265114209446
7618331918.83685792685-85.8368579268488
7712681456.15968637873-188.159686378728
7819431801.9257000751141.074299924899
798931050.16187739301-157.161877393006
8017621645.71938132772116.280618672279
8114031663.63315699121-260.633156991214
8214251436.44429741232-11.4442974123174
8318572209.80358352099-352.803583520993
8418402002.85928864525-162.859288645249
8515021457.5880368695644.4119631304401
8614411367.4825479514373.5174520485727
8714201494.82972788227-74.8297278822683
8814161340.4603741123875.5396258876157
8929702680.13068042694289.869319573062
9013171638.76906100243-321.769061002428
9116441527.59508349727116.404916502727
928701117.28090128073-247.280901280726
9316541838.42271230003-184.422712300027
9410541077.25347481577-23.2534748157662
95937860.26141701935976.7385829806414
9630043245.11518490017-241.115184900167
9720081988.2831961886419.7168038113635
9825472398.58864440357148.411355596435
9918851776.01254560349108.987454396511
10016261622.960281640983.03971835902
10114681379.7249692693388.2750307306675
10224452292.31865014354152.681349856462
10319642090.99982620853-126.99982620853
10413811358.5009751816722.4990248183296
10513691402.92035277262-33.9203527726175
10616591794.61573095166-135.61573095166
10728882659.22249894935228.777501050649
10812901041.90015271967248.099847280327
10928452927.46213081778-82.4621308177809
11019821979.827852963852.17214703614585
11119041949.58719132995-45.5871913299505
11213911605.09912424385-214.099124243852
113602656.006620821822-54.006620821822
11417431681.4295601031661.5704398968439
11515591763.58766194642-204.587661946421
11620142217.22824893693-203.228248936933
11721432225.22388233715-82.2238823371499
11821461963.46618066969182.533819330306
119874889.095522052561-15.0955220525607
12015901512.6291627813977.3708372186063
12115901449.00744609251140.992553907492
12212101294.58706205871-84.5870620587129
12320722032.7616860981339.2383139018678
12412811350.78820198057-69.788201980568
12514011377.6036702582223.3963297417786
126834796.13966633142337.8603336685766
12711051137.06343200133-32.0634320013253
12812721062.44553580594209.554464194059
12919441845.0980496846698.90195031534
130391445.907107745053-54.9071077450534
131761728.47372078439732.5262792156034
13216051656.19913923547-51.19913923547
133530650.755555575207-120.755555575207
13419881697.70243302651290.297566973489
13513861296.3979176868989.6020823131149
13623952529.67237166716-134.672371667164
137387425.189081639312-38.1890816393117
13817421789.16589685187-47.1658968518732
139620584.238920442835.7610795572004
140449592.015776584641-143.015776584641
141800826.912885335239-26.9128853352392
14216841473.40860095938210.591399040618
14310501095.59034688573-45.5903468857306
14426992620.2711540960378.7288459039653
14516061540.4110504499465.5889495500611
14615021289.07369180763212.926308192365
14712041263.18146610814-59.1814661081361
14811381122.2757171899615.724282810038
149568818.941593218049-250.941593218049
15014591426.4657342799132.5342657200881
15121582212.2716126178-54.2716126178009
15211111199.56951598475-88.5695159847504
15314211298.63427385552122.365726144481
15428333102.39761178262-269.397611782617
15519552102.46473378932-147.464733789322
15629222776.61333560496145.386664395037
15710021139.02574645302-137.025746453015
15810601157.56929437099-97.5692943709893
159956986.56460811963-30.5646081196304
16021862607.73486680659-421.734866806592
16136043363.73977602419240.260223975806
16210351064.8645528517-29.8645528517016
16314171515.87023141619-98.8702314161948
16432613460.05021893744-199.050218937441
16515871634.1727128458-47.1727128457996
16614241453.78909485106-29.7890948510558
16717011792.00720362611-91.0072036261077
16812491369.98713675596-120.987136755959
169946926.88706038957619.1129396104239
17019261779.82630619377146.173693806228
17133523304.9559161110447.0440838889554
17216411682.57829307236-41.5782930723561
17320351786.10992221067248.890077789329
17423122154.32894135589157.671058644112
17513691555.22390637897-186.223906378967
17615771585.74763654778-8.74763654778217
17722012167.7999638521933.2000361478096
178961938.67254571366722.3274542863331
17919001873.1262670402526.8737329597454
18012541264.29452757336-10.2945275733624
18113351280.5442452115354.455754788466
18215971474.25352317525122.746476824747
183207293.345882693859-86.3458826938593
18416451572.105383168572.8946168314958
18524292348.6665404098380.3334595901685
186151259.870823252514-108.870823252514
187474670.278287819198-196.278287819198
188141247.981731769761-106.981731769761
18916391369.48011475152269.519885248477
190872852.55280982722919.4471901727707
19113181245.6445541689372.3554458310748
19210181162.08559871555-144.085598715549
19313831304.0443547790578.9556452209518
19413141163.31117349931150.688826500688
19513351341.78625696571-6.78625696570969
19614031318.1673332336984.8326667663097
197910987.927546767541-77.9275467675408
198616660.844661363772-44.8446613637719
19914071430.30126196624-23.3012619662417
200771803.802695230034-32.8026952300338
201766785.354283392297-19.3542833922967
202473504.53940207577-31.53940207577
20313761420.48889800144-44.4888980014422
20412321210.5739683857521.4260316142547
20515211490.2741573167730.7258426832285
206572572.817536002207-0.81753600220663
2071059901.636719400001157.363280599999
20815441586.97661939273-42.9766193927345
20912301209.296307678120.703692321895
21012061203.410705358562.58929464144286
21112051113.6793719552291.3206280447844
21212551013.02236219132241.977637808677
213613607.6489534477545.35104655224561
214721810.699615799355-89.6996157993546
21511091019.3945375466589.6054624533488
216740690.69221830804849.3077816919517
21711261118.700155332087.2998446679222
218728799.511835395338-71.5118353953381
219689720.660909028148-31.6609090281485
220592614.847146121605-22.8471461216052
221995912.65343337698382.3465666230175
22216131185.76936975335427.230630246647
22320481747.06374002901300.936259970988
224705631.47644534316873.5235546568323
225301387.667796574474-86.6677965744739
22618031718.2705568714184.7294431285858
227799826.593365348377-27.5933653483771
228861936.011940961039-75.0119409610391
22911861068.12264938918117.87735061082
23014511107.59188860895343.40811139105
231628568.57005371232959.4299462876709
2321161972.665133273747188.334866726253
23314631338.83573480007124.164265199934
234742719.41029380073422.5897061992663
2359791061.9965331093-82.9965331093011
236675698.026927977939-23.026927977939
23712411180.9387070287460.0612929712636
238676644.78651463761631.2134853623841
23910491051.52147765924-2.52147765924063
240620674.849838167517-54.8498381675174
2411081967.156456011414113.843543988586
24216881455.84299970569232.15700029431
243736744.800747149168-8.8007471491682
244617674.677113350832-57.6771133508318
245812854.382535201088-42.3825352010878
24610511030.9069304934220.0930695065785
24716561407.5937974756248.406202524403
248705776.756169436956-71.7561694369562
2499451019.58715724673-74.5871572467288
250554649.952925452291-95.952925452291
25115971587.369773090759.63022690925464
252982969.71924932977912.2807506702211
253222307.065647752925-85.0656477529249
25412121215.28580905026-3.28580905026294
25511431202.28336055068-59.2833605506789
256435515.785223689894-80.7852236898943
257532547.129687682798-15.1296876827976
258882949.226986230923-67.2269862309228
259608622.488883490513-14.4888834905133
260459461.662822770323-2.66282277032265
261578599.439253649831-21.4392536498305
262826785.02224736954540.9777526304554
263509456.30308880334252.6969111966581
264717660.49527436543556.5047256345648
265637686.610692225194-49.6106922251942
266857836.31987515697620.6801248430244
267830863.824177766975-33.8241777669748
268652812.504388090825-160.504388090825
269707803.483728837087-96.4837288370869
2709541038.1756373186-84.1756373185982
27114611299.71982734821161.280172651788
272672732.454152357278-60.4541523572782
273778798.727911877647-20.7279118776475
27411411119.3472612128321.6527387871724
275680625.4641441365654.5358558634401
2761090984.511589478815105.488410521185
277616536.28542239768879.7145776023117
278285331.546755005533-46.5467550055334
27911451020.65506343499124.344936565013
280733761.308199328375-28.3081993283753
281888878.9737771678329.02622283216822
282849873.593025332318-24.5930253323179
28311821148.0749498367233.9250501632764
284528561.931148538585-33.9311485385851
285642708.272983930223-66.2729839302226
286947562.496019990736384.503980009264
287819687.442818956098131.557181043902
288757673.75278708208483.2472129179156
289894853.01053683687740.9894631631226

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 1418 & 1362.15969291579 & 55.8403070842104 \tabularnewline
2 & 869 & 1076.24178116784 & -207.241781167838 \tabularnewline
3 & 1530 & 1599.12273950533 & -69.1227395053311 \tabularnewline
4 & 2172 & 2564.32549580903 & -392.325495809026 \tabularnewline
5 & 901 & 918.400531501058 & -17.4005315010576 \tabularnewline
6 & 463 & 535.433299873128 & -72.4332998731281 \tabularnewline
7 & 3201 & 3619.35567167972 & -418.355671679724 \tabularnewline
8 & 371 & 436.390173440956 & -65.390173440956 \tabularnewline
9 & 1192 & 1171.53418287614 & 20.4658171238599 \tabularnewline
10 & 1583 & 1670.10297715234 & -87.1029771523396 \tabularnewline
11 & 1439 & 1391.56879191721 & 47.4312080827944 \tabularnewline
12 & 1764 & 1887.86972788854 & -123.869727888536 \tabularnewline
13 & 1495 & 1561.88528069074 & -66.8852806907386 \tabularnewline
14 & 1373 & 1464.43579885956 & -91.435798859555 \tabularnewline
15 & 2187 & 2307.55565925183 & -120.555659251831 \tabularnewline
16 & 1491 & 1496.55951870699 & -5.55951870699226 \tabularnewline
17 & 4041 & 3717.33937867234 & 323.660621327655 \tabularnewline
18 & 1706 & 1727.44222247198 & -21.4422224719807 \tabularnewline
19 & 2152 & 2384.38011382571 & -232.380113825711 \tabularnewline
20 & 1036 & 1169.51768907851 & -133.517689078514 \tabularnewline
21 & 1882 & 1707.74329385984 & 174.256706140161 \tabularnewline
22 & 1929 & 1823.08841460725 & 105.911585392746 \tabularnewline
23 & 2242 & 2469.76073444072 & -227.760734440716 \tabularnewline
24 & 1220 & 1184.19107383636 & 35.8089261636443 \tabularnewline
25 & 1289 & 1285.30111416936 & 3.69888583063966 \tabularnewline
26 & 2515 & 2601.68585413475 & -86.6858541347462 \tabularnewline
27 & 2147 & 2138.08271718626 & 8.91728281374322 \tabularnewline
28 & 2352 & 2432.17194052433 & -80.1719405243338 \tabularnewline
29 & 1638 & 1612.57013947487 & 25.4298605251346 \tabularnewline
30 & 1222 & 1262.78049789781 & -40.7804978978102 \tabularnewline
31 & 1812 & 1909.59344619168 & -97.5934461916787 \tabularnewline
32 & 1677 & 1769.53626820162 & -92.5362682016249 \tabularnewline
33 & 1579 & 1538.50063682294 & 40.499363177057 \tabularnewline
34 & 1731 & 1850.00086941522 & -119.000869415225 \tabularnewline
35 & 807 & 850.755811123383 & -43.7558111233829 \tabularnewline
36 & 2452 & 2518.80288303255 & -66.8028830325503 \tabularnewline
37 & 829 & 791.343875708277 & 37.656124291723 \tabularnewline
38 & 1940 & 2015.48854202169 & -75.4885420216906 \tabularnewline
39 & 2662 & 2463.24313265429 & 198.75686734571 \tabularnewline
40 & 186 & 280.961210783453 & -94.9612107834526 \tabularnewline
41 & 1499 & 1491.549358154 & 7.45064184599817 \tabularnewline
42 & 865 & 817.105686091797 & 47.8943139082031 \tabularnewline
43 & 1793 & 1546.16350626959 & 246.836493730412 \tabularnewline
44 & 2527 & 2564.42583759842 & -37.4258375984193 \tabularnewline
45 & 2747 & 2960.90823302394 & -213.908233023936 \tabularnewline
46 & 1324 & 1532.82480347066 & -208.824803470661 \tabularnewline
47 & 2702 & 2386.95118950893 & 315.04881049107 \tabularnewline
48 & 1383 & 1543.6923536412 & -160.692353641204 \tabularnewline
49 & 1179 & 1047.37788463206 & 131.622115367938 \tabularnewline
50 & 2099 & 2144.73309406344 & -45.7330940634365 \tabularnewline
51 & 4308 & 4756.78383486942 & -448.78383486942 \tabularnewline
52 & 918 & 989.588471923593 & -71.5884719235928 \tabularnewline
53 & 1831 & 1645.30430484543 & 185.69569515457 \tabularnewline
54 & 3373 & 2999.67093101163 & 373.329068988368 \tabularnewline
55 & 1713 & 1864.71797628118 & -151.717976281183 \tabularnewline
56 & 1438 & 1373.60291442112 & 64.39708557888 \tabularnewline
57 & 496 & 614.116276033704 & -118.116276033704 \tabularnewline
58 & 2253 & 2739.4736083271 & -486.473608327095 \tabularnewline
59 & 744 & 733.895851625738 & 10.1041483742615 \tabularnewline
60 & 1161 & 1328.97980072345 & -167.979800723452 \tabularnewline
61 & 2352 & 2164.66336272415 & 187.336637275852 \tabularnewline
62 & 2144 & 1759.55749113186 & 384.442508868137 \tabularnewline
63 & 4691 & 3500.79500821392 & 1190.20499178608 \tabularnewline
64 & 1112 & 1107.33575798952 & 4.66424201048259 \tabularnewline
65 & 2694 & 2532.63343909765 & 161.366560902355 \tabularnewline
66 & 1973 & 2268.08399965003 & -295.083999650029 \tabularnewline
67 & 1769 & 1891.06532714975 & -122.065327149746 \tabularnewline
68 & 3148 & 2842.61199987024 & 305.388000129761 \tabularnewline
69 & 2474 & 2559.1401851189 & -85.1401851188994 \tabularnewline
70 & 2084 & 2197.79454257127 & -113.794542571266 \tabularnewline
71 & 1954 & 1878.30849123485 & 75.6915087651525 \tabularnewline
72 & 1226 & 1421.99225210079 & -195.992252100791 \tabularnewline
73 & 1389 & 1234.19992993254 & 154.800070067458 \tabularnewline
74 & 1496 & 1533.48361343849 & -37.4836134384868 \tabularnewline
75 & 2269 & 2140.73488579055 & 128.265114209446 \tabularnewline
76 & 1833 & 1918.83685792685 & -85.8368579268488 \tabularnewline
77 & 1268 & 1456.15968637873 & -188.159686378728 \tabularnewline
78 & 1943 & 1801.9257000751 & 141.074299924899 \tabularnewline
79 & 893 & 1050.16187739301 & -157.161877393006 \tabularnewline
80 & 1762 & 1645.71938132772 & 116.280618672279 \tabularnewline
81 & 1403 & 1663.63315699121 & -260.633156991214 \tabularnewline
82 & 1425 & 1436.44429741232 & -11.4442974123174 \tabularnewline
83 & 1857 & 2209.80358352099 & -352.803583520993 \tabularnewline
84 & 1840 & 2002.85928864525 & -162.859288645249 \tabularnewline
85 & 1502 & 1457.58803686956 & 44.4119631304401 \tabularnewline
86 & 1441 & 1367.48254795143 & 73.5174520485727 \tabularnewline
87 & 1420 & 1494.82972788227 & -74.8297278822683 \tabularnewline
88 & 1416 & 1340.46037411238 & 75.5396258876157 \tabularnewline
89 & 2970 & 2680.13068042694 & 289.869319573062 \tabularnewline
90 & 1317 & 1638.76906100243 & -321.769061002428 \tabularnewline
91 & 1644 & 1527.59508349727 & 116.404916502727 \tabularnewline
92 & 870 & 1117.28090128073 & -247.280901280726 \tabularnewline
93 & 1654 & 1838.42271230003 & -184.422712300027 \tabularnewline
94 & 1054 & 1077.25347481577 & -23.2534748157662 \tabularnewline
95 & 937 & 860.261417019359 & 76.7385829806414 \tabularnewline
96 & 3004 & 3245.11518490017 & -241.115184900167 \tabularnewline
97 & 2008 & 1988.28319618864 & 19.7168038113635 \tabularnewline
98 & 2547 & 2398.58864440357 & 148.411355596435 \tabularnewline
99 & 1885 & 1776.01254560349 & 108.987454396511 \tabularnewline
100 & 1626 & 1622.96028164098 & 3.03971835902 \tabularnewline
101 & 1468 & 1379.72496926933 & 88.2750307306675 \tabularnewline
102 & 2445 & 2292.31865014354 & 152.681349856462 \tabularnewline
103 & 1964 & 2090.99982620853 & -126.99982620853 \tabularnewline
104 & 1381 & 1358.50097518167 & 22.4990248183296 \tabularnewline
105 & 1369 & 1402.92035277262 & -33.9203527726175 \tabularnewline
106 & 1659 & 1794.61573095166 & -135.61573095166 \tabularnewline
107 & 2888 & 2659.22249894935 & 228.777501050649 \tabularnewline
108 & 1290 & 1041.90015271967 & 248.099847280327 \tabularnewline
109 & 2845 & 2927.46213081778 & -82.4621308177809 \tabularnewline
110 & 1982 & 1979.82785296385 & 2.17214703614585 \tabularnewline
111 & 1904 & 1949.58719132995 & -45.5871913299505 \tabularnewline
112 & 1391 & 1605.09912424385 & -214.099124243852 \tabularnewline
113 & 602 & 656.006620821822 & -54.006620821822 \tabularnewline
114 & 1743 & 1681.42956010316 & 61.5704398968439 \tabularnewline
115 & 1559 & 1763.58766194642 & -204.587661946421 \tabularnewline
116 & 2014 & 2217.22824893693 & -203.228248936933 \tabularnewline
117 & 2143 & 2225.22388233715 & -82.2238823371499 \tabularnewline
118 & 2146 & 1963.46618066969 & 182.533819330306 \tabularnewline
119 & 874 & 889.095522052561 & -15.0955220525607 \tabularnewline
120 & 1590 & 1512.62916278139 & 77.3708372186063 \tabularnewline
121 & 1590 & 1449.00744609251 & 140.992553907492 \tabularnewline
122 & 1210 & 1294.58706205871 & -84.5870620587129 \tabularnewline
123 & 2072 & 2032.76168609813 & 39.2383139018678 \tabularnewline
124 & 1281 & 1350.78820198057 & -69.788201980568 \tabularnewline
125 & 1401 & 1377.60367025822 & 23.3963297417786 \tabularnewline
126 & 834 & 796.139666331423 & 37.8603336685766 \tabularnewline
127 & 1105 & 1137.06343200133 & -32.0634320013253 \tabularnewline
128 & 1272 & 1062.44553580594 & 209.554464194059 \tabularnewline
129 & 1944 & 1845.09804968466 & 98.90195031534 \tabularnewline
130 & 391 & 445.907107745053 & -54.9071077450534 \tabularnewline
131 & 761 & 728.473720784397 & 32.5262792156034 \tabularnewline
132 & 1605 & 1656.19913923547 & -51.19913923547 \tabularnewline
133 & 530 & 650.755555575207 & -120.755555575207 \tabularnewline
134 & 1988 & 1697.70243302651 & 290.297566973489 \tabularnewline
135 & 1386 & 1296.39791768689 & 89.6020823131149 \tabularnewline
136 & 2395 & 2529.67237166716 & -134.672371667164 \tabularnewline
137 & 387 & 425.189081639312 & -38.1890816393117 \tabularnewline
138 & 1742 & 1789.16589685187 & -47.1658968518732 \tabularnewline
139 & 620 & 584.2389204428 & 35.7610795572004 \tabularnewline
140 & 449 & 592.015776584641 & -143.015776584641 \tabularnewline
141 & 800 & 826.912885335239 & -26.9128853352392 \tabularnewline
142 & 1684 & 1473.40860095938 & 210.591399040618 \tabularnewline
143 & 1050 & 1095.59034688573 & -45.5903468857306 \tabularnewline
144 & 2699 & 2620.27115409603 & 78.7288459039653 \tabularnewline
145 & 1606 & 1540.41105044994 & 65.5889495500611 \tabularnewline
146 & 1502 & 1289.07369180763 & 212.926308192365 \tabularnewline
147 & 1204 & 1263.18146610814 & -59.1814661081361 \tabularnewline
148 & 1138 & 1122.27571718996 & 15.724282810038 \tabularnewline
149 & 568 & 818.941593218049 & -250.941593218049 \tabularnewline
150 & 1459 & 1426.46573427991 & 32.5342657200881 \tabularnewline
151 & 2158 & 2212.2716126178 & -54.2716126178009 \tabularnewline
152 & 1111 & 1199.56951598475 & -88.5695159847504 \tabularnewline
153 & 1421 & 1298.63427385552 & 122.365726144481 \tabularnewline
154 & 2833 & 3102.39761178262 & -269.397611782617 \tabularnewline
155 & 1955 & 2102.46473378932 & -147.464733789322 \tabularnewline
156 & 2922 & 2776.61333560496 & 145.386664395037 \tabularnewline
157 & 1002 & 1139.02574645302 & -137.025746453015 \tabularnewline
158 & 1060 & 1157.56929437099 & -97.5692943709893 \tabularnewline
159 & 956 & 986.56460811963 & -30.5646081196304 \tabularnewline
160 & 2186 & 2607.73486680659 & -421.734866806592 \tabularnewline
161 & 3604 & 3363.73977602419 & 240.260223975806 \tabularnewline
162 & 1035 & 1064.8645528517 & -29.8645528517016 \tabularnewline
163 & 1417 & 1515.87023141619 & -98.8702314161948 \tabularnewline
164 & 3261 & 3460.05021893744 & -199.050218937441 \tabularnewline
165 & 1587 & 1634.1727128458 & -47.1727128457996 \tabularnewline
166 & 1424 & 1453.78909485106 & -29.7890948510558 \tabularnewline
167 & 1701 & 1792.00720362611 & -91.0072036261077 \tabularnewline
168 & 1249 & 1369.98713675596 & -120.987136755959 \tabularnewline
169 & 946 & 926.887060389576 & 19.1129396104239 \tabularnewline
170 & 1926 & 1779.82630619377 & 146.173693806228 \tabularnewline
171 & 3352 & 3304.95591611104 & 47.0440838889554 \tabularnewline
172 & 1641 & 1682.57829307236 & -41.5782930723561 \tabularnewline
173 & 2035 & 1786.10992221067 & 248.890077789329 \tabularnewline
174 & 2312 & 2154.32894135589 & 157.671058644112 \tabularnewline
175 & 1369 & 1555.22390637897 & -186.223906378967 \tabularnewline
176 & 1577 & 1585.74763654778 & -8.74763654778217 \tabularnewline
177 & 2201 & 2167.79996385219 & 33.2000361478096 \tabularnewline
178 & 961 & 938.672545713667 & 22.3274542863331 \tabularnewline
179 & 1900 & 1873.12626704025 & 26.8737329597454 \tabularnewline
180 & 1254 & 1264.29452757336 & -10.2945275733624 \tabularnewline
181 & 1335 & 1280.54424521153 & 54.455754788466 \tabularnewline
182 & 1597 & 1474.25352317525 & 122.746476824747 \tabularnewline
183 & 207 & 293.345882693859 & -86.3458826938593 \tabularnewline
184 & 1645 & 1572.1053831685 & 72.8946168314958 \tabularnewline
185 & 2429 & 2348.66654040983 & 80.3334595901685 \tabularnewline
186 & 151 & 259.870823252514 & -108.870823252514 \tabularnewline
187 & 474 & 670.278287819198 & -196.278287819198 \tabularnewline
188 & 141 & 247.981731769761 & -106.981731769761 \tabularnewline
189 & 1639 & 1369.48011475152 & 269.519885248477 \tabularnewline
190 & 872 & 852.552809827229 & 19.4471901727707 \tabularnewline
191 & 1318 & 1245.64455416893 & 72.3554458310748 \tabularnewline
192 & 1018 & 1162.08559871555 & -144.085598715549 \tabularnewline
193 & 1383 & 1304.04435477905 & 78.9556452209518 \tabularnewline
194 & 1314 & 1163.31117349931 & 150.688826500688 \tabularnewline
195 & 1335 & 1341.78625696571 & -6.78625696570969 \tabularnewline
196 & 1403 & 1318.16733323369 & 84.8326667663097 \tabularnewline
197 & 910 & 987.927546767541 & -77.9275467675408 \tabularnewline
198 & 616 & 660.844661363772 & -44.8446613637719 \tabularnewline
199 & 1407 & 1430.30126196624 & -23.3012619662417 \tabularnewline
200 & 771 & 803.802695230034 & -32.8026952300338 \tabularnewline
201 & 766 & 785.354283392297 & -19.3542833922967 \tabularnewline
202 & 473 & 504.53940207577 & -31.53940207577 \tabularnewline
203 & 1376 & 1420.48889800144 & -44.4888980014422 \tabularnewline
204 & 1232 & 1210.57396838575 & 21.4260316142547 \tabularnewline
205 & 1521 & 1490.27415731677 & 30.7258426832285 \tabularnewline
206 & 572 & 572.817536002207 & -0.81753600220663 \tabularnewline
207 & 1059 & 901.636719400001 & 157.363280599999 \tabularnewline
208 & 1544 & 1586.97661939273 & -42.9766193927345 \tabularnewline
209 & 1230 & 1209.2963076781 & 20.703692321895 \tabularnewline
210 & 1206 & 1203.41070535856 & 2.58929464144286 \tabularnewline
211 & 1205 & 1113.67937195522 & 91.3206280447844 \tabularnewline
212 & 1255 & 1013.02236219132 & 241.977637808677 \tabularnewline
213 & 613 & 607.648953447754 & 5.35104655224561 \tabularnewline
214 & 721 & 810.699615799355 & -89.6996157993546 \tabularnewline
215 & 1109 & 1019.39453754665 & 89.6054624533488 \tabularnewline
216 & 740 & 690.692218308048 & 49.3077816919517 \tabularnewline
217 & 1126 & 1118.70015533208 & 7.2998446679222 \tabularnewline
218 & 728 & 799.511835395338 & -71.5118353953381 \tabularnewline
219 & 689 & 720.660909028148 & -31.6609090281485 \tabularnewline
220 & 592 & 614.847146121605 & -22.8471461216052 \tabularnewline
221 & 995 & 912.653433376983 & 82.3465666230175 \tabularnewline
222 & 1613 & 1185.76936975335 & 427.230630246647 \tabularnewline
223 & 2048 & 1747.06374002901 & 300.936259970988 \tabularnewline
224 & 705 & 631.476445343168 & 73.5235546568323 \tabularnewline
225 & 301 & 387.667796574474 & -86.6677965744739 \tabularnewline
226 & 1803 & 1718.27055687141 & 84.7294431285858 \tabularnewline
227 & 799 & 826.593365348377 & -27.5933653483771 \tabularnewline
228 & 861 & 936.011940961039 & -75.0119409610391 \tabularnewline
229 & 1186 & 1068.12264938918 & 117.87735061082 \tabularnewline
230 & 1451 & 1107.59188860895 & 343.40811139105 \tabularnewline
231 & 628 & 568.570053712329 & 59.4299462876709 \tabularnewline
232 & 1161 & 972.665133273747 & 188.334866726253 \tabularnewline
233 & 1463 & 1338.83573480007 & 124.164265199934 \tabularnewline
234 & 742 & 719.410293800734 & 22.5897061992663 \tabularnewline
235 & 979 & 1061.9965331093 & -82.9965331093011 \tabularnewline
236 & 675 & 698.026927977939 & -23.026927977939 \tabularnewline
237 & 1241 & 1180.93870702874 & 60.0612929712636 \tabularnewline
238 & 676 & 644.786514637616 & 31.2134853623841 \tabularnewline
239 & 1049 & 1051.52147765924 & -2.52147765924063 \tabularnewline
240 & 620 & 674.849838167517 & -54.8498381675174 \tabularnewline
241 & 1081 & 967.156456011414 & 113.843543988586 \tabularnewline
242 & 1688 & 1455.84299970569 & 232.15700029431 \tabularnewline
243 & 736 & 744.800747149168 & -8.8007471491682 \tabularnewline
244 & 617 & 674.677113350832 & -57.6771133508318 \tabularnewline
245 & 812 & 854.382535201088 & -42.3825352010878 \tabularnewline
246 & 1051 & 1030.90693049342 & 20.0930695065785 \tabularnewline
247 & 1656 & 1407.5937974756 & 248.406202524403 \tabularnewline
248 & 705 & 776.756169436956 & -71.7561694369562 \tabularnewline
249 & 945 & 1019.58715724673 & -74.5871572467288 \tabularnewline
250 & 554 & 649.952925452291 & -95.952925452291 \tabularnewline
251 & 1597 & 1587.36977309075 & 9.63022690925464 \tabularnewline
252 & 982 & 969.719249329779 & 12.2807506702211 \tabularnewline
253 & 222 & 307.065647752925 & -85.0656477529249 \tabularnewline
254 & 1212 & 1215.28580905026 & -3.28580905026294 \tabularnewline
255 & 1143 & 1202.28336055068 & -59.2833605506789 \tabularnewline
256 & 435 & 515.785223689894 & -80.7852236898943 \tabularnewline
257 & 532 & 547.129687682798 & -15.1296876827976 \tabularnewline
258 & 882 & 949.226986230923 & -67.2269862309228 \tabularnewline
259 & 608 & 622.488883490513 & -14.4888834905133 \tabularnewline
260 & 459 & 461.662822770323 & -2.66282277032265 \tabularnewline
261 & 578 & 599.439253649831 & -21.4392536498305 \tabularnewline
262 & 826 & 785.022247369545 & 40.9777526304554 \tabularnewline
263 & 509 & 456.303088803342 & 52.6969111966581 \tabularnewline
264 & 717 & 660.495274365435 & 56.5047256345648 \tabularnewline
265 & 637 & 686.610692225194 & -49.6106922251942 \tabularnewline
266 & 857 & 836.319875156976 & 20.6801248430244 \tabularnewline
267 & 830 & 863.824177766975 & -33.8241777669748 \tabularnewline
268 & 652 & 812.504388090825 & -160.504388090825 \tabularnewline
269 & 707 & 803.483728837087 & -96.4837288370869 \tabularnewline
270 & 954 & 1038.1756373186 & -84.1756373185982 \tabularnewline
271 & 1461 & 1299.71982734821 & 161.280172651788 \tabularnewline
272 & 672 & 732.454152357278 & -60.4541523572782 \tabularnewline
273 & 778 & 798.727911877647 & -20.7279118776475 \tabularnewline
274 & 1141 & 1119.34726121283 & 21.6527387871724 \tabularnewline
275 & 680 & 625.46414413656 & 54.5358558634401 \tabularnewline
276 & 1090 & 984.511589478815 & 105.488410521185 \tabularnewline
277 & 616 & 536.285422397688 & 79.7145776023117 \tabularnewline
278 & 285 & 331.546755005533 & -46.5467550055334 \tabularnewline
279 & 1145 & 1020.65506343499 & 124.344936565013 \tabularnewline
280 & 733 & 761.308199328375 & -28.3081993283753 \tabularnewline
281 & 888 & 878.973777167832 & 9.02622283216822 \tabularnewline
282 & 849 & 873.593025332318 & -24.5930253323179 \tabularnewline
283 & 1182 & 1148.07494983672 & 33.9250501632764 \tabularnewline
284 & 528 & 561.931148538585 & -33.9311485385851 \tabularnewline
285 & 642 & 708.272983930223 & -66.2729839302226 \tabularnewline
286 & 947 & 562.496019990736 & 384.503980009264 \tabularnewline
287 & 819 & 687.442818956098 & 131.557181043902 \tabularnewline
288 & 757 & 673.752787082084 & 83.2472129179156 \tabularnewline
289 & 894 & 853.010536836877 & 40.9894631631226 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154849&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]1418[/C][C]1362.15969291579[/C][C]55.8403070842104[/C][/ROW]
[ROW][C]2[/C][C]869[/C][C]1076.24178116784[/C][C]-207.241781167838[/C][/ROW]
[ROW][C]3[/C][C]1530[/C][C]1599.12273950533[/C][C]-69.1227395053311[/C][/ROW]
[ROW][C]4[/C][C]2172[/C][C]2564.32549580903[/C][C]-392.325495809026[/C][/ROW]
[ROW][C]5[/C][C]901[/C][C]918.400531501058[/C][C]-17.4005315010576[/C][/ROW]
[ROW][C]6[/C][C]463[/C][C]535.433299873128[/C][C]-72.4332998731281[/C][/ROW]
[ROW][C]7[/C][C]3201[/C][C]3619.35567167972[/C][C]-418.355671679724[/C][/ROW]
[ROW][C]8[/C][C]371[/C][C]436.390173440956[/C][C]-65.390173440956[/C][/ROW]
[ROW][C]9[/C][C]1192[/C][C]1171.53418287614[/C][C]20.4658171238599[/C][/ROW]
[ROW][C]10[/C][C]1583[/C][C]1670.10297715234[/C][C]-87.1029771523396[/C][/ROW]
[ROW][C]11[/C][C]1439[/C][C]1391.56879191721[/C][C]47.4312080827944[/C][/ROW]
[ROW][C]12[/C][C]1764[/C][C]1887.86972788854[/C][C]-123.869727888536[/C][/ROW]
[ROW][C]13[/C][C]1495[/C][C]1561.88528069074[/C][C]-66.8852806907386[/C][/ROW]
[ROW][C]14[/C][C]1373[/C][C]1464.43579885956[/C][C]-91.435798859555[/C][/ROW]
[ROW][C]15[/C][C]2187[/C][C]2307.55565925183[/C][C]-120.555659251831[/C][/ROW]
[ROW][C]16[/C][C]1491[/C][C]1496.55951870699[/C][C]-5.55951870699226[/C][/ROW]
[ROW][C]17[/C][C]4041[/C][C]3717.33937867234[/C][C]323.660621327655[/C][/ROW]
[ROW][C]18[/C][C]1706[/C][C]1727.44222247198[/C][C]-21.4422224719807[/C][/ROW]
[ROW][C]19[/C][C]2152[/C][C]2384.38011382571[/C][C]-232.380113825711[/C][/ROW]
[ROW][C]20[/C][C]1036[/C][C]1169.51768907851[/C][C]-133.517689078514[/C][/ROW]
[ROW][C]21[/C][C]1882[/C][C]1707.74329385984[/C][C]174.256706140161[/C][/ROW]
[ROW][C]22[/C][C]1929[/C][C]1823.08841460725[/C][C]105.911585392746[/C][/ROW]
[ROW][C]23[/C][C]2242[/C][C]2469.76073444072[/C][C]-227.760734440716[/C][/ROW]
[ROW][C]24[/C][C]1220[/C][C]1184.19107383636[/C][C]35.8089261636443[/C][/ROW]
[ROW][C]25[/C][C]1289[/C][C]1285.30111416936[/C][C]3.69888583063966[/C][/ROW]
[ROW][C]26[/C][C]2515[/C][C]2601.68585413475[/C][C]-86.6858541347462[/C][/ROW]
[ROW][C]27[/C][C]2147[/C][C]2138.08271718626[/C][C]8.91728281374322[/C][/ROW]
[ROW][C]28[/C][C]2352[/C][C]2432.17194052433[/C][C]-80.1719405243338[/C][/ROW]
[ROW][C]29[/C][C]1638[/C][C]1612.57013947487[/C][C]25.4298605251346[/C][/ROW]
[ROW][C]30[/C][C]1222[/C][C]1262.78049789781[/C][C]-40.7804978978102[/C][/ROW]
[ROW][C]31[/C][C]1812[/C][C]1909.59344619168[/C][C]-97.5934461916787[/C][/ROW]
[ROW][C]32[/C][C]1677[/C][C]1769.53626820162[/C][C]-92.5362682016249[/C][/ROW]
[ROW][C]33[/C][C]1579[/C][C]1538.50063682294[/C][C]40.499363177057[/C][/ROW]
[ROW][C]34[/C][C]1731[/C][C]1850.00086941522[/C][C]-119.000869415225[/C][/ROW]
[ROW][C]35[/C][C]807[/C][C]850.755811123383[/C][C]-43.7558111233829[/C][/ROW]
[ROW][C]36[/C][C]2452[/C][C]2518.80288303255[/C][C]-66.8028830325503[/C][/ROW]
[ROW][C]37[/C][C]829[/C][C]791.343875708277[/C][C]37.656124291723[/C][/ROW]
[ROW][C]38[/C][C]1940[/C][C]2015.48854202169[/C][C]-75.4885420216906[/C][/ROW]
[ROW][C]39[/C][C]2662[/C][C]2463.24313265429[/C][C]198.75686734571[/C][/ROW]
[ROW][C]40[/C][C]186[/C][C]280.961210783453[/C][C]-94.9612107834526[/C][/ROW]
[ROW][C]41[/C][C]1499[/C][C]1491.549358154[/C][C]7.45064184599817[/C][/ROW]
[ROW][C]42[/C][C]865[/C][C]817.105686091797[/C][C]47.8943139082031[/C][/ROW]
[ROW][C]43[/C][C]1793[/C][C]1546.16350626959[/C][C]246.836493730412[/C][/ROW]
[ROW][C]44[/C][C]2527[/C][C]2564.42583759842[/C][C]-37.4258375984193[/C][/ROW]
[ROW][C]45[/C][C]2747[/C][C]2960.90823302394[/C][C]-213.908233023936[/C][/ROW]
[ROW][C]46[/C][C]1324[/C][C]1532.82480347066[/C][C]-208.824803470661[/C][/ROW]
[ROW][C]47[/C][C]2702[/C][C]2386.95118950893[/C][C]315.04881049107[/C][/ROW]
[ROW][C]48[/C][C]1383[/C][C]1543.6923536412[/C][C]-160.692353641204[/C][/ROW]
[ROW][C]49[/C][C]1179[/C][C]1047.37788463206[/C][C]131.622115367938[/C][/ROW]
[ROW][C]50[/C][C]2099[/C][C]2144.73309406344[/C][C]-45.7330940634365[/C][/ROW]
[ROW][C]51[/C][C]4308[/C][C]4756.78383486942[/C][C]-448.78383486942[/C][/ROW]
[ROW][C]52[/C][C]918[/C][C]989.588471923593[/C][C]-71.5884719235928[/C][/ROW]
[ROW][C]53[/C][C]1831[/C][C]1645.30430484543[/C][C]185.69569515457[/C][/ROW]
[ROW][C]54[/C][C]3373[/C][C]2999.67093101163[/C][C]373.329068988368[/C][/ROW]
[ROW][C]55[/C][C]1713[/C][C]1864.71797628118[/C][C]-151.717976281183[/C][/ROW]
[ROW][C]56[/C][C]1438[/C][C]1373.60291442112[/C][C]64.39708557888[/C][/ROW]
[ROW][C]57[/C][C]496[/C][C]614.116276033704[/C][C]-118.116276033704[/C][/ROW]
[ROW][C]58[/C][C]2253[/C][C]2739.4736083271[/C][C]-486.473608327095[/C][/ROW]
[ROW][C]59[/C][C]744[/C][C]733.895851625738[/C][C]10.1041483742615[/C][/ROW]
[ROW][C]60[/C][C]1161[/C][C]1328.97980072345[/C][C]-167.979800723452[/C][/ROW]
[ROW][C]61[/C][C]2352[/C][C]2164.66336272415[/C][C]187.336637275852[/C][/ROW]
[ROW][C]62[/C][C]2144[/C][C]1759.55749113186[/C][C]384.442508868137[/C][/ROW]
[ROW][C]63[/C][C]4691[/C][C]3500.79500821392[/C][C]1190.20499178608[/C][/ROW]
[ROW][C]64[/C][C]1112[/C][C]1107.33575798952[/C][C]4.66424201048259[/C][/ROW]
[ROW][C]65[/C][C]2694[/C][C]2532.63343909765[/C][C]161.366560902355[/C][/ROW]
[ROW][C]66[/C][C]1973[/C][C]2268.08399965003[/C][C]-295.083999650029[/C][/ROW]
[ROW][C]67[/C][C]1769[/C][C]1891.06532714975[/C][C]-122.065327149746[/C][/ROW]
[ROW][C]68[/C][C]3148[/C][C]2842.61199987024[/C][C]305.388000129761[/C][/ROW]
[ROW][C]69[/C][C]2474[/C][C]2559.1401851189[/C][C]-85.1401851188994[/C][/ROW]
[ROW][C]70[/C][C]2084[/C][C]2197.79454257127[/C][C]-113.794542571266[/C][/ROW]
[ROW][C]71[/C][C]1954[/C][C]1878.30849123485[/C][C]75.6915087651525[/C][/ROW]
[ROW][C]72[/C][C]1226[/C][C]1421.99225210079[/C][C]-195.992252100791[/C][/ROW]
[ROW][C]73[/C][C]1389[/C][C]1234.19992993254[/C][C]154.800070067458[/C][/ROW]
[ROW][C]74[/C][C]1496[/C][C]1533.48361343849[/C][C]-37.4836134384868[/C][/ROW]
[ROW][C]75[/C][C]2269[/C][C]2140.73488579055[/C][C]128.265114209446[/C][/ROW]
[ROW][C]76[/C][C]1833[/C][C]1918.83685792685[/C][C]-85.8368579268488[/C][/ROW]
[ROW][C]77[/C][C]1268[/C][C]1456.15968637873[/C][C]-188.159686378728[/C][/ROW]
[ROW][C]78[/C][C]1943[/C][C]1801.9257000751[/C][C]141.074299924899[/C][/ROW]
[ROW][C]79[/C][C]893[/C][C]1050.16187739301[/C][C]-157.161877393006[/C][/ROW]
[ROW][C]80[/C][C]1762[/C][C]1645.71938132772[/C][C]116.280618672279[/C][/ROW]
[ROW][C]81[/C][C]1403[/C][C]1663.63315699121[/C][C]-260.633156991214[/C][/ROW]
[ROW][C]82[/C][C]1425[/C][C]1436.44429741232[/C][C]-11.4442974123174[/C][/ROW]
[ROW][C]83[/C][C]1857[/C][C]2209.80358352099[/C][C]-352.803583520993[/C][/ROW]
[ROW][C]84[/C][C]1840[/C][C]2002.85928864525[/C][C]-162.859288645249[/C][/ROW]
[ROW][C]85[/C][C]1502[/C][C]1457.58803686956[/C][C]44.4119631304401[/C][/ROW]
[ROW][C]86[/C][C]1441[/C][C]1367.48254795143[/C][C]73.5174520485727[/C][/ROW]
[ROW][C]87[/C][C]1420[/C][C]1494.82972788227[/C][C]-74.8297278822683[/C][/ROW]
[ROW][C]88[/C][C]1416[/C][C]1340.46037411238[/C][C]75.5396258876157[/C][/ROW]
[ROW][C]89[/C][C]2970[/C][C]2680.13068042694[/C][C]289.869319573062[/C][/ROW]
[ROW][C]90[/C][C]1317[/C][C]1638.76906100243[/C][C]-321.769061002428[/C][/ROW]
[ROW][C]91[/C][C]1644[/C][C]1527.59508349727[/C][C]116.404916502727[/C][/ROW]
[ROW][C]92[/C][C]870[/C][C]1117.28090128073[/C][C]-247.280901280726[/C][/ROW]
[ROW][C]93[/C][C]1654[/C][C]1838.42271230003[/C][C]-184.422712300027[/C][/ROW]
[ROW][C]94[/C][C]1054[/C][C]1077.25347481577[/C][C]-23.2534748157662[/C][/ROW]
[ROW][C]95[/C][C]937[/C][C]860.261417019359[/C][C]76.7385829806414[/C][/ROW]
[ROW][C]96[/C][C]3004[/C][C]3245.11518490017[/C][C]-241.115184900167[/C][/ROW]
[ROW][C]97[/C][C]2008[/C][C]1988.28319618864[/C][C]19.7168038113635[/C][/ROW]
[ROW][C]98[/C][C]2547[/C][C]2398.58864440357[/C][C]148.411355596435[/C][/ROW]
[ROW][C]99[/C][C]1885[/C][C]1776.01254560349[/C][C]108.987454396511[/C][/ROW]
[ROW][C]100[/C][C]1626[/C][C]1622.96028164098[/C][C]3.03971835902[/C][/ROW]
[ROW][C]101[/C][C]1468[/C][C]1379.72496926933[/C][C]88.2750307306675[/C][/ROW]
[ROW][C]102[/C][C]2445[/C][C]2292.31865014354[/C][C]152.681349856462[/C][/ROW]
[ROW][C]103[/C][C]1964[/C][C]2090.99982620853[/C][C]-126.99982620853[/C][/ROW]
[ROW][C]104[/C][C]1381[/C][C]1358.50097518167[/C][C]22.4990248183296[/C][/ROW]
[ROW][C]105[/C][C]1369[/C][C]1402.92035277262[/C][C]-33.9203527726175[/C][/ROW]
[ROW][C]106[/C][C]1659[/C][C]1794.61573095166[/C][C]-135.61573095166[/C][/ROW]
[ROW][C]107[/C][C]2888[/C][C]2659.22249894935[/C][C]228.777501050649[/C][/ROW]
[ROW][C]108[/C][C]1290[/C][C]1041.90015271967[/C][C]248.099847280327[/C][/ROW]
[ROW][C]109[/C][C]2845[/C][C]2927.46213081778[/C][C]-82.4621308177809[/C][/ROW]
[ROW][C]110[/C][C]1982[/C][C]1979.82785296385[/C][C]2.17214703614585[/C][/ROW]
[ROW][C]111[/C][C]1904[/C][C]1949.58719132995[/C][C]-45.5871913299505[/C][/ROW]
[ROW][C]112[/C][C]1391[/C][C]1605.09912424385[/C][C]-214.099124243852[/C][/ROW]
[ROW][C]113[/C][C]602[/C][C]656.006620821822[/C][C]-54.006620821822[/C][/ROW]
[ROW][C]114[/C][C]1743[/C][C]1681.42956010316[/C][C]61.5704398968439[/C][/ROW]
[ROW][C]115[/C][C]1559[/C][C]1763.58766194642[/C][C]-204.587661946421[/C][/ROW]
[ROW][C]116[/C][C]2014[/C][C]2217.22824893693[/C][C]-203.228248936933[/C][/ROW]
[ROW][C]117[/C][C]2143[/C][C]2225.22388233715[/C][C]-82.2238823371499[/C][/ROW]
[ROW][C]118[/C][C]2146[/C][C]1963.46618066969[/C][C]182.533819330306[/C][/ROW]
[ROW][C]119[/C][C]874[/C][C]889.095522052561[/C][C]-15.0955220525607[/C][/ROW]
[ROW][C]120[/C][C]1590[/C][C]1512.62916278139[/C][C]77.3708372186063[/C][/ROW]
[ROW][C]121[/C][C]1590[/C][C]1449.00744609251[/C][C]140.992553907492[/C][/ROW]
[ROW][C]122[/C][C]1210[/C][C]1294.58706205871[/C][C]-84.5870620587129[/C][/ROW]
[ROW][C]123[/C][C]2072[/C][C]2032.76168609813[/C][C]39.2383139018678[/C][/ROW]
[ROW][C]124[/C][C]1281[/C][C]1350.78820198057[/C][C]-69.788201980568[/C][/ROW]
[ROW][C]125[/C][C]1401[/C][C]1377.60367025822[/C][C]23.3963297417786[/C][/ROW]
[ROW][C]126[/C][C]834[/C][C]796.139666331423[/C][C]37.8603336685766[/C][/ROW]
[ROW][C]127[/C][C]1105[/C][C]1137.06343200133[/C][C]-32.0634320013253[/C][/ROW]
[ROW][C]128[/C][C]1272[/C][C]1062.44553580594[/C][C]209.554464194059[/C][/ROW]
[ROW][C]129[/C][C]1944[/C][C]1845.09804968466[/C][C]98.90195031534[/C][/ROW]
[ROW][C]130[/C][C]391[/C][C]445.907107745053[/C][C]-54.9071077450534[/C][/ROW]
[ROW][C]131[/C][C]761[/C][C]728.473720784397[/C][C]32.5262792156034[/C][/ROW]
[ROW][C]132[/C][C]1605[/C][C]1656.19913923547[/C][C]-51.19913923547[/C][/ROW]
[ROW][C]133[/C][C]530[/C][C]650.755555575207[/C][C]-120.755555575207[/C][/ROW]
[ROW][C]134[/C][C]1988[/C][C]1697.70243302651[/C][C]290.297566973489[/C][/ROW]
[ROW][C]135[/C][C]1386[/C][C]1296.39791768689[/C][C]89.6020823131149[/C][/ROW]
[ROW][C]136[/C][C]2395[/C][C]2529.67237166716[/C][C]-134.672371667164[/C][/ROW]
[ROW][C]137[/C][C]387[/C][C]425.189081639312[/C][C]-38.1890816393117[/C][/ROW]
[ROW][C]138[/C][C]1742[/C][C]1789.16589685187[/C][C]-47.1658968518732[/C][/ROW]
[ROW][C]139[/C][C]620[/C][C]584.2389204428[/C][C]35.7610795572004[/C][/ROW]
[ROW][C]140[/C][C]449[/C][C]592.015776584641[/C][C]-143.015776584641[/C][/ROW]
[ROW][C]141[/C][C]800[/C][C]826.912885335239[/C][C]-26.9128853352392[/C][/ROW]
[ROW][C]142[/C][C]1684[/C][C]1473.40860095938[/C][C]210.591399040618[/C][/ROW]
[ROW][C]143[/C][C]1050[/C][C]1095.59034688573[/C][C]-45.5903468857306[/C][/ROW]
[ROW][C]144[/C][C]2699[/C][C]2620.27115409603[/C][C]78.7288459039653[/C][/ROW]
[ROW][C]145[/C][C]1606[/C][C]1540.41105044994[/C][C]65.5889495500611[/C][/ROW]
[ROW][C]146[/C][C]1502[/C][C]1289.07369180763[/C][C]212.926308192365[/C][/ROW]
[ROW][C]147[/C][C]1204[/C][C]1263.18146610814[/C][C]-59.1814661081361[/C][/ROW]
[ROW][C]148[/C][C]1138[/C][C]1122.27571718996[/C][C]15.724282810038[/C][/ROW]
[ROW][C]149[/C][C]568[/C][C]818.941593218049[/C][C]-250.941593218049[/C][/ROW]
[ROW][C]150[/C][C]1459[/C][C]1426.46573427991[/C][C]32.5342657200881[/C][/ROW]
[ROW][C]151[/C][C]2158[/C][C]2212.2716126178[/C][C]-54.2716126178009[/C][/ROW]
[ROW][C]152[/C][C]1111[/C][C]1199.56951598475[/C][C]-88.5695159847504[/C][/ROW]
[ROW][C]153[/C][C]1421[/C][C]1298.63427385552[/C][C]122.365726144481[/C][/ROW]
[ROW][C]154[/C][C]2833[/C][C]3102.39761178262[/C][C]-269.397611782617[/C][/ROW]
[ROW][C]155[/C][C]1955[/C][C]2102.46473378932[/C][C]-147.464733789322[/C][/ROW]
[ROW][C]156[/C][C]2922[/C][C]2776.61333560496[/C][C]145.386664395037[/C][/ROW]
[ROW][C]157[/C][C]1002[/C][C]1139.02574645302[/C][C]-137.025746453015[/C][/ROW]
[ROW][C]158[/C][C]1060[/C][C]1157.56929437099[/C][C]-97.5692943709893[/C][/ROW]
[ROW][C]159[/C][C]956[/C][C]986.56460811963[/C][C]-30.5646081196304[/C][/ROW]
[ROW][C]160[/C][C]2186[/C][C]2607.73486680659[/C][C]-421.734866806592[/C][/ROW]
[ROW][C]161[/C][C]3604[/C][C]3363.73977602419[/C][C]240.260223975806[/C][/ROW]
[ROW][C]162[/C][C]1035[/C][C]1064.8645528517[/C][C]-29.8645528517016[/C][/ROW]
[ROW][C]163[/C][C]1417[/C][C]1515.87023141619[/C][C]-98.8702314161948[/C][/ROW]
[ROW][C]164[/C][C]3261[/C][C]3460.05021893744[/C][C]-199.050218937441[/C][/ROW]
[ROW][C]165[/C][C]1587[/C][C]1634.1727128458[/C][C]-47.1727128457996[/C][/ROW]
[ROW][C]166[/C][C]1424[/C][C]1453.78909485106[/C][C]-29.7890948510558[/C][/ROW]
[ROW][C]167[/C][C]1701[/C][C]1792.00720362611[/C][C]-91.0072036261077[/C][/ROW]
[ROW][C]168[/C][C]1249[/C][C]1369.98713675596[/C][C]-120.987136755959[/C][/ROW]
[ROW][C]169[/C][C]946[/C][C]926.887060389576[/C][C]19.1129396104239[/C][/ROW]
[ROW][C]170[/C][C]1926[/C][C]1779.82630619377[/C][C]146.173693806228[/C][/ROW]
[ROW][C]171[/C][C]3352[/C][C]3304.95591611104[/C][C]47.0440838889554[/C][/ROW]
[ROW][C]172[/C][C]1641[/C][C]1682.57829307236[/C][C]-41.5782930723561[/C][/ROW]
[ROW][C]173[/C][C]2035[/C][C]1786.10992221067[/C][C]248.890077789329[/C][/ROW]
[ROW][C]174[/C][C]2312[/C][C]2154.32894135589[/C][C]157.671058644112[/C][/ROW]
[ROW][C]175[/C][C]1369[/C][C]1555.22390637897[/C][C]-186.223906378967[/C][/ROW]
[ROW][C]176[/C][C]1577[/C][C]1585.74763654778[/C][C]-8.74763654778217[/C][/ROW]
[ROW][C]177[/C][C]2201[/C][C]2167.79996385219[/C][C]33.2000361478096[/C][/ROW]
[ROW][C]178[/C][C]961[/C][C]938.672545713667[/C][C]22.3274542863331[/C][/ROW]
[ROW][C]179[/C][C]1900[/C][C]1873.12626704025[/C][C]26.8737329597454[/C][/ROW]
[ROW][C]180[/C][C]1254[/C][C]1264.29452757336[/C][C]-10.2945275733624[/C][/ROW]
[ROW][C]181[/C][C]1335[/C][C]1280.54424521153[/C][C]54.455754788466[/C][/ROW]
[ROW][C]182[/C][C]1597[/C][C]1474.25352317525[/C][C]122.746476824747[/C][/ROW]
[ROW][C]183[/C][C]207[/C][C]293.345882693859[/C][C]-86.3458826938593[/C][/ROW]
[ROW][C]184[/C][C]1645[/C][C]1572.1053831685[/C][C]72.8946168314958[/C][/ROW]
[ROW][C]185[/C][C]2429[/C][C]2348.66654040983[/C][C]80.3334595901685[/C][/ROW]
[ROW][C]186[/C][C]151[/C][C]259.870823252514[/C][C]-108.870823252514[/C][/ROW]
[ROW][C]187[/C][C]474[/C][C]670.278287819198[/C][C]-196.278287819198[/C][/ROW]
[ROW][C]188[/C][C]141[/C][C]247.981731769761[/C][C]-106.981731769761[/C][/ROW]
[ROW][C]189[/C][C]1639[/C][C]1369.48011475152[/C][C]269.519885248477[/C][/ROW]
[ROW][C]190[/C][C]872[/C][C]852.552809827229[/C][C]19.4471901727707[/C][/ROW]
[ROW][C]191[/C][C]1318[/C][C]1245.64455416893[/C][C]72.3554458310748[/C][/ROW]
[ROW][C]192[/C][C]1018[/C][C]1162.08559871555[/C][C]-144.085598715549[/C][/ROW]
[ROW][C]193[/C][C]1383[/C][C]1304.04435477905[/C][C]78.9556452209518[/C][/ROW]
[ROW][C]194[/C][C]1314[/C][C]1163.31117349931[/C][C]150.688826500688[/C][/ROW]
[ROW][C]195[/C][C]1335[/C][C]1341.78625696571[/C][C]-6.78625696570969[/C][/ROW]
[ROW][C]196[/C][C]1403[/C][C]1318.16733323369[/C][C]84.8326667663097[/C][/ROW]
[ROW][C]197[/C][C]910[/C][C]987.927546767541[/C][C]-77.9275467675408[/C][/ROW]
[ROW][C]198[/C][C]616[/C][C]660.844661363772[/C][C]-44.8446613637719[/C][/ROW]
[ROW][C]199[/C][C]1407[/C][C]1430.30126196624[/C][C]-23.3012619662417[/C][/ROW]
[ROW][C]200[/C][C]771[/C][C]803.802695230034[/C][C]-32.8026952300338[/C][/ROW]
[ROW][C]201[/C][C]766[/C][C]785.354283392297[/C][C]-19.3542833922967[/C][/ROW]
[ROW][C]202[/C][C]473[/C][C]504.53940207577[/C][C]-31.53940207577[/C][/ROW]
[ROW][C]203[/C][C]1376[/C][C]1420.48889800144[/C][C]-44.4888980014422[/C][/ROW]
[ROW][C]204[/C][C]1232[/C][C]1210.57396838575[/C][C]21.4260316142547[/C][/ROW]
[ROW][C]205[/C][C]1521[/C][C]1490.27415731677[/C][C]30.7258426832285[/C][/ROW]
[ROW][C]206[/C][C]572[/C][C]572.817536002207[/C][C]-0.81753600220663[/C][/ROW]
[ROW][C]207[/C][C]1059[/C][C]901.636719400001[/C][C]157.363280599999[/C][/ROW]
[ROW][C]208[/C][C]1544[/C][C]1586.97661939273[/C][C]-42.9766193927345[/C][/ROW]
[ROW][C]209[/C][C]1230[/C][C]1209.2963076781[/C][C]20.703692321895[/C][/ROW]
[ROW][C]210[/C][C]1206[/C][C]1203.41070535856[/C][C]2.58929464144286[/C][/ROW]
[ROW][C]211[/C][C]1205[/C][C]1113.67937195522[/C][C]91.3206280447844[/C][/ROW]
[ROW][C]212[/C][C]1255[/C][C]1013.02236219132[/C][C]241.977637808677[/C][/ROW]
[ROW][C]213[/C][C]613[/C][C]607.648953447754[/C][C]5.35104655224561[/C][/ROW]
[ROW][C]214[/C][C]721[/C][C]810.699615799355[/C][C]-89.6996157993546[/C][/ROW]
[ROW][C]215[/C][C]1109[/C][C]1019.39453754665[/C][C]89.6054624533488[/C][/ROW]
[ROW][C]216[/C][C]740[/C][C]690.692218308048[/C][C]49.3077816919517[/C][/ROW]
[ROW][C]217[/C][C]1126[/C][C]1118.70015533208[/C][C]7.2998446679222[/C][/ROW]
[ROW][C]218[/C][C]728[/C][C]799.511835395338[/C][C]-71.5118353953381[/C][/ROW]
[ROW][C]219[/C][C]689[/C][C]720.660909028148[/C][C]-31.6609090281485[/C][/ROW]
[ROW][C]220[/C][C]592[/C][C]614.847146121605[/C][C]-22.8471461216052[/C][/ROW]
[ROW][C]221[/C][C]995[/C][C]912.653433376983[/C][C]82.3465666230175[/C][/ROW]
[ROW][C]222[/C][C]1613[/C][C]1185.76936975335[/C][C]427.230630246647[/C][/ROW]
[ROW][C]223[/C][C]2048[/C][C]1747.06374002901[/C][C]300.936259970988[/C][/ROW]
[ROW][C]224[/C][C]705[/C][C]631.476445343168[/C][C]73.5235546568323[/C][/ROW]
[ROW][C]225[/C][C]301[/C][C]387.667796574474[/C][C]-86.6677965744739[/C][/ROW]
[ROW][C]226[/C][C]1803[/C][C]1718.27055687141[/C][C]84.7294431285858[/C][/ROW]
[ROW][C]227[/C][C]799[/C][C]826.593365348377[/C][C]-27.5933653483771[/C][/ROW]
[ROW][C]228[/C][C]861[/C][C]936.011940961039[/C][C]-75.0119409610391[/C][/ROW]
[ROW][C]229[/C][C]1186[/C][C]1068.12264938918[/C][C]117.87735061082[/C][/ROW]
[ROW][C]230[/C][C]1451[/C][C]1107.59188860895[/C][C]343.40811139105[/C][/ROW]
[ROW][C]231[/C][C]628[/C][C]568.570053712329[/C][C]59.4299462876709[/C][/ROW]
[ROW][C]232[/C][C]1161[/C][C]972.665133273747[/C][C]188.334866726253[/C][/ROW]
[ROW][C]233[/C][C]1463[/C][C]1338.83573480007[/C][C]124.164265199934[/C][/ROW]
[ROW][C]234[/C][C]742[/C][C]719.410293800734[/C][C]22.5897061992663[/C][/ROW]
[ROW][C]235[/C][C]979[/C][C]1061.9965331093[/C][C]-82.9965331093011[/C][/ROW]
[ROW][C]236[/C][C]675[/C][C]698.026927977939[/C][C]-23.026927977939[/C][/ROW]
[ROW][C]237[/C][C]1241[/C][C]1180.93870702874[/C][C]60.0612929712636[/C][/ROW]
[ROW][C]238[/C][C]676[/C][C]644.786514637616[/C][C]31.2134853623841[/C][/ROW]
[ROW][C]239[/C][C]1049[/C][C]1051.52147765924[/C][C]-2.52147765924063[/C][/ROW]
[ROW][C]240[/C][C]620[/C][C]674.849838167517[/C][C]-54.8498381675174[/C][/ROW]
[ROW][C]241[/C][C]1081[/C][C]967.156456011414[/C][C]113.843543988586[/C][/ROW]
[ROW][C]242[/C][C]1688[/C][C]1455.84299970569[/C][C]232.15700029431[/C][/ROW]
[ROW][C]243[/C][C]736[/C][C]744.800747149168[/C][C]-8.8007471491682[/C][/ROW]
[ROW][C]244[/C][C]617[/C][C]674.677113350832[/C][C]-57.6771133508318[/C][/ROW]
[ROW][C]245[/C][C]812[/C][C]854.382535201088[/C][C]-42.3825352010878[/C][/ROW]
[ROW][C]246[/C][C]1051[/C][C]1030.90693049342[/C][C]20.0930695065785[/C][/ROW]
[ROW][C]247[/C][C]1656[/C][C]1407.5937974756[/C][C]248.406202524403[/C][/ROW]
[ROW][C]248[/C][C]705[/C][C]776.756169436956[/C][C]-71.7561694369562[/C][/ROW]
[ROW][C]249[/C][C]945[/C][C]1019.58715724673[/C][C]-74.5871572467288[/C][/ROW]
[ROW][C]250[/C][C]554[/C][C]649.952925452291[/C][C]-95.952925452291[/C][/ROW]
[ROW][C]251[/C][C]1597[/C][C]1587.36977309075[/C][C]9.63022690925464[/C][/ROW]
[ROW][C]252[/C][C]982[/C][C]969.719249329779[/C][C]12.2807506702211[/C][/ROW]
[ROW][C]253[/C][C]222[/C][C]307.065647752925[/C][C]-85.0656477529249[/C][/ROW]
[ROW][C]254[/C][C]1212[/C][C]1215.28580905026[/C][C]-3.28580905026294[/C][/ROW]
[ROW][C]255[/C][C]1143[/C][C]1202.28336055068[/C][C]-59.2833605506789[/C][/ROW]
[ROW][C]256[/C][C]435[/C][C]515.785223689894[/C][C]-80.7852236898943[/C][/ROW]
[ROW][C]257[/C][C]532[/C][C]547.129687682798[/C][C]-15.1296876827976[/C][/ROW]
[ROW][C]258[/C][C]882[/C][C]949.226986230923[/C][C]-67.2269862309228[/C][/ROW]
[ROW][C]259[/C][C]608[/C][C]622.488883490513[/C][C]-14.4888834905133[/C][/ROW]
[ROW][C]260[/C][C]459[/C][C]461.662822770323[/C][C]-2.66282277032265[/C][/ROW]
[ROW][C]261[/C][C]578[/C][C]599.439253649831[/C][C]-21.4392536498305[/C][/ROW]
[ROW][C]262[/C][C]826[/C][C]785.022247369545[/C][C]40.9777526304554[/C][/ROW]
[ROW][C]263[/C][C]509[/C][C]456.303088803342[/C][C]52.6969111966581[/C][/ROW]
[ROW][C]264[/C][C]717[/C][C]660.495274365435[/C][C]56.5047256345648[/C][/ROW]
[ROW][C]265[/C][C]637[/C][C]686.610692225194[/C][C]-49.6106922251942[/C][/ROW]
[ROW][C]266[/C][C]857[/C][C]836.319875156976[/C][C]20.6801248430244[/C][/ROW]
[ROW][C]267[/C][C]830[/C][C]863.824177766975[/C][C]-33.8241777669748[/C][/ROW]
[ROW][C]268[/C][C]652[/C][C]812.504388090825[/C][C]-160.504388090825[/C][/ROW]
[ROW][C]269[/C][C]707[/C][C]803.483728837087[/C][C]-96.4837288370869[/C][/ROW]
[ROW][C]270[/C][C]954[/C][C]1038.1756373186[/C][C]-84.1756373185982[/C][/ROW]
[ROW][C]271[/C][C]1461[/C][C]1299.71982734821[/C][C]161.280172651788[/C][/ROW]
[ROW][C]272[/C][C]672[/C][C]732.454152357278[/C][C]-60.4541523572782[/C][/ROW]
[ROW][C]273[/C][C]778[/C][C]798.727911877647[/C][C]-20.7279118776475[/C][/ROW]
[ROW][C]274[/C][C]1141[/C][C]1119.34726121283[/C][C]21.6527387871724[/C][/ROW]
[ROW][C]275[/C][C]680[/C][C]625.46414413656[/C][C]54.5358558634401[/C][/ROW]
[ROW][C]276[/C][C]1090[/C][C]984.511589478815[/C][C]105.488410521185[/C][/ROW]
[ROW][C]277[/C][C]616[/C][C]536.285422397688[/C][C]79.7145776023117[/C][/ROW]
[ROW][C]278[/C][C]285[/C][C]331.546755005533[/C][C]-46.5467550055334[/C][/ROW]
[ROW][C]279[/C][C]1145[/C][C]1020.65506343499[/C][C]124.344936565013[/C][/ROW]
[ROW][C]280[/C][C]733[/C][C]761.308199328375[/C][C]-28.3081993283753[/C][/ROW]
[ROW][C]281[/C][C]888[/C][C]878.973777167832[/C][C]9.02622283216822[/C][/ROW]
[ROW][C]282[/C][C]849[/C][C]873.593025332318[/C][C]-24.5930253323179[/C][/ROW]
[ROW][C]283[/C][C]1182[/C][C]1148.07494983672[/C][C]33.9250501632764[/C][/ROW]
[ROW][C]284[/C][C]528[/C][C]561.931148538585[/C][C]-33.9311485385851[/C][/ROW]
[ROW][C]285[/C][C]642[/C][C]708.272983930223[/C][C]-66.2729839302226[/C][/ROW]
[ROW][C]286[/C][C]947[/C][C]562.496019990736[/C][C]384.503980009264[/C][/ROW]
[ROW][C]287[/C][C]819[/C][C]687.442818956098[/C][C]131.557181043902[/C][/ROW]
[ROW][C]288[/C][C]757[/C][C]673.752787082084[/C][C]83.2472129179156[/C][/ROW]
[ROW][C]289[/C][C]894[/C][C]853.010536836877[/C][C]40.9894631631226[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154849&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154849&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
114181362.1596929157955.8403070842104
28691076.24178116784-207.241781167838
315301599.12273950533-69.1227395053311
421722564.32549580903-392.325495809026
5901918.400531501058-17.4005315010576
6463535.433299873128-72.4332998731281
732013619.35567167972-418.355671679724
8371436.390173440956-65.390173440956
911921171.5341828761420.4658171238599
1015831670.10297715234-87.1029771523396
1114391391.5687919172147.4312080827944
1217641887.86972788854-123.869727888536
1314951561.88528069074-66.8852806907386
1413731464.43579885956-91.435798859555
1521872307.55565925183-120.555659251831
1614911496.55951870699-5.55951870699226
1740413717.33937867234323.660621327655
1817061727.44222247198-21.4422224719807
1921522384.38011382571-232.380113825711
2010361169.51768907851-133.517689078514
2118821707.74329385984174.256706140161
2219291823.08841460725105.911585392746
2322422469.76073444072-227.760734440716
2412201184.1910738363635.8089261636443
2512891285.301114169363.69888583063966
2625152601.68585413475-86.6858541347462
2721472138.082717186268.91728281374322
2823522432.17194052433-80.1719405243338
2916381612.5701394748725.4298605251346
3012221262.78049789781-40.7804978978102
3118121909.59344619168-97.5934461916787
3216771769.53626820162-92.5362682016249
3315791538.5006368229440.499363177057
3417311850.00086941522-119.000869415225
35807850.755811123383-43.7558111233829
3624522518.80288303255-66.8028830325503
37829791.34387570827737.656124291723
3819402015.48854202169-75.4885420216906
3926622463.24313265429198.75686734571
40186280.961210783453-94.9612107834526
4114991491.5493581547.45064184599817
42865817.10568609179747.8943139082031
4317931546.16350626959246.836493730412
4425272564.42583759842-37.4258375984193
4527472960.90823302394-213.908233023936
4613241532.82480347066-208.824803470661
4727022386.95118950893315.04881049107
4813831543.6923536412-160.692353641204
4911791047.37788463206131.622115367938
5020992144.73309406344-45.7330940634365
5143084756.78383486942-448.78383486942
52918989.588471923593-71.5884719235928
5318311645.30430484543185.69569515457
5433732999.67093101163373.329068988368
5517131864.71797628118-151.717976281183
5614381373.6029144211264.39708557888
57496614.116276033704-118.116276033704
5822532739.4736083271-486.473608327095
59744733.89585162573810.1041483742615
6011611328.97980072345-167.979800723452
6123522164.66336272415187.336637275852
6221441759.55749113186384.442508868137
6346913500.795008213921190.20499178608
6411121107.335757989524.66424201048259
6526942532.63343909765161.366560902355
6619732268.08399965003-295.083999650029
6717691891.06532714975-122.065327149746
6831482842.61199987024305.388000129761
6924742559.1401851189-85.1401851188994
7020842197.79454257127-113.794542571266
7119541878.3084912348575.6915087651525
7212261421.99225210079-195.992252100791
7313891234.19992993254154.800070067458
7414961533.48361343849-37.4836134384868
7522692140.73488579055128.265114209446
7618331918.83685792685-85.8368579268488
7712681456.15968637873-188.159686378728
7819431801.9257000751141.074299924899
798931050.16187739301-157.161877393006
8017621645.71938132772116.280618672279
8114031663.63315699121-260.633156991214
8214251436.44429741232-11.4442974123174
8318572209.80358352099-352.803583520993
8418402002.85928864525-162.859288645249
8515021457.5880368695644.4119631304401
8614411367.4825479514373.5174520485727
8714201494.82972788227-74.8297278822683
8814161340.4603741123875.5396258876157
8929702680.13068042694289.869319573062
9013171638.76906100243-321.769061002428
9116441527.59508349727116.404916502727
928701117.28090128073-247.280901280726
9316541838.42271230003-184.422712300027
9410541077.25347481577-23.2534748157662
95937860.26141701935976.7385829806414
9630043245.11518490017-241.115184900167
9720081988.2831961886419.7168038113635
9825472398.58864440357148.411355596435
9918851776.01254560349108.987454396511
10016261622.960281640983.03971835902
10114681379.7249692693388.2750307306675
10224452292.31865014354152.681349856462
10319642090.99982620853-126.99982620853
10413811358.5009751816722.4990248183296
10513691402.92035277262-33.9203527726175
10616591794.61573095166-135.61573095166
10728882659.22249894935228.777501050649
10812901041.90015271967248.099847280327
10928452927.46213081778-82.4621308177809
11019821979.827852963852.17214703614585
11119041949.58719132995-45.5871913299505
11213911605.09912424385-214.099124243852
113602656.006620821822-54.006620821822
11417431681.4295601031661.5704398968439
11515591763.58766194642-204.587661946421
11620142217.22824893693-203.228248936933
11721432225.22388233715-82.2238823371499
11821461963.46618066969182.533819330306
119874889.095522052561-15.0955220525607
12015901512.6291627813977.3708372186063
12115901449.00744609251140.992553907492
12212101294.58706205871-84.5870620587129
12320722032.7616860981339.2383139018678
12412811350.78820198057-69.788201980568
12514011377.6036702582223.3963297417786
126834796.13966633142337.8603336685766
12711051137.06343200133-32.0634320013253
12812721062.44553580594209.554464194059
12919441845.0980496846698.90195031534
130391445.907107745053-54.9071077450534
131761728.47372078439732.5262792156034
13216051656.19913923547-51.19913923547
133530650.755555575207-120.755555575207
13419881697.70243302651290.297566973489
13513861296.3979176868989.6020823131149
13623952529.67237166716-134.672371667164
137387425.189081639312-38.1890816393117
13817421789.16589685187-47.1658968518732
139620584.238920442835.7610795572004
140449592.015776584641-143.015776584641
141800826.912885335239-26.9128853352392
14216841473.40860095938210.591399040618
14310501095.59034688573-45.5903468857306
14426992620.2711540960378.7288459039653
14516061540.4110504499465.5889495500611
14615021289.07369180763212.926308192365
14712041263.18146610814-59.1814661081361
14811381122.2757171899615.724282810038
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15014591426.4657342799132.5342657200881
15121582212.2716126178-54.2716126178009
15211111199.56951598475-88.5695159847504
15314211298.63427385552122.365726144481
15428333102.39761178262-269.397611782617
15519552102.46473378932-147.464733789322
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15710021139.02574645302-137.025746453015
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16717011792.00720362611-91.0072036261077
16812491369.98713675596-120.987136755959
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17513691555.22390637897-186.223906378967
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17722012167.7999638521933.2000361478096
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17919001873.1262670402526.8737329597454
18012541264.29452757336-10.2945275733624
18113351280.5442452115354.455754788466
18215971474.25352317525122.746476824747
183207293.345882693859-86.3458826938593
18416451572.105383168572.8946168314958
18524292348.6665404098380.3334595901685
186151259.870823252514-108.870823252514
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18916391369.48011475152269.519885248477
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19210181162.08559871555-144.085598715549
19313831304.0443547790578.9556452209518
19413141163.31117349931150.688826500688
19513351341.78625696571-6.78625696570969
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19914071430.30126196624-23.3012619662417
200771803.802695230034-32.8026952300338
201766785.354283392297-19.3542833922967
202473504.53940207577-31.53940207577
20313761420.48889800144-44.4888980014422
20412321210.5739683857521.4260316142547
20515211490.2741573167730.7258426832285
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2071059901.636719400001157.363280599999
20815441586.97661939273-42.9766193927345
20912301209.296307678120.703692321895
21012061203.410705358562.58929464144286
21112051113.6793719552291.3206280447844
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213613607.6489534477545.35104655224561
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21511091019.3945375466589.6054624533488
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21711261118.700155332087.2998446679222
218728799.511835395338-71.5118353953381
219689720.660909028148-31.6609090281485
220592614.847146121605-22.8471461216052
221995912.65343337698382.3465666230175
22216131185.76936975335427.230630246647
22320481747.06374002901300.936259970988
224705631.47644534316873.5235546568323
225301387.667796574474-86.6677965744739
22618031718.2705568714184.7294431285858
227799826.593365348377-27.5933653483771
228861936.011940961039-75.0119409610391
22911861068.12264938918117.87735061082
23014511107.59188860895343.40811139105
231628568.57005371232959.4299462876709
2321161972.665133273747188.334866726253
23314631338.83573480007124.164265199934
234742719.41029380073422.5897061992663
2359791061.9965331093-82.9965331093011
236675698.026927977939-23.026927977939
23712411180.9387070287460.0612929712636
238676644.78651463761631.2134853623841
23910491051.52147765924-2.52147765924063
240620674.849838167517-54.8498381675174
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24216881455.84299970569232.15700029431
243736744.800747149168-8.8007471491682
244617674.677113350832-57.6771133508318
245812854.382535201088-42.3825352010878
24610511030.9069304934220.0930695065785
24716561407.5937974756248.406202524403
248705776.756169436956-71.7561694369562
2499451019.58715724673-74.5871572467288
250554649.952925452291-95.952925452291
25115971587.369773090759.63022690925464
252982969.71924932977912.2807506702211
253222307.065647752925-85.0656477529249
25412121215.28580905026-3.28580905026294
25511431202.28336055068-59.2833605506789
256435515.785223689894-80.7852236898943
257532547.129687682798-15.1296876827976
258882949.226986230923-67.2269862309228
259608622.488883490513-14.4888834905133
260459461.662822770323-2.66282277032265
261578599.439253649831-21.4392536498305
262826785.02224736954540.9777526304554
263509456.30308880334252.6969111966581
264717660.49527436543556.5047256345648
265637686.610692225194-49.6106922251942
266857836.31987515697620.6801248430244
267830863.824177766975-33.8241777669748
268652812.504388090825-160.504388090825
269707803.483728837087-96.4837288370869
2709541038.1756373186-84.1756373185982
27114611299.71982734821161.280172651788
272672732.454152357278-60.4541523572782
273778798.727911877647-20.7279118776475
27411411119.3472612128321.6527387871724
275680625.4641441365654.5358558634401
2761090984.511589478815105.488410521185
277616536.28542239768879.7145776023117
278285331.546755005533-46.5467550055334
27911451020.65506343499124.344936565013
280733761.308199328375-28.3081993283753
281888878.9737771678329.02622283216822
282849873.593025332318-24.5930253323179
28311821148.0749498367233.9250501632764
284528561.931148538585-33.9311485385851
285642708.272983930223-66.2729839302226
286947562.496019990736384.503980009264
287819687.442818956098131.557181043902
288757673.75278708208483.2472129179156
289894853.01053683687740.9894631631226






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.1013982419680460.2027964839360930.898601758031954
120.1386697935019280.2773395870038560.861330206498072
130.2170079866890510.4340159733781020.782992013310949
140.1346009260907450.2692018521814890.865399073909255
150.07616359189892320.1523271837978460.923836408101077
160.04651771512625890.09303543025251780.953482284873741
170.8170778297747750.3658443404504510.182922170225225
180.7669389684323940.4661220631352110.233061031567606
190.7886088736093050.422782252781390.211391126390695
200.7430912699208570.5138174601582870.256908730079143
210.7650551887927870.4698896224144270.234944811207213
220.7208497323283170.5583005353433660.279150267671683
230.6715437516899290.6569124966201430.328456248310071
240.6492202155518260.7015595688963480.350779784448174
250.5833810686159790.8332378627680420.416618931384021
260.5187843652272940.9624312695454120.481215634772706
270.4620326525488040.9240653050976080.537967347451196
280.3995519509762290.7991039019524570.600448049023771
290.3399309149674440.6798618299348870.660069085032556
300.2836018725226230.5672037450452470.716398127477377
310.2361242411072550.472248482214510.763875758892745
320.2030566849517540.4061133699035080.796943315048246
330.1658306208918040.3316612417836080.834169379108196
340.1804914624187090.3609829248374180.819508537581291
350.1440873585268930.2881747170537860.855912641473107
360.1176159216986680.2352318433973360.882384078301332
370.1075327867184690.2150655734369390.892467213281531
380.08570885691016370.1714177138203270.914291143089836
390.1319677515564330.2639355031128650.868032248443567
400.1055044795888320.2110089591776640.894495520411168
410.08334484123325150.1666896824665030.916655158766749
420.07487349694639490.149746993892790.925126503053605
430.1342226918274020.2684453836548030.865777308172598
440.1099655244626280.2199310489252560.890034475537372
450.1002150075665350.2004300151330710.899784992433465
460.1054985594861570.2109971189723150.894501440513843
470.2256704242378470.4513408484756940.774329575762153
480.2138063360876650.4276126721753290.786193663912335
490.2244682534008390.4489365068016780.775531746599161
500.1918432459892720.3836864919785430.808156754010728
510.2805261577551560.5610523155103120.719473842244844
520.2486340517414230.4972681034828450.751365948258577
530.251388002196880.5027760043937590.74861199780312
540.6363467075803020.7273065848393970.363653292419698
550.6137377720204790.7725244559590430.386262227979521
560.574276364940540.8514472701189210.42572363505946
570.5391506665263770.9216986669472450.460849333473623
580.8071652861044290.3856694277911410.192834713895571
590.7793799853427430.4412400293145140.220620014657257
600.7626625863602980.4746748272794040.237337413639702
610.7888443898021490.4223112203957020.211155610197851
620.9020670467294110.1958659065411790.0979329532705894
630.9999999999405281.1894322952994e-105.94716147649702e-11
640.9999999998890472.2190621373246e-101.1095310686623e-10
650.9999999998711322.57736530637455e-101.28868265318728e-10
660.999999999971985.60402364510606e-112.80201182255303e-11
670.9999999999606597.86817058670201e-113.934085293351e-11
680.9999999999902951.94107820057536e-119.70539100287678e-12
690.9999999999849393.01222365083938e-111.50611182541969e-11
700.9999999999773024.53957535666389e-112.26978767833195e-11
710.999999999965976.80600840493541e-113.4030042024677e-11
720.9999999999694816.1037789251154e-113.0518894625577e-11
730.9999999999656246.87527350947221e-113.43763675473611e-11
740.9999999999381521.23696856953847e-106.18484284769233e-11
750.9999999999236881.52623762239363e-107.63118811196813e-11
760.9999999998871712.25656974217406e-101.12828487108703e-10
770.9999999999078491.84302623781125e-109.21513118905625e-11
780.9999999999043141.91372034346004e-109.56860171730019e-11
790.999999999893442.13119879181891e-101.06559939590946e-10
800.9999999998604012.79198567789672e-101.39599283894836e-10
810.9999999999388831.22233405524459e-106.11167027622297e-11
820.9999999998898272.20345252252362e-101.10172626126181e-10
830.9999999999883132.33736073074287e-111.16868036537143e-11
840.9999999999879182.41646129578582e-111.20823064789291e-11
850.9999999999786944.261100017876e-112.130550008938e-11
860.9999999999659236.81535499526044e-113.40767749763022e-11
870.9999999999448631.10273344704558e-105.51366723522788e-11
880.9999999999162271.6754618177623e-108.3773090888115e-11
890.9999999999748945.02113320513265e-112.51056660256632e-11
900.9999999999957158.57072709756668e-124.28536354878334e-12
910.9999999999942061.15887127116113e-115.79435635580565e-12
920.9999999999969336.13306296880876e-123.06653148440438e-12
930.9999999999978124.37570617120597e-122.18785308560298e-12
940.9999999999960797.84161574084217e-123.92080787042108e-12
950.999999999994181.16400080064151e-115.82000400320754e-12
960.9999999999982913.41744540286283e-121.70872270143142e-12
970.9999999999968356.32952738379558e-123.16476369189779e-12
980.999999999996636.74079150066346e-123.37039575033173e-12
990.9999999999955098.98156832833696e-124.49078416416848e-12
1000.9999999999919421.61159466766489e-118.05797333832444e-12
1010.9999999999887082.25834335754028e-111.12917167877014e-11
1020.9999999999882172.35655426465644e-111.17827713232822e-11
1030.999999999988552.28992625503284e-111.14496312751642e-11
1040.9999999999798224.03561745080984e-112.01780872540492e-11
1050.9999999999650576.98869672136982e-113.49434836068491e-11
1060.9999999999585878.28257149236826e-114.14128574618413e-11
1070.9999999999719125.61759528409367e-112.80879764204684e-11
1080.9999999999899692.0061463145509e-111.00307315727545e-11
1090.9999999999854582.9084600909386e-111.4542300454693e-11
1100.9999999999738725.22561783203897e-112.61280891601949e-11
1110.999999999955898.82202996371557e-114.41101498185779e-11
1120.9999999999687576.24856519984259e-113.1242825999213e-11
1130.9999999999509829.80361105189738e-114.90180552594869e-11
1140.9999999999219691.56062013505381e-107.80310067526904e-11
1150.9999999999395521.20895359838697e-106.04476799193486e-11
1160.9999999999647747.04517112729985e-113.52258556364993e-11
1170.9999999999461261.07748226173672e-105.38741130868359e-11
1180.9999999999548619.02779663681875e-114.51389831840938e-11
1190.9999999999202641.59472182271818e-107.97360911359089e-11
1200.9999999998802252.3954940696918e-101.1977470348459e-10
1210.9999999998723332.55334552086142e-101.27667276043071e-10
1220.9999999998005443.98912087863123e-101.99456043931562e-10
1230.9999999997035825.92835418552149e-102.96417709276075e-10
1240.9999999995306359.38729122220138e-104.69364561110069e-10
1250.9999999992058371.58832630854032e-097.9416315427016e-10
1260.999999998722392.55522015197791e-091.27761007598895e-09
1270.9999999979276314.14473898859307e-092.07236949429654e-09
1280.9999999987426982.51460312494604e-091.25730156247302e-09
1290.9999999984468953.10621020364899e-091.5531051018245e-09
1300.9999999974667545.06649131716208e-092.53324565858104e-09
1310.999999995971498.05702035318546e-094.02851017659273e-09
1320.9999999934901131.30197745575969e-086.50988727879847e-09
1330.9999999921648211.56703579121139e-087.83517895605693e-09
1340.9999999977810414.43791732577893e-092.21895866288946e-09
1350.9999999969190196.16196249844525e-093.08098124922262e-09
1360.9999999965803346.83933174423845e-093.41966587211923e-09
1370.9999999944097131.11805738946164e-085.5902869473082e-09
1380.9999999923408931.53182139796812e-087.65910698984058e-09
1390.9999999879378882.41242239815951e-081.20621119907976e-08
1400.9999999866058672.67882662555929e-081.33941331277965e-08
1410.9999999781376394.37247225675107e-082.18623612837554e-08
1420.9999999873291172.53417662421317e-081.26708831210659e-08
1430.9999999812491023.75017962419274e-081.87508981209637e-08
1440.9999999718273295.63453417830775e-082.81726708915388e-08
1450.9999999565565618.68868770412878e-084.34434385206439e-08
1460.999999970417295.91654206835766e-082.95827103417883e-08
1470.9999999632018337.35963333749715e-083.67981666874858e-08
1480.9999999409611921.18077615985671e-075.90388079928356e-08
1490.9999999743155835.13688346631317e-082.56844173315659e-08
1500.9999999587020428.25959164738766e-084.12979582369383e-08
1510.9999999378682651.24263470637672e-076.2131735318836e-08
1520.999999915425931.69148139234747e-078.45740696173734e-08
1530.9999999074988771.85002246082836e-079.2501123041418e-08
1540.9999999873542672.52914660459235e-081.26457330229618e-08
1550.9999999884359642.3128071142865e-081.15640355714325e-08
1560.9999999843890143.12219715420012e-081.56109857710006e-08
1570.9999999857809192.84381618331191e-081.42190809165596e-08
1580.9999999871010452.57979101494794e-081.28989550747397e-08
1590.9999999791695084.16609835024941e-082.0830491751247e-08
1600.9999999997527944.94412844248907e-102.47206422124453e-10
1610.999999999775234.49540218351921e-102.24770109175961e-10
1620.9999999998068073.8638687585739e-101.93193437928695e-10
1630.999999999799634.00740457898552e-102.00370228949276e-10
1640.9999999999541259.17496504718311e-114.58748252359156e-11
1650.9999999999461221.07755440234208e-105.38777201171038e-11
1660.9999999999063321.87335592117676e-109.3667796058838e-11
1670.9999999999298231.40354901439085e-107.01774507195425e-11
1680.9999999999646857.06303868319558e-113.53151934159779e-11
1690.999999999935331.2934000546129e-106.46700027306452e-11
1700.9999999999110351.77929166757285e-108.89645833786426e-11
1710.9999999999385131.22974789604838e-106.14873948024189e-11
1720.999999999899792.00418958647162e-101.00209479323581e-10
1730.9999999999340821.31835799702003e-106.59178998510017e-11
1740.9999999998946122.1077605861548e-101.0538802930774e-10
1750.9999999999922081.55836324806469e-117.79181624032344e-12
1760.9999999999854612.90780506212342e-111.45390253106171e-11
1770.9999999999803983.92039270593553e-111.96019635296777e-11
1780.9999999999633467.33071228537938e-113.66535614268969e-11
1790.9999999999640687.186451865034e-113.593225932517e-11
1800.9999999999422161.1556727432424e-105.77836371621198e-11
1810.9999999998974612.0507829146864e-101.0253914573432e-10
1820.9999999998332223.33555644410515e-101.66777822205258e-10
1830.9999999996979766.04047232715469e-103.02023616357735e-10
1840.9999999994812121.03757595957529e-095.18787979787644e-10
1850.9999999995600128.79975314074906e-104.39987657037453e-10
1860.9999999992207521.55849694225638e-097.79248471128189e-10
1870.9999999993005281.39894433779107e-096.99472168895536e-10
1880.9999999987523342.49533148831934e-091.24766574415967e-09
1890.9999999996544346.9113267732542e-103.4556633866271e-10
1900.9999999994432451.11351020719093e-095.56755103595465e-10
1910.9999999990105461.97890851802708e-099.89454259013538e-10
1920.9999999991578651.68426938651099e-098.42134693255493e-10
1930.9999999985541462.89170781246109e-091.44585390623055e-09
1940.9999999978307684.33846406930451e-092.16923203465226e-09
1950.9999999968618916.27621714665141e-093.13810857332571e-09
1960.999999994537851.09242994221112e-085.46214971105558e-09
1970.9999999927491711.45016579440914e-087.2508289720457e-09
1980.9999999878650012.42699973905843e-081.21349986952921e-08
1990.9999999846966963.06066084035099e-081.5303304201755e-08
2000.9999999760712044.78575914882037e-082.39287957441019e-08
2010.9999999616394227.67211556280955e-083.83605778140478e-08
2020.9999999413764231.17247154169711e-075.86235770848555e-08
2030.9999999233577611.53284477481541e-077.66422387407704e-08
2040.9999998708830222.58233955389389e-071.29116977694694e-07
2050.9999998288819313.42236137220302e-071.71118068610151e-07
2060.9999997048988165.90202367489547e-072.95101183744773e-07
2070.9999997056651015.88669797151451e-072.94334898575726e-07
2080.9999996444428637.11114273943811e-073.55557136971905e-07
2090.9999994200280981.15994380389431e-065.79971901947153e-07
2100.999999315869681.36826063934273e-066.84130319671367e-07
2110.9999988941970892.21160582299631e-061.10580291149815e-06
2120.9999994700739231.05985215367997e-065.29926076839983e-07
2130.9999990843567481.8312865049684e-069.15643252484199e-07
2140.9999989232054242.1535891524287e-061.07679457621435e-06
2150.9999985539603522.89207929505786e-061.44603964752893e-06
2160.999997575440084.84911984064999e-062.42455992032499e-06
2170.9999960993801617.80123967807567e-063.90061983903784e-06
2180.9999980080712733.98385745373095e-061.99192872686547e-06
2190.9999978308643074.3382713861918e-062.1691356930959e-06
2200.9999962841432737.43171345413497e-063.71585672706748e-06
2210.9999940332509961.19334980087777e-055.96674900438885e-06
2220.9999984811851233.0376297531985e-061.51881487659925e-06
2230.999998982846542.03430692029773e-061.01715346014886e-06
2240.9999984304349413.1391301185507e-061.56956505927535e-06
2250.9999977331460034.53370799366264e-062.26685399683132e-06
2260.999996117271797.76545642036202e-063.88272821018101e-06
2270.999993234180351.35316393009462e-056.76581965047311e-06
2280.9999933752050871.32495898255909e-056.62479491279543e-06
2290.9999903104650361.93790699281853e-059.68953496409267e-06
2300.9999990958057041.80838859221412e-069.04194296107059e-07
2310.9999984751916843.04961663254573e-061.52480831627286e-06
2320.9999992308559651.53828807013589e-067.69144035067945e-07
2330.9999991180958871.76380822555188e-068.81904112775938e-07
2340.9999983833907473.23321850535275e-061.61660925267638e-06
2350.9999981885273873.62294522689666e-061.81147261344833e-06
2360.9999969039071866.19218562874011e-063.09609281437006e-06
2370.9999946489251171.0702149766519e-055.35107488325948e-06
2380.9999903841998141.92316003728203e-059.61580018641014e-06
2390.9999824950340993.50099318027374e-051.75049659013687e-05
2400.9999733316967495.3336606502424e-052.6668303251212e-05
2410.9999712518606035.74962787939351e-052.87481393969676e-05
2420.9999910619006851.78761986298513e-058.93809931492564e-06
2430.9999831424590973.3715081805023e-051.68575409025115e-05
2440.9999780420718614.3915856277992e-052.1957928138996e-05
2450.9999640750978677.18498042663795e-053.59249021331897e-05
2460.9999355825195250.0001288349609493746.44174804746868e-05
2470.9999932353208411.35293583188993e-056.76467915944964e-06
2480.9999889437765962.21124468070578e-051.10562234035289e-05
2490.9999785081620364.29836759274252e-052.14918379637126e-05
2500.9999604036466627.91927066755749e-053.95963533377875e-05
2510.9999275579044310.0001448841911381287.24420955690642e-05
2520.9998646987705330.000270602458933320.00013530122946666
2530.9997607961182230.0004784077635533750.000239203881776687
2540.9995604234959910.0008791530080189550.000439576504009477
2550.9992706401053660.001458719789267280.00072935989463364
2560.9987898830930870.002420233813825160.00121011690691258
2570.9979241716823290.004151656635341740.00207582831767087
2580.9968072856213250.006385428757349740.00319271437867487
2590.9950867573867110.00982648522657780.0049132426132889
2600.9918424549197570.01631509016048690.00815754508024343
2610.9913815035803530.01723699283929450.00861849641964726
2620.9858250695166420.02834986096671530.0141749304833576
2630.9790773449640540.04184531007189260.0209226550359463
2640.968353209061480.06329358187703970.0316467909385199
2650.9554385469984030.08912290600319380.0445614530015969
2660.9376018047990750.124796390401850.0623981952009251
2670.9103363055087690.1793273889824620.089663694491231
2680.9187519544836730.1624960910326550.0812480455163275
2690.8826594772117140.2346810455765720.117340522788286
2700.9543734804403740.09125303911925120.0456265195596256
2710.9331622627483830.1336754745032340.0668377372516171
2720.9284429474840260.1431141050319490.0715570525159745
2730.9080036183284010.1839927633431980.0919963816715992
2740.8783968823180730.2432062353638530.121603117681927
2750.8033343295795890.3933313408408230.196665670420412
2760.8994755853521480.2010488292957040.100524414647852
2770.8151517389599440.3696965220801130.184848261040056
2780.9244847091970580.1510305816058850.0755152908029424

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
11 & 0.101398241968046 & 0.202796483936093 & 0.898601758031954 \tabularnewline
12 & 0.138669793501928 & 0.277339587003856 & 0.861330206498072 \tabularnewline
13 & 0.217007986689051 & 0.434015973378102 & 0.782992013310949 \tabularnewline
14 & 0.134600926090745 & 0.269201852181489 & 0.865399073909255 \tabularnewline
15 & 0.0761635918989232 & 0.152327183797846 & 0.923836408101077 \tabularnewline
16 & 0.0465177151262589 & 0.0930354302525178 & 0.953482284873741 \tabularnewline
17 & 0.817077829774775 & 0.365844340450451 & 0.182922170225225 \tabularnewline
18 & 0.766938968432394 & 0.466122063135211 & 0.233061031567606 \tabularnewline
19 & 0.788608873609305 & 0.42278225278139 & 0.211391126390695 \tabularnewline
20 & 0.743091269920857 & 0.513817460158287 & 0.256908730079143 \tabularnewline
21 & 0.765055188792787 & 0.469889622414427 & 0.234944811207213 \tabularnewline
22 & 0.720849732328317 & 0.558300535343366 & 0.279150267671683 \tabularnewline
23 & 0.671543751689929 & 0.656912496620143 & 0.328456248310071 \tabularnewline
24 & 0.649220215551826 & 0.701559568896348 & 0.350779784448174 \tabularnewline
25 & 0.583381068615979 & 0.833237862768042 & 0.416618931384021 \tabularnewline
26 & 0.518784365227294 & 0.962431269545412 & 0.481215634772706 \tabularnewline
27 & 0.462032652548804 & 0.924065305097608 & 0.537967347451196 \tabularnewline
28 & 0.399551950976229 & 0.799103901952457 & 0.600448049023771 \tabularnewline
29 & 0.339930914967444 & 0.679861829934887 & 0.660069085032556 \tabularnewline
30 & 0.283601872522623 & 0.567203745045247 & 0.716398127477377 \tabularnewline
31 & 0.236124241107255 & 0.47224848221451 & 0.763875758892745 \tabularnewline
32 & 0.203056684951754 & 0.406113369903508 & 0.796943315048246 \tabularnewline
33 & 0.165830620891804 & 0.331661241783608 & 0.834169379108196 \tabularnewline
34 & 0.180491462418709 & 0.360982924837418 & 0.819508537581291 \tabularnewline
35 & 0.144087358526893 & 0.288174717053786 & 0.855912641473107 \tabularnewline
36 & 0.117615921698668 & 0.235231843397336 & 0.882384078301332 \tabularnewline
37 & 0.107532786718469 & 0.215065573436939 & 0.892467213281531 \tabularnewline
38 & 0.0857088569101637 & 0.171417713820327 & 0.914291143089836 \tabularnewline
39 & 0.131967751556433 & 0.263935503112865 & 0.868032248443567 \tabularnewline
40 & 0.105504479588832 & 0.211008959177664 & 0.894495520411168 \tabularnewline
41 & 0.0833448412332515 & 0.166689682466503 & 0.916655158766749 \tabularnewline
42 & 0.0748734969463949 & 0.14974699389279 & 0.925126503053605 \tabularnewline
43 & 0.134222691827402 & 0.268445383654803 & 0.865777308172598 \tabularnewline
44 & 0.109965524462628 & 0.219931048925256 & 0.890034475537372 \tabularnewline
45 & 0.100215007566535 & 0.200430015133071 & 0.899784992433465 \tabularnewline
46 & 0.105498559486157 & 0.210997118972315 & 0.894501440513843 \tabularnewline
47 & 0.225670424237847 & 0.451340848475694 & 0.774329575762153 \tabularnewline
48 & 0.213806336087665 & 0.427612672175329 & 0.786193663912335 \tabularnewline
49 & 0.224468253400839 & 0.448936506801678 & 0.775531746599161 \tabularnewline
50 & 0.191843245989272 & 0.383686491978543 & 0.808156754010728 \tabularnewline
51 & 0.280526157755156 & 0.561052315510312 & 0.719473842244844 \tabularnewline
52 & 0.248634051741423 & 0.497268103482845 & 0.751365948258577 \tabularnewline
53 & 0.25138800219688 & 0.502776004393759 & 0.74861199780312 \tabularnewline
54 & 0.636346707580302 & 0.727306584839397 & 0.363653292419698 \tabularnewline
55 & 0.613737772020479 & 0.772524455959043 & 0.386262227979521 \tabularnewline
56 & 0.57427636494054 & 0.851447270118921 & 0.42572363505946 \tabularnewline
57 & 0.539150666526377 & 0.921698666947245 & 0.460849333473623 \tabularnewline
58 & 0.807165286104429 & 0.385669427791141 & 0.192834713895571 \tabularnewline
59 & 0.779379985342743 & 0.441240029314514 & 0.220620014657257 \tabularnewline
60 & 0.762662586360298 & 0.474674827279404 & 0.237337413639702 \tabularnewline
61 & 0.788844389802149 & 0.422311220395702 & 0.211155610197851 \tabularnewline
62 & 0.902067046729411 & 0.195865906541179 & 0.0979329532705894 \tabularnewline
63 & 0.999999999940528 & 1.1894322952994e-10 & 5.94716147649702e-11 \tabularnewline
64 & 0.999999999889047 & 2.2190621373246e-10 & 1.1095310686623e-10 \tabularnewline
65 & 0.999999999871132 & 2.57736530637455e-10 & 1.28868265318728e-10 \tabularnewline
66 & 0.99999999997198 & 5.60402364510606e-11 & 2.80201182255303e-11 \tabularnewline
67 & 0.999999999960659 & 7.86817058670201e-11 & 3.934085293351e-11 \tabularnewline
68 & 0.999999999990295 & 1.94107820057536e-11 & 9.70539100287678e-12 \tabularnewline
69 & 0.999999999984939 & 3.01222365083938e-11 & 1.50611182541969e-11 \tabularnewline
70 & 0.999999999977302 & 4.53957535666389e-11 & 2.26978767833195e-11 \tabularnewline
71 & 0.99999999996597 & 6.80600840493541e-11 & 3.4030042024677e-11 \tabularnewline
72 & 0.999999999969481 & 6.1037789251154e-11 & 3.0518894625577e-11 \tabularnewline
73 & 0.999999999965624 & 6.87527350947221e-11 & 3.43763675473611e-11 \tabularnewline
74 & 0.999999999938152 & 1.23696856953847e-10 & 6.18484284769233e-11 \tabularnewline
75 & 0.999999999923688 & 1.52623762239363e-10 & 7.63118811196813e-11 \tabularnewline
76 & 0.999999999887171 & 2.25656974217406e-10 & 1.12828487108703e-10 \tabularnewline
77 & 0.999999999907849 & 1.84302623781125e-10 & 9.21513118905625e-11 \tabularnewline
78 & 0.999999999904314 & 1.91372034346004e-10 & 9.56860171730019e-11 \tabularnewline
79 & 0.99999999989344 & 2.13119879181891e-10 & 1.06559939590946e-10 \tabularnewline
80 & 0.999999999860401 & 2.79198567789672e-10 & 1.39599283894836e-10 \tabularnewline
81 & 0.999999999938883 & 1.22233405524459e-10 & 6.11167027622297e-11 \tabularnewline
82 & 0.999999999889827 & 2.20345252252362e-10 & 1.10172626126181e-10 \tabularnewline
83 & 0.999999999988313 & 2.33736073074287e-11 & 1.16868036537143e-11 \tabularnewline
84 & 0.999999999987918 & 2.41646129578582e-11 & 1.20823064789291e-11 \tabularnewline
85 & 0.999999999978694 & 4.261100017876e-11 & 2.130550008938e-11 \tabularnewline
86 & 0.999999999965923 & 6.81535499526044e-11 & 3.40767749763022e-11 \tabularnewline
87 & 0.999999999944863 & 1.10273344704558e-10 & 5.51366723522788e-11 \tabularnewline
88 & 0.999999999916227 & 1.6754618177623e-10 & 8.3773090888115e-11 \tabularnewline
89 & 0.999999999974894 & 5.02113320513265e-11 & 2.51056660256632e-11 \tabularnewline
90 & 0.999999999995715 & 8.57072709756668e-12 & 4.28536354878334e-12 \tabularnewline
91 & 0.999999999994206 & 1.15887127116113e-11 & 5.79435635580565e-12 \tabularnewline
92 & 0.999999999996933 & 6.13306296880876e-12 & 3.06653148440438e-12 \tabularnewline
93 & 0.999999999997812 & 4.37570617120597e-12 & 2.18785308560298e-12 \tabularnewline
94 & 0.999999999996079 & 7.84161574084217e-12 & 3.92080787042108e-12 \tabularnewline
95 & 0.99999999999418 & 1.16400080064151e-11 & 5.82000400320754e-12 \tabularnewline
96 & 0.999999999998291 & 3.41744540286283e-12 & 1.70872270143142e-12 \tabularnewline
97 & 0.999999999996835 & 6.32952738379558e-12 & 3.16476369189779e-12 \tabularnewline
98 & 0.99999999999663 & 6.74079150066346e-12 & 3.37039575033173e-12 \tabularnewline
99 & 0.999999999995509 & 8.98156832833696e-12 & 4.49078416416848e-12 \tabularnewline
100 & 0.999999999991942 & 1.61159466766489e-11 & 8.05797333832444e-12 \tabularnewline
101 & 0.999999999988708 & 2.25834335754028e-11 & 1.12917167877014e-11 \tabularnewline
102 & 0.999999999988217 & 2.35655426465644e-11 & 1.17827713232822e-11 \tabularnewline
103 & 0.99999999998855 & 2.28992625503284e-11 & 1.14496312751642e-11 \tabularnewline
104 & 0.999999999979822 & 4.03561745080984e-11 & 2.01780872540492e-11 \tabularnewline
105 & 0.999999999965057 & 6.98869672136982e-11 & 3.49434836068491e-11 \tabularnewline
106 & 0.999999999958587 & 8.28257149236826e-11 & 4.14128574618413e-11 \tabularnewline
107 & 0.999999999971912 & 5.61759528409367e-11 & 2.80879764204684e-11 \tabularnewline
108 & 0.999999999989969 & 2.0061463145509e-11 & 1.00307315727545e-11 \tabularnewline
109 & 0.999999999985458 & 2.9084600909386e-11 & 1.4542300454693e-11 \tabularnewline
110 & 0.999999999973872 & 5.22561783203897e-11 & 2.61280891601949e-11 \tabularnewline
111 & 0.99999999995589 & 8.82202996371557e-11 & 4.41101498185779e-11 \tabularnewline
112 & 0.999999999968757 & 6.24856519984259e-11 & 3.1242825999213e-11 \tabularnewline
113 & 0.999999999950982 & 9.80361105189738e-11 & 4.90180552594869e-11 \tabularnewline
114 & 0.999999999921969 & 1.56062013505381e-10 & 7.80310067526904e-11 \tabularnewline
115 & 0.999999999939552 & 1.20895359838697e-10 & 6.04476799193486e-11 \tabularnewline
116 & 0.999999999964774 & 7.04517112729985e-11 & 3.52258556364993e-11 \tabularnewline
117 & 0.999999999946126 & 1.07748226173672e-10 & 5.38741130868359e-11 \tabularnewline
118 & 0.999999999954861 & 9.02779663681875e-11 & 4.51389831840938e-11 \tabularnewline
119 & 0.999999999920264 & 1.59472182271818e-10 & 7.97360911359089e-11 \tabularnewline
120 & 0.999999999880225 & 2.3954940696918e-10 & 1.1977470348459e-10 \tabularnewline
121 & 0.999999999872333 & 2.55334552086142e-10 & 1.27667276043071e-10 \tabularnewline
122 & 0.999999999800544 & 3.98912087863123e-10 & 1.99456043931562e-10 \tabularnewline
123 & 0.999999999703582 & 5.92835418552149e-10 & 2.96417709276075e-10 \tabularnewline
124 & 0.999999999530635 & 9.38729122220138e-10 & 4.69364561110069e-10 \tabularnewline
125 & 0.999999999205837 & 1.58832630854032e-09 & 7.9416315427016e-10 \tabularnewline
126 & 0.99999999872239 & 2.55522015197791e-09 & 1.27761007598895e-09 \tabularnewline
127 & 0.999999997927631 & 4.14473898859307e-09 & 2.07236949429654e-09 \tabularnewline
128 & 0.999999998742698 & 2.51460312494604e-09 & 1.25730156247302e-09 \tabularnewline
129 & 0.999999998446895 & 3.10621020364899e-09 & 1.5531051018245e-09 \tabularnewline
130 & 0.999999997466754 & 5.06649131716208e-09 & 2.53324565858104e-09 \tabularnewline
131 & 0.99999999597149 & 8.05702035318546e-09 & 4.02851017659273e-09 \tabularnewline
132 & 0.999999993490113 & 1.30197745575969e-08 & 6.50988727879847e-09 \tabularnewline
133 & 0.999999992164821 & 1.56703579121139e-08 & 7.83517895605693e-09 \tabularnewline
134 & 0.999999997781041 & 4.43791732577893e-09 & 2.21895866288946e-09 \tabularnewline
135 & 0.999999996919019 & 6.16196249844525e-09 & 3.08098124922262e-09 \tabularnewline
136 & 0.999999996580334 & 6.83933174423845e-09 & 3.41966587211923e-09 \tabularnewline
137 & 0.999999994409713 & 1.11805738946164e-08 & 5.5902869473082e-09 \tabularnewline
138 & 0.999999992340893 & 1.53182139796812e-08 & 7.65910698984058e-09 \tabularnewline
139 & 0.999999987937888 & 2.41242239815951e-08 & 1.20621119907976e-08 \tabularnewline
140 & 0.999999986605867 & 2.67882662555929e-08 & 1.33941331277965e-08 \tabularnewline
141 & 0.999999978137639 & 4.37247225675107e-08 & 2.18623612837554e-08 \tabularnewline
142 & 0.999999987329117 & 2.53417662421317e-08 & 1.26708831210659e-08 \tabularnewline
143 & 0.999999981249102 & 3.75017962419274e-08 & 1.87508981209637e-08 \tabularnewline
144 & 0.999999971827329 & 5.63453417830775e-08 & 2.81726708915388e-08 \tabularnewline
145 & 0.999999956556561 & 8.68868770412878e-08 & 4.34434385206439e-08 \tabularnewline
146 & 0.99999997041729 & 5.91654206835766e-08 & 2.95827103417883e-08 \tabularnewline
147 & 0.999999963201833 & 7.35963333749715e-08 & 3.67981666874858e-08 \tabularnewline
148 & 0.999999940961192 & 1.18077615985671e-07 & 5.90388079928356e-08 \tabularnewline
149 & 0.999999974315583 & 5.13688346631317e-08 & 2.56844173315659e-08 \tabularnewline
150 & 0.999999958702042 & 8.25959164738766e-08 & 4.12979582369383e-08 \tabularnewline
151 & 0.999999937868265 & 1.24263470637672e-07 & 6.2131735318836e-08 \tabularnewline
152 & 0.99999991542593 & 1.69148139234747e-07 & 8.45740696173734e-08 \tabularnewline
153 & 0.999999907498877 & 1.85002246082836e-07 & 9.2501123041418e-08 \tabularnewline
154 & 0.999999987354267 & 2.52914660459235e-08 & 1.26457330229618e-08 \tabularnewline
155 & 0.999999988435964 & 2.3128071142865e-08 & 1.15640355714325e-08 \tabularnewline
156 & 0.999999984389014 & 3.12219715420012e-08 & 1.56109857710006e-08 \tabularnewline
157 & 0.999999985780919 & 2.84381618331191e-08 & 1.42190809165596e-08 \tabularnewline
158 & 0.999999987101045 & 2.57979101494794e-08 & 1.28989550747397e-08 \tabularnewline
159 & 0.999999979169508 & 4.16609835024941e-08 & 2.0830491751247e-08 \tabularnewline
160 & 0.999999999752794 & 4.94412844248907e-10 & 2.47206422124453e-10 \tabularnewline
161 & 0.99999999977523 & 4.49540218351921e-10 & 2.24770109175961e-10 \tabularnewline
162 & 0.999999999806807 & 3.8638687585739e-10 & 1.93193437928695e-10 \tabularnewline
163 & 0.99999999979963 & 4.00740457898552e-10 & 2.00370228949276e-10 \tabularnewline
164 & 0.999999999954125 & 9.17496504718311e-11 & 4.58748252359156e-11 \tabularnewline
165 & 0.999999999946122 & 1.07755440234208e-10 & 5.38777201171038e-11 \tabularnewline
166 & 0.999999999906332 & 1.87335592117676e-10 & 9.3667796058838e-11 \tabularnewline
167 & 0.999999999929823 & 1.40354901439085e-10 & 7.01774507195425e-11 \tabularnewline
168 & 0.999999999964685 & 7.06303868319558e-11 & 3.53151934159779e-11 \tabularnewline
169 & 0.99999999993533 & 1.2934000546129e-10 & 6.46700027306452e-11 \tabularnewline
170 & 0.999999999911035 & 1.77929166757285e-10 & 8.89645833786426e-11 \tabularnewline
171 & 0.999999999938513 & 1.22974789604838e-10 & 6.14873948024189e-11 \tabularnewline
172 & 0.99999999989979 & 2.00418958647162e-10 & 1.00209479323581e-10 \tabularnewline
173 & 0.999999999934082 & 1.31835799702003e-10 & 6.59178998510017e-11 \tabularnewline
174 & 0.999999999894612 & 2.1077605861548e-10 & 1.0538802930774e-10 \tabularnewline
175 & 0.999999999992208 & 1.55836324806469e-11 & 7.79181624032344e-12 \tabularnewline
176 & 0.999999999985461 & 2.90780506212342e-11 & 1.45390253106171e-11 \tabularnewline
177 & 0.999999999980398 & 3.92039270593553e-11 & 1.96019635296777e-11 \tabularnewline
178 & 0.999999999963346 & 7.33071228537938e-11 & 3.66535614268969e-11 \tabularnewline
179 & 0.999999999964068 & 7.186451865034e-11 & 3.593225932517e-11 \tabularnewline
180 & 0.999999999942216 & 1.1556727432424e-10 & 5.77836371621198e-11 \tabularnewline
181 & 0.999999999897461 & 2.0507829146864e-10 & 1.0253914573432e-10 \tabularnewline
182 & 0.999999999833222 & 3.33555644410515e-10 & 1.66777822205258e-10 \tabularnewline
183 & 0.999999999697976 & 6.04047232715469e-10 & 3.02023616357735e-10 \tabularnewline
184 & 0.999999999481212 & 1.03757595957529e-09 & 5.18787979787644e-10 \tabularnewline
185 & 0.999999999560012 & 8.79975314074906e-10 & 4.39987657037453e-10 \tabularnewline
186 & 0.999999999220752 & 1.55849694225638e-09 & 7.79248471128189e-10 \tabularnewline
187 & 0.999999999300528 & 1.39894433779107e-09 & 6.99472168895536e-10 \tabularnewline
188 & 0.999999998752334 & 2.49533148831934e-09 & 1.24766574415967e-09 \tabularnewline
189 & 0.999999999654434 & 6.9113267732542e-10 & 3.4556633866271e-10 \tabularnewline
190 & 0.999999999443245 & 1.11351020719093e-09 & 5.56755103595465e-10 \tabularnewline
191 & 0.999999999010546 & 1.97890851802708e-09 & 9.89454259013538e-10 \tabularnewline
192 & 0.999999999157865 & 1.68426938651099e-09 & 8.42134693255493e-10 \tabularnewline
193 & 0.999999998554146 & 2.89170781246109e-09 & 1.44585390623055e-09 \tabularnewline
194 & 0.999999997830768 & 4.33846406930451e-09 & 2.16923203465226e-09 \tabularnewline
195 & 0.999999996861891 & 6.27621714665141e-09 & 3.13810857332571e-09 \tabularnewline
196 & 0.99999999453785 & 1.09242994221112e-08 & 5.46214971105558e-09 \tabularnewline
197 & 0.999999992749171 & 1.45016579440914e-08 & 7.2508289720457e-09 \tabularnewline
198 & 0.999999987865001 & 2.42699973905843e-08 & 1.21349986952921e-08 \tabularnewline
199 & 0.999999984696696 & 3.06066084035099e-08 & 1.5303304201755e-08 \tabularnewline
200 & 0.999999976071204 & 4.78575914882037e-08 & 2.39287957441019e-08 \tabularnewline
201 & 0.999999961639422 & 7.67211556280955e-08 & 3.83605778140478e-08 \tabularnewline
202 & 0.999999941376423 & 1.17247154169711e-07 & 5.86235770848555e-08 \tabularnewline
203 & 0.999999923357761 & 1.53284477481541e-07 & 7.66422387407704e-08 \tabularnewline
204 & 0.999999870883022 & 2.58233955389389e-07 & 1.29116977694694e-07 \tabularnewline
205 & 0.999999828881931 & 3.42236137220302e-07 & 1.71118068610151e-07 \tabularnewline
206 & 0.999999704898816 & 5.90202367489547e-07 & 2.95101183744773e-07 \tabularnewline
207 & 0.999999705665101 & 5.88669797151451e-07 & 2.94334898575726e-07 \tabularnewline
208 & 0.999999644442863 & 7.11114273943811e-07 & 3.55557136971905e-07 \tabularnewline
209 & 0.999999420028098 & 1.15994380389431e-06 & 5.79971901947153e-07 \tabularnewline
210 & 0.99999931586968 & 1.36826063934273e-06 & 6.84130319671367e-07 \tabularnewline
211 & 0.999998894197089 & 2.21160582299631e-06 & 1.10580291149815e-06 \tabularnewline
212 & 0.999999470073923 & 1.05985215367997e-06 & 5.29926076839983e-07 \tabularnewline
213 & 0.999999084356748 & 1.8312865049684e-06 & 9.15643252484199e-07 \tabularnewline
214 & 0.999998923205424 & 2.1535891524287e-06 & 1.07679457621435e-06 \tabularnewline
215 & 0.999998553960352 & 2.89207929505786e-06 & 1.44603964752893e-06 \tabularnewline
216 & 0.99999757544008 & 4.84911984064999e-06 & 2.42455992032499e-06 \tabularnewline
217 & 0.999996099380161 & 7.80123967807567e-06 & 3.90061983903784e-06 \tabularnewline
218 & 0.999998008071273 & 3.98385745373095e-06 & 1.99192872686547e-06 \tabularnewline
219 & 0.999997830864307 & 4.3382713861918e-06 & 2.1691356930959e-06 \tabularnewline
220 & 0.999996284143273 & 7.43171345413497e-06 & 3.71585672706748e-06 \tabularnewline
221 & 0.999994033250996 & 1.19334980087777e-05 & 5.96674900438885e-06 \tabularnewline
222 & 0.999998481185123 & 3.0376297531985e-06 & 1.51881487659925e-06 \tabularnewline
223 & 0.99999898284654 & 2.03430692029773e-06 & 1.01715346014886e-06 \tabularnewline
224 & 0.999998430434941 & 3.1391301185507e-06 & 1.56956505927535e-06 \tabularnewline
225 & 0.999997733146003 & 4.53370799366264e-06 & 2.26685399683132e-06 \tabularnewline
226 & 0.99999611727179 & 7.76545642036202e-06 & 3.88272821018101e-06 \tabularnewline
227 & 0.99999323418035 & 1.35316393009462e-05 & 6.76581965047311e-06 \tabularnewline
228 & 0.999993375205087 & 1.32495898255909e-05 & 6.62479491279543e-06 \tabularnewline
229 & 0.999990310465036 & 1.93790699281853e-05 & 9.68953496409267e-06 \tabularnewline
230 & 0.999999095805704 & 1.80838859221412e-06 & 9.04194296107059e-07 \tabularnewline
231 & 0.999998475191684 & 3.04961663254573e-06 & 1.52480831627286e-06 \tabularnewline
232 & 0.999999230855965 & 1.53828807013589e-06 & 7.69144035067945e-07 \tabularnewline
233 & 0.999999118095887 & 1.76380822555188e-06 & 8.81904112775938e-07 \tabularnewline
234 & 0.999998383390747 & 3.23321850535275e-06 & 1.61660925267638e-06 \tabularnewline
235 & 0.999998188527387 & 3.62294522689666e-06 & 1.81147261344833e-06 \tabularnewline
236 & 0.999996903907186 & 6.19218562874011e-06 & 3.09609281437006e-06 \tabularnewline
237 & 0.999994648925117 & 1.0702149766519e-05 & 5.35107488325948e-06 \tabularnewline
238 & 0.999990384199814 & 1.92316003728203e-05 & 9.61580018641014e-06 \tabularnewline
239 & 0.999982495034099 & 3.50099318027374e-05 & 1.75049659013687e-05 \tabularnewline
240 & 0.999973331696749 & 5.3336606502424e-05 & 2.6668303251212e-05 \tabularnewline
241 & 0.999971251860603 & 5.74962787939351e-05 & 2.87481393969676e-05 \tabularnewline
242 & 0.999991061900685 & 1.78761986298513e-05 & 8.93809931492564e-06 \tabularnewline
243 & 0.999983142459097 & 3.3715081805023e-05 & 1.68575409025115e-05 \tabularnewline
244 & 0.999978042071861 & 4.3915856277992e-05 & 2.1957928138996e-05 \tabularnewline
245 & 0.999964075097867 & 7.18498042663795e-05 & 3.59249021331897e-05 \tabularnewline
246 & 0.999935582519525 & 0.000128834960949374 & 6.44174804746868e-05 \tabularnewline
247 & 0.999993235320841 & 1.35293583188993e-05 & 6.76467915944964e-06 \tabularnewline
248 & 0.999988943776596 & 2.21124468070578e-05 & 1.10562234035289e-05 \tabularnewline
249 & 0.999978508162036 & 4.29836759274252e-05 & 2.14918379637126e-05 \tabularnewline
250 & 0.999960403646662 & 7.91927066755749e-05 & 3.95963533377875e-05 \tabularnewline
251 & 0.999927557904431 & 0.000144884191138128 & 7.24420955690642e-05 \tabularnewline
252 & 0.999864698770533 & 0.00027060245893332 & 0.00013530122946666 \tabularnewline
253 & 0.999760796118223 & 0.000478407763553375 & 0.000239203881776687 \tabularnewline
254 & 0.999560423495991 & 0.000879153008018955 & 0.000439576504009477 \tabularnewline
255 & 0.999270640105366 & 0.00145871978926728 & 0.00072935989463364 \tabularnewline
256 & 0.998789883093087 & 0.00242023381382516 & 0.00121011690691258 \tabularnewline
257 & 0.997924171682329 & 0.00415165663534174 & 0.00207582831767087 \tabularnewline
258 & 0.996807285621325 & 0.00638542875734974 & 0.00319271437867487 \tabularnewline
259 & 0.995086757386711 & 0.0098264852265778 & 0.0049132426132889 \tabularnewline
260 & 0.991842454919757 & 0.0163150901604869 & 0.00815754508024343 \tabularnewline
261 & 0.991381503580353 & 0.0172369928392945 & 0.00861849641964726 \tabularnewline
262 & 0.985825069516642 & 0.0283498609667153 & 0.0141749304833576 \tabularnewline
263 & 0.979077344964054 & 0.0418453100718926 & 0.0209226550359463 \tabularnewline
264 & 0.96835320906148 & 0.0632935818770397 & 0.0316467909385199 \tabularnewline
265 & 0.955438546998403 & 0.0891229060031938 & 0.0445614530015969 \tabularnewline
266 & 0.937601804799075 & 0.12479639040185 & 0.0623981952009251 \tabularnewline
267 & 0.910336305508769 & 0.179327388982462 & 0.089663694491231 \tabularnewline
268 & 0.918751954483673 & 0.162496091032655 & 0.0812480455163275 \tabularnewline
269 & 0.882659477211714 & 0.234681045576572 & 0.117340522788286 \tabularnewline
270 & 0.954373480440374 & 0.0912530391192512 & 0.0456265195596256 \tabularnewline
271 & 0.933162262748383 & 0.133675474503234 & 0.0668377372516171 \tabularnewline
272 & 0.928442947484026 & 0.143114105031949 & 0.0715570525159745 \tabularnewline
273 & 0.908003618328401 & 0.183992763343198 & 0.0919963816715992 \tabularnewline
274 & 0.878396882318073 & 0.243206235363853 & 0.121603117681927 \tabularnewline
275 & 0.803334329579589 & 0.393331340840823 & 0.196665670420412 \tabularnewline
276 & 0.899475585352148 & 0.201048829295704 & 0.100524414647852 \tabularnewline
277 & 0.815151738959944 & 0.369696522080113 & 0.184848261040056 \tabularnewline
278 & 0.924484709197058 & 0.151030581605885 & 0.0755152908029424 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154849&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]11[/C][C]0.101398241968046[/C][C]0.202796483936093[/C][C]0.898601758031954[/C][/ROW]
[ROW][C]12[/C][C]0.138669793501928[/C][C]0.277339587003856[/C][C]0.861330206498072[/C][/ROW]
[ROW][C]13[/C][C]0.217007986689051[/C][C]0.434015973378102[/C][C]0.782992013310949[/C][/ROW]
[ROW][C]14[/C][C]0.134600926090745[/C][C]0.269201852181489[/C][C]0.865399073909255[/C][/ROW]
[ROW][C]15[/C][C]0.0761635918989232[/C][C]0.152327183797846[/C][C]0.923836408101077[/C][/ROW]
[ROW][C]16[/C][C]0.0465177151262589[/C][C]0.0930354302525178[/C][C]0.953482284873741[/C][/ROW]
[ROW][C]17[/C][C]0.817077829774775[/C][C]0.365844340450451[/C][C]0.182922170225225[/C][/ROW]
[ROW][C]18[/C][C]0.766938968432394[/C][C]0.466122063135211[/C][C]0.233061031567606[/C][/ROW]
[ROW][C]19[/C][C]0.788608873609305[/C][C]0.42278225278139[/C][C]0.211391126390695[/C][/ROW]
[ROW][C]20[/C][C]0.743091269920857[/C][C]0.513817460158287[/C][C]0.256908730079143[/C][/ROW]
[ROW][C]21[/C][C]0.765055188792787[/C][C]0.469889622414427[/C][C]0.234944811207213[/C][/ROW]
[ROW][C]22[/C][C]0.720849732328317[/C][C]0.558300535343366[/C][C]0.279150267671683[/C][/ROW]
[ROW][C]23[/C][C]0.671543751689929[/C][C]0.656912496620143[/C][C]0.328456248310071[/C][/ROW]
[ROW][C]24[/C][C]0.649220215551826[/C][C]0.701559568896348[/C][C]0.350779784448174[/C][/ROW]
[ROW][C]25[/C][C]0.583381068615979[/C][C]0.833237862768042[/C][C]0.416618931384021[/C][/ROW]
[ROW][C]26[/C][C]0.518784365227294[/C][C]0.962431269545412[/C][C]0.481215634772706[/C][/ROW]
[ROW][C]27[/C][C]0.462032652548804[/C][C]0.924065305097608[/C][C]0.537967347451196[/C][/ROW]
[ROW][C]28[/C][C]0.399551950976229[/C][C]0.799103901952457[/C][C]0.600448049023771[/C][/ROW]
[ROW][C]29[/C][C]0.339930914967444[/C][C]0.679861829934887[/C][C]0.660069085032556[/C][/ROW]
[ROW][C]30[/C][C]0.283601872522623[/C][C]0.567203745045247[/C][C]0.716398127477377[/C][/ROW]
[ROW][C]31[/C][C]0.236124241107255[/C][C]0.47224848221451[/C][C]0.763875758892745[/C][/ROW]
[ROW][C]32[/C][C]0.203056684951754[/C][C]0.406113369903508[/C][C]0.796943315048246[/C][/ROW]
[ROW][C]33[/C][C]0.165830620891804[/C][C]0.331661241783608[/C][C]0.834169379108196[/C][/ROW]
[ROW][C]34[/C][C]0.180491462418709[/C][C]0.360982924837418[/C][C]0.819508537581291[/C][/ROW]
[ROW][C]35[/C][C]0.144087358526893[/C][C]0.288174717053786[/C][C]0.855912641473107[/C][/ROW]
[ROW][C]36[/C][C]0.117615921698668[/C][C]0.235231843397336[/C][C]0.882384078301332[/C][/ROW]
[ROW][C]37[/C][C]0.107532786718469[/C][C]0.215065573436939[/C][C]0.892467213281531[/C][/ROW]
[ROW][C]38[/C][C]0.0857088569101637[/C][C]0.171417713820327[/C][C]0.914291143089836[/C][/ROW]
[ROW][C]39[/C][C]0.131967751556433[/C][C]0.263935503112865[/C][C]0.868032248443567[/C][/ROW]
[ROW][C]40[/C][C]0.105504479588832[/C][C]0.211008959177664[/C][C]0.894495520411168[/C][/ROW]
[ROW][C]41[/C][C]0.0833448412332515[/C][C]0.166689682466503[/C][C]0.916655158766749[/C][/ROW]
[ROW][C]42[/C][C]0.0748734969463949[/C][C]0.14974699389279[/C][C]0.925126503053605[/C][/ROW]
[ROW][C]43[/C][C]0.134222691827402[/C][C]0.268445383654803[/C][C]0.865777308172598[/C][/ROW]
[ROW][C]44[/C][C]0.109965524462628[/C][C]0.219931048925256[/C][C]0.890034475537372[/C][/ROW]
[ROW][C]45[/C][C]0.100215007566535[/C][C]0.200430015133071[/C][C]0.899784992433465[/C][/ROW]
[ROW][C]46[/C][C]0.105498559486157[/C][C]0.210997118972315[/C][C]0.894501440513843[/C][/ROW]
[ROW][C]47[/C][C]0.225670424237847[/C][C]0.451340848475694[/C][C]0.774329575762153[/C][/ROW]
[ROW][C]48[/C][C]0.213806336087665[/C][C]0.427612672175329[/C][C]0.786193663912335[/C][/ROW]
[ROW][C]49[/C][C]0.224468253400839[/C][C]0.448936506801678[/C][C]0.775531746599161[/C][/ROW]
[ROW][C]50[/C][C]0.191843245989272[/C][C]0.383686491978543[/C][C]0.808156754010728[/C][/ROW]
[ROW][C]51[/C][C]0.280526157755156[/C][C]0.561052315510312[/C][C]0.719473842244844[/C][/ROW]
[ROW][C]52[/C][C]0.248634051741423[/C][C]0.497268103482845[/C][C]0.751365948258577[/C][/ROW]
[ROW][C]53[/C][C]0.25138800219688[/C][C]0.502776004393759[/C][C]0.74861199780312[/C][/ROW]
[ROW][C]54[/C][C]0.636346707580302[/C][C]0.727306584839397[/C][C]0.363653292419698[/C][/ROW]
[ROW][C]55[/C][C]0.613737772020479[/C][C]0.772524455959043[/C][C]0.386262227979521[/C][/ROW]
[ROW][C]56[/C][C]0.57427636494054[/C][C]0.851447270118921[/C][C]0.42572363505946[/C][/ROW]
[ROW][C]57[/C][C]0.539150666526377[/C][C]0.921698666947245[/C][C]0.460849333473623[/C][/ROW]
[ROW][C]58[/C][C]0.807165286104429[/C][C]0.385669427791141[/C][C]0.192834713895571[/C][/ROW]
[ROW][C]59[/C][C]0.779379985342743[/C][C]0.441240029314514[/C][C]0.220620014657257[/C][/ROW]
[ROW][C]60[/C][C]0.762662586360298[/C][C]0.474674827279404[/C][C]0.237337413639702[/C][/ROW]
[ROW][C]61[/C][C]0.788844389802149[/C][C]0.422311220395702[/C][C]0.211155610197851[/C][/ROW]
[ROW][C]62[/C][C]0.902067046729411[/C][C]0.195865906541179[/C][C]0.0979329532705894[/C][/ROW]
[ROW][C]63[/C][C]0.999999999940528[/C][C]1.1894322952994e-10[/C][C]5.94716147649702e-11[/C][/ROW]
[ROW][C]64[/C][C]0.999999999889047[/C][C]2.2190621373246e-10[/C][C]1.1095310686623e-10[/C][/ROW]
[ROW][C]65[/C][C]0.999999999871132[/C][C]2.57736530637455e-10[/C][C]1.28868265318728e-10[/C][/ROW]
[ROW][C]66[/C][C]0.99999999997198[/C][C]5.60402364510606e-11[/C][C]2.80201182255303e-11[/C][/ROW]
[ROW][C]67[/C][C]0.999999999960659[/C][C]7.86817058670201e-11[/C][C]3.934085293351e-11[/C][/ROW]
[ROW][C]68[/C][C]0.999999999990295[/C][C]1.94107820057536e-11[/C][C]9.70539100287678e-12[/C][/ROW]
[ROW][C]69[/C][C]0.999999999984939[/C][C]3.01222365083938e-11[/C][C]1.50611182541969e-11[/C][/ROW]
[ROW][C]70[/C][C]0.999999999977302[/C][C]4.53957535666389e-11[/C][C]2.26978767833195e-11[/C][/ROW]
[ROW][C]71[/C][C]0.99999999996597[/C][C]6.80600840493541e-11[/C][C]3.4030042024677e-11[/C][/ROW]
[ROW][C]72[/C][C]0.999999999969481[/C][C]6.1037789251154e-11[/C][C]3.0518894625577e-11[/C][/ROW]
[ROW][C]73[/C][C]0.999999999965624[/C][C]6.87527350947221e-11[/C][C]3.43763675473611e-11[/C][/ROW]
[ROW][C]74[/C][C]0.999999999938152[/C][C]1.23696856953847e-10[/C][C]6.18484284769233e-11[/C][/ROW]
[ROW][C]75[/C][C]0.999999999923688[/C][C]1.52623762239363e-10[/C][C]7.63118811196813e-11[/C][/ROW]
[ROW][C]76[/C][C]0.999999999887171[/C][C]2.25656974217406e-10[/C][C]1.12828487108703e-10[/C][/ROW]
[ROW][C]77[/C][C]0.999999999907849[/C][C]1.84302623781125e-10[/C][C]9.21513118905625e-11[/C][/ROW]
[ROW][C]78[/C][C]0.999999999904314[/C][C]1.91372034346004e-10[/C][C]9.56860171730019e-11[/C][/ROW]
[ROW][C]79[/C][C]0.99999999989344[/C][C]2.13119879181891e-10[/C][C]1.06559939590946e-10[/C][/ROW]
[ROW][C]80[/C][C]0.999999999860401[/C][C]2.79198567789672e-10[/C][C]1.39599283894836e-10[/C][/ROW]
[ROW][C]81[/C][C]0.999999999938883[/C][C]1.22233405524459e-10[/C][C]6.11167027622297e-11[/C][/ROW]
[ROW][C]82[/C][C]0.999999999889827[/C][C]2.20345252252362e-10[/C][C]1.10172626126181e-10[/C][/ROW]
[ROW][C]83[/C][C]0.999999999988313[/C][C]2.33736073074287e-11[/C][C]1.16868036537143e-11[/C][/ROW]
[ROW][C]84[/C][C]0.999999999987918[/C][C]2.41646129578582e-11[/C][C]1.20823064789291e-11[/C][/ROW]
[ROW][C]85[/C][C]0.999999999978694[/C][C]4.261100017876e-11[/C][C]2.130550008938e-11[/C][/ROW]
[ROW][C]86[/C][C]0.999999999965923[/C][C]6.81535499526044e-11[/C][C]3.40767749763022e-11[/C][/ROW]
[ROW][C]87[/C][C]0.999999999944863[/C][C]1.10273344704558e-10[/C][C]5.51366723522788e-11[/C][/ROW]
[ROW][C]88[/C][C]0.999999999916227[/C][C]1.6754618177623e-10[/C][C]8.3773090888115e-11[/C][/ROW]
[ROW][C]89[/C][C]0.999999999974894[/C][C]5.02113320513265e-11[/C][C]2.51056660256632e-11[/C][/ROW]
[ROW][C]90[/C][C]0.999999999995715[/C][C]8.57072709756668e-12[/C][C]4.28536354878334e-12[/C][/ROW]
[ROW][C]91[/C][C]0.999999999994206[/C][C]1.15887127116113e-11[/C][C]5.79435635580565e-12[/C][/ROW]
[ROW][C]92[/C][C]0.999999999996933[/C][C]6.13306296880876e-12[/C][C]3.06653148440438e-12[/C][/ROW]
[ROW][C]93[/C][C]0.999999999997812[/C][C]4.37570617120597e-12[/C][C]2.18785308560298e-12[/C][/ROW]
[ROW][C]94[/C][C]0.999999999996079[/C][C]7.84161574084217e-12[/C][C]3.92080787042108e-12[/C][/ROW]
[ROW][C]95[/C][C]0.99999999999418[/C][C]1.16400080064151e-11[/C][C]5.82000400320754e-12[/C][/ROW]
[ROW][C]96[/C][C]0.999999999998291[/C][C]3.41744540286283e-12[/C][C]1.70872270143142e-12[/C][/ROW]
[ROW][C]97[/C][C]0.999999999996835[/C][C]6.32952738379558e-12[/C][C]3.16476369189779e-12[/C][/ROW]
[ROW][C]98[/C][C]0.99999999999663[/C][C]6.74079150066346e-12[/C][C]3.37039575033173e-12[/C][/ROW]
[ROW][C]99[/C][C]0.999999999995509[/C][C]8.98156832833696e-12[/C][C]4.49078416416848e-12[/C][/ROW]
[ROW][C]100[/C][C]0.999999999991942[/C][C]1.61159466766489e-11[/C][C]8.05797333832444e-12[/C][/ROW]
[ROW][C]101[/C][C]0.999999999988708[/C][C]2.25834335754028e-11[/C][C]1.12917167877014e-11[/C][/ROW]
[ROW][C]102[/C][C]0.999999999988217[/C][C]2.35655426465644e-11[/C][C]1.17827713232822e-11[/C][/ROW]
[ROW][C]103[/C][C]0.99999999998855[/C][C]2.28992625503284e-11[/C][C]1.14496312751642e-11[/C][/ROW]
[ROW][C]104[/C][C]0.999999999979822[/C][C]4.03561745080984e-11[/C][C]2.01780872540492e-11[/C][/ROW]
[ROW][C]105[/C][C]0.999999999965057[/C][C]6.98869672136982e-11[/C][C]3.49434836068491e-11[/C][/ROW]
[ROW][C]106[/C][C]0.999999999958587[/C][C]8.28257149236826e-11[/C][C]4.14128574618413e-11[/C][/ROW]
[ROW][C]107[/C][C]0.999999999971912[/C][C]5.61759528409367e-11[/C][C]2.80879764204684e-11[/C][/ROW]
[ROW][C]108[/C][C]0.999999999989969[/C][C]2.0061463145509e-11[/C][C]1.00307315727545e-11[/C][/ROW]
[ROW][C]109[/C][C]0.999999999985458[/C][C]2.9084600909386e-11[/C][C]1.4542300454693e-11[/C][/ROW]
[ROW][C]110[/C][C]0.999999999973872[/C][C]5.22561783203897e-11[/C][C]2.61280891601949e-11[/C][/ROW]
[ROW][C]111[/C][C]0.99999999995589[/C][C]8.82202996371557e-11[/C][C]4.41101498185779e-11[/C][/ROW]
[ROW][C]112[/C][C]0.999999999968757[/C][C]6.24856519984259e-11[/C][C]3.1242825999213e-11[/C][/ROW]
[ROW][C]113[/C][C]0.999999999950982[/C][C]9.80361105189738e-11[/C][C]4.90180552594869e-11[/C][/ROW]
[ROW][C]114[/C][C]0.999999999921969[/C][C]1.56062013505381e-10[/C][C]7.80310067526904e-11[/C][/ROW]
[ROW][C]115[/C][C]0.999999999939552[/C][C]1.20895359838697e-10[/C][C]6.04476799193486e-11[/C][/ROW]
[ROW][C]116[/C][C]0.999999999964774[/C][C]7.04517112729985e-11[/C][C]3.52258556364993e-11[/C][/ROW]
[ROW][C]117[/C][C]0.999999999946126[/C][C]1.07748226173672e-10[/C][C]5.38741130868359e-11[/C][/ROW]
[ROW][C]118[/C][C]0.999999999954861[/C][C]9.02779663681875e-11[/C][C]4.51389831840938e-11[/C][/ROW]
[ROW][C]119[/C][C]0.999999999920264[/C][C]1.59472182271818e-10[/C][C]7.97360911359089e-11[/C][/ROW]
[ROW][C]120[/C][C]0.999999999880225[/C][C]2.3954940696918e-10[/C][C]1.1977470348459e-10[/C][/ROW]
[ROW][C]121[/C][C]0.999999999872333[/C][C]2.55334552086142e-10[/C][C]1.27667276043071e-10[/C][/ROW]
[ROW][C]122[/C][C]0.999999999800544[/C][C]3.98912087863123e-10[/C][C]1.99456043931562e-10[/C][/ROW]
[ROW][C]123[/C][C]0.999999999703582[/C][C]5.92835418552149e-10[/C][C]2.96417709276075e-10[/C][/ROW]
[ROW][C]124[/C][C]0.999999999530635[/C][C]9.38729122220138e-10[/C][C]4.69364561110069e-10[/C][/ROW]
[ROW][C]125[/C][C]0.999999999205837[/C][C]1.58832630854032e-09[/C][C]7.9416315427016e-10[/C][/ROW]
[ROW][C]126[/C][C]0.99999999872239[/C][C]2.55522015197791e-09[/C][C]1.27761007598895e-09[/C][/ROW]
[ROW][C]127[/C][C]0.999999997927631[/C][C]4.14473898859307e-09[/C][C]2.07236949429654e-09[/C][/ROW]
[ROW][C]128[/C][C]0.999999998742698[/C][C]2.51460312494604e-09[/C][C]1.25730156247302e-09[/C][/ROW]
[ROW][C]129[/C][C]0.999999998446895[/C][C]3.10621020364899e-09[/C][C]1.5531051018245e-09[/C][/ROW]
[ROW][C]130[/C][C]0.999999997466754[/C][C]5.06649131716208e-09[/C][C]2.53324565858104e-09[/C][/ROW]
[ROW][C]131[/C][C]0.99999999597149[/C][C]8.05702035318546e-09[/C][C]4.02851017659273e-09[/C][/ROW]
[ROW][C]132[/C][C]0.999999993490113[/C][C]1.30197745575969e-08[/C][C]6.50988727879847e-09[/C][/ROW]
[ROW][C]133[/C][C]0.999999992164821[/C][C]1.56703579121139e-08[/C][C]7.83517895605693e-09[/C][/ROW]
[ROW][C]134[/C][C]0.999999997781041[/C][C]4.43791732577893e-09[/C][C]2.21895866288946e-09[/C][/ROW]
[ROW][C]135[/C][C]0.999999996919019[/C][C]6.16196249844525e-09[/C][C]3.08098124922262e-09[/C][/ROW]
[ROW][C]136[/C][C]0.999999996580334[/C][C]6.83933174423845e-09[/C][C]3.41966587211923e-09[/C][/ROW]
[ROW][C]137[/C][C]0.999999994409713[/C][C]1.11805738946164e-08[/C][C]5.5902869473082e-09[/C][/ROW]
[ROW][C]138[/C][C]0.999999992340893[/C][C]1.53182139796812e-08[/C][C]7.65910698984058e-09[/C][/ROW]
[ROW][C]139[/C][C]0.999999987937888[/C][C]2.41242239815951e-08[/C][C]1.20621119907976e-08[/C][/ROW]
[ROW][C]140[/C][C]0.999999986605867[/C][C]2.67882662555929e-08[/C][C]1.33941331277965e-08[/C][/ROW]
[ROW][C]141[/C][C]0.999999978137639[/C][C]4.37247225675107e-08[/C][C]2.18623612837554e-08[/C][/ROW]
[ROW][C]142[/C][C]0.999999987329117[/C][C]2.53417662421317e-08[/C][C]1.26708831210659e-08[/C][/ROW]
[ROW][C]143[/C][C]0.999999981249102[/C][C]3.75017962419274e-08[/C][C]1.87508981209637e-08[/C][/ROW]
[ROW][C]144[/C][C]0.999999971827329[/C][C]5.63453417830775e-08[/C][C]2.81726708915388e-08[/C][/ROW]
[ROW][C]145[/C][C]0.999999956556561[/C][C]8.68868770412878e-08[/C][C]4.34434385206439e-08[/C][/ROW]
[ROW][C]146[/C][C]0.99999997041729[/C][C]5.91654206835766e-08[/C][C]2.95827103417883e-08[/C][/ROW]
[ROW][C]147[/C][C]0.999999963201833[/C][C]7.35963333749715e-08[/C][C]3.67981666874858e-08[/C][/ROW]
[ROW][C]148[/C][C]0.999999940961192[/C][C]1.18077615985671e-07[/C][C]5.90388079928356e-08[/C][/ROW]
[ROW][C]149[/C][C]0.999999974315583[/C][C]5.13688346631317e-08[/C][C]2.56844173315659e-08[/C][/ROW]
[ROW][C]150[/C][C]0.999999958702042[/C][C]8.25959164738766e-08[/C][C]4.12979582369383e-08[/C][/ROW]
[ROW][C]151[/C][C]0.999999937868265[/C][C]1.24263470637672e-07[/C][C]6.2131735318836e-08[/C][/ROW]
[ROW][C]152[/C][C]0.99999991542593[/C][C]1.69148139234747e-07[/C][C]8.45740696173734e-08[/C][/ROW]
[ROW][C]153[/C][C]0.999999907498877[/C][C]1.85002246082836e-07[/C][C]9.2501123041418e-08[/C][/ROW]
[ROW][C]154[/C][C]0.999999987354267[/C][C]2.52914660459235e-08[/C][C]1.26457330229618e-08[/C][/ROW]
[ROW][C]155[/C][C]0.999999988435964[/C][C]2.3128071142865e-08[/C][C]1.15640355714325e-08[/C][/ROW]
[ROW][C]156[/C][C]0.999999984389014[/C][C]3.12219715420012e-08[/C][C]1.56109857710006e-08[/C][/ROW]
[ROW][C]157[/C][C]0.999999985780919[/C][C]2.84381618331191e-08[/C][C]1.42190809165596e-08[/C][/ROW]
[ROW][C]158[/C][C]0.999999987101045[/C][C]2.57979101494794e-08[/C][C]1.28989550747397e-08[/C][/ROW]
[ROW][C]159[/C][C]0.999999979169508[/C][C]4.16609835024941e-08[/C][C]2.0830491751247e-08[/C][/ROW]
[ROW][C]160[/C][C]0.999999999752794[/C][C]4.94412844248907e-10[/C][C]2.47206422124453e-10[/C][/ROW]
[ROW][C]161[/C][C]0.99999999977523[/C][C]4.49540218351921e-10[/C][C]2.24770109175961e-10[/C][/ROW]
[ROW][C]162[/C][C]0.999999999806807[/C][C]3.8638687585739e-10[/C][C]1.93193437928695e-10[/C][/ROW]
[ROW][C]163[/C][C]0.99999999979963[/C][C]4.00740457898552e-10[/C][C]2.00370228949276e-10[/C][/ROW]
[ROW][C]164[/C][C]0.999999999954125[/C][C]9.17496504718311e-11[/C][C]4.58748252359156e-11[/C][/ROW]
[ROW][C]165[/C][C]0.999999999946122[/C][C]1.07755440234208e-10[/C][C]5.38777201171038e-11[/C][/ROW]
[ROW][C]166[/C][C]0.999999999906332[/C][C]1.87335592117676e-10[/C][C]9.3667796058838e-11[/C][/ROW]
[ROW][C]167[/C][C]0.999999999929823[/C][C]1.40354901439085e-10[/C][C]7.01774507195425e-11[/C][/ROW]
[ROW][C]168[/C][C]0.999999999964685[/C][C]7.06303868319558e-11[/C][C]3.53151934159779e-11[/C][/ROW]
[ROW][C]169[/C][C]0.99999999993533[/C][C]1.2934000546129e-10[/C][C]6.46700027306452e-11[/C][/ROW]
[ROW][C]170[/C][C]0.999999999911035[/C][C]1.77929166757285e-10[/C][C]8.89645833786426e-11[/C][/ROW]
[ROW][C]171[/C][C]0.999999999938513[/C][C]1.22974789604838e-10[/C][C]6.14873948024189e-11[/C][/ROW]
[ROW][C]172[/C][C]0.99999999989979[/C][C]2.00418958647162e-10[/C][C]1.00209479323581e-10[/C][/ROW]
[ROW][C]173[/C][C]0.999999999934082[/C][C]1.31835799702003e-10[/C][C]6.59178998510017e-11[/C][/ROW]
[ROW][C]174[/C][C]0.999999999894612[/C][C]2.1077605861548e-10[/C][C]1.0538802930774e-10[/C][/ROW]
[ROW][C]175[/C][C]0.999999999992208[/C][C]1.55836324806469e-11[/C][C]7.79181624032344e-12[/C][/ROW]
[ROW][C]176[/C][C]0.999999999985461[/C][C]2.90780506212342e-11[/C][C]1.45390253106171e-11[/C][/ROW]
[ROW][C]177[/C][C]0.999999999980398[/C][C]3.92039270593553e-11[/C][C]1.96019635296777e-11[/C][/ROW]
[ROW][C]178[/C][C]0.999999999963346[/C][C]7.33071228537938e-11[/C][C]3.66535614268969e-11[/C][/ROW]
[ROW][C]179[/C][C]0.999999999964068[/C][C]7.186451865034e-11[/C][C]3.593225932517e-11[/C][/ROW]
[ROW][C]180[/C][C]0.999999999942216[/C][C]1.1556727432424e-10[/C][C]5.77836371621198e-11[/C][/ROW]
[ROW][C]181[/C][C]0.999999999897461[/C][C]2.0507829146864e-10[/C][C]1.0253914573432e-10[/C][/ROW]
[ROW][C]182[/C][C]0.999999999833222[/C][C]3.33555644410515e-10[/C][C]1.66777822205258e-10[/C][/ROW]
[ROW][C]183[/C][C]0.999999999697976[/C][C]6.04047232715469e-10[/C][C]3.02023616357735e-10[/C][/ROW]
[ROW][C]184[/C][C]0.999999999481212[/C][C]1.03757595957529e-09[/C][C]5.18787979787644e-10[/C][/ROW]
[ROW][C]185[/C][C]0.999999999560012[/C][C]8.79975314074906e-10[/C][C]4.39987657037453e-10[/C][/ROW]
[ROW][C]186[/C][C]0.999999999220752[/C][C]1.55849694225638e-09[/C][C]7.79248471128189e-10[/C][/ROW]
[ROW][C]187[/C][C]0.999999999300528[/C][C]1.39894433779107e-09[/C][C]6.99472168895536e-10[/C][/ROW]
[ROW][C]188[/C][C]0.999999998752334[/C][C]2.49533148831934e-09[/C][C]1.24766574415967e-09[/C][/ROW]
[ROW][C]189[/C][C]0.999999999654434[/C][C]6.9113267732542e-10[/C][C]3.4556633866271e-10[/C][/ROW]
[ROW][C]190[/C][C]0.999999999443245[/C][C]1.11351020719093e-09[/C][C]5.56755103595465e-10[/C][/ROW]
[ROW][C]191[/C][C]0.999999999010546[/C][C]1.97890851802708e-09[/C][C]9.89454259013538e-10[/C][/ROW]
[ROW][C]192[/C][C]0.999999999157865[/C][C]1.68426938651099e-09[/C][C]8.42134693255493e-10[/C][/ROW]
[ROW][C]193[/C][C]0.999999998554146[/C][C]2.89170781246109e-09[/C][C]1.44585390623055e-09[/C][/ROW]
[ROW][C]194[/C][C]0.999999997830768[/C][C]4.33846406930451e-09[/C][C]2.16923203465226e-09[/C][/ROW]
[ROW][C]195[/C][C]0.999999996861891[/C][C]6.27621714665141e-09[/C][C]3.13810857332571e-09[/C][/ROW]
[ROW][C]196[/C][C]0.99999999453785[/C][C]1.09242994221112e-08[/C][C]5.46214971105558e-09[/C][/ROW]
[ROW][C]197[/C][C]0.999999992749171[/C][C]1.45016579440914e-08[/C][C]7.2508289720457e-09[/C][/ROW]
[ROW][C]198[/C][C]0.999999987865001[/C][C]2.42699973905843e-08[/C][C]1.21349986952921e-08[/C][/ROW]
[ROW][C]199[/C][C]0.999999984696696[/C][C]3.06066084035099e-08[/C][C]1.5303304201755e-08[/C][/ROW]
[ROW][C]200[/C][C]0.999999976071204[/C][C]4.78575914882037e-08[/C][C]2.39287957441019e-08[/C][/ROW]
[ROW][C]201[/C][C]0.999999961639422[/C][C]7.67211556280955e-08[/C][C]3.83605778140478e-08[/C][/ROW]
[ROW][C]202[/C][C]0.999999941376423[/C][C]1.17247154169711e-07[/C][C]5.86235770848555e-08[/C][/ROW]
[ROW][C]203[/C][C]0.999999923357761[/C][C]1.53284477481541e-07[/C][C]7.66422387407704e-08[/C][/ROW]
[ROW][C]204[/C][C]0.999999870883022[/C][C]2.58233955389389e-07[/C][C]1.29116977694694e-07[/C][/ROW]
[ROW][C]205[/C][C]0.999999828881931[/C][C]3.42236137220302e-07[/C][C]1.71118068610151e-07[/C][/ROW]
[ROW][C]206[/C][C]0.999999704898816[/C][C]5.90202367489547e-07[/C][C]2.95101183744773e-07[/C][/ROW]
[ROW][C]207[/C][C]0.999999705665101[/C][C]5.88669797151451e-07[/C][C]2.94334898575726e-07[/C][/ROW]
[ROW][C]208[/C][C]0.999999644442863[/C][C]7.11114273943811e-07[/C][C]3.55557136971905e-07[/C][/ROW]
[ROW][C]209[/C][C]0.999999420028098[/C][C]1.15994380389431e-06[/C][C]5.79971901947153e-07[/C][/ROW]
[ROW][C]210[/C][C]0.99999931586968[/C][C]1.36826063934273e-06[/C][C]6.84130319671367e-07[/C][/ROW]
[ROW][C]211[/C][C]0.999998894197089[/C][C]2.21160582299631e-06[/C][C]1.10580291149815e-06[/C][/ROW]
[ROW][C]212[/C][C]0.999999470073923[/C][C]1.05985215367997e-06[/C][C]5.29926076839983e-07[/C][/ROW]
[ROW][C]213[/C][C]0.999999084356748[/C][C]1.8312865049684e-06[/C][C]9.15643252484199e-07[/C][/ROW]
[ROW][C]214[/C][C]0.999998923205424[/C][C]2.1535891524287e-06[/C][C]1.07679457621435e-06[/C][/ROW]
[ROW][C]215[/C][C]0.999998553960352[/C][C]2.89207929505786e-06[/C][C]1.44603964752893e-06[/C][/ROW]
[ROW][C]216[/C][C]0.99999757544008[/C][C]4.84911984064999e-06[/C][C]2.42455992032499e-06[/C][/ROW]
[ROW][C]217[/C][C]0.999996099380161[/C][C]7.80123967807567e-06[/C][C]3.90061983903784e-06[/C][/ROW]
[ROW][C]218[/C][C]0.999998008071273[/C][C]3.98385745373095e-06[/C][C]1.99192872686547e-06[/C][/ROW]
[ROW][C]219[/C][C]0.999997830864307[/C][C]4.3382713861918e-06[/C][C]2.1691356930959e-06[/C][/ROW]
[ROW][C]220[/C][C]0.999996284143273[/C][C]7.43171345413497e-06[/C][C]3.71585672706748e-06[/C][/ROW]
[ROW][C]221[/C][C]0.999994033250996[/C][C]1.19334980087777e-05[/C][C]5.96674900438885e-06[/C][/ROW]
[ROW][C]222[/C][C]0.999998481185123[/C][C]3.0376297531985e-06[/C][C]1.51881487659925e-06[/C][/ROW]
[ROW][C]223[/C][C]0.99999898284654[/C][C]2.03430692029773e-06[/C][C]1.01715346014886e-06[/C][/ROW]
[ROW][C]224[/C][C]0.999998430434941[/C][C]3.1391301185507e-06[/C][C]1.56956505927535e-06[/C][/ROW]
[ROW][C]225[/C][C]0.999997733146003[/C][C]4.53370799366264e-06[/C][C]2.26685399683132e-06[/C][/ROW]
[ROW][C]226[/C][C]0.99999611727179[/C][C]7.76545642036202e-06[/C][C]3.88272821018101e-06[/C][/ROW]
[ROW][C]227[/C][C]0.99999323418035[/C][C]1.35316393009462e-05[/C][C]6.76581965047311e-06[/C][/ROW]
[ROW][C]228[/C][C]0.999993375205087[/C][C]1.32495898255909e-05[/C][C]6.62479491279543e-06[/C][/ROW]
[ROW][C]229[/C][C]0.999990310465036[/C][C]1.93790699281853e-05[/C][C]9.68953496409267e-06[/C][/ROW]
[ROW][C]230[/C][C]0.999999095805704[/C][C]1.80838859221412e-06[/C][C]9.04194296107059e-07[/C][/ROW]
[ROW][C]231[/C][C]0.999998475191684[/C][C]3.04961663254573e-06[/C][C]1.52480831627286e-06[/C][/ROW]
[ROW][C]232[/C][C]0.999999230855965[/C][C]1.53828807013589e-06[/C][C]7.69144035067945e-07[/C][/ROW]
[ROW][C]233[/C][C]0.999999118095887[/C][C]1.76380822555188e-06[/C][C]8.81904112775938e-07[/C][/ROW]
[ROW][C]234[/C][C]0.999998383390747[/C][C]3.23321850535275e-06[/C][C]1.61660925267638e-06[/C][/ROW]
[ROW][C]235[/C][C]0.999998188527387[/C][C]3.62294522689666e-06[/C][C]1.81147261344833e-06[/C][/ROW]
[ROW][C]236[/C][C]0.999996903907186[/C][C]6.19218562874011e-06[/C][C]3.09609281437006e-06[/C][/ROW]
[ROW][C]237[/C][C]0.999994648925117[/C][C]1.0702149766519e-05[/C][C]5.35107488325948e-06[/C][/ROW]
[ROW][C]238[/C][C]0.999990384199814[/C][C]1.92316003728203e-05[/C][C]9.61580018641014e-06[/C][/ROW]
[ROW][C]239[/C][C]0.999982495034099[/C][C]3.50099318027374e-05[/C][C]1.75049659013687e-05[/C][/ROW]
[ROW][C]240[/C][C]0.999973331696749[/C][C]5.3336606502424e-05[/C][C]2.6668303251212e-05[/C][/ROW]
[ROW][C]241[/C][C]0.999971251860603[/C][C]5.74962787939351e-05[/C][C]2.87481393969676e-05[/C][/ROW]
[ROW][C]242[/C][C]0.999991061900685[/C][C]1.78761986298513e-05[/C][C]8.93809931492564e-06[/C][/ROW]
[ROW][C]243[/C][C]0.999983142459097[/C][C]3.3715081805023e-05[/C][C]1.68575409025115e-05[/C][/ROW]
[ROW][C]244[/C][C]0.999978042071861[/C][C]4.3915856277992e-05[/C][C]2.1957928138996e-05[/C][/ROW]
[ROW][C]245[/C][C]0.999964075097867[/C][C]7.18498042663795e-05[/C][C]3.59249021331897e-05[/C][/ROW]
[ROW][C]246[/C][C]0.999935582519525[/C][C]0.000128834960949374[/C][C]6.44174804746868e-05[/C][/ROW]
[ROW][C]247[/C][C]0.999993235320841[/C][C]1.35293583188993e-05[/C][C]6.76467915944964e-06[/C][/ROW]
[ROW][C]248[/C][C]0.999988943776596[/C][C]2.21124468070578e-05[/C][C]1.10562234035289e-05[/C][/ROW]
[ROW][C]249[/C][C]0.999978508162036[/C][C]4.29836759274252e-05[/C][C]2.14918379637126e-05[/C][/ROW]
[ROW][C]250[/C][C]0.999960403646662[/C][C]7.91927066755749e-05[/C][C]3.95963533377875e-05[/C][/ROW]
[ROW][C]251[/C][C]0.999927557904431[/C][C]0.000144884191138128[/C][C]7.24420955690642e-05[/C][/ROW]
[ROW][C]252[/C][C]0.999864698770533[/C][C]0.00027060245893332[/C][C]0.00013530122946666[/C][/ROW]
[ROW][C]253[/C][C]0.999760796118223[/C][C]0.000478407763553375[/C][C]0.000239203881776687[/C][/ROW]
[ROW][C]254[/C][C]0.999560423495991[/C][C]0.000879153008018955[/C][C]0.000439576504009477[/C][/ROW]
[ROW][C]255[/C][C]0.999270640105366[/C][C]0.00145871978926728[/C][C]0.00072935989463364[/C][/ROW]
[ROW][C]256[/C][C]0.998789883093087[/C][C]0.00242023381382516[/C][C]0.00121011690691258[/C][/ROW]
[ROW][C]257[/C][C]0.997924171682329[/C][C]0.00415165663534174[/C][C]0.00207582831767087[/C][/ROW]
[ROW][C]258[/C][C]0.996807285621325[/C][C]0.00638542875734974[/C][C]0.00319271437867487[/C][/ROW]
[ROW][C]259[/C][C]0.995086757386711[/C][C]0.0098264852265778[/C][C]0.0049132426132889[/C][/ROW]
[ROW][C]260[/C][C]0.991842454919757[/C][C]0.0163150901604869[/C][C]0.00815754508024343[/C][/ROW]
[ROW][C]261[/C][C]0.991381503580353[/C][C]0.0172369928392945[/C][C]0.00861849641964726[/C][/ROW]
[ROW][C]262[/C][C]0.985825069516642[/C][C]0.0283498609667153[/C][C]0.0141749304833576[/C][/ROW]
[ROW][C]263[/C][C]0.979077344964054[/C][C]0.0418453100718926[/C][C]0.0209226550359463[/C][/ROW]
[ROW][C]264[/C][C]0.96835320906148[/C][C]0.0632935818770397[/C][C]0.0316467909385199[/C][/ROW]
[ROW][C]265[/C][C]0.955438546998403[/C][C]0.0891229060031938[/C][C]0.0445614530015969[/C][/ROW]
[ROW][C]266[/C][C]0.937601804799075[/C][C]0.12479639040185[/C][C]0.0623981952009251[/C][/ROW]
[ROW][C]267[/C][C]0.910336305508769[/C][C]0.179327388982462[/C][C]0.089663694491231[/C][/ROW]
[ROW][C]268[/C][C]0.918751954483673[/C][C]0.162496091032655[/C][C]0.0812480455163275[/C][/ROW]
[ROW][C]269[/C][C]0.882659477211714[/C][C]0.234681045576572[/C][C]0.117340522788286[/C][/ROW]
[ROW][C]270[/C][C]0.954373480440374[/C][C]0.0912530391192512[/C][C]0.0456265195596256[/C][/ROW]
[ROW][C]271[/C][C]0.933162262748383[/C][C]0.133675474503234[/C][C]0.0668377372516171[/C][/ROW]
[ROW][C]272[/C][C]0.928442947484026[/C][C]0.143114105031949[/C][C]0.0715570525159745[/C][/ROW]
[ROW][C]273[/C][C]0.908003618328401[/C][C]0.183992763343198[/C][C]0.0919963816715992[/C][/ROW]
[ROW][C]274[/C][C]0.878396882318073[/C][C]0.243206235363853[/C][C]0.121603117681927[/C][/ROW]
[ROW][C]275[/C][C]0.803334329579589[/C][C]0.393331340840823[/C][C]0.196665670420412[/C][/ROW]
[ROW][C]276[/C][C]0.899475585352148[/C][C]0.201048829295704[/C][C]0.100524414647852[/C][/ROW]
[ROW][C]277[/C][C]0.815151738959944[/C][C]0.369696522080113[/C][C]0.184848261040056[/C][/ROW]
[ROW][C]278[/C][C]0.924484709197058[/C][C]0.151030581605885[/C][C]0.0755152908029424[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154849&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154849&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
110.1013982419680460.2027964839360930.898601758031954
120.1386697935019280.2773395870038560.861330206498072
130.2170079866890510.4340159733781020.782992013310949
140.1346009260907450.2692018521814890.865399073909255
150.07616359189892320.1523271837978460.923836408101077
160.04651771512625890.09303543025251780.953482284873741
170.8170778297747750.3658443404504510.182922170225225
180.7669389684323940.4661220631352110.233061031567606
190.7886088736093050.422782252781390.211391126390695
200.7430912699208570.5138174601582870.256908730079143
210.7650551887927870.4698896224144270.234944811207213
220.7208497323283170.5583005353433660.279150267671683
230.6715437516899290.6569124966201430.328456248310071
240.6492202155518260.7015595688963480.350779784448174
250.5833810686159790.8332378627680420.416618931384021
260.5187843652272940.9624312695454120.481215634772706
270.4620326525488040.9240653050976080.537967347451196
280.3995519509762290.7991039019524570.600448049023771
290.3399309149674440.6798618299348870.660069085032556
300.2836018725226230.5672037450452470.716398127477377
310.2361242411072550.472248482214510.763875758892745
320.2030566849517540.4061133699035080.796943315048246
330.1658306208918040.3316612417836080.834169379108196
340.1804914624187090.3609829248374180.819508537581291
350.1440873585268930.2881747170537860.855912641473107
360.1176159216986680.2352318433973360.882384078301332
370.1075327867184690.2150655734369390.892467213281531
380.08570885691016370.1714177138203270.914291143089836
390.1319677515564330.2639355031128650.868032248443567
400.1055044795888320.2110089591776640.894495520411168
410.08334484123325150.1666896824665030.916655158766749
420.07487349694639490.149746993892790.925126503053605
430.1342226918274020.2684453836548030.865777308172598
440.1099655244626280.2199310489252560.890034475537372
450.1002150075665350.2004300151330710.899784992433465
460.1054985594861570.2109971189723150.894501440513843
470.2256704242378470.4513408484756940.774329575762153
480.2138063360876650.4276126721753290.786193663912335
490.2244682534008390.4489365068016780.775531746599161
500.1918432459892720.3836864919785430.808156754010728
510.2805261577551560.5610523155103120.719473842244844
520.2486340517414230.4972681034828450.751365948258577
530.251388002196880.5027760043937590.74861199780312
540.6363467075803020.7273065848393970.363653292419698
550.6137377720204790.7725244559590430.386262227979521
560.574276364940540.8514472701189210.42572363505946
570.5391506665263770.9216986669472450.460849333473623
580.8071652861044290.3856694277911410.192834713895571
590.7793799853427430.4412400293145140.220620014657257
600.7626625863602980.4746748272794040.237337413639702
610.7888443898021490.4223112203957020.211155610197851
620.9020670467294110.1958659065411790.0979329532705894
630.9999999999405281.1894322952994e-105.94716147649702e-11
640.9999999998890472.2190621373246e-101.1095310686623e-10
650.9999999998711322.57736530637455e-101.28868265318728e-10
660.999999999971985.60402364510606e-112.80201182255303e-11
670.9999999999606597.86817058670201e-113.934085293351e-11
680.9999999999902951.94107820057536e-119.70539100287678e-12
690.9999999999849393.01222365083938e-111.50611182541969e-11
700.9999999999773024.53957535666389e-112.26978767833195e-11
710.999999999965976.80600840493541e-113.4030042024677e-11
720.9999999999694816.1037789251154e-113.0518894625577e-11
730.9999999999656246.87527350947221e-113.43763675473611e-11
740.9999999999381521.23696856953847e-106.18484284769233e-11
750.9999999999236881.52623762239363e-107.63118811196813e-11
760.9999999998871712.25656974217406e-101.12828487108703e-10
770.9999999999078491.84302623781125e-109.21513118905625e-11
780.9999999999043141.91372034346004e-109.56860171730019e-11
790.999999999893442.13119879181891e-101.06559939590946e-10
800.9999999998604012.79198567789672e-101.39599283894836e-10
810.9999999999388831.22233405524459e-106.11167027622297e-11
820.9999999998898272.20345252252362e-101.10172626126181e-10
830.9999999999883132.33736073074287e-111.16868036537143e-11
840.9999999999879182.41646129578582e-111.20823064789291e-11
850.9999999999786944.261100017876e-112.130550008938e-11
860.9999999999659236.81535499526044e-113.40767749763022e-11
870.9999999999448631.10273344704558e-105.51366723522788e-11
880.9999999999162271.6754618177623e-108.3773090888115e-11
890.9999999999748945.02113320513265e-112.51056660256632e-11
900.9999999999957158.57072709756668e-124.28536354878334e-12
910.9999999999942061.15887127116113e-115.79435635580565e-12
920.9999999999969336.13306296880876e-123.06653148440438e-12
930.9999999999978124.37570617120597e-122.18785308560298e-12
940.9999999999960797.84161574084217e-123.92080787042108e-12
950.999999999994181.16400080064151e-115.82000400320754e-12
960.9999999999982913.41744540286283e-121.70872270143142e-12
970.9999999999968356.32952738379558e-123.16476369189779e-12
980.999999999996636.74079150066346e-123.37039575033173e-12
990.9999999999955098.98156832833696e-124.49078416416848e-12
1000.9999999999919421.61159466766489e-118.05797333832444e-12
1010.9999999999887082.25834335754028e-111.12917167877014e-11
1020.9999999999882172.35655426465644e-111.17827713232822e-11
1030.999999999988552.28992625503284e-111.14496312751642e-11
1040.9999999999798224.03561745080984e-112.01780872540492e-11
1050.9999999999650576.98869672136982e-113.49434836068491e-11
1060.9999999999585878.28257149236826e-114.14128574618413e-11
1070.9999999999719125.61759528409367e-112.80879764204684e-11
1080.9999999999899692.0061463145509e-111.00307315727545e-11
1090.9999999999854582.9084600909386e-111.4542300454693e-11
1100.9999999999738725.22561783203897e-112.61280891601949e-11
1110.999999999955898.82202996371557e-114.41101498185779e-11
1120.9999999999687576.24856519984259e-113.1242825999213e-11
1130.9999999999509829.80361105189738e-114.90180552594869e-11
1140.9999999999219691.56062013505381e-107.80310067526904e-11
1150.9999999999395521.20895359838697e-106.04476799193486e-11
1160.9999999999647747.04517112729985e-113.52258556364993e-11
1170.9999999999461261.07748226173672e-105.38741130868359e-11
1180.9999999999548619.02779663681875e-114.51389831840938e-11
1190.9999999999202641.59472182271818e-107.97360911359089e-11
1200.9999999998802252.3954940696918e-101.1977470348459e-10
1210.9999999998723332.55334552086142e-101.27667276043071e-10
1220.9999999998005443.98912087863123e-101.99456043931562e-10
1230.9999999997035825.92835418552149e-102.96417709276075e-10
1240.9999999995306359.38729122220138e-104.69364561110069e-10
1250.9999999992058371.58832630854032e-097.9416315427016e-10
1260.999999998722392.55522015197791e-091.27761007598895e-09
1270.9999999979276314.14473898859307e-092.07236949429654e-09
1280.9999999987426982.51460312494604e-091.25730156247302e-09
1290.9999999984468953.10621020364899e-091.5531051018245e-09
1300.9999999974667545.06649131716208e-092.53324565858104e-09
1310.999999995971498.05702035318546e-094.02851017659273e-09
1320.9999999934901131.30197745575969e-086.50988727879847e-09
1330.9999999921648211.56703579121139e-087.83517895605693e-09
1340.9999999977810414.43791732577893e-092.21895866288946e-09
1350.9999999969190196.16196249844525e-093.08098124922262e-09
1360.9999999965803346.83933174423845e-093.41966587211923e-09
1370.9999999944097131.11805738946164e-085.5902869473082e-09
1380.9999999923408931.53182139796812e-087.65910698984058e-09
1390.9999999879378882.41242239815951e-081.20621119907976e-08
1400.9999999866058672.67882662555929e-081.33941331277965e-08
1410.9999999781376394.37247225675107e-082.18623612837554e-08
1420.9999999873291172.53417662421317e-081.26708831210659e-08
1430.9999999812491023.75017962419274e-081.87508981209637e-08
1440.9999999718273295.63453417830775e-082.81726708915388e-08
1450.9999999565565618.68868770412878e-084.34434385206439e-08
1460.999999970417295.91654206835766e-082.95827103417883e-08
1470.9999999632018337.35963333749715e-083.67981666874858e-08
1480.9999999409611921.18077615985671e-075.90388079928356e-08
1490.9999999743155835.13688346631317e-082.56844173315659e-08
1500.9999999587020428.25959164738766e-084.12979582369383e-08
1510.9999999378682651.24263470637672e-076.2131735318836e-08
1520.999999915425931.69148139234747e-078.45740696173734e-08
1530.9999999074988771.85002246082836e-079.2501123041418e-08
1540.9999999873542672.52914660459235e-081.26457330229618e-08
1550.9999999884359642.3128071142865e-081.15640355714325e-08
1560.9999999843890143.12219715420012e-081.56109857710006e-08
1570.9999999857809192.84381618331191e-081.42190809165596e-08
1580.9999999871010452.57979101494794e-081.28989550747397e-08
1590.9999999791695084.16609835024941e-082.0830491751247e-08
1600.9999999997527944.94412844248907e-102.47206422124453e-10
1610.999999999775234.49540218351921e-102.24770109175961e-10
1620.9999999998068073.8638687585739e-101.93193437928695e-10
1630.999999999799634.00740457898552e-102.00370228949276e-10
1640.9999999999541259.17496504718311e-114.58748252359156e-11
1650.9999999999461221.07755440234208e-105.38777201171038e-11
1660.9999999999063321.87335592117676e-109.3667796058838e-11
1670.9999999999298231.40354901439085e-107.01774507195425e-11
1680.9999999999646857.06303868319558e-113.53151934159779e-11
1690.999999999935331.2934000546129e-106.46700027306452e-11
1700.9999999999110351.77929166757285e-108.89645833786426e-11
1710.9999999999385131.22974789604838e-106.14873948024189e-11
1720.999999999899792.00418958647162e-101.00209479323581e-10
1730.9999999999340821.31835799702003e-106.59178998510017e-11
1740.9999999998946122.1077605861548e-101.0538802930774e-10
1750.9999999999922081.55836324806469e-117.79181624032344e-12
1760.9999999999854612.90780506212342e-111.45390253106171e-11
1770.9999999999803983.92039270593553e-111.96019635296777e-11
1780.9999999999633467.33071228537938e-113.66535614268969e-11
1790.9999999999640687.186451865034e-113.593225932517e-11
1800.9999999999422161.1556727432424e-105.77836371621198e-11
1810.9999999998974612.0507829146864e-101.0253914573432e-10
1820.9999999998332223.33555644410515e-101.66777822205258e-10
1830.9999999996979766.04047232715469e-103.02023616357735e-10
1840.9999999994812121.03757595957529e-095.18787979787644e-10
1850.9999999995600128.79975314074906e-104.39987657037453e-10
1860.9999999992207521.55849694225638e-097.79248471128189e-10
1870.9999999993005281.39894433779107e-096.99472168895536e-10
1880.9999999987523342.49533148831934e-091.24766574415967e-09
1890.9999999996544346.9113267732542e-103.4556633866271e-10
1900.9999999994432451.11351020719093e-095.56755103595465e-10
1910.9999999990105461.97890851802708e-099.89454259013538e-10
1920.9999999991578651.68426938651099e-098.42134693255493e-10
1930.9999999985541462.89170781246109e-091.44585390623055e-09
1940.9999999978307684.33846406930451e-092.16923203465226e-09
1950.9999999968618916.27621714665141e-093.13810857332571e-09
1960.999999994537851.09242994221112e-085.46214971105558e-09
1970.9999999927491711.45016579440914e-087.2508289720457e-09
1980.9999999878650012.42699973905843e-081.21349986952921e-08
1990.9999999846966963.06066084035099e-081.5303304201755e-08
2000.9999999760712044.78575914882037e-082.39287957441019e-08
2010.9999999616394227.67211556280955e-083.83605778140478e-08
2020.9999999413764231.17247154169711e-075.86235770848555e-08
2030.9999999233577611.53284477481541e-077.66422387407704e-08
2040.9999998708830222.58233955389389e-071.29116977694694e-07
2050.9999998288819313.42236137220302e-071.71118068610151e-07
2060.9999997048988165.90202367489547e-072.95101183744773e-07
2070.9999997056651015.88669797151451e-072.94334898575726e-07
2080.9999996444428637.11114273943811e-073.55557136971905e-07
2090.9999994200280981.15994380389431e-065.79971901947153e-07
2100.999999315869681.36826063934273e-066.84130319671367e-07
2110.9999988941970892.21160582299631e-061.10580291149815e-06
2120.9999994700739231.05985215367997e-065.29926076839983e-07
2130.9999990843567481.8312865049684e-069.15643252484199e-07
2140.9999989232054242.1535891524287e-061.07679457621435e-06
2150.9999985539603522.89207929505786e-061.44603964752893e-06
2160.999997575440084.84911984064999e-062.42455992032499e-06
2170.9999960993801617.80123967807567e-063.90061983903784e-06
2180.9999980080712733.98385745373095e-061.99192872686547e-06
2190.9999978308643074.3382713861918e-062.1691356930959e-06
2200.9999962841432737.43171345413497e-063.71585672706748e-06
2210.9999940332509961.19334980087777e-055.96674900438885e-06
2220.9999984811851233.0376297531985e-061.51881487659925e-06
2230.999998982846542.03430692029773e-061.01715346014886e-06
2240.9999984304349413.1391301185507e-061.56956505927535e-06
2250.9999977331460034.53370799366264e-062.26685399683132e-06
2260.999996117271797.76545642036202e-063.88272821018101e-06
2270.999993234180351.35316393009462e-056.76581965047311e-06
2280.9999933752050871.32495898255909e-056.62479491279543e-06
2290.9999903104650361.93790699281853e-059.68953496409267e-06
2300.9999990958057041.80838859221412e-069.04194296107059e-07
2310.9999984751916843.04961663254573e-061.52480831627286e-06
2320.9999992308559651.53828807013589e-067.69144035067945e-07
2330.9999991180958871.76380822555188e-068.81904112775938e-07
2340.9999983833907473.23321850535275e-061.61660925267638e-06
2350.9999981885273873.62294522689666e-061.81147261344833e-06
2360.9999969039071866.19218562874011e-063.09609281437006e-06
2370.9999946489251171.0702149766519e-055.35107488325948e-06
2380.9999903841998141.92316003728203e-059.61580018641014e-06
2390.9999824950340993.50099318027374e-051.75049659013687e-05
2400.9999733316967495.3336606502424e-052.6668303251212e-05
2410.9999712518606035.74962787939351e-052.87481393969676e-05
2420.9999910619006851.78761986298513e-058.93809931492564e-06
2430.9999831424590973.3715081805023e-051.68575409025115e-05
2440.9999780420718614.3915856277992e-052.1957928138996e-05
2450.9999640750978677.18498042663795e-053.59249021331897e-05
2460.9999355825195250.0001288349609493746.44174804746868e-05
2470.9999932353208411.35293583188993e-056.76467915944964e-06
2480.9999889437765962.21124468070578e-051.10562234035289e-05
2490.9999785081620364.29836759274252e-052.14918379637126e-05
2500.9999604036466627.91927066755749e-053.95963533377875e-05
2510.9999275579044310.0001448841911381287.24420955690642e-05
2520.9998646987705330.000270602458933320.00013530122946666
2530.9997607961182230.0004784077635533750.000239203881776687
2540.9995604234959910.0008791530080189550.000439576504009477
2550.9992706401053660.001458719789267280.00072935989463364
2560.9987898830930870.002420233813825160.00121011690691258
2570.9979241716823290.004151656635341740.00207582831767087
2580.9968072856213250.006385428757349740.00319271437867487
2590.9950867573867110.00982648522657780.0049132426132889
2600.9918424549197570.01631509016048690.00815754508024343
2610.9913815035803530.01723699283929450.00861849641964726
2620.9858250695166420.02834986096671530.0141749304833576
2630.9790773449640540.04184531007189260.0209226550359463
2640.968353209061480.06329358187703970.0316467909385199
2650.9554385469984030.08912290600319380.0445614530015969
2660.9376018047990750.124796390401850.0623981952009251
2670.9103363055087690.1793273889824620.089663694491231
2680.9187519544836730.1624960910326550.0812480455163275
2690.8826594772117140.2346810455765720.117340522788286
2700.9543734804403740.09125303911925120.0456265195596256
2710.9331622627483830.1336754745032340.0668377372516171
2720.9284429474840260.1431141050319490.0715570525159745
2730.9080036183284010.1839927633431980.0919963816715992
2740.8783968823180730.2432062353638530.121603117681927
2750.8033343295795890.3933313408408230.196665670420412
2760.8994755853521480.2010488292957040.100524414647852
2770.8151517389599440.3696965220801130.184848261040056
2780.9244847091970580.1510305816058850.0755152908029424






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1970.735074626865672NOK
5% type I error level2010.75NOK
10% type I error level2050.764925373134328NOK

\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 & 197 & 0.735074626865672 & NOK \tabularnewline
5% type I error level & 201 & 0.75 & NOK \tabularnewline
10% type I error level & 205 & 0.764925373134328 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154849&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]197[/C][C]0.735074626865672[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]201[/C][C]0.75[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]205[/C][C]0.764925373134328[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154849&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154849&T=6

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1970.735074626865672NOK
5% type I error level2010.75NOK
10% type I error level2050.764925373134328NOK


Figures (Output of Computation)

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Figure 10
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Input Parameters & R Code

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