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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 06:20:58 -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/t13238618136khlwfbgz16owju.htm/, Retrieved Wed, 01 May 2024 22:31:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=154862, Retrieved Wed, 01 May 2024 22:31:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact87

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 11:20:58] [1e640daebbc6b5a89eef23229b5a56d5] [Current]
-   P     [Multiple Regression] [] [2011-12-14 16:19:19] [a2638725f7f7c6bd63902ba17eba666b]
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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 time10 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 & 10 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=154862&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]10 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'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=154862&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154862&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time10 seconds
R Server'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
blogged_computations[t] = -10.6339045263867 + 0.0230934853764542pageviews[t] + 0.000185846535369001time_in_rfc[t] -0.128707569236972logins[t] -0.00958630889416367compendium_views_info[t] -0.134327999939109compendium_views_pr[t] -1.21814328038904shared_compendiums[t] + 1.18192273860584`compendiums_reviewed `[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
blogged_computations[t] =  -10.6339045263867 +  0.0230934853764542pageviews[t] +  0.000185846535369001time_in_rfc[t] -0.128707569236972logins[t] -0.00958630889416367compendium_views_info[t] -0.134327999939109compendium_views_pr[t] -1.21814328038904shared_compendiums[t] +  1.18192273860584`compendiums_reviewed
`[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154862&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]blogged_computations[t] =  -10.6339045263867 +  0.0230934853764542pageviews[t] +  0.000185846535369001time_in_rfc[t] -0.128707569236972logins[t] -0.00958630889416367compendium_views_info[t] -0.134327999939109compendium_views_pr[t] -1.21814328038904shared_compendiums[t] +  1.18192273860584`compendiums_reviewed
`[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154862&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154862&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
blogged_computations[t] = -10.6339045263867 + 0.0230934853764542pageviews[t] + 0.000185846535369001time_in_rfc[t] -0.128707569236972logins[t] -0.00958630889416367compendium_views_info[t] -0.134327999939109compendium_views_pr[t] -1.21814328038904shared_compendiums[t] + 1.18192273860584`compendiums_reviewed `[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-10.63390452638672.822956-3.76690.0002010.000101
pageviews0.02309348537645420.0065723.5140.0005140.000257
time_in_rfc0.0001858465353690013.6e-055.11021e-060
logins-0.1287075692369720.050597-2.54380.0115020.005751
compendium_views_info-0.009586308894163670.014987-0.63960.5229380.261469
compendium_views_pr-0.1343279999391090.025916-5.183200
shared_compendiums-1.218143280389040.428102-2.84550.0047610.002381
`compendiums_reviewed `1.181922738605840.1627327.26300

\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) & -10.6339045263867 & 2.822956 & -3.7669 & 0.000201 & 0.000101 \tabularnewline
pageviews & 0.0230934853764542 & 0.006572 & 3.514 & 0.000514 & 0.000257 \tabularnewline
time_in_rfc & 0.000185846535369001 & 3.6e-05 & 5.1102 & 1e-06 & 0 \tabularnewline
logins & -0.128707569236972 & 0.050597 & -2.5438 & 0.011502 & 0.005751 \tabularnewline
compendium_views_info & -0.00958630889416367 & 0.014987 & -0.6396 & 0.522938 & 0.261469 \tabularnewline
compendium_views_pr & -0.134327999939109 & 0.025916 & -5.1832 & 0 & 0 \tabularnewline
shared_compendiums & -1.21814328038904 & 0.428102 & -2.8455 & 0.004761 & 0.002381 \tabularnewline
`compendiums_reviewed
` & 1.18192273860584 & 0.162732 & 7.263 & 0 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154862&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]-10.6339045263867[/C][C]2.822956[/C][C]-3.7669[/C][C]0.000201[/C][C]0.000101[/C][/ROW]
[ROW][C]pageviews[/C][C]0.0230934853764542[/C][C]0.006572[/C][C]3.514[/C][C]0.000514[/C][C]0.000257[/C][/ROW]
[ROW][C]time_in_rfc[/C][C]0.000185846535369001[/C][C]3.6e-05[/C][C]5.1102[/C][C]1e-06[/C][C]0[/C][/ROW]
[ROW][C]logins[/C][C]-0.128707569236972[/C][C]0.050597[/C][C]-2.5438[/C][C]0.011502[/C][C]0.005751[/C][/ROW]
[ROW][C]compendium_views_info[/C][C]-0.00958630889416367[/C][C]0.014987[/C][C]-0.6396[/C][C]0.522938[/C][C]0.261469[/C][/ROW]
[ROW][C]compendium_views_pr[/C][C]-0.134327999939109[/C][C]0.025916[/C][C]-5.1832[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]shared_compendiums[/C][C]-1.21814328038904[/C][C]0.428102[/C][C]-2.8455[/C][C]0.004761[/C][C]0.002381[/C][/ROW]
[ROW][C]`compendiums_reviewed
`[/C][C]1.18192273860584[/C][C]0.162732[/C][C]7.263[/C][C]0[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154862&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154862&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)-10.63390452638672.822956-3.76690.0002010.000101
pageviews0.02309348537645420.0065723.5140.0005140.000257
time_in_rfc0.0001858465353690013.6e-055.11021e-060
logins-0.1287075692369720.050597-2.54380.0115020.005751
compendium_views_info-0.009586308894163670.014987-0.63960.5229380.261469
compendium_views_pr-0.1343279999391090.025916-5.183200
shared_compendiums-1.218143280389040.428102-2.84550.0047610.002381
`compendiums_reviewed `1.181922738605840.1627327.26300






Multiple Linear Regression - Regression Statistics
Multiple R0.875040465384068
R-squared0.765695816059567
Adjusted R-squared0.759859057029022
F-TEST (value)131.185099822105
F-TEST (DF numerator)7
F-TEST (DF denominator)281
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation18.0823638531757
Sum Squared Residuals91879.0989877368

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.875040465384068 \tabularnewline
R-squared & 0.765695816059567 \tabularnewline
Adjusted R-squared & 0.759859057029022 \tabularnewline
F-TEST (value) & 131.185099822105 \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 & 18.0823638531757 \tabularnewline
Sum Squared Residuals & 91879.0989877368 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154862&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.875040465384068[/C][/ROW]
[ROW][C]R-squared[/C][C]0.765695816059567[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.759859057029022[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]131.185099822105[/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]18.0823638531757[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]91879.0989877368[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154862&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154862&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 R0.875040465384068
R-squared0.765695816059567
Adjusted R-squared0.759859057029022
F-TEST (value)131.185099822105
F-TEST (DF numerator)7
F-TEST (DF denominator)281
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation18.0823638531757
Sum Squared Residuals91879.0989877368






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
17971.22787509507627.7721249049238
25842.696885751683715.3031142483163
36068.7725176592637-8.77251765926373
410868.356793522438139.6432064775619
54944.74126205770094.25873794229912
6027.3779345195329-27.3779345195329
7121129.208993937093-8.20899393709255
8116.1008415083225-15.1008415083225
92025.2990897982875-5.2990897982875
104357.4474283580062-14.4474283580062
116966.09060565986962.90939434013037
127892.0705418021102-14.0705418021102
138677.21451851105738.78548148894265
144453.6492807168441-9.64928071684414
15104103.577476325370.422523674630397
166368.393464300012-5.39346430001196
17158150.5056782077197.49432179228135
1810283.808123547259718.1918764527403
197782.371165008621-5.37116500862104
208252.386121736578429.6138782634216
2111585.366127905174629.6338720948255
2210191.43840150569889.56159849430119
2380108.930742000735-28.9307420007347
245054.020717396828-4.02071739682799
258365.613488505286817.3865114947132
2612380.867683600464142.1323163995359
277378.9897825959395-5.98978259593955
288182.301372650074-1.30137265007404
2910586.459422278039818.5405777219603
304754.7764964357764-7.77649643577643
3110583.898392964480921.1016070355191
329485.85181040929168.14818959070842
334479.327748427437-35.327748427437
34114105.2775574934978.72244250650268
353843.4037390823007-5.4037390823007
36107109.930712508712-2.93071250871162
373030.4830879683564-0.483087968356428
387189.0343366167028-18.0343366167028
3984123.48876892536-39.4887689253597
400-7.998279808117327.99827980811732
415964.4975702265081-5.4975702265081
423333.7941301322403-0.794130132240333
434236.87874213720645.12125786279361
449699.8528725017711-3.85287250177111
45106101.2412521421214.75874785787911
465660.6254631133728-4.62546311337277
475771.2110819720989-14.2110819720989
485954.21282439372874.78717560627128
493950.6300857445842-11.6300857445842
503477.4898670095941-43.4898670095941
517666.89996690030269.10003309969744
522037.2784308396932-17.2784308396932
539189.08628472779191.91371527220812
54115118.282680881792-3.28268088179203
558572.257420607582312.7425793924177
567669.914724727176.08527527283004
5782.178054172866185.82194582713382
587988.7422013274312-9.74220132743125
592126.3635303914043-5.36353039140431
603025.8662190163374.13378098366302
617688.8064549168733-12.8064549168733
62101107.028326857973-6.02832685797289
6394125.402148921688-31.4021489216882
642733.9585307300981-6.95853073009811
659274.884041794459117.1159582055409
6612395.272874862351727.7271251376483
677563.320927790123111.6790722098769
68128123.3360872144154.66391278558524
6910569.773910087726435.2260899122736
705576.1246002970783-21.1246002970783
715680.1402296350628-24.1402296350628
724167.1722306530934-26.1722306530934
737265.89398087940456.10601912059552
746753.010216986926513.9897830130735
757576.7705491165989-1.77054911659885
7611473.639469467843240.3605305321568
7711844.022784464041773.9772155359583
787780.6452971710169-3.64529717101691
792230.4877643038815-8.48776430388146
806684.815325386568-18.815325386568
816961.48184827638477.51815172361531
8210571.007153644430833.9928463555692
8311691.843380048219224.1566199517808
848885.06608298217732.93391701782268
857370.25158315033442.74841684966564
869964.452038681382934.5479613186171
876269.0345235304451-7.0345235304451
885354.7543296885008-1.75432968850076
89118131.851089796996-13.8510897969957
903051.5228972827635-21.5228972827635
9110081.383937991229518.6160620087705
924922.386570021915726.6134299780843
932444.3771463166526-20.3771463166526
946749.716891358396217.2831086416038
954643.08128729562992.91871270437015
965780.0341820886211-23.0341820886211
9775105.849389018945-30.8493890189445
9813589.435713218909345.5642867810907
996886.1143604119782-18.1143604119782
10012475.842586810489848.1574131895102
1013349.8994919859707-16.8994919859707
1029896.14779533037221.85220466962784
1035878.8772502917279-20.877250291728
1046865.83634496659812.16365503340189
1058167.224671999978413.7753280000216
10613187.78910975964843.210890240352
107110115.81053259439-5.81053259439047
1083742.6025607660435-5.60256076604345
10913099.102099039279630.8979009607204
1109390.99042147418492.0095785258151
11111891.846850439230626.1531495607694
1123955.2679906739531-16.2679906739531
1131319.2675914886611-6.26759148866111
1147454.602598658278219.3974013417218
1158165.987163335314815.0128366646852
11610984.869486567216824.1305134327832
11715197.009344873696253.9906551263038
1185169.3566318718336-18.3566318718336
1192841.8684993795748-13.8684993795748
1204031.59337567832078.40662432167926
1215651.96023825830054.0397617416995
1222721.8113787597615.188621240239
1233731.67977121019895.32022878980112
1248350.962022136546232.0379778634538
1255478.0123258370514-24.0123258370514
1262719.83642005493017.16357994506991
1272826.31908419191451.68091580808552
1285944.967087418177714.0329125818223
129133105.50616006607827.4938399339216
13012-0.13180043881599912.131800438816
13106.8699175222501-6.8699175222501
13210672.647379542466633.3526204575334
1332312.813668327480910.1863316725191
1344453.5371840704902-9.53718407049018
1357166.29833543831114.7016645616889
136116111.548143690564.45185630944025
1374-1.51149093625765.5114909362576
1386271.6823081701122-9.68230817011224
1391213.1383476925786-1.13834769257857
140187.7107137855741710.2892862144258
1411418.7645716347808-4.76457163478078
1426052.06908283533247.93091716466764
143729.9349774212778-22.9349774212778
1449892.93667716018755.06332283981249
1456479.9804850455192-15.9804850455192
1462936.7179939829091-7.71799398290915
1473252.4757148947735-20.4757148947735
1482545.2292257344341-20.2292257344341
149165.0335819731971410.9664180268029
1504867.8619482878617-19.8619482878617
151100111.115480104242-11.1154801042422
1524680.4961240018595-34.4961240018595
1534541.24752923891373.75247076108633
154129123.384081512135.61591848787021
15513094.421767825068235.5782321749318
156136136.817179392746-0.817179392745748
1575965.571749940832-6.57174994083205
1582522.65566827159862.34433172840143
1593247.0371844147-15.0371844147
1606358.34200805418584.65799194581419
16195131.139881539805-36.1398815398047
1621434.0243486462071-20.0243486462071
1633634.14456169205031.8554383079497
164113123.938684624463-10.938684624463
1654758.3900848752837-11.3900848752837
1669281.768481954543210.2315180454568
1677062.06670167513157.93329832486853
1681951.5851811544941-32.5851811544941
1695039.931210674273810.0687893257262
1704177.1321020382181-36.1321020382181
17191109.802399639082-18.8023996390819
17211178.333295034220132.6667049657799
1734169.7845465743887-28.7845465743887
17412099.407399771134520.5926002288655
17513558.376439952663276.6235600473368
1762746.8779850924211-19.8779850924211
1778789.2095915494025-2.20959154940253
1782535.1907921410376-10.1907921410376
17913196.276909206712434.7230907932876
1804536.36543594277718.63456405722285
1812916.447380308371212.5526196916288
1825836.165445771502321.8345542284976
1834-5.225751090334389.22575109033438
1844773.2681862139817-26.2681862139817
185109105.1168190656653.8831809343353
1867-7.1618037307736114.1618037307736
187128.89631918749783.1036808125022
1880-4.64272835328044.6427283532804
1893752.6790595243986-15.6790595243986
1903748.9526052053522-11.9526052053522
1914658.8809608925606-12.8809608925606
1921536.6894896538219-21.6894896538219
1934219.307484273677122.6925157263229
194711.8394135242874-4.83941352428741
1955455.8471468186715-1.84714681867147
1965435.612322593991618.3876774060084
1971433.0229447708613-19.0229447708613
1981620.9911656639013-4.99116566390131
1993340.8074012564137-7.80740125641371
2003225.70297765277436.29702234722568
2012124.6763611766027-3.67636117660267
2021528.0700344150782-13.0700344150782
2033839.192950459215-1.19295045921496
2042233.305077799374-11.305077799374
2052833.4273203373725-5.42732033737254
2061025.4059933440401-15.4059933440401
2073132.4044624593288-1.40446245932881
2083255.6126477338753-23.6126477338753
2093246.2350070853841-14.2350070853841
2104351.0764981452648-8.07649814526477
2112722.07363440289494.92636559710506
2123746.7720209063813-9.7720209063813
2132023.8403408474624-3.84034084746239
2143228.64420349824953.35579650175051
215031.176326178335-31.176326178335
216527.3457002599803-22.3457002599803
2172623.54800882711792.45199117288206
218107.496480088885282.50351991111472
2192722.62156676264024.37843323735978
2201128.8284044450359-17.8284044450359
2212939.488327030508-10.488327030508
2222544.8793770237806-19.8793770237806
2235541.771844838506113.2281551614939
2242329.4390299552823-6.43902995528235
225514.7742067184316-9.77420671843161
2264334.86103004895868.13896995104142
2272313.73523967049819.26476032950188
2283425.63055313235088.36944686764921
2293624.040421427808211.9595785721918
2303547.6216263002792-12.6216263002792
231017.610744779216-17.610744779216
2323731.38052663491675.61947336508329
2332837.7510863464075-9.7510863464075
2341621.644428563166-5.644428563166
2352628.8580294467112-2.8580294467112
2363824.116438658376513.8835613416235
2372353.8295194388134-30.8295194388134
2382223.9349285481885-1.93492854818846
2393028.26695248963781.7330475103622
2401618.6228744383945-2.62287443839448
2411833.3622465993383-15.3622465993383
2422846.6371526057507-18.6371526057507
2433219.583950619048212.4160493809518
2442117.84609331229973.15390668770034
2452324.3686387709749-1.36863877097485
2462935.4665444379709-6.46654443797092
2475040.53040229954949.46959770045063
2481226.1443734522047-14.1443734522047
2492121.2548302471956-0.254830247195628
250188.908242519002939.09175748099707
2512748.5855646274002-21.5855646274002
2524137.2016860520923.79831394790799
25313-4.8022693779554817.8022693779555
2541231.6074760363053-19.6074760363053
2552136.0984672626249-15.0984672626249
25684.375315379913453.62468462008655
2572612.78883287525713.211167124743
2582728.4664310852771-1.46643108527709
2591320.2264556098263-7.22645560982633
2601610.36134990114525.63865009885483
261214.8522452349577-12.8522452349577
2624224.880645419780917.1193545802191
26359.93541483109755-4.93541483109755
2643724.644084482499312.3559155175007
2651718.8452019445542-1.84520194455418
2663830.64582674673587.35417325326419
2673727.38909682076849.61090317923159
2682914.577224757010414.4227752429896
2693234.1768329943731-2.17683299437311
2703532.64521123875342.35478876124657
2711737.94340894254-20.94340894254
2722025.0154471667282-5.01544716672819
27372.875037926706744.12496207329326
2744633.692994899221612.3070051007784
2752419.70064929151344.29935070848657
2764029.131467398654510.8685326013455
277315.7789795067643-12.7789795067643
27810-4.0491840689906614.0491840689907
2793732.53259354074294.46740645925712
2801730.8959916646873-13.8959916646873
2812832.3750169807377-4.37501698073765
2821930.1553973383782-11.1553973383782
2832930.0401129152814-1.04011291528141
28484.168187148593793.8318128514062
2851024.4393545847033-14.4393545847033
2861535.4739262270503-20.4739262270503
2871522.1071433921718-7.10714339217176
2882823.87533734570124.12466265429882
2891731.536580068029-14.536580068029

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 79 & 71.2278750950762 & 7.7721249049238 \tabularnewline
2 & 58 & 42.6968857516837 & 15.3031142483163 \tabularnewline
3 & 60 & 68.7725176592637 & -8.77251765926373 \tabularnewline
4 & 108 & 68.3567935224381 & 39.6432064775619 \tabularnewline
5 & 49 & 44.7412620577009 & 4.25873794229912 \tabularnewline
6 & 0 & 27.3779345195329 & -27.3779345195329 \tabularnewline
7 & 121 & 129.208993937093 & -8.20899393709255 \tabularnewline
8 & 1 & 16.1008415083225 & -15.1008415083225 \tabularnewline
9 & 20 & 25.2990897982875 & -5.2990897982875 \tabularnewline
10 & 43 & 57.4474283580062 & -14.4474283580062 \tabularnewline
11 & 69 & 66.0906056598696 & 2.90939434013037 \tabularnewline
12 & 78 & 92.0705418021102 & -14.0705418021102 \tabularnewline
13 & 86 & 77.2145185110573 & 8.78548148894265 \tabularnewline
14 & 44 & 53.6492807168441 & -9.64928071684414 \tabularnewline
15 & 104 & 103.57747632537 & 0.422523674630397 \tabularnewline
16 & 63 & 68.393464300012 & -5.39346430001196 \tabularnewline
17 & 158 & 150.505678207719 & 7.49432179228135 \tabularnewline
18 & 102 & 83.8081235472597 & 18.1918764527403 \tabularnewline
19 & 77 & 82.371165008621 & -5.37116500862104 \tabularnewline
20 & 82 & 52.3861217365784 & 29.6138782634216 \tabularnewline
21 & 115 & 85.3661279051746 & 29.6338720948255 \tabularnewline
22 & 101 & 91.4384015056988 & 9.56159849430119 \tabularnewline
23 & 80 & 108.930742000735 & -28.9307420007347 \tabularnewline
24 & 50 & 54.020717396828 & -4.02071739682799 \tabularnewline
25 & 83 & 65.6134885052868 & 17.3865114947132 \tabularnewline
26 & 123 & 80.8676836004641 & 42.1323163995359 \tabularnewline
27 & 73 & 78.9897825959395 & -5.98978259593955 \tabularnewline
28 & 81 & 82.301372650074 & -1.30137265007404 \tabularnewline
29 & 105 & 86.4594222780398 & 18.5405777219603 \tabularnewline
30 & 47 & 54.7764964357764 & -7.77649643577643 \tabularnewline
31 & 105 & 83.8983929644809 & 21.1016070355191 \tabularnewline
32 & 94 & 85.8518104092916 & 8.14818959070842 \tabularnewline
33 & 44 & 79.327748427437 & -35.327748427437 \tabularnewline
34 & 114 & 105.277557493497 & 8.72244250650268 \tabularnewline
35 & 38 & 43.4037390823007 & -5.4037390823007 \tabularnewline
36 & 107 & 109.930712508712 & -2.93071250871162 \tabularnewline
37 & 30 & 30.4830879683564 & -0.483087968356428 \tabularnewline
38 & 71 & 89.0343366167028 & -18.0343366167028 \tabularnewline
39 & 84 & 123.48876892536 & -39.4887689253597 \tabularnewline
40 & 0 & -7.99827980811732 & 7.99827980811732 \tabularnewline
41 & 59 & 64.4975702265081 & -5.4975702265081 \tabularnewline
42 & 33 & 33.7941301322403 & -0.794130132240333 \tabularnewline
43 & 42 & 36.8787421372064 & 5.12125786279361 \tabularnewline
44 & 96 & 99.8528725017711 & -3.85287250177111 \tabularnewline
45 & 106 & 101.241252142121 & 4.75874785787911 \tabularnewline
46 & 56 & 60.6254631133728 & -4.62546311337277 \tabularnewline
47 & 57 & 71.2110819720989 & -14.2110819720989 \tabularnewline
48 & 59 & 54.2128243937287 & 4.78717560627128 \tabularnewline
49 & 39 & 50.6300857445842 & -11.6300857445842 \tabularnewline
50 & 34 & 77.4898670095941 & -43.4898670095941 \tabularnewline
51 & 76 & 66.8999669003026 & 9.10003309969744 \tabularnewline
52 & 20 & 37.2784308396932 & -17.2784308396932 \tabularnewline
53 & 91 & 89.0862847277919 & 1.91371527220812 \tabularnewline
54 & 115 & 118.282680881792 & -3.28268088179203 \tabularnewline
55 & 85 & 72.2574206075823 & 12.7425793924177 \tabularnewline
56 & 76 & 69.91472472717 & 6.08527527283004 \tabularnewline
57 & 8 & 2.17805417286618 & 5.82194582713382 \tabularnewline
58 & 79 & 88.7422013274312 & -9.74220132743125 \tabularnewline
59 & 21 & 26.3635303914043 & -5.36353039140431 \tabularnewline
60 & 30 & 25.866219016337 & 4.13378098366302 \tabularnewline
61 & 76 & 88.8064549168733 & -12.8064549168733 \tabularnewline
62 & 101 & 107.028326857973 & -6.02832685797289 \tabularnewline
63 & 94 & 125.402148921688 & -31.4021489216882 \tabularnewline
64 & 27 & 33.9585307300981 & -6.95853073009811 \tabularnewline
65 & 92 & 74.8840417944591 & 17.1159582055409 \tabularnewline
66 & 123 & 95.2728748623517 & 27.7271251376483 \tabularnewline
67 & 75 & 63.3209277901231 & 11.6790722098769 \tabularnewline
68 & 128 & 123.336087214415 & 4.66391278558524 \tabularnewline
69 & 105 & 69.7739100877264 & 35.2260899122736 \tabularnewline
70 & 55 & 76.1246002970783 & -21.1246002970783 \tabularnewline
71 & 56 & 80.1402296350628 & -24.1402296350628 \tabularnewline
72 & 41 & 67.1722306530934 & -26.1722306530934 \tabularnewline
73 & 72 & 65.8939808794045 & 6.10601912059552 \tabularnewline
74 & 67 & 53.0102169869265 & 13.9897830130735 \tabularnewline
75 & 75 & 76.7705491165989 & -1.77054911659885 \tabularnewline
76 & 114 & 73.6394694678432 & 40.3605305321568 \tabularnewline
77 & 118 & 44.0227844640417 & 73.9772155359583 \tabularnewline
78 & 77 & 80.6452971710169 & -3.64529717101691 \tabularnewline
79 & 22 & 30.4877643038815 & -8.48776430388146 \tabularnewline
80 & 66 & 84.815325386568 & -18.815325386568 \tabularnewline
81 & 69 & 61.4818482763847 & 7.51815172361531 \tabularnewline
82 & 105 & 71.0071536444308 & 33.9928463555692 \tabularnewline
83 & 116 & 91.8433800482192 & 24.1566199517808 \tabularnewline
84 & 88 & 85.0660829821773 & 2.93391701782268 \tabularnewline
85 & 73 & 70.2515831503344 & 2.74841684966564 \tabularnewline
86 & 99 & 64.4520386813829 & 34.5479613186171 \tabularnewline
87 & 62 & 69.0345235304451 & -7.0345235304451 \tabularnewline
88 & 53 & 54.7543296885008 & -1.75432968850076 \tabularnewline
89 & 118 & 131.851089796996 & -13.8510897969957 \tabularnewline
90 & 30 & 51.5228972827635 & -21.5228972827635 \tabularnewline
91 & 100 & 81.3839379912295 & 18.6160620087705 \tabularnewline
92 & 49 & 22.3865700219157 & 26.6134299780843 \tabularnewline
93 & 24 & 44.3771463166526 & -20.3771463166526 \tabularnewline
94 & 67 & 49.7168913583962 & 17.2831086416038 \tabularnewline
95 & 46 & 43.0812872956299 & 2.91871270437015 \tabularnewline
96 & 57 & 80.0341820886211 & -23.0341820886211 \tabularnewline
97 & 75 & 105.849389018945 & -30.8493890189445 \tabularnewline
98 & 135 & 89.4357132189093 & 45.5642867810907 \tabularnewline
99 & 68 & 86.1143604119782 & -18.1143604119782 \tabularnewline
100 & 124 & 75.8425868104898 & 48.1574131895102 \tabularnewline
101 & 33 & 49.8994919859707 & -16.8994919859707 \tabularnewline
102 & 98 & 96.1477953303722 & 1.85220466962784 \tabularnewline
103 & 58 & 78.8772502917279 & -20.877250291728 \tabularnewline
104 & 68 & 65.8363449665981 & 2.16365503340189 \tabularnewline
105 & 81 & 67.2246719999784 & 13.7753280000216 \tabularnewline
106 & 131 & 87.789109759648 & 43.210890240352 \tabularnewline
107 & 110 & 115.81053259439 & -5.81053259439047 \tabularnewline
108 & 37 & 42.6025607660435 & -5.60256076604345 \tabularnewline
109 & 130 & 99.1020990392796 & 30.8979009607204 \tabularnewline
110 & 93 & 90.9904214741849 & 2.0095785258151 \tabularnewline
111 & 118 & 91.8468504392306 & 26.1531495607694 \tabularnewline
112 & 39 & 55.2679906739531 & -16.2679906739531 \tabularnewline
113 & 13 & 19.2675914886611 & -6.26759148866111 \tabularnewline
114 & 74 & 54.6025986582782 & 19.3974013417218 \tabularnewline
115 & 81 & 65.9871633353148 & 15.0128366646852 \tabularnewline
116 & 109 & 84.8694865672168 & 24.1305134327832 \tabularnewline
117 & 151 & 97.0093448736962 & 53.9906551263038 \tabularnewline
118 & 51 & 69.3566318718336 & -18.3566318718336 \tabularnewline
119 & 28 & 41.8684993795748 & -13.8684993795748 \tabularnewline
120 & 40 & 31.5933756783207 & 8.40662432167926 \tabularnewline
121 & 56 & 51.9602382583005 & 4.0397617416995 \tabularnewline
122 & 27 & 21.811378759761 & 5.188621240239 \tabularnewline
123 & 37 & 31.6797712101989 & 5.32022878980112 \tabularnewline
124 & 83 & 50.9620221365462 & 32.0379778634538 \tabularnewline
125 & 54 & 78.0123258370514 & -24.0123258370514 \tabularnewline
126 & 27 & 19.8364200549301 & 7.16357994506991 \tabularnewline
127 & 28 & 26.3190841919145 & 1.68091580808552 \tabularnewline
128 & 59 & 44.9670874181777 & 14.0329125818223 \tabularnewline
129 & 133 & 105.506160066078 & 27.4938399339216 \tabularnewline
130 & 12 & -0.131800438815999 & 12.131800438816 \tabularnewline
131 & 0 & 6.8699175222501 & -6.8699175222501 \tabularnewline
132 & 106 & 72.6473795424666 & 33.3526204575334 \tabularnewline
133 & 23 & 12.8136683274809 & 10.1863316725191 \tabularnewline
134 & 44 & 53.5371840704902 & -9.53718407049018 \tabularnewline
135 & 71 & 66.2983354383111 & 4.7016645616889 \tabularnewline
136 & 116 & 111.54814369056 & 4.45185630944025 \tabularnewline
137 & 4 & -1.5114909362576 & 5.5114909362576 \tabularnewline
138 & 62 & 71.6823081701122 & -9.68230817011224 \tabularnewline
139 & 12 & 13.1383476925786 & -1.13834769257857 \tabularnewline
140 & 18 & 7.71071378557417 & 10.2892862144258 \tabularnewline
141 & 14 & 18.7645716347808 & -4.76457163478078 \tabularnewline
142 & 60 & 52.0690828353324 & 7.93091716466764 \tabularnewline
143 & 7 & 29.9349774212778 & -22.9349774212778 \tabularnewline
144 & 98 & 92.9366771601875 & 5.06332283981249 \tabularnewline
145 & 64 & 79.9804850455192 & -15.9804850455192 \tabularnewline
146 & 29 & 36.7179939829091 & -7.71799398290915 \tabularnewline
147 & 32 & 52.4757148947735 & -20.4757148947735 \tabularnewline
148 & 25 & 45.2292257344341 & -20.2292257344341 \tabularnewline
149 & 16 & 5.03358197319714 & 10.9664180268029 \tabularnewline
150 & 48 & 67.8619482878617 & -19.8619482878617 \tabularnewline
151 & 100 & 111.115480104242 & -11.1154801042422 \tabularnewline
152 & 46 & 80.4961240018595 & -34.4961240018595 \tabularnewline
153 & 45 & 41.2475292389137 & 3.75247076108633 \tabularnewline
154 & 129 & 123.38408151213 & 5.61591848787021 \tabularnewline
155 & 130 & 94.4217678250682 & 35.5782321749318 \tabularnewline
156 & 136 & 136.817179392746 & -0.817179392745748 \tabularnewline
157 & 59 & 65.571749940832 & -6.57174994083205 \tabularnewline
158 & 25 & 22.6556682715986 & 2.34433172840143 \tabularnewline
159 & 32 & 47.0371844147 & -15.0371844147 \tabularnewline
160 & 63 & 58.3420080541858 & 4.65799194581419 \tabularnewline
161 & 95 & 131.139881539805 & -36.1398815398047 \tabularnewline
162 & 14 & 34.0243486462071 & -20.0243486462071 \tabularnewline
163 & 36 & 34.1445616920503 & 1.8554383079497 \tabularnewline
164 & 113 & 123.938684624463 & -10.938684624463 \tabularnewline
165 & 47 & 58.3900848752837 & -11.3900848752837 \tabularnewline
166 & 92 & 81.7684819545432 & 10.2315180454568 \tabularnewline
167 & 70 & 62.0667016751315 & 7.93329832486853 \tabularnewline
168 & 19 & 51.5851811544941 & -32.5851811544941 \tabularnewline
169 & 50 & 39.9312106742738 & 10.0687893257262 \tabularnewline
170 & 41 & 77.1321020382181 & -36.1321020382181 \tabularnewline
171 & 91 & 109.802399639082 & -18.8023996390819 \tabularnewline
172 & 111 & 78.3332950342201 & 32.6667049657799 \tabularnewline
173 & 41 & 69.7845465743887 & -28.7845465743887 \tabularnewline
174 & 120 & 99.4073997711345 & 20.5926002288655 \tabularnewline
175 & 135 & 58.3764399526632 & 76.6235600473368 \tabularnewline
176 & 27 & 46.8779850924211 & -19.8779850924211 \tabularnewline
177 & 87 & 89.2095915494025 & -2.20959154940253 \tabularnewline
178 & 25 & 35.1907921410376 & -10.1907921410376 \tabularnewline
179 & 131 & 96.2769092067124 & 34.7230907932876 \tabularnewline
180 & 45 & 36.3654359427771 & 8.63456405722285 \tabularnewline
181 & 29 & 16.4473803083712 & 12.5526196916288 \tabularnewline
182 & 58 & 36.1654457715023 & 21.8345542284976 \tabularnewline
183 & 4 & -5.22575109033438 & 9.22575109033438 \tabularnewline
184 & 47 & 73.2681862139817 & -26.2681862139817 \tabularnewline
185 & 109 & 105.116819065665 & 3.8831809343353 \tabularnewline
186 & 7 & -7.16180373077361 & 14.1618037307736 \tabularnewline
187 & 12 & 8.8963191874978 & 3.1036808125022 \tabularnewline
188 & 0 & -4.6427283532804 & 4.6427283532804 \tabularnewline
189 & 37 & 52.6790595243986 & -15.6790595243986 \tabularnewline
190 & 37 & 48.9526052053522 & -11.9526052053522 \tabularnewline
191 & 46 & 58.8809608925606 & -12.8809608925606 \tabularnewline
192 & 15 & 36.6894896538219 & -21.6894896538219 \tabularnewline
193 & 42 & 19.3074842736771 & 22.6925157263229 \tabularnewline
194 & 7 & 11.8394135242874 & -4.83941352428741 \tabularnewline
195 & 54 & 55.8471468186715 & -1.84714681867147 \tabularnewline
196 & 54 & 35.6123225939916 & 18.3876774060084 \tabularnewline
197 & 14 & 33.0229447708613 & -19.0229447708613 \tabularnewline
198 & 16 & 20.9911656639013 & -4.99116566390131 \tabularnewline
199 & 33 & 40.8074012564137 & -7.80740125641371 \tabularnewline
200 & 32 & 25.7029776527743 & 6.29702234722568 \tabularnewline
201 & 21 & 24.6763611766027 & -3.67636117660267 \tabularnewline
202 & 15 & 28.0700344150782 & -13.0700344150782 \tabularnewline
203 & 38 & 39.192950459215 & -1.19295045921496 \tabularnewline
204 & 22 & 33.305077799374 & -11.305077799374 \tabularnewline
205 & 28 & 33.4273203373725 & -5.42732033737254 \tabularnewline
206 & 10 & 25.4059933440401 & -15.4059933440401 \tabularnewline
207 & 31 & 32.4044624593288 & -1.40446245932881 \tabularnewline
208 & 32 & 55.6126477338753 & -23.6126477338753 \tabularnewline
209 & 32 & 46.2350070853841 & -14.2350070853841 \tabularnewline
210 & 43 & 51.0764981452648 & -8.07649814526477 \tabularnewline
211 & 27 & 22.0736344028949 & 4.92636559710506 \tabularnewline
212 & 37 & 46.7720209063813 & -9.7720209063813 \tabularnewline
213 & 20 & 23.8403408474624 & -3.84034084746239 \tabularnewline
214 & 32 & 28.6442034982495 & 3.35579650175051 \tabularnewline
215 & 0 & 31.176326178335 & -31.176326178335 \tabularnewline
216 & 5 & 27.3457002599803 & -22.3457002599803 \tabularnewline
217 & 26 & 23.5480088271179 & 2.45199117288206 \tabularnewline
218 & 10 & 7.49648008888528 & 2.50351991111472 \tabularnewline
219 & 27 & 22.6215667626402 & 4.37843323735978 \tabularnewline
220 & 11 & 28.8284044450359 & -17.8284044450359 \tabularnewline
221 & 29 & 39.488327030508 & -10.488327030508 \tabularnewline
222 & 25 & 44.8793770237806 & -19.8793770237806 \tabularnewline
223 & 55 & 41.7718448385061 & 13.2281551614939 \tabularnewline
224 & 23 & 29.4390299552823 & -6.43902995528235 \tabularnewline
225 & 5 & 14.7742067184316 & -9.77420671843161 \tabularnewline
226 & 43 & 34.8610300489586 & 8.13896995104142 \tabularnewline
227 & 23 & 13.7352396704981 & 9.26476032950188 \tabularnewline
228 & 34 & 25.6305531323508 & 8.36944686764921 \tabularnewline
229 & 36 & 24.0404214278082 & 11.9595785721918 \tabularnewline
230 & 35 & 47.6216263002792 & -12.6216263002792 \tabularnewline
231 & 0 & 17.610744779216 & -17.610744779216 \tabularnewline
232 & 37 & 31.3805266349167 & 5.61947336508329 \tabularnewline
233 & 28 & 37.7510863464075 & -9.7510863464075 \tabularnewline
234 & 16 & 21.644428563166 & -5.644428563166 \tabularnewline
235 & 26 & 28.8580294467112 & -2.8580294467112 \tabularnewline
236 & 38 & 24.1164386583765 & 13.8835613416235 \tabularnewline
237 & 23 & 53.8295194388134 & -30.8295194388134 \tabularnewline
238 & 22 & 23.9349285481885 & -1.93492854818846 \tabularnewline
239 & 30 & 28.2669524896378 & 1.7330475103622 \tabularnewline
240 & 16 & 18.6228744383945 & -2.62287443839448 \tabularnewline
241 & 18 & 33.3622465993383 & -15.3622465993383 \tabularnewline
242 & 28 & 46.6371526057507 & -18.6371526057507 \tabularnewline
243 & 32 & 19.5839506190482 & 12.4160493809518 \tabularnewline
244 & 21 & 17.8460933122997 & 3.15390668770034 \tabularnewline
245 & 23 & 24.3686387709749 & -1.36863877097485 \tabularnewline
246 & 29 & 35.4665444379709 & -6.46654443797092 \tabularnewline
247 & 50 & 40.5304022995494 & 9.46959770045063 \tabularnewline
248 & 12 & 26.1443734522047 & -14.1443734522047 \tabularnewline
249 & 21 & 21.2548302471956 & -0.254830247195628 \tabularnewline
250 & 18 & 8.90824251900293 & 9.09175748099707 \tabularnewline
251 & 27 & 48.5855646274002 & -21.5855646274002 \tabularnewline
252 & 41 & 37.201686052092 & 3.79831394790799 \tabularnewline
253 & 13 & -4.80226937795548 & 17.8022693779555 \tabularnewline
254 & 12 & 31.6074760363053 & -19.6074760363053 \tabularnewline
255 & 21 & 36.0984672626249 & -15.0984672626249 \tabularnewline
256 & 8 & 4.37531537991345 & 3.62468462008655 \tabularnewline
257 & 26 & 12.788832875257 & 13.211167124743 \tabularnewline
258 & 27 & 28.4664310852771 & -1.46643108527709 \tabularnewline
259 & 13 & 20.2264556098263 & -7.22645560982633 \tabularnewline
260 & 16 & 10.3613499011452 & 5.63865009885483 \tabularnewline
261 & 2 & 14.8522452349577 & -12.8522452349577 \tabularnewline
262 & 42 & 24.8806454197809 & 17.1193545802191 \tabularnewline
263 & 5 & 9.93541483109755 & -4.93541483109755 \tabularnewline
264 & 37 & 24.6440844824993 & 12.3559155175007 \tabularnewline
265 & 17 & 18.8452019445542 & -1.84520194455418 \tabularnewline
266 & 38 & 30.6458267467358 & 7.35417325326419 \tabularnewline
267 & 37 & 27.3890968207684 & 9.61090317923159 \tabularnewline
268 & 29 & 14.5772247570104 & 14.4227752429896 \tabularnewline
269 & 32 & 34.1768329943731 & -2.17683299437311 \tabularnewline
270 & 35 & 32.6452112387534 & 2.35478876124657 \tabularnewline
271 & 17 & 37.94340894254 & -20.94340894254 \tabularnewline
272 & 20 & 25.0154471667282 & -5.01544716672819 \tabularnewline
273 & 7 & 2.87503792670674 & 4.12496207329326 \tabularnewline
274 & 46 & 33.6929948992216 & 12.3070051007784 \tabularnewline
275 & 24 & 19.7006492915134 & 4.29935070848657 \tabularnewline
276 & 40 & 29.1314673986545 & 10.8685326013455 \tabularnewline
277 & 3 & 15.7789795067643 & -12.7789795067643 \tabularnewline
278 & 10 & -4.04918406899066 & 14.0491840689907 \tabularnewline
279 & 37 & 32.5325935407429 & 4.46740645925712 \tabularnewline
280 & 17 & 30.8959916646873 & -13.8959916646873 \tabularnewline
281 & 28 & 32.3750169807377 & -4.37501698073765 \tabularnewline
282 & 19 & 30.1553973383782 & -11.1553973383782 \tabularnewline
283 & 29 & 30.0401129152814 & -1.04011291528141 \tabularnewline
284 & 8 & 4.16818714859379 & 3.8318128514062 \tabularnewline
285 & 10 & 24.4393545847033 & -14.4393545847033 \tabularnewline
286 & 15 & 35.4739262270503 & -20.4739262270503 \tabularnewline
287 & 15 & 22.1071433921718 & -7.10714339217176 \tabularnewline
288 & 28 & 23.8753373457012 & 4.12466265429882 \tabularnewline
289 & 17 & 31.536580068029 & -14.536580068029 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154862&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]79[/C][C]71.2278750950762[/C][C]7.7721249049238[/C][/ROW]
[ROW][C]2[/C][C]58[/C][C]42.6968857516837[/C][C]15.3031142483163[/C][/ROW]
[ROW][C]3[/C][C]60[/C][C]68.7725176592637[/C][C]-8.77251765926373[/C][/ROW]
[ROW][C]4[/C][C]108[/C][C]68.3567935224381[/C][C]39.6432064775619[/C][/ROW]
[ROW][C]5[/C][C]49[/C][C]44.7412620577009[/C][C]4.25873794229912[/C][/ROW]
[ROW][C]6[/C][C]0[/C][C]27.3779345195329[/C][C]-27.3779345195329[/C][/ROW]
[ROW][C]7[/C][C]121[/C][C]129.208993937093[/C][C]-8.20899393709255[/C][/ROW]
[ROW][C]8[/C][C]1[/C][C]16.1008415083225[/C][C]-15.1008415083225[/C][/ROW]
[ROW][C]9[/C][C]20[/C][C]25.2990897982875[/C][C]-5.2990897982875[/C][/ROW]
[ROW][C]10[/C][C]43[/C][C]57.4474283580062[/C][C]-14.4474283580062[/C][/ROW]
[ROW][C]11[/C][C]69[/C][C]66.0906056598696[/C][C]2.90939434013037[/C][/ROW]
[ROW][C]12[/C][C]78[/C][C]92.0705418021102[/C][C]-14.0705418021102[/C][/ROW]
[ROW][C]13[/C][C]86[/C][C]77.2145185110573[/C][C]8.78548148894265[/C][/ROW]
[ROW][C]14[/C][C]44[/C][C]53.6492807168441[/C][C]-9.64928071684414[/C][/ROW]
[ROW][C]15[/C][C]104[/C][C]103.57747632537[/C][C]0.422523674630397[/C][/ROW]
[ROW][C]16[/C][C]63[/C][C]68.393464300012[/C][C]-5.39346430001196[/C][/ROW]
[ROW][C]17[/C][C]158[/C][C]150.505678207719[/C][C]7.49432179228135[/C][/ROW]
[ROW][C]18[/C][C]102[/C][C]83.8081235472597[/C][C]18.1918764527403[/C][/ROW]
[ROW][C]19[/C][C]77[/C][C]82.371165008621[/C][C]-5.37116500862104[/C][/ROW]
[ROW][C]20[/C][C]82[/C][C]52.3861217365784[/C][C]29.6138782634216[/C][/ROW]
[ROW][C]21[/C][C]115[/C][C]85.3661279051746[/C][C]29.6338720948255[/C][/ROW]
[ROW][C]22[/C][C]101[/C][C]91.4384015056988[/C][C]9.56159849430119[/C][/ROW]
[ROW][C]23[/C][C]80[/C][C]108.930742000735[/C][C]-28.9307420007347[/C][/ROW]
[ROW][C]24[/C][C]50[/C][C]54.020717396828[/C][C]-4.02071739682799[/C][/ROW]
[ROW][C]25[/C][C]83[/C][C]65.6134885052868[/C][C]17.3865114947132[/C][/ROW]
[ROW][C]26[/C][C]123[/C][C]80.8676836004641[/C][C]42.1323163995359[/C][/ROW]
[ROW][C]27[/C][C]73[/C][C]78.9897825959395[/C][C]-5.98978259593955[/C][/ROW]
[ROW][C]28[/C][C]81[/C][C]82.301372650074[/C][C]-1.30137265007404[/C][/ROW]
[ROW][C]29[/C][C]105[/C][C]86.4594222780398[/C][C]18.5405777219603[/C][/ROW]
[ROW][C]30[/C][C]47[/C][C]54.7764964357764[/C][C]-7.77649643577643[/C][/ROW]
[ROW][C]31[/C][C]105[/C][C]83.8983929644809[/C][C]21.1016070355191[/C][/ROW]
[ROW][C]32[/C][C]94[/C][C]85.8518104092916[/C][C]8.14818959070842[/C][/ROW]
[ROW][C]33[/C][C]44[/C][C]79.327748427437[/C][C]-35.327748427437[/C][/ROW]
[ROW][C]34[/C][C]114[/C][C]105.277557493497[/C][C]8.72244250650268[/C][/ROW]
[ROW][C]35[/C][C]38[/C][C]43.4037390823007[/C][C]-5.4037390823007[/C][/ROW]
[ROW][C]36[/C][C]107[/C][C]109.930712508712[/C][C]-2.93071250871162[/C][/ROW]
[ROW][C]37[/C][C]30[/C][C]30.4830879683564[/C][C]-0.483087968356428[/C][/ROW]
[ROW][C]38[/C][C]71[/C][C]89.0343366167028[/C][C]-18.0343366167028[/C][/ROW]
[ROW][C]39[/C][C]84[/C][C]123.48876892536[/C][C]-39.4887689253597[/C][/ROW]
[ROW][C]40[/C][C]0[/C][C]-7.99827980811732[/C][C]7.99827980811732[/C][/ROW]
[ROW][C]41[/C][C]59[/C][C]64.4975702265081[/C][C]-5.4975702265081[/C][/ROW]
[ROW][C]42[/C][C]33[/C][C]33.7941301322403[/C][C]-0.794130132240333[/C][/ROW]
[ROW][C]43[/C][C]42[/C][C]36.8787421372064[/C][C]5.12125786279361[/C][/ROW]
[ROW][C]44[/C][C]96[/C][C]99.8528725017711[/C][C]-3.85287250177111[/C][/ROW]
[ROW][C]45[/C][C]106[/C][C]101.241252142121[/C][C]4.75874785787911[/C][/ROW]
[ROW][C]46[/C][C]56[/C][C]60.6254631133728[/C][C]-4.62546311337277[/C][/ROW]
[ROW][C]47[/C][C]57[/C][C]71.2110819720989[/C][C]-14.2110819720989[/C][/ROW]
[ROW][C]48[/C][C]59[/C][C]54.2128243937287[/C][C]4.78717560627128[/C][/ROW]
[ROW][C]49[/C][C]39[/C][C]50.6300857445842[/C][C]-11.6300857445842[/C][/ROW]
[ROW][C]50[/C][C]34[/C][C]77.4898670095941[/C][C]-43.4898670095941[/C][/ROW]
[ROW][C]51[/C][C]76[/C][C]66.8999669003026[/C][C]9.10003309969744[/C][/ROW]
[ROW][C]52[/C][C]20[/C][C]37.2784308396932[/C][C]-17.2784308396932[/C][/ROW]
[ROW][C]53[/C][C]91[/C][C]89.0862847277919[/C][C]1.91371527220812[/C][/ROW]
[ROW][C]54[/C][C]115[/C][C]118.282680881792[/C][C]-3.28268088179203[/C][/ROW]
[ROW][C]55[/C][C]85[/C][C]72.2574206075823[/C][C]12.7425793924177[/C][/ROW]
[ROW][C]56[/C][C]76[/C][C]69.91472472717[/C][C]6.08527527283004[/C][/ROW]
[ROW][C]57[/C][C]8[/C][C]2.17805417286618[/C][C]5.82194582713382[/C][/ROW]
[ROW][C]58[/C][C]79[/C][C]88.7422013274312[/C][C]-9.74220132743125[/C][/ROW]
[ROW][C]59[/C][C]21[/C][C]26.3635303914043[/C][C]-5.36353039140431[/C][/ROW]
[ROW][C]60[/C][C]30[/C][C]25.866219016337[/C][C]4.13378098366302[/C][/ROW]
[ROW][C]61[/C][C]76[/C][C]88.8064549168733[/C][C]-12.8064549168733[/C][/ROW]
[ROW][C]62[/C][C]101[/C][C]107.028326857973[/C][C]-6.02832685797289[/C][/ROW]
[ROW][C]63[/C][C]94[/C][C]125.402148921688[/C][C]-31.4021489216882[/C][/ROW]
[ROW][C]64[/C][C]27[/C][C]33.9585307300981[/C][C]-6.95853073009811[/C][/ROW]
[ROW][C]65[/C][C]92[/C][C]74.8840417944591[/C][C]17.1159582055409[/C][/ROW]
[ROW][C]66[/C][C]123[/C][C]95.2728748623517[/C][C]27.7271251376483[/C][/ROW]
[ROW][C]67[/C][C]75[/C][C]63.3209277901231[/C][C]11.6790722098769[/C][/ROW]
[ROW][C]68[/C][C]128[/C][C]123.336087214415[/C][C]4.66391278558524[/C][/ROW]
[ROW][C]69[/C][C]105[/C][C]69.7739100877264[/C][C]35.2260899122736[/C][/ROW]
[ROW][C]70[/C][C]55[/C][C]76.1246002970783[/C][C]-21.1246002970783[/C][/ROW]
[ROW][C]71[/C][C]56[/C][C]80.1402296350628[/C][C]-24.1402296350628[/C][/ROW]
[ROW][C]72[/C][C]41[/C][C]67.1722306530934[/C][C]-26.1722306530934[/C][/ROW]
[ROW][C]73[/C][C]72[/C][C]65.8939808794045[/C][C]6.10601912059552[/C][/ROW]
[ROW][C]74[/C][C]67[/C][C]53.0102169869265[/C][C]13.9897830130735[/C][/ROW]
[ROW][C]75[/C][C]75[/C][C]76.7705491165989[/C][C]-1.77054911659885[/C][/ROW]
[ROW][C]76[/C][C]114[/C][C]73.6394694678432[/C][C]40.3605305321568[/C][/ROW]
[ROW][C]77[/C][C]118[/C][C]44.0227844640417[/C][C]73.9772155359583[/C][/ROW]
[ROW][C]78[/C][C]77[/C][C]80.6452971710169[/C][C]-3.64529717101691[/C][/ROW]
[ROW][C]79[/C][C]22[/C][C]30.4877643038815[/C][C]-8.48776430388146[/C][/ROW]
[ROW][C]80[/C][C]66[/C][C]84.815325386568[/C][C]-18.815325386568[/C][/ROW]
[ROW][C]81[/C][C]69[/C][C]61.4818482763847[/C][C]7.51815172361531[/C][/ROW]
[ROW][C]82[/C][C]105[/C][C]71.0071536444308[/C][C]33.9928463555692[/C][/ROW]
[ROW][C]83[/C][C]116[/C][C]91.8433800482192[/C][C]24.1566199517808[/C][/ROW]
[ROW][C]84[/C][C]88[/C][C]85.0660829821773[/C][C]2.93391701782268[/C][/ROW]
[ROW][C]85[/C][C]73[/C][C]70.2515831503344[/C][C]2.74841684966564[/C][/ROW]
[ROW][C]86[/C][C]99[/C][C]64.4520386813829[/C][C]34.5479613186171[/C][/ROW]
[ROW][C]87[/C][C]62[/C][C]69.0345235304451[/C][C]-7.0345235304451[/C][/ROW]
[ROW][C]88[/C][C]53[/C][C]54.7543296885008[/C][C]-1.75432968850076[/C][/ROW]
[ROW][C]89[/C][C]118[/C][C]131.851089796996[/C][C]-13.8510897969957[/C][/ROW]
[ROW][C]90[/C][C]30[/C][C]51.5228972827635[/C][C]-21.5228972827635[/C][/ROW]
[ROW][C]91[/C][C]100[/C][C]81.3839379912295[/C][C]18.6160620087705[/C][/ROW]
[ROW][C]92[/C][C]49[/C][C]22.3865700219157[/C][C]26.6134299780843[/C][/ROW]
[ROW][C]93[/C][C]24[/C][C]44.3771463166526[/C][C]-20.3771463166526[/C][/ROW]
[ROW][C]94[/C][C]67[/C][C]49.7168913583962[/C][C]17.2831086416038[/C][/ROW]
[ROW][C]95[/C][C]46[/C][C]43.0812872956299[/C][C]2.91871270437015[/C][/ROW]
[ROW][C]96[/C][C]57[/C][C]80.0341820886211[/C][C]-23.0341820886211[/C][/ROW]
[ROW][C]97[/C][C]75[/C][C]105.849389018945[/C][C]-30.8493890189445[/C][/ROW]
[ROW][C]98[/C][C]135[/C][C]89.4357132189093[/C][C]45.5642867810907[/C][/ROW]
[ROW][C]99[/C][C]68[/C][C]86.1143604119782[/C][C]-18.1143604119782[/C][/ROW]
[ROW][C]100[/C][C]124[/C][C]75.8425868104898[/C][C]48.1574131895102[/C][/ROW]
[ROW][C]101[/C][C]33[/C][C]49.8994919859707[/C][C]-16.8994919859707[/C][/ROW]
[ROW][C]102[/C][C]98[/C][C]96.1477953303722[/C][C]1.85220466962784[/C][/ROW]
[ROW][C]103[/C][C]58[/C][C]78.8772502917279[/C][C]-20.877250291728[/C][/ROW]
[ROW][C]104[/C][C]68[/C][C]65.8363449665981[/C][C]2.16365503340189[/C][/ROW]
[ROW][C]105[/C][C]81[/C][C]67.2246719999784[/C][C]13.7753280000216[/C][/ROW]
[ROW][C]106[/C][C]131[/C][C]87.789109759648[/C][C]43.210890240352[/C][/ROW]
[ROW][C]107[/C][C]110[/C][C]115.81053259439[/C][C]-5.81053259439047[/C][/ROW]
[ROW][C]108[/C][C]37[/C][C]42.6025607660435[/C][C]-5.60256076604345[/C][/ROW]
[ROW][C]109[/C][C]130[/C][C]99.1020990392796[/C][C]30.8979009607204[/C][/ROW]
[ROW][C]110[/C][C]93[/C][C]90.9904214741849[/C][C]2.0095785258151[/C][/ROW]
[ROW][C]111[/C][C]118[/C][C]91.8468504392306[/C][C]26.1531495607694[/C][/ROW]
[ROW][C]112[/C][C]39[/C][C]55.2679906739531[/C][C]-16.2679906739531[/C][/ROW]
[ROW][C]113[/C][C]13[/C][C]19.2675914886611[/C][C]-6.26759148866111[/C][/ROW]
[ROW][C]114[/C][C]74[/C][C]54.6025986582782[/C][C]19.3974013417218[/C][/ROW]
[ROW][C]115[/C][C]81[/C][C]65.9871633353148[/C][C]15.0128366646852[/C][/ROW]
[ROW][C]116[/C][C]109[/C][C]84.8694865672168[/C][C]24.1305134327832[/C][/ROW]
[ROW][C]117[/C][C]151[/C][C]97.0093448736962[/C][C]53.9906551263038[/C][/ROW]
[ROW][C]118[/C][C]51[/C][C]69.3566318718336[/C][C]-18.3566318718336[/C][/ROW]
[ROW][C]119[/C][C]28[/C][C]41.8684993795748[/C][C]-13.8684993795748[/C][/ROW]
[ROW][C]120[/C][C]40[/C][C]31.5933756783207[/C][C]8.40662432167926[/C][/ROW]
[ROW][C]121[/C][C]56[/C][C]51.9602382583005[/C][C]4.0397617416995[/C][/ROW]
[ROW][C]122[/C][C]27[/C][C]21.811378759761[/C][C]5.188621240239[/C][/ROW]
[ROW][C]123[/C][C]37[/C][C]31.6797712101989[/C][C]5.32022878980112[/C][/ROW]
[ROW][C]124[/C][C]83[/C][C]50.9620221365462[/C][C]32.0379778634538[/C][/ROW]
[ROW][C]125[/C][C]54[/C][C]78.0123258370514[/C][C]-24.0123258370514[/C][/ROW]
[ROW][C]126[/C][C]27[/C][C]19.8364200549301[/C][C]7.16357994506991[/C][/ROW]
[ROW][C]127[/C][C]28[/C][C]26.3190841919145[/C][C]1.68091580808552[/C][/ROW]
[ROW][C]128[/C][C]59[/C][C]44.9670874181777[/C][C]14.0329125818223[/C][/ROW]
[ROW][C]129[/C][C]133[/C][C]105.506160066078[/C][C]27.4938399339216[/C][/ROW]
[ROW][C]130[/C][C]12[/C][C]-0.131800438815999[/C][C]12.131800438816[/C][/ROW]
[ROW][C]131[/C][C]0[/C][C]6.8699175222501[/C][C]-6.8699175222501[/C][/ROW]
[ROW][C]132[/C][C]106[/C][C]72.6473795424666[/C][C]33.3526204575334[/C][/ROW]
[ROW][C]133[/C][C]23[/C][C]12.8136683274809[/C][C]10.1863316725191[/C][/ROW]
[ROW][C]134[/C][C]44[/C][C]53.5371840704902[/C][C]-9.53718407049018[/C][/ROW]
[ROW][C]135[/C][C]71[/C][C]66.2983354383111[/C][C]4.7016645616889[/C][/ROW]
[ROW][C]136[/C][C]116[/C][C]111.54814369056[/C][C]4.45185630944025[/C][/ROW]
[ROW][C]137[/C][C]4[/C][C]-1.5114909362576[/C][C]5.5114909362576[/C][/ROW]
[ROW][C]138[/C][C]62[/C][C]71.6823081701122[/C][C]-9.68230817011224[/C][/ROW]
[ROW][C]139[/C][C]12[/C][C]13.1383476925786[/C][C]-1.13834769257857[/C][/ROW]
[ROW][C]140[/C][C]18[/C][C]7.71071378557417[/C][C]10.2892862144258[/C][/ROW]
[ROW][C]141[/C][C]14[/C][C]18.7645716347808[/C][C]-4.76457163478078[/C][/ROW]
[ROW][C]142[/C][C]60[/C][C]52.0690828353324[/C][C]7.93091716466764[/C][/ROW]
[ROW][C]143[/C][C]7[/C][C]29.9349774212778[/C][C]-22.9349774212778[/C][/ROW]
[ROW][C]144[/C][C]98[/C][C]92.9366771601875[/C][C]5.06332283981249[/C][/ROW]
[ROW][C]145[/C][C]64[/C][C]79.9804850455192[/C][C]-15.9804850455192[/C][/ROW]
[ROW][C]146[/C][C]29[/C][C]36.7179939829091[/C][C]-7.71799398290915[/C][/ROW]
[ROW][C]147[/C][C]32[/C][C]52.4757148947735[/C][C]-20.4757148947735[/C][/ROW]
[ROW][C]148[/C][C]25[/C][C]45.2292257344341[/C][C]-20.2292257344341[/C][/ROW]
[ROW][C]149[/C][C]16[/C][C]5.03358197319714[/C][C]10.9664180268029[/C][/ROW]
[ROW][C]150[/C][C]48[/C][C]67.8619482878617[/C][C]-19.8619482878617[/C][/ROW]
[ROW][C]151[/C][C]100[/C][C]111.115480104242[/C][C]-11.1154801042422[/C][/ROW]
[ROW][C]152[/C][C]46[/C][C]80.4961240018595[/C][C]-34.4961240018595[/C][/ROW]
[ROW][C]153[/C][C]45[/C][C]41.2475292389137[/C][C]3.75247076108633[/C][/ROW]
[ROW][C]154[/C][C]129[/C][C]123.38408151213[/C][C]5.61591848787021[/C][/ROW]
[ROW][C]155[/C][C]130[/C][C]94.4217678250682[/C][C]35.5782321749318[/C][/ROW]
[ROW][C]156[/C][C]136[/C][C]136.817179392746[/C][C]-0.817179392745748[/C][/ROW]
[ROW][C]157[/C][C]59[/C][C]65.571749940832[/C][C]-6.57174994083205[/C][/ROW]
[ROW][C]158[/C][C]25[/C][C]22.6556682715986[/C][C]2.34433172840143[/C][/ROW]
[ROW][C]159[/C][C]32[/C][C]47.0371844147[/C][C]-15.0371844147[/C][/ROW]
[ROW][C]160[/C][C]63[/C][C]58.3420080541858[/C][C]4.65799194581419[/C][/ROW]
[ROW][C]161[/C][C]95[/C][C]131.139881539805[/C][C]-36.1398815398047[/C][/ROW]
[ROW][C]162[/C][C]14[/C][C]34.0243486462071[/C][C]-20.0243486462071[/C][/ROW]
[ROW][C]163[/C][C]36[/C][C]34.1445616920503[/C][C]1.8554383079497[/C][/ROW]
[ROW][C]164[/C][C]113[/C][C]123.938684624463[/C][C]-10.938684624463[/C][/ROW]
[ROW][C]165[/C][C]47[/C][C]58.3900848752837[/C][C]-11.3900848752837[/C][/ROW]
[ROW][C]166[/C][C]92[/C][C]81.7684819545432[/C][C]10.2315180454568[/C][/ROW]
[ROW][C]167[/C][C]70[/C][C]62.0667016751315[/C][C]7.93329832486853[/C][/ROW]
[ROW][C]168[/C][C]19[/C][C]51.5851811544941[/C][C]-32.5851811544941[/C][/ROW]
[ROW][C]169[/C][C]50[/C][C]39.9312106742738[/C][C]10.0687893257262[/C][/ROW]
[ROW][C]170[/C][C]41[/C][C]77.1321020382181[/C][C]-36.1321020382181[/C][/ROW]
[ROW][C]171[/C][C]91[/C][C]109.802399639082[/C][C]-18.8023996390819[/C][/ROW]
[ROW][C]172[/C][C]111[/C][C]78.3332950342201[/C][C]32.6667049657799[/C][/ROW]
[ROW][C]173[/C][C]41[/C][C]69.7845465743887[/C][C]-28.7845465743887[/C][/ROW]
[ROW][C]174[/C][C]120[/C][C]99.4073997711345[/C][C]20.5926002288655[/C][/ROW]
[ROW][C]175[/C][C]135[/C][C]58.3764399526632[/C][C]76.6235600473368[/C][/ROW]
[ROW][C]176[/C][C]27[/C][C]46.8779850924211[/C][C]-19.8779850924211[/C][/ROW]
[ROW][C]177[/C][C]87[/C][C]89.2095915494025[/C][C]-2.20959154940253[/C][/ROW]
[ROW][C]178[/C][C]25[/C][C]35.1907921410376[/C][C]-10.1907921410376[/C][/ROW]
[ROW][C]179[/C][C]131[/C][C]96.2769092067124[/C][C]34.7230907932876[/C][/ROW]
[ROW][C]180[/C][C]45[/C][C]36.3654359427771[/C][C]8.63456405722285[/C][/ROW]
[ROW][C]181[/C][C]29[/C][C]16.4473803083712[/C][C]12.5526196916288[/C][/ROW]
[ROW][C]182[/C][C]58[/C][C]36.1654457715023[/C][C]21.8345542284976[/C][/ROW]
[ROW][C]183[/C][C]4[/C][C]-5.22575109033438[/C][C]9.22575109033438[/C][/ROW]
[ROW][C]184[/C][C]47[/C][C]73.2681862139817[/C][C]-26.2681862139817[/C][/ROW]
[ROW][C]185[/C][C]109[/C][C]105.116819065665[/C][C]3.8831809343353[/C][/ROW]
[ROW][C]186[/C][C]7[/C][C]-7.16180373077361[/C][C]14.1618037307736[/C][/ROW]
[ROW][C]187[/C][C]12[/C][C]8.8963191874978[/C][C]3.1036808125022[/C][/ROW]
[ROW][C]188[/C][C]0[/C][C]-4.6427283532804[/C][C]4.6427283532804[/C][/ROW]
[ROW][C]189[/C][C]37[/C][C]52.6790595243986[/C][C]-15.6790595243986[/C][/ROW]
[ROW][C]190[/C][C]37[/C][C]48.9526052053522[/C][C]-11.9526052053522[/C][/ROW]
[ROW][C]191[/C][C]46[/C][C]58.8809608925606[/C][C]-12.8809608925606[/C][/ROW]
[ROW][C]192[/C][C]15[/C][C]36.6894896538219[/C][C]-21.6894896538219[/C][/ROW]
[ROW][C]193[/C][C]42[/C][C]19.3074842736771[/C][C]22.6925157263229[/C][/ROW]
[ROW][C]194[/C][C]7[/C][C]11.8394135242874[/C][C]-4.83941352428741[/C][/ROW]
[ROW][C]195[/C][C]54[/C][C]55.8471468186715[/C][C]-1.84714681867147[/C][/ROW]
[ROW][C]196[/C][C]54[/C][C]35.6123225939916[/C][C]18.3876774060084[/C][/ROW]
[ROW][C]197[/C][C]14[/C][C]33.0229447708613[/C][C]-19.0229447708613[/C][/ROW]
[ROW][C]198[/C][C]16[/C][C]20.9911656639013[/C][C]-4.99116566390131[/C][/ROW]
[ROW][C]199[/C][C]33[/C][C]40.8074012564137[/C][C]-7.80740125641371[/C][/ROW]
[ROW][C]200[/C][C]32[/C][C]25.7029776527743[/C][C]6.29702234722568[/C][/ROW]
[ROW][C]201[/C][C]21[/C][C]24.6763611766027[/C][C]-3.67636117660267[/C][/ROW]
[ROW][C]202[/C][C]15[/C][C]28.0700344150782[/C][C]-13.0700344150782[/C][/ROW]
[ROW][C]203[/C][C]38[/C][C]39.192950459215[/C][C]-1.19295045921496[/C][/ROW]
[ROW][C]204[/C][C]22[/C][C]33.305077799374[/C][C]-11.305077799374[/C][/ROW]
[ROW][C]205[/C][C]28[/C][C]33.4273203373725[/C][C]-5.42732033737254[/C][/ROW]
[ROW][C]206[/C][C]10[/C][C]25.4059933440401[/C][C]-15.4059933440401[/C][/ROW]
[ROW][C]207[/C][C]31[/C][C]32.4044624593288[/C][C]-1.40446245932881[/C][/ROW]
[ROW][C]208[/C][C]32[/C][C]55.6126477338753[/C][C]-23.6126477338753[/C][/ROW]
[ROW][C]209[/C][C]32[/C][C]46.2350070853841[/C][C]-14.2350070853841[/C][/ROW]
[ROW][C]210[/C][C]43[/C][C]51.0764981452648[/C][C]-8.07649814526477[/C][/ROW]
[ROW][C]211[/C][C]27[/C][C]22.0736344028949[/C][C]4.92636559710506[/C][/ROW]
[ROW][C]212[/C][C]37[/C][C]46.7720209063813[/C][C]-9.7720209063813[/C][/ROW]
[ROW][C]213[/C][C]20[/C][C]23.8403408474624[/C][C]-3.84034084746239[/C][/ROW]
[ROW][C]214[/C][C]32[/C][C]28.6442034982495[/C][C]3.35579650175051[/C][/ROW]
[ROW][C]215[/C][C]0[/C][C]31.176326178335[/C][C]-31.176326178335[/C][/ROW]
[ROW][C]216[/C][C]5[/C][C]27.3457002599803[/C][C]-22.3457002599803[/C][/ROW]
[ROW][C]217[/C][C]26[/C][C]23.5480088271179[/C][C]2.45199117288206[/C][/ROW]
[ROW][C]218[/C][C]10[/C][C]7.49648008888528[/C][C]2.50351991111472[/C][/ROW]
[ROW][C]219[/C][C]27[/C][C]22.6215667626402[/C][C]4.37843323735978[/C][/ROW]
[ROW][C]220[/C][C]11[/C][C]28.8284044450359[/C][C]-17.8284044450359[/C][/ROW]
[ROW][C]221[/C][C]29[/C][C]39.488327030508[/C][C]-10.488327030508[/C][/ROW]
[ROW][C]222[/C][C]25[/C][C]44.8793770237806[/C][C]-19.8793770237806[/C][/ROW]
[ROW][C]223[/C][C]55[/C][C]41.7718448385061[/C][C]13.2281551614939[/C][/ROW]
[ROW][C]224[/C][C]23[/C][C]29.4390299552823[/C][C]-6.43902995528235[/C][/ROW]
[ROW][C]225[/C][C]5[/C][C]14.7742067184316[/C][C]-9.77420671843161[/C][/ROW]
[ROW][C]226[/C][C]43[/C][C]34.8610300489586[/C][C]8.13896995104142[/C][/ROW]
[ROW][C]227[/C][C]23[/C][C]13.7352396704981[/C][C]9.26476032950188[/C][/ROW]
[ROW][C]228[/C][C]34[/C][C]25.6305531323508[/C][C]8.36944686764921[/C][/ROW]
[ROW][C]229[/C][C]36[/C][C]24.0404214278082[/C][C]11.9595785721918[/C][/ROW]
[ROW][C]230[/C][C]35[/C][C]47.6216263002792[/C][C]-12.6216263002792[/C][/ROW]
[ROW][C]231[/C][C]0[/C][C]17.610744779216[/C][C]-17.610744779216[/C][/ROW]
[ROW][C]232[/C][C]37[/C][C]31.3805266349167[/C][C]5.61947336508329[/C][/ROW]
[ROW][C]233[/C][C]28[/C][C]37.7510863464075[/C][C]-9.7510863464075[/C][/ROW]
[ROW][C]234[/C][C]16[/C][C]21.644428563166[/C][C]-5.644428563166[/C][/ROW]
[ROW][C]235[/C][C]26[/C][C]28.8580294467112[/C][C]-2.8580294467112[/C][/ROW]
[ROW][C]236[/C][C]38[/C][C]24.1164386583765[/C][C]13.8835613416235[/C][/ROW]
[ROW][C]237[/C][C]23[/C][C]53.8295194388134[/C][C]-30.8295194388134[/C][/ROW]
[ROW][C]238[/C][C]22[/C][C]23.9349285481885[/C][C]-1.93492854818846[/C][/ROW]
[ROW][C]239[/C][C]30[/C][C]28.2669524896378[/C][C]1.7330475103622[/C][/ROW]
[ROW][C]240[/C][C]16[/C][C]18.6228744383945[/C][C]-2.62287443839448[/C][/ROW]
[ROW][C]241[/C][C]18[/C][C]33.3622465993383[/C][C]-15.3622465993383[/C][/ROW]
[ROW][C]242[/C][C]28[/C][C]46.6371526057507[/C][C]-18.6371526057507[/C][/ROW]
[ROW][C]243[/C][C]32[/C][C]19.5839506190482[/C][C]12.4160493809518[/C][/ROW]
[ROW][C]244[/C][C]21[/C][C]17.8460933122997[/C][C]3.15390668770034[/C][/ROW]
[ROW][C]245[/C][C]23[/C][C]24.3686387709749[/C][C]-1.36863877097485[/C][/ROW]
[ROW][C]246[/C][C]29[/C][C]35.4665444379709[/C][C]-6.46654443797092[/C][/ROW]
[ROW][C]247[/C][C]50[/C][C]40.5304022995494[/C][C]9.46959770045063[/C][/ROW]
[ROW][C]248[/C][C]12[/C][C]26.1443734522047[/C][C]-14.1443734522047[/C][/ROW]
[ROW][C]249[/C][C]21[/C][C]21.2548302471956[/C][C]-0.254830247195628[/C][/ROW]
[ROW][C]250[/C][C]18[/C][C]8.90824251900293[/C][C]9.09175748099707[/C][/ROW]
[ROW][C]251[/C][C]27[/C][C]48.5855646274002[/C][C]-21.5855646274002[/C][/ROW]
[ROW][C]252[/C][C]41[/C][C]37.201686052092[/C][C]3.79831394790799[/C][/ROW]
[ROW][C]253[/C][C]13[/C][C]-4.80226937795548[/C][C]17.8022693779555[/C][/ROW]
[ROW][C]254[/C][C]12[/C][C]31.6074760363053[/C][C]-19.6074760363053[/C][/ROW]
[ROW][C]255[/C][C]21[/C][C]36.0984672626249[/C][C]-15.0984672626249[/C][/ROW]
[ROW][C]256[/C][C]8[/C][C]4.37531537991345[/C][C]3.62468462008655[/C][/ROW]
[ROW][C]257[/C][C]26[/C][C]12.788832875257[/C][C]13.211167124743[/C][/ROW]
[ROW][C]258[/C][C]27[/C][C]28.4664310852771[/C][C]-1.46643108527709[/C][/ROW]
[ROW][C]259[/C][C]13[/C][C]20.2264556098263[/C][C]-7.22645560982633[/C][/ROW]
[ROW][C]260[/C][C]16[/C][C]10.3613499011452[/C][C]5.63865009885483[/C][/ROW]
[ROW][C]261[/C][C]2[/C][C]14.8522452349577[/C][C]-12.8522452349577[/C][/ROW]
[ROW][C]262[/C][C]42[/C][C]24.8806454197809[/C][C]17.1193545802191[/C][/ROW]
[ROW][C]263[/C][C]5[/C][C]9.93541483109755[/C][C]-4.93541483109755[/C][/ROW]
[ROW][C]264[/C][C]37[/C][C]24.6440844824993[/C][C]12.3559155175007[/C][/ROW]
[ROW][C]265[/C][C]17[/C][C]18.8452019445542[/C][C]-1.84520194455418[/C][/ROW]
[ROW][C]266[/C][C]38[/C][C]30.6458267467358[/C][C]7.35417325326419[/C][/ROW]
[ROW][C]267[/C][C]37[/C][C]27.3890968207684[/C][C]9.61090317923159[/C][/ROW]
[ROW][C]268[/C][C]29[/C][C]14.5772247570104[/C][C]14.4227752429896[/C][/ROW]
[ROW][C]269[/C][C]32[/C][C]34.1768329943731[/C][C]-2.17683299437311[/C][/ROW]
[ROW][C]270[/C][C]35[/C][C]32.6452112387534[/C][C]2.35478876124657[/C][/ROW]
[ROW][C]271[/C][C]17[/C][C]37.94340894254[/C][C]-20.94340894254[/C][/ROW]
[ROW][C]272[/C][C]20[/C][C]25.0154471667282[/C][C]-5.01544716672819[/C][/ROW]
[ROW][C]273[/C][C]7[/C][C]2.87503792670674[/C][C]4.12496207329326[/C][/ROW]
[ROW][C]274[/C][C]46[/C][C]33.6929948992216[/C][C]12.3070051007784[/C][/ROW]
[ROW][C]275[/C][C]24[/C][C]19.7006492915134[/C][C]4.29935070848657[/C][/ROW]
[ROW][C]276[/C][C]40[/C][C]29.1314673986545[/C][C]10.8685326013455[/C][/ROW]
[ROW][C]277[/C][C]3[/C][C]15.7789795067643[/C][C]-12.7789795067643[/C][/ROW]
[ROW][C]278[/C][C]10[/C][C]-4.04918406899066[/C][C]14.0491840689907[/C][/ROW]
[ROW][C]279[/C][C]37[/C][C]32.5325935407429[/C][C]4.46740645925712[/C][/ROW]
[ROW][C]280[/C][C]17[/C][C]30.8959916646873[/C][C]-13.8959916646873[/C][/ROW]
[ROW][C]281[/C][C]28[/C][C]32.3750169807377[/C][C]-4.37501698073765[/C][/ROW]
[ROW][C]282[/C][C]19[/C][C]30.1553973383782[/C][C]-11.1553973383782[/C][/ROW]
[ROW][C]283[/C][C]29[/C][C]30.0401129152814[/C][C]-1.04011291528141[/C][/ROW]
[ROW][C]284[/C][C]8[/C][C]4.16818714859379[/C][C]3.8318128514062[/C][/ROW]
[ROW][C]285[/C][C]10[/C][C]24.4393545847033[/C][C]-14.4393545847033[/C][/ROW]
[ROW][C]286[/C][C]15[/C][C]35.4739262270503[/C][C]-20.4739262270503[/C][/ROW]
[ROW][C]287[/C][C]15[/C][C]22.1071433921718[/C][C]-7.10714339217176[/C][/ROW]
[ROW][C]288[/C][C]28[/C][C]23.8753373457012[/C][C]4.12466265429882[/C][/ROW]
[ROW][C]289[/C][C]17[/C][C]31.536580068029[/C][C]-14.536580068029[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154862&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154862&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
17971.22787509507627.7721249049238
25842.696885751683715.3031142483163
36068.7725176592637-8.77251765926373
410868.356793522438139.6432064775619
54944.74126205770094.25873794229912
6027.3779345195329-27.3779345195329
7121129.208993937093-8.20899393709255
8116.1008415083225-15.1008415083225
92025.2990897982875-5.2990897982875
104357.4474283580062-14.4474283580062
116966.09060565986962.90939434013037
127892.0705418021102-14.0705418021102
138677.21451851105738.78548148894265
144453.6492807168441-9.64928071684414
15104103.577476325370.422523674630397
166368.393464300012-5.39346430001196
17158150.5056782077197.49432179228135
1810283.808123547259718.1918764527403
197782.371165008621-5.37116500862104
208252.386121736578429.6138782634216
2111585.366127905174629.6338720948255
2210191.43840150569889.56159849430119
2380108.930742000735-28.9307420007347
245054.020717396828-4.02071739682799
258365.613488505286817.3865114947132
2612380.867683600464142.1323163995359
277378.9897825959395-5.98978259593955
288182.301372650074-1.30137265007404
2910586.459422278039818.5405777219603
304754.7764964357764-7.77649643577643
3110583.898392964480921.1016070355191
329485.85181040929168.14818959070842
334479.327748427437-35.327748427437
34114105.2775574934978.72244250650268
353843.4037390823007-5.4037390823007
36107109.930712508712-2.93071250871162
373030.4830879683564-0.483087968356428
387189.0343366167028-18.0343366167028
3984123.48876892536-39.4887689253597
400-7.998279808117327.99827980811732
415964.4975702265081-5.4975702265081
423333.7941301322403-0.794130132240333
434236.87874213720645.12125786279361
449699.8528725017711-3.85287250177111
45106101.2412521421214.75874785787911
465660.6254631133728-4.62546311337277
475771.2110819720989-14.2110819720989
485954.21282439372874.78717560627128
493950.6300857445842-11.6300857445842
503477.4898670095941-43.4898670095941
517666.89996690030269.10003309969744
522037.2784308396932-17.2784308396932
539189.08628472779191.91371527220812
54115118.282680881792-3.28268088179203
558572.257420607582312.7425793924177
567669.914724727176.08527527283004
5782.178054172866185.82194582713382
587988.7422013274312-9.74220132743125
592126.3635303914043-5.36353039140431
603025.8662190163374.13378098366302
617688.8064549168733-12.8064549168733
62101107.028326857973-6.02832685797289
6394125.402148921688-31.4021489216882
642733.9585307300981-6.95853073009811
659274.884041794459117.1159582055409
6612395.272874862351727.7271251376483
677563.320927790123111.6790722098769
68128123.3360872144154.66391278558524
6910569.773910087726435.2260899122736
705576.1246002970783-21.1246002970783
715680.1402296350628-24.1402296350628
724167.1722306530934-26.1722306530934
737265.89398087940456.10601912059552
746753.010216986926513.9897830130735
757576.7705491165989-1.77054911659885
7611473.639469467843240.3605305321568
7711844.022784464041773.9772155359583
787780.6452971710169-3.64529717101691
792230.4877643038815-8.48776430388146
806684.815325386568-18.815325386568
816961.48184827638477.51815172361531
8210571.007153644430833.9928463555692
8311691.843380048219224.1566199517808
848885.06608298217732.93391701782268
857370.25158315033442.74841684966564
869964.452038681382934.5479613186171
876269.0345235304451-7.0345235304451
885354.7543296885008-1.75432968850076
89118131.851089796996-13.8510897969957
903051.5228972827635-21.5228972827635
9110081.383937991229518.6160620087705
924922.386570021915726.6134299780843
932444.3771463166526-20.3771463166526
946749.716891358396217.2831086416038
954643.08128729562992.91871270437015
965780.0341820886211-23.0341820886211
9775105.849389018945-30.8493890189445
9813589.435713218909345.5642867810907
996886.1143604119782-18.1143604119782
10012475.842586810489848.1574131895102
1013349.8994919859707-16.8994919859707
1029896.14779533037221.85220466962784
1035878.8772502917279-20.877250291728
1046865.83634496659812.16365503340189
1058167.224671999978413.7753280000216
10613187.78910975964843.210890240352
107110115.81053259439-5.81053259439047
1083742.6025607660435-5.60256076604345
10913099.102099039279630.8979009607204
1109390.99042147418492.0095785258151
11111891.846850439230626.1531495607694
1123955.2679906739531-16.2679906739531
1131319.2675914886611-6.26759148866111
1147454.602598658278219.3974013417218
1158165.987163335314815.0128366646852
11610984.869486567216824.1305134327832
11715197.009344873696253.9906551263038
1185169.3566318718336-18.3566318718336
1192841.8684993795748-13.8684993795748
1204031.59337567832078.40662432167926
1215651.96023825830054.0397617416995
1222721.8113787597615.188621240239
1233731.67977121019895.32022878980112
1248350.962022136546232.0379778634538
1255478.0123258370514-24.0123258370514
1262719.83642005493017.16357994506991
1272826.31908419191451.68091580808552
1285944.967087418177714.0329125818223
129133105.50616006607827.4938399339216
13012-0.13180043881599912.131800438816
13106.8699175222501-6.8699175222501
13210672.647379542466633.3526204575334
1332312.813668327480910.1863316725191
1344453.5371840704902-9.53718407049018
1357166.29833543831114.7016645616889
136116111.548143690564.45185630944025
1374-1.51149093625765.5114909362576
1386271.6823081701122-9.68230817011224
1391213.1383476925786-1.13834769257857
140187.7107137855741710.2892862144258
1411418.7645716347808-4.76457163478078
1426052.06908283533247.93091716466764
143729.9349774212778-22.9349774212778
1449892.93667716018755.06332283981249
1456479.9804850455192-15.9804850455192
1462936.7179939829091-7.71799398290915
1473252.4757148947735-20.4757148947735
1482545.2292257344341-20.2292257344341
149165.0335819731971410.9664180268029
1504867.8619482878617-19.8619482878617
151100111.115480104242-11.1154801042422
1524680.4961240018595-34.4961240018595
1534541.24752923891373.75247076108633
154129123.384081512135.61591848787021
15513094.421767825068235.5782321749318
156136136.817179392746-0.817179392745748
1575965.571749940832-6.57174994083205
1582522.65566827159862.34433172840143
1593247.0371844147-15.0371844147
1606358.34200805418584.65799194581419
16195131.139881539805-36.1398815398047
1621434.0243486462071-20.0243486462071
1633634.14456169205031.8554383079497
164113123.938684624463-10.938684624463
1654758.3900848752837-11.3900848752837
1669281.768481954543210.2315180454568
1677062.06670167513157.93329832486853
1681951.5851811544941-32.5851811544941
1695039.931210674273810.0687893257262
1704177.1321020382181-36.1321020382181
17191109.802399639082-18.8023996390819
17211178.333295034220132.6667049657799
1734169.7845465743887-28.7845465743887
17412099.407399771134520.5926002288655
17513558.376439952663276.6235600473368
1762746.8779850924211-19.8779850924211
1778789.2095915494025-2.20959154940253
1782535.1907921410376-10.1907921410376
17913196.276909206712434.7230907932876
1804536.36543594277718.63456405722285
1812916.447380308371212.5526196916288
1825836.165445771502321.8345542284976
1834-5.225751090334389.22575109033438
1844773.2681862139817-26.2681862139817
185109105.1168190656653.8831809343353
1867-7.1618037307736114.1618037307736
187128.89631918749783.1036808125022
1880-4.64272835328044.6427283532804
1893752.6790595243986-15.6790595243986
1903748.9526052053522-11.9526052053522
1914658.8809608925606-12.8809608925606
1921536.6894896538219-21.6894896538219
1934219.307484273677122.6925157263229
194711.8394135242874-4.83941352428741
1955455.8471468186715-1.84714681867147
1965435.612322593991618.3876774060084
1971433.0229447708613-19.0229447708613
1981620.9911656639013-4.99116566390131
1993340.8074012564137-7.80740125641371
2003225.70297765277436.29702234722568
2012124.6763611766027-3.67636117660267
2021528.0700344150782-13.0700344150782
2033839.192950459215-1.19295045921496
2042233.305077799374-11.305077799374
2052833.4273203373725-5.42732033737254
2061025.4059933440401-15.4059933440401
2073132.4044624593288-1.40446245932881
2083255.6126477338753-23.6126477338753
2093246.2350070853841-14.2350070853841
2104351.0764981452648-8.07649814526477
2112722.07363440289494.92636559710506
2123746.7720209063813-9.7720209063813
2132023.8403408474624-3.84034084746239
2143228.64420349824953.35579650175051
215031.176326178335-31.176326178335
216527.3457002599803-22.3457002599803
2172623.54800882711792.45199117288206
218107.496480088885282.50351991111472
2192722.62156676264024.37843323735978
2201128.8284044450359-17.8284044450359
2212939.488327030508-10.488327030508
2222544.8793770237806-19.8793770237806
2235541.771844838506113.2281551614939
2242329.4390299552823-6.43902995528235
225514.7742067184316-9.77420671843161
2264334.86103004895868.13896995104142
2272313.73523967049819.26476032950188
2283425.63055313235088.36944686764921
2293624.040421427808211.9595785721918
2303547.6216263002792-12.6216263002792
231017.610744779216-17.610744779216
2323731.38052663491675.61947336508329
2332837.7510863464075-9.7510863464075
2341621.644428563166-5.644428563166
2352628.8580294467112-2.8580294467112
2363824.116438658376513.8835613416235
2372353.8295194388134-30.8295194388134
2382223.9349285481885-1.93492854818846
2393028.26695248963781.7330475103622
2401618.6228744383945-2.62287443839448
2411833.3622465993383-15.3622465993383
2422846.6371526057507-18.6371526057507
2433219.583950619048212.4160493809518
2442117.84609331229973.15390668770034
2452324.3686387709749-1.36863877097485
2462935.4665444379709-6.46654443797092
2475040.53040229954949.46959770045063
2481226.1443734522047-14.1443734522047
2492121.2548302471956-0.254830247195628
250188.908242519002939.09175748099707
2512748.5855646274002-21.5855646274002
2524137.2016860520923.79831394790799
25313-4.8022693779554817.8022693779555
2541231.6074760363053-19.6074760363053
2552136.0984672626249-15.0984672626249
25684.375315379913453.62468462008655
2572612.78883287525713.211167124743
2582728.4664310852771-1.46643108527709
2591320.2264556098263-7.22645560982633
2601610.36134990114525.63865009885483
261214.8522452349577-12.8522452349577
2624224.880645419780917.1193545802191
26359.93541483109755-4.93541483109755
2643724.644084482499312.3559155175007
2651718.8452019445542-1.84520194455418
2663830.64582674673587.35417325326419
2673727.38909682076849.61090317923159
2682914.577224757010414.4227752429896
2693234.1768329943731-2.17683299437311
2703532.64521123875342.35478876124657
2711737.94340894254-20.94340894254
2722025.0154471667282-5.01544716672819
27372.875037926706744.12496207329326
2744633.692994899221612.3070051007784
2752419.70064929151344.29935070848657
2764029.131467398654510.8685326013455
277315.7789795067643-12.7789795067643
27810-4.0491840689906614.0491840689907
2793732.53259354074294.46740645925712
2801730.8959916646873-13.8959916646873
2812832.3750169807377-4.37501698073765
2821930.1553973383782-11.1553973383782
2832930.0401129152814-1.04011291528141
28484.168187148593793.8318128514062
2851024.4393545847033-14.4393545847033
2861535.4739262270503-20.4739262270503
2871522.1071433921718-7.10714339217176
2882823.87533734570124.12466265429882
2891731.536580068029-14.536580068029






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.3336574455995090.6673148911990170.666342554400491
120.7425131827841220.5149736344317560.257486817215878
130.678971195388670.6420576092226610.32102880461133
140.5661159570228660.8677680859542690.433884042977134
150.4592813818458410.9185627636916810.540718618154159
160.3540934168100710.7081868336201430.645906583189929
170.2673248580523020.5346497161046040.732675141947698
180.3947196612688620.7894393225377230.605280338731138
190.3464286821881030.6928573643762070.653571317811897
200.6365546309787440.7268907380425120.363445369021256
210.7176456633907470.5647086732185050.282354336609253
220.6488988138421110.7022023723157790.351101186157889
230.7284534892228280.5430930215543440.271546510777172
240.6686754838982860.6626490322034290.331324516101714
250.6300621197210150.739875760557970.369937880278985
260.6710362571747580.6579274856504840.328963742825242
270.636502906184520.7269941876309610.36349709381548
280.5750905769471320.8498188461057360.424909423052868
290.5744940404126140.8510119191747730.425505959587386
300.5248592146257440.9502815707485110.475140785374256
310.4756381642059380.9512763284118770.524361835794062
320.4316125837508990.8632251675017980.568387416249101
330.6949511770607890.6100976458784230.305048822939211
340.6633760265845470.6732479468309070.336623973415453
350.6113107402500720.7773785194998560.388689259749928
360.5573781988009680.8852436023980640.442621801199032
370.501212759057080.9975744818858410.49878724094292
380.5078299449232790.9843401101534430.492170055076721
390.7103506385179080.5792987229641840.289649361482092
400.6896805682765780.6206388634468430.310319431723422
410.6483991364491010.7032017271017990.351600863550899
420.598982872796560.8020342544068810.40101712720344
430.5781832465997420.8436335068005160.421816753400258
440.5285635211163350.9428729577673290.471436478883665
450.4858689865098390.9717379730196770.514131013490161
460.4408230539613210.8816461079226430.559176946038679
470.4693755408622050.938751081724410.530624459137795
480.4222172285439610.8444344570879220.577782771456039
490.4037995836890580.8075991673781150.596200416310942
500.6119909679926610.7760180640146770.388009032007339
510.6152994365372030.7694011269255950.384700563462797
520.6013057169890450.7973885660219110.398694283010955
530.5563879164313080.8872241671373840.443612083568692
540.5174300254107880.9651399491784240.482569974589212
550.5094376017104670.9811247965790670.490562398289533
560.4692543091434750.9385086182869490.530745690856525
570.4310031463649770.8620062927299550.568996853635023
580.3966982318982740.7933964637965480.603301768101726
590.3586801988888640.7173603977777280.641319801111136
600.3205321278770570.6410642557541130.679467872122943
610.3051168605992990.6102337211985980.694883139400701
620.2743391717894990.5486783435789990.7256608282105
630.3319772506541510.6639545013083030.668022749345849
640.2983414352619790.5966828705239590.701658564738021
650.3035107087152290.6070214174304580.696489291284771
660.3574865316044960.7149730632089930.642513468395504
670.336565704277870.673131408555740.66343429572213
680.3066650997985160.6133301995970310.693334900201484
690.4074038061313930.8148076122627860.592596193868607
700.4265511902891710.8531023805783420.573448809710829
710.4575753561517680.9151507123035360.542424643848232
720.502692368972290.9946152620554190.49730763102771
730.4686916720349450.9373833440698910.531308327965055
740.4508152736608960.9016305473217920.549184726339104
750.4119430336992740.8238860673985490.588056966300726
760.5706043700168140.8587912599663710.429395629983186
770.9424792491822310.1150415016355380.0575207508177692
780.9311898680221110.1376202639557790.0688101319778894
790.9221558584780510.1556882830438970.0778441415219487
800.9216252273744410.1567495452511190.0783747726255594
810.9091377435966660.1817245128066680.090862256403334
820.9400753724500620.1198492550998760.0599246275499378
830.9475658392322050.104868321535590.0524341607677948
840.9369380080693610.1261239838612780.0630619919306389
850.9246457991086490.1507084017827020.0753542008913512
860.9503741681705140.09925166365897270.0496258318294864
870.9420298171913090.1159403656173830.0579701828086915
880.9307859502715160.1384280994569690.0692140497284845
890.9243850862959560.1512298274080870.0756149137040437
900.9301394123309810.1397211753380380.069860587669019
910.9291169945429090.1417660109141820.0708830054570908
920.9378045369694910.1243909260610180.0621954630305091
930.9413922267925210.1172155464149580.0586077732074789
940.939025620024120.121948759951760.0609743799758798
950.9274345317041010.1451309365917980.0725654682958989
960.9333329415143020.1333341169713970.0666670584856983
970.9495035068617130.1009929862765750.0504964931382873
980.9814872835085480.03702543298290320.0185127164914516
990.9813224790733450.03735504185331090.0186775209266554
1000.9950012583708810.009997483258237830.00499874162911891
1010.9949176065790.01016478684200050.00508239342100024
1020.9934688126707610.01306237465847780.0065311873292389
1030.9938471124282280.01230577514354320.0061528875717716
1040.9921499356751650.01570012864967040.0078500643248352
1050.9911980052891530.01760398942169370.00880199471084686
1060.9971355583507940.005728883298412620.00286444164920631
1070.9963030740482240.00739385190355110.00369692595177555
1080.9954455476496570.009108904700685380.00455445235034269
1090.9973403740094760.005319251981047770.00265962599052388
1100.9966010372595280.006797925480944060.00339896274047203
1110.9974353550277470.005129289944505590.0025646449722528
1120.997263154117530.005473691764940880.00273684588247044
1130.9966070877546060.006785824490788380.00339291224539419
1140.9966956233992310.00660875320153850.00330437660076925
1150.9964142932333290.007171413533342660.00358570676667133
1160.9971071203003890.005785759399221280.00289287969961064
1170.9997497844410380.0005004311179229890.000250215558961494
1180.99976134213490.0004773157302001370.000238657865100069
1190.9997314124643750.0005371750712499020.000268587535624951
1200.9996450094333460.0007099811333076630.000354990566653832
1210.9995220761722340.0009558476555314110.000477923827765705
1220.9993640089098720.001271982180256010.000635991090128006
1230.9991517159374640.001696568125071170.000848284062535585
1240.9995636968317430.0008726063365143050.000436303168257153
1250.9996435865134810.0007128269730381790.00035641348651909
1260.9995308086780130.0009383826439743060.000469191321987153
1270.9993669630068920.001266073986216440.000633036993108221
1280.9992646366728530.001470726654294540.000735363327147268
1290.9995765113611730.0008469772776549880.000423488638827494
1300.9994809688552310.001038062289538570.000519031144769286
1310.9993444139530270.001311172093945310.000655586046972654
1320.9997610984785470.0004778030429066670.000238901521453333
1330.9996987134255590.0006025731488818480.000301286574440924
1340.9996282869840720.000743426031856520.00037171301592826
1350.9995221694532160.0009556610935681260.000477830546784063
1360.9994215599502990.001156880099402610.000578440049701307
1370.99923714976360.001525700472800440.000762850236400219
1380.9990415012969880.00191699740602430.000958498703012152
1390.9987437806469450.002512438706110950.00125621935305547
1400.9984825984115920.003034803176815850.00151740158840792
1410.9980678737316630.003864252536673980.00193212626833699
1420.9976306142541760.004738771491649020.00236938574582451
1430.9981713461495480.003657307700903090.00182865385045154
1440.9977247922988690.00455041540226210.00227520770113105
1450.9974155934652080.00516881306958430.00258440653479215
1460.9968725477589660.006254904482067520.00312745224103376
1470.9970732343181570.005853531363686360.00292676568184318
1480.9971808832287210.005638233542557810.0028191167712789
1490.9966293932426820.006741213514635690.00337060675731784
1500.9967483016728690.006503396654262030.00325169832713101
1510.9960408523249860.007918295350027270.00395914767501364
1520.9978850664683310.004229867063338780.00211493353166939
1530.9973948133931780.00521037321364470.00260518660682235
1540.9969969202993490.006006159401300910.00300307970065045
1550.9989839533536860.002032093292628440.00101604664631422
1560.9987709359935770.00245812801284690.00122906400642345
1570.9984062887219620.00318742255607620.0015937112780381
1580.997895209736620.004209580526759220.00210479026337961
1590.9976351403489740.004729719302052290.00236485965102614
1600.9969708244906510.006058351018697750.00302917550934887
1610.9981849902447520.003630019510495470.00181500975524774
1620.9986200687374490.002759862525101160.00137993126255058
1630.9981996917058070.003600616588386850.00180030829419343
1640.9978167730326730.004366453934653530.00218322696732677
1650.9973861074333670.005227785133265530.00261389256663277
1660.9971996312422750.005600737515449110.00280036875772455
1670.9966321447303910.006735710539217460.00336785526960873
1680.9981974346002060.003605130799587210.00180256539979361
1690.9978512793604380.004297441279123780.00214872063956189
1700.9988695806846150.002260838630769620.00113041931538481
1710.9988438958890980.002312208221803930.00115610411090197
1720.9996337764585050.0007324470829891390.00036622354149457
1730.999764567734040.0004708645319198450.000235432265959922
1740.9998035599029350.0003928801941303130.000196440097065156
1750.9999999985211682.95766327880339e-091.4788316394017e-09
1760.9999999987948152.4103692687443e-091.20518463437215e-09
1770.9999999986327992.73440135504535e-091.36720067752268e-09
1780.9999999978833124.2333768826784e-092.1166884413392e-09
1790.9999999999996347.32912310696897e-133.66456155348448e-13
1800.9999999999994511.09867881971342e-125.4933940985671e-13
1810.9999999999990341.93247020787141e-129.66235103935707e-13
1820.9999999999996037.94853407437504e-133.97426703718752e-13
1830.9999999999992071.58560079557301e-127.92800397786507e-13
1840.9999999999989472.10517192773178e-121.05258596386589e-12
1850.999999999999975.99877810347119e-142.9993890517356e-14
1860.9999999999999391.21561048178039e-136.07805240890197e-14
1870.9999999999998722.56845818872228e-131.28422909436114e-13
1880.9999999999997844.32798665708669e-132.16399332854335e-13
1890.9999999999996966.07799414095079e-133.0389970704754e-13
1900.9999999999996327.36649151204081e-133.68324575602041e-13
1910.9999999999994571.08546112905797e-125.42730564528983e-13
1920.9999999999994091.1825561142623e-125.91278057131151e-13
1930.9999999999995059.90708177445981e-134.95354088722991e-13
1940.9999999999993161.36826988902085e-126.84134944510426e-13
1950.9999999999995359.30719688046983e-134.65359844023491e-13
1960.9999999999997964.07523350273855e-132.03761675136928e-13
1970.9999999999997235.5342078963028e-132.7671039481514e-13
1980.9999999999994171.16656265953452e-125.8328132976726e-13
1990.9999999999988352.32957147652431e-121.16478573826216e-12
2000.9999999999985152.97032616749947e-121.48516308374974e-12
2010.9999999999969936.0145662944241e-123.00728314721205e-12
2020.9999999999942381.15248215837061e-115.76241079185304e-12
2030.99999999998872.25998916624444e-111.12999458312222e-11
2040.9999999999822013.55982555392134e-111.77991277696067e-11
2050.9999999999649277.01459045354188e-113.50729522677094e-11
2060.9999999999472451.05509521671898e-105.2754760835949e-11
2070.9999999998945622.10875603761293e-101.05437801880646e-10
2080.9999999998621372.75725829288365e-101.37862914644183e-10
2090.9999999997438095.12382453484856e-102.56191226742428e-10
2100.9999999997014795.97042915114157e-102.98521457557078e-10
2110.9999999994065731.18685305189959e-095.93426525949795e-10
2120.9999999988621382.27572391677933e-091.13786195838967e-09
2130.9999999977702784.45944440493823e-092.22972220246911e-09
2140.9999999973685985.26280367986853e-092.63140183993427e-09
2150.9999999986420432.7159129487738e-091.3579564743869e-09
2160.9999999990429581.91408486827323e-099.57042434136616e-10
2170.9999999980639443.87211172176599e-091.93605586088299e-09
2180.9999999968699726.26005652221778e-093.13002826110889e-09
2190.9999999947302291.05395413454421e-085.26977067272106e-09
2200.9999999927675231.44649536870421e-087.23247684352104e-09
2210.9999999864802442.70395112006564e-081.35197556003282e-08
2220.9999999900622441.98755112000001e-089.93775560000005e-09
2230.9999999858842022.82315954585688e-081.41157977292844e-08
2240.9999999724129055.51741897481498e-082.75870948740749e-08
2250.9999999619616567.60766885170273e-083.80383442585137e-08
2260.9999999346667991.30666400958194e-076.5333200479097e-08
2270.9999998791312482.41737503791017e-071.20868751895508e-07
2280.9999998561729482.87654104778179e-071.43827052389089e-07
2290.9999998014649053.97070190559189e-071.98535095279595e-07
2300.9999996349965877.30006826488714e-073.65003413244357e-07
2310.9999998526278922.94744215321782e-071.47372107660891e-07
2320.9999997737339794.52532042013556e-072.26266021006778e-07
2330.9999995666066218.66786757572562e-074.33393378786281e-07
2340.9999993307587111.33848257798171e-066.69241288990856e-07
2350.9999987157763862.56844722826922e-061.28422361413461e-06
2360.9999989755873372.04882532594553e-061.02441266297277e-06
2370.9999989810295442.03794091122153e-061.01897045561076e-06
2380.9999980192209623.96155807585222e-061.98077903792611e-06
2390.9999963582766617.28344667752601e-063.64172333876301e-06
2400.9999931183787941.37632424126534e-056.88162120632671e-06
2410.9999914982672851.70034654292226e-058.50173271461131e-06
2420.9999880602878112.38794243786856e-051.19397121893428e-05
2430.9999863124031712.73751936569861e-051.3687596828493e-05
2440.999975056950814.98860983794047e-052.49430491897024e-05
2450.9999541434492219.17131015571571e-054.58565507785786e-05
2460.9999170886664630.0001658226670741378.29113335370683e-05
2470.9999333687689740.0001332624620528886.6631231026444e-05
2480.9999275436690850.0001449126618303037.24563309151513e-05
2490.9998666305783220.0002667388433567290.000133369421678365
2500.9997972813794150.0004054372411690380.000202718620584519
2510.9997611406703290.0004777186593421790.000238859329671089
2520.9996389600748840.0007220798502324970.000361039925116248
2530.9994447617652490.001110476469501410.000555238234750706
2540.9996557827079530.0006884345840948770.000344217292047438
2550.9994267132930690.001146573413861290.000573286706930646
2560.9989664306971230.002067138605754220.00103356930287711
2570.99909922826140.00180154347720070.000900771738600348
2580.9983969280411370.003206143917725560.00160307195886278
2590.9980280724331550.003943855133690310.00197192756684515
2600.996550749445750.00689850110850020.0034492505542501
2610.9960253081463610.007949383707277970.00397469185363898
2620.9961794333297960.007641133340408730.00382056667020436
2630.994192301875450.01161539624910070.00580769812455035
2640.9962764814379770.007447037124045560.00372351856202278
2650.9934512220816390.01309755583672180.00654877791836092
2660.9934657320850150.01306853582997030.00653426791498516
2670.9927602857564870.01447942848702690.00723971424351347
2680.9898870603349090.0202258793301810.0101129396650905
2690.981098280788160.03780343842368080.0189017192118404
2700.9868099708286310.02638005834273860.0131900291713693
2710.997328431668130.005343136663739310.00267156833186966
2720.9936270255582950.01274594888341010.00637297444170506
2730.9965261222514650.006947755497070880.00347387774853544
2740.9922748153613580.01545036927728410.00772518463864206
2750.9922174696326980.01556506073460480.00778253036730242
2760.9911667798936380.01766644021272370.00883322010636183
2770.9860514788168390.02789704236632130.0139485211831606
2780.995397395465480.009205209069039550.00460260453451977

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
11 & 0.333657445599509 & 0.667314891199017 & 0.666342554400491 \tabularnewline
12 & 0.742513182784122 & 0.514973634431756 & 0.257486817215878 \tabularnewline
13 & 0.67897119538867 & 0.642057609222661 & 0.32102880461133 \tabularnewline
14 & 0.566115957022866 & 0.867768085954269 & 0.433884042977134 \tabularnewline
15 & 0.459281381845841 & 0.918562763691681 & 0.540718618154159 \tabularnewline
16 & 0.354093416810071 & 0.708186833620143 & 0.645906583189929 \tabularnewline
17 & 0.267324858052302 & 0.534649716104604 & 0.732675141947698 \tabularnewline
18 & 0.394719661268862 & 0.789439322537723 & 0.605280338731138 \tabularnewline
19 & 0.346428682188103 & 0.692857364376207 & 0.653571317811897 \tabularnewline
20 & 0.636554630978744 & 0.726890738042512 & 0.363445369021256 \tabularnewline
21 & 0.717645663390747 & 0.564708673218505 & 0.282354336609253 \tabularnewline
22 & 0.648898813842111 & 0.702202372315779 & 0.351101186157889 \tabularnewline
23 & 0.728453489222828 & 0.543093021554344 & 0.271546510777172 \tabularnewline
24 & 0.668675483898286 & 0.662649032203429 & 0.331324516101714 \tabularnewline
25 & 0.630062119721015 & 0.73987576055797 & 0.369937880278985 \tabularnewline
26 & 0.671036257174758 & 0.657927485650484 & 0.328963742825242 \tabularnewline
27 & 0.63650290618452 & 0.726994187630961 & 0.36349709381548 \tabularnewline
28 & 0.575090576947132 & 0.849818846105736 & 0.424909423052868 \tabularnewline
29 & 0.574494040412614 & 0.851011919174773 & 0.425505959587386 \tabularnewline
30 & 0.524859214625744 & 0.950281570748511 & 0.475140785374256 \tabularnewline
31 & 0.475638164205938 & 0.951276328411877 & 0.524361835794062 \tabularnewline
32 & 0.431612583750899 & 0.863225167501798 & 0.568387416249101 \tabularnewline
33 & 0.694951177060789 & 0.610097645878423 & 0.305048822939211 \tabularnewline
34 & 0.663376026584547 & 0.673247946830907 & 0.336623973415453 \tabularnewline
35 & 0.611310740250072 & 0.777378519499856 & 0.388689259749928 \tabularnewline
36 & 0.557378198800968 & 0.885243602398064 & 0.442621801199032 \tabularnewline
37 & 0.50121275905708 & 0.997574481885841 & 0.49878724094292 \tabularnewline
38 & 0.507829944923279 & 0.984340110153443 & 0.492170055076721 \tabularnewline
39 & 0.710350638517908 & 0.579298722964184 & 0.289649361482092 \tabularnewline
40 & 0.689680568276578 & 0.620638863446843 & 0.310319431723422 \tabularnewline
41 & 0.648399136449101 & 0.703201727101799 & 0.351600863550899 \tabularnewline
42 & 0.59898287279656 & 0.802034254406881 & 0.40101712720344 \tabularnewline
43 & 0.578183246599742 & 0.843633506800516 & 0.421816753400258 \tabularnewline
44 & 0.528563521116335 & 0.942872957767329 & 0.471436478883665 \tabularnewline
45 & 0.485868986509839 & 0.971737973019677 & 0.514131013490161 \tabularnewline
46 & 0.440823053961321 & 0.881646107922643 & 0.559176946038679 \tabularnewline
47 & 0.469375540862205 & 0.93875108172441 & 0.530624459137795 \tabularnewline
48 & 0.422217228543961 & 0.844434457087922 & 0.577782771456039 \tabularnewline
49 & 0.403799583689058 & 0.807599167378115 & 0.596200416310942 \tabularnewline
50 & 0.611990967992661 & 0.776018064014677 & 0.388009032007339 \tabularnewline
51 & 0.615299436537203 & 0.769401126925595 & 0.384700563462797 \tabularnewline
52 & 0.601305716989045 & 0.797388566021911 & 0.398694283010955 \tabularnewline
53 & 0.556387916431308 & 0.887224167137384 & 0.443612083568692 \tabularnewline
54 & 0.517430025410788 & 0.965139949178424 & 0.482569974589212 \tabularnewline
55 & 0.509437601710467 & 0.981124796579067 & 0.490562398289533 \tabularnewline
56 & 0.469254309143475 & 0.938508618286949 & 0.530745690856525 \tabularnewline
57 & 0.431003146364977 & 0.862006292729955 & 0.568996853635023 \tabularnewline
58 & 0.396698231898274 & 0.793396463796548 & 0.603301768101726 \tabularnewline
59 & 0.358680198888864 & 0.717360397777728 & 0.641319801111136 \tabularnewline
60 & 0.320532127877057 & 0.641064255754113 & 0.679467872122943 \tabularnewline
61 & 0.305116860599299 & 0.610233721198598 & 0.694883139400701 \tabularnewline
62 & 0.274339171789499 & 0.548678343578999 & 0.7256608282105 \tabularnewline
63 & 0.331977250654151 & 0.663954501308303 & 0.668022749345849 \tabularnewline
64 & 0.298341435261979 & 0.596682870523959 & 0.701658564738021 \tabularnewline
65 & 0.303510708715229 & 0.607021417430458 & 0.696489291284771 \tabularnewline
66 & 0.357486531604496 & 0.714973063208993 & 0.642513468395504 \tabularnewline
67 & 0.33656570427787 & 0.67313140855574 & 0.66343429572213 \tabularnewline
68 & 0.306665099798516 & 0.613330199597031 & 0.693334900201484 \tabularnewline
69 & 0.407403806131393 & 0.814807612262786 & 0.592596193868607 \tabularnewline
70 & 0.426551190289171 & 0.853102380578342 & 0.573448809710829 \tabularnewline
71 & 0.457575356151768 & 0.915150712303536 & 0.542424643848232 \tabularnewline
72 & 0.50269236897229 & 0.994615262055419 & 0.49730763102771 \tabularnewline
73 & 0.468691672034945 & 0.937383344069891 & 0.531308327965055 \tabularnewline
74 & 0.450815273660896 & 0.901630547321792 & 0.549184726339104 \tabularnewline
75 & 0.411943033699274 & 0.823886067398549 & 0.588056966300726 \tabularnewline
76 & 0.570604370016814 & 0.858791259966371 & 0.429395629983186 \tabularnewline
77 & 0.942479249182231 & 0.115041501635538 & 0.0575207508177692 \tabularnewline
78 & 0.931189868022111 & 0.137620263955779 & 0.0688101319778894 \tabularnewline
79 & 0.922155858478051 & 0.155688283043897 & 0.0778441415219487 \tabularnewline
80 & 0.921625227374441 & 0.156749545251119 & 0.0783747726255594 \tabularnewline
81 & 0.909137743596666 & 0.181724512806668 & 0.090862256403334 \tabularnewline
82 & 0.940075372450062 & 0.119849255099876 & 0.0599246275499378 \tabularnewline
83 & 0.947565839232205 & 0.10486832153559 & 0.0524341607677948 \tabularnewline
84 & 0.936938008069361 & 0.126123983861278 & 0.0630619919306389 \tabularnewline
85 & 0.924645799108649 & 0.150708401782702 & 0.0753542008913512 \tabularnewline
86 & 0.950374168170514 & 0.0992516636589727 & 0.0496258318294864 \tabularnewline
87 & 0.942029817191309 & 0.115940365617383 & 0.0579701828086915 \tabularnewline
88 & 0.930785950271516 & 0.138428099456969 & 0.0692140497284845 \tabularnewline
89 & 0.924385086295956 & 0.151229827408087 & 0.0756149137040437 \tabularnewline
90 & 0.930139412330981 & 0.139721175338038 & 0.069860587669019 \tabularnewline
91 & 0.929116994542909 & 0.141766010914182 & 0.0708830054570908 \tabularnewline
92 & 0.937804536969491 & 0.124390926061018 & 0.0621954630305091 \tabularnewline
93 & 0.941392226792521 & 0.117215546414958 & 0.0586077732074789 \tabularnewline
94 & 0.93902562002412 & 0.12194875995176 & 0.0609743799758798 \tabularnewline
95 & 0.927434531704101 & 0.145130936591798 & 0.0725654682958989 \tabularnewline
96 & 0.933332941514302 & 0.133334116971397 & 0.0666670584856983 \tabularnewline
97 & 0.949503506861713 & 0.100992986276575 & 0.0504964931382873 \tabularnewline
98 & 0.981487283508548 & 0.0370254329829032 & 0.0185127164914516 \tabularnewline
99 & 0.981322479073345 & 0.0373550418533109 & 0.0186775209266554 \tabularnewline
100 & 0.995001258370881 & 0.00999748325823783 & 0.00499874162911891 \tabularnewline
101 & 0.994917606579 & 0.0101647868420005 & 0.00508239342100024 \tabularnewline
102 & 0.993468812670761 & 0.0130623746584778 & 0.0065311873292389 \tabularnewline
103 & 0.993847112428228 & 0.0123057751435432 & 0.0061528875717716 \tabularnewline
104 & 0.992149935675165 & 0.0157001286496704 & 0.0078500643248352 \tabularnewline
105 & 0.991198005289153 & 0.0176039894216937 & 0.00880199471084686 \tabularnewline
106 & 0.997135558350794 & 0.00572888329841262 & 0.00286444164920631 \tabularnewline
107 & 0.996303074048224 & 0.0073938519035511 & 0.00369692595177555 \tabularnewline
108 & 0.995445547649657 & 0.00910890470068538 & 0.00455445235034269 \tabularnewline
109 & 0.997340374009476 & 0.00531925198104777 & 0.00265962599052388 \tabularnewline
110 & 0.996601037259528 & 0.00679792548094406 & 0.00339896274047203 \tabularnewline
111 & 0.997435355027747 & 0.00512928994450559 & 0.0025646449722528 \tabularnewline
112 & 0.99726315411753 & 0.00547369176494088 & 0.00273684588247044 \tabularnewline
113 & 0.996607087754606 & 0.00678582449078838 & 0.00339291224539419 \tabularnewline
114 & 0.996695623399231 & 0.0066087532015385 & 0.00330437660076925 \tabularnewline
115 & 0.996414293233329 & 0.00717141353334266 & 0.00358570676667133 \tabularnewline
116 & 0.997107120300389 & 0.00578575939922128 & 0.00289287969961064 \tabularnewline
117 & 0.999749784441038 & 0.000500431117922989 & 0.000250215558961494 \tabularnewline
118 & 0.9997613421349 & 0.000477315730200137 & 0.000238657865100069 \tabularnewline
119 & 0.999731412464375 & 0.000537175071249902 & 0.000268587535624951 \tabularnewline
120 & 0.999645009433346 & 0.000709981133307663 & 0.000354990566653832 \tabularnewline
121 & 0.999522076172234 & 0.000955847655531411 & 0.000477923827765705 \tabularnewline
122 & 0.999364008909872 & 0.00127198218025601 & 0.000635991090128006 \tabularnewline
123 & 0.999151715937464 & 0.00169656812507117 & 0.000848284062535585 \tabularnewline
124 & 0.999563696831743 & 0.000872606336514305 & 0.000436303168257153 \tabularnewline
125 & 0.999643586513481 & 0.000712826973038179 & 0.00035641348651909 \tabularnewline
126 & 0.999530808678013 & 0.000938382643974306 & 0.000469191321987153 \tabularnewline
127 & 0.999366963006892 & 0.00126607398621644 & 0.000633036993108221 \tabularnewline
128 & 0.999264636672853 & 0.00147072665429454 & 0.000735363327147268 \tabularnewline
129 & 0.999576511361173 & 0.000846977277654988 & 0.000423488638827494 \tabularnewline
130 & 0.999480968855231 & 0.00103806228953857 & 0.000519031144769286 \tabularnewline
131 & 0.999344413953027 & 0.00131117209394531 & 0.000655586046972654 \tabularnewline
132 & 0.999761098478547 & 0.000477803042906667 & 0.000238901521453333 \tabularnewline
133 & 0.999698713425559 & 0.000602573148881848 & 0.000301286574440924 \tabularnewline
134 & 0.999628286984072 & 0.00074342603185652 & 0.00037171301592826 \tabularnewline
135 & 0.999522169453216 & 0.000955661093568126 & 0.000477830546784063 \tabularnewline
136 & 0.999421559950299 & 0.00115688009940261 & 0.000578440049701307 \tabularnewline
137 & 0.9992371497636 & 0.00152570047280044 & 0.000762850236400219 \tabularnewline
138 & 0.999041501296988 & 0.0019169974060243 & 0.000958498703012152 \tabularnewline
139 & 0.998743780646945 & 0.00251243870611095 & 0.00125621935305547 \tabularnewline
140 & 0.998482598411592 & 0.00303480317681585 & 0.00151740158840792 \tabularnewline
141 & 0.998067873731663 & 0.00386425253667398 & 0.00193212626833699 \tabularnewline
142 & 0.997630614254176 & 0.00473877149164902 & 0.00236938574582451 \tabularnewline
143 & 0.998171346149548 & 0.00365730770090309 & 0.00182865385045154 \tabularnewline
144 & 0.997724792298869 & 0.0045504154022621 & 0.00227520770113105 \tabularnewline
145 & 0.997415593465208 & 0.0051688130695843 & 0.00258440653479215 \tabularnewline
146 & 0.996872547758966 & 0.00625490448206752 & 0.00312745224103376 \tabularnewline
147 & 0.997073234318157 & 0.00585353136368636 & 0.00292676568184318 \tabularnewline
148 & 0.997180883228721 & 0.00563823354255781 & 0.0028191167712789 \tabularnewline
149 & 0.996629393242682 & 0.00674121351463569 & 0.00337060675731784 \tabularnewline
150 & 0.996748301672869 & 0.00650339665426203 & 0.00325169832713101 \tabularnewline
151 & 0.996040852324986 & 0.00791829535002727 & 0.00395914767501364 \tabularnewline
152 & 0.997885066468331 & 0.00422986706333878 & 0.00211493353166939 \tabularnewline
153 & 0.997394813393178 & 0.0052103732136447 & 0.00260518660682235 \tabularnewline
154 & 0.996996920299349 & 0.00600615940130091 & 0.00300307970065045 \tabularnewline
155 & 0.998983953353686 & 0.00203209329262844 & 0.00101604664631422 \tabularnewline
156 & 0.998770935993577 & 0.0024581280128469 & 0.00122906400642345 \tabularnewline
157 & 0.998406288721962 & 0.0031874225560762 & 0.0015937112780381 \tabularnewline
158 & 0.99789520973662 & 0.00420958052675922 & 0.00210479026337961 \tabularnewline
159 & 0.997635140348974 & 0.00472971930205229 & 0.00236485965102614 \tabularnewline
160 & 0.996970824490651 & 0.00605835101869775 & 0.00302917550934887 \tabularnewline
161 & 0.998184990244752 & 0.00363001951049547 & 0.00181500975524774 \tabularnewline
162 & 0.998620068737449 & 0.00275986252510116 & 0.00137993126255058 \tabularnewline
163 & 0.998199691705807 & 0.00360061658838685 & 0.00180030829419343 \tabularnewline
164 & 0.997816773032673 & 0.00436645393465353 & 0.00218322696732677 \tabularnewline
165 & 0.997386107433367 & 0.00522778513326553 & 0.00261389256663277 \tabularnewline
166 & 0.997199631242275 & 0.00560073751544911 & 0.00280036875772455 \tabularnewline
167 & 0.996632144730391 & 0.00673571053921746 & 0.00336785526960873 \tabularnewline
168 & 0.998197434600206 & 0.00360513079958721 & 0.00180256539979361 \tabularnewline
169 & 0.997851279360438 & 0.00429744127912378 & 0.00214872063956189 \tabularnewline
170 & 0.998869580684615 & 0.00226083863076962 & 0.00113041931538481 \tabularnewline
171 & 0.998843895889098 & 0.00231220822180393 & 0.00115610411090197 \tabularnewline
172 & 0.999633776458505 & 0.000732447082989139 & 0.00036622354149457 \tabularnewline
173 & 0.99976456773404 & 0.000470864531919845 & 0.000235432265959922 \tabularnewline
174 & 0.999803559902935 & 0.000392880194130313 & 0.000196440097065156 \tabularnewline
175 & 0.999999998521168 & 2.95766327880339e-09 & 1.4788316394017e-09 \tabularnewline
176 & 0.999999998794815 & 2.4103692687443e-09 & 1.20518463437215e-09 \tabularnewline
177 & 0.999999998632799 & 2.73440135504535e-09 & 1.36720067752268e-09 \tabularnewline
178 & 0.999999997883312 & 4.2333768826784e-09 & 2.1166884413392e-09 \tabularnewline
179 & 0.999999999999634 & 7.32912310696897e-13 & 3.66456155348448e-13 \tabularnewline
180 & 0.999999999999451 & 1.09867881971342e-12 & 5.4933940985671e-13 \tabularnewline
181 & 0.999999999999034 & 1.93247020787141e-12 & 9.66235103935707e-13 \tabularnewline
182 & 0.999999999999603 & 7.94853407437504e-13 & 3.97426703718752e-13 \tabularnewline
183 & 0.999999999999207 & 1.58560079557301e-12 & 7.92800397786507e-13 \tabularnewline
184 & 0.999999999998947 & 2.10517192773178e-12 & 1.05258596386589e-12 \tabularnewline
185 & 0.99999999999997 & 5.99877810347119e-14 & 2.9993890517356e-14 \tabularnewline
186 & 0.999999999999939 & 1.21561048178039e-13 & 6.07805240890197e-14 \tabularnewline
187 & 0.999999999999872 & 2.56845818872228e-13 & 1.28422909436114e-13 \tabularnewline
188 & 0.999999999999784 & 4.32798665708669e-13 & 2.16399332854335e-13 \tabularnewline
189 & 0.999999999999696 & 6.07799414095079e-13 & 3.0389970704754e-13 \tabularnewline
190 & 0.999999999999632 & 7.36649151204081e-13 & 3.68324575602041e-13 \tabularnewline
191 & 0.999999999999457 & 1.08546112905797e-12 & 5.42730564528983e-13 \tabularnewline
192 & 0.999999999999409 & 1.1825561142623e-12 & 5.91278057131151e-13 \tabularnewline
193 & 0.999999999999505 & 9.90708177445981e-13 & 4.95354088722991e-13 \tabularnewline
194 & 0.999999999999316 & 1.36826988902085e-12 & 6.84134944510426e-13 \tabularnewline
195 & 0.999999999999535 & 9.30719688046983e-13 & 4.65359844023491e-13 \tabularnewline
196 & 0.999999999999796 & 4.07523350273855e-13 & 2.03761675136928e-13 \tabularnewline
197 & 0.999999999999723 & 5.5342078963028e-13 & 2.7671039481514e-13 \tabularnewline
198 & 0.999999999999417 & 1.16656265953452e-12 & 5.8328132976726e-13 \tabularnewline
199 & 0.999999999998835 & 2.32957147652431e-12 & 1.16478573826216e-12 \tabularnewline
200 & 0.999999999998515 & 2.97032616749947e-12 & 1.48516308374974e-12 \tabularnewline
201 & 0.999999999996993 & 6.0145662944241e-12 & 3.00728314721205e-12 \tabularnewline
202 & 0.999999999994238 & 1.15248215837061e-11 & 5.76241079185304e-12 \tabularnewline
203 & 0.9999999999887 & 2.25998916624444e-11 & 1.12999458312222e-11 \tabularnewline
204 & 0.999999999982201 & 3.55982555392134e-11 & 1.77991277696067e-11 \tabularnewline
205 & 0.999999999964927 & 7.01459045354188e-11 & 3.50729522677094e-11 \tabularnewline
206 & 0.999999999947245 & 1.05509521671898e-10 & 5.2754760835949e-11 \tabularnewline
207 & 0.999999999894562 & 2.10875603761293e-10 & 1.05437801880646e-10 \tabularnewline
208 & 0.999999999862137 & 2.75725829288365e-10 & 1.37862914644183e-10 \tabularnewline
209 & 0.999999999743809 & 5.12382453484856e-10 & 2.56191226742428e-10 \tabularnewline
210 & 0.999999999701479 & 5.97042915114157e-10 & 2.98521457557078e-10 \tabularnewline
211 & 0.999999999406573 & 1.18685305189959e-09 & 5.93426525949795e-10 \tabularnewline
212 & 0.999999998862138 & 2.27572391677933e-09 & 1.13786195838967e-09 \tabularnewline
213 & 0.999999997770278 & 4.45944440493823e-09 & 2.22972220246911e-09 \tabularnewline
214 & 0.999999997368598 & 5.26280367986853e-09 & 2.63140183993427e-09 \tabularnewline
215 & 0.999999998642043 & 2.7159129487738e-09 & 1.3579564743869e-09 \tabularnewline
216 & 0.999999999042958 & 1.91408486827323e-09 & 9.57042434136616e-10 \tabularnewline
217 & 0.999999998063944 & 3.87211172176599e-09 & 1.93605586088299e-09 \tabularnewline
218 & 0.999999996869972 & 6.26005652221778e-09 & 3.13002826110889e-09 \tabularnewline
219 & 0.999999994730229 & 1.05395413454421e-08 & 5.26977067272106e-09 \tabularnewline
220 & 0.999999992767523 & 1.44649536870421e-08 & 7.23247684352104e-09 \tabularnewline
221 & 0.999999986480244 & 2.70395112006564e-08 & 1.35197556003282e-08 \tabularnewline
222 & 0.999999990062244 & 1.98755112000001e-08 & 9.93775560000005e-09 \tabularnewline
223 & 0.999999985884202 & 2.82315954585688e-08 & 1.41157977292844e-08 \tabularnewline
224 & 0.999999972412905 & 5.51741897481498e-08 & 2.75870948740749e-08 \tabularnewline
225 & 0.999999961961656 & 7.60766885170273e-08 & 3.80383442585137e-08 \tabularnewline
226 & 0.999999934666799 & 1.30666400958194e-07 & 6.5333200479097e-08 \tabularnewline
227 & 0.999999879131248 & 2.41737503791017e-07 & 1.20868751895508e-07 \tabularnewline
228 & 0.999999856172948 & 2.87654104778179e-07 & 1.43827052389089e-07 \tabularnewline
229 & 0.999999801464905 & 3.97070190559189e-07 & 1.98535095279595e-07 \tabularnewline
230 & 0.999999634996587 & 7.30006826488714e-07 & 3.65003413244357e-07 \tabularnewline
231 & 0.999999852627892 & 2.94744215321782e-07 & 1.47372107660891e-07 \tabularnewline
232 & 0.999999773733979 & 4.52532042013556e-07 & 2.26266021006778e-07 \tabularnewline
233 & 0.999999566606621 & 8.66786757572562e-07 & 4.33393378786281e-07 \tabularnewline
234 & 0.999999330758711 & 1.33848257798171e-06 & 6.69241288990856e-07 \tabularnewline
235 & 0.999998715776386 & 2.56844722826922e-06 & 1.28422361413461e-06 \tabularnewline
236 & 0.999998975587337 & 2.04882532594553e-06 & 1.02441266297277e-06 \tabularnewline
237 & 0.999998981029544 & 2.03794091122153e-06 & 1.01897045561076e-06 \tabularnewline
238 & 0.999998019220962 & 3.96155807585222e-06 & 1.98077903792611e-06 \tabularnewline
239 & 0.999996358276661 & 7.28344667752601e-06 & 3.64172333876301e-06 \tabularnewline
240 & 0.999993118378794 & 1.37632424126534e-05 & 6.88162120632671e-06 \tabularnewline
241 & 0.999991498267285 & 1.70034654292226e-05 & 8.50173271461131e-06 \tabularnewline
242 & 0.999988060287811 & 2.38794243786856e-05 & 1.19397121893428e-05 \tabularnewline
243 & 0.999986312403171 & 2.73751936569861e-05 & 1.3687596828493e-05 \tabularnewline
244 & 0.99997505695081 & 4.98860983794047e-05 & 2.49430491897024e-05 \tabularnewline
245 & 0.999954143449221 & 9.17131015571571e-05 & 4.58565507785786e-05 \tabularnewline
246 & 0.999917088666463 & 0.000165822667074137 & 8.29113335370683e-05 \tabularnewline
247 & 0.999933368768974 & 0.000133262462052888 & 6.6631231026444e-05 \tabularnewline
248 & 0.999927543669085 & 0.000144912661830303 & 7.24563309151513e-05 \tabularnewline
249 & 0.999866630578322 & 0.000266738843356729 & 0.000133369421678365 \tabularnewline
250 & 0.999797281379415 & 0.000405437241169038 & 0.000202718620584519 \tabularnewline
251 & 0.999761140670329 & 0.000477718659342179 & 0.000238859329671089 \tabularnewline
252 & 0.999638960074884 & 0.000722079850232497 & 0.000361039925116248 \tabularnewline
253 & 0.999444761765249 & 0.00111047646950141 & 0.000555238234750706 \tabularnewline
254 & 0.999655782707953 & 0.000688434584094877 & 0.000344217292047438 \tabularnewline
255 & 0.999426713293069 & 0.00114657341386129 & 0.000573286706930646 \tabularnewline
256 & 0.998966430697123 & 0.00206713860575422 & 0.00103356930287711 \tabularnewline
257 & 0.9990992282614 & 0.0018015434772007 & 0.000900771738600348 \tabularnewline
258 & 0.998396928041137 & 0.00320614391772556 & 0.00160307195886278 \tabularnewline
259 & 0.998028072433155 & 0.00394385513369031 & 0.00197192756684515 \tabularnewline
260 & 0.99655074944575 & 0.0068985011085002 & 0.0034492505542501 \tabularnewline
261 & 0.996025308146361 & 0.00794938370727797 & 0.00397469185363898 \tabularnewline
262 & 0.996179433329796 & 0.00764113334040873 & 0.00382056667020436 \tabularnewline
263 & 0.99419230187545 & 0.0116153962491007 & 0.00580769812455035 \tabularnewline
264 & 0.996276481437977 & 0.00744703712404556 & 0.00372351856202278 \tabularnewline
265 & 0.993451222081639 & 0.0130975558367218 & 0.00654877791836092 \tabularnewline
266 & 0.993465732085015 & 0.0130685358299703 & 0.00653426791498516 \tabularnewline
267 & 0.992760285756487 & 0.0144794284870269 & 0.00723971424351347 \tabularnewline
268 & 0.989887060334909 & 0.020225879330181 & 0.0101129396650905 \tabularnewline
269 & 0.98109828078816 & 0.0378034384236808 & 0.0189017192118404 \tabularnewline
270 & 0.986809970828631 & 0.0263800583427386 & 0.0131900291713693 \tabularnewline
271 & 0.99732843166813 & 0.00534313666373931 & 0.00267156833186966 \tabularnewline
272 & 0.993627025558295 & 0.0127459488834101 & 0.00637297444170506 \tabularnewline
273 & 0.996526122251465 & 0.00694775549707088 & 0.00347387774853544 \tabularnewline
274 & 0.992274815361358 & 0.0154503692772841 & 0.00772518463864206 \tabularnewline
275 & 0.992217469632698 & 0.0155650607346048 & 0.00778253036730242 \tabularnewline
276 & 0.991166779893638 & 0.0176664402127237 & 0.00883322010636183 \tabularnewline
277 & 0.986051478816839 & 0.0278970423663213 & 0.0139485211831606 \tabularnewline
278 & 0.99539739546548 & 0.00920520906903955 & 0.00460260453451977 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154862&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]0.333657445599509[/C][C]0.667314891199017[/C][C]0.666342554400491[/C][/ROW]
[ROW][C]12[/C][C]0.742513182784122[/C][C]0.514973634431756[/C][C]0.257486817215878[/C][/ROW]
[ROW][C]13[/C][C]0.67897119538867[/C][C]0.642057609222661[/C][C]0.32102880461133[/C][/ROW]
[ROW][C]14[/C][C]0.566115957022866[/C][C]0.867768085954269[/C][C]0.433884042977134[/C][/ROW]
[ROW][C]15[/C][C]0.459281381845841[/C][C]0.918562763691681[/C][C]0.540718618154159[/C][/ROW]
[ROW][C]16[/C][C]0.354093416810071[/C][C]0.708186833620143[/C][C]0.645906583189929[/C][/ROW]
[ROW][C]17[/C][C]0.267324858052302[/C][C]0.534649716104604[/C][C]0.732675141947698[/C][/ROW]
[ROW][C]18[/C][C]0.394719661268862[/C][C]0.789439322537723[/C][C]0.605280338731138[/C][/ROW]
[ROW][C]19[/C][C]0.346428682188103[/C][C]0.692857364376207[/C][C]0.653571317811897[/C][/ROW]
[ROW][C]20[/C][C]0.636554630978744[/C][C]0.726890738042512[/C][C]0.363445369021256[/C][/ROW]
[ROW][C]21[/C][C]0.717645663390747[/C][C]0.564708673218505[/C][C]0.282354336609253[/C][/ROW]
[ROW][C]22[/C][C]0.648898813842111[/C][C]0.702202372315779[/C][C]0.351101186157889[/C][/ROW]
[ROW][C]23[/C][C]0.728453489222828[/C][C]0.543093021554344[/C][C]0.271546510777172[/C][/ROW]
[ROW][C]24[/C][C]0.668675483898286[/C][C]0.662649032203429[/C][C]0.331324516101714[/C][/ROW]
[ROW][C]25[/C][C]0.630062119721015[/C][C]0.73987576055797[/C][C]0.369937880278985[/C][/ROW]
[ROW][C]26[/C][C]0.671036257174758[/C][C]0.657927485650484[/C][C]0.328963742825242[/C][/ROW]
[ROW][C]27[/C][C]0.63650290618452[/C][C]0.726994187630961[/C][C]0.36349709381548[/C][/ROW]
[ROW][C]28[/C][C]0.575090576947132[/C][C]0.849818846105736[/C][C]0.424909423052868[/C][/ROW]
[ROW][C]29[/C][C]0.574494040412614[/C][C]0.851011919174773[/C][C]0.425505959587386[/C][/ROW]
[ROW][C]30[/C][C]0.524859214625744[/C][C]0.950281570748511[/C][C]0.475140785374256[/C][/ROW]
[ROW][C]31[/C][C]0.475638164205938[/C][C]0.951276328411877[/C][C]0.524361835794062[/C][/ROW]
[ROW][C]32[/C][C]0.431612583750899[/C][C]0.863225167501798[/C][C]0.568387416249101[/C][/ROW]
[ROW][C]33[/C][C]0.694951177060789[/C][C]0.610097645878423[/C][C]0.305048822939211[/C][/ROW]
[ROW][C]34[/C][C]0.663376026584547[/C][C]0.673247946830907[/C][C]0.336623973415453[/C][/ROW]
[ROW][C]35[/C][C]0.611310740250072[/C][C]0.777378519499856[/C][C]0.388689259749928[/C][/ROW]
[ROW][C]36[/C][C]0.557378198800968[/C][C]0.885243602398064[/C][C]0.442621801199032[/C][/ROW]
[ROW][C]37[/C][C]0.50121275905708[/C][C]0.997574481885841[/C][C]0.49878724094292[/C][/ROW]
[ROW][C]38[/C][C]0.507829944923279[/C][C]0.984340110153443[/C][C]0.492170055076721[/C][/ROW]
[ROW][C]39[/C][C]0.710350638517908[/C][C]0.579298722964184[/C][C]0.289649361482092[/C][/ROW]
[ROW][C]40[/C][C]0.689680568276578[/C][C]0.620638863446843[/C][C]0.310319431723422[/C][/ROW]
[ROW][C]41[/C][C]0.648399136449101[/C][C]0.703201727101799[/C][C]0.351600863550899[/C][/ROW]
[ROW][C]42[/C][C]0.59898287279656[/C][C]0.802034254406881[/C][C]0.40101712720344[/C][/ROW]
[ROW][C]43[/C][C]0.578183246599742[/C][C]0.843633506800516[/C][C]0.421816753400258[/C][/ROW]
[ROW][C]44[/C][C]0.528563521116335[/C][C]0.942872957767329[/C][C]0.471436478883665[/C][/ROW]
[ROW][C]45[/C][C]0.485868986509839[/C][C]0.971737973019677[/C][C]0.514131013490161[/C][/ROW]
[ROW][C]46[/C][C]0.440823053961321[/C][C]0.881646107922643[/C][C]0.559176946038679[/C][/ROW]
[ROW][C]47[/C][C]0.469375540862205[/C][C]0.93875108172441[/C][C]0.530624459137795[/C][/ROW]
[ROW][C]48[/C][C]0.422217228543961[/C][C]0.844434457087922[/C][C]0.577782771456039[/C][/ROW]
[ROW][C]49[/C][C]0.403799583689058[/C][C]0.807599167378115[/C][C]0.596200416310942[/C][/ROW]
[ROW][C]50[/C][C]0.611990967992661[/C][C]0.776018064014677[/C][C]0.388009032007339[/C][/ROW]
[ROW][C]51[/C][C]0.615299436537203[/C][C]0.769401126925595[/C][C]0.384700563462797[/C][/ROW]
[ROW][C]52[/C][C]0.601305716989045[/C][C]0.797388566021911[/C][C]0.398694283010955[/C][/ROW]
[ROW][C]53[/C][C]0.556387916431308[/C][C]0.887224167137384[/C][C]0.443612083568692[/C][/ROW]
[ROW][C]54[/C][C]0.517430025410788[/C][C]0.965139949178424[/C][C]0.482569974589212[/C][/ROW]
[ROW][C]55[/C][C]0.509437601710467[/C][C]0.981124796579067[/C][C]0.490562398289533[/C][/ROW]
[ROW][C]56[/C][C]0.469254309143475[/C][C]0.938508618286949[/C][C]0.530745690856525[/C][/ROW]
[ROW][C]57[/C][C]0.431003146364977[/C][C]0.862006292729955[/C][C]0.568996853635023[/C][/ROW]
[ROW][C]58[/C][C]0.396698231898274[/C][C]0.793396463796548[/C][C]0.603301768101726[/C][/ROW]
[ROW][C]59[/C][C]0.358680198888864[/C][C]0.717360397777728[/C][C]0.641319801111136[/C][/ROW]
[ROW][C]60[/C][C]0.320532127877057[/C][C]0.641064255754113[/C][C]0.679467872122943[/C][/ROW]
[ROW][C]61[/C][C]0.305116860599299[/C][C]0.610233721198598[/C][C]0.694883139400701[/C][/ROW]
[ROW][C]62[/C][C]0.274339171789499[/C][C]0.548678343578999[/C][C]0.7256608282105[/C][/ROW]
[ROW][C]63[/C][C]0.331977250654151[/C][C]0.663954501308303[/C][C]0.668022749345849[/C][/ROW]
[ROW][C]64[/C][C]0.298341435261979[/C][C]0.596682870523959[/C][C]0.701658564738021[/C][/ROW]
[ROW][C]65[/C][C]0.303510708715229[/C][C]0.607021417430458[/C][C]0.696489291284771[/C][/ROW]
[ROW][C]66[/C][C]0.357486531604496[/C][C]0.714973063208993[/C][C]0.642513468395504[/C][/ROW]
[ROW][C]67[/C][C]0.33656570427787[/C][C]0.67313140855574[/C][C]0.66343429572213[/C][/ROW]
[ROW][C]68[/C][C]0.306665099798516[/C][C]0.613330199597031[/C][C]0.693334900201484[/C][/ROW]
[ROW][C]69[/C][C]0.407403806131393[/C][C]0.814807612262786[/C][C]0.592596193868607[/C][/ROW]
[ROW][C]70[/C][C]0.426551190289171[/C][C]0.853102380578342[/C][C]0.573448809710829[/C][/ROW]
[ROW][C]71[/C][C]0.457575356151768[/C][C]0.915150712303536[/C][C]0.542424643848232[/C][/ROW]
[ROW][C]72[/C][C]0.50269236897229[/C][C]0.994615262055419[/C][C]0.49730763102771[/C][/ROW]
[ROW][C]73[/C][C]0.468691672034945[/C][C]0.937383344069891[/C][C]0.531308327965055[/C][/ROW]
[ROW][C]74[/C][C]0.450815273660896[/C][C]0.901630547321792[/C][C]0.549184726339104[/C][/ROW]
[ROW][C]75[/C][C]0.411943033699274[/C][C]0.823886067398549[/C][C]0.588056966300726[/C][/ROW]
[ROW][C]76[/C][C]0.570604370016814[/C][C]0.858791259966371[/C][C]0.429395629983186[/C][/ROW]
[ROW][C]77[/C][C]0.942479249182231[/C][C]0.115041501635538[/C][C]0.0575207508177692[/C][/ROW]
[ROW][C]78[/C][C]0.931189868022111[/C][C]0.137620263955779[/C][C]0.0688101319778894[/C][/ROW]
[ROW][C]79[/C][C]0.922155858478051[/C][C]0.155688283043897[/C][C]0.0778441415219487[/C][/ROW]
[ROW][C]80[/C][C]0.921625227374441[/C][C]0.156749545251119[/C][C]0.0783747726255594[/C][/ROW]
[ROW][C]81[/C][C]0.909137743596666[/C][C]0.181724512806668[/C][C]0.090862256403334[/C][/ROW]
[ROW][C]82[/C][C]0.940075372450062[/C][C]0.119849255099876[/C][C]0.0599246275499378[/C][/ROW]
[ROW][C]83[/C][C]0.947565839232205[/C][C]0.10486832153559[/C][C]0.0524341607677948[/C][/ROW]
[ROW][C]84[/C][C]0.936938008069361[/C][C]0.126123983861278[/C][C]0.0630619919306389[/C][/ROW]
[ROW][C]85[/C][C]0.924645799108649[/C][C]0.150708401782702[/C][C]0.0753542008913512[/C][/ROW]
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[ROW][C]220[/C][C]0.999999992767523[/C][C]1.44649536870421e-08[/C][C]7.23247684352104e-09[/C][/ROW]
[ROW][C]221[/C][C]0.999999986480244[/C][C]2.70395112006564e-08[/C][C]1.35197556003282e-08[/C][/ROW]
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[ROW][C]224[/C][C]0.999999972412905[/C][C]5.51741897481498e-08[/C][C]2.75870948740749e-08[/C][/ROW]
[ROW][C]225[/C][C]0.999999961961656[/C][C]7.60766885170273e-08[/C][C]3.80383442585137e-08[/C][/ROW]
[ROW][C]226[/C][C]0.999999934666799[/C][C]1.30666400958194e-07[/C][C]6.5333200479097e-08[/C][/ROW]
[ROW][C]227[/C][C]0.999999879131248[/C][C]2.41737503791017e-07[/C][C]1.20868751895508e-07[/C][/ROW]
[ROW][C]228[/C][C]0.999999856172948[/C][C]2.87654104778179e-07[/C][C]1.43827052389089e-07[/C][/ROW]
[ROW][C]229[/C][C]0.999999801464905[/C][C]3.97070190559189e-07[/C][C]1.98535095279595e-07[/C][/ROW]
[ROW][C]230[/C][C]0.999999634996587[/C][C]7.30006826488714e-07[/C][C]3.65003413244357e-07[/C][/ROW]
[ROW][C]231[/C][C]0.999999852627892[/C][C]2.94744215321782e-07[/C][C]1.47372107660891e-07[/C][/ROW]
[ROW][C]232[/C][C]0.999999773733979[/C][C]4.52532042013556e-07[/C][C]2.26266021006778e-07[/C][/ROW]
[ROW][C]233[/C][C]0.999999566606621[/C][C]8.66786757572562e-07[/C][C]4.33393378786281e-07[/C][/ROW]
[ROW][C]234[/C][C]0.999999330758711[/C][C]1.33848257798171e-06[/C][C]6.69241288990856e-07[/C][/ROW]
[ROW][C]235[/C][C]0.999998715776386[/C][C]2.56844722826922e-06[/C][C]1.28422361413461e-06[/C][/ROW]
[ROW][C]236[/C][C]0.999998975587337[/C][C]2.04882532594553e-06[/C][C]1.02441266297277e-06[/C][/ROW]
[ROW][C]237[/C][C]0.999998981029544[/C][C]2.03794091122153e-06[/C][C]1.01897045561076e-06[/C][/ROW]
[ROW][C]238[/C][C]0.999998019220962[/C][C]3.96155807585222e-06[/C][C]1.98077903792611e-06[/C][/ROW]
[ROW][C]239[/C][C]0.999996358276661[/C][C]7.28344667752601e-06[/C][C]3.64172333876301e-06[/C][/ROW]
[ROW][C]240[/C][C]0.999993118378794[/C][C]1.37632424126534e-05[/C][C]6.88162120632671e-06[/C][/ROW]
[ROW][C]241[/C][C]0.999991498267285[/C][C]1.70034654292226e-05[/C][C]8.50173271461131e-06[/C][/ROW]
[ROW][C]242[/C][C]0.999988060287811[/C][C]2.38794243786856e-05[/C][C]1.19397121893428e-05[/C][/ROW]
[ROW][C]243[/C][C]0.999986312403171[/C][C]2.73751936569861e-05[/C][C]1.3687596828493e-05[/C][/ROW]
[ROW][C]244[/C][C]0.99997505695081[/C][C]4.98860983794047e-05[/C][C]2.49430491897024e-05[/C][/ROW]
[ROW][C]245[/C][C]0.999954143449221[/C][C]9.17131015571571e-05[/C][C]4.58565507785786e-05[/C][/ROW]
[ROW][C]246[/C][C]0.999917088666463[/C][C]0.000165822667074137[/C][C]8.29113335370683e-05[/C][/ROW]
[ROW][C]247[/C][C]0.999933368768974[/C][C]0.000133262462052888[/C][C]6.6631231026444e-05[/C][/ROW]
[ROW][C]248[/C][C]0.999927543669085[/C][C]0.000144912661830303[/C][C]7.24563309151513e-05[/C][/ROW]
[ROW][C]249[/C][C]0.999866630578322[/C][C]0.000266738843356729[/C][C]0.000133369421678365[/C][/ROW]
[ROW][C]250[/C][C]0.999797281379415[/C][C]0.000405437241169038[/C][C]0.000202718620584519[/C][/ROW]
[ROW][C]251[/C][C]0.999761140670329[/C][C]0.000477718659342179[/C][C]0.000238859329671089[/C][/ROW]
[ROW][C]252[/C][C]0.999638960074884[/C][C]0.000722079850232497[/C][C]0.000361039925116248[/C][/ROW]
[ROW][C]253[/C][C]0.999444761765249[/C][C]0.00111047646950141[/C][C]0.000555238234750706[/C][/ROW]
[ROW][C]254[/C][C]0.999655782707953[/C][C]0.000688434584094877[/C][C]0.000344217292047438[/C][/ROW]
[ROW][C]255[/C][C]0.999426713293069[/C][C]0.00114657341386129[/C][C]0.000573286706930646[/C][/ROW]
[ROW][C]256[/C][C]0.998966430697123[/C][C]0.00206713860575422[/C][C]0.00103356930287711[/C][/ROW]
[ROW][C]257[/C][C]0.9990992282614[/C][C]0.0018015434772007[/C][C]0.000900771738600348[/C][/ROW]
[ROW][C]258[/C][C]0.998396928041137[/C][C]0.00320614391772556[/C][C]0.00160307195886278[/C][/ROW]
[ROW][C]259[/C][C]0.998028072433155[/C][C]0.00394385513369031[/C][C]0.00197192756684515[/C][/ROW]
[ROW][C]260[/C][C]0.99655074944575[/C][C]0.0068985011085002[/C][C]0.0034492505542501[/C][/ROW]
[ROW][C]261[/C][C]0.996025308146361[/C][C]0.00794938370727797[/C][C]0.00397469185363898[/C][/ROW]
[ROW][C]262[/C][C]0.996179433329796[/C][C]0.00764113334040873[/C][C]0.00382056667020436[/C][/ROW]
[ROW][C]263[/C][C]0.99419230187545[/C][C]0.0116153962491007[/C][C]0.00580769812455035[/C][/ROW]
[ROW][C]264[/C][C]0.996276481437977[/C][C]0.00744703712404556[/C][C]0.00372351856202278[/C][/ROW]
[ROW][C]265[/C][C]0.993451222081639[/C][C]0.0130975558367218[/C][C]0.00654877791836092[/C][/ROW]
[ROW][C]266[/C][C]0.993465732085015[/C][C]0.0130685358299703[/C][C]0.00653426791498516[/C][/ROW]
[ROW][C]267[/C][C]0.992760285756487[/C][C]0.0144794284870269[/C][C]0.00723971424351347[/C][/ROW]
[ROW][C]268[/C][C]0.989887060334909[/C][C]0.020225879330181[/C][C]0.0101129396650905[/C][/ROW]
[ROW][C]269[/C][C]0.98109828078816[/C][C]0.0378034384236808[/C][C]0.0189017192118404[/C][/ROW]
[ROW][C]270[/C][C]0.986809970828631[/C][C]0.0263800583427386[/C][C]0.0131900291713693[/C][/ROW]
[ROW][C]271[/C][C]0.99732843166813[/C][C]0.00534313666373931[/C][C]0.00267156833186966[/C][/ROW]
[ROW][C]272[/C][C]0.993627025558295[/C][C]0.0127459488834101[/C][C]0.00637297444170506[/C][/ROW]
[ROW][C]273[/C][C]0.996526122251465[/C][C]0.00694775549707088[/C][C]0.00347387774853544[/C][/ROW]
[ROW][C]274[/C][C]0.992274815361358[/C][C]0.0154503692772841[/C][C]0.00772518463864206[/C][/ROW]
[ROW][C]275[/C][C]0.992217469632698[/C][C]0.0155650607346048[/C][C]0.00778253036730242[/C][/ROW]
[ROW][C]276[/C][C]0.991166779893638[/C][C]0.0176664402127237[/C][C]0.00883322010636183[/C][/ROW]
[ROW][C]277[/C][C]0.986051478816839[/C][C]0.0278970423663213[/C][C]0.0139485211831606[/C][/ROW]
[ROW][C]278[/C][C]0.99539739546548[/C][C]0.00920520906903955[/C][C]0.00460260453451977[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154862&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154862&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
110.3336574455995090.6673148911990170.666342554400491
120.7425131827841220.5149736344317560.257486817215878
130.678971195388670.6420576092226610.32102880461133
140.5661159570228660.8677680859542690.433884042977134
150.4592813818458410.9185627636916810.540718618154159
160.3540934168100710.7081868336201430.645906583189929
170.2673248580523020.5346497161046040.732675141947698
180.3947196612688620.7894393225377230.605280338731138
190.3464286821881030.6928573643762070.653571317811897
200.6365546309787440.7268907380425120.363445369021256
210.7176456633907470.5647086732185050.282354336609253
220.6488988138421110.7022023723157790.351101186157889
230.7284534892228280.5430930215543440.271546510777172
240.6686754838982860.6626490322034290.331324516101714
250.6300621197210150.739875760557970.369937880278985
260.6710362571747580.6579274856504840.328963742825242
270.636502906184520.7269941876309610.36349709381548
280.5750905769471320.8498188461057360.424909423052868
290.5744940404126140.8510119191747730.425505959587386
300.5248592146257440.9502815707485110.475140785374256
310.4756381642059380.9512763284118770.524361835794062
320.4316125837508990.8632251675017980.568387416249101
330.6949511770607890.6100976458784230.305048822939211
340.6633760265845470.6732479468309070.336623973415453
350.6113107402500720.7773785194998560.388689259749928
360.5573781988009680.8852436023980640.442621801199032
370.501212759057080.9975744818858410.49878724094292
380.5078299449232790.9843401101534430.492170055076721
390.7103506385179080.5792987229641840.289649361482092
400.6896805682765780.6206388634468430.310319431723422
410.6483991364491010.7032017271017990.351600863550899
420.598982872796560.8020342544068810.40101712720344
430.5781832465997420.8436335068005160.421816753400258
440.5285635211163350.9428729577673290.471436478883665
450.4858689865098390.9717379730196770.514131013490161
460.4408230539613210.8816461079226430.559176946038679
470.4693755408622050.938751081724410.530624459137795
480.4222172285439610.8444344570879220.577782771456039
490.4037995836890580.8075991673781150.596200416310942
500.6119909679926610.7760180640146770.388009032007339
510.6152994365372030.7694011269255950.384700563462797
520.6013057169890450.7973885660219110.398694283010955
530.5563879164313080.8872241671373840.443612083568692
540.5174300254107880.9651399491784240.482569974589212
550.5094376017104670.9811247965790670.490562398289533
560.4692543091434750.9385086182869490.530745690856525
570.4310031463649770.8620062927299550.568996853635023
580.3966982318982740.7933964637965480.603301768101726
590.3586801988888640.7173603977777280.641319801111136
600.3205321278770570.6410642557541130.679467872122943
610.3051168605992990.6102337211985980.694883139400701
620.2743391717894990.5486783435789990.7256608282105
630.3319772506541510.6639545013083030.668022749345849
640.2983414352619790.5966828705239590.701658564738021
650.3035107087152290.6070214174304580.696489291284771
660.3574865316044960.7149730632089930.642513468395504
670.336565704277870.673131408555740.66343429572213
680.3066650997985160.6133301995970310.693334900201484
690.4074038061313930.8148076122627860.592596193868607
700.4265511902891710.8531023805783420.573448809710829
710.4575753561517680.9151507123035360.542424643848232
720.502692368972290.9946152620554190.49730763102771
730.4686916720349450.9373833440698910.531308327965055
740.4508152736608960.9016305473217920.549184726339104
750.4119430336992740.8238860673985490.588056966300726
760.5706043700168140.8587912599663710.429395629983186
770.9424792491822310.1150415016355380.0575207508177692
780.9311898680221110.1376202639557790.0688101319778894
790.9221558584780510.1556882830438970.0778441415219487
800.9216252273744410.1567495452511190.0783747726255594
810.9091377435966660.1817245128066680.090862256403334
820.9400753724500620.1198492550998760.0599246275499378
830.9475658392322050.104868321535590.0524341607677948
840.9369380080693610.1261239838612780.0630619919306389
850.9246457991086490.1507084017827020.0753542008913512
860.9503741681705140.09925166365897270.0496258318294864
870.9420298171913090.1159403656173830.0579701828086915
880.9307859502715160.1384280994569690.0692140497284845
890.9243850862959560.1512298274080870.0756149137040437
900.9301394123309810.1397211753380380.069860587669019
910.9291169945429090.1417660109141820.0708830054570908
920.9378045369694910.1243909260610180.0621954630305091
930.9413922267925210.1172155464149580.0586077732074789
940.939025620024120.121948759951760.0609743799758798
950.9274345317041010.1451309365917980.0725654682958989
960.9333329415143020.1333341169713970.0666670584856983
970.9495035068617130.1009929862765750.0504964931382873
980.9814872835085480.03702543298290320.0185127164914516
990.9813224790733450.03735504185331090.0186775209266554
1000.9950012583708810.009997483258237830.00499874162911891
1010.9949176065790.01016478684200050.00508239342100024
1020.9934688126707610.01306237465847780.0065311873292389
1030.9938471124282280.01230577514354320.0061528875717716
1040.9921499356751650.01570012864967040.0078500643248352
1050.9911980052891530.01760398942169370.00880199471084686
1060.9971355583507940.005728883298412620.00286444164920631
1070.9963030740482240.00739385190355110.00369692595177555
1080.9954455476496570.009108904700685380.00455445235034269
1090.9973403740094760.005319251981047770.00265962599052388
1100.9966010372595280.006797925480944060.00339896274047203
1110.9974353550277470.005129289944505590.0025646449722528
1120.997263154117530.005473691764940880.00273684588247044
1130.9966070877546060.006785824490788380.00339291224539419
1140.9966956233992310.00660875320153850.00330437660076925
1150.9964142932333290.007171413533342660.00358570676667133
1160.9971071203003890.005785759399221280.00289287969961064
1170.9997497844410380.0005004311179229890.000250215558961494
1180.99976134213490.0004773157302001370.000238657865100069
1190.9997314124643750.0005371750712499020.000268587535624951
1200.9996450094333460.0007099811333076630.000354990566653832
1210.9995220761722340.0009558476555314110.000477923827765705
1220.9993640089098720.001271982180256010.000635991090128006
1230.9991517159374640.001696568125071170.000848284062535585
1240.9995636968317430.0008726063365143050.000436303168257153
1250.9996435865134810.0007128269730381790.00035641348651909
1260.9995308086780130.0009383826439743060.000469191321987153
1270.9993669630068920.001266073986216440.000633036993108221
1280.9992646366728530.001470726654294540.000735363327147268
1290.9995765113611730.0008469772776549880.000423488638827494
1300.9994809688552310.001038062289538570.000519031144769286
1310.9993444139530270.001311172093945310.000655586046972654
1320.9997610984785470.0004778030429066670.000238901521453333
1330.9996987134255590.0006025731488818480.000301286574440924
1340.9996282869840720.000743426031856520.00037171301592826
1350.9995221694532160.0009556610935681260.000477830546784063
1360.9994215599502990.001156880099402610.000578440049701307
1370.99923714976360.001525700472800440.000762850236400219
1380.9990415012969880.00191699740602430.000958498703012152
1390.9987437806469450.002512438706110950.00125621935305547
1400.9984825984115920.003034803176815850.00151740158840792
1410.9980678737316630.003864252536673980.00193212626833699
1420.9976306142541760.004738771491649020.00236938574582451
1430.9981713461495480.003657307700903090.00182865385045154
1440.9977247922988690.00455041540226210.00227520770113105
1450.9974155934652080.00516881306958430.00258440653479215
1460.9968725477589660.006254904482067520.00312745224103376
1470.9970732343181570.005853531363686360.00292676568184318
1480.9971808832287210.005638233542557810.0028191167712789
1490.9966293932426820.006741213514635690.00337060675731784
1500.9967483016728690.006503396654262030.00325169832713101
1510.9960408523249860.007918295350027270.00395914767501364
1520.9978850664683310.004229867063338780.00211493353166939
1530.9973948133931780.00521037321364470.00260518660682235
1540.9969969202993490.006006159401300910.00300307970065045
1550.9989839533536860.002032093292628440.00101604664631422
1560.9987709359935770.00245812801284690.00122906400642345
1570.9984062887219620.00318742255607620.0015937112780381
1580.997895209736620.004209580526759220.00210479026337961
1590.9976351403489740.004729719302052290.00236485965102614
1600.9969708244906510.006058351018697750.00302917550934887
1610.9981849902447520.003630019510495470.00181500975524774
1620.9986200687374490.002759862525101160.00137993126255058
1630.9981996917058070.003600616588386850.00180030829419343
1640.9978167730326730.004366453934653530.00218322696732677
1650.9973861074333670.005227785133265530.00261389256663277
1660.9971996312422750.005600737515449110.00280036875772455
1670.9966321447303910.006735710539217460.00336785526960873
1680.9981974346002060.003605130799587210.00180256539979361
1690.9978512793604380.004297441279123780.00214872063956189
1700.9988695806846150.002260838630769620.00113041931538481
1710.9988438958890980.002312208221803930.00115610411090197
1720.9996337764585050.0007324470829891390.00036622354149457
1730.999764567734040.0004708645319198450.000235432265959922
1740.9998035599029350.0003928801941303130.000196440097065156
1750.9999999985211682.95766327880339e-091.4788316394017e-09
1760.9999999987948152.4103692687443e-091.20518463437215e-09
1770.9999999986327992.73440135504535e-091.36720067752268e-09
1780.9999999978833124.2333768826784e-092.1166884413392e-09
1790.9999999999996347.32912310696897e-133.66456155348448e-13
1800.9999999999994511.09867881971342e-125.4933940985671e-13
1810.9999999999990341.93247020787141e-129.66235103935707e-13
1820.9999999999996037.94853407437504e-133.97426703718752e-13
1830.9999999999992071.58560079557301e-127.92800397786507e-13
1840.9999999999989472.10517192773178e-121.05258596386589e-12
1850.999999999999975.99877810347119e-142.9993890517356e-14
1860.9999999999999391.21561048178039e-136.07805240890197e-14
1870.9999999999998722.56845818872228e-131.28422909436114e-13
1880.9999999999997844.32798665708669e-132.16399332854335e-13
1890.9999999999996966.07799414095079e-133.0389970704754e-13
1900.9999999999996327.36649151204081e-133.68324575602041e-13
1910.9999999999994571.08546112905797e-125.42730564528983e-13
1920.9999999999994091.1825561142623e-125.91278057131151e-13
1930.9999999999995059.90708177445981e-134.95354088722991e-13
1940.9999999999993161.36826988902085e-126.84134944510426e-13
1950.9999999999995359.30719688046983e-134.65359844023491e-13
1960.9999999999997964.07523350273855e-132.03761675136928e-13
1970.9999999999997235.5342078963028e-132.7671039481514e-13
1980.9999999999994171.16656265953452e-125.8328132976726e-13
1990.9999999999988352.32957147652431e-121.16478573826216e-12
2000.9999999999985152.97032616749947e-121.48516308374974e-12
2010.9999999999969936.0145662944241e-123.00728314721205e-12
2020.9999999999942381.15248215837061e-115.76241079185304e-12
2030.99999999998872.25998916624444e-111.12999458312222e-11
2040.9999999999822013.55982555392134e-111.77991277696067e-11
2050.9999999999649277.01459045354188e-113.50729522677094e-11
2060.9999999999472451.05509521671898e-105.2754760835949e-11
2070.9999999998945622.10875603761293e-101.05437801880646e-10
2080.9999999998621372.75725829288365e-101.37862914644183e-10
2090.9999999997438095.12382453484856e-102.56191226742428e-10
2100.9999999997014795.97042915114157e-102.98521457557078e-10
2110.9999999994065731.18685305189959e-095.93426525949795e-10
2120.9999999988621382.27572391677933e-091.13786195838967e-09
2130.9999999977702784.45944440493823e-092.22972220246911e-09
2140.9999999973685985.26280367986853e-092.63140183993427e-09
2150.9999999986420432.7159129487738e-091.3579564743869e-09
2160.9999999990429581.91408486827323e-099.57042434136616e-10
2170.9999999980639443.87211172176599e-091.93605586088299e-09
2180.9999999968699726.26005652221778e-093.13002826110889e-09
2190.9999999947302291.05395413454421e-085.26977067272106e-09
2200.9999999927675231.44649536870421e-087.23247684352104e-09
2210.9999999864802442.70395112006564e-081.35197556003282e-08
2220.9999999900622441.98755112000001e-089.93775560000005e-09
2230.9999999858842022.82315954585688e-081.41157977292844e-08
2240.9999999724129055.51741897481498e-082.75870948740749e-08
2250.9999999619616567.60766885170273e-083.80383442585137e-08
2260.9999999346667991.30666400958194e-076.5333200479097e-08
2270.9999998791312482.41737503791017e-071.20868751895508e-07
2280.9999998561729482.87654104778179e-071.43827052389089e-07
2290.9999998014649053.97070190559189e-071.98535095279595e-07
2300.9999996349965877.30006826488714e-073.65003413244357e-07
2310.9999998526278922.94744215321782e-071.47372107660891e-07
2320.9999997737339794.52532042013556e-072.26266021006778e-07
2330.9999995666066218.66786757572562e-074.33393378786281e-07
2340.9999993307587111.33848257798171e-066.69241288990856e-07
2350.9999987157763862.56844722826922e-061.28422361413461e-06
2360.9999989755873372.04882532594553e-061.02441266297277e-06
2370.9999989810295442.03794091122153e-061.01897045561076e-06
2380.9999980192209623.96155807585222e-061.98077903792611e-06
2390.9999963582766617.28344667752601e-063.64172333876301e-06
2400.9999931183787941.37632424126534e-056.88162120632671e-06
2410.9999914982672851.70034654292226e-058.50173271461131e-06
2420.9999880602878112.38794243786856e-051.19397121893428e-05
2430.9999863124031712.73751936569861e-051.3687596828493e-05
2440.999975056950814.98860983794047e-052.49430491897024e-05
2450.9999541434492219.17131015571571e-054.58565507785786e-05
2460.9999170886664630.0001658226670741378.29113335370683e-05
2470.9999333687689740.0001332624620528886.6631231026444e-05
2480.9999275436690850.0001449126618303037.24563309151513e-05
2490.9998666305783220.0002667388433567290.000133369421678365
2500.9997972813794150.0004054372411690380.000202718620584519
2510.9997611406703290.0004777186593421790.000238859329671089
2520.9996389600748840.0007220798502324970.000361039925116248
2530.9994447617652490.001110476469501410.000555238234750706
2540.9996557827079530.0006884345840948770.000344217292047438
2550.9994267132930690.001146573413861290.000573286706930646
2560.9989664306971230.002067138605754220.00103356930287711
2570.99909922826140.00180154347720070.000900771738600348
2580.9983969280411370.003206143917725560.00160307195886278
2590.9980280724331550.003943855133690310.00197192756684515
2600.996550749445750.00689850110850020.0034492505542501
2610.9960253081463610.007949383707277970.00397469185363898
2620.9961794333297960.007641133340408730.00382056667020436
2630.994192301875450.01161539624910070.00580769812455035
2640.9962764814379770.007447037124045560.00372351856202278
2650.9934512220816390.01309755583672180.00654877791836092
2660.9934657320850150.01306853582997030.00653426791498516
2670.9927602857564870.01447942848702690.00723971424351347
2680.9898870603349090.0202258793301810.0101129396650905
2690.981098280788160.03780343842368080.0189017192118404
2700.9868099708286310.02638005834273860.0131900291713693
2710.997328431668130.005343136663739310.00267156833186966
2720.9936270255582950.01274594888341010.00637297444170506
2730.9965261222514650.006947755497070880.00347387774853544
2740.9922748153613580.01545036927728410.00772518463864206
2750.9922174696326980.01556506073460480.00778253036730242
2760.9911667798936380.01766644021272370.00883322010636183
2770.9860514788168390.02789704236632130.0139485211831606
2780.995397395465480.009205209069039550.00460260453451977






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1620.604477611940298NOK
5% type I error level1810.675373134328358NOK
10% type I error level1820.67910447761194NOK

\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 & 162 & 0.604477611940298 & NOK \tabularnewline
5% type I error level & 181 & 0.675373134328358 & NOK \tabularnewline
10% type I error level & 182 & 0.67910447761194 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154862&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]162[/C][C]0.604477611940298[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]181[/C][C]0.675373134328358[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]182[/C][C]0.67910447761194[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154862&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154862&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 level1620.604477611940298NOK
5% type I error level1810.675373134328358NOK
10% type I error level1820.67910447761194NOK


Figures (Output of Computation)

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Input Parameters & R Code

Parameters (Session):
par1 = 7 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 7 ; 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')
}