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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationFri, 07 Dec 2012 10:28:04 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/07/t13548941142fttbzw507xomox.htm/, Retrieved Thu, 28 Mar 2024 09:59:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=197424, Retrieved Thu, 28 Mar 2024 09:59:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact143
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [] [2010-12-05 18:56:24] [b98453cac15ba1066b407e146608df68]
- R PD    [Multiple Regression] [WS10] [2012-12-07 15:28:04] [e2ccb4f6662abf6b355cbcf28b97e404] [Current]
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Dataseries X:
1418	210907	396	81	3	79	30
869	120982	297	55	4	58	28
1530	176508	559	50	12	60	38
2172	179321	967	125	2	108	30
901	123185	270	40	1	49	22
463	52746	143	37	3	0	26
3201	385534	1562	63	0	121	25
371	33170	109	44	0	1	18
1192	101645	371	88	0	20	11
1583	149061	656	66	5	43	26
1439	165446	511	57	0	69	25
1764	237213	655	74	0	78	38
1495	173326	465	49	7	86	44
1373	133131	525	52	7	44	30
2187	258873	885	88	3	104	40
1491	180083	497	36	9	63	34
4041	324799	1436	108	0	158	47
1706	230964	612	43	4	102	30
2152	236785	865	75	3	77	31
1036	135473	385	32	0	82	23
1882	202925	567	44	7	115	36
1929	215147	639	85	0	101	36
2242	344297	963	86	1	80	30
1220	153935	398	56	5	50	25
1289	132943	410	50	7	83	39
2515	174724	966	135	0	123	34
2147	174415	801	63	0	73	31
2352	225548	892	81	5	81	31
1638	223632	513	52	0	105	33
1222	124817	469	44	0	47	25
1812	221698	683	113	0	105	33
1677	210767	643	39	3	94	35
1579	170266	535	73	4	44	42
1731	260561	625	48	1	114	43
807	84853	264	33	4	38	30
2452	294424	992	59	2	107	33
829	101011	238	41	0	30	13
1940	215641	818	69	0	71	32
2662	325107	937	64	0	84	36
186	7176	70	1	0	0	0
1499	167542	507	59	2	59	28
865	106408	260	32	1	33	14
1793	96560	503	129	0	42	17
2527	265769	927	37	2	96	32
2747	269651	1269	31	10	106	30
1324	149112	537	65	6	56	35
2702	175824	910	107	0	57	20
1383	152871	532	74	5	59	28
1179	111665	345	54	4	39	28
2099	116408	918	76	1	34	39
4308	362301	1635	715	2	76	34
918	78800	330	57	2	20	26
1831	183167	557	66	0	91	39
3373	277965	1178	106	8	115	39
1713	150629	740	54	3	85	33
1438	168809	452	32	0	76	28
496	24188	218	20	0	8	4
2253	329267	764	71	8	79	39
744	65029	255	21	5	21	18
1161	101097	454	70	3	30	14
2352	218946	866	112	1	76	29
2144	244052	574	66	5	101	44
4691	341570	1276	190	1	94	21
1112	103597	379	66	1	27	16
2694	233328	825	165	5	92	28
1973	256462	798	56	0	123	35
1769	206161	663	61	12	75	28
3148	311473	1069	53	8	128	38
2474	235800	921	127	8	105	23
2084	177939	858	63	8	55	36
1954	207176	711	38	8	56	32
1226	196553	503	50	2	41	29
1389	174184	382	52	0	72	25
1496	143246	464	42	5	67	27
2269	187559	717	76	8	75	36
1833	187681	690	67	2	114	28
1268	119016	462	50	5	118	23
1943	182192	657	53	12	77	40
893	73566	385	39	6	22	23
1762	194979	577	50	7	66	40
1403	167488	619	77	2	69	28
1425	143756	479	57	0	105	34
1857	275541	817	73	4	116	33
1840	243199	752	34	3	88	28
1502	182999	430	39	6	73	34
1441	135649	451	46	2	99	30
1420	152299	537	63	0	62	33
1416	120221	519	35	1	53	22
2970	346485	1000	106	0	118	38
1317	145790	637	43	5	30	26
1644	193339	465	47	2	100	35
870	80953	437	31	0	49	8
1654	122774	711	162	0	24	24
1054	130585	299	57	5	67	29
937	112611	248	36	0	46	20
3004	286468	1162	263	1	57	29
2008	241066	714	78	0	75	45
2547	148446	905	63	1	135	37
1885	204713	649	54	1	68	33
1626	182079	512	63	2	124	33
1468	140344	472	77	6	33	25
2445	220516	905	79	1	98	32
1964	243060	786	110	4	58	29
1381	162765	489	56	2	68	28
1369	182613	479	56	3	81	28
1659	232138	617	43	0	131	31
2888	265318	925	111	10	110	52
1290	85574	351	71	0	37	21
2845	310839	1144	62	9	130	24
1982	225060	669	56	7	93	41
1904	232317	707	74	0	118	33
1391	144966	458	60	0	39	32
602	43287	214	43	4	13	19
1743	155754	599	68	4	74	20
1559	164709	572	53	0	81	31
2014	201940	897	87	0	109	31
2143	235454	819	46	0	151	32
2146	220801	720	105	1	51	18
874	99466	273	32	0	28	23
1590	92661	508	133	1	40	17
1590	133328	506	79	0	56	20
1210	61361	451	51	0	27	12
2072	125930	699	207	4	37	17
1281	100750	407	67	0	83	30
1401	224549	465	47	4	54	31
834	82316	245	34	4	27	10
1105	102010	370	66	3	28	13
1272	101523	316	76	0	59	22
1944	243511	603	65	0	133	42
391	22938	154	9	0	12	1
761	41566	229	42	5	0	9
1605	152474	577	45	0	106	32
530	61857	192	25	4	23	11
1988	99923	617	115	0	44	25
1386	132487	411	97	0	71	36
2395	317394	975	53	1	116	31
387	21054	146	2	0	4	0
1742	209641	705	52	5	62	24
620	22648	184	44	0	12	13
449	31414	200	22	0	18	8
800	46698	274	35	0	14	13
1684	131698	502	74	0	60	19
1050	91735	382	103	0	7	18
2699	244749	964	144	2	98	33
1606	184510	537	60	7	64	40
1502	79863	438	134	1	29	22
1204	128423	369	89	8	32	38
1138	97839	417	42	2	25	24
568	38214	276	52	0	16	8
1459	151101	514	98	2	48	35
2158	272458	822	99	0	100	43
1111	172494	389	52	0	46	43
1421	108043	466	29	1	45	14
2833	328107	1255	125	3	129	41
1955	250579	694	106	0	130	38
2922	351067	1024	95	3	136	45
1002	158015	400	40	0	59	31
1060	98866	397	140	0	25	13
956	85439	350	43	0	32	28
2186	229242	719	128	4	63	31
3604	351619	1277	142	4	95	40
1035	84207	356	73	11	14	30
1417	120445	457	72	0	36	16
3261	324598	1402	128	0	113	37
1587	131069	600	61	4	47	30
1424	204271	480	73	0	92	35
1701	165543	595	148	1	70	32
1249	141722	436	64	0	19	27
946	116048	230	45	0	50	20
1926	250047	651	58	0	41	18
3352	299775	1367	97	9	91	31
1641	195838	564	50	1	111	31
2035	173260	716	37	3	41	21
2312	254488	747	50	10	120	39
1369	104389	467	105	5	135	41
1577	136084	671	69	0	27	13
2201	199476	861	46	2	87	32
961	92499	319	57	0	25	18
1900	224330	612	52	1	131	39
1254	135781	433	98	2	45	14
1335	74408	434	61	4	29	7
1597	81240	503	89	0	58	17
207	14688	85	0	0	4	0
1645	181633	564	48	2	47	30
2429	271856	824	91	1	109	37
151	7199	74	0	0	7	0
474	46660	259	7	0	12	5
141	17547	69	3	0	0	1
1639	133368	535	54	1	37	16
872	95227	239	70	0	37	32
1318	152601	438	36	2	46	24
1018	98146	459	37	0	15	17
1383	79619	426	123	3	42	11
1314	59194	288	247	6	7	24
1335	139942	498	46	0	54	22
1403	118612	454	72	2	54	12
910	72880	376	41	0	14	19
616	65475	225	24	2	16	13
1407	99643	555	45	1	33	17
771	71965	252	33	1	32	15
766	77272	208	27	2	21	16
473	49289	130	36	1	15	24
1376	135131	481	87	0	38	15
1232	108446	389	90	1	22	17
1521	89746	565	114	3	28	18
572	44296	173	31	0	10	20
1059	77648	278	45	0	31	16
1544	181528	609	69	0	32	16
1230	134019	422	51	0	32	18
1206	124064	445	34	1	43	22
1205	92630	387	60	4	27	8
1255	121848	339	45	0	37	17
613	52915	181	54	0	20	18
721	81872	245	25	0	32	16
1109	58981	384	38	7	0	23
740	53515	212	52	2	5	22
1126	60812	399	67	0	26	13
728	56375	229	74	7	10	13
689	65490	224	38	3	27	16
592	80949	203	30	0	11	16
995	76302	333	26	0	29	20
1613	104011	384	67	6	25	22
2048	98104	636	132	2	55	17
705	67989	185	42	0	23	18
301	30989	93	35	0	5	17
1803	135458	581	118	3	43	12
799	73504	248	68	0	23	7
861	63123	304	43	1	34	17
1186	61254	344	76	1	36	14
1451	74914	407	64	0	35	23
628	31774	170	48	1	0	17
1161	81437	312	64	0	37	14
1463	87186	507	56	0	28	15
742	50090	224	71	0	16	17
979	65745	340	75	0	26	21
675	56653	168	39	0	38	18
1241	158399	443	42	0	23	18
676	46455	204	39	0	22	17
1049	73624	367	93	0	30	17
620	38395	210	38	0	16	16
1081	91899	335	60	0	18	15
1688	139526	364	71	0	28	21
736	52164	178	52	0	32	16
617	51567	206	27	2	21	14
812	70551	279	59	0	23	15
1051	84856	387	40	1	29	17
1656	102538	490	79	1	50	15
705	86678	238	44	0	12	15
945	85709	343	65	0	21	10
554	34662	232	10	0	18	6
1597	150580	530	124	0	27	22
982	99611	291	81	0	41	21
222	19349	67	15	0	13	1
1212	99373	397	92	1	12	18
1143	86230	467	42	0	21	17
435	30837	178	10	0	8	4
532	31706	175	24	0	26	10
882	89806	299	64	0	27	16
608	62088	154	45	1	13	16
459	40151	106	22	0	16	9
578	27634	189	56	0	2	16
826	76990	194	94	0	42	17
509	37460	135	19	0	5	7
717	54157	201	35	0	37	15
637	49862	207	32	0	17	14
857	84337	280	35	0	38	14
830	64175	260	48	0	37	18
652	59382	227	49	0	29	12
707	119308	239	48	0	32	16
954	76702	333	62	0	35	21
1461	103425	428	96	1	17	19
672	70344	230	45	0	20	16
778	43410	292	63	0	7	1
1141	104838	350	71	1	46	16
680	62215	186	26	0	24	10
1090	69304	326	48	6	40	19
616	53117	155	29	3	3	12
285	19764	75	19	1	10	2
1145	86680	361	45	2	37	14
733	84105	261	45	0	17	17
888	77945	299	67	0	28	19
849	89113	300	30	0	19	14
1182	91005	450	36	3	29	11
528	40248	183	34	1	8	4
642	64187	238	36	0	10	16
947	50857	165	34	0	15	20
819	56613	234	37	1	15	12
757	62792	176	46	0	28	15
894	72535	329	44	0	17	16




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time14 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 14 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197424&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]14 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197424&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197424&T=0

As an alternative you can also use a 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 time14 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







Multiple Linear Regression - Estimated Regression Equation
sharedcomp[t] = -0.791639681401893 + 0.00146249852839078pageviews[t] -4.225736105048e-06time[t] + 0.000308433471376181compinfo[t] -0.00947628345155001comppr[t] -0.022955924492072bloggedcomp[t] + 0.125723050034549compreviewed[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
sharedcomp[t] =  -0.791639681401893 +  0.00146249852839078pageviews[t] -4.225736105048e-06time[t] +  0.000308433471376181compinfo[t] -0.00947628345155001comppr[t] -0.022955924492072bloggedcomp[t] +  0.125723050034549compreviewed[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197424&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]sharedcomp[t] =  -0.791639681401893 +  0.00146249852839078pageviews[t] -4.225736105048e-06time[t] +  0.000308433471376181compinfo[t] -0.00947628345155001comppr[t] -0.022955924492072bloggedcomp[t] +  0.125723050034549compreviewed[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197424&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197424&T=1

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Estimated Regression Equation
sharedcomp[t] = -0.791639681401893 + 0.00146249852839078pageviews[t] -4.225736105048e-06time[t] + 0.000308433471376181compinfo[t] -0.00947628345155001comppr[t] -0.022955924492072bloggedcomp[t] + 0.125723050034549compreviewed[t] + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-0.7916396814018930.393766-2.01040.0453380.022669
pageviews0.001462498528390780.0008271.76850.0780550.039028
time-4.225736105048e-065e-06-0.8290.4077870.203894
compinfo0.0003084334713761810.0019820.15570.8764160.438208
comppr-0.009476283451550010.003664-2.58630.0102020.005101
bloggedcomp-0.0229559244920720.007972-2.87950.0042880.002144
compreviewed0.1257230500345490.0231225.437400

\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) & -0.791639681401893 & 0.393766 & -2.0104 & 0.045338 & 0.022669 \tabularnewline
pageviews & 0.00146249852839078 & 0.000827 & 1.7685 & 0.078055 & 0.039028 \tabularnewline
time & -4.225736105048e-06 & 5e-06 & -0.829 & 0.407787 & 0.203894 \tabularnewline
compinfo & 0.000308433471376181 & 0.001982 & 0.1557 & 0.876416 & 0.438208 \tabularnewline
comppr & -0.00947628345155001 & 0.003664 & -2.5863 & 0.010202 & 0.005101 \tabularnewline
bloggedcomp & -0.022955924492072 & 0.007972 & -2.8795 & 0.004288 & 0.002144 \tabularnewline
compreviewed & 0.125723050034549 & 0.023122 & 5.4374 & 0 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197424&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]-0.791639681401893[/C][C]0.393766[/C][C]-2.0104[/C][C]0.045338[/C][C]0.022669[/C][/ROW]
[ROW][C]pageviews[/C][C]0.00146249852839078[/C][C]0.000827[/C][C]1.7685[/C][C]0.078055[/C][C]0.039028[/C][/ROW]
[ROW][C]time[/C][C]-4.225736105048e-06[/C][C]5e-06[/C][C]-0.829[/C][C]0.407787[/C][C]0.203894[/C][/ROW]
[ROW][C]compinfo[/C][C]0.000308433471376181[/C][C]0.001982[/C][C]0.1557[/C][C]0.876416[/C][C]0.438208[/C][/ROW]
[ROW][C]comppr[/C][C]-0.00947628345155001[/C][C]0.003664[/C][C]-2.5863[/C][C]0.010202[/C][C]0.005101[/C][/ROW]
[ROW][C]bloggedcomp[/C][C]-0.022955924492072[/C][C]0.007972[/C][C]-2.8795[/C][C]0.004288[/C][C]0.002144[/C][/ROW]
[ROW][C]compreviewed[/C][C]0.125723050034549[/C][C]0.023122[/C][C]5.4374[/C][C]0[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197424&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197424&T=2

As an alternative you can also use a 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)-0.7916396814018930.393766-2.01040.0453380.022669
pageviews0.001462498528390780.0008271.76850.0780550.039028
time-4.225736105048e-065e-06-0.8290.4077870.203894
compinfo0.0003084334713761810.0019820.15570.8764160.438208
comppr-0.009476283451550010.003664-2.58630.0102020.005101
bloggedcomp-0.0229559244920720.007972-2.87950.0042880.002144
compreviewed0.1257230500345490.0231225.437400







Multiple Linear Regression - Regression Statistics
Multiple R0.439592193619967
R-squared0.193241296691614
Adjusted R-squared0.176076217897819
F-TEST (value)11.2578158838085
F-TEST (DF numerator)6
F-TEST (DF denominator)282
p-value2.85211854134104e-11
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.47979725530911
Sum Squared Residuals1734.12922853768

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.439592193619967 \tabularnewline
R-squared & 0.193241296691614 \tabularnewline
Adjusted R-squared & 0.176076217897819 \tabularnewline
F-TEST (value) & 11.2578158838085 \tabularnewline
F-TEST (DF numerator) & 6 \tabularnewline
F-TEST (DF denominator) & 282 \tabularnewline
p-value & 2.85211854134104e-11 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.47979725530911 \tabularnewline
Sum Squared Residuals & 1734.12922853768 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197424&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.439592193619967[/C][/ROW]
[ROW][C]R-squared[/C][C]0.193241296691614[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.176076217897819[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]11.2578158838085[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]6[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]282[/C][/ROW]
[ROW][C]p-value[/C][C]2.85211854134104e-11[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]2.47979725530911[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]1734.12922853768[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197424&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197424&T=3

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Regression Statistics
Multiple R0.439592193619967
R-squared0.193241296691614
Adjusted R-squared0.176076217897819
F-TEST (value)11.2578158838085
F-TEST (DF numerator)6
F-TEST (DF denominator)282
p-value2.85211854134104e-11
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.47979725530911
Sum Squared Residuals1734.12922853768







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
131.703680068401091.29631993159891
241.727244465899462.27275553410054
3123.798827408316538.20117259168347
422.03331528943929-0.0333152894392934
511.35081669043599-0.35081669043599
632.62488926024390.375110739756101
702.5108297766184-2.5108297766184
801.46750135866826-1.46750135866826
900.72648455272508-0.72648455272508
1052.752195236645822.24780476335418
1101.79034337336231-1.79034337336231
1203.27350092326065-3.27350092326065
1373.899054052664733.10094594733527
1473.084585981054713.91541401894529
1533.39347215010466-0.393472150104661
1693.268468078615715.73153192138429
1705.44722114464701-5.44722114464701
1841.938858193177182.06114180682282
1933.04094828711691-0.0409482871169105
2000.97578580512675-0.97578580512675
2172.747298840970284.25270115902972
2202.7194518564433-2.7194518564433
2312.44965235326321-1.44965235326321
2451.929484510485353.07051548951465
2573.182239655872613.81776034412739
2602.61786005832248-2.61786005832248
2703.48299431256561-3.48299431256561
2853.240578894457061.75942110554294
2902.06287130226606-2.06287130226606
3002.25993644281144-2.25993644281144
3101.79989901942262-1.79989901942262
3232.841522145495690.158477854504311
3344.54169695028806-0.541696950288056
3413.16590831930026-2.16590831930026
3542.698105698167731.30189430183227
3622.9896905936718-0.989690593671798
3700.624527229288023-0.624527229288023
3803.1260674878448-3.1260674878448
3904.00796717896054-4.00796717896054
400-0.537824777866250.53782477786625
4122.45577823642534-0.455778236425343
4210.8032982425437070.196701757456293
4301.52842759447193-1.52842759447193
4423.53568863106415-1.53568863106415
45103.522370602680466.47762939731954
4663.179045737523042.82095426247696
4702.8897309516554-2.8897309516554
4852.213690766540332.78630923345967
4942.680433848418311.31956615158169
5015.47187714419644-4.47187714419644
5120.2364950599296081.76350494007039
5222.58926166245569-0.589261662455692
5303.47275227725141-3.47275227725141
5484.588877336596533.41112266340347
5532.991230425712920.00876957428707749
5602.20985691444935-2.20985691444935
5700.0285051157016622-0.0285051157016622
5883.764482016506794.23551798349321
5951.682252899552433.31774710044757
6031.027245787165581.97275421283442
6112.83002666936002-1.83002666936002
6254.077529748147290.922470251852705
6313.7009506360303-2.7009506360303
6411.28010551601012-0.280105516010116
6552.261519992240592.73848000775941
6602.30231525769606-2.30231525769606
67122.349327399208449.65067260079156
6884.162692908421323.83730709157868
6981.391990412184276.60800958781573
7084.435368010141293.56463198985871
7183.787414596313384.21258540368662
7222.5569058161014-0.556905816101402
7301.61901969083087-1.61901969083087
7452.392522958684472.60747704131553
7584.039479362387393.96052063761261
7621.577207856073790.422792143926213
7750.4113913962476624.58860860375234
78124.241813230064927.75818676993508
7962.339272645985543.66072735401446
8074.179335850908292.82066414909171
8121.950018769195010.0499812308049868
8202.15674890759565-2.15674890759565
8341.806051397909722.19394860209028
8432.281535194612810.718464805387189
8562.993580178088113.00641982191189
8621.944853254236280.0551467457637218
8702.93574909516333-2.93574909516333
8812.14888616803474-1.14888616803474
8903.46045101032143-3.46045101032143
9052.887514312719922.11248568728008
9122.59845885042778-0.598458850427778
920-0.1393872364556550.139387236455655
9302.25907165201212-2.25907165201212
9451.858010979480533.14198902051947
9501.29669084187588-1.29669084187588
9612.59478562827842-1.59478562827842
9704.54329036769831-4.54329036769831
9813.54087992755587-2.54087992755587
9913.37641873156071-2.37641873156071
10021.680203215510640.31979678448936
10162.563688965694483.43631103430552
10213.15628969737832-2.15628969737832
10342.568162369957571.43183763004243
10422.11966347889028-0.119663478890277
10531.71672973322591.2832702667741
10601.32670315527683-1.32670315527683
107105.556772622241124.44322737775888
10801.9596291466807-1.9596291466807
10991.854046380830957.14595361916905
11073.851402426784233.14859757321577
11101.96812623186161-1.96812623186161
11203.33064978009736-3.33064978009736
11341.65470050062752.3452994993725
11441.455406915204192.54459308479581
11502.50454434614121-2.50454434614121
11602.14793415069851-2.14793415069851
11701.72101917315008-1.72101917315008
11811.73316049129834-0.733160491298338
11902.09609249723966-2.09609249723966
12011.25756542081701-0.257565420817005
12101.60669420830446-1.60669420830446
12201.26336782349936-1.26336782349936
12341.248437288116892.75156271188311
12402.01304922067387-2.01304922067387
12542.664266810687381.33573318931262
12640.4710315002469013.5289684997531
12730.8736732936719862.12632670632801
12801.4284240304833-1.4284240304833
12902.81970133600803-2.81970133600803
1300-0.5042685319210210.504268531921021
13150.9498095620520544.05019043794795
13202.25269853239448-2.25269853239448
13340.399372607673133.60062739232687
13402.92710559233769-2.92710559233769
13502.77925400384016-2.77925400384016
13612.40282793041873-1.40282793041873
1370-0.3803663769208060.380366376920806
13852.188909952416812.81109004758319
13901.01812877830256-1.01812877830256
14000.178061101601825-0.178061101601825
14101.24688327459016-1.24688327459016
14201.57965795519383-1.57965795519383
14301.60042369154528-1.60042369154528
14422.95332426105095-0.953324261050945
14573.934236987376673.06576301262333
14612.03301031412868-1.03301031412868
14783.739835880278464.26016411972154
14822.63330979025118-0.633309790251175
14900.108427710228235-0.108427710228235
15023.23191412193662-1.23191412193663
15103.63897548920244-3.63897548920244
15204.08161456567116-4.08161456567116
15311.42603339735051-0.426033397350508
15433.3610044203828-0.3610044203828
15502.01143671474955-2.01143671474955
15633.94938498878997-0.949384988789974
15702.29339120993376-2.29339120993376
15800.197097075997344-0.197097075997344
15902.73159358844659-2.73159358844659
16042.896656597658511.10334340234149
16144.88970237886003-0.889702378860028
162113.234551917279037.76544808272097
16301.41556915490085-1.41556915490085
16403.88309536019927-3.88309536019927
16543.275252319791990.724747680208006
16602.17240395534834-2.17240395534834
16712.19378013465283-1.19378013465283
16802.92249584648286-2.92249584648286
16901.11266742212133-1.11266742212133
17001.94148759454275-1.94148759454275
17194.154739827736614.84526017226339
17211.83020993407669-0.830209934076694
17333.02160081066131-0.0216008106613108
174103.419331429175436.58066857082457
17551.974024351401963.02597564859804
17601.50735041605068-1.50735041605068
17723.44001099467457-1.44001099467457
17801.47030394935155-1.47030394935155
17912.63111552998279-1.63111552998279
18020.4005408123150621.59945918768494
18140.6165136578998583.38348634210014
18201.31827270622552-1.31827270622552
1830-0.6165769508372580.616576950837258
18423.25849519392362-1.25849519392362
18513.15334199745079-2.15334199745079
1860-0.7390908723977920.739090872397792
18700.0711062155872611-0.0711062155872611
1880-0.5410002711292150.541000271129215
18911.85730962892124-0.857309628921239
19002.66539901622878-2.66539901622878
19122.24641015405157-0.246410154051566
19201.86634618359446-1.86634618359446
19330.2791614163933642.72083858360664
19461.484793718509554.51520628149045
19501.81341590014941-1.81341590014941
19620.4858158083743121.51418419162569
19702.02606070358914-2.02606070358914
19820.941650927407241.05834907259276
19911.96952488897163-0.969524888971632
20010.9481056328452030.0518943671547966
20121.339892006109850.660107993890151
20212.06380429611644-1.06380429611644
20300.987170807319178-0.987170807319178
20411.4512709494151-0.451270949415103
20531.767795280491561.23220471950844
20601.90222222964872-1.90222222964872
20701.38827319410056-1.38827319410056
20801.51032026547395-1.51032026547395
20901.61619836722362-1.61619836722362
21012.0417334247114-1.0417334247114
21140.5160022952184363.48399770478156
21201.4949473146581-1.4949473146581
21301.22927065321888-1.22927065321888
21401.03249062218027-1.03249062218027
21573.231002878015833.76899712198417
21622.28821759669651-0.288217596696515
21701.12385777502646-1.12385777502646
21870.809060069403386.19093993059662
21931.040027512835971.95997248716403
22001.26946745772078-1.26946745772078
22102.04617840470843-2.04617840470843
22262.803383857083183.19661614291682
22321.609005965606830.390994034393171
22401.34620313361122-1.34620313361122
22501.23714765964511-1.23714765964511
22630.8554056508112512.14459434918875
2270-0.1495325507630240.149532550763024
22811.24390441612222-0.243904416122224
22911.00365332449567-0.00365332449566865
23002.62110196424258-2.62110196424258
23111.72740479047261-0.72740479047261
23200.962692435320206-0.962692435320206
23301.84835439902025-1.84835439902025
23401.24813713640461-1.24813713640461
23501.79980149299962-1.79980149299962
23601.0290777362065-1.0290777362065
23701.82762937918635-1.82762937918635
23801.32630963834232-1.32630963834232
23901.11192051870807-1.11192051870807
24001.30180853495681-1.30180853495681
24101.4083676209497-1.4083676209497
24202.52432960219722-2.52432960219722
24300.903441572540843-0.903441572540843
24420.978539304948031.02146069505197
24500.982590917777268-0.982590917777268
24611.5987496646847-0.598749664684697
24711.33751488709035-0.337514887090349
24801.13996877793296-1.13996877793296
24900.493228154443097-0.493228154443097
25000.1900374286472-0.1900374286472
25102.04216685705137-2.04216685705137
25201.24477040146342-1.24477040146342
2530-0.8429119535491450.842911953549145
25411.79915827835157-0.799158278351566
25501.91686287463188-1.91686287463188
2560-0.006378718232187030.00637871823218703
25700.339349864960604-0.339349864960604
25800.996285870297958-0.996285870297958
25911.16939970199752-0.169399701997516
26000.29840798324526-0.29840798324526
26101.43018948085302-1.43018948085302
26200.433253151242841-0.433253151242841
26300.421346855891736-0.421346855891736
26400.794920324467151-0.794920324467151
26501.05974486975687-1.05974486975687
26600.747824672503609-0.747824672503609
26701.19002427391963-1.19002427391963
26800.359607996739883-0.359607996739883
26900.634015865740314-0.634015865740314
27001.6313669694287-1.6313669694287
27112.12879746060387-1.12879746060387
27201.09086140291134-1.09086140291134
2730-0.3791667358497580.379166735849758
27410.8247852815500580.175214718449942
27500.457228714599712-0.457228714599712
27661.62581197648764.3741880235124
27731.097604782301731.90239521769827
2781-0.5933750692685471.59337506926855
27921.112299550144070.88770044985593
28001.32607571972503-1.32607571972503
28101.3809666926672-1.3809666926672
28201.20565522067341-1.20565522067341
28331.067351062889551.93264893711045
2841-0.136023393056771.13602339305677
28501.39031756801407-1.39031756801407
28602.27725818262403-2.27725818262403
28711.05280369286326-0.0528036928632623
28800.911584400012886-0.911584400012886
28901.51515645900194-1.51515645900194

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 3 & 1.70368006840109 & 1.29631993159891 \tabularnewline
2 & 4 & 1.72724446589946 & 2.27275553410054 \tabularnewline
3 & 12 & 3.79882740831653 & 8.20117259168347 \tabularnewline
4 & 2 & 2.03331528943929 & -0.0333152894392934 \tabularnewline
5 & 1 & 1.35081669043599 & -0.35081669043599 \tabularnewline
6 & 3 & 2.6248892602439 & 0.375110739756101 \tabularnewline
7 & 0 & 2.5108297766184 & -2.5108297766184 \tabularnewline
8 & 0 & 1.46750135866826 & -1.46750135866826 \tabularnewline
9 & 0 & 0.72648455272508 & -0.72648455272508 \tabularnewline
10 & 5 & 2.75219523664582 & 2.24780476335418 \tabularnewline
11 & 0 & 1.79034337336231 & -1.79034337336231 \tabularnewline
12 & 0 & 3.27350092326065 & -3.27350092326065 \tabularnewline
13 & 7 & 3.89905405266473 & 3.10094594733527 \tabularnewline
14 & 7 & 3.08458598105471 & 3.91541401894529 \tabularnewline
15 & 3 & 3.39347215010466 & -0.393472150104661 \tabularnewline
16 & 9 & 3.26846807861571 & 5.73153192138429 \tabularnewline
17 & 0 & 5.44722114464701 & -5.44722114464701 \tabularnewline
18 & 4 & 1.93885819317718 & 2.06114180682282 \tabularnewline
19 & 3 & 3.04094828711691 & -0.0409482871169105 \tabularnewline
20 & 0 & 0.97578580512675 & -0.97578580512675 \tabularnewline
21 & 7 & 2.74729884097028 & 4.25270115902972 \tabularnewline
22 & 0 & 2.7194518564433 & -2.7194518564433 \tabularnewline
23 & 1 & 2.44965235326321 & -1.44965235326321 \tabularnewline
24 & 5 & 1.92948451048535 & 3.07051548951465 \tabularnewline
25 & 7 & 3.18223965587261 & 3.81776034412739 \tabularnewline
26 & 0 & 2.61786005832248 & -2.61786005832248 \tabularnewline
27 & 0 & 3.48299431256561 & -3.48299431256561 \tabularnewline
28 & 5 & 3.24057889445706 & 1.75942110554294 \tabularnewline
29 & 0 & 2.06287130226606 & -2.06287130226606 \tabularnewline
30 & 0 & 2.25993644281144 & -2.25993644281144 \tabularnewline
31 & 0 & 1.79989901942262 & -1.79989901942262 \tabularnewline
32 & 3 & 2.84152214549569 & 0.158477854504311 \tabularnewline
33 & 4 & 4.54169695028806 & -0.541696950288056 \tabularnewline
34 & 1 & 3.16590831930026 & -2.16590831930026 \tabularnewline
35 & 4 & 2.69810569816773 & 1.30189430183227 \tabularnewline
36 & 2 & 2.9896905936718 & -0.989690593671798 \tabularnewline
37 & 0 & 0.624527229288023 & -0.624527229288023 \tabularnewline
38 & 0 & 3.1260674878448 & -3.1260674878448 \tabularnewline
39 & 0 & 4.00796717896054 & -4.00796717896054 \tabularnewline
40 & 0 & -0.53782477786625 & 0.53782477786625 \tabularnewline
41 & 2 & 2.45577823642534 & -0.455778236425343 \tabularnewline
42 & 1 & 0.803298242543707 & 0.196701757456293 \tabularnewline
43 & 0 & 1.52842759447193 & -1.52842759447193 \tabularnewline
44 & 2 & 3.53568863106415 & -1.53568863106415 \tabularnewline
45 & 10 & 3.52237060268046 & 6.47762939731954 \tabularnewline
46 & 6 & 3.17904573752304 & 2.82095426247696 \tabularnewline
47 & 0 & 2.8897309516554 & -2.8897309516554 \tabularnewline
48 & 5 & 2.21369076654033 & 2.78630923345967 \tabularnewline
49 & 4 & 2.68043384841831 & 1.31956615158169 \tabularnewline
50 & 1 & 5.47187714419644 & -4.47187714419644 \tabularnewline
51 & 2 & 0.236495059929608 & 1.76350494007039 \tabularnewline
52 & 2 & 2.58926166245569 & -0.589261662455692 \tabularnewline
53 & 0 & 3.47275227725141 & -3.47275227725141 \tabularnewline
54 & 8 & 4.58887733659653 & 3.41112266340347 \tabularnewline
55 & 3 & 2.99123042571292 & 0.00876957428707749 \tabularnewline
56 & 0 & 2.20985691444935 & -2.20985691444935 \tabularnewline
57 & 0 & 0.0285051157016622 & -0.0285051157016622 \tabularnewline
58 & 8 & 3.76448201650679 & 4.23551798349321 \tabularnewline
59 & 5 & 1.68225289955243 & 3.31774710044757 \tabularnewline
60 & 3 & 1.02724578716558 & 1.97275421283442 \tabularnewline
61 & 1 & 2.83002666936002 & -1.83002666936002 \tabularnewline
62 & 5 & 4.07752974814729 & 0.922470251852705 \tabularnewline
63 & 1 & 3.7009506360303 & -2.7009506360303 \tabularnewline
64 & 1 & 1.28010551601012 & -0.280105516010116 \tabularnewline
65 & 5 & 2.26151999224059 & 2.73848000775941 \tabularnewline
66 & 0 & 2.30231525769606 & -2.30231525769606 \tabularnewline
67 & 12 & 2.34932739920844 & 9.65067260079156 \tabularnewline
68 & 8 & 4.16269290842132 & 3.83730709157868 \tabularnewline
69 & 8 & 1.39199041218427 & 6.60800958781573 \tabularnewline
70 & 8 & 4.43536801014129 & 3.56463198985871 \tabularnewline
71 & 8 & 3.78741459631338 & 4.21258540368662 \tabularnewline
72 & 2 & 2.5569058161014 & -0.556905816101402 \tabularnewline
73 & 0 & 1.61901969083087 & -1.61901969083087 \tabularnewline
74 & 5 & 2.39252295868447 & 2.60747704131553 \tabularnewline
75 & 8 & 4.03947936238739 & 3.96052063761261 \tabularnewline
76 & 2 & 1.57720785607379 & 0.422792143926213 \tabularnewline
77 & 5 & 0.411391396247662 & 4.58860860375234 \tabularnewline
78 & 12 & 4.24181323006492 & 7.75818676993508 \tabularnewline
79 & 6 & 2.33927264598554 & 3.66072735401446 \tabularnewline
80 & 7 & 4.17933585090829 & 2.82066414909171 \tabularnewline
81 & 2 & 1.95001876919501 & 0.0499812308049868 \tabularnewline
82 & 0 & 2.15674890759565 & -2.15674890759565 \tabularnewline
83 & 4 & 1.80605139790972 & 2.19394860209028 \tabularnewline
84 & 3 & 2.28153519461281 & 0.718464805387189 \tabularnewline
85 & 6 & 2.99358017808811 & 3.00641982191189 \tabularnewline
86 & 2 & 1.94485325423628 & 0.0551467457637218 \tabularnewline
87 & 0 & 2.93574909516333 & -2.93574909516333 \tabularnewline
88 & 1 & 2.14888616803474 & -1.14888616803474 \tabularnewline
89 & 0 & 3.46045101032143 & -3.46045101032143 \tabularnewline
90 & 5 & 2.88751431271992 & 2.11248568728008 \tabularnewline
91 & 2 & 2.59845885042778 & -0.598458850427778 \tabularnewline
92 & 0 & -0.139387236455655 & 0.139387236455655 \tabularnewline
93 & 0 & 2.25907165201212 & -2.25907165201212 \tabularnewline
94 & 5 & 1.85801097948053 & 3.14198902051947 \tabularnewline
95 & 0 & 1.29669084187588 & -1.29669084187588 \tabularnewline
96 & 1 & 2.59478562827842 & -1.59478562827842 \tabularnewline
97 & 0 & 4.54329036769831 & -4.54329036769831 \tabularnewline
98 & 1 & 3.54087992755587 & -2.54087992755587 \tabularnewline
99 & 1 & 3.37641873156071 & -2.37641873156071 \tabularnewline
100 & 2 & 1.68020321551064 & 0.31979678448936 \tabularnewline
101 & 6 & 2.56368896569448 & 3.43631103430552 \tabularnewline
102 & 1 & 3.15628969737832 & -2.15628969737832 \tabularnewline
103 & 4 & 2.56816236995757 & 1.43183763004243 \tabularnewline
104 & 2 & 2.11966347889028 & -0.119663478890277 \tabularnewline
105 & 3 & 1.7167297332259 & 1.2832702667741 \tabularnewline
106 & 0 & 1.32670315527683 & -1.32670315527683 \tabularnewline
107 & 10 & 5.55677262224112 & 4.44322737775888 \tabularnewline
108 & 0 & 1.9596291466807 & -1.9596291466807 \tabularnewline
109 & 9 & 1.85404638083095 & 7.14595361916905 \tabularnewline
110 & 7 & 3.85140242678423 & 3.14859757321577 \tabularnewline
111 & 0 & 1.96812623186161 & -1.96812623186161 \tabularnewline
112 & 0 & 3.33064978009736 & -3.33064978009736 \tabularnewline
113 & 4 & 1.6547005006275 & 2.3452994993725 \tabularnewline
114 & 4 & 1.45540691520419 & 2.54459308479581 \tabularnewline
115 & 0 & 2.50454434614121 & -2.50454434614121 \tabularnewline
116 & 0 & 2.14793415069851 & -2.14793415069851 \tabularnewline
117 & 0 & 1.72101917315008 & -1.72101917315008 \tabularnewline
118 & 1 & 1.73316049129834 & -0.733160491298338 \tabularnewline
119 & 0 & 2.09609249723966 & -2.09609249723966 \tabularnewline
120 & 1 & 1.25756542081701 & -0.257565420817005 \tabularnewline
121 & 0 & 1.60669420830446 & -1.60669420830446 \tabularnewline
122 & 0 & 1.26336782349936 & -1.26336782349936 \tabularnewline
123 & 4 & 1.24843728811689 & 2.75156271188311 \tabularnewline
124 & 0 & 2.01304922067387 & -2.01304922067387 \tabularnewline
125 & 4 & 2.66426681068738 & 1.33573318931262 \tabularnewline
126 & 4 & 0.471031500246901 & 3.5289684997531 \tabularnewline
127 & 3 & 0.873673293671986 & 2.12632670632801 \tabularnewline
128 & 0 & 1.4284240304833 & -1.4284240304833 \tabularnewline
129 & 0 & 2.81970133600803 & -2.81970133600803 \tabularnewline
130 & 0 & -0.504268531921021 & 0.504268531921021 \tabularnewline
131 & 5 & 0.949809562052054 & 4.05019043794795 \tabularnewline
132 & 0 & 2.25269853239448 & -2.25269853239448 \tabularnewline
133 & 4 & 0.39937260767313 & 3.60062739232687 \tabularnewline
134 & 0 & 2.92710559233769 & -2.92710559233769 \tabularnewline
135 & 0 & 2.77925400384016 & -2.77925400384016 \tabularnewline
136 & 1 & 2.40282793041873 & -1.40282793041873 \tabularnewline
137 & 0 & -0.380366376920806 & 0.380366376920806 \tabularnewline
138 & 5 & 2.18890995241681 & 2.81109004758319 \tabularnewline
139 & 0 & 1.01812877830256 & -1.01812877830256 \tabularnewline
140 & 0 & 0.178061101601825 & -0.178061101601825 \tabularnewline
141 & 0 & 1.24688327459016 & -1.24688327459016 \tabularnewline
142 & 0 & 1.57965795519383 & -1.57965795519383 \tabularnewline
143 & 0 & 1.60042369154528 & -1.60042369154528 \tabularnewline
144 & 2 & 2.95332426105095 & -0.953324261050945 \tabularnewline
145 & 7 & 3.93423698737667 & 3.06576301262333 \tabularnewline
146 & 1 & 2.03301031412868 & -1.03301031412868 \tabularnewline
147 & 8 & 3.73983588027846 & 4.26016411972154 \tabularnewline
148 & 2 & 2.63330979025118 & -0.633309790251175 \tabularnewline
149 & 0 & 0.108427710228235 & -0.108427710228235 \tabularnewline
150 & 2 & 3.23191412193662 & -1.23191412193663 \tabularnewline
151 & 0 & 3.63897548920244 & -3.63897548920244 \tabularnewline
152 & 0 & 4.08161456567116 & -4.08161456567116 \tabularnewline
153 & 1 & 1.42603339735051 & -0.426033397350508 \tabularnewline
154 & 3 & 3.3610044203828 & -0.3610044203828 \tabularnewline
155 & 0 & 2.01143671474955 & -2.01143671474955 \tabularnewline
156 & 3 & 3.94938498878997 & -0.949384988789974 \tabularnewline
157 & 0 & 2.29339120993376 & -2.29339120993376 \tabularnewline
158 & 0 & 0.197097075997344 & -0.197097075997344 \tabularnewline
159 & 0 & 2.73159358844659 & -2.73159358844659 \tabularnewline
160 & 4 & 2.89665659765851 & 1.10334340234149 \tabularnewline
161 & 4 & 4.88970237886003 & -0.889702378860028 \tabularnewline
162 & 11 & 3.23455191727903 & 7.76544808272097 \tabularnewline
163 & 0 & 1.41556915490085 & -1.41556915490085 \tabularnewline
164 & 0 & 3.88309536019927 & -3.88309536019927 \tabularnewline
165 & 4 & 3.27525231979199 & 0.724747680208006 \tabularnewline
166 & 0 & 2.17240395534834 & -2.17240395534834 \tabularnewline
167 & 1 & 2.19378013465283 & -1.19378013465283 \tabularnewline
168 & 0 & 2.92249584648286 & -2.92249584648286 \tabularnewline
169 & 0 & 1.11266742212133 & -1.11266742212133 \tabularnewline
170 & 0 & 1.94148759454275 & -1.94148759454275 \tabularnewline
171 & 9 & 4.15473982773661 & 4.84526017226339 \tabularnewline
172 & 1 & 1.83020993407669 & -0.830209934076694 \tabularnewline
173 & 3 & 3.02160081066131 & -0.0216008106613108 \tabularnewline
174 & 10 & 3.41933142917543 & 6.58066857082457 \tabularnewline
175 & 5 & 1.97402435140196 & 3.02597564859804 \tabularnewline
176 & 0 & 1.50735041605068 & -1.50735041605068 \tabularnewline
177 & 2 & 3.44001099467457 & -1.44001099467457 \tabularnewline
178 & 0 & 1.47030394935155 & -1.47030394935155 \tabularnewline
179 & 1 & 2.63111552998279 & -1.63111552998279 \tabularnewline
180 & 2 & 0.400540812315062 & 1.59945918768494 \tabularnewline
181 & 4 & 0.616513657899858 & 3.38348634210014 \tabularnewline
182 & 0 & 1.31827270622552 & -1.31827270622552 \tabularnewline
183 & 0 & -0.616576950837258 & 0.616576950837258 \tabularnewline
184 & 2 & 3.25849519392362 & -1.25849519392362 \tabularnewline
185 & 1 & 3.15334199745079 & -2.15334199745079 \tabularnewline
186 & 0 & -0.739090872397792 & 0.739090872397792 \tabularnewline
187 & 0 & 0.0711062155872611 & -0.0711062155872611 \tabularnewline
188 & 0 & -0.541000271129215 & 0.541000271129215 \tabularnewline
189 & 1 & 1.85730962892124 & -0.857309628921239 \tabularnewline
190 & 0 & 2.66539901622878 & -2.66539901622878 \tabularnewline
191 & 2 & 2.24641015405157 & -0.246410154051566 \tabularnewline
192 & 0 & 1.86634618359446 & -1.86634618359446 \tabularnewline
193 & 3 & 0.279161416393364 & 2.72083858360664 \tabularnewline
194 & 6 & 1.48479371850955 & 4.51520628149045 \tabularnewline
195 & 0 & 1.81341590014941 & -1.81341590014941 \tabularnewline
196 & 2 & 0.485815808374312 & 1.51418419162569 \tabularnewline
197 & 0 & 2.02606070358914 & -2.02606070358914 \tabularnewline
198 & 2 & 0.94165092740724 & 1.05834907259276 \tabularnewline
199 & 1 & 1.96952488897163 & -0.969524888971632 \tabularnewline
200 & 1 & 0.948105632845203 & 0.0518943671547966 \tabularnewline
201 & 2 & 1.33989200610985 & 0.660107993890151 \tabularnewline
202 & 1 & 2.06380429611644 & -1.06380429611644 \tabularnewline
203 & 0 & 0.987170807319178 & -0.987170807319178 \tabularnewline
204 & 1 & 1.4512709494151 & -0.451270949415103 \tabularnewline
205 & 3 & 1.76779528049156 & 1.23220471950844 \tabularnewline
206 & 0 & 1.90222222964872 & -1.90222222964872 \tabularnewline
207 & 0 & 1.38827319410056 & -1.38827319410056 \tabularnewline
208 & 0 & 1.51032026547395 & -1.51032026547395 \tabularnewline
209 & 0 & 1.61619836722362 & -1.61619836722362 \tabularnewline
210 & 1 & 2.0417334247114 & -1.0417334247114 \tabularnewline
211 & 4 & 0.516002295218436 & 3.48399770478156 \tabularnewline
212 & 0 & 1.4949473146581 & -1.4949473146581 \tabularnewline
213 & 0 & 1.22927065321888 & -1.22927065321888 \tabularnewline
214 & 0 & 1.03249062218027 & -1.03249062218027 \tabularnewline
215 & 7 & 3.23100287801583 & 3.76899712198417 \tabularnewline
216 & 2 & 2.28821759669651 & -0.288217596696515 \tabularnewline
217 & 0 & 1.12385777502646 & -1.12385777502646 \tabularnewline
218 & 7 & 0.80906006940338 & 6.19093993059662 \tabularnewline
219 & 3 & 1.04002751283597 & 1.95997248716403 \tabularnewline
220 & 0 & 1.26946745772078 & -1.26946745772078 \tabularnewline
221 & 0 & 2.04617840470843 & -2.04617840470843 \tabularnewline
222 & 6 & 2.80338385708318 & 3.19661614291682 \tabularnewline
223 & 2 & 1.60900596560683 & 0.390994034393171 \tabularnewline
224 & 0 & 1.34620313361122 & -1.34620313361122 \tabularnewline
225 & 0 & 1.23714765964511 & -1.23714765964511 \tabularnewline
226 & 3 & 0.855405650811251 & 2.14459434918875 \tabularnewline
227 & 0 & -0.149532550763024 & 0.149532550763024 \tabularnewline
228 & 1 & 1.24390441612222 & -0.243904416122224 \tabularnewline
229 & 1 & 1.00365332449567 & -0.00365332449566865 \tabularnewline
230 & 0 & 2.62110196424258 & -2.62110196424258 \tabularnewline
231 & 1 & 1.72740479047261 & -0.72740479047261 \tabularnewline
232 & 0 & 0.962692435320206 & -0.962692435320206 \tabularnewline
233 & 0 & 1.84835439902025 & -1.84835439902025 \tabularnewline
234 & 0 & 1.24813713640461 & -1.24813713640461 \tabularnewline
235 & 0 & 1.79980149299962 & -1.79980149299962 \tabularnewline
236 & 0 & 1.0290777362065 & -1.0290777362065 \tabularnewline
237 & 0 & 1.82762937918635 & -1.82762937918635 \tabularnewline
238 & 0 & 1.32630963834232 & -1.32630963834232 \tabularnewline
239 & 0 & 1.11192051870807 & -1.11192051870807 \tabularnewline
240 & 0 & 1.30180853495681 & -1.30180853495681 \tabularnewline
241 & 0 & 1.4083676209497 & -1.4083676209497 \tabularnewline
242 & 0 & 2.52432960219722 & -2.52432960219722 \tabularnewline
243 & 0 & 0.903441572540843 & -0.903441572540843 \tabularnewline
244 & 2 & 0.97853930494803 & 1.02146069505197 \tabularnewline
245 & 0 & 0.982590917777268 & -0.982590917777268 \tabularnewline
246 & 1 & 1.5987496646847 & -0.598749664684697 \tabularnewline
247 & 1 & 1.33751488709035 & -0.337514887090349 \tabularnewline
248 & 0 & 1.13996877793296 & -1.13996877793296 \tabularnewline
249 & 0 & 0.493228154443097 & -0.493228154443097 \tabularnewline
250 & 0 & 0.1900374286472 & -0.1900374286472 \tabularnewline
251 & 0 & 2.04216685705137 & -2.04216685705137 \tabularnewline
252 & 0 & 1.24477040146342 & -1.24477040146342 \tabularnewline
253 & 0 & -0.842911953549145 & 0.842911953549145 \tabularnewline
254 & 1 & 1.79915827835157 & -0.799158278351566 \tabularnewline
255 & 0 & 1.91686287463188 & -1.91686287463188 \tabularnewline
256 & 0 & -0.00637871823218703 & 0.00637871823218703 \tabularnewline
257 & 0 & 0.339349864960604 & -0.339349864960604 \tabularnewline
258 & 0 & 0.996285870297958 & -0.996285870297958 \tabularnewline
259 & 1 & 1.16939970199752 & -0.169399701997516 \tabularnewline
260 & 0 & 0.29840798324526 & -0.29840798324526 \tabularnewline
261 & 0 & 1.43018948085302 & -1.43018948085302 \tabularnewline
262 & 0 & 0.433253151242841 & -0.433253151242841 \tabularnewline
263 & 0 & 0.421346855891736 & -0.421346855891736 \tabularnewline
264 & 0 & 0.794920324467151 & -0.794920324467151 \tabularnewline
265 & 0 & 1.05974486975687 & -1.05974486975687 \tabularnewline
266 & 0 & 0.747824672503609 & -0.747824672503609 \tabularnewline
267 & 0 & 1.19002427391963 & -1.19002427391963 \tabularnewline
268 & 0 & 0.359607996739883 & -0.359607996739883 \tabularnewline
269 & 0 & 0.634015865740314 & -0.634015865740314 \tabularnewline
270 & 0 & 1.6313669694287 & -1.6313669694287 \tabularnewline
271 & 1 & 2.12879746060387 & -1.12879746060387 \tabularnewline
272 & 0 & 1.09086140291134 & -1.09086140291134 \tabularnewline
273 & 0 & -0.379166735849758 & 0.379166735849758 \tabularnewline
274 & 1 & 0.824785281550058 & 0.175214718449942 \tabularnewline
275 & 0 & 0.457228714599712 & -0.457228714599712 \tabularnewline
276 & 6 & 1.6258119764876 & 4.3741880235124 \tabularnewline
277 & 3 & 1.09760478230173 & 1.90239521769827 \tabularnewline
278 & 1 & -0.593375069268547 & 1.59337506926855 \tabularnewline
279 & 2 & 1.11229955014407 & 0.88770044985593 \tabularnewline
280 & 0 & 1.32607571972503 & -1.32607571972503 \tabularnewline
281 & 0 & 1.3809666926672 & -1.3809666926672 \tabularnewline
282 & 0 & 1.20565522067341 & -1.20565522067341 \tabularnewline
283 & 3 & 1.06735106288955 & 1.93264893711045 \tabularnewline
284 & 1 & -0.13602339305677 & 1.13602339305677 \tabularnewline
285 & 0 & 1.39031756801407 & -1.39031756801407 \tabularnewline
286 & 0 & 2.27725818262403 & -2.27725818262403 \tabularnewline
287 & 1 & 1.05280369286326 & -0.0528036928632623 \tabularnewline
288 & 0 & 0.911584400012886 & -0.911584400012886 \tabularnewline
289 & 0 & 1.51515645900194 & -1.51515645900194 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197424&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]3[/C][C]1.70368006840109[/C][C]1.29631993159891[/C][/ROW]
[ROW][C]2[/C][C]4[/C][C]1.72724446589946[/C][C]2.27275553410054[/C][/ROW]
[ROW][C]3[/C][C]12[/C][C]3.79882740831653[/C][C]8.20117259168347[/C][/ROW]
[ROW][C]4[/C][C]2[/C][C]2.03331528943929[/C][C]-0.0333152894392934[/C][/ROW]
[ROW][C]5[/C][C]1[/C][C]1.35081669043599[/C][C]-0.35081669043599[/C][/ROW]
[ROW][C]6[/C][C]3[/C][C]2.6248892602439[/C][C]0.375110739756101[/C][/ROW]
[ROW][C]7[/C][C]0[/C][C]2.5108297766184[/C][C]-2.5108297766184[/C][/ROW]
[ROW][C]8[/C][C]0[/C][C]1.46750135866826[/C][C]-1.46750135866826[/C][/ROW]
[ROW][C]9[/C][C]0[/C][C]0.72648455272508[/C][C]-0.72648455272508[/C][/ROW]
[ROW][C]10[/C][C]5[/C][C]2.75219523664582[/C][C]2.24780476335418[/C][/ROW]
[ROW][C]11[/C][C]0[/C][C]1.79034337336231[/C][C]-1.79034337336231[/C][/ROW]
[ROW][C]12[/C][C]0[/C][C]3.27350092326065[/C][C]-3.27350092326065[/C][/ROW]
[ROW][C]13[/C][C]7[/C][C]3.89905405266473[/C][C]3.10094594733527[/C][/ROW]
[ROW][C]14[/C][C]7[/C][C]3.08458598105471[/C][C]3.91541401894529[/C][/ROW]
[ROW][C]15[/C][C]3[/C][C]3.39347215010466[/C][C]-0.393472150104661[/C][/ROW]
[ROW][C]16[/C][C]9[/C][C]3.26846807861571[/C][C]5.73153192138429[/C][/ROW]
[ROW][C]17[/C][C]0[/C][C]5.44722114464701[/C][C]-5.44722114464701[/C][/ROW]
[ROW][C]18[/C][C]4[/C][C]1.93885819317718[/C][C]2.06114180682282[/C][/ROW]
[ROW][C]19[/C][C]3[/C][C]3.04094828711691[/C][C]-0.0409482871169105[/C][/ROW]
[ROW][C]20[/C][C]0[/C][C]0.97578580512675[/C][C]-0.97578580512675[/C][/ROW]
[ROW][C]21[/C][C]7[/C][C]2.74729884097028[/C][C]4.25270115902972[/C][/ROW]
[ROW][C]22[/C][C]0[/C][C]2.7194518564433[/C][C]-2.7194518564433[/C][/ROW]
[ROW][C]23[/C][C]1[/C][C]2.44965235326321[/C][C]-1.44965235326321[/C][/ROW]
[ROW][C]24[/C][C]5[/C][C]1.92948451048535[/C][C]3.07051548951465[/C][/ROW]
[ROW][C]25[/C][C]7[/C][C]3.18223965587261[/C][C]3.81776034412739[/C][/ROW]
[ROW][C]26[/C][C]0[/C][C]2.61786005832248[/C][C]-2.61786005832248[/C][/ROW]
[ROW][C]27[/C][C]0[/C][C]3.48299431256561[/C][C]-3.48299431256561[/C][/ROW]
[ROW][C]28[/C][C]5[/C][C]3.24057889445706[/C][C]1.75942110554294[/C][/ROW]
[ROW][C]29[/C][C]0[/C][C]2.06287130226606[/C][C]-2.06287130226606[/C][/ROW]
[ROW][C]30[/C][C]0[/C][C]2.25993644281144[/C][C]-2.25993644281144[/C][/ROW]
[ROW][C]31[/C][C]0[/C][C]1.79989901942262[/C][C]-1.79989901942262[/C][/ROW]
[ROW][C]32[/C][C]3[/C][C]2.84152214549569[/C][C]0.158477854504311[/C][/ROW]
[ROW][C]33[/C][C]4[/C][C]4.54169695028806[/C][C]-0.541696950288056[/C][/ROW]
[ROW][C]34[/C][C]1[/C][C]3.16590831930026[/C][C]-2.16590831930026[/C][/ROW]
[ROW][C]35[/C][C]4[/C][C]2.69810569816773[/C][C]1.30189430183227[/C][/ROW]
[ROW][C]36[/C][C]2[/C][C]2.9896905936718[/C][C]-0.989690593671798[/C][/ROW]
[ROW][C]37[/C][C]0[/C][C]0.624527229288023[/C][C]-0.624527229288023[/C][/ROW]
[ROW][C]38[/C][C]0[/C][C]3.1260674878448[/C][C]-3.1260674878448[/C][/ROW]
[ROW][C]39[/C][C]0[/C][C]4.00796717896054[/C][C]-4.00796717896054[/C][/ROW]
[ROW][C]40[/C][C]0[/C][C]-0.53782477786625[/C][C]0.53782477786625[/C][/ROW]
[ROW][C]41[/C][C]2[/C][C]2.45577823642534[/C][C]-0.455778236425343[/C][/ROW]
[ROW][C]42[/C][C]1[/C][C]0.803298242543707[/C][C]0.196701757456293[/C][/ROW]
[ROW][C]43[/C][C]0[/C][C]1.52842759447193[/C][C]-1.52842759447193[/C][/ROW]
[ROW][C]44[/C][C]2[/C][C]3.53568863106415[/C][C]-1.53568863106415[/C][/ROW]
[ROW][C]45[/C][C]10[/C][C]3.52237060268046[/C][C]6.47762939731954[/C][/ROW]
[ROW][C]46[/C][C]6[/C][C]3.17904573752304[/C][C]2.82095426247696[/C][/ROW]
[ROW][C]47[/C][C]0[/C][C]2.8897309516554[/C][C]-2.8897309516554[/C][/ROW]
[ROW][C]48[/C][C]5[/C][C]2.21369076654033[/C][C]2.78630923345967[/C][/ROW]
[ROW][C]49[/C][C]4[/C][C]2.68043384841831[/C][C]1.31956615158169[/C][/ROW]
[ROW][C]50[/C][C]1[/C][C]5.47187714419644[/C][C]-4.47187714419644[/C][/ROW]
[ROW][C]51[/C][C]2[/C][C]0.236495059929608[/C][C]1.76350494007039[/C][/ROW]
[ROW][C]52[/C][C]2[/C][C]2.58926166245569[/C][C]-0.589261662455692[/C][/ROW]
[ROW][C]53[/C][C]0[/C][C]3.47275227725141[/C][C]-3.47275227725141[/C][/ROW]
[ROW][C]54[/C][C]8[/C][C]4.58887733659653[/C][C]3.41112266340347[/C][/ROW]
[ROW][C]55[/C][C]3[/C][C]2.99123042571292[/C][C]0.00876957428707749[/C][/ROW]
[ROW][C]56[/C][C]0[/C][C]2.20985691444935[/C][C]-2.20985691444935[/C][/ROW]
[ROW][C]57[/C][C]0[/C][C]0.0285051157016622[/C][C]-0.0285051157016622[/C][/ROW]
[ROW][C]58[/C][C]8[/C][C]3.76448201650679[/C][C]4.23551798349321[/C][/ROW]
[ROW][C]59[/C][C]5[/C][C]1.68225289955243[/C][C]3.31774710044757[/C][/ROW]
[ROW][C]60[/C][C]3[/C][C]1.02724578716558[/C][C]1.97275421283442[/C][/ROW]
[ROW][C]61[/C][C]1[/C][C]2.83002666936002[/C][C]-1.83002666936002[/C][/ROW]
[ROW][C]62[/C][C]5[/C][C]4.07752974814729[/C][C]0.922470251852705[/C][/ROW]
[ROW][C]63[/C][C]1[/C][C]3.7009506360303[/C][C]-2.7009506360303[/C][/ROW]
[ROW][C]64[/C][C]1[/C][C]1.28010551601012[/C][C]-0.280105516010116[/C][/ROW]
[ROW][C]65[/C][C]5[/C][C]2.26151999224059[/C][C]2.73848000775941[/C][/ROW]
[ROW][C]66[/C][C]0[/C][C]2.30231525769606[/C][C]-2.30231525769606[/C][/ROW]
[ROW][C]67[/C][C]12[/C][C]2.34932739920844[/C][C]9.65067260079156[/C][/ROW]
[ROW][C]68[/C][C]8[/C][C]4.16269290842132[/C][C]3.83730709157868[/C][/ROW]
[ROW][C]69[/C][C]8[/C][C]1.39199041218427[/C][C]6.60800958781573[/C][/ROW]
[ROW][C]70[/C][C]8[/C][C]4.43536801014129[/C][C]3.56463198985871[/C][/ROW]
[ROW][C]71[/C][C]8[/C][C]3.78741459631338[/C][C]4.21258540368662[/C][/ROW]
[ROW][C]72[/C][C]2[/C][C]2.5569058161014[/C][C]-0.556905816101402[/C][/ROW]
[ROW][C]73[/C][C]0[/C][C]1.61901969083087[/C][C]-1.61901969083087[/C][/ROW]
[ROW][C]74[/C][C]5[/C][C]2.39252295868447[/C][C]2.60747704131553[/C][/ROW]
[ROW][C]75[/C][C]8[/C][C]4.03947936238739[/C][C]3.96052063761261[/C][/ROW]
[ROW][C]76[/C][C]2[/C][C]1.57720785607379[/C][C]0.422792143926213[/C][/ROW]
[ROW][C]77[/C][C]5[/C][C]0.411391396247662[/C][C]4.58860860375234[/C][/ROW]
[ROW][C]78[/C][C]12[/C][C]4.24181323006492[/C][C]7.75818676993508[/C][/ROW]
[ROW][C]79[/C][C]6[/C][C]2.33927264598554[/C][C]3.66072735401446[/C][/ROW]
[ROW][C]80[/C][C]7[/C][C]4.17933585090829[/C][C]2.82066414909171[/C][/ROW]
[ROW][C]81[/C][C]2[/C][C]1.95001876919501[/C][C]0.0499812308049868[/C][/ROW]
[ROW][C]82[/C][C]0[/C][C]2.15674890759565[/C][C]-2.15674890759565[/C][/ROW]
[ROW][C]83[/C][C]4[/C][C]1.80605139790972[/C][C]2.19394860209028[/C][/ROW]
[ROW][C]84[/C][C]3[/C][C]2.28153519461281[/C][C]0.718464805387189[/C][/ROW]
[ROW][C]85[/C][C]6[/C][C]2.99358017808811[/C][C]3.00641982191189[/C][/ROW]
[ROW][C]86[/C][C]2[/C][C]1.94485325423628[/C][C]0.0551467457637218[/C][/ROW]
[ROW][C]87[/C][C]0[/C][C]2.93574909516333[/C][C]-2.93574909516333[/C][/ROW]
[ROW][C]88[/C][C]1[/C][C]2.14888616803474[/C][C]-1.14888616803474[/C][/ROW]
[ROW][C]89[/C][C]0[/C][C]3.46045101032143[/C][C]-3.46045101032143[/C][/ROW]
[ROW][C]90[/C][C]5[/C][C]2.88751431271992[/C][C]2.11248568728008[/C][/ROW]
[ROW][C]91[/C][C]2[/C][C]2.59845885042778[/C][C]-0.598458850427778[/C][/ROW]
[ROW][C]92[/C][C]0[/C][C]-0.139387236455655[/C][C]0.139387236455655[/C][/ROW]
[ROW][C]93[/C][C]0[/C][C]2.25907165201212[/C][C]-2.25907165201212[/C][/ROW]
[ROW][C]94[/C][C]5[/C][C]1.85801097948053[/C][C]3.14198902051947[/C][/ROW]
[ROW][C]95[/C][C]0[/C][C]1.29669084187588[/C][C]-1.29669084187588[/C][/ROW]
[ROW][C]96[/C][C]1[/C][C]2.59478562827842[/C][C]-1.59478562827842[/C][/ROW]
[ROW][C]97[/C][C]0[/C][C]4.54329036769831[/C][C]-4.54329036769831[/C][/ROW]
[ROW][C]98[/C][C]1[/C][C]3.54087992755587[/C][C]-2.54087992755587[/C][/ROW]
[ROW][C]99[/C][C]1[/C][C]3.37641873156071[/C][C]-2.37641873156071[/C][/ROW]
[ROW][C]100[/C][C]2[/C][C]1.68020321551064[/C][C]0.31979678448936[/C][/ROW]
[ROW][C]101[/C][C]6[/C][C]2.56368896569448[/C][C]3.43631103430552[/C][/ROW]
[ROW][C]102[/C][C]1[/C][C]3.15628969737832[/C][C]-2.15628969737832[/C][/ROW]
[ROW][C]103[/C][C]4[/C][C]2.56816236995757[/C][C]1.43183763004243[/C][/ROW]
[ROW][C]104[/C][C]2[/C][C]2.11966347889028[/C][C]-0.119663478890277[/C][/ROW]
[ROW][C]105[/C][C]3[/C][C]1.7167297332259[/C][C]1.2832702667741[/C][/ROW]
[ROW][C]106[/C][C]0[/C][C]1.32670315527683[/C][C]-1.32670315527683[/C][/ROW]
[ROW][C]107[/C][C]10[/C][C]5.55677262224112[/C][C]4.44322737775888[/C][/ROW]
[ROW][C]108[/C][C]0[/C][C]1.9596291466807[/C][C]-1.9596291466807[/C][/ROW]
[ROW][C]109[/C][C]9[/C][C]1.85404638083095[/C][C]7.14595361916905[/C][/ROW]
[ROW][C]110[/C][C]7[/C][C]3.85140242678423[/C][C]3.14859757321577[/C][/ROW]
[ROW][C]111[/C][C]0[/C][C]1.96812623186161[/C][C]-1.96812623186161[/C][/ROW]
[ROW][C]112[/C][C]0[/C][C]3.33064978009736[/C][C]-3.33064978009736[/C][/ROW]
[ROW][C]113[/C][C]4[/C][C]1.6547005006275[/C][C]2.3452994993725[/C][/ROW]
[ROW][C]114[/C][C]4[/C][C]1.45540691520419[/C][C]2.54459308479581[/C][/ROW]
[ROW][C]115[/C][C]0[/C][C]2.50454434614121[/C][C]-2.50454434614121[/C][/ROW]
[ROW][C]116[/C][C]0[/C][C]2.14793415069851[/C][C]-2.14793415069851[/C][/ROW]
[ROW][C]117[/C][C]0[/C][C]1.72101917315008[/C][C]-1.72101917315008[/C][/ROW]
[ROW][C]118[/C][C]1[/C][C]1.73316049129834[/C][C]-0.733160491298338[/C][/ROW]
[ROW][C]119[/C][C]0[/C][C]2.09609249723966[/C][C]-2.09609249723966[/C][/ROW]
[ROW][C]120[/C][C]1[/C][C]1.25756542081701[/C][C]-0.257565420817005[/C][/ROW]
[ROW][C]121[/C][C]0[/C][C]1.60669420830446[/C][C]-1.60669420830446[/C][/ROW]
[ROW][C]122[/C][C]0[/C][C]1.26336782349936[/C][C]-1.26336782349936[/C][/ROW]
[ROW][C]123[/C][C]4[/C][C]1.24843728811689[/C][C]2.75156271188311[/C][/ROW]
[ROW][C]124[/C][C]0[/C][C]2.01304922067387[/C][C]-2.01304922067387[/C][/ROW]
[ROW][C]125[/C][C]4[/C][C]2.66426681068738[/C][C]1.33573318931262[/C][/ROW]
[ROW][C]126[/C][C]4[/C][C]0.471031500246901[/C][C]3.5289684997531[/C][/ROW]
[ROW][C]127[/C][C]3[/C][C]0.873673293671986[/C][C]2.12632670632801[/C][/ROW]
[ROW][C]128[/C][C]0[/C][C]1.4284240304833[/C][C]-1.4284240304833[/C][/ROW]
[ROW][C]129[/C][C]0[/C][C]2.81970133600803[/C][C]-2.81970133600803[/C][/ROW]
[ROW][C]130[/C][C]0[/C][C]-0.504268531921021[/C][C]0.504268531921021[/C][/ROW]
[ROW][C]131[/C][C]5[/C][C]0.949809562052054[/C][C]4.05019043794795[/C][/ROW]
[ROW][C]132[/C][C]0[/C][C]2.25269853239448[/C][C]-2.25269853239448[/C][/ROW]
[ROW][C]133[/C][C]4[/C][C]0.39937260767313[/C][C]3.60062739232687[/C][/ROW]
[ROW][C]134[/C][C]0[/C][C]2.92710559233769[/C][C]-2.92710559233769[/C][/ROW]
[ROW][C]135[/C][C]0[/C][C]2.77925400384016[/C][C]-2.77925400384016[/C][/ROW]
[ROW][C]136[/C][C]1[/C][C]2.40282793041873[/C][C]-1.40282793041873[/C][/ROW]
[ROW][C]137[/C][C]0[/C][C]-0.380366376920806[/C][C]0.380366376920806[/C][/ROW]
[ROW][C]138[/C][C]5[/C][C]2.18890995241681[/C][C]2.81109004758319[/C][/ROW]
[ROW][C]139[/C][C]0[/C][C]1.01812877830256[/C][C]-1.01812877830256[/C][/ROW]
[ROW][C]140[/C][C]0[/C][C]0.178061101601825[/C][C]-0.178061101601825[/C][/ROW]
[ROW][C]141[/C][C]0[/C][C]1.24688327459016[/C][C]-1.24688327459016[/C][/ROW]
[ROW][C]142[/C][C]0[/C][C]1.57965795519383[/C][C]-1.57965795519383[/C][/ROW]
[ROW][C]143[/C][C]0[/C][C]1.60042369154528[/C][C]-1.60042369154528[/C][/ROW]
[ROW][C]144[/C][C]2[/C][C]2.95332426105095[/C][C]-0.953324261050945[/C][/ROW]
[ROW][C]145[/C][C]7[/C][C]3.93423698737667[/C][C]3.06576301262333[/C][/ROW]
[ROW][C]146[/C][C]1[/C][C]2.03301031412868[/C][C]-1.03301031412868[/C][/ROW]
[ROW][C]147[/C][C]8[/C][C]3.73983588027846[/C][C]4.26016411972154[/C][/ROW]
[ROW][C]148[/C][C]2[/C][C]2.63330979025118[/C][C]-0.633309790251175[/C][/ROW]
[ROW][C]149[/C][C]0[/C][C]0.108427710228235[/C][C]-0.108427710228235[/C][/ROW]
[ROW][C]150[/C][C]2[/C][C]3.23191412193662[/C][C]-1.23191412193663[/C][/ROW]
[ROW][C]151[/C][C]0[/C][C]3.63897548920244[/C][C]-3.63897548920244[/C][/ROW]
[ROW][C]152[/C][C]0[/C][C]4.08161456567116[/C][C]-4.08161456567116[/C][/ROW]
[ROW][C]153[/C][C]1[/C][C]1.42603339735051[/C][C]-0.426033397350508[/C][/ROW]
[ROW][C]154[/C][C]3[/C][C]3.3610044203828[/C][C]-0.3610044203828[/C][/ROW]
[ROW][C]155[/C][C]0[/C][C]2.01143671474955[/C][C]-2.01143671474955[/C][/ROW]
[ROW][C]156[/C][C]3[/C][C]3.94938498878997[/C][C]-0.949384988789974[/C][/ROW]
[ROW][C]157[/C][C]0[/C][C]2.29339120993376[/C][C]-2.29339120993376[/C][/ROW]
[ROW][C]158[/C][C]0[/C][C]0.197097075997344[/C][C]-0.197097075997344[/C][/ROW]
[ROW][C]159[/C][C]0[/C][C]2.73159358844659[/C][C]-2.73159358844659[/C][/ROW]
[ROW][C]160[/C][C]4[/C][C]2.89665659765851[/C][C]1.10334340234149[/C][/ROW]
[ROW][C]161[/C][C]4[/C][C]4.88970237886003[/C][C]-0.889702378860028[/C][/ROW]
[ROW][C]162[/C][C]11[/C][C]3.23455191727903[/C][C]7.76544808272097[/C][/ROW]
[ROW][C]163[/C][C]0[/C][C]1.41556915490085[/C][C]-1.41556915490085[/C][/ROW]
[ROW][C]164[/C][C]0[/C][C]3.88309536019927[/C][C]-3.88309536019927[/C][/ROW]
[ROW][C]165[/C][C]4[/C][C]3.27525231979199[/C][C]0.724747680208006[/C][/ROW]
[ROW][C]166[/C][C]0[/C][C]2.17240395534834[/C][C]-2.17240395534834[/C][/ROW]
[ROW][C]167[/C][C]1[/C][C]2.19378013465283[/C][C]-1.19378013465283[/C][/ROW]
[ROW][C]168[/C][C]0[/C][C]2.92249584648286[/C][C]-2.92249584648286[/C][/ROW]
[ROW][C]169[/C][C]0[/C][C]1.11266742212133[/C][C]-1.11266742212133[/C][/ROW]
[ROW][C]170[/C][C]0[/C][C]1.94148759454275[/C][C]-1.94148759454275[/C][/ROW]
[ROW][C]171[/C][C]9[/C][C]4.15473982773661[/C][C]4.84526017226339[/C][/ROW]
[ROW][C]172[/C][C]1[/C][C]1.83020993407669[/C][C]-0.830209934076694[/C][/ROW]
[ROW][C]173[/C][C]3[/C][C]3.02160081066131[/C][C]-0.0216008106613108[/C][/ROW]
[ROW][C]174[/C][C]10[/C][C]3.41933142917543[/C][C]6.58066857082457[/C][/ROW]
[ROW][C]175[/C][C]5[/C][C]1.97402435140196[/C][C]3.02597564859804[/C][/ROW]
[ROW][C]176[/C][C]0[/C][C]1.50735041605068[/C][C]-1.50735041605068[/C][/ROW]
[ROW][C]177[/C][C]2[/C][C]3.44001099467457[/C][C]-1.44001099467457[/C][/ROW]
[ROW][C]178[/C][C]0[/C][C]1.47030394935155[/C][C]-1.47030394935155[/C][/ROW]
[ROW][C]179[/C][C]1[/C][C]2.63111552998279[/C][C]-1.63111552998279[/C][/ROW]
[ROW][C]180[/C][C]2[/C][C]0.400540812315062[/C][C]1.59945918768494[/C][/ROW]
[ROW][C]181[/C][C]4[/C][C]0.616513657899858[/C][C]3.38348634210014[/C][/ROW]
[ROW][C]182[/C][C]0[/C][C]1.31827270622552[/C][C]-1.31827270622552[/C][/ROW]
[ROW][C]183[/C][C]0[/C][C]-0.616576950837258[/C][C]0.616576950837258[/C][/ROW]
[ROW][C]184[/C][C]2[/C][C]3.25849519392362[/C][C]-1.25849519392362[/C][/ROW]
[ROW][C]185[/C][C]1[/C][C]3.15334199745079[/C][C]-2.15334199745079[/C][/ROW]
[ROW][C]186[/C][C]0[/C][C]-0.739090872397792[/C][C]0.739090872397792[/C][/ROW]
[ROW][C]187[/C][C]0[/C][C]0.0711062155872611[/C][C]-0.0711062155872611[/C][/ROW]
[ROW][C]188[/C][C]0[/C][C]-0.541000271129215[/C][C]0.541000271129215[/C][/ROW]
[ROW][C]189[/C][C]1[/C][C]1.85730962892124[/C][C]-0.857309628921239[/C][/ROW]
[ROW][C]190[/C][C]0[/C][C]2.66539901622878[/C][C]-2.66539901622878[/C][/ROW]
[ROW][C]191[/C][C]2[/C][C]2.24641015405157[/C][C]-0.246410154051566[/C][/ROW]
[ROW][C]192[/C][C]0[/C][C]1.86634618359446[/C][C]-1.86634618359446[/C][/ROW]
[ROW][C]193[/C][C]3[/C][C]0.279161416393364[/C][C]2.72083858360664[/C][/ROW]
[ROW][C]194[/C][C]6[/C][C]1.48479371850955[/C][C]4.51520628149045[/C][/ROW]
[ROW][C]195[/C][C]0[/C][C]1.81341590014941[/C][C]-1.81341590014941[/C][/ROW]
[ROW][C]196[/C][C]2[/C][C]0.485815808374312[/C][C]1.51418419162569[/C][/ROW]
[ROW][C]197[/C][C]0[/C][C]2.02606070358914[/C][C]-2.02606070358914[/C][/ROW]
[ROW][C]198[/C][C]2[/C][C]0.94165092740724[/C][C]1.05834907259276[/C][/ROW]
[ROW][C]199[/C][C]1[/C][C]1.96952488897163[/C][C]-0.969524888971632[/C][/ROW]
[ROW][C]200[/C][C]1[/C][C]0.948105632845203[/C][C]0.0518943671547966[/C][/ROW]
[ROW][C]201[/C][C]2[/C][C]1.33989200610985[/C][C]0.660107993890151[/C][/ROW]
[ROW][C]202[/C][C]1[/C][C]2.06380429611644[/C][C]-1.06380429611644[/C][/ROW]
[ROW][C]203[/C][C]0[/C][C]0.987170807319178[/C][C]-0.987170807319178[/C][/ROW]
[ROW][C]204[/C][C]1[/C][C]1.4512709494151[/C][C]-0.451270949415103[/C][/ROW]
[ROW][C]205[/C][C]3[/C][C]1.76779528049156[/C][C]1.23220471950844[/C][/ROW]
[ROW][C]206[/C][C]0[/C][C]1.90222222964872[/C][C]-1.90222222964872[/C][/ROW]
[ROW][C]207[/C][C]0[/C][C]1.38827319410056[/C][C]-1.38827319410056[/C][/ROW]
[ROW][C]208[/C][C]0[/C][C]1.51032026547395[/C][C]-1.51032026547395[/C][/ROW]
[ROW][C]209[/C][C]0[/C][C]1.61619836722362[/C][C]-1.61619836722362[/C][/ROW]
[ROW][C]210[/C][C]1[/C][C]2.0417334247114[/C][C]-1.0417334247114[/C][/ROW]
[ROW][C]211[/C][C]4[/C][C]0.516002295218436[/C][C]3.48399770478156[/C][/ROW]
[ROW][C]212[/C][C]0[/C][C]1.4949473146581[/C][C]-1.4949473146581[/C][/ROW]
[ROW][C]213[/C][C]0[/C][C]1.22927065321888[/C][C]-1.22927065321888[/C][/ROW]
[ROW][C]214[/C][C]0[/C][C]1.03249062218027[/C][C]-1.03249062218027[/C][/ROW]
[ROW][C]215[/C][C]7[/C][C]3.23100287801583[/C][C]3.76899712198417[/C][/ROW]
[ROW][C]216[/C][C]2[/C][C]2.28821759669651[/C][C]-0.288217596696515[/C][/ROW]
[ROW][C]217[/C][C]0[/C][C]1.12385777502646[/C][C]-1.12385777502646[/C][/ROW]
[ROW][C]218[/C][C]7[/C][C]0.80906006940338[/C][C]6.19093993059662[/C][/ROW]
[ROW][C]219[/C][C]3[/C][C]1.04002751283597[/C][C]1.95997248716403[/C][/ROW]
[ROW][C]220[/C][C]0[/C][C]1.26946745772078[/C][C]-1.26946745772078[/C][/ROW]
[ROW][C]221[/C][C]0[/C][C]2.04617840470843[/C][C]-2.04617840470843[/C][/ROW]
[ROW][C]222[/C][C]6[/C][C]2.80338385708318[/C][C]3.19661614291682[/C][/ROW]
[ROW][C]223[/C][C]2[/C][C]1.60900596560683[/C][C]0.390994034393171[/C][/ROW]
[ROW][C]224[/C][C]0[/C][C]1.34620313361122[/C][C]-1.34620313361122[/C][/ROW]
[ROW][C]225[/C][C]0[/C][C]1.23714765964511[/C][C]-1.23714765964511[/C][/ROW]
[ROW][C]226[/C][C]3[/C][C]0.855405650811251[/C][C]2.14459434918875[/C][/ROW]
[ROW][C]227[/C][C]0[/C][C]-0.149532550763024[/C][C]0.149532550763024[/C][/ROW]
[ROW][C]228[/C][C]1[/C][C]1.24390441612222[/C][C]-0.243904416122224[/C][/ROW]
[ROW][C]229[/C][C]1[/C][C]1.00365332449567[/C][C]-0.00365332449566865[/C][/ROW]
[ROW][C]230[/C][C]0[/C][C]2.62110196424258[/C][C]-2.62110196424258[/C][/ROW]
[ROW][C]231[/C][C]1[/C][C]1.72740479047261[/C][C]-0.72740479047261[/C][/ROW]
[ROW][C]232[/C][C]0[/C][C]0.962692435320206[/C][C]-0.962692435320206[/C][/ROW]
[ROW][C]233[/C][C]0[/C][C]1.84835439902025[/C][C]-1.84835439902025[/C][/ROW]
[ROW][C]234[/C][C]0[/C][C]1.24813713640461[/C][C]-1.24813713640461[/C][/ROW]
[ROW][C]235[/C][C]0[/C][C]1.79980149299962[/C][C]-1.79980149299962[/C][/ROW]
[ROW][C]236[/C][C]0[/C][C]1.0290777362065[/C][C]-1.0290777362065[/C][/ROW]
[ROW][C]237[/C][C]0[/C][C]1.82762937918635[/C][C]-1.82762937918635[/C][/ROW]
[ROW][C]238[/C][C]0[/C][C]1.32630963834232[/C][C]-1.32630963834232[/C][/ROW]
[ROW][C]239[/C][C]0[/C][C]1.11192051870807[/C][C]-1.11192051870807[/C][/ROW]
[ROW][C]240[/C][C]0[/C][C]1.30180853495681[/C][C]-1.30180853495681[/C][/ROW]
[ROW][C]241[/C][C]0[/C][C]1.4083676209497[/C][C]-1.4083676209497[/C][/ROW]
[ROW][C]242[/C][C]0[/C][C]2.52432960219722[/C][C]-2.52432960219722[/C][/ROW]
[ROW][C]243[/C][C]0[/C][C]0.903441572540843[/C][C]-0.903441572540843[/C][/ROW]
[ROW][C]244[/C][C]2[/C][C]0.97853930494803[/C][C]1.02146069505197[/C][/ROW]
[ROW][C]245[/C][C]0[/C][C]0.982590917777268[/C][C]-0.982590917777268[/C][/ROW]
[ROW][C]246[/C][C]1[/C][C]1.5987496646847[/C][C]-0.598749664684697[/C][/ROW]
[ROW][C]247[/C][C]1[/C][C]1.33751488709035[/C][C]-0.337514887090349[/C][/ROW]
[ROW][C]248[/C][C]0[/C][C]1.13996877793296[/C][C]-1.13996877793296[/C][/ROW]
[ROW][C]249[/C][C]0[/C][C]0.493228154443097[/C][C]-0.493228154443097[/C][/ROW]
[ROW][C]250[/C][C]0[/C][C]0.1900374286472[/C][C]-0.1900374286472[/C][/ROW]
[ROW][C]251[/C][C]0[/C][C]2.04216685705137[/C][C]-2.04216685705137[/C][/ROW]
[ROW][C]252[/C][C]0[/C][C]1.24477040146342[/C][C]-1.24477040146342[/C][/ROW]
[ROW][C]253[/C][C]0[/C][C]-0.842911953549145[/C][C]0.842911953549145[/C][/ROW]
[ROW][C]254[/C][C]1[/C][C]1.79915827835157[/C][C]-0.799158278351566[/C][/ROW]
[ROW][C]255[/C][C]0[/C][C]1.91686287463188[/C][C]-1.91686287463188[/C][/ROW]
[ROW][C]256[/C][C]0[/C][C]-0.00637871823218703[/C][C]0.00637871823218703[/C][/ROW]
[ROW][C]257[/C][C]0[/C][C]0.339349864960604[/C][C]-0.339349864960604[/C][/ROW]
[ROW][C]258[/C][C]0[/C][C]0.996285870297958[/C][C]-0.996285870297958[/C][/ROW]
[ROW][C]259[/C][C]1[/C][C]1.16939970199752[/C][C]-0.169399701997516[/C][/ROW]
[ROW][C]260[/C][C]0[/C][C]0.29840798324526[/C][C]-0.29840798324526[/C][/ROW]
[ROW][C]261[/C][C]0[/C][C]1.43018948085302[/C][C]-1.43018948085302[/C][/ROW]
[ROW][C]262[/C][C]0[/C][C]0.433253151242841[/C][C]-0.433253151242841[/C][/ROW]
[ROW][C]263[/C][C]0[/C][C]0.421346855891736[/C][C]-0.421346855891736[/C][/ROW]
[ROW][C]264[/C][C]0[/C][C]0.794920324467151[/C][C]-0.794920324467151[/C][/ROW]
[ROW][C]265[/C][C]0[/C][C]1.05974486975687[/C][C]-1.05974486975687[/C][/ROW]
[ROW][C]266[/C][C]0[/C][C]0.747824672503609[/C][C]-0.747824672503609[/C][/ROW]
[ROW][C]267[/C][C]0[/C][C]1.19002427391963[/C][C]-1.19002427391963[/C][/ROW]
[ROW][C]268[/C][C]0[/C][C]0.359607996739883[/C][C]-0.359607996739883[/C][/ROW]
[ROW][C]269[/C][C]0[/C][C]0.634015865740314[/C][C]-0.634015865740314[/C][/ROW]
[ROW][C]270[/C][C]0[/C][C]1.6313669694287[/C][C]-1.6313669694287[/C][/ROW]
[ROW][C]271[/C][C]1[/C][C]2.12879746060387[/C][C]-1.12879746060387[/C][/ROW]
[ROW][C]272[/C][C]0[/C][C]1.09086140291134[/C][C]-1.09086140291134[/C][/ROW]
[ROW][C]273[/C][C]0[/C][C]-0.379166735849758[/C][C]0.379166735849758[/C][/ROW]
[ROW][C]274[/C][C]1[/C][C]0.824785281550058[/C][C]0.175214718449942[/C][/ROW]
[ROW][C]275[/C][C]0[/C][C]0.457228714599712[/C][C]-0.457228714599712[/C][/ROW]
[ROW][C]276[/C][C]6[/C][C]1.6258119764876[/C][C]4.3741880235124[/C][/ROW]
[ROW][C]277[/C][C]3[/C][C]1.09760478230173[/C][C]1.90239521769827[/C][/ROW]
[ROW][C]278[/C][C]1[/C][C]-0.593375069268547[/C][C]1.59337506926855[/C][/ROW]
[ROW][C]279[/C][C]2[/C][C]1.11229955014407[/C][C]0.88770044985593[/C][/ROW]
[ROW][C]280[/C][C]0[/C][C]1.32607571972503[/C][C]-1.32607571972503[/C][/ROW]
[ROW][C]281[/C][C]0[/C][C]1.3809666926672[/C][C]-1.3809666926672[/C][/ROW]
[ROW][C]282[/C][C]0[/C][C]1.20565522067341[/C][C]-1.20565522067341[/C][/ROW]
[ROW][C]283[/C][C]3[/C][C]1.06735106288955[/C][C]1.93264893711045[/C][/ROW]
[ROW][C]284[/C][C]1[/C][C]-0.13602339305677[/C][C]1.13602339305677[/C][/ROW]
[ROW][C]285[/C][C]0[/C][C]1.39031756801407[/C][C]-1.39031756801407[/C][/ROW]
[ROW][C]286[/C][C]0[/C][C]2.27725818262403[/C][C]-2.27725818262403[/C][/ROW]
[ROW][C]287[/C][C]1[/C][C]1.05280369286326[/C][C]-0.0528036928632623[/C][/ROW]
[ROW][C]288[/C][C]0[/C][C]0.911584400012886[/C][C]-0.911584400012886[/C][/ROW]
[ROW][C]289[/C][C]0[/C][C]1.51515645900194[/C][C]-1.51515645900194[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197424&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197424&T=4

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
131.703680068401091.29631993159891
241.727244465899462.27275553410054
3123.798827408316538.20117259168347
422.03331528943929-0.0333152894392934
511.35081669043599-0.35081669043599
632.62488926024390.375110739756101
702.5108297766184-2.5108297766184
801.46750135866826-1.46750135866826
900.72648455272508-0.72648455272508
1052.752195236645822.24780476335418
1101.79034337336231-1.79034337336231
1203.27350092326065-3.27350092326065
1373.899054052664733.10094594733527
1473.084585981054713.91541401894529
1533.39347215010466-0.393472150104661
1693.268468078615715.73153192138429
1705.44722114464701-5.44722114464701
1841.938858193177182.06114180682282
1933.04094828711691-0.0409482871169105
2000.97578580512675-0.97578580512675
2172.747298840970284.25270115902972
2202.7194518564433-2.7194518564433
2312.44965235326321-1.44965235326321
2451.929484510485353.07051548951465
2573.182239655872613.81776034412739
2602.61786005832248-2.61786005832248
2703.48299431256561-3.48299431256561
2853.240578894457061.75942110554294
2902.06287130226606-2.06287130226606
3002.25993644281144-2.25993644281144
3101.79989901942262-1.79989901942262
3232.841522145495690.158477854504311
3344.54169695028806-0.541696950288056
3413.16590831930026-2.16590831930026
3542.698105698167731.30189430183227
3622.9896905936718-0.989690593671798
3700.624527229288023-0.624527229288023
3803.1260674878448-3.1260674878448
3904.00796717896054-4.00796717896054
400-0.537824777866250.53782477786625
4122.45577823642534-0.455778236425343
4210.8032982425437070.196701757456293
4301.52842759447193-1.52842759447193
4423.53568863106415-1.53568863106415
45103.522370602680466.47762939731954
4663.179045737523042.82095426247696
4702.8897309516554-2.8897309516554
4852.213690766540332.78630923345967
4942.680433848418311.31956615158169
5015.47187714419644-4.47187714419644
5120.2364950599296081.76350494007039
5222.58926166245569-0.589261662455692
5303.47275227725141-3.47275227725141
5484.588877336596533.41112266340347
5532.991230425712920.00876957428707749
5602.20985691444935-2.20985691444935
5700.0285051157016622-0.0285051157016622
5883.764482016506794.23551798349321
5951.682252899552433.31774710044757
6031.027245787165581.97275421283442
6112.83002666936002-1.83002666936002
6254.077529748147290.922470251852705
6313.7009506360303-2.7009506360303
6411.28010551601012-0.280105516010116
6552.261519992240592.73848000775941
6602.30231525769606-2.30231525769606
67122.349327399208449.65067260079156
6884.162692908421323.83730709157868
6981.391990412184276.60800958781573
7084.435368010141293.56463198985871
7183.787414596313384.21258540368662
7222.5569058161014-0.556905816101402
7301.61901969083087-1.61901969083087
7452.392522958684472.60747704131553
7584.039479362387393.96052063761261
7621.577207856073790.422792143926213
7750.4113913962476624.58860860375234
78124.241813230064927.75818676993508
7962.339272645985543.66072735401446
8074.179335850908292.82066414909171
8121.950018769195010.0499812308049868
8202.15674890759565-2.15674890759565
8341.806051397909722.19394860209028
8432.281535194612810.718464805387189
8562.993580178088113.00641982191189
8621.944853254236280.0551467457637218
8702.93574909516333-2.93574909516333
8812.14888616803474-1.14888616803474
8903.46045101032143-3.46045101032143
9052.887514312719922.11248568728008
9122.59845885042778-0.598458850427778
920-0.1393872364556550.139387236455655
9302.25907165201212-2.25907165201212
9451.858010979480533.14198902051947
9501.29669084187588-1.29669084187588
9612.59478562827842-1.59478562827842
9704.54329036769831-4.54329036769831
9813.54087992755587-2.54087992755587
9913.37641873156071-2.37641873156071
10021.680203215510640.31979678448936
10162.563688965694483.43631103430552
10213.15628969737832-2.15628969737832
10342.568162369957571.43183763004243
10422.11966347889028-0.119663478890277
10531.71672973322591.2832702667741
10601.32670315527683-1.32670315527683
107105.556772622241124.44322737775888
10801.9596291466807-1.9596291466807
10991.854046380830957.14595361916905
11073.851402426784233.14859757321577
11101.96812623186161-1.96812623186161
11203.33064978009736-3.33064978009736
11341.65470050062752.3452994993725
11441.455406915204192.54459308479581
11502.50454434614121-2.50454434614121
11602.14793415069851-2.14793415069851
11701.72101917315008-1.72101917315008
11811.73316049129834-0.733160491298338
11902.09609249723966-2.09609249723966
12011.25756542081701-0.257565420817005
12101.60669420830446-1.60669420830446
12201.26336782349936-1.26336782349936
12341.248437288116892.75156271188311
12402.01304922067387-2.01304922067387
12542.664266810687381.33573318931262
12640.4710315002469013.5289684997531
12730.8736732936719862.12632670632801
12801.4284240304833-1.4284240304833
12902.81970133600803-2.81970133600803
1300-0.5042685319210210.504268531921021
13150.9498095620520544.05019043794795
13202.25269853239448-2.25269853239448
13340.399372607673133.60062739232687
13402.92710559233769-2.92710559233769
13502.77925400384016-2.77925400384016
13612.40282793041873-1.40282793041873
1370-0.3803663769208060.380366376920806
13852.188909952416812.81109004758319
13901.01812877830256-1.01812877830256
14000.178061101601825-0.178061101601825
14101.24688327459016-1.24688327459016
14201.57965795519383-1.57965795519383
14301.60042369154528-1.60042369154528
14422.95332426105095-0.953324261050945
14573.934236987376673.06576301262333
14612.03301031412868-1.03301031412868
14783.739835880278464.26016411972154
14822.63330979025118-0.633309790251175
14900.108427710228235-0.108427710228235
15023.23191412193662-1.23191412193663
15103.63897548920244-3.63897548920244
15204.08161456567116-4.08161456567116
15311.42603339735051-0.426033397350508
15433.3610044203828-0.3610044203828
15502.01143671474955-2.01143671474955
15633.94938498878997-0.949384988789974
15702.29339120993376-2.29339120993376
15800.197097075997344-0.197097075997344
15902.73159358844659-2.73159358844659
16042.896656597658511.10334340234149
16144.88970237886003-0.889702378860028
162113.234551917279037.76544808272097
16301.41556915490085-1.41556915490085
16403.88309536019927-3.88309536019927
16543.275252319791990.724747680208006
16602.17240395534834-2.17240395534834
16712.19378013465283-1.19378013465283
16802.92249584648286-2.92249584648286
16901.11266742212133-1.11266742212133
17001.94148759454275-1.94148759454275
17194.154739827736614.84526017226339
17211.83020993407669-0.830209934076694
17333.02160081066131-0.0216008106613108
174103.419331429175436.58066857082457
17551.974024351401963.02597564859804
17601.50735041605068-1.50735041605068
17723.44001099467457-1.44001099467457
17801.47030394935155-1.47030394935155
17912.63111552998279-1.63111552998279
18020.4005408123150621.59945918768494
18140.6165136578998583.38348634210014
18201.31827270622552-1.31827270622552
1830-0.6165769508372580.616576950837258
18423.25849519392362-1.25849519392362
18513.15334199745079-2.15334199745079
1860-0.7390908723977920.739090872397792
18700.0711062155872611-0.0711062155872611
1880-0.5410002711292150.541000271129215
18911.85730962892124-0.857309628921239
19002.66539901622878-2.66539901622878
19122.24641015405157-0.246410154051566
19201.86634618359446-1.86634618359446
19330.2791614163933642.72083858360664
19461.484793718509554.51520628149045
19501.81341590014941-1.81341590014941
19620.4858158083743121.51418419162569
19702.02606070358914-2.02606070358914
19820.941650927407241.05834907259276
19911.96952488897163-0.969524888971632
20010.9481056328452030.0518943671547966
20121.339892006109850.660107993890151
20212.06380429611644-1.06380429611644
20300.987170807319178-0.987170807319178
20411.4512709494151-0.451270949415103
20531.767795280491561.23220471950844
20601.90222222964872-1.90222222964872
20701.38827319410056-1.38827319410056
20801.51032026547395-1.51032026547395
20901.61619836722362-1.61619836722362
21012.0417334247114-1.0417334247114
21140.5160022952184363.48399770478156
21201.4949473146581-1.4949473146581
21301.22927065321888-1.22927065321888
21401.03249062218027-1.03249062218027
21573.231002878015833.76899712198417
21622.28821759669651-0.288217596696515
21701.12385777502646-1.12385777502646
21870.809060069403386.19093993059662
21931.040027512835971.95997248716403
22001.26946745772078-1.26946745772078
22102.04617840470843-2.04617840470843
22262.803383857083183.19661614291682
22321.609005965606830.390994034393171
22401.34620313361122-1.34620313361122
22501.23714765964511-1.23714765964511
22630.8554056508112512.14459434918875
2270-0.1495325507630240.149532550763024
22811.24390441612222-0.243904416122224
22911.00365332449567-0.00365332449566865
23002.62110196424258-2.62110196424258
23111.72740479047261-0.72740479047261
23200.962692435320206-0.962692435320206
23301.84835439902025-1.84835439902025
23401.24813713640461-1.24813713640461
23501.79980149299962-1.79980149299962
23601.0290777362065-1.0290777362065
23701.82762937918635-1.82762937918635
23801.32630963834232-1.32630963834232
23901.11192051870807-1.11192051870807
24001.30180853495681-1.30180853495681
24101.4083676209497-1.4083676209497
24202.52432960219722-2.52432960219722
24300.903441572540843-0.903441572540843
24420.978539304948031.02146069505197
24500.982590917777268-0.982590917777268
24611.5987496646847-0.598749664684697
24711.33751488709035-0.337514887090349
24801.13996877793296-1.13996877793296
24900.493228154443097-0.493228154443097
25000.1900374286472-0.1900374286472
25102.04216685705137-2.04216685705137
25201.24477040146342-1.24477040146342
2530-0.8429119535491450.842911953549145
25411.79915827835157-0.799158278351566
25501.91686287463188-1.91686287463188
2560-0.006378718232187030.00637871823218703
25700.339349864960604-0.339349864960604
25800.996285870297958-0.996285870297958
25911.16939970199752-0.169399701997516
26000.29840798324526-0.29840798324526
26101.43018948085302-1.43018948085302
26200.433253151242841-0.433253151242841
26300.421346855891736-0.421346855891736
26400.794920324467151-0.794920324467151
26501.05974486975687-1.05974486975687
26600.747824672503609-0.747824672503609
26701.19002427391963-1.19002427391963
26800.359607996739883-0.359607996739883
26900.634015865740314-0.634015865740314
27001.6313669694287-1.6313669694287
27112.12879746060387-1.12879746060387
27201.09086140291134-1.09086140291134
2730-0.3791667358497580.379166735849758
27410.8247852815500580.175214718449942
27500.457228714599712-0.457228714599712
27661.62581197648764.3741880235124
27731.097604782301731.90239521769827
2781-0.5933750692685471.59337506926855
27921.112299550144070.88770044985593
28001.32607571972503-1.32607571972503
28101.3809666926672-1.3809666926672
28201.20565522067341-1.20565522067341
28331.067351062889551.93264893711045
2841-0.136023393056771.13602339305677
28501.39031756801407-1.39031756801407
28602.27725818262403-2.27725818262403
28711.05280369286326-0.0528036928632623
28800.911584400012886-0.911584400012886
28901.51515645900194-1.51515645900194







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.3174818737666430.6349637475332860.682518126233357
110.4642394150143550.928478830028710.535760584985645
120.8850967392151720.2298065215696560.114903260784828
130.8895601172419810.2208797655160370.110439882758019
140.8444818258424640.3110363483150720.155518174157536
150.7924621911060480.4150756177879030.207537808893952
160.7627073558891020.4745852882217970.237292644110898
170.9625009420878950.07499811582421060.0374990579121053
180.9479151014780990.1041697970438030.0520848985219014
190.923276838342510.1534463233149790.0767231616574896
200.9095827108199880.1808345783600240.0904172891800118
210.9248479157337450.1503041685325090.0751520842662545
220.9239473153186190.1521053693627630.0760526846813814
230.8962905204493680.2074189591012630.103709479550632
240.8922272975666240.2155454048667530.107772702433376
250.8684120154092310.2631759691815380.131587984590769
260.835263436920990.329473126158020.16473656307901
270.8662944857857090.2674110284285810.133705514214291
280.8721058294247940.2557883411504130.127894170575206
290.8767728592746630.2464542814506730.123227140725337
300.8959755657110150.2080488685779710.104024434288985
310.8702905265032760.2594189469934480.129709473496724
320.8481469131024820.3037061737950360.151853086897518
330.8525678935240990.2948642129518020.147432106475901
340.8838696191180640.2322607617638720.116130380881936
350.862122934860930.2757541302781390.13787706513907
360.8313435278679330.3373129442641330.168656472132067
370.7974283084457680.4051433831084640.202571691554232
380.8144563845548130.3710872308903740.185543615445187
390.8242367684136880.3515264631726230.175763231586312
400.7896514675290520.4206970649418960.210348532470948
410.7517846432741420.4964307134517160.248215356725858
420.7098829338873750.5802341322252490.290117066112625
430.6807591187778050.6384817624443910.319240881222195
440.6412821681245850.7174356637508310.358717831875415
450.8337282286545040.3325435426909930.166271771345496
460.8170804028529440.3658391942941120.182919597147056
470.7956383634742170.4087232730515660.204361636525783
480.7987428860605980.4025142278788040.201257113939402
490.7676554425455240.4646891149089520.232344557454476
500.8847690708018450.2304618583963110.115230929198155
510.9470374697288570.1059250605422860.0529625302711428
520.9381974923355490.1236050153289020.061802507664451
530.9469201102115370.1061597795769260.0530798897884628
540.9742630325285280.05147393494294410.025736967471472
550.9672235792009350.06555284159813080.0327764207990654
560.9645318435952460.07093631280950710.0354681564047536
570.9552913497973190.08941730040536150.0447086502026807
580.969009476950110.06198104609978040.0309905230498902
590.9717700616853370.05645987662932610.028229938314663
600.9686388946005910.06272221079881850.0313611053994092
610.9634365205083980.07312695898320320.0365634794916016
620.9557721977991810.08845560440163870.0442278022008193
630.9568247660425890.08635046791482160.0431752339574108
640.9468881549435580.1062236901128830.0531118450564416
650.9526418132588560.09471637348228760.0473581867411438
660.9499444049763280.1001111900473440.0500555950236722
670.9981811795014370.003637640997125480.00181882049856274
680.998907960860680.002184078278639480.00109203913931974
690.9998445172579850.0003109654840301440.000155482742015072
700.9998826434710110.0002347130579772290.000117356528988615
710.999927917692520.0001441646149602897.20823074801447e-05
720.9999060175157770.0001879649684456739.39824842228365e-05
730.9998880187363710.0002239625272571510.000111981263628575
740.9998816193374520.0002367613250959490.000118380662547975
750.9999204528039710.0001590943920586927.95471960293462e-05
760.9998855854054220.0002288291891564490.000114414594578224
770.9999432726852780.0001134546294430075.67273147215037e-05
780.9999973888120615.22237587763286e-062.61118793881643e-06
790.9999982047585493.59048290120363e-061.79524145060181e-06
800.999998371140853.25771830026916e-061.62885915013458e-06
810.9999975778835854.84423283095332e-062.42211641547666e-06
820.9999975839457254.83210855054867e-062.41605427527433e-06
830.999997456541155.08691769947224e-062.54345884973612e-06
840.9999963391611537.32167769486754e-063.66083884743377e-06
850.9999968764104136.24717917340088e-063.12358958670044e-06
860.9999953789308659.24213826917717e-064.62106913458859e-06
870.9999964716920627.05661587575163e-063.52830793787582e-06
880.9999951991253849.60174923138353e-064.80087461569176e-06
890.9999966728549646.65429007193924e-063.32714503596962e-06
900.9999965499635316.90007293736703e-063.45003646868352e-06
910.9999950762352429.84752951647755e-064.92376475823877e-06
920.9999926127052751.47745894507895e-057.38729472539473e-06
930.9999926485519391.47028961227452e-057.3514480613726e-06
940.9999941755264071.16489471863158e-055.82447359315792e-06
950.9999925788089971.48423820067291e-057.42119100336457e-06
960.9999914058585951.71882828090498e-058.59414140452491e-06
970.9999966781965136.64360697298604e-063.32180348649302e-06
980.9999966058609996.78827800117926e-063.39413900058963e-06
990.9999964679852457.06402950922341e-063.5320147546117e-06
1000.9999948577818581.02844362841395e-055.14221814206977e-06
1010.9999962839258997.43214820248312e-063.71607410124156e-06
1020.9999958223858948.35522821134879e-064.1776141056744e-06
1030.9999946505129831.06989740343588e-055.3494870171794e-06
1040.9999922871530981.54256938038622e-057.71284690193109e-06
1050.999990271335271.94573294594781e-059.72866472973904e-06
1060.9999869163226822.61673546353494e-051.30836773176747e-05
1070.9999954549911359.0900177310171e-064.54500886550855e-06
1080.9999950415391359.91692173039091e-064.95846086519545e-06
1090.999999859766482.80467039645163e-071.40233519822581e-07
1100.9999999313178851.37364230232303e-076.86821151161517e-08
1110.999999913692351.72615299953599e-078.63076499767997e-08
1120.9999999389677131.22064574673816e-076.10322873369081e-08
1130.9999999404682981.19063404000797e-075.95317020003984e-08
1140.9999999448375281.10324943908319e-075.51624719541594e-08
1150.9999999414557721.1708845592604e-075.85442279630199e-08
1160.9999999284268831.4314623306499e-077.15731165324952e-08
1170.9999998993358282.013283446764e-071.006641723382e-07
1180.9999998507426352.98514731024876e-071.49257365512438e-07
1190.9999998307173483.38565304207799e-071.692826521039e-07
1200.999999744280265.11439479537252e-072.55719739768626e-07
1210.9999996780422256.43915550813075e-073.21957775406537e-07
1220.9999995702259328.59548135994614e-074.29774067997307e-07
1230.9999995344191219.31161758868527e-074.65580879434263e-07
1240.9999994421775291.11564494227203e-065.57822471136017e-07
1250.9999994162895141.16742097288423e-065.83710486442114e-07
1260.9999996462104157.07579168964199e-073.53789584482099e-07
1270.9999996023920157.95215969750868e-073.97607984875434e-07
1280.9999994819738151.03605237085463e-065.18026185427316e-07
1290.9999994538788451.09224230945581e-065.46121154727905e-07
1300.9999991664317181.66713656397504e-068.33568281987519e-07
1310.9999995866399628.26720075415645e-074.13360037707822e-07
1320.9999995295326939.40934613594623e-074.70467306797312e-07
1330.9999997542002344.9159953229998e-072.4579976614999e-07
1340.9999998593186792.81362641312694e-071.40681320656347e-07
1350.9999998751314572.4973708574993e-071.24868542874965e-07
1360.9999998200213663.59957268116554e-071.79978634058277e-07
1370.9999997252016685.49596663406951e-072.74798331703476e-07
1380.9999998458311243.08337752655302e-071.54168876327651e-07
1390.9999997891824374.21635126233915e-072.10817563116958e-07
1400.9999996770139166.45972167235516e-073.22986083617758e-07
1410.9999995719322538.561354946044e-074.280677473022e-07
1420.9999994999421441.00011571169747e-065.00057855848735e-07
1430.9999993823230261.23535394769227e-066.17676973846134e-07
1440.9999991369281661.72614366880174e-068.63071834400868e-07
1450.9999996222817067.55436587881497e-073.77718293940749e-07
1460.9999995542229818.91554037292215e-074.45777018646108e-07
1470.9999999296521761.40695648950752e-077.03478244753758e-08
1480.9999998929237272.14152545182589e-071.07076272591294e-07
1490.9999998310694373.37861126387882e-071.68930563193941e-07
1500.9999997562593194.87481362072203e-072.43740681036102e-07
1510.9999997987185234.02562954919006e-072.01281477459503e-07
1520.9999998499372183.00125564616267e-071.50062782308134e-07
1530.999999769712294.6057542085042e-072.3028771042521e-07
1540.9999996517594716.96481058109291e-073.48240529054645e-07
1550.9999995444026659.11194670926903e-074.55597335463451e-07
1560.9999993092445441.38151091237071e-066.90755456185354e-07
1570.9999991235337011.75293259824588e-068.7646629912294e-07
1580.999998674227662.65154467961372e-061.32577233980686e-06
1590.9999986609795352.67804093079784e-061.33902046539892e-06
1600.9999983008529463.39829410754195e-061.69914705377098e-06
1610.9999974655770955.06884580923873e-062.53442290461936e-06
1620.9999999970468495.90630268052425e-092.95315134026212e-09
1630.999999996172247.65552072415168e-093.82776036207584e-09
1640.9999999987823022.4353956866972e-091.2176978433486e-09
1650.9999999983040853.39182920313675e-091.69591460156837e-09
1660.99999999766234.67540104544077e-092.33770052272039e-09
1670.9999999966917466.61650722756961e-093.3082536137848e-09
1680.9999999963820937.23581367113402e-093.61790683556701e-09
1690.9999999942604671.14790663031989e-085.73953315159945e-09
1700.9999999923899311.52201375242675e-087.61006876213373e-09
1710.9999999992567151.48656939143153e-097.43284695715765e-10
1720.9999999987688212.46235719306384e-091.23117859653192e-09
1730.9999999980818473.83630621025984e-091.91815310512992e-09
1740.9999999999996057.90995822190919e-133.95497911095459e-13
1750.9999999999999261.48035715529184e-137.40178577645919e-14
1760.9999999999998922.16175441021988e-131.08087720510994e-13
1770.9999999999998283.43964299828559e-131.7198214991428e-13
1780.999999999999715.79168392907514e-132.89584196453757e-13
1790.9999999999996856.29035479287161e-133.14517739643581e-13
1800.9999999999995738.5433359234557e-134.27166796172785e-13
1810.9999999999997285.44166164136909e-132.72083082068455e-13
1820.9999999999996586.84239268439068e-133.42119634219534e-13
1830.9999999999993051.38990917416099e-126.94954587080493e-13
1840.9999999999990231.95418939395945e-129.77094696979726e-13
1850.9999999999986742.65269768446161e-121.32634884223081e-12
1860.9999999999973395.32198261008695e-122.66099130504347e-12
1870.9999999999947431.05137288017144e-115.25686440085719e-12
1880.9999999999896192.0762768116495e-111.03813840582475e-11
1890.9999999999805473.89050599368655e-111.94525299684328e-11
1900.9999999999696156.07697524552969e-113.03848762276484e-11
1910.9999999999709345.81325921051477e-112.90662960525739e-11
1920.999999999951999.6020315772385e-114.80101578861925e-11
1930.9999999999355621.28876512431889e-106.44382562159445e-11
1940.9999999999773694.52614738198414e-112.26307369099207e-11
1950.9999999999589998.20009694353819e-114.1000484717691e-11
1960.9999999999468631.06275089137454e-105.3137544568727e-11
1970.9999999999250781.49842974980957e-107.49214874904784e-11
1980.9999999999006811.98638484264342e-109.93192421321709e-11
1990.9999999998206233.58754733215595e-101.79377366607798e-10
2000.9999999996826916.34617398944237e-103.17308699472119e-10
2010.9999999995602988.79404130211306e-104.39702065105653e-10
2020.9999999992482441.50351263623537e-097.51756318117685e-10
2030.9999999986450812.70983736396819e-091.3549186819841e-09
2040.9999999974656595.06868233997674e-092.53434116998837e-09
2050.9999999961729437.65411420020119e-093.82705710010059e-09
2060.9999999941362671.17274652857109e-085.86373264285543e-09
2070.9999999910933581.78132843972678e-088.9066421986339e-09
2080.9999999846392523.07214956139023e-081.53607478069511e-08
2090.9999999743457825.13084361494038e-082.56542180747019e-08
2100.9999999564789328.70421352635156e-084.35210676317578e-08
2110.9999999799555134.0088973604178e-082.0044486802089e-08
2120.9999999669264066.61471885454649e-083.30735942727325e-08
2130.9999999428780281.14243943183366e-075.71219715916832e-08
2140.9999998985093382.02981323197607e-071.01490661598804e-07
2150.9999999963015327.396936862706e-093.698468431353e-09
2160.9999999945314891.09370215951375e-085.46851079756874e-09
2170.9999999914120911.71758187942484e-088.5879093971242e-09
2180.9999999999992941.41227466432649e-127.06137332163244e-13
2190.9999999999998353.30550156651027e-131.65275078325514e-13
2200.9999999999996147.72632881651869e-133.86316440825935e-13
2210.999999999999331.34041224800787e-126.70206124003934e-13
2220.9999999999999983.67069326634535e-151.83534663317267e-15
2230.9999999999999959.97878639283193e-154.98939319641596e-15
2240.9999999999999872.56527136854682e-141.28263568427341e-14
2250.9999999999999686.41555220149383e-143.20777610074691e-14
2260.9999999999999853.06070990702537e-141.53035495351269e-14
2270.9999999999999588.319743889321e-144.1598719446605e-14
2280.9999999999998942.11959051480504e-131.05979525740252e-13
2290.9999999999997235.53379516056192e-132.76689758028096e-13
2300.9999999999996417.17748913360601e-133.58874456680301e-13
2310.9999999999992281.54446016513913e-127.72230082569566e-13
2320.9999999999984463.10863554901841e-121.5543177745092e-12
2330.9999999999984263.1476924947158e-121.5738462473579e-12
2340.9999999999959378.12588277977423e-124.06294138988711e-12
2350.9999999999906131.87735045518124e-119.38675227590621e-12
2360.9999999999780214.39587938917907e-112.19793969458954e-11
2370.9999999999484071.03186099889188e-105.1593049944594e-11
2380.9999999998842232.31554141224283e-101.15777070612141e-10
2390.9999999997243825.51235928867382e-102.75617964433691e-10
2400.9999999993957251.2085494621262e-096.04274731063099e-10
2410.9999999986811752.63765045963101e-091.31882522981551e-09
2420.9999999987118792.57624159164325e-091.28812079582163e-09
2430.9999999971288155.74237074763454e-092.87118537381727e-09
2440.9999999968560126.2879762971047e-093.14398814855235e-09
2450.9999999923511431.52977142534305e-087.64885712671525e-09
2460.9999999813315363.73369277809326e-081.86684638904663e-08
2470.9999999781005874.37988263544647e-082.18994131772324e-08
2480.9999999479529861.04094027961557e-075.20470139807783e-08
2490.9999998816142622.36771476373094e-071.18385738186547e-07
2500.9999997667063044.66587392012819e-072.33293696006409e-07
2510.9999995383776669.23244668597648e-074.61622334298824e-07
2520.9999989546713022.09065739513373e-061.04532869756686e-06
2530.999997624102424.75179515924042e-062.37589757962021e-06
2540.9999949589747671.00820504659896e-055.04102523299478e-06
2550.9999933050315191.3389936962002e-056.69496848100102e-06
2560.9999864401977012.71196045987756e-051.35598022993878e-05
2570.9999743714354625.12571290751246e-052.56285645375623e-05
2580.9999455988825630.0001088022348746145.4401117437307e-05
2590.9999231672600160.0001536654799687957.68327399843975e-05
2600.9998410838988970.0003178322022059970.000158916101102999
2610.9996837321812070.0006325356375861430.000316267818793072
2620.9994277700114160.001144459977167390.000572229988583696
2630.9989603629760150.002079274047970520.00103963702398526
2640.9983261078221630.003347784355673590.0016738921778368
2650.9970225957780790.005954808443843090.00297740422192155
2660.996012411378480.007975177243039150.00398758862151958
2670.9941087279232790.0117825441534420.00589127207672101
2680.9896119999590480.02077600008190490.0103880000409525
2690.984743218572150.03051356285570090.0152567814278505
2700.9804233479892720.03915330402145530.0195766520107276
2710.9730543598123710.05389128037525780.0269456401876289
2720.9524811522971070.09503769540578620.0475188477028931
2730.9225485332378370.1549029335243250.0774514667621625
2740.8771902664628140.2456194670743710.122809733537186
2750.8288572428413510.3422855143172980.171142757158649
2760.9837386083391490.03252278332170190.016261391660851
2770.9991619163829910.001676167234017570.000838083617008786
2780.995596092960090.008807814079819880.00440390703990994
2790.9787626360768030.0424747278463930.0212373639231965

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
10 & 0.317481873766643 & 0.634963747533286 & 0.682518126233357 \tabularnewline
11 & 0.464239415014355 & 0.92847883002871 & 0.535760584985645 \tabularnewline
12 & 0.885096739215172 & 0.229806521569656 & 0.114903260784828 \tabularnewline
13 & 0.889560117241981 & 0.220879765516037 & 0.110439882758019 \tabularnewline
14 & 0.844481825842464 & 0.311036348315072 & 0.155518174157536 \tabularnewline
15 & 0.792462191106048 & 0.415075617787903 & 0.207537808893952 \tabularnewline
16 & 0.762707355889102 & 0.474585288221797 & 0.237292644110898 \tabularnewline
17 & 0.962500942087895 & 0.0749981158242106 & 0.0374990579121053 \tabularnewline
18 & 0.947915101478099 & 0.104169797043803 & 0.0520848985219014 \tabularnewline
19 & 0.92327683834251 & 0.153446323314979 & 0.0767231616574896 \tabularnewline
20 & 0.909582710819988 & 0.180834578360024 & 0.0904172891800118 \tabularnewline
21 & 0.924847915733745 & 0.150304168532509 & 0.0751520842662545 \tabularnewline
22 & 0.923947315318619 & 0.152105369362763 & 0.0760526846813814 \tabularnewline
23 & 0.896290520449368 & 0.207418959101263 & 0.103709479550632 \tabularnewline
24 & 0.892227297566624 & 0.215545404866753 & 0.107772702433376 \tabularnewline
25 & 0.868412015409231 & 0.263175969181538 & 0.131587984590769 \tabularnewline
26 & 0.83526343692099 & 0.32947312615802 & 0.16473656307901 \tabularnewline
27 & 0.866294485785709 & 0.267411028428581 & 0.133705514214291 \tabularnewline
28 & 0.872105829424794 & 0.255788341150413 & 0.127894170575206 \tabularnewline
29 & 0.876772859274663 & 0.246454281450673 & 0.123227140725337 \tabularnewline
30 & 0.895975565711015 & 0.208048868577971 & 0.104024434288985 \tabularnewline
31 & 0.870290526503276 & 0.259418946993448 & 0.129709473496724 \tabularnewline
32 & 0.848146913102482 & 0.303706173795036 & 0.151853086897518 \tabularnewline
33 & 0.852567893524099 & 0.294864212951802 & 0.147432106475901 \tabularnewline
34 & 0.883869619118064 & 0.232260761763872 & 0.116130380881936 \tabularnewline
35 & 0.86212293486093 & 0.275754130278139 & 0.13787706513907 \tabularnewline
36 & 0.831343527867933 & 0.337312944264133 & 0.168656472132067 \tabularnewline
37 & 0.797428308445768 & 0.405143383108464 & 0.202571691554232 \tabularnewline
38 & 0.814456384554813 & 0.371087230890374 & 0.185543615445187 \tabularnewline
39 & 0.824236768413688 & 0.351526463172623 & 0.175763231586312 \tabularnewline
40 & 0.789651467529052 & 0.420697064941896 & 0.210348532470948 \tabularnewline
41 & 0.751784643274142 & 0.496430713451716 & 0.248215356725858 \tabularnewline
42 & 0.709882933887375 & 0.580234132225249 & 0.290117066112625 \tabularnewline
43 & 0.680759118777805 & 0.638481762444391 & 0.319240881222195 \tabularnewline
44 & 0.641282168124585 & 0.717435663750831 & 0.358717831875415 \tabularnewline
45 & 0.833728228654504 & 0.332543542690993 & 0.166271771345496 \tabularnewline
46 & 0.817080402852944 & 0.365839194294112 & 0.182919597147056 \tabularnewline
47 & 0.795638363474217 & 0.408723273051566 & 0.204361636525783 \tabularnewline
48 & 0.798742886060598 & 0.402514227878804 & 0.201257113939402 \tabularnewline
49 & 0.767655442545524 & 0.464689114908952 & 0.232344557454476 \tabularnewline
50 & 0.884769070801845 & 0.230461858396311 & 0.115230929198155 \tabularnewline
51 & 0.947037469728857 & 0.105925060542286 & 0.0529625302711428 \tabularnewline
52 & 0.938197492335549 & 0.123605015328902 & 0.061802507664451 \tabularnewline
53 & 0.946920110211537 & 0.106159779576926 & 0.0530798897884628 \tabularnewline
54 & 0.974263032528528 & 0.0514739349429441 & 0.025736967471472 \tabularnewline
55 & 0.967223579200935 & 0.0655528415981308 & 0.0327764207990654 \tabularnewline
56 & 0.964531843595246 & 0.0709363128095071 & 0.0354681564047536 \tabularnewline
57 & 0.955291349797319 & 0.0894173004053615 & 0.0447086502026807 \tabularnewline
58 & 0.96900947695011 & 0.0619810460997804 & 0.0309905230498902 \tabularnewline
59 & 0.971770061685337 & 0.0564598766293261 & 0.028229938314663 \tabularnewline
60 & 0.968638894600591 & 0.0627222107988185 & 0.0313611053994092 \tabularnewline
61 & 0.963436520508398 & 0.0731269589832032 & 0.0365634794916016 \tabularnewline
62 & 0.955772197799181 & 0.0884556044016387 & 0.0442278022008193 \tabularnewline
63 & 0.956824766042589 & 0.0863504679148216 & 0.0431752339574108 \tabularnewline
64 & 0.946888154943558 & 0.106223690112883 & 0.0531118450564416 \tabularnewline
65 & 0.952641813258856 & 0.0947163734822876 & 0.0473581867411438 \tabularnewline
66 & 0.949944404976328 & 0.100111190047344 & 0.0500555950236722 \tabularnewline
67 & 0.998181179501437 & 0.00363764099712548 & 0.00181882049856274 \tabularnewline
68 & 0.99890796086068 & 0.00218407827863948 & 0.00109203913931974 \tabularnewline
69 & 0.999844517257985 & 0.000310965484030144 & 0.000155482742015072 \tabularnewline
70 & 0.999882643471011 & 0.000234713057977229 & 0.000117356528988615 \tabularnewline
71 & 0.99992791769252 & 0.000144164614960289 & 7.20823074801447e-05 \tabularnewline
72 & 0.999906017515777 & 0.000187964968445673 & 9.39824842228365e-05 \tabularnewline
73 & 0.999888018736371 & 0.000223962527257151 & 0.000111981263628575 \tabularnewline
74 & 0.999881619337452 & 0.000236761325095949 & 0.000118380662547975 \tabularnewline
75 & 0.999920452803971 & 0.000159094392058692 & 7.95471960293462e-05 \tabularnewline
76 & 0.999885585405422 & 0.000228829189156449 & 0.000114414594578224 \tabularnewline
77 & 0.999943272685278 & 0.000113454629443007 & 5.67273147215037e-05 \tabularnewline
78 & 0.999997388812061 & 5.22237587763286e-06 & 2.61118793881643e-06 \tabularnewline
79 & 0.999998204758549 & 3.59048290120363e-06 & 1.79524145060181e-06 \tabularnewline
80 & 0.99999837114085 & 3.25771830026916e-06 & 1.62885915013458e-06 \tabularnewline
81 & 0.999997577883585 & 4.84423283095332e-06 & 2.42211641547666e-06 \tabularnewline
82 & 0.999997583945725 & 4.83210855054867e-06 & 2.41605427527433e-06 \tabularnewline
83 & 0.99999745654115 & 5.08691769947224e-06 & 2.54345884973612e-06 \tabularnewline
84 & 0.999996339161153 & 7.32167769486754e-06 & 3.66083884743377e-06 \tabularnewline
85 & 0.999996876410413 & 6.24717917340088e-06 & 3.12358958670044e-06 \tabularnewline
86 & 0.999995378930865 & 9.24213826917717e-06 & 4.62106913458859e-06 \tabularnewline
87 & 0.999996471692062 & 7.05661587575163e-06 & 3.52830793787582e-06 \tabularnewline
88 & 0.999995199125384 & 9.60174923138353e-06 & 4.80087461569176e-06 \tabularnewline
89 & 0.999996672854964 & 6.65429007193924e-06 & 3.32714503596962e-06 \tabularnewline
90 & 0.999996549963531 & 6.90007293736703e-06 & 3.45003646868352e-06 \tabularnewline
91 & 0.999995076235242 & 9.84752951647755e-06 & 4.92376475823877e-06 \tabularnewline
92 & 0.999992612705275 & 1.47745894507895e-05 & 7.38729472539473e-06 \tabularnewline
93 & 0.999992648551939 & 1.47028961227452e-05 & 7.3514480613726e-06 \tabularnewline
94 & 0.999994175526407 & 1.16489471863158e-05 & 5.82447359315792e-06 \tabularnewline
95 & 0.999992578808997 & 1.48423820067291e-05 & 7.42119100336457e-06 \tabularnewline
96 & 0.999991405858595 & 1.71882828090498e-05 & 8.59414140452491e-06 \tabularnewline
97 & 0.999996678196513 & 6.64360697298604e-06 & 3.32180348649302e-06 \tabularnewline
98 & 0.999996605860999 & 6.78827800117926e-06 & 3.39413900058963e-06 \tabularnewline
99 & 0.999996467985245 & 7.06402950922341e-06 & 3.5320147546117e-06 \tabularnewline
100 & 0.999994857781858 & 1.02844362841395e-05 & 5.14221814206977e-06 \tabularnewline
101 & 0.999996283925899 & 7.43214820248312e-06 & 3.71607410124156e-06 \tabularnewline
102 & 0.999995822385894 & 8.35522821134879e-06 & 4.1776141056744e-06 \tabularnewline
103 & 0.999994650512983 & 1.06989740343588e-05 & 5.3494870171794e-06 \tabularnewline
104 & 0.999992287153098 & 1.54256938038622e-05 & 7.71284690193109e-06 \tabularnewline
105 & 0.99999027133527 & 1.94573294594781e-05 & 9.72866472973904e-06 \tabularnewline
106 & 0.999986916322682 & 2.61673546353494e-05 & 1.30836773176747e-05 \tabularnewline
107 & 0.999995454991135 & 9.0900177310171e-06 & 4.54500886550855e-06 \tabularnewline
108 & 0.999995041539135 & 9.91692173039091e-06 & 4.95846086519545e-06 \tabularnewline
109 & 0.99999985976648 & 2.80467039645163e-07 & 1.40233519822581e-07 \tabularnewline
110 & 0.999999931317885 & 1.37364230232303e-07 & 6.86821151161517e-08 \tabularnewline
111 & 0.99999991369235 & 1.72615299953599e-07 & 8.63076499767997e-08 \tabularnewline
112 & 0.999999938967713 & 1.22064574673816e-07 & 6.10322873369081e-08 \tabularnewline
113 & 0.999999940468298 & 1.19063404000797e-07 & 5.95317020003984e-08 \tabularnewline
114 & 0.999999944837528 & 1.10324943908319e-07 & 5.51624719541594e-08 \tabularnewline
115 & 0.999999941455772 & 1.1708845592604e-07 & 5.85442279630199e-08 \tabularnewline
116 & 0.999999928426883 & 1.4314623306499e-07 & 7.15731165324952e-08 \tabularnewline
117 & 0.999999899335828 & 2.013283446764e-07 & 1.006641723382e-07 \tabularnewline
118 & 0.999999850742635 & 2.98514731024876e-07 & 1.49257365512438e-07 \tabularnewline
119 & 0.999999830717348 & 3.38565304207799e-07 & 1.692826521039e-07 \tabularnewline
120 & 0.99999974428026 & 5.11439479537252e-07 & 2.55719739768626e-07 \tabularnewline
121 & 0.999999678042225 & 6.43915550813075e-07 & 3.21957775406537e-07 \tabularnewline
122 & 0.999999570225932 & 8.59548135994614e-07 & 4.29774067997307e-07 \tabularnewline
123 & 0.999999534419121 & 9.31161758868527e-07 & 4.65580879434263e-07 \tabularnewline
124 & 0.999999442177529 & 1.11564494227203e-06 & 5.57822471136017e-07 \tabularnewline
125 & 0.999999416289514 & 1.16742097288423e-06 & 5.83710486442114e-07 \tabularnewline
126 & 0.999999646210415 & 7.07579168964199e-07 & 3.53789584482099e-07 \tabularnewline
127 & 0.999999602392015 & 7.95215969750868e-07 & 3.97607984875434e-07 \tabularnewline
128 & 0.999999481973815 & 1.03605237085463e-06 & 5.18026185427316e-07 \tabularnewline
129 & 0.999999453878845 & 1.09224230945581e-06 & 5.46121154727905e-07 \tabularnewline
130 & 0.999999166431718 & 1.66713656397504e-06 & 8.33568281987519e-07 \tabularnewline
131 & 0.999999586639962 & 8.26720075415645e-07 & 4.13360037707822e-07 \tabularnewline
132 & 0.999999529532693 & 9.40934613594623e-07 & 4.70467306797312e-07 \tabularnewline
133 & 0.999999754200234 & 4.9159953229998e-07 & 2.4579976614999e-07 \tabularnewline
134 & 0.999999859318679 & 2.81362641312694e-07 & 1.40681320656347e-07 \tabularnewline
135 & 0.999999875131457 & 2.4973708574993e-07 & 1.24868542874965e-07 \tabularnewline
136 & 0.999999820021366 & 3.59957268116554e-07 & 1.79978634058277e-07 \tabularnewline
137 & 0.999999725201668 & 5.49596663406951e-07 & 2.74798331703476e-07 \tabularnewline
138 & 0.999999845831124 & 3.08337752655302e-07 & 1.54168876327651e-07 \tabularnewline
139 & 0.999999789182437 & 4.21635126233915e-07 & 2.10817563116958e-07 \tabularnewline
140 & 0.999999677013916 & 6.45972167235516e-07 & 3.22986083617758e-07 \tabularnewline
141 & 0.999999571932253 & 8.561354946044e-07 & 4.280677473022e-07 \tabularnewline
142 & 0.999999499942144 & 1.00011571169747e-06 & 5.00057855848735e-07 \tabularnewline
143 & 0.999999382323026 & 1.23535394769227e-06 & 6.17676973846134e-07 \tabularnewline
144 & 0.999999136928166 & 1.72614366880174e-06 & 8.63071834400868e-07 \tabularnewline
145 & 0.999999622281706 & 7.55436587881497e-07 & 3.77718293940749e-07 \tabularnewline
146 & 0.999999554222981 & 8.91554037292215e-07 & 4.45777018646108e-07 \tabularnewline
147 & 0.999999929652176 & 1.40695648950752e-07 & 7.03478244753758e-08 \tabularnewline
148 & 0.999999892923727 & 2.14152545182589e-07 & 1.07076272591294e-07 \tabularnewline
149 & 0.999999831069437 & 3.37861126387882e-07 & 1.68930563193941e-07 \tabularnewline
150 & 0.999999756259319 & 4.87481362072203e-07 & 2.43740681036102e-07 \tabularnewline
151 & 0.999999798718523 & 4.02562954919006e-07 & 2.01281477459503e-07 \tabularnewline
152 & 0.999999849937218 & 3.00125564616267e-07 & 1.50062782308134e-07 \tabularnewline
153 & 0.99999976971229 & 4.6057542085042e-07 & 2.3028771042521e-07 \tabularnewline
154 & 0.999999651759471 & 6.96481058109291e-07 & 3.48240529054645e-07 \tabularnewline
155 & 0.999999544402665 & 9.11194670926903e-07 & 4.55597335463451e-07 \tabularnewline
156 & 0.999999309244544 & 1.38151091237071e-06 & 6.90755456185354e-07 \tabularnewline
157 & 0.999999123533701 & 1.75293259824588e-06 & 8.7646629912294e-07 \tabularnewline
158 & 0.99999867422766 & 2.65154467961372e-06 & 1.32577233980686e-06 \tabularnewline
159 & 0.999998660979535 & 2.67804093079784e-06 & 1.33902046539892e-06 \tabularnewline
160 & 0.999998300852946 & 3.39829410754195e-06 & 1.69914705377098e-06 \tabularnewline
161 & 0.999997465577095 & 5.06884580923873e-06 & 2.53442290461936e-06 \tabularnewline
162 & 0.999999997046849 & 5.90630268052425e-09 & 2.95315134026212e-09 \tabularnewline
163 & 0.99999999617224 & 7.65552072415168e-09 & 3.82776036207584e-09 \tabularnewline
164 & 0.999999998782302 & 2.4353956866972e-09 & 1.2176978433486e-09 \tabularnewline
165 & 0.999999998304085 & 3.39182920313675e-09 & 1.69591460156837e-09 \tabularnewline
166 & 0.9999999976623 & 4.67540104544077e-09 & 2.33770052272039e-09 \tabularnewline
167 & 0.999999996691746 & 6.61650722756961e-09 & 3.3082536137848e-09 \tabularnewline
168 & 0.999999996382093 & 7.23581367113402e-09 & 3.61790683556701e-09 \tabularnewline
169 & 0.999999994260467 & 1.14790663031989e-08 & 5.73953315159945e-09 \tabularnewline
170 & 0.999999992389931 & 1.52201375242675e-08 & 7.61006876213373e-09 \tabularnewline
171 & 0.999999999256715 & 1.48656939143153e-09 & 7.43284695715765e-10 \tabularnewline
172 & 0.999999998768821 & 2.46235719306384e-09 & 1.23117859653192e-09 \tabularnewline
173 & 0.999999998081847 & 3.83630621025984e-09 & 1.91815310512992e-09 \tabularnewline
174 & 0.999999999999605 & 7.90995822190919e-13 & 3.95497911095459e-13 \tabularnewline
175 & 0.999999999999926 & 1.48035715529184e-13 & 7.40178577645919e-14 \tabularnewline
176 & 0.999999999999892 & 2.16175441021988e-13 & 1.08087720510994e-13 \tabularnewline
177 & 0.999999999999828 & 3.43964299828559e-13 & 1.7198214991428e-13 \tabularnewline
178 & 0.99999999999971 & 5.79168392907514e-13 & 2.89584196453757e-13 \tabularnewline
179 & 0.999999999999685 & 6.29035479287161e-13 & 3.14517739643581e-13 \tabularnewline
180 & 0.999999999999573 & 8.5433359234557e-13 & 4.27166796172785e-13 \tabularnewline
181 & 0.999999999999728 & 5.44166164136909e-13 & 2.72083082068455e-13 \tabularnewline
182 & 0.999999999999658 & 6.84239268439068e-13 & 3.42119634219534e-13 \tabularnewline
183 & 0.999999999999305 & 1.38990917416099e-12 & 6.94954587080493e-13 \tabularnewline
184 & 0.999999999999023 & 1.95418939395945e-12 & 9.77094696979726e-13 \tabularnewline
185 & 0.999999999998674 & 2.65269768446161e-12 & 1.32634884223081e-12 \tabularnewline
186 & 0.999999999997339 & 5.32198261008695e-12 & 2.66099130504347e-12 \tabularnewline
187 & 0.999999999994743 & 1.05137288017144e-11 & 5.25686440085719e-12 \tabularnewline
188 & 0.999999999989619 & 2.0762768116495e-11 & 1.03813840582475e-11 \tabularnewline
189 & 0.999999999980547 & 3.89050599368655e-11 & 1.94525299684328e-11 \tabularnewline
190 & 0.999999999969615 & 6.07697524552969e-11 & 3.03848762276484e-11 \tabularnewline
191 & 0.999999999970934 & 5.81325921051477e-11 & 2.90662960525739e-11 \tabularnewline
192 & 0.99999999995199 & 9.6020315772385e-11 & 4.80101578861925e-11 \tabularnewline
193 & 0.999999999935562 & 1.28876512431889e-10 & 6.44382562159445e-11 \tabularnewline
194 & 0.999999999977369 & 4.52614738198414e-11 & 2.26307369099207e-11 \tabularnewline
195 & 0.999999999958999 & 8.20009694353819e-11 & 4.1000484717691e-11 \tabularnewline
196 & 0.999999999946863 & 1.06275089137454e-10 & 5.3137544568727e-11 \tabularnewline
197 & 0.999999999925078 & 1.49842974980957e-10 & 7.49214874904784e-11 \tabularnewline
198 & 0.999999999900681 & 1.98638484264342e-10 & 9.93192421321709e-11 \tabularnewline
199 & 0.999999999820623 & 3.58754733215595e-10 & 1.79377366607798e-10 \tabularnewline
200 & 0.999999999682691 & 6.34617398944237e-10 & 3.17308699472119e-10 \tabularnewline
201 & 0.999999999560298 & 8.79404130211306e-10 & 4.39702065105653e-10 \tabularnewline
202 & 0.999999999248244 & 1.50351263623537e-09 & 7.51756318117685e-10 \tabularnewline
203 & 0.999999998645081 & 2.70983736396819e-09 & 1.3549186819841e-09 \tabularnewline
204 & 0.999999997465659 & 5.06868233997674e-09 & 2.53434116998837e-09 \tabularnewline
205 & 0.999999996172943 & 7.65411420020119e-09 & 3.82705710010059e-09 \tabularnewline
206 & 0.999999994136267 & 1.17274652857109e-08 & 5.86373264285543e-09 \tabularnewline
207 & 0.999999991093358 & 1.78132843972678e-08 & 8.9066421986339e-09 \tabularnewline
208 & 0.999999984639252 & 3.07214956139023e-08 & 1.53607478069511e-08 \tabularnewline
209 & 0.999999974345782 & 5.13084361494038e-08 & 2.56542180747019e-08 \tabularnewline
210 & 0.999999956478932 & 8.70421352635156e-08 & 4.35210676317578e-08 \tabularnewline
211 & 0.999999979955513 & 4.0088973604178e-08 & 2.0044486802089e-08 \tabularnewline
212 & 0.999999966926406 & 6.61471885454649e-08 & 3.30735942727325e-08 \tabularnewline
213 & 0.999999942878028 & 1.14243943183366e-07 & 5.71219715916832e-08 \tabularnewline
214 & 0.999999898509338 & 2.02981323197607e-07 & 1.01490661598804e-07 \tabularnewline
215 & 0.999999996301532 & 7.396936862706e-09 & 3.698468431353e-09 \tabularnewline
216 & 0.999999994531489 & 1.09370215951375e-08 & 5.46851079756874e-09 \tabularnewline
217 & 0.999999991412091 & 1.71758187942484e-08 & 8.5879093971242e-09 \tabularnewline
218 & 0.999999999999294 & 1.41227466432649e-12 & 7.06137332163244e-13 \tabularnewline
219 & 0.999999999999835 & 3.30550156651027e-13 & 1.65275078325514e-13 \tabularnewline
220 & 0.999999999999614 & 7.72632881651869e-13 & 3.86316440825935e-13 \tabularnewline
221 & 0.99999999999933 & 1.34041224800787e-12 & 6.70206124003934e-13 \tabularnewline
222 & 0.999999999999998 & 3.67069326634535e-15 & 1.83534663317267e-15 \tabularnewline
223 & 0.999999999999995 & 9.97878639283193e-15 & 4.98939319641596e-15 \tabularnewline
224 & 0.999999999999987 & 2.56527136854682e-14 & 1.28263568427341e-14 \tabularnewline
225 & 0.999999999999968 & 6.41555220149383e-14 & 3.20777610074691e-14 \tabularnewline
226 & 0.999999999999985 & 3.06070990702537e-14 & 1.53035495351269e-14 \tabularnewline
227 & 0.999999999999958 & 8.319743889321e-14 & 4.1598719446605e-14 \tabularnewline
228 & 0.999999999999894 & 2.11959051480504e-13 & 1.05979525740252e-13 \tabularnewline
229 & 0.999999999999723 & 5.53379516056192e-13 & 2.76689758028096e-13 \tabularnewline
230 & 0.999999999999641 & 7.17748913360601e-13 & 3.58874456680301e-13 \tabularnewline
231 & 0.999999999999228 & 1.54446016513913e-12 & 7.72230082569566e-13 \tabularnewline
232 & 0.999999999998446 & 3.10863554901841e-12 & 1.5543177745092e-12 \tabularnewline
233 & 0.999999999998426 & 3.1476924947158e-12 & 1.5738462473579e-12 \tabularnewline
234 & 0.999999999995937 & 8.12588277977423e-12 & 4.06294138988711e-12 \tabularnewline
235 & 0.999999999990613 & 1.87735045518124e-11 & 9.38675227590621e-12 \tabularnewline
236 & 0.999999999978021 & 4.39587938917907e-11 & 2.19793969458954e-11 \tabularnewline
237 & 0.999999999948407 & 1.03186099889188e-10 & 5.1593049944594e-11 \tabularnewline
238 & 0.999999999884223 & 2.31554141224283e-10 & 1.15777070612141e-10 \tabularnewline
239 & 0.999999999724382 & 5.51235928867382e-10 & 2.75617964433691e-10 \tabularnewline
240 & 0.999999999395725 & 1.2085494621262e-09 & 6.04274731063099e-10 \tabularnewline
241 & 0.999999998681175 & 2.63765045963101e-09 & 1.31882522981551e-09 \tabularnewline
242 & 0.999999998711879 & 2.57624159164325e-09 & 1.28812079582163e-09 \tabularnewline
243 & 0.999999997128815 & 5.74237074763454e-09 & 2.87118537381727e-09 \tabularnewline
244 & 0.999999996856012 & 6.2879762971047e-09 & 3.14398814855235e-09 \tabularnewline
245 & 0.999999992351143 & 1.52977142534305e-08 & 7.64885712671525e-09 \tabularnewline
246 & 0.999999981331536 & 3.73369277809326e-08 & 1.86684638904663e-08 \tabularnewline
247 & 0.999999978100587 & 4.37988263544647e-08 & 2.18994131772324e-08 \tabularnewline
248 & 0.999999947952986 & 1.04094027961557e-07 & 5.20470139807783e-08 \tabularnewline
249 & 0.999999881614262 & 2.36771476373094e-07 & 1.18385738186547e-07 \tabularnewline
250 & 0.999999766706304 & 4.66587392012819e-07 & 2.33293696006409e-07 \tabularnewline
251 & 0.999999538377666 & 9.23244668597648e-07 & 4.61622334298824e-07 \tabularnewline
252 & 0.999998954671302 & 2.09065739513373e-06 & 1.04532869756686e-06 \tabularnewline
253 & 0.99999762410242 & 4.75179515924042e-06 & 2.37589757962021e-06 \tabularnewline
254 & 0.999994958974767 & 1.00820504659896e-05 & 5.04102523299478e-06 \tabularnewline
255 & 0.999993305031519 & 1.3389936962002e-05 & 6.69496848100102e-06 \tabularnewline
256 & 0.999986440197701 & 2.71196045987756e-05 & 1.35598022993878e-05 \tabularnewline
257 & 0.999974371435462 & 5.12571290751246e-05 & 2.56285645375623e-05 \tabularnewline
258 & 0.999945598882563 & 0.000108802234874614 & 5.4401117437307e-05 \tabularnewline
259 & 0.999923167260016 & 0.000153665479968795 & 7.68327399843975e-05 \tabularnewline
260 & 0.999841083898897 & 0.000317832202205997 & 0.000158916101102999 \tabularnewline
261 & 0.999683732181207 & 0.000632535637586143 & 0.000316267818793072 \tabularnewline
262 & 0.999427770011416 & 0.00114445997716739 & 0.000572229988583696 \tabularnewline
263 & 0.998960362976015 & 0.00207927404797052 & 0.00103963702398526 \tabularnewline
264 & 0.998326107822163 & 0.00334778435567359 & 0.0016738921778368 \tabularnewline
265 & 0.997022595778079 & 0.00595480844384309 & 0.00297740422192155 \tabularnewline
266 & 0.99601241137848 & 0.00797517724303915 & 0.00398758862151958 \tabularnewline
267 & 0.994108727923279 & 0.011782544153442 & 0.00589127207672101 \tabularnewline
268 & 0.989611999959048 & 0.0207760000819049 & 0.0103880000409525 \tabularnewline
269 & 0.98474321857215 & 0.0305135628557009 & 0.0152567814278505 \tabularnewline
270 & 0.980423347989272 & 0.0391533040214553 & 0.0195766520107276 \tabularnewline
271 & 0.973054359812371 & 0.0538912803752578 & 0.0269456401876289 \tabularnewline
272 & 0.952481152297107 & 0.0950376954057862 & 0.0475188477028931 \tabularnewline
273 & 0.922548533237837 & 0.154902933524325 & 0.0774514667621625 \tabularnewline
274 & 0.877190266462814 & 0.245619467074371 & 0.122809733537186 \tabularnewline
275 & 0.828857242841351 & 0.342285514317298 & 0.171142757158649 \tabularnewline
276 & 0.983738608339149 & 0.0325227833217019 & 0.016261391660851 \tabularnewline
277 & 0.999161916382991 & 0.00167616723401757 & 0.000838083617008786 \tabularnewline
278 & 0.99559609296009 & 0.00880781407981988 & 0.00440390703990994 \tabularnewline
279 & 0.978762636076803 & 0.042474727846393 & 0.0212373639231965 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197424&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]10[/C][C]0.317481873766643[/C][C]0.634963747533286[/C][C]0.682518126233357[/C][/ROW]
[ROW][C]11[/C][C]0.464239415014355[/C][C]0.92847883002871[/C][C]0.535760584985645[/C][/ROW]
[ROW][C]12[/C][C]0.885096739215172[/C][C]0.229806521569656[/C][C]0.114903260784828[/C][/ROW]
[ROW][C]13[/C][C]0.889560117241981[/C][C]0.220879765516037[/C][C]0.110439882758019[/C][/ROW]
[ROW][C]14[/C][C]0.844481825842464[/C][C]0.311036348315072[/C][C]0.155518174157536[/C][/ROW]
[ROW][C]15[/C][C]0.792462191106048[/C][C]0.415075617787903[/C][C]0.207537808893952[/C][/ROW]
[ROW][C]16[/C][C]0.762707355889102[/C][C]0.474585288221797[/C][C]0.237292644110898[/C][/ROW]
[ROW][C]17[/C][C]0.962500942087895[/C][C]0.0749981158242106[/C][C]0.0374990579121053[/C][/ROW]
[ROW][C]18[/C][C]0.947915101478099[/C][C]0.104169797043803[/C][C]0.0520848985219014[/C][/ROW]
[ROW][C]19[/C][C]0.92327683834251[/C][C]0.153446323314979[/C][C]0.0767231616574896[/C][/ROW]
[ROW][C]20[/C][C]0.909582710819988[/C][C]0.180834578360024[/C][C]0.0904172891800118[/C][/ROW]
[ROW][C]21[/C][C]0.924847915733745[/C][C]0.150304168532509[/C][C]0.0751520842662545[/C][/ROW]
[ROW][C]22[/C][C]0.923947315318619[/C][C]0.152105369362763[/C][C]0.0760526846813814[/C][/ROW]
[ROW][C]23[/C][C]0.896290520449368[/C][C]0.207418959101263[/C][C]0.103709479550632[/C][/ROW]
[ROW][C]24[/C][C]0.892227297566624[/C][C]0.215545404866753[/C][C]0.107772702433376[/C][/ROW]
[ROW][C]25[/C][C]0.868412015409231[/C][C]0.263175969181538[/C][C]0.131587984590769[/C][/ROW]
[ROW][C]26[/C][C]0.83526343692099[/C][C]0.32947312615802[/C][C]0.16473656307901[/C][/ROW]
[ROW][C]27[/C][C]0.866294485785709[/C][C]0.267411028428581[/C][C]0.133705514214291[/C][/ROW]
[ROW][C]28[/C][C]0.872105829424794[/C][C]0.255788341150413[/C][C]0.127894170575206[/C][/ROW]
[ROW][C]29[/C][C]0.876772859274663[/C][C]0.246454281450673[/C][C]0.123227140725337[/C][/ROW]
[ROW][C]30[/C][C]0.895975565711015[/C][C]0.208048868577971[/C][C]0.104024434288985[/C][/ROW]
[ROW][C]31[/C][C]0.870290526503276[/C][C]0.259418946993448[/C][C]0.129709473496724[/C][/ROW]
[ROW][C]32[/C][C]0.848146913102482[/C][C]0.303706173795036[/C][C]0.151853086897518[/C][/ROW]
[ROW][C]33[/C][C]0.852567893524099[/C][C]0.294864212951802[/C][C]0.147432106475901[/C][/ROW]
[ROW][C]34[/C][C]0.883869619118064[/C][C]0.232260761763872[/C][C]0.116130380881936[/C][/ROW]
[ROW][C]35[/C][C]0.86212293486093[/C][C]0.275754130278139[/C][C]0.13787706513907[/C][/ROW]
[ROW][C]36[/C][C]0.831343527867933[/C][C]0.337312944264133[/C][C]0.168656472132067[/C][/ROW]
[ROW][C]37[/C][C]0.797428308445768[/C][C]0.405143383108464[/C][C]0.202571691554232[/C][/ROW]
[ROW][C]38[/C][C]0.814456384554813[/C][C]0.371087230890374[/C][C]0.185543615445187[/C][/ROW]
[ROW][C]39[/C][C]0.824236768413688[/C][C]0.351526463172623[/C][C]0.175763231586312[/C][/ROW]
[ROW][C]40[/C][C]0.789651467529052[/C][C]0.420697064941896[/C][C]0.210348532470948[/C][/ROW]
[ROW][C]41[/C][C]0.751784643274142[/C][C]0.496430713451716[/C][C]0.248215356725858[/C][/ROW]
[ROW][C]42[/C][C]0.709882933887375[/C][C]0.580234132225249[/C][C]0.290117066112625[/C][/ROW]
[ROW][C]43[/C][C]0.680759118777805[/C][C]0.638481762444391[/C][C]0.319240881222195[/C][/ROW]
[ROW][C]44[/C][C]0.641282168124585[/C][C]0.717435663750831[/C][C]0.358717831875415[/C][/ROW]
[ROW][C]45[/C][C]0.833728228654504[/C][C]0.332543542690993[/C][C]0.166271771345496[/C][/ROW]
[ROW][C]46[/C][C]0.817080402852944[/C][C]0.365839194294112[/C][C]0.182919597147056[/C][/ROW]
[ROW][C]47[/C][C]0.795638363474217[/C][C]0.408723273051566[/C][C]0.204361636525783[/C][/ROW]
[ROW][C]48[/C][C]0.798742886060598[/C][C]0.402514227878804[/C][C]0.201257113939402[/C][/ROW]
[ROW][C]49[/C][C]0.767655442545524[/C][C]0.464689114908952[/C][C]0.232344557454476[/C][/ROW]
[ROW][C]50[/C][C]0.884769070801845[/C][C]0.230461858396311[/C][C]0.115230929198155[/C][/ROW]
[ROW][C]51[/C][C]0.947037469728857[/C][C]0.105925060542286[/C][C]0.0529625302711428[/C][/ROW]
[ROW][C]52[/C][C]0.938197492335549[/C][C]0.123605015328902[/C][C]0.061802507664451[/C][/ROW]
[ROW][C]53[/C][C]0.946920110211537[/C][C]0.106159779576926[/C][C]0.0530798897884628[/C][/ROW]
[ROW][C]54[/C][C]0.974263032528528[/C][C]0.0514739349429441[/C][C]0.025736967471472[/C][/ROW]
[ROW][C]55[/C][C]0.967223579200935[/C][C]0.0655528415981308[/C][C]0.0327764207990654[/C][/ROW]
[ROW][C]56[/C][C]0.964531843595246[/C][C]0.0709363128095071[/C][C]0.0354681564047536[/C][/ROW]
[ROW][C]57[/C][C]0.955291349797319[/C][C]0.0894173004053615[/C][C]0.0447086502026807[/C][/ROW]
[ROW][C]58[/C][C]0.96900947695011[/C][C]0.0619810460997804[/C][C]0.0309905230498902[/C][/ROW]
[ROW][C]59[/C][C]0.971770061685337[/C][C]0.0564598766293261[/C][C]0.028229938314663[/C][/ROW]
[ROW][C]60[/C][C]0.968638894600591[/C][C]0.0627222107988185[/C][C]0.0313611053994092[/C][/ROW]
[ROW][C]61[/C][C]0.963436520508398[/C][C]0.0731269589832032[/C][C]0.0365634794916016[/C][/ROW]
[ROW][C]62[/C][C]0.955772197799181[/C][C]0.0884556044016387[/C][C]0.0442278022008193[/C][/ROW]
[ROW][C]63[/C][C]0.956824766042589[/C][C]0.0863504679148216[/C][C]0.0431752339574108[/C][/ROW]
[ROW][C]64[/C][C]0.946888154943558[/C][C]0.106223690112883[/C][C]0.0531118450564416[/C][/ROW]
[ROW][C]65[/C][C]0.952641813258856[/C][C]0.0947163734822876[/C][C]0.0473581867411438[/C][/ROW]
[ROW][C]66[/C][C]0.949944404976328[/C][C]0.100111190047344[/C][C]0.0500555950236722[/C][/ROW]
[ROW][C]67[/C][C]0.998181179501437[/C][C]0.00363764099712548[/C][C]0.00181882049856274[/C][/ROW]
[ROW][C]68[/C][C]0.99890796086068[/C][C]0.00218407827863948[/C][C]0.00109203913931974[/C][/ROW]
[ROW][C]69[/C][C]0.999844517257985[/C][C]0.000310965484030144[/C][C]0.000155482742015072[/C][/ROW]
[ROW][C]70[/C][C]0.999882643471011[/C][C]0.000234713057977229[/C][C]0.000117356528988615[/C][/ROW]
[ROW][C]71[/C][C]0.99992791769252[/C][C]0.000144164614960289[/C][C]7.20823074801447e-05[/C][/ROW]
[ROW][C]72[/C][C]0.999906017515777[/C][C]0.000187964968445673[/C][C]9.39824842228365e-05[/C][/ROW]
[ROW][C]73[/C][C]0.999888018736371[/C][C]0.000223962527257151[/C][C]0.000111981263628575[/C][/ROW]
[ROW][C]74[/C][C]0.999881619337452[/C][C]0.000236761325095949[/C][C]0.000118380662547975[/C][/ROW]
[ROW][C]75[/C][C]0.999920452803971[/C][C]0.000159094392058692[/C][C]7.95471960293462e-05[/C][/ROW]
[ROW][C]76[/C][C]0.999885585405422[/C][C]0.000228829189156449[/C][C]0.000114414594578224[/C][/ROW]
[ROW][C]77[/C][C]0.999943272685278[/C][C]0.000113454629443007[/C][C]5.67273147215037e-05[/C][/ROW]
[ROW][C]78[/C][C]0.999997388812061[/C][C]5.22237587763286e-06[/C][C]2.61118793881643e-06[/C][/ROW]
[ROW][C]79[/C][C]0.999998204758549[/C][C]3.59048290120363e-06[/C][C]1.79524145060181e-06[/C][/ROW]
[ROW][C]80[/C][C]0.99999837114085[/C][C]3.25771830026916e-06[/C][C]1.62885915013458e-06[/C][/ROW]
[ROW][C]81[/C][C]0.999997577883585[/C][C]4.84423283095332e-06[/C][C]2.42211641547666e-06[/C][/ROW]
[ROW][C]82[/C][C]0.999997583945725[/C][C]4.83210855054867e-06[/C][C]2.41605427527433e-06[/C][/ROW]
[ROW][C]83[/C][C]0.99999745654115[/C][C]5.08691769947224e-06[/C][C]2.54345884973612e-06[/C][/ROW]
[ROW][C]84[/C][C]0.999996339161153[/C][C]7.32167769486754e-06[/C][C]3.66083884743377e-06[/C][/ROW]
[ROW][C]85[/C][C]0.999996876410413[/C][C]6.24717917340088e-06[/C][C]3.12358958670044e-06[/C][/ROW]
[ROW][C]86[/C][C]0.999995378930865[/C][C]9.24213826917717e-06[/C][C]4.62106913458859e-06[/C][/ROW]
[ROW][C]87[/C][C]0.999996471692062[/C][C]7.05661587575163e-06[/C][C]3.52830793787582e-06[/C][/ROW]
[ROW][C]88[/C][C]0.999995199125384[/C][C]9.60174923138353e-06[/C][C]4.80087461569176e-06[/C][/ROW]
[ROW][C]89[/C][C]0.999996672854964[/C][C]6.65429007193924e-06[/C][C]3.32714503596962e-06[/C][/ROW]
[ROW][C]90[/C][C]0.999996549963531[/C][C]6.90007293736703e-06[/C][C]3.45003646868352e-06[/C][/ROW]
[ROW][C]91[/C][C]0.999995076235242[/C][C]9.84752951647755e-06[/C][C]4.92376475823877e-06[/C][/ROW]
[ROW][C]92[/C][C]0.999992612705275[/C][C]1.47745894507895e-05[/C][C]7.38729472539473e-06[/C][/ROW]
[ROW][C]93[/C][C]0.999992648551939[/C][C]1.47028961227452e-05[/C][C]7.3514480613726e-06[/C][/ROW]
[ROW][C]94[/C][C]0.999994175526407[/C][C]1.16489471863158e-05[/C][C]5.82447359315792e-06[/C][/ROW]
[ROW][C]95[/C][C]0.999992578808997[/C][C]1.48423820067291e-05[/C][C]7.42119100336457e-06[/C][/ROW]
[ROW][C]96[/C][C]0.999991405858595[/C][C]1.71882828090498e-05[/C][C]8.59414140452491e-06[/C][/ROW]
[ROW][C]97[/C][C]0.999996678196513[/C][C]6.64360697298604e-06[/C][C]3.32180348649302e-06[/C][/ROW]
[ROW][C]98[/C][C]0.999996605860999[/C][C]6.78827800117926e-06[/C][C]3.39413900058963e-06[/C][/ROW]
[ROW][C]99[/C][C]0.999996467985245[/C][C]7.06402950922341e-06[/C][C]3.5320147546117e-06[/C][/ROW]
[ROW][C]100[/C][C]0.999994857781858[/C][C]1.02844362841395e-05[/C][C]5.14221814206977e-06[/C][/ROW]
[ROW][C]101[/C][C]0.999996283925899[/C][C]7.43214820248312e-06[/C][C]3.71607410124156e-06[/C][/ROW]
[ROW][C]102[/C][C]0.999995822385894[/C][C]8.35522821134879e-06[/C][C]4.1776141056744e-06[/C][/ROW]
[ROW][C]103[/C][C]0.999994650512983[/C][C]1.06989740343588e-05[/C][C]5.3494870171794e-06[/C][/ROW]
[ROW][C]104[/C][C]0.999992287153098[/C][C]1.54256938038622e-05[/C][C]7.71284690193109e-06[/C][/ROW]
[ROW][C]105[/C][C]0.99999027133527[/C][C]1.94573294594781e-05[/C][C]9.72866472973904e-06[/C][/ROW]
[ROW][C]106[/C][C]0.999986916322682[/C][C]2.61673546353494e-05[/C][C]1.30836773176747e-05[/C][/ROW]
[ROW][C]107[/C][C]0.999995454991135[/C][C]9.0900177310171e-06[/C][C]4.54500886550855e-06[/C][/ROW]
[ROW][C]108[/C][C]0.999995041539135[/C][C]9.91692173039091e-06[/C][C]4.95846086519545e-06[/C][/ROW]
[ROW][C]109[/C][C]0.99999985976648[/C][C]2.80467039645163e-07[/C][C]1.40233519822581e-07[/C][/ROW]
[ROW][C]110[/C][C]0.999999931317885[/C][C]1.37364230232303e-07[/C][C]6.86821151161517e-08[/C][/ROW]
[ROW][C]111[/C][C]0.99999991369235[/C][C]1.72615299953599e-07[/C][C]8.63076499767997e-08[/C][/ROW]
[ROW][C]112[/C][C]0.999999938967713[/C][C]1.22064574673816e-07[/C][C]6.10322873369081e-08[/C][/ROW]
[ROW][C]113[/C][C]0.999999940468298[/C][C]1.19063404000797e-07[/C][C]5.95317020003984e-08[/C][/ROW]
[ROW][C]114[/C][C]0.999999944837528[/C][C]1.10324943908319e-07[/C][C]5.51624719541594e-08[/C][/ROW]
[ROW][C]115[/C][C]0.999999941455772[/C][C]1.1708845592604e-07[/C][C]5.85442279630199e-08[/C][/ROW]
[ROW][C]116[/C][C]0.999999928426883[/C][C]1.4314623306499e-07[/C][C]7.15731165324952e-08[/C][/ROW]
[ROW][C]117[/C][C]0.999999899335828[/C][C]2.013283446764e-07[/C][C]1.006641723382e-07[/C][/ROW]
[ROW][C]118[/C][C]0.999999850742635[/C][C]2.98514731024876e-07[/C][C]1.49257365512438e-07[/C][/ROW]
[ROW][C]119[/C][C]0.999999830717348[/C][C]3.38565304207799e-07[/C][C]1.692826521039e-07[/C][/ROW]
[ROW][C]120[/C][C]0.99999974428026[/C][C]5.11439479537252e-07[/C][C]2.55719739768626e-07[/C][/ROW]
[ROW][C]121[/C][C]0.999999678042225[/C][C]6.43915550813075e-07[/C][C]3.21957775406537e-07[/C][/ROW]
[ROW][C]122[/C][C]0.999999570225932[/C][C]8.59548135994614e-07[/C][C]4.29774067997307e-07[/C][/ROW]
[ROW][C]123[/C][C]0.999999534419121[/C][C]9.31161758868527e-07[/C][C]4.65580879434263e-07[/C][/ROW]
[ROW][C]124[/C][C]0.999999442177529[/C][C]1.11564494227203e-06[/C][C]5.57822471136017e-07[/C][/ROW]
[ROW][C]125[/C][C]0.999999416289514[/C][C]1.16742097288423e-06[/C][C]5.83710486442114e-07[/C][/ROW]
[ROW][C]126[/C][C]0.999999646210415[/C][C]7.07579168964199e-07[/C][C]3.53789584482099e-07[/C][/ROW]
[ROW][C]127[/C][C]0.999999602392015[/C][C]7.95215969750868e-07[/C][C]3.97607984875434e-07[/C][/ROW]
[ROW][C]128[/C][C]0.999999481973815[/C][C]1.03605237085463e-06[/C][C]5.18026185427316e-07[/C][/ROW]
[ROW][C]129[/C][C]0.999999453878845[/C][C]1.09224230945581e-06[/C][C]5.46121154727905e-07[/C][/ROW]
[ROW][C]130[/C][C]0.999999166431718[/C][C]1.66713656397504e-06[/C][C]8.33568281987519e-07[/C][/ROW]
[ROW][C]131[/C][C]0.999999586639962[/C][C]8.26720075415645e-07[/C][C]4.13360037707822e-07[/C][/ROW]
[ROW][C]132[/C][C]0.999999529532693[/C][C]9.40934613594623e-07[/C][C]4.70467306797312e-07[/C][/ROW]
[ROW][C]133[/C][C]0.999999754200234[/C][C]4.9159953229998e-07[/C][C]2.4579976614999e-07[/C][/ROW]
[ROW][C]134[/C][C]0.999999859318679[/C][C]2.81362641312694e-07[/C][C]1.40681320656347e-07[/C][/ROW]
[ROW][C]135[/C][C]0.999999875131457[/C][C]2.4973708574993e-07[/C][C]1.24868542874965e-07[/C][/ROW]
[ROW][C]136[/C][C]0.999999820021366[/C][C]3.59957268116554e-07[/C][C]1.79978634058277e-07[/C][/ROW]
[ROW][C]137[/C][C]0.999999725201668[/C][C]5.49596663406951e-07[/C][C]2.74798331703476e-07[/C][/ROW]
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[ROW][C]139[/C][C]0.999999789182437[/C][C]4.21635126233915e-07[/C][C]2.10817563116958e-07[/C][/ROW]
[ROW][C]140[/C][C]0.999999677013916[/C][C]6.45972167235516e-07[/C][C]3.22986083617758e-07[/C][/ROW]
[ROW][C]141[/C][C]0.999999571932253[/C][C]8.561354946044e-07[/C][C]4.280677473022e-07[/C][/ROW]
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[ROW][C]143[/C][C]0.999999382323026[/C][C]1.23535394769227e-06[/C][C]6.17676973846134e-07[/C][/ROW]
[ROW][C]144[/C][C]0.999999136928166[/C][C]1.72614366880174e-06[/C][C]8.63071834400868e-07[/C][/ROW]
[ROW][C]145[/C][C]0.999999622281706[/C][C]7.55436587881497e-07[/C][C]3.77718293940749e-07[/C][/ROW]
[ROW][C]146[/C][C]0.999999554222981[/C][C]8.91554037292215e-07[/C][C]4.45777018646108e-07[/C][/ROW]
[ROW][C]147[/C][C]0.999999929652176[/C][C]1.40695648950752e-07[/C][C]7.03478244753758e-08[/C][/ROW]
[ROW][C]148[/C][C]0.999999892923727[/C][C]2.14152545182589e-07[/C][C]1.07076272591294e-07[/C][/ROW]
[ROW][C]149[/C][C]0.999999831069437[/C][C]3.37861126387882e-07[/C][C]1.68930563193941e-07[/C][/ROW]
[ROW][C]150[/C][C]0.999999756259319[/C][C]4.87481362072203e-07[/C][C]2.43740681036102e-07[/C][/ROW]
[ROW][C]151[/C][C]0.999999798718523[/C][C]4.02562954919006e-07[/C][C]2.01281477459503e-07[/C][/ROW]
[ROW][C]152[/C][C]0.999999849937218[/C][C]3.00125564616267e-07[/C][C]1.50062782308134e-07[/C][/ROW]
[ROW][C]153[/C][C]0.99999976971229[/C][C]4.6057542085042e-07[/C][C]2.3028771042521e-07[/C][/ROW]
[ROW][C]154[/C][C]0.999999651759471[/C][C]6.96481058109291e-07[/C][C]3.48240529054645e-07[/C][/ROW]
[ROW][C]155[/C][C]0.999999544402665[/C][C]9.11194670926903e-07[/C][C]4.55597335463451e-07[/C][/ROW]
[ROW][C]156[/C][C]0.999999309244544[/C][C]1.38151091237071e-06[/C][C]6.90755456185354e-07[/C][/ROW]
[ROW][C]157[/C][C]0.999999123533701[/C][C]1.75293259824588e-06[/C][C]8.7646629912294e-07[/C][/ROW]
[ROW][C]158[/C][C]0.99999867422766[/C][C]2.65154467961372e-06[/C][C]1.32577233980686e-06[/C][/ROW]
[ROW][C]159[/C][C]0.999998660979535[/C][C]2.67804093079784e-06[/C][C]1.33902046539892e-06[/C][/ROW]
[ROW][C]160[/C][C]0.999998300852946[/C][C]3.39829410754195e-06[/C][C]1.69914705377098e-06[/C][/ROW]
[ROW][C]161[/C][C]0.999997465577095[/C][C]5.06884580923873e-06[/C][C]2.53442290461936e-06[/C][/ROW]
[ROW][C]162[/C][C]0.999999997046849[/C][C]5.90630268052425e-09[/C][C]2.95315134026212e-09[/C][/ROW]
[ROW][C]163[/C][C]0.99999999617224[/C][C]7.65552072415168e-09[/C][C]3.82776036207584e-09[/C][/ROW]
[ROW][C]164[/C][C]0.999999998782302[/C][C]2.4353956866972e-09[/C][C]1.2176978433486e-09[/C][/ROW]
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[ROW][C]166[/C][C]0.9999999976623[/C][C]4.67540104544077e-09[/C][C]2.33770052272039e-09[/C][/ROW]
[ROW][C]167[/C][C]0.999999996691746[/C][C]6.61650722756961e-09[/C][C]3.3082536137848e-09[/C][/ROW]
[ROW][C]168[/C][C]0.999999996382093[/C][C]7.23581367113402e-09[/C][C]3.61790683556701e-09[/C][/ROW]
[ROW][C]169[/C][C]0.999999994260467[/C][C]1.14790663031989e-08[/C][C]5.73953315159945e-09[/C][/ROW]
[ROW][C]170[/C][C]0.999999992389931[/C][C]1.52201375242675e-08[/C][C]7.61006876213373e-09[/C][/ROW]
[ROW][C]171[/C][C]0.999999999256715[/C][C]1.48656939143153e-09[/C][C]7.43284695715765e-10[/C][/ROW]
[ROW][C]172[/C][C]0.999999998768821[/C][C]2.46235719306384e-09[/C][C]1.23117859653192e-09[/C][/ROW]
[ROW][C]173[/C][C]0.999999998081847[/C][C]3.83630621025984e-09[/C][C]1.91815310512992e-09[/C][/ROW]
[ROW][C]174[/C][C]0.999999999999605[/C][C]7.90995822190919e-13[/C][C]3.95497911095459e-13[/C][/ROW]
[ROW][C]175[/C][C]0.999999999999926[/C][C]1.48035715529184e-13[/C][C]7.40178577645919e-14[/C][/ROW]
[ROW][C]176[/C][C]0.999999999999892[/C][C]2.16175441021988e-13[/C][C]1.08087720510994e-13[/C][/ROW]
[ROW][C]177[/C][C]0.999999999999828[/C][C]3.43964299828559e-13[/C][C]1.7198214991428e-13[/C][/ROW]
[ROW][C]178[/C][C]0.99999999999971[/C][C]5.79168392907514e-13[/C][C]2.89584196453757e-13[/C][/ROW]
[ROW][C]179[/C][C]0.999999999999685[/C][C]6.29035479287161e-13[/C][C]3.14517739643581e-13[/C][/ROW]
[ROW][C]180[/C][C]0.999999999999573[/C][C]8.5433359234557e-13[/C][C]4.27166796172785e-13[/C][/ROW]
[ROW][C]181[/C][C]0.999999999999728[/C][C]5.44166164136909e-13[/C][C]2.72083082068455e-13[/C][/ROW]
[ROW][C]182[/C][C]0.999999999999658[/C][C]6.84239268439068e-13[/C][C]3.42119634219534e-13[/C][/ROW]
[ROW][C]183[/C][C]0.999999999999305[/C][C]1.38990917416099e-12[/C][C]6.94954587080493e-13[/C][/ROW]
[ROW][C]184[/C][C]0.999999999999023[/C][C]1.95418939395945e-12[/C][C]9.77094696979726e-13[/C][/ROW]
[ROW][C]185[/C][C]0.999999999998674[/C][C]2.65269768446161e-12[/C][C]1.32634884223081e-12[/C][/ROW]
[ROW][C]186[/C][C]0.999999999997339[/C][C]5.32198261008695e-12[/C][C]2.66099130504347e-12[/C][/ROW]
[ROW][C]187[/C][C]0.999999999994743[/C][C]1.05137288017144e-11[/C][C]5.25686440085719e-12[/C][/ROW]
[ROW][C]188[/C][C]0.999999999989619[/C][C]2.0762768116495e-11[/C][C]1.03813840582475e-11[/C][/ROW]
[ROW][C]189[/C][C]0.999999999980547[/C][C]3.89050599368655e-11[/C][C]1.94525299684328e-11[/C][/ROW]
[ROW][C]190[/C][C]0.999999999969615[/C][C]6.07697524552969e-11[/C][C]3.03848762276484e-11[/C][/ROW]
[ROW][C]191[/C][C]0.999999999970934[/C][C]5.81325921051477e-11[/C][C]2.90662960525739e-11[/C][/ROW]
[ROW][C]192[/C][C]0.99999999995199[/C][C]9.6020315772385e-11[/C][C]4.80101578861925e-11[/C][/ROW]
[ROW][C]193[/C][C]0.999999999935562[/C][C]1.28876512431889e-10[/C][C]6.44382562159445e-11[/C][/ROW]
[ROW][C]194[/C][C]0.999999999977369[/C][C]4.52614738198414e-11[/C][C]2.26307369099207e-11[/C][/ROW]
[ROW][C]195[/C][C]0.999999999958999[/C][C]8.20009694353819e-11[/C][C]4.1000484717691e-11[/C][/ROW]
[ROW][C]196[/C][C]0.999999999946863[/C][C]1.06275089137454e-10[/C][C]5.3137544568727e-11[/C][/ROW]
[ROW][C]197[/C][C]0.999999999925078[/C][C]1.49842974980957e-10[/C][C]7.49214874904784e-11[/C][/ROW]
[ROW][C]198[/C][C]0.999999999900681[/C][C]1.98638484264342e-10[/C][C]9.93192421321709e-11[/C][/ROW]
[ROW][C]199[/C][C]0.999999999820623[/C][C]3.58754733215595e-10[/C][C]1.79377366607798e-10[/C][/ROW]
[ROW][C]200[/C][C]0.999999999682691[/C][C]6.34617398944237e-10[/C][C]3.17308699472119e-10[/C][/ROW]
[ROW][C]201[/C][C]0.999999999560298[/C][C]8.79404130211306e-10[/C][C]4.39702065105653e-10[/C][/ROW]
[ROW][C]202[/C][C]0.999999999248244[/C][C]1.50351263623537e-09[/C][C]7.51756318117685e-10[/C][/ROW]
[ROW][C]203[/C][C]0.999999998645081[/C][C]2.70983736396819e-09[/C][C]1.3549186819841e-09[/C][/ROW]
[ROW][C]204[/C][C]0.999999997465659[/C][C]5.06868233997674e-09[/C][C]2.53434116998837e-09[/C][/ROW]
[ROW][C]205[/C][C]0.999999996172943[/C][C]7.65411420020119e-09[/C][C]3.82705710010059e-09[/C][/ROW]
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[ROW][C]207[/C][C]0.999999991093358[/C][C]1.78132843972678e-08[/C][C]8.9066421986339e-09[/C][/ROW]
[ROW][C]208[/C][C]0.999999984639252[/C][C]3.07214956139023e-08[/C][C]1.53607478069511e-08[/C][/ROW]
[ROW][C]209[/C][C]0.999999974345782[/C][C]5.13084361494038e-08[/C][C]2.56542180747019e-08[/C][/ROW]
[ROW][C]210[/C][C]0.999999956478932[/C][C]8.70421352635156e-08[/C][C]4.35210676317578e-08[/C][/ROW]
[ROW][C]211[/C][C]0.999999979955513[/C][C]4.0088973604178e-08[/C][C]2.0044486802089e-08[/C][/ROW]
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[ROW][C]213[/C][C]0.999999942878028[/C][C]1.14243943183366e-07[/C][C]5.71219715916832e-08[/C][/ROW]
[ROW][C]214[/C][C]0.999999898509338[/C][C]2.02981323197607e-07[/C][C]1.01490661598804e-07[/C][/ROW]
[ROW][C]215[/C][C]0.999999996301532[/C][C]7.396936862706e-09[/C][C]3.698468431353e-09[/C][/ROW]
[ROW][C]216[/C][C]0.999999994531489[/C][C]1.09370215951375e-08[/C][C]5.46851079756874e-09[/C][/ROW]
[ROW][C]217[/C][C]0.999999991412091[/C][C]1.71758187942484e-08[/C][C]8.5879093971242e-09[/C][/ROW]
[ROW][C]218[/C][C]0.999999999999294[/C][C]1.41227466432649e-12[/C][C]7.06137332163244e-13[/C][/ROW]
[ROW][C]219[/C][C]0.999999999999835[/C][C]3.30550156651027e-13[/C][C]1.65275078325514e-13[/C][/ROW]
[ROW][C]220[/C][C]0.999999999999614[/C][C]7.72632881651869e-13[/C][C]3.86316440825935e-13[/C][/ROW]
[ROW][C]221[/C][C]0.99999999999933[/C][C]1.34041224800787e-12[/C][C]6.70206124003934e-13[/C][/ROW]
[ROW][C]222[/C][C]0.999999999999998[/C][C]3.67069326634535e-15[/C][C]1.83534663317267e-15[/C][/ROW]
[ROW][C]223[/C][C]0.999999999999995[/C][C]9.97878639283193e-15[/C][C]4.98939319641596e-15[/C][/ROW]
[ROW][C]224[/C][C]0.999999999999987[/C][C]2.56527136854682e-14[/C][C]1.28263568427341e-14[/C][/ROW]
[ROW][C]225[/C][C]0.999999999999968[/C][C]6.41555220149383e-14[/C][C]3.20777610074691e-14[/C][/ROW]
[ROW][C]226[/C][C]0.999999999999985[/C][C]3.06070990702537e-14[/C][C]1.53035495351269e-14[/C][/ROW]
[ROW][C]227[/C][C]0.999999999999958[/C][C]8.319743889321e-14[/C][C]4.1598719446605e-14[/C][/ROW]
[ROW][C]228[/C][C]0.999999999999894[/C][C]2.11959051480504e-13[/C][C]1.05979525740252e-13[/C][/ROW]
[ROW][C]229[/C][C]0.999999999999723[/C][C]5.53379516056192e-13[/C][C]2.76689758028096e-13[/C][/ROW]
[ROW][C]230[/C][C]0.999999999999641[/C][C]7.17748913360601e-13[/C][C]3.58874456680301e-13[/C][/ROW]
[ROW][C]231[/C][C]0.999999999999228[/C][C]1.54446016513913e-12[/C][C]7.72230082569566e-13[/C][/ROW]
[ROW][C]232[/C][C]0.999999999998446[/C][C]3.10863554901841e-12[/C][C]1.5543177745092e-12[/C][/ROW]
[ROW][C]233[/C][C]0.999999999998426[/C][C]3.1476924947158e-12[/C][C]1.5738462473579e-12[/C][/ROW]
[ROW][C]234[/C][C]0.999999999995937[/C][C]8.12588277977423e-12[/C][C]4.06294138988711e-12[/C][/ROW]
[ROW][C]235[/C][C]0.999999999990613[/C][C]1.87735045518124e-11[/C][C]9.38675227590621e-12[/C][/ROW]
[ROW][C]236[/C][C]0.999999999978021[/C][C]4.39587938917907e-11[/C][C]2.19793969458954e-11[/C][/ROW]
[ROW][C]237[/C][C]0.999999999948407[/C][C]1.03186099889188e-10[/C][C]5.1593049944594e-11[/C][/ROW]
[ROW][C]238[/C][C]0.999999999884223[/C][C]2.31554141224283e-10[/C][C]1.15777070612141e-10[/C][/ROW]
[ROW][C]239[/C][C]0.999999999724382[/C][C]5.51235928867382e-10[/C][C]2.75617964433691e-10[/C][/ROW]
[ROW][C]240[/C][C]0.999999999395725[/C][C]1.2085494621262e-09[/C][C]6.04274731063099e-10[/C][/ROW]
[ROW][C]241[/C][C]0.999999998681175[/C][C]2.63765045963101e-09[/C][C]1.31882522981551e-09[/C][/ROW]
[ROW][C]242[/C][C]0.999999998711879[/C][C]2.57624159164325e-09[/C][C]1.28812079582163e-09[/C][/ROW]
[ROW][C]243[/C][C]0.999999997128815[/C][C]5.74237074763454e-09[/C][C]2.87118537381727e-09[/C][/ROW]
[ROW][C]244[/C][C]0.999999996856012[/C][C]6.2879762971047e-09[/C][C]3.14398814855235e-09[/C][/ROW]
[ROW][C]245[/C][C]0.999999992351143[/C][C]1.52977142534305e-08[/C][C]7.64885712671525e-09[/C][/ROW]
[ROW][C]246[/C][C]0.999999981331536[/C][C]3.73369277809326e-08[/C][C]1.86684638904663e-08[/C][/ROW]
[ROW][C]247[/C][C]0.999999978100587[/C][C]4.37988263544647e-08[/C][C]2.18994131772324e-08[/C][/ROW]
[ROW][C]248[/C][C]0.999999947952986[/C][C]1.04094027961557e-07[/C][C]5.20470139807783e-08[/C][/ROW]
[ROW][C]249[/C][C]0.999999881614262[/C][C]2.36771476373094e-07[/C][C]1.18385738186547e-07[/C][/ROW]
[ROW][C]250[/C][C]0.999999766706304[/C][C]4.66587392012819e-07[/C][C]2.33293696006409e-07[/C][/ROW]
[ROW][C]251[/C][C]0.999999538377666[/C][C]9.23244668597648e-07[/C][C]4.61622334298824e-07[/C][/ROW]
[ROW][C]252[/C][C]0.999998954671302[/C][C]2.09065739513373e-06[/C][C]1.04532869756686e-06[/C][/ROW]
[ROW][C]253[/C][C]0.99999762410242[/C][C]4.75179515924042e-06[/C][C]2.37589757962021e-06[/C][/ROW]
[ROW][C]254[/C][C]0.999994958974767[/C][C]1.00820504659896e-05[/C][C]5.04102523299478e-06[/C][/ROW]
[ROW][C]255[/C][C]0.999993305031519[/C][C]1.3389936962002e-05[/C][C]6.69496848100102e-06[/C][/ROW]
[ROW][C]256[/C][C]0.999986440197701[/C][C]2.71196045987756e-05[/C][C]1.35598022993878e-05[/C][/ROW]
[ROW][C]257[/C][C]0.999974371435462[/C][C]5.12571290751246e-05[/C][C]2.56285645375623e-05[/C][/ROW]
[ROW][C]258[/C][C]0.999945598882563[/C][C]0.000108802234874614[/C][C]5.4401117437307e-05[/C][/ROW]
[ROW][C]259[/C][C]0.999923167260016[/C][C]0.000153665479968795[/C][C]7.68327399843975e-05[/C][/ROW]
[ROW][C]260[/C][C]0.999841083898897[/C][C]0.000317832202205997[/C][C]0.000158916101102999[/C][/ROW]
[ROW][C]261[/C][C]0.999683732181207[/C][C]0.000632535637586143[/C][C]0.000316267818793072[/C][/ROW]
[ROW][C]262[/C][C]0.999427770011416[/C][C]0.00114445997716739[/C][C]0.000572229988583696[/C][/ROW]
[ROW][C]263[/C][C]0.998960362976015[/C][C]0.00207927404797052[/C][C]0.00103963702398526[/C][/ROW]
[ROW][C]264[/C][C]0.998326107822163[/C][C]0.00334778435567359[/C][C]0.0016738921778368[/C][/ROW]
[ROW][C]265[/C][C]0.997022595778079[/C][C]0.00595480844384309[/C][C]0.00297740422192155[/C][/ROW]
[ROW][C]266[/C][C]0.99601241137848[/C][C]0.00797517724303915[/C][C]0.00398758862151958[/C][/ROW]
[ROW][C]267[/C][C]0.994108727923279[/C][C]0.011782544153442[/C][C]0.00589127207672101[/C][/ROW]
[ROW][C]268[/C][C]0.989611999959048[/C][C]0.0207760000819049[/C][C]0.0103880000409525[/C][/ROW]
[ROW][C]269[/C][C]0.98474321857215[/C][C]0.0305135628557009[/C][C]0.0152567814278505[/C][/ROW]
[ROW][C]270[/C][C]0.980423347989272[/C][C]0.0391533040214553[/C][C]0.0195766520107276[/C][/ROW]
[ROW][C]271[/C][C]0.973054359812371[/C][C]0.0538912803752578[/C][C]0.0269456401876289[/C][/ROW]
[ROW][C]272[/C][C]0.952481152297107[/C][C]0.0950376954057862[/C][C]0.0475188477028931[/C][/ROW]
[ROW][C]273[/C][C]0.922548533237837[/C][C]0.154902933524325[/C][C]0.0774514667621625[/C][/ROW]
[ROW][C]274[/C][C]0.877190266462814[/C][C]0.245619467074371[/C][C]0.122809733537186[/C][/ROW]
[ROW][C]275[/C][C]0.828857242841351[/C][C]0.342285514317298[/C][C]0.171142757158649[/C][/ROW]
[ROW][C]276[/C][C]0.983738608339149[/C][C]0.0325227833217019[/C][C]0.016261391660851[/C][/ROW]
[ROW][C]277[/C][C]0.999161916382991[/C][C]0.00167616723401757[/C][C]0.000838083617008786[/C][/ROW]
[ROW][C]278[/C][C]0.99559609296009[/C][C]0.00880781407981988[/C][C]0.00440390703990994[/C][/ROW]
[ROW][C]279[/C][C]0.978762636076803[/C][C]0.042474727846393[/C][C]0.0212373639231965[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197424&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197424&T=5

As an alternative you can also use a QR Code:  

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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.3174818737666430.6349637475332860.682518126233357
110.4642394150143550.928478830028710.535760584985645
120.8850967392151720.2298065215696560.114903260784828
130.8895601172419810.2208797655160370.110439882758019
140.8444818258424640.3110363483150720.155518174157536
150.7924621911060480.4150756177879030.207537808893952
160.7627073558891020.4745852882217970.237292644110898
170.9625009420878950.07499811582421060.0374990579121053
180.9479151014780990.1041697970438030.0520848985219014
190.923276838342510.1534463233149790.0767231616574896
200.9095827108199880.1808345783600240.0904172891800118
210.9248479157337450.1503041685325090.0751520842662545
220.9239473153186190.1521053693627630.0760526846813814
230.8962905204493680.2074189591012630.103709479550632
240.8922272975666240.2155454048667530.107772702433376
250.8684120154092310.2631759691815380.131587984590769
260.835263436920990.329473126158020.16473656307901
270.8662944857857090.2674110284285810.133705514214291
280.8721058294247940.2557883411504130.127894170575206
290.8767728592746630.2464542814506730.123227140725337
300.8959755657110150.2080488685779710.104024434288985
310.8702905265032760.2594189469934480.129709473496724
320.8481469131024820.3037061737950360.151853086897518
330.8525678935240990.2948642129518020.147432106475901
340.8838696191180640.2322607617638720.116130380881936
350.862122934860930.2757541302781390.13787706513907
360.8313435278679330.3373129442641330.168656472132067
370.7974283084457680.4051433831084640.202571691554232
380.8144563845548130.3710872308903740.185543615445187
390.8242367684136880.3515264631726230.175763231586312
400.7896514675290520.4206970649418960.210348532470948
410.7517846432741420.4964307134517160.248215356725858
420.7098829338873750.5802341322252490.290117066112625
430.6807591187778050.6384817624443910.319240881222195
440.6412821681245850.7174356637508310.358717831875415
450.8337282286545040.3325435426909930.166271771345496
460.8170804028529440.3658391942941120.182919597147056
470.7956383634742170.4087232730515660.204361636525783
480.7987428860605980.4025142278788040.201257113939402
490.7676554425455240.4646891149089520.232344557454476
500.8847690708018450.2304618583963110.115230929198155
510.9470374697288570.1059250605422860.0529625302711428
520.9381974923355490.1236050153289020.061802507664451
530.9469201102115370.1061597795769260.0530798897884628
540.9742630325285280.05147393494294410.025736967471472
550.9672235792009350.06555284159813080.0327764207990654
560.9645318435952460.07093631280950710.0354681564047536
570.9552913497973190.08941730040536150.0447086502026807
580.969009476950110.06198104609978040.0309905230498902
590.9717700616853370.05645987662932610.028229938314663
600.9686388946005910.06272221079881850.0313611053994092
610.9634365205083980.07312695898320320.0365634794916016
620.9557721977991810.08845560440163870.0442278022008193
630.9568247660425890.08635046791482160.0431752339574108
640.9468881549435580.1062236901128830.0531118450564416
650.9526418132588560.09471637348228760.0473581867411438
660.9499444049763280.1001111900473440.0500555950236722
670.9981811795014370.003637640997125480.00181882049856274
680.998907960860680.002184078278639480.00109203913931974
690.9998445172579850.0003109654840301440.000155482742015072
700.9998826434710110.0002347130579772290.000117356528988615
710.999927917692520.0001441646149602897.20823074801447e-05
720.9999060175157770.0001879649684456739.39824842228365e-05
730.9998880187363710.0002239625272571510.000111981263628575
740.9998816193374520.0002367613250959490.000118380662547975
750.9999204528039710.0001590943920586927.95471960293462e-05
760.9998855854054220.0002288291891564490.000114414594578224
770.9999432726852780.0001134546294430075.67273147215037e-05
780.9999973888120615.22237587763286e-062.61118793881643e-06
790.9999982047585493.59048290120363e-061.79524145060181e-06
800.999998371140853.25771830026916e-061.62885915013458e-06
810.9999975778835854.84423283095332e-062.42211641547666e-06
820.9999975839457254.83210855054867e-062.41605427527433e-06
830.999997456541155.08691769947224e-062.54345884973612e-06
840.9999963391611537.32167769486754e-063.66083884743377e-06
850.9999968764104136.24717917340088e-063.12358958670044e-06
860.9999953789308659.24213826917717e-064.62106913458859e-06
870.9999964716920627.05661587575163e-063.52830793787582e-06
880.9999951991253849.60174923138353e-064.80087461569176e-06
890.9999966728549646.65429007193924e-063.32714503596962e-06
900.9999965499635316.90007293736703e-063.45003646868352e-06
910.9999950762352429.84752951647755e-064.92376475823877e-06
920.9999926127052751.47745894507895e-057.38729472539473e-06
930.9999926485519391.47028961227452e-057.3514480613726e-06
940.9999941755264071.16489471863158e-055.82447359315792e-06
950.9999925788089971.48423820067291e-057.42119100336457e-06
960.9999914058585951.71882828090498e-058.59414140452491e-06
970.9999966781965136.64360697298604e-063.32180348649302e-06
980.9999966058609996.78827800117926e-063.39413900058963e-06
990.9999964679852457.06402950922341e-063.5320147546117e-06
1000.9999948577818581.02844362841395e-055.14221814206977e-06
1010.9999962839258997.43214820248312e-063.71607410124156e-06
1020.9999958223858948.35522821134879e-064.1776141056744e-06
1030.9999946505129831.06989740343588e-055.3494870171794e-06
1040.9999922871530981.54256938038622e-057.71284690193109e-06
1050.999990271335271.94573294594781e-059.72866472973904e-06
1060.9999869163226822.61673546353494e-051.30836773176747e-05
1070.9999954549911359.0900177310171e-064.54500886550855e-06
1080.9999950415391359.91692173039091e-064.95846086519545e-06
1090.999999859766482.80467039645163e-071.40233519822581e-07
1100.9999999313178851.37364230232303e-076.86821151161517e-08
1110.999999913692351.72615299953599e-078.63076499767997e-08
1120.9999999389677131.22064574673816e-076.10322873369081e-08
1130.9999999404682981.19063404000797e-075.95317020003984e-08
1140.9999999448375281.10324943908319e-075.51624719541594e-08
1150.9999999414557721.1708845592604e-075.85442279630199e-08
1160.9999999284268831.4314623306499e-077.15731165324952e-08
1170.9999998993358282.013283446764e-071.006641723382e-07
1180.9999998507426352.98514731024876e-071.49257365512438e-07
1190.9999998307173483.38565304207799e-071.692826521039e-07
1200.999999744280265.11439479537252e-072.55719739768626e-07
1210.9999996780422256.43915550813075e-073.21957775406537e-07
1220.9999995702259328.59548135994614e-074.29774067997307e-07
1230.9999995344191219.31161758868527e-074.65580879434263e-07
1240.9999994421775291.11564494227203e-065.57822471136017e-07
1250.9999994162895141.16742097288423e-065.83710486442114e-07
1260.9999996462104157.07579168964199e-073.53789584482099e-07
1270.9999996023920157.95215969750868e-073.97607984875434e-07
1280.9999994819738151.03605237085463e-065.18026185427316e-07
1290.9999994538788451.09224230945581e-065.46121154727905e-07
1300.9999991664317181.66713656397504e-068.33568281987519e-07
1310.9999995866399628.26720075415645e-074.13360037707822e-07
1320.9999995295326939.40934613594623e-074.70467306797312e-07
1330.9999997542002344.9159953229998e-072.4579976614999e-07
1340.9999998593186792.81362641312694e-071.40681320656347e-07
1350.9999998751314572.4973708574993e-071.24868542874965e-07
1360.9999998200213663.59957268116554e-071.79978634058277e-07
1370.9999997252016685.49596663406951e-072.74798331703476e-07
1380.9999998458311243.08337752655302e-071.54168876327651e-07
1390.9999997891824374.21635126233915e-072.10817563116958e-07
1400.9999996770139166.45972167235516e-073.22986083617758e-07
1410.9999995719322538.561354946044e-074.280677473022e-07
1420.9999994999421441.00011571169747e-065.00057855848735e-07
1430.9999993823230261.23535394769227e-066.17676973846134e-07
1440.9999991369281661.72614366880174e-068.63071834400868e-07
1450.9999996222817067.55436587881497e-073.77718293940749e-07
1460.9999995542229818.91554037292215e-074.45777018646108e-07
1470.9999999296521761.40695648950752e-077.03478244753758e-08
1480.9999998929237272.14152545182589e-071.07076272591294e-07
1490.9999998310694373.37861126387882e-071.68930563193941e-07
1500.9999997562593194.87481362072203e-072.43740681036102e-07
1510.9999997987185234.02562954919006e-072.01281477459503e-07
1520.9999998499372183.00125564616267e-071.50062782308134e-07
1530.999999769712294.6057542085042e-072.3028771042521e-07
1540.9999996517594716.96481058109291e-073.48240529054645e-07
1550.9999995444026659.11194670926903e-074.55597335463451e-07
1560.9999993092445441.38151091237071e-066.90755456185354e-07
1570.9999991235337011.75293259824588e-068.7646629912294e-07
1580.999998674227662.65154467961372e-061.32577233980686e-06
1590.9999986609795352.67804093079784e-061.33902046539892e-06
1600.9999983008529463.39829410754195e-061.69914705377098e-06
1610.9999974655770955.06884580923873e-062.53442290461936e-06
1620.9999999970468495.90630268052425e-092.95315134026212e-09
1630.999999996172247.65552072415168e-093.82776036207584e-09
1640.9999999987823022.4353956866972e-091.2176978433486e-09
1650.9999999983040853.39182920313675e-091.69591460156837e-09
1660.99999999766234.67540104544077e-092.33770052272039e-09
1670.9999999966917466.61650722756961e-093.3082536137848e-09
1680.9999999963820937.23581367113402e-093.61790683556701e-09
1690.9999999942604671.14790663031989e-085.73953315159945e-09
1700.9999999923899311.52201375242675e-087.61006876213373e-09
1710.9999999992567151.48656939143153e-097.43284695715765e-10
1720.9999999987688212.46235719306384e-091.23117859653192e-09
1730.9999999980818473.83630621025984e-091.91815310512992e-09
1740.9999999999996057.90995822190919e-133.95497911095459e-13
1750.9999999999999261.48035715529184e-137.40178577645919e-14
1760.9999999999998922.16175441021988e-131.08087720510994e-13
1770.9999999999998283.43964299828559e-131.7198214991428e-13
1780.999999999999715.79168392907514e-132.89584196453757e-13
1790.9999999999996856.29035479287161e-133.14517739643581e-13
1800.9999999999995738.5433359234557e-134.27166796172785e-13
1810.9999999999997285.44166164136909e-132.72083082068455e-13
1820.9999999999996586.84239268439068e-133.42119634219534e-13
1830.9999999999993051.38990917416099e-126.94954587080493e-13
1840.9999999999990231.95418939395945e-129.77094696979726e-13
1850.9999999999986742.65269768446161e-121.32634884223081e-12
1860.9999999999973395.32198261008695e-122.66099130504347e-12
1870.9999999999947431.05137288017144e-115.25686440085719e-12
1880.9999999999896192.0762768116495e-111.03813840582475e-11
1890.9999999999805473.89050599368655e-111.94525299684328e-11
1900.9999999999696156.07697524552969e-113.03848762276484e-11
1910.9999999999709345.81325921051477e-112.90662960525739e-11
1920.999999999951999.6020315772385e-114.80101578861925e-11
1930.9999999999355621.28876512431889e-106.44382562159445e-11
1940.9999999999773694.52614738198414e-112.26307369099207e-11
1950.9999999999589998.20009694353819e-114.1000484717691e-11
1960.9999999999468631.06275089137454e-105.3137544568727e-11
1970.9999999999250781.49842974980957e-107.49214874904784e-11
1980.9999999999006811.98638484264342e-109.93192421321709e-11
1990.9999999998206233.58754733215595e-101.79377366607798e-10
2000.9999999996826916.34617398944237e-103.17308699472119e-10
2010.9999999995602988.79404130211306e-104.39702065105653e-10
2020.9999999992482441.50351263623537e-097.51756318117685e-10
2030.9999999986450812.70983736396819e-091.3549186819841e-09
2040.9999999974656595.06868233997674e-092.53434116998837e-09
2050.9999999961729437.65411420020119e-093.82705710010059e-09
2060.9999999941362671.17274652857109e-085.86373264285543e-09
2070.9999999910933581.78132843972678e-088.9066421986339e-09
2080.9999999846392523.07214956139023e-081.53607478069511e-08
2090.9999999743457825.13084361494038e-082.56542180747019e-08
2100.9999999564789328.70421352635156e-084.35210676317578e-08
2110.9999999799555134.0088973604178e-082.0044486802089e-08
2120.9999999669264066.61471885454649e-083.30735942727325e-08
2130.9999999428780281.14243943183366e-075.71219715916832e-08
2140.9999998985093382.02981323197607e-071.01490661598804e-07
2150.9999999963015327.396936862706e-093.698468431353e-09
2160.9999999945314891.09370215951375e-085.46851079756874e-09
2170.9999999914120911.71758187942484e-088.5879093971242e-09
2180.9999999999992941.41227466432649e-127.06137332163244e-13
2190.9999999999998353.30550156651027e-131.65275078325514e-13
2200.9999999999996147.72632881651869e-133.86316440825935e-13
2210.999999999999331.34041224800787e-126.70206124003934e-13
2220.9999999999999983.67069326634535e-151.83534663317267e-15
2230.9999999999999959.97878639283193e-154.98939319641596e-15
2240.9999999999999872.56527136854682e-141.28263568427341e-14
2250.9999999999999686.41555220149383e-143.20777610074691e-14
2260.9999999999999853.06070990702537e-141.53035495351269e-14
2270.9999999999999588.319743889321e-144.1598719446605e-14
2280.9999999999998942.11959051480504e-131.05979525740252e-13
2290.9999999999997235.53379516056192e-132.76689758028096e-13
2300.9999999999996417.17748913360601e-133.58874456680301e-13
2310.9999999999992281.54446016513913e-127.72230082569566e-13
2320.9999999999984463.10863554901841e-121.5543177745092e-12
2330.9999999999984263.1476924947158e-121.5738462473579e-12
2340.9999999999959378.12588277977423e-124.06294138988711e-12
2350.9999999999906131.87735045518124e-119.38675227590621e-12
2360.9999999999780214.39587938917907e-112.19793969458954e-11
2370.9999999999484071.03186099889188e-105.1593049944594e-11
2380.9999999998842232.31554141224283e-101.15777070612141e-10
2390.9999999997243825.51235928867382e-102.75617964433691e-10
2400.9999999993957251.2085494621262e-096.04274731063099e-10
2410.9999999986811752.63765045963101e-091.31882522981551e-09
2420.9999999987118792.57624159164325e-091.28812079582163e-09
2430.9999999971288155.74237074763454e-092.87118537381727e-09
2440.9999999968560126.2879762971047e-093.14398814855235e-09
2450.9999999923511431.52977142534305e-087.64885712671525e-09
2460.9999999813315363.73369277809326e-081.86684638904663e-08
2470.9999999781005874.37988263544647e-082.18994131772324e-08
2480.9999999479529861.04094027961557e-075.20470139807783e-08
2490.9999998816142622.36771476373094e-071.18385738186547e-07
2500.9999997667063044.66587392012819e-072.33293696006409e-07
2510.9999995383776669.23244668597648e-074.61622334298824e-07
2520.9999989546713022.09065739513373e-061.04532869756686e-06
2530.999997624102424.75179515924042e-062.37589757962021e-06
2540.9999949589747671.00820504659896e-055.04102523299478e-06
2550.9999933050315191.3389936962002e-056.69496848100102e-06
2560.9999864401977012.71196045987756e-051.35598022993878e-05
2570.9999743714354625.12571290751246e-052.56285645375623e-05
2580.9999455988825630.0001088022348746145.4401117437307e-05
2590.9999231672600160.0001536654799687957.68327399843975e-05
2600.9998410838988970.0003178322022059970.000158916101102999
2610.9996837321812070.0006325356375861430.000316267818793072
2620.9994277700114160.001144459977167390.000572229988583696
2630.9989603629760150.002079274047970520.00103963702398526
2640.9983261078221630.003347784355673590.0016738921778368
2650.9970225957780790.005954808443843090.00297740422192155
2660.996012411378480.007975177243039150.00398758862151958
2670.9941087279232790.0117825441534420.00589127207672101
2680.9896119999590480.02077600008190490.0103880000409525
2690.984743218572150.03051356285570090.0152567814278505
2700.9804233479892720.03915330402145530.0195766520107276
2710.9730543598123710.05389128037525780.0269456401876289
2720.9524811522971070.09503769540578620.0475188477028931
2730.9225485332378370.1549029335243250.0774514667621625
2740.8771902664628140.2456194670743710.122809733537186
2750.8288572428413510.3422855143172980.171142757158649
2760.9837386083391490.03252278332170190.016261391660851
2770.9991619163829910.001676167234017570.000838083617008786
2780.995596092960090.008807814079819880.00440390703990994
2790.9787626360768030.0424747278463930.0212373639231965







Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2020.748148148148148NOK
5% type I error level2080.77037037037037NOK
10% type I error level2220.822222222222222NOK

\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 & 202 & 0.748148148148148 & NOK \tabularnewline
5% type I error level & 208 & 0.77037037037037 & NOK \tabularnewline
10% type I error level & 222 & 0.822222222222222 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197424&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]202[/C][C]0.748148148148148[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]208[/C][C]0.77037037037037[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]222[/C][C]0.822222222222222[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197424&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197424&T=6

As an alternative you can also use a QR Code:  

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2020.748148148148148NOK
5% type I error level2080.77037037037037NOK
10% type I error level2220.822222222222222NOK



Parameters (Session):
par1 = 5 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 5 ; 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')
}