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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationMon, 05 Nov 2012 11:08:18 -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/Nov/05/t1352131764pwu5qr1un750vba.htm/, Retrieved Sun, 29 Jun 2025 14:22:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=186139, Retrieved Sun, 29 Jun 2025 14:22:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact261

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [] [2012-11-05 16:08:18] [1243027a8c443f5e4dc521447a752890] [Current]
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Dataset

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

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing 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=186139&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=186139&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=186139&T=0

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


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

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






Multiple Linear Regression - Estimated Regression Equation
time[t] = -12696.811134657 + 14.2274210736823pageview[t] + 275.799144009378login[t] + 129.55546750289compendiuminfo[t] -85.7651792297926compendiumpr[t] -547.184062276974shared[t] + 457.534997658125blogged[t] + 1464.45057348507reviewed[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
time[t] =  -12696.811134657 +  14.2274210736823pageview[t] +  275.799144009378login[t] +  129.55546750289compendiuminfo[t] -85.7651792297926compendiumpr[t] -547.184062276974shared[t] +  457.534997658125blogged[t] +  1464.45057348507reviewed[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=186139&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]time[t] =  -12696.811134657 +  14.2274210736823pageview[t] +  275.799144009378login[t] +  129.55546750289compendiuminfo[t] -85.7651792297926compendiumpr[t] -547.184062276974shared[t] +  457.534997658125blogged[t] +  1464.45057348507reviewed[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=186139&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=186139&T=1

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


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

Multiple Linear Regression - Estimated Regression Equation
time[t] = -12696.811134657 + 14.2274210736823pageview[t] + 275.799144009378login[t] + 129.55546750289compendiuminfo[t] -85.7651792297926compendiumpr[t] -547.184062276974shared[t] + 457.534997658125blogged[t] + 1464.45057348507reviewed[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-12696.8111346574476.166613-2.83650.0048920.002446
pageview14.227421073682310.5014191.35480.1765670.088283
login275.79914400937878.594373.50910.0005230.000262
compendiuminfo129.5554675028922.2276825.828600
compendiumpr-85.765179229792642.253933-2.02980.0433230.021662
shared-547.184062276974680.535874-0.8040.4220480.211024
blogged457.53499765812589.5333615.11021e-060
reviewed1464.45057348507264.2005275.54300

\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) & -12696.811134657 & 4476.166613 & -2.8365 & 0.004892 & 0.002446 \tabularnewline
pageview & 14.2274210736823 & 10.501419 & 1.3548 & 0.176567 & 0.088283 \tabularnewline
login & 275.799144009378 & 78.59437 & 3.5091 & 0.000523 & 0.000262 \tabularnewline
compendiuminfo & 129.55546750289 & 22.227682 & 5.8286 & 0 & 0 \tabularnewline
compendiumpr & -85.7651792297926 & 42.253933 & -2.0298 & 0.043323 & 0.021662 \tabularnewline
shared & -547.184062276974 & 680.535874 & -0.804 & 0.422048 & 0.211024 \tabularnewline
blogged & 457.534997658125 & 89.533361 & 5.1102 & 1e-06 & 0 \tabularnewline
reviewed & 1464.45057348507 & 264.200527 & 5.543 & 0 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=186139&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]-12696.811134657[/C][C]4476.166613[/C][C]-2.8365[/C][C]0.004892[/C][C]0.002446[/C][/ROW]
[ROW][C]pageview[/C][C]14.2274210736823[/C][C]10.501419[/C][C]1.3548[/C][C]0.176567[/C][C]0.088283[/C][/ROW]
[ROW][C]login[/C][C]275.799144009378[/C][C]78.59437[/C][C]3.5091[/C][C]0.000523[/C][C]0.000262[/C][/ROW]
[ROW][C]compendiuminfo[/C][C]129.55546750289[/C][C]22.227682[/C][C]5.8286[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]compendiumpr[/C][C]-85.7651792297926[/C][C]42.253933[/C][C]-2.0298[/C][C]0.043323[/C][C]0.021662[/C][/ROW]
[ROW][C]shared[/C][C]-547.184062276974[/C][C]680.535874[/C][C]-0.804[/C][C]0.422048[/C][C]0.211024[/C][/ROW]
[ROW][C]blogged[/C][C]457.534997658125[/C][C]89.533361[/C][C]5.1102[/C][C]1e-06[/C][C]0[/C][/ROW]
[ROW][C]reviewed[/C][C]1464.45057348507[/C][C]264.200527[/C][C]5.543[/C][C]0[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=186139&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=186139&T=2

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


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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-12696.8111346574476.166613-2.83650.0048920.002446
pageview14.227421073682310.5014191.35480.1765670.088283
login275.79914400937878.594373.50910.0005230.000262
compendiuminfo129.5554675028922.2276825.828600
compendiumpr-85.765179229792642.253933-2.02980.0433230.021662
shared-547.184062276974680.535874-0.8040.4220480.211024
blogged457.53499765812589.5333615.11021e-060
reviewed1464.45057348507264.2005275.54300






Multiple Linear Regression - Regression Statistics
Multiple R0.94029497630342
R-squared0.884154642461449
Adjusted R-squared0.881268815049457
F-TEST (value)306.378211942698
F-TEST (DF numerator)7
F-TEST (DF denominator)281
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation28372.0116219539
Sum Squared Residuals226196863216.836

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.94029497630342 \tabularnewline
R-squared & 0.884154642461449 \tabularnewline
Adjusted R-squared & 0.881268815049457 \tabularnewline
F-TEST (value) & 306.378211942698 \tabularnewline
F-TEST (DF numerator) & 7 \tabularnewline
F-TEST (DF denominator) & 281 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 28372.0116219539 \tabularnewline
Sum Squared Residuals & 226196863216.836 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=186139&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.94029497630342[/C][/ROW]
[ROW][C]R-squared[/C][C]0.884154642461449[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.881268815049457[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]306.378211942698[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]7[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]281[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]28372.0116219539[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]226196863216.836[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=186139&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=186139&T=3

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


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

Multiple Linear Regression - Regression Statistics
Multiple R0.94029497630342
R-squared0.884154642461449
Adjusted R-squared0.881268815049457
F-TEST (value)306.378211942698
F-TEST (DF numerator)7
F-TEST (DF denominator)281
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation28372.0116219539
Sum Squared Residuals226196863216.836






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1210907145716.63945859465190.3605414061
2120982114225.3685062636756.63149373703
3176508168632.5571618067875.44283819442
4179321249563.689752862-70242.6897528617
512318596793.373509337126391.6264906629
65274652572.7463678841173.253632115881
7385534347154.1179728638379.88202714
83317034711.4700679414-1541.47006794138
910164587415.019790611814229.9802093882
10149061156302.043112651-7241.04311265051
11165446146373.22739609719072.7726039028
12237213205416.54729726131796.452702739
13173326188837.85324591-15511.8532459102
14133131145797.990704663-12666.9907046633
15258873246595.87087090212277.1291290984
16180083161711.90587794718371.0941220525
17324799405167.984162652-80368.9841626518
18230964190205.91797100340758.0820289975
19236785235360.3985116711424.60148832947
20135473131685.1642534443787.83574655553
21202925202093.682238821831.317761179074
22215147205171.3933777679975.60662223251
23344297237261.245459688107035.754540312
24153935117274.33426547536660.6657345252
25132943156762.471839993-23819.4718399931
26174724268099.080736728-93375.0807367282
27174415222598.122096895-48183.1220968949
28225548239994.467131619-14446.4671316192
29223632189111.25128486334520.7487151371
30124817130824.318777561-6007.31877756099
31221698200657.20006189521040.799938105
32210767200292.35392587710474.6460741225
33170266169368.878433763897.121566237473
34260561224054.40946147436506.5905385262
358485397837.994508728-12984.994508728
36294424263072.98316491631351.0168350841
3710101168556.628134060432454.3718659396
38215641206997.1246084758643.87539152457
39325107259538.3610486665568.6389513401
4071763621.192179179843554.80782082016
41167542154362.12580367713179.8741963235
4210640873877.597118989732530.4028810103
4396560131988.511479366-35428.511479366
44265769270138.573689732-4369.57368973232
45269651293572.011241964-23921.011241964
46149112159176.221397709-10064.2213977095
47175824219343.296601693-43519.2966016926
48152871150816.2086193492054.79138065121
49111665110179.5505347621485.44946523759
50116408218526.63725378-102118.63725378
51362301315385.71440176246915.2855982383
527880095944.2612584531-17144.2612584531
53183167196807.491078625-13640.4910786247
54277965308716.260282141-30751.2602821407
55150629200625.44131382-49996.4413138202
56168809157556.82532946911252.1746705306
572418837025.0397803539-12837.0397803539
58329267272561.96097236556705.0390276354
596502967044.9760039003-2015.97600390032
60101097106873.795420419-5776.79542041871
61218946211357.7253096027588.27469039826
62244052213176.39764287730875.6023571232
63341570322610.23755636318959.7624436375
6410359793661.93469636359935.06530363654
65233328235131.269894794-1803.26989479406
66256462250447.7885790676014.21142093253
67206161181470.36712536924690.6328746308
68311473306765.9837902124707.01620978753
69235800234201.4213925371598.57860746349
70177939218831.222036112-40892.2220361121
71207176191371.27602995915804.7239700413
72196553141478.33291317255074.6670868278
73174184136266.61480385137917.3851961488
74143246160965.412034034-17719.4120340337
75187559221987.893256377-34428.8932563768
76187681206197.841856636-18516.8418566363
77119016160187.053902536-41171.0539025358
78182192197103.02016197-14911.0201619698
797356695832.8902560656-22266.8902560656
80194979184881.74186233110097.2581376693
81167488164746.3004671752741.69953282527
82143756175264.972490153-31508.9724901532
83275541229897.0071420945643.99285791
84243199208302.41857464834896.5814253519
85182999165215.37898099317783.6210190065
86135649163111.094704336-27462.094704336
87152299162985.599959855-10686.5999598549
88120221137811.375225256-17590.3752252564
89346485284483.16243564762001.8375643532
90145790151320.823113404-5530.82311340389
91193339184332.6330214889006.36697851227
928095394667.8620154491-13714.8620154491
93122774147593.936868401-24819.9368684005
94130585119222.11203147811362.8879685221
9511261191319.878166187121291.1218338129
96286468265746.02704426120721.972955739
97241066224515.70063839316550.2993616069
98148446275887.356084021-127441.356084021
99204713192045.8602483512667.1397516504
100182079192708.355183805-10629.3551838048
101140344125779.47438085914564.5256191413
102220516240814.693309781-20298.693309781
103243060191834.97791477151225.0220852295
104162765145349.23132222417415.7686777764
105182613151214.31250965531398.6874903452
106232138209588.90056881722549.0994311831
107265318291987.792261749-26669.7922617485
10885574102100.631271448-16526.6312714482
109310839285749.44367859625089.5563214039
110225060221783.9554079733276.0445920269
111232317216850.44327634515466.5567236549
112144966165705.384938911-20739.3849389106
1134328755350.0313232324-12063.0313232324
114155754161654.889475243-5900.88947524325
115164709191564.320517055-26855.3205170552
116201940230456.548659969-28516.5486599686
117235454256036.822377124-20582.8223771243
118220801171941.9742141448859.0257858602
1199946692645.41210172996820.5878982701
12092661123805.82040427-31144.8204042698
121133328138784.330028879-5456.33002887874
12261361109737.245974895-48376.2459748948
123125930149908.939228158-23978.939228158
124100750154277.783904862-53527.7839048618
125224549145154.21335755279394.7866424477
1268231661628.718516001420687.2814839986
12710201090124.150134064411885.8498659356
128101523110617.884107411-9094.88410741065
129243511229449.32368645714061.6763135431
1302293821758.6278730061179.37212699396
1314156644293.4257232347-2727.42572323471
132152474194320.343836323-41846.343836323
1336185748912.745919803812944.2540801962
13499923160605.577536384-60682.5775363836
135132487148463.439615438-15976.4396154384
136317394264792.4584818652601.54151814
1372105417795.69501260293258.30498739705
138209641171325.7990007438315.2009992598
1392264845957.1892288285-23309.1892288285
1403141442906.9787668539-11492.9787668539
1414669869035.8514499796-22337.8514499796
142131698143155.992493183-11457.9924931835
1439173582114.18146481119620.81853518892
144244749256516.132458748-11767.1324587478
145184510172121.93481498512388.0651850154
14679863109069.347882315-29206.3478823146
147128423128169.784831048253.215168951675
14897839109887.674521144-12048.6745211445
1493821455095.2191927724-16881.2191927724
150151101147196.1733871253904.82661287523
151272458242661.62387225529796.3761277445
152172494147406.68125749825087.3187425017
153108043123049.757659439-15006.7576594394
154328107314830.81746405213276.1825359476
155250579233958.18295380716620.8170461932
156351067306077.22192116544989.7780788352
157158015130341.35242927527673.6475707246
1589886677251.267698850421614.7323011496
15985439107308.222065865-21869.2220658651
160229242240733.094477284-11491.0944772845
161351619330033.68345057421585.3165494257
1628420794207.6156868492-10000.6156868492
163120445132941.968355587-12496.9683555867
164324598340581.663279607-15983.6632796066
165131069164111.179171998-33042.1791719978
166204271168421.35669679835849.6433032023
167165543172165.91723581-6622.91723581037
168141722130228.90012340811493.0998765917
16911604896517.560230578319530.4397694217
170250047161530.20669378388516.7933062175
171299775312086.520680811-12311.5206808115
172195838193547.1226618362290.87733816366
173173260171090.5846837832169.41531621715
174254488242123.92206576712364.077934233
175104389189762.327185707-85373.3271857073
176136084130419.029938485664.97006151991
177199476231099.337027817-31623.3370278171
1789249984039.37730695998459.62269304014
179224330228558.247646792-4228.24764679228
180135781101383.69301911634397.3069808844
1817440897101.6683079473-22693.6683079473
18281240137193.112640552-55953.1126405521
183146885848.611196067158839.38880393285
184181633163309.08565073718323.9143492633
185271856252726.7823001619129.2176998403
18671993620.374746336653578.62525366335
1874666045330.15200241881329.84799758125
18817547834.7332502741716712.2667497258
189133368125044.3766519188323.62334808201
1909522797838.0783898908-2611.07838989084
191152601128050.09259826124550.9074017389
19298146100870.001945169-2724.00194516891
1937961997164.4615367616-17545.4615367616
1945919465742.2233651125-6548.22336511246
195139942135378.5871091824563.41289081825
196118612113780.0392287234831.96077127672
1977288088778.0480907985-15898.0480907985
1986547553387.330018817212087.6699811828
19999643129981.10524498-30338.1052449804
2007196573803.9219146844-1838.92191468445
2017727271050.49630776146221.50369223857
2024928954490.2617587126-5201.26175871258
203135131119290.56155653215840.4384434683
20410844698471.77663207319974.22336792691
20589746119823.012280016-30077.0122800157
2064429655954.9890878827-11658.9890878827
2077764885104.368554439-7456.36855443904
208181528135217.2922228446310.7077771597
209134019110719.88481176123299.1151882393
210124064121574.3248392462489.67516075403
2119263082351.565464878210278.4345351218
21212184897799.094009915924048.9059900841
2135291554214.8162151495-1299.81621514953
2148187277641.41009817434230.58990182573
2155898189352.4654849896-30371.4654849896
2165351561971.0457632021-8456.0457632021
2176081292338.559250396-31526.559250396
2185637549039.22351837057335.77648162949
2196549063077.91298893122412.08701106881
2208094952605.306265315728343.6937346843
2217630293478.8487182223-17176.8487182223
222104011109797.187674885-5786.18767488478
22398104151376.091170145-53272.0911701453
2246798960374.34197573747614.6580242626
2253098931677.0425669154-688.042566915445
226135458136052.254790305-594.254790304668
2277350455396.051057166618107.9489428334
2286312387013.9866235296-23890.9866235296
2296125491338.981964898-30084.981964898
23074914113157.343074698-38243.3430746978
2313177444837.5661712616-13063.5661712616
2328143786665.029536581-5228.02953658105
23387186118670.570196447-31484.570196447
2345009058523.234889311-8433.23488931105
2356574596115.0312200208-30370.0312200208
2365665371484.5763547641-14831.5763547641
237158399106389.93487914652009.0651208545
2384645560482.8114696923-14027.8114696923
2397362487039.3376120406-13415.3376120406
2403839559373.3038984826-20978.3038984826
2419189980793.560506124711105.4394938753
242139526137598.0508064851927.94919351456
2435216468789.5392604471-16625.5392604471
2445156757744.4233095349-6177.42330953488
2457055170981.5216486252-430.521648625175
2468485694578.7329635366-9722.73296353659
247102538127587.403712063-25049.4037120632
2488667862883.198436414623794.8015635854
2498570975998.79350561159710.20649438854
2503466248301.7088075266-13639.7088075266
251150580133861.78751421416718.212485786
2529961191193.54487292468417.45512707541
253193498301.6111050910511047.388894909
2549937396768.63962109492604.36037890507
25586230107104.45398524-20874.4539852396
2563083730453.6044669947383.395533005265
2573170645611.8239341165-13905.8239341165
2588980680468.10572591259337.89427408749
2596208851357.917363642310730.0826363577
2604015134178.41105058165972.58894941836
2612763445072.0336183741-17438.0336183741
2627699067685.57905930539304.42094069465
2633746028460.2077822458999.79221775497
2645415764678.8547220162-10521.8547220162
2654986258924.5234443495-9062.52344434954
2668433777829.25403729876507.74596270128
2676417583552.1105886964-19377.1105886964
2685938266142.144616646-6760.14461664601
26911930870555.307115699548752.6928843005
2707670298982.0231535315-22280.0231535315
271103425108839.748381925-5414.74838192545
2727034463106.62544836777237.37455163231
2734341040706.49197330492703.50802669511
274104838100236.5552733284601.44472667187
2756221551917.180057908810297.8199420912
2766930492046.2623877296-22742.2623877296
2775311737033.228368185816083.7716318142
278197649711.7823180800810052.2176819199
2798668091390.1849797902-4710.18497979021
2808410565876.170054887618228.8299451124
2817794579079.4802645722-1134.48026457223
2828911375627.593831533613485.4061684664
2839100595066.5087283259-4061.50872832586
2844024828991.586168541511256.4138314585
2856418759636.98404865784550.01595134215
2865085761181.0111250542-10324.0111250542
2875661355227.54600945661385.45399054338
2886279261360.61923109041431.38076890958
2897253573943.0763796354-1408.0763796354

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 210907 & 145716.639458594 & 65190.3605414061 \tabularnewline
2 & 120982 & 114225.368506263 & 6756.63149373703 \tabularnewline
3 & 176508 & 168632.557161806 & 7875.44283819442 \tabularnewline
4 & 179321 & 249563.689752862 & -70242.6897528617 \tabularnewline
5 & 123185 & 96793.3735093371 & 26391.6264906629 \tabularnewline
6 & 52746 & 52572.7463678841 & 173.253632115881 \tabularnewline
7 & 385534 & 347154.11797286 & 38379.88202714 \tabularnewline
8 & 33170 & 34711.4700679414 & -1541.47006794138 \tabularnewline
9 & 101645 & 87415.0197906118 & 14229.9802093882 \tabularnewline
10 & 149061 & 156302.043112651 & -7241.04311265051 \tabularnewline
11 & 165446 & 146373.227396097 & 19072.7726039028 \tabularnewline
12 & 237213 & 205416.547297261 & 31796.452702739 \tabularnewline
13 & 173326 & 188837.85324591 & -15511.8532459102 \tabularnewline
14 & 133131 & 145797.990704663 & -12666.9907046633 \tabularnewline
15 & 258873 & 246595.870870902 & 12277.1291290984 \tabularnewline
16 & 180083 & 161711.905877947 & 18371.0941220525 \tabularnewline
17 & 324799 & 405167.984162652 & -80368.9841626518 \tabularnewline
18 & 230964 & 190205.917971003 & 40758.0820289975 \tabularnewline
19 & 236785 & 235360.398511671 & 1424.60148832947 \tabularnewline
20 & 135473 & 131685.164253444 & 3787.83574655553 \tabularnewline
21 & 202925 & 202093.682238821 & 831.317761179074 \tabularnewline
22 & 215147 & 205171.393377767 & 9975.60662223251 \tabularnewline
23 & 344297 & 237261.245459688 & 107035.754540312 \tabularnewline
24 & 153935 & 117274.334265475 & 36660.6657345252 \tabularnewline
25 & 132943 & 156762.471839993 & -23819.4718399931 \tabularnewline
26 & 174724 & 268099.080736728 & -93375.0807367282 \tabularnewline
27 & 174415 & 222598.122096895 & -48183.1220968949 \tabularnewline
28 & 225548 & 239994.467131619 & -14446.4671316192 \tabularnewline
29 & 223632 & 189111.251284863 & 34520.7487151371 \tabularnewline
30 & 124817 & 130824.318777561 & -6007.31877756099 \tabularnewline
31 & 221698 & 200657.200061895 & 21040.799938105 \tabularnewline
32 & 210767 & 200292.353925877 & 10474.6460741225 \tabularnewline
33 & 170266 & 169368.878433763 & 897.121566237473 \tabularnewline
34 & 260561 & 224054.409461474 & 36506.5905385262 \tabularnewline
35 & 84853 & 97837.994508728 & -12984.994508728 \tabularnewline
36 & 294424 & 263072.983164916 & 31351.0168350841 \tabularnewline
37 & 101011 & 68556.6281340604 & 32454.3718659396 \tabularnewline
38 & 215641 & 206997.124608475 & 8643.87539152457 \tabularnewline
39 & 325107 & 259538.36104866 & 65568.6389513401 \tabularnewline
40 & 7176 & 3621.19217917984 & 3554.80782082016 \tabularnewline
41 & 167542 & 154362.125803677 & 13179.8741963235 \tabularnewline
42 & 106408 & 73877.5971189897 & 32530.4028810103 \tabularnewline
43 & 96560 & 131988.511479366 & -35428.511479366 \tabularnewline
44 & 265769 & 270138.573689732 & -4369.57368973232 \tabularnewline
45 & 269651 & 293572.011241964 & -23921.011241964 \tabularnewline
46 & 149112 & 159176.221397709 & -10064.2213977095 \tabularnewline
47 & 175824 & 219343.296601693 & -43519.2966016926 \tabularnewline
48 & 152871 & 150816.208619349 & 2054.79138065121 \tabularnewline
49 & 111665 & 110179.550534762 & 1485.44946523759 \tabularnewline
50 & 116408 & 218526.63725378 & -102118.63725378 \tabularnewline
51 & 362301 & 315385.714401762 & 46915.2855982383 \tabularnewline
52 & 78800 & 95944.2612584531 & -17144.2612584531 \tabularnewline
53 & 183167 & 196807.491078625 & -13640.4910786247 \tabularnewline
54 & 277965 & 308716.260282141 & -30751.2602821407 \tabularnewline
55 & 150629 & 200625.44131382 & -49996.4413138202 \tabularnewline
56 & 168809 & 157556.825329469 & 11252.1746705306 \tabularnewline
57 & 24188 & 37025.0397803539 & -12837.0397803539 \tabularnewline
58 & 329267 & 272561.960972365 & 56705.0390276354 \tabularnewline
59 & 65029 & 67044.9760039003 & -2015.97600390032 \tabularnewline
60 & 101097 & 106873.795420419 & -5776.79542041871 \tabularnewline
61 & 218946 & 211357.725309602 & 7588.27469039826 \tabularnewline
62 & 244052 & 213176.397642877 & 30875.6023571232 \tabularnewline
63 & 341570 & 322610.237556363 & 18959.7624436375 \tabularnewline
64 & 103597 & 93661.9346963635 & 9935.06530363654 \tabularnewline
65 & 233328 & 235131.269894794 & -1803.26989479406 \tabularnewline
66 & 256462 & 250447.788579067 & 6014.21142093253 \tabularnewline
67 & 206161 & 181470.367125369 & 24690.6328746308 \tabularnewline
68 & 311473 & 306765.983790212 & 4707.01620978753 \tabularnewline
69 & 235800 & 234201.421392537 & 1598.57860746349 \tabularnewline
70 & 177939 & 218831.222036112 & -40892.2220361121 \tabularnewline
71 & 207176 & 191371.276029959 & 15804.7239700413 \tabularnewline
72 & 196553 & 141478.332913172 & 55074.6670868278 \tabularnewline
73 & 174184 & 136266.614803851 & 37917.3851961488 \tabularnewline
74 & 143246 & 160965.412034034 & -17719.4120340337 \tabularnewline
75 & 187559 & 221987.893256377 & -34428.8932563768 \tabularnewline
76 & 187681 & 206197.841856636 & -18516.8418566363 \tabularnewline
77 & 119016 & 160187.053902536 & -41171.0539025358 \tabularnewline
78 & 182192 & 197103.02016197 & -14911.0201619698 \tabularnewline
79 & 73566 & 95832.8902560656 & -22266.8902560656 \tabularnewline
80 & 194979 & 184881.741862331 & 10097.2581376693 \tabularnewline
81 & 167488 & 164746.300467175 & 2741.69953282527 \tabularnewline
82 & 143756 & 175264.972490153 & -31508.9724901532 \tabularnewline
83 & 275541 & 229897.00714209 & 45643.99285791 \tabularnewline
84 & 243199 & 208302.418574648 & 34896.5814253519 \tabularnewline
85 & 182999 & 165215.378980993 & 17783.6210190065 \tabularnewline
86 & 135649 & 163111.094704336 & -27462.094704336 \tabularnewline
87 & 152299 & 162985.599959855 & -10686.5999598549 \tabularnewline
88 & 120221 & 137811.375225256 & -17590.3752252564 \tabularnewline
89 & 346485 & 284483.162435647 & 62001.8375643532 \tabularnewline
90 & 145790 & 151320.823113404 & -5530.82311340389 \tabularnewline
91 & 193339 & 184332.633021488 & 9006.36697851227 \tabularnewline
92 & 80953 & 94667.8620154491 & -13714.8620154491 \tabularnewline
93 & 122774 & 147593.936868401 & -24819.9368684005 \tabularnewline
94 & 130585 & 119222.112031478 & 11362.8879685221 \tabularnewline
95 & 112611 & 91319.8781661871 & 21291.1218338129 \tabularnewline
96 & 286468 & 265746.027044261 & 20721.972955739 \tabularnewline
97 & 241066 & 224515.700638393 & 16550.2993616069 \tabularnewline
98 & 148446 & 275887.356084021 & -127441.356084021 \tabularnewline
99 & 204713 & 192045.86024835 & 12667.1397516504 \tabularnewline
100 & 182079 & 192708.355183805 & -10629.3551838048 \tabularnewline
101 & 140344 & 125779.474380859 & 14564.5256191413 \tabularnewline
102 & 220516 & 240814.693309781 & -20298.693309781 \tabularnewline
103 & 243060 & 191834.977914771 & 51225.0220852295 \tabularnewline
104 & 162765 & 145349.231322224 & 17415.7686777764 \tabularnewline
105 & 182613 & 151214.312509655 & 31398.6874903452 \tabularnewline
106 & 232138 & 209588.900568817 & 22549.0994311831 \tabularnewline
107 & 265318 & 291987.792261749 & -26669.7922617485 \tabularnewline
108 & 85574 & 102100.631271448 & -16526.6312714482 \tabularnewline
109 & 310839 & 285749.443678596 & 25089.5563214039 \tabularnewline
110 & 225060 & 221783.955407973 & 3276.0445920269 \tabularnewline
111 & 232317 & 216850.443276345 & 15466.5567236549 \tabularnewline
112 & 144966 & 165705.384938911 & -20739.3849389106 \tabularnewline
113 & 43287 & 55350.0313232324 & -12063.0313232324 \tabularnewline
114 & 155754 & 161654.889475243 & -5900.88947524325 \tabularnewline
115 & 164709 & 191564.320517055 & -26855.3205170552 \tabularnewline
116 & 201940 & 230456.548659969 & -28516.5486599686 \tabularnewline
117 & 235454 & 256036.822377124 & -20582.8223771243 \tabularnewline
118 & 220801 & 171941.97421414 & 48859.0257858602 \tabularnewline
119 & 99466 & 92645.4121017299 & 6820.5878982701 \tabularnewline
120 & 92661 & 123805.82040427 & -31144.8204042698 \tabularnewline
121 & 133328 & 138784.330028879 & -5456.33002887874 \tabularnewline
122 & 61361 & 109737.245974895 & -48376.2459748948 \tabularnewline
123 & 125930 & 149908.939228158 & -23978.939228158 \tabularnewline
124 & 100750 & 154277.783904862 & -53527.7839048618 \tabularnewline
125 & 224549 & 145154.213357552 & 79394.7866424477 \tabularnewline
126 & 82316 & 61628.7185160014 & 20687.2814839986 \tabularnewline
127 & 102010 & 90124.1501340644 & 11885.8498659356 \tabularnewline
128 & 101523 & 110617.884107411 & -9094.88410741065 \tabularnewline
129 & 243511 & 229449.323686457 & 14061.6763135431 \tabularnewline
130 & 22938 & 21758.627873006 & 1179.37212699396 \tabularnewline
131 & 41566 & 44293.4257232347 & -2727.42572323471 \tabularnewline
132 & 152474 & 194320.343836323 & -41846.343836323 \tabularnewline
133 & 61857 & 48912.7459198038 & 12944.2540801962 \tabularnewline
134 & 99923 & 160605.577536384 & -60682.5775363836 \tabularnewline
135 & 132487 & 148463.439615438 & -15976.4396154384 \tabularnewline
136 & 317394 & 264792.45848186 & 52601.54151814 \tabularnewline
137 & 21054 & 17795.6950126029 & 3258.30498739705 \tabularnewline
138 & 209641 & 171325.79900074 & 38315.2009992598 \tabularnewline
139 & 22648 & 45957.1892288285 & -23309.1892288285 \tabularnewline
140 & 31414 & 42906.9787668539 & -11492.9787668539 \tabularnewline
141 & 46698 & 69035.8514499796 & -22337.8514499796 \tabularnewline
142 & 131698 & 143155.992493183 & -11457.9924931835 \tabularnewline
143 & 91735 & 82114.1814648111 & 9620.81853518892 \tabularnewline
144 & 244749 & 256516.132458748 & -11767.1324587478 \tabularnewline
145 & 184510 & 172121.934814985 & 12388.0651850154 \tabularnewline
146 & 79863 & 109069.347882315 & -29206.3478823146 \tabularnewline
147 & 128423 & 128169.784831048 & 253.215168951675 \tabularnewline
148 & 97839 & 109887.674521144 & -12048.6745211445 \tabularnewline
149 & 38214 & 55095.2191927724 & -16881.2191927724 \tabularnewline
150 & 151101 & 147196.173387125 & 3904.82661287523 \tabularnewline
151 & 272458 & 242661.623872255 & 29796.3761277445 \tabularnewline
152 & 172494 & 147406.681257498 & 25087.3187425017 \tabularnewline
153 & 108043 & 123049.757659439 & -15006.7576594394 \tabularnewline
154 & 328107 & 314830.817464052 & 13276.1825359476 \tabularnewline
155 & 250579 & 233958.182953807 & 16620.8170461932 \tabularnewline
156 & 351067 & 306077.221921165 & 44989.7780788352 \tabularnewline
157 & 158015 & 130341.352429275 & 27673.6475707246 \tabularnewline
158 & 98866 & 77251.2676988504 & 21614.7323011496 \tabularnewline
159 & 85439 & 107308.222065865 & -21869.2220658651 \tabularnewline
160 & 229242 & 240733.094477284 & -11491.0944772845 \tabularnewline
161 & 351619 & 330033.683450574 & 21585.3165494257 \tabularnewline
162 & 84207 & 94207.6156868492 & -10000.6156868492 \tabularnewline
163 & 120445 & 132941.968355587 & -12496.9683555867 \tabularnewline
164 & 324598 & 340581.663279607 & -15983.6632796066 \tabularnewline
165 & 131069 & 164111.179171998 & -33042.1791719978 \tabularnewline
166 & 204271 & 168421.356696798 & 35849.6433032023 \tabularnewline
167 & 165543 & 172165.91723581 & -6622.91723581037 \tabularnewline
168 & 141722 & 130228.900123408 & 11493.0998765917 \tabularnewline
169 & 116048 & 96517.5602305783 & 19530.4397694217 \tabularnewline
170 & 250047 & 161530.206693783 & 88516.7933062175 \tabularnewline
171 & 299775 & 312086.520680811 & -12311.5206808115 \tabularnewline
172 & 195838 & 193547.122661836 & 2290.87733816366 \tabularnewline
173 & 173260 & 171090.584683783 & 2169.41531621715 \tabularnewline
174 & 254488 & 242123.922065767 & 12364.077934233 \tabularnewline
175 & 104389 & 189762.327185707 & -85373.3271857073 \tabularnewline
176 & 136084 & 130419.02993848 & 5664.97006151991 \tabularnewline
177 & 199476 & 231099.337027817 & -31623.3370278171 \tabularnewline
178 & 92499 & 84039.3773069599 & 8459.62269304014 \tabularnewline
179 & 224330 & 228558.247646792 & -4228.24764679228 \tabularnewline
180 & 135781 & 101383.693019116 & 34397.3069808844 \tabularnewline
181 & 74408 & 97101.6683079473 & -22693.6683079473 \tabularnewline
182 & 81240 & 137193.112640552 & -55953.1126405521 \tabularnewline
183 & 14688 & 5848.61119606715 & 8839.38880393285 \tabularnewline
184 & 181633 & 163309.085650737 & 18323.9143492633 \tabularnewline
185 & 271856 & 252726.78230016 & 19129.2176998403 \tabularnewline
186 & 7199 & 3620.37474633665 & 3578.62525366335 \tabularnewline
187 & 46660 & 45330.1520024188 & 1329.84799758125 \tabularnewline
188 & 17547 & 834.73325027417 & 16712.2667497258 \tabularnewline
189 & 133368 & 125044.376651918 & 8323.62334808201 \tabularnewline
190 & 95227 & 97838.0783898908 & -2611.07838989084 \tabularnewline
191 & 152601 & 128050.092598261 & 24550.9074017389 \tabularnewline
192 & 98146 & 100870.001945169 & -2724.00194516891 \tabularnewline
193 & 79619 & 97164.4615367616 & -17545.4615367616 \tabularnewline
194 & 59194 & 65742.2233651125 & -6548.22336511246 \tabularnewline
195 & 139942 & 135378.587109182 & 4563.41289081825 \tabularnewline
196 & 118612 & 113780.039228723 & 4831.96077127672 \tabularnewline
197 & 72880 & 88778.0480907985 & -15898.0480907985 \tabularnewline
198 & 65475 & 53387.3300188172 & 12087.6699811828 \tabularnewline
199 & 99643 & 129981.10524498 & -30338.1052449804 \tabularnewline
200 & 71965 & 73803.9219146844 & -1838.92191468445 \tabularnewline
201 & 77272 & 71050.4963077614 & 6221.50369223857 \tabularnewline
202 & 49289 & 54490.2617587126 & -5201.26175871258 \tabularnewline
203 & 135131 & 119290.561556532 & 15840.4384434683 \tabularnewline
204 & 108446 & 98471.7766320731 & 9974.22336792691 \tabularnewline
205 & 89746 & 119823.012280016 & -30077.0122800157 \tabularnewline
206 & 44296 & 55954.9890878827 & -11658.9890878827 \tabularnewline
207 & 77648 & 85104.368554439 & -7456.36855443904 \tabularnewline
208 & 181528 & 135217.29222284 & 46310.7077771597 \tabularnewline
209 & 134019 & 110719.884811761 & 23299.1151882393 \tabularnewline
210 & 124064 & 121574.324839246 & 2489.67516075403 \tabularnewline
211 & 92630 & 82351.5654648782 & 10278.4345351218 \tabularnewline
212 & 121848 & 97799.0940099159 & 24048.9059900841 \tabularnewline
213 & 52915 & 54214.8162151495 & -1299.81621514953 \tabularnewline
214 & 81872 & 77641.4100981743 & 4230.58990182573 \tabularnewline
215 & 58981 & 89352.4654849896 & -30371.4654849896 \tabularnewline
216 & 53515 & 61971.0457632021 & -8456.0457632021 \tabularnewline
217 & 60812 & 92338.559250396 & -31526.559250396 \tabularnewline
218 & 56375 & 49039.2235183705 & 7335.77648162949 \tabularnewline
219 & 65490 & 63077.9129889312 & 2412.08701106881 \tabularnewline
220 & 80949 & 52605.3062653157 & 28343.6937346843 \tabularnewline
221 & 76302 & 93478.8487182223 & -17176.8487182223 \tabularnewline
222 & 104011 & 109797.187674885 & -5786.18767488478 \tabularnewline
223 & 98104 & 151376.091170145 & -53272.0911701453 \tabularnewline
224 & 67989 & 60374.3419757374 & 7614.6580242626 \tabularnewline
225 & 30989 & 31677.0425669154 & -688.042566915445 \tabularnewline
226 & 135458 & 136052.254790305 & -594.254790304668 \tabularnewline
227 & 73504 & 55396.0510571666 & 18107.9489428334 \tabularnewline
228 & 63123 & 87013.9866235296 & -23890.9866235296 \tabularnewline
229 & 61254 & 91338.981964898 & -30084.981964898 \tabularnewline
230 & 74914 & 113157.343074698 & -38243.3430746978 \tabularnewline
231 & 31774 & 44837.5661712616 & -13063.5661712616 \tabularnewline
232 & 81437 & 86665.029536581 & -5228.02953658105 \tabularnewline
233 & 87186 & 118670.570196447 & -31484.570196447 \tabularnewline
234 & 50090 & 58523.234889311 & -8433.23488931105 \tabularnewline
235 & 65745 & 96115.0312200208 & -30370.0312200208 \tabularnewline
236 & 56653 & 71484.5763547641 & -14831.5763547641 \tabularnewline
237 & 158399 & 106389.934879146 & 52009.0651208545 \tabularnewline
238 & 46455 & 60482.8114696923 & -14027.8114696923 \tabularnewline
239 & 73624 & 87039.3376120406 & -13415.3376120406 \tabularnewline
240 & 38395 & 59373.3038984826 & -20978.3038984826 \tabularnewline
241 & 91899 & 80793.5605061247 & 11105.4394938753 \tabularnewline
242 & 139526 & 137598.050806485 & 1927.94919351456 \tabularnewline
243 & 52164 & 68789.5392604471 & -16625.5392604471 \tabularnewline
244 & 51567 & 57744.4233095349 & -6177.42330953488 \tabularnewline
245 & 70551 & 70981.5216486252 & -430.521648625175 \tabularnewline
246 & 84856 & 94578.7329635366 & -9722.73296353659 \tabularnewline
247 & 102538 & 127587.403712063 & -25049.4037120632 \tabularnewline
248 & 86678 & 62883.1984364146 & 23794.8015635854 \tabularnewline
249 & 85709 & 75998.7935056115 & 9710.20649438854 \tabularnewline
250 & 34662 & 48301.7088075266 & -13639.7088075266 \tabularnewline
251 & 150580 & 133861.787514214 & 16718.212485786 \tabularnewline
252 & 99611 & 91193.5448729246 & 8417.45512707541 \tabularnewline
253 & 19349 & 8301.61110509105 & 11047.388894909 \tabularnewline
254 & 99373 & 96768.6396210949 & 2604.36037890507 \tabularnewline
255 & 86230 & 107104.45398524 & -20874.4539852396 \tabularnewline
256 & 30837 & 30453.6044669947 & 383.395533005265 \tabularnewline
257 & 31706 & 45611.8239341165 & -13905.8239341165 \tabularnewline
258 & 89806 & 80468.1057259125 & 9337.89427408749 \tabularnewline
259 & 62088 & 51357.9173636423 & 10730.0826363577 \tabularnewline
260 & 40151 & 34178.4110505816 & 5972.58894941836 \tabularnewline
261 & 27634 & 45072.0336183741 & -17438.0336183741 \tabularnewline
262 & 76990 & 67685.5790593053 & 9304.42094069465 \tabularnewline
263 & 37460 & 28460.207782245 & 8999.79221775497 \tabularnewline
264 & 54157 & 64678.8547220162 & -10521.8547220162 \tabularnewline
265 & 49862 & 58924.5234443495 & -9062.52344434954 \tabularnewline
266 & 84337 & 77829.2540372987 & 6507.74596270128 \tabularnewline
267 & 64175 & 83552.1105886964 & -19377.1105886964 \tabularnewline
268 & 59382 & 66142.144616646 & -6760.14461664601 \tabularnewline
269 & 119308 & 70555.3071156995 & 48752.6928843005 \tabularnewline
270 & 76702 & 98982.0231535315 & -22280.0231535315 \tabularnewline
271 & 103425 & 108839.748381925 & -5414.74838192545 \tabularnewline
272 & 70344 & 63106.6254483677 & 7237.37455163231 \tabularnewline
273 & 43410 & 40706.4919733049 & 2703.50802669511 \tabularnewline
274 & 104838 & 100236.555273328 & 4601.44472667187 \tabularnewline
275 & 62215 & 51917.1800579088 & 10297.8199420912 \tabularnewline
276 & 69304 & 92046.2623877296 & -22742.2623877296 \tabularnewline
277 & 53117 & 37033.2283681858 & 16083.7716318142 \tabularnewline
278 & 19764 & 9711.78231808008 & 10052.2176819199 \tabularnewline
279 & 86680 & 91390.1849797902 & -4710.18497979021 \tabularnewline
280 & 84105 & 65876.1700548876 & 18228.8299451124 \tabularnewline
281 & 77945 & 79079.4802645722 & -1134.48026457223 \tabularnewline
282 & 89113 & 75627.5938315336 & 13485.4061684664 \tabularnewline
283 & 91005 & 95066.5087283259 & -4061.50872832586 \tabularnewline
284 & 40248 & 28991.5861685415 & 11256.4138314585 \tabularnewline
285 & 64187 & 59636.9840486578 & 4550.01595134215 \tabularnewline
286 & 50857 & 61181.0111250542 & -10324.0111250542 \tabularnewline
287 & 56613 & 55227.5460094566 & 1385.45399054338 \tabularnewline
288 & 62792 & 61360.6192310904 & 1431.38076890958 \tabularnewline
289 & 72535 & 73943.0763796354 & -1408.0763796354 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=186139&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]210907[/C][C]145716.639458594[/C][C]65190.3605414061[/C][/ROW]
[ROW][C]2[/C][C]120982[/C][C]114225.368506263[/C][C]6756.63149373703[/C][/ROW]
[ROW][C]3[/C][C]176508[/C][C]168632.557161806[/C][C]7875.44283819442[/C][/ROW]
[ROW][C]4[/C][C]179321[/C][C]249563.689752862[/C][C]-70242.6897528617[/C][/ROW]
[ROW][C]5[/C][C]123185[/C][C]96793.3735093371[/C][C]26391.6264906629[/C][/ROW]
[ROW][C]6[/C][C]52746[/C][C]52572.7463678841[/C][C]173.253632115881[/C][/ROW]
[ROW][C]7[/C][C]385534[/C][C]347154.11797286[/C][C]38379.88202714[/C][/ROW]
[ROW][C]8[/C][C]33170[/C][C]34711.4700679414[/C][C]-1541.47006794138[/C][/ROW]
[ROW][C]9[/C][C]101645[/C][C]87415.0197906118[/C][C]14229.9802093882[/C][/ROW]
[ROW][C]10[/C][C]149061[/C][C]156302.043112651[/C][C]-7241.04311265051[/C][/ROW]
[ROW][C]11[/C][C]165446[/C][C]146373.227396097[/C][C]19072.7726039028[/C][/ROW]
[ROW][C]12[/C][C]237213[/C][C]205416.547297261[/C][C]31796.452702739[/C][/ROW]
[ROW][C]13[/C][C]173326[/C][C]188837.85324591[/C][C]-15511.8532459102[/C][/ROW]
[ROW][C]14[/C][C]133131[/C][C]145797.990704663[/C][C]-12666.9907046633[/C][/ROW]
[ROW][C]15[/C][C]258873[/C][C]246595.870870902[/C][C]12277.1291290984[/C][/ROW]
[ROW][C]16[/C][C]180083[/C][C]161711.905877947[/C][C]18371.0941220525[/C][/ROW]
[ROW][C]17[/C][C]324799[/C][C]405167.984162652[/C][C]-80368.9841626518[/C][/ROW]
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[ROW][C]19[/C][C]236785[/C][C]235360.398511671[/C][C]1424.60148832947[/C][/ROW]
[ROW][C]20[/C][C]135473[/C][C]131685.164253444[/C][C]3787.83574655553[/C][/ROW]
[ROW][C]21[/C][C]202925[/C][C]202093.682238821[/C][C]831.317761179074[/C][/ROW]
[ROW][C]22[/C][C]215147[/C][C]205171.393377767[/C][C]9975.60662223251[/C][/ROW]
[ROW][C]23[/C][C]344297[/C][C]237261.245459688[/C][C]107035.754540312[/C][/ROW]
[ROW][C]24[/C][C]153935[/C][C]117274.334265475[/C][C]36660.6657345252[/C][/ROW]
[ROW][C]25[/C][C]132943[/C][C]156762.471839993[/C][C]-23819.4718399931[/C][/ROW]
[ROW][C]26[/C][C]174724[/C][C]268099.080736728[/C][C]-93375.0807367282[/C][/ROW]
[ROW][C]27[/C][C]174415[/C][C]222598.122096895[/C][C]-48183.1220968949[/C][/ROW]
[ROW][C]28[/C][C]225548[/C][C]239994.467131619[/C][C]-14446.4671316192[/C][/ROW]
[ROW][C]29[/C][C]223632[/C][C]189111.251284863[/C][C]34520.7487151371[/C][/ROW]
[ROW][C]30[/C][C]124817[/C][C]130824.318777561[/C][C]-6007.31877756099[/C][/ROW]
[ROW][C]31[/C][C]221698[/C][C]200657.200061895[/C][C]21040.799938105[/C][/ROW]
[ROW][C]32[/C][C]210767[/C][C]200292.353925877[/C][C]10474.6460741225[/C][/ROW]
[ROW][C]33[/C][C]170266[/C][C]169368.878433763[/C][C]897.121566237473[/C][/ROW]
[ROW][C]34[/C][C]260561[/C][C]224054.409461474[/C][C]36506.5905385262[/C][/ROW]
[ROW][C]35[/C][C]84853[/C][C]97837.994508728[/C][C]-12984.994508728[/C][/ROW]
[ROW][C]36[/C][C]294424[/C][C]263072.983164916[/C][C]31351.0168350841[/C][/ROW]
[ROW][C]37[/C][C]101011[/C][C]68556.6281340604[/C][C]32454.3718659396[/C][/ROW]
[ROW][C]38[/C][C]215641[/C][C]206997.124608475[/C][C]8643.87539152457[/C][/ROW]
[ROW][C]39[/C][C]325107[/C][C]259538.36104866[/C][C]65568.6389513401[/C][/ROW]
[ROW][C]40[/C][C]7176[/C][C]3621.19217917984[/C][C]3554.80782082016[/C][/ROW]
[ROW][C]41[/C][C]167542[/C][C]154362.125803677[/C][C]13179.8741963235[/C][/ROW]
[ROW][C]42[/C][C]106408[/C][C]73877.5971189897[/C][C]32530.4028810103[/C][/ROW]
[ROW][C]43[/C][C]96560[/C][C]131988.511479366[/C][C]-35428.511479366[/C][/ROW]
[ROW][C]44[/C][C]265769[/C][C]270138.573689732[/C][C]-4369.57368973232[/C][/ROW]
[ROW][C]45[/C][C]269651[/C][C]293572.011241964[/C][C]-23921.011241964[/C][/ROW]
[ROW][C]46[/C][C]149112[/C][C]159176.221397709[/C][C]-10064.2213977095[/C][/ROW]
[ROW][C]47[/C][C]175824[/C][C]219343.296601693[/C][C]-43519.2966016926[/C][/ROW]
[ROW][C]48[/C][C]152871[/C][C]150816.208619349[/C][C]2054.79138065121[/C][/ROW]
[ROW][C]49[/C][C]111665[/C][C]110179.550534762[/C][C]1485.44946523759[/C][/ROW]
[ROW][C]50[/C][C]116408[/C][C]218526.63725378[/C][C]-102118.63725378[/C][/ROW]
[ROW][C]51[/C][C]362301[/C][C]315385.714401762[/C][C]46915.2855982383[/C][/ROW]
[ROW][C]52[/C][C]78800[/C][C]95944.2612584531[/C][C]-17144.2612584531[/C][/ROW]
[ROW][C]53[/C][C]183167[/C][C]196807.491078625[/C][C]-13640.4910786247[/C][/ROW]
[ROW][C]54[/C][C]277965[/C][C]308716.260282141[/C][C]-30751.2602821407[/C][/ROW]
[ROW][C]55[/C][C]150629[/C][C]200625.44131382[/C][C]-49996.4413138202[/C][/ROW]
[ROW][C]56[/C][C]168809[/C][C]157556.825329469[/C][C]11252.1746705306[/C][/ROW]
[ROW][C]57[/C][C]24188[/C][C]37025.0397803539[/C][C]-12837.0397803539[/C][/ROW]
[ROW][C]58[/C][C]329267[/C][C]272561.960972365[/C][C]56705.0390276354[/C][/ROW]
[ROW][C]59[/C][C]65029[/C][C]67044.9760039003[/C][C]-2015.97600390032[/C][/ROW]
[ROW][C]60[/C][C]101097[/C][C]106873.795420419[/C][C]-5776.79542041871[/C][/ROW]
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[ROW][C]62[/C][C]244052[/C][C]213176.397642877[/C][C]30875.6023571232[/C][/ROW]
[ROW][C]63[/C][C]341570[/C][C]322610.237556363[/C][C]18959.7624436375[/C][/ROW]
[ROW][C]64[/C][C]103597[/C][C]93661.9346963635[/C][C]9935.06530363654[/C][/ROW]
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[ROW][C]68[/C][C]311473[/C][C]306765.983790212[/C][C]4707.01620978753[/C][/ROW]
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[ROW][C]71[/C][C]207176[/C][C]191371.276029959[/C][C]15804.7239700413[/C][/ROW]
[ROW][C]72[/C][C]196553[/C][C]141478.332913172[/C][C]55074.6670868278[/C][/ROW]
[ROW][C]73[/C][C]174184[/C][C]136266.614803851[/C][C]37917.3851961488[/C][/ROW]
[ROW][C]74[/C][C]143246[/C][C]160965.412034034[/C][C]-17719.4120340337[/C][/ROW]
[ROW][C]75[/C][C]187559[/C][C]221987.893256377[/C][C]-34428.8932563768[/C][/ROW]
[ROW][C]76[/C][C]187681[/C][C]206197.841856636[/C][C]-18516.8418566363[/C][/ROW]
[ROW][C]77[/C][C]119016[/C][C]160187.053902536[/C][C]-41171.0539025358[/C][/ROW]
[ROW][C]78[/C][C]182192[/C][C]197103.02016197[/C][C]-14911.0201619698[/C][/ROW]
[ROW][C]79[/C][C]73566[/C][C]95832.8902560656[/C][C]-22266.8902560656[/C][/ROW]
[ROW][C]80[/C][C]194979[/C][C]184881.741862331[/C][C]10097.2581376693[/C][/ROW]
[ROW][C]81[/C][C]167488[/C][C]164746.300467175[/C][C]2741.69953282527[/C][/ROW]
[ROW][C]82[/C][C]143756[/C][C]175264.972490153[/C][C]-31508.9724901532[/C][/ROW]
[ROW][C]83[/C][C]275541[/C][C]229897.00714209[/C][C]45643.99285791[/C][/ROW]
[ROW][C]84[/C][C]243199[/C][C]208302.418574648[/C][C]34896.5814253519[/C][/ROW]
[ROW][C]85[/C][C]182999[/C][C]165215.378980993[/C][C]17783.6210190065[/C][/ROW]
[ROW][C]86[/C][C]135649[/C][C]163111.094704336[/C][C]-27462.094704336[/C][/ROW]
[ROW][C]87[/C][C]152299[/C][C]162985.599959855[/C][C]-10686.5999598549[/C][/ROW]
[ROW][C]88[/C][C]120221[/C][C]137811.375225256[/C][C]-17590.3752252564[/C][/ROW]
[ROW][C]89[/C][C]346485[/C][C]284483.162435647[/C][C]62001.8375643532[/C][/ROW]
[ROW][C]90[/C][C]145790[/C][C]151320.823113404[/C][C]-5530.82311340389[/C][/ROW]
[ROW][C]91[/C][C]193339[/C][C]184332.633021488[/C][C]9006.36697851227[/C][/ROW]
[ROW][C]92[/C][C]80953[/C][C]94667.8620154491[/C][C]-13714.8620154491[/C][/ROW]
[ROW][C]93[/C][C]122774[/C][C]147593.936868401[/C][C]-24819.9368684005[/C][/ROW]
[ROW][C]94[/C][C]130585[/C][C]119222.112031478[/C][C]11362.8879685221[/C][/ROW]
[ROW][C]95[/C][C]112611[/C][C]91319.8781661871[/C][C]21291.1218338129[/C][/ROW]
[ROW][C]96[/C][C]286468[/C][C]265746.027044261[/C][C]20721.972955739[/C][/ROW]
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[ROW][C]99[/C][C]204713[/C][C]192045.86024835[/C][C]12667.1397516504[/C][/ROW]
[ROW][C]100[/C][C]182079[/C][C]192708.355183805[/C][C]-10629.3551838048[/C][/ROW]
[ROW][C]101[/C][C]140344[/C][C]125779.474380859[/C][C]14564.5256191413[/C][/ROW]
[ROW][C]102[/C][C]220516[/C][C]240814.693309781[/C][C]-20298.693309781[/C][/ROW]
[ROW][C]103[/C][C]243060[/C][C]191834.977914771[/C][C]51225.0220852295[/C][/ROW]
[ROW][C]104[/C][C]162765[/C][C]145349.231322224[/C][C]17415.7686777764[/C][/ROW]
[ROW][C]105[/C][C]182613[/C][C]151214.312509655[/C][C]31398.6874903452[/C][/ROW]
[ROW][C]106[/C][C]232138[/C][C]209588.900568817[/C][C]22549.0994311831[/C][/ROW]
[ROW][C]107[/C][C]265318[/C][C]291987.792261749[/C][C]-26669.7922617485[/C][/ROW]
[ROW][C]108[/C][C]85574[/C][C]102100.631271448[/C][C]-16526.6312714482[/C][/ROW]
[ROW][C]109[/C][C]310839[/C][C]285749.443678596[/C][C]25089.5563214039[/C][/ROW]
[ROW][C]110[/C][C]225060[/C][C]221783.955407973[/C][C]3276.0445920269[/C][/ROW]
[ROW][C]111[/C][C]232317[/C][C]216850.443276345[/C][C]15466.5567236549[/C][/ROW]
[ROW][C]112[/C][C]144966[/C][C]165705.384938911[/C][C]-20739.3849389106[/C][/ROW]
[ROW][C]113[/C][C]43287[/C][C]55350.0313232324[/C][C]-12063.0313232324[/C][/ROW]
[ROW][C]114[/C][C]155754[/C][C]161654.889475243[/C][C]-5900.88947524325[/C][/ROW]
[ROW][C]115[/C][C]164709[/C][C]191564.320517055[/C][C]-26855.3205170552[/C][/ROW]
[ROW][C]116[/C][C]201940[/C][C]230456.548659969[/C][C]-28516.5486599686[/C][/ROW]
[ROW][C]117[/C][C]235454[/C][C]256036.822377124[/C][C]-20582.8223771243[/C][/ROW]
[ROW][C]118[/C][C]220801[/C][C]171941.97421414[/C][C]48859.0257858602[/C][/ROW]
[ROW][C]119[/C][C]99466[/C][C]92645.4121017299[/C][C]6820.5878982701[/C][/ROW]
[ROW][C]120[/C][C]92661[/C][C]123805.82040427[/C][C]-31144.8204042698[/C][/ROW]
[ROW][C]121[/C][C]133328[/C][C]138784.330028879[/C][C]-5456.33002887874[/C][/ROW]
[ROW][C]122[/C][C]61361[/C][C]109737.245974895[/C][C]-48376.2459748948[/C][/ROW]
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[ROW][C]124[/C][C]100750[/C][C]154277.783904862[/C][C]-53527.7839048618[/C][/ROW]
[ROW][C]125[/C][C]224549[/C][C]145154.213357552[/C][C]79394.7866424477[/C][/ROW]
[ROW][C]126[/C][C]82316[/C][C]61628.7185160014[/C][C]20687.2814839986[/C][/ROW]
[ROW][C]127[/C][C]102010[/C][C]90124.1501340644[/C][C]11885.8498659356[/C][/ROW]
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[ROW][C]130[/C][C]22938[/C][C]21758.627873006[/C][C]1179.37212699396[/C][/ROW]
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[ROW][C]133[/C][C]61857[/C][C]48912.7459198038[/C][C]12944.2540801962[/C][/ROW]
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[ROW][C]165[/C][C]131069[/C][C]164111.179171998[/C][C]-33042.1791719978[/C][/ROW]
[ROW][C]166[/C][C]204271[/C][C]168421.356696798[/C][C]35849.6433032023[/C][/ROW]
[ROW][C]167[/C][C]165543[/C][C]172165.91723581[/C][C]-6622.91723581037[/C][/ROW]
[ROW][C]168[/C][C]141722[/C][C]130228.900123408[/C][C]11493.0998765917[/C][/ROW]
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[ROW][C]171[/C][C]299775[/C][C]312086.520680811[/C][C]-12311.5206808115[/C][/ROW]
[ROW][C]172[/C][C]195838[/C][C]193547.122661836[/C][C]2290.87733816366[/C][/ROW]
[ROW][C]173[/C][C]173260[/C][C]171090.584683783[/C][C]2169.41531621715[/C][/ROW]
[ROW][C]174[/C][C]254488[/C][C]242123.922065767[/C][C]12364.077934233[/C][/ROW]
[ROW][C]175[/C][C]104389[/C][C]189762.327185707[/C][C]-85373.3271857073[/C][/ROW]
[ROW][C]176[/C][C]136084[/C][C]130419.02993848[/C][C]5664.97006151991[/C][/ROW]
[ROW][C]177[/C][C]199476[/C][C]231099.337027817[/C][C]-31623.3370278171[/C][/ROW]
[ROW][C]178[/C][C]92499[/C][C]84039.3773069599[/C][C]8459.62269304014[/C][/ROW]
[ROW][C]179[/C][C]224330[/C][C]228558.247646792[/C][C]-4228.24764679228[/C][/ROW]
[ROW][C]180[/C][C]135781[/C][C]101383.693019116[/C][C]34397.3069808844[/C][/ROW]
[ROW][C]181[/C][C]74408[/C][C]97101.6683079473[/C][C]-22693.6683079473[/C][/ROW]
[ROW][C]182[/C][C]81240[/C][C]137193.112640552[/C][C]-55953.1126405521[/C][/ROW]
[ROW][C]183[/C][C]14688[/C][C]5848.61119606715[/C][C]8839.38880393285[/C][/ROW]
[ROW][C]184[/C][C]181633[/C][C]163309.085650737[/C][C]18323.9143492633[/C][/ROW]
[ROW][C]185[/C][C]271856[/C][C]252726.78230016[/C][C]19129.2176998403[/C][/ROW]
[ROW][C]186[/C][C]7199[/C][C]3620.37474633665[/C][C]3578.62525366335[/C][/ROW]
[ROW][C]187[/C][C]46660[/C][C]45330.1520024188[/C][C]1329.84799758125[/C][/ROW]
[ROW][C]188[/C][C]17547[/C][C]834.73325027417[/C][C]16712.2667497258[/C][/ROW]
[ROW][C]189[/C][C]133368[/C][C]125044.376651918[/C][C]8323.62334808201[/C][/ROW]
[ROW][C]190[/C][C]95227[/C][C]97838.0783898908[/C][C]-2611.07838989084[/C][/ROW]
[ROW][C]191[/C][C]152601[/C][C]128050.092598261[/C][C]24550.9074017389[/C][/ROW]
[ROW][C]192[/C][C]98146[/C][C]100870.001945169[/C][C]-2724.00194516891[/C][/ROW]
[ROW][C]193[/C][C]79619[/C][C]97164.4615367616[/C][C]-17545.4615367616[/C][/ROW]
[ROW][C]194[/C][C]59194[/C][C]65742.2233651125[/C][C]-6548.22336511246[/C][/ROW]
[ROW][C]195[/C][C]139942[/C][C]135378.587109182[/C][C]4563.41289081825[/C][/ROW]
[ROW][C]196[/C][C]118612[/C][C]113780.039228723[/C][C]4831.96077127672[/C][/ROW]
[ROW][C]197[/C][C]72880[/C][C]88778.0480907985[/C][C]-15898.0480907985[/C][/ROW]
[ROW][C]198[/C][C]65475[/C][C]53387.3300188172[/C][C]12087.6699811828[/C][/ROW]
[ROW][C]199[/C][C]99643[/C][C]129981.10524498[/C][C]-30338.1052449804[/C][/ROW]
[ROW][C]200[/C][C]71965[/C][C]73803.9219146844[/C][C]-1838.92191468445[/C][/ROW]
[ROW][C]201[/C][C]77272[/C][C]71050.4963077614[/C][C]6221.50369223857[/C][/ROW]
[ROW][C]202[/C][C]49289[/C][C]54490.2617587126[/C][C]-5201.26175871258[/C][/ROW]
[ROW][C]203[/C][C]135131[/C][C]119290.561556532[/C][C]15840.4384434683[/C][/ROW]
[ROW][C]204[/C][C]108446[/C][C]98471.7766320731[/C][C]9974.22336792691[/C][/ROW]
[ROW][C]205[/C][C]89746[/C][C]119823.012280016[/C][C]-30077.0122800157[/C][/ROW]
[ROW][C]206[/C][C]44296[/C][C]55954.9890878827[/C][C]-11658.9890878827[/C][/ROW]
[ROW][C]207[/C][C]77648[/C][C]85104.368554439[/C][C]-7456.36855443904[/C][/ROW]
[ROW][C]208[/C][C]181528[/C][C]135217.29222284[/C][C]46310.7077771597[/C][/ROW]
[ROW][C]209[/C][C]134019[/C][C]110719.884811761[/C][C]23299.1151882393[/C][/ROW]
[ROW][C]210[/C][C]124064[/C][C]121574.324839246[/C][C]2489.67516075403[/C][/ROW]
[ROW][C]211[/C][C]92630[/C][C]82351.5654648782[/C][C]10278.4345351218[/C][/ROW]
[ROW][C]212[/C][C]121848[/C][C]97799.0940099159[/C][C]24048.9059900841[/C][/ROW]
[ROW][C]213[/C][C]52915[/C][C]54214.8162151495[/C][C]-1299.81621514953[/C][/ROW]
[ROW][C]214[/C][C]81872[/C][C]77641.4100981743[/C][C]4230.58990182573[/C][/ROW]
[ROW][C]215[/C][C]58981[/C][C]89352.4654849896[/C][C]-30371.4654849896[/C][/ROW]
[ROW][C]216[/C][C]53515[/C][C]61971.0457632021[/C][C]-8456.0457632021[/C][/ROW]
[ROW][C]217[/C][C]60812[/C][C]92338.559250396[/C][C]-31526.559250396[/C][/ROW]
[ROW][C]218[/C][C]56375[/C][C]49039.2235183705[/C][C]7335.77648162949[/C][/ROW]
[ROW][C]219[/C][C]65490[/C][C]63077.9129889312[/C][C]2412.08701106881[/C][/ROW]
[ROW][C]220[/C][C]80949[/C][C]52605.3062653157[/C][C]28343.6937346843[/C][/ROW]
[ROW][C]221[/C][C]76302[/C][C]93478.8487182223[/C][C]-17176.8487182223[/C][/ROW]
[ROW][C]222[/C][C]104011[/C][C]109797.187674885[/C][C]-5786.18767488478[/C][/ROW]
[ROW][C]223[/C][C]98104[/C][C]151376.091170145[/C][C]-53272.0911701453[/C][/ROW]
[ROW][C]224[/C][C]67989[/C][C]60374.3419757374[/C][C]7614.6580242626[/C][/ROW]
[ROW][C]225[/C][C]30989[/C][C]31677.0425669154[/C][C]-688.042566915445[/C][/ROW]
[ROW][C]226[/C][C]135458[/C][C]136052.254790305[/C][C]-594.254790304668[/C][/ROW]
[ROW][C]227[/C][C]73504[/C][C]55396.0510571666[/C][C]18107.9489428334[/C][/ROW]
[ROW][C]228[/C][C]63123[/C][C]87013.9866235296[/C][C]-23890.9866235296[/C][/ROW]
[ROW][C]229[/C][C]61254[/C][C]91338.981964898[/C][C]-30084.981964898[/C][/ROW]
[ROW][C]230[/C][C]74914[/C][C]113157.343074698[/C][C]-38243.3430746978[/C][/ROW]
[ROW][C]231[/C][C]31774[/C][C]44837.5661712616[/C][C]-13063.5661712616[/C][/ROW]
[ROW][C]232[/C][C]81437[/C][C]86665.029536581[/C][C]-5228.02953658105[/C][/ROW]
[ROW][C]233[/C][C]87186[/C][C]118670.570196447[/C][C]-31484.570196447[/C][/ROW]
[ROW][C]234[/C][C]50090[/C][C]58523.234889311[/C][C]-8433.23488931105[/C][/ROW]
[ROW][C]235[/C][C]65745[/C][C]96115.0312200208[/C][C]-30370.0312200208[/C][/ROW]
[ROW][C]236[/C][C]56653[/C][C]71484.5763547641[/C][C]-14831.5763547641[/C][/ROW]
[ROW][C]237[/C][C]158399[/C][C]106389.934879146[/C][C]52009.0651208545[/C][/ROW]
[ROW][C]238[/C][C]46455[/C][C]60482.8114696923[/C][C]-14027.8114696923[/C][/ROW]
[ROW][C]239[/C][C]73624[/C][C]87039.3376120406[/C][C]-13415.3376120406[/C][/ROW]
[ROW][C]240[/C][C]38395[/C][C]59373.3038984826[/C][C]-20978.3038984826[/C][/ROW]
[ROW][C]241[/C][C]91899[/C][C]80793.5605061247[/C][C]11105.4394938753[/C][/ROW]
[ROW][C]242[/C][C]139526[/C][C]137598.050806485[/C][C]1927.94919351456[/C][/ROW]
[ROW][C]243[/C][C]52164[/C][C]68789.5392604471[/C][C]-16625.5392604471[/C][/ROW]
[ROW][C]244[/C][C]51567[/C][C]57744.4233095349[/C][C]-6177.42330953488[/C][/ROW]
[ROW][C]245[/C][C]70551[/C][C]70981.5216486252[/C][C]-430.521648625175[/C][/ROW]
[ROW][C]246[/C][C]84856[/C][C]94578.7329635366[/C][C]-9722.73296353659[/C][/ROW]
[ROW][C]247[/C][C]102538[/C][C]127587.403712063[/C][C]-25049.4037120632[/C][/ROW]
[ROW][C]248[/C][C]86678[/C][C]62883.1984364146[/C][C]23794.8015635854[/C][/ROW]
[ROW][C]249[/C][C]85709[/C][C]75998.7935056115[/C][C]9710.20649438854[/C][/ROW]
[ROW][C]250[/C][C]34662[/C][C]48301.7088075266[/C][C]-13639.7088075266[/C][/ROW]
[ROW][C]251[/C][C]150580[/C][C]133861.787514214[/C][C]16718.212485786[/C][/ROW]
[ROW][C]252[/C][C]99611[/C][C]91193.5448729246[/C][C]8417.45512707541[/C][/ROW]
[ROW][C]253[/C][C]19349[/C][C]8301.61110509105[/C][C]11047.388894909[/C][/ROW]
[ROW][C]254[/C][C]99373[/C][C]96768.6396210949[/C][C]2604.36037890507[/C][/ROW]
[ROW][C]255[/C][C]86230[/C][C]107104.45398524[/C][C]-20874.4539852396[/C][/ROW]
[ROW][C]256[/C][C]30837[/C][C]30453.6044669947[/C][C]383.395533005265[/C][/ROW]
[ROW][C]257[/C][C]31706[/C][C]45611.8239341165[/C][C]-13905.8239341165[/C][/ROW]
[ROW][C]258[/C][C]89806[/C][C]80468.1057259125[/C][C]9337.89427408749[/C][/ROW]
[ROW][C]259[/C][C]62088[/C][C]51357.9173636423[/C][C]10730.0826363577[/C][/ROW]
[ROW][C]260[/C][C]40151[/C][C]34178.4110505816[/C][C]5972.58894941836[/C][/ROW]
[ROW][C]261[/C][C]27634[/C][C]45072.0336183741[/C][C]-17438.0336183741[/C][/ROW]
[ROW][C]262[/C][C]76990[/C][C]67685.5790593053[/C][C]9304.42094069465[/C][/ROW]
[ROW][C]263[/C][C]37460[/C][C]28460.207782245[/C][C]8999.79221775497[/C][/ROW]
[ROW][C]264[/C][C]54157[/C][C]64678.8547220162[/C][C]-10521.8547220162[/C][/ROW]
[ROW][C]265[/C][C]49862[/C][C]58924.5234443495[/C][C]-9062.52344434954[/C][/ROW]
[ROW][C]266[/C][C]84337[/C][C]77829.2540372987[/C][C]6507.74596270128[/C][/ROW]
[ROW][C]267[/C][C]64175[/C][C]83552.1105886964[/C][C]-19377.1105886964[/C][/ROW]
[ROW][C]268[/C][C]59382[/C][C]66142.144616646[/C][C]-6760.14461664601[/C][/ROW]
[ROW][C]269[/C][C]119308[/C][C]70555.3071156995[/C][C]48752.6928843005[/C][/ROW]
[ROW][C]270[/C][C]76702[/C][C]98982.0231535315[/C][C]-22280.0231535315[/C][/ROW]
[ROW][C]271[/C][C]103425[/C][C]108839.748381925[/C][C]-5414.74838192545[/C][/ROW]
[ROW][C]272[/C][C]70344[/C][C]63106.6254483677[/C][C]7237.37455163231[/C][/ROW]
[ROW][C]273[/C][C]43410[/C][C]40706.4919733049[/C][C]2703.50802669511[/C][/ROW]
[ROW][C]274[/C][C]104838[/C][C]100236.555273328[/C][C]4601.44472667187[/C][/ROW]
[ROW][C]275[/C][C]62215[/C][C]51917.1800579088[/C][C]10297.8199420912[/C][/ROW]
[ROW][C]276[/C][C]69304[/C][C]92046.2623877296[/C][C]-22742.2623877296[/C][/ROW]
[ROW][C]277[/C][C]53117[/C][C]37033.2283681858[/C][C]16083.7716318142[/C][/ROW]
[ROW][C]278[/C][C]19764[/C][C]9711.78231808008[/C][C]10052.2176819199[/C][/ROW]
[ROW][C]279[/C][C]86680[/C][C]91390.1849797902[/C][C]-4710.18497979021[/C][/ROW]
[ROW][C]280[/C][C]84105[/C][C]65876.1700548876[/C][C]18228.8299451124[/C][/ROW]
[ROW][C]281[/C][C]77945[/C][C]79079.4802645722[/C][C]-1134.48026457223[/C][/ROW]
[ROW][C]282[/C][C]89113[/C][C]75627.5938315336[/C][C]13485.4061684664[/C][/ROW]
[ROW][C]283[/C][C]91005[/C][C]95066.5087283259[/C][C]-4061.50872832586[/C][/ROW]
[ROW][C]284[/C][C]40248[/C][C]28991.5861685415[/C][C]11256.4138314585[/C][/ROW]
[ROW][C]285[/C][C]64187[/C][C]59636.9840486578[/C][C]4550.01595134215[/C][/ROW]
[ROW][C]286[/C][C]50857[/C][C]61181.0111250542[/C][C]-10324.0111250542[/C][/ROW]
[ROW][C]287[/C][C]56613[/C][C]55227.5460094566[/C][C]1385.45399054338[/C][/ROW]
[ROW][C]288[/C][C]62792[/C][C]61360.6192310904[/C][C]1431.38076890958[/C][/ROW]
[ROW][C]289[/C][C]72535[/C][C]73943.0763796354[/C][C]-1408.0763796354[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=186139&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=186139&T=4

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


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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1210907145716.63945859465190.3605414061
2120982114225.3685062636756.63149373703
3176508168632.5571618067875.44283819442
4179321249563.689752862-70242.6897528617
512318596793.373509337126391.6264906629
65274652572.7463678841173.253632115881
7385534347154.1179728638379.88202714
83317034711.4700679414-1541.47006794138
910164587415.019790611814229.9802093882
10149061156302.043112651-7241.04311265051
11165446146373.22739609719072.7726039028
12237213205416.54729726131796.452702739
13173326188837.85324591-15511.8532459102
14133131145797.990704663-12666.9907046633
15258873246595.87087090212277.1291290984
16180083161711.90587794718371.0941220525
17324799405167.984162652-80368.9841626518
18230964190205.91797100340758.0820289975
19236785235360.3985116711424.60148832947
20135473131685.1642534443787.83574655553
21202925202093.682238821831.317761179074
22215147205171.3933777679975.60662223251
23344297237261.245459688107035.754540312
24153935117274.33426547536660.6657345252
25132943156762.471839993-23819.4718399931
26174724268099.080736728-93375.0807367282
27174415222598.122096895-48183.1220968949
28225548239994.467131619-14446.4671316192
29223632189111.25128486334520.7487151371
30124817130824.318777561-6007.31877756099
31221698200657.20006189521040.799938105
32210767200292.35392587710474.6460741225
33170266169368.878433763897.121566237473
34260561224054.40946147436506.5905385262
358485397837.994508728-12984.994508728
36294424263072.98316491631351.0168350841
3710101168556.628134060432454.3718659396
38215641206997.1246084758643.87539152457
39325107259538.3610486665568.6389513401
4071763621.192179179843554.80782082016
41167542154362.12580367713179.8741963235
4210640873877.597118989732530.4028810103
4396560131988.511479366-35428.511479366
44265769270138.573689732-4369.57368973232
45269651293572.011241964-23921.011241964
46149112159176.221397709-10064.2213977095
47175824219343.296601693-43519.2966016926
48152871150816.2086193492054.79138065121
49111665110179.5505347621485.44946523759
50116408218526.63725378-102118.63725378
51362301315385.71440176246915.2855982383
527880095944.2612584531-17144.2612584531
53183167196807.491078625-13640.4910786247
54277965308716.260282141-30751.2602821407
55150629200625.44131382-49996.4413138202
56168809157556.82532946911252.1746705306
572418837025.0397803539-12837.0397803539
58329267272561.96097236556705.0390276354
596502967044.9760039003-2015.97600390032
60101097106873.795420419-5776.79542041871
61218946211357.7253096027588.27469039826
62244052213176.39764287730875.6023571232
63341570322610.23755636318959.7624436375
6410359793661.93469636359935.06530363654
65233328235131.269894794-1803.26989479406
66256462250447.7885790676014.21142093253
67206161181470.36712536924690.6328746308
68311473306765.9837902124707.01620978753
69235800234201.4213925371598.57860746349
70177939218831.222036112-40892.2220361121
71207176191371.27602995915804.7239700413
72196553141478.33291317255074.6670868278
73174184136266.61480385137917.3851961488
74143246160965.412034034-17719.4120340337
75187559221987.893256377-34428.8932563768
76187681206197.841856636-18516.8418566363
77119016160187.053902536-41171.0539025358
78182192197103.02016197-14911.0201619698
797356695832.8902560656-22266.8902560656
80194979184881.74186233110097.2581376693
81167488164746.3004671752741.69953282527
82143756175264.972490153-31508.9724901532
83275541229897.0071420945643.99285791
84243199208302.41857464834896.5814253519
85182999165215.37898099317783.6210190065
86135649163111.094704336-27462.094704336
87152299162985.599959855-10686.5999598549
88120221137811.375225256-17590.3752252564
89346485284483.16243564762001.8375643532
90145790151320.823113404-5530.82311340389
91193339184332.6330214889006.36697851227
928095394667.8620154491-13714.8620154491
93122774147593.936868401-24819.9368684005
94130585119222.11203147811362.8879685221
9511261191319.878166187121291.1218338129
96286468265746.02704426120721.972955739
97241066224515.70063839316550.2993616069
98148446275887.356084021-127441.356084021
99204713192045.8602483512667.1397516504
100182079192708.355183805-10629.3551838048
101140344125779.47438085914564.5256191413
102220516240814.693309781-20298.693309781
103243060191834.97791477151225.0220852295
104162765145349.23132222417415.7686777764
105182613151214.31250965531398.6874903452
106232138209588.90056881722549.0994311831
107265318291987.792261749-26669.7922617485
10885574102100.631271448-16526.6312714482
109310839285749.44367859625089.5563214039
110225060221783.9554079733276.0445920269
111232317216850.44327634515466.5567236549
112144966165705.384938911-20739.3849389106
1134328755350.0313232324-12063.0313232324
114155754161654.889475243-5900.88947524325
115164709191564.320517055-26855.3205170552
116201940230456.548659969-28516.5486599686
117235454256036.822377124-20582.8223771243
118220801171941.9742141448859.0257858602
1199946692645.41210172996820.5878982701
12092661123805.82040427-31144.8204042698
121133328138784.330028879-5456.33002887874
12261361109737.245974895-48376.2459748948
123125930149908.939228158-23978.939228158
124100750154277.783904862-53527.7839048618
125224549145154.21335755279394.7866424477
1268231661628.718516001420687.2814839986
12710201090124.150134064411885.8498659356
128101523110617.884107411-9094.88410741065
129243511229449.32368645714061.6763135431
1302293821758.6278730061179.37212699396
1314156644293.4257232347-2727.42572323471
132152474194320.343836323-41846.343836323
1336185748912.745919803812944.2540801962
13499923160605.577536384-60682.5775363836
135132487148463.439615438-15976.4396154384
136317394264792.4584818652601.54151814
1372105417795.69501260293258.30498739705
138209641171325.7990007438315.2009992598
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151272458242661.62387225529796.3761277445
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160229242240733.094477284-11491.0944772845
161351619330033.68345057421585.3165494257
1628420794207.6156868492-10000.6156868492
163120445132941.968355587-12496.9683555867
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165131069164111.179171998-33042.1791719978
166204271168421.35669679835849.6433032023
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170250047161530.20669378388516.7933062175
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172195838193547.1226618362290.87733816366
173173260171090.5846837832169.41531621715
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18281240137193.112640552-55953.1126405521
183146885848.611196067158839.38880393285
184181633163309.08565073718323.9143492633
185271856252726.7823001619129.2176998403
18671993620.374746336653578.62525366335
1874666045330.15200241881329.84799758125
18817547834.7332502741716712.2667497258
189133368125044.3766519188323.62334808201
1909522797838.0783898908-2611.07838989084
191152601128050.09259826124550.9074017389
19298146100870.001945169-2724.00194516891
1937961997164.4615367616-17545.4615367616
1945919465742.2233651125-6548.22336511246
195139942135378.5871091824563.41289081825
196118612113780.0392287234831.96077127672
1977288088778.0480907985-15898.0480907985
1986547553387.330018817212087.6699811828
19999643129981.10524498-30338.1052449804
2007196573803.9219146844-1838.92191468445
2017727271050.49630776146221.50369223857
2024928954490.2617587126-5201.26175871258
203135131119290.56155653215840.4384434683
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20589746119823.012280016-30077.0122800157
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208181528135217.2922228446310.7077771597
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210124064121574.3248392462489.67516075403
2119263082351.565464878210278.4345351218
21212184897799.094009915924048.9059900841
2135291554214.8162151495-1299.81621514953
2148187277641.41009817434230.58990182573
2155898189352.4654849896-30371.4654849896
2165351561971.0457632021-8456.0457632021
2176081292338.559250396-31526.559250396
2185637549039.22351837057335.77648162949
2196549063077.91298893122412.08701106881
2208094952605.306265315728343.6937346843
2217630293478.8487182223-17176.8487182223
222104011109797.187674885-5786.18767488478
22398104151376.091170145-53272.0911701453
2246798960374.34197573747614.6580242626
2253098931677.0425669154-688.042566915445
226135458136052.254790305-594.254790304668
2277350455396.051057166618107.9489428334
2286312387013.9866235296-23890.9866235296
2296125491338.981964898-30084.981964898
23074914113157.343074698-38243.3430746978
2313177444837.5661712616-13063.5661712616
2328143786665.029536581-5228.02953658105
23387186118670.570196447-31484.570196447
2345009058523.234889311-8433.23488931105
2356574596115.0312200208-30370.0312200208
2365665371484.5763547641-14831.5763547641
237158399106389.93487914652009.0651208545
2384645560482.8114696923-14027.8114696923
2397362487039.3376120406-13415.3376120406
2403839559373.3038984826-20978.3038984826
2419189980793.560506124711105.4394938753
242139526137598.0508064851927.94919351456
2435216468789.5392604471-16625.5392604471
2445156757744.4233095349-6177.42330953488
2457055170981.5216486252-430.521648625175
2468485694578.7329635366-9722.73296353659
247102538127587.403712063-25049.4037120632
2488667862883.198436414623794.8015635854
2498570975998.79350561159710.20649438854
2503466248301.7088075266-13639.7088075266
251150580133861.78751421416718.212485786
2529961191193.54487292468417.45512707541
253193498301.6111050910511047.388894909
2549937396768.63962109492604.36037890507
25586230107104.45398524-20874.4539852396
2563083730453.6044669947383.395533005265
2573170645611.8239341165-13905.8239341165
2588980680468.10572591259337.89427408749
2596208851357.917363642310730.0826363577
2604015134178.41105058165972.58894941836
2612763445072.0336183741-17438.0336183741
2627699067685.57905930539304.42094069465
2633746028460.2077822458999.79221775497
2645415764678.8547220162-10521.8547220162
2654986258924.5234443495-9062.52344434954
2668433777829.25403729876507.74596270128
2676417583552.1105886964-19377.1105886964
2685938266142.144616646-6760.14461664601
26911930870555.307115699548752.6928843005
2707670298982.0231535315-22280.0231535315
271103425108839.748381925-5414.74838192545
2727034463106.62544836777237.37455163231
2734341040706.49197330492703.50802669511
274104838100236.5552733284601.44472667187
2756221551917.180057908810297.8199420912
2766930492046.2623877296-22742.2623877296
2775311737033.228368185816083.7716318142
278197649711.7823180800810052.2176819199
2798668091390.1849797902-4710.18497979021
2808410565876.170054887618228.8299451124
2817794579079.4802645722-1134.48026457223
2828911375627.593831533613485.4061684664
2839100595066.5087283259-4061.50872832586
2844024828991.586168541511256.4138314585
2856418759636.98404865784550.01595134215
2865085761181.0111250542-10324.0111250542
2875661355227.54600945661385.45399054338
2886279261360.61923109041431.38076890958
2897253573943.0763796354-1408.0763796354






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.3529043108416310.7058086216832620.647095689158369
120.329712200676150.65942440135230.67028779932385
130.6539799632336030.6920400735327940.346020036766397
140.558154807529580.883690384940840.44184519247042
150.442957262603790.8859145252075810.55704273739621
160.3440376016992030.6880752033984070.655962398300797
170.8868398102729690.2263203794540630.113160189727031
180.8489733004012320.3020533991975360.151026699598768
190.8402954661400640.3194090677198720.159704533859936
200.8867789065015320.2264421869969360.113221093498468
210.8637592938039890.2724814123920220.136240706196011
220.8235102119078370.3529795761843260.176489788092163
230.9958024841746770.008395031650645090.00419751582532254
240.9942086525848050.01158269483039020.00579134741519509
250.9942055785836540.01158884283269150.00579442141634577
260.9987586751604860.002482649679027790.00124132483951389
270.9993324719934690.001335056013062910.000667528006531454
280.9989288023530350.002142395293929220.00107119764696461
290.9988858946829930.002228210634014630.00111410531700732
300.998862481659240.002275036681520160.00113751834076008
310.9987059355157150.002588128968570430.00129406448428522
320.9980385478968310.00392290420633790.00196145210316895
330.9971310707833440.005737858433311660.00286892921665583
340.9970886795474360.005822640905127090.00291132045256354
350.9972922356014690.005415528797062870.00270776439853143
360.9965522272481160.006895545503767360.00344777275188368
370.995365589873240.009268820253520270.00463441012676013
380.9936015204809490.01279695903810210.00639847951905106
390.9977401231165140.004519753766972530.00225987688348626
400.9980521583918240.003895683216351240.00194784160817562
410.9972403925825260.0055192148349480.002759607417474
420.9963968493415560.007206301316887850.00360315065844392
430.9954759309691040.009048138061792610.0045240690308963
440.9936441562663150.01271168746736990.00635584373368494
450.9949761472194060.01004770556118720.00502385278059361
460.9931004964371840.01379900712563160.00689950356281578
470.9931741283576070.01365174328478510.00682587164239257
480.9909291234973550.01814175300529040.00907087650264522
490.9881958492132630.02360830157347440.0118041507867372
500.9995453695941320.0009092608117352360.000454630405867618
510.999971747350935.65052981402606e-052.82526490701303e-05
520.9999613489566797.73020866416109e-053.86510433208055e-05
530.9999463436126770.0001073127746465085.36563873232538e-05
540.9999389089156160.0001221821687680936.10910843840465e-05
550.9999775042224284.49915551447439e-052.2495777572372e-05
560.9999657092018716.85815962587144e-053.42907981293572e-05
570.9999606724036097.86551927816111e-053.93275963908055e-05
580.9999869917253632.60165492741516e-051.30082746370758e-05
590.999979849925694.03001486195988e-052.01500743097994e-05
600.9999716697446015.66605107971802e-052.83302553985901e-05
610.9999617662334517.64675330988707e-053.82337665494353e-05
620.9999633402742397.33194515209014e-053.66597257604507e-05
630.9999542029031919.15941936170928e-054.57970968085464e-05
640.9999325960936070.0001348078127858316.74039063929154e-05
650.9999123439764840.000175312047032338.76560235161648e-05
660.9998722818693440.0002554362613129320.000127718130656466
670.9998446905886140.0003106188227713630.000155309411385682
680.9997752883498950.0004494233002106710.000224711650105336
690.999703089737180.0005938205256405860.000296910262820293
700.99974297233690.0005140553261991260.000257027663099563
710.9996881402212440.0006237195575127860.000311859778756393
720.9998741936833460.0002516126333077380.000125806316653869
730.9998803376868350.0002393246263297840.000119662313164892
740.9998688296186330.0002623407627337710.000131170381366885
750.9998860640226760.0002278719546473240.000113935977323662
760.9998768261997270.0002463476005458570.000123173800272928
770.999938401695240.0001231966095207026.1598304760351e-05
780.999917378090030.0001652438199392718.26219099696355e-05
790.9999052214816390.0001895570367213679.47785183606837e-05
800.9998695065374980.0002609869250040170.000130493462502008
810.9998135436160120.0003729127679753890.000186456383987694
820.9998383910564870.0003232178870264620.000161608943513231
830.9999017551579280.0001964896841439439.82448420719715e-05
840.9999117792986540.0001764414026924538.82207013462265e-05
850.9998852545373370.0002294909253250070.000114745462662503
860.9998890720410760.0002218559178482270.000110927958924113
870.9998503783531940.0002992432936125010.00014962164680625
880.9998182565053230.0003634869893548610.00018174349467743
890.9999472434576040.0001055130847920885.27565423960442e-05
900.9999263200924970.0001473598150049767.3679907502488e-05
910.9998982605022150.0002034789955706440.000101739497785322
920.9998706299408860.0002587401182285080.000129370059114254
930.9998554677553310.000289064489338610.000144532244669305
940.9998070874785840.0003858250428316140.000192912521415807
950.9997674828922370.0004650342155261620.000232517107763081
960.9997422616055480.0005154767889045470.000257738394452274
970.999674877470640.0006502450587197390.00032512252935987
980.9999997991588824.01682235927374e-072.00841117963687e-07
990.9999997014472525.97105495043351e-072.98552747521676e-07
1000.9999995646016158.70796770846983e-074.35398385423491e-07
1010.9999993836019981.23279600346619e-066.16398001733096e-07
1020.9999992681517031.46369659365205e-067.31848296826027e-07
1030.9999997422424025.15515196835612e-072.57757598417806e-07
1040.9999996484429317.03114137667061e-073.5155706883353e-07
1050.999999674572016.50855979923917e-073.25427989961958e-07
1060.9999996125894037.74821193899965e-073.87410596949983e-07
1070.9999995774306958.4513861064182e-074.2256930532091e-07
1080.9999994686637821.06267243684985e-065.31336218424924e-07
1090.9999994180514971.16389700696016e-065.8194850348008e-07
1100.9999991043277161.79134456856466e-068.95672284282332e-07
1110.9999988036176292.39276474134899e-061.19638237067449e-06
1120.9999986042678442.7914643117497e-061.39573215587485e-06
1130.9999980873444933.82531101450645e-061.91265550725322e-06
1140.9999971964240795.60715184181425e-062.80357592090713e-06
1150.9999971454012885.70919742441757e-062.85459871220878e-06
1160.9999971043099145.79138017113681e-062.8956900855684e-06
1170.9999966260369616.74792607692512e-063.37396303846256e-06
1180.9999984895095393.02098092117777e-061.51049046058888e-06
1190.9999977240805524.55183889584769e-062.27591944792384e-06
1200.9999979069131194.18617376247665e-062.09308688123833e-06
1210.9999969259530756.14809384970942e-063.07404692485471e-06
1220.9999988046475532.39070489348144e-061.19535244674072e-06
1230.9999985750215452.84995691062138e-061.42497845531069e-06
1240.9999995599873318.80025337228693e-074.40012668614347e-07
1250.9999999830437053.39125907644577e-081.69562953822288e-08
1260.9999999793300554.13398904103334e-082.06699452051667e-08
1270.9999999701096595.97806817374529e-082.98903408687264e-08
1280.9999999544376539.11246945165768e-084.55623472582884e-08
1290.9999999347414761.30517048083655e-076.52585240418273e-08
1300.9999998960137242.07972551206417e-071.03986275603209e-07
1310.9999998383480263.23303948805416e-071.61651974402708e-07
1320.9999999263586611.47282678581639e-077.36413392908195e-08
1330.9999998961217682.07756464220312e-071.03878232110156e-07
1340.9999999851758452.96483093157664e-081.48241546578832e-08
1350.9999999796384384.07231235539857e-082.03615617769929e-08
1360.9999999933329341.3334132892184e-086.66706644609201e-09
1370.9999999890069912.1986018045887e-081.09930090229435e-08
1380.9999999938847541.22304927394141e-086.11524636970703e-09
1390.9999999932456471.35087051936483e-086.75435259682413e-09
1400.9999999898147882.03704233104865e-081.01852116552432e-08
1410.9999999886968662.26062674426328e-081.13031337213164e-08
1420.9999999834689263.30621486890261e-081.6531074344513e-08
1430.9999999749609135.00781743874958e-082.50390871937479e-08
1440.9999999624098117.51803778556565e-083.75901889278283e-08
1450.999999949201761.0159647914584e-075.079823957292e-08
1460.9999999517019279.65961457091722e-084.82980728545861e-08
1470.9999999298157961.40368408895516e-077.01842044477579e-08
1480.9999998983787022.03242595707029e-071.01621297853515e-07
1490.9999998611352642.77729471130906e-071.38864735565453e-07
1500.999999782848664.34302679226652e-072.17151339613326e-07
1510.9999997912932984.17413403852045e-072.08706701926023e-07
1520.9999997779900424.44019915137658e-072.22009957568829e-07
1530.9999997179033435.6419331484946e-072.8209665742473e-07
1540.9999996333865147.33226971542424e-073.66613485771212e-07
1550.9999995623423048.75315391585041e-074.37657695792521e-07
1560.9999998593624792.81275042789463e-071.40637521394732e-07
1570.9999998897918072.20416386822174e-071.10208193411087e-07
1580.999999897731972.04536059445951e-071.02268029722975e-07
1590.9999998763474732.47305053032119e-071.23652526516059e-07
1600.9999998101741673.79651666448828e-071.89825833224414e-07
1610.9999998033481963.93303608821665e-071.96651804410833e-07
1620.9999997212844985.57431003952853e-072.78715501976426e-07
1630.9999996387934667.22413067588513e-073.61206533794257e-07
1640.9999994729129961.05417400833454e-065.27087004167268e-07
1650.999999518206579.63586860074382e-074.81793430037191e-07
1660.9999998233207953.53358409776499e-071.7667920488825e-07
1670.9999997385302215.22939557749032e-072.61469778874516e-07
1680.9999996035673667.92865267354747e-073.96432633677374e-07
1690.9999995207238869.58552227658069e-074.79276113829035e-07
1700.9999999970350655.92986975021455e-092.96493487510727e-09
1710.9999999949927641.00144710063811e-085.00723550319054e-09
1720.9999999929360781.4127843457517e-087.06392172875852e-09
1730.9999999879603192.40793621191958e-081.20396810595979e-08
1740.9999999945269911.09460183568902e-085.47300917844509e-09
1750.9999999997629584.74084797009462e-102.37042398504731e-10
1760.9999999996016727.9665514529534e-103.9832757264767e-10
1770.9999999996246797.50642482705125e-103.75321241352563e-10
1780.999999999377541.24492029639338e-096.22460148196691e-10
1790.9999999988832952.23340911525961e-091.11670455762981e-09
1800.9999999995826368.3472886545797e-104.17364432728985e-10
1810.9999999995193669.61268070194521e-104.80634035097261e-10
1820.9999999999614877.70252864103562e-113.85126432051781e-11
1830.9999999999284891.43021795000595e-107.15108975002974e-11
1840.9999999999220281.55944552118719e-107.79722760593596e-11
1850.9999999999491811.01637404385138e-105.0818702192569e-11
1860.9999999999078021.84395272828383e-109.21976364141917e-11
1870.9999999998337013.32598638532598e-101.66299319266299e-10
1880.9999999997098315.80338637237881e-102.9016931861894e-10
1890.9999999995849248.30151645286927e-104.15075822643463e-10
1900.9999999992678561.46428756069878e-097.3214378034939e-10
1910.9999999996514696.9706130926733e-103.48530654633665e-10
1920.9999999993536791.29264232896838e-096.46321164484188e-10
1930.9999999990037131.99257395021645e-099.96286975108225e-10
1940.9999999983852353.22952981610203e-091.61476490805102e-09
1950.9999999976237314.75253882317412e-092.37626941158706e-09
1960.9999999963148077.37038572067098e-093.68519286033549e-09
1970.9999999948153021.03693954657697e-085.18469773288486e-09
1980.9999999920372141.592557293502e-087.96278646751001e-09
1990.9999999939943791.20112425584755e-086.00562127923773e-09
2000.9999999890697412.18605189078094e-081.09302594539047e-08
2010.9999999807594613.8481078740212e-081.9240539370106e-08
2020.9999999657654426.8469115478003e-083.42345577390015e-08
2030.9999999542879089.14241845027133e-084.57120922513567e-08
2040.9999999309207111.38158577034269e-076.90792885171346e-08
2050.9999999231589741.53682052685778e-077.68410263428889e-08
2060.999999882491542.3501692076436e-071.1750846038218e-07
2070.9999997991896874.01620626151275e-072.00810313075638e-07
2080.9999999745526195.08947626787282e-082.54473813393641e-08
2090.9999999823472513.53054986541059e-081.7652749327053e-08
2100.999999976851634.62967398439277e-082.31483699219638e-08
2110.9999999679044396.41911210740699e-083.20955605370349e-08
2120.99999998446333.1073400387283e-081.55367001936415e-08
2130.9999999709325145.81349710064109e-082.90674855032055e-08
2140.9999999493810761.01237848042664e-075.06189240213322e-08
2150.9999999512834699.74330613604783e-084.87165306802392e-08
2160.9999999213999311.57200137043149e-077.86000685215744e-08
2170.9999999451546011.09690797311118e-075.4845398655559e-08
2180.999999899166812.01666379126896e-071.00833189563448e-07
2190.9999998247168563.50566287220162e-071.75283143610081e-07
2200.9999998637973322.72405336416726e-071.36202668208363e-07
2210.999999770039834.59920339083493e-072.29960169541746e-07
2220.9999996453968367.09206327510964e-073.54603163755482e-07
2230.9999998833210192.33357961550333e-071.16678980775167e-07
2240.999999817429393.65141220327437e-071.82570610163718e-07
2250.9999996615835966.76832808360998e-073.38416404180499e-07
2260.9999993826981231.23460375301999e-066.17301876509993e-07
2270.9999990718265951.85634681102662e-069.28173405513312e-07
2280.9999988614492642.27710147166074e-061.13855073583037e-06
2290.9999990827134281.83457314417008e-069.17286572085039e-07
2300.9999994114838911.17703221773288e-065.88516108866441e-07
2310.9999992219611971.55607760574392e-067.78038802871961e-07
2320.9999985603414342.87931713146538e-061.43965856573269e-06
2330.9999992697453961.4605092077828e-067.30254603891401e-07
2340.9999988072528482.38549430331228e-061.19274715165614e-06
2350.9999993000067181.39998656438665e-066.99993282193325e-07
2360.999998812537422.37492516095075e-061.18746258047538e-06
2370.9999999877797242.44405520526981e-081.2220276026349e-08
2380.9999999805619883.88760231107459e-081.94380115553729e-08
2390.9999999760773184.78453644222346e-082.39226822111173e-08
2400.9999999828466043.43067916290364e-081.71533958145182e-08
2410.9999999690729896.18540211099144e-083.09270105549572e-08
2420.9999999453213421.09357315861415e-075.46786579307075e-08
2430.9999999408918241.18216352943241e-075.91081764716206e-08
2440.9999998756755162.48648968134117e-071.24324484067058e-07
2450.9999997349038475.301923062955e-072.6509615314775e-07
2460.9999994197869931.1604260138589e-065.80213006929448e-07
2470.9999991966370421.60672591513031e-068.03362957565155e-07
2480.9999992801921891.43961562185793e-067.19807810928967e-07
2490.9999984739291163.05214176759588e-061.52607088379794e-06
2500.9999977006131964.59877360706576e-062.29938680353288e-06
2510.9999970822774115.83544517846309e-062.91772258923154e-06
2520.9999943320668851.13358662309016e-055.66793311545079e-06
2530.9999879391642592.41216714811154e-051.20608357405577e-05
2540.9999755750502014.88498995973604e-052.44249497986802e-05
2550.9999645958300867.08083398277995e-053.54041699138998e-05
2560.9999345831147420.0001308337705159186.54168852579592e-05
2570.9999373361958430.0001253276083138916.26638041569456e-05
2580.9998846843723460.000230631255307770.000115315627653885
2590.9998077412401830.0003845175196347120.000192258759817356
2600.9996087168618830.0007825662762332760.000391283138116638
2610.9997061013416840.0005877973166316360.000293898658315818
2620.9994330691212680.001133861757463190.000566930878731596
2630.998854364911250.002291270177499750.00114563508874987
2640.9983133289839320.003373342032135150.00168667101606757
2650.9975982943955830.004803411208833970.00240170560441698
2660.9953958200127480.009208359974503150.00460417998725158
2670.9955079766547220.008984046690555360.00449202334527768
2680.9950637490538290.009872501892341360.00493625094617068
2690.999908575363170.0001828492736593589.14246368296788e-05
2700.9999944519423751.10961152493317e-055.54805762466587e-06
2710.9999802730442063.9453911588914e-051.9726955794457e-05
2720.999926537642820.0001469247143606157.34623571803076e-05
2730.999867204341910.0002655913161794040.000132795658089702
2740.9994807873083430.001038425383313940.000519212691656971
2750.9985464481816010.002907103636798340.00145355181839917
2760.997138476104650.005723047790700220.00286152389535011
2770.9909825756971850.01803484860563090.00901742430281545
2780.9711324032541860.05773519349162780.0288675967458139

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
11 & 0.352904310841631 & 0.705808621683262 & 0.647095689158369 \tabularnewline
12 & 0.32971220067615 & 0.6594244013523 & 0.67028779932385 \tabularnewline
13 & 0.653979963233603 & 0.692040073532794 & 0.346020036766397 \tabularnewline
14 & 0.55815480752958 & 0.88369038494084 & 0.44184519247042 \tabularnewline
15 & 0.44295726260379 & 0.885914525207581 & 0.55704273739621 \tabularnewline
16 & 0.344037601699203 & 0.688075203398407 & 0.655962398300797 \tabularnewline
17 & 0.886839810272969 & 0.226320379454063 & 0.113160189727031 \tabularnewline
18 & 0.848973300401232 & 0.302053399197536 & 0.151026699598768 \tabularnewline
19 & 0.840295466140064 & 0.319409067719872 & 0.159704533859936 \tabularnewline
20 & 0.886778906501532 & 0.226442186996936 & 0.113221093498468 \tabularnewline
21 & 0.863759293803989 & 0.272481412392022 & 0.136240706196011 \tabularnewline
22 & 0.823510211907837 & 0.352979576184326 & 0.176489788092163 \tabularnewline
23 & 0.995802484174677 & 0.00839503165064509 & 0.00419751582532254 \tabularnewline
24 & 0.994208652584805 & 0.0115826948303902 & 0.00579134741519509 \tabularnewline
25 & 0.994205578583654 & 0.0115888428326915 & 0.00579442141634577 \tabularnewline
26 & 0.998758675160486 & 0.00248264967902779 & 0.00124132483951389 \tabularnewline
27 & 0.999332471993469 & 0.00133505601306291 & 0.000667528006531454 \tabularnewline
28 & 0.998928802353035 & 0.00214239529392922 & 0.00107119764696461 \tabularnewline
29 & 0.998885894682993 & 0.00222821063401463 & 0.00111410531700732 \tabularnewline
30 & 0.99886248165924 & 0.00227503668152016 & 0.00113751834076008 \tabularnewline
31 & 0.998705935515715 & 0.00258812896857043 & 0.00129406448428522 \tabularnewline
32 & 0.998038547896831 & 0.0039229042063379 & 0.00196145210316895 \tabularnewline
33 & 0.997131070783344 & 0.00573785843331166 & 0.00286892921665583 \tabularnewline
34 & 0.997088679547436 & 0.00582264090512709 & 0.00291132045256354 \tabularnewline
35 & 0.997292235601469 & 0.00541552879706287 & 0.00270776439853143 \tabularnewline
36 & 0.996552227248116 & 0.00689554550376736 & 0.00344777275188368 \tabularnewline
37 & 0.99536558987324 & 0.00926882025352027 & 0.00463441012676013 \tabularnewline
38 & 0.993601520480949 & 0.0127969590381021 & 0.00639847951905106 \tabularnewline
39 & 0.997740123116514 & 0.00451975376697253 & 0.00225987688348626 \tabularnewline
40 & 0.998052158391824 & 0.00389568321635124 & 0.00194784160817562 \tabularnewline
41 & 0.997240392582526 & 0.005519214834948 & 0.002759607417474 \tabularnewline
42 & 0.996396849341556 & 0.00720630131688785 & 0.00360315065844392 \tabularnewline
43 & 0.995475930969104 & 0.00904813806179261 & 0.0045240690308963 \tabularnewline
44 & 0.993644156266315 & 0.0127116874673699 & 0.00635584373368494 \tabularnewline
45 & 0.994976147219406 & 0.0100477055611872 & 0.00502385278059361 \tabularnewline
46 & 0.993100496437184 & 0.0137990071256316 & 0.00689950356281578 \tabularnewline
47 & 0.993174128357607 & 0.0136517432847851 & 0.00682587164239257 \tabularnewline
48 & 0.990929123497355 & 0.0181417530052904 & 0.00907087650264522 \tabularnewline
49 & 0.988195849213263 & 0.0236083015734744 & 0.0118041507867372 \tabularnewline
50 & 0.999545369594132 & 0.000909260811735236 & 0.000454630405867618 \tabularnewline
51 & 0.99997174735093 & 5.65052981402606e-05 & 2.82526490701303e-05 \tabularnewline
52 & 0.999961348956679 & 7.73020866416109e-05 & 3.86510433208055e-05 \tabularnewline
53 & 0.999946343612677 & 0.000107312774646508 & 5.36563873232538e-05 \tabularnewline
54 & 0.999938908915616 & 0.000122182168768093 & 6.10910843840465e-05 \tabularnewline
55 & 0.999977504222428 & 4.49915551447439e-05 & 2.2495777572372e-05 \tabularnewline
56 & 0.999965709201871 & 6.85815962587144e-05 & 3.42907981293572e-05 \tabularnewline
57 & 0.999960672403609 & 7.86551927816111e-05 & 3.93275963908055e-05 \tabularnewline
58 & 0.999986991725363 & 2.60165492741516e-05 & 1.30082746370758e-05 \tabularnewline
59 & 0.99997984992569 & 4.03001486195988e-05 & 2.01500743097994e-05 \tabularnewline
60 & 0.999971669744601 & 5.66605107971802e-05 & 2.83302553985901e-05 \tabularnewline
61 & 0.999961766233451 & 7.64675330988707e-05 & 3.82337665494353e-05 \tabularnewline
62 & 0.999963340274239 & 7.33194515209014e-05 & 3.66597257604507e-05 \tabularnewline
63 & 0.999954202903191 & 9.15941936170928e-05 & 4.57970968085464e-05 \tabularnewline
64 & 0.999932596093607 & 0.000134807812785831 & 6.74039063929154e-05 \tabularnewline
65 & 0.999912343976484 & 0.00017531204703233 & 8.76560235161648e-05 \tabularnewline
66 & 0.999872281869344 & 0.000255436261312932 & 0.000127718130656466 \tabularnewline
67 & 0.999844690588614 & 0.000310618822771363 & 0.000155309411385682 \tabularnewline
68 & 0.999775288349895 & 0.000449423300210671 & 0.000224711650105336 \tabularnewline
69 & 0.99970308973718 & 0.000593820525640586 & 0.000296910262820293 \tabularnewline
70 & 0.9997429723369 & 0.000514055326199126 & 0.000257027663099563 \tabularnewline
71 & 0.999688140221244 & 0.000623719557512786 & 0.000311859778756393 \tabularnewline
72 & 0.999874193683346 & 0.000251612633307738 & 0.000125806316653869 \tabularnewline
73 & 0.999880337686835 & 0.000239324626329784 & 0.000119662313164892 \tabularnewline
74 & 0.999868829618633 & 0.000262340762733771 & 0.000131170381366885 \tabularnewline
75 & 0.999886064022676 & 0.000227871954647324 & 0.000113935977323662 \tabularnewline
76 & 0.999876826199727 & 0.000246347600545857 & 0.000123173800272928 \tabularnewline
77 & 0.99993840169524 & 0.000123196609520702 & 6.1598304760351e-05 \tabularnewline
78 & 0.99991737809003 & 0.000165243819939271 & 8.26219099696355e-05 \tabularnewline
79 & 0.999905221481639 & 0.000189557036721367 & 9.47785183606837e-05 \tabularnewline
80 & 0.999869506537498 & 0.000260986925004017 & 0.000130493462502008 \tabularnewline
81 & 0.999813543616012 & 0.000372912767975389 & 0.000186456383987694 \tabularnewline
82 & 0.999838391056487 & 0.000323217887026462 & 0.000161608943513231 \tabularnewline
83 & 0.999901755157928 & 0.000196489684143943 & 9.82448420719715e-05 \tabularnewline
84 & 0.999911779298654 & 0.000176441402692453 & 8.82207013462265e-05 \tabularnewline
85 & 0.999885254537337 & 0.000229490925325007 & 0.000114745462662503 \tabularnewline
86 & 0.999889072041076 & 0.000221855917848227 & 0.000110927958924113 \tabularnewline
87 & 0.999850378353194 & 0.000299243293612501 & 0.00014962164680625 \tabularnewline
88 & 0.999818256505323 & 0.000363486989354861 & 0.00018174349467743 \tabularnewline
89 & 0.999947243457604 & 0.000105513084792088 & 5.27565423960442e-05 \tabularnewline
90 & 0.999926320092497 & 0.000147359815004976 & 7.3679907502488e-05 \tabularnewline
91 & 0.999898260502215 & 0.000203478995570644 & 0.000101739497785322 \tabularnewline
92 & 0.999870629940886 & 0.000258740118228508 & 0.000129370059114254 \tabularnewline
93 & 0.999855467755331 & 0.00028906448933861 & 0.000144532244669305 \tabularnewline
94 & 0.999807087478584 & 0.000385825042831614 & 0.000192912521415807 \tabularnewline
95 & 0.999767482892237 & 0.000465034215526162 & 0.000232517107763081 \tabularnewline
96 & 0.999742261605548 & 0.000515476788904547 & 0.000257738394452274 \tabularnewline
97 & 0.99967487747064 & 0.000650245058719739 & 0.00032512252935987 \tabularnewline
98 & 0.999999799158882 & 4.01682235927374e-07 & 2.00841117963687e-07 \tabularnewline
99 & 0.999999701447252 & 5.97105495043351e-07 & 2.98552747521676e-07 \tabularnewline
100 & 0.999999564601615 & 8.70796770846983e-07 & 4.35398385423491e-07 \tabularnewline
101 & 0.999999383601998 & 1.23279600346619e-06 & 6.16398001733096e-07 \tabularnewline
102 & 0.999999268151703 & 1.46369659365205e-06 & 7.31848296826027e-07 \tabularnewline
103 & 0.999999742242402 & 5.15515196835612e-07 & 2.57757598417806e-07 \tabularnewline
104 & 0.999999648442931 & 7.03114137667061e-07 & 3.5155706883353e-07 \tabularnewline
105 & 0.99999967457201 & 6.50855979923917e-07 & 3.25427989961958e-07 \tabularnewline
106 & 0.999999612589403 & 7.74821193899965e-07 & 3.87410596949983e-07 \tabularnewline
107 & 0.999999577430695 & 8.4513861064182e-07 & 4.2256930532091e-07 \tabularnewline
108 & 0.999999468663782 & 1.06267243684985e-06 & 5.31336218424924e-07 \tabularnewline
109 & 0.999999418051497 & 1.16389700696016e-06 & 5.8194850348008e-07 \tabularnewline
110 & 0.999999104327716 & 1.79134456856466e-06 & 8.95672284282332e-07 \tabularnewline
111 & 0.999998803617629 & 2.39276474134899e-06 & 1.19638237067449e-06 \tabularnewline
112 & 0.999998604267844 & 2.7914643117497e-06 & 1.39573215587485e-06 \tabularnewline
113 & 0.999998087344493 & 3.82531101450645e-06 & 1.91265550725322e-06 \tabularnewline
114 & 0.999997196424079 & 5.60715184181425e-06 & 2.80357592090713e-06 \tabularnewline
115 & 0.999997145401288 & 5.70919742441757e-06 & 2.85459871220878e-06 \tabularnewline
116 & 0.999997104309914 & 5.79138017113681e-06 & 2.8956900855684e-06 \tabularnewline
117 & 0.999996626036961 & 6.74792607692512e-06 & 3.37396303846256e-06 \tabularnewline
118 & 0.999998489509539 & 3.02098092117777e-06 & 1.51049046058888e-06 \tabularnewline
119 & 0.999997724080552 & 4.55183889584769e-06 & 2.27591944792384e-06 \tabularnewline
120 & 0.999997906913119 & 4.18617376247665e-06 & 2.09308688123833e-06 \tabularnewline
121 & 0.999996925953075 & 6.14809384970942e-06 & 3.07404692485471e-06 \tabularnewline
122 & 0.999998804647553 & 2.39070489348144e-06 & 1.19535244674072e-06 \tabularnewline
123 & 0.999998575021545 & 2.84995691062138e-06 & 1.42497845531069e-06 \tabularnewline
124 & 0.999999559987331 & 8.80025337228693e-07 & 4.40012668614347e-07 \tabularnewline
125 & 0.999999983043705 & 3.39125907644577e-08 & 1.69562953822288e-08 \tabularnewline
126 & 0.999999979330055 & 4.13398904103334e-08 & 2.06699452051667e-08 \tabularnewline
127 & 0.999999970109659 & 5.97806817374529e-08 & 2.98903408687264e-08 \tabularnewline
128 & 0.999999954437653 & 9.11246945165768e-08 & 4.55623472582884e-08 \tabularnewline
129 & 0.999999934741476 & 1.30517048083655e-07 & 6.52585240418273e-08 \tabularnewline
130 & 0.999999896013724 & 2.07972551206417e-07 & 1.03986275603209e-07 \tabularnewline
131 & 0.999999838348026 & 3.23303948805416e-07 & 1.61651974402708e-07 \tabularnewline
132 & 0.999999926358661 & 1.47282678581639e-07 & 7.36413392908195e-08 \tabularnewline
133 & 0.999999896121768 & 2.07756464220312e-07 & 1.03878232110156e-07 \tabularnewline
134 & 0.999999985175845 & 2.96483093157664e-08 & 1.48241546578832e-08 \tabularnewline
135 & 0.999999979638438 & 4.07231235539857e-08 & 2.03615617769929e-08 \tabularnewline
136 & 0.999999993332934 & 1.3334132892184e-08 & 6.66706644609201e-09 \tabularnewline
137 & 0.999999989006991 & 2.1986018045887e-08 & 1.09930090229435e-08 \tabularnewline
138 & 0.999999993884754 & 1.22304927394141e-08 & 6.11524636970703e-09 \tabularnewline
139 & 0.999999993245647 & 1.35087051936483e-08 & 6.75435259682413e-09 \tabularnewline
140 & 0.999999989814788 & 2.03704233104865e-08 & 1.01852116552432e-08 \tabularnewline
141 & 0.999999988696866 & 2.26062674426328e-08 & 1.13031337213164e-08 \tabularnewline
142 & 0.999999983468926 & 3.30621486890261e-08 & 1.6531074344513e-08 \tabularnewline
143 & 0.999999974960913 & 5.00781743874958e-08 & 2.50390871937479e-08 \tabularnewline
144 & 0.999999962409811 & 7.51803778556565e-08 & 3.75901889278283e-08 \tabularnewline
145 & 0.99999994920176 & 1.0159647914584e-07 & 5.079823957292e-08 \tabularnewline
146 & 0.999999951701927 & 9.65961457091722e-08 & 4.82980728545861e-08 \tabularnewline
147 & 0.999999929815796 & 1.40368408895516e-07 & 7.01842044477579e-08 \tabularnewline
148 & 0.999999898378702 & 2.03242595707029e-07 & 1.01621297853515e-07 \tabularnewline
149 & 0.999999861135264 & 2.77729471130906e-07 & 1.38864735565453e-07 \tabularnewline
150 & 0.99999978284866 & 4.34302679226652e-07 & 2.17151339613326e-07 \tabularnewline
151 & 0.999999791293298 & 4.17413403852045e-07 & 2.08706701926023e-07 \tabularnewline
152 & 0.999999777990042 & 4.44019915137658e-07 & 2.22009957568829e-07 \tabularnewline
153 & 0.999999717903343 & 5.6419331484946e-07 & 2.8209665742473e-07 \tabularnewline
154 & 0.999999633386514 & 7.33226971542424e-07 & 3.66613485771212e-07 \tabularnewline
155 & 0.999999562342304 & 8.75315391585041e-07 & 4.37657695792521e-07 \tabularnewline
156 & 0.999999859362479 & 2.81275042789463e-07 & 1.40637521394732e-07 \tabularnewline
157 & 0.999999889791807 & 2.20416386822174e-07 & 1.10208193411087e-07 \tabularnewline
158 & 0.99999989773197 & 2.04536059445951e-07 & 1.02268029722975e-07 \tabularnewline
159 & 0.999999876347473 & 2.47305053032119e-07 & 1.23652526516059e-07 \tabularnewline
160 & 0.999999810174167 & 3.79651666448828e-07 & 1.89825833224414e-07 \tabularnewline
161 & 0.999999803348196 & 3.93303608821665e-07 & 1.96651804410833e-07 \tabularnewline
162 & 0.999999721284498 & 5.57431003952853e-07 & 2.78715501976426e-07 \tabularnewline
163 & 0.999999638793466 & 7.22413067588513e-07 & 3.61206533794257e-07 \tabularnewline
164 & 0.999999472912996 & 1.05417400833454e-06 & 5.27087004167268e-07 \tabularnewline
165 & 0.99999951820657 & 9.63586860074382e-07 & 4.81793430037191e-07 \tabularnewline
166 & 0.999999823320795 & 3.53358409776499e-07 & 1.7667920488825e-07 \tabularnewline
167 & 0.999999738530221 & 5.22939557749032e-07 & 2.61469778874516e-07 \tabularnewline
168 & 0.999999603567366 & 7.92865267354747e-07 & 3.96432633677374e-07 \tabularnewline
169 & 0.999999520723886 & 9.58552227658069e-07 & 4.79276113829035e-07 \tabularnewline
170 & 0.999999997035065 & 5.92986975021455e-09 & 2.96493487510727e-09 \tabularnewline
171 & 0.999999994992764 & 1.00144710063811e-08 & 5.00723550319054e-09 \tabularnewline
172 & 0.999999992936078 & 1.4127843457517e-08 & 7.06392172875852e-09 \tabularnewline
173 & 0.999999987960319 & 2.40793621191958e-08 & 1.20396810595979e-08 \tabularnewline
174 & 0.999999994526991 & 1.09460183568902e-08 & 5.47300917844509e-09 \tabularnewline
175 & 0.999999999762958 & 4.74084797009462e-10 & 2.37042398504731e-10 \tabularnewline
176 & 0.999999999601672 & 7.9665514529534e-10 & 3.9832757264767e-10 \tabularnewline
177 & 0.999999999624679 & 7.50642482705125e-10 & 3.75321241352563e-10 \tabularnewline
178 & 0.99999999937754 & 1.24492029639338e-09 & 6.22460148196691e-10 \tabularnewline
179 & 0.999999998883295 & 2.23340911525961e-09 & 1.11670455762981e-09 \tabularnewline
180 & 0.999999999582636 & 8.3472886545797e-10 & 4.17364432728985e-10 \tabularnewline
181 & 0.999999999519366 & 9.61268070194521e-10 & 4.80634035097261e-10 \tabularnewline
182 & 0.999999999961487 & 7.70252864103562e-11 & 3.85126432051781e-11 \tabularnewline
183 & 0.999999999928489 & 1.43021795000595e-10 & 7.15108975002974e-11 \tabularnewline
184 & 0.999999999922028 & 1.55944552118719e-10 & 7.79722760593596e-11 \tabularnewline
185 & 0.999999999949181 & 1.01637404385138e-10 & 5.0818702192569e-11 \tabularnewline
186 & 0.999999999907802 & 1.84395272828383e-10 & 9.21976364141917e-11 \tabularnewline
187 & 0.999999999833701 & 3.32598638532598e-10 & 1.66299319266299e-10 \tabularnewline
188 & 0.999999999709831 & 5.80338637237881e-10 & 2.9016931861894e-10 \tabularnewline
189 & 0.999999999584924 & 8.30151645286927e-10 & 4.15075822643463e-10 \tabularnewline
190 & 0.999999999267856 & 1.46428756069878e-09 & 7.3214378034939e-10 \tabularnewline
191 & 0.999999999651469 & 6.9706130926733e-10 & 3.48530654633665e-10 \tabularnewline
192 & 0.999999999353679 & 1.29264232896838e-09 & 6.46321164484188e-10 \tabularnewline
193 & 0.999999999003713 & 1.99257395021645e-09 & 9.96286975108225e-10 \tabularnewline
194 & 0.999999998385235 & 3.22952981610203e-09 & 1.61476490805102e-09 \tabularnewline
195 & 0.999999997623731 & 4.75253882317412e-09 & 2.37626941158706e-09 \tabularnewline
196 & 0.999999996314807 & 7.37038572067098e-09 & 3.68519286033549e-09 \tabularnewline
197 & 0.999999994815302 & 1.03693954657697e-08 & 5.18469773288486e-09 \tabularnewline
198 & 0.999999992037214 & 1.592557293502e-08 & 7.96278646751001e-09 \tabularnewline
199 & 0.999999993994379 & 1.20112425584755e-08 & 6.00562127923773e-09 \tabularnewline
200 & 0.999999989069741 & 2.18605189078094e-08 & 1.09302594539047e-08 \tabularnewline
201 & 0.999999980759461 & 3.8481078740212e-08 & 1.9240539370106e-08 \tabularnewline
202 & 0.999999965765442 & 6.8469115478003e-08 & 3.42345577390015e-08 \tabularnewline
203 & 0.999999954287908 & 9.14241845027133e-08 & 4.57120922513567e-08 \tabularnewline
204 & 0.999999930920711 & 1.38158577034269e-07 & 6.90792885171346e-08 \tabularnewline
205 & 0.999999923158974 & 1.53682052685778e-07 & 7.68410263428889e-08 \tabularnewline
206 & 0.99999988249154 & 2.3501692076436e-07 & 1.1750846038218e-07 \tabularnewline
207 & 0.999999799189687 & 4.01620626151275e-07 & 2.00810313075638e-07 \tabularnewline
208 & 0.999999974552619 & 5.08947626787282e-08 & 2.54473813393641e-08 \tabularnewline
209 & 0.999999982347251 & 3.53054986541059e-08 & 1.7652749327053e-08 \tabularnewline
210 & 0.99999997685163 & 4.62967398439277e-08 & 2.31483699219638e-08 \tabularnewline
211 & 0.999999967904439 & 6.41911210740699e-08 & 3.20955605370349e-08 \tabularnewline
212 & 0.9999999844633 & 3.1073400387283e-08 & 1.55367001936415e-08 \tabularnewline
213 & 0.999999970932514 & 5.81349710064109e-08 & 2.90674855032055e-08 \tabularnewline
214 & 0.999999949381076 & 1.01237848042664e-07 & 5.06189240213322e-08 \tabularnewline
215 & 0.999999951283469 & 9.74330613604783e-08 & 4.87165306802392e-08 \tabularnewline
216 & 0.999999921399931 & 1.57200137043149e-07 & 7.86000685215744e-08 \tabularnewline
217 & 0.999999945154601 & 1.09690797311118e-07 & 5.4845398655559e-08 \tabularnewline
218 & 0.99999989916681 & 2.01666379126896e-07 & 1.00833189563448e-07 \tabularnewline
219 & 0.999999824716856 & 3.50566287220162e-07 & 1.75283143610081e-07 \tabularnewline
220 & 0.999999863797332 & 2.72405336416726e-07 & 1.36202668208363e-07 \tabularnewline
221 & 0.99999977003983 & 4.59920339083493e-07 & 2.29960169541746e-07 \tabularnewline
222 & 0.999999645396836 & 7.09206327510964e-07 & 3.54603163755482e-07 \tabularnewline
223 & 0.999999883321019 & 2.33357961550333e-07 & 1.16678980775167e-07 \tabularnewline
224 & 0.99999981742939 & 3.65141220327437e-07 & 1.82570610163718e-07 \tabularnewline
225 & 0.999999661583596 & 6.76832808360998e-07 & 3.38416404180499e-07 \tabularnewline
226 & 0.999999382698123 & 1.23460375301999e-06 & 6.17301876509993e-07 \tabularnewline
227 & 0.999999071826595 & 1.85634681102662e-06 & 9.28173405513312e-07 \tabularnewline
228 & 0.999998861449264 & 2.27710147166074e-06 & 1.13855073583037e-06 \tabularnewline
229 & 0.999999082713428 & 1.83457314417008e-06 & 9.17286572085039e-07 \tabularnewline
230 & 0.999999411483891 & 1.17703221773288e-06 & 5.88516108866441e-07 \tabularnewline
231 & 0.999999221961197 & 1.55607760574392e-06 & 7.78038802871961e-07 \tabularnewline
232 & 0.999998560341434 & 2.87931713146538e-06 & 1.43965856573269e-06 \tabularnewline
233 & 0.999999269745396 & 1.4605092077828e-06 & 7.30254603891401e-07 \tabularnewline
234 & 0.999998807252848 & 2.38549430331228e-06 & 1.19274715165614e-06 \tabularnewline
235 & 0.999999300006718 & 1.39998656438665e-06 & 6.99993282193325e-07 \tabularnewline
236 & 0.99999881253742 & 2.37492516095075e-06 & 1.18746258047538e-06 \tabularnewline
237 & 0.999999987779724 & 2.44405520526981e-08 & 1.2220276026349e-08 \tabularnewline
238 & 0.999999980561988 & 3.88760231107459e-08 & 1.94380115553729e-08 \tabularnewline
239 & 0.999999976077318 & 4.78453644222346e-08 & 2.39226822111173e-08 \tabularnewline
240 & 0.999999982846604 & 3.43067916290364e-08 & 1.71533958145182e-08 \tabularnewline
241 & 0.999999969072989 & 6.18540211099144e-08 & 3.09270105549572e-08 \tabularnewline
242 & 0.999999945321342 & 1.09357315861415e-07 & 5.46786579307075e-08 \tabularnewline
243 & 0.999999940891824 & 1.18216352943241e-07 & 5.91081764716206e-08 \tabularnewline
244 & 0.999999875675516 & 2.48648968134117e-07 & 1.24324484067058e-07 \tabularnewline
245 & 0.999999734903847 & 5.301923062955e-07 & 2.6509615314775e-07 \tabularnewline
246 & 0.999999419786993 & 1.1604260138589e-06 & 5.80213006929448e-07 \tabularnewline
247 & 0.999999196637042 & 1.60672591513031e-06 & 8.03362957565155e-07 \tabularnewline
248 & 0.999999280192189 & 1.43961562185793e-06 & 7.19807810928967e-07 \tabularnewline
249 & 0.999998473929116 & 3.05214176759588e-06 & 1.52607088379794e-06 \tabularnewline
250 & 0.999997700613196 & 4.59877360706576e-06 & 2.29938680353288e-06 \tabularnewline
251 & 0.999997082277411 & 5.83544517846309e-06 & 2.91772258923154e-06 \tabularnewline
252 & 0.999994332066885 & 1.13358662309016e-05 & 5.66793311545079e-06 \tabularnewline
253 & 0.999987939164259 & 2.41216714811154e-05 & 1.20608357405577e-05 \tabularnewline
254 & 0.999975575050201 & 4.88498995973604e-05 & 2.44249497986802e-05 \tabularnewline
255 & 0.999964595830086 & 7.08083398277995e-05 & 3.54041699138998e-05 \tabularnewline
256 & 0.999934583114742 & 0.000130833770515918 & 6.54168852579592e-05 \tabularnewline
257 & 0.999937336195843 & 0.000125327608313891 & 6.26638041569456e-05 \tabularnewline
258 & 0.999884684372346 & 0.00023063125530777 & 0.000115315627653885 \tabularnewline
259 & 0.999807741240183 & 0.000384517519634712 & 0.000192258759817356 \tabularnewline
260 & 0.999608716861883 & 0.000782566276233276 & 0.000391283138116638 \tabularnewline
261 & 0.999706101341684 & 0.000587797316631636 & 0.000293898658315818 \tabularnewline
262 & 0.999433069121268 & 0.00113386175746319 & 0.000566930878731596 \tabularnewline
263 & 0.99885436491125 & 0.00229127017749975 & 0.00114563508874987 \tabularnewline
264 & 0.998313328983932 & 0.00337334203213515 & 0.00168667101606757 \tabularnewline
265 & 0.997598294395583 & 0.00480341120883397 & 0.00240170560441698 \tabularnewline
266 & 0.995395820012748 & 0.00920835997450315 & 0.00460417998725158 \tabularnewline
267 & 0.995507976654722 & 0.00898404669055536 & 0.00449202334527768 \tabularnewline
268 & 0.995063749053829 & 0.00987250189234136 & 0.00493625094617068 \tabularnewline
269 & 0.99990857536317 & 0.000182849273659358 & 9.14246368296788e-05 \tabularnewline
270 & 0.999994451942375 & 1.10961152493317e-05 & 5.54805762466587e-06 \tabularnewline
271 & 0.999980273044206 & 3.9453911588914e-05 & 1.9726955794457e-05 \tabularnewline
272 & 0.99992653764282 & 0.000146924714360615 & 7.34623571803076e-05 \tabularnewline
273 & 0.99986720434191 & 0.000265591316179404 & 0.000132795658089702 \tabularnewline
274 & 0.999480787308343 & 0.00103842538331394 & 0.000519212691656971 \tabularnewline
275 & 0.998546448181601 & 0.00290710363679834 & 0.00145355181839917 \tabularnewline
276 & 0.99713847610465 & 0.00572304779070022 & 0.00286152389535011 \tabularnewline
277 & 0.990982575697185 & 0.0180348486056309 & 0.00901742430281545 \tabularnewline
278 & 0.971132403254186 & 0.0577351934916278 & 0.0288675967458139 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=186139&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]11[/C][C]0.352904310841631[/C][C]0.705808621683262[/C][C]0.647095689158369[/C][/ROW]
[ROW][C]12[/C][C]0.32971220067615[/C][C]0.6594244013523[/C][C]0.67028779932385[/C][/ROW]
[ROW][C]13[/C][C]0.653979963233603[/C][C]0.692040073532794[/C][C]0.346020036766397[/C][/ROW]
[ROW][C]14[/C][C]0.55815480752958[/C][C]0.88369038494084[/C][C]0.44184519247042[/C][/ROW]
[ROW][C]15[/C][C]0.44295726260379[/C][C]0.885914525207581[/C][C]0.55704273739621[/C][/ROW]
[ROW][C]16[/C][C]0.344037601699203[/C][C]0.688075203398407[/C][C]0.655962398300797[/C][/ROW]
[ROW][C]17[/C][C]0.886839810272969[/C][C]0.226320379454063[/C][C]0.113160189727031[/C][/ROW]
[ROW][C]18[/C][C]0.848973300401232[/C][C]0.302053399197536[/C][C]0.151026699598768[/C][/ROW]
[ROW][C]19[/C][C]0.840295466140064[/C][C]0.319409067719872[/C][C]0.159704533859936[/C][/ROW]
[ROW][C]20[/C][C]0.886778906501532[/C][C]0.226442186996936[/C][C]0.113221093498468[/C][/ROW]
[ROW][C]21[/C][C]0.863759293803989[/C][C]0.272481412392022[/C][C]0.136240706196011[/C][/ROW]
[ROW][C]22[/C][C]0.823510211907837[/C][C]0.352979576184326[/C][C]0.176489788092163[/C][/ROW]
[ROW][C]23[/C][C]0.995802484174677[/C][C]0.00839503165064509[/C][C]0.00419751582532254[/C][/ROW]
[ROW][C]24[/C][C]0.994208652584805[/C][C]0.0115826948303902[/C][C]0.00579134741519509[/C][/ROW]
[ROW][C]25[/C][C]0.994205578583654[/C][C]0.0115888428326915[/C][C]0.00579442141634577[/C][/ROW]
[ROW][C]26[/C][C]0.998758675160486[/C][C]0.00248264967902779[/C][C]0.00124132483951389[/C][/ROW]
[ROW][C]27[/C][C]0.999332471993469[/C][C]0.00133505601306291[/C][C]0.000667528006531454[/C][/ROW]
[ROW][C]28[/C][C]0.998928802353035[/C][C]0.00214239529392922[/C][C]0.00107119764696461[/C][/ROW]
[ROW][C]29[/C][C]0.998885894682993[/C][C]0.00222821063401463[/C][C]0.00111410531700732[/C][/ROW]
[ROW][C]30[/C][C]0.99886248165924[/C][C]0.00227503668152016[/C][C]0.00113751834076008[/C][/ROW]
[ROW][C]31[/C][C]0.998705935515715[/C][C]0.00258812896857043[/C][C]0.00129406448428522[/C][/ROW]
[ROW][C]32[/C][C]0.998038547896831[/C][C]0.0039229042063379[/C][C]0.00196145210316895[/C][/ROW]
[ROW][C]33[/C][C]0.997131070783344[/C][C]0.00573785843331166[/C][C]0.00286892921665583[/C][/ROW]
[ROW][C]34[/C][C]0.997088679547436[/C][C]0.00582264090512709[/C][C]0.00291132045256354[/C][/ROW]
[ROW][C]35[/C][C]0.997292235601469[/C][C]0.00541552879706287[/C][C]0.00270776439853143[/C][/ROW]
[ROW][C]36[/C][C]0.996552227248116[/C][C]0.00689554550376736[/C][C]0.00344777275188368[/C][/ROW]
[ROW][C]37[/C][C]0.99536558987324[/C][C]0.00926882025352027[/C][C]0.00463441012676013[/C][/ROW]
[ROW][C]38[/C][C]0.993601520480949[/C][C]0.0127969590381021[/C][C]0.00639847951905106[/C][/ROW]
[ROW][C]39[/C][C]0.997740123116514[/C][C]0.00451975376697253[/C][C]0.00225987688348626[/C][/ROW]
[ROW][C]40[/C][C]0.998052158391824[/C][C]0.00389568321635124[/C][C]0.00194784160817562[/C][/ROW]
[ROW][C]41[/C][C]0.997240392582526[/C][C]0.005519214834948[/C][C]0.002759607417474[/C][/ROW]
[ROW][C]42[/C][C]0.996396849341556[/C][C]0.00720630131688785[/C][C]0.00360315065844392[/C][/ROW]
[ROW][C]43[/C][C]0.995475930969104[/C][C]0.00904813806179261[/C][C]0.0045240690308963[/C][/ROW]
[ROW][C]44[/C][C]0.993644156266315[/C][C]0.0127116874673699[/C][C]0.00635584373368494[/C][/ROW]
[ROW][C]45[/C][C]0.994976147219406[/C][C]0.0100477055611872[/C][C]0.00502385278059361[/C][/ROW]
[ROW][C]46[/C][C]0.993100496437184[/C][C]0.0137990071256316[/C][C]0.00689950356281578[/C][/ROW]
[ROW][C]47[/C][C]0.993174128357607[/C][C]0.0136517432847851[/C][C]0.00682587164239257[/C][/ROW]
[ROW][C]48[/C][C]0.990929123497355[/C][C]0.0181417530052904[/C][C]0.00907087650264522[/C][/ROW]
[ROW][C]49[/C][C]0.988195849213263[/C][C]0.0236083015734744[/C][C]0.0118041507867372[/C][/ROW]
[ROW][C]50[/C][C]0.999545369594132[/C][C]0.000909260811735236[/C][C]0.000454630405867618[/C][/ROW]
[ROW][C]51[/C][C]0.99997174735093[/C][C]5.65052981402606e-05[/C][C]2.82526490701303e-05[/C][/ROW]
[ROW][C]52[/C][C]0.999961348956679[/C][C]7.73020866416109e-05[/C][C]3.86510433208055e-05[/C][/ROW]
[ROW][C]53[/C][C]0.999946343612677[/C][C]0.000107312774646508[/C][C]5.36563873232538e-05[/C][/ROW]
[ROW][C]54[/C][C]0.999938908915616[/C][C]0.000122182168768093[/C][C]6.10910843840465e-05[/C][/ROW]
[ROW][C]55[/C][C]0.999977504222428[/C][C]4.49915551447439e-05[/C][C]2.2495777572372e-05[/C][/ROW]
[ROW][C]56[/C][C]0.999965709201871[/C][C]6.85815962587144e-05[/C][C]3.42907981293572e-05[/C][/ROW]
[ROW][C]57[/C][C]0.999960672403609[/C][C]7.86551927816111e-05[/C][C]3.93275963908055e-05[/C][/ROW]
[ROW][C]58[/C][C]0.999986991725363[/C][C]2.60165492741516e-05[/C][C]1.30082746370758e-05[/C][/ROW]
[ROW][C]59[/C][C]0.99997984992569[/C][C]4.03001486195988e-05[/C][C]2.01500743097994e-05[/C][/ROW]
[ROW][C]60[/C][C]0.999971669744601[/C][C]5.66605107971802e-05[/C][C]2.83302553985901e-05[/C][/ROW]
[ROW][C]61[/C][C]0.999961766233451[/C][C]7.64675330988707e-05[/C][C]3.82337665494353e-05[/C][/ROW]
[ROW][C]62[/C][C]0.999963340274239[/C][C]7.33194515209014e-05[/C][C]3.66597257604507e-05[/C][/ROW]
[ROW][C]63[/C][C]0.999954202903191[/C][C]9.15941936170928e-05[/C][C]4.57970968085464e-05[/C][/ROW]
[ROW][C]64[/C][C]0.999932596093607[/C][C]0.000134807812785831[/C][C]6.74039063929154e-05[/C][/ROW]
[ROW][C]65[/C][C]0.999912343976484[/C][C]0.00017531204703233[/C][C]8.76560235161648e-05[/C][/ROW]
[ROW][C]66[/C][C]0.999872281869344[/C][C]0.000255436261312932[/C][C]0.000127718130656466[/C][/ROW]
[ROW][C]67[/C][C]0.999844690588614[/C][C]0.000310618822771363[/C][C]0.000155309411385682[/C][/ROW]
[ROW][C]68[/C][C]0.999775288349895[/C][C]0.000449423300210671[/C][C]0.000224711650105336[/C][/ROW]
[ROW][C]69[/C][C]0.99970308973718[/C][C]0.000593820525640586[/C][C]0.000296910262820293[/C][/ROW]
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[ROW][C]72[/C][C]0.999874193683346[/C][C]0.000251612633307738[/C][C]0.000125806316653869[/C][/ROW]
[ROW][C]73[/C][C]0.999880337686835[/C][C]0.000239324626329784[/C][C]0.000119662313164892[/C][/ROW]
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[ROW][C]79[/C][C]0.999905221481639[/C][C]0.000189557036721367[/C][C]9.47785183606837e-05[/C][/ROW]
[ROW][C]80[/C][C]0.999869506537498[/C][C]0.000260986925004017[/C][C]0.000130493462502008[/C][/ROW]
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[ROW][C]97[/C][C]0.99967487747064[/C][C]0.000650245058719739[/C][C]0.00032512252935987[/C][/ROW]
[ROW][C]98[/C][C]0.999999799158882[/C][C]4.01682235927374e-07[/C][C]2.00841117963687e-07[/C][/ROW]
[ROW][C]99[/C][C]0.999999701447252[/C][C]5.97105495043351e-07[/C][C]2.98552747521676e-07[/C][/ROW]
[ROW][C]100[/C][C]0.999999564601615[/C][C]8.70796770846983e-07[/C][C]4.35398385423491e-07[/C][/ROW]
[ROW][C]101[/C][C]0.999999383601998[/C][C]1.23279600346619e-06[/C][C]6.16398001733096e-07[/C][/ROW]
[ROW][C]102[/C][C]0.999999268151703[/C][C]1.46369659365205e-06[/C][C]7.31848296826027e-07[/C][/ROW]
[ROW][C]103[/C][C]0.999999742242402[/C][C]5.15515196835612e-07[/C][C]2.57757598417806e-07[/C][/ROW]
[ROW][C]104[/C][C]0.999999648442931[/C][C]7.03114137667061e-07[/C][C]3.5155706883353e-07[/C][/ROW]
[ROW][C]105[/C][C]0.99999967457201[/C][C]6.50855979923917e-07[/C][C]3.25427989961958e-07[/C][/ROW]
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[ROW][C]107[/C][C]0.999999577430695[/C][C]8.4513861064182e-07[/C][C]4.2256930532091e-07[/C][/ROW]
[ROW][C]108[/C][C]0.999999468663782[/C][C]1.06267243684985e-06[/C][C]5.31336218424924e-07[/C][/ROW]
[ROW][C]109[/C][C]0.999999418051497[/C][C]1.16389700696016e-06[/C][C]5.8194850348008e-07[/C][/ROW]
[ROW][C]110[/C][C]0.999999104327716[/C][C]1.79134456856466e-06[/C][C]8.95672284282332e-07[/C][/ROW]
[ROW][C]111[/C][C]0.999998803617629[/C][C]2.39276474134899e-06[/C][C]1.19638237067449e-06[/C][/ROW]
[ROW][C]112[/C][C]0.999998604267844[/C][C]2.7914643117497e-06[/C][C]1.39573215587485e-06[/C][/ROW]
[ROW][C]113[/C][C]0.999998087344493[/C][C]3.82531101450645e-06[/C][C]1.91265550725322e-06[/C][/ROW]
[ROW][C]114[/C][C]0.999997196424079[/C][C]5.60715184181425e-06[/C][C]2.80357592090713e-06[/C][/ROW]
[ROW][C]115[/C][C]0.999997145401288[/C][C]5.70919742441757e-06[/C][C]2.85459871220878e-06[/C][/ROW]
[ROW][C]116[/C][C]0.999997104309914[/C][C]5.79138017113681e-06[/C][C]2.8956900855684e-06[/C][/ROW]
[ROW][C]117[/C][C]0.999996626036961[/C][C]6.74792607692512e-06[/C][C]3.37396303846256e-06[/C][/ROW]
[ROW][C]118[/C][C]0.999998489509539[/C][C]3.02098092117777e-06[/C][C]1.51049046058888e-06[/C][/ROW]
[ROW][C]119[/C][C]0.999997724080552[/C][C]4.55183889584769e-06[/C][C]2.27591944792384e-06[/C][/ROW]
[ROW][C]120[/C][C]0.999997906913119[/C][C]4.18617376247665e-06[/C][C]2.09308688123833e-06[/C][/ROW]
[ROW][C]121[/C][C]0.999996925953075[/C][C]6.14809384970942e-06[/C][C]3.07404692485471e-06[/C][/ROW]
[ROW][C]122[/C][C]0.999998804647553[/C][C]2.39070489348144e-06[/C][C]1.19535244674072e-06[/C][/ROW]
[ROW][C]123[/C][C]0.999998575021545[/C][C]2.84995691062138e-06[/C][C]1.42497845531069e-06[/C][/ROW]
[ROW][C]124[/C][C]0.999999559987331[/C][C]8.80025337228693e-07[/C][C]4.40012668614347e-07[/C][/ROW]
[ROW][C]125[/C][C]0.999999983043705[/C][C]3.39125907644577e-08[/C][C]1.69562953822288e-08[/C][/ROW]
[ROW][C]126[/C][C]0.999999979330055[/C][C]4.13398904103334e-08[/C][C]2.06699452051667e-08[/C][/ROW]
[ROW][C]127[/C][C]0.999999970109659[/C][C]5.97806817374529e-08[/C][C]2.98903408687264e-08[/C][/ROW]
[ROW][C]128[/C][C]0.999999954437653[/C][C]9.11246945165768e-08[/C][C]4.55623472582884e-08[/C][/ROW]
[ROW][C]129[/C][C]0.999999934741476[/C][C]1.30517048083655e-07[/C][C]6.52585240418273e-08[/C][/ROW]
[ROW][C]130[/C][C]0.999999896013724[/C][C]2.07972551206417e-07[/C][C]1.03986275603209e-07[/C][/ROW]
[ROW][C]131[/C][C]0.999999838348026[/C][C]3.23303948805416e-07[/C][C]1.61651974402708e-07[/C][/ROW]
[ROW][C]132[/C][C]0.999999926358661[/C][C]1.47282678581639e-07[/C][C]7.36413392908195e-08[/C][/ROW]
[ROW][C]133[/C][C]0.999999896121768[/C][C]2.07756464220312e-07[/C][C]1.03878232110156e-07[/C][/ROW]
[ROW][C]134[/C][C]0.999999985175845[/C][C]2.96483093157664e-08[/C][C]1.48241546578832e-08[/C][/ROW]
[ROW][C]135[/C][C]0.999999979638438[/C][C]4.07231235539857e-08[/C][C]2.03615617769929e-08[/C][/ROW]
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[ROW][C]137[/C][C]0.999999989006991[/C][C]2.1986018045887e-08[/C][C]1.09930090229435e-08[/C][/ROW]
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[ROW][C]143[/C][C]0.999999974960913[/C][C]5.00781743874958e-08[/C][C]2.50390871937479e-08[/C][/ROW]
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[ROW][C]166[/C][C]0.999999823320795[/C][C]3.53358409776499e-07[/C][C]1.7667920488825e-07[/C][/ROW]
[ROW][C]167[/C][C]0.999999738530221[/C][C]5.22939557749032e-07[/C][C]2.61469778874516e-07[/C][/ROW]
[ROW][C]168[/C][C]0.999999603567366[/C][C]7.92865267354747e-07[/C][C]3.96432633677374e-07[/C][/ROW]
[ROW][C]169[/C][C]0.999999520723886[/C][C]9.58552227658069e-07[/C][C]4.79276113829035e-07[/C][/ROW]
[ROW][C]170[/C][C]0.999999997035065[/C][C]5.92986975021455e-09[/C][C]2.96493487510727e-09[/C][/ROW]
[ROW][C]171[/C][C]0.999999994992764[/C][C]1.00144710063811e-08[/C][C]5.00723550319054e-09[/C][/ROW]
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[ROW][C]183[/C][C]0.999999999928489[/C][C]1.43021795000595e-10[/C][C]7.15108975002974e-11[/C][/ROW]
[ROW][C]184[/C][C]0.999999999922028[/C][C]1.55944552118719e-10[/C][C]7.79722760593596e-11[/C][/ROW]
[ROW][C]185[/C][C]0.999999999949181[/C][C]1.01637404385138e-10[/C][C]5.0818702192569e-11[/C][/ROW]
[ROW][C]186[/C][C]0.999999999907802[/C][C]1.84395272828383e-10[/C][C]9.21976364141917e-11[/C][/ROW]
[ROW][C]187[/C][C]0.999999999833701[/C][C]3.32598638532598e-10[/C][C]1.66299319266299e-10[/C][/ROW]
[ROW][C]188[/C][C]0.999999999709831[/C][C]5.80338637237881e-10[/C][C]2.9016931861894e-10[/C][/ROW]
[ROW][C]189[/C][C]0.999999999584924[/C][C]8.30151645286927e-10[/C][C]4.15075822643463e-10[/C][/ROW]
[ROW][C]190[/C][C]0.999999999267856[/C][C]1.46428756069878e-09[/C][C]7.3214378034939e-10[/C][/ROW]
[ROW][C]191[/C][C]0.999999999651469[/C][C]6.9706130926733e-10[/C][C]3.48530654633665e-10[/C][/ROW]
[ROW][C]192[/C][C]0.999999999353679[/C][C]1.29264232896838e-09[/C][C]6.46321164484188e-10[/C][/ROW]
[ROW][C]193[/C][C]0.999999999003713[/C][C]1.99257395021645e-09[/C][C]9.96286975108225e-10[/C][/ROW]
[ROW][C]194[/C][C]0.999999998385235[/C][C]3.22952981610203e-09[/C][C]1.61476490805102e-09[/C][/ROW]
[ROW][C]195[/C][C]0.999999997623731[/C][C]4.75253882317412e-09[/C][C]2.37626941158706e-09[/C][/ROW]
[ROW][C]196[/C][C]0.999999996314807[/C][C]7.37038572067098e-09[/C][C]3.68519286033549e-09[/C][/ROW]
[ROW][C]197[/C][C]0.999999994815302[/C][C]1.03693954657697e-08[/C][C]5.18469773288486e-09[/C][/ROW]
[ROW][C]198[/C][C]0.999999992037214[/C][C]1.592557293502e-08[/C][C]7.96278646751001e-09[/C][/ROW]
[ROW][C]199[/C][C]0.999999993994379[/C][C]1.20112425584755e-08[/C][C]6.00562127923773e-09[/C][/ROW]
[ROW][C]200[/C][C]0.999999989069741[/C][C]2.18605189078094e-08[/C][C]1.09302594539047e-08[/C][/ROW]
[ROW][C]201[/C][C]0.999999980759461[/C][C]3.8481078740212e-08[/C][C]1.9240539370106e-08[/C][/ROW]
[ROW][C]202[/C][C]0.999999965765442[/C][C]6.8469115478003e-08[/C][C]3.42345577390015e-08[/C][/ROW]
[ROW][C]203[/C][C]0.999999954287908[/C][C]9.14241845027133e-08[/C][C]4.57120922513567e-08[/C][/ROW]
[ROW][C]204[/C][C]0.999999930920711[/C][C]1.38158577034269e-07[/C][C]6.90792885171346e-08[/C][/ROW]
[ROW][C]205[/C][C]0.999999923158974[/C][C]1.53682052685778e-07[/C][C]7.68410263428889e-08[/C][/ROW]
[ROW][C]206[/C][C]0.99999988249154[/C][C]2.3501692076436e-07[/C][C]1.1750846038218e-07[/C][/ROW]
[ROW][C]207[/C][C]0.999999799189687[/C][C]4.01620626151275e-07[/C][C]2.00810313075638e-07[/C][/ROW]
[ROW][C]208[/C][C]0.999999974552619[/C][C]5.08947626787282e-08[/C][C]2.54473813393641e-08[/C][/ROW]
[ROW][C]209[/C][C]0.999999982347251[/C][C]3.53054986541059e-08[/C][C]1.7652749327053e-08[/C][/ROW]
[ROW][C]210[/C][C]0.99999997685163[/C][C]4.62967398439277e-08[/C][C]2.31483699219638e-08[/C][/ROW]
[ROW][C]211[/C][C]0.999999967904439[/C][C]6.41911210740699e-08[/C][C]3.20955605370349e-08[/C][/ROW]
[ROW][C]212[/C][C]0.9999999844633[/C][C]3.1073400387283e-08[/C][C]1.55367001936415e-08[/C][/ROW]
[ROW][C]213[/C][C]0.999999970932514[/C][C]5.81349710064109e-08[/C][C]2.90674855032055e-08[/C][/ROW]
[ROW][C]214[/C][C]0.999999949381076[/C][C]1.01237848042664e-07[/C][C]5.06189240213322e-08[/C][/ROW]
[ROW][C]215[/C][C]0.999999951283469[/C][C]9.74330613604783e-08[/C][C]4.87165306802392e-08[/C][/ROW]
[ROW][C]216[/C][C]0.999999921399931[/C][C]1.57200137043149e-07[/C][C]7.86000685215744e-08[/C][/ROW]
[ROW][C]217[/C][C]0.999999945154601[/C][C]1.09690797311118e-07[/C][C]5.4845398655559e-08[/C][/ROW]
[ROW][C]218[/C][C]0.99999989916681[/C][C]2.01666379126896e-07[/C][C]1.00833189563448e-07[/C][/ROW]
[ROW][C]219[/C][C]0.999999824716856[/C][C]3.50566287220162e-07[/C][C]1.75283143610081e-07[/C][/ROW]
[ROW][C]220[/C][C]0.999999863797332[/C][C]2.72405336416726e-07[/C][C]1.36202668208363e-07[/C][/ROW]
[ROW][C]221[/C][C]0.99999977003983[/C][C]4.59920339083493e-07[/C][C]2.29960169541746e-07[/C][/ROW]
[ROW][C]222[/C][C]0.999999645396836[/C][C]7.09206327510964e-07[/C][C]3.54603163755482e-07[/C][/ROW]
[ROW][C]223[/C][C]0.999999883321019[/C][C]2.33357961550333e-07[/C][C]1.16678980775167e-07[/C][/ROW]
[ROW][C]224[/C][C]0.99999981742939[/C][C]3.65141220327437e-07[/C][C]1.82570610163718e-07[/C][/ROW]
[ROW][C]225[/C][C]0.999999661583596[/C][C]6.76832808360998e-07[/C][C]3.38416404180499e-07[/C][/ROW]
[ROW][C]226[/C][C]0.999999382698123[/C][C]1.23460375301999e-06[/C][C]6.17301876509993e-07[/C][/ROW]
[ROW][C]227[/C][C]0.999999071826595[/C][C]1.85634681102662e-06[/C][C]9.28173405513312e-07[/C][/ROW]
[ROW][C]228[/C][C]0.999998861449264[/C][C]2.27710147166074e-06[/C][C]1.13855073583037e-06[/C][/ROW]
[ROW][C]229[/C][C]0.999999082713428[/C][C]1.83457314417008e-06[/C][C]9.17286572085039e-07[/C][/ROW]
[ROW][C]230[/C][C]0.999999411483891[/C][C]1.17703221773288e-06[/C][C]5.88516108866441e-07[/C][/ROW]
[ROW][C]231[/C][C]0.999999221961197[/C][C]1.55607760574392e-06[/C][C]7.78038802871961e-07[/C][/ROW]
[ROW][C]232[/C][C]0.999998560341434[/C][C]2.87931713146538e-06[/C][C]1.43965856573269e-06[/C][/ROW]
[ROW][C]233[/C][C]0.999999269745396[/C][C]1.4605092077828e-06[/C][C]7.30254603891401e-07[/C][/ROW]
[ROW][C]234[/C][C]0.999998807252848[/C][C]2.38549430331228e-06[/C][C]1.19274715165614e-06[/C][/ROW]
[ROW][C]235[/C][C]0.999999300006718[/C][C]1.39998656438665e-06[/C][C]6.99993282193325e-07[/C][/ROW]
[ROW][C]236[/C][C]0.99999881253742[/C][C]2.37492516095075e-06[/C][C]1.18746258047538e-06[/C][/ROW]
[ROW][C]237[/C][C]0.999999987779724[/C][C]2.44405520526981e-08[/C][C]1.2220276026349e-08[/C][/ROW]
[ROW][C]238[/C][C]0.999999980561988[/C][C]3.88760231107459e-08[/C][C]1.94380115553729e-08[/C][/ROW]
[ROW][C]239[/C][C]0.999999976077318[/C][C]4.78453644222346e-08[/C][C]2.39226822111173e-08[/C][/ROW]
[ROW][C]240[/C][C]0.999999982846604[/C][C]3.43067916290364e-08[/C][C]1.71533958145182e-08[/C][/ROW]
[ROW][C]241[/C][C]0.999999969072989[/C][C]6.18540211099144e-08[/C][C]3.09270105549572e-08[/C][/ROW]
[ROW][C]242[/C][C]0.999999945321342[/C][C]1.09357315861415e-07[/C][C]5.46786579307075e-08[/C][/ROW]
[ROW][C]243[/C][C]0.999999940891824[/C][C]1.18216352943241e-07[/C][C]5.91081764716206e-08[/C][/ROW]
[ROW][C]244[/C][C]0.999999875675516[/C][C]2.48648968134117e-07[/C][C]1.24324484067058e-07[/C][/ROW]
[ROW][C]245[/C][C]0.999999734903847[/C][C]5.301923062955e-07[/C][C]2.6509615314775e-07[/C][/ROW]
[ROW][C]246[/C][C]0.999999419786993[/C][C]1.1604260138589e-06[/C][C]5.80213006929448e-07[/C][/ROW]
[ROW][C]247[/C][C]0.999999196637042[/C][C]1.60672591513031e-06[/C][C]8.03362957565155e-07[/C][/ROW]
[ROW][C]248[/C][C]0.999999280192189[/C][C]1.43961562185793e-06[/C][C]7.19807810928967e-07[/C][/ROW]
[ROW][C]249[/C][C]0.999998473929116[/C][C]3.05214176759588e-06[/C][C]1.52607088379794e-06[/C][/ROW]
[ROW][C]250[/C][C]0.999997700613196[/C][C]4.59877360706576e-06[/C][C]2.29938680353288e-06[/C][/ROW]
[ROW][C]251[/C][C]0.999997082277411[/C][C]5.83544517846309e-06[/C][C]2.91772258923154e-06[/C][/ROW]
[ROW][C]252[/C][C]0.999994332066885[/C][C]1.13358662309016e-05[/C][C]5.66793311545079e-06[/C][/ROW]
[ROW][C]253[/C][C]0.999987939164259[/C][C]2.41216714811154e-05[/C][C]1.20608357405577e-05[/C][/ROW]
[ROW][C]254[/C][C]0.999975575050201[/C][C]4.88498995973604e-05[/C][C]2.44249497986802e-05[/C][/ROW]
[ROW][C]255[/C][C]0.999964595830086[/C][C]7.08083398277995e-05[/C][C]3.54041699138998e-05[/C][/ROW]
[ROW][C]256[/C][C]0.999934583114742[/C][C]0.000130833770515918[/C][C]6.54168852579592e-05[/C][/ROW]
[ROW][C]257[/C][C]0.999937336195843[/C][C]0.000125327608313891[/C][C]6.26638041569456e-05[/C][/ROW]
[ROW][C]258[/C][C]0.999884684372346[/C][C]0.00023063125530777[/C][C]0.000115315627653885[/C][/ROW]
[ROW][C]259[/C][C]0.999807741240183[/C][C]0.000384517519634712[/C][C]0.000192258759817356[/C][/ROW]
[ROW][C]260[/C][C]0.999608716861883[/C][C]0.000782566276233276[/C][C]0.000391283138116638[/C][/ROW]
[ROW][C]261[/C][C]0.999706101341684[/C][C]0.000587797316631636[/C][C]0.000293898658315818[/C][/ROW]
[ROW][C]262[/C][C]0.999433069121268[/C][C]0.00113386175746319[/C][C]0.000566930878731596[/C][/ROW]
[ROW][C]263[/C][C]0.99885436491125[/C][C]0.00229127017749975[/C][C]0.00114563508874987[/C][/ROW]
[ROW][C]264[/C][C]0.998313328983932[/C][C]0.00337334203213515[/C][C]0.00168667101606757[/C][/ROW]
[ROW][C]265[/C][C]0.997598294395583[/C][C]0.00480341120883397[/C][C]0.00240170560441698[/C][/ROW]
[ROW][C]266[/C][C]0.995395820012748[/C][C]0.00920835997450315[/C][C]0.00460417998725158[/C][/ROW]
[ROW][C]267[/C][C]0.995507976654722[/C][C]0.00898404669055536[/C][C]0.00449202334527768[/C][/ROW]
[ROW][C]268[/C][C]0.995063749053829[/C][C]0.00987250189234136[/C][C]0.00493625094617068[/C][/ROW]
[ROW][C]269[/C][C]0.99990857536317[/C][C]0.000182849273659358[/C][C]9.14246368296788e-05[/C][/ROW]
[ROW][C]270[/C][C]0.999994451942375[/C][C]1.10961152493317e-05[/C][C]5.54805762466587e-06[/C][/ROW]
[ROW][C]271[/C][C]0.999980273044206[/C][C]3.9453911588914e-05[/C][C]1.9726955794457e-05[/C][/ROW]
[ROW][C]272[/C][C]0.99992653764282[/C][C]0.000146924714360615[/C][C]7.34623571803076e-05[/C][/ROW]
[ROW][C]273[/C][C]0.99986720434191[/C][C]0.000265591316179404[/C][C]0.000132795658089702[/C][/ROW]
[ROW][C]274[/C][C]0.999480787308343[/C][C]0.00103842538331394[/C][C]0.000519212691656971[/C][/ROW]
[ROW][C]275[/C][C]0.998546448181601[/C][C]0.00290710363679834[/C][C]0.00145355181839917[/C][/ROW]
[ROW][C]276[/C][C]0.99713847610465[/C][C]0.00572304779070022[/C][C]0.00286152389535011[/C][/ROW]
[ROW][C]277[/C][C]0.990982575697185[/C][C]0.0180348486056309[/C][C]0.00901742430281545[/C][/ROW]
[ROW][C]278[/C][C]0.971132403254186[/C][C]0.0577351934916278[/C][C]0.0288675967458139[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=186139&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=186139&T=5

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


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.3529043108416310.7058086216832620.647095689158369
120.329712200676150.65942440135230.67028779932385
130.6539799632336030.6920400735327940.346020036766397
140.558154807529580.883690384940840.44184519247042
150.442957262603790.8859145252075810.55704273739621
160.3440376016992030.6880752033984070.655962398300797
170.8868398102729690.2263203794540630.113160189727031
180.8489733004012320.3020533991975360.151026699598768
190.8402954661400640.3194090677198720.159704533859936
200.8867789065015320.2264421869969360.113221093498468
210.8637592938039890.2724814123920220.136240706196011
220.8235102119078370.3529795761843260.176489788092163
230.9958024841746770.008395031650645090.00419751582532254
240.9942086525848050.01158269483039020.00579134741519509
250.9942055785836540.01158884283269150.00579442141634577
260.9987586751604860.002482649679027790.00124132483951389
270.9993324719934690.001335056013062910.000667528006531454
280.9989288023530350.002142395293929220.00107119764696461
290.9988858946829930.002228210634014630.00111410531700732
300.998862481659240.002275036681520160.00113751834076008
310.9987059355157150.002588128968570430.00129406448428522
320.9980385478968310.00392290420633790.00196145210316895
330.9971310707833440.005737858433311660.00286892921665583
340.9970886795474360.005822640905127090.00291132045256354
350.9972922356014690.005415528797062870.00270776439853143
360.9965522272481160.006895545503767360.00344777275188368
370.995365589873240.009268820253520270.00463441012676013
380.9936015204809490.01279695903810210.00639847951905106
390.9977401231165140.004519753766972530.00225987688348626
400.9980521583918240.003895683216351240.00194784160817562
410.9972403925825260.0055192148349480.002759607417474
420.9963968493415560.007206301316887850.00360315065844392
430.9954759309691040.009048138061792610.0045240690308963
440.9936441562663150.01271168746736990.00635584373368494
450.9949761472194060.01004770556118720.00502385278059361
460.9931004964371840.01379900712563160.00689950356281578
470.9931741283576070.01365174328478510.00682587164239257
480.9909291234973550.01814175300529040.00907087650264522
490.9881958492132630.02360830157347440.0118041507867372
500.9995453695941320.0009092608117352360.000454630405867618
510.999971747350935.65052981402606e-052.82526490701303e-05
520.9999613489566797.73020866416109e-053.86510433208055e-05
530.9999463436126770.0001073127746465085.36563873232538e-05
540.9999389089156160.0001221821687680936.10910843840465e-05
550.9999775042224284.49915551447439e-052.2495777572372e-05
560.9999657092018716.85815962587144e-053.42907981293572e-05
570.9999606724036097.86551927816111e-053.93275963908055e-05
580.9999869917253632.60165492741516e-051.30082746370758e-05
590.999979849925694.03001486195988e-052.01500743097994e-05
600.9999716697446015.66605107971802e-052.83302553985901e-05
610.9999617662334517.64675330988707e-053.82337665494353e-05
620.9999633402742397.33194515209014e-053.66597257604507e-05
630.9999542029031919.15941936170928e-054.57970968085464e-05
640.9999325960936070.0001348078127858316.74039063929154e-05
650.9999123439764840.000175312047032338.76560235161648e-05
660.9998722818693440.0002554362613129320.000127718130656466
670.9998446905886140.0003106188227713630.000155309411385682
680.9997752883498950.0004494233002106710.000224711650105336
690.999703089737180.0005938205256405860.000296910262820293
700.99974297233690.0005140553261991260.000257027663099563
710.9996881402212440.0006237195575127860.000311859778756393
720.9998741936833460.0002516126333077380.000125806316653869
730.9998803376868350.0002393246263297840.000119662313164892
740.9998688296186330.0002623407627337710.000131170381366885
750.9998860640226760.0002278719546473240.000113935977323662
760.9998768261997270.0002463476005458570.000123173800272928
770.999938401695240.0001231966095207026.1598304760351e-05
780.999917378090030.0001652438199392718.26219099696355e-05
790.9999052214816390.0001895570367213679.47785183606837e-05
800.9998695065374980.0002609869250040170.000130493462502008
810.9998135436160120.0003729127679753890.000186456383987694
820.9998383910564870.0003232178870264620.000161608943513231
830.9999017551579280.0001964896841439439.82448420719715e-05
840.9999117792986540.0001764414026924538.82207013462265e-05
850.9998852545373370.0002294909253250070.000114745462662503
860.9998890720410760.0002218559178482270.000110927958924113
870.9998503783531940.0002992432936125010.00014962164680625
880.9998182565053230.0003634869893548610.00018174349467743
890.9999472434576040.0001055130847920885.27565423960442e-05
900.9999263200924970.0001473598150049767.3679907502488e-05
910.9998982605022150.0002034789955706440.000101739497785322
920.9998706299408860.0002587401182285080.000129370059114254
930.9998554677553310.000289064489338610.000144532244669305
940.9998070874785840.0003858250428316140.000192912521415807
950.9997674828922370.0004650342155261620.000232517107763081
960.9997422616055480.0005154767889045470.000257738394452274
970.999674877470640.0006502450587197390.00032512252935987
980.9999997991588824.01682235927374e-072.00841117963687e-07
990.9999997014472525.97105495043351e-072.98552747521676e-07
1000.9999995646016158.70796770846983e-074.35398385423491e-07
1010.9999993836019981.23279600346619e-066.16398001733096e-07
1020.9999992681517031.46369659365205e-067.31848296826027e-07
1030.9999997422424025.15515196835612e-072.57757598417806e-07
1040.9999996484429317.03114137667061e-073.5155706883353e-07
1050.999999674572016.50855979923917e-073.25427989961958e-07
1060.9999996125894037.74821193899965e-073.87410596949983e-07
1070.9999995774306958.4513861064182e-074.2256930532091e-07
1080.9999994686637821.06267243684985e-065.31336218424924e-07
1090.9999994180514971.16389700696016e-065.8194850348008e-07
1100.9999991043277161.79134456856466e-068.95672284282332e-07
1110.9999988036176292.39276474134899e-061.19638237067449e-06
1120.9999986042678442.7914643117497e-061.39573215587485e-06
1130.9999980873444933.82531101450645e-061.91265550725322e-06
1140.9999971964240795.60715184181425e-062.80357592090713e-06
1150.9999971454012885.70919742441757e-062.85459871220878e-06
1160.9999971043099145.79138017113681e-062.8956900855684e-06
1170.9999966260369616.74792607692512e-063.37396303846256e-06
1180.9999984895095393.02098092117777e-061.51049046058888e-06
1190.9999977240805524.55183889584769e-062.27591944792384e-06
1200.9999979069131194.18617376247665e-062.09308688123833e-06
1210.9999969259530756.14809384970942e-063.07404692485471e-06
1220.9999988046475532.39070489348144e-061.19535244674072e-06
1230.9999985750215452.84995691062138e-061.42497845531069e-06
1240.9999995599873318.80025337228693e-074.40012668614347e-07
1250.9999999830437053.39125907644577e-081.69562953822288e-08
1260.9999999793300554.13398904103334e-082.06699452051667e-08
1270.9999999701096595.97806817374529e-082.98903408687264e-08
1280.9999999544376539.11246945165768e-084.55623472582884e-08
1290.9999999347414761.30517048083655e-076.52585240418273e-08
1300.9999998960137242.07972551206417e-071.03986275603209e-07
1310.9999998383480263.23303948805416e-071.61651974402708e-07
1320.9999999263586611.47282678581639e-077.36413392908195e-08
1330.9999998961217682.07756464220312e-071.03878232110156e-07
1340.9999999851758452.96483093157664e-081.48241546578832e-08
1350.9999999796384384.07231235539857e-082.03615617769929e-08
1360.9999999933329341.3334132892184e-086.66706644609201e-09
1370.9999999890069912.1986018045887e-081.09930090229435e-08
1380.9999999938847541.22304927394141e-086.11524636970703e-09
1390.9999999932456471.35087051936483e-086.75435259682413e-09
1400.9999999898147882.03704233104865e-081.01852116552432e-08
1410.9999999886968662.26062674426328e-081.13031337213164e-08
1420.9999999834689263.30621486890261e-081.6531074344513e-08
1430.9999999749609135.00781743874958e-082.50390871937479e-08
1440.9999999624098117.51803778556565e-083.75901889278283e-08
1450.999999949201761.0159647914584e-075.079823957292e-08
1460.9999999517019279.65961457091722e-084.82980728545861e-08
1470.9999999298157961.40368408895516e-077.01842044477579e-08
1480.9999998983787022.03242595707029e-071.01621297853515e-07
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1500.999999782848664.34302679226652e-072.17151339613326e-07
1510.9999997912932984.17413403852045e-072.08706701926023e-07
1520.9999997779900424.44019915137658e-072.22009957568829e-07
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1540.9999996333865147.33226971542424e-073.66613485771212e-07
1550.9999995623423048.75315391585041e-074.37657695792521e-07
1560.9999998593624792.81275042789463e-071.40637521394732e-07
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1580.999999897731972.04536059445951e-071.02268029722975e-07
1590.9999998763474732.47305053032119e-071.23652526516059e-07
1600.9999998101741673.79651666448828e-071.89825833224414e-07
1610.9999998033481963.93303608821665e-071.96651804410833e-07
1620.9999997212844985.57431003952853e-072.78715501976426e-07
1630.9999996387934667.22413067588513e-073.61206533794257e-07
1640.9999994729129961.05417400833454e-065.27087004167268e-07
1650.999999518206579.63586860074382e-074.81793430037191e-07
1660.9999998233207953.53358409776499e-071.7667920488825e-07
1670.9999997385302215.22939557749032e-072.61469778874516e-07
1680.9999996035673667.92865267354747e-073.96432633677374e-07
1690.9999995207238869.58552227658069e-074.79276113829035e-07
1700.9999999970350655.92986975021455e-092.96493487510727e-09
1710.9999999949927641.00144710063811e-085.00723550319054e-09
1720.9999999929360781.4127843457517e-087.06392172875852e-09
1730.9999999879603192.40793621191958e-081.20396810595979e-08
1740.9999999945269911.09460183568902e-085.47300917844509e-09
1750.9999999997629584.74084797009462e-102.37042398504731e-10
1760.9999999996016727.9665514529534e-103.9832757264767e-10
1770.9999999996246797.50642482705125e-103.75321241352563e-10
1780.999999999377541.24492029639338e-096.22460148196691e-10
1790.9999999988832952.23340911525961e-091.11670455762981e-09
1800.9999999995826368.3472886545797e-104.17364432728985e-10
1810.9999999995193669.61268070194521e-104.80634035097261e-10
1820.9999999999614877.70252864103562e-113.85126432051781e-11
1830.9999999999284891.43021795000595e-107.15108975002974e-11
1840.9999999999220281.55944552118719e-107.79722760593596e-11
1850.9999999999491811.01637404385138e-105.0818702192569e-11
1860.9999999999078021.84395272828383e-109.21976364141917e-11
1870.9999999998337013.32598638532598e-101.66299319266299e-10
1880.9999999997098315.80338637237881e-102.9016931861894e-10
1890.9999999995849248.30151645286927e-104.15075822643463e-10
1900.9999999992678561.46428756069878e-097.3214378034939e-10
1910.9999999996514696.9706130926733e-103.48530654633665e-10
1920.9999999993536791.29264232896838e-096.46321164484188e-10
1930.9999999990037131.99257395021645e-099.96286975108225e-10
1940.9999999983852353.22952981610203e-091.61476490805102e-09
1950.9999999976237314.75253882317412e-092.37626941158706e-09
1960.9999999963148077.37038572067098e-093.68519286033549e-09
1970.9999999948153021.03693954657697e-085.18469773288486e-09
1980.9999999920372141.592557293502e-087.96278646751001e-09
1990.9999999939943791.20112425584755e-086.00562127923773e-09
2000.9999999890697412.18605189078094e-081.09302594539047e-08
2010.9999999807594613.8481078740212e-081.9240539370106e-08
2020.9999999657654426.8469115478003e-083.42345577390015e-08
2030.9999999542879089.14241845027133e-084.57120922513567e-08
2040.9999999309207111.38158577034269e-076.90792885171346e-08
2050.9999999231589741.53682052685778e-077.68410263428889e-08
2060.999999882491542.3501692076436e-071.1750846038218e-07
2070.9999997991896874.01620626151275e-072.00810313075638e-07
2080.9999999745526195.08947626787282e-082.54473813393641e-08
2090.9999999823472513.53054986541059e-081.7652749327053e-08
2100.999999976851634.62967398439277e-082.31483699219638e-08
2110.9999999679044396.41911210740699e-083.20955605370349e-08
2120.99999998446333.1073400387283e-081.55367001936415e-08
2130.9999999709325145.81349710064109e-082.90674855032055e-08
2140.9999999493810761.01237848042664e-075.06189240213322e-08
2150.9999999512834699.74330613604783e-084.87165306802392e-08
2160.9999999213999311.57200137043149e-077.86000685215744e-08
2170.9999999451546011.09690797311118e-075.4845398655559e-08
2180.999999899166812.01666379126896e-071.00833189563448e-07
2190.9999998247168563.50566287220162e-071.75283143610081e-07
2200.9999998637973322.72405336416726e-071.36202668208363e-07
2210.999999770039834.59920339083493e-072.29960169541746e-07
2220.9999996453968367.09206327510964e-073.54603163755482e-07
2230.9999998833210192.33357961550333e-071.16678980775167e-07
2240.999999817429393.65141220327437e-071.82570610163718e-07
2250.9999996615835966.76832808360998e-073.38416404180499e-07
2260.9999993826981231.23460375301999e-066.17301876509993e-07
2270.9999990718265951.85634681102662e-069.28173405513312e-07
2280.9999988614492642.27710147166074e-061.13855073583037e-06
2290.9999990827134281.83457314417008e-069.17286572085039e-07
2300.9999994114838911.17703221773288e-065.88516108866441e-07
2310.9999992219611971.55607760574392e-067.78038802871961e-07
2320.9999985603414342.87931713146538e-061.43965856573269e-06
2330.9999992697453961.4605092077828e-067.30254603891401e-07
2340.9999988072528482.38549430331228e-061.19274715165614e-06
2350.9999993000067181.39998656438665e-066.99993282193325e-07
2360.999998812537422.37492516095075e-061.18746258047538e-06
2370.9999999877797242.44405520526981e-081.2220276026349e-08
2380.9999999805619883.88760231107459e-081.94380115553729e-08
2390.9999999760773184.78453644222346e-082.39226822111173e-08
2400.9999999828466043.43067916290364e-081.71533958145182e-08
2410.9999999690729896.18540211099144e-083.09270105549572e-08
2420.9999999453213421.09357315861415e-075.46786579307075e-08
2430.9999999408918241.18216352943241e-075.91081764716206e-08
2440.9999998756755162.48648968134117e-071.24324484067058e-07
2450.9999997349038475.301923062955e-072.6509615314775e-07
2460.9999994197869931.1604260138589e-065.80213006929448e-07
2470.9999991966370421.60672591513031e-068.03362957565155e-07
2480.9999992801921891.43961562185793e-067.19807810928967e-07
2490.9999984739291163.05214176759588e-061.52607088379794e-06
2500.9999977006131964.59877360706576e-062.29938680353288e-06
2510.9999970822774115.83544517846309e-062.91772258923154e-06
2520.9999943320668851.13358662309016e-055.66793311545079e-06
2530.9999879391642592.41216714811154e-051.20608357405577e-05
2540.9999755750502014.88498995973604e-052.44249497986802e-05
2550.9999645958300867.08083398277995e-053.54041699138998e-05
2560.9999345831147420.0001308337705159186.54168852579592e-05
2570.9999373361958430.0001253276083138916.26638041569456e-05
2580.9998846843723460.000230631255307770.000115315627653885
2590.9998077412401830.0003845175196347120.000192258759817356
2600.9996087168618830.0007825662762332760.000391283138116638
2610.9997061013416840.0005877973166316360.000293898658315818
2620.9994330691212680.001133861757463190.000566930878731596
2630.998854364911250.002291270177499750.00114563508874987
2640.9983133289839320.003373342032135150.00168667101606757
2650.9975982943955830.004803411208833970.00240170560441698
2660.9953958200127480.009208359974503150.00460417998725158
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2680.9950637490538290.009872501892341360.00493625094617068
2690.999908575363170.0001828492736593589.14246368296788e-05
2700.9999944519423751.10961152493317e-055.54805762466587e-06
2710.9999802730442063.9453911588914e-051.9726955794457e-05
2720.999926537642820.0001469247143606157.34623571803076e-05
2730.999867204341910.0002655913161794040.000132795658089702
2740.9994807873083430.001038425383313940.000519212691656971
2750.9985464481816010.002907103636798340.00145355181839917
2760.997138476104650.005723047790700220.00286152389535011
2770.9909825756971850.01803484860563090.00901742430281545
2780.9711324032541860.05773519349162780.0288675967458139






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2450.914179104477612NOK
5% type I error level2550.951492537313433NOK
10% type I error level2560.955223880597015NOK

\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 & 245 & 0.914179104477612 & NOK \tabularnewline
5% type I error level & 255 & 0.951492537313433 & NOK \tabularnewline
10% type I error level & 256 & 0.955223880597015 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=186139&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]245[/C][C]0.914179104477612[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]255[/C][C]0.951492537313433[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]256[/C][C]0.955223880597015[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=186139&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=186139&T=6

As an alternative you can also use a QR Code:  
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The GUIDs for individual cells are displayed in the table below:

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2450.914179104477612NOK
5% type I error level2550.951492537313433NOK
10% type I error level2560.955223880597015NOK


Figures (Output of Computation)

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Figure 10
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Input Parameters & R Code

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