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Author

*The author of this computation has been verified*

R Software Module

rwasp_multipleregression.wasp

Title produced by software

Multiple Regression

Date of computation

Wed, 19 Dec 2012 10:44:03 -0500

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/19/t1355931994xfr4gmzmfvgqxv1.htm/, Retrieved Fri, 03 May 2024 22:43:41 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=202089, Retrieved Fri, 03 May 2024 22:43:41 +0000

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No (this computation is public)

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Estimated Impact

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Multiple Regression] [Multiple Regressi...] [2012-11-20 16:41:33] [b952eaabb01bdc8fc50f908b86502128]
-    D    [Multiple Regression] [Paper stat - Mult...] [2012-12-19 15:44:03] [fd3c35a156f52433b5d6e23e16a12a78] [Current]

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3,166464608	869	28	84786	58	5
3,286476783	1530	38	83123	60	5
3,29159842	2172	30	101193	108	0
3,172097125	901	22	38361	49	0
2,917880593	463	26	68504	0	0
3,549331417	3201	25	119182	121	5
2,787585412	371	18	22807	1	0
3,112617164	1192	11	17140	20	0
3,232225797	1583	26	116174	43	5
3,265595013	1439	25	57635	69	5
3,38355752	1764	38	66198	78	6
3,280593845	1495	44	71701	86	0
3,196447267	1373	30	57793	44	5
3,41280065	2187	40	80444	104	0
3,292973325	1491	34	53855	63	0
3,489912189	4041	47	97668	158	5
3,374673049	1706	30	133824	102	5
3,382955786	2152	31	101481	77	5
3,201941772	1036	23	99645	82	6
3,331930651	1882	36	114789	115	0
3,351177732	1929	36	99052	101	7
3,510007237	2242	30	67654	80	7
3,242484174	1220	25	65553	50	5
3,196002436	1289	39	97500	83	0
3,283190383	2515	34	69112	123	4
3,282618086	2147	31	82753	73	6
3,366795815	2352	31	85323	81	7
3,363968236	1638	33	72654	105	5
3,17621148	1222	25	30727	47	7
3,361091858	1812	33	77873	105	0
3,344396201	1677	35	117478	94	6
3,274843895	1579	42	74007	44	5
3,414985875	1731	43	90183	114	0
3,057754304	807	30	61542	38	0
3,456327842	2452	33	101494	107	6
3,110699706	829	13	27570	30	0
3,351934761	1940	32	55813	71	0
3,490237979	2662	36	79215	84	6
2,397445642	186	0	1423	0	6
3,26964639	1499	28	55461	59	0
3,126687047	865	14	31081	33	6
3,096924276	1793	17	22996	42	6
3,421648446	2527	32	83122	96	5
3,426538534	2747	30	70106	106	0
3,232334693	1324	35	60578	56	6
3,285220306	2702	20	39992	57	5
3,24027	1383	28	79892	59	7
3,141571707	1179	28	49810	39	5
3,154468489	2099	39	71570	34	0
3,527671345	4308	34	100708	76	6
3,035548408	918	26	33032	20	0
3,298484868	1831	39	82875	91	5
3,436801551	3373	39	139077	115	0
3,235558571	1713	33	71595	85	0
3,272073282	1438	28	72260	76	5
2,702223892	496	4	5950	8	7
3,494611213	2253	39	115762	79	6
2,978664445	744	18	32551	21	0
3,110960438	1161	14	31701	30	0
3,356959651	2352	29	80670	76	7
3,393042179	2144	44	143558	101	6
3,507259418	4691	21	117105	94	5
3,118453789	1112	16	23789	27	7
3,378059245	2694	28	120733	92	0
3,409657073	1973	35	105195	123	7
3,337126301	1769	28	73107	75	0
3,475542679	3148	38	132068	128	0
3,381567219	2474	23	149193	105	6
3,28909133	2084	36	46821	55	0
3,338740819	1954	32	87011	56	0
3,321477767	1226	29	95260	41	6
3,282189656	1389	25	55183	72	7
3,219583634	1496	27	106671	67	6
3,306191303	2269	36	73511	75	6
3,306403039	1833	28	92945	114	4
3,161359411	1268	23	78664	118	0
3,296751508	1943	40	70054	77	0
3,01507042	893	23	22618	22	6
3,318848699	1762	40	74011	66	0
3,269542588	1403	28	83737	69	7
3,220710738	1425	34	69094	105	5
3,433838202	1857	33	93133	116	0
3,391872373	1840	28	95536	88	7
3,298186791	1502	34	225920	73	7
3,202351214	1441	30	62133	99	0
3,239073925	1420	33	61370	62	6
3,16449742	1416	22	43836	53	0
3,51219779	2970	38	106117	118	6
3,225170333	1317	26	38692	30	0
3,316088958	1644	35	84651	100	7
3,043617742	870	8	56622	49	0
3,171053229	1654	24	15986	24	3
3,190374416	1054	29	95364	67	7
3,144182912	937	20	26706	46	6
3,447015513	3004	29	89691	57	5
3,388930904	2008	45	67267	75	0
3,230909983	2547	37	126846	135	5
3,334810581	1885	33	41140	68	0
3,296550075	1626	33	102860	124	7
3,213100481	1468	25	51715	33	5
3,359322749	2445	32	55801	98	5
3,391681398	1964	29	111813	58	4
3,260344897	1381	28	120293	68	7
3,297500987	1369	28	138599	81	0
3,376358574	1659	31	161647	131	7
3,42107616	2888	52	115929	110	5
3,060303396	1290	21	24266	37	6
3,474845309	2845	24	162901	130	5
3,3660777	1982	41	109825	93	6
3,37661489	1904	33	129838	118	5
3,223370493	1391	32	37510	39	7
2,86163539	602	19	43750	13	0
3,246237736	1743	20	40652	74	0
3,264159459	1559	31	87771	81	6
3,330334326	2014	31	85872	109	0
3,381078218	2143	32	89275	151	0
3,359750092	2146	18	44418	51	6
3,10598121	874	23	192565	28	6
3,084378504	1590	17	35232	40	7
3,196912787	1590	20	40909	56	6
2,96168116	1210	12	13294	27	6
3,178989684	2072	17	32387	37	0
3,109907189	1281	30	140867	83	5
3,365324233	1401	31	120662	54	0
3,048626753	834	10	21233	27	0
3,113716178	1105	13	44332	28	7
3,112249029	1272	22	61056	59	6
3,392300679	1944	42	101338	133	5
2,688139407	391	1	1168	12	6
2,850224414	761	9	13497	0	0
3,239440287	1605	32	65567	106	6
2,964030376	530	11	25162	23	0
3,10738375	1988	25	32334	44	6
3,194921123	1386	36	40735	71	6
3,481994422	2395	31	91413	116	5
2,665545273	387	0	855	4	5
3,3426323	1742	24	97068	62	4
2,684773093	620	13	44339	12	7
2,772692669	449	8	14116	18	6
2,883091932	800	13	10288	14	6
3,193042217	1684	19	65622	60	6
3,081329075	1050	18	16563	7	0
3,393995313	2699	33	76643	98	4
3,30085889	1606	40	110681	64	0
3,039556987	1502	22	29011	29	0
3,185133106	1204	38	92696	32	4
3,100940311	1138	24	94785	25	7
2,826719943	568	8	8773	16	0
3,23655568	1459	35	83209	48	0
3,430035081	2158	43	93815	100	7
3,279039575	1111	43	86687	46	6
3,13138611	1421	14	34553	45	4
3,493396784	2833	41	105547	129	6
3,40187326	1955	38	103487	130	0
3,516745024	2922	45	213688	136	6
3,250848673	1002	31	71220	59	5
3,104130954	1060	13	23517	25	0
3,059827581	956	28	56926	32	0
3,372186728	2186	31	91721	63	6
3,51728922	3604	40	115168	95	0
3,055453733	1035	30	111194	14	7
3,165077624	1417	16	51009	36	5
3,489699429	3261	37	135777	113	6
3,191537047	1587	30	51513	47	6
3,334100768	1424	35	74163	92	6
3,265783524	1701	32	51633	70	0
3,216193893	1249	27	75345	19	0
3,153506379	946	20	33416	50	4
3,401161271	1926	18	83305	41	5
3,462464297	3352	31	98952	91	4
3,320285857	1641	31	102372	111	7
3,280470795	2035	21	37238	41	5
3,407063377	2312	39	103772	120	6
3,120793693	1369	41	123969	135	0
3,203361134	1577	13	27142	27	0
3,326310128	2201	32	135400	87	0
3,083847007	961	18	21399	25	5
3,365000845	1900	39	130115	131	7
3,20265798	1254	14	24874	45	7
3,018451651	1335	7	34988	29	7
3,04467875	1597	17	45549	58	7
2,57267948	207	0	6023	4	0
3,295753939	1645	30	64466	47	5
3,429287942	2429	37	54990	109	6
2,398201326	151	0	1644	7	0
2,882860791	474	5	6179	12	0
2,618139172	141	1	3926	0	0
3,197007233	1639	16	32755	37	0
3,092687321	872	32	34777	37	6
3,239705923	1318	24	73224	46	0
3,101897238	1018	17	27114	15	5
3,038641134	1383	11	20760	42	0
2,951212462	1314	24	37636	7	6
3,212192889	1335	22	65461	54	6
3,160300918	1403	12	30080	54	4
3,01228975	910	19	24094	14	4
2,980670224	616	13	69008	16	6
3,106525114	1407	17	54968	33	0
3,008543881	771	15	46090	32	6
3,029700059	766	16	27507	21	0
2,89846558	473	24	10672	15	0
3,20114478	1376	15	34029	38	4
3,132534498	1232	17	46300	22	6
3,074684105	1521	18	24760	28	0
2,868136691	572	20	18779	10	0
3,031148789	1059	16	21280	31	0
3,295566252	1544	16	40662	32	5
3,198540761	1230	18	28987	32	5
3,174319192	1206	22	22827	43	0
3,084276863	1205	8	18513	27	0
3,168689696	1255	17	30594	37	6
2,918800006	613	18	24006	20	0
3,047003322	721	16	27913	32	5
2,950164898	1109	23	42744	0	6
2,922042953	740	22	12934	5	5
2,959060874	1126	13	22574	26	0
2,937064306	728	13	41385	10	5
2,980737469	689	16	18653	27	7
3,04360293	592	16	18472	11	0
3,025933091	995	20	30976	29	5
3,119678925	1613	22	63339	25	6
3,101766482	2048	17	25568	55	6
2,991751124	705	18	33747	23	0
2,768975577	301	17	4154	5	3
3,201906854	1803	12	19474	43	6
3,014820069	799	7	35130	23	0
2,969950443	861	17	39067	34	4
2,961172129	1186	14	13310	36	0
3,020467046	1451	23	65892	35	6
2,775805966	628	17	4143	0	6
3,045405083	1161	14	28579	37	6
3,065933296	1463	15	51776	28	0
2,903070932	742	17	21152	16	0
2,981878508	979	21	38084	26	5
2,938487555	675	18	27717	38	4
3,251625863	1241	18	32928	23	7
2,881610915	676	17	11342	22	0
3,015304447	1049	17	19499	30	6
2,828035732	620	16	16380	16	0
3,081871163	1081	15	36874	18	6
3,211251212	1688	21	48259	28	7
2,914693877	736	16	16734	32	0
2,911391551	617	14	28207	21	7
3,002669872	812	15	30143	23	0
3,05776495	1051	17	41369	29	0
3,115299727	1656	15	45833	50	6
3,064169308	705	15	29156	12	6
3,060778535	945	10	35944	21	0
2,799690732	554	6	36278	18	0
3,235454896	1597	22	45588	27	7
3,106426846	982	21	45097	41	7
2,643467633	222	1	3895	13	0
3,105695081	1212	18	28394	12	6
3,062605914	1143	17	18632	21	7
2,767635006	435	4	2325	8	7
2,775220343	532	10	25139	26	5
3,074886491	882	16	27975	27	5
2,965118675	608	16	14483	13	0
2,840518675	459	9	13127	16	0
2,737903319	578	16	5839	2	0
3,028609336	826	17	24069	42	0
2,821177538	509	7	3738	5	0
2,925476806	717	15	18625	37	0
2,901766844	637	14	36341	17	0
3,055917972	857	14	24548	38	0
2,974788928	830	18	21792	37	4
2,952134253	652	12	26263	29	5
3,162122445	707	16	23686	32	6
3,027491682	954	21	49303	35	6
3,117943498	1461	19	25659	17	0
3,001801066	672	16	28904	20	0
2,862435185	778	1	2781	7	0
3,12211313	1141	16	29236	46	0
2,96571545	680	10	19546	24	0
2,997400864	1090	19	22818	40	0
2,919895484	616	12	32689	3	0
2,648998252	285	2	5752	10	7
3,064176271	1145	14	22197	37	0
3,055089032	733	17	20055	17	6
3,032288667	888	19	25272	28	0
3,072541479	849	14	82206	19	0
3,078905472	1182	11	32073	29	0
2,841193783	528	4	5444	8	0
2,974843706	642	16	20154	10	6
2,907418992	947	20	36944	15	0
2,938283159	819	12	8019	15	0
2,968413029	757	15	30884	28	0
3,010882379	894	16	19540	17	7

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	14 seconds
R Server	'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=202089&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=202089&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=202089&T=0

As an alternative you can also use a QR Code:

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

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	14 seconds
R Server	'Herman Ole Andreas Wold' @ wold.wessa.net

Multiple Linear Regression - Estimated Regression Equation
time_in_rfc[t] = + 2.74046585859153 + 0.000137458323772171pageviews[t] + 0.00598748301207604compendiums_reviewed[t] + 4.75025461660508e-07totsize[t] + 0.000767207560552339blogged_computations[t] + 0.00240237935005802Q1_28[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
time_in_rfc[t] =  +  2.74046585859153 +  0.000137458323772171pageviews[t] +  0.00598748301207604compendiums_reviewed[t] +  4.75025461660508e-07totsize[t] +  0.000767207560552339blogged_computations[t] +  0.00240237935005802Q1_28[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=202089&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]time_in_rfc[t] =  +  2.74046585859153 +  0.000137458323772171pageviews[t] +  0.00598748301207604compendiums_reviewed[t] +  4.75025461660508e-07totsize[t] +  0.000767207560552339blogged_computations[t] +  0.00240237935005802Q1_28[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=202089&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=202089&T=1

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Estimated Regression Equation
time_in_rfc[t] = + 2.74046585859153 + 0.000137458323772171pageviews[t] + 0.00598748301207604compendiums_reviewed[t] + 4.75025461660508e-07totsize[t] + 0.000767207560552339blogged_computations[t] + 0.00240237935005802Q1_28[t] + e[t]

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	2.74046585859153	0.0145	188.9959	0	0
pageviews	0.000137458323772171	1.1e-05	12.189	0	0
compendiums_reviewed	0.00598748301207604	0.000831	7.2021	0	0
totsize	4.75025461660508e-07	0	2.1787	0.030178	0.015089
blogged_computations	0.000767207560552339	0.000277	2.7733	0.00592	0.00296
Q1_28	0.00240237935005802	0.001845	1.3018	0.194059	0.09703

\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) & 2.74046585859153 & 0.0145 & 188.9959 & 0 & 0 \tabularnewline
pageviews & 0.000137458323772171 & 1.1e-05 & 12.189 & 0 & 0 \tabularnewline
compendiums_reviewed & 0.00598748301207604 & 0.000831 & 7.2021 & 0 & 0 \tabularnewline
totsize & 4.75025461660508e-07 & 0 & 2.1787 & 0.030178 & 0.015089 \tabularnewline
blogged_computations & 0.000767207560552339 & 0.000277 & 2.7733 & 0.00592 & 0.00296 \tabularnewline
Q1_28 & 0.00240237935005802 & 0.001845 & 1.3018 & 0.194059 & 0.09703 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=202089&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]2.74046585859153[/C][C]0.0145[/C][C]188.9959[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]pageviews[/C][C]0.000137458323772171[/C][C]1.1e-05[/C][C]12.189[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]0.00598748301207604[/C][C]0.000831[/C][C]7.2021[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]totsize[/C][C]4.75025461660508e-07[/C][C]0[/C][C]2.1787[/C][C]0.030178[/C][C]0.015089[/C][/ROW]
[ROW][C]blogged_computations[/C][C]0.000767207560552339[/C][C]0.000277[/C][C]2.7733[/C][C]0.00592[/C][C]0.00296[/C][/ROW]
[ROW][C]Q1_28[/C][C]0.00240237935005802[/C][C]0.001845[/C][C]1.3018[/C][C]0.194059[/C][C]0.09703[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=202089&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=202089&T=2

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	2.74046585859153	0.0145	188.9959	0	0
pageviews	0.000137458323772171	1.1e-05	12.189	0	0
compendiums_reviewed	0.00598748301207604	0.000831	7.2021	0	0
totsize	4.75025461660508e-07	0	2.1787	0.030178	0.015089
blogged_computations	0.000767207560552339	0.000277	2.7733	0.00592	0.00296
Q1_28	0.00240237935005802	0.001845	1.3018	0.194059	0.09703

Multiple Linear Regression - Regression Statistics
Multiple R	0.909036522592919
R-squared	0.826347399407826
Adjusted R-squared	0.823268452588816
F-TEST (value)	268.386382741577
F-TEST (DF numerator)	5
F-TEST (DF denominator)	282
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.0887791019895871
Sum Squared Residuals	2.22264756392186

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.909036522592919 \tabularnewline
R-squared & 0.826347399407826 \tabularnewline
Adjusted R-squared & 0.823268452588816 \tabularnewline
F-TEST (value) & 268.386382741577 \tabularnewline
F-TEST (DF numerator) & 5 \tabularnewline
F-TEST (DF denominator) & 282 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 0.0887791019895871 \tabularnewline
Sum Squared Residuals & 2.22264756392186 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=202089&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.909036522592919[/C][/ROW]
[ROW][C]R-squared[/C][C]0.826347399407826[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.823268452588816[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]268.386382741577[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]5[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]282[/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]0.0887791019895871[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]2.22264756392186[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=202089&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=202089&T=3

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Regression Statistics
Multiple R	0.909036522592919
R-squared	0.826347399407826
Adjusted R-squared	0.823268452588816
F-TEST (value)	268.386382741577
F-TEST (DF numerator)	5
F-TEST (DF denominator)	282
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.0887791019895871
Sum Squared Residuals	2.22264756392186

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	3.166464608	3.12435211034235	0.04211249765765
2	3.286476783	3.27583134025488	0.0106454427451221
3	3.29159842	3.34957749626843	-0.0579790762684304
4	3.172097125	3.05185605677775	0.120241068222248
5	2.917880593	2.99232476503761	-0.0744441720376136
6	3.549331417	3.4916155244369	0.0577158925631045
7	2.787585412	2.91083870419302	-0.123253292193018
8	3.112617164	2.9936645812847	0.118952582715298
9	3.232225797	3.21392437327384	0.018301423726158
10	3.265595013	3.18028277271279	0.0853122402872103
11	3.38355752	3.31616889751896	0.0673886224810384
12	3.280593845	3.30945495599629	-0.0288611109962926
13	3.196447267	3.18204280341334	0.0144044635866595
14	3.41280065	3.39858906769957	0.0142115823004296
15	3.292973325	3.22290721429895	0.0700661107010541
16	3.489912189	3.75697212462946	-0.267059935629464
17	3.374673049	3.30843112461702	0.066241924382981
18	3.382955786	3.34118108251119	0.0417747034888111
19	3.201941772	3.14524399949005	0.0566977725099509
20	3.331930651	3.35746837954756	-0.02553772854756
21	3.351177732	3.36252919467737	-0.0113514626773739
22	3.510007237	3.33860254372879	0.171404693271209
23	3.242484174	3.13936370776162	0.103120466238382
24	3.196002436	3.26115468544257	-0.0651522494425673
25	3.283190383	3.42655397234358	-0.143363589343576
26	3.282618086	3.3309310631542	-0.048312977154199
27	3.366795815	3.36887087479844	-0.0020750597984379
28	3.363968236	3.29029072282862	0.0736775131713765
29	3.17621148	3.12559852369983	0.0506129563001678
30	3.361091858	3.3046757322991	0.0564161257009029
31	3.344396201	3.32288220095734	0.0215140000426569
32	3.274843895	3.28991107709068	-0.0150671820906836
33	3.414985875	3.36616886967232	0.0488170053276766
34	3.057754304	3.08940712050045	-0.031652816500453
35	3.456327842	3.41981832716462	0.0365095148353778
36	3.110699706	2.9683687669502	0.142330939049802
37	3.351934761	3.27971879598685	0.0722159650131513
38	3.490237979	3.43841815803997	0.0518198209600325
39	2.397445642	2.78112334414545	-0.383677702145445
40	3.26964639	3.18577604346588	0.0838703465341156
41	3.126687047	2.99768846279597	0.128998584204032
42	3.096924276	3.14627652348022	-0.0493522474802161
43	3.421648446	3.4045713881377	0.0170770578623017
44	3.426538534	3.41231450078968	0.0142240332103163
45	3.232334693	3.21817657659629	0.0141581164037049
46	3.285220306	3.30636785562996	-0.0211475496299568
47	3.24027	3.19825288041255	0.0420171195874534
48	3.141571707	3.13577275651419	0.00579895048581047
49	3.154468489	3.3225853470101	-0.168116858010104
50	3.527671345	3.65677165470786	-0.129100309707859
51	3.035548408	3.05336235038898	-0.0178139423889766
52	3.298484868	3.34685940678501	-0.0483745387850078
53	3.436801551	3.5919186077409	-0.155117056740905
54	3.235558571	3.2727409971863	-0.0371824261863009
55	3.272073282	3.2104254637259	0.0616478182741031
56	2.702223892	2.85837583666254	-0.156151944662536
57	3.494611213	3.41368487039792	0.0809263426020773
58	2.978664445	2.9820834582695	-0.00341901326950398
59	3.110960438	3.02195474363675	0.0890056943632454
60	3.356959651	3.35084957749842	0.00611007350158202
61	3.393042179	3.4587217022316	-0.0656795232316035
62	3.507259418	3.65077726279034	-0.143517844790344
63	3.118453789	3.03795088311216	0.0805029058878385
64	3.378059245	3.40636245180536	-0.0283032068053602
65	3.409657073	3.38238652565441	0.0272705473455946
66	3.337126301	3.24354741114967	0.0935788898503307
67	3.475542679	3.56164724670649	-0.0861045677064923
68	3.381567219	3.38409140454149	-0.00252418554148938
69	3.28909133	3.30691597673826	-0.0178246467382564
70	3.338740819	3.28495494346426	0.0537858755357414
71	3.321477767	3.17374748244719	0.14773028455281
72	3.282189656	3.17935147547396	0.102838180526037
73	3.219583634	3.22425417595889	-0.00467054195889334
74	3.306191303	3.37478262351922	-0.0685913205192222
75	3.306403039	3.30129891124128	0.00510412775871726
76	3.161359411	3.18037301747363	-0.0190136064736299
77	3.296751508	3.33939911801759	-0.042647610017595
78	3.01507042	3.04296521932216	-0.0278947993221646
79	3.318848699	3.30795955400055	0.0108891449994533
80	3.269542588	3.2105005953936	0.0590419926064019
81	3.220710738	3.26530849223372	-0.0445977542337154
82	3.433838202	3.32654952857986	0.10728867342014
83	3.391872373	3.29075165195466	0.101120721045336
84	3.298186791	3.33064324297698	-0.0324564519769848
85	3.202351214	3.22363609901354	-0.0212848850135431
86	3.239073925	3.22437707518322	0.0146968498167796
87	3.16449742	3.12831668816522	0.0361807318347793
88	3.51219779	3.53159447981432	-0.0193966898143188
89	3.225170333	3.11856894129259	0.106601391707405
90	3.316088958	3.3097580401563	0.00633091784369598
91	3.043617742	2.97244452652713	0.0711732154728671
92	3.171053229	3.14473539493406	0.0263178340659395
93	3.190374416	3.17250382933081	0.0178705866691913
94	3.144182912	3.05140582207244	0.0927770899275641
95	3.447015513	3.4253759069369	0.0216396060630981
96	3.388930904	3.37541301304041	0.0135178909595864
97	3.230909983	3.48794907782071	-0.257039094820707
98	3.334810581	3.26887439991085	0.0659361810891466
99	3.296550075	3.32237154438889	-0.0258214693888853
100	3.213100481	3.15383744118927	0.0592630398107319
101	3.359322749	3.38185605007146	-0.0225333010714582
102	3.391681398	3.29129259168719	0.100388806312807
103	3.260344897	3.22407433548652	0.0362705615134803
104	3.297500987	3.22427769453919	0.0732232924608147
105	3.376358574	3.34822847778772	0.0281300962122828
106	3.42107616	3.6002685694294	-0.179192409429402
107	3.060303396	3.09785216320467	-0.0375487672046656
108	3.474845309	3.46436538436523	0.0104799246347667
109	3.3660777	3.39632931036167	-0.0302516103616712
110	3.37661489	3.3639921912388	0.0126226987612043
111	3.223370493	3.18782579872389	0.0355446942761141
112	2.86163539	2.96773400896665	-0.106098618966649
113	3.246237736	3.17588947171624	0.0703482642837594
114	3.264159459	3.25862690702719	0.00553255197280649
115	3.330334326	3.32733590658696	0.00299841941304471
116	3.381078218	3.38489474255487	-0.00381652455487046
117	3.359750092	3.21786765826853	0.141882433731469
118	3.10598121	3.12568590866663	-0.0197046986666256
119	3.084378504	3.1250528595323	-0.0406743555322969
120	3.196912787	3.15558496973315	0.0413278172668489
121	2.96168116	3.02008409522335	-0.0584029352233453
122	3.178989684	3.17083804602	0.00815163798000394
123	3.109907189	3.23877999768983	-0.128872808689827
124	3.365324233	3.21740367409541	0.147920558904595
125	3.048626753	2.94578175050063	0.102845002499369
126	3.113716178	3.02955188142897	0.0841642965710273
127	3.112249029	3.13572014945548	-0.0234711204554842
128	3.392300679	3.42134775904933	-0.0290470800493276
129	2.688139407	2.82437514276472	-0.13623573576472
130	2.850224414	2.90537040874687	-0.0551459947468683
131	3.239440287	3.27957019659589	-0.0401299095958881
132	2.964030376	2.90877944788262	0.0552509281173777
133	3.10738375	3.22695096359449	-0.119567213594489
134	3.194921123	3.2347686588548	-0.0398475358548013
135	3.481994422	3.39972199370137	0.0822724282986304
136	2.665545273	2.80914910365358	-0.143603830653579
137	3.3426323	3.22690400855942	0.115728291440584
138	2.684773093	2.95061259860886	-0.265839505608864
139	2.772692669	2.88501398166893	-0.112321312668933
140	2.883091932	2.9583120406639	-0.0752201086638992
141	3.193042217	3.17732670363188	0.0157155133681152
142	3.081329075	3.00581009241503	0.0755189825849728
143	3.393995313	3.43025604864354	-0.0362607356435358
144	3.30085889	3.30240082405007	-0.00154193405007409
145	3.039556987	3.11468287008725	-0.0751258830872541
146	3.185133106	3.2116831544041	-0.0265500484041027
147	3.100940311	3.12161515618179	-0.0206748451817912
148	2.826719943	2.88288476993472	-0.0561648269347163
149	3.23655568	3.22693181494361	0.00962386505638986
150	3.430035081	3.43266461600246	-0.00262953500246468
151	3.279039575	3.2415281819024	0.0375113930975984
152	3.13138611	3.08016631124269	0.0512197987573077
153	3.493396784	3.53889365714669	-0.0454968731466887
154	3.40187326	3.38561717884768	0.0162560811523214
155	3.516745024	3.63181756138401	-0.115072537384012
156	3.250848673	3.15491952858794	0.0959291444120582
157	3.104130954	2.9943603237427	0.109770630257302
158	3.059827581	3.09111748182402	-0.0312899008240154
159	3.372186728	3.33287989051596	0.0393068374840385
160	3.51728922	3.60295742857046	-0.0856682085704647
161	3.055453733	3.14273725654003	-0.0872835235400256
162	3.165077624	3.09490597427393	0.070171649726072
163	3.489699429	3.57586058641003	-0.0861611574100337
164	3.191537047	3.21317972683307	-0.0216426798330719
165	3.334100768	3.26599510205005	0.0681056659499456
166	3.265783524	3.24411344261501	0.0216700813849936
167	3.216193893	3.12418108336833	0.09201280963167
168	3.153506379	3.05409443937622	0.099411939623779
169	3.401161271	3.19602468721066	0.205136583789336
170	3.462464297	3.51326825814293	-0.0508039611429292
171	3.320285857	3.30225294250884	0.0180329144911552
172	3.280470795	3.20708709559574	0.0733836994042555
173	3.407063377	3.44755486619782	-0.0404914891978174
174	3.120793693	3.33659455946191	-0.215800866461907
175	3.203361134	3.06868265955253	0.134678474447466
176	3.326310128	3.3656765908774	-0.0393664628773976
177	3.083847007	3.02169515757213	0.0621518494278735
178	3.365000845	3.41427729505634	-0.0492764500563397
179	3.20265798	3.0598201377795	0.142837842220499
180	3.018451651	3.02157096747091	-0.00311931647091219
181	3.04467875	3.1447256415766	-0.100046891576596
182	2.57267948	2.77484964021016	-0.20217016021016
183	3.295753939	3.22490293506669	0.0708510039333114
184	3.429287942	3.42005054881821	0.00923739318178951
185	2.398201326	2.76737346026396	-0.369172134263964
186	2.882860791	2.84770019217415	0.0351605988258527
187	2.618139172	2.76769991521796	-0.149560743217962
188	3.197007233	3.10550591818446	0.0915013148155389
189	3.092687321	3.11124988962825	-0.0185625686282483
190	3.239705923	3.13541033380311	0.104295589196887
191	3.101897238	3.01858549392293	0.0833117440770691
192	3.038641134	3.03851727962855	0.000123854371451144
193	2.951212462	3.10244847561726	-0.151236013617257
194	3.212192889	3.14263647320898	0.0695564157910164
195	3.160300918	3.0704971745456	0.0898037434543954
196	3.01228975	3.01111079717486	0.00117895282513656
197	2.980670224	2.96244761931963	0.0182226046803701
198	3.106525114	3.08708598041905	0.0194391335809511
199	3.008543881	2.99711731296697	0.0114265680330299
200	3.029700059	2.97073654693972	0.0589635120602759
201	2.89846558	2.96576082316072	-0.0672952431607179
202	3.20114478	3.07434880341924	0.126795976580756
203	3.132534498	3.06488824599152	0.0676462520084819
204	3.074684105	3.09055810539255	-0.0158740003925503
205	2.868136691	2.95543425878078	-0.0872975677807784
206	3.031148789	3.01572592786073	0.0154228611392663
207	3.295566252	3.10437926269898	0.191186989301017
208	3.198540761	3.06764639279379	0.130894368206213
209	3.174319192	3.08179855464352	0.0925206373564842
210	3.084276863	2.98351175334024	0.100765109659762
211	3.168689696	3.07209715094572	0.0965925450542767
212	2.918800006	2.95925011772491	-0.0404501117249083
213	3.047003322	2.98519496262378	0.0618083593762236
214	2.950164898	3.06533801336618	-0.115173115366181
215	2.922042953	2.99590155832278	-0.0738586053227781
216	2.959060874	3.00375183166187	-0.044690957661868
217	2.937064306	2.95771569854129	-0.0206513925412926
218	2.980737469	2.97736628138545	0.00337118761455501
219	3.04360293	2.93485486795174	0.10874806204826
220	3.025933091	3.04596185569306	-0.0200287646930644
221	3.119678925	3.15759286393199	-0.0379139389319858
222	3.101766482	3.19252385981669	-0.0907573778166911
223	2.991751124	2.97882512921564	0.0129259947843597
224	2.768975577	2.89664445687292	-0.12766887987292
225	3.201906854	3.11680785954214	0.0850989944578584
226	3.014820069	2.92654085873086	0.088279210269136
227	2.969950443	3.01485708073436	-0.0449066377343643
228	2.961172129	3.02125825382897	-0.0600861248289747
229	3.020467046	3.15019691410211	-0.129729868102113
230	2.775805966	2.94495920371375	-0.169153237713754
231	3.045405083	3.04025644316967	0.00514863983033473
232	3.065933296	3.07745636144976	-0.0115230654497565
233	2.903070932	2.96657020556965	-0.063499273569654
234	2.981878508	3.05082486382461	-0.0689463558246119
235	2.938487555	2.99295460677718	-0.0544670517771793
236	3.251625863	3.06893040035483	0.18269546264517
237	2.881610915	2.95744120178512	-0.0758302867851151
238	3.015304447	3.03313987582767	-0.0178354288276663
239	2.828035732	2.94154598555433	-0.113510253554329
240	3.081871163	3.02461065283395	0.0572605101660532
241	3.211251212	3.1594553732727	0.0517958387273029
242	2.914693877	2.96993463109417	-0.0552407540941662
243	2.911391551	2.95542946394709	-0.0440379129470873
244	3.002669872	2.97385872905921	0.02881114294079
245	3.05776495	3.02862211566083	0.0291428343391746
246	3.115299727	3.13245558405164	-0.0171558570516365
247	3.064169308	2.9646568312192	0.0995124767807989
248	3.060778535	2.96342447864252	0.0973540563574837
249	2.799690732	2.88358537782183	-0.0838946458218307
250	3.235454896	3.15089814825286	0.0845567477471416
251	3.106426846	3.07088146446695	0.0355453815330456
252	2.643467633	2.78879301194138	-0.145325378941376
253	3.105695081	3.05194868100613	0.0537463999938655
254	3.062605914	3.04114662249208	0.0214592915079224
255	2.767635006	2.84826891161391	-0.0806339056139141
256	2.775220343	2.91736947536442	-0.14214913236442
257	3.074886491	3.00351916652696	0.0713673244730428
258	2.965118675	2.93669373968664	0.0284249353133638
259	2.840518675	2.8759575565157	-0.0354388815156955
260	2.737903319	2.9200245867168	-0.182121267716802
261	3.028609336	2.99944975061254	0.0291595853874594
262	2.821177538	2.85795620945455	-0.0367786714545457
263	2.925476806	2.96606975088118	-0.0405929448811808
264	2.901766844	2.94215700183506	-0.0403901578350617
265	3.055917972	2.98290721656718	0.0730107554328241
266	2.974788928	3.01067891354097	-0.0358899855409748
267	2.952134253	2.9486749915418	0.00345926145820435
268	3.162122445	2.98366499281459	0.178457452185415
269	3.027491682	3.06202496377971	-0.0345332817797059
270	3.117943498	3.08028585370225	0.0376576442977468
271	3.001801066	2.95771186751453	0.0440891984854725
272	2.862435185	2.8600874162311	0.00234776876890072
273	3.12211313	3.04228492639131	0.0798282036086921
274	2.96571545	2.92151017800424	0.0442052719957608
275	2.997400864	3.0455850421389	-0.0481841781389041
276	2.919895484	2.91481971217798	0.00507577182202291
277	2.648998252	2.81883752440215	-0.169839272402151
278	3.064176271	3.02061122139264	0.0435650496073551
279	3.055089032	2.97999346138516	0.0750955706148369
280	3.032288667	3.00977768249321	0.0225109845067877
281	3.072541479	2.99461962439493	0.0779218546050741
282	3.078905472	3.00628842131093	0.0726170506890726
283	2.841193783	2.84571748468924	-0.00452370168923882
284	2.974843706	2.95617384550666	0.0186698604933424
285	2.907418992	3.01944600550917	-0.112027013509167
286	2.938283159	2.94021136449119	-0.00192820549119104
287	2.968413029	2.97048655292159	-0.00207352392159239
288	3.010882379	2.99829450973771	0.0125878692622903

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 3.166464608 & 3.12435211034235 & 0.04211249765765 \tabularnewline
2 & 3.286476783 & 3.27583134025488 & 0.0106454427451221 \tabularnewline
3 & 3.29159842 & 3.34957749626843 & -0.0579790762684304 \tabularnewline
4 & 3.172097125 & 3.05185605677775 & 0.120241068222248 \tabularnewline
5 & 2.917880593 & 2.99232476503761 & -0.0744441720376136 \tabularnewline
6 & 3.549331417 & 3.4916155244369 & 0.0577158925631045 \tabularnewline
7 & 2.787585412 & 2.91083870419302 & -0.123253292193018 \tabularnewline
8 & 3.112617164 & 2.9936645812847 & 0.118952582715298 \tabularnewline
9 & 3.232225797 & 3.21392437327384 & 0.018301423726158 \tabularnewline
10 & 3.265595013 & 3.18028277271279 & 0.0853122402872103 \tabularnewline
11 & 3.38355752 & 3.31616889751896 & 0.0673886224810384 \tabularnewline
12 & 3.280593845 & 3.30945495599629 & -0.0288611109962926 \tabularnewline
13 & 3.196447267 & 3.18204280341334 & 0.0144044635866595 \tabularnewline
14 & 3.41280065 & 3.39858906769957 & 0.0142115823004296 \tabularnewline
15 & 3.292973325 & 3.22290721429895 & 0.0700661107010541 \tabularnewline
16 & 3.489912189 & 3.75697212462946 & -0.267059935629464 \tabularnewline
17 & 3.374673049 & 3.30843112461702 & 0.066241924382981 \tabularnewline
18 & 3.382955786 & 3.34118108251119 & 0.0417747034888111 \tabularnewline
19 & 3.201941772 & 3.14524399949005 & 0.0566977725099509 \tabularnewline
20 & 3.331930651 & 3.35746837954756 & -0.02553772854756 \tabularnewline
21 & 3.351177732 & 3.36252919467737 & -0.0113514626773739 \tabularnewline
22 & 3.510007237 & 3.33860254372879 & 0.171404693271209 \tabularnewline
23 & 3.242484174 & 3.13936370776162 & 0.103120466238382 \tabularnewline
24 & 3.196002436 & 3.26115468544257 & -0.0651522494425673 \tabularnewline
25 & 3.283190383 & 3.42655397234358 & -0.143363589343576 \tabularnewline
26 & 3.282618086 & 3.3309310631542 & -0.048312977154199 \tabularnewline
27 & 3.366795815 & 3.36887087479844 & -0.0020750597984379 \tabularnewline
28 & 3.363968236 & 3.29029072282862 & 0.0736775131713765 \tabularnewline
29 & 3.17621148 & 3.12559852369983 & 0.0506129563001678 \tabularnewline
30 & 3.361091858 & 3.3046757322991 & 0.0564161257009029 \tabularnewline
31 & 3.344396201 & 3.32288220095734 & 0.0215140000426569 \tabularnewline
32 & 3.274843895 & 3.28991107709068 & -0.0150671820906836 \tabularnewline
33 & 3.414985875 & 3.36616886967232 & 0.0488170053276766 \tabularnewline
34 & 3.057754304 & 3.08940712050045 & -0.031652816500453 \tabularnewline
35 & 3.456327842 & 3.41981832716462 & 0.0365095148353778 \tabularnewline
36 & 3.110699706 & 2.9683687669502 & 0.142330939049802 \tabularnewline
37 & 3.351934761 & 3.27971879598685 & 0.0722159650131513 \tabularnewline
38 & 3.490237979 & 3.43841815803997 & 0.0518198209600325 \tabularnewline
39 & 2.397445642 & 2.78112334414545 & -0.383677702145445 \tabularnewline
40 & 3.26964639 & 3.18577604346588 & 0.0838703465341156 \tabularnewline
41 & 3.126687047 & 2.99768846279597 & 0.128998584204032 \tabularnewline
42 & 3.096924276 & 3.14627652348022 & -0.0493522474802161 \tabularnewline
43 & 3.421648446 & 3.4045713881377 & 0.0170770578623017 \tabularnewline
44 & 3.426538534 & 3.41231450078968 & 0.0142240332103163 \tabularnewline
45 & 3.232334693 & 3.21817657659629 & 0.0141581164037049 \tabularnewline
46 & 3.285220306 & 3.30636785562996 & -0.0211475496299568 \tabularnewline
47 & 3.24027 & 3.19825288041255 & 0.0420171195874534 \tabularnewline
48 & 3.141571707 & 3.13577275651419 & 0.00579895048581047 \tabularnewline
49 & 3.154468489 & 3.3225853470101 & -0.168116858010104 \tabularnewline
50 & 3.527671345 & 3.65677165470786 & -0.129100309707859 \tabularnewline
51 & 3.035548408 & 3.05336235038898 & -0.0178139423889766 \tabularnewline
52 & 3.298484868 & 3.34685940678501 & -0.0483745387850078 \tabularnewline
53 & 3.436801551 & 3.5919186077409 & -0.155117056740905 \tabularnewline
54 & 3.235558571 & 3.2727409971863 & -0.0371824261863009 \tabularnewline
55 & 3.272073282 & 3.2104254637259 & 0.0616478182741031 \tabularnewline
56 & 2.702223892 & 2.85837583666254 & -0.156151944662536 \tabularnewline
57 & 3.494611213 & 3.41368487039792 & 0.0809263426020773 \tabularnewline
58 & 2.978664445 & 2.9820834582695 & -0.00341901326950398 \tabularnewline
59 & 3.110960438 & 3.02195474363675 & 0.0890056943632454 \tabularnewline
60 & 3.356959651 & 3.35084957749842 & 0.00611007350158202 \tabularnewline
61 & 3.393042179 & 3.4587217022316 & -0.0656795232316035 \tabularnewline
62 & 3.507259418 & 3.65077726279034 & -0.143517844790344 \tabularnewline
63 & 3.118453789 & 3.03795088311216 & 0.0805029058878385 \tabularnewline
64 & 3.378059245 & 3.40636245180536 & -0.0283032068053602 \tabularnewline
65 & 3.409657073 & 3.38238652565441 & 0.0272705473455946 \tabularnewline
66 & 3.337126301 & 3.24354741114967 & 0.0935788898503307 \tabularnewline
67 & 3.475542679 & 3.56164724670649 & -0.0861045677064923 \tabularnewline
68 & 3.381567219 & 3.38409140454149 & -0.00252418554148938 \tabularnewline
69 & 3.28909133 & 3.30691597673826 & -0.0178246467382564 \tabularnewline
70 & 3.338740819 & 3.28495494346426 & 0.0537858755357414 \tabularnewline
71 & 3.321477767 & 3.17374748244719 & 0.14773028455281 \tabularnewline
72 & 3.282189656 & 3.17935147547396 & 0.102838180526037 \tabularnewline
73 & 3.219583634 & 3.22425417595889 & -0.00467054195889334 \tabularnewline
74 & 3.306191303 & 3.37478262351922 & -0.0685913205192222 \tabularnewline
75 & 3.306403039 & 3.30129891124128 & 0.00510412775871726 \tabularnewline
76 & 3.161359411 & 3.18037301747363 & -0.0190136064736299 \tabularnewline
77 & 3.296751508 & 3.33939911801759 & -0.042647610017595 \tabularnewline
78 & 3.01507042 & 3.04296521932216 & -0.0278947993221646 \tabularnewline
79 & 3.318848699 & 3.30795955400055 & 0.0108891449994533 \tabularnewline
80 & 3.269542588 & 3.2105005953936 & 0.0590419926064019 \tabularnewline
81 & 3.220710738 & 3.26530849223372 & -0.0445977542337154 \tabularnewline
82 & 3.433838202 & 3.32654952857986 & 0.10728867342014 \tabularnewline
83 & 3.391872373 & 3.29075165195466 & 0.101120721045336 \tabularnewline
84 & 3.298186791 & 3.33064324297698 & -0.0324564519769848 \tabularnewline
85 & 3.202351214 & 3.22363609901354 & -0.0212848850135431 \tabularnewline
86 & 3.239073925 & 3.22437707518322 & 0.0146968498167796 \tabularnewline
87 & 3.16449742 & 3.12831668816522 & 0.0361807318347793 \tabularnewline
88 & 3.51219779 & 3.53159447981432 & -0.0193966898143188 \tabularnewline
89 & 3.225170333 & 3.11856894129259 & 0.106601391707405 \tabularnewline
90 & 3.316088958 & 3.3097580401563 & 0.00633091784369598 \tabularnewline
91 & 3.043617742 & 2.97244452652713 & 0.0711732154728671 \tabularnewline
92 & 3.171053229 & 3.14473539493406 & 0.0263178340659395 \tabularnewline
93 & 3.190374416 & 3.17250382933081 & 0.0178705866691913 \tabularnewline
94 & 3.144182912 & 3.05140582207244 & 0.0927770899275641 \tabularnewline
95 & 3.447015513 & 3.4253759069369 & 0.0216396060630981 \tabularnewline
96 & 3.388930904 & 3.37541301304041 & 0.0135178909595864 \tabularnewline
97 & 3.230909983 & 3.48794907782071 & -0.257039094820707 \tabularnewline
98 & 3.334810581 & 3.26887439991085 & 0.0659361810891466 \tabularnewline
99 & 3.296550075 & 3.32237154438889 & -0.0258214693888853 \tabularnewline
100 & 3.213100481 & 3.15383744118927 & 0.0592630398107319 \tabularnewline
101 & 3.359322749 & 3.38185605007146 & -0.0225333010714582 \tabularnewline
102 & 3.391681398 & 3.29129259168719 & 0.100388806312807 \tabularnewline
103 & 3.260344897 & 3.22407433548652 & 0.0362705615134803 \tabularnewline
104 & 3.297500987 & 3.22427769453919 & 0.0732232924608147 \tabularnewline
105 & 3.376358574 & 3.34822847778772 & 0.0281300962122828 \tabularnewline
106 & 3.42107616 & 3.6002685694294 & -0.179192409429402 \tabularnewline
107 & 3.060303396 & 3.09785216320467 & -0.0375487672046656 \tabularnewline
108 & 3.474845309 & 3.46436538436523 & 0.0104799246347667 \tabularnewline
109 & 3.3660777 & 3.39632931036167 & -0.0302516103616712 \tabularnewline
110 & 3.37661489 & 3.3639921912388 & 0.0126226987612043 \tabularnewline
111 & 3.223370493 & 3.18782579872389 & 0.0355446942761141 \tabularnewline
112 & 2.86163539 & 2.96773400896665 & -0.106098618966649 \tabularnewline
113 & 3.246237736 & 3.17588947171624 & 0.0703482642837594 \tabularnewline
114 & 3.264159459 & 3.25862690702719 & 0.00553255197280649 \tabularnewline
115 & 3.330334326 & 3.32733590658696 & 0.00299841941304471 \tabularnewline
116 & 3.381078218 & 3.38489474255487 & -0.00381652455487046 \tabularnewline
117 & 3.359750092 & 3.21786765826853 & 0.141882433731469 \tabularnewline
118 & 3.10598121 & 3.12568590866663 & -0.0197046986666256 \tabularnewline
119 & 3.084378504 & 3.1250528595323 & -0.0406743555322969 \tabularnewline
120 & 3.196912787 & 3.15558496973315 & 0.0413278172668489 \tabularnewline
121 & 2.96168116 & 3.02008409522335 & -0.0584029352233453 \tabularnewline
122 & 3.178989684 & 3.17083804602 & 0.00815163798000394 \tabularnewline
123 & 3.109907189 & 3.23877999768983 & -0.128872808689827 \tabularnewline
124 & 3.365324233 & 3.21740367409541 & 0.147920558904595 \tabularnewline
125 & 3.048626753 & 2.94578175050063 & 0.102845002499369 \tabularnewline
126 & 3.113716178 & 3.02955188142897 & 0.0841642965710273 \tabularnewline
127 & 3.112249029 & 3.13572014945548 & -0.0234711204554842 \tabularnewline
128 & 3.392300679 & 3.42134775904933 & -0.0290470800493276 \tabularnewline
129 & 2.688139407 & 2.82437514276472 & -0.13623573576472 \tabularnewline
130 & 2.850224414 & 2.90537040874687 & -0.0551459947468683 \tabularnewline
131 & 3.239440287 & 3.27957019659589 & -0.0401299095958881 \tabularnewline
132 & 2.964030376 & 2.90877944788262 & 0.0552509281173777 \tabularnewline
133 & 3.10738375 & 3.22695096359449 & -0.119567213594489 \tabularnewline
134 & 3.194921123 & 3.2347686588548 & -0.0398475358548013 \tabularnewline
135 & 3.481994422 & 3.39972199370137 & 0.0822724282986304 \tabularnewline
136 & 2.665545273 & 2.80914910365358 & -0.143603830653579 \tabularnewline
137 & 3.3426323 & 3.22690400855942 & 0.115728291440584 \tabularnewline
138 & 2.684773093 & 2.95061259860886 & -0.265839505608864 \tabularnewline
139 & 2.772692669 & 2.88501398166893 & -0.112321312668933 \tabularnewline
140 & 2.883091932 & 2.9583120406639 & -0.0752201086638992 \tabularnewline
141 & 3.193042217 & 3.17732670363188 & 0.0157155133681152 \tabularnewline
142 & 3.081329075 & 3.00581009241503 & 0.0755189825849728 \tabularnewline
143 & 3.393995313 & 3.43025604864354 & -0.0362607356435358 \tabularnewline
144 & 3.30085889 & 3.30240082405007 & -0.00154193405007409 \tabularnewline
145 & 3.039556987 & 3.11468287008725 & -0.0751258830872541 \tabularnewline
146 & 3.185133106 & 3.2116831544041 & -0.0265500484041027 \tabularnewline
147 & 3.100940311 & 3.12161515618179 & -0.0206748451817912 \tabularnewline
148 & 2.826719943 & 2.88288476993472 & -0.0561648269347163 \tabularnewline
149 & 3.23655568 & 3.22693181494361 & 0.00962386505638986 \tabularnewline
150 & 3.430035081 & 3.43266461600246 & -0.00262953500246468 \tabularnewline
151 & 3.279039575 & 3.2415281819024 & 0.0375113930975984 \tabularnewline
152 & 3.13138611 & 3.08016631124269 & 0.0512197987573077 \tabularnewline
153 & 3.493396784 & 3.53889365714669 & -0.0454968731466887 \tabularnewline
154 & 3.40187326 & 3.38561717884768 & 0.0162560811523214 \tabularnewline
155 & 3.516745024 & 3.63181756138401 & -0.115072537384012 \tabularnewline
156 & 3.250848673 & 3.15491952858794 & 0.0959291444120582 \tabularnewline
157 & 3.104130954 & 2.9943603237427 & 0.109770630257302 \tabularnewline
158 & 3.059827581 & 3.09111748182402 & -0.0312899008240154 \tabularnewline
159 & 3.372186728 & 3.33287989051596 & 0.0393068374840385 \tabularnewline
160 & 3.51728922 & 3.60295742857046 & -0.0856682085704647 \tabularnewline
161 & 3.055453733 & 3.14273725654003 & -0.0872835235400256 \tabularnewline
162 & 3.165077624 & 3.09490597427393 & 0.070171649726072 \tabularnewline
163 & 3.489699429 & 3.57586058641003 & -0.0861611574100337 \tabularnewline
164 & 3.191537047 & 3.21317972683307 & -0.0216426798330719 \tabularnewline
165 & 3.334100768 & 3.26599510205005 & 0.0681056659499456 \tabularnewline
166 & 3.265783524 & 3.24411344261501 & 0.0216700813849936 \tabularnewline
167 & 3.216193893 & 3.12418108336833 & 0.09201280963167 \tabularnewline
168 & 3.153506379 & 3.05409443937622 & 0.099411939623779 \tabularnewline
169 & 3.401161271 & 3.19602468721066 & 0.205136583789336 \tabularnewline
170 & 3.462464297 & 3.51326825814293 & -0.0508039611429292 \tabularnewline
171 & 3.320285857 & 3.30225294250884 & 0.0180329144911552 \tabularnewline
172 & 3.280470795 & 3.20708709559574 & 0.0733836994042555 \tabularnewline
173 & 3.407063377 & 3.44755486619782 & -0.0404914891978174 \tabularnewline
174 & 3.120793693 & 3.33659455946191 & -0.215800866461907 \tabularnewline
175 & 3.203361134 & 3.06868265955253 & 0.134678474447466 \tabularnewline
176 & 3.326310128 & 3.3656765908774 & -0.0393664628773976 \tabularnewline
177 & 3.083847007 & 3.02169515757213 & 0.0621518494278735 \tabularnewline
178 & 3.365000845 & 3.41427729505634 & -0.0492764500563397 \tabularnewline
179 & 3.20265798 & 3.0598201377795 & 0.142837842220499 \tabularnewline
180 & 3.018451651 & 3.02157096747091 & -0.00311931647091219 \tabularnewline
181 & 3.04467875 & 3.1447256415766 & -0.100046891576596 \tabularnewline
182 & 2.57267948 & 2.77484964021016 & -0.20217016021016 \tabularnewline
183 & 3.295753939 & 3.22490293506669 & 0.0708510039333114 \tabularnewline
184 & 3.429287942 & 3.42005054881821 & 0.00923739318178951 \tabularnewline
185 & 2.398201326 & 2.76737346026396 & -0.369172134263964 \tabularnewline
186 & 2.882860791 & 2.84770019217415 & 0.0351605988258527 \tabularnewline
187 & 2.618139172 & 2.76769991521796 & -0.149560743217962 \tabularnewline
188 & 3.197007233 & 3.10550591818446 & 0.0915013148155389 \tabularnewline
189 & 3.092687321 & 3.11124988962825 & -0.0185625686282483 \tabularnewline
190 & 3.239705923 & 3.13541033380311 & 0.104295589196887 \tabularnewline
191 & 3.101897238 & 3.01858549392293 & 0.0833117440770691 \tabularnewline
192 & 3.038641134 & 3.03851727962855 & 0.000123854371451144 \tabularnewline
193 & 2.951212462 & 3.10244847561726 & -0.151236013617257 \tabularnewline
194 & 3.212192889 & 3.14263647320898 & 0.0695564157910164 \tabularnewline
195 & 3.160300918 & 3.0704971745456 & 0.0898037434543954 \tabularnewline
196 & 3.01228975 & 3.01111079717486 & 0.00117895282513656 \tabularnewline
197 & 2.980670224 & 2.96244761931963 & 0.0182226046803701 \tabularnewline
198 & 3.106525114 & 3.08708598041905 & 0.0194391335809511 \tabularnewline
199 & 3.008543881 & 2.99711731296697 & 0.0114265680330299 \tabularnewline
200 & 3.029700059 & 2.97073654693972 & 0.0589635120602759 \tabularnewline
201 & 2.89846558 & 2.96576082316072 & -0.0672952431607179 \tabularnewline
202 & 3.20114478 & 3.07434880341924 & 0.126795976580756 \tabularnewline
203 & 3.132534498 & 3.06488824599152 & 0.0676462520084819 \tabularnewline
204 & 3.074684105 & 3.09055810539255 & -0.0158740003925503 \tabularnewline
205 & 2.868136691 & 2.95543425878078 & -0.0872975677807784 \tabularnewline
206 & 3.031148789 & 3.01572592786073 & 0.0154228611392663 \tabularnewline
207 & 3.295566252 & 3.10437926269898 & 0.191186989301017 \tabularnewline
208 & 3.198540761 & 3.06764639279379 & 0.130894368206213 \tabularnewline
209 & 3.174319192 & 3.08179855464352 & 0.0925206373564842 \tabularnewline
210 & 3.084276863 & 2.98351175334024 & 0.100765109659762 \tabularnewline
211 & 3.168689696 & 3.07209715094572 & 0.0965925450542767 \tabularnewline
212 & 2.918800006 & 2.95925011772491 & -0.0404501117249083 \tabularnewline
213 & 3.047003322 & 2.98519496262378 & 0.0618083593762236 \tabularnewline
214 & 2.950164898 & 3.06533801336618 & -0.115173115366181 \tabularnewline
215 & 2.922042953 & 2.99590155832278 & -0.0738586053227781 \tabularnewline
216 & 2.959060874 & 3.00375183166187 & -0.044690957661868 \tabularnewline
217 & 2.937064306 & 2.95771569854129 & -0.0206513925412926 \tabularnewline
218 & 2.980737469 & 2.97736628138545 & 0.00337118761455501 \tabularnewline
219 & 3.04360293 & 2.93485486795174 & 0.10874806204826 \tabularnewline
220 & 3.025933091 & 3.04596185569306 & -0.0200287646930644 \tabularnewline
221 & 3.119678925 & 3.15759286393199 & -0.0379139389319858 \tabularnewline
222 & 3.101766482 & 3.19252385981669 & -0.0907573778166911 \tabularnewline
223 & 2.991751124 & 2.97882512921564 & 0.0129259947843597 \tabularnewline
224 & 2.768975577 & 2.89664445687292 & -0.12766887987292 \tabularnewline
225 & 3.201906854 & 3.11680785954214 & 0.0850989944578584 \tabularnewline
226 & 3.014820069 & 2.92654085873086 & 0.088279210269136 \tabularnewline
227 & 2.969950443 & 3.01485708073436 & -0.0449066377343643 \tabularnewline
228 & 2.961172129 & 3.02125825382897 & -0.0600861248289747 \tabularnewline
229 & 3.020467046 & 3.15019691410211 & -0.129729868102113 \tabularnewline
230 & 2.775805966 & 2.94495920371375 & -0.169153237713754 \tabularnewline
231 & 3.045405083 & 3.04025644316967 & 0.00514863983033473 \tabularnewline
232 & 3.065933296 & 3.07745636144976 & -0.0115230654497565 \tabularnewline
233 & 2.903070932 & 2.96657020556965 & -0.063499273569654 \tabularnewline
234 & 2.981878508 & 3.05082486382461 & -0.0689463558246119 \tabularnewline
235 & 2.938487555 & 2.99295460677718 & -0.0544670517771793 \tabularnewline
236 & 3.251625863 & 3.06893040035483 & 0.18269546264517 \tabularnewline
237 & 2.881610915 & 2.95744120178512 & -0.0758302867851151 \tabularnewline
238 & 3.015304447 & 3.03313987582767 & -0.0178354288276663 \tabularnewline
239 & 2.828035732 & 2.94154598555433 & -0.113510253554329 \tabularnewline
240 & 3.081871163 & 3.02461065283395 & 0.0572605101660532 \tabularnewline
241 & 3.211251212 & 3.1594553732727 & 0.0517958387273029 \tabularnewline
242 & 2.914693877 & 2.96993463109417 & -0.0552407540941662 \tabularnewline
243 & 2.911391551 & 2.95542946394709 & -0.0440379129470873 \tabularnewline
244 & 3.002669872 & 2.97385872905921 & 0.02881114294079 \tabularnewline
245 & 3.05776495 & 3.02862211566083 & 0.0291428343391746 \tabularnewline
246 & 3.115299727 & 3.13245558405164 & -0.0171558570516365 \tabularnewline
247 & 3.064169308 & 2.9646568312192 & 0.0995124767807989 \tabularnewline
248 & 3.060778535 & 2.96342447864252 & 0.0973540563574837 \tabularnewline
249 & 2.799690732 & 2.88358537782183 & -0.0838946458218307 \tabularnewline
250 & 3.235454896 & 3.15089814825286 & 0.0845567477471416 \tabularnewline
251 & 3.106426846 & 3.07088146446695 & 0.0355453815330456 \tabularnewline
252 & 2.643467633 & 2.78879301194138 & -0.145325378941376 \tabularnewline
253 & 3.105695081 & 3.05194868100613 & 0.0537463999938655 \tabularnewline
254 & 3.062605914 & 3.04114662249208 & 0.0214592915079224 \tabularnewline
255 & 2.767635006 & 2.84826891161391 & -0.0806339056139141 \tabularnewline
256 & 2.775220343 & 2.91736947536442 & -0.14214913236442 \tabularnewline
257 & 3.074886491 & 3.00351916652696 & 0.0713673244730428 \tabularnewline
258 & 2.965118675 & 2.93669373968664 & 0.0284249353133638 \tabularnewline
259 & 2.840518675 & 2.8759575565157 & -0.0354388815156955 \tabularnewline
260 & 2.737903319 & 2.9200245867168 & -0.182121267716802 \tabularnewline
261 & 3.028609336 & 2.99944975061254 & 0.0291595853874594 \tabularnewline
262 & 2.821177538 & 2.85795620945455 & -0.0367786714545457 \tabularnewline
263 & 2.925476806 & 2.96606975088118 & -0.0405929448811808 \tabularnewline
264 & 2.901766844 & 2.94215700183506 & -0.0403901578350617 \tabularnewline
265 & 3.055917972 & 2.98290721656718 & 0.0730107554328241 \tabularnewline
266 & 2.974788928 & 3.01067891354097 & -0.0358899855409748 \tabularnewline
267 & 2.952134253 & 2.9486749915418 & 0.00345926145820435 \tabularnewline
268 & 3.162122445 & 2.98366499281459 & 0.178457452185415 \tabularnewline
269 & 3.027491682 & 3.06202496377971 & -0.0345332817797059 \tabularnewline
270 & 3.117943498 & 3.08028585370225 & 0.0376576442977468 \tabularnewline
271 & 3.001801066 & 2.95771186751453 & 0.0440891984854725 \tabularnewline
272 & 2.862435185 & 2.8600874162311 & 0.00234776876890072 \tabularnewline
273 & 3.12211313 & 3.04228492639131 & 0.0798282036086921 \tabularnewline
274 & 2.96571545 & 2.92151017800424 & 0.0442052719957608 \tabularnewline
275 & 2.997400864 & 3.0455850421389 & -0.0481841781389041 \tabularnewline
276 & 2.919895484 & 2.91481971217798 & 0.00507577182202291 \tabularnewline
277 & 2.648998252 & 2.81883752440215 & -0.169839272402151 \tabularnewline
278 & 3.064176271 & 3.02061122139264 & 0.0435650496073551 \tabularnewline
279 & 3.055089032 & 2.97999346138516 & 0.0750955706148369 \tabularnewline
280 & 3.032288667 & 3.00977768249321 & 0.0225109845067877 \tabularnewline
281 & 3.072541479 & 2.99461962439493 & 0.0779218546050741 \tabularnewline
282 & 3.078905472 & 3.00628842131093 & 0.0726170506890726 \tabularnewline
283 & 2.841193783 & 2.84571748468924 & -0.00452370168923882 \tabularnewline
284 & 2.974843706 & 2.95617384550666 & 0.0186698604933424 \tabularnewline
285 & 2.907418992 & 3.01944600550917 & -0.112027013509167 \tabularnewline
286 & 2.938283159 & 2.94021136449119 & -0.00192820549119104 \tabularnewline
287 & 2.968413029 & 2.97048655292159 & -0.00207352392159239 \tabularnewline
288 & 3.010882379 & 2.99829450973771 & 0.0125878692622903 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=202089&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]3.166464608[/C][C]3.12435211034235[/C][C]0.04211249765765[/C][/ROW]
[ROW][C]2[/C][C]3.286476783[/C][C]3.27583134025488[/C][C]0.0106454427451221[/C][/ROW]
[ROW][C]3[/C][C]3.29159842[/C][C]3.34957749626843[/C][C]-0.0579790762684304[/C][/ROW]
[ROW][C]4[/C][C]3.172097125[/C][C]3.05185605677775[/C][C]0.120241068222248[/C][/ROW]
[ROW][C]5[/C][C]2.917880593[/C][C]2.99232476503761[/C][C]-0.0744441720376136[/C][/ROW]
[ROW][C]6[/C][C]3.549331417[/C][C]3.4916155244369[/C][C]0.0577158925631045[/C][/ROW]
[ROW][C]7[/C][C]2.787585412[/C][C]2.91083870419302[/C][C]-0.123253292193018[/C][/ROW]
[ROW][C]8[/C][C]3.112617164[/C][C]2.9936645812847[/C][C]0.118952582715298[/C][/ROW]
[ROW][C]9[/C][C]3.232225797[/C][C]3.21392437327384[/C][C]0.018301423726158[/C][/ROW]
[ROW][C]10[/C][C]3.265595013[/C][C]3.18028277271279[/C][C]0.0853122402872103[/C][/ROW]
[ROW][C]11[/C][C]3.38355752[/C][C]3.31616889751896[/C][C]0.0673886224810384[/C][/ROW]
[ROW][C]12[/C][C]3.280593845[/C][C]3.30945495599629[/C][C]-0.0288611109962926[/C][/ROW]
[ROW][C]13[/C][C]3.196447267[/C][C]3.18204280341334[/C][C]0.0144044635866595[/C][/ROW]
[ROW][C]14[/C][C]3.41280065[/C][C]3.39858906769957[/C][C]0.0142115823004296[/C][/ROW]
[ROW][C]15[/C][C]3.292973325[/C][C]3.22290721429895[/C][C]0.0700661107010541[/C][/ROW]
[ROW][C]16[/C][C]3.489912189[/C][C]3.75697212462946[/C][C]-0.267059935629464[/C][/ROW]
[ROW][C]17[/C][C]3.374673049[/C][C]3.30843112461702[/C][C]0.066241924382981[/C][/ROW]
[ROW][C]18[/C][C]3.382955786[/C][C]3.34118108251119[/C][C]0.0417747034888111[/C][/ROW]
[ROW][C]19[/C][C]3.201941772[/C][C]3.14524399949005[/C][C]0.0566977725099509[/C][/ROW]
[ROW][C]20[/C][C]3.331930651[/C][C]3.35746837954756[/C][C]-0.02553772854756[/C][/ROW]
[ROW][C]21[/C][C]3.351177732[/C][C]3.36252919467737[/C][C]-0.0113514626773739[/C][/ROW]
[ROW][C]22[/C][C]3.510007237[/C][C]3.33860254372879[/C][C]0.171404693271209[/C][/ROW]
[ROW][C]23[/C][C]3.242484174[/C][C]3.13936370776162[/C][C]0.103120466238382[/C][/ROW]
[ROW][C]24[/C][C]3.196002436[/C][C]3.26115468544257[/C][C]-0.0651522494425673[/C][/ROW]
[ROW][C]25[/C][C]3.283190383[/C][C]3.42655397234358[/C][C]-0.143363589343576[/C][/ROW]
[ROW][C]26[/C][C]3.282618086[/C][C]3.3309310631542[/C][C]-0.048312977154199[/C][/ROW]
[ROW][C]27[/C][C]3.366795815[/C][C]3.36887087479844[/C][C]-0.0020750597984379[/C][/ROW]
[ROW][C]28[/C][C]3.363968236[/C][C]3.29029072282862[/C][C]0.0736775131713765[/C][/ROW]
[ROW][C]29[/C][C]3.17621148[/C][C]3.12559852369983[/C][C]0.0506129563001678[/C][/ROW]
[ROW][C]30[/C][C]3.361091858[/C][C]3.3046757322991[/C][C]0.0564161257009029[/C][/ROW]
[ROW][C]31[/C][C]3.344396201[/C][C]3.32288220095734[/C][C]0.0215140000426569[/C][/ROW]
[ROW][C]32[/C][C]3.274843895[/C][C]3.28991107709068[/C][C]-0.0150671820906836[/C][/ROW]
[ROW][C]33[/C][C]3.414985875[/C][C]3.36616886967232[/C][C]0.0488170053276766[/C][/ROW]
[ROW][C]34[/C][C]3.057754304[/C][C]3.08940712050045[/C][C]-0.031652816500453[/C][/ROW]
[ROW][C]35[/C][C]3.456327842[/C][C]3.41981832716462[/C][C]0.0365095148353778[/C][/ROW]
[ROW][C]36[/C][C]3.110699706[/C][C]2.9683687669502[/C][C]0.142330939049802[/C][/ROW]
[ROW][C]37[/C][C]3.351934761[/C][C]3.27971879598685[/C][C]0.0722159650131513[/C][/ROW]
[ROW][C]38[/C][C]3.490237979[/C][C]3.43841815803997[/C][C]0.0518198209600325[/C][/ROW]
[ROW][C]39[/C][C]2.397445642[/C][C]2.78112334414545[/C][C]-0.383677702145445[/C][/ROW]
[ROW][C]40[/C][C]3.26964639[/C][C]3.18577604346588[/C][C]0.0838703465341156[/C][/ROW]
[ROW][C]41[/C][C]3.126687047[/C][C]2.99768846279597[/C][C]0.128998584204032[/C][/ROW]
[ROW][C]42[/C][C]3.096924276[/C][C]3.14627652348022[/C][C]-0.0493522474802161[/C][/ROW]
[ROW][C]43[/C][C]3.421648446[/C][C]3.4045713881377[/C][C]0.0170770578623017[/C][/ROW]
[ROW][C]44[/C][C]3.426538534[/C][C]3.41231450078968[/C][C]0.0142240332103163[/C][/ROW]
[ROW][C]45[/C][C]3.232334693[/C][C]3.21817657659629[/C][C]0.0141581164037049[/C][/ROW]
[ROW][C]46[/C][C]3.285220306[/C][C]3.30636785562996[/C][C]-0.0211475496299568[/C][/ROW]
[ROW][C]47[/C][C]3.24027[/C][C]3.19825288041255[/C][C]0.0420171195874534[/C][/ROW]
[ROW][C]48[/C][C]3.141571707[/C][C]3.13577275651419[/C][C]0.00579895048581047[/C][/ROW]
[ROW][C]49[/C][C]3.154468489[/C][C]3.3225853470101[/C][C]-0.168116858010104[/C][/ROW]
[ROW][C]50[/C][C]3.527671345[/C][C]3.65677165470786[/C][C]-0.129100309707859[/C][/ROW]
[ROW][C]51[/C][C]3.035548408[/C][C]3.05336235038898[/C][C]-0.0178139423889766[/C][/ROW]
[ROW][C]52[/C][C]3.298484868[/C][C]3.34685940678501[/C][C]-0.0483745387850078[/C][/ROW]
[ROW][C]53[/C][C]3.436801551[/C][C]3.5919186077409[/C][C]-0.155117056740905[/C][/ROW]
[ROW][C]54[/C][C]3.235558571[/C][C]3.2727409971863[/C][C]-0.0371824261863009[/C][/ROW]
[ROW][C]55[/C][C]3.272073282[/C][C]3.2104254637259[/C][C]0.0616478182741031[/C][/ROW]
[ROW][C]56[/C][C]2.702223892[/C][C]2.85837583666254[/C][C]-0.156151944662536[/C][/ROW]
[ROW][C]57[/C][C]3.494611213[/C][C]3.41368487039792[/C][C]0.0809263426020773[/C][/ROW]
[ROW][C]58[/C][C]2.978664445[/C][C]2.9820834582695[/C][C]-0.00341901326950398[/C][/ROW]
[ROW][C]59[/C][C]3.110960438[/C][C]3.02195474363675[/C][C]0.0890056943632454[/C][/ROW]
[ROW][C]60[/C][C]3.356959651[/C][C]3.35084957749842[/C][C]0.00611007350158202[/C][/ROW]
[ROW][C]61[/C][C]3.393042179[/C][C]3.4587217022316[/C][C]-0.0656795232316035[/C][/ROW]
[ROW][C]62[/C][C]3.507259418[/C][C]3.65077726279034[/C][C]-0.143517844790344[/C][/ROW]
[ROW][C]63[/C][C]3.118453789[/C][C]3.03795088311216[/C][C]0.0805029058878385[/C][/ROW]
[ROW][C]64[/C][C]3.378059245[/C][C]3.40636245180536[/C][C]-0.0283032068053602[/C][/ROW]
[ROW][C]65[/C][C]3.409657073[/C][C]3.38238652565441[/C][C]0.0272705473455946[/C][/ROW]
[ROW][C]66[/C][C]3.337126301[/C][C]3.24354741114967[/C][C]0.0935788898503307[/C][/ROW]
[ROW][C]67[/C][C]3.475542679[/C][C]3.56164724670649[/C][C]-0.0861045677064923[/C][/ROW]
[ROW][C]68[/C][C]3.381567219[/C][C]3.38409140454149[/C][C]-0.00252418554148938[/C][/ROW]
[ROW][C]69[/C][C]3.28909133[/C][C]3.30691597673826[/C][C]-0.0178246467382564[/C][/ROW]
[ROW][C]70[/C][C]3.338740819[/C][C]3.28495494346426[/C][C]0.0537858755357414[/C][/ROW]
[ROW][C]71[/C][C]3.321477767[/C][C]3.17374748244719[/C][C]0.14773028455281[/C][/ROW]
[ROW][C]72[/C][C]3.282189656[/C][C]3.17935147547396[/C][C]0.102838180526037[/C][/ROW]
[ROW][C]73[/C][C]3.219583634[/C][C]3.22425417595889[/C][C]-0.00467054195889334[/C][/ROW]
[ROW][C]74[/C][C]3.306191303[/C][C]3.37478262351922[/C][C]-0.0685913205192222[/C][/ROW]
[ROW][C]75[/C][C]3.306403039[/C][C]3.30129891124128[/C][C]0.00510412775871726[/C][/ROW]
[ROW][C]76[/C][C]3.161359411[/C][C]3.18037301747363[/C][C]-0.0190136064736299[/C][/ROW]
[ROW][C]77[/C][C]3.296751508[/C][C]3.33939911801759[/C][C]-0.042647610017595[/C][/ROW]
[ROW][C]78[/C][C]3.01507042[/C][C]3.04296521932216[/C][C]-0.0278947993221646[/C][/ROW]
[ROW][C]79[/C][C]3.318848699[/C][C]3.30795955400055[/C][C]0.0108891449994533[/C][/ROW]
[ROW][C]80[/C][C]3.269542588[/C][C]3.2105005953936[/C][C]0.0590419926064019[/C][/ROW]
[ROW][C]81[/C][C]3.220710738[/C][C]3.26530849223372[/C][C]-0.0445977542337154[/C][/ROW]
[ROW][C]82[/C][C]3.433838202[/C][C]3.32654952857986[/C][C]0.10728867342014[/C][/ROW]
[ROW][C]83[/C][C]3.391872373[/C][C]3.29075165195466[/C][C]0.101120721045336[/C][/ROW]
[ROW][C]84[/C][C]3.298186791[/C][C]3.33064324297698[/C][C]-0.0324564519769848[/C][/ROW]
[ROW][C]85[/C][C]3.202351214[/C][C]3.22363609901354[/C][C]-0.0212848850135431[/C][/ROW]
[ROW][C]86[/C][C]3.239073925[/C][C]3.22437707518322[/C][C]0.0146968498167796[/C][/ROW]
[ROW][C]87[/C][C]3.16449742[/C][C]3.12831668816522[/C][C]0.0361807318347793[/C][/ROW]
[ROW][C]88[/C][C]3.51219779[/C][C]3.53159447981432[/C][C]-0.0193966898143188[/C][/ROW]
[ROW][C]89[/C][C]3.225170333[/C][C]3.11856894129259[/C][C]0.106601391707405[/C][/ROW]
[ROW][C]90[/C][C]3.316088958[/C][C]3.3097580401563[/C][C]0.00633091784369598[/C][/ROW]
[ROW][C]91[/C][C]3.043617742[/C][C]2.97244452652713[/C][C]0.0711732154728671[/C][/ROW]
[ROW][C]92[/C][C]3.171053229[/C][C]3.14473539493406[/C][C]0.0263178340659395[/C][/ROW]
[ROW][C]93[/C][C]3.190374416[/C][C]3.17250382933081[/C][C]0.0178705866691913[/C][/ROW]
[ROW][C]94[/C][C]3.144182912[/C][C]3.05140582207244[/C][C]0.0927770899275641[/C][/ROW]
[ROW][C]95[/C][C]3.447015513[/C][C]3.4253759069369[/C][C]0.0216396060630981[/C][/ROW]
[ROW][C]96[/C][C]3.388930904[/C][C]3.37541301304041[/C][C]0.0135178909595864[/C][/ROW]
[ROW][C]97[/C][C]3.230909983[/C][C]3.48794907782071[/C][C]-0.257039094820707[/C][/ROW]
[ROW][C]98[/C][C]3.334810581[/C][C]3.26887439991085[/C][C]0.0659361810891466[/C][/ROW]
[ROW][C]99[/C][C]3.296550075[/C][C]3.32237154438889[/C][C]-0.0258214693888853[/C][/ROW]
[ROW][C]100[/C][C]3.213100481[/C][C]3.15383744118927[/C][C]0.0592630398107319[/C][/ROW]
[ROW][C]101[/C][C]3.359322749[/C][C]3.38185605007146[/C][C]-0.0225333010714582[/C][/ROW]
[ROW][C]102[/C][C]3.391681398[/C][C]3.29129259168719[/C][C]0.100388806312807[/C][/ROW]
[ROW][C]103[/C][C]3.260344897[/C][C]3.22407433548652[/C][C]0.0362705615134803[/C][/ROW]
[ROW][C]104[/C][C]3.297500987[/C][C]3.22427769453919[/C][C]0.0732232924608147[/C][/ROW]
[ROW][C]105[/C][C]3.376358574[/C][C]3.34822847778772[/C][C]0.0281300962122828[/C][/ROW]
[ROW][C]106[/C][C]3.42107616[/C][C]3.6002685694294[/C][C]-0.179192409429402[/C][/ROW]
[ROW][C]107[/C][C]3.060303396[/C][C]3.09785216320467[/C][C]-0.0375487672046656[/C][/ROW]
[ROW][C]108[/C][C]3.474845309[/C][C]3.46436538436523[/C][C]0.0104799246347667[/C][/ROW]
[ROW][C]109[/C][C]3.3660777[/C][C]3.39632931036167[/C][C]-0.0302516103616712[/C][/ROW]
[ROW][C]110[/C][C]3.37661489[/C][C]3.3639921912388[/C][C]0.0126226987612043[/C][/ROW]
[ROW][C]111[/C][C]3.223370493[/C][C]3.18782579872389[/C][C]0.0355446942761141[/C][/ROW]
[ROW][C]112[/C][C]2.86163539[/C][C]2.96773400896665[/C][C]-0.106098618966649[/C][/ROW]
[ROW][C]113[/C][C]3.246237736[/C][C]3.17588947171624[/C][C]0.0703482642837594[/C][/ROW]
[ROW][C]114[/C][C]3.264159459[/C][C]3.25862690702719[/C][C]0.00553255197280649[/C][/ROW]
[ROW][C]115[/C][C]3.330334326[/C][C]3.32733590658696[/C][C]0.00299841941304471[/C][/ROW]
[ROW][C]116[/C][C]3.381078218[/C][C]3.38489474255487[/C][C]-0.00381652455487046[/C][/ROW]
[ROW][C]117[/C][C]3.359750092[/C][C]3.21786765826853[/C][C]0.141882433731469[/C][/ROW]
[ROW][C]118[/C][C]3.10598121[/C][C]3.12568590866663[/C][C]-0.0197046986666256[/C][/ROW]
[ROW][C]119[/C][C]3.084378504[/C][C]3.1250528595323[/C][C]-0.0406743555322969[/C][/ROW]
[ROW][C]120[/C][C]3.196912787[/C][C]3.15558496973315[/C][C]0.0413278172668489[/C][/ROW]
[ROW][C]121[/C][C]2.96168116[/C][C]3.02008409522335[/C][C]-0.0584029352233453[/C][/ROW]
[ROW][C]122[/C][C]3.178989684[/C][C]3.17083804602[/C][C]0.00815163798000394[/C][/ROW]
[ROW][C]123[/C][C]3.109907189[/C][C]3.23877999768983[/C][C]-0.128872808689827[/C][/ROW]
[ROW][C]124[/C][C]3.365324233[/C][C]3.21740367409541[/C][C]0.147920558904595[/C][/ROW]
[ROW][C]125[/C][C]3.048626753[/C][C]2.94578175050063[/C][C]0.102845002499369[/C][/ROW]
[ROW][C]126[/C][C]3.113716178[/C][C]3.02955188142897[/C][C]0.0841642965710273[/C][/ROW]
[ROW][C]127[/C][C]3.112249029[/C][C]3.13572014945548[/C][C]-0.0234711204554842[/C][/ROW]
[ROW][C]128[/C][C]3.392300679[/C][C]3.42134775904933[/C][C]-0.0290470800493276[/C][/ROW]
[ROW][C]129[/C][C]2.688139407[/C][C]2.82437514276472[/C][C]-0.13623573576472[/C][/ROW]
[ROW][C]130[/C][C]2.850224414[/C][C]2.90537040874687[/C][C]-0.0551459947468683[/C][/ROW]
[ROW][C]131[/C][C]3.239440287[/C][C]3.27957019659589[/C][C]-0.0401299095958881[/C][/ROW]
[ROW][C]132[/C][C]2.964030376[/C][C]2.90877944788262[/C][C]0.0552509281173777[/C][/ROW]
[ROW][C]133[/C][C]3.10738375[/C][C]3.22695096359449[/C][C]-0.119567213594489[/C][/ROW]
[ROW][C]134[/C][C]3.194921123[/C][C]3.2347686588548[/C][C]-0.0398475358548013[/C][/ROW]
[ROW][C]135[/C][C]3.481994422[/C][C]3.39972199370137[/C][C]0.0822724282986304[/C][/ROW]
[ROW][C]136[/C][C]2.665545273[/C][C]2.80914910365358[/C][C]-0.143603830653579[/C][/ROW]
[ROW][C]137[/C][C]3.3426323[/C][C]3.22690400855942[/C][C]0.115728291440584[/C][/ROW]
[ROW][C]138[/C][C]2.684773093[/C][C]2.95061259860886[/C][C]-0.265839505608864[/C][/ROW]
[ROW][C]139[/C][C]2.772692669[/C][C]2.88501398166893[/C][C]-0.112321312668933[/C][/ROW]
[ROW][C]140[/C][C]2.883091932[/C][C]2.9583120406639[/C][C]-0.0752201086638992[/C][/ROW]
[ROW][C]141[/C][C]3.193042217[/C][C]3.17732670363188[/C][C]0.0157155133681152[/C][/ROW]
[ROW][C]142[/C][C]3.081329075[/C][C]3.00581009241503[/C][C]0.0755189825849728[/C][/ROW]
[ROW][C]143[/C][C]3.393995313[/C][C]3.43025604864354[/C][C]-0.0362607356435358[/C][/ROW]
[ROW][C]144[/C][C]3.30085889[/C][C]3.30240082405007[/C][C]-0.00154193405007409[/C][/ROW]
[ROW][C]145[/C][C]3.039556987[/C][C]3.11468287008725[/C][C]-0.0751258830872541[/C][/ROW]
[ROW][C]146[/C][C]3.185133106[/C][C]3.2116831544041[/C][C]-0.0265500484041027[/C][/ROW]
[ROW][C]147[/C][C]3.100940311[/C][C]3.12161515618179[/C][C]-0.0206748451817912[/C][/ROW]
[ROW][C]148[/C][C]2.826719943[/C][C]2.88288476993472[/C][C]-0.0561648269347163[/C][/ROW]
[ROW][C]149[/C][C]3.23655568[/C][C]3.22693181494361[/C][C]0.00962386505638986[/C][/ROW]
[ROW][C]150[/C][C]3.430035081[/C][C]3.43266461600246[/C][C]-0.00262953500246468[/C][/ROW]
[ROW][C]151[/C][C]3.279039575[/C][C]3.2415281819024[/C][C]0.0375113930975984[/C][/ROW]
[ROW][C]152[/C][C]3.13138611[/C][C]3.08016631124269[/C][C]0.0512197987573077[/C][/ROW]
[ROW][C]153[/C][C]3.493396784[/C][C]3.53889365714669[/C][C]-0.0454968731466887[/C][/ROW]
[ROW][C]154[/C][C]3.40187326[/C][C]3.38561717884768[/C][C]0.0162560811523214[/C][/ROW]
[ROW][C]155[/C][C]3.516745024[/C][C]3.63181756138401[/C][C]-0.115072537384012[/C][/ROW]
[ROW][C]156[/C][C]3.250848673[/C][C]3.15491952858794[/C][C]0.0959291444120582[/C][/ROW]
[ROW][C]157[/C][C]3.104130954[/C][C]2.9943603237427[/C][C]0.109770630257302[/C][/ROW]
[ROW][C]158[/C][C]3.059827581[/C][C]3.09111748182402[/C][C]-0.0312899008240154[/C][/ROW]
[ROW][C]159[/C][C]3.372186728[/C][C]3.33287989051596[/C][C]0.0393068374840385[/C][/ROW]
[ROW][C]160[/C][C]3.51728922[/C][C]3.60295742857046[/C][C]-0.0856682085704647[/C][/ROW]
[ROW][C]161[/C][C]3.055453733[/C][C]3.14273725654003[/C][C]-0.0872835235400256[/C][/ROW]
[ROW][C]162[/C][C]3.165077624[/C][C]3.09490597427393[/C][C]0.070171649726072[/C][/ROW]
[ROW][C]163[/C][C]3.489699429[/C][C]3.57586058641003[/C][C]-0.0861611574100337[/C][/ROW]
[ROW][C]164[/C][C]3.191537047[/C][C]3.21317972683307[/C][C]-0.0216426798330719[/C][/ROW]
[ROW][C]165[/C][C]3.334100768[/C][C]3.26599510205005[/C][C]0.0681056659499456[/C][/ROW]
[ROW][C]166[/C][C]3.265783524[/C][C]3.24411344261501[/C][C]0.0216700813849936[/C][/ROW]
[ROW][C]167[/C][C]3.216193893[/C][C]3.12418108336833[/C][C]0.09201280963167[/C][/ROW]
[ROW][C]168[/C][C]3.153506379[/C][C]3.05409443937622[/C][C]0.099411939623779[/C][/ROW]
[ROW][C]169[/C][C]3.401161271[/C][C]3.19602468721066[/C][C]0.205136583789336[/C][/ROW]
[ROW][C]170[/C][C]3.462464297[/C][C]3.51326825814293[/C][C]-0.0508039611429292[/C][/ROW]
[ROW][C]171[/C][C]3.320285857[/C][C]3.30225294250884[/C][C]0.0180329144911552[/C][/ROW]
[ROW][C]172[/C][C]3.280470795[/C][C]3.20708709559574[/C][C]0.0733836994042555[/C][/ROW]
[ROW][C]173[/C][C]3.407063377[/C][C]3.44755486619782[/C][C]-0.0404914891978174[/C][/ROW]
[ROW][C]174[/C][C]3.120793693[/C][C]3.33659455946191[/C][C]-0.215800866461907[/C][/ROW]
[ROW][C]175[/C][C]3.203361134[/C][C]3.06868265955253[/C][C]0.134678474447466[/C][/ROW]
[ROW][C]176[/C][C]3.326310128[/C][C]3.3656765908774[/C][C]-0.0393664628773976[/C][/ROW]
[ROW][C]177[/C][C]3.083847007[/C][C]3.02169515757213[/C][C]0.0621518494278735[/C][/ROW]
[ROW][C]178[/C][C]3.365000845[/C][C]3.41427729505634[/C][C]-0.0492764500563397[/C][/ROW]
[ROW][C]179[/C][C]3.20265798[/C][C]3.0598201377795[/C][C]0.142837842220499[/C][/ROW]
[ROW][C]180[/C][C]3.018451651[/C][C]3.02157096747091[/C][C]-0.00311931647091219[/C][/ROW]
[ROW][C]181[/C][C]3.04467875[/C][C]3.1447256415766[/C][C]-0.100046891576596[/C][/ROW]
[ROW][C]182[/C][C]2.57267948[/C][C]2.77484964021016[/C][C]-0.20217016021016[/C][/ROW]
[ROW][C]183[/C][C]3.295753939[/C][C]3.22490293506669[/C][C]0.0708510039333114[/C][/ROW]
[ROW][C]184[/C][C]3.429287942[/C][C]3.42005054881821[/C][C]0.00923739318178951[/C][/ROW]
[ROW][C]185[/C][C]2.398201326[/C][C]2.76737346026396[/C][C]-0.369172134263964[/C][/ROW]
[ROW][C]186[/C][C]2.882860791[/C][C]2.84770019217415[/C][C]0.0351605988258527[/C][/ROW]
[ROW][C]187[/C][C]2.618139172[/C][C]2.76769991521796[/C][C]-0.149560743217962[/C][/ROW]
[ROW][C]188[/C][C]3.197007233[/C][C]3.10550591818446[/C][C]0.0915013148155389[/C][/ROW]
[ROW][C]189[/C][C]3.092687321[/C][C]3.11124988962825[/C][C]-0.0185625686282483[/C][/ROW]
[ROW][C]190[/C][C]3.239705923[/C][C]3.13541033380311[/C][C]0.104295589196887[/C][/ROW]
[ROW][C]191[/C][C]3.101897238[/C][C]3.01858549392293[/C][C]0.0833117440770691[/C][/ROW]
[ROW][C]192[/C][C]3.038641134[/C][C]3.03851727962855[/C][C]0.000123854371451144[/C][/ROW]
[ROW][C]193[/C][C]2.951212462[/C][C]3.10244847561726[/C][C]-0.151236013617257[/C][/ROW]
[ROW][C]194[/C][C]3.212192889[/C][C]3.14263647320898[/C][C]0.0695564157910164[/C][/ROW]
[ROW][C]195[/C][C]3.160300918[/C][C]3.0704971745456[/C][C]0.0898037434543954[/C][/ROW]
[ROW][C]196[/C][C]3.01228975[/C][C]3.01111079717486[/C][C]0.00117895282513656[/C][/ROW]
[ROW][C]197[/C][C]2.980670224[/C][C]2.96244761931963[/C][C]0.0182226046803701[/C][/ROW]
[ROW][C]198[/C][C]3.106525114[/C][C]3.08708598041905[/C][C]0.0194391335809511[/C][/ROW]
[ROW][C]199[/C][C]3.008543881[/C][C]2.99711731296697[/C][C]0.0114265680330299[/C][/ROW]
[ROW][C]200[/C][C]3.029700059[/C][C]2.97073654693972[/C][C]0.0589635120602759[/C][/ROW]
[ROW][C]201[/C][C]2.89846558[/C][C]2.96576082316072[/C][C]-0.0672952431607179[/C][/ROW]
[ROW][C]202[/C][C]3.20114478[/C][C]3.07434880341924[/C][C]0.126795976580756[/C][/ROW]
[ROW][C]203[/C][C]3.132534498[/C][C]3.06488824599152[/C][C]0.0676462520084819[/C][/ROW]
[ROW][C]204[/C][C]3.074684105[/C][C]3.09055810539255[/C][C]-0.0158740003925503[/C][/ROW]
[ROW][C]205[/C][C]2.868136691[/C][C]2.95543425878078[/C][C]-0.0872975677807784[/C][/ROW]
[ROW][C]206[/C][C]3.031148789[/C][C]3.01572592786073[/C][C]0.0154228611392663[/C][/ROW]
[ROW][C]207[/C][C]3.295566252[/C][C]3.10437926269898[/C][C]0.191186989301017[/C][/ROW]
[ROW][C]208[/C][C]3.198540761[/C][C]3.06764639279379[/C][C]0.130894368206213[/C][/ROW]
[ROW][C]209[/C][C]3.174319192[/C][C]3.08179855464352[/C][C]0.0925206373564842[/C][/ROW]
[ROW][C]210[/C][C]3.084276863[/C][C]2.98351175334024[/C][C]0.100765109659762[/C][/ROW]
[ROW][C]211[/C][C]3.168689696[/C][C]3.07209715094572[/C][C]0.0965925450542767[/C][/ROW]
[ROW][C]212[/C][C]2.918800006[/C][C]2.95925011772491[/C][C]-0.0404501117249083[/C][/ROW]
[ROW][C]213[/C][C]3.047003322[/C][C]2.98519496262378[/C][C]0.0618083593762236[/C][/ROW]
[ROW][C]214[/C][C]2.950164898[/C][C]3.06533801336618[/C][C]-0.115173115366181[/C][/ROW]
[ROW][C]215[/C][C]2.922042953[/C][C]2.99590155832278[/C][C]-0.0738586053227781[/C][/ROW]
[ROW][C]216[/C][C]2.959060874[/C][C]3.00375183166187[/C][C]-0.044690957661868[/C][/ROW]
[ROW][C]217[/C][C]2.937064306[/C][C]2.95771569854129[/C][C]-0.0206513925412926[/C][/ROW]
[ROW][C]218[/C][C]2.980737469[/C][C]2.97736628138545[/C][C]0.00337118761455501[/C][/ROW]
[ROW][C]219[/C][C]3.04360293[/C][C]2.93485486795174[/C][C]0.10874806204826[/C][/ROW]
[ROW][C]220[/C][C]3.025933091[/C][C]3.04596185569306[/C][C]-0.0200287646930644[/C][/ROW]
[ROW][C]221[/C][C]3.119678925[/C][C]3.15759286393199[/C][C]-0.0379139389319858[/C][/ROW]
[ROW][C]222[/C][C]3.101766482[/C][C]3.19252385981669[/C][C]-0.0907573778166911[/C][/ROW]
[ROW][C]223[/C][C]2.991751124[/C][C]2.97882512921564[/C][C]0.0129259947843597[/C][/ROW]
[ROW][C]224[/C][C]2.768975577[/C][C]2.89664445687292[/C][C]-0.12766887987292[/C][/ROW]
[ROW][C]225[/C][C]3.201906854[/C][C]3.11680785954214[/C][C]0.0850989944578584[/C][/ROW]
[ROW][C]226[/C][C]3.014820069[/C][C]2.92654085873086[/C][C]0.088279210269136[/C][/ROW]
[ROW][C]227[/C][C]2.969950443[/C][C]3.01485708073436[/C][C]-0.0449066377343643[/C][/ROW]
[ROW][C]228[/C][C]2.961172129[/C][C]3.02125825382897[/C][C]-0.0600861248289747[/C][/ROW]
[ROW][C]229[/C][C]3.020467046[/C][C]3.15019691410211[/C][C]-0.129729868102113[/C][/ROW]
[ROW][C]230[/C][C]2.775805966[/C][C]2.94495920371375[/C][C]-0.169153237713754[/C][/ROW]
[ROW][C]231[/C][C]3.045405083[/C][C]3.04025644316967[/C][C]0.00514863983033473[/C][/ROW]
[ROW][C]232[/C][C]3.065933296[/C][C]3.07745636144976[/C][C]-0.0115230654497565[/C][/ROW]
[ROW][C]233[/C][C]2.903070932[/C][C]2.96657020556965[/C][C]-0.063499273569654[/C][/ROW]
[ROW][C]234[/C][C]2.981878508[/C][C]3.05082486382461[/C][C]-0.0689463558246119[/C][/ROW]
[ROW][C]235[/C][C]2.938487555[/C][C]2.99295460677718[/C][C]-0.0544670517771793[/C][/ROW]
[ROW][C]236[/C][C]3.251625863[/C][C]3.06893040035483[/C][C]0.18269546264517[/C][/ROW]
[ROW][C]237[/C][C]2.881610915[/C][C]2.95744120178512[/C][C]-0.0758302867851151[/C][/ROW]
[ROW][C]238[/C][C]3.015304447[/C][C]3.03313987582767[/C][C]-0.0178354288276663[/C][/ROW]
[ROW][C]239[/C][C]2.828035732[/C][C]2.94154598555433[/C][C]-0.113510253554329[/C][/ROW]
[ROW][C]240[/C][C]3.081871163[/C][C]3.02461065283395[/C][C]0.0572605101660532[/C][/ROW]
[ROW][C]241[/C][C]3.211251212[/C][C]3.1594553732727[/C][C]0.0517958387273029[/C][/ROW]
[ROW][C]242[/C][C]2.914693877[/C][C]2.96993463109417[/C][C]-0.0552407540941662[/C][/ROW]
[ROW][C]243[/C][C]2.911391551[/C][C]2.95542946394709[/C][C]-0.0440379129470873[/C][/ROW]
[ROW][C]244[/C][C]3.002669872[/C][C]2.97385872905921[/C][C]0.02881114294079[/C][/ROW]
[ROW][C]245[/C][C]3.05776495[/C][C]3.02862211566083[/C][C]0.0291428343391746[/C][/ROW]
[ROW][C]246[/C][C]3.115299727[/C][C]3.13245558405164[/C][C]-0.0171558570516365[/C][/ROW]
[ROW][C]247[/C][C]3.064169308[/C][C]2.9646568312192[/C][C]0.0995124767807989[/C][/ROW]
[ROW][C]248[/C][C]3.060778535[/C][C]2.96342447864252[/C][C]0.0973540563574837[/C][/ROW]
[ROW][C]249[/C][C]2.799690732[/C][C]2.88358537782183[/C][C]-0.0838946458218307[/C][/ROW]
[ROW][C]250[/C][C]3.235454896[/C][C]3.15089814825286[/C][C]0.0845567477471416[/C][/ROW]
[ROW][C]251[/C][C]3.106426846[/C][C]3.07088146446695[/C][C]0.0355453815330456[/C][/ROW]
[ROW][C]252[/C][C]2.643467633[/C][C]2.78879301194138[/C][C]-0.145325378941376[/C][/ROW]
[ROW][C]253[/C][C]3.105695081[/C][C]3.05194868100613[/C][C]0.0537463999938655[/C][/ROW]
[ROW][C]254[/C][C]3.062605914[/C][C]3.04114662249208[/C][C]0.0214592915079224[/C][/ROW]
[ROW][C]255[/C][C]2.767635006[/C][C]2.84826891161391[/C][C]-0.0806339056139141[/C][/ROW]
[ROW][C]256[/C][C]2.775220343[/C][C]2.91736947536442[/C][C]-0.14214913236442[/C][/ROW]
[ROW][C]257[/C][C]3.074886491[/C][C]3.00351916652696[/C][C]0.0713673244730428[/C][/ROW]
[ROW][C]258[/C][C]2.965118675[/C][C]2.93669373968664[/C][C]0.0284249353133638[/C][/ROW]
[ROW][C]259[/C][C]2.840518675[/C][C]2.8759575565157[/C][C]-0.0354388815156955[/C][/ROW]
[ROW][C]260[/C][C]2.737903319[/C][C]2.9200245867168[/C][C]-0.182121267716802[/C][/ROW]
[ROW][C]261[/C][C]3.028609336[/C][C]2.99944975061254[/C][C]0.0291595853874594[/C][/ROW]
[ROW][C]262[/C][C]2.821177538[/C][C]2.85795620945455[/C][C]-0.0367786714545457[/C][/ROW]
[ROW][C]263[/C][C]2.925476806[/C][C]2.96606975088118[/C][C]-0.0405929448811808[/C][/ROW]
[ROW][C]264[/C][C]2.901766844[/C][C]2.94215700183506[/C][C]-0.0403901578350617[/C][/ROW]
[ROW][C]265[/C][C]3.055917972[/C][C]2.98290721656718[/C][C]0.0730107554328241[/C][/ROW]
[ROW][C]266[/C][C]2.974788928[/C][C]3.01067891354097[/C][C]-0.0358899855409748[/C][/ROW]
[ROW][C]267[/C][C]2.952134253[/C][C]2.9486749915418[/C][C]0.00345926145820435[/C][/ROW]
[ROW][C]268[/C][C]3.162122445[/C][C]2.98366499281459[/C][C]0.178457452185415[/C][/ROW]
[ROW][C]269[/C][C]3.027491682[/C][C]3.06202496377971[/C][C]-0.0345332817797059[/C][/ROW]
[ROW][C]270[/C][C]3.117943498[/C][C]3.08028585370225[/C][C]0.0376576442977468[/C][/ROW]
[ROW][C]271[/C][C]3.001801066[/C][C]2.95771186751453[/C][C]0.0440891984854725[/C][/ROW]
[ROW][C]272[/C][C]2.862435185[/C][C]2.8600874162311[/C][C]0.00234776876890072[/C][/ROW]
[ROW][C]273[/C][C]3.12211313[/C][C]3.04228492639131[/C][C]0.0798282036086921[/C][/ROW]
[ROW][C]274[/C][C]2.96571545[/C][C]2.92151017800424[/C][C]0.0442052719957608[/C][/ROW]
[ROW][C]275[/C][C]2.997400864[/C][C]3.0455850421389[/C][C]-0.0481841781389041[/C][/ROW]
[ROW][C]276[/C][C]2.919895484[/C][C]2.91481971217798[/C][C]0.00507577182202291[/C][/ROW]
[ROW][C]277[/C][C]2.648998252[/C][C]2.81883752440215[/C][C]-0.169839272402151[/C][/ROW]
[ROW][C]278[/C][C]3.064176271[/C][C]3.02061122139264[/C][C]0.0435650496073551[/C][/ROW]
[ROW][C]279[/C][C]3.055089032[/C][C]2.97999346138516[/C][C]0.0750955706148369[/C][/ROW]
[ROW][C]280[/C][C]3.032288667[/C][C]3.00977768249321[/C][C]0.0225109845067877[/C][/ROW]
[ROW][C]281[/C][C]3.072541479[/C][C]2.99461962439493[/C][C]0.0779218546050741[/C][/ROW]
[ROW][C]282[/C][C]3.078905472[/C][C]3.00628842131093[/C][C]0.0726170506890726[/C][/ROW]
[ROW][C]283[/C][C]2.841193783[/C][C]2.84571748468924[/C][C]-0.00452370168923882[/C][/ROW]
[ROW][C]284[/C][C]2.974843706[/C][C]2.95617384550666[/C][C]0.0186698604933424[/C][/ROW]
[ROW][C]285[/C][C]2.907418992[/C][C]3.01944600550917[/C][C]-0.112027013509167[/C][/ROW]
[ROW][C]286[/C][C]2.938283159[/C][C]2.94021136449119[/C][C]-0.00192820549119104[/C][/ROW]
[ROW][C]287[/C][C]2.968413029[/C][C]2.97048655292159[/C][C]-0.00207352392159239[/C][/ROW]
[ROW][C]288[/C][C]3.010882379[/C][C]2.99829450973771[/C][C]0.0125878692622903[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=202089&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=202089&T=4

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	3.166464608	3.12435211034235	0.04211249765765
2	3.286476783	3.27583134025488	0.0106454427451221
3	3.29159842	3.34957749626843	-0.0579790762684304
4	3.172097125	3.05185605677775	0.120241068222248
5	2.917880593	2.99232476503761	-0.0744441720376136
6	3.549331417	3.4916155244369	0.0577158925631045
7	2.787585412	2.91083870419302	-0.123253292193018
8	3.112617164	2.9936645812847	0.118952582715298
9	3.232225797	3.21392437327384	0.018301423726158
10	3.265595013	3.18028277271279	0.0853122402872103
11	3.38355752	3.31616889751896	0.0673886224810384
12	3.280593845	3.30945495599629	-0.0288611109962926
13	3.196447267	3.18204280341334	0.0144044635866595
14	3.41280065	3.39858906769957	0.0142115823004296
15	3.292973325	3.22290721429895	0.0700661107010541
16	3.489912189	3.75697212462946	-0.267059935629464
17	3.374673049	3.30843112461702	0.066241924382981
18	3.382955786	3.34118108251119	0.0417747034888111
19	3.201941772	3.14524399949005	0.0566977725099509
20	3.331930651	3.35746837954756	-0.02553772854756
21	3.351177732	3.36252919467737	-0.0113514626773739
22	3.510007237	3.33860254372879	0.171404693271209
23	3.242484174	3.13936370776162	0.103120466238382
24	3.196002436	3.26115468544257	-0.0651522494425673
25	3.283190383	3.42655397234358	-0.143363589343576
26	3.282618086	3.3309310631542	-0.048312977154199
27	3.366795815	3.36887087479844	-0.0020750597984379
28	3.363968236	3.29029072282862	0.0736775131713765
29	3.17621148	3.12559852369983	0.0506129563001678
30	3.361091858	3.3046757322991	0.0564161257009029
31	3.344396201	3.32288220095734	0.0215140000426569
32	3.274843895	3.28991107709068	-0.0150671820906836
33	3.414985875	3.36616886967232	0.0488170053276766
34	3.057754304	3.08940712050045	-0.031652816500453
35	3.456327842	3.41981832716462	0.0365095148353778
36	3.110699706	2.9683687669502	0.142330939049802
37	3.351934761	3.27971879598685	0.0722159650131513
38	3.490237979	3.43841815803997	0.0518198209600325
39	2.397445642	2.78112334414545	-0.383677702145445
40	3.26964639	3.18577604346588	0.0838703465341156
41	3.126687047	2.99768846279597	0.128998584204032
42	3.096924276	3.14627652348022	-0.0493522474802161
43	3.421648446	3.4045713881377	0.0170770578623017
44	3.426538534	3.41231450078968	0.0142240332103163
45	3.232334693	3.21817657659629	0.0141581164037049
46	3.285220306	3.30636785562996	-0.0211475496299568
47	3.24027	3.19825288041255	0.0420171195874534
48	3.141571707	3.13577275651419	0.00579895048581047
49	3.154468489	3.3225853470101	-0.168116858010104
50	3.527671345	3.65677165470786	-0.129100309707859
51	3.035548408	3.05336235038898	-0.0178139423889766
52	3.298484868	3.34685940678501	-0.0483745387850078
53	3.436801551	3.5919186077409	-0.155117056740905
54	3.235558571	3.2727409971863	-0.0371824261863009
55	3.272073282	3.2104254637259	0.0616478182741031
56	2.702223892	2.85837583666254	-0.156151944662536
57	3.494611213	3.41368487039792	0.0809263426020773
58	2.978664445	2.9820834582695	-0.00341901326950398
59	3.110960438	3.02195474363675	0.0890056943632454
60	3.356959651	3.35084957749842	0.00611007350158202
61	3.393042179	3.4587217022316	-0.0656795232316035
62	3.507259418	3.65077726279034	-0.143517844790344
63	3.118453789	3.03795088311216	0.0805029058878385
64	3.378059245	3.40636245180536	-0.0283032068053602
65	3.409657073	3.38238652565441	0.0272705473455946
66	3.337126301	3.24354741114967	0.0935788898503307
67	3.475542679	3.56164724670649	-0.0861045677064923
68	3.381567219	3.38409140454149	-0.00252418554148938
69	3.28909133	3.30691597673826	-0.0178246467382564
70	3.338740819	3.28495494346426	0.0537858755357414
71	3.321477767	3.17374748244719	0.14773028455281
72	3.282189656	3.17935147547396	0.102838180526037
73	3.219583634	3.22425417595889	-0.00467054195889334
74	3.306191303	3.37478262351922	-0.0685913205192222
75	3.306403039	3.30129891124128	0.00510412775871726
76	3.161359411	3.18037301747363	-0.0190136064736299
77	3.296751508	3.33939911801759	-0.042647610017595
78	3.01507042	3.04296521932216	-0.0278947993221646
79	3.318848699	3.30795955400055	0.0108891449994533
80	3.269542588	3.2105005953936	0.0590419926064019
81	3.220710738	3.26530849223372	-0.0445977542337154
82	3.433838202	3.32654952857986	0.10728867342014
83	3.391872373	3.29075165195466	0.101120721045336
84	3.298186791	3.33064324297698	-0.0324564519769848
85	3.202351214	3.22363609901354	-0.0212848850135431
86	3.239073925	3.22437707518322	0.0146968498167796
87	3.16449742	3.12831668816522	0.0361807318347793
88	3.51219779	3.53159447981432	-0.0193966898143188
89	3.225170333	3.11856894129259	0.106601391707405
90	3.316088958	3.3097580401563	0.00633091784369598
91	3.043617742	2.97244452652713	0.0711732154728671
92	3.171053229	3.14473539493406	0.0263178340659395
93	3.190374416	3.17250382933081	0.0178705866691913
94	3.144182912	3.05140582207244	0.0927770899275641
95	3.447015513	3.4253759069369	0.0216396060630981
96	3.388930904	3.37541301304041	0.0135178909595864
97	3.230909983	3.48794907782071	-0.257039094820707
98	3.334810581	3.26887439991085	0.0659361810891466
99	3.296550075	3.32237154438889	-0.0258214693888853
100	3.213100481	3.15383744118927	0.0592630398107319
101	3.359322749	3.38185605007146	-0.0225333010714582
102	3.391681398	3.29129259168719	0.100388806312807
103	3.260344897	3.22407433548652	0.0362705615134803
104	3.297500987	3.22427769453919	0.0732232924608147
105	3.376358574	3.34822847778772	0.0281300962122828
106	3.42107616	3.6002685694294	-0.179192409429402
107	3.060303396	3.09785216320467	-0.0375487672046656
108	3.474845309	3.46436538436523	0.0104799246347667
109	3.3660777	3.39632931036167	-0.0302516103616712
110	3.37661489	3.3639921912388	0.0126226987612043
111	3.223370493	3.18782579872389	0.0355446942761141
112	2.86163539	2.96773400896665	-0.106098618966649
113	3.246237736	3.17588947171624	0.0703482642837594
114	3.264159459	3.25862690702719	0.00553255197280649
115	3.330334326	3.32733590658696	0.00299841941304471
116	3.381078218	3.38489474255487	-0.00381652455487046
117	3.359750092	3.21786765826853	0.141882433731469
118	3.10598121	3.12568590866663	-0.0197046986666256
119	3.084378504	3.1250528595323	-0.0406743555322969
120	3.196912787	3.15558496973315	0.0413278172668489
121	2.96168116	3.02008409522335	-0.0584029352233453
122	3.178989684	3.17083804602	0.00815163798000394
123	3.109907189	3.23877999768983	-0.128872808689827
124	3.365324233	3.21740367409541	0.147920558904595
125	3.048626753	2.94578175050063	0.102845002499369
126	3.113716178	3.02955188142897	0.0841642965710273
127	3.112249029	3.13572014945548	-0.0234711204554842
128	3.392300679	3.42134775904933	-0.0290470800493276
129	2.688139407	2.82437514276472	-0.13623573576472
130	2.850224414	2.90537040874687	-0.0551459947468683
131	3.239440287	3.27957019659589	-0.0401299095958881
132	2.964030376	2.90877944788262	0.0552509281173777
133	3.10738375	3.22695096359449	-0.119567213594489
134	3.194921123	3.2347686588548	-0.0398475358548013
135	3.481994422	3.39972199370137	0.0822724282986304
136	2.665545273	2.80914910365358	-0.143603830653579
137	3.3426323	3.22690400855942	0.115728291440584
138	2.684773093	2.95061259860886	-0.265839505608864
139	2.772692669	2.88501398166893	-0.112321312668933
140	2.883091932	2.9583120406639	-0.0752201086638992
141	3.193042217	3.17732670363188	0.0157155133681152
142	3.081329075	3.00581009241503	0.0755189825849728
143	3.393995313	3.43025604864354	-0.0362607356435358
144	3.30085889	3.30240082405007	-0.00154193405007409
145	3.039556987	3.11468287008725	-0.0751258830872541
146	3.185133106	3.2116831544041	-0.0265500484041027
147	3.100940311	3.12161515618179	-0.0206748451817912
148	2.826719943	2.88288476993472	-0.0561648269347163
149	3.23655568	3.22693181494361	0.00962386505638986
150	3.430035081	3.43266461600246	-0.00262953500246468
151	3.279039575	3.2415281819024	0.0375113930975984
152	3.13138611	3.08016631124269	0.0512197987573077
153	3.493396784	3.53889365714669	-0.0454968731466887
154	3.40187326	3.38561717884768	0.0162560811523214
155	3.516745024	3.63181756138401	-0.115072537384012
156	3.250848673	3.15491952858794	0.0959291444120582
157	3.104130954	2.9943603237427	0.109770630257302
158	3.059827581	3.09111748182402	-0.0312899008240154
159	3.372186728	3.33287989051596	0.0393068374840385
160	3.51728922	3.60295742857046	-0.0856682085704647
161	3.055453733	3.14273725654003	-0.0872835235400256
162	3.165077624	3.09490597427393	0.070171649726072
163	3.489699429	3.57586058641003	-0.0861611574100337
164	3.191537047	3.21317972683307	-0.0216426798330719
165	3.334100768	3.26599510205005	0.0681056659499456
166	3.265783524	3.24411344261501	0.0216700813849936
167	3.216193893	3.12418108336833	0.09201280963167
168	3.153506379	3.05409443937622	0.099411939623779
169	3.401161271	3.19602468721066	0.205136583789336
170	3.462464297	3.51326825814293	-0.0508039611429292
171	3.320285857	3.30225294250884	0.0180329144911552
172	3.280470795	3.20708709559574	0.0733836994042555
173	3.407063377	3.44755486619782	-0.0404914891978174
174	3.120793693	3.33659455946191	-0.215800866461907
175	3.203361134	3.06868265955253	0.134678474447466
176	3.326310128	3.3656765908774	-0.0393664628773976
177	3.083847007	3.02169515757213	0.0621518494278735
178	3.365000845	3.41427729505634	-0.0492764500563397
179	3.20265798	3.0598201377795	0.142837842220499
180	3.018451651	3.02157096747091	-0.00311931647091219
181	3.04467875	3.1447256415766	-0.100046891576596
182	2.57267948	2.77484964021016	-0.20217016021016
183	3.295753939	3.22490293506669	0.0708510039333114
184	3.429287942	3.42005054881821	0.00923739318178951
185	2.398201326	2.76737346026396	-0.369172134263964
186	2.882860791	2.84770019217415	0.0351605988258527
187	2.618139172	2.76769991521796	-0.149560743217962
188	3.197007233	3.10550591818446	0.0915013148155389
189	3.092687321	3.11124988962825	-0.0185625686282483
190	3.239705923	3.13541033380311	0.104295589196887
191	3.101897238	3.01858549392293	0.0833117440770691
192	3.038641134	3.03851727962855	0.000123854371451144
193	2.951212462	3.10244847561726	-0.151236013617257
194	3.212192889	3.14263647320898	0.0695564157910164
195	3.160300918	3.0704971745456	0.0898037434543954
196	3.01228975	3.01111079717486	0.00117895282513656
197	2.980670224	2.96244761931963	0.0182226046803701
198	3.106525114	3.08708598041905	0.0194391335809511
199	3.008543881	2.99711731296697	0.0114265680330299
200	3.029700059	2.97073654693972	0.0589635120602759
201	2.89846558	2.96576082316072	-0.0672952431607179
202	3.20114478	3.07434880341924	0.126795976580756
203	3.132534498	3.06488824599152	0.0676462520084819
204	3.074684105	3.09055810539255	-0.0158740003925503
205	2.868136691	2.95543425878078	-0.0872975677807784
206	3.031148789	3.01572592786073	0.0154228611392663
207	3.295566252	3.10437926269898	0.191186989301017
208	3.198540761	3.06764639279379	0.130894368206213
209	3.174319192	3.08179855464352	0.0925206373564842
210	3.084276863	2.98351175334024	0.100765109659762
211	3.168689696	3.07209715094572	0.0965925450542767
212	2.918800006	2.95925011772491	-0.0404501117249083
213	3.047003322	2.98519496262378	0.0618083593762236
214	2.950164898	3.06533801336618	-0.115173115366181
215	2.922042953	2.99590155832278	-0.0738586053227781
216	2.959060874	3.00375183166187	-0.044690957661868
217	2.937064306	2.95771569854129	-0.0206513925412926
218	2.980737469	2.97736628138545	0.00337118761455501
219	3.04360293	2.93485486795174	0.10874806204826
220	3.025933091	3.04596185569306	-0.0200287646930644
221	3.119678925	3.15759286393199	-0.0379139389319858
222	3.101766482	3.19252385981669	-0.0907573778166911
223	2.991751124	2.97882512921564	0.0129259947843597
224	2.768975577	2.89664445687292	-0.12766887987292
225	3.201906854	3.11680785954214	0.0850989944578584
226	3.014820069	2.92654085873086	0.088279210269136
227	2.969950443	3.01485708073436	-0.0449066377343643
228	2.961172129	3.02125825382897	-0.0600861248289747
229	3.020467046	3.15019691410211	-0.129729868102113
230	2.775805966	2.94495920371375	-0.169153237713754
231	3.045405083	3.04025644316967	0.00514863983033473
232	3.065933296	3.07745636144976	-0.0115230654497565
233	2.903070932	2.96657020556965	-0.063499273569654
234	2.981878508	3.05082486382461	-0.0689463558246119
235	2.938487555	2.99295460677718	-0.0544670517771793
236	3.251625863	3.06893040035483	0.18269546264517
237	2.881610915	2.95744120178512	-0.0758302867851151
238	3.015304447	3.03313987582767	-0.0178354288276663
239	2.828035732	2.94154598555433	-0.113510253554329
240	3.081871163	3.02461065283395	0.0572605101660532
241	3.211251212	3.1594553732727	0.0517958387273029
242	2.914693877	2.96993463109417	-0.0552407540941662
243	2.911391551	2.95542946394709	-0.0440379129470873
244	3.002669872	2.97385872905921	0.02881114294079
245	3.05776495	3.02862211566083	0.0291428343391746
246	3.115299727	3.13245558405164	-0.0171558570516365
247	3.064169308	2.9646568312192	0.0995124767807989
248	3.060778535	2.96342447864252	0.0973540563574837
249	2.799690732	2.88358537782183	-0.0838946458218307
250	3.235454896	3.15089814825286	0.0845567477471416
251	3.106426846	3.07088146446695	0.0355453815330456
252	2.643467633	2.78879301194138	-0.145325378941376
253	3.105695081	3.05194868100613	0.0537463999938655
254	3.062605914	3.04114662249208	0.0214592915079224
255	2.767635006	2.84826891161391	-0.0806339056139141
256	2.775220343	2.91736947536442	-0.14214913236442
257	3.074886491	3.00351916652696	0.0713673244730428
258	2.965118675	2.93669373968664	0.0284249353133638
259	2.840518675	2.8759575565157	-0.0354388815156955
260	2.737903319	2.9200245867168	-0.182121267716802
261	3.028609336	2.99944975061254	0.0291595853874594
262	2.821177538	2.85795620945455	-0.0367786714545457
263	2.925476806	2.96606975088118	-0.0405929448811808
264	2.901766844	2.94215700183506	-0.0403901578350617
265	3.055917972	2.98290721656718	0.0730107554328241
266	2.974788928	3.01067891354097	-0.0358899855409748
267	2.952134253	2.9486749915418	0.00345926145820435
268	3.162122445	2.98366499281459	0.178457452185415
269	3.027491682	3.06202496377971	-0.0345332817797059
270	3.117943498	3.08028585370225	0.0376576442977468
271	3.001801066	2.95771186751453	0.0440891984854725
272	2.862435185	2.8600874162311	0.00234776876890072
273	3.12211313	3.04228492639131	0.0798282036086921
274	2.96571545	2.92151017800424	0.0442052719957608
275	2.997400864	3.0455850421389	-0.0481841781389041
276	2.919895484	2.91481971217798	0.00507577182202291
277	2.648998252	2.81883752440215	-0.169839272402151
278	3.064176271	3.02061122139264	0.0435650496073551
279	3.055089032	2.97999346138516	0.0750955706148369
280	3.032288667	3.00977768249321	0.0225109845067877
281	3.072541479	2.99461962439493	0.0779218546050741
282	3.078905472	3.00628842131093	0.0726170506890726
283	2.841193783	2.84571748468924	-0.00452370168923882
284	2.974843706	2.95617384550666	0.0186698604933424
285	2.907418992	3.01944600550917	-0.112027013509167
286	2.938283159	2.94021136449119	-0.00192820549119104
287	2.968413029	2.97048655292159	-0.00207352392159239
288	3.010882379	2.99829450973771	0.0125878692622903

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
9	0.729192668273071	0.541614663453858	0.270807331726929
10	0.593177798170657	0.813644403658686	0.406822201829343
11	0.450575750094916	0.901151500189831	0.549424249905084
12	0.336578986136667	0.673157972273334	0.663421013863333
13	0.246751201385078	0.493502402770157	0.753248798614922
14	0.173636560693083	0.347273121386165	0.826363439306917
15	0.160189247847321	0.320378495694641	0.839810752152679
16	0.686942525606664	0.626114948786673	0.313057474393336
17	0.609009882375352	0.781980235249295	0.390990117624648
18	0.560726490825813	0.878547018348374	0.439273509174187
19	0.555988646323006	0.888022707353987	0.444011353676994
20	0.479222279373439	0.958444558746878	0.520777720626561
21	0.416318322978675	0.83263664595735	0.583681677021325
22	0.533269668154421	0.933460663691158	0.466730331845579
23	0.475355562843964	0.950711125687929	0.524644437156036
24	0.409967547611635	0.819935095223269	0.590032452388365
25	0.561660613091326	0.876678773817348	0.438339386908674
26	0.525663520491726	0.948672959016548	0.474336479508274
27	0.461644814928005	0.923289629856009	0.538355185071995
28	0.406533057189335	0.813066114378671	0.593466942810665
29	0.357865967256356	0.715731934512711	0.642134032743644
30	0.333962695537507	0.667925391075014	0.666037304462493
31	0.279964584538065	0.559929169076129	0.720035415461935
32	0.238700203905142	0.477400407810284	0.761299796094858
33	0.235083170715667	0.470166341431335	0.764916829284333
34	0.201591707349325	0.403183414698651	0.798408292650675
35	0.167431355236626	0.334862710473251	0.832568644763374
36	0.156421146439271	0.312842292878541	0.843578853560729
37	0.16691279829421	0.33382559658842	0.83308720170579
38	0.161195871088379	0.322391742176758	0.838804128911621
39	0.983059376010007	0.0338812479799869	0.0169406239899934
40	0.98115423833264	0.03769152333472	0.01884576166736
41	0.984899266933366	0.030201466133267	0.0151007330666335
42	0.980729164837471	0.0385416703250578	0.0192708351625289
43	0.97457878745579	0.05084242508842	0.02542121254421
44	0.966899435006588	0.0662011299868247	0.0331005649934124
45	0.957308885157078	0.0853822296858443	0.0426911148429221
46	0.945744168355495	0.108511663289009	0.0542558316445047
47	0.933267780442622	0.133464439114756	0.0667322195573782
48	0.91702422139231	0.165951557215381	0.0829757786076903
49	0.940865378735982	0.118269242528035	0.0591346212640177
50	0.936683539608335	0.12663292078333	0.0633164603916651
51	0.921680298056212	0.156639403887576	0.0783197019437881
52	0.911321413557297	0.177357172885405	0.0886785864427027
53	0.925963337912043	0.148073324175914	0.0740366620879569
54	0.912674734124391	0.174650531751218	0.0873252658756092
55	0.898332238999721	0.203335522000557	0.101667761000279
56	0.937212006557819	0.125575986884362	0.0627879934421808
57	0.934713023564938	0.130573952870125	0.0652869764350624
58	0.920086201707793	0.159827596584413	0.0799137982922066
59	0.923352385106453	0.153295229787093	0.0766476148935466
60	0.907685243945541	0.184629512108917	0.0923147560544586
61	0.902564003946702	0.194871992106596	0.0974359960532981
62	0.909897981535234	0.180204036929531	0.0901020184647656
63	0.905317954970519	0.189364090058963	0.0946820450294814
64	0.888842594532079	0.222314810935841	0.111157405467921
65	0.869550154272492	0.260899691455015	0.130449845727508
66	0.870503387516213	0.258993224967574	0.129496612483787
67	0.865404955315194	0.269190089369611	0.134595044684806
68	0.842911147916814	0.314177704166372	0.157088852083186
69	0.819059382917869	0.361881234164261	0.180940617082131
70	0.808441701366024	0.383116597267953	0.191558298633976
71	0.845248147980683	0.309503704038634	0.154751852019317
72	0.843592082597495	0.312815834805009	0.156407917402505
73	0.820672152247426	0.358655695505148	0.179327847752574
74	0.808153109644949	0.383693780710102	0.191846890355051
75	0.782475063530988	0.435049872938024	0.217524936469012
76	0.764869672686035	0.470260654627929	0.235130327313965
77	0.739829049050713	0.520341901898573	0.260170950949287
78	0.713674966330915	0.57265006733817	0.286325033669085
79	0.681081836497367	0.637836327005266	0.318918163502633
80	0.65593909921767	0.688121801564659	0.34406090078233
81	0.642507322432647	0.714985355134706	0.357492677567353
82	0.651118533898838	0.697762932202324	0.348881466101162
83	0.652009971157234	0.695980057685532	0.347990028842766
84	0.632167853114181	0.735664293771638	0.367832146885819
85	0.604080425091346	0.791839149817308	0.395919574908654
86	0.568589999395772	0.862820001208456	0.431410000604228
87	0.537389229216822	0.925221541566355	0.462610770783178
88	0.502756350755118	0.994487298489765	0.497243649244882
89	0.52326167524889	0.953476649502221	0.47673832475111
90	0.48919117646934	0.978382352938681	0.51080882353066
91	0.467808766438244	0.935617532876488	0.532191233561756
92	0.436837830617578	0.873675661235157	0.563162169382422
93	0.405152733067056	0.810305466134111	0.594847266932944
94	0.399988461378533	0.799976922757067	0.600011538621467
95	0.38338658594353	0.766773171887061	0.61661341405647
96	0.350502503357908	0.701005006715817	0.649497496642092
97	0.623235519193825	0.75352896161235	0.376764480806175
98	0.6067894457674	0.786421108465199	0.3932105542326
99	0.578791720010968	0.842416559978064	0.421208279989032
100	0.555519159237611	0.888961681524777	0.444480840762389
101	0.523223985355824	0.953552029288352	0.476776014644176
102	0.532500620094514	0.934998759810972	0.467499379905486
103	0.502004360981878	0.995991278036243	0.497995639018122
104	0.488387321378502	0.976774642757004	0.511612678621498
105	0.459838655668365	0.91967731133673	0.540161344331635
106	0.559738633299571	0.880522733400857	0.440261366700429
107	0.536177917175558	0.927644165648885	0.463822082824442
108	0.503052026578575	0.99389594684285	0.496947973421425
109	0.471203535254103	0.942407070508206	0.528796464745897
110	0.437763543496368	0.875527086992737	0.562236456503632
111	0.407678389481497	0.815356778962994	0.592321610518503
112	0.445069077210605	0.890138154421209	0.554930922789395
113	0.426782717372829	0.853565434745658	0.573217282627171
114	0.39356375178885	0.787127503577699	0.60643624821115
115	0.360320083120748	0.720640166241497	0.639679916879252
116	0.328796892844134	0.657593785688269	0.671203107155866
117	0.371017626568984	0.742035253137967	0.628982373431016
118	0.344191272181578	0.688382544363156	0.655808727818422
119	0.325177148534311	0.650354297068623	0.674822851465689
120	0.297970395052734	0.595940790105469	0.702029604947266
121	0.291252322738584	0.582504645477167	0.708747677261416
122	0.265265098727521	0.530530197455041	0.734734901272479
123	0.298669715446877	0.597339430893754	0.701330284553123
124	0.358603119976688	0.717206239953376	0.641396880023312
125	0.358411131922111	0.716822263844222	0.641588868077889
126	0.348528647916043	0.697057295832086	0.651471352083957
127	0.322116458089379	0.644232916178757	0.677883541910621
128	0.293973149884724	0.587946299769447	0.706026850115276
129	0.364581365095385	0.729162730190769	0.635418634904615
130	0.354754099145963	0.709508198291926	0.645245900854037
131	0.329929852675074	0.659859705350147	0.670070147324926
132	0.311048214270001	0.622096428540003	0.688951785729999
133	0.353527809045124	0.707055618090248	0.646472190954876
134	0.329132586550148	0.658265173100296	0.670867413449852
135	0.325200655963311	0.650401311926622	0.674799344036689
136	0.391285758669275	0.78257151733855	0.608714241330725
137	0.416288201955224	0.832576403910447	0.583711798044776
138	0.682385243032269	0.635229513935462	0.317614756967731
139	0.699875090867504	0.600249818264992	0.300124909132496
140	0.693521823136054	0.612956353727892	0.306478176863946
141	0.664337851387239	0.671324297225522	0.335662148612761
142	0.651768077311751	0.696463845376499	0.348231922688249
143	0.631801278082111	0.736397443835778	0.368198721917889
144	0.602050502573482	0.795898994853035	0.397949497426518
145	0.600242673200386	0.799514653599227	0.399757326799614
146	0.569163377541088	0.861673244917824	0.430836622458912
147	0.536111420856102	0.927777158287797	0.463888579143898
148	0.517306562729317	0.965386874541365	0.482693437270683
149	0.485147797327239	0.970295594654477	0.514852202672761
150	0.451410697083749	0.902821394167498	0.548589302916251
151	0.431345851298803	0.862691702597607	0.568654148701197
152	0.407113614499139	0.814227228998278	0.592886385500861
153	0.387804873454194	0.775609746908388	0.612195126545806
154	0.360886012059885	0.721772024119769	0.639113987940115
155	0.376161136862226	0.752322273724453	0.623838863137774
156	0.395350247473824	0.790700494947648	0.604649752526176
157	0.408671206185383	0.817342412370767	0.591328793814617
158	0.380802652496526	0.761605304993053	0.619197347503474
159	0.3551686170998	0.7103372341996	0.6448313829002
160	0.400738716815289	0.801477433630578	0.599261283184711
161	0.394625591440178	0.789251182880356	0.605374408559822
162	0.377957517391665	0.75591503478333	0.622042482608335
163	0.43610737706322	0.87221475412644	0.56389262293678
164	0.408658597177204	0.817317194354408	0.591341402822796
165	0.403461952379393	0.806923904758786	0.596538047620607
166	0.371302597402403	0.742605194804807	0.628697402597597
167	0.369111737863264	0.738223475726528	0.630888262136736
168	0.389310500014053	0.778621000028106	0.610689499985947
169	0.499027907643994	0.998055815287988	0.500972092356006
170	0.576200145577668	0.847599708844664	0.423799854422332
171	0.546380295338064	0.907239409323871	0.453619704661936
172	0.527780155088565	0.944439689822869	0.472219844911435
173	0.511595500337577	0.976808999324845	0.488404499662423
174	0.659290830315145	0.681418339369709	0.340709169684855
175	0.67041957093156	0.659160858136881	0.32958042906844
176	0.696116882425762	0.607766235148475	0.303883117574238
177	0.682619631690958	0.634760736618084	0.317380368309042
178	0.740907053506356	0.518185892987287	0.259092946493644
179	0.775727573134375	0.448544853731249	0.224272426865625
180	0.75106952923603	0.49786094152794	0.24893047076397
181	0.807600789157903	0.384798421684194	0.192399210842097
182	0.879735867925104	0.240528264149791	0.120264132074895
183	0.865159302525005	0.269681394949989	0.134840697474995
184	0.891287307721996	0.217425384556008	0.108712692278004
185	0.994994217179689	0.0100115656406229	0.00500578282031146
186	0.994378625152733	0.011242749694533	0.00562137484726651
187	0.995437394654027	0.00912521069194651	0.00456260534597326
188	0.994765201720053	0.0104695965598944	0.00523479827994722
189	0.993255802748827	0.0134883945023463	0.00674419725117316
190	0.992399770481113	0.0152004590377746	0.00760022951888728
191	0.992880160303905	0.0142396793921901	0.00711983969609504
192	0.991493712996237	0.0170125740075263	0.00850628700376313
193	0.994827961549914	0.0103440769001722	0.00517203845008609
194	0.993538191260464	0.0129236174790713	0.00646180873953567
195	0.992320190751986	0.0153596184960273	0.00767980924801367
196	0.99021552811585	0.0195689437683	0.00978447188414999
197	0.987465327781123	0.0250693444377533	0.0125346722188766
198	0.984669549338062	0.0306609013238752	0.0153304506619376
199	0.980596369238728	0.0388072615225446	0.0194036307612723
200	0.978962447294999	0.0420751054100012	0.0210375527050006
201	0.974871568685504	0.0502568626289929	0.0251284313144964
202	0.976216518547877	0.0475669629042459	0.0237834814521229
203	0.972404398198029	0.055191203603941	0.0275956018019705
204	0.967372833254857	0.0652543334902866	0.0326271667451433
205	0.963315652290516	0.073368695418969	0.0366843477094845
206	0.954775741290333	0.0904485174193331	0.0452242587096666
207	0.973547243123917	0.052905513752165	0.0264527568760825
208	0.979256035260875	0.0414879294782506	0.0207439647391253
209	0.979051126141978	0.041897747716045	0.0209488738580225
210	0.979429588535227	0.0411408229295469	0.0205704114647735
211	0.979467909847275	0.0410641803054507	0.0205320901527254
212	0.974500306769629	0.0509993864607428	0.0254996932303714
213	0.972551669399006	0.0548966612019887	0.0274483306009944
214	0.976578638912029	0.0468427221759421	0.023421361087971
215	0.972254147276757	0.0554917054464862	0.0277458527232431
216	0.967728210313537	0.064543579372926	0.032271789686463
217	0.959955062852266	0.0800898742954674	0.0400449371477337
218	0.95144520341477	0.0971095931704591	0.0485547965852295
219	0.966224376763136	0.067551246473729	0.0337756232368645
220	0.95781387841409	0.0843722431718208	0.0421861215859104
221	0.959360470919242	0.0812790581615151	0.0406395290807576
222	0.97878018318314	0.0424396336337202	0.0212198168168601
223	0.973687107458707	0.0526257850825863	0.0263128925412932
224	0.971297572357167	0.057404855285666	0.028702427642833
225	0.964714988667186	0.070570022665629	0.0352850113328145
226	0.964778985070863	0.0704420298582738	0.0352210149291369
227	0.958644305060538	0.0827113898789237	0.0413556949394619
228	0.957118743752742	0.0857625124945158	0.0428812562472579
229	0.988363973635081	0.0232720527298374	0.0116360263649187
230	0.993021138007744	0.0139577239845113	0.00697886199225563
231	0.990754025120382	0.0184919497592356	0.00924597487961779
232	0.99109733131234	0.0178053373753208	0.00890266868766041
233	0.989088383343286	0.0218232333134274	0.0109116166567137
234	0.990344583919506	0.0193108321609877	0.00965541608049385
235	0.988047152209233	0.023905695581534	0.011952847790767
236	0.994310670526552	0.0113786589468953	0.00568932947344765
237	0.99311004106728	0.0137799178654409	0.00688995893272043
238	0.990829377786149	0.0183412444277023	0.00917062221385116
239	0.992112848899333	0.0157743022013341	0.00788715110066705
240	0.989506218873417	0.0209875622531659	0.0104937811265829
241	0.986739529299319	0.0265209414013625	0.0132604707006812
242	0.983790379653859	0.0324192406922814	0.0162096203461407
243	0.978941926263212	0.0421161474735768	0.0210580737367884
244	0.971951841920903	0.0560963161581934	0.0280481580790967
245	0.962447691959613	0.0751046160807739	0.037552308040387
246	0.976095528093138	0.0478089438137238	0.0239044719068619
247	0.982723311345979	0.0345533773080417	0.0172766886540208
248	0.982189947675809	0.0356201046483817	0.0178100523241909
249	0.980418827474563	0.0391623450508745	0.0195811725254373
250	0.974139201253103	0.051721597493793	0.0258607987468965
251	0.964962349832293	0.0700753003354131	0.0350376501677066
252	0.964410222096021	0.0711795558079582	0.0355897779039791
253	0.952439344463346	0.095121311073308	0.047560655536654
254	0.935683722365975	0.12863255526805	0.0643162776340251
255	0.91947240912099	0.16105518175802	0.08052759087901
256	0.96056310099825	0.0788737980035005	0.0394368990017503
257	0.950819332146326	0.0983613357073489	0.0491806678536745
258	0.951237980454517	0.0975240390909656	0.0487620195454828
259	0.93228692887319	0.13542614225362	0.0677130711268099
260	0.952636707439857	0.0947265851202851	0.0473632925601425
261	0.933177695594172	0.133644608811657	0.0668223044058285
262	0.907290356939515	0.18541928612097	0.0927096430604852
263	0.888416560715044	0.223166878569912	0.111583439284956
264	0.86145298108253	0.277094037834939	0.13854701891747
265	0.829412473072578	0.341175053854844	0.170587526927422
266	0.805615472623644	0.388769054752713	0.194384527376356
267	0.749383602216127	0.501232795567747	0.250616397783874
268	0.924319755647051	0.151360488705898	0.075680244352949
269	0.911189188856435	0.177621622287129	0.0888108111435646
270	0.871907389150175	0.25618522169965	0.128092610849825
271	0.84332111405689	0.31335777188622	0.15667888594311
272	0.777237815612918	0.445524368774165	0.222762184387082
273	0.715151616264766	0.569696767470468	0.284848383735234
274	0.690243696718992	0.619512606562016	0.309756303281008
275	0.655645193961098	0.688709612077803	0.344354806038902
276	0.556950673462208	0.886098653075584	0.443049326537792
277	0.95036278940528	0.0992744211894403	0.0496372105947201
278	0.896325008119422	0.207349983761155	0.103674991880578
279	0.845603953640671	0.308792092718659	0.154396046359329

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
9 & 0.729192668273071 & 0.541614663453858 & 0.270807331726929 \tabularnewline
10 & 0.593177798170657 & 0.813644403658686 & 0.406822201829343 \tabularnewline
11 & 0.450575750094916 & 0.901151500189831 & 0.549424249905084 \tabularnewline
12 & 0.336578986136667 & 0.673157972273334 & 0.663421013863333 \tabularnewline
13 & 0.246751201385078 & 0.493502402770157 & 0.753248798614922 \tabularnewline
14 & 0.173636560693083 & 0.347273121386165 & 0.826363439306917 \tabularnewline
15 & 0.160189247847321 & 0.320378495694641 & 0.839810752152679 \tabularnewline
16 & 0.686942525606664 & 0.626114948786673 & 0.313057474393336 \tabularnewline
17 & 0.609009882375352 & 0.781980235249295 & 0.390990117624648 \tabularnewline
18 & 0.560726490825813 & 0.878547018348374 & 0.439273509174187 \tabularnewline
19 & 0.555988646323006 & 0.888022707353987 & 0.444011353676994 \tabularnewline
20 & 0.479222279373439 & 0.958444558746878 & 0.520777720626561 \tabularnewline
21 & 0.416318322978675 & 0.83263664595735 & 0.583681677021325 \tabularnewline
22 & 0.533269668154421 & 0.933460663691158 & 0.466730331845579 \tabularnewline
23 & 0.475355562843964 & 0.950711125687929 & 0.524644437156036 \tabularnewline
24 & 0.409967547611635 & 0.819935095223269 & 0.590032452388365 \tabularnewline
25 & 0.561660613091326 & 0.876678773817348 & 0.438339386908674 \tabularnewline
26 & 0.525663520491726 & 0.948672959016548 & 0.474336479508274 \tabularnewline
27 & 0.461644814928005 & 0.923289629856009 & 0.538355185071995 \tabularnewline
28 & 0.406533057189335 & 0.813066114378671 & 0.593466942810665 \tabularnewline
29 & 0.357865967256356 & 0.715731934512711 & 0.642134032743644 \tabularnewline
30 & 0.333962695537507 & 0.667925391075014 & 0.666037304462493 \tabularnewline
31 & 0.279964584538065 & 0.559929169076129 & 0.720035415461935 \tabularnewline
32 & 0.238700203905142 & 0.477400407810284 & 0.761299796094858 \tabularnewline
33 & 0.235083170715667 & 0.470166341431335 & 0.764916829284333 \tabularnewline
34 & 0.201591707349325 & 0.403183414698651 & 0.798408292650675 \tabularnewline
35 & 0.167431355236626 & 0.334862710473251 & 0.832568644763374 \tabularnewline
36 & 0.156421146439271 & 0.312842292878541 & 0.843578853560729 \tabularnewline
37 & 0.16691279829421 & 0.33382559658842 & 0.83308720170579 \tabularnewline
38 & 0.161195871088379 & 0.322391742176758 & 0.838804128911621 \tabularnewline
39 & 0.983059376010007 & 0.0338812479799869 & 0.0169406239899934 \tabularnewline
40 & 0.98115423833264 & 0.03769152333472 & 0.01884576166736 \tabularnewline
41 & 0.984899266933366 & 0.030201466133267 & 0.0151007330666335 \tabularnewline
42 & 0.980729164837471 & 0.0385416703250578 & 0.0192708351625289 \tabularnewline
43 & 0.97457878745579 & 0.05084242508842 & 0.02542121254421 \tabularnewline
44 & 0.966899435006588 & 0.0662011299868247 & 0.0331005649934124 \tabularnewline
45 & 0.957308885157078 & 0.0853822296858443 & 0.0426911148429221 \tabularnewline
46 & 0.945744168355495 & 0.108511663289009 & 0.0542558316445047 \tabularnewline
47 & 0.933267780442622 & 0.133464439114756 & 0.0667322195573782 \tabularnewline
48 & 0.91702422139231 & 0.165951557215381 & 0.0829757786076903 \tabularnewline
49 & 0.940865378735982 & 0.118269242528035 & 0.0591346212640177 \tabularnewline
50 & 0.936683539608335 & 0.12663292078333 & 0.0633164603916651 \tabularnewline
51 & 0.921680298056212 & 0.156639403887576 & 0.0783197019437881 \tabularnewline
52 & 0.911321413557297 & 0.177357172885405 & 0.0886785864427027 \tabularnewline
53 & 0.925963337912043 & 0.148073324175914 & 0.0740366620879569 \tabularnewline
54 & 0.912674734124391 & 0.174650531751218 & 0.0873252658756092 \tabularnewline
55 & 0.898332238999721 & 0.203335522000557 & 0.101667761000279 \tabularnewline
56 & 0.937212006557819 & 0.125575986884362 & 0.0627879934421808 \tabularnewline
57 & 0.934713023564938 & 0.130573952870125 & 0.0652869764350624 \tabularnewline
58 & 0.920086201707793 & 0.159827596584413 & 0.0799137982922066 \tabularnewline
59 & 0.923352385106453 & 0.153295229787093 & 0.0766476148935466 \tabularnewline
60 & 0.907685243945541 & 0.184629512108917 & 0.0923147560544586 \tabularnewline
61 & 0.902564003946702 & 0.194871992106596 & 0.0974359960532981 \tabularnewline
62 & 0.909897981535234 & 0.180204036929531 & 0.0901020184647656 \tabularnewline
63 & 0.905317954970519 & 0.189364090058963 & 0.0946820450294814 \tabularnewline
64 & 0.888842594532079 & 0.222314810935841 & 0.111157405467921 \tabularnewline
65 & 0.869550154272492 & 0.260899691455015 & 0.130449845727508 \tabularnewline
66 & 0.870503387516213 & 0.258993224967574 & 0.129496612483787 \tabularnewline
67 & 0.865404955315194 & 0.269190089369611 & 0.134595044684806 \tabularnewline
68 & 0.842911147916814 & 0.314177704166372 & 0.157088852083186 \tabularnewline
69 & 0.819059382917869 & 0.361881234164261 & 0.180940617082131 \tabularnewline
70 & 0.808441701366024 & 0.383116597267953 & 0.191558298633976 \tabularnewline
71 & 0.845248147980683 & 0.309503704038634 & 0.154751852019317 \tabularnewline
72 & 0.843592082597495 & 0.312815834805009 & 0.156407917402505 \tabularnewline
73 & 0.820672152247426 & 0.358655695505148 & 0.179327847752574 \tabularnewline
74 & 0.808153109644949 & 0.383693780710102 & 0.191846890355051 \tabularnewline
75 & 0.782475063530988 & 0.435049872938024 & 0.217524936469012 \tabularnewline
76 & 0.764869672686035 & 0.470260654627929 & 0.235130327313965 \tabularnewline
77 & 0.739829049050713 & 0.520341901898573 & 0.260170950949287 \tabularnewline
78 & 0.713674966330915 & 0.57265006733817 & 0.286325033669085 \tabularnewline
79 & 0.681081836497367 & 0.637836327005266 & 0.318918163502633 \tabularnewline
80 & 0.65593909921767 & 0.688121801564659 & 0.34406090078233 \tabularnewline
81 & 0.642507322432647 & 0.714985355134706 & 0.357492677567353 \tabularnewline
82 & 0.651118533898838 & 0.697762932202324 & 0.348881466101162 \tabularnewline
83 & 0.652009971157234 & 0.695980057685532 & 0.347990028842766 \tabularnewline
84 & 0.632167853114181 & 0.735664293771638 & 0.367832146885819 \tabularnewline
85 & 0.604080425091346 & 0.791839149817308 & 0.395919574908654 \tabularnewline
86 & 0.568589999395772 & 0.862820001208456 & 0.431410000604228 \tabularnewline
87 & 0.537389229216822 & 0.925221541566355 & 0.462610770783178 \tabularnewline
88 & 0.502756350755118 & 0.994487298489765 & 0.497243649244882 \tabularnewline
89 & 0.52326167524889 & 0.953476649502221 & 0.47673832475111 \tabularnewline
90 & 0.48919117646934 & 0.978382352938681 & 0.51080882353066 \tabularnewline
91 & 0.467808766438244 & 0.935617532876488 & 0.532191233561756 \tabularnewline
92 & 0.436837830617578 & 0.873675661235157 & 0.563162169382422 \tabularnewline
93 & 0.405152733067056 & 0.810305466134111 & 0.594847266932944 \tabularnewline
94 & 0.399988461378533 & 0.799976922757067 & 0.600011538621467 \tabularnewline
95 & 0.38338658594353 & 0.766773171887061 & 0.61661341405647 \tabularnewline
96 & 0.350502503357908 & 0.701005006715817 & 0.649497496642092 \tabularnewline
97 & 0.623235519193825 & 0.75352896161235 & 0.376764480806175 \tabularnewline
98 & 0.6067894457674 & 0.786421108465199 & 0.3932105542326 \tabularnewline
99 & 0.578791720010968 & 0.842416559978064 & 0.421208279989032 \tabularnewline
100 & 0.555519159237611 & 0.888961681524777 & 0.444480840762389 \tabularnewline
101 & 0.523223985355824 & 0.953552029288352 & 0.476776014644176 \tabularnewline
102 & 0.532500620094514 & 0.934998759810972 & 0.467499379905486 \tabularnewline
103 & 0.502004360981878 & 0.995991278036243 & 0.497995639018122 \tabularnewline
104 & 0.488387321378502 & 0.976774642757004 & 0.511612678621498 \tabularnewline
105 & 0.459838655668365 & 0.91967731133673 & 0.540161344331635 \tabularnewline
106 & 0.559738633299571 & 0.880522733400857 & 0.440261366700429 \tabularnewline
107 & 0.536177917175558 & 0.927644165648885 & 0.463822082824442 \tabularnewline
108 & 0.503052026578575 & 0.99389594684285 & 0.496947973421425 \tabularnewline
109 & 0.471203535254103 & 0.942407070508206 & 0.528796464745897 \tabularnewline
110 & 0.437763543496368 & 0.875527086992737 & 0.562236456503632 \tabularnewline
111 & 0.407678389481497 & 0.815356778962994 & 0.592321610518503 \tabularnewline
112 & 0.445069077210605 & 0.890138154421209 & 0.554930922789395 \tabularnewline
113 & 0.426782717372829 & 0.853565434745658 & 0.573217282627171 \tabularnewline
114 & 0.39356375178885 & 0.787127503577699 & 0.60643624821115 \tabularnewline
115 & 0.360320083120748 & 0.720640166241497 & 0.639679916879252 \tabularnewline
116 & 0.328796892844134 & 0.657593785688269 & 0.671203107155866 \tabularnewline
117 & 0.371017626568984 & 0.742035253137967 & 0.628982373431016 \tabularnewline
118 & 0.344191272181578 & 0.688382544363156 & 0.655808727818422 \tabularnewline
119 & 0.325177148534311 & 0.650354297068623 & 0.674822851465689 \tabularnewline
120 & 0.297970395052734 & 0.595940790105469 & 0.702029604947266 \tabularnewline
121 & 0.291252322738584 & 0.582504645477167 & 0.708747677261416 \tabularnewline
122 & 0.265265098727521 & 0.530530197455041 & 0.734734901272479 \tabularnewline
123 & 0.298669715446877 & 0.597339430893754 & 0.701330284553123 \tabularnewline
124 & 0.358603119976688 & 0.717206239953376 & 0.641396880023312 \tabularnewline
125 & 0.358411131922111 & 0.716822263844222 & 0.641588868077889 \tabularnewline
126 & 0.348528647916043 & 0.697057295832086 & 0.651471352083957 \tabularnewline
127 & 0.322116458089379 & 0.644232916178757 & 0.677883541910621 \tabularnewline
128 & 0.293973149884724 & 0.587946299769447 & 0.706026850115276 \tabularnewline
129 & 0.364581365095385 & 0.729162730190769 & 0.635418634904615 \tabularnewline
130 & 0.354754099145963 & 0.709508198291926 & 0.645245900854037 \tabularnewline
131 & 0.329929852675074 & 0.659859705350147 & 0.670070147324926 \tabularnewline
132 & 0.311048214270001 & 0.622096428540003 & 0.688951785729999 \tabularnewline
133 & 0.353527809045124 & 0.707055618090248 & 0.646472190954876 \tabularnewline
134 & 0.329132586550148 & 0.658265173100296 & 0.670867413449852 \tabularnewline
135 & 0.325200655963311 & 0.650401311926622 & 0.674799344036689 \tabularnewline
136 & 0.391285758669275 & 0.78257151733855 & 0.608714241330725 \tabularnewline
137 & 0.416288201955224 & 0.832576403910447 & 0.583711798044776 \tabularnewline
138 & 0.682385243032269 & 0.635229513935462 & 0.317614756967731 \tabularnewline
139 & 0.699875090867504 & 0.600249818264992 & 0.300124909132496 \tabularnewline
140 & 0.693521823136054 & 0.612956353727892 & 0.306478176863946 \tabularnewline
141 & 0.664337851387239 & 0.671324297225522 & 0.335662148612761 \tabularnewline
142 & 0.651768077311751 & 0.696463845376499 & 0.348231922688249 \tabularnewline
143 & 0.631801278082111 & 0.736397443835778 & 0.368198721917889 \tabularnewline
144 & 0.602050502573482 & 0.795898994853035 & 0.397949497426518 \tabularnewline
145 & 0.600242673200386 & 0.799514653599227 & 0.399757326799614 \tabularnewline
146 & 0.569163377541088 & 0.861673244917824 & 0.430836622458912 \tabularnewline
147 & 0.536111420856102 & 0.927777158287797 & 0.463888579143898 \tabularnewline
148 & 0.517306562729317 & 0.965386874541365 & 0.482693437270683 \tabularnewline
149 & 0.485147797327239 & 0.970295594654477 & 0.514852202672761 \tabularnewline
150 & 0.451410697083749 & 0.902821394167498 & 0.548589302916251 \tabularnewline
151 & 0.431345851298803 & 0.862691702597607 & 0.568654148701197 \tabularnewline
152 & 0.407113614499139 & 0.814227228998278 & 0.592886385500861 \tabularnewline
153 & 0.387804873454194 & 0.775609746908388 & 0.612195126545806 \tabularnewline
154 & 0.360886012059885 & 0.721772024119769 & 0.639113987940115 \tabularnewline
155 & 0.376161136862226 & 0.752322273724453 & 0.623838863137774 \tabularnewline
156 & 0.395350247473824 & 0.790700494947648 & 0.604649752526176 \tabularnewline
157 & 0.408671206185383 & 0.817342412370767 & 0.591328793814617 \tabularnewline
158 & 0.380802652496526 & 0.761605304993053 & 0.619197347503474 \tabularnewline
159 & 0.3551686170998 & 0.7103372341996 & 0.6448313829002 \tabularnewline
160 & 0.400738716815289 & 0.801477433630578 & 0.599261283184711 \tabularnewline
161 & 0.394625591440178 & 0.789251182880356 & 0.605374408559822 \tabularnewline
162 & 0.377957517391665 & 0.75591503478333 & 0.622042482608335 \tabularnewline
163 & 0.43610737706322 & 0.87221475412644 & 0.56389262293678 \tabularnewline
164 & 0.408658597177204 & 0.817317194354408 & 0.591341402822796 \tabularnewline
165 & 0.403461952379393 & 0.806923904758786 & 0.596538047620607 \tabularnewline
166 & 0.371302597402403 & 0.742605194804807 & 0.628697402597597 \tabularnewline
167 & 0.369111737863264 & 0.738223475726528 & 0.630888262136736 \tabularnewline
168 & 0.389310500014053 & 0.778621000028106 & 0.610689499985947 \tabularnewline
169 & 0.499027907643994 & 0.998055815287988 & 0.500972092356006 \tabularnewline
170 & 0.576200145577668 & 0.847599708844664 & 0.423799854422332 \tabularnewline
171 & 0.546380295338064 & 0.907239409323871 & 0.453619704661936 \tabularnewline
172 & 0.527780155088565 & 0.944439689822869 & 0.472219844911435 \tabularnewline
173 & 0.511595500337577 & 0.976808999324845 & 0.488404499662423 \tabularnewline
174 & 0.659290830315145 & 0.681418339369709 & 0.340709169684855 \tabularnewline
175 & 0.67041957093156 & 0.659160858136881 & 0.32958042906844 \tabularnewline
176 & 0.696116882425762 & 0.607766235148475 & 0.303883117574238 \tabularnewline
177 & 0.682619631690958 & 0.634760736618084 & 0.317380368309042 \tabularnewline
178 & 0.740907053506356 & 0.518185892987287 & 0.259092946493644 \tabularnewline
179 & 0.775727573134375 & 0.448544853731249 & 0.224272426865625 \tabularnewline
180 & 0.75106952923603 & 0.49786094152794 & 0.24893047076397 \tabularnewline
181 & 0.807600789157903 & 0.384798421684194 & 0.192399210842097 \tabularnewline
182 & 0.879735867925104 & 0.240528264149791 & 0.120264132074895 \tabularnewline
183 & 0.865159302525005 & 0.269681394949989 & 0.134840697474995 \tabularnewline
184 & 0.891287307721996 & 0.217425384556008 & 0.108712692278004 \tabularnewline
185 & 0.994994217179689 & 0.0100115656406229 & 0.00500578282031146 \tabularnewline
186 & 0.994378625152733 & 0.011242749694533 & 0.00562137484726651 \tabularnewline
187 & 0.995437394654027 & 0.00912521069194651 & 0.00456260534597326 \tabularnewline
188 & 0.994765201720053 & 0.0104695965598944 & 0.00523479827994722 \tabularnewline
189 & 0.993255802748827 & 0.0134883945023463 & 0.00674419725117316 \tabularnewline
190 & 0.992399770481113 & 0.0152004590377746 & 0.00760022951888728 \tabularnewline
191 & 0.992880160303905 & 0.0142396793921901 & 0.00711983969609504 \tabularnewline
192 & 0.991493712996237 & 0.0170125740075263 & 0.00850628700376313 \tabularnewline
193 & 0.994827961549914 & 0.0103440769001722 & 0.00517203845008609 \tabularnewline
194 & 0.993538191260464 & 0.0129236174790713 & 0.00646180873953567 \tabularnewline
195 & 0.992320190751986 & 0.0153596184960273 & 0.00767980924801367 \tabularnewline
196 & 0.99021552811585 & 0.0195689437683 & 0.00978447188414999 \tabularnewline
197 & 0.987465327781123 & 0.0250693444377533 & 0.0125346722188766 \tabularnewline
198 & 0.984669549338062 & 0.0306609013238752 & 0.0153304506619376 \tabularnewline
199 & 0.980596369238728 & 0.0388072615225446 & 0.0194036307612723 \tabularnewline
200 & 0.978962447294999 & 0.0420751054100012 & 0.0210375527050006 \tabularnewline
201 & 0.974871568685504 & 0.0502568626289929 & 0.0251284313144964 \tabularnewline
202 & 0.976216518547877 & 0.0475669629042459 & 0.0237834814521229 \tabularnewline
203 & 0.972404398198029 & 0.055191203603941 & 0.0275956018019705 \tabularnewline
204 & 0.967372833254857 & 0.0652543334902866 & 0.0326271667451433 \tabularnewline
205 & 0.963315652290516 & 0.073368695418969 & 0.0366843477094845 \tabularnewline
206 & 0.954775741290333 & 0.0904485174193331 & 0.0452242587096666 \tabularnewline
207 & 0.973547243123917 & 0.052905513752165 & 0.0264527568760825 \tabularnewline
208 & 0.979256035260875 & 0.0414879294782506 & 0.0207439647391253 \tabularnewline
209 & 0.979051126141978 & 0.041897747716045 & 0.0209488738580225 \tabularnewline
210 & 0.979429588535227 & 0.0411408229295469 & 0.0205704114647735 \tabularnewline
211 & 0.979467909847275 & 0.0410641803054507 & 0.0205320901527254 \tabularnewline
212 & 0.974500306769629 & 0.0509993864607428 & 0.0254996932303714 \tabularnewline
213 & 0.972551669399006 & 0.0548966612019887 & 0.0274483306009944 \tabularnewline
214 & 0.976578638912029 & 0.0468427221759421 & 0.023421361087971 \tabularnewline
215 & 0.972254147276757 & 0.0554917054464862 & 0.0277458527232431 \tabularnewline
216 & 0.967728210313537 & 0.064543579372926 & 0.032271789686463 \tabularnewline
217 & 0.959955062852266 & 0.0800898742954674 & 0.0400449371477337 \tabularnewline
218 & 0.95144520341477 & 0.0971095931704591 & 0.0485547965852295 \tabularnewline
219 & 0.966224376763136 & 0.067551246473729 & 0.0337756232368645 \tabularnewline
220 & 0.95781387841409 & 0.0843722431718208 & 0.0421861215859104 \tabularnewline
221 & 0.959360470919242 & 0.0812790581615151 & 0.0406395290807576 \tabularnewline
222 & 0.97878018318314 & 0.0424396336337202 & 0.0212198168168601 \tabularnewline
223 & 0.973687107458707 & 0.0526257850825863 & 0.0263128925412932 \tabularnewline
224 & 0.971297572357167 & 0.057404855285666 & 0.028702427642833 \tabularnewline
225 & 0.964714988667186 & 0.070570022665629 & 0.0352850113328145 \tabularnewline
226 & 0.964778985070863 & 0.0704420298582738 & 0.0352210149291369 \tabularnewline
227 & 0.958644305060538 & 0.0827113898789237 & 0.0413556949394619 \tabularnewline
228 & 0.957118743752742 & 0.0857625124945158 & 0.0428812562472579 \tabularnewline
229 & 0.988363973635081 & 0.0232720527298374 & 0.0116360263649187 \tabularnewline
230 & 0.993021138007744 & 0.0139577239845113 & 0.00697886199225563 \tabularnewline
231 & 0.990754025120382 & 0.0184919497592356 & 0.00924597487961779 \tabularnewline
232 & 0.99109733131234 & 0.0178053373753208 & 0.00890266868766041 \tabularnewline
233 & 0.989088383343286 & 0.0218232333134274 & 0.0109116166567137 \tabularnewline
234 & 0.990344583919506 & 0.0193108321609877 & 0.00965541608049385 \tabularnewline
235 & 0.988047152209233 & 0.023905695581534 & 0.011952847790767 \tabularnewline
236 & 0.994310670526552 & 0.0113786589468953 & 0.00568932947344765 \tabularnewline
237 & 0.99311004106728 & 0.0137799178654409 & 0.00688995893272043 \tabularnewline
238 & 0.990829377786149 & 0.0183412444277023 & 0.00917062221385116 \tabularnewline
239 & 0.992112848899333 & 0.0157743022013341 & 0.00788715110066705 \tabularnewline
240 & 0.989506218873417 & 0.0209875622531659 & 0.0104937811265829 \tabularnewline
241 & 0.986739529299319 & 0.0265209414013625 & 0.0132604707006812 \tabularnewline
242 & 0.983790379653859 & 0.0324192406922814 & 0.0162096203461407 \tabularnewline
243 & 0.978941926263212 & 0.0421161474735768 & 0.0210580737367884 \tabularnewline
244 & 0.971951841920903 & 0.0560963161581934 & 0.0280481580790967 \tabularnewline
245 & 0.962447691959613 & 0.0751046160807739 & 0.037552308040387 \tabularnewline
246 & 0.976095528093138 & 0.0478089438137238 & 0.0239044719068619 \tabularnewline
247 & 0.982723311345979 & 0.0345533773080417 & 0.0172766886540208 \tabularnewline
248 & 0.982189947675809 & 0.0356201046483817 & 0.0178100523241909 \tabularnewline
249 & 0.980418827474563 & 0.0391623450508745 & 0.0195811725254373 \tabularnewline
250 & 0.974139201253103 & 0.051721597493793 & 0.0258607987468965 \tabularnewline
251 & 0.964962349832293 & 0.0700753003354131 & 0.0350376501677066 \tabularnewline
252 & 0.964410222096021 & 0.0711795558079582 & 0.0355897779039791 \tabularnewline
253 & 0.952439344463346 & 0.095121311073308 & 0.047560655536654 \tabularnewline
254 & 0.935683722365975 & 0.12863255526805 & 0.0643162776340251 \tabularnewline
255 & 0.91947240912099 & 0.16105518175802 & 0.08052759087901 \tabularnewline
256 & 0.96056310099825 & 0.0788737980035005 & 0.0394368990017503 \tabularnewline
257 & 0.950819332146326 & 0.0983613357073489 & 0.0491806678536745 \tabularnewline
258 & 0.951237980454517 & 0.0975240390909656 & 0.0487620195454828 \tabularnewline
259 & 0.93228692887319 & 0.13542614225362 & 0.0677130711268099 \tabularnewline
260 & 0.952636707439857 & 0.0947265851202851 & 0.0473632925601425 \tabularnewline
261 & 0.933177695594172 & 0.133644608811657 & 0.0668223044058285 \tabularnewline
262 & 0.907290356939515 & 0.18541928612097 & 0.0927096430604852 \tabularnewline
263 & 0.888416560715044 & 0.223166878569912 & 0.111583439284956 \tabularnewline
264 & 0.86145298108253 & 0.277094037834939 & 0.13854701891747 \tabularnewline
265 & 0.829412473072578 & 0.341175053854844 & 0.170587526927422 \tabularnewline
266 & 0.805615472623644 & 0.388769054752713 & 0.194384527376356 \tabularnewline
267 & 0.749383602216127 & 0.501232795567747 & 0.250616397783874 \tabularnewline
268 & 0.924319755647051 & 0.151360488705898 & 0.075680244352949 \tabularnewline
269 & 0.911189188856435 & 0.177621622287129 & 0.0888108111435646 \tabularnewline
270 & 0.871907389150175 & 0.25618522169965 & 0.128092610849825 \tabularnewline
271 & 0.84332111405689 & 0.31335777188622 & 0.15667888594311 \tabularnewline
272 & 0.777237815612918 & 0.445524368774165 & 0.222762184387082 \tabularnewline
273 & 0.715151616264766 & 0.569696767470468 & 0.284848383735234 \tabularnewline
274 & 0.690243696718992 & 0.619512606562016 & 0.309756303281008 \tabularnewline
275 & 0.655645193961098 & 0.688709612077803 & 0.344354806038902 \tabularnewline
276 & 0.556950673462208 & 0.886098653075584 & 0.443049326537792 \tabularnewline
277 & 0.95036278940528 & 0.0992744211894403 & 0.0496372105947201 \tabularnewline
278 & 0.896325008119422 & 0.207349983761155 & 0.103674991880578 \tabularnewline
279 & 0.845603953640671 & 0.308792092718659 & 0.154396046359329 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=202089&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]9[/C][C]0.729192668273071[/C][C]0.541614663453858[/C][C]0.270807331726929[/C][/ROW]
[ROW][C]10[/C][C]0.593177798170657[/C][C]0.813644403658686[/C][C]0.406822201829343[/C][/ROW]
[ROW][C]11[/C][C]0.450575750094916[/C][C]0.901151500189831[/C][C]0.549424249905084[/C][/ROW]
[ROW][C]12[/C][C]0.336578986136667[/C][C]0.673157972273334[/C][C]0.663421013863333[/C][/ROW]
[ROW][C]13[/C][C]0.246751201385078[/C][C]0.493502402770157[/C][C]0.753248798614922[/C][/ROW]
[ROW][C]14[/C][C]0.173636560693083[/C][C]0.347273121386165[/C][C]0.826363439306917[/C][/ROW]
[ROW][C]15[/C][C]0.160189247847321[/C][C]0.320378495694641[/C][C]0.839810752152679[/C][/ROW]
[ROW][C]16[/C][C]0.686942525606664[/C][C]0.626114948786673[/C][C]0.313057474393336[/C][/ROW]
[ROW][C]17[/C][C]0.609009882375352[/C][C]0.781980235249295[/C][C]0.390990117624648[/C][/ROW]
[ROW][C]18[/C][C]0.560726490825813[/C][C]0.878547018348374[/C][C]0.439273509174187[/C][/ROW]
[ROW][C]19[/C][C]0.555988646323006[/C][C]0.888022707353987[/C][C]0.444011353676994[/C][/ROW]
[ROW][C]20[/C][C]0.479222279373439[/C][C]0.958444558746878[/C][C]0.520777720626561[/C][/ROW]
[ROW][C]21[/C][C]0.416318322978675[/C][C]0.83263664595735[/C][C]0.583681677021325[/C][/ROW]
[ROW][C]22[/C][C]0.533269668154421[/C][C]0.933460663691158[/C][C]0.466730331845579[/C][/ROW]
[ROW][C]23[/C][C]0.475355562843964[/C][C]0.950711125687929[/C][C]0.524644437156036[/C][/ROW]
[ROW][C]24[/C][C]0.409967547611635[/C][C]0.819935095223269[/C][C]0.590032452388365[/C][/ROW]
[ROW][C]25[/C][C]0.561660613091326[/C][C]0.876678773817348[/C][C]0.438339386908674[/C][/ROW]
[ROW][C]26[/C][C]0.525663520491726[/C][C]0.948672959016548[/C][C]0.474336479508274[/C][/ROW]
[ROW][C]27[/C][C]0.461644814928005[/C][C]0.923289629856009[/C][C]0.538355185071995[/C][/ROW]
[ROW][C]28[/C][C]0.406533057189335[/C][C]0.813066114378671[/C][C]0.593466942810665[/C][/ROW]
[ROW][C]29[/C][C]0.357865967256356[/C][C]0.715731934512711[/C][C]0.642134032743644[/C][/ROW]
[ROW][C]30[/C][C]0.333962695537507[/C][C]0.667925391075014[/C][C]0.666037304462493[/C][/ROW]
[ROW][C]31[/C][C]0.279964584538065[/C][C]0.559929169076129[/C][C]0.720035415461935[/C][/ROW]
[ROW][C]32[/C][C]0.238700203905142[/C][C]0.477400407810284[/C][C]0.761299796094858[/C][/ROW]
[ROW][C]33[/C][C]0.235083170715667[/C][C]0.470166341431335[/C][C]0.764916829284333[/C][/ROW]
[ROW][C]34[/C][C]0.201591707349325[/C][C]0.403183414698651[/C][C]0.798408292650675[/C][/ROW]
[ROW][C]35[/C][C]0.167431355236626[/C][C]0.334862710473251[/C][C]0.832568644763374[/C][/ROW]
[ROW][C]36[/C][C]0.156421146439271[/C][C]0.312842292878541[/C][C]0.843578853560729[/C][/ROW]
[ROW][C]37[/C][C]0.16691279829421[/C][C]0.33382559658842[/C][C]0.83308720170579[/C][/ROW]
[ROW][C]38[/C][C]0.161195871088379[/C][C]0.322391742176758[/C][C]0.838804128911621[/C][/ROW]
[ROW][C]39[/C][C]0.983059376010007[/C][C]0.0338812479799869[/C][C]0.0169406239899934[/C][/ROW]
[ROW][C]40[/C][C]0.98115423833264[/C][C]0.03769152333472[/C][C]0.01884576166736[/C][/ROW]
[ROW][C]41[/C][C]0.984899266933366[/C][C]0.030201466133267[/C][C]0.0151007330666335[/C][/ROW]
[ROW][C]42[/C][C]0.980729164837471[/C][C]0.0385416703250578[/C][C]0.0192708351625289[/C][/ROW]
[ROW][C]43[/C][C]0.97457878745579[/C][C]0.05084242508842[/C][C]0.02542121254421[/C][/ROW]
[ROW][C]44[/C][C]0.966899435006588[/C][C]0.0662011299868247[/C][C]0.0331005649934124[/C][/ROW]
[ROW][C]45[/C][C]0.957308885157078[/C][C]0.0853822296858443[/C][C]0.0426911148429221[/C][/ROW]
[ROW][C]46[/C][C]0.945744168355495[/C][C]0.108511663289009[/C][C]0.0542558316445047[/C][/ROW]
[ROW][C]47[/C][C]0.933267780442622[/C][C]0.133464439114756[/C][C]0.0667322195573782[/C][/ROW]
[ROW][C]48[/C][C]0.91702422139231[/C][C]0.165951557215381[/C][C]0.0829757786076903[/C][/ROW]
[ROW][C]49[/C][C]0.940865378735982[/C][C]0.118269242528035[/C][C]0.0591346212640177[/C][/ROW]
[ROW][C]50[/C][C]0.936683539608335[/C][C]0.12663292078333[/C][C]0.0633164603916651[/C][/ROW]
[ROW][C]51[/C][C]0.921680298056212[/C][C]0.156639403887576[/C][C]0.0783197019437881[/C][/ROW]
[ROW][C]52[/C][C]0.911321413557297[/C][C]0.177357172885405[/C][C]0.0886785864427027[/C][/ROW]
[ROW][C]53[/C][C]0.925963337912043[/C][C]0.148073324175914[/C][C]0.0740366620879569[/C][/ROW]
[ROW][C]54[/C][C]0.912674734124391[/C][C]0.174650531751218[/C][C]0.0873252658756092[/C][/ROW]
[ROW][C]55[/C][C]0.898332238999721[/C][C]0.203335522000557[/C][C]0.101667761000279[/C][/ROW]
[ROW][C]56[/C][C]0.937212006557819[/C][C]0.125575986884362[/C][C]0.0627879934421808[/C][/ROW]
[ROW][C]57[/C][C]0.934713023564938[/C][C]0.130573952870125[/C][C]0.0652869764350624[/C][/ROW]
[ROW][C]58[/C][C]0.920086201707793[/C][C]0.159827596584413[/C][C]0.0799137982922066[/C][/ROW]
[ROW][C]59[/C][C]0.923352385106453[/C][C]0.153295229787093[/C][C]0.0766476148935466[/C][/ROW]
[ROW][C]60[/C][C]0.907685243945541[/C][C]0.184629512108917[/C][C]0.0923147560544586[/C][/ROW]
[ROW][C]61[/C][C]0.902564003946702[/C][C]0.194871992106596[/C][C]0.0974359960532981[/C][/ROW]
[ROW][C]62[/C][C]0.909897981535234[/C][C]0.180204036929531[/C][C]0.0901020184647656[/C][/ROW]
[ROW][C]63[/C][C]0.905317954970519[/C][C]0.189364090058963[/C][C]0.0946820450294814[/C][/ROW]
[ROW][C]64[/C][C]0.888842594532079[/C][C]0.222314810935841[/C][C]0.111157405467921[/C][/ROW]
[ROW][C]65[/C][C]0.869550154272492[/C][C]0.260899691455015[/C][C]0.130449845727508[/C][/ROW]
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[ROW][C]203[/C][C]0.972404398198029[/C][C]0.055191203603941[/C][C]0.0275956018019705[/C][/ROW]
[ROW][C]204[/C][C]0.967372833254857[/C][C]0.0652543334902866[/C][C]0.0326271667451433[/C][/ROW]
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[ROW][C]208[/C][C]0.979256035260875[/C][C]0.0414879294782506[/C][C]0.0207439647391253[/C][/ROW]
[ROW][C]209[/C][C]0.979051126141978[/C][C]0.041897747716045[/C][C]0.0209488738580225[/C][/ROW]
[ROW][C]210[/C][C]0.979429588535227[/C][C]0.0411408229295469[/C][C]0.0205704114647735[/C][/ROW]
[ROW][C]211[/C][C]0.979467909847275[/C][C]0.0410641803054507[/C][C]0.0205320901527254[/C][/ROW]
[ROW][C]212[/C][C]0.974500306769629[/C][C]0.0509993864607428[/C][C]0.0254996932303714[/C][/ROW]
[ROW][C]213[/C][C]0.972551669399006[/C][C]0.0548966612019887[/C][C]0.0274483306009944[/C][/ROW]
[ROW][C]214[/C][C]0.976578638912029[/C][C]0.0468427221759421[/C][C]0.023421361087971[/C][/ROW]
[ROW][C]215[/C][C]0.972254147276757[/C][C]0.0554917054464862[/C][C]0.0277458527232431[/C][/ROW]
[ROW][C]216[/C][C]0.967728210313537[/C][C]0.064543579372926[/C][C]0.032271789686463[/C][/ROW]
[ROW][C]217[/C][C]0.959955062852266[/C][C]0.0800898742954674[/C][C]0.0400449371477337[/C][/ROW]
[ROW][C]218[/C][C]0.95144520341477[/C][C]0.0971095931704591[/C][C]0.0485547965852295[/C][/ROW]
[ROW][C]219[/C][C]0.966224376763136[/C][C]0.067551246473729[/C][C]0.0337756232368645[/C][/ROW]
[ROW][C]220[/C][C]0.95781387841409[/C][C]0.0843722431718208[/C][C]0.0421861215859104[/C][/ROW]
[ROW][C]221[/C][C]0.959360470919242[/C][C]0.0812790581615151[/C][C]0.0406395290807576[/C][/ROW]
[ROW][C]222[/C][C]0.97878018318314[/C][C]0.0424396336337202[/C][C]0.0212198168168601[/C][/ROW]
[ROW][C]223[/C][C]0.973687107458707[/C][C]0.0526257850825863[/C][C]0.0263128925412932[/C][/ROW]
[ROW][C]224[/C][C]0.971297572357167[/C][C]0.057404855285666[/C][C]0.028702427642833[/C][/ROW]
[ROW][C]225[/C][C]0.964714988667186[/C][C]0.070570022665629[/C][C]0.0352850113328145[/C][/ROW]
[ROW][C]226[/C][C]0.964778985070863[/C][C]0.0704420298582738[/C][C]0.0352210149291369[/C][/ROW]
[ROW][C]227[/C][C]0.958644305060538[/C][C]0.0827113898789237[/C][C]0.0413556949394619[/C][/ROW]
[ROW][C]228[/C][C]0.957118743752742[/C][C]0.0857625124945158[/C][C]0.0428812562472579[/C][/ROW]
[ROW][C]229[/C][C]0.988363973635081[/C][C]0.0232720527298374[/C][C]0.0116360263649187[/C][/ROW]
[ROW][C]230[/C][C]0.993021138007744[/C][C]0.0139577239845113[/C][C]0.00697886199225563[/C][/ROW]
[ROW][C]231[/C][C]0.990754025120382[/C][C]0.0184919497592356[/C][C]0.00924597487961779[/C][/ROW]
[ROW][C]232[/C][C]0.99109733131234[/C][C]0.0178053373753208[/C][C]0.00890266868766041[/C][/ROW]
[ROW][C]233[/C][C]0.989088383343286[/C][C]0.0218232333134274[/C][C]0.0109116166567137[/C][/ROW]
[ROW][C]234[/C][C]0.990344583919506[/C][C]0.0193108321609877[/C][C]0.00965541608049385[/C][/ROW]
[ROW][C]235[/C][C]0.988047152209233[/C][C]0.023905695581534[/C][C]0.011952847790767[/C][/ROW]
[ROW][C]236[/C][C]0.994310670526552[/C][C]0.0113786589468953[/C][C]0.00568932947344765[/C][/ROW]
[ROW][C]237[/C][C]0.99311004106728[/C][C]0.0137799178654409[/C][C]0.00688995893272043[/C][/ROW]
[ROW][C]238[/C][C]0.990829377786149[/C][C]0.0183412444277023[/C][C]0.00917062221385116[/C][/ROW]
[ROW][C]239[/C][C]0.992112848899333[/C][C]0.0157743022013341[/C][C]0.00788715110066705[/C][/ROW]
[ROW][C]240[/C][C]0.989506218873417[/C][C]0.0209875622531659[/C][C]0.0104937811265829[/C][/ROW]
[ROW][C]241[/C][C]0.986739529299319[/C][C]0.0265209414013625[/C][C]0.0132604707006812[/C][/ROW]
[ROW][C]242[/C][C]0.983790379653859[/C][C]0.0324192406922814[/C][C]0.0162096203461407[/C][/ROW]
[ROW][C]243[/C][C]0.978941926263212[/C][C]0.0421161474735768[/C][C]0.0210580737367884[/C][/ROW]
[ROW][C]244[/C][C]0.971951841920903[/C][C]0.0560963161581934[/C][C]0.0280481580790967[/C][/ROW]
[ROW][C]245[/C][C]0.962447691959613[/C][C]0.0751046160807739[/C][C]0.037552308040387[/C][/ROW]
[ROW][C]246[/C][C]0.976095528093138[/C][C]0.0478089438137238[/C][C]0.0239044719068619[/C][/ROW]
[ROW][C]247[/C][C]0.982723311345979[/C][C]0.0345533773080417[/C][C]0.0172766886540208[/C][/ROW]
[ROW][C]248[/C][C]0.982189947675809[/C][C]0.0356201046483817[/C][C]0.0178100523241909[/C][/ROW]
[ROW][C]249[/C][C]0.980418827474563[/C][C]0.0391623450508745[/C][C]0.0195811725254373[/C][/ROW]
[ROW][C]250[/C][C]0.974139201253103[/C][C]0.051721597493793[/C][C]0.0258607987468965[/C][/ROW]
[ROW][C]251[/C][C]0.964962349832293[/C][C]0.0700753003354131[/C][C]0.0350376501677066[/C][/ROW]
[ROW][C]252[/C][C]0.964410222096021[/C][C]0.0711795558079582[/C][C]0.0355897779039791[/C][/ROW]
[ROW][C]253[/C][C]0.952439344463346[/C][C]0.095121311073308[/C][C]0.047560655536654[/C][/ROW]
[ROW][C]254[/C][C]0.935683722365975[/C][C]0.12863255526805[/C][C]0.0643162776340251[/C][/ROW]
[ROW][C]255[/C][C]0.91947240912099[/C][C]0.16105518175802[/C][C]0.08052759087901[/C][/ROW]
[ROW][C]256[/C][C]0.96056310099825[/C][C]0.0788737980035005[/C][C]0.0394368990017503[/C][/ROW]
[ROW][C]257[/C][C]0.950819332146326[/C][C]0.0983613357073489[/C][C]0.0491806678536745[/C][/ROW]
[ROW][C]258[/C][C]0.951237980454517[/C][C]0.0975240390909656[/C][C]0.0487620195454828[/C][/ROW]
[ROW][C]259[/C][C]0.93228692887319[/C][C]0.13542614225362[/C][C]0.0677130711268099[/C][/ROW]
[ROW][C]260[/C][C]0.952636707439857[/C][C]0.0947265851202851[/C][C]0.0473632925601425[/C][/ROW]
[ROW][C]261[/C][C]0.933177695594172[/C][C]0.133644608811657[/C][C]0.0668223044058285[/C][/ROW]
[ROW][C]262[/C][C]0.907290356939515[/C][C]0.18541928612097[/C][C]0.0927096430604852[/C][/ROW]
[ROW][C]263[/C][C]0.888416560715044[/C][C]0.223166878569912[/C][C]0.111583439284956[/C][/ROW]
[ROW][C]264[/C][C]0.86145298108253[/C][C]0.277094037834939[/C][C]0.13854701891747[/C][/ROW]
[ROW][C]265[/C][C]0.829412473072578[/C][C]0.341175053854844[/C][C]0.170587526927422[/C][/ROW]
[ROW][C]266[/C][C]0.805615472623644[/C][C]0.388769054752713[/C][C]0.194384527376356[/C][/ROW]
[ROW][C]267[/C][C]0.749383602216127[/C][C]0.501232795567747[/C][C]0.250616397783874[/C][/ROW]
[ROW][C]268[/C][C]0.924319755647051[/C][C]0.151360488705898[/C][C]0.075680244352949[/C][/ROW]
[ROW][C]269[/C][C]0.911189188856435[/C][C]0.177621622287129[/C][C]0.0888108111435646[/C][/ROW]
[ROW][C]270[/C][C]0.871907389150175[/C][C]0.25618522169965[/C][C]0.128092610849825[/C][/ROW]
[ROW][C]271[/C][C]0.84332111405689[/C][C]0.31335777188622[/C][C]0.15667888594311[/C][/ROW]
[ROW][C]272[/C][C]0.777237815612918[/C][C]0.445524368774165[/C][C]0.222762184387082[/C][/ROW]
[ROW][C]273[/C][C]0.715151616264766[/C][C]0.569696767470468[/C][C]0.284848383735234[/C][/ROW]
[ROW][C]274[/C][C]0.690243696718992[/C][C]0.619512606562016[/C][C]0.309756303281008[/C][/ROW]
[ROW][C]275[/C][C]0.655645193961098[/C][C]0.688709612077803[/C][C]0.344354806038902[/C][/ROW]
[ROW][C]276[/C][C]0.556950673462208[/C][C]0.886098653075584[/C][C]0.443049326537792[/C][/ROW]
[ROW][C]277[/C][C]0.95036278940528[/C][C]0.0992744211894403[/C][C]0.0496372105947201[/C][/ROW]
[ROW][C]278[/C][C]0.896325008119422[/C][C]0.207349983761155[/C][C]0.103674991880578[/C][/ROW]
[ROW][C]279[/C][C]0.845603953640671[/C][C]0.308792092718659[/C][C]0.154396046359329[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=202089&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=202089&T=5

As an alternative you can also use a QR Code:

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

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
9	0.729192668273071	0.541614663453858	0.270807331726929
10	0.593177798170657	0.813644403658686	0.406822201829343
11	0.450575750094916	0.901151500189831	0.549424249905084
12	0.336578986136667	0.673157972273334	0.663421013863333
13	0.246751201385078	0.493502402770157	0.753248798614922
14	0.173636560693083	0.347273121386165	0.826363439306917
15	0.160189247847321	0.320378495694641	0.839810752152679
16	0.686942525606664	0.626114948786673	0.313057474393336
17	0.609009882375352	0.781980235249295	0.390990117624648
18	0.560726490825813	0.878547018348374	0.439273509174187
19	0.555988646323006	0.888022707353987	0.444011353676994
20	0.479222279373439	0.958444558746878	0.520777720626561
21	0.416318322978675	0.83263664595735	0.583681677021325
22	0.533269668154421	0.933460663691158	0.466730331845579
23	0.475355562843964	0.950711125687929	0.524644437156036
24	0.409967547611635	0.819935095223269	0.590032452388365
25	0.561660613091326	0.876678773817348	0.438339386908674
26	0.525663520491726	0.948672959016548	0.474336479508274
27	0.461644814928005	0.923289629856009	0.538355185071995
28	0.406533057189335	0.813066114378671	0.593466942810665
29	0.357865967256356	0.715731934512711	0.642134032743644
30	0.333962695537507	0.667925391075014	0.666037304462493
31	0.279964584538065	0.559929169076129	0.720035415461935
32	0.238700203905142	0.477400407810284	0.761299796094858
33	0.235083170715667	0.470166341431335	0.764916829284333
34	0.201591707349325	0.403183414698651	0.798408292650675
35	0.167431355236626	0.334862710473251	0.832568644763374
36	0.156421146439271	0.312842292878541	0.843578853560729
37	0.16691279829421	0.33382559658842	0.83308720170579
38	0.161195871088379	0.322391742176758	0.838804128911621
39	0.983059376010007	0.0338812479799869	0.0169406239899934
40	0.98115423833264	0.03769152333472	0.01884576166736
41	0.984899266933366	0.030201466133267	0.0151007330666335
42	0.980729164837471	0.0385416703250578	0.0192708351625289
43	0.97457878745579	0.05084242508842	0.02542121254421
44	0.966899435006588	0.0662011299868247	0.0331005649934124
45	0.957308885157078	0.0853822296858443	0.0426911148429221
46	0.945744168355495	0.108511663289009	0.0542558316445047
47	0.933267780442622	0.133464439114756	0.0667322195573782
48	0.91702422139231	0.165951557215381	0.0829757786076903
49	0.940865378735982	0.118269242528035	0.0591346212640177
50	0.936683539608335	0.12663292078333	0.0633164603916651
51	0.921680298056212	0.156639403887576	0.0783197019437881
52	0.911321413557297	0.177357172885405	0.0886785864427027
53	0.925963337912043	0.148073324175914	0.0740366620879569
54	0.912674734124391	0.174650531751218	0.0873252658756092
55	0.898332238999721	0.203335522000557	0.101667761000279
56	0.937212006557819	0.125575986884362	0.0627879934421808
57	0.934713023564938	0.130573952870125	0.0652869764350624
58	0.920086201707793	0.159827596584413	0.0799137982922066
59	0.923352385106453	0.153295229787093	0.0766476148935466
60	0.907685243945541	0.184629512108917	0.0923147560544586
61	0.902564003946702	0.194871992106596	0.0974359960532981
62	0.909897981535234	0.180204036929531	0.0901020184647656
63	0.905317954970519	0.189364090058963	0.0946820450294814
64	0.888842594532079	0.222314810935841	0.111157405467921
65	0.869550154272492	0.260899691455015	0.130449845727508
66	0.870503387516213	0.258993224967574	0.129496612483787
67	0.865404955315194	0.269190089369611	0.134595044684806
68	0.842911147916814	0.314177704166372	0.157088852083186
69	0.819059382917869	0.361881234164261	0.180940617082131
70	0.808441701366024	0.383116597267953	0.191558298633976
71	0.845248147980683	0.309503704038634	0.154751852019317
72	0.843592082597495	0.312815834805009	0.156407917402505
73	0.820672152247426	0.358655695505148	0.179327847752574
74	0.808153109644949	0.383693780710102	0.191846890355051
75	0.782475063530988	0.435049872938024	0.217524936469012
76	0.764869672686035	0.470260654627929	0.235130327313965
77	0.739829049050713	0.520341901898573	0.260170950949287
78	0.713674966330915	0.57265006733817	0.286325033669085
79	0.681081836497367	0.637836327005266	0.318918163502633
80	0.65593909921767	0.688121801564659	0.34406090078233
81	0.642507322432647	0.714985355134706	0.357492677567353
82	0.651118533898838	0.697762932202324	0.348881466101162
83	0.652009971157234	0.695980057685532	0.347990028842766
84	0.632167853114181	0.735664293771638	0.367832146885819
85	0.604080425091346	0.791839149817308	0.395919574908654
86	0.568589999395772	0.862820001208456	0.431410000604228
87	0.537389229216822	0.925221541566355	0.462610770783178
88	0.502756350755118	0.994487298489765	0.497243649244882
89	0.52326167524889	0.953476649502221	0.47673832475111
90	0.48919117646934	0.978382352938681	0.51080882353066
91	0.467808766438244	0.935617532876488	0.532191233561756
92	0.436837830617578	0.873675661235157	0.563162169382422
93	0.405152733067056	0.810305466134111	0.594847266932944
94	0.399988461378533	0.799976922757067	0.600011538621467
95	0.38338658594353	0.766773171887061	0.61661341405647
96	0.350502503357908	0.701005006715817	0.649497496642092
97	0.623235519193825	0.75352896161235	0.376764480806175
98	0.6067894457674	0.786421108465199	0.3932105542326
99	0.578791720010968	0.842416559978064	0.421208279989032
100	0.555519159237611	0.888961681524777	0.444480840762389
101	0.523223985355824	0.953552029288352	0.476776014644176
102	0.532500620094514	0.934998759810972	0.467499379905486
103	0.502004360981878	0.995991278036243	0.497995639018122
104	0.488387321378502	0.976774642757004	0.511612678621498
105	0.459838655668365	0.91967731133673	0.540161344331635
106	0.559738633299571	0.880522733400857	0.440261366700429
107	0.536177917175558	0.927644165648885	0.463822082824442
108	0.503052026578575	0.99389594684285	0.496947973421425
109	0.471203535254103	0.942407070508206	0.528796464745897
110	0.437763543496368	0.875527086992737	0.562236456503632
111	0.407678389481497	0.815356778962994	0.592321610518503
112	0.445069077210605	0.890138154421209	0.554930922789395
113	0.426782717372829	0.853565434745658	0.573217282627171
114	0.39356375178885	0.787127503577699	0.60643624821115
115	0.360320083120748	0.720640166241497	0.639679916879252
116	0.328796892844134	0.657593785688269	0.671203107155866
117	0.371017626568984	0.742035253137967	0.628982373431016
118	0.344191272181578	0.688382544363156	0.655808727818422
119	0.325177148534311	0.650354297068623	0.674822851465689
120	0.297970395052734	0.595940790105469	0.702029604947266
121	0.291252322738584	0.582504645477167	0.708747677261416
122	0.265265098727521	0.530530197455041	0.734734901272479
123	0.298669715446877	0.597339430893754	0.701330284553123
124	0.358603119976688	0.717206239953376	0.641396880023312
125	0.358411131922111	0.716822263844222	0.641588868077889
126	0.348528647916043	0.697057295832086	0.651471352083957
127	0.322116458089379	0.644232916178757	0.677883541910621
128	0.293973149884724	0.587946299769447	0.706026850115276
129	0.364581365095385	0.729162730190769	0.635418634904615
130	0.354754099145963	0.709508198291926	0.645245900854037
131	0.329929852675074	0.659859705350147	0.670070147324926
132	0.311048214270001	0.622096428540003	0.688951785729999
133	0.353527809045124	0.707055618090248	0.646472190954876
134	0.329132586550148	0.658265173100296	0.670867413449852
135	0.325200655963311	0.650401311926622	0.674799344036689
136	0.391285758669275	0.78257151733855	0.608714241330725
137	0.416288201955224	0.832576403910447	0.583711798044776
138	0.682385243032269	0.635229513935462	0.317614756967731
139	0.699875090867504	0.600249818264992	0.300124909132496
140	0.693521823136054	0.612956353727892	0.306478176863946
141	0.664337851387239	0.671324297225522	0.335662148612761
142	0.651768077311751	0.696463845376499	0.348231922688249
143	0.631801278082111	0.736397443835778	0.368198721917889
144	0.602050502573482	0.795898994853035	0.397949497426518
145	0.600242673200386	0.799514653599227	0.399757326799614
146	0.569163377541088	0.861673244917824	0.430836622458912
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185	0.994994217179689	0.0100115656406229	0.00500578282031146
186	0.994378625152733	0.011242749694533	0.00562137484726651
187	0.995437394654027	0.00912521069194651	0.00456260534597326
188	0.994765201720053	0.0104695965598944	0.00523479827994722
189	0.993255802748827	0.0134883945023463	0.00674419725117316
190	0.992399770481113	0.0152004590377746	0.00760022951888728
191	0.992880160303905	0.0142396793921901	0.00711983969609504
192	0.991493712996237	0.0170125740075263	0.00850628700376313
193	0.994827961549914	0.0103440769001722	0.00517203845008609
194	0.993538191260464	0.0129236174790713	0.00646180873953567
195	0.992320190751986	0.0153596184960273	0.00767980924801367
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198	0.984669549338062	0.0306609013238752	0.0153304506619376
199	0.980596369238728	0.0388072615225446	0.0194036307612723
200	0.978962447294999	0.0420751054100012	0.0210375527050006
201	0.974871568685504	0.0502568626289929	0.0251284313144964
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207	0.973547243123917	0.052905513752165	0.0264527568760825
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211	0.979467909847275	0.0410641803054507	0.0205320901527254
212	0.974500306769629	0.0509993864607428	0.0254996932303714
213	0.972551669399006	0.0548966612019887	0.0274483306009944
214	0.976578638912029	0.0468427221759421	0.023421361087971
215	0.972254147276757	0.0554917054464862	0.0277458527232431
216	0.967728210313537	0.064543579372926	0.032271789686463
217	0.959955062852266	0.0800898742954674	0.0400449371477337
218	0.95144520341477	0.0971095931704591	0.0485547965852295
219	0.966224376763136	0.067551246473729	0.0337756232368645
220	0.95781387841409	0.0843722431718208	0.0421861215859104
221	0.959360470919242	0.0812790581615151	0.0406395290807576
222	0.97878018318314	0.0424396336337202	0.0212198168168601
223	0.973687107458707	0.0526257850825863	0.0263128925412932
224	0.971297572357167	0.057404855285666	0.028702427642833
225	0.964714988667186	0.070570022665629	0.0352850113328145
226	0.964778985070863	0.0704420298582738	0.0352210149291369
227	0.958644305060538	0.0827113898789237	0.0413556949394619
228	0.957118743752742	0.0857625124945158	0.0428812562472579
229	0.988363973635081	0.0232720527298374	0.0116360263649187
230	0.993021138007744	0.0139577239845113	0.00697886199225563
231	0.990754025120382	0.0184919497592356	0.00924597487961779
232	0.99109733131234	0.0178053373753208	0.00890266868766041
233	0.989088383343286	0.0218232333134274	0.0109116166567137
234	0.990344583919506	0.0193108321609877	0.00965541608049385
235	0.988047152209233	0.023905695581534	0.011952847790767
236	0.994310670526552	0.0113786589468953	0.00568932947344765
237	0.99311004106728	0.0137799178654409	0.00688995893272043
238	0.990829377786149	0.0183412444277023	0.00917062221385116
239	0.992112848899333	0.0157743022013341	0.00788715110066705
240	0.989506218873417	0.0209875622531659	0.0104937811265829
241	0.986739529299319	0.0265209414013625	0.0132604707006812
242	0.983790379653859	0.0324192406922814	0.0162096203461407
243	0.978941926263212	0.0421161474735768	0.0210580737367884
244	0.971951841920903	0.0560963161581934	0.0280481580790967
245	0.962447691959613	0.0751046160807739	0.037552308040387
246	0.976095528093138	0.0478089438137238	0.0239044719068619
247	0.982723311345979	0.0345533773080417	0.0172766886540208
248	0.982189947675809	0.0356201046483817	0.0178100523241909
249	0.980418827474563	0.0391623450508745	0.0195811725254373
250	0.974139201253103	0.051721597493793	0.0258607987468965
251	0.964962349832293	0.0700753003354131	0.0350376501677066
252	0.964410222096021	0.0711795558079582	0.0355897779039791
253	0.952439344463346	0.095121311073308	0.047560655536654
254	0.935683722365975	0.12863255526805	0.0643162776340251
255	0.91947240912099	0.16105518175802	0.08052759087901
256	0.96056310099825	0.0788737980035005	0.0394368990017503
257	0.950819332146326	0.0983613357073489	0.0491806678536745
258	0.951237980454517	0.0975240390909656	0.0487620195454828
259	0.93228692887319	0.13542614225362	0.0677130711268099
260	0.952636707439857	0.0947265851202851	0.0473632925601425
261	0.933177695594172	0.133644608811657	0.0668223044058285
262	0.907290356939515	0.18541928612097	0.0927096430604852
263	0.888416560715044	0.223166878569912	0.111583439284956
264	0.86145298108253	0.277094037834939	0.13854701891747
265	0.829412473072578	0.341175053854844	0.170587526927422
266	0.805615472623644	0.388769054752713	0.194384527376356
267	0.749383602216127	0.501232795567747	0.250616397783874
268	0.924319755647051	0.151360488705898	0.075680244352949
269	0.911189188856435	0.177621622287129	0.0888108111435646
270	0.871907389150175	0.25618522169965	0.128092610849825
271	0.84332111405689	0.31335777188622	0.15667888594311
272	0.777237815612918	0.445524368774165	0.222762184387082
273	0.715151616264766	0.569696767470468	0.284848383735234
274	0.690243696718992	0.619512606562016	0.309756303281008
275	0.655645193961098	0.688709612077803	0.344354806038902
276	0.556950673462208	0.886098653075584	0.443049326537792
277	0.95036278940528	0.0992744211894403	0.0496372105947201
278	0.896325008119422	0.207349983761155	0.103674991880578
279	0.845603953640671	0.308792092718659	0.154396046359329

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	1	0.003690036900369	OK
5% type I error level	46	0.169741697416974	NOK
10% type I error level	81	0.298892988929889	NOK

\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 & 1 & 0.003690036900369 & OK \tabularnewline
5% type I error level & 46 & 0.169741697416974 & NOK \tabularnewline
10% type I error level & 81 & 0.298892988929889 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=202089&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]1[/C][C]0.003690036900369[/C][C]OK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]46[/C][C]0.169741697416974[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]81[/C][C]0.298892988929889[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=202089&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=202089&T=6

As an alternative you can also use a QR Code:

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	1	0.003690036900369	OK
5% type I error level	46	0.169741697416974	NOK
10% type I error level	81	0.298892988929889	NOK

Figure 1

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Figure 6

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Figure 7

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Figure 9

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Figure 10

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Parameters (Session):

par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;

Parameters (R input):

par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;

R code (references can be found in the software module):

library(lattice)
library(lmtest)
n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
par1 <- as.numeric(par1)
x <- t(y)
k <- length(x[1,])
n <- length(x[,1])
x1 <- cbind(x[,par1], x[,1:k!=par1])
mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1])
colnames(x1) <- mycolnames #colnames(x)[par1]
x <- x1
if (par3 == 'First Differences'){
x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep='')))
for (i in 1:n-1) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
}
if (par2 == 'Include Monthly Dummies'){
x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep ='')))
for (i in 1:11){
x2[seq(i,n,12),i] <- 1
}
x <- cbind(x, x2)
}
if (par2 == 'Include Quarterly Dummies'){
x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep ='')))
for (i in 1:3){
x2[seq(i,n,4),i] <- 1
}
x <- cbind(x, x2)
}
k <- length(x[1,])
if (par3 == 'Linear Trend'){
x <- cbind(x, c(1:n))
colnames(x)[k+1] <- 't'
}
x
k <- length(x[1,])
df <- as.data.frame(x)
(mylm <- lm(df))
(mysum <- summary(mylm))
if (n > n25) {
kp3 <- k + 3
nmkm3 <- n - k - 3
gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
numgqtests <- 0
numsignificant1 <- 0
numsignificant5 <- 0
numsignificant10 <- 0
for (mypoint in kp3:nmkm3) {
j <- 0
numgqtests <- numgqtests + 1
for (myalt in c('greater', 'two.sided', 'less')) {
j <- j + 1
gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value
}
if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1
if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1
if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1
}
gqarr
}
bitmap(file='test0.png')
plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')
points(x[,1]-mysum$resid)
grid()
dev.off()
bitmap(file='test1.png')
plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
grid()
dev.off()
bitmap(file='test2.png')
hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
grid()
dev.off()
bitmap(file='test3.png')
densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
dev.off()
bitmap(file='test4.png')
qqnorm(mysum$resid, main='Residual Normal Q-Q Plot')
qqline(mysum$resid)
grid()
dev.off()
(myerror <- as.ts(mysum$resid))
bitmap(file='test5.png')
dum <- cbind(lag(myerror,k=1),myerror)
dum
dum1 <- dum[2:length(myerror),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
lines(lowess(z))
abline(lm(z))
grid()
dev.off()
bitmap(file='test6.png')
acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
grid()
dev.off()
bitmap(file='test7.png')
pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
grid()
dev.off()
bitmap(file='test8.png')
opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
plot(mylm, las = 1, sub='Residual Diagnostics')
par(opar)
dev.off()
if (n > n25) {
bitmap(file='test9.png')
plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
grid()
dev.off()
}
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
a<-table.row.end(a)
myeq <- colnames(x)[1]
myeq <- paste(myeq, '[t] = ', sep='')
for (i in 1:k){
if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, mysum$coefficients[i,1], sep=' ')
if (rownames(mysum$coefficients)[i] != '(Intercept)') {
myeq <- paste(myeq, rownames(mysum$coefficients)[i], sep='')
if (rownames(mysum$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='')
}
}
myeq <- paste(myeq, ' + e[t]')
a<-table.row.start(a)
a<-table.element(a, myeq)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',header=TRUE)
a<-table.element(a,'Parameter',header=TRUE)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE)
a<-table.element(a,'2-tail p-value',header=TRUE)
a<-table.element(a,'1-tail p-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:k){
a<-table.row.start(a)
a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE)
a<-table.element(a,mysum$coefficients[i,1])
a<-table.element(a, round(mysum$coefficients[i,2],6))
a<-table.element(a, round(mysum$coefficients[i,3],4))
a<-table.element(a, round(mysum$coefficients[i,4],6))
a<-table.element(a, round(mysum$coefficients[i,4]/2,6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a, sqrt(mysum$r.squared))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a, mysum$r.squared)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a, mysum$adj.r.squared)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a, mysum$fstatistic[1])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, mysum$fstatistic[2])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
a<-table.element(a, mysum$fstatistic[3])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a, 1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Residual Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Residual Standard Deviation',1,TRUE)
a<-table.element(a, mysum$sigma)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a, sum(myerror*myerror))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,x[i])
a<-table.element(a,x[i]-mysum$resid[i])
a<-table.element(a,mysum$resid[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable4.tab')
if (n > n25) {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-values',header=TRUE)
a<-table.element(a,'Alternative Hypothesis',3,header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'breakpoint index',header=TRUE)
a<-table.element(a,'greater',header=TRUE)
a<-table.element(a,'2-sided',header=TRUE)
a<-table.element(a,'less',header=TRUE)
a<-table.row.end(a)
for (mypoint in kp3:nmkm3) {
a<-table.row.start(a)
a<-table.element(a,mypoint,header=TRUE)
a<-table.element(a,gqarr[mypoint-kp3+1,1])
a<-table.element(a,gqarr[mypoint-kp3+1,2])
a<-table.element(a,gqarr[mypoint-kp3+1,3])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable5.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Description',header=TRUE)
a<-table.element(a,'# significant tests',header=TRUE)
a<-table.element(a,'% significant tests',header=TRUE)
a<-table.element(a,'OK/NOK',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'1% type I error level',header=TRUE)
a<-table.element(a,numsignificant1)
a<-table.element(a,numsignificant1/numgqtests)
if (numsignificant1/numgqtests < 0.01) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'5% type I error level',header=TRUE)
a<-table.element(a,numsignificant5)
a<-table.element(a,numsignificant5/numgqtests)
if (numsignificant5/numgqtests < 0.05) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'10% type I error level',header=TRUE)
a<-table.element(a,numsignificant10)
a<-table.element(a,numsignificant10/numgqtests)
if (numsignificant10/numgqtests < 0.1) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable6.tab')
}

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code